iVOD / 155518

Field Value
影片長度 513
委員名稱 蘇清泉
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9cb36b9643c5df69f46f90323d91cf457dcb16210b9dd9174b5ae818276114a0523becba90833d095ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.05971875
transcript.pyannote[0].end 8.41784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 7.59096875
transcript.pyannote[1].end 7.74284375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.51034375
transcript.pyannote[2].end 11.03346875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 11.03346875
transcript.pyannote[3].end 11.08409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 11.30346875
transcript.pyannote[4].end 17.58096875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 12.94034375
transcript.pyannote[5].end 13.75034375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 17.39534375
transcript.pyannote[6].end 18.10409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 18.10409375
transcript.pyannote[7].end 24.36471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 24.04409375
transcript.pyannote[8].end 24.49971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 24.49971875
transcript.pyannote[9].end 24.51659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 24.76971875
transcript.pyannote[10].end 28.31346875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 29.03909375
transcript.pyannote[11].end 32.73471875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 32.88659375
transcript.pyannote[12].end 33.79784375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 36.51471875
transcript.pyannote[13].end 37.42596875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 37.54409375
transcript.pyannote[14].end 44.46284375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 43.60221875
transcript.pyannote[15].end 44.49659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 44.47971875
transcript.pyannote[16].end 46.52159375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 47.38221875
transcript.pyannote[17].end 48.17534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 48.17534375
transcript.pyannote[18].end 50.99346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 51.07784375
transcript.pyannote[19].end 54.26721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 54.60471875
transcript.pyannote[20].end 55.61721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 56.42721875
transcript.pyannote[21].end 58.92471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 59.70096875
transcript.pyannote[22].end 68.08784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 68.71221875
transcript.pyannote[23].end 69.60659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 70.06221875
transcript.pyannote[24].end 72.62721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 70.70346875
transcript.pyannote[25].end 71.61471875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 72.96471875
transcript.pyannote[26].end 92.69159375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 91.44284375
transcript.pyannote[27].end 94.49721875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 95.22284375
transcript.pyannote[28].end 96.57284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 96.28596875
transcript.pyannote[29].end 96.92721875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 96.84284375
transcript.pyannote[30].end 104.92596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 99.61034375
transcript.pyannote[31].end 100.62284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 105.63471875
transcript.pyannote[32].end 107.33909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 105.85409375
transcript.pyannote[33].end 116.28284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 112.30034375
transcript.pyannote[34].end 112.33409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 116.43471875
transcript.pyannote[35].end 116.50221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 116.50221875
transcript.pyannote[36].end 129.09096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 122.62784375
transcript.pyannote[37].end 123.21846875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 123.80909375
transcript.pyannote[38].end 126.54284375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 129.09096875
transcript.pyannote[39].end 134.76096875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 129.10784375
transcript.pyannote[40].end 129.83346875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 132.49971875
transcript.pyannote[41].end 132.97221875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 134.37284375
transcript.pyannote[42].end 135.87471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 135.87471875
transcript.pyannote[43].end 139.63784375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 139.19909375
