IVOD_ID |
160162 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160162 |
日期 |
2025-04-15 |
會議資料.會議代碼 |
院會-11-3-7 |
會議資料.會議代碼:str |
第11屆第3會期第7次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
7 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第7次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-15T10:47:28+08:00 |
結束時間 |
2025-04-15T11:18:28+08:00 |
影片長度 |
00:31:00 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ff8fb8a229f5b3ff9985b3670cf9e9ca07f87cc90aeb78e39b53bf68f23d1bafee4908f1f42fde8f5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
洪孟楷 |
委員發言時間 |
10:47:28 - 11:18:28 |
會議時間 |
2025-04-15T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11日上午9時至10時為國是論壇時間。) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
7.00034375 |
transcript.pyannote[0].end |
9.19409375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
9.34596875 |
transcript.pyannote[1].end |
10.86471875 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
20.73659375 |
transcript.pyannote[2].end |
21.98534375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
22.17096875 |
transcript.pyannote[3].end |
27.73971875 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
27.89159375 |
transcript.pyannote[4].end |
30.42284375 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
30.76034375 |
transcript.pyannote[5].end |
34.32096875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
34.69221875 |
transcript.pyannote[6].end |
35.56971875 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
36.04221875 |
transcript.pyannote[7].end |
44.39534375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
44.73284375 |
transcript.pyannote[8].end |
52.07346875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
52.93409375 |
transcript.pyannote[9].end |
56.66346875 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
58.09784375 |
transcript.pyannote[10].end |
59.58284375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
60.02159375 |
transcript.pyannote[11].end |
65.26971875 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
65.74221875 |
transcript.pyannote[12].end |
76.47471875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
76.86284375 |
transcript.pyannote[13].end |
77.48721875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
77.87534375 |
transcript.pyannote[14].end |
85.78971875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
86.21159375 |
transcript.pyannote[15].end |
90.81846875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
88.70909375 |
transcript.pyannote[16].end |
88.84409375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
91.03784375 |
transcript.pyannote[17].end |
92.77596875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
91.61159375 |
transcript.pyannote[18].end |
92.82659375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
93.46784375 |
transcript.pyannote[19].end |
102.42846875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
103.86284375 |
transcript.pyannote[20].end |
104.70659375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
104.94284375 |
transcript.pyannote[21].end |
106.09034375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
106.57971875 |
transcript.pyannote[22].end |
111.87846875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
112.16534375 |
transcript.pyannote[23].end |
114.03846875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
113.66721875 |
transcript.pyannote[24].end |
113.70096875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
114.03846875 |
transcript.pyannote[25].end |
114.30846875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
114.30846875 |
transcript.pyannote[26].end |
114.84846875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
114.84846875 |
transcript.pyannote[27].end |
119.28659375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
119.23596875 |
transcript.pyannote[28].end |
119.25284375 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
119.25284375 |
transcript.pyannote[29].end |
119.53971875 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
119.47221875 |
transcript.pyannote[30].end |
122.03721875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
119.53971875 |
transcript.pyannote[31].end |
119.69159375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
119.79284375 |
transcript.pyannote[32].end |
119.97846875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
122.03721875 |
transcript.pyannote[33].end |
122.40846875 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
122.40846875 |
transcript.pyannote[34].end |
122.45909375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
122.77971875 |
transcript.pyannote[35].end |
130.17096875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
130.17096875 |
transcript.pyannote[36].end |
131.90909375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
130.20471875 |
transcript.pyannote[37].end |
130.22159375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
130.22159375 |
transcript.pyannote[38].end |
130.94721875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
130.94721875 |
transcript.pyannote[39].end |
130.98096875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
132.60096875 |
transcript.pyannote[40].end |
138.27096875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
138.62534375 |
transcript.pyannote[41].end |
139.50284375 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
140.14409375 |
transcript.pyannote[42].end |
145.51034375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
145.96596875 |
transcript.pyannote[43].end |
164.19096875 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
164.46096875 |
transcript.pyannote[44].end |
167.44784375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
167.44784375 |
transcript.pyannote[45].end |
169.99596875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
170.33346875 |
transcript.pyannote[46].end |
180.62721875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
170.36721875 |
transcript.pyannote[47].end |
171.63284375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
171.63284375 |
transcript.pyannote[48].end |
171.66659375 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
172.52721875 |
transcript.pyannote[49].end |
174.97409375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
179.73284375 |
transcript.pyannote[50].end |
184.39034375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
185.58846875 |
transcript.pyannote[51].end |
185.60534375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
185.60534375 |
transcript.pyannote[52].end |
192.92909375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
193.57034375 |
transcript.pyannote[53].end |
198.32909375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
198.58221875 |
transcript.pyannote[54].end |
207.96471875 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
207.96471875 |
transcript.pyannote[55].end |
209.41596875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
209.63534375 |
transcript.pyannote[56].end |
215.03534375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
215.03534375 |
transcript.pyannote[57].end |
216.46971875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
216.84096875 |
transcript.pyannote[58].end |
226.84784375 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
220.68846875 |
transcript.pyannote[59].end |
222.93284375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
225.54846875 |
transcript.pyannote[60].end |
230.72909375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
226.93221875 |
transcript.pyannote[61].end |
227.10096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
229.68284375 |
transcript.pyannote[62].end |
230.49284375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
231.23534375 |
transcript.pyannote[63].end |
237.51284375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
237.96846875 |
transcript.pyannote[64].end |
240.22971875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
240.28034375 |
transcript.pyannote[65].end |
240.58409375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
240.63471875 |
transcript.pyannote[66].end |
250.81034375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
250.81034375 |
transcript.pyannote[67].end |
258.16784375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
251.21534375 |
transcript.pyannote[68].end |
252.29534375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
255.50159375 |
transcript.pyannote[69].end |
256.86846875 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
256.98659375 |
transcript.pyannote[70].end |
263.97284375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
264.37784375 |
transcript.pyannote[71].end |
265.52534375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
266.08221875 |
transcript.pyannote[72].end |
267.34784375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
267.34784375 |
transcript.pyannote[73].end |
267.38159375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
268.14096875 |
transcript.pyannote[74].end |
273.25409375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
272.25846875 |
transcript.pyannote[75].end |
272.73096875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
272.73096875 |
transcript.pyannote[76].end |
272.76471875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
273.79409375 |
transcript.pyannote[77].end |
277.72596875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
276.52784375 |
transcript.pyannote[78].end |
276.93284375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
278.08034375 |
transcript.pyannote[79].end |
288.96471875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
278.11409375 |
transcript.pyannote[80].end |
278.97471875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
278.97471875 |
transcript.pyannote[81].end |
280.83096875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
288.96471875 |
transcript.pyannote[82].end |
289.13346875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
289.13346875 |
transcript.pyannote[83].end |
289.15034375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
289.15034375 |
transcript.pyannote[84].end |
289.16721875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
289.43721875 |
transcript.pyannote[85].end |
289.45409375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
289.45409375 |
transcript.pyannote[86].end |
289.85909375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
289.85909375 |
transcript.pyannote[87].end |
290.02784375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
290.07846875 |
transcript.pyannote[88].end |
290.11221875 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
290.11221875 |
transcript.pyannote[89].end |
291.58034375 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
291.79971875 |
transcript.pyannote[90].end |
293.58846875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
294.21284375 |
transcript.pyannote[91].end |
309.09659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
309.09659375 |
transcript.pyannote[92].end |
309.13034375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
309.45096875 |
transcript.pyannote[93].end |
309.97409375 |
transcript.pyannote[94].speaker |
SPEAKER_04 |
transcript.pyannote[94].start |
309.53534375 |
transcript.pyannote[94].end |
309.55221875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
309.55221875 |
transcript.pyannote[95].end |
309.95721875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
309.97409375 |
transcript.pyannote[96].end |
315.50909375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
313.18034375 |
transcript.pyannote[97].end |
313.58534375 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
313.97346875 |
transcript.pyannote[98].end |
314.20971875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
315.72846875 |
transcript.pyannote[99].end |
315.81284375 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
315.81284375 |
transcript.pyannote[100].end |
315.82971875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
315.82971875 |
transcript.pyannote[101].end |
315.99846875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
315.99846875 |
transcript.pyannote[102].end |
322.54596875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
322.81596875 |
transcript.pyannote[103].end |
323.06909375 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
323.45721875 |
transcript.pyannote[104].end |
328.97534375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
329.88659375 |
transcript.pyannote[105].end |
331.32096875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
331.59096875 |
transcript.pyannote[106].end |
336.01221875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
335.30346875 |
transcript.pyannote[107].end |
335.43846875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
336.26534375 |
transcript.pyannote[108].end |
336.31596875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
336.31596875 |
transcript.pyannote[109].end |
