11. Segment-level Feature/Stress Merge 상세보고서
논문 작성용 상세 본문
11번은 7번에서 생성한 57,619개 SPEAKER 세그먼트에 segment_id를 부여하고 원 음성에서 세그먼트 단위 duration, energy, pitch를 산출해 병합 입력 CSV를 만드는 단계이다.
v205 실행 결과 generated_input_count와 matched_segment_count가 모두 57,619건으로 확인되어 이전의 병합 매칭 0건 문제는 해결됐다.
energy는 57,611건, pitch는 53,098건 산출됐다. pitch는 무성음·초단구간에서 값이 존재하지 않을 수 있으므로 전체 세그먼트와 동일하지 않아도 정상이다.
segment-level STT 텍스트가 아직 연결되지 않아 word_count, WPM, stress_score는 모두 0건이며 57,619건 전체가 PENDING stress로 남아 있다.
11번은 화자분리 세그먼트를 실제 음성 구간과 다시 연결하여 duration, energy, pitch를 산출하고 segment_id 기준으로 병합한 단계이다.
생성 입력과 병합 매칭은 각각 57,619건으로 전수 완료되었다. energy는 57,611건, pitch는 53,098건이며 초단구간·무성음에서는 값이 없을 수 있다.
segment-level STT 텍스트가 연결되지 않아 word_count, WPM, stress_score는 0건이다. 따라서 현재 상태는 acoustic feature merge 완료, stress merge PENDING이다.
다음 단계는 세그먼트 STT 병합, WPM 계산, 전역 기준 stress_score 생성, 응답쌍 stress 연결, high-stress 기준 산출 순서이다.
분석 수치 및 결과표
표 11-1. 세그먼트 병합 입력 생성 결과
| 항목 | 값 | 상태 |
|---|---|---|
| segment_count | 57,619 | 완료 |
| generated_input_count | 57,619 | 완료 |
| matched_segment_count | 57,619 | 완료 |
| energy_complete_count | 57,611 | 완료 |
| pitch_complete_count | 53,098 | voiced 기준 완료 |
| wpm_complete_count | 0 | PENDING_STT |
| stress_complete_count | 0 | PENDING |
| pending_stress_count | 57,619 | 다음 단계 |
표 11-2. 0건에서 57,619건으로 변경된 이유
| 구분 | 이전 | 현재 |
|---|---|---|
| 세그먼트 skeleton | 57,619 | 57,619 |
| feature 입력 CSV | 없음 | 생성 완료 |
| segment_id 매칭 | 0 | 57,619 |
| stress_score | 0 | 0 - STT/WPM 미완료 |
표 11-3. 다음 단계
| 순서 | 작업 | 결과 |
|---|---|---|
| 1 | segment별 STT 텍스트 연결 | word_count 생성 |
| 2 | duration 기준 WPM 계산 | wpm_complete 증가 |
| 3 | 전역 기준 stress_score 산출 | stress_complete 증가 |
| 4 | 응답쌍 stress 병합 | S0→S1 탐색 가능 |
| 5 | high-stress 기준 확정 | Table 4/5 확정 |
표 11-Q. 연구 질문
| 번호 | 연구 질문 |
|---|---|
| 1 | 57,619개 세그먼트와 acoustic feature 입력을 실제로 전수 매칭했는가? |
| 2 | stress_score가 0건인 이유와 다음 병합 단계는 무엇인가? |
표 11-M. 분석 방법 및 도구
| 순서 | 방법/도구 |
|---|---|
| 1 | segment_id generation |
| 2 | Audio slicing |
| 3 | RMS energy |
| 4 | pYIN pitch |
| 5 | Segment merge |
| 6 | STT/WPM pending guard |
분석 그림 및 도식
원본 분석 산출물 연계
산출물 JSON: reports/research_console/segment_feature_stress_merge_status_v203.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v205_segment_feature_stress_input_builder |
| generated_at | 2026-07-11 08:36:00 |
| menu_no | 11 |
| menu_label | Segment-level Feature/Stress Input Builder |
| state | DONE_SEGMENT_FEATURE_INPUT__STRESS_PENDING_STT_WPM |
| call_count | 1000 |
| segment_count | 57619 |
| speaker_side_record_count | 2000 |
| generated_input_count | 57619 |
| matched_segment_count | 57619 |
| energy_complete_count | 57611 |
| pitch_complete_count | 53098 |
| wpm_complete_count | 0 |
| stress_complete_count | 0 |
| pending_stress_count | 57619 |
| with_pitch | True |
| allow_acoustic_only_stress | False |
| judgment | segment-level acoustic feature 입력 데이터는 생성되었습니다. 다만 segment-level STT 텍스트가 없어 WPM/stress_score는 PENDING입니다. 다음 단계는 세그먼트 STT 병합입니다. |
| main_paper_replacement | FORBIDDEN |
| customer_agent_claim | FORBIDDEN_UNTIL_ROLE_MAPPING_VALIDATED |
| professor_sentence | 11번은 7번에서 생성한 SPEAKER 세그먼트 57,619건을 기준으로 segment_id를 부여하고, 원 음성에서 세그먼트 단위 duration/energy/pitch(선택)를 산출하여 9번/10번 stress 분석을 위한 입력 데이터를 생성하는 단계입니다. STT/WPM이 없는 경우 stress_score는 PENDING으로 유지합니다. |
| meta.audio_file_count | 1000 |
| meta.decode_ok_file_count | 1000 |
| meta.decode_fail_file_count | 0 |
| meta.energy_complete_count | 57611 |
| meta.pitch_complete_count | 53098 |
| meta.feature_complete_count | 0 |
| meta.acoustic_partial_complete_count | 57611 |
| meta.stress_complete_count | 0 |
| outputs.status_json_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_builder_status_v205.json |
| outputs.merge_status_json_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_merge_status_v203.json |
| outputs.segment_skeleton_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_merge_skeleton_v203.csv |
| outputs.segment_level_features_input_v205_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v205.csv |
| outputs.segment_level_features_input_v203_alias_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v203.csv |
| outputs.merged_csv_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v205.csv |
| outputs.merged_csv_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v203.csv |
| outputs.high_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\high_stress_segment_ready_v203.csv |
| outputs.pair_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\s0_s1_pair_stress_ready_v203.csv |
| outputs.mobile_report_html_v205 | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v205.html |
| outputs.mobile_report_html_v203_alias | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v203.html |
| mobile_build_exit_code | 0 |
| mobile_build_tail | [SOC-DEPLOY] package built: C:\AI\01.sci_voc_bot\deploy_packages\sci_voc_soc_mobile_n1000_20260711_083600.zip [SOC-DEPLOY] size=12776717 sha256=726440975683870d... paramiko ready [SOC-DEPLOY] auth=password-auth, user=hdyoo, password=y******!, host=1.234.75.139:22 [SOC-DEPLOY] verifying deployed package [SOC-DEPLOY] local summary rows: 1000 1000 1000 READY [SOC-DEPLOY] http summary rows: 1000 1000 1000 READY DEPLOY_OK |
산출물 JSON: reports/research_console/segment_feature_stress_merge_status_v205.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v205_segment_feature_stress_input_builder |
| generated_at | 2026-07-11 08:36:00 |
| menu_no | 11 |
| menu_label | Segment-level Feature/Stress Input Builder |
| state | DONE_SEGMENT_FEATURE_INPUT__STRESS_PENDING_STT_WPM |
| call_count | 1000 |
| segment_count | 57619 |
| speaker_side_record_count | 2000 |
| generated_input_count | 57619 |
| matched_segment_count | 57619 |
| energy_complete_count | 57611 |
| pitch_complete_count | 53098 |
| wpm_complete_count | 0 |
| stress_complete_count | 0 |
| pending_stress_count | 57619 |
| with_pitch | True |
| allow_acoustic_only_stress | False |
| judgment | segment-level acoustic feature 입력 데이터는 생성되었습니다. 다만 segment-level STT 텍스트가 없어 WPM/stress_score는 PENDING입니다. 다음 단계는 세그먼트 STT 병합입니다. |
| main_paper_replacement | FORBIDDEN |
| customer_agent_claim | FORBIDDEN_UNTIL_ROLE_MAPPING_VALIDATED |
| professor_sentence | 11번은 7번에서 생성한 SPEAKER 세그먼트 57,619건을 기준으로 segment_id를 부여하고, 원 음성에서 세그먼트 단위 duration/energy/pitch(선택)를 산출하여 9번/10번 stress 분석을 위한 입력 데이터를 생성하는 단계입니다. STT/WPM이 없는 경우 stress_score는 PENDING으로 유지합니다. |
| meta.audio_file_count | 1000 |
| meta.decode_ok_file_count | 1000 |
| meta.decode_fail_file_count | 0 |
| meta.energy_complete_count | 57611 |
| meta.pitch_complete_count | 53098 |
| meta.feature_complete_count | 0 |
| meta.acoustic_partial_complete_count | 57611 |
| meta.stress_complete_count | 0 |
| outputs.status_json_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_builder_status_v205.json |
| outputs.merge_status_json_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_merge_status_v203.json |
| outputs.segment_skeleton_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_merge_skeleton_v203.csv |
| outputs.segment_level_features_input_v205_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v205.csv |
| outputs.segment_level_features_input_v203_alias_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v203.csv |
| outputs.merged_csv_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v205.csv |
| outputs.merged_csv_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v203.csv |
| outputs.high_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\high_stress_segment_ready_v203.csv |
| outputs.pair_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\s0_s1_pair_stress_ready_v203.csv |
| outputs.mobile_report_html_v205 | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v205.html |
| outputs.mobile_report_html_v203_alias | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v203.html |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/high_stress_segment_ready_v203.csv (행 1, 열 7)
전체 행 포함
| analysis | status | threshold | segment_count | high_stress_segment_count | high_stress_ratio | note |
|---|---|---|---|---|---|---|
| high_stress_segment_detection | PENDING_SEGMENT_LEVEL_STRESS_SCORE | 57619 | segment-level stress_score 산출 전이므로 고스트레스 세그먼트 확정 보류 |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/s0_s1_pair_stress_ready_v203.csv (행 1, 열 6)
전체 행 포함
| pair_metric | status | correlation | p_value | n | note |
|---|---|---|---|---|---|
| S0 stress → S1 stress | PENDING_SEGMENT_LEVEL_STRESS_SCORE | 0 | segment-level stress_score와 S0→S1 pair join 전까지 보류 |
산출물 JSON: research_continuity/27_segment_feature_stress_merge_v203/segment_feature_stress_builder_status_v205.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v205_segment_feature_stress_input_builder |
| generated_at | 2026-07-11 08:36:00 |
| menu_no | 11 |
| menu_label | Segment-level Feature/Stress Input Builder |
| state | DONE_SEGMENT_FEATURE_INPUT__STRESS_PENDING_STT_WPM |
| call_count | 1000 |
| segment_count | 57619 |
| speaker_side_record_count | 2000 |
| generated_input_count | 57619 |
| matched_segment_count | 57619 |
| energy_complete_count | 57611 |
| pitch_complete_count | 53098 |
| wpm_complete_count | 0 |
| stress_complete_count | 0 |
| pending_stress_count | 57619 |
