iVOD / 161685

Field Value
IVOD_ID 161685
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161685
日期 2025-05-21
會議資料.會議代碼 委員會-11-3-23-12
會議資料.會議代碼:str 第11屆第3會期交通委員會第12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 12
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第12次全體委員會議
影片種類 Clip
開始時間 2025-05-21T10:04:36+08:00
結束時間 2025-05-21T10:21:02+08:00
影片長度 00:16:26
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e381da0d479eb7dbee0d277fe90189d0020ad028569f7f2fc32860b8eb41b24402cda474afd28a485ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 傅崐萁
委員發言時間 10:04:36 - 10:21:02
會議時間 2025-05-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第12次全體委員會議(事由:一、審查及處理114年度中央政府總預算關於交通部主管預算凍結案計48案。 二、審查及處理114年度中央政府總預算關於數位發展部主管預算凍結案計20案。 三、處理114年度中央政府總預算關於行政院公共工程委員會預算凍結案計8案。 【5月21日及22日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 2.34284375
transcript.pyannote[0].end 4.18221875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.84034375
transcript.pyannote[1].end 5.80221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.37596875
transcript.pyannote[2].end 6.89909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 7.45596875
transcript.pyannote[3].end 8.09721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 8.50221875
transcript.pyannote[4].end 10.47659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 10.67909375
transcript.pyannote[5].end 10.93221875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 10.93221875
transcript.pyannote[6].end 10.98284375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 10.98284375
transcript.pyannote[7].end 11.03346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 16.68659375
transcript.pyannote[8].end 17.42909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 19.03221875
transcript.pyannote[9].end 20.73659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 21.02346875
transcript.pyannote[10].end 22.49159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 24.09471875
transcript.pyannote[11].end 27.84096875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 29.03909375
transcript.pyannote[12].end 30.42284375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 31.03034375
transcript.pyannote[13].end 31.57034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 32.14409375
transcript.pyannote[14].end 32.51534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 33.54471875
transcript.pyannote[15].end 36.59909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 36.71721875
transcript.pyannote[16].end 38.79284375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 40.37909375
transcript.pyannote[17].end 41.81346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 42.65721875
transcript.pyannote[18].end 43.45034375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 43.55159375
transcript.pyannote[19].end 44.59784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 45.57659375
transcript.pyannote[20].end 46.21784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 46.72409375
transcript.pyannote[21].end 47.93909375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 48.41159375
transcript.pyannote[22].end 50.62221875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 52.37721875
transcript.pyannote[23].end 53.13659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 53.57534375
transcript.pyannote[24].end 54.55409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 55.34721875
transcript.pyannote[25].end 57.59159375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 60.59534375
transcript.pyannote[26].end 62.35034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 62.58659375
transcript.pyannote[27].end 62.75534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 62.94096875
transcript.pyannote[28].end 64.51034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 65.55659375
transcript.pyannote[29].end 67.51409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 68.10471875
transcript.pyannote[30].end 68.91471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 69.53909375
transcript.pyannote[31].end 72.64409375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 73.75784375
transcript.pyannote[32].end 76.33971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 76.42409375
transcript.pyannote[33].end 77.77409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 78.78659375
transcript.pyannote[34].end 81.13221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 87.30846875
transcript.pyannote[35].end 88.99596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 89.18159375
transcript.pyannote[36].end 89.92409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 91.47659375
transcript.pyannote[37].end 92.26971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 93.70409375
transcript.pyannote[38].end 96.69096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 97.34909375
transcript.pyannote[39].end 98.68221875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 100.63971875
transcript.pyannote[40].end 101.70284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 103.52534375
transcript.pyannote[41].end 106.07346875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 107.37284375
transcript.pyannote[42].end 109.07721875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 110.68034375
transcript.pyannote[43].end 112.30034375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 113.97096875
transcript.pyannote[44].end 114.69659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 115.67534375
