iVOD / 162631

Field Value
IVOD_ID 162631
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162631
日期 2025-06-18
會議資料.會議代碼 委員會-11-3-36-20
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第20次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 20
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第3會期司法及法制委員會第20次全體委員會議
影片種類 Clip
開始時間 2025-06-18T11:56:55+08:00
結束時間 2025-06-18T12:19:16+08:00
影片長度 00:22:21
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552a227844a3d9227d68086ae71f013336e0a48dd392130a67363fbee1faf659eafd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 11:56:55 - 12:19:16
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第20次全體委員會議(事由:邀請司法院副秘書長、法務部部長、衛生福利部部長、教育部部長、法務部矯正署署長、內政部警政署署長、勞動部、法務部廉政署率所屬相關單位列席就「青少年刑案嫌疑人於2024年創歷年新高,達4.7萬餘人次,現行少年輔導、矯正效能,包括校園霸凌處理機制、高關懷學生、安置輔導、保護管束、感化教育、職能訓練、更生系統、中介轉銜機制、追蹤輔導、逆境社工等,及《少年事件處理法》『行政輔導先行』施行迄今近兩年,相關制度之檢討與策進」進行專題報告,並備質詢。 【6月16日及18日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 4.82346875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 23.31846875
transcript.pyannote[1].end 24.04409375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 24.44909375
transcript.pyannote[2].end 28.38096875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 26.52471875
transcript.pyannote[3].end 28.34721875
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 29.52846875
transcript.pyannote[4].end 30.01784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 32.63346875
transcript.pyannote[5].end 33.49409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 33.93284375
transcript.pyannote[6].end 34.42221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 34.42221875
transcript.pyannote[7].end 35.99159375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 36.83534375
transcript.pyannote[8].end 43.34909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 44.17596875
transcript.pyannote[9].end 45.49221875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 46.43721875
transcript.pyannote[10].end 47.09534375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 47.82096875
transcript.pyannote[11].end 49.55909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 50.21721875
transcript.pyannote[12].end 57.01784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 58.16534375
transcript.pyannote[13].end 64.72971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 64.13909375
transcript.pyannote[14].end 68.29034375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 67.49721875
transcript.pyannote[15].end 87.74721875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 86.27909375
transcript.pyannote[16].end 88.25346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 89.13096875
transcript.pyannote[17].end 90.76784375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 91.22346875
transcript.pyannote[18].end 102.74909375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 92.57346875
transcript.pyannote[19].end 93.34971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 93.34971875
transcript.pyannote[20].end 93.45096875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 93.90659375
transcript.pyannote[21].end 94.24409375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 94.24409375
transcript.pyannote[22].end 94.96971875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 94.96971875
transcript.pyannote[23].end 95.59409375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 97.23096875
transcript.pyannote[24].end 97.28159375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 97.28159375
transcript.pyannote[25].end 100.42034375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 103.54221875
transcript.pyannote[26].end 112.48596875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 112.55346875
transcript.pyannote[27].end 119.25284375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 115.77659375
transcript.pyannote[28].end 121.02471875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 119.99534375
transcript.pyannote[29].end 121.00784375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 121.02471875
transcript.pyannote[30].end 121.56471875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 121.19346875
transcript.pyannote[31].end 125.00721875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 125.20971875
transcript.pyannote[32].end 129.98534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 127.99409375
transcript.pyannote[33].end 128.14596875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 129.51284375
transcript.pyannote[34].end 132.12846875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 132.12846875
transcript.pyannote[35].end 132.16221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 132.16221875
transcript.pyannote[36].end 132.24659375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 132.24659375
transcript.pyannote[37].end 132.93846875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 132.93846875
transcript.pyannote[38].end 132.98909375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 133.66409375
transcript.pyannote[39].end 138.77721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 134.06909375
transcript.pyannote[40].end 138.87846875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 139.46909375
transcript.pyannote[41].end 140.48159375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 139.63784375
transcript.pyannote[42].end 142.40534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 142.64159375
transcript.pyannote[43].end 151.72034375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 152.80034375
transcript.pyannote[44].end 157.99784375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 161.38971875
transcript.pyannote[45].end 161.81159375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 164.03909375
transcript.pyannote[46].end 169.47284375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 169.96221875
transcript.pyannote[47].end 172.93221875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 173.52284375
transcript.pyannote[48].end 174.80534375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 175.98659375
transcript.pyannote[49].end 177.50534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 177.94409375
transcript.pyannote[50].end 181.33596875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 181.72409375
transcript.pyannote[51].end 182.50034375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 183.51284375
transcript.pyannote[52].end 185.97659375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 187.42784375
transcript.pyannote[53].end 188.44034375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 189.52034375
transcript.pyannote[54].end 191.88284375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 191.64659375
transcript.pyannote[55].end 193.01346875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 193.38471875
transcript.pyannote[56].end 194.17784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 195.17346875
