影片長度 |
895 |
委員名稱 |
劉建國 |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9cb36b9643c5df69cd36c7be689687307dcb16210b9dd917bec2939449debf3c7fdd84d6b9791bcc5ea18f28b6918d91.mp4/playlist.m3u8 |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
4.09784375 |
transcript.pyannote[0].end |
5.49846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
5.80221875 |
transcript.pyannote[1].end |
6.57846875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
10.62846875 |
transcript.pyannote[2].end |
11.01659375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
11.48909375 |
transcript.pyannote[3].end |
11.94471875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
11.97846875 |
transcript.pyannote[4].end |
14.62784375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
14.91471875 |
transcript.pyannote[5].end |
16.34909375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
16.70346875 |
transcript.pyannote[6].end |
17.44596875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
17.86784375 |
transcript.pyannote[7].end |
19.36971875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
19.53846875 |
transcript.pyannote[8].end |
20.19659375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
20.56784375 |
transcript.pyannote[9].end |
21.31034375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
21.74909375 |
transcript.pyannote[10].end |
23.38596875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
23.58846875 |
transcript.pyannote[11].end |
24.44909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
24.92159375 |
transcript.pyannote[12].end |
26.52471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
26.69346875 |
transcript.pyannote[13].end |
28.27971875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
28.78596875 |
transcript.pyannote[14].end |
29.39346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
30.64221875 |
transcript.pyannote[15].end |
30.97971875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
30.89534375 |
transcript.pyannote[16].end |
31.45221875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
31.60409375 |
transcript.pyannote[17].end |
32.88659375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
32.97096875 |
transcript.pyannote[18].end |
33.93284375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
34.70909375 |
transcript.pyannote[19].end |
36.88596875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
36.88596875 |
transcript.pyannote[20].end |
39.46784375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
38.20221875 |
transcript.pyannote[21].end |
38.91096875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
40.12596875 |
transcript.pyannote[22].end |
42.20159375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
41.00346875 |
transcript.pyannote[23].end |
44.63159375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
43.06221875 |
transcript.pyannote[24].end |
43.60221875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
48.34409375 |
transcript.pyannote[25].end |
49.81221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
48.81659375 |
transcript.pyannote[26].end |
50.67284375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
51.28034375 |
transcript.pyannote[27].end |
54.62159375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
55.83659375 |
transcript.pyannote[28].end |
57.10221875 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
57.18659375 |
transcript.pyannote[29].end |
58.53659375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
58.51971875 |
transcript.pyannote[30].end |
58.90784375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
58.53659375 |
transcript.pyannote[31].end |
62.60346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
59.68409375 |
transcript.pyannote[32].end |
59.97096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
63.36284375 |
transcript.pyannote[33].end |
64.39221875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
64.66221875 |
transcript.pyannote[34].end |
65.79284375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
65.89409375 |
transcript.pyannote[35].end |
65.91096875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
65.91096875 |
transcript.pyannote[36].end |
66.41721875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
66.19784375 |
transcript.pyannote[37].end |
66.90659375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
67.59846875 |
transcript.pyannote[38].end |
68.66159375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
69.38721875 |
transcript.pyannote[39].end |
70.21409375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
70.87221875 |
transcript.pyannote[40].end |
71.95221875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
72.69471875 |
transcript.pyannote[41].end |
74.07846875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
74.73659375 |
transcript.pyannote[42].end |
75.51284375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
76.03596875 |
transcript.pyannote[43].end |
78.60096875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
78.85409375 |
transcript.pyannote[44].end |
80.94659375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
81.28409375 |
transcript.pyannote[45].end |
86.56596875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
87.03846875 |
transcript.pyannote[46].end |
90.21096875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
91.79721875 |
transcript.pyannote[47].end |
92.33721875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
93.72096875 |
transcript.pyannote[48].end |
98.32784375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
99.59346875 |
transcript.pyannote[49].end |
100.60596875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
100.09971875 |
transcript.pyannote[50].end |
104.48721875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
102.15846875 |
