IVOD_ID |
159192 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159192 |
日期 |
2025-03-14 |
會議資料.會議代碼 |
院會-11-3-5 |
會議資料.會議代碼:str |
第11屆第3會期第5次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
5 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第5次會議 |
影片種類 |
Clip |
開始時間 |
2025-03-14T15:02:36+08:00 |
結束時間 |
2025-03-14T15:33:57+08:00 |
影片長度 |
00:31:21 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7c41c7866a52398ab710bb6433dba8f2769f2953f6d3be092525bc40d122646afc99ef46c3be2bc15ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王世堅 |
委員發言時間 |
15:02:36 - 15:33:57 |
會議時間 |
2025-03-14T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第5次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、3月14日上午9時至10時為國是論壇時間。三、3月18日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
41.74596875 |
transcript.pyannote[0].end |
42.50534375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
42.96096875 |
transcript.pyannote[1].end |
43.73721875 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
44.69909375 |
transcript.pyannote[2].end |
45.30659375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
45.74534375 |
transcript.pyannote[3].end |
46.94346875 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
50.25096875 |
transcript.pyannote[4].end |
51.04409375 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
58.09784375 |
transcript.pyannote[5].end |
58.82346875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
59.53221875 |
transcript.pyannote[6].end |
60.08909375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
60.81471875 |
transcript.pyannote[7].end |
62.14784375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
62.94096875 |
transcript.pyannote[8].end |
63.26159375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
63.49784375 |
transcript.pyannote[9].end |
65.28659375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
65.80971875 |
transcript.pyannote[10].end |
66.40034375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
66.90659375 |
transcript.pyannote[11].end |
67.48034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
68.50971875 |
transcript.pyannote[12].end |
69.57284375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
70.16346875 |
transcript.pyannote[13].end |
70.68659375 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
71.14221875 |
transcript.pyannote[14].end |
72.72846875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
73.57221875 |
transcript.pyannote[15].end |
76.00221875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
76.66034375 |
transcript.pyannote[16].end |
78.06096875 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
78.39846875 |
transcript.pyannote[17].end |
79.37721875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
80.13659375 |
transcript.pyannote[18].end |
80.86221875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
81.11534375 |
transcript.pyannote[19].end |
81.62159375 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
81.85784375 |
transcript.pyannote[20].end |
83.29221875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
83.84909375 |
transcript.pyannote[21].end |
84.42284375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
84.72659375 |
transcript.pyannote[22].end |
85.89096875 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
86.27909375 |
transcript.pyannote[23].end |
86.97096875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
87.51096875 |
transcript.pyannote[24].end |
90.48096875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
91.84784375 |
transcript.pyannote[25].end |
92.35409375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
92.80971875 |
transcript.pyannote[26].end |
93.75471875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
94.56471875 |
transcript.pyannote[27].end |
95.88096875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
96.16784375 |
transcript.pyannote[28].end |
97.38284375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
97.80471875 |
transcript.pyannote[29].end |
99.18846875 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
100.03221875 |
transcript.pyannote[30].end |
101.75346875 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
103.35659375 |
transcript.pyannote[31].end |
104.87534375 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
105.70221875 |
transcript.pyannote[32].end |
108.09846875 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
108.89159375 |
transcript.pyannote[33].end |
110.74784375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
112.28346875 |
transcript.pyannote[34].end |
114.40971875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
115.08471875 |
transcript.pyannote[35].end |
115.27034375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
115.59096875 |
transcript.pyannote[36].end |
116.11409375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
116.38409375 |
transcript.pyannote[37].end |
117.80159375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
118.79721875 |
transcript.pyannote[38].end |
119.99534375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
120.73784375 |
transcript.pyannote[39].end |
121.21034375 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
122.02034375 |
transcript.pyannote[40].end |
123.47159375 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
123.92721875 |
transcript.pyannote[41].end |
124.65284375 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
125.54721875 |
transcript.pyannote[42].end |
126.62721875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
127.18409375 |
transcript.pyannote[43].end |
127.85909375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
128.16284375 |
transcript.pyannote[44].end |
130.01909375 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
130.69409375 |
transcript.pyannote[45].end |
133.20846875 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
133.37721875 |
transcript.pyannote[46].end |
134.28846875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
134.40659375 |
transcript.pyannote[47].end |
135.40221875 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
136.29659375 |
transcript.pyannote[48].end |
137.83221875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
138.01784375 |
transcript.pyannote[49].end |
139.14846875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
139.80659375 |
transcript.pyannote[50].end |
140.14409375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
140.66721875 |
transcript.pyannote[51].end |
141.67971875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
141.86534375 |
transcript.pyannote[52].end |
142.27034375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
142.45596875 |
transcript.pyannote[53].end |
144.98721875 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
168.44346875 |
transcript.pyannote[54].end |
170.90721875 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
171.24471875 |
transcript.pyannote[55].end |
173.92784375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
174.48471875 |
transcript.pyannote[56].end |
176.08784375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
176.25659375 |
transcript.pyannote[57].end |
176.37471875 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
177.57284375 |
transcript.pyannote[58].end |
178.07909375 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
178.65284375 |
transcript.pyannote[59].end |
179.00721875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
180.40784375 |
transcript.pyannote[60].end |
180.94784375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
182.98971875 |
transcript.pyannote[61].end |
184.76159375 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
185.87534375 |
transcript.pyannote[62].end |
186.33096875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
186.66846875 |
transcript.pyannote[63].end |
186.90471875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
187.81596875 |
transcript.pyannote[64].end |
188.30534375 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
188.45721875 |
transcript.pyannote[65].end |
189.31784375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
189.72284375 |
transcript.pyannote[66].end |
191.98409375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
192.69284375 |
transcript.pyannote[67].end |
194.26221875 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
194.80221875 |
transcript.pyannote[68].end |
197.19846875 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
197.43471875 |
transcript.pyannote[69].end |
198.73409375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
198.98721875 |
transcript.pyannote[70].end |
199.35846875 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
200.16846875 |
transcript.pyannote[71].end |
200.82659375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
202.36221875 |
transcript.pyannote[72].end |
204.48846875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
205.07909375 |
transcript.pyannote[73].end |
207.49221875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
207.91409375 |
transcript.pyannote[74].end |
209.73659375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
210.34409375 |
transcript.pyannote[75].end |
212.62221875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
212.94284375 |
transcript.pyannote[76].end |
214.88346875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
215.99721875 |
transcript.pyannote[77].end |
217.33034375 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
217.58346875 |
transcript.pyannote[78].end |
218.56221875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
218.64659375 |
transcript.pyannote[79].end |
220.23284375 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
221.24534375 |
transcript.pyannote[80].end |
224.87346875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
225.43034375 |
transcript.pyannote[81].end |
229.93596875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
230.34096875 |
transcript.pyannote[82].end |