transcript.pyannote[57].end 196.84409375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 197.48534375
transcript.pyannote[58].end 198.14346875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 198.81846875
transcript.pyannote[59].end 200.43846875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 201.48471875
transcript.pyannote[60].end 204.82596875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 205.07909375
transcript.pyannote[61].end 210.29346875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 211.57596875
transcript.pyannote[62].end 226.17284375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 213.95534375
transcript.pyannote[63].end 213.98909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 213.98909375
transcript.pyannote[64].end 214.02284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 214.02284375
transcript.pyannote[65].end 214.54596875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 225.43034375
transcript.pyannote[66].end 229.10909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 229.66596875
transcript.pyannote[67].end 237.37784375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 237.63096875
transcript.pyannote[68].end 241.09034375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 241.25909375
transcript.pyannote[69].end 245.24159375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 246.69284375
transcript.pyannote[70].end 249.84846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 250.91159375
transcript.pyannote[71].end 253.86471875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 254.26971875
transcript.pyannote[72].end 257.45909375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 258.79221875
transcript.pyannote[73].end 261.57659375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 261.96471875
transcript.pyannote[74].end 265.69409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 265.96409375
transcript.pyannote[75].end 266.58846875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 267.48284375
transcript.pyannote[76].end 268.73159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 269.23784375
transcript.pyannote[77].end 270.08159375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 270.80721875
transcript.pyannote[78].end 271.70159375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 272.00534375
transcript.pyannote[79].end 272.03909375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 272.05596875
transcript.pyannote[80].end 273.32159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 273.60846875
transcript.pyannote[81].end 274.87409375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 275.26221875
transcript.pyannote[82].end 276.62909375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 277.86096875
transcript.pyannote[83].end 278.46846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 279.21096875
transcript.pyannote[84].end 279.75096875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 280.91534375
transcript.pyannote[85].end 282.02909375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 283.42971875
transcript.pyannote[86].end 287.09159375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 287.63159375
transcript.pyannote[87].end 294.68534375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 295.47846875
transcript.pyannote[88].end 298.80284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 298.92096875
transcript.pyannote[89].end 302.92034375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 304.74284375
transcript.pyannote[90].end 308.11784375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 307.98284375
transcript.pyannote[91].end 310.85159375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 309.23159375
transcript.pyannote[92].end 309.46784375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 310.29471875
transcript.pyannote[93].end 312.37034375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 312.82596875
transcript.pyannote[94].end 328.80659375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 328.80659375
transcript.pyannote[95].end 343.03221875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 339.70784375
transcript.pyannote[96].end 346.25534375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 346.55909375
transcript.pyannote[97].end 347.92596875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 346.84596875
transcript.pyannote[98].end 349.02284375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 348.75284375
transcript.pyannote[99].end 350.13659375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 350.30534375
transcript.pyannote[100].end 350.67659375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 350.67659375
transcript.pyannote[101].end 352.85346875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 352.98846875
transcript.pyannote[102].end 369.98159375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 369.98159375
transcript.pyannote[103].end 371.01096875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 370.21784375
transcript.pyannote[104].end 373.08659375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 372.07409375
transcript.pyannote[105].end 373.94721875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 373.50846875
transcript.pyannote[106].end 376.91721875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 375.83721875
transcript.pyannote[107].end 380.54534375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 380.22471875
transcript.pyannote[108].end 386.33346875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 386.33346875
transcript.pyannote[109].end 390.58596875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 388.07159375
transcript.pyannote[110].end 392.02034375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 392.02034375
transcript.pyannote[111].end 392.08784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 392.08784375
transcript.pyannote[112].end 393.74159375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 392.25659375
transcript.pyannote[113].end 399.91784375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 400.44096875
transcript.pyannote[114].end 405.95909375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 405.95909375
transcript.pyannote[115].end 413.08034375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 405.99284375
transcript.pyannote[116].end 406.22909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 406.22909375
transcript.pyannote[117].end 406.26284375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 406.26284375
transcript.pyannote[118].end 406.27971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 406.27971875
transcript.pyannote[119].end 406.93784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 406.93784375
transcript.pyannote[120].end 406.98846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 406.98846875
transcript.pyannote[121].end 407.00534375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 407.00534375