342.91409375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
336.38346875 |
transcript.pyannote[110].end |
336.68721875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
343.60596875 |
transcript.pyannote[111].end |
344.02784375 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
344.50034375 |
transcript.pyannote[112].end |
345.44534375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
346.25534375 |
transcript.pyannote[113].end |
361.03784375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
350.27159375 |
transcript.pyannote[114].end |
351.13221875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
357.30846875 |
transcript.pyannote[115].end |
357.76409375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
361.03784375 |
transcript.pyannote[116].end |
363.02909375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
364.19346875 |
transcript.pyannote[117].end |
368.74971875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
368.91846875 |
transcript.pyannote[118].end |
371.50034375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
371.92221875 |
transcript.pyannote[119].end |
378.21659375 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
376.54596875 |
transcript.pyannote[120].end |
381.76034375 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
382.13159375 |
transcript.pyannote[121].end |
384.93284375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
382.99221875 |
transcript.pyannote[122].end |
385.99596875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
386.08034375 |
transcript.pyannote[123].end |
390.40034375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
390.67034375 |
transcript.pyannote[124].end |
393.69096875 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
391.71659375 |
transcript.pyannote[125].end |
391.75034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
391.75034375 |
transcript.pyannote[126].end |
391.93596875 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
391.93596875 |
transcript.pyannote[127].end |
391.98659375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
393.69096875 |
transcript.pyannote[128].end |
393.74159375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
394.21409375 |
transcript.pyannote[129].end |
398.23034375 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
398.46659375 |
transcript.pyannote[130].end |
399.44534375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
399.96846875 |
transcript.pyannote[131].end |
402.12846875 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
402.38159375 |
transcript.pyannote[132].end |
404.44034375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
404.74409375 |
transcript.pyannote[133].end |
407.76471875 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
408.27096875 |
transcript.pyannote[134].end |
408.64221875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
408.97971875 |
transcript.pyannote[135].end |
413.41784375 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
413.78909375 |
transcript.pyannote[136].end |
427.84596875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
428.18346875 |
transcript.pyannote[137].end |
431.32221875 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
429.78659375 |
transcript.pyannote[138].end |
443.55659375 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
443.97846875 |
transcript.pyannote[139].end |
445.26096875 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
445.56471875 |
transcript.pyannote[140].end |
448.02846875 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
449.04096875 |
transcript.pyannote[141].end |
457.02284375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
457.71471875 |
transcript.pyannote[142].end |
459.16596875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
459.80721875 |
transcript.pyannote[143].end |
462.42284375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
463.06409375 |
transcript.pyannote[144].end |
464.14409375 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
464.70096875 |
transcript.pyannote[145].end |
466.21971875 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
466.45596875 |
transcript.pyannote[146].end |
468.90284375 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
469.07159375 |
transcript.pyannote[147].end |
470.01659375 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
470.70846875 |
transcript.pyannote[148].end |
471.70409375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
472.19346875 |
transcript.pyannote[149].end |
474.75846875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
477.20534375 |
transcript.pyannote[150].end |
483.70221875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
484.96784375 |
transcript.pyannote[151].end |
488.29221875 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
486.92534375 |
transcript.pyannote[152].end |
491.39721875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
489.94596875 |
transcript.pyannote[153].end |
491.46471875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
491.80221875 |
transcript.pyannote[154].end |
495.64971875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
494.38409375 |
transcript.pyannote[155].end |
512.82846875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
498.41721875 |
transcript.pyannote[156].end |
498.43409375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
498.43409375 |
transcript.pyannote[157].end |
498.45096875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
498.45096875 |
transcript.pyannote[158].end |
501.11721875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
504.08721875 |
transcript.pyannote[159].end |
506.85471875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
512.96346875 |
transcript.pyannote[160].end |
516.01784375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
516.62534375 |
transcript.pyannote[161].end |
519.07221875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
519.25784375 |
transcript.pyannote[162].end |
520.38846875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
520.70909375 |
transcript.pyannote[163].end |
521.65409375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
522.39659375 |
transcript.pyannote[164].end |
525.68721875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
526.37909375 |
transcript.pyannote[165].end |
529.38284375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
529.58534375 |
transcript.pyannote[166].end |
531.32346875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
531.32346875 |
transcript.pyannote[167].end |
531.37409375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
531.49221875 |
transcript.pyannote[168].end |
531.54284375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
531.54284375 |
transcript.pyannote[169].end |
531.96471875 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
531.96471875 |
transcript.pyannote[170].end |
533.11221875 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
534.22596875 |
transcript.pyannote[171].end |
534.64784375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
535.45784375 |
transcript.pyannote[172].end |
538.07346875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
538.93409375 |
transcript.pyannote[173].end |
545.46471875 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
545.54909375 |
transcript.pyannote[174].end |
547.01721875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
548.24909375 |
transcript.pyannote[175].end |
548.45159375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
548.45159375 |
transcript.pyannote[176].end |
551.15159375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
551.92784375 |
transcript.pyannote[177].end |
554.74596875 |
transcript.pyannote[178].speaker |
SPEAKER_04 |
transcript.pyannote[178].start |
555.03284375 |
transcript.pyannote[178].end |
555.31971875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
555.60659375 |
transcript.pyannote[179].end |
558.01971875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
558.44159375 |
transcript.pyannote[180].end |
563.33534375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
563.55471875 |
transcript.pyannote[181].end |
566.13659375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
566.47409375 |
transcript.pyannote[182].end |
568.31346875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
568.60034375 |
transcript.pyannote[183].end |
570.13596875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
571.01346875 |
transcript.pyannote[184].end |
571.18221875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
571.72221875 |
transcript.pyannote[185].end |
573.96659375 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
573.96659375 |
transcript.pyannote[186].end |
580.14284375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
580.32846875 |
transcript.pyannote[187].end |
586.65659375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
586.84221875 |
transcript.pyannote[188].end |
595.41471875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
588.04034375 |
transcript.pyannote[189].end |
589.01909375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
590.63909375 |
transcript.pyannote[190].end |
590.65596875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
590.67284375 |
transcript.pyannote[191].end |
590.68971875 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
595.58346875 |
transcript.pyannote[192].end |
602.78909375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
595.63409375 |
transcript.pyannote[193].end |
596.12346875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
596.12346875 |
transcript.pyannote[194].end |
596.14034375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
599.24534375 |
transcript.pyannote[195].end |
599.73471875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
600.69659375 |
transcript.pyannote[196].end |
602.80596875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
602.80596875 |
transcript.pyannote[197].end |
602.90721875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
602.90721875 |
transcript.pyannote[198].end |
612.50909375 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
604.54409375 |
transcript.pyannote[199].end |
605.03346875 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
606.18096875 |
transcript.pyannote[200].end |
606.58596875 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
608.29034375 |
transcript.pyannote[201].end |
608.94846875 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
611.15909375 |
transcript.pyannote[202].end |
616.94721875 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
616.96409375 |
transcript.pyannote[203].end |
617.03159375 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
617.06534375 |
transcript.pyannote[204].end |
620.17034375 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
620.23784375 |
transcript.pyannote[205].end |
620.28846875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
620.28846875 |
transcript.pyannote[206].end |
624.35534375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
620.37284375 |
transcript.pyannote[207].end |
620.38971875 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
620.47409375 |
transcript.pyannote[208].end |
621.41909375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
623.15721875 |
transcript.pyannote[209].end |
623.61284375 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
623.84909375 |
transcript.pyannote[210].end |
624.37221875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
624.37221875 |
transcript.pyannote[211].end |
625.97534375 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
625.97534375 |
transcript.pyannote[212].end |
626.17784375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
626.39721875 |
transcript.pyannote[213].end |
626.41409375 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
626.41409375 |
transcript.pyannote[214].end |
640.97721875 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
641.28096875 |
transcript.pyannote[215].end |
642.68159375 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
643.82909375 |
transcript.pyannote[216].end |
645.85409375 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
645.87096875 |
transcript.pyannote[217].end |
654.74721875 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
655.18596875 |
transcript.pyannote[218].end |
655.84409375 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
656.29971875 |
transcript.pyannote[219].end |
658.45971875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
658.54409375 |
transcript.pyannote[220].end |
659.06721875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
659.99534375 |
transcript.pyannote[221].end |
660.95721875 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
661.39596875 |
transcript.pyannote[222].end |
662.18909375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
662.42534375 |
transcript.pyannote[223].end |
666.64409375 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
666.72846875 |
transcript.pyannote[224].end |