232.07909375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
232.70346875 |
transcript.pyannote[83].end |
233.96909375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
234.62721875 |
transcript.pyannote[84].end |
237.54659375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
237.88409375 |
transcript.pyannote[85].end |
243.67221875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
244.06034375 |
transcript.pyannote[86].end |
246.03471875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
246.05159375 |
transcript.pyannote[87].end |
246.55784375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
246.59159375 |
transcript.pyannote[88].end |
247.85721875 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
248.24534375 |
transcript.pyannote[89].end |
249.88221875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
251.38409375 |
transcript.pyannote[90].end |
252.58221875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
253.10534375 |
transcript.pyannote[91].end |
253.66221875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
253.93221875 |
transcript.pyannote[92].end |
254.64096875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
254.94471875 |
transcript.pyannote[93].end |
261.47534375 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
262.48784375 |
transcript.pyannote[94].end |
265.44096875 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
266.01471875 |
transcript.pyannote[95].end |
276.39284375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
276.73034375 |
transcript.pyannote[96].end |
280.88159375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
281.43846875 |
transcript.pyannote[97].end |
282.80534375 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
283.10909375 |
transcript.pyannote[98].end |
285.62346875 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
286.06221875 |
transcript.pyannote[99].end |
287.44596875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
287.69909375 |
transcript.pyannote[100].end |
291.27659375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
291.46221875 |
transcript.pyannote[101].end |
293.68971875 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
294.09471875 |
transcript.pyannote[102].end |
300.18659375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
300.81096875 |
transcript.pyannote[103].end |
309.95721875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
310.27784375 |
transcript.pyannote[104].end |
311.42534375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
311.71221875 |
transcript.pyannote[105].end |
316.30221875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
317.11221875 |
transcript.pyannote[106].end |
317.66909375 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
318.32721875 |
transcript.pyannote[107].end |
319.32284375 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
319.91346875 |
transcript.pyannote[108].end |
320.16659375 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
320.63909375 |
transcript.pyannote[109].end |
323.05221875 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
323.45721875 |
transcript.pyannote[110].end |
326.59596875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
326.96721875 |
transcript.pyannote[111].end |
330.71346875 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
331.40534375 |
transcript.pyannote[112].end |
333.51471875 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
333.73409375 |
transcript.pyannote[113].end |
335.18534375 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
335.55659375 |
transcript.pyannote[114].end |
337.93596875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
338.17221875 |
transcript.pyannote[115].end |
340.72034375 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
340.43346875 |
transcript.pyannote[116].end |
341.15909375 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
341.26034375 |
transcript.pyannote[117].end |
342.03659375 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
342.17159375 |
transcript.pyannote[118].end |
342.45846875 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
342.74534375 |
transcript.pyannote[119].end |
344.04471875 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
345.12471875 |
transcript.pyannote[120].end |
345.69846875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
346.28909375 |
transcript.pyannote[121].end |
366.35346875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
366.60659375 |
transcript.pyannote[122].end |
372.59721875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
372.81659375 |
transcript.pyannote[123].end |
374.95971875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
375.21284375 |
transcript.pyannote[124].end |
387.32909375 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
388.61159375 |
transcript.pyannote[125].end |
391.76721875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
392.56034375 |
transcript.pyannote[126].end |
393.43784375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
393.58971875 |
transcript.pyannote[127].end |
394.45034375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
395.34471875 |
transcript.pyannote[128].end |
397.25159375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
398.06159375 |
transcript.pyannote[129].end |
398.61846875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
398.95596875 |
transcript.pyannote[130].end |
399.59721875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
400.35659375 |
transcript.pyannote[131].end |
400.76159375 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
402.34784375 |
transcript.pyannote[132].end |
404.42346875 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
404.67659375 |
transcript.pyannote[133].end |
405.85784375 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
406.61721875 |
transcript.pyannote[134].end |
408.47346875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
408.92909375 |
transcript.pyannote[135].end |
410.00909375 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
411.20721875 |
transcript.pyannote[136].end |
412.27034375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
412.57409375 |
transcript.pyannote[137].end |
415.39221875 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
415.86471875 |
transcript.pyannote[138].end |
417.28221875 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
417.97409375 |
transcript.pyannote[139].end |
423.61034375 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
424.03221875 |
transcript.pyannote[140].end |
425.97284375 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
426.39471875 |
transcript.pyannote[141].end |
431.32221875 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
431.84534375 |
transcript.pyannote[142].end |
436.41846875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
436.46909375 |
transcript.pyannote[143].end |
442.37534375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
443.08409375 |
transcript.pyannote[144].end |
446.74596875 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
447.38721875 |
transcript.pyannote[145].end |
451.77471875 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
453.05721875 |
transcript.pyannote[146].end |
458.45721875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
459.28409375 |
transcript.pyannote[147].end |
459.75659375 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
460.90409375 |
transcript.pyannote[148].end |
473.30721875 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
473.99909375 |
transcript.pyannote[149].end |
484.10721875 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
484.59659375 |
transcript.pyannote[150].end |
485.25471875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
485.71034375 |
transcript.pyannote[151].end |
487.68471875 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
488.71409375 |
transcript.pyannote[152].end |
489.69284375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
490.35096875 |
transcript.pyannote[153].end |
491.68409375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
491.97096875 |
transcript.pyannote[154].end |
495.56534375 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
496.15596875 |
transcript.pyannote[155].end |
496.81409375 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
497.06721875 |
transcript.pyannote[156].end |
498.85596875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
499.58159375 |
transcript.pyannote[157].end |
499.98659375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
500.81346875 |
transcript.pyannote[158].end |
500.99909375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
501.26909375 |
transcript.pyannote[159].end |
502.53471875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
503.05784375 |
transcript.pyannote[160].end |
508.23846875 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
508.89659375 |
transcript.pyannote[161].end |
509.36909375 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
509.65596875 |
transcript.pyannote[162].end |
511.57971875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
512.57534375 |
transcript.pyannote[163].end |
514.61721875 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
515.12346875 |
transcript.pyannote[164].end |
517.03034375 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
517.36784375 |
transcript.pyannote[165].end |
519.81471875 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
520.35471875 |
transcript.pyannote[166].end |
523.83096875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
524.38784375 |
transcript.pyannote[167].end |
526.00784375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
526.66596875 |
transcript.pyannote[168].end |
527.99909375 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
528.47159375 |
transcript.pyannote[169].end |
532.42034375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
533.70284375 |
transcript.pyannote[170].end |
537.75284375 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
