IVOD_ID |
162199 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162199 |
日期 |
2025-06-04 |
會議資料.會議代碼 |
委員會-11-3-15-24 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第24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 |
24 |
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24次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-04T09:58:34+08:00 |
結束時間 |
2025-06-04T10:13:01+08:00 |
影片長度 |
00:14:27 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dfdeed74d30b98287123029420161dde55f40b4dcc086d9f1b0714f80b9af8b53309862b0372d3b35ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王美惠 |
委員發言時間 |
09:58:34 - 10:13:01 |
會議時間 |
2025-06-04T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第24次全體委員會議(事由:一、建築法:
(一) 審查委員賴瑞隆等16人擬具「建築法第九十一條條文修正草案」案。
(二) 審查委員顏寬恒等21人擬具「建築法第七十三條條文修正草案」案。
(三) 審查委員伍麗華Saidhai Tahovecahe等16人擬具「建築法第九十九條之一條文修正草案」案。
(四) 審查委員黃建賓等16人擬具「建築法第五十六條、第五十八條及第八十七條條文修正草案」案。
(五) 審查委員徐巧芯等22人擬具「建築法第八十九條條文修正草案」案。
(六) 審查委員陳菁徽等20人擬具「建築法第九十七條條文修正草案」案。
(七) 審查委員顏寬恒等17人擬具「建築法第九十七條條文修正草案」案。
(八) 審查委員林岱樺等17人擬具「建築法第五十四條條文修正草案」案。
(九) 審查委員陳超明等18人擬具「建築法第七十七條之二及第九十五條之一條文修正草案」案。
(十) 審查台灣民眾黨黨團擬具「建築法第七十七條之二及第九十五條之一條文修正草案」案。
(十一) 審查委員邱鎮軍等19人擬具「建築法第七十七條條文修正草案」案。
(十二) 審查委員邱鎮軍等18人擬具「建築法第六十三條及第八十九條條文修正草案」案。
二、平均地權條例:
審查委員牛煦庭等18人擬具「平均地權條例第二十五條條文修正草案」案。
【全案合併詢答;建築法第(十)案如經院會復議則不予審查,建築法第(十一)及(十二)案如未經院會交付本會審查或未經各黨團簽署不復議同意書則不予審查】【6月4日及5日兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
5.75159375 |
transcript.pyannote[0].end |
5.76846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
5.76846875 |
transcript.pyannote[1].end |
9.16034375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
9.27846875 |
transcript.pyannote[2].end |
10.30784375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
13.10909375 |
transcript.pyannote[3].end |
14.15534375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
14.89784375 |
transcript.pyannote[4].end |
16.77096875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
17.41221875 |
transcript.pyannote[5].end |
18.10409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
18.61034375 |
transcript.pyannote[6].end |
20.17971875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
21.14159375 |
transcript.pyannote[7].end |
23.68971875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
24.83721875 |
transcript.pyannote[8].end |
26.01846875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
26.99721875 |
transcript.pyannote[9].end |
28.27971875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
28.85346875 |
transcript.pyannote[10].end |
30.35534375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
30.62534375 |
transcript.pyannote[11].end |
31.45221875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
32.43096875 |
transcript.pyannote[12].end |
34.48971875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
35.26596875 |
transcript.pyannote[13].end |
36.37971875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
37.56096875 |
transcript.pyannote[14].end |
38.67471875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
39.61971875 |
transcript.pyannote[15].end |
40.63221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
41.25659375 |
transcript.pyannote[16].end |
42.72471875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
43.99034375 |
transcript.pyannote[17].end |
45.64409375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
45.69471875 |
transcript.pyannote[18].end |
47.98971875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
48.58034375 |
transcript.pyannote[19].end |
50.63909375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
51.24659375 |
transcript.pyannote[20].end |
52.39409375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
52.91721875 |
transcript.pyannote[21].end |
53.98034375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
54.85784375 |
transcript.pyannote[22].end |
56.61284375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
57.28784375 |
transcript.pyannote[23].end |
58.94159375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
59.39721875 |
transcript.pyannote[24].end |
60.22409375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
60.76409375 |
transcript.pyannote[25].end |
62.14784375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
63.31221875 |
transcript.pyannote[26].end |
64.35846875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
65.25284375 |
transcript.pyannote[27].end |
66.97409375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
67.64909375 |
transcript.pyannote[28].end |
69.13409375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
69.99471875 |
transcript.pyannote[29].end |
72.67784375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
73.13346875 |
transcript.pyannote[30].end |
74.01096875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
74.53409375 |
transcript.pyannote[31].end |
76.77846875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
77.43659375 |
transcript.pyannote[32].end |
78.95534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
79.42784375 |
transcript.pyannote[33].end |
82.33034375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
82.80284375 |
transcript.pyannote[34].end |
85.70534375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
85.75596875 |
transcript.pyannote[35].end |
87.17346875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
87.66284375 |
transcript.pyannote[36].end |
90.85221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
91.57784375 |
transcript.pyannote[37].end |
92.82659375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
94.26096875 |
transcript.pyannote[38].end |
95.10471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
96.42096875 |
transcript.pyannote[39].end |
98.59784375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
99.96471875 |
