iVOD / 155615

Field Value
影片長度 895
委員名稱 劉建國
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9cb36b9643c5df69cd36c7be689687307dcb16210b9dd917bec2939449debf3c7fdd84d6b9791bcc5ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 4.09784375
transcript.pyannote[0].end 5.49846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 5.80221875
transcript.pyannote[1].end 6.57846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 10.62846875
transcript.pyannote[2].end 11.01659375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 11.48909375
transcript.pyannote[3].end 11.94471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 11.97846875
transcript.pyannote[4].end 14.62784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 14.91471875
transcript.pyannote[5].end 16.34909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 16.70346875
transcript.pyannote[6].end 17.44596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 17.86784375
transcript.pyannote[7].end 19.36971875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 19.53846875
transcript.pyannote[8].end 20.19659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 20.56784375
transcript.pyannote[9].end 21.31034375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 21.74909375
transcript.pyannote[10].end 23.38596875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 23.58846875
transcript.pyannote[11].end 24.44909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 24.92159375
transcript.pyannote[12].end 26.52471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 26.69346875
transcript.pyannote[13].end 28.27971875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 28.78596875
transcript.pyannote[14].end 29.39346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 30.64221875
transcript.pyannote[15].end 30.97971875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 30.89534375
transcript.pyannote[16].end 31.45221875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 31.60409375
transcript.pyannote[17].end 32.88659375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 32.97096875
transcript.pyannote[18].end 33.93284375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 34.70909375
transcript.pyannote[19].end 36.88596875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 36.88596875
transcript.pyannote[20].end 39.46784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 38.20221875
transcript.pyannote[21].end 38.91096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 40.12596875
transcript.pyannote[22].end 42.20159375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 41.00346875
transcript.pyannote[23].end 44.63159375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 43.06221875
transcript.pyannote[24].end 43.60221875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 48.34409375
transcript.pyannote[25].end 49.81221875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 48.81659375
transcript.pyannote[26].end 50.67284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 51.28034375
transcript.pyannote[27].end 54.62159375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 55.83659375
transcript.pyannote[28].end 57.10221875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 57.18659375
transcript.pyannote[29].end 58.53659375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 58.51971875
transcript.pyannote[30].end 58.90784375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 58.53659375
transcript.pyannote[31].end 62.60346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 59.68409375
transcript.pyannote[32].end 59.97096875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 63.36284375
transcript.pyannote[33].end 64.39221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 64.66221875
transcript.pyannote[34].end 65.79284375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 65.89409375
transcript.pyannote[35].end 65.91096875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 65.91096875
transcript.pyannote[36].end 66.41721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 66.19784375
transcript.pyannote[37].end 66.90659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 67.59846875
transcript.pyannote[38].end 68.66159375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 69.38721875
transcript.pyannote[39].end 70.21409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 70.87221875
transcript.pyannote[40].end 71.95221875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 72.69471875
transcript.pyannote[41].end 74.07846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 74.73659375
transcript.pyannote[42].end 75.51284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 76.03596875
transcript.pyannote[43].end 78.60096875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 78.85409375
transcript.pyannote[44].end 80.94659375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 81.28409375
transcript.pyannote[45].end 86.56596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 87.03846875
transcript.pyannote[46].end 90.21096875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 91.79721875
transcript.pyannote[47].end 92.33721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 93.72096875
transcript.pyannote[48].end 98.32784375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 99.59346875
transcript.pyannote[49].end 100.60596875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 100.09971875
transcript.pyannote[50].end 104.48721875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 102.15846875
transcript.pyannote[51].end 102.41159375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 104.55471875
transcript.pyannote[52].end 106.73159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 106.88346875
transcript.pyannote[53].end 108.80721875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 109.41471875
transcript.pyannote[54].end 109.71846875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 109.71846875
transcript.pyannote[55].end 109.83659375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 109.83659375
transcript.pyannote[56].end 109.97159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 109.97159375
transcript.pyannote[57].end 110.20784375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 110.20784375
transcript.pyannote[58].end 110.39346875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 110.39346875
transcript.pyannote[59].end 110.41034375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 110.41034375
transcript.pyannote[60].end 110.51159375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 110.51159375
transcript.pyannote[61].end 110.79846875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 110.79846875
transcript.pyannote[62].end 110.96721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 110.96721875
transcript.pyannote[63].end 113.32971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 113.76846875
transcript.pyannote[64].end 116.80596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 116.46846875
transcript.pyannote[65].end 120.67034375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 119.20221875
transcript.pyannote[66].end 119.21909375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 119.23596875
transcript.pyannote[67].end 119.35409375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 119.37096875
transcript.pyannote[68].end 119.52284375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 119.52284375
transcript.pyannote[69].end 120.29909375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 121.29471875
transcript.pyannote[70].end 121.34534375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 121.34534375
transcript.pyannote[71].end 121.51409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 122.37471875
transcript.pyannote[72].end 122.39159375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 122.39159375
transcript.pyannote[73].end 123.31971875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 124.63596875
transcript.pyannote[74].end 127.47096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 127.90971875
transcript.pyannote[75].end 130.98096875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 134.06909375
transcript.pyannote[76].end 137.49471875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 138.49034375
transcript.pyannote[77].end 139.87409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 140.43096875
transcript.pyannote[78].end 140.56596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 140.56596875
transcript.pyannote[79].end 140.58284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 140.58284375
transcript.pyannote[80].end 140.59971875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 140.59971875
transcript.pyannote[81].end 141.56159375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 141.32534375
transcript.pyannote[82].end 141.56159375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 141.56159375
transcript.pyannote[83].end 141.89909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 141.89909375
transcript.pyannote[84].end 141.96659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 141.96659375
transcript.pyannote[85].end 141.98346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 142.03409375
transcript.pyannote[86].end 142.94534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 142.60784375
transcript.pyannote[87].end 142.67534375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 142.67534375
transcript.pyannote[88].end 143.35034375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 144.58221875
transcript.pyannote[89].end 152.36159375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 152.91846875
transcript.pyannote[90].end 154.38659375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 155.11221875
transcript.pyannote[91].end 155.14596875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 156.27659375
transcript.pyannote[92].end 157.40721875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 157.40721875
transcript.pyannote[93].end 159.90471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 160.15784375
transcript.pyannote[94].end 165.45659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 161.69346875
transcript.pyannote[95].end 164.27534375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 165.54096875
transcript.pyannote[96].end 167.44784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 167.88659375
transcript.pyannote[97].end 168.00471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 168.93284375
transcript.pyannote[98].end 171.29534375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 169.64159375
transcript.pyannote[99].end 169.77659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 170.09721875
transcript.pyannote[100].end 171.19409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 171.32909375
transcript.pyannote[101].end 177.03284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 177.84284375
transcript.pyannote[102].end 181.47096875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 181.97721875
transcript.pyannote[103].end 185.03159375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 182.39909375
transcript.pyannote[104].end 183.27659375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 185.11596875
transcript.pyannote[105].end 187.59659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 188.17034375
transcript.pyannote[106].end 191.30909375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 191.46096875
transcript.pyannote[107].end 192.35534375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 193.46909375
transcript.pyannote[108].end 199.81409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 201.50159375
transcript.pyannote[109].end 202.17659375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 202.24409375
transcript.pyannote[110].end 202.81784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 202.98659375
transcript.pyannote[111].end 205.56846875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 205.97346875
transcript.pyannote[112].end 206.47971875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 206.96909375
transcript.pyannote[113].end 207.03659375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 207.05346875
transcript.pyannote[114].end 208.97721875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 209.19659375
transcript.pyannote[115].end 209.73659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 211.25534375
transcript.pyannote[116].end 213.76971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 213.97221875
transcript.pyannote[117].end 214.68096875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 214.76534375
transcript.pyannote[118].end 233.59784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 220.80659375
transcript.pyannote[119].end 221.04284375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 229.21034375
transcript.pyannote[120].end 229.61534375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 233.51346875
transcript.pyannote[121].end 234.99846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 234.79596875
transcript.pyannote[122].end 236.92221875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 235.08284375
transcript.pyannote[123].end 235.53846875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 236.09534375
transcript.pyannote[124].end 238.17096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 237.66471875
transcript.pyannote[125].end 242.11971875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 242.96346875
transcript.pyannote[126].end 243.58784375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 243.73971875
transcript.pyannote[127].end 244.39784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 244.39784375
transcript.pyannote[128].end 258.40409375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 253.93221875
transcript.pyannote[129].end 254.57346875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 258.87659375
transcript.pyannote[130].end 262.30221875
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 262.77471875
transcript.pyannote[131].end 268.36034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 268.54596875
transcript.pyannote[132].end 273.23721875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 269.65971875
transcript.pyannote[133].end 270.95909375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 271.80284375
transcript.pyannote[134].end 279.88596875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 274.01346875
transcript.pyannote[135].end 275.51534375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 279.88596875
transcript.pyannote[136].end 284.08784375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 280.22346875
transcript.pyannote[137].end 280.54409375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 284.34096875
transcript.pyannote[138].end 288.03659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 288.28971875
transcript.pyannote[139].end 296.06909375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 290.31471875
transcript.pyannote[140].end 291.79971875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 291.79971875
transcript.pyannote[141].end 291.83346875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 296.81159375
transcript.pyannote[142].end 298.02659375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 298.71846875
transcript.pyannote[143].end 326.22471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 326.30909375
transcript.pyannote[144].end 328.24971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 329.21159375
transcript.pyannote[145].end 355.48596875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 355.84034375
transcript.pyannote[146].end 360.90284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 361.40909375
transcript.pyannote[147].end 363.28221875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 363.63659375
transcript.pyannote[148].end 366.35346875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 366.72471875
transcript.pyannote[149].end 368.98596875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 370.82534375
transcript.pyannote[150].end 371.66909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 372.58034375
transcript.pyannote[151].end 373.79534375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 374.97659375
transcript.pyannote[152].end 375.58409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 376.02284375
transcript.pyannote[153].end 377.60909375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 378.45284375
transcript.pyannote[154].end 379.43159375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 380.37659375
transcript.pyannote[155].end 381.16971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 382.18221875
transcript.pyannote[156].end 382.70534375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 383.14409375
transcript.pyannote[157].end 384.19034375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 385.57409375
transcript.pyannote[158].end 386.83971875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 387.71721875
transcript.pyannote[159].end 388.93221875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 389.52284375
transcript.pyannote[160].end 392.00346875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 392.49284375
transcript.pyannote[161].end 396.67784375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 397.06596875
transcript.pyannote[162].end 398.46659375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 398.87159375
transcript.pyannote[163].end 407.52846875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 408.16971875
transcript.pyannote[164].end 415.94909375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 417.01221875
transcript.pyannote[165].end 420.50534375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 421.68659375
transcript.pyannote[166].end 425.56784375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 427.39034375
transcript.pyannote[167].end 428.89221875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 429.58409375
transcript.pyannote[168].end 433.76909375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 434.39346875
transcript.pyannote[169].end 435.10221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 438.47721875
transcript.pyannote[170].end 439.55721875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 440.19846875
transcript.pyannote[171].end 447.15096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 447.96096875
transcript.pyannote[172].end 448.51784375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 448.39971875
transcript.pyannote[173].end 449.95221875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 450.18846875
transcript.pyannote[174].end 452.92221875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 453.31034375
transcript.pyannote[175].end 467.56971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 468.21096875
transcript.pyannote[176].end 469.67909375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 469.83096875
transcript.pyannote[177].end 474.80909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 475.21409375
transcript.pyannote[178].end 476.58096875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 477.42471875
transcript.pyannote[179].end 478.57221875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 479.33159375
transcript.pyannote[180].end 482.53784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 483.44909375
transcript.pyannote[181].end 500.99909375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 504.98159375
transcript.pyannote[182].end 505.65659375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 506.97284375
transcript.pyannote[183].end 507.93471875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 508.17096875
transcript.pyannote[184].end 508.32284375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 508.32284375
transcript.pyannote[185].end 509.21721875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 508.33971875
transcript.pyannote[186].end 512.00159375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 510.28034375
transcript.pyannote[187].end 511.30971875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 511.66409375
transcript.pyannote[188].end 513.60471875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 513.60471875
transcript.pyannote[189].end 513.65534375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 513.65534375
transcript.pyannote[190].end 513.70596875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 513.70596875
transcript.pyannote[191].end 513.97596875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 513.73971875
transcript.pyannote[192].end 513.90846875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 513.97596875
transcript.pyannote[193].end 514.51596875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 513.99284375
transcript.pyannote[194].end 514.09409375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 514.14471875
transcript.pyannote[195].end 514.17846875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 514.56659375
transcript.pyannote[196].end 514.76909375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 514.76909375
transcript.pyannote[197].end 514.80284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 514.80284375
transcript.pyannote[198].end 517.31721875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 516.28784375
transcript.pyannote[199].end 516.69284375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 518.07659375
transcript.pyannote[200].end 524.97846875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 525.45096875
transcript.pyannote[201].end 526.12596875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 526.46346875
transcript.pyannote[202].end 527.52659375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 527.03721875
transcript.pyannote[203].end 527.56034375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 527.56034375
transcript.pyannote[204].end 529.66971875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 528.82596875
transcript.pyannote[205].end 529.73721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 529.85534375
transcript.pyannote[206].end 529.87221875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 529.87221875
transcript.pyannote[207].end 530.31096875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 529.93971875
transcript.pyannote[208].end 532.79159375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 532.90971875
transcript.pyannote[209].end 535.03596875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 535.60971875
transcript.pyannote[210].end 540.09846875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 540.84096875
transcript.pyannote[211].end 551.13471875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 551.77596875
transcript.pyannote[212].end 555.43784375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 555.74159375
transcript.pyannote[213].end 557.51346875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 557.68221875
transcript.pyannote[214].end 561.61409375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 562.93034375
transcript.pyannote[215].end 563.70659375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 564.65159375
transcript.pyannote[216].end 565.17471875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 565.66409375
transcript.pyannote[217].end 566.27159375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 566.62596875
transcript.pyannote[218].end 567.75659375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 568.33034375
transcript.pyannote[219].end 569.64659375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 570.08534375
transcript.pyannote[220].end 575.33346875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 575.73846875
transcript.pyannote[221].end 576.93659375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 577.39221875
transcript.pyannote[222].end 580.76721875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 581.00346875
transcript.pyannote[223].end 581.56034375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 582.25221875
transcript.pyannote[224].end 583.46721875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 583.95659375
transcript.pyannote[225].end 597.79409375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 598.72221875
transcript.pyannote[226].end 599.43096875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 600.02159375
transcript.pyannote[227].end 601.18596875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 601.92846875
transcript.pyannote[228].end 602.82284375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 603.36284375
transcript.pyannote[229].end 604.32471875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 604.71284375
transcript.pyannote[230].end 605.15159375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 605.64096875
transcript.pyannote[231].end 606.83909375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 607.64909375
transcript.pyannote[232].end 608.84721875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 609.38721875
transcript.pyannote[233].end 614.04471875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 614.88846875
transcript.pyannote[234].end 615.74909375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 616.08659375
transcript.pyannote[235].end 620.96346875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 621.52034375
transcript.pyannote[236].end 624.23721875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 625.26659375
transcript.pyannote[237].end 626.05971875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 626.70096875
transcript.pyannote[238].end 628.54034375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 628.74284375
transcript.pyannote[239].end 629.63721875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 629.83971875
transcript.pyannote[240].end 631.15596875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 629.97471875
transcript.pyannote[241].end 630.24471875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 631.54409375
transcript.pyannote[242].end 632.86034375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 633.02909375
transcript.pyannote[243].end 637.11284375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 633.23159375
transcript.pyannote[244].end 634.07534375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 637.95659375
transcript.pyannote[245].end 639.74534375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 639.96471875
transcript.pyannote[246].end 640.79159375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 641.14596875
transcript.pyannote[247].end 642.59721875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 643.30596875
transcript.pyannote[248].end 644.63909375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 646.37721875
transcript.pyannote[249].end 647.82846875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 648.13221875
transcript.pyannote[250].end 648.75659375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 648.97596875
transcript.pyannote[251].end 649.98846875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 650.32596875
transcript.pyannote[252].end 651.08534375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 652.85721875
transcript.pyannote[253].end 653.75159375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 654.44346875
transcript.pyannote[254].end 655.23659375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 655.97909375
transcript.pyannote[255].end 656.38409375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 657.07596875
transcript.pyannote[256].end 657.14346875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 657.43034375
transcript.pyannote[257].end 660.95721875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 660.97409375
transcript.pyannote[258].end 660.99096875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 661.44659375
transcript.pyannote[259].end 672.98909375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 673.47846875
transcript.pyannote[260].end 675.31784375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 675.75659375
transcript.pyannote[261].end 676.21221875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 676.29659375
transcript.pyannote[262].end 678.22034375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 681.02159375
transcript.pyannote[263].end 683.41784375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 683.77221875
transcript.pyannote[264].end 684.41346875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 684.53159375
transcript.pyannote[265].end 685.10534375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 685.40909375
transcript.pyannote[266].end 686.38784375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 686.84346875
transcript.pyannote[267].end 692.54721875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 693.20534375
transcript.pyannote[268].end 695.34846875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 695.68596875
transcript.pyannote[269].end 699.61784375
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 700.81596875
transcript.pyannote[270].end 701.84534375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 702.16596875
transcript.pyannote[271].end 702.52034375
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 702.33471875
transcript.pyannote[272].end 703.26284375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 702.53721875
transcript.pyannote[273].end 702.55409375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 702.87471875
transcript.pyannote[274].end 703.93784375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 703.26284375
transcript.pyannote[275].end 727.02284375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 727.37721875
transcript.pyannote[276].end 732.05159375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 732.35534375
transcript.pyannote[277].end 752.38596875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 752.38596875
transcript.pyannote[278].end 757.78596875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 754.71471875
transcript.pyannote[279].end 754.81596875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 758.57909375
transcript.pyannote[280].end 775.43721875
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 759.86159375
transcript.pyannote[281].end 760.97534375
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 766.10534375
transcript.pyannote[282].end 766.40909375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 775.52159375
transcript.pyannote[283].end 786.74346875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 787.38471875
transcript.pyannote[284].end 789.73034375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 790.55721875
transcript.pyannote[285].end 791.21534375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 792.07596875
transcript.pyannote[286].end 792.70034375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 793.07159375
transcript.pyannote[287].end 794.37096875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 795.36659375
transcript.pyannote[288].end 802.80846875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 803.14596875
transcript.pyannote[289].end 803.90534375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 804.85034375
transcript.pyannote[290].end 806.47034375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 808.00596875
transcript.pyannote[291].end 810.28409375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 809.32221875
transcript.pyannote[292].end 809.38971875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 809.38971875
transcript.pyannote[293].end 809.64284375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 809.76096875
transcript.pyannote[294].end 809.77784375
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 809.81159375
transcript.pyannote[295].end 809.84534375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 810.04784375
transcript.pyannote[296].end 810.08159375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 810.33471875
transcript.pyannote[297].end 820.94909375
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 814.03034375
transcript.pyannote[298].end 814.11471875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 814.21596875
transcript.pyannote[299].end 814.33409375
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 821.16846875
transcript.pyannote[300].end 823.78409375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 822.23159375
transcript.pyannote[301].end 822.50159375
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 824.07096875
transcript.pyannote[302].end 825.11721875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 825.87659375
transcript.pyannote[303].end 832.69409375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 832.69409375
transcript.pyannote[304].end 849.55221875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 841.38471875
transcript.pyannote[305].end 841.80659375
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 841.80659375
transcript.pyannote[306].end 841.82346875
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 842.71784375
transcript.pyannote[307].end 842.97096875
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 842.97096875
transcript.pyannote[308].end 843.20721875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 851.13846875
transcript.pyannote[309].end 852.23534375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 852.48846875
transcript.pyannote[310].end 860.67284375
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 855.37409375
transcript.pyannote[311].end 855.39096875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 855.39096875
transcript.pyannote[312].end 856.55534375
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 857.97284375
transcript.pyannote[313].end 858.41159375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 859.35659375
transcript.pyannote[314].end 859.81221875
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 861.07784375
transcript.pyannote[315].end 863.37284375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 864.14909375
transcript.pyannote[316].end 866.62971875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 866.62971875
transcript.pyannote[317].end 867.03471875
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 866.64659375
transcript.pyannote[318].end 876.58596875
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 870.62909375
transcript.pyannote[319].end 871.23659375
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 876.46784375
transcript.pyannote[320].end 877.75034375
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 877.83471875
transcript.pyannote[321].end 885.54659375
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 878.29034375
transcript.pyannote[322].end 879.06659375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 885.91784375
transcript.pyannote[323].end 892.22909375
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 888.06096875
transcript.pyannote[324].end 888.58409375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 888.80346875
transcript.pyannote[325].end 890.13659375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 890.20409375
transcript.pyannote[326].end 892.09409375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 892.14471875
transcript.pyannote[327].end 892.21221875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 892.22909375
transcript.pyannote[328].end 892.97159375
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 892.97159375
transcript.pyannote[329].end 893.96721875
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 893.96721875
transcript.pyannote[330].end 894.96284375
transcript.whisperx[0].start 4.127
transcript.whisperx[0].end 22.74
transcript.whisperx[0].text 好謝謝主席有請部長部長你好部長你114年度送到行政院的總預算勞動部總預算案含基金total是多少2900億2900億那113年就今年是多少
transcript.whisperx[1].start 32.067
transcript.whisperx[1].end 42.993
transcript.whisperx[1].text 我講的是案不是審查過的你是說金額嗎?對啊總預算案是多少?114是2900多億我請我的同仁來回答一下好不好那個會計處有人跟你講說是增加還是減少嗎?114對照119是114對照113是增加還是減少?
transcript.whisperx[2].start 55.828
transcript.whisperx[2].end 61.291
transcript.whisperx[2].text 委員報告我們是增加了599億多增加59億113的勞動部的預算案對照114勞動部的預算案114年有比113增加59億多是不是
transcript.whisperx[3].start 78.94
transcript.whisperx[3].end 89.978
transcript.whisperx[3].text 是對照那個法定預算就是113年度因為預算已經通過了嗎所以我們比較是114的預算案比較113的法定預算
transcript.whisperx[4].start 91.809
transcript.whisperx[4].end 100.196
transcript.whisperx[4].text 沒有啦所以我才講說你113的預算案是多少嘛你現在跟我講是通過的嘛對不對你這樣就太拚了2794億2794億那你114是2900多億
transcript.whisperx[5].start 109.793
transcript.whisperx[5].end 137.355
transcript.whisperx[5].text 一一四我們是 sorry一一四預算案我們是兩千九百二十八億對啊二九二八一一四嘛對預算案是二九二八嘛那一一三勒一一三是兩千八百二千八百六十二千八百六十億左右
transcript.whisperx[6].start 138.713
transcript.whisperx[6].end 154.185
transcript.whisperx[6].text 這算會通過的嘛對不對?還是通過的?通過啦!不是啦不是啦!1億3他剩下的沒剩就叫做他剩暗嘛對不對?我現在跟妳因為我們一百十四年都還沒剩叫做他剩暗嘛你一百十三年他剩下的是多少?兩千八百多嘛是不是?是
transcript.whisperx[7].start 156.437
transcript.whisperx[7].end 184.514
transcript.whisperx[7].text 兩千八百六十億啦委員抱歉因為我這邊只有法定預算一一三的就就就通過的嘛你先跟我講通過了嘛對不對一一三的部分是這樣子一一三通過是二八六零二八六零兩千八百六十那你怎麼可以好意思跟我講說一一九一定大過於多過於一一八一一三一一四還一一四怎麼大過於一一三一一四就還沒有審耶你怎麼有把握還沒審啦對啦還沒通過
transcript.whisperx[8].start 185.154
transcript.whisperx[8].end 188.675
transcript.whisperx[8].text 部長來有沒有什麼新興的預算?我們其實沒有太多新興的預算很少所以增加了59億而已還沒有審查你怎麼知道會增加59億?我們預編
transcript.whisperx[9].start 211.724
transcript.whisperx[9].end 234.29
transcript.whisperx[9].text 憲哥預編是對照113的預算嘛是不是這樣對不對我一直強調我原本就是要問是113的預算案嘛就還沒有審查的嘛我是要看新部長來是不是有對照以前的這個那個年代是不是有增加更多預算基本上是沒有嘛甚至於你還可能會比113更少不一定因為還沒有審查嘛因為有可能被審
transcript.whisperx[10].start 239.855
transcript.whisperx[10].end 258.252
transcript.whisperx[10].text 新部長來當然要新氣象嘛那或許有你的思維你可能在勞工的權益上你希望可以再多增加的不一樣的但是還是要火力預計的預算以前沒有編那你現在來編是增加大概是多少
transcript.whisperx[11].start 258.919
transcript.whisperx[11].end 287.611
transcript.whisperx[11].text 我們大概比較有那個是運營流停啦今天加急補助經費38億叫去年增加9700萬這個不是新興的啦這是增加嘛這是原有的預算去增加的嘛我是說新興的項目都沒有啦我上任以後我沒有自己去新興任何項目預算啦反正就是沒有就對了啦沒有就比較不用擔心啦如果有你就會有自然生嘛因為現在預算還卡住嘛
transcript.whisperx[12].start 288.391
transcript.whisperx[12].end 308.323
transcript.whisperx[12].text 我的意思是這樣好了謝謝委員謝謝好我們現在回過頭來看這一個事情我們來追啦部長這個報導你看一下勞動部補助違法慣患勞團欲追回款項這個很清楚齁審計部的報告勞化署就按基金在去年公告15項計畫那補助共有11205家補助88968件
transcript.whisperx[13].start 314.827
transcript.whisperx[13].end 319.532
transcript.whisperx[13].text 共計劃出16.3億在勞動部這15項計劃裡面除了充電再出發訓練計劃外及與計劃均規範事業單位違反勞動法令這個情節重大者將不予補助
transcript.whisperx[14].start 335.689
transcript.whisperx[14].end 353.128
transcript.whisperx[14].text 這一計畫中勞動部或勞發署對於違反勞動法令勤解重大者的這個定義沒有明確沒有明確的說明清楚但我想一般的普羅大眾都應該非常知道如果有連續違反勞動法令的事業單位那基本上這個補助資格就應該要嚴審
transcript.whisperx[15].start 355.931
transcript.whisperx[15].end 383.768
transcript.whisperx[15].text 他會被挑戰嘛齁即便他是小錯啦但是一錯再錯一換再換這個在新華上叫擂飯嘛那擂飯的時候有時候是要加重啟醒但我們勞動部卻加重補助是在鼓勵用人民的納稅金鼓勵他們違反勞動法令所以他們怎麼犯錯沒有得到問題甚至於甚至於還加碼
transcript.whisperx[16].start 385.612
transcript.whisperx[16].end 397.84
transcript.whisperx[16].text 我要跟你們對照明細喔如果有這件事情部長你要怎麼處理這是第一件事情那第二件事情在審計部的資料就按基金補助的事業單位中有112家已經領了將近4千萬但112家卻是從109年到111年連續3年都有違反勞動法令的紀錄
transcript.whisperx[17].start 409.183
transcript.whisperx[17].end 415.744
transcript.whisperx[17].text 同年在111年一年內違反勞動法令三次的以上事業單位就有200家那其中5家達10次以上他們仍然還可以領到將近4898將近5000萬這些累換的事業單位將近8成在112年還在持續的違反勞動法令
transcript.whisperx[18].start 438.584
transcript.whisperx[18].end 466.867
transcript.whisperx[18].text 部長應該很清楚嘛所以我剛剛才會講那句話說我們是拿人民大稅錢在鼓勵他們就持續做這些違反勞動法令的事情這跟我獨立現在檢討這件事要檢討這些事情是這樣嘛部長勞動部列出這些計畫這15項其中很多是針對中高齡再就業計畫這個我們都非常支持的啊對不對然後因為我們要邁入到超高齡嘛這總統一直在講嘛勞動部鼓勵壯士代再度投入職場
transcript.whisperx[19].start 468.268
transcript.whisperx[19].end 482.409
transcript.whisperx[19].text 那我想在市場上的這個環境我們要嚴格把關不是又再再三有這種違反勞動法規的事業單位他們這樣叫做壯世代嗎?他們適合壯世代嗎?然後報導中老化署這樣回覆喔
transcript.whisperx[20].start 484
transcript.whisperx[20].end 500.314
transcript.whisperx[20].text 勞動法令多處罰類型不一各分署審查時會注意違反勞動法令情況至於是否要定一定期限內違反次數或金額高於多少以上就不予補助能待後續討論這樣對不對
transcript.whisperx[21].start 508.929
transcript.whisperx[21].end 524.818
transcript.whisperx[21].text 我們來檢討一個月內好不好不然就會像我講的嘛對不對我們就變相在鼓勵阿然後再來我不需要邀請部長啦違反的情節規定以及鼓勵的改善措施通通一個月內啦請部長馬上裁釋吧
transcript.whisperx[22].start 527.661
transcript.whisperx[22].end 539.939
transcript.whisperx[22].text 一個月內當然當然好謝謝那接下來部長再看一下時間到齁這個是攸關勞工生命攸關人命的事情部長可以看這近5年來的重大旨在死亡
transcript.whisperx[23].start 541.4
transcript.whisperx[23].end 561.08
transcript.whisperx[23].text 108到112平均差不多300人走位那營建數各位部長也可以再看一下108就168109145101371115612151差不多照著重大持災營建業已經就占了一半了部長再往下看
transcript.whisperx[24].start 562.962
transcript.whisperx[24].end 563.202
transcript.whisperx[24].text 李卓人議員
transcript.whisperx[25].start 577.452
transcript.whisperx[25].end 600.817
transcript.whisperx[25].text 倒塌崩塌就佔了半數以上了然後再往下一張就108年到112年墜落掉落的就是佔了將近佔比差不多50%了就48 49嘛從沒50%就一半了如果剛剛那個另外的那個加起來已經超過一半了這個如果部長
transcript.whisperx[26].start 601.957
transcript.whisperx[26].end 622.858
transcript.whisperx[26].text 你可以有自愧的然後有魄力的去處理我們把這樣的一個會發生的因素把它降下來我們或許明年我們就可以很大聲講說勞工職災重大死亡我們可以把它壓到200人以下
transcript.whisperx[27].start 625.325
transcript.whisperx[27].end 644.449
transcript.whisperx[27].text 就這個部分我們積極的看怎麼樣去預防怎麼去處理真的是有機會的啊你看他可以站一半嘛對不對 三八個他就站一半阿什麼藥 人間藥 人間藥阿什麼錢 什麼錢 土地希望就跌下去了嘛 塞下去嘛阿跟這跌下去跟塞下去我們讓這麼多勞工因為這樣在他的職場裡面喪失生命
transcript.whisperx[28].start 652.881
transcript.whisperx[28].end 677.713