667.33596875 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
668.14596875 |
transcript.pyannote[225].end |
668.78721875 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
669.39471875 |
transcript.pyannote[226].end |
670.03596875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
670.03596875 |
transcript.pyannote[227].end |
671.35221875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
672.34784375 |
transcript.pyannote[228].end |
673.79909375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
673.93409375 |
transcript.pyannote[229].end |
674.28846875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
674.99721875 |
transcript.pyannote[230].end |
681.96659375 |
transcript.pyannote[231].speaker |
SPEAKER_03 |
transcript.pyannote[231].start |
677.81534375 |
transcript.pyannote[231].end |
678.52409375 |
transcript.pyannote[232].speaker |
SPEAKER_03 |
transcript.pyannote[232].start |
679.62096875 |
transcript.pyannote[232].end |
680.16096875 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
681.96659375 |
transcript.pyannote[233].end |
682.01721875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
682.01721875 |
transcript.pyannote[234].end |
682.55721875 |
transcript.pyannote[235].speaker |
SPEAKER_03 |
transcript.pyannote[235].start |
682.55721875 |
transcript.pyannote[235].end |
682.67534375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
682.67534375 |
transcript.pyannote[236].end |
682.69221875 |
transcript.pyannote[237].speaker |
SPEAKER_03 |
transcript.pyannote[237].start |
682.69221875 |
transcript.pyannote[237].end |
685.74659375 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
685.96596875 |
transcript.pyannote[238].end |
693.57659375 |
transcript.pyannote[239].speaker |
SPEAKER_03 |
transcript.pyannote[239].start |
694.01534375 |
transcript.pyannote[239].end |
699.71909375 |
transcript.pyannote[240].speaker |
SPEAKER_03 |
transcript.pyannote[240].start |
699.97221875 |
transcript.pyannote[240].end |
702.67221875 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
703.04346875 |
transcript.pyannote[241].end |
711.05909375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
711.05909375 |
transcript.pyannote[242].end |
711.07596875 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
711.07596875 |
transcript.pyannote[243].end |
711.09284375 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
711.39659375 |
transcript.pyannote[244].end |
712.03784375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
712.03784375 |
transcript.pyannote[245].end |
716.30721875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
716.74596875 |
transcript.pyannote[246].end |
718.46721875 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
718.46721875 |
transcript.pyannote[247].end |
718.48409375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
719.58096875 |
transcript.pyannote[248].end |
719.69909375 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
719.69909375 |
transcript.pyannote[249].end |
723.39471875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
719.71596875 |
transcript.pyannote[250].end |
720.03659375 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
720.03659375 |
transcript.pyannote[251].end |
720.17159375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
720.17159375 |
transcript.pyannote[252].end |
720.47534375 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
720.47534375 |
transcript.pyannote[253].end |
721.99409375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
721.99409375 |
transcript.pyannote[254].end |
722.09534375 |
transcript.pyannote[255].speaker |
SPEAKER_03 |
transcript.pyannote[255].start |
723.41159375 |
transcript.pyannote[255].end |
730.58346875 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
731.29221875 |
transcript.pyannote[256].end |
738.02534375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
738.02534375 |
transcript.pyannote[257].end |
747.96471875 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
743.13846875 |
transcript.pyannote[258].end |
744.69096875 |
transcript.pyannote[259].speaker |
SPEAKER_03 |
transcript.pyannote[259].start |
744.69096875 |
transcript.pyannote[259].end |
745.02846875 |
transcript.pyannote[260].speaker |
SPEAKER_03 |
transcript.pyannote[260].start |
745.75409375 |
transcript.pyannote[260].end |
746.61471875 |
transcript.pyannote[261].speaker |
SPEAKER_03 |
transcript.pyannote[261].start |
747.96471875 |
transcript.pyannote[261].end |
757.97159375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
748.47096875 |
transcript.pyannote[262].end |
748.74096875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
749.16284375 |
transcript.pyannote[263].end |
750.04034375 |
transcript.pyannote[264].speaker |
SPEAKER_03 |
transcript.pyannote[264].start |
758.49471875 |
transcript.pyannote[264].end |
762.17346875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
762.17346875 |
transcript.pyannote[265].end |
762.52784375 |
transcript.pyannote[266].speaker |
SPEAKER_03 |
transcript.pyannote[266].start |
762.52784375 |
transcript.pyannote[266].end |
763.00034375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
762.61221875 |
transcript.pyannote[267].end |
763.55721875 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
763.55721875 |
transcript.pyannote[268].end |
771.04971875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
767.43846875 |
transcript.pyannote[269].end |
768.24846875 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
771.53909375 |
transcript.pyannote[270].end |
784.02659375 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
777.29346875 |
transcript.pyannote[271].end |
778.82909375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
781.46159375 |
transcript.pyannote[272].end |
782.00159375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
782.47409375 |
transcript.pyannote[273].end |
783.53721875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
784.02659375 |
transcript.pyannote[274].end |
791.31659375 |
transcript.pyannote[275].speaker |
SPEAKER_03 |
transcript.pyannote[275].start |
785.08971875 |
transcript.pyannote[275].end |
786.35534375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
791.62034375 |
transcript.pyannote[276].end |
792.17721875 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
792.73409375 |
transcript.pyannote[277].end |
798.03284375 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
798.03284375 |
transcript.pyannote[278].end |
799.85534375 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
800.29409375 |
transcript.pyannote[279].end |
807.97221875 |
transcript.pyannote[280].speaker |
SPEAKER_03 |
transcript.pyannote[280].start |
801.76221875 |
transcript.pyannote[280].end |
802.20096875 |
transcript.pyannote[281].speaker |
SPEAKER_03 |
transcript.pyannote[281].start |
804.86721875 |
transcript.pyannote[281].end |
805.54221875 |
transcript.pyannote[282].speaker |
SPEAKER_03 |
transcript.pyannote[282].start |
806.87534375 |
transcript.pyannote[282].end |
807.53346875 |
transcript.pyannote[283].speaker |
SPEAKER_03 |
transcript.pyannote[283].start |
807.97221875 |
transcript.pyannote[283].end |
813.50721875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
809.25471875 |
transcript.pyannote[284].end |
813.37221875 |
transcript.pyannote[285].speaker |
SPEAKER_03 |
transcript.pyannote[285].start |
813.59159375 |
transcript.pyannote[285].end |
821.55659375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
813.67596875 |
transcript.pyannote[286].end |
815.24534375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
818.53596875 |
transcript.pyannote[287].end |
819.61596875 |
transcript.pyannote[288].speaker |
SPEAKER_03 |
transcript.pyannote[288].start |
821.99534375 |
transcript.pyannote[288].end |
830.43284375 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
825.48846875 |
transcript.pyannote[289].end |
826.95659375 |
transcript.pyannote[290].speaker |
SPEAKER_03 |
transcript.pyannote[290].start |
831.00659375 |
transcript.pyannote[290].end |
839.73096875 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
831.20909375 |
transcript.pyannote[291].end |
831.54659375 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
832.37346875 |
transcript.pyannote[292].end |
833.01471875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
833.01471875 |
transcript.pyannote[293].end |
833.06534375 |
transcript.pyannote[294].speaker |
SPEAKER_03 |
transcript.pyannote[294].start |
840.11909375 |
transcript.pyannote[294].end |
840.55784375 |
transcript.pyannote[295].speaker |
SPEAKER_03 |
transcript.pyannote[295].start |
841.21596875 |
transcript.pyannote[295].end |
843.49409375 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
843.88221875 |
transcript.pyannote[296].end |
845.65409375 |
transcript.pyannote[297].speaker |
SPEAKER_03 |
transcript.pyannote[297].start |
845.99159375 |
transcript.pyannote[297].end |
847.64534375 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
847.93221875 |
transcript.pyannote[298].end |
850.64909375 |
transcript.pyannote[299].speaker |
SPEAKER_03 |
transcript.pyannote[299].start |
851.30721875 |
transcript.pyannote[299].end |
852.52221875 |
transcript.pyannote[300].speaker |
SPEAKER_03 |
transcript.pyannote[300].start |
852.72471875 |
transcript.pyannote[300].end |
854.98596875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
855.59346875 |
transcript.pyannote[301].end |
858.81659375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
858.95159375 |
transcript.pyannote[302].end |
863.84534375 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
863.94659375 |
transcript.pyannote[303].end |
865.65096875 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
864.65534375 |
transcript.pyannote[304].end |
868.04721875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
866.98409375 |
transcript.pyannote[305].end |
868.14846875 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
868.14846875 |
transcript.pyannote[306].end |
869.97096875 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
869.97096875 |
transcript.pyannote[307].end |
881.05784375 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
870.00471875 |
transcript.pyannote[308].end |
870.02159375 |
transcript.pyannote[309].speaker |
SPEAKER_03 |
transcript.pyannote[309].start |
870.03846875 |
transcript.pyannote[309].end |
870.27471875 |
transcript.pyannote[310].speaker |
SPEAKER_03 |
transcript.pyannote[310].start |
870.42659375 |
transcript.pyannote[310].end |
871.89471875 |
transcript.pyannote[311].speaker |
SPEAKER_03 |
transcript.pyannote[311].start |
878.79659375 |
transcript.pyannote[311].end |
889.46159375 |
transcript.pyannote[312].speaker |
SPEAKER_03 |
transcript.pyannote[312].start |
889.86659375 |
transcript.pyannote[312].end |
891.28409375 |
transcript.pyannote[313].speaker |
SPEAKER_03 |
transcript.pyannote[313].start |
892.41471875 |
transcript.pyannote[313].end |
898.27034375 |
transcript.pyannote[314].speaker |
SPEAKER_03 |
transcript.pyannote[314].start |
898.70909375 |
transcript.pyannote[314].end |
903.70409375 |
transcript.pyannote[315].speaker |
SPEAKER_03 |
transcript.pyannote[315].start |
903.87284375 |
transcript.pyannote[315].end |
912.85034375 |
transcript.pyannote[316].speaker |
SPEAKER_03 |
transcript.pyannote[316].start |
913.39034375 |
transcript.pyannote[316].end |
916.57971875 |
transcript.pyannote[317].speaker |
SPEAKER_03 |
transcript.pyannote[317].start |
916.83284375 |
transcript.pyannote[317].end |
918.03096875 |
transcript.pyannote[318].speaker |
SPEAKER_03 |
transcript.pyannote[318].start |
918.30096875 |
transcript.pyannote[318].end |
920.59596875 |
transcript.pyannote[319].speaker |
SPEAKER_03 |
transcript.pyannote[319].start |
921.94596875 |
transcript.pyannote[319].end |
923.31284375 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
921.97971875 |
transcript.pyannote[320].end |
926.46846875 |
transcript.pyannote[321].speaker |
SPEAKER_01 |
transcript.pyannote[321].start |
927.24471875 |
transcript.pyannote[321].end |
931.02471875 |
transcript.pyannote[322].speaker |
SPEAKER_03 |
transcript.pyannote[322].start |
927.44721875 |
transcript.pyannote[322].end |
928.24034375 |
transcript.pyannote[323].speaker |
SPEAKER_03 |
transcript.pyannote[323].start |
930.34971875 |
transcript.pyannote[323].end |
940.15409375 |
transcript.pyannote[324].speaker |
SPEAKER_01 |
transcript.pyannote[324].start |
938.70284375 |
transcript.pyannote[324].end |
941.25096875 |
transcript.pyannote[325].speaker |
SPEAKER_03 |
transcript.pyannote[325].start |
940.64346875 |
transcript.pyannote[325].end |
943.10721875 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
943.10721875 |
transcript.pyannote[326].end |
946.19534375 |
transcript.pyannote[327].speaker |
SPEAKER_03 |
transcript.pyannote[327].start |
943.14096875 |
transcript.pyannote[327].end |
943.52909375 |
transcript.pyannote[328].speaker |
SPEAKER_01 |
transcript.pyannote[328].start |
946.34721875 |