transcript.pyannote[51].end |
102.41159375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
104.55471875 |
transcript.pyannote[52].end |
106.73159375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
106.88346875 |
transcript.pyannote[53].end |
108.80721875 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
109.41471875 |
transcript.pyannote[54].end |
109.71846875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
109.71846875 |
transcript.pyannote[55].end |
109.83659375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
109.83659375 |
transcript.pyannote[56].end |
109.97159375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
109.97159375 |
transcript.pyannote[57].end |
110.20784375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
110.20784375 |
transcript.pyannote[58].end |
110.39346875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
110.39346875 |
transcript.pyannote[59].end |
110.41034375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
110.41034375 |
transcript.pyannote[60].end |
110.51159375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
110.51159375 |
transcript.pyannote[61].end |
110.79846875 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
110.79846875 |
transcript.pyannote[62].end |
110.96721875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
110.96721875 |
transcript.pyannote[63].end |
113.32971875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
113.76846875 |
transcript.pyannote[64].end |
116.80596875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
116.46846875 |
transcript.pyannote[65].end |
120.67034375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
119.20221875 |
transcript.pyannote[66].end |
119.21909375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
119.23596875 |
transcript.pyannote[67].end |
119.35409375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
119.37096875 |
transcript.pyannote[68].end |
119.52284375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
119.52284375 |
transcript.pyannote[69].end |
120.29909375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
121.29471875 |
transcript.pyannote[70].end |
121.34534375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
121.34534375 |
transcript.pyannote[71].end |
121.51409375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
122.37471875 |
transcript.pyannote[72].end |
122.39159375 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
122.39159375 |
transcript.pyannote[73].end |
123.31971875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
124.63596875 |
transcript.pyannote[74].end |
127.47096875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
127.90971875 |
transcript.pyannote[75].end |
130.98096875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
134.06909375 |
transcript.pyannote[76].end |
137.49471875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
138.49034375 |
transcript.pyannote[77].end |
139.87409375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
140.43096875 |
transcript.pyannote[78].end |
140.56596875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
140.56596875 |
transcript.pyannote[79].end |
140.58284375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
140.58284375 |
transcript.pyannote[80].end |
140.59971875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
140.59971875 |
transcript.pyannote[81].end |
141.56159375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
141.32534375 |
transcript.pyannote[82].end |
141.56159375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
141.56159375 |
transcript.pyannote[83].end |
141.89909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
141.89909375 |
transcript.pyannote[84].end |
141.96659375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
141.96659375 |
transcript.pyannote[85].end |
141.98346875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
142.03409375 |
transcript.pyannote[86].end |
142.94534375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
142.60784375 |
transcript.pyannote[87].end |
142.67534375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
142.67534375 |
transcript.pyannote[88].end |
143.35034375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
144.58221875 |
transcript.pyannote[89].end |
152.36159375 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
152.91846875 |
transcript.pyannote[90].end |
154.38659375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
155.11221875 |
transcript.pyannote[91].end |
155.14596875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
156.27659375 |
transcript.pyannote[92].end |
157.40721875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
157.40721875 |
transcript.pyannote[93].end |
159.90471875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
160.15784375 |
transcript.pyannote[94].end |
165.45659375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
161.69346875 |
transcript.pyannote[95].end |
164.27534375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
165.54096875 |
transcript.pyannote[96].end |
167.44784375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
167.88659375 |
transcript.pyannote[97].end |
168.00471875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
168.93284375 |
transcript.pyannote[98].end |
171.29534375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
169.64159375 |
transcript.pyannote[99].end |
169.77659375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
170.09721875 |
transcript.pyannote[100].end |
171.19409375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
171.32909375 |
transcript.pyannote[101].end |
177.03284375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
177.84284375 |
transcript.pyannote[102].end |
181.47096875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
181.97721875 |
transcript.pyannote[103].end |
