iVOD / 163442

Field Value
IVOD_ID 163442
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163442
日期 2025-08-12
會議資料.會議代碼 院會-11-3-24
會議資料.會議代碼:str 第11屆第3會期第24次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 24
會議資料.種類 院會
會議資料.標題 第11屆第3會期第24次會議
影片種類 Clip
開始時間 2025-08-12T09:33:35+08:00
結束時間 2025-08-12T09:49:40+08:00
影片長度 00:16:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/affd0e2636d87bdf368e0103faece087a8bba6e65b10b0a548a1f95477ba6fc4e3908d7ab787057b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 傅崐萁
委員發言時間 09:33:35 - 09:49:40
會議時間 2025-08-12T09:00:00+08:00
會議名稱 第11屆第3會期第24次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長率同相關部會首長就『新世代打擊詐欺策略行動綱領2.0執行成效』進行專案報告並備質詢。」是否有當?請公決案等13案。(8月8日)二、邀請行政院院長率同相關部會首長列席,提出「丹娜絲颱風及七二八豪雨災後復原重建」專案報告並備質詢。(8月12日)三、8月8日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.95471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.03909375
transcript.pyannote[1].end 2.05596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 2.29221875
transcript.pyannote[2].end 4.45221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 33.25784375
transcript.pyannote[3].end 34.84409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 35.35034375
transcript.pyannote[4].end 35.92409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 36.31221875
transcript.pyannote[5].end 37.81409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 47.29784375
transcript.pyannote[6].end 48.58034375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 48.58034375
transcript.pyannote[7].end 49.20471875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 50.09909375
transcript.pyannote[8].end 54.77346875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 55.70159375
transcript.pyannote[9].end 56.89971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 57.72659375
transcript.pyannote[10].end 58.67159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 59.05971875
transcript.pyannote[11].end 60.61221875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 61.40534375
transcript.pyannote[12].end 62.51909375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 63.16034375
transcript.pyannote[13].end 64.96596875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 65.62409375
transcript.pyannote[14].end 67.21034375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 67.85159375
transcript.pyannote[15].end 68.69534375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 68.93159375
transcript.pyannote[16].end 70.82159375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 71.09159375
transcript.pyannote[17].end 75.32721875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 75.49596875
transcript.pyannote[18].end 77.06534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 77.82471875
transcript.pyannote[19].end 80.28846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 80.76096875
transcript.pyannote[20].end 81.03096875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 81.82409375
transcript.pyannote[21].end 86.05971875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 86.81909375
transcript.pyannote[22].end 88.16909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 88.75971875
transcript.pyannote[23].end 89.02971875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 89.23221875
transcript.pyannote[24].end 90.39659375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 91.69596875
transcript.pyannote[25].end 93.61971875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 93.88971875
transcript.pyannote[26].end 94.58159375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 95.52659375
transcript.pyannote[27].end 98.04096875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 98.76659375
transcript.pyannote[28].end 101.75346875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 102.46221875
transcript.pyannote[29].end 106.22534375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 106.83284375
transcript.pyannote[30].end 109.34721875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 109.71846875
transcript.pyannote[31].end 111.67596875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 111.99659375
transcript.pyannote[32].end 115.55721875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 116.36721875
transcript.pyannote[33].end 119.60721875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 120.94034375
transcript.pyannote[34].end 121.56471875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 122.32409375
transcript.pyannote[35].end 122.81346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 123.62346875
transcript.pyannote[36].end 125.78346875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 126.52596875
transcript.pyannote[37].end 128.07846875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 128.46659375
transcript.pyannote[38].end 129.95159375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 130.64346875
transcript.pyannote[39].end 134.92971875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 135.36846875
transcript.pyannote[40].end 136.71846875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 137.24159375
transcript.pyannote[41].end 141.34221875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 141.61221875
transcript.pyannote[42].end 142.79346875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 143.85659375
transcript.pyannote[43].end 146.72534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 148.51409375
transcript.pyannote[44].end 150.47159375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 150.89346875
transcript.pyannote[45].end 153.32346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 155.19659375
transcript.pyannote[46].end 156.96846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 158.60534375
transcript.pyannote[47].end 161.03534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 161.38971875
transcript.pyannote[48].end 163.04346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 163.27971875
transcript.pyannote[49].end 165.47346875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 166.80659375
transcript.pyannote[50].end 167.32971875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 168.10596875