| with_pitch | True |
| allow_acoustic_only_stress | False |
| judgment | segment-level acoustic feature 입력 데이터는 생성되었습니다. 다만 segment-level STT 텍스트가 없어 WPM/stress_score는 PENDING입니다. 다음 단계는 세그먼트 STT 병합입니다. |
| main_paper_replacement | FORBIDDEN |
| customer_agent_claim | FORBIDDEN_UNTIL_ROLE_MAPPING_VALIDATED |
| professor_sentence | 11번은 7번에서 생성한 SPEAKER 세그먼트 57,619건을 기준으로 segment_id를 부여하고, 원 음성에서 세그먼트 단위 duration/energy/pitch(선택)를 산출하여 9번/10번 stress 분석을 위한 입력 데이터를 생성하는 단계입니다. STT/WPM이 없는 경우 stress_score는 PENDING으로 유지합니다. |
| meta.audio_file_count | 1000 |
| meta.decode_ok_file_count | 1000 |
| meta.decode_fail_file_count | 0 |
| meta.energy_complete_count | 57611 |
| meta.pitch_complete_count | 53098 |
| meta.feature_complete_count | 0 |
| meta.acoustic_partial_complete_count | 57611 |
| meta.stress_complete_count | 0 |
| outputs.status_json_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_builder_status_v205.json |
| outputs.merge_status_json_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_merge_status_v203.json |
| outputs.segment_skeleton_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_merge_skeleton_v203.csv |
| outputs.segment_level_features_input_v205_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v205.csv |
| outputs.segment_level_features_input_v203_alias_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v203.csv |
| outputs.merged_csv_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v205.csv |
| outputs.merged_csv_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v203.csv |
| outputs.high_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\high_stress_segment_ready_v203.csv |
| outputs.pair_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\s0_s1_pair_stress_ready_v203.csv |
| outputs.mobile_report_html_v205 | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v205.html |
| outputs.mobile_report_html_v203_alias | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v203.html |
| mobile_build_exit_code | 0 |
| mobile_build_tail | [SOC-DEPLOY] package built: C:\AI\01.sci_voc_bot\deploy_packages\sci_voc_soc_mobile_n1000_20260711_083600.zip [SOC-DEPLOY] size=12776717 sha256=726440975683870d... paramiko ready [SOC-DEPLOY] auth=password-auth, user=hdyoo, password=y******!, host=1.234.75.139:22 [SOC-DEPLOY] verifying deployed package [SOC-DEPLOY] local summary rows: 1000 1000 1000 READY [SOC-DEPLOY] http summary rows: 1000 1000 1000 READY DEPLOY_OK |
산출물 JSON: research_continuity/27_segment_feature_stress_merge_v203/segment_feature_stress_merge_status_v203.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v205_segment_feature_stress_input_builder |
| generated_at | 2026-07-11 08:36:00 |
| menu_no | 11 |
| menu_label | Segment-level Feature/Stress Input Builder |
| state | DONE_SEGMENT_FEATURE_INPUT__STRESS_PENDING_STT_WPM |
| call_count | 1000 |
| segment_count | 57619 |
| speaker_side_record_count | 2000 |
| generated_input_count | 57619 |
| matched_segment_count | 57619 |
| energy_complete_count | 57611 |
| pitch_complete_count | 53098 |
| wpm_complete_count | 0 |
| stress_complete_count | 0 |
| pending_stress_count | 57619 |
| with_pitch | True |
| allow_acoustic_only_stress | False |
| judgment | segment-level acoustic feature 입력 데이터는 생성되었습니다. 다만 segment-level STT 텍스트가 없어 WPM/stress_score는 PENDING입니다. 다음 단계는 세그먼트 STT 병합입니다. |
| main_paper_replacement | FORBIDDEN |
| customer_agent_claim | FORBIDDEN_UNTIL_ROLE_MAPPING_VALIDATED |
| professor_sentence | 11번은 7번에서 생성한 SPEAKER 세그먼트 57,619건을 기준으로 segment_id를 부여하고, 원 음성에서 세그먼트 단위 duration/energy/pitch(선택)를 산출하여 9번/10번 stress 분석을 위한 입력 데이터를 생성하는 단계입니다. STT/WPM이 없는 경우 stress_score는 PENDING으로 유지합니다. |
| meta.audio_file_count | 1000 |
| meta.decode_ok_file_count | 1000 |
| meta.decode_fail_file_count | 0 |
| meta.energy_complete_count | 57611 |
| meta.pitch_complete_count | 53098 |
| meta.feature_complete_count | 0 |
| meta.acoustic_partial_complete_count | 57611 |
| meta.stress_complete_count | 0 |
| outputs.status_json_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_builder_status_v205.json |
| outputs.merge_status_json_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_merge_status_v203.json |
| outputs.segment_skeleton_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_merge_skeleton_v203.csv |
| outputs.segment_level_features_input_v205_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v205.csv |
| outputs.segment_level_features_input_v203_alias_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v203.csv |
| outputs.merged_csv_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v205.csv |
| outputs.merged_csv_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v203.csv |
| outputs.high_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\high_stress_segment_ready_v203.csv |
| outputs.pair_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\s0_s1_pair_stress_ready_v203.csv |
| outputs.mobile_report_html_v205 | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v205.html |
| outputs.mobile_report_html_v203_alias | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v203.html |
| mobile_build_exit_code | 0 |
| mobile_build_tail | [SOC-DEPLOY] package built: C:\AI\01.sci_voc_bot\deploy_packages\sci_voc_soc_mobile_n1000_20260711_083600.zip [SOC-DEPLOY] size=12776717 sha256=726440975683870d... paramiko ready [SOC-DEPLOY] auth=password-auth, user=hdyoo, password=y******!, host=1.234.75.139:22 [SOC-DEPLOY] verifying deployed package [SOC-DEPLOY] local summary rows: 1000 1000 1000 READY [SOC-DEPLOY] http summary rows: 1000 1000 1000 READY DEPLOY_OK |
산출물 JSON: research_continuity/27_segment_feature_stress_merge_v203/segment_feature_stress_merge_status_v205.json
전체 행 포함
| 경로 | 값 |
|---|---|
| version | v205_segment_feature_stress_input_builder |
| generated_at | 2026-07-11 08:36:00 |
| menu_no | 11 |
| menu_label | Segment-level Feature/Stress Input Builder |
| state | DONE_SEGMENT_FEATURE_INPUT__STRESS_PENDING_STT_WPM |
| call_count | 1000 |
| segment_count | 57619 |
| speaker_side_record_count | 2000 |
| generated_input_count | 57619 |
| matched_segment_count | 57619 |
| energy_complete_count | 57611 |
| pitch_complete_count | 53098 |
| wpm_complete_count | 0 |
| stress_complete_count | 0 |
| pending_stress_count | 57619 |
| with_pitch | True |
| allow_acoustic_only_stress | False |
| judgment | segment-level acoustic feature 입력 데이터는 생성되었습니다. 다만 segment-level STT 텍스트가 없어 WPM/stress_score는 PENDING입니다. 다음 단계는 세그먼트 STT 병합입니다. |
| main_paper_replacement | FORBIDDEN |
| customer_agent_claim | FORBIDDEN_UNTIL_ROLE_MAPPING_VALIDATED |
| professor_sentence | 11번은 7번에서 생성한 SPEAKER 세그먼트 57,619건을 기준으로 segment_id를 부여하고, 원 음성에서 세그먼트 단위 duration/energy/pitch(선택)를 산출하여 9번/10번 stress 분석을 위한 입력 데이터를 생성하는 단계입니다. STT/WPM이 없는 경우 stress_score는 PENDING으로 유지합니다. |
| meta.audio_file_count | 1000 |
| meta.decode_ok_file_count | 1000 |
| meta.decode_fail_file_count | 0 |
| meta.energy_complete_count | 57611 |
| meta.pitch_complete_count | 53098 |
| meta.feature_complete_count | 0 |
| meta.acoustic_partial_complete_count | 57611 |
| meta.stress_complete_count | 0 |
| outputs.status_json_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_builder_status_v205.json |
| outputs.merge_status_json_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_feature_stress_merge_status_v203.json |
| outputs.segment_skeleton_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_merge_skeleton_v203.csv |
| outputs.segment_level_features_input_v205_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v205.csv |
| outputs.segment_level_features_input_v203_alias_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_input_v203.csv |
| outputs.merged_csv_v205 | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v205.csv |
| outputs.merged_csv_v203_alias | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\segment_level_features_stress_merged_v203.csv |
| outputs.high_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\high_stress_segment_ready_v203.csv |
| outputs.pair_stress_ready_csv | C:\AI\01.sci_voc_bot\research_continuity\27_segment_feature_stress_merge_v203\s0_s1_pair_stress_ready_v203.csv |
| outputs.mobile_report_html_v205 | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v205.html |
