IVOD_ID |
160437 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160437 |
日期 |
2025-04-22 |
會議資料.會議代碼 |
院會-11-3-8 |
會議資料.會議代碼:str |
第11屆第3會期第8次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
8 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第8次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-22T10:50:20+08:00 |
結束時間 |
2025-04-22T11:21:24+08:00 |
影片長度 |
00:31:04 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dfcb33c81b5f4f3f55f03f39af0a757675b01fba8380de05296603b2b90a1618470218920b9c28b85ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
高金素梅 |
委員發言時間 |
10:50:20 - 11:21:24 |
會議時間 |
2025-04-22T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第8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、4月18日上午9時至10時為國是論壇時間。三、4月22日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
2.81534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
14.27346875 |
transcript.pyannote[1].end |
15.21846875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
15.75846875 |
transcript.pyannote[2].end |
18.74534375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
19.18409375 |
transcript.pyannote[3].end |
20.82096875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
22.37346875 |
transcript.pyannote[4].end |
27.89159375 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
34.32096875 |
transcript.pyannote[5].end |
34.75971875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
35.13096875 |
transcript.pyannote[6].end |
36.31221875 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
36.04221875 |
transcript.pyannote[7].end |
36.48096875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
36.91971875 |
transcript.pyannote[8].end |
47.19659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
47.43284375 |
transcript.pyannote[9].end |
52.79909375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
53.06909375 |
transcript.pyannote[10].end |
59.93721875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
60.42659375 |
transcript.pyannote[11].end |
68.10471875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
68.76284375 |
transcript.pyannote[12].end |
74.68596875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
74.97284375 |
transcript.pyannote[13].end |
78.70221875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
79.19159375 |
transcript.pyannote[14].end |
84.76034375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
85.11471875 |
transcript.pyannote[15].end |
99.61034375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
100.01534375 |
transcript.pyannote[16].end |
126.40784375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
126.59346875 |
transcript.pyannote[17].end |
128.50034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
128.82096875 |
transcript.pyannote[18].end |
145.10534375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
145.51034375 |
transcript.pyannote[19].end |
148.59846875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
148.66596875 |
transcript.pyannote[20].end |
155.56784375 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
155.87159375 |
transcript.pyannote[21].end |
159.53346875 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
159.71909375 |
transcript.pyannote[22].end |
166.24971875 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
166.41846875 |
transcript.pyannote[23].end |
169.33784375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
167.48159375 |
transcript.pyannote[24].end |
171.22784375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
171.63284375 |
transcript.pyannote[25].end |
188.47409375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
188.54159375 |
transcript.pyannote[26].end |
188.96346875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
189.03096875 |
transcript.pyannote[27].end |
189.82409375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
190.04346875 |
transcript.pyannote[28].end |
192.13596875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
192.57471875 |
transcript.pyannote[29].end |
195.32534375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
195.66284375 |
transcript.pyannote[30].end |
220.45221875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
220.77284375 |
transcript.pyannote[31].end |
233.15909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
233.54721875 |
transcript.pyannote[32].end |
252.29534375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
252.70034375 |
transcript.pyannote[33].end |
253.61159375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
253.83096875 |
transcript.pyannote[34].end |
258.65721875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
253.96596875 |
transcript.pyannote[35].end |
254.57346875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
257.98221875 |
transcript.pyannote[36].end |
262.48784375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
258.84284375 |
transcript.pyannote[37].end |
259.34909375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
260.49659375 |
transcript.pyannote[38].end |
261.00284375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
262.82534375 |
transcript.pyannote[39].end |
265.18784375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
265.08659375 |
transcript.pyannote[40].end |
265.15409375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
265.18784375 |
transcript.pyannote[41].end |
265.20471875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
265.20471875 |
transcript.pyannote[42].end |
265.76159375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
265.22159375 |
transcript.pyannote[43].end |
278.75534375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
280.47659375 |
transcript.pyannote[44].end |
305.41784375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
305.78909375 |
transcript.pyannote[45].end |
323.38971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
323.72721875 |
transcript.pyannote[46].end |
325.71846875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
325.80284375 |
transcript.pyannote[47].end |
336.34971875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
336.87284375 |
transcript.pyannote[48].end |
342.35721875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
342.77909375 |
transcript.pyannote[49].end |
343.80846875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
343.80846875 |
transcript.pyannote[50].end |
344.07846875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
344.68596875 |
transcript.pyannote[51].end |
347.50409375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
347.99346875 |
transcript.pyannote[52].end |
353.32596875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
352.00971875 |
transcript.pyannote[53].end |
371.53409375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
371.77034375 |
transcript.pyannote[54].end |
378.35159375 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
375.26346875 |
transcript.pyannote[55].end |
375.80346875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
377.62596875 |
transcript.pyannote[56].end |
380.05596875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
378.58784375 |
transcript.pyannote[57].end |
381.32159375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
380.78159375 |
transcript.pyannote[58].end |
385.38846875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
382.97534375 |
transcript.pyannote[59].end |
384.94971875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
385.33784375 |
transcript.pyannote[60].end |
394.65284375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
393.58971875 |
transcript.pyannote[61].end |
397.65659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
396.74534375 |
transcript.pyannote[62].end |
419.20596875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
398.65221875 |
transcript.pyannote[63].end |
399.10784375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
400.50846875 |
transcript.pyannote[64].end |
403.02284375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
403.02284375 |
transcript.pyannote[65].end |
403.09034375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
419.39159375 |
transcript.pyannote[66].end |