transcript.pyannote[51].end 171.64971875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 172.17284375
transcript.pyannote[52].end 173.25284375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 173.74221875
transcript.pyannote[53].end 179.07471875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 180.52596875
transcript.pyannote[54].end 180.86346875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 180.99846875
transcript.pyannote[55].end 183.90096875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 181.97721875
transcript.pyannote[56].end 182.66909375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 182.87159375
transcript.pyannote[57].end 183.09096875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 183.90096875
transcript.pyannote[58].end 185.18346875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 185.18346875
transcript.pyannote[59].end 188.20409375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 185.23409375
transcript.pyannote[60].end 185.65596875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 186.36471875
transcript.pyannote[61].end 186.90471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 188.74409375
transcript.pyannote[62].end 191.34284375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 188.82846875
transcript.pyannote[63].end 189.26721875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 191.44409375
transcript.pyannote[64].end 193.80659375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 191.61284375
transcript.pyannote[65].end 192.30471875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 193.14846875
transcript.pyannote[66].end 198.68346875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 199.34159375
transcript.pyannote[67].end 200.59034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 201.99096875
transcript.pyannote[68].end 203.03721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 203.69534375
transcript.pyannote[69].end 204.35346875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 205.82159375
transcript.pyannote[70].end 207.13784375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 208.28534375
transcript.pyannote[71].end 210.10784375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 211.35659375
transcript.pyannote[72].end 213.22971875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 214.25909375
transcript.pyannote[73].end 216.50346875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 217.85346875
transcript.pyannote[74].end 218.86596875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 219.05159375
transcript.pyannote[75].end 220.11471875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 220.97534375
transcript.pyannote[76].end 221.02596875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 221.97096875
transcript.pyannote[77].end 223.57409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 224.18159375
transcript.pyannote[78].end 225.44721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 226.69596875
transcript.pyannote[79].end 227.72534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 228.61971875
transcript.pyannote[80].end 230.66159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 231.62346875
transcript.pyannote[81].end 233.93534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 233.93534375
transcript.pyannote[82].end 235.63971875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 236.26409375
transcript.pyannote[83].end 236.85471875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 237.12471875
transcript.pyannote[84].end 239.47034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 239.89221875
transcript.pyannote[85].end 240.06096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 240.33096875
transcript.pyannote[86].end 242.55846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 243.62159375
transcript.pyannote[87].end 244.90409375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 245.52846875
transcript.pyannote[88].end 246.52409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 246.65909375
transcript.pyannote[89].end 247.55346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 247.95846875
transcript.pyannote[90].end 248.75159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 249.03846875
transcript.pyannote[91].end 250.52346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 250.75971875
transcript.pyannote[92].end 252.12659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 252.61596875
transcript.pyannote[93].end 254.42159375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 254.45534375
transcript.pyannote[94].end 256.71659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 256.91909375
transcript.pyannote[95].end 257.23971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 257.50971875
transcript.pyannote[96].end 259.65284375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 259.88909375
transcript.pyannote[97].end 261.76221875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 262.15034375
transcript.pyannote[98].end 265.33971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 265.96409375
transcript.pyannote[99].end 266.68971875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 270.21659375
transcript.pyannote[100].end 275.68409375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 276.79784375
transcript.pyannote[101].end 278.77221875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 280.10534375
transcript.pyannote[102].end 284.03721875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 284.03721875
transcript.pyannote[103].end 285.40409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 285.40409375
transcript.pyannote[104].end 285.42096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 285.97784375
transcript.pyannote[105].end 286.01159375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 286.01159375
transcript.pyannote[106].end 286.28159375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 286.85534375
transcript.pyannote[107].end 294.46596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 294.63471875