| outputs.mobile_report_html_v203_alias | C:\AI\01.sci_voc_bot\reports\research_console\segment_level_feature_stress_merge_v203.html |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/segment_level_features_input_template_v203.csv (행 500, 열 14)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| segment_id | audio_name | speaker | start_sec | end_sec | duration_sec | text | word_count | energy_mean | pitch_mean | wpm | stress_score | merge_status | role_mapping |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00__350002022300000__SPEAKER_00__0.031_3.119__000001 | 00__350002022300000.wav | SPEAKER_00 | 0.031 | 3.119 | 3.088 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__4.267_7.439__000002 | 00__350002022300000.wav | SPEAKER_01 | 4.267 | 7.439 | 3.172 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__4.283_4.570__000003 | 00__350002022300000.wav | SPEAKER_00 | 4.283 | 4.57 | 0.287 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__5.768_6.832__000004 | 00__350002022300000.wav | SPEAKER_00 | 5.768 | 6.832 | 1.063 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__7.760_10.679__000005 | 00__350002022300000.wav | SPEAKER_01 | 7.76 | 10.679 | 2.919 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__10.679_10.797__000006 | 00__350002022300000.wav | SPEAKER_00 | 10.679 | 10.797 | 0.118 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__10.797_10.932__000007 | 00__350002022300000.wav | SPEAKER_01 | 10.797 | 10.932 | 0.135 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__12.164_19.471__000008 | 00__350002022300000.wav | SPEAKER_01 | 12.164 | 19.471 | 7.307 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__19.690_19.977__000009 | 00__350002022300000.wav | SPEAKER_00 | 19.69 | 19.977 | 0.287 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__19.977_20.281__000010 | 00__350002022300000.wav | SPEAKER_01 | 19.977 | 20.281 | 0.304 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__21.817_28.735__000011 | 00__350002022300000.wav | SPEAKER_01 | 21.817 | 28.735 | 6.919 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__28.313_28.347__000012 | 00__350002022300000.wav | SPEAKER_00 | 28.313 | 28.347 | 0.034 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__29.123_32.718__000013 | 00__350002022300000.wav | SPEAKER_01 | 29.123 | 32.718 | 3.594 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__35.367_36.903__000014 | 00__350002022300000.wav | SPEAKER_00 | 35.367 | 36.903 | 1.536 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__38.354_38.405__000015 | 00__350002022300000.wav | SPEAKER_01 | 38.354 | 38.405 | 0.051 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__38.911_45.425__000016 | 00__350002022300000.wav | SPEAKER_01 | 38.911 | 45.425 | 6.514 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__40.193_40.936__000017 | 00__350002022300000.wav | SPEAKER_00 | 40.193 | 40.936 | 0.742 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__45.627_48.040__000018 | 00__350002022300000.wav | SPEAKER_01 | 45.627 | 48.04 | 2.413 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__45.779_46.133__000019 | 00__350002022300000.wav | SPEAKER_00 | 45.779 | 46.133 | 0.354 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__49.593_54.487__000020 | 00__350002022300000.wav | SPEAKER_01 | 49.593 | 54.487 | 4.894 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__54.250_54.470__000021 | 00__350002022300000.wav | SPEAKER_00 | 54.25 | 54.47 | 0.219 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_00__54.487_54.773__000022 | 00__350002022300000.wav | SPEAKER_00 | 54.487 | 54.773 | 0.287 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__54.959_56.714__000023 | 00__350002022300000.wav | SPEAKER_01 | 54.959 | 56.714 | 1.755 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__56.849_57.220__000024 | 00__350002022300000.wav | SPEAKER_01 | 56.849 | 57.22 | 0.371 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300000__SPEAKER_01__58.925_63.886__000025 | 00__350002022300000.wav | SPEAKER_01 | 58.925 | 63.886 | 4.961 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| ... 중간 450행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | |||||||||||||
| 00__350002022300007__SPEAKER_01__211.610_213.972__000476 | 00__350002022300007.wav | SPEAKER_01 | 211.61 | 213.972 | 2.363 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300007__SPEAKER_00__213.972_216.318__000477 | 00__350002022300007.wav | SPEAKER_00 | 213.972 | 216.318 | 2.346 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300007__SPEAKER_01__216.520_218.377__000478 | 00__350002022300007.wav | SPEAKER_01 | 216.52 | 218.377 | 1.856 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300007__SPEAKER_00__217.988_219.440__000479 | 00__350002022300007.wav | SPEAKER_00 | 217.988 | 219.44 | 1.451 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300007__SPEAKER_01__218.967_220.165__000480 | 00__350002022300007.wav | SPEAKER_01 | 218.967 | 220.165 | 1.198 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300007__SPEAKER_00__219.862_220.047__000481 | 00__350002022300007.wav | SPEAKER_00 | 219.862 | 220.047 | 0.186 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__0.082_2.090__000482 | 00__350002022300008.wav | SPEAKER_01 | 0.082 | 2.09 | 2.008 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__2.393_4.807__000483 | 00__350002022300008.wav | SPEAKER_00 | 2.393 | 4.807 | 2.413 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__4.807_5.600__000484 | 00__350002022300008.wav | SPEAKER_01 | 4.807 | 5.6 | 0.793 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__5.566_12.215__000485 | 00__350002022300008.wav | SPEAKER_00 | 5.566 | 12.215 | 6.649 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__12.603_14.932__000486 | 00__350002022300008.wav | SPEAKER_01 | 12.603 | 14.932 | 2.329 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__14.172_14.476__000487 | 00__350002022300008.wav | SPEAKER_00 | 14.172 | 14.476 | 0.304 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__15.353_15.927__000488 | 00__350002022300008.wav | SPEAKER_00 | 15.353 | 15.927 | 0.574 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__16.214_17.986__000489 | 00__350002022300008.wav | SPEAKER_00 | 16.214 | 17.986 | 1.772 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__18.138_19.218__000490 | 00__350002022300008.wav | SPEAKER_01 | 18.138 | 19.218 | 1.08 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__19.437_20.551__000491 | 00__350002022300008.wav | SPEAKER_00 | 19.437 | 20.551 | 1.114 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__21.293_22.964__000492 | 00__350002022300008.wav | SPEAKER_01 | 21.293 | 22.964 | 1.671 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__22.643_23.673__000493 | 00__350002022300008.wav | SPEAKER_00 | 22.643 | 23.673 | 1.029 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__23.977_25.411__000494 | 00__350002022300008.wav | SPEAKER_01 | 23.977 | 25.411 | 1.434 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__25.698_26.137__000495 | 00__350002022300008.wav | SPEAKER_00 | 25.698 | 26.137 | 0.439 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__53.812_58.385__000496 | 00__350002022300008.wav | SPEAKER_01 | 53.812 | 58.385 | 4.573 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__58.621_60.140__000497 | 00__350002022300008.wav | SPEAKER_00 | 58.621 | 60.14 | 1.519 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__60.207_61.608__000498 | 00__350002022300008.wav | SPEAKER_01 | 60.207 | 61.608 | 1.401 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_01__61.675_67.278__000499 | 00__350002022300008.wav | SPEAKER_01 | 61.675 | 67.278 | 5.602 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING | ||
| 00__350002022300008__SPEAKER_00__66.012_68.324__000500 | 00__350002022300008.wav | SPEAKER_00 | 66.012 | 68.324 | 2.312 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | SKELETON_ONLY_PENDING_FEATURE_MERGE | PENDING |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/segment_level_features_input_v203.csv (행 57,619, 열 20)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| segment_id | audio_name | audio_path | exists | speaker | start_sec | end_sec | duration_sec | sample_rate | channels | probe_status | decode_status | text | word_count | energy_mean | pitch_mean | wpm | stress_score | stress_formula_status | merge_status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00__350002022300000__SPEAKER_00__0.031_3.119__000001 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 0.031 | 3.119 | 3.088 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05476243 | 224.507624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__4.267_7.439__000002 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 4.267 | 7.439 | 3.172 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05717194 | 136.178324 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__4.283_4.570__000003 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 4.283 | 4.57 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07147063 | 142.300568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__5.768_6.832__000004 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 5.768 | 6.832 | 1.063 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05953735 | 174.046484 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__7.760_10.679__000005 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 7.76 | 10.679 | 2.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04357441 | 128.625750 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__10.679_10.797__000006 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 10.679 | 10.797 | 0.118 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06676706 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__10.797_10.932__000007 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 10.797 | 10.932 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03883868 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__12.164_19.471__000008 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 12.164 | 19.471 | 7.307 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05996937 | 143.216607 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__19.690_19.977__000009 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 19.69 | 19.977 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07009622 | 184.422334 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__19.977_20.281__000010 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 19.977 | 20.281 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06258495 | 269.952568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__21.817_28.735__000011 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 21.817 | 28.735 | 6.