iVOD / 169412

Field Value
IVOD_ID 169412
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169412
日期 2026-05-18
會議資料.會議代碼 委員會-11-5-15-12
會議資料.會議代碼:str 第11屆第5會期內政委員會第12次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 12
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5會期內政委員會第12次全體委員會議
影片種類 Clip
開始時間 2026-05-18T09:48:45+08:00
結束時間 2026-05-18T09:59:36+08:00
影片長度 00:10:51
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/223c8978a2ec9f2449c0544eff234c57ed00dd173c38e0afd817488d83a1324ce89831f4f6d40dec5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 09:48:45 - 09:59:36
會議時間 2026-05-18T09:00:00+08:00
會議名稱 立法院第11屆第5會期內政委員會第12次全體委員會議(事由:一、審查115年度中央政府總預算案關於內政部部分。二、審查115年度中央政府總預算案關於國土管理署及所屬、國家公園署及所屬、建築研究所部分。三、審查115年度中央政府總預算案關於直轄市及縣市政府一般性補助款內政部、國家公園署及所屬、國土管理署及所屬部分。四、審查115年度中央政府總預算案附屬單位預算非營業部分關於內政部主管作業基金-營建建設基金、實施平均地權基金。五、審查115年度中央政府總預算案附屬單位預算非營業部分關於內政部主管特別收入基金-研發及產業訓儲替代役基金、國土永續發展基金。六、審查115年度中央政府總預算案附屬單位預算非營業部分關於內政部主管信託基金-黃瑞景先生獎學基金、胡原洲女士獎(助)學基金部分。七、審查內政部函送財團法人二二八事件紀念基金會、財團法人威權統治時期國家不法行為被害者權利回復基金會、財團法人台灣建築中心、財團法人臺灣營建研究院、財團法人中央營建技術顧問研究社等5家財團法人115年度預算書案。八、審查內政部函送國家住宅及都市更新中心115年度預算書案。九、審查委員王美惠等17人擬具「宗教團體以自然人名義登記不動產處理暫行條例第五條條文修正草案」案。十、審查委員李柏毅等17人擬具「宗教團體以自然人名義登記不動產處理暫行條例第五條條文修正草案」案。十一、審查委員伍麗華Saidhai Tahovecahe等16人擬具「宗教團體以自然人名義登記不動產處理暫行條例第五條及第七條條文修正草案」案。十二、審查委員許宇甄等19人擬具「宗教團體以自然人名義登記不動產處理暫行條例第五條條文修正草案」案。十三、審查委員鄭天財Sra Kacaw等17人擬具「宗教團體以自然人名義登記不動產處理暫行條例第五條條文修正草案」案。【詢答及處理】、【所列預算提案於115年5月11日(一)中午12時前截止收件。】【第十三案如未經各黨團簽署不復議同意書則不予審查。】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 3.06846875
transcript.pyannote[0].end 4.19909375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 6.54471875
transcript.pyannote[1].end 7.08471875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 10.61159375
transcript.pyannote[2].end 10.84784375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 10.88159375
transcript.pyannote[3].end 13.04159375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.34534375
transcript.pyannote[4].end 21.46221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 22.10346875
transcript.pyannote[5].end 23.87534375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 24.63471875
transcript.pyannote[6].end 27.08159375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 27.92534375
transcript.pyannote[7].end 30.62534375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 31.19909375
transcript.pyannote[8].end 31.95846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 32.63346875
transcript.pyannote[9].end 33.54471875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 33.98346875
transcript.pyannote[10].end 34.32096875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 34.65846875
transcript.pyannote[11].end 36.24471875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 36.95346875
transcript.pyannote[12].end 39.14721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 39.94034375
transcript.pyannote[13].end 41.42534375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 41.81346875
transcript.pyannote[14].end 44.32784375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 44.63159375
transcript.pyannote[15].end 46.11659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 46.55534375
transcript.pyannote[16].end 49.08659375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 49.54221875
transcript.pyannote[17].end 53.33909375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 53.79471875
transcript.pyannote[18].end 56.35971875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 56.74784375
transcript.pyannote[19].end 61.47284375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 62.29971875
transcript.pyannote[20].end 63.24471875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 63.71721875
transcript.pyannote[21].end 65.37096875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 65.53971875
transcript.pyannote[22].end 66.92346875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 67.53096875
transcript.pyannote[23].end 70.85534375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 71.09159375
transcript.pyannote[24].end 74.04471875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 74.39909375
transcript.pyannote[25].end 77.62221875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 77.97659375
transcript.pyannote[26].end 79.37721875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 79.83284375
transcript.pyannote[27].end 81.35159375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 82.14471875
transcript.pyannote[28].end 84.65909375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 85.01346875
transcript.pyannote[29].end 93.09659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 93.61971875
