iVOD / 159587

Field Value
IVOD_ID 159587
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159587
日期 2025-03-24
會議資料.會議代碼 委員會-11-3-20-4
會議資料.會議代碼:str 第11屆第3會期財政委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 3
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] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第4次全體委員會議
影片種類 Clip
開始時間 2025-03-24T09:59:36+08:00
結束時間 2025-03-24T10:13:08+08:00
影片長度 00:13:32
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01f072357e67ffc03a486df0670907febe2be2b26df085f9fcfba9c389d3a535ec6d484a9071cdc95ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:59:36 - 10:13:08
會議時間 2025-03-24T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第4次全體委員會議(事由:一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。 二、審查本院委員王鴻薇等26人、委員林德福等20人、委員賴士葆等20人分別擬具「預算法增訂第八十一條之一條文草案」等3案。 【3月24日及26日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.90409375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 8.26596875
transcript.pyannote[1].end 9.44721875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 12.50159375
transcript.pyannote[2].end 12.68721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 12.68721875
transcript.pyannote[3].end 13.21034375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.21034375
transcript.pyannote[4].end 13.22721875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 13.22721875
transcript.pyannote[5].end 13.29471875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 13.29471875
transcript.pyannote[6].end 13.31159375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 14.47596875
transcript.pyannote[7].end 15.25221875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 15.72471875
transcript.pyannote[8].end 17.85096875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 18.07034375
transcript.pyannote[9].end 20.60159375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 21.34409375
transcript.pyannote[10].end 22.06971875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 22.47471875
transcript.pyannote[11].end 22.66034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 23.01471875
transcript.pyannote[12].end 25.59659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 26.45721875
transcript.pyannote[13].end 27.72284375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 27.72284375
transcript.pyannote[14].end 27.73971875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 28.48221875
transcript.pyannote[15].end 28.49909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 28.49909375
transcript.pyannote[16].end 30.38909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 32.90346875
transcript.pyannote[17].end 34.86096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 35.60346875
transcript.pyannote[18].end 36.43034375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 35.63721875
transcript.pyannote[19].end 36.36284375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 36.43034375
transcript.pyannote[20].end 36.49784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 36.59909375
transcript.pyannote[21].end 37.96596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 36.86909375
transcript.pyannote[22].end 38.28659375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 37.96596875
transcript.pyannote[23].end 38.33721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 38.33721875
transcript.pyannote[24].end 38.97846875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 38.97846875
transcript.pyannote[25].end 57.00096875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 57.57471875
transcript.pyannote[26].end 58.75596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 58.90784375
transcript.pyannote[27].end 60.52784375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 61.59096875
transcript.pyannote[28].end 63.19409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 64.61159375
transcript.pyannote[29].end 65.40471875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 66.13034375
transcript.pyannote[30].end 66.80534375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 67.41284375
transcript.pyannote[31].end 68.57721875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 69.06659375
transcript.pyannote[32].end 69.75846875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 70.43346875
transcript.pyannote[33].end 74.09534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 74.12909375
transcript.pyannote[34].end 78.22971875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 79.07346875
transcript.pyannote[35].end 81.82409375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 82.71846875
transcript.pyannote[36].end 83.14034375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 83.86596875
transcript.pyannote[37].end 85.89096875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 86.31284375
transcript.pyannote[38].end 91.18971875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 92.32034375
transcript.pyannote[39].end 93.92346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 95.22284375
transcript.pyannote[40].end 95.54346875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 95.69534375
transcript.pyannote[41].end 96.06659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 96.42096875
transcript.pyannote[42].end 97.55159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 97.70346875
transcript.pyannote[43].end 99.99846875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 100.38659375
transcript.pyannote[44].end 100.99409375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 102.19221875
transcript.pyannote[45].end 102.54659375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 102.98534375
transcript.pyannote[46].end 104.21721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 104.62221875
transcript.pyannote[47].end 106.84971875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 107.55846875
transcript.pyannote[48].end 108.99284375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 109.26284375
transcript.pyannote[49].end 111.10221875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 111.64221875
transcript.pyannote[50].end 112.30034375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 112.73909375
transcript.pyannote[51].end 113.97096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 115.87784375
transcript.pyannote[52].end 118.39221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 118.89846875
transcript.pyannote[53].end 121.05846875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 121.51409375
transcript.pyannote[54].end 124.34909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 124.53471875
transcript.pyannote[55].end 125.41221875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 125.93534375
transcript.pyannote[56].end 126.61034375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 126.98159375