transcript.pyannote[122].end 407.03909375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 407.03909375
transcript.pyannote[123].end 407.05596875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 407.05596875
transcript.pyannote[124].end 407.08971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 407.08971875
transcript.pyannote[125].end 407.17409375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 407.17409375
transcript.pyannote[126].end 407.22471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 413.13096875
transcript.pyannote[127].end 413.50221875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 413.63721875
transcript.pyannote[128].end 415.81409375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 415.94909375
transcript.pyannote[129].end 415.96596875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 415.96596875
transcript.pyannote[130].end 416.16846875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 416.16846875
transcript.pyannote[131].end 421.50096875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 416.20221875
transcript.pyannote[132].end 416.25284375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 419.89784375
transcript.pyannote[133].end 434.30909375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 426.19221875
transcript.pyannote[134].end 427.18784375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 434.39346875
transcript.pyannote[135].end 435.55784375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 435.70971875
transcript.pyannote[136].end 436.51971875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 437.39721875
transcript.pyannote[137].end 438.94971875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 438.94971875
transcript.pyannote[138].end 450.08721875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 438.98346875
transcript.pyannote[139].end 439.64159375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 449.73284375
transcript.pyannote[140].end 451.57221875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 453.54659375
transcript.pyannote[141].end 454.52534375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 454.72784375
transcript.pyannote[142].end 455.84159375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 456.26346875
transcript.pyannote[143].end 463.24971875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 459.52034375
transcript.pyannote[144].end 459.57096875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 459.57096875
transcript.pyannote[145].end 466.82721875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 465.20721875
transcript.pyannote[146].end 466.23659375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 466.82721875
transcript.pyannote[147].end 468.31221875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 468.32909375
transcript.pyannote[148].end 468.91971875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 469.69596875
transcript.pyannote[149].end 471.40034375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 472.48034375
transcript.pyannote[150].end 484.22534375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 484.22534375
transcript.pyannote[151].end 484.29284375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 484.47846875
transcript.pyannote[152].end 485.89596875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 486.38534375
transcript.pyannote[153].end 489.55784375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 489.55784375
transcript.pyannote[154].end 494.67096875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 492.76409375
transcript.pyannote[155].end 496.08846875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 496.98284375
transcript.pyannote[156].end 517.46909375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 503.07471875
transcript.pyannote[157].end 503.14221875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 503.14221875
transcript.pyannote[158].end 503.83409375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 503.83409375
transcript.pyannote[159].end 504.08721875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 504.82971875
transcript.pyannote[160].end 504.84659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 504.84659375
transcript.pyannote[161].end 504.88034375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 504.88034375
transcript.pyannote[162].end 505.63971875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 511.10721875
transcript.pyannote[163].end 511.76534375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 518.07659375
transcript.pyannote[164].end 520.52346875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 518.73471875
transcript.pyannote[165].end 536.03159375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 528.45471875
transcript.pyannote[166].end 528.47159375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 528.47159375
transcript.pyannote[167].end 528.50534375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 528.53909375
transcript.pyannote[168].end 528.57284375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 528.57284375
transcript.pyannote[169].end 528.65721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 536.03159375
transcript.pyannote[170].end 548.33346875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 541.09409375
transcript.pyannote[171].end 543.62534375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 545.71784375
transcript.pyannote[172].end 553.12596875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 548.95784375
transcript.pyannote[173].end 550.51034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 551.80971875
transcript.pyannote[174].end 556.68659375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 557.71596875
transcript.pyannote[175].end 559.99409375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 560.63534375
transcript.pyannote[176].end 563.36909375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 564.60096875
transcript.pyannote[177].end 571.13159375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 571.80659375
transcript.pyannote[178].end 575.29971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 576.31221875
transcript.pyannote[179].end 578.59034375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 578.96159375
transcript.pyannote[180].end 582.67409375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 583.90596875
transcript.pyannote[181].end 588.19221875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 588.66471875
transcript.pyannote[182].end 593.69346875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 593.89596875
transcript.pyannote[183].end 593.92971875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 593.94659375
transcript.pyannote[184].end 599.44784375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 599.41409375
transcript.pyannote[185].end 599.43096875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 599.44784375
transcript.pyannote[186].end 603.86909375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 599.48159375