transcript.pyannote[30].end 96.31971875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 96.53909375
transcript.pyannote[31].end 98.22659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 98.58096875
transcript.pyannote[32].end 101.24721875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 101.31471875
transcript.pyannote[33].end 102.91784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 103.59284375
transcript.pyannote[34].end 104.36909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 105.14534375
transcript.pyannote[35].end 106.57971875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 106.73159375
transcript.pyannote[36].end 107.89596875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 108.11534375
transcript.pyannote[37].end 112.58721875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 112.82346875
transcript.pyannote[38].end 130.03596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 130.03596875
transcript.pyannote[39].end 149.15534375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 131.60534375
transcript.pyannote[40].end 131.82471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 149.37471875
transcript.pyannote[41].end 166.58721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 151.19721875
transcript.pyannote[42].end 151.53471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 154.48784375
transcript.pyannote[43].end 154.89284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 166.90784375
transcript.pyannote[44].end 168.32534375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 168.44346875
transcript.pyannote[45].end 219.77721875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 188.23784375
transcript.pyannote[46].end 188.67659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 188.67659375
transcript.pyannote[47].end 188.69346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 189.92534375
transcript.pyannote[48].end 190.97159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 190.97159375
transcript.pyannote[49].end 191.20784375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 193.67159375
transcript.pyannote[50].end 194.11034375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 194.90346875
transcript.pyannote[51].end 195.35909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 200.72534375
transcript.pyannote[52].end 201.29909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 220.01346875
transcript.pyannote[53].end 252.41346875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 223.81034375
transcript.pyannote[54].end 224.14784375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 235.35284375
transcript.pyannote[55].end 236.17971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 252.41346875
transcript.pyannote[56].end 254.06721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 253.47659375
transcript.pyannote[57].end 253.84784375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 254.06721875
transcript.pyannote[58].end 254.10096875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 254.10096875
transcript.pyannote[59].end 261.39096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 254.28659375
transcript.pyannote[60].end 254.50596875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 261.76221875
transcript.pyannote[61].end 263.90534375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 264.61409375
transcript.pyannote[62].end 265.54221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 265.71096875
transcript.pyannote[63].end 269.42346875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 270.13221875
transcript.pyannote[64].end 271.19534375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 271.56659375
transcript.pyannote[65].end 272.34284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 273.18659375
transcript.pyannote[66].end 274.57034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 275.00909375
transcript.pyannote[67].end 283.02471875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 283.19346875
transcript.pyannote[68].end 284.07096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 284.25659375
transcript.pyannote[69].end 286.75409375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 287.09159375
transcript.pyannote[70].end 288.72846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 289.58909375
transcript.pyannote[71].end 289.97721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 290.07846875
transcript.pyannote[72].end 291.09096875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 291.56346875