538.68096875 |
transcript.pyannote[171].end |
540.31784375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
540.80721875 |
transcript.pyannote[172].end |
542.39346875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
542.84909375 |
transcript.pyannote[173].end |
543.89534375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
543.92909375 |
transcript.pyannote[174].end |
543.99659375 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
544.04721875 |
transcript.pyannote[175].end |
546.25784375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
546.78096875 |
transcript.pyannote[176].end |
547.35471875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
547.70909375 |
transcript.pyannote[177].end |
550.37534375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
551.06721875 |
transcript.pyannote[178].end |
551.59034375 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
552.31596875 |
transcript.pyannote[179].end |
553.05846875 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
553.80096875 |
transcript.pyannote[180].end |
558.01971875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
558.22221875 |
transcript.pyannote[181].end |
558.72846875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
559.69034375 |
transcript.pyannote[182].end |
560.06159375 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
560.33159375 |
transcript.pyannote[183].end |
561.19221875 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
561.86721875 |
transcript.pyannote[184].end |
562.27221875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
563.13284375 |
transcript.pyannote[185].end |
568.87034375 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
569.29221875 |
transcript.pyannote[186].end |
577.67909375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
577.93221875 |
transcript.pyannote[187].end |
585.67784375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
586.84221875 |
transcript.pyannote[188].end |
591.07784375 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
591.44909375 |
transcript.pyannote[189].end |
595.12784375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
595.88721875 |
transcript.pyannote[190].end |
600.76409375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
601.33784375 |
transcript.pyannote[191].end |
601.69221875 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
602.48534375 |
transcript.pyannote[192].end |
606.34971875 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
606.77159375 |
transcript.pyannote[193].end |
609.74159375 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
610.33221875 |
transcript.pyannote[194].end |
616.03596875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
616.49159375 |
transcript.pyannote[195].end |
620.44034375 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
620.82846875 |
transcript.pyannote[196].end |
622.95471875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
623.44409375 |
transcript.pyannote[197].end |
624.18659375 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
625.13159375 |
transcript.pyannote[198].end |
625.67159375 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
626.07659375 |
transcript.pyannote[199].end |
626.63346875 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
626.83596875 |
transcript.pyannote[200].end |
627.91596875 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
628.32096875 |
transcript.pyannote[201].end |
630.09284375 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
630.29534375 |
transcript.pyannote[202].end |
634.19346875 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
634.71659375 |
transcript.pyannote[203].end |
646.34346875 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
647.30534375 |
transcript.pyannote[204].end |
648.13221875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
648.82409375 |
transcript.pyannote[205].end |
649.16159375 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
650.07284375 |
transcript.pyannote[206].end |
650.98409375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
651.97971875 |
transcript.pyannote[207].end |
652.60409375 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
652.87409375 |
transcript.pyannote[208].end |
654.27471875 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
655.13534375 |
transcript.pyannote[209].end |
655.89471875 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
655.99596875 |
transcript.pyannote[210].end |
656.62034375 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
656.97471875 |
transcript.pyannote[211].end |
657.81846875 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
658.62846875 |
transcript.pyannote[212].end |
659.28659375 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
659.62409375 |
transcript.pyannote[213].end |
662.76284375 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
663.35346875 |
transcript.pyannote[214].end |
664.41659375 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
664.95659375 |
transcript.pyannote[215].end |
666.93096875 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
667.42034375 |
transcript.pyannote[216].end |
667.67346875 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
668.66909375 |
transcript.pyannote[217].end |
669.76596875 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
669.76596875 |
transcript.pyannote[218].end |
669.78284375 |
transcript.pyannote[219].speaker |
SPEAKER_04 |
transcript.pyannote[219].start |
670.08659375 |
transcript.pyannote[219].end |
670.10346875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
670.10346875 |
transcript.pyannote[220].end |
670.96409375 |
transcript.pyannote[221].speaker |
SPEAKER_04 |
transcript.pyannote[221].start |
670.96409375 |
transcript.pyannote[221].end |
671.74034375 |
transcript.pyannote[222].speaker |
SPEAKER_04 |
transcript.pyannote[222].start |
671.97659375 |
transcript.pyannote[222].end |
684.61596875 |
transcript.pyannote[223].speaker |
SPEAKER_04 |
transcript.pyannote[223].start |
684.75096875 |
transcript.pyannote[223].end |
687.40034375 |
transcript.pyannote[224].speaker |
SPEAKER_04 |
transcript.pyannote[224].start |
687.67034375 |
transcript.pyannote[224].end |
689.72909375 |
transcript.pyannote[225].speaker |
SPEAKER_04 |
transcript.pyannote[225].start |
690.04971875 |
transcript.pyannote[225].end |
691.83846875 |
transcript.pyannote[226].speaker |
SPEAKER_04 |
transcript.pyannote[226].start |
692.00721875 |
transcript.pyannote[226].end |
698.03159375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
698.03159375 |
transcript.pyannote[227].end |
705.74346875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
705.92909375 |
transcript.pyannote[228].end |
707.56596875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
707.58284375 |
transcript.pyannote[229].end |
710.13096875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
710.53596875 |
transcript.pyannote[230].end |
714.77159375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
715.00784375 |
transcript.pyannote[231].end |
717.45471875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
717.79221875 |
transcript.pyannote[232].end |
722.12909375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
722.33159375 |
transcript.pyannote[233].end |
724.76159375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
724.84596875 |
transcript.pyannote[234].end |
732.25409375 |
transcript.pyannote[235].speaker |
SPEAKER_03 |
transcript.pyannote[235].start |
733.16534375 |
transcript.pyannote[235].end |
733.28346875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
733.28346875 |
transcript.pyannote[236].end |
733.43534375 |
transcript.pyannote[237].speaker |
SPEAKER_03 |
transcript.pyannote[237].start |
733.43534375 |
transcript.pyannote[237].end |
734.98784375 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
735.81471875 |
transcript.pyannote[238].end |
737.41784375 |
transcript.pyannote[239].speaker |
SPEAKER_03 |
transcript.pyannote[239].start |
737.80596875 |
transcript.pyannote[239].end |
738.21096875 |
transcript.pyannote[240].speaker |
SPEAKER_03 |
transcript.pyannote[240].start |
739.15596875 |
transcript.pyannote[240].end |
743.71221875 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
744.03284375 |
transcript.pyannote[241].end |
746.19284375 |
transcript.pyannote[242].speaker |
SPEAKER_03 |
transcript.pyannote[242].start |
746.76659375 |
transcript.pyannote[242].end |
747.74534375 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
748.25159375 |
transcript.pyannote[243].end |
750.69846875 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
751.13721875 |
transcript.pyannote[244].end |
759.69284375 |
transcript.pyannote[245].speaker |
SPEAKER_03 |
transcript.pyannote[245].start |
760.09784375 |
transcript.pyannote[245].end |
761.46471875 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
762.19034375 |
transcript.pyannote[246].end |
772.33221875 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
773.31096875 |
transcript.pyannote[247].end |
784.93784375 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
785.44409375 |
transcript.pyannote[248].end |
787.16534375 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
787.73909375 |
transcript.pyannote[249].end |
791.68784375 |
transcript.pyannote[250].speaker |
SPEAKER_03 |
transcript.pyannote[250].start |
791.78909375 |
transcript.pyannote[250].end |
792.34596875 |
transcript.pyannote[251].speaker |
SPEAKER_03 |
transcript.pyannote[251].start |
793.15596875 |
transcript.pyannote[251].end |
795.40034375 |
transcript.pyannote[252].speaker |
SPEAKER_03 |
transcript.pyannote[252].start |
796.14284375 |
transcript.pyannote[252].end |
798.69096875 |
transcript.pyannote[253].speaker |
SPEAKER_03 |
transcript.pyannote[253].start |
799.09596875 |
transcript.pyannote[253].end |
800.47971875 |
transcript.pyannote[254].speaker |
SPEAKER_03 |
transcript.pyannote[254].start |
800.76659375 |