transcript.pyannote[328].end |
964.33596875 |
transcript.pyannote[329].speaker |
SPEAKER_03 |
transcript.pyannote[329].start |
962.71596875 |
transcript.pyannote[329].end |
965.29784375 |
transcript.pyannote[330].speaker |
SPEAKER_01 |
transcript.pyannote[330].start |
964.90971875 |
transcript.pyannote[330].end |
966.54659375 |
transcript.pyannote[331].speaker |
SPEAKER_03 |
transcript.pyannote[331].start |
966.24284375 |
transcript.pyannote[331].end |
970.46159375 |
transcript.pyannote[332].speaker |
SPEAKER_03 |
transcript.pyannote[332].start |
971.05221875 |
transcript.pyannote[332].end |
973.09409375 |
transcript.pyannote[333].speaker |
SPEAKER_03 |
transcript.pyannote[333].start |
973.39784375 |
transcript.pyannote[333].end |
984.21471875 |
transcript.pyannote[334].speaker |
SPEAKER_03 |
transcript.pyannote[334].start |
984.43409375 |
transcript.pyannote[334].end |
987.58971875 |
transcript.pyannote[335].speaker |
SPEAKER_03 |
transcript.pyannote[335].start |
988.28159375 |
transcript.pyannote[335].end |
994.22159375 |
transcript.pyannote[336].speaker |
SPEAKER_01 |
transcript.pyannote[336].start |
994.74471875 |
transcript.pyannote[336].end |
996.28034375 |
transcript.pyannote[337].speaker |
SPEAKER_01 |
transcript.pyannote[337].start |
996.51659375 |
transcript.pyannote[337].end |
997.17471875 |
transcript.pyannote[338].speaker |
SPEAKER_01 |
transcript.pyannote[338].start |
997.52909375 |
transcript.pyannote[338].end |
999.36846875 |
transcript.pyannote[339].speaker |
SPEAKER_01 |
transcript.pyannote[339].start |
1001.76471875 |
transcript.pyannote[339].end |
1005.57846875 |
transcript.pyannote[340].speaker |
SPEAKER_00 |
transcript.pyannote[340].start |
1003.38471875 |
transcript.pyannote[340].end |
1003.55346875 |
transcript.pyannote[341].speaker |
SPEAKER_03 |
transcript.pyannote[341].start |
1005.57846875 |
transcript.pyannote[341].end |
1005.64596875 |
transcript.pyannote[342].speaker |
SPEAKER_01 |
transcript.pyannote[342].start |
1006.01721875 |
transcript.pyannote[342].end |
1006.03409375 |
transcript.pyannote[343].speaker |
SPEAKER_03 |
transcript.pyannote[343].start |
1006.03409375 |
transcript.pyannote[343].end |
1006.79346875 |
transcript.pyannote[344].speaker |
SPEAKER_03 |
transcript.pyannote[344].start |
1007.14784375 |
transcript.pyannote[344].end |
1009.67909375 |
transcript.pyannote[345].speaker |
SPEAKER_03 |
transcript.pyannote[345].start |
1009.94909375 |
transcript.pyannote[345].end |
1015.53471875 |
transcript.pyannote[346].speaker |
SPEAKER_03 |
transcript.pyannote[346].start |
1015.55159375 |
transcript.pyannote[346].end |
1016.51346875 |
transcript.pyannote[347].speaker |
SPEAKER_03 |
transcript.pyannote[347].start |
1016.83409375 |
transcript.pyannote[347].end |
1032.69659375 |
transcript.pyannote[348].speaker |
SPEAKER_03 |
transcript.pyannote[348].start |
1033.28721875 |
transcript.pyannote[348].end |
1033.33784375 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
1033.33784375 |
transcript.pyannote[349].end |
1039.12596875 |
transcript.pyannote[350].speaker |
SPEAKER_03 |
transcript.pyannote[350].start |
1034.92409375 |
transcript.pyannote[350].end |
1034.97471875 |
transcript.pyannote[351].speaker |
SPEAKER_02 |
transcript.pyannote[351].start |
1034.97471875 |
transcript.pyannote[351].end |
1035.00846875 |
transcript.pyannote[352].speaker |
SPEAKER_00 |
transcript.pyannote[352].start |
1035.00846875 |
transcript.pyannote[352].end |
1035.29534375 |
transcript.pyannote[353].speaker |
SPEAKER_02 |
transcript.pyannote[353].start |
1035.29534375 |
transcript.pyannote[353].end |
1035.39659375 |
transcript.pyannote[354].speaker |
SPEAKER_02 |
transcript.pyannote[354].start |
1035.64971875 |
transcript.pyannote[354].end |
1035.86909375 |
transcript.pyannote[355].speaker |
SPEAKER_00 |
transcript.pyannote[355].start |
1035.86909375 |
transcript.pyannote[355].end |
1036.02096875 |
transcript.pyannote[356].speaker |
SPEAKER_02 |
transcript.pyannote[356].start |
1036.02096875 |
transcript.pyannote[356].end |
1036.22346875 |
transcript.pyannote[357].speaker |
SPEAKER_01 |
transcript.pyannote[357].start |
1039.34534375 |
transcript.pyannote[357].end |
1042.24784375 |
transcript.pyannote[358].speaker |
SPEAKER_01 |
transcript.pyannote[358].start |
1043.27721875 |
transcript.pyannote[358].end |
1045.97721875 |
transcript.pyannote[359].speaker |
SPEAKER_03 |
transcript.pyannote[359].start |
1045.97721875 |
transcript.pyannote[359].end |
1056.22034375 |
transcript.pyannote[360].speaker |
SPEAKER_01 |
transcript.pyannote[360].start |
1051.57971875 |
transcript.pyannote[360].end |
1052.96346875 |
transcript.pyannote[361].speaker |
SPEAKER_00 |
transcript.pyannote[361].start |
1052.96346875 |
transcript.pyannote[361].end |
1053.87471875 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
1056.30471875 |
transcript.pyannote[362].end |
1073.66909375 |
transcript.pyannote[363].speaker |
SPEAKER_00 |
transcript.pyannote[363].start |
1056.33846875 |
transcript.pyannote[363].end |
1056.38909375 |
transcript.pyannote[364].speaker |
SPEAKER_00 |
transcript.pyannote[364].start |
1056.43971875 |
transcript.pyannote[364].end |
1056.45659375 |
transcript.pyannote[365].speaker |
SPEAKER_00 |
transcript.pyannote[365].start |
1056.84471875 |
transcript.pyannote[365].end |
1057.13159375 |
transcript.pyannote[366].speaker |
SPEAKER_00 |
transcript.pyannote[366].start |
1064.11784375 |
transcript.pyannote[366].end |
1064.80971875 |
transcript.pyannote[367].speaker |
SPEAKER_01 |
transcript.pyannote[367].start |
1067.89784375 |
transcript.pyannote[367].end |
1075.33971875 |
transcript.pyannote[368].speaker |
SPEAKER_03 |
transcript.pyannote[368].start |
1074.34409375 |
transcript.pyannote[368].end |
1077.07784375 |
transcript.pyannote[369].speaker |
SPEAKER_03 |
transcript.pyannote[369].start |
1077.31409375 |
transcript.pyannote[369].end |
1078.20846875 |
transcript.pyannote[370].speaker |
SPEAKER_03 |
transcript.pyannote[370].start |
1079.03534375 |
transcript.pyannote[370].end |
1082.27534375 |
transcript.pyannote[371].speaker |
SPEAKER_03 |
transcript.pyannote[371].start |
1083.13596875 |
transcript.pyannote[371].end |
1086.66284375 |
transcript.pyannote[372].speaker |
SPEAKER_03 |
transcript.pyannote[372].start |
1087.03409375 |
transcript.pyannote[372].end |
1091.57346875 |
transcript.pyannote[373].speaker |
SPEAKER_03 |
transcript.pyannote[373].start |
1091.75909375 |
transcript.pyannote[373].end |
1098.03659375 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
1098.59346875 |
transcript.pyannote[374].end |
1100.19659375 |
transcript.pyannote[375].speaker |
SPEAKER_03 |
transcript.pyannote[375].start |
1101.25971875 |
transcript.pyannote[375].end |
1103.79096875 |
transcript.pyannote[376].speaker |
SPEAKER_03 |
transcript.pyannote[376].start |
1104.49971875 |
transcript.pyannote[376].end |
1107.70596875 |
transcript.pyannote[377].speaker |
SPEAKER_03 |
transcript.pyannote[377].start |
1107.94221875 |
transcript.pyannote[377].end |
1115.73846875 |
transcript.pyannote[378].speaker |
SPEAKER_03 |
transcript.pyannote[378].start |
1116.41346875 |
transcript.pyannote[378].end |
1116.76784375 |
transcript.pyannote[379].speaker |
SPEAKER_03 |
transcript.pyannote[379].start |
1116.93659375 |
transcript.pyannote[379].end |
1116.95346875 |
transcript.pyannote[380].speaker |
SPEAKER_03 |
transcript.pyannote[380].start |
1116.97034375 |
transcript.pyannote[380].end |
1117.74659375 |
transcript.pyannote[381].speaker |
SPEAKER_03 |
transcript.pyannote[381].start |
1118.25284375 |
transcript.pyannote[381].end |
1120.83471875 |
transcript.pyannote[382].speaker |
SPEAKER_03 |
transcript.pyannote[382].start |
1121.67846875 |
transcript.pyannote[382].end |
1124.61471875 |
transcript.pyannote[383].speaker |
SPEAKER_02 |
transcript.pyannote[383].start |
1123.26471875 |
transcript.pyannote[383].end |
1123.29846875 |
transcript.pyannote[384].speaker |
SPEAKER_00 |
transcript.pyannote[384].start |
1123.29846875 |
transcript.pyannote[384].end |
1124.02409375 |
transcript.pyannote[385].speaker |
SPEAKER_02 |
transcript.pyannote[385].start |
1124.02409375 |
transcript.pyannote[385].end |
1124.44596875 |
transcript.pyannote[386].speaker |
SPEAKER_00 |
transcript.pyannote[386].start |
1124.44596875 |
transcript.pyannote[386].end |
1124.56409375 |
transcript.pyannote[387].speaker |
SPEAKER_02 |
transcript.pyannote[387].start |
1124.56409375 |
transcript.pyannote[387].end |
1124.58096875 |
transcript.pyannote[388].speaker |
SPEAKER_00 |
transcript.pyannote[388].start |
1124.58096875 |
transcript.pyannote[388].end |
1124.59784375 |
transcript.pyannote[389].speaker |
SPEAKER_03 |
transcript.pyannote[389].start |
1125.94784375 |
transcript.pyannote[389].end |
1125.96471875 |
transcript.pyannote[390].speaker |
SPEAKER_01 |
transcript.pyannote[390].start |
1125.96471875 |
transcript.pyannote[390].end |
1126.79159375 |
transcript.pyannote[391].speaker |
SPEAKER_01 |
transcript.pyannote[391].start |
1128.24284375 |
transcript.pyannote[391].end |
1129.13721875 |
transcript.pyannote[392].speaker |
SPEAKER_01 |
transcript.pyannote[392].start |
1129.39034375 |
transcript.pyannote[392].end |
1131.48284375 |
transcript.pyannote[393].speaker |
SPEAKER_01 |
transcript.pyannote[393].start |
1131.76971875 |
transcript.pyannote[393].end |
1137.52409375 |
transcript.pyannote[394].speaker |
SPEAKER_03 |
transcript.pyannote[394].start |
1134.73971875 |
transcript.pyannote[394].end |
1137.05159375 |
transcript.pyannote[395].speaker |
SPEAKER_01 |
transcript.pyannote[395].start |
1137.76034375 |
transcript.pyannote[395].end |
1151.32784375 |
transcript.pyannote[396].speaker |
SPEAKER_03 |
transcript.pyannote[396].start |
1140.49409375 |
transcript.pyannote[396].end |
1142.73846875 |
transcript.pyannote[397].speaker |
SPEAKER_00 |
transcript.pyannote[397].start |
1142.73846875 |
transcript.pyannote[397].end |
1142.78909375 |
transcript.pyannote[398].speaker |
SPEAKER_03 |
transcript.pyannote[398].start |
1143.58221875 |
transcript.pyannote[398].end |
1145.48909375 |
transcript.pyannote[399].speaker |
SPEAKER_02 |
transcript.pyannote[399].start |
1150.28159375 |
transcript.pyannote[399].end |
1150.31534375 |
transcript.pyannote[400].speaker |
SPEAKER_03 |
transcript.pyannote[400].start |
1150.31534375 |
transcript.pyannote[400].end |
1151.09159375 |
transcript.pyannote[401].speaker |
SPEAKER_01 |
transcript.pyannote[401].start |
1151.54721875 |
transcript.pyannote[401].end |
1156.17096875 |
transcript.pyannote[402].speaker |
SPEAKER_02 |
transcript.pyannote[402].start |
1151.68221875 |
transcript.pyannote[402].end |
1152.01971875 |
transcript.pyannote[403].speaker |
SPEAKER_03 |
transcript.pyannote[403].start |
1152.01971875 |
transcript.pyannote[403].end |
1152.05346875 |
transcript.pyannote[404].speaker |
SPEAKER_01 |
transcript.pyannote[404].start |
1156.99784375 |
transcript.pyannote[404].end |
1158.97221875 |
transcript.pyannote[405].speaker |
SPEAKER_03 |
transcript.pyannote[405].start |
1158.97221875 |
transcript.pyannote[405].end |
1160.76096875 |
transcript.pyannote[406].speaker |
SPEAKER_03 |
transcript.pyannote[406].start |
1161.04784375 |
transcript.pyannote[406].end |
1164.96284375 |
transcript.pyannote[407].speaker |
SPEAKER_01 |
transcript.pyannote[407].start |
1164.60846875 |
transcript.pyannote[407].end |
1165.48596875 |
transcript.pyannote[408].speaker |
SPEAKER_01 |
transcript.pyannote[408].start |
1165.73909375 |
transcript.pyannote[408].end |
1168.52346875 |
transcript.pyannote[409].speaker |
SPEAKER_01 |
transcript.pyannote[409].start |
1168.62471875 |
transcript.pyannote[409].end |
1175.76284375 |
transcript.pyannote[410].speaker |
SPEAKER_03 |
transcript.pyannote[410].start |
1169.18159375 |
transcript.pyannote[410].end |
1169.55284375 |
transcript.pyannote[411].speaker |
SPEAKER_01 |
transcript.pyannote[411].start |
1175.91471875 |
transcript.pyannote[411].end |
1176.97784375 |
transcript.pyannote[412].speaker |
SPEAKER_01 |
transcript.pyannote[412].start |
1177.29846875 |
transcript.pyannote[412].end |
1177.97346875 |
transcript.pyannote[413].speaker |
SPEAKER_03 |
transcript.pyannote[413].start |
1177.97346875 |
transcript.pyannote[413].end |
1178.05784375 |
transcript.pyannote[414].speaker |
SPEAKER_01 |
transcript.pyannote[414].start |
1178.59784375 |
transcript.pyannote[414].end |
1178.61471875 |
transcript.pyannote[415].speaker |
SPEAKER_03 |
transcript.pyannote[415].start |
1178.61471875 |
transcript.pyannote[415].end |
1185.55034375 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
1185.66846875 |
transcript.pyannote[416].end |
1186.71471875 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
1187.10284375 |
transcript.pyannote[417].end |
1187.77784375 |
transcript.pyannote[418].speaker |
SPEAKER_03 |
transcript.pyannote[418].start |
1188.58784375 |
transcript.pyannote[418].end |
1189.29659375 |
transcript.pyannote[419].speaker |
SPEAKER_03 |
transcript.pyannote[419].start |
1189.31346875 |