transcript.pyannote[73].end 294.24659375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 294.76971875
transcript.pyannote[74].end 295.66409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 296.27159375
transcript.pyannote[75].end 297.72284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 298.24596875
transcript.pyannote[76].end 310.90221875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 311.03721875
transcript.pyannote[77].end 312.52221875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 313.34909375
transcript.pyannote[78].end 314.41221875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 314.61471875
transcript.pyannote[79].end 318.98534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 319.12034375
transcript.pyannote[80].end 326.78159375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 327.16971875
transcript.pyannote[81].end 328.89096875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 329.12721875
transcript.pyannote[82].end 331.00034375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 331.37159375
transcript.pyannote[83].end 332.85659375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 333.29534375
transcript.pyannote[84].end 333.66659375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 334.00409375
transcript.pyannote[85].end 335.84346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 336.04596875
transcript.pyannote[86].end 337.46346875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 337.95284375
transcript.pyannote[87].end 340.46721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 340.88909375
transcript.pyannote[88].end 342.08721875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 342.44159375
transcript.pyannote[89].end 343.57221875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 344.50034375
transcript.pyannote[90].end 344.85471875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 345.20909375
transcript.pyannote[91].end 347.80784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 348.29721875
transcript.pyannote[92].end 350.00159375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 350.55846875
transcript.pyannote[93].end 351.16596875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 351.87471875
transcript.pyannote[94].end 352.98846875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 354.06846875
transcript.pyannote[95].end 355.08096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 355.46909375
transcript.pyannote[96].end 356.76846875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 357.19034375
transcript.pyannote[97].end 357.52784375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 357.81471875
transcript.pyannote[98].end 363.01221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 363.45096875
transcript.pyannote[99].end 365.07096875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 365.40846875
transcript.pyannote[100].end 368.49659375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 368.71596875
transcript.pyannote[101].end 372.12471875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 372.42846875
transcript.pyannote[102].end 374.85846875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 375.12846875
transcript.pyannote[103].end 377.86221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 378.43596875
transcript.pyannote[104].end 380.32596875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 380.68034375
transcript.pyannote[105].end 381.30471875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 382.97534375
transcript.pyannote[106].end 383.56596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 384.19034375
transcript.pyannote[107].end 386.08034375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 386.70471875
transcript.pyannote[108].end 389.72534375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 389.97846875
transcript.pyannote[109].end 391.26096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 391.73346875
transcript.pyannote[110].end 393.52221875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 394.24784375
transcript.pyannote[111].end 396.76221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 397.03221875
transcript.pyannote[112].end 398.55096875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 399.02346875
transcript.pyannote[113].end 401.67284375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 400.91346875
transcript.pyannote[114].end 400.98096875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 400.98096875
transcript.pyannote[115].end 401.20034375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 401.20034375