transcript.pyannote[254].end |
806.09909375 |
transcript.pyannote[255].speaker |
SPEAKER_03 |
transcript.pyannote[255].start |
806.67284375 |
transcript.pyannote[255].end |
821.38784375 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
822.04596875 |
transcript.pyannote[256].end |
822.68721875 |
transcript.pyannote[257].speaker |
SPEAKER_04 |
transcript.pyannote[257].start |
822.55221875 |
transcript.pyannote[257].end |
829.77471875 |
transcript.pyannote[258].speaker |
SPEAKER_04 |
transcript.pyannote[258].start |
830.01096875 |
transcript.pyannote[258].end |
831.10784375 |
transcript.pyannote[259].speaker |
SPEAKER_04 |
transcript.pyannote[259].start |
831.12471875 |
transcript.pyannote[259].end |
834.58409375 |
transcript.pyannote[260].speaker |
SPEAKER_03 |
transcript.pyannote[260].start |
834.80346875 |
transcript.pyannote[260].end |
834.83721875 |
transcript.pyannote[261].speaker |
SPEAKER_04 |
transcript.pyannote[261].start |
834.83721875 |
transcript.pyannote[261].end |
834.92159375 |
transcript.pyannote[262].speaker |
SPEAKER_03 |
transcript.pyannote[262].start |
834.92159375 |
transcript.pyannote[262].end |
837.58784375 |
transcript.pyannote[263].speaker |
SPEAKER_03 |
transcript.pyannote[263].start |
837.89159375 |
transcript.pyannote[263].end |
841.04721875 |
transcript.pyannote[264].speaker |
SPEAKER_03 |
transcript.pyannote[264].start |
841.33409375 |
transcript.pyannote[264].end |
844.79346875 |
transcript.pyannote[265].speaker |
SPEAKER_03 |
transcript.pyannote[265].start |
845.13096875 |
transcript.pyannote[265].end |
845.94096875 |
transcript.pyannote[266].speaker |
SPEAKER_03 |
transcript.pyannote[266].start |
845.95784375 |
transcript.pyannote[266].end |
846.02534375 |
transcript.pyannote[267].speaker |
SPEAKER_03 |
transcript.pyannote[267].start |
846.07596875 |
transcript.pyannote[267].end |
846.37971875 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
846.54846875 |
transcript.pyannote[268].end |
847.59471875 |
transcript.pyannote[269].speaker |
SPEAKER_03 |
transcript.pyannote[269].start |
847.99971875 |
transcript.pyannote[269].end |
849.56909375 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
850.10909375 |
transcript.pyannote[270].end |
850.96971875 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
851.39159375 |
transcript.pyannote[271].end |
852.96096875 |
transcript.pyannote[272].speaker |
SPEAKER_04 |
transcript.pyannote[272].start |
852.96096875 |
transcript.pyannote[272].end |
853.04534375 |
transcript.pyannote[273].speaker |
SPEAKER_04 |
transcript.pyannote[273].start |
853.09596875 |
transcript.pyannote[273].end |
861.02721875 |
transcript.pyannote[274].speaker |
SPEAKER_03 |
transcript.pyannote[274].start |
854.42909375 |
transcript.pyannote[274].end |
854.96909375 |
transcript.pyannote[275].speaker |
SPEAKER_03 |
transcript.pyannote[275].start |
861.02721875 |
transcript.pyannote[275].end |
861.17909375 |
transcript.pyannote[276].speaker |
SPEAKER_04 |
transcript.pyannote[276].start |
861.17909375 |
transcript.pyannote[276].end |
861.33096875 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
861.33096875 |
transcript.pyannote[277].end |
868.13159375 |
transcript.pyannote[278].speaker |
SPEAKER_03 |
transcript.pyannote[278].start |
869.71784375 |
transcript.pyannote[278].end |
871.20284375 |
transcript.pyannote[279].speaker |
SPEAKER_03 |
transcript.pyannote[279].start |
872.08034375 |
transcript.pyannote[279].end |
873.98721875 |
transcript.pyannote[280].speaker |
SPEAKER_04 |
transcript.pyannote[280].start |
874.49346875 |
transcript.pyannote[280].end |
874.78034375 |
transcript.pyannote[281].speaker |
SPEAKER_03 |
transcript.pyannote[281].start |
875.16846875 |
transcript.pyannote[281].end |
876.16409375 |
transcript.pyannote[282].speaker |
SPEAKER_03 |
transcript.pyannote[282].start |
876.94034375 |
transcript.pyannote[282].end |
884.39909375 |
transcript.pyannote[283].speaker |
SPEAKER_03 |
transcript.pyannote[283].start |
884.77034375 |
transcript.pyannote[283].end |
894.08534375 |
transcript.pyannote[284].speaker |
SPEAKER_03 |
transcript.pyannote[284].start |
894.69284375 |
transcript.pyannote[284].end |
900.93659375 |
transcript.pyannote[285].speaker |
SPEAKER_03 |
transcript.pyannote[285].start |
901.20659375 |
transcript.pyannote[285].end |
904.66596875 |
transcript.pyannote[286].speaker |
SPEAKER_03 |
transcript.pyannote[286].start |
905.45909375 |
transcript.pyannote[286].end |
915.29721875 |
transcript.pyannote[287].speaker |
SPEAKER_03 |
transcript.pyannote[287].start |
916.29284375 |
transcript.pyannote[287].end |
921.38909375 |
transcript.pyannote[288].speaker |
SPEAKER_03 |
transcript.pyannote[288].start |
921.91221875 |
transcript.pyannote[288].end |
922.85721875 |
transcript.pyannote[289].speaker |
SPEAKER_03 |
transcript.pyannote[289].start |
923.53221875 |
transcript.pyannote[289].end |
926.65409375 |
transcript.pyannote[290].speaker |
SPEAKER_03 |
transcript.pyannote[290].start |
927.02534375 |
transcript.pyannote[290].end |
933.82596875 |
transcript.pyannote[291].speaker |
SPEAKER_03 |
transcript.pyannote[291].start |
934.07909375 |
transcript.pyannote[291].end |
936.79596875 |
transcript.pyannote[292].speaker |
SPEAKER_03 |
transcript.pyannote[292].start |
937.35284375 |
transcript.pyannote[292].end |
942.21284375 |
transcript.pyannote[293].speaker |
SPEAKER_03 |
transcript.pyannote[293].start |
942.75284375 |
transcript.pyannote[293].end |
948.82784375 |
transcript.pyannote[294].speaker |
SPEAKER_03 |
transcript.pyannote[294].start |
949.38471875 |
transcript.pyannote[294].end |
949.92471875 |
transcript.pyannote[295].speaker |
SPEAKER_03 |
transcript.pyannote[295].start |
950.34659375 |
transcript.pyannote[295].end |
951.02159375 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
951.64596875 |
transcript.pyannote[296].end |
953.99159375 |
transcript.pyannote[297].speaker |
SPEAKER_03 |
transcript.pyannote[297].start |
954.80159375 |
transcript.pyannote[297].end |
957.75471875 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
958.34534375 |
transcript.pyannote[298].end |
960.96096875 |
transcript.pyannote[299].speaker |
SPEAKER_03 |
transcript.pyannote[299].start |
961.19721875 |
transcript.pyannote[299].end |
966.05721875 |
transcript.pyannote[300].speaker |
SPEAKER_03 |
transcript.pyannote[300].start |
966.29346875 |
transcript.pyannote[300].end |
972.03096875 |
transcript.pyannote[301].speaker |
SPEAKER_03 |
transcript.pyannote[301].start |
972.13221875 |
transcript.pyannote[301].end |
990.79596875 |
transcript.pyannote[302].speaker |
SPEAKER_03 |
transcript.pyannote[302].start |
991.33596875 |
transcript.pyannote[302].end |
994.52534375 |
transcript.pyannote[303].speaker |
SPEAKER_03 |
transcript.pyannote[303].start |
994.77846875 |
transcript.pyannote[303].end |
998.22096875 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
998.96346875 |
transcript.pyannote[304].end |
1005.52784375 |
transcript.pyannote[305].speaker |
SPEAKER_03 |
transcript.pyannote[305].start |
1006.06784375 |
transcript.pyannote[305].end |
1007.75534375 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
1008.32909375 |
transcript.pyannote[306].end |
1029.33846875 |
transcript.pyannote[307].speaker |
SPEAKER_03 |
transcript.pyannote[307].start |
1029.70971875 |
transcript.pyannote[307].end |
1030.21596875 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
1031.24534375 |
transcript.pyannote[308].end |
1032.69659375 |
transcript.pyannote[309].speaker |
SPEAKER_03 |
transcript.pyannote[309].start |
1032.89909375 |
transcript.pyannote[309].end |
1042.26471875 |
transcript.pyannote[310].speaker |
SPEAKER_04 |
transcript.pyannote[310].start |
1040.47596875 |
transcript.pyannote[310].end |
1040.98221875 |
transcript.pyannote[311].speaker |
SPEAKER_04 |
transcript.pyannote[311].start |
1042.70346875 |
transcript.pyannote[311].end |
1047.93471875 |
transcript.pyannote[312].speaker |
SPEAKER_04 |
transcript.pyannote[312].start |
1048.39034375 |
transcript.pyannote[312].end |
1049.99346875 |
transcript.pyannote[313].speaker |
SPEAKER_04 |
transcript.pyannote[313].start |
1050.21284375 |
transcript.pyannote[313].end |
1054.24596875 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
1050.31409375 |
transcript.pyannote[314].end |
1050.34784375 |
transcript.pyannote[315].speaker |
SPEAKER_03 |
transcript.pyannote[315].start |
1050.34784375 |
transcript.pyannote[315].end |
1050.56721875 |
transcript.pyannote[316].speaker |
SPEAKER_00 |
transcript.pyannote[316].start |
1050.56721875 |
transcript.pyannote[316].end |
1050.73596875 |
transcript.pyannote[317].speaker |
SPEAKER_04 |
transcript.pyannote[317].start |
1054.80284375 |
transcript.pyannote[317].end |
1056.91221875 |
transcript.pyannote[318].speaker |
SPEAKER_04 |
transcript.pyannote[318].start |
1057.43534375 |
transcript.pyannote[318].end |
1057.89096875 |
transcript.pyannote[319].speaker |
SPEAKER_04 |
transcript.pyannote[319].start |
1058.43096875 |
transcript.pyannote[319].end |
1058.90346875 |
transcript.pyannote[320].speaker |
SPEAKER_04 |
transcript.pyannote[320].start |
1059.07221875 |
transcript.pyannote[320].end |
1060.40534375 |
transcript.pyannote[321].speaker |
SPEAKER_04 |
transcript.pyannote[321].start |
1060.67534375 |
transcript.pyannote[321].end |
1063.59471875 |
transcript.pyannote[322].speaker |
SPEAKER_04 |
transcript.pyannote[322].start |
1063.94909375 |
transcript.pyannote[322].end |
1066.49721875 |
transcript.pyannote[323].speaker |
SPEAKER_04 |
transcript.pyannote[323].start |
1066.59846875 |
transcript.pyannote[323].end |
1071.69471875 |
transcript.pyannote[324].speaker |
SPEAKER_04 |
transcript.pyannote[324].start |
1071.98159375 |
transcript.pyannote[324].end |
1077.75284375 |
transcript.pyannote[325].speaker |
SPEAKER_04 |
transcript.pyannote[325].start |
1078.09034375 |
transcript.pyannote[325].end |
1087.37159375 |
transcript.pyannote[326].speaker |
SPEAKER_00 |
