iVOD / 161760

Field Value
IVOD_ID 161760
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161760
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 2025-05-21T12:54:40+08:00
結束時間 2025-05-21T13:04:37+08:00
影片長度 00:09:57
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e381da0d479eb7db3a1f544057dab3c1020ad028569f7f2f7364d18bd4e850e8286ec5ce099167b55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 12:54:40 - 13:04:37
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 2.02221875
transcript.pyannote[0].end 2.07284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.07284375
transcript.pyannote[1].end 2.68034375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 2.68034375
transcript.pyannote[2].end 3.03471875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 3.76034375
transcript.pyannote[3].end 5.19471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 5.59971875
transcript.pyannote[4].end 6.47721875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 6.12284375
transcript.pyannote[5].end 7.75971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 7.77659375
transcript.pyannote[6].end 9.66659375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 16.07909375
transcript.pyannote[7].end 17.39534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 18.05346875
transcript.pyannote[8].end 18.12096875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 19.08284375
transcript.pyannote[9].end 20.02784375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 21.29346875
transcript.pyannote[10].end 23.03159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 24.71909375
transcript.pyannote[11].end 27.52034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 28.34721875
transcript.pyannote[12].end 30.50721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 31.31721875
transcript.pyannote[13].end 32.93721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 34.03409375
transcript.pyannote[14].end 36.16034375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 37.27409375
transcript.pyannote[15].end 37.59471875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 37.98284375
transcript.pyannote[16].end 40.29471875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 41.08784375
transcript.pyannote[17].end 41.93159375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 42.75846875
transcript.pyannote[18].end 44.80034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 45.59346875
transcript.pyannote[19].end 47.31471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 48.02346875
transcript.pyannote[20].end 50.11596875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 50.74034375
transcript.pyannote[21].end 51.92159375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 52.42784375
transcript.pyannote[22].end 53.20409375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 53.79471875
transcript.pyannote[23].end 54.75659375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 56.39346875
transcript.pyannote[24].end 57.82784375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 58.11471875
transcript.pyannote[25].end 59.61659375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 60.61221875
transcript.pyannote[26].end 61.79346875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 62.94096875
transcript.pyannote[27].end 64.64534375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 65.67471875
transcript.pyannote[28].end 67.63221875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 68.32409375
transcript.pyannote[29].end 69.37034375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 70.50096875
transcript.pyannote[30].end 70.99034375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 72.15471875
transcript.pyannote[31].end 72.96471875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 73.09971875
transcript.pyannote[32].end 75.02346875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 75.61409375
transcript.pyannote[33].end 77.36909375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 77.79096875
transcript.pyannote[34].end 80.79471875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 80.96346875
transcript.pyannote[35].end 82.71846875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 83.71409375
transcript.pyannote[36].end 84.70971875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 85.62096875
transcript.pyannote[37].end 87.89909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 88.45596875
transcript.pyannote[38].end 89.77221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 90.78471875
transcript.pyannote[39].end 93.23159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 93.67034375
transcript.pyannote[40].end 96.21846875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 97.01159375
transcript.pyannote[41].end 99.98159375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 100.38659375
transcript.pyannote[42].end 101.97284375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 102.95159375
transcript.pyannote[43].end 104.47034375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 104.77409375
transcript.pyannote[44].end 106.19159375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 106.74846875
transcript.pyannote[45].end 108.16596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 109.33034375
transcript.pyannote[46].end 110.84909375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 111.28784375
transcript.pyannote[47].end 113.81909375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 114.32534375
transcript.pyannote[48].end 115.77659375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 116.75534375
transcript.pyannote[49].end 119.01659375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 119.87721875
transcript.pyannote[50].end 121.63221875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 122.34096875
transcript.pyannote[51].end 122.62784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 122.99909375
transcript.pyannote[52].end 123.82596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 124.75409375
transcript.pyannote[53].end 125.20971875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 125.36159375
transcript.pyannote[54].end 126.64409375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 127.45409375
transcript.pyannote[55].end 129.98534375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 131.09909375
transcript.pyannote[56].end 133.47846875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 134.06909375
transcript.pyannote[57].end 136.97159375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 137.14034375
