iVOD / 167155

Field Value
IVOD_ID 167155
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167155
日期 2026-01-19
會議資料.會議代碼 委員會-11-4-15-21
會議資料.會議代碼:str 第11屆第4會期內政委員會第21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 21
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21次全體委員會議
影片種類 Clip
開始時間 2026-01-19T09:50:05+08:00
結束時間 2026-01-19T10:00:10+08:00
影片長度 00:10:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4ba512932926f851f552f1a5ce8d64da75d69df13e4e8eda247638a9beb78aaba488f48b86ec085f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 09:50:05 - 10:00:10
會議時間 2026-01-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第21次全體委員會議(事由:一、邀請原住民族委員會主任委員率同所屬及財團法人原住民族文化事業基金會董事長與財團法人原住民族語言研究發展基金會董事長列席報告業務概況,並備質詢。二、邀請內政部部長就「賴清德總統興建13萬戶社會住宅政策無法落實之檢討」進行專題報告並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.81909375
transcript.pyannote[0].end 10.25721875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 10.25721875
transcript.pyannote[1].end 11.18534375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 16.16346875
transcript.pyannote[2].end 16.90596875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 17.05784375
transcript.pyannote[3].end 17.44596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.34034375
transcript.pyannote[4].end 20.02784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.88846875
transcript.pyannote[5].end 21.83346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.35659375
transcript.pyannote[6].end 23.45346875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 24.06096875
transcript.pyannote[7].end 25.81596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 26.47409375
transcript.pyannote[8].end 27.94221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.36409375
transcript.pyannote[9].end 31.85721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.49846875
transcript.pyannote[10].end 34.42221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 35.48534375
transcript.pyannote[11].end 37.10534375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 37.44284375
transcript.pyannote[12].end 38.92784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 39.40034375
transcript.pyannote[13].end 40.68284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 41.10471875
transcript.pyannote[14].end 41.89784375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 42.60659375
transcript.pyannote[15].end 45.13784375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 45.71159375
transcript.pyannote[16].end 48.20909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 48.83346875
transcript.pyannote[17].end 49.72784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 49.79534375
transcript.pyannote[18].end 50.90909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 51.70221875
transcript.pyannote[19].end 55.07721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 55.70159375
transcript.pyannote[20].end 57.13596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 57.76034375
transcript.pyannote[21].end 59.32971875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 60.29159375
transcript.pyannote[22].end 62.16471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 62.94096875
transcript.pyannote[23].end 64.25721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 64.83096875
transcript.pyannote[24].end 67.05846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 67.42971875
transcript.pyannote[25].end 68.71221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 69.38721875
transcript.pyannote[26].end 70.82159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 71.09159375
transcript.pyannote[27].end 72.47534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 73.04909375
transcript.pyannote[28].end 74.60159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 75.12471875
transcript.pyannote[29].end 77.63909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 78.28034375
transcript.pyannote[30].end 79.34346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 79.86659375
transcript.pyannote[31].end 81.03096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 81.73971875
transcript.pyannote[32].end 82.16159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 82.66784375
transcript.pyannote[33].end 86.53221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 87.30846875
transcript.pyannote[34].end 88.45596875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 89.23221875
transcript.pyannote[35].end 90.43034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 91.29096875
transcript.pyannote[36].end 92.94471875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 93.31596875
transcript.pyannote[37].end 95.40846875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 95.91471875
transcript.pyannote[38].end 96.77534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 97.31534375
transcript.pyannote[39].end 97.70346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 98.07471875
transcript.pyannote[40].end 100.04909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 100.65659375
transcript.pyannote[41].end 103.67721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 104.06534375
transcript.pyannote[42].end 105.22971875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 105.63471875
transcript.pyannote[43].end 107.13659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 107.38971875
