IVOD_ID |
161826 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161826 |
日期 |
2025-05-22 |
會議資料.會議代碼 |
委員會-11-3-15-21 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第21次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
21 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第3會期內政委員會第21次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-22T11:31:16+08:00 |
結束時間 |
2025-05-22T11:44:23+08:00 |
影片長度 |
00:13:07 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1976c9e92d55c2f940fe79ed4fad065b018167f9c4d828f8672ba64a6a255857d43161210f0379b75ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鄭天財Sra Kacaw |
委員發言時間 |
11:31:16 - 11:44:23 |
會議時間 |
2025-05-22T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第21次全體委員會議(事由:一、邀請原住民族委員會主任委員率同所屬及財團法人原住民族文化事業基金會董事長與財團法人原住民族語言研究發展基金會董事長列席報告業務概況,並備質詢。二、處理114年度中央政府總預算案有關原住民族委員會及所屬預算解凍案。三、審查「原住民族基本法」修正草案等12案:(一)審查委員伍麗華Saidhai Tahovecahe等16人擬具「原住民族基本法增訂第二條之二條文草案」案。(二)審查委員伍麗華Saidhai Tahovecahe等17人擬具「原住民族基本法第二十一條條文修正草案」案。(三)審查委員高金素梅等21人擬具「原住民族基本法部分條文修正草案」案。(四)審查委員黃仁等30人擬具「原住民族基本法第十九條條文修正草案」案。(五)審查委員黃仁等26人擬具「原住民族基本法第十五條條文修正草案」案。(六)審查委員鄭天財Sra Kacaw等18人擬具「原住民族基本法增訂第六條之一條文草案」案。(七)審查委員黃仁等20人擬具「原住民族基本法增訂第二十八條之一條文草案」案。(八)審查委員黃仁等22人擬具「原住民族基本法第十條條文修正草案」案。(九)審查委員黃仁等21人擬具「原住民族基本法第六條條文修正草案」案。(十)審查委員高金素梅等20人擬具「原住民族基本法第十八條條文修正草案」案。(十一)審查委員鄭天財Sra Kacaw等17人擬具「原住民族基本法第十八條條文修正草案」案。(十二)審查委員盧縣一等18人擬具「原住民族基本法部分條文修正草案」案。【第一案至第三案合併詢答;第三案僅詢答,另定期處理】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
17.07471875 |
transcript.pyannote[0].end |
20.36534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
21.49596875 |
transcript.pyannote[1].end |
22.72784375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
22.87971875 |
transcript.pyannote[2].end |
27.28409375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
28.11096875 |
transcript.pyannote[3].end |
31.03034375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
31.60409375 |
transcript.pyannote[4].end |
33.34221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
34.52346875 |
transcript.pyannote[5].end |
38.11784375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
38.89409375 |
transcript.pyannote[6].end |
42.45471875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
43.68659375 |
transcript.pyannote[7].end |
44.61471875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
45.42471875 |
transcript.pyannote[8].end |
46.75784375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
47.53409375 |
transcript.pyannote[9].end |
50.97659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
51.63471875 |
transcript.pyannote[10].end |
53.98034375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
54.75659375 |
transcript.pyannote[11].end |
56.00534375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
56.98409375 |
transcript.pyannote[12].end |
57.50721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
58.13159375 |
transcript.pyannote[13].end |
59.73471875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
60.44346875 |
transcript.pyannote[14].end |
62.53596875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
63.44721875 |
transcript.pyannote[15].end |
66.29909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.76721875 |
transcript.pyannote[16].end |
70.93971875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
71.66534375 |
transcript.pyannote[17].end |
75.15846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
75.54659375 |
transcript.pyannote[18].end |
76.62659375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
76.96409375 |
transcript.pyannote[19].end |
77.58846875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
78.98909375 |
transcript.pyannote[20].end |
80.82846875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
81.16596875 |
transcript.pyannote[21].end |
82.12784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
82.66784375 |
transcript.pyannote[22].end |
83.66346875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
84.13596875 |
transcript.pyannote[23].end |
84.55784375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
86.09346875 |
transcript.pyannote[24].end |
87.49409375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
88.33784375 |
transcript.pyannote[25].end |
89.16471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
90.48096875 |
transcript.pyannote[26].end |
91.32471875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
91.45971875 |
transcript.pyannote[27].end |
92.32034375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
93.14721875 |
transcript.pyannote[28].end |
97.72034375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
98.24346875 |
transcript.pyannote[29].end |
101.88846875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
101.97284375 |
transcript.pyannote[30].end |
104.43659375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
104.70659375 |
transcript.pyannote[31].end |
105.04409375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
105.34784375 |
transcript.pyannote[32].end |
107.64284375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
108.13221875 |
transcript.pyannote[33].end |
108.43596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
109.14471875 |
transcript.pyannote[34].end |
109.39784375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
111.22034375 |
transcript.pyannote[35].end |