transcript.pyannote[58].end 139.50284375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 140.48159375
transcript.pyannote[59].end 142.06784375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 143.33346875
transcript.pyannote[60].end 145.91534375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 150.77534375
transcript.pyannote[61].end 152.56409375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 153.76221875
transcript.pyannote[62].end 154.35284375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 155.71971875
transcript.pyannote[63].end 156.49596875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 156.68159375
transcript.pyannote[64].end 157.66034375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 159.26346875
transcript.pyannote[65].end 160.20846875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 160.44471875
transcript.pyannote[66].end 161.32221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 161.92971875
transcript.pyannote[67].end 163.80284375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 164.49471875
transcript.pyannote[68].end 166.78971875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 167.90346875
transcript.pyannote[69].end 169.97909375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 171.68346875
transcript.pyannote[70].end 172.67909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 173.42159375
transcript.pyannote[71].end 178.18034375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 178.55159375
transcript.pyannote[72].end 181.42034375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 181.77471875
transcript.pyannote[73].end 184.27221875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 184.47471875
transcript.pyannote[74].end 184.71096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 184.94721875
transcript.pyannote[75].end 186.51659375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 187.63034375
transcript.pyannote[76].end 188.94659375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 189.46971875
transcript.pyannote[77].end 190.43159375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 190.81971875
transcript.pyannote[78].end 191.79846875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 192.57471875
transcript.pyannote[79].end 193.85721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 194.61659375
transcript.pyannote[80].end 195.98346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 196.43909375
transcript.pyannote[81].end 200.79284375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 201.18096875
transcript.pyannote[82].end 203.62784375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 203.83034375
transcript.pyannote[83].end 205.68659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 203.86409375
transcript.pyannote[84].end 207.49221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 206.90159375
transcript.pyannote[85].end 207.67784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 208.01534375
transcript.pyannote[86].end 212.40284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 214.24221875
transcript.pyannote[87].end 217.06034375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 214.47846875
transcript.pyannote[88].end 215.65971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 217.61721875
transcript.pyannote[89].end 220.30034375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 218.15721875
transcript.pyannote[90].end 223.94534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 220.89096875
transcript.pyannote[91].end 224.41784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 224.19846875
transcript.pyannote[92].end 225.80159375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 225.93659375
transcript.pyannote[93].end 230.10471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 227.23596875
transcript.pyannote[94].end 227.55659375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 230.47596875
transcript.pyannote[95].end 234.55971875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 235.09971875
transcript.pyannote[96].end 237.32721875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 237.41159375
transcript.pyannote[97].end 251.43471875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 238.25534375
transcript.pyannote[98].end 239.21721875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 249.51096875
transcript.pyannote[99].end 249.69659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 250.47284375
transcript.pyannote[100].end 252.54846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 253.74659375
transcript.pyannote[101].end 255.29909375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 255.45096875
transcript.pyannote[102].end 257.35784375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 256.24409375
transcript.pyannote[103].end 257.62784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 258.01596875
transcript.pyannote[104].end 258.89346875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 259.85534375
transcript.pyannote[105].end 262.03221875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 262.70721875
transcript.pyannote[106].end 266.18346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 266.40284375
transcript.pyannote[107].end 270.77346875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 269.91284375
transcript.pyannote[108].end 274.35096875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 270.82409375
transcript.pyannote[109].end 270.85784375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 275.09346875
transcript.pyannote[110].end 277.72596875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 278.02971875
transcript.pyannote[111].end 279.34596875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 280.51034375
transcript.pyannote[112].end 282.80534375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 283.51409375
transcript.pyannote[113].end 287.27721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 287.27721875
transcript.pyannote[114].end 296.96346875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 287.74971875
transcript.pyannote[115].end 288.37409375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 288.99846875
transcript.pyannote[116].end 289.55534375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 290.71971875
transcript.pyannote[117].end 292.03596875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 296.96346875
transcript.pyannote[118].end 297.09846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 297.70596875
