IVOD_ID |
16586 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16586 |
日期 |
2025-04-11 |
會議資料.會議代碼 |
院會-11-3-7 |
會議資料.會議代碼:str |
第11屆第3會期第7次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
7 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第7次會議 |
影片種類 |
Full |
開始時間 |
2025-04-11T08:30:29+08:00 |
結束時間 |
2025-04-11T17:48:00+08:00 |
影片長度 |
09:17:31 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a6096446c7078ec4428499e01fa654b137934af80a8cb003b9ba7bc8ae2cbd38983e5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-04-11T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11日上午9時至10時為國是論壇時間。) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:29 - 17:48:00 |
transcript.pyannote[0].speaker |
SPEAKER_29 |
transcript.pyannote[0].start |
1782.79034375 |
transcript.pyannote[0].end |
1789.75971875 |
transcript.pyannote[1].speaker |
SPEAKER_12 |
transcript.pyannote[1].start |
1806.33096875 |
transcript.pyannote[1].end |
1808.50784375 |
transcript.pyannote[2].speaker |
SPEAKER_12 |
transcript.pyannote[2].start |
1808.74409375 |
transcript.pyannote[2].end |
1811.68034375 |
transcript.pyannote[3].speaker |
SPEAKER_12 |
transcript.pyannote[3].start |
1812.84471875 |
transcript.pyannote[3].end |
1813.31721875 |
transcript.pyannote[4].speaker |
SPEAKER_12 |
transcript.pyannote[4].start |
1813.97534375 |
transcript.pyannote[4].end |
1815.89909375 |
transcript.pyannote[5].speaker |
SPEAKER_12 |
transcript.pyannote[5].start |
1816.43909375 |
transcript.pyannote[5].end |
1823.76284375 |
transcript.pyannote[6].speaker |
SPEAKER_12 |
transcript.pyannote[6].start |
1824.42096875 |
transcript.pyannote[6].end |
1827.57659375 |
transcript.pyannote[7].speaker |
SPEAKER_12 |
transcript.pyannote[7].start |
1828.13346875 |
transcript.pyannote[7].end |
1834.84971875 |
transcript.pyannote[8].speaker |
SPEAKER_12 |
transcript.pyannote[8].start |
1835.28846875 |
transcript.pyannote[8].end |
1852.78784375 |
transcript.pyannote[9].speaker |
SPEAKER_12 |
transcript.pyannote[9].start |
1852.83846875 |
transcript.pyannote[9].end |
1932.45471875 |
transcript.pyannote[10].speaker |
SPEAKER_12 |
transcript.pyannote[10].start |
1933.16346875 |
transcript.pyannote[10].end |
1958.57721875 |
transcript.pyannote[11].speaker |
SPEAKER_12 |
transcript.pyannote[11].start |
1958.96534375 |
transcript.pyannote[11].end |
1959.43784375 |
transcript.pyannote[12].speaker |
SPEAKER_12 |
transcript.pyannote[12].start |
1959.79221875 |
transcript.pyannote[12].end |
1990.18409375 |
transcript.pyannote[13].speaker |
SPEAKER_29 |
transcript.pyannote[13].start |
2000.41034375 |
transcript.pyannote[13].end |
2005.60784375 |
transcript.pyannote[14].speaker |
SPEAKER_11 |
transcript.pyannote[14].start |
2019.91784375 |
transcript.pyannote[14].end |
2023.71471875 |
transcript.pyannote[15].speaker |
SPEAKER_11 |
transcript.pyannote[15].start |
2024.40659375 |
transcript.pyannote[15].end |
2040.16784375 |
transcript.pyannote[16].speaker |
SPEAKER_11 |
transcript.pyannote[16].start |
2040.60659375 |
transcript.pyannote[16].end |
2043.28971875 |
transcript.pyannote[17].speaker |
SPEAKER_11 |
transcript.pyannote[17].start |
2043.57659375 |
transcript.pyannote[17].end |
2051.74409375 |
transcript.pyannote[18].speaker |
SPEAKER_11 |
transcript.pyannote[18].start |
2052.40221875 |
transcript.pyannote[18].end |
2075.36909375 |
transcript.pyannote[19].speaker |
SPEAKER_11 |
transcript.pyannote[19].start |
2075.43659375 |
transcript.pyannote[19].end |
2082.18659375 |
transcript.pyannote[20].speaker |
SPEAKER_11 |
transcript.pyannote[20].start |
2082.50721875 |
transcript.pyannote[20].end |
2104.63034375 |
transcript.pyannote[21].speaker |
SPEAKER_11 |
transcript.pyannote[21].start |
2105.06909375 |
transcript.pyannote[21].end |
2117.26971875 |
transcript.pyannote[22].speaker |
SPEAKER_11 |
transcript.pyannote[22].start |
2117.48909375 |
transcript.pyannote[22].end |
2119.44659375 |
transcript.pyannote[23].speaker |
SPEAKER_11 |
transcript.pyannote[23].start |
2119.76721875 |
transcript.pyannote[23].end |
2121.26909375 |
transcript.pyannote[24].speaker |
SPEAKER_11 |
transcript.pyannote[24].start |
2121.75846875 |
transcript.pyannote[24].end |
2132.82846875 |
transcript.pyannote[25].speaker |
SPEAKER_11 |
transcript.pyannote[25].start |
2133.18284375 |
transcript.pyannote[25].end |
2148.11721875 |
transcript.pyannote[26].speaker |
SPEAKER_11 |
transcript.pyannote[26].start |
2148.38721875 |
transcript.pyannote[26].end |
2153.01096875 |
transcript.pyannote[27].speaker |
SPEAKER_11 |
transcript.pyannote[27].start |
2153.21346875 |
transcript.pyannote[27].end |
2159.40659375 |
transcript.pyannote[28].speaker |
SPEAKER_11 |
transcript.pyannote[28].start |
2159.76096875 |
transcript.pyannote[28].end |
2162.91659375 |
transcript.pyannote[29].speaker |
SPEAKER_11 |
transcript.pyannote[29].start |
2163.32159375 |
transcript.pyannote[29].end |
2163.86159375 |
transcript.pyannote[30].speaker |
SPEAKER_11 |
transcript.pyannote[30].start |
2164.11471875 |
transcript.pyannote[30].end |
2176.92284375 |
transcript.pyannote[31].speaker |
SPEAKER_11 |
transcript.pyannote[31].start |
2177.20971875 |
transcript.pyannote[31].end |
2182.67721875 |
transcript.pyannote[32].speaker |
SPEAKER_11 |
transcript.pyannote[32].start |
2183.03159375 |
transcript.pyannote[32].end |
2197.08846875 |
transcript.pyannote[33].speaker |
SPEAKER_11 |
transcript.pyannote[33].start |
2197.13909375 |
transcript.pyannote[33].end |
2197.61159375 |
transcript.pyannote[34].speaker |
SPEAKER_29 |
transcript.pyannote[34].start |
2200.95284375 |
transcript.pyannote[34].end |
2205.67784375 |
transcript.pyannote[35].speaker |
SPEAKER_09 |
transcript.pyannote[35].start |
2221.54034375 |
transcript.pyannote[35].end |
2270.61284375 |
transcript.pyannote[36].speaker |
SPEAKER_09 |
transcript.pyannote[36].start |
2271.42284375 |
transcript.pyannote[36].end |
2291.31846875 |
transcript.pyannote[37].speaker |
SPEAKER_09 |
transcript.pyannote[37].start |
2291.92596875 |
transcript.pyannote[37].end |
2297.20784375 |
transcript.pyannote[38].speaker |
SPEAKER_09 |
transcript.pyannote[38].start |
2297.96721875 |
transcript.pyannote[38].end |
2308.21034375 |
transcript.pyannote[39].speaker |
SPEAKER_09 |
transcript.pyannote[39].start |
2308.66596875 |
transcript.pyannote[39].end |
2310.40409375 |
transcript.pyannote[40].speaker |
SPEAKER_09 |
transcript.pyannote[40].start |
2311.29846875 |
transcript.pyannote[40].end |
2316.61409375 |
transcript.pyannote[41].speaker |
SPEAKER_09 |
transcript.pyannote[41].start |
2317.79534375 |
transcript.pyannote[41].end |
2329.91159375 |
transcript.pyannote[42].speaker |
SPEAKER_09 |
transcript.pyannote[42].start |
2330.65409375 |
transcript.pyannote[42].end |
2369.71971875 |
transcript.pyannote[43].speaker |
SPEAKER_09 |
transcript.pyannote[43].start |
2370.12471875 |
transcript.pyannote[43].end |
2379.43971875 |
transcript.pyannote[44].speaker |
SPEAKER_09 |
transcript.pyannote[44].start |
2379.67596875 |
transcript.pyannote[44].end |
2392.16346875 |
transcript.pyannote[45].speaker |
SPEAKER_09 |
transcript.pyannote[45].start |
2392.73721875 |
transcript.pyannote[45].end |
2393.58096875 |
transcript.pyannote[46].speaker |
SPEAKER_29 |
transcript.pyannote[46].start |
2399.21721875 |
transcript.pyannote[46].end |
2402.84534375 |
transcript.pyannote[47].speaker |
SPEAKER_08 |
transcript.pyannote[47].start |
2417.00346875 |
transcript.pyannote[47].end |
2419.93971875 |
transcript.pyannote[48].speaker |
SPEAKER_08 |
transcript.pyannote[48].start |
2420.74971875 |
transcript.pyannote[48].end |
2454.38159375 |
transcript.pyannote[49].speaker |
SPEAKER_08 |
transcript.pyannote[49].start |
2454.97221875 |
transcript.pyannote[49].end |
2466.21096875 |
transcript.pyannote[50].speaker |
SPEAKER_08 |
transcript.pyannote[50].start |
2466.46409375 |
transcript.pyannote[50].end |
2474.73284375 |
transcript.pyannote[51].speaker |
SPEAKER_08 |
transcript.pyannote[51].start |
2475.22221875 |
transcript.pyannote[51].end |
2484.18284375 |
transcript.pyannote[52].speaker |
SPEAKER_08 |
transcript.pyannote[52].start |
2484.75659375 |
transcript.pyannote[52].end |
2491.10159375 |
transcript.pyannote[53].speaker |
SPEAKER_08 |
transcript.pyannote[53].start |
2491.94534375 |
transcript.pyannote[53].end |
2495.08409375 |
transcript.pyannote[54].speaker |
SPEAKER_08 |
transcript.pyannote[54].start |
2495.65784375 |
transcript.pyannote[54].end |
2498.22284375 |
transcript.pyannote[55].speaker |
SPEAKER_08 |
transcript.pyannote[55].start |
2498.42534375 |
transcript.pyannote[55].end |
2529.22221875 |
transcript.pyannote[56].speaker |
SPEAKER_08 |
transcript.pyannote[56].start |
2529.25596875 |
transcript.pyannote[56].end |
2533.23846875 |
transcript.pyannote[57].speaker |
SPEAKER_08 |
transcript.pyannote[57].start |
2534.23409375 |
transcript.pyannote[57].end |
2554.53471875 |
transcript.pyannote[58].speaker |
SPEAKER_08 |
transcript.pyannote[58].start |
2555.54721875 |
transcript.pyannote[58].end |
2584.58909375 |
transcript.pyannote[59].speaker |
SPEAKER_08 |
transcript.pyannote[59].start |
2584.87596875 |
transcript.pyannote[59].end |
2585.60159375 |
transcript.pyannote[60].speaker |
SPEAKER_29 |
transcript.pyannote[60].start |
2590.84971875 |
transcript.pyannote[60].end |
2596.73909375 |
transcript.pyannote[61].speaker |
SPEAKER_29 |
transcript.pyannote[61].start |
5381.78909375 |
transcript.pyannote[61].end |
5385.43409375 |
transcript.pyannote[62].speaker |
SPEAKER_29 |
transcript.pyannote[62].start |
5385.97409375 |
transcript.pyannote[62].end |
5389.50096875 |
transcript.pyannote[63].speaker |
SPEAKER_29 |
transcript.pyannote[63].start |
5390.19284375 |
transcript.pyannote[63].end |
5396.30159375 |
transcript.pyannote[64].speaker |
SPEAKER_31 |
transcript.pyannote[64].start |
5397.34784375 |
transcript.pyannote[64].end |
5411.05034375 |
transcript.pyannote[65].speaker |
SPEAKER_31 |
transcript.pyannote[65].start |
5411.48909375 |
transcript.pyannote[65].end |
5420.41596875 |
transcript.pyannote[66].speaker |
SPEAKER_31 |
transcript.pyannote[66].start |
5420.61846875 |
transcript.pyannote[66].end |
5423.82471875 |
transcript.pyannote[67].speaker |
SPEAKER_31 |
transcript.pyannote[67].start |
5424.26346875 |
transcript.pyannote[67].end |
5428.02659375 |
transcript.pyannote[68].speaker |
SPEAKER_31 |
transcript.pyannote[68].start |
5428.38096875 |
transcript.pyannote[68].end |
5430.97971875 |
transcript.pyannote[69].speaker |
SPEAKER_31 |
transcript.pyannote[69].start |
5431.43534375 |
transcript.pyannote[69].end |
5435.51909375 |
transcript.pyannote[70].speaker |
SPEAKER_31 |
transcript.pyannote[70].start |
5435.90721875 |
transcript.pyannote[70].end |
5438.06721875 |
transcript.pyannote[71].speaker |
SPEAKER_31 |
transcript.pyannote[71].start |
5438.47221875 |
transcript.pyannote[71].end |
5453.15346875 |
transcript.pyannote[72].speaker |
SPEAKER_31 |
transcript.pyannote[72].start |
5453.35596875 |
transcript.pyannote[72].end |
5459.39721875 |
transcript.pyannote[73].speaker |
SPEAKER_31 |
transcript.pyannote[73].start |
5459.54909375 |
transcript.pyannote[73].end |
5462.50221875 |
transcript.pyannote[74].speaker |
SPEAKER_29 |
transcript.pyannote[74].start |
5464.24034375 |
transcript.pyannote[74].end |
5467.12596875 |
transcript.pyannote[75].speaker |
SPEAKER_29 |
transcript.pyannote[75].start |
5467.64909375 |
transcript.pyannote[75].end |
5480.30534375 |
transcript.pyannote[76].speaker |
SPEAKER_29 |
transcript.pyannote[76].start |
5480.94659375 |
transcript.pyannote[76].end |
5484.97971875 |
transcript.pyannote[77].speaker |
SPEAKER_29 |
transcript.pyannote[77].start |
5485.33409375 |
transcript.pyannote[77].end |
5487.93284375 |
transcript.pyannote[78].speaker |
SPEAKER_29 |
transcript.pyannote[78].start |
5488.64159375 |
transcript.pyannote[78].end |
5493.58596875 |
transcript.pyannote[79].speaker |
SPEAKER_29 |
transcript.pyannote[79].start |
5494.02471875 |
transcript.pyannote[79].end |
5502.85034375 |
transcript.pyannote[80].speaker |
SPEAKER_29 |
transcript.pyannote[80].start |
5503.12034375 |
transcript.pyannote[80].end |
5508.95909375 |
transcript.pyannote[81].speaker |
SPEAKER_29 |
transcript.pyannote[81].start |
5509.09409375 |
transcript.pyannote[81].end |
5512.89096875 |
transcript.pyannote[82].speaker |
SPEAKER_29 |
transcript.pyannote[82].start |
5513.85284375 |
transcript.pyannote[82].end |
5522.23971875 |
transcript.pyannote[83].speaker |
SPEAKER_29 |
transcript.pyannote[83].start |
5522.81346875 |
transcript.pyannote[83].end |
5524.07909375 |
transcript.pyannote[84].speaker |
SPEAKER_29 |
transcript.pyannote[84].start |
5524.16346875 |
transcript.pyannote[84].end |
5526.28971875 |
transcript.pyannote[85].speaker |
SPEAKER_29 |
transcript.pyannote[85].start |
5526.81284375 |
transcript.pyannote[85].end |
5530.50846875 |
transcript.pyannote[86].speaker |
SPEAKER_29 |
transcript.pyannote[86].start |
5531.31846875 |
transcript.pyannote[86].end |
5535.57096875 |
transcript.pyannote[87].speaker |
SPEAKER_29 |
transcript.pyannote[87].start |
5535.72284375 |
transcript.pyannote[87].end |
5536.24596875 |
transcript.pyannote[88].speaker |
SPEAKER_29 |
transcript.pyannote[88].start |
5536.95471875 |
transcript.pyannote[88].end |
5542.20284375 |
transcript.pyannote[89].speaker |
SPEAKER_29 |
transcript.pyannote[89].start |
5543.38409375 |
transcript.pyannote[89].end |
5553.50909375 |
transcript.pyannote[90].speaker |
SPEAKER_23 |
transcript.pyannote[90].start |
5554.20096875 |
transcript.pyannote[90].end |
5567.73471875 |
transcript.pyannote[91].speaker |
SPEAKER_23 |
transcript.pyannote[91].start |
5568.62909375 |
transcript.pyannote[91].end |
5593.06409375 |
transcript.pyannote[92].speaker |
SPEAKER_29 |
transcript.pyannote[92].start |
5594.02596875 |
transcript.pyannote[92].end |
5602.54784375 |
transcript.pyannote[93].speaker |
SPEAKER_29 |
transcript.pyannote[93].start |
5603.86409375 |
transcript.pyannote[93].end |
5605.66971875 |
transcript.pyannote[94].speaker |
SPEAKER_29 |
transcript.pyannote[94].start |
5606.61471875 |
transcript.pyannote[94].end |
5614.68096875 |
transcript.pyannote[95].speaker |
SPEAKER_29 |
transcript.pyannote[95].start |
6039.86346875 |
transcript.pyannote[95].end |
6042.12471875 |
transcript.pyannote[96].speaker |
SPEAKER_29 |
transcript.pyannote[96].start |
6042.58034375 |
transcript.pyannote[96].end |
6043.99784375 |
transcript.pyannote[97].speaker |
SPEAKER_29 |
transcript.pyannote[97].start |
6044.74034375 |
transcript.pyannote[97].end |
6045.14534375 |
transcript.pyannote[98].speaker |
SPEAKER_29 |
transcript.pyannote[98].start |
6045.38159375 |
transcript.pyannote[98].end |
6051.62534375 |
transcript.pyannote[99].speaker |
SPEAKER_29 |
transcript.pyannote[99].start |
6053.61659375 |
transcript.pyannote[99].end |
6059.37096875 |
transcript.pyannote[100].speaker |
SPEAKER_29 |
transcript.pyannote[100].start |
6059.94471875 |
transcript.pyannote[100].end |
6060.45096875 |
transcript.pyannote[101].speaker |
SPEAKER_29 |
transcript.pyannote[101].start |
6060.72096875 |
transcript.pyannote[101].end |
6070.52534375 |
transcript.pyannote[102].speaker |
SPEAKER_30 |
transcript.pyannote[102].start |
6140.43846875 |
transcript.pyannote[102].end |
6141.45096875 |
transcript.pyannote[103].speaker |
SPEAKER_29 |
transcript.pyannote[103].start |
6141.45096875 |
transcript.pyannote[103].end |
6145.02846875 |
transcript.pyannote[104].speaker |
SPEAKER_30 |
transcript.pyannote[104].start |
6141.46784375 |
transcript.pyannote[104].end |
6141.53534375 |
transcript.pyannote[105].speaker |
SPEAKER_29 |
transcript.pyannote[105].start |
6145.61909375 |
transcript.pyannote[105].end |
6162.03846875 |
transcript.pyannote[106].speaker |
SPEAKER_29 |
transcript.pyannote[106].start |
6232.71096875 |
transcript.pyannote[106].end |
6242.34659375 |
transcript.pyannote[107].speaker |
SPEAKER_29 |
transcript.pyannote[107].start |
6243.03846875 |
transcript.pyannote[107].end |
6246.04221875 |
transcript.pyannote[108].speaker |
SPEAKER_29 |
transcript.pyannote[108].start |
6246.54846875 |
transcript.pyannote[108].end |
6250.51409375 |
transcript.pyannote[109].speaker |
SPEAKER_29 |
transcript.pyannote[109].start |
6251.02034375 |
transcript.pyannote[109].end |
6254.36159375 |
transcript.pyannote[110].speaker |
SPEAKER_29 |
transcript.pyannote[110].start |
6254.76659375 |
transcript.pyannote[110].end |
6259.76159375 |
transcript.pyannote[111].speaker |
SPEAKER_29 |
transcript.pyannote[111].start |
6260.40284375 |
transcript.pyannote[111].end |
6268.95846875 |
transcript.pyannote[112].speaker |
SPEAKER_29 |
transcript.pyannote[112].start |
6342.66846875 |
transcript.pyannote[112].end |
6343.57971875 |
transcript.pyannote[113].speaker |
SPEAKER_29 |
transcript.pyannote[113].start |
6344.17034375 |
transcript.pyannote[113].end |
6345.35159375 |
transcript.pyannote[114].speaker |
SPEAKER_29 |
transcript.pyannote[114].start |
6345.85784375 |
transcript.pyannote[114].end |
6348.03471875 |
transcript.pyannote[115].speaker |
SPEAKER_29 |
transcript.pyannote[115].start |
6349.06409375 |
transcript.pyannote[115].end |
6353.46846875 |
transcript.pyannote[116].speaker |
SPEAKER_29 |
transcript.pyannote[116].start |
6353.78909375 |
transcript.pyannote[116].end |
6354.29534375 |
transcript.pyannote[117].speaker |
SPEAKER_29 |
transcript.pyannote[117].start |
6354.68346875 |
transcript.pyannote[117].end |
6361.61909375 |
transcript.pyannote[118].speaker |
SPEAKER_29 |
transcript.pyannote[118].start |
6362.09159375 |
transcript.pyannote[118].end |
6372.89159375 |
transcript.pyannote[119].speaker |
SPEAKER_29 |
transcript.pyannote[119].start |
6444.40784375 |
transcript.pyannote[119].end |
6452.13659375 |
transcript.pyannote[120].speaker |
SPEAKER_29 |
transcript.pyannote[120].start |
6452.52471875 |
transcript.pyannote[120].end |
6455.69721875 |
transcript.pyannote[121].speaker |
SPEAKER_29 |
transcript.pyannote[121].start |
6455.91659375 |
transcript.pyannote[121].end |
6460.48971875 |
transcript.pyannote[122].speaker |
SPEAKER_29 |
transcript.pyannote[122].start |
6460.72596875 |
transcript.pyannote[122].end |
6464.65784375 |
transcript.pyannote[123].speaker |
SPEAKER_29 |
transcript.pyannote[123].start |
6465.38346875 |
transcript.pyannote[123].end |
6483.18659375 |
transcript.pyannote[124].speaker |
SPEAKER_23 |
transcript.pyannote[124].start |
6483.81096875 |
transcript.pyannote[124].end |
6498.13784375 |
transcript.pyannote[125].speaker |
SPEAKER_29 |
transcript.pyannote[125].start |
6498.99846875 |
transcript.pyannote[125].end |
6503.84159375 |
transcript.pyannote[126].speaker |
SPEAKER_29 |
transcript.pyannote[126].start |
6505.10721875 |
transcript.pyannote[126].end |
6508.83659375 |
transcript.pyannote[127].speaker |
SPEAKER_29 |
transcript.pyannote[127].start |
6509.24159375 |
transcript.pyannote[127].end |
6520.98659375 |
transcript.pyannote[128].speaker |
SPEAKER_29 |
transcript.pyannote[128].start |
6593.78534375 |
transcript.pyannote[128].end |
6595.52346875 |
transcript.pyannote[129].speaker |
SPEAKER_29 |
transcript.pyannote[129].start |
6596.16471875 |
transcript.pyannote[129].end |
6597.56534375 |
transcript.pyannote[130].speaker |
SPEAKER_29 |
transcript.pyannote[130].start |
6598.76346875 |
transcript.pyannote[130].end |
6599.87721875 |
transcript.pyannote[131].speaker |
SPEAKER_29 |
transcript.pyannote[131].start |
6600.33284375 |
transcript.pyannote[131].end |
6614.03534375 |
transcript.pyannote[132].speaker |
SPEAKER_29 |
transcript.pyannote[132].start |
6687.66096875 |
transcript.pyannote[132].end |
6690.79971875 |
transcript.pyannote[133].speaker |
SPEAKER_29 |
transcript.pyannote[133].start |
6691.30596875 |
transcript.pyannote[133].end |
6696.38534375 |
transcript.pyannote[134].speaker |
SPEAKER_29 |
transcript.pyannote[134].start |
6696.68909375 |
transcript.pyannote[134].end |
6698.59596875 |
transcript.pyannote[135].speaker |
SPEAKER_29 |
transcript.pyannote[135].start |
6700.24971875 |
transcript.pyannote[135].end |
6705.36284375 |
transcript.pyannote[136].speaker |
SPEAKER_29 |
transcript.pyannote[136].start |
6706.07159375 |
transcript.pyannote[136].end |
6709.96971875 |
transcript.pyannote[137].speaker |
SPEAKER_29 |
transcript.pyannote[137].start |
6710.22284375 |
transcript.pyannote[137].end |
6716.16284375 |
transcript.pyannote[138].speaker |
SPEAKER_27 |
transcript.pyannote[138].start |
6716.02784375 |
transcript.pyannote[138].end |
6716.09534375 |
transcript.pyannote[139].speaker |
SPEAKER_27 |
transcript.pyannote[139].start |
6716.16284375 |
transcript.pyannote[139].end |
6719.80784375 |
transcript.pyannote[140].speaker |
SPEAKER_30 |
transcript.pyannote[140].start |
6720.48284375 |
transcript.pyannote[140].end |
6748.49534375 |
transcript.pyannote[141].speaker |
SPEAKER_30 |
transcript.pyannote[141].start |
6748.64721875 |
transcript.pyannote[141].end |
6799.77846875 |
transcript.pyannote[142].speaker |
SPEAKER_30 |
transcript.pyannote[142].start |
6800.23409375 |
transcript.pyannote[142].end |
6802.69784375 |
transcript.pyannote[143].speaker |
SPEAKER_30 |
transcript.pyannote[143].start |
6803.74409375 |
transcript.pyannote[143].end |
6819.55596875 |
transcript.pyannote[144].speaker |
SPEAKER_30 |
transcript.pyannote[144].start |
6819.82596875 |
transcript.pyannote[144].end |
6845.22284375 |
transcript.pyannote[145].speaker |
SPEAKER_30 |
transcript.pyannote[145].start |
6845.57721875 |
transcript.pyannote[145].end |
6849.98159375 |
transcript.pyannote[146].speaker |
SPEAKER_29 |
transcript.pyannote[146].start |
6891.54471875 |
transcript.pyannote[146].end |
6896.86034375 |
transcript.pyannote[147].speaker |
SPEAKER_29 |
transcript.pyannote[147].start |
6897.61971875 |
transcript.pyannote[147].end |
6906.07409375 |
transcript.pyannote[148].speaker |
SPEAKER_29 |
transcript.pyannote[148].start |
6907.96409375 |
transcript.pyannote[148].end |
6914.37659375 |
transcript.pyannote[149].speaker |
SPEAKER_29 |
transcript.pyannote[149].start |
6914.68034375 |
transcript.pyannote[149].end |
6917.02596875 |
transcript.pyannote[150].speaker |
SPEAKER_29 |
transcript.pyannote[150].start |
6917.56596875 |
transcript.pyannote[150].end |
6923.62409375 |
transcript.pyannote[151].speaker |
SPEAKER_29 |
transcript.pyannote[151].start |
6924.43409375 |
transcript.pyannote[151].end |
6930.62721875 |
transcript.pyannote[152].speaker |
SPEAKER_29 |
transcript.pyannote[152].start |
6931.13346875 |
transcript.pyannote[152].end |
6934.47471875 |
transcript.pyannote[153].speaker |
SPEAKER_29 |
transcript.pyannote[153].start |
6935.57159375 |
transcript.pyannote[153].end |
6940.09409375 |
transcript.pyannote[154].speaker |
SPEAKER_29 |
transcript.pyannote[154].start |
6940.83659375 |
transcript.pyannote[154].end |
6942.25409375 |
transcript.pyannote[155].speaker |
SPEAKER_29 |
transcript.pyannote[155].start |
6943.16534375 |
transcript.pyannote[155].end |
6946.18596875 |
transcript.pyannote[156].speaker |
SPEAKER_29 |
transcript.pyannote[156].start |
6946.75971875 |
transcript.pyannote[156].end |
6947.43471875 |
transcript.pyannote[157].speaker |
SPEAKER_29 |
transcript.pyannote[157].start |
6947.75534375 |
transcript.pyannote[157].end |
6948.31221875 |
transcript.pyannote[158].speaker |
SPEAKER_29 |
transcript.pyannote[158].start |
6948.76784375 |
transcript.pyannote[158].end |
6954.60659375 |
transcript.pyannote[159].speaker |
SPEAKER_29 |
transcript.pyannote[159].start |
6955.41659375 |
transcript.pyannote[159].end |
6957.27284375 |
transcript.pyannote[160].speaker |
SPEAKER_29 |
transcript.pyannote[160].start |
6957.57659375 |
transcript.pyannote[160].end |
6959.56784375 |
transcript.pyannote[161].speaker |
SPEAKER_29 |
transcript.pyannote[161].start |
6959.90534375 |
transcript.pyannote[161].end |
6962.84159375 |
transcript.pyannote[162].speaker |
SPEAKER_29 |
transcript.pyannote[162].start |
6962.94284375 |
transcript.pyannote[162].end |
6962.95971875 |
transcript.pyannote[163].speaker |
SPEAKER_29 |
transcript.pyannote[163].start |
6962.97659375 |
transcript.pyannote[163].end |
6971.97096875 |
transcript.pyannote[164].speaker |
SPEAKER_29 |
transcript.pyannote[164].start |
6972.27471875 |
transcript.pyannote[164].end |
6975.02534375 |
transcript.pyannote[165].speaker |
SPEAKER_29 |
transcript.pyannote[165].start |
6976.62846875 |
transcript.pyannote[165].end |
6978.99096875 |
transcript.pyannote[166].speaker |
SPEAKER_29 |
transcript.pyannote[166].start |
6979.71659375 |
transcript.pyannote[166].end |
6981.04971875 |
transcript.pyannote[167].speaker |
SPEAKER_29 |
transcript.pyannote[167].start |
6981.40409375 |
transcript.pyannote[167].end |
6986.11221875 |
transcript.pyannote[168].speaker |
SPEAKER_25 |
transcript.pyannote[168].start |
6986.11221875 |
transcript.pyannote[168].end |
6986.83784375 |
transcript.pyannote[169].speaker |
SPEAKER_25 |
transcript.pyannote[169].start |
6987.20909375 |
transcript.pyannote[169].end |
6988.03596875 |
transcript.pyannote[170].speaker |
SPEAKER_29 |
transcript.pyannote[170].start |
6988.74471875 |
transcript.pyannote[170].end |
6989.99346875 |
transcript.pyannote[171].speaker |
SPEAKER_29 |
transcript.pyannote[171].start |
6990.21284375 |
transcript.pyannote[171].end |
6991.32659375 |
transcript.pyannote[172].speaker |
SPEAKER_29 |
transcript.pyannote[172].start |
6991.59659375 |
transcript.pyannote[172].end |
6995.61284375 |
transcript.pyannote[173].speaker |
SPEAKER_29 |
transcript.pyannote[173].start |
6996.42284375 |
transcript.pyannote[173].end |
7001.45159375 |
transcript.pyannote[174].speaker |
SPEAKER_29 |
transcript.pyannote[174].start |
7002.81846875 |
transcript.pyannote[174].end |
7005.40034375 |
transcript.pyannote[175].speaker |
SPEAKER_29 |
transcript.pyannote[175].start |
7006.42971875 |
transcript.pyannote[175].end |
7017.65159375 |
transcript.pyannote[176].speaker |
SPEAKER_29 |
transcript.pyannote[176].start |
7018.88346875 |
transcript.pyannote[176].end |
7021.09409375 |
transcript.pyannote[177].speaker |
SPEAKER_29 |
transcript.pyannote[177].start |
7021.71846875 |
transcript.pyannote[177].end |
7023.65909375 |
transcript.pyannote[178].speaker |
SPEAKER_29 |
transcript.pyannote[178].start |
7025.73471875 |
transcript.pyannote[178].end |
7026.89909375 |
transcript.pyannote[179].speaker |
SPEAKER_29 |
transcript.pyannote[179].start |
7027.42221875 |
transcript.pyannote[179].end |
7029.44721875 |
transcript.pyannote[180].speaker |
SPEAKER_29 |
transcript.pyannote[180].start |
7029.63284375 |
transcript.pyannote[180].end |
7031.60721875 |
transcript.pyannote[181].speaker |
SPEAKER_29 |
transcript.pyannote[181].start |
7031.97846875 |
transcript.pyannote[181].end |
7033.88534375 |
transcript.pyannote[182].speaker |
SPEAKER_29 |
transcript.pyannote[182].start |
7034.72909375 |
transcript.pyannote[182].end |
7036.90596875 |
transcript.pyannote[183].speaker |
SPEAKER_29 |
transcript.pyannote[183].start |
7184.37659375 |
transcript.pyannote[183].end |
7186.36784375 |
transcript.pyannote[184].speaker |
SPEAKER_29 |
transcript.pyannote[184].start |
7187.09346875 |
transcript.pyannote[184].end |
7189.87784375 |
transcript.pyannote[185].speaker |
SPEAKER_29 |
transcript.pyannote[185].start |
7190.19846875 |
transcript.pyannote[185].end |
7190.94096875 |
transcript.pyannote[186].speaker |
SPEAKER_29 |
transcript.pyannote[186].start |
7191.98721875 |
transcript.pyannote[186].end |
7192.88159375 |
transcript.pyannote[187].speaker |
SPEAKER_29 |
transcript.pyannote[187].start |
7193.10096875 |
transcript.pyannote[187].end |
7196.42534375 |
transcript.pyannote[188].speaker |
SPEAKER_29 |
transcript.pyannote[188].start |
7197.40409375 |
transcript.pyannote[188].end |
7198.90596875 |
transcript.pyannote[189].speaker |
SPEAKER_29 |
transcript.pyannote[189].start |
7200.40784375 |
transcript.pyannote[189].end |
7201.87596875 |
transcript.pyannote[190].speaker |
SPEAKER_29 |
transcript.pyannote[190].start |
7202.43284375 |
transcript.pyannote[190].end |
7204.03596875 |
transcript.pyannote[191].speaker |
SPEAKER_29 |
transcript.pyannote[191].start |
7204.33971875 |
transcript.pyannote[191].end |
7206.16221875 |
transcript.pyannote[192].speaker |
SPEAKER_29 |
transcript.pyannote[192].start |
7206.28034375 |
transcript.pyannote[192].end |
7211.12346875 |
transcript.pyannote[193].speaker |
SPEAKER_29 |
transcript.pyannote[193].start |
7211.61284375 |
transcript.pyannote[193].end |
7214.04284375 |
transcript.pyannote[194].speaker |
SPEAKER_29 |
transcript.pyannote[194].start |
7214.66721875 |
transcript.pyannote[194].end |
7215.27471875 |
transcript.pyannote[195].speaker |
SPEAKER_29 |
transcript.pyannote[195].start |
7215.42659375 |
transcript.pyannote[195].end |
7216.25346875 |
transcript.pyannote[196].speaker |
SPEAKER_29 |
transcript.pyannote[196].start |
7216.97909375 |
transcript.pyannote[196].end |
7222.75034375 |
transcript.pyannote[197].speaker |
SPEAKER_29 |
transcript.pyannote[197].start |
7293.64221875 |
transcript.pyannote[197].end |
7294.31721875 |
transcript.pyannote[198].speaker |
SPEAKER_29 |
transcript.pyannote[198].start |
7294.89096875 |
transcript.pyannote[198].end |
7297.87784375 |
transcript.pyannote[199].speaker |
SPEAKER_29 |
transcript.pyannote[199].start |
7298.70471875 |
transcript.pyannote[199].end |
7303.04159375 |
transcript.pyannote[200].speaker |
SPEAKER_29 |
transcript.pyannote[200].start |
7303.37909375 |
transcript.pyannote[200].end |
7307.41221875 |
transcript.pyannote[201].speaker |
SPEAKER_29 |
transcript.pyannote[201].start |
7307.46284375 |
transcript.pyannote[201].end |
7307.54721875 |
transcript.pyannote[202].speaker |
SPEAKER_29 |
transcript.pyannote[202].start |
7307.58096875 |
transcript.pyannote[202].end |
7312.81221875 |
transcript.pyannote[203].speaker |
SPEAKER_29 |
transcript.pyannote[203].start |
7314.75284375 |
transcript.pyannote[203].end |
7323.19034375 |
transcript.pyannote[204].speaker |
SPEAKER_23 |
transcript.pyannote[204].start |
7323.71346875 |
transcript.pyannote[204].end |
7342.07346875 |
transcript.pyannote[205].speaker |
SPEAKER_23 |
transcript.pyannote[205].start |
7342.56284375 |
transcript.pyannote[205].end |
7365.56346875 |
transcript.pyannote[206].speaker |
SPEAKER_23 |
transcript.pyannote[206].start |
7366.03596875 |
transcript.pyannote[206].end |
7370.84534375 |
transcript.pyannote[207].speaker |
SPEAKER_29 |
transcript.pyannote[207].start |
7373.29221875 |
transcript.pyannote[207].end |
7384.86846875 |
transcript.pyannote[208].speaker |
SPEAKER_29 |
transcript.pyannote[208].start |
7385.62784375 |
transcript.pyannote[208].end |
7392.14159375 |
transcript.pyannote[209].speaker |
SPEAKER_23 |
transcript.pyannote[209].start |
7392.59721875 |
transcript.pyannote[209].end |
7393.33971875 |
transcript.pyannote[210].speaker |
SPEAKER_23 |
transcript.pyannote[210].start |
7393.40721875 |
transcript.pyannote[210].end |
7402.48596875 |
transcript.pyannote[211].speaker |
SPEAKER_29 |
transcript.pyannote[211].start |
7402.82346875 |
transcript.pyannote[211].end |
7407.02534375 |
transcript.pyannote[212].speaker |
SPEAKER_29 |
transcript.pyannote[212].start |
7407.16034375 |
transcript.pyannote[212].end |
7413.77534375 |
transcript.pyannote[213].speaker |
SPEAKER_29 |
transcript.pyannote[213].start |
7414.29846875 |
transcript.pyannote[213].end |
7427.34284375 |
transcript.pyannote[214].speaker |
SPEAKER_29 |
transcript.pyannote[214].start |
7427.46096875 |
transcript.pyannote[214].end |
7432.03409375 |
transcript.pyannote[215].speaker |
SPEAKER_29 |
transcript.pyannote[215].start |
8259.44909375 |
transcript.pyannote[215].end |
8264.81534375 |
transcript.pyannote[216].speaker |
SPEAKER_29 |
transcript.pyannote[216].start |
8265.74346875 |
transcript.pyannote[216].end |
8269.64159375 |
transcript.pyannote[217].speaker |
SPEAKER_29 |
transcript.pyannote[217].start |
8270.24909375 |
transcript.pyannote[217].end |
8282.29784375 |
transcript.pyannote[218].speaker |
SPEAKER_29 |
transcript.pyannote[218].start |
8283.41159375 |
transcript.pyannote[218].end |
8283.96846875 |
transcript.pyannote[219].speaker |
SPEAKER_30 |
transcript.pyannote[219].start |
8283.96846875 |
transcript.pyannote[219].end |
8287.57971875 |
transcript.pyannote[220].speaker |
SPEAKER_30 |
transcript.pyannote[220].start |
8288.23784375 |
transcript.pyannote[220].end |
8305.61909375 |
transcript.pyannote[221].speaker |
SPEAKER_30 |
transcript.pyannote[221].start |
8306.15909375 |
transcript.pyannote[221].end |
8324.02971875 |
transcript.pyannote[222].speaker |
SPEAKER_29 |
transcript.pyannote[222].start |
8324.02971875 |
transcript.pyannote[222].end |
8329.17659375 |
transcript.pyannote[223].speaker |
SPEAKER_29 |
transcript.pyannote[223].start |
8329.66596875 |
transcript.pyannote[223].end |
8334.66096875 |
transcript.pyannote[224].speaker |
SPEAKER_29 |
transcript.pyannote[224].start |
8334.82971875 |
transcript.pyannote[224].end |
8337.98534375 |
transcript.pyannote[225].speaker |
SPEAKER_29 |
transcript.pyannote[225].start |
8339.21721875 |
transcript.pyannote[225].end |
8340.73596875 |
transcript.pyannote[226].speaker |
SPEAKER_29 |
transcript.pyannote[226].start |
8341.47846875 |
transcript.pyannote[226].end |
8342.81159375 |
transcript.pyannote[227].speaker |
SPEAKER_29 |
transcript.pyannote[227].start |
8343.16596875 |
transcript.pyannote[227].end |
8356.73346875 |
transcript.pyannote[228].speaker |
SPEAKER_29 |
transcript.pyannote[228].start |
8356.86846875 |
transcript.pyannote[228].end |
8364.90096875 |
transcript.pyannote[229].speaker |
SPEAKER_29 |
transcript.pyannote[229].start |
8372.79846875 |
transcript.pyannote[229].end |
8373.76034375 |
transcript.pyannote[230].speaker |
SPEAKER_29 |
transcript.pyannote[230].start |
8373.82784375 |
transcript.pyannote[230].end |
8381.03346875 |
transcript.pyannote[231].speaker |
SPEAKER_23 |
transcript.pyannote[231].start |
8381.92784375 |
transcript.pyannote[231].end |
8401.14846875 |
transcript.pyannote[232].speaker |
SPEAKER_23 |
transcript.pyannote[232].start |
8401.63784375 |
transcript.pyannote[232].end |
8424.79034375 |
transcript.pyannote[233].speaker |
SPEAKER_29 |
transcript.pyannote[233].start |
8425.46534375 |
transcript.pyannote[233].end |
8429.66721875 |
transcript.pyannote[234].speaker |
SPEAKER_13 |
transcript.pyannote[234].start |
8443.09971875 |
transcript.pyannote[234].end |
8443.47096875 |
transcript.pyannote[235].speaker |
SPEAKER_13 |
transcript.pyannote[235].start |
8457.42659375 |
transcript.pyannote[235].end |
8458.35471875 |
transcript.pyannote[236].speaker |
SPEAKER_13 |
transcript.pyannote[236].start |
8460.54846875 |
transcript.pyannote[236].end |
8461.24034375 |
transcript.pyannote[237].speaker |
SPEAKER_13 |
transcript.pyannote[237].start |
8462.28659375 |
transcript.pyannote[237].end |
8467.01159375 |
transcript.pyannote[238].speaker |
SPEAKER_13 |
transcript.pyannote[238].start |
8467.58534375 |
transcript.pyannote[238].end |
8469.25596875 |
transcript.pyannote[239].speaker |
SPEAKER_13 |
transcript.pyannote[239].start |
8469.93096875 |
transcript.pyannote[239].end |
8472.15846875 |
transcript.pyannote[240].speaker |
SPEAKER_13 |
transcript.pyannote[240].start |
8474.67284375 |
transcript.pyannote[240].end |
8478.65534375 |
transcript.pyannote[241].speaker |
SPEAKER_13 |
transcript.pyannote[241].start |
8479.49909375 |
transcript.pyannote[241].end |
8480.83221875 |
transcript.pyannote[242].speaker |
SPEAKER_13 |