transcript.pyannote[44].end 110.12346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 110.62971875
transcript.pyannote[45].end 112.30034375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 112.82346875
transcript.pyannote[46].end 116.26596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 116.82284375
transcript.pyannote[47].end 118.44284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 119.05034375
transcript.pyannote[48].end 120.28221875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 120.88971875
transcript.pyannote[49].end 124.34909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 124.83846875
transcript.pyannote[50].end 128.88846875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 129.68159375
transcript.pyannote[51].end 130.35659375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 130.72784375
transcript.pyannote[52].end 131.72346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 132.06096875
transcript.pyannote[53].end 134.05221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 134.74409375
transcript.pyannote[54].end 136.38096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 137.24159375
transcript.pyannote[55].end 138.08534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 138.55784375
transcript.pyannote[56].end 139.11471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 139.84034375
transcript.pyannote[57].end 143.08034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 143.60346875
transcript.pyannote[58].end 145.25721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 145.71284375
transcript.pyannote[59].end 148.27784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 148.76721875
transcript.pyannote[60].end 150.94409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 151.73721875
transcript.pyannote[61].end 153.17159375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 153.30659375
transcript.pyannote[62].end 154.77471875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 155.19659375
transcript.pyannote[63].end 156.32721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 156.85034375
transcript.pyannote[64].end 158.79096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 158.92596875
transcript.pyannote[65].end 161.20409375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 161.86221875
transcript.pyannote[66].end 163.19534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 163.73534375
transcript.pyannote[67].end 166.65471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 167.44784375
transcript.pyannote[68].end 169.21971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 169.89471875
transcript.pyannote[69].end 172.00409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 172.49346875
transcript.pyannote[70].end 174.34971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 175.34534375
transcript.pyannote[71].end 177.96096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 178.82159375
transcript.pyannote[72].end 180.34034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 180.98159375
transcript.pyannote[73].end 186.36471875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 186.58409375
transcript.pyannote[74].end 188.64284375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 188.94659375
transcript.pyannote[75].end 192.11909375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 192.70971875
transcript.pyannote[76].end 195.54471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 196.05096875
transcript.pyannote[77].end 197.18159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 197.46846875
transcript.pyannote[78].end 198.76784375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 199.42596875
transcript.pyannote[79].end 201.31596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 201.58596875
transcript.pyannote[80].end 202.91909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 203.17221875
transcript.pyannote[81].end 204.23534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 204.79221875
transcript.pyannote[82].end 207.40784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 207.88034375
transcript.pyannote[83].end 210.22596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 211.01909375
transcript.pyannote[84].end 213.16221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 213.68534375
transcript.pyannote[85].end 218.79846875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 219.00096875
transcript.pyannote[86].end 224.85659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 225.05909375
transcript.pyannote[87].end 228.94034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 229.91909375
transcript.pyannote[88].end 231.99471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 232.48409375
transcript.pyannote[89].end 236.04471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 236.53409375
transcript.pyannote[90].end 238.37346875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 238.91346875
transcript.pyannote[91].end 240.09471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 240.68534375
transcript.pyannote[92].end 241.68096875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 241.86659375
transcript.pyannote[93].end 243.19971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 243.58784375