transcript.pyannote[44].end 144.32909375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 144.81846875
transcript.pyannote[45].end 149.07096875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 147.67034375
transcript.pyannote[46].end 156.37784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 149.35784375
transcript.pyannote[47].end 150.04971875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 156.66471875
transcript.pyannote[48].end 159.63471875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 159.19596875
transcript.pyannote[49].end 161.45721875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 162.36846875
transcript.pyannote[50].end 164.29221875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 164.76471875
transcript.pyannote[51].end 166.48596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 165.22034375
transcript.pyannote[52].end 169.01721875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 168.64596875
transcript.pyannote[53].end 169.96221875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 173.33721875
transcript.pyannote[54].end 173.77596875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 174.26534375
transcript.pyannote[55].end 185.20034375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 175.53096875
transcript.pyannote[56].end 176.47596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 185.01471875
transcript.pyannote[57].end 186.71909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 187.02284375
transcript.pyannote[58].end 187.44471875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 187.93409375
transcript.pyannote[59].end 189.40221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 190.02659375
transcript.pyannote[60].end 193.99221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 194.27909375
transcript.pyannote[61].end 195.62909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 194.44784375
transcript.pyannote[62].end 194.53221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 194.53221875
transcript.pyannote[63].end 194.76846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 194.76846875
transcript.pyannote[64].end 195.08909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 195.42659375
transcript.pyannote[65].end 195.47721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 195.47721875
transcript.pyannote[66].end 195.62909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 195.62909375
transcript.pyannote[67].end 196.11846875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 195.84846875
transcript.pyannote[68].end 199.99971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 196.11846875
transcript.pyannote[69].end 196.21971875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 198.34596875
transcript.pyannote[70].end 198.71721875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 200.60721875
transcript.pyannote[71].end 201.45096875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 201.60284375
transcript.pyannote[72].end 205.34909375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 205.93971875
transcript.pyannote[73].end 207.17159375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 209.16284375
transcript.pyannote[74].end 213.01034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 213.01034375
transcript.pyannote[75].end 215.55846875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 215.92971875
transcript.pyannote[76].end 217.76909375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 217.07721875
transcript.pyannote[77].end 217.44846875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 217.78596875
transcript.pyannote[78].end 217.83659375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 217.83659375
transcript.pyannote[79].end 218.62971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 218.62971875
transcript.pyannote[80].end 222.24096875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 219.74346875
transcript.pyannote[81].end 220.73909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 221.53221875
transcript.pyannote[82].end 222.59534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 222.59534375
transcript.pyannote[83].end 223.03409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 223.97909375
transcript.pyannote[84].end 232.95659375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 227.69159375
transcript.pyannote[85].end 228.33284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 233.58096875
transcript.pyannote[86].end 236.17971875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 236.17971875
transcript.pyannote[87].end 236.61846875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 236.61846875
transcript.pyannote[88].end 236.63534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 237.37784375
transcript.pyannote[89].end 237.39471875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 237.39471875
