IVOD_ID |
159541 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159541 |
日期 |
2025-03-24 |
會議資料.會議代碼 |
委員會-11-3-15-5 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第5次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
5 |
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3會期內政委員會第5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-24T09:45:35+08:00 |
結束時間 |
2025-03-24T09:58:22+08:00 |
影片長度 |
00:12:47 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01f072357e67ffc0997521e9d471dca18313c4daf57d80ad7b033ce60c83815f05479c7cef35606c5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王美惠 |
委員發言時間 |
09:45:35 - 09:58:22 |
會議時間 |
2025-03-24T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第5次全體委員會議(事由:邀請內政部部長、行政院消費者保護處處長、財政部就「租賃住宅市場透明化之現況及展望」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
1.12784375 |
transcript.pyannote[0].end |
2.64659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
3.10221875 |
transcript.pyannote[1].end |
3.69284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
6.57846875 |
transcript.pyannote[2].end |
7.06784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
7.79346875 |
transcript.pyannote[3].end |
9.02534375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
7.92846875 |
transcript.pyannote[4].end |
8.67096875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
9.02534375 |
transcript.pyannote[5].end |
9.31221875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
9.31221875 |
transcript.pyannote[6].end |
15.99471875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
9.48096875 |
transcript.pyannote[7].end |
9.54846875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
16.04534375 |
transcript.pyannote[8].end |
18.67784375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
19.25159375 |
transcript.pyannote[9].end |
20.44971875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
20.80409375 |
transcript.pyannote[10].end |
23.89221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
24.31409375 |
transcript.pyannote[11].end |
26.27159375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
26.69346875 |
transcript.pyannote[12].end |
29.22471875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
29.86596875 |
transcript.pyannote[13].end |
32.90346875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
33.24096875 |
transcript.pyannote[14].end |
34.94534375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
35.40096875 |
transcript.pyannote[15].end |
44.96909375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
44.96909375 |
transcript.pyannote[16].end |
45.79596875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
45.79596875 |
transcript.pyannote[17].end |
45.84659375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
46.28534375 |
transcript.pyannote[18].end |
124.36596875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
52.71471875 |
transcript.pyannote[19].end |
52.88346875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
59.80221875 |
transcript.pyannote[20].end |
60.08909375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
77.89221875 |
transcript.pyannote[21].end |
78.41534375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
124.36596875 |
transcript.pyannote[22].end |
124.68659375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
124.48409375 |
transcript.pyannote[23].end |
143.92409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
140.53221875 |
transcript.pyannote[24].end |
143.28284375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
143.92409375 |
transcript.pyannote[25].end |
143.94096875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
144.34596875 |
transcript.pyannote[26].end |
166.46909375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
166.63784375 |
transcript.pyannote[27].end |
185.11596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
185.43659375 |
transcript.pyannote[28].end |
187.59659375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
187.83284375 |
transcript.pyannote[29].end |
188.87909375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
188.92971875 |
