| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/402373dbe145685b5abccc4ad7deca4d982770301154c67d0c31a177377941b7d3c8be10e344e7af5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鄭天財Sra Kacaw |
| 委員發言時間 |
10:29:51 - 10:41:10 |
| 影片長度 |
679 |
| 會議時間 |
2024-10-24T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第2會期經濟委員會第8次全體委員會議（事由：一、邀請國家發展委員會主任委員、衛生福利部首長、教育部首長、勞動部首長就「我國少子女化現況及對策計畫成效，暨我國與亞鄰國家之留才攬才政策競爭力比較」進行報告，並備質詢。
二、邀請國家發展委員會主任委員、行政院人事行政總處首長就「我國少子女化對策主管單位與主要國家做法之比較，暨我國參採改制之可行性」進行報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
2.12346875 |
| transcript.pyannote[1].end |
2.27534375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
15.01596875 |
| transcript.pyannote[2].end |
15.80909375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
15.91034375 |
| transcript.pyannote[3].end |
17.54721875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
18.18846875 |
| transcript.pyannote[4].end |
18.99846875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
19.43721875 |
| transcript.pyannote[5].end |
20.48346875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
20.75346875 |
| transcript.pyannote[6].end |
23.13284375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
23.99346875 |
| transcript.pyannote[7].end |
25.51221875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
26.81159375 |
| transcript.pyannote[8].end |
29.20784375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
31.18221875 |
| transcript.pyannote[9].end |
32.27909375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
33.15659375 |
| transcript.pyannote[10].end |
36.34596875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
37.37534375 |
| transcript.pyannote[11].end |
37.98284375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
39.09659375 |
| transcript.pyannote[12].end |
39.78846875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
40.42971875 |
| transcript.pyannote[13].end |
41.52659375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
41.71221875 |
| transcript.pyannote[14].end |
43.12971875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
43.60221875 |
| transcript.pyannote[15].end |
44.15909375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
45.07034375 |
| transcript.pyannote[16].end |
46.85909375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
47.48346875 |
| transcript.pyannote[17].end |
47.88846875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
49.06971875 |
| transcript.pyannote[18].end |
51.58409375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
52.54596875 |
| transcript.pyannote[19].end |
59.12721875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
60.03846875 |
| transcript.pyannote[20].end |
61.92846875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
63.26159375 |
| transcript.pyannote[21].end |
63.95346875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
64.17284375 |
| transcript.pyannote[22].end |
65.70846875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
66.63659375 |
| transcript.pyannote[23].end |
67.34534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
67.88534375 |
| transcript.pyannote[24].end |
69.64034375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
70.56846875 |
| transcript.pyannote[25].end |
72.69471875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
74.02784375 |
| transcript.pyannote[26].end |
74.53409375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
75.12471875 |
| transcript.pyannote[27].end |
75.37784375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
76.28909375 |
| transcript.pyannote[28].end |
76.98096875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
78.36471875 |
| transcript.pyannote[29].end |
79.00596875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
79.47846875 |
| transcript.pyannote[30].end |
80.69346875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
81.46971875 |
| transcript.pyannote[31].end |
83.12346875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
83.96721875 |
| transcript.pyannote[32].end |
85.78971875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
87.15659375 |
| transcript.pyannote[33].end |
88.11846875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
88.37159375 |
| transcript.pyannote[34].end |
89.82284375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
90.24471875 |
| transcript.pyannote[35].end |
90.88596875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
92.03346875 |
| transcript.pyannote[36].end |
92.62409375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
94.34534375 |
| transcript.pyannote[37].end |
96.74159375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
96.99471875 |
| transcript.pyannote[38].end |
102.58034375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
103.42409375 |
| transcript.pyannote[39].end |
106.27596875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
107.11971875 |
| transcript.pyannote[40].end |
109.29659375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
109.81971875 |
| transcript.pyannote[41].end |
111.37221875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
112.23284375 |
| transcript.pyannote[42].end |
112.53659375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
113.34659375 |
| transcript.pyannote[43].end |
115.11846875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
116.06346875 |
| transcript.pyannote[44].end |
117.36284375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
117.97034375 |
| transcript.pyannote[45].end |
119.64096875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
120.43409375 |
| transcript.pyannote[46].end |
121.69971875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
122.20596875 |
| transcript.pyannote[47].end |
124.87221875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
125.15909375 |
| transcript.pyannote[48].end |
125.41221875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
126.28971875 |
| transcript.pyannote[49].end |
