IVOD_ID |
163813 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163813 |
日期 |
2025-10-03 |
會議資料.會議代碼 |
院會-11-4-3 |
會議資料.會議代碼:str |
第11屆第4會期第3次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
4 |
會議資料.會次 |
3 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第4會期第3次會議 |
影片種類 |
Clip |
開始時間 |
2025-10-03T16:37:58+08:00 |
結束時間 |
2025-10-03T16:53:25+08:00 |
影片長度 |
00:15:27 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/095f1cfadbf5b890ee05c2f12f24372a704543300bdabf028d97010e5f6ab85c5195ddf4f073bf875ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
洪孟楷 |
委員發言時間 |
16:37:58 - 16:53:25 |
會議時間 |
2025-10-03T09:00:00+08:00 |
會議名稱 |
第11屆第4會期第3次會議(事由:一、行政院院長、主計長、財政部部長、經濟部部長及相關部會首長列席報告「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案」編製經過並備質詢(10月3日)。二、對行政院院長施政報告繼續質詢(10月7日)。三、10月3日上午9時至10時為國是論壇時間。四、10月7日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
4.58721875 |
transcript.pyannote[0].end |
7.05096875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
7.10159375 |
transcript.pyannote[1].end |
8.45159375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
20.56784375 |
transcript.pyannote[2].end |
29.03909375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
29.34284375 |
transcript.pyannote[3].end |
33.84846875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
33.93284375 |
transcript.pyannote[4].end |
39.07971875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
39.72096875 |
transcript.pyannote[5].end |
46.48784375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
47.26409375 |
transcript.pyannote[6].end |
55.06034375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
55.27971875 |
transcript.pyannote[7].end |
58.08096875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
58.28346875 |
transcript.pyannote[8].end |
59.88659375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
60.08909375 |
transcript.pyannote[9].end |
75.02346875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
75.49596875 |
transcript.pyannote[10].end |
81.87471875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
83.56221875 |
transcript.pyannote[11].end |
86.19471875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
85.26659375 |
transcript.pyannote[12].end |
85.99221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
86.59971875 |
transcript.pyannote[13].end |
95.67846875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
86.70096875 |
transcript.pyannote[14].end |
87.83159375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
92.89409375 |
transcript.pyannote[15].end |
94.59846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
95.42534375 |
transcript.pyannote[16].end |
95.45909375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
95.45909375 |
transcript.pyannote[17].end |
97.61909375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
97.80471875 |
transcript.pyannote[18].end |
98.22659375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
98.36159375 |
transcript.pyannote[19].end |
100.13346875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
100.13346875 |
transcript.pyannote[20].end |
112.97534375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
102.39471875 |
transcript.pyannote[21].end |
102.86721875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
104.28471875 |
transcript.pyannote[22].end |
105.98909375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
106.90034375 |
transcript.pyannote[23].end |
108.70596875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
112.97534375 |
transcript.pyannote[24].end |
113.02596875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
113.93721875 |
transcript.pyannote[25].end |
118.15596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
118.54409375 |
transcript.pyannote[26].end |
118.56096875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
118.56096875 |
transcript.pyannote[27].end |
119.99534375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
120.33284375 |
transcript.pyannote[28].end |
121.96971875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
121.09221875 |
transcript.pyannote[29].end |
121.78409375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
121.96971875 |
transcript.pyannote[30].end |
122.66159375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
122.66159375 |
transcript.pyannote[31].end |
123.87659375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
123.87659375 |
transcript.pyannote[32].end |
126.74534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
127.08284375 |
transcript.pyannote[33].end |
129.15846875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
129.34409375 |
transcript.pyannote[34].end |
144.19409375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
145.15596875 |
transcript.pyannote[35].end |
146.33721875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
146.60721875 |
transcript.pyannote[36].end |
148.59846875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
148.85159375 |
transcript.pyannote[37].end |
162.23346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