transcript.pyannote[30].end |
191.64659375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
192.13596875 |
transcript.pyannote[31].end |
194.71784375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
194.97096875 |
transcript.pyannote[32].end |
196.01721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
196.65846875 |
transcript.pyannote[33].end |
197.48534375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
198.09284375 |
transcript.pyannote[34].end |
212.09909375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
211.86284375 |
transcript.pyannote[35].end |
290.83784375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
217.71846875 |
transcript.pyannote[36].end |
218.12346875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
250.48971875 |
transcript.pyannote[37].end |
251.85659375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
253.94909375 |
transcript.pyannote[38].end |
254.15159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
255.99096875 |
transcript.pyannote[39].end |
256.39596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
291.32721875 |
transcript.pyannote[40].end |
291.85034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
292.10346875 |
transcript.pyannote[41].end |
294.07784375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
294.36471875 |
transcript.pyannote[42].end |
296.27159375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
296.37284375 |
transcript.pyannote[43].end |
298.02659375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
298.26284375 |
transcript.pyannote[44].end |
301.41846875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
301.82346875 |
transcript.pyannote[45].end |
305.29971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
305.51909375 |
transcript.pyannote[46].end |
306.68346875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
306.95346875 |
transcript.pyannote[47].end |
309.99096875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
310.41284375 |
transcript.pyannote[48].end |
320.26784375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
320.65596875 |
transcript.pyannote[49].end |
323.17034375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
323.57534375 |
transcript.pyannote[50].end |
326.98409375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
327.28784375 |
transcript.pyannote[51].end |
337.14284375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
337.49721875 |
transcript.pyannote[52].end |
363.07971875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
363.31596875 |
transcript.pyannote[53].end |
375.55034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
375.90471875 |
transcript.pyannote[54].end |
392.49284375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
392.83034375 |
transcript.pyannote[55].end |
394.45034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
394.72034375 |
transcript.pyannote[56].end |
397.26846875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
397.62284375 |
transcript.pyannote[57].end |
399.63096875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
400.00221875 |
transcript.pyannote[58].end |
401.48721875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
401.89221875 |
transcript.pyannote[59].end |
402.93846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
403.34346875 |
transcript.pyannote[60].end |
411.35909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
411.56159375 |
transcript.pyannote[61].end |
412.87784375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
413.48534375 |
transcript.pyannote[62].end |
423.49221875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
423.77909375 |
transcript.pyannote[63].end |
427.62659375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
427.94721875 |
transcript.pyannote[64].end |
434.32596875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
434.73096875 |
transcript.pyannote[65].end |
442.44284375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
442.64534375 |
transcript.pyannote[66].end |
447.80909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
448.04534375 |
transcript.pyannote[67].end |