128.34846875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
128.78721875 |
| transcript.pyannote[50].end |
130.96409375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
132.17909375 |
| transcript.pyannote[51].end |
132.41534375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
133.22534375 |
| transcript.pyannote[52].end |
134.44034375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
134.72721875 |
| transcript.pyannote[53].end |
137.76471875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
138.72659375 |
| transcript.pyannote[54].end |
139.87409375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
140.31284375 |
| transcript.pyannote[55].end |
141.62909375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
142.37159375 |
| transcript.pyannote[56].end |
143.50221875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
143.90721875 |
| transcript.pyannote[57].end |
145.07159375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
146.11784375 |
| transcript.pyannote[58].end |
148.19346875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
149.40846875 |
| transcript.pyannote[59].end |
149.67846875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
150.33659375 |
| transcript.pyannote[60].end |
151.38284375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
151.88909375 |
| transcript.pyannote[61].end |
155.44971875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
156.05721875 |
| transcript.pyannote[62].end |
157.00221875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
157.20471875 |
| transcript.pyannote[63].end |
158.84159375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
159.82034375 |
| transcript.pyannote[64].end |
160.74846875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
161.28846875 |
| transcript.pyannote[65].end |
164.57909375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
165.49034375 |
| transcript.pyannote[66].end |
166.51971875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
167.41409375 |
| transcript.pyannote[67].end |
168.49409375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
169.08471875 |
| transcript.pyannote[68].end |
170.83971875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
171.10971875 |
| transcript.pyannote[69].end |
172.59471875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
172.79721875 |
| transcript.pyannote[70].end |
174.53534375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
175.04159375 |
| transcript.pyannote[71].end |
177.10034375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
177.96096875 |
| transcript.pyannote[72].end |
180.49221875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
181.82534375 |
| transcript.pyannote[73].end |
182.66909375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
184.15409375 |
| transcript.pyannote[74].end |
186.71909375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
187.37721875 |
| transcript.pyannote[75].end |
190.19534375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
192.64221875 |
| transcript.pyannote[76].end |
192.87846875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
193.48596875 |
| transcript.pyannote[77].end |
194.98784375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
195.93284375 |
| transcript.pyannote[78].end |
196.65846875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
197.51909375 |
| transcript.pyannote[79].end |
199.32471875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
200.15159375 |
| transcript.pyannote[80].end |
200.55659375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
200.72534375 |
| transcript.pyannote[81].end |
201.38346875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
202.68284375 |
| transcript.pyannote[82].end |
203.98221875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
204.18471875 |
| transcript.pyannote[83].end |
206.31096875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
207.03659375 |
| transcript.pyannote[84].end |
208.94346875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
209.23034375 |
| transcript.pyannote[85].end |
209.92221875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
212.67284375 |
| transcript.pyannote[86].end |
213.58409375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
214.15784375 |
| transcript.pyannote[87].end |
214.86659375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
214.91721875 |
| transcript.pyannote[88].end |
215.77784375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
217.43159375 |
| transcript.pyannote[89].end |
219.22034375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
220.60409375 |
| transcript.pyannote[90].end |
221.16096875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
222.25784375 |
| transcript.pyannote[91].end |
224.90721875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
225.75096875 |
| transcript.pyannote[92].end |
227.10096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
229.22721875 |
| transcript.pyannote[93].end |
230.54346875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
231.64034375 |
| transcript.pyannote[94].end |
231.91034375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
232.11284375 |
| transcript.pyannote[95].end |
233.42909375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
234.39096875 |
| transcript.pyannote[96].end |
234.93096875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
235.33596875 |
| transcript.pyannote[97].end |
236.21346875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
236.87159375 |
| transcript.pyannote[98].end |
237.59721875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
238.49159375 |
| transcript.pyannote[99].end |
239.26784375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
240.09471875 |
| transcript.pyannote[100].end |
241.71471875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
243.31784375 |
| transcript.pyannote[101].end |
243.87471875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
244.04346875 |
| transcript.pyannote[102].end |