162.35159375 |
transcript.pyannote[38].end |
166.19909375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
166.75596875 |
transcript.pyannote[39].end |
175.21034375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
167.05971875 |
transcript.pyannote[40].end |
167.41409375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
175.75034375 |
transcript.pyannote[41].end |
182.19659375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
181.09971875 |
transcript.pyannote[42].end |
187.42784375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
185.70659375 |
transcript.pyannote[43].end |
189.06471875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
187.86659375 |
transcript.pyannote[44].end |
191.27534375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
192.32159375 |
transcript.pyannote[45].end |
208.18409375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
193.09784375 |
transcript.pyannote[46].end |
200.33721875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
204.53909375 |
transcript.pyannote[47].end |
205.38284375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
206.51346875 |
transcript.pyannote[48].end |
207.08721875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
207.77909375 |
transcript.pyannote[49].end |
223.05096875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
223.82721875 |
transcript.pyannote[50].end |
227.84346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
228.07971875 |
transcript.pyannote[51].end |
234.20534375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
234.62721875 |
transcript.pyannote[52].end |
234.79596875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
234.79596875 |
transcript.pyannote[53].end |
239.14971875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
234.94784375 |
transcript.pyannote[54].end |
235.03221875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
238.08659375 |
transcript.pyannote[55].end |
241.10721875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
240.41534375 |
transcript.pyannote[56].end |
244.34721875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
244.38096875 |
transcript.pyannote[57].end |
246.16971875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
245.19096875 |
transcript.pyannote[58].end |
251.77221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
251.04659375 |
transcript.pyannote[59].end |
256.02471875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
255.90659375 |
transcript.pyannote[60].end |
255.92346875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
256.02471875 |
transcript.pyannote[61].end |
257.47596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
256.09221875 |
transcript.pyannote[62].end |
257.32409375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
257.47596875 |
transcript.pyannote[63].end |
257.96534375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
257.96534375 |
transcript.pyannote[64].end |
263.80409375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
262.94346875 |
transcript.pyannote[65].end |
284.00346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
271.60034375 |
transcript.pyannote[66].end |
271.97159375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
271.97159375 |
transcript.pyannote[67].end |
272.69721875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
276.76409375 |
transcript.pyannote[68].end |
276.78096875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
276.78096875 |
transcript.pyannote[69].end |
277.21971875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
282.36659375 |
transcript.pyannote[70].end |
294.09471875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
284.45909375 |
transcript.pyannote[71].end |
286.33221875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
287.17596875 |
transcript.pyannote[72].end |
288.37409375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
294.80346875 |
transcript.pyannote[73].end |
306.21096875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
307.03784375 |
transcript.pyannote[74].end |
309.85596875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
309.85596875 |
transcript.pyannote[75].end |
309.87284375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
310.59846875 |
transcript.pyannote[76].end |
316.15034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
314.42909375 |
transcript.pyannote[77].end |
320.47034375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
322.12409375 |
transcript.pyannote[78].end |
323.23784375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
323.52471875 |
transcript.pyannote[79].end |
328.19909375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
328.24971875 |
transcript.pyannote[80].end |
331.23659375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
332.09721875 |
transcript.pyannote[81].end |
333.31221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
333.36284375 |
transcript.pyannote[82].end |
335.50596875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
336.43409375 |
transcript.pyannote[83].end |
