iVOD / 165189

Field Value
IVOD_ID 165189
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165189
日期 2025-11-07
會議資料.會議代碼 院會-11-4-8
會議資料.會議代碼:str 第11屆第4會期第8次會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 8
會議資料.種類 院會
會議資料.標題 第11屆第4會期第8次會議
影片種類 Clip
開始時間 2025-11-07T15:43:28+08:00
結束時間 2025-11-07T15:54:15+08:00
影片長度 00:10:47
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7b2debd084f055f00af500eef7eaf514da8d1794993bca4437c4dc073b7ad873849987ba386f8b6b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 15:43:28 - 15:54:15
會議時間 2025-11-07T09:00:00+08:00
會議名稱 第11屆第4會期第8次會議(事由:一、同意權之行使事項:本院交通、教育及文化兩委員會報告審查行政院函送國家通訊傳播委員會委員提名名單,蔣榮先為委員並為主任委員,程明修為委員並為副主任委員,黃葳威及羅慧雯均為委員,請同意案。(11月7日上午報告事項後)二、對行政院院長施政報告繼續質詢。(11月7日下午及11日)三、11月7日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 11.25284375
transcript.pyannote[0].end 13.02471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 13.02471875
transcript.pyannote[1].end 14.13846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.69534375
transcript.pyannote[2].end 15.62346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.61909375
transcript.pyannote[3].end 18.42471875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 28.66784375
transcript.pyannote[4].end 31.72221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 33.84846875
transcript.pyannote[5].end 34.77659375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 35.58659375
transcript.pyannote[6].end 35.60346875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 35.60346875
transcript.pyannote[7].end 35.63721875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 35.63721875
transcript.pyannote[8].end 35.68784375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 35.68784375
transcript.pyannote[9].end 35.97471875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 35.73846875
transcript.pyannote[10].end 37.30784375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 37.45971875
transcript.pyannote[11].end 38.20221875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 38.52284375
transcript.pyannote[12].end 42.47159375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 43.61909375
transcript.pyannote[13].end 45.79596875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 47.01096875
transcript.pyannote[14].end 48.98534375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 49.44096875
transcript.pyannote[15].end 52.17471875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 52.59659375
transcript.pyannote[16].end 53.74409375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 54.14909375
transcript.pyannote[17].end 55.02659375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 55.88721875
transcript.pyannote[18].end 58.14846875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 58.38471875
transcript.pyannote[19].end 59.14409375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 60.13971875
transcript.pyannote[20].end 61.18596875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 61.67534375
transcript.pyannote[21].end 61.97909375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 62.38409375
transcript.pyannote[22].end 62.92409375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 63.64971875
transcript.pyannote[23].end 65.48909375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 66.56909375
transcript.pyannote[24].end 68.27346875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 69.25221875
transcript.pyannote[25].end 69.79221875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 70.73721875
transcript.pyannote[26].end 74.51721875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 75.54659375
transcript.pyannote[27].end 78.61784375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 79.03971875
transcript.pyannote[28].end 80.60909375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 81.52034375
transcript.pyannote[29].end 83.02221875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 83.24159375
transcript.pyannote[30].end 85.60409375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 86.14409375
transcript.pyannote[31].end 90.78471875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 91.52721875
transcript.pyannote[32].end 94.00784375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 94.32846875
transcript.pyannote[33].end 97.53471875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 97.77096875
transcript.pyannote[34].end 98.10846875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 99.50909375
transcript.pyannote[35].end 103.72784375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 104.62221875
transcript.pyannote[36].end 109.33034375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 110.61284375
transcript.pyannote[37].end 114.15659375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 114.74721875
transcript.pyannote[38].end 116.97471875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 117.63284375
transcript.pyannote[39].end 118.91534375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 119.40471875
transcript.pyannote[40].end 120.94034375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 121.51409375
transcript.pyannote[41].end 122.57721875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 123.97784375
transcript.pyannote[42].end 125.42909375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 125.74971875