244.58346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
244.81971875 |
| transcript.pyannote[103].end |
248.14409375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
249.46034375 |
| transcript.pyannote[104].end |
250.18596875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
250.81034375 |
| transcript.pyannote[105].end |
251.45159375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
252.54846875 |
| transcript.pyannote[106].end |
254.91096875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
255.73784375 |
| transcript.pyannote[107].end |
256.59846875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
257.86409375 |
| transcript.pyannote[108].end |
258.25221875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
258.31971875 |
| transcript.pyannote[109].end |
260.02409375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
260.85096875 |
| transcript.pyannote[110].end |
261.61034375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
262.42034375 |
| transcript.pyannote[111].end |
263.12909375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
263.66909375 |
| transcript.pyannote[112].end |
265.50846875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
266.43659375 |
| transcript.pyannote[113].end |
266.72346875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
267.39846875 |
| transcript.pyannote[114].end |
267.85409375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
268.66409375 |
| transcript.pyannote[115].end |
270.41909375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
271.58346875 |
| transcript.pyannote[116].end |
272.84909375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
274.31721875 |
| transcript.pyannote[117].end |
274.75596875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
275.70096875 |
| transcript.pyannote[118].end |
279.86909375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
281.16846875 |
| transcript.pyannote[119].end |
283.36221875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
284.69534375 |
| transcript.pyannote[120].end |
284.88096875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
285.30284375 |
| transcript.pyannote[121].end |
286.50096875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
286.92284375 |
| transcript.pyannote[122].end |
288.55971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
288.69471875 |
| transcript.pyannote[123].end |
289.74096875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
290.50034375 |
| transcript.pyannote[124].end |
291.24284375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
292.54221875 |
| transcript.pyannote[125].end |
292.94721875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
294.88784375 |
| transcript.pyannote[126].end |
297.80721875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
298.58346875 |
| transcript.pyannote[127].end |
300.49034375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
301.48596875 |
| transcript.pyannote[128].end |
302.83596875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
303.08909375 |
| transcript.pyannote[129].end |
303.79784375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
304.55721875 |
| transcript.pyannote[130].end |
305.01284375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
305.06346875 |
| transcript.pyannote[131].end |
307.98284375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
308.62409375 |
| transcript.pyannote[132].end |
308.91096875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
309.58596875 |
| transcript.pyannote[133].end |
311.20596875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
312.40409375 |
| transcript.pyannote[134].end |
312.82596875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
313.16346875 |
| transcript.pyannote[135].end |
314.20971875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
315.18846875 |
| transcript.pyannote[136].end |
315.62721875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
315.74534375 |
| transcript.pyannote[137].end |
317.93909375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
318.41159375 |
| transcript.pyannote[138].end |
319.91346875 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
320.48721875 |
| transcript.pyannote[139].end |
323.05221875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
324.09846875 |
| transcript.pyannote[140].end |
324.31784375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
325.21221875 |
| transcript.pyannote[141].end |
328.53659375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
329.14409375 |
| transcript.pyannote[142].end |
330.73034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
331.11846875 |
| transcript.pyannote[143].end |
333.26159375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
333.81846875 |
| transcript.pyannote[144].end |
335.84346875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
336.78846875 |
| transcript.pyannote[145].end |
337.56471875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
337.96971875 |
| transcript.pyannote[146].end |
339.97784375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
340.66971875 |
| transcript.pyannote[147].end |
341.78346875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
342.42471875 |
| transcript.pyannote[148].end |
344.93909375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
346.71096875 |
| transcript.pyannote[149].end |
347.11596875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
349.25909375 |
| transcript.pyannote[150].end |
349.69784375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
350.15346875 |
| transcript.pyannote[151].end |
350.38971875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
350.67659375 |
| transcript.pyannote[152].end |
351.40221875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
351.55409375 |
| transcript.pyannote[153].end |
353.62971875 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
353.74784375 |
| transcript.pyannote[154].end |