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04108795 | 132.140551 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__28.313_28.347__000012 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 28.313 | 28.347 | 0.034 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00194903 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__29.123_32.718__000013 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 29.123 | 32.718 | 3.594 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04556859 | 143.746137 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__35.367_36.903__000014 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 35.367 | 36.903 | 1.536 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11377881 | 211.708640 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.354_38.405__000015 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.354 | 38.405 | 0.051 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00384756 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.911_45.425__000016 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.911 | 45.425 | 6.514 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06293251 | 137.944049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__40.193_40.936__000017 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 40.193 | 40.936 | 0.742 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.13592906 | 156.415997 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__45.627_48.040__000018 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 45.627 | 48.04 | 2.413 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05594229 | 161.496273 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__45.779_46.133__000019 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 45.779 | 46.133 | 0.354 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06075990 | 154.587695 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__49.593_54.487__000020 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 49.593 | 54.487 | 4.894 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05677043 | 129.793354 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.250_54.470__000021 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.25 | 54.47 | 0.219 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06108660 | 140.856160 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.487_54.773__000022 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.487 | 54.773 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05895352 | 138.758865 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__54.959_56.714__000023 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 54.959 | 56.714 | 1.755 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05213411 | 137.820678 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__56.849_57.220__000024 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 56.849 | 57.22 | 0.371 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05158553 | 164.384858 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__58.925_63.886__000025 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 58.925 | 63.886 | 4.961 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04586577 | 127.484054 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| ... 중간 57,569행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | |||||||||||||||||||
| 09__350002022300998__SPEAKER_00__4.351_7.034__057595 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 4.351 | 7.034 | 2.683 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05947952 | 177.129636 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__5.954_6.022__057596 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 5.954 | 6.022 | 0.068 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00610556 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__6.680_6.933__057597 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 6.68 | 6.933 | 0.253 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07927645 | 167.599624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__7.810_10.257__057598 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 7.81 | 10.257 | 2.447 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03669750 | 172.815121 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__10.882_12.299__057599 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 10.882 | 12.299 | 1.418 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02106520 | 172.753561 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__13.109_13.970__057600 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 13.109 | 13.97 | 0.861 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05715729 | 287.817050 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__13.970_15.286__057601 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 13.97 | 15.286 | 1.316 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06276976 | 179.195155 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__15.657_16.298__057602 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 15.657 | 16.298 | 0.641 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05317324 | 224.925860 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__15.961_23.723__057603 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 15.961 | 23.723 | 7.762 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05872604 | 194.641237 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__23.723_24.415__057604 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 23.723 | 24.415 | 0.692 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.01880802 | 167.168043 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__32.920_41.155__057605 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 32.92 | 41.155 | 8.235 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09712750 | 220.731528 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__42.978_43.113__057606 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 42.978 | 43.113 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00346261 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__43.366_44.767__057607 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 43.366 | 44.767 | 1.401 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09667852 | 273.622648 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__0.773_1.195__057608 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 0.773 | 1.195 | 0.422 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11174220 | 183.448361 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__1.432_5.448__057609 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 1.432 | 5.448 | 4.016 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07137586 | 173.691773 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__5.988_6.292__057610 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 5.988 | 6.292 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03353125 | 107.397692 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__6.612_16.231__057611 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 6.612 | 16.231 | 9.619 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.08224404 | 163.989266 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__16.552_20.888__057612 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 16.552 | 20.888 | 4.337 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07872391 | 178.774233 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__20.365_20.635__057613 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 20.365 | 20.635 | 0.27 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09700250 | 184.390913 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__21.209_24.027__057614 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 21.209 | 24.027 | 2.818 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07736503 | 163.670814 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__24.027_24.837__057615 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 24.027 | 24.837 | 0.81 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07804845 | 175.982792 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__25.225_31.165__057616 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 25.225 | 31.165 | 5.94 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07197413 | 158.798049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__27.470_28.145__057617 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 27.47 | 28.145 | 0.675 