342.03659375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
342.32346875 |
transcript.pyannote[84].end |
351.89159375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
351.94221875 |
transcript.pyannote[85].end |
359.51909375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
361.20659375 |
transcript.pyannote[86].end |
367.02846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
361.34159375 |
transcript.pyannote[87].end |
361.99971875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
362.89409375 |
transcript.pyannote[88].end |
365.42534375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
367.02846875 |
transcript.pyannote[89].end |
376.07346875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
368.24346875 |
transcript.pyannote[90].end |
368.69909375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
376.32659375 |
transcript.pyannote[91].end |
377.55846875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
376.46159375 |
transcript.pyannote[92].end |
379.33034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
378.11534375 |
transcript.pyannote[93].end |
379.73534375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
379.88721875 |
transcript.pyannote[94].end |
380.49471875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
380.81534375 |
transcript.pyannote[95].end |
389.59034375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
390.23159375 |
transcript.pyannote[96].end |
391.85159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
393.10034375 |
transcript.pyannote[97].end |
393.52221875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
393.30284375 |
transcript.pyannote[98].end |
394.09596875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
394.09596875 |
transcript.pyannote[99].end |
399.91784375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
400.35659375 |
transcript.pyannote[100].end |
402.26346875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
402.58409375 |
transcript.pyannote[101].end |
404.13659375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
404.76096875 |
transcript.pyannote[102].end |
410.70096875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
410.27909375 |
transcript.pyannote[103].end |
413.48534375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
412.96221875 |
transcript.pyannote[104].end |
413.46846875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
413.48534375 |
transcript.pyannote[105].end |
413.51909375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
413.51909375 |
transcript.pyannote[106].end |
416.53971875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
416.84346875 |
transcript.pyannote[107].end |
421.29846875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
421.77096875 |
transcript.pyannote[108].end |
432.77346875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
433.34721875 |
transcript.pyannote[109].end |
440.75534375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
441.39659375 |
transcript.pyannote[110].end |
445.91909375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
446.20596875 |
transcript.pyannote[111].end |
453.04034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
453.44534375 |
transcript.pyannote[112].end |
457.76534375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
458.05221875 |
transcript.pyannote[113].end |
460.46534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
460.80284375 |
transcript.pyannote[114].end |
467.04659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
467.33346875 |
transcript.pyannote[115].end |
469.47659375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
470.16846875 |
transcript.pyannote[116].end |
472.15971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
470.37096875 |
transcript.pyannote[117].end |
478.03221875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
478.03221875 |
transcript.pyannote[118].end |
479.93909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
480.24284375 |
transcript.pyannote[119].end |
482.14971875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
482.68971875 |
transcript.pyannote[120].end |
485.50784375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
485.69346875 |
transcript.pyannote[121].end |
486.62159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
487.22909375 |
transcript.pyannote[122].end |
488.96721875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
488.96721875 |
transcript.pyannote[123].end |
491.19471875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
490.43534375 |
transcript.pyannote[124].end |
491.24534375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
491.24534375 |
transcript.pyannote[125].end |
491.27909375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
491.27909375 |
transcript.pyannote[126].end |
491.31284375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
491.31284375 |
transcript.pyannote[127].end |
491.71784375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
491.71784375 |
transcript.pyannote[128].end |
