| IVOD_ID |
168628 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168628 |
| 日期 |
2026-04-17 |
| 會議資料.會議代碼 |
院會-11-5-7 |
| 會議資料.會議代碼:str |
第11屆第5會期第7次會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 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5會期第7次會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-17T15:33:04+08:00 |
| 結束時間 |
2026-04-17T15:48:38+08:00 |
| 影片長度 |
00:15:34 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e4e47dc2dcd1f6a3fda41b4a5350cd4a95433d110d6df159f6cb3173bafa31acae3b9e6717fc26315ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
王定宇 |
| 委員發言時間 |
15:33:04 - 15:48:38 |
| 會議時間 |
2026-04-17T09:00:00+08:00 |
| 會議名稱 |
第11屆第5會期第7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、邀請行政院院長、主計長、財政部部長列席報告「115年度中央政府總預算案」編製經過並備質詢（含志願役軍人加薪及警消人員退休金等預算編製處理情形併予報告）。（4月21日）三、4月17日上午9時至10時為國是論壇時間。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
10.00409375 |
| transcript.pyannote[0].end |
12.82221875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
13.46346875 |
| transcript.pyannote[1].end |
15.31971875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
25.54596875 |
| transcript.pyannote[2].end |
28.95471875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
26.84534375 |
| transcript.pyannote[3].end |
27.46971875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
28.95471875 |
| transcript.pyannote[4].end |
29.22471875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
29.00534375 |
| transcript.pyannote[5].end |
29.05596875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
29.22471875 |
| transcript.pyannote[6].end |
30.03471875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
30.49034375 |
| transcript.pyannote[7].end |
35.11409375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
35.40096875 |
| transcript.pyannote[8].end |
38.18534375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
38.57346875 |
| transcript.pyannote[9].end |
40.64909375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
41.29034375 |
| transcript.pyannote[10].end |
45.15471875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
46.23471875 |
| transcript.pyannote[11].end |
47.12909375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
47.80409375 |
| transcript.pyannote[12].end |
49.00221875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
49.57596875 |
| transcript.pyannote[13].end |
51.34784375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
51.92159375 |
| transcript.pyannote[14].end |
53.17034375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
54.06471875 |
| transcript.pyannote[15].end |
57.52409375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
57.96284375 |
| transcript.pyannote[16].end |
63.88596875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
64.66221875 |
| transcript.pyannote[17].end |
66.29909375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
66.61971875 |
| transcript.pyannote[18].end |
67.64909375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
68.15534375 |
| transcript.pyannote[19].end |
71.05784375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
71.24346875 |
| transcript.pyannote[20].end |
73.13346875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
73.82534375 |
| transcript.pyannote[21].end |
75.96846875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
76.06971875 |
| transcript.pyannote[22].end |
80.10284375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
80.45721875 |
| transcript.pyannote[23].end |
84.20346875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
84.84471875 |
| transcript.pyannote[24].end |
85.63784375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
86.07659375 |
| transcript.pyannote[25].end |
87.30846875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
87.59534375 |
| transcript.pyannote[26].end |
87.94971875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
88.77659375 |
| transcript.pyannote[27].end |
89.78909375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
90.58221875 |
| transcript.pyannote[28].end |
91.27409375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
91.57784375 |
| transcript.pyannote[29].end |
93.77159375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
94.21034375 |
| transcript.pyannote[30].end |
96.87659375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
97.41659375 |
| transcript.pyannote[31].end |
100.60596875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
101.12909375 |
| transcript.pyannote[32].end |
106.02284375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
106.51221875 |
| transcript.pyannote[33].end |
106.78221875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
107.32221875 |
| transcript.pyannote[34].end |
109.65096875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
110.22471875 |
| transcript.pyannote[35].end |
112.41846875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
112.60409375 |
| transcript.pyannote[36].end |
114.13971875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
114.81471875 |
| transcript.pyannote[37].end |
115.38846875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
115.89471875 |
| transcript.pyannote[38].end |
119.18534375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
119.67471875 |
| transcript.pyannote[39].end |
121.83471875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
122.20596875 |
| transcript.pyannote[40].end |
127.33596875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
127.89284375 |
| transcript.pyannote[41].end |