transcript.pyannote[242].start |
8481.89534375 |
transcript.pyannote[242].end |
8483.19471875 |
transcript.pyannote[243].speaker |
SPEAKER_13 |
transcript.pyannote[243].start |
8483.63346875 |
transcript.pyannote[243].end |
8484.62909375 |
transcript.pyannote[244].speaker |
SPEAKER_13 |
transcript.pyannote[244].start |
8485.03409375 |
transcript.pyannote[244].end |
8493.35346875 |
transcript.pyannote[245].speaker |
SPEAKER_13 |
transcript.pyannote[245].start |
8493.77534375 |
transcript.pyannote[245].end |
8494.50096875 |
transcript.pyannote[246].speaker |
SPEAKER_13 |
transcript.pyannote[246].start |
8495.24346875 |
transcript.pyannote[246].end |
8496.62721875 |
transcript.pyannote[247].speaker |
SPEAKER_13 |
transcript.pyannote[247].start |
8498.17971875 |
transcript.pyannote[247].end |
8500.91346875 |
transcript.pyannote[248].speaker |
SPEAKER_13 |
transcript.pyannote[248].start |
8501.85846875 |
transcript.pyannote[248].end |
8506.54971875 |
transcript.pyannote[249].speaker |
SPEAKER_13 |
transcript.pyannote[249].start |
8507.14034375 |
transcript.pyannote[249].end |
8507.68034375 |
transcript.pyannote[250].speaker |
SPEAKER_13 |
transcript.pyannote[250].start |
8508.50721875 |
transcript.pyannote[250].end |
8511.37596875 |
transcript.pyannote[251].speaker |
SPEAKER_13 |
transcript.pyannote[251].start |
8511.73034375 |
transcript.pyannote[251].end |
8512.94534375 |
transcript.pyannote[252].speaker |
SPEAKER_13 |
transcript.pyannote[252].start |
8513.63721875 |
transcript.pyannote[252].end |
8519.20596875 |
transcript.pyannote[253].speaker |
SPEAKER_13 |
transcript.pyannote[253].start |
8521.48409375 |
transcript.pyannote[253].end |
8522.12534375 |
transcript.pyannote[254].speaker |
SPEAKER_13 |
transcript.pyannote[254].start |
8522.95221875 |
transcript.pyannote[254].end |
8525.16284375 |
transcript.pyannote[255].speaker |
SPEAKER_13 |
transcript.pyannote[255].start |
8525.63534375 |
transcript.pyannote[255].end |
8528.55471875 |
transcript.pyannote[256].speaker |
SPEAKER_13 |
transcript.pyannote[256].start |
8529.16221875 |
transcript.pyannote[256].end |
8530.09034375 |
transcript.pyannote[257].speaker |
SPEAKER_13 |
transcript.pyannote[257].start |
8530.64721875 |
transcript.pyannote[257].end |
8533.24596875 |
transcript.pyannote[258].speaker |
SPEAKER_13 |
transcript.pyannote[258].start |
8534.96721875 |
transcript.pyannote[258].end |
8535.64221875 |
transcript.pyannote[259].speaker |
SPEAKER_13 |
transcript.pyannote[259].start |
8536.24971875 |
transcript.pyannote[259].end |
8537.70096875 |
transcript.pyannote[260].speaker |
SPEAKER_13 |
transcript.pyannote[260].start |
8538.44346875 |
transcript.pyannote[260].end |
8540.01284375 |
transcript.pyannote[261].speaker |
SPEAKER_13 |
transcript.pyannote[261].start |
8540.73846875 |
transcript.pyannote[261].end |
8542.44284375 |
transcript.pyannote[262].speaker |
SPEAKER_13 |
transcript.pyannote[262].start |
8542.81409375 |
transcript.pyannote[262].end |
8547.10034375 |
transcript.pyannote[263].speaker |
SPEAKER_13 |
transcript.pyannote[263].start |
8548.48409375 |
transcript.pyannote[263].end |
8549.61471875 |
transcript.pyannote[264].speaker |
SPEAKER_13 |
transcript.pyannote[264].start |
8550.30659375 |
transcript.pyannote[264].end |
8551.26846875 |
transcript.pyannote[265].speaker |
SPEAKER_13 |
transcript.pyannote[265].start |
8552.46659375 |
transcript.pyannote[265].end |
8554.18784375 |
transcript.pyannote[266].speaker |
SPEAKER_13 |
transcript.pyannote[266].start |
8554.57596875 |
transcript.pyannote[266].end |
8555.47034375 |
transcript.pyannote[267].speaker |
SPEAKER_13 |
transcript.pyannote[267].start |
8556.12846875 |
transcript.pyannote[267].end |
8556.90471875 |
transcript.pyannote[268].speaker |
SPEAKER_13 |
transcript.pyannote[268].start |
8557.46159375 |
transcript.pyannote[268].end |
8559.16596875 |
transcript.pyannote[269].speaker |
SPEAKER_13 |
transcript.pyannote[269].start |
8559.35159375 |
transcript.pyannote[269].end |
8560.33034375 |
transcript.pyannote[270].speaker |
SPEAKER_13 |
transcript.pyannote[270].start |
8561.69721875 |
transcript.pyannote[270].end |
8563.13159375 |
transcript.pyannote[271].speaker |
SPEAKER_13 |
transcript.pyannote[271].start |
8564.24534375 |
transcript.pyannote[271].end |
8565.27471875 |
transcript.pyannote[272].speaker |
SPEAKER_13 |
transcript.pyannote[272].start |
8566.60784375 |
transcript.pyannote[272].end |
8567.65409375 |
transcript.pyannote[273].speaker |
SPEAKER_13 |
transcript.pyannote[273].start |
8568.07596875 |
transcript.pyannote[273].end |
8569.32471875 |
transcript.pyannote[274].speaker |
SPEAKER_13 |
transcript.pyannote[274].start |
8569.76346875 |
transcript.pyannote[274].end |
8570.99534375 |
transcript.pyannote[275].speaker |
SPEAKER_13 |
transcript.pyannote[275].start |
8571.14721875 |
transcript.pyannote[275].end |
8571.78846875 |
transcript.pyannote[276].speaker |
SPEAKER_13 |
transcript.pyannote[276].start |
8572.93596875 |
transcript.pyannote[276].end |
8575.19721875 |
transcript.pyannote[277].speaker |
SPEAKER_13 |
transcript.pyannote[277].start |
8575.56846875 |
transcript.pyannote[277].end |
8576.27721875 |
transcript.pyannote[278].speaker |
SPEAKER_13 |
transcript.pyannote[278].start |
8577.23909375 |
transcript.pyannote[278].end |
8578.40346875 |
transcript.pyannote[279].speaker |
SPEAKER_13 |
transcript.pyannote[279].start |
8578.45409375 |
transcript.pyannote[279].end |
8579.55096875 |
transcript.pyannote[280].speaker |
SPEAKER_13 |
transcript.pyannote[280].start |
8580.04034375 |
transcript.pyannote[280].end |
8580.63096875 |
transcript.pyannote[281].speaker |
SPEAKER_13 |
transcript.pyannote[281].start |
8581.00221875 |
transcript.pyannote[281].end |
8581.99784375 |
transcript.pyannote[282].speaker |
SPEAKER_13 |
transcript.pyannote[282].start |
8582.28471875 |
transcript.pyannote[282].end |
8582.84159375 |
transcript.pyannote[283].speaker |
SPEAKER_13 |
transcript.pyannote[283].start |
8583.28034375 |
transcript.pyannote[283].end |
8585.05221875 |
transcript.pyannote[284].speaker |
SPEAKER_13 |
transcript.pyannote[284].start |
8585.86221875 |
transcript.pyannote[284].end |
8586.60471875 |
transcript.pyannote[285].speaker |
SPEAKER_13 |
transcript.pyannote[285].start |
8588.00534375 |
transcript.pyannote[285].end |
8589.23721875 |
transcript.pyannote[286].speaker |
SPEAKER_13 |
transcript.pyannote[286].start |
8589.82784375 |
transcript.pyannote[286].end |
8590.45221875 |
transcript.pyannote[287].speaker |
SPEAKER_13 |
transcript.pyannote[287].start |
8591.71784375 |
transcript.pyannote[287].end |
8592.52784375 |
transcript.pyannote[288].speaker |
SPEAKER_13 |
transcript.pyannote[288].start |
8592.66284375 |
transcript.pyannote[288].end |
8593.74284375 |
transcript.pyannote[289].speaker |
SPEAKER_13 |
transcript.pyannote[289].start |
8594.65409375 |
transcript.pyannote[289].end |
8595.41346875 |
transcript.pyannote[290].speaker |
SPEAKER_13 |
transcript.pyannote[290].start |
8596.20659375 |
transcript.pyannote[290].end |
8598.55221875 |
transcript.pyannote[291].speaker |
SPEAKER_13 |
transcript.pyannote[291].start |
8600.88096875 |
transcript.pyannote[291].end |
8602.34909375 |
transcript.pyannote[292].speaker |
SPEAKER_13 |
transcript.pyannote[292].start |
8602.77096875 |
transcript.pyannote[292].end |
8606.34846875 |
transcript.pyannote[293].speaker |
SPEAKER_13 |
transcript.pyannote[293].start |
8606.78721875 |
transcript.pyannote[293].end |
8616.59159375 |
transcript.pyannote[294].speaker |
SPEAKER_13 |
transcript.pyannote[294].start |
8617.03034375 |
transcript.pyannote[294].end |
8618.31284375 |
transcript.pyannote[295].speaker |
SPEAKER_13 |
transcript.pyannote[295].start |
8619.03846875 |
transcript.pyannote[295].end |
8620.03409375 |
transcript.pyannote[296].speaker |
SPEAKER_13 |
transcript.pyannote[296].start |
8620.37159375 |
transcript.pyannote[296].end |
8624.26971875 |
transcript.pyannote[297].speaker |
SPEAKER_13 |
transcript.pyannote[297].start |
8625.04596875 |
transcript.pyannote[297].end |
8628.77534375 |
transcript.pyannote[298].speaker |
SPEAKER_13 |
transcript.pyannote[298].start |
8630.26034375 |
transcript.pyannote[298].end |
8632.62284375 |
transcript.pyannote[299].speaker |
SPEAKER_13 |
transcript.pyannote[299].start |
8633.41596875 |
transcript.pyannote[299].end |
8635.59284375 |
transcript.pyannote[300].speaker |
SPEAKER_13 |
transcript.pyannote[300].start |
8636.16659375 |
transcript.pyannote[300].end |
8639.08596875 |
transcript.pyannote[301].speaker |
SPEAKER_13 |
transcript.pyannote[301].start |
8640.18284375 |
transcript.pyannote[301].end |
8642.32596875 |
transcript.pyannote[302].speaker |
SPEAKER_13 |
transcript.pyannote[302].start |
8642.54534375 |
transcript.pyannote[302].end |
8644.11471875 |
transcript.pyannote[303].speaker |
SPEAKER_13 |
transcript.pyannote[303].start |
8644.82346875 |
transcript.pyannote[303].end |
8647.82721875 |
transcript.pyannote[304].speaker |
SPEAKER_13 |
transcript.pyannote[304].start |
8648.51909375 |
transcript.pyannote[304].end |
8650.88159375 |
transcript.pyannote[305].speaker |
SPEAKER_13 |
transcript.pyannote[305].start |
8652.13034375 |
transcript.pyannote[305].end |
8654.52659375 |
transcript.pyannote[306].speaker |
SPEAKER_13 |
transcript.pyannote[306].start |
8655.04971875 |
transcript.pyannote[306].end |
8657.90159375 |
transcript.pyannote[307].speaker |
SPEAKER_13 |
transcript.pyannote[307].start |
8658.86346875 |
transcript.pyannote[307].end |
8660.77034375 |
transcript.pyannote[308].speaker |
SPEAKER_13 |
transcript.pyannote[308].start |
8661.39471875 |
transcript.pyannote[308].end |
8662.49159375 |
transcript.pyannote[309].speaker |
SPEAKER_13 |
transcript.pyannote[309].start |
8662.84596875 |
transcript.pyannote[309].end |
8664.07784375 |
transcript.pyannote[310].speaker |
SPEAKER_13 |
transcript.pyannote[310].start |
8664.68534375 |
transcript.pyannote[310].end |
8666.27159375 |
transcript.pyannote[311].speaker |
SPEAKER_13 |
transcript.pyannote[311].start |
8667.31784375 |
transcript.pyannote[311].end |
8668.38096875 |
transcript.pyannote[312].speaker |
SPEAKER_13 |
transcript.pyannote[312].start |
8668.56659375 |
transcript.pyannote[312].end |
8669.47784375 |
transcript.pyannote[313].speaker |
SPEAKER_13 |
transcript.pyannote[313].start |
8670.99659375 |
transcript.pyannote[313].end |
8671.55346875 |
transcript.pyannote[314].speaker |
SPEAKER_13 |
transcript.pyannote[314].start |
8671.65471875 |
transcript.pyannote[314].end |
8672.48159375 |
transcript.pyannote[315].speaker |
SPEAKER_13 |
transcript.pyannote[315].start |
8672.97096875 |
transcript.pyannote[315].end |
8675.23221875 |
transcript.pyannote[316].speaker |
SPEAKER_13 |
transcript.pyannote[316].start |
8675.50221875 |
transcript.pyannote[316].end |
8678.05034375 |
transcript.pyannote[317].speaker |
SPEAKER_13 |
transcript.pyannote[317].start |
8679.73784375 |
transcript.pyannote[317].end |
8680.71659375 |
transcript.pyannote[318].speaker |
SPEAKER_13 |
transcript.pyannote[318].start |
8681.39159375 |
transcript.pyannote[318].end |
8684.15909375 |
transcript.pyannote[319].speaker |
SPEAKER_13 |
transcript.pyannote[319].start |
8684.88471875 |
transcript.pyannote[319].end |
8687.17971875 |
transcript.pyannote[320].speaker |
SPEAKER_13 |
transcript.pyannote[320].start |
8688.31034375 |
transcript.pyannote[320].end |
8689.15409375 |
transcript.pyannote[321].speaker |
SPEAKER_13 |
transcript.pyannote[321].start |
8691.07784375 |
transcript.pyannote[321].end |
8692.76534375 |
transcript.pyannote[322].speaker |
SPEAKER_13 |
transcript.pyannote[322].start |
8694.41909375 |
transcript.pyannote[322].end |
8695.58346875 |
transcript.pyannote[323].speaker |
SPEAKER_13 |
transcript.pyannote[323].start |
8695.98846875 |
transcript.pyannote[323].end |
8697.37221875 |
transcript.pyannote[324].speaker |
SPEAKER_13 |
transcript.pyannote[324].start |
8698.06409375 |
transcript.pyannote[324].end |
8699.00909375 |
transcript.pyannote[325].speaker |
SPEAKER_13 |
transcript.pyannote[325].start |
8700.00471875 |
transcript.pyannote[325].end |
8701.94534375 |
transcript.pyannote[326].speaker |
SPEAKER_13 |
transcript.pyannote[326].start |
8702.83971875 |
transcript.pyannote[326].end |
8703.80159375 |
transcript.pyannote[327].speaker |
SPEAKER_13 |
transcript.pyannote[327].start |
8704.71284375 |
transcript.pyannote[327].end |
8705.75909375 |
transcript.pyannote[328].speaker |
SPEAKER_13 |
transcript.pyannote[328].start |
8706.29909375 |
transcript.pyannote[328].end |
8706.85596875 |
transcript.pyannote[329].speaker |
SPEAKER_13 |
transcript.pyannote[329].start |
8707.46346875 |
transcript.pyannote[329].end |
8708.08784375 |
transcript.pyannote[330].speaker |
SPEAKER_13 |
transcript.pyannote[330].start |
8708.88096875 |
transcript.pyannote[330].end |
8709.67409375 |
transcript.pyannote[331].speaker |
SPEAKER_13 |
transcript.pyannote[331].start |
8710.02846875 |
transcript.pyannote[331].end |
8711.42909375 |
transcript.pyannote[332].speaker |
SPEAKER_13 |
transcript.pyannote[332].start |
8713.89284375 |
transcript.pyannote[332].end |
8715.41159375 |
transcript.pyannote[333].speaker |
SPEAKER_13 |
transcript.pyannote[333].start |
8715.71534375 |
transcript.pyannote[333].end |
8720.45721875 |
transcript.pyannote[334].speaker |
SPEAKER_13 |
transcript.pyannote[334].start |
8721.04784375 |
transcript.pyannote[334].end |
8725.31721875 |
transcript.pyannote[335].speaker |
SPEAKER_13 |
transcript.pyannote[335].start |
8726.00909375 |
transcript.pyannote[335].end |
8727.15659375 |
transcript.pyannote[336].speaker |
SPEAKER_13 |
transcript.pyannote[336].start |
8727.67971875 |
transcript.pyannote[336].end |
8729.73846875 |
transcript.pyannote[337].speaker |
SPEAKER_13 |
transcript.pyannote[337].start |
8730.36284375 |
transcript.pyannote[337].end |
8732.67471875 |
transcript.pyannote[338].speaker |
SPEAKER_13 |
transcript.pyannote[338].start |
8732.89409375 |
transcript.pyannote[338].end |
8734.32846875 |
transcript.pyannote[339].speaker |
SPEAKER_13 |
transcript.pyannote[339].start |
8735.44221875 |
transcript.pyannote[339].end |
8736.53909375 |
transcript.pyannote[340].speaker |
SPEAKER_13 |
transcript.pyannote[340].start |
8737.38284375 |
transcript.pyannote[340].end |
8738.32784375 |
transcript.pyannote[341].speaker |
SPEAKER_13 |
transcript.pyannote[341].start |
8738.88471875 |
transcript.pyannote[341].end |
8742.69846875 |
transcript.pyannote[342].speaker |
SPEAKER_13 |
transcript.pyannote[342].start |
8743.37346875 |
transcript.pyannote[342].end |
8745.02721875 |
transcript.pyannote[343].speaker |
SPEAKER_13 |
transcript.pyannote[343].start |
8745.33096875 |
transcript.pyannote[343].end |
8747.20409375 |
transcript.pyannote[344].speaker |
SPEAKER_13 |
transcript.pyannote[344].start |
8748.85784375 |
transcript.pyannote[344].end |
8750.02221875 |
transcript.pyannote[345].speaker |
SPEAKER_13 |
transcript.pyannote[345].start |
8751.13596875 |
transcript.pyannote[345].end |
8754.40971875 |
transcript.pyannote[346].speaker |
SPEAKER_13 |
transcript.pyannote[346].start |
8756.14784375 |
transcript.pyannote[346].end |
8763.40409375 |
transcript.pyannote[347].speaker |
SPEAKER_13 |
transcript.pyannote[347].start |
8764.01159375 |
transcript.pyannote[347].end |
8765.04096875 |
transcript.pyannote[348].speaker |
SPEAKER_29 |
transcript.pyannote[348].start |
8774.96346875 |
transcript.pyannote[348].end |
8776.80284375 |
transcript.pyannote[349].speaker |
SPEAKER_29 |
transcript.pyannote[349].start |
8777.93346875 |
transcript.pyannote[349].end |
8778.35534375 |
transcript.pyannote[350].speaker |
SPEAKER_29 |
transcript.pyannote[350].start |
8778.59159375 |
transcript.pyannote[350].end |
8781.94971875 |
transcript.pyannote[351].speaker |
SPEAKER_09 |
transcript.pyannote[351].start |
8787.38346875 |
transcript.pyannote[351].end |
8789.62784375 |
transcript.pyannote[352].speaker |
SPEAKER_09 |
transcript.pyannote[352].start |
8789.96534375 |
transcript.pyannote[352].end |
8793.62721875 |
transcript.pyannote[353].speaker |
SPEAKER_09 |
transcript.pyannote[353].start |
8794.06596875 |
transcript.pyannote[353].end |
8795.43284375 |
transcript.pyannote[354].speaker |
SPEAKER_09 |
transcript.pyannote[354].start |
8796.00659375 |
transcript.pyannote[354].end |
8797.71096875 |
transcript.pyannote[355].speaker |
SPEAKER_09 |
transcript.pyannote[355].start |
8798.06534375 |
transcript.pyannote[355].end |
8799.82034375 |
transcript.pyannote[356].speaker |
SPEAKER_09 |
transcript.pyannote[356].start |
8800.19159375 |
transcript.pyannote[356].end |
8806.65471875 |
transcript.pyannote[357].speaker |
SPEAKER_09 |
transcript.pyannote[357].start |
8807.31284375 |
transcript.pyannote[357].end |
8808.37596875 |
transcript.pyannote[358].speaker |
SPEAKER_09 |
transcript.pyannote[358].start |
8808.79784375 |
transcript.pyannote[358].end |
8811.41346875 |
transcript.pyannote[359].speaker |
SPEAKER_09 |
transcript.pyannote[359].start |
8812.20659375 |
transcript.pyannote[359].end |
8813.06721875 |
transcript.pyannote[360].speaker |
SPEAKER_09 |
transcript.pyannote[360].start |
8813.28659375 |
transcript.pyannote[360].end |
8814.78846875 |
transcript.pyannote[361].speaker |
SPEAKER_09 |
transcript.pyannote[361].start |
8815.37909375 |
transcript.pyannote[361].end |
8818.43346875 |
transcript.pyannote[362].speaker |
SPEAKER_09 |
transcript.pyannote[362].start |
8819.22659375 |
transcript.pyannote[362].end |
8820.37409375 |
transcript.pyannote[363].speaker |
SPEAKER_09 |
transcript.pyannote[363].start |
8820.94784375 |
transcript.pyannote[363].end |
8824.76159375 |
transcript.pyannote[364].speaker |
SPEAKER_09 |
transcript.pyannote[364].start |
8825.31846875 |
transcript.pyannote[364].end |
8826.71909375 |
transcript.pyannote[365].speaker |
SPEAKER_09 |
transcript.pyannote[365].start |
8826.87096875 |
transcript.pyannote[365].end |
8830.19534375 |
transcript.pyannote[366].speaker |
SPEAKER_09 |
transcript.pyannote[366].start |
8830.51596875 |
transcript.pyannote[366].end |
8832.16971875 |
transcript.pyannote[367].speaker |
SPEAKER_09 |
transcript.pyannote[367].start |
8833.01346875 |
transcript.pyannote[367].end |
8840.13471875 |
transcript.pyannote[368].speaker |
SPEAKER_09 |
transcript.pyannote[368].start |
8840.72534375 |
transcript.pyannote[368].end |
8842.71659375 |
transcript.pyannote[369].speaker |
SPEAKER_09 |
transcript.pyannote[369].start |
8843.37471875 |
transcript.pyannote[369].end |
8845.23096875 |
transcript.pyannote[370].speaker |
SPEAKER_09 |
transcript.pyannote[370].start |
8845.46721875 |
transcript.pyannote[370].end |
8853.46596875 |
transcript.pyannote[371].speaker |
SPEAKER_09 |
transcript.pyannote[371].start |
8854.30971875 |
transcript.pyannote[371].end |
8857.92096875 |
transcript.pyannote[372].speaker |
SPEAKER_09 |
transcript.pyannote[372].start |
8858.20784375 |
transcript.pyannote[372].end |
8878.69409375 |
transcript.pyannote[373].speaker |
SPEAKER_09 |
transcript.pyannote[373].start |
8879.43659375 |
transcript.pyannote[373].end |
8882.03534375 |
transcript.pyannote[374].speaker |
SPEAKER_09 |
transcript.pyannote[374].start |
8882.77784375 |
transcript.pyannote[374].end |
8894.99534375 |
transcript.pyannote[375].speaker |
SPEAKER_09 |
transcript.pyannote[375].start |
8895.36659375 |
transcript.pyannote[375].end |
8897.07096875 |
transcript.pyannote[376].speaker |
SPEAKER_09 |
transcript.pyannote[376].start |
8897.74596875 |
transcript.pyannote[376].end |
8900.61471875 |
transcript.pyannote[377].speaker |
SPEAKER_09 |
transcript.pyannote[377].start |
8901.34034375 |
transcript.pyannote[377].end |
8903.02784375 |
transcript.pyannote[378].speaker |
SPEAKER_09 |
transcript.pyannote[378].start |
8903.68596875 |
transcript.pyannote[378].end |
8907.49971875 |
transcript.pyannote[379].speaker |
SPEAKER_09 |
transcript.pyannote[379].start |
8907.83721875 |
transcript.pyannote[379].end |
8911.29659375 |
transcript.pyannote[380].speaker |
SPEAKER_09 |
transcript.pyannote[380].start |
8911.70159375 |
transcript.pyannote[380].end |
8912.29221875 |
transcript.pyannote[381].speaker |
SPEAKER_09 |
transcript.pyannote[381].start |
8912.98409375 |
transcript.pyannote[381].end |
8918.02971875 |
transcript.pyannote[382].speaker |
SPEAKER_09 |
transcript.pyannote[382].start |
8918.19846875 |
transcript.pyannote[382].end |
8922.72096875 |
transcript.pyannote[383].speaker |
SPEAKER_09 |
transcript.pyannote[383].start |
8923.26096875 |
transcript.pyannote[383].end |
8926.80471875 |
transcript.pyannote[384].speaker |
SPEAKER_09 |
transcript.pyannote[384].start |
8927.41221875 |
transcript.pyannote[384].end |
8935.14096875 |
transcript.pyannote[385].speaker |
SPEAKER_09 |
transcript.pyannote[385].start |
8935.66409375 |
transcript.pyannote[385].end |
8939.05596875 |
transcript.pyannote[386].speaker |
SPEAKER_09 |
transcript.pyannote[386].start |
8939.66346875 |
transcript.pyannote[386].end |
8943.05534375 |
transcript.pyannote[387].speaker |
SPEAKER_09 |
transcript.pyannote[387].start |
8943.24096875 |
transcript.pyannote[387].end |
8949.83909375 |
transcript.pyannote[388].speaker |
SPEAKER_09 |
transcript.pyannote[388].start |
8950.27784375 |
transcript.pyannote[388].end |
8953.43346875 |
transcript.pyannote[389].speaker |
SPEAKER_09 |
transcript.pyannote[389].start |
8954.27721875 |
transcript.pyannote[389].end |
8962.30971875 |
transcript.pyannote[390].speaker |
SPEAKER_09 |
transcript.pyannote[390].start |
8962.69784375 |
transcript.pyannote[390].end |
8968.77284375 |
transcript.pyannote[391].speaker |
SPEAKER_09 |
transcript.pyannote[391].start |
8969.39721875 |
transcript.pyannote[391].end |
8983.94346875 |
transcript.pyannote[392].speaker |
SPEAKER_09 |
transcript.pyannote[392].start |
8984.36534375 |
transcript.pyannote[392].end |
9001.94909375 |
transcript.pyannote[393].speaker |
SPEAKER_09 |
transcript.pyannote[393].start |
9002.37096875 |
transcript.pyannote[393].end |
9016.37721875 |
transcript.pyannote[394].speaker |
SPEAKER_09 |
transcript.pyannote[394].start |
9016.84971875 |
transcript.pyannote[394].end |
9035.47971875 |
transcript.pyannote[395].speaker |
SPEAKER_00 |
transcript.pyannote[395].start |
9032.61096875 |
transcript.pyannote[395].end |
9032.89784375 |
transcript.pyannote[396].speaker |
SPEAKER_09 |
transcript.pyannote[396].start |
9036.32346875 |
transcript.pyannote[396].end |
9067.22159375 |
transcript.pyannote[397].speaker |
SPEAKER_09 |
transcript.pyannote[397].start |
9067.84596875 |
transcript.pyannote[397].end |
9068.90909375 |
transcript.pyannote[398].speaker |
SPEAKER_09 |
transcript.pyannote[398].start |
9069.87096875 |
transcript.pyannote[398].end |
9071.28846875 |
transcript.pyannote[399].speaker |
SPEAKER_09 |
transcript.pyannote[399].start |
9071.64284375 |
transcript.pyannote[399].end |
9076.57034375 |
transcript.pyannote[400].speaker |
SPEAKER_09 |
transcript.pyannote[400].start |
9076.85721875 |
transcript.pyannote[400].end |
9081.21096875 |
transcript.pyannote[401].speaker |
SPEAKER_09 |
transcript.pyannote[401].start |
9082.02096875 |
transcript.pyannote[401].end |
9091.28534375 |
transcript.pyannote[402].speaker |
SPEAKER_29 |
transcript.pyannote[402].start |
9095.25096875 |
transcript.pyannote[402].end |
9101.10659375 |
transcript.pyannote[403].speaker |
SPEAKER_03 |
transcript.pyannote[403].start |
9106.74284375 |
transcript.pyannote[403].end |
9123.33096875 |
transcript.pyannote[404].speaker |
SPEAKER_03 |
transcript.pyannote[404].start |
9123.82034375 |
transcript.pyannote[404].end |
9126.63846875 |
transcript.pyannote[405].speaker |
SPEAKER_03 |
transcript.pyannote[405].start |
9126.97596875 |
transcript.pyannote[405].end |
9127.53284375 |
transcript.pyannote[406].speaker |
SPEAKER_03 |
transcript.pyannote[406].start |
9127.66784375 |
transcript.pyannote[406].end |
9129.64221875 |
transcript.pyannote[407].speaker |
SPEAKER_03 |
transcript.pyannote[407].start |
9129.77721875 |
transcript.pyannote[407].end |
9134.18159375 |
transcript.pyannote[408].speaker |
SPEAKER_03 |
transcript.pyannote[408].start |
9134.43471875 |
transcript.pyannote[408].end |
9136.88159375 |
transcript.pyannote[409].speaker |
SPEAKER_03 |
transcript.pyannote[409].start |
9137.28659375 |
transcript.pyannote[409].end |
9145.28534375 |
transcript.pyannote[410].speaker |
SPEAKER_03 |
transcript.pyannote[410].start |
9145.58909375 |
transcript.pyannote[410].end |
9147.41159375 |
transcript.pyannote[411].speaker |
SPEAKER_03 |
transcript.pyannote[411].start |
9147.73221875 |
transcript.pyannote[411].end |
9148.40721875 |
transcript.pyannote[412].speaker |
SPEAKER_03 |
transcript.pyannote[412].start |
9148.72784375 |
transcript.pyannote[412].end |
9156.06846875 |
transcript.pyannote[413].speaker |
SPEAKER_03 |
transcript.pyannote[413].start |
9156.40596875 |
transcript.pyannote[413].end |
9160.45596875 |
transcript.pyannote[414].speaker |
SPEAKER_03 |
transcript.pyannote[414].start |
9160.92846875 |
transcript.pyannote[414].end |
9162.58221875 |
transcript.pyannote[415].speaker |
SPEAKER_03 |
transcript.pyannote[415].start |
9162.88596875 |
transcript.pyannote[415].end |
9167.25659375 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
9167.47596875 |
transcript.pyannote[416].end |
9168.79221875 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
9169.04534375 |
transcript.pyannote[417].end |
9172.18409375 |
transcript.pyannote[418].speaker |
SPEAKER_03 |
transcript.pyannote[418].start |
9172.55534375 |
transcript.pyannote[418].end |
9191.33721875 |
transcript.pyannote[419].speaker |
SPEAKER_03 |
transcript.pyannote[419].start |
9191.87721875 |
transcript.pyannote[419].end |
9196.41659375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
9196.80471875 |
transcript.pyannote[420].end |
9199.69034375 |
transcript.pyannote[421].speaker |
SPEAKER_03 |
transcript.pyannote[421].start |
9200.75346875 |
transcript.pyannote[421].end |
9206.79471875 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
9207.18284375 |
transcript.pyannote[422].end |
9218.92784375 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
9219.13034375 |
transcript.pyannote[423].end |
9221.00346875 |
transcript.pyannote[424].speaker |
SPEAKER_03 |
transcript.pyannote[424].start |
9221.61096875 |
transcript.pyannote[424].end |
9226.85909375 |
transcript.pyannote[425].speaker |
SPEAKER_03 |
transcript.pyannote[425].start |
9227.51721875 |
transcript.pyannote[425].end |
9240.51096875 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
9240.93284375 |
transcript.pyannote[426].end |
9246.41721875 |
transcript.pyannote[427].speaker |
SPEAKER_03 |
transcript.pyannote[427].start |
9246.46784375 |
transcript.pyannote[427].end |
9286.37721875 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
9286.74846875 |
transcript.pyannote[428].end |
9291.96284375 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
9292.21596875 |
transcript.pyannote[429].end |
9295.70909375 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
9296.01284375 |
transcript.pyannote[430].end |
9299.30346875 |
transcript.pyannote[431].speaker |
SPEAKER_03 |
transcript.pyannote[431].start |
9299.55659375 |
transcript.pyannote[431].end |
9308.93909375 |
transcript.pyannote[432].speaker |
SPEAKER_03 |
transcript.pyannote[432].start |
9309.22596875 |
transcript.pyannote[432].end |
9309.93471875 |
transcript.pyannote[433].speaker |
SPEAKER_03 |
transcript.pyannote[433].start |
9310.64346875 |
transcript.pyannote[433].end |
9316.70159375 |
transcript.pyannote[434].speaker |
SPEAKER_03 |
transcript.pyannote[434].start |
9317.32596875 |
transcript.pyannote[434].end |
9319.24971875 |
transcript.pyannote[435].speaker |
SPEAKER_03 |
transcript.pyannote[435].start |
9319.78971875 |
transcript.pyannote[435].end |
9335.51721875 |
transcript.pyannote[436].speaker |
SPEAKER_03 |
transcript.pyannote[436].start |
9336.05721875 |
transcript.pyannote[436].end |
9352.56096875 |
transcript.pyannote[437].speaker |
SPEAKER_03 |
transcript.pyannote[437].start |
9353.16846875 |
transcript.pyannote[437].end |
9355.90221875 |
transcript.pyannote[438].speaker |
SPEAKER_03 |
transcript.pyannote[438].start |
9356.05409375 |
transcript.pyannote[438].end |
9361.75784375 |
transcript.pyannote[439].speaker |
SPEAKER_03 |
transcript.pyannote[439].start |
9362.38221875 |
transcript.pyannote[439].end |
9362.50034375 |
transcript.pyannote[440].speaker |
SPEAKER_03 |
transcript.pyannote[440].start |
9362.66909375 |
transcript.pyannote[440].end |
9365.62221875 |
transcript.pyannote[441].speaker |
SPEAKER_03 |
transcript.pyannote[441].start |
9365.67284375 |
transcript.pyannote[441].end |
9367.95096875 |
transcript.pyannote[442].speaker |
SPEAKER_03 |
transcript.pyannote[442].start |
9368.23784375 |
transcript.pyannote[442].end |
9372.05159375 |
transcript.pyannote[443].speaker |
SPEAKER_03 |
transcript.pyannote[443].start |
9372.45659375 |
transcript.pyannote[443].end |
9373.95846875 |
transcript.pyannote[444].speaker |
SPEAKER_03 |
transcript.pyannote[444].start |
9374.27909375 |
transcript.pyannote[444].end |
9375.22409375 |
transcript.pyannote[445].speaker |
SPEAKER_03 |
transcript.pyannote[445].start |
9375.64596875 |
transcript.pyannote[445].end |
9377.97471875 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
9378.56534375 |
transcript.pyannote[446].end |
9383.03721875 |
transcript.pyannote[447].speaker |
SPEAKER_03 |
transcript.pyannote[447].start |
9383.61096875 |
transcript.pyannote[447].end |
9384.82596875 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
9385.33221875 |
transcript.pyannote[448].end |
9385.97346875 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
9386.49659375 |
transcript.pyannote[449].end |
9386.91846875 |
transcript.pyannote[450].speaker |
SPEAKER_03 |
transcript.pyannote[450].start |
9387.34034375 |
transcript.pyannote[450].end |
9396.23346875 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
9396.60471875 |
transcript.pyannote[451].end |
9397.04346875 |
transcript.pyannote[452].speaker |
SPEAKER_03 |
transcript.pyannote[452].start |
9397.66784375 |
transcript.pyannote[452].end |
9400.84034375 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
9401.26221875 |
transcript.pyannote[453].end |
9406.61159375 |
transcript.pyannote[454].speaker |
SPEAKER_29 |
transcript.pyannote[454].start |
9412.80471875 |
transcript.pyannote[454].end |
9415.40346875 |
transcript.pyannote[455].speaker |
SPEAKER_29 |
transcript.pyannote[455].start |
9415.52159375 |
transcript.pyannote[455].end |
9420.61784375 |
transcript.pyannote[456].speaker |
SPEAKER_29 |
transcript.pyannote[456].start |
9420.68534375 |
transcript.pyannote[456].end |
9431.58659375 |
transcript.pyannote[457].speaker |
SPEAKER_29 |
transcript.pyannote[457].start |
9432.07596875 |
transcript.pyannote[457].end |
9433.74659375 |
transcript.pyannote[458].speaker |
SPEAKER_29 |
transcript.pyannote[458].start |
9433.81409375 |
transcript.pyannote[458].end |
9445.12034375 |
transcript.pyannote[459].speaker |
SPEAKER_29 |
transcript.pyannote[459].start |
9445.52534375 |
transcript.pyannote[459].end |
9450.36846875 |
transcript.pyannote[460].speaker |
SPEAKER_29 |
transcript.pyannote[460].start |
9450.60471875 |
transcript.pyannote[460].end |
9460.56096875 |
transcript.pyannote[461].speaker |
SPEAKER_31 |
transcript.pyannote[461].start |
9759.67034375 |
transcript.pyannote[461].end |
9759.78846875 |
transcript.pyannote[462].speaker |
SPEAKER_31 |
transcript.pyannote[462].start |
9759.83909375 |
transcript.pyannote[462].end |
9759.88971875 |
transcript.pyannote[463].speaker |
SPEAKER_29 |
transcript.pyannote[463].start |
9887.17784375 |
transcript.pyannote[463].end |
9893.42159375 |
transcript.pyannote[464].speaker |
SPEAKER_23 |
transcript.pyannote[464].start |
9893.99534375 |
transcript.pyannote[464].end |
9914.53221875 |
transcript.pyannote[465].speaker |
SPEAKER_23 |
transcript.pyannote[465].start |
9915.03846875 |
transcript.pyannote[465].end |
9919.45971875 |
transcript.pyannote[466].speaker |
SPEAKER_23 |
transcript.pyannote[466].start |
9919.57784375 |
transcript.pyannote[466].end |
9922.68284375 |
transcript.pyannote[467].speaker |
SPEAKER_23 |
transcript.pyannote[467].start |
9923.18909375 |
transcript.pyannote[467].end |
9931.23846875 |
transcript.pyannote[468].speaker |
SPEAKER_23 |
transcript.pyannote[468].start |
9931.35659375 |
transcript.pyannote[468].end |
9931.37346875 |
transcript.pyannote[469].speaker |
SPEAKER_23 |
transcript.pyannote[469].start |
9931.39034375 |
transcript.pyannote[469].end |
9943.08471875 |
transcript.pyannote[470].speaker |
SPEAKER_23 |
transcript.pyannote[470].start |
9943.45596875 |
transcript.pyannote[470].end |
9949.42971875 |
transcript.pyannote[471].speaker |
SPEAKER_23 |
transcript.pyannote[471].start |
9949.73346875 |
transcript.pyannote[471].end |
9955.63971875 |
transcript.pyannote[472].speaker |
SPEAKER_29 |
transcript.pyannote[472].start |
9956.17971875 |
transcript.pyannote[472].end |
9963.18284375 |
transcript.pyannote[473].speaker |
SPEAKER_29 |
transcript.pyannote[473].start |
9963.62159375 |
transcript.pyannote[473].end |
9966.86159375 |
transcript.pyannote[474].speaker |
SPEAKER_29 |
transcript.pyannote[474].start |
9967.16534375 |
transcript.pyannote[474].end |
9970.43909375 |
transcript.pyannote[475].speaker |
SPEAKER_29 |
transcript.pyannote[475].start |
9970.52346875 |
transcript.pyannote[475].end |
9979.28159375 |
transcript.pyannote[476].speaker |
SPEAKER_29 |
transcript.pyannote[476].start |
9980.12534375 |
transcript.pyannote[476].end |
9987.09471875 |
transcript.pyannote[477].speaker |
SPEAKER_29 |
transcript.pyannote[477].start |
9987.14534375 |
transcript.pyannote[477].end |
10007.85096875 |
transcript.pyannote[478].speaker |
SPEAKER_29 |
transcript.pyannote[478].start |
10205.35596875 |
transcript.pyannote[478].end |
10216.08846875 |
transcript.pyannote[479].speaker |
SPEAKER_29 |
transcript.pyannote[479].start |
10216.45971875 |
transcript.pyannote[479].end |
10219.29471875 |
transcript.pyannote[480].speaker |
SPEAKER_29 |
transcript.pyannote[480].start |
10219.59846875 |
transcript.pyannote[480].end |
10225.01534375 |
transcript.pyannote[481].speaker |
SPEAKER_29 |
transcript.pyannote[481].start |
10225.52159375 |
transcript.pyannote[481].end |
10226.28096875 |
transcript.pyannote[482].speaker |
SPEAKER_29 |
transcript.pyannote[482].start |
10226.82096875 |
transcript.pyannote[482].end |
10229.70659375 |
transcript.pyannote[483].speaker |
SPEAKER_29 |
transcript.pyannote[483].start |
11616.37596875 |
transcript.pyannote[483].end |
11623.95284375 |
transcript.pyannote[484].speaker |
SPEAKER_29 |
transcript.pyannote[484].start |
11624.13846875 |
transcript.pyannote[484].end |
11625.97784375 |
transcript.pyannote[485].speaker |
SPEAKER_28 |
transcript.pyannote[485].start |
12569.86409375 |
transcript.pyannote[485].end |
12576.46221875 |
transcript.pyannote[486].speaker |
SPEAKER_29 |
transcript.pyannote[486].start |
13291.03409375 |
transcript.pyannote[486].end |
13295.53971875 |
transcript.pyannote[487].speaker |
SPEAKER_29 |
transcript.pyannote[487].start |
13296.31596875 |
transcript.pyannote[487].end |
13297.75034375 |
transcript.pyannote[488].speaker |
SPEAKER_29 |
transcript.pyannote[488].start |
13297.96971875 |
transcript.pyannote[488].end |
13299.33659375 |
transcript.pyannote[489].speaker |
SPEAKER_29 |
transcript.pyannote[489].start |
13457.35409375 |