185.03159375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
182.39909375 |
transcript.pyannote[104].end |
183.27659375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
185.11596875 |
transcript.pyannote[105].end |
187.59659375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
188.17034375 |
transcript.pyannote[106].end |
191.30909375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
191.46096875 |
transcript.pyannote[107].end |
192.35534375 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
193.46909375 |
transcript.pyannote[108].end |
199.81409375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
201.50159375 |
transcript.pyannote[109].end |
202.17659375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
202.24409375 |
transcript.pyannote[110].end |
202.81784375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
202.98659375 |
transcript.pyannote[111].end |
205.56846875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
205.97346875 |
transcript.pyannote[112].end |
206.47971875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
206.96909375 |
transcript.pyannote[113].end |
207.03659375 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
207.05346875 |
transcript.pyannote[114].end |
208.97721875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
209.19659375 |
transcript.pyannote[115].end |
209.73659375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
211.25534375 |
transcript.pyannote[116].end |
213.76971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
213.97221875 |
transcript.pyannote[117].end |
214.68096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
214.76534375 |
transcript.pyannote[118].end |
233.59784375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
220.80659375 |
transcript.pyannote[119].end |
221.04284375 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
229.21034375 |
transcript.pyannote[120].end |
229.61534375 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
233.51346875 |
transcript.pyannote[121].end |
234.99846875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
234.79596875 |
transcript.pyannote[122].end |
236.92221875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
235.08284375 |
transcript.pyannote[123].end |
235.53846875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
236.09534375 |
transcript.pyannote[124].end |
238.17096875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
237.66471875 |
transcript.pyannote[125].end |
242.11971875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
242.96346875 |
transcript.pyannote[126].end |
243.58784375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
243.73971875 |
transcript.pyannote[127].end |
244.39784375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
244.39784375 |
transcript.pyannote[128].end |
258.40409375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
253.93221875 |
transcript.pyannote[129].end |
254.57346875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
258.87659375 |
transcript.pyannote[130].end |
262.30221875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
262.77471875 |
transcript.pyannote[131].end |
268.36034375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
268.54596875 |
transcript.pyannote[132].end |
273.23721875 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
269.65971875 |
transcript.pyannote[133].end |
270.95909375 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
271.80284375 |
transcript.pyannote[134].end |
279.88596875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
274.01346875 |
transcript.pyannote[135].end |
275.51534375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
279.88596875 |
transcript.pyannote[136].end |
284.08784375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
280.22346875 |
transcript.pyannote[137].end |
280.54409375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
284.34096875 |
transcript.pyannote[138].end |
288.03659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
288.28971875 |
transcript.pyannote[139].end |
296.06909375 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
290.31471875 |
transcript.pyannote[140].end |
291.79971875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
291.79971875 |
transcript.pyannote[141].end |
291.83346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
296.81159375 |
transcript.pyannote[142].end |
298.02659375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
298.71846875 |
transcript.pyannote[143].end |
326.22471875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
326.30909375 |
transcript.pyannote[144].end |
328.24971875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
329.21159375 |
transcript.pyannote[145].end |
355.48596875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
355.84034375 |
transcript.pyannote[146].end |
360.90284375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
361.40909375 |
transcript.pyannote[147].end |
363.28221875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
363.63659375 |
transcript.pyannote[148].end |
366.35346875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
366.72471875 |
transcript.pyannote[149].end |
368.98596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
370.82534375 |
transcript.pyannote[150].end |
371.66909375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
372.58034375 |
transcript.pyannote[151].end |
373.79534375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
374.97659375 |
transcript.pyannote[152].end |
375.58409375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
376.02284375 |
transcript.pyannote[153].end |
377.60909375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
378.45284375 |
transcript.pyannote[154].end |
379.43159375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
380.37659375 |