transcript.pyannote[40].end |
103.22159375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
104.48721875 |
transcript.pyannote[41].end |
107.10284375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
107.67659375 |
transcript.pyannote[42].end |
111.27096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
111.91221875 |
transcript.pyannote[43].end |
112.97534375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
113.43096875 |
transcript.pyannote[44].end |
114.93284375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
115.91159375 |
transcript.pyannote[45].end |
117.17721875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
117.48096875 |
transcript.pyannote[46].end |
118.45971875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
119.79284375 |
transcript.pyannote[47].end |
120.50159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
121.26096875 |
transcript.pyannote[48].end |
123.03284375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
124.11284375 |
transcript.pyannote[49].end |
130.17096875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
130.79534375 |
transcript.pyannote[50].end |
132.75284375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
133.79909375 |
transcript.pyannote[51].end |
135.57096875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
136.02659375 |
transcript.pyannote[52].end |
137.71409375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
138.52409375 |
transcript.pyannote[53].end |
139.72221875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
140.26221875 |
transcript.pyannote[54].end |
141.44346875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
142.30409375 |
transcript.pyannote[55].end |
142.62471875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
142.84409375 |
transcript.pyannote[56].end |
144.31221875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
144.81846875 |
transcript.pyannote[57].end |
145.99971875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
146.96159375 |
transcript.pyannote[58].end |
147.60284375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
147.95721875 |
transcript.pyannote[59].end |
148.85159375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
149.47596875 |
transcript.pyannote[60].end |
151.39971875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
152.00721875 |
transcript.pyannote[61].end |
153.35721875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
154.08284375 |
transcript.pyannote[62].end |
155.23034375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
155.78721875 |
transcript.pyannote[63].end |
158.16659375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
159.22971875 |
transcript.pyannote[64].end |
160.03971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
160.73159375 |
transcript.pyannote[65].end |
162.62159375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
163.44846875 |
transcript.pyannote[66].end |
165.05159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
165.77721875 |
transcript.pyannote[67].end |
167.22846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
167.70096875 |
transcript.pyannote[68].end |
170.45159375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
171.39659375 |
transcript.pyannote[69].end |
172.03784375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
173.43846875 |
transcript.pyannote[70].end |
174.55221875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
174.78846875 |
transcript.pyannote[71].end |
175.80096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
176.74596875 |
transcript.pyannote[72].end |
178.39971875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
178.80471875 |
transcript.pyannote[73].end |
179.36159375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
179.81721875 |
transcript.pyannote[74].end |
181.65659375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
182.68596875 |
transcript.pyannote[75].end |
184.01909375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
184.91346875 |
transcript.pyannote[76].end |
186.39846875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
186.98909375 |
transcript.pyannote[77].end |
190.34721875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
191.00534375 |
transcript.pyannote[78].end |
192.13596875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
192.57471875 |
transcript.pyannote[79].end |
194.59971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
195.91596875 |
transcript.pyannote[80].end |
197.35034375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
198.49784375 |
transcript.pyannote[81].end |
199.88159375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
200.80971875 |
transcript.pyannote[82].end |
203.34096875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
203.94846875 |
transcript.pyannote[83].end |
206.27721875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
206.90159375 |
transcript.pyannote[84].end |
209.07846875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
209.70284375 |
transcript.pyannote[85].end |
211.87971875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
212.16659375 |
transcript.pyannote[86].end |
214.22534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
215.49096875 |
transcript.pyannote[87].end |
216.55409375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
216.94221875 |
transcript.pyannote[88].end |
217.76909375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
218.32596875 |
transcript.pyannote[89].end |
220.36784375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
220.77284375 |
transcript.pyannote[90].end |
224.04659375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
224.23221875 |
transcript.pyannote[91].end |
226.37534375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
226.61159375 |
