iVOD / 160685

Field Value
IVOD_ID 160685
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160685
日期 2025-04-25
會議資料.會議代碼 院會-11-3-9
會議資料.會議代碼:str 第11屆第3會期第9次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 9
會議資料.種類 院會
會議資料.標題 第11屆第3會期第9次會議
影片種類 Clip
開始時間 2025-04-25T10:34:52+08:00
結束時間 2025-04-25T10:50:34+08:00
影片長度 00:15:42
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b161887eae65c3926ca8407ebd5b8c89fbec180d4fb51a06734e47bd71ec00634cbb1eeebf50ae7b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 10:34:52 - 10:50:34
會議時間 2025-04-25T09:00:00+08:00
會議名稱 第11屆第3會期第9次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、4月25日上午9時至10時為國是論壇時間。三、4月29日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 3.67596875
transcript.pyannote[0].end 5.90346875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.39284375
transcript.pyannote[1].end 7.65846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.88034375
transcript.pyannote[2].end 18.96471875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 18.96471875
transcript.pyannote[3].end 19.55534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.55534375
transcript.pyannote[4].end 19.57221875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 20.07846875
transcript.pyannote[5].end 21.31034375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 22.10346875
transcript.pyannote[6].end 22.82909375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 23.03159375
transcript.pyannote[7].end 26.72721875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 27.28409375
transcript.pyannote[8].end 30.92909375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 30.96284375
transcript.pyannote[9].end 30.99659375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 31.35096875
transcript.pyannote[10].end 34.54034375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 34.92846875
transcript.pyannote[11].end 38.94471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.94471875
transcript.pyannote[12].end 39.13034375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 39.13034375
transcript.pyannote[13].end 40.80096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 41.42534375
transcript.pyannote[14].end 45.03659375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 45.15471875
transcript.pyannote[15].end 47.23034375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 47.48346875
transcript.pyannote[16].end 50.77409375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 51.21284375
transcript.pyannote[17].end 52.73159375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 52.98471875
transcript.pyannote[18].end 54.52034375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 54.62159375
transcript.pyannote[19].end 55.00971875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 55.21221875
transcript.pyannote[20].end 56.47784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 56.98409375
transcript.pyannote[21].end 58.23284375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 58.80659375
transcript.pyannote[22].end 60.42659375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 61.21971875
transcript.pyannote[23].end 62.78909375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 63.05909375
transcript.pyannote[24].end 64.52721875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 64.91534375
transcript.pyannote[25].end 70.45034375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 70.87221875
transcript.pyannote[26].end 78.48284375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 79.39409375
transcript.pyannote[27].end 83.20784375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 83.88284375
transcript.pyannote[28].end 87.66284375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 87.94971875
transcript.pyannote[29].end 93.41721875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 93.99096875
transcript.pyannote[30].end 94.42971875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 94.75034375
transcript.pyannote[31].end 96.75846875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 98.29409375
transcript.pyannote[32].end 99.40784375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 100.09971875
transcript.pyannote[33].end 102.29346875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 102.64784375
transcript.pyannote[34].end 103.37346875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 104.13284375
transcript.pyannote[35].end 105.34784375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 105.65159375
transcript.pyannote[36].end 107.62596875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 110.05596875
transcript.pyannote[37].end 111.57471875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 111.79409375
transcript.pyannote[38].end 117.26159375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 117.83534375
transcript.pyannote[39].end 119.38784375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 118.57784375
transcript.pyannote[40].end 122.15534375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 121.36221875
transcript.pyannote[41].end 122.69534375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 123.40409375
transcript.pyannote[42].end 125.80034375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 123.64034375
transcript.pyannote[43].end 124.33221875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 126.22221875
transcript.pyannote[44].end 127.43721875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 127.97721875
transcript.pyannote[45].end 130.13721875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 130.60971875
transcript.pyannote[46].end 131.85846875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 132.21284375
transcript.pyannote[47].end 134.27159375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 134.98034375
transcript.pyannote[48].end 136.06034375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 136.53284375
transcript.pyannote[49].end 138.91221875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 139.92471875
transcript.pyannote[50].end 141.59534375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 141.91596875
transcript.pyannote[51].end 143.45159375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 143.62034375
transcript.pyannote[52].end 144.86909375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 145.98284375
transcript.pyannote[53].end 147.53534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 147.73784375
transcript.pyannote[54].end 148.31159375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 148.46346875
transcript.pyannote[55].end 149.03721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 149.03721875
transcript.pyannote[56].end 149.15534375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 149.15534375
transcript.pyannote[57].end 149.27346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 149.91471875
transcript.pyannote[58].end 152.05784375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 150.52221875
transcript.pyannote[59].end 151.34909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 152.69909375
transcript.pyannote[60].end 156.46221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 156.66471875
transcript.pyannote[61].end 168.12284375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 168.39284375
transcript.pyannote[62].end 173.75909375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 172.62846875
transcript.pyannote[63].end 172.96596875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 172.96596875
transcript.pyannote[64].end 173.26971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 173.26971875
transcript.pyannote[65].end 173.35409375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 173.35409375
transcript.pyannote[66].end 173.37096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 173.37096875
transcript.pyannote[67].end 173.50596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 174.24846875
transcript.pyannote[68].end 187.44471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 174.75471875
transcript.pyannote[69].end 174.85596875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 174.85596875
transcript.pyannote[70].end 174.99096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 174.99096875
transcript.pyannote[71].end 175.02471875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 175.02471875
transcript.pyannote[72].end 176.17221875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 177.03284375
transcript.pyannote[73].end 177.89346875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 185.16659375
transcript.pyannote[74].end 186.11159375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 187.44471875
transcript.pyannote[75].end 187.51221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 188.00159375
transcript.pyannote[76].end 188.01846875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 188.01846875
transcript.pyannote[77].end 189.14909375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 189.60471875
transcript.pyannote[78].end 193.78971875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 194.34659375
transcript.pyannote[79].end 196.75971875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 197.31659375
transcript.pyannote[80].end 199.52721875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 199.59471875
transcript.pyannote[81].end 203.49284375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 204.15096875
transcript.pyannote[82].end 210.51284375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 212.03159375
transcript.pyannote[83].end 214.30971875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 214.51221875
transcript.pyannote[84].end 214.59659375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 215.00159375
transcript.pyannote[85].end 216.03096875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 216.03096875
transcript.pyannote[86].end 216.73971875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 217.70159375
transcript.pyannote[87].end 217.71846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 217.71846875
transcript.pyannote[88].end 218.07284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 219.22034375
transcript.pyannote[89].end 219.76034375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 220.11471875
transcript.pyannote[90].end 223.54034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 223.72596875
transcript.pyannote[91].end 224.83971875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 223.82721875
transcript.pyannote[92].end 224.85659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 224.85659375
transcript.pyannote[93].end 224.90721875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 224.90721875
transcript.pyannote[94].end 227.86034375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 225.76784375
transcript.pyannote[95].end 226.86471875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 228.19784375
transcript.pyannote[96].end 230.05409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 230.49284375
transcript.pyannote[97].end 231.45471875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 233.17596875
transcript.pyannote[98].end 234.47534375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 235.77471875
transcript.pyannote[99].end 237.85034375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 238.40721875
transcript.pyannote[100].end 239.57159375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 240.01034375
transcript.pyannote[101].end 241.59659375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 242.13659375
transcript.pyannote[102].end 243.28409375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 243.60471875
transcript.pyannote[103].end 246.30471875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 246.99659375
transcript.pyannote[104].end 250.16909375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 250.96221875
transcript.pyannote[105].end 251.53596875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 252.19409375