transcript.pyannote[94].end 245.03909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 245.56221875
transcript.pyannote[95].end 247.68846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 248.44784375
transcript.pyannote[96].end 263.77034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 264.05721875
transcript.pyannote[97].end 267.09471875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 267.58409375
transcript.pyannote[98].end 269.84534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 270.30096875
transcript.pyannote[99].end 271.02659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 271.22909375
transcript.pyannote[100].end 272.00534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 272.79846875
transcript.pyannote[101].end 273.33846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 273.94596875
transcript.pyannote[102].end 274.99221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 275.51534375
transcript.pyannote[103].end 275.88659375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 276.40971875
transcript.pyannote[104].end 277.65846875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 277.94534375
transcript.pyannote[105].end 281.21909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 281.62409375
transcript.pyannote[106].end 301.50284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 295.24221875
transcript.pyannote[107].end 295.32659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 295.32659375
transcript.pyannote[108].end 295.39409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 295.39409375
transcript.pyannote[109].end 295.49534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 299.10659375
transcript.pyannote[110].end 299.47784375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 301.99221875
transcript.pyannote[111].end 310.02471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 306.22784375
transcript.pyannote[112].end 306.68346875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 310.21034375
transcript.pyannote[113].end 315.30659375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 315.74534375
transcript.pyannote[114].end 317.36534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 316.63971875
transcript.pyannote[115].end 316.72409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 316.74096875
transcript.pyannote[116].end 316.77471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 317.24721875
transcript.pyannote[117].end 322.73159375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 322.41096875
transcript.pyannote[118].end 322.42784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 322.42784375
transcript.pyannote[119].end 323.23784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 323.15346875
transcript.pyannote[120].end 330.74721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 331.23659375
transcript.pyannote[121].end 335.77596875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 336.46784375
transcript.pyannote[122].end 341.56409375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 341.91846875
transcript.pyannote[123].end 343.23471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 343.85909375
transcript.pyannote[124].end 349.91721875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 350.13659375
transcript.pyannote[125].end 358.84409375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 350.44034375
transcript.pyannote[126].end 350.57534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 356.48159375
transcript.pyannote[127].end 357.13971875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 357.13971875
transcript.pyannote[128].end 357.19034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 358.20284375
transcript.pyannote[129].end 358.64159375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 359.31659375
transcript.pyannote[130].end 364.44659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 361.22346875
transcript.pyannote[131].end 361.72971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 364.44659375
transcript.pyannote[132].end 364.91909375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 364.96971875
transcript.pyannote[133].end 365.32409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 365.57721875
transcript.pyannote[134].end 368.39534375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 368.66534375
transcript.pyannote[135].end 383.02596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 383.34659375
transcript.pyannote[136].end 385.28721875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 386.08034375
transcript.pyannote[137].end 391.71659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 392.17221875
transcript.pyannote[138].end 393.21846875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 394.43346875
transcript.pyannote[139].end 396.35721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 397.04909375
transcript.pyannote[140].end 398.34846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 398.90534375
transcript.pyannote[141].end 399.85034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 400.33971875
transcript.pyannote[142].end 401.36909375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 402.01034375
transcript.pyannote[143].end 402.93846875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 403.30971875