transcript.pyannote[119].end 297.73971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 297.73971875
transcript.pyannote[120].end 297.80721875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 297.80721875
transcript.pyannote[121].end 297.97596875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 297.97596875
transcript.pyannote[122].end 302.32971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 298.54971875
transcript.pyannote[123].end 300.81096875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 302.66721875
transcript.pyannote[124].end 304.57409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 305.18159375
transcript.pyannote[125].end 305.55284375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 306.12659375
transcript.pyannote[126].end 308.50596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 308.91096875
transcript.pyannote[127].end 310.36221875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 310.80096875
transcript.pyannote[128].end 312.21846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 312.97784375
transcript.pyannote[129].end 313.33221875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 313.72034375
transcript.pyannote[130].end 315.61034375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 316.28534375
transcript.pyannote[131].end 316.72409375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 318.29346875
transcript.pyannote[132].end 319.59284375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 320.99346875
transcript.pyannote[133].end 324.04784375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 325.65096875
transcript.pyannote[134].end 327.20346875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 329.22846875
transcript.pyannote[135].end 329.63346875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 329.78534375
transcript.pyannote[136].end 330.08909375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 330.54471875
transcript.pyannote[137].end 333.81846875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 334.59471875
transcript.pyannote[138].end 338.18909375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 339.03284375
transcript.pyannote[139].end 341.81721875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 344.01096875
transcript.pyannote[140].end 346.30596875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 346.98096875
transcript.pyannote[141].end 348.17909375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 349.41096875
transcript.pyannote[142].end 350.20409375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 350.67659375
transcript.pyannote[143].end 352.38096875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 352.06034375
transcript.pyannote[144].end 352.76909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 353.32596875
transcript.pyannote[145].end 355.36784375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 355.78971875
transcript.pyannote[146].end 357.71346875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 357.96659375
transcript.pyannote[147].end 360.63284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 361.57784375
transcript.pyannote[148].end 363.14721875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 361.74659375
transcript.pyannote[149].end 365.91471875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 364.51409375
transcript.pyannote[150].end 365.40846875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 365.66159375
transcript.pyannote[151].end 367.61909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 366.80909375
transcript.pyannote[152].end 367.97346875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 367.97346875
transcript.pyannote[153].end 368.37846875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 368.37846875
transcript.pyannote[154].end 380.29221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 368.51346875
transcript.pyannote[155].end 369.98159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 371.65221875
transcript.pyannote[156].end 372.76596875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 379.70159375
transcript.pyannote[157].end 383.12721875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 383.56596875
transcript.pyannote[158].end 389.16846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 388.96596875
transcript.pyannote[159].end 392.91471875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 389.33721875
transcript.pyannote[160].end 390.02909375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 391.14284375
transcript.pyannote[161].end 395.02409375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 393.20159375
transcript.pyannote[162].end 393.69096875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 395.26034375
transcript.pyannote[163].end 398.87159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 399.20909375
transcript.pyannote[164].end 399.24284375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 399.24284375
transcript.pyannote[165].end 402.38159375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 399.34409375
transcript.pyannote[166].end 400.84596875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 402.53346875
transcript.pyannote[167].end 404.42346875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 404.89596875
transcript.pyannote[168].end 410.90346875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 407.84909375
transcript.pyannote[169].end 408.82784375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 410.38034375
transcript.pyannote[170].end 414.93659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 416.25284375
transcript.pyannote[171].end 419.56034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 420.25221875
transcript.pyannote[172].end 422.29409375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 422.47971875
transcript.pyannote[173].end 424.01534375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 422.51346875
transcript.pyannote[174].end 426.61409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 428.55471875
transcript.pyannote[175].end 435.82784375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 433.51596875
transcript.pyannote[176].end 448.31534375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 447.58971875
transcript.pyannote[177].end 451.31909375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 451.50471875
transcript.pyannote[178].end 457.73159375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 453.88409375
transcript.pyannote[179].end 454.50846875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 457.46159375
