IVOD_ID |
162031 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162031 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-26-14 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第14次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
14 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第14次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-28T11:52:33+08:00 |
結束時間 |
2025-05-28T12:11:58+08:00 |
影片長度 |
00:19:25 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f246b1470d342d99ccee795f59f7b69f6aea3426710e0a50eed604f80897a2691b05ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
劉建國 |
委員發言時間 |
11:52:33 - 12:11:58 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第14次全體委員會議(事由:一、處理114年度中央政府總預算決議有關衛生福利部主管預算凍結報告案64案(含報告事項51案及討論事項13案)。
二、審查
(一)行政院函請審議「兒童托育服務法草案」案。
(二)委員林月琴等16人擬具「兒童托育服務法草案」案。
(三)委員何欣純等16人擬具「兒童托育服務法草案」案。
(四)委員王育敏等24人擬具「兒童托育服務法草案」案。
(五)委員邱若華等16人擬具「兒童托育服務法草案」案。
(六)委員黃捷等21人擬具「兒童托育服務法草案」案。
(七)委員蔡易餘等17人擬具「兒童托育服務法草案」案。
(八)委員李坤城等22人擬具「兒童托育服務法草案」案。
(九)委員陳培瑜等19人擬具「兒童托育服務法草案」案。
(十)委員郭昱晴等21人擬具「兒童托育服務法草案」案。
(十一)委員陳素月等16人擬具「兒童托育服務法草案」案。
(十二)委員鄭天財SraKacaw等18人擬具「兒童托育服務法草案」案。
(十三)委員王美惠等19人擬具「兒童托育服務法草案」案。
(十四)委員林淑芬等25人擬具「兒童托育服務法草案」案。
(十五)委員王正旭等18人擬具「兒童托育服務法草案」案。
(十六)委員吳沛憶等18人擬具「兒童托育服務法草案」案。
三、
(一)繼續審查委員王育敏等18人擬具「病人自主權利法部分條文修正草案」案。
(二)繼續審查委員劉建國等16人擬具「病人自主權利法部分條文修正草案」案。
(三)繼續審查委員邱志偉等19人擬具「病人自主權利法第八條、第九條及第十五條條文修正草案」案。
(四)審查委員李柏毅等16人擬具「病人自主權利法第九條條文修正草案」案。
(五)審查委員羅廷瑋等16人擬具「病人自主權利法增訂第十六條之一條文草案」案。
【第一案及第二案,綜合詢答】
【二、第(一)、(六)及(七)案,如經復議則不予審查;第(八)至(十六)案,如未經各黨團簽署不復議同意書,則不予審查】
【三、(四)及(五)案,如經復議,則不予審查】
【5月28日及29日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
3.40596875 |
transcript.pyannote[0].end |
4.19909375 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
4.68846875 |
transcript.pyannote[1].end |
7.20284375 |
transcript.pyannote[2].speaker |
SPEAKER_05 |
transcript.pyannote[2].start |
7.70909375 |
transcript.pyannote[2].end |
8.38409375 |
transcript.pyannote[3].speaker |
SPEAKER_04 |
transcript.pyannote[3].start |
10.02096875 |
transcript.pyannote[3].end |
14.89784375 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
15.65721875 |
transcript.pyannote[4].end |
19.23471875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
19.23471875 |
transcript.pyannote[5].end |
19.40346875 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
19.40346875 |
transcript.pyannote[6].end |
27.67221875 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
28.68471875 |
transcript.pyannote[7].end |
30.86159375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
29.61284375 |
transcript.pyannote[8].end |
47.80409375 |
transcript.pyannote[9].speaker |
SPEAKER_04 |
transcript.pyannote[9].start |
36.31221875 |
transcript.pyannote[9].end |
42.15096875 |
transcript.pyannote[10].speaker |
SPEAKER_04 |
transcript.pyannote[10].start |
42.79221875 |
transcript.pyannote[10].end |
42.97784375 |
transcript.pyannote[11].speaker |
SPEAKER_04 |
transcript.pyannote[11].start |
47.53409375 |
transcript.pyannote[11].end |
52.36034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
52.69784375 |
transcript.pyannote[12].end |
53.49096875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
55.24596875 |
transcript.pyannote[13].end |
56.89971875 |
transcript.pyannote[14].speaker |
SPEAKER_04 |
transcript.pyannote[14].start |
55.58346875 |
transcript.pyannote[14].end |
56.91659375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
56.91659375 |
transcript.pyannote[15].end |
57.50721875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
57.59159375 |
transcript.pyannote[16].end |
62.73846875 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
63.19409375 |
transcript.pyannote[17].end |
66.55221875 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
63.49784375 |
transcript.pyannote[18].end |
68.30721875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
67.15971875 |
transcript.pyannote[19].end |
67.44659375 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
68.30721875 |
transcript.pyannote[20].end |
68.35784375 |
transcript.pyannote[21].speaker |
SPEAKER_04 |
transcript.pyannote[21].start |
68.35784375 |
transcript.pyannote[21].end |
68.37471875 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
68.37471875 |
transcript.pyannote[22].end |
68.42534375 |
transcript.pyannote[23].speaker |
SPEAKER_04 |
transcript.pyannote[23].start |
68.42534375 |
transcript.pyannote[23].end |
68.50971875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
68.50971875 |
transcript.pyannote[24].end |
70.87221875 |
transcript.pyannote[25].speaker |
SPEAKER_04 |
transcript.pyannote[25].start |
70.87221875 |
transcript.pyannote[25].end |
73.18409375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
71.02409375 |
transcript.pyannote[26].end |
71.27721875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
71.39534375 |
transcript.pyannote[27].end |
79.93409375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
79.96784375 |
transcript.pyannote[28].end |
80.96346875 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
80.96346875 |
transcript.pyannote[29].end |
87.62909375 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
83.51159375 |
transcript.pyannote[30].end |
84.35534375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
88.30409375 |
transcript.pyannote[31].end |
104.41971875 |
transcript.pyannote[32].speaker |
SPEAKER_04 |
transcript.pyannote[32].start |
92.94471875 |
transcript.pyannote[32].end |
92.96159375 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
95.56034375 |
transcript.pyannote[33].end |
97.02846875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
98.76659375 |
transcript.pyannote[34].end |
99.03659375 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
100.01534375 |
transcript.pyannote[35].end |
100.47096875 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
104.01471875 |
transcript.pyannote[36].end |
108.65534375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
104.65596875 |
transcript.pyannote[37].end |
105.14534375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
108.65534375 |
transcript.pyannote[38].end |
108.75659375 |
transcript.pyannote[39].speaker |
SPEAKER_04 |
transcript.pyannote[39].start |
108.75659375 |
transcript.pyannote[39].end |
108.80721875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
108.80721875 |
transcript.pyannote[40].end |
110.37659375 |
transcript.pyannote[41].speaker |
SPEAKER_04 |
transcript.pyannote[41].start |
109.56659375 |
transcript.pyannote[41].end |
109.58346875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
109.58346875 |
transcript.pyannote[42].end |
110.41034375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
110.41034375 |
transcript.pyannote[43].end |
111.06846875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
111.89534375 |
transcript.pyannote[44].end |
119.55659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
119.94471875 |
transcript.pyannote[45].end |
121.48034375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
121.56471875 |
transcript.pyannote[46].end |
125.14221875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
125.05784375 |
transcript.pyannote[47].end |
125.44596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
125.26034375 |
transcript.pyannote[48].end |
132.22971875 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
132.22971875 |
transcript.pyannote[49].end |
135.46971875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
135.46971875 |
transcript.pyannote[50].end |
156.96846875 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
154.30221875 |
transcript.pyannote[51].end |
154.67346875 |
transcript.pyannote[52].speaker |
SPEAKER_04 |
transcript.pyannote[52].start |
156.96846875 |
transcript.pyannote[52].end |
157.03596875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
157.03596875 |
transcript.pyannote[53].end |
157.96409375 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
157.96409375 |
transcript.pyannote[54].end |
158.03159375 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
158.03159375 |
transcript.pyannote[55].end |
158.97659375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