128.29784375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
128.55096875 |
| transcript.pyannote[42].end |
133.84971875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
134.23784375 |
| transcript.pyannote[43].end |
138.20346875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
138.87846875 |
| transcript.pyannote[44].end |
140.70096875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
140.90346875 |
| transcript.pyannote[45].end |
143.78909375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
144.19409375 |
| transcript.pyannote[46].end |
149.84721875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
150.77534375 |
| transcript.pyannote[47].end |
152.19284375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
153.20534375 |
| transcript.pyannote[48].end |
154.67346875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
155.29784375 |
| transcript.pyannote[49].end |
155.97284375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
156.17534375 |
| transcript.pyannote[50].end |
157.91346875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
158.90909375 |
| transcript.pyannote[51].end |
163.19534375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
163.58346875 |
| transcript.pyannote[52].end |
166.03034375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
166.40159375 |
| transcript.pyannote[53].end |
168.34221875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
168.88221875 |
| transcript.pyannote[54].end |
171.61596875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
172.44284375 |
| transcript.pyannote[55].end |
184.05284375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
184.27221875 |
| transcript.pyannote[56].end |
186.92159375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
187.63034375 |
| transcript.pyannote[57].end |
193.13159375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
193.53659375 |
| transcript.pyannote[58].end |
205.43346875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
205.65284375 |
| transcript.pyannote[59].end |
208.25159375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
208.53846875 |
| transcript.pyannote[60].end |
222.56159375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
223.08471875 |
| transcript.pyannote[61].end |
224.78909375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
225.51471875 |
| transcript.pyannote[62].end |
229.69971875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
230.00346875 |
| transcript.pyannote[63].end |
230.99909375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
231.87659375 |
| transcript.pyannote[64].end |
232.46721875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
232.60221875 |
| transcript.pyannote[65].end |
241.30971875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
241.76534375 |
| transcript.pyannote[66].end |
242.77784375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
242.94659375 |
| transcript.pyannote[67].end |
245.74784375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
246.22034375 |
| transcript.pyannote[68].end |
247.50284375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
247.90784375 |
| transcript.pyannote[69].end |
253.08846875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
253.59471875 |
| transcript.pyannote[70].end |
255.02909375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
255.13034375 |
| transcript.pyannote[71].end |
256.63221875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
256.93596875 |
| transcript.pyannote[72].end |
258.42096875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
258.92721875 |
| transcript.pyannote[73].end |
260.41221875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
260.59784375 |
| transcript.pyannote[74].end |
261.86346875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
262.31909375 |
| transcript.pyannote[75].end |
265.44096875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
266.50409375 |
| transcript.pyannote[76].end |
267.56721875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
268.66409375 |
| transcript.pyannote[77].end |
270.40221875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
271.17846875 |
| transcript.pyannote[78].end |
273.11909375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
273.47346875 |
| transcript.pyannote[79].end |
275.07659375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
275.24534375 |
| transcript.pyannote[80].end |
283.41284375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
283.66596875 |
| transcript.pyannote[81].end |
287.09159375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
287.71596875 |
| transcript.pyannote[82].end |
290.34846875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
290.98971875 |
| transcript.pyannote[83].end |
293.85846875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
294.43221875 |
| transcript.pyannote[84].end |
295.36034375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
295.64721875 |
| transcript.pyannote[85].end |
298.36409375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
298.95471875 |
| transcript.pyannote[86].end |
300.77721875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
301.53659375 |
| transcript.pyannote[87].end |
302.44784375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
302.83596875 |
| transcript.pyannote[88].end |
306.59909375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
306.78471875 |
| transcript.pyannote[89].end |
308.37096875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
308.96159375 |