transcript.pyannote[187].end 600.51096875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 603.70034375
transcript.pyannote[188].end 604.03784375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 604.12221875
transcript.pyannote[189].end 605.53971875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 605.35409375
transcript.pyannote[190].end 607.04159375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 606.85596875
transcript.pyannote[191].end 610.39971875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 611.20971875
transcript.pyannote[192].end 612.71159375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 612.17159375
transcript.pyannote[193].end 614.14596875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 614.19659375
transcript.pyannote[194].end 619.68096875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 620.35596875
transcript.pyannote[195].end 623.42721875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 624.01784375
transcript.pyannote[196].end 624.84471875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 625.84034375
transcript.pyannote[197].end 627.05534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 628.18596875
transcript.pyannote[198].end 631.15596875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 631.15596875
transcript.pyannote[199].end 636.45471875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 631.42596875
transcript.pyannote[200].end 632.25284375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 632.72534375
transcript.pyannote[201].end 633.83909375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 636.45471875
transcript.pyannote[202].end 643.47471875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 636.62346875
transcript.pyannote[203].end 639.42471875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 643.62659375
transcript.pyannote[204].end 644.53784375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 645.41534375
transcript.pyannote[205].end 647.03534375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 647.57534375
transcript.pyannote[206].end 649.41471875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 650.17409375
transcript.pyannote[207].end 652.51971875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 652.97534375
transcript.pyannote[208].end 653.80221875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 655.48971875
transcript.pyannote[209].end 665.39534375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 665.71596875
transcript.pyannote[210].end 667.40346875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 668.16284375
transcript.pyannote[211].end 674.74409375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 675.63846875
transcript.pyannote[212].end 678.67596875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 679.09784375
transcript.pyannote[213].end 683.89034375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 685.61159375
transcript.pyannote[214].end 690.47159375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 691.16346875
transcript.pyannote[215].end 693.88034375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 694.30221875
transcript.pyannote[216].end 696.12471875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 696.54659375
transcript.pyannote[217].end 697.44096875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 698.26784375
transcript.pyannote[218].end 699.75284375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 700.03971875
transcript.pyannote[219].end 700.56284375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 700.86659375
transcript.pyannote[220].end 701.92971875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 702.79034375
transcript.pyannote[221].end 704.34284375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 705.06846875
transcript.pyannote[222].end 706.95846875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 707.41409375
transcript.pyannote[223].end 710.62034375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 710.89034375
transcript.pyannote[224].end 717.23534375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 717.40409375
transcript.pyannote[225].end 719.41221875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 720.91409375
transcript.pyannote[226].end 723.42846875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 724.42409375
transcript.pyannote[227].end 725.28471875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 725.65596875
transcript.pyannote[228].end 737.63721875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 737.95784375
transcript.pyannote[229].end 740.10096875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 740.64096875
transcript.pyannote[230].end 755.82846875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 753.06096875
transcript.pyannote[231].end 758.34284375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 755.82846875
transcript.pyannote[232].end 755.87909375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 758.61284375
transcript.pyannote[233].end 762.20721875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 762.81471875
transcript.pyannote[234].end 769.80096875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 771.25221875
transcript.pyannote[235].end 773.20971875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 773.91846875
transcript.pyannote[236].end 776.07846875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 776.55096875
transcript.pyannote[237].end 786.11909375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 777.83346875
transcript.pyannote[238].end 784.21221875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 786.76034375
transcript.pyannote[239].end 787.85721875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 788.93721875
transcript.pyannote[240].end 792.34596875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 792.80159375
transcript.pyannote[241].end 799.95659375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 796.19346875
transcript.pyannote[242].end 806.57159375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 806.72346875
transcript.pyannote[243].end 822.68721875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 807.07784375
transcript.pyannote[244].end 807.44909375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 807.44909375
transcript.pyannote[245].end 807.46596875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 807.46596875
transcript.pyannote[246].end 807.48284375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 807.48284375
transcript.pyannote[247].end 807.97221875
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 807.97221875
transcript.pyannote[248].end 808.47846875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 808.61346875
transcript.pyannote[249].end 809.81159375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 811.54971875
transcript.pyannote[250].end 815.02596875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 815.02596875