transcript.pyannote[326].start |
1084.01346875 |
transcript.pyannote[326].end |
1085.27909375 |
transcript.pyannote[327].speaker |
SPEAKER_04 |
transcript.pyannote[327].start |
1087.69221875 |
transcript.pyannote[327].end |
1093.00784375 |
transcript.pyannote[328].speaker |
SPEAKER_04 |
transcript.pyannote[328].start |
1093.44659375 |
transcript.pyannote[328].end |
1093.46346875 |
transcript.pyannote[329].speaker |
SPEAKER_03 |
transcript.pyannote[329].start |
1093.46346875 |
transcript.pyannote[329].end |
1094.74596875 |
transcript.pyannote[330].speaker |
SPEAKER_03 |
transcript.pyannote[330].start |
1095.45471875 |
transcript.pyannote[330].end |
1115.82284375 |
transcript.pyannote[331].speaker |
SPEAKER_03 |
transcript.pyannote[331].start |
1116.32909375 |
transcript.pyannote[331].end |
1118.40471875 |
transcript.pyannote[332].speaker |
SPEAKER_03 |
transcript.pyannote[332].start |
1119.09659375 |
transcript.pyannote[332].end |
1122.03284375 |
transcript.pyannote[333].speaker |
SPEAKER_03 |
transcript.pyannote[333].start |
1122.37034375 |
transcript.pyannote[333].end |
1126.53846875 |
transcript.pyannote[334].speaker |
SPEAKER_03 |
transcript.pyannote[334].start |
1127.17971875 |
transcript.pyannote[334].end |
1138.82346875 |
transcript.pyannote[335].speaker |
SPEAKER_03 |
transcript.pyannote[335].start |
1139.56596875 |
transcript.pyannote[335].end |
1140.84846875 |
transcript.pyannote[336].speaker |
SPEAKER_03 |
transcript.pyannote[336].start |
1140.93284375 |
transcript.pyannote[336].end |
1143.95346875 |
transcript.pyannote[337].speaker |
SPEAKER_03 |
transcript.pyannote[337].start |
1144.96596875 |
transcript.pyannote[337].end |
1149.31971875 |
transcript.pyannote[338].speaker |
SPEAKER_03 |
transcript.pyannote[338].start |
1149.69096875 |
transcript.pyannote[338].end |
1152.10409375 |
transcript.pyannote[339].speaker |
SPEAKER_03 |
transcript.pyannote[339].start |
1152.81284375 |
transcript.pyannote[339].end |
1155.83346875 |
transcript.pyannote[340].speaker |
SPEAKER_03 |
transcript.pyannote[340].start |
1156.06971875 |
transcript.pyannote[340].end |
1158.93846875 |
transcript.pyannote[341].speaker |
SPEAKER_03 |
transcript.pyannote[341].start |
1159.78221875 |
transcript.pyannote[341].end |
1160.35596875 |
transcript.pyannote[342].speaker |
SPEAKER_03 |
transcript.pyannote[342].start |
1161.04784375 |
transcript.pyannote[342].end |
1162.07721875 |
transcript.pyannote[343].speaker |
SPEAKER_03 |
transcript.pyannote[343].start |
1162.87034375 |
transcript.pyannote[343].end |
1165.36784375 |
transcript.pyannote[344].speaker |
SPEAKER_03 |
transcript.pyannote[344].start |
1166.32971875 |
transcript.pyannote[344].end |
1171.96596875 |
transcript.pyannote[345].speaker |
SPEAKER_03 |
transcript.pyannote[345].start |
1172.53971875 |
transcript.pyannote[345].end |
1185.33096875 |
transcript.pyannote[346].speaker |
SPEAKER_03 |
transcript.pyannote[346].start |
1185.83721875 |
transcript.pyannote[346].end |
1186.30971875 |
transcript.pyannote[347].speaker |
SPEAKER_03 |
transcript.pyannote[347].start |
1186.44471875 |
transcript.pyannote[347].end |
1211.58846875 |
transcript.pyannote[348].speaker |
SPEAKER_03 |
transcript.pyannote[348].start |
1211.94284375 |
transcript.pyannote[348].end |
1212.97221875 |
transcript.pyannote[349].speaker |
SPEAKER_03 |
transcript.pyannote[349].start |
1213.27596875 |
transcript.pyannote[349].end |
1215.82409375 |
transcript.pyannote[350].speaker |
SPEAKER_04 |
transcript.pyannote[350].start |
1215.31784375 |
transcript.pyannote[350].end |
1215.72284375 |
transcript.pyannote[351].speaker |
SPEAKER_05 |
transcript.pyannote[351].start |
1215.72284375 |
transcript.pyannote[351].end |
1217.00534375 |
transcript.pyannote[352].speaker |
SPEAKER_03 |
transcript.pyannote[352].start |
1217.00534375 |
transcript.pyannote[352].end |
1217.44409375 |
transcript.pyannote[353].speaker |
SPEAKER_04 |
transcript.pyannote[353].start |
1217.00534375 |
transcript.pyannote[353].end |
1217.51159375 |
transcript.pyannote[354].speaker |
SPEAKER_04 |
transcript.pyannote[354].start |
1218.00096875 |
transcript.pyannote[354].end |
1221.94971875 |
transcript.pyannote[355].speaker |
SPEAKER_03 |
transcript.pyannote[355].start |
1221.94971875 |
transcript.pyannote[355].end |
1222.69221875 |
transcript.pyannote[356].speaker |
SPEAKER_04 |
transcript.pyannote[356].start |
1223.16471875 |
transcript.pyannote[356].end |
1223.18159375 |
transcript.pyannote[357].speaker |
SPEAKER_05 |
transcript.pyannote[357].start |
1223.18159375 |
transcript.pyannote[357].end |
1240.32659375 |
transcript.pyannote[358].speaker |
SPEAKER_03 |
transcript.pyannote[358].start |
1226.45534375 |
transcript.pyannote[358].end |
1226.82659375 |
transcript.pyannote[359].speaker |
SPEAKER_02 |
transcript.pyannote[359].start |
1226.82659375 |
transcript.pyannote[359].end |
1226.84346875 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
1240.96784375 |
transcript.pyannote[360].end |
1242.89159375 |
transcript.pyannote[361].speaker |
SPEAKER_03 |
transcript.pyannote[361].start |
1243.53284375 |
transcript.pyannote[361].end |
1245.84471875 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
1246.72221875 |
transcript.pyannote[362].end |
1257.21846875 |
transcript.pyannote[363].speaker |
SPEAKER_03 |
transcript.pyannote[363].start |
1257.52221875 |
transcript.pyannote[363].end |
1261.58909375 |
transcript.pyannote[364].speaker |
SPEAKER_03 |
transcript.pyannote[364].start |
1261.65659375 |
transcript.pyannote[364].end |
1267.91721875 |
transcript.pyannote[365].speaker |
SPEAKER_04 |
transcript.pyannote[365].start |
1262.63534375 |
transcript.pyannote[365].end |
1264.76159375 |
transcript.pyannote[366].speaker |
SPEAKER_04 |
transcript.pyannote[366].start |
1265.90909375 |
transcript.pyannote[366].end |
1275.22409375 |
transcript.pyannote[367].speaker |
SPEAKER_03 |
transcript.pyannote[367].start |
1274.09346875 |
transcript.pyannote[367].end |
1274.49846875 |
transcript.pyannote[368].speaker |
SPEAKER_03 |
transcript.pyannote[368].start |
1274.56596875 |
transcript.pyannote[368].end |
1281.73784375 |
transcript.pyannote[369].speaker |
SPEAKER_03 |
transcript.pyannote[369].start |
1282.95284375 |
transcript.pyannote[369].end |
1284.37034375 |
transcript.pyannote[370].speaker |
SPEAKER_03 |
transcript.pyannote[370].start |
1285.28159375 |
transcript.pyannote[370].end |
1286.58096875 |
transcript.pyannote[371].speaker |
SPEAKER_03 |
transcript.pyannote[371].start |
1287.13784375 |
transcript.pyannote[371].end |
1287.42471875 |
transcript.pyannote[372].speaker |
SPEAKER_03 |
transcript.pyannote[372].start |
1288.58909375 |
transcript.pyannote[372].end |
1290.86721875 |
transcript.pyannote[373].speaker |
SPEAKER_03 |
transcript.pyannote[373].start |
1290.93471875 |
transcript.pyannote[373].end |
1291.87971875 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
1292.68971875 |
transcript.pyannote[374].end |
1293.21284375 |
transcript.pyannote[375].speaker |
SPEAKER_03 |
transcript.pyannote[375].start |
1293.56721875 |
transcript.pyannote[375].end |
1296.38534375 |
transcript.pyannote[376].speaker |
SPEAKER_03 |
transcript.pyannote[376].start |
1296.84096875 |
transcript.pyannote[376].end |
1298.74784375 |
transcript.pyannote[377].speaker |
SPEAKER_03 |
transcript.pyannote[377].start |
1299.08534375 |
transcript.pyannote[377].end |
1301.27909375 |
transcript.pyannote[378].speaker |
SPEAKER_03 |
transcript.pyannote[378].start |
1301.78534375 |
transcript.pyannote[378].end |
1302.44346875 |
transcript.pyannote[379].speaker |
SPEAKER_03 |
transcript.pyannote[379].start |
1303.20284375 |
transcript.pyannote[379].end |
1312.55159375 |
transcript.pyannote[380].speaker |
SPEAKER_03 |
transcript.pyannote[380].start |
1312.70346875 |
transcript.pyannote[380].end |
1319.95971875 |
transcript.pyannote[381].speaker |
SPEAKER_03 |
transcript.pyannote[381].start |
1320.73596875 |
transcript.pyannote[381].end |
1329.74721875 |
transcript.pyannote[382].speaker |
SPEAKER_03 |
transcript.pyannote[382].start |
1330.50659375 |
transcript.pyannote[382].end |
1339.50096875 |
transcript.pyannote[383].speaker |
SPEAKER_03 |
transcript.pyannote[383].start |
1340.00721875 |
transcript.pyannote[383].end |
1354.40159375 |
transcript.pyannote[384].speaker |
SPEAKER_03 |
transcript.pyannote[384].start |
1354.78971875 |
transcript.pyannote[384].end |
1365.38721875 |
transcript.pyannote[385].speaker |
SPEAKER_03 |
transcript.pyannote[385].start |
1365.89346875 |
transcript.pyannote[385].end |
1368.01971875 |
transcript.pyannote[386].speaker |
SPEAKER_03 |
transcript.pyannote[386].start |
1368.28971875 |
transcript.pyannote[386].end |
1372.18784375 |
transcript.pyannote[387].speaker |
SPEAKER_03 |
transcript.pyannote[387].start |
1372.64346875 |
transcript.pyannote[387].end |
1379.66346875 |
transcript.pyannote[388].speaker |
SPEAKER_03 |
transcript.pyannote[388].start |
1380.16971875 |
transcript.pyannote[388].end |
1381.46909375 |
transcript.pyannote[389].speaker |
SPEAKER_03 |
transcript.pyannote[389].start |
1381.85721875 |
transcript.pyannote[389].end |
1386.17721875 |
transcript.pyannote[390].speaker |
SPEAKER_03 |
transcript.pyannote[390].start |
1386.70034375 |
transcript.pyannote[390].end |
1398.22596875 |
transcript.pyannote[391].speaker |
SPEAKER_03 |
transcript.pyannote[391].start |
1399.35659375 |
transcript.pyannote[391].end |
1401.09471875 |
transcript.pyannote[392].speaker |
SPEAKER_03 |
transcript.pyannote[392].start |
1401.53346875 |
transcript.pyannote[392].end |
1402.44471875 |
transcript.pyannote[393].speaker |
SPEAKER_03 |
transcript.pyannote[393].start |
1403.05221875 |
transcript.pyannote[393].end |
1403.71034375 |
transcript.pyannote[394].speaker |
SPEAKER_03 |
transcript.pyannote[394].start |
1405.70159375 |
transcript.pyannote[394].end |
1422.71159375 |
transcript.pyannote[395].speaker |
SPEAKER_04 |
transcript.pyannote[395].start |
1417.75034375 |
transcript.pyannote[395].end |