449.51346875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
449.98596875 |
transcript.pyannote[68].end |
451.63971875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
452.19659375 |
transcript.pyannote[69].end |
453.22596875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
452.38221875 |
transcript.pyannote[70].end |
453.07409375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
453.52971875 |
transcript.pyannote[71].end |
455.13284375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
455.20034375 |
transcript.pyannote[72].end |
459.40221875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
459.58784375 |
transcript.pyannote[73].end |
460.88721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
461.35971875 |
transcript.pyannote[74].end |
463.85721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
464.22846875 |
transcript.pyannote[75].end |
465.40971875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
466.38846875 |
transcript.pyannote[76].end |
469.05471875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
469.37534375 |
transcript.pyannote[77].end |
470.69159375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
471.41721875 |
transcript.pyannote[78].end |
477.08721875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
477.37409375 |
transcript.pyannote[79].end |
479.12909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
479.65221875 |
transcript.pyannote[80].end |
481.45784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
482.25096875 |
transcript.pyannote[81].end |
483.33096875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
483.71909375 |
transcript.pyannote[82].end |
485.00159375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
485.33909375 |
transcript.pyannote[83].end |
486.80721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
487.19534375 |
transcript.pyannote[84].end |
490.33409375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
490.63784375 |
transcript.pyannote[85].end |
492.12284375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
492.25784375 |
transcript.pyannote[86].end |
498.19784375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
498.75471875 |
transcript.pyannote[87].end |
501.18471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
501.53909375 |
transcript.pyannote[88].end |
504.27284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
504.62721875 |
transcript.pyannote[89].end |
507.14159375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
507.58034375 |
transcript.pyannote[90].end |
508.55909375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
508.98096875 |
transcript.pyannote[91].end |
510.68534375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
510.88784375 |
transcript.pyannote[92].end |
511.83284375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
512.55846875 |
transcript.pyannote[93].end |
513.95909375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
514.56659375 |
transcript.pyannote[94].end |
516.27096875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
516.43971875 |
transcript.pyannote[95].end |
517.43534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
517.73909375 |
transcript.pyannote[96].end |
525.99096875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
526.44659375 |
transcript.pyannote[97].end |
556.09596875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
545.71784375 |
transcript.pyannote[98].end |
546.05534375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
553.44659375 |
transcript.pyannote[99].end |
559.23471875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
557.69909375 |
transcript.pyannote[100].end |
565.42784375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
560.23034375 |
transcript.pyannote[101].end |
560.73659375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
565.71471875 |
transcript.pyannote[102].end |
569.86596875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
566.03534375 |
transcript.pyannote[103].end |
566.64284375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
568.65096875 |
transcript.pyannote[104].end |