| transcript.pyannote[90].end |
309.36659375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
310.15971875 |
| transcript.pyannote[91].end |
310.73346875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
311.05409375 |
| transcript.pyannote[92].end |
318.95159375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
319.12034375 |
| transcript.pyannote[93].end |
320.80784375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
321.21284375 |
| transcript.pyannote[94].end |
323.08596875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
323.71034375 |
| transcript.pyannote[95].end |
327.18659375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
328.68846875 |
| transcript.pyannote[96].end |
334.62846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
335.23596875 |
| transcript.pyannote[97].end |
335.79284375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
336.53534375 |
| transcript.pyannote[98].end |
339.97784375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
340.48409375 |
| transcript.pyannote[99].end |
341.04096875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
341.63159375 |
| transcript.pyannote[100].end |
346.10346875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
345.54659375 |
| transcript.pyannote[101].end |
346.62659375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
346.71096875 |
| transcript.pyannote[102].end |
347.23409375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
347.23409375 |
| transcript.pyannote[103].end |
347.47034375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
347.48721875 |
| transcript.pyannote[104].end |
348.61784375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
349.39409375 |
| transcript.pyannote[105].end |
351.92534375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
350.98034375 |
| transcript.pyannote[106].end |
353.27534375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
353.27534375 |
| transcript.pyannote[107].end |
353.52846875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
353.73096875 |
| transcript.pyannote[108].end |
357.69659375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
358.23659375 |
| transcript.pyannote[109].end |
359.46846875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
360.97034375 |
| transcript.pyannote[110].end |
364.37909375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
364.66596875 |
| transcript.pyannote[111].end |
365.47596875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
365.84721875 |
| transcript.pyannote[112].end |
373.66034375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
374.40284375 |
| transcript.pyannote[113].end |
374.97659375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
375.75284375 |
| transcript.pyannote[114].end |
375.97221875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
375.97221875 |
| transcript.pyannote[115].end |
376.15784375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
376.15784375 |
| transcript.pyannote[116].end |
376.17471875 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
376.74846875 |
| transcript.pyannote[117].end |
380.56221875 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
380.83221875 |
| transcript.pyannote[118].end |
383.56596875 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
384.27471875 |
| transcript.pyannote[119].end |
385.45596875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
384.47721875 |
| transcript.pyannote[120].end |
390.23159375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
388.27409375 |
| transcript.pyannote[121].end |
392.22284375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
390.38346875 |
| transcript.pyannote[122].end |
390.73784375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
392.64471875 |
| transcript.pyannote[123].end |
396.25596875 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
396.57659375 |
| transcript.pyannote[124].end |
398.14596875 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
398.38221875 |
| transcript.pyannote[125].end |
399.59721875 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
399.76596875 |
| transcript.pyannote[126].end |
402.75284375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
403.02284375 |
| transcript.pyannote[127].end |
416.52284375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
406.98846875 |
| transcript.pyannote[128].end |
407.30909375 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
416.69159375 |
| transcript.pyannote[129].end |
418.42971875 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
418.85159375 |
| transcript.pyannote[130].end |
421.77096875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
418.88534375 |
| transcript.pyannote[131].end |
419.39159375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
422.69909375 |
| transcript.pyannote[132].end |
422.71596875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
422.71596875 |
| transcript.pyannote[133].end |
423.08721875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
423.27284375 |
| transcript.pyannote[134].end |
426.39471875 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
426.96846875 |
| transcript.pyannote[135].end |
428.67284375 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
428.67284375 |
| transcript.pyannote[136].end |
428.68971875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
428.68971875 |
| transcript.pyannote[137].end |
429.02721875 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
429.71909375 |
| transcript.pyannote[138].end |