114.78096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
115.81034375 |
transcript.pyannote[36].end |
117.24471875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
118.07159375 |
transcript.pyannote[37].end |
119.05034375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
123.04971875 |
transcript.pyannote[38].end |
124.65284375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
126.32346875 |
transcript.pyannote[39].end |
133.25909375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
134.72721875 |
transcript.pyannote[40].end |
136.02659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
136.02659375 |
transcript.pyannote[41].end |
139.46909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
139.63784375 |
transcript.pyannote[42].end |
140.00909375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
140.93721875 |
transcript.pyannote[43].end |
145.45971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
146.11784375 |
transcript.pyannote[44].end |
147.72096875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
148.41284375 |
transcript.pyannote[45].end |
149.37471875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
149.89784375 |
transcript.pyannote[46].end |
156.20909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
156.47909375 |
transcript.pyannote[47].end |
158.45346875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
158.52096875 |
transcript.pyannote[48].end |
160.14096875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
160.64721875 |
transcript.pyannote[49].end |
163.02659375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
164.19096875 |
transcript.pyannote[50].end |
165.70971875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
166.18221875 |
transcript.pyannote[51].end |
167.93721875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
168.27471875 |
transcript.pyannote[52].end |
169.27034375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
170.40096875 |
transcript.pyannote[53].end |
172.22346875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
172.62846875 |
transcript.pyannote[54].end |
173.77596875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
174.68721875 |
transcript.pyannote[55].end |
178.72034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
179.80034375 |
transcript.pyannote[56].end |
180.64409375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
182.01096875 |
transcript.pyannote[57].end |
183.31034375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
183.85034375 |
transcript.pyannote[58].end |
187.42784375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
187.83284375 |
transcript.pyannote[59].end |
189.92534375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
190.75221875 |
transcript.pyannote[60].end |
193.03034375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
194.51534375 |
transcript.pyannote[61].end |
198.66659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
199.83096875 |
transcript.pyannote[62].end |
204.65721875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
205.83846875 |
transcript.pyannote[63].end |
206.39534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
206.86784375 |
transcript.pyannote[64].end |
209.14596875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
209.71971875 |
transcript.pyannote[65].end |
210.19221875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
211.12034375 |
transcript.pyannote[66].end |
212.08221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
212.57159375 |
transcript.pyannote[67].end |
215.27159375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
215.40659375 |
transcript.pyannote[68].end |
216.28409375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
218.08971875 |
transcript.pyannote[69].end |
218.84909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
219.13596875 |
transcript.pyannote[70].end |
220.43534375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
220.87409375 |
transcript.pyannote[71].end |
223.54034375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
224.29971875 |
transcript.pyannote[72].end |
225.93659375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
226.25721875 |
transcript.pyannote[73].end |
226.89846875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
227.91096875 |
transcript.pyannote[74].end |
230.25659375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
230.40846875 |
transcript.pyannote[75].end |
232.26471875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
233.71596875 |
transcript.pyannote[76].end |
236.02784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
236.55096875 |
transcript.pyannote[77].end |
237.79971875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
238.86284375 |
transcript.pyannote[78].end |
243.77346875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
245.29221875 |
transcript.pyannote[79].end |
246.30471875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
246.87846875 |
transcript.pyannote[80].end |
247.51971875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
247.85721875 |
transcript.pyannote[81].end |
248.17784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
248.48159375 |
transcript.pyannote[82].end |
252.14346875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
252.63284375 |
transcript.pyannote[83].end |