158.97659375 |
transcript.pyannote[56].end |
159.02721875 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
159.02721875 |
transcript.pyannote[57].end |
159.87096875 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
159.87096875 |
transcript.pyannote[58].end |
159.92159375 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
159.92159375 |
transcript.pyannote[59].end |
159.97221875 |
transcript.pyannote[60].speaker |
SPEAKER_04 |
transcript.pyannote[60].start |
159.97221875 |
transcript.pyannote[60].end |
160.09034375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
160.09034375 |
transcript.pyannote[61].end |
160.96784375 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
160.96784375 |
transcript.pyannote[62].end |
161.03534375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
161.03534375 |
transcript.pyannote[63].end |
184.96409375 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
184.17096875 |
transcript.pyannote[64].end |
185.30159375 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
185.30159375 |
transcript.pyannote[65].end |
185.97659375 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
185.97659375 |
transcript.pyannote[66].end |
192.96284375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
187.25909375 |
transcript.pyannote[67].end |
187.79909375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
192.38909375 |
transcript.pyannote[68].end |
193.55346875 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
193.19909375 |
transcript.pyannote[69].end |
210.51284375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
203.57721875 |
transcript.pyannote[70].end |
205.01159375 |
transcript.pyannote[71].speaker |
SPEAKER_04 |
transcript.pyannote[71].start |
211.10346875 |
transcript.pyannote[71].end |
221.41409375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
221.92034375 |
transcript.pyannote[72].end |
221.97096875 |
transcript.pyannote[73].speaker |
SPEAKER_04 |
transcript.pyannote[73].start |
221.97096875 |
transcript.pyannote[73].end |
221.98784375 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
221.98784375 |
transcript.pyannote[74].end |
222.00471875 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
222.00471875 |
transcript.pyannote[75].end |
222.79784375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
222.03846875 |
transcript.pyannote[76].end |
222.78096875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
222.79784375 |
transcript.pyannote[77].end |
222.96659375 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
222.96659375 |
transcript.pyannote[78].end |
224.02971875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
224.02971875 |
transcript.pyannote[79].end |
238.96409375 |
transcript.pyannote[80].speaker |
SPEAKER_04 |
transcript.pyannote[80].start |
224.50221875 |
transcript.pyannote[80].end |
226.79721875 |
transcript.pyannote[81].speaker |
SPEAKER_04 |
transcript.pyannote[81].start |
227.33721875 |
transcript.pyannote[81].end |
227.64096875 |
transcript.pyannote[82].speaker |
SPEAKER_04 |
transcript.pyannote[82].start |
238.96409375 |
transcript.pyannote[82].end |
240.88784375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
241.02284375 |
transcript.pyannote[83].end |
241.56284375 |
transcript.pyannote[84].speaker |
SPEAKER_04 |
transcript.pyannote[84].start |
241.41096875 |
transcript.pyannote[84].end |
243.63846875 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
244.31346875 |
transcript.pyannote[85].end |
253.78034375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
252.49784375 |
transcript.pyannote[86].end |
253.74659375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
253.78034375 |
transcript.pyannote[87].end |
253.96596875 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
253.96596875 |
transcript.pyannote[88].end |
254.01659375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
254.01659375 |
transcript.pyannote[89].end |
254.03346875 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
254.03346875 |
transcript.pyannote[90].end |
291.95159375 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
255.14721875 |
transcript.pyannote[91].end |
259.07909375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
259.09596875 |
transcript.pyannote[92].end |
259.18034375 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
273.94596875 |
transcript.pyannote[93].end |
276.67971875 |
transcript.pyannote[94].speaker |
SPEAKER_03 |
transcript.pyannote[94].start |
277.37159375 |
transcript.pyannote[94].end |
278.41784375 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
278.46846875 |
transcript.pyannote[95].end |
278.50221875 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
278.70471875 |
transcript.pyannote[96].end |
278.92409375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
278.94096875 |
transcript.pyannote[97].end |
279.97034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
279.97034375 |
transcript.pyannote[98].end |
280.34159375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
280.39221875 |
transcript.pyannote[99].end |
280.40909375 |
transcript.pyannote[100].speaker |
SPEAKER_04 |
transcript.pyannote[100].start |
292.20471875 |
transcript.pyannote[100].end |
294.92159375 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
294.95534375 |
transcript.pyannote[101].end |
299.57909375 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
299.76471875 |
transcript.pyannote[102].end |
300.05159375 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
300.45659375 |
transcript.pyannote[103].end |
300.97971875 |
transcript.pyannote[104].speaker |
SPEAKER_04 |
transcript.pyannote[104].start |
302.29596875 |
transcript.pyannote[104].end |
307.86471875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
307.98284375 |
transcript.pyannote[105].end |
308.06721875 |
transcript.pyannote[106].speaker |
SPEAKER_04 |
transcript.pyannote[106].start |
308.06721875 |
transcript.pyannote[106].end |
315.79596875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
308.11784375 |
transcript.pyannote[107].end |
308.13471875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
315.99846875 |
transcript.pyannote[108].end |
316.11659375 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
316.11659375 |
transcript.pyannote[109].end |
317.12909375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
317.12909375 |
transcript.pyannote[110].end |
317.56784375 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
317.92221875 |
transcript.pyannote[111].end |
324.41909375 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
324.90846875 |
transcript.pyannote[112].end |
328.16534375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
326.69721875 |
transcript.pyannote[113].end |
328.43534375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
328.67159375 |
transcript.pyannote[114].end |
329.22846875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
329.31284375 |
transcript.pyannote[115].end |
349.25909375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
337.58159375 |
transcript.pyannote[116].end |
337.64909375 |
transcript.pyannote[117].speaker |
SPEAKER_04 |
transcript.pyannote[117].start |
349.44471875 |
transcript.pyannote[117].end |
357.88221875 |
transcript.pyannote[118].speaker |
SPEAKER_04 |
transcript.pyannote[118].start |
358.47284375 |
transcript.pyannote[118].end |
359.55284375 |
transcript.pyannote[119].speaker |
SPEAKER_04 |
transcript.pyannote[119].start |
360.41346875 |
transcript.pyannote[119].end |
376.84971875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
376.95096875 |
transcript.pyannote[120].end |
378.13221875 |
transcript.pyannote[121].speaker |
SPEAKER_04 |
transcript.pyannote[121].start |
378.41909375 |
transcript.pyannote[121].end |
378.72284375 |
transcript.pyannote[122].speaker |
SPEAKER_04 |
transcript.pyannote[122].start |
379.60034375 |
transcript.pyannote[122].end |
381.52409375 |
transcript.pyannote[123].speaker |
SPEAKER_04 |
transcript.pyannote[123].start |
382.06409375 |
transcript.pyannote[123].end |