439.32096875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
425.75346875 |
transcript.pyannote[67].end |
426.96846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
426.96846875 |
transcript.pyannote[68].end |
427.00221875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
429.66846875 |
transcript.pyannote[69].end |
429.75284375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
430.00596875 |
transcript.pyannote[70].end |
430.02284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
439.43909375 |
transcript.pyannote[71].end |
440.14784375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
440.60346875 |
transcript.pyannote[72].end |
442.05471875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
442.44284375 |
transcript.pyannote[73].end |
444.48471875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
444.87284375 |
transcript.pyannote[74].end |
452.65221875 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
452.88846875 |
transcript.pyannote[75].end |
453.41159375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
454.15409375 |
transcript.pyannote[76].end |
466.10159375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
466.50659375 |
transcript.pyannote[77].end |
467.23221875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
467.45159375 |
transcript.pyannote[78].end |
470.80971875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
471.28221875 |
transcript.pyannote[79].end |
476.26034375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
475.68659375 |
transcript.pyannote[80].end |
478.01534375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
478.79159375 |
transcript.pyannote[81].end |
522.66659375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
519.62909375 |
transcript.pyannote[82].end |
526.37909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
522.68346875 |
transcript.pyannote[83].end |
522.71721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
522.76784375 |
transcript.pyannote[84].end |
524.80971875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
526.37909375 |
transcript.pyannote[85].end |
527.13846875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
527.13846875 |
transcript.pyannote[86].end |
527.18909375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
527.18909375 |
transcript.pyannote[87].end |
527.20596875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
527.32409375 |
transcript.pyannote[88].end |
527.96534375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
527.96534375 |
transcript.pyannote[89].end |
527.99909375 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
527.99909375 |
transcript.pyannote[90].end |
528.57284375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
528.03284375 |
transcript.pyannote[91].end |
547.27034375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
530.63159375 |
transcript.pyannote[92].end |
530.91846875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
534.14159375 |
transcript.pyannote[93].end |
536.97659375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
536.97659375 |
transcript.pyannote[94].end |
537.06096875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
547.59096875 |
transcript.pyannote[95].end |
552.73784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
553.14284375 |
transcript.pyannote[96].end |
592.27596875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
592.91721875 |
transcript.pyannote[97].end |
608.84721875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
609.35346875 |
transcript.pyannote[98].end |
620.33909375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
620.55846875 |
transcript.pyannote[99].end |
627.10596875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
627.49409375 |
transcript.pyannote[100].end |
640.97721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
641.29784375 |
transcript.pyannote[101].end |
660.29909375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
660.55221875 |
transcript.pyannote[102].end |
662.79659375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
663.23534375 |
transcript.pyannote[103].end |
666.67784375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
667.25159375 |
transcript.pyannote[104].end |
672.12846875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
672.33096875 |
transcript.pyannote[105].end |
691.41659375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
672.43221875 |
transcript.pyannote[106].end |
672.80346875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
689.03721875 |
transcript.pyannote[107].end |
690.18471875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
690.77534375 |
transcript.pyannote[108].end |
696.95159375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
693.30659375 |
transcript.pyannote[109].end |
693.91409375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
696.52971875 |
transcript.pyannote[110].end |
697.05284375 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
696.98534375 |
transcript.pyannote[111].end |
698.80784375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
697.93034375 |
transcript.pyannote[112].end |
700.27596875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
699.19596875 |
transcript.pyannote[113].end |
700.49534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
700.34346875 |
transcript.pyannote[114].end |
701.10284375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
701.23784375 |
transcript.pyannote[115].end |
702.68909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
702.72284375 |
transcript.pyannote[116].end |
722.34846875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
715.98659375 |
transcript.pyannote[117].end |
716.42534375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
722.61846875 |
transcript.pyannote[118].end |
726.80346875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
727.03971875 |
transcript.pyannote[119].end |
730.46534375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
731.37659375 |
transcript.pyannote[120].end |
741.04596875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
731.39346875 |
transcript.pyannote[121].end |
731.79846875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
734.98784375 |
transcript.pyannote[122].end |
738.98721875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
740.80971875 |
transcript.pyannote[123].end |
740.92784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
741.53534375 |
transcript.pyannote[124].end |
743.34096875 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
741.61971875 |
transcript.pyannote[125].end |
742.98659375 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
743.20596875 |
transcript.pyannote[126].end |
743.22284375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
743.27346875 |
transcript.pyannote[127].end |
746.85096875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
745.97346875 |
transcript.pyannote[128].end |
749.53409375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
749.48346875 |
transcript.pyannote[129].end |
752.13284375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
752.20034375 |
transcript.pyannote[130].end |
760.46909375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
752.23409375 |
transcript.pyannote[131].end |
756.84096875 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
760.24971875 |
transcript.pyannote[132].end |
763.03409375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
760.48596875 |
transcript.pyannote[133].end |
768.72096875 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
763.70909375 |
transcript.pyannote[134].end |
768.07971875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
768.43409375 |
transcript.pyannote[135].end |
768.82221875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
769.53096875 |
transcript.pyannote[136].end |
772.31534375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
769.93596875 |
transcript.pyannote[137].end |
770.89784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
773.17596875 |
transcript.pyannote[138].end |
778.94721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
779.09909375 |
transcript.pyannote[139].end |
785.66346875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