254.10096875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
255.18096875 |
transcript.pyannote[84].end |
257.88096875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
258.18471875 |
transcript.pyannote[85].end |
260.02409375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
260.78346875 |
transcript.pyannote[86].end |
261.35721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
262.47096875 |
transcript.pyannote[87].end |
263.50034375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
263.98971875 |
transcript.pyannote[88].end |
264.91784375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
265.49159375 |
transcript.pyannote[89].end |
265.87971875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
266.25096875 |
transcript.pyannote[90].end |
267.12846875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
267.19596875 |
transcript.pyannote[91].end |
269.22096875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
271.12784375 |
transcript.pyannote[92].end |
274.85721875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
275.21159375 |
transcript.pyannote[93].end |
279.09284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
280.52721875 |
transcript.pyannote[94].end |
281.33721875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
282.31596875 |
transcript.pyannote[95].end |
283.29471875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
284.45909375 |
transcript.pyannote[96].end |
286.46721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
286.80471875 |
transcript.pyannote[97].end |
288.45846875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
289.84221875 |
transcript.pyannote[98].end |
290.77034375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
291.69846875 |
transcript.pyannote[99].end |
296.45721875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
296.59221875 |
transcript.pyannote[100].end |
298.65096875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
299.71409375 |
transcript.pyannote[101].end |
302.70096875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
303.12284375 |
transcript.pyannote[102].end |
305.33346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
306.34596875 |
transcript.pyannote[103].end |
311.29034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
311.77971875 |
transcript.pyannote[104].end |
312.57284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
313.01159375 |
transcript.pyannote[105].end |
314.85096875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
315.81284375 |
transcript.pyannote[106].end |
321.97221875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
323.49096875 |
transcript.pyannote[107].end |
324.94221875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
326.24159375 |
transcript.pyannote[108].end |
327.82784375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
328.97534375 |
transcript.pyannote[109].end |
330.34221875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
332.06346875 |
transcript.pyannote[110].end |
334.59471875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
334.98284375 |
transcript.pyannote[111].end |
338.64471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
339.62346875 |
transcript.pyannote[112].end |
340.48409375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
342.03659375 |
transcript.pyannote[113].end |
343.03221875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
343.89284375 |
transcript.pyannote[114].end |
345.76596875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
346.60971875 |
transcript.pyannote[115].end |
348.53346875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
349.27596875 |
transcript.pyannote[116].end |
351.13221875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
351.97596875 |
transcript.pyannote[117].end |
352.51596875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
356.05971875 |
transcript.pyannote[118].end |
356.90346875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
357.79784375 |
transcript.pyannote[119].end |
361.74659375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
360.48096875 |
transcript.pyannote[120].end |
362.03346875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
362.21909375 |
transcript.pyannote[121].end |
364.91909375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
365.74596875 |
transcript.pyannote[122].end |
368.98596875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
370.15034375 |
transcript.pyannote[123].end |
372.76596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
375.12846875 |
transcript.pyannote[124].end |
375.71909375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
376.54596875 |
transcript.pyannote[125].end |
378.58784375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
378.94221875 |
transcript.pyannote[126].end |
379.27971875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
379.71846875 |
transcript.pyannote[127].end |
382.16534375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
383.04284375 |
transcript.pyannote[128].end |
383.58284375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
383.92034375 |
transcript.pyannote[129].end |
385.23659375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
385.86096875 |
transcript.pyannote[130].end |
386.90721875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