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09538542 | 174.212847 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__31.756_32.887__057618 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 31.756 | 32.887 | 1.131 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02995122 | 134.928754 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__32.887_34.405__057619 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 32.887 | 34.405 | 1.519 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06122714 | 153.440908 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/segment_level_features_input_v205.csv (행 57,619, 열 20)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| segment_id | audio_name | audio_path | exists | speaker | start_sec | end_sec | duration_sec | sample_rate | channels | probe_status | decode_status | text | word_count | energy_mean | pitch_mean | wpm | stress_score | stress_formula_status | merge_status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00__350002022300000__SPEAKER_00__0.031_3.119__000001 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 0.031 | 3.119 | 3.088 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05476243 | 224.507624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__4.267_7.439__000002 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 4.267 | 7.439 | 3.172 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05717194 | 136.178324 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__4.283_4.570__000003 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 4.283 | 4.57 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07147063 | 142.300568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__5.768_6.832__000004 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 5.768 | 6.832 | 1.063 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05953735 | 174.046484 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__7.760_10.679__000005 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 7.76 | 10.679 | 2.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04357441 | 128.625750 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__10.679_10.797__000006 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 10.679 | 10.797 | 0.118 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06676706 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__10.797_10.932__000007 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 10.797 | 10.932 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03883868 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__12.164_19.471__000008 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 12.164 | 19.471 | 7.307 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05996937 | 143.216607 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__19.690_19.977__000009 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 19.69 | 19.977 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07009622 | 184.422334 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__19.977_20.281__000010 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 19.977 | 20.281 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06258495 | 269.952568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__21.817_28.735__000011 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 21.817 | 28.735 | 6.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04108795 | 132.140551 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__28.313_28.347__000012 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 28.313 | 28.347 | 0.034 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00194903 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__29.123_32.718__000013 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 29.123 | 32.718 | 3.594 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04556859 | 143.746137 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__35.367_36.903__000014 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 35.367 | 36.903 | 1.536 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11377881 | 211.708640 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.354_38.405__000015 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.354 | 38.405 | 0.051 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00384756 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.911_45.425__000016 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.911 | 45.425 | 6.514 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06293251 | 137.944049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__40.193_40.936__000017 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 40.193 | 40.936 | 0.742 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.13592906 | 156.415997 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__45.627_48.040__000018 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 45.627 | 48.04 | 2.413 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05594229 | 161.496273 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__45.779_46.133__000019 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 45.779 | 46.133 | 0.354 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06075990 | 154.587695 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__49.593_54.487__000020 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 49.593 | 54.487 | 4.894 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05677043 | 129.793354 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.250_54.470__000021 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.25 | 54.47 | 0.219 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06108660 | 140.856160 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.487_54.773__000022 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.487 | 54.773 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05895352 | 138.758865 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__54.959_56.714__000023 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 54.959 | 56.714 | 1.755 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05213411 | 137.820678 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__56.849_57.220__000024 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 56.849 | 57.22 | 0.371 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05158553 | 164.384858 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__58.925_63.886__000025 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 58.925 | 63.886 | 4.961 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04586577 | 127.484054 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| ... 중간 57,569행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | |||||||||||||||||||
| 09__350002022300998__SPEAKER_00__4.351_7.034__057595 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 4.351 | 7.034 | 2.683 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05947952 | 177.129636 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__5.954_6.022__057596 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 5.954 | 6.022 | 0.068 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00610556 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__6.680_6.933__057597 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 6.68 | 6.933 | 0.253 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07927645 | 167.599624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__7.810_10.257__057598 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 7.81 | 10.257 | 2.447 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03669750 | 172.815121 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__10.882_12.299__057599 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 10.882 | 12.299 | 1.418 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02106520 | 172.753561 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__13.109_13.970__057600 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 13.109 | 13.97 | 0.861 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05715729 | 287.817050 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__13.970_15.286__057601 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 13.97 | 15.286 | 1.316 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06276976 | 179.195155 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__15.657_16.298__057602 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 15.657 | 16.298 | 0.641 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05317324 | 224.925860 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__15.961_23.723__057603 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 15.961 | 23.723 | 7.762 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05872604 | 194.641237 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__23.723_24.415__057604 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 23.723 | 24.415 | 0.692 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.01880802 | 167.168043 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__32.920_41.155__057605 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 32.92 | 41.155 | 8.235 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09712750 | 220.731528 