iVOD / 157199

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/be8492a9d81d8eab3ee721ea66a4a00115c44cfb23388520d632f63170caf1df73945759db2c21775ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊曜
委員發言時間 13:32:38 - 13:46:59
影片長度 861
會議時間 2024-11-20T09:00:00+08:00
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9次全體委員會議(事由:邀請勞動部部長、銓敘部、國防部、內政部警政署、內政部消防署、行政院人事行政總處、考試院、公務人員保障暨培訓委員會、教育部及國家科學及技術委員會就「職場霸凌防治與處理作業」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 3.74346875
transcript.pyannote[0].end 5.61659375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 6.52784375
transcript.pyannote[1].end 7.08471875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 7.59096875
transcript.pyannote[2].end 8.33346875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 14.32409375
transcript.pyannote[3].end 15.04971875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 15.15096875
transcript.pyannote[4].end 21.69846875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 22.69409375
transcript.pyannote[5].end 22.82909375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 22.89659375
transcript.pyannote[6].end 22.91346875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 22.94721875
transcript.pyannote[7].end 24.70221875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 24.98909375
transcript.pyannote[8].end 30.27096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.94159375
transcript.pyannote[9].end 33.96659375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 33.96659375
transcript.pyannote[10].end 34.10159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 34.10159375
transcript.pyannote[11].end 34.21971875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 34.21971875
transcript.pyannote[12].end 42.03284375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 34.28721875
transcript.pyannote[13].end 35.23221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 35.75534375
transcript.pyannote[14].end 36.17721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 42.03284375
transcript.pyannote[15].end 42.91034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 42.91034375
transcript.pyannote[16].end 43.21409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 42.94409375
transcript.pyannote[17].end 53.35596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 53.55846875
transcript.pyannote[18].end 58.43534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 57.06846875
transcript.pyannote[19].end 61.25346875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 59.05971875
transcript.pyannote[20].end 59.14409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 61.89471875
transcript.pyannote[21].end 63.58221875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 63.97034375
transcript.pyannote[22].end 67.24409375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 67.59846875
transcript.pyannote[23].end 68.40846875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 69.45471875
transcript.pyannote[24].end 70.28159375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 71.80034375
transcript.pyannote[25].end 77.20034375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 77.70659375
transcript.pyannote[26].end 84.00096875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 84.74346875
transcript.pyannote[27].end 87.03846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 88.13534375
transcript.pyannote[28].end 95.32409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 95.72909375
transcript.pyannote[29].end 97.83846875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 98.85096875
transcript.pyannote[30].end 99.28971875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 99.74534375
transcript.pyannote[31].end 101.29784375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 102.68159375
transcript.pyannote[32].end 105.14534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 105.55034375
transcript.pyannote[33].end 106.02284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 106.41096875
transcript.pyannote[34].end 112.03034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 111.13596875
transcript.pyannote[35].end 111.30471875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 112.03034375
transcript.pyannote[36].end 115.10159375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 113.34659375
transcript.pyannote[37].end 113.98784375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 115.25346875
transcript.pyannote[38].end 120.97409375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 116.09721875
transcript.pyannote[39].end 116.16471875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 120.97409375
transcript.pyannote[40].end 121.63221875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 122.00346875
transcript.pyannote[41].end 122.02034375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 122.02034375
transcript.pyannote[42].end 124.21409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 124.78784375
transcript.pyannote[43].end 125.36159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 125.36159375
transcript.pyannote[44].end 131.94284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 126.25596875
transcript.pyannote[45].end 127.69034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 132.16221875
transcript.pyannote[46].end 133.74846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 134.38971875
transcript.pyannote[47].end 135.58784375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 135.85784375
transcript.pyannote[48].end 139.85721875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 140.24534375
transcript.pyannote[49].end 141.83159375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 142.91159375
transcript.pyannote[50].end 143.58659375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 143.77221875
transcript.pyannote[51].end 145.25721875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 145.45971875
transcript.pyannote[52].end 146.77596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 147.04596875
transcript.pyannote[53].end 147.88971875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 150.25221875
transcript.pyannote[54].end 151.07909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 153.12096875
transcript.pyannote[55].end 153.66096875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 155.06159375
transcript.pyannote[56].end 155.65221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 157.57596875
transcript.pyannote[57].end 159.02721875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 159.66846875
transcript.pyannote[58].end 160.83284375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 161.65971875
transcript.pyannote[59].end 164.41034375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 165.37221875
transcript.pyannote[60].end 168.39284375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 168.84846875
transcript.pyannote[61].end 171.75096875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 172.79721875
transcript.pyannote[62].end 173.64096875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 175.41284375
transcript.pyannote[63].end 176.22284375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 176.44221875
transcript.pyannote[64].end 177.80909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 177.99471875
transcript.pyannote[65].end 179.00721875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 179.54721875
transcript.pyannote[66].end 180.66096875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 182.75346875
transcript.pyannote[67].end 183.20909375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 183.85034375
transcript.pyannote[68].end 185.70659375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 186.26346875
transcript.pyannote[69].end 187.64721875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 188.76096875
transcript.pyannote[70].end 189.30096875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 189.89159375
transcript.pyannote[71].end 190.92096875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 191.12346875
transcript.pyannote[72].end 192.40596875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 193.63784375
transcript.pyannote[73].end 197.23221875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 198.48096875
transcript.pyannote[74].end 203.07096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 203.67846875
transcript.pyannote[75].end 208.36971875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 208.52159375
transcript.pyannote[76].end 209.51721875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 210.14159375
transcript.pyannote[77].end 210.42846875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 211.74471875
transcript.pyannote[78].end 213.07784375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 213.93846875
transcript.pyannote[79].end 214.69784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 215.30534375
transcript.pyannote[80].end 216.03096875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 216.26721875
transcript.pyannote[81].end 217.81971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 219.70971875
transcript.pyannote[82].end 222.69659375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 222.84846875
transcript.pyannote[83].end 224.02971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 224.13096875
transcript.pyannote[84].end 225.04221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 226.17284375
transcript.pyannote[85].end 227.75909375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 228.55221875
transcript.pyannote[86].end 231.08346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 231.08346875
transcript.pyannote[87].end 231.16784375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 231.31971875
transcript.pyannote[88].end 231.33659375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 231.33659375
transcript.pyannote[89].end 231.37034375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 231.37034375
transcript.pyannote[90].end 231.79221875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 231.79221875
transcript.pyannote[91].end 231.80909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 232.19721875
transcript.pyannote[92].end 232.23096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 232.23096875
transcript.pyannote[93].end 232.70346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 233.96909375
transcript.pyannote[94].end 234.00284375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 234.00284375
transcript.pyannote[95].end 234.42471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 235.03221875
transcript.pyannote[96].end 235.04909375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 235.04909375
transcript.pyannote[97].end 235.57221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 236.70284375
transcript.pyannote[98].end 237.41159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 239.41971875
transcript.pyannote[99].end 240.39846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 241.15784375
transcript.pyannote[100].end 243.68909375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 244.49909375
transcript.pyannote[101].end 245.19096875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 245.84909375
transcript.pyannote[102].end 246.60846875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 247.31721875
transcript.pyannote[103].end 250.08471875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 250.37159375
transcript.pyannote[104].end 251.38409375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 252.83534375
transcript.pyannote[105].end 253.47659375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 254.01659375
transcript.pyannote[106].end 255.67034375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 256.41284375
transcript.pyannote[107].end 258.43784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 261.01971875
transcript.pyannote[108].end 262.52159375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 262.99409375
transcript.pyannote[109].end 264.79971875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 265.39034375
transcript.pyannote[110].end 265.84596875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 267.71909375
transcript.pyannote[111].end 268.34346875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 269.20409375
transcript.pyannote[112].end 274.97534375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 274.97534375
transcript.pyannote[113].end 276.78096875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 277.79346875
transcript.pyannote[114].end 279.58221875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 280.45971875
transcript.pyannote[115].end 281.15159375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 281.60721875
transcript.pyannote[116].end 282.21471875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 283.54784375
transcript.pyannote[117].end 284.08784375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 285.10034375
transcript.pyannote[118].end 285.45471875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 286.21409375
transcript.pyannote[119].end 287.22659375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 288.03659375
transcript.pyannote[120].end 289.48784375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 290.53409375
transcript.pyannote[121].end 291.52971875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 292.25534375
transcript.pyannote[122].end 294.29721875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 294.41534375
transcript.pyannote[123].end 295.27596875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 297.63846875
transcript.pyannote[124].end 299.47784375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 299.81534375
transcript.pyannote[125].end 301.67159375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 301.75596875
transcript.pyannote[126].end 303.37596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 305.94096875
transcript.pyannote[127].end 307.22346875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 307.37534375
transcript.pyannote[128].end 308.53971875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 308.79284375
transcript.pyannote[129].end 309.48471875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 310.17659375
transcript.pyannote[130].end 312.45471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 313.28159375
transcript.pyannote[131].end 315.74534375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 316.40346875
transcript.pyannote[132].end 319.15409375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 319.77846875
transcript.pyannote[133].end 320.38596875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 321.29721875
transcript.pyannote[134].end 322.24221875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 322.49534375
transcript.pyannote[135].end 322.84971875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 323.27159375
transcript.pyannote[136].end 323.94659375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 327.40596875
transcript.pyannote[137].end 329.02596875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 329.32971875
transcript.pyannote[138].end 331.32096875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 332.23221875
transcript.pyannote[139].end 333.37971875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 334.18971875
transcript.pyannote[140].end 335.03346875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 335.40471875
transcript.pyannote[141].end 337.22721875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 337.31159375
transcript.pyannote[142].end 338.59409375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 339.08346875
transcript.pyannote[143].end 340.31534375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 341.54721875
transcript.pyannote[144].end 342.50909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 347.77409375
transcript.pyannote[145].end 348.26346875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 349.02284375
transcript.pyannote[146].end 351.92534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 352.07721875
transcript.pyannote[147].end 352.80284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 353.69721875
transcript.pyannote[148].end 354.33846875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 354.81096875
transcript.pyannote[149].end 356.51534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 357.49409375
transcript.pyannote[150].end 359.73846875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 360.54846875
transcript.pyannote[151].end 361.91534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 362.79284375
transcript.pyannote[152].end 363.99096875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 365.62784375
transcript.pyannote[153].end 367.41659375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 369.13784375
transcript.pyannote[154].end 370.03221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 371.93909375
transcript.pyannote[155].end 372.42846875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 375.43221875
transcript.pyannote[156].end 376.17471875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 376.24221875
transcript.pyannote[157].end 377.27159375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 377.65971875
transcript.pyannote[158].end 378.40221875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 378.60471875
transcript.pyannote[159].end 379.58346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 381.08534375
transcript.pyannote[160].end 381.54096875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 381.96284375
transcript.pyannote[161].end 385.96221875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 385.96221875
transcript.pyannote[162].end 387.16034375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 387.85221875
transcript.pyannote[163].end 387.88596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 387.88596875
transcript.pyannote[164].end 390.97409375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 391.24409375
transcript.pyannote[165].end 392.17221875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 392.45909375
transcript.pyannote[166].end 393.04971875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 394.01159375
transcript.pyannote[167].end 394.56846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 395.14221875
transcript.pyannote[168].end 395.71596875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 395.98596875
transcript.pyannote[169].end 396.49221875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 396.72846875
transcript.pyannote[170].end 399.81659375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 401.97659375
transcript.pyannote[171].end 405.31784375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 406.27971875
transcript.pyannote[172].end 406.87034375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 407.86596875
transcript.pyannote[173].end 409.18221875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 411.42659375
transcript.pyannote[174].end 412.84409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 413.43471875
transcript.pyannote[175].end 415.34159375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 415.52721875
transcript.pyannote[176].end 418.04159375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 418.39596875
transcript.pyannote[177].end 419.17221875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 421.01159375
transcript.pyannote[178].end 421.60221875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 425.14596875
transcript.pyannote[179].end 425.87159375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 426.76596875
transcript.pyannote[180].end 428.45346875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 428.89221875
transcript.pyannote[181].end 430.22534375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 430.91721875
transcript.pyannote[182].end 431.87909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 432.35159375
transcript.pyannote[183].end 434.19096875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 434.61284375
transcript.pyannote[184].end 435.15284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 436.19909375
transcript.pyannote[185].end 437.17784375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 438.19034375
transcript.pyannote[186].end 440.11409375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 441.16034375
transcript.pyannote[187].end 442.12221875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 443.69159375
transcript.pyannote[188].end 444.26534375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 444.45096875
transcript.pyannote[189].end 444.83909375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 445.51409375
transcript.pyannote[190].end 447.06659375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 448.21409375
transcript.pyannote[191].end 448.73721875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 449.34471875
transcript.pyannote[192].end 449.69909375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 450.27284375
transcript.pyannote[193].end 451.53846875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 453.81659375
transcript.pyannote[194].end 454.96409375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 455.45346875
transcript.pyannote[195].end 457.00596875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 458.40659375
transcript.pyannote[196].end 459.57096875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 460.95471875
transcript.pyannote[197].end 461.37659375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 462.72659375
transcript.pyannote[198].end 463.73909375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 465.17346875
transcript.pyannote[199].end 466.16909375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 466.91159375
transcript.pyannote[200].end 467.90721875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 468.31221875
transcript.pyannote[201].end 468.58221875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 468.70034375
transcript.pyannote[202].end 469.20659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 469.72971875
transcript.pyannote[203].end 470.45534375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 470.97846875
transcript.pyannote[204].end 471.26534375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 471.26534375
transcript.pyannote[205].end 471.29909375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 474.65721875
transcript.pyannote[206].end 475.51784375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 476.07471875
transcript.pyannote[207].end 476.34471875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 476.76659375
transcript.pyannote[208].end 479.01096875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 480.95159375
transcript.pyannote[209].end 482.63909375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 483.36471875
transcript.pyannote[210].end 484.30971875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 485.40659375
transcript.pyannote[211].end 485.84534375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 490.43534375
transcript.pyannote[212].end 490.46909375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 490.46909375
transcript.pyannote[213].end 490.94159375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 494.94096875
transcript.pyannote[214].end 498.36659375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 498.85596875
transcript.pyannote[215].end 499.96971875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 499.96971875
transcript.pyannote[216].end 500.91471875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 503.34471875
transcript.pyannote[217].end 504.12096875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 504.61034375
transcript.pyannote[218].end 505.82534375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 506.24721875
transcript.pyannote[219].end 507.25971875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 509.21721875
transcript.pyannote[220].end 512.03534375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 512.03534375
transcript.pyannote[221].end 513.13221875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 513.70596875
transcript.pyannote[222].end 515.79846875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 516.16971875
transcript.pyannote[223].end 518.31284375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 518.49846875
transcript.pyannote[224].end 519.35909375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 519.93284375
transcript.pyannote[225].end 521.72159375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 522.26159375
transcript.pyannote[226].end 522.86909375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 523.15596875
transcript.pyannote[227].end 523.89846875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 524.64096875
transcript.pyannote[228].end 525.26534375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 525.72096875
transcript.pyannote[229].end 527.52659375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 527.69534375
transcript.pyannote[230].end 528.84284375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 529.12971875
transcript.pyannote[231].end 529.82159375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 530.10846875
transcript.pyannote[232].end 533.16284375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 535.82909375
transcript.pyannote[233].end 537.36471875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 542.44409375
transcript.pyannote[234].end 542.91659375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 543.97971875
transcript.pyannote[235].end 544.68846875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 545.12721875
transcript.pyannote[236].end 545.56596875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 545.81909375
transcript.pyannote[237].end 546.69659375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 547.25346875
transcript.pyannote[238].end 548.04659375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 548.50221875
transcript.pyannote[239].end 549.29534375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 550.39221875
transcript.pyannote[240].end 551.35409375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 551.40471875
transcript.pyannote[241].end 552.07971875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 552.68721875
transcript.pyannote[242].end 553.85159375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 556.12971875
transcript.pyannote[243].end 557.22659375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 558.15471875
transcript.pyannote[244].end 566.37284375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 558.69471875
transcript.pyannote[245].end 559.75784375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 567.01409375
transcript.pyannote[246].end 567.08159375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 567.08159375
transcript.pyannote[247].end 570.18659375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 571.67159375
transcript.pyannote[248].end 573.30846875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 573.57846875
transcript.pyannote[249].end 574.65846875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 575.18159375
transcript.pyannote[250].end 577.29096875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 578.05034375
transcript.pyannote[251].end 581.27346875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 581.64471875
transcript.pyannote[252].end 583.85534375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 584.58096875
transcript.pyannote[253].end 586.09971875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 587.29784375
transcript.pyannote[254].end 590.45346875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 592.00596875
transcript.pyannote[255].end 593.27159375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 594.18284375
transcript.pyannote[256].end 594.84096875
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 595.83659375
transcript.pyannote[257].end 597.32159375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 597.55784375
transcript.pyannote[258].end 598.21596875
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 598.80659375
transcript.pyannote[259].end 599.56596875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 600.30846875
transcript.pyannote[260].end 600.79784375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 603.63284375
transcript.pyannote[261].end 610.75409375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 610.88909375
transcript.pyannote[262].end 615.63096875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 615.93471875
transcript.pyannote[263].end 618.41534375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 619.05659375
transcript.pyannote[264].end 621.25034375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 623.00534375
transcript.pyannote[265].end 625.75596875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 626.34659375
transcript.pyannote[266].end 627.27471875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 627.94971875
transcript.pyannote[267].end 630.12659375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 632.57346875
transcript.pyannote[268].end 634.51409375
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 634.78409375
transcript.pyannote[269].end 635.13846875
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 635.72909375
transcript.pyannote[270].end 636.43784375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 636.57284375
transcript.pyannote[271].end 636.99471875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 638.15909375
transcript.pyannote[272].end 640.30221875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 641.04471875
transcript.pyannote[273].end 641.29784375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 641.58471875
transcript.pyannote[274].end 642.41159375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 642.96846875
transcript.pyannote[275].end 644.11596875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 645.24659375
transcript.pyannote[276].end 646.91721875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 650.35971875
transcript.pyannote[277].end 650.89971875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 651.40596875
transcript.pyannote[278].end 653.54909375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 654.89909375
transcript.pyannote[279].end 655.62471875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 655.91159375
transcript.pyannote[280].end 656.80596875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 657.29534375
transcript.pyannote[281].end 659.42159375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 659.91096875
transcript.pyannote[282].end 661.17659375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 664.63596875
transcript.pyannote[283].end 665.27721875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 667.36971875
transcript.pyannote[284].end 668.93909375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 669.24284375
transcript.pyannote[285].end 670.49159375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 675.03096875
transcript.pyannote[286].end 677.14034375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 677.78159375
transcript.pyannote[287].end 678.65909375
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 678.87846875
transcript.pyannote[288].end 679.48596875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 680.97096875
transcript.pyannote[289].end 683.21534375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 684.12659375
transcript.pyannote[290].end 685.29096875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 686.74221875
transcript.pyannote[291].end 687.82221875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 688.29471875
transcript.pyannote[292].end 689.39159375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 689.83034375
transcript.pyannote[293].end 690.87659375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 691.39971875
transcript.pyannote[294].end 692.07471875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 692.27721875
transcript.pyannote[295].end 693.69471875
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 693.86346875
transcript.pyannote[296].end 695.41596875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 696.04034375
transcript.pyannote[297].end 696.96846875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 697.57596875
transcript.pyannote[298].end 701.98034375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 704.25846875
transcript.pyannote[299].end 706.28346875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 706.36784375
transcript.pyannote[300].end 707.26221875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 707.49846875
transcript.pyannote[301].end 708.88221875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 718.33221875
transcript.pyannote[302].end 718.65284375
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 719.20971875
transcript.pyannote[303].end 722.02784375
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 722.24721875
transcript.pyannote[304].end 723.64784375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 724.12034375
transcript.pyannote[305].end 724.47471875
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 726.61784375
transcript.pyannote[306].end 726.71909375
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 726.71909375
transcript.pyannote[307].end 733.97534375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 727.93409375
transcript.pyannote[308].end 728.45721875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 736.52346875
transcript.pyannote[309].end 738.64971875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 739.29096875
transcript.pyannote[310].end 740.18534375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 743.59409375
transcript.pyannote[311].end 744.33659375
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 745.34909375
transcript.pyannote[312].end 745.36596875
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 745.36596875
transcript.pyannote[313].end 746.88471875
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 750.58034375
transcript.pyannote[314].end 752.48721875
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 753.70221875
transcript.pyannote[315].end 755.22096875
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 755.69346875
transcript.pyannote[316].end 756.38534375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 758.81534375
transcript.pyannote[317].end 759.89534375
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 761.90346875
transcript.pyannote[318].end 763.37159375
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 763.92846875
transcript.pyannote[319].end 765.17721875
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 768.99096875
transcript.pyannote[320].end 770.00346875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 771.31971875
transcript.pyannote[321].end 771.96096875
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 774.08721875
transcript.pyannote[322].end 774.99846875
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 776.29784375
transcript.pyannote[323].end 776.71971875
transcript.pyannote[324].speaker SPEAKER_02
transcript.pyannote[324].start 777.56346875
transcript.pyannote[324].end 777.98534375
transcript.pyannote[325].speaker SPEAKER_02
transcript.pyannote[325].start 778.60971875
transcript.pyannote[325].end 781.63034375
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 778.67721875
transcript.pyannote[326].end 779.70659375
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 780.22971875
transcript.pyannote[327].end 780.29721875
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 782.32221875
transcript.pyannote[328].end 782.91284375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 784.33034375
transcript.pyannote[329].end 786.28784375
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 787.26659375
transcript.pyannote[330].end 789.00471875
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 789.49409375
transcript.pyannote[331].end 793.08846875
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 793.67909375
transcript.pyannote[332].end 794.37096875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 795.02909375
transcript.pyannote[333].end 795.72096875
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 796.15971875
transcript.pyannote[334].end 799.78784375
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 800.46284375
transcript.pyannote[335].end 800.86784375
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 801.28971875
transcript.pyannote[336].end 802.63971875
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 803.63534375
transcript.pyannote[337].end 809.03534375
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 809.38971875
transcript.pyannote[338].end 809.91284375
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 811.71846875
transcript.pyannote[339].end 812.88284375
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 813.74346875
transcript.pyannote[340].end 814.45221875
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 814.73909375
transcript.pyannote[341].end 816.88221875
transcript.pyannote[342].speaker SPEAKER_02
transcript.pyannote[342].start 817.43909375
transcript.pyannote[342].end 824.03721875
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 824.15534375
transcript.pyannote[343].end 825.77534375
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 826.21409375
transcript.pyannote[344].end 827.96909375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 829.30221875
transcript.pyannote[345].end 830.61846875
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 831.09096875
transcript.pyannote[346].end 831.71534375
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 832.17096875
transcript.pyannote[347].end 834.26346875
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 834.41534375
transcript.pyannote[348].end 835.19159375
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 836.23784375
transcript.pyannote[349].end 838.53284375
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 839.00534375
transcript.pyannote[350].end 839.66346875
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 839.95034375
transcript.pyannote[351].end 840.70971875
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 840.84471875
transcript.pyannote[352].end 841.43534375
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 841.65471875
transcript.pyannote[353].end 843.10596875
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 843.22409375
transcript.pyannote[354].end 847.29096875
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 847.93221875
transcript.pyannote[355].end 848.84346875
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 849.80534375
transcript.pyannote[356].end 850.59846875
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 850.76721875
transcript.pyannote[357].end 853.29846875
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 853.50096875
transcript.pyannote[358].end 859.17096875
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 859.60971875
transcript.pyannote[359].end 861.33096875
transcript.whisperx[0].start 4.186
transcript.whisperx[0].end 19.156
transcript.whisperx[0].text 謝謝主席 主席請一下何部長和蔡署長部長好 署長好署長我先問一個問題聽說你們勞動力發展署大樓裡面有長官的專屬電梯
transcript.whisperx[1].start 32.214
transcript.whisperx[1].end 32.855
transcript.whisperx[1].text 我現在這樣子直接講
transcript.whisperx[2].start 62.117
transcript.whisperx[2].end 86.81
transcript.whisperx[2].text 為什麼我先提電梯呢?這就是會養成一個官僚的心態啊。立法院、衛環委員會在8樓、財政委員會在9樓,我們也沒有委員專題啊。你們用了一個長官專題,我為什麼特別提出來?因為這種習性不改,你就沒有辦法痛定思痛啊。
transcript.whisperx[3].start 88.786
transcript.whisperx[3].end 98.933
transcript.whisperx[3].text 很多職場上的行為是源自一個看似無關的情況產生的
transcript.whisperx[4].start 102.745
transcript.whisperx[4].end 124.081
transcript.whisperx[4].text 我還是這一次才知道說書店分書店這麼大有專用的路好不好我直接問你啦高委那個是大樓管委會設定的大樓管理管委會不是我們管委會設定你們不能主動要求不要啊
transcript.whisperx[5].start 126.042
transcript.whisperx[5].end 147.854
transcript.whisperx[5].text 對這個這個我們我就說我就說我真的不想不想在這裡太為難你可是你們回復真的要很小心我就不相信我就不相信你們沒有要求人家特別特別弄了一個長官的的座梯然後你們你們沒有能力去去更改這個現象我才不相信就是說
transcript.whisperx[6].start 157.621
transcript.whisperx[6].end 180.53
transcript.whisperx[6].text 這個王顧的公務員啊在事發前10月22到11月1號大概每天都是早上7點多上班到下午7、8點才下班啊血汗啊你們勞動部主管全國勞工的工作權益你們自己這麼搞啊
transcript.whisperx[7].start 182.793
transcript.whisperx[7].end 208.025
transcript.whisperx[7].text 然後分署長有的時候會半夜一點五點給人家傳訊息不回隔天就修理人這個是不是事實兩件事情第一件第一件可以很明確就是就是從10月22到11月10號早上每天都是早上五點多上班到七八點這個是不是事實這是事實
transcript.whisperx[8].start 211.806
transcript.whisperx[8].end 235.142
transcript.whisperx[8].text 分署長有沒有都是把有時候會半夜1點多交付交辦事項然後或者是5點多沒有回會修理人這個是不是事實報告委員這個調查報告裡面有呈現這個部分有對不對好那欸
transcript.whisperx[9].start 239.828
transcript.whisperx[9].end 265.659
transcript.whisperx[9].text 為什麼這樣子長期超時工作的單位北分署跟勞發署是同一個辦公大樓是不是是所以嘛你們做專題嘛所以你們聽不到基層的聲音嘛你事前全部都不知道不知道北分署這麼血汗不知道你知道嗎
transcript.whisperx[10].start 269.369
transcript.whisperx[10].end 293.925
transcript.whisperx[10].text 發委員因為沒有來北分署沒有跟我們做好北分署沒有跟你做那個那我給你一個資料從謝宜榮分署長到任到去年年底北分署離職率高了一倍啊從5點多%攀升到11%多
transcript.whisperx[11].start 297.697
transcript.whisperx[11].end 323.79
transcript.whisperx[11].text 最新的統計數字今年的離職率來到13.5這麼高的離職率你作為署長你全部沒有覺得假如不是工作內容太繁複工作環境太差就是領導同意有問題你全部不告不理
transcript.whisperx[12].start 327.435
transcript.whisperx[12].end 340.122
transcript.whisperx[12].text 你任何一點感覺都沒有不覺得這種離職率太高離職的人裡面81人其中有17個是主管職務總會到你那裡吧你不覺得奇怪怪不怪報告委員這個是異常這個確實我們必須要檢討異常書定你現在承認異常
transcript.whisperx[13].start 357.54
transcript.whisperx[13].end 367.224
transcript.whisperx[13].text 那這個狀態是持續性的你為什麼要等到悲劇發生了全國的民意沸騰了你們才要檢討為什麼有收過投訴案嗎
transcript.whisperx[14].start 381.121
transcript.whisperx[14].end 399.112
transcript.whisperx[14].text 有嗎?報告委員這段時間是真的沒有沒有沒有得到投訴所以沒有投訴你們就不會從相關的數據自己去去去看看這個你看喔南分數的離職率是5%阿是北分數的三成阿三分之一阿蘇定平平是你的分數
transcript.whisperx[15].start 411.465
transcript.whisperx[15].end 439.884
transcript.whisperx[15].text 有一個離職率這麼高你們也不主動去關心看看而且還跟你同一棟辦公室好我再問剛剛組長在回復土委員的時候說謝芬組長派任前並沒有霸凌的前科對不對對不對沒有接到投訴沒有好
transcript.whisperx[16].start 441.189
transcript.whisperx[16].end 465.636
transcript.whisperx[16].text 你知道為什麼嗎?他在從是公職以來到他當分署長他的主管職務是什麼?主管歷練是什麼?他歷練過什麼組長?主管有幹過組長嗎?科長有幹過啦?科長有沒有?有有齁組長有嗎?
transcript.whisperx[17].start 470.984
transcript.whisperx[17].end 471.044
transcript.whisperx[17].text 為什麼?為什麼?
transcript.whisperx[18].start 495.206
transcript.whisperx[18].end 500.87
transcript.whisperx[18].text 跟委員報告因為是因為你們其他的副分署長都不堪用還是真的謝分署長有通天的本領
transcript.whisperx[19].start 509.224
transcript.whisperx[19].end 509.424
transcript.whisperx[19].text 是他沒有機會啊!
transcript.whisperx[20].start 542.655
transcript.whisperx[20].end 569.324
transcript.whisperx[20].text 蘇定,大家都說謝芬署長是你和徐明川前部長的愛將所以才破格任用,你有沒有什麼話要說?報告委員,蘇大德任用並不會單純去考慮這個因素因為我們完全是以能力跟他的私人性去處理好,主席不好意思我再耽誤一點點時間
transcript.whisperx[21].start 572.862
transcript.whisperx[21].end 600.421
transcript.whisperx[21].text 這種這種任用這種升格任用有算不算違反常規你直接這樣子這樣子回答就好了我不要說破格破格你們可能覺得覺得不好聽有沒有違反常規你們現在的分署長裡面跟謝分署長同樣用用這種模式升到分署長的有誰
transcript.whisperx[22].start 603.663
transcript.whisperx[22].end 620.988
transcript.whisperx[22].text 各位委員報告像以我們現在的分數其實就是要考慮到他要符合身兼的一個資格我知道啦我知道你沒有違法任用啦我現在說有沒有違反常規嘛因為他的主管歷練太少了嘛我認為就是因為他的主管任用太歷練太少所以才會爆發這件事嘛
transcript.whisperx[23].start 632.625
transcript.whisperx[23].end 643.75
transcript.whisperx[23].text 你沒有讓他有發揮領導統一能力的職務歷練你就把他提到分署長這個職務所以我光是聽錄音檔我就覺得那個不是一個政府的機關一個單位是一個幫派的堂口
transcript.whisperx[24].start 664.896
transcript.whisperx[24].end 670.099
transcript.whisperx[24].text 蘇帝努你之前跟他說有沒有違法當然沒有違法啊我現在就是問說違反常規為什麼你和許民尊部長當初當初任用他
transcript.whisperx[25].start 686.769
transcript.whisperx[25].end 701.745
transcript.whisperx[25].text 要做分署長讓你們會介意他沒有經過所長、沒有做過副署長、直接對專委空降去當分署長表示你們對他的領導同意是很有把握的嘛是不用透過其他的職務來考核你們就絕對信任嘛
transcript.whisperx[26].start 718.319
transcript.whisperx[26].end 723.402
transcript.whisperx[26].text 委員這個事我自己都要自我檢討我會自我反省署長一條人命啊
transcript.whisperx[27].start 750.609
transcript.whisperx[27].end 765.198
transcript.whisperx[27].text 你們主管全國勞工工作權益保障的單位六七年來應該做的事情不做惹出了一大堆遺憾的事啊蘇甯這六七年保甯
transcript.whisperx[28].start 777.591
transcript.whisperx[28].end 781.113
transcript.whisperx[28].text 部長很遺憾是發生在你的任內那你來趙偉廷說我真的這裡講完就結束很遺憾就是你也已經來6個月了在這段時間
transcript.whisperx[29].start 803.683
transcript.whisperx[29].end 827.771
transcript.whisperx[29].text 你沒有發現到內部有這麼嚴重的霸凌事件我覺得你也要負一些責任不是說大家為難你們因為這個是這一件事情不好好處理
transcript.whisperx[30].start 829.489
transcript.whisperx[30].end 848.595
transcript.whisperx[30].text 這件事情不好好處理我覺得我覺得全國人民對於對於執政團隊會非常的失望而且而且特別是對勞動部我剛剛講的就是我的觀察這六七年來六七年啊
transcript.whisperx[31].start 849.858
transcript.whisperx[31].end 850.018
transcript.whisperx[31].text 好,謝謝,謝謝楊曜
IVOD_ID 157199
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157199
日期 2024-11-20
會議資料.會議代碼 委員會-11-2-26-9
會議資料.屆 11
會議資料.會期 2
會議資料.會次 9
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9次全體委員會議
影片種類 Clip
開始時間 2024-11-20T13:32:38+08:00
結束時間 2024-11-20T13:46:59+08:00
支援功能[0] ai-transcript