387.68346875 |
transcript.pyannote[131].end |
388.71284375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
389.35409375 |
transcript.pyannote[132].end |
390.50159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
391.09221875 |
transcript.pyannote[133].end |
392.59409375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
392.79659375 |
transcript.pyannote[134].end |
395.05784375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
395.36159375 |
transcript.pyannote[135].end |
396.35721875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
397.94346875 |
transcript.pyannote[136].end |
400.57596875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
401.75721875 |
transcript.pyannote[137].end |
405.90846875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
405.97596875 |
transcript.pyannote[138].end |
406.02659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
406.17846875 |
transcript.pyannote[139].end |
409.58721875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
411.61221875 |
transcript.pyannote[140].end |
412.05096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
412.50659375 |
transcript.pyannote[141].end |
417.26534375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
417.48471875 |
transcript.pyannote[142].end |
422.31096875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
422.64846875 |
transcript.pyannote[143].end |
425.48346875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
427.17096875 |
transcript.pyannote[144].end |
427.62659375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
427.99784375 |
transcript.pyannote[145].end |
430.22534375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
430.79909375 |
transcript.pyannote[146].end |
432.70596875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
434.57909375 |
transcript.pyannote[147].end |
438.00471875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
438.78096875 |
transcript.pyannote[148].end |
439.91159375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
440.58659375 |
transcript.pyannote[149].end |
449.19284375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
449.59784375 |
transcript.pyannote[150].end |
450.72846875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
451.36971875 |
transcript.pyannote[151].end |
452.83784375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
453.44534375 |
transcript.pyannote[152].end |
456.97221875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
457.41096875 |
transcript.pyannote[153].end |
459.28409375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
459.48659375 |
transcript.pyannote[154].end |
460.54971875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
461.07284375 |
transcript.pyannote[155].end |
462.97971875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
463.19909375 |
transcript.pyannote[156].end |
464.48159375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
464.75159375 |
transcript.pyannote[157].end |
465.98346875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
467.02971875 |
transcript.pyannote[158].end |
469.66221875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
469.96596875 |
transcript.pyannote[159].end |
471.50159375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
472.21034375 |
transcript.pyannote[160].end |
473.02034375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
473.74596875 |
transcript.pyannote[161].end |
474.26909375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
475.07909375 |
transcript.pyannote[162].end |
477.03659375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
477.59346875 |
transcript.pyannote[163].end |
478.85909375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
480.52971875 |
transcript.pyannote[164].end |
482.72346875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
484.39409375 |
transcript.pyannote[165].end |
487.58346875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
488.17409375 |
transcript.pyannote[166].end |
491.14409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
491.73471875 |
transcript.pyannote[167].end |
493.97909375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
494.38409375 |
transcript.pyannote[168].end |
495.27846875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
496.05471875 |
transcript.pyannote[169].end |
498.90659375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
500.81346875 |
transcript.pyannote[170].end |
501.26909375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
501.52221875 |
transcript.pyannote[171].end |
501.89346875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
502.16346875 |
transcript.pyannote[172].end |
503.64846875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
504.50909375 |
transcript.pyannote[173].end |
506.78721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
507.27659375 |
transcript.pyannote[174].end |
507.90096875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
508.62659375 |
transcript.pyannote[175].end |
509.67284375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
509.21721875 |
transcript.pyannote[176].end |
510.73596875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
511.12409375 |
transcript.pyannote[177].end |
512.35596875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
512.87909375 |
transcript.pyannote[178].end |