transcript.pyannote[251].end 822.46784375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 823.53096875
transcript.pyannote[252].end 824.03721875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 824.35784375
transcript.pyannote[253].end 831.31034375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 827.12534375
transcript.pyannote[254].end 828.94784375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 831.31034375
transcript.pyannote[255].end 836.37284375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 836.59221875
transcript.pyannote[256].end 836.60909375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 836.60909375
transcript.pyannote[257].end 836.62596875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 836.62596875
transcript.pyannote[258].end 836.67659375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 836.67659375
transcript.pyannote[259].end 836.86221875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 836.86221875
transcript.pyannote[260].end 836.89596875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 838.31346875
transcript.pyannote[261].end 840.23721875
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 840.54096875
transcript.pyannote[262].end 843.42659375
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 842.81909375
transcript.pyannote[263].end 846.34596875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 845.51909375
transcript.pyannote[264].end 850.02471875
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 849.36659375
transcript.pyannote[265].end 852.84284375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 852.84284375
transcript.pyannote[266].end 857.66909375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 859.42409375
transcript.pyannote[267].end 863.13659375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 864.30096875
transcript.pyannote[268].end 866.15721875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 866.62971875
transcript.pyannote[269].end 871.32096875
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 871.47284375
transcript.pyannote[270].end 873.78471875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 874.29096875
transcript.pyannote[271].end 876.63659375
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 877.17659375
transcript.pyannote[272].end 879.42096875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 877.29471875
transcript.pyannote[273].end 877.95284375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 879.13409375
transcript.pyannote[274].end 881.76659375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 882.74534375
transcript.pyannote[275].end 886.01909375
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 887.14971875
transcript.pyannote[276].end 889.34346875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 890.86221875
transcript.pyannote[277].end 893.61284375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 894.59159375
transcript.pyannote[278].end 895.68846875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 896.63346875
transcript.pyannote[279].end 898.75971875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 899.50221875
transcript.pyannote[280].end 901.71284375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 902.70846875
transcript.pyannote[281].end 908.17596875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 908.74971875
transcript.pyannote[282].end 917.86221875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 919.02659375
transcript.pyannote[283].end 919.92096875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 920.32596875
transcript.pyannote[284].end 922.78971875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 923.53221875
transcript.pyannote[285].end 925.52346875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 925.74284375
transcript.pyannote[286].end 927.63284375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 928.49346875
transcript.pyannote[287].end 929.35409375
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 930.04596875
transcript.pyannote[288].end 931.36221875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 932.76284375
transcript.pyannote[289].end 935.42909375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 935.73284375
transcript.pyannote[290].end 937.11659375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 937.60596875
transcript.pyannote[291].end 944.18721875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 944.54159375
transcript.pyannote[292].end 946.46534375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 947.02221875
transcript.pyannote[293].end 951.98346875
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 952.64159375
transcript.pyannote[294].end 953.77221875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 954.78471875
transcript.pyannote[295].end 956.32034375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 956.87721875
transcript.pyannote[296].end 958.69971875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 959.03721875
transcript.pyannote[297].end 963.34034375
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 963.61034375
transcript.pyannote[298].end 964.25159375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 964.99409375
transcript.pyannote[299].end 967.69409375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 968.38596875
transcript.pyannote[300].end 970.88346875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 972.48659375
transcript.pyannote[301].end 973.51596875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 974.44409375
transcript.pyannote[302].end 977.46471875
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 980.36721875
transcript.pyannote[303].end 982.59471875
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 983.15159375
transcript.pyannote[304].end 986.37471875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 986.76284375
transcript.pyannote[305].end 989.61471875
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 989.93534375
transcript.pyannote[306].end 991.03221875
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 992.17971875
transcript.pyannote[307].end 992.71971875
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 993.78284375
transcript.pyannote[308].end 996.02721875
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 997.30971875
transcript.pyannote[309].end 998.01846875
transcript.pyannote[310].speaker SPEAKER_02
transcript.pyannote[310].start 998.55846875
transcript.pyannote[310].end 1000.56659375
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 1001.46096875
transcript.pyannote[311].end 1002.57471875
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 1002.99659375
transcript.pyannote[312].end 1006.16909375
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 1006.99596875
transcript.pyannote[313].end 1018.58909375
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 1019.04471875
transcript.pyannote[314].end 1025.57534375
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 1029.55784375