transcript.pyannote[108].end 296.40659375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 295.24221875
transcript.pyannote[109].end 301.13159375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 301.38471875
transcript.pyannote[110].end 303.59534375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 304.27034375
transcript.pyannote[111].end 308.67471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 308.91096875
transcript.pyannote[112].end 309.85596875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 311.23971875
transcript.pyannote[113].end 313.34909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 311.67846875
transcript.pyannote[114].end 312.92721875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 314.12534375
transcript.pyannote[115].end 315.57659375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 317.92221875
transcript.pyannote[116].end 320.99346875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 321.75284375
transcript.pyannote[117].end 323.47409375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 324.28409375
transcript.pyannote[118].end 326.32596875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 327.87846875
transcript.pyannote[119].end 330.34221875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 332.04659375
transcript.pyannote[120].end 334.32471875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 334.64534375
transcript.pyannote[121].end 336.53534375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 338.03721875
transcript.pyannote[122].end 340.01159375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 341.31096875
transcript.pyannote[123].end 343.82534375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 344.82096875
transcript.pyannote[124].end 346.54221875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 347.63909375
transcript.pyannote[125].end 352.14471875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 353.39346875
transcript.pyannote[126].end 355.50284375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 356.51534375
transcript.pyannote[127].end 357.17346875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 357.79784375
transcript.pyannote[128].end 359.56971875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 359.97471875
transcript.pyannote[129].end 360.66659375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 361.08846875
transcript.pyannote[130].end 363.31596875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 363.95721875
transcript.pyannote[131].end 364.64909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 365.45909375
transcript.pyannote[132].end 365.71221875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 366.35346875
transcript.pyannote[133].end 366.91034375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 367.09596875
transcript.pyannote[134].end 367.61909375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 368.27721875
transcript.pyannote[135].end 369.55971875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 370.01534375
transcript.pyannote[136].end 372.02346875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 372.81659375
transcript.pyannote[137].end 374.16659375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 375.73596875
transcript.pyannote[138].end 376.66409375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 377.59221875
transcript.pyannote[139].end 378.28409375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 379.34721875
transcript.pyannote[140].end 381.00096875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 382.40159375
transcript.pyannote[141].end 386.50221875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 386.95784375
transcript.pyannote[142].end 390.55221875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 391.95284375
transcript.pyannote[143].end 394.07909375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 394.48409375
transcript.pyannote[144].end 397.15034375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 397.77471875
transcript.pyannote[145].end 400.33971875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 400.54221875
transcript.pyannote[146].end 402.21284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 402.33096875
transcript.pyannote[147].end 404.03534375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 404.42346875
transcript.pyannote[148].end 406.68471875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 407.96721875
transcript.pyannote[149].end 438.39284375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 414.98721875
transcript.pyannote[150].end 415.30784375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 438.25784375
transcript.pyannote[151].end 439.62471875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 440.95784375
transcript.pyannote[152].end 443.53971875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 444.18096875
transcript.pyannote[153].end 447.25221875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 447.97784375
transcript.pyannote[154].end 449.05784375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 449.61471875
transcript.pyannote[155].end 450.77909375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 451.57221875
transcript.pyannote[156].end 452.83784375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 454.18784375
transcript.pyannote[157].end 455.36909375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 456.41534375
transcript.pyannote[158].end 459.55409375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 460.22909375
transcript.pyannote[159].end 462.32159375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 462.74346875
transcript.pyannote[160].end 463.68846875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 464.43096875
transcript.pyannote[161].end 466.21971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 467.16471875
transcript.pyannote[162].end 468.41346875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 469.07159375
transcript.pyannote[163].end 469.62846875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 470.15159375
transcript.pyannote[164].end 471.11346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 471.50159375