382.97534375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
383.17784375 |
transcript.pyannote[124].end |
383.44784375 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
383.44784375 |
transcript.pyannote[125].end |
390.77159375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
391.19346875 |
transcript.pyannote[126].end |
395.73284375 |
transcript.pyannote[127].speaker |
SPEAKER_04 |
transcript.pyannote[127].start |
397.67346875 |
transcript.pyannote[127].end |
398.83784375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
398.83784375 |
transcript.pyannote[128].end |
398.85471875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
398.97284375 |
transcript.pyannote[129].end |
399.22596875 |
transcript.pyannote[130].speaker |
SPEAKER_04 |
transcript.pyannote[130].start |
399.96846875 |
transcript.pyannote[130].end |
399.98534375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
399.98534375 |
transcript.pyannote[131].end |
400.59284375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
401.20034375 |
transcript.pyannote[132].end |
401.84159375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
402.46596875 |
transcript.pyannote[133].end |
406.51596875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
406.93784375 |
transcript.pyannote[134].end |
408.42284375 |
transcript.pyannote[135].speaker |
SPEAKER_04 |
transcript.pyannote[135].start |
408.28784375 |
transcript.pyannote[135].end |
408.38909375 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
408.42284375 |
transcript.pyannote[136].end |
408.59159375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
408.86159375 |
transcript.pyannote[137].end |
409.21596875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
409.94159375 |
transcript.pyannote[138].end |
410.32971875 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
410.86971875 |
transcript.pyannote[139].end |
413.21534375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
413.53596875 |
transcript.pyannote[140].end |
416.42159375 |
transcript.pyannote[141].speaker |
SPEAKER_04 |
transcript.pyannote[141].start |
417.97409375 |
transcript.pyannote[141].end |
419.59409375 |
transcript.pyannote[142].speaker |
SPEAKER_04 |
transcript.pyannote[142].start |
419.94846875 |
transcript.pyannote[142].end |
421.50096875 |
transcript.pyannote[143].speaker |
SPEAKER_04 |
transcript.pyannote[143].start |
421.85534375 |
transcript.pyannote[143].end |
423.55971875 |
transcript.pyannote[144].speaker |
SPEAKER_04 |
transcript.pyannote[144].start |
423.81284375 |
transcript.pyannote[144].end |
426.00659375 |
transcript.pyannote[145].speaker |
SPEAKER_04 |
transcript.pyannote[145].start |
426.68159375 |
transcript.pyannote[145].end |
427.40721875 |
transcript.pyannote[146].speaker |
SPEAKER_04 |
transcript.pyannote[146].start |
428.03159375 |
transcript.pyannote[146].end |
431.00159375 |
transcript.pyannote[147].speaker |
SPEAKER_04 |
transcript.pyannote[147].start |
431.82846875 |
transcript.pyannote[147].end |
434.73096875 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
435.15284375 |
transcript.pyannote[148].end |
435.70971875 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
436.31721875 |
transcript.pyannote[149].end |
437.32971875 |
transcript.pyannote[150].speaker |
SPEAKER_06 |
transcript.pyannote[150].start |
439.05096875 |
transcript.pyannote[150].end |
439.33784375 |
transcript.pyannote[151].speaker |
SPEAKER_04 |
transcript.pyannote[151].start |
439.18596875 |
transcript.pyannote[151].end |
439.57409375 |
transcript.pyannote[152].speaker |
SPEAKER_06 |
transcript.pyannote[152].start |
440.58659375 |
transcript.pyannote[152].end |
442.32471875 |
transcript.pyannote[153].speaker |
SPEAKER_06 |
transcript.pyannote[153].start |
443.23596875 |
transcript.pyannote[153].end |
444.77159375 |
transcript.pyannote[154].speaker |
SPEAKER_06 |
transcript.pyannote[154].start |
444.90659375 |
transcript.pyannote[154].end |
446.77971875 |
transcript.pyannote[155].speaker |
SPEAKER_06 |
transcript.pyannote[155].start |
447.37034375 |
transcript.pyannote[155].end |
447.70784375 |
transcript.pyannote[156].speaker |
SPEAKER_04 |
transcript.pyannote[156].start |
447.53909375 |
transcript.pyannote[156].end |
448.28159375 |
transcript.pyannote[157].speaker |
SPEAKER_06 |
transcript.pyannote[157].start |
448.82159375 |
transcript.pyannote[157].end |
450.45846875 |
transcript.pyannote[158].speaker |
SPEAKER_04 |
transcript.pyannote[158].start |
450.50909375 |
transcript.pyannote[158].end |
451.65659375 |
transcript.pyannote[159].speaker |
SPEAKER_06 |
transcript.pyannote[159].start |
452.01096875 |
transcript.pyannote[159].end |
452.26409375 |
transcript.pyannote[160].speaker |
SPEAKER_04 |
transcript.pyannote[160].start |
452.36534375 |
transcript.pyannote[160].end |
452.65221875 |
transcript.pyannote[161].speaker |
SPEAKER_06 |
transcript.pyannote[161].start |
453.09096875 |
transcript.pyannote[161].end |
453.29346875 |
transcript.pyannote[162].speaker |
SPEAKER_04 |
transcript.pyannote[162].start |
453.29346875 |
transcript.pyannote[162].end |
454.54221875 |
transcript.pyannote[163].speaker |
SPEAKER_06 |
transcript.pyannote[163].start |
454.71096875 |
transcript.pyannote[163].end |
454.93034375 |
transcript.pyannote[164].speaker |
SPEAKER_04 |
transcript.pyannote[164].start |
454.84596875 |
transcript.pyannote[164].end |
457.34346875 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
457.54596875 |
transcript.pyannote[165].end |
459.21659375 |
transcript.pyannote[166].speaker |
SPEAKER_06 |
transcript.pyannote[166].start |
460.07721875 |
transcript.pyannote[166].end |
461.84909375 |
transcript.pyannote[167].speaker |
SPEAKER_06 |
transcript.pyannote[167].start |
462.23721875 |
transcript.pyannote[167].end |
462.70971875 |
transcript.pyannote[168].speaker |
SPEAKER_06 |
transcript.pyannote[168].start |
463.24971875 |
transcript.pyannote[168].end |
467.41784375 |
transcript.pyannote[169].speaker |
SPEAKER_06 |
transcript.pyannote[169].start |
467.58659375 |
transcript.pyannote[169].end |
467.90721875 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
469.62846875 |
transcript.pyannote[170].end |
469.64534375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
469.64534375 |
transcript.pyannote[171].end |
469.66221875 |
transcript.pyannote[172].speaker |
SPEAKER_04 |
transcript.pyannote[172].start |
469.66221875 |
transcript.pyannote[172].end |
470.13471875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
470.13471875 |
transcript.pyannote[173].end |
470.59034375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
470.75909375 |
transcript.pyannote[174].end |
470.77596875 |
transcript.pyannote[175].speaker |
SPEAKER_04 |
transcript.pyannote[175].start |
470.77596875 |
transcript.pyannote[175].end |
470.86034375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
470.86034375 |
transcript.pyannote[176].end |
472.49721875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
473.59409375 |
transcript.pyannote[177].end |
473.91471875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
474.35346875 |
transcript.pyannote[178].end |
491.54909375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
491.86971875 |
transcript.pyannote[179].end |
492.96659375 |
transcript.pyannote[180].speaker |
SPEAKER_04 |
transcript.pyannote[180].start |
492.96659375 |
transcript.pyannote[180].end |
493.30409375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
493.30409375 |
transcript.pyannote[181].end |
493.32096875 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
494.23221875 |
transcript.pyannote[182].end |
496.30784375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
496.30784375 |
transcript.pyannote[183].end |
497.64096875 |
transcript.pyannote[184].speaker |
SPEAKER_04 |
transcript.pyannote[184].start |
498.06284375 |
transcript.pyannote[184].end |
500.76284375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
500.96534375 |
transcript.pyannote[185].end |
503.37846875 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
503.37846875 |
transcript.pyannote[186].end |