transcript.pyannote[106].end 253.10534375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 253.66221875
transcript.pyannote[107].end 254.70846875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 255.18096875
transcript.pyannote[108].end 256.53096875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 257.15534375
transcript.pyannote[109].end 257.88096875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 258.84284375
transcript.pyannote[110].end 261.45846875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 261.52596875
transcript.pyannote[111].end 263.04471875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 264.20909375
transcript.pyannote[112].end 265.77846875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 266.60534375
transcript.pyannote[113].end 267.58409375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 268.25909375
transcript.pyannote[114].end 269.55846875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 270.13221875
transcript.pyannote[115].end 271.51596875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 272.10659375
transcript.pyannote[116].end 275.17784375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 275.73471875
transcript.pyannote[117].end 287.47971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 275.92034375
transcript.pyannote[118].end 276.30846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 288.23909375
transcript.pyannote[119].end 298.83659375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 290.39909375
transcript.pyannote[120].end 291.27659375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 292.05284375
transcript.pyannote[121].end 293.13284375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 294.76971875
transcript.pyannote[122].end 297.67221875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 298.44846875
transcript.pyannote[123].end 304.84409375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 305.97471875
transcript.pyannote[124].end 307.24034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 307.72971875
transcript.pyannote[125].end 308.80971875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 310.05846875
transcript.pyannote[126].end 310.09221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 310.09221875
transcript.pyannote[127].end 315.47534375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 310.21034375
transcript.pyannote[128].end 310.73346875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 311.22284375
transcript.pyannote[129].end 312.42096875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 313.19721875
transcript.pyannote[130].end 313.34909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 313.34909375
transcript.pyannote[131].end 313.60221875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 313.60221875
transcript.pyannote[132].end 313.92284375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 313.92284375
transcript.pyannote[133].end 314.69909375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 314.69909375
transcript.pyannote[134].end 314.71596875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 314.71596875
transcript.pyannote[135].end 315.03659375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 315.03659375
transcript.pyannote[136].end 315.39096875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 315.47534375
transcript.pyannote[137].end 315.50909375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 315.50909375
transcript.pyannote[138].end 315.66096875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 315.66096875
transcript.pyannote[139].end 316.58909375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 317.51721875
transcript.pyannote[140].end 320.99346875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 319.94721875
transcript.pyannote[141].end 321.49971875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 321.73596875
transcript.pyannote[142].end 321.78659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 321.78659375
transcript.pyannote[143].end 321.85409375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 321.85409375
transcript.pyannote[144].end 323.20409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 323.82846875
transcript.pyannote[145].end 325.51596875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 326.24159375
transcript.pyannote[146].end 327.40596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 327.76034375
transcript.pyannote[147].end 328.85721875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 329.48159375
transcript.pyannote[148].end 330.47721875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 331.91159375
transcript.pyannote[149].end 332.89034375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 334.52721875
transcript.pyannote[150].end 335.69159375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 336.95721875
transcript.pyannote[151].end 338.08784375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 339.13409375
transcript.pyannote[152].end 340.97346875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 341.61471875
transcript.pyannote[153].end 343.87596875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 344.29784375
transcript.pyannote[154].end 347.43659375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 348.29721875
transcript.pyannote[155].end 350.33909375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 351.04784375
transcript.pyannote[156].end 352.54971875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 353.32596875
transcript.pyannote[157].end 355.33409375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 355.75596875
transcript.pyannote[158].end 357.89909375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 358.38846875
transcript.pyannote[159].end 359.78909375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 360.76784375
transcript.pyannote[160].end 361.91534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 362.48909375
transcript.pyannote[161].end 362.97846875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 363.31596875
transcript.pyannote[162].end 372.19221875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 369.44159375
transcript.pyannote[163].end 370.92659375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 372.98534375
transcript.pyannote[164].end 377.33909375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 377.55846875
transcript.pyannote[165].end 379.17846875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 380.24159375
transcript.pyannote[166].end 381.86159375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 382.46909375
transcript.pyannote[167].end 385.48971875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 385.82721875
transcript.pyannote[168].end 387.37971875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 387.75096875
transcript.pyannote[169].end 389.45534375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 390.18096875
transcript.pyannote[170].end 392.37471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 390.31596875
transcript.pyannote[171].end 390.61971875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 392.77971875
transcript.pyannote[172].end 393.60659375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 394.58534375
transcript.pyannote[173].end 397.26846875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 396.01971875
transcript.pyannote[174].end 396.99846875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 397.40346875
transcript.pyannote[175].end 401.16659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 401.84159375
transcript.pyannote[176].end 402.83721875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 402.83721875
transcript.pyannote[177].end 402.87096875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 404.38971875
transcript.pyannote[178].end 405.60471875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 406.49909375
transcript.pyannote[179].end 407.44409375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 408.23721875
transcript.pyannote[180].end 409.14846875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 410.58284375
transcript.pyannote[181].end 412.75971875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 413.43471875
transcript.pyannote[182].end 414.17721875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 414.66659375
transcript.pyannote[183].end 416.47221875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 417.70409375
transcript.pyannote[184].end 424.20096875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 424.65659375
transcript.pyannote[185].end 427.13721875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 429.11159375
transcript.pyannote[186].end 432.53721875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 433.27971875
transcript.pyannote[187].end 435.23721875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 436.48596875
transcript.pyannote[188].end 439.16909375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 439.97909375
transcript.pyannote[189].end 442.37534375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 443.57346875
transcript.pyannote[190].end 444.40034375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 445.56471875
transcript.pyannote[191].end 446.05409375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 449.29409375
transcript.pyannote[192].end 450.10409375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 450.59346875
transcript.pyannote[193].end 451.30221875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 454.28909375
transcript.pyannote[194].end 455.28471875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 455.60534375
transcript.pyannote[195].end 456.43221875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 457.29284375
transcript.pyannote[196].end 458.64284375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 459.97596875
transcript.pyannote[197].end 461.66346875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 462.18659375
transcript.pyannote[198].end 464.36346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 466.69221875
transcript.pyannote[199].end 467.38409375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 468.14346875
transcript.pyannote[200].end 470.03346875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 470.03346875
transcript.pyannote[201].end 470.08409375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 470.50596875
transcript.pyannote[202].end 470.55659375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 470.55659375
transcript.pyannote[203].end 472.80096875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 473.84721875
transcript.pyannote[204].end 475.36596875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 475.53471875
transcript.pyannote[205].end 476.29409375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 476.88471875
transcript.pyannote[206].end 479.38221875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 479.43284375
transcript.pyannote[207].end 482.25096875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 481.49159375
transcript.pyannote[208].end 482.77409375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 483.06096875
transcript.pyannote[209].end 485.45721875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 485.96346875
transcript.pyannote[210].end 486.73971875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 487.56659375
transcript.pyannote[211].end 489.57471875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 489.72659375
transcript.pyannote[212].end 490.01346875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 490.18221875
transcript.pyannote[213].end 491.05971875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 491.58284375
transcript.pyannote[214].end 493.03409375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 493.35471875
transcript.pyannote[215].end 495.29534375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 495.43034375
transcript.pyannote[216].end 496.56096875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 496.67909375
transcript.pyannote[217].end 497.57346875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 498.33284375