transcript.pyannote[90].end 237.41159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 237.41159375
transcript.pyannote[91].end 238.05284375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 237.44534375
transcript.pyannote[92].end 240.61784375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 240.82034375
transcript.pyannote[93].end 243.52034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 241.84971875
transcript.pyannote[94].end 243.36846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 243.52034375
transcript.pyannote[95].end 243.53721875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 243.53721875
transcript.pyannote[96].end 243.55409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 243.55409375
transcript.pyannote[97].end 243.57096875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 243.57096875
transcript.pyannote[98].end 243.58784375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 243.58784375
transcript.pyannote[99].end 246.01784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 244.44846875
transcript.pyannote[100].end 245.25846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 246.62534375
transcript.pyannote[101].end 247.97534375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 248.14409375
transcript.pyannote[102].end 252.58221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 253.83096875
transcript.pyannote[103].end 259.56846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 258.91034375
transcript.pyannote[104].end 269.65971875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 269.65971875
transcript.pyannote[105].end 270.19971875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 270.26721875
transcript.pyannote[106].end 273.50721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 273.82784375
transcript.pyannote[107].end 276.66284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 275.14409375
transcript.pyannote[108].end 277.94534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 277.94534375
transcript.pyannote[109].end 278.83971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 278.94096875
transcript.pyannote[110].end 278.95784375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 278.95784375
transcript.pyannote[111].end 279.44721875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 279.27846875
transcript.pyannote[112].end 280.52721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 280.40909375
transcript.pyannote[113].end 283.86846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 281.33721875
transcript.pyannote[114].end 290.33159375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 288.17159375
transcript.pyannote[115].end 288.50909375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 289.08284375
transcript.pyannote[116].end 292.64346875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 293.74034375
transcript.pyannote[117].end 297.09846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 297.09846875
transcript.pyannote[118].end 297.38534375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 297.95909375
transcript.pyannote[119].end 299.93346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 300.74346875
transcript.pyannote[120].end 305.06346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 305.26596875
transcript.pyannote[121].end 316.15034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 316.50471875
transcript.pyannote[122].end 323.18721875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 323.96346875
transcript.pyannote[123].end 324.77346875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 325.43159375
transcript.pyannote[124].end 326.08971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 326.64659375
transcript.pyannote[125].end 328.46909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 329.21159375
transcript.pyannote[126].end 330.98346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 331.64159375
transcript.pyannote[127].end 333.61596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 334.03784375
transcript.pyannote[128].end 343.77471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 344.19659375
transcript.pyannote[129].end 347.30159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 348.19596875
transcript.pyannote[130].end 349.25909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 349.71471875
transcript.pyannote[131].end 362.32034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 352.73534375
transcript.pyannote[132].end 356.54909375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 359.62034375
transcript.pyannote[133].end 361.62846875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 362.21909375
transcript.pyannote[134].end 371.87159375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 371.80409375