transcript.pyannote[116].end 401.26784375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 401.97659375
transcript.pyannote[117].end 403.36034375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 403.93409375
transcript.pyannote[118].end 405.67221875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 406.97159375
transcript.pyannote[119].end 408.43971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 408.65909375
transcript.pyannote[120].end 413.46846875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 413.97471875
transcript.pyannote[121].end 414.83534375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 415.08846875
transcript.pyannote[122].end 417.14721875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 417.29909375
transcript.pyannote[123].end 419.72909375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 420.04971875
transcript.pyannote[124].end 421.39971875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 422.54721875
transcript.pyannote[125].end 424.72409375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 425.04471875
transcript.pyannote[126].end 427.84596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 428.33534375
transcript.pyannote[127].end 432.04784375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 432.87471875
transcript.pyannote[128].end 433.70159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 434.41034375
transcript.pyannote[129].end 438.29159375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 438.93284375
transcript.pyannote[130].end 444.01221875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 445.05846875
transcript.pyannote[131].end 447.48846875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 447.92721875
transcript.pyannote[132].end 449.37846875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 449.96909375
transcript.pyannote[133].end 450.98159375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 451.72409375
transcript.pyannote[134].end 453.46221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 455.21721875
transcript.pyannote[135].end 460.31346875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 460.46534375
transcript.pyannote[136].end 467.73846875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 468.32909375
transcript.pyannote[137].end 469.05471875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 469.29096875
transcript.pyannote[138].end 478.40346875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 478.90971875
transcript.pyannote[139].end 483.24659375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 484.03971875
transcript.pyannote[140].end 484.64721875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 484.83284375
transcript.pyannote[141].end 490.30034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 490.75596875
transcript.pyannote[142].end 492.08909375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 492.29159375
transcript.pyannote[143].end 493.45596875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 493.82721875
transcript.pyannote[144].end 494.56971875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 494.72159375
transcript.pyannote[145].end 495.29534375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 495.83534375
transcript.pyannote[146].end 497.03346875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 497.65784375
transcript.pyannote[147].end 500.42534375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 501.25221875
transcript.pyannote[148].end 502.65284375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 502.92284375
transcript.pyannote[149].end 503.86784375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 504.13784375
transcript.pyannote[150].end 505.62284375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 506.29784375
transcript.pyannote[151].end 507.24284375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 508.59284375
transcript.pyannote[152].end 509.50409375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 510.26346875
transcript.pyannote[153].end 511.88346875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 512.28846875
transcript.pyannote[154].end 515.07284375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 515.15721875
transcript.pyannote[155].end 518.58284375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 518.80221875
transcript.pyannote[156].end 526.22721875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 526.48034375
transcript.pyannote[157].end 529.90596875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 530.09159375
transcript.pyannote[158].end 533.39909375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 533.63534375