transcript.pyannote[218].end 499.34534375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 500.22284375
transcript.pyannote[219].end 501.52221875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 501.52221875
transcript.pyannote[220].end 501.53909375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 502.12971875
transcript.pyannote[221].end 503.02409375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 503.02409375
transcript.pyannote[222].end 503.04096875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 503.04096875
transcript.pyannote[223].end 503.14221875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 503.14221875
transcript.pyannote[224].end 503.15909375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 503.44596875
transcript.pyannote[225].end 504.03659375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 504.03659375
transcript.pyannote[226].end 504.44159375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 504.44159375
transcript.pyannote[227].end 504.99846875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 504.99846875
transcript.pyannote[228].end 505.01534375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 506.06159375
transcript.pyannote[229].end 509.62221875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 509.80784375
transcript.pyannote[230].end 513.01409375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 513.41909375
transcript.pyannote[231].end 514.46534375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 515.03909375
transcript.pyannote[232].end 515.73096875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 515.73096875
transcript.pyannote[233].end 515.79846875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 516.28784375
transcript.pyannote[234].end 516.96284375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 516.96284375
transcript.pyannote[235].end 518.02596875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 518.58284375
transcript.pyannote[236].end 523.10534375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 523.88159375
transcript.pyannote[237].end 525.45096875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 525.95721875
transcript.pyannote[238].end 526.83471875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 527.81346875
transcript.pyannote[239].end 529.38284375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 529.46721875
transcript.pyannote[240].end 530.81721875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 531.57659375
transcript.pyannote[241].end 532.43721875
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 533.82096875
transcript.pyannote[242].end 534.58034375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 535.66034375
transcript.pyannote[243].end 537.01034375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 538.32659375
transcript.pyannote[244].end 539.44034375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 540.31784375
transcript.pyannote[245].end 542.88284375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 543.28784375
transcript.pyannote[246].end 543.97971875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 544.85721875
transcript.pyannote[247].end 545.93721875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 546.96659375
transcript.pyannote[248].end 548.89034375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 549.49784375
transcript.pyannote[249].end 550.67909375
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 550.78034375
transcript.pyannote[250].end 552.18096875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 552.53534375
transcript.pyannote[251].end 553.49721875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 553.96971875
transcript.pyannote[252].end 555.28596875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 556.04534375
transcript.pyannote[253].end 556.73721875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 557.78346875
transcript.pyannote[254].end 560.58471875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 561.27659375
transcript.pyannote[255].end 565.63034375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 565.88346875
transcript.pyannote[256].end 567.82409375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 568.34721875
transcript.pyannote[257].end 570.74346875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 571.23284375
transcript.pyannote[258].end 573.32534375
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 572.21159375
transcript.pyannote[259].end 577.62846875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 573.51096875
transcript.pyannote[260].end 574.70909375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 575.04659375
transcript.pyannote[261].end 576.09284375
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 578.06721875
transcript.pyannote[262].end 581.64471875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 582.31971875
transcript.pyannote[263].end 587.16284375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 586.38659375
transcript.pyannote[264].end 588.22596875
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 590.09909375
transcript.pyannote[265].end 591.98909375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 592.42784375
transcript.pyannote[266].end 597.65909375
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 595.58346875
transcript.pyannote[267].end 604.78034375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 605.52284375
transcript.pyannote[268].end 606.72096875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 606.72096875
transcript.pyannote[269].end 613.36971875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 611.34471875
transcript.pyannote[270].end 611.71596875
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 612.67784375
transcript.pyannote[271].end 617.43659375
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 617.90909375
transcript.pyannote[272].end 620.23784375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 620.62596875
transcript.pyannote[273].end 623.69721875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 624.47346875
transcript.pyannote[274].end 630.59909375
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 631.17284375
transcript.pyannote[275].end 633.07971875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 633.07971875
transcript.pyannote[276].end 633.11346875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 633.19784375
transcript.pyannote[277].end 639.76221875
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 634.17659375
transcript.pyannote[278].end 636.50534375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 639.94784375
transcript.pyannote[279].end 645.04409375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 643.67721875
transcript.pyannote[280].end 646.03971875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 646.03971875
transcript.pyannote[281].end 646.42784375
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 646.24221875
transcript.pyannote[282].end 647.72721875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 648.84096875
transcript.pyannote[283].end 650.27534375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 649.70159375
transcript.pyannote[284].end 650.08971875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 650.64659375
transcript.pyannote[285].end 654.83159375
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 651.35534375
transcript.pyannote[286].end 659.92784375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 660.40034375
transcript.pyannote[287].end 662.81346875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 661.63221875
transcript.pyannote[288].end 661.64909375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 661.64909375
transcript.pyannote[289].end 662.72909375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 663.01596875
transcript.pyannote[290].end 666.50909375
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 666.50909375
transcript.pyannote[291].end 671.95971875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 667.69034375
transcript.pyannote[292].end 671.72346875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 672.21284375
transcript.pyannote[293].end 673.74846875
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 674.25471875
transcript.pyannote[294].end 675.36846875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 676.46534375
transcript.pyannote[295].end 677.27534375
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 679.50284375
transcript.pyannote[296].end 680.53221875
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 680.83596875
transcript.pyannote[297].end 682.37159375
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 682.91159375
transcript.pyannote[298].end 683.41784375
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 683.73846875
transcript.pyannote[299].end 684.43034375
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 684.43034375
transcript.pyannote[300].end 684.44721875
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 685.00409375
transcript.pyannote[301].end 685.71284375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 685.71284375
transcript.pyannote[302].end 685.74659375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 687.06284375
transcript.pyannote[303].end 687.80534375
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 687.16409375
transcript.pyannote[304].end 687.26534375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 687.95721875
transcript.pyannote[305].end 688.85159375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 689.86409375
transcript.pyannote[306].end 692.02409375
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 689.91471875
transcript.pyannote[307].end 691.53471875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 692.12534375
transcript.pyannote[308].end 694.25159375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 694.43721875
transcript.pyannote[309].end 696.07409375
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 697.66034375
transcript.pyannote[310].end 698.58846875
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 698.99346875
transcript.pyannote[311].end 700.14096875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 700.95096875
transcript.pyannote[312].end 702.97596875
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 701.79471875
transcript.pyannote[313].end 703.27971875
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 703.71846875
transcript.pyannote[314].end 708.56159375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 708.88221875
transcript.pyannote[315].end 710.43471875
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 710.78909375
transcript.pyannote[316].end 711.78471875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 712.05471875
transcript.pyannote[317].end 715.17659375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 716.72909375
transcript.pyannote[318].end 717.37034375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 717.60659375
transcript.pyannote[319].end 721.60596875
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 722.12909375
transcript.pyannote[320].end 728.50784375
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 722.23034375
transcript.pyannote[321].end 724.17096875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 730.31346875
transcript.pyannote[322].end 732.57471875
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 732.67596875
transcript.pyannote[323].end 733.38471875
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 733.82346875
transcript.pyannote[324].end 742.75034375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 734.02596875
transcript.pyannote[325].end 736.37159375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 740.05034375
transcript.pyannote[326].end 745.65284375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 746.59784375
transcript.pyannote[327].end 750.63096875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 750.69846875