transcript.pyannote[155].end |
381.16971875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
382.18221875 |
transcript.pyannote[156].end |
382.70534375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
383.14409375 |
transcript.pyannote[157].end |
384.19034375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
385.57409375 |
transcript.pyannote[158].end |
386.83971875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
387.71721875 |
transcript.pyannote[159].end |
388.93221875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
389.52284375 |
transcript.pyannote[160].end |
392.00346875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
392.49284375 |
transcript.pyannote[161].end |
396.67784375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
397.06596875 |
transcript.pyannote[162].end |
398.46659375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
398.87159375 |
transcript.pyannote[163].end |
407.52846875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
408.16971875 |
transcript.pyannote[164].end |
415.94909375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
417.01221875 |
transcript.pyannote[165].end |
420.50534375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
421.68659375 |
transcript.pyannote[166].end |
425.56784375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
427.39034375 |
transcript.pyannote[167].end |
428.89221875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
429.58409375 |
transcript.pyannote[168].end |
433.76909375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
434.39346875 |
transcript.pyannote[169].end |
435.10221875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
438.47721875 |
transcript.pyannote[170].end |
439.55721875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
440.19846875 |
transcript.pyannote[171].end |
447.15096875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
447.96096875 |
transcript.pyannote[172].end |
448.51784375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
448.39971875 |
transcript.pyannote[173].end |
449.95221875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
450.18846875 |
transcript.pyannote[174].end |
452.92221875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
453.31034375 |
transcript.pyannote[175].end |
467.56971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
468.21096875 |
transcript.pyannote[176].end |
469.67909375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
469.83096875 |
transcript.pyannote[177].end |
474.80909375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
475.21409375 |
transcript.pyannote[178].end |
476.58096875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
477.42471875 |
transcript.pyannote[179].end |
478.57221875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
479.33159375 |
transcript.pyannote[180].end |
482.53784375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
483.44909375 |
transcript.pyannote[181].end |
500.99909375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
504.98159375 |
transcript.pyannote[182].end |
505.65659375 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
506.97284375 |
transcript.pyannote[183].end |
507.93471875 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
508.17096875 |
transcript.pyannote[184].end |
508.32284375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
508.32284375 |
transcript.pyannote[185].end |
509.21721875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
508.33971875 |
transcript.pyannote[186].end |
512.00159375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
510.28034375 |
transcript.pyannote[187].end |
511.30971875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
511.66409375 |
transcript.pyannote[188].end |
513.60471875 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
513.60471875 |
transcript.pyannote[189].end |
513.65534375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
513.65534375 |
transcript.pyannote[190].end |
513.70596875 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
513.70596875 |
transcript.pyannote[191].end |
513.97596875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
513.73971875 |
transcript.pyannote[192].end |
513.90846875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
513.97596875 |
transcript.pyannote[193].end |
514.51596875 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
513.99284375 |
transcript.pyannote[194].end |
514.09409375 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
514.14471875 |
transcript.pyannote[195].end |
514.17846875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
514.56659375 |
transcript.pyannote[196].end |
514.76909375 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
514.76909375 |
transcript.pyannote[197].end |
514.80284375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
514.80284375 |
transcript.pyannote[198].end |
517.31721875 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
516.28784375 |
transcript.pyannote[199].end |
516.69284375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
518.07659375 |
transcript.pyannote[200].end |
524.97846875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
525.45096875 |
transcript.pyannote[201].end |
526.12596875 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
526.46346875 |
transcript.pyannote[202].end |
527.52659375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
527.03721875 |
transcript.pyannote[203].end |
527.56034375 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
527.56034375 |
transcript.pyannote[204].end |
529.66971875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
528.82596875 |
transcript.pyannote[205].end |
529.73721875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
529.85534375 |
transcript.pyannote[206].end |
529.87221875 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