transcript.pyannote[43].end 126.64409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 125.93534375
transcript.pyannote[44].end 129.25971875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 128.66909375
transcript.pyannote[45].end 130.05284375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 130.50846875
transcript.pyannote[46].end 132.39846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 133.59659375
transcript.pyannote[47].end 135.03096875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 134.59221875
transcript.pyannote[48].end 134.99721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 136.43159375
transcript.pyannote[49].end 137.46096875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 137.52846875
transcript.pyannote[50].end 141.81471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 143.33346875
transcript.pyannote[51].end 144.22784375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 144.75096875
transcript.pyannote[52].end 149.91471875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 150.94409375
transcript.pyannote[53].end 152.81721875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 153.03659375
transcript.pyannote[54].end 154.77471875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 155.61846875
transcript.pyannote[55].end 155.93909375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 156.86721875
transcript.pyannote[56].end 157.42409375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 157.71096875
transcript.pyannote[57].end 158.72346875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 159.44909375
transcript.pyannote[58].end 160.02284375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 161.08596875
transcript.pyannote[59].end 163.04346875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 167.24534375
transcript.pyannote[60].end 168.25784375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 169.05096875
transcript.pyannote[61].end 170.89034375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 171.53159375
transcript.pyannote[62].end 172.71284375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 175.14284375
transcript.pyannote[63].end 175.78409375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 176.59409375
transcript.pyannote[64].end 177.67409375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 178.85534375
transcript.pyannote[65].end 180.01971875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 181.42034375
transcript.pyannote[66].end 181.80846875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 182.36534375
transcript.pyannote[67].end 183.52971875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 184.72784375
transcript.pyannote[68].end 185.85846875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 186.11159375
transcript.pyannote[69].end 186.58409375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 189.75659375
transcript.pyannote[70].end 190.51596875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 191.74784375
transcript.pyannote[71].end 193.50284375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 194.61659375
transcript.pyannote[72].end 195.30846875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 195.47721875
transcript.pyannote[73].end 196.82721875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 197.24909375
transcript.pyannote[74].end 198.64971875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 200.72534375
transcript.pyannote[75].end 202.76721875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 204.47159375
transcript.pyannote[76].end 205.36596875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 206.02409375
transcript.pyannote[77].end 206.51346875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 206.86784375
transcript.pyannote[78].end 208.06596875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 210.59721875
transcript.pyannote[79].end 212.62221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 213.34784375
transcript.pyannote[80].end 215.71034375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 215.82846875
transcript.pyannote[81].end 217.73534375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 218.39346875
transcript.pyannote[82].end 219.77721875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 220.14846875
transcript.pyannote[83].end 221.38034375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 222.42659375
transcript.pyannote[84].end 222.88221875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 223.11846875
transcript.pyannote[85].end 225.31221875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 226.07159375
transcript.pyannote[86].end 227.92784375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 229.14284375
transcript.pyannote[87].end 229.98659375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 231.25221875
transcript.pyannote[88].end 231.96096875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 232.11284375
transcript.pyannote[89].end 233.93534375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 234.89721875
transcript.pyannote[90].end 235.89284375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 237.41159375
transcript.pyannote[91].end 240.43221875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 241.22534375
