iVOD / 165124

Field Value
IVOD_ID 165124
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165124
日期 2025-11-05
會議資料.會議代碼 委員會-11-4-15-9
會議資料.會議代碼:str 第11屆第4會期內政委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 4
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] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-11-05T12:38:28+08:00
結束時間 2025-11-05T12:45:18+08:00
影片長度 00:06:50
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0bb7d6ea348ff1d2567fbb091a07085ed470ab4440ded08e6b4ef68dc504cb3c80161a9ac653e9315ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 12:38:28 - 12:45:18
會議時間 2025-11-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第9次全體委員會議(事由:邀請內政部部長率同所屬列席報告業務概況(含上會期臨時提案辦理情形),並備質詢。 【11月5日及6日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.51596875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 2.35971875
transcript.pyannote[1].end 5.00909375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 4.41846875
transcript.pyannote[2].end 4.95846875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 5.19471875
transcript.pyannote[3].end 6.22409375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 6.22409375
transcript.pyannote[4].end 9.39659375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 9.80159375
transcript.pyannote[5].end 10.57784375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 9.81846875
transcript.pyannote[6].end 10.74659375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 11.26971875
transcript.pyannote[7].end 12.29909375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 11.50596875
transcript.pyannote[8].end 12.34971875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 12.56909375
transcript.pyannote[9].end 13.32846875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 13.53096875
transcript.pyannote[10].end 14.34096875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 15.84284375
transcript.pyannote[11].end 16.65284375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 16.75409375
transcript.pyannote[12].end 16.78784375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 16.78784375
transcript.pyannote[13].end 17.74971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 18.35721875
transcript.pyannote[14].end 19.47096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 21.12471875
transcript.pyannote[15].end 22.03596875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 22.08659375
transcript.pyannote[16].end 23.60534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 24.55034375
transcript.pyannote[17].end 25.73159375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 26.25471875
transcript.pyannote[18].end 27.73971875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 28.71846875
transcript.pyannote[19].end 29.68034375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 30.91221875
transcript.pyannote[20].end 32.43096875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 32.93721875
transcript.pyannote[21].end 33.98346875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 34.77659375
transcript.pyannote[22].end 36.09284375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 36.68346875
transcript.pyannote[23].end 37.30784375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 39.06284375
transcript.pyannote[24].end 40.32846875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 40.53096875
transcript.pyannote[25].end 41.47596875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 42.55596875
transcript.pyannote[26].end 44.83409375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 45.96471875
transcript.pyannote[27].end 47.75346875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 48.69846875
transcript.pyannote[28].end 50.63909375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 53.54159375
transcript.pyannote[29].end 55.71846875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 56.24159375
transcript.pyannote[30].end 57.87846875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 58.06409375
transcript.pyannote[31].end 59.27909375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 59.41409375
transcript.pyannote[32].end 63.02534375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 64.03784375
transcript.pyannote[33].end 64.57784375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 65.37096875
transcript.pyannote[34].end 70.19721875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 66.60284375
transcript.pyannote[35].end 67.19346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 67.66596875
transcript.pyannote[36].end 68.56034375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 70.31534375
transcript.pyannote[37].end 73.77471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 74.02784375
transcript.pyannote[38].end 74.39909375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 74.39909375
transcript.pyannote[39].end 75.15846875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 75.95159375
transcript.pyannote[40].end 78.98909375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 79.52909375
transcript.pyannote[41].end 83.98409375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 84.22034375
transcript.pyannote[42].end 87.71346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 87.71346875
transcript.pyannote[43].end 87.89909375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 87.89909375
transcript.pyannote[44].end 95.59409375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 95.96534375
transcript.pyannote[45].end 97.50096875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 97.82159375
transcript.pyannote[46].end 98.86784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 100.25159375