transcript.pyannote[489].end |
13459.66596875 |
transcript.pyannote[490].speaker |
SPEAKER_29 |
transcript.pyannote[490].start |
13460.12159375 |
transcript.pyannote[490].end |
13464.96471875 |
transcript.pyannote[491].speaker |
SPEAKER_29 |
transcript.pyannote[491].start |
13465.85909375 |
transcript.pyannote[491].end |
13467.51284375 |
transcript.pyannote[492].speaker |
SPEAKER_29 |
transcript.pyannote[492].start |
13471.34346875 |
transcript.pyannote[492].end |
13477.35096875 |
transcript.pyannote[493].speaker |
SPEAKER_29 |
transcript.pyannote[493].start |
13613.76846875 |
transcript.pyannote[493].end |
13621.14284375 |
transcript.pyannote[494].speaker |
SPEAKER_29 |
transcript.pyannote[494].start |
13621.58159375 |
transcript.pyannote[494].end |
13624.33221875 |
transcript.pyannote[495].speaker |
SPEAKER_29 |
transcript.pyannote[495].start |
13624.43346875 |
transcript.pyannote[495].end |
13626.28971875 |
transcript.pyannote[496].speaker |
SPEAKER_29 |
transcript.pyannote[496].start |
13627.20096875 |
transcript.pyannote[496].end |
13629.90096875 |
transcript.pyannote[497].speaker |
SPEAKER_29 |
transcript.pyannote[497].start |
13631.14971875 |
transcript.pyannote[497].end |
13633.07346875 |
transcript.pyannote[498].speaker |
SPEAKER_29 |
transcript.pyannote[498].start |
13633.64721875 |
transcript.pyannote[498].end |
13635.06471875 |
transcript.pyannote[499].speaker |
SPEAKER_29 |
transcript.pyannote[499].start |
13635.40221875 |
transcript.pyannote[499].end |
13638.86159375 |
transcript.pyannote[500].speaker |
SPEAKER_29 |
transcript.pyannote[500].start |
13649.72909375 |
transcript.pyannote[500].end |
13651.70346875 |
transcript.pyannote[501].speaker |
SPEAKER_29 |
transcript.pyannote[501].start |
13652.04096875 |
transcript.pyannote[501].end |
13654.06596875 |
transcript.pyannote[502].speaker |
SPEAKER_21 |
transcript.pyannote[502].start |
14032.03221875 |
transcript.pyannote[502].end |
14035.25534375 |
transcript.pyannote[503].speaker |
SPEAKER_23 |
transcript.pyannote[503].start |
14032.36971875 |
transcript.pyannote[503].end |
14032.62284375 |
transcript.pyannote[504].speaker |
SPEAKER_23 |
transcript.pyannote[504].start |
14035.25534375 |
transcript.pyannote[504].end |
14035.30596875 |
transcript.pyannote[505].speaker |
SPEAKER_23 |
transcript.pyannote[505].start |
14037.78659375 |
transcript.pyannote[505].end |
14040.89159375 |
transcript.pyannote[506].speaker |
SPEAKER_29 |
transcript.pyannote[506].start |
14064.82034375 |
transcript.pyannote[506].end |
14067.67221875 |
transcript.pyannote[507].speaker |
SPEAKER_23 |
transcript.pyannote[507].start |
14073.49409375 |
transcript.pyannote[507].end |
14074.23659375 |
transcript.pyannote[508].speaker |
SPEAKER_23 |
transcript.pyannote[508].start |
14074.75971875 |
transcript.pyannote[508].end |
14077.78034375 |
transcript.pyannote[509].speaker |
SPEAKER_00 |
transcript.pyannote[509].start |
14078.11784375 |
transcript.pyannote[509].end |
14081.76284375 |
transcript.pyannote[510].speaker |
SPEAKER_23 |
transcript.pyannote[510].start |
14082.25221875 |
transcript.pyannote[510].end |
14083.02846875 |
transcript.pyannote[511].speaker |
SPEAKER_23 |
transcript.pyannote[511].start |
14083.16346875 |
transcript.pyannote[511].end |
14086.13346875 |
transcript.pyannote[512].speaker |
SPEAKER_00 |
transcript.pyannote[512].start |
14086.28534375 |
transcript.pyannote[512].end |
14089.82909375 |
transcript.pyannote[513].speaker |
SPEAKER_23 |
transcript.pyannote[513].start |
14090.26784375 |
transcript.pyannote[513].end |
14091.04409375 |
transcript.pyannote[514].speaker |
SPEAKER_23 |
transcript.pyannote[514].start |
14091.26346875 |
transcript.pyannote[514].end |
14094.19971875 |
transcript.pyannote[515].speaker |
SPEAKER_00 |
transcript.pyannote[515].start |
14094.33471875 |
transcript.pyannote[515].end |
14097.91221875 |
transcript.pyannote[516].speaker |
SPEAKER_23 |
transcript.pyannote[516].start |
14098.18221875 |
transcript.pyannote[516].end |
14102.11409375 |
transcript.pyannote[517].speaker |
SPEAKER_00 |
transcript.pyannote[517].start |
14102.26596875 |
transcript.pyannote[517].end |
14105.84346875 |
transcript.pyannote[518].speaker |
SPEAKER_23 |
transcript.pyannote[518].start |
14106.14721875 |
transcript.pyannote[518].end |
14109.89346875 |
transcript.pyannote[519].speaker |
SPEAKER_00 |
transcript.pyannote[519].start |
14110.01159375 |
transcript.pyannote[519].end |
14113.58909375 |
transcript.pyannote[520].speaker |
SPEAKER_23 |
transcript.pyannote[520].start |
14113.97721875 |
transcript.pyannote[520].end |
14117.92596875 |
transcript.pyannote[521].speaker |
SPEAKER_00 |
transcript.pyannote[521].start |
14118.02721875 |
transcript.pyannote[521].end |
14121.52034375 |
transcript.pyannote[522].speaker |
SPEAKER_23 |
transcript.pyannote[522].start |
14121.95909375 |
transcript.pyannote[522].end |
14122.73534375 |
transcript.pyannote[523].speaker |
SPEAKER_23 |
transcript.pyannote[523].start |
14122.98846875 |
transcript.pyannote[523].end |
14125.92471875 |
transcript.pyannote[524].speaker |
SPEAKER_23 |
transcript.pyannote[524].start |
14125.94159375 |
transcript.pyannote[524].end |
14125.97534375 |
transcript.pyannote[525].speaker |
SPEAKER_00 |
transcript.pyannote[525].start |
14125.97534375 |
transcript.pyannote[525].end |
14129.48534375 |
transcript.pyannote[526].speaker |
SPEAKER_23 |
transcript.pyannote[526].start |
14125.99221875 |
transcript.pyannote[526].end |
14126.00909375 |
transcript.pyannote[527].speaker |
SPEAKER_23 |
transcript.pyannote[527].start |
14126.19471875 |
transcript.pyannote[527].end |
14126.41409375 |
transcript.pyannote[528].speaker |
SPEAKER_23 |
transcript.pyannote[528].start |
14129.82284375 |
transcript.pyannote[528].end |
14130.59909375 |
transcript.pyannote[529].speaker |
SPEAKER_23 |
transcript.pyannote[529].start |
14130.71721875 |
transcript.pyannote[529].end |
14133.83909375 |
transcript.pyannote[530].speaker |
SPEAKER_00 |
transcript.pyannote[530].start |
14134.04159375 |
transcript.pyannote[530].end |
14137.72034375 |
transcript.pyannote[531].speaker |
SPEAKER_23 |
transcript.pyannote[531].start |
14138.19284375 |
transcript.pyannote[531].end |
14141.95596875 |
transcript.pyannote[532].speaker |
SPEAKER_00 |
transcript.pyannote[532].start |
14142.17534375 |
transcript.pyannote[532].end |
14145.82034375 |
transcript.pyannote[533].speaker |
SPEAKER_23 |
transcript.pyannote[533].start |
14146.14096875 |
transcript.pyannote[533].end |
14149.97159375 |
transcript.pyannote[534].speaker |
SPEAKER_00 |
transcript.pyannote[534].start |
14150.07284375 |
transcript.pyannote[534].end |
14153.65034375 |
transcript.pyannote[535].speaker |
SPEAKER_23 |
transcript.pyannote[535].start |
14153.93721875 |
transcript.pyannote[535].end |
14157.78471875 |
transcript.pyannote[536].speaker |
SPEAKER_00 |
transcript.pyannote[536].start |
14157.97034375 |
transcript.pyannote[536].end |
14161.59846875 |
transcript.pyannote[537].speaker |
SPEAKER_23 |
transcript.pyannote[537].start |
14161.93596875 |
transcript.pyannote[537].end |
14165.76659375 |
transcript.pyannote[538].speaker |
SPEAKER_00 |
transcript.pyannote[538].start |
14165.91846875 |
transcript.pyannote[538].end |
14169.58034375 |
transcript.pyannote[539].speaker |
SPEAKER_23 |
transcript.pyannote[539].start |
14169.90096875 |
transcript.pyannote[539].end |
14173.73159375 |
transcript.pyannote[540].speaker |
SPEAKER_00 |
transcript.pyannote[540].start |
14173.86659375 |
transcript.pyannote[540].end |
14177.35971875 |
transcript.pyannote[541].speaker |
SPEAKER_23 |
transcript.pyannote[541].start |
14177.83221875 |
transcript.pyannote[541].end |
14178.62534375 |
transcript.pyannote[542].speaker |
SPEAKER_23 |
transcript.pyannote[542].start |
14178.94596875 |
transcript.pyannote[542].end |
14181.96659375 |
transcript.pyannote[543].speaker |
SPEAKER_00 |
transcript.pyannote[543].start |
14182.16909375 |
transcript.pyannote[543].end |
14185.59471875 |
transcript.pyannote[544].speaker |
SPEAKER_23 |
transcript.pyannote[544].start |
14185.98284375 |
transcript.pyannote[544].end |
14189.83034375 |
transcript.pyannote[545].speaker |
SPEAKER_00 |
transcript.pyannote[545].start |
14189.98221875 |
transcript.pyannote[545].end |
14193.47534375 |
transcript.pyannote[546].speaker |
SPEAKER_23 |
transcript.pyannote[546].start |
14193.91409375 |
transcript.pyannote[546].end |
14197.82909375 |
transcript.pyannote[547].speaker |
SPEAKER_00 |
transcript.pyannote[547].start |
14198.04846875 |
transcript.pyannote[547].end |
14201.62596875 |
transcript.pyannote[548].speaker |
SPEAKER_23 |
transcript.pyannote[548].start |
14202.01409375 |
transcript.pyannote[548].end |
14205.76034375 |
transcript.pyannote[549].speaker |
SPEAKER_00 |
transcript.pyannote[549].start |
14205.96284375 |
transcript.pyannote[549].end |
14209.48971875 |
transcript.pyannote[550].speaker |
SPEAKER_23 |
transcript.pyannote[550].start |
14209.84409375 |
transcript.pyannote[550].end |
14213.62409375 |
transcript.pyannote[551].speaker |
SPEAKER_00 |
transcript.pyannote[551].start |
14213.79284375 |
transcript.pyannote[551].end |
14217.57284375 |
transcript.pyannote[552].speaker |
SPEAKER_23 |
transcript.pyannote[552].start |
14217.82596875 |
transcript.pyannote[552].end |
14221.92659375 |
transcript.pyannote[553].speaker |
SPEAKER_00 |
transcript.pyannote[553].start |
14222.02784375 |
transcript.pyannote[553].end |
14225.62221875 |
transcript.pyannote[554].speaker |
SPEAKER_23 |
transcript.pyannote[554].start |
14226.02721875 |
transcript.pyannote[554].end |
14230.16159375 |
transcript.pyannote[555].speaker |
SPEAKER_00 |
transcript.pyannote[555].start |
14230.27971875 |
transcript.pyannote[555].end |
14233.84034375 |
transcript.pyannote[556].speaker |
SPEAKER_23 |
transcript.pyannote[556].start |
14234.21159375 |
transcript.pyannote[556].end |
14238.21096875 |
transcript.pyannote[557].speaker |
SPEAKER_00 |
transcript.pyannote[557].start |
14238.37971875 |
transcript.pyannote[557].end |
14242.04159375 |
transcript.pyannote[558].speaker |
SPEAKER_23 |
transcript.pyannote[558].start |
14242.34534375 |
transcript.pyannote[558].end |
14246.34471875 |
transcript.pyannote[559].speaker |
SPEAKER_00 |
transcript.pyannote[559].start |
14246.47971875 |
transcript.pyannote[559].end |
14250.12471875 |
transcript.pyannote[560].speaker |
SPEAKER_23 |
transcript.pyannote[560].start |
14250.46221875 |
transcript.pyannote[560].end |
14251.28909375 |
transcript.pyannote[561].speaker |
SPEAKER_23 |
transcript.pyannote[561].start |
14251.45784375 |
transcript.pyannote[561].end |
14254.52909375 |
transcript.pyannote[562].speaker |
SPEAKER_00 |
transcript.pyannote[562].start |
14254.59659375 |
transcript.pyannote[562].end |
14258.29221875 |
transcript.pyannote[563].speaker |
SPEAKER_23 |
transcript.pyannote[563].start |
14258.64659375 |
transcript.pyannote[563].end |
14262.66284375 |
transcript.pyannote[564].speaker |
SPEAKER_00 |
transcript.pyannote[564].start |
14262.83159375 |
transcript.pyannote[564].end |
14266.49346875 |
transcript.pyannote[565].speaker |
SPEAKER_23 |
transcript.pyannote[565].start |
14266.81409375 |
transcript.pyannote[565].end |
14267.60721875 |
transcript.pyannote[566].speaker |
SPEAKER_23 |
transcript.pyannote[566].start |
14267.89409375 |
transcript.pyannote[566].end |
14270.89784375 |
transcript.pyannote[567].speaker |
SPEAKER_00 |
transcript.pyannote[567].start |
14271.21846875 |
transcript.pyannote[567].end |
14274.62721875 |
transcript.pyannote[568].speaker |
SPEAKER_23 |
transcript.pyannote[568].start |
14275.04909375 |
transcript.pyannote[568].end |
14275.94346875 |
transcript.pyannote[569].speaker |
SPEAKER_23 |
transcript.pyannote[569].start |
14276.01096875 |
transcript.pyannote[569].end |
14279.25096875 |
transcript.pyannote[570].speaker |
SPEAKER_00 |
transcript.pyannote[570].start |
14279.38596875 |
transcript.pyannote[570].end |
14283.16596875 |
transcript.pyannote[571].speaker |
SPEAKER_23 |
transcript.pyannote[571].start |
14283.55409375 |
transcript.pyannote[571].end |
14287.60409375 |
transcript.pyannote[572].speaker |
SPEAKER_00 |
transcript.pyannote[572].start |
14287.82346875 |
transcript.pyannote[572].end |
14291.40096875 |
transcript.pyannote[573].speaker |
SPEAKER_23 |
transcript.pyannote[573].start |
14291.77221875 |
transcript.pyannote[573].end |
14295.63659375 |
transcript.pyannote[574].speaker |
SPEAKER_00 |
transcript.pyannote[574].start |
14295.75471875 |
transcript.pyannote[574].end |
14299.39971875 |
transcript.pyannote[575].speaker |
SPEAKER_23 |
transcript.pyannote[575].start |
14299.63596875 |
transcript.pyannote[575].end |
14303.56784375 |
transcript.pyannote[576].speaker |
SPEAKER_00 |
transcript.pyannote[576].start |
14303.77034375 |
transcript.pyannote[576].end |
14307.48284375 |
transcript.pyannote[577].speaker |
SPEAKER_23 |
transcript.pyannote[577].start |
14307.87096875 |
transcript.pyannote[577].end |
14311.81971875 |
transcript.pyannote[578].speaker |
SPEAKER_00 |
transcript.pyannote[578].start |
14311.97159375 |
transcript.pyannote[578].end |
14315.70096875 |
transcript.pyannote[579].speaker |
SPEAKER_23 |
transcript.pyannote[579].start |
14316.17346875 |
transcript.pyannote[579].end |
14324.25659375 |
transcript.pyannote[580].speaker |
SPEAKER_23 |
transcript.pyannote[580].start |
14324.56034375 |
transcript.pyannote[580].end |
14344.50659375 |
transcript.pyannote[581].speaker |
SPEAKER_23 |
transcript.pyannote[581].start |
14344.64159375 |
transcript.pyannote[581].end |
14352.57284375 |
transcript.pyannote[582].speaker |
SPEAKER_23 |
transcript.pyannote[582].start |
14352.69096875 |
transcript.pyannote[582].end |
14356.53846875 |
transcript.pyannote[583].speaker |
SPEAKER_23 |
transcript.pyannote[583].start |
14356.79159375 |
transcript.pyannote[583].end |
14360.62221875 |
transcript.pyannote[584].speaker |
SPEAKER_23 |
transcript.pyannote[584].start |
14360.79096875 |
transcript.pyannote[584].end |
14364.43596875 |
transcript.pyannote[585].speaker |
SPEAKER_23 |
transcript.pyannote[585].start |
14364.68909375 |
transcript.pyannote[585].end |
14368.43534375 |
transcript.pyannote[586].speaker |
SPEAKER_23 |
transcript.pyannote[586].start |
14368.70534375 |
transcript.pyannote[586].end |
14372.50221875 |
transcript.pyannote[587].speaker |
SPEAKER_23 |
transcript.pyannote[587].start |
14372.72159375 |
transcript.pyannote[587].end |
14376.67034375 |
transcript.pyannote[588].speaker |
SPEAKER_23 |
transcript.pyannote[588].start |
14376.88971875 |
transcript.pyannote[588].end |
14380.82159375 |
transcript.pyannote[589].speaker |
SPEAKER_23 |
transcript.pyannote[589].start |
14381.00721875 |
transcript.pyannote[589].end |
14384.90534375 |
transcript.pyannote[590].speaker |
SPEAKER_23 |
transcript.pyannote[590].start |
14385.12471875 |
transcript.pyannote[590].end |
14388.85409375 |
transcript.pyannote[591].speaker |
SPEAKER_23 |
transcript.pyannote[591].start |
14389.19159375 |
transcript.pyannote[591].end |
14389.88346875 |
transcript.pyannote[592].speaker |
SPEAKER_23 |
transcript.pyannote[592].start |
14390.15346875 |
transcript.pyannote[592].end |
14404.76721875 |
transcript.pyannote[593].speaker |
SPEAKER_23 |
transcript.pyannote[593].start |
14405.02034375 |
transcript.pyannote[593].end |
14405.81346875 |
transcript.pyannote[594].speaker |
SPEAKER_23 |
transcript.pyannote[594].start |
14405.96534375 |
transcript.pyannote[594].end |
14408.86784375 |
transcript.pyannote[595].speaker |
SPEAKER_23 |
transcript.pyannote[595].start |
14409.30659375 |
transcript.pyannote[595].end |
14413.00221875 |
transcript.pyannote[596].speaker |
SPEAKER_23 |
transcript.pyannote[596].start |
14413.23846875 |
transcript.pyannote[596].end |
14413.87971875 |
transcript.pyannote[597].speaker |
SPEAKER_23 |
transcript.pyannote[597].start |
14414.09909375 |
transcript.pyannote[597].end |
14428.81409375 |
transcript.pyannote[598].speaker |
SPEAKER_23 |
transcript.pyannote[598].start |
14429.01659375 |
transcript.pyannote[598].end |
14436.89721875 |
transcript.pyannote[599].speaker |
SPEAKER_23 |
transcript.pyannote[599].start |
14437.23471875 |
transcript.pyannote[599].end |
14438.16284375 |
transcript.pyannote[600].speaker |
SPEAKER_23 |
transcript.pyannote[600].start |
14438.26409375 |
transcript.pyannote[600].end |
14449.68846875 |
transcript.pyannote[601].speaker |
SPEAKER_23 |
transcript.pyannote[601].start |
14449.77284375 |
transcript.pyannote[601].end |
14453.51909375 |
transcript.pyannote[602].speaker |
SPEAKER_23 |
transcript.pyannote[602].start |
14453.97471875 |
transcript.pyannote[602].end |
14469.82034375 |
transcript.pyannote[603].speaker |
SPEAKER_23 |
transcript.pyannote[603].start |
14470.12409375 |
transcript.pyannote[603].end |
14474.25846875 |
transcript.pyannote[604].speaker |
SPEAKER_23 |
transcript.pyannote[604].start |
14474.46096875 |
transcript.pyannote[604].end |
14494.74471875 |
transcript.pyannote[605].speaker |
SPEAKER_23 |
transcript.pyannote[605].start |
14494.91346875 |
transcript.pyannote[605].end |
14499.84096875 |
transcript.pyannote[606].speaker |
SPEAKER_23 |
transcript.pyannote[606].start |
14499.92534375 |
transcript.pyannote[606].end |
14502.97971875 |
transcript.pyannote[607].speaker |
SPEAKER_23 |
transcript.pyannote[607].start |
14503.13159375 |
transcript.pyannote[607].end |
14515.38284375 |
transcript.pyannote[608].speaker |
SPEAKER_23 |
transcript.pyannote[608].start |
14515.60221875 |
transcript.pyannote[608].end |
14519.46659375 |
transcript.pyannote[609].speaker |
SPEAKER_23 |
transcript.pyannote[609].start |
14519.78721875 |
transcript.pyannote[609].end |
14520.64784375 |
transcript.pyannote[610].speaker |
SPEAKER_23 |
transcript.pyannote[610].start |
14520.71534375 |
transcript.pyannote[610].end |
14523.82034375 |
transcript.pyannote[611].speaker |
SPEAKER_23 |
transcript.pyannote[611].start |
14523.98909375 |
transcript.pyannote[611].end |
14531.95409375 |
transcript.pyannote[612].speaker |
SPEAKER_23 |
transcript.pyannote[612].start |
14532.20721875 |
transcript.pyannote[612].end |
14535.91971875 |
transcript.pyannote[613].speaker |
SPEAKER_23 |
transcript.pyannote[613].start |
14536.12221875 |
transcript.pyannote[613].end |
14551.79909375 |
transcript.pyannote[614].speaker |
SPEAKER_23 |
transcript.pyannote[614].start |
14552.23784375 |
transcript.pyannote[614].end |
14555.98409375 |
transcript.pyannote[615].speaker |
SPEAKER_00 |
transcript.pyannote[615].start |
14556.10221875 |
transcript.pyannote[615].end |
14559.51096875 |
transcript.pyannote[616].speaker |
SPEAKER_23 |
transcript.pyannote[616].start |
14559.78096875 |
transcript.pyannote[616].end |
14563.62846875 |
transcript.pyannote[617].speaker |
SPEAKER_00 |
transcript.pyannote[617].start |
14563.69596875 |
transcript.pyannote[617].end |
14567.29034375 |
transcript.pyannote[618].speaker |
SPEAKER_23 |
transcript.pyannote[618].start |
14567.64471875 |
transcript.pyannote[618].end |
14571.62721875 |
transcript.pyannote[619].speaker |
SPEAKER_00 |
transcript.pyannote[619].start |
14571.71159375 |
transcript.pyannote[619].end |
14575.20471875 |
transcript.pyannote[620].speaker |
SPEAKER_23 |
transcript.pyannote[620].start |
14575.45784375 |
transcript.pyannote[620].end |
14579.44034375 |
transcript.pyannote[621].speaker |
SPEAKER_00 |
transcript.pyannote[621].start |
14579.47409375 |
transcript.pyannote[621].end |
14582.95034375 |
transcript.pyannote[622].speaker |
SPEAKER_23 |
transcript.pyannote[622].start |
14583.22034375 |
transcript.pyannote[622].end |
14587.13534375 |
transcript.pyannote[623].speaker |
SPEAKER_00 |
transcript.pyannote[623].start |
14587.18596875 |
transcript.pyannote[623].end |
14590.57784375 |
transcript.pyannote[624].speaker |
SPEAKER_23 |
transcript.pyannote[624].start |
14590.79721875 |
transcript.pyannote[624].end |
14594.59409375 |
transcript.pyannote[625].speaker |
SPEAKER_00 |
transcript.pyannote[625].start |
14594.71221875 |
transcript.pyannote[625].end |
14598.07034375 |
transcript.pyannote[626].speaker |
SPEAKER_23 |
transcript.pyannote[626].start |
14598.27284375 |
transcript.pyannote[626].end |
14602.18784375 |
transcript.pyannote[627].speaker |
SPEAKER_00 |
transcript.pyannote[627].start |
14602.18784375 |
transcript.pyannote[627].end |
14605.56284375 |
transcript.pyannote[628].speaker |
SPEAKER_23 |
transcript.pyannote[628].start |
14606.08596875 |
transcript.pyannote[628].end |
14609.98409375 |
transcript.pyannote[629].speaker |
SPEAKER_00 |
transcript.pyannote[629].start |
14610.05159375 |
transcript.pyannote[629].end |
14613.57846875 |
transcript.pyannote[630].speaker |
SPEAKER_23 |
transcript.pyannote[630].start |
14613.83159375 |
transcript.pyannote[630].end |
14617.57784375 |
transcript.pyannote[631].speaker |
SPEAKER_00 |
transcript.pyannote[631].start |
14617.64534375 |
transcript.pyannote[631].end |
14621.02034375 |
transcript.pyannote[632].speaker |
SPEAKER_23 |
transcript.pyannote[632].start |
14621.30721875 |
transcript.pyannote[632].end |
14625.34034375 |
transcript.pyannote[633].speaker |
SPEAKER_00 |
transcript.pyannote[633].start |
14625.42471875 |
transcript.pyannote[633].end |
14628.95159375 |
transcript.pyannote[634].speaker |
SPEAKER_23 |
transcript.pyannote[634].start |
14629.22159375 |
transcript.pyannote[634].end |
14633.15346875 |
transcript.pyannote[635].speaker |
SPEAKER_00 |
transcript.pyannote[635].start |
14633.35596875 |
transcript.pyannote[635].end |
14636.78159375 |
transcript.pyannote[636].speaker |
SPEAKER_23 |
transcript.pyannote[636].start |
14637.10221875 |
transcript.pyannote[636].end |
14641.33784375 |
transcript.pyannote[637].speaker |
SPEAKER_00 |
transcript.pyannote[637].start |
14641.43909375 |
transcript.pyannote[637].end |
14644.99971875 |
transcript.pyannote[638].speaker |
SPEAKER_23 |
transcript.pyannote[638].start |
14645.25284375 |
transcript.pyannote[638].end |
14649.21846875 |
transcript.pyannote[639].speaker |
SPEAKER_00 |
transcript.pyannote[639].start |
14649.30284375 |
transcript.pyannote[639].end |
14652.67784375 |
transcript.pyannote[640].speaker |
SPEAKER_23 |
transcript.pyannote[640].start |
14652.89721875 |
transcript.pyannote[640].end |
14656.81221875 |
transcript.pyannote[641].speaker |
SPEAKER_00 |
transcript.pyannote[641].start |
14656.82909375 |
transcript.pyannote[641].end |
14660.13659375 |
transcript.pyannote[642].speaker |
SPEAKER_23 |
transcript.pyannote[642].start |
14660.49096875 |
transcript.pyannote[642].end |
14661.23346875 |
transcript.pyannote[643].speaker |
SPEAKER_23 |
transcript.pyannote[643].start |
14661.55409375 |
transcript.pyannote[643].end |
14664.50721875 |
transcript.pyannote[644].speaker |
SPEAKER_00 |
transcript.pyannote[644].start |
14664.65909375 |
transcript.pyannote[644].end |
14668.16909375 |
transcript.pyannote[645].speaker |
SPEAKER_23 |
transcript.pyannote[645].start |
14668.40534375 |
transcript.pyannote[645].end |
14672.32034375 |
transcript.pyannote[646].speaker |
SPEAKER_00 |
transcript.pyannote[646].start |
14672.50596875 |
transcript.pyannote[646].end |
14676.04971875 |
transcript.pyannote[647].speaker |
SPEAKER_23 |
transcript.pyannote[647].start |
14676.35346875 |
transcript.pyannote[647].end |
14680.08284375 |
transcript.pyannote[648].speaker |
SPEAKER_00 |
transcript.pyannote[648].start |
14680.15034375 |
transcript.pyannote[648].end |
14683.57596875 |
transcript.pyannote[649].speaker |
SPEAKER_23 |
transcript.pyannote[649].start |
14683.89659375 |
transcript.pyannote[649].end |
14687.84534375 |
transcript.pyannote[650].speaker |
SPEAKER_23 |
transcript.pyannote[650].start |
14687.87909375 |
transcript.pyannote[650].end |
14687.89596875 |
transcript.pyannote[651].speaker |
SPEAKER_00 |
transcript.pyannote[651].start |
14687.89596875 |
transcript.pyannote[651].end |
14691.20346875 |
transcript.pyannote[652].speaker |
SPEAKER_23 |
transcript.pyannote[652].start |
14691.59159375 |
transcript.pyannote[652].end |
14692.40159375 |
transcript.pyannote[653].speaker |
SPEAKER_23 |
transcript.pyannote[653].start |
14692.41846875 |
transcript.pyannote[653].end |
14695.62471875 |
transcript.pyannote[654].speaker |
SPEAKER_00 |
transcript.pyannote[654].start |
14695.67534375 |
transcript.pyannote[654].end |
14699.37096875 |
transcript.pyannote[655].speaker |
SPEAKER_23 |
transcript.pyannote[655].start |
14699.64096875 |
transcript.pyannote[655].end |
14703.60659375 |
transcript.pyannote[656].speaker |
SPEAKER_00 |
transcript.pyannote[656].start |
14703.62346875 |
transcript.pyannote[656].end |
14707.03221875 |
transcript.pyannote[657].speaker |
SPEAKER_23 |
transcript.pyannote[657].start |
14707.35284375 |
transcript.pyannote[657].end |
14708.14596875 |
transcript.pyannote[658].speaker |
SPEAKER_23 |
transcript.pyannote[658].start |
14708.33159375 |
transcript.pyannote[658].end |
14711.30159375 |
transcript.pyannote[659].speaker |
SPEAKER_00 |
transcript.pyannote[659].start |
14711.30159375 |
transcript.pyannote[659].end |
14714.76096875 |
transcript.pyannote[660].speaker |
SPEAKER_23 |
transcript.pyannote[660].start |
14715.06471875 |
transcript.pyannote[660].end |
14719.11471875 |
transcript.pyannote[661].speaker |
SPEAKER_00 |
transcript.pyannote[661].start |
14719.23284375 |
transcript.pyannote[661].end |
14722.74284375 |
transcript.pyannote[662].speaker |
SPEAKER_23 |
transcript.pyannote[662].start |
14723.11409375 |
transcript.pyannote[662].end |
14727.02909375 |
transcript.pyannote[663].speaker |
SPEAKER_00 |
transcript.pyannote[663].start |
14727.18096875 |
transcript.pyannote[663].end |
14730.70784375 |
transcript.pyannote[664].speaker |
SPEAKER_23 |
transcript.pyannote[664].start |
14730.94409375 |
transcript.pyannote[664].end |
14734.90971875 |
transcript.pyannote[665].speaker |
SPEAKER_00 |
transcript.pyannote[665].start |
14734.92659375 |
transcript.pyannote[665].end |
14734.94346875 |
transcript.pyannote[666].speaker |
SPEAKER_00 |
transcript.pyannote[666].start |
14734.96034375 |
transcript.pyannote[666].end |
14738.31846875 |
transcript.pyannote[667].speaker |
SPEAKER_23 |
transcript.pyannote[667].start |
14738.67284375 |
transcript.pyannote[667].end |
14742.41909375 |
transcript.pyannote[668].speaker |
SPEAKER_00 |
transcript.pyannote[668].start |
14742.60471875 |
transcript.pyannote[668].end |
14746.03034375 |
transcript.pyannote[669].speaker |
SPEAKER_23 |
transcript.pyannote[669].start |
14746.31721875 |
transcript.pyannote[669].end |
14750.24909375 |
transcript.pyannote[670].speaker |
SPEAKER_00 |
transcript.pyannote[670].start |
14750.36721875 |
transcript.pyannote[670].end |
14754.06284375 |
transcript.pyannote[671].speaker |
SPEAKER_23 |
transcript.pyannote[671].start |
14754.40034375 |
transcript.pyannote[671].end |
14758.19721875 |
transcript.pyannote[672].speaker |
SPEAKER_00 |
transcript.pyannote[672].start |
14758.36596875 |
transcript.pyannote[672].end |
14761.87596875 |
transcript.pyannote[673].speaker |
SPEAKER_23 |
transcript.pyannote[673].start |
14762.14596875 |
transcript.pyannote[673].end |
14766.09471875 |
transcript.pyannote[674].speaker |
SPEAKER_00 |
transcript.pyannote[674].start |
14766.22971875 |
transcript.pyannote[674].end |
14769.77346875 |
transcript.pyannote[675].speaker |
SPEAKER_23 |
transcript.pyannote[675].start |
14770.12784375 |
transcript.pyannote[675].end |
14771.00534375 |
transcript.pyannote[676].speaker |
SPEAKER_23 |
transcript.pyannote[676].start |
14771.08971875 |
transcript.pyannote[676].end |
14774.09346875 |
transcript.pyannote[677].speaker |
SPEAKER_00 |
transcript.pyannote[677].start |
14774.29596875 |
transcript.pyannote[677].end |
14777.97471875 |
transcript.pyannote[678].speaker |
SPEAKER_23 |
transcript.pyannote[678].start |
14778.32909375 |
transcript.pyannote[678].end |
14782.34534375 |
transcript.pyannote[679].speaker |
SPEAKER_00 |
transcript.pyannote[679].start |
14782.49721875 |
transcript.pyannote[679].end |
14786.24346875 |
transcript.pyannote[680].speaker |
SPEAKER_23 |
transcript.pyannote[680].start |
14786.69909375 |
transcript.pyannote[680].end |
14790.64784375 |
transcript.pyannote[681].speaker |
SPEAKER_23 |
transcript.pyannote[681].start |
14790.86721875 |
transcript.pyannote[681].end |
14794.68096875 |
transcript.pyannote[682].speaker |
SPEAKER_23 |
transcript.pyannote[682].start |
14794.91721875 |
transcript.pyannote[682].end |
14798.81534375 |
transcript.pyannote[683].speaker |
SPEAKER_23 |
transcript.pyannote[683].start |
14798.96721875 |
transcript.pyannote[683].end |
14802.71346875 |
transcript.pyannote[684].speaker |
SPEAKER_23 |
transcript.pyannote[684].start |
14802.96659375 |
transcript.pyannote[684].end |
14811.89346875 |
transcript.pyannote[685].speaker |
SPEAKER_23 |
transcript.pyannote[685].start |
14811.96096875 |
transcript.pyannote[685].end |
14814.84659375 |
transcript.pyannote[686].speaker |
SPEAKER_23 |
transcript.pyannote[686].start |
14815.08284375 |
transcript.pyannote[686].end |
14818.81221875 |
transcript.pyannote[687].speaker |
SPEAKER_23 |
transcript.pyannote[687].start |
14819.01471875 |
transcript.pyannote[687].end |
14834.57346875 |
transcript.pyannote[688].speaker |
SPEAKER_23 |
transcript.pyannote[688].start |
14834.75909375 |
transcript.pyannote[688].end |
14842.60596875 |
transcript.pyannote[689].speaker |
SPEAKER_23 |
transcript.pyannote[689].start |
14842.72409375 |
transcript.pyannote[689].end |
14850.52034375 |
transcript.pyannote[690].speaker |
SPEAKER_23 |
transcript.pyannote[690].start |
14850.58784375 |
transcript.pyannote[690].end |
14858.19846875 |
transcript.pyannote[691].speaker |
SPEAKER_23 |
transcript.pyannote[691].start |
14858.51909375 |
transcript.pyannote[691].end |
14866.14659375 |
transcript.pyannote[692].speaker |
SPEAKER_23 |
transcript.pyannote[692].start |
14866.50096875 |
transcript.pyannote[692].end |
14874.26346875 |
transcript.pyannote[693].speaker |
SPEAKER_23 |
transcript.pyannote[693].start |
14874.60096875 |
transcript.pyannote[693].end |
14878.58346875 |
transcript.pyannote[694].speaker |
SPEAKER_23 |
transcript.pyannote[694].start |
14878.71846875 |
transcript.pyannote[694].end |
14915.43846875 |
transcript.pyannote[695].speaker |
SPEAKER_23 |
transcript.pyannote[695].start |
14915.67471875 |
transcript.pyannote[695].end |
14923.57221875 |
transcript.pyannote[696].speaker |
SPEAKER_23 |
transcript.pyannote[696].start |
14923.79159375 |
transcript.pyannote[696].end |
14939.75534375 |
transcript.pyannote[697].speaker |
SPEAKER_23 |
transcript.pyannote[697].start |
14939.90721875 |
transcript.pyannote[697].end |
14940.78471875 |
transcript.pyannote[698].speaker |
SPEAKER_23 |
transcript.pyannote[698].start |
14940.97034375 |
transcript.pyannote[698].end |
14956.37721875 |
transcript.pyannote[699].speaker |
SPEAKER_23 |
transcript.pyannote[699].start |
14956.41096875 |
transcript.pyannote[699].end |
14973.03284375 |
transcript.pyannote[700].speaker |
SPEAKER_29 |
transcript.pyannote[700].start |
15123.62534375 |
transcript.pyannote[700].end |
15126.84846875 |
transcript.pyannote[701].speaker |
SPEAKER_29 |
transcript.pyannote[701].start |
15127.25346875 |
transcript.pyannote[701].end |
15131.20221875 |
transcript.pyannote[702].speaker |
SPEAKER_29 |
transcript.pyannote[702].start |
15131.60721875 |
transcript.pyannote[702].end |
15133.29471875 |
transcript.pyannote[703].speaker |
SPEAKER_29 |
transcript.pyannote[703].start |
15133.73346875 |
transcript.pyannote[703].end |
15140.55096875 |
transcript.pyannote[704].speaker |
SPEAKER_29 |
transcript.pyannote[704].start |
15141.46221875 |
transcript.pyannote[704].end |
15144.71909375 |
transcript.pyannote[705].speaker |
SPEAKER_29 |
transcript.pyannote[705].start |
15145.32659375 |
transcript.pyannote[705].end |
15147.14909375 |
transcript.pyannote[706].speaker |
SPEAKER_29 |
transcript.pyannote[706].start |
15147.75659375 |
transcript.pyannote[706].end |
15148.51596875 |
transcript.pyannote[707].speaker |
SPEAKER_29 |
transcript.pyannote[707].start |
15149.12346875 |
transcript.pyannote[707].end |
15149.95034375 |
transcript.pyannote[708].speaker |
SPEAKER_29 |
transcript.pyannote[708].start |
15150.42284375 |
transcript.pyannote[708].end |
15151.03034375 |
transcript.pyannote[709].speaker |
SPEAKER_29 |
transcript.pyannote[709].start |
15151.85721875 |
transcript.pyannote[709].end |
15153.37596875 |
transcript.pyannote[710].speaker |
SPEAKER_29 |
transcript.pyannote[710].start |
15153.84846875 |
transcript.pyannote[710].end |
15158.77596875 |
transcript.pyannote[711].speaker |
SPEAKER_29 |
transcript.pyannote[711].start |
15159.29909375 |
transcript.pyannote[711].end |
15163.75409375 |
transcript.pyannote[712].speaker |
SPEAKER_29 |
transcript.pyannote[712].start |
15164.41221875 |
transcript.pyannote[712].end |
15173.03534375 |
transcript.pyannote[713].speaker |
SPEAKER_29 |
transcript.pyannote[713].start |
15173.28846875 |
transcript.pyannote[713].end |
15175.39784375 |
transcript.pyannote[714].speaker |
SPEAKER_29 |
transcript.pyannote[714].start |
15175.81971875 |
transcript.pyannote[714].end |
15180.61221875 |
transcript.pyannote[715].speaker |
SPEAKER_29 |
transcript.pyannote[715].start |
15181.20284375 |
transcript.pyannote[715].end |
15184.56096875 |
transcript.pyannote[716].speaker |
SPEAKER_29 |
transcript.pyannote[716].start |
15184.83096875 |
transcript.pyannote[716].end |
15188.74596875 |
transcript.pyannote[717].speaker |
SPEAKER_29 |
transcript.pyannote[717].start |
15189.26909375 |
transcript.pyannote[717].end |
15198.44909375 |
transcript.pyannote[718].speaker |
SPEAKER_29 |
transcript.pyannote[718].start |
21580.50659375 |
transcript.pyannote[718].end |
21582.46409375 |
transcript.pyannote[719].speaker |
SPEAKER_29 |
transcript.pyannote[719].start |
21582.68346875 |
transcript.pyannote[719].end |
21595.64346875 |
transcript.pyannote[720].speaker |
SPEAKER_29 |
transcript.pyannote[720].start |
21595.81221875 |
transcript.pyannote[720].end |
21598.22534375 |
transcript.pyannote[721].speaker |
SPEAKER_05 |
transcript.pyannote[721].start |
21614.71221875 |
transcript.pyannote[721].end |
21616.24784375 |
transcript.pyannote[722].speaker |
SPEAKER_05 |
transcript.pyannote[722].start |
21617.24346875 |
transcript.pyannote[722].end |
21618.74534375 |
transcript.pyannote[723].speaker |
SPEAKER_05 |
transcript.pyannote[723].start |
21620.04471875 |
transcript.pyannote[723].end |
21621.29346875 |
transcript.pyannote[724].speaker |
SPEAKER_05 |
transcript.pyannote[724].start |
21621.88409375 |
transcript.pyannote[724].end |
21622.96409375 |
transcript.pyannote[725].speaker |
SPEAKER_05 |
transcript.pyannote[725].start |
21623.36909375 |
transcript.pyannote[725].end |
21625.02284375 |
transcript.pyannote[726].speaker |
SPEAKER_05 |
transcript.pyannote[726].start |
21625.49534375 |
transcript.pyannote[726].end |
21626.60909375 |
transcript.pyannote[727].speaker |
SPEAKER_05 |
transcript.pyannote[727].start |
21627.21659375 |
transcript.pyannote[727].end |
21627.79034375 |
transcript.pyannote[728].speaker |
SPEAKER_05 |
transcript.pyannote[728].start |
21628.04346875 |
transcript.pyannote[728].end |
21629.03909375 |
transcript.pyannote[729].speaker |
SPEAKER_05 |
transcript.pyannote[729].start |
21629.96721875 |
transcript.pyannote[729].end |
21630.62534375 |
transcript.pyannote[730].speaker |
SPEAKER_05 |
transcript.pyannote[730].start |
21631.73909375 |
transcript.pyannote[730].end |
21633.29159375 |
transcript.pyannote[731].speaker |