503.86784375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
503.91846875 |
transcript.pyannote[187].end |
504.37409375 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
504.35721875 |
transcript.pyannote[188].end |
505.75784375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
504.39096875 |
transcript.pyannote[189].end |
504.42471875 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
506.01096875 |
transcript.pyannote[190].end |
506.02784375 |
transcript.pyannote[191].speaker |
SPEAKER_04 |
transcript.pyannote[191].start |
506.04471875 |
transcript.pyannote[191].end |
508.27221875 |
transcript.pyannote[192].speaker |
SPEAKER_04 |
transcript.pyannote[192].start |
508.74471875 |
transcript.pyannote[192].end |
509.03159375 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
510.56721875 |
transcript.pyannote[193].end |
513.75659375 |
transcript.pyannote[194].speaker |
SPEAKER_04 |
transcript.pyannote[194].start |
515.81534375 |
transcript.pyannote[194].end |
518.75159375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
519.79784375 |
transcript.pyannote[195].end |
520.94534375 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
521.60346875 |
transcript.pyannote[196].end |
523.86471875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
524.74221875 |
transcript.pyannote[197].end |
524.75909375 |
transcript.pyannote[198].speaker |
SPEAKER_04 |
transcript.pyannote[198].start |
524.75909375 |
transcript.pyannote[198].end |
527.44221875 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
527.83034375 |
transcript.pyannote[199].end |
528.62346875 |
transcript.pyannote[200].speaker |
SPEAKER_04 |
transcript.pyannote[200].start |
530.39534375 |
transcript.pyannote[200].end |
531.71159375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
532.53846875 |
transcript.pyannote[201].end |
533.97284375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
533.43284375 |
transcript.pyannote[202].end |
535.30596875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
536.04846875 |
transcript.pyannote[203].end |
537.39846875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
538.07346875 |
transcript.pyannote[204].end |
544.41846875 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
543.76034375 |
transcript.pyannote[205].end |
545.09346875 |
transcript.pyannote[206].speaker |
SPEAKER_04 |
transcript.pyannote[206].start |
545.34659375 |
transcript.pyannote[206].end |
548.43471875 |
transcript.pyannote[207].speaker |
SPEAKER_04 |
transcript.pyannote[207].start |
548.70471875 |
transcript.pyannote[207].end |
552.40034375 |
transcript.pyannote[208].speaker |
SPEAKER_04 |
transcript.pyannote[208].start |
553.14284375 |
transcript.pyannote[208].end |
555.35346875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
556.07909375 |
transcript.pyannote[209].end |
556.70346875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
557.53034375 |
transcript.pyannote[210].end |
561.74909375 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
560.87159375 |
transcript.pyannote[211].end |
561.76596875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
561.76596875 |
transcript.pyannote[212].end |
561.78284375 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
561.78284375 |
transcript.pyannote[213].end |
562.96409375 |
transcript.pyannote[214].speaker |
SPEAKER_04 |
transcript.pyannote[214].start |
564.97221875 |
transcript.pyannote[214].end |
566.64284375 |
transcript.pyannote[215].speaker |
SPEAKER_04 |
transcript.pyannote[215].start |
567.30096875 |
transcript.pyannote[215].end |
569.24159375 |
transcript.pyannote[216].speaker |
SPEAKER_04 |
transcript.pyannote[216].start |
569.96721875 |
transcript.pyannote[216].end |
578.72534375 |
transcript.pyannote[217].speaker |
SPEAKER_04 |
transcript.pyannote[217].start |
580.05846875 |
transcript.pyannote[217].end |
594.85784375 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
594.97596875 |
transcript.pyannote[218].end |
597.57471875 |
transcript.pyannote[219].speaker |
SPEAKER_04 |
transcript.pyannote[219].start |
599.86971875 |
transcript.pyannote[219].end |
600.32534375 |
transcript.pyannote[220].speaker |
SPEAKER_04 |
transcript.pyannote[220].start |
601.40534375 |
transcript.pyannote[220].end |
602.78909375 |
transcript.pyannote[221].speaker |
SPEAKER_04 |
transcript.pyannote[221].start |
603.46409375 |
transcript.pyannote[221].end |
606.60284375 |
transcript.pyannote[222].speaker |
SPEAKER_04 |
transcript.pyannote[222].start |
607.27784375 |
transcript.pyannote[222].end |
608.34096875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
609.08346875 |
transcript.pyannote[223].end |
610.11284375 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
611.09159375 |
transcript.pyannote[224].end |
612.99846875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
613.25159375 |
transcript.pyannote[225].end |
615.52971875 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
615.85034375 |
transcript.pyannote[226].end |
616.52534375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
616.94721875 |
transcript.pyannote[227].end |
624.47346875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
624.97971875 |
transcript.pyannote[228].end |
631.02096875 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
631.44284375 |
transcript.pyannote[229].end |
636.43784375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
637.01159375 |
transcript.pyannote[230].end |
639.94784375 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
640.21784375 |
transcript.pyannote[231].end |
640.23471875 |
transcript.pyannote[232].speaker |
SPEAKER_04 |
transcript.pyannote[232].start |
640.23471875 |
transcript.pyannote[232].end |
647.28846875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
647.28846875 |
transcript.pyannote[233].end |
653.61659375 |
transcript.pyannote[234].speaker |
SPEAKER_04 |
transcript.pyannote[234].start |
647.98034375 |
transcript.pyannote[234].end |
649.12784375 |
transcript.pyannote[235].speaker |
SPEAKER_04 |
transcript.pyannote[235].start |
650.68034375 |
transcript.pyannote[235].end |
651.72659375 |
transcript.pyannote[236].speaker |
SPEAKER_04 |
transcript.pyannote[236].start |
652.35096875 |
transcript.pyannote[236].end |
652.41846875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
654.19034375 |
transcript.pyannote[237].end |
660.18096875 |
transcript.pyannote[238].speaker |
SPEAKER_04 |
transcript.pyannote[238].start |
654.24096875 |
transcript.pyannote[238].end |
658.39221875 |
transcript.pyannote[239].speaker |
SPEAKER_04 |
transcript.pyannote[239].start |
660.18096875 |
transcript.pyannote[239].end |
660.60284375 |
transcript.pyannote[240].speaker |
SPEAKER_04 |
transcript.pyannote[240].start |
661.95284375 |
transcript.pyannote[240].end |
665.02409375 |
transcript.pyannote[241].speaker |
SPEAKER_04 |
transcript.pyannote[241].start |
666.81284375 |
transcript.pyannote[241].end |
668.01096875 |
transcript.pyannote[242].speaker |
SPEAKER_04 |
transcript.pyannote[242].start |
668.92221875 |
transcript.pyannote[242].end |
670.10346875 |
transcript.pyannote[243].speaker |
SPEAKER_04 |
transcript.pyannote[243].start |
671.67284375 |
transcript.pyannote[243].end |
675.28409375 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
672.49971875 |
transcript.pyannote[244].end |
672.55034375 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
672.58409375 |
transcript.pyannote[245].end |
672.66846875 |
transcript.pyannote[246].speaker |
SPEAKER_04 |
transcript.pyannote[246].start |
675.75659375 |
transcript.pyannote[246].end |
677.71409375 |
transcript.pyannote[247].speaker |
SPEAKER_04 |
transcript.pyannote[247].start |
678.65909375 |
transcript.pyannote[247].end |
680.88659375 |
transcript.pyannote[248].speaker |
SPEAKER_04 |
transcript.pyannote[248].start |
680.97096875 |
transcript.pyannote[248].end |
682.57409375 |
transcript.pyannote[249].speaker |
SPEAKER_04 |
transcript.pyannote[249].start |
683.06346875 |
transcript.pyannote[249].end |
689.45909375 |
transcript.pyannote[250].speaker |
SPEAKER_04 |
transcript.pyannote[250].start |
689.94846875 |