transcript.pyannote[165].end 473.56034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 474.30284375
transcript.pyannote[166].end 475.11284375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 475.68659375
transcript.pyannote[167].end 478.77471875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 479.24721875
transcript.pyannote[168].end 480.88409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 481.20471875
transcript.pyannote[169].end 482.25096875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 482.82471875
transcript.pyannote[170].end 485.89596875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 486.38534375
transcript.pyannote[171].end 487.29659375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 488.68034375
transcript.pyannote[172].end 496.03784375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 492.08909375
transcript.pyannote[173].end 498.04596875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 497.59034375
transcript.pyannote[174].end 504.34034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 504.77909375
transcript.pyannote[175].end 507.90096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 508.42409375
transcript.pyannote[176].end 510.02721875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 510.28034375
transcript.pyannote[177].end 512.28846875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 512.47409375
transcript.pyannote[178].end 513.65534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 514.21221875
transcript.pyannote[179].end 515.54534375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 515.71409375
transcript.pyannote[180].end 516.82784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 516.92909375
transcript.pyannote[181].end 523.83096875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 521.23221875
transcript.pyannote[182].end 523.67909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 523.99971875
transcript.pyannote[183].end 525.80534375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 526.14284375
transcript.pyannote[184].end 526.44659375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 527.02034375
transcript.pyannote[185].end 528.92721875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 529.87221875
transcript.pyannote[186].end 532.57221875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 533.46659375
transcript.pyannote[187].end 534.52971875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 535.03596875
transcript.pyannote[188].end 536.04846875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 537.65159375
transcript.pyannote[189].end 539.13659375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 540.90846875
transcript.pyannote[190].end 543.45659375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 544.67159375
transcript.pyannote[191].end 546.13971875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 546.69659375
transcript.pyannote[192].end 548.33346875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 549.73409375
transcript.pyannote[193].end 550.22346875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 550.72971875
transcript.pyannote[194].end 551.92784375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 553.14284375
transcript.pyannote[195].end 555.30284375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 556.45034375
transcript.pyannote[196].end 557.29409375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 557.64846875
transcript.pyannote[197].end 559.03221875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 559.25159375
transcript.pyannote[198].end 560.07846875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 560.71971875
transcript.pyannote[199].end 562.54221875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 563.21721875
transcript.pyannote[200].end 569.59596875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 565.88346875
transcript.pyannote[201].end 566.13659375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 567.75659375
transcript.pyannote[202].end 570.28784375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 571.33409375
transcript.pyannote[203].end 572.38034375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 572.97096875
transcript.pyannote[204].end 575.68784375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 576.63284375
transcript.pyannote[205].end 579.60284375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 580.12596875
transcript.pyannote[206].end 580.37909375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 581.03721875
transcript.pyannote[207].end 582.21846875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 582.67409375
transcript.pyannote[208].end 584.51346875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 584.91846875
transcript.pyannote[209].end 586.55534375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 587.38221875
transcript.pyannote[210].end 588.47909375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 589.50846875
transcript.pyannote[211].end 590.48721875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 591.58409375
transcript.pyannote[212].end 593.86221875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 594.50346875
transcript.pyannote[213].end 595.34721875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 595.53284375
transcript.pyannote[214].end 598.19909375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 598.78971875
transcript.pyannote[215].end 600.24096875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 600.84846875
transcript.pyannote[216].end 603.22784375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 603.76784375
transcript.pyannote[217].end 603.98721875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 604.64534375
transcript.pyannote[218].end 605.42159375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 605.75909375
transcript.pyannote[219].end 606.55221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 608.77971875
transcript.pyannote[220].end 610.56846875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 611.22659375
transcript.pyannote[221].end 611.54721875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 611.78346875