SPEAKER_05 |
transcript.pyannote[731].start |
21633.89909375 |
transcript.pyannote[731].end |
21634.52346875 |
transcript.pyannote[732].speaker |
SPEAKER_05 |
transcript.pyannote[732].start |
21634.54034375 |
transcript.pyannote[732].end |
21635.83971875 |
transcript.pyannote[733].speaker |
SPEAKER_05 |
transcript.pyannote[733].start |
21636.05909375 |
transcript.pyannote[733].end |
21639.53534375 |
transcript.pyannote[734].speaker |
SPEAKER_05 |
transcript.pyannote[734].start |
21639.65346875 |
transcript.pyannote[734].end |
21640.48034375 |
transcript.pyannote[735].speaker |
SPEAKER_05 |
transcript.pyannote[735].start |
21641.91471875 |
transcript.pyannote[735].end |
21643.68659375 |
transcript.pyannote[736].speaker |
SPEAKER_05 |
transcript.pyannote[736].start |
21644.53034375 |
transcript.pyannote[736].end |
21645.05346875 |
transcript.pyannote[737].speaker |
SPEAKER_05 |
transcript.pyannote[737].start |
21645.79596875 |
transcript.pyannote[737].end |
21646.36971875 |
transcript.pyannote[738].speaker |
SPEAKER_05 |
transcript.pyannote[738].start |
21647.06159375 |
transcript.pyannote[738].end |
21648.81659375 |
transcript.pyannote[739].speaker |
SPEAKER_05 |
transcript.pyannote[739].start |
21650.23409375 |
transcript.pyannote[739].end |
21653.10284375 |
transcript.pyannote[740].speaker |
SPEAKER_05 |
transcript.pyannote[740].start |
21653.86221875 |
transcript.pyannote[740].end |
21654.67221875 |
transcript.pyannote[741].speaker |
SPEAKER_05 |
transcript.pyannote[741].start |
21654.99284375 |
transcript.pyannote[741].end |
21656.20784375 |
transcript.pyannote[742].speaker |
SPEAKER_05 |
transcript.pyannote[742].start |
21656.57909375 |
transcript.pyannote[742].end |
21658.58721875 |
transcript.pyannote[743].speaker |
SPEAKER_05 |
transcript.pyannote[743].start |
21658.99221875 |
transcript.pyannote[743].end |
21662.29971875 |
transcript.pyannote[744].speaker |
SPEAKER_05 |
transcript.pyannote[744].start |
21663.05909375 |
transcript.pyannote[744].end |
21665.35409375 |
transcript.pyannote[745].speaker |
SPEAKER_05 |
transcript.pyannote[745].start |
21665.55659375 |
transcript.pyannote[745].end |
21667.17659375 |
transcript.pyannote[746].speaker |
SPEAKER_05 |
transcript.pyannote[746].start |
21667.44659375 |
transcript.pyannote[746].end |
21671.04096875 |
transcript.pyannote[747].speaker |
SPEAKER_05 |
transcript.pyannote[747].start |
21672.40784375 |
transcript.pyannote[747].end |
21673.72409375 |
transcript.pyannote[748].speaker |
SPEAKER_05 |
transcript.pyannote[748].start |
21674.06159375 |
transcript.pyannote[748].end |
21678.70221875 |
transcript.pyannote[749].speaker |
SPEAKER_05 |
transcript.pyannote[749].start |
21679.10721875 |
transcript.pyannote[749].end |
21681.26721875 |
transcript.pyannote[750].speaker |
SPEAKER_05 |
transcript.pyannote[750].start |
21682.17846875 |
transcript.pyannote[750].end |
21686.12721875 |
transcript.pyannote[751].speaker |
SPEAKER_05 |
transcript.pyannote[751].start |
21686.70096875 |
transcript.pyannote[751].end |
21693.65346875 |
transcript.pyannote[752].speaker |
SPEAKER_05 |
transcript.pyannote[752].start |
21694.10909375 |
transcript.pyannote[752].end |
21695.32409375 |
transcript.pyannote[753].speaker |
SPEAKER_05 |
transcript.pyannote[753].start |
21695.69534375 |
transcript.pyannote[753].end |
21699.30659375 |
transcript.pyannote[754].speaker |
SPEAKER_05 |
transcript.pyannote[754].start |
21699.98159375 |
transcript.pyannote[754].end |
21703.79534375 |
transcript.pyannote[755].speaker |
SPEAKER_05 |
transcript.pyannote[755].start |
21705.29721875 |
transcript.pyannote[755].end |
21711.79409375 |
transcript.pyannote[756].speaker |
SPEAKER_05 |
transcript.pyannote[756].start |
21712.04721875 |
transcript.pyannote[756].end |
21714.94971875 |
transcript.pyannote[757].speaker |
SPEAKER_05 |
transcript.pyannote[757].start |
21715.40534375 |
transcript.pyannote[757].end |
21716.60346875 |
transcript.pyannote[758].speaker |
SPEAKER_05 |
transcript.pyannote[758].start |
21717.54846875 |
transcript.pyannote[758].end |
21722.23971875 |
transcript.pyannote[759].speaker |
SPEAKER_05 |
transcript.pyannote[759].start |
21722.84721875 |
transcript.pyannote[759].end |
21728.31471875 |
transcript.pyannote[760].speaker |
SPEAKER_05 |
transcript.pyannote[760].start |
21728.78721875 |
transcript.pyannote[760].end |
21730.00221875 |
transcript.pyannote[761].speaker |
SPEAKER_05 |
transcript.pyannote[761].start |
21730.39034375 |
transcript.pyannote[761].end |
21733.56284375 |
transcript.pyannote[762].speaker |
SPEAKER_05 |
transcript.pyannote[762].start |
21734.40659375 |
transcript.pyannote[762].end |
21737.14034375 |
transcript.pyannote[763].speaker |
SPEAKER_05 |
transcript.pyannote[763].start |
21737.66346875 |
transcript.pyannote[763].end |
21739.51971875 |
transcript.pyannote[764].speaker |
SPEAKER_05 |
transcript.pyannote[764].start |
21740.04284375 |
transcript.pyannote[764].end |
21741.19034375 |
transcript.pyannote[765].speaker |
SPEAKER_05 |
transcript.pyannote[765].start |
21742.42221875 |
transcript.pyannote[765].end |
21745.79721875 |
transcript.pyannote[766].speaker |
SPEAKER_05 |
transcript.pyannote[766].start |
21746.23596875 |
transcript.pyannote[766].end |
21751.90596875 |
transcript.pyannote[767].speaker |
SPEAKER_05 |
transcript.pyannote[767].start |
21752.22659375 |
transcript.pyannote[767].end |
21760.05659375 |
transcript.pyannote[768].speaker |
SPEAKER_05 |
transcript.pyannote[768].start |
21760.47846875 |
transcript.pyannote[768].end |
21764.51159375 |
transcript.pyannote[769].speaker |
SPEAKER_05 |
transcript.pyannote[769].start |
21764.56221875 |
transcript.pyannote[769].end |
21767.39721875 |
transcript.pyannote[770].speaker |
SPEAKER_05 |
transcript.pyannote[770].start |
21768.44346875 |
transcript.pyannote[770].end |
21771.78471875 |
transcript.pyannote[771].speaker |
SPEAKER_05 |
transcript.pyannote[771].start |
21772.39221875 |
transcript.pyannote[771].end |
21773.13471875 |
transcript.pyannote[772].speaker |
SPEAKER_05 |
transcript.pyannote[772].start |
21773.53971875 |
transcript.pyannote[772].end |
21776.69534375 |
transcript.pyannote[773].speaker |
SPEAKER_05 |
transcript.pyannote[773].start |
21777.33659375 |
transcript.pyannote[773].end |
21779.34471875 |
transcript.pyannote[774].speaker |
SPEAKER_05 |
transcript.pyannote[774].start |
21779.81721875 |
transcript.pyannote[774].end |
21780.30659375 |
transcript.pyannote[775].speaker |
SPEAKER_05 |
transcript.pyannote[775].start |
21780.62721875 |
transcript.pyannote[775].end |
21785.23409375 |
transcript.pyannote[776].speaker |
SPEAKER_05 |
transcript.pyannote[776].start |
21785.52096875 |
transcript.pyannote[776].end |
21787.81596875 |
transcript.pyannote[777].speaker |
SPEAKER_05 |
transcript.pyannote[777].start |
21788.11971875 |
transcript.pyannote[777].end |
21788.77784375 |
transcript.pyannote[778].speaker |
SPEAKER_05 |
transcript.pyannote[778].start |
21789.41909375 |
transcript.pyannote[778].end |
21790.06034375 |
transcript.pyannote[779].speaker |
SPEAKER_05 |
transcript.pyannote[779].start |
21790.38096875 |
transcript.pyannote[779].end |
21795.39284375 |
transcript.pyannote[780].speaker |
SPEAKER_05 |
transcript.pyannote[780].start |
21795.59534375 |
transcript.pyannote[780].end |
21796.91159375 |
transcript.pyannote[781].speaker |
SPEAKER_05 |
transcript.pyannote[781].start |
21797.08034375 |
transcript.pyannote[781].end |
21797.63721875 |
transcript.pyannote[782].speaker |
SPEAKER_05 |
transcript.pyannote[782].start |
21797.90721875 |
transcript.pyannote[782].end |
21798.44721875 |
transcript.pyannote[783].speaker |
SPEAKER_05 |
transcript.pyannote[783].start |
21798.83534375 |
transcript.pyannote[783].end |
21799.81409375 |
transcript.pyannote[784].speaker |
SPEAKER_05 |
transcript.pyannote[784].start |
21800.47221875 |
transcript.pyannote[784].end |
21803.17221875 |
transcript.pyannote[785].speaker |
SPEAKER_05 |
transcript.pyannote[785].start |
21803.69534375 |
transcript.pyannote[785].end |
21808.60596875 |
transcript.pyannote[786].speaker |
SPEAKER_05 |
transcript.pyannote[786].start |
21808.87596875 |
transcript.pyannote[786].end |
21811.45784375 |
transcript.pyannote[787].speaker |
SPEAKER_05 |
transcript.pyannote[787].start |
21812.06534375 |
transcript.pyannote[787].end |
21813.65159375 |
transcript.pyannote[788].speaker |
SPEAKER_05 |
transcript.pyannote[788].start |
21814.14096875 |
transcript.pyannote[788].end |
21818.07284375 |
transcript.pyannote[789].speaker |
SPEAKER_05 |
transcript.pyannote[789].start |
21818.54534375 |
transcript.pyannote[789].end |
21820.21596875 |
transcript.pyannote[790].speaker |
SPEAKER_05 |
transcript.pyannote[790].start |
21820.62096875 |
transcript.pyannote[790].end |
21821.81909375 |
transcript.pyannote[791].speaker |
SPEAKER_05 |
transcript.pyannote[791].start |
21821.97096875 |
transcript.pyannote[791].end |
21823.67534375 |
transcript.pyannote[792].speaker |
SPEAKER_05 |
transcript.pyannote[792].start |
21823.74284375 |
transcript.pyannote[792].end |
21824.95784375 |
transcript.pyannote[793].speaker |
SPEAKER_05 |
transcript.pyannote[793].start |
21825.10971875 |
transcript.pyannote[793].end |
21837.19221875 |
transcript.pyannote[794].speaker |
SPEAKER_05 |
transcript.pyannote[794].start |
21838.45784375 |
transcript.pyannote[794].end |
21840.80346875 |
transcript.pyannote[795].speaker |
SPEAKER_05 |
transcript.pyannote[795].start |
21840.90471875 |
transcript.pyannote[795].end |
21847.30034375 |
transcript.pyannote[796].speaker |
SPEAKER_05 |
transcript.pyannote[796].start |
21847.36784375 |
transcript.pyannote[796].end |
21849.61221875 |
transcript.pyannote[797].speaker |
SPEAKER_05 |
transcript.pyannote[797].start |
21850.20284375 |
transcript.pyannote[797].end |
21855.29909375 |
transcript.pyannote[798].speaker |
SPEAKER_05 |
transcript.pyannote[798].start |
21855.73784375 |
transcript.pyannote[798].end |
21867.48284375 |
transcript.pyannote[799].speaker |
SPEAKER_05 |
transcript.pyannote[799].start |
21868.17471875 |
transcript.pyannote[799].end |
21870.58784375 |
transcript.pyannote[800].speaker |
SPEAKER_05 |
transcript.pyannote[800].start |
21871.12784375 |
transcript.pyannote[800].end |
21872.59596875 |
transcript.pyannote[801].speaker |
SPEAKER_05 |
transcript.pyannote[801].start |
21872.79846875 |
transcript.pyannote[801].end |
21874.31721875 |
transcript.pyannote[802].speaker |
SPEAKER_05 |
transcript.pyannote[802].start |
21874.55346875 |
transcript.pyannote[802].end |
21874.87409375 |
transcript.pyannote[803].speaker |
SPEAKER_05 |
transcript.pyannote[803].start |
21875.16096875 |
transcript.pyannote[803].end |
21876.91596875 |
transcript.pyannote[804].speaker |
SPEAKER_05 |
transcript.pyannote[804].start |
21877.57409375 |
transcript.pyannote[804].end |
21879.02534375 |
transcript.pyannote[805].speaker |
SPEAKER_05 |
transcript.pyannote[805].start |
21879.48096875 |
transcript.pyannote[805].end |
21880.69596875 |
transcript.pyannote[806].speaker |
SPEAKER_05 |
transcript.pyannote[806].start |
21881.72534375 |
transcript.pyannote[806].end |
21885.60659375 |
transcript.pyannote[807].speaker |
SPEAKER_05 |
transcript.pyannote[807].start |
21885.94409375 |
transcript.pyannote[807].end |
21888.28971875 |
transcript.pyannote[808].speaker |
SPEAKER_05 |
transcript.pyannote[808].start |
21888.57659375 |
transcript.pyannote[808].end |
21889.25159375 |
transcript.pyannote[809].speaker |
SPEAKER_05 |
transcript.pyannote[809].start |
21889.58909375 |
transcript.pyannote[809].end |
21896.25471875 |
transcript.pyannote[810].speaker |
SPEAKER_05 |
transcript.pyannote[810].start |
21896.50784375 |
transcript.pyannote[810].end |
21899.69721875 |
transcript.pyannote[811].speaker |
SPEAKER_05 |
transcript.pyannote[811].start |
21900.49034375 |
transcript.pyannote[811].end |
21903.07221875 |
transcript.pyannote[812].speaker |
SPEAKER_05 |
transcript.pyannote[812].start |
21903.30846875 |
transcript.pyannote[812].end |
21904.79346875 |
transcript.pyannote[813].speaker |
SPEAKER_05 |
transcript.pyannote[813].start |
21904.99596875 |
transcript.pyannote[813].end |
21906.12659375 |
transcript.pyannote[814].speaker |
SPEAKER_05 |
transcript.pyannote[814].start |
21906.29534375 |
transcript.pyannote[814].end |
21908.50596875 |
transcript.pyannote[815].speaker |
SPEAKER_05 |
transcript.pyannote[815].start |
21909.04596875 |
transcript.pyannote[815].end |
21910.48034375 |
transcript.pyannote[816].speaker |
SPEAKER_05 |
transcript.pyannote[816].start |
21910.69971875 |
transcript.pyannote[816].end |
21912.03284375 |
transcript.pyannote[817].speaker |
SPEAKER_05 |
transcript.pyannote[817].start |
21912.55596875 |
transcript.pyannote[817].end |
21914.96909375 |
transcript.pyannote[818].speaker |
SPEAKER_05 |
transcript.pyannote[818].start |
21915.17159375 |
transcript.pyannote[818].end |
21919.06971875 |
transcript.pyannote[819].speaker |
SPEAKER_05 |
transcript.pyannote[819].start |
21919.49159375 |
transcript.pyannote[819].end |
21920.77409375 |
transcript.pyannote[820].speaker |
SPEAKER_05 |
transcript.pyannote[820].start |
21921.44909375 |
transcript.pyannote[820].end |
21924.31784375 |
transcript.pyannote[821].speaker |
SPEAKER_05 |
transcript.pyannote[821].start |
21925.14471875 |
transcript.pyannote[821].end |
21927.97971875 |
transcript.pyannote[822].speaker |
SPEAKER_05 |
transcript.pyannote[822].start |
21928.50284375 |
transcript.pyannote[822].end |
21931.84409375 |
transcript.pyannote[823].speaker |
SPEAKER_05 |
transcript.pyannote[823].start |
21932.18159375 |
transcript.pyannote[823].end |
21932.83971875 |
transcript.pyannote[824].speaker |
SPEAKER_05 |
transcript.pyannote[824].start |
21933.83534375 |
transcript.pyannote[824].end |
21936.19784375 |
transcript.pyannote[825].speaker |
SPEAKER_05 |
transcript.pyannote[825].start |
21936.99096875 |
transcript.pyannote[825].end |
21939.42096875 |
transcript.pyannote[826].speaker |
SPEAKER_05 |
transcript.pyannote[826].start |
21940.01159375 |
transcript.pyannote[826].end |
21940.63596875 |
transcript.pyannote[827].speaker |
SPEAKER_05 |
transcript.pyannote[827].start |
21941.05784375 |
transcript.pyannote[827].end |
21943.82534375 |
transcript.pyannote[828].speaker |
SPEAKER_05 |
transcript.pyannote[828].start |
21944.85471875 |
transcript.pyannote[828].end |
21948.22971875 |
transcript.pyannote[829].speaker |
SPEAKER_05 |
transcript.pyannote[829].start |
21948.43221875 |
transcript.pyannote[829].end |
21951.08159375 |
transcript.pyannote[830].speaker |
SPEAKER_05 |
transcript.pyannote[830].start |
21952.07721875 |
transcript.pyannote[830].end |
21954.96284375 |
transcript.pyannote[831].speaker |
SPEAKER_05 |
transcript.pyannote[831].start |
21955.31721875 |
transcript.pyannote[831].end |
21964.53096875 |
transcript.pyannote[832].speaker |
SPEAKER_05 |
transcript.pyannote[832].start |
21964.76721875 |
transcript.pyannote[832].end |
21967.73721875 |
transcript.pyannote[833].speaker |
SPEAKER_05 |
transcript.pyannote[833].start |
21967.83846875 |
transcript.pyannote[833].end |
21971.58471875 |
transcript.pyannote[834].speaker |
SPEAKER_05 |
transcript.pyannote[834].start |
21972.04034375 |
transcript.pyannote[834].end |
21973.40721875 |
transcript.pyannote[835].speaker |
SPEAKER_05 |
transcript.pyannote[835].start |
21973.55909375 |
transcript.pyannote[835].end |
21974.94284375 |
transcript.pyannote[836].speaker |
SPEAKER_05 |
transcript.pyannote[836].start |
21975.87096875 |
transcript.pyannote[836].end |
21977.57534375 |
transcript.pyannote[837].speaker |
SPEAKER_05 |
transcript.pyannote[837].start |
21977.69346875 |
transcript.pyannote[837].end |
21981.00096875 |
transcript.pyannote[838].speaker |
SPEAKER_05 |
transcript.pyannote[838].start |
21981.54096875 |
transcript.pyannote[838].end |
21983.27909375 |
transcript.pyannote[839].speaker |
SPEAKER_05 |
transcript.pyannote[839].start |
21983.53221875 |
transcript.pyannote[839].end |
21984.07221875 |
transcript.pyannote[840].speaker |
SPEAKER_05 |
transcript.pyannote[840].start |
21984.59534375 |
transcript.pyannote[840].end |
21986.29971875 |
transcript.pyannote[841].speaker |
SPEAKER_05 |
transcript.pyannote[841].start |
21986.48534375 |
transcript.pyannote[841].end |
21993.30284375 |
transcript.pyannote[842].speaker |
SPEAKER_05 |
transcript.pyannote[842].start |
21993.99471875 |
transcript.pyannote[842].end |
22001.57159375 |
transcript.pyannote[843].speaker |
SPEAKER_05 |
transcript.pyannote[843].start |
22001.72346875 |
transcript.pyannote[843].end |
22003.02284375 |
transcript.pyannote[844].speaker |
SPEAKER_05 |
transcript.pyannote[844].start |
22003.10721875 |
transcript.pyannote[844].end |
22010.71784375 |
transcript.pyannote[845].speaker |
SPEAKER_05 |
transcript.pyannote[845].start |
22011.05534375 |
transcript.pyannote[845].end |
22020.58971875 |
transcript.pyannote[846].speaker |
SPEAKER_05 |
transcript.pyannote[846].start |
22020.64034375 |
transcript.pyannote[846].end |
22022.02409375 |
transcript.pyannote[847].speaker |
SPEAKER_05 |
transcript.pyannote[847].start |
22022.54721875 |
transcript.pyannote[847].end |
22023.71159375 |
transcript.pyannote[848].speaker |
SPEAKER_05 |
transcript.pyannote[848].start |
22024.04909375 |
transcript.pyannote[848].end |
22025.19659375 |
transcript.pyannote[849].speaker |
SPEAKER_05 |
transcript.pyannote[849].start |
22025.29784375 |
transcript.pyannote[849].end |
22028.63909375 |
transcript.pyannote[850].speaker |
SPEAKER_05 |
transcript.pyannote[850].start |
22028.90909375 |
transcript.pyannote[850].end |
22031.50784375 |
transcript.pyannote[851].speaker |
SPEAKER_05 |
transcript.pyannote[851].start |
22032.08159375 |
transcript.pyannote[851].end |
22036.57034375 |
transcript.pyannote[852].speaker |
SPEAKER_05 |
transcript.pyannote[852].start |
22037.00909375 |
transcript.pyannote[852].end |
22039.50659375 |
transcript.pyannote[853].speaker |
SPEAKER_05 |
transcript.pyannote[853].start |
22039.70909375 |
transcript.pyannote[853].end |
22041.46409375 |
transcript.pyannote[854].speaker |
SPEAKER_05 |
transcript.pyannote[854].start |
22041.97034375 |
transcript.pyannote[854].end |
22045.58159375 |
transcript.pyannote[855].speaker |
SPEAKER_05 |
transcript.pyannote[855].start |
22046.30721875 |
transcript.pyannote[855].end |
22048.21409375 |
transcript.pyannote[856].speaker |
SPEAKER_05 |
transcript.pyannote[856].start |
22048.36596875 |
transcript.pyannote[856].end |
22062.62534375 |
transcript.pyannote[857].speaker |
SPEAKER_05 |
transcript.pyannote[857].start |
22063.41846875 |
transcript.pyannote[857].end |
22068.29534375 |
transcript.pyannote[858].speaker |
SPEAKER_05 |
transcript.pyannote[858].start |
22068.80159375 |
transcript.pyannote[858].end |
22073.03721875 |
transcript.pyannote[859].speaker |
SPEAKER_05 |
transcript.pyannote[859].start |
22073.18909375 |
transcript.pyannote[859].end |
22075.28159375 |
transcript.pyannote[860].speaker |
SPEAKER_05 |
transcript.pyannote[860].start |
22075.66971875 |
transcript.pyannote[860].end |
22077.42471875 |
transcript.pyannote[861].speaker |
SPEAKER_05 |
transcript.pyannote[861].start |
22078.06596875 |
transcript.pyannote[861].end |
22080.39471875 |
transcript.pyannote[862].speaker |
SPEAKER_05 |
transcript.pyannote[862].start |
22080.88409375 |
transcript.pyannote[862].end |
22088.86596875 |
transcript.pyannote[863].speaker |
SPEAKER_05 |
transcript.pyannote[863].start |
22089.32159375 |
transcript.pyannote[863].end |
22091.46471875 |
transcript.pyannote[864].speaker |
SPEAKER_05 |
transcript.pyannote[864].start |
22091.81909375 |
transcript.pyannote[864].end |
22094.50221875 |
transcript.pyannote[865].speaker |
SPEAKER_05 |
transcript.pyannote[865].start |
22094.89034375 |
transcript.pyannote[865].end |
22100.49284375 |
transcript.pyannote[866].speaker |
SPEAKER_05 |
transcript.pyannote[866].start |
22100.96534375 |
transcript.pyannote[866].end |
22105.18409375 |
transcript.pyannote[867].speaker |
SPEAKER_05 |
transcript.pyannote[867].start |
22105.35284375 |
transcript.pyannote[867].end |
22113.08159375 |
transcript.pyannote[868].speaker |
SPEAKER_05 |
transcript.pyannote[868].start |
22113.68909375 |
transcript.pyannote[868].end |
22116.45659375 |
transcript.pyannote[869].speaker |
SPEAKER_05 |
transcript.pyannote[869].start |
22117.18221875 |
transcript.pyannote[869].end |
22118.51534375 |
transcript.pyannote[870].speaker |
SPEAKER_05 |
transcript.pyannote[870].start |
22119.17346875 |
transcript.pyannote[870].end |
22124.15159375 |
transcript.pyannote[871].speaker |
SPEAKER_05 |
transcript.pyannote[871].start |
22124.52284375 |
transcript.pyannote[871].end |
22127.89784375 |
transcript.pyannote[872].speaker |
SPEAKER_05 |
transcript.pyannote[872].start |
22128.72471875 |
transcript.pyannote[872].end |
22132.09971875 |
transcript.pyannote[873].speaker |
SPEAKER_05 |
transcript.pyannote[873].start |
22132.48784375 |
transcript.pyannote[873].end |
22135.96409375 |
transcript.pyannote[874].speaker |
SPEAKER_05 |
transcript.pyannote[874].start |
22136.25096875 |
transcript.pyannote[874].end |
22137.73596875 |
transcript.pyannote[875].speaker |
SPEAKER_05 |
transcript.pyannote[875].start |
22137.97221875 |
transcript.pyannote[875].end |
22142.61284375 |
transcript.pyannote[876].speaker |
SPEAKER_05 |
transcript.pyannote[876].start |
22142.76471875 |
transcript.pyannote[876].end |
22144.82346875 |
transcript.pyannote[877].speaker |
SPEAKER_05 |
transcript.pyannote[877].start |
22145.59971875 |
transcript.pyannote[877].end |
22152.77159375 |
transcript.pyannote[878].speaker |
SPEAKER_05 |
transcript.pyannote[878].start |
22153.32846875 |
transcript.pyannote[878].end |
22167.16596875 |
transcript.pyannote[879].speaker |
SPEAKER_05 |
transcript.pyannote[879].start |
22167.77346875 |
transcript.pyannote[879].end |
22170.11909375 |
transcript.pyannote[880].speaker |
SPEAKER_05 |
transcript.pyannote[880].start |
22170.23721875 |
transcript.pyannote[880].end |
22170.77721875 |
transcript.pyannote[881].speaker |
SPEAKER_05 |
transcript.pyannote[881].start |
22171.14846875 |
transcript.pyannote[881].end |
22172.90346875 |
transcript.pyannote[882].speaker |
SPEAKER_05 |
transcript.pyannote[882].start |
22173.12284375 |
transcript.pyannote[882].end |
22174.42221875 |
transcript.pyannote[883].speaker |
SPEAKER_05 |
transcript.pyannote[883].start |
22175.63721875 |
transcript.pyannote[883].end |
22178.50596875 |
transcript.pyannote[884].speaker |
SPEAKER_05 |
transcript.pyannote[884].start |
22178.72534375 |
transcript.pyannote[884].end |
22181.94846875 |
transcript.pyannote[885].speaker |
SPEAKER_05 |
transcript.pyannote[885].start |
22182.42096875 |
transcript.pyannote[885].end |
22183.58534375 |
transcript.pyannote[886].speaker |
SPEAKER_05 |
transcript.pyannote[886].start |
22184.02409375 |
transcript.pyannote[886].end |
22185.35721875 |
transcript.pyannote[887].speaker |
SPEAKER_05 |
transcript.pyannote[887].start |
22185.72846875 |
transcript.pyannote[887].end |
22188.63096875 |
transcript.pyannote[888].speaker |
SPEAKER_05 |
transcript.pyannote[888].start |
22189.06971875 |
transcript.pyannote[888].end |
22190.92596875 |
transcript.pyannote[889].speaker |
SPEAKER_05 |
transcript.pyannote[889].start |
22191.36471875 |
transcript.pyannote[889].end |
22196.47784375 |
transcript.pyannote[890].speaker |
SPEAKER_05 |
transcript.pyannote[890].start |
22197.11909375 |
transcript.pyannote[890].end |
22199.68409375 |
transcript.pyannote[891].speaker |
SPEAKER_05 |
transcript.pyannote[891].start |
22199.97096875 |
transcript.pyannote[891].end |
22209.20159375 |
transcript.pyannote[892].speaker |
SPEAKER_05 |
transcript.pyannote[892].start |
22209.77534375 |
transcript.pyannote[892].end |
22211.36159375 |
transcript.pyannote[893].speaker |
SPEAKER_05 |
transcript.pyannote[893].start |
22211.68221875 |
transcript.pyannote[893].end |
22217.08221875 |
transcript.pyannote[894].speaker |
SPEAKER_05 |
transcript.pyannote[894].start |
22217.41971875 |
transcript.pyannote[894].end |
22221.41909375 |
transcript.pyannote[895].speaker |
SPEAKER_05 |
transcript.pyannote[895].start |
22221.75659375 |
transcript.pyannote[895].end |
22227.62909375 |
transcript.pyannote[896].speaker |
SPEAKER_05 |
transcript.pyannote[896].start |
22228.10159375 |
transcript.pyannote[896].end |
22229.53596875 |
transcript.pyannote[897].speaker |
SPEAKER_05 |
transcript.pyannote[897].start |
22230.39659375 |
transcript.pyannote[897].end |
22231.51034375 |
transcript.pyannote[898].speaker |
SPEAKER_05 |
transcript.pyannote[898].start |
22232.10096875 |
transcript.pyannote[898].end |
22233.68721875 |
transcript.pyannote[899].speaker |
SPEAKER_05 |
transcript.pyannote[899].start |
22234.61534375 |
transcript.pyannote[899].end |
22237.63596875 |
transcript.pyannote[900].speaker |
SPEAKER_05 |
transcript.pyannote[900].start |
22237.90596875 |
transcript.pyannote[900].end |
22239.49221875 |
transcript.pyannote[901].speaker |
SPEAKER_05 |
transcript.pyannote[901].start |
22239.96471875 |
transcript.pyannote[901].end |
22242.96846875 |
transcript.pyannote[902].speaker |
SPEAKER_05 |
transcript.pyannote[902].start |
22243.06971875 |
transcript.pyannote[902].end |
22245.09471875 |
transcript.pyannote[903].speaker |
SPEAKER_05 |
transcript.pyannote[903].start |
22245.38159375 |
transcript.pyannote[903].end |
22251.42284375 |
transcript.pyannote[904].speaker |
SPEAKER_05 |
transcript.pyannote[904].start |
22251.77721875 |
transcript.pyannote[904].end |
22253.43096875 |
transcript.pyannote[905].speaker |
SPEAKER_05 |
transcript.pyannote[905].start |
22253.97096875 |
transcript.pyannote[905].end |
22256.26596875 |
transcript.pyannote[906].speaker |
SPEAKER_05 |
transcript.pyannote[906].start |
22256.56971875 |
transcript.pyannote[906].end |
22266.69471875 |
transcript.pyannote[907].speaker |
SPEAKER_05 |
transcript.pyannote[907].start |
22267.57221875 |
transcript.pyannote[907].end |
22271.53784375 |
transcript.pyannote[908].speaker |
SPEAKER_05 |
transcript.pyannote[908].start |
22271.74034375 |
transcript.pyannote[908].end |
22273.76534375 |
transcript.pyannote[909].speaker |
SPEAKER_05 |
transcript.pyannote[909].start |
22275.01409375 |
transcript.pyannote[909].end |
22276.09409375 |
transcript.pyannote[910].speaker |
SPEAKER_05 |
transcript.pyannote[910].start |
22276.26284375 |
transcript.pyannote[910].end |
22280.59971875 |
transcript.pyannote[911].speaker |
SPEAKER_05 |
transcript.pyannote[911].start |
22281.17346875 |
transcript.pyannote[911].end |
22284.54846875 |
transcript.pyannote[912].speaker |
SPEAKER_05 |
transcript.pyannote[912].start |
22284.88596875 |
transcript.pyannote[912].end |
22293.84659375 |
transcript.pyannote[913].speaker |
SPEAKER_05 |
transcript.pyannote[913].start |
22294.04909375 |
transcript.pyannote[913].end |
22295.44971875 |
transcript.pyannote[914].speaker |
SPEAKER_05 |
transcript.pyannote[914].start |
22295.65221875 |
transcript.pyannote[914].end |
22297.49159375 |
transcript.pyannote[915].speaker |
SPEAKER_05 |
transcript.pyannote[915].start |
22297.71096875 |
transcript.pyannote[915].end |
22307.26221875 |
transcript.pyannote[916].speaker |
SPEAKER_05 |
transcript.pyannote[916].start |
22307.97096875 |
transcript.pyannote[916].end |
22311.26159375 |
transcript.pyannote[917].speaker |
SPEAKER_05 |
transcript.pyannote[917].start |
22311.73409375 |
transcript.pyannote[917].end |
22319.36159375 |
transcript.pyannote[918].speaker |
SPEAKER_05 |
transcript.pyannote[918].start |
22320.12096875 |
transcript.pyannote[918].end |
22320.54284375 |
transcript.pyannote[919].speaker |
SPEAKER_05 |
transcript.pyannote[919].start |
22320.82971875 |
transcript.pyannote[919].end |
22322.55096875 |
transcript.pyannote[920].speaker |
SPEAKER_05 |
transcript.pyannote[920].start |
22323.04034375 |
transcript.pyannote[920].end |
22326.14534375 |
transcript.pyannote[921].speaker |
SPEAKER_05 |
transcript.pyannote[921].start |
22326.33096875 |
transcript.pyannote[921].end |
22334.56596875 |
transcript.pyannote[922].speaker |
SPEAKER_05 |
transcript.pyannote[922].start |
22334.97096875 |
transcript.pyannote[922].end |
22341.55221875 |
transcript.pyannote[923].speaker |
SPEAKER_05 |
transcript.pyannote[923].start |
22342.68284375 |
transcript.pyannote[923].end |
22351.22159375 |
transcript.pyannote[924].speaker |
SPEAKER_05 |
transcript.pyannote[924].start |
22351.84596875 |
transcript.pyannote[924].end |
22357.29659375 |
transcript.pyannote[925].speaker |
SPEAKER_05 |
transcript.pyannote[925].start |
22357.43159375 |
transcript.pyannote[925].end |
22358.10659375 |
transcript.pyannote[926].speaker |
SPEAKER_05 |
transcript.pyannote[926].start |
22358.19096875 |
transcript.pyannote[926].end |
22361.19471875 |
transcript.pyannote[927].speaker |
SPEAKER_05 |
transcript.pyannote[927].start |
22361.39721875 |
transcript.pyannote[927].end |
22363.59096875 |
transcript.pyannote[928].speaker |
SPEAKER_05 |
transcript.pyannote[928].start |
22363.91159375 |
transcript.pyannote[928].end |
22368.60284375 |
transcript.pyannote[929].speaker |
SPEAKER_05 |
transcript.pyannote[929].start |
22368.95721875 |
transcript.pyannote[929].end |
22369.05846875 |
transcript.pyannote[930].speaker |
SPEAKER_05 |
transcript.pyannote[930].start |
22369.31159375 |
transcript.pyannote[930].end |
22371.91034375 |
transcript.pyannote[931].speaker |
SPEAKER_05 |
transcript.pyannote[931].start |
22372.01159375 |
transcript.pyannote[931].end |
22376.29784375 |
transcript.pyannote[932].speaker |
SPEAKER_05 |
transcript.pyannote[932].start |
22377.07409375 |
transcript.pyannote[932].end |
22379.72346875 |
transcript.pyannote[933].speaker |
SPEAKER_05 |
transcript.pyannote[933].start |
22380.01034375 |
transcript.pyannote[933].end |
22386.32159375 |
transcript.pyannote[934].speaker |
SPEAKER_05 |
transcript.pyannote[934].start |
22386.42284375 |
transcript.pyannote[934].end |
22398.91034375 |
transcript.pyannote[935].speaker |
SPEAKER_05 |
transcript.pyannote[935].start |
22400.51346875 |
transcript.pyannote[935].end |
22403.12909375 |
transcript.pyannote[936].speaker |
SPEAKER_05 |
transcript.pyannote[936].start |
22403.43284375 |
transcript.pyannote[936].end |
22407.55034375 |
transcript.pyannote[937].speaker |
SPEAKER_05 |
transcript.pyannote[937].start |
22407.76971875 |
transcript.pyannote[937].end |
22414.30034375 |
transcript.pyannote[938].speaker |
SPEAKER_05 |
transcript.pyannote[938].start |
22414.87409375 |
transcript.pyannote[938].end |
22416.83159375 |
transcript.pyannote[939].speaker |
SPEAKER_05 |
transcript.pyannote[939].start |
22417.28721875 |
transcript.pyannote[939].end |
22418.77221875 |
transcript.pyannote[940].speaker |
SPEAKER_05 |
transcript.pyannote[940].start |
22418.97471875 |
transcript.pyannote[940].end |
22419.80159375 |
transcript.pyannote[941].speaker |
SPEAKER_05 |
transcript.pyannote[941].start |
22420.27409375 |
transcript.pyannote[941].end |
22420.89846875 |
transcript.pyannote[942].speaker |
SPEAKER_05 |
transcript.pyannote[942].start |
22421.11784375 |
transcript.pyannote[942].end |
22426.63596875 |
transcript.pyannote[943].speaker |
SPEAKER_05 |
transcript.pyannote[943].start |
22427.22659375 |
transcript.pyannote[943].end |
22429.99409375 |
transcript.pyannote[944].speaker |
SPEAKER_05 |
transcript.pyannote[944].start |
22430.07846875 |
transcript.pyannote[944].end |
22437.65534375 |
transcript.pyannote[945].speaker |
SPEAKER_05 |
transcript.pyannote[945].start |
22437.97596875 |
transcript.pyannote[945].end |
22446.22784375 |
transcript.pyannote[946].speaker |
SPEAKER_05 |
transcript.pyannote[946].start |
22446.81846875 |
transcript.pyannote[946].end |
22451.93159375 |
transcript.pyannote[947].speaker |
SPEAKER_05 |
transcript.pyannote[947].start |
22452.20159375 |
transcript.pyannote[947].end |
22454.64846875 |
transcript.pyannote[948].speaker |
SPEAKER_05 |
transcript.pyannote[948].start |
22455.12096875 |
transcript.pyannote[948].end |
22457.58471875 |
transcript.pyannote[949].speaker |
SPEAKER_05 |
transcript.pyannote[949].start |
22457.83784375 |
transcript.pyannote[949].end |
22459.44096875 |
transcript.pyannote[950].speaker |
SPEAKER_05 |
transcript.pyannote[950].start |
22459.87971875 |
transcript.pyannote[950].end |
22460.23409375 |
transcript.pyannote[951].speaker |
SPEAKER_05 |
transcript.pyannote[951].start |
22460.45346875 |
transcript.pyannote[951].end |
22468.65471875 |
transcript.pyannote[952].speaker |
SPEAKER_05 |
transcript.pyannote[952].start |
22469.46471875 |
transcript.pyannote[952].end |
22477.09221875 |
transcript.pyannote[953].speaker |
SPEAKER_05 |
transcript.pyannote[953].start |
22477.39596875 |
transcript.pyannote[953].end |
22480.01159375 |
transcript.pyannote[954].speaker |
SPEAKER_05 |
transcript.pyannote[954].start |
22480.12971875 |
transcript.pyannote[954].end |
22482.35721875 |
transcript.pyannote[955].speaker |
SPEAKER_05 |
transcript.pyannote[955].start |
22482.64409375 |
transcript.pyannote[955].end |
22487.09909375 |
transcript.pyannote[956].speaker |
SPEAKER_05 |
transcript.pyannote[956].start |
22487.25096875 |
transcript.pyannote[956].end |
22491.67221875 |
transcript.pyannote[957].speaker |
SPEAKER_05 |
transcript.pyannote[957].start |
22491.73971875 |
transcript.pyannote[957].end |
22492.78596875 |
transcript.pyannote[958].speaker |
SPEAKER_05 |
transcript.pyannote[958].start |
22492.97159375 |
transcript.pyannote[958].end |
22494.54096875 |
transcript.pyannote[959].speaker |
SPEAKER_05 |
transcript.pyannote[959].start |
22494.67596875 |
transcript.pyannote[959].end |
22498.50659375 |
transcript.pyannote[960].speaker |
SPEAKER_05 |
transcript.pyannote[960].start |
22498.70909375 |
transcript.pyannote[960].end |
22505.02034375 |
transcript.pyannote[961].speaker |
SPEAKER_29 |
transcript.pyannote[961].start |
22511.63534375 |
transcript.pyannote[961].end |
22513.64346875 |
transcript.pyannote[962].speaker |
SPEAKER_29 |
transcript.pyannote[962].start |
22514.85846875 |
transcript.pyannote[962].end |
22517.96346875 |
transcript.pyannote[963].speaker |
SPEAKER_29 |
transcript.pyannote[963].start |
22518.40221875 |
transcript.pyannote[963].end |
22520.15721875 |
transcript.pyannote[964].speaker |
SPEAKER_29 |
transcript.pyannote[964].start |
22520.81534375 |
transcript.pyannote[964].end |
22522.21596875 |
transcript.pyannote[965].speaker |
SPEAKER_29 |
transcript.pyannote[965].start |
22523.00909375 |
transcript.pyannote[965].end |
22527.31221875 |
transcript.pyannote[966].speaker |
SPEAKER_29 |
transcript.pyannote[966].start |
22527.75096875 |
transcript.pyannote[966].end |
22532.47596875 |
transcript.pyannote[967].speaker |
SPEAKER_09 |
transcript.pyannote[967].start |
22551.78096875 |
transcript.pyannote[967].end |
22553.82284375 |
transcript.pyannote[968].speaker |
SPEAKER_29 |
transcript.pyannote[968].start |
22554.19409375 |
transcript.pyannote[968].end |
22556.06721875 |
transcript.pyannote[969].speaker |
SPEAKER_09 |
transcript.pyannote[969].start |
22557.87284375 |
transcript.pyannote[969].end |
22558.02471875 |
transcript.pyannote[970].speaker |
SPEAKER_29 |
transcript.pyannote[970].start |
22558.02471875 |
transcript.pyannote[970].end |
22558.15971875 |
transcript.pyannote[971].speaker |
SPEAKER_09 |
transcript.pyannote[971].start |
22558.15971875 |
transcript.pyannote[971].end |
22560.33659375 |
transcript.pyannote[972].speaker |
SPEAKER_29 |
transcript.pyannote[972].start |
22561.38284375 |