transcript.pyannote[45].end 118.18971875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 119.75909375
transcript.pyannote[46].end 120.09659375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 121.22721875
transcript.pyannote[47].end 121.88534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 121.96971875
transcript.pyannote[48].end 127.13346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 127.45409375
transcript.pyannote[49].end 129.47909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 129.96846875
transcript.pyannote[50].end 171.12659375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 171.27846875
transcript.pyannote[51].end 200.38784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 201.53534375
transcript.pyannote[52].end 202.61534375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 203.96534375
transcript.pyannote[53].end 203.98221875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 203.98221875
transcript.pyannote[54].end 206.61471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 207.35721875
transcript.pyannote[55].end 207.69471875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 208.13346875
transcript.pyannote[56].end 208.94346875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 209.38221875
transcript.pyannote[57].end 211.52534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 212.97659375
transcript.pyannote[58].end 215.49096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 217.11096875
transcript.pyannote[59].end 219.16971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 220.09784375
transcript.pyannote[60].end 223.01721875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 223.50659375
transcript.pyannote[61].end 224.72159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 225.17721875
transcript.pyannote[62].end 226.32471875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 227.72534375
transcript.pyannote[63].end 229.31159375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 229.98659375
transcript.pyannote[64].end 231.25221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 232.28159375
transcript.pyannote[65].end 233.37846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 233.85096875
transcript.pyannote[66].end 234.81284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 235.69034375
transcript.pyannote[67].end 236.95596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 237.24284375
transcript.pyannote[68].end 239.55471875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 240.16221875
transcript.pyannote[69].end 242.30534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 243.23346875
transcript.pyannote[70].end 246.35534375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 247.36784375
transcript.pyannote[71].end 249.30846875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 249.81471875
transcript.pyannote[72].end 255.43409375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 256.24409375
transcript.pyannote[73].end 259.90596875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 260.27721875
transcript.pyannote[74].end 264.59721875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 265.28909375
transcript.pyannote[75].end 266.53784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 267.21284375
transcript.pyannote[76].end 268.54596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 269.40659375
transcript.pyannote[77].end 272.46096875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 273.27096875
transcript.pyannote[78].end 274.36784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 274.87409375
transcript.pyannote[79].end 279.19409375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 279.46409375
transcript.pyannote[80].end 280.54409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 280.99971875
transcript.pyannote[81].end 281.70846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 282.14721875
transcript.pyannote[82].end 283.22721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 283.66596875
transcript.pyannote[83].end 287.66534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 289.50471875
transcript.pyannote[84].end 292.39034375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 289.58909375
transcript.pyannote[85].end 291.10784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 293.72346875
transcript.pyannote[86].end 294.65159375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 295.17471875
transcript.pyannote[87].end 295.95096875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 296.69346875
transcript.pyannote[88].end 298.66784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 299.56221875
transcript.pyannote[89].end 301.14846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 301.80659375
transcript.pyannote[90].end 303.05534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 303.94971875
transcript.pyannote[91].end 310.44659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 311.49284375
transcript.pyannote[92].end 312.92721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 314.31096875
transcript.pyannote[93].end 316.11659375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 316.75784375
transcript.pyannote[94].end 317.28096875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 318.05721875
transcript.pyannote[95].end 320.11596875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 322.51221875
transcript.pyannote[96].end 323.03534375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 323.33909375
transcript.pyannote[97].end 325.26284375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 326.27534375