1418.72909375 |
transcript.pyannote[396].speaker |
SPEAKER_03 |
transcript.pyannote[396].start |
1423.03221875 |
transcript.pyannote[396].end |
1423.15034375 |
transcript.pyannote[397].speaker |
SPEAKER_04 |
transcript.pyannote[397].start |
1423.15034375 |
transcript.pyannote[397].end |
1423.36971875 |
transcript.pyannote[398].speaker |
SPEAKER_03 |
transcript.pyannote[398].start |
1423.36971875 |
transcript.pyannote[398].end |
1423.79159375 |
transcript.pyannote[399].speaker |
SPEAKER_04 |
transcript.pyannote[399].start |
1424.33159375 |
transcript.pyannote[399].end |
1427.33534375 |
transcript.pyannote[400].speaker |
SPEAKER_04 |
transcript.pyannote[400].start |
1427.82471875 |
transcript.pyannote[400].end |
1430.49096875 |
transcript.pyannote[401].speaker |
SPEAKER_04 |
transcript.pyannote[401].start |
1430.65971875 |
transcript.pyannote[401].end |
1433.10659375 |
transcript.pyannote[402].speaker |
SPEAKER_04 |
transcript.pyannote[402].start |
1433.37659375 |
transcript.pyannote[402].end |
1436.51534375 |
transcript.pyannote[403].speaker |
SPEAKER_04 |
transcript.pyannote[403].start |
1436.86971875 |
transcript.pyannote[403].end |
1441.59471875 |
transcript.pyannote[404].speaker |
SPEAKER_04 |
transcript.pyannote[404].start |
1441.79721875 |
transcript.pyannote[404].end |
1444.39596875 |
transcript.pyannote[405].speaker |
SPEAKER_04 |
transcript.pyannote[405].start |
1444.88534375 |
transcript.pyannote[405].end |
1446.33659375 |
transcript.pyannote[406].speaker |
SPEAKER_04 |
transcript.pyannote[406].start |
1446.47159375 |
transcript.pyannote[406].end |
1450.40346875 |
transcript.pyannote[407].speaker |
SPEAKER_04 |
transcript.pyannote[407].start |
1450.50471875 |
transcript.pyannote[407].end |
1452.31034375 |
transcript.pyannote[408].speaker |
SPEAKER_04 |
transcript.pyannote[408].start |
1452.49596875 |
transcript.pyannote[408].end |
1454.77409375 |
transcript.pyannote[409].speaker |
SPEAKER_04 |
transcript.pyannote[409].start |
1455.01034375 |
transcript.pyannote[409].end |
1455.02721875 |
transcript.pyannote[410].speaker |
SPEAKER_04 |
transcript.pyannote[410].start |
1455.09471875 |
transcript.pyannote[410].end |
1455.85409375 |
transcript.pyannote[411].speaker |
SPEAKER_04 |
transcript.pyannote[411].start |
1456.02284375 |
transcript.pyannote[411].end |
1461.86159375 |
transcript.pyannote[412].speaker |
SPEAKER_03 |
transcript.pyannote[412].start |
1462.04721875 |
transcript.pyannote[412].end |
1481.62221875 |
transcript.pyannote[413].speaker |
SPEAKER_04 |
transcript.pyannote[413].start |
1468.56096875 |
transcript.pyannote[413].end |
1468.93221875 |
transcript.pyannote[414].speaker |
SPEAKER_03 |
transcript.pyannote[414].start |
1481.72346875 |
transcript.pyannote[414].end |
1495.08846875 |
transcript.pyannote[415].speaker |
SPEAKER_04 |
transcript.pyannote[415].start |
1495.17284375 |
transcript.pyannote[415].end |
1497.02909375 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
1496.82659375 |
transcript.pyannote[416].end |
1497.07971875 |
transcript.pyannote[417].speaker |
SPEAKER_02 |
transcript.pyannote[417].start |
1497.02909375 |
transcript.pyannote[417].end |
1499.50971875 |
transcript.pyannote[418].speaker |
SPEAKER_04 |
transcript.pyannote[418].start |
1497.07971875 |
transcript.pyannote[418].end |
1497.97409375 |
transcript.pyannote[419].speaker |
SPEAKER_02 |
transcript.pyannote[419].start |
1499.94846875 |
transcript.pyannote[419].end |
1514.10659375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
1514.74784375 |
transcript.pyannote[420].end |
1520.65409375 |
transcript.pyannote[421].speaker |
SPEAKER_03 |
transcript.pyannote[421].start |
1521.31221875 |
transcript.pyannote[421].end |
1532.33159375 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
1532.71971875 |
transcript.pyannote[422].end |
1534.37346875 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
1534.91346875 |
transcript.pyannote[423].end |
1539.46971875 |
transcript.pyannote[424].speaker |
SPEAKER_03 |
transcript.pyannote[424].start |
1539.79034375 |
transcript.pyannote[424].end |
1543.85721875 |
transcript.pyannote[425].speaker |
SPEAKER_03 |
transcript.pyannote[425].start |
1544.58284375 |
transcript.pyannote[425].end |
1545.76409375 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
1546.11846875 |
transcript.pyannote[426].end |
1553.89784375 |
transcript.pyannote[427].speaker |
SPEAKER_03 |
transcript.pyannote[427].start |
1554.08346875 |
transcript.pyannote[427].end |
1554.57284375 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
1554.72471875 |
transcript.pyannote[428].end |
1556.81721875 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
1557.79596875 |
transcript.pyannote[429].end |
1561.33971875 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
1561.77846875 |
transcript.pyannote[430].end |
1564.96784375 |
transcript.pyannote[431].speaker |
SPEAKER_03 |
transcript.pyannote[431].start |
1565.17034375 |
transcript.pyannote[431].end |
1565.57534375 |
transcript.pyannote[432].speaker |
SPEAKER_03 |
transcript.pyannote[432].start |
1567.02659375 |
transcript.pyannote[432].end |
1569.49034375 |
transcript.pyannote[433].speaker |
SPEAKER_03 |
transcript.pyannote[433].start |
1569.52409375 |
transcript.pyannote[433].end |
1570.23284375 |
transcript.pyannote[434].speaker |
SPEAKER_03 |
transcript.pyannote[434].start |
1570.26659375 |
transcript.pyannote[434].end |
1571.38034375 |
transcript.pyannote[435].speaker |
SPEAKER_03 |
transcript.pyannote[435].start |
1571.86971875 |
transcript.pyannote[435].end |
1574.02971875 |
transcript.pyannote[436].speaker |
SPEAKER_03 |
transcript.pyannote[436].start |
1574.28284375 |
transcript.pyannote[436].end |
1575.21096875 |
transcript.pyannote[437].speaker |
SPEAKER_03 |
transcript.pyannote[437].start |
1576.13909375 |
transcript.pyannote[437].end |
1576.81409375 |
transcript.pyannote[438].speaker |
SPEAKER_03 |
transcript.pyannote[438].start |
1577.30346875 |
transcript.pyannote[438].end |
1578.33284375 |
transcript.pyannote[439].speaker |
SPEAKER_03 |
transcript.pyannote[439].start |
1578.68721875 |
transcript.pyannote[439].end |
1581.55596875 |
transcript.pyannote[440].speaker |
SPEAKER_03 |
transcript.pyannote[440].start |
1582.09596875 |
transcript.pyannote[440].end |
1587.05721875 |
transcript.pyannote[441].speaker |
SPEAKER_03 |
transcript.pyannote[441].start |
1587.71534375 |
transcript.pyannote[441].end |
1591.02284375 |
transcript.pyannote[442].speaker |
SPEAKER_03 |
transcript.pyannote[442].start |
1591.42784375 |
transcript.pyannote[442].end |
1594.83659375 |
transcript.pyannote[443].speaker |
SPEAKER_03 |
transcript.pyannote[443].start |
1595.12346875 |
transcript.pyannote[443].end |
1598.43096875 |
transcript.pyannote[444].speaker |
SPEAKER_03 |
transcript.pyannote[444].start |
1598.81909375 |
transcript.pyannote[444].end |
1602.44721875 |
transcript.pyannote[445].speaker |
SPEAKER_03 |
transcript.pyannote[445].start |
1603.03784375 |
transcript.pyannote[445].end |
1606.12596875 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
1606.71659375 |
transcript.pyannote[446].end |
1607.34096875 |
transcript.pyannote[447].speaker |
SPEAKER_03 |
transcript.pyannote[447].start |
1608.01596875 |
transcript.pyannote[447].end |
1610.34471875 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
1611.01971875 |
transcript.pyannote[448].end |
1623.20346875 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
1623.97971875 |
transcript.pyannote[449].end |
1630.98284375 |
transcript.pyannote[450].speaker |
SPEAKER_03 |
transcript.pyannote[450].start |
1631.79284375 |
transcript.pyannote[450].end |
1634.74596875 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
1635.26909375 |
transcript.pyannote[451].end |
1637.02409375 |
transcript.pyannote[452].speaker |
SPEAKER_03 |
transcript.pyannote[452].start |
1637.31096875 |
transcript.pyannote[452].end |
1638.44159375 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
1638.64409375 |
transcript.pyannote[453].end |
1639.09971875 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
1639.31909375 |
transcript.pyannote[454].end |
1642.20471875 |
transcript.pyannote[455].speaker |
SPEAKER_03 |
transcript.pyannote[455].start |
1642.59284375 |
transcript.pyannote[455].end |
1657.57784375 |
transcript.pyannote[456].speaker |
SPEAKER_03 |
transcript.pyannote[456].start |
1657.99971875 |
transcript.pyannote[456].end |
1658.87721875 |
transcript.pyannote[457].speaker |
SPEAKER_03 |
transcript.pyannote[457].start |
1659.13034375 |
transcript.pyannote[457].end |
1659.60284375 |
transcript.pyannote[458].speaker |
SPEAKER_03 |
transcript.pyannote[458].start |
1660.04159375 |
transcript.pyannote[458].end |
1663.31534375 |
transcript.pyannote[459].speaker |
SPEAKER_03 |
transcript.pyannote[459].start |
1664.31096875 |
transcript.pyannote[459].end |
1667.38221875 |
transcript.pyannote[460].speaker |
SPEAKER_03 |
transcript.pyannote[460].start |
1667.98971875 |
transcript.pyannote[460].end |
1672.29284375 |
transcript.pyannote[461].speaker |
SPEAKER_03 |
transcript.pyannote[461].start |
1672.95096875 |
transcript.pyannote[461].end |
1674.95909375 |
transcript.pyannote[462].speaker |
SPEAKER_00 |
transcript.pyannote[462].start |
1673.03534375 |
transcript.pyannote[462].end |
1673.81159375 |
transcript.pyannote[463].speaker |
SPEAKER_03 |
transcript.pyannote[463].start |
1675.54971875 |
transcript.pyannote[463].end |
1685.18534375 |
transcript.pyannote[464].speaker |
SPEAKER_03 |
transcript.pyannote[464].start |
1686.18096875 |
transcript.pyannote[464].end |
1691.02409375 |
transcript.pyannote[465].speaker |
SPEAKER_03 |
transcript.pyannote[465].start |
1691.29409375 |
transcript.pyannote[465].end |
1704.00096875 |
transcript.pyannote[466].speaker |
SPEAKER_03 |
transcript.pyannote[466].start |
1704.42284375 |
transcript.pyannote[466].end |
1706.31284375 |
transcript.pyannote[467].speaker |
SPEAKER_03 |
transcript.pyannote[467].start |
1707.00471875 |
transcript.pyannote[467].end |
1708.54034375 |
transcript.pyannote[468].speaker |
SPEAKER_03 |
transcript.pyannote[468].start |
1709.02971875 |
transcript.pyannote[468].end |
1709.68784375 |
transcript.pyannote[469].speaker |
SPEAKER_03 |
transcript.pyannote[469].start |
1709.97471875 |
transcript.pyannote[469].end |
1713.60284375 |
transcript.pyannote[470].speaker |
SPEAKER_00 |
transcript.pyannote[470].start |
1713.60284375 |
transcript.pyannote[470].end |
1713.61971875 |
transcript.pyannote[471].speaker |
SPEAKER_03 |
transcript.pyannote[471].start |
1713.75471875 |
transcript.pyannote[471].end |
1714.34534375 |
transcript.pyannote[472].speaker |
SPEAKER_00 |
transcript.pyannote[472].start |
1714.34534375 |
transcript.pyannote[472].end |
1714.39596875 |
transcript.pyannote[473].speaker |
SPEAKER_04 |
transcript.pyannote[473].start |
1715.05409375 |
transcript.pyannote[473].end |
1715.96534375 |
transcript.pyannote[474].speaker |
SPEAKER_00 |
transcript.pyannote[474].start |
1717.41659375 |
transcript.pyannote[474].end |
1722.07409375 |
transcript.pyannote[475].speaker |
SPEAKER_00 |
transcript.pyannote[475].start |
1722.19221875 |
transcript.pyannote[475].end |
1735.47284375 |
transcript.pyannote[476].speaker |
SPEAKER_00 |
transcript.pyannote[476].start |
1735.55721875 |
transcript.pyannote[476].end |
1737.81846875 |
transcript.pyannote[477].speaker |
SPEAKER_03 |
transcript.pyannote[477].start |
1737.81846875 |
transcript.pyannote[477].end |
1747.65659375 |
transcript.pyannote[478].speaker |
SPEAKER_03 |
transcript.pyannote[478].start |
1747.96034375 |
transcript.pyannote[478].end |
1762.87784375 |
transcript.pyannote[479].speaker |
SPEAKER_03 |
transcript.pyannote[479].start |
1763.51909375 |
transcript.pyannote[479].end |
1766.52284375 |
transcript.pyannote[480].speaker |
SPEAKER_03 |
transcript.pyannote[480].start |
1766.80971875 |
transcript.pyannote[480].end |
1772.59784375 |
transcript.pyannote[481].speaker |
SPEAKER_03 |
transcript.pyannote[481].start |
1773.23909375 |
transcript.pyannote[481].end |
1791.76784375 |
transcript.pyannote[482].speaker |
SPEAKER_00 |
transcript.pyannote[482].start |
1779.28034375 |
transcript.pyannote[482].end |
1779.71909375 |
transcript.pyannote[483].speaker |
SPEAKER_03 |
transcript.pyannote[483].start |
1792.32471875 |
transcript.pyannote[483].end |
1792.99971875 |
transcript.pyannote[484].speaker |
SPEAKER_03 |
transcript.pyannote[484].start |
1793.30346875 |
transcript.pyannote[484].end |
1794.06284375 |
transcript.pyannote[485].speaker |
SPEAKER_03 |
transcript.pyannote[485].start |
1795.17659375 |
transcript.pyannote[485].end |
1795.48034375 |
transcript.pyannote[486].speaker |
SPEAKER_03 |
transcript.pyannote[486].start |
1796.29034375 |
transcript.pyannote[486].end |
1810.70159375 |
transcript.pyannote[487].speaker |
SPEAKER_03 |
transcript.pyannote[487].start |
1810.92096875 |
transcript.pyannote[487].end |
1824.11721875 |
transcript.pyannote[488].speaker |
SPEAKER_03 |
transcript.pyannote[488].start |
1824.31971875 |
transcript.pyannote[488].end |
1827.84659375 |
transcript.pyannote[489].speaker |
SPEAKER_03 |
transcript.pyannote[489].start |
1828.40346875 |
transcript.pyannote[489].end |
1831.35659375 |
transcript.pyannote[490].speaker |
SPEAKER_03 |
transcript.pyannote[490].start |
1831.69409375 |
transcript.pyannote[490].end |
1832.08221875 |
transcript.pyannote[491].speaker |
SPEAKER_03 |
transcript.pyannote[491].start |
1832.84159375 |
transcript.pyannote[491].end |
1839.65909375 |
transcript.pyannote[492].speaker |
SPEAKER_03 |
transcript.pyannote[492].start |
1839.72659375 |
transcript.pyannote[492].end |
1856.97284375 |
transcript.pyannote[493].speaker |
SPEAKER_04 |
transcript.pyannote[493].start |
1856.97284375 |
transcript.pyannote[493].end |
1860.49971875 |
transcript.pyannote[494].speaker |
SPEAKER_04 |
transcript.pyannote[494].start |
1860.61784375 |
transcript.pyannote[494].end |
1862.03534375 |
transcript.pyannote[495].speaker |
SPEAKER_01 |
transcript.pyannote[495].start |
1872.14346875 |
transcript.pyannote[495].end |
1872.16034375 |
transcript.pyannote[496].speaker |
SPEAKER_04 |
transcript.pyannote[496].start |
1872.16034375 |
transcript.pyannote[496].end |
1877.32409375 |
transcript.pyannote[497].speaker |
SPEAKER_04 |
transcript.pyannote[497].start |
1877.98221875 |
transcript.pyannote[497].end |
1879.60221875 |
transcript.pyannote[498].speaker |
SPEAKER_04 |
transcript.pyannote[498].start |
1879.72034375 |
transcript.pyannote[498].end |
1880.39534375 |
transcript.whisperx[0].start |
42.112 |
transcript.whisperx[0].end |
46.934 |
transcript.whisperx[0].text |
謝謝主席我請卓院長麻煩請卓院長備詢算盤很重喔王委員好卓院長國事如麻不管這次預算的刪減、凍結 |
transcript.whisperx[1].start |
68.53 |
transcript.whisperx[1].end |
93.46 |
transcript.whisperx[1].text |
到底是怎麼樣但是金額非常龐大所以在我們這麼多的國事這麼多的建設軟硬體都需要錢需要經費之下確實這一次預算受到的傷害打擊非常的大所以我今天 |
transcript.whisperx[2].start |
94.685 |
transcript.whisperx[2].end |
123.367 |
transcript.whisperx[2].text |
送你這個禮物希望你帶回去放在院裡面我送你這四個字這四個字就是精打細算要精打細算雖然我們冰箱裡打開就剩兩條鐘三顆蛋連肉我都沒一塊但是如果認真的 |
transcript.whisperx[3].start |
124.019 |
transcript.whisperx[3].end |
144.637 |
transcript.whisperx[3].text |
仔細的好好去規劃還是可以做出至少可以衝擊可以填飽肚子的東西出來所以這一點我還是寄望你要國事為重要精打細算 |
transcript.whisperx[4].start |
169.096 |
transcript.whisperx[4].end |
191.043 |
transcript.whisperx[4].text |
謝謝王委員這個禮物最應該您送的應該是我們的主計長是啊就因為要精打細算所以院長我先從我要提的第二個問題開始 |
transcript.whisperx[5].start |
193.462 |
transcript.whisperx[5].end |
219.316 |
transcript.whisperx[5].text |
時間就是金錢所以你看我舉一個例子我們這個促進促產條例、獎餐條例所參與的幾個案子那大概有一半以上大概最後合約雙方大家不歡而散所以我主張在這些促產條例 |
transcript.whisperx[6].start |
221.434 |
transcript.whisperx[6].end |
242.664 |
transcript.whisperx[6].text |
所參與的案件當中我們應該加入強制仲裁的條例我舉大鵬灣為例大鵬灣自從政府我們跟承包商有產生糾紛以來光是前半段從101年開始用協調的方式協調了8年 |
transcript.whisperx[7].start |
251.53 |
transcript.whisperx[7].end |
280.64 |
transcript.whisperx[7].text |
什麼結論都沒有結果大鵬灣那麼好的觀光景點那麼好的天然資源結果就亮在那個地方後來還是靠仲裁來解決所以我認為至少在促參條例所獎勵的案件當中是不是我們應該加入強制仲裁這樣子的條文也就是說協調不是不可行 |
transcript.whisperx[8].start |
281.496 |
transcript.whisperx[8].end |
299.662 |
transcript.whisperx[8].text |
但是協調必須雙方合一之下才能夠解決但是仲裁的話是快速的判決對雙方也都很公平那如果把我們這幾十年來三四十年來政府參與的案件當中 |
transcript.whisperx[9].start |
301.543 |
transcript.whisperx[9].end |
319.121 |
transcript.whisperx[9].text |
從捷運 從各項公共工程一直到促參條例的案件當中所有仲裁的結論都很公允並不會單方面的對政府不利所以我認為是不是應該加入強制仲裁 |
transcript.whisperx[10].start |
321.297 |
transcript.whisperx[10].end |
341.386 |
transcript.whisperx[10].text |
這就是精打細算我們把時間成本要算在內這高明的政府應該要這麼做院長你的看法是任何行政的效率能夠提升都是政府應該進步的那我們如果有哪裡還沒有注意到這個部分委員的提醒我們馬上會去做內部的檢討我希望你就請 |
transcript.whisperx[11].start |
346.529 |
transcript.whisperx[11].end |
374.007 |
transcript.whisperx[11].text |
財政部 法務部 他們引你相關的這一個部分的法令 好不好那既然莊部長上來的時候那個院長我一併提 跟莊部長有關啦就是說你看我們現在興建中的鐵路捷運的計畫光你手上 我們行政院現在規劃的那麼從基隆的捷運 台北的捷運東環 北環 南環 一直到桃園 |
transcript.whisperx[12].start |
377.25 |
transcript.whisperx[12].end |
400.45 |
transcript.whisperx[12].text |
綠線、中線、台中的捷運、藍線到台南鐵路地下化捷運高捷的黃線等等一直到屏東高鐵延伸到屏東、花東鐵路、雙軌電氣化我加起來總共大概兩兆兩千兩百億那 |
transcript.whisperx[13].start |
402.598 |
transcript.whisperx[13].end |
429.159 |
transcript.whisperx[13].text |
財政部的國庫署非常好他每年國庫署都有發函給我們各公共建設單位跟他說是不是我財政部來輔導你們國庫署敦促他們說是不是發行公債以內公債那我為什麼談這個事情因為我們到現在為止我們國內的售險業 |
transcript.whisperx[14].start |
432.012 |
transcript.whisperx[14].end |
459.374 |
transcript.whisperx[14].text |
收取來自我們2300萬同胞的保險費保險戶的保險費總共可運用的資金35兆裡面有高達七成有25兆這些保險公司把它拿到國外去買債券買基金當然他有兩大理由啦他說我們國內利率低啦 說什麼我們國內市場小欸 院長 |
transcript.whisperx[15].start |
461.004 |
transcript.whisperx[15].end |
487.5 |
transcript.whisperx[15].text |
利率低他不能講啦因為國內利率確實低但是保險公司也是以這麼低的利率去算期望值來賣保險給我們的保護嘛所以利率低這個就不提但是他提到我們國內市場小這一點我完全不服為什麼我們有這麼龐大這麼需要資金的公共建設是不是我們如果由財政部 |
transcript.whisperx[16].start |
488.815 |
transcript.whisperx[16].end |
510.669 |
transcript.whisperx[16].text |
甚至監管會 以他們的能力 錯錯有餘才經在這一部分的能力輔導需要公共建設資金的像交通部門交通的建設的公債還更有自償性你看捷運蓋了 馬上大家收取運費 |
transcript.whisperx[17].start |
512.625 |
transcript.whisperx[17].end |
531.477 |
transcript.whisperx[17].text |
票價都足以來支撐所以這一個部分是不是請財政部金管會幫忙這些需要這些資金建設資金的單位像交通部交通部我看了一下財政部這麼多年來這十年多來有輔導 |
transcript.whisperx[18].start |
533.755 |
transcript.whisperx[18].end |
561.963 |
transcript.whisperx[18].text |
在交通部的部分交通部這十年來有七檔的交通建設一總共在但是金額還是不夠大加起來加起來才一千出頭億但是院長我們現在所需要的經費喔光這些交通建設經費我們需要兩兆兩千億而且而且如果我們把 |
transcript.whisperx[19].start |
563.708 |
transcript.whisperx[19].end |
585.521 |
transcript.whisperx[19].text |
來自於我們全民的保險費的資金拿回國內由我們國內我們統籌來建設我們國家建設我們台灣不但增加大家的向心力而且我們對於行政會我們標榜我們要打造台灣成為亞洲資產管理中心 |
transcript.whisperx[20].start |
587.35 |
transcript.whisperx[20].end |
600.445 |
transcript.whisperx[20].text |
我們把我們資金收回我們自己管自己運用如果我們70%的資金是委外去買國外的債券資金我們把我們的資金拿去給國外管 |
transcript.whisperx[21].start |
601.397 |
transcript.whisperx[21].end |
625.511 |
transcript.whisperx[21].text |
那我們憑什麼號召其他國家說那你的資金給我管很奇怪所以在這個部分我希望由院長由你的高度你的位階由你直接下達指令那讓財政部讓金管會有所適從也讓最需要建設資金的交通部 |
transcript.whisperx[22].start |
626.141 |
transcript.whisperx[22].end |
646.187 |
transcript.whisperx[22].text |
他們也才有一個舒緩的空間否則我現在各單位我舉我們還可以擴大還可以擴大到長照到社會住宅社會住宅院長你手上規劃的現在在你手上規劃就高達4800億天啊4800億那社會住宅長照也都有自償性啊 |
transcript.whisperx[23].start |
655.168 |
transcript.whisperx[23].end |
666.733 |
transcript.whisperx[23].text |
喔 那可以擴大到財政部 軍管會幫助內政部他們幫助衛福部趕快來籌措這一部分的 |
transcript.whisperx[24].start |
669.275 |
transcript.whisperx[24].end |
695.383 |
transcript.whisperx[24].text |
與種公債你的看法呢 院長好 謝謝委員的高見委員剛剛的這些建議都是我們現在在推動的我們就是用這樣的方式希望引進包括授請資金在內進到國內來做大家合理的投資但似乎在投資上面它有一個最低利潤的一個規定那如果不到這個規定他們沒有辦法投資所以我們跟金管會曾經討論過要不要考慮來把這個打開 是不行 |
transcript.whisperx[25].start |
698.484 |
transcript.whisperx[25].end |
713.574 |
transcript.whisperx[25].text |
彭主委來說明一下謝謝委員我想剛剛委員那個指教說金管會對這一項我們都是真的非常的支持我們前陣子才跟我們那個陳部長在討論很多交通工件我們因為我們在金管會這邊籌組一個資本市場服務團我們請交易所跟櫃買做一個免費的服務來協助這些工件 |
transcript.whisperx[26].start |
717.837 |
transcript.whisperx[26].end |
742.451 |
transcript.whisperx[26].text |
然後做剛剛委員提到的商品化跟證券化的過程這我們一直在努力我們也非常希望說國內有更多具有投資價值的商品能夠出來讓我們的保險資金能夠留在台灣這是我們現在正在努力的部分有 我就舉個例啦他說國外利息高 好嗎賺人家的利息可能本金被吃掉因為兩個風險一個匯率的風險我們畢竟我們是小國 |
transcript.whisperx[27].start |
746.82 |
transcript.whisperx[27].end |
769.995 |