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__42.978_43.113__057606 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 42.978 | 43.113 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00346261 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__43.366_44.767__057607 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 43.366 | 44.767 | 1.401 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09667852 | 273.622648 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__0.773_1.195__057608 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 0.773 | 1.195 | 0.422 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11174220 | 183.448361 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__1.432_5.448__057609 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 1.432 | 5.448 | 4.016 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07137586 | 173.691773 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__5.988_6.292__057610 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 5.988 | 6.292 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03353125 | 107.397692 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__6.612_16.231__057611 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 6.612 | 16.231 | 9.619 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.08224404 | 163.989266 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__16.552_20.888__057612 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 16.552 | 20.888 | 4.337 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07872391 | 178.774233 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__20.365_20.635__057613 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 20.365 | 20.635 | 0.27 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09700250 | 184.390913 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__21.209_24.027__057614 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 21.209 | 24.027 | 2.818 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07736503 | 163.670814 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__24.027_24.837__057615 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 24.027 | 24.837 | 0.81 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07804845 | 175.982792 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__25.225_31.165__057616 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 25.225 | 31.165 | 5.94 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07197413 | 158.798049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__27.470_28.145__057617 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 27.47 | 28.145 | 0.675 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09538542 | 174.212847 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__31.756_32.887__057618 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 31.756 | 32.887 | 1.131 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02995122 | 134.928754 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__32.887_34.405__057619 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 32.887 | 34.405 | 1.519 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06122714 | 153.440908 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/segment_level_features_stress_merged_v203.csv (행 57,619, 열 20)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| segment_id | audio_name | audio_path | exists | speaker | start_sec | end_sec | duration_sec | sample_rate | channels | probe_status | decode_status | text | word_count | energy_mean | pitch_mean | wpm | stress_score | stress_formula_status | merge_status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00__350002022300000__SPEAKER_00__0.031_3.119__000001 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 0.031 | 3.119 | 3.088 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05476243 | 224.507624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__4.267_7.439__000002 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 4.267 | 7.439 | 3.172 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05717194 | 136.178324 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__4.283_4.570__000003 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 4.283 | 4.57 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07147063 | 142.300568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__5.768_6.832__000004 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 5.768 | 6.832 | 1.063 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05953735 | 174.046484 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__7.760_10.679__000005 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 7.76 | 10.679 | 2.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04357441 | 128.625750 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__10.679_10.797__000006 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 10.679 | 10.797 | 0.118 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06676706 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__10.797_10.932__000007 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 10.797 | 10.932 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03883868 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__12.164_19.471__000008 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 12.164 | 19.471 | 7.307 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05996937 | 143.216607 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__19.690_19.977__000009 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 19.69 | 19.977 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07009622 | 184.422334 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__19.977_20.281__000010 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 19.977 | 20.281 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06258495 | 269.952568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__21.817_28.735__000011 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 21.817 | 28.735 | 6.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04108795 | 132.140551 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__28.313_28.347__000012 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 28.313 | 28.347 | 0.034 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00194903 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__29.123_32.718__000013 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 29.123 | 32.718 | 3.594 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04556859 | 143.746137 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__35.367_36.903__000014 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 35.367 | 36.903 | 1.536 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11377881 | 211.708640 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.354_38.405__000015 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.354 | 38.405 | 0.051 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00384756 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.911_45.425__000016 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.911 | 45.425 | 6.514 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06293251 | 137.944049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__40.193_40.936__000017 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 40.193 | 40.936 | 0.742 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.13592906 | 156.415997 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__45.627_48.040__000018 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 45.627 | 48.04 | 2.413 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05594229 | 161.496273 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__45.779_46.133__000019 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 45.779 | 46.133 | 0.354 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06075990 | 154.587695 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__49.593_54.487__000020 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 49.593 | 54.487 | 4.894 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05677043 | 129.793354 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.250_54.470__000021 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.25 | 54.47 | 0.219 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06108660 | 140.856160 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.487_54.773__000022 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.487 | 54.773 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05895352 | 138.758865 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__54.959_56.714__000023 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 54.959 | 56.714 | 1.755 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05213411 | 137.820678 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__56.849_57.220__000024 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 56.849 | 57.22 | 0.371 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05158553 | 164.384858 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__58.925_63.886__000025 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 58.925 | 63.886 | 4.961 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04586577 | 127.484054 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| ... 중간 57,569행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | |||||||||||||||||||