transcript.pyannote[98].end 327.57471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 329.19471875
transcript.pyannote[99].end 331.47284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 333.37971875
transcript.pyannote[100].end 333.68346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 334.03784375
transcript.pyannote[101].end 334.88159375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 336.43409375
transcript.pyannote[102].end 336.61971875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 338.81346875
transcript.pyannote[103].end 341.24346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 342.10409375
transcript.pyannote[104].end 343.30221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 344.50034375
transcript.pyannote[105].end 346.64346875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 347.90909375
transcript.pyannote[106].end 348.14534375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 348.98909375
transcript.pyannote[107].end 349.63034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 350.25471875
transcript.pyannote[108].end 351.06471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 351.75659375
transcript.pyannote[109].end 352.95471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 353.84909375
transcript.pyannote[110].end 356.63346875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 357.86534375
transcript.pyannote[111].end 359.80596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 361.69596875
transcript.pyannote[112].end 362.67471875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 362.96159375
transcript.pyannote[113].end 364.42971875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 364.86846875
transcript.pyannote[114].end 366.75846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 367.11284375
transcript.pyannote[115].end 370.11659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 371.24721875
transcript.pyannote[116].end 372.25971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 372.56346875
transcript.pyannote[117].end 374.11596875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 374.52096875
transcript.pyannote[118].end 375.39846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 375.75284375
transcript.pyannote[119].end 377.22096875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 380.00534375
transcript.pyannote[120].end 380.66346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 381.00096875
transcript.pyannote[121].end 385.27034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 387.51471875
transcript.pyannote[122].end 389.03346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 389.52284375
transcript.pyannote[123].end 390.99096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 392.99909375
transcript.pyannote[124].end 396.25596875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 398.82096875
transcript.pyannote[125].end 399.86721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 400.35659375
transcript.pyannote[126].end 403.51221875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 403.84971875
transcript.pyannote[127].end 405.99284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 405.19971875
transcript.pyannote[128].end 406.76909375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 407.46096875
transcript.pyannote[129].end 409.09784375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 409.09784375
transcript.pyannote[130].end 409.36784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 410.41409375
transcript.pyannote[131].end 412.38846875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 412.87784375
transcript.pyannote[132].end 413.35034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 414.41346875
transcript.pyannote[133].end 416.21909375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 417.23159375
transcript.pyannote[134].end 419.57721875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 421.34909375
transcript.pyannote[135].end 421.87221875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 423.01971875
transcript.pyannote[136].end 425.34846875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 426.25971875
transcript.pyannote[137].end 426.96846875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 426.96846875
transcript.pyannote[138].end 427.18784375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 428.94284375
transcript.pyannote[139].end 429.51659375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 430.07346875
transcript.pyannote[140].end 436.24971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 434.17409375
transcript.pyannote[141].end 439.16909375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 439.96221875
transcript.pyannote[142].end 441.24471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 441.81846875
transcript.pyannote[143].end 446.17221875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 446.17221875
transcript.pyannote[144].end 446.25659375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 446.25659375
transcript.pyannote[145].end 446.27346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 446.64471875
transcript.pyannote[146].end 449.66534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 447.01596875
transcript.pyannote[147].end 447.06659375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 450.71159375
transcript.pyannote[148].end 466.94534375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 464.16096875
transcript.pyannote[149].end 466.96221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 466.96221875