transcript.pyannote[47].end 100.87596875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 101.17971875
transcript.pyannote[48].end 101.71971875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 102.19221875
transcript.pyannote[49].end 104.47034375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 105.17909375
transcript.pyannote[50].end 107.67659375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 108.19971875
transcript.pyannote[51].end 110.02221875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 110.30909375
transcript.pyannote[52].end 110.54534375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 111.10221875
transcript.pyannote[53].end 111.54096875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 111.15284375
transcript.pyannote[54].end 114.03846875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 114.00471875
transcript.pyannote[55].end 114.39284375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 114.32534375
transcript.pyannote[56].end 116.56971875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 116.78909375
transcript.pyannote[57].end 122.77971875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 123.01596875
transcript.pyannote[58].end 123.85971875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 124.68659375
transcript.pyannote[59].end 126.69471875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 126.54284375
transcript.pyannote[60].end 131.45346875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 132.43221875
transcript.pyannote[61].end 133.39409375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 135.08159375
transcript.pyannote[62].end 135.45284375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 136.31346875
transcript.pyannote[63].end 136.66784375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 137.88284375
transcript.pyannote[64].end 139.68846875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 140.59971875
transcript.pyannote[65].end 141.34221875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 141.89909375
transcript.pyannote[66].end 141.94971875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 141.94971875
transcript.pyannote[67].end 141.96659375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 141.96659375
transcript.pyannote[68].end 142.03409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 142.47284375
transcript.pyannote[69].end 145.79721875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 146.79284375
transcript.pyannote[70].end 147.46784375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 147.82221875
transcript.pyannote[71].end 148.81784375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 148.54784375
transcript.pyannote[72].end 148.90221875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 149.44221875
transcript.pyannote[73].end 153.86346875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 155.29784375
transcript.pyannote[74].end 156.34409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 156.66471875
transcript.pyannote[75].end 162.41909375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 162.43596875
transcript.pyannote[76].end 162.45284375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 162.45284375
transcript.pyannote[77].end 165.30471875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 162.48659375
transcript.pyannote[78].end 163.17846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 164.24159375
transcript.pyannote[79].end 164.81534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 164.81534375
transcript.pyannote[80].end 165.60846875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 165.38909375
transcript.pyannote[81].end 165.54096875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 165.60846875
transcript.pyannote[82].end 165.69284375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 165.86159375
transcript.pyannote[83].end 165.87846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 165.87846875
transcript.pyannote[84].end 166.03034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 166.03034375
transcript.pyannote[85].end 174.82221875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 173.92784375
transcript.pyannote[86].end 179.81721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 177.60659375
transcript.pyannote[87].end 178.55159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 179.93534375
transcript.pyannote[88].end 185.28471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 181.48784375
transcript.pyannote[89].end 181.85909375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 182.80409375
transcript.pyannote[90].end 187.86659375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 188.44034375
transcript.pyannote[91].end 194.80221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 195.40971875
transcript.pyannote[92].end 198.02534375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 198.76784375
transcript.pyannote[93].end 204.79221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 205.60221875
transcript.pyannote[94].end 207.99846875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 209.17971875
transcript.pyannote[95].end 210.17534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 210.39471875
transcript.pyannote[96].end 210.91784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 211.50846875
transcript.pyannote[97].end 213.75284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 214.49534375
transcript.pyannote[98].end 215.17034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 215.89596875