transcript.pyannote[222].end 613.03221875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 613.38659375
transcript.pyannote[223].end 615.36096875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 615.78284375
transcript.pyannote[224].end 618.19596875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 618.56721875
transcript.pyannote[225].end 618.98909375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 620.42346875
transcript.pyannote[226].end 622.07721875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 622.34721875
transcript.pyannote[227].end 622.65096875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 623.02221875
transcript.pyannote[228].end 625.06409375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 625.31721875
transcript.pyannote[229].end 625.73909375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 625.73909375
transcript.pyannote[230].end 625.92471875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 626.24534375
transcript.pyannote[231].end 628.79346875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 629.46846875
transcript.pyannote[232].end 630.39659375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 630.70034375
transcript.pyannote[233].end 633.29909375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 633.60284375
transcript.pyannote[234].end 634.88534375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 635.35784375
transcript.pyannote[235].end 636.77534375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 638.53034375
transcript.pyannote[236].end 639.94784375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 640.92659375
transcript.pyannote[237].end 642.29346875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 643.25534375
transcript.pyannote[238].end 644.84159375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 645.55034375
transcript.pyannote[239].end 647.84534375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 648.21659375
transcript.pyannote[240].end 649.44846875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 649.95471875
transcript.pyannote[241].end 651.72659375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 652.04721875
transcript.pyannote[242].end 654.02159375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 654.40971875
transcript.pyannote[243].end 655.55721875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 655.65846875
transcript.pyannote[244].end 658.84784375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 659.01659375
transcript.pyannote[245].end 661.29471875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 660.11346875
transcript.pyannote[246].end 660.78846875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 661.05846875
transcript.pyannote[247].end 661.78409375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 661.56471875
transcript.pyannote[248].end 663.74159375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 664.18034375
transcript.pyannote[249].end 664.90596875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 665.86784375
transcript.pyannote[250].end 667.53846875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 667.92659375
transcript.pyannote[251].end 671.06534375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 672.12846875
transcript.pyannote[252].end 672.80346875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 673.30971875
transcript.pyannote[253].end 675.52034375
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 677.20784375
transcript.pyannote[254].end 678.72659375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 679.36784375
transcript.pyannote[255].end 680.21159375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 680.83596875
transcript.pyannote[256].end 687.02909375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 687.68721875
transcript.pyannote[257].end 689.84721875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 690.47159375
transcript.pyannote[258].end 692.10846875
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 693.01971875
transcript.pyannote[259].end 693.82971875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 694.43721875
transcript.pyannote[260].end 697.32284375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 697.71096875
transcript.pyannote[261].end 700.00596875
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 700.46159375
transcript.pyannote[262].end 702.09846875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 703.07721875
transcript.pyannote[263].end 703.33034375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 703.97159375
transcript.pyannote[264].end 704.46096875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 705.11909375
transcript.pyannote[265].end 706.77284375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 706.94159375
transcript.pyannote[266].end 710.33346875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 711.10971875
transcript.pyannote[267].end 714.04596875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 714.19784375
transcript.pyannote[268].end 715.22721875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 716.02034375
transcript.pyannote[269].end 716.56034375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 717.33659375
transcript.pyannote[270].end 718.50096875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 718.73721875
transcript.pyannote[271].end 722.48346875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 720.35721875
transcript.pyannote[272].end 721.01534375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 722.68596875
transcript.pyannote[273].end 727.61346875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 728.23784375
transcript.pyannote[274].end 730.02659375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 730.93784375
transcript.pyannote[275].end 731.49471875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 733.94159375
transcript.pyannote[276].end 735.44346875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 736.01721875
transcript.pyannote[277].end 737.58659375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 738.54846875