785.91659375 |
transcript.pyannote[140].end |
790.32096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
790.92846875 |
transcript.pyannote[141].end |
795.53534375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
795.78846875 |
transcript.pyannote[142].end |
801.67784375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
802.18409375 |
transcript.pyannote[143].end |
803.31471875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
802.20096875 |
transcript.pyannote[144].end |
802.77471875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
803.97284375 |
transcript.pyannote[145].end |
810.35159375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
810.70596875 |
transcript.pyannote[146].end |
833.97659375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
827.44596875 |
transcript.pyannote[147].end |
827.46284375 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
827.46284375 |
transcript.pyannote[148].end |
828.20534375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
833.04846875 |
transcript.pyannote[149].end |
835.44471875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
834.58409375 |
transcript.pyannote[150].end |
838.61721875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
836.69346875 |
transcript.pyannote[151].end |
837.28409375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
839.02221875 |
transcript.pyannote[152].end |
840.94596875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
841.04721875 |
transcript.pyannote[153].end |
844.18596875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
844.50659375 |
transcript.pyannote[154].end |
850.83471875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
849.38346875 |
transcript.pyannote[155].end |
849.75471875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
851.34096875 |
transcript.pyannote[156].end |
852.25221875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
852.55596875 |
transcript.pyannote[157].end |
853.66971875 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
853.70346875 |
transcript.pyannote[158].end |
859.20471875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
859.30596875 |
transcript.pyannote[159].end |
860.16659375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
860.95971875 |
transcript.pyannote[160].end |
863.08596875 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
863.27159375 |
transcript.pyannote[161].end |
864.75659375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
864.67221875 |
transcript.pyannote[162].end |
878.42534375 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
864.80721875 |
transcript.pyannote[163].end |
869.54909375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
870.67971875 |
transcript.pyannote[164].end |
870.84846875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
874.83096875 |
transcript.pyannote[165].end |
875.62409375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
877.73346875 |
transcript.pyannote[166].end |
891.35159375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
891.18284375 |
transcript.pyannote[167].end |
893.27534375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
892.56659375 |
transcript.pyannote[168].end |
895.60409375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
894.69284375 |
transcript.pyannote[169].end |
912.79971875 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
910.84221875 |
transcript.pyannote[170].end |
918.87471875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
916.41096875 |
transcript.pyannote[171].end |
920.17409375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
919.16159375 |
transcript.pyannote[172].end |
923.39721875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
923.02596875 |
transcript.pyannote[173].end |
929.79284375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
929.79284375 |
transcript.pyannote[174].end |
930.23159375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
930.28221875 |
transcript.pyannote[175].end |
933.91034375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
934.31534375 |
transcript.pyannote[176].end |
935.96909375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
934.36596875 |
transcript.pyannote[177].end |
935.12534375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
935.85096875 |
transcript.pyannote[178].end |
936.77909375 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
936.42471875 |
transcript.pyannote[179].end |
936.84659375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
937.20096875 |
transcript.pyannote[180].end |
939.63096875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
939.81659375 |
transcript.pyannote[181].end |
940.69409375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
940.96409375 |
transcript.pyannote[182].end |
946.33034375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
946.76909375 |
transcript.pyannote[183].end |
947.46096875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
948.28784375 |
transcript.pyannote[184].end |
958.81784375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
959.66159375 |
transcript.pyannote[185].end |
977.73471875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
969.58409375 |
transcript.pyannote[186].end |
969.66846875 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
978.25784375 |
transcript.pyannote[187].end |
979.23659375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
980.45159375 |
transcript.pyannote[188].end |
988.36596875 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
988.78784375 |
transcript.pyannote[189].end |
998.94659375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
997.88346875 |
transcript.pyannote[190].end |
1005.89909375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
1000.53284375 |
transcript.pyannote[191].end |
1001.03909375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
1001.03909375 |
transcript.pyannote[192].end |
1001.52846875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
1003.43534375 |
transcript.pyannote[193].end |
1015.45034375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
1009.89846875 |
transcript.pyannote[194].end |
1022.21721875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
1023.12846875 |
transcript.pyannote[195].end |
1047.56346875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
1048.08659375 |
transcript.pyannote[196].end |
1052.37284375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
1052.57534375 |
transcript.pyannote[197].end |
1057.60409375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
1058.11034375 |
transcript.pyannote[198].end |
1067.62784375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
1067.76284375 |
transcript.pyannote[199].end |
1076.20034375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
1076.82471875 |
transcript.pyannote[200].end |
1098.35721875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
1079.52471875 |
transcript.pyannote[201].end |
1079.94659375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
1098.96471875 |
transcript.pyannote[202].end |
1117.66221875 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
1117.66221875 |
transcript.pyannote[203].end |
1118.77596875 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
1119.26534375 |
transcript.pyannote[204].end |
1122.35346875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
1122.89346875 |
transcript.pyannote[205].end |
1124.34471875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
1124.34471875 |
transcript.pyannote[206].end |
1132.42784375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
1126.08284375 |
transcript.pyannote[207].end |
1126.45409375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
1132.59659375 |
transcript.pyannote[208].end |
1132.61346875 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
1132.61346875 |
transcript.pyannote[209].end |
1137.45659375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
1132.83284375 |
transcript.pyannote[210].end |
1142.82284375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
1142.90721875 |
transcript.pyannote[211].end |
1144.45971875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