transcript.pyannote[57].end 128.61846875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 129.91784375
transcript.pyannote[58].end 131.99346875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 132.78659375
transcript.pyannote[59].end 133.30971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 133.96784375
transcript.pyannote[60].end 135.62159375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 136.34721875
transcript.pyannote[61].end 136.92096875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 137.19096875
transcript.pyannote[62].end 137.56221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 138.45659375
transcript.pyannote[63].end 139.01346875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 140.59971875
transcript.pyannote[64].end 141.27471875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 141.27471875
transcript.pyannote[65].end 141.34221875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 143.80596875
transcript.pyannote[66].end 143.89034375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 143.89034375
transcript.pyannote[67].end 144.53159375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 144.53159375
transcript.pyannote[68].end 145.03784375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 145.03784375
transcript.pyannote[69].end 145.32471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 145.32471875
transcript.pyannote[70].end 145.39221875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 146.23596875
transcript.pyannote[71].end 147.16409375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 150.10034375
transcript.pyannote[72].end 153.15471875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 150.26909375
transcript.pyannote[73].end 150.97784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 152.80034375
transcript.pyannote[74].end 154.43721875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 153.20534375
transcript.pyannote[75].end 154.21784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 154.80846875
transcript.pyannote[76].end 157.50846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 158.36909375
transcript.pyannote[77].end 160.00596875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 160.17471875
transcript.pyannote[78].end 161.40659375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 163.63409375
transcript.pyannote[79].end 164.54534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 165.22034375
transcript.pyannote[80].end 167.58284375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 168.39284375
transcript.pyannote[81].end 169.92846875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 170.41784375
transcript.pyannote[82].end 174.33284375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 175.90221875
transcript.pyannote[83].end 178.43346875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 178.78784375
transcript.pyannote[84].end 179.66534375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 180.15471875
transcript.pyannote[85].end 181.75784375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 181.94346875
transcript.pyannote[86].end 183.51284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 183.98534375
transcript.pyannote[87].end 186.09471875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 186.85409375
transcript.pyannote[88].end 187.86659375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 188.40659375
transcript.pyannote[89].end 189.06471875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 189.06471875
transcript.pyannote[90].end 191.84909375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 189.08159375
transcript.pyannote[91].end 189.13221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 192.01784375
transcript.pyannote[92].end 197.50221875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 197.50221875
transcript.pyannote[93].end 197.51909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 198.05909375
transcript.pyannote[94].end 199.45971875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 198.86909375
transcript.pyannote[95].end 199.52721875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 199.52721875
transcript.pyannote[96].end 200.52284375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 200.52284375
transcript.pyannote[97].end 204.65721875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 201.24846875
transcript.pyannote[98].end 202.71659375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 203.39159375
transcript.pyannote[99].end 208.20096875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 204.92721875
transcript.pyannote[100].end 204.96096875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 205.11284375
transcript.pyannote[101].end 205.31534375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 208.87596875
transcript.pyannote[102].end 209.44971875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 209.66909375
transcript.pyannote[103].end 210.63096875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 211.40721875
transcript.pyannote[104].end 212.41971875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 212.77409375
transcript.pyannote[105].end 214.19159375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 215.79471875
transcript.pyannote[106].end 217.65096875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 218.59596875
transcript.pyannote[107].end 219.91221875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 220.57034375
transcript.pyannote[108].end 221.81909375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 222.32534375
transcript.pyannote[109].end 223.13534375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 223.50659375
transcript.pyannote[110].end 223.82721875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 223.94534375
transcript.pyannote[111].end 226.22346875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 226.40909375
transcript.pyannote[112].end 228.58596875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 229.56471875
transcript.pyannote[113].end 230.99909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 231.84284375
transcript.pyannote[114].end 234.52596875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 235.21784375
transcript.pyannote[115].end 237.02346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 237.24284375
transcript.pyannote[116].end 238.20471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 237.37784375
transcript.pyannote[117].end 237.54659375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 239.03159375
transcript.pyannote[118].end 242.33909375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 243.58784375
transcript.pyannote[119].end 245.54534375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 245.76471875