transcript.pyannote[419].end |
1193.51534375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
1194.13971875 |
transcript.pyannote[420].end |
1197.83534375 |
transcript.pyannote[421].speaker |
SPEAKER_01 |
transcript.pyannote[421].start |
1199.13471875 |
transcript.pyannote[421].end |
1203.43784375 |
transcript.pyannote[422].speaker |
SPEAKER_01 |
transcript.pyannote[422].start |
1203.50534375 |
transcript.pyannote[422].end |
1207.97721875 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
1207.97721875 |
transcript.pyannote[423].end |
1215.72284375 |
transcript.pyannote[424].speaker |
SPEAKER_01 |
transcript.pyannote[424].start |
1216.33034375 |
transcript.pyannote[424].end |
1218.76034375 |
transcript.pyannote[425].speaker |
SPEAKER_03 |
transcript.pyannote[425].start |
1218.76034375 |
transcript.pyannote[425].end |
1218.77721875 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
1219.08096875 |
transcript.pyannote[426].end |
1220.44784375 |
transcript.pyannote[427].speaker |
SPEAKER_03 |
transcript.pyannote[427].start |
1220.78534375 |
transcript.pyannote[427].end |
1224.09284375 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
1224.17721875 |
transcript.pyannote[428].end |
1225.78034375 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
1226.40471875 |
transcript.pyannote[429].end |
1229.18909375 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
1229.96534375 |
transcript.pyannote[430].end |
1233.81284375 |
transcript.pyannote[431].speaker |
SPEAKER_04 |
transcript.pyannote[431].start |
1233.89721875 |
transcript.pyannote[431].end |
1234.31909375 |
transcript.pyannote[432].speaker |
SPEAKER_03 |
transcript.pyannote[432].start |
1234.42034375 |
transcript.pyannote[432].end |
1237.55909375 |
transcript.pyannote[433].speaker |
SPEAKER_04 |
transcript.pyannote[433].start |
1235.70284375 |
transcript.pyannote[433].end |
1236.88409375 |
transcript.pyannote[434].speaker |
SPEAKER_01 |
transcript.pyannote[434].start |
1236.88409375 |
transcript.pyannote[434].end |
1236.93471875 |
transcript.pyannote[435].speaker |
SPEAKER_01 |
transcript.pyannote[435].start |
1237.55909375 |
transcript.pyannote[435].end |
1237.59284375 |
transcript.pyannote[436].speaker |
SPEAKER_03 |
transcript.pyannote[436].start |
1237.59284375 |
transcript.pyannote[436].end |
1237.62659375 |
transcript.pyannote[437].speaker |
SPEAKER_01 |
transcript.pyannote[437].start |
1237.62659375 |
transcript.pyannote[437].end |
1237.69409375 |
transcript.pyannote[438].speaker |
SPEAKER_03 |
transcript.pyannote[438].start |
1237.69409375 |
transcript.pyannote[438].end |
1237.71096875 |
transcript.pyannote[439].speaker |
SPEAKER_01 |
transcript.pyannote[439].start |
1237.71096875 |
transcript.pyannote[439].end |
1237.74471875 |
transcript.pyannote[440].speaker |
SPEAKER_03 |
transcript.pyannote[440].start |
1237.74471875 |
transcript.pyannote[440].end |
1237.79534375 |
transcript.pyannote[441].speaker |
SPEAKER_01 |
transcript.pyannote[441].start |
1237.79534375 |
transcript.pyannote[441].end |
1237.82909375 |
transcript.pyannote[442].speaker |
SPEAKER_03 |
transcript.pyannote[442].start |
1237.82909375 |
transcript.pyannote[442].end |
1238.03159375 |
transcript.pyannote[443].speaker |
SPEAKER_01 |
transcript.pyannote[443].start |
1238.03159375 |
transcript.pyannote[443].end |
1238.20034375 |
transcript.pyannote[444].speaker |
SPEAKER_03 |
transcript.pyannote[444].start |
1238.53784375 |
transcript.pyannote[444].end |
1238.68971875 |
transcript.pyannote[445].speaker |
SPEAKER_01 |
transcript.pyannote[445].start |
1238.68971875 |
transcript.pyannote[445].end |
1239.51659375 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
1240.09034375 |
transcript.pyannote[446].end |
1240.12409375 |
transcript.pyannote[447].speaker |
SPEAKER_01 |
transcript.pyannote[447].start |
1240.12409375 |
transcript.pyannote[447].end |
1240.90034375 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
1240.90034375 |
transcript.pyannote[448].end |
1240.93409375 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
1241.22096875 |
transcript.pyannote[449].end |
1261.69034375 |
transcript.pyannote[450].speaker |
SPEAKER_01 |
transcript.pyannote[450].start |
1246.48596875 |
transcript.pyannote[450].end |
1246.82346875 |
transcript.pyannote[451].speaker |
SPEAKER_01 |
transcript.pyannote[451].start |
1261.69034375 |
transcript.pyannote[451].end |
1264.79534375 |
transcript.pyannote[452].speaker |
SPEAKER_03 |
transcript.pyannote[452].start |
1264.79534375 |
transcript.pyannote[452].end |
1267.51221875 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
1268.57534375 |
transcript.pyannote[453].end |
1269.35159375 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
1270.90409375 |
transcript.pyannote[454].end |
1282.48034375 |
transcript.pyannote[455].speaker |
SPEAKER_03 |
transcript.pyannote[455].start |
1282.78409375 |
transcript.pyannote[455].end |
1288.92659375 |
transcript.pyannote[456].speaker |
SPEAKER_03 |
transcript.pyannote[456].start |
1289.48346875 |
transcript.pyannote[456].end |
1292.38596875 |
transcript.pyannote[457].speaker |
SPEAKER_03 |
transcript.pyannote[457].start |
1292.89221875 |
transcript.pyannote[457].end |
1295.81159375 |
transcript.pyannote[458].speaker |
SPEAKER_01 |
transcript.pyannote[458].start |
1296.16596875 |
transcript.pyannote[458].end |
1298.14034375 |
transcript.pyannote[459].speaker |
SPEAKER_03 |
transcript.pyannote[459].start |
1296.19971875 |
transcript.pyannote[459].end |
1296.94221875 |
transcript.pyannote[460].speaker |
SPEAKER_03 |
transcript.pyannote[460].start |
1298.73096875 |
transcript.pyannote[460].end |
1299.65909375 |
transcript.pyannote[461].speaker |
SPEAKER_03 |
transcript.pyannote[461].start |
1300.13159375 |
transcript.pyannote[461].end |
1303.54034375 |
transcript.pyannote[462].speaker |
SPEAKER_03 |
transcript.pyannote[462].start |
1303.74284375 |
transcript.pyannote[462].end |
1304.68784375 |
transcript.pyannote[463].speaker |
SPEAKER_03 |
transcript.pyannote[463].start |
1305.98721875 |
transcript.pyannote[463].end |
1307.79284375 |
transcript.pyannote[464].speaker |
SPEAKER_03 |
transcript.pyannote[464].start |
1308.14721875 |
transcript.pyannote[464].end |
1308.43409375 |
transcript.pyannote[465].speaker |
SPEAKER_03 |
transcript.pyannote[465].start |
1309.15971875 |
transcript.pyannote[465].end |
1309.56471875 |
transcript.pyannote[466].speaker |
SPEAKER_03 |
transcript.pyannote[466].start |
1310.15534375 |
transcript.pyannote[466].end |
1312.18034375 |
transcript.pyannote[467].speaker |
SPEAKER_03 |
transcript.pyannote[467].start |
1312.88909375 |
transcript.pyannote[467].end |
1313.49659375 |
transcript.pyannote[468].speaker |
SPEAKER_01 |
transcript.pyannote[468].start |
1314.74534375 |
transcript.pyannote[468].end |
1315.08284375 |
transcript.pyannote[469].speaker |
SPEAKER_01 |
transcript.pyannote[469].start |
1315.43721875 |
transcript.pyannote[469].end |
1317.68159375 |
transcript.pyannote[470].speaker |
SPEAKER_01 |
transcript.pyannote[470].start |
1318.13721875 |
transcript.pyannote[470].end |
1319.03159375 |
transcript.pyannote[471].speaker |
SPEAKER_03 |
transcript.pyannote[471].start |
1319.03159375 |
transcript.pyannote[471].end |
1323.36846875 |
transcript.pyannote[472].speaker |
SPEAKER_01 |
transcript.pyannote[472].start |
1319.04846875 |
transcript.pyannote[472].end |
1319.08221875 |
transcript.pyannote[473].speaker |
SPEAKER_00 |
transcript.pyannote[473].start |
1319.08221875 |
transcript.pyannote[473].end |
1319.65596875 |
transcript.pyannote[474].speaker |
SPEAKER_01 |
transcript.pyannote[474].start |
1319.65596875 |
transcript.pyannote[474].end |
1319.67284375 |
transcript.pyannote[475].speaker |
SPEAKER_03 |
transcript.pyannote[475].start |
1323.46971875 |
transcript.pyannote[475].end |
1328.17784375 |
transcript.pyannote[476].speaker |
SPEAKER_03 |
transcript.pyannote[476].start |
1329.25784375 |
transcript.pyannote[476].end |
1330.55721875 |
transcript.pyannote[477].speaker |
SPEAKER_03 |
transcript.pyannote[477].start |
1330.75971875 |
transcript.pyannote[477].end |
1340.02409375 |
transcript.pyannote[478].speaker |
SPEAKER_01 |
transcript.pyannote[478].start |
1340.63159375 |
transcript.pyannote[478].end |
1346.26784375 |
transcript.pyannote[479].speaker |
SPEAKER_03 |
transcript.pyannote[479].start |
1341.03659375 |
transcript.pyannote[479].end |
1341.37409375 |
transcript.pyannote[480].speaker |
SPEAKER_01 |
transcript.pyannote[480].start |
1346.63909375 |
transcript.pyannote[480].end |
1349.38971875 |
transcript.pyannote[481].speaker |
SPEAKER_01 |
transcript.pyannote[481].start |
1349.54159375 |
transcript.pyannote[481].end |
1353.77721875 |
transcript.pyannote[482].speaker |
SPEAKER_03 |
transcript.pyannote[482].start |
1352.14034375 |
transcript.pyannote[482].end |
1353.72659375 |
transcript.pyannote[483].speaker |
SPEAKER_03 |
transcript.pyannote[483].start |
1353.77721875 |
transcript.pyannote[483].end |
1354.89096875 |
transcript.pyannote[484].speaker |
SPEAKER_01 |
transcript.pyannote[484].start |
1354.89096875 |
transcript.pyannote[484].end |
1359.26159375 |
transcript.pyannote[485].speaker |
SPEAKER_03 |
transcript.pyannote[485].start |
1354.90784375 |
transcript.pyannote[485].end |
1355.26221875 |
transcript.pyannote[486].speaker |
SPEAKER_00 |
transcript.pyannote[486].start |
1358.67096875 |
transcript.pyannote[486].end |
1358.87346875 |
transcript.pyannote[487].speaker |
SPEAKER_03 |
transcript.pyannote[487].start |
1358.87346875 |
transcript.pyannote[487].end |
1358.95784375 |
transcript.pyannote[488].speaker |
SPEAKER_00 |
transcript.pyannote[488].start |
1358.95784375 |
transcript.pyannote[488].end |
1358.97471875 |
transcript.pyannote[489].speaker |
SPEAKER_01 |
transcript.pyannote[489].start |
1360.17284375 |
transcript.pyannote[489].end |
1360.79721875 |
transcript.pyannote[490].speaker |
SPEAKER_01 |
transcript.pyannote[490].start |
1361.25284375 |
transcript.pyannote[490].end |
1361.77596875 |
transcript.pyannote[491].speaker |
SPEAKER_01 |
transcript.pyannote[491].start |
1362.04596875 |
transcript.pyannote[491].end |
1364.86409375 |
transcript.pyannote[492].speaker |
SPEAKER_00 |
transcript.pyannote[492].start |
1364.86409375 |
transcript.pyannote[492].end |
1365.08346875 |
transcript.pyannote[493].speaker |
SPEAKER_01 |
transcript.pyannote[493].start |
1365.47159375 |
transcript.pyannote[493].end |
1368.07034375 |
transcript.pyannote[494].speaker |
SPEAKER_01 |
transcript.pyannote[494].start |
1368.59346875 |
transcript.pyannote[494].end |
1368.61034375 |
transcript.pyannote[495].speaker |
SPEAKER_03 |
transcript.pyannote[495].start |
1368.61034375 |
transcript.pyannote[495].end |
1372.30596875 |
transcript.pyannote[496].speaker |
SPEAKER_01 |
transcript.pyannote[496].start |
1372.74471875 |
transcript.pyannote[496].end |
1372.89659375 |
transcript.pyannote[497].speaker |
SPEAKER_01 |
transcript.pyannote[497].start |
1373.18346875 |
transcript.pyannote[497].end |
1373.21721875 |
transcript.pyannote[498].speaker |
SPEAKER_01 |
transcript.pyannote[498].start |
1373.23409375 |
transcript.pyannote[498].end |
1379.69721875 |
transcript.pyannote[499].speaker |
SPEAKER_03 |
transcript.pyannote[499].start |
1376.38971875 |
transcript.pyannote[499].end |
1378.46534375 |
transcript.pyannote[500].speaker |
SPEAKER_03 |
transcript.pyannote[500].start |
1378.70159375 |
transcript.pyannote[500].end |
1378.87034375 |
transcript.pyannote[501].speaker |
SPEAKER_03 |
transcript.pyannote[501].start |
1379.69721875 |
transcript.pyannote[501].end |
1381.26659375 |
transcript.pyannote[502].speaker |
SPEAKER_01 |
transcript.pyannote[502].start |
1381.26659375 |
transcript.pyannote[502].end |
1381.51971875 |
transcript.pyannote[503].speaker |
SPEAKER_03 |
transcript.pyannote[503].start |
1381.51971875 |
transcript.pyannote[503].end |
1386.10971875 |
transcript.pyannote[504].speaker |
SPEAKER_01 |
transcript.pyannote[504].start |
1381.53659375 |
transcript.pyannote[504].end |
1383.07221875 |
transcript.pyannote[505].speaker |
SPEAKER_01 |
transcript.pyannote[505].start |
1386.85221875 |
transcript.pyannote[505].end |
1387.83096875 |
transcript.pyannote[506].speaker |
SPEAKER_03 |
transcript.pyannote[506].start |
1387.37534375 |
transcript.pyannote[506].end |
1405.54971875 |
transcript.pyannote[507].speaker |
SPEAKER_01 |
transcript.pyannote[507].start |
1395.98159375 |
transcript.pyannote[507].end |
1396.79159375 |
transcript.pyannote[508].speaker |
SPEAKER_03 |
transcript.pyannote[508].start |
1405.98846875 |
transcript.pyannote[508].end |
1412.46846875 |
transcript.pyannote[509].speaker |
SPEAKER_03 |
transcript.pyannote[509].start |
1412.73846875 |
transcript.pyannote[509].end |
1415.48909375 |
transcript.pyannote[510].speaker |
SPEAKER_01 |
transcript.pyannote[510].start |
1415.69159375 |
transcript.pyannote[510].end |
1417.78409375 |
transcript.pyannote[511].speaker |
SPEAKER_01 |
transcript.pyannote[511].start |
1418.12159375 |