| 09__350002022300998__SPEAKER_00__4.351_7.034__057595 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 4.351 | 7.034 | 2.683 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05947952 | 177.129636 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__5.954_6.022__057596 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 5.954 | 6.022 | 0.068 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00610556 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__6.680_6.933__057597 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 6.68 | 6.933 | 0.253 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07927645 | 167.599624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__7.810_10.257__057598 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 7.81 | 10.257 | 2.447 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03669750 | 172.815121 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__10.882_12.299__057599 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 10.882 | 12.299 | 1.418 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02106520 | 172.753561 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__13.109_13.970__057600 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 13.109 | 13.97 | 0.861 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05715729 | 287.817050 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__13.970_15.286__057601 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 13.97 | 15.286 | 1.316 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06276976 | 179.195155 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__15.657_16.298__057602 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 15.657 | 16.298 | 0.641 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05317324 | 224.925860 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__15.961_23.723__057603 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 15.961 | 23.723 | 7.762 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05872604 | 194.641237 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__23.723_24.415__057604 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 23.723 | 24.415 | 0.692 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.01880802 | 167.168043 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__32.920_41.155__057605 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 32.92 | 41.155 | 8.235 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09712750 | 220.731528 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__42.978_43.113__057606 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 42.978 | 43.113 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00346261 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__43.366_44.767__057607 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 43.366 | 44.767 | 1.401 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09667852 | 273.622648 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__0.773_1.195__057608 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 0.773 | 1.195 | 0.422 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11174220 | 183.448361 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__1.432_5.448__057609 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 1.432 | 5.448 | 4.016 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07137586 | 173.691773 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__5.988_6.292__057610 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 5.988 | 6.292 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03353125 | 107.397692 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__6.612_16.231__057611 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 6.612 | 16.231 | 9.619 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.08224404 | 163.989266 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__16.552_20.888__057612 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 16.552 | 20.888 | 4.337 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07872391 | 178.774233 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__20.365_20.635__057613 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 20.365 | 20.635 | 0.27 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09700250 | 184.390913 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__21.209_24.027__057614 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 21.209 | 24.027 | 2.818 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07736503 | 163.670814 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__24.027_24.837__057615 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 24.027 | 24.837 | 0.81 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07804845 | 175.982792 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__25.225_31.165__057616 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 25.225 | 31.165 | 5.94 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07197413 | 158.798049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__27.470_28.145__057617 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 27.47 | 28.145 | 0.675 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09538542 | 174.212847 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__31.756_32.887__057618 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 31.756 | 32.887 | 1.131 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02995122 | 134.928754 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__32.887_34.405__057619 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 32.887 | 34.405 | 1.519 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06122714 | 153.440908 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY |
산출물 CSV: research_continuity/27_segment_feature_stress_merge_v203/segment_level_features_stress_merged_v205.csv (행 57,619, 열 20)
대용량 표 요약·앞/뒤 표본 포함, 원본은 데이터 ZIP 수록
| segment_id | audio_name | audio_path | exists | speaker | start_sec | end_sec | duration_sec | sample_rate | channels | probe_status | decode_status | text | word_count | energy_mean | pitch_mean | wpm | stress_score | stress_formula_status | merge_status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 00__350002022300000__SPEAKER_00__0.031_3.119__000001 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 0.031 | 3.119 | 3.088 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05476243 | 224.507624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__4.267_7.439__000002 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 4.267 | 7.439 | 3.172 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05717194 | 136.178324 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__4.283_4.570__000003 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 4.283 | 4.57 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07147063 | 142.300568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__5.768_6.832__000004 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 5.768 | 6.832 | 1.063 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05953735 | 174.046484 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__7.760_10.679__000005 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 7.76 | 10.679 | 2.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04357441 | 128.625750 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__10.679_10.797__000006 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 10.679 | 10.797 | 0.118 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06676706 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__10.797_10.932__000007 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 10.797 | 10.932 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03883868 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__12.164_19.471__000008 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 12.164 | 19.471 | 7.307 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05996937 | 143.216607 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__19.690_19.977__000009 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 19.69 | 19.977 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07009622 | 184.422334 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__19.977_20.281__000010 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 19.977 | 20.281 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06258495 | 269.952568 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__21.817_28.735__000011 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 21.817 | 28.735 | 6.919 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04108795 | 132.140551 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__28.313_28.347__000012 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 28.313 | 28.347 | 0.034 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00194903 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__29.123_32.718__000013 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 29.123 | 32.718 | 3.594 