transcript.pyannote[328].end 752.58846875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 753.01034375
transcript.pyannote[329].end 754.19159375
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 754.71471875
transcript.pyannote[330].end 756.79034375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 756.79034375
transcript.pyannote[331].end 760.26659375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 756.80721875
transcript.pyannote[332].end 757.36409375
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 759.45659375
transcript.pyannote[333].end 760.24971875
transcript.pyannote[334].speaker SPEAKER_03
transcript.pyannote[334].start 760.26659375
transcript.pyannote[334].end 760.31721875
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 760.31721875
transcript.pyannote[335].end 765.37971875
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 763.11846875
transcript.pyannote[336].end 763.54034375
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 763.54034375
transcript.pyannote[337].end 763.74284375
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 764.48534375
transcript.pyannote[338].end 764.55284375
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 764.55284375
transcript.pyannote[339].end 767.43846875
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 765.44721875
transcript.pyannote[340].end 767.25284375
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 767.75909375
transcript.pyannote[341].end 772.01159375
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 767.99534375
transcript.pyannote[342].end 768.04596875
transcript.pyannote[343].speaker SPEAKER_03
transcript.pyannote[343].start 768.04596875
transcript.pyannote[343].end 768.34971875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 768.34971875
transcript.pyannote[344].end 768.58596875
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 769.31159375
transcript.pyannote[345].end 769.39596875
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 772.55159375
transcript.pyannote[346].end 777.04034375
transcript.pyannote[347].speaker SPEAKER_03
transcript.pyannote[347].start 774.79596875
transcript.pyannote[347].end 776.24721875
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 776.58471875
transcript.pyannote[348].end 780.44909375
transcript.pyannote[349].speaker SPEAKER_03
transcript.pyannote[349].start 780.90471875
transcript.pyannote[349].end 782.94659375
transcript.pyannote[350].speaker SPEAKER_03
transcript.pyannote[350].start 783.28409375
transcript.pyannote[350].end 784.34721875
transcript.pyannote[351].speaker SPEAKER_03
transcript.pyannote[351].start 785.19096875
transcript.pyannote[351].end 786.11909375
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 786.35534375
transcript.pyannote[352].end 788.19471875
transcript.pyannote[353].speaker SPEAKER_03
transcript.pyannote[353].start 789.78096875
transcript.pyannote[353].end 793.66221875
transcript.pyannote[354].speaker SPEAKER_03
transcript.pyannote[354].start 794.77596875
transcript.pyannote[354].end 795.11346875
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 795.11346875
transcript.pyannote[355].end 795.70409375
transcript.pyannote[356].speaker SPEAKER_03
transcript.pyannote[356].start 795.70409375
transcript.pyannote[356].end 797.83034375
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 795.72096875
transcript.pyannote[357].end 796.05846875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 798.57284375
transcript.pyannote[358].end 802.11659375
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 802.36971875
transcript.pyannote[359].end 803.38221875
transcript.pyannote[360].speaker SPEAKER_03
transcript.pyannote[360].start 803.65221875
transcript.pyannote[360].end 807.88784375
transcript.pyannote[361].speaker SPEAKER_03
transcript.pyannote[361].start 809.45721875
transcript.pyannote[361].end 810.85784375
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 812.19096875
transcript.pyannote[362].end 817.35471875
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 817.79346875
transcript.pyannote[363].end 821.21909375
transcript.pyannote[364].speaker SPEAKER_02
transcript.pyannote[364].start 821.21909375
transcript.pyannote[364].end 821.59034375
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 821.59034375
transcript.pyannote[365].end 821.72534375
transcript.pyannote[366].speaker SPEAKER_02
transcript.pyannote[366].start 821.72534375
transcript.pyannote[366].end 822.29909375
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 821.74221875
transcript.pyannote[367].end 823.19346875
transcript.pyannote[368].speaker SPEAKER_02
transcript.pyannote[368].start 823.19346875
transcript.pyannote[368].end 823.21034375
transcript.pyannote[369].speaker SPEAKER_02
transcript.pyannote[369].start 823.39596875
transcript.pyannote[369].end 826.46721875
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 825.70784375
transcript.pyannote[370].end 826.31534375
transcript.pyannote[371].speaker SPEAKER_02
transcript.pyannote[371].start 826.61909375
transcript.pyannote[371].end 842.56596875
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 826.80471875
transcript.pyannote[372].end 828.17159375
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 833.41971875
transcript.pyannote[373].end 833.84159375
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 840.05159375
transcript.pyannote[374].end 841.57034375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 841.89096875
transcript.pyannote[375].end 842.17784375
transcript.pyannote[376].speaker SPEAKER_02
transcript.pyannote[376].start 842.70096875
transcript.pyannote[376].end 845.70471875
transcript.pyannote[377].speaker SPEAKER_03
transcript.pyannote[377].start 844.60784375
transcript.pyannote[377].end 847.25721875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 848.15159375
transcript.pyannote[378].end 853.04534375
transcript.pyannote[379].speaker SPEAKER_03
transcript.pyannote[379].start 853.43346875
transcript.pyannote[379].end 857.56784375
transcript.pyannote[380].speaker SPEAKER_03
transcript.pyannote[380].start 857.75346875
transcript.pyannote[380].end 859.96409375
transcript.pyannote[381].speaker SPEAKER_03
transcript.pyannote[381].start 860.28471875
transcript.pyannote[381].end 861.87096875
transcript.pyannote[382].speaker SPEAKER_03
transcript.pyannote[382].start 862.22534375
transcript.pyannote[382].end 863.47409375
transcript.pyannote[383].speaker SPEAKER_03
transcript.pyannote[383].start 863.62596875
transcript.pyannote[383].end 864.31784375
transcript.pyannote[384].speaker SPEAKER_03
transcript.pyannote[384].start 865.19534375
transcript.pyannote[384].end 865.85346875
transcript.pyannote[385].speaker SPEAKER_03
transcript.pyannote[385].start 867.96284375
transcript.pyannote[385].end 869.36346875
transcript.pyannote[386].speaker SPEAKER_03
transcript.pyannote[386].start 870.78096875
transcript.pyannote[386].end 871.52346875
transcript.pyannote[387].speaker SPEAKER_03
transcript.pyannote[387].start 872.11409375
transcript.pyannote[387].end 873.56534375
transcript.pyannote[388].speaker SPEAKER_03
transcript.pyannote[388].start 874.74659375
transcript.pyannote[388].end 876.24846875
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 877.53096875
transcript.pyannote[389].end 880.18034375
transcript.pyannote[390].speaker SPEAKER_03
transcript.pyannote[390].start 880.82159375
transcript.pyannote[390].end 881.90159375
transcript.pyannote[391].speaker SPEAKER_03
transcript.pyannote[391].start 882.76221875
transcript.pyannote[391].end 884.61846875
transcript.pyannote[392].speaker SPEAKER_03
transcript.pyannote[392].start 885.54659375
transcript.pyannote[392].end 888.22971875
transcript.pyannote[393].speaker SPEAKER_03
transcript.pyannote[393].start 888.97221875
transcript.pyannote[393].end 891.06471875
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 891.43596875
transcript.pyannote[394].end 892.93784375
transcript.pyannote[395].speaker SPEAKER_03
transcript.pyannote[395].start 893.37659375
transcript.pyannote[395].end 896.36346875
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 896.63346875
transcript.pyannote[396].end 898.40534375
transcript.pyannote[397].speaker SPEAKER_03
transcript.pyannote[397].start 900.46409375
transcript.pyannote[397].end 901.08846875
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 901.71284375
transcript.pyannote[398].end 902.59034375
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 902.80971875
transcript.pyannote[399].end 904.81784375
transcript.pyannote[400].speaker SPEAKER_03
transcript.pyannote[400].start 905.59409375
transcript.pyannote[400].end 906.45471875
transcript.pyannote[401].speaker SPEAKER_03
transcript.pyannote[401].start 907.90596875
transcript.pyannote[401].end 911.26409375
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 910.70721875
transcript.pyannote[402].end 911.33159375
transcript.pyannote[403].speaker SPEAKER_02
transcript.pyannote[403].start 911.36534375
transcript.pyannote[403].end 911.38221875
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 911.44971875
transcript.pyannote[404].end 913.42409375
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 912.91784375
transcript.pyannote[405].end 914.01471875
transcript.pyannote[406].speaker SPEAKER_03
transcript.pyannote[406].start 914.58846875
transcript.pyannote[406].end 915.43221875
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 915.98909375
transcript.pyannote[407].end 917.05221875
transcript.pyannote[408].speaker SPEAKER_03
transcript.pyannote[408].start 917.44034375
transcript.pyannote[408].end 919.24596875
transcript.pyannote[409].speaker SPEAKER_03
transcript.pyannote[409].start 919.70159375
transcript.pyannote[409].end 920.71409375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 921.47346875
transcript.pyannote[410].end 922.33409375
transcript.pyannote[411].speaker SPEAKER_00
transcript.pyannote[411].start 922.33409375
transcript.pyannote[411].end 922.35096875
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 922.97534375
transcript.pyannote[412].end 922.99221875
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 922.99221875
transcript.pyannote[413].end 923.02596875
transcript.pyannote[414].speaker SPEAKER_00
transcript.pyannote[414].start 923.02596875
transcript.pyannote[414].end 923.19471875
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 923.19471875
transcript.pyannote[415].end 923.22846875
transcript.pyannote[416].speaker SPEAKER_00
transcript.pyannote[416].start 923.22846875
transcript.pyannote[416].end 923.58284375
transcript.pyannote[417].speaker SPEAKER_00
transcript.pyannote[417].start 924.66284375
transcript.pyannote[417].end 928.67909375
transcript.pyannote[418].speaker SPEAKER_00
transcript.pyannote[418].start 931.27784375
transcript.pyannote[418].end 936.93096875
transcript.whisperx[0].start 4.157
transcript.whisperx[0].end 7.578
transcript.whisperx[0].text 謝謝院長,麻煩有請卓院長麻煩請卓院長備詢黃委員好院長好面對美國川普的高關稅的政策我們的政府在過去這段時間當中做了很多宣示
transcript.whisperx[1].start 31.451
transcript.whisperx[1].end 56.143
transcript.whisperx[1].text 其中一個非常重要的宣示是針對美國政府所關心中國產品洗產地的問題院長講得非常的好我們要緊盯洗產地設三道防線MIT就是MIT我們要擦亮招牌打齊冒牌我相信這個價值我們大家都非常的支持謝謝但我現在看不懂
transcript.whisperx[2].start 57.023
transcript.whisperx[2].end 83.042
transcript.whisperx[2].text 我看不懂什麼事情我說防止洗產地MIT就是MIT但我們看到的是什麼我們看到的是啊拿台灣納稅人的錢去投資的聯合再生當初拿了30億國家的錢說要扶植我們本土的太陽能產業結果在幹什麼事情啊結果在幹的事情是要幫中國賣太陽能電子啊
transcript.whisperx[3].start 84.119
transcript.whisperx[3].end 101.491
transcript.whisperx[3].text 這個事情我之前已經執行過國發會了國發會主委跟我說他這件事情會去了解清楚他今天請假沒來現在行政院了解的結果是什麼丟人現眼拿台灣納稅人的錢去投資結果台灣國家隊現在變成中國貼牌隊
transcript.whisperx[4].start 110.06
transcript.whisperx[4].end 137.094
transcript.whisperx[4].text 我請副主委向委員報告對 我們已經請聯合再生來拒絕就是說他不會有這樣的行為喔 只要拒絕就好了不是 我們已經善盡我們督導前面拿了30億說要成立台灣的太陽能國家隊結果成為什麼中國太陽能代理商從越南進來標準的洗產地行為啊我再說一次啊拿納稅的錢拿了30億啊
transcript.whisperx[5].start 139.963
transcript.whisperx[5].end 144.57
transcript.whisperx[5].text 成立太陽能國家隊啊口號喊得很好聽啊實際上在幹什麼在賣中國貼牌貨啊院長可以容忍嗎
transcript.whisperx[6].start 149.94
transcript.whisperx[6].end 151.401
transcript.whisperx[6].text 不可以容忍嗎?不可以容忍嗎?不可以容忍嗎?