571.63784375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
571.73909375 |
transcript.pyannote[105].end |
574.08471875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
574.40534375 |
transcript.pyannote[106].end |
576.12659375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
576.48096875 |
transcript.pyannote[107].end |
584.54721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
584.71596875 |
transcript.pyannote[108].end |
586.75784375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
587.16284375 |
transcript.pyannote[109].end |
590.53784375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
590.89221875 |
transcript.pyannote[110].end |
593.50784375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
593.50784375 |
transcript.pyannote[111].end |
603.26159375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
593.82846875 |
transcript.pyannote[112].end |
594.40221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
595.49909375 |
transcript.pyannote[113].end |
596.08971875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
596.86596875 |
transcript.pyannote[114].end |
597.67596875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
599.59971875 |
transcript.pyannote[115].end |
600.20721875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
601.91159375 |
transcript.pyannote[116].end |
606.33284375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
606.72096875 |
transcript.pyannote[117].end |
610.53471875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
611.15909375 |
transcript.pyannote[118].end |
619.51221875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
611.19284375 |
transcript.pyannote[119].end |
613.38659375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
613.40346875 |
transcript.pyannote[120].end |
613.50471875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
615.14159375 |
transcript.pyannote[121].end |
615.27659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
619.81596875 |
transcript.pyannote[122].end |
633.73784375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
634.22721875 |
transcript.pyannote[123].end |
646.09034375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
646.34346875 |
transcript.pyannote[124].end |
647.99721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
648.25034375 |
transcript.pyannote[125].end |
650.93346875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
651.00096875 |
transcript.pyannote[126].end |
652.75596875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
653.19471875 |
transcript.pyannote[127].end |
658.15596875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
658.47659375 |
transcript.pyannote[128].end |
660.02909375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
660.19784375 |
transcript.pyannote[129].end |
664.68659375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
664.70346875 |
transcript.pyannote[130].end |
670.84596875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
670.94721875 |
transcript.pyannote[131].end |
673.17471875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
673.22534375 |
transcript.pyannote[132].end |
688.02471875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
688.36221875 |
transcript.pyannote[133].end |
690.64034375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
691.48409375 |
transcript.pyannote[134].end |
693.25596875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
693.37409375 |
transcript.pyannote[135].end |
694.72409375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
695.26409375 |
transcript.pyannote[136].end |
696.17534375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
696.66471875 |
transcript.pyannote[137].end |
699.22971875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
699.70221875 |
transcript.pyannote[138].end |
700.91721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
701.33909375 |
transcript.pyannote[139].end |
705.50721875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
705.72659375 |
transcript.pyannote[140].end |
706.40159375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
706.92471875 |