transcript.pyannote[120].end 247.14846875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 247.26659375
transcript.pyannote[121].end 248.54909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 248.92034375
transcript.pyannote[122].end 249.76409375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 250.11846875
transcript.pyannote[123].end 251.06346875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 251.92409375
transcript.pyannote[124].end 252.26159375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 252.54846875
transcript.pyannote[125].end 254.05034375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 255.38346875
transcript.pyannote[126].end 256.83471875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 257.40846875
transcript.pyannote[127].end 258.96096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 259.55159375
transcript.pyannote[128].end 263.41596875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 265.27221875
transcript.pyannote[129].end 268.39409375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 269.82846875
transcript.pyannote[130].end 271.75221875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 272.25846875
transcript.pyannote[131].end 275.27909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 276.12284375
transcript.pyannote[132].end 277.82721875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 277.97909375
transcript.pyannote[133].end 280.07159375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 280.86471875
transcript.pyannote[134].end 283.91909375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 284.91471875
transcript.pyannote[135].end 286.61909375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 287.27721875
transcript.pyannote[136].end 293.57159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 294.97221875
transcript.pyannote[137].end 296.54159375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 297.58784375
transcript.pyannote[138].end 304.81034375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 305.36721875
transcript.pyannote[139].end 305.94096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 306.24471875
transcript.pyannote[140].end 306.54846875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 307.15596875
transcript.pyannote[141].end 309.07971875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 309.56909375
transcript.pyannote[142].end 310.49721875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 311.05409375
transcript.pyannote[143].end 312.52221875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 313.53471875
transcript.pyannote[144].end 313.92284375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 314.19284375
transcript.pyannote[145].end 315.20534375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 315.35721875
transcript.pyannote[146].end 316.70721875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 317.70284375
transcript.pyannote[147].end 320.60534375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 320.97659375
transcript.pyannote[148].end 324.01409375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 324.21659375
transcript.pyannote[149].end 326.83221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 327.64221875
transcript.pyannote[150].end 328.65471875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 330.08909375
transcript.pyannote[151].end 333.43034375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 333.97034375
transcript.pyannote[152].end 338.32409375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 338.49284375
transcript.pyannote[153].end 345.12471875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 343.97721875
transcript.pyannote[154].end 345.64784375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 345.64784375
transcript.pyannote[155].end 364.96971875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 350.08596875
transcript.pyannote[156].end 352.21221875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 354.87846875
transcript.pyannote[157].end 356.19471875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 364.29471875
transcript.pyannote[158].end 364.71659375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 364.96971875
transcript.pyannote[159].end 366.20159375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 367.60221875
transcript.pyannote[160].end 375.75284375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 376.42784375
transcript.pyannote[161].end 378.73971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 379.14471875
transcript.pyannote[162].end 382.36784375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 382.50284375
transcript.pyannote[163].end 384.76409375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 385.32096875
transcript.pyannote[164].end 387.63284375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 387.86909375
transcript.pyannote[165].end 389.03346875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 389.37096875
transcript.pyannote[166].end 390.02909375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 390.68721875
transcript.pyannote[167].end 392.17221875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 392.93159375
transcript.pyannote[168].end 393.96096875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 394.78784375
transcript.pyannote[169].end 395.88471875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 396.40784375
transcript.pyannote[170].end 399.49596875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 400.22159375
transcript.pyannote[171].end 401.68971875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 402.93846875
transcript.pyannote[172].end 403.30971875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 404.30534375
transcript.pyannote[173].end 404.77784375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 405.23346875
transcript.pyannote[174].end 407.47784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 408.00096875
transcript.pyannote[175].end 411.46034375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 411.84846875
transcript.pyannote[176].end 414.90284375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 415.69596875
transcript.pyannote[177].end 420.23534375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 420.74159375
transcript.pyannote[178].end 425.02784375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 425.23034375
transcript.pyannote[179].end 431.03534375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 431.27159375
transcript.pyannote[180].end 434.78159375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 435.08534375
transcript.pyannote[181].end 439.01721875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 439.96221875
transcript.pyannote[182].end 440.48534375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 440.70471875