transcript.whisperx[7].start 174.495
transcript.whisperx[7].end 200.459
transcript.whisperx[7].text 他解決以後不會再犯了他這樣就算了喔他有抵觸現行法律依法律執行他如果拒絕以後不再有這種行為我們就會嚴格的要求以後每一件事情我們再繼續往下看我老實講拿納稅人的錢幹這種事情丟台灣人的臉讓所有台灣的納稅人心寒還不是只有太陽能國家隊幹這種丟臉的事情我們繼續再往下看
transcript.whisperx[8].start 204.195
transcript.whisperx[8].end 230.883
transcript.whisperx[8].text 行政院通令全國公務機關2021年底全面台灣中國製的滋痛產品對不對這沒有錯嘛這公開的資訊嘛現在有貫徹這個指令嗎對有嗎成品當中有含中成分的我們還是一律要禁止的來我們繼續我們繼續往下看啦空話關話不用講太多啦生銳電子
transcript.whisperx[9].start 233.363
transcript.whisperx[9].end 257.674
transcript.whisperx[9].text 鄭文燦的好朋友啊成立什麼安控國家隊啊安控國家隊啊那個時候的招牌是什麼招牌是說啊為台灣的資通信產品把關啊所有的產品已經應用在哪裡台電台鐵桃園機場全部都是什麼關鍵基礎設施啊結果呢
transcript.whisperx[10].start 259.045
transcript.whisperx[10].end 287.119
transcript.whisperx[10].text 結果成立了所謂的安控國家隊淪為一場大笑話為什麼淪為一場大笑話從中國去進監視器改標MIT這絕對不是院長所講的MIT就是MIT這個MIT是中國貼牌貨我們的國防部軍事要塞關鍵基礎的設施全面都淪陷了行政院對這件事情掌握的程度如何說明一下
transcript.whisperx[11].start 288.217
transcript.whisperx[11].end 316.406
transcript.whisperx[11].text 我要求MIT就是MIT是從這一次開始對這件事情掌握的情況怎麼樣我還是說過我們會嚴查當中有不法的情況說過的話就不用說了啦你嘴巴說要嚴查嘛那我現在就問你嘛這件事情掌握的狀況如何來說明一下還是完全沒掌握所以我必須去查到目前為止行政院不知道這件事我手上沒有這家電子公司的資料經濟部知不知道這件事
transcript.whisperx[12].start 318.421
transcript.whisperx[12].end 329.774
transcript.whisperx[12].text 我們回去再瞭解一下國發會知不知道這件事我想我們進一步要瞭解我要跟院長報告的是什麼你的行政團隊螺絲吊滿地這是公開資訊我再強調一次這是公開資訊
transcript.whisperx[13].start 339.178
transcript.whisperx[13].end 359.506
transcript.whisperx[13].text 一個負責任的行政團隊當看到這樣公開資訊的時候如果有把院長您說的話放在心裡面的話早就嚴查徹查下去啦第二個關心的是什麼有多少關鍵基礎設施還在用這種中國的貼牌貨不是早該清查了嗎
transcript.whisperx[14].start 360.816
transcript.whisperx[14].end 389.283
transcript.whisperx[14].text 院長我有說錯嗎沒有錯那問題是清查了沒有如果剛剛您說的那是2021年我們還是概括的承受我們會重新再請表達不是2021年啦剛剛你說是2021年那是2021年作為這個宣示啊這個案子什麼時候查出來的兩個月以前查出來的兩個月以前查出來的如果是昨天查出來的那我會說只有一天的時間不夠兩個月前查出來的
transcript.whisperx[15].start 390.202
transcript.whisperx[15].end 415.86
transcript.whisperx[15].text 站在你左右兩邊的經濟部國發會我會盡快把已經查到的資訊向委員也向社會公開報告來 再往下看依法裁罰了嗎從你剛剛的反應啊我就必須要講絕對沒有罰啦從你剛剛的反應我就知道絕對沒有罰我們的政府非常會做大內卻
transcript.whisperx[16].start 417.762
transcript.whisperx[16].end 445.84
transcript.whisperx[16].text 中國產品來談洗產地最重罰300萬還可以廢紙輸出入許可結果呢當整個政府螺絲吊滿地不僅僅是末端的神經麻痺連中樞神經可能都麻痺了這些東西可以放在我們的關鍵基礎設施喔從機場到台鐵到國防部結果部長不知道
transcript.whisperx[17].start 449.349
transcript.whisperx[17].end 451.251
transcript.whisperx[17].text 全面清查 需要多久這些標案啊 好幾億啊我每一個都查出來了台灣的安控國家隊 現在變成中國的貼牌隊這些案子 我列出來了 全部清查清查需要多久 來 院長給個時間
transcript.whisperx[18].start 473.865
transcript.whisperx[18].end 499.042
transcript.whisperx[18].text 如果委員提供這些案子的資訊包括這些在內我們能夠清楚我相信我在兩個禮拜之內給你兩個禮拜之內我三個問題啦第一個要怎麼處理第二個全面清查完畢第三個這種安控國家隊還從我們前瞻基礎建設去拿補貼去拿補助我再說一次
transcript.whisperx[19].start 500.53
transcript.whisperx[19].end 522.026
transcript.whisperx[19].text 這種劣質的公司拿什麼補助啊全部追回來可不可以我們要看當初申請補助的流程程序若有違法的地方我們會檢討甚至做不必要的處分繼續再往下上一次去年的時候您剛上任我在這邊質詢的時候我給你提了一個非常嚴肅的問題那個嚴肅的問題是發展綠能
transcript.whisperx[20].start 527.824
transcript.whisperx[20].end 556.399
transcript.whisperx[20].text 我們要嚴加打擊不法我百分之百贊成立揚光電蔡英文後援會會長英系的權貴搞得立揚在台南那邊的光電廠現在確認是違法取得的我去年五月的時候請教你啊說這個違法的電業籌設許可要不要撤銷你說你會回去什麼依法處理
transcript.whisperx[21].start 557.83
transcript.whisperx[21].end 581.423
transcript.whisperx[21].text 快一年了,目前處理的進度如何?請說明跟我們報告,這個案子我們有要求台電在法院判決還沒有確定還有本部還沒有核發電業製造之前我們絕對不會...這個是去年的進度啊,你累個非常不久啦現在我只有兩個基本的問題第一個,這個電業重設許可是不是違法取得的?是還是不是?