430.59659375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
431.37284375 |
| transcript.pyannote[139].end |
433.00971875 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
433.00971875 |
| transcript.pyannote[140].end |
433.24596875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
433.24596875 |
| transcript.pyannote[141].end |
436.97534375 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
433.31346875 |
| transcript.pyannote[142].end |
433.78596875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
437.59971875 |
| transcript.pyannote[143].end |
440.16471875 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
440.85659375 |
| transcript.pyannote[144].end |
446.99909375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
447.53909375 |
| transcript.pyannote[145].end |
460.33034375 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
461.05596875 |
| transcript.pyannote[146].end |
471.24846875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
471.60284375 |
| transcript.pyannote[147].end |
478.63971875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
479.56784375 |
| transcript.pyannote[148].end |
480.41159375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
480.93471875 |
| transcript.pyannote[149].end |
482.99346875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
483.29721875 |
| transcript.pyannote[150].end |
485.50784375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
486.03096875 |
| transcript.pyannote[151].end |
489.89534375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
490.63784375 |
| transcript.pyannote[152].end |
491.04284375 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
491.65034375 |
| transcript.pyannote[153].end |
498.24846875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
498.82221875 |
| transcript.pyannote[154].end |
503.15909375 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
503.56409375 |
| transcript.pyannote[155].end |
505.06596875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
505.13346875 |
| transcript.pyannote[156].end |
509.23409375 |
| transcript.pyannote[157].speaker |
SPEAKER_01 |
| transcript.pyannote[157].start |
509.74034375 |
| transcript.pyannote[157].end |
510.38159375 |
| transcript.pyannote[158].speaker |
SPEAKER_01 |
| transcript.pyannote[158].start |
510.61784375 |
| transcript.pyannote[158].end |
515.25846875 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
515.73096875 |
| transcript.pyannote[159].end |
529.21409375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
529.51784375 |
| transcript.pyannote[160].end |
533.61846875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
534.15846875 |
| transcript.pyannote[161].end |
537.16221875 |
| transcript.pyannote[162].speaker |
SPEAKER_01 |
| transcript.pyannote[162].start |
537.43221875 |
| transcript.pyannote[162].end |
544.19909375 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
544.33409375 |
| transcript.pyannote[163].end |
549.12659375 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
549.46409375 |
| transcript.pyannote[164].end |
551.79284375 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
552.11346875 |
| transcript.pyannote[165].end |
558.67784375 |
| transcript.pyannote[166].speaker |
SPEAKER_01 |
| transcript.pyannote[166].start |
558.96471875 |
| transcript.pyannote[166].end |
560.12909375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
560.70284375 |
| transcript.pyannote[167].end |
561.20909375 |
| transcript.pyannote[168].speaker |
SPEAKER_01 |
| transcript.pyannote[168].start |
561.44534375 |
| transcript.pyannote[168].end |
564.71909375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
565.25909375 |
| transcript.pyannote[169].end |
570.10221875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
570.50721875 |
| transcript.pyannote[170].end |
574.01721875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
574.32096875 |
| transcript.pyannote[171].end |
578.43846875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
578.45534375 |
| transcript.pyannote[172].end |
581.23971875 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
581.25659375 |
| transcript.pyannote[173].end |
581.29034375 |
| transcript.pyannote[174].speaker |
SPEAKER_01 |
| transcript.pyannote[174].start |
581.29034375 |
| transcript.pyannote[174].end |
591.97221875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
581.59409375 |
| transcript.pyannote[175].end |
582.58971875 |
| transcript.pyannote[176].speaker |
SPEAKER_01 |
| transcript.pyannote[176].start |
592.25909375 |
| transcript.pyannote[176].end |
593.37284375 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
593.79471875 |
| transcript.pyannote[177].end |
598.28346875 |
| transcript.pyannote[178].speaker |
SPEAKER_01 |
| transcript.pyannote[178].start |
598.38471875 |
| transcript.pyannote[178].end |
600.84846875 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
601.40534375 |
| transcript.pyannote[179].end |
606.33284375 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
606.53534375 |
| transcript.pyannote[180].end |
607.64909375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
608.08784375 |
| transcript.pyannote[181].end |
617.62221875 |
| transcript.pyannote[182].speaker |
SPEAKER_01 |
| transcript.pyannote[182].start |
617.99346875 |
| transcript.pyannote[182].end |
618.87096875 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
619.39409375 |
| transcript.pyannote[183].end |
621.19971875 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
621.58784375 |