transcript.pyannote[278].end 740.92784375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 741.95721875
transcript.pyannote[279].end 743.22284375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 744.11721875
transcript.pyannote[280].end 746.41221875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 747.98159375
transcript.pyannote[281].end 749.24721875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 750.09096875
transcript.pyannote[282].end 751.39034375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 753.29721875
transcript.pyannote[283].end 754.44471875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 755.28846875
transcript.pyannote[284].end 756.35159375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 757.07721875
transcript.pyannote[285].end 758.79846875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 758.96721875
transcript.pyannote[286].end 760.28346875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 760.80659375
transcript.pyannote[287].end 763.75971875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 764.36721875
transcript.pyannote[288].end 767.55659375
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 768.14721875
transcript.pyannote[289].end 768.72096875
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 769.29471875
transcript.pyannote[290].end 771.87659375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 771.38721875
transcript.pyannote[291].end 772.23096875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 772.77096875
transcript.pyannote[292].end 773.14221875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 773.73284375
transcript.pyannote[293].end 777.27659375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 777.51284375
transcript.pyannote[294].end 781.51221875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 781.88346875
transcript.pyannote[295].end 784.97159375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 782.32221875
transcript.pyannote[296].end 784.31346875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 784.97159375
transcript.pyannote[297].end 785.07284375
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 785.07284375
transcript.pyannote[298].end 785.10659375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 785.10659375
transcript.pyannote[299].end 785.74784375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 786.20346875
transcript.pyannote[300].end 787.97534375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 786.64221875
transcript.pyannote[301].end 788.26221875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 788.86971875
transcript.pyannote[302].end 789.78096875
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 790.40534375
transcript.pyannote[303].end 790.57409375
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 791.48534375
transcript.pyannote[304].end 794.86034375
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 795.29909375
transcript.pyannote[305].end 795.92346875
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 796.64909375
transcript.pyannote[306].end 798.60659375
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 798.82596875
transcript.pyannote[307].end 800.10846875
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 800.24346875
transcript.pyannote[308].end 802.01534375
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 802.52159375
transcript.pyannote[309].end 804.39471875
transcript.pyannote[310].speaker SPEAKER_02
transcript.pyannote[310].start 805.20471875
transcript.pyannote[310].end 806.33534375
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 807.55034375
transcript.pyannote[311].end 809.49096875
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 810.89159375
transcript.pyannote[312].end 811.53284375
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 812.30909375
transcript.pyannote[313].end 813.86159375
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 814.85721875
transcript.pyannote[314].end 816.07221875
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 817.32096875
transcript.pyannote[315].end 817.87784375
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 818.11409375
transcript.pyannote[316].end 818.90721875
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 819.44721875
transcript.pyannote[317].end 820.54409375
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 820.86471875
transcript.pyannote[318].end 821.47221875
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 821.79284375
transcript.pyannote[319].end 822.94034375
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 823.22721875
transcript.pyannote[320].end 825.67409375
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 826.26471875
transcript.pyannote[321].end 826.99034375
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 827.17596875
transcript.pyannote[322].end 827.96909375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 828.84659375
transcript.pyannote[323].end 832.64346875
transcript.pyannote[324].speaker SPEAKER_02
transcript.pyannote[324].start 833.20034375
transcript.pyannote[324].end 834.49971875
transcript.pyannote[325].speaker SPEAKER_02
transcript.pyannote[325].start 835.30971875
transcript.pyannote[325].end 836.28846875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 837.25034375
transcript.pyannote[326].end 838.63409375
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 838.95471875
transcript.pyannote[327].end 839.47784375
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 839.93346875
transcript.pyannote[328].end 841.09784375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 841.97534375
transcript.pyannote[329].end 845.16471875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 846.34596875
transcript.pyannote[330].end 851.88096875
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 852.15096875
transcript.pyannote[331].end 853.11284375
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 853.48409375
transcript.pyannote[332].end 856.63971875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 856.80846875
transcript.pyannote[333].end 857.09534375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 857.39909375