transcript.pyannote[144].end 412.96221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 413.41784375
transcript.pyannote[145].end 416.77596875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 417.13034375
transcript.pyannote[146].end 421.39971875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 421.75409375
transcript.pyannote[147].end 423.40784375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 423.74534375
transcript.pyannote[148].end 424.47096875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 424.67346875
transcript.pyannote[149].end 426.15846875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 426.69846875
transcript.pyannote[150].end 427.96409375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 428.33534375
transcript.pyannote[151].end 429.49971875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 430.15784375
transcript.pyannote[152].end 431.67659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 433.58346875
transcript.pyannote[153].end 435.37221875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 435.40596875
transcript.pyannote[154].end 435.65909375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 435.76034375
transcript.pyannote[155].end 438.64596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 439.08471875
transcript.pyannote[156].end 446.67846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 446.98221875
transcript.pyannote[157].end 449.20971875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 449.66534375
transcript.pyannote[158].end 454.72784375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 454.72784375
transcript.pyannote[159].end 454.93034375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 454.93034375
transcript.pyannote[160].end 455.97659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 455.97659375
transcript.pyannote[161].end 456.02721875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 456.02721875
transcript.pyannote[162].end 456.26346875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 456.41534375
transcript.pyannote[163].end 462.87846875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 463.18221875
transcript.pyannote[164].end 465.12284375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 465.19034375
transcript.pyannote[165].end 465.56159375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 465.35909375
transcript.pyannote[166].end 466.52346875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 466.94534375
transcript.pyannote[167].end 467.58659375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 467.97471875
transcript.pyannote[168].end 468.75096875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 468.98721875
transcript.pyannote[169].end 469.24034375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 469.57784375
transcript.pyannote[170].end 470.37096875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 470.26971875
transcript.pyannote[171].end 470.65784375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 470.62409375
transcript.pyannote[172].end 472.36221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 472.78409375
transcript.pyannote[173].end 479.43284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 479.50034375
transcript.pyannote[174].end 479.80409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 479.88846875
transcript.pyannote[175].end 480.34409375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 481.05284375
transcript.pyannote[176].end 482.60534375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 482.77409375
transcript.pyannote[177].end 486.11534375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 486.87471875
transcript.pyannote[178].end 487.66784375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 488.00534375
transcript.pyannote[179].end 491.86971875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 491.93721875
transcript.pyannote[180].end 492.89909375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 493.55721875
transcript.pyannote[181].end 495.63284375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 495.97034375
transcript.pyannote[182].end 497.47221875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 498.04596875
transcript.pyannote[183].end 499.46346875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 499.63221875
transcript.pyannote[184].end 500.32409375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 501.35346875
transcript.pyannote[185].end 503.02409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 503.49659375
transcript.pyannote[186].end 504.62721875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 504.89721875
transcript.pyannote[187].end 508.76159375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 508.82909375
transcript.pyannote[188].end 509.23409375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 509.28471875
transcript.pyannote[189].end 519.78096875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 511.22534375
transcript.pyannote[190].end 511.52909375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 521.95784375
transcript.pyannote[191].end 522.80159375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 522.97034375
transcript.pyannote[192].end 523.02096875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 523.02096875
transcript.pyannote[193].end 523.76346875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 523.79721875