transcript.pyannote[150].end 466.97909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 466.97909375
transcript.pyannote[151].end 467.45159375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 468.91971875
transcript.pyannote[152].end 470.38784375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 470.01659375
transcript.pyannote[153].end 474.18471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 471.48471875
transcript.pyannote[154].end 471.85596875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 471.97409375
transcript.pyannote[155].end 472.04159375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 472.07534375
transcript.pyannote[156].end 478.60596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 479.07846875
transcript.pyannote[157].end 480.42846875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 481.01909375
transcript.pyannote[158].end 482.40284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 482.87534375
transcript.pyannote[159].end 485.33909375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 486.08159375
transcript.pyannote[160].end 490.09784375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 492.98346875
transcript.pyannote[161].end 494.75534375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 495.36284375
transcript.pyannote[162].end 496.66221875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 497.30346875
transcript.pyannote[163].end 500.29034375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 497.47221875
transcript.pyannote[164].end 498.18096875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 499.85159375
transcript.pyannote[165].end 502.04534375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 502.70346875
transcript.pyannote[166].end 505.97721875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 506.28096875
transcript.pyannote[167].end 507.96846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 510.01034375
transcript.pyannote[168].end 511.84971875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 512.64284375
transcript.pyannote[169].end 513.48659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 514.76909375
transcript.pyannote[170].end 516.96284375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 517.55346875
transcript.pyannote[171].end 520.03409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 520.89471875
transcript.pyannote[172].end 521.75534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 522.26159375
transcript.pyannote[173].end 524.67471875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 524.99534375
transcript.pyannote[174].end 526.05846875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 527.64471875
transcript.pyannote[175].end 528.64034375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 529.66971875
transcript.pyannote[176].end 530.26034375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 531.54284375
transcript.pyannote[177].end 532.13346875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 533.70284375
transcript.pyannote[178].end 534.69846875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 536.65596875
transcript.pyannote[179].end 536.97659375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 536.97659375
transcript.pyannote[180].end 537.21284375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 537.21284375
transcript.pyannote[181].end 537.43221875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 537.43221875
transcript.pyannote[182].end 537.44909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 539.79471875
transcript.pyannote[183].end 543.47346875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 544.38471875
transcript.pyannote[184].end 546.03846875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 546.03846875
transcript.pyannote[185].end 546.56159375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 546.56159375
transcript.pyannote[186].end 546.59534375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 546.91596875
transcript.pyannote[187].end 546.93284375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 546.93284375
transcript.pyannote[188].end 549.90284375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 551.05034375
transcript.pyannote[189].end 553.02471875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 554.22284375
transcript.pyannote[190].end 554.81346875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 555.55596875
transcript.pyannote[191].end 557.68221875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 558.39096875
transcript.pyannote[192].end 561.09096875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 562.06971875
transcript.pyannote[193].end 562.57596875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 562.72784375
transcript.pyannote[194].end 563.38596875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 564.11159375
transcript.pyannote[195].end 566.55846875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 566.55846875
transcript.pyannote[196].end 566.57534375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 568.12784375
transcript.pyannote[197].end 572.22846875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 572.71784375
transcript.pyannote[198].end 576.24471875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 575.95784375
transcript.pyannote[199].end 576.17721875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 576.24471875
transcript.pyannote[200].end 576.78471875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 576.78471875