transcript.pyannote[92].end 242.45721875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 242.54159375
transcript.pyannote[93].end 244.41471875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 244.93784375
transcript.pyannote[94].end 247.58721875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 247.80659375
transcript.pyannote[95].end 250.16909375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 250.75971875
transcript.pyannote[96].end 256.29471875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 257.59409375
transcript.pyannote[97].end 259.24784375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 259.65284375
transcript.pyannote[98].end 261.28971875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 262.06596875
transcript.pyannote[99].end 265.89659375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 266.47034375
transcript.pyannote[100].end 267.19596875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 269.10284375
transcript.pyannote[101].end 271.49909375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 272.62971875
transcript.pyannote[102].end 274.46909375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 275.95409375
transcript.pyannote[103].end 276.67971875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 277.77659375
transcript.pyannote[104].end 278.31659375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 279.14346875
transcript.pyannote[105].end 281.10096875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 281.67471875
transcript.pyannote[106].end 282.48471875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 282.87284375
transcript.pyannote[107].end 283.58159375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 284.57721875
transcript.pyannote[108].end 285.67409375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 287.20971875
transcript.pyannote[109].end 294.68534375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 296.22096875
transcript.pyannote[110].end 297.18284375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 297.46971875
transcript.pyannote[111].end 299.19096875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 300.81096875
transcript.pyannote[112].end 303.32534375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 304.59096875
transcript.pyannote[113].end 305.09721875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 305.16471875
transcript.pyannote[114].end 307.35846875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 307.74659375
transcript.pyannote[115].end 309.67034375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 310.05846875
transcript.pyannote[116].end 311.99909375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 313.53471875
transcript.pyannote[117].end 314.56409375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 314.93534375
transcript.pyannote[118].end 315.71159375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 316.85909375
transcript.pyannote[119].end 317.38221875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 318.14159375
transcript.pyannote[120].end 319.10346875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 320.11596875
transcript.pyannote[121].end 322.49534375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 322.68096875
transcript.pyannote[122].end 324.58784375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 325.17846875
transcript.pyannote[123].end 326.78159375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 326.79846875
transcript.pyannote[124].end 328.48596875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 328.85721875
transcript.pyannote[125].end 329.51534375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 330.46034375
transcript.pyannote[126].end 332.23221875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 332.68784375
transcript.pyannote[127].end 334.83096875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 335.99534375
transcript.pyannote[128].end 337.39596875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 338.13846875
transcript.pyannote[129].end 339.55596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 340.28159375
transcript.pyannote[130].end 343.06596875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 343.52159375
transcript.pyannote[131].end 344.77034375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 345.34409375
transcript.pyannote[132].end 349.83284375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 350.45721875
transcript.pyannote[133].end 357.12284375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 357.61221875
transcript.pyannote[134].end 359.60346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 360.29534375
transcript.pyannote[135].end 370.20096875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 364.96971875
transcript.pyannote[136].end 372.93471875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 373.66034375
transcript.pyannote[137].end 373.94721875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 373.96409375
transcript.pyannote[138].end 378.62159375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 374.63909375
transcript.pyannote[139].end 374.77409375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 379.51596875
transcript.pyannote[140].end 384.20721875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 385.01721875