529.87221875 |
transcript.pyannote[207].end |
530.31096875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
529.93971875 |
transcript.pyannote[208].end |
532.79159375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
532.90971875 |
transcript.pyannote[209].end |
535.03596875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
535.60971875 |
transcript.pyannote[210].end |
540.09846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
540.84096875 |
transcript.pyannote[211].end |
551.13471875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
551.77596875 |
transcript.pyannote[212].end |
555.43784375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
555.74159375 |
transcript.pyannote[213].end |
557.51346875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
557.68221875 |
transcript.pyannote[214].end |
561.61409375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
562.93034375 |
transcript.pyannote[215].end |
563.70659375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
564.65159375 |
transcript.pyannote[216].end |
565.17471875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
565.66409375 |
transcript.pyannote[217].end |
566.27159375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
566.62596875 |
transcript.pyannote[218].end |
567.75659375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
568.33034375 |
transcript.pyannote[219].end |
569.64659375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
570.08534375 |
transcript.pyannote[220].end |
575.33346875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
575.73846875 |
transcript.pyannote[221].end |
576.93659375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
577.39221875 |
transcript.pyannote[222].end |
580.76721875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
581.00346875 |
transcript.pyannote[223].end |
581.56034375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
582.25221875 |
transcript.pyannote[224].end |
583.46721875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
583.95659375 |
transcript.pyannote[225].end |
597.79409375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
598.72221875 |
transcript.pyannote[226].end |
599.43096875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
600.02159375 |
transcript.pyannote[227].end |
601.18596875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
601.92846875 |
transcript.pyannote[228].end |
602.82284375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
603.36284375 |
transcript.pyannote[229].end |
604.32471875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
604.71284375 |
transcript.pyannote[230].end |
605.15159375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
605.64096875 |
transcript.pyannote[231].end |
606.83909375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
607.64909375 |
transcript.pyannote[232].end |
608.84721875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
609.38721875 |
transcript.pyannote[233].end |
614.04471875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
614.88846875 |
transcript.pyannote[234].end |
615.74909375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
616.08659375 |
transcript.pyannote[235].end |
620.96346875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
621.52034375 |
transcript.pyannote[236].end |
624.23721875 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
625.26659375 |
transcript.pyannote[237].end |
626.05971875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
626.70096875 |
transcript.pyannote[238].end |
628.54034375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
628.74284375 |
transcript.pyannote[239].end |
629.63721875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
629.83971875 |
transcript.pyannote[240].end |
631.15596875 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
629.97471875 |
transcript.pyannote[241].end |
630.24471875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
631.54409375 |
transcript.pyannote[242].end |
632.86034375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
633.02909375 |
transcript.pyannote[243].end |
637.11284375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
633.23159375 |
transcript.pyannote[244].end |
634.07534375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
637.95659375 |
transcript.pyannote[245].end |
639.74534375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
639.96471875 |
transcript.pyannote[246].end |
640.79159375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
641.14596875 |
transcript.pyannote[247].end |
642.59721875 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
643.30596875 |
transcript.pyannote[248].end |
644.63909375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
646.37721875 |
transcript.pyannote[249].end |
647.82846875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
648.13221875 |
transcript.pyannote[250].end |
648.75659375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
648.97596875 |
transcript.pyannote[251].end |
649.98846875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
650.32596875 |
transcript.pyannote[252].end |
651.08534375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
652.85721875 |
transcript.pyannote[253].end |
653.75159375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
654.44346875 |
transcript.pyannote[254].end |
655.23659375 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
655.97909375 |
transcript.pyannote[255].end |
656.38409375 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
657.07596875 |
transcript.pyannote[256].end |
657.14346875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
657.43034375 |
transcript.pyannote[257].end |
660.95721875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
660.97409375 |
transcript.pyannote[258].end |
660.99096875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
661.44659375 |
transcript.pyannote[259].end |
672.98909375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
673.47846875 |
transcript.pyannote[260].end |
675.31784375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
675.75659375 |
transcript.pyannote[261].end |
676.21221875 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
676.29659375 |
transcript.pyannote[262].end |
678.22034375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
681.02159375 |
transcript.pyannote[263].end |
683.41784375 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
683.77221875 |
transcript.pyannote[264].end |
684.41346875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
684.53159375 |
transcript.pyannote[265].end |
685.10534375 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
685.40909375 |
transcript.pyannote[266].end |
686.38784375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
686.84346875 |
transcript.pyannote[267].end |
692.54721875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
693.20534375 |
transcript.pyannote[268].end |
695.34846875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
695.68596875 |
transcript.pyannote[269].end |
699.61784375 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
700.81596875 |
transcript.pyannote[270].end |
701.84534375 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
702.16596875 |
transcript.pyannote[271].end |
702.52034375 |
transcript.pyannote[272].speaker |
SPEAKER_03 |
transcript.pyannote[272].start |
702.33471875 |
transcript.pyannote[272].end |
703.26284375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
702.53721875 |
transcript.pyannote[273].end |
702.55409375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
702.87471875 |
transcript.pyannote[274].end |
703.93784375 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
703.26284375 |
transcript.pyannote[275].end |
727.02284375 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
727.37721875 |
transcript.pyannote[276].end |
732.05159375 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
732.35534375 |
transcript.pyannote[277].end |
752.38596875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
752.38596875 |
transcript.pyannote[278].end |
757.78596875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
754.71471875 |
transcript.pyannote[279].end |
754.81596875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
758.57909375 |
transcript.pyannote[280].end |
775.43721875 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
759.86159375 |
transcript.pyannote[281].end |
760.97534375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
766.10534375 |
transcript.pyannote[282].end |
766.40909375 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
775.52159375 |
transcript.pyannote[283].end |
786.74346875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
787.38471875 |
transcript.pyannote[284].end |
789.73034375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
790.55721875 |
transcript.pyannote[285].end |
791.21534375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
792.07596875 |
transcript.pyannote[286].end |
792.70034375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
793.07159375 |
transcript.pyannote[287].end |
794.37096875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
795.36659375 |
transcript.pyannote[288].end |
802.80846875 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
803.14596875 |
transcript.pyannote[289].end |
803.90534375 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
804.85034375 |
transcript.pyannote[290].end |
806.47034375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
808.00596875 |
transcript.pyannote[291].end |
810.28409375 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
809.32221875 |
transcript.pyannote[292].end |
809.38971875 |
transcript.pyannote[293].speaker |
SPEAKER_03 |
transcript.pyannote[293].start |
809.38971875 |
transcript.pyannote[293].end |
809.64284375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
809.76096875 |
transcript.pyannote[294].end |
809.77784375 |
transcript.pyannote[295].speaker |
SPEAKER_02 |
transcript.pyannote[295].start |
809.81159375 |
transcript.pyannote[295].end |
809.84534375 |
transcript.pyannote[296].speaker |
SPEAKER_02 |
transcript.pyannote[296].start |
810.04784375 |
transcript.pyannote[296].end |
810.08159375 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
810.33471875 |
transcript.pyannote[297].end |
820.94909375 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
814.03034375 |
transcript.pyannote[298].end |
814.11471875 |
transcript.pyannote[299].speaker |
SPEAKER_03 |
transcript.pyannote[299].start |
814.21596875 |
transcript.pyannote[299].end |
814.33409375 |
transcript.pyannote[300].speaker |
SPEAKER_03 |
transcript.pyannote[300].start |
821.16846875 |
transcript.pyannote[300].end |
823.78409375 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
822.23159375 |
transcript.pyannote[301].end |
822.50159375 |
transcript.pyannote[302].speaker |
SPEAKER_03 |
transcript.pyannote[302].start |
824.07096875 |
transcript.pyannote[302].end |
825.11721875 |
transcript.pyannote[303].speaker |
SPEAKER_03 |
transcript.pyannote[303].start |
825.87659375 |
transcript.pyannote[303].end |
832.69409375 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
832.69409375 |
transcript.pyannote[304].end |
849.55221875 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
841.38471875 |
transcript.pyannote[305].end |
841.80659375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
841.80659375 |
transcript.pyannote[306].end |
841.82346875 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
842.71784375 |
transcript.pyannote[307].end |
842.97096875 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