transcript.pyannote[250].end |
692.59784375 |
transcript.pyannote[251].speaker |
SPEAKER_04 |
transcript.pyannote[251].start |
693.30659375 |
transcript.pyannote[251].end |
694.94346875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
694.94346875 |
transcript.pyannote[252].end |
694.96034375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
697.59284375 |
transcript.pyannote[253].end |
713.11784375 |
transcript.pyannote[254].speaker |
SPEAKER_04 |
transcript.pyannote[254].start |
713.11784375 |
transcript.pyannote[254].end |
714.65346875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
714.65346875 |
transcript.pyannote[255].end |
714.67034375 |
transcript.pyannote[256].speaker |
SPEAKER_04 |
transcript.pyannote[256].start |
715.56471875 |
transcript.pyannote[256].end |
717.16784375 |
transcript.pyannote[257].speaker |
SPEAKER_05 |
transcript.pyannote[257].start |
719.39534375 |
transcript.pyannote[257].end |
735.73034375 |
transcript.pyannote[258].speaker |
SPEAKER_04 |
transcript.pyannote[258].start |
735.00471875 |
transcript.pyannote[258].end |
735.94971875 |
transcript.pyannote[259].speaker |
SPEAKER_05 |
transcript.pyannote[259].start |
736.40534375 |
transcript.pyannote[259].end |
739.56096875 |
transcript.pyannote[260].speaker |
SPEAKER_04 |
transcript.pyannote[260].start |
739.15596875 |
transcript.pyannote[260].end |
739.44284375 |
transcript.pyannote[261].speaker |
SPEAKER_05 |
transcript.pyannote[261].start |
739.91534375 |
transcript.pyannote[261].end |
745.90596875 |
transcript.pyannote[262].speaker |
SPEAKER_05 |
transcript.pyannote[262].start |
746.51346875 |
transcript.pyannote[262].end |
748.84221875 |
transcript.pyannote[263].speaker |
SPEAKER_04 |
transcript.pyannote[263].start |
749.55096875 |
transcript.pyannote[263].end |
754.90034375 |
transcript.pyannote[264].speaker |
SPEAKER_05 |
transcript.pyannote[264].start |
751.69409375 |
transcript.pyannote[264].end |
751.93034375 |
transcript.pyannote[265].speaker |
SPEAKER_05 |
transcript.pyannote[265].start |
754.90034375 |
transcript.pyannote[265].end |
755.25471875 |
transcript.pyannote[266].speaker |
SPEAKER_04 |
transcript.pyannote[266].start |
755.25471875 |
transcript.pyannote[266].end |
757.04346875 |
transcript.pyannote[267].speaker |
SPEAKER_05 |
transcript.pyannote[267].start |
758.15721875 |
transcript.pyannote[267].end |
766.39221875 |
transcript.pyannote[268].speaker |
SPEAKER_05 |
transcript.pyannote[268].start |
766.76346875 |
transcript.pyannote[268].end |
773.19284375 |
transcript.pyannote[269].speaker |
SPEAKER_04 |
transcript.pyannote[269].start |
772.50096875 |
transcript.pyannote[269].end |
778.64346875 |
transcript.pyannote[270].speaker |
SPEAKER_05 |
transcript.pyannote[270].start |
777.15846875 |
transcript.pyannote[270].end |
777.52971875 |
transcript.pyannote[271].speaker |
SPEAKER_05 |
transcript.pyannote[271].start |
778.22159375 |
transcript.pyannote[271].end |
778.71096875 |
transcript.pyannote[272].speaker |
SPEAKER_05 |
transcript.pyannote[272].start |
778.76159375 |
transcript.pyannote[272].end |
779.33534375 |
transcript.pyannote[273].speaker |
SPEAKER_04 |
transcript.pyannote[273].start |
779.45346875 |
transcript.pyannote[273].end |
779.80784375 |
transcript.pyannote[274].speaker |
SPEAKER_04 |
transcript.pyannote[274].start |
781.56284375 |
transcript.pyannote[274].end |
781.98471875 |
transcript.pyannote[275].speaker |
SPEAKER_04 |
transcript.pyannote[275].start |
782.15346875 |
transcript.pyannote[275].end |
783.25034375 |
transcript.pyannote[276].speaker |
SPEAKER_04 |
transcript.pyannote[276].start |
783.55409375 |
transcript.pyannote[276].end |
786.69284375 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
786.69284375 |
transcript.pyannote[277].end |
787.03034375 |
transcript.pyannote[278].speaker |
SPEAKER_04 |
transcript.pyannote[278].start |
787.03034375 |
transcript.pyannote[278].end |
796.14284375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
796.14284375 |
transcript.pyannote[279].end |
796.73346875 |
transcript.pyannote[280].speaker |
SPEAKER_04 |
transcript.pyannote[280].start |
796.46346875 |
transcript.pyannote[280].end |
811.93784375 |
transcript.pyannote[281].speaker |
SPEAKER_04 |
transcript.pyannote[281].start |
812.49471875 |
transcript.pyannote[281].end |
813.52409375 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
813.38909375 |
transcript.pyannote[282].end |
813.74346875 |
transcript.pyannote[283].speaker |
SPEAKER_04 |
transcript.pyannote[283].start |
813.74346875 |
transcript.pyannote[283].end |
815.95409375 |
transcript.pyannote[284].speaker |
SPEAKER_02 |
transcript.pyannote[284].start |
815.95409375 |
transcript.pyannote[284].end |
816.12284375 |
transcript.pyannote[285].speaker |
SPEAKER_04 |
transcript.pyannote[285].start |
816.12284375 |
transcript.pyannote[285].end |
817.03409375 |
transcript.pyannote[286].speaker |
SPEAKER_04 |
transcript.pyannote[286].start |
817.21971875 |
transcript.pyannote[286].end |
822.85596875 |
transcript.pyannote[287].speaker |
SPEAKER_04 |
transcript.pyannote[287].start |
823.15971875 |
transcript.pyannote[287].end |
836.87909375 |
transcript.pyannote[288].speaker |
SPEAKER_04 |
transcript.pyannote[288].start |
837.30096875 |
transcript.pyannote[288].end |
839.83221875 |
transcript.pyannote[289].speaker |
SPEAKER_04 |
transcript.pyannote[289].start |
840.52409375 |
transcript.pyannote[289].end |
842.17784375 |
transcript.pyannote[290].speaker |
SPEAKER_04 |
transcript.pyannote[290].start |
842.38034375 |
transcript.pyannote[290].end |
845.26596875 |
transcript.pyannote[291].speaker |
SPEAKER_04 |
transcript.pyannote[291].start |
846.07596875 |
transcript.pyannote[291].end |
848.10096875 |
transcript.pyannote[292].speaker |
SPEAKER_04 |
transcript.pyannote[292].start |
848.55659375 |
transcript.pyannote[292].end |
851.10471875 |
transcript.pyannote[293].speaker |
SPEAKER_04 |
transcript.pyannote[293].start |
851.99909375 |
transcript.pyannote[293].end |
852.70784375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
854.95221875 |
transcript.pyannote[294].end |
855.28971875 |
transcript.pyannote[295].speaker |
SPEAKER_04 |
transcript.pyannote[295].start |
855.28971875 |
transcript.pyannote[295].end |
855.30659375 |
transcript.pyannote[296].speaker |
SPEAKER_04 |
transcript.pyannote[296].start |
857.04471875 |
transcript.pyannote[296].end |
857.46659375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
857.46659375 |
transcript.pyannote[297].end |
857.53409375 |
transcript.pyannote[298].speaker |
SPEAKER_04 |
transcript.pyannote[298].start |
859.42409375 |
transcript.pyannote[298].end |
860.03159375 |
transcript.pyannote[299].speaker |
SPEAKER_02 |
transcript.pyannote[299].start |
860.03159375 |
transcript.pyannote[299].end |
860.68971875 |
transcript.pyannote[300].speaker |
SPEAKER_04 |
transcript.pyannote[300].start |
860.68971875 |
transcript.pyannote[300].end |
860.84159375 |
transcript.pyannote[301].speaker |
SPEAKER_02 |
transcript.pyannote[301].start |
861.12846875 |
transcript.pyannote[301].end |
861.17909375 |
transcript.pyannote[302].speaker |
SPEAKER_04 |
transcript.pyannote[302].start |
861.17909375 |
transcript.pyannote[302].end |
861.24659375 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
861.24659375 |
transcript.pyannote[303].end |
861.97221875 |
transcript.pyannote[304].speaker |
SPEAKER_04 |
transcript.pyannote[304].start |
861.97221875 |
transcript.pyannote[304].end |
862.02284375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
862.02284375 |
transcript.pyannote[305].end |
863.84534375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
863.84534375 |
transcript.pyannote[306].end |
866.79846875 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
863.86221875 |
transcript.pyannote[307].end |
863.87909375 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
864.89159375 |
transcript.pyannote[308].end |
868.04721875 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
868.04721875 |
transcript.pyannote[309].end |
868.97534375 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
868.48596875 |