transcript.pyannote[92].end |
231.45471875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
232.04534375 |
transcript.pyannote[93].end |
233.42909375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
233.76659375 |
transcript.pyannote[94].end |
236.29784375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
236.85471875 |
transcript.pyannote[95].end |
238.49159375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
238.67721875 |
transcript.pyannote[96].end |
241.19159375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
241.76534375 |
transcript.pyannote[97].end |
243.79034375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
244.38096875 |
transcript.pyannote[98].end |
245.39346875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
245.89971875 |
transcript.pyannote[99].end |
246.59159375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
247.01346875 |
transcript.pyannote[100].end |
249.78096875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
250.42221875 |
transcript.pyannote[101].end |
250.72596875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
251.13096875 |
transcript.pyannote[102].end |
253.18971875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
253.62846875 |
transcript.pyannote[103].end |
254.62409375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
255.07971875 |
transcript.pyannote[104].end |
255.95721875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
256.15971875 |
transcript.pyannote[105].end |
258.10034375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
258.57284375 |
transcript.pyannote[106].end |
260.53034375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
261.30659375 |
transcript.pyannote[107].end |
263.53409375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
264.10784375 |
transcript.pyannote[108].end |
266.80784375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
267.55034375 |
transcript.pyannote[109].end |
270.18284375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
270.55409375 |
transcript.pyannote[110].end |
273.35534375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
273.77721875 |
transcript.pyannote[111].end |
297.41909375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
275.85284375 |
transcript.pyannote[112].end |
276.30846875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
281.08409375 |
transcript.pyannote[113].end |
281.47221875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
293.38596875 |
transcript.pyannote[114].end |
293.77409375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
294.29721875 |
transcript.pyannote[115].end |
299.51159375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
298.85346875 |
transcript.pyannote[116].end |
313.16346875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
311.05409375 |
transcript.pyannote[117].end |
311.08784375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
312.69096875 |
transcript.pyannote[118].end |
314.47971875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
315.10409375 |
transcript.pyannote[119].end |
317.83784375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
318.20909375 |
transcript.pyannote[120].end |
319.45784375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
319.52534375 |
transcript.pyannote[121].end |
320.72346875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
321.21284375 |
transcript.pyannote[122].end |
322.34346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
322.78221875 |
transcript.pyannote[123].end |
324.11534375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
324.38534375 |
transcript.pyannote[124].end |
325.68471875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
326.10659375 |
transcript.pyannote[125].end |
327.01784375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
327.40596875 |
transcript.pyannote[126].end |
328.89096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
329.36346875 |
transcript.pyannote[127].end |
333.02534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
333.59909375 |
transcript.pyannote[128].end |
336.01221875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
337.12596875 |
transcript.pyannote[129].end |
340.85534375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
341.54721875 |
transcript.pyannote[130].end |
343.74096875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
344.23034375 |
transcript.pyannote[131].end |
345.56346875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
346.44096875 |
transcript.pyannote[132].end |
347.28471875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
347.52096875 |
transcript.pyannote[133].end |
349.02284375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
349.59659375 |
transcript.pyannote[134].end |
349.96784375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
351.25034375 |
transcript.pyannote[135].end |
352.43159375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
352.68471875 |
transcript.pyannote[136].end |
353.91659375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
355.04721875 |
transcript.pyannote[137].end |
358.25346875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
357.84846875 |
transcript.pyannote[138].end |
357.88221875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
358.62471875 |
transcript.pyannote[139].end |
362.48909375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
362.80971875 |
transcript.pyannote[140].end |
363.77159375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
363.99096875 |
transcript.pyannote[141].end |
368.63159375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
370.40346875 |
transcript.pyannote[142].end |
371.66909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
371.68596875 |
transcript.pyannote[143].end |
371.73659375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