1144.84784375 |
transcript.pyannote[212].end |
1153.75784375 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
1155.15846875 |
transcript.pyannote[213].end |
1157.97659375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
1157.97659375 |
transcript.pyannote[214].end |
1163.07284375 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
1158.07784375 |
transcript.pyannote[215].end |
1158.11159375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
1163.54534375 |
transcript.pyannote[216].end |
1170.00846875 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
1167.29159375 |
transcript.pyannote[217].end |
1170.53159375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
1170.54846875 |
transcript.pyannote[218].end |
1170.56534375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
1170.58221875 |
transcript.pyannote[219].end |
1194.03846875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
1170.71721875 |
transcript.pyannote[220].end |
1170.98721875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
1182.79971875 |
transcript.pyannote[221].end |
1184.97659375 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
1184.97659375 |
transcript.pyannote[222].end |
1185.61784375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
1194.44346875 |
transcript.pyannote[223].end |
1196.51909375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
1195.42221875 |
transcript.pyannote[224].end |
1198.54409375 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
1197.02534375 |
transcript.pyannote[225].end |
1201.02471875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
1198.91534375 |
transcript.pyannote[226].end |
1204.01159375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
1201.02471875 |
transcript.pyannote[227].end |
1201.29471875 |
transcript.pyannote[228].speaker |
SPEAKER_03 |
transcript.pyannote[228].start |
1201.29471875 |
transcript.pyannote[228].end |
1201.44659375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
1201.44659375 |
transcript.pyannote[229].end |
1203.53909375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
1204.23096875 |
transcript.pyannote[230].end |
1206.00284375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
1204.61909375 |
transcript.pyannote[231].end |
1206.40784375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
1206.57659375 |
transcript.pyannote[232].end |
1207.90971875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
1212.87096875 |
transcript.pyannote[233].end |
1216.04346875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
1216.09409375 |
transcript.pyannote[234].end |
1218.52409375 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
1219.09784375 |
transcript.pyannote[235].end |
1224.75096875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
1219.24971875 |
transcript.pyannote[236].end |
1220.19471875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
1225.18971875 |
transcript.pyannote[237].end |
1234.42034375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
1234.77471875 |
transcript.pyannote[238].end |
1245.82784375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
1248.07221875 |
transcript.pyannote[239].end |
1250.48534375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
1248.69659375 |
transcript.pyannote[240].end |
1249.16909375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
1250.97471875 |
transcript.pyannote[241].end |
1252.84784375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
1253.08409375 |
transcript.pyannote[242].end |
1254.56909375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
1255.15971875 |
transcript.pyannote[243].end |
1257.03284375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
1257.15096875 |
transcript.pyannote[244].end |
1257.89346875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
1258.19721875 |
transcript.pyannote[245].end |
1259.15909375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
1259.47971875 |
transcript.pyannote[246].end |
1259.95221875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
1260.17159375 |
transcript.pyannote[247].end |
1264.87971875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
1265.04846875 |
transcript.pyannote[248].end |
1266.02721875 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
1266.55034375 |
transcript.pyannote[249].end |
1269.36846875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
1269.65534375 |
transcript.pyannote[250].end |
1271.10659375 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
1271.66346875 |
transcript.pyannote[251].end |
1276.52346875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
1276.79346875 |
transcript.pyannote[252].end |
1287.35721875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
1288.06596875 |
transcript.pyannote[253].end |
1290.07409375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
1290.98534375 |
transcript.pyannote[254].end |
1292.99346875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
1293.24659375 |
transcript.pyannote[255].end |
1297.90409375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
1296.72284375 |
transcript.pyannote[256].end |
1297.80284375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
1297.90409375 |
transcript.pyannote[257].end |
1298.88284375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
1297.98846875 |
transcript.pyannote[258].end |
1300.97534375 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
1300.57034375 |
transcript.pyannote[259].end |
1309.04159375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
1301.61659375 |
transcript.pyannote[260].end |
1303.06784375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
1309.64909375 |
transcript.pyannote[261].end |
1311.33659375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
1311.43784375 |
transcript.pyannote[262].end |
1312.36596875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
1312.78784375 |
transcript.pyannote[263].end |
1313.85096875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
1314.08721875 |
transcript.pyannote[264].end |
1314.57659375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
1315.01534375 |
transcript.pyannote[265].end |
1316.92221875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
1317.09096875 |
transcript.pyannote[266].end |
1318.44096875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
1318.64346875 |
transcript.pyannote[267].end |
1319.75721875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
1320.07784375 |
transcript.pyannote[268].end |
1325.93346875 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
1324.43159375 |
transcript.pyannote[269].end |
1335.43409375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
1336.31159375 |
transcript.pyannote[270].end |
1344.04034375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
1345.12034375 |
transcript.pyannote[271].end |
1346.90909375 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
1347.70221875 |
transcript.pyannote[272].end |
1353.69284375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
1353.35534375 |
transcript.pyannote[273].end |
1356.39284375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
1356.64596875 |
transcript.pyannote[274].end |
1358.23221875 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
1358.63721875 |
transcript.pyannote[275].end |
1359.12659375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
1359.59909375 |
transcript.pyannote[276].end |
1362.33284375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
1362.45096875 |
transcript.pyannote[277].end |
1365.04971875 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
1364.72909375 |
transcript.pyannote[278].end |
1365.13409375 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
1365.55596875 |
transcript.pyannote[279].end |
1370.85471875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
1371.39471875 |
transcript.pyannote[280].end |
1376.15346875 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
1374.46596875 |
transcript.pyannote[281].end |
1383.89909375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
1384.30409375 |
transcript.pyannote[282].end |