354.94596875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
355.75596875 |
| transcript.pyannote[155].end |
356.93721875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
357.52784375 |
| transcript.pyannote[156].end |
358.59096875 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
359.46846875 |
| transcript.pyannote[157].end |
362.35409375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
364.14284375 |
| transcript.pyannote[158].end |
364.41284375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
365.49284375 |
| transcript.pyannote[159].end |
365.91471875 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
367.07909375 |
| transcript.pyannote[160].end |
368.58096875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
370.82534375 |
| transcript.pyannote[161].end |
372.79971875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
373.81221875 |
| transcript.pyannote[162].end |
374.09909375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
375.41534375 |
| transcript.pyannote[163].end |
375.97221875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
377.18721875 |
| transcript.pyannote[164].end |
378.25034375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
378.92534375 |
| transcript.pyannote[165].end |
381.84471875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
382.80659375 |
| transcript.pyannote[166].end |
383.54909375 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
384.54471875 |
| transcript.pyannote[167].end |
385.84409375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
386.35034375 |
| transcript.pyannote[168].end |
388.12221875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
388.94909375 |
| transcript.pyannote[169].end |
389.80971875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
390.45096875 |
| transcript.pyannote[170].end |
390.72096875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
392.39159375 |
| transcript.pyannote[171].end |
394.99034375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
395.42909375 |
| transcript.pyannote[172].end |
396.71159375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
397.23471875 |
| transcript.pyannote[173].end |
398.33159375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
399.10784375 |
| transcript.pyannote[174].end |
401.06534375 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
402.07784375 |
| transcript.pyannote[175].end |
404.81159375 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
405.97596875 |
| transcript.pyannote[176].end |
406.66784375 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
407.57909375 |
| transcript.pyannote[177].end |
408.74346875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
409.40159375 |
| transcript.pyannote[178].end |
410.92034375 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
411.73034375 |
| transcript.pyannote[179].end |
412.48971875 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
414.49784375 |
| transcript.pyannote[180].end |
415.44284375 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
415.74659375 |
| transcript.pyannote[181].end |
416.80971875 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
417.36659375 |
| transcript.pyannote[182].end |
418.58159375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
419.74596875 |
| transcript.pyannote[183].end |
421.09596875 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
421.80471875 |
| transcript.pyannote[184].end |
423.77909375 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
424.62284375 |
| transcript.pyannote[185].end |
424.96034375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
425.38221875 |
| transcript.pyannote[186].end |
427.39034375 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
428.04846875 |
| transcript.pyannote[187].end |
428.43659375 |
| transcript.pyannote[188].speaker |
SPEAKER_00 |
| transcript.pyannote[188].start |
428.95971875 |
| transcript.pyannote[188].end |
430.07346875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
430.52909375 |
| transcript.pyannote[189].end |
432.30096875 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
432.80721875 |
| transcript.pyannote[190].end |
434.41034375 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
436.75596875 |
| transcript.pyannote[191].end |
441.54846875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
443.13471875 |
| transcript.pyannote[192].end |
443.59034375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
443.99534375 |
| transcript.pyannote[193].end |
445.00784375 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
446.40846875 |
| transcript.pyannote[194].end |
447.55596875 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
448.24784375 |
| transcript.pyannote[195].end |
448.65284375 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
449.54721875 |
| transcript.pyannote[196].end |
450.25596875 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
450.99846875 |
| transcript.pyannote[197].end |
452.19659375 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
452.58471875 |
| transcript.pyannote[198].end |
453.68159375 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
454.89659375 |
| transcript.pyannote[199].end |
455.77409375 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
456.29721875 |
| transcript.pyannote[200].end |
457.83284375 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
458.47409375 |
| transcript.pyannote[201].end |
460.16159375 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
460.44846875 |
| transcript.pyannote[202].end |
461.22471875 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
461.96721875 |
| transcript.pyannote[203].end |
463.48596875 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
465.71346875 |
| transcript.pyannote[204].end |
468.19409375 |
| transcript.pyannote[205].speaker |
SPEAKER_00 |
| transcript.pyannote[205].start |
469.54409375 |
| transcript.pyannote[205].end |
469.89846875 |
| transcript.pyannote[206].speaker |
SPEAKER_00 |