transcript.pyannote[201].end 576.81846875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 578.38784375
transcript.pyannote[202].end 594.35159375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 586.11659375
transcript.pyannote[203].end 586.15034375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 586.15034375
transcript.pyannote[204].end 586.67346875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 586.67346875
transcript.pyannote[205].end 586.74096875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 595.44846875
transcript.pyannote[206].end 598.67159375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 599.14409375
transcript.pyannote[207].end 604.13909375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 600.78096875
transcript.pyannote[208].end 604.00409375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 604.76346875
transcript.pyannote[209].end 607.66596875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 609.08346875
transcript.pyannote[210].end 610.02846875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 610.02846875
transcript.pyannote[211].end 611.05784375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 612.10409375
transcript.pyannote[212].end 612.96471875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 613.63971875
transcript.pyannote[213].end 614.66909375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 615.14159375
transcript.pyannote[214].end 615.93471875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 616.30596875
transcript.pyannote[215].end 618.51659375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 619.76534375
transcript.pyannote[216].end 622.46534375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 620.08596875
transcript.pyannote[217].end 621.57096875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 623.07284375
transcript.pyannote[218].end 626.11034375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 626.71784375
transcript.pyannote[219].end 627.05534375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 631.57784375
transcript.pyannote[220].end 634.96971875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 635.47596875
transcript.pyannote[221].end 635.83034375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 637.16346875
transcript.pyannote[222].end 640.20096875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 640.96034375
transcript.pyannote[223].end 641.26409375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 641.61846875
transcript.pyannote[224].end 643.54221875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 644.01471875
transcript.pyannote[225].end 646.34346875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 646.73159375
transcript.pyannote[226].end 647.05221875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 648.23346875
transcript.pyannote[227].end 652.68846875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 653.24534375
transcript.pyannote[228].end 653.38034375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 654.00471875
transcript.pyannote[229].end 658.71284375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 659.18534375
transcript.pyannote[230].end 660.80534375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 661.61534375
transcript.pyannote[231].end 662.54346875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 663.01596875
transcript.pyannote[232].end 672.60096875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 673.19159375
transcript.pyannote[233].end 675.01409375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 673.86659375
transcript.pyannote[234].end 674.54159375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 675.01409375
transcript.pyannote[235].end 675.03096875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 675.03096875
transcript.pyannote[236].end 675.72284375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 675.72284375
transcript.pyannote[237].end 675.84096875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 675.84096875
transcript.pyannote[238].end 675.97596875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 675.97596875
transcript.pyannote[239].end 676.02659375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 676.02659375
transcript.pyannote[240].end 676.07721875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 676.07721875
transcript.pyannote[241].end 676.12784375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 676.12784375
transcript.pyannote[242].end 691.09596875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 676.38096875
transcript.pyannote[243].end 677.20784375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 683.13096875
transcript.pyannote[244].end 685.07159375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 691.09596875
transcript.pyannote[245].end 696.25971875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 693.76221875
transcript.pyannote[246].end 694.79159375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 695.24721875
transcript.pyannote[247].end 696.22596875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 696.25971875
transcript.pyannote[248].end 697.87971875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 698.70659375
transcript.pyannote[249].end 704.27534375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 704.76471875
transcript.pyannote[250].end 707.07659375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 707.66721875
transcript.pyannote[251].end 708.93284375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 709.92846875