transcript.pyannote[194].end 523.94909375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 523.94909375
transcript.pyannote[195].end 523.98284375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 523.98284375
transcript.pyannote[196].end 523.99971875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 523.99971875
transcript.pyannote[197].end 524.33721875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 524.03346875
transcript.pyannote[198].end 524.77596875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 524.77596875
transcript.pyannote[199].end 525.11346875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 525.11346875
transcript.pyannote[200].end 525.14721875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 525.97409375
transcript.pyannote[201].end 526.02471875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 526.96971875
transcript.pyannote[202].end 527.03721875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 527.22284375
transcript.pyannote[203].end 527.96534375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 527.96534375
transcript.pyannote[204].end 528.03284375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 530.00721875
transcript.pyannote[205].end 531.91409375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 530.07471875
transcript.pyannote[206].end 543.70971875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 543.03471875
transcript.pyannote[207].end 543.05159375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 543.05159375
transcript.pyannote[208].end 543.67596875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 543.70971875
transcript.pyannote[209].end 543.72659375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 544.13159375
transcript.pyannote[210].end 544.58721875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 546.27471875
transcript.pyannote[211].end 546.78096875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 547.40534375
transcript.pyannote[212].end 548.31659375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 548.82284375
transcript.pyannote[213].end 549.90284375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 550.30784375
transcript.pyannote[214].end 553.29471875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 553.49721875
transcript.pyannote[215].end 553.78409375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 553.78409375
transcript.pyannote[216].end 555.06659375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 555.50534375
transcript.pyannote[217].end 557.42909375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 557.83409375
transcript.pyannote[218].end 561.25971875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 561.73221875
transcript.pyannote[219].end 562.77846875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 563.23409375
transcript.pyannote[220].end 564.75284375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 565.00596875
transcript.pyannote[221].end 565.20846875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 565.96784375
transcript.pyannote[222].end 566.35596875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 566.35596875
transcript.pyannote[223].end 566.64284375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 566.64284375
transcript.pyannote[224].end 568.21221875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 566.91284375
transcript.pyannote[225].end 569.07284375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 568.60034375
transcript.pyannote[226].end 569.27534375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 570.08534375
transcript.pyannote[227].end 574.64159375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 572.07659375
transcript.pyannote[228].end 572.54909375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 574.74284375
transcript.pyannote[229].end 574.75971875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 574.75971875
transcript.pyannote[230].end 575.01284375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 574.96221875
transcript.pyannote[231].end 575.68784375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 575.95784375
transcript.pyannote[232].end 577.35846875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 577.56096875
transcript.pyannote[233].end 578.37096875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 578.97846875
transcript.pyannote[234].end 580.78409375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 580.95284375
transcript.pyannote[235].end 581.20596875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 581.20596875
transcript.pyannote[236].end 584.91846875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 585.71159375
transcript.pyannote[237].end 593.13659375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 593.05221875
transcript.pyannote[238].end 593.11971875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 593.13659375
transcript.pyannote[239].end 593.15346875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 593.15346875
transcript.pyannote[240].end 595.46534375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 593.17034375
transcript.pyannote[241].end 593.18721875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 593.25471875
transcript.pyannote[242].end 593.28846875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 593.30534375