transcript.whisperx[22].start 583.03
transcript.whisperx[22].end 604.552
transcript.whisperx[22].text 這個部分我們已經有函請台南市政府這邊...所以是台南市政府在包庇嗎?包委員 這個是需要經過一個認定當然嘛 所以你說去年站在你旁邊的院長說要依法處理啊我也給院長時間依法處理啦 處理到現在快一年了
transcript.whisperx[23].start 605.543
transcript.whisperx[23].end 629.859
transcript.whisperx[23].text 一年處理不出來喔委員報委剛剛市長有說過在法院沒有判決之前我們不會再做任何等一下要說明清楚喔現在法院在細數的案子是刑事訴訟程序啊它是有關於有沒有犯罪行為的事情現在我在跟你講的是行政處分的合法性啊行政處分的合法性要不要撤銷行政處分依照行政程序法的規定是誰的權責
transcript.whisperx[24].start 631.189
transcript.whisperx[24].end 644.804
transcript.whisperx[24].text 那不是行政機關的權責嗎給你去調查一年調查不出來其實已經我們目前來講已經是停止他目前的一個升級的一個狀況了那整個你說停止他升級的狀況現在是不是持續在發電
transcript.whisperx[25].start 648.891
transcript.whisperx[25].end 677.114
transcript.whisperx[25].text 是持續來發電對啊但是我們這個違法的廠商你電業求生許可違法取得你還不撤銷你不是包庇什麼是包庇我有說錯嗎沒有支付任何費用啊我有說錯嗎那那個跟委員報告其實我們要依法行政啦當然要依法行政啊所以我才問你嘛這個行政處分等一下等一下這個行政處分是合法還是違法還是你不知道
transcript.whisperx[26].start 679.571
transcript.whisperx[26].end 695.927
transcript.whisperx[26].text 只有三個答案嘛 這個行政處分 合法 違法 我不知道哪一個答案 請說明是否依照系主法院當中的案件判決之後我們會做進一步的處理院長我再跟你講一次啦 刑事訴訟在處理的是什麼
transcript.whisperx[27].start 700.967
transcript.whisperx[27].end 728.305
transcript.whisperx[27].text 在處理的是有沒有犯罪行為的問題啊行政處分合不合法是行政機關的權責啊就是行政程序法的ABC啊我再問一次這個行政處分合法違法還是我不知道一年的喔剛剛趙市長的答覆是我們已經暫停他現在所有的程序了對不起我問A問題 你們在回答B問題啊這個行政處分合法違法還是我不知道
transcript.whisperx[28].start 730.413
transcript.whisperx[28].end 749.894
transcript.whisperx[28].text 行政處分是否有瑕疵現在正在正在調查當中調查一年耶剛剛已經說了 他現在已經暫停了如果他行政 行事處分有出來的話所以呢 現在你們跟全國是全國的公司都一樣行政處分即使有違法我主管機關我還是沒有要撤銷
transcript.whisperx[29].start 750.902
transcript.whisperx[29].end 770.314
transcript.whisperx[29].text 我能幫你拖就幫你拖啊電繼續發啊有這樣搞的來我直接給你看我們沒有拖延的責任沒有拖延從去年到現在還沒拖延喔從去年到今年還沒有拖延喔這不是拖延什麼是拖延這不是拖延什麼是拖延你還敢在這邊狡辯喔
transcript.whisperx[30].start 772.615
transcript.whisperx[30].end 797.7
transcript.whisperx[30].text 其實這個相關的程序我們現在有請台南市政府來做認證你今天代表經濟部站在這裡我就問你最直接的問題這麼簡單行政法的概念可以在這邊混了一年沒有答案來看一下避免農地破碎的小二甲禁令你應該很清楚吧對吧 已經禁止開吧是是是 有三個例外嘛
transcript.whisperx[31].start 798.612
transcript.whisperx[31].end 810.249
transcript.whisperx[31].text 你要符合這三個例外才可以發電業重設許可嗎來請問你到現在還不敢處理的力量是符合哪一個例外的段數說明我給你一年的時間喔
transcript.whisperx[32].start 812.233
transcript.whisperx[32].end 832.837
transcript.whisperx[32].text 我如果昨天問 今天找你要答案可能是我不夠厚道我問你一年你今天如果還沒有答案不要說我沒辦法接受啦革命都沒辦法接受因為這個案子他是在108年喔所以是拿一個但書不要在那邊拖時間嘛所以整個申請的程序到底合不合法
transcript.whisperx[33].start 833.277
transcript.whisperx[33].end 847.076
transcript.whisperx[33].text 我們在113年的7月跟9月都已經有喊請台南市政府來確認台南市政府確認的結果是什麼他目前還沒有回他還沒有回所以真相大白了嘛
transcript.whisperx[34].start 848.188
transcript.whisperx[34].end 865.414
transcript.whisperx[34].text 就真相大白了嘛 你就勇敢講嘛這黃偉哲在包庇嘛黃偉哲在拖延嘛我們中央政府也很無奈啊問了台南市政府問了一年到現在都還沒有答案你就勇敢講嘛 怕什麼怕什麼我直接跟你講前例啊我第一次在當立法委員的時候我在追大創的案子
transcript.whisperx[35].start 878.031
transcript.whisperx[35].end 898.042
transcript.whisperx[35].text 當時的經濟部部長沈榮津怎麼處理事稱明確違法的處分不僅撤銷還禁止他們輸出入行政處分都出來了那個時候我從來沒聽沈榮津講說委員對不起喔我要等到刑事訴訟程序了以後才能夠處理該處理就要處理了啦經濟部可不可以發一個函給台南市政府問你還要拖多久
transcript.whisperx[36].start 908.084
transcript.whisperx[36].end 926.936
transcript.whisperx[36].text 會困難嗎?可不可以發這個行給台南市政府,副本給我可以可以,我們可以再請他處理拖一年喔拖一年喔大家都在看啊是綠營權貴就可以包庇喔要包庇這麼久看不下去啊我們立刻發來好,謝謝黃國昌委員質詢,謝謝卓院長、各部會首長的備詢接下來我們請黃珊珊委員發言請王定宇委員準備
gazette.lineno 802
gazette.blocks[0][0] 黃委員國昌:(10時34分)謝謝院長,麻煩有請卓院長。
gazette.blocks[1][0] 主席:麻煩請卓院長備詢。
gazette.blocks[2][0] 卓院長榮泰:黃委員好。
gazette.blocks[3][0] 黃委員國昌:院長好。面對美國川普的高關稅政策,我們的政府在過去這段時間當中做了很多宣示,其中一個非常重要的宣示是針對美國政府所關心中國產品洗產地的問題,院長講得非常的好:我們要緊盯洗產地,設三道防線,MIT就是MIT,我們要擦亮招牌,打擊冒牌。我相信這個價值,我們大家都非常的支持。
gazette.blocks[4][0] 卓院長榮泰:謝謝。
gazette.blocks[5][0] 黃委員國昌:但我現在看不懂,我看不懂什麼事情?你們說要防止洗產地,MIT就是MIT,但我們看到的是什麼?我們看到的是拿臺灣納稅人的錢去投資的聯合再生,當初拿了30億國家的錢,說要扶植我們本土的太陽能產業,結果在幹什麼事情?結果在幹的事情是要幫中國賣太陽能電池。這個事情我之前已經質詢過國發會,國發會主委跟我說這件事情他會去了解清楚,但他今天請假沒來。請問現在行政院了解的結果是什麼?丟人現眼!拿臺灣納稅人的錢去投資,結果呢?臺灣國家隊現在變成中國貼牌隊!
gazette.blocks[6][0] 卓院長榮泰:請副主委向委員報告。
gazette.blocks[7][0] 高副主任委員仙桂:我們已經請聯合再生來具結,就是它不會有這樣的行為。
gazette.blocks[8][0] 黃委員國昌:只要具結就好了?