transcript.pyannote[511].end |
1420.31534375 |
transcript.pyannote[512].speaker |
SPEAKER_01 |
transcript.pyannote[512].start |
1420.72034375 |
transcript.pyannote[512].end |
1422.12096875 |
transcript.pyannote[513].speaker |
SPEAKER_01 |
transcript.pyannote[513].start |
1422.49221875 |
transcript.pyannote[513].end |
1425.85034375 |
transcript.pyannote[514].speaker |
SPEAKER_01 |
transcript.pyannote[514].start |
1426.15409375 |
transcript.pyannote[514].end |
1428.78659375 |
transcript.pyannote[515].speaker |
SPEAKER_01 |
transcript.pyannote[515].start |
1429.19159375 |
transcript.pyannote[515].end |
1429.88346875 |
transcript.pyannote[516].speaker |
SPEAKER_01 |
transcript.pyannote[516].start |
1430.92971875 |
transcript.pyannote[516].end |
1432.19534375 |
transcript.pyannote[517].speaker |
SPEAKER_01 |
transcript.pyannote[517].start |
1432.43159375 |
transcript.pyannote[517].end |
1434.92909375 |
transcript.pyannote[518].speaker |
SPEAKER_01 |
transcript.pyannote[518].start |
1435.08096875 |
transcript.pyannote[518].end |
1435.60409375 |
transcript.pyannote[519].speaker |
SPEAKER_01 |
transcript.pyannote[519].start |
1436.97096875 |
transcript.pyannote[519].end |
1436.98784375 |
transcript.pyannote[520].speaker |
SPEAKER_03 |
transcript.pyannote[520].start |
1436.98784375 |
transcript.pyannote[520].end |
1440.22784375 |
transcript.pyannote[521].speaker |
SPEAKER_03 |
transcript.pyannote[521].start |
1440.58221875 |
transcript.pyannote[521].end |
1440.97034375 |
transcript.pyannote[522].speaker |
SPEAKER_03 |
transcript.pyannote[522].start |
1441.54409375 |
transcript.pyannote[522].end |
1442.60721875 |
transcript.pyannote[523].speaker |
SPEAKER_03 |
transcript.pyannote[523].start |
1443.72096875 |
transcript.pyannote[523].end |
1444.46346875 |
transcript.pyannote[524].speaker |
SPEAKER_03 |
transcript.pyannote[524].start |
1445.49284375 |
transcript.pyannote[524].end |
1452.02346875 |
transcript.pyannote[525].speaker |
SPEAKER_01 |
transcript.pyannote[525].start |
1446.84284375 |
transcript.pyannote[525].end |
1448.96909375 |
transcript.pyannote[526].speaker |
SPEAKER_00 |
transcript.pyannote[526].start |
1448.96909375 |
transcript.pyannote[526].end |
1449.03659375 |
transcript.pyannote[527].speaker |
SPEAKER_03 |
transcript.pyannote[527].start |
1452.42846875 |
transcript.pyannote[527].end |
1454.94284375 |
transcript.pyannote[528].speaker |
SPEAKER_03 |
transcript.pyannote[528].start |
1455.39846875 |
transcript.pyannote[528].end |
1472.37471875 |
transcript.pyannote[529].speaker |
SPEAKER_03 |
transcript.pyannote[529].start |
1472.79659375 |
transcript.pyannote[529].end |
1473.20159375 |
transcript.pyannote[530].speaker |
SPEAKER_03 |
transcript.pyannote[530].start |
1473.77534375 |
transcript.pyannote[530].end |
1474.70346875 |
transcript.pyannote[531].speaker |
SPEAKER_03 |
transcript.pyannote[531].start |
1476.42471875 |
transcript.pyannote[531].end |
1477.20096875 |
transcript.pyannote[532].speaker |
SPEAKER_03 |
transcript.pyannote[532].start |
1478.23034375 |
transcript.pyannote[532].end |
1480.33971875 |
transcript.pyannote[533].speaker |
SPEAKER_03 |
transcript.pyannote[533].start |
1481.03159375 |
transcript.pyannote[533].end |
1482.53346875 |
transcript.pyannote[534].speaker |
SPEAKER_03 |
transcript.pyannote[534].start |
1482.97221875 |
transcript.pyannote[534].end |
1485.21659375 |
transcript.pyannote[535].speaker |
SPEAKER_03 |
transcript.pyannote[535].start |
1486.58346875 |
transcript.pyannote[535].end |
1487.29221875 |
transcript.pyannote[536].speaker |
SPEAKER_03 |
transcript.pyannote[536].start |
1487.88284375 |
transcript.pyannote[536].end |
1489.43534375 |
transcript.pyannote[537].speaker |
SPEAKER_03 |
transcript.pyannote[537].start |
1490.11034375 |
transcript.pyannote[537].end |
1491.59534375 |
transcript.pyannote[538].speaker |
SPEAKER_03 |
transcript.pyannote[538].start |
1492.05096875 |
transcript.pyannote[538].end |
1493.06346875 |
transcript.pyannote[539].speaker |
SPEAKER_03 |
transcript.pyannote[539].start |
1494.58221875 |
transcript.pyannote[539].end |
1494.93659375 |
transcript.pyannote[540].speaker |
SPEAKER_03 |
transcript.pyannote[540].start |
1499.62784375 |
transcript.pyannote[540].end |
1502.39534375 |
transcript.pyannote[541].speaker |
SPEAKER_03 |
transcript.pyannote[541].start |
1503.07034375 |
transcript.pyannote[541].end |
1505.50034375 |
transcript.pyannote[542].speaker |
SPEAKER_03 |
transcript.pyannote[542].start |
1505.98971875 |
transcript.pyannote[542].end |
1508.70659375 |
transcript.pyannote[543].speaker |
SPEAKER_03 |
transcript.pyannote[543].start |
1510.00596875 |
transcript.pyannote[543].end |
1510.49534375 |
transcript.pyannote[544].speaker |
SPEAKER_03 |
transcript.pyannote[544].start |
1510.84971875 |
transcript.pyannote[544].end |
1512.06471875 |
transcript.pyannote[545].speaker |
SPEAKER_03 |
transcript.pyannote[545].start |
1512.57096875 |
transcript.pyannote[545].end |
1513.33034375 |
transcript.pyannote[546].speaker |
SPEAKER_03 |
transcript.pyannote[546].start |
1513.71846875 |
transcript.pyannote[546].end |
1516.72221875 |
transcript.pyannote[547].speaker |
SPEAKER_01 |
transcript.pyannote[547].start |
1517.90346875 |
transcript.pyannote[547].end |
1521.19409375 |
transcript.pyannote[548].speaker |
SPEAKER_01 |
transcript.pyannote[548].start |
1521.46409375 |
transcript.pyannote[548].end |
1523.06721875 |
transcript.pyannote[549].speaker |
SPEAKER_01 |
transcript.pyannote[549].start |
1523.25284375 |
transcript.pyannote[549].end |
1524.04596875 |
transcript.pyannote[550].speaker |
SPEAKER_01 |
transcript.pyannote[550].start |
1524.68721875 |
transcript.pyannote[550].end |
1528.68659375 |
transcript.pyannote[551].speaker |
SPEAKER_03 |
transcript.pyannote[551].start |
1524.78846875 |
transcript.pyannote[551].end |
1525.56471875 |
transcript.pyannote[552].speaker |
SPEAKER_01 |
transcript.pyannote[552].start |
1528.83846875 |
transcript.pyannote[552].end |
1530.72846875 |
transcript.pyannote[553].speaker |
SPEAKER_03 |
transcript.pyannote[553].start |
1530.72846875 |
transcript.pyannote[553].end |
1531.36971875 |
transcript.pyannote[554].speaker |
SPEAKER_01 |
transcript.pyannote[554].start |
1531.36971875 |
transcript.pyannote[554].end |
1532.97284375 |
transcript.pyannote[555].speaker |
SPEAKER_03 |
transcript.pyannote[555].start |
1532.97284375 |
transcript.pyannote[555].end |
1535.80784375 |
transcript.pyannote[556].speaker |
SPEAKER_03 |
transcript.pyannote[556].start |
1536.28034375 |
transcript.pyannote[556].end |
1537.64721875 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
1537.79909375 |
transcript.pyannote[557].end |
1548.76784375 |
transcript.pyannote[558].speaker |
SPEAKER_01 |
transcript.pyannote[558].start |
1549.76346875 |
transcript.pyannote[558].end |
1559.83784375 |
transcript.pyannote[559].speaker |
SPEAKER_03 |
transcript.pyannote[559].start |
1552.83471875 |
transcript.pyannote[559].end |
1552.98659375 |
transcript.pyannote[560].speaker |
SPEAKER_03 |
transcript.pyannote[560].start |
1556.49659375 |
transcript.pyannote[560].end |
1557.23909375 |
transcript.pyannote[561].speaker |
SPEAKER_03 |
transcript.pyannote[561].start |
1557.50909375 |
transcript.pyannote[561].end |
1558.75784375 |
transcript.pyannote[562].speaker |
SPEAKER_03 |
transcript.pyannote[562].start |
1558.96034375 |
transcript.pyannote[562].end |
1564.59659375 |
transcript.pyannote[563].speaker |
SPEAKER_03 |
transcript.pyannote[563].start |
1565.11971875 |
transcript.pyannote[563].end |
1584.03659375 |
transcript.pyannote[564].speaker |
SPEAKER_02 |
transcript.pyannote[564].start |
1567.88721875 |
transcript.pyannote[564].end |
1570.28346875 |
transcript.pyannote[565].speaker |
SPEAKER_02 |
transcript.pyannote[565].start |
1572.71346875 |
transcript.pyannote[565].end |
1576.72971875 |
transcript.pyannote[566].speaker |
SPEAKER_02 |
transcript.pyannote[566].start |
1579.22721875 |
transcript.pyannote[566].end |
1579.64909375 |
transcript.pyannote[567].speaker |
SPEAKER_01 |
transcript.pyannote[567].start |
1584.03659375 |
transcript.pyannote[567].end |
1590.66846875 |
transcript.pyannote[568].speaker |
SPEAKER_01 |
transcript.pyannote[568].start |
1591.20846875 |
transcript.pyannote[568].end |
1591.96784375 |
transcript.pyannote[569].speaker |
SPEAKER_03 |
transcript.pyannote[569].start |
1591.96784375 |
transcript.pyannote[569].end |
1592.67659375 |
transcript.pyannote[570].speaker |
SPEAKER_03 |
transcript.pyannote[570].start |
1592.96346875 |
transcript.pyannote[570].end |
1594.88721875 |
transcript.pyannote[571].speaker |
SPEAKER_03 |
transcript.pyannote[571].start |
1595.59596875 |
transcript.pyannote[571].end |
1598.21159375 |
transcript.pyannote[572].speaker |
SPEAKER_01 |
transcript.pyannote[572].start |
1599.56159375 |
transcript.pyannote[572].end |
1604.13471875 |
transcript.pyannote[573].speaker |
SPEAKER_03 |
transcript.pyannote[573].start |
1602.05909375 |
transcript.pyannote[573].end |
1604.28659375 |
transcript.pyannote[574].speaker |
SPEAKER_03 |
transcript.pyannote[574].start |
1605.01221875 |
transcript.pyannote[574].end |
1610.86784375 |
transcript.pyannote[575].speaker |
SPEAKER_03 |
transcript.pyannote[575].start |
1611.34034375 |
transcript.pyannote[575].end |
1611.99846875 |
transcript.pyannote[576].speaker |
SPEAKER_03 |
transcript.pyannote[576].start |
1612.30221875 |
transcript.pyannote[576].end |
1614.04034375 |
transcript.pyannote[577].speaker |
SPEAKER_03 |
transcript.pyannote[577].start |
1615.23846875 |
transcript.pyannote[577].end |
1616.11596875 |
transcript.pyannote[578].speaker |
SPEAKER_01 |
transcript.pyannote[578].start |
1616.40284375 |
transcript.pyannote[578].end |
1617.75284375 |
transcript.pyannote[579].speaker |
SPEAKER_01 |
transcript.pyannote[579].start |
1618.05659375 |
transcript.pyannote[579].end |
1620.26721875 |
transcript.pyannote[580].speaker |
SPEAKER_03 |
transcript.pyannote[580].start |
1618.12409375 |
transcript.pyannote[580].end |
1618.36034375 |
transcript.pyannote[581].speaker |
SPEAKER_03 |
transcript.pyannote[581].start |
1620.26721875 |
transcript.pyannote[581].end |
1620.67221875 |
transcript.pyannote[582].speaker |
SPEAKER_03 |
transcript.pyannote[582].start |
1622.96721875 |
transcript.pyannote[582].end |
1624.77284375 |
transcript.pyannote[583].speaker |
SPEAKER_03 |
transcript.pyannote[583].start |
1625.16096875 |
transcript.pyannote[583].end |
1626.46034375 |
transcript.pyannote[584].speaker |
SPEAKER_03 |
transcript.pyannote[584].start |
1627.20284375 |
transcript.pyannote[584].end |
1631.82659375 |
transcript.pyannote[585].speaker |
SPEAKER_01 |
transcript.pyannote[585].start |
1627.32096875 |
transcript.pyannote[585].end |
1629.54846875 |
transcript.pyannote[586].speaker |
SPEAKER_01 |
transcript.pyannote[586].start |
1630.20659375 |
transcript.pyannote[586].end |
1635.58971875 |
transcript.pyannote[587].speaker |
SPEAKER_03 |
transcript.pyannote[587].start |
1634.61096875 |
transcript.pyannote[587].end |
1639.18409375 |
transcript.pyannote[588].speaker |
SPEAKER_03 |
transcript.pyannote[588].start |
1639.72409375 |
transcript.pyannote[588].end |
1647.48659375 |
transcript.pyannote[589].speaker |
SPEAKER_01 |
transcript.pyannote[589].start |
1646.47409375 |
transcript.pyannote[589].end |
1646.52471875 |
transcript.pyannote[590].speaker |
SPEAKER_01 |
transcript.pyannote[590].start |
1646.54159375 |
transcript.pyannote[590].end |
1646.79471875 |
transcript.pyannote[591].speaker |
SPEAKER_01 |
transcript.pyannote[591].start |
1647.48659375 |
transcript.pyannote[591].end |
1650.84471875 |
transcript.pyannote[592].speaker |
SPEAKER_01 |
transcript.pyannote[592].start |
1651.30034375 |
transcript.pyannote[592].end |
1656.73409375 |
transcript.pyannote[593].speaker |
SPEAKER_03 |
transcript.pyannote[593].start |
1655.58659375 |
transcript.pyannote[593].end |
1658.20221875 |
transcript.pyannote[594].speaker |
SPEAKER_03 |
transcript.pyannote[594].start |
1658.35409375 |
transcript.pyannote[594].end |
1662.04971875 |
transcript.pyannote[595].speaker |
SPEAKER_01 |
transcript.pyannote[595].start |
1662.13409375 |
transcript.pyannote[595].end |
1668.58034375 |
transcript.pyannote[596].speaker |
SPEAKER_03 |
transcript.pyannote[596].start |
1663.70346875 |
transcript.pyannote[596].end |
1665.49221875 |
transcript.pyannote[597].speaker |
SPEAKER_03 |
transcript.pyannote[597].start |
1667.63534375 |
transcript.pyannote[597].end |
1668.56346875 |
transcript.pyannote[598].speaker |
SPEAKER_03 |
transcript.pyannote[598].start |
1668.58034375 |
transcript.pyannote[598].end |
1669.76159375 |
transcript.pyannote[599].speaker |
SPEAKER_03 |
transcript.pyannote[599].start |
1670.25096875 |
transcript.pyannote[599].end |
1673.87909375 |
transcript.pyannote[600].speaker |
SPEAKER_03 |
transcript.pyannote[600].start |
1674.67221875 |
transcript.pyannote[600].end |
1676.54534375 |
transcript.pyannote[601].speaker |
SPEAKER_03 |
transcript.pyannote[601].start |
1677.00096875 |