492.67971875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
491.73471875 |
transcript.pyannote[129].end |
493.45596875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
494.14784375 |
transcript.pyannote[130].end |
495.56534375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
496.02096875 |
transcript.pyannote[131].end |
514.65096875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
515.51159375 |
transcript.pyannote[132].end |
518.32971875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
518.48159375 |
transcript.pyannote[133].end |
520.48971875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
520.84409375 |
transcript.pyannote[134].end |
535.69409375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
526.04159375 |
transcript.pyannote[135].end |
527.61096875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
529.80471875 |
transcript.pyannote[136].end |
530.56409375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
531.44159375 |
transcript.pyannote[137].end |
533.56784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
535.84596875 |
transcript.pyannote[138].end |
543.33846875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
538.05659375 |
transcript.pyannote[139].end |
538.46159375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
539.45721875 |
transcript.pyannote[140].end |
539.81159375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
540.60471875 |
transcript.pyannote[141].end |
541.80284375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
541.92096875 |
transcript.pyannote[142].end |
548.56971875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
543.38909375 |
transcript.pyannote[143].end |
543.40596875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
549.09284375 |
transcript.pyannote[144].end |
550.32471875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
550.54409375 |
transcript.pyannote[145].end |
551.23596875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
551.26971875 |
transcript.pyannote[146].end |
558.88034375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
559.09971875 |
transcript.pyannote[147].end |
564.78659375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
565.07346875 |
transcript.pyannote[148].end |
570.28784375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
571.63784375 |
transcript.pyannote[149].end |
576.88596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
577.34159375 |
transcript.pyannote[150].end |
581.23971875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
582.18471875 |
transcript.pyannote[151].end |
582.75846875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
583.07909375 |
transcript.pyannote[152].end |
585.57659375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
585.08721875 |
transcript.pyannote[153].end |
586.90971875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
587.33159375 |
transcript.pyannote[154].end |
587.78721875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
588.04034375 |
transcript.pyannote[155].end |
596.42721875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
588.61409375 |
transcript.pyannote[156].end |
589.03596875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
597.00096875 |
transcript.pyannote[157].end |
597.87846875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
597.92909375 |
transcript.pyannote[158].end |
601.20284375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
602.28284375 |
transcript.pyannote[159].end |
604.96596875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
605.28659375 |
transcript.pyannote[160].end |
605.32034375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
605.32034375 |
transcript.pyannote[161].end |
606.50159375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
606.50159375 |
transcript.pyannote[162].end |
606.73784375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
607.22721875 |
transcript.pyannote[163].end |
607.91909375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
607.91909375 |
transcript.pyannote[164].end |
607.93596875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
607.93596875 |
transcript.pyannote[165].end |
607.96971875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
607.96971875 |
transcript.pyannote[166].end |
612.37409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
609.23534375 |
transcript.pyannote[167].end |
609.57284375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
612.69471875 |
transcript.pyannote[168].end |
616.05284375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
612.84659375 |
transcript.pyannote[169].end |
613.80846875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
615.09096875 |
transcript.pyannote[170].end |
624.22034375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
623.10659375 |
transcript.pyannote[171].end |
626.26221875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
626.26221875 |
transcript.pyannote[172].end |
626.53221875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
626.53221875 |
transcript.pyannote[173].end |