gazette.blocks[9][0] 高副主任委員仙桂:不是,我們已經善盡我們督導的責任。
gazette.blocks[10][0] 黃委員國昌:前面拿了30億,說要成立臺灣的太陽能國家隊,結果成為什麼?中國太陽能代理商!從越南進來,這是標準的洗產地行為。我再說一次,拿納稅人的錢拿了30億,成立太陽能國家隊,口號喊得很好聽,實際上在幹什麼?在賣中國貼牌貨!院長,可以容忍嗎?
gazette.blocks[11][0] 卓院長榮泰:不可以。
gazette.blocks[12][0] 黃委員國昌:不可以容忍!
gazette.blocks[13][0] 卓院長榮泰:跟委員報告,未來在國際貿易秩序重整的過程當中,洗產地這個狀況、貼標籤這個狀況,或是產品當中有含中成分這個狀況,在世界上,尤其在美國市場上會遭到很大的阻礙,我們必須做自我的管理,過去如果有這樣的行為,我們已經要求嚴查;如果它具結,未來……
gazette.blocks[14][0] 黃委員國昌:嚴查以後呢?如果它切結後又再犯了呢?這樣就算了嗎?
gazette.blocks[15][0] 卓院長榮泰:如果它有牴觸現行法律,依法律執行;如果具結以後不再有這種行為,我們就會嚴格的要求,以後每一件事……
gazette.blocks[16][0] 黃委員國昌:老實講,拿納稅人的錢幹這種事情,是丟臺灣人的臉,讓所有臺灣納稅人心寒,還不是只有太陽能國家隊幹這種丟臉的事情。我們再繼續往下看,行政院通令全國公務機關2021年底全面汰換中國製的資通產品,對不對?這沒有錯嘛!這是公開的資訊嘛!
gazette.blocks[17][0] 卓院長榮泰:是。
gazette.blocks[18][0] 黃委員國昌:現在有貫徹這個指令嗎?有嗎?
gazette.blocks[19][0] 卓院長榮泰:成品當中有含中成分的,我們還是一律要禁止的,如果因為某些部位……
gazette.blocks[20][0] 黃委員國昌:我們繼續往下看,空話、官話不用講太多,昇銳電子,是鄭文燦的好朋友;成立了所謂的安控國家隊,安控國家隊那個時候的招牌是什麼?它的招牌是,為臺灣的資通訊產品把關。而它所有的產品已經應用在哪裡呢?包括台電、臺鐵、桃園機場全部都是什麼?關鍵基礎設施!結果呢?結果成立了所謂的安控國家隊,淪為一場大笑話,為什麼淪為一場大笑話?從中國進口監視器改標MIT,這絕對不是院長所講的MIT就是MIT。這個MIT是中國貼牌貨,我們的國防部軍事要塞、關鍵基礎設施,全面都淪陷了,行政院對這件事情掌握的程度如何?請說明一下。
gazette.blocks[21][0] 卓院長榮泰:我要求MIT就是MIT,是從這一次開始……
gazette.blocks[22][0] 黃委員國昌:是,所以對這件事情掌握的情況是怎麼樣?
gazette.blocks[23][0] 卓院長榮泰:針對過去我還是有說過,我們會嚴查,當中有不法的情況,依現行的法律來做處理……
gazette.blocks[24][0] 黃委員國昌:說過的話就不用說了,你嘴巴說要嚴查,那我現在就問你嘛!這件事情掌握的狀況如何?你來說明一下,還是完全沒掌握?
gazette.blocks[25][0] 卓院長榮泰:這個我必須去查。
gazette.blocks[26][0] 黃委員國昌:到目前為止,行政院不知道這件事?
gazette.blocks[27][0] 卓院長榮泰:我手上沒有這一家電子公司的資料。
gazette.blocks[28][0] 黃委員國昌:我問一下,經濟部知不知道這件事?
gazette.blocks[29][0] 何次長晉滄:報告委員,我們回去再了解一下。
gazette.blocks[30][0] 黃委員國昌:國發會知不知道這件事?
gazette.blocks[31][0] 高副主任委員仙桂:我想我們要進一步了解。
gazette.blocks[32][0] 黃委員國昌:我要跟院長報告的是什麼?你的行政團隊螺絲掉滿地,這是公開資訊,這是公開資訊,我再強調一次,這是公開資訊,當一個負責任的行政團隊看到這樣的公開資訊時,如果有把院長您說的話放在心裡面的話,早就嚴查、徹查下去了!第二個關心的是什麼?對於有多少關鍵基礎設施還在用這種中國的貼牌貨,不是早該清查了嗎?院長,我有說錯嗎?
gazette.blocks[33][0] 卓院長榮泰:沒有錯。
gazette.blocks[34][0] 黃委員國昌:那問題是清查了沒有?
gazette.blocks[35][0] 卓院長榮泰:如果剛剛您說的那是2021年,我們還是概括的承受,我們會重新開啟調查。
gazette.blocks[36][0] 黃委員國昌:這不是2021年啦!
gazette.blocks[37][0] 卓院長榮泰:剛剛你說是2021年。
gazette.blocks[38][0] 黃委員國昌:那是在2021年做了這個宣示,這個案子是什麼時候查出來的?是在2個月以前查出來的,在2個月以前查出來的,如果是昨天查出來的,那我會說只有1天的時間不夠,可是這是在2個月以前查出來的,站在你左右兩邊的經濟部、國發會毫無所知喔?
gazette.blocks[39][0] 卓院長榮泰:我會儘快把已經查到的資訊向委員、也向社會公開報告。
gazette.blocks[40][0] 黃委員國昌:來,再往下看,依法裁罰了嗎?從你剛剛的反應,我就必須要講絕對沒有罰啦!從你剛剛的反應,我就知道絕對沒有罰啊!我們的政府非常會做大內宣,中國產品來臺洗產地,最重罰300萬,還可以廢止輸出入許可,結果呢?當整個政府螺絲掉滿地,不僅僅是末端的神經麻痺,連中樞神經可能都麻痺了,這些東西可以放在我們的關鍵基礎設施喔?從機場、到臺鐵、到國防部,結果部長不知道!全面清查需要多久的時間?這些標案的金額都好幾億,我每一個都查出來了!臺灣的安控國家隊現在變成中國的貼牌隊,這些案子我列出來了,全部清查需要多久?來,院長給一個時間。
gazette.blocks[41][0] 卓院長榮泰:委員提供這些案子的資訊,包括這些在內,我們能夠清楚,我相信我在2個禮拜之內給委員一個答復。
gazette.blocks[42][0] 黃委員國昌:在2個禮拜之內。
gazette.blocks[43][0] 卓院長榮泰:好。
gazette.blocks[44][0] 黃委員國昌:我提三個問題,第一個是要怎麼處理,第二個是全面清查完畢,然後第三個是這種安控國家隊還從我們前瞻基礎建設去拿補貼、去拿補助,我再說一次,這種劣質的公司拿什麼補助啊?要全部追回來,可不可以?
gazette.blocks[45][0] 卓院長榮泰:我們要看當初申請補助的流程、程序,如果有違法的地方,我們會檢討,甚至做一個必要的處分。
gazette.blocks[46][0] 黃委員國昌:繼續再往下,上一次在去年您剛上任的時候,我在這邊質詢時有跟你提了一個非常嚴肅的問題,那個嚴肅的問題是在發展綠能時我們要嚴加打擊不法,我百分之百贊成。像力暘光電,蔡英文後援會會長、英系的權貴在臺南那邊搞的力暘光電廠,現在確認是違法取得電業籌設許可,我在去年5月的時候請教你這個違法的電業籌設許可要不要撤銷,你說你會回去依法處理,快1年了,目前處理的進度如何?請說明。
gazette.blocks[47][0] 何次長晉滄:跟委員報告,這個案子我們有要求台電在法院判決還沒有確定還有本部還沒有核發電業執照之前,我們絕對不會……
gazette.blocks[48][0] 黃委員國昌:這個是去年的進度,你lag非常的久啦!現在我只有兩個基本的問題,第一個,這個電業籌設許可是不是違法取得的?是還是不是?
gazette.blocks[49][0] 何次長晉滄:這個部分我們已經有函請臺南市政府這邊去認定……
gazette.blocks[50][0] 黃委員國昌:所以是臺南市政府在包庇嗎?所以是臺南市政府在包庇嗎?
gazette.blocks[51][0] 何次長晉滄:報告委員,這個是需要經過一個認定,就是它當初申請的程序……
gazette.blocks[52][0] 黃委員國昌:當然嘛!站在你旁邊的院長在去年說要依法處理,我也給院長時間依法處理了,處理到現在快一年了,一年處理不出來喔!
gazette.blocks[53][0] 卓院長榮泰:報告委員,剛剛次長有說過,在法院沒有判決之前,我們不會再做任何……但是要等法院的判決……
gazette.blocks[54][0] 黃委員國昌:等一下,要說明清楚,現在法院在繫屬的案子是刑事訴訟程序,是有關於有沒有犯罪行為的事情,現在我在跟你講的是行政處分的合法性,要不要撤銷行政處分,依照行政程序法的規定是誰的權責?不是行政機關的權責嗎?
gazette.blocks[55][0] 何次長晉滄:報告委員,因為這個案件其實已經……
gazette.blocks[56][0] 黃委員國昌:給你去調查一年了還調查不出來?
gazette.blocks[57][0] 何次長晉滄:目前來講,我們已經停止它申請的狀況,整個程序……
gazette.blocks[58][0] 黃委員國昌:對啊!你說停止它申請的狀況,現在是不是持續在發電?
gazette.blocks[59][0] 何次長晉滄:是持續在發電,但是我們沒有支付它任何的電費。
gazette.blocks[60][0] 黃委員國昌:這個違法廠商的電業籌設許可違法取得,你還不撤銷,你不是包庇,什麼是包庇?我有說錯嗎?
gazette.blocks[61][0] 卓院長榮泰:沒有支付任何費用。
gazette.blocks[62][0] 黃委員國昌:我有說錯嗎?
gazette.blocks[63][0] 何次長晉滄:跟委員報告,其實我們要依法行政。
gazette.blocks[64][0] 黃委員國昌:當然要依法行政啊!所以我才問你,這一個行政處分……
gazette.blocks[65][0] 何次長晉滄:所以它任何申請的資料,我們要進一步確認……
gazette.blocks[66][0] 黃委員國昌:等一下!這個行政處分是合法還是違法?還是你不知道?只有三個答案,這個行政處分合法、違法、我不知道,哪一個答案?請說明。全部都在講空話嘛!
gazette.blocks[67][0] 卓院長榮泰:是否會依照,繫屬法院當中的案件判決之後,我們會做進一步的處理。
gazette.blocks[68][0] 黃委員國昌:院長,我再跟你講一次,刑事訴訟在處理的是什麼?
gazette.blocks[69][0] 卓院長榮泰:刑事責任。
gazette.blocks[70][0] 黃委員國昌:在處理的是有沒有犯罪行為的問題,行政處分合不合法是行政機關的權責,這是行政程序法的ABC,我再問一次,這個行政處分合法、違法還是我不知道?一年了。
gazette.blocks[71][0] 卓院長榮泰:剛剛照次長的答復是我們已經暫停它現在所有的程序了,等到法院……
gazette.blocks[72][0] 黃委員國昌:對不起!我問A問題,你在回答B問題,這個行政處分合法、違法還是我不知道?
gazette.blocks[73][0] 卓院長榮泰:行政處分是否有瑕疵,現在正在部裡面……
gazette.blocks[74][0] 黃委員國昌:正在調查當中?調查一年了。
gazette.blocks[75][0] 卓院長榮泰:剛剛已經說了,它現在已經暫停了,如果刑事處分有出來的話,判決出來,我們就……
gazette.blocks[76][0] 黃委員國昌:現在你們跟全國的公司都一樣,行政處分即使有違法,主管機關還是沒有要撤銷,我能幫你拖就幫你拖,電繼續發啊!有這樣搞的喔?來!我直接給你看……
gazette.blocks[77][0] 卓院長榮泰:報告委員,我們沒有拖延的責任和義務。
gazette.blocks[78][0] 黃委員國昌:沒有拖延?從去年到現在還沒拖延喔?
gazette.blocks[79][0] 卓院長榮泰:是沒有對這一家廠商……
gazette.blocks[80][0] 黃委員國昌:從去年到今年還沒有拖延喔?
gazette.blocks[81][0] 卓院長榮泰:沒有對這一家廠商有需要拖延。
gazette.blocks[82][0] 黃委員國昌:這不是拖延,什麼是拖延?
gazette.blocks[83][0] 何次長晉滄:跟委員報告……
gazette.blocks[84][0] 黃委員國昌:還敢在這邊狡辯喔!
gazette.blocks[85][0] 何次長晉滄:其實這個相關的程序,我們現在有請臺南市政府來做認定。
gazette.blocks[86][0] 黃委員國昌:沒關係!你今天代表經濟部站在這裡,我就問你最直接的問題,這麼簡單的行政法概念,可以在這邊混了一年沒有答案。來看一下,避免農地破碎的小二甲禁令,你應該很清楚,對吧?
gazette.blocks[87][0] 卓院長榮泰:我們已經禁止開發。
gazette.blocks[88][0] 黃委員國昌:是,有三個例外,要符合這三個例外才可以發電業籌設許可,請問你到現在還不敢處理的力暘是符合哪一個例外的但書?請說明。我給你一年的時間了,我如果昨天問今天找你要答案,可能是我不夠厚道,我問你一年了,你今天如果還沒有答案,不要說我沒辦法接受,人民都沒辦法接受啊!
gazette.blocks[89][0] 何次長晉滄:跟委員報告,因為這個案子是在108年向臺南市政府申請……
gazette.blocks[90][0] 黃委員國昌:所以是哪一個但書?不要在那邊拖時間嘛!
gazette.blocks[91][0] 何次長晉滄:所以整個申請的程序到底合不合法……
gazette.blocks[92][0] 黃委員國昌:你也不知道?
gazette.blocks[93][0] 何次長晉滄:我們在113年7月及9月都已經有函請臺南市政府來確認它的籌設許可。
gazette.blocks[94][0] 黃委員國昌:臺南市政府確認的結果是什麼?
gazette.blocks[95][0] 何次長晉滄:它目前還沒有回公文。
gazette.blocks[96][0] 黃委員國昌:它還沒有回?好,所以真相大白了,真相大白了嘛!你就勇敢講是黃偉哲在包庇、黃偉哲在拖延,我們中央政府也很無奈,問了臺南市政府問了一年到現在都還沒有答案,你就勇敢講嘛!怕什麼?我直接跟你講前例,我第一次在當立法委員的時候,我在追大創的案子,當時的經濟部部長沈榮津怎麼處理的?事證明確,違法的處分不僅撤銷,還禁止他們輸出入,行政處分都出來了,那個時候我從來沒聽沈榮津講過「委員,對不起,我要等到刑事訴訟程序出來以後才能夠處理」,該處理就要處理了,經濟部可不可以發一個函給臺南市政府詢問還要拖多久?這會困難嗎?可不可以發這個函給臺南市政府,副本給我?
gazette.blocks[97][0] 何次長晉滄:可以、可以。我們可以再請臺南市政府處理。
gazette.blocks[98][0] 黃委員國昌:拖一年喔!拖一年喔!大家都在看啦!是綠營權貴就可以包庇喔?包庇這麼久!看不下去啊!
gazette.blocks[99][0] 卓院長榮泰:我們立刻發函,再跟委員回報。
gazette.blocks[100][0] 主席:謝謝黃國昌委員質詢。謝謝卓院長、各部會首長的備詢。
gazette.blocks[100][1] 接下來我們請黃珊珊委員發言,請王定宇委員準備。
gazette.agenda.page_end 29
gazette.agenda.meet_id 院會-11-3-9
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.page_start 1
gazette.agenda.meetingDate[0] 2025-04-25
gazette.agenda.gazette_id 1143901
gazette.agenda.agenda_lcidc_ids[0] 1143901_00002
gazette.agenda.meet_name 立法院第11屆第3會期第9次會議紀錄
gazette.agenda.content 報告事項
gazette.agenda.agenda_id 1143901_00001