transcript.pyannote[252].end 710.51909375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 710.70471875
transcript.pyannote[253].end 713.26971875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 714.29909375
transcript.pyannote[254].end 717.01596875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 717.62346875
transcript.pyannote[255].end 720.89721875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 721.70721875
transcript.pyannote[256].end 721.99409375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 722.61846875
transcript.pyannote[257].end 726.76971875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 727.52909375
transcript.pyannote[258].end 732.30471875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 732.64221875
transcript.pyannote[259].end 734.58284375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 735.27471875
transcript.pyannote[260].end 736.99596875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 737.56971875
transcript.pyannote[261].end 738.83534375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 739.81409375
transcript.pyannote[262].end 742.34534375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 742.80096875
transcript.pyannote[263].end 744.06659375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 744.45471875
transcript.pyannote[264].end 745.66971875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 746.68221875
transcript.pyannote[265].end 748.48784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 748.82534375
transcript.pyannote[266].end 750.93471875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 751.17096875
transcript.pyannote[267].end 752.72346875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 755.01846875
transcript.pyannote[268].end 756.03096875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 756.97596875
transcript.pyannote[269].end 757.90409375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 771.42096875
transcript.pyannote[270].end 772.77096875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 773.85096875
transcript.pyannote[271].end 775.15034375
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 780.93846875
transcript.pyannote[272].end 785.15721875
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 786.59159375
transcript.pyannote[273].end 787.97534375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 787.97534375
transcript.pyannote[274].end 788.11034375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 789.08909375
transcript.pyannote[275].end 790.94534375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 792.78471875
transcript.pyannote[276].end 793.78034375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 794.11784375
transcript.pyannote[277].end 795.60284375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 796.48034375
transcript.pyannote[278].end 797.72909375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 804.74909375
transcript.pyannote[279].end 806.48721875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 807.24659375
transcript.pyannote[280].end 808.47846875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 808.68096875
transcript.pyannote[281].end 809.81159375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 810.06471875
transcript.pyannote[282].end 811.61721875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 812.05596875
transcript.pyannote[283].end 812.79846875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 812.96721875
transcript.pyannote[284].end 814.67159375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 818.60346875
transcript.pyannote[285].end 819.91971875
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 822.06284375
transcript.pyannote[286].end 823.09221875
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 823.81784375
transcript.pyannote[287].end 823.96971875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 823.96971875
transcript.pyannote[288].end 835.78221875
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 827.80034375
transcript.pyannote[289].end 830.58471875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 830.58471875
transcript.pyannote[290].end 830.61846875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 836.71034375
transcript.pyannote[291].end 838.00971875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 836.81159375
transcript.pyannote[292].end 837.60471875
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 838.31346875
transcript.pyannote[293].end 846.36284375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 842.93721875
transcript.pyannote[294].end 848.47221875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 848.82659375
transcript.pyannote[295].end 854.83409375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 855.03659375
transcript.pyannote[296].end 862.88346875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 859.60971875
transcript.pyannote[297].end 866.96721875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 863.99721875
transcript.pyannote[298].end 868.65471875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 869.81909375
transcript.pyannote[299].end 870.74721875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 872.16471875
transcript.pyannote[300].end 873.16034375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 874.00409375
transcript.pyannote[301].end 875.96159375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 876.55221875
transcript.pyannote[302].end 877.58159375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 878.71221875