transcript.pyannote[315].end 1031.27909375
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 1032.15659375
transcript.pyannote[316].end 1034.55284375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 1035.05909375
transcript.pyannote[317].end 1036.05471875
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 1036.84784375
transcript.pyannote[318].end 1037.69159375
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 1039.15971875
transcript.pyannote[319].end 1043.49659375
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 1043.96909375
transcript.pyannote[320].end 1045.50471875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 1045.94346875
transcript.pyannote[321].end 1053.92534375
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 1055.47784375
transcript.pyannote[322].end 1055.86596875
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 1057.18221875
transcript.pyannote[323].end 1058.49846875
transcript.pyannote[324].speaker SPEAKER_02
transcript.pyannote[324].start 1058.92034375
transcript.pyannote[324].end 1062.05909375
transcript.pyannote[325].speaker SPEAKER_02
transcript.pyannote[325].start 1062.41346875
transcript.pyannote[325].end 1064.94471875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 1065.50159375
transcript.pyannote[326].end 1066.73346875
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 1067.62784375
transcript.pyannote[327].end 1068.69096875
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 1069.18034375
transcript.pyannote[328].end 1069.92284375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 1071.00284375
transcript.pyannote[329].end 1074.49596875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 1075.99784375
transcript.pyannote[330].end 1078.19159375
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 1078.64721875
transcript.pyannote[331].end 1079.77784375
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 1080.89159375
transcript.pyannote[332].end 1081.88721875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 1084.38471875
transcript.pyannote[333].end 1086.56159375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 1088.45159375
transcript.pyannote[334].end 1089.36284375
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 1090.15596875
transcript.pyannote[335].end 1091.40471875
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 1091.82659375
transcript.pyannote[336].end 1093.15971875
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 1093.81784375
transcript.pyannote[337].end 1096.73721875
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 1098.10409375
transcript.pyannote[338].end 1102.13721875
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 1098.64409375
transcript.pyannote[339].end 1099.97721875
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 1102.67721875
transcript.pyannote[340].end 1107.38534375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 1107.55409375
transcript.pyannote[341].end 1111.70534375
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 1107.70596875
transcript.pyannote[342].end 1107.90846875
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 1111.77284375
transcript.pyannote[343].end 1146.31596875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 1147.07534375
transcript.pyannote[344].end 1188.75659375
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 1158.65159375
transcript.pyannote[345].end 1158.66846875
transcript.pyannote[346].speaker SPEAKER_01
transcript.pyannote[346].start 1158.70221875
transcript.pyannote[346].end 1158.80346875
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 1187.32221875
transcript.pyannote[347].end 1194.93284375
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 1195.48971875
transcript.pyannote[348].end 1208.28096875
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 1202.44221875
transcript.pyannote[349].end 1202.96534375
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 1202.96534375
transcript.pyannote[350].end 1203.37034375
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 1203.37034375
transcript.pyannote[351].end 1204.95659375
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 1209.09096875
transcript.pyannote[352].end 1230.45471875
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 1212.98909375
transcript.pyannote[353].end 1213.44471875
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 1231.02846875
transcript.pyannote[354].end 1234.25159375
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 1234.09971875
transcript.pyannote[355].end 1235.09534375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 1234.47096875
transcript.pyannote[356].end 1237.67721875
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 1238.08221875
transcript.pyannote[357].end 1252.88159375
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 1242.28409375
transcript.pyannote[358].end 1244.83221875
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 1254.07971875
transcript.pyannote[359].end 1259.74971875
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 1255.42971875
transcript.pyannote[360].end 1256.76284375
transcript.pyannote[361].speaker SPEAKER_02
transcript.pyannote[361].start 1260.00284375
transcript.pyannote[361].end 1264.13721875
transcript.pyannote[362].speaker SPEAKER_00
transcript.pyannote[362].start 1264.35659375
transcript.pyannote[362].end 1265.36909375
transcript.pyannote[363].speaker SPEAKER_02
transcript.pyannote[363].start 1266.31409375
transcript.pyannote[363].end 1268.47409375
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 1266.66846875
transcript.pyannote[364].end 1272.47346875
transcript.pyannote[365].speaker SPEAKER_02
transcript.pyannote[365].start 1271.64659375
transcript.pyannote[365].end 1285.07909375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 1279.72971875
transcript.pyannote[366].end 1280.15159375
transcript.pyannote[367].speaker SPEAKER_04
transcript.pyannote[367].start 1283.69534375
transcript.pyannote[367].end 1284.85971875
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 1285.07909375
transcript.pyannote[368].end 1285.11284375
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 1285.83846875
transcript.pyannote[369].end 1294.74846875
transcript.pyannote[370].speaker SPEAKER_02
transcript.pyannote[370].start 1286.76659375
transcript.pyannote[370].end 1287.37409375
transcript.pyannote[371].speaker SPEAKER_02
transcript.pyannote[371].start 1288.25159375
transcript.pyannote[371].end 1288.99409375
transcript.pyannote[372].speaker SPEAKER_02
transcript.pyannote[372].start 1289.53409375
transcript.pyannote[372].end 1291.17096875
transcript.pyannote[373].speaker SPEAKER_02
transcript.pyannote[373].start 1291.42409375
transcript.pyannote[373].end 1291.87971875
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 1292.94284375
transcript.pyannote[374].end 1292.97659375
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 1292.97659375