1389.73784375 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
1389.95721875 |
transcript.pyannote[283].end |
1392.18471875 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
1392.35346875 |
transcript.pyannote[284].end |
1400.65596875 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
1401.16221875 |
transcript.pyannote[285].end |
1402.84971875 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
1402.95096875 |
transcript.pyannote[286].end |
1407.10221875 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
1408.14846875 |
transcript.pyannote[287].end |
1414.51034375 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
1414.57784375 |
transcript.pyannote[288].end |
1414.59471875 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
1414.69596875 |
transcript.pyannote[289].end |
1415.64096875 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
1414.79721875 |
transcript.pyannote[290].end |
1416.38346875 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
1416.83909375 |
transcript.pyannote[291].end |
1417.91909375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
1418.15534375 |
transcript.pyannote[292].end |
1420.39971875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
1420.95659375 |
transcript.pyannote[293].end |
1421.20971875 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
1421.66534375 |
transcript.pyannote[294].end |
1422.64409375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
1423.63971875 |
transcript.pyannote[295].end |
1427.89221875 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
1426.99784375 |
transcript.pyannote[296].end |
1431.58784375 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
1428.17909375 |
transcript.pyannote[297].end |
1430.08596875 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
1430.25471875 |
transcript.pyannote[298].end |
1431.89159375 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
1431.89159375 |
transcript.pyannote[299].end |
1450.85909375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
1438.18596875 |
transcript.pyannote[300].end |
1438.89471875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
1450.65659375 |
transcript.pyannote[301].end |
1454.45346875 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
1451.33159375 |
transcript.pyannote[302].end |
1488.69284375 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
1468.32471875 |
transcript.pyannote[303].end |
1469.47221875 |
transcript.pyannote[304].speaker |
SPEAKER_00 |
transcript.pyannote[304].start |
1489.13159375 |
transcript.pyannote[304].end |
1495.12221875 |
transcript.pyannote[305].speaker |
SPEAKER_00 |
transcript.pyannote[305].start |
1495.51034375 |
transcript.pyannote[305].end |
1511.94659375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
1512.06471875 |
transcript.pyannote[306].end |
1551.90659375 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
1552.14284375 |
transcript.pyannote[307].end |
1553.99909375 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
1554.40409375 |
transcript.pyannote[308].end |
1556.59784375 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
1556.90159375 |
transcript.pyannote[309].end |
1574.53596875 |
transcript.pyannote[310].speaker |
SPEAKER_00 |
transcript.pyannote[310].start |
1574.75534375 |
transcript.pyannote[310].end |
1576.05471875 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
1576.34159375 |
transcript.pyannote[311].end |
1586.88846875 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
1587.37784375 |
transcript.pyannote[312].end |
1591.96784375 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
1592.27159375 |
transcript.pyannote[313].end |
1596.59159375 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
1596.97971875 |
transcript.pyannote[314].end |
1608.31971875 |
transcript.pyannote[315].speaker |
SPEAKER_00 |
transcript.pyannote[315].start |
1608.89346875 |
transcript.pyannote[315].end |
1610.02409375 |
transcript.pyannote[316].speaker |
SPEAKER_00 |
transcript.pyannote[316].start |
1610.39534375 |
transcript.pyannote[316].end |
1611.91409375 |
transcript.pyannote[317].speaker |
SPEAKER_00 |
transcript.pyannote[317].start |
1612.53846875 |
transcript.pyannote[317].end |
1621.14471875 |
transcript.pyannote[318].speaker |
SPEAKER_00 |
transcript.pyannote[318].start |
1621.53284375 |
transcript.pyannote[318].end |
1625.36346875 |
transcript.pyannote[319].speaker |
SPEAKER_00 |
transcript.pyannote[319].start |
1625.83596875 |
transcript.pyannote[319].end |
1630.61159375 |
transcript.pyannote[320].speaker |
SPEAKER_00 |
transcript.pyannote[320].start |
1631.01659375 |
transcript.pyannote[320].end |
1631.53971875 |
transcript.pyannote[321].speaker |
SPEAKER_00 |
transcript.pyannote[321].start |
1631.91096875 |
transcript.pyannote[321].end |
1636.38284375 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
1637.73284375 |
transcript.pyannote[322].end |
1641.93471875 |
transcript.pyannote[323].speaker |
SPEAKER_01 |
transcript.pyannote[323].start |
1642.91346875 |
transcript.pyannote[323].end |
1643.92596875 |
transcript.pyannote[324].speaker |
SPEAKER_01 |
transcript.pyannote[324].start |
1644.14534375 |
transcript.pyannote[324].end |
1654.57409375 |
transcript.pyannote[325].speaker |
SPEAKER_00 |
transcript.pyannote[325].start |
1654.70909375 |
transcript.pyannote[325].end |
1657.35846875 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
1654.99596875 |
transcript.pyannote[326].end |
1656.16034375 |
transcript.pyannote[327].speaker |
SPEAKER_01 |
transcript.pyannote[327].start |
1656.29534375 |
transcript.pyannote[327].end |
1657.40909375 |
transcript.pyannote[328].speaker |
SPEAKER_00 |
transcript.pyannote[328].start |
1657.61159375 |
transcript.pyannote[328].end |
1662.92721875 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
1662.77534375 |
transcript.pyannote[329].end |
1664.29409375 |
transcript.pyannote[330].speaker |
SPEAKER_00 |
transcript.pyannote[330].start |
1663.88909375 |
transcript.pyannote[330].end |
1673.50784375 |
transcript.pyannote[331].speaker |
SPEAKER_01 |
transcript.pyannote[331].start |
1672.71471875 |
transcript.pyannote[331].end |
1676.44409375 |
transcript.pyannote[332].speaker |
SPEAKER_00 |
transcript.pyannote[332].start |
1674.04784375 |
transcript.pyannote[332].end |
1677.62534375 |
transcript.pyannote[333].speaker |
SPEAKER_00 |
transcript.pyannote[333].start |
1677.89534375 |
transcript.pyannote[333].end |
1685.72534375 |
transcript.pyannote[334].speaker |
SPEAKER_00 |
transcript.pyannote[334].start |
1686.18096875 |
transcript.pyannote[334].end |
1690.21409375 |
transcript.pyannote[335].speaker |
SPEAKER_00 |
transcript.pyannote[335].start |
1690.29846875 |
transcript.pyannote[335].end |
1695.51284375 |
transcript.pyannote[336].speaker |
SPEAKER_00 |
transcript.pyannote[336].start |
1695.74909375 |
transcript.pyannote[336].end |
1703.42721875 |
transcript.pyannote[337].speaker |
SPEAKER_01 |
transcript.pyannote[337].start |
1701.43596875 |
transcript.pyannote[337].end |
1702.09409375 |
transcript.pyannote[338].speaker |
SPEAKER_01 |
transcript.pyannote[338].start |
1703.12346875 |
transcript.pyannote[338].end |
1707.27471875 |
transcript.pyannote[339].speaker |
SPEAKER_00 |
transcript.pyannote[339].start |
1706.34659375 |
transcript.pyannote[339].end |
1713.36659375 |
transcript.pyannote[340].speaker |
SPEAKER_01 |
transcript.pyannote[340].start |
1708.74284375 |
transcript.pyannote[340].end |
1711.49346875 |
transcript.pyannote[341].speaker |
SPEAKER_01 |
transcript.pyannote[341].start |
1712.20221875 |
transcript.pyannote[341].end |
1717.02846875 |
transcript.pyannote[342].speaker |
SPEAKER_00 |
transcript.pyannote[342].start |
1716.74159375 |
transcript.pyannote[342].end |
1717.80471875 |
transcript.pyannote[343].speaker |
SPEAKER_00 |
transcript.pyannote[343].start |
1717.95659375 |
transcript.pyannote[343].end |
1719.01971875 |
transcript.pyannote[344].speaker |
SPEAKER_00 |
transcript.pyannote[344].start |
1719.27284375 |
transcript.pyannote[344].end |
1721.33159375 |
transcript.pyannote[345].speaker |
SPEAKER_01 |
transcript.pyannote[345].start |
1721.66909375 |
transcript.pyannote[345].end |
1726.76534375 |