| transcript.pyannote[206].start |
469.96596875 |
| transcript.pyannote[206].end |
471.68721875 |
| transcript.pyannote[207].speaker |
SPEAKER_00 |
| transcript.pyannote[207].start |
472.26096875 |
| transcript.pyannote[207].end |
474.45471875 |
| transcript.pyannote[208].speaker |
SPEAKER_00 |
| transcript.pyannote[208].start |
475.24784375 |
| transcript.pyannote[208].end |
475.93971875 |
| transcript.pyannote[209].speaker |
SPEAKER_00 |
| transcript.pyannote[209].start |
476.73284375 |
| transcript.pyannote[209].end |
476.85096875 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
476.91846875 |
| transcript.pyannote[210].end |
478.21784375 |
| transcript.pyannote[211].speaker |
SPEAKER_00 |
| transcript.pyannote[211].start |
478.67346875 |
| transcript.pyannote[211].end |
479.06159375 |
| transcript.pyannote[212].speaker |
SPEAKER_00 |
| transcript.pyannote[212].start |
479.46659375 |
| transcript.pyannote[212].end |
481.47471875 |
| transcript.pyannote[213].speaker |
SPEAKER_00 |
| transcript.pyannote[213].start |
482.11596875 |
| transcript.pyannote[213].end |
484.96784375 |
| transcript.pyannote[214].speaker |
SPEAKER_00 |
| transcript.pyannote[214].start |
485.69346875 |
| transcript.pyannote[214].end |
486.92534375 |
| transcript.pyannote[215].speaker |
SPEAKER_00 |
| transcript.pyannote[215].start |
487.31346875 |
| transcript.pyannote[215].end |
488.86596875 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
489.18659375 |
| transcript.pyannote[216].end |
490.82346875 |
| transcript.pyannote[217].speaker |
SPEAKER_00 |
| transcript.pyannote[217].start |
491.97096875 |
| transcript.pyannote[217].end |
494.56971875 |
| transcript.pyannote[218].speaker |
SPEAKER_00 |
| transcript.pyannote[218].start |
495.29534375 |
| transcript.pyannote[218].end |
496.29096875 |
| transcript.pyannote[219].speaker |
SPEAKER_00 |
| transcript.pyannote[219].start |
497.10096875 |
| transcript.pyannote[219].end |
498.65346875 |
| transcript.pyannote[220].speaker |
SPEAKER_00 |
| transcript.pyannote[220].start |
498.90659375 |
| transcript.pyannote[220].end |
499.61534375 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
500.03721875 |
| transcript.pyannote[221].end |
501.38721875 |
| transcript.pyannote[222].speaker |
SPEAKER_00 |
| transcript.pyannote[222].start |
501.52221875 |
| transcript.pyannote[222].end |
502.28159375 |
| transcript.pyannote[223].speaker |
SPEAKER_00 |
| transcript.pyannote[223].start |
502.61909375 |
| transcript.pyannote[223].end |
504.77909375 |
| transcript.pyannote[224].speaker |
SPEAKER_00 |
| transcript.pyannote[224].start |
505.45409375 |
| transcript.pyannote[224].end |
506.85471875 |
| transcript.pyannote[225].speaker |
SPEAKER_00 |
| transcript.pyannote[225].start |
507.66471875 |
| transcript.pyannote[225].end |
511.61346875 |
| transcript.pyannote[226].speaker |
SPEAKER_00 |
| transcript.pyannote[226].start |
512.06909375 |
| transcript.pyannote[226].end |
513.06471875 |
| transcript.pyannote[227].speaker |
SPEAKER_00 |
| transcript.pyannote[227].start |
513.48659375 |
| transcript.pyannote[227].end |
514.19534375 |
| transcript.pyannote[228].speaker |
SPEAKER_00 |
| transcript.pyannote[228].start |
514.66784375 |
| transcript.pyannote[228].end |
515.91659375 |
| transcript.pyannote[229].speaker |
SPEAKER_00 |
| transcript.pyannote[229].start |
516.35534375 |
| transcript.pyannote[229].end |
520.38846875 |
| transcript.pyannote[230].speaker |
SPEAKER_00 |
| transcript.pyannote[230].start |
522.66659375 |
| transcript.pyannote[230].end |
528.10034375 |
| transcript.pyannote[231].speaker |
SPEAKER_01 |
| transcript.pyannote[231].start |
528.10034375 |
| transcript.pyannote[231].end |
528.13409375 |
| transcript.pyannote[232].speaker |
SPEAKER_00 |
| transcript.pyannote[232].start |
528.80909375 |
| transcript.pyannote[232].end |
530.29409375 |
| transcript.pyannote[233].speaker |
SPEAKER_00 |
| transcript.pyannote[233].start |
530.76659375 |
| transcript.pyannote[233].end |
535.39034375 |
| transcript.pyannote[234].speaker |
SPEAKER_00 |
| transcript.pyannote[234].start |
536.30159375 |
| transcript.pyannote[234].end |
537.98909375 |
| transcript.pyannote[235].speaker |
SPEAKER_01 |
| transcript.pyannote[235].start |
537.98909375 |
| transcript.pyannote[235].end |
538.00596875 |
| transcript.pyannote[236].speaker |
SPEAKER_00 |
| transcript.pyannote[236].start |
538.00596875 |
| transcript.pyannote[236].end |
538.02284375 |
| transcript.pyannote[237].speaker |
SPEAKER_01 |
| transcript.pyannote[237].start |
538.02284375 |
| transcript.pyannote[237].end |
538.30971875 |
| transcript.pyannote[238].speaker |
SPEAKER_00 |
| transcript.pyannote[238].start |
538.30971875 |
| transcript.pyannote[238].end |
538.32659375 |
| transcript.pyannote[239].speaker |
SPEAKER_00 |
| transcript.pyannote[239].start |
538.61346875 |
| transcript.pyannote[239].end |
539.62596875 |
| transcript.pyannote[240].speaker |
SPEAKER_00 |
| transcript.pyannote[240].start |
539.87909375 |
| transcript.pyannote[240].end |
541.63409375 |
| transcript.pyannote[241].speaker |
SPEAKER_00 |
| transcript.pyannote[241].start |
542.19096875 |
| transcript.pyannote[241].end |
542.73096875 |
| transcript.pyannote[242].speaker |
SPEAKER_00 |
| transcript.pyannote[242].start |
543.43971875 |
| transcript.pyannote[242].end |
544.53659375 |
| transcript.pyannote[243].speaker |
SPEAKER_00 |
| transcript.pyannote[243].start |
545.09346875 |
| transcript.pyannote[243].end |
545.73471875 |
| transcript.pyannote[244].speaker |
SPEAKER_00 |
| transcript.pyannote[244].start |
545.93721875 |
| transcript.pyannote[244].end |
546.00471875 |
| transcript.pyannote[245].speaker |
SPEAKER_00 |
| transcript.pyannote[245].start |
546.02159375 |
| transcript.pyannote[245].end |
549.64971875 |
| transcript.pyannote[246].speaker |
SPEAKER_00 |
| transcript.pyannote[246].start |
550.57784375 |
| transcript.pyannote[246].end |
550.83096875 |
| transcript.pyannote[247].speaker |