513.50346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
514.17846875 |
transcript.pyannote[179].end |
517.03034375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
517.55346875 |
transcript.pyannote[180].end |
520.47284375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
521.01284375 |
transcript.pyannote[181].end |
521.36721875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
521.68784375 |
transcript.pyannote[182].end |
522.78471875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
524.69159375 |
transcript.pyannote[183].end |
526.09221875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
526.81784375 |
transcript.pyannote[184].end |
531.32346875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
532.47096875 |
transcript.pyannote[185].end |
533.48346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
533.83784375 |
transcript.pyannote[186].end |
535.87971875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
536.48721875 |
transcript.pyannote[187].end |
537.63471875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
538.29284375 |
transcript.pyannote[188].end |
539.03534375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
539.79471875 |
transcript.pyannote[189].end |
540.18284375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
540.36846875 |
transcript.pyannote[190].end |
542.89971875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
543.79409375 |
transcript.pyannote[191].end |
544.36784375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
545.05971875 |
transcript.pyannote[192].end |
545.34659375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
546.05534375 |
transcript.pyannote[193].end |
546.93284375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
547.00034375 |
transcript.pyannote[194].end |
547.03409375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
547.72596875 |
transcript.pyannote[195].end |
547.75971875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
547.84409375 |
transcript.pyannote[196].end |
549.16034375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
549.16034375 |
transcript.pyannote[197].end |
549.32909375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
549.32909375 |
transcript.pyannote[198].end |
550.29096875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
549.43034375 |
transcript.pyannote[199].end |
549.54846875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
550.57784375 |
transcript.pyannote[200].end |
551.43846875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
551.43846875 |
transcript.pyannote[201].end |
552.33284375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
552.33284375 |
transcript.pyannote[202].end |
552.53534375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
552.99096875 |
transcript.pyannote[203].end |
553.21034375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
553.21034375 |
transcript.pyannote[204].end |
553.27784375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
553.27784375 |
transcript.pyannote[205].end |
553.49721875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
553.49721875 |
transcript.pyannote[206].end |
553.54784375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
554.08784375 |
transcript.pyannote[207].end |
556.75409375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
557.42909375 |
transcript.pyannote[208].end |
558.49221875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
559.87596875 |
transcript.pyannote[209].end |
564.66846875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
564.93846875 |
transcript.pyannote[210].end |
565.52909375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
565.69784375 |
transcript.pyannote[211].end |
566.65971875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
567.62159375 |
transcript.pyannote[212].end |
570.03471875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
572.19471875 |
transcript.pyannote[213].end |
574.42221875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
575.19846875 |
transcript.pyannote[214].end |
579.56909375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
578.99534375 |
transcript.pyannote[215].end |
580.71659375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
581.49284375 |
transcript.pyannote[216].end |
582.50534375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
583.04534375 |
transcript.pyannote[217].end |
584.07471875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
584.47971875 |
transcript.pyannote[218].end |
585.12096875 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
585.55971875 |
transcript.pyannote[219].end |
587.51721875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
588.31034375 |
transcript.pyannote[220].end |
591.33096875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
591.92159375 |
transcript.pyannote[221].end |
597.43971875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
597.55784375 |
transcript.pyannote[222].end |
600.52784375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
600.93284375 |
transcript.pyannote[223].end |
602.06346875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
602.35034375 |
transcript.pyannote[224].end |
610.02846875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
609.18471875 |
transcript.pyannote[225].end |