transcript.pyannote[346].speaker |
SPEAKER_00 |
transcript.pyannote[346].start |
1726.73159375 |
transcript.pyannote[346].end |
1730.49471875 |
transcript.pyannote[347].speaker |
SPEAKER_00 |
transcript.pyannote[347].start |
1730.78159375 |
transcript.pyannote[347].end |
1731.74346875 |
transcript.pyannote[348].speaker |
SPEAKER_00 |
transcript.pyannote[348].start |
1732.30034375 |
transcript.pyannote[348].end |
1736.04659375 |
transcript.pyannote[349].speaker |
SPEAKER_00 |
transcript.pyannote[349].start |
1736.78909375 |
transcript.pyannote[349].end |
1739.97846875 |
transcript.pyannote[350].speaker |
SPEAKER_00 |
transcript.pyannote[350].start |
1740.43409375 |
transcript.pyannote[350].end |
1742.50971875 |
transcript.pyannote[351].speaker |
SPEAKER_00 |
transcript.pyannote[351].start |
1743.16784375 |
transcript.pyannote[351].end |
1745.39534375 |
transcript.pyannote[352].speaker |
SPEAKER_00 |
transcript.pyannote[352].start |
1746.28971875 |
transcript.pyannote[352].end |
1752.02721875 |
transcript.pyannote[353].speaker |
SPEAKER_00 |
transcript.pyannote[353].start |
1752.34784375 |
transcript.pyannote[353].end |
1756.27971875 |
transcript.pyannote[354].speaker |
SPEAKER_00 |
transcript.pyannote[354].start |
1756.98846875 |
transcript.pyannote[354].end |
1760.98784375 |
transcript.pyannote[355].speaker |
SPEAKER_00 |
transcript.pyannote[355].start |
1761.29159375 |
transcript.pyannote[355].end |
1765.54409375 |
transcript.pyannote[356].speaker |
SPEAKER_01 |
transcript.pyannote[356].start |
1765.37534375 |
transcript.pyannote[356].end |
1766.28659375 |
transcript.pyannote[357].speaker |
SPEAKER_00 |
transcript.pyannote[357].start |
1766.72534375 |
transcript.pyannote[357].end |
1767.14721875 |
transcript.pyannote[358].speaker |
SPEAKER_01 |
transcript.pyannote[358].start |
1766.80971875 |
transcript.pyannote[358].end |
1768.63221875 |
transcript.pyannote[359].speaker |
SPEAKER_01 |
transcript.pyannote[359].start |
1769.17221875 |
transcript.pyannote[359].end |
1771.90596875 |
transcript.pyannote[360].speaker |
SPEAKER_01 |
transcript.pyannote[360].start |
1772.05784375 |
transcript.pyannote[360].end |
1774.15034375 |
transcript.pyannote[361].speaker |
SPEAKER_01 |
transcript.pyannote[361].start |
1774.21784375 |
transcript.pyannote[361].end |
1775.88846875 |
transcript.pyannote[362].speaker |
SPEAKER_01 |
transcript.pyannote[362].start |
1776.02346875 |
transcript.pyannote[362].end |
1777.05284375 |
transcript.pyannote[363].speaker |
SPEAKER_01 |
transcript.pyannote[363].start |
1777.40721875 |
transcript.pyannote[363].end |
1778.40284375 |
transcript.pyannote[364].speaker |
SPEAKER_01 |
transcript.pyannote[364].start |
1778.47034375 |
transcript.pyannote[364].end |
1780.42784375 |
transcript.pyannote[365].speaker |
SPEAKER_01 |
transcript.pyannote[365].start |
1780.78221875 |
transcript.pyannote[365].end |
1790.08034375 |
transcript.pyannote[366].speaker |
SPEAKER_00 |
transcript.pyannote[366].start |
1790.18159375 |
transcript.pyannote[366].end |
1792.79721875 |
transcript.pyannote[367].speaker |
SPEAKER_01 |
transcript.pyannote[367].start |
1793.30346875 |
transcript.pyannote[367].end |
1794.92346875 |
transcript.pyannote[368].speaker |
SPEAKER_01 |
transcript.pyannote[368].start |
1795.54784375 |
transcript.pyannote[368].end |
1803.63096875 |
transcript.pyannote[369].speaker |
SPEAKER_01 |
transcript.pyannote[369].start |
1803.85034375 |
transcript.pyannote[369].end |
1804.62659375 |
transcript.pyannote[370].speaker |
SPEAKER_01 |
transcript.pyannote[370].start |
1805.36909375 |
transcript.pyannote[370].end |
1806.22971875 |
transcript.pyannote[371].speaker |
SPEAKER_01 |
transcript.pyannote[371].start |
1806.55034375 |
transcript.pyannote[371].end |
1808.98034375 |
transcript.pyannote[372].speaker |
SPEAKER_00 |
transcript.pyannote[372].start |
1809.25034375 |
transcript.pyannote[372].end |
1810.85346875 |
transcript.pyannote[373].speaker |
SPEAKER_01 |
transcript.pyannote[373].start |
1811.29221875 |
transcript.pyannote[373].end |
1813.43534375 |
transcript.pyannote[374].speaker |
SPEAKER_01 |
transcript.pyannote[374].start |
1813.68846875 |
transcript.pyannote[374].end |
1816.27034375 |
transcript.pyannote[375].speaker |
SPEAKER_01 |
transcript.pyannote[375].start |
1816.79346875 |
transcript.pyannote[375].end |
1817.53596875 |
transcript.pyannote[376].speaker |
SPEAKER_01 |
transcript.pyannote[376].start |
1817.94096875 |
transcript.pyannote[376].end |
1819.39221875 |
transcript.pyannote[377].speaker |
SPEAKER_00 |
transcript.pyannote[377].start |
1819.89846875 |
transcript.pyannote[377].end |
1820.59034375 |
transcript.pyannote[378].speaker |
SPEAKER_01 |
transcript.pyannote[378].start |
1821.07971875 |
transcript.pyannote[378].end |
1821.63659375 |
transcript.pyannote[379].speaker |
SPEAKER_00 |
transcript.pyannote[379].start |
1822.36221875 |
transcript.pyannote[379].end |
1824.65721875 |
transcript.pyannote[380].speaker |
SPEAKER_01 |
transcript.pyannote[380].start |
1824.60659375 |
transcript.pyannote[380].end |
1827.49221875 |
transcript.pyannote[381].speaker |
SPEAKER_00 |
transcript.pyannote[381].start |
1824.77534375 |
transcript.pyannote[381].end |
1826.44596875 |
transcript.pyannote[382].speaker |
SPEAKER_01 |
transcript.pyannote[382].start |
1828.06596875 |
transcript.pyannote[382].end |
1830.58034375 |
transcript.pyannote[383].speaker |
SPEAKER_01 |
transcript.pyannote[383].start |
1830.59721875 |
transcript.pyannote[383].end |
1836.63846875 |
transcript.pyannote[384].speaker |
SPEAKER_00 |
transcript.pyannote[384].start |
1837.38096875 |
transcript.pyannote[384].end |
1839.01784375 |
transcript.pyannote[385].speaker |
SPEAKER_01 |
transcript.pyannote[385].start |
1839.77721875 |
transcript.pyannote[385].end |
1840.53659375 |
transcript.pyannote[386].speaker |
SPEAKER_00 |
transcript.pyannote[386].start |
1839.91221875 |
transcript.pyannote[386].end |
1841.32971875 |
transcript.pyannote[387].speaker |
SPEAKER_00 |
transcript.pyannote[387].start |
1841.51534375 |
transcript.pyannote[387].end |
1842.51096875 |
transcript.pyannote[388].speaker |
SPEAKER_01 |
transcript.pyannote[388].start |
1842.94971875 |
transcript.pyannote[388].end |
1845.49784375 |
transcript.pyannote[389].speaker |
SPEAKER_00 |
transcript.pyannote[389].start |
1844.33346875 |
transcript.pyannote[389].end |
1845.44721875 |
transcript.pyannote[390].speaker |
SPEAKER_01 |
transcript.pyannote[390].start |
1846.13909375 |
transcript.pyannote[390].end |
1846.76346875 |
transcript.pyannote[391].speaker |
SPEAKER_01 |
transcript.pyannote[391].start |
1847.18534375 |
transcript.pyannote[391].end |
1847.87721875 |
transcript.pyannote[392].speaker |
SPEAKER_00 |
transcript.pyannote[392].start |
1847.43846875 |
transcript.pyannote[392].end |
1848.24846875 |
transcript.pyannote[393].speaker |
SPEAKER_01 |
transcript.pyannote[393].start |
1848.23159375 |
transcript.pyannote[393].end |
1848.99096875 |
transcript.pyannote[394].speaker |
SPEAKER_00 |
transcript.pyannote[394].start |
1849.44659375 |
transcript.pyannote[394].end |
1853.96909375 |
transcript.pyannote[395].speaker |
SPEAKER_00 |
transcript.pyannote[395].start |
1854.40784375 |
transcript.pyannote[395].end |
1855.72409375 |
transcript.pyannote[396].speaker |
SPEAKER_01 |
transcript.pyannote[396].start |
1860.36471875 |
transcript.pyannote[396].end |
1864.97159375 |
transcript.whisperx[0].start |
1.67 |
transcript.whisperx[0].end |
27.006 |
transcript.whisperx[0].text |
韓院長早安現在我們要先請園民會的主委曾主委麻煩請園民會備詢卓院長先休息一下但是呢也請你好好聽一下我對曾主委的質詢好嗎謝謝 |
transcript.whisperx[1].start |
34.329 |
transcript.whisperx[1].end |
59.455 |
transcript.whisperx[1].text |
委員好曾志偉早安早在今年的3月12號您率領你的主管來我的辦公室做業務報告我看得出來您是有心要做事而且有心要改變但是很遺憾的是您身邊的幕僚恐怕正在拖累整個人民會因為他們做出很多錯誤的決策甚至還發布了一些問題百出的新聞 |
transcript.whisperx[2].start |
60.495 |
transcript.whisperx[2].end |
84.451 |
transcript.whisperx[2].text |
而首先呢我現在要先跟你談的是我看到園民會的第一個問題就是人力流動率非常的驚人在新莊聯合辦公大樓的不僅僅只有園民會還有文化部跟治安署園民會呢你們有198名的正式人員短短的10個月裡面異動了45個人這將近四分之一耶 |
transcript.whisperx[3].start |
85.191 |
transcript.whisperx[3].end |
111.247 |
transcript.whisperx[3].text |
我們對比文化部、職安署他們都是以內部升遷為主而原民會呢都是申請外調這高達了29個人超過了六成啊好可怕你看這個數據沒有而今年的1月行政院提出的霸凌案件報告裡面也大聲的疾呼要落實總統改變職產文化杜絕霸凌的政策指示 |