SPEAKER_00 |
| transcript.pyannote[247].start |
551.79284375 |
| transcript.pyannote[247].end |
552.87284375 |
| transcript.pyannote[248].speaker |
SPEAKER_00 |
| transcript.pyannote[248].start |
553.66596875 |
| transcript.pyannote[248].end |
554.25659375 |
| transcript.pyannote[249].speaker |
SPEAKER_00 |
| transcript.pyannote[249].start |
554.79659375 |
| transcript.pyannote[249].end |
556.56846875 |
| transcript.pyannote[250].speaker |
SPEAKER_00 |
| transcript.pyannote[250].start |
557.10846875 |
| transcript.pyannote[250].end |
558.27284375 |
| transcript.pyannote[251].speaker |
SPEAKER_00 |
| transcript.pyannote[251].start |
558.44159375 |
| transcript.pyannote[251].end |
558.98159375 |
| transcript.pyannote[252].speaker |
SPEAKER_00 |
| transcript.pyannote[252].start |
559.69034375 |
| transcript.pyannote[252].end |
560.56784375 |
| transcript.pyannote[253].speaker |
SPEAKER_00 |
| transcript.pyannote[253].start |
561.05721875 |
| transcript.pyannote[253].end |
562.71096875 |
| transcript.pyannote[254].speaker |
SPEAKER_00 |
| transcript.pyannote[254].start |
564.02721875 |
| transcript.pyannote[254].end |
565.25909375 |
| transcript.pyannote[255].speaker |
SPEAKER_00 |
| transcript.pyannote[255].start |
566.15346875 |
| transcript.pyannote[255].end |
569.46096875 |
| transcript.pyannote[256].speaker |
SPEAKER_00 |
| transcript.pyannote[256].start |
570.25409375 |
| transcript.pyannote[256].end |
570.49034375 |
| transcript.pyannote[257].speaker |
SPEAKER_00 |
| transcript.pyannote[257].start |
570.82784375 |
| transcript.pyannote[257].end |
572.09346875 |
| transcript.pyannote[258].speaker |
SPEAKER_00 |
| transcript.pyannote[258].start |
572.92034375 |
| transcript.pyannote[258].end |
574.01721875 |
| transcript.pyannote[259].speaker |
SPEAKER_00 |
| transcript.pyannote[259].start |
574.82721875 |
| transcript.pyannote[259].end |
575.08034375 |
| transcript.pyannote[260].speaker |
SPEAKER_00 |
| transcript.pyannote[260].start |
576.61596875 |
| transcript.pyannote[260].end |
579.53534375 |
| transcript.pyannote[261].speaker |
SPEAKER_00 |
| transcript.pyannote[261].start |
580.00784375 |
| transcript.pyannote[261].end |
581.50971875 |
| transcript.pyannote[262].speaker |
SPEAKER_00 |
| transcript.pyannote[262].start |
582.25221875 |
| transcript.pyannote[262].end |
585.77909375 |
| transcript.pyannote[263].speaker |
SPEAKER_00 |
| transcript.pyannote[263].start |
586.69034375 |
| transcript.pyannote[263].end |
588.07409375 |
| transcript.pyannote[264].speaker |
SPEAKER_00 |
| transcript.pyannote[264].start |
588.69846875 |
| transcript.pyannote[264].end |
590.03159375 |
| transcript.pyannote[265].speaker |
SPEAKER_00 |
| transcript.pyannote[265].start |
590.97659375 |
| transcript.pyannote[265].end |
593.84534375 |
| transcript.pyannote[266].speaker |
SPEAKER_00 |
| transcript.pyannote[266].start |
594.45284375 |
| transcript.pyannote[266].end |
595.46534375 |
| transcript.pyannote[267].speaker |
SPEAKER_00 |
| transcript.pyannote[267].start |
595.63409375 |
| transcript.pyannote[267].end |
596.51159375 |
| transcript.pyannote[268].speaker |
SPEAKER_00 |
| transcript.pyannote[268].start |
597.15284375 |
| transcript.pyannote[268].end |
597.42284375 |
| transcript.pyannote[269].speaker |
SPEAKER_00 |
| transcript.pyannote[269].start |
598.01346875 |
| transcript.pyannote[269].end |
599.95409375 |
| transcript.pyannote[270].speaker |
SPEAKER_00 |
| transcript.pyannote[270].start |
600.96659375 |
| transcript.pyannote[270].end |
603.31221875 |
| transcript.pyannote[271].speaker |
SPEAKER_00 |
| transcript.pyannote[271].start |
603.97034375 |
| transcript.pyannote[271].end |
605.10096875 |
| transcript.pyannote[272].speaker |
SPEAKER_00 |
| transcript.pyannote[272].start |
605.69159375 |
| transcript.pyannote[272].end |
607.05846875 |
| transcript.pyannote[273].speaker |
SPEAKER_00 |
| transcript.pyannote[273].start |
607.31159375 |
| transcript.pyannote[273].end |
607.90221875 |
| transcript.pyannote[274].speaker |
SPEAKER_00 |
| transcript.pyannote[274].start |
608.61096875 |
| transcript.pyannote[274].end |
609.15096875 |
| transcript.pyannote[275].speaker |
SPEAKER_01 |
| transcript.pyannote[275].start |
609.15096875 |
| transcript.pyannote[275].end |
609.18471875 |
| transcript.pyannote[276].speaker |
SPEAKER_00 |
| transcript.pyannote[276].start |
609.79221875 |
| transcript.pyannote[276].end |
609.97784375 |
| transcript.pyannote[277].speaker |
SPEAKER_01 |
| transcript.pyannote[277].start |
609.97784375 |
| transcript.pyannote[277].end |
620.42346875 |
| transcript.pyannote[278].speaker |
SPEAKER_00 |
| transcript.pyannote[278].start |
611.96909375 |
| transcript.pyannote[278].end |
612.15471875 |
| transcript.pyannote[279].speaker |
SPEAKER_00 |
| transcript.pyannote[279].start |
617.35221875 |
| transcript.pyannote[279].end |
619.59659375 |
| transcript.pyannote[280].speaker |
SPEAKER_00 |
| transcript.pyannote[280].start |
620.42346875 |
| transcript.pyannote[280].end |
620.47409375 |
| transcript.pyannote[281].speaker |
SPEAKER_01 |
| transcript.pyannote[281].start |
620.47409375 |
| transcript.pyannote[281].end |
620.64284375 |
| transcript.pyannote[282].speaker |
SPEAKER_00 |
| transcript.pyannote[282].start |
620.64284375 |
| transcript.pyannote[282].end |
621.09846875 |
| transcript.pyannote[283].speaker |
SPEAKER_01 |
| transcript.pyannote[283].start |
621.09846875 |
| transcript.pyannote[283].end |
631.51034375 |
| transcript.pyannote[284].speaker |
SPEAKER_00 |
| transcript.pyannote[284].start |
630.54846875 |
| transcript.pyannote[284].end |
634.61534375 |
| transcript.pyannote[285].speaker |
SPEAKER_01 |
| transcript.pyannote[285].start |
634.61534375 |
| transcript.pyannote[285].end |
648.03096875 |
| transcript.pyannote[286].speaker |
SPEAKER_00 |
| transcript.pyannote[286].start |
634.90221875 |
| transcript.pyannote[286].end |
636.42096875 |
| transcript.pyannote[287].speaker |
SPEAKER_00 |
| transcript.pyannote[287].start |