transcript.pyannote[99].end 218.27534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 218.93346875
transcript.pyannote[100].end 219.22034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 220.18221875
transcript.pyannote[101].end 227.60721875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 228.23159375
transcript.pyannote[102].end 231.35346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 232.28159375
transcript.pyannote[103].end 235.03221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 235.42034375
transcript.pyannote[104].end 236.93909375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 237.58034375
transcript.pyannote[105].end 237.90096875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 238.17096875
transcript.pyannote[106].end 240.02721875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 240.66846875
transcript.pyannote[107].end 241.91721875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 242.23784375
transcript.pyannote[108].end 244.88721875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 244.73534375
transcript.pyannote[109].end 245.19096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 245.22471875
transcript.pyannote[110].end 245.24159375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 245.24159375
transcript.pyannote[111].end 245.54534375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 247.13159375
transcript.pyannote[112].end 247.14846875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 247.14846875
transcript.pyannote[113].end 247.73909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 248.93721875
transcript.pyannote[114].end 250.03409375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 250.79346875
transcript.pyannote[115].end 253.99971875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 253.99971875
transcript.pyannote[116].end 254.45534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 254.75909375
transcript.pyannote[117].end 254.82659375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 254.82659375
transcript.pyannote[118].end 255.23159375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 255.23159375
transcript.pyannote[119].end 257.91471875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 257.71221875
transcript.pyannote[120].end 258.40409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 258.40409375
transcript.pyannote[121].end 259.95659375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 259.61909375
transcript.pyannote[122].end 262.20096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 262.89284375
transcript.pyannote[123].end 263.29784375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 263.80409375
transcript.pyannote[124].end 264.78284375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 265.66034375
transcript.pyannote[125].end 266.43659375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 267.56721875
transcript.pyannote[126].end 269.05221875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 269.84534375
transcript.pyannote[127].end 275.34659375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 276.07221875
transcript.pyannote[128].end 278.38409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 279.09284375
transcript.pyannote[129].end 279.64971875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 279.71721875
transcript.pyannote[130].end 281.08409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 281.35409375
transcript.pyannote[131].end 286.95659375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 287.34471875
transcript.pyannote[132].end 289.18409375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 289.85909375
transcript.pyannote[133].end 302.53221875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 290.88846875
transcript.pyannote[134].end 291.32721875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 292.98096875
transcript.pyannote[135].end 293.67284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 302.98784375
transcript.pyannote[136].end 310.49721875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 309.11346875
transcript.pyannote[137].end 317.24721875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 318.10784375
transcript.pyannote[138].end 327.15284375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 326.15721875
transcript.pyannote[139].end 327.77721875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 328.35096875
transcript.pyannote[140].end 332.63721875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 328.41846875
transcript.pyannote[141].end 328.50284375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 334.37534375
transcript.pyannote[142].end 340.21409375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 338.20596875
transcript.pyannote[143].end 338.64471875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 340.19721875
transcript.pyannote[144].end 341.26034375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 341.85096875
transcript.pyannote[145].end 343.99409375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 344.58471875
transcript.pyannote[146].end 354.28784375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 348.58409375
transcript.pyannote[147].end 348.90471875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 348.90471875
transcript.pyannote[148].end 348.92159375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 350.33909375
transcript.pyannote[149].end 350.74409375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 351.04784375
transcript.pyannote[150].end 351.14909375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 354.84471875