| transcript.pyannote[184].end |
621.94221875 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
622.38096875 |
| transcript.pyannote[185].end |
624.27096875 |
| transcript.pyannote[186].speaker |
SPEAKER_01 |
| transcript.pyannote[186].start |
624.60846875 |
| transcript.pyannote[186].end |
625.11471875 |
| transcript.pyannote[187].speaker |
SPEAKER_01 |
| transcript.pyannote[187].start |
625.40159375 |
| transcript.pyannote[187].end |
628.64159375 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
629.43471875 |
| transcript.pyannote[188].end |
629.97471875 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
630.54846875 |
| transcript.pyannote[189].end |
632.45534375 |
| transcript.pyannote[190].speaker |
SPEAKER_01 |
| transcript.pyannote[190].start |
633.33284375 |
| transcript.pyannote[190].end |
634.68284375 |
| transcript.pyannote[191].speaker |
SPEAKER_01 |
| transcript.pyannote[191].start |
635.66159375 |
| transcript.pyannote[191].end |
638.34471875 |
| transcript.pyannote[192].speaker |
SPEAKER_01 |
| transcript.pyannote[192].start |
638.91846875 |
| transcript.pyannote[192].end |
640.01534375 |
| transcript.pyannote[193].speaker |
SPEAKER_01 |
| transcript.pyannote[193].start |
640.79159375 |
| transcript.pyannote[193].end |
644.75721875 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
645.24659375 |
| transcript.pyannote[194].end |
647.17034375 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
647.76096875 |
| transcript.pyannote[195].end |
649.68471875 |
| transcript.pyannote[196].speaker |
SPEAKER_01 |
| transcript.pyannote[196].start |
650.07284375 |
| transcript.pyannote[196].end |
653.73471875 |
| transcript.pyannote[197].speaker |
SPEAKER_01 |
| transcript.pyannote[197].start |
654.10596875 |
| transcript.pyannote[197].end |
656.83971875 |
| transcript.pyannote[198].speaker |
SPEAKER_01 |
| transcript.pyannote[198].start |
657.19409375 |
| transcript.pyannote[198].end |
660.90659375 |
| transcript.pyannote[199].speaker |
SPEAKER_01 |
| transcript.pyannote[199].start |
661.81784375 |
| transcript.pyannote[199].end |
662.49284375 |
| transcript.pyannote[200].speaker |
SPEAKER_01 |
| transcript.pyannote[200].start |
663.04971875 |
| transcript.pyannote[200].end |
664.61909375 |
| transcript.pyannote[201].speaker |
SPEAKER_01 |
| transcript.pyannote[201].start |
665.14221875 |
| transcript.pyannote[201].end |
665.63159375 |
| transcript.pyannote[202].speaker |
SPEAKER_01 |
| transcript.pyannote[202].start |
666.10409375 |
| transcript.pyannote[202].end |
668.78721875 |
| transcript.pyannote[203].speaker |
SPEAKER_01 |
| transcript.pyannote[203].start |
669.05721875 |
| transcript.pyannote[203].end |
671.28471875 |
| transcript.pyannote[204].speaker |
SPEAKER_01 |
| transcript.pyannote[204].start |
671.41971875 |
| transcript.pyannote[204].end |
678.28784375 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
678.60846875 |
| transcript.pyannote[205].end |
683.78909375 |
| transcript.pyannote[206].speaker |
SPEAKER_01 |
| transcript.pyannote[206].start |
683.80596875 |
| transcript.pyannote[206].end |
686.92784375 |
| transcript.pyannote[207].speaker |
SPEAKER_01 |
| transcript.pyannote[207].start |
687.28221875 |
| transcript.pyannote[207].end |
695.43284375 |
| transcript.pyannote[208].speaker |
SPEAKER_01 |
| transcript.pyannote[208].start |
696.09096875 |
| transcript.pyannote[208].end |
697.69409375 |
| transcript.pyannote[209].speaker |
SPEAKER_01 |
| transcript.pyannote[209].start |
697.81221875 |
| transcript.pyannote[209].end |
699.09471875 |
| transcript.pyannote[210].speaker |
SPEAKER_01 |
| transcript.pyannote[210].start |
699.46596875 |
| transcript.pyannote[210].end |
700.81596875 |
| transcript.pyannote[211].speaker |
SPEAKER_01 |
| transcript.pyannote[211].start |
701.08596875 |
| transcript.pyannote[211].end |
702.48659375 |
| transcript.pyannote[212].speaker |
SPEAKER_01 |
| transcript.pyannote[212].start |
703.00971875 |
| transcript.pyannote[212].end |
703.73534375 |
| transcript.pyannote[213].speaker |
SPEAKER_01 |
| transcript.pyannote[213].start |
703.97159375 |
| transcript.pyannote[213].end |
705.30471875 |
| transcript.pyannote[214].speaker |
SPEAKER_01 |
| transcript.pyannote[214].start |
706.62096875 |
| transcript.pyannote[214].end |
709.42221875 |
| transcript.pyannote[215].speaker |
SPEAKER_01 |
| transcript.pyannote[215].start |
709.82721875 |
| transcript.pyannote[215].end |
714.53534375 |
| transcript.pyannote[216].speaker |
SPEAKER_01 |
| transcript.pyannote[216].start |
714.77159375 |
| transcript.pyannote[216].end |
719.46284375 |
| transcript.pyannote[217].speaker |
SPEAKER_01 |
| transcript.pyannote[217].start |
719.98596875 |
| transcript.pyannote[217].end |
721.60596875 |
| transcript.pyannote[218].speaker |
SPEAKER_01 |
| transcript.pyannote[218].start |
721.77471875 |
| transcript.pyannote[218].end |
725.35221875 |
| transcript.pyannote[219].speaker |
SPEAKER_01 |
| transcript.pyannote[219].start |
725.72346875 |
| transcript.pyannote[219].end |
728.98034375 |
| transcript.pyannote[220].speaker |
SPEAKER_01 |
| transcript.pyannote[220].start |
729.21659375 |
| transcript.pyannote[220].end |
730.46534375 |
| transcript.pyannote[221].speaker |
SPEAKER_01 |
| transcript.pyannote[221].start |
731.34284375 |
| transcript.pyannote[221].end |
738.66659375 |
| transcript.pyannote[222].speaker |
SPEAKER_01 |
| transcript.pyannote[222].start |
738.86909375 |
| transcript.pyannote[222].end |
743.30721875 |
| transcript.pyannote[223].speaker |