transcript.pyannote[303].end 878.79659375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 879.04971875
transcript.pyannote[304].end 879.67409375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 882.62721875
transcript.pyannote[305].end 887.62221875
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 882.82971875
transcript.pyannote[306].end 883.04909375
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 884.38221875
transcript.pyannote[307].end 885.39471875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 888.75284375
transcript.pyannote[308].end 889.90034375
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 890.57534375
transcript.pyannote[309].end 891.43596875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 892.90409375
transcript.pyannote[310].end 893.74784375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 895.63784375
transcript.pyannote[311].end 896.29596875
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 897.66284375
transcript.pyannote[312].end 898.54034375
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 898.60784375
transcript.pyannote[313].end 898.96221875
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 899.53596875
transcript.pyannote[314].end 901.08846875
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 902.94471875
transcript.pyannote[315].end 903.72096875
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 905.35784375
transcript.pyannote[316].end 905.93159375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 906.40409375
transcript.pyannote[317].end 907.72034375
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 909.37409375
transcript.pyannote[318].end 911.19659375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 911.80409375
transcript.pyannote[319].end 913.50846875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 914.77409375
transcript.pyannote[320].end 916.20846875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 917.13659375
transcript.pyannote[321].end 918.40221875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 918.65534375
transcript.pyannote[322].end 920.03909375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 922.01346875
transcript.pyannote[323].end 923.04284375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 923.83596875
transcript.pyannote[324].end 928.94909375
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 930.18096875
transcript.pyannote[325].end 931.32846875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 931.32846875
transcript.pyannote[326].end 931.34534375
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 932.07096875
transcript.pyannote[327].end 932.96534375
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 932.96534375
transcript.pyannote[328].end 933.16784375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 933.84284375
transcript.pyannote[329].end 937.20096875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 938.58471875
transcript.pyannote[330].end 951.08909375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 946.81971875
transcript.pyannote[331].end 949.85721875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 950.24534375
transcript.pyannote[332].end 957.65346875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 951.96659375
transcript.pyannote[333].end 954.56534375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 958.17659375
transcript.pyannote[334].end 960.08346875
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 960.92721875
transcript.pyannote[335].end 968.87534375
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 969.29721875
transcript.pyannote[336].end 971.81159375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 972.63846875
transcript.pyannote[337].end 980.43471875
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 980.97471875
transcript.pyannote[338].end 981.98721875
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 982.42596875
transcript.pyannote[339].end 984.99096875
transcript.whisperx[0].start 3.329
transcript.whisperx[0].end 9.751
transcript.whisperx[0].text 謝謝主席 請部長請部長陳部長陳部長 陳世凱部長部長好賴總統520就職週年蘇花鐵公路三天斷兩次
transcript.whisperx[1].start 29.296
transcript.whisperx[1].end 57.396
transcript.whisperx[1].text 這真的是賴總統在就職一周年帶給花東人民最直接他的成績單這種痛苦指數啊 飆高到無法言喻一個人均GDP三萬五千塊美金的國家竟然連一條能夠平安回家的路都沒有
transcript.whisperx[2].start 60.609
transcript.whisperx[2].end 80.779
transcript.whisperx[2].text 本席在這裡很好奇民進黨政府這九年來到底為花東人做了什麼本席在詢問你們他旁邊不要這樣子吧到現在部長還不了解嗎還需要你指導嗎那他當什麼部長呢我都還沒有問問題你們就開始在講 講什麼從去年0403大地震
transcript.whisperx[3].start 91.513
transcript.whisperx[3].end 119.827
transcript.whisperx[3].text 台八縣做了四條四個民粹道來防止落實到現在為止本席請教部長一下針對台九縣這個要如何回家短中長期的計畫一個月內能不能到花蓮來跟人民做個報告部長
transcript.whisperx[4].start 121.337
transcript.whisperx[4].end 135.213
transcript.whisperx[4].text 報告委員您剛所提到的道路的狀況跟人均GDP有多少不一定有相關去年的4月3號的地震委員也感受很深因為您也在現場
transcript.whisperx[5].start 136.434
transcript.whisperx[5].end 160.47
transcript.whisperx[5].text 那經過了這一年多其實有一千多次的餘震有千餘次的餘震那在那個路段確實也是相對脆弱再加上最近時常有短時強降雨的這個狀況所以有些土石流的狀況所以這個不是說政府不努力做政府有努力做但是這是一個天災天災在造成的結果我們當然要努力來想辦法克服
transcript.whisperx[6].start 160.99
transcript.whisperx[6].end 183.016
transcript.whisperx[6].text 所以跟委員報告這三天斷了兩次沒有錯但是公路局其實相當的努力像昨天下午4點多斷了8點多就馬上搶通我們的鐵路也相當的努力在前天雖然有中斷但我們有用12個小時的時間就已經搶通那今天早上也已經讓所有的車正常在運行
transcript.whisperx[7].start 183.556
transcript.whisperx[7].end 211.009
transcript.whisperx[7].text 其實這個部份交通部都相當努力在做那委員您剛剛所提到的如果是台九線的改善的計畫我們會盡快提供短中長期委員講得非常好短中長期其實都要列出來那一個月左右我們把一個短中長期的計畫跟委員來報告那個主席啊本期今天有讓部長充分發言的所以時間上上請斟酌好不好
transcript.whisperx[8].start 214.162
transcript.whisperx[8].end 242.077
transcript.whisperx[8].text 剛剛部長講得很清楚這個公路總局的人以及鐵路局的這些維修的這些搶救的這些工作人員他們都非常的勤奮都非常的把自己的生命都放在次要而為人民趕快做好搶通道路的工作