transcript.pyannote[972].end |
22562.80034375 |
transcript.pyannote[973].speaker |
SPEAKER_05 |
transcript.pyannote[973].start |
22569.09471875 |
transcript.pyannote[973].end |
22569.80346875 |
transcript.pyannote[974].speaker |
SPEAKER_09 |
transcript.pyannote[974].start |
22576.60409375 |
transcript.pyannote[974].end |
22580.95784375 |
transcript.pyannote[975].speaker |
SPEAKER_09 |
transcript.pyannote[975].start |
22581.61596875 |
transcript.pyannote[975].end |
22585.81784375 |
transcript.pyannote[976].speaker |
SPEAKER_09 |
transcript.pyannote[976].start |
22586.57721875 |
transcript.pyannote[976].end |
22587.74159375 |
transcript.pyannote[977].speaker |
SPEAKER_09 |
transcript.pyannote[977].start |
22588.11284375 |
transcript.pyannote[977].end |
22592.93909375 |
transcript.pyannote[978].speaker |
SPEAKER_09 |
transcript.pyannote[978].start |
22593.25971875 |
transcript.pyannote[978].end |
22594.69409375 |
transcript.pyannote[979].speaker |
SPEAKER_09 |
transcript.pyannote[979].start |
22595.50409375 |
transcript.pyannote[979].end |
22596.80346875 |
transcript.pyannote[980].speaker |
SPEAKER_09 |
transcript.pyannote[980].start |
22597.02284375 |
transcript.pyannote[980].end |
22599.99284375 |
transcript.pyannote[981].speaker |
SPEAKER_09 |
transcript.pyannote[981].start |
22600.85346875 |
transcript.pyannote[981].end |
22603.57034375 |
transcript.pyannote[982].speaker |
SPEAKER_09 |
transcript.pyannote[982].start |
22604.53221875 |
transcript.pyannote[982].end |
22606.96221875 |
transcript.pyannote[983].speaker |
SPEAKER_09 |
transcript.pyannote[983].start |
22607.36721875 |
transcript.pyannote[983].end |
22609.47659375 |
transcript.pyannote[984].speaker |
SPEAKER_09 |
transcript.pyannote[984].start |
22609.91534375 |
transcript.pyannote[984].end |
22618.36971875 |
transcript.pyannote[985].speaker |
SPEAKER_09 |
transcript.pyannote[985].start |
22618.89284375 |
transcript.pyannote[985].end |
22620.81659375 |
transcript.pyannote[986].speaker |
SPEAKER_09 |
transcript.pyannote[986].start |
22620.96846875 |
transcript.pyannote[986].end |
22624.02284375 |
transcript.pyannote[987].speaker |
SPEAKER_09 |
transcript.pyannote[987].start |
22624.64721875 |
transcript.pyannote[987].end |
22627.63409375 |
transcript.pyannote[988].speaker |
SPEAKER_05 |
transcript.pyannote[988].start |
22628.29221875 |
transcript.pyannote[988].end |
22630.13159375 |
transcript.pyannote[989].speaker |
SPEAKER_05 |
transcript.pyannote[989].start |
22630.36784375 |
transcript.pyannote[989].end |
22641.89346875 |
transcript.pyannote[990].speaker |
SPEAKER_05 |
transcript.pyannote[990].start |
22642.23096875 |
transcript.pyannote[990].end |
22643.53034375 |
transcript.pyannote[991].speaker |
SPEAKER_05 |
transcript.pyannote[991].start |
22643.81721875 |
transcript.pyannote[991].end |
22646.71971875 |
transcript.pyannote[992].speaker |
SPEAKER_05 |
transcript.pyannote[992].start |
22646.87159375 |
transcript.pyannote[992].end |
22648.17096875 |
transcript.pyannote[993].speaker |
SPEAKER_05 |
transcript.pyannote[993].start |
22648.45784375 |
transcript.pyannote[993].end |
22648.99784375 |
transcript.pyannote[994].speaker |
SPEAKER_05 |
transcript.pyannote[994].start |
22649.11596875 |
transcript.pyannote[994].end |
22656.97971875 |
transcript.pyannote[995].speaker |
SPEAKER_09 |
transcript.pyannote[995].start |
22656.55784375 |
transcript.pyannote[995].end |
22658.00909375 |
transcript.pyannote[996].speaker |
SPEAKER_09 |
transcript.pyannote[996].start |
22658.51534375 |
transcript.pyannote[996].end |
22659.46034375 |
transcript.pyannote[997].speaker |
SPEAKER_09 |
transcript.pyannote[997].start |
22660.10159375 |
transcript.pyannote[997].end |
22665.02909375 |
transcript.pyannote[998].speaker |
SPEAKER_09 |
transcript.pyannote[998].start |
22665.46784375 |
transcript.pyannote[998].end |
22688.41784375 |
transcript.pyannote[999].speaker |
SPEAKER_09 |
transcript.pyannote[999].start |
22689.39659375 |
transcript.pyannote[999].end |
22690.07159375 |
transcript.pyannote[1000].speaker |
SPEAKER_09 |
transcript.pyannote[1000].start |
22690.62846875 |
transcript.pyannote[1000].end |
22692.29909375 |
transcript.pyannote[1001].speaker |
SPEAKER_09 |
transcript.pyannote[1001].start |
22692.67034375 |
transcript.pyannote[1001].end |
22694.34096875 |
transcript.pyannote[1002].speaker |
SPEAKER_05 |
transcript.pyannote[1002].start |
22695.62346875 |
transcript.pyannote[1002].end |
22696.80471875 |
transcript.pyannote[1003].speaker |
SPEAKER_09 |
transcript.pyannote[1003].start |
22695.79221875 |
transcript.pyannote[1003].end |
22696.33221875 |
transcript.pyannote[1004].speaker |
SPEAKER_05 |
transcript.pyannote[1004].start |
22697.39534375 |
transcript.pyannote[1004].end |
22698.34034375 |
transcript.pyannote[1005].speaker |
SPEAKER_05 |
transcript.pyannote[1005].start |
22698.52596875 |
transcript.pyannote[1005].end |
22699.67346875 |
transcript.pyannote[1006].speaker |
SPEAKER_05 |
transcript.pyannote[1006].start |
22699.90971875 |
transcript.pyannote[1006].end |
22701.68159375 |
transcript.pyannote[1007].speaker |
SPEAKER_05 |
transcript.pyannote[1007].start |
22702.00221875 |
transcript.pyannote[1007].end |
22705.56284375 |
transcript.pyannote[1008].speaker |
SPEAKER_05 |
transcript.pyannote[1008].start |
22705.64721875 |
transcript.pyannote[1008].end |
22710.13596875 |
transcript.pyannote[1009].speaker |
SPEAKER_09 |
transcript.pyannote[1009].start |
22708.85346875 |
transcript.pyannote[1009].end |
22710.50721875 |
transcript.pyannote[1010].speaker |
SPEAKER_05 |
transcript.pyannote[1010].start |
22711.16534375 |
transcript.pyannote[1010].end |
22714.11846875 |
transcript.pyannote[1011].speaker |
SPEAKER_05 |
transcript.pyannote[1011].start |
22714.20284375 |
transcript.pyannote[1011].end |
22715.70471875 |
transcript.pyannote[1012].speaker |
SPEAKER_05 |
transcript.pyannote[1012].start |
22715.94096875 |
transcript.pyannote[1012].end |
22719.04596875 |
transcript.pyannote[1013].speaker |
SPEAKER_05 |
transcript.pyannote[1013].start |
22719.29909375 |
transcript.pyannote[1013].end |
22722.23534375 |
transcript.pyannote[1014].speaker |
SPEAKER_09 |
transcript.pyannote[1014].start |
22722.85971875 |
transcript.pyannote[1014].end |
22724.15909375 |
transcript.pyannote[1015].speaker |
SPEAKER_09 |
transcript.pyannote[1015].start |
22724.71596875 |
transcript.pyannote[1015].end |
22729.23846875 |
transcript.pyannote[1016].speaker |
SPEAKER_09 |
transcript.pyannote[1016].start |
22729.37346875 |
transcript.pyannote[1016].end |
22731.58409375 |
transcript.pyannote[1017].speaker |
SPEAKER_09 |
transcript.pyannote[1017].start |
22732.57971875 |
transcript.pyannote[1017].end |
22750.61909375 |
transcript.pyannote[1018].speaker |
SPEAKER_09 |
transcript.pyannote[1018].start |
22751.24346875 |
transcript.pyannote[1018].end |
22753.03221875 |
transcript.pyannote[1019].speaker |
SPEAKER_09 |
transcript.pyannote[1019].start |
22753.16721875 |
transcript.pyannote[1019].end |
22771.84784375 |
transcript.pyannote[1020].speaker |
SPEAKER_09 |
transcript.pyannote[1020].start |
22772.43846875 |
transcript.pyannote[1020].end |
22808.68596875 |
transcript.pyannote[1021].speaker |
SPEAKER_09 |
transcript.pyannote[1021].start |
22809.52971875 |
transcript.pyannote[1021].end |
22819.68846875 |
transcript.pyannote[1022].speaker |
SPEAKER_09 |
transcript.pyannote[1022].start |
22820.17784375 |
transcript.pyannote[1022].end |
22822.84409375 |
transcript.pyannote[1023].speaker |
SPEAKER_09 |
transcript.pyannote[1023].start |
22823.41784375 |
transcript.pyannote[1023].end |
22824.02534375 |
transcript.pyannote[1024].speaker |
SPEAKER_09 |
transcript.pyannote[1024].start |
22824.71721875 |
transcript.pyannote[1024].end |
22827.80534375 |
transcript.pyannote[1025].speaker |
SPEAKER_09 |
transcript.pyannote[1025].start |
22828.37909375 |
transcript.pyannote[1025].end |
22830.67409375 |
transcript.pyannote[1026].speaker |
SPEAKER_09 |
transcript.pyannote[1026].start |
22831.11284375 |
transcript.pyannote[1026].end |
22840.32659375 |
transcript.pyannote[1027].speaker |
SPEAKER_09 |
transcript.pyannote[1027].start |
22840.56284375 |
transcript.pyannote[1027].end |
22865.25096875 |
transcript.pyannote[1028].speaker |
SPEAKER_09 |
transcript.pyannote[1028].start |
22865.95971875 |
transcript.pyannote[1028].end |
22868.08596875 |
transcript.pyannote[1029].speaker |
SPEAKER_05 |
transcript.pyannote[1029].start |
22868.23784375 |
transcript.pyannote[1029].end |
22872.43971875 |
transcript.pyannote[1030].speaker |
SPEAKER_05 |
transcript.pyannote[1030].start |
22872.47346875 |
transcript.pyannote[1030].end |
22873.78971875 |
transcript.pyannote[1031].speaker |
SPEAKER_05 |
transcript.pyannote[1031].start |
22873.97534375 |
transcript.pyannote[1031].end |
22877.48534375 |
transcript.pyannote[1032].speaker |
SPEAKER_05 |
transcript.pyannote[1032].start |
22877.92409375 |
transcript.pyannote[1032].end |
22884.67409375 |
transcript.pyannote[1033].speaker |
SPEAKER_05 |
transcript.pyannote[1033].start |
22885.07909375 |
transcript.pyannote[1033].end |
22888.85909375 |
transcript.pyannote[1034].speaker |
SPEAKER_05 |
transcript.pyannote[1034].start |
22889.14596875 |
transcript.pyannote[1034].end |
22889.60159375 |
transcript.pyannote[1035].speaker |
SPEAKER_05 |
transcript.pyannote[1035].start |
22889.78721875 |
transcript.pyannote[1035].end |
22891.25534375 |
transcript.pyannote[1036].speaker |
SPEAKER_05 |
transcript.pyannote[1036].start |
22891.59284375 |
transcript.pyannote[1036].end |
22894.66409375 |
transcript.pyannote[1037].speaker |
SPEAKER_05 |
transcript.pyannote[1037].start |
22894.86659375 |
transcript.pyannote[1037].end |
22895.38971875 |
transcript.pyannote[1038].speaker |
SPEAKER_05 |
transcript.pyannote[1038].start |
22895.96346875 |
transcript.pyannote[1038].end |
22902.12284375 |
transcript.pyannote[1039].speaker |
SPEAKER_25 |
transcript.pyannote[1039].start |
22899.11909375 |
transcript.pyannote[1039].end |
22899.59159375 |
transcript.pyannote[1040].speaker |
SPEAKER_25 |
transcript.pyannote[1040].start |
22900.60409375 |
transcript.pyannote[1040].end |
22900.62096875 |
transcript.pyannote[1041].speaker |
SPEAKER_09 |
transcript.pyannote[1041].start |
22900.62096875 |
transcript.pyannote[1041].end |
22900.84034375 |
transcript.pyannote[1042].speaker |
SPEAKER_25 |
transcript.pyannote[1042].start |
22900.84034375 |
transcript.pyannote[1042].end |
22900.97534375 |
transcript.pyannote[1043].speaker |
SPEAKER_09 |
transcript.pyannote[1043].start |
22900.97534375 |
transcript.pyannote[1043].end |
22901.98784375 |
transcript.pyannote[1044].speaker |
SPEAKER_05 |
transcript.pyannote[1044].start |
22902.46034375 |
transcript.pyannote[1044].end |
22907.57346875 |
transcript.pyannote[1045].speaker |
SPEAKER_09 |
transcript.pyannote[1045].start |
22907.15159375 |
transcript.pyannote[1045].end |
22910.59409375 |
transcript.pyannote[1046].speaker |
SPEAKER_05 |
transcript.pyannote[1046].start |
22909.83471875 |
transcript.pyannote[1046].end |
22909.98659375 |
transcript.pyannote[1047].speaker |
SPEAKER_09 |
transcript.pyannote[1047].start |
22910.81346875 |
transcript.pyannote[1047].end |
22922.27159375 |
transcript.pyannote[1048].speaker |
SPEAKER_09 |
transcript.pyannote[1048].start |
22922.99721875 |
transcript.pyannote[1048].end |
22934.69159375 |
transcript.pyannote[1049].speaker |
SPEAKER_09 |
transcript.pyannote[1049].start |
22935.28221875 |
transcript.pyannote[1049].end |
22937.59409375 |
transcript.pyannote[1050].speaker |
SPEAKER_09 |
transcript.pyannote[1050].start |
22938.16784375 |
transcript.pyannote[1050].end |
22944.22596875 |
transcript.pyannote[1051].speaker |
SPEAKER_09 |
transcript.pyannote[1051].start |
22945.01909375 |
transcript.pyannote[1051].end |
22956.29159375 |
transcript.pyannote[1052].speaker |
SPEAKER_09 |
transcript.pyannote[1052].start |
22956.47721875 |
transcript.pyannote[1052].end |
22971.86721875 |
transcript.pyannote[1053].speaker |
SPEAKER_05 |
transcript.pyannote[1053].start |
22972.15409375 |
transcript.pyannote[1053].end |
22976.37284375 |
transcript.pyannote[1054].speaker |
SPEAKER_05 |
transcript.pyannote[1054].start |
22976.54159375 |
transcript.pyannote[1054].end |
22977.97596875 |
transcript.pyannote[1055].speaker |
SPEAKER_05 |
transcript.pyannote[1055].start |
22978.24596875 |
transcript.pyannote[1055].end |
22979.03909375 |
transcript.pyannote[1056].speaker |
SPEAKER_05 |
transcript.pyannote[1056].start |
22979.35971875 |
transcript.pyannote[1056].end |
22983.47721875 |
transcript.pyannote[1057].speaker |
SPEAKER_05 |
transcript.pyannote[1057].start |
22983.76409375 |
transcript.pyannote[1057].end |
22989.24846875 |
transcript.pyannote[1058].speaker |
SPEAKER_09 |
transcript.pyannote[1058].start |
22989.38346875 |
transcript.pyannote[1058].end |
22993.14659375 |
transcript.pyannote[1059].speaker |
SPEAKER_05 |
transcript.pyannote[1059].start |
22993.88909375 |
transcript.pyannote[1059].end |
22994.20971875 |
transcript.pyannote[1060].speaker |
SPEAKER_05 |
transcript.pyannote[1060].start |
22994.58096875 |
transcript.pyannote[1060].end |
22997.68596875 |
transcript.pyannote[1061].speaker |
SPEAKER_05 |
transcript.pyannote[1061].start |
22998.39471875 |
transcript.pyannote[1061].end |
22999.76159375 |
transcript.pyannote[1062].speaker |
SPEAKER_05 |
transcript.pyannote[1062].start |
23000.30159375 |
transcript.pyannote[1062].end |
23004.57096875 |
transcript.pyannote[1063].speaker |
SPEAKER_05 |
transcript.pyannote[1063].start |
23004.84096875 |
transcript.pyannote[1063].end |
23015.08409375 |
transcript.pyannote[1064].speaker |
SPEAKER_09 |
transcript.pyannote[1064].start |
23011.33784375 |
transcript.pyannote[1064].end |
23013.27846875 |
transcript.pyannote[1065].speaker |
SPEAKER_09 |
transcript.pyannote[1065].start |
23013.75096875 |
transcript.pyannote[1065].end |
23014.44284375 |
transcript.pyannote[1066].speaker |
SPEAKER_09 |
transcript.pyannote[1066].start |
23014.62846875 |
transcript.pyannote[1066].end |
23018.79659375 |
transcript.pyannote[1067].speaker |
SPEAKER_09 |
transcript.pyannote[1067].start |
23019.75846875 |
transcript.pyannote[1067].end |
23023.85909375 |
transcript.pyannote[1068].speaker |
SPEAKER_09 |
transcript.pyannote[1068].start |
23024.66909375 |
transcript.pyannote[1068].end |
23029.41096875 |
transcript.pyannote[1069].speaker |
SPEAKER_09 |
transcript.pyannote[1069].start |
23029.93409375 |
transcript.pyannote[1069].end |
23030.77784375 |
transcript.pyannote[1070].speaker |
SPEAKER_05 |
transcript.pyannote[1070].start |
23031.70596875 |
transcript.pyannote[1070].end |
23032.80284375 |
transcript.pyannote[1071].speaker |
SPEAKER_05 |
transcript.pyannote[1071].start |
23033.27534375 |
transcript.pyannote[1071].end |
23033.69721875 |
transcript.pyannote[1072].speaker |
SPEAKER_05 |
transcript.pyannote[1072].start |
23034.11909375 |
transcript.pyannote[1072].end |
23040.27846875 |
transcript.pyannote[1073].speaker |
SPEAKER_09 |
transcript.pyannote[1073].start |
23040.27846875 |
transcript.pyannote[1073].end |
23044.81784375 |
transcript.pyannote[1074].speaker |
SPEAKER_07 |
transcript.pyannote[1074].start |
23045.34096875 |
transcript.pyannote[1074].end |
23045.37471875 |
transcript.pyannote[1075].speaker |
SPEAKER_09 |
transcript.pyannote[1075].start |
23045.37471875 |
transcript.pyannote[1075].end |
23051.29784375 |
transcript.pyannote[1076].speaker |
SPEAKER_09 |
transcript.pyannote[1076].start |
23051.93909375 |
transcript.pyannote[1076].end |
23052.46221875 |
transcript.pyannote[1077].speaker |
SPEAKER_09 |
transcript.pyannote[1077].start |
23052.63096875 |
transcript.pyannote[1077].end |
23053.87971875 |
transcript.pyannote[1078].speaker |
SPEAKER_09 |
transcript.pyannote[1078].start |
23055.44909375 |
transcript.pyannote[1078].end |
23073.99471875 |
transcript.pyannote[1079].speaker |
SPEAKER_05 |
transcript.pyannote[1079].start |
23075.24346875 |
transcript.pyannote[1079].end |
23089.45221875 |
transcript.pyannote[1080].speaker |
SPEAKER_00 |
transcript.pyannote[1080].start |
23083.84971875 |
transcript.pyannote[1080].end |
23084.42346875 |
transcript.pyannote[1081].speaker |
SPEAKER_05 |
transcript.pyannote[1081].start |
23089.68846875 |
transcript.pyannote[1081].end |
23092.45596875 |
transcript.pyannote[1082].speaker |
SPEAKER_00 |
transcript.pyannote[1082].start |
23089.72221875 |
transcript.pyannote[1082].end |
23091.03846875 |
transcript.pyannote[1083].speaker |
SPEAKER_07 |
transcript.pyannote[1083].start |
23091.03846875 |
transcript.pyannote[1083].end |
23091.40971875 |
transcript.pyannote[1084].speaker |
SPEAKER_00 |
transcript.pyannote[1084].start |
23091.40971875 |
transcript.pyannote[1084].end |
23091.42659375 |
transcript.pyannote[1085].speaker |
SPEAKER_05 |
transcript.pyannote[1085].start |
23092.67534375 |
transcript.pyannote[1085].end |
23094.31221875 |
transcript.pyannote[1086].speaker |
SPEAKER_00 |
transcript.pyannote[1086].start |
23092.69221875 |
transcript.pyannote[1086].end |
23092.70909375 |
transcript.pyannote[1087].speaker |
SPEAKER_07 |
transcript.pyannote[1087].start |
23092.70909375 |
transcript.pyannote[1087].end |
23093.24909375 |
transcript.pyannote[1088].speaker |
SPEAKER_05 |
transcript.pyannote[1088].start |
23094.41346875 |
transcript.pyannote[1088].end |
23101.72034375 |
transcript.pyannote[1089].speaker |
SPEAKER_09 |
transcript.pyannote[1089].start |
23099.02034375 |
transcript.pyannote[1089].end |
23099.20596875 |
transcript.pyannote[1090].speaker |
SPEAKER_07 |
transcript.pyannote[1090].start |
23099.20596875 |
transcript.pyannote[1090].end |
23099.25659375 |
transcript.pyannote[1091].speaker |
SPEAKER_09 |
transcript.pyannote[1091].start |
23100.82596875 |
transcript.pyannote[1091].end |
23105.33159375 |
transcript.pyannote[1092].speaker |
SPEAKER_09 |
transcript.pyannote[1092].start |
23105.60159375 |
transcript.pyannote[1092].end |
23106.10784375 |
transcript.pyannote[1093].speaker |
SPEAKER_09 |
transcript.pyannote[1093].start |
23106.29346875 |
transcript.pyannote[1093].end |
23140.90409375 |
transcript.pyannote[1094].speaker |
SPEAKER_09 |
transcript.pyannote[1094].start |
23141.76471875 |
transcript.pyannote[1094].end |
23150.47221875 |
transcript.pyannote[1095].speaker |
SPEAKER_09 |
transcript.pyannote[1095].start |
23151.68721875 |
transcript.pyannote[1095].end |
23153.29034375 |
transcript.pyannote[1096].speaker |
SPEAKER_09 |
transcript.pyannote[1096].start |
23153.67846875 |
transcript.pyannote[1096].end |
23157.64409375 |
transcript.pyannote[1097].speaker |
SPEAKER_09 |
transcript.pyannote[1097].start |
23158.21784375 |
transcript.pyannote[1097].end |
23168.78159375 |
transcript.pyannote[1098].speaker |
SPEAKER_05 |
transcript.pyannote[1098].start |
23169.37221875 |
transcript.pyannote[1098].end |
23173.33784375 |
transcript.pyannote[1099].speaker |
SPEAKER_05 |
transcript.pyannote[1099].start |
23173.60784375 |
transcript.pyannote[1099].end |
23175.21096875 |
transcript.pyannote[1100].speaker |
SPEAKER_05 |
transcript.pyannote[1100].start |
23175.78471875 |
transcript.pyannote[1100].end |
23178.07971875 |
transcript.pyannote[1101].speaker |
SPEAKER_05 |
transcript.pyannote[1101].start |
23178.13034375 |
transcript.pyannote[1101].end |
23178.14721875 |
transcript.pyannote[1102].speaker |
SPEAKER_09 |
transcript.pyannote[1102].start |
23178.14721875 |
transcript.pyannote[1102].end |
23179.39596875 |
transcript.pyannote[1103].speaker |
SPEAKER_05 |
transcript.pyannote[1103].start |
23178.16409375 |
transcript.pyannote[1103].end |
23178.88971875 |
transcript.pyannote[1104].speaker |
SPEAKER_05 |
transcript.pyannote[1104].start |
23178.90659375 |
transcript.pyannote[1104].end |
23187.81659375 |
transcript.pyannote[1105].speaker |
SPEAKER_09 |
transcript.pyannote[1105].start |
23185.01534375 |
transcript.pyannote[1105].end |
23185.92659375 |
transcript.pyannote[1106].speaker |
SPEAKER_09 |
transcript.pyannote[1106].start |
23188.00221875 |
transcript.pyannote[1106].end |
23195.86596875 |
transcript.pyannote[1107].speaker |
SPEAKER_09 |
transcript.pyannote[1107].start |
23196.06846875 |
transcript.pyannote[1107].end |
23212.53846875 |
transcript.pyannote[1108].speaker |
SPEAKER_09 |
transcript.pyannote[1108].start |
23212.96034375 |
transcript.pyannote[1108].end |
23214.88409375 |
transcript.pyannote[1109].speaker |
SPEAKER_05 |
transcript.pyannote[1109].start |
23215.13721875 |
transcript.pyannote[1109].end |
23216.77409375 |
transcript.pyannote[1110].speaker |
SPEAKER_05 |
transcript.pyannote[1110].start |
23217.19596875 |
transcript.pyannote[1110].end |
23224.73909375 |
transcript.pyannote[1111].speaker |
SPEAKER_05 |
transcript.pyannote[1111].start |
23225.71784375 |
transcript.pyannote[1111].end |
23228.36721875 |
transcript.pyannote[1112].speaker |
SPEAKER_09 |
transcript.pyannote[1112].start |
23228.40096875 |
transcript.pyannote[1112].end |
23248.48221875 |
transcript.pyannote[1113].speaker |
SPEAKER_09 |
transcript.pyannote[1113].start |
23248.60034375 |
transcript.pyannote[1113].end |
23248.61721875 |
transcript.pyannote[1114].speaker |
SPEAKER_05 |
transcript.pyannote[1114].start |
23248.61721875 |
transcript.pyannote[1114].end |
23248.63409375 |
transcript.pyannote[1115].speaker |
SPEAKER_09 |
transcript.pyannote[1115].start |
23248.63409375 |
transcript.pyannote[1115].end |
23248.65096875 |
transcript.pyannote[1116].speaker |
SPEAKER_05 |
transcript.pyannote[1116].start |
23248.65096875 |
transcript.pyannote[1116].end |
23255.38409375 |
transcript.pyannote[1117].speaker |
SPEAKER_09 |
transcript.pyannote[1117].start |
23248.71846875 |
transcript.pyannote[1117].end |
23249.02221875 |
transcript.pyannote[1118].speaker |
SPEAKER_09 |
transcript.pyannote[1118].start |
23252.46471875 |
transcript.pyannote[1118].end |
23266.16721875 |
transcript.pyannote[1119].speaker |
SPEAKER_05 |
transcript.pyannote[1119].start |
23260.19346875 |
transcript.pyannote[1119].end |
23260.56471875 |
transcript.pyannote[1120].speaker |
SPEAKER_09 |
transcript.pyannote[1120].start |
23266.26846875 |
transcript.pyannote[1120].end |
23277.82784375 |
transcript.pyannote[1121].speaker |
SPEAKER_19 |
transcript.pyannote[1121].start |
23278.21596875 |
transcript.pyannote[1121].end |
23279.70096875 |
transcript.pyannote[1122].speaker |
SPEAKER_19 |
transcript.pyannote[1122].start |
23279.85284375 |
transcript.pyannote[1122].end |
23283.37971875 |
transcript.pyannote[1123].speaker |
SPEAKER_19 |
transcript.pyannote[1123].start |
23283.59909375 |
transcript.pyannote[1123].end |
23285.45534375 |
transcript.pyannote[1124].speaker |
SPEAKER_19 |
transcript.pyannote[1124].start |
23285.91096875 |
transcript.pyannote[1124].end |
23288.42534375 |
transcript.pyannote[1125].speaker |
SPEAKER_19 |
transcript.pyannote[1125].start |
23288.77971875 |
transcript.pyannote[1125].end |
23289.38721875 |
transcript.pyannote[1126].speaker |
SPEAKER_19 |
transcript.pyannote[1126].start |
23289.85971875 |
transcript.pyannote[1126].end |
23292.96471875 |
transcript.pyannote[1127].speaker |
SPEAKER_19 |
transcript.pyannote[1127].start |
23293.16721875 |
transcript.pyannote[1127].end |
23296.08659375 |
transcript.pyannote[1128].speaker |
SPEAKER_19 |
transcript.pyannote[1128].start |
23296.35659375 |
transcript.pyannote[1128].end |
23299.15784375 |
transcript.pyannote[1129].speaker |
SPEAKER_19 |
transcript.pyannote[1129].start |
23299.54596875 |
transcript.pyannote[1129].end |
23300.67659375 |
transcript.pyannote[1130].speaker |
SPEAKER_19 |
transcript.pyannote[1130].start |
23301.23346875 |
transcript.pyannote[1130].end |
23305.38471875 |
transcript.pyannote[1131].speaker |
SPEAKER_09 |
transcript.pyannote[1131].start |
23305.06409375 |
transcript.pyannote[1131].end |
23307.66284375 |
transcript.pyannote[1132].speaker |
SPEAKER_19 |
transcript.pyannote[1132].start |
23307.19034375 |
transcript.pyannote[1132].end |
23307.64596875 |
transcript.pyannote[1133].speaker |
SPEAKER_19 |
transcript.pyannote[1133].start |
23307.66284375 |
transcript.pyannote[1133].end |
23307.69659375 |
transcript.pyannote[1134].speaker |
SPEAKER_09 |
transcript.pyannote[1134].start |
23307.84846875 |
transcript.pyannote[1134].end |
23308.03409375 |
transcript.pyannote[1135].speaker |
SPEAKER_19 |
transcript.pyannote[1135].start |
23308.03409375 |
transcript.pyannote[1135].end |
23312.89409375 |
transcript.pyannote[1136].speaker |
SPEAKER_19 |
transcript.pyannote[1136].start |
23313.26534375 |
transcript.pyannote[1136].end |
23315.25659375 |
transcript.pyannote[1137].speaker |
SPEAKER_19 |
transcript.pyannote[1137].start |
23315.37471875 |
transcript.pyannote[1137].end |
23319.45846875 |
transcript.pyannote[1138].speaker |
SPEAKER_19 |
transcript.pyannote[1138].start |
23319.57659375 |
transcript.pyannote[1138].end |
23321.50034375 |
transcript.pyannote[1139].speaker |
SPEAKER_19 |
transcript.pyannote[1139].start |
23321.68596875 |
transcript.pyannote[1139].end |
23331.79409375 |
transcript.pyannote[1140].speaker |
SPEAKER_19 |
transcript.pyannote[1140].start |
23332.16534375 |
transcript.pyannote[1140].end |
23333.86971875 |
transcript.pyannote[1141].speaker |
SPEAKER_19 |
transcript.pyannote[1141].start |
23334.08909375 |
transcript.pyannote[1141].end |
23340.09659375 |
transcript.pyannote[1142].speaker |
SPEAKER_19 |
transcript.pyannote[1142].start |
23340.78846875 |
transcript.pyannote[1142].end |
23342.67846875 |
transcript.pyannote[1143].speaker |
SPEAKER_19 |
transcript.pyannote[1143].start |
23342.96534375 |
transcript.pyannote[1143].end |
23345.51346875 |
transcript.pyannote[1144].speaker |
SPEAKER_19 |
transcript.pyannote[1144].start |
23345.74971875 |
transcript.pyannote[1144].end |
23348.43284375 |
transcript.pyannote[1145].speaker |
SPEAKER_09 |
transcript.pyannote[1145].start |
23346.89721875 |
transcript.pyannote[1145].end |
23350.66034375 |
transcript.pyannote[1146].speaker |
SPEAKER_19 |
transcript.pyannote[1146].start |
23350.35659375 |
transcript.pyannote[1146].end |
23366.74221875 |
transcript.pyannote[1147].speaker |
SPEAKER_10 |
transcript.pyannote[1147].start |
23361.39284375 |
transcript.pyannote[1147].end |
23363.23221875 |
transcript.pyannote[1148].speaker |
SPEAKER_09 |
transcript.pyannote[1148].start |
23363.23221875 |
transcript.pyannote[1148].end |
23363.24909375 |
transcript.pyannote[1149].speaker |
SPEAKER_10 |
transcript.pyannote[1149].start |
23363.24909375 |
transcript.pyannote[1149].end |
23363.26596875 |
transcript.pyannote[1150].speaker |
SPEAKER_09 |
transcript.pyannote[1150].start |
23363.26596875 |
transcript.pyannote[1150].end |
23363.33346875 |
transcript.pyannote[1151].speaker |
SPEAKER_10 |
transcript.pyannote[1151].start |
23363.33346875 |
transcript.pyannote[1151].end |
23363.38409375 |
transcript.pyannote[1152].speaker |
SPEAKER_10 |
transcript.pyannote[1152].start |
23364.86909375 |
transcript.pyannote[1152].end |
23364.97034375 |
transcript.pyannote[1153].speaker |
SPEAKER_09 |
transcript.pyannote[1153].start |
23364.97034375 |
transcript.pyannote[1153].end |
23365.08846875 |
transcript.pyannote[1154].speaker |
SPEAKER_09 |
transcript.pyannote[1154].start |
23365.27409375 |
transcript.pyannote[1154].end |
23370.52221875 |
transcript.pyannote[1155].speaker |
SPEAKER_19 |
transcript.pyannote[1155].start |
23370.55596875 |
transcript.pyannote[1155].end |
23374.92659375 |
transcript.pyannote[1156].speaker |
SPEAKER_19 |
transcript.pyannote[1156].start |
23375.19659375 |
transcript.pyannote[1156].end |
23394.94034375 |
transcript.pyannote[1157].speaker |
SPEAKER_06 |
transcript.pyannote[1157].start |
23376.29346875 |
transcript.pyannote[1157].end |
23376.66471875 |
transcript.pyannote[1158].speaker |
SPEAKER_00 |
transcript.pyannote[1158].start |
23383.85346875 |
transcript.pyannote[1158].end |
23384.03909375 |
transcript.pyannote[1159].speaker |
SPEAKER_07 |
transcript.pyannote[1159].start |
23384.03909375 |
transcript.pyannote[1159].end |
23386.04721875 |
transcript.pyannote[1160].speaker |
SPEAKER_09 |
transcript.pyannote[1160].start |
23395.02471875 |
transcript.pyannote[1160].end |
23420.79284375 |
transcript.pyannote[1161].speaker |
SPEAKER_09 |
transcript.pyannote[1161].start |
23421.41721875 |
transcript.pyannote[1161].end |
23423.69534375 |
transcript.pyannote[1162].speaker |
SPEAKER_09 |
transcript.pyannote[1162].start |
23424.06659375 |
transcript.pyannote[1162].end |
23426.68221875 |
transcript.pyannote[1163].speaker |
SPEAKER_09 |
transcript.pyannote[1163].start |
23427.37409375 |
transcript.pyannote[1163].end |
23428.01534375 |
transcript.pyannote[1164].speaker |
SPEAKER_09 |
transcript.pyannote[1164].start |
23428.58909375 |
transcript.pyannote[1164].end |
23436.68909375 |
transcript.pyannote[1165].speaker |
SPEAKER_09 |
transcript.pyannote[1165].start |
23437.39784375 |
transcript.pyannote[1165].end |
23439.84471875 |
transcript.pyannote[1166].speaker |
SPEAKER_09 |
transcript.pyannote[1166].start |
23440.38471875 |
transcript.pyannote[1166].end |
23442.46034375 |
transcript.pyannote[1167].speaker |
SPEAKER_09 |
transcript.pyannote[1167].start |
23442.93284375 |
transcript.pyannote[1167].end |
23480.61471875 |
transcript.pyannote[1168].speaker |
SPEAKER_29 |
transcript.pyannote[1168].start |
23482.11659375 |
transcript.pyannote[1168].end |
23485.54221875 |
transcript.pyannote[1169].speaker |
SPEAKER_29 |
transcript.pyannote[1169].start |
23488.95096875 |
transcript.pyannote[1169].end |
23493.86159375 |
transcript.pyannote[1170].speaker |
SPEAKER_29 |
transcript.pyannote[1170].start |
23496.40971875 |
transcript.pyannote[1170].end |
23498.26596875 |
transcript.pyannote[1171].speaker |
SPEAKER_29 |
transcript.pyannote[1171].start |
23521.67159375 |
transcript.pyannote[1171].end |
23523.29159375 |
transcript.pyannote[1172].speaker |
SPEAKER_29 |
transcript.pyannote[1172].start |
23523.88221875 |
transcript.pyannote[1172].end |
23525.56971875 |
transcript.pyannote[1173].speaker |
SPEAKER_05 |
transcript.pyannote[1173].start |
23535.59346875 |
transcript.pyannote[1173].end |
23536.20096875 |
transcript.pyannote[1174].speaker |
SPEAKER_05 |
transcript.pyannote[1174].start |
23537.39909375 |
transcript.pyannote[1174].end |
23538.20909375 |
transcript.pyannote[1175].speaker |
SPEAKER_04 |
transcript.pyannote[1175].start |
23538.20909375 |
transcript.pyannote[1175].end |
23538.22596875 |
transcript.pyannote[1176].speaker |
SPEAKER_05 |
transcript.pyannote[1176].start |
23538.68159375 |
transcript.pyannote[1176].end |
23539.27221875 |
transcript.pyannote[1177].speaker |
SPEAKER_04 |
transcript.pyannote[1177].start |
23540.06534375 |
transcript.pyannote[1177].end |
23540.40284375 |
transcript.pyannote[1178].speaker |
SPEAKER_05 |
transcript.pyannote[1178].start |
23540.40284375 |
transcript.pyannote[1178].end |
23541.14534375 |
transcript.pyannote[1179].speaker |
SPEAKER_04 |
transcript.pyannote[1179].start |
23541.14534375 |
transcript.pyannote[1179].end |
23542.68096875 |
transcript.pyannote[1180].speaker |
SPEAKER_05 |
transcript.pyannote[1180].start |
23541.26346875 |
transcript.pyannote[1180].end |
23541.33096875 |
transcript.pyannote[1181].speaker |
SPEAKER_04 |
transcript.pyannote[1181].start |
23542.86659375 |
transcript.pyannote[1181].end |
23543.13659375 |
transcript.pyannote[1182].speaker |
SPEAKER_04 |
transcript.pyannote[1182].start |
23543.96346875 |
transcript.pyannote[1182].end |
23545.06034375 |
transcript.pyannote[1183].speaker |
SPEAKER_04 |
transcript.pyannote[1183].start |
23546.30909375 |
transcript.pyannote[1183].end |
23547.15284375 |
transcript.pyannote[1184].speaker |
SPEAKER_04 |
transcript.pyannote[1184].start |
23547.84471875 |
transcript.pyannote[1184].end |
23549.00909375 |
transcript.pyannote[1185].speaker |
SPEAKER_04 |
transcript.pyannote[1185].start |
23549.76846875 |
transcript.pyannote[1185].end |
23551.23659375 |
transcript.pyannote[1186].speaker |
SPEAKER_04 |
transcript.pyannote[1186].start |
23552.48534375 |
transcript.pyannote[1186].end |
23553.80159375 |
transcript.pyannote[1187].speaker |
SPEAKER_04 |
transcript.pyannote[1187].start |
23554.54409375 |
transcript.pyannote[1187].end |
23555.47221875 |
transcript.pyannote[1188].speaker |
SPEAKER_04 |
transcript.pyannote[1188].start |
23556.61971875 |
transcript.pyannote[1188].end |
23558.18909375 |
transcript.pyannote[1189].speaker |
SPEAKER_04 |
transcript.pyannote[1189].start |
23559.67409375 |
transcript.pyannote[1189].end |
23560.68659375 |
transcript.pyannote[1190].speaker |
SPEAKER_04 |
transcript.pyannote[1190].start |
23561.51346875 |
transcript.pyannote[1190].end |
23562.77909375 |
transcript.pyannote[1191].speaker |
SPEAKER_04 |
transcript.pyannote[1191].start |
23563.53846875 |
transcript.pyannote[1191].end |
23564.61846875 |
transcript.pyannote[1192].speaker |
SPEAKER_04 |
transcript.pyannote[1192].start |
23564.95596875 |
transcript.pyannote[1192].end |
23566.30596875 |
transcript.pyannote[1193].speaker |
SPEAKER_04 |
transcript.pyannote[1193].start |
23567.31846875 |
transcript.pyannote[1193].end |
23568.85409375 |
transcript.pyannote[1194].speaker |
SPEAKER_04 |
transcript.pyannote[1194].start |
23569.98471875 |
transcript.pyannote[1194].end |
23570.98034375 |
transcript.pyannote[1195].speaker |
SPEAKER_04 |
transcript.pyannote[1195].start |
23571.41909375 |
transcript.pyannote[1195].end |
23572.34721875 |
transcript.pyannote[1196].speaker |
SPEAKER_04 |
transcript.pyannote[1196].start |
23573.25846875 |
transcript.pyannote[1196].end |
23574.60846875 |
transcript.pyannote[1197].speaker |
SPEAKER_04 |
transcript.pyannote[1197].start |
23575.58721875 |
transcript.pyannote[1197].end |
23576.56596875 |
transcript.pyannote[1198].speaker |
SPEAKER_04 |
transcript.pyannote[1198].start |
23579.14784375 |
transcript.pyannote[1198].end |
23579.77221875 |
transcript.pyannote[1199].speaker |
SPEAKER_04 |
transcript.pyannote[1199].start |
23580.10971875 |
transcript.pyannote[1199].end |
23581.02096875 |
transcript.pyannote[1200].speaker |
SPEAKER_04 |
transcript.pyannote[1200].start |
23581.72971875 |
transcript.pyannote[1200].end |
23583.41721875 |
transcript.pyannote[1201].speaker |
SPEAKER_04 |
transcript.pyannote[1201].start |
23583.68721875 |
transcript.pyannote[1201].end |
23584.63221875 |
transcript.pyannote[1202].speaker |
SPEAKER_04 |
transcript.pyannote[1202].start |
23585.07096875 |
transcript.pyannote[1202].end |
23586.30284375 |
transcript.pyannote[1203].speaker |
SPEAKER_04 |
transcript.pyannote[1203].start |
23587.31534375 |
transcript.pyannote[1203].end |
23588.58096875 |
transcript.pyannote[1204].speaker |
SPEAKER_04 |
transcript.pyannote[1204].start |
23590.04909375 |
transcript.pyannote[1204].end |
23590.99409375 |
transcript.pyannote[1205].speaker |
SPEAKER_04 |
transcript.pyannote[1205].start |
23591.73659375 |
transcript.pyannote[1205].end |
23592.81659375 |
transcript.pyannote[1206].speaker |
SPEAKER_04 |
transcript.pyannote[1206].start |
23593.28909375 |
transcript.pyannote[1206].end |
23594.92596875 |
transcript.pyannote[1207].speaker |
SPEAKER_04 |
transcript.pyannote[1207].start |
23595.71909375 |
transcript.pyannote[1207].end |
23597.67659375 |
transcript.pyannote[1208].speaker |
SPEAKER_04 |
transcript.pyannote[1208].start |
23598.53721875 |
transcript.pyannote[1208].end |
23600.62971875 |
transcript.pyannote[1209].speaker |
SPEAKER_04 |
transcript.pyannote[1209].start |
23601.72659375 |
transcript.pyannote[1209].end |