644.94284375 |
| transcript.pyannote[287].end |
645.61784375 |
| transcript.pyannote[288].speaker |
SPEAKER_00 |
| transcript.pyannote[288].start |
646.71471875 |
| transcript.pyannote[288].end |
647.37284375 |
| transcript.pyannote[289].speaker |
SPEAKER_00 |
| transcript.pyannote[289].start |
648.03096875 |
| transcript.pyannote[289].end |
653.76846875 |
| transcript.pyannote[290].speaker |
SPEAKER_01 |
| transcript.pyannote[290].start |
650.71409375 |
| transcript.pyannote[290].end |
651.22034375 |
| transcript.pyannote[291].speaker |
SPEAKER_00 |
| transcript.pyannote[291].start |
654.49409375 |
| transcript.pyannote[291].end |
655.23659375 |
| transcript.pyannote[292].speaker |
SPEAKER_00 |
| transcript.pyannote[292].start |
655.57409375 |
| transcript.pyannote[292].end |
657.39659375 |
| transcript.pyannote[293].speaker |
SPEAKER_00 |
| transcript.pyannote[293].start |
658.35846875 |
| transcript.pyannote[293].end |
661.17659375 |
| transcript.pyannote[294].speaker |
SPEAKER_00 |
| transcript.pyannote[294].start |
661.81784375 |
| transcript.pyannote[294].end |
663.28596875 |
| transcript.pyannote[295].speaker |
SPEAKER_01 |
| transcript.pyannote[295].start |
663.53909375 |
| transcript.pyannote[295].end |
664.07909375 |
| transcript.pyannote[296].speaker |
SPEAKER_00 |
| transcript.pyannote[296].start |
664.80471875 |
| transcript.pyannote[296].end |
666.34034375 |
| transcript.pyannote[297].speaker |
SPEAKER_00 |
| transcript.pyannote[297].start |
666.39096875 |
| transcript.pyannote[297].end |
675.11534375 |
| transcript.pyannote[298].speaker |
SPEAKER_01 |
| transcript.pyannote[298].start |
672.04409375 |
| transcript.pyannote[298].end |
672.98909375 |
| transcript.pyannote[299].speaker |
SPEAKER_01 |
| transcript.pyannote[299].start |
673.81596875 |
| transcript.pyannote[299].end |
674.67659375 |
| transcript.pyannote[300].speaker |
SPEAKER_00 |
| transcript.pyannote[300].start |
675.97596875 |
| transcript.pyannote[300].end |
677.46096875 |
| transcript.pyannote[301].speaker |
SPEAKER_01 |
| transcript.pyannote[301].start |
676.24596875 |
| transcript.pyannote[301].end |
677.37659375 |
| transcript.pyannote[302].speaker |
SPEAKER_00 |
| transcript.pyannote[302].start |
677.69721875 |
| transcript.pyannote[302].end |
678.05159375 |
| transcript.whisperx[0].start |
0.169 |
| transcript.whisperx[0].end |
22.219 |
| transcript.whisperx[0].text |
天才委員、主席貴委員、有請主任委員、請國家會留主委、教育部次長、還有衛福部首長、 |
| transcript.whisperx[1].start |
31.603 |
| transcript.whisperx[1].end |
55.149 |
| transcript.whisperx[1].text |
各位好這個今天的議題非常非常的重要這個台灣這個全球最低的生意力主委全球最低的生意力台灣這個按照國會你的預估我國人口將有2024年的2340萬減少到2070年的 |
| transcript.whisperx[2].start |
60.083 |
| transcript.whisperx[2].end |
89.701 |
| transcript.whisperx[2].text |
一千四百九十七萬人減少八百四十四萬人事實上如果我們從你的數字尤其是減少的就是年齡越小的事實上少子女化是國安問題已經喊了超過十年了然後這幾年當然政府也在努力 |
| transcript.whisperx[3].start |
90.325 |
| transcript.whisperx[3].end |
114.736 |
| transcript.whisperx[3].text |
也在做但是這個過去我一再的質詢行政院應該要最起碼少子女化辦公室但是都沒有設了那我們賴總統設了三個委員會也沒有把這個國安問題列在那個委員會裡面現在就是由政務委員 |
| transcript.whisperx[4].start |
116.307 |
| transcript.whisperx[4].end |
144.662 |
| transcript.whisperx[4].text |
政務委員也很忙我們就9個政務委員他們也很多事情所以這個一直維持過去的一個國安會當然除了這個之外提了這個相關的主要政策提了這些政策結果一估的未來還是會減少這麼多所以這個部分顯然這個政策要去做調整要怎麼去因應 |
| transcript.whisperx[5].start |
146.378 |
| transcript.whisperx[5].end |
174.275 |
| transcript.whisperx[5].text |
當然這裡面很多政策你都提了就沒有提到年輕人買房也買不起租房子也租得很貴雖然很多的政策都在推動事實上並沒有根本的去解決這些問題所以這個部分這個各部會當然就國發會一些可能也很難仰賴政務委員他真的很忙 |
| transcript.whisperx[6].start |
175.1 |
| transcript.whisperx[6].end |
179.243 |
| transcript.whisperx[6].text |
國家發展委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會 |
| transcript.whisperx[7].start |
197.577 |
| transcript.whisperx[7].end |
226.973 |
| transcript.whisperx[7].text |
公共托育設施或是公辦民營的托育中心或是市立的托育中心都不足我跟衛福部做說明一個禮拜前、兩個禮拜前剛剛已經當了好幾屆的立法委員他現在沒有當立委了 |
| transcript.whisperx[8].start |
229.241 |
| transcript.whisperx[8].end |
255.886 |
| transcript.whisperx[8].text |
好不容易他的孩子,好不容易有了孫子,要托嬰,沒有地方托嬰啊,還要排隊啊,要抽籤啊,排隊還抽不到,抽籤排不對,不曉得要等幾年,為什麼還要等幾年,不知道,林口啊,他說不知道,類似像這樣,連這個都不足,怎麼樣去 |
| transcript.whisperx[9].start |
258.678 |
| transcript.whisperx[9].end |
282.765 |
| transcript.whisperx[9].text |
讓我們的年輕人願意生、敢生所以這個部分光這個就不足啊所以這裡面提到薪資3萬多我們看勞動部長說薪水低於3.1萬就是低薪勞工啊我們只比低薪勞工多一點點 |
| transcript.whisperx[10].start |
285.379 |
| transcript.whisperx[10].end |
314.042 |
| transcript.whisperx[10].text |
照顧小孩、嬰兒或是幼兒很辛苦的對不對勞動部長說3.1萬就是低薪勞工啊我們只比低薪勞工多一點點所以這個部分都是問題所以剛才為什麼有委員說這金額不足嘛對不對金額不足嘛 |
| transcript.whisperx[11].start |
316.574 |
| transcript.whisperx[11].end |
344.294 |
| transcript.whisperx[11].text |
我本來不想談四千多億台電加上核電當初新設就四千多億八千多億將近九千多億的錢投入結果就不用四千多億蓋核電廠四千多億當時的四千多億不是現在的所以我們的錢人民的錢就是這樣花的但是真正國安的問題 |
| transcript.whisperx[12].start |
349.296 |
| transcript.whisperx[12].end |
372.567 |
| transcript.whisperx[12].text |
你現在勞動部或者是各部會所寫的沒有提到這些了我常常講的是什麼?軍人嘛!志願業軍人就越來越少了對不對?那以後要外籍軍人喔!這個就台灣而言備戰 |
| transcript.whisperx[13].start |
377.199 |
| transcript.whisperx[13].end |
406.423 |
| transcript.whisperx[13].text |
最重要就是人啊在座再怎麼精良的武器也要有精良的軍人來去操作、來去使用啊現在完全完全真的是所以國發會很重要要怎麼去整合相關的問題所以這個部分是需要去非常重要的很大的一個政策 |
| transcript.whisperx[14].start |
407.625 |
| transcript.whisperx[14].end |
434.085 |
| transcript.whisperx[14].text |
要去統籌當然是這個部分要一個要有決定前的人來去做這個統合的業務相關各部會的業務包括國防部我剛講的對不對這個都有關係志願役就能越來越少因為他是低薪勞工 |
| transcript.whisperx[15].start |
436.789 |
| transcript.whisperx[15].end |
463.235 |
| transcript.whisperx[15].text |
都是低薪勞工啊!他是24小時在軍營區呢?對不對?沒有自由呢?當然不去了啊!對不對?去了離開的比例很高啊!這個是一個國安問題不是只有講的這些一般的人數而已啊!包括 |
| transcript.whisperx[16].start |
466.051 |
| transcript.whisperx[16].end |
493.828 |
| transcript.whisperx[16].text |
包括軍力、國防那才是真正的國安所以這個是很廣的所以我從這個第8屆當立委就開始諮詢少子女化辦公室最起碼行政院要成立那當然由賴總統來去成立委員會那更好所以比那個三個委員會都還 |
| transcript.whisperx[17].start |
495.536 |
| transcript.whisperx[17].end |
519.651 |
| transcript.whisperx[17].text |
來得重要啊對不對我們一直說從國外來小外生來結果呢事實上不是這麼一回事啊花了那麼多錢在那邊所以還是怎麼樣讓我們的年輕人感生好我們這個主委還有這個衛福部請回座我們就請最後一部最後一個議題 |
| transcript.whisperx[18].start |
523.288 |
| transcript.whisperx[18].end |