transcript.pyannote[151].end 355.70534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 356.43096875
transcript.pyannote[152].end 356.97096875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 357.30846875
transcript.pyannote[153].end 358.43909375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 359.18159375
transcript.pyannote[154].end 361.10534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 361.10534375
transcript.pyannote[155].end 362.28659375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 361.15596875
transcript.pyannote[156].end 365.57721875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 366.13409375
transcript.pyannote[157].end 367.95659375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 369.13784375
transcript.pyannote[158].end 371.95596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 373.00221875
transcript.pyannote[159].end 376.96784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 377.05221875
transcript.pyannote[160].end 379.02659375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 379.36409375
transcript.pyannote[161].end 383.12721875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 383.16096875
transcript.pyannote[162].end 383.17784375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 383.19471875
transcript.pyannote[163].end 385.64159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 385.28721875
transcript.pyannote[164].end 385.84409375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 386.29971875
transcript.pyannote[165].end 389.45534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 386.95784375
transcript.pyannote[166].end 387.12659375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 390.21471875
transcript.pyannote[167].end 396.71159375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 397.28534375
transcript.pyannote[168].end 403.52909375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 403.93409375
transcript.pyannote[169].end 407.37659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 407.62971875
transcript.pyannote[170].end 408.28784375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 408.28784375
transcript.pyannote[171].end 409.70534375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 408.52409375
transcript.pyannote[172].end 408.92909375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 409.06409375
transcript.pyannote[173].end 409.55346875
transcript.whisperx[0].start 0.169
transcript.whisperx[0].end 7.554
transcript.whisperx[0].text 現在主席我請保證請老保證請老保證 請老保證 請老保證 請老保證 請老保證 請老保證 請老保證
transcript.whisperx[1].start 30.936
transcript.whisperx[1].end 37.119
transcript.whisperx[1].text 已經付多少錢了 補充補充補充喝油蔥 開記者會那時候給我們吐槽他說 哇 十幾個我開兩月八千萬就好幾個了你現在說已經補充了
transcript.whisperx[2].start 56.714
transcript.whisperx[2].end 78.702
transcript.whisperx[2].text 這八個還不包括我們機械我們買的嘛我們機械的導入就三月九成幾萬是不是導入 你說本來是東元電機的部分嗎沒有沒有 那機械我們另外出一枚喔是那是這樣 這部分你可能比較不清楚 我跟你說
transcript.whisperx[3].start 79.591
transcript.whisperx[3].end 96.526
transcript.whisperx[3].text 不可以把雙數當成非數的辦,不要這樣啦我們合計就合計,改當白白,那就是屬性嘛不然可以去說,說什麼我開兩億八千萬就隆重把這事情解決啦不需要把我們省十幾億,你聽到嗎?屬性不是啊這錢都開了,你幾年多,還負擬多少錢?幾年多,還負擬,白送的沒剩啊,兩億八千萬沒剩啊
transcript.whisperx[4].start 105.253
transcript.whisperx[4].end 120.504
transcript.whisperx[4].text 你再賦予多少錢 他說要維持多少的運轉 機械這樣子 我們這邊的資訊就是代支付的部分加上以支付9.38所以9.38扣掉8.02的話 應該是1.361億3千幾萬就對了對 連勞 還有加上政策中止的話 還會有11億多11億多
transcript.whisperx[5].start 142.979
transcript.whisperx[5].end 156.103
transcript.whisperx[5].text 這個案件中止就對了 我們還要付多少錢三億多三億多 但是如果沒有中止就對了 我們每一年都要付多少錢沒有中止
transcript.whisperx[6].start 156.741
transcript.whisperx[6].end 173.189
transcript.whisperx[6].text 如果沒有還沒中時前我們現在為了這個機械的低度運轉啊我可不可以請市長跟您回應一下好不好是跟委員報告因為現在有關中運廠的部分我們大概每年會針對折舊的部分編列4800萬所以每年要付4800萬
transcript.whisperx[7].start 177.611
transcript.whisperx[7].end 197.183
transcript.whisperx[7].text 那是 十三嘛 每一年嘛對 那個設備折舊的部分那最低維運的好 沒關係啦一千萬萬 去年我請教 這樣這件案件中他常常說的裴樂夫人又責兵阿婆要娶多個妻子 又負責很多啊 當然是那個臨保長跟我們說他開兩個八千萬都跟事情解決啦我想老保長你是不會有用這種態度來面對事情我個人對你的理解
transcript.whisperx[8].start 205.64
transcript.whisperx[8].end 207.761
transcript.whisperx[8].text 那像這個補充到經營輸掉這個詐騙 輸掉很可惜 台灣 坦白講這個查拉布的科技比我們進步得快詐騙現在已經蛻變到什麼程度 你知道嗎三合一啊 你知道嗎 我們這個民意代表的服務處每次接收到這個事情 現在多惡劣
transcript.whisperx[9].start 232.335
transcript.whisperx[9].end 236.616
transcript.whisperx[9].text 現在聽說大陸這些人都專行啊 不用怕遲遲的穿啊都穿進去用便宜的比較快的 沒錯嗎?有沒有這個趨勢?有 我們現在發現大概有這個趨勢好 來詐騙
transcript.whisperx[10].start 249.313
transcript.whisperx[10].end 266.077
transcript.whisperx[10].text 線上博弈地下錢莊變成三合一這個事情你知不知道你知道因為這個本來都是結合在一起的這都結合在一起的我每次我問起來差不多大家毫無錯誤他去線上博弈省三萬現在再來叫五萬他叫一個人叫他叫一個 要再生理學現在要討這條錢 叫另外一個叫他五萬變八萬 八萬變十六萬
transcript.whisperx[11].start 281.406
transcript.whisperx[11].end 288.873
transcript.whisperx[11].text 我想這個都是複合式的犯罪那就是詐欺博弈洗錢這個是多結合在一起的
transcript.whisperx[12].start 290.315
transcript.whisperx[12].end 310.192
transcript.whisperx[12].text 都夾到頭上我們抓也是都抓到這三個也是都抓到了抓到了我們現在抓大概都是也是在抓這樣的一個不是只有單一的這都複合式的犯罪包括抓炸雞也可以抓到這個地下錢莊也抓到洗錢的就水房的這個嘛我們這樣避開這裡讓它避免了阿簽的這裡線上有本票有什麼這樣這裡錢要怎麼省
transcript.whisperx[13].start 318.137
transcript.whisperx[13].end 332.44
transcript.whisperx[13].text 那像這些大概就是說這個他這個被害的這個狀況大概我們會有幾個方式這個在前面不會成立啦他覺得真的去面對這兩三百萬一兩百萬四五百萬的節目這個應該不是我們的範疇可能要法律上來做一個界定啦要調查才能界定啦我是希望說經濟署在辦這些案件的時候
transcript.whisperx[14].start 344.639
transcript.whisperx[14].end 352.084
transcript.whisperx[14].text 因為這重來卡到訴訟 訴訟就卡到這個被害人要去卡臨這個罪犯啊沒有啊所以你這個部分如果是在那個詐騙的流程把這裡都有 執行 甚至連你提供的司法部門喔這個我們一定會提供有可能這個被害者他就不用負擔那麼多沒有 我在說這裡差好多人耶你把他挖完 你把他挖完 錢還在 要跟你拖呢
transcript.whisperx[15].start 374.916
transcript.whisperx[15].end 387.152
transcript.whisperx[15].text 對於這些被害的整個狀況的陳述或者是證物的這個呈現我們一定會完備來做一個整備來提供給檢方來做一個 感謝你這齁 把所有被害者希望我
transcript.whisperx[16].start 390.247
transcript.whisperx[16].end 392.568
transcript.whisperx[16].text 跟經濟術表達 就是說你們辦案過程結案之後 以上的時候一定要把這個寫下去然後給被害人認得在訴訟的過程 法官可以給他面對不同的節目好不好好 沒問題 謝謝