transcript.pyannote[310].end |
871.96221875 |
transcript.pyannote[311].speaker |
SPEAKER_04 |
transcript.pyannote[311].start |
869.90346875 |
transcript.pyannote[311].end |
870.27471875 |
transcript.pyannote[312].speaker |
SPEAKER_04 |
transcript.pyannote[312].start |
871.96221875 |
transcript.pyannote[312].end |
872.78909375 |
transcript.pyannote[313].speaker |
SPEAKER_02 |
transcript.pyannote[313].start |
873.49784375 |
transcript.pyannote[313].end |
873.53159375 |
transcript.pyannote[314].speaker |
SPEAKER_04 |
transcript.pyannote[314].start |
873.53159375 |
transcript.pyannote[314].end |
877.98659375 |
transcript.pyannote[315].speaker |
SPEAKER_04 |
transcript.pyannote[315].start |
880.63596875 |
transcript.pyannote[315].end |
881.66534375 |
transcript.pyannote[316].speaker |
SPEAKER_04 |
transcript.pyannote[316].start |
883.45409375 |
transcript.pyannote[316].end |
886.06971875 |
transcript.pyannote[317].speaker |
SPEAKER_04 |
transcript.pyannote[317].start |
886.47471875 |
transcript.pyannote[317].end |
887.85846875 |
transcript.pyannote[318].speaker |
SPEAKER_04 |
transcript.pyannote[318].start |
887.97659375 |
transcript.pyannote[318].end |
887.99346875 |
transcript.pyannote[319].speaker |
SPEAKER_04 |
transcript.pyannote[319].start |
888.09471875 |
transcript.pyannote[319].end |
894.30471875 |
transcript.pyannote[320].speaker |
SPEAKER_04 |
transcript.pyannote[320].start |
894.47346875 |
transcript.pyannote[320].end |
895.51971875 |
transcript.pyannote[321].speaker |
SPEAKER_00 |
transcript.pyannote[321].start |
896.31284375 |
transcript.pyannote[321].end |
897.42659375 |
transcript.pyannote[322].speaker |
SPEAKER_04 |
transcript.pyannote[322].start |
898.20284375 |
transcript.pyannote[322].end |
900.91971875 |
transcript.pyannote[323].speaker |
SPEAKER_04 |
transcript.pyannote[323].start |
901.27409375 |
transcript.pyannote[323].end |
902.52284375 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
902.69159375 |
transcript.pyannote[324].end |
903.02909375 |
transcript.pyannote[325].speaker |
SPEAKER_04 |
transcript.pyannote[325].start |
903.02909375 |
transcript.pyannote[325].end |
903.04596875 |
transcript.pyannote[326].speaker |
SPEAKER_00 |
transcript.pyannote[326].start |
903.04596875 |
transcript.pyannote[326].end |
903.09659375 |
transcript.pyannote[327].speaker |
SPEAKER_04 |
transcript.pyannote[327].start |
903.46784375 |
transcript.pyannote[327].end |
903.65346875 |
transcript.pyannote[328].speaker |
SPEAKER_04 |
transcript.pyannote[328].start |
904.19346875 |
transcript.pyannote[328].end |
904.32846875 |
transcript.pyannote[329].speaker |
SPEAKER_04 |
transcript.pyannote[329].start |
904.36221875 |
transcript.pyannote[329].end |
904.49721875 |
transcript.pyannote[330].speaker |
SPEAKER_04 |
transcript.pyannote[330].start |
904.63221875 |
transcript.pyannote[330].end |
906.42096875 |
transcript.pyannote[331].speaker |
SPEAKER_04 |
transcript.pyannote[331].start |
906.45471875 |
transcript.pyannote[331].end |
906.80909375 |
transcript.pyannote[332].speaker |
SPEAKER_04 |
transcript.pyannote[332].start |
906.99471875 |
transcript.pyannote[332].end |
907.68659375 |
transcript.pyannote[333].speaker |
SPEAKER_04 |
transcript.pyannote[333].start |
908.29409375 |
transcript.pyannote[333].end |
917.18721875 |
transcript.pyannote[334].speaker |
SPEAKER_04 |
transcript.pyannote[334].start |
917.71034375 |
transcript.pyannote[334].end |
919.12784375 |
transcript.pyannote[335].speaker |
SPEAKER_04 |
transcript.pyannote[335].start |
919.38096875 |
transcript.pyannote[335].end |
936.34034375 |
transcript.pyannote[336].speaker |
SPEAKER_04 |
transcript.pyannote[336].start |
936.98159375 |
transcript.pyannote[336].end |
942.02721875 |
transcript.pyannote[337].speaker |
SPEAKER_04 |
transcript.pyannote[337].start |
942.61784375 |
transcript.pyannote[337].end |
944.40659375 |
transcript.pyannote[338].speaker |
SPEAKER_04 |
transcript.pyannote[338].start |
944.96346875 |
transcript.pyannote[338].end |
957.26534375 |
transcript.pyannote[339].speaker |
SPEAKER_04 |
transcript.pyannote[339].start |
957.68721875 |
transcript.pyannote[339].end |
971.44034375 |
transcript.pyannote[340].speaker |
SPEAKER_04 |
transcript.pyannote[340].start |
972.04784375 |
transcript.pyannote[340].end |
974.03909375 |
transcript.pyannote[341].speaker |
SPEAKER_04 |
transcript.pyannote[341].start |
974.30909375 |
transcript.pyannote[341].end |
991.60596875 |
transcript.pyannote[342].speaker |
SPEAKER_04 |
transcript.pyannote[342].start |
991.90971875 |
transcript.pyannote[342].end |
994.76159375 |
transcript.pyannote[343].speaker |
SPEAKER_04 |
transcript.pyannote[343].start |
997.07346875 |
transcript.pyannote[343].end |
998.06909375 |
transcript.pyannote[344].speaker |
SPEAKER_04 |
transcript.pyannote[344].start |
998.99721875 |
transcript.pyannote[344].end |
1002.55784375 |
transcript.pyannote[345].speaker |
SPEAKER_04 |
transcript.pyannote[345].start |
1003.09784375 |
transcript.pyannote[345].end |
1003.94159375 |
transcript.pyannote[346].speaker |
SPEAKER_04 |
transcript.pyannote[346].start |
1004.49846875 |
transcript.pyannote[346].end |
1005.29159375 |
transcript.pyannote[347].speaker |
SPEAKER_04 |
transcript.pyannote[347].start |
1006.06784375 |
transcript.pyannote[347].end |
1006.94534375 |
transcript.pyannote[348].speaker |
SPEAKER_04 |
transcript.pyannote[348].start |
1008.64971875 |
transcript.pyannote[348].end |
1013.98221875 |
transcript.pyannote[349].speaker |
SPEAKER_04 |
transcript.pyannote[349].start |
1015.06221875 |
transcript.pyannote[349].end |
1018.13346875 |
transcript.pyannote[350].speaker |
SPEAKER_04 |
transcript.pyannote[350].start |
1018.60596875 |
transcript.pyannote[350].end |
1021.23846875 |
transcript.pyannote[351].speaker |
SPEAKER_04 |
transcript.pyannote[351].start |
1021.50846875 |
transcript.pyannote[351].end |
1033.10159375 |
transcript.pyannote[352].speaker |
SPEAKER_04 |
transcript.pyannote[352].start |
1033.45596875 |
transcript.pyannote[352].end |
1034.80596875 |
transcript.pyannote[353].speaker |
SPEAKER_04 |
transcript.pyannote[353].start |
1034.89034375 |
transcript.pyannote[353].end |
1037.01659375 |
transcript.pyannote[354].speaker |
SPEAKER_04 |
transcript.pyannote[354].start |
1037.47221875 |
transcript.pyannote[354].end |
1039.56471875 |
transcript.pyannote[355].speaker |
SPEAKER_04 |
transcript.pyannote[355].start |
1040.34096875 |
transcript.pyannote[355].end |
1041.85971875 |
transcript.pyannote[356].speaker |
SPEAKER_04 |
transcript.pyannote[356].start |
1042.11284375 |
transcript.pyannote[356].end |
1046.90534375 |
transcript.pyannote[357].speaker |
SPEAKER_04 |
transcript.pyannote[357].start |
1047.14159375 |
transcript.pyannote[357].end |
1048.76159375 |
transcript.pyannote[358].speaker |
SPEAKER_04 |
transcript.pyannote[358].start |
1049.16659375 |
transcript.pyannote[358].end |
1050.01034375 |
transcript.pyannote[359].speaker |
SPEAKER_04 |
transcript.pyannote[359].start |
1050.14534375 |
transcript.pyannote[359].end |
1050.87096875 |
transcript.pyannote[360].speaker |
SPEAKER_04 |
transcript.pyannote[360].start |
1051.12409375 |
transcript.pyannote[360].end |
1051.81596875 |
transcript.pyannote[361].speaker |
SPEAKER_04 |
transcript.pyannote[361].start |
1052.18721875 |
transcript.pyannote[361].end |
1053.97596875 |
transcript.pyannote[362].speaker |
SPEAKER_04 |
transcript.pyannote[362].start |
1054.85346875 |
transcript.pyannote[362].end |
1056.10221875 |
transcript.pyannote[363].speaker |
SPEAKER_04 |
transcript.pyannote[363].start |
1056.52409375 |
transcript.pyannote[363].end |
1057.92471875 |
transcript.pyannote[364].speaker |
SPEAKER_04 |
transcript.pyannote[364].start |
1058.44784375 |
transcript.pyannote[364].end |
1059.78096875 |
transcript.pyannote[365].speaker |
SPEAKER_04 |
transcript.pyannote[365].start |
1059.96659375 |
transcript.pyannote[365].end |
1061.51909375 |
transcript.pyannote[366].speaker |
SPEAKER_04 |
transcript.pyannote[366].start |
1062.44721875 |
transcript.pyannote[366].end |
1063.37534375 |
transcript.pyannote[367].speaker |
SPEAKER_04 |