transcript.pyannote[183].end 442.10534375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 442.35846875
transcript.pyannote[184].end 442.71284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 443.10096875
transcript.pyannote[185].end 443.82659375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 444.07971875
transcript.pyannote[186].end 444.77159375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 446.05409375
transcript.pyannote[187].end 446.56034375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 446.66159375
transcript.pyannote[188].end 447.10034375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 449.31096875
transcript.pyannote[189].end 451.03221875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 451.69034375
transcript.pyannote[190].end 453.27659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 455.08221875
transcript.pyannote[191].end 456.80346875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 457.30971875
transcript.pyannote[192].end 458.59221875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 457.66409375
transcript.pyannote[193].end 458.50784375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 459.25034375
transcript.pyannote[194].end 461.00534375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 460.95471875
transcript.pyannote[195].end 463.33409375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 464.07659375
transcript.pyannote[196].end 466.32096875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 466.32096875
transcript.pyannote[197].end 467.02971875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 467.28284375
transcript.pyannote[198].end 467.99159375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 469.20659375
transcript.pyannote[199].end 470.52284375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 471.06284375
transcript.pyannote[200].end 474.60659375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 475.77096875
transcript.pyannote[201].end 476.29409375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 477.12096875
transcript.pyannote[202].end 478.11659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 478.47096875
transcript.pyannote[203].end 480.90096875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 481.10346875
transcript.pyannote[204].end 482.75721875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 483.09471875
transcript.pyannote[205].end 485.11971875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 485.33909375
transcript.pyannote[206].end 487.48221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 488.47784375
transcript.pyannote[207].end 491.22846875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 491.24534375
transcript.pyannote[208].end 493.64159375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 495.70034375
transcript.pyannote[209].end 498.43409375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 499.31159375
transcript.pyannote[210].end 499.78409375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 500.57721875
transcript.pyannote[211].end 503.24346875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 504.13784375
transcript.pyannote[212].end 505.03221875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 505.06596875
transcript.pyannote[213].end 506.63534375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 507.56346875
transcript.pyannote[214].end 509.26784375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 509.55471875
transcript.pyannote[215].end 512.01846875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 512.35596875
transcript.pyannote[216].end 513.50346875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 514.19534375
transcript.pyannote[217].end 515.20784375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 515.49471875
transcript.pyannote[218].end 516.00096875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 516.20346875
transcript.pyannote[219].end 517.51971875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 518.70096875
transcript.pyannote[220].end 518.97096875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 519.67971875
transcript.pyannote[221].end 520.05096875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 520.67534375
transcript.pyannote[222].end 522.26159375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 522.26159375
transcript.pyannote[223].end 522.37971875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 522.37971875
transcript.pyannote[224].end 523.02096875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 523.02096875
transcript.pyannote[225].end 523.03784375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 523.84784375
transcript.pyannote[226].end 524.40471875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 524.82659375
transcript.pyannote[227].end 525.77159375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 525.95721875
transcript.pyannote[228].end 538.95096875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 534.22596875
transcript.pyannote[229].end 536.03159375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 536.95971875
transcript.pyannote[230].end 539.15346875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 539.44034375
transcript.pyannote[231].end 539.86221875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 539.86221875
transcript.pyannote[232].end 545.34659375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 539.98034375
transcript.pyannote[233].end 540.43596875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 540.60471875
transcript.pyannote[234].end 541.53284375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 541.80284375
transcript.pyannote[235].end 543.89534375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 544.11471875
transcript.pyannote[236].end 545.75159375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 545.90346875
transcript.pyannote[237].end 547.50659375
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 547.89471875
transcript.pyannote[238].end 561.15846875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 548.90721875
transcript.pyannote[239].end 549.97034375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 551.18534375
transcript.pyannote[240].end 551.20221875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 551.20221875
transcript.pyannote[241].end 552.01221875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 552.01221875
transcript.pyannote[242].end 552.09659375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 561.78284375
transcript.pyannote[243].end 566.96346875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 566.96346875
transcript.pyannote[244].end 566.98034375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 566.98034375