609.97784375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
610.02846875 |
transcript.pyannote[226].end |
610.34909375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
610.34909375 |
transcript.pyannote[227].end |
614.34846875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
610.41659375 |
transcript.pyannote[228].end |
611.36159375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
615.12471875 |
transcript.pyannote[229].end |
615.49596875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
616.55909375 |
transcript.pyannote[230].end |
621.04784375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
621.50346875 |
transcript.pyannote[231].end |
624.77721875 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
625.21596875 |
transcript.pyannote[232].end |
628.05096875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
625.50284375 |
transcript.pyannote[233].end |
625.67159375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
628.69221875 |
transcript.pyannote[234].end |
628.99596875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
629.83971875 |
transcript.pyannote[235].end |
630.27846875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
631.18971875 |
transcript.pyannote[236].end |
632.82659375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
633.36659375 |
transcript.pyannote[237].end |
635.07096875 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
635.76284375 |
transcript.pyannote[238].end |
636.31971875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
637.21409375 |
transcript.pyannote[239].end |
638.68221875 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
639.91409375 |
transcript.pyannote[240].end |
644.01471875 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
645.14534375 |
transcript.pyannote[241].end |
648.31784375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
649.46534375 |
transcript.pyannote[242].end |
654.40971875 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
654.79784375 |
transcript.pyannote[243].end |
655.16909375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
655.86096875 |
transcript.pyannote[244].end |
656.29971875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
657.54846875 |
transcript.pyannote[245].end |
659.20221875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
660.65346875 |
transcript.pyannote[246].end |
663.80909375 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
664.24784375 |
transcript.pyannote[247].end |
664.87221875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
665.34471875 |
transcript.pyannote[248].end |
667.97721875 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
669.05721875 |
transcript.pyannote[249].end |
670.96409375 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
672.14534375 |
transcript.pyannote[250].end |
673.61346875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
674.87909375 |
transcript.pyannote[251].end |
676.00971875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
676.71846875 |
transcript.pyannote[252].end |
679.68846875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
680.22846875 |
transcript.pyannote[253].end |
680.56596875 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
681.20721875 |
transcript.pyannote[254].end |
681.66284375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
682.11846875 |
transcript.pyannote[255].end |
683.24909375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
683.45159375 |
transcript.pyannote[256].end |
685.51034375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
686.35409375 |
transcript.pyannote[257].end |
687.21471875 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
687.95721875 |
transcript.pyannote[258].end |
689.69534375 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
690.47159375 |
transcript.pyannote[259].end |
691.31534375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
692.81721875 |
transcript.pyannote[260].end |
693.17159375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
694.06596875 |
transcript.pyannote[261].end |
695.60159375 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
696.93471875 |
transcript.pyannote[262].end |
696.95159375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
696.95159375 |
transcript.pyannote[263].end |
706.51971875 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
706.51971875 |
transcript.pyannote[264].end |
708.86534375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
709.65846875 |
transcript.pyannote[265].end |
711.59909375 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
712.02096875 |
transcript.pyannote[266].end |
713.94471875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
713.94471875 |
transcript.pyannote[267].end |
721.57221875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
714.28221875 |
transcript.pyannote[268].end |
714.65346875 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
718.14659375 |
transcript.pyannote[269].end |
720.40784375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
720.77909375 |
transcript.pyannote[270].end |
722.85471875 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
723.12471875 |
transcript.pyannote[271].end |
726.19596875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
723.15846875 |
transcript.pyannote[272].end |