transcript.pyannote[601].end |
1682.55284375 |
transcript.pyannote[602].speaker |
SPEAKER_03 |
transcript.pyannote[602].start |
1682.95784375 |
transcript.pyannote[602].end |
1687.63221875 |
transcript.pyannote[603].speaker |
SPEAKER_03 |
transcript.pyannote[603].start |
1689.20159375 |
transcript.pyannote[603].end |
1693.84221875 |
transcript.pyannote[604].speaker |
SPEAKER_03 |
transcript.pyannote[604].start |
1695.17534375 |
transcript.pyannote[604].end |
1699.69784375 |
transcript.pyannote[605].speaker |
SPEAKER_03 |
transcript.pyannote[605].start |
1700.69346875 |
transcript.pyannote[605].end |
1702.41471875 |
transcript.pyannote[606].speaker |
SPEAKER_03 |
transcript.pyannote[606].start |
1702.92096875 |
transcript.pyannote[606].end |
1732.50284375 |
transcript.pyannote[607].speaker |
SPEAKER_02 |
transcript.pyannote[607].start |
1726.03971875 |
transcript.pyannote[607].end |
1726.46159375 |
transcript.pyannote[608].speaker |
SPEAKER_01 |
transcript.pyannote[608].start |
1726.46159375 |
transcript.pyannote[608].end |
1726.81596875 |
transcript.pyannote[609].speaker |
SPEAKER_02 |
transcript.pyannote[609].start |
1726.81596875 |
transcript.pyannote[609].end |
1726.86659375 |
transcript.pyannote[610].speaker |
SPEAKER_01 |
transcript.pyannote[610].start |
1732.55346875 |
transcript.pyannote[610].end |
1741.46346875 |
transcript.pyannote[611].speaker |
SPEAKER_03 |
transcript.pyannote[611].start |
1735.45596875 |
transcript.pyannote[611].end |
1736.60346875 |
transcript.pyannote[612].speaker |
SPEAKER_03 |
transcript.pyannote[612].start |
1738.45971875 |
transcript.pyannote[612].end |
1738.81409375 |
transcript.pyannote[613].speaker |
SPEAKER_01 |
transcript.pyannote[613].start |
1741.59846875 |
transcript.pyannote[613].end |
1746.07034375 |
transcript.pyannote[614].speaker |
SPEAKER_03 |
transcript.pyannote[614].start |
1741.81784375 |
transcript.pyannote[614].end |
1742.44221875 |
transcript.pyannote[615].speaker |
SPEAKER_01 |
transcript.pyannote[615].start |
1746.25596875 |
transcript.pyannote[615].end |
1746.62721875 |
transcript.pyannote[616].speaker |
SPEAKER_03 |
transcript.pyannote[616].start |
1746.62721875 |
transcript.pyannote[616].end |
1746.64409375 |
transcript.pyannote[617].speaker |
SPEAKER_01 |
transcript.pyannote[617].start |
1746.64409375 |
transcript.pyannote[617].end |
1746.67784375 |
transcript.pyannote[618].speaker |
SPEAKER_01 |
transcript.pyannote[618].start |
1746.77909375 |
transcript.pyannote[618].end |
1746.96471875 |
transcript.pyannote[619].speaker |
SPEAKER_03 |
transcript.pyannote[619].start |
1746.96471875 |
transcript.pyannote[619].end |
1747.23471875 |
transcript.pyannote[620].speaker |
SPEAKER_01 |
transcript.pyannote[620].start |
1747.48784375 |
transcript.pyannote[620].end |
1747.50471875 |
transcript.pyannote[621].speaker |
SPEAKER_03 |
transcript.pyannote[621].start |
1747.50471875 |
transcript.pyannote[621].end |
1748.04471875 |
transcript.pyannote[622].speaker |
SPEAKER_03 |
transcript.pyannote[622].start |
1748.36534375 |
transcript.pyannote[622].end |
1749.54659375 |
transcript.pyannote[623].speaker |
SPEAKER_03 |
transcript.pyannote[623].start |
1749.59721875 |
transcript.pyannote[623].end |
1749.63096875 |
transcript.pyannote[624].speaker |
SPEAKER_04 |
transcript.pyannote[624].start |
1749.63096875 |
transcript.pyannote[624].end |
1749.79971875 |
transcript.pyannote[625].speaker |
SPEAKER_03 |
transcript.pyannote[625].start |
1750.12034375 |
transcript.pyannote[625].end |
1750.82909375 |
transcript.pyannote[626].speaker |
SPEAKER_03 |
transcript.pyannote[626].start |
1751.21721875 |
transcript.pyannote[626].end |
1751.72346875 |
transcript.pyannote[627].speaker |
SPEAKER_03 |
transcript.pyannote[627].start |
1752.26346875 |
transcript.pyannote[627].end |
1760.83596875 |
transcript.pyannote[628].speaker |
SPEAKER_04 |
transcript.pyannote[628].start |
1752.51659375 |
transcript.pyannote[628].end |
1754.15346875 |
transcript.pyannote[629].speaker |
SPEAKER_01 |
transcript.pyannote[629].start |
1754.15346875 |
transcript.pyannote[629].end |
1756.04346875 |
transcript.pyannote[630].speaker |
SPEAKER_01 |
transcript.pyannote[630].start |
1759.46909375 |
transcript.pyannote[630].end |
1759.94159375 |
transcript.pyannote[631].speaker |
SPEAKER_01 |
transcript.pyannote[631].start |
1761.00471875 |
transcript.pyannote[631].end |
1762.54034375 |
transcript.pyannote[632].speaker |
SPEAKER_03 |
transcript.pyannote[632].start |
1762.54034375 |
transcript.pyannote[632].end |
1762.57409375 |
transcript.pyannote[633].speaker |
SPEAKER_01 |
transcript.pyannote[633].start |
1762.57409375 |
transcript.pyannote[633].end |
1762.59096875 |
transcript.pyannote[634].speaker |
SPEAKER_03 |
transcript.pyannote[634].start |
1762.59096875 |
transcript.pyannote[634].end |
1762.62471875 |
transcript.pyannote[635].speaker |
SPEAKER_01 |
transcript.pyannote[635].start |
1762.62471875 |
transcript.pyannote[635].end |
1762.70909375 |
transcript.pyannote[636].speaker |
SPEAKER_03 |
transcript.pyannote[636].start |
1762.70909375 |
transcript.pyannote[636].end |
1762.84409375 |
transcript.pyannote[637].speaker |
SPEAKER_01 |
transcript.pyannote[637].start |
1762.84409375 |
transcript.pyannote[637].end |
1762.96221875 |
transcript.pyannote[638].speaker |
SPEAKER_03 |
transcript.pyannote[638].start |
1762.96221875 |
transcript.pyannote[638].end |
1763.16471875 |
transcript.pyannote[639].speaker |
SPEAKER_01 |
transcript.pyannote[639].start |
1762.97909375 |
transcript.pyannote[639].end |
1764.36284375 |
transcript.pyannote[640].speaker |
SPEAKER_03 |
transcript.pyannote[640].start |
1764.54846875 |
transcript.pyannote[640].end |
1765.34159375 |
transcript.pyannote[641].speaker |
SPEAKER_03 |
transcript.pyannote[641].start |
1766.08409375 |
transcript.pyannote[641].end |
1766.48909375 |
transcript.pyannote[642].speaker |
SPEAKER_03 |
transcript.pyannote[642].start |
1767.68721875 |
transcript.pyannote[642].end |
1770.42096875 |
transcript.pyannote[643].speaker |
SPEAKER_03 |
transcript.pyannote[643].start |
1771.36596875 |
transcript.pyannote[643].end |
1772.91846875 |
transcript.pyannote[644].speaker |
SPEAKER_03 |
transcript.pyannote[644].start |
1773.88034375 |
transcript.pyannote[644].end |
1775.33159375 |
transcript.pyannote[645].speaker |
SPEAKER_03 |
transcript.pyannote[645].start |
1775.73659375 |
transcript.pyannote[645].end |
1776.95159375 |
transcript.pyannote[646].speaker |
SPEAKER_03 |
transcript.pyannote[646].start |
1777.69409375 |
transcript.pyannote[646].end |
1783.16159375 |
transcript.pyannote[647].speaker |
SPEAKER_03 |
transcript.pyannote[647].start |
1783.34721875 |
transcript.pyannote[647].end |
1789.87784375 |
transcript.pyannote[648].speaker |
SPEAKER_03 |
transcript.pyannote[648].start |
1790.19846875 |
transcript.pyannote[648].end |
1798.07909375 |
transcript.pyannote[649].speaker |
SPEAKER_03 |
transcript.pyannote[649].start |
1798.55159375 |
transcript.pyannote[649].end |
1800.57659375 |
transcript.pyannote[650].speaker |
SPEAKER_03 |
transcript.pyannote[650].start |
1800.98159375 |
transcript.pyannote[650].end |
1815.61221875 |
transcript.pyannote[651].speaker |
SPEAKER_01 |
transcript.pyannote[651].start |
1816.06784375 |
transcript.pyannote[651].end |
1820.92784375 |
transcript.pyannote[652].speaker |
SPEAKER_03 |
transcript.pyannote[652].start |
1819.07159375 |
transcript.pyannote[652].end |
1819.52721875 |
transcript.pyannote[653].speaker |
SPEAKER_01 |
transcript.pyannote[653].start |
1821.29909375 |
transcript.pyannote[653].end |
1824.67409375 |
transcript.pyannote[654].speaker |
SPEAKER_02 |
transcript.pyannote[654].start |
1822.71659375 |
transcript.pyannote[654].end |
1823.61096875 |
transcript.pyannote[655].speaker |
SPEAKER_02 |
transcript.pyannote[655].start |
1843.96221875 |
transcript.pyannote[655].end |
1844.02971875 |
transcript.pyannote[656].speaker |
SPEAKER_02 |
transcript.pyannote[656].start |
1844.97471875 |
transcript.pyannote[656].end |
1845.02534375 |
transcript.pyannote[657].speaker |
SPEAKER_01 |
transcript.pyannote[657].start |
1851.85971875 |
transcript.pyannote[657].end |
1854.79596875 |
transcript.pyannote[658].speaker |
SPEAKER_01 |
transcript.pyannote[658].start |
1857.51284375 |
transcript.pyannote[658].end |
1859.97659375 |
transcript.whisperx[0].start |
7.042 |
transcript.whisperx[0].end |
10.664 |
transcript.whisperx[0].text |
好 院長謝謝麻煩請卓榮泰院長麻煩請卓院長備詢好 卓院長等待總質詢又多了兩個多禮拜不過今天我們能夠順利的來針對這個會期的總質詢我們就就事論事並且好好的來討論現在台灣面臨到的狀況上個禮拜五 |
transcript.whisperx[1].start |
36.089 |
transcript.whisperx[1].end |
59.507 |
transcript.whisperx[1].text |
您的這個針對美國關稅政策因應報告作為我們也在台下有全程的聆聽您的一個講法但是我想有一些立場以及我們對外一致的政策方向還是要先跟院長來就教首先在你的報告裡面一開始有提到這是你報告上面的文字喔 |
transcript.whisperx[2].start |
60.063 |
transcript.whisperx[2].end |
85.499 |
transcript.whisperx[2].text |
就說是川普政府他們要追求跟其他國家之間的公平互惠貿易關係他也講到驅使其他國家在貿易之中採取更公平的做法保護美國的經濟利益促進本土的產業復甦那麼說如果說在川普政府他一味的認為是說他要追求所謂更公平的做法那難道現在的做法不公平嗎 |
transcript.whisperx[3].start |
86.56 |
transcript.whisperx[3].end |
111.599 |
transcript.whisperx[3].text |
我想美國政府會認為 過多的貿易赤字對他來講是國家財政的子彈那我們怎麼認為美國政府有美國政府的講法川普有川普的講法但我們怎麼認為這個是上個禮拜我在您報告裡面我聆聽了20分鐘我沒有聽到的我們的做法我們怎麼認為川普說現在世界各國跟美國貿易是不公平的來 下一張 |
transcript.whisperx[4].start |
112.322 |
transcript.whisperx[4].end |
129.469 |
transcript.whisperx[4].text |
這段應該是在描述美國的政府的立場說法所以你的報告把美國的講法寫出來但我要知道是中華民國政府怎麼認為啊裡面有提到我們跟美國任何的談判都是在爭取國家最大的利益也是在維護產業國際但是回歸前提 |
transcript.whisperx[5].start |
132.642 |
transcript.whisperx[5].end |
160.508 |
transcript.whisperx[5].text |
院長我們共同面臨到是美國總統川普他是一個強人他是一個談判高手大家都知道關稅只是第一步可能之後接下來還有匯率可能接下來還有國債這都是美國政府的問題一個一個想要跟世界各國來解決但現在我們要看到的是中華民國政府我們怎麼認為美國政府講的事情是對或錯 |
transcript.whisperx[6].start |
161.728 |
transcript.whisperx[6].end |
184.014 |
transcript.whisperx[6].text |
當川普講是說這是不公平的貿易行為的時候我們認為這是不公平的嗎我想我不宜去公開批評哪一個政府的對錯我只說我們跟美國之間沒有公開批評啊我說我不宜啦我說我們跟美國之間或我跟我們跟世界各國之間所以過去我們跟美國政府所做真的有不公平嗎 |
transcript.whisperx[7].start |
185.626 |
transcript.whisperx[7].end |
201.554 |
transcript.whisperx[7].text |
我們希望追求的雙方互利而且貿易不要失衡的狀況底下但是我方有我方的利益點對方有對方的考量比方說我們在高科技這個產品上面如果給我們更多的優惠的情況底下 |
transcript.whisperx[8].start |
202.114 |
transcript.whisperx[8].end |
230.437 |
transcript.whisperx[8].text |
會有利於我們整個產業的結構跟產業的升級跟發展這個是我方的利益我們跟美國順差是事實是不否認但是我們的順差建立在是因為不公平所以才造成順差嗎這個順差建立在我們在川普總統第一任的時候有大量的台商回來台灣是嘛所以這不是不公平嘛也建立在整個AI的發展起來是嘛這是我們台灣人企業的高科技的強盛嘛所以這不是不公平嘛 |
transcript.whisperx[9].start |
231.338 |
transcript.whisperx[9].end |
250.174 |
transcript.whisperx[9].text |
那為什麼連一句我們對美國講川普總統講說這是不公平他一竿子打翻一傳台灣外公一句話叫打外逃啦他先打外逃說不公平然後再來請各位談判小組來談判如果我們順著他話講的話那我們不就是掉入他談判高手的陷阱嗎 |
transcript.whisperx[10].start |
250.814 |
transcript.whisperx[10].end |
272.839 |
transcript.whisperx[10].text |
我一定放心我們當然不會掉入一個你認為的陷阱或是我們沒有考慮到的問題我們不會掉入到那個問題裡面院長我先請教所以之前美國總統川普也講說台灣偷走半導體產業他要把它給拿回來這句話你認同嗎台灣的半導體領先產業在國內保持所以台灣有偷嗎 |
transcript.whisperx[11].start |
273.934 |
transcript.whisperx[11].end |
293.401 |
transcript.whisperx[11].text |
我們一定在國內保持繼續最領先的這個地位所以台灣沒有偷嘛對全世界來講台灣沒有偷沒有偷我們跟世界充分的合作我們在製造上面的這個發展是大家所肯定的但研發過程或許要互相的學習院長這就本席先提出來在您上禮拜五的報告裡面 |
transcript.whisperx[12].start |
294.246 |
transcript.whisperx[12].end |
308.911 |
transcript.whisperx[12].text |
沒有看到我們針對川普總統一開始所講所謂的不公平所謂的偷半導體偷晶片等相關做出很強硬具體而且捍衛我國主張立場的說法 |
transcript.whisperx[13].start |
309.611 |
transcript.whisperx[13].end |
328.644 |
transcript.whisperx[13].text |
再來對不起也許我有一些看到我們有很多的敘述但是我認為我們的重點在於解決的方法院長我也想要知道解決方法所以現在賴清德總統也說了我們已經有第一階段的談判嘛是不是好不就細節因為我知道這個談判會一而再再而三但是我們預期會有幾階段談判 |
transcript.whisperx[14].start |
330.206 |
transcript.whisperx[14].end |
354.351 |
transcript.whisperx[14].text |
預期會有幾階段這無法預期我們只知道說我們現在4月11日要開始的視訊會議我們的視訊會議如果牽扯到機密你不用回答我們視訊會議現在官員成績到多少官員成績因為我知道說我們的談判小組現在是由副院長來做領導嘛副院長依法過去到現在立院是沒有邀請他上備巡台 |
transcript.whisperx[15].start |
355.114 |
transcript.whisperx[15].end |
381.429 |
transcript.whisperx[15].text |
那所以我想邀請可能沒有辦法跟委員報告從台美經貿請教第一次的視訊會議副院長有主持嗎台美經貿專案小組都是副院長在主持那對外談判對外談判的總負責人就是我們的政委談判代表楊振尼政委這是我們一直對外的這個分工王政委所以當天第一次的這個談判視訊談判王政委主持 |
transcript.whisperx[16].start |
382.925 |
transcript.whisperx[16].end |
399.235 |
transcript.whisperx[16].text |
但是我們基於雙方的默契我想美方也沒有說他們的談判代表是誰我們也沒有在打破這個默契這是一個團隊好 本席想要了解的是因為現在看得出來是川普總統在主導一切的政策 |
transcript.whisperx[17].start |
399.994 |
transcript.whisperx[17].end |
427.304 |
transcript.whisperx[17].text |
那我們來看一下最近亞洲日本跟我們很直接嘛日本即將在18號正式要有談判那過去我們也看到新聞是日本首相跟川普總統直接面對面的談判這可能就直指核心啦我們打蛇打青春 情蛇牽行王啊那談判過程一定是這樣子那我們現在還沒有辦法了解說我們的成績到多少但是我們只有政委是主要的談判負責人 |
transcript.whisperx[18].start |
428.151 |
transcript.whisperx[18].end |
456.826 |
transcript.whisperx[18].text |
他是一個團隊 我的政委是我們的總談判代表團隊嘛 但是我們最高就是政委嘛 是不是這樣他是我們的總談判代表好 總談判代表就是我們的楊政委 是不是但日本現在看起來是他們的首相而且日本的首相在對他們的國會裡面講他講說不會妥協 並且說報復性的關稅選項也沒有被排除當然 他事前先講是說報復性的關稅不符合國家利益但是沒有排除 |
transcript.whisperx[19].start |
457.968 |
transcript.whisperx[19].end |
482.554 |
transcript.whisperx[19].text |
對比我們現在我們自己一直在強調說我們到底籌碼還有多少那我想請教一下院長我們到目前為止我們現在盤點我們手中的籌碼我們的談判進行的成果你覺得會是比日本好還是比日本差如果當年我們不是被排除或是主動退出聯合國我也會努力現在打電話給川普總統院長 |
transcript.whisperx[20].start |
485.031 |
transcript.whisperx[20].end |
501.259 |
transcript.whisperx[20].text |
我們現在在講2025年的關稅你跟我講是1976年1974年的事情石破首相跟川普總統直接對談可不可以面對問題解決問題我們來focus在現在的問題我從開始到現在我一直強調的是說我們怎麼樣能夠增加我們的談判籌碼我們來努力 |