transcript.whisperx[9].start 243.328
transcript.whisperx[9].end 272.061
transcript.whisperx[9].text 那個是一線 第一線的工作人員他們做到他們該做的事情本席現在請教的是一個高層的部長 政策指導的部長你做到了什麼不要拿基層的工作人員他的用生命來為人民疏通道路來當作你的遮羞布本席請教的是政府的政策是什麼為什麼要讓第一線的人員要冒著生命的危險
transcript.whisperx[10].start 273.285
transcript.whisperx[10].end 302.806
transcript.whisperx[10].text 你的政策在哪裡本席問的是台八縣要做迷隧道為什麼台九縣到現在為止迷隧道要做幾個要怎麼做易崩塌路段一年一千多次餘震本席不了解嗎那你的應對政策是什麼台鐵就在邊坡旁邊一場大雨路就斷了這已經現在是生活的日常但你身為一個高層你的政策是什麼
transcript.whisperx[11].start 304.208
transcript.whisperx[11].end 331.327
transcript.whisperx[11].text 為什麼要永遠讓基層的這些搶救的工作人員要冒著生命危險這在上位者的失能才讓第一線的人永遠在那裡做這麼危險的一個搶救的工作一個月謝謝部長剛剛講了一個月本席才剛問你一個很簡單明確的本席講了多久
transcript.whisperx[12].start 334.253
transcript.whisperx[12].end 359.16
transcript.whisperx[12].text 講了多久下面該做寒管 該做排水這些都可以去做現在蘇花公路已經是老生常談本席從來在交通委員會沒有去強烈的質疑你的專業性但是你起碼要有協調性
transcript.whisperx[13].start 361.735
transcript.whisperx[13].end 390.627
transcript.whisperx[13].text 要協調性當大家提出了這些民間的痛苦指數以及解決的辦法你起碼要予以尊重把你所有交通部下面的這些主管單位應該來做一個協調本席就照您剛剛說的你們很努力那本席請教一下蘇阿改跟蘇阿安蘇阿安什麼時候要動工
transcript.whisperx[14].start 393.052
transcript.whisperx[14].end 421.793
transcript.whisperx[14].text 更覺得源頭就是蘇安什麼時候要動工蘇安什麼時候要動工報告員目前都還在審議當中在哪裡審議目前在行政院審議當中行政院什麼地方審議在行政院審議當中那個國發會已經送出嘛到了卓榮泰院長辦公室桌上在卓榮泰院長辦公室桌上審議多久了幾個月了
transcript.whisperx[15].start 423.069
transcript.whisperx[15].end 448.726
transcript.whisperx[15].text 目前還在審議當中幾個月嘛到行政院多久了不知道這基本流程怎麼會不曉得呢委員現在還在審議當中對所以本席請教你嘛當然是可以政府的流程是公開的嘛有什麼好懼怕的呢審議流程到哪裡不曉得行政院哪裡行政院誰可以來審議嘛國安會已經送出了嘛您剛剛說的
transcript.whisperx[16].start 450.765
transcript.whisperx[16].end 478.113
transcript.whisperx[16].text 我們需要有協調嘛在這段時間這三天您可以問一下花蓮的鄉親您自己也有搭到啊我們在蘇運整體的計畫也很快速的就啟動三個小時之內就啟動您要到台北也都沒問題啊本席現在請教的你是蘇花安不是本席也有搭到蘇花安我們會加速來演繹本席確實確實自己上網有訂到機票
transcript.whisperx[17].start 479.164
transcript.whisperx[17].end 507.606
transcript.whisperx[17].text 但是到了松山機場因為有更急迫的人有醫院的需要本席昨天晚上把座位讓給他們我也沒有搭所以今天在這裡本席現在再一次請問你蘇安的進度到哪裡在行政院的哪一個哪一個人的辦公桌上我再一次跟委員回答他現在正在行政院審議當中好本席讓你看一下
transcript.whisperx[18].start 510.383
transcript.whisperx[18].end 518.91
transcript.whisperx[18].text 顏色不同且果大不同蘇發改行政院99年2月8號核定100年1月29號動工11個月蘇發案108年12月20號核定到現在還躺在行政院5年5年多了5年5個月了什麼時候要動工
transcript.whisperx[19].start 539.947
transcript.whisperx[19].end 566.355
transcript.whisperx[19].text 講不出來報告委員審議完畢之後我們會加速來動工樹花改已經做好了所有地質調查湧水通通都很清楚第一段做完了第二段是延續的第一段核定11個月動工可行研究第二段現在已經核定了5年多所以不是你的層級可以負責所以你不敢回答是嗎
transcript.whisperx[20].start 568.171
transcript.whisperx[20].end 594.162
transcript.whisperx[20].text 報告委員蘇花安跟蘇花改他的複雜度其實相當的不同內容也相當的不同所以所需要的時間當然也就不一樣你本席就讓你直接就講明就是你不了解所以不了解才講這種外行的話嘛並不是不了解沒有關係啦你外行沒有關係但是所有的工程單位都已經核定了東西不要照部長嘴上你自己鄉中部送出去的
transcript.whisperx[21].start 595.509
transcript.whisperx[21].end 617.616
transcript.whisperx[21].text 你自己交通部都已經送出去你現在再來講很複雜本席說從你這裡從核定開始行政院核定可行行就到現在您剛剛在說的歷程五年那就是因為複雜可行行行政院核定可行行研究核定之後舒華改國民黨政府執政11個月動工內容內容不一樣
transcript.whisperx[22].start 623.117
transcript.whisperx[22].end 652.393
transcript.whisperx[22].text 沒有關係啦 你在狡辯沒有關係啦 本席在這裡只要選前是一張臉 選後是一張臉我們看一下西高鐵 東快鐵2020蔡英文總統參選政策白皮書然後在你任內 在你手上正式跳票
transcript.whisperx[23].start 654.096
transcript.whisperx[23].end 661.964
transcript.whisperx[23].text 選前山盟海市選後你家的市現在也沒有西高鐵東快鐵再過來前瞻計畫花東雙軌在8400億的前瞻裡面收了269億在前瞻最後只用了62億消失了207億
transcript.whisperx[24].start 673.751
transcript.whisperx[24].end 697.371
transcript.whisperx[24].text 高高委員公務預算一樣有支出北京當然支套公務預算不要再狡辯嘛你本來就應該交通部公務預算做的嘛然後你把它納入前瞻8400億說3%用在花蓮8400億的前瞻那請問前瞻為什麼不用在花蓮高高委員這幾年交通部跟中央政府不要再強辯你要把你的協調性拿出來再過來
transcript.whisperx[25].start 698.786
transcript.whisperx[25].end 720.466
transcript.whisperx[25].text 前瞻消失了207億 選前三母海市 選後你家的市花蓮七個危險平交道 納入雙軌從蘇貞昌院長 陳建仁院長 到林佳龍部長 王國才部長因為那是危險平交道 而不是城市的縫合
transcript.whisperx[26].start 722.694
transcript.whisperx[26].end 745.484
transcript.whisperx[26].text 跟嘉義跟宜蘭完全不一樣 那是危險拼交道的解決問題中央行政院院長 交通部部長再三表達由中央納入 由中央概括承受現在你不能說陳金德一句話 整件事情重來這就是選前一張臉 選後一張臉選前三夢海是選後你家的事
transcript.whisperx[27].start 746.721
transcript.whisperx[27].end 758.063
transcript.whisperx[27].text 本席讓你喔 看一看啦到底有沒有良知良能啊 這個政府你看一下昨天花蓮是什麼樣子看看是什麼樣子看看是什麼樣子這樣的路能走嗎這樣的路能走嗎
transcript.whisperx[28].start 781.347
transcript.whisperx[28].end 806.177
transcript.whisperx[28].text 要讓我們公路總局的工作人員多麼的危險上位的人無知無能一線的工作人員多麼危險他們的生命財產他們的生命誰來保護用路人的安全在哪裡這還是一個政府還是一個國家嗎
transcript.whisperx[29].start 807.321
transcript.whisperx[29].end 835.309
transcript.whisperx[29].text 人均經濟三萬五三萬五代表什麼人均經濟三萬五美金代表什麼代表這是一個已開發的國家這種路要叫人走這種路要叫人走委員這是天災第一時間我們公務局天災兩次與人禍該有的防範措施早就該做好早就應該做好報告委員去年的地震您忘了嗎
transcript.whisperx[30].start 836.821
transcript.whisperx[30].end 857.836
transcript.whisperx[30].text 地震很大耶 這樣子的天災 我跟您報告 我是來自於中部中橫在二十幾年前 經過九一到現在二十幾年還沒發生 本席現在告訴你 你該做的事情不是在這裡狡辯是台八本席 開宗明就告訴你 台八線能做的事情 為什麼台九線不好好地去規劃民隧道 都講得這麼清楚
transcript.whisperx[31].start 858.436
transcript.whisperx[31].end 887.367
transcript.whisperx[31].text 本席好好的 再三地 明說我都不是工程的專業我們尊重工程專業 讓他們規劃什麼工程專業本席就是請教工程專業的專家告訴本席的他在這裡狡辯本席再請教一下剛剛幾個部會在講 包括交通部說業務費沒有凍結水電都繳不出來講了很久我一分鐘 講了很久
transcript.whisperx[32].start 888.8
transcript.whisperx[32].end 915.799
transcript.whisperx[32].text 本席請教一下陳士凱部長今天是幾號幾月幾號五月二十一號好立法院什麼時候會期開始什麼時候開始立法院本會期什麼時候開始的日期我沒有記得很清楚二月就已經開始了今天五月二十一號
transcript.whisperx[33].start 917.179
transcript.whisperx[33].end 937.021
transcript.whisperx[33].text 你們三個多月才把解凍案送來你在演哪出啊你們真的有這麼迫切這麼危急水電費繳不出來為什麼不早點送來呢為什麼不早點送來呢這麼簡單的道理你在演哪出啊委員因跟果要講清楚
transcript.whisperx[34].start 938.669
transcript.whisperx[34].end 953.376
transcript.whisperx[34].text 什麼叫因跟果你做你的專業工作就好你覺得應該要解凍你報告就應該送來你不要老是搞一些正式的動作不要在這裡交通部比去年多多少預算你在院會講的多了389億算什麼預算啊多了389億比去年多
transcript.whisperx[35].start 960.97
transcript.whisperx[35].end 984.416
transcript.whisperx[35].text 不要在這裡啊 在演啦 好不好那個 謝謝主席啊 本席還是要跟主席商量一下過去225席立委的時候我們可以問到晚上5、6點 6、7點本委員會10加2 非本委員會10分鐘225席的時候 現在113席4分鐘 5分鐘 有幾地方發生這麼重大的事情我要請這個主席見諒啦 我必須要表達 好不好 謝謝