371.73659375 |
transcript.pyannote[144].end |
371.98971875 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
372.20909375 |
transcript.pyannote[145].end |
372.90096875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
372.44534375 |
transcript.pyannote[146].end |
373.18784375 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
373.18784375 |
transcript.pyannote[147].end |
400.59284375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
382.82346875 |
transcript.pyannote[148].end |
383.24534375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
400.93034375 |
transcript.pyannote[149].end |
413.80596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
413.35034375 |
transcript.pyannote[150].end |
416.77596875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
416.30346875 |
transcript.pyannote[151].end |
416.48909375 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
416.74221875 |
transcript.pyannote[152].end |
422.22659375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
421.19721875 |
transcript.pyannote[153].end |
423.81284375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
423.59346875 |
transcript.pyannote[154].end |
425.90534375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
425.92221875 |
transcript.pyannote[155].end |
426.76596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
427.23846875 |
transcript.pyannote[156].end |
431.08596875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
431.57534375 |
transcript.pyannote[157].end |
433.09409375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
434.35971875 |
transcript.pyannote[158].end |
437.73471875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
436.99221875 |
transcript.pyannote[159].end |
439.94534375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
440.21534375 |
transcript.pyannote[160].end |
442.64534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
442.98284375 |
transcript.pyannote[161].end |
445.68284375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
445.86846875 |
transcript.pyannote[162].end |
447.06659375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
447.53909375 |
transcript.pyannote[163].end |
449.00721875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
449.29409375 |
transcript.pyannote[164].end |
453.10784375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
453.74909375 |
transcript.pyannote[165].end |
455.60534375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
456.75284375 |
transcript.pyannote[166].end |
457.27596875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
457.64721875 |
transcript.pyannote[167].end |
459.90846875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
460.38096875 |
transcript.pyannote[168].end |
462.59159375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
462.94596875 |
transcript.pyannote[169].end |
465.02159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
465.64596875 |
transcript.pyannote[170].end |
466.65846875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
467.72159375 |
transcript.pyannote[171].end |
468.70034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
469.49346875 |
transcript.pyannote[172].end |
470.38784375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
471.58596875 |
transcript.pyannote[173].end |
472.29471875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
473.15534375 |
transcript.pyannote[174].end |
473.81346875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
474.53909375 |
transcript.pyannote[175].end |
477.35721875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
477.76221875 |
transcript.pyannote[176].end |
480.27659375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
480.64784375 |
transcript.pyannote[177].end |
484.07346875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
484.96784375 |
transcript.pyannote[178].end |
486.55409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
487.44846875 |
transcript.pyannote[179].end |
487.95471875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
489.74346875 |
transcript.pyannote[180].end |
490.53659375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
491.29596875 |
transcript.pyannote[181].end |
492.94971875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
493.99596875 |
transcript.pyannote[182].end |
494.73846875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
495.32909375 |
transcript.pyannote[183].end |
497.62409375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
498.80534375 |
transcript.pyannote[184].end |
500.84721875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
501.26909375 |
transcript.pyannote[185].end |
503.53034375 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
504.89721875 |
transcript.pyannote[186].end |
508.82909375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
508.06971875 |
transcript.pyannote[187].end |
509.43659375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
509.47034375 |
transcript.pyannote[188].end |
512.69346875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
512.47409375 |
transcript.pyannote[189].end |
517.09784375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
513.01409375 |
transcript.pyannote[190].end |
513.53721875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
517.38471875 |
transcript.pyannote[191].end |
519.22409375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
519.40971875 |
transcript.pyannote[192].end |
522.73409375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
523.27409375 |
transcript.pyannote[193].end |
525.29909375 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
526.15971875 |
transcript.pyannote[194].end |
534.68159375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
533.92221875 |