transcript.pyannote[367].start |
1064.13471875 |
transcript.pyannote[367].end |
1066.85159375 |
transcript.pyannote[368].speaker |
SPEAKER_04 |
transcript.pyannote[368].start |
1067.15534375 |
transcript.pyannote[368].end |
1069.58534375 |
transcript.pyannote[369].speaker |
SPEAKER_04 |
transcript.pyannote[369].start |
1070.34471875 |
transcript.pyannote[369].end |
1071.72846875 |
transcript.pyannote[370].speaker |
SPEAKER_04 |
transcript.pyannote[370].start |
1072.16721875 |
transcript.pyannote[370].end |
1076.09909375 |
transcript.pyannote[371].speaker |
SPEAKER_04 |
transcript.pyannote[371].start |
1076.25096875 |
transcript.pyannote[371].end |
1076.97659375 |
transcript.pyannote[372].speaker |
SPEAKER_04 |
transcript.pyannote[372].start |
1077.97221875 |
transcript.pyannote[372].end |
1079.84534375 |
transcript.pyannote[373].speaker |
SPEAKER_04 |
transcript.pyannote[373].start |
1080.48659375 |
transcript.pyannote[373].end |
1081.02659375 |
transcript.pyannote[374].speaker |
SPEAKER_04 |
transcript.pyannote[374].start |
1081.21221875 |
transcript.pyannote[374].end |
1081.98846875 |
transcript.pyannote[375].speaker |
SPEAKER_04 |
transcript.pyannote[375].start |
1082.39346875 |
transcript.pyannote[375].end |
1083.57471875 |
transcript.pyannote[376].speaker |
SPEAKER_04 |
transcript.pyannote[376].start |
1083.91221875 |
transcript.pyannote[376].end |
1086.47721875 |
transcript.pyannote[377].speaker |
SPEAKER_04 |
transcript.pyannote[377].start |
1087.72596875 |
transcript.pyannote[377].end |
1089.63284375 |
transcript.pyannote[378].speaker |
SPEAKER_04 |
transcript.pyannote[378].start |
1090.02096875 |
transcript.pyannote[378].end |
1091.33721875 |
transcript.pyannote[379].speaker |
SPEAKER_04 |
transcript.pyannote[379].start |
1092.33284375 |
transcript.pyannote[379].end |
1092.55221875 |
transcript.pyannote[380].speaker |
SPEAKER_04 |
transcript.pyannote[380].start |
1092.82221875 |
transcript.pyannote[380].end |
1093.61534375 |
transcript.pyannote[381].speaker |
SPEAKER_04 |
transcript.pyannote[381].start |
1094.22284375 |
transcript.pyannote[381].end |
1094.99909375 |
transcript.pyannote[382].speaker |
SPEAKER_04 |
transcript.pyannote[382].start |
1096.18034375 |
transcript.pyannote[382].end |
1097.73284375 |
transcript.pyannote[383].speaker |
SPEAKER_04 |
transcript.pyannote[383].start |
1097.88471875 |
transcript.pyannote[383].end |
1099.84221875 |
transcript.pyannote[384].speaker |
SPEAKER_04 |
transcript.pyannote[384].start |
1100.17971875 |
transcript.pyannote[384].end |
1110.65909375 |
transcript.pyannote[385].speaker |
SPEAKER_04 |
transcript.pyannote[385].start |
1110.86159375 |
transcript.pyannote[385].end |
1111.36784375 |
transcript.pyannote[386].speaker |
SPEAKER_04 |
transcript.pyannote[386].start |
1111.63784375 |
transcript.pyannote[386].end |
1113.67971875 |
transcript.pyannote[387].speaker |
SPEAKER_04 |
transcript.pyannote[387].start |
1114.03409375 |
transcript.pyannote[387].end |
1114.74284375 |
transcript.pyannote[388].speaker |
SPEAKER_04 |
transcript.pyannote[388].start |
1115.09721875 |
transcript.pyannote[388].end |
1115.68784375 |
transcript.pyannote[389].speaker |
SPEAKER_04 |
transcript.pyannote[389].start |
1115.83971875 |
transcript.pyannote[389].end |
1117.07159375 |
transcript.pyannote[390].speaker |
SPEAKER_04 |
transcript.pyannote[390].start |
1118.33721875 |
transcript.pyannote[390].end |
1119.46784375 |
transcript.pyannote[391].speaker |
SPEAKER_04 |
transcript.pyannote[391].start |
1120.64909375 |
transcript.pyannote[391].end |
1121.84721875 |
transcript.pyannote[392].speaker |
SPEAKER_04 |
transcript.pyannote[392].start |
1124.17596875 |
transcript.pyannote[392].end |
1125.40784375 |
transcript.pyannote[393].speaker |
SPEAKER_04 |
transcript.pyannote[393].start |
1125.42471875 |
transcript.pyannote[393].end |
1127.23034375 |
transcript.pyannote[394].speaker |
SPEAKER_04 |
transcript.pyannote[394].start |
1127.29784375 |
transcript.pyannote[394].end |
1131.56721875 |
transcript.pyannote[395].speaker |
SPEAKER_04 |
transcript.pyannote[395].start |
1132.10721875 |
transcript.pyannote[395].end |
1135.22909375 |
transcript.pyannote[396].speaker |
SPEAKER_04 |
transcript.pyannote[396].start |
1135.49909375 |
transcript.pyannote[396].end |
1147.44659375 |
transcript.pyannote[397].speaker |
SPEAKER_02 |
transcript.pyannote[397].start |
1147.44659375 |
transcript.pyannote[397].end |
1147.46346875 |
transcript.pyannote[398].speaker |
SPEAKER_02 |
transcript.pyannote[398].start |
1148.02034375 |
transcript.pyannote[398].end |
1149.03284375 |
transcript.pyannote[399].speaker |
SPEAKER_02 |
transcript.pyannote[399].start |
1149.23534375 |
transcript.pyannote[399].end |
1156.32284375 |
transcript.pyannote[400].speaker |
SPEAKER_02 |
transcript.pyannote[400].start |
1156.98096875 |
transcript.pyannote[400].end |
1156.99784375 |
transcript.pyannote[401].speaker |
SPEAKER_04 |
transcript.pyannote[401].start |
1156.99784375 |
transcript.pyannote[401].end |
1157.26784375 |
transcript.pyannote[402].speaker |
SPEAKER_02 |
transcript.pyannote[402].start |
1157.26784375 |
transcript.pyannote[402].end |
1157.33534375 |
transcript.pyannote[403].speaker |
SPEAKER_04 |
transcript.pyannote[403].start |
1157.33534375 |
transcript.pyannote[403].end |
1162.22909375 |
transcript.pyannote[404].speaker |
SPEAKER_05 |
transcript.pyannote[404].start |
1162.60034375 |
transcript.pyannote[404].end |
1163.69721875 |
transcript.whisperx[0].start |
3.413 |
transcript.whisperx[0].end |
27.495 |
transcript.whisperx[0].text |
好 謝謝主席 先請CDC的署長請署長署長要因應這個疫情再起那相關的防疫的物資應該剛剛聽你的說明跟報告應該都準備就緒嘛是那有預估現在是五月我們就直接講六月七月八月有可能在台灣的確診人數這三個月大致上是多少 |
transcript.whisperx[1].start |
28.735 |
transcript.whisperx[1].end |
52.153 |
transcript.whisperx[1].text |
你們有抓出來嗎應該是說我們有針對比較高峰期的那個禮拜大概可能會超過20萬人份一個禮拜就超過20萬人一個禮拜是指六月份的哪一個禮拜六月底七月初六月底七月初好那如果以六月加七月總共可能你們預估會確診的人數是多少 |
transcript.whisperx[2].start |
55.436 |
transcript.whisperx[2].end |
74.713 |
transcript.whisperx[2].text |
你不可能只有抓一個禮拜嘛對啊 應該主要還是在這個前後幾週啦那應該是說可能大概一抓出一個禮拜將近20萬人會確診為什麼沒有辦法抓出6到7月這60天到底台灣人會有多少人在確診8月底是有估了大概171萬左右 |
transcript.whisperx[3].start |
76.514 |
transcript.whisperx[3].end |
80.781 |
transcript.whisperx[3].text |
到8月底有將近170萬人所以等於6、7、8月總共會有180萬人等於每個月將近有30萬人會又被確診 |
transcript.whisperx[4].start |
88.402 |
transcript.whisperx[4].end |
110.854 |
transcript.whisperx[4].text |
是這樣嗎?是不是?就最高的時候大概是二十幾萬人次啦你為什麼一直要跟我講最高我在問你六七八嘛那你一下回我一個星期一下就回我到八月底對 到八月底八月初的時候是一百七十一萬人左右八月初?那等於是六七月兩個月就會有將近一百八十萬人確診喔是 差不多是這樣喔?是是是 |
transcript.whisperx[5].start |
111.946 |
transcript.whisperx[5].end |
135.142 |
transcript.whisperx[5].text |
就稍微補充一下就因為我們一起來去評估跟CDC這邊食藥署的我們評估起來預估會去就診不進去確診就診的時候我們會會評估要2.5倍的快篩的試劑的量所以預估會去就診因為因為有很多的感冒的有時候是流感不是啊FDA的署長我是在問確診你在回答我就診 |
transcript.whisperx[6].start |
136.082 |
transcript.whisperx[6].end |
158.813 |
transcript.whisperx[6].text |
對就是說我們是利用健保署的那個診斷碼去估那大概就估大概是170萬剛剛我跟您說的就是到8月初的時候大概170萬左右是確診嘛對不對就是說應該說臨床診斷有包括醫師的診斷還有加上這個快篩陽性的部分是你們有沒有相關的計畫可以降低這樣的確診人數 |
transcript.whisperx[7].start |
160.754 |
transcript.whisperx[7].end |
184.605 |
transcript.whisperx[7].text |
這個部分所以我們在昨天記者會有說呼籲民眾自主的戴口罩也就是說到了醫院或是大眾交通工具的部分這個第一個是可以戴口罩那第二個就是在這個長照機構的部分我們有請這個長照機構這邊加強注意感染管制的一個措施還有就是說如果可以接種疫苗的話也呼籲這個就是長照機構很簡單我的問題也很重點 |
transcript.whisperx[8].start |
187.967 |
transcript.whisperx[8].end |
208.62 |
transcript.whisperx[8].text |
如果你們預估從6月、7月到8月初等於是兩個月時間而已啦那你們如果預估可能在台灣有將近高達180萬人確診的情況之下那你們應該趕快提出相關的因應作為跟計畫是不是可以降低這樣的人數嘛所以你看180萬短短兩個月 |
transcript.whisperx[9].start |
211.161 |
transcript.whisperx[9].end |
212.722 |
transcript.whisperx[9].text |
你要知道這些醫療機構能夠承載嗎像現在整個醫療的這麼緊迫的情況之下如果這兩個月又面臨到有180萬人去確診這些醫護真的會疲於奔命啊醫療會崩壞啊 |
transcript.whisperx[10].start |
228.126 |
transcript.whisperx[10].end |
239.871 |
transcript.whisperx[10].text |
主要還是以在輕症為主啦所以我們在這個診所跟醫院的部分事實上都有提供這個口不開你不能保護我就輕症為主啦你保護我這樣就不夠專業吧 |
transcript.whisperx[11].start |
244.489 |
transcript.whisperx[11].end |
271.822 |
transcript.whisperx[11].text |
現在台灣的醫療什麼情況我相信你比我都更清楚是部長也更應該更應該了解到這個狀況所以現在不是親中症現在議員說我們有呼籲就是如果是就是說你相關的物資都已經齊備你也召開了這個記者會但是你應該要提出一套更積極的作為來應變如果降低這兩個月不要達到180萬的台灣人再度確診community可以吧第一個是可以吧 |
transcript.whisperx[12].start |
272.282 |
transcript.whisperx[12].end |