transcript.pyannote[141].end 387.75096875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 388.02096875
transcript.pyannote[142].end 388.64534375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 389.64096875
transcript.pyannote[143].end 393.94409375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 394.48409375
transcript.pyannote[144].end 394.82159375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 395.41221875
transcript.pyannote[145].end 395.74971875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 396.40784375
transcript.pyannote[146].end 398.68596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 399.73221875
transcript.pyannote[147].end 403.81596875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 404.79471875
transcript.pyannote[148].end 412.13534375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 412.45596875
transcript.pyannote[149].end 413.97471875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 413.97471875
transcript.pyannote[150].end 414.21096875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 414.21096875
transcript.pyannote[151].end 414.22784375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 414.54846875
transcript.pyannote[152].end 414.56534375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 414.56534375
transcript.pyannote[153].end 417.19784375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 417.68721875
transcript.pyannote[154].end 421.53471875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 419.34096875
transcript.pyannote[155].end 420.26909375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 422.44596875
transcript.pyannote[156].end 428.95971875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 426.86721875
transcript.pyannote[157].end 427.25534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 429.34784375
transcript.pyannote[158].end 429.97221875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 430.36034375
transcript.pyannote[159].end 432.90846875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 432.97596875
transcript.pyannote[160].end 434.22471875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 434.41034375
transcript.pyannote[161].end 436.41846875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 436.57034375
transcript.pyannote[162].end 446.17221875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 439.43909375
transcript.pyannote[163].end 441.09284375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 445.21034375
transcript.pyannote[164].end 456.17909375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 448.26471875
transcript.pyannote[165].end 448.72034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 449.47971875
transcript.pyannote[166].end 450.40784375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 450.86346875
transcript.pyannote[167].end 451.38659375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 452.48346875
transcript.pyannote[168].end 453.58034375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 456.44909375
transcript.pyannote[169].end 457.34346875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 458.00159375
transcript.pyannote[170].end 458.89596875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 459.46971875
transcript.pyannote[171].end 462.03471875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 462.92909375
transcript.pyannote[172].end 464.68409375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 465.22409375
transcript.pyannote[173].end 470.97846875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 470.97846875
transcript.pyannote[174].end 473.34096875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 473.88096875
transcript.pyannote[175].end 479.34846875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 476.86784375
transcript.pyannote[176].end 479.31471875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 479.34846875
transcript.pyannote[177].end 480.14159375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 480.14159375
transcript.pyannote[178].end 484.32659375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 480.15846875
transcript.pyannote[179].end 481.45784375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 483.44909375
transcript.pyannote[180].end 484.00596875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 484.73159375
transcript.pyannote[181].end 488.35971875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 486.87471875
transcript.pyannote[182].end 486.95909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 488.56221875
transcript.pyannote[183].end 493.25346875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 492.51096875
transcript.pyannote[184].end 492.96659375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 493.25346875
transcript.pyannote[185].end 493.27034375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 493.42221875
transcript.pyannote[186].end 495.16034375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 495.75096875
transcript.pyannote[187].end 498.43409375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 499.49721875
transcript.pyannote[188].end 502.63596875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 503.12534375
transcript.pyannote[189].end 507.14159375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 508.06971875
transcript.pyannote[190].end 510.51659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 511.30971875