transcript.whisperx[27].text |
大國主導匯率啊所以我們吃了利息本金匯率被一調不是就被吃掉還有很重要的另外一個風險戰爭我本來很不願意提我們有五家保險公司買了1580億俄國債券那我想主委很知道你有轉過這個狀況這也是你告知我的 |
transcript.whisperx[28].start |
773.673 |
transcript.whisperx[28].end |
778.596 |
transcript.whisperx[28].text |
從去年8月開始這1580億的債券陸續到期10億20億8億30億陸續到期俄國怎麼答覆我們呢俄國答覆說等我戰爭打完再來算這筆債天啊 |
transcript.whisperx[29].start |
793.154 |
transcript.whisperx[29].end |
820.735 |
transcript.whisperx[29].text |
天啊這麼大的風險耶難道我們要去捲入俄烏戰爭嗎派飛機去跟他要嗎所以我認為這件事情刻不容緩站在國安的角度站在建設我們台灣我們國家的角度我們需要這些資金好不好院長您說已經在做了那非常好那我們就更積極的做更大步的做你大力授權彭知偉跟莊部長 |
transcript.whisperx[30].start |
822.456 |
transcript.whisperx[30].end |
850.775 |
transcript.whisperx[30].text |
我們已經要求我們提供給我們在海外的資金回來我們提供給他一個長期合理穩定的投資報酬他就願意回來在這樣的投資環境底下也壯大我們自己的資本市場對 也讓我們的公部門像交通部就不能說我反正是公共建設嘛我要資金大筆一揮那預算編就有了不能再這樣籌措裁員不能只是有預算我們要往 |
transcript.whisperx[31].start |
851.808 |
transcript.whisperx[31].end |
875.975 |
transcript.whisperx[31].text |
光在這個部分包括社宅我們也希望引進民間的合作而不是政府一再的投資如果這樣的話速度量都可能比較快而且多沒錯沒錯好那兩位部長請回陳部長你也請回院長我要再提的就是關於死刑的執行我們好不容易 |
transcript.whisperx[32].start |
877.014 |
transcript.whisperx[32].end |
902.84 |
transcript.whisperx[32].text |
前兩三個月有在槍斃的位現在還有36位已經判死刑多年有的已經判了30年這些人都殺人無數可以說罪大惡極罪無可換現在大法官也做出解釋死刑核限但是必須很嚴謹執行他講的這4加1 5個條件我希望法務部能夠趕快救這36位 |
transcript.whisperx[33].start |
905.661 |
transcript.whisperx[33].end |
921.19 |
transcript.whisperx[33].text |
實刑犯這四加一的這五項我們要趕快一項一項去檢視而且要把時間表列出來給全民一個交代自古殺人償命啊不是嗎我們要還被害者 |
transcript.whisperx[34].start |
924.09 |
transcript.whisperx[34].end |
949.699 |
transcript.whisperx[34].text |
法律是為人民服務的嘛那我們不管其他歐洲國家是怎麼樣美國現在超過一半的州還在執行死刑耶那日本韓國這個更不用講歐洲多數國家也是死刑只有北歐少數幾個國家耶所以我認為我們2300萬人共同的意志超過八成的民意認為就是應該 |
transcript.whisperx[35].start |
951.727 |
transcript.whisperx[35].end |
971.456 |
transcript.whisperx[35].text |
罪與罰要成比例當他罪大惡極當然就是罪重罰殺人償命嘛不是這樣嗎好那這36位大法官做出了解釋這四大項說最嚴重的犯罪情節最嚴謹的法律程序 |
transcript.whisperx[36].start |
973.417 |
transcript.whisperx[36].end |
997.05 |
transcript.whisperx[36].text |
說強制辯護何議庭一致判決我認為我們要審視這四項針對這36位其實如果我們真要做其實一段時間內就可以做到嘛審視這四大項還有一小項就是要做精神鑑定啊看他是不是有精神障礙心智缺陷這個 |
transcript.whisperx[37].start |
999.011 |
transcript.whisperx[37].end |
1025.162 |
transcript.whisperx[37].text |
我們要不就是過去審判的時候有做要不就是現在再跟他做一次嘛趕快趁這個時間所以院長我是希望你交代部長是不是這一個部分這36位不是360位不是3600位所以要有一個時間要有時間表要出來到底做到哪幾項我們還欠缺什麼 |
transcript.whisperx[38].start |
1026.002 |
transcript.whisperx[38].end |
1042.057 |
transcript.whisperx[38].text |
有這麼龐大的民意支持而且院長執行死刑是法務部的職責喔是法務部的職責好不好我希望你提醒部長這一點這是他的重責大任 |
transcript.whisperx[39].start |
1042.762 |
transcript.whisperx[39].end |
1062.932 |
transcript.whisperx[39].text |
犯罪人是否罪大惡刑法院已經做了定案了判決之後那現在執行就在法務部那法務部必定要遵照現判的意旨完成他的所有的法定程序那給應該被執行者的最後剛剛委員所說的要不要經過一個 |
transcript.whisperx[40].start |
1064.011 |
transcript.whisperx[40].end |
1092.927 |
transcript.whisperx[40].text |
精神的鑑定或是一個怎麼樣的審定讓他知道他因為他的犯行而受到社會最大最大的苛責他必須要付出這樣的代價那法務部是非常謹慎的那麼前一陣子我們也因為整個法律的這個完備我們有執行了一位所以證明台灣並不是一個廢死的一個社會我們法律上我們是在合憲的範圍當中只要完備法律我們對於這種經過法院判決的最後合備法律我們會予以執行的 |
transcript.whisperx[41].start |
1093.487 |
transcript.whisperx[41].end |
1113.731 |
transcript.whisperx[41].text |
大法官都幫整個政府 幫法務部背書了嘛死刑核憲 只是加注了這幾項那這些就成如剛才院長你也認同的嘛這最嚴重的犯罪情節 這都是全民已經看得一清二楚就是簡單講 罪大惡極 罪無可換 |
transcript.whisperx[42].start |
1117.4 |
transcript.whisperx[42].end |
1143.766 |
transcript.whisperx[42].text |
這種有的甚至前幾年發生的那種慘絕人寰的還有院長我們這些法律輔助的預算去年編了15億今年也編了15億但是很傷腦筋的去年啦我光講去年就好去年15億法輔的預算啦百分之二十不到是用在被害人 |
transcript.whisperx[43].start |
1145.014 |
transcript.whisperx[43].end |
1171.554 |
transcript.whisperx[43].text |
有將近百分之八十是在幫加害人幫他強制辯護不打緊加害人啊死刑罐請罪多啦一聘聘三位律師天啊天啊加害人家無恆常連個律師也請不起加害人現在在我們的法律的訴訟當中是很 |
transcript.whisperx[44].start |
1172.608 |
transcript.whisperx[44].end |
1199.749 |
transcript.whisperx[44].text |
無奈完全無力的他們連結婚權都沒有他發生命案以後被害人家屬必須把所有權力寄望於說這個檢察官很好這個包青天在世能夠伸張但是往往檢察官案量很多有時候總是會有小疏忽所以對被害人非常非常的不公平我認為今年這15億的預算我們應該扭轉過來 |
transcript.whisperx[45].start |
1202.491 |
transcript.whisperx[45].end |
1221.644 |
transcript.whisperx[45].text |
適度的扭轉過來當然還是給被害人強制辯護沒錯但是我們要適度的轉化把多數的資源留給被害家庭被害人的家屬好不好好不好編預算在司法院但資金很多工序請部長來答覆一下 |
transcript.whisperx[46].start |
1223.203 |
transcript.whisperx[46].end |
1245.645 |
transcript.whisperx[46].text |
他那個法府是屬於那個司法院主管的那那個犯罪被害人這部分我們那個犯罪被害人權利保護法現在是在113年1月1日施行的那現在已經施行的第二年了那這部分我們可以加強保護那這個的預算都有做一個比較寬裂的我認為家人的人權固然要保障 |
transcript.whisperx[47].start |
1246.789 |
transcript.whisperx[47].end |
1261.048 |
transcript.whisperx[47].text |
我們大法官也釋憲的結果我們給他強制辯護如果是急刑的審判的話但是要適可而止這些資源我們應該用在被害以被害人為主 |
transcript.whisperx[48].start |
1262.67 |
transcript.whisperx[48].end |
1286.471 |
transcript.whisperx[48].text |
所以對加害人的人權的保障對被害人的人權的保障我們很用心但是至少對加害人的我們很用心但對被害人我們至少要採取同樣的態度甚至更多的關係至少同樣的態度所以就要同樣的資源嘛好不好還有我要跟您提到來那個部長你請回我要提到的就是一個也是很無奈的 |
transcript.whisperx[49].start |
1288.635 |
transcript.whisperx[49].end |
1310.325 |
transcript.whisperx[49].text |
被遺忘的颱風架需求啦我們幾個月前來了兩三個颱風在台北的甚至連放兩天颱風架在高雄甚至有四天的颱風架結果我們很多獨居的身葬者 |
transcript.whisperx[50].start |
1312.878 |
transcript.whisperx[50].end |
1339.414 |
transcript.whisperx[50].text |
不要說連著四天連著兩天光一天啦一天沒有造福源去他們幾乎就沒辦法來自立生活照顧自己他們要吃藥要用餐要喝水要如廁這些身葬者沒辦法自己一人完成尤其是獨居的獨居的身葬者他沒有家人更不用談外傭了 |
transcript.whisperx[51].start |
1340.074 |
transcript.whisperx[51].end |
1365.108 |
transcript.whisperx[51].text |
那這樣子的情況我認為我們有兩件事可以應該趕快著手改善第一個就是說如果颱風有宣告颱風的時候是不是我們趕快跟獨居的身障者很龐大的人數喔大概一千八百多位我們趕快聯絡他們是不是我們緊急安置第二點我們用 |
transcript.whisperx[52].start |
1365.948 |
transcript.whisperx[52].end |
1385.976 |
transcript.whisperx[52].text |
我們的這個造福源造福源為什麼颱風架造福源他可以不出警嗎因為本身有危險還有他需要的交通的費用還有這樣子出差的危險那危險性的部分我們可以用保險來代替 |
transcript.whisperx[53].start |
1386.769 |
transcript.whisperx[53].end |
1400.517 |
transcript.whisperx[53].text |
那麼他交通出勤的部分我們讓他搭私家車搭Uber搭計程車這些費用由政府吸收來貼他們因為畢竟水災風災這些火災這些都是 |
transcript.whisperx[54].start |
1406.005 |
transcript.whisperx[54].end |
1422.438 |
transcript.whisperx[54].text |
偶爾會發生並不是每天常態性的事所以這些是不是應該由我們政府來擔負這個部分這個費用的補貼 補貼造福源兩個緊急安置然後造福源我們幫他讓他可以出勤 |
transcript.whisperx[55].start |
1423.078 |
transcript.whisperx[55].end |
1443.754 |
transcript.whisperx[55].text |
你的看法呢原則性的問題跟委員答覆在總統的指示下如何全面提高對獨居老人的照顧我們也請鄭麗君副院長再主持一個專案那其中很多的資訊跟照顧的實際的行為要來自於地方政府的配合跟合作他才有完整的資訊但無論如何我們已經全面在做這個專案了 |
transcript.whisperx[56].start |
1445.135 |
transcript.whisperx[56].end |
1461.445 |
transcript.whisperx[56].text |
這個已經在處理未來委員所提到的這個部分就是一個照顧服務的空檔我們不會讓他空檔來出現這個我們會在專案裡面把它納進去但是還是需要地方政府能夠全面的來協助才有辦法把這個11在各個地方能夠全面的照顧網能夠展開來 |
transcript.whisperx[57].start |
1462.453 |
transcript.whisperx[57].end |
1486.232 |
transcript.whisperx[57].text |
當然啦 地方政府當然是要配合那這一點我們中央政府可以督導他們我們有端的在處理都可以督導他們還有身心障礙者權利保障法已經17年沒有修正那院長在你的手上 你們已經修正了衛福部已經通過了這個版本 這非常好那麼也送到行政院再做最後的核定那麼是不是 院長 |
transcript.whisperx[58].start |
1486.852 |
transcript.whisperx[58].end |
1513.558 |
transcript.whisperx[58].text |
是不是可以在近期內趕快將身心障礙者權力保障法是不是就送來我們立法院完成這個程序好不好好 部長能簡單答覆重點答覆身心障礙權力保障法我們已經在3月3號函送行政院審查也感謝行政院也多次指導擬出一個最適當的一個版本現在正在行政院審議 |
transcript.whisperx[59].start |
1514.804 |
transcript.whisperx[59].end |
1543.009 |
transcript.whisperx[59].text |
好 那個部長剛好你上來了我順便提 院長就是保健品的關稅啦大概我們全台灣是全世界保健品關稅最高的國家欸 美國只有6.4%韓國8% 日本4.5連對岸中國都8.5%而已我們多少欸我們高達30%的保健品關稅那這有兩大影響第一個 這影響到我們國民 |
transcript.whisperx[60].start |
1545.347 |
transcript.whisperx[60].end |
1563.62 |
transcript.whisperx[60].text |
去採用更優質 品質更好的國外保健品像歐美日他們這些保健品第二點阻礙了我們自己國內生技業 製藥業他們應有的發展 保健品的市場 |
transcript.whisperx[61].start |
1567.062 |
transcript.whisperx[61].end |
1590.74 |
transcript.whisperx[61].text |
光我就舉一年就好 光舉前年就好前年保健品的市場高達1700億當然1700億裡面很多我們國民還是願意接受好啦那被你打30% 我就是要用國外的用扣掉這些國外進口的以外 |
transcript.whisperx[62].start |
1591.499 |
transcript.whisperx[62].end |
1609.836 |
transcript.whisperx[62].text |
我們還有將近一千億有九百多億國內保健品就由我們國內業者製造那當然經濟部現在部長上來了經濟部就說啊這麼高的關稅保護我們國內的產業但是保護產業固然是對 |
transcript.whisperx[63].start |
1611.069 |
transcript.whisperx[63].end |
1623.031 |
transcript.whisperx[63].text |
但是國民健康應該優於產業保護不是嗎然後因為這麼高關稅讓這些大廠們他藥品不再研發不再製作了 |
transcript.whisperx[64].start |
1624.042 |
transcript.whisperx[64].end |
1641.871 |
transcript.whisperx[64].text |
他就做這些保健品做維他命ABCDE責任又小做鈣片做這些保健品利潤高有30%的關稅保護啊所以他不再做藥啦也不再研發啦你看我們現在健保這麼拮据我們把 |
transcript.whisperx[65].start |
1642.871 |
transcript.whisperx[65].end |
1662.745 |
transcript.whisperx[65].text |
國外一些優質原廠藥我們因為價格的關係只好砍砍到人家不交那至少如果我們國內的藥廠增機的話你至少不但研發你也可以做這些專利已經到期的學名藥啊但是他不做啦 為什麼三十八保護者我有將近一千億 |
transcript.whisperx[66].start |
1665.046 |
transcript.whisperx[66].end |
1684.871 |
transcript.whisperx[66].text |
這麼龐大的市場我就做這個就好了所以院長我希望說你能跟兩位部長好好談一談產業的保護固然重要但是國內的藥廠生技業這些工廠沒有那麼脆弱他們都已經龐然大悟啦上市上櫃了一大堆 |
transcript.whisperx[67].start |
1686.229 |
transcript.whisperx[67].end |
1714.211 |
transcript.whisperx[67].text |
我們要可以他們責任也就是說我們把保健品的關稅下降一方面讓我們國內的同胞能夠享受到便宜又優質的國外保健品二方面讓我們國內的藥廠生技業他們能夠茁壯能夠來研究這些重要的製藥那個對我們國民健康有另類保障的這些製藥好不好 |
transcript.whisperx[68].start |
1717.558 |
transcript.whisperx[68].end |
1741.472 |
transcript.whisperx[68].text |
報告委員您的這個指教我們會參佐我們會鼓勵業者自己好好的生產符合國人健康的這些藥那麼保健食品的部分我們也會來了解整個市場的需求我希望你回去趕快了解這個市場就我剛剛跟你提的 |
transcript.whisperx[69].start |
1743.473 |
transcript.whisperx[69].end |
1762.099 |
transcript.whisperx[69].text |
1700億扣除進口的我們自己國內製造有1000億之多所以你看這些生技這些做保健品的藥廠各個都上市上櫃那當然那是他們的本領啦我們不是忌諱他去上市不是而是希望可以以他更多責任去研發藥品 |
transcript.whisperx[70].start |
1763.579 |
transcript.whisperx[70].end |
1772.394 |
transcript.whisperx[70].text |
去幫助我們的健保去平衡好不好所以郭部長我再次跟郭部長你強調產業保護固然重要 |
transcript.whisperx[71].start |
1773.285 |
transcript.whisperx[71].end |
1792.423 |
transcript.whisperx[71].text |
但是國民健康更優於產業保護好不好好那兩位部長三位部長請回我院長我最後一個題目要跟你提到的就是關於我相信你們已經有著手在進行這院裡跟國防部都有在進行就是關於我們國軍 |
transcript.whisperx[72].start |
1796.328 |
transcript.whisperx[72].end |
1823.563 |
transcript.whisperx[72].text |
我們兵源那麼薪資結構的調整那也因應我們未來勢必會調漲我們國防的支出既然是這樣而且現在我們志願役跟義務役薪資都應該要做調整我舉例現在光做建築的泥水工、鋼筋工、模板工一天都三千五耶需要趕工的時候還四千塊以上 |
transcript.whisperx[73].start |
1824.463 |
transcript.whisperx[73].end |
1841.836 |
transcript.whisperx[73].text |
那只要他做兩天修一天做兩天修一天一個月就七八萬了那對志願力非常不公平才三萬多元所以在這個部分那對於那個志願力跟意味都應該增加 |
transcript.whisperx[74].start |
1842.276 |
transcript.whisperx[74].end |
1862.621 |
transcript.whisperx[74].text |
因為一五一很多他固然對國家有這個當兵的義務但是有的都家庭還是需要過去他學生的時候打工去幫家計所以在一五一自願意我們我知道國防部應該有規劃的報告委員賴總統上任以後就有所指示國防部也在緊急作業好那是不是進化以後趕快就准監獄實施以後 |
transcript.whisperx[75].start |
1872.176 |
transcript.whisperx[75].end |
1879.145 |
transcript.whisperx[75].text |
好 謝謝王世堅委員的質詢也謝謝卓院長 各位部會首長的備詢 謝謝在接下來我們請登記 |