548.104 |
| transcript.whisperx[18].text |
市長希望你能夠重視這個112年6月29號行政院公布了私立大專學校學雜費掃角3.5萬這個掃角基本上都不包含原住民因為原住民本來從國民政府時代 |
| transcript.whisperx[19].start |
551.823 |
| transcript.whisperx[19].end |
573.103 |
| transcript.whisperx[19].text |
一直到現在教育部從過去的省政府教育廳到現在的教育部都有這個學雜費的減免但是都沒有調啊這邊私立大學少繳了3.5萬我們毫無受惠變成這麼多錢了 |
| transcript.whisperx[20].start |
576.95 |
| transcript.whisperx[20].end |
603.17 |
| transcript.whisperx[20].text |
我們毫無所悔所以本席曾經開過協調會也曾經諮詢過前任的陳俊仁院長前任的部長也說要研議所以到現在還沒有一個結果所以要請次長而且這個部分不是因為107到現在都沒有條了 |
| transcript.whisperx[21].start |
604.282 |
| transcript.whisperx[21].end |
632.496 |
| transcript.whisperx[21].text |
也夠久了所以這個部分是這個要請次長是報告委員這個高中以下首長跟我說其實是那個對住宿對這個我知道其實都有調整這國民政府時代就開始的了對其實都有滾動性在調整補助那大學的部分因為那個私立大學那個政策補助3.5萬部分因為原來原住民學生就已經有補助了我知道所以要同步 |
| transcript.whisperx[22].start |
633.038 |
| transcript.whisperx[22].end |
657.195 |
| transcript.whisperx[22].text |
我們也人數很少啦是,我們未來會一起檢討啦看這個他的住宿費用啦或者其他的費用上能夠給予補助的部分或獎學金的部分我們會來提供研究好不好那會後的資料我們再提供給不用資料我都有所以住宿稅要增加減免原住民與非原住民的 |
| transcript.whisperx[23].start |
658.376 |
| transcript.whisperx[23].end |
672.861 |
| transcript.whisperx[23].text |
大專學生的落差百分之三十幾啊百分之三十幾交易的提升很重要所以這個部門務必要請次長來幫幫忙好謝謝委員我們來努力謝謝謝謝謝謝政經社委員 |
| gazette.lineno |
394 |
| gazette.blocks[0][0] |
鄭天財Sra Kacaw委員：（10時30分）主席、各位委員。有請主任委員。 |
| gazette.blocks[1][0] |
主席：請國發會劉主委。 |
| gazette.blocks[2][0] |
鄭天財Sra Kacaw委員：教育部。 |
| gazette.blocks[3][0] |
主席：教育部張廖次長。 |
| gazette.blocks[4][0] |
鄭天財Sra Kacaw委員：衛福部。 |
| gazette.blocks[5][0] |
主席：請衛福部周署長。 |
| gazette.blocks[6][0] |
鄭天財Sra Kacaw委員：各位好。今天的議題非常非常重要。主委，臺灣生育率是全球最低的，按照國發會預估，我國人口將由2024年的2,340萬減少到2070年的1,497人，減少844萬，從數字來看，減少的尤其是在年齡越小的部分。事實上，少子女化是國安問題已經喊超過十年了，這幾年政府當然有在努力做，過去我也一再質詢，認為行政院最起碼要成立少子女化辦公室，但都沒有設！賴總統設了3個委員會，也沒有把這個國安問題列入委員會裡。現在就是由政務委員負責，但政務委員也很忙，而且就9個政務委員，他們事情也很多，所以這個一直維持在過去的一個……國發會除了這個之外，還提了相關的主要政策，雖然提了政策，結果卻預估未來會減少這麼多，顯然政策需要做調整，看要怎麼去因應。雖然你提了很多政策，就是沒有提到年輕人買房買不起，租房子也租得很貴！雖然很多政策都在推動，事實上並沒有根本解決問題。在政策上，國發會很難仰賴政務委員，因為他真的很忙，還要審議很多法案，所以國發會到底要怎麼樣跟相關部會統籌處理？我認為這部分是很重要的，我就舉一些例子。 |
| gazette.blocks[6][1] |
以衛福部的部分來說，光公共托育設施或是公辦民營的托嬰中心或私立的托嬰中心都不足。我跟衛福部做說明，兩個禮拜前已經當了好幾屆立法委員的，現在他沒有當立委了，好不容易等到有孫子，卻沒地方托嬰，還要排隊、抽籤，還抽不到，不曉得要等幾年。我問他還要等幾年？不知道。在林口，他說不知道。類似這種情況，連這個都不足，又怎麼能讓我們的年輕人願意生敢生？在這點上，光這個就不足了！ |
| gazette.blocks[6][2] |
這裡面提到薪資3萬多，勞動部長說薪水低於3.1萬就是低薪勞工，我們只比低薪勞工多一點點，而且照顧小孩、嬰兒或幼兒是很辛苦的，對不對？勞動部長說3.1萬就是低薪勞工，我們只比低薪勞工多一點點，所以這些都是問題。 |
| gazette.blocks[6][3] |
剛才為什麼有委員說金額不足，對不對？我本來不想談，當初台電新設核電廠就花了四千多億，後來追加到八千多億，將近九千多億的錢投入，結果不用！花了四千多億蓋核電廠，而且是當時的四千多億，不是現在的，所以人民的錢就是這樣花掉的，這是真正的國安問題，不過勞動部或各部會所寫的都沒有提到這些。 |
| gazette.blocks[6][4] |
我常常講的例子是什麼？軍人，志願役軍人越來越少，對不對？難道以後要用外籍軍人嗎？就臺灣而言，備戰最重要的就是人，再怎麼精良的武器，也要有精良的軍人操作、使用，現在完全……真的是……所以國發會很重要，看要怎麼去整合相關問題，且這部分需要一個非常重要又很大的政策去統籌，當然，也需要一個有決定權的人負責統合相關各部會的業務，包括國防部。我剛剛講志願役軍人越來越少，因為他是低薪勞工，24小時在軍營區，而且沒有自由，當然就不去了，對不對？就算去了，離開的比例也很高，所以這也是國安問題，並不是講講人數就好，畢竟包括軍力與國防，是真正的國安，牽涉是很廣的。 |
| gazette.blocks[6][5] |
我從第8屆當立委就開始質詢，希望行政院至少要成立少子女化辦公室，若能由賴總統成立委員會的話更好，這遠比那3個委員來得重要，對不對？我們一直希望人從國外來、從僑外生來，結果呢？事實上不是這麼一回事啊，還花了那麼多錢在那邊？所以還是看怎麼樣讓我們的年輕人敢生。主委、衛福部周署長請回座，最後一個議題請教教育部。 |
| gazette.blocks[7][0] |
張廖次長萬堅：委員好。 |
| gazette.blocks[8][0] |
鄭天財Sra Kacaw委員：次長，希望你能重視112年6月29日行政院公布私立大專學校學雜費少繳3.5萬，但所謂少繳，基本上都不包含原住民，因為原住民從國民政府時代一直到現在，從過去的省政府教育廳到現在的教育部都有學雜費減免，但我們都沒有調啊！私立大學可以少繳3.5萬，我們卻毫無受惠！編了這麼多錢，我們毫無受惠。為此，本席曾經開過協調會，也曾經質詢過前任的陳建仁院長，前任部長也說要研議，到現在還是沒有結果。所以請次長注意，畢竟這部分從107年到現在都沒有調整，也夠久了，所以這部分請次長…… |
| gazette.blocks[9][0] |
張廖次長萬堅：報告委員，署長跟我說高中以下對住宿都有補助。 |
| gazette.blocks[10][0] |
鄭天財Sra Kacaw委員：我知道，國民政府時代就開始的。 |
| gazette.blocks[11][0] |
張廖次長萬堅：其實都有滾動式調整補助，大學的部分，因為私立大學政策補助3.5萬元的部分，因為原來原住民學生就有補助。 |
| gazette.blocks[12][0] |
鄭天財Sra Kacaw委員：我知道，所以要同步，我們人數很少。 |
| gazette.blocks[13][0] |
張廖次長萬堅：我們未來會一起檢討，看他的住宿費用或其他的費用能夠給予補助的部分、獎學金的部分，我們會來提供、研究，會後資料再提供給委員。 |
| gazette.blocks[14][0] |
鄭天財Sra Kacaw委員：不用資料，我都有，現在就是要增加減免，原住民與非原住民的大專學生落差百分之三十幾，教育的提升很重要，所以這個部分務必要請次長來幫幫忙。 |
| gazette.blocks[15][0] |
張廖次長萬堅：謝謝委員，我們來努力。 |
| gazette.blocks[16][0] |
鄭天財Sra Kacaw委員：謝謝。 |
| gazette.blocks[17][0] |
主席：謝謝鄭天財Sra Kacaw委員，次長請回座。鄭委員、賴委員，剛才已經宣告過，在鄭委員質詢之後要休息，現在休息7分鐘。 |
| gazette.blocks[17][1] |
休息（10時41分） |
| gazette.blocks[17][2] |
繼續開會（10時48分） |
| gazette.blocks[18][0] |
主席：現在繼續開會。 |
| gazette.blocks[18][1] |
下一位質詢請鄭正鈐委員。 |
| gazette.agenda.page_end |
224 |
| gazette.agenda.meet_id |
委員會-11-2-19-8 |
| gazette.agenda.speakers[0] |
邱志偉 |
| gazette.agenda.speakers[1] |
林岱樺 |
| gazette.agenda.speakers[2] |
邱議瑩 |
| gazette.agenda.speakers[3] |
呂玉玲 |
| gazette.agenda.speakers[4] |
張啓楷 |
| gazette.agenda.speakers[5] |
張嘉郡 |
| gazette.agenda.speakers[6] |
陳亭妃 |
| gazette.agenda.speakers[7] |
鄭天財Sra Kacaw |
| gazette.agenda.speakers[8] |
鄭正鈐 |
| gazette.agenda.speakers[9] |
賴瑞隆 |
| gazette.agenda.speakers[10] |
謝衣鳯 |
| gazette.agenda.speakers[11] |
陳超明 |
| gazette.agenda.speakers[12] |
楊瓊瓔 |
| gazette.agenda.speakers[13] |
羅智強 |
| gazette.agenda.speakers[14] |
陳菁徽 |
| gazette.agenda.speakers[15] |
賴惠員 |
| gazette.agenda.speakers[16] |
羅美玲 |
| gazette.agenda.speakers[17] |
陳培瑜 |
| gazette.agenda.speakers[18] |
蔡易餘 |
| gazette.agenda.speakers[19] |
林月琴 |
| gazette.agenda.speakers[20] |
翁曉玲 |
| gazette.agenda.speakers[21] |
張雅琳 |
| gazette.agenda.speakers[22] |
吳春城 |
| gazette.agenda.page_start |
167 |
| gazette.agenda.meetingDate[0] |
2024-10-24 |
| gazette.agenda.gazette_id |
1138901 |
| gazette.agenda.agenda_lcidc_ids[0] |
1138901_00004 |
| gazette.agenda.meet_name |
立法院第11屆第2會期經濟委員會第8次全體委員會議紀錄 |
| gazette.agenda.content |
一、邀請國家發展委員會主任委員、衛生福利部首長、教育部首長、勞動部首長就「我國少子女
化現況及對策計畫成效，暨我國與亞鄰國家之留才攬才政策競爭力比較」進行報告，並備質詢；
二、邀請國家發展委員會主任委員、行政院人事行政總處首長就「我國少子女化對策主管單位與
主要國家做法之比較，暨我國參採改制之可行性」進行報告，並備質詢 |
| gazette.agenda.agenda_id |
1138901_00003 |
| IVOD_ID |
156073 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/156073 |
| 日期 |
2024-10-24 |
| 會議資料.會議代碼 |
委員會-11-2-19-8 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
2 |
| 會議資料.會次 |
8 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.標題 |
第11屆第2會期經濟委員會第8次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-10-24T10:29:51+08:00 |
| 結束時間 |
2024-10-24T10:41:10+08:00 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |