IVOD_ID |
159315 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159315 |
日期 |
2025-03-18 |
會議資料.會議代碼 |
院會-11-3-5 |
會議資料.會議代碼:str |
第11屆第3會期第5次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
5 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第5次會議 |
影片種類 |
Clip |
開始時間 |
2025-03-18T17:48:55+08:00 |
結束時間 |
2025-03-18T18:19:34+08:00 |
影片長度 |
00:30:39 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1468b0c2f72abc7f7ff4fd1ce55a1504192e6bfb57ea0be4286dba9178fa551c82244cc87e3a1d295ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳雪生 |
委員發言時間 |
17:48:55 - 18:19:34 |
會議時間 |
2025-03-18T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第5次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、3月14日上午9時至10時為國是論壇時間。三、3月18日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
3.94596875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
12.11346875 |
transcript.pyannote[1].end |
13.00784375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
14.08784375 |
transcript.pyannote[2].end |
15.25221875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
16.12971875 |
transcript.pyannote[3].end |
16.58534375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
16.93971875 |
transcript.pyannote[4].end |
17.27721875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
17.53034375 |
transcript.pyannote[5].end |
19.18409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
28.24596875 |
transcript.pyannote[6].end |
32.66721875 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
28.70159375 |
transcript.pyannote[7].end |
29.34284375 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
31.92471875 |
transcript.pyannote[8].end |
32.29596875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
33.22409375 |
transcript.pyannote[9].end |
35.68784375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
36.17721875 |
transcript.pyannote[10].end |
37.20659375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
37.79721875 |
transcript.pyannote[11].end |
39.16409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
40.09221875 |
transcript.pyannote[12].end |
41.02034375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
41.27346875 |
transcript.pyannote[13].end |
41.61096875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
42.82596875 |
transcript.pyannote[14].end |
43.66971875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
44.51346875 |
transcript.pyannote[15].end |
45.55971875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
46.30221875 |
transcript.pyannote[16].end |
47.83784375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
48.39471875 |
transcript.pyannote[17].end |
51.43221875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
51.92159375 |
transcript.pyannote[18].end |
53.06909375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
53.76096875 |
transcript.pyannote[19].end |
57.76034375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
58.50284375 |
transcript.pyannote[20].end |
60.37596875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
60.88221875 |
transcript.pyannote[21].end |
62.21534375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
62.94096875 |
transcript.pyannote[22].end |
63.80159375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
64.44284375 |
transcript.pyannote[23].end |
64.99971875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
65.48909375 |
transcript.pyannote[24].end |
66.18096875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
66.80534375 |
transcript.pyannote[25].end |
67.73346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
68.57721875 |
transcript.pyannote[26].end |
69.69096875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
70.56846875 |
transcript.pyannote[27].end |
73.67346875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
74.39909375 |
transcript.pyannote[28].end |
76.74471875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
77.33534375 |
transcript.pyannote[29].end |
77.97659375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
78.44909375 |
transcript.pyannote[30].end |
79.96784375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
80.60909375 |
transcript.pyannote[31].end |
82.31346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
82.98846875 |
transcript.pyannote[32].end |
84.06846875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
85.13159375 |
transcript.pyannote[33].end |
86.66721875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
86.92034375 |
transcript.pyannote[34].end |
88.84409375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
89.38409375 |
transcript.pyannote[35].end |
91.15596875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
92.65784375 |
transcript.pyannote[36].end |
93.09659375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
93.41721875 |
transcript.pyannote[37].end |
95.64471875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
95.35784375 |
transcript.pyannote[38].end |
96.37034375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
99.18846875 |
transcript.pyannote[39].end |
104.82471875 |
transcript.pyannote[40].speaker |
SPEAKER_06 |
transcript.pyannote[40].start |
102.46221875 |
transcript.pyannote[40].end |
105.09471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
104.99346875 |
transcript.pyannote[41].end |
105.48284375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
106.15784375 |
transcript.pyannote[42].end |
108.58784375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
108.62159375 |
transcript.pyannote[43].end |
111.18659375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
111.64221875 |
transcript.pyannote[44].end |
113.88659375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
114.69659375 |
transcript.pyannote[45].end |
116.95784375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
117.97034375 |
transcript.pyannote[46].end |
119.42159375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
119.50596875 |
transcript.pyannote[47].end |
120.51846875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
121.12596875 |
transcript.pyannote[48].end |
122.59409375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
123.48846875 |
transcript.pyannote[49].end |
125.29409375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
125.85096875 |
transcript.pyannote[50].end |
127.35284375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
127.82534375 |
transcript.pyannote[51].end |
129.39471875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
129.79971875 |
transcript.pyannote[52].end |
130.99784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
131.36909375 |
transcript.pyannote[53].end |
132.09471875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
132.55034375 |
transcript.pyannote[54].end |
133.71471875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
133.96784375 |
transcript.pyannote[55].end |
136.43159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
137.10659375 |
transcript.pyannote[56].end |
139.19909375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
139.80659375 |
transcript.pyannote[57].end |
141.51096875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
142.18596875 |
transcript.pyannote[58].end |
145.35846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
145.79721875 |
transcript.pyannote[59].end |
148.29471875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
148.88534375 |
transcript.pyannote[60].end |
149.79659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
150.21846875 |
transcript.pyannote[61].end |
151.50096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
151.75409375 |
transcript.pyannote[62].end |
153.61034375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
154.01534375 |
transcript.pyannote[63].end |
156.09096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
156.49596875 |
transcript.pyannote[64].end |
157.35659375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
157.86284375 |
transcript.pyannote[65].end |
160.66409375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
161.10284375 |
transcript.pyannote[66].end |
162.43596875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
162.94221875 |
transcript.pyannote[67].end |
164.74784375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
165.05159375 |
transcript.pyannote[68].end |
167.16096875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
167.71784375 |
transcript.pyannote[69].end |
170.48534375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
170.85659375 |
transcript.pyannote[70].end |
174.61971875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
175.21034375 |
transcript.pyannote[71].end |
178.07909375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
178.61909375 |
transcript.pyannote[72].end |
180.93096875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
181.43721875 |
transcript.pyannote[73].end |
185.08221875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
185.90909375 |
transcript.pyannote[74].end |
186.70221875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
186.88784375 |
transcript.pyannote[75].end |
189.55409375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
190.16159375 |
transcript.pyannote[76].end |
191.35971875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
191.88284375 |
transcript.pyannote[77].end |
194.73471875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
195.17346875 |
transcript.pyannote[78].end |
196.72596875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
196.97909375 |
transcript.pyannote[79].end |
197.50221875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
198.19409375 |
transcript.pyannote[80].end |
200.86034375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
201.36659375 |
transcript.pyannote[81].end |
202.22721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
202.88534375 |
transcript.pyannote[82].end |
203.93159375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
203.94846875 |
transcript.pyannote[83].end |
205.04534375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
205.60221875 |
transcript.pyannote[84].end |
206.74971875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
207.30659375 |
transcript.pyannote[85].end |
208.18409375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
209.31471875 |
transcript.pyannote[86].end |
210.49596875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
210.96846875 |
transcript.pyannote[87].end |
211.91346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
212.38596875 |
transcript.pyannote[88].end |
213.76971875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
214.25909375 |
transcript.pyannote[89].end |
217.43159375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
218.05596875 |
transcript.pyannote[90].end |
218.88284375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
219.25409375 |
transcript.pyannote[91].end |
221.34659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
221.66721875 |
transcript.pyannote[92].end |
222.20721875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
223.08471875 |
transcript.pyannote[93].end |
223.69221875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
223.96221875 |
transcript.pyannote[94].end |
224.75534375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
224.87346875 |
transcript.pyannote[95].end |
225.21096875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
225.63284375 |
transcript.pyannote[96].end |
227.67471875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
227.72534375 |
transcript.pyannote[97].end |
228.46784375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
229.09221875 |
transcript.pyannote[98].end |
230.76284375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
231.26909375 |
transcript.pyannote[99].end |
232.56846875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
233.26034375 |
transcript.pyannote[100].end |
234.61034375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
235.20096875 |
transcript.pyannote[101].end |
236.12909375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
236.75346875 |
transcript.pyannote[102].end |
240.02721875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
240.34784375 |
transcript.pyannote[103].end |
240.71909375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
241.02284375 |
transcript.pyannote[104].end |
242.20409375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
242.77784375 |
transcript.pyannote[105].end |
244.66784375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
244.90409375 |
transcript.pyannote[106].end |
246.32159375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
246.82784375 |
transcript.pyannote[107].end |
247.94159375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
248.41409375 |
transcript.pyannote[108].end |
250.33784375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
250.69221875 |
transcript.pyannote[109].end |
253.24034375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
253.49346875 |
transcript.pyannote[110].end |
256.31159375 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
256.95284375 |
transcript.pyannote[111].end |
256.96971875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
256.96971875 |
transcript.pyannote[112].end |
256.98659375 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
256.98659375 |
transcript.pyannote[113].end |
259.48409375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
257.02034375 |
transcript.pyannote[114].end |
257.94846875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
259.56846875 |
transcript.pyannote[115].end |
268.56284375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
267.76971875 |
transcript.pyannote[116].end |
268.47846875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
268.56284375 |
transcript.pyannote[117].end |
268.96784375 |
transcript.pyannote[118].speaker |
SPEAKER_04 |
transcript.pyannote[118].start |
268.96784375 |
transcript.pyannote[118].end |
277.38846875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
269.27159375 |
transcript.pyannote[119].end |
269.44034375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
269.76096875 |
transcript.pyannote[120].end |
271.22909375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
272.86596875 |
transcript.pyannote[121].end |
273.03471875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
276.78096875 |
transcript.pyannote[122].end |
278.65409375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
278.94096875 |
transcript.pyannote[123].end |
281.55659375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
282.11346875 |
transcript.pyannote[124].end |
284.56034375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
284.64471875 |
transcript.pyannote[125].end |
285.97784375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
285.97784375 |
transcript.pyannote[126].end |
286.95659375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
287.54721875 |
transcript.pyannote[127].end |
289.08284375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
289.65659375 |
transcript.pyannote[128].end |
291.63096875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
293.14971875 |
transcript.pyannote[129].end |
297.16596875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
297.23346875 |
transcript.pyannote[130].end |
304.82721875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
305.62034375 |
transcript.pyannote[131].end |
315.32346875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
306.00846875 |
transcript.pyannote[132].end |
306.37971875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
313.60221875 |
transcript.pyannote[133].end |
317.04471875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
317.29784375 |
transcript.pyannote[134].end |
319.59284375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
319.99784375 |
transcript.pyannote[135].end |
321.19596875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
321.48284375 |
transcript.pyannote[136].end |
321.80346875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
322.07346875 |
transcript.pyannote[137].end |
323.59221875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
324.13221875 |
transcript.pyannote[138].end |
327.00096875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
327.33846875 |
transcript.pyannote[139].end |
329.09346875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
329.39721875 |
transcript.pyannote[140].end |
332.28284375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
332.65409375 |
transcript.pyannote[141].end |
333.41346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
333.88596875 |
transcript.pyannote[142].end |
334.62846875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
335.26971875 |
transcript.pyannote[143].end |
339.62346875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
339.72471875 |
transcript.pyannote[144].end |
342.39096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
342.98159375 |
transcript.pyannote[145].end |
346.23846875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
346.89659375 |
transcript.pyannote[146].end |
349.32659375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
349.61346875 |
transcript.pyannote[147].end |
350.35596875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
351.16596875 |
transcript.pyannote[148].end |
351.97596875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
352.34721875 |
transcript.pyannote[149].end |
353.39346875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
353.79846875 |
transcript.pyannote[150].end |
354.94596875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
355.51971875 |
transcript.pyannote[151].end |
357.37596875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
358.13534375 |
transcript.pyannote[152].end |
359.02971875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
359.24909375 |
transcript.pyannote[153].end |
360.44721875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
360.83534375 |
transcript.pyannote[154].end |
365.40846875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
366.21846875 |
transcript.pyannote[155].end |
368.44596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
368.96909375 |
transcript.pyannote[156].end |
371.04471875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
371.95596875 |
transcript.pyannote[157].end |
376.86659375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
377.17034375 |
transcript.pyannote[158].end |
378.21659375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
378.52034375 |
transcript.pyannote[159].end |
380.00534375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
380.37659375 |
transcript.pyannote[160].end |
382.43534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
382.75596875 |
transcript.pyannote[161].end |
385.15221875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
385.42221875 |
transcript.pyannote[162].end |
386.40096875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
387.05909375 |
transcript.pyannote[163].end |
388.91534375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
389.99534375 |
transcript.pyannote[164].end |
391.51409375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
391.76721875 |
transcript.pyannote[165].end |
392.05409375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
392.59409375 |
transcript.pyannote[166].end |
394.33221875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
394.80471875 |
transcript.pyannote[167].end |
395.86784375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
396.20534375 |
transcript.pyannote[168].end |
397.65659375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
398.16284375 |
transcript.pyannote[169].end |
400.22159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
400.72784375 |
transcript.pyannote[170].end |
402.24659375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
402.48284375 |
transcript.pyannote[171].end |
403.57971875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
403.83284375 |
transcript.pyannote[172].end |
404.54159375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
404.57534375 |
transcript.pyannote[173].end |
406.92096875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
407.49471875 |
transcript.pyannote[174].end |
408.72659375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
409.11471875 |
transcript.pyannote[175].end |
410.54909375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
410.71784375 |
transcript.pyannote[176].end |
411.98346875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
412.33784375 |
transcript.pyannote[177].end |
414.49784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
414.91971875 |
transcript.pyannote[178].end |
415.84784375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
416.03346875 |
transcript.pyannote[179].end |
417.43409375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
417.83909375 |
transcript.pyannote[180].end |
418.19346875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
418.48034375 |
transcript.pyannote[181].end |
423.03659375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
423.34034375 |
transcript.pyannote[182].end |
428.13284375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
428.31846875 |
transcript.pyannote[183].end |
429.43221875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
430.32659375 |
transcript.pyannote[184].end |
435.79409375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
436.06409375 |
transcript.pyannote[185].end |
438.69659375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
439.13534375 |
transcript.pyannote[186].end |
448.87221875 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
445.80096875 |
transcript.pyannote[187].end |
458.84534375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
449.31096875 |
transcript.pyannote[188].end |
449.63159375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
455.41971875 |
transcript.pyannote[189].end |
473.77971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
471.78846875 |
transcript.pyannote[190].end |
473.56034375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
474.16784375 |
transcript.pyannote[191].end |
474.20159375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
474.20159375 |
transcript.pyannote[192].end |
479.55096875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
475.02846875 |
transcript.pyannote[193].end |
475.29846875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
480.51284375 |
transcript.pyannote[194].end |
481.10346875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
481.30596875 |
transcript.pyannote[195].end |
484.15784375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
484.57971875 |
transcript.pyannote[196].end |
485.87909375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
486.62159375 |
transcript.pyannote[197].end |
489.16971875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
489.59159375 |
transcript.pyannote[198].end |
492.22409375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
492.73034375 |
transcript.pyannote[199].end |
495.68346875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
496.30784375 |
transcript.pyannote[200].end |
499.12596875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
499.42971875 |
transcript.pyannote[201].end |
500.91471875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
501.20159375 |
transcript.pyannote[202].end |
502.80471875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
503.09159375 |
transcript.pyannote[203].end |
504.49221875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
504.82971875 |
transcript.pyannote[204].end |
505.62284375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
505.92659375 |
transcript.pyannote[205].end |
506.85471875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
507.24284375 |
transcript.pyannote[206].end |
508.10346875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
508.59284375 |
transcript.pyannote[207].end |
509.92596875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
510.33096875 |
transcript.pyannote[208].end |
513.25034375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
513.84096875 |
transcript.pyannote[209].end |
515.30909375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
515.83221875 |
transcript.pyannote[210].end |
517.41846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
518.02596875 |
transcript.pyannote[211].end |
521.08034375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
521.26596875 |
transcript.pyannote[212].end |
524.30346875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
525.46784375 |
transcript.pyannote[213].end |
532.16721875 |
transcript.pyannote[214].speaker |
SPEAKER_04 |
transcript.pyannote[214].start |
525.61971875 |
transcript.pyannote[214].end |
525.99096875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
532.47096875 |
transcript.pyannote[215].end |
535.05284375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
535.28909375 |
transcript.pyannote[216].end |
537.49971875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
538.05659375 |
transcript.pyannote[217].end |
539.77784375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
540.21659375 |
transcript.pyannote[218].end |
542.00534375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
542.37659375 |
transcript.pyannote[219].end |
543.91221875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
544.45221875 |
transcript.pyannote[220].end |
547.03409375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
547.54034375 |
transcript.pyannote[221].end |
548.73846875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
549.14346875 |
transcript.pyannote[222].end |
550.91534375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
551.15159375 |
transcript.pyannote[223].end |
552.43409375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
553.04159375 |
transcript.pyannote[224].end |
557.90159375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
558.18846875 |
transcript.pyannote[225].end |
559.50471875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
559.96034375 |
transcript.pyannote[226].end |
561.66471875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
562.10346875 |
transcript.pyannote[227].end |
564.90471875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
565.59659375 |
transcript.pyannote[228].end |
567.35159375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
568.14471875 |
transcript.pyannote[229].end |
571.57034375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
572.05971875 |
transcript.pyannote[230].end |
576.19409375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
576.58221875 |
transcript.pyannote[231].end |
579.23159375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
579.58596875 |
transcript.pyannote[232].end |
580.15971875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
580.41284375 |
transcript.pyannote[233].end |
583.99034375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
584.37846875 |
transcript.pyannote[234].end |
586.03221875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
586.35284375 |
transcript.pyannote[235].end |
588.66471875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
589.06971875 |
transcript.pyannote[236].end |
590.77409375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
591.14534375 |
transcript.pyannote[237].end |
594.26721875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
594.68909375 |
transcript.pyannote[238].end |
597.49034375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
597.89534375 |
transcript.pyannote[239].end |
599.14409375 |
transcript.pyannote[240].speaker |
SPEAKER_04 |
transcript.pyannote[240].start |
600.15659375 |
transcript.pyannote[240].end |
600.73034375 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
600.73034375 |
transcript.pyannote[241].end |
600.84846875 |
transcript.pyannote[242].speaker |
SPEAKER_04 |
transcript.pyannote[242].start |
600.84846875 |
transcript.pyannote[242].end |
600.88221875 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
600.98346875 |
transcript.pyannote[243].end |
607.71659375 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
607.96971875 |
transcript.pyannote[244].end |
624.57471875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
624.57471875 |
transcript.pyannote[245].end |
625.50284375 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
625.50284375 |
transcript.pyannote[246].end |
625.72221875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
625.72221875 |
transcript.pyannote[247].end |
627.29159375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
627.67971875 |
transcript.pyannote[248].end |
628.86096875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
628.94534375 |
transcript.pyannote[249].end |
637.77096875 |
transcript.pyannote[250].speaker |
SPEAKER_03 |
transcript.pyannote[250].start |
631.15596875 |
transcript.pyannote[250].end |
632.97846875 |
transcript.pyannote[251].speaker |
SPEAKER_06 |
transcript.pyannote[251].start |
632.97846875 |
transcript.pyannote[251].end |
633.97409375 |
transcript.pyannote[252].speaker |
SPEAKER_03 |
transcript.pyannote[252].start |
633.97409375 |
transcript.pyannote[252].end |
634.61534375 |
transcript.pyannote[253].speaker |
SPEAKER_06 |
transcript.pyannote[253].start |
634.61534375 |
transcript.pyannote[253].end |
634.85159375 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
635.59409375 |
transcript.pyannote[254].end |
636.03284375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
636.40409375 |
transcript.pyannote[255].end |
636.65721875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
638.31096875 |
transcript.pyannote[256].end |
644.16659375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
644.47034375 |
transcript.pyannote[257].end |
646.30971875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
646.68096875 |
transcript.pyannote[258].end |
649.51596875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
649.93784375 |
transcript.pyannote[259].end |
651.16971875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
651.82784375 |
transcript.pyannote[260].end |
654.05534375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
654.17346875 |
transcript.pyannote[261].end |
657.32909375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
657.66659375 |
transcript.pyannote[262].end |
659.16846875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
659.59034375 |
transcript.pyannote[263].end |
662.15534375 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
662.67846875 |
transcript.pyannote[264].end |
664.12971875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
664.75409375 |
transcript.pyannote[265].end |
666.66096875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
667.18409375 |
transcript.pyannote[266].end |
669.05721875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
669.54659375 |
transcript.pyannote[267].end |
673.41096875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
673.76534375 |
transcript.pyannote[268].end |
675.72284375 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
676.49909375 |
transcript.pyannote[269].end |
677.79846875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
678.28784375 |
transcript.pyannote[270].end |
680.32971875 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
680.85284375 |
transcript.pyannote[271].end |
684.46409375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
684.93659375 |
transcript.pyannote[272].end |
688.48034375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
689.03721875 |
transcript.pyannote[273].end |
692.02409375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
692.56409375 |
transcript.pyannote[274].end |
694.01534375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
694.47096875 |
transcript.pyannote[275].end |
695.68596875 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
696.24284375 |
transcript.pyannote[276].end |
698.41971875 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
699.16221875 |
transcript.pyannote[277].end |
700.34346875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
700.74846875 |
transcript.pyannote[278].end |
702.26721875 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
702.41909375 |
transcript.pyannote[279].end |
707.58284375 |
transcript.pyannote[280].speaker |
SPEAKER_03 |
transcript.pyannote[280].start |
707.63346875 |
transcript.pyannote[280].end |
720.84659375 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
720.84659375 |
transcript.pyannote[281].end |
724.71096875 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
725.20034375 |
transcript.pyannote[282].end |
728.60909375 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
729.16596875 |
transcript.pyannote[283].end |
732.54096875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
733.08096875 |
transcript.pyannote[284].end |
736.65846875 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
737.02971875 |
transcript.pyannote[285].end |
739.84784375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
740.37096875 |
transcript.pyannote[286].end |
753.97221875 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
748.90971875 |
transcript.pyannote[287].end |
749.02784375 |
transcript.pyannote[288].speaker |
SPEAKER_04 |
transcript.pyannote[288].start |
749.02784375 |
transcript.pyannote[288].end |
749.87159375 |
transcript.pyannote[289].speaker |
SPEAKER_04 |
transcript.pyannote[289].start |
750.12471875 |
transcript.pyannote[289].end |
750.54659375 |
transcript.pyannote[290].speaker |
SPEAKER_04 |
transcript.pyannote[290].start |
753.97221875 |
transcript.pyannote[290].end |
753.98909375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
753.98909375 |
transcript.pyannote[291].end |
754.03971875 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
754.41096875 |
transcript.pyannote[292].end |
754.96784375 |
transcript.pyannote[293].speaker |
SPEAKER_04 |
transcript.pyannote[293].start |
754.96784375 |
transcript.pyannote[293].end |
755.03534375 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
755.03534375 |
transcript.pyannote[294].end |
755.23784375 |
transcript.pyannote[295].speaker |
SPEAKER_04 |
transcript.pyannote[295].start |
755.23784375 |
transcript.pyannote[295].end |
755.92971875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
755.92971875 |
transcript.pyannote[296].end |
755.96346875 |
transcript.pyannote[297].speaker |
SPEAKER_04 |
transcript.pyannote[297].start |
755.96346875 |
transcript.pyannote[297].end |
756.03096875 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
756.03096875 |
transcript.pyannote[298].end |
756.16596875 |
transcript.pyannote[299].speaker |
SPEAKER_04 |
transcript.pyannote[299].start |
756.16596875 |
transcript.pyannote[299].end |
756.18284375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
756.18284375 |
transcript.pyannote[300].end |
756.23346875 |
transcript.pyannote[301].speaker |
SPEAKER_04 |
transcript.pyannote[301].start |
756.23346875 |
transcript.pyannote[301].end |
756.30096875 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
756.30096875 |
transcript.pyannote[302].end |
756.31784375 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
756.40221875 |
transcript.pyannote[303].end |
756.97596875 |
transcript.pyannote[304].speaker |
SPEAKER_04 |
transcript.pyannote[304].start |
756.97596875 |
transcript.pyannote[304].end |
757.02659375 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
757.02659375 |
transcript.pyannote[305].end |
757.97159375 |
transcript.pyannote[306].speaker |
SPEAKER_04 |
transcript.pyannote[306].start |
757.97159375 |
transcript.pyannote[306].end |
758.03909375 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
758.03909375 |
transcript.pyannote[307].end |
760.23284375 |
transcript.pyannote[308].speaker |
SPEAKER_04 |
transcript.pyannote[308].start |
759.18659375 |
transcript.pyannote[308].end |
760.92471875 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
760.92471875 |
transcript.pyannote[309].end |
760.99221875 |
transcript.pyannote[310].speaker |
SPEAKER_04 |
transcript.pyannote[310].start |
760.99221875 |
transcript.pyannote[310].end |
761.07659375 |
transcript.pyannote[311].speaker |
SPEAKER_04 |
transcript.pyannote[311].start |
761.16096875 |
transcript.pyannote[311].end |
761.43096875 |
transcript.pyannote[312].speaker |
SPEAKER_01 |
transcript.pyannote[312].start |
761.43096875 |
transcript.pyannote[312].end |
765.61596875 |
transcript.pyannote[313].speaker |
SPEAKER_01 |
transcript.pyannote[313].start |
766.20659375 |
transcript.pyannote[313].end |
767.25284375 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
767.89409375 |
transcript.pyannote[314].end |
770.50971875 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
771.15096875 |
transcript.pyannote[315].end |
773.81721875 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
774.72846875 |
transcript.pyannote[316].end |
777.15846875 |
transcript.pyannote[317].speaker |
SPEAKER_01 |
transcript.pyannote[317].start |
777.32721875 |
transcript.pyannote[317].end |
779.01471875 |
transcript.pyannote[318].speaker |
SPEAKER_01 |
transcript.pyannote[318].start |
779.62221875 |
transcript.pyannote[318].end |
782.37284375 |
transcript.pyannote[319].speaker |
SPEAKER_01 |
transcript.pyannote[319].start |
782.67659375 |
transcript.pyannote[319].end |
784.92096875 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
785.46096875 |
transcript.pyannote[320].end |
788.58284375 |
transcript.pyannote[321].speaker |
SPEAKER_04 |
transcript.pyannote[321].start |
788.68409375 |
transcript.pyannote[321].end |
790.27034375 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
790.27034375 |
transcript.pyannote[322].end |
791.11409375 |
transcript.pyannote[323].speaker |
SPEAKER_04 |
transcript.pyannote[323].start |
790.30409375 |
transcript.pyannote[323].end |
790.35471875 |
transcript.pyannote[324].speaker |
SPEAKER_01 |
transcript.pyannote[324].start |
791.40096875 |
transcript.pyannote[324].end |
794.70846875 |
transcript.pyannote[325].speaker |
SPEAKER_01 |
transcript.pyannote[325].start |
794.96159375 |
transcript.pyannote[325].end |
796.53096875 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
797.20596875 |
transcript.pyannote[326].end |
799.43346875 |
transcript.pyannote[327].speaker |
SPEAKER_01 |
transcript.pyannote[327].start |
799.99034375 |
transcript.pyannote[327].end |
802.94346875 |
transcript.pyannote[328].speaker |
SPEAKER_01 |
transcript.pyannote[328].start |
803.28096875 |
transcript.pyannote[328].end |
803.68596875 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
804.61409375 |
transcript.pyannote[329].end |
806.50409375 |
transcript.pyannote[330].speaker |
SPEAKER_01 |
transcript.pyannote[330].start |
807.14534375 |
transcript.pyannote[330].end |
807.90471875 |
transcript.pyannote[331].speaker |
SPEAKER_01 |
transcript.pyannote[331].start |
808.57971875 |
transcript.pyannote[331].end |
811.34721875 |
transcript.pyannote[332].speaker |
SPEAKER_01 |
transcript.pyannote[332].start |
812.07284375 |
transcript.pyannote[332].end |
813.79409375 |
transcript.pyannote[333].speaker |
SPEAKER_01 |
transcript.pyannote[333].start |
814.19909375 |
transcript.pyannote[333].end |
816.39284375 |
transcript.pyannote[334].speaker |
SPEAKER_01 |
transcript.pyannote[334].start |
816.84846875 |
transcript.pyannote[334].end |
818.65409375 |
transcript.pyannote[335].speaker |
SPEAKER_01 |
transcript.pyannote[335].start |
820.62846875 |
transcript.pyannote[335].end |
822.21471875 |
transcript.pyannote[336].speaker |
SPEAKER_01 |
transcript.pyannote[336].start |
822.67034375 |
transcript.pyannote[336].end |
825.35346875 |
transcript.pyannote[337].speaker |
SPEAKER_01 |
transcript.pyannote[337].start |
826.11284375 |
transcript.pyannote[337].end |
829.13346875 |
transcript.pyannote[338].speaker |
SPEAKER_01 |
transcript.pyannote[338].start |
830.04471875 |
transcript.pyannote[338].end |
832.44096875 |
transcript.pyannote[339].speaker |
SPEAKER_01 |
transcript.pyannote[339].start |
833.06534375 |
transcript.pyannote[339].end |
835.19159375 |
transcript.pyannote[340].speaker |
SPEAKER_01 |
transcript.pyannote[340].start |
835.63034375 |
transcript.pyannote[340].end |
839.00534375 |
transcript.pyannote[341].speaker |
SPEAKER_01 |
transcript.pyannote[341].start |
839.52846875 |
transcript.pyannote[341].end |
841.40159375 |
transcript.pyannote[342].speaker |
SPEAKER_01 |
transcript.pyannote[342].start |
842.32971875 |
transcript.pyannote[342].end |
845.11409375 |
transcript.pyannote[343].speaker |
SPEAKER_01 |
transcript.pyannote[343].start |
845.31659375 |
transcript.pyannote[343].end |
847.45971875 |
transcript.pyannote[344].speaker |
SPEAKER_01 |
transcript.pyannote[344].start |
848.26971875 |
transcript.pyannote[344].end |
849.19784375 |
transcript.pyannote[345].speaker |
SPEAKER_01 |
transcript.pyannote[345].start |
849.41721875 |
transcript.pyannote[345].end |
850.69971875 |
transcript.pyannote[346].speaker |
SPEAKER_01 |
transcript.pyannote[346].start |
851.10471875 |
transcript.pyannote[346].end |
852.48846875 |
transcript.pyannote[347].speaker |
SPEAKER_01 |
transcript.pyannote[347].start |
852.82596875 |
transcript.pyannote[347].end |
854.80034375 |
transcript.pyannote[348].speaker |
SPEAKER_01 |
transcript.pyannote[348].start |
855.28971875 |
transcript.pyannote[348].end |
861.56721875 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
861.60096875 |
transcript.pyannote[349].end |
863.74409375 |
transcript.pyannote[350].speaker |
SPEAKER_01 |
transcript.pyannote[350].start |
864.35159375 |
transcript.pyannote[350].end |
867.79409375 |
transcript.pyannote[351].speaker |
SPEAKER_01 |
transcript.pyannote[351].start |
868.01346875 |
transcript.pyannote[351].end |
871.01721875 |
transcript.pyannote[352].speaker |
SPEAKER_01 |
transcript.pyannote[352].start |
871.42221875 |
transcript.pyannote[352].end |
875.91096875 |
transcript.pyannote[353].speaker |
SPEAKER_01 |
transcript.pyannote[353].start |
876.50159375 |
transcript.pyannote[353].end |
878.15534375 |
transcript.pyannote[354].speaker |
SPEAKER_01 |
transcript.pyannote[354].start |
878.59409375 |
transcript.pyannote[354].end |
879.97784375 |
transcript.pyannote[355].speaker |
SPEAKER_01 |
transcript.pyannote[355].start |
880.70346875 |
transcript.pyannote[355].end |
882.76221875 |
transcript.pyannote[356].speaker |
SPEAKER_01 |
transcript.pyannote[356].start |
883.50471875 |
transcript.pyannote[356].end |
887.28471875 |
transcript.pyannote[357].speaker |
SPEAKER_01 |
transcript.pyannote[357].start |
887.97659375 |
transcript.pyannote[357].end |
890.27159375 |
transcript.pyannote[358].speaker |
SPEAKER_01 |
transcript.pyannote[358].start |
890.81159375 |
transcript.pyannote[358].end |
892.53284375 |
transcript.pyannote[359].speaker |
SPEAKER_01 |
transcript.pyannote[359].start |
893.02221875 |
transcript.pyannote[359].end |
897.29159375 |
transcript.pyannote[360].speaker |
SPEAKER_01 |
transcript.pyannote[360].start |
897.54471875 |
transcript.pyannote[360].end |
900.41346875 |
transcript.pyannote[361].speaker |
SPEAKER_01 |
transcript.pyannote[361].start |
900.97034375 |
transcript.pyannote[361].end |
904.59846875 |
transcript.pyannote[362].speaker |
SPEAKER_01 |
transcript.pyannote[362].start |
905.67846875 |
transcript.pyannote[362].end |
909.81284375 |
transcript.pyannote[363].speaker |
SPEAKER_01 |
transcript.pyannote[363].start |
910.20096875 |
transcript.pyannote[363].end |
912.14159375 |
transcript.pyannote[364].speaker |
SPEAKER_01 |
transcript.pyannote[364].start |
912.61409375 |
transcript.pyannote[364].end |
914.84159375 |
transcript.pyannote[365].speaker |
SPEAKER_01 |
transcript.pyannote[365].start |
915.78659375 |
transcript.pyannote[365].end |
917.45721875 |
transcript.pyannote[366].speaker |
SPEAKER_01 |
transcript.pyannote[366].start |
917.96346875 |
transcript.pyannote[366].end |
920.37659375 |
transcript.pyannote[367].speaker |
SPEAKER_01 |
transcript.pyannote[367].start |
920.86596875 |
transcript.pyannote[367].end |
924.32534375 |
transcript.pyannote[368].speaker |
SPEAKER_01 |
transcript.pyannote[368].start |
924.69659375 |
transcript.pyannote[368].end |
929.45534375 |
transcript.pyannote[369].speaker |
SPEAKER_01 |
transcript.pyannote[369].start |
930.04596875 |
transcript.pyannote[369].end |
932.50971875 |
transcript.pyannote[370].speaker |
SPEAKER_01 |
transcript.pyannote[370].start |
932.93159375 |
transcript.pyannote[370].end |
937.45409375 |
transcript.pyannote[371].speaker |
SPEAKER_01 |
transcript.pyannote[371].start |
937.85909375 |
transcript.pyannote[371].end |
942.51659375 |
transcript.pyannote[372].speaker |
SPEAKER_01 |
transcript.pyannote[372].start |
943.14096875 |
transcript.pyannote[372].end |
944.01846875 |
transcript.pyannote[373].speaker |
SPEAKER_01 |
transcript.pyannote[373].start |
945.57096875 |
transcript.pyannote[373].end |
945.60471875 |
transcript.pyannote[374].speaker |
SPEAKER_00 |
transcript.pyannote[374].start |
945.60471875 |
transcript.pyannote[374].end |
946.27971875 |
transcript.pyannote[375].speaker |
SPEAKER_01 |
transcript.pyannote[375].start |
946.92096875 |
transcript.pyannote[375].end |
946.95471875 |
transcript.pyannote[376].speaker |
SPEAKER_00 |
transcript.pyannote[376].start |
946.95471875 |
transcript.pyannote[376].end |
948.28784375 |
transcript.pyannote[377].speaker |
SPEAKER_00 |
transcript.pyannote[377].start |
948.70971875 |
transcript.pyannote[377].end |
954.27846875 |
transcript.pyannote[378].speaker |
SPEAKER_00 |
transcript.pyannote[378].start |
954.58221875 |
transcript.pyannote[378].end |
959.57721875 |
transcript.pyannote[379].speaker |
SPEAKER_00 |
transcript.pyannote[379].start |
960.30284375 |
transcript.pyannote[379].end |
963.03659375 |
transcript.pyannote[380].speaker |
SPEAKER_00 |
transcript.pyannote[380].start |
963.22221875 |
transcript.pyannote[380].end |
965.28096875 |
transcript.pyannote[381].speaker |
SPEAKER_00 |
transcript.pyannote[381].start |
965.63534375 |
transcript.pyannote[381].end |
967.10346875 |
transcript.pyannote[382].speaker |
SPEAKER_00 |
transcript.pyannote[382].start |
967.77846875 |
transcript.pyannote[382].end |
968.62221875 |
transcript.pyannote[383].speaker |
SPEAKER_00 |
transcript.pyannote[383].start |
968.85846875 |
transcript.pyannote[383].end |
971.60909375 |
transcript.pyannote[384].speaker |
SPEAKER_00 |
transcript.pyannote[384].start |
972.40221875 |
transcript.pyannote[384].end |
983.53971875 |
transcript.pyannote[385].speaker |
SPEAKER_01 |
transcript.pyannote[385].start |
975.18659375 |
transcript.pyannote[385].end |
976.14846875 |
transcript.pyannote[386].speaker |
SPEAKER_01 |
transcript.pyannote[386].start |
976.67159375 |
transcript.pyannote[386].end |
977.19471875 |
transcript.pyannote[387].speaker |
SPEAKER_00 |
transcript.pyannote[387].start |
984.50159375 |
transcript.pyannote[387].end |
988.07909375 |
transcript.pyannote[388].speaker |
SPEAKER_00 |
transcript.pyannote[388].start |
988.33221875 |
transcript.pyannote[388].end |
991.67346875 |
transcript.pyannote[389].speaker |
SPEAKER_00 |
transcript.pyannote[389].start |
992.28096875 |
transcript.pyannote[389].end |
994.15409375 |
transcript.pyannote[390].speaker |
SPEAKER_00 |
transcript.pyannote[390].start |
994.91346875 |
transcript.pyannote[390].end |
998.45721875 |
transcript.pyannote[391].speaker |
SPEAKER_00 |
transcript.pyannote[391].start |
998.72721875 |
transcript.pyannote[391].end |
1000.11096875 |
transcript.pyannote[392].speaker |
SPEAKER_00 |
transcript.pyannote[392].start |
1000.12784375 |
transcript.pyannote[392].end |
1003.16534375 |
transcript.pyannote[393].speaker |
SPEAKER_00 |
transcript.pyannote[393].start |
1003.57034375 |
transcript.pyannote[393].end |
1008.83534375 |
transcript.pyannote[394].speaker |
SPEAKER_00 |
transcript.pyannote[394].start |
1009.25721875 |
transcript.pyannote[394].end |
1010.26971875 |
transcript.pyannote[395].speaker |
SPEAKER_00 |
transcript.pyannote[395].start |
1010.42159375 |
transcript.pyannote[395].end |
1013.13846875 |
transcript.pyannote[396].speaker |
SPEAKER_01 |
transcript.pyannote[396].start |
1012.09221875 |
transcript.pyannote[396].end |
1018.50471875 |
transcript.pyannote[397].speaker |
SPEAKER_01 |
transcript.pyannote[397].start |
1018.80846875 |
transcript.pyannote[397].end |
1021.06971875 |
transcript.pyannote[398].speaker |
SPEAKER_01 |
transcript.pyannote[398].start |
1021.40721875 |
transcript.pyannote[398].end |
1024.96784375 |
transcript.pyannote[399].speaker |
SPEAKER_00 |
transcript.pyannote[399].start |
1021.45784375 |
transcript.pyannote[399].end |
1027.87034375 |
transcript.pyannote[400].speaker |
SPEAKER_00 |
transcript.pyannote[400].start |
1027.92096875 |
transcript.pyannote[400].end |
1041.06659375 |
transcript.pyannote[401].speaker |
SPEAKER_01 |
transcript.pyannote[401].start |
1035.21096875 |
transcript.pyannote[401].end |
1037.67471875 |
transcript.pyannote[402].speaker |
SPEAKER_01 |
transcript.pyannote[402].start |
1041.13409375 |
transcript.pyannote[402].end |
1041.84284375 |
transcript.pyannote[403].speaker |
SPEAKER_00 |
transcript.pyannote[403].start |
1041.84284375 |
transcript.pyannote[403].end |
1042.28159375 |
transcript.pyannote[404].speaker |
SPEAKER_01 |
transcript.pyannote[404].start |
1043.20971875 |
transcript.pyannote[404].end |
1045.15034375 |
transcript.pyannote[405].speaker |
SPEAKER_06 |
transcript.pyannote[405].start |
1045.72409375 |
transcript.pyannote[405].end |
1046.01096875 |
transcript.pyannote[406].speaker |
SPEAKER_01 |
transcript.pyannote[406].start |
1045.94346875 |
transcript.pyannote[406].end |
1048.25534375 |
transcript.pyannote[407].speaker |
SPEAKER_01 |
transcript.pyannote[407].start |
1049.01471875 |
transcript.pyannote[407].end |
1050.58409375 |
transcript.pyannote[408].speaker |
SPEAKER_01 |
transcript.pyannote[408].start |
1051.51221875 |
transcript.pyannote[408].end |
1052.64284375 |
transcript.pyannote[409].speaker |
SPEAKER_01 |
transcript.pyannote[409].start |
1052.72721875 |
transcript.pyannote[409].end |
1055.22471875 |
transcript.pyannote[410].speaker |
SPEAKER_01 |
transcript.pyannote[410].start |
1055.61284375 |
transcript.pyannote[410].end |
1056.42284375 |
transcript.pyannote[411].speaker |
SPEAKER_01 |
transcript.pyannote[411].start |
1057.06409375 |
transcript.pyannote[411].end |
1059.08909375 |
transcript.pyannote[412].speaker |
SPEAKER_01 |
transcript.pyannote[412].start |
1059.89909375 |
transcript.pyannote[412].end |
1061.09721875 |
transcript.pyannote[413].speaker |
SPEAKER_01 |
transcript.pyannote[413].start |
1062.31221875 |
transcript.pyannote[413].end |
1064.25284375 |
transcript.pyannote[414].speaker |
SPEAKER_01 |
transcript.pyannote[414].start |
1065.07971875 |
transcript.pyannote[414].end |
1066.95284375 |
transcript.pyannote[415].speaker |
SPEAKER_01 |
transcript.pyannote[415].start |
1067.93159375 |
transcript.pyannote[415].end |
1070.41221875 |
transcript.pyannote[416].speaker |
SPEAKER_01 |
transcript.pyannote[416].start |
1070.59784375 |
transcript.pyannote[416].end |
1071.89721875 |
transcript.pyannote[417].speaker |
SPEAKER_01 |
transcript.pyannote[417].start |
1072.47096875 |
transcript.pyannote[417].end |
1076.09909375 |
transcript.pyannote[418].speaker |
SPEAKER_01 |
transcript.pyannote[418].start |
1076.68971875 |
transcript.pyannote[418].end |
1077.70221875 |
transcript.pyannote[419].speaker |
SPEAKER_01 |
transcript.pyannote[419].start |
1078.20846875 |
transcript.pyannote[419].end |
1080.58784375 |
transcript.pyannote[420].speaker |
SPEAKER_01 |
transcript.pyannote[420].start |
1080.95909375 |
transcript.pyannote[420].end |
1082.57909375 |
transcript.pyannote[421].speaker |
SPEAKER_01 |
transcript.pyannote[421].start |
1082.74784375 |
transcript.pyannote[421].end |
1083.92909375 |
transcript.pyannote[422].speaker |
SPEAKER_01 |
transcript.pyannote[422].start |
1084.60409375 |
transcript.pyannote[422].end |
1088.58659375 |
transcript.pyannote[423].speaker |
SPEAKER_01 |
transcript.pyannote[423].start |
1089.21096875 |
transcript.pyannote[423].end |
1092.67034375 |
transcript.pyannote[424].speaker |
SPEAKER_01 |
transcript.pyannote[424].start |
1093.27784375 |
transcript.pyannote[424].end |
1096.12971875 |
transcript.pyannote[425].speaker |
SPEAKER_01 |
transcript.pyannote[425].start |
1096.83846875 |
transcript.pyannote[425].end |
1098.96471875 |
transcript.pyannote[426].speaker |
SPEAKER_01 |
transcript.pyannote[426].start |
1099.72409375 |
transcript.pyannote[426].end |
1104.33096875 |
transcript.pyannote[427].speaker |
SPEAKER_01 |
transcript.pyannote[427].start |
1104.68534375 |
transcript.pyannote[427].end |
1106.18721875 |
transcript.pyannote[428].speaker |
SPEAKER_01 |
transcript.pyannote[428].start |
1106.64284375 |
transcript.pyannote[428].end |
1107.70596875 |
transcript.pyannote[429].speaker |
SPEAKER_01 |
transcript.pyannote[429].start |
1108.27971875 |
transcript.pyannote[429].end |
1110.76034375 |
transcript.pyannote[430].speaker |
SPEAKER_01 |
transcript.pyannote[430].start |
1111.38471875 |
transcript.pyannote[430].end |
1113.59534375 |
transcript.pyannote[431].speaker |
SPEAKER_01 |
transcript.pyannote[431].start |
1114.16909375 |
transcript.pyannote[431].end |
1115.09721875 |
transcript.pyannote[432].speaker |
SPEAKER_01 |
transcript.pyannote[432].start |
1115.83971875 |
transcript.pyannote[432].end |
1116.14346875 |
transcript.pyannote[433].speaker |
SPEAKER_01 |
transcript.pyannote[433].start |
1116.88596875 |
transcript.pyannote[433].end |
1118.13471875 |
transcript.pyannote[434].speaker |
SPEAKER_01 |
transcript.pyannote[434].start |
1119.24846875 |
transcript.pyannote[434].end |
1120.48034375 |
transcript.pyannote[435].speaker |
SPEAKER_01 |
transcript.pyannote[435].start |
1121.27346875 |
transcript.pyannote[435].end |
1122.38721875 |
transcript.pyannote[436].speaker |
SPEAKER_01 |
transcript.pyannote[436].start |
1122.48846875 |
transcript.pyannote[436].end |
1123.29846875 |
transcript.pyannote[437].speaker |
SPEAKER_01 |
transcript.pyannote[437].start |
1126.26846875 |
transcript.pyannote[437].end |
1127.09534375 |
transcript.pyannote[438].speaker |
SPEAKER_01 |
transcript.pyannote[438].start |
1127.38221875 |
transcript.pyannote[438].end |
1129.79534375 |
transcript.pyannote[439].speaker |
SPEAKER_01 |
transcript.pyannote[439].start |
1130.36909375 |
transcript.pyannote[439].end |
1132.19159375 |
transcript.pyannote[440].speaker |
SPEAKER_01 |
transcript.pyannote[440].start |
1132.96784375 |
transcript.pyannote[440].end |
1134.70596875 |
transcript.pyannote[441].speaker |
SPEAKER_01 |
transcript.pyannote[441].start |
1135.12784375 |
transcript.pyannote[441].end |
1137.27096875 |
transcript.pyannote[442].speaker |
SPEAKER_01 |
transcript.pyannote[442].start |
1137.72659375 |
transcript.pyannote[442].end |
1143.85221875 |
transcript.pyannote[443].speaker |
SPEAKER_01 |
transcript.pyannote[443].start |
1144.24034375 |
transcript.pyannote[443].end |
1146.45096875 |
transcript.pyannote[444].speaker |
SPEAKER_01 |
transcript.pyannote[444].start |
1147.00784375 |
transcript.pyannote[444].end |
1149.47159375 |
transcript.pyannote[445].speaker |
SPEAKER_01 |
transcript.pyannote[445].start |
1150.11284375 |
transcript.pyannote[445].end |
1151.95221875 |
transcript.pyannote[446].speaker |
SPEAKER_01 |
transcript.pyannote[446].start |
1152.40784375 |
transcript.pyannote[446].end |
1152.76221875 |
transcript.pyannote[447].speaker |
SPEAKER_01 |
transcript.pyannote[447].start |
1153.15034375 |
transcript.pyannote[447].end |
1157.23409375 |
transcript.pyannote[448].speaker |
SPEAKER_01 |
transcript.pyannote[448].start |
1157.79096875 |
transcript.pyannote[448].end |
1159.51221875 |
transcript.pyannote[449].speaker |
SPEAKER_01 |
transcript.pyannote[449].start |
1160.15346875 |
transcript.pyannote[449].end |
1162.26284375 |
transcript.pyannote[450].speaker |
SPEAKER_01 |
transcript.pyannote[450].start |
1162.61721875 |
transcript.pyannote[450].end |
1163.78159375 |
transcript.pyannote[451].speaker |
SPEAKER_01 |
transcript.pyannote[451].start |
1164.37221875 |
transcript.pyannote[451].end |
1165.23284375 |
transcript.pyannote[452].speaker |
SPEAKER_01 |
transcript.pyannote[452].start |
1165.80659375 |
transcript.pyannote[452].end |
1167.25784375 |
transcript.pyannote[453].speaker |
SPEAKER_01 |
transcript.pyannote[453].start |
1167.76409375 |
transcript.pyannote[453].end |
1168.21971875 |
transcript.pyannote[454].speaker |
SPEAKER_01 |
transcript.pyannote[454].start |
1168.57409375 |
transcript.pyannote[454].end |
1170.36284375 |
transcript.pyannote[455].speaker |
SPEAKER_01 |
transcript.pyannote[455].start |
1171.51034375 |
transcript.pyannote[455].end |
1172.87721875 |
transcript.pyannote[456].speaker |
SPEAKER_01 |
transcript.pyannote[456].start |
1173.41721875 |
transcript.pyannote[456].end |
1176.42096875 |
transcript.pyannote[457].speaker |
SPEAKER_01 |
transcript.pyannote[457].start |
1177.06221875 |
transcript.pyannote[457].end |
1179.34034375 |
transcript.pyannote[458].speaker |
SPEAKER_01 |
transcript.pyannote[458].start |
1180.47096875 |
transcript.pyannote[458].end |
1181.53409375 |
transcript.pyannote[459].speaker |
SPEAKER_01 |
transcript.pyannote[459].start |
1181.92221875 |
transcript.pyannote[459].end |
1183.27221875 |
transcript.pyannote[460].speaker |
SPEAKER_01 |
transcript.pyannote[460].start |
1183.67721875 |
transcript.pyannote[460].end |
1184.99346875 |
transcript.pyannote[461].speaker |
SPEAKER_01 |
transcript.pyannote[461].start |
1185.55034375 |
transcript.pyannote[461].end |
1188.35159375 |
transcript.pyannote[462].speaker |
SPEAKER_01 |
transcript.pyannote[462].start |
1188.90846875 |
transcript.pyannote[462].end |
1191.37221875 |
transcript.pyannote[463].speaker |
SPEAKER_01 |
transcript.pyannote[463].start |
1191.96284375 |
transcript.pyannote[463].end |
1192.90784375 |
transcript.pyannote[464].speaker |
SPEAKER_01 |
transcript.pyannote[464].start |
1193.71784375 |
transcript.pyannote[464].end |
1194.64596875 |
transcript.pyannote[465].speaker |
SPEAKER_01 |
transcript.pyannote[465].start |
1195.52346875 |
transcript.pyannote[465].end |
1196.89034375 |
transcript.pyannote[466].speaker |
SPEAKER_01 |
transcript.pyannote[466].start |
1197.97034375 |
transcript.pyannote[466].end |
1200.33284375 |
transcript.pyannote[467].speaker |
SPEAKER_01 |
transcript.pyannote[467].start |
1200.97409375 |
transcript.pyannote[467].end |
1204.12971875 |
transcript.pyannote[468].speaker |
SPEAKER_06 |
transcript.pyannote[468].start |
1204.12971875 |
transcript.pyannote[468].end |
1204.31534375 |
transcript.pyannote[469].speaker |
SPEAKER_01 |
transcript.pyannote[469].start |
1204.50096875 |
transcript.pyannote[469].end |
1207.40346875 |
transcript.pyannote[470].speaker |
SPEAKER_01 |
transcript.pyannote[470].start |
1208.23034375 |
transcript.pyannote[470].end |
1210.05284375 |
transcript.pyannote[471].speaker |
SPEAKER_01 |
transcript.pyannote[471].start |
1210.62659375 |
transcript.pyannote[471].end |
1211.84159375 |
transcript.pyannote[472].speaker |
SPEAKER_01 |
transcript.pyannote[472].start |
1212.48284375 |
transcript.pyannote[472].end |
1213.98471875 |
transcript.pyannote[473].speaker |
SPEAKER_01 |
transcript.pyannote[473].start |
1214.62596875 |
transcript.pyannote[473].end |
1216.76909375 |
transcript.pyannote[474].speaker |
SPEAKER_01 |
transcript.pyannote[474].start |
1216.95471875 |
transcript.pyannote[474].end |
1217.93346875 |
transcript.pyannote[475].speaker |
SPEAKER_01 |
transcript.pyannote[475].start |
1218.28784375 |
transcript.pyannote[475].end |
1219.67159375 |
transcript.pyannote[476].speaker |
SPEAKER_01 |
transcript.pyannote[476].start |
1220.38034375 |
transcript.pyannote[476].end |
1223.85659375 |
transcript.pyannote[477].speaker |
SPEAKER_01 |
transcript.pyannote[477].start |
1224.61596875 |
transcript.pyannote[477].end |
1226.86034375 |
transcript.pyannote[478].speaker |
SPEAKER_01 |
transcript.pyannote[478].start |
1227.56909375 |
transcript.pyannote[478].end |
1228.90221875 |
transcript.pyannote[479].speaker |
SPEAKER_01 |
transcript.pyannote[479].start |
1229.56034375 |
transcript.pyannote[479].end |
1231.51784375 |
transcript.pyannote[480].speaker |
SPEAKER_01 |
transcript.pyannote[480].start |
1232.04096875 |
transcript.pyannote[480].end |
1233.17159375 |
transcript.pyannote[481].speaker |
SPEAKER_01 |
transcript.pyannote[481].start |
1233.74534375 |
transcript.pyannote[481].end |
1235.85471875 |
transcript.pyannote[482].speaker |
SPEAKER_01 |
transcript.pyannote[482].start |
1236.41159375 |
transcript.pyannote[482].end |
1239.68534375 |
transcript.pyannote[483].speaker |
SPEAKER_01 |
transcript.pyannote[483].start |
1240.12409375 |
transcript.pyannote[483].end |
1241.59221875 |
transcript.pyannote[484].speaker |
SPEAKER_01 |
transcript.pyannote[484].start |
1242.06471875 |
transcript.pyannote[484].end |
1245.45659375 |
transcript.pyannote[485].speaker |
SPEAKER_01 |
transcript.pyannote[485].start |
1245.91221875 |
transcript.pyannote[485].end |
1248.37596875 |
transcript.pyannote[486].speaker |
SPEAKER_01 |
transcript.pyannote[486].start |
1248.74721875 |
transcript.pyannote[486].end |
1249.94534375 |
transcript.pyannote[487].speaker |
SPEAKER_01 |
transcript.pyannote[487].start |
1251.34596875 |
transcript.pyannote[487].end |
1253.82659375 |
transcript.pyannote[488].speaker |
SPEAKER_01 |
transcript.pyannote[488].start |
1254.21471875 |
transcript.pyannote[488].end |
1254.97409375 |
transcript.pyannote[489].speaker |
SPEAKER_01 |
transcript.pyannote[489].start |
1255.61534375 |
transcript.pyannote[489].end |
1257.97784375 |
transcript.pyannote[490].speaker |
SPEAKER_04 |
transcript.pyannote[490].start |
1255.69971875 |
transcript.pyannote[490].end |
1256.07096875 |
transcript.pyannote[491].speaker |
SPEAKER_04 |
transcript.pyannote[491].start |
1257.97784375 |
transcript.pyannote[491].end |
1258.02846875 |
transcript.pyannote[492].speaker |
SPEAKER_04 |
transcript.pyannote[492].start |
1258.72034375 |
transcript.pyannote[492].end |
1262.07846875 |
transcript.pyannote[493].speaker |
SPEAKER_04 |
transcript.pyannote[493].start |
1262.46659375 |
transcript.pyannote[493].end |
1265.35221875 |
transcript.pyannote[494].speaker |
SPEAKER_06 |
transcript.pyannote[494].start |
1262.58471875 |
transcript.pyannote[494].end |
1262.80409375 |
transcript.pyannote[495].speaker |
SPEAKER_04 |
transcript.pyannote[495].start |
1265.67284375 |
transcript.pyannote[495].end |
1269.33471875 |
transcript.pyannote[496].speaker |
SPEAKER_04 |
transcript.pyannote[496].start |
1269.63846875 |
transcript.pyannote[496].end |
1272.59159375 |
transcript.pyannote[497].speaker |
SPEAKER_04 |
transcript.pyannote[497].start |
1273.04721875 |
transcript.pyannote[497].end |
1274.63346875 |
transcript.pyannote[498].speaker |
SPEAKER_04 |
transcript.pyannote[498].start |
1275.19034375 |
transcript.pyannote[498].end |
1278.17721875 |
transcript.pyannote[499].speaker |
SPEAKER_04 |
transcript.pyannote[499].start |
1278.31221875 |
transcript.pyannote[499].end |
1279.59471875 |
transcript.pyannote[500].speaker |
SPEAKER_01 |
transcript.pyannote[500].start |
1279.59471875 |
transcript.pyannote[500].end |
1279.64534375 |
transcript.pyannote[501].speaker |
SPEAKER_04 |
transcript.pyannote[501].start |
1280.70846875 |
transcript.pyannote[501].end |
1280.74221875 |
transcript.pyannote[502].speaker |
SPEAKER_01 |
transcript.pyannote[502].start |
1280.74221875 |
transcript.pyannote[502].end |
1283.02034375 |
transcript.pyannote[503].speaker |
SPEAKER_01 |
transcript.pyannote[503].start |
1283.50971875 |
transcript.pyannote[503].end |
1285.63596875 |
transcript.pyannote[504].speaker |
SPEAKER_04 |
transcript.pyannote[504].start |
1285.18034375 |
transcript.pyannote[504].end |
1285.55159375 |
transcript.pyannote[505].speaker |
SPEAKER_01 |
transcript.pyannote[505].start |
1285.85534375 |
transcript.pyannote[505].end |
1289.80409375 |
transcript.pyannote[506].speaker |
SPEAKER_04 |
transcript.pyannote[506].start |
1285.97346875 |
transcript.pyannote[506].end |
1286.47971875 |
transcript.pyannote[507].speaker |
SPEAKER_04 |
transcript.pyannote[507].start |
1286.54721875 |
transcript.pyannote[507].end |
1286.69909375 |
transcript.pyannote[508].speaker |
SPEAKER_01 |
transcript.pyannote[508].start |
1290.52971875 |
transcript.pyannote[508].end |
1294.24221875 |
transcript.pyannote[509].speaker |
SPEAKER_04 |
transcript.pyannote[509].start |
1290.56346875 |
transcript.pyannote[509].end |
1290.96846875 |
transcript.pyannote[510].speaker |
SPEAKER_06 |
transcript.pyannote[510].start |
1290.96846875 |
transcript.pyannote[510].end |
1291.03596875 |
transcript.pyannote[511].speaker |
SPEAKER_04 |
transcript.pyannote[511].start |
1291.03596875 |
transcript.pyannote[511].end |
1291.37346875 |
transcript.pyannote[512].speaker |
SPEAKER_06 |
transcript.pyannote[512].start |
1291.37346875 |
transcript.pyannote[512].end |
1291.50846875 |
transcript.pyannote[513].speaker |
SPEAKER_01 |
transcript.pyannote[513].start |
1294.74846875 |
transcript.pyannote[513].end |
1297.29659375 |
transcript.pyannote[514].speaker |
SPEAKER_04 |
transcript.pyannote[514].start |
1297.29659375 |
transcript.pyannote[514].end |
1297.31346875 |
transcript.pyannote[515].speaker |
SPEAKER_01 |
transcript.pyannote[515].start |
1298.10659375 |
transcript.pyannote[515].end |
1298.98409375 |
transcript.pyannote[516].speaker |
SPEAKER_04 |
transcript.pyannote[516].start |
1298.20784375 |
transcript.pyannote[516].end |
1298.95034375 |
transcript.pyannote[517].speaker |
SPEAKER_04 |
transcript.pyannote[517].start |
1298.98409375 |
transcript.pyannote[517].end |
1299.00096875 |
transcript.pyannote[518].speaker |
SPEAKER_04 |
transcript.pyannote[518].start |
1299.32159375 |
transcript.pyannote[518].end |
1301.00909375 |
transcript.pyannote[519].speaker |
SPEAKER_04 |
transcript.pyannote[519].start |
1301.46471875 |
transcript.pyannote[519].end |
1303.60784375 |
transcript.pyannote[520].speaker |
SPEAKER_04 |
transcript.pyannote[520].start |
1304.06346875 |
transcript.pyannote[520].end |
1305.16034375 |
transcript.pyannote[521].speaker |
SPEAKER_04 |
transcript.pyannote[521].start |
1305.37971875 |
transcript.pyannote[521].end |
1307.91096875 |
transcript.pyannote[522].speaker |
SPEAKER_04 |
transcript.pyannote[522].start |
1308.13034375 |
transcript.pyannote[522].end |
1308.77159375 |
transcript.pyannote[523].speaker |
SPEAKER_06 |
transcript.pyannote[523].start |
1308.34971875 |
transcript.pyannote[523].end |
1308.60284375 |
transcript.pyannote[524].speaker |
SPEAKER_04 |
transcript.pyannote[524].start |
1308.78846875 |
transcript.pyannote[524].end |
1315.57221875 |
transcript.pyannote[525].speaker |
SPEAKER_01 |
transcript.pyannote[525].start |
1314.64409375 |
transcript.pyannote[525].end |
1314.67784375 |
transcript.pyannote[526].speaker |
SPEAKER_06 |
transcript.pyannote[526].start |
1314.67784375 |
transcript.pyannote[526].end |
1315.03221875 |
transcript.pyannote[527].speaker |
SPEAKER_01 |
transcript.pyannote[527].start |
1315.03221875 |
transcript.pyannote[527].end |
1315.43721875 |
transcript.pyannote[528].speaker |
SPEAKER_04 |
transcript.pyannote[528].start |
1315.74096875 |
transcript.pyannote[528].end |
1318.03596875 |
transcript.pyannote[529].speaker |
SPEAKER_01 |
transcript.pyannote[529].start |
1318.03596875 |
transcript.pyannote[529].end |
1318.66034375 |
transcript.pyannote[530].speaker |
SPEAKER_01 |
transcript.pyannote[530].start |
1319.33534375 |
transcript.pyannote[530].end |
1323.50346875 |
transcript.pyannote[531].speaker |
SPEAKER_04 |
transcript.pyannote[531].start |
1322.01846875 |
transcript.pyannote[531].end |
1322.49096875 |
transcript.pyannote[532].speaker |
SPEAKER_01 |
transcript.pyannote[532].start |
1323.85784375 |
transcript.pyannote[532].end |
1326.72659375 |
transcript.pyannote[533].speaker |
SPEAKER_00 |
transcript.pyannote[533].start |
1324.06034375 |
transcript.pyannote[533].end |
1324.07721875 |
transcript.pyannote[534].speaker |
SPEAKER_04 |
transcript.pyannote[534].start |
1324.07721875 |
transcript.pyannote[534].end |
1325.02221875 |
transcript.pyannote[535].speaker |
SPEAKER_00 |
transcript.pyannote[535].start |
1325.02221875 |
transcript.pyannote[535].end |
1325.03909375 |
transcript.pyannote[536].speaker |
SPEAKER_01 |
transcript.pyannote[536].start |
1327.08096875 |
transcript.pyannote[536].end |
1329.69659375 |
transcript.pyannote[537].speaker |
SPEAKER_01 |
transcript.pyannote[537].start |
1329.94971875 |
transcript.pyannote[537].end |
1333.86471875 |
transcript.pyannote[538].speaker |
SPEAKER_04 |
transcript.pyannote[538].start |
1332.21096875 |
transcript.pyannote[538].end |
1333.88159375 |
transcript.pyannote[539].speaker |
SPEAKER_01 |
transcript.pyannote[539].start |
1333.88159375 |
transcript.pyannote[539].end |
1333.96596875 |
transcript.pyannote[540].speaker |
SPEAKER_04 |
transcript.pyannote[540].start |
1333.96596875 |
transcript.pyannote[540].end |
1334.03346875 |
transcript.pyannote[541].speaker |
SPEAKER_01 |
transcript.pyannote[541].start |
1334.03346875 |
transcript.pyannote[541].end |
1336.32846875 |
transcript.pyannote[542].speaker |
SPEAKER_04 |
transcript.pyannote[542].start |
1335.09659375 |
transcript.pyannote[542].end |
1336.48034375 |
transcript.pyannote[543].speaker |
SPEAKER_01 |
transcript.pyannote[543].start |
1336.48034375 |
transcript.pyannote[543].end |
1336.49721875 |
transcript.pyannote[544].speaker |
SPEAKER_04 |
transcript.pyannote[544].start |
1336.63221875 |
transcript.pyannote[544].end |
1336.75034375 |
transcript.pyannote[545].speaker |
SPEAKER_01 |
transcript.pyannote[545].start |
1336.75034375 |
transcript.pyannote[545].end |
1336.85159375 |
transcript.pyannote[546].speaker |
SPEAKER_04 |
transcript.pyannote[546].start |
1336.85159375 |
transcript.pyannote[546].end |
1338.37034375 |
transcript.pyannote[547].speaker |
SPEAKER_01 |
transcript.pyannote[547].start |
1336.98659375 |
transcript.pyannote[547].end |
1338.26909375 |
transcript.pyannote[548].speaker |
SPEAKER_04 |
transcript.pyannote[548].start |
1338.53909375 |
transcript.pyannote[548].end |
1340.04096875 |
transcript.pyannote[549].speaker |
SPEAKER_04 |
transcript.pyannote[549].start |
1340.24346875 |
transcript.pyannote[549].end |
1340.88471875 |
transcript.pyannote[550].speaker |
SPEAKER_01 |
transcript.pyannote[550].start |
1340.26034375 |
transcript.pyannote[550].end |
1342.13346875 |
transcript.pyannote[551].speaker |
SPEAKER_01 |
transcript.pyannote[551].start |
1342.43721875 |
transcript.pyannote[551].end |
1344.02346875 |
transcript.pyannote[552].speaker |
SPEAKER_04 |
transcript.pyannote[552].start |
1342.69034375 |
transcript.pyannote[552].end |
1343.41596875 |
transcript.pyannote[553].speaker |
SPEAKER_03 |
transcript.pyannote[553].start |
1343.41596875 |
transcript.pyannote[553].end |
1343.44971875 |
transcript.pyannote[554].speaker |
SPEAKER_04 |
transcript.pyannote[554].start |
1343.44971875 |
transcript.pyannote[554].end |
1343.46659375 |
transcript.pyannote[555].speaker |
SPEAKER_01 |
transcript.pyannote[555].start |
1344.73221875 |
transcript.pyannote[555].end |
1345.20471875 |
transcript.pyannote[556].speaker |
SPEAKER_01 |
transcript.pyannote[556].start |
1345.69409375 |
transcript.pyannote[556].end |
1347.85409375 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
1349.01846875 |
transcript.pyannote[557].end |
1351.97159375 |
transcript.pyannote[558].speaker |
SPEAKER_03 |
transcript.pyannote[558].start |
1352.02221875 |
transcript.pyannote[558].end |
1352.03909375 |
transcript.pyannote[559].speaker |
SPEAKER_01 |
transcript.pyannote[559].start |
1352.03909375 |
transcript.pyannote[559].end |
1353.42284375 |
transcript.pyannote[560].speaker |
SPEAKER_01 |
transcript.pyannote[560].start |
1353.82784375 |
transcript.pyannote[560].end |
1359.64971875 |
transcript.pyannote[561].speaker |
SPEAKER_01 |
transcript.pyannote[561].start |
1360.00409375 |
transcript.pyannote[561].end |
1362.09659375 |
transcript.pyannote[562].speaker |
SPEAKER_03 |
transcript.pyannote[562].start |
1360.15596875 |
transcript.pyannote[562].end |
1367.24346875 |
transcript.pyannote[563].speaker |
SPEAKER_01 |
transcript.pyannote[563].start |
1363.73346875 |
transcript.pyannote[563].end |
1364.71221875 |
transcript.pyannote[564].speaker |
SPEAKER_04 |
transcript.pyannote[564].start |
1364.71221875 |
transcript.pyannote[564].end |
1375.61346875 |
transcript.pyannote[565].speaker |
SPEAKER_01 |
transcript.pyannote[565].start |
1375.61346875 |
transcript.pyannote[565].end |
1375.63034375 |
transcript.pyannote[566].speaker |
SPEAKER_01 |
transcript.pyannote[566].start |
1375.83284375 |
transcript.pyannote[566].end |
1375.84971875 |
transcript.pyannote[567].speaker |
SPEAKER_04 |
transcript.pyannote[567].start |
1375.84971875 |
transcript.pyannote[567].end |
1376.03534375 |
transcript.pyannote[568].speaker |
SPEAKER_01 |
transcript.pyannote[568].start |
1376.03534375 |
transcript.pyannote[568].end |
1376.99721875 |
transcript.pyannote[569].speaker |
SPEAKER_01 |
transcript.pyannote[569].start |
1377.36846875 |
transcript.pyannote[569].end |
1377.38534375 |
transcript.pyannote[570].speaker |
SPEAKER_04 |
transcript.pyannote[570].start |
1377.38534375 |
transcript.pyannote[570].end |
1377.40221875 |
transcript.pyannote[571].speaker |
SPEAKER_01 |
transcript.pyannote[571].start |
1377.40221875 |
transcript.pyannote[571].end |
1377.45284375 |
transcript.pyannote[572].speaker |
SPEAKER_04 |
transcript.pyannote[572].start |
1377.45284375 |
transcript.pyannote[572].end |
1382.02596875 |
transcript.pyannote[573].speaker |
SPEAKER_01 |
transcript.pyannote[573].start |
1377.60471875 |
transcript.pyannote[573].end |
1380.01784375 |
transcript.pyannote[574].speaker |
SPEAKER_01 |
transcript.pyannote[574].start |
1380.84471875 |
transcript.pyannote[574].end |
1383.37596875 |
transcript.pyannote[575].speaker |
SPEAKER_04 |
transcript.pyannote[575].start |
1383.67971875 |
transcript.pyannote[575].end |
1391.07096875 |
transcript.pyannote[576].speaker |
SPEAKER_01 |
transcript.pyannote[576].start |
1388.69159375 |
transcript.pyannote[576].end |
1389.14721875 |
transcript.pyannote[577].speaker |
SPEAKER_01 |
transcript.pyannote[577].start |
1390.10909375 |
transcript.pyannote[577].end |
1393.31534375 |
transcript.pyannote[578].speaker |
SPEAKER_04 |
transcript.pyannote[578].start |
1392.15096875 |
transcript.pyannote[578].end |
1400.41971875 |
transcript.pyannote[579].speaker |
SPEAKER_01 |
transcript.pyannote[579].start |
1400.08221875 |
transcript.pyannote[579].end |
1404.06471875 |
transcript.pyannote[580].speaker |
SPEAKER_04 |
transcript.pyannote[580].start |
1400.90909375 |
transcript.pyannote[580].end |
1401.26346875 |
transcript.pyannote[581].speaker |
SPEAKER_01 |
transcript.pyannote[581].start |
1404.63846875 |
transcript.pyannote[581].end |
1406.71409375 |
transcript.pyannote[582].speaker |
SPEAKER_01 |
transcript.pyannote[582].start |
1407.27096875 |
transcript.pyannote[582].end |
1409.09346875 |
transcript.pyannote[583].speaker |
SPEAKER_01 |
transcript.pyannote[583].start |
1409.59971875 |
transcript.pyannote[583].end |
1412.02971875 |
transcript.pyannote[584].speaker |
SPEAKER_01 |
transcript.pyannote[584].start |
1412.41784375 |
transcript.pyannote[584].end |
1415.21909375 |
transcript.pyannote[585].speaker |
SPEAKER_01 |
transcript.pyannote[585].start |
1415.74221875 |
transcript.pyannote[585].end |
1417.49721875 |
transcript.pyannote[586].speaker |
SPEAKER_01 |
transcript.pyannote[586].start |
1417.86846875 |
transcript.pyannote[586].end |
1419.37034375 |
transcript.pyannote[587].speaker |
SPEAKER_01 |
transcript.pyannote[587].start |
1419.75846875 |
transcript.pyannote[587].end |
1421.10846875 |
transcript.pyannote[588].speaker |
SPEAKER_01 |
transcript.pyannote[588].start |
1421.71596875 |
transcript.pyannote[588].end |
1422.54284375 |
transcript.pyannote[589].speaker |
SPEAKER_01 |
transcript.pyannote[589].start |
1422.98159375 |
transcript.pyannote[589].end |
1425.56346875 |
transcript.pyannote[590].speaker |
SPEAKER_01 |
transcript.pyannote[590].start |
1425.85034375 |
transcript.pyannote[590].end |
1427.40284375 |
transcript.pyannote[591].speaker |
SPEAKER_01 |
transcript.pyannote[591].start |
1427.97659375 |
transcript.pyannote[591].end |
1429.91721875 |
transcript.pyannote[592].speaker |
SPEAKER_01 |
transcript.pyannote[592].start |
1430.17034375 |
transcript.pyannote[592].end |
1434.16971875 |
transcript.pyannote[593].speaker |
SPEAKER_01 |
transcript.pyannote[593].start |
1434.37221875 |
transcript.pyannote[593].end |
1436.66721875 |
transcript.pyannote[594].speaker |
SPEAKER_01 |
transcript.pyannote[594].start |
1437.37596875 |
transcript.pyannote[594].end |
1441.34159375 |
transcript.pyannote[595].speaker |
SPEAKER_01 |
transcript.pyannote[595].start |
1441.74659375 |
transcript.pyannote[595].end |
1444.49721875 |
transcript.pyannote[596].speaker |
SPEAKER_01 |
transcript.pyannote[596].start |
1444.75034375 |
transcript.pyannote[596].end |
1447.97346875 |
transcript.pyannote[597].speaker |
SPEAKER_01 |
transcript.pyannote[597].start |
1448.46284375 |
transcript.pyannote[597].end |
1450.33596875 |
transcript.pyannote[598].speaker |
SPEAKER_01 |
transcript.pyannote[598].start |
1450.65659375 |
transcript.pyannote[598].end |
1450.69034375 |
transcript.pyannote[599].speaker |
SPEAKER_04 |
transcript.pyannote[599].start |
1450.69034375 |
transcript.pyannote[599].end |
1450.70721875 |
transcript.pyannote[600].speaker |
SPEAKER_01 |
transcript.pyannote[600].start |
1450.70721875 |
transcript.pyannote[600].end |
1450.97721875 |
transcript.pyannote[601].speaker |
SPEAKER_04 |
transcript.pyannote[601].start |
1450.97721875 |
transcript.pyannote[601].end |
1451.04471875 |
transcript.pyannote[602].speaker |
SPEAKER_01 |
transcript.pyannote[602].start |
1451.58471875 |
transcript.pyannote[602].end |
1451.60159375 |
transcript.pyannote[603].speaker |
SPEAKER_04 |
transcript.pyannote[603].start |
1451.60159375 |
transcript.pyannote[603].end |
1454.14971875 |
transcript.pyannote[604].speaker |
SPEAKER_04 |
transcript.pyannote[604].start |
1454.65596875 |
transcript.pyannote[604].end |
1456.07346875 |
transcript.pyannote[605].speaker |
SPEAKER_04 |
transcript.pyannote[605].start |
1456.22534375 |
transcript.pyannote[605].end |
1467.02534375 |
transcript.pyannote[606].speaker |
SPEAKER_00 |
transcript.pyannote[606].start |
1460.52846875 |
transcript.pyannote[606].end |
1460.84909375 |
transcript.pyannote[607].speaker |
SPEAKER_06 |
transcript.pyannote[607].start |
1460.84909375 |
transcript.pyannote[607].end |
1460.96721875 |
transcript.pyannote[608].speaker |
SPEAKER_00 |
transcript.pyannote[608].start |
1460.96721875 |
transcript.pyannote[608].end |
1461.69284375 |
transcript.pyannote[609].speaker |
SPEAKER_01 |
transcript.pyannote[609].start |
1467.02534375 |
transcript.pyannote[609].end |
1467.37971875 |
transcript.pyannote[610].speaker |
SPEAKER_04 |
transcript.pyannote[610].start |
1467.37971875 |
transcript.pyannote[610].end |
1467.39659375 |
transcript.pyannote[611].speaker |
SPEAKER_04 |
transcript.pyannote[611].start |
1467.91971875 |
transcript.pyannote[611].end |
1467.93659375 |
transcript.pyannote[612].speaker |
SPEAKER_01 |
transcript.pyannote[612].start |
1467.93659375 |
transcript.pyannote[612].end |
1471.02471875 |
transcript.pyannote[613].speaker |
SPEAKER_01 |
transcript.pyannote[613].start |
1471.39596875 |
transcript.pyannote[613].end |
1473.16784375 |
transcript.pyannote[614].speaker |
SPEAKER_01 |
transcript.pyannote[614].start |
1473.75846875 |
transcript.pyannote[614].end |
1475.90159375 |
transcript.pyannote[615].speaker |
SPEAKER_01 |
transcript.pyannote[615].start |
1476.44159375 |
transcript.pyannote[615].end |
1479.29346875 |
transcript.pyannote[616].speaker |
SPEAKER_01 |
transcript.pyannote[616].start |
1479.61409375 |
transcript.pyannote[616].end |
1481.28471875 |
transcript.pyannote[617].speaker |
SPEAKER_01 |
transcript.pyannote[617].start |
1481.65596875 |
transcript.pyannote[617].end |
1482.17909375 |
transcript.pyannote[618].speaker |
SPEAKER_01 |
transcript.pyannote[618].start |
1482.58409375 |
transcript.pyannote[618].end |
1484.59221875 |
transcript.pyannote[619].speaker |
SPEAKER_01 |
transcript.pyannote[619].start |
1484.98034375 |
transcript.pyannote[619].end |
1486.81971875 |
transcript.pyannote[620].speaker |
SPEAKER_01 |
transcript.pyannote[620].start |
1487.56221875 |
transcript.pyannote[620].end |
1488.96284375 |
transcript.pyannote[621].speaker |
SPEAKER_01 |
transcript.pyannote[621].start |
1489.36784375 |
transcript.pyannote[621].end |
1492.01721875 |
transcript.pyannote[622].speaker |
SPEAKER_01 |
transcript.pyannote[622].start |
1492.48971875 |
transcript.pyannote[622].end |
1492.84409375 |
transcript.pyannote[623].speaker |
SPEAKER_01 |
transcript.pyannote[623].start |
1492.96221875 |
transcript.pyannote[623].end |
1495.35846875 |
transcript.pyannote[624].speaker |
SPEAKER_01 |
transcript.pyannote[624].start |
1495.93221875 |
transcript.pyannote[624].end |
1497.02909375 |
transcript.pyannote[625].speaker |
SPEAKER_01 |
transcript.pyannote[625].start |
1497.16409375 |
transcript.pyannote[625].end |
1498.96971875 |
transcript.pyannote[626].speaker |
SPEAKER_04 |
transcript.pyannote[626].start |
1498.96971875 |
transcript.pyannote[626].end |
1499.91471875 |
transcript.pyannote[627].speaker |
SPEAKER_04 |
transcript.pyannote[627].start |
1500.69096875 |
transcript.pyannote[627].end |
1502.10846875 |
transcript.pyannote[628].speaker |
SPEAKER_01 |
transcript.pyannote[628].start |
1502.76659375 |
transcript.pyannote[628].end |
1507.37346875 |
transcript.pyannote[629].speaker |
SPEAKER_04 |
transcript.pyannote[629].start |
1502.78346875 |
transcript.pyannote[629].end |
1504.87596875 |
transcript.pyannote[630].speaker |
SPEAKER_04 |
transcript.pyannote[630].start |
1506.54659375 |
transcript.pyannote[630].end |
1507.12034375 |
transcript.pyannote[631].speaker |
SPEAKER_01 |
transcript.pyannote[631].start |
1507.98096875 |
transcript.pyannote[631].end |
1508.36909375 |
transcript.pyannote[632].speaker |
SPEAKER_01 |
transcript.pyannote[632].start |
1508.90909375 |
transcript.pyannote[632].end |
1509.06096875 |
transcript.pyannote[633].speaker |
SPEAKER_04 |
transcript.pyannote[633].start |
1509.06096875 |
transcript.pyannote[633].end |
1514.52846875 |
transcript.pyannote[634].speaker |
SPEAKER_01 |
transcript.pyannote[634].start |
1509.12846875 |
transcript.pyannote[634].end |
1509.80346875 |
transcript.pyannote[635].speaker |
SPEAKER_04 |
transcript.pyannote[635].start |
1514.83221875 |
transcript.pyannote[635].end |
1514.96721875 |
transcript.pyannote[636].speaker |
SPEAKER_01 |
transcript.pyannote[636].start |
1514.96721875 |
transcript.pyannote[636].end |
1515.03471875 |
transcript.pyannote[637].speaker |
SPEAKER_04 |
transcript.pyannote[637].start |
1515.03471875 |
transcript.pyannote[637].end |
1519.48971875 |
transcript.pyannote[638].speaker |
SPEAKER_01 |
transcript.pyannote[638].start |
1518.78096875 |
transcript.pyannote[638].end |
1524.29909375 |
transcript.pyannote[639].speaker |
SPEAKER_04 |
transcript.pyannote[639].start |
1521.04221875 |
transcript.pyannote[639].end |
1521.24471875 |
transcript.pyannote[640].speaker |
SPEAKER_01 |
transcript.pyannote[640].start |
1525.56471875 |
transcript.pyannote[640].end |
1527.06659375 |
transcript.pyannote[641].speaker |
SPEAKER_01 |
transcript.pyannote[641].start |
1527.48846875 |
transcript.pyannote[641].end |
1527.94409375 |
transcript.pyannote[642].speaker |
SPEAKER_01 |
transcript.pyannote[642].start |
1528.56846875 |
transcript.pyannote[642].end |
1530.08721875 |
transcript.pyannote[643].speaker |
SPEAKER_01 |
transcript.pyannote[643].start |
1530.34034375 |
transcript.pyannote[643].end |
1531.65659375 |
transcript.pyannote[644].speaker |
SPEAKER_01 |
transcript.pyannote[644].start |
1532.04471875 |
transcript.pyannote[644].end |
1532.56784375 |
transcript.pyannote[645].speaker |
SPEAKER_01 |
transcript.pyannote[645].start |
1532.93909375 |
transcript.pyannote[645].end |
1538.81159375 |
transcript.pyannote[646].speaker |
SPEAKER_01 |
transcript.pyannote[646].start |
1539.30096875 |
transcript.pyannote[646].end |
1542.42284375 |
transcript.pyannote[647].speaker |
SPEAKER_01 |
transcript.pyannote[647].start |
1542.86159375 |
transcript.pyannote[647].end |
1544.31284375 |
transcript.pyannote[648].speaker |
SPEAKER_01 |
transcript.pyannote[648].start |
1544.97096875 |
transcript.pyannote[648].end |
1546.81034375 |
transcript.pyannote[649].speaker |
SPEAKER_01 |
transcript.pyannote[649].start |
1546.96221875 |
transcript.pyannote[649].end |
1548.51471875 |
transcript.pyannote[650].speaker |
SPEAKER_01 |
transcript.pyannote[650].start |
1548.66659375 |
transcript.pyannote[650].end |
1549.89846875 |
transcript.pyannote[651].speaker |
SPEAKER_01 |
transcript.pyannote[651].start |
1550.42159375 |
transcript.pyannote[651].end |
1551.85596875 |
transcript.pyannote[652].speaker |
SPEAKER_01 |
transcript.pyannote[652].start |
1551.97409375 |
transcript.pyannote[652].end |
1553.71221875 |
transcript.pyannote[653].speaker |
SPEAKER_01 |
transcript.pyannote[653].start |
1554.11721875 |
transcript.pyannote[653].end |
1554.40409375 |
transcript.pyannote[654].speaker |
SPEAKER_01 |
transcript.pyannote[654].start |
1554.69096875 |
transcript.pyannote[654].end |
1558.31909375 |
transcript.pyannote[655].speaker |
SPEAKER_01 |
transcript.pyannote[655].start |
1558.96034375 |
transcript.pyannote[655].end |
1561.05284375 |
transcript.pyannote[656].speaker |
SPEAKER_01 |
transcript.pyannote[656].start |
1561.45784375 |
transcript.pyannote[656].end |
1562.70659375 |
transcript.pyannote[657].speaker |
SPEAKER_01 |
transcript.pyannote[657].start |
1563.02721875 |
transcript.pyannote[657].end |
1565.52471875 |
transcript.pyannote[658].speaker |
SPEAKER_01 |
transcript.pyannote[658].start |
1566.46971875 |
transcript.pyannote[658].end |
1567.70159375 |
transcript.pyannote[659].speaker |
SPEAKER_01 |
transcript.pyannote[659].start |
1568.27534375 |
transcript.pyannote[659].end |
1569.72659375 |
transcript.pyannote[660].speaker |
SPEAKER_01 |
transcript.pyannote[660].start |
1570.09784375 |
transcript.pyannote[660].end |
1571.44784375 |
transcript.pyannote[661].speaker |
SPEAKER_01 |
transcript.pyannote[661].start |
1571.95409375 |
transcript.pyannote[661].end |
1574.75534375 |
transcript.pyannote[662].speaker |
SPEAKER_01 |
transcript.pyannote[662].start |
1575.43034375 |
transcript.pyannote[662].end |
1577.32034375 |
transcript.pyannote[663].speaker |
SPEAKER_06 |
transcript.pyannote[663].start |
1577.92784375 |
transcript.pyannote[663].end |
1577.97846875 |
transcript.pyannote[664].speaker |
SPEAKER_01 |
transcript.pyannote[664].start |
1578.46784375 |
transcript.pyannote[664].end |
1580.07096875 |
transcript.pyannote[665].speaker |
SPEAKER_01 |
transcript.pyannote[665].start |
1580.42534375 |
transcript.pyannote[665].end |
1582.11284375 |
transcript.pyannote[666].speaker |
SPEAKER_01 |
transcript.pyannote[666].start |
1582.70346875 |
transcript.pyannote[666].end |
1583.36159375 |
transcript.pyannote[667].speaker |
SPEAKER_01 |
transcript.pyannote[667].start |
1583.83409375 |
transcript.pyannote[667].end |
1584.55971875 |
transcript.pyannote[668].speaker |
SPEAKER_01 |
transcript.pyannote[668].start |
1585.04909375 |
transcript.pyannote[668].end |
1586.87159375 |
transcript.pyannote[669].speaker |
SPEAKER_01 |
transcript.pyannote[669].start |
1587.32721875 |
transcript.pyannote[669].end |
1589.70659375 |
transcript.pyannote[670].speaker |
SPEAKER_01 |
transcript.pyannote[670].start |
1590.14534375 |
transcript.pyannote[670].end |
1592.40659375 |
transcript.pyannote[671].speaker |
SPEAKER_01 |
transcript.pyannote[671].start |
1593.25034375 |
transcript.pyannote[671].end |
1595.32596875 |
transcript.pyannote[672].speaker |
SPEAKER_01 |
transcript.pyannote[672].start |
1595.73096875 |
transcript.pyannote[672].end |
1600.97909375 |
transcript.pyannote[673].speaker |
SPEAKER_04 |
transcript.pyannote[673].start |
1600.97909375 |
transcript.pyannote[673].end |
1601.97471875 |
transcript.pyannote[674].speaker |
SPEAKER_01 |
transcript.pyannote[674].start |
1601.29971875 |
transcript.pyannote[674].end |
1601.55284375 |
transcript.pyannote[675].speaker |
SPEAKER_04 |
transcript.pyannote[675].start |
1602.36284375 |
transcript.pyannote[675].end |
1609.02846875 |
transcript.pyannote[676].speaker |
SPEAKER_01 |
transcript.pyannote[676].start |
1607.79659375 |
transcript.pyannote[676].end |
1614.19221875 |
transcript.pyannote[677].speaker |
SPEAKER_05 |
transcript.pyannote[677].start |
1612.28534375 |
transcript.pyannote[677].end |
1612.33596875 |
transcript.pyannote[678].speaker |
SPEAKER_04 |
transcript.pyannote[678].start |
1612.33596875 |
transcript.pyannote[678].end |
1612.36971875 |
transcript.pyannote[679].speaker |
SPEAKER_05 |
transcript.pyannote[679].start |
1612.36971875 |
transcript.pyannote[679].end |
1612.45409375 |
transcript.pyannote[680].speaker |
SPEAKER_04 |
transcript.pyannote[680].start |
1612.45409375 |
transcript.pyannote[680].end |
1612.75784375 |
transcript.pyannote[681].speaker |
SPEAKER_05 |
transcript.pyannote[681].start |
1612.75784375 |
transcript.pyannote[681].end |
1626.17346875 |
transcript.pyannote[682].speaker |
SPEAKER_01 |
transcript.pyannote[682].start |
1617.98909375 |
transcript.pyannote[682].end |
1620.55409375 |
transcript.pyannote[683].speaker |
SPEAKER_01 |
transcript.pyannote[683].start |
1625.49846875 |
transcript.pyannote[683].end |
1635.03284375 |
transcript.pyannote[684].speaker |
SPEAKER_05 |
transcript.pyannote[684].start |
1634.77971875 |
transcript.pyannote[684].end |
1648.97159375 |
transcript.pyannote[685].speaker |
SPEAKER_01 |
transcript.pyannote[685].start |
1642.28909375 |
transcript.pyannote[685].end |
1643.60534375 |
transcript.pyannote[686].speaker |
SPEAKER_01 |
transcript.pyannote[686].start |
1646.44034375 |
transcript.pyannote[686].end |
1646.54159375 |
transcript.pyannote[687].speaker |
SPEAKER_06 |
transcript.pyannote[687].start |
1646.54159375 |
transcript.pyannote[687].end |
1646.57534375 |
transcript.pyannote[688].speaker |
SPEAKER_01 |
transcript.pyannote[688].start |
1646.57534375 |
transcript.pyannote[688].end |
1649.03909375 |
transcript.pyannote[689].speaker |
SPEAKER_01 |
transcript.pyannote[689].start |
1649.19096875 |
transcript.pyannote[689].end |
1651.87409375 |
transcript.pyannote[690].speaker |
SPEAKER_01 |
transcript.pyannote[690].start |
1652.46471875 |
transcript.pyannote[690].end |
1654.47284375 |
transcript.pyannote[691].speaker |
SPEAKER_01 |
transcript.pyannote[691].start |
1655.06346875 |
transcript.pyannote[691].end |
1656.53159375 |
transcript.pyannote[692].speaker |
SPEAKER_01 |
transcript.pyannote[692].start |
1656.76784375 |
transcript.pyannote[692].end |
1659.99096875 |
transcript.pyannote[693].speaker |
SPEAKER_01 |
transcript.pyannote[693].start |
1660.46346875 |
transcript.pyannote[693].end |
1670.70659375 |
transcript.pyannote[694].speaker |
SPEAKER_05 |
transcript.pyannote[694].start |
1670.16659375 |
transcript.pyannote[694].end |
1673.96346875 |
transcript.pyannote[695].speaker |
SPEAKER_01 |
transcript.pyannote[695].start |
1672.96784375 |
transcript.pyannote[695].end |
1674.30096875 |
transcript.pyannote[696].speaker |
SPEAKER_01 |
transcript.pyannote[696].start |
1674.36846875 |
transcript.pyannote[696].end |
1674.41909375 |
transcript.pyannote[697].speaker |
SPEAKER_05 |
transcript.pyannote[697].start |
1674.41909375 |
transcript.pyannote[697].end |
1674.45284375 |
transcript.pyannote[698].speaker |
SPEAKER_01 |
transcript.pyannote[698].start |
1674.45284375 |
transcript.pyannote[698].end |
1674.97596875 |
transcript.pyannote[699].speaker |
SPEAKER_05 |
transcript.pyannote[699].start |
1674.97596875 |
transcript.pyannote[699].end |
1686.53534375 |
transcript.pyannote[700].speaker |
SPEAKER_06 |
transcript.pyannote[700].start |
1682.16471875 |
transcript.pyannote[700].end |
1682.18159375 |
transcript.pyannote[701].speaker |
SPEAKER_01 |
transcript.pyannote[701].start |
1682.18159375 |
transcript.pyannote[701].end |
1684.66221875 |
transcript.pyannote[702].speaker |
SPEAKER_01 |
transcript.pyannote[702].start |
1685.59034375 |
transcript.pyannote[702].end |
1686.46784375 |
transcript.pyannote[703].speaker |
SPEAKER_01 |
transcript.pyannote[703].start |
1686.53534375 |
transcript.pyannote[703].end |
1686.97409375 |
transcript.pyannote[704].speaker |
SPEAKER_05 |
transcript.pyannote[704].start |
1686.97409375 |
transcript.pyannote[704].end |
1692.08721875 |
transcript.pyannote[705].speaker |
SPEAKER_01 |
transcript.pyannote[705].start |
1690.11284375 |
transcript.pyannote[705].end |
1691.59784375 |
transcript.pyannote[706].speaker |
SPEAKER_05 |
transcript.pyannote[706].start |
1692.49221875 |
transcript.pyannote[706].end |
1694.95596875 |
transcript.pyannote[707].speaker |
SPEAKER_01 |
transcript.pyannote[707].start |
1693.06596875 |
transcript.pyannote[707].end |
1696.28909375 |
transcript.pyannote[708].speaker |
SPEAKER_01 |
transcript.pyannote[708].start |
1696.67721875 |
transcript.pyannote[708].end |
1702.14471875 |
transcript.pyannote[709].speaker |
SPEAKER_05 |
transcript.pyannote[709].start |
1699.19159375 |
transcript.pyannote[709].end |
1701.94221875 |
transcript.pyannote[710].speaker |
SPEAKER_03 |
transcript.pyannote[710].start |
1701.94221875 |
transcript.pyannote[710].end |
1701.97596875 |
transcript.pyannote[711].speaker |
SPEAKER_01 |
transcript.pyannote[711].start |
1702.70159375 |
transcript.pyannote[711].end |
1703.89971875 |
transcript.pyannote[712].speaker |
SPEAKER_01 |
transcript.pyannote[712].start |
1704.27096875 |
transcript.pyannote[712].end |
1706.27909375 |
transcript.pyannote[713].speaker |
SPEAKER_01 |
transcript.pyannote[713].start |
1706.76846875 |
transcript.pyannote[713].end |
1708.64159375 |
transcript.pyannote[714].speaker |
SPEAKER_01 |
transcript.pyannote[714].start |
1709.08034375 |
transcript.pyannote[714].end |
1710.44721875 |
transcript.pyannote[715].speaker |
SPEAKER_01 |
transcript.pyannote[715].start |
1711.03784375 |
transcript.pyannote[715].end |
1712.79284375 |
transcript.pyannote[716].speaker |
SPEAKER_01 |
transcript.pyannote[716].start |
1713.19784375 |
transcript.pyannote[716].end |
1715.17221875 |
transcript.pyannote[717].speaker |
SPEAKER_01 |
transcript.pyannote[717].start |
1715.35784375 |
transcript.pyannote[717].end |
1717.55159375 |
transcript.pyannote[718].speaker |
SPEAKER_01 |
transcript.pyannote[718].start |
1717.99034375 |
transcript.pyannote[718].end |
1723.37346875 |
transcript.pyannote[719].speaker |
SPEAKER_04 |
transcript.pyannote[719].start |
1722.49596875 |
transcript.pyannote[719].end |
1730.73096875 |
transcript.pyannote[720].speaker |
SPEAKER_01 |
transcript.pyannote[720].start |
1728.87471875 |
transcript.pyannote[720].end |
1729.70159375 |
transcript.pyannote[721].speaker |
SPEAKER_01 |
transcript.pyannote[721].start |
1730.73096875 |
transcript.pyannote[721].end |
1731.54096875 |
transcript.pyannote[722].speaker |
SPEAKER_04 |
transcript.pyannote[722].start |
1731.54096875 |
transcript.pyannote[722].end |
1731.74346875 |
transcript.pyannote[723].speaker |
SPEAKER_01 |
transcript.pyannote[723].start |
1731.57471875 |
transcript.pyannote[723].end |
1731.76034375 |
transcript.pyannote[724].speaker |
SPEAKER_04 |
transcript.pyannote[724].start |
1731.76034375 |
transcript.pyannote[724].end |
1734.34221875 |
transcript.pyannote[725].speaker |
SPEAKER_01 |
transcript.pyannote[725].start |
1733.38034375 |
transcript.pyannote[725].end |
1736.92409375 |
transcript.pyannote[726].speaker |
SPEAKER_04 |
transcript.pyannote[726].start |
1736.28284375 |
transcript.pyannote[726].end |
1737.00846875 |
transcript.pyannote[727].speaker |
SPEAKER_01 |
transcript.pyannote[727].start |
1737.00846875 |
transcript.pyannote[727].end |
1739.37096875 |
transcript.pyannote[728].speaker |
SPEAKER_04 |
transcript.pyannote[728].start |
1737.78471875 |
transcript.pyannote[728].end |
1745.02409375 |
transcript.pyannote[729].speaker |
SPEAKER_01 |
transcript.pyannote[729].start |
1741.42971875 |
transcript.pyannote[729].end |
1742.03721875 |
transcript.pyannote[730].speaker |
SPEAKER_00 |
transcript.pyannote[730].start |
1742.03721875 |
transcript.pyannote[730].end |
1742.08784375 |
transcript.pyannote[731].speaker |
SPEAKER_00 |
transcript.pyannote[731].start |
1742.69534375 |
transcript.pyannote[731].end |
1742.72909375 |
transcript.pyannote[732].speaker |
SPEAKER_01 |
transcript.pyannote[732].start |
1742.72909375 |
transcript.pyannote[732].end |
1745.09159375 |
transcript.pyannote[733].speaker |
SPEAKER_01 |
transcript.pyannote[733].start |
1745.58096875 |
transcript.pyannote[733].end |
1748.78721875 |
transcript.pyannote[734].speaker |
SPEAKER_01 |
transcript.pyannote[734].start |
1750.57596875 |
transcript.pyannote[734].end |
1752.02721875 |
transcript.pyannote[735].speaker |
SPEAKER_01 |
transcript.pyannote[735].start |
1752.95534375 |
transcript.pyannote[735].end |
1755.63846875 |
transcript.pyannote[736].speaker |
SPEAKER_01 |
transcript.pyannote[736].start |
1756.16159375 |
transcript.pyannote[736].end |
1758.15284375 |
transcript.pyannote[737].speaker |
SPEAKER_01 |
transcript.pyannote[737].start |
1758.89534375 |
transcript.pyannote[737].end |
1760.88659375 |
transcript.pyannote[738].speaker |
SPEAKER_01 |
transcript.pyannote[738].start |
1761.69659375 |
transcript.pyannote[738].end |
1762.05096875 |
transcript.pyannote[739].speaker |
SPEAKER_01 |
transcript.pyannote[739].start |
1762.20284375 |
transcript.pyannote[739].end |
1763.24909375 |
transcript.pyannote[740].speaker |
SPEAKER_01 |
transcript.pyannote[740].start |
1763.70471875 |
transcript.pyannote[740].end |
1765.74659375 |
transcript.pyannote[741].speaker |
SPEAKER_01 |
transcript.pyannote[741].start |
1766.21909375 |
transcript.pyannote[741].end |
1767.58596875 |
transcript.pyannote[742].speaker |
SPEAKER_05 |
transcript.pyannote[742].start |
1767.58596875 |
transcript.pyannote[742].end |
1767.61971875 |
transcript.pyannote[743].speaker |
SPEAKER_05 |
transcript.pyannote[743].start |
1768.96971875 |
transcript.pyannote[743].end |
1775.04471875 |
transcript.pyannote[744].speaker |
SPEAKER_05 |
transcript.pyannote[744].start |
1775.50034375 |
transcript.pyannote[744].end |
1776.02346875 |
transcript.pyannote[745].speaker |
SPEAKER_01 |
transcript.pyannote[745].start |
1776.02346875 |
transcript.pyannote[745].end |
1778.68971875 |
transcript.pyannote[746].speaker |
SPEAKER_01 |
transcript.pyannote[746].start |
1779.09471875 |
transcript.pyannote[746].end |
1780.86659375 |
transcript.pyannote[747].speaker |
SPEAKER_01 |
transcript.pyannote[747].start |
1781.42346875 |
transcript.pyannote[747].end |
1781.94659375 |
transcript.pyannote[748].speaker |
SPEAKER_01 |
transcript.pyannote[748].start |
1782.18284375 |
transcript.pyannote[748].end |
1783.33034375 |
transcript.pyannote[749].speaker |
SPEAKER_01 |
transcript.pyannote[749].start |
1783.61721875 |
transcript.pyannote[749].end |
1785.15284375 |
transcript.pyannote[750].speaker |
SPEAKER_01 |
transcript.pyannote[750].start |
1785.62534375 |
transcript.pyannote[750].end |
1786.45221875 |
transcript.pyannote[751].speaker |
SPEAKER_01 |
transcript.pyannote[751].start |
1787.78534375 |
transcript.pyannote[751].end |
1789.91159375 |
transcript.pyannote[752].speaker |
SPEAKER_01 |
transcript.pyannote[752].start |
1790.94096875 |
transcript.pyannote[752].end |
1791.36284375 |
transcript.pyannote[753].speaker |
SPEAKER_01 |
transcript.pyannote[753].start |
1791.68346875 |
transcript.pyannote[753].end |
1793.70846875 |
transcript.pyannote[754].speaker |
SPEAKER_01 |
transcript.pyannote[754].start |
1794.41721875 |
transcript.pyannote[754].end |
1795.34534375 |
transcript.pyannote[755].speaker |
SPEAKER_01 |
transcript.pyannote[755].start |
1795.83471875 |
transcript.pyannote[755].end |
1797.60659375 |
transcript.pyannote[756].speaker |
SPEAKER_01 |
transcript.pyannote[756].start |
1797.85971875 |
transcript.pyannote[756].end |
1799.04096875 |
transcript.pyannote[757].speaker |
SPEAKER_01 |
transcript.pyannote[757].start |
1799.44596875 |
transcript.pyannote[757].end |
1800.34034375 |
transcript.pyannote[758].speaker |
SPEAKER_01 |
transcript.pyannote[758].start |
1800.67784375 |
transcript.pyannote[758].end |
1801.62284375 |
transcript.pyannote[759].speaker |
SPEAKER_01 |
transcript.pyannote[759].start |
1802.06159375 |
transcript.pyannote[759].end |
1804.76159375 |
transcript.pyannote[760].speaker |
SPEAKER_01 |
transcript.pyannote[760].start |
1805.60534375 |
transcript.pyannote[760].end |
1806.53346875 |
transcript.pyannote[761].speaker |
SPEAKER_01 |
transcript.pyannote[761].start |
1806.75284375 |
transcript.pyannote[761].end |
1810.02659375 |
transcript.pyannote[762].speaker |
SPEAKER_01 |
transcript.pyannote[762].start |
1810.56659375 |
transcript.pyannote[762].end |
1812.92909375 |
transcript.pyannote[763].speaker |
SPEAKER_01 |
transcript.pyannote[763].start |
1813.06409375 |
transcript.pyannote[763].end |
1815.25784375 |
transcript.pyannote[764].speaker |
SPEAKER_01 |
transcript.pyannote[764].start |
1815.86534375 |
transcript.pyannote[764].end |
1817.67096875 |
transcript.pyannote[765].speaker |
SPEAKER_01 |
transcript.pyannote[765].start |
1818.36284375 |
transcript.pyannote[765].end |
1819.44284375 |
transcript.pyannote[766].speaker |
SPEAKER_01 |
transcript.pyannote[766].start |
1820.69159375 |
transcript.pyannote[766].end |
1821.09659375 |
transcript.pyannote[767].speaker |
SPEAKER_01 |
transcript.pyannote[767].start |
1821.29909375 |
transcript.pyannote[767].end |
1822.83471875 |
transcript.pyannote[768].speaker |
SPEAKER_01 |
transcript.pyannote[768].start |
1823.29034375 |
transcript.pyannote[768].end |
1825.31534375 |
transcript.pyannote[769].speaker |
SPEAKER_01 |
transcript.pyannote[769].start |
1827.40784375 |
transcript.pyannote[769].end |
1831.64346875 |
transcript.pyannote[770].speaker |
SPEAKER_01 |
transcript.pyannote[770].start |
1831.79534375 |
transcript.pyannote[770].end |
1832.45346875 |
transcript.pyannote[771].speaker |
SPEAKER_04 |
transcript.pyannote[771].start |
1835.10284375 |
transcript.pyannote[771].end |
1836.40221875 |
transcript.pyannote[772].speaker |
SPEAKER_01 |
transcript.pyannote[772].start |
1836.40221875 |
transcript.pyannote[772].end |
1837.97159375 |
transcript.pyannote[773].speaker |
SPEAKER_04 |
transcript.pyannote[773].start |
1837.97159375 |
transcript.pyannote[773].end |
1838.96721875 |
transcript.whisperx[0].start |
0.569 |
transcript.whisperx[0].end |
18.585 |
transcript.whisperx[0].text |
發言第44位陳雪生委員請質詢謝謝主席是不是請院長 卓院長 謝謝麻煩再請卓院長備詢 |
transcript.whisperx[1].start |
28.871 |
transcript.whisperx[1].end |
57.573 |
transcript.whisperx[1].text |
陳委員好站了一天了,馬上下課了今天本席質詢四個感謝一個抱怨我想感謝先來好了感謝國防部國防部從善如流接受本席的建議對馬祖地區的東營指揮部還有舉光指揮部那麼在113年6月27號核定修正 |
transcript.whisperx[2].start |
59.187 |
transcript.whisperx[2].end |
86.321 |
transcript.whisperx[2].text |
國軍地域加級也是由原來的第三級調整為第二級東營跟舉光我們韓院長也在舉光當過副院長沒水沒電非常的辛苦那麼顧部長這邊從善如流謝謝您把他調整那現在問題來了亮島跟高登 |
transcript.whisperx[3].start |
87 |
transcript.whisperx[3].end |
113.488 |
transcript.whisperx[3].text |
亮島院長沒去過我不曉得顧部長去過沒有我去過一個亮島有沒有去過亮島跟高登高登在北竿旁邊距離大陸是最近的一個地區高登大概也只有幾十個人亮島也只有幾十個官兵大概兩個島不足一百個 |
transcript.whisperx[4].start |
114.741 |
transcript.whisperx[4].end |
138.281 |
transcript.whisperx[4].text |
那麼在釀島尤其辛苦我當縣長的時候每次陪同我們地區的指揮官去做軍務視察的時候他去視察我去慰問我一定到肉舖砍兩個豬腳豬腿豬腿送到那邊去他們都是吃罐頭沒有肉吃魚的話也要靠運補上去 |
transcript.whisperx[5].start |
142.25 |
transcript.whisperx[5].end |
166.725 |
transcript.whisperx[5].text |
亮島那邊大概一兩個禮拜才運補一次那裡沒有因為土質都是研盤沒有土質所以他們都是用那個寶特瓶空青菜放在裡面種植一層一層的他們吃的青菜是這樣因為普及的問題所以我在這邊建議是不是能夠把高登亮島由二級改為一級 |
transcript.whisperx[6].start |
167.779 |
transcript.whisperx[6].end |
197.06 |
transcript.whisperx[6].text |
那麼三級改為二級大概差距是兩千兩百一十塊那麼亮島跟高登只有幾十個人幾十個人是不是可以把他調整從二級調整到一級這裡面差八千塊目前亮島跟高登的這個兵員人家都不願意去了如果您的小孩在那邊當兵的話你會體諒到沒水沒電 |
transcript.whisperx[7].start |
198.22 |
transcript.whisperx[7].end |
213.39 |
transcript.whisperx[7].text |
沒有水也沒有電,非常的辛苦幾十個人過去在戰時的時候我一級48年823砲戰十週年老共要做報復我們在民國58年的時候我們全島16歲以上的婦女 |
transcript.whisperx[8].start |
223.137 |
transcript.whisperx[8].end |
249.993 |
transcript.whisperx[8].text |
年輕人不可以離境而且槍彈全部都到位所以非常非常的辛苦我們面對對面一整塊的山群非常的恐懼我們平常都要躲砲彈每天晚上都要躲這個砲彈所以那時候內心的恐懼所以我們一直怕戰爭的爆發所以現在兵兇戰委我想 |
transcript.whisperx[9].start |
250.782 |
transcript.whisperx[9].end |
255.658 |
transcript.whisperx[9].text |
左院長這邊也跟賴總統報告,我們不要贊成,我們希望和平 |
transcript.whisperx[10].start |
257.588 |
transcript.whisperx[10].end |
281.343 |
transcript.whisperx[10].text |
剛剛聽委員談到您對外島的國軍官兵送了一些食物過去我覺得我們應該為國軍弟兄向委員表示致謝我們就是要防衛我們自己,我們走向和平之道才會表示說我們應該加強自己的防衛能力我也希望院長有機會去激勵我們官兵的士氣好不好 |
transcript.whisperx[11].start |
286.274 |
transcript.whisperx[11].end |
288.397 |
transcript.whisperx[11].text |
跟委員報告,現在一級就很難殺 |
transcript.whisperx[12].start |
293.203 |
transcript.whisperx[12].end |
316.782 |
transcript.whisperx[12].text |
我們評估的結果認為高登跟亮島跟南沙地區的交通狀況還是有明顯的差異只是交通差異,問題是阿兵哥到那邊去不能回來啊沒有我想說高登跟亮島之間的交通狀況跟南沙比起來南沙還是艱困許多他們那邊已經比南沙少很多 |
transcript.whisperx[13].start |
317.382 |
transcript.whisperx[13].end |
344.634 |
transcript.whisperx[13].text |
南沙還可以發電種菜在亮島是沒有的請部長回去查一下好不好我想只有幾十個吧只有幾十位的官兵啊這個是不是請部長回去演繹好不好我並沒有說一定要怎麼樣啦我是拜託部長第二件事情就是感謝第二感謝就是北竿長崎拔長它原來是350公尺長那麼希望它現在已經變更為75公尺 |
transcript.whisperx[14].start |
346.926 |
transcript.whisperx[14].end |
376.152 |
transcript.whisperx[14].text |
那麼原來馬防部,馬組防衛部研議啊研議說要五億第一個方案要五億第二個方案要九億其實不需要嘛在北甘島上面不過五百多個兵員你不用回答我多少啦我大概心裡有數五百個兵員長訓的時間不多啊不需要那麼大的一個靶場其實一兩年之內啊他們現在是答應我們說五年之內完成簽件 |
transcript.whisperx[15].start |
377.25 |
transcript.whisperx[15].end |
406.457 |
transcript.whisperx[15].text |
因為他這個在淡黃的地區啊而且聘您國中國小縣立醫院安養中心我們運動場所以部長這一方面拜託您兩千萬足夠了啦現在用步槍的機會很少我想在馬祖啊我在那邊住了幾十年應該用飛彈的機會比較大一點用不到步槍啊但是步槍呢必須我們是一個常備的一個項目 |
transcript.whisperx[16].start |
407.543 |
transcript.whisperx[16].end |
429.071 |
transcript.whisperx[16].text |
所以部長這一方面希望國防部回去五年之內簽件這個允諾你要實現而且拜託不要那麼大的靶場靶場就是打個靶嘛是不是75公尺而已我也會打我們也常常我們在那邊常常接受民防隊訓練每年也是一年打好幾次部長你說好嗎 |
transcript.whisperx[17].start |
430.63 |
transcript.whisperx[17].end |
450.065 |
transcript.whisperx[17].text |
跟委員報告,我想這件事情因為委員長期關心我們現在一方面是調整這個涉及的週期我想這點你也知道每週五天就是只有禮拜一到禮拜五那時段就是八點半到七點半本來今年的元旦元月一號我要躺在靶場上給靶兵打店長說我要保重身體謝謝委員的體諒另外我們現在也做隔音牆 |
transcript.whisperx[18].start |
460.553 |
transcript.whisperx[18].end |
485.15 |
transcript.whisperx[18].text |
已經合撥了這個需求的預算金額所以我們會開標以後我們管制在90個工作天點內把它竣工以後就有效可以來防止噪音好,那繼續我第三個感謝馬祖飛高雄的航線部長你知道馬祖有多少個南部的官兵嗎?有900多位 |
transcript.whisperx[19].start |
486.69 |
transcript.whisperx[19].end |
514.406 |
transcript.whisperx[19].text |
900多位他們回家的路非常辛苦不是坐船就是坐飛機到松山機場還要坐高鐵才能夠到達高雄現在我們已經把這航線已經打開了當然我要感謝中油油罐車幫我們也弄了加油的部分交通部還有華航還有華信還有民航局大家都用了很大的心去做院長你有沒有聽說過 |
transcript.whisperx[20].start |
515.882 |
transcript.whisperx[20].end |
543.328 |
transcript.whisperx[20].text |
哪一家航空公司,我們花蓮也好,台中也好,台中也好,高雄也好,要縣政府補貼的,你們聽過?沒有縣政府補貼,交通部是有補貼的?我們縣政府要補貼,因為他人數不夠的話我們要補貼所以報告院長這一點拜託,還有部長來了我們固定航班時間以後,拜託不要縣政府補貼好不好?馬祖已經沒什麼錢了 |
transcript.whisperx[21].start |
544.54 |
transcript.whisperx[21].end |
566.317 |
transcript.whisperx[21].text |
即使這一次你看看這個財化法通過我一句話都沒講其實我們一般的補助款計畫型的補助款如果中央把我們扣下來我們幾億還不夠用還不夠分配是不是可能我們還倒貼所以對我們來講也不是好事所以我幾乎都沒有聲音我也沒表示意見院長部長在這邊 |
transcript.whisperx[22].start |
568.188 |
transcript.whisperx[22].end |
593.636 |
transcript.whisperx[22].text |
拜託一下不只是我們發展觀光的需求這裡面也是對我們阿兵哥官兵一個生活上的照顧兩位部長也都在能不能協力來完成那麼這個錢不要縣政府出請你們盡量去努力好不好一個月兩個月我們出得起太久的話長年下去的話縣政府你曉得我們財政分級是列第五第五級第六級 |
transcript.whisperx[23].start |
595.337 |
transcript.whisperx[23].end |
606.958 |
transcript.whisperx[23].text |
產生狀況非常的刺激,非常的不好,拜託院長可以嗎?其實其他的航線也都有補貼,你也都很清楚,因為你也常時在關心這個議題 |
transcript.whisperx[24].start |
608.12 |
transcript.whisperx[24].end |
637.45 |
transcript.whisperx[24].text |
那高雄的這個部分我們還是要看他的整體的運量就是說現在華夏航空其實很擔心就是承載量不足他會虧很多所以他會希望有補貼但補貼的金額其實如果是承載量很少的話那個補貼金額還真的是會蠻大的部長其實台灣到馬祖這個航線我們國家本來就是有責任所以台北到馬祖行的便利嘛行的安全嘛對不對本來就有這個責任啊 |
transcript.whisperx[25].start |
638.376 |
transcript.whisperx[25].end |
665.346 |
transcript.whisperx[25].text |
你為什麼說高雄飛金門都可以飛,飛馬祖不能飛沒有道理,飛澎湖也飛而且都大的飛機在飛我們現在小小的一個要求,小小的要求所以拜託部長回去研究一下,看看有什麼經費什麼樣的法令,如果法令有問題我們可以修改可以修正,好不好讓縣政府能夠喘口氣還有就是這個票價前幾天已經開過會了 |
transcript.whisperx[26].start |
667.573 |
transcript.whisperx[26].end |
695.588 |
transcript.whisperx[26].text |
要報到交通部去核定這一點拜託部長回去看他公文馬上把它批了為什麼因為他票價公布以後華信還要排班排班裡面還請部長幫忙一下我據我了解華信很像要排禮拜二但禮拜二的航班因為要配合官兵休假我們除了發展官方這裡面主要是阿兵哥阿兵哥回家日路更近所以希望在禮拜五 |
transcript.whisperx[27].start |
696.431 |
transcript.whisperx[27].end |
707.325 |
transcript.whisperx[27].text |
禮拜五的話他們禮拜六跟禮拜天他有多了兩天因為要精打細算他才有這樣的一個需求請部長能不能夠幫忙一下 |
transcript.whisperx[28].start |
707.991 |
transcript.whisperx[28].end |
732.034 |
transcript.whisperx[28].text |
報告委員這件事您也協調了好多次我們會盡量朝向委員的期望不過華信航空它整體的飛機的量能這個我們也需要考慮到因為也有其他的離島有這樣子的需求華信的董事長原來是華航的總經理他現在已經申出了是華航的董事長那麼他已經辭掉華信董事長的職務了 |
transcript.whisperx[29].start |
733.12 |
transcript.whisperx[29].end |
749.988 |
transcript.whisperx[29].text |
那麼現在華信董事長派了沒有我還不知道,派誰我也不知道我最好能夠派陳雪生的話那我最高興了這個問題不要你解決我就可以處理了但是現在董事長換了我真搞不清楚啊能不能跟華信新的董事長給他切磋一下好不好 |
transcript.whisperx[30].start |
751.104 |
transcript.whisperx[30].end |
778.249 |
transcript.whisperx[30].text |
你不要再笑啊不是,立委不能兼董事長我兼董事長?立委不能兼我不能兼,我辭掉啊你一定是一個稱職的立委不行啦,聽說罷免又要成功,要罷免我欸,院長我24小時,數月匪懈為民服務,我助理請了20幾個啊你不要看我們台中、桃園、台北,到處都是我們的鄉親啊 |
transcript.whisperx[31].start |
779.656 |
transcript.whisperx[31].end |
807.635 |
transcript.whisperx[31].text |
我24小時為他們做便民的服務,徵取經費也是第一名的所以拜託你不要去談罷免的事情我沒有談罷免的事情拜託一下因為說真的我對馬祖的鄉親非常熱愛我也熱愛這塊土地,剩下三年讓我做完好不好這一點跟你懇切的拜託好不好這個很少人在那邊談這個事情,我是第一個 |
transcript.whisperx[32].start |
808.892 |
transcript.whisperx[32].end |
828.709 |
transcript.whisperx[32].text |
第三個就是有關,顧部長請回,這是衛福部的事情第四個感謝衛福部長上任以後,當然他原來當立法委員在我的隔壁我跟他什麼事情,我們兩個如兄如弟 |
transcript.whisperx[33].start |
830.08 |
transcript.whisperx[33].end |
851.426 |
transcript.whisperx[33].text |
我跟他報告什麼事呢電腦斷層我們馬阿祖的緊急醫療後送大概一年有160位那後送過來以後有什麼問題呢電腦斷層醫生看不清楚上傳以後磨磨糊糊重新再造一次所以我們我要求他拜託他給我一個800 |
transcript.whisperx[34].start |
852.904 |
transcript.whisperx[34].end |
879.404 |
transcript.whisperx[34].text |
八百劑量的斷層後來他說我們部立院全部都是一百多切的不能單獨給你馬祖那我也OK不過他也核定了部長謝謝您雖然你沒有做到八百你當立委的時候答應我八百切但你做部長換了位子以後腦袋又換了不過我也不怪你因為全部大家一視同仁要公平那現在也很多民眾提出來說 |
transcript.whisperx[35].start |
881.068 |
transcript.whisperx[35].end |
902.255 |
transcript.whisperx[35].text |
縣立醫院能不能改部立醫院部立醫院的話要部立醫院的規模土地醫生還有儀器醫療設備等等我看需要幾十億當然以馬祖的規格目前金門厚重大概是241個我們一年厚重我們大概最近這三年了最近這三年金門是241我們是160 |
transcript.whisperx[36].start |
905.768 |
transcript.whisperx[36].end |
919.308 |
transcript.whisperx[36].text |
所以說那邊基本上的一些配備,像電腦斷層你給我了嘛這個問題,民眾的問題解決了你不然那邊照一次,這邊再照一次因為看不清楚嘛所以非常感謝我們衛福部長 |
transcript.whisperx[37].start |
920.953 |
transcript.whisperx[37].end |
947.87 |
transcript.whisperx[37].text |
有關部立醫院如果你不成立部立醫院的話起碼一些基本的配備需求神經內科神經外科還有我們腦袋現在心梗心臟心臟的問題也蠻多的後送過來心梗所以請部長能不能對這一方面再加強再注重一下,可不可以報告委員我幾件事情 |
transcript.whisperx[38].start |
948.76 |
transcript.whisperx[38].end |
971.267 |
transcript.whisperx[38].text |
我回答一下 第一個就是說有關電腦斷層其實同步那個時期澎湖醫院也是設立了128間的電腦斷層其實它是再加上現在的AI的一個處理可以把影片處理到非常的清楚所以請委員放心以後我們那邊的醫師朋友所照的 |
transcript.whisperx[39].start |
972.655 |
transcript.whisperx[39].end |
993.712 |
transcript.whisperx[39].text |
回到台灣絕對不需要再重複照重複照我再找你嘛好不好而且這可以電腦的傳遞資訊所以這個部分沒有問題至於說在強調連江縣馬祖這個部分尤其在連江縣我們從幾個角度第一個人才的培育醫療器材的一個加強 |
transcript.whisperx[40].start |
995.98 |
transcript.whisperx[40].end |
1020.465 |
transcript.whisperx[40].text |
還有整體的醫療費用的提升,其實都是給予馬祖、給予連江縣最大的努力我想這個部分在幾戶方面也是給予家層加了30%、50%我們兩個人不談政治,我們是兄弟就跟周越南一樣,我們也是好朋友,也是跟兄弟如兄如弟一樣 |
transcript.whisperx[41].start |
1021.465 |
transcript.whisperx[41].end |
1047.924 |
transcript.whisperx[41].text |
我也敬佩,我也不會跟你們爭一張嘴啦對這個連江縣的縣民長期的關心我們一定不管我在過去或者是在現在因為那邊太多醫師的朋友了我們一樣都希望他們有一個好的醫療環境來把我們的縣民照顧好謝謝部長好不好你請回,謝謝院長,那現在我要談到我的抱怨我要談到馬祖大俏 |
transcript.whisperx[42].start |
1051.547 |
transcript.whisperx[42].end |
1080.383 |
transcript.whisperx[42].text |
我還有應該算算不到三年的時間任期就要屆滿了我的年齡也應該差不多了這個馬祖大橋我每天都在關心這個事情從107年我們賴總統時任院長的時候我到行政院找他他馬上就把它批了,綜合規劃他就批了批了以後交通部速度也很快 |
transcript.whisperx[43].start |
1081.038 |
transcript.whisperx[43].end |
1098.404 |
transcript.whisperx[43].text |
折騰公路總局馬上做計畫110年其中報告就出來了送到行政院110年送到行政院以後不停的行政院秘書處還有國發會交通部這個公文一直轉來轉去那個效率實在 |
transcript.whisperx[44].start |
1106.721 |
transcript.whisperx[44].end |
1121.352 |
transcript.whisperx[44].text |
我非常驚人,抓了112年,一整年我不知道躺在誰的桌子上,我看不到也追蹤不到好,112年不見了後來報到113年到國發會國發會說送到英國 |
transcript.whisperx[45].start |
1134.059 |
transcript.whisperx[45].end |
1161.892 |
transcript.whisperx[45].text |
這個殷商奧亞納工程顧問公司做第三方的認證認證什麼呢認證技術有沒有問題認證技術有沒有問題那已經也回來了啊技術也沒問題啊我想賴總統時任院長的時候對我們馬祖大家有承諾喔他的攸關馬祖未來百年發展大街的橋是馬祖人應得的大橋案在自己的手中推動 |
transcript.whisperx[46].start |
1162.677 |
transcript.whisperx[46].end |
1182.789 |
transcript.whisperx[46].text |
一定全力促成這是他第一次的承諾然後賴總統也到縣地去會勘這個南北岸大橋大概3.1公里長他預計要8年完工賴總統也表示經費不是問題當然現在這個經費一直到288億我有一件事情我要拜託 |
transcript.whisperx[47].start |
1194.031 |
transcript.whisperx[47].end |
1219.296 |
transcript.whisperx[47].text |
這個公文輾轉來輾轉去那前幾天在院會的時候我也跟卓院長報告卓院長說一直沒看到這個案子我就非常震驚啊這麼重要的事情我在立法院每一年每一次都在總諮詢的時候向院長提出來 |
transcript.whisperx[48].start |
1221.004 |
transcript.whisperx[48].end |
1249.471 |
transcript.whisperx[48].text |
爭取南北岸跨海大橋也就是馬祖大橋但是院長說不知道沒看到公文我非常的驚訝我是說這個公文跑哪裡去了這麼重要的事情賴總統親口答應的事情而且院長我也口頭跟你報告好幾次但你就看不到這公文所以這公文一直在國發會交通部一直在秘書長行政院秘書處那邊一直在打轉 |
transcript.whisperx[49].start |
1251.377 |
transcript.whisperx[49].end |
1275.915 |
transcript.whisperx[49].text |
我想我不曉得什麼時候才能看到院長讓您看到我要親自拿去給你看嗎我跟委員報告這個工程當然是複雜而且挑戰性很大經過國內國外的工程顧問做了很多的評估目前委員剛剛所說經費達到288億其實上他已經再度修正已經提高到392億 |
transcript.whisperx[50].start |
1280.765 |
transcript.whisperx[50].end |
1300.586 |
transcript.whisperx[50].text |
金門機場評估的時候,我們馬祖機場剛剛評估的時候說要幾百億後來十幾億,十幾二十億我們馬祖南港機場做起來啦所以你不要聽那個啦,你要不想幫我做的話你說這個大橋啊,評估要兩千億因為它有南港機場存廢的問題北港機場要 |
transcript.whisperx[51].start |
1304.13 |
transcript.whisperx[51].end |
1323.201 |
transcript.whisperx[51].text |
修整建的問題,還有大橋的問題,整個合起來談我們還聽到有不同的聲音,主要是現在修正到392億所以我們必須要重新再修正392億誰修正的?是世西嗎?我不曉得是誰修正的?國發會有這樣的專家嗎?他沒有經過一個細部的設計,沒有經過建設計畫的啟動 |
transcript.whisperx[52].start |
1330.097 |
transcript.whisperx[52].end |
1351.725 |
transcript.whisperx[52].text |
他怎麼知道是那麼多億咧?所以我們現在看到的是這樣一個初步的一個概算所以我希望他重新院內還在重新再也不是用含的也不是用吹的一定要詳細精算部長您知道是300多億嗎?你聽過嗎?這個部分我們要回去再了解一下 |
transcript.whisperx[53].start |
1352.288 |
transcript.whisperx[53].end |
1375.407 |
transcript.whisperx[53].text |
不是現在了解,這是你公路總局在精算的公路總局委託4C工程設計公司在弄的4C是我們國內頂尖的這段時間確實整個工程的經費一直在上升委員長期一直關心這個做大橋所以我要跟你報告的是現在最新的發展跟進度不是我是說院長你聽誰講的,誰跟你報告的 |
transcript.whisperx[54].start |
1377.809 |
transcript.whisperx[54].end |
1398.776 |
transcript.whisperx[54].text |
哪一個單位跟你報告呢你回答我好不好哪一個單位跟你報告呢這個是在院內的公文我們綜合起來算他一個概算之後要有人算嘛總是要有人算啦1加1等於2總要有人算出來嘛不是我現在我們還在內部在要求重新核定這個數字為什麼會從288億會漲到390億我想這是馬祖人未來的夢他這個跟機場一定要結合 |
transcript.whisperx[55].start |
1407.478 |
transcript.whisperx[55].end |
1436.477 |
transcript.whisperx[55].text |
欄杆機場要把它停掉欄杆機場的跑道頭端太危險了我每次坐飛機回去我家裡面試試過我每次飛機降落我都怕尤其飛機重飛的時候多恐怖你知道嗎很恐怖你不要造成人命理由再來檢討問題就為時已晚太慢了我希望我身為立法委員我身為馬拉圖的立法委員我一定要在中央來發聲拜託懇求院長回去 |
transcript.whisperx[56].start |
1437.741 |
transcript.whisperx[56].end |
1460.178 |
transcript.whisperx[56].text |
馬上把他進入建設計畫讓他去做細部設計讓細部設計出來因為前面的綜合規劃已經花了1億5千萬了已經花了1億5千萬了所以我剛剛有報告北竿機場的改善這工程的規劃南竿機場的存廢問題南竿機場一定要這個馬祖大橋現在重新修正出來這麼392億的這個預算我們要把它做一個 |
transcript.whisperx[57].start |
1467.967 |
transcript.whisperx[57].end |
1495.21 |
transcript.whisperx[57].text |
你看前院長,蘇貞昌院長,他錢不是問題賴清德院長,錢不是問題390而已就390而已嘛你桃園一個地鐵,從空中變成地下,600億元你都花了,是不是?難道跟一張離島你不重視嗎?而且我們不是一次到位8年的時程,一年花三五十億,我其他的錢可以不要你這個財化法怎麼錢,我一毛錢都不要 |
transcript.whisperx[58].start |
1495.99 |
transcript.whisperx[58].end |
1522.212 |
transcript.whisperx[58].text |
拜託這個事情嘛,一年啊法律就是不是您要不要我們也可以說大家都不要,但是不行這樣說不要我不用也可以嘛,是不是我可以不用嗎?是不是我們陷入到一個非常不穩定的中央與地方的財政的劃分的一個狀態裡面下那如果這個合定的是300多億,那到底是中央還是地方我們不要爭議時啦,我們要爭千秋馬祖這個大橋啊,馬祖大橋 |
transcript.whisperx[59].start |
1525.626 |
transcript.whisperx[59].end |
1549.529 |
transcript.whisperx[59].text |
在朱院長手上批渴在賴總統手上核定我們會感謝你們的好不好我們馬祖真的你看我有介入政黨的問題嗎有跟你談政治的問題嗎我從來沒有我從來沒有有責難過行政院嗎也從來沒有好不好我想院長希望趕快進入建設計畫剛才我不停的質詢您就是說 |
transcript.whisperx[60].start |
1550.478 |
transcript.whisperx[60].end |
1579.968 |
transcript.whisperx[60].text |
你的消息從哪裡來的?你的數字是怎麼出來的?你講個五百億,講個一千億,你就把我砍臼了嘛,是不是?這樣是沒有道理,對我是不公平的啊你到底是誰算出來?如果世襲算出來,需要五百、一千億我給你下跪算啦我太口氣而已,是不是?但是不是這樣嘛你不聽國發會裡面的人,隨便算一下就出來了是不是?我不曉得他是哪裡算出來的這個拜託院長好不好 |
transcript.whisperx[61].start |
1580.675 |
transcript.whisperx[61].end |
1595.123 |
transcript.whisperx[61].text |
讓他進入建設計畫讓他進入建設計畫我卸任的話我死也瞑目啊對不對,我陳宇人有努力過,我有衝刺過我不要讓人家講我陳宇人你在騙人人家說我在騙人啊,說我在騙人啊 |
transcript.whisperx[62].start |
1595.788 |
transcript.whisperx[62].end |
1609.102 |
transcript.whisperx[62].text |
是不是,我沒有騙我的民眾,我很努力在工作我覺得今天把現在最新的發展跟委員報告,委員也可以跟鄉親說明,那目前我們再重新檢討那個數字是虛無縹緲了 |
transcript.whisperx[63].start |
1611.485 |
transcript.whisperx[63].end |
1626.992 |
transcript.whisperx[63].text |
是空中樓格誰算出來的委員我說明一下因為這個深度達到60米是全球也少見的所以我們送到英國去以後呢然後重新的檢討也同時重新檢討你花500萬給英國算你找英國誰算 |
transcript.whisperx[64].start |
1628.593 |
transcript.whisperx[64].end |
1648.64 |
transcript.whisperx[64].text |
你給他付薪水都不夠,他有到馬祖來過嗎?有看過水深是多深嗎?我上次有跟委員報告過,我們是建立在世新的規劃書上面的基礎因為他已經規劃得很完整我們只是去驗證這樣的一個深度,國內沒有經驗然後看看國外有沒有這樣的經驗你建設計畫花不了多少錢?院長 |
transcript.whisperx[65].start |
1652.526 |
transcript.whisperx[65].end |
1662.777 |
transcript.whisperx[65].text |
後面有多少錢?你把建設計畫裡面細色、詳細弄出來,那才是叫數字啊,是不是?你國發會有這樣的人才嗎?你海洋大學畢業,你就可以講說300億、500億、800億所以我們送到英國去,請英國的專家來寫證 |
transcript.whisperx[66].start |
1674.629 |
transcript.whisperx[66].end |
1689.325 |
transcript.whisperx[66].text |
英國人有講要400多億嗎?英國的專家至少他們比較有經驗看到國外的經驗,因為我們國內沒有這樣的經驗世新也沒有這樣的經驗所以我們要再次的驗證,我們追蹤世新的專業但是我們希望再經過第二次的驗證國內的技術 |
transcript.whisperx[67].start |
1696.941 |
transcript.whisperx[67].end |
1715.495 |
transcript.whisperx[67].text |
專家你不去聽,外國約量比較遠委員我們這樣是在保障馬祖元的安全五百萬是什麼?五百萬在英國眼中是什麼?是不是OB是什麼錢你知道嗎?所以拜託,院長這個幫我們進入建設計畫我想行政院秘書長今天也有來秘書長 |
transcript.whisperx[68].start |
1716.26 |
transcript.whisperx[68].end |
1743.528 |
transcript.whisperx[68].text |
拜託一下好不好你送上去給院長看嘛 送上去給總統批嘛好不好你不能在那邊跟我這樣子講包括我本人 主委 部長我們都有掌握這個狀況 新的發展你也可以講說五百億啊 一千億啊沒有沒有 這絕對不是空口亂講你國發會有沒有在那胡扯八道國發會有這樣的專家 你把專家拿出來給我看誰啊這是透過專業的一個評估 但是我就是從頭再來看這樣的評估到底準確如何 |
transcript.whisperx[69].start |
1745.809 |
transcript.whisperx[69].end |
1767.416 |
transcript.whisperx[69].text |
還有離島建設基金剩下8.86億我歷史跟陳玉珍委員還有楊耀維諸君你們說隨時撥補問你剩下8.86億你一年要花掉3億起碼吧你到現在怎麼辦很多案子到你們那邊可能就停擺了那離島基金就沒了嘛 |
transcript.whisperx[70].start |
1769.008 |
transcript.whisperx[70].end |
1793.222 |
transcript.whisperx[70].text |
委員我們現在是一年編列酒業的預算但是我們今年被砍掉了6%在大院你回去檢討一下,現在時間還剩下55秒小山通啊,拜託一下他們說團過來,我們又再阻止他團現在不來了馬祖街道冷冷清清啊真的所有旅館全部空蕩蕩的 |
transcript.whisperx[71].start |
1794.451 |
transcript.whisperx[71].end |
1822.014 |
transcript.whisperx[71].text |
民運部聊生所以請院長交通部有機會過去看一看陸委會這邊也謝謝我們邱主委很關心我們真的都給我們跟大陸盡量不要吵架了這樣弄下去我的心情被你們搞亂了我立委都不想幹了不要說罷免我最好今天就辭職算了我都幹不下去啦你知道嗎我都幹不下去啦院長你覺得陳遠勝這個兄弟 |
transcript.whisperx[72].start |
1823.342 |
transcript.whisperx[72].end |
1832.105 |
transcript.whisperx[72].text |
你要我留在立法院還是要我離開請你多支持我好不好請你今天結束以後多休息你多支持啊今天 |