transcript.pyannote[135].end 375.97221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 376.27596875
transcript.pyannote[136].end 376.88346875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 376.88346875
transcript.pyannote[137].end 378.53721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 379.06034375
transcript.pyannote[138].end 380.00534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 380.34284375
transcript.pyannote[139].end 381.45659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 382.14846875
transcript.pyannote[140].end 383.27909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 384.51096875
transcript.pyannote[141].end 386.82284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 387.31221875
transcript.pyannote[142].end 391.44659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 389.77596875
transcript.pyannote[143].end 391.95284375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 391.90221875
transcript.pyannote[144].end 394.12971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 394.70346875
transcript.pyannote[145].end 407.81534375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 408.62534375
transcript.pyannote[146].end 409.06409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 409.67159375
transcript.pyannote[147].end 410.83596875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 409.84034375
transcript.pyannote[148].end 410.48159375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 410.95409375
transcript.pyannote[149].end 421.68659375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 414.46409375
transcript.pyannote[150].end 415.83096875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 415.83096875
transcript.pyannote[151].end 415.88159375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 421.99034375
transcript.pyannote[152].end 422.02409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 422.02409375
transcript.pyannote[153].end 422.66534375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 422.12534375
transcript.pyannote[154].end 423.37409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 423.55971875
transcript.pyannote[155].end 426.19221875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 424.85909375
transcript.pyannote[156].end 428.82471875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 427.27221875
transcript.pyannote[157].end 430.29284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 429.98909375
transcript.pyannote[158].end 434.44409375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 430.78221875
transcript.pyannote[159].end 431.15346875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 431.81159375
transcript.pyannote[160].end 441.58221875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 438.05534375
transcript.pyannote[161].end 440.99159375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 441.29534375
transcript.pyannote[162].end 448.14659375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 443.69159375
transcript.pyannote[163].end 446.03721875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 449.10846875
transcript.pyannote[164].end 458.99721875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 452.85471875
transcript.pyannote[165].end 453.49596875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 455.90909375
transcript.pyannote[166].end 455.92596875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 455.92596875
transcript.pyannote[167].end 456.11159375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 456.11159375
transcript.pyannote[168].end 456.16221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 460.14471875
transcript.pyannote[169].end 463.82346875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 464.81909375
transcript.pyannote[170].end 465.64596875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 465.64596875
transcript.pyannote[171].end 465.67971875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 465.74721875
transcript.pyannote[172].end 466.92846875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 467.28284375
transcript.pyannote[173].end 469.34159375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 467.68784375
transcript.pyannote[174].end 467.73846875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 467.73846875
transcript.pyannote[175].end 467.97471875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 467.97471875
transcript.pyannote[176].end 472.02471875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 469.81409375
transcript.pyannote[177].end 470.47221875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 470.72534375
transcript.pyannote[178].end 471.24846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 472.02471875
transcript.pyannote[179].end 472.07534375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 472.07534375