626.70096875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
626.70096875 |
transcript.pyannote[174].end |
626.95409375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
626.95409375 |
transcript.pyannote[175].end |
627.03846875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
627.03846875 |
transcript.pyannote[176].end |
627.25784375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
627.25784375 |
transcript.pyannote[177].end |
627.51096875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
627.51096875 |
transcript.pyannote[178].end |
627.57846875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
627.57846875 |
transcript.pyannote[179].end |
627.67971875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
627.67971875 |
transcript.pyannote[180].end |
628.28721875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
628.28721875 |
transcript.pyannote[181].end |
629.23221875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
628.33784375 |
transcript.pyannote[182].end |
628.74284375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
629.46846875 |
transcript.pyannote[183].end |
633.56909375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
634.21034375 |
transcript.pyannote[184].end |
641.04471875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
641.55096875 |
transcript.pyannote[185].end |
644.18346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
644.48721875 |
transcript.pyannote[186].end |
650.74784375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
647.76096875 |
transcript.pyannote[187].end |
654.83159375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
656.18159375 |
transcript.pyannote[188].end |
656.48534375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
657.78471875 |
transcript.pyannote[189].end |
664.09596875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
658.98284375 |
transcript.pyannote[190].end |
660.60284375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
662.91471875 |
transcript.pyannote[191].end |
663.91034375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
665.58096875 |
transcript.pyannote[192].end |
666.08721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
667.11659375 |
transcript.pyannote[193].end |
668.19659375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
668.65221875 |
transcript.pyannote[194].end |
671.06534375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
671.58846875 |
transcript.pyannote[195].end |
674.81159375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
675.08159375 |
transcript.pyannote[196].end |
684.76784375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
684.76784375 |
transcript.pyannote[197].end |
686.96159375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
684.78471875 |
transcript.pyannote[198].end |
685.07159375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
687.33284375 |
transcript.pyannote[199].end |
692.10846875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
692.10846875 |
transcript.pyannote[200].end |
692.63159375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
692.71596875 |
transcript.pyannote[201].end |
692.73284375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
692.73284375 |
transcript.pyannote[202].end |
702.11534375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
702.75659375 |
transcript.pyannote[203].end |
708.93284375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
709.48971875 |
transcript.pyannote[204].end |
709.52346875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
709.52346875 |
transcript.pyannote[205].end |
709.82721875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
709.82721875 |
transcript.pyannote[206].end |
724.55909375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
709.94534375 |
transcript.pyannote[207].end |
710.16471875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
717.43784375 |
transcript.pyannote[208].end |
717.70784375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
720.03659375 |
transcript.pyannote[209].end |
720.86346875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
724.74471875 |
transcript.pyannote[210].end |
724.76159375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
724.76159375 |
transcript.pyannote[211].end |
726.88784375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
727.37721875 |
transcript.pyannote[212].end |
729.08159375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
729.80721875 |
transcript.pyannote[213].end |
733.09784375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
732.52409375 |
transcript.pyannote[214].end |
733.85721875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
734.39721875 |
transcript.pyannote[215].end |
740.67471875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
739.89846875 |
transcript.pyannote[216].end |
751.96409375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
750.05721875 |
transcript.pyannote[217].end |
750.85034375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
751.96409375 |
transcript.pyannote[218].end |