transcript.whisperx[4].start |
111.767 |
transcript.whisperx[4].end |
127.947 |
transcript.whisperx[4].text |
要確保公務體系能夠健康的運作同時也承諾行政院院長要要求各機關全面清查是不是存在霸凌的行為並且要迅速調查跟依法處理請問主委原民會 |
transcript.whisperx[5].start |
129.208 |
transcript.whisperx[5].end |
146.689 |
transcript.whisperx[5].text |
這麼多人的離開這代表園民會的職場環境是讓人待不下去的大家不是升遷而是紛紛的逃離請問一下你是不是有全面清查調查是不是有職場霸凌或者是管理上的問題好 謝謝委員的指教 |
transcript.whisperx[6].start |
147.458 |
transcript.whisperx[6].end |
169.857 |
transcript.whisperx[6].text |
我要跟委員講 延民會的流動力這麼高 不是現在才有我來了以後才知道 因為延民會沒有宿舍那我們大部分都是從延鄉來的我們的族人甚至於他們在考試填字驗的時候 也不太喜歡填延民會因為這嚴重影響到他的生活主委 我在立法院已經23年了 |
transcript.whisperx[7].start |
171.698 |
transcript.whisperx[7].end |
188.092 |
transcript.whisperx[7].text |
第一次園民會流動率那麼高您剛剛講的問題是長年存在的問題這十個月當中還不到一年所以你是不是在這邊承諾我要回去調查一下可不可以一個月之內給我一些你們調查的書面報告可以嗎可以 |
transcript.whisperx[8].start |
189.113 |
transcript.whisperx[8].end |
216.934 |
transcript.whisperx[8].text |
好 謝謝現在我要跟你談業務執行你們荒腔走板的例子比比皆是我們就拿禁法補償這個問題來說去年本席在這兩次的院會執行裡面你一再的護航說禁法補償的公務與預算不足可以用綜合發展基金來支應可是事實是這樣嗎沒有 貴會提出的最佳預算的申請你們清楚的寫說 |
transcript.whisperx[9].start |
218.195 |
transcript.whisperx[9].end |
232.844 |
transcript.whisperx[9].text |
需要将近24亿元而我在今年也查了三月份最新的报表我们的基金扣掉负债之后可以动用的现金剩不到14亿这是根本不够用的 |
transcript.whisperx[10].start |
233.624 |
transcript.whisperx[10].end |
262.119 |
transcript.whisperx[10].text |
您知道嗎?但是沒關係主委您應該知道11月7號我們的行政院長他承諾他的錯誤他要用追加預算來補救淨法補償請問一下主委今年9月我們的族人可以如期領到一公頃6萬塊的淨法補償金嗎?謝謝 可以可以嗎?可以 我們有提出追加這個預算就是補足那個你已經提出追加預算了嘛但是院長已經核定了嗎? |
transcript.whisperx[11].start |
262.864 |
transcript.whisperx[11].end |
275.431 |
transcript.whisperx[11].text |
目前還沒有但是我相信院長會好謝謝您好希望您的回答院長聽到了我們再來看一下剛剛三讀通過的原民會組織法裡面有關族群委員無己職的議題原民會你們發新聞稿說 |
transcript.whisperx[12].start |
280.526 |
transcript.whisperx[12].end |
304.871 |
transcript.whisperx[12].text |
族群委員名單不是主委你一個人的一舉一制之決定而是依照各界公推還有透過審查的結果實際上根本沒有公開推薦的程序啊絕大部分的族人也不清楚知道我們族群委員的功能是什麼最後我們看到的就是一片綠油油立委的助理國家養另外呢 族群委員的人事費 |
transcript.whisperx[13].start |
305.871 |
transcript.whisperx[13].end |
335.311 |
transcript.whisperx[13].text |
我們希望他改聘正式的公務員的這個議題上原民會你們又發新聞稿說這個決議是沒有法律效力的沒有辦法實質保障主任的權益但是主委你看一下人事行政總署在1月6號發函給你們原民會要要求你們配合修法然後請你們評估人力的需求並且要循程序函報行政院 |
transcript.whisperx[14].start |
335.871 |
transcript.whisperx[14].end |
342.061 |
transcript.whisperx[14].text |
主委这是你没有无视法律呢还是你的幕僚在欺骗你给你错误的讯息 |
transcript.whisperx[15].start |
342.796 |
transcript.whisperx[15].end |
371.224 |
transcript.whisperx[15].text |
委員我跟妳報告因為刪除掉了這個族群委員那當然對我們的一些行政量能真的是沒有我現在跟你講的是我們刪除了這些無給值的這些預算之後把這個錢拿去改聘為正式的公務員而且我們的附帶決議也這麼說可是呢你們卻說這個是沒有法律效力的可是人事行政總署已經告訴你們啦要求你們配合啊 |
transcript.whisperx[16].start |
371.904 |
transcript.whisperx[16].end |
393.272 |
transcript.whisperx[16].text |
主委所以你們真的實在是你要進入狀況我很擔心你的幕僚都在欺騙你啊不是欺騙啦委員我跟你講再來再來再來我們來看一下員警吧主席委員的這個聘任從以前就是這樣子的進行嘛主委主委人事總處已經告訴你了他是有法律效力的啦所以請你們園民會要配合修法看到了沒有 |
transcript.whisperx[17].start |
393.632 |
transcript.whisperx[17].end |
418.204 |
transcript.whisperx[17].text |
我們也有配合請就說有一些我們希望已經請你配合修法了來再來我現在要跟你談的是原基法原基法在一百零四年徵訂了第二之一條要要求設置部落公法人可是呢民進黨執政這八年來申不出一個部落公法人現在你們園民會申出了一個叫做什麼公法人事辦計畫 |
transcript.whisperx[18].start |
419.505 |
transcript.whisperx[18].end |
438.927 |
transcript.whisperx[18].text |
然後我們看到這個事辦計畫的草案目前規劃是每一個部落要給他一百萬人事費就佔了六成六十萬然後業務費佔了四成四十萬請問一下主委部落公法人事辦計畫是不是有限定部落的數額 |
transcript.whisperx[19].start |
440.849 |
transcript.whisperx[19].end |
466.959 |
transcript.whisperx[19].text |
我跟委員報告為什麼要有事辦這個計畫因為我來之後我想講了這麼多年都沒有辦所以原住民的支持一直是停頓我希望說找幾個部落我們負責任的來找幾個部落為什麼要找這幾個部落是有原因的我們認為這個部落不管是村長代表部落會議的主席還有地方的核心幹部可以 |
transcript.whisperx[20].start |
467.608 |
transcript.whisperx[20].end |
495.741 |
transcript.whisperx[20].text |
比較能夠有一些共識所以我們希望找這幾個部落做得成功之後讓其他的部落也來看主委我聽到您的說法了我覺得您的說法是沒有辦法說服族人的啦因為你們沒有公開說明沒有公開堆建沒有公開審查這是不是又是一個綠油有事半板然後呢部落應該是由下而上不應該有園民會你們密室圈定啊 |
transcript.whisperx[21].start |
496.281 |
transcript.whisperx[21].end |
520.2 |
transcript.whisperx[21].text |
所以我在這邊要求你要公開決策公平然後建立民主參與跟資訊的透明機制讓全國七百多個部落都有公平競爭的機會畢竟人事費六十萬業務費四十萬這是一百萬不少的金額對部落的族人來說它會是另外一個人事的安排不是嗎我跟委員報告 |
transcript.whisperx[22].start |
524.903 |
transcript.whisperx[22].end |
546.398 |
transcript.whisperx[22].text |
這確實不是利有有的部落啊那請問一下你現在核定的這些部落他們有公開說明嗎現在核定的部落有幾個我們有下去跟他們做溝通做說明啊我們700多個部落裡面你是怎麼樣公開跟大家來說呢部落是如何來跟你原民會申報計畫呢這些你都沒有說明啊好啦 接下來我要跟你談預算 |
transcript.whisperx[23].start |
547.679 |
transcript.whisperx[23].end |
574.871 |
transcript.whisperx[23].text |
在114年度的预算里面原民会你们新闻稿又对外说什么对于推动族语教会的一亿一千万元的预算要采取冻结的措施这严重冲击到部落发展看到新闻稿我真的是摇头我觉得你们原民会是不是人格分裂了因为我们在提这份说明的时候这个提案的时候说明清清楚楚这反映的是基层的现况 |
transcript.whisperx[24].start |
575.451 |
transcript.whisperx[24].end |
592.043 |
transcript.whisperx[24].text |
因为有族人跟我还有原民会的教文处反映相同的意见这个意见是什么就是针对推动落实族语生活化的执行意见我们看一下同样是执行落实族语生活化的族语保姆的政策 |
transcript.whisperx[25].start |
592.964 |
transcript.whisperx[25].end |
611.295 |
transcript.whisperx[25].text |
他有非常嚴謹的查核機制還有訪視人員還有專管中心而主語教會沒有欸甚至連審查主語教會核銷的會計事務所他們都發出聲明這個聲明說什麼看一下非依照審計準則查核 |
transcript.whisperx[26].start |
613.12 |
transcript.whisperx[26].end |
640.707 |
transcript.whisperx[26].text |
因此对上述各受奖励的单位也就是各教会的运作情形他的整体是不是允荡表达什么不提供任何程度的确信主委您看一下连会计事务所他们都不甘帮圆明会跟教会背书了这里面是不是有很大的问题啊所以呢本席就跟教文处一起开会我们做出了结论 |
transcript.whisperx[27].start |
641.387 |
transcript.whisperx[27].end |
666.149 |
transcript.whisperx[27].text |
我們把這些預算先暫時凍結然後來修訂原住民族語言發展補助辦法然後把族語教會族語保姆語推組織等等這些團體或者是個人未來他都可以申請到原民會的經費補助而且很重要的是不受年限的限制主委你應該知道族語教會的政策是根據 |
transcript.whisperx[28].start |
667.61 |
transcript.whisperx[28].end |
695.667 |
transcript.whisperx[28].text |
國家語言整體發展方案這五年計畫 對吧到116年就沒有主語教會的政策了耶所以我們修訂這個辦法就是為了未來我們主語推廣的政策可以更擴大適用對象並且要常態性的補助沒有年限的我跟委員報告你難道不支持嗎我們改過這個補助的辦法一樣的教會也要循這個辦法來 |
transcript.whisperx[29].start |
697.988 |
transcript.whisperx[29].end |
721.056 |
transcript.whisperx[29].text |
這正是我要跟您說的很好主委您是支持的因為這個新版原住民族語言發展補助辦法就在4月17號的時候已經按照我們所謂的解凍條件已經修正發布了嘛對不對所以可見本席這個提案是有正當理由的我們不是在為難你們機關 |
transcript.whisperx[30].start |
722.737 |
transcript.whisperx[30].end |
749.131 |
transcript.whisperx[30].text |
如今呢你們也已經辦理完成事項了但是主委解凍報告還沒有送到立法院主委你當初都說了凍結這個案會衝擊不過可是現在可以解凍了可是現在已經可以解凍了很快就會提出來我們現在再整理可是你的意見好像跟行政院長不太一樣 |
transcript.whisperx[31].start |
749.551 |
transcript.whisperx[31].end |
753.633 |
transcript.whisperx[31].text |
同樣是114年的預算我要現在跟你談的是南島民主論壇的問題更是離譜了 |
transcript.whisperx[32].start |
773.24 |
transcript.whisperx[32].end |
801.446 |
transcript.whisperx[32].text |
南岛民主論壇從109年到114年這是總共六年計劃所以從109年到113年已經花費了我們的公務預算2.2億也是佔全部公務預算的2.5億的九成所以我之前就請人民會請你們提出效益的分析你們給我的報告裡面最重要的成果是什麼華西巴黎的音樂祭對吧 |
transcript.whisperx[33].start |
802.23 |
transcript.whisperx[33].end |
826.544 |
transcript.whisperx[33].text |
我仔細一看 華西巴黎的音樂劇根本不是用南島民族論壇的經費啊你們怎麼可以這麼樣的一花接木的這樣子提出報告啊 主委然後你的新聞稿又講什麼刪除預算勢必會嚴重打擊國際信任度跟外交處境請問一下圓圓會 你們是外交部嗎 |
transcript.whisperx[34].start |
827.484 |
transcript.whisperx[34].end |
850.097 |
transcript.whisperx[34].text |
還是說外交部他們連邦交都顧不好然後要拜託你們去做我還沒請你回答主委我要問你我要問你南島民主論壇到底創造了多少部落的工作機會為族人帶來了多少經濟效益你要不要再跟我講巴西瓦里喔巴西瓦里不是用這筆預算喔 |
transcript.whisperx[35].start |
851.36 |
transcript.whisperx[35].end |
878.118 |
transcript.whisperx[35].text |
我跟妳報告 這幾年來我們跟南島 特別是南島語系的不管是帛琉 不管是土豪魯 不管是馬紹爾我們原住民對國家有貢獻請問對部落造成了多少的工作機會然後多少的經濟效益我們花了這麼多錢總是要有一些經濟效益啊 |
transcript.whisperx[36].start |
878.618 |
transcript.whisperx[36].end |
894.336 |
transcript.whisperx[36].text |
我也有跟你們講我們很多這些國家的留學生在台灣甚至於很多的大使來我們都請到部落去讓他們真正的感受到原住民的部落是什麼樣的狀況帶來了多少經濟效應這個部分是外交部做不到的 |
transcript.whisperx[37].start |
894.876 |
transcript.whisperx[37].end |
896.797 |
transcript.whisperx[37].text |
那些南島國家是我們自己的弟兄姊妹 |
transcript.whisperx[38].start |
915.981 |
transcript.whisperx[38].end |
933.449 |
transcript.whisperx[38].text |
主委你不是外交部你是園民會我們幫得上外交部的忙我覺得原住民很驕傲不要在這邊辯解了你不是外交部你是園民會再來園民會今年的預算是不是增加13億我們是不是根本沒有刪你們的基本設施維持費 |
transcript.whisperx[39].start |
934.349 |
transcript.whisperx[39].end |
947.177 |
transcript.whisperx[39].text |
基本設施維持費沒有刪預算增加基本設施費也沒有刪可是呢你們園民會竟然發公文恐嚇我們鄉鎮市公所說看一下 |
transcript.whisperx[40].start |
948.485 |
transcript.whisperx[40].end |
977.135 |
transcript.whisperx[40].text |
補助項目要先凍結50%要回收重新核定重新調整預算結構後續要滾動調整主委你知道嗎基本設施維持費是本席在立法院這23年來替原鄉的鄉長爭取的另外的預算你們現在說要凍結50%然後要收回要全部要重新滾動調整請問一下你們為什麼要這麼做 |
transcript.whisperx[41].start |
978.305 |
transcript.whisperx[41].end |
987.736 |
transcript.whisperx[41].text |
委員我跟你講即便是刪 即便是動了預算有關這些我們社府的一些經費就是補助一些弱勢團體的從來沒有斷過但是這個基本設施費 |
transcript.whisperx[42].start |
993.624 |
transcript.whisperx[42].end |
1015.854 |
transcript.whisperx[42].text |