23603.07659375 |
transcript.pyannote[1210].speaker |
SPEAKER_04 |
transcript.pyannote[1210].start |
23603.75159375 |
transcript.pyannote[1210].end |
23604.51096875 |
transcript.pyannote[1211].speaker |
SPEAKER_04 |
transcript.pyannote[1211].start |
23604.66284375 |
transcript.pyannote[1211].end |
23605.72596875 |
transcript.pyannote[1212].speaker |
SPEAKER_04 |
transcript.pyannote[1212].start |
23606.95784375 |
transcript.pyannote[1212].end |
23607.95346875 |
transcript.pyannote[1213].speaker |
SPEAKER_04 |
transcript.pyannote[1213].start |
23609.28659375 |
transcript.pyannote[1213].end |
23611.29471875 |
transcript.pyannote[1214].speaker |
SPEAKER_04 |
transcript.pyannote[1214].start |
23611.54784375 |
transcript.pyannote[1214].end |
23611.95284375 |
transcript.pyannote[1215].speaker |
SPEAKER_04 |
transcript.pyannote[1215].start |
23612.61096875 |
transcript.pyannote[1215].end |
23614.39971875 |
transcript.pyannote[1216].speaker |
SPEAKER_04 |
transcript.pyannote[1216].start |
23615.73284375 |
transcript.pyannote[1216].end |
23616.49221875 |
transcript.pyannote[1217].speaker |
SPEAKER_04 |
transcript.pyannote[1217].start |
23617.38659375 |
transcript.pyannote[1217].end |
23618.31471875 |
transcript.pyannote[1218].speaker |
SPEAKER_04 |
transcript.pyannote[1218].start |
23619.27659375 |
transcript.pyannote[1218].end |
23620.06971875 |
transcript.pyannote[1219].speaker |
SPEAKER_04 |
transcript.pyannote[1219].start |
23620.96409375 |
transcript.pyannote[1219].end |
23622.02721875 |
transcript.pyannote[1220].speaker |
SPEAKER_04 |
transcript.pyannote[1220].start |
23622.93846875 |
transcript.pyannote[1220].end |
23623.49534375 |
transcript.pyannote[1221].speaker |
SPEAKER_04 |
transcript.pyannote[1221].start |
23623.73159375 |
transcript.pyannote[1221].end |
23624.96346875 |
transcript.pyannote[1222].speaker |
SPEAKER_05 |
transcript.pyannote[1222].start |
23624.96346875 |
transcript.pyannote[1222].end |
23625.31784375 |
transcript.pyannote[1223].speaker |
SPEAKER_05 |
transcript.pyannote[1223].start |
23625.60471875 |
transcript.pyannote[1223].end |
23627.62971875 |
transcript.pyannote[1224].speaker |
SPEAKER_05 |
transcript.pyannote[1224].start |
23627.66346875 |
transcript.pyannote[1224].end |
23630.66721875 |
transcript.pyannote[1225].speaker |
SPEAKER_04 |
transcript.pyannote[1225].start |
23631.56159375 |
transcript.pyannote[1225].end |
23632.11846875 |
transcript.pyannote[1226].speaker |
SPEAKER_04 |
transcript.pyannote[1226].start |
23632.42221875 |
transcript.pyannote[1226].end |
23633.83971875 |
transcript.pyannote[1227].speaker |
SPEAKER_04 |
transcript.pyannote[1227].start |
23635.27409375 |
transcript.pyannote[1227].end |
23635.89846875 |
transcript.pyannote[1228].speaker |
SPEAKER_04 |
transcript.pyannote[1228].start |
23636.35409375 |
transcript.pyannote[1228].end |
23638.75034375 |
transcript.pyannote[1229].speaker |
SPEAKER_04 |
transcript.pyannote[1229].start |
23639.89784375 |
transcript.pyannote[1229].end |
23640.91034375 |
transcript.pyannote[1230].speaker |
SPEAKER_04 |
transcript.pyannote[1230].start |
23641.55159375 |
transcript.pyannote[1230].end |
23642.76659375 |
transcript.pyannote[1231].speaker |
SPEAKER_04 |
transcript.pyannote[1231].start |
23643.18846875 |
transcript.pyannote[1231].end |
23644.23471875 |
transcript.pyannote[1232].speaker |
SPEAKER_04 |
transcript.pyannote[1232].start |
23644.53846875 |
transcript.pyannote[1232].end |
23646.49596875 |
transcript.pyannote[1233].speaker |
SPEAKER_04 |
transcript.pyannote[1233].start |
23646.93471875 |
transcript.pyannote[1233].end |
23647.69409375 |
transcript.pyannote[1234].speaker |
SPEAKER_04 |
transcript.pyannote[1234].start |
23647.99784375 |
transcript.pyannote[1234].end |
23649.44909375 |
transcript.pyannote[1235].speaker |
SPEAKER_04 |
transcript.pyannote[1235].start |
23650.29284375 |
transcript.pyannote[1235].end |
23652.31784375 |
transcript.pyannote[1236].speaker |
SPEAKER_04 |
transcript.pyannote[1236].start |
23653.09409375 |
transcript.pyannote[1236].end |
23654.15721875 |
transcript.pyannote[1237].speaker |
SPEAKER_04 |
transcript.pyannote[1237].start |
23654.52846875 |
transcript.pyannote[1237].end |
23655.30471875 |
transcript.pyannote[1238].speaker |
SPEAKER_04 |
transcript.pyannote[1238].start |
23656.46909375 |
transcript.pyannote[1238].end |
23658.02159375 |
transcript.pyannote[1239].speaker |
SPEAKER_04 |
transcript.pyannote[1239].start |
23658.52784375 |
transcript.pyannote[1239].end |
23659.32096875 |
transcript.pyannote[1240].speaker |
SPEAKER_04 |
transcript.pyannote[1240].start |
23659.97909375 |
transcript.pyannote[1240].end |
23661.66659375 |
transcript.pyannote[1241].speaker |
SPEAKER_04 |
transcript.pyannote[1241].start |
23662.54409375 |
transcript.pyannote[1241].end |
23666.61096875 |
transcript.pyannote[1242].speaker |
SPEAKER_04 |
transcript.pyannote[1242].start |
23667.55596875 |
transcript.pyannote[1242].end |
23668.58534375 |
transcript.pyannote[1243].speaker |
SPEAKER_04 |
transcript.pyannote[1243].start |
23668.99034375 |
transcript.pyannote[1243].end |
23671.45409375 |
transcript.pyannote[1244].speaker |
SPEAKER_04 |
transcript.pyannote[1244].start |
23671.80846875 |
transcript.pyannote[1244].end |
23672.92221875 |
transcript.pyannote[1245].speaker |
SPEAKER_04 |
transcript.pyannote[1245].start |
23673.52971875 |
transcript.pyannote[1245].end |
23674.30596875 |
transcript.pyannote[1246].speaker |
SPEAKER_04 |
transcript.pyannote[1246].start |
23675.50409375 |
transcript.pyannote[1246].end |
23677.54596875 |
transcript.pyannote[1247].speaker |
SPEAKER_04 |
transcript.pyannote[1247].start |
23679.46971875 |
transcript.pyannote[1247].end |
23680.63409375 |
transcript.pyannote[1248].speaker |
SPEAKER_04 |
transcript.pyannote[1248].start |
23681.32596875 |
transcript.pyannote[1248].end |
23682.45659375 |
transcript.pyannote[1249].speaker |
SPEAKER_04 |
transcript.pyannote[1249].start |
23682.97971875 |
transcript.pyannote[1249].end |
23684.39721875 |
transcript.pyannote[1250].speaker |
SPEAKER_04 |
transcript.pyannote[1250].start |
23684.75159375 |
transcript.pyannote[1250].end |
23687.19846875 |
transcript.pyannote[1251].speaker |
SPEAKER_04 |
transcript.pyannote[1251].start |
23688.17721875 |
transcript.pyannote[1251].end |
23691.09659375 |
transcript.pyannote[1252].speaker |
SPEAKER_04 |
transcript.pyannote[1252].start |
23691.36659375 |
transcript.pyannote[1252].end |
23692.93596875 |
transcript.pyannote[1253].speaker |
SPEAKER_04 |
transcript.pyannote[1253].start |
23693.62784375 |
transcript.pyannote[1253].end |
23693.83034375 |
transcript.pyannote[1254].speaker |
SPEAKER_04 |
transcript.pyannote[1254].start |
23694.40409375 |
transcript.pyannote[1254].end |
23695.95659375 |
transcript.pyannote[1255].speaker |
SPEAKER_04 |
transcript.pyannote[1255].start |
23696.71596875 |
transcript.pyannote[1255].end |
23697.55971875 |
transcript.pyannote[1256].speaker |
SPEAKER_04 |
transcript.pyannote[1256].start |
23698.65659375 |
transcript.pyannote[1256].end |
23699.51721875 |
transcript.pyannote[1257].speaker |
SPEAKER_04 |
transcript.pyannote[1257].start |
23699.71971875 |
transcript.pyannote[1257].end |
23700.31034375 |
transcript.pyannote[1258].speaker |
SPEAKER_04 |
transcript.pyannote[1258].start |
23700.81659375 |
transcript.pyannote[1258].end |
23702.13284375 |
transcript.pyannote[1259].speaker |
SPEAKER_04 |
transcript.pyannote[1259].start |
23702.79096875 |
transcript.pyannote[1259].end |
23704.64721875 |
transcript.pyannote[1260].speaker |
SPEAKER_04 |
transcript.pyannote[1260].start |
23705.20409375 |
transcript.pyannote[1260].end |
23705.40659375 |
transcript.pyannote[1261].speaker |
SPEAKER_04 |
transcript.pyannote[1261].start |
23705.94659375 |
transcript.pyannote[1261].end |
23707.97159375 |
transcript.pyannote[1262].speaker |
SPEAKER_05 |
transcript.pyannote[1262].start |
23707.97159375 |
transcript.pyannote[1262].end |
23708.59596875 |
transcript.pyannote[1263].speaker |
SPEAKER_05 |
transcript.pyannote[1263].start |
23708.79846875 |
transcript.pyannote[1263].end |
23711.54909375 |
transcript.pyannote[1264].speaker |
SPEAKER_05 |
transcript.pyannote[1264].start |
23711.97096875 |
transcript.pyannote[1264].end |
23715.95346875 |
transcript.pyannote[1265].speaker |
SPEAKER_05 |
transcript.pyannote[1265].start |
23716.69596875 |
transcript.pyannote[1265].end |
23719.64909375 |
transcript.pyannote[1266].speaker |
SPEAKER_04 |
transcript.pyannote[1266].start |
23718.36659375 |
transcript.pyannote[1266].end |
23719.27784375 |
transcript.pyannote[1267].speaker |
SPEAKER_04 |
transcript.pyannote[1267].start |
23719.64909375 |
transcript.pyannote[1267].end |
23724.22221875 |
transcript.pyannote[1268].speaker |
SPEAKER_05 |
transcript.pyannote[1268].start |
23720.86409375 |
transcript.pyannote[1268].end |
23721.20159375 |
transcript.pyannote[1269].speaker |
SPEAKER_05 |
transcript.pyannote[1269].start |
23723.74971875 |
transcript.pyannote[1269].end |
23730.63471875 |
transcript.pyannote[1270].speaker |
SPEAKER_04 |
transcript.pyannote[1270].start |
23731.12409375 |
transcript.pyannote[1270].end |
23735.39346875 |
transcript.pyannote[1271].speaker |
SPEAKER_04 |
transcript.pyannote[1271].start |
23736.28784375 |
transcript.pyannote[1271].end |
23738.21159375 |
transcript.pyannote[1272].speaker |
SPEAKER_04 |
transcript.pyannote[1272].start |
23739.27471875 |
transcript.pyannote[1272].end |
23742.21096875 |
transcript.pyannote[1273].speaker |
SPEAKER_04 |
transcript.pyannote[1273].start |
23742.51471875 |
transcript.pyannote[1273].end |
23744.53971875 |
transcript.pyannote[1274].speaker |
SPEAKER_04 |
transcript.pyannote[1274].start |
23745.33284375 |
transcript.pyannote[1274].end |
23745.51846875 |
transcript.pyannote[1275].speaker |
SPEAKER_04 |
transcript.pyannote[1275].start |
23745.92346875 |
transcript.pyannote[1275].end |
23747.98221875 |
transcript.pyannote[1276].speaker |
SPEAKER_04 |
transcript.pyannote[1276].start |
23748.40409375 |
transcript.pyannote[1276].end |
23749.88909375 |
transcript.pyannote[1277].speaker |
SPEAKER_04 |
transcript.pyannote[1277].start |
23750.42909375 |
transcript.pyannote[1277].end |
23753.88846875 |
transcript.pyannote[1278].speaker |
SPEAKER_04 |
transcript.pyannote[1278].start |
23754.49596875 |
transcript.pyannote[1278].end |
23754.71534375 |
transcript.pyannote[1279].speaker |
SPEAKER_04 |
transcript.pyannote[1279].start |
23755.12034375 |
transcript.pyannote[1279].end |
23759.57534375 |
transcript.pyannote[1280].speaker |
SPEAKER_04 |
transcript.pyannote[1280].start |
23760.41909375 |
transcript.pyannote[1280].end |
23761.44846875 |
transcript.pyannote[1281].speaker |
SPEAKER_04 |
transcript.pyannote[1281].start |
23762.03909375 |
transcript.pyannote[1281].end |
23765.24534375 |
transcript.pyannote[1282].speaker |
SPEAKER_04 |
transcript.pyannote[1282].start |
23765.39721875 |
transcript.pyannote[1282].end |
23766.91596875 |
transcript.pyannote[1283].speaker |
SPEAKER_04 |
transcript.pyannote[1283].start |
23767.72596875 |
transcript.pyannote[1283].end |
23770.02096875 |
transcript.pyannote[1284].speaker |
SPEAKER_04 |
transcript.pyannote[1284].start |
23770.57784375 |
transcript.pyannote[1284].end |
23772.65346875 |
transcript.pyannote[1285].speaker |
SPEAKER_04 |
transcript.pyannote[1285].start |
23773.24409375 |
transcript.pyannote[1285].end |
23774.42534375 |
transcript.pyannote[1286].speaker |
SPEAKER_04 |
transcript.pyannote[1286].start |
23774.93159375 |
transcript.pyannote[1286].end |
23778.62721875 |
transcript.pyannote[1287].speaker |
SPEAKER_04 |
transcript.pyannote[1287].start |
23778.69471875 |
transcript.pyannote[1287].end |
23780.09534375 |
transcript.pyannote[1288].speaker |
SPEAKER_04 |
transcript.pyannote[1288].start |
23780.51721875 |
transcript.pyannote[1288].end |
23780.80409375 |
transcript.pyannote[1289].speaker |
SPEAKER_04 |
transcript.pyannote[1289].start |
23781.56346875 |
transcript.pyannote[1289].end |
23783.72346875 |
transcript.pyannote[1290].speaker |
SPEAKER_04 |
transcript.pyannote[1290].start |
23783.89221875 |
transcript.pyannote[1290].end |
23785.64721875 |
transcript.pyannote[1291].speaker |
SPEAKER_04 |
transcript.pyannote[1291].start |
23786.69346875 |
transcript.pyannote[1291].end |
23787.90846875 |
transcript.pyannote[1292].speaker |
SPEAKER_04 |
transcript.pyannote[1292].start |
23788.48221875 |
transcript.pyannote[1292].end |
23789.89971875 |
transcript.pyannote[1293].speaker |
SPEAKER_04 |
transcript.pyannote[1293].start |
23790.54096875 |
transcript.pyannote[1293].end |
23792.17784375 |
transcript.pyannote[1294].speaker |
SPEAKER_04 |
transcript.pyannote[1294].start |
23792.58284375 |
transcript.pyannote[1294].end |
23792.88659375 |
transcript.pyannote[1295].speaker |
SPEAKER_04 |
transcript.pyannote[1295].start |
23793.86534375 |
transcript.pyannote[1295].end |
23796.97034375 |
transcript.pyannote[1296].speaker |
SPEAKER_04 |
transcript.pyannote[1296].start |
23797.67909375 |
transcript.pyannote[1296].end |
23802.52221875 |
transcript.pyannote[1297].speaker |
SPEAKER_04 |
transcript.pyannote[1297].start |
23803.58534375 |
transcript.pyannote[1297].end |
23805.05346875 |
transcript.pyannote[1298].speaker |
SPEAKER_04 |
transcript.pyannote[1298].start |
23805.96471875 |
transcript.pyannote[1298].end |
23808.47909375 |
transcript.pyannote[1299].speaker |
SPEAKER_04 |
transcript.pyannote[1299].start |
23809.54221875 |
transcript.pyannote[1299].end |
23811.60096875 |
transcript.pyannote[1300].speaker |
SPEAKER_04 |
transcript.pyannote[1300].start |
23812.42784375 |
transcript.pyannote[1300].end |
23814.11534375 |
transcript.pyannote[1301].speaker |
SPEAKER_04 |
transcript.pyannote[1301].start |
23814.60471875 |
transcript.pyannote[1301].end |
23815.54971875 |
transcript.pyannote[1302].speaker |
SPEAKER_04 |
transcript.pyannote[1302].start |
23816.39346875 |
transcript.pyannote[1302].end |
23818.92471875 |
transcript.pyannote[1303].speaker |
SPEAKER_04 |
transcript.pyannote[1303].start |
23819.95409375 |
transcript.pyannote[1303].end |
23821.48971875 |
transcript.pyannote[1304].speaker |
SPEAKER_04 |
transcript.pyannote[1304].start |
23822.29971875 |
transcript.pyannote[1304].end |
23825.26971875 |
transcript.pyannote[1305].speaker |
SPEAKER_04 |
transcript.pyannote[1305].start |
23825.74221875 |
transcript.pyannote[1305].end |
23827.00784375 |
transcript.pyannote[1306].speaker |
SPEAKER_04 |
transcript.pyannote[1306].start |
23828.34096875 |
transcript.pyannote[1306].end |
23830.72034375 |
transcript.pyannote[1307].speaker |
SPEAKER_04 |
transcript.pyannote[1307].start |
23831.56409375 |
transcript.pyannote[1307].end |
23832.94784375 |
transcript.pyannote[1308].speaker |
SPEAKER_04 |
transcript.pyannote[1308].start |
23833.72409375 |
transcript.pyannote[1308].end |
23835.17534375 |
transcript.pyannote[1309].speaker |
SPEAKER_04 |
transcript.pyannote[1309].start |
23835.81659375 |
transcript.pyannote[1309].end |
23836.89659375 |
transcript.pyannote[1310].speaker |
SPEAKER_04 |
transcript.pyannote[1310].start |
23837.55471875 |
transcript.pyannote[1310].end |
23840.54159375 |
transcript.pyannote[1311].speaker |
SPEAKER_04 |
transcript.pyannote[1311].start |
23841.60471875 |
transcript.pyannote[1311].end |
23842.75221875 |
transcript.pyannote[1312].speaker |
SPEAKER_04 |
transcript.pyannote[1312].start |
23843.32596875 |
transcript.pyannote[1312].end |
23845.90784375 |
transcript.pyannote[1313].speaker |
SPEAKER_04 |
transcript.pyannote[1313].start |
23846.68409375 |
transcript.pyannote[1313].end |
23848.03409375 |
transcript.pyannote[1314].speaker |
SPEAKER_04 |
transcript.pyannote[1314].start |
23849.14784375 |
transcript.pyannote[1314].end |
23850.10971875 |
transcript.pyannote[1315].speaker |
SPEAKER_04 |
transcript.pyannote[1315].start |
23850.61596875 |
transcript.pyannote[1315].end |
23851.27409375 |
transcript.pyannote[1316].speaker |
SPEAKER_04 |
transcript.pyannote[1316].start |
23851.67909375 |
transcript.pyannote[1316].end |
23852.48909375 |
transcript.pyannote[1317].speaker |
SPEAKER_04 |
transcript.pyannote[1317].start |
23852.72534375 |
transcript.pyannote[1317].end |
23852.97846875 |
transcript.pyannote[1318].speaker |
SPEAKER_05 |
transcript.pyannote[1318].start |
23852.97846875 |
transcript.pyannote[1318].end |
23853.14721875 |
transcript.pyannote[1319].speaker |
SPEAKER_05 |
transcript.pyannote[1319].start |
23853.63659375 |
transcript.pyannote[1319].end |
23855.22284375 |
transcript.pyannote[1320].speaker |
SPEAKER_05 |
transcript.pyannote[1320].start |
23855.89784375 |
transcript.pyannote[1320].end |
23858.14221875 |
transcript.pyannote[1321].speaker |
SPEAKER_05 |
transcript.pyannote[1321].start |
23858.34471875 |
transcript.pyannote[1321].end |
23859.61034375 |
transcript.pyannote[1322].speaker |
SPEAKER_05 |
transcript.pyannote[1322].start |
23859.99846875 |
transcript.pyannote[1322].end |
23861.51721875 |
transcript.pyannote[1323].speaker |
SPEAKER_05 |
transcript.pyannote[1323].start |
23861.93909375 |
transcript.pyannote[1323].end |
23864.21721875 |
transcript.pyannote[1324].speaker |
SPEAKER_05 |
transcript.pyannote[1324].start |
23864.36909375 |
transcript.pyannote[1324].end |
23865.29721875 |
transcript.pyannote[1325].speaker |
SPEAKER_05 |
transcript.pyannote[1325].start |
23866.02284375 |
transcript.pyannote[1325].end |
23868.95909375 |
transcript.pyannote[1326].speaker |
SPEAKER_05 |
transcript.pyannote[1326].start |
23869.31346875 |
transcript.pyannote[1326].end |
23873.29596875 |
transcript.pyannote[1327].speaker |
SPEAKER_05 |
transcript.pyannote[1327].start |
23873.85284375 |
transcript.pyannote[1327].end |
23876.60346875 |
transcript.pyannote[1328].speaker |
SPEAKER_05 |
transcript.pyannote[1328].start |
23876.97471875 |
transcript.pyannote[1328].end |
23877.83534375 |
transcript.pyannote[1329].speaker |
SPEAKER_05 |
transcript.pyannote[1329].start |
23878.25721875 |
transcript.pyannote[1329].end |
23892.02721875 |
transcript.pyannote[1330].speaker |
SPEAKER_04 |
transcript.pyannote[1330].start |
23892.02721875 |
transcript.pyannote[1330].end |
23895.14909375 |
transcript.pyannote[1331].speaker |
SPEAKER_04 |
transcript.pyannote[1331].start |
23895.26721875 |
transcript.pyannote[1331].end |
23897.10659375 |
transcript.pyannote[1332].speaker |
SPEAKER_04 |
transcript.pyannote[1332].start |
23897.69721875 |
transcript.pyannote[1332].end |
23902.11846875 |
transcript.pyannote[1333].speaker |
SPEAKER_04 |
transcript.pyannote[1333].start |
23902.28721875 |
transcript.pyannote[1333].end |
23902.72596875 |
transcript.pyannote[1334].speaker |
SPEAKER_04 |
transcript.pyannote[1334].start |
23902.92846875 |
transcript.pyannote[1334].end |
23905.17284375 |
transcript.pyannote[1335].speaker |
SPEAKER_04 |
transcript.pyannote[1335].start |
23905.52721875 |
transcript.pyannote[1335].end |
23907.51846875 |
transcript.pyannote[1336].speaker |
SPEAKER_04 |
transcript.pyannote[1336].start |
23907.95721875 |
transcript.pyannote[1336].end |
23912.83409375 |
transcript.pyannote[1337].speaker |
SPEAKER_04 |
transcript.pyannote[1337].start |
23913.37409375 |
transcript.pyannote[1337].end |
23920.24221875 |
transcript.pyannote[1338].speaker |
SPEAKER_04 |
transcript.pyannote[1338].start |
23920.79909375 |
transcript.pyannote[1338].end |
23922.16596875 |
transcript.pyannote[1339].speaker |
SPEAKER_04 |
transcript.pyannote[1339].start |
23922.26721875 |
transcript.pyannote[1339].end |
23923.33034375 |
transcript.pyannote[1340].speaker |
SPEAKER_04 |
transcript.pyannote[1340].start |
23923.78596875 |
transcript.pyannote[1340].end |
23926.28346875 |
transcript.pyannote[1341].speaker |
SPEAKER_04 |
transcript.pyannote[1341].start |
23926.62096875 |
transcript.pyannote[1341].end |
23927.59971875 |
transcript.pyannote[1342].speaker |
SPEAKER_05 |
transcript.pyannote[1342].start |
23927.59971875 |
transcript.pyannote[1342].end |
23927.70096875 |
transcript.pyannote[1343].speaker |
SPEAKER_05 |
transcript.pyannote[1343].start |
23927.78534375 |
transcript.pyannote[1343].end |
23927.83596875 |
transcript.pyannote[1344].speaker |
SPEAKER_25 |
transcript.pyannote[1344].start |
23927.83596875 |
transcript.pyannote[1344].end |
23928.98346875 |
transcript.pyannote[1345].speaker |
SPEAKER_05 |
transcript.pyannote[1345].start |
23927.95409375 |
transcript.pyannote[1345].end |
23931.63284375 |
transcript.pyannote[1346].speaker |
SPEAKER_05 |
transcript.pyannote[1346].start |
23931.98721875 |
transcript.pyannote[1346].end |
23939.41221875 |
transcript.pyannote[1347].speaker |
SPEAKER_04 |
transcript.pyannote[1347].start |
23938.34909375 |
transcript.pyannote[1347].end |
23940.55971875 |
transcript.pyannote[1348].speaker |
SPEAKER_04 |
transcript.pyannote[1348].start |
23941.87596875 |
transcript.pyannote[1348].end |
23944.67721875 |
transcript.pyannote[1349].speaker |
SPEAKER_04 |
transcript.pyannote[1349].start |
23945.35221875 |
transcript.pyannote[1349].end |
23946.73596875 |
transcript.pyannote[1350].speaker |
SPEAKER_04 |
transcript.pyannote[1350].start |
23947.02284375 |
transcript.pyannote[1350].end |
23949.03096875 |
transcript.pyannote[1351].speaker |
SPEAKER_04 |
transcript.pyannote[1351].start |
23949.87471875 |
transcript.pyannote[1351].end |
23953.89096875 |
transcript.pyannote[1352].speaker |
SPEAKER_17 |
transcript.pyannote[1352].start |
23952.82784375 |
transcript.pyannote[1352].end |
23953.19909375 |
transcript.pyannote[1353].speaker |
SPEAKER_04 |
transcript.pyannote[1353].start |
23954.22846875 |
transcript.pyannote[1353].end |
23956.30409375 |
transcript.pyannote[1354].speaker |
SPEAKER_04 |
transcript.pyannote[1354].start |
23956.86096875 |
transcript.pyannote[1354].end |
23957.77221875 |
transcript.pyannote[1355].speaker |
SPEAKER_04 |
transcript.pyannote[1355].start |
23958.21096875 |
transcript.pyannote[1355].end |
23959.13909375 |
transcript.pyannote[1356].speaker |
SPEAKER_04 |
transcript.pyannote[1356].start |
23959.52721875 |
transcript.pyannote[1356].end |
23960.80971875 |
transcript.pyannote[1357].speaker |
SPEAKER_04 |
transcript.pyannote[1357].start |
23961.26534375 |
transcript.pyannote[1357].end |
23961.55221875 |
transcript.pyannote[1358].speaker |
SPEAKER_04 |
transcript.pyannote[1358].start |
23962.31159375 |
transcript.pyannote[1358].end |
23963.35784375 |
transcript.pyannote[1359].speaker |
SPEAKER_04 |
transcript.pyannote[1359].start |
23963.79659375 |
transcript.pyannote[1359].end |
23964.38721875 |
transcript.pyannote[1360].speaker |
SPEAKER_04 |
transcript.pyannote[1360].start |
23964.82596875 |
transcript.pyannote[1360].end |
23964.99471875 |
transcript.pyannote[1361].speaker |
SPEAKER_04 |
transcript.pyannote[1361].start |
23965.39971875 |
transcript.pyannote[1361].end |
23966.17596875 |
transcript.pyannote[1362].speaker |
SPEAKER_04 |
transcript.pyannote[1362].start |
23967.17159375 |
transcript.pyannote[1362].end |
23969.21346875 |
transcript.pyannote[1363].speaker |
SPEAKER_04 |
transcript.pyannote[1363].start |
23969.41596875 |
transcript.pyannote[1363].end |
23970.78284375 |
transcript.pyannote[1364].speaker |
SPEAKER_04 |
transcript.pyannote[1364].start |
23971.08659375 |
transcript.pyannote[1364].end |
23974.64721875 |
transcript.pyannote[1365].speaker |
SPEAKER_04 |
transcript.pyannote[1365].start |
23975.30534375 |
transcript.pyannote[1365].end |
23976.03096875 |
transcript.pyannote[1366].speaker |
SPEAKER_04 |
transcript.pyannote[1366].start |
23976.67221875 |
transcript.pyannote[1366].end |
23978.56221875 |
transcript.pyannote[1367].speaker |
SPEAKER_04 |
transcript.pyannote[1367].start |
23978.96721875 |
transcript.pyannote[1367].end |
23980.33409375 |
transcript.pyannote[1368].speaker |
SPEAKER_04 |
transcript.pyannote[1368].start |
23981.31284375 |
transcript.pyannote[1368].end |
23982.74721875 |
transcript.pyannote[1369].speaker |
SPEAKER_04 |
transcript.pyannote[1369].start |
23983.86096875 |
transcript.pyannote[1369].end |
23988.75471875 |
transcript.pyannote[1370].speaker |
SPEAKER_04 |
transcript.pyannote[1370].start |
23989.56471875 |
transcript.pyannote[1370].end |
23991.91034375 |
transcript.pyannote[1371].speaker |
SPEAKER_04 |
transcript.pyannote[1371].start |
23992.26471875 |
transcript.pyannote[1371].end |
23996.97284375 |
transcript.pyannote[1372].speaker |
SPEAKER_04 |
transcript.pyannote[1372].start |
23997.34409375 |
transcript.pyannote[1372].end |
23998.79534375 |
transcript.pyannote[1373].speaker |
SPEAKER_04 |
transcript.pyannote[1373].start |
23999.25096875 |
transcript.pyannote[1373].end |
23999.85846875 |
transcript.pyannote[1374].speaker |
SPEAKER_04 |
transcript.pyannote[1374].start |
24000.60096875 |
transcript.pyannote[1374].end |
24001.07346875 |
transcript.pyannote[1375].speaker |
SPEAKER_04 |
transcript.pyannote[1375].start |
24001.54596875 |
transcript.pyannote[1375].end |
24002.89596875 |
transcript.pyannote[1376].speaker |
SPEAKER_04 |
transcript.pyannote[1376].start |
24003.52034375 |
transcript.pyannote[1376].end |
24004.07721875 |
transcript.pyannote[1377].speaker |
SPEAKER_04 |
transcript.pyannote[1377].start |
24004.54971875 |
transcript.pyannote[1377].end |
24007.33409375 |
transcript.pyannote[1378].speaker |
SPEAKER_04 |
transcript.pyannote[1378].start |
24007.95846875 |
transcript.pyannote[1378].end |
24011.02971875 |
transcript.pyannote[1379].speaker |
SPEAKER_04 |
transcript.pyannote[1379].start |
24012.05909375 |
transcript.pyannote[1379].end |
24013.89846875 |
transcript.pyannote[1380].speaker |
SPEAKER_04 |
transcript.pyannote[1380].start |
24014.67471875 |
transcript.pyannote[1380].end |
24015.73784375 |
transcript.pyannote[1381].speaker |
SPEAKER_04 |
transcript.pyannote[1381].start |
24017.10471875 |
transcript.pyannote[1381].end |
24018.77534375 |
transcript.pyannote[1382].speaker |
SPEAKER_04 |
transcript.pyannote[1382].start |
24019.26471875 |
transcript.pyannote[1382].end |
24019.92284375 |
transcript.pyannote[1383].speaker |
SPEAKER_04 |
transcript.pyannote[1383].start |
24020.34471875 |
transcript.pyannote[1383].end |
24021.42471875 |
transcript.pyannote[1384].speaker |
SPEAKER_04 |
transcript.pyannote[1384].start |
24022.09971875 |
transcript.pyannote[1384].end |
24024.37784375 |
transcript.pyannote[1385].speaker |
SPEAKER_25 |
transcript.pyannote[1385].start |
24024.51284375 |
transcript.pyannote[1385].end |
24024.81659375 |
transcript.pyannote[1386].speaker |
SPEAKER_04 |
transcript.pyannote[1386].start |
24025.13721875 |
transcript.pyannote[1386].end |
24025.30596875 |
transcript.pyannote[1387].speaker |
SPEAKER_04 |
transcript.pyannote[1387].start |
24025.49159375 |
transcript.pyannote[1387].end |
24026.45346875 |
transcript.pyannote[1388].speaker |
SPEAKER_04 |
transcript.pyannote[1388].start |
24026.58846875 |
transcript.pyannote[1388].end |
24028.93409375 |
transcript.pyannote[1389].speaker |
SPEAKER_04 |
transcript.pyannote[1389].start |
24029.23784375 |
transcript.pyannote[1389].end |
24030.16596875 |
transcript.pyannote[1390].speaker |
SPEAKER_04 |
transcript.pyannote[1390].start |
24030.73971875 |
transcript.pyannote[1390].end |
24032.03909375 |
transcript.pyannote[1391].speaker |
SPEAKER_04 |
transcript.pyannote[1391].start |
24032.59596875 |
transcript.pyannote[1391].end |
24034.67159375 |
transcript.pyannote[1392].speaker |
SPEAKER_04 |
transcript.pyannote[1392].start |
24035.34659375 |
transcript.pyannote[1392].end |
24036.73034375 |
transcript.pyannote[1393].speaker |
SPEAKER_04 |
transcript.pyannote[1393].start |
24037.13534375 |
transcript.pyannote[1393].end |
24037.91159375 |
transcript.pyannote[1394].speaker |
SPEAKER_04 |
transcript.pyannote[1394].start |
24038.45159375 |
transcript.pyannote[1394].end |
24041.03346875 |
transcript.pyannote[1395].speaker |
SPEAKER_05 |
transcript.pyannote[1395].start |
24040.56096875 |
transcript.pyannote[1395].end |
24041.97846875 |
transcript.pyannote[1396].speaker |
SPEAKER_05 |
transcript.pyannote[1396].start |
24042.13034375 |
transcript.pyannote[1396].end |
24044.13846875 |
transcript.pyannote[1397].speaker |
SPEAKER_05 |
transcript.pyannote[1397].start |
24044.50971875 |
transcript.pyannote[1397].end |
24046.38284375 |
transcript.pyannote[1398].speaker |
SPEAKER_05 |
transcript.pyannote[1398].start |
24046.87221875 |
transcript.pyannote[1398].end |
24048.32346875 |
transcript.pyannote[1399].speaker |
SPEAKER_05 |
transcript.pyannote[1399].start |
24048.82971875 |
transcript.pyannote[1399].end |
24050.17971875 |
transcript.pyannote[1400].speaker |
SPEAKER_05 |
transcript.pyannote[1400].start |
24050.55096875 |
transcript.pyannote[1400].end |
24052.55909375 |
transcript.pyannote[1401].speaker |
SPEAKER_05 |
transcript.pyannote[1401].start |
24052.93034375 |
transcript.pyannote[1401].end |
24056.50784375 |
transcript.pyannote[1402].speaker |
SPEAKER_05 |
transcript.pyannote[1402].start |
24056.79471875 |
transcript.pyannote[1402].end |
24060.87846875 |
transcript.pyannote[1403].speaker |
SPEAKER_04 |
transcript.pyannote[1403].start |
24061.62096875 |
transcript.pyannote[1403].end |
24065.89034375 |
transcript.pyannote[1404].speaker |
SPEAKER_04 |
transcript.pyannote[1404].start |
24066.49784375 |
transcript.pyannote[1404].end |
24070.29471875 |
transcript.pyannote[1405].speaker |
SPEAKER_04 |
transcript.pyannote[1405].start |
24070.75034375 |
transcript.pyannote[1405].end |
24071.77971875 |
transcript.pyannote[1406].speaker |
SPEAKER_04 |
transcript.pyannote[1406].start |
24072.25221875 |
transcript.pyannote[1406].end |
24073.82159375 |
transcript.pyannote[1407].speaker |
SPEAKER_04 |
transcript.pyannote[1407].start |
24073.99034375 |
transcript.pyannote[1407].end |
24075.45846875 |
transcript.pyannote[1408].speaker |
SPEAKER_04 |
transcript.pyannote[1408].start |
24076.08284375 |
transcript.pyannote[1408].end |
24077.01096875 |
transcript.pyannote[1409].speaker |
SPEAKER_04 |
transcript.pyannote[1409].start |
24077.48346875 |
transcript.pyannote[1409].end |
24077.71971875 |
transcript.pyannote[1410].speaker |
SPEAKER_04 |
transcript.pyannote[1410].start |
24078.27659375 |
transcript.pyannote[1410].end |
24079.44096875 |
transcript.pyannote[1411].speaker |
SPEAKER_04 |
transcript.pyannote[1411].start |
24080.16659375 |
transcript.pyannote[1411].end |
24083.99721875 |
transcript.pyannote[1412].speaker |
SPEAKER_04 |
transcript.pyannote[1412].start |
24084.11534375 |
transcript.pyannote[1412].end |
24085.53284375 |
transcript.pyannote[1413].speaker |
SPEAKER_04 |
transcript.pyannote[1413].start |
24086.22471875 |
transcript.pyannote[1413].end |
24089.12721875 |
transcript.pyannote[1414].speaker |
SPEAKER_04 |
transcript.pyannote[1414].start |
24089.36346875 |
transcript.pyannote[1414].end |
24091.01721875 |
transcript.pyannote[1415].speaker |
SPEAKER_04 |
transcript.pyannote[1415].start |
24091.50659375 |
transcript.pyannote[1415].end |
24094.18971875 |
transcript.pyannote[1416].speaker |
SPEAKER_04 |
transcript.pyannote[1416].start |
24094.59471875 |
transcript.pyannote[1416].end |
24095.92784375 |
transcript.pyannote[1417].speaker |
SPEAKER_04 |
transcript.pyannote[1417].start |
24096.94034375 |
transcript.pyannote[1417].end |
24098.81346875 |
transcript.pyannote[1418].speaker |
SPEAKER_04 |
transcript.pyannote[1418].start |
24099.08346875 |
transcript.pyannote[1418].end |
24100.41659375 |
transcript.pyannote[1419].speaker |
SPEAKER_04 |
transcript.pyannote[1419].start |
24101.27721875 |
transcript.pyannote[1419].end |
24102.22221875 |
transcript.pyannote[1420].speaker |
SPEAKER_04 |
transcript.pyannote[1420].start |
24102.54284375 |
transcript.pyannote[1420].end |
24111.58784375 |
transcript.pyannote[1421].speaker |
SPEAKER_04 |
transcript.pyannote[1421].start |
24112.19534375 |
transcript.pyannote[1421].end |
24114.79409375 |
transcript.pyannote[1422].speaker |
SPEAKER_04 |
transcript.pyannote[1422].start |
24115.18221875 |
transcript.pyannote[1422].end |
24116.49846875 |
transcript.pyannote[1423].speaker |
SPEAKER_04 |
transcript.pyannote[1423].start |
24118.37159375 |
transcript.pyannote[1423].end |
24119.60346875 |
transcript.pyannote[1424].speaker |
SPEAKER_04 |
transcript.pyannote[1424].start |
24119.80596875 |
transcript.pyannote[1424].end |
24125.47596875 |
transcript.pyannote[1425].speaker |
SPEAKER_04 |
transcript.pyannote[1425].start |
24125.84721875 |
transcript.pyannote[1425].end |
24126.13409375 |
transcript.pyannote[1426].speaker |
SPEAKER_04 |
transcript.pyannote[1426].start |
24126.97784375 |
transcript.pyannote[1426].end |
24129.10409375 |
transcript.pyannote[1427].speaker |
SPEAKER_04 |
transcript.pyannote[1427].start |
24129.81284375 |
transcript.pyannote[1427].end |
24130.87596875 |
transcript.pyannote[1428].speaker |
SPEAKER_04 |
transcript.pyannote[1428].start |
24131.50034375 |
transcript.pyannote[1428].end |
24137.60909375 |
transcript.pyannote[1429].speaker |
SPEAKER_04 |
transcript.pyannote[1429].start |
24138.57096875 |
transcript.pyannote[1429].end |
24139.90409375 |
transcript.pyannote[1430].speaker |
SPEAKER_04 |
transcript.pyannote[1430].start |
24140.22471875 |
transcript.pyannote[1430].end |
24141.47346875 |
transcript.pyannote[1431].speaker |
SPEAKER_04 |
transcript.pyannote[1431].start |
24142.16534375 |
transcript.pyannote[1431].end |
24145.92846875 |
transcript.pyannote[1432].speaker |
SPEAKER_04 |
transcript.pyannote[1432].start |
24146.53596875 |
transcript.pyannote[1432].end |
24149.75909375 |
transcript.pyannote[1433].speaker |
SPEAKER_04 |
transcript.pyannote[1433].start |
24150.33284375 |
transcript.pyannote[1433].end |
24153.11721875 |
transcript.pyannote[1434].speaker |
SPEAKER_04 |
transcript.pyannote[1434].start |
24153.69096875 |
transcript.pyannote[1434].end |
24156.28971875 |
transcript.pyannote[1435].speaker |
SPEAKER_04 |
transcript.pyannote[1435].start |
24156.76221875 |
transcript.pyannote[1435].end |
24158.83784375 |
transcript.pyannote[1436].speaker |
SPEAKER_04 |
transcript.pyannote[1436].start |
24160.05284375 |
transcript.pyannote[1436].end |
24161.31846875 |
transcript.pyannote[1437].speaker |
SPEAKER_04 |
transcript.pyannote[1437].start |
24162.29721875 |
transcript.pyannote[1437].end |
24164.50784375 |
transcript.pyannote[1438].speaker |
SPEAKER_04 |
transcript.pyannote[1438].start |
24165.52034375 |
transcript.pyannote[1438].end |
24168.15284375 |
transcript.pyannote[1439].speaker |
SPEAKER_04 |
transcript.pyannote[1439].start |
24168.76034375 |
transcript.pyannote[1439].end |
24171.69659375 |
transcript.pyannote[1440].speaker |
SPEAKER_04 |
transcript.pyannote[1440].start |
24171.88221875 |
transcript.pyannote[1440].end |
24173.33346875 |
transcript.pyannote[1441].speaker |
SPEAKER_04 |
transcript.pyannote[1441].start |
24174.07596875 |
transcript.pyannote[1441].end |
24175.08846875 |
transcript.pyannote[1442].speaker |
SPEAKER_04 |
transcript.pyannote[1442].start |
24175.27409375 |
transcript.pyannote[1442].end |
24176.32034375 |
transcript.pyannote[1443].speaker |
SPEAKER_04 |
transcript.pyannote[1443].start |
24177.68721875 |
transcript.pyannote[1443].end |
24178.66596875 |
transcript.pyannote[1444].speaker |
SPEAKER_04 |
transcript.pyannote[1444].start |
24179.88096875 |
transcript.pyannote[1444].end |
24182.27721875 |
transcript.pyannote[1445].speaker |
SPEAKER_04 |
transcript.pyannote[1445].start |
24183.23909375 |
transcript.pyannote[1445].end |
24184.92659375 |
transcript.pyannote[1446].speaker |
SPEAKER_04 |