765.97034375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
751.99784375 |
transcript.pyannote[219].end |
752.82471875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
762.64596875 |
transcript.pyannote[220].end |
762.93284375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
765.97034375 |
transcript.pyannote[221].end |
766.24034375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
766.24034375 |
transcript.pyannote[222].end |
766.91534375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
767.33721875 |
transcript.pyannote[223].end |
767.60721875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
768.18096875 |
transcript.pyannote[224].end |
775.67346875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
775.92659375 |
transcript.pyannote[225].end |
778.35659375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
778.84596875 |
transcript.pyannote[226].end |
779.26784375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
779.82471875 |
transcript.pyannote[227].end |
790.62471875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
789.05534375 |
transcript.pyannote[228].end |
799.48409375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
793.61159375 |
transcript.pyannote[229].end |
794.28659375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
799.53471875 |
transcript.pyannote[230].end |
799.58534375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
799.58534375 |
transcript.pyannote[231].end |
800.29409375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
800.29409375 |
transcript.pyannote[232].end |
804.59721875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
800.31096875 |
transcript.pyannote[233].end |
800.36159375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
800.49659375 |
transcript.pyannote[234].end |
801.18846875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
803.82096875 |
transcript.pyannote[235].end |
805.30596875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
805.71096875 |
transcript.pyannote[236].end |
806.21721875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
806.21721875 |
transcript.pyannote[237].end |
806.79096875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
807.16221875 |
transcript.pyannote[238].end |
808.03971875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
808.34346875 |
transcript.pyannote[239].end |
814.23284375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
814.87409375 |
transcript.pyannote[240].end |
816.20721875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
815.21159375 |
transcript.pyannote[241].end |
816.07221875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
816.20721875 |
transcript.pyannote[242].end |
816.32534375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
816.32534375 |
transcript.pyannote[243].end |
816.40971875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
816.40971875 |
transcript.pyannote[244].end |
816.46034375 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
816.46034375 |
transcript.pyannote[245].end |
816.98346875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
816.98346875 |
transcript.pyannote[246].end |
820.15596875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
820.91534375 |
transcript.pyannote[247].end |
827.39534375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
827.39534375 |
transcript.pyannote[248].end |
827.42909375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
827.42909375 |
transcript.pyannote[249].end |
828.61034375 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
827.44596875 |
transcript.pyannote[250].end |
843.27471875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
844.16909375 |
transcript.pyannote[251].end |
845.11409375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
845.72159375 |
transcript.pyannote[252].end |
856.15034375 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
856.15034375 |
transcript.pyannote[253].end |
858.83346875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
857.11221875 |
transcript.pyannote[254].end |
858.41159375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
859.17096875 |
transcript.pyannote[255].end |
860.09909375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
859.77846875 |
transcript.pyannote[256].end |
881.31096875 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
881.61471875 |
transcript.pyannote[257].end |
889.52909375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
887.85846875 |
transcript.pyannote[258].end |
903.63659375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
904.36221875 |
transcript.pyannote[259].end |
910.82534375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
911.51721875 |
transcript.pyannote[260].end |
914.03159375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
914.53784375 |
transcript.pyannote[261].end |
918.26721875 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
918.52034375 |
transcript.pyannote[262].end |
919.66784375 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
920.14034375 |