transcript.pyannote[180].end 461.35971875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 462.05159375
transcript.pyannote[181].end 462.84471875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 463.33409375
transcript.pyannote[182].end 472.04159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 464.29596875
transcript.pyannote[183].end 465.27471875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 466.92846875
transcript.pyannote[184].end 467.82284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 472.76721875
transcript.pyannote[185].end 483.28034375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 483.51659375
transcript.pyannote[186].end 485.82846875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 483.80346875
transcript.pyannote[187].end 484.81596875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 485.82846875
transcript.pyannote[188].end 488.54534375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 488.62971875
transcript.pyannote[189].end 488.73096875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 488.81534375
transcript.pyannote[190].end 488.83221875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 488.86596875
transcript.pyannote[191].end 493.72596875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 494.87346875
transcript.pyannote[192].end 499.42971875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 499.41284375
transcript.pyannote[193].end 502.34909375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 502.75409375
transcript.pyannote[194].end 505.63971875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 506.26409375
transcript.pyannote[195].end 508.22159375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 508.81221875
transcript.pyannote[196].end 510.65159375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 511.17471875
transcript.pyannote[197].end 513.28409375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 513.70596875
transcript.pyannote[198].end 516.16971875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 516.65909375
transcript.pyannote[199].end 517.70534375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 518.09346875
transcript.pyannote[200].end 522.49784375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 523.42596875
transcript.pyannote[201].end 525.07971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 525.48471875
transcript.pyannote[202].end 530.58096875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 530.96909375
transcript.pyannote[203].end 532.60596875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 533.09534375
transcript.pyannote[204].end 535.25534375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 535.59284375
transcript.pyannote[205].end 537.19596875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 537.95534375
transcript.pyannote[206].end 539.10284375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 539.42346875
transcript.pyannote[207].end 541.22909375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 542.02221875
transcript.pyannote[208].end 544.06409375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 544.63784375
transcript.pyannote[209].end 548.14784375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 548.83971875
transcript.pyannote[210].end 550.52721875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 550.67909375
transcript.pyannote[211].end 551.57346875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 552.53534375
transcript.pyannote[212].end 553.21034375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 553.64909375
transcript.pyannote[213].end 555.25221875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 556.48409375
transcript.pyannote[214].end 556.99034375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 557.63159375
transcript.pyannote[215].end 559.99409375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 560.33159375
transcript.pyannote[216].end 562.37346875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 562.72784375
transcript.pyannote[217].end 564.75284375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 565.64721875
transcript.pyannote[218].end 566.57534375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 566.67659375
transcript.pyannote[219].end 568.16159375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 568.38096875
transcript.pyannote[220].end 568.71846875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 568.97159375
transcript.pyannote[221].end 572.16096875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 570.59159375
transcript.pyannote[222].end 575.01284375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 575.26596875
transcript.pyannote[223].end 577.02096875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 577.66221875
transcript.pyannote[224].end 580.39596875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 581.18909375
transcript.pyannote[225].end 582.38721875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 582.38721875
transcript.pyannote[226].end 583.18034375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 583.88909375
transcript.pyannote[227].end 589.00221875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 589.57596875
transcript.pyannote[228].end 591.28034375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 592.14096875
transcript.pyannote[229].end 594.94221875
transcript.whisperx[0].start 2.545
transcript.whisperx[0].end 26.98
transcript.whisperx[0].text 謝謝主席是不是請交通部長請陳部長蘇發部長、工程會主委黃部長、陳主委我們三位部長早沒關係站在一起嘛預算解凍案其實有兩個很重要的時間點一個是黨團協商
transcript.whisperx[1].start 31.343
transcript.whisperx[1].end 59.301
transcript.whisperx[1].text 很可惜黨人協商的時候我們柯總召跟副總召在吵架那很多的不揮的幕僚在後面可以談啊你們有什麼困難有什麼需求可以提出來嘛提出來我們來就可以處理就解凍嘛後來吵架的最後無疾而終送院會去原來是在搞大罷免原來是搞大罷免
transcript.whisperx[2].start 60.766
transcript.whisperx[2].end 89.177
transcript.whisperx[2].text 第二個時間點你們也可以提出解凍行政院就我了解行政院不讓你們來解凍所以各部會說很多錢不夠用了像交通部很多什麼大樓用電只能用到五點半幾點我跟你講你們活該我跟你講你們不提出來你不能去怪這個反對黨對不對但也不見得反對黨
transcript.whisperx[3].start 90.954
transcript.whisperx[3].end 118.131
transcript.whisperx[3].text 執政黨也有提這個凍結案那凍結案這個東西行之有年嘛對不對這不是我們國民黨發明的或是民眾黨發明的民進黨也是一樣啊這凍結案一定有嘛所以我跟三位部長你們了解一下你們有兩個很好的時間點所以你們不能怪我們你也不能在電視上說去怪說很像藍白很像在凍結你們預算
transcript.whisperx[4].start 120.326
transcript.whisperx[4].end 145.616
transcript.whisperx[4].text 當然今天的預算案、解凍案我大概都跟他們協調好了應該放你們過關問題是你們去講話的時候小心一點好不好我們沒有去阻攔你,這個是程序嘛行政程序是這樣走的嘛,是不是黃部長跟主委請回好不好,謝謝
transcript.whisperx[5].start 150.976
transcript.whisperx[5].end 169.645
transcript.whisperx[5].text 剛才那個財化法,那個會計處長張處長提到,因為財化法讓你們很多的錢都經費來源短促不能用,處長行政院主席處也在這裡,跟這什麼關係?