transcript.pyannote[334].end 858.09096875
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 858.54659375
transcript.pyannote[335].end 858.79971875
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 859.05284375
transcript.pyannote[336].end 861.68534375
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 861.97221875
transcript.pyannote[337].end 863.62596875
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 864.25034375
transcript.pyannote[338].end 866.51159375
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 867.79409375
transcript.pyannote[339].end 869.53221875
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 870.49409375
transcript.pyannote[340].end 871.92846875
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 872.06346875
transcript.pyannote[341].end 874.40909375
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 874.91534375
transcript.pyannote[342].end 876.09659375
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 876.48471875
transcript.pyannote[343].end 879.40409375
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 879.99471875
transcript.pyannote[344].end 880.72034375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 880.99034375
transcript.pyannote[345].end 882.59346875
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 883.18409375
transcript.pyannote[346].end 885.15846875
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 886.33971875
transcript.pyannote[347].end 887.11596875
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 887.82471875
transcript.pyannote[348].end 891.77346875
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 892.04346875
transcript.pyannote[349].end 893.47784375
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 894.25409375
transcript.pyannote[350].end 895.01346875
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 895.77284375
transcript.pyannote[351].end 895.92471875
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 896.38034375
transcript.pyannote[352].end 898.06784375
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 898.38846875
transcript.pyannote[353].end 899.70471875
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 900.49784375
transcript.pyannote[354].end 903.14721875
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 904.02471875
transcript.pyannote[355].end 909.23909375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 909.59346875
transcript.pyannote[356].end 911.33159375
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 911.85471875
transcript.pyannote[357].end 913.10346875
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 913.79534375
transcript.pyannote[358].end 914.47034375
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 914.63909375
transcript.pyannote[359].end 915.90471875
transcript.pyannote[360].speaker SPEAKER_02
transcript.pyannote[360].start 916.25909375
transcript.pyannote[360].end 916.98471875
transcript.pyannote[361].speaker SPEAKER_02
transcript.pyannote[361].start 917.44034375
transcript.pyannote[361].end 917.64284375
transcript.pyannote[362].speaker SPEAKER_02
transcript.pyannote[362].start 918.08159375
transcript.pyannote[362].end 920.14034375
transcript.pyannote[363].speaker SPEAKER_02
transcript.pyannote[363].start 920.91659375
transcript.pyannote[363].end 922.75596875
transcript.pyannote[364].speaker SPEAKER_02
transcript.pyannote[364].start 924.24096875
transcript.pyannote[364].end 926.13096875
transcript.pyannote[365].speaker SPEAKER_02
transcript.pyannote[365].start 927.39659375
transcript.pyannote[365].end 928.44284375
transcript.pyannote[366].speaker SPEAKER_02
transcript.pyannote[366].start 928.93221875
transcript.pyannote[366].end 929.84346875
transcript.pyannote[367].speaker SPEAKER_02
transcript.pyannote[367].start 930.43409375
transcript.pyannote[367].end 930.67034375
transcript.pyannote[368].speaker SPEAKER_02
transcript.pyannote[368].start 931.02471875
transcript.pyannote[368].end 933.87659375
transcript.pyannote[369].speaker SPEAKER_02
transcript.pyannote[369].start 934.34909375
transcript.pyannote[369].end 936.69471875
transcript.pyannote[370].speaker SPEAKER_02
transcript.pyannote[370].start 937.65659375
transcript.pyannote[370].end 940.86284375
transcript.pyannote[371].speaker SPEAKER_02
transcript.pyannote[371].start 941.33534375
transcript.pyannote[371].end 942.41534375
transcript.pyannote[372].speaker SPEAKER_02
transcript.pyannote[372].start 942.61784375
transcript.pyannote[372].end 944.08596875
transcript.pyannote[373].speaker SPEAKER_02
transcript.pyannote[373].start 944.25471875
transcript.pyannote[373].end 946.02659375
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 946.31346875
transcript.pyannote[374].end 947.69721875
transcript.pyannote[375].speaker SPEAKER_02
transcript.pyannote[375].start 947.88284375
transcript.pyannote[375].end 951.88221875
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 951.88221875
transcript.pyannote[376].end 951.89909375
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 953.23221875
transcript.pyannote[377].end 957.45096875
transcript.pyannote[378].speaker SPEAKER_00
transcript.pyannote[378].start 961.51784375
transcript.pyannote[378].end 965.70284375
transcript.whisperx[0].start 0.23
transcript.whisperx[0].end 1.114
transcript.whisperx[0].text 沐坑齊委員請質詢林國成委員請準備
transcript.whisperx[1].start 33.948
transcript.whisperx[1].end 59.923
transcript.whisperx[1].text 主席請卓院長麻煩再請卓院長備詢副委員好卓院長早我想這次單大式颱風對台灣所造成這麼大的一個重創此時此刻我們不只要好好的來檢討
transcript.whisperx[2].start 61.465
transcript.whisperx[2].end 90.224
transcript.whisperx[2].text 更要為未來台灣多災多雨的多天然災害的地方我們要怎麼樣能夠重新打造一個標準的SOP是我們應該痛定思痛好好的來檢討對剛剛院長公開表達此次風災行政院整體的救災能力不足應變能力不足任性能力不足
transcript.whisperx[3].start 91.681
transcript.whisperx[3].end 119.15
transcript.whisperx[3].text 我想本席深表同意但是我們不是只表達不足以後我們應該深自來檢討所以我想在這裡我們今天希望我們大家一起能夠為台灣未來的這種天然災害能夠打造一個比較完整的一個應變的一個體制標準的作業程序在這裡首先要請教一下
transcript.whisperx[4].start 122.347
transcript.whisperx[4].end 145.672
transcript.whisperx[4].text 這個院長在您這份報告裡面有寫雖然北極今天早上才看到這份報告您在7月8號去了嘉義11號去了南投彰化15號去了台南7月25號去了台南嘉義7月29號去了雲嘉南院長視察但那事實是從7月6號就開始
transcript.whisperx[5].start 148.561
transcript.whisperx[5].end 172.618