SPEAKER_01 |
| transcript.pyannote[223].start |
743.77971875 |
| transcript.pyannote[223].end |
748.96034375 |
| transcript.pyannote[224].speaker |
SPEAKER_02 |
| transcript.pyannote[224].start |
748.96034375 |
| transcript.pyannote[224].end |
755.98034375 |
| transcript.pyannote[225].speaker |
SPEAKER_02 |
| transcript.pyannote[225].start |
756.36846875 |
| transcript.pyannote[225].end |
759.60846875 |
| transcript.pyannote[226].speaker |
SPEAKER_02 |
| transcript.pyannote[226].start |
759.84471875 |
| transcript.pyannote[226].end |
761.86971875 |
| transcript.pyannote[227].speaker |
SPEAKER_02 |
| transcript.pyannote[227].start |
762.03846875 |
| transcript.pyannote[227].end |
763.75971875 |
| transcript.pyannote[228].speaker |
SPEAKER_02 |
| transcript.pyannote[228].start |
763.84409375 |
| transcript.pyannote[228].end |
767.96159375 |
| transcript.pyannote[229].speaker |
SPEAKER_02 |
| transcript.pyannote[229].start |
768.34971875 |
| transcript.pyannote[229].end |
771.26909375 |
| transcript.pyannote[230].speaker |
SPEAKER_02 |
| transcript.pyannote[230].start |
771.38721875 |
| transcript.pyannote[230].end |
773.15909375 |
| transcript.pyannote[231].speaker |
SPEAKER_02 |
| transcript.pyannote[231].start |
773.44596875 |
| transcript.pyannote[231].end |
775.21784375 |
| transcript.pyannote[232].speaker |
SPEAKER_02 |
| transcript.pyannote[232].start |
775.48784375 |
| transcript.pyannote[232].end |
778.42409375 |
| transcript.pyannote[233].speaker |
SPEAKER_01 |
| transcript.pyannote[233].start |
778.42409375 |
| transcript.pyannote[233].end |
778.52534375 |
| transcript.pyannote[234].speaker |
SPEAKER_02 |
| transcript.pyannote[234].start |
778.99784375 |
| transcript.pyannote[234].end |
782.20409375 |
| transcript.pyannote[235].speaker |
SPEAKER_01 |
| transcript.pyannote[235].start |
779.09909375 |
| transcript.pyannote[235].end |
793.99971875 |
| transcript.pyannote[236].speaker |
SPEAKER_02 |
| transcript.pyannote[236].start |
786.84471875 |
| transcript.pyannote[236].end |
788.09346875 |
| transcript.pyannote[237].speaker |
SPEAKER_01 |
| transcript.pyannote[237].start |
794.59034375 |
| transcript.pyannote[237].end |
795.46784375 |
| transcript.pyannote[238].speaker |
SPEAKER_01 |
| transcript.pyannote[238].start |
795.99096875 |
| transcript.pyannote[238].end |
801.20534375 |
| transcript.pyannote[239].speaker |
SPEAKER_02 |
| transcript.pyannote[239].start |
796.14284375 |
| transcript.pyannote[239].end |
796.96971875 |
| transcript.pyannote[240].speaker |
SPEAKER_00 |
| transcript.pyannote[240].start |
796.96971875 |
| transcript.pyannote[240].end |
797.03721875 |
| transcript.pyannote[241].speaker |
SPEAKER_00 |
| transcript.pyannote[241].start |
797.42534375 |
| transcript.pyannote[241].end |
798.20159375 |
| transcript.pyannote[242].speaker |
SPEAKER_02 |
| transcript.pyannote[242].start |
798.20159375 |
| transcript.pyannote[242].end |
799.61909375 |
| transcript.pyannote[243].speaker |
SPEAKER_00 |
| transcript.pyannote[243].start |
799.61909375 |
| transcript.pyannote[243].end |
799.65284375 |
| transcript.pyannote[244].speaker |
SPEAKER_01 |
| transcript.pyannote[244].start |
801.89721875 |
| transcript.pyannote[244].end |
806.80784375 |
| transcript.pyannote[245].speaker |
SPEAKER_01 |
| transcript.pyannote[245].start |
807.21284375 |
| transcript.pyannote[245].end |
835.02284375 |
| transcript.pyannote[246].speaker |
SPEAKER_00 |
| transcript.pyannote[246].start |
817.06784375 |
| transcript.pyannote[246].end |
817.27034375 |
| transcript.pyannote[247].speaker |
SPEAKER_02 |
| transcript.pyannote[247].start |
830.50034375 |
| transcript.pyannote[247].end |
830.98971875 |
| transcript.pyannote[248].speaker |
SPEAKER_01 |
| transcript.pyannote[248].start |
835.59659375 |
| transcript.pyannote[248].end |
843.57846875 |
| transcript.pyannote[249].speaker |
SPEAKER_01 |
| transcript.pyannote[249].start |
843.84846875 |
| transcript.pyannote[249].end |
846.61596875 |
| transcript.pyannote[250].speaker |
SPEAKER_01 |
| transcript.pyannote[250].start |
847.13909375 |
| transcript.pyannote[250].end |
852.64034375 |
| transcript.pyannote[251].speaker |
SPEAKER_02 |
| transcript.pyannote[251].start |
852.64034375 |
| transcript.pyannote[251].end |
853.06221875 |
| transcript.pyannote[252].speaker |
SPEAKER_01 |
| transcript.pyannote[252].start |
853.29846875 |
| transcript.pyannote[252].end |
854.00721875 |
| transcript.pyannote[253].speaker |
SPEAKER_01 |
| transcript.pyannote[253].start |
854.68221875 |
| transcript.pyannote[253].end |
864.75659375 |
| transcript.pyannote[254].speaker |
SPEAKER_01 |
| transcript.pyannote[254].start |
864.82409375 |
| transcript.pyannote[254].end |
868.63784375 |
| transcript.pyannote[255].speaker |
SPEAKER_01 |
| transcript.pyannote[255].start |
868.97534375 |
| transcript.pyannote[255].end |
879.96096875 |
| transcript.pyannote[256].speaker |
SPEAKER_01 |
| transcript.pyannote[256].start |
880.73721875 |
| transcript.pyannote[256].end |
891.09846875 |
| transcript.pyannote[257].speaker |
SPEAKER_01 |
| transcript.pyannote[257].start |
891.92534375 |
| transcript.pyannote[257].end |
893.12346875 |
| transcript.pyannote[258].speaker |
SPEAKER_02 |
| transcript.pyannote[258].start |
891.97596875 |
| transcript.pyannote[258].end |
892.39784375 |
| transcript.pyannote[259].speaker |
SPEAKER_02 |
| transcript.pyannote[259].start |
893.34284375 |
| transcript.pyannote[259].end |
896.49846875 |
| transcript.pyannote[260].speaker |
SPEAKER_02 |
| transcript.pyannote[260].start |