transcript.pyannote[180].end 472.41284375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 472.14284375
transcript.pyannote[181].end 489.37221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 489.84471875
transcript.pyannote[182].end 510.36471875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 502.04534375
transcript.pyannote[183].end 503.34471875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 508.69409375
transcript.pyannote[184].end 511.64721875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 512.89596875
transcript.pyannote[185].end 513.03096875
transcript.whisperx[0].start 5.423
transcript.whisperx[0].end 32.561
transcript.whisperx[0].text 部長謝謝謝謝主席你好我今天問你兩個問題第一個就就業安定基金第二個是東港的漁船的漁工第一個就業安定基金在第8屆地委的那個時代開始嘛那那個時候的規模差不多5億6億到現在已經400億今年可能1000億了有沒有
transcript.whisperx[1].start 32.941
transcript.whisperx[1].end 33.542
transcript.whisperx[1].text 臺灣現在外資看護23萬這是每個月繳多少錢
transcript.whisperx[2].start 47.715
transcript.whisperx[2].end 68.825
transcript.whisperx[2].text 兩千那如果是製造業因為我接到很多僱主的抱怨製造業五千、六千及一萬一個外籍老公來台灣僱主還要提高一萬塊怕死人一年十二萬的沒有 太貴了你這麼錢這麼多 大家都這樣白手金褲褲
transcript.whisperx[3].start 72.967
transcript.whisperx[3].end 94.444
transcript.whisperx[3].text 我跟委員報告啦齁您講的那個比較超過2000跟2000是以上的那個都是額外的extra的那個機制啦啊那個當然就是為了希望你不要引進太多移工而設計的所以確實我也知道我們的廠商確實企業也你現在製造業根本找不到人嘛
transcript.whisperx[4].start 95.425
transcript.whisperx[4].end 116.028
transcript.whisperx[4].text 誒 不會餒委員 其實製造業這部分因為我們一直都有在開放 然後對他其實應該相對還算現在外籍勞工在臺灣已經快要變成我們人口的一部分了變成是我們同胞的一部分
transcript.whisperx[5].start 116.539
transcript.whisperx[5].end 130.461
transcript.whisperx[5].text 所以可是委員就是我們救援基金對也因為這樣所以所以能夠來平衡國人就業我們今年預算293億就進帳291啦那你的支出是花在什麼地方就國人就業喔就是失業的來頂失業救基金不是不是就業訓練要給他魚乾
transcript.whisperx[6].start 144.904
transcript.whisperx[6].end 150.789
transcript.whisperx[6].text 不是職業養育,要給他養育剛剛可以釣魚我們剛剛拿工非職業性的離職每個月領的補助是用這筆錢來付的嗎?那是就業保險
transcript.whisperx[7].start 162.403
transcript.whisperx[7].end 184.074
transcript.whisperx[7].text 我就業保險是另外一筆錢就業保就保基金就保基金餘額更多那每個月在花給這些失業的勞工一個六個月啦九個月一年的年齡的關係那這個是勞保局在發的錢嗎通過勞保局去給付
transcript.whisperx[8].start 187.998
transcript.whisperx[8].end 198.491
transcript.whisperx[8].text 好那你這個接案定基金洗29個委員在掌控嘛那以前有發生過很多弊端現在還會有嗎
transcript.whisperx[9].start 202.127
transcript.whisperx[9].end 220.12
transcript.whisperx[9].text 應該應該委員你覺得最近還有這幾年有在聽到嗎我們這位署長上來之後他還我覺得應該還蠻透明很公正的是那你們這個委員是多久拼一次兩年一任嗎還是兩年一任無幾職出馬費初期車馬費對
transcript.whisperx[10].start 224.045
transcript.whisperx[10].end 252.131
transcript.whisperx[10].text 因為去年還有人在報裡面的弊端那你這樣一年有291的進賬那你的支出差不多多少我們今年預算支出也是編291欸收支要270我們今年的支出也是編270那是整個支出教育訓練是一部分啦不過是占三分之二以上
transcript.whisperx[11].start 254.174
transcript.whisperx[11].end 273.067
transcript.whisperx[11].text 那錢那麼多所以呢各個縣市長都要跟你磕頭跟你掉頭寸有沒有這回事啊我們確實在補助地方政府方面也蠻多的對可是這不是磕頭啦那個大家都是夥伴關係對我們跟縣市的合作都非常好那有沒有拿去投資其他的
transcript.whisperx[12].start 273.988
transcript.whisperx[12].end 276.57
transcript.whisperx[12].text 今年的預算也就是要拜託委員省
transcript.whisperx[13].start 298.069
transcript.whisperx[13].end 313.573
transcript.whisperx[13].text 那來第二個問題就是:當天很多外籍:這次在船上有外籍的漁工那常常被你們罰:被你們開罰單就是說這次的船員開到買艇、艇頭你要整理漁獲那你們想說那個叫鯊魚我告訴你齁我們這個海邊的魚 抓魚的齁
transcript.whisperx[14].start 324.035
transcript.whisperx[14].end 324.055
transcript.whisperx[14].text 委員會議員會議員會議
transcript.whisperx[15].start 350.844
transcript.whisperx[15].end 357.526
transcript.whisperx[15].text 委員我知道您在關心的這樣的形態他下船以後去幫忙鯊魚那沒有問題整理魚貨那不叫鯊魚火魚才叫鯊魚整理魚貨沒問題可是他如果去市場賣魚
transcript.whisperx[16].start 376.952
transcript.whisperx[16].end 380.815
transcript.whisperx[16].text 海上叫做走私那兩岸叫做海上小貿易
transcript.whisperx[17].start 382.508
transcript.whisperx[17].end 410.556
transcript.whisperx[17].text 關鍵不太一樣餒兩岸四地沒有什麼走私是海上小貿易所以這個想法講法不一樣所以你現在整理一戶家當然你們要跟漁業署來溝通那現在勞動部這邊是解釋然後現在你們是要怎麼處理你不能再一直開端那不然人家動會掉啦對不對你不知道這件事喔
transcript.whisperx[18].start 411.336
transcript.whisperx[18].end 427.972
transcript.whisperx[18].text 我知道其實我在東港那邊有很多這樣的需求對他們也希望你的意思就是希望移工也能夠幫忙到市場上處理他處理他整理出來叫他到市場我們也不容許
transcript.whisperx[19].start 429.233
transcript.whisperx[19].end 444.588
transcript.whisperx[19].text 到岸邊喔?對岸邊,他現在起床了我們來研究看看好嗎?因為就是如果他是他工作的延伸那就可以啦對工作的延伸對我們來研究看看所以這個你要跟漁業署好好的來溝通不然的話這些傳統給你看到
transcript.whisperx[20].start 449.141
transcript.whisperx[20].end 461.368
transcript.whisperx[20].text 今天剛好坐完坐完我們出去了,要給你餵了,所以今天跟愉悅鼠好好啊,好啊,溝通一下,好不好,那你現在你的部分,該稅有多寬,愉悅鼠那現在是還留很晚了嗎?
transcript.whisperx[21].start 466.682
transcript.whisperx[21].end 488.395
transcript.whisperx[21].text 委員報告因為這個議題其實漁民有反應我們跟漁業署其實都有在持續溝通那現在就是把那個範圍界定工作延伸基本上那個部分只要沒有涉及到一些未來一些漁獲的販賣或什麼大概這個部分我們跟漁業署會來溝通
transcript.whisperx[22].start 490.181
transcript.whisperx[22].end 490.502
transcript.whisperx[22].text 蘇清泉委員
會議時間 2024-10-16T09:00:00+08:00
委員發言時間 10:16:58 - 10:25:31
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】)
gazette.lineno 593
gazette.blocks[0][0] 蘇委員清泉:(10時17分)部長,謝謝,謝謝主席。
gazette.blocks[1][0] 何部長佩珊:委員好。
gazette.blocks[2][0] 蘇委員清泉:我今天問你兩個問題,第一個是就業安定基金,第二個是東港的漁船的漁工。第一個,就業安定基金在第8屆立委的那個時代開始嘛。
gazette.blocks[3][0] 何部長佩珊:是。
gazette.blocks[4][0] 蘇委員清泉:那個時候的規模差不多五億、六億,到現在已經400億,今年可能1,000億了,有沒有?