transcript.pyannote[263].end |
922.53659375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
922.67159375 |
transcript.pyannote[264].end |
923.59971875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
923.02596875 |
transcript.pyannote[265].end |
924.34221875 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
924.34221875 |
transcript.pyannote[266].end |
924.74721875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
924.74721875 |
transcript.pyannote[267].end |
924.78096875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
925.42221875 |
transcript.pyannote[268].end |
926.97471875 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
926.97471875 |
transcript.pyannote[269].end |
927.68346875 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
927.93659375 |
transcript.pyannote[270].end |
927.97034375 |
transcript.whisperx[0].start |
4.903 |
transcript.whisperx[0].end |
6.609 |
transcript.whisperx[0].text |
主席 謝謝 麻煩請卓榮泰院長請卓院長備詢 |
transcript.whisperx[1].start |
20.835 |
transcript.whisperx[1].end |
46.229 |
transcript.whisperx[1].text |
好 院長好 國事如麻但是我們一起共同面對也共同承擔這一點是立法院跟行政院大家共同的事務那看到今天上午那麼多委員在針對這個關稅的議題我想也針對關稅議題之前還是要再請教一下因為現在花蓮的這個風災上午內政部李鴻元部長這邊有提到就說目前看拆下來這個驗射壺的部分 |
transcript.whisperx[2].start |
47.641 |
transcript.whisperx[2].end |
74.675 |
transcript.whisperx[2].text |
華洛這次崩塌只有7000萬公噸那上面據統計還有2.5億噸的泥沙在上面換言之有3倍半的泥沙還在這上面那這就如同是一個不定時炸彈也因此內政部李鴻元部長講說如果說發生五級地震或是豪大雨的話都還有可能崩塌下來我們不希望發生這個事情但是我們要做好超前準備跟超前部署請教 院長 |
transcript.whisperx[3].start |
75.535 |
transcript.whisperx[3].end |
85.676 |
transcript.whisperx[3].text |
建議是說要討論遷村或者是有準確的預警機制我們現在有沒有開始規劃了農業部一直在做水位的預防遷村的計畫 |
transcript.whisperx[4].start |
86.896 |
transcript.whisperx[4].end |
112.501 |
transcript.whisperx[4].text |
沒有千村的計畫如果我們再經過評估 真的需要我們一定沒有評估對 千村你要評估它在上面有2.5億噸的泥沙沒有610萬噸是沒有610萬噸沒關係 這個是李洪源部長所提的這個內政部部長之前還請李洪源部長來做科技的預算因此我們現在講的是料敵從寬但我們現在要問的是說有沒有千村的計畫 |
transcript.whisperx[5].start |
114.036 |
transcript.whisperx[5].end |
135.428 |
transcript.whisperx[5].text |
目前我們是說這個他從生的一個驗生物變成一個潛疊的驗生物造成未來的影響跟上市目前為止還沒有不是我們沒有說沒有什麼樣的狀況會考慮要遷春因為院長請容許本席先提醒喔當初莫拉克風災的時候當時的中央政府馬政府馬上啟動家園重建政策 |
transcript.whisperx[6].start |
136.188 |
transcript.whisperx[6].end |
157.425 |
transcript.whisperx[6].text |
編列預算並且協調部會來跟中央地方政府來做統一的溝通也因此完成了小林村的一個遷村那我們現在請教這一次看到的這個災害天災沒有人希望發生但是除了在您上禮拜有提到是說要開始救責以外我們更要問的是這些災民何去何從 |
transcript.whisperx[7].start |
158.171 |
transcript.whisperx[7].end |
165.997 |
transcript.whisperx[7].text |
因為這些災民他現在回報講師說家園說實在話即便是泥沙清淤完畢可能很難居住啊 |
transcript.whisperx[8].start |
166.806 |
transcript.whisperx[8].end |
190.947 |
transcript.whisperx[8].text |
委員就責是要為了吸取這次的經驗為未來做改善有效的改善那我們現在知道已經至少有89戶都面臨可能選擇要簽孫的需要那簽到哪裡去這個當然要評估再來什麼時候我們現在才要問的是說有沒有這個計劃已經啟動了沒你目前說還沒有什麼時候要啟動至少我們知道89戶那什麼時候挨家挨戶會 |
transcript.whisperx[9].start |
192.548 |
transcript.whisperx[9].end |
218.688 |
transcript.whisperx[9].text |
一個禮拜之內就可以完成一個禮拜之內完成一個禮拜內會有啟動89戶 千村的計畫嗎不是 89戶要先尋求因為我們所知道像原住民的這些災民或是其他的人會有各種不同的意見你早上有講是說追加預算就可以但是我們現在要看的是一個規模大小以及重點是不是錢的問題而是中央政府有沒有完整的規劃讓 |
transcript.whisperx[10].start |
220.351 |
transcript.whisperx[10].end |
222.66 |
transcript.whisperx[10].text |
讓災民能夠有一個完整的安身立命之處 |
transcript.whisperx[11].start |
224.028 |
transcript.whisperx[11].end |
249.658 |
transcript.whisperx[11].text |
這不是追加或者是說新的條例二則一這也不是說再也提出我們要新的條例中央就說不要而是怎麼樣對於災民最好您同意新的條例不是不要我是說這個方式是最快的你也認為是說新的條例可以可以接受方式是最快的你新的條例也沒有比現在追加快如果同意的話重點在於是說我們快撥錢可是如果說你沒有做事你沒有計劃 |
transcript.whisperx[12].start |
250.618 |
transcript.whisperx[12].end |
272.147 |
transcript.whisperx[12].text |
那撥錢怎麼用現在89戶至少我們在名單當中那是不是只有89戶也不一定所以你說一個禮拜一個禮拜內會清查完畢到底有多少人有意願圈村嗎那我們就來啟動這個圈村計畫我們現在的計畫是這樣國土署的計畫是這樣第一個復原重建裡面呢並不會排斥圈村但是目前我們所知道目前沒有規劃 |
transcript.whisperx[13].start |
272.907 |
transcript.whisperx[13].end |
293.907 |
transcript.whisperx[13].text |
不是 不是沒有規劃目前我們所知道大部分人都希望離村不離鄉那如果是離村不離鄉的狀況之下跟遷村的願望所以你還是要找一個合適的地點來去做陸續的重建嘛這個就是本席現在在請教你但是目前你沒有辦法拿出具體的辦法來 院長我請教當初喔 |
transcript.whisperx[14].start |
294.824 |
transcript.whisperx[14].end |
320.015 |
transcript.whisperx[14].text |
慕拉克的時候有一個主責單位跟地方政府來做一個良好的溝通也因此才會有所謂編列預算跟協調部會這兩件中央應該要做的事情那請教未來我們花蓮這一個光復鄉的一個部分是會由誰來主責我們現在是透過中央災害應變中心來組成協調所但是我講的是說千春以及重建計劃未來因為看起來 |
transcript.whisperx[15].start |
322.162 |
transcript.whisperx[15].end |
335.583 |
transcript.whisperx[15].text |
我實在話講這跟我第二個問題要請教因為你也提到在這一次的救災裡面其實社會不信任也是一個很大的問題社會為什麼不信任其實我想你我心知肚明 |
transcript.whisperx[16].start |
336.605 |
transcript.whisperx[16].end |
359.247 |
transcript.whisperx[16].text |
過去這一年多執政黨發起的大罷免到現在真的撕裂台灣很嚴重但過去已經過去了我一而再再三強調我們既然在這個位置上面就要為服國立民的事來做可是缺乏信任是事實那所以說我現在要請教如果未來還是內政部部長當窗口還是農業部部長當窗口你覺得中央地方可以有良好溝通嗎 |
transcript.whisperx[17].start |
361.397 |
transcript.whisperx[17].end |
389.365 |
transcript.whisperx[17].text |
還是要指派一位政委能夠來統和協調甚至院長或是副院長來下來來去做這樣的一個統和協調兩位部長都很專業也很稱職那如果說我們需要跨部會的協調工作多我當然會指派一位政委來做所以未來會有政委來去做溝通協調工作需要的時候當然這麼做好來那院長我再請教喔你有提到是說希望行政立法兩院一起努力邀請韓國瑜院長共同攜手合作 |
transcript.whisperx[18].start |
390.266 |
transcript.whisperx[18].end |
391.704 |
transcript.whisperx[18].text |
那我請教你具體的做法是什麼 |
transcript.whisperx[19].start |
393.117 |
transcript.whisperx[19].end |
421.852 |
transcript.whisperx[19].text |
你想要怎麼合作我在跟立法院要透過請立法院能夠加速審議重大法案跟預算之前我當然希望透過立法院的程序能夠完成但為了這個程序能夠順暢我不排除我也會積極的跟韓院長做更多的溝通我們希望在彼此有共識的情況底下更多的拜會更多的溝通討論這個都是可以積極馬上做的工作好因為本席這次陪同韓國瑜院長前往日本出訪這是跨黨派民進黨 |