是公所的一些基本設施的一些維持沒有做好立法院沒有刪除你們這筆預算啊那你們為什麼要公然的發公文給原鄉的公署我們要終結預算啊我們要終結預算來看就是說也很誠懇的跟公司講請你們按照科目我們不是刪掉請你們按照科目先50%而已嘛我們沒有刪也沒有凍結你憑什麼要凍結鄉公所的這50%預算好我們現在我要再問您 |
transcript.whisperx[43].start |
1023.188 |
transcript.whisperx[43].end |
1037.597 |
transcript.whisperx[43].text |
我們根本沒有刪這個預算 原民會的預算也增加了13億你們也不斷的發新聞稿 向我們的國人說推廣原住民族政策 編列的政策宣導費用3696萬元也遭到我們在野黨全數刪除該會未來就沒有辦法透過媒體來傳遞相關政策的資訊 |
transcript.whisperx[44].start |
1048.443 |
transcript.whisperx[44].end |
1075.625 |
transcript.whisperx[44].text |
導致族人錯失重要的權益請問族委我們沒有園民台嗎園民台每年拿我們人民納稅錢五億卻沒有辦法傳遞資訊嗎而你們園民會的錯誤宣導只會混淆視聽散佈錯誤的資訊預算明明是增加的你們卻還趕預算不夠然後你們一邊又花大錢散佈假消息這樣的園民會族人能夠接受嗎你們這樣子胡搞小搞難道 |
transcript.whisperx[45].start |
1076.886 |
transcript.whisperx[45].end |
1097.633 |
transcript.whisperx[45].text |
立法委員不應該好好監督你們嗎然後我們再看到原民會你們惡意散佈假消息之後民進黨的側翼就接著混淆視聽了請問主委台大園圖中心今年度流標是因為禁法補償的關係還是因為財化法的關係你知道嗎民進黨的側翼一直講是因為禁法補償和財化法的關係 |
transcript.whisperx[46].start |
1099.213 |
transcript.whisperx[46].end |
1121.567 |
transcript.whisperx[46].text |
看一下公文原民會1月23號回文告訴我台大沿途中心的流標是因為常年入管人士效益不彰再加上推廣活動另外外包辦理這導致招標金額比去年少請問是你說謊還是民進黨的側翼者說謊現在給你機會來澄清你講的這個本來是在台大來做 |
transcript.whisperx[47].start |
1124.412 |
transcript.whisperx[47].end |
1136.045 |
transcript.whisperx[47].text |
你已經回文給我了啦是因為他的入管人事效益不彰嘛所以不是禁法補償跟財化法的關係嘛對嗎好 謝謝現在我要再跟你談財政劃分授之法 |
transcript.whisperx[48].start |
1140.129 |
transcript.whisperx[48].end |
1153.141 |
transcript.whisperx[48].text |
你們的新聞稿說財政劃分修正影響了運作更將會嚴重衝擊援助民族的地區鄉鎮區公所的財政跟地方建設的發展請問一下財政收支劃分法修了哪幾條 |
transcript.whisperx[49].start |
1155.542 |
transcript.whisperx[49].end |
1167.777 |
transcript.whisperx[49].text |
這個我所知道的財政收支方法如果修了幾條你連修了幾條都講不出來然後精算的結果會影響多少原鄉的這些財政你都不知道會影響公所的財政啊 |
transcript.whisperx[50].start |
1170.64 |
transcript.whisperx[50].end |
1193.677 |
transcript.whisperx[50].text |
我問過主計總署 主計總署告訴我 園民會的預估只是可能延伸的情形 不是實際的狀況你連修了哪幾條也沒有辦法講出實際狀況你還要恐嚇主委主委這是你應該做的事情嗎那你知道我提的財化法是要求行政院額外找到支持園鄉的薰球請問你支持我的修法嗎 |
transcript.whisperx[51].start |
1194.677 |
transcript.whisperx[51].end |
1204.71 |
transcript.whisperx[51].text |
額外給縣市政府...你不用轉了啦,謝謝我請卓院長如果我們的額度一樣封鎖,不一定能夠...時間暫停一下好不好,謝謝麻煩請卓院長背信我現在請卓院長 |
transcript.whisperx[52].start |
1212.915 |
transcript.whisperx[52].end |
1233.849 |
transcript.whisperx[52].text |
主委你要更加努力我知道你很認真但是你有一些幕僚真的在欺騙你請問一下院長你剛剛看到了我舉了那麼多園民會的問題它是嚴重失能而且人力流失非常的嚴重人事混亂決策錯誤假消息是滿天飛 |
transcript.whisperx[53].start |
1234.87 |
transcript.whisperx[53].end |
1245.575 |
transcript.whisperx[53].text |
我在這邊要求你責成園民會一個月之內調查我們人員外流的原因然後整頓人事團隊並且要停止散發誤導性的新聞稿 可以嗎 |
transcript.whisperx[54].start |
1248.944 |
transcript.whisperx[54].end |
1264.766 |
transcript.whisperx[54].text |
請主委能夠一個月內調查人員外流的原因同時對這個會內的人事團隊要做精神上的鼓勵那麼有沒有發布誤導性的新聞可以檢討沒有的話要向委員說明 |
transcript.whisperx[55].start |
1265.086 |
transcript.whisperx[55].end |
1288.787 |
transcript.whisperx[55].text |
好謝謝院長我要問你的就是金髮補償的問題在9月行政院遭到外界的批判了之後花了49天你們認錯不救了現在呢114年度的總預算也已經公佈原民會的追加預算也已經送到你的行政院了院長請問一下追加預算什麼時候會送進立法院金髮補償這一個 |
transcript.whisperx[56].start |
1291.235 |
transcript.whisperx[56].end |
1311.581 |
transcript.whisperx[56].text |
預算不夠的問題我們經過朝野黨團在行政院裡面溝通協調才達成共識並不是行政院認錯我們是協商主任最關心的是到底能不能夠在九月份的時候領到一公頃六萬塊的補償金跟委員報告現在我們針對 |
transcript.whisperx[57].start |
1312.847 |
transcript.whisperx[57].end |
1335.13 |
transcript.whisperx[57].text |
因美國這個關稅的調整世界貿易重整我們現在這個階段第一要向國人提出的是我們未來在這個禮拜之內要提出的特別條例跟特別預算我問您的是我的族人能不能拿到一公頃六萬塊看一下這不只是影響族人權益喔還關係到你們政黨某位立法委員的政治承諾喔請您聽一下 |
transcript.whisperx[58].start |
1345.455 |
transcript.whisperx[58].end |
1364.802 |
transcript.whisperx[58].text |
請問院長這很嚴重耶請問一下九月份到底族人能不能領到一公頃六萬塊的補償因為剛剛族委說可以領得到我們在處理特別條例特別預算之後我們會統合整個今年度的總預算到底被刪減的數字該怎麼處理之後一併就整體的最佳預算送出 |
transcript.whisperx[59].start |
1365.97 |
transcript.whisperx[59].end |
1370.337 |
transcript.whisperx[59].text |
請問一下監察院已經針對預算提出釋憲了行政院要跟進嗎 |
transcript.whisperx[60].start |
1371.668 |
transcript.whisperx[60].end |
1400.438 |
transcript.whisperx[60].text |
這一定會對預算案跟財劃法所以我問候主席總書行政院一旦跟進並且憲法法庭財準暫時處分就無法處理追加預算即便剛剛我們考慮用綜合發展基金可是看一下到三月底可以動用的現金不到14億遠遠沒有辦法支應24億的預算缺口我再問你一次請你正面的回答我的族人九月份到底能不能領到 |
transcript.whisperx[61].start |
1401.218 |
transcript.whisperx[61].end |
1422.108 |
transcript.whisperx[61].text |
一公頃六萬塊的補償金如果行政院對預算案跟裁劃法提出釋憲如果提出釋憲也併同暫時處分的話影響的就不只是這十四億二十四億而已所以到底能不能領到我們會努力在特別預算特別條例特別預算之後和現在 |
transcript.whisperx[62].start |
1423.629 |
transcript.whisperx[62].end |
1446.572 |
transcript.whisperx[62].text |
立法院向校行政院自行刪除的部分現在還沒有辦法刪除所以到底能不能領到剛剛主委說可以領到你們的執政黨的委員說如果沒有領到他要辭職我要請院長記住不論是你也好還是剛剛那位執政黨的立法委員我們的族人如果不能夠在九月份如期領到一公頃六萬塊的補償金的話 |
transcript.whisperx[63].start |
1448.033 |
transcript.whisperx[63].end |
1467.724 |
transcript.whisperx[63].text |
後果你們要自己承擔喔也請你們負起責任接下來我要講的是當前世界上最重要的事情也是台灣人民最關心的那就是美國對等關稅的議題從4月2號到現在政府團隊在應對對等關稅這件事情上你們不但錯估形勢而且手忙腳亂 |
transcript.whisperx[64].start |
1468.684 |
transcript.whisperx[64].end |
1486.816 |
transcript.whisperx[64].text |
你們也沒有做好最好的準備做最壞的打算你們只知道盲目的順從美國的政府的號令比起民進黨政府被動的被川普吃乾媽勁我覺得新加坡總理黃巡柴先生的態度更令我尊敬看一下黃總理他在4月8號國會發言的時候他說 |
transcript.whisperx[65].start |
1489.218 |
transcript.whisperx[65].end |
1514.598 |
transcript.whisperx[65].text |
对于美国宣布向新加坡征收10%的对等关税他感到失望他说新美有深厚的友谊这不是对朋友应该有的行为他还说美国只着重于货物贸易但是实际上美国跟许多服务贸易伙伴都保持着顺差美国向世界出口软体服务 |
transcript.whisperx[66].start |
1515.118 |
transcript.whisperx[66].end |
1539.505 |
transcript.whisperx[66].text |
教育 娱乐 金融和商业服务等等我们可以看到尽管新加坡政府他也宣布了不在对等关税上面来报复美国但是黄总理他不卑不亢他诚恳说了实话他为什么呢我们民进党你们就不能够对这个所谓的坚弱磐石的朋友表示失望 |
transcript.whisperx[67].start |
1540.245 |
transcript.whisperx[67].end |
1560.592 |
transcript.whisperx[67].text |
你們為什麼不能夠用朋友的道義來要求美國呢而這樣的友誼難道不該懷疑嗎我在這五年來我一直對美國的對台政策跟你們發出警示我們為什麼要開放萊豬進口我們為什麼要放寬美國農藥殘留量的管制 |
transcript.whisperx[68].start |
1561.252 |
transcript.whisperx[68].end |
1586.566 |
transcript.whisperx[68].text |
我们为什么要接受美国提出来的台湾学人法案然后让美国官员到我们政府工作我们为什么要签署那个对我们贸易谈判根本非常不利的台美贸易倡议我们为什么要把九成以上的外汇存顶大把大把的去买美债而我的这些疑问其实呢总结起来就是一句话 |
transcript.whisperx[69].start |
1587.446 |
transcript.whisperx[69].end |
1611.662 |
transcript.whisperx[69].text |
一昧的依靠美国就是死路一条但是纵使我说了这么多可是民进党政府你们就是不听美国政府说什么民进党政府你们就做什么你们还贴飘签说我是以美论结果呢川普政府现在所做的行为在我们看来就是以美啊 |
transcript.whisperx[70].start |
1612.623 |
transcript.whisperx[70].end |
1641.602 |
transcript.whisperx[70].text |
還原美國是必要的因為只有這樣我們才能夠獨立自主的做出最有利於人民的判斷這一次的對等關稅對台灣人民來說是災難而我們的賴總統卻要人民吃苦當吃補院長不向美國報復並不等於就該全面投降您認為呢台灣當然不會向任何一個國家投降包括美國包括中國在內 |
transcript.whisperx[71].start |
1642.95 |
transcript.whisperx[71].end |
1658.982 |
transcript.whisperx[71].text |
但是我們對於川普總統的新的關稅政策我們在4月4號的記者會當中我們就說過了這是一個不合理的計算公式我們一定會提出嚴正的反應很好 我們都說過了4月4號但是呢 我們賴總統 |
transcript.whisperx[72].start |
1660.223 |
transcript.whisperx[72].end |
1677.074 |
transcript.whisperx[72].text |
他已經把底線都告訴了美國我們不會採取報復的證據在4月15號的時候有委員質詢你政府是不是有考慮要加碼持有美戰你說內部是有準備的我們任何選項都有討論不一定採行這樣的方式看一下最近外傳 |
transcript.whisperx[73].start |
1677.994 |
transcript.whisperx[73].end |
1701.145 |
transcript.whisperx[73].text |
美国可能要逼迫美债的债权人将所持有的美债换成一百年期的临时债券针对这件事情中央银行总裁杨金龙他也回应说如果真的是这么样的转换那就相当是美债的倒债了那您之前有说关于加码持有美债政府内部有准备请问是准备什么 |
transcript.whisperx[74].start |
1701.525 |
transcript.whisperx[74].end |
1721.119 |
transcript.whisperx[74].text |
是加碼呢 還是轉換呢應該更正 我說我們任何的選項都在我到底會不會要現在問你的是美債的問題對 它也當然是一個選項你們是加碼還是轉換我們在我們的方案裡面如果沒有提出來那就是不是我們的方案所以你認為購買美債再加碼美債不是你們的方案 |
transcript.whisperx[75].start |
1721.804 |
transcript.whisperx[75].end |
1745.216 |
transcript.whisperx[75].text |
這是一個選項,但是我們如果最後重整沒有提出來,那就是不是我們選舉的內容。好啦,我要在這裡告訴您的是,院長,不管是加碼還是轉換,結果都是楊金龍總裁他所說的,倒在。而經過川普這麼樣的震撼教育,台灣全民其實都聰明了,大家都在看,也都在等。 |
transcript.whisperx[76].start |
1746.328 |
transcript.whisperx[76].end |
1765.726 |
transcript.whisperx[76].text |
不是您在這邊一直三言兩語撥開重點在這邊打詢的態度我想台灣人民現在正面臨的是生死存亡的大事所以我們是要非常嚴肅的看待這樣的事情我們非常嚴肅 |
transcript.whisperx[77].start |
1766.807 |
transcript.whisperx[77].end |
1791.103 |
transcript.whisperx[77].text |
我們也從4月4號提出的9個面向20項措施當中也告訴國人我們對產業的支持所以我們先前是有準備的我們也提升了那我們現在的策略是備妥所有的協調談判的方案內容隨時準備啟動在第一次的正式視訊會議之後隨時準備下一次任何形式的談判請問第一次視訊會議你們的結論是什麼 |
transcript.whisperx[78].start |
1793.665 |
transcript.whisperx[78].end |
1821.463 |
transcript.whisperx[78].text |
我們說過了雙方對於對等關稅非關稅貿易障礙以及包括出口管制在內的多項議題都進行了交換意見現在我們要把這些意見重整之後等待下一次應該很快就會到來跟美方進行的談判第二次談判會是什麼時候這個因為美方還要針對很多的國家但是我敢跟委員說我們已經是在優先的國家行列當中多優先很優先 |
transcript.whisperx[79].start |
1822.738 |
transcript.whisperx[79].end |
1847.986 |
transcript.whisperx[79].text |
獨優宣媒我有告訴您什麼時候嗎我們認為我們應該在因為第一波的這個國家大概應該都這樣接觸像日本他也接觸過了其他也接觸過了我們認為我們會爭取最優先的時間你們認為會是在什麼時候九月以後嗎九月以後九月以後九月以後就超過了九十天了九月之前當然之前 |
transcript.whisperx[80].start |
1850 |
transcript.whisperx[80].end |
1854.824 |
transcript.whisperx[80].text |
最後我還是要說不像美國低頭並不等於就該全面投降請你們堅持 |