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04556859 | 143.746137 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__35.367_36.903__000014 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 35.367 | 36.903 | 1.536 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11377881 | 211.708640 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.354_38.405__000015 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.354 | 38.405 | 0.051 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00384756 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__38.911_45.425__000016 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 38.911 | 45.425 | 6.514 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06293251 | 137.944049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__40.193_40.936__000017 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 40.193 | 40.936 | 0.742 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.13592906 | 156.415997 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__45.627_48.040__000018 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 45.627 | 48.04 | 2.413 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05594229 | 161.496273 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__45.779_46.133__000019 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 45.779 | 46.133 | 0.354 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06075990 | 154.587695 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__49.593_54.487__000020 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 49.593 | 54.487 | 4.894 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05677043 | 129.793354 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.250_54.470__000021 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.25 | 54.47 | 0.219 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06108660 | 140.856160 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_00__54.487_54.773__000022 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_00 | 54.487 | 54.773 | 0.287 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05895352 | 138.758865 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__54.959_56.714__000023 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 54.959 | 56.714 | 1.755 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05213411 | 137.820678 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__56.849_57.220__000024 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 56.849 | 57.22 | 0.371 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05158553 | 164.384858 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 00__350002022300000__SPEAKER_01__58.925_63.886__000025 | 00__350002022300000.wav | C:\jupyter_env\VOC_full\00__350002022300000.wav | True | SPEAKER_01 | 58.925 | 63.886 | 4.961 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.04586577 | 127.484054 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| ... 중간 57,569행은 전체 데이터 부록 ZIP에 원본으로 포함 ... | |||||||||||||||||||
| 09__350002022300998__SPEAKER_00__4.351_7.034__057595 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 4.351 | 7.034 | 2.683 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05947952 | 177.129636 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__5.954_6.022__057596 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 5.954 | 6.022 | 0.068 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00610556 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__6.680_6.933__057597 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 6.68 | 6.933 | 0.253 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07927645 | 167.599624 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__7.810_10.257__057598 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 7.81 | 10.257 | 2.447 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03669750 | 172.815121 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__10.882_12.299__057599 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 10.882 | 12.299 | 1.418 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02106520 | 172.753561 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__13.109_13.970__057600 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 13.109 | 13.97 | 0.861 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05715729 | 287.817050 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__13.970_15.286__057601 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 13.97 | 15.286 | 1.316 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06276976 | 179.195155 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__15.657_16.298__057602 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 15.657 | 16.298 | 0.641 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05317324 | 224.925860 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__15.961_23.723__057603 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 15.961 | 23.723 | 7.762 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.05872604 | 194.641237 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__23.723_24.415__057604 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 23.723 | 24.415 | 0.692 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.01880802 | 167.168043 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__32.920_41.155__057605 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 32.92 | 41.155 | 8.235 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09712750 | 220.731528 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_00__42.978_43.113__057606 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_00 | 42.978 | 43.113 | 0.135 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.00346261 | PENDING_FEATURE_MERGE | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300998__SPEAKER_01__43.366_44.767__057607 | 09__350002022300998.wav | C:\jupyter_env\VOC_full\09__350002022300998.wav | True | SPEAKER_01 | 43.366 | 44.767 | 1.401 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09667852 | 273.622648 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__0.773_1.195__057608 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 0.773 | 1.195 | 0.422 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.11174220 | 183.448361 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__1.432_5.448__057609 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 1.432 | 5.448 | 4.016 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07137586 | 173.691773 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__5.988_6.292__057610 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 5.988 | 6.292 | 0.304 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.03353125 | 107.397692 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__6.612_16.231__057611 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 6.612 | 16.231 | 9.619 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.08224404 | 163.989266 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__16.552_20.888__057612 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 16.552 | 20.888 | 4.337 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07872391 | 178.774233 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__20.365_20.635__057613 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 20.365 | 20.635 | 0.27 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09700250 | 184.390913 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__21.209_24.027__057614 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 21.209 | 24.027 | 2.818 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07736503 | 163.670814 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__24.027_24.837__057615 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 24.027 | 24.837 | 0.81 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07804845 | 175.982792 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__25.225_31.165__057616 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 25.225 | 31.165 | 5.94 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.07197413 | 158.798049 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__27.470_28.145__057617 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 27.47 | 28.145 | 0.675 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.09538542 | 174.212847 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_01__31.756_32.887__057618 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_01 | 31.756 | 32.887 | 1.131 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.02995122 | 134.928754 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY | ||
| 09__350002022300999__SPEAKER_00__32.887_34.405__057619 | 09__350002022300999.wav | C:\jupyter_env\VOC_full\09__350002022300999.wav | True | SPEAKER_00 | 32.887 | 34.405 | 1.519 | 8000 | 1 | OK_FFPROBE | OK_FFMPEG_DECODE | 0.06122714 | 153.440908 | PENDING_FEATURE_MERGE | PENDING_SEGMENT_LEVEL_STRESS_SCORE | PENDING_WPM_OR_FEATURES | PARTIAL_FEATURES_ENERGY_DURATION_READY |
결과 해석
11번의 acoustic feature 입력과 segment_id 병합은 완료됐지만, stress 분석 완료로 볼 수는 없다. 현재 완료 범위는 duration/energy/pitch 입력 생성까지이다.
한계 및 논문 반영 기준
stress_score 완료 0건을 숨기거나 임의 값으로 대체하지 않는다.