300.68 |
transcript.whisperx[12].text |
是可以吧可以提出這樣的應用作為降低這樣的確診人數可以吧不要讓台灣的醫療在這兩個月又漫入的黑暗期導致整個醫療崩壞導致很多的醫護到時候又有很多狀況沒有辦法在這個工作崗位持續的守護台灣的國人的醫療健康可以吧可以一個禮拜一再提出來好不好好謝謝兩位請回請部長 |
transcript.whisperx[13].start |
302.332 |
transcript.whisperx[13].end |
323.48 |
transcript.whisperx[13].text |
部長我剛剛講這個事情非常重要我也不希望你當了部長之後還在披雨奔命在應付COVID-19如果短短兩個月內要去應付180萬即便輕症是70%那代表還有中症跟重症有30%台灣的醫療力量有辦法去應付這樣的事情嗎我們會趕快提出具體的一個策略好 謝謝 |
transcript.whisperx[14].start |
325.001 |
transcript.whisperx[14].end |
343.736 |
transcript.whisperx[14].text |
我最好就是不要達到那個數字,數字就對了好不好我這23號,4月23號在委員會提出,跟部長也提醒就是國內的這個醫院被駭客入境的問題非常嚴重對不對那從去年,今年的2、3、4月也都傳出醫院被駭的這個狀況發生我在問的時候,5月6日會不會有相同的情況繼續發生結果又發生了嘛,5月 |
transcript.whisperx[15].start |
349.98 |
transcript.whisperx[15].end |
372.345 |
transcript.whisperx[15].text |
虎大醫院這個駭客入侵而且這是自己人內部人員駭進醫院的系統裡面瀏覽病患及醫護人員的個資這是一個個案嗎台灣的醫療防護系統怎麼這麼好入侵啊不僅是中國的駭客看到病患資料連內部員工都有辦法入侵而且還可以隨意瀏覽病患的個資這是聯絡報的一個報導我們的衛福部的資訊處的李處長李處長有在現場吧 |
transcript.whisperx[16].start |
379.759 |
transcript.whisperx[16].end |
395.309 |
transcript.whisperx[16].text |
請他出席一下好不好來到台上齁你看齁 他說針對醫院的資訊安全的維護及管理目前外部共列53家關鍵基礎設施的醫院五大醫院並未列入依規定若發生治安問題不須通報不須通報 |
transcript.whisperx[17].start |
400.014 |
transcript.whisperx[17].end |
423.151 |
transcript.whisperx[17].text |
李處長,你在哪裡?不好意思,李處長剛剛有來,他10點半換成副處長好,他有事先提出他10點半要離開嗎?有,他有提出,10點半,他有提出10點早委的資料裡面沒有喔?喔有啦,對不起,10點半王副處長嘛,對不對?王副處長,李處長的答覆這樣是對的嗎? |
transcript.whisperx[18].start |
428.292 |
transcript.whisperx[18].end |
447.938 |
transcript.whisperx[18].text |
陸域規定發生治安問題不需通報因為虎大不是在53家的關鍵基礎設施的醫院是這樣嗎他可以這樣答覆嗎可以嗎跟委員報告因為依照自通安全管理法只有關鍵基礎設施依照什麼法 |
transcript.whisperx[19].start |
448.891 |
transcript.whisperx[19].end |
472.103 |
transcript.whisperx[19].text |
司通安全管理法有明確規範關鍵基礎的這個設施的意願才必須要通報就是他依法需要通報那本部有建立一個資安情勢收集到底要不要通報 明確表達好不好 要不要通報 |
transcript.whisperx[20].start |
474.82 |
transcript.whisperx[20].end |
497.014 |
transcript.whisperx[20].text |
這個東西的話,就在治安各自法裡面的話,要通報的只有那53家醫院所以超過這53家醫院的話,這個是不用通報但是我們可以做行政調查,所以我們已經請醫事司委託衛生局去給他做行政調查醫生這個辦法規定是除了關鍵基礎設施的醫院需要通報?需要一小時之內通報 |
transcript.whisperx[21].start |
498.103 |
transcript.whisperx[21].end |
512.632 |
transcript.whisperx[21].text |
一小時內就要通報嘛,對不對?不是就不需要通報?不需要一小時之內,還是要通報所以還是要通報嘛,分作一小時跟一小時之外就對了啦所以你剛剛的解釋,還有包含你們副處長的解釋有點奇怪但我裡面寫這麼清楚,你們要這麼對外講話 |
transcript.whisperx[22].start |
519.964 |
transcript.whisperx[22].end |
534.111 |
transcript.whisperx[22].text |
這是你講的沒有錯吧?依規定論發生資安問題不需通報你後面才在補一區一個小時內跟一個小時外一個小時以上你們可以這樣對我解釋嗎?所以我覺得這可能就是你要讓我再問下去嗎? |
transcript.whisperx[23].start |
536.469 |
transcript.whisperx[23].end |
562.35 |
transcript.whisperx[23].text |
要不要通報嘛就是說他一小時外的話是要也是應該醫院發生這些事件都應該這是治安問題耶能容許這樣對外隨便講講嗎你有相關的辦法的依據該通報就通報啊然後什麼叫做治安問題不需要通報我覺得這可能解釋的過程中他沒有完整的所以要怪記者要怪這個報紙 |
transcript.whisperx[24].start |
565.029 |
transcript.whisperx[24].end |
572.558 |
transcript.whisperx[24].text |
警部長在開始下轍報導醫院發生這個入侵事件之後還接收到另外的報導說這個院內這個去 |
transcript.whisperx[25].start |
580.117 |
transcript.whisperx[25].end |
608.215 |
transcript.whisperx[25].text |
做這樣的一個事件的人是為了競選公衛的代表他當用多名醫護人員的戰力幫自己投票同時發現提告後 後續又查出他利用遠端連線 駭進醫院的資料庫瀏覽病患及醫護人員各自包含第一名某林志明家族內上萬病患的各自恐外洩教育部教育部有了吧你們做什麼樣的因應的作為跟處置我倒是教育部管的吧 |
transcript.whisperx[26].start |
609.258 |
transcript.whisperx[26].end |
610.213 |
transcript.whisperx[26].text |
呃 |
transcript.whisperx[27].start |
611.104 |
transcript.whisperx[27].end |
639.682 |
transcript.whisperx[27].text |
府大醫院應該是衛護部吧衛護部管 那就教育部請回 抱歉我想這個可能媒體的報導是不是完全掌握到實際上的情況我相信你府大醫院他們的一個制度一定會因為他們醫院也不是很大所以應該會做立即的處理不應該讓他再繼續使用院內的公務一定要把他塑限 |
transcript.whisperx[28].start |
640.727 |
transcript.whisperx[28].end |
664.725 |
transcript.whisperx[28].text |
部長你講的說這個報導應該接近屬實嘛對不對你剛剛答覆我是這樣嘛沒有錯吧那如果是這樣這可能要再去確認一下他但是你剛剛已經有答覆我這樣了耶沒有我說可能我的意思是可能啦好不好沒關係也就是說可能接近屬實嘛完全掌握到真實的狀況啦是我要表達齁我反而不是針對院方 |
transcript.whisperx[29].start |
666.857 |
transcript.whisperx[29].end |
669.959 |
transcript.whisperx[29].text |
我要針對務務部你們的SOP是什麼你們的解釋依據法律的解釋管理辦法的解釋然後產生的SOP是什麼如果這個報導接見屬實還是它是屬於一個屬實這一個醫師人員現在還可以在醫院裡面然後進行這樣持續性的讓病患的個資再外洩 |
transcript.whisperx[30].start |
698.129 |
transcript.whisperx[30].end |
713.187 |
transcript.whisperx[30].text |
這個跟委員報告一下我們的SOP,那就是在非關鍵基礎設施醫院的這部分是由醫事師指導衛生局,所以已經第一時間去做行政調查醫事師主導,醫事師要調查醫事師市長請上來,你主導了嗎?你調查了嗎? |
transcript.whisperx[31].start |
719.654 |
transcript.whisperx[31].end |
748.147 |
transcript.whisperx[31].text |
我要講補充的是我們發文給新北市衛生局這邊就醫院管理這邊做調查然後因為各自的洩漏的部分的話醫院的全責主管機關我們這邊會督導衛生局做調查做事件後面的調查為什麼說發文事件當天其實就發文下午我們也是見報之道的我們就是下午當晚的時候發文然後那目前只知道這一個員工目前是停職的狀態 |
transcript.whisperx[32].start |
749.648 |
transcript.whisperx[32].end |
756.734 |
transcript.whisperx[32].text |
事件發生之後你們就發文了你等一下把那張公文傳給委員會做參考可以好然後你什麼時候督導 |
transcript.whisperx[33].start |
758.223 |
transcript.whisperx[33].end |
775.51 |
transcript.whisperx[33].text |
因為現在調查回來的東西我們還沒看到所以我們會再問一下衛生局目前然後可是衛生局初步的回報因為檢調機關已經進入調查所以他們現在手邊有的東西這個地方我會再確認檢調單位調查是檢調單位要調查嘛你們的行政調查還是該啟動嘛你們該督導還是該督導嘛對不對沒錯好 |
transcript.whisperx[34].start |
781.601 |
transcript.whisperx[34].end |
798.839 |
transcript.whisperx[34].text |
部長 我在這邊具體的建立好不好 要求大致三項是不是重新檢視這整個資安通報制度不論規模 只要病患擱置外泄餘力就必須要進行資安的通報一再辦法也是如此至於那個一個小時以內 一個小時以上 |
transcript.whisperx[35].start |
799.6 |
transcript.whisperx[35].end |
816.295 |
transcript.whisperx[35].text |
我想可能要修吧那第二個同時衛生部及地方衛生局在接為醫療院所資安通報之後整個應變機制及醫院醫療院所要進行的應變措施也必須重新檢討是可以啊可以兩周內是不是可以提出相關報告好沒問題好謝謝 |
transcript.whisperx[36].start |
817.336 |
transcript.whisperx[36].end |
844.67 |
transcript.whisperx[36].text |
好,其他請回,最後,最後對不起,主席抱歉,因為剛剛黃先生、張偉有特別跟部長在之前已經有聚焦過,台灣能不能承受一個兒少專職的單位嘛,那部長也有做一些回應嘛對不對,但是到現在就是還沒有看到具體的這個,這個,就是跨出這一大步嘛,就是沒有嘛,顯然沒有就會出問題,剛剛黃偉特別引用嘛齁,確實是容顏, |
transcript.whisperx[37].start |
846.347 |
transcript.whisperx[37].end |
852.368 |
transcript.whisperx[37].text |
農年台灣的出生寶寶是3萬,你知道12年前的農年台灣出生寶寶是多少嗎?部長知道嗎?12年前的農年啦12年前喔?應該不難嘛不難啦,你都不知道 |
transcript.whisperx[38].start |
873.567 |
transcript.whisperx[38].end |
895.331 |
transcript.whisperx[38].text |
衛生部有一個兒少的單位專門在注意這個出生率的嗎?衛生部出生率是國發部沒有錯啦,國發會衛生部要來照顧這些兒童基本上年十二年前的熔岩的出生率出生人數是多少都不清楚 |
transcript.whisperx[39].start |
898.443 |
transcript.whisperx[39].end |
905.511 |
transcript.whisperx[39].text |
你不要說差不多20萬,原本是26萬,除了6萬,你找到多少?19萬19萬是兩年,12年當中的兩年,剛才說差不多20萬,也有1萬,也有22萬現在剩19萬,第二年剩幾萬? |
transcript.whisperx[40].start |
917.805 |
transcript.whisperx[40].end |
922.749 |
transcript.whisperx[40].text |
從小嬰一直到賴總統甚至要進入到2.0那如果我們看到少子化整個這樣的一個脈絡出生率降低的速度之快 |
transcript.whisperx[41].start |
942.957 |
transcript.whisperx[41].end |
970.685 |
transcript.whisperx[41].text |
衛務部會攔此其咎這其一那其二要成立這個專責單位不是現在才講而且剛剛洪遠特別是提到這個已經有很多人講過了我要跟部長講大致上你可以看我們多麼凌亂過去列政部還有個兒童局對不對主改之後創到沒了就中年了然後變到社家屬之後看起來好像是社家屬是兒童業務的單一窗口但是其實兒少的業務是很複雜的 |
transcript.whisperx[42].start |
972.705 |
transcript.whisperx[42].end |
994.716 |
transcript.whisperx[42].text |
這個我想旅策也很清楚0到2歲這個大家都很清楚兒童同意服務社家屬管2到6歲幼兒園變教育部管兒童安置是社家屬管兒內又變成保護師管對不對然後凱凱安跟副長從社家屬保護師到地方政府都有份甚至以負責凱凱收出養的兒護聯盟以他進來是歸教育部管的文教單位你覺得有複雜嗎 |
transcript.whisperx[43].start |
999.048 |
transcript.whisperx[43].end |
1006.294 |
transcript.whisperx[43].text |
我一直說那個燕子,那個燕子是我們的社會安全網有接到的,不是沒有接到,結果接到之後生命又放棄了,所以你知道看,內政部還有一個稍委會,警事務署還有一個副優隊, |
transcript.whisperx[44].start |
1015.114 |
transcript.whisperx[44].end |
1038.408 |
transcript.whisperx[44].text |
你看 花幾個部會 花幾個機關啦齁這個問題我要給部長跟次長做參考我想你們都很用心的在為台灣的醫療在示威去發聲了嘛那我們現在為兒少更積極一點嘛 也可以借鏡日本在2013年喔 對不起2023年他其實是 他已經整合了叫做兒童家庭廳 |
transcript.whisperx[45].start |
1040.73 |
transcript.whisperx[45].end |
1061.455 |
transcript.whisperx[45].text |
他之前一樣他兒童的相關的保護照顧的業務也分散在他們的這個文部科學省後生勞動省內閣府警察廳跟我們現況差不多啦跟我們現況差不多但是畢竟在兩年前已經正式整個完成叫做兒童家庭廳有其必要吧 |
transcript.whisperx[46].start |
1064.178 |
transcript.whisperx[46].end |
1076.821 |
transcript.whisperx[46].text |
有其必要來依據這樣的一個參考不然你看社交組社交能力的分配女士應該會很累社交組署長也應該會很累老人福利組12個人身心障礙福利組18個人婦幼18個人兒少17個人家庭支持組21個人一個兒少出生率越來越低只有17個人 |
transcript.whisperx[47].start |
1092.906 |
transcript.whisperx[47].end |
1116.763 |
transcript.whisperx[47].text |
一個老人越來越多2021已經生不如死現在已經賴到超高齡社會百分之二十、六十五歲以上的老人人口快速結構的轉變專門在照顧這個最弱勢的老人、兒童、婦女、身障朋友的一個社會家庭署竟然才各組的分別才多十幾個人這不在應付啦這不在處理事情啦 |
transcript.whisperx[48].start |
1124.226 |
transcript.whisperx[48].end |
1137.954 |
transcript.whisperx[48].text |
好不好 我請部長還有次長是不是盡快研擬應該是一個月內是不是可以參照日本的做法來因應台灣要照顧更多的兒少讓這個專責單位趕快成立起來 |
transcript.whisperx[49].start |
1138.615 |
transcript.whisperx[49].end |
1161.099 |
transcript.whisperx[49].text |
哪怕它是一個三級機關哪怕它是一個部會你只要一發動我想所有的委員都會幫你去跟行政院阿Q這件事情嘛是 可以吧可以 我們覺得這個是非常必要的好而且一直真的積極在人力中好 那一個月內喔嘿 好這樣才代表積極嘛 好不好好 謝謝部長 謝謝次長 謝謝各位好 謝謝六位委員 |