724.98096875 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
727.39409375 |
transcript.pyannote[273].end |
728.67659375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
729.18284375 |
transcript.pyannote[274].end |
733.87409375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
733.87409375 |
transcript.pyannote[275].end |
739.17284375 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
734.38034375 |
transcript.pyannote[276].end |
738.64971875 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
739.69596875 |
transcript.pyannote[277].end |
745.24784375 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
740.01659375 |
transcript.pyannote[278].end |
740.03346875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
740.03346875 |
transcript.pyannote[279].end |
740.80971875 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
741.99096875 |
transcript.pyannote[280].end |
742.80096875 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
742.80096875 |
transcript.pyannote[281].end |
742.83471875 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
745.95659375 |
transcript.pyannote[282].end |
746.00721875 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
746.00721875 |
transcript.pyannote[283].end |
746.02409375 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
746.02409375 |
transcript.pyannote[284].end |
746.15909375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
746.15909375 |
transcript.pyannote[285].end |
746.34471875 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
746.34471875 |
transcript.pyannote[286].end |
746.36159375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
746.36159375 |
transcript.pyannote[287].end |
746.37846875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
747.39096875 |
transcript.pyannote[288].end |
747.88034375 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
748.94346875 |
transcript.pyannote[289].end |
751.40721875 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
752.65596875 |
transcript.pyannote[290].end |
754.14096875 |
transcript.pyannote[291].speaker |
SPEAKER_00 |
transcript.pyannote[291].start |
755.28846875 |
transcript.pyannote[291].end |
756.99284375 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
757.56659375 |
transcript.pyannote[292].end |
758.73096875 |
transcript.pyannote[293].speaker |
SPEAKER_00 |
transcript.pyannote[293].start |
759.91221875 |
transcript.pyannote[293].end |
760.68846875 |
transcript.pyannote[294].speaker |
SPEAKER_00 |
transcript.pyannote[294].start |
760.77284375 |
transcript.pyannote[294].end |
763.60784375 |
transcript.pyannote[295].speaker |
SPEAKER_00 |
transcript.pyannote[295].start |
764.58659375 |
transcript.pyannote[295].end |
765.02534375 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
765.66659375 |
transcript.pyannote[296].end |
765.88596875 |
transcript.pyannote[297].speaker |
SPEAKER_00 |
transcript.pyannote[297].start |
766.54409375 |
transcript.pyannote[297].end |
767.59034375 |
transcript.pyannote[298].speaker |
SPEAKER_00 |
transcript.pyannote[298].start |
768.60284375 |
transcript.pyannote[298].end |
769.41284375 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
770.62784375 |
transcript.pyannote[299].end |
772.29846875 |
transcript.pyannote[300].speaker |
SPEAKER_00 |
transcript.pyannote[300].start |
773.22659375 |
transcript.pyannote[300].end |
774.61034375 |
transcript.pyannote[301].speaker |
SPEAKER_00 |
transcript.pyannote[301].start |
775.08284375 |
transcript.pyannote[301].end |
777.15846875 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
777.52971875 |
transcript.pyannote[302].end |
780.01034375 |
transcript.pyannote[303].speaker |
SPEAKER_00 |
transcript.pyannote[303].start |
780.66846875 |
transcript.pyannote[303].end |
782.84534375 |
transcript.pyannote[304].speaker |
SPEAKER_02 |
transcript.pyannote[304].start |
782.47409375 |
transcript.pyannote[304].end |
782.81159375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
782.84534375 |
transcript.pyannote[305].end |
783.14909375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
782.87909375 |
transcript.pyannote[306].end |
782.89596875 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
782.96346875 |
transcript.pyannote[307].end |
783.13221875 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
783.14909375 |
transcript.pyannote[308].end |
784.17846875 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
785.47784375 |
transcript.pyannote[309].end |
785.49471875 |
transcript.pyannote[310].speaker |
SPEAKER_00 |
transcript.pyannote[310].start |
785.59596875 |
transcript.pyannote[310].end |
785.96721875 |
transcript.pyannote[311].speaker |
SPEAKER_01 |
transcript.pyannote[311].start |
785.96721875 |
transcript.pyannote[311].end |
786.96284375 |
transcript.whisperx[0].start |
17.313 |
transcript.whisperx[0].end |
46.03 |
transcript.whisperx[0].text |
主席 各位委員 曾助委好這個今天有這個業務報告還有這個解凍案 還有法案在今天你的業務報告裡面特別提到原住民組織法標題喔 標題是原住民組織法然後還要研擬原住民組織法草案早就有了原住民組織法 |
transcript.whisperx[1].start |
47.608 |
transcript.whisperx[1].end |
70.636 |
transcript.whisperx[1].text |
我在當企劃處處長的時候就朝你了我當副主委的時候就完成了還嚴你什麼呢然後無論是陳水扁總統或是尤其是馬英九總統都有送原住民組織法到立法院只不過是送來的時候太晚了沒有完成 |
transcript.whisperx[2].start |
71.724 |
transcript.whisperx[2].end |
97.443 |
transcript.whisperx[2].text |
所以又退回去,借其不聯繫所以都有了現在還在研擬這個真的是一個我們接下來就不用回答了但是要欠珍珠園不要像某人連送草案到行政院都沒有最起碼要送行政院 |