842.97096875 |
transcript.pyannote[308].end |
843.20721875 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
851.13846875 |
transcript.pyannote[309].end |
852.23534375 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
852.48846875 |
transcript.pyannote[310].end |
860.67284375 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
855.37409375 |
transcript.pyannote[311].end |
855.39096875 |
transcript.pyannote[312].speaker |
SPEAKER_03 |
transcript.pyannote[312].start |
855.39096875 |
transcript.pyannote[312].end |
856.55534375 |
transcript.pyannote[313].speaker |
SPEAKER_03 |
transcript.pyannote[313].start |
857.97284375 |
transcript.pyannote[313].end |
858.41159375 |
transcript.pyannote[314].speaker |
SPEAKER_03 |
transcript.pyannote[314].start |
859.35659375 |
transcript.pyannote[314].end |
859.81221875 |
transcript.pyannote[315].speaker |
SPEAKER_03 |
transcript.pyannote[315].start |
861.07784375 |
transcript.pyannote[315].end |
863.37284375 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
864.14909375 |
transcript.pyannote[316].end |
866.62971875 |
transcript.pyannote[317].speaker |
SPEAKER_03 |
transcript.pyannote[317].start |
866.62971875 |
transcript.pyannote[317].end |
867.03471875 |
transcript.pyannote[318].speaker |
SPEAKER_01 |
transcript.pyannote[318].start |
866.64659375 |
transcript.pyannote[318].end |
876.58596875 |
transcript.pyannote[319].speaker |
SPEAKER_03 |
transcript.pyannote[319].start |
870.62909375 |
transcript.pyannote[319].end |
871.23659375 |
transcript.pyannote[320].speaker |
SPEAKER_03 |
transcript.pyannote[320].start |
876.46784375 |
transcript.pyannote[320].end |
877.75034375 |
transcript.pyannote[321].speaker |
SPEAKER_01 |
transcript.pyannote[321].start |
877.83471875 |
transcript.pyannote[321].end |
885.54659375 |
transcript.pyannote[322].speaker |
SPEAKER_03 |
transcript.pyannote[322].start |
878.29034375 |
transcript.pyannote[322].end |
879.06659375 |
transcript.pyannote[323].speaker |
SPEAKER_01 |
transcript.pyannote[323].start |
885.91784375 |
transcript.pyannote[323].end |
892.22909375 |
transcript.pyannote[324].speaker |
SPEAKER_03 |
transcript.pyannote[324].start |
888.06096875 |
transcript.pyannote[324].end |
888.58409375 |
transcript.pyannote[325].speaker |
SPEAKER_03 |
transcript.pyannote[325].start |
888.80346875 |
transcript.pyannote[325].end |
890.13659375 |
transcript.pyannote[326].speaker |
SPEAKER_03 |
transcript.pyannote[326].start |
890.20409375 |
transcript.pyannote[326].end |
892.09409375 |
transcript.pyannote[327].speaker |
SPEAKER_03 |
transcript.pyannote[327].start |
892.14471875 |
transcript.pyannote[327].end |
892.21221875 |
transcript.pyannote[328].speaker |
SPEAKER_03 |
transcript.pyannote[328].start |
892.22909375 |
transcript.pyannote[328].end |
892.97159375 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
892.97159375 |
transcript.pyannote[329].end |
893.96721875 |
transcript.pyannote[330].speaker |
SPEAKER_03 |
transcript.pyannote[330].start |
893.96721875 |
transcript.pyannote[330].end |
894.96284375 |
transcript.whisperx[0].start |
4.127 |
transcript.whisperx[0].end |
22.74 |
transcript.whisperx[0].text |
好謝謝主席有請部長部長你好部長你114年度送到行政院的總預算勞動部總預算案含基金total是多少2900億2900億那113年就今年是多少 |
transcript.whisperx[1].start |
32.067 |
transcript.whisperx[1].end |
42.993 |
transcript.whisperx[1].text |
我講的是案不是審查過的你是說金額嗎?對啊總預算案是多少?114是2900多億我請我的同仁來回答一下好不好那個會計處有人跟你講說是增加還是減少嗎?114對照119是114對照113是增加還是減少? |
transcript.whisperx[2].start |
55.828 |
transcript.whisperx[2].end |
61.291 |
transcript.whisperx[2].text |
委員報告我們是增加了599億多增加59億113的勞動部的預算案對照114勞動部的預算案114年有比113增加59億多是不是 |
transcript.whisperx[3].start |
78.94 |
transcript.whisperx[3].end |
89.978 |
transcript.whisperx[3].text |
是對照那個法定預算就是113年度因為預算已經通過了嗎所以我們比較是114的預算案比較113的法定預算 |
transcript.whisperx[4].start |
91.809 |
transcript.whisperx[4].end |
100.196 |
transcript.whisperx[4].text |
沒有啦所以我才講說你113的預算案是多少嘛你現在跟我講是通過的嘛對不對你這樣就太拚了2794億2794億那你114是2900多億 |
transcript.whisperx[5].start |
109.793 |
transcript.whisperx[5].end |
137.355 |
transcript.whisperx[5].text |
一一四我們是 sorry一一四預算案我們是兩千九百二十八億對啊二九二八一一四嘛對預算案是二九二八嘛那一一三勒一一三是兩千八百二千八百六十二千八百六十億左右 |
transcript.whisperx[6].start |
138.713 |
transcript.whisperx[6].end |
154.185 |
transcript.whisperx[6].text |
這算會通過的嘛對不對?還是通過的?通過啦!不是啦不是啦!1億3他剩下的沒剩就叫做他剩暗嘛對不對?我現在跟妳因為我們一百十四年都還沒剩叫做他剩暗嘛你一百十三年他剩下的是多少?兩千八百多嘛是不是?是 |
transcript.whisperx[7].start |
156.437 |
transcript.whisperx[7].end |
184.514 |
transcript.whisperx[7].text |
兩千八百六十億啦委員抱歉因為我這邊只有法定預算一一三的就就就通過的嘛你先跟我講通過了嘛對不對一一三的部分是這樣子一一三通過是二八六零二八六零兩千八百六十那你怎麼可以好意思跟我講說一一九一定大過於多過於一一八一一三一一四還一一四怎麼大過於一一三一一四就還沒有審耶你怎麼有把握還沒審啦對啦還沒通過 |
transcript.whisperx[8].start |
185.154 |
transcript.whisperx[8].end |
188.675 |
transcript.whisperx[8].text |
部長來有沒有什麼新興的預算?我們其實沒有太多新興的預算很少所以增加了59億而已還沒有審查你怎麼知道會增加59億?我們預編 |
transcript.whisperx[9].start |
211.724 |
transcript.whisperx[9].end |
234.29 |
transcript.whisperx[9].text |
憲哥預編是對照113的預算嘛是不是這樣對不對我一直強調我原本就是要問是113的預算案嘛就還沒有審查的嘛我是要看新部長來是不是有對照以前的這個那個年代是不是有增加更多預算基本上是沒有嘛甚至於你還可能會比113更少不一定因為還沒有審查嘛因為有可能被審 |
transcript.whisperx[10].start |
239.855 |
transcript.whisperx[10].end |
258.252 |
transcript.whisperx[10].text |
新部長來當然要新氣象嘛那或許有你的思維你可能在勞工的權益上你希望可以再多增加的不一樣的但是還是要火力預計的預算以前沒有編那你現在來編是增加大概是多少 |
transcript.whisperx[11].start |
258.919 |
transcript.whisperx[11].end |
287.611 |
transcript.whisperx[11].text |
我們大概比較有那個是運營流停啦今天加急補助經費38億叫去年增加9700萬這個不是新興的啦這是增加嘛這是原有的預算去增加的嘛我是說新興的項目都沒有啦我上任以後我沒有自己去新興任何項目預算啦反正就是沒有就對了啦沒有就比較不用擔心啦如果有你就會有自然生嘛因為現在預算還卡住嘛 |
transcript.whisperx[12].start |
288.391 |
transcript.whisperx[12].end |
308.323 |
transcript.whisperx[12].text |
我的意思是這樣好了謝謝委員謝謝好我們現在回過頭來看這一個事情我們來追啦部長這個報導你看一下勞動部補助違法慣患勞團欲追回款項這個很清楚齁審計部的報告勞化署就按基金在去年公告15項計畫那補助共有11205家補助88968件 |
transcript.whisperx[13].start |
314.827 |
transcript.whisperx[13].end |
319.532 |
transcript.whisperx[13].text |