transcript.whisperx[28].text 沒有道理啊!沒有道理嘛!對不對?這場事件還算好嘛對不對?怎麼沒辦法來做在整個職場上的一個更積極的一個管理讓這樣的憾事不要發生我相信這些營建業他也不希望發生這種事情嘛但是他就是讓這樣的事情持續發生然後讓這樣的比例就是這麼高
transcript.whisperx[29].start 681.058
transcript.whisperx[29].end 699.432
transcript.whisperx[29].text 那就很奇怪了啊我還要另外再講一句話那我們政府何嘗不是一樣怎麼讓這個數據維持這5年這是平均最弱掉落就是在50%我們政府怎麼讓營建業在死亡人數300人他們的占比就是占了一半以上
transcript.whisperx[30].start 700.871
transcript.whisperx[30].end 726.421
transcript.whisperx[30].text 委員我們就是發現這個問題所以我們今天為什麼說要最後打擊最後打擊我們希望在執行過程中事業單位都要負起他管理的責任那因為管理責任我們看來目前是有點落差所以我們也希望要修治安法把這個管理責任更落實現場的隨時的監察視察巡查把最後風險控制完降落就會降低了
transcript.whisperx[31].start 727.461
transcript.whisperx[31].end 751.178
transcript.whisperx[31].text 委員這事實在是全產業的我們營商業的墜落死亡比例是高達六成我們是非常痛心這個事情所以我們今年最後打擊年雖然剛才委員主席說是沒有辦法降到我們降百分之三十的標準但是我們會持續努力包括法規的制度跟營建署的合作就是國土署的合作如何把這個更有效做營建管理我想這是我們的關鍵了也謝謝委員今天是給我們的那個
transcript.whisperx[32].start 752.459
transcript.whisperx[32].end 775.079
transcript.whisperx[32].text 因為剛剛我有聽到委員跟你吹詢嘛但是我覺得你那個墜落打擊就是破功了嘛對不對坦白講就這樣嘛但是部長你不能破功嘛啊我剛才跟你講說你看營建類你跟我講到六成喔對不對啊我相信營建類也不希望會發生這種事情嘛對啊啊不會發生這種事情啊為什麼持續讓它發生嘛然後比例又這麼高嘛
transcript.whisperx[33].start 775.98
transcript.whisperx[33].end 789.446
transcript.whisperx[33].text 從人性的角度我們知道它不相發生 它就直接又發生 所以政府怎麼可以讓它也一樣跟這些業者一樣的處理方式 那就不對啊 對不對 所以我是覺得這邊阿記來 坦白講 我不覺得很大的困難耶
transcript.whisperx[34].start 795.41
transcript.whisperx[34].end 797.053
transcript.whisperx[34].text 但是如果你連續5年都當這樣的數據維持這樣那是真的這是很嚴重的問題了
transcript.whisperx[35].start 808.064
transcript.whisperx[35].end 808.084
transcript.whisperx[35].text 委員會議員
transcript.whisperx[36].start 826.196
transcript.whisperx[36].end 848.831
transcript.whisperx[36].text 老建這這營建工地的這樣子檢查我想我們還有要努力的空間對我想從什麼加嚴相關標準啊還是提高法管額度啦還是強化承攬管理責任啊什麼新增了這個雲童管理的花子大大大這個大家都會講了但是到底到底你們去執行落實的情況是怎麼樣不然怎麼還有這麼多的生命因為這樣不見了
transcript.whisperx[37].start 851.158
transcript.whisperx[37].end 851.719
transcript.whisperx[37].text 我們預備校會期送進立院
transcript.whisperx[38].start 864.301
transcript.whisperx[38].end 885.341
transcript.whisperx[38].text 我還是請部長可以趕一下啦齁然後這個要我覺得這一塊如果趕快可以補起來我們就有效控制在就壓低到200人以下只要這一塊處理好我們來加快速度謝謝委員然後對於現在現金要去緩緩如何改善勞工在職場上墜落啦掉落的
transcript.whisperx[39].start 886.042
transcript.whisperx[39].end 887.724
transcript.whisperx[39].text 是不是有一個報告可以給我們做參考?好 謝謝劉建國委員發言
會議時間 2024-10-16T09:00:00+08:00
委員發言時間 13:18:57 - 13:33:52
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第4次全體委員會議(事由:邀請勞動部部長列席報告業務概況,並備質詢。 【10月16日及17日二天一次會】)
IVOD_ID 155615
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/155615
日期 2024-10-16
會議資料.會議代碼 委員會-11-2-26-4
會議資料.屆 11
會議資料.會期 2
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第4次全體委員會議
影片種類 Clip
開始時間 2024-10-16T13:18:57+08:00
結束時間 2024-10-16T13:33:52+08:00
支援功能[0] ai-transcript