896.76846875 |
| transcript.pyannote[260].end |
900.97034375 |
| transcript.pyannote[261].speaker |
SPEAKER_00 |
| transcript.pyannote[261].start |
899.73846875 |
| transcript.pyannote[261].end |
899.78909375 |
| transcript.pyannote[262].speaker |
SPEAKER_01 |
| transcript.pyannote[262].start |
899.78909375 |
| transcript.pyannote[262].end |
900.29534375 |
| transcript.pyannote[263].speaker |
SPEAKER_02 |
| transcript.pyannote[263].start |
901.34159375 |
| transcript.pyannote[263].end |
902.87721875 |
| transcript.pyannote[264].speaker |
SPEAKER_02 |
| transcript.pyannote[264].start |
903.13034375 |
| transcript.pyannote[264].end |
904.21034375 |
| transcript.pyannote[265].speaker |
SPEAKER_02 |
| transcript.pyannote[265].start |
904.48034375 |
| transcript.pyannote[265].end |
912.93471875 |
| transcript.pyannote[266].speaker |
SPEAKER_01 |
| transcript.pyannote[266].start |
908.93534375 |
| transcript.pyannote[266].end |
910.96034375 |
| transcript.pyannote[267].speaker |
SPEAKER_01 |
| transcript.pyannote[267].start |
912.93471875 |
| transcript.pyannote[267].end |
918.63846875 |
| transcript.pyannote[268].speaker |
SPEAKER_02 |
| transcript.pyannote[268].start |
912.95159375 |
| transcript.pyannote[268].end |
914.14971875 |
| transcript.pyannote[269].speaker |
SPEAKER_02 |
| transcript.pyannote[269].start |
914.40284375 |
| transcript.pyannote[269].end |
915.11159375 |
| transcript.pyannote[270].speaker |
SPEAKER_01 |
| transcript.pyannote[270].start |
919.95471875 |
| transcript.pyannote[270].end |
925.67534375 |
| transcript.pyannote[271].speaker |
SPEAKER_01 |
| transcript.pyannote[271].start |
925.75971875 |
| transcript.pyannote[271].end |
931.09221875 |
| transcript.pyannote[272].speaker |
SPEAKER_01 |
| transcript.pyannote[272].start |
932.49284375 |
| transcript.pyannote[272].end |
933.97784375 |
| transcript.pyannote[273].speaker |
SPEAKER_02 |
| transcript.pyannote[273].start |
933.97784375 |
| transcript.pyannote[273].end |
934.21409375 |
| transcript.whisperx[0].start |
10.549 |
| transcript.whisperx[0].end |
36.77 |
| transcript.whisperx[0].text |
謝院長麻煩經濟部長跟院長再請總院長經濟部長備詢今天最後一個口頭了本期今天要提出一個問題其實是經濟但是會影響國安它是一個基本的產業的數學問題 |
| transcript.whisperx[1].start |
38.729 |
| transcript.whisperx[1].end |
63.482 |
| transcript.whisperx[1].text |
我期待在卓院長跟部長的任內可以提早把這個地雷拆掉造船業對台灣來講是一個很特殊的行業我們的成本比人家貴然後我們用國建國造公務船自己造讓我們國內主要的造船業者可以撐著這個量能我待會把營收比給兩位看 |
| transcript.whisperx[2].start |
64.704 |
| transcript.whisperx[2].end |
87.64 |
| transcript.whisperx[2].text |
那我們現在不管是在軍艦、海巡艦或者公務船、海撤船等等那個造艦計畫是有個其成的但本席待會告訴兩位根據我們計算出來的數據在2028年沒有很久以後在2028年你就算想要國艦國造發報不出去了造艦量能不夠 |
| transcript.whisperx[3].start |
88.803 |
| transcript.whisperx[3].end |
113.297 |
| transcript.whisperx[3].text |
你又不可能委外而那個時候我們不管是國防特別預算防衛任性預算 年度預算到時候要造建沒有人可以幫你造的時候我們會陷入很難解決的困境我相信卓院長到時候還是院長因為也沒地方可以高升啦繼續做但這個問題你要現在解決我第一個給各位講這是個很弔詭的問題我們 |
| transcript.whisperx[4].start |
116.133 |
| transcript.whisperx[4].end |
126.799 |
| transcript.whisperx[4].text |
這一個國建國造的第一批專案呢在2026年會結案那結案的應該後面就沒有量了沒有 他這個結案之後後面要開始造一艘一艘這樣造 |
| transcript.whisperx[5].start |
127.967 |
| transcript.whisperx[5].end |
151.558 |
| transcript.whisperx[5].text |
那在這個結案之前我們統計我們台灣主要三個大型的造船廠台船它的營收比有60%來自於國艦國造中信85%隆德58%好這個提供給兩位做參考也就是在現在台灣的造船業它主要的營收是靠工部門的訂單 |
| transcript.whisperx[6].start |
153.237 |
| transcript.whisperx[6].end |
157.513 |
| transcript.whisperx[6].text |
可是我們的成本你如果看最重要的材料鋼板 |
| transcript.whisperx[7].start |
158.976 |
| transcript.whisperx[7].end |
175.66 |
| transcript.whisperx[7].text |
我們的鋼板現在全世界鋼板因為中國的產量過剩所以有一個叫做鋼板的成本回落紅利這個鋼板成本回落紅利呢國際從2021年開始它每一噸827塊美元現在跌到2025年的481塊美元這是國際的價格但是我們台灣的鋼價呢 |
| transcript.whisperx[8].start |
187.797 |
| transcript.whisperx[8].end |
207.159 |
| transcript.whisperx[8].text |
變成結構性的脫鉤我們現在每噸是1062美元也就是我們國內的鋼板鋼材跟國際的價格呢貴了一倍以上所以成本很高加上我們如果是商船的國造艦商船的話我們大概自製的能量是40% |
| transcript.whisperx[9].start |
208.641 |
| transcript.whisperx[9].end |
230.323 |
| transcript.whisperx[9].text |
如果是軍艦軍規的或海巡的我們國造的能量大概是20%剩下的這些重要的裝備儀器其實是控制在國外的廠商我們國內有點像是廉價的組裝廠所以成本壓不下來然後我的獲利主要是來自於國內的國艦國造第三個數據 |
| transcript.whisperx[10].start |
233.551 |
| transcript.whisperx[10].end |
251.191 |
| transcript.whisperx[10].text |
從2023年以台灣的造船業的產業的產值做基礎就算他願意投資每年加5%一直加我們就算出我們需要造艦的頓速產值頓速那跟我們造船業的量能每一年加5%從2023一直加上來 |
| transcript.whisperx[11].start |
253.649 |
| transcript.whisperx[11].end |
267.362 |
| transcript.whisperx[11].text |
就有一個圖表這個院長跟部長可以看在2028年就會產生一個國建國造公務船國造的建造缺口有一塊在那裡那你說為什麼有這個缺口 |
| transcript.whisperx[12].start |
268.902 |
| transcript.whisperx[12].end |
292.756 |
| transcript.whisperx[12].text |
他沒辦法再投資 他是靠這個他如果再投資更大的話他跟國際沒有競爭的優勢那我靠國內的國艦國造這三大造船廠我再加大投資 我不會合啊 我沒有未來啊所以在2028年我們就算預算編了你發包下去 國內的造船業接不了單他緊繃了啦 吃飽了 撐住了 |
| transcript.whisperx[13].start |
294.497 |
| transcript.whisperx[13].end |
320.51 |
| transcript.whisperx[13].text |
那接下來就是我們的院長這邊是不是要開國計標我們不可能讓中國幫我們造軍艦所以這一個建造的缺口即將在2027年底2028年出現然後這一個缺口不僅僅是產業的缺口他可能也會形成國安風險的缺口必須現在開始來因應我先請教部長這個問題我相信你 |
| transcript.whisperx[14].start |
324.192 |
| transcript.whisperx[14].end |
348.371 |
| transcript.whisperx[14].text |
經濟各部會你都流過了這個問題有沒有發現就是說現在看起來你剛才看到那個營收EPS現在台船我們可能還要經過一段時間怎麼樣讓他負擔他現在負擔很重沒有錯但是就是說負債也很高對但是榮德跟 |
| transcript.whisperx[15].start |
351.353 |
| transcript.whisperx[15].end |
374.732 |
| transcript.whisperx[15].text |
我現在不是在管這三家會賺不賺錢我現在提的問題是 院長跟部長 這個經濟部統轄的在2028年現在不管是國防特別預算 防衛預算 或者年度預算我要造艦啊 國艦國造啊 公務船啊 海巡艦當你要發包的時候 三大造船廠的capacity你把它一算 接不了 |
| transcript.whisperx[16].start |
375.802 |
| transcript.whisperx[16].end |
399.23 |
| transcript.whisperx[16].text |
怎麼辦?是,我原看到一個產業跟國安的一個重大問題那我們的海巡造了很多艦坦白講,海巡造艦,付錢比海軍阿沙尼他們在國內造的很多,這個會陸續,我也會來交艦但是除了造國艦的海巡、海軍的艦艇之外我們造了很多特殊的艦,包括台 |