transcript.pyannote[141].end |
713.97846875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
713.97846875 |
transcript.pyannote[142].end |
725.26784375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
717.84284375 |
transcript.pyannote[143].end |
718.28159375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
725.89221875 |
transcript.pyannote[144].end |
738.14346875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
735.29159375 |
transcript.pyannote[145].end |
745.31534375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
740.55659375 |
transcript.pyannote[146].end |
742.24409375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
745.45034375 |
transcript.pyannote[147].end |
755.38971875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
747.45846875 |
transcript.pyannote[148].end |
748.53846875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
755.50784375 |
transcript.pyannote[149].end |
760.70534375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
760.85721875 |
transcript.pyannote[150].end |
764.29971875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
762.19034375 |
transcript.pyannote[151].end |
762.52784375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
764.60346875 |
transcript.pyannote[152].end |
766.42596875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
767.03346875 |
transcript.pyannote[153].end |
767.38784375 |
transcript.whisperx[0].start |
1.127 |
transcript.whisperx[0].end |
3.488 |
transcript.whisperx[0].text |
主席我們這裡補充部長有請部長你好 老闆 老闆補充我們今天要說做我們透明化的問題的實際登錄啦在本學要跟你談到的就是說之前我們在內政這個委員會也有討論過也有很多官司都反對這個的做法 |
transcript.whisperx[1].start |
29.944 |
transcript.whisperx[1].end |
44.49 |
transcript.whisperx[1].text |
本席要向您在此探討的是,到目前為止,是否有很多官司反對透明化的實際登錄的做法?是否保證,您來回答一下? |
transcript.whisperx[2].start |
46.331 |
transcript.whisperx[2].end |
52.376 |
transcript.whisperx[2].text |
我們在跟地方政府溝通的過程當中其實不在於地方政府執行的程度他們也願意配合因為租賃市場越透明的話對房客或者對於房東本身啊能夠產生比較好的措施要穩健來推動如果你一方面要求所有的都要做實價登錄的話 |
transcript.whisperx[3].start |
71.73 |
transcript.whisperx[3].end |
81.017 |
transcript.whisperx[3].text |
那房東他可能不想租屋了,整個租屋市場在萎縮的話,不利於房客,但是如果你,然後如果你說以這個房東為主,然後你稅也可以減免,然後也可以不用登錄的話,他這樣子對於房客來講的話又不公平 |
transcript.whisperx[4].start |
91.244 |
transcript.whisperx[4].end |
96.128 |
transcript.whisperx[4].text |
所以怎麼樣讓慢慢的可以不要影響到第一個個資保護還有在市場的推動上面能夠比較這個健康的話我們已經有推出一些措施譬如說剛剛很多人提到的公益房東或者是社會住宅或者是我們用這個去這個識別化的狀況先公佈72.7萬戶我們能夠掌握到的這個租金補貼的方向提供給大家參考也就是說如果有租客看到這些數目的話他會覺得說 |
transcript.whisperx[5].start |
120.768 |
transcript.whisperx[5].end |
126.31 |
transcript.whisperx[5].text |
既然他今天要去租房子,不要讓人家騙了然後對房東來講的話,他也不要覺得說你的價格與眾不同,太高了但是我要跟大家報告,我們大概不會去處理那個頂級的譬如說今天有人要去租地寶,我們可能不會去處理那個所以我們現在出來的不可能是白的 |
transcript.whisperx[6].start |
144.395 |
transcript.whisperx[6].end |
148.257 |
transcript.whisperx[6].text |
因為有時候你的租金的實價登錄時也像剛才我們補充說的那已經上升到最高的最高的租金的行情喔如果破亂了會越去越遠啦所以在這補充我是怎麼說那麼多時間要給你解釋說因為我覺得這需要我們台灣的百姓所了解 |
transcript.whisperx[7].start |
172.529 |
transcript.whisperx[7].end |
173.83 |
transcript.whisperx[7].text |
要做人也好,要人做也好,要了解清楚,不然有的會怕想說自己長期、長期、長期、長期、長期、長期、長期、長期、長期、長期、長期、長期、長期、長期、長期 |
transcript.whisperx[8].start |
192.176 |
transcript.whisperx[8].end |
195.619 |
transcript.whisperx[8].text |
我們也能夠做好,能夠撐快金錢的人去做事的人,能夠讓他們的負擔更輕,所以保長你剛才的解說,我覺得重點不在這裡,甚至你還有要補充什麼來,保長 |
transcript.whisperx[9].start |
212.073 |
transcript.whisperx[9].end |
239.08 |
transcript.whisperx[9].text |
感謝委員我相信這個租賃市場的透明化要慢慢去引導引導的部分就是說要租客本身或者是房屋的這個房東他自己本身覺得朝著這個方向是好的雖然我們已經制定很多法案包括包租代管業者不動產經濟業者那目前也有人慢慢朝這方面推動那目前我們嘗試著再跟這些包租代管業者就是說能夠互相互動更好能夠保障 |
transcript.whisperx[10].start |
239.56 |
transcript.whisperx[10].end |
251.311 |
transcript.whisperx[10].text |
房客跟保障這個房東自己本身兩方面都有得利譬如說剛有委員在講說這個房屋的這個租金過低那房東不願意進入那這個也是我們擔心的尤其是雙北是一個比較大的這個狀況大家都集中到雙北的時候呢 |
transcript.whisperx[11].start |
256.095 |
transcript.whisperx[11].end |
273.643 |
transcript.whisperx[11].text |
展現在我們租賃市場透明化上面呢就會比其他的這個縣市來的比較少那就表示說這個部分呢我們還可以透過包括社會住宅或是包括包租貸管業者或是包括公益出租人或是包括資訊透明的方向要四線一起推動才比較好你現在 |
transcript.whisperx[12].start |
274.884 |
transcript.whisperx[12].end |
288.012 |
transcript.whisperx[12].text |
猛然喔一顆鼓就說我現在要做什麼事情反而造成這個擾動反而對於租屋本身尤其是對於尋找年輕的青年的這個租客本身會有比較大的衝擊啦這個是我們比較擔心的 |
transcript.whisperx[13].start |
291.334 |
transcript.whisperx[13].end |
295.956 |
transcript.whisperx[13].text |
普通在這個地方 我覺得困難的問題都在這裡跟本市長說 你也想要做得好 做努力的我們要透明化一個法律是我們也能讓北市的生活更好所以你應該覺得很用心的去做這個但是在補助的時候 剛才本市長說的 不能做到毀了 |
transcript.whisperx[14].start |
320.746 |
transcript.whisperx[14].end |
323.008 |
transcript.whisperx[14].text |
做到老公欠老女,又出水,沒工機,又棄機,這樣就很害了本來跟你說這是最要緊的,沒說實在,現在的年輕人也很煩惱 |
transcript.whisperx[15].start |
337.62 |
transcript.whisperx[15].end |
344.202 |
transcript.whisperx[15].text |
主一直去,他也怕租金一直去,這是最重要的一部分啦我們補充,這個要去,再上市,去關心一下,去注意一下,後面來可以更好,在這裡本身也要跟你談到,我們這個租金裡面都有限量 |
transcript.whisperx[16].start |
362.428 |
transcript.whisperx[16].end |
369.874 |
transcript.whisperx[16].text |
電子嘛,在正當的出國的時候,我們就是說出租不可以啦,做的人的電子,可以出台電的收銷的錢嘛,但是,那個時候,他會發嘛,最基本的開始,會發三萬到三十萬嘛,但是我覺得我這個時候,會發五萬到五十萬,跟我 |
transcript.whisperx[17].start |
389.688 |
transcript.whisperx[17].end |
396.452 |
transcript.whisperx[17].text |
覺得聽起來,跟你們去檢舉,檢舉做主的人,感覺出去檢舉啦我覺得好玩的就是,你們的政策,未來就是最擔心的說,電子營照這樣站,人萬一,出水啦,在家裡面的時候,也海龍龍耶 |
transcript.whisperx[18].start |
414.042 |
transcript.whisperx[18].end |
418.405 |
transcript.whisperx[18].text |
普通,這種會有時候說他這裡不要去,去這裡,我們一個政策的時候,可以讓他發生,就安心啦,不然有時候這個年輕人會煩惱啦,說今天你們收的,今天你們收集的,跟對我們的租金,不知道有應有無啦,他說我們有時候, |
transcript.whisperx[19].start |
439.637 |
transcript.whisperx[19].end |
443.939 |
transcript.whisperx[19].text |
我們這個租金補貼這個今年3百億我們也聽到補償所說的現在申請的已經63萬幾乎了啦第2期已經9千3百幾乎申請通過有8千133乎啦不然未來 |
transcript.whisperx[20].start |
466.431 |
transcript.whisperx[20].end |
468.574 |
transcript.whisperx[20].text |
我們的租金會補貼的時候,我們沒有辦法 |
transcript.whisperx[21].start |
471.445 |
transcript.whisperx[21].end |
474.287 |
transcript.whisperx[21].text |
一檔的補貼 譬如說補貼到10月 譬如說補貼到10月剩下的那一兩個月 要花多少錢 怎樣去想法啦所以說補貼 本身是覺得說我們的財務財務啦 看財務啦在地方的時候 我們這個租金補貼 也是很要緊的啦像高利貸 |
transcript.whisperx[22].start |
498.803 |
transcript.whisperx[22].end |
500.045 |
transcript.whisperx[22].text |
八千一百三十三戶,一戶兩個就好,就應用到萬樂的了所以保證,這個租金補貼,是對需要的人 |
transcript.whisperx[23].start |
514.462 |
transcript.whisperx[23].end |
516.804 |
transcript.whisperx[23].text |
非常的煩惱說 跟我今年未來 我的資金要怎樣 要去帶酒 要去帶鐵嗎來 補充 這個問題你回答一下謝謝 王議員的關心啦 沒錯啦 因為今年的三百億裡面因為我們是要行政院有一個公務預算撥補兩百億啦 |
transcript.whisperx[24].start |
535.864 |
transcript.whisperx[24].end |
543.927 |
transcript.whisperx[24].text |
那現在當然就是卡在立法院那那個嘉義市現在的這個合訂啦到3月20的時候是合訂是8000多戶8137戶那撥款的金額是7000多萬但是沒有錯有可能到10月或11月的時候呢這個租金就用盡了啦對 因為本身我們有要跟你們有要探討這個問題可能沒辦法 沒辦法撥得出來啦 |
transcript.whisperx[25].start |
560.333 |
transcript.whisperx[25].end |
565.037 |
transcript.whisperx[25].text |
因為我們前述不夠因為我們原先預估的是三百億嘛現在兩百億掉在柳煥英裡面所以我本身想跟你說這看要如何邀請他去解決這個問題 |
transcript.whisperx[26].start |
576.528 |
transcript.whisperx[26].end |
579.512 |
transcript.whisperx[26].text |
當時要怎麼處理,有些人覺得他做法不是這樣,我覺得這個問題對北省的租金來說非常大 |
transcript.whisperx[27].start |
593.867 |
transcript.whisperx[27].end |
603.934 |
transcript.whisperx[27].text |
對 尤其是很多年輕人 他們很大 他們的租金打折啦打折 打成八折或是打成九折那現在我們要跟你說的就是 你的申請到現在 你沒有到 到現在還可以申請喔 |
transcript.whisperx[28].start |
611.278 |
transcript.whisperx[28].end |
613.039 |
transcript.whisperx[28].text |
因為你們的目標是75萬戶,現在63萬戶,你們現在說錢沒夠喔現在這是一個問題喔,保證,你要上市去算好喔本身要跟你說一下,租用住宅,你們在這裡面有規定 |
transcript.whisperx[29].start |
634.289 |
transcript.whisperx[29].end |
639.794 |
transcript.whisperx[29].text |
我們會覺得四十平方公尺給台灣人叫做十二倍啦在這個年代 我覺得你們要去評估 再去看一下有時候他的故鄉 阿嬤大了 還有老闆出了有時候又退出了 你們如果整天這樣有時候他有沒有心情 又沒辦法心情 我知道你們的後遺 |
transcript.whisperx[30].start |
660.333 |
transcript.whisperx[30].end |
664.396 |
transcript.whisperx[30].text |
你們真正要想辦法說我們本來要補貼是老白老虎剩下現在老白老虎沒剩下算配合自己啦我認為未來你們要去上市去看去處理因為本身的資訊的時間也夠了啦因為最美的一點就是我們的基本資助的水準啦 |
transcript.whisperx[31].start |
688.436 |
transcript.whisperx[31].end |
693.777 |
transcript.whisperx[31].text |
在這裏面已經十幾年了,你們要如何去處理,去解決問題正當我們的林宥昌部長也有說過,要改到現在本席所了解,不然改 |
transcript.whisperx[32].start |
706.981 |
transcript.whisperx[32].end |
715.069 |
transcript.whisperx[32].text |
我們補貼這個數據先辦單位用心去處理以上謝謝 我給王議員再補充數字我們累計申請的這個租金補貼現在是75萬8千多戶那合訂的話是64萬2千多戶 |
transcript.whisperx[33].start |
725.938 |
transcript.whisperx[33].end |
734.184 |
transcript.whisperx[33].text |
那你剛所提到的就是說他在申請的面積上面的算法的話我們再跟地方政府再來核定一下看怎麼對讓地方政府來做比較詳細的審查 |
transcript.whisperx[34].start |
755.658 |
transcript.whisperx[34].end |
763.512 |
transcript.whisperx[34].text |
去配合去了解啦我們來合調可以讓這個政府的美意再做好到底啦是好我們來改進好感謝完美會委員 |