transcript.pyannote[245].end 566.99721875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 566.99721875
transcript.pyannote[246].end 571.01346875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 571.01346875
transcript.pyannote[247].end 586.50471875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 574.28721875
transcript.pyannote[248].end 576.29534375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 578.43846875
transcript.pyannote[249].end 581.79659375
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 585.67784375
transcript.pyannote[250].end 589.01909375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 586.75784375
transcript.pyannote[251].end 587.06159375
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 589.33971875
transcript.pyannote[252].end 595.85346875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 591.61784375
transcript.pyannote[253].end 597.97971875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 598.28346875
transcript.pyannote[254].end 598.84034375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 599.66721875
transcript.pyannote[255].end 601.06784375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 601.47284375
transcript.pyannote[256].end 602.82284375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 603.16034375
transcript.pyannote[257].end 605.87721875
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 606.36659375
transcript.pyannote[258].end 623.39346875
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 607.56471875
transcript.pyannote[259].end 607.95284375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 609.79221875
transcript.pyannote[260].end 610.48409375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 610.55159375
transcript.pyannote[261].end 612.40784375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 616.76159375
transcript.pyannote[262].end 618.41534375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 618.41534375
transcript.pyannote[263].end 618.55034375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 620.82846875
transcript.pyannote[264].end 620.96346875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 622.43159375
transcript.pyannote[265].end 629.95784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 630.09284375
transcript.pyannote[266].end 630.97034375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 630.16034375
transcript.pyannote[267].end 630.58221875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 631.64534375
transcript.pyannote[268].end 638.04096875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 634.91909375
transcript.pyannote[269].end 635.72909375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 638.61471875
transcript.pyannote[270].end 638.96909375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 638.96909375
transcript.pyannote[271].end 640.25159375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 640.52159375
transcript.pyannote[272].end 640.53846875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 640.53846875
transcript.pyannote[273].end 643.32284375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 644.03159375
transcript.pyannote[274].end 644.74034375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 644.99346875
transcript.pyannote[275].end 646.03971875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 646.79909375
transcript.pyannote[276].end 647.71034375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 648.77346875
transcript.pyannote[277].end 650.12346875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 650.61284375
transcript.pyannote[278].end 652.90784375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 654.13971875
transcript.pyannote[279].end 654.98346875
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 654.98346875
transcript.pyannote[280].end 655.00034375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 656.19846875
transcript.pyannote[281].end 656.21534375
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 656.21534375
transcript.pyannote[282].end 657.59909375
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 658.64534375
transcript.pyannote[283].end 662.59409375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 662.94846875
transcript.pyannote[284].end 663.99471875
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 665.31096875
transcript.pyannote[285].end 673.79909375
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 673.86659375
transcript.pyannote[286].end 675.60471875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 674.49096875
transcript.pyannote[287].end 678.06846875
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 678.97971875
transcript.pyannote[288].end 679.14846875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 679.14846875
transcript.pyannote[289].end 679.21596875
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 679.21596875
transcript.pyannote[290].end 683.99159375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 679.24971875
transcript.pyannote[291].end 679.87409375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 682.40534375
transcript.pyannote[292].end 683.02971875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 683.02971875
transcript.pyannote[293].end 683.04659375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 683.04659375
transcript.pyannote[294].end 683.06346875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 683.99159375
transcript.pyannote[295].end 684.12659375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 684.12659375
transcript.pyannote[296].end 686.74221875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 685.03784375
transcript.pyannote[297].end 685.30784375
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 685.34159375
transcript.pyannote[298].end 685.42596875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 685.42596875
transcript.pyannote[299].end 685.44284375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 685.44284375
transcript.pyannote[300].end 685.96596875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 686.75909375
transcript.pyannote[301].end 686.77596875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 686.99534375
transcript.pyannote[302].end 687.01221875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 687.01221875
transcript.pyannote[303].end 688.05846875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 687.13034375
transcript.pyannote[304].end 687.55221875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 687.55221875
transcript.pyannote[305].end 687.78846875
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 688.36221875
transcript.pyannote[306].end 689.54346875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 689.86409375
transcript.pyannote[307].end 690.45471875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 694.06596875