gazette.blocks[5][0] 何部長佩珊:沒有。
gazette.blocks[6][0] 蘇委員清泉:那我現在要問你的是,我們臺灣現在外籍看護差不多有23萬人。
gazette.blocks[7][0] 何部長佩珊:對。
gazette.blocks[8][0] 蘇委員清泉:這個是每個月繳多少錢?
gazette.blocks[9][0] 何部長佩珊:2,000。
gazette.blocks[10][0] 蘇委員清泉:如果是製造業,因為我接到很多雇主在complain,製造業是5,000、6,000到1萬,一個外籍勞工來臺灣,雇主一個月要替他繳1萬塊,嚇死人!一年12萬欸,部長,會不會太貴?你們這個錢這麼多,大家眼睛都睜很大。
gazette.blocks[11][0] 何部長佩珊:我跟委員報告,你講的那個比較超過2,000跟2,400以上的,那個都是額外的、extra的那個機制啦,那個當然就是為了希望你不要引進太多移工而設計的,所以確實我也知道我們的廠商……確實企業也……
gazette.blocks[12][0] 蘇委員清泉:現在製造業根本找不到人嘛。
gazette.blocks[13][0] 何部長佩珊:不會欸,委員。
gazette.blocks[14][0] 蘇委員清泉:不會喔?
gazette.blocks[15][0] 何部長佩珊:是,其實製造業這部分,因為我們一直都有在開放,它其實應該相對還算……
gazette.blocks[16][0] 蘇委員清泉:現在外籍勞工在臺灣已經快要變成我們人口的一部分了,變成是我們同胞的一部分。
gazette.blocks[17][0] 何部長佩珊:可是委員,我們就安基金也因為這樣,所以能夠來平衡國人……
gazette.blocks[18][0] 蘇委員清泉:你這樣一年的收入差不多多少錢?
gazette.blocks[19][0] 何部長佩珊:我們今年預算293億。
gazette.blocks[20][0] 蘇委員清泉:就進帳290億啦,那你的支出是花在什麼地方?
gazette.blocks[21][0] 何部長佩珊:就是國人就業。
gazette.blocks[22][0] 蘇委員清泉:就是失業的人來領失業救濟金,對不對?
gazette.blocks[23][0] 何部長佩珊:不是、不是,是就業訓練,要給他釣竿可以釣魚。
gazette.blocks[24][0] 蘇委員清泉:我們的勞工如果是非自願性的離職,每個月領的補助就是用這筆錢來付的?
gazette.blocks[25][0] 何部長佩珊:不是,那是就業保險,就業保險是另外一筆錢,就保基金。
gazette.blocks[26][0] 蘇委員清泉:那你們的錢很多欸,你們基金一大堆、小金庫一大堆。
gazette.blocks[27][0] 何部長佩珊:就保基金餘額更多。
gazette.blocks[28][0] 蘇委員清泉:每個月發給這些失業的勞工,最長6個月、9個月、1年的失業給付,因年齡的關係有別。這是勞保局在發的錢嗎?
gazette.blocks[29][0] 何部長佩珊:透過勞保局去給付。
gazette.blocks[30][0] 蘇委員清泉:就業安定基金是29個委員在掌控,以前發生過很多弊端,現在還有嗎?
gazette.blocks[31][0] 何部長佩珊:委員這幾年有再聽到嗎?我們這位署長上任之後,我覺得應該還蠻透明、公正的。
gazette.blocks[32][0] 蘇委員清泉:委員是多久聘一次?兩年一任嗎?還是?
gazette.blocks[33][0] 何部長佩珊:兩年一任。
gazette.blocks[34][0] 蘇委員清泉:無給職?出席領車馬費而已?
gazette.blocks[35][0] 何部長佩珊:對。
gazette.blocks[36][0] 蘇委員清泉:去年還有人在爆裡面的弊端。一年有290億的進帳,支出差不多多少?
gazette.blocks[37][0] 何部長佩珊:我們今年預算支出也是編270億。
gazette.blocks[38][0] 蘇委員清泉:教育訓練就花270億,嚇死人!你是在說……
gazette.blocks[39][0] 何部長佩珊:那是整個支出,教育訓練是一部分,不過占三分之二以上。
gazette.blocks[40][0] 蘇委員清泉:錢那麼多,所以各個縣市長都要跟你磕頭、調頭寸,有沒有這回事?