transcript.pyannote[195].end |
534.58034375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
534.68159375 |
transcript.pyannote[196].end |
539.49096875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
539.92971875 |
transcript.pyannote[197].end |
543.05159375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
543.59159375 |
transcript.pyannote[198].end |
544.94159375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
545.24534375 |
transcript.pyannote[199].end |
547.16909375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
547.79346875 |
transcript.pyannote[200].end |
549.44721875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
550.67909375 |
transcript.pyannote[201].end |
551.37096875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
551.80971875 |
transcript.pyannote[202].end |
552.95721875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
553.44659375 |
transcript.pyannote[203].end |
554.37471875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
555.18471875 |
transcript.pyannote[204].end |
555.99471875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
557.09159375 |
transcript.pyannote[205].end |
558.57659375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
559.67346875 |
transcript.pyannote[206].end |
560.82096875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
561.34409375 |
transcript.pyannote[207].end |
562.89659375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
563.57159375 |
transcript.pyannote[208].end |
565.52909375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
566.37284375 |
transcript.pyannote[209].end |
570.65909375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
571.62096875 |
transcript.pyannote[210].end |
575.29971875 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
576.71721875 |
transcript.pyannote[211].end |
576.80159375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
576.80159375 |
transcript.pyannote[212].end |
576.81846875 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
580.09221875 |
transcript.pyannote[213].end |
583.18034375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
582.21846875 |
transcript.pyannote[214].end |
583.41659375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
583.80471875 |
transcript.pyannote[215].end |
587.02784375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
587.26409375 |
transcript.pyannote[216].end |
593.72721875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
594.23346875 |
transcript.pyannote[217].end |
596.68034375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
596.91659375 |
transcript.pyannote[218].end |
598.51971875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
598.78971875 |
transcript.pyannote[219].end |
599.66721875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
600.00471875 |
transcript.pyannote[220].end |
602.16471875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
602.56971875 |
transcript.pyannote[221].end |
604.98284375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
605.33721875 |
transcript.pyannote[222].end |
607.49721875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
607.83471875 |
transcript.pyannote[223].end |
608.25659375 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
608.50971875 |
transcript.pyannote[224].end |
609.45471875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
609.99471875 |
transcript.pyannote[225].end |
613.03221875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
613.90971875 |
transcript.pyannote[226].end |
616.62659375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
617.01471875 |
transcript.pyannote[227].end |
617.94284375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
618.26346875 |
transcript.pyannote[228].end |
619.54596875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
619.83284375 |
transcript.pyannote[229].end |
621.55409375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
621.89159375 |
transcript.pyannote[230].end |
623.95034375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
624.49034375 |
transcript.pyannote[231].end |
625.95846875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
626.75159375 |
transcript.pyannote[232].end |
630.48096875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
630.91971875 |
transcript.pyannote[233].end |
631.86471875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
632.15159375 |
transcript.pyannote[234].end |
635.64471875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
635.96534375 |
transcript.pyannote[235].end |
636.92721875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
637.72034375 |
transcript.pyannote[236].end |
640.50471875 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
640.63971875 |
transcript.pyannote[237].end |
642.56346875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
642.58034375 |
transcript.pyannote[238].end |
645.51659375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
646.07346875 |
transcript.pyannote[239].end |
648.18284375 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
648.62159375 |
transcript.pyannote[240].end |
649.17846875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
649.21221875 |
transcript.pyannote[241].end |
650.54534375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
650.89971875 |
transcript.pyannote[242].end |
653.90346875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
655.11846875 |
transcript.pyannote[243].end |
656.06346875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
656.53596875 |
transcript.pyannote[244].end |
658.66221875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
659.37096875 |
transcript.pyannote[245].end |
659.96159375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
660.58596875 |
transcript.pyannote[246].end |