transcript.pyannote[191].end 512.20409375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 512.79471875
transcript.pyannote[192].end 519.05534375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 519.22409375
transcript.pyannote[193].end 527.13846875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 527.22284375
transcript.pyannote[194].end 534.20909375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 534.96846875
transcript.pyannote[195].end 535.55909375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 535.93034375
transcript.pyannote[196].end 537.93846875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 539.00159375
transcript.pyannote[197].end 542.08971875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 542.52846875
transcript.pyannote[198].end 544.77284375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 544.85721875
transcript.pyannote[199].end 546.96659375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 546.96659375
transcript.pyannote[200].end 552.01221875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 552.99096875
transcript.pyannote[201].end 555.11721875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 555.37034375
transcript.pyannote[202].end 557.39534375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 557.51346875
transcript.pyannote[203].end 560.87159375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 557.61471875
transcript.pyannote[204].end 559.11659375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 559.94346875
transcript.pyannote[205].end 560.41596875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 560.56784375
transcript.pyannote[206].end 561.14159375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 561.96846875
transcript.pyannote[207].end 565.52909375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 566.18721875
transcript.pyannote[208].end 567.30096875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 567.79034375
transcript.pyannote[209].end 568.70159375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 570.65909375
transcript.pyannote[210].end 571.55346875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 572.16096875
transcript.pyannote[211].end 573.54471875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 573.88221875
transcript.pyannote[212].end 579.28221875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 576.02534375
transcript.pyannote[213].end 578.80971875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 579.97409375
transcript.pyannote[214].end 582.26909375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 583.07909375
transcript.pyannote[215].end 585.77909375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 586.13346875
transcript.pyannote[216].end 587.24721875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 587.24721875
transcript.pyannote[217].end 587.29784375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 587.66909375
transcript.pyannote[218].end 587.68596875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 587.68596875
transcript.pyannote[219].end 587.75346875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 587.75346875
transcript.pyannote[220].end 587.97284375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 587.97284375
transcript.pyannote[221].end 588.02346875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 588.02346875
transcript.pyannote[222].end 588.20909375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 588.20909375
transcript.pyannote[223].end 588.25971875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 589.54221875
transcript.pyannote[224].end 591.39846875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 592.00596875
transcript.pyannote[225].end 601.45596875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 601.45596875
transcript.pyannote[226].end 603.14346875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 603.26159375
transcript.pyannote[227].end 612.77909375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 607.68284375
transcript.pyannote[228].end 607.88534375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 612.13784375
transcript.pyannote[229].end 612.79596875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 612.79596875
transcript.pyannote[230].end 612.94784375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 612.94784375
transcript.pyannote[231].end 615.04034375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 615.73221875
transcript.pyannote[232].end 616.42409375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 616.59284375
transcript.pyannote[233].end 623.93346875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 624.43971875
transcript.pyannote[234].end 625.16534375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 625.24971875
transcript.pyannote[235].end 626.36346875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 626.56596875
transcript.pyannote[236].end 634.07534375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 634.41284375
transcript.pyannote[237].end 635.03721875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 635.42534375
transcript.pyannote[238].end 635.69534375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 635.98221875
transcript.pyannote[239].end 636.03284375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 636.03284375