transcript.pyannote[308].end 695.93909375
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 696.22596875
transcript.pyannote[309].end 700.37721875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 702.30096875
transcript.pyannote[310].end 702.33471875
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 702.33471875
transcript.pyannote[311].end 703.48221875
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 705.01784375
transcript.pyannote[312].end 706.19909375
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 706.89096875
transcript.pyannote[313].end 710.65409375
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 710.92409375
transcript.pyannote[314].end 714.46784375
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 714.46784375
transcript.pyannote[315].end 714.48471875
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 714.85596875
transcript.pyannote[316].end 714.97409375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 714.97409375
transcript.pyannote[317].end 715.48034375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 716.25659375
transcript.pyannote[318].end 716.27346875
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 716.27346875
transcript.pyannote[319].end 718.90596875
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 718.97346875
transcript.pyannote[320].end 719.41221875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 719.64846875
transcript.pyannote[321].end 723.41159375
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 723.59721875
transcript.pyannote[322].end 724.44096875
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 724.96409375
transcript.pyannote[323].end 725.58846875
transcript.pyannote[324].speaker SPEAKER_02
transcript.pyannote[324].start 726.07784375
transcript.pyannote[324].end 726.48284375
transcript.pyannote[325].speaker SPEAKER_02
transcript.pyannote[325].start 727.25909375
transcript.pyannote[325].end 727.95096875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 728.03534375
transcript.pyannote[326].end 729.25034375
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 729.65534375
transcript.pyannote[327].end 730.46534375
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 731.42721875
transcript.pyannote[328].end 732.22034375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 733.01346875
transcript.pyannote[329].end 734.43096875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 734.66721875
transcript.pyannote[330].end 736.48971875
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 737.24909375
transcript.pyannote[331].end 738.51471875
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 738.54846875
transcript.pyannote[332].end 743.47596875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 743.89784375
transcript.pyannote[333].end 746.15909375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 746.54721875
transcript.pyannote[334].end 747.81284375
transcript.pyannote[335].speaker SPEAKER_02
transcript.pyannote[335].start 748.35284375
transcript.pyannote[335].end 750.37784375
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 751.12034375
transcript.pyannote[336].end 753.14534375
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 753.14534375
transcript.pyannote[337].end 753.16221875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 753.24659375
transcript.pyannote[338].end 753.26346875
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 753.26346875
transcript.pyannote[339].end 754.05659375
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 754.51221875
transcript.pyannote[340].end 755.03534375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 755.03534375
transcript.pyannote[341].end 755.76096875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 755.96346875
transcript.pyannote[342].end 759.06846875
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 759.45659375
transcript.pyannote[343].end 766.32471875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 766.71284375
transcript.pyannote[344].end 774.45846875
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 774.66096875
transcript.pyannote[345].end 776.73659375
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 777.12471875
transcript.pyannote[346].end 784.65096875
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 784.97159375
transcript.pyannote[347].end 788.61659375
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 786.23721875
transcript.pyannote[348].end 786.96284375
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 789.73034375
transcript.pyannote[349].end 792.17721875
transcript.pyannote[350].speaker SPEAKER_00
transcript.pyannote[350].start 792.29534375
transcript.pyannote[350].end 794.13471875
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 794.60721875
transcript.pyannote[351].end 795.78846875
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 796.24409375
transcript.pyannote[352].end 796.71659375
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 797.12159375
transcript.pyannote[353].end 797.62784375
transcript.pyannote[354].speaker SPEAKER_00
transcript.pyannote[354].start 798.11721875
transcript.pyannote[354].end 804.07409375
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 798.50534375
transcript.pyannote[355].end 798.74159375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 800.85096875
transcript.pyannote[356].end 801.34034375
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 803.39909375
transcript.pyannote[357].end 804.34409375
transcript.pyannote[358].speaker SPEAKER_00
transcript.pyannote[358].start 805.03596875
transcript.pyannote[358].end 806.95971875
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 810.82409375
transcript.pyannote[359].end 812.03909375
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 1.05
transcript.whisperx[0].text 謝謝主席 幾個先進我們柯總統在這裡
transcript.whisperx[1].start 26.516
transcript.whisperx[1].end 29.422
transcript.whisperx[1].text 我就先請我們的主計長好不好 陳主計長好 主計長 陳主計長來
transcript.whisperx[2].start 35.949
transcript.whisperx[2].end 59.074
transcript.whisperx[2].text 這剛才老柯好不容易今天大駕光臨說買票那你在罵蔡英文蔡英文上一次就發六千塊你在罵蔡英文現在越來越大罵蔡英文還有剛才吳秉瑞委員不斷地強調一直在講我所以我一定要回一下這裡面不要忘了他裡面都講錯
transcript.whisperx[3].start 66.194
transcript.whisperx[3].end 81.181
transcript.whisperx[3].text 今天卓榮特院長提總預算的預算案是有詢答的不是直接表決 真言說真話不要這樣子講喔 不要只是惡鬥而已喔
transcript.whisperx[4].start 83.942
transcript.whisperx[4].end 85.203
transcript.whisperx[4].text 我請教主計總署的主計長
transcript.whisperx[5].start 107.948
transcript.whisperx[5].end 112.99
transcript.whisperx[5].text 3月21號 電價審議委員會 破天荒啦家庭用戶跟小店家11%產業5% 平均是6% 央行總裁說本來是8%啦我請問你 請問你啦 組織組織有派人去嗎
transcript.whisperx[6].start 130.484
transcript.whisperx[6].end 141.575
transcript.whisperx[6].text 這個電駕審議委員會有沒有派人去?有沒有?時間快了,我出局了你不知道喔?沒有確定喔?確定喔?這時間暫停一下啦,都在錄你有去嗎?