transcript.whisperx[20].start |
422.557 |
transcript.whisperx[20].end |
440.559 |
transcript.whisperx[20].text |
民眾黨 國民黨各推派代表共同前往我想韓國瑜院長展現他的高度並且他在日本不只一次提到行政院院長卓榮泰承諾願意要把我們世博的台灣館展覽的內容給帶回台灣讓國人看到 |
transcript.whisperx[21].start |
441.531 |
transcript.whisperx[21].end |
469.092 |
transcript.whisperx[21].text |
韓院長不吝嗇把舞台做給卓院長即便卓院長你沒有在他身邊那一樣的道理行政立法就應該要互相溝通開誠布公不是思考黨派的問題你可以同意吧我也多次在國內跟朋友講到說韓院長帶領這個團到世博去看到台灣館都覺得很驚訝 驚豔所以他也希望能夠把他帶回來我也認為韓院長這個提議我們原來文化部就已經有他的相關的 |
transcript.whisperx[22].start |
470.559 |
transcript.whisperx[22].end |
490.91 |
transcript.whisperx[22].text |
所以目前預算有排出來明年可以讓國人看到台灣館在台灣文化部有一部分那其他的部分因為他這個館我們現在了解光是硬體的這個設備就要高達20億因為他是分四年編列我們都了解院長四駁五年一次 |
transcript.whisperx[23].start |
496.072 |
transcript.whisperx[23].end |
514.218 |
transcript.whisperx[23].text |
你今年的世博結束到明年如果來展覽可能現在世界各國已經在思考說下一個四年下一個五年就2030的時候要展什麼了所以我們也希望是讓大家看到最新的科技而不是拖一年兩年嘛所以明年可以讓國人在台灣看到台灣館 |
transcript.whisperx[24].start |
515.623 |
transcript.whisperx[24].end |
541.142 |
transcript.whisperx[24].text |
我們已經開過一次內部的這個會議來針對這件事情所以我們才了解一些初步的過程我們現在想要選擇的是他又如果要回來除了這個設備回來要落在哪裡是一個適當的地方落在哪裡就相對單純嘛但是我們現在講說行或不行讓國人能夠在明年看到台灣館我們努力這樣做啊因為他這個下個月就結束了我們希望一段時間能夠回來其實兩個禮拜後就結束來 院長 |
transcript.whisperx[25].start |
544.324 |
transcript.whisperx[25].end |
570.092 |
transcript.whisperx[25].text |
不過開誠布公就是要尊重制度就是不能分黨派我們上禮拜看到居然有我們的行政官員在民進黨團的群組裡面然後還跟民進黨的委員互相的來講出所謂要攻擊性的言辭這當然是民進黨的委員提到的可是我們其實國民黨的委員民眾黨的委員要布會首長的賴都不容易 |
transcript.whisperx[26].start |
571.707 |
transcript.whisperx[26].end |
600.837 |
transcript.whisperx[26].text |
如果說真的不分彼此不分大小眼而是看制度說話的話民進黨的委員可以那國民黨民眾黨能不能比較要求要求什麼把部會首長的LINE一起加進來跟我們討論通訊錄大家都有吧LINE啊但重點是私LINE啊LINE他除了是公務我先請教一下院長你有沒有掌握因為上禮拜新聞我相信你有看到嗎你有在那個群組裡面嗎並沒有你沒有那有多少位我們部會官員在那群組裡面 |
transcript.whisperx[27].start |
602.799 |
transcript.whisperx[27].end |
605.745 |
transcript.whisperx[27].text |
這個因為我不在裡面我也沒有事後去了解你的祕書長在那裡面啊 |
transcript.whisperx[28].start |
608.034 |
transcript.whisperx[28].end |
631.368 |
transcript.whisperx[28].text |
請教一下你的秘書長有多少人私下跟這個群組裡面會不會變成有多頭馬車院長只是一個部分然後黨團只是另外一個部分秘書長如果基於他了解整個訊息的傳遞那麼做事實的回應你也不了解有多少部會首長在那裡面我個人不了解因為我不在裡面那你認為這樣子的一個溝通到底是會更順暢還是會更 |
transcript.whisperx[29].start |
634.25 |
transcript.whisperx[29].end |
654.811 |
transcript.whisperx[29].text |
加深大家認為是說就是執政黨跟執政黨的委員溝通但是沒有在乎在野黨委員的意見而且跟執政黨跟在野黨的委員我們都有必須溝通的管道那如果這個群組的存在所以你認為是執政黨跟部會首長就是用LINE溝通就可以但是跟我們在野黨委員就是要公文往返是嗎 |
transcript.whisperx[30].start |
658.482 |
transcript.whisperx[30].end |
686.61 |
transcript.whisperx[30].text |
這個部分有他個人 行李如宜 公務機之外他有他個人的行政 我不能強迫院長本席還是希望尊重制度而不是因人設事這是很重要的一個議題來 院長再請教現在傳出來這個商務關稅的問題美國商務部長提到晶片55分我們在副院長第一時間講說不可能答應這樣的一個要求也沒有提及 也沒有討論 也沒有承諾 |
transcript.whisperx[31].start |
687.386 |
transcript.whisperx[31].end |
701.336 |
transcript.whisperx[31].text |
沒有提及沒有討論沒有承諾所以過去四五輪的談判都沒有提過沒有那為什麼商務部長會這樣突然間講出這樣的一個底線那代表美國的要求是明確的那過去這五輪裡面美國院長剛剛 |
transcript.whisperx[32].start |
702.837 |
transcript.whisperx[32].end |
728.975 |
transcript.whisperx[32].text |
在公開的講到是說美國都沒有提到晶片55分過去五輪談判都沒有提過美方他自己的說法我們不對這個說法做評論因為在談判當中但你剛剛已經有證實的是說過去沒有提到剛剛談判當中我們也會提出我們的想法美方提出想法但是我們不會把我們的想法對外公佈好 那我請教那如果說未來他要求64分73分有沒有可能同意 |
transcript.whisperx[33].start |
729.984 |
transcript.whisperx[33].end |
749.418 |
transcript.whisperx[33].text |
因為現在沒有討論這個議題啊我們的底線在哪裡因為沒有討論這個議題我現在沒有辦法來討論到說我們有什麼底線因為不在討論的議題當中過去到現在國人我們都希望政府部門好好談判但是每一次提到這個部分都會以雙方保密協議沒有辦法跟社會大眾溝通 |
transcript.whisperx[34].start |
752.621 |
transcript.whisperx[34].end |
766.573 |
transcript.whisperx[34].text |
現在美國商務部長已經很明確講要晶片五五分啊台積公司的1650億美金的這個投資案哪一年才會完全成立未來會不會觸及到台美晶片分配的問題 |
transcript.whisperx[35].start |
768.22 |
transcript.whisperx[35].end |
788.613 |
transcript.whisperx[35].text |
台積的這個1650億的投資到目前為止什麼時候會正式的量產都不知道但是我們國內的量會一直的增加所以這個比例上現在無法做一個定論但是但我們國內在先進製程上持續領先不管是世代或是數量這個是政府的政策跟對業界的要求 |
transcript.whisperx[36].start |
790.033 |
transcript.whisperx[36].end |
814.122 |
transcript.whisperx[36].text |
我們過去都有一個我們要加一的政策也就是台灣本土一定要比世界各國的製程還要更先進一代我們還可以維持這樣承諾嗎過去這一些談判有沒有觸及到這個議題會維持不管什麼樣的壓力即便商務部長今天這是商務部長的意思還是美國總統川普的意思 |
transcript.whisperx[37].start |
814.943 |
transcript.whisperx[37].end |
843.03 |
transcript.whisperx[37].text |
他的要求 不知道但我們沒有辦法再去跟他做進一步的確認或是溝通嗎我們只會確認到最後的兩國的這個最後的協議但是到底那個主張是哪一位好來那最後 院長時間有限我最後只請教因為今天我看到一個新聞是美國總統川普表示他考慮從美國獲取的關稅收入中撥款計畫未來給美國民眾最高兩千美金的紅包 |
transcript.whisperx[38].start |
844.749 |
transcript.whisperx[38].end |
860.299 |
transcript.whisperx[38].text |
6萬塊台幣他的裁員來源是什麼他裁員來源是說因為現在關稅的收入正在增加也因此他考慮把這個紅利撥放給全他們美國的全國民眾我們的普發現金是用我們的經濟共享成果是我們的納稅錢超徵稅收也好或說我們還稅也好那是我們人民的錢 |
transcript.whisperx[39].start |
870.425 |
transcript.whisperx[39].end |
894.808 |
transcript.whisperx[39].text |
但現在美國總統講的是說他用關稅的收入給世界各國收的關稅然後他要補發現金給民眾我請教身為中華民國的行政院長你可以接受這樣的說法嗎他用他關稅的手段做他國內的各種這個政策這個我們不予置評但是我們自己我們沒有超生稅收可以接受這樣的說法就是當他關稅拿了那麼多然後發給他們美國人民那孟崇尚那些錢是從哪裡來 |
transcript.whisperx[40].start |
896.189 |
transcript.whisperx[40].end |
923.97 |
transcript.whisperx[40].text |
從你我世界各國的關稅被多增加了被超徵了結果他去發給他們人民的現金我們自己都對我們國人沒有那麼多結果沒有想到美國總統他居然用這樣的一個手段中華民國行政院長可以接受嗎我們只接受我們自力自強把自己國內的這個任何的經濟發展跟產業發展以及人民的這個消費的額度我們盡量把它壓制在平穩的狀況底下院長你還是沒有直接回答問題 謝謝 |
transcript.whisperx[41].start |
925.475 |
transcript.whisperx[41].end |
926.021 |
transcript.whisperx[41].text |
好,謝謝王委員 |