transcript.pyannote[375].end 1293.01034375
transcript.pyannote[376].speaker SPEAKER_02
transcript.pyannote[376].start 1293.01034375
transcript.pyannote[376].end 1293.44909375
transcript.pyannote[377].speaker SPEAKER_04
transcript.pyannote[377].start 1295.06909375
transcript.pyannote[377].end 1309.42971875
transcript.pyannote[378].speaker SPEAKER_02
transcript.pyannote[378].start 1296.84096875
transcript.pyannote[378].end 1296.90846875
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 1297.65096875
transcript.pyannote[379].end 1298.78159375
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 1309.42971875
transcript.pyannote[380].end 1315.92659375
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 1313.02409375
transcript.pyannote[381].end 1317.85034375
transcript.pyannote[382].speaker SPEAKER_02
transcript.pyannote[382].start 1317.36096875
transcript.pyannote[382].end 1320.98909375
transcript.pyannote[383].speaker SPEAKER_04
transcript.pyannote[383].start 1317.86721875
transcript.pyannote[383].end 1317.96846875
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 1318.05284375
transcript.pyannote[384].end 1318.12034375
transcript.pyannote[385].speaker SPEAKER_04
transcript.pyannote[385].start 1318.74471875
transcript.pyannote[385].end 1319.01471875
transcript.pyannote[386].speaker SPEAKER_02
transcript.pyannote[386].start 1321.47846875
transcript.pyannote[386].end 1337.91471875
transcript.pyannote[387].speaker SPEAKER_04
transcript.pyannote[387].start 1322.60909375
transcript.pyannote[387].end 1322.96346875
transcript.pyannote[388].speaker SPEAKER_04
transcript.pyannote[388].start 1330.10159375
transcript.pyannote[388].end 1330.20284375
transcript.pyannote[389].speaker SPEAKER_04
transcript.pyannote[389].start 1330.60784375
transcript.pyannote[389].end 1331.40096875
transcript.pyannote[390].speaker SPEAKER_04
transcript.pyannote[390].start 1337.94846875
transcript.pyannote[390].end 1338.57284375
transcript.pyannote[391].speaker SPEAKER_04
transcript.pyannote[391].start 1339.02846875
transcript.pyannote[391].end 1341.96471875
transcript.whisperx[0].start 0.009
transcript.whisperx[0].end 1.37
transcript.whisperx[0].text 請法務部正部長還有司法院王滬密
transcript.whisperx[1].start 29.574
transcript.whisperx[1].end 55.682
transcript.whisperx[1].text 好 複密委員 午安午安 我先問鄭部長啦齁剛才你叫王宏威 王偉宏在爭執這個偵辦的事情我 我追問過你好幾次了當初中選會移送檢調辦的國民黨16件 民進黨15件啊民進黨現在到底國民黨這16件都大搜搜大搜押啊民進黨現在到底涉及這5件 15件辦了幾件
transcript.whisperx[2].start 58.749
transcript.whisperx[2].end 77.589
transcript.whisperx[2].text 這個中選會那個移送的這部分那是個體檢署就依法偵辦中啦可是都沒聽證喔你這樣賣肉炒起來我們會說你雙標啊你不清楚我法務部我法務部長只能管政策管法案管業務的推動至於那個個案的偵辦我是沒辦法去做介入的那
transcript.whisperx[3].start 78.129
transcript.whisperx[3].end 87.678
transcript.whisperx[3].text 那這部份我想我要尊重那個檢察機關他那個偵查計畫策略的問題那這部份我們也不要去干涉維護給檢察機關不定不定這不是個案吧15個案你到現在你到底辦幾個我們是要辦兩件事 辦兩件事是不是國民黨這邊一個天一個地你不覺得這個落差太大這個沒有雙標沒有讓人家覺得碰到民進黨就轉彎嗎
transcript.whisperx[4].start 103.615
transcript.whisperx[4].end 124.827
transcript.whisperx[4].text 你對人民要有個交代吧你是大家長 你應該去查一下你上次也在問你出了15個案到底是怎樣16個案 雷利風行搜索完人都押起來了這個是不是 葛委員可以給一個純正的報告我想你我都不願意去干涉兩個案件是怎麼進行 怎麼去弄嘛這不是干涉啊 保定你不覺得這個落差太大一般的人品對這個會不會覺得是雙標跟碰到明星很久的轉彎什麼叫雙標 這個我不贊同啦反正就是依照證據來扳他你落差太大了 你都要去了解一下你的司法 你看
transcript.whisperx[5].start 134.415
transcript.whisperx[5].end 157.947
transcript.whisperx[5].text 為什麼民調裡面來看一下那個民調換民調來看民調為什麼會出現政治利益政府有沒有選擇性辦案將近60%政治利益介入檢調辦案57.9%政治利益介入司法案件57.6%人民就是因為你們這樣的辦案方式嘛你要去搶救司法讓人民有信心啊好來
transcript.whisperx[6].start 164.079
transcript.whisperx[6].end 192.731
transcript.whisperx[6].text 我現在 人民現在都眼睜睜看你國民黨辦成這樣子民進黨這15個案你到底要怎麼辦要不要雙標 不要民進黨就轉彎來 我問你一個施改會啊施改會 來我們回到第一章施改會曾經列立風險啊去追過這個惡檢追緝惡檢伯蒂林當初應該不是被追緝的惡檢嘛 對不對沒有在裡面 對不對沒有被檢討 沒有被追緝嘛 對不對我不談我個人的事啦
transcript.whisperx[7].start 193.407
transcript.whisperx[7].end 209.905
transcript.whisperx[7].text 不談個人的事問題是你是大家長你有沒有包庇或者縱容二檢我不曉得這個我就是這個檢察機關在執行依法執行職務那整個一個我不曉得
transcript.whisperx[8].start 212.096
transcript.whisperx[8].end 223.507
transcript.whisperx[8].text 韋寧說的二檢的定義是什麼二檢喔 有啦有啦但是我會嚴格要求檢察官要依照檢察官倫理守則依法律的程序以執權來依法偵辦案件嚴重違反了檢察官的倫理啊
transcript.whisperx[9].start 229.753
transcript.whisperx[9].end 245.161
transcript.whisperx[9].text 指證歷歷呢 你還在問 來 看看咧你看這三位都是民進黨司改會大將 後來做民進黨這個大官游伯祥 現在他就是大官顧立雄 當了國安會秘書長之後現在還是國防部長喔林鋒正黨產會的主委 他們都指證歷歷啊游伯祥說什麼這個二檢啊 亂錢亂數他說起訴人家死罪 都沒有證據
transcript.whisperx[10].start 258.957
transcript.whisperx[10].end 281.853
transcript.whisperx[10].text 結果還堅持上訴到底顧立雄說什麼明明是沒有偷東西沒有東西被偷你還用起訴他竊盜罪林鳳正怎麼說他說叫招不到就起訴了啊法律都已經改了檢察官竟然還不知道法盲無知人家指證利利嘛
transcript.whisperx[11].start 283.439
transcript.whisperx[11].end 301.378
transcript.whisperx[11].text 那現在就是為什麼司法的這個滿意度這麼低有沒有去檢討有沒有去改革這個所以我剛才問你還有多少的這個惡檢你還說你不曉得定義這個就是清楚的定義啊報告這段時間為什麼有那麼多人在控訴你們典檢的檢察官不正的這個詢問這不用查嗎
transcript.whisperx[12].start 304.898
transcript.whisperx[12].end 321.096
transcript.whisperx[12].text 我這一段要正式的呈現什麼叫不正的一個詢問現在看起來顧立雄跟游伯祥跟林鋒正可以做成這樣可以用那個講我不要再提他這個所以對這整個我們檢查機關跟司法警察機關有錄音錄影資料保管辦法各級檢查機關詢問時的錄音得隨時抽查
transcript.whisperx[13].start 324.44
transcript.whisperx[13].end 349.761
transcript.whisperx[13].text 那這部分是我們隨時抽出來列入業務檢查這個項目所以你們做了要錄影錄音嘛結果你被人家質疑是有問題的光碟你連播放都不敢播放你的北檢到底出了什麼樣的問題來我們先看一下羅秉成怎麼說來來那個你看講說那個什麼不敢播放那是真的嗎我說的是在停柏定你在停上
transcript.whisperx[14].start 350.842
transcript.whisperx[14].end 376.694
transcript.whisperx[14].text 在柯文哲的庭上我們清清楚楚我們被捕的人說已經看過看見過光底他們看過光底之後發現邵秀佩被不當信問你們的林靜妍欸直接對著邵秀佩講你說以為什麼連政署那你去去這個連政署那一套就可以過關你在呼嚨我你給我試看看我沒有在呼嚨你這種問這種問法是不是像流氓我沒有在呼嚨你齁是不是像流氓在問案這不是一個不正新聞嗎這個你沒有在前面這之前說什麼檢察官像流氓齁沒有這回事啦齁
transcript.whisperx[15].start 380.276
transcript.whisperx[15].end 387.501
transcript.whisperx[15].text 你剛剛講的這個論法不像流氓嗎那你要自清你就要讓大家看這個你剛剛講的否定你剛剛不是說你都有錄影跟錄音那為什麼不敢讓人家看你們是做賊心機有問題嗎你可以請求個案評鑑嘛我們有做走制度嘛
transcript.whisperx[16].start 400.47
transcript.whisperx[16].end 420.73
transcript.whisperx[16].text 評鑑是一個嘛 第二個就公開 對不對在庭上我們要求公開 為什麼你如果做得正 你的信問沒有問題我跟你講喔 委員 做任何事情就要依法律啦不管在公佈的私本就要依法律啦都是要法尊啦 所以要走程序啦不是說沒有法律的依據就來這邊直接就這樣 像你委員講的那種方式嘛
transcript.whisperx[17].start 422.532
transcript.whisperx[17].end 433.877
transcript.whisperx[17].text 你說訊問的時候 檢官訊問的時候要錄音錄影嘛有錄音錄影嘛對不對 第二天被出現了我們的辯護人看了這個光碟覺得有問題 要求要在庭上公開這有什麼不對你們檢察官不知情在審理中在審理中可不可以公開這是法院的職權這法院的職權法官自會定奪 自會決定要不要在裡面公開的看驗這些偵訊的內容你們的檢察官可以在庭上
transcript.whisperx[18].start 453.493
transcript.whisperx[18].end 463.582
transcript.whisperx[18].text 不只沒有自清欸還阻擋這個你自己錄音錄影的光碟要公開而且還提那個最離譜的否定你們提那個最離譜的否定你們的檢察官提那個最離譜的他說基於訴訟經濟
transcript.whisperx[19].start 472.509
transcript.whisperx[19].end 494.189
transcript.whisperx[19].text 所以可以不要公開嗎所以那個氣到柯文哲說你把他關了九個多月了你讓人起供你現在連一個真信的光碟正大光明沒問題為什麼不敢不敢公開這是審理所的個案這個可不可以公開是不是公開法官自然會決定你們的檢察官對自己的清白一點信心都沒有你是不認真信任怕什麼我今天台號捍衛我們檢察官的清白
transcript.whisperx[20].start 497.025
transcript.whisperx[20].end 513.055
transcript.whisperx[20].text 你要捍衛你要公開啊 你怎麼去捍衛你這不是做賊心虛嗎 意外迷章嗎公開審判不就是法院就是我們病友嗎你剛才說你們有錄音跟錄影 結果你竟然不公開這怎麼有辦法自清呢這個是法院的直接決定喔你跟現在講的不是法官 你講的是監察官你們監察官不敢公開 還講說什麼推送什麼訴訟經濟
transcript.whisperx[21].start 522.142
transcript.whisperx[21].end 539.359
transcript.whisperx[21].text 如果法官有接受檢察官的訴訟資料指向他決定不公開的話那就是支持檢察官嘛那如果說要公開我們也尊重法院的決定嘛所以我們不要去干涉法院的決定我們有建議的權我們建議說不要公開沒有干涉法院法官會最後才定要不要勘驗嘛我會說你檢察官到底出什麼事
transcript.whisperx[22].start 541.181
transcript.whisperx[22].end 548.187
transcript.whisperx[22].text 沒有沒有啦 你講太多了啦你沒有不正訊問不正 你如果沒有不正訊問你到底在怕什麼 你是作賊心虛嗎來來好好好要公開新聞光底來 那我們就講通案來羅秉成怎麼說羅秉成當過政務委員也坐過民進黨行政院的發言人他要說什麼