transcript.pyannote[243].end 593.32221875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 595.97159375
transcript.pyannote[244].end 597.40596875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 597.94596875
transcript.pyannote[245].end 600.40971875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 600.69659375
transcript.pyannote[246].end 601.45596875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 601.69221875
transcript.pyannote[247].end 602.21534375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 602.23221875
transcript.pyannote[248].end 602.26596875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 602.26596875
transcript.pyannote[249].end 603.26159375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 602.28284375
transcript.pyannote[250].end 602.70471875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 606.56909375
transcript.pyannote[251].end 607.07534375
transcript.whisperx[0].start 5.836
transcript.whisperx[0].end 10.879
transcript.whisperx[0].text 主席我們家組織中心花董事長請花董事長召會長董事長在這裡說到社會住宅我會去我剛才在7月7日來到台北開會中央開會的時候剛才你以前做法事
transcript.whisperx[1].start 36.046
transcript.whisperx[1].end 61.874
transcript.whisperx[1].text 在這個規定當中 我也要感謝你給嘉義市的機會因為中央有這個政策 嘉義市有可能去社會住宅因為每一間市的訴求 當中是不同的你知道嘉義市是一個小兒媒
transcript.whisperx[2].start 62.97
transcript.whisperx[2].end 66.671
transcript.whisperx[2].text 好大的地方 但是他沒有代表他的家那些人他沒有代表他的工作所以在這個過程 我覺得有擔當的重點就是覺得說 我們的政策說 但是每一個人的訴求不一樣改改這個
transcript.whisperx[3].start 89.281
transcript.whisperx[3].end 103.007
transcript.whisperx[3].text 我們就要改善像我們有時候跟我們的部長說的時候部長說 啊 因為嘉義市跟很多縣市的大都市都沒有工這我可以接受喔所以在這個過程當中他說要新建的是不是可以有工廠出來
transcript.whisperx[4].start 117.386
transcript.whisperx[4].end 138.932
transcript.whisperx[4].text 包租貸款但今天我身為嘉義市的民意代表我就先跟你說嘉義市的需要就對了因為嘉義市有安寮好市有中好市博愛第一
transcript.whisperx[5].start 139.895
transcript.whisperx[5].end 147.978
transcript.whisperx[5].text 我愛安居在這三地的當中 重聽五百號若沒有我們中央的政策 我相信我們將會遺棄若沒有這三地的社會住宅可以幫助年輕人的訴求和弱勢的訴求
transcript.whisperx[6].start 161.904
transcript.whisperx[6].end 165.627
transcript.whisperx[6].text 在這幾天來看到中央給他一次機會但是在這幾天北省比較給我的心還是比較給我們付出說你們的政策還在變啊我說是怎麼說
transcript.whisperx[7].start 181.121
transcript.whisperx[7].end 185.666
transcript.whisperx[7].text 他說跟你們說要去社會住宅 到現在說這麼多是要自己去 也要自己去 市政府的努力在日升安市那裡 有一個主來追尋的他在那裡 市政府也很快會開業了
transcript.whisperx[8].start 204.844
transcript.whisperx[8].end 211.968
transcript.whisperx[8].text 在這裡我要請教我們當事長有的外面的風聲不然說得怎麼像有的我們是要挑戰每一官司的訴求不一樣我已經說三次了每一官司的需要不一樣所以第二次我告訴你那個
transcript.whisperx[9].start 229.986
transcript.whisperx[9].end 237.93
transcript.whisperx[9].text 是不是你如果討論 也要去討論對與對因為最重要的 加二次沒有這個 我就跟你說過沒有抗爭在那裡
transcript.whisperx[10].start 245.675
transcript.whisperx[10].end 252.598
transcript.whisperx[10].text 所以 董事長 你是不是跟我討論 現在我說的那個 未來要怎麼做因為我相信 如果經過加二次也好 加二次鄉親也好年紀去加二次 吃頭肉也好都有看到我們社會住宅 漸漸的 一定會完成所以 董事長 拜託 讓我拜託一下
transcript.whisperx[11].start 275.58
transcript.whisperx[11].end 286.866
transcript.whisperx[11].text 那日升街那塊要如何處理來回答一下感謝委員對我們租賂中心跟我們社財政策一直的支持我們現在過去期我們現在有安寮有中和博愛其實我先跟委員報告安寮好市今年就會遭遇氣候 今年的氣候就遭遇差不多第四季就開始會公告遭遇 當然
transcript.whisperx[12].start 302.582
transcript.whisperx[12].end 314.91
transcript.whisperx[12].text 委員一直在說啦 我們現在日新安居啦 別的住來住 住來住像旁邊這樣 日新安居其實 瑞敬坡現在應該也是繼續在那幾個地方 不說放棄 現在沒有了這樣當時在你說的就是跟外面所有環奧的所擔一位是不一樣不是中央放棄說不去社會住宅喔 是每個縣市有的 沒關係
transcript.whisperx[13].start 331.101
transcript.whisperx[13].end 333.702
transcript.whisperx[13].text 會想說年輕人還可以有家庭長大跟他家的管子不一樣 有他家的空間很多他可以包住大館 但是家裡一定要有社會住宅對家裡來說80人那麼多是啦 現在我們按理好是今年第四季開始遭遇
transcript.whisperx[14].start 354.264
transcript.whisperx[14].end 357.109
transcript.whisperx[14].text 我們不用看姓姓的狀況 因為姓姓很少現在提早的時間我們可以重新安排
transcript.whisperx[15].start 366.346
transcript.whisperx[15].end 374.189
transcript.whisperx[15].text 在這裡這樣就是當時聽說這個日升街不是沒辦法去是我們這個地市區的寮屋看招租的經驗給我們一百分比起政府也是很有價值的價值是不是這樣 是嘛再來 因為那個咖咪位就是說實在啦我們的北省 我們的年輕街 我們的弱勢
transcript.whisperx[16].start 394.485
transcript.whisperx[16].end 395.573
transcript.whisperx[16].text 要去經家去照顧啦
transcript.whisperx[17].start 397.099
transcript.whisperx[17].end 408.224
transcript.whisperx[17].text 因為有時候說要補助他的出水我們說實在我們這也是說你沒關係在這個地方有時候一天兩天你在台北上班不一定兩天後在其他地方去上班他就不一樣的訴求不一樣的需要在這裡我也問問當時在台北本市說的
transcript.whisperx[18].start 426.853
transcript.whisperx[18].end 431.434
transcript.whisperx[18].text 再來邀請一位來 請尹主委主委在這本省這時候時間要到了我要跟你說我們這個內槍安全的訓練是在12月底的時候我們定期將近要到7500
transcript.whisperx[19].start 450.202
transcript.whisperx[19].end 455.474
transcript.whisperx[19].text 500多人差不多有4500人左右有嘛在有的當中你們在正當
transcript.whisperx[20].start 460.5
transcript.whisperx[20].end 472.044
transcript.whisperx[20].text 安全受訓的時候有五十個五十個去啦九十八個拿到受訓過的啦在這個過程當中主委我是不是要跟你說你若看有四五千人有雷槍在正當的時候有雷槍跟有訓練過也是抓到遭毀去
transcript.whisperx[21].start 490.421
transcript.whisperx[21].end 508.466
transcript.whisperx[21].text 讓他的東方大大事所以這個訓練非常重要平常是我們的專業因為你們說的我們說的是訓練安全 訓練有多少錢你知道嗎 主委是到現在還沒過啦那我覺得這個錢對於全住民來說是非常重要那你知道訓練裡面的錢有多少嗎
transcript.whisperx[22].start 521.991
transcript.whisperx[22].end 522.591
transcript.whisperx[22].text 大概70萬 主委
transcript.whisperx[23].start 547.795
transcript.whisperx[23].end 552.779
transcript.whisperx[23].text 在這裡面有這件事要好好訓練 好好去用因為我願望 不能夠發生這個問題我們應該要鼓勵所有有內疚的人 都出來訓練自己
transcript.whisperx[24].start 567.182
transcript.whisperx[24].end 568.843
transcript.whisperx[24].text 我們要擴大訓練主委這是重點啦 要擴大訓練啦因為有四千五人 有肌肉有腸的有內腸的 所以你說的要擴大訓練
transcript.whisperx[25].start 586.188
transcript.whisperx[25].end 602.479
transcript.whisperx[25].text 對啦 說實在開這樓錢也沒差我們也不要讓這樓遺憾再來發生不然那時候我們想法是本市的最大意願就是這列車管制的問題以上謝謝