transcript.pyannote[1446].start |
24185.34846875 |
transcript.pyannote[1446].end |
24187.69409375 |
transcript.pyannote[1447].speaker |
SPEAKER_04 |
transcript.pyannote[1447].start |
24188.84159375 |
transcript.pyannote[1447].end |
24189.78659375 |
transcript.pyannote[1448].speaker |
SPEAKER_04 |
transcript.pyannote[1448].start |
24190.47846875 |
transcript.pyannote[1448].end |
24192.16596875 |
transcript.pyannote[1449].speaker |
SPEAKER_04 |
transcript.pyannote[1449].start |
24193.54971875 |
transcript.pyannote[1449].end |
24194.12346875 |
transcript.pyannote[1450].speaker |
SPEAKER_04 |
transcript.pyannote[1450].start |
24194.71409375 |
transcript.pyannote[1450].end |
24195.82784375 |
transcript.pyannote[1451].speaker |
SPEAKER_04 |
transcript.pyannote[1451].start |
24196.31721875 |
transcript.pyannote[1451].end |
24198.03846875 |
transcript.pyannote[1452].speaker |
SPEAKER_04 |
transcript.pyannote[1452].start |
24198.91596875 |
transcript.pyannote[1452].end |
24201.24471875 |
transcript.pyannote[1453].speaker |
SPEAKER_04 |
transcript.pyannote[1453].start |
24201.83534375 |
transcript.pyannote[1453].end |
24202.64534375 |
transcript.pyannote[1454].speaker |
SPEAKER_04 |
transcript.pyannote[1454].start |
24202.86471875 |
transcript.pyannote[1454].end |
24204.90659375 |
transcript.pyannote[1455].speaker |
SPEAKER_04 |
transcript.pyannote[1455].start |
24206.27346875 |
transcript.pyannote[1455].end |
24209.17596875 |
transcript.pyannote[1456].speaker |
SPEAKER_04 |
transcript.pyannote[1456].start |
24209.49659375 |
transcript.pyannote[1456].end |
24210.79596875 |
transcript.pyannote[1457].speaker |
SPEAKER_04 |
transcript.pyannote[1457].start |
24210.96471875 |
transcript.pyannote[1457].end |
24212.41596875 |
transcript.pyannote[1458].speaker |
SPEAKER_04 |
transcript.pyannote[1458].start |
24212.95596875 |
transcript.pyannote[1458].end |
24213.74909375 |
transcript.pyannote[1459].speaker |
SPEAKER_04 |
transcript.pyannote[1459].start |
24214.35659375 |
transcript.pyannote[1459].end |
24215.01471875 |
transcript.pyannote[1460].speaker |
SPEAKER_04 |
transcript.pyannote[1460].start |
24216.78659375 |
transcript.pyannote[1460].end |
24218.35596875 |
transcript.pyannote[1461].speaker |
SPEAKER_04 |
transcript.pyannote[1461].start |
24219.46971875 |
transcript.pyannote[1461].end |
24221.25846875 |
transcript.pyannote[1462].speaker |
SPEAKER_04 |
transcript.pyannote[1462].start |
24221.96721875 |
transcript.pyannote[1462].end |
24223.04721875 |
transcript.pyannote[1463].speaker |
SPEAKER_04 |
transcript.pyannote[1463].start |
24224.16096875 |
transcript.pyannote[1463].end |
24225.81471875 |
transcript.pyannote[1464].speaker |
SPEAKER_04 |
transcript.pyannote[1464].start |
24225.96659375 |
transcript.pyannote[1464].end |
24228.07596875 |
transcript.pyannote[1465].speaker |
SPEAKER_04 |
transcript.pyannote[1465].start |
24228.68346875 |
transcript.pyannote[1465].end |
24232.14284375 |
transcript.pyannote[1466].speaker |
SPEAKER_04 |
transcript.pyannote[1466].start |
24232.86846875 |
transcript.pyannote[1466].end |
24235.97346875 |
transcript.pyannote[1467].speaker |
SPEAKER_04 |
transcript.pyannote[1467].start |
24236.32784375 |
transcript.pyannote[1467].end |
24237.55971875 |
transcript.pyannote[1468].speaker |
SPEAKER_04 |
transcript.pyannote[1468].start |
24238.74096875 |
transcript.pyannote[1468].end |
24240.47909375 |
transcript.pyannote[1469].speaker |
SPEAKER_04 |
transcript.pyannote[1469].start |
24241.50846875 |
transcript.pyannote[1469].end |
24244.49534375 |
transcript.pyannote[1470].speaker |
SPEAKER_04 |
transcript.pyannote[1470].start |
24245.01846875 |
transcript.pyannote[1470].end |
24249.97971875 |
transcript.pyannote[1471].speaker |
SPEAKER_04 |
transcript.pyannote[1471].start |
24250.48596875 |
transcript.pyannote[1471].end |
24251.02596875 |
transcript.pyannote[1472].speaker |
SPEAKER_04 |
transcript.pyannote[1472].start |
24251.41409375 |
transcript.pyannote[1472].end |
24252.13971875 |
transcript.pyannote[1473].speaker |
SPEAKER_04 |
transcript.pyannote[1473].start |
24252.37596875 |
transcript.pyannote[1473].end |
24256.05471875 |
transcript.pyannote[1474].speaker |
SPEAKER_04 |
transcript.pyannote[1474].start |
24257.38784375 |
transcript.pyannote[1474].end |
24259.02471875 |
transcript.pyannote[1475].speaker |
SPEAKER_04 |
transcript.pyannote[1475].start |
24259.32846875 |
transcript.pyannote[1475].end |
24260.81346875 |
transcript.pyannote[1476].speaker |
SPEAKER_04 |
transcript.pyannote[1476].start |
24261.08346875 |
transcript.pyannote[1476].end |
24262.70346875 |
transcript.pyannote[1477].speaker |
SPEAKER_04 |
transcript.pyannote[1477].start |
24263.83409375 |
transcript.pyannote[1477].end |
24264.49221875 |
transcript.pyannote[1478].speaker |
SPEAKER_05 |
transcript.pyannote[1478].start |
24265.62284375 |
transcript.pyannote[1478].end |
24270.38159375 |
transcript.pyannote[1479].speaker |
SPEAKER_05 |
transcript.pyannote[1479].start |
24270.73596875 |
transcript.pyannote[1479].end |
24290.68221875 |
transcript.pyannote[1480].speaker |
SPEAKER_04 |
transcript.pyannote[1480].start |
24273.97596875 |
transcript.pyannote[1480].end |
24275.12346875 |
transcript.pyannote[1481].speaker |
SPEAKER_04 |
transcript.pyannote[1481].start |
24281.14784375 |
transcript.pyannote[1481].end |
24282.56534375 |
transcript.pyannote[1482].speaker |
SPEAKER_04 |
transcript.pyannote[1482].start |
24286.69971875 |
transcript.pyannote[1482].end |
24287.20596875 |
transcript.pyannote[1483].speaker |
SPEAKER_04 |
transcript.pyannote[1483].start |
24287.98221875 |
transcript.pyannote[1483].end |
24288.74159375 |
transcript.pyannote[1484].speaker |
SPEAKER_04 |
transcript.pyannote[1484].start |
24289.02846875 |
transcript.pyannote[1484].end |
24292.65659375 |
transcript.pyannote[1485].speaker |
SPEAKER_04 |
transcript.pyannote[1485].start |
24293.19659375 |
transcript.pyannote[1485].end |
24295.87971875 |
transcript.pyannote[1486].speaker |
SPEAKER_04 |
transcript.pyannote[1486].start |
24296.21721875 |
transcript.pyannote[1486].end |
24300.46971875 |
transcript.pyannote[1487].speaker |
SPEAKER_04 |
transcript.pyannote[1487].start |
24300.67221875 |
transcript.pyannote[1487].end |
24301.93784375 |
transcript.pyannote[1488].speaker |
SPEAKER_04 |
transcript.pyannote[1488].start |
24302.42721875 |
transcript.pyannote[1488].end |
24302.59596875 |
transcript.pyannote[1489].speaker |
SPEAKER_04 |
transcript.pyannote[1489].start |
24303.03471875 |
transcript.pyannote[1489].end |
24305.65034375 |
transcript.pyannote[1490].speaker |
SPEAKER_04 |
transcript.pyannote[1490].start |
24306.24096875 |
transcript.pyannote[1490].end |
24307.37159375 |
transcript.pyannote[1491].speaker |
SPEAKER_04 |
transcript.pyannote[1491].start |
24307.89471875 |
transcript.pyannote[1491].end |
24308.14784375 |
transcript.pyannote[1492].speaker |
SPEAKER_04 |
transcript.pyannote[1492].start |
24308.50221875 |
transcript.pyannote[1492].end |
24309.88596875 |
transcript.pyannote[1493].speaker |
SPEAKER_04 |
transcript.pyannote[1493].start |
24310.10534375 |
transcript.pyannote[1493].end |
24311.33721875 |
transcript.pyannote[1494].speaker |
SPEAKER_04 |
transcript.pyannote[1494].start |
24312.85596875 |
transcript.pyannote[1494].end |
24314.00346875 |
transcript.pyannote[1495].speaker |
SPEAKER_04 |
transcript.pyannote[1495].start |
24314.44221875 |
transcript.pyannote[1495].end |
24314.84721875 |
transcript.pyannote[1496].speaker |
SPEAKER_04 |
transcript.pyannote[1496].start |
24315.57284375 |
transcript.pyannote[1496].end |
24318.00284375 |
transcript.pyannote[1497].speaker |
SPEAKER_04 |
transcript.pyannote[1497].start |
24318.37409375 |
transcript.pyannote[1497].end |
24319.43721875 |
transcript.pyannote[1498].speaker |
SPEAKER_04 |
transcript.pyannote[1498].start |
24319.72409375 |
transcript.pyannote[1498].end |
24322.55909375 |
transcript.pyannote[1499].speaker |
SPEAKER_04 |
transcript.pyannote[1499].start |
24323.09909375 |
transcript.pyannote[1499].end |
24325.51221875 |
transcript.pyannote[1500].speaker |
SPEAKER_04 |
transcript.pyannote[1500].start |
24326.08596875 |
transcript.pyannote[1500].end |
24332.86971875 |
transcript.pyannote[1501].speaker |
SPEAKER_04 |
transcript.pyannote[1501].start |
24333.25784375 |
transcript.pyannote[1501].end |
24334.32096875 |
transcript.pyannote[1502].speaker |
SPEAKER_04 |
transcript.pyannote[1502].start |
24334.67534375 |
transcript.pyannote[1502].end |
24336.59909375 |
transcript.pyannote[1503].speaker |
SPEAKER_04 |
transcript.pyannote[1503].start |
24337.24034375 |
transcript.pyannote[1503].end |
24347.38221875 |
transcript.pyannote[1504].speaker |
SPEAKER_04 |
transcript.pyannote[1504].start |
24347.71971875 |
transcript.pyannote[1504].end |
24349.64346875 |
transcript.pyannote[1505].speaker |
SPEAKER_04 |
transcript.pyannote[1505].start |
24349.93034375 |
transcript.pyannote[1505].end |
24353.44034375 |
transcript.pyannote[1506].speaker |
SPEAKER_04 |
transcript.pyannote[1506].start |
24353.65971875 |
transcript.pyannote[1506].end |
24353.69346875 |
transcript.pyannote[1507].speaker |
SPEAKER_05 |
transcript.pyannote[1507].start |
24353.69346875 |
transcript.pyannote[1507].end |
24360.13971875 |
transcript.pyannote[1508].speaker |
SPEAKER_05 |
transcript.pyannote[1508].start |
24360.39284375 |
transcript.pyannote[1508].end |
24365.92784375 |
transcript.pyannote[1509].speaker |
SPEAKER_05 |
transcript.pyannote[1509].start |
24366.04596875 |
transcript.pyannote[1509].end |
24368.45909375 |
transcript.pyannote[1510].speaker |
SPEAKER_05 |
transcript.pyannote[1510].start |
24368.71221875 |
transcript.pyannote[1510].end |
24372.27284375 |
transcript.pyannote[1511].speaker |
SPEAKER_04 |
transcript.pyannote[1511].start |
24371.56409375 |
transcript.pyannote[1511].end |
24372.01971875 |
transcript.pyannote[1512].speaker |
SPEAKER_04 |
transcript.pyannote[1512].start |
24372.82971875 |
transcript.pyannote[1512].end |
24372.84659375 |
transcript.pyannote[1513].speaker |
SPEAKER_05 |
transcript.pyannote[1513].start |
24372.84659375 |
transcript.pyannote[1513].end |
24372.86346875 |
transcript.pyannote[1514].speaker |
SPEAKER_04 |
transcript.pyannote[1514].start |
24372.86346875 |
transcript.pyannote[1514].end |
24375.59721875 |
transcript.pyannote[1515].speaker |
SPEAKER_05 |
transcript.pyannote[1515].start |
24373.35284375 |
transcript.pyannote[1515].end |
24374.97284375 |
transcript.pyannote[1516].speaker |
SPEAKER_04 |
transcript.pyannote[1516].start |
24375.98534375 |
transcript.pyannote[1516].end |
24387.00471875 |
transcript.pyannote[1517].speaker |
SPEAKER_04 |
transcript.pyannote[1517].start |
24387.61221875 |
transcript.pyannote[1517].end |
24388.33784375 |
transcript.pyannote[1518].speaker |
SPEAKER_04 |
transcript.pyannote[1518].start |
24389.51909375 |
transcript.pyannote[1518].end |
24390.61596875 |
transcript.pyannote[1519].speaker |
SPEAKER_04 |
transcript.pyannote[1519].start |
24390.75096875 |
transcript.pyannote[1519].end |
24393.63659375 |
transcript.pyannote[1520].speaker |
SPEAKER_04 |
transcript.pyannote[1520].start |
24394.75034375 |
transcript.pyannote[1520].end |
24398.91846875 |
transcript.pyannote[1521].speaker |
SPEAKER_04 |
transcript.pyannote[1521].start |
24399.89721875 |
transcript.pyannote[1521].end |
24401.95596875 |
transcript.pyannote[1522].speaker |
SPEAKER_04 |
transcript.pyannote[1522].start |
24402.63096875 |
transcript.pyannote[1522].end |
24409.24596875 |
transcript.pyannote[1523].speaker |
SPEAKER_04 |
transcript.pyannote[1523].start |
24409.68471875 |
transcript.pyannote[1523].end |
24411.38909375 |
transcript.pyannote[1524].speaker |
SPEAKER_04 |
transcript.pyannote[1524].start |
24411.70971875 |
transcript.pyannote[1524].end |
24414.35909375 |
transcript.pyannote[1525].speaker |
SPEAKER_04 |
transcript.pyannote[1525].start |
24414.78096875 |
transcript.pyannote[1525].end |
24416.53596875 |
transcript.pyannote[1526].speaker |
SPEAKER_04 |
transcript.pyannote[1526].start |
24416.78909375 |
transcript.pyannote[1526].end |
24418.22346875 |
transcript.pyannote[1527].speaker |
SPEAKER_05 |
transcript.pyannote[1527].start |
24416.95784375 |
transcript.pyannote[1527].end |
24417.26159375 |
transcript.pyannote[1528].speaker |
SPEAKER_04 |
transcript.pyannote[1528].start |
24418.59471875 |
transcript.pyannote[1528].end |
24420.34971875 |
transcript.pyannote[1529].speaker |
SPEAKER_04 |
transcript.pyannote[1529].start |
24420.72096875 |
transcript.pyannote[1529].end |
24421.42971875 |
transcript.pyannote[1530].speaker |
SPEAKER_04 |
transcript.pyannote[1530].start |
24421.91909375 |
transcript.pyannote[1530].end |
24422.47596875 |
transcript.pyannote[1531].speaker |
SPEAKER_04 |
transcript.pyannote[1531].start |
24422.79659375 |
transcript.pyannote[1531].end |
24425.46284375 |
transcript.pyannote[1532].speaker |
SPEAKER_04 |
transcript.pyannote[1532].start |
24426.01971875 |
transcript.pyannote[1532].end |
24430.30596875 |
transcript.pyannote[1533].speaker |
SPEAKER_04 |
transcript.pyannote[1533].start |
24430.84596875 |
transcript.pyannote[1533].end |
24437.22471875 |
transcript.pyannote[1534].speaker |
SPEAKER_04 |
transcript.pyannote[1534].start |
24437.46096875 |
transcript.pyannote[1534].end |
24439.87409375 |
transcript.pyannote[1535].speaker |
SPEAKER_29 |
transcript.pyannote[1535].start |
24444.34596875 |
transcript.pyannote[1535].end |
24448.37909375 |
transcript.pyannote[1536].speaker |
SPEAKER_29 |
transcript.pyannote[1536].start |
24450.08346875 |
transcript.pyannote[1536].end |
24452.49659375 |
transcript.pyannote[1537].speaker |
SPEAKER_29 |
transcript.pyannote[1537].start |
24452.69909375 |
transcript.pyannote[1537].end |
24454.03221875 |
transcript.pyannote[1538].speaker |
SPEAKER_29 |
transcript.pyannote[1538].start |
24454.53846875 |
transcript.pyannote[1538].end |
24454.97721875 |
transcript.pyannote[1539].speaker |
SPEAKER_29 |
transcript.pyannote[1539].start |
24456.31034375 |
transcript.pyannote[1539].end |
24457.76159375 |
transcript.pyannote[1540].speaker |
SPEAKER_24 |
transcript.pyannote[1540].start |
24477.03284375 |
transcript.pyannote[1540].end |
24479.69909375 |
transcript.pyannote[1541].speaker |
SPEAKER_29 |
transcript.pyannote[1541].start |
24479.81721875 |
transcript.pyannote[1541].end |
24481.16721875 |
transcript.pyannote[1542].speaker |
SPEAKER_05 |
transcript.pyannote[1542].start |
24490.65096875 |
transcript.pyannote[1542].end |
24491.15721875 |
transcript.pyannote[1543].speaker |
SPEAKER_18 |
transcript.pyannote[1543].start |
24491.76471875 |
transcript.pyannote[1543].end |
24496.30409375 |
transcript.pyannote[1544].speaker |
SPEAKER_18 |
transcript.pyannote[1544].start |
24496.94534375 |
transcript.pyannote[1544].end |
24497.65409375 |
transcript.pyannote[1545].speaker |
SPEAKER_18 |
transcript.pyannote[1545].start |
24497.92409375 |
transcript.pyannote[1545].end |
24501.07971875 |
transcript.pyannote[1546].speaker |
SPEAKER_18 |
transcript.pyannote[1546].start |
24501.43409375 |
transcript.pyannote[1546].end |
24503.66159375 |
transcript.pyannote[1547].speaker |
SPEAKER_18 |
transcript.pyannote[1547].start |
24504.21846875 |
transcript.pyannote[1547].end |
24508.45409375 |
transcript.pyannote[1548].speaker |
SPEAKER_18 |
transcript.pyannote[1548].start |
24509.80409375 |
transcript.pyannote[1548].end |
24513.06096875 |
transcript.pyannote[1549].speaker |
SPEAKER_18 |
transcript.pyannote[1549].start |
24513.65159375 |
transcript.pyannote[1549].end |
24514.78221875 |
transcript.pyannote[1550].speaker |
SPEAKER_18 |
transcript.pyannote[1550].start |
24514.88346875 |
transcript.pyannote[1550].end |
24515.69346875 |
transcript.pyannote[1551].speaker |
SPEAKER_18 |
transcript.pyannote[1551].start |
24516.45284375 |
transcript.pyannote[1551].end |
24517.83659375 |
transcript.pyannote[1552].speaker |
SPEAKER_18 |
transcript.pyannote[1552].start |
24518.15721875 |
transcript.pyannote[1552].end |
24521.85284375 |
transcript.pyannote[1553].speaker |
SPEAKER_18 |
transcript.pyannote[1553].start |
24522.27471875 |
transcript.pyannote[1553].end |
24525.26159375 |
transcript.pyannote[1554].speaker |
SPEAKER_18 |
transcript.pyannote[1554].start |
24525.59909375 |
transcript.pyannote[1554].end |
24529.14284375 |
transcript.pyannote[1555].speaker |
SPEAKER_25 |
transcript.pyannote[1555].start |
24525.68346875 |
transcript.pyannote[1555].end |
24525.97034375 |
transcript.pyannote[1556].speaker |
SPEAKER_18 |
transcript.pyannote[1556].start |
24529.81784375 |
transcript.pyannote[1556].end |
24531.01596875 |
transcript.pyannote[1557].speaker |
SPEAKER_18 |
transcript.pyannote[1557].start |
24531.53909375 |
transcript.pyannote[1557].end |
24533.93534375 |
transcript.pyannote[1558].speaker |
SPEAKER_18 |
transcript.pyannote[1558].start |
24534.27284375 |
transcript.pyannote[1558].end |
24537.90096875 |
transcript.pyannote[1559].speaker |
SPEAKER_18 |
transcript.pyannote[1559].start |
24538.47471875 |
transcript.pyannote[1559].end |
24540.70221875 |
transcript.pyannote[1560].speaker |
SPEAKER_18 |
transcript.pyannote[1560].start |
24541.20846875 |
transcript.pyannote[1560].end |
24542.03534375 |
transcript.pyannote[1561].speaker |
SPEAKER_18 |
transcript.pyannote[1561].start |
24542.08596875 |
transcript.pyannote[1561].end |
24545.00534375 |
transcript.pyannote[1562].speaker |
SPEAKER_18 |
transcript.pyannote[1562].start |
24545.57909375 |
transcript.pyannote[1562].end |
24546.49034375 |
transcript.pyannote[1563].speaker |
SPEAKER_18 |
transcript.pyannote[1563].start |
24547.77284375 |
transcript.pyannote[1563].end |
24548.66721875 |
transcript.pyannote[1564].speaker |
SPEAKER_18 |
transcript.pyannote[1564].start |
24549.46034375 |
transcript.pyannote[1564].end |
24557.00346875 |
transcript.pyannote[1565].speaker |
SPEAKER_05 |
transcript.pyannote[1565].start |
24557.52659375 |
transcript.pyannote[1565].end |
24566.26784375 |
transcript.pyannote[1566].speaker |
SPEAKER_18 |
transcript.pyannote[1566].start |
24566.55471875 |
transcript.pyannote[1566].end |
24570.28409375 |
transcript.pyannote[1567].speaker |
SPEAKER_18 |
transcript.pyannote[1567].start |
24570.87471875 |
transcript.pyannote[1567].end |
24575.68409375 |
transcript.pyannote[1568].speaker |
SPEAKER_18 |
transcript.pyannote[1568].start |
24575.88659375 |
transcript.pyannote[1568].end |
24585.47159375 |
transcript.pyannote[1569].speaker |
SPEAKER_18 |
transcript.pyannote[1569].start |
24585.89346875 |
transcript.pyannote[1569].end |
24592.87971875 |
transcript.pyannote[1570].speaker |
SPEAKER_18 |
transcript.pyannote[1570].start |
24593.26784375 |
transcript.pyannote[1570].end |
24597.41909375 |
transcript.pyannote[1571].speaker |
SPEAKER_18 |
transcript.pyannote[1571].start |
24597.70596875 |
transcript.pyannote[1571].end |
24602.71784375 |
transcript.pyannote[1572].speaker |
SPEAKER_05 |
transcript.pyannote[1572].start |
24603.44346875 |
transcript.pyannote[1572].end |
24606.19409375 |
transcript.pyannote[1573].speaker |
SPEAKER_05 |
transcript.pyannote[1573].start |
24606.71721875 |
transcript.pyannote[1573].end |
24610.73346875 |
transcript.pyannote[1574].speaker |
SPEAKER_05 |
transcript.pyannote[1574].start |
24611.54346875 |
transcript.pyannote[1574].end |
24613.21409375 |
transcript.pyannote[1575].speaker |
SPEAKER_18 |
transcript.pyannote[1575].start |
24613.60221875 |
transcript.pyannote[1575].end |
24617.44971875 |
transcript.pyannote[1576].speaker |
SPEAKER_18 |
transcript.pyannote[1576].start |
24617.73659375 |
transcript.pyannote[1576].end |
24620.63909375 |
transcript.pyannote[1577].speaker |
SPEAKER_18 |
transcript.pyannote[1577].start |
24621.02721875 |
transcript.pyannote[1577].end |
24622.96784375 |
transcript.pyannote[1578].speaker |
SPEAKER_05 |
transcript.pyannote[1578].start |
24623.57534375 |
transcript.pyannote[1578].end |
24624.68909375 |
transcript.pyannote[1579].speaker |
SPEAKER_18 |
transcript.pyannote[1579].start |
24623.67659375 |
transcript.pyannote[1579].end |
24624.21659375 |
transcript.pyannote[1580].speaker |
SPEAKER_18 |
transcript.pyannote[1580].start |
24624.60471875 |
transcript.pyannote[1580].end |
24627.57471875 |
transcript.pyannote[1581].speaker |
SPEAKER_18 |
transcript.pyannote[1581].start |
24627.74346875 |
transcript.pyannote[1581].end |
24629.14409375 |
transcript.pyannote[1582].speaker |
SPEAKER_18 |
transcript.pyannote[1582].start |
24629.71784375 |
transcript.pyannote[1582].end |
24632.67096875 |
transcript.pyannote[1583].speaker |
SPEAKER_18 |
transcript.pyannote[1583].start |
24633.14346875 |
transcript.pyannote[1583].end |
24636.41721875 |
transcript.pyannote[1584].speaker |
SPEAKER_18 |
transcript.pyannote[1584].start |
24636.73784375 |
transcript.pyannote[1584].end |
24637.86846875 |
transcript.pyannote[1585].speaker |
SPEAKER_05 |
transcript.pyannote[1585].start |
24638.39159375 |
transcript.pyannote[1585].end |
24647.72346875 |
transcript.pyannote[1586].speaker |
SPEAKER_18 |
transcript.pyannote[1586].start |
24648.48284375 |
transcript.pyannote[1586].end |
24650.10284375 |
transcript.pyannote[1587].speaker |
SPEAKER_05 |
transcript.pyannote[1587].start |
24650.42346875 |
transcript.pyannote[1587].end |
24653.59596875 |
transcript.pyannote[1588].speaker |
SPEAKER_18 |
transcript.pyannote[1588].start |
24653.71409375 |
transcript.pyannote[1588].end |
24656.63346875 |
transcript.pyannote[1589].speaker |
SPEAKER_18 |
transcript.pyannote[1589].start |
24657.47721875 |
transcript.pyannote[1589].end |
24660.07596875 |
transcript.pyannote[1590].speaker |
SPEAKER_25 |
transcript.pyannote[1590].start |
24660.02534375 |
transcript.pyannote[1590].end |
24660.31221875 |
transcript.pyannote[1591].speaker |
SPEAKER_18 |
transcript.pyannote[1591].start |
24660.29534375 |
transcript.pyannote[1591].end |
24663.55221875 |
transcript.pyannote[1592].speaker |
SPEAKER_18 |
transcript.pyannote[1592].start |
24664.02471875 |
transcript.pyannote[1592].end |
24667.70346875 |
transcript.pyannote[1593].speaker |
SPEAKER_18 |
transcript.pyannote[1593].start |
24668.19284375 |
transcript.pyannote[1593].end |
24673.06971875 |
transcript.pyannote[1594].speaker |
SPEAKER_18 |
transcript.pyannote[1594].start |
24673.57596875 |
transcript.pyannote[1594].end |
24687.63284375 |
transcript.pyannote[1595].speaker |
SPEAKER_18 |
transcript.pyannote[1595].start |
24687.73409375 |
transcript.pyannote[1595].end |
24690.48471875 |
transcript.pyannote[1596].speaker |
SPEAKER_18 |
transcript.pyannote[1596].start |
24690.68721875 |
transcript.pyannote[1596].end |
24694.85534375 |
transcript.pyannote[1597].speaker |
SPEAKER_18 |
transcript.pyannote[1597].start |
24695.44596875 |
transcript.pyannote[1597].end |
24696.71159375 |
transcript.pyannote[1598].speaker |
SPEAKER_18 |
transcript.pyannote[1598].start |
24697.11659375 |
transcript.pyannote[1598].end |
24699.37784375 |
transcript.pyannote[1599].speaker |
SPEAKER_18 |
transcript.pyannote[1599].start |
24701.13284375 |
transcript.pyannote[1599].end |
24702.63471875 |
transcript.pyannote[1600].speaker |
SPEAKER_18 |
transcript.pyannote[1600].start |
24703.25909375 |
transcript.pyannote[1600].end |
24707.30909375 |
transcript.pyannote[1601].speaker |
SPEAKER_05 |
transcript.pyannote[1601].start |
24706.75221875 |
transcript.pyannote[1601].end |
24708.05159375 |
transcript.pyannote[1602].speaker |
SPEAKER_18 |
transcript.pyannote[1602].start |
24707.89971875 |
transcript.pyannote[1602].end |
24708.65909375 |
transcript.pyannote[1603].speaker |
SPEAKER_18 |
transcript.pyannote[1603].start |
24709.19909375 |
transcript.pyannote[1603].end |
24712.57409375 |
transcript.pyannote[1604].speaker |
SPEAKER_18 |
transcript.pyannote[1604].start |
24713.53596875 |
transcript.pyannote[1604].end |
24714.43034375 |
transcript.pyannote[1605].speaker |
SPEAKER_18 |
transcript.pyannote[1605].start |
24715.39221875 |
transcript.pyannote[1605].end |
24716.64096875 |
transcript.pyannote[1606].speaker |
SPEAKER_18 |
transcript.pyannote[1606].start |
24717.18096875 |
transcript.pyannote[1606].end |
24719.10471875 |
transcript.pyannote[1607].speaker |
SPEAKER_18 |
transcript.pyannote[1607].start |
24719.66159375 |
transcript.pyannote[1607].end |
24724.58909375 |
transcript.pyannote[1608].speaker |
SPEAKER_05 |
transcript.pyannote[1608].start |
24725.48346875 |
transcript.pyannote[1608].end |
24726.34409375 |
transcript.pyannote[1609].speaker |
SPEAKER_05 |
transcript.pyannote[1609].start |
24727.44096875 |
transcript.pyannote[1609].end |
24728.75721875 |
transcript.pyannote[1610].speaker |
SPEAKER_18 |
transcript.pyannote[1610].start |
24727.45784375 |
transcript.pyannote[1610].end |
24729.11159375 |
transcript.pyannote[1611].speaker |
SPEAKER_05 |
transcript.pyannote[1611].start |
24728.99346875 |
transcript.pyannote[1611].end |
24740.26596875 |
transcript.pyannote[1612].speaker |
SPEAKER_18 |
transcript.pyannote[1612].start |
24731.45721875 |
transcript.pyannote[1612].end |
24731.96346875 |
transcript.pyannote[1613].speaker |
SPEAKER_18 |
transcript.pyannote[1613].start |
24733.85346875 |
transcript.pyannote[1613].end |
24734.30909375 |
transcript.pyannote[1614].speaker |
SPEAKER_18 |
transcript.pyannote[1614].start |
24740.41784375 |
transcript.pyannote[1614].end |
24741.95346875 |
transcript.pyannote[1615].speaker |
SPEAKER_05 |
transcript.pyannote[1615].start |
24742.62846875 |
transcript.pyannote[1615].end |
24743.59034375 |
transcript.pyannote[1616].speaker |
SPEAKER_18 |
transcript.pyannote[1616].start |
24743.59034375 |
transcript.pyannote[1616].end |
24746.94846875 |
transcript.pyannote[1617].speaker |
SPEAKER_18 |
transcript.pyannote[1617].start |
24746.96534375 |
transcript.pyannote[1617].end |
24747.03284375 |
transcript.pyannote[1618].speaker |
SPEAKER_18 |
transcript.pyannote[1618].start |
24747.18471875 |
transcript.pyannote[1618].end |
24751.45409375 |
transcript.pyannote[1619].speaker |
SPEAKER_05 |
transcript.pyannote[1619].start |
24751.09971875 |
transcript.pyannote[1619].end |
24761.02221875 |
transcript.pyannote[1620].speaker |
SPEAKER_18 |
transcript.pyannote[1620].start |
24753.85034375 |
transcript.pyannote[1620].end |
24754.18784375 |
transcript.pyannote[1621].speaker |
SPEAKER_18 |
transcript.pyannote[1621].start |
24754.91346875 |
transcript.pyannote[1621].end |
24755.26784375 |
transcript.pyannote[1622].speaker |
SPEAKER_05 |
transcript.pyannote[1622].start |
24761.19096875 |
transcript.pyannote[1622].end |
24766.75971875 |
transcript.pyannote[1623].speaker |
SPEAKER_18 |
transcript.pyannote[1623].start |
24766.28721875 |
transcript.pyannote[1623].end |
24775.65284375 |
transcript.pyannote[1624].speaker |
SPEAKER_05 |
transcript.pyannote[1624].start |
24769.08846875 |
transcript.pyannote[1624].end |
24769.17284375 |
transcript.pyannote[1625].speaker |
SPEAKER_05 |
transcript.pyannote[1625].start |
24776.42909375 |
transcript.pyannote[1625].end |
24778.09971875 |
transcript.pyannote[1626].speaker |
SPEAKER_05 |
transcript.pyannote[1626].start |
24778.16721875 |
transcript.pyannote[1626].end |
24778.20096875 |
transcript.pyannote[1627].speaker |
SPEAKER_18 |
transcript.pyannote[1627].start |
24778.20096875 |
transcript.pyannote[1627].end |
24780.98534375 |
transcript.pyannote[1628].speaker |
SPEAKER_05 |
transcript.pyannote[1628].start |
24778.47096875 |
transcript.pyannote[1628].end |
24781.23846875 |
transcript.pyannote[1629].speaker |
SPEAKER_18 |
transcript.pyannote[1629].start |
24781.28909375 |
transcript.pyannote[1629].end |
24785.87909375 |
transcript.pyannote[1630].speaker |
SPEAKER_18 |
transcript.pyannote[1630].start |
24786.36846875 |
transcript.pyannote[1630].end |
24787.93784375 |
transcript.pyannote[1631].speaker |
SPEAKER_18 |
transcript.pyannote[1631].start |
24788.51159375 |
transcript.pyannote[1631].end |
24793.27034375 |
transcript.pyannote[1632].speaker |
SPEAKER_18 |
transcript.pyannote[1632].start |
24793.54034375 |
transcript.pyannote[1632].end |
24795.26159375 |
transcript.pyannote[1633].speaker |
SPEAKER_18 |
transcript.pyannote[1633].start |
24795.93659375 |
transcript.pyannote[1633].end |
24800.59409375 |
transcript.pyannote[1634].speaker |
SPEAKER_18 |
transcript.pyannote[1634].start |
24800.71221875 |
transcript.pyannote[1634].end |
24801.40409375 |
transcript.pyannote[1635].speaker |
SPEAKER_05 |
transcript.pyannote[1635].start |
24800.99909375 |
transcript.pyannote[1635].end |
24805.04909375 |
transcript.pyannote[1636].speaker |
SPEAKER_18 |
transcript.pyannote[1636].start |
24804.66096875 |
transcript.pyannote[1636].end |
24809.45346875 |
transcript.pyannote[1637].speaker |
SPEAKER_18 |
transcript.pyannote[1637].start |
24810.19596875 |
transcript.pyannote[1637].end |
24812.25471875 |
transcript.pyannote[1638].speaker |
SPEAKER_18 |
transcript.pyannote[1638].start |
24812.55846875 |
transcript.pyannote[1638].end |
24814.14471875 |
transcript.pyannote[1639].speaker |
SPEAKER_18 |
transcript.pyannote[1639].start |
24814.60034375 |
transcript.pyannote[1639].end |
24816.20346875 |
transcript.pyannote[1640].speaker |
SPEAKER_18 |
transcript.pyannote[1640].start |
24816.45659375 |
transcript.pyannote[1640].end |
24818.11034375 |
transcript.pyannote[1641].speaker |
SPEAKER_18 |
transcript.pyannote[1641].start |
24818.29596875 |
transcript.pyannote[1641].end |
24827.83034375 |
transcript.pyannote[1642].speaker |
SPEAKER_05 |
transcript.pyannote[1642].start |
24828.28596875 |
transcript.pyannote[1642].end |
24835.00221875 |
transcript.pyannote[1643].speaker |
SPEAKER_18 |
transcript.pyannote[1643].start |
24829.63596875 |
transcript.pyannote[1643].end |
24831.05346875 |
transcript.pyannote[1644].speaker |
SPEAKER_18 |
transcript.pyannote[1644].start |
24834.56346875 |
transcript.pyannote[1644].end |
24836.97659375 |
transcript.pyannote[1645].speaker |
SPEAKER_18 |
transcript.pyannote[1645].start |
24837.49971875 |
transcript.pyannote[1645].end |
24839.45721875 |
transcript.pyannote[1646].speaker |
SPEAKER_05 |
transcript.pyannote[1646].start |
24839.00159375 |
transcript.pyannote[1646].end |
24839.71034375 |
transcript.pyannote[1647].speaker |
SPEAKER_18 |
transcript.pyannote[1647].start |
24839.71034375 |
transcript.pyannote[1647].end |
24841.09409375 |
transcript.pyannote[1648].speaker |
SPEAKER_18 |
transcript.pyannote[1648].start |
24841.29659375 |
transcript.pyannote[1648].end |
24845.81909375 |
transcript.pyannote[1649].speaker |
SPEAKER_18 |
transcript.pyannote[1649].start |
24846.69659375 |
transcript.pyannote[1649].end |
24850.91534375 |
transcript.pyannote[1650].speaker |
SPEAKER_18 |
transcript.pyannote[1650].start |
24851.08409375 |
transcript.pyannote[1650].end |
24867.25034375 |
transcript.pyannote[1651].speaker |
SPEAKER_18 |
transcript.pyannote[1651].start |
24867.73971875 |
transcript.pyannote[1651].end |
24868.92096875 |
transcript.pyannote[1652].speaker |
SPEAKER_18 |
transcript.pyannote[1652].start |
24870.11909375 |
transcript.pyannote[1652].end |
24872.34659375 |
transcript.pyannote[1653].speaker |
SPEAKER_18 |
transcript.pyannote[1653].start |
24872.86971875 |
transcript.pyannote[1653].end |
24873.86534375 |
transcript.pyannote[1654].speaker |
SPEAKER_18 |
transcript.pyannote[1654].start |
24874.30409375 |
transcript.pyannote[1654].end |
24874.97909375 |
transcript.pyannote[1655].speaker |
SPEAKER_18 |
transcript.pyannote[1655].start |
24875.53596875 |
transcript.pyannote[1655].end |
24877.69596875 |
transcript.pyannote[1656].speaker |
SPEAKER_18 |
transcript.pyannote[1656].start |
24877.86471875 |
transcript.pyannote[1656].end |
24880.76721875 |
transcript.pyannote[1657].speaker |
SPEAKER_18 |
transcript.pyannote[1657].start |
24881.77971875 |
transcript.pyannote[1657].end |
24885.35721875 |
transcript.pyannote[1658].speaker |
SPEAKER_18 |
transcript.pyannote[1658].start |
24885.44159375 |
transcript.pyannote[1658].end |
24902.75534375 |
transcript.pyannote[1659].speaker |
SPEAKER_05 |
transcript.pyannote[1659].start |
24903.61596875 |
transcript.pyannote[1659].end |
24904.22346875 |
transcript.pyannote[1660].speaker |
SPEAKER_05 |
transcript.pyannote[1660].start |
24904.40909375 |
transcript.pyannote[1660].end |
24909.77534375 |
transcript.pyannote[1661].speaker |
SPEAKER_18 |
transcript.pyannote[1661].start |
24908.32409375 |
transcript.pyannote[1661].end |
24910.58534375 |
transcript.pyannote[1662].speaker |
SPEAKER_05 |
transcript.pyannote[1662].start |
24910.72034375 |
transcript.pyannote[1662].end |
24916.20471875 |
transcript.pyannote[1663].speaker |
SPEAKER_18 |
transcript.pyannote[1663].start |
24915.34409375 |
transcript.pyannote[1663].end |
24921.36846875 |
transcript.pyannote[1664].speaker |
SPEAKER_25 |
transcript.pyannote[1664].start |
24921.65534375 |
transcript.pyannote[1664].end |
24921.82409375 |
transcript.pyannote[1665].speaker |
SPEAKER_18 |
transcript.pyannote[1665].start |
24921.80721875 |
transcript.pyannote[1665].end |
24931.24034375 |
transcript.pyannote[1666].speaker |
SPEAKER_05 |
transcript.pyannote[1666].start |
24929.87346875 |
transcript.pyannote[1666].end |
24930.26159375 |
transcript.pyannote[1667].speaker |
SPEAKER_05 |
transcript.pyannote[1667].start |
24931.24034375 |
transcript.pyannote[1667].end |
24936.80909375 |
transcript.pyannote[1668].speaker |
SPEAKER_18 |
transcript.pyannote[1668].start |
24934.24409375 |
transcript.pyannote[1668].end |
24945.66846875 |
transcript.pyannote[1669].speaker |
SPEAKER_05 |
transcript.pyannote[1669].start |
24945.83721875 |
transcript.pyannote[1669].end |
24946.42784375 |
transcript.pyannote[1670].speaker |
SPEAKER_18 |
transcript.pyannote[1670].start |
24946.42784375 |
transcript.pyannote[1670].end |
24948.63846875 |
transcript.pyannote[1671].speaker |
SPEAKER_18 |
transcript.pyannote[1671].start |
24948.68909375 |
transcript.pyannote[1671].end |
24957.10971875 |
transcript.pyannote[1672].speaker |
SPEAKER_18 |
transcript.pyannote[1672].start |
24958.27409375 |
transcript.pyannote[1672].end |
24962.25659375 |
transcript.pyannote[1673].speaker |
SPEAKER_18 |
transcript.pyannote[1673].start |
24962.89784375 |
transcript.pyannote[1673].end |
24964.65284375 |
transcript.pyannote[1674].speaker |
SPEAKER_18 |
transcript.pyannote[1674].start |
24965.29409375 |
transcript.pyannote[1674].end |
24966.35721875 |
transcript.pyannote[1675].speaker |
SPEAKER_18 |
transcript.pyannote[1675].start |
24966.62721875 |
transcript.pyannote[1675].end |
24971.18346875 |
transcript.pyannote[1676].speaker |
SPEAKER_18 |
transcript.pyannote[1676].start |
24971.40284375 |
transcript.pyannote[1676].end |
24972.28034375 |
transcript.pyannote[1677].speaker |
SPEAKER_18 |
transcript.pyannote[1677].start |
24972.65159375 |
transcript.pyannote[1677].end |
24974.03534375 |
transcript.pyannote[1678].speaker |
SPEAKER_18 |
transcript.pyannote[1678].start |
24974.40659375 |
transcript.pyannote[1678].end |
24975.31784375 |
transcript.pyannote[1679].speaker |
SPEAKER_18 |
transcript.pyannote[1679].start |
24975.84096875 |
transcript.pyannote[1679].end |
24979.11471875 |
transcript.pyannote[1680].speaker |
SPEAKER_18 |
transcript.pyannote[1680].start |
24979.57034375 |
transcript.pyannote[1680].end |
24998.84159375 |
transcript.pyannote[1681].speaker |
SPEAKER_18 |
transcript.pyannote[1681].start |
24998.85846875 |
transcript.pyannote[1681].end |
25009.01721875 |
transcript.pyannote[1682].speaker |
SPEAKER_18 |
transcript.pyannote[1682].start |
25009.32096875 |
transcript.pyannote[1682].end |
25013.48909375 |