transcript.pyannote[240].end 636.45471875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 637.11284375
transcript.pyannote[241].end 645.11159375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 637.38284375
transcript.pyannote[242].end 638.07471875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 645.48284375
transcript.pyannote[243].end 646.93409375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 647.30534375
transcript.pyannote[244].end 648.65534375
transcript.whisperx[0].start 11.437
transcript.whisperx[0].end 16.759
transcript.whisperx[0].text 主席我請到院長跟經部長麻煩請委員長 經濟部長備詢感謝老委員 貴委員謝委員好
transcript.whisperx[1].start 36.512
transcript.whisperx[1].end 62.606
transcript.whisperx[1].text 館長 辛苦了你從2005年恢復人的家鄉整棟已經達標了 跟你恭喜但我常常在說 羅總統應該開一個新局 心事度勢全世界坦白說 真要競爭這個競爭包括大塑骨 包括AI 坦白說
transcript.whisperx[2].start 63.683
transcript.whisperx[2].end 89.656
transcript.whisperx[2].text 沒有電就沒有競爭力了尤其這個電的部分過去因為為了要達到離空離歐年的恢復能力加強所以很匆忙的中間來推動這個力量他們說問題是很多但是這第一我是很清楚的概念這跟熱情的倒影台的體制是沒有關係的但是
transcript.whisperx[3].start 91.564
transcript.whisperx[3].end 103.509
transcript.whisperx[3].text 那是有更加高級不凡的議員、分析人員要強烈對折那麼在這個中台的政策,因為如果沒有做一個調整對於我國的競爭力是非常嚴重的挑戰我要請問保長,因為這是你的任務你知不知道全世界太陽能
transcript.whisperx[4].start 117.942
transcript.whisperx[4].end 141.402
transcript.whisperx[4].text 發展的成本 一個空隙大概如何?我們說價錢就好價錢是越來越多啦越來越多啦因為他的成本是逐年在下降台灣沒剩啦 想蓋整個做一個國家你知不知道?做太陽能的部份?我不知道來 我要請教你 你知不知道日本的太陽能能發展多久?對 它比較貴啦
transcript.whisperx[5].start 144.91
transcript.whisperx[5].end 161.638
transcript.whisperx[5].text 對啦 日本是最貴的嘛全世界 除了台灣以外是最貴的一坨貴的你知不知道新台幣2.7元每個人美國的太陽能一坨新台幣1.8元每個人Australia太陽能新台幣一坨1.4元
transcript.whisperx[6].start 175.182
transcript.whisperx[6].end 196.23
transcript.whisperx[6].text 白色太陽營一座一戶至一戶半帝國恢恢靈的家鄉太陽營一座一戶百中東中東日頭較嚴太陽營發展的成本一座四甲半至九甲也是我們的競爭對手印度
transcript.whisperx[7].start 204.54
transcript.whisperx[7].end 226.613
transcript.whisperx[7].text 太陽能喔 一套高格新代表因為我不知道怎麼說 就是說當機是要去推動太陽能這一兩條的三頁不可能不變故 世界的行政嘛後來 我剛才已經有跟你講過過去的發展 因為我們蓋 我很高興聽到福利福生這兩項
transcript.whisperx[8].start 235.246
transcript.whisperx[8].end 252.866
transcript.whisperx[8].text 有機會重啓這就讓我們有兩個負能電廠的時候我們就可以慢慢、好好、更強勇來擴大太陽能的發電跟熱能的發電所以變成老總統跟党議長就變成有這個機會創造歷史的關頭
transcript.whisperx[9].start 257.822
transcript.whisperx[9].end 285.542
transcript.whisperx[9].text 過去 我們對今天 設作一個分析而已過去的太陽能是受到創造政府所推動的一坨五坨 五坨全世界所有的太陽能平均一坨新台幣的一坨半我們五坨 過去啊但是過去那些高雄高鐵 還有碧端 火航的郵輪要查啦
transcript.whisperx[10].start 287.264
transcript.whisperx[10].end 296.47
transcript.whisperx[10].text 我現在是這樣 我經過我跟台電所談過 跟統計所有國營事業所來討論可是 沒錯 如果可以在你的臨來推動台灣歷齡的專行你跟老總統可以推動這個專行重新開啟一片歷齡 太陽齡的新疆那麼讓他們做記載
transcript.whisperx[11].start 316.929
transcript.whisperx[11].end 334.482
transcript.whisperx[11].text 逆應 交給台電 跟相關的公營事業出來的土地 我給你算過了這幾萬公頃裡面 若是交給台電去運作包括兩條高速公路 跟東西方的快速道路啦這所有的 若能好好使用不用跟水庫 水庫面積不大啦 發了不少電啦
transcript.whisperx[12].start 345.407
transcript.whisperx[12].end 368.638
transcript.whisperx[12].text 要出一個替代方案是很簡單的你不要大家對著台南人對著這個五三頭飲水我們的陰泳水灌溉泳水大家貼心吊膽實在是沒必要 柏中你覺得怎麼樣這個您剛才提到高速公路這個部分我們都有跟相關公路有沒關係我不是在跟你說這個嘛我現在在說這飲水大...來來來 我請問議長議長我們今天談到大風洋
transcript.whisperx[13].start 374.1
transcript.whisperx[13].end 386.523
transcript.whisperx[13].text 如果可以在這裡做一個重新開始 我在這裡回頭看保證啦你跟老總統 跟金伯中 你如果願意這樣輸給我我給你保證台灣的太陽能 一度可以在3個月以後 我不要跟你說2個月以後你講是2個月以後啦 好 我跟你講3個月以後 全世界會想整個喔
transcript.whisperx[14].start 400.658
transcript.whisperx[14].end 421.243
transcript.whisperx[14].text 我們從3個來進步到2個半 你覺得你如果這樣做我們所有的競爭力可以提升 北省省外同輩碰撞的壓力就可以降低了 議長你如何看待好 報告委員政府是嚴肅的 不然我就分割過去剉政府的政策 現在我們也在做不不不 我跟你說的 我的意思嘛
transcript.whisperx[15].start 422.506
transcript.whisperx[15].end 437.17
transcript.whisperx[15].text 我告訴你過去的經濟存在這些東西潛入20年不可能廢掉嘛我第二要說的就是說太陽林 台灣因為土地管理 土地困難再來我們初期發開發的成本當然更高你看世界各國初期到現在絕對不一樣第三 我告訴你
transcript.whisperx[16].start 441.431
transcript.whisperx[16].end 449.934
transcript.whisperx[16].text 現在我已經決定 檢討這些正義帝國 民間帝國沒有啦 要說正義嘛 我們現在要講解身份 看這正義是多少嘛就檢討 檢討這些正義帝國 民間帝國我剛才在跟你說 交給專業的 來電的去經營 大規模 去經 我跟你說啦可以講到三個月以後啦
transcript.whisperx[17].start 465.285
transcript.whisperx[17].end 471.387
transcript.whisperx[17].text 你說過去打開市價比我講全世界我所知道的國家打開市價也沒有一度超過兩塊八的啊這開發的 你寒了再進行 你說他想過兩塊八還要這樣兩塊開市呢他早開發才成分比較多啊我們不是要陪你消遣這些嘛
transcript.whisperx[18].start 484.79
transcript.whisperx[18].end 510.424
transcript.whisperx[18].text 所以我贊成委員的說法啦 讓專業去處理包括給人家燃燒 有沒有要重新啓用 給專業來評斷所以我的意思是說 針對太陽燈要有一個新的時刻就是說我們所有 坦白說 以前你金嘛金要促成 所以單價提高工收費 我就說那已經過去了但是那你不可能把它廢除 那有合約的嘛
transcript.whisperx[19].start 511.54
transcript.whisperx[19].end 537.151
transcript.whisperx[19].text 未來可以重新 你就是說用一個現在太陽燈一切身份都講解了連老九五台電的專機去處理太陽燈的發電我只能夠三年跟你保證台灣的太陽燈發電可以降到來三個月全世界現在平均是一顆四個月所以我不知道你會不會對這個政策
transcript.whisperx[20].start 539.076
transcript.whisperx[20].end 562.966
transcript.whisperx[20].text 共同大力來推動這對你們還是一個好的歷史可以留名對台灣的競爭力是可以極度提升的呢可以要求台電降低它所有發電的成本不管是天天天天氣的 煤的 火的都可以降低它的成本 當然是好的事情你把台銅台鹽的土地交給台電去開困本身給你保證兩塊半以下
transcript.whisperx[21].start 570.694
transcript.whisperx[21].end 580.185
transcript.whisperx[21].text 我幫你補正 你可以請補正這剛好全部都是在你的任務過程裡面你研議一下 這樣啦 給你一個月時間研議後分析一個粗暴的答案 這樣可以嗎 有辦法嗎研究多一個重點 你說土地喔
transcript.whisperx[22].start 592.062
transcript.whisperx[22].end 614.689
transcript.whisperx[22].text 研究太陽林講到的三項議案就是有專精的單位不要再給民間大家什麼栗油油 菜油油 什麼油油沒意義啦就對沒油油 沒什麼油油我可以在經濟部台前一句話裡面像綠營 尤其是太陽林未來成本的分析如果像台灣新的太陽林
transcript.whisperx[23].start 615.809
transcript.whisperx[23].end 616.029
transcript.whisperx[23].text 好 沒問題
transcript.whisperx[24].start 637.304
transcript.whisperx[24].end 646.722
transcript.whisperx[24].text 谢谢谢龙介委员质询谢谢卓院长经济部长备询谢委员所取的资料麻烦送到谢委员办公室谢谢谢谢谢龙介委员谢谢