gazette.blocks[41][0] 何部長佩珊:沒有。我們確實在補助地方政府方面也蠻多的,可是這不是磕頭,大家都是夥伴關係,我們跟縣市的合作都非常好。
gazette.blocks[42][0] 蘇委員清泉:你有沒有拿去投資其他的,比如股票等等?
gazette.blocks[43][0] 何部長佩珊:沒有,就是最保守的方式。
gazette.blocks[44][0] 蘇委員清泉:就是孳息,存款利息這樣而已?
gazette.blocks[45][0] 何部長佩珊:對,因為這是辛苦錢。
gazette.blocks[46][0] 蘇委員清泉:因為這個基金不用給立法院監控,也不用來報告,什麼都不用,就讓29個人在那邊搞。
gazette.blocks[47][0] 何部長佩珊:有,這個基金要來立院審的,要給您審的。今年的預算也要拜託委員審。
gazette.blocks[48][0] 蘇委員清泉:第二個問題就是東港很多漁船上面有外籍漁工,常常被你們處罰、開罰單。這些船員在碼頭上整理魚貨,你們說那個叫殺魚。我跟你們說,我們住海邊在捕魚、從事養殖的孩子,殺活的魚叫做殺魚,魚若死了就變魚貨,魚貨就是整理而已。魚貨在碼頭整理,他們當然要幫忙整理,不然船長要怎麼處理?你們卻拼命開單,開到讓大家群起連署,要租遊覽車來勞動部抗議,你們現在處理得怎樣?
gazette.blocks[49][0] 何部長佩珊:委員,我知道您在關心這樣的型態……
gazette.blocks[50][0] 蘇委員清泉:我很關心,我每天聽他們在吵。
gazette.blocks[51][0] 何部長佩珊:他下船以後去幫忙殺魚,沒有問題,可是他如果把魚搬去市場賣……
gazette.blocks[52][0] 蘇委員清泉:那是整理魚貨,不叫殺魚,活魚才叫殺魚。都是冰起來的死魚,都從海裡抓回來,都是死的、都冰凍的,哪叫殺魚?整理魚貨,講好!
gazette.blocks[53][0] 何部長佩珊:對,整理魚貨沒問題。可是他如果去市場賣魚就會……
gazette.blocks[54][0] 蘇委員清泉:海上叫做走私,兩岸叫做海上小額貿易,觀念不太一樣。兩岸四地沒有什麼走私,是海上小額貿易,所以這個想法、講法不一樣。
gazette.blocks[55][0] 何部長佩珊:主要是去市場上賣……
gazette.blocks[56][0] 蘇委員清泉:針對整理魚貨,你們要跟漁業署來溝通,現在勞動部有解釋,然後你們要怎麼處理?你不能再一直開單,這樣沒人受得了!部長,你不知道這件事情嗎?
gazette.blocks[57][0] 何部長佩珊:我知道。我知道東港那邊有很多這樣的需求。
gazette.blocks[58][0] 蘇委員清泉:非常多。
gazette.blocks[59][0] 何部長佩珊:你的意思是希望漁工也能夠幫忙到市場上,處理、整理魚貨。
gazette.blocks[60][0] 蘇委員清泉:岸邊而已,叫他到市場而已,我們也不容許。
gazette.blocks[61][0] 何部長佩珊:可是這部分……到岸邊?
gazette.blocks[62][0] 蘇委員清泉:對,岸邊。魚貨上岸,他就在那邊整理、幫忙清洗等等。
gazette.blocks[63][0] 何部長佩珊:我們來研究看看,好嗎?如果是工作的延伸,那就可以。
gazette.blocks[64][0] 蘇委員清泉:對,工作的延伸,部長講到重點了。
gazette.blocks[65][0] 何部長佩珊:我們來研究看看。
gazette.blocks[66][0] 蘇委員清泉:你要跟漁業署好好來溝通。
gazette.blocks[67][0] 何部長佩珊:對,我們要跟漁業署一起會商。
gazette.blocks[68][0] 蘇委員清泉:不然這些船東被你開罰到……過兩天我就要帶他們坐遊覽車北上來包圍你們。
gazette.blocks[69][0] 何部長佩珊:了解。
gazette.blocks[70][0] 蘇委員清泉:所以趕快跟漁業署好好溝通,好不好?