| transcript.whisperx[17].start |
400.31 |
| transcript.whisperx[17].end |
428.786 |
| transcript.whisperx[17].text |
台船他造了很多原型艦就沒有後續的第二部 第三部潛艦啊 玉山艦啊等等還有很多研究的這個原型艦他沒有辦法做後續的這個市場開發這是問題不過我倒是看到我們國內的三大航運公司啊目前還是在國外造艦表示我們自己的量能是不夠的那個卓院長某某大航運公司在巴拿馬稱過王的他的貨櫃輪是交給韓國做啊是 |
| transcript.whisperx[18].start |
429.755 |
| transcript.whisperx[18].end |
436.012 |
| transcript.whisperx[18].text |
你不能怪他啊價格差很多啊所以我剛才把這三個其實我整個報表不只三個我時間的問題 |
| transcript.whisperx[19].start |
437.679 |
| transcript.whisperx[19].end |
459.718 |
| transcript.whisperx[19].text |
我們國內的造船業成本比人家貴我60%到80%那些儀器靠國外價格我自己不能控制然後呢我現在靠國建國造撐著讓我營收佔了60%到80%是靠它撐著那我撐著就撐著我就算每年增加5%算很有良心的我不可能再增加一倍兩倍的產線嘛 |
| transcript.whisperx[20].start |
461.107 |
| transcript.whisperx[20].end |
489.736 |
| transcript.whisperx[20].text |
可是我們現在造艦的量能是有計畫性的海軍的造艦計畫不管是六大造艦計畫或幾大造艦計畫或海巡的造艦計畫那個頓速算得出來我就用那個頓速去除這個才算出這個缺口我現在的問題是這個缺口即將產生一年多以後我們該怎麼辦我提供一些我今天不是來考試而是說這個問題要解決他山之石啦看一下各國的各國的方式 |
| transcript.whisperx[21].start |
490.703 |
| transcript.whisperx[21].end |
512.355 |
| transcript.whisperx[21].text |
像在主要的造船國台灣、中國、韓國、日本、新加坡、印尼、土耳其這些都有在造船那有五種做法一種叫直接造船補貼那中國有這麼做那其他這個N、A就是不適用其他國家不必有然後呢融資跟這個付稅優惠中國、韓國有 |
| transcript.whisperx[22].start |
515.857 |
| transcript.whisperx[22].end |
532.572 |
| transcript.whisperx[22].text |
研發補貼日本韓國有然後船廠的設備補貼韓國日本印度土耳其有然後國艦國造也就是公務船國造幾乎都有除了新加坡因為新加坡的附體比較小 |
| transcript.whisperx[23].start |
534.553 |
| transcript.whisperx[23].end |
559.903 |
| transcript.whisperx[23].text |
幾乎所有的造船國都有 所以台灣只有這一塊有其他不管是研發補貼 船廠補貼 設備補貼 融資 稅賦等等我們大概都沒有所以這個做法我不是說我們一定要完全採用因為像中國採取的這個稅賦啦 跟直接補貼這一個美國301調查現在在查他啦搞不好會被罰很重 他也不怕因為他佔了造船量能很大的比例啦所以這五個做法 |
| transcript.whisperx[24].start |
560.763 |
| transcript.whisperx[24].end |
573.761 |
| transcript.whisperx[24].text |
部長我們部裡面有沒有討論過針對台灣的造船業如果是講剛剛您提到的國建國造這個訂單嘛然後另外照理說研發補貼我們一直有這樣的方案 |
| transcript.whisperx[25].start |
574.803 |
| transcript.whisperx[25].end |
592.982 |
| transcript.whisperx[25].text |
那我再回去看看他們有沒有提什麼樣的研發計畫研發是有可以補貼的我再強調一次我今天第一次把問題提出來解決能力是在行政部門我不是來考試因為這是一個問題這個問題其實在海軍在造船界已經挨著顧了 |
| transcript.whisperx[26].start |
593.883 |
| transcript.whisperx[26].end |
618.765 |
| transcript.whisperx[26].text |
一直沒有得到解方然後我明明看到時間滴答滴答越來越靠近2028又到了所以你看剛才部長提的很對我們在國建國造其實我們國家有相關的補貼國建國造提供了產業的誘因就像我們現在在無人機希望有國家的訂單促進產業的誘因對不對我今天提到的問題是當國家提出產業的誘因業界接不了單造船業是這樣子 |
| transcript.whisperx[27].start |
619.466 |
| transcript.whisperx[27].end |
637.14 |
| transcript.whisperx[27].text |
無人機會不會這樣子我們以後再談所以第二個表格給兩位看有關公務船國造也就是國艦國造的部分其實你看第一排就好了各國都是統籌中國由中央軍委會裝備發展部 |
| transcript.whisperx[28].start |
641.454 |
| transcript.whisperx[28].end |
660.659 |
| transcript.whisperx[28].text |
韓國是DAPA是他們的防衛事業廳日本呢跟台灣一樣新加坡呢是DSTA然後印尼呢是KKIP土耳其是SSB就是說這些國家都有一個統籌單位做什麼事情呢對我知道你造船造不出來或者你造船做黑咖喝坦軍艦 |
| transcript.whisperx[29].start |
663.1 |
| transcript.whisperx[29].end |
686.618 |
| transcript.whisperx[29].text |
海軍付錢比較慢海巡付錢比較阿沙里他不讓你這樣做他有一個國家的統籌機制調度資源分配優先順序有什麼意思嗎就是說在其他各國推動國艦國造帶動需求的時候他會有一個統籌單位把他們國家內部的造船量能 |
| transcript.whisperx[30].start |
687.398 |
| transcript.whisperx[30].end |
704.769 |
| transcript.whisperx[30].text |
造船支援我們國家公廠的誘因做統籌的分配跟引導讓最需要的艦先造不好你讓他自由選擇都會造容易造的好勤款的驗收不麻煩的傻瓜被逼著才去造潛艦 |
| transcript.whisperx[31].start |
706.826 |
| transcript.whisperx[31].end |
730.188 |
| transcript.whisperx[31].text |
被逼的才會去造潛艦預算前景未明立法院也不見得給你然後造了原型艦後面有沒有不知道我不如多造一些這一個三千噸級的安平級的艦那個很穩定藍圖很簡單所以我們目前台灣跟日本可是日本外購也容易日本他們的造船業有數百年的歷史我們的體質不太一樣 |
| transcript.whisperx[32].start |
731.369 |
| transcript.whisperx[32].end |
748.796 |
| transcript.whisperx[32].text |
台灣大概是這幾個主要造船國沒有針對公務船國艦國造統籌單位分配資源決定優先數據我們大概是唯一扣掉日本的話所以就以上這個部分是不是請院長做個統一的回答 |
| transcript.whisperx[33].start |
749.076 |
| transcript.whisperx[33].end |
778.316 |
| transcript.whisperx[33].text |
非常謝謝委員提出這個想法我想國建國造的這個政策跟這個做法我們一定會持續下去的這是國家安全國家國防能力的問題那在這個量能如果足夠的時候我們如何讓我們的國內的其他行商也能回到國內來造建這是第二個問題那第一個剛剛談到的國建國造的過程當中委員所提出的這個建議非常好我覺得我們應該有個統籌的機制把這個當作一個大市場來看而不是把它 |
| transcript.whisperx[34].start |
779.076 |
| transcript.whisperx[34].end |
800.825 |
| transcript.whisperx[34].text |
所以我還有一題地方的題目這一題我們是不是可以期待半年內可以看到你們回復本行好我們來檢討這樣的機制那其實你要國外的船商或者我們的國家的國籍的船訂單留在國內你的成本我們就有一些研發然後再來通通丟給國內做我就告訴你根本做不出來 |
| transcript.whisperx[35].start |
801.94 |
| transcript.whisperx[35].end |
821.61 |
| transcript.whisperx[35].text |
光國建國造到2028年就有問題所以這兩個問題其實很有意思看起來有訂單你為什麼不做咧你東西比較貴量衝單應該降下來這是互相咬住的所以請院長跟部長年底以前我不給你什麼一個月兩個月因為這是很大的問題年底以前有提出解決方案那我們2027年就可以檢驗 |
| transcript.whisperx[36].start |
822.91 |
| transcript.whisperx[36].end |
830.614 |
| transcript.whisperx[36].text |
2028年就可以舒緩或者優先順序排出來這幾種延後這幾種優先這個是我今天質詢這一題它既是經濟議題也是國安議題啦接下來我要請教一個很簡單的題目 |
| transcript.whisperx[37].start |
836.463 |
| transcript.whisperx[37].end |
853.71 |
| transcript.whisperx[37].text |
最近台南市政府撤回了在內政部國土計畫審議會議裡面針對沙崙農場國土功能分區調整案撤回了城鄉發展地區第二之三類的調整案然後呢 |
| transcript.whisperx[38].start |
854.935 |
| transcript.whisperx[38].end |
878.463 |
| transcript.whisperx[38].text |
這一個台南市政府還補充說撤回這個案子的時候呢等國科會相關計畫走完之後再依據整體評估進行發展定位外地人可能不了解在地人就知道這個題目很重要為什麼這攸關著原來的沙崙健康園區沙崙生態科學園區也就是南科四期AI半導體的發展所以我這個題目就一題問院長 |
| transcript.whisperx[39].start |
880.785 |
| transcript.whisperx[39].end |
890.767 |
| transcript.whisperx[39].text |
那對於目前行政院跟賴清德總統致力將歸人沙輪建構為AI跟先進半導體的生產製造中心的目標跟其成是否有改變 |
| transcript.whisperx[40].start |
892.237 |
| transcript.whisperx[40].end |
918.303 |
| transcript.whisperx[40].text |
這個撤回會不會影響?跟委員報告今天這裡結束質詢之後我們回去院內就要討論到這個相關的問題我再把結論跟委員做說明會不會改變?我們希望已經訂定的目標期程要克服現在當地所有的一些生態等等的問題當然有很多問題在生態確保無虞然後發展這個這個是我們的共識所以它叫生態園區嘛我們就是要解決這個問題去克服它們所以台南市政府撤回並不代表這個案子不見了 |
| transcript.whisperx[41].start |
919.994 |
| transcript.whisperx[41].end |
933.664 |
| transcript.whisperx[41].text |
我們等一下會把它討論好好 這個我們地方非常關切因為這個案子衍生出來的那四大項的交通建設現在兩兩合併我也希望盡快看到院裡面可以核定下來好 謝謝王定宇委員 |