transcript.pyannote[159].end 534.42846875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 534.93471875
transcript.pyannote[160].end 538.74846875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 539.10284375
transcript.pyannote[161].end 540.16596875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 540.50346875
transcript.pyannote[162].end 542.56221875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 543.54096875
transcript.pyannote[163].end 544.48596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 544.90784375
transcript.pyannote[164].end 547.75971875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 547.97909375
transcript.pyannote[165].end 550.24034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 550.71284375
transcript.pyannote[166].end 552.31596875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 552.82221875
transcript.pyannote[167].end 552.83909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 552.83909375
transcript.pyannote[168].end 552.88971875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 552.88971875
transcript.pyannote[169].end 552.92346875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 552.92346875
transcript.pyannote[170].end 553.27784375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 553.27784375
transcript.pyannote[171].end 554.03721875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 554.03721875
transcript.pyannote[172].end 565.74846875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 565.74846875
transcript.pyannote[173].end 566.05221875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 566.47409375
transcript.pyannote[174].end 569.10659375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 569.39346875
transcript.pyannote[175].end 571.03034375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 571.24971875
transcript.pyannote[176].end 583.01159375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 583.97346875
transcript.pyannote[177].end 585.96471875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 585.81284375
transcript.pyannote[178].end 586.31909375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 586.43721875
transcript.pyannote[179].end 593.62596875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 594.18284375
transcript.pyannote[180].end 597.69284375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 598.23284375
transcript.pyannote[181].end 598.89096875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 599.75159375
transcript.pyannote[182].end 600.73034375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 600.93284375
transcript.pyannote[183].end 602.38409375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 602.18159375
transcript.pyannote[184].end 602.23221875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 602.38409375
transcript.pyannote[185].end 606.97409375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 602.55284375
transcript.pyannote[186].end 603.37971875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 606.53534375
transcript.pyannote[187].end 619.86659375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 620.25471875
transcript.pyannote[188].end 623.39346875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 623.64659375
transcript.pyannote[189].end 630.63284375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 624.13596875
transcript.pyannote[190].end 624.47346875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 630.93659375
transcript.pyannote[191].end 634.76721875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 634.83471875
transcript.pyannote[192].end 637.02846875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 637.23096875
transcript.pyannote[193].end 639.93096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 640.33596875
transcript.pyannote[194].end 642.10784375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 642.34409375
transcript.pyannote[195].end 649.46534375
transcript.whisperx[0].start 3.106
transcript.whisperx[0].end 4.566
transcript.whisperx[0].text 主席,我們請補充王議員你好補充老師補充,我們今天要看好中高團體的財政、自然、平常、經濟的問題在這兩天,我覺得這個事情看起來不錯在今天開始定期的時候,還有
transcript.whisperx[1].start 32.717
transcript.whisperx[1].end 60.773
transcript.whisperx[1].text 千萬別完成定期但是在這個過程當中到最近還有一千兩百多個沒完成定期全國有兩千幾件在我們1810年開始的定期當中我相信部長也知道好定期的沒麻煩的差不多都定期了了
transcript.whisperx[2].start 62.335
transcript.whisperx[2].end 72.441
transcript.whisperx[2].text 現在就是有問題的,不像你認為,這裡穿幾件還沒穿上去,一定對的是什麼問題?就是說,我們認為這件事,不要讓他覺得說,可以穿上去
transcript.whisperx[3].start 82.674
transcript.whisperx[3].end 87.135
transcript.whisperx[3].text 沒有辦法去登記,所以我們今天要來想這個法,是不是可以放寬兩年還是四年因為這個法,這個規定,就是十年來要完成,如果十年來沒有去登記,沒有去什麼,就沒辦法了