gazette.blocks[71][0] 何部長佩珊:好。
gazette.blocks[72][0] 蘇委員清泉:現在你們的部分是解釋有放寬,漁業署那邊還抓得很緊嗎?你們有在溝通嗎?這個是漁民生計,現在抓魚很艱苦。
gazette.blocks[73][0] 何部長佩珊:我請署長來說明。
gazette.blocks[74][0] 蔡署長孟良:因為這個議題漁民有反映,我們跟漁業署都有在持續溝通,現在就是把範圍界定為工作延伸。基本上,那個部分只要未來沒有涉及魚貨的販賣等等,這個部分我們會跟漁業署來溝通。
gazette.blocks[75][0] 蘇委員清泉:就是很單純的,把魚抓上來、釣上來,在碼頭、岸邊幫忙整理這些魚貨,這樣不要把他當做……如果要到菜市場幫忙賣,這樣當然不行!如果只有在那邊工作就放寬一下,不要急著抓,這是沒意義的事情,好不好?
gazette.blocks[76][0] 何部長佩珊:好。
gazette.blocks[77][0] 蘇委員清泉:好,謝謝。
gazette.blocks[78][0] 何部長佩珊:謝謝委員。
gazette.blocks[79][0] 主席:好,謝謝。
gazette.blocks[79][1] 下一位請涂權吉委員,在涂權吉委員發言完畢後,休息10分鐘。
gazette.agenda.page_end 362
gazette.agenda.meet_id 委員會-11-2-26-4
gazette.agenda.speakers[0] 黃秀芳
gazette.agenda.speakers[1] 陳昭姿
gazette.agenda.speakers[2] 林月琴
gazette.agenda.speakers[3] 陳菁徽
gazette.agenda.speakers[4] 王育敏
gazette.agenda.speakers[5] 邱鎮軍
gazette.agenda.speakers[6] 廖偉翔
gazette.agenda.speakers[7] 蘇清泉
gazette.agenda.speakers[8] 涂權吉
gazette.agenda.speakers[9] 王正旭
gazette.agenda.speakers[10] 林淑芬
gazette.agenda.speakers[11] 王鴻薇
gazette.agenda.speakers[12] 羅廷瑋
gazette.agenda.speakers[13] 陳瑩
gazette.agenda.speakers[14] 楊瓊瓔
gazette.agenda.speakers[15] 洪孟楷
gazette.agenda.speakers[16] 吳宗憲
gazette.agenda.speakers[17] 林國成
gazette.agenda.speakers[18] 羅智強
gazette.agenda.speakers[19] 吳春城
gazette.agenda.speakers[20] 邱若華
gazette.agenda.speakers[21] 牛煦庭
gazette.agenda.speakers[22] 蔡易餘
gazette.agenda.speakers[23] 葉元之
gazette.agenda.speakers[24] 楊曜
gazette.agenda.speakers[25] 劉建國
gazette.agenda.speakers[26] 麥玉珍
gazette.agenda.page_start 265
gazette.agenda.meetingDate[0] 2024-10-16
gazette.agenda.gazette_id 1138601
gazette.agenda.agenda_lcidc_ids[0] 1138601_00006
gazette.agenda.meet_name 立法院第11屆第2會期社會福利及衛生環境委員會第4次全體委員會議紀錄
gazette.agenda.content 邀請勞動部部長列席報告業務概況,並備質詢
gazette.agenda.agenda_id 1138601_00005
IVOD_ID 155518
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/155518
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 2024-10-16T10:16:58+08:00
結束時間 2024-10-16T10:25:31+08:00
支援功能[0] ai-transcript
支援功能[1] gazette