662.39159375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
662.84721875 |
transcript.pyannote[247].end |
663.50534375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
664.16346875 |
transcript.pyannote[248].end |
666.34034375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
666.99846875 |
transcript.pyannote[249].end |
667.97721875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
668.78721875 |
transcript.pyannote[250].end |
670.52534375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
671.14971875 |
transcript.pyannote[251].end |
672.11159375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
672.85409375 |
transcript.pyannote[252].end |
676.12784375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
676.46534375 |
transcript.pyannote[253].end |
679.31721875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
679.58721875 |
transcript.pyannote[254].end |
680.78534375 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
681.30846875 |
transcript.pyannote[255].end |
684.68346875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
685.10534375 |
transcript.pyannote[256].end |
687.09659375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
687.48471875 |
transcript.pyannote[257].end |
690.33659375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
690.55596875 |
transcript.pyannote[258].end |
693.64409375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
694.18409375 |
transcript.pyannote[259].end |
694.99409375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
695.48346875 |
transcript.pyannote[260].end |
696.79971875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
697.42409375 |
transcript.pyannote[261].end |
698.53784375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
698.89221875 |
transcript.pyannote[262].end |
700.32659375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
700.76534375 |
transcript.pyannote[263].end |
701.52471875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
702.03096875 |
transcript.pyannote[264].end |
703.90409375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
704.35971875 |
transcript.pyannote[265].end |
705.43971875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
706.57034375 |
transcript.pyannote[266].end |
724.87971875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
711.97034375 |
transcript.pyannote[267].end |
712.12221875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
712.12221875 |
transcript.pyannote[268].end |
712.25721875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
717.99471875 |
transcript.pyannote[269].end |
718.19721875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
724.87971875 |
transcript.pyannote[270].end |
725.40284375 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
725.23409375 |
transcript.pyannote[271].end |
728.74409375 |
transcript.pyannote[272].speaker |
SPEAKER_02 |
transcript.pyannote[272].start |
728.87909375 |
transcript.pyannote[272].end |
757.66784375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
732.91221875 |
transcript.pyannote[273].end |
733.43534375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
733.43534375 |
transcript.pyannote[274].end |
733.48596875 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
737.28284375 |
transcript.pyannote[275].end |
737.31659375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
737.31659375 |
transcript.pyannote[276].end |
737.48534375 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
737.48534375 |
transcript.pyannote[277].end |
737.68784375 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
754.52909375 |
transcript.pyannote[278].end |
755.00159375 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
756.11534375 |
transcript.pyannote[279].end |
756.70596875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
757.14471875 |
transcript.pyannote[280].end |
759.54096875 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
759.91221875 |
transcript.pyannote[281].end |
761.97096875 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
762.20721875 |
transcript.pyannote[282].end |
762.66284375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
762.98346875 |
transcript.pyannote[283].end |
763.72596875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
763.28721875 |
transcript.pyannote[284].end |
767.33721875 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
768.19784375 |
transcript.pyannote[285].end |
779.43659375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
775.58909375 |
transcript.pyannote[286].end |
775.94346875 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
776.07846875 |
transcript.pyannote[287].end |
780.36471875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
780.48284375 |
transcript.pyannote[288].end |
785.02221875 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
785.02221875 |
transcript.pyannote[289].end |
785.42721875 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
785.51159375 |
transcript.pyannote[290].end |
789.76409375 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
790.23659375 |
transcript.pyannote[291].end |
790.54034375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
790.37159375 |
transcript.pyannote[292].end |
790.67534375 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
791.41784375 |
transcript.pyannote[293].end |
792.14346875 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
792.36284375 |
transcript.pyannote[294].end |
793.91534375 |
transcript.pyannote[295].speaker |
SPEAKER_02 |
transcript.pyannote[295].start |
792.39659375 |
transcript.pyannote[295].end |
792.91971875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
794.13471875 |
transcript.pyannote[296].end |
797.91471875 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
798.40409375 |