transcript.whisperx[4].start 105.16
transcript.whisperx[4].end 107.722
transcript.whisperx[4].text 所以說補充你認為到現在有穿幾件因為這次登記一定有什麼問題嘛所以我們整台市的時候有很多人去登記啊我剛才本身說的好登記的登記起來啊現在我們的登記的問題是什麼是不是可以請補充回答一下
transcript.whisperx[5].start 130.619
transcript.whisperx[5].end 138.644
transcript.whisperx[5].text 報告委員 委員對這個總告團體 包括這裡的定期的部分 非常關心當然像委員所講的 好定期的好處理都處理了什麼是派定期 派處理 這個看起來就是說 頭一方面就是它的產權 很複雜
transcript.whisperx[6].start 149.951
transcript.whisperx[6].end 158.833
transcript.whisperx[6].text 相關很複雜的,有時候是有牽涉的工地,有時候是樹林的土地,有時候是沙坡地,有時候還要求說它是不是間地還是敏感的地質,我們都知道很多廟宇,有時候他差不多在那個地方已經七八十年、一百年以上,被混入還更久
transcript.whisperx[7].start 169.036
transcript.whisperx[7].end 174.399
transcript.whisperx[7].text 所以排除你這一行第二行就是說他在定期的過程當中或是過去以來,裡面的朱祁鈴譬如說廟宇裡面的朱祁鈴或是他的總幹事他們個人的意願是不是很強有的大廟跟縣主是說我就是要定期你也不把他強迫因為我們的保安是高雷啦,我們是強制
transcript.whisperx[8].start 195.069
transcript.whisperx[8].end 198.95
transcript.whisperx[8].text 所以為什麼拖這麼久的時間都已經用暫行條例然後延長實現就是我們希望我們可以花更多的時間來做這個服務但是實際上真的回到困擾因為每一個廟宇都回到不一樣的問題裡面牽涉的問題有時候不是用我們的行政的處分就可以處理
transcript.whisperx[9].start 220.114
transcript.whisperx[9].end 224.937
transcript.whisperx[9].text 有時候是個人 到個人期間又來又去啦 丁丁這些我們站在行政官員的立場蓋一張 其實很大的困擾所以包括說我們跟每一個管制政府的協商的期間 他們也覺得說這很大的困擾
transcript.whisperx[10].start 236.425
transcript.whisperx[10].end 245.13
transcript.whisperx[10].text 就繼續去恢復當然要感謝說現在有要配合到政府機關所提出來的定期但也能定期好所以未來時間到了有什麼方式我認為跟憲組都要有共識喔 都要有共識 要有共識不然你問本縣市怎麼會跟你說要好定期的定期去了現在就是有困難的要好定期你知不知道我們的風雨
transcript.whisperx[11].start 264.68
transcript.whisperx[11].end 269.111
transcript.whisperx[11].text 變成給長輩、長輩、長女依賴的代表給予的人,完蛋啦
transcript.whisperx[12].start 273.24
transcript.whisperx[12].end 278.842
transcript.whisperx[12].text 有幾多間廟,投資生意想說,你知不知道全台灣的廟很多的,聽到中央政府有這個很好,要去登記的時候才發覺說,這套廟的三款,是一半是樹林的,一半是公家的,現在要收購了
transcript.whisperx[13].start 298.288
transcript.whisperx[13].end 301.893
transcript.whisperx[13].text 但他們本來想說,我在這個廟做不成功,做三四十天、四五十天,你如果這麼好,不要在天氣好的時候,我再廣告我做不成功,都沒這回事了
transcript.whisperx[14].start 313.41
transcript.whisperx[14].end 315.531
transcript.whisperx[14].text 所以補充,這個問題也有出現出來,會睡覺,跟我們實在的好意想說,跟當初以來,英國都沒有辦法,也沒有程序,我們有望,讓它更合法的,
transcript.whisperx[15].start 329.216
transcript.whisperx[15].end 336.821
transcript.whisperx[15].text 讓他更好,這更方便因為我覺得問題出一台,我相信北京這個單位必須有更好的人我希望北京說到現在阿富汗公司聽這句話
transcript.whisperx[16].start 354.284
transcript.whisperx[16].end 362.749
transcript.whisperx[16].text 煩惱煩惱的 擔心擔心的那不要緊 我們待會還要討論的時候有什麼問題還可以討論在這裏面補充我跟你跟國土署來請教一下因為因應氣候變遷的時候的遺症有新增29億在這個過程當中 補充
transcript.whisperx[17].start 383.075
transcript.whisperx[17].end 392.885
transcript.whisperx[17].text 署長,你如果看到帝恩,現在帝恩大家都很認真做的,尤其白水也做得很好,但是現在就是有時候,最大的禍,讓你沒辦法去預防的,會是火水來了,在這個過程當中,
transcript.whisperx[18].start 407.048
transcript.whisperx[18].end 410.711
transcript.whisperx[18].text 不管帶一棟的,在協調當中,都有說這二十九億,不賣三,所以看得出來,補聽也好,國土事務也好,很認真
transcript.whisperx[19].start 423.645
transcript.whisperx[19].end 441.577
transcript.whisperx[19].text 地方政府溝通說,你們好事要待,要改善,要謹慎對未來,謹注意,但是在這個過程當中,事實上我要說,因為你知道地方經常有淫醉在那裡的時候,
transcript.whisperx[20].start 445.12
transcript.whisperx[20].end 467.542
transcript.whisperx[20].text 如果一天還沒到位的時候,跟陰水的時候,你會感到好嗎?來,蘇丁你回答一下跟委員報告,這個部分我們當然會看得很痛苦,但我們也就希望說,第一個預算要趕快通過第二個就是,有很多前置的一個作業,我們會跟地方來溝通,趕快先進行
transcript.whisperx[21].start 468.37
transcript.whisperx[21].end 473.935
transcript.whisperx[21].text 因為我也知道你們很用心的,但是在用心的當中,讓水這麼大下水的時候,是認真要認真,我認為認真是應該的
transcript.whisperx[22].start 484.963
transcript.whisperx[22].end 506.957
transcript.whisperx[22].text 那天你在澳去看,把你市政府澳提出個位在澳湖站的QG機裡面,署長,我問你,到那天你說的,可以看出雨水下水量的監測,可以做抽水站,要多久?來,署長,你回答一下
transcript.whisperx[23].start 512.475
transcript.whisperx[23].end 526.016
transcript.whisperx[23].text 跟委員報告那個如果說他就是整個計劃如果現在開始去做一個設計啦那他實際上完工的時間也大概落在明年的最快大概是明年的訓期前應該可以趕完工
transcript.whisperx[24].start 526.513
transcript.whisperx[24].end 536.606
transcript.whisperx[24].text 這樣,市長,我先來請教一下,像我跟您在這裡這幾個月會進行,你們可以去加價去市政府,我已經去處理去用,因為畢竟大家都為了百姓來
transcript.whisperx[25].start 543.584
transcript.whisperx[25].end 544.305
transcript.whisperx[25].text 我們報計劃的過程就是會召開一些相關的審議
transcript.whisperx[26].start 558.818
transcript.whisperx[26].end 565.319
transcript.whisperx[26].text 所以這個東西跟地方政府 包括來源要怎麼做其實都有溝通 而且還有很經過的審查這樣 署長你的意思就是說每一間 要結帳到中央的時候當然是要寫好最好我們不一定每一間的結帳都可以在中央補助
transcript.whisperx[27].start 584.028
transcript.whisperx[27].end 588.875
transcript.whisperx[27].text 要經過審查啦 要經過審查 但是本身在這裡要說白痴的問題 路虎的問題 你要如果委員會說我們沒有關稅 但是可以讓地方改變
transcript.whisperx[28].start 599.93
transcript.whisperx[28].end 606.314
transcript.whisperx[28].text 他的反擊才是最重要的我們會盡量幫助地方去解決這些問題因為可能我們溝通有些問題 我覺得這不是起頭想說你先去你的 先去我的可以讓地方的建設做得好 改善得好 不要被壞
transcript.whisperx[29].start 623.766
transcript.whisperx[29].end 631.532
transcript.whisperx[29].text 大家看羅浩聖堕河時,國藩的飲水,這是最重要的因為大家說要改善,把大家的飲水都放在那裡,這是非常嚴重的所以說,我們署長保證,對日子也好,對全台灣的飲水、白水有問題,我們要去關心,以上