transcript.whisperx[21].start |
507.702 |
transcript.whisperx[21].end |
532.989 |
transcript.whisperx[21].text |
我現在在講的是日本首相他有提到他也跟國內講了他講說報復性的關稅沒有排除但不會是他的優先選項對比我們中華民國一開始就講說不會採取報復性的關稅那是不是我們就少了一個可以談判的工具跟籌碼沒有 但我們還是進到第一輪最優先的談判的地位去啦院長 |
transcript.whisperx[22].start |
535.495 |
transcript.whisperx[22].end |
551.004 |
transcript.whisperx[22].text |
本席就事論性和理性的跟您討論現在看到川普總統有講說甚至有可能有些國家可以有10%豁免的關稅我們有沒有機會爭取到當然這個都是從談判的立即點開始談起的 |
transcript.whisperx[23].start |
552.497 |
transcript.whisperx[23].end |
569.647 |
transcript.whisperx[23].text |
總統說我們從零關稅談起就是一個態度我們不會採取報復這也是一個態度如果不是這樣子的話我們有可能現在就排在後面也許我們排在145去了但是我們沒有我們就站在最優先的地位只要我們備足了我們自己的方案我們的談判代表團 |
transcript.whisperx[24].start |
571.772 |
transcript.whisperx[24].end |
585.45 |
transcript.whisperx[24].text |
跟談判的時間準備出來我們就可以談判了一直講說台美關係最好一直講說台美的夥伴關係最佳結果居然講是說原來我們可以進入到第一階段談判是因為我們先接受零關稅談起 |
transcript.whisperx[25].start |
586.992 |
transcript.whisperx[25].end |
612.201 |
transcript.whisperx[25].text |
我們沒有這樣講 你剛剛講的意思就這樣你講說如果說沒有的話我們沒有宣布說零關稅的話我們就是145名以後嘛所以到底哪一句話是真的我想這是要讓國人知道因為兩千三百五十萬人共同面對共同承擔你說我們要面對事實嘛 總統講出來的話從零關稅談起 我們現在採取報復所以我們事實就是站在最優先的地位說實在話 我們再來討論一下 |
transcript.whisperx[26].start |
615.882 |
transcript.whisperx[26].end |
642.433 |
transcript.whisperx[26].text |
我們的籌碼還有哪一些半導體是我們很重要的籌碼嗎我認為我們籌碼第一個是我們有高科技的國家力量是沒有錯第二個我們應該有的籌碼是國內團結當然所以我到現在為止跟您都講的是我們對外一致中華民國對國內我跟你政黨立場不同但是對國外我們一致對外就是以中華民國為台灣兩千三百五十萬人的利益為優先這一點請您記得來請看一下 |
transcript.whisperx[27].start |
644.051 |
transcript.whisperx[27].end |
671.088 |
transcript.whisperx[27].text |
揮打昨天有宣布說他要斥資攜手台積電攜手鴻海攜手偉創宣布五千億四年的美國投資想請教台積電 鴻海 偉創這一些他是多增加五千億還是說是之前跟台積電一樣就是宣布他在美國投資一千億美元有沒有掌握這個因為昨天晚上 |
transcript.whisperx[28].start |
672.386 |
transcript.whisperx[28].end |
693.176 |
transcript.whisperx[28].text |
NVIDIA這樣的宣布嘛那國內的廠商要到國外去做任何的投資都要經過投審會投審機制 沒錯所以也還沒有經過投審會當然 昨天晚上到現在是沒有經過投審會那輝達已經先宣布了五千億台積電 偉創 鴻海至少輝達裡面就已經講到這三家大型企業也是我們國內非常重要的企業 |
transcript.whisperx[29].start |
694.076 |
transcript.whisperx[29].end |
717.976 |
transcript.whisperx[29].text |
那我們現在也過了 您剛講了從昨天晚上到現在也過了至少12個小時有沒有去了解掌握詢問到底是多增加投資還是跟之前台積電所宣布的1000億或是美國總統川普把他宣布的2000億是重疊的民間企業要對國外去投資是他來申請不是我們去問他他們是一般的民間企業嗎 |
transcript.whisperx[30].start |
719.605 |
transcript.whisperx[30].end |
730.343 |
transcript.whisperx[30].text |
理論上他程序是要如此啊我們的籌碼是我們的籌碼是我們的高科技這是您剛開公民營的第一個籌碼結果我們現在籌碼被回答先喊了 |
transcript.whisperx[31].start |
731.368 |
transcript.whisperx[31].end |
757.48 |
transcript.whisperx[31].text |
如果說是我們談判的過程裡面我們講說我們的台積電、鴻海跟偉創可以去投資會不會更有談判的空間?你也應該知道啊世界各國跟這一次美國關稅在計算的過程當中過去什麼樣的合作都不影響它那個公司的計算那我們過去最怕什麼?過去最怕說台積電去美投資一千億會連動所謂的鴻溪效應 |
transcript.whisperx[32].start |
758.601 |
transcript.whisperx[32].end |
785.629 |
transcript.whisperx[32].text |
就是把上中下游廠商一起帶過去這有它產業的需求跟考量是 所以現在是不是已經看到這樣的一個起步了如果說輝達去 鴻海去 台積電去 偉創去那您一直跟我講說昨天晚上的事情但是從昨天晚上到現在已經12個小時了你難道沒有認為是說應該要了解一下請經濟部 請我們相關的部會去了解一下我知道你的心急啦是 當然急啊 |
transcript.whisperx[33].start |
786.949 |
transcript.whisperx[33].end |
791.714 |
transcript.whisperx[33].text |
不實際 昨天的晚上是我們的晚上我們現在白天是對方的晚上院長 |
transcript.whisperx[34].start |
792.654 |
transcript.whisperx[34].end |
821.214 |
transcript.whisperx[34].text |
我們不要做這種細節我們鴻海台積電偽創在國內沒有研發中心沒有營運總部嗎對 但是在美國的宣布他們必須用程序來跟政府做說明但你不能要求12個小時以內我沒有不合理的要求是因為這是國人大家共同所關心的事情因為我們現在面臨到的是整個世界的挑戰跟變化院長我希望但是我們要穩住我希望 |
transcript.whisperx[35].start |
822.082 |
transcript.whisperx[35].end |
830.221 |
transcript.whisperx[35].text |
本席所提出來的疑問都可以獲得您的解答每個人本席站在這邊代表的是人民 |
transcript.whisperx[36].start |
831.075 |
transcript.whisperx[36].end |
854.714 |
transcript.whisperx[36].text |
本席站在這邊為人民發聲本席站在這邊是希望人民的聲音能夠被行政部門聽到並且獲得解答院長所以今天早上經濟部部長有受訪的時候講到是說假扣動假報吃苦當吃補台灣人不都是這樣嗎您覺得這算不算失言還是預告我們的苦日子要來了 |
transcript.whisperx[37].start |
855.609 |
transcript.whisperx[37].end |
876.514 |
transcript.whisperx[37].text |
沒有我覺得這個是當我們面對一個挑戰的時候你如果是有健康的態度面對它而不是懷憂喪志而必須絕對沒有懷憂喪志但我們要超前部署我們要正向 積極 陽光 專業這才是重點啊像4月3號以前我們就把所有關稅可能的推估算出來這就是超前部署 |
transcript.whisperx[38].start |
877.054 |
transcript.whisperx[38].end |
890.935 |
transcript.whisperx[38].text |
但是一出來之後我們不會馬上第一時間就有看你的報告但現在很遺憾的是當本席從質詢到現在15分鐘我都還沒有獲得你正式正面的一個回答再來 我想請教 院長 |
transcript.whisperx[39].start |
892.652 |
transcript.whisperx[39].end |
920.414 |
transcript.whisperx[39].text |
現在有委員不管藍營立委綠營立委甚至有產業界也都有建議我們現在談判小組當然政委他可能有他的專業但是以國際形勢瞬息萬變來講以及我們真的希望是能夠直指核心跟川普總統來去做一個溝通跟談判有人建議是說是不是能夠敦請我們前總統蔡英文女士來擔任我們的談判小組召集人 |
transcript.whisperx[40].start |
921.994 |
transcript.whisperx[40].end |
947.406 |
transcript.whisperx[40].text |
您的聲音我們都聽見了各方的聲音我們都聽見了但是基於現在您覺得合不合適我們跟美國的這種關係第一 蔡英文總統 陳總統她的英文非常流利絕對沒有問題第二 她應該算是我們中華民國史上元首以前先不講 民選元首直接跟美國總統通過電話的人蔡前總統的語文 她的談判能力她的國際視野以及對國內政務的賢熟度 |
transcript.whisperx[41].start |
950.823 |
transcript.whisperx[41].end |
969.883 |
transcript.whisperx[41].text |
絕對沒有問題但是現在國家的外交途徑我們要跟國外任何一個國家進行交涉我們都必須就人選互相有默契所以是美國不接受蔡英文前總統我們沒有這樣說那你剛又講說跟國家有默契那我們現在不就是跟美國談判嗎 |
transcript.whisperx[42].start |
971.044 |
transcript.whisperx[42].end |
998.891 |
transcript.whisperx[42].text |
我們現在已經啟動了談判了是那我們現在在講是說如果說有更有代表性甚至更能夠直接溝通會不會更能夠對於我們中華民國為我們台灣取得一個優秀的位置那現在是卓院長不願意去去拜託蔡英文前總統還是賴總統不願意拜託蔡英文前總統我想蔡英文前總統會非常了解今天委員對他的肯定 |
transcript.whisperx[43].start |
1001.786 |
transcript.whisperx[43].end |
1021.158 |
transcript.whisperx[43].text |
你非常肯定蔡前總統 全國人民都知道了 謝謝你沒有問題 我說實在話 面對問題我們解決問題我確實 蔡英文前總統她的英文能力我剛講了 以及她跟川普總統通過電話這如果能夠為我們中華民國爭取到更有利的位置 何樂而不為 |
transcript.whisperx[44].start |
1021.998 |
transcript.whisperx[44].end |
1041.872 |
transcript.whisperx[44].text |
當然啊這就是我們現在要凝聚以及我們要展現的籌碼但我覺得很遺憾的是很多東西是我們有籌碼可是我們民進黨政府好像不願意用來籌碼不是擺在桌上賭徒才會把籌碼擺在桌上我們不是賭徒我們不是在做一場世界性的大賭博 |
transcript.whisperx[45].start |
1043.322 |
transcript.whisperx[45].end |
1053.613 |
transcript.whisperx[45].text |
我們在做世界性的大補賭我們不是賭徒才會把籌碼擺在桌上我實在沒有辦法聽得懂你的這樣的一個講法因為被本席來講這絕對不是一場賭博被本席來講台灣的產業發展我們的中小企業我們的農業我們的相關產業絕對不是賭博 |
transcript.whisperx[46].start |
1064.144 |
transcript.whisperx[46].end |
1086.346 |
transcript.whisperx[46].text |
如果你以賭博的心態來看待的話我覺得非常的遺憾而且我覺得會非常的危險我們的籌碼是放在我們應該放的地方不是擺在這裡討論的我再請教880億現在有講是說要延後一個禮拜提出來那我們也看到之前其實特別預算編列有 |
transcript.whisperx[47].start |
1087.096 |
transcript.whisperx[47].end |
1114.366 |
transcript.whisperx[47].text |
那時候是超徵稅收所以說我們有編列了一個特別預算條例那時候還是用易後強化經濟跟社會韌性以及全民共享經濟成果特別條例這時候你應該了解嘛到最後是3800億的一個規模分三個部分有普發現金有補助台電以及有所謂的這個易後的重建跟補貼等等那我們現在請教一下我們現在要提出來的這880億 |
transcript.whisperx[48].start |
1116.465 |
transcript.whisperx[48].end |
1126.567 |
transcript.whisperx[48].text |
的特別預算預計也是採取用特別條例的方式對吧必須要有特別條例是那什麼時候會提出來呢什麼時候會提出來 |
transcript.whisperx[49].start |
1128.294 |
transcript.whisperx[49].end |
1155.964 |
transcript.whisperx[49].text |
我們一開始提出了880億的支持方案結果有人說我們大傻逼有人說2000億我們又跟產業界進行了各種不同的方式的溝通產業界又給了我們一些意見所以我們重新再整合這樣的一個基礎跟規模把產業界的意見加進來我們現在努力在下個禮拜盡快能夠通過一個特別條例出行政院 |
transcript.whisperx[50].start |
1157.091 |
transcript.whisperx[50].end |
1164.673 |
transcript.whisperx[50].text |
下個禮拜會通過特別條例那規模會是比除了880億以外還會不會增加其他的部分其他的 |
transcript.whisperx[51].start |
1166.982 |
transcript.whisperx[51].end |
1193.149 |
transcript.whisperx[51].text |
盤點這幾天跟產業界的這個座談所以預計會有多大的規模目前我還沒有辦法說一個我們就是以八百八十億當作基礎當作這個架構我再看一下上次的一個特別條例到最後裡面是有包含這也是行政院之後提出來的有包含補發現金六千塊所以有一千一百多億有包含補貼是一千三百七十億以及補助台電一千億 |
transcript.whisperx[52].start |
1194.195 |
transcript.whisperx[52].end |
1214.611 |
transcript.whisperx[52].text |
所以我們在這次的這個特別條例裡面會有其他的方向嗎?有符合現在這個趨勢所需要的我們會考量產業界的需求跟國人的需求所以本期可以就院長剛剛講這一段話來推估有可能推出的特別條例的原額額度比880億還要高 |
transcript.whisperx[53].start |
1216.485 |
transcript.whisperx[53].end |
1239.265 |
transcript.whisperx[53].text |
目前有這個可能但是還沒有做任何的定案好那再來喔15個縣市長上個禮拜也開了一次會並且有四大建言我看到院長接受這個媒體詢問的時候講了一句話說對的事情大家一起談我其實是認同的還有一句話沒有講這不對的事情 |
transcript.whisperx[54].start |
1240.151 |
transcript.whisperx[54].end |
1266.389 |
transcript.whisperx[54].text |
不要拿來談不對的事情不要拿來談那對的事情什麼是對的事情什麼是不對的事情也不是您認定也不是大家認定而是我們一起共同集思廣益想方法我想院長不應該那麼的一個威權的態度認為是說在野或者是縣市長所提出來的對與不對我想我們不要用這樣子一個判斷我們跟產業座談也是要得到更多這樣的意見所以15位縣市長代表性算足了吧 |
transcript.whisperx[55].start |
1270.95 |
transcript.whisperx[55].end |
1299.531 |
transcript.whisperx[55].text |
地方父母官2022年的民意選出來並且他們第一線的去溝通了解產業的需求即便15個縣市長跟院長可能是不同黨派但畢竟他也服務超過三分之二台灣的人口數那15個縣市長所提出來的這個意見我覺得院長真的應該要好好的來談一談我們都從不了解他們提出的意見你說你不了解 |
transcript.whisperx[56].start |
1300.131 |
transcript.whisperx[56].end |
1327.739 |
transcript.whisperx[56].text |
我們都充分了解那其中有提到既然要談裡面包括說普發現金的建議包括說召開國事會議您認為呢我記得他提了七項還幾項意見吧四大項其中有一項就是說國事因為你認為是說對的事情大家一起談嘛那我剛剛聽你的這個詢答裡面也不認為是說所有提出來這四大項 |
transcript.whisperx[57].start |
1329.298 |
transcript.whisperx[57].end |
1358.277 |
transcript.whisperx[57].text |
都不能談嘛那既然要談大家應該要坐下來談啊那國事會議現在建議召開國事會議趕快縣市長不只藍營縣市長綠營縣市長都一起來談我剛剛說說是盧市長中部八個縣市提出的七項建議侯市長新北市他也提出了四項建議那張善政市長桃園他也提出好像有四項建議然後上禮拜四十五個縣市長也提出了建議一二十項的建議我們都把它充分了解放在一起 |
transcript.whisperx[58].start |
1360.218 |
transcript.whisperx[58].end |
1378.825 |
transcript.whisperx[58].text |
要不要談?談哪一件?對的事情大家一起談啊這是你講的啊我們會找當中對的事情好好的來談所以現在的講師說要召開國事會議您的態度是什麼?國事會議應該不是我一個人決定開不開的問題這一定要社會的共識國事會議是要總統啦但重點在於說您要不要建議總統是不是應該大家來溝通 |
transcript.whisperx[59].start |
1387.236 |
transcript.whisperx[59].end |
1408.026 |
transcript.whisperx[59].text |
我們已經過去到現在已經討論有很多重大方向跟決策我也肯定你的講法啊對的事情大家一起談但重點是現在談要不要有一個方向要不要一個會議要不要一個做法您可以在討論相關事件的時候也找在野黨來溝通三黨團也都到行政院溝通嘛 |
transcript.whisperx[60].start |
1408.706 |
transcript.whisperx[60].end |
1435.231 |
transcript.whisperx[60].text |
那現在15個縣市長站出來我們是不是應該也要有正向回應15個縣市長的訴求我們都相信總統也看到了這個剛剛您說的這幾項的建議那至於該怎麼做我們現在這個禮拜你也看到最重要的是準備跟美方談判的所有的過程這個不是國事會議可以取代的所以我們先把眼前該做的事情把它做好院長 |
transcript.whisperx[61].start |
1438.933 |
transcript.whisperx[61].end |
1451.568 |
transcript.whisperx[61].text |
國政多如牛毛但絕對沒有哪一個優先哪一個順序你剛剛就有講到你的特別條例下個禮拜要提出來 |
transcript.whisperx[62].start |
1452.452 |
transcript.whisperx[62].end |
1480.148 |
transcript.whisperx[62].text |
那是不是就已經在一起來進行美國的談判很重要我們國內的特別條例很重要相關的治安相關的國內的發展也很重要所以這是每一個委員站在這邊因應不同面向因為每一個委員有每一個選區不同的想法不同的考量都要提供給您而不是一竿子的否定院長我想請教到目前在一個月左右 |
transcript.whisperx[63].start |
1481.092 |
transcript.whisperx[63].end |
1508.34 |
transcript.whisperx[63].text |
就是520也就是內閣團隊上任一週年到目前為止你有沒有看到今天最新的民調不管是賴總統或是您自己我們來看一下幾張支持度上任以來最低次低啦上任以來次低但是看起來它也接近了這個交叉點 |
transcript.whisperx[64].start |
1510.063 |
transcript.whisperx[64].end |
1522.531 |
transcript.whisperx[64].text |
那520即將到來你認為隔園也好或是我們整個團隊有沒有需要調整的必要隔園在將近11個月的過程裡面都非常的認真但面對所有的問題我當然 |
transcript.whisperx[65].start |
1524.967 |
transcript.whisperx[65].end |
1548.516 |
transcript.whisperx[65].text |
會不會調整我們不會沒有可能把所有的事情做得圓滿當然當中有值得檢討的地方值得檢討的地方那會不會調整因為一年時間到了國人會期待看到我們的週年成績單我不知道說在520的時候你可以拿出什麼樣週年成績單來說服國人讓國人的滿意度提升但另外一個部分是我們的內閣團隊有沒有調整的計畫方向 |
transcript.whisperx[66].start |
1549.775 |
transcript.whisperx[66].end |
1564.156 |
transcript.whisperx[66].text |
委員你應該知道你在這樣問不會得到我的答案我要說會對閣員我如果說會 是不是會打擊閣員的實際院長我必須很鄭重的要求你我鄭重的敬告 |
transcript.whisperx[67].start |
1565.217 |
transcript.whisperx[67].end |
1589.465 |
transcript.whisperx[67].text |
本席站在這邊問的都是人民所關心的議題如果說你用那麼輕描的態度說這樣問不會有答案那這樣子是質詢嗎這樣是質詢的精神嗎我沒有講特定人我沒有指名道姓誰我現在只是問你說有沒有調整的方向連這樣子你都這樣子都可以傲慢的不回答我剛剛跟你說了大家都很努力但是不是每件事情都做得很好我們必須檢討來 |
transcript.whisperx[68].start |
1591.26 |
transcript.whisperx[68].end |
1620.465 |
transcript.whisperx[68].text |
那人事的部分有一個東西你總是可以回答了NCC的委員什麼時候要提出來這個我自己要檢討我盡快把它提出來確實喔來 院長去年11月28的時候我們行政院就講了卓龍泰緊鑼密鼓的爭取中到現在四個半月過去了名單沒有出來我們嘗試很多但是遇到很多的困難說真的為什麼 |
transcript.whisperx[69].start |
1623.819 |
transcript.whisperx[69].end |
1638.941 |
transcript.whisperx[69].text |
徵詢是大家不願意還是你徵詢的人還是不夠專業怕名單提出來之後被大家覺得說否定我們徵詢的對象一定是符合一定的專業程度好 那你有跟誰討論我想在場有NCC代理主委啊 |
transcript.whisperx[70].start |
1640.391 |
transcript.whisperx[70].end |
1655.169 |
transcript.whisperx[70].text |
來有跟代理主委溝通嗎說我現在名單還沒有完成那NCC的業務會不會停擺有沒有關心過我一直要把這個人事給他補上來但是很多談的他當然有基本的專業的程度但是 |
transcript.whisperx[71].start |
1655.609 |
transcript.whisperx[71].end |
1673.18 |
transcript.whisperx[71].text |
所以我們中華民國兩千三百五十萬人沒有符合院長標準要求的四位人選為什麼四個半月提不出來來我們看一下因為代理主委說我不清楚啊行政院沒有找他討論啊 |
transcript.whisperx[72].start |
1674.764 |
transcript.whisperx[72].end |
1699.351 |
transcript.whisperx[72].text |
所以院長你自己也不找現在代理主委討論然後就讓NCC的委員名單一直提不出來你如果說沒有提出來立法院連審都沒有辦法審你了解吧我了解好再來因為人數不足所以現在空轉37家頻道面臨了換照問題怎麼辦誰要負起責任我還在努力盡快把它找一個人什麼時候可以提出來 |
transcript.whisperx[73].start |
1701.051 |
transcript.whisperx[73].end |
1715.436 |
transcript.whisperx[73].text |
醜媳婦總要見公婆那本席期待的其實你謹慎是好事啊如果說你三個月的時間謹慎提出專業合乎大眾需求標準的名單我想立法院沒有否決的理由 |
transcript.whisperx[74].start |
1715.996 |
transcript.whisperx[74].end |
1734.684 |
transcript.whisperx[74].text |
但最怕的就是你提出來的名單是不夠專業或是讓大家覺得就像過去一樣是因人設事 因黨設事那當然我們就有審查的空間可是我們現在要講的是四個半月過去了那請教院長 現在總質詢什麼時候可以提出來非常抱歉 我們找的人一定符合相當的專業水準 |
transcript.whisperx[75].start |
1735.464 |
transcript.whisperx[75].end |
1764.202 |
transcript.whisperx[75].text |
所以要繼續空轉他未來的工作他相當有過濾那會讓NCC繼續空轉嗎沒有我們盡量努力那盡量努力什麼時候提出來如果我可以說個時間我希望這個月份我能夠提出來名單這個月這個月所以只剩兩個禮拜會不會跳票不會吧院長你在總質詢的承諾不要跳票兩個月四月底以前我們看到您提出來的名單可以嗎其實我已經在準備差不多好了但是這個最後差一點點的功夫 |
transcript.whisperx[76].start |
1764.622 |
transcript.whisperx[76].end |
1772.692 |
transcript.whisperx[76].text |
最後 院長我們還是看一下現在最近的共諜案共諜案的部分 我想 |
transcript.whisperx[77].start |
1773.925 |
transcript.whisperx[77].end |
1797.25 |
transcript.whisperx[77].text |
中華民國是我的國家台灣是我的家園任何人想要消滅中華民國我都反對共產黨要消滅中華民國我反共台獨想要消滅中華民國我反台獨因為這就是我們的國家我們大家一起安身立命但現在我們看到民進黨政府從總統府從黨部從外交部都有共諜的發聲 |
transcript.whisperx[78].start |
1798.89 |
transcript.whisperx[78].end |
1823.538 |
transcript.whisperx[78].text |
這樣的狀況很多人在講啊是不是還有更大咖我們現在有沒有針對這部分因為我覺得這非常的重要國安議題但是也是我們現在各部會大家共同要面對的有沒有專案小組或說來了解現在到底還有多少有可能潛在的共諜就因為我們之前已經發現了這樣的威脅所以總統才在第二次國安會議當中會不會還有更大咖 |
transcript.whisperx[79].start |
1851.935 |
transcript.whisperx[79].end |
1854.159 |
transcript.whisperx[79].text |
好 謝謝洪孟凱委員 謝謝主委長備詢接下來我們請登記第50號 |