transcript.whisperx[3].start |
98.831 |
transcript.whisperx[3].end |
116.322 |
transcript.whisperx[3].text |
不要把責任全部扛在自己身上他很偉大的責任當初原住民族自治的一個這裡面大家都在關心部落公法人的事辦請問一下這個經費要從哪裡支應 |
transcript.whisperx[4].start |
123.109 |
transcript.whisperx[4].end |
149.129 |
transcript.whisperx[4].text |
我們從這個綜合綜合規劃發展這個經費還有從這個綜合發展基金來支出這個經費這個經費你們的預算自用說明裡面沒有這些預算自用說明沒有這些所以你們是挪用好我們接下來我們接下來看 |
transcript.whisperx[5].start |
150.058 |
transcript.whisperx[5].end |
178.711 |
transcript.whisperx[5].text |
原住民族基本法第四條剛講了要制定這個原住民族自治法趕快定趕快送已經早就有草案了很重要的今天談部落公法人這是本席所提案的然後立法院三讀通過部落公法人延期法第二條之一寫得很清楚部落經中央原住民族主管機關核定者為公法人 |
transcript.whisperx[6].start |
179.864 |
transcript.whisperx[6].end |
208.969 |
transcript.whisperx[6].text |
所以要先要一 第二項要訂這個部落公法人的設置辦法這是授權 延民會自己訂喔法例授權 中央延民會自己訂所以公佈施行之後 104年12月16號馬英九公佈施行林江一主委很快的在105年5月3號卸任之前喔訂了部落公法人設置辦法 |
transcript.whisperx[7].start |
209.775 |
transcript.whisperx[7].end |
237.65 |
transcript.whisperx[7].text |
然後你們也預告了105年5月3號林江一主委做了預告蔡總統就任預告之後沒有幾天蔡總統就任然後8月1號蔡總統承諾部落公法人的制度已經推動上路大家都非常高興有了法律又有草案了 |
transcript.whisperx[8].start |
238.905 |
transcript.whisperx[8].end |
260.905 |
transcript.whisperx[8].text |
然後一將主委在106年10月27號也做了預告做了一些修正做了一個廣泛的徵詢意見之後就預告囉都預告了現在還事辦什麼呢對不對還事辦什麼呢都有啊都有草案啊趕快發布才對啊因為 |
transcript.whisperx[9].start |
262.503 |
transcript.whisperx[9].end |
290.585 |
transcript.whisperx[9].text |
你說事辦 你也要先依當初的依原計法第二條之一發佈這個部落公法人的設置辦法如果你想事辦 你可以在這個辦法裡面加一條先事辦你可以加一條事辦的公法人才可以成為公法人啊 |
transcript.whisperx[10].start |
291.738 |
transcript.whisperx[10].end |
314.569 |
transcript.whisperx[10].text |
你是一個公法人的部落你事辦才有一個成效到底是怎麼樣啊你才有部落公法人的前者前者跟前例跟義務才能夠才才真正的才能夠達到事辦的效果不然的話沒有部落公法人 |
transcript.whisperx[11].start |
315.851 |
transcript.whisperx[11].end |
342.854 |
transcript.whisperx[11].text |
你這個沒有辦法 你就沒有法規依據嘛你用那個事辦計畫他就不是公法人啊沒有公法人的地位沒有這個潛力義務你怎麼事辦 淪為空談嘛就是原來那是部落嘛你還是現在的部落沒有地位你事辦什麼呢 |
transcript.whisperx[12].start |
343.959 |
transcript.whisperx[12].end |
372.612 |
transcript.whisperx[12].text |
你沒有譴責啊 你怎麼事辦所以還是要趕快發布部落公法人設置辦法啊 主委趕快發布我們會就是說謝謝委員這個指教啦要勇敢的跟這個主委講過去我當企劃處處長也是很勇敢的跟主委講啊對不對 我當副主委的時候也是很勇敢的 |
transcript.whisperx[13].start |
375.148 |
transcript.whisperx[13].end |
400.125 |
transcript.whisperx[13].text |
不要怕就送上去就不用送啊我說那個亞波蘇洋送成何然後主委就把它發布不用送行政院呢授權給你呢這麼大譴責中華民國的法律給你這麼大的譴責又不敢奇怪了所以這個部分好我們接下來 |
transcript.whisperx[14].start |
401.866 |
transcript.whisperx[14].end |
430.098 |
transcript.whisperx[14].text |
所以當初因為有這樣的提案所以等一下我們預算提案解凍案的時候我們可以繼續討論好接下來這個禁法補償當初我提要追加預算而且還要求你1月31號以前要送到主計總處這個是考慮到立法院的會期啊那個曾主委立法院的會期啊 |
transcript.whisperx[15].start |
430.868 |
transcript.whisperx[15].end |
448.912 |
transcript.whisperx[15].text |
到這個月5月31號6月開始是休會還好我們上禮拜前幾天表決通過要延會到7月31號所以還有機會進法補償的追加預算的審查 |
transcript.whisperx[16].start |
449.83 |
transcript.whisperx[16].end |
478.322 |
transcript.whisperx[16].text |
那趕快送來在你的報告裡面提到你已經比我的比我的立法院所通過的結議預算案的解通案的結議慢了兩個月你是3月10號3月10號送到行政院你每天啊或是每個禮拜碰到行政院主席長還有這個院長跟他報告的這個急迫性啊不能9月怎麼發放 |
transcript.whisperx[17].start |
480.575 |
transcript.whisperx[17].end |
507.726 |
transcript.whisperx[17].text |
你7月30還要我們有研會啊不然的話你9月10月是立法院的總質詢的時間不會處理那個議案啊所以抓住這個時間趕快要求每個禮拜就跟那個主計長講可以嗎可以每個禮拜就跟他講不要一直躺在他的桌上他有退回嗎有沒有退回 |
transcript.whisperx[18].start |
508.649 |
transcript.whisperx[18].end |
537.474 |
transcript.whisperx[18].text |
還沒有退回沒有退回嘛對嘛沒有退回就要趕快這個是你要跟他講卓榮泰院長所承諾的啊對不對最佳預算是卓榮泰院長所承諾的嘛最後一個題目齁這個住宅啊原住民的專屬的社會住宅過去沒有住宅法的時候你看基隆1億當時啊81年啊1億多原住民的國宅啊 |
transcript.whisperx[19].start |
538.342 |
transcript.whisperx[19].end |
566.463 |
transcript.whisperx[19].text |
然後你看這個新店的中正原住民住宅兩億多的經費然後這個新三峽的兩億多的住宅然後汐止花東新村四億多這個是最快的邊公寓上直接買那個民間的集合式住宅這個是直接買喔 |
transcript.whisperx[20].start |
567.677 |
transcript.whisperx[20].end |
587.129 |
transcript.whisperx[20].text |
直接買民間的集合式住宅法那時候是沒有住宅法現在啊各位報告剛剛你講這個都是為了安置災民所做的一些一樣的做法一樣的做法我們看住宅法你先看住宅法第二條第四項 |
transcript.whisperx[21].start |
588.342 |
transcript.whisperx[21].end |
611.276 |
transcript.whisperx[21].text |
目的事業主管機關就是指中央人民會為了原住民主的教育語言文化的傳承發展需要要興建專攻原住民成都的社會住宅這個是法例105年等一下105年12月23號所明訂的原住民的現在都會期人口已經達到51.57%了你看 |
transcript.whisperx[22].start |
617.461 |
transcript.whisperx[22].end |
643.578 |
transcript.whisperx[22].text |
新北市台北市桃園市台中市原住民的自有住宅的比例這麼的低所以要新建或是買作為原住民的專攻的社會住宅這個是有法律的依據啊處長他想要說什麼目的事業主管機關是地方政府錯了 |
transcript.whisperx[23].start |
645.202 |
transcript.whisperx[23].end |
670.601 |
transcript.whisperx[23].text |
住宅法第二條寫得很清楚地方政府是什麼是主管機關啊他不是目的主委主管機關所以是延命會的責任這個我曾經執行國發會啊國發會說我執行國發會說要給你們機會修你們原住民的住宅四年計劃原住民族住宅四年計劃國發會說可以 |
transcript.whisperx[24].start |
675.632 |
transcript.whisperx[24].end |
694.119 |
transcript.whisperx[24].text |
國發會說可以他我質詢完之後馬上就發文給言明會啊主委3月21號我把國發會的承諾說要趕快他還說要看要快不然會來不及處長這個計劃說成何了沒有 |
transcript.whisperx[25].start |
697.08 |
transcript.whisperx[25].end |
725.897 |
transcript.whisperx[25].text |
包委員喔 社會住宅目前都是用融資來興建那因為目前地方政府提出的都是要中央全額補助所以我們沒有辦法 有沒有全額補助是另外可以談的至少你又有錢啦你連一塊錢都沒有融資平台本來就是用融資本來就金財源就會沒有問題那現在地方呢都是要求全額補助 其實中央沒有辦法國發會都同意這不是國發會說了就算 國發會都同意 |
transcript.whisperx[26].start |
727.995 |
transcript.whisperx[26].end |
753.982 |
transcript.whisperx[26].text |
針對在這個你們的四年計劃裡面原住民族住宅四年計劃現在整個地方就有新建住宅經費總共是72億總共是72億其實中央是沒有辦法全部都是應該用自廠性的方式來去做處理處長 曾主委我早上還質詢了國發會主委早上喔 今天早上喔 |
transcript.whisperx[27].start |
755.285 |
transcript.whisperx[27].end |
783.443 |
transcript.whisperx[27].text |
他說沒有問題可以趕快請嚴明會送來所以這個部分是一個非常非常重要最後最後剩下十秒鐘嚴明會委託政治大學已經完成的台灣原住民族正名運動政府體制文獻史料會篇主委就趕快印好不好好謝謝 |
transcript.whisperx[28].start |
785.499 |
transcript.whisperx[28].end |
785.763 |
transcript.whisperx[28].text |
謝謝 鄭天才委員 |