transcript.pyannote[297].end |
799.38284375 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
799.78784375 |
transcript.pyannote[298].end |
802.20096875 |
transcript.pyannote[299].speaker |
SPEAKER_01 |
transcript.pyannote[299].start |
802.74096875 |
transcript.pyannote[299].end |
806.28471875 |
transcript.pyannote[300].speaker |
SPEAKER_02 |
transcript.pyannote[300].start |
806.38596875 |
transcript.pyannote[300].end |
806.74034375 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
806.74034375 |
transcript.pyannote[301].end |
807.16221875 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
807.49971875 |
transcript.pyannote[302].end |
807.87096875 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
808.25909375 |
transcript.pyannote[303].end |
811.53284375 |
transcript.pyannote[304].speaker |
SPEAKER_02 |
transcript.pyannote[304].start |
808.29284375 |
transcript.pyannote[304].end |
810.52034375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
811.53284375 |
transcript.pyannote[305].end |
811.95471875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
811.90409375 |
transcript.pyannote[306].end |
820.89846875 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
814.95846875 |
transcript.pyannote[307].end |
815.76846875 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
819.91971875 |
transcript.pyannote[308].end |
824.47596875 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
821.69159375 |
transcript.pyannote[309].end |
822.16409375 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
824.64471875 |
transcript.pyannote[310].end |
836.65971875 |
transcript.pyannote[311].speaker |
SPEAKER_01 |
transcript.pyannote[311].start |
834.93846875 |
transcript.pyannote[311].end |
839.81534375 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
836.96346875 |
transcript.pyannote[312].end |
837.79034375 |
transcript.pyannote[313].speaker |
SPEAKER_01 |
transcript.pyannote[313].start |
840.20346875 |
transcript.pyannote[313].end |
841.21596875 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
842.22846875 |
transcript.pyannote[314].end |
843.88221875 |
transcript.pyannote[315].speaker |
SPEAKER_02 |
transcript.pyannote[315].start |
844.18596875 |
transcript.pyannote[315].end |
846.34596875 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
845.09721875 |
transcript.pyannote[316].end |
847.42596875 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
846.36284375 |
transcript.pyannote[317].end |
851.27346875 |
transcript.pyannote[318].speaker |
SPEAKER_01 |
transcript.pyannote[318].start |
850.53096875 |
transcript.pyannote[318].end |
851.88096875 |
transcript.pyannote[319].speaker |
SPEAKER_02 |
transcript.pyannote[319].start |
851.84721875 |
transcript.pyannote[319].end |
856.18409375 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
855.42471875 |
transcript.pyannote[320].end |
855.86346875 |
transcript.pyannote[321].speaker |
SPEAKER_01 |
transcript.pyannote[321].start |
856.52159375 |
transcript.pyannote[321].end |
856.99409375 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
857.38221875 |
transcript.pyannote[322].end |
857.95596875 |
transcript.pyannote[323].speaker |
SPEAKER_02 |
transcript.pyannote[323].start |
858.15846875 |
transcript.pyannote[323].end |
858.73221875 |
transcript.pyannote[324].speaker |
SPEAKER_01 |
transcript.pyannote[324].start |
858.15846875 |
transcript.pyannote[324].end |
858.83346875 |
transcript.pyannote[325].speaker |
SPEAKER_01 |
transcript.pyannote[325].start |
859.12034375 |
transcript.pyannote[325].end |
860.14971875 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
859.15409375 |
transcript.pyannote[326].end |
859.82909375 |
transcript.pyannote[327].speaker |
SPEAKER_02 |
transcript.pyannote[327].start |
860.26784375 |
transcript.pyannote[327].end |
860.57159375 |
transcript.pyannote[328].speaker |
SPEAKER_02 |
transcript.pyannote[328].start |
861.88784375 |
transcript.pyannote[328].end |
862.90034375 |
transcript.pyannote[329].speaker |
SPEAKER_02 |
transcript.pyannote[329].start |
863.64284375 |
transcript.pyannote[329].end |
864.99284375 |
transcript.pyannote[330].speaker |
SPEAKER_02 |
transcript.pyannote[330].start |
865.33034375 |
transcript.pyannote[330].end |
865.92096875 |
transcript.pyannote[331].speaker |
SPEAKER_02 |
transcript.pyannote[331].start |
866.32596875 |
transcript.pyannote[331].end |
866.96721875 |
transcript.whisperx[0].start |
5.768 |
transcript.whisperx[0].end |
9.951 |
transcript.whisperx[0].text |
主席我們請部長跟國土署署長劉部長、吳署長有請委員老大部長老大、署長老大署長跟部長應該知道最近假日期跟婚禮都有發生健康基礎的問題 |
transcript.whisperx[1].start |
32.486 |
transcript.whisperx[1].end |
34.467 |
transcript.whisperx[1].text |
在這裡面說實在的,我們都覺得說,我們的財產,欠也欠,去買買一間房子,以前是怕自己買的時候不便宜,所以我們中央政府有一個信託, |
transcript.whisperx[2].start |
54.932 |
transcript.whisperx[2].end |
59.92 |
transcript.whisperx[2].text |
在信託裡面,我們有五個方法,給健康的選擇,要在我看起來,這五個方法 |
transcript.whisperx[3].start |
70.091 |
transcript.whisperx[3].end |
76.635 |
transcript.whisperx[3].text |
差不多都是保障健康完全沒有看到我們要處理好萬一健康倒下或是健康沒有進行的時候要如何對我們的百姓來有什麼幫助尤其這五個方法 |
transcript.whisperx[4].start |
99.994 |
transcript.whisperx[4].end |
103.196 |
transcript.whisperx[4].text |
不是我們買房子的人選擇的啦是建商自己選擇的尤其跟他最近發生了一件事這個建商是選擇他的基金互相報的啦他在這個基金裡面 |
transcript.whisperx[5].start |
124.113 |
transcript.whisperx[5].end |
126.255 |
transcript.whisperx[5].text |
雖然我們沒有在祈祷什麼,也知道他們家鄉有很多公司的互相來做報,這間如果倒閉,一年代的關係,就都倒閉了所以說保證,這個過程當中,我真的看到 |
transcript.whisperx[6].start |
146.994 |
transcript.whisperx[6].end |
153.039 |
transcript.whisperx[6].text |
這二十五個我們的服務組的定情對我們的企業是這麼大要不要收了解一下說實在我鼻鼻鼻鼻的好辛苦你看他們欠的欠有的拿八十萬有的已經拿兩百幾萬要不然我們有辦法保證什麼 |
transcript.whisperx[7].start |
176.792 |
transcript.whisperx[7].end |
181.055 |
transcript.whisperx[7].text |
像我們的港北省,因為它還有信託啊,所以我不怕結果沒去過說,那棟房子已經去到95%了,已經要交他們的租金了,金箱只有六個月 |