transcript.whisperx[6].start 174.322
transcript.whisperx[6].end 193.627
transcript.whisperx[6].text 稅入稅出中央政府稅入稅出總預算一定是在稅入既有的基礎來編列稅出的預算嘛是不是這樣你當會計當那麼久了嘛那財化法是稅源多出來的是不是超真的嘛
transcript.whisperx[7].start 194.636
transcript.whisperx[7].end 211.422
transcript.whisperx[7].text 但是多出來的錢啊跟你稅入稅出什麼關係你說因為財化法所以造成你錢不夠用你解釋給我聽這會影響的是未來怎麼影響因為當前因為事實上所謂的超收他其實還要還債
transcript.whisperx[8].start 214.655
transcript.whisperx[8].end 234.27
transcript.whisperx[8].text 跟這個沒有關係嘛 還債關你什麼事啊是國家的事 你不要把你交通部看得那麼大 你懂了沒有你還管到全國的財政啊 全國財政是行政院主技術管的 不關你的事你是就你既有的行政院主技術給你的額度裡面
transcript.whisperx[9].start 235.168
transcript.whisperx[9].end 261.683
transcript.whisperx[9].text 你去編列預算嘛 是不是這樣是 是 沒錯我跟你講的話就不對啦沒有啊 問題是當整個行政院錢沒有的時候他會對我們交通部的所有的相關的支出一定也會緊縮那自然我們因為要滿足各地方的需要那如果稅源沒有投收的話怎麼辦蛤 你用電也省了嗎是 我們他的問題是在桶山嘛問題出在桶山嘛 是不是這樣
transcript.whisperx[10].start 263.022
transcript.whisperx[10].end 281.169
transcript.whisperx[10].text 統三你講統三嘛,跟財化法什麼關係啊?沒有,因為那個是委員提案要我們對財化法對我們講做解釋你講話已經超過你的職權了,你瞭解沒有?那是行政院主計處財政部可以講這個話,你怎麼可以講這個話勒?你是交通部的會計處處長
transcript.whisperx[11].start 283.581
transcript.whisperx[11].end 311.792
transcript.whisperx[11].text 你這個講話已經,你是行政院主席長嗎?你不是嘛?是,不代表,可是委員要求我們要回答才有辦法對我們的影響沒有影響啦,稅入一定有多少錢在那裡嘛,你才能編稅出的錢嘛那你超出多少,你用猜的喔?你又不是玄天上帝,也不是技工火火,你會知道你是上帝啊?你會知道超出多少錢嗎?
transcript.whisperx[12].start 313.792
transcript.whisperx[12].end 341.085
transcript.whisperx[12].text 再給你三兆你也不夠啦是不是好處長你請回啦早上那個王美月委員這兩天出了重大車禍部長你這個東西應該就制度上面去檢討嘛你不要一個人75歲的一個老人出了車禍你要把他改到什麼考照改到70歲
transcript.whisperx[13].start 344.079
transcript.whisperx[13].end 359.486
transcript.whisperx[13].text 我也是受害者,那我75歲,那我今天要去考試?沒有道理啊換照機制一直都在好沒關係,如果60歲有一個人發生了重大車禍撞死了十幾個,那你要降低到60歲嗎?