transcript.whisperx[5].text 可以說是百年來南台灣最嚴重的災情從7月6號登陸院長7月8號 11號 7月15號 25號 29號去了五次災區院長 是不是陳如寧報告上面寫的你去了五次災區 是嗎我7月5號
transcript.whisperx[6].start 173.883
transcript.whisperx[6].end 202.275
transcript.whisperx[6].text 我記得7月5號剛海警發布的時候我去了彰化跟雲林好 因為您的報告或者是彰化跟南投我再記一下您的報告我沒有看錯7月5號那天是沒有因為那是海警發布的當天我見到了兩位縣長都拜託他們能夠跟中央緊密的聯繫災情發生之後是8號 11號我是按照您的報告拜託您報告之後建議您
transcript.whisperx[7].start 203.737
transcript.whisperx[7].end 230.495
transcript.whisperx[7].text 建議你啦這麼大的一個災情院長整個月只去五次照說你應該進駐在災區帶著行政院所有的官員都要進去這空前的災難我想在行政院開會那時候了備一格我再請教一下那個院長什麼時候成立
transcript.whisperx[8].start 231.931
transcript.whisperx[8].end 243.732
transcript.whisperx[8].text 這麼大災情的前進指揮所什麼時候7月30號在728之後什麼時候7月28之後7月30號成立7月30號是什麼樣的情況成立的因為728在
transcript.whisperx[9].start 245.558
transcript.whisperx[9].end 266.349
transcript.whisperx[9].text 但是颱風之後 持續救災 修復房屋但是過程還是持續下雨那728帶來的好雨 又超乎我們原來預料之外所以我去到災區 看到那樣的狀況是災上又加上一次的災害所以我當場就宣布 請我們的工程會陳靜德政委 來主持成立天氣指揮所
transcript.whisperx[10].start 270.571
transcript.whisperx[10].end 278.187
transcript.whisperx[10].text 依照行政院所發布的新聞是7月31日成立前進指揮所
transcript.whisperx[11].start 280.151
transcript.whisperx[11].end 309.603
transcript.whisperx[11].text 那今天你的報告又寫7月30號30號在現場宣布我去到縣市的時候現場應該是台南我現場宣布我們要成立指揮所那隔天他就馬上正式成立而且開會7月30號本席查證了一下資料因為新聞發布是7月31但你的報告上寫7月30本席了解了一下新聞之後是7月30號賴總統在中常會宣布
transcript.whisperx[12].start 311.277
transcript.whisperx[12].end 339.814
transcript.whisperx[12].text 要成立前進指揮所 這個院長啊應該儘早成立前進指揮所7月6號的災情不管是7月30還是31只會這麼大的災情發生以後在7月30或31號前進成立指揮所本席在這裡跟院長商量一下
transcript.whisperx[13].start 341.363
transcript.whisperx[13].end 364.495
transcript.whisperx[13].text 有這種這麼龐大的天然災害 疾民所及苦民所苦行政院所有的體系跟團隊早就應該進駐災區颱風離開就要進去 而不是等到7月31日甚至在黨務工作指導之後才來成立
transcript.whisperx[14].start 366.397
transcript.whisperx[14].end 390.166
transcript.whisperx[14].text 我想因為崑崎在災區擔任行政首長長達九年所以跟院長來商量一下萬一我們國內我們很不樂見萬一再有這種天然災害我們第一時間就要疾民所急苦民所苦要把整個行政院的能量通通帶到災區去
transcript.whisperx[15].start 392.011
transcript.whisperx[15].end 406.372
transcript.whisperx[15].text 不能延宕了20幾天才成立的前進指揮所另外再請院長看一下這個影片賴總統去視察災區的影片我比較好奇來看一下
transcript.whisperx[16].start 411.926
transcript.whisperx[16].end 412.966
transcript.whisperx[16].text 請問一下
transcript.whisperx[17].start 441.004
transcript.whisperx[17].end 465.95
transcript.whisperx[17].text 有這麼多的災民一萬八千戶嘉義跟台南的災民沒有屋頂一萬八千戶這種情況之下賴總統到災區去告訴災民希望說國軍能夠對屋頂搶修的部分能夠來支持這樣的一個搶救的能量
transcript.whisperx[18].start 467.199
transcript.whisperx[18].end 486.969
transcript.whisperx[18].text 但是我們很遺憾的看到賴總統說國軍沒有辦法做這樣的一個任務必須要由社區自己發揮力量不能什麼事都靠國軍請問一下這個訊息是院長你跟總統報告的嗎報告委員
transcript.whisperx[19].start 489.035
transcript.whisperx[19].end 504.234
transcript.whisperx[19].text 颱風成立的時候中央應變中心都會成立所以中央是有持續關懷這是第一個那剛剛總統在總統這個說法是院長告訴他的嗎沒有 總統這段講話是我們現在是希望地方都能夠成立自主的防災社區有這樣的前提
transcript.whisperx[20].start 504.795
transcript.whisperx[20].end 533.968
transcript.whisperx[20].text 那國軍在當時是在演習但總統也講到需要的時候國軍還是會進去況且在美式災區的一開始我都先請示總統需要的時候能不能請國軍來做支援總統從來沒有任何的猶豫從來就第一次主動的指示國軍要全力搶救 協助搶救我們今天是在檢討基本上總統這個說法這個民眾可能很難接受那我們
transcript.whisperx[21].start 535.097
transcript.whisperx[21].end 562.462
transcript.whisperx[21].text 避免以後這樣的一個混淆從金國先生時代到現在我們的國軍將士救災視同作戰院長可不可以未來當國內發生災情的時候我們的國軍就應該全力的投入救災不要再有其他任何理由可不可以
transcript.whisperx[22].start 563.394
transcript.whisperx[22].end 588.314
transcript.whisperx[22].text 這是一個必然的一個狀況跟要求我到每個災區我都會向當地的指揮官表達最大的謝意所以未來整個國防部也要履行救災視同作戰可以嗎可以好我們在檢討以後不要再發生這樣的一個以總統的高度跟民眾啊災區的民眾有發生不愉快的情況接下來就是這個災後
transcript.whisperx[23].start 591.678
transcript.whisperx[23].end 618.811
transcript.whisperx[23].text 重建的重點項目本席在這裡針對今天你提出來的報告希望 院長你提出了十個重點的項目本席希望對於這個倉儲農舍還有農業機具人民所受的損失行政院能夠大力的協助第二
transcript.whisperx[24].start 620.901
transcript.whisperx[24].end 649.153
transcript.whisperx[24].text 這個住宅的修繕院長能夠拿出最大的能量好的第三個還有農業的補助等等這三項是在你的十項裡面本席希望這三項能夠建局理局能夠盡快的完成可以嗎尤其是民宅的修繕可以盡快的把它完成嗎民宅因為第一個數量很大再來我們現在已經由各部會跟營造的廠商
transcript.whisperx[25].start 650.177
transcript.whisperx[25].end 675.266
transcript.whisperx[25].text 進行認養17個行政區那目前的速度已經開始上了這個軌道過去一段時間確實是比較慢因為沒有這樣的一個認養的工作謝謝陳金德主委在率領的前進指揮所院長就不要再提前進指揮所了已經慢了二十幾天了請不要再提這個事好不好本席向院長來說明了解一下
transcript.whisperx[26].start 677.247
transcript.whisperx[26].end 699.858
transcript.whisperx[26].text 本席在7月19號就提出了對南台灣的整體的災後重建的條例希望行政院能夠盡快提出並在7月29號本黨正式來提案正式來提案並在7月31號本席召集朝野協商三黨一致同意 簡直通過並在8月8號讓
transcript.whisperx[27].start 705.171
transcript.whisperx[27].end 731.233
transcript.whisperx[27].text 行政院所提出的條例雖然沒有經過程序委員會我們讓你近乎二十年那如果院長這兩天有空可以召集協商的話我們希望在這個本週五啊本週五能夠順利的三讀順利的三讀順利三讀以後就可以把實際的預算項目把它提進來不過本席也認為啊給院長做個參考就是
transcript.whisperx[28].start 733.971
transcript.whisperx[28].end 755.741
transcript.whisperx[28].text 您是行政最高體系的首長請問您有沒有召集全國的縣市一起來討論把各縣市救災的能量重建的能量一起大家來討論共同投入災區這不是一個點
transcript.whisperx[29].start 757.113
transcript.whisperx[29].end 771.779
transcript.whisperx[29].text 或是一個鄉鎮一個縣市的災難這是一個複合全面式的很多縣市的災難院長能不能積極來召集一下全國各縣市長一起災後重建大家同心協力我們在
transcript.whisperx[30].start 773.803
transcript.whisperx[30].end 787.795
transcript.whisperx[30].text 中央應變中心成立的過程當中我們一直跟地方保持聯繫而且曾經的政委數次南下跟各縣市來進行這種復原重建工作的會議院長可以嗎可以 我們可以繼續來做那這一次啊
transcript.whisperx[31].start 791.53
transcript.whisperx[31].end 815.792
transcript.whisperx[31].text 我要特別希望院長把這一次的災難未來國家救災的能力能夠全面的提升有標準的作業程序各縣市都有各縣市的能量災民是不能等的大家共同來投入不分彼此立法院從去年2月1號到現在針對本案
transcript.whisperx[32].start 817.372
transcript.whisperx[32].end 844.687
transcript.whisperx[32].text 各黨同心協力都是支持卓院長希望盡快的把災區救災的任務能夠來完成在這裡也希望這個院長對於這一次鋪天蓋地的海上的路上的這些光電板污染我們整個環境美麗的寶島不是完全由這些光電板來覆蓋
transcript.whisperx[33].start 846.457
transcript.whisperx[33].end 869.235
transcript.whisperx[33].text 希望就能源政策的部分可以看看這個摧毀了台灣的美麗的這樣一個地景希望這個部分我們未來會再跟院長請教希望我們的能源政策做一個充分的一個討論還有希望院長我們大家都秉持善心善念對於好像五月天能夠在
transcript.whisperx[34].start 871.046
transcript.whisperx[34].end 899.064
transcript.whisperx[34].text 這個7月28號他主動的捐款來救助災民也希望適度的給這些社會善心人士給他們適度的保護不要受到一些側翼的這些攻擊這對國家形象是不好的那另外也希望說我們現在整個不只是救災災後重建的部分國民黨已經提出了國民黨的版行政院提出了560億國民黨提的是600億
transcript.whisperx[35].start 900.543
transcript.whisperx[35].end 929.71
transcript.whisperx[35].text 我們希望行政有更寬鬆的預算儘快的尤其在工資尤其在重建的營建能量上有更大的資源相信就有更多的團隊進來協助畢竟18000戶沒有屋頂接下來你看明天颱風又進來這些災民到底要怎麼面對我們希望大家同心協力
transcript.whisperx[36].start 931.092
transcript.whisperx[36].end 955.278
transcript.whisperx[36].text 人機幾機 人力幾力我們一起來救助災民也希望院長這個普發一萬全民共享退稅的成果也希望院長盡快把預算送進立法院來我們會很樂意來審查也希望大家同心協力盡快把救災任務完成好 謝謝院長好 謝謝傅坤祺委員質詢謝謝卓院長 相關部會所長備詢 謝謝
transcript.whisperx[37].start 961.581
transcript.whisperx[37].end 965.459
transcript.whisperx[37].text 接下來我們請林國成委員 子薰王定宇委員