共計劃出16.3億在勞動部這15項計劃裡面除了充電再出發訓練計劃外及與計劃均規範事業單位違反勞動法令這個情節重大者將不予補助 |
transcript.whisperx[14].start |
335.689 |
transcript.whisperx[14].end |
353.128 |
transcript.whisperx[14].text |
這一計畫中勞動部或勞發署對於違反勞動法令勤解重大者的這個定義沒有明確沒有明確的說明清楚但我想一般的普羅大眾都應該非常知道如果有連續違反勞動法令的事業單位那基本上這個補助資格就應該要嚴審 |
transcript.whisperx[15].start |
355.931 |
transcript.whisperx[15].end |
383.768 |
transcript.whisperx[15].text |
他會被挑戰嘛齁即便他是小錯啦但是一錯再錯一換再換這個在新華上叫擂飯嘛那擂飯的時候有時候是要加重啟醒但我們勞動部卻加重補助是在鼓勵用人民的納稅金鼓勵他們違反勞動法令所以他們怎麼犯錯沒有得到問題甚至於甚至於還加碼 |
transcript.whisperx[16].start |
385.612 |
transcript.whisperx[16].end |
397.84 |
transcript.whisperx[16].text |
我要跟你們對照明細喔如果有這件事情部長你要怎麼處理這是第一件事情那第二件事情在審計部的資料就按基金補助的事業單位中有112家已經領了將近4千萬但112家卻是從109年到111年連續3年都有違反勞動法令的紀錄 |
transcript.whisperx[17].start |
409.183 |
transcript.whisperx[17].end |
415.744 |
transcript.whisperx[17].text |
同年在111年一年內違反勞動法令三次的以上事業單位就有200家那其中5家達10次以上他們仍然還可以領到將近4898將近5000萬這些累換的事業單位將近8成在112年還在持續的違反勞動法令 |
transcript.whisperx[18].start |
438.584 |
transcript.whisperx[18].end |
466.867 |
transcript.whisperx[18].text |
部長應該很清楚嘛所以我剛剛才會講那句話說我們是拿人民大稅錢在鼓勵他們就持續做這些違反勞動法令的事情這跟我獨立現在檢討這件事要檢討這些事情是這樣嘛部長勞動部列出這些計畫這15項其中很多是針對中高齡再就業計畫這個我們都非常支持的啊對不對然後因為我們要邁入到超高齡嘛這總統一直在講嘛勞動部鼓勵壯士代再度投入職場 |
transcript.whisperx[19].start |
468.268 |
transcript.whisperx[19].end |
482.409 |
transcript.whisperx[19].text |
那我想在市場上的這個環境我們要嚴格把關不是又再再三有這種違反勞動法規的事業單位他們這樣叫做壯世代嗎?他們適合壯世代嗎?然後報導中老化署這樣回覆喔 |
transcript.whisperx[20].start |
484 |
transcript.whisperx[20].end |
500.314 |
transcript.whisperx[20].text |
勞動法令多處罰類型不一各分署審查時會注意違反勞動法令情況至於是否要定一定期限內違反次數或金額高於多少以上就不予補助能待後續討論這樣對不對 |
transcript.whisperx[21].start |
508.929 |
transcript.whisperx[21].end |
524.818 |
transcript.whisperx[21].text |
我們來檢討一個月內好不好不然就會像我講的嘛對不對我們就變相在鼓勵阿然後再來我不需要邀請部長啦違反的情節規定以及鼓勵的改善措施通通一個月內啦請部長馬上裁釋吧 |
transcript.whisperx[22].start |
527.661 |
transcript.whisperx[22].end |
539.939 |
transcript.whisperx[22].text |
一個月內當然當然好謝謝那接下來部長再看一下時間到齁這個是攸關勞工生命攸關人命的事情部長可以看這近5年來的重大旨在死亡 |
transcript.whisperx[23].start |
541.4 |
transcript.whisperx[23].end |
561.08 |
transcript.whisperx[23].text |
108到112平均差不多300人走位那營建數各位部長也可以再看一下108就168109145101371115612151差不多照著重大持災營建業已經就占了一半了部長再往下看 |
transcript.whisperx[24].start |
562.962 |
transcript.whisperx[24].end |
563.202 |
transcript.whisperx[24].text |
李卓人議員 |
transcript.whisperx[25].start |
577.452 |
transcript.whisperx[25].end |
600.817 |
transcript.whisperx[25].text |
倒塌崩塌就佔了半數以上了然後再往下一張就108年到112年墜落掉落的就是佔了將近佔比差不多50%了就48 49嘛從沒50%就一半了如果剛剛那個另外的那個加起來已經超過一半了這個如果部長 |
transcript.whisperx[26].start |
601.957 |
transcript.whisperx[26].end |
622.858 |
transcript.whisperx[26].text |
你可以有自愧的然後有魄力的去處理我們把這樣的一個會發生的因素把它降下來我們或許明年我們就可以很大聲講說勞工職災重大死亡我們可以把它壓到200人以下 |
transcript.whisperx[27].start |
625.325 |
transcript.whisperx[27].end |
644.449 |
transcript.whisperx[27].text |
就這個部分我們積極的看怎麼樣去預防怎麼去處理真的是有機會的啊你看他可以站一半嘛對不對 三八個他就站一半阿什麼藥 人間藥 人間藥阿什麼錢 什麼錢 土地希望就跌下去了嘛 塞下去嘛阿跟這跌下去跟塞下去我們讓這麼多勞工因為這樣在他的職場裡面喪失生命 |
transcript.whisperx[28].start |
652.881 |
transcript.whisperx[28].end |
677.713 |
transcript.whisperx[28].text |
沒有道理啊!沒有道理嘛!對不對?這場事件還算好嘛對不對?怎麼沒辦法來做在整個職場上的一個更積極的一個管理讓這樣的憾事不要發生我相信這些營建業他也不希望發生這種事情嘛但是他就是讓這樣的事情持續發生然後讓這樣的比例就是這麼高 |
transcript.whisperx[29].start |
681.058 |
transcript.whisperx[29].end |
699.432 |
transcript.whisperx[29].text |
那就很奇怪了啊我還要另外再講一句話那我們政府何嘗不是一樣怎麼讓這個數據維持這5年這是平均最弱掉落就是在50%我們政府怎麼讓營建業在死亡人數300人他們的占比就是占了一半以上 |
transcript.whisperx[30].start |
700.871 |
transcript.whisperx[30].end |
726.421 |
transcript.whisperx[30].text |
委員我們就是發現這個問題所以我們今天為什麼說要最後打擊最後打擊我們希望在執行過程中事業單位都要負起他管理的責任那因為管理責任我們看來目前是有點落差所以我們也希望要修治安法把這個管理責任更落實現場的隨時的監察視察巡查把最後風險控制完降落就會降低了 |
transcript.whisperx[31].start |
727.461 |
transcript.whisperx[31].end |
751.178 |
transcript.whisperx[31].text |
委員這事實在是全產業的我們營商業的墜落死亡比例是高達六成我們是非常痛心這個事情所以我們今年最後打擊年雖然剛才委員主席說是沒有辦法降到我們降百分之三十的標準但是我們會持續努力包括法規的制度跟營建署的合作就是國土署的合作如何把這個更有效做營建管理我想這是我們的關鍵了也謝謝委員今天是給我們的那個 |
transcript.whisperx[32].start |
752.459 |
transcript.whisperx[32].end |
775.079 |
transcript.whisperx[32].text |
因為剛剛我有聽到委員跟你吹詢嘛但是我覺得你那個墜落打擊就是破功了嘛對不對坦白講就這樣嘛但是部長你不能破功嘛啊我剛才跟你講說你看營建類你跟我講到六成喔對不對啊我相信營建類也不希望會發生這種事情嘛對啊啊不會發生這種事情啊為什麼持續讓它發生嘛然後比例又這麼高嘛 |
transcript.whisperx[33].start |
775.98 |
transcript.whisperx[33].end |
789.446 |
transcript.whisperx[33].text |
從人性的角度我們知道它不相發生 它就直接又發生 所以政府怎麼可以讓它也一樣跟這些業者一樣的處理方式 那就不對啊 對不對 所以我是覺得這邊阿記來 坦白講 我不覺得很大的困難耶 |
transcript.whisperx[34].start |
795.41 |
transcript.whisperx[34].end |
797.053 |
transcript.whisperx[34].text |
但是如果你連續5年都當這樣的數據維持這樣那是真的這是很嚴重的問題了 |
transcript.whisperx[35].start |
808.064 |
transcript.whisperx[35].end |
808.084 |
transcript.whisperx[35].text |
委員會議員 |
transcript.whisperx[36].start |
826.196 |
transcript.whisperx[36].end |
848.831 |
transcript.whisperx[36].text |
老建這這營建工地的這樣子檢查我想我們還有要努力的空間對我想從什麼加嚴相關標準啊還是提高法管額度啦還是強化承攬管理責任啊什麼新增了這個雲童管理的花子大大大這個大家都會講了但是到底到底你們去執行落實的情況是怎麼樣不然怎麼還有這麼多的生命因為這樣不見了 |
transcript.whisperx[37].start |
851.158 |
transcript.whisperx[37].end |
851.719 |
transcript.whisperx[37].text |
我們預備校會期送進立院 |
transcript.whisperx[38].start |
864.301 |
transcript.whisperx[38].end |
885.341 |
transcript.whisperx[38].text |
我還是請部長可以趕一下啦齁然後這個要我覺得這一塊如果趕快可以補起來我們就有效控制在就壓低到200人以下只要這一塊處理好我們來加快速度謝謝委員然後對於現在現金要去緩緩如何改善勞工在職場上墜落啦掉落的 |
transcript.whisperx[39].start |
886.042 |
transcript.whisperx[39].end |
887.724 |
transcript.whisperx[39].text |
是不是有一個報告可以給我們做參考?好 謝謝劉建國委員發言 |
會議時間 |
2024-10-16T09:00:00+08:00 |
委員發言時間 |
13:18:57 - 13:33:52 |
會議名稱 |
立法院第11屆第2會期社會福利及衛生環境委員會第4次全體委員會議(事由:邀請勞動部部長列席報告業務概況,並備質詢。
【10月16日及17日二天一次會】) |
IVOD_ID |
155615 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/155615 |
日期 |
2024-10-16 |
會議資料.會議代碼 |
委員會-11-2-26-4 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
4 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.標題 |
第11屆第2會期社會福利及衛生環境委員會第4次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-10-16T13:18:57+08:00 |
結束時間 |
2024-10-16T13:33:52+08:00 |
支援功能[0] |
ai-transcript |