transcript.whisperx[7].start 150.154
transcript.whisperx[7].end 161.299
transcript.whisperx[7].text 有派我們有的承辦員去他們有派人啊這足距種族怎麼會沒有派人去啊為什麼長小戶放大戶呢這個東西啊大家都知道這個結果一查出來就是司馬懿啊講的啦這個司馬昭智興啊 路人皆知啊
transcript.whisperx[8].start 176.036
transcript.whisperx[8].end 197.094
transcript.whisperx[8].text 是什麼 為了大罷免 天才火啊 你看 普羅大眾 把你氣成這樣 帳要算在野黨的啦就是這樣而已 就這樣子而已 你也不要講他不要講我 因為這個審議委員會不是你決定的 你也沒有去啊 你給我去
transcript.whisperx[9].start 198.255
transcript.whisperx[9].end 202.656
transcript.whisperx[9].text 我跟委員 你也沒去我沒去 但是我要跟委員說這是會前會而來沒有去不要講話沒有去就不要講話這個很清楚就是行政院他的遙控
transcript.whisperx[10].start 218.623
transcript.whisperx[10].end 241.937
transcript.whisperx[10].text 因為我們不給他補貼一千億喔所以呢我就張你們架讓你們去找南北的立委來算帳再說 主席長我們過去補貼台電三千億啊你仔細聽啊 你不要看那個仔細聽我講補了三千億 四年漲五次啊
transcript.whisperx[11].start 243.829
transcript.whisperx[11].end 268.226
transcript.whisperx[11].text 我公開質詢郭志輝我說我給你一千億是不是你就不漲價他不承諾啊 照漲啊給了三千億給了三千億四年漲五次最近漲的是去年十月到現在不到一年 又要漲又要漲 更加凸顯我們今天案子的重要性
transcript.whisperx[12].start 269.878
transcript.whisperx[12].end 288.885
transcript.whisperx[12].text 既然你都一直要欺負老百姓那個補1000億也是老百姓的錢那不是天上掉下來也不是大風刮來的是我們的納稅的錢補台電錯誤的人員政策核電一度1.4塊錢不用要用4塊錢、5塊錢、6塊錢的光電、風電沒有認真cost down
transcript.whisperx[13].start 297.745
transcript.whisperx[13].end 311.951
transcript.whisperx[13].text 四年漲五次這幾年我們給了三千億每年漲啊這是一個漲價內閣啊所以我們主席講貪污內閣主席講得很接近了
transcript.whisperx[14].start 314.245
transcript.whisperx[14].end 328.041
transcript.whisperx[14].text 這個 更加凸顯普發現金的重要老百姓不要人老 又企業企到這樣以前買一個 下次買半個所以普發現金給大家交電費就是這樣而已
transcript.whisperx[15].start 330.294
transcript.whisperx[15].end 354.931
transcript.whisperx[15].text 你現在可以講一下 講差不多三十秒 我跟委員報告我們主要是在彌補他對民生電價他以前年度他沒有漲價的這一個部分那這一個部分估計起來也將近漲價不是你漲的啊你一直維持民生電價的部分沒有漲那這一個部分漲到十一趴 要漲十一趴他是後來漲三次 但是前面的部分
transcript.whisperx[16].start 356.772
transcript.whisperx[16].end 379.644
transcript.whisperx[16].text 他總共有2800億左右的一個部分他都沒有彌平所以後來我們編追加再追加為什麼他不用核電一度童子田都說我們一年用3000億度電如果通通改成核電就省3000億當然不可能通通要核電差不多學者都說20%20%就是600億度電一度省一塊錢不只一塊錢喔
transcript.whisperx[17].start 385.347
transcript.whisperx[17].end 401.582
transcript.whisperx[17].text 一度省3塊錢就1000多億就出來了啊我根本不需要補貼啊改成核電就有了啊你現在1.4那你風電、光電4塊錢以上我一度差3塊錢啊我就1000多億就有了啊
transcript.whisperx[18].start 402.944
transcript.whisperx[18].end 423.59
transcript.whisperx[18].text 對不對 現在修法 蔡英文給你弄好了美國壓力來了 美國爸爸還說叫我們用核電為什麼不順勢去走下去就都改觀 不要補一千億 也不要漲價我們立法院還做了決議 所以不可以漲價咧你們照常啊
transcript.whisperx[19].start 425.43
transcript.whisperx[19].end 453.129
transcript.whisperx[19].text 市民力如霧啊就這樣啊這是你都沒有回答啦但是我是跟你講清楚我是跟你講清楚你要聽進去你告訴主委院長這個代表普發現金來繳電費太重要了真的老百姓不要懶惰啦我們再看啊主席人數主席長來我們現在總預算開始又沒有新的 新公佈的總預算
transcript.whisperx[20].start 455.417
transcript.whisperx[20].end 472.721
transcript.whisperx[20].text 是有公告了是不是開始可以使用了對 已經開始用了那軍公教條新是不是開始調了軍公教條新是可以調了可以調了喔 確定喔這是你自己講的喔今年的預算比去年多了1368億
transcript.whisperx[21].start 475.996
transcript.whisperx[21].end 503.138
transcript.whisperx[21].text 結果我們的院長 大院長還說總預算之外還是多了一千多億內政部多四百億 國防部多四百億國防部前幾天 顧立雄接受馬文君的質詢他說 海昆豪一毛錢都沒有刪對不對 還有呢 教育部多了三百億外務部多了三百零六億 這都你的數字啊
transcript.whisperx[22].start 504.201
transcript.whisperx[22].end 510.59
transcript.whisperx[22].text 怎麼會說沒有錢呢怎麼會衛生紙沒有呢怎麼說廁所裡面的衛生紙給你炸呢怎麼會這樣子呢你自己講的陳組計長
transcript.whisperx[23].start 519.727
transcript.whisperx[23].end 547.264
transcript.whisperx[23].text 你看 你就被我們的總委員長打臉來 你講是 因為我們增加了都是公共建設包括勞健保但是減的他都減在特定的項目譬如說減業務譬如說整個集團減到為0我們現在就來講一個東西什麼補救 你總是要有個補救對不對可以不可以追加給女生可以不可以追加給女生
transcript.whisperx[24].start 547.904
transcript.whisperx[24].end 567.154
transcript.whisperx[24].text 可以追加檢預算 但是時間來不及因為追加檢預算的話 如果通過的時候我們現在縱使3月要公佈以後才可以開始籌編公佈了 已經公佈了公佈開始籌編 但是要有作業的時間那送到貴會來審查 通過的時候就將近6月將近6月沒關係 開業一位
transcript.whisperx[25].start 569.435
transcript.whisperx[25].end 588.601
transcript.whisperx[25].text 我們研會也要幫你審啊沒有問題啊但是這段時間沒有錢支出啊這段時間有的主要都沒有錢捏有的撿到領的他完全隨時會付不出來除了監察院以外啦其他沒有啦還有還有黨產會啊這些都有撿到領的那你就撿到領就用第二倍金可以不
transcript.whisperx[26].start 589.381
transcript.whisperx[26].end 603.988
transcript.whisperx[26].text 第二億北京還要報立法院所以我問你喔因為我時間快到了齁我今天在不太有時間第一個可以用追加減預算可以用第二億北京來解決你講的問題對吧
transcript.whisperx[27].start 606.409
transcript.whisperx[27].end 629.506
transcript.whisperx[27].text 但是跟委員報告有追加減預算有追加減預算的條件第二預備金可以嗎第二預備金只能針對部分的執行有困難的部分執行有困難已經不講了嗎這個部分也必須要報到院裡面來讓院裡面報我請問那個中選會那個他現在都行政院的第二預備金那個可以嗎對不對
transcript.whisperx[28].start 632.261
transcript.whisperx[28].end 657.568
transcript.whisperx[28].text 啊 錯誤的戰爭是比貪汙一百倍可怕我剛剛是這樣子你時間怎麼這麼快 你給我說一下齁那個 那個 主席長啊是有時候就跟你啊 好好的跟你講是我就問你第二一倍均PLUS追加減預算是不是可以解你的問題 是不是呃 呃可以不可以可以不可以 你回答我 可以不可以
transcript.whisperx[29].start 658.669
transcript.whisperx[29].end 677.748
transcript.whisperx[29].text 因為我們第二預備金以目前來講的話如果被刪減的那個部分要辦追加那個部分沒有辦法為什麼沒有辦法一切歸零啊就可以開始追加減了怎麼不可以呢
transcript.whisperx[30].start 679.311
transcript.whisperx[30].end 686.638
transcript.whisperx[30].text 不是 歸零的追加減他會來不及可以啦請那個沈記長來一下沈記長來來來沈記長陳沈記長把事情釐清來 謝謝在國會殿堂要講真話喔沈記長你們這位副主記長可以不可以用
transcript.whisperx[31].start 705.063
transcript.whisperx[31].end 730.09
transcript.whisperx[31].text 第二位北京來處理第二位北京 凍住第二位北京有四個條件好啦 現在我時間到不要講條件了齁我現在告訴你齁 主席長我是很失望你今天給我這樣答案啦因為你來找我的時候你就講兩個追加錢預算PLUS PLUS齁特別就是第二位北京我都跟你說
transcript.whisperx[32].start 731.922
transcript.whisperx[32].end 749.53
transcript.whisperx[32].text 我絕對歡迎我都非常正面的回應結果今天來這裡 怎麼那麼矜持矜持 我覺得我對你的時候 沒想到我以前對你很尊敬來 我們讓神經長講一句話你對於現在人家講的人家講的那個陽光啊 兩千
transcript.whisperx[33].start 751.155
transcript.whisperx[33].end 776.47
transcript.whisperx[33].text 你的鄰居有問題 你怎麼處理 陽廣 兩千筆的 這怎麼處理因為陽廣是財團法人 財團法人法 這個屬於文化部督導文化部要負責監督 你要不要查文化部已經移送檢調了 你可不可以查任何動用國家主義人 我都可以查所以 請問你什麼時候要去查
transcript.whisperx[34].start 777.21
transcript.whisperx[34].end 799.075
transcript.whisperx[34].text 因為這個已經文化部委託會計書查過了但是你還是可以查啊我們會做一些了解我要求你去查可以嗎我們會 你有要求的話我們會進行了解好 什麼時候開始我們一個月你可以嗎因為我們整個一個月可以嗎一個月可以嗎
transcript.whisperx[35].start 805.825
transcript.whisperx[35].end 806.246
transcript.whisperx[35].text 應該可以好 謝謝