transcript.whisperx[8].start |
198.53 |
transcript.whisperx[8].end |
199.811 |
transcript.whisperx[8].text |
像這個問題,雖然我們沒有辦法去管理他健康會不會到,但是我們的心保是不是要有一個再修改的改進 |
transcript.whisperx[9].start |
215.52 |
transcript.whisperx[9].end |
222.865 |
transcript.whisperx[9].text |
我感覺看起來,這國家怎麼幫助北省什麼啦所以在這裏面的過程當中,保證你有什麼好的意見,讓這裡的北省年輕人想要買房子,不可以再封,說得這麼難聽,說得這麼方便啦說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽,說得這麼難聽 |
transcript.whisperx[10].start |
244.458 |
transcript.whisperx[10].end |
249.682 |
transcript.whisperx[10].text |
所以保證在這裡我重點要講到四分之一你如何要讓百姓知道嗎說實在對一個百姓來說有的有錢人聽到沒有什麼對一個百姓對我來說我做到百姓說的話是非常心疼的保證是不是你有什麼好辦法 |
transcript.whisperx[11].start |
274.26 |
transcript.whisperx[11].end |
279.904 |
transcript.whisperx[11].text |
報告委員啦,很感謝委員的關心啦尤其是這間的部分,一般聽說就是叫做爛尾樓啦但是呢,這19戶裡面已經全部賣掉了但是呢,他那時候有拆出一個叫做戒金信託,價金信託啦就是從我來講,沒有在裡面選定一間 |
transcript.whisperx[12].start |
299.557 |
transcript.whisperx[12].end |
314.143 |
transcript.whisperx[12].text |
那價金信託的部分呢我們怎麼樣從這個地方來拆解包括說未來可能要走到民事訴訟的部分相關的處理機制我可不可以牽起我們地政司長幫你報告一下好不好我們再來看要怎麼好的改革好不好因為 司長因為補充解說這樣啦那我要跟你說是覺得說我們未來這個環不是保障健康啦在我所了解啦 |
transcript.whisperx[13].start |
329.429 |
transcript.whisperx[13].end |
332.371 |
transcript.whisperx[13].text |
他的地域已經有第二台第三台了所有19號買的人完全沒有辦法請出任何什麼錢所以說在這個規定裡面,我們的手法裡面漸漸世代的變化,我們北省的人民,我覺得有信託 |
transcript.whisperx[14].start |
355.28 |
transcript.whisperx[14].end |
361.805 |
transcript.whisperx[14].text |
跟健相拿回去,我找小孩就好了結果沒去過,第五條的這個找小孩的時候小孩說,跟他去交代,跟我就給他娘,跟他一娘了了 |
transcript.whisperx[15].start |
370.461 |
transcript.whisperx[15].end |
388.966 |
transcript.whisperx[15].text |
市長你知不知道那個委員一直很關心這個案子所以那個嘉義市的部分已經在昨天有召開消保的一個調處那這個房子的話建案其實是已經蓋好可是實在還拿不出來那因為昨天因為建商他們也沒有出面所以以至於調處不成 |
transcript.whisperx[16].start |
390.146 |
transcript.whisperx[16].end |
411.459 |
transcript.whisperx[16].text |
那其實嘉義市政府之前也在有透過工會在看有沒有建商有續建的機制這個也是另外在處理的一條路那委員特別關心就是有關預收履約保證機制就是要怎麼樣照顧好我們買方保護好我們買方其實我們內政部從去年前年就開始去做一些相關的檢討 |
transcript.whisperx[17].start |
412.219 |
transcript.whisperx[17].end |
424.787 |
transcript.whisperx[17].text |
那因為那會涉及到...那相關的檢討到現在有檢討到什麼出來嗎因為現在的部分要涉及到修正預修定型化契約的規定那你現在說的就是還沒修出來的嘛那風雲都出來了風雲都出來了風雲都出來了 要不然再加27%這件事都沒辦法做到啦 |
transcript.whisperx[18].start |
434.377 |
transcript.whisperx[18].end |
437.139 |
transcript.whisperx[18].text |
市長,我們有研究要怎麼改善,不是一組研究兩組研究,部隊也要研究,職員也要研究,不是這樣啦,我們發生事情,覺得沒有辦法保障社會這件事,我們就要過程處理啦 |
transcript.whisperx[19].start |
457.708 |
transcript.whisperx[19].end |
462.09 |
transcript.whisperx[19].text |
你現在這樣在那裡煩人了,發動的聲聲鼓鼓都說我們應該要關心民生啦,的事情啦大家記住了,記住了,市長,說實在,我身為在家裡的妻子的時候我看到這個來發生的時候,我相信我們為了不是在家裡的妻子而已 |
transcript.whisperx[20].start |
485.009 |
transcript.whisperx[20].end |
486.351 |
transcript.whisperx[20].text |
很多地方都有,結果沒辦法,必須沒辦法啦!市長,在這裡我也知道你還沒提出啦,我先跟你在這裡談到的時候,我問你多久可以提出? |
transcript.whisperx[21].start |
505.209 |
transcript.whisperx[21].end |
511.771 |
transcript.whisperx[21].text |
我們現在已經說了差不多了,存一些細節再去處理我老公啦!因為我三個月內,我們有一個方案三個月喔?只有三個月以來,如果發生什麼事情,他們就憑什麼不說我也是把自己的事做成這樣的案件,是不是會斷更快? |
transcript.whisperx[22].start |
526.195 |
transcript.whisperx[22].end |
541.264 |
transcript.whisperx[22].text |
那個委員報告一下嘉義市的部分我們先請嘉義市政府協助民眾看是不是從什麼相關的法律途徑先來合理是啦,如果可以改革開放的時候可以還是可以你們看我後面不會在這裡發這麼大的脾氣啦因為說實在找的問題都找了啦這是我們覺得說我們這個說話難聽的啦,正經的啦 |
transcript.whisperx[23].start |
555.196 |
transcript.whisperx[23].end |
570.165 |
transcript.whisperx[23].text |
一定要保護健康啦所以未來一定要保護賣家的人啦我們現在的風險就是保護消費者賣家的消費者市長你剛才說三公尾你還可以提早多久 |
transcript.whisperx[24].start |
580.171 |
transcript.whisperx[24].end |
586.395 |
transcript.whisperx[24].text |
有涉及到那個消費者其實我知道啦我才不知道它有涉及這很多的問題即使我不是在這裡要幫你挖螞蟻啦它說三個月、兩個月、一個月我們負責任外省就可以負責任幫助一些人買房子 |
transcript.whisperx[25].start |
600.083 |
transcript.whisperx[25].end |
606.608 |
transcript.whisperx[25].text |
當場賣的建築可以到三天補貨啦所以市長這件事要緊好不好好謝謝委員在這我要跟我們的部長跟他討論我們今天的建築法裡面有第73條第一項的規定就是說我們這間它的建築物 |
transcript.whisperx[26].start |
626.826 |
transcript.whisperx[26].end |
630.427 |
transcript.whisperx[26].text |
能夠申請這麼多錢,但是地方為了照顧他弱勢的家庭他要去違章,要去申請,但是他那麼弱勢他沒有水沒錢,說實在也可憐所以在這個過程當中,我們台北市長83年以上 |
transcript.whisperx[27].start |
655.145 |
transcript.whisperx[27].end |
658.347 |
transcript.whisperx[27].text |
從1992年以後,有的事都沒有在認可,結果在這個過程當中,我認為如果有特殊弱勢,我們本來就要到三天後,我們中央照顧這個弱勢,出多少錢,關心多少 |
transcript.whisperx[28].start |
681.38 |
transcript.whisperx[28].end |
687.705 |
transcript.whisperx[28].text |
但是也不可以亂北部啦像這個問題當中,我覺得我們要一視同仁我們不能做爛好人啦李署長,我先跟你講一下要如何去這個問題做好全台灣合併幫的條例,來 |
transcript.whisperx[29].start |
706.816 |
transcript.whisperx[29].end |
717.051 |
transcript.whisperx[29].text |
跟委員報告,其實當時這個母法的規定本來就會預留一個預留一個就是說有特殊條款啦也就是說,我們就很了解有一些稍微偏軟啦或是說有一些地方,它有可能這個 |
transcript.whisperx[30].start |
721.798 |
transcript.whisperx[30].end |
747.553 |
transcript.whisperx[30].text |
有一些透過一個傷害 尤其是骨瘤的處啦它如果經過地震或有傷害過 它如果要停職它總不可能說 我一個停職 我的處要停卡住 還要停下來我相信我們有很多的情形是 原來這個辦法就停不住所以我們原來在這個條文裡面就是希望說你地方政府如果確實有迫切民生需要的那這一些其實就會變成說 它是本來就可以除外條款 |
transcript.whisperx[31].start |
748.493 |
transcript.whisperx[31].end |
755.14 |
transcript.whisperx[31].text |
那所以就這個部分我們也是希望讓地方政府有自己的經過自己的需要啦因為每一間市的經營確實沒工所以這一點我們為什麼在...阿那阿那台北市給他通過他中間炒九檔是阿所以... 阿那他會在一個八成覺得比較倒霉 |
transcript.whisperx[32].start |
768.523 |
transcript.whisperx[32].end |
778.772 |
transcript.whisperx[32].text |
應該這樣說啦 因為我想在很多地方他也會有一些除外條款那除外條款當然地方政府會去一時之間請請去認啦不會說一定要強制去做因為我覺得我們中央的手法是要專門照顧全台灣的百姓尤其這條是照顧全台灣百姓若是 |
transcript.whisperx[33].start |
791.445 |
transcript.whisperx[33].end |
796.79 |
transcript.whisperx[33].text |
所以我們問問,如果照顧好,既然要修緩的時候,我們就要注意,不好好的變性是一個太過親切的條款啦,好不好 |
transcript.whisperx[34].start |
808.376 |
transcript.whisperx[34].end |
815.462 |
transcript.whisperx[34].text |
因為這件事你要特別注意因為我講這樣 應该署長你做得很久了我去台南來你了解我講的問題出一台因為我們股市有正經的我們股市有正經的部分太多了 |
transcript.whisperx[35].start |
825.111 |
transcript.whisperx[35].end |
828.214 |
transcript.whisperx[35].text |
他這時候都看民生都做得好我也不需要說當這個當這個說你有遇到任何傷害或什麼的時候你就要過整個課長庭來這始終...市長我會說這樣你要去相公的主委我們要修的選不要覺得說有問題 |
transcript.whisperx[36].start |
844.229 |
transcript.whisperx[36].end |
844.469 |
transcript.whisperx[36].text |
王美惠委員的質詢 |