transcript.whisperx[14].start 363.042
transcript.whisperx[14].end 382.796
transcript.whisperx[14].text 我們不是針對單一個案來做決定的你就是為了這個事情啊你去年有提出來嗎 前年有提出來嗎我們其實這已經研議一段時間了沒有道理了啦所以我們會先提出來的原因是因為現在社會大家很關注我們就把我們目前研議的結論先跟社會來做報告跟你講啦 你在應付社會啦 我沒有意見啦
transcript.whisperx[15].start 383.977
transcript.whisperx[15].end 398.074
transcript.whisperx[15].text 問題是你不能把制度這樣朝夕另改你要朝著制度面去走我們過去這個制度已經做十年了這個人神經有沒有問題體力有沒有問題是不是,四肢有沒有問題你就考慮這個嘛
transcript.whisperx[16].start 399.395
transcript.whisperx[16].end 426.234
transcript.whisperx[16].text 你把他趕到75歲我們現在都有納入了那我也是受害者你知道嗎我不是受害者嗎我不會讓您受害我們這個方案你不讓我受害是要協助年長者你以為那個S型可以隨便進去可以隨便出來的有那麼厲害喔那個不容易我們沒有說要考S型沒有考S型那考什麼考長方形還是正方形三個月之後會提出整體的方案再跟委員報告
transcript.whisperx[17].start 428.598
transcript.whisperx[17].end 447.687
transcript.whisperx[17].text 你可以比試,出車禍的原因很多,喝酒精神不濟我們不是為了擔任個案,我們是整體的駕照管理是包含新考照的,包含已經在路上開,但是有一些違規的樣態要回訊的機制也都有然後換照是另外一個,我們總共有三個方向
transcript.whisperx[18].start 449.088
transcript.whisperx[18].end 471.542
transcript.whisperx[18].text 早上在講,剛才在講,我坐在台上,我是受害者我跟你講,一定有很多鄉親出來講話委員如果已經75歲,本來就是到了現行機制該換照的年齡了不是換人喔換駕駛喔你是叫我不要開車那個意思嗎不會,現在很多人換照都很順利
transcript.whisperx[19].start 473.03
transcript.whisperx[19].end 501.889
transcript.whisperx[19].text 我現在八十幾歲啊,人家生性善良啊你要做壞事要去撞人,那沒辦法,那神經有問題你不能把神經病精神病人也統統把他算在裡面啦,是不是這沒有道理嘛我真的不是看個案不過你修這個法,你們稍微小心一點好不好你不要今天出了車禍,明天出了什麼風災什麼人禍就來啦,叫他修叫他修包委員這不是急救張的啦,我們不會做急救張的事情這是制度的整體的改善這次到馬祖去考察
transcript.whisperx[20].start 503.428
transcript.whisperx[20].end 517.12
transcript.whisperx[20].text 這個大家非常辛苦啦,速發部也去了,部長也去了我也感受到你們的誠意好不好我希望大家同心協力因為馬祖是個藍白合作的地方我剛才到內政委會質詢海基會
transcript.whisperx[21].start 523.459
transcript.whisperx[21].end 551.102
transcript.whisperx[21].text 他幾年專門委員每天在罵連江縣政府罵陳雪生委員你們把北竿機場的配套你給我拿出來怎麼樣怎麼樣怎麼樣一直罵我們現在執政的是民進黨執政耶交通部你是執政黨的他應該去喊什麼連江縣地方黨部也好海基會的人怎麼可以去搞這個事吃飽飯閒著沒事做我才問他他吃什麼飯做什麼事連江縣黨部也在罵我們地方黨部
transcript.whisperx[22].start 552.611
transcript.whisperx[22].end 580.342
transcript.whisperx[22].text 你應該叫交通部陳部長下台啊對不對你要找那個何局長下台啊罵我幹什麼很奇怪你覺得我是不是勇往被罵了部長你回答我問題我不曉得他罵什麼沒辦法評論因為我不曉得他罵什麼他罵我鬼混啦說那個什麼黑箱作業幹什麼的是啊你是沒看到啦你的幕僚跟他們講到馬志旺去找出來看看好不好
transcript.whisperx[23].start 581.446
transcript.whisperx[23].end 593.856
transcript.whisperx[23].text 我再去了解一下執政黨的黨員也有執政黨,國有國法,家有家規嘛,有點規矩嘛好不好,我們共同譴責,好不好謝謝你的協助,好不好好,謝謝主席