transcript.whisperx[23].start 564.673
transcript.whisperx[23].end 582.473
transcript.whisperx[23].text 如果公開真性光碟的目的是在揭發執法人員的濫權行為例如說有檢察官當庭用三字經濟辱罵當事人這個真性光碟公開播放他說基於意志權利的濫用這是一個公義的目的
transcript.whisperx[24].start 583.973
transcript.whisperx[24].end 608.255
transcript.whisperx[24].text 禁止將這個見不得人的真性光碟公開到底是在保護個人的隱私檢查還是在掩護違法濫權的公務員檢察官這個不就是這次北檢犯柯文哲案裡面的一個最好的寫照嗎你不要用這個用不當的原因我再求證不要用不當的原因那個事實是羅秉成講的一個非常好羅政委他個人的意見
transcript.whisperx[25].start 611.277
transcript.whisperx[25].end 626.497
transcript.whisperx[25].text 每個人的看法都不一樣當了民進黨大官當然是可以討論嘛但是我說實在的你不要拿這些來用在個案的這個自然現在審理所有個案法院自然就會決定要不要公開所以我現在在跟你討論
transcript.whisperx[26].start 628.226
transcript.whisperx[26].end 637.328
transcript.whisperx[26].text 真信光迭要不要公開這個事情來 聽聽大法官 尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說尤柏祥跟他說
transcript.whisperx[27].start 655.783
transcript.whisperx[27].end 682.864
transcript.whisperx[27].text 國家跟受信者之間的實力比例是絕對的懸殊程度你檢測官家這邊的掃秀費還有所有的這個被告人家新聞的過程這個過程裡面是絕對懸殊的這個程度針對這種新聞事宗所發生的不法這個情勢公眾本來就有知的權利沒有人希望真信室或者偵查庭變成弱肉強食的侏羅紀公園
transcript.whisperx[28].start 685.652
transcript.whisperx[28].end 703.871
transcript.whisperx[28].text 真信前程本來就像你說的有錄影有錄音本來就必要時候要跟公眾播放正是為了使真信的實務得以從侏羅紀進化吧人當成是人還有林峰正 林峰正剛剛講
transcript.whisperx[29].start 705.574
transcript.whisperx[29].end 714.56
transcript.whisperx[29].text 直接召開記者會喔 直接播放 台北地檢署那時候檢察官林冠佑檢察官 承辦的100年 曾志5511號偵查挺實話的這個錄音檔這個追緝 當場追緝這個二檢
transcript.whisperx[30].start 724.482
transcript.whisperx[30].end 739.605
transcript.whisperx[30].text 林鋒正跟他講 法務部應該要正式不釋任法官跟檢察官這個問題拿出滿足人民期待的檢察官評鑑制度讓不肖的檢察官得以被制度淘汰改善我們司法的這個品質
transcript.whisperx[31].start 740.68
transcript.whisperx[31].end 768.959
transcript.whisperx[31].text 委員那個2012年齁跟現在或今後司改國是會他寫2025年很多的制度都建立了啦包括個案評鑑法官法官都建立了啦有些制度你不要去談那個歷史啦所以我答應一位一位北檢我北檢進去旁聽我越聽心內經啦越怕你們現在的檢察官我知道多數的檢察官是好的可是在我聽了幾個庭你們現在這個檢察官的素質真的有比當初林鋒正跟羅秉貞改革那些二檢來得好嗎
transcript.whisperx[32].start 771.551
transcript.whisperx[32].end 787.561
transcript.whisperx[32].text 這個民調我剛剛已經給你看一次了以前的司法是被信任的多數的司法 多數的法官 多數的檢察官是被信任的最近不只二十五萬人上街二十五萬人上街去抗議司法迫害民調這麼清楚
transcript.whisperx[33].start 789.073
transcript.whisperx[33].end 806.101
transcript.whisperx[33].text 結果都將近六成的人認為政治已經介入到檢調了你不好去改革你還連最基本的政治介入連最基本的我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式的介入啦我們是反對任何形式
transcript.whisperx[34].start 806.781
transcript.whisperx[34].end 820.345
transcript.whisperx[34].text 包括你我啦講的是你們依法 依法受的錄影被質疑的時候要不要公開的問題你們之前有那麼多司改會的人員那麼多民進黨大官要求要做改革你為什麼不改呢法定你到底站的是改革跟反改革那一邊站的是二檢那一邊還是在掩護二檢你有問題要解決問題啊那我會想說如果說真的有二檢就像你說訂二檢你就請求個案評鑑嘛
transcript.whisperx[35].start 838.339
transcript.whisperx[35].end 862.888
transcript.whisperx[35].text 各案評鑑的同時剛剛那些良藥苦口你到底要不要去現在制度都建立了怎麼發生這麼多現在人民這麼多質疑呢你建立了什麼制度你搞不好要破壞制度我們守程序守法律嘛就依法嘛好來換那個抱歉那個主席方便再給我三分鐘好不好來請後面要解決人民對司法的沒有信心喪失信心
transcript.whisperx[36].start 865.069
transcript.whisperx[36].end 879.552
transcript.whisperx[36].text 讓你們依法錄音跟錄影的光碟讓人民可以檢視 公開這是一鐵良藥這是挽救你們的聲望 養救你的形象另外一鐵藥也很重要啊法庭直播這幾天有一個非常關鍵的人出來講話媽媽嘴的受害人媽媽嘴的老闆 李炳宏
transcript.whisperx[37].start 894.699
transcript.whisperx[37].end 916.854
transcript.whisperx[37].text 他說 董初如果有法庭直播那時候法庭就不會變成黑箱了那時候是媒體審判北檢把消息漏給了媒體連高永成監察委員後來做調查都發現這個案子有偵查不公開媒體審判的這個事情現在媽媽嘴的這個老闆
transcript.whisperx[38].start 919.096
transcript.whisperx[38].end 931.155
transcript.whisperx[38].text 出來喊冤他說應該要有法庭直播他說當初身為一個被告我真的沒有任何武器可以對抗他開庭的時候啊
transcript.whisperx[39].start 932.799
transcript.whisperx[39].end 953.321
transcript.whisperx[39].text 我才知道我真正要被羈押的理由是什麼這是第一類 第二類他說明明當庭的時候檢察官提出來的證據一一都被反駁被打臉了可是因為沒有公開外界到現在很多都還不知道啊你看一個人受到冤屈因為沒有公開到現在他都在喊冤第三個更離譜的
transcript.whisperx[40].start 954.804
transcript.whisperx[40].end 977.194
transcript.whisperx[40].text 他後來被釋放了因為檢察官說他案發的時候有他的車子他後來說車子印證不是他的他被當庭釋放結果檢察官出來怎麼講檢察官說我對不起死者沒有把他押起來法官都給他清白了檢察官還倒打他一把
transcript.whisperx[41].start 980.413
transcript.whisperx[41].end 1005.788
transcript.whisperx[41].text 所以他說對於檢察官檢察官面對媒體的表演事實上他根本是沒辦法對抗所以像試過那麼多年他多大的冤屈他還出來喊冤第二個你們一直在講說會不會有華眾其寵我給大家看一下美國最高法院的法官啊都公開出來講明尼斯達州最高法院的法官他怎麼說
transcript.whisperx[42].start 1007.025
transcript.whisperx[42].end 1024.625
transcript.whisperx[42].text 他沒有看到任何跟直播有的時候或者是法庭公開的時候有滑頌起損的這個例子另外喬治亞州的一個法官Steven一直在講在他那個州啊從有直播開始從來沒有出現法官或者律師的不當行為
transcript.whisperx[43].start 1029.774
transcript.whisperx[43].end 1053.343
transcript.whisperx[43].text 鄭文榮啊 前幾天在這個庭鄭文榮是綠色的耶挺扁的耶他講什麼他說現在很多人反對法庭直播是什麼就是因為是黃國昌提出來就變成問題了還有為什麼20個法律團體出來聲明他說現在法律人的一些團體跟法律台灣的法律是不是跟社會已經脫節了我最後要講的是負面
transcript.whisperx[44].start 1057.219
transcript.whisperx[44].end 1081.877
transcript.whisperx[44].text 無私謠無造謠在這個地方說只有中國大陸北韓這種專制的國家才有直播結果一堆民眾每一個每個幫忙找你看這東西我們國家比印度比印尼比南非還落後嗎全球七大洲除了南極之外六大洲都有都有法庭直播所以你們為什麼要擋呢而且是2017年
transcript.whisperx[45].start 1088.496
transcript.whisperx[45].end 1101.734
transcript.whisperx[45].text 做了結論啊能不能跟上一個時代不要再在反改革那一面特別是我剛剛講的人民對司法的信任度越來越低真信的光碟要公開第二個法庭直播趕快推動你講
transcript.whisperx[46].start 1102.711
transcript.whisperx[46].end 1126.524
transcript.whisperx[46].text 委員我非常不能夠同意說那個法庭直播就是一個先進我覺得這個完全不是一個價值的一個就是那個二分法那就是說你要引用其他國家的話我們應該去全面去看如果你如果按你這樣標準的話我們來問說那台灣有沒有那個實施法庭直播我們憲法法庭也有啊那但是不能從這個地方我們就去說那我們的事實審要開放
transcript.whisperx[47].start 1127.705
transcript.whisperx[47].end 1146.027
transcript.whisperx[47].text 就像大家去談美國可是美國的聯邦層級的各級法院也通通都不允許了那你在這邊你要談那個英國英國他們也只有開放那個上訴審啊那即使說是那個你要再講事實的話你要再講更精緻那個講的話他們那個皇家那個刑事法院也只有在
transcript.whisperx[48].start 1147.148
transcript.whisperx[48].end 1167.407
transcript.whisperx[48].text 法官對大家說明說我這個量刑理由所以也只能到這個地方但是事實審這完全都不行的啊那所以我覺得就是說你要引用其他國家我們一定要更精緻的就是說去談說他們允許的條件那當然就是每個人都可以有每個人的那個意見跟他的那個表達那個就是你剛引用的那個呂秉紅他的意見我們尊重
transcript.whisperx[49].start 1169.409
transcript.whisperx[49].end 1194.141
transcript.whisperx[49].text 但是一個人這樣子的意見就要立刻變成是我們國家的一個那個制度嗎?李炳宏甚至他只有進入偵查他完全沒有被起訴他個人完全沒有經歷過審理中那引他的話來主張說我們是審邀法庭直播我覺得這個論證對不對?媽媽嘴的李炳宏有非常大的代表性他是中華民國
transcript.whisperx[50].start 1195.543
transcript.whisperx[50].end 1208.014
transcript.whisperx[50].text 被檢察官偵查不公開 洩漏秘密而且造成媒體公審我以前在做 這是電視台啊有多少的媒體每天晚上都在報導他的新聞做他這個節目 他今天是被定罪的喔
transcript.whisperx[51].start 1209.127
transcript.whisperx[51].end 1229.148
transcript.whisperx[51].text 那時候他已經社會死亡耶他當然有潛力出來講這個事情啊這是一個點 第二點沒有沒有那個 蜂蜜你剛講沒有錯各個國家都有他的不一樣的我現在是跟你講很多的民眾現在都提出來說全世界絕大部分很多國家都已經有了嘛而且台灣民眾黨是非常的理性務實科學的我們用的是2017年
transcript.whisperx[52].start 1231.13
transcript.whisperx[52].end 1252.48
transcript.whisperx[52].text 司法國事會議 司改國事會議的結論我們高度的限縮只有重大的公益還有社會矚目的這個案件而且是由法官來決定的喔所以包括從經費沒有像民進黨造謠那麼多而且它是高度的緊縮的只有對社會有重大公益的重大的矚目的案子才有
transcript.whisperx[53].start 1254.127
transcript.whisperx[53].end 1264.825
transcript.whisperx[53].text 好不好 我們去落實你不要打臉你不要打臉 蔡英文你不要打臉當初2017年的司法改革啦趕快做 我們繼續找時間再來討論好不好 好不好OK 好 謝謝我以為我不能講囉
transcript.whisperx[54].start 1266.36
transcript.whisperx[54].end 1286.285
transcript.whisperx[54].text 我們等一下 那下次我們繼續好不好你發佈保證哪個檢 你不用管這個士林地檢是吧士林地檢 新北 北檢出問題的檢察官你都要處理啦 都要好好去你不要變成是 不是變成共犯在演你也是承辦法官嘛承辦檢察官你們都弄錯了 這一件
transcript.whisperx[55].start 1296.187
transcript.whisperx[55].end 1319.444
transcript.whisperx[55].text 不是 這件當 這樣 這樣喔 可是啦 我跟你講 大家不要亂講啦那個案子根本不是這樣 那個案子是前面有一個檢察官辦了出問題之後 我們進去救援就現在社會上面亂講一通所以當初那個 你們接手之前那個檢察官有沒有好好的 這樣真相可以呈現這件跟北檢也無關啦北檢啦 我在問話不普通 怎麼會問北檢
transcript.whisperx[56].start 1321.705
transcript.whisperx[56].end 1341.603
transcript.whisperx[56].text 剛剛在談北檢啦柯文哲案子是北檢那剛剛這個案子不是啦沒有啦那個中憲你現在就是當初你是解鎖的現在我們在談前面出的問題嘛OK好啦那兩鐵要法庭直播訊問光底公開這個才是搶救我們的司法最重要兩鐵要好 謝謝那張委員這件我也是算是間接