transcript.pyannote[1683].speaker |
SPEAKER_05 |
transcript.pyannote[1683].start |
25014.24846875 |
transcript.pyannote[1683].end |
25014.56909375 |
transcript.pyannote[1684].speaker |
SPEAKER_05 |
transcript.pyannote[1684].start |
25015.10909375 |
transcript.pyannote[1684].end |
25020.32346875 |
transcript.pyannote[1685].speaker |
SPEAKER_05 |
transcript.pyannote[1685].start |
25020.57659375 |
transcript.pyannote[1685].end |
25026.04409375 |
transcript.pyannote[1686].speaker |
SPEAKER_18 |
transcript.pyannote[1686].start |
25023.39471875 |
transcript.pyannote[1686].end |
25030.39784375 |
transcript.pyannote[1687].speaker |
SPEAKER_05 |
transcript.pyannote[1687].start |
25030.83659375 |
transcript.pyannote[1687].end |
25032.03471875 |
transcript.pyannote[1688].speaker |
SPEAKER_05 |
transcript.pyannote[1688].start |
25032.65909375 |
transcript.pyannote[1688].end |
25033.11471875 |
transcript.pyannote[1689].speaker |
SPEAKER_18 |
transcript.pyannote[1689].start |
25033.84034375 |
transcript.pyannote[1689].end |
25034.95409375 |
transcript.pyannote[1690].speaker |
SPEAKER_18 |
transcript.pyannote[1690].start |
25035.98346875 |
transcript.pyannote[1690].end |
25039.32471875 |
transcript.pyannote[1691].speaker |
SPEAKER_18 |
transcript.pyannote[1691].start |
25039.81409375 |
transcript.pyannote[1691].end |
25042.29471875 |
transcript.pyannote[1692].speaker |
SPEAKER_18 |
transcript.pyannote[1692].start |
25042.54784375 |
transcript.pyannote[1692].end |
25043.23971875 |
transcript.pyannote[1693].speaker |
SPEAKER_18 |
transcript.pyannote[1693].start |
25043.72909375 |
transcript.pyannote[1693].end |
25045.82159375 |
transcript.pyannote[1694].speaker |
SPEAKER_18 |
transcript.pyannote[1694].start |
25046.32784375 |
transcript.pyannote[1694].end |
25047.74534375 |
transcript.pyannote[1695].speaker |
SPEAKER_18 |
transcript.pyannote[1695].start |
25048.45409375 |
transcript.pyannote[1695].end |
25054.81596875 |
transcript.pyannote[1696].speaker |
SPEAKER_18 |
transcript.pyannote[1696].start |
25055.18721875 |
transcript.pyannote[1696].end |
25057.73534375 |
transcript.pyannote[1697].speaker |
SPEAKER_18 |
transcript.pyannote[1697].start |
25058.17409375 |
transcript.pyannote[1697].end |
25060.51971875 |
transcript.pyannote[1698].speaker |
SPEAKER_18 |
transcript.pyannote[1698].start |
25060.94159375 |
transcript.pyannote[1698].end |
25062.34221875 |
transcript.pyannote[1699].speaker |
SPEAKER_18 |
transcript.pyannote[1699].start |
25062.74721875 |
transcript.pyannote[1699].end |
25064.11409375 |
transcript.pyannote[1700].speaker |
SPEAKER_18 |
transcript.pyannote[1700].start |
25064.56971875 |
transcript.pyannote[1700].end |
25065.54846875 |
transcript.pyannote[1701].speaker |
SPEAKER_18 |
transcript.pyannote[1701].start |
25065.95346875 |
transcript.pyannote[1701].end |
25066.84784375 |
transcript.pyannote[1702].speaker |
SPEAKER_18 |
transcript.pyannote[1702].start |
25067.25284375 |
transcript.pyannote[1702].end |
25070.71221875 |
transcript.pyannote[1703].speaker |
SPEAKER_18 |
transcript.pyannote[1703].start |
25070.96534375 |
transcript.pyannote[1703].end |
25072.16346875 |
transcript.pyannote[1704].speaker |
SPEAKER_18 |
transcript.pyannote[1704].start |
25072.46721875 |
transcript.pyannote[1704].end |
25078.94721875 |
transcript.pyannote[1705].speaker |
SPEAKER_18 |
transcript.pyannote[1705].start |
25079.41971875 |
transcript.pyannote[1705].end |
25084.12784375 |
transcript.pyannote[1706].speaker |
SPEAKER_18 |
transcript.pyannote[1706].start |
25084.16159375 |
transcript.pyannote[1706].end |
25085.02221875 |
transcript.pyannote[1707].speaker |
SPEAKER_18 |
transcript.pyannote[1707].start |
25085.32596875 |
transcript.pyannote[1707].end |
25086.57471875 |
transcript.pyannote[1708].speaker |
SPEAKER_18 |
transcript.pyannote[1708].start |
25087.06409375 |
transcript.pyannote[1708].end |
25088.24534375 |
transcript.pyannote[1709].speaker |
SPEAKER_18 |
transcript.pyannote[1709].start |
25088.61659375 |
transcript.pyannote[1709].end |
25089.29159375 |
transcript.pyannote[1710].speaker |
SPEAKER_18 |
transcript.pyannote[1710].start |
25089.69659375 |
transcript.pyannote[1710].end |
25090.70909375 |
transcript.pyannote[1711].speaker |
SPEAKER_18 |
transcript.pyannote[1711].start |
25091.55284375 |
transcript.pyannote[1711].end |
25092.02534375 |
transcript.pyannote[1712].speaker |
SPEAKER_05 |
transcript.pyannote[1712].start |
25092.02534375 |
transcript.pyannote[1712].end |
25092.16034375 |
transcript.pyannote[1713].speaker |
SPEAKER_05 |
transcript.pyannote[1713].start |
25093.59471875 |
transcript.pyannote[1713].end |
25095.97409375 |
transcript.pyannote[1714].speaker |
SPEAKER_25 |
transcript.pyannote[1714].start |
25094.10096875 |
transcript.pyannote[1714].end |
25094.72534375 |
transcript.pyannote[1715].speaker |
SPEAKER_05 |
transcript.pyannote[1715].start |
25096.12596875 |
transcript.pyannote[1715].end |
25099.06221875 |
transcript.pyannote[1716].speaker |
SPEAKER_05 |
transcript.pyannote[1716].start |
25099.19721875 |
transcript.pyannote[1716].end |
25101.25596875 |
transcript.pyannote[1717].speaker |
SPEAKER_05 |
transcript.pyannote[1717].start |
25101.44159375 |
transcript.pyannote[1717].end |
25106.28471875 |
transcript.pyannote[1718].speaker |
SPEAKER_05 |
transcript.pyannote[1718].start |
25106.55471875 |
transcript.pyannote[1718].end |
25107.78659375 |
transcript.pyannote[1719].speaker |
SPEAKER_18 |
transcript.pyannote[1719].start |
25108.61346875 |
transcript.pyannote[1719].end |
25111.38096875 |
transcript.pyannote[1720].speaker |
SPEAKER_18 |
transcript.pyannote[1720].start |
25111.80284375 |
transcript.pyannote[1720].end |
25113.87846875 |
transcript.pyannote[1721].speaker |
SPEAKER_18 |
transcript.pyannote[1721].start |
25114.23284375 |
transcript.pyannote[1721].end |
25116.64596875 |
transcript.pyannote[1722].speaker |
SPEAKER_18 |
transcript.pyannote[1722].start |
25117.86096875 |
transcript.pyannote[1722].end |
25124.74596875 |
transcript.pyannote[1723].speaker |
SPEAKER_05 |
transcript.pyannote[1723].start |
25125.58971875 |
transcript.pyannote[1723].end |
25130.88846875 |
transcript.pyannote[1724].speaker |
SPEAKER_18 |
transcript.pyannote[1724].start |
25130.83784375 |
transcript.pyannote[1724].end |
25136.42346875 |
transcript.pyannote[1725].speaker |
SPEAKER_05 |
transcript.pyannote[1725].start |
25136.64284375 |
transcript.pyannote[1725].end |
25139.49471875 |
transcript.pyannote[1726].speaker |
SPEAKER_18 |
transcript.pyannote[1726].start |
25138.53284375 |
transcript.pyannote[1726].end |
25139.14034375 |
transcript.pyannote[1727].speaker |
SPEAKER_18 |
transcript.pyannote[1727].start |
25139.49471875 |
transcript.pyannote[1727].end |
25145.65409375 |
transcript.pyannote[1728].speaker |
SPEAKER_18 |
transcript.pyannote[1728].start |
25145.95784375 |
transcript.pyannote[1728].end |
25148.91096875 |
transcript.pyannote[1729].speaker |
SPEAKER_18 |
transcript.pyannote[1729].start |
25149.09659375 |
transcript.pyannote[1729].end |
25150.00784375 |
transcript.pyannote[1730].speaker |
SPEAKER_18 |
transcript.pyannote[1730].start |
25150.48034375 |
transcript.pyannote[1730].end |
25152.84284375 |
transcript.pyannote[1731].speaker |
SPEAKER_18 |
transcript.pyannote[1731].start |
25153.48409375 |
transcript.pyannote[1731].end |
25156.82534375 |
transcript.pyannote[1732].speaker |
SPEAKER_18 |
transcript.pyannote[1732].start |
25157.50034375 |
transcript.pyannote[1732].end |
25158.10784375 |
transcript.pyannote[1733].speaker |
SPEAKER_18 |
transcript.pyannote[1733].start |
25158.56346875 |
transcript.pyannote[1733].end |
25159.20471875 |
transcript.pyannote[1734].speaker |
SPEAKER_18 |
transcript.pyannote[1734].start |
25159.32284375 |
transcript.pyannote[1734].end |
25160.87534375 |
transcript.pyannote[1735].speaker |
SPEAKER_18 |
transcript.pyannote[1735].start |
25161.41534375 |
transcript.pyannote[1735].end |
25162.91721875 |
transcript.pyannote[1736].speaker |
SPEAKER_18 |
transcript.pyannote[1736].start |
25163.40659375 |
transcript.pyannote[1736].end |
25164.46971875 |
transcript.pyannote[1737].speaker |
SPEAKER_18 |
transcript.pyannote[1737].start |
25164.99284375 |
transcript.pyannote[1737].end |
25167.43971875 |
transcript.pyannote[1738].speaker |
SPEAKER_18 |
transcript.pyannote[1738].start |
25167.79409375 |
transcript.pyannote[1738].end |
25168.46909375 |
transcript.pyannote[1739].speaker |
SPEAKER_18 |
transcript.pyannote[1739].start |
25168.89096875 |
transcript.pyannote[1739].end |
25172.63721875 |
transcript.pyannote[1740].speaker |
SPEAKER_18 |
transcript.pyannote[1740].start |
25173.93659375 |
transcript.pyannote[1740].end |
25175.30346875 |
transcript.pyannote[1741].speaker |
SPEAKER_18 |
transcript.pyannote[1741].start |
25175.94471875 |
transcript.pyannote[1741].end |
25177.32846875 |
transcript.pyannote[1742].speaker |
SPEAKER_18 |
transcript.pyannote[1742].start |
25178.20596875 |
transcript.pyannote[1742].end |
25181.19284375 |
transcript.pyannote[1743].speaker |
SPEAKER_18 |
transcript.pyannote[1743].start |
25181.73284375 |
transcript.pyannote[1743].end |
25184.80409375 |
transcript.pyannote[1744].speaker |
SPEAKER_18 |
transcript.pyannote[1744].start |
25185.27659375 |
transcript.pyannote[1744].end |
25193.32596875 |
transcript.pyannote[1745].speaker |
SPEAKER_18 |
transcript.pyannote[1745].start |
25193.84909375 |
transcript.pyannote[1745].end |
25203.02909375 |
transcript.pyannote[1746].speaker |
SPEAKER_18 |
transcript.pyannote[1746].start |
25203.19784375 |
transcript.pyannote[1746].end |
25206.03284375 |
transcript.pyannote[1747].speaker |
SPEAKER_18 |
transcript.pyannote[1747].start |
25207.50096875 |
transcript.pyannote[1747].end |
25208.22659375 |
transcript.pyannote[1748].speaker |
SPEAKER_05 |
transcript.pyannote[1748].start |
25208.63159375 |
transcript.pyannote[1748].end |
25210.36971875 |
transcript.pyannote[1749].speaker |
SPEAKER_05 |
transcript.pyannote[1749].start |
25210.52159375 |
transcript.pyannote[1749].end |
25213.37346875 |
transcript.pyannote[1750].speaker |
SPEAKER_18 |
transcript.pyannote[1750].start |
25213.49159375 |
transcript.pyannote[1750].end |
25226.45159375 |
transcript.pyannote[1751].speaker |
SPEAKER_05 |
transcript.pyannote[1751].start |
25227.27846875 |
transcript.pyannote[1751].end |
25231.21034375 |
transcript.pyannote[1752].speaker |
SPEAKER_05 |
transcript.pyannote[1752].start |
25231.41284375 |
transcript.pyannote[1752].end |
25235.51346875 |
transcript.pyannote[1753].speaker |
SPEAKER_05 |
transcript.pyannote[1753].start |
25235.68221875 |
transcript.pyannote[1753].end |
25238.26409375 |
transcript.pyannote[1754].speaker |
SPEAKER_18 |
transcript.pyannote[1754].start |
25238.26409375 |
transcript.pyannote[1754].end |
25240.08659375 |
transcript.pyannote[1755].speaker |
SPEAKER_18 |
transcript.pyannote[1755].start |
25240.94721875 |
transcript.pyannote[1755].end |
25241.74034375 |
transcript.pyannote[1756].speaker |
SPEAKER_18 |
transcript.pyannote[1756].start |
25243.78221875 |
transcript.pyannote[1756].end |
25244.03534375 |
transcript.pyannote[1757].speaker |
SPEAKER_18 |
transcript.pyannote[1757].start |
25245.03096875 |
transcript.pyannote[1757].end |
25246.70159375 |
transcript.pyannote[1758].speaker |
SPEAKER_18 |
transcript.pyannote[1758].start |
25248.32159375 |
transcript.pyannote[1758].end |
25251.05534375 |
transcript.pyannote[1759].speaker |
SPEAKER_18 |
transcript.pyannote[1759].start |
25251.37596875 |
transcript.pyannote[1759].end |
25253.08034375 |
transcript.pyannote[1760].speaker |
SPEAKER_18 |
transcript.pyannote[1760].start |
25253.63721875 |
transcript.pyannote[1760].end |
25255.42596875 |
transcript.pyannote[1761].speaker |
SPEAKER_18 |
transcript.pyannote[1761].start |
25256.18534375 |
transcript.pyannote[1761].end |
25257.99096875 |
transcript.pyannote[1762].speaker |
SPEAKER_18 |
transcript.pyannote[1762].start |
25258.17659375 |
transcript.pyannote[1762].end |
25261.45034375 |
transcript.pyannote[1763].speaker |
SPEAKER_18 |
transcript.pyannote[1763].start |
25261.82159375 |
transcript.pyannote[1763].end |
25264.62284375 |
transcript.pyannote[1764].speaker |
SPEAKER_18 |
transcript.pyannote[1764].start |
25265.06159375 |
transcript.pyannote[1764].end |
25266.86721875 |
transcript.pyannote[1765].speaker |
SPEAKER_18 |
transcript.pyannote[1765].start |
25267.00221875 |
transcript.pyannote[1765].end |
25271.00159375 |
transcript.pyannote[1766].speaker |
SPEAKER_18 |
transcript.pyannote[1766].start |
25271.84534375 |
transcript.pyannote[1766].end |
25274.73096875 |
transcript.pyannote[1767].speaker |
SPEAKER_05 |
transcript.pyannote[1767].start |
25275.15284375 |
transcript.pyannote[1767].end |
25288.12971875 |
transcript.pyannote[1768].speaker |
SPEAKER_05 |
transcript.pyannote[1768].start |
25288.28159375 |
transcript.pyannote[1768].end |
25292.73659375 |
transcript.pyannote[1769].speaker |
SPEAKER_18 |
transcript.pyannote[1769].start |
25292.06159375 |
transcript.pyannote[1769].end |
25299.35159375 |
transcript.pyannote[1770].speaker |
SPEAKER_18 |
transcript.pyannote[1770].start |
25299.97596875 |
transcript.pyannote[1770].end |
25301.69721875 |
transcript.pyannote[1771].speaker |
SPEAKER_18 |
transcript.pyannote[1771].start |
25301.93346875 |
transcript.pyannote[1771].end |
25313.34096875 |
transcript.pyannote[1772].speaker |
SPEAKER_18 |
transcript.pyannote[1772].start |
25313.62784375 |
transcript.pyannote[1772].end |
25319.55096875 |
transcript.pyannote[1773].speaker |
SPEAKER_18 |
transcript.pyannote[1773].start |
25319.87159375 |
transcript.pyannote[1773].end |
25334.33346875 |
transcript.pyannote[1774].speaker |
SPEAKER_18 |
transcript.pyannote[1774].start |
25334.70471875 |
transcript.pyannote[1774].end |
25339.88534375 |
transcript.pyannote[1775].speaker |
SPEAKER_18 |
transcript.pyannote[1775].start |
25339.90221875 |
transcript.pyannote[1775].end |
25348.25534375 |
transcript.pyannote[1776].speaker |
SPEAKER_18 |
transcript.pyannote[1776].start |
25348.52534375 |
transcript.pyannote[1776].end |
25349.72346875 |
transcript.pyannote[1777].speaker |
SPEAKER_18 |
transcript.pyannote[1777].start |
25350.41534375 |
transcript.pyannote[1777].end |
25351.10721875 |
transcript.pyannote[1778].speaker |
SPEAKER_18 |
transcript.pyannote[1778].start |
25351.61346875 |
transcript.pyannote[1778].end |
25354.81971875 |
transcript.pyannote[1779].speaker |
SPEAKER_18 |
transcript.pyannote[1779].start |
25355.54534375 |
transcript.pyannote[1779].end |
25366.64909375 |
transcript.pyannote[1780].speaker |
SPEAKER_18 |
transcript.pyannote[1780].start |
25366.85159375 |
transcript.pyannote[1780].end |
25371.39096875 |
transcript.pyannote[1781].speaker |
SPEAKER_18 |
transcript.pyannote[1781].start |
25371.94784375 |
transcript.pyannote[1781].end |
25373.70284375 |
transcript.pyannote[1782].speaker |
SPEAKER_18 |
transcript.pyannote[1782].start |
25373.83784375 |
transcript.pyannote[1782].end |
25376.55471875 |
transcript.pyannote[1783].speaker |
SPEAKER_18 |
transcript.pyannote[1783].start |
25376.90909375 |
transcript.pyannote[1783].end |
25378.79909375 |
transcript.pyannote[1784].speaker |
SPEAKER_18 |
transcript.pyannote[1784].start |
25379.25471875 |
transcript.pyannote[1784].end |
25383.65909375 |
transcript.pyannote[1785].speaker |
SPEAKER_05 |
transcript.pyannote[1785].start |
25384.06409375 |
transcript.pyannote[1785].end |
25384.57034375 |
transcript.pyannote[1786].speaker |
SPEAKER_05 |
transcript.pyannote[1786].start |
25385.22846875 |
transcript.pyannote[1786].end |
25386.57846875 |
transcript.pyannote[1787].speaker |
SPEAKER_05 |
transcript.pyannote[1787].start |
25386.74721875 |
transcript.pyannote[1787].end |
25388.99159375 |
transcript.pyannote[1788].speaker |
SPEAKER_05 |
transcript.pyannote[1788].start |
25389.19409375 |
transcript.pyannote[1788].end |
25390.91534375 |
transcript.pyannote[1789].speaker |
SPEAKER_05 |
transcript.pyannote[1789].start |
25390.94909375 |
transcript.pyannote[1789].end |
25394.29034375 |
transcript.pyannote[1790].speaker |
SPEAKER_25 |
transcript.pyannote[1790].start |
25400.56784375 |
transcript.pyannote[1790].end |
25402.49159375 |
transcript.pyannote[1791].speaker |
SPEAKER_21 |
transcript.pyannote[1791].start |
25403.53784375 |
transcript.pyannote[1791].end |
25410.49034375 |
transcript.pyannote[1792].speaker |
SPEAKER_25 |
transcript.pyannote[1792].start |
25403.55471875 |
transcript.pyannote[1792].end |
25404.58409375 |
transcript.pyannote[1793].speaker |
SPEAKER_21 |
transcript.pyannote[1793].start |
25411.11471875 |
transcript.pyannote[1793].end |
25419.02909375 |
transcript.pyannote[1794].speaker |
SPEAKER_31 |
transcript.pyannote[1794].start |
25411.18221875 |
transcript.pyannote[1794].end |
25411.19909375 |
transcript.pyannote[1795].speaker |
SPEAKER_05 |
transcript.pyannote[1795].start |
25411.19909375 |
transcript.pyannote[1795].end |
25412.24534375 |
transcript.pyannote[1796].speaker |
SPEAKER_29 |
transcript.pyannote[1796].start |
25425.39096875 |
transcript.pyannote[1796].end |
25429.33971875 |
transcript.pyannote[1797].speaker |
SPEAKER_29 |
transcript.pyannote[1797].start |
25432.73159375 |
transcript.pyannote[1797].end |
25438.30034375 |
transcript.pyannote[1798].speaker |
SPEAKER_29 |
transcript.pyannote[1798].start |
25451.61471875 |
transcript.pyannote[1798].end |
25451.98596875 |
transcript.pyannote[1799].speaker |
SPEAKER_16 |
transcript.pyannote[1799].start |
25461.08159375 |
transcript.pyannote[1799].end |
25467.66284375 |
transcript.pyannote[1800].speaker |
SPEAKER_16 |
transcript.pyannote[1800].start |
25467.96659375 |
transcript.pyannote[1800].end |
25470.80159375 |
transcript.pyannote[1801].speaker |
SPEAKER_29 |
transcript.pyannote[1801].start |
25471.15596875 |
transcript.pyannote[1801].end |
25475.29034375 |
transcript.pyannote[1802].speaker |
SPEAKER_05 |
transcript.pyannote[1802].start |
25483.49159375 |
transcript.pyannote[1802].end |
25484.09909375 |
transcript.pyannote[1803].speaker |
SPEAKER_16 |
transcript.pyannote[1803].start |
25484.30159375 |
transcript.pyannote[1803].end |
25484.90909375 |
transcript.pyannote[1804].speaker |
SPEAKER_16 |
transcript.pyannote[1804].start |
25485.53346875 |
transcript.pyannote[1804].end |
25489.38096875 |
transcript.pyannote[1805].speaker |
SPEAKER_16 |
transcript.pyannote[1805].start |
25489.95471875 |
transcript.pyannote[1805].end |
25490.83221875 |
transcript.pyannote[1806].speaker |
SPEAKER_16 |
transcript.pyannote[1806].start |
25491.22034375 |
transcript.pyannote[1806].end |
25495.23659375 |
transcript.pyannote[1807].speaker |
SPEAKER_16 |
transcript.pyannote[1807].start |
25496.18159375 |
transcript.pyannote[1807].end |
25497.04221875 |
transcript.pyannote[1808].speaker |
SPEAKER_16 |
transcript.pyannote[1808].start |
25497.48096875 |
transcript.pyannote[1808].end |
25499.97846875 |
transcript.pyannote[1809].speaker |
SPEAKER_16 |
transcript.pyannote[1809].start |
25500.46784375 |
transcript.pyannote[1809].end |
25501.69971875 |
transcript.pyannote[1810].speaker |
SPEAKER_16 |
transcript.pyannote[1810].start |
25502.13846875 |
transcript.pyannote[1810].end |
25525.56096875 |
transcript.pyannote[1811].speaker |
SPEAKER_16 |
transcript.pyannote[1811].start |
25525.94909375 |
transcript.pyannote[1811].end |
25541.22096875 |
transcript.pyannote[1812].speaker |
SPEAKER_16 |
transcript.pyannote[1812].start |
25541.38971875 |
transcript.pyannote[1812].end |
25547.26221875 |
transcript.pyannote[1813].speaker |
SPEAKER_16 |
transcript.pyannote[1813].start |
25547.68409375 |
transcript.pyannote[1813].end |
25560.89721875 |
transcript.pyannote[1814].speaker |
SPEAKER_16 |
transcript.pyannote[1814].start |
25561.30221875 |
transcript.pyannote[1814].end |
25567.73159375 |
transcript.pyannote[1815].speaker |
SPEAKER_16 |
transcript.pyannote[1815].start |
25568.05221875 |
transcript.pyannote[1815].end |
25574.56596875 |
transcript.pyannote[1816].speaker |
SPEAKER_16 |
transcript.pyannote[1816].start |
25574.66721875 |
transcript.pyannote[1816].end |
25576.00034375 |
transcript.pyannote[1817].speaker |
SPEAKER_16 |
transcript.pyannote[1817].start |
25576.72596875 |
transcript.pyannote[1817].end |
25585.16346875 |
transcript.pyannote[1818].speaker |
SPEAKER_16 |
transcript.pyannote[1818].start |
25585.38284375 |
transcript.pyannote[1818].end |
25615.11659375 |
transcript.pyannote[1819].speaker |
SPEAKER_16 |
transcript.pyannote[1819].start |
25615.67346875 |
transcript.pyannote[1819].end |
25617.05721875 |
transcript.pyannote[1820].speaker |
SPEAKER_16 |
transcript.pyannote[1820].start |
25617.49596875 |
transcript.pyannote[1820].end |
25621.02284375 |
transcript.pyannote[1821].speaker |
SPEAKER_05 |
transcript.pyannote[1821].start |
25621.02284375 |
transcript.pyannote[1821].end |
25621.61346875 |
transcript.pyannote[1822].speaker |
SPEAKER_16 |
transcript.pyannote[1822].start |
25621.61346875 |
transcript.pyannote[1822].end |
25621.63034375 |
transcript.pyannote[1823].speaker |
SPEAKER_16 |
transcript.pyannote[1823].start |
25621.98471875 |
transcript.pyannote[1823].end |
25622.00159375 |
transcript.pyannote[1824].speaker |
SPEAKER_05 |
transcript.pyannote[1824].start |
25622.00159375 |
transcript.pyannote[1824].end |
25622.64284375 |
transcript.pyannote[1825].speaker |
SPEAKER_05 |
transcript.pyannote[1825].start |
25623.30096875 |
transcript.pyannote[1825].end |
25626.01784375 |
transcript.pyannote[1826].speaker |
SPEAKER_05 |
transcript.pyannote[1826].start |
25626.45659375 |
transcript.pyannote[1826].end |
25628.32971875 |
transcript.pyannote[1827].speaker |
SPEAKER_05 |
transcript.pyannote[1827].start |
25628.59971875 |
transcript.pyannote[1827].end |
25629.17346875 |
transcript.pyannote[1828].speaker |
SPEAKER_05 |
transcript.pyannote[1828].start |
25629.39284375 |
transcript.pyannote[1828].end |
25634.11784375 |
transcript.pyannote[1829].speaker |
SPEAKER_05 |
transcript.pyannote[1829].start |
25634.45534375 |
transcript.pyannote[1829].end |
25637.61096875 |
transcript.pyannote[1830].speaker |
SPEAKER_05 |
transcript.pyannote[1830].start |
25638.23534375 |
transcript.pyannote[1830].end |
25638.58971875 |
transcript.pyannote[1831].speaker |
SPEAKER_05 |
transcript.pyannote[1831].start |
25638.79221875 |
transcript.pyannote[1831].end |
25639.65284375 |
transcript.pyannote[1832].speaker |
SPEAKER_05 |
transcript.pyannote[1832].start |
25639.73721875 |
transcript.pyannote[1832].end |
25640.31096875 |
transcript.pyannote[1833].speaker |
SPEAKER_05 |
transcript.pyannote[1833].start |
25640.44596875 |
transcript.pyannote[1833].end |
25641.23909375 |
transcript.pyannote[1834].speaker |
SPEAKER_05 |
transcript.pyannote[1834].start |
25641.30659375 |
transcript.pyannote[1834].end |
25642.01534375 |
transcript.pyannote[1835].speaker |
SPEAKER_05 |
transcript.pyannote[1835].start |
25642.21784375 |
transcript.pyannote[1835].end |
25644.39471875 |
transcript.pyannote[1836].speaker |
SPEAKER_05 |
transcript.pyannote[1836].start |
25644.78284375 |
transcript.pyannote[1836].end |
25646.28471875 |
transcript.pyannote[1837].speaker |
SPEAKER_05 |
transcript.pyannote[1837].start |
25646.55471875 |
transcript.pyannote[1837].end |
25648.52909375 |
transcript.pyannote[1838].speaker |
SPEAKER_05 |
transcript.pyannote[1838].start |
25648.73159375 |
transcript.pyannote[1838].end |
25650.72284375 |
transcript.pyannote[1839].speaker |
SPEAKER_05 |
transcript.pyannote[1839].start |
25651.02659375 |
transcript.pyannote[1839].end |
25653.50721875 |
transcript.pyannote[1840].speaker |
SPEAKER_05 |
transcript.pyannote[1840].start |
25653.55784375 |
transcript.pyannote[1840].end |
25655.93721875 |
transcript.pyannote[1841].speaker |
SPEAKER_05 |
transcript.pyannote[1841].start |
25656.40971875 |
transcript.pyannote[1841].end |
25659.39659375 |
transcript.pyannote[1842].speaker |
SPEAKER_05 |
transcript.pyannote[1842].start |
25659.61596875 |
transcript.pyannote[1842].end |
25660.13909375 |
transcript.pyannote[1843].speaker |
SPEAKER_05 |
transcript.pyannote[1843].start |
25660.64534375 |
transcript.pyannote[1843].end |
25662.83909375 |
transcript.pyannote[1844].speaker |
SPEAKER_05 |
transcript.pyannote[1844].start |
25663.46346875 |
transcript.pyannote[1844].end |
25665.35346875 |
transcript.pyannote[1845].speaker |
SPEAKER_05 |
transcript.pyannote[1845].start |
25665.43784375 |
transcript.pyannote[1845].end |
25669.92659375 |
transcript.pyannote[1846].speaker |
SPEAKER_16 |
transcript.pyannote[1846].start |
25670.01096875 |
transcript.pyannote[1846].end |
25670.02784375 |
transcript.pyannote[1847].speaker |
SPEAKER_05 |
transcript.pyannote[1847].start |
25670.02784375 |
transcript.pyannote[1847].end |
25671.47909375 |
transcript.pyannote[1848].speaker |
SPEAKER_05 |
transcript.pyannote[1848].start |
25672.00221875 |
transcript.pyannote[1848].end |
25672.01909375 |
transcript.pyannote[1849].speaker |
SPEAKER_16 |
transcript.pyannote[1849].start |
25672.01909375 |
transcript.pyannote[1849].end |
25674.53346875 |
transcript.pyannote[1850].speaker |
SPEAKER_16 |
transcript.pyannote[1850].start |
25675.02284375 |
transcript.pyannote[1850].end |
25678.85346875 |
transcript.pyannote[1851].speaker |
SPEAKER_16 |
transcript.pyannote[1851].start |
25679.12346875 |
transcript.pyannote[1851].end |
25687.03784375 |
transcript.pyannote[1852].speaker |
SPEAKER_16 |
transcript.pyannote[1852].start |
25687.59471875 |
transcript.pyannote[1852].end |
25688.03346875 |
transcript.pyannote[1853].speaker |
SPEAKER_05 |
transcript.pyannote[1853].start |
25688.03346875 |
transcript.pyannote[1853].end |
25695.94784375 |
transcript.pyannote[1854].speaker |
SPEAKER_05 |
transcript.pyannote[1854].start |
25696.21784375 |
transcript.pyannote[1854].end |
25703.65971875 |
transcript.pyannote[1855].speaker |
SPEAKER_16 |
transcript.pyannote[1855].start |
25703.65971875 |
transcript.pyannote[1855].end |
25705.71846875 |
transcript.pyannote[1856].speaker |
SPEAKER_16 |
transcript.pyannote[1856].start |
25706.08971875 |
transcript.pyannote[1856].end |
25707.45659375 |
transcript.pyannote[1857].speaker |
SPEAKER_16 |
transcript.pyannote[1857].start |
25707.77721875 |
transcript.pyannote[1857].end |
25711.27034375 |
transcript.pyannote[1858].speaker |
SPEAKER_16 |
transcript.pyannote[1858].start |
25711.99596875 |
transcript.pyannote[1858].end |
25713.05909375 |
transcript.pyannote[1859].speaker |
SPEAKER_16 |
transcript.pyannote[1859].start |
25713.54846875 |
transcript.pyannote[1859].end |
25721.83409375 |
transcript.pyannote[1860].speaker |
SPEAKER_16 |
transcript.pyannote[1860].start |
25721.88471875 |
transcript.pyannote[1860].end |
25723.50471875 |
transcript.pyannote[1861].speaker |
SPEAKER_16 |
transcript.pyannote[1861].start |
25723.70721875 |
transcript.pyannote[1861].end |
25724.19659375 |
transcript.pyannote[1862].speaker |
SPEAKER_16 |
transcript.pyannote[1862].start |
25724.41596875 |
transcript.pyannote[1862].end |
25725.58034375 |
transcript.pyannote[1863].speaker |
SPEAKER_16 |
transcript.pyannote[1863].start |
25728.76971875 |
transcript.pyannote[1863].end |
25728.78659375 |
transcript.pyannote[1864].speaker |
SPEAKER_18 |
transcript.pyannote[1864].start |
25728.78659375 |
transcript.pyannote[1864].end |
25730.72721875 |
transcript.pyannote[1865].speaker |
SPEAKER_18 |
transcript.pyannote[1865].start |
25731.28409375 |
transcript.pyannote[1865].end |
25733.91659375 |
transcript.pyannote[1866].speaker |
SPEAKER_27 |
transcript.pyannote[1866].start |
25734.03471875 |
transcript.pyannote[1866].end |
25736.54909375 |
transcript.pyannote[1867].speaker |
SPEAKER_18 |
transcript.pyannote[1867].start |
25736.76846875 |
transcript.pyannote[1867].end |
25738.82721875 |
transcript.pyannote[1868].speaker |
SPEAKER_18 |
transcript.pyannote[1868].start |
25739.21534375 |
transcript.pyannote[1868].end |
25740.19409375 |
transcript.pyannote[1869].speaker |
SPEAKER_18 |
transcript.pyannote[1869].start |
25740.54846875 |
transcript.pyannote[1869].end |
25741.40909375 |
transcript.pyannote[1870].speaker |
SPEAKER_18 |
transcript.pyannote[1870].start |
25741.66221875 |
transcript.pyannote[1870].end |
25746.57284375 |
transcript.pyannote[1871].speaker |
SPEAKER_16 |
transcript.pyannote[1871].start |
25748.71596875 |
transcript.pyannote[1871].end |
25750.03221875 |
transcript.pyannote[1872].speaker |
SPEAKER_16 |
transcript.pyannote[1872].start |
25750.47096875 |
transcript.pyannote[1872].end |
25751.82096875 |
transcript.pyannote[1873].speaker |
SPEAKER_16 |
transcript.pyannote[1873].start |
25752.27659375 |
transcript.pyannote[1873].end |
25754.89221875 |
transcript.pyannote[1874].speaker |
SPEAKER_16 |
transcript.pyannote[1874].start |
25754.97659375 |
transcript.pyannote[1874].end |
25757.71034375 |
transcript.pyannote[1875].speaker |
SPEAKER_16 |
transcript.pyannote[1875].start |
25758.14909375 |
transcript.pyannote[1875].end |
25763.58284375 |
transcript.pyannote[1876].speaker |
SPEAKER_16 |
transcript.pyannote[1876].start |
25764.10596875 |
transcript.pyannote[1876].end |
25765.48971875 |
transcript.pyannote[1877].speaker |
SPEAKER_16 |
transcript.pyannote[1877].start |
25765.99596875 |
transcript.pyannote[1877].end |
25767.90284375 |
transcript.pyannote[1878].speaker |
SPEAKER_16 |
transcript.pyannote[1878].start |
25768.49346875 |
transcript.pyannote[1878].end |
25772.15534375 |
transcript.pyannote[1879].speaker |
SPEAKER_16 |
transcript.pyannote[1879].start |
25772.81346875 |
transcript.pyannote[1879].end |
25773.65721875 |
transcript.pyannote[1880].speaker |
SPEAKER_16 |
transcript.pyannote[1880].start |
25774.12971875 |
transcript.pyannote[1880].end |
25774.78784375 |
transcript.pyannote[1881].speaker |
SPEAKER_16 |
transcript.pyannote[1881].start |
25775.37846875 |
transcript.pyannote[1881].end |
25776.00284375 |
transcript.pyannote[1882].speaker |
SPEAKER_16 |
transcript.pyannote[1882].start |
25776.28971875 |
transcript.pyannote[1882].end |
25777.60596875 |
transcript.pyannote[1883].speaker |
SPEAKER_16 |
transcript.pyannote[1883].start |
25778.39909375 |
transcript.pyannote[1883].end |
25781.16659375 |
transcript.pyannote[1884].speaker |
SPEAKER_16 |
transcript.pyannote[1884].start |
25781.99346875 |
transcript.pyannote[1884].end |
25785.82409375 |
transcript.pyannote[1885].speaker |
SPEAKER_16 |
transcript.pyannote[1885].start |
25786.06034375 |
transcript.pyannote[1885].end |
25789.38471875 |
transcript.pyannote[1886].speaker |
SPEAKER_16 |
transcript.pyannote[1886].start |
25790.26221875 |
transcript.pyannote[1886].end |
25801.31534375 |
transcript.pyannote[1887].speaker |
SPEAKER_16 |
transcript.pyannote[1887].start |
25802.26034375 |
transcript.pyannote[1887].end |
25811.50784375 |
transcript.pyannote[1888].speaker |
SPEAKER_16 |
transcript.pyannote[1888].start |
25812.09846875 |
transcript.pyannote[1888].end |
25815.52409375 |
transcript.pyannote[1889].speaker |
SPEAKER_16 |
transcript.pyannote[1889].start |
25815.96284375 |
transcript.pyannote[1889].end |
25816.82346875 |
transcript.pyannote[1890].speaker |
SPEAKER_16 |
transcript.pyannote[1890].start |
25817.12721875 |
transcript.pyannote[1890].end |
25818.17346875 |
transcript.pyannote[1891].speaker |
SPEAKER_16 |
transcript.pyannote[1891].start |
25818.46034375 |
transcript.pyannote[1891].end |
25821.32909375 |
transcript.pyannote[1892].speaker |
SPEAKER_16 |
transcript.pyannote[1892].start |
25822.34159375 |
transcript.pyannote[1892].end |
25825.14284375 |
transcript.pyannote[1893].speaker |
SPEAKER_16 |
transcript.pyannote[1893].start |
25825.49721875 |
transcript.pyannote[1893].end |
25829.17596875 |
transcript.pyannote[1894].speaker |
SPEAKER_16 |
transcript.pyannote[1894].start |
25829.78346875 |
transcript.pyannote[1894].end |
25830.93096875 |
transcript.pyannote[1895].speaker |
SPEAKER_16 |
transcript.pyannote[1895].start |
25831.47096875 |
transcript.pyannote[1895].end |
25835.90909375 |
transcript.pyannote[1896].speaker |
SPEAKER_16 |
transcript.pyannote[1896].start |
25836.48284375 |
transcript.pyannote[1896].end |
25838.28846875 |
transcript.pyannote[1897].speaker |
SPEAKER_16 |
transcript.pyannote[1897].start |
25839.08159375 |
transcript.pyannote[1897].end |
25840.83659375 |
transcript.pyannote[1898].speaker |
SPEAKER_16 |
transcript.pyannote[1898].start |
25841.39346875 |
transcript.pyannote[1898].end |
25865.76096875 |
transcript.pyannote[1899].speaker |
SPEAKER_05 |
transcript.pyannote[1899].start |
25866.19971875 |
transcript.pyannote[1899].end |
25869.25409375 |
transcript.pyannote[1900].speaker |
SPEAKER_05 |
transcript.pyannote[1900].start |
25869.64221875 |
transcript.pyannote[1900].end |
25872.08909375 |
transcript.pyannote[1901].speaker |
SPEAKER_05 |
transcript.pyannote[1901].start |
25872.44346875 |
transcript.pyannote[1901].end |
25874.72159375 |
transcript.pyannote[1902].speaker |
SPEAKER_05 |
transcript.pyannote[1902].start |
25875.09284375 |
transcript.pyannote[1902].end |
25878.29909375 |
transcript.pyannote[1903].speaker |
SPEAKER_05 |
transcript.pyannote[1903].start |
25878.67034375 |
transcript.pyannote[1903].end |
25881.30284375 |
transcript.pyannote[1904].speaker |
SPEAKER_05 |
transcript.pyannote[1904].start |
25881.58971875 |
transcript.pyannote[1904].end |
25882.73721875 |
transcript.pyannote[1905].speaker |
SPEAKER_05 |
transcript.pyannote[1905].start |
25883.17596875 |
transcript.pyannote[1905].end |
25884.45846875 |
transcript.pyannote[1906].speaker |
SPEAKER_05 |
transcript.pyannote[1906].start |
25884.77909375 |
transcript.pyannote[1906].end |
25886.39909375 |
transcript.pyannote[1907].speaker |
SPEAKER_05 |
transcript.pyannote[1907].start |
25886.65221875 |
transcript.pyannote[1907].end |
25889.94284375 |
transcript.pyannote[1908].speaker |
SPEAKER_05 |
transcript.pyannote[1908].start |
25890.33096875 |
transcript.pyannote[1908].end |
25894.11096875 |
transcript.pyannote[1909].speaker |
SPEAKER_16 |
transcript.pyannote[1909].start |
25893.46971875 |
transcript.pyannote[1909].end |
25894.49909375 |
transcript.pyannote[1910].speaker |
SPEAKER_05 |
transcript.pyannote[1910].start |
25894.49909375 |
transcript.pyannote[1910].end |
25894.51596875 |
transcript.pyannote[1911].speaker |
SPEAKER_16 |
transcript.pyannote[1911].start |
25894.51596875 |
transcript.pyannote[1911].end |
25894.53284375 |
transcript.pyannote[1912].speaker |
SPEAKER_16 |
transcript.pyannote[1912].start |
25895.03909375 |
transcript.pyannote[1912].end |
25897.33409375 |
transcript.pyannote[1913].speaker |
SPEAKER_16 |
transcript.pyannote[1913].start |
25897.75596875 |
transcript.pyannote[1913].end |
25898.56596875 |
transcript.pyannote[1914].speaker |
SPEAKER_16 |
transcript.pyannote[1914].start |
25899.07221875 |
transcript.pyannote[1914].end |
25903.05471875 |
transcript.pyannote[1915].speaker |
SPEAKER_16 |
transcript.pyannote[1915].start |
25903.52721875 |
transcript.pyannote[1915].end |
25908.28596875 |
transcript.pyannote[1916].speaker |
SPEAKER_16 |
transcript.pyannote[1916].start |
25908.69096875 |
transcript.pyannote[1916].end |
25910.29409375 |
transcript.pyannote[1917].speaker |
SPEAKER_16 |
transcript.pyannote[1917].start |
25910.59784375 |
transcript.pyannote[1917].end |
25916.45346875 |
transcript.pyannote[1918].speaker |
SPEAKER_16 |
transcript.pyannote[1918].start |
25917.17909375 |
transcript.pyannote[1918].end |
25927.77659375 |
transcript.pyannote[1919].speaker |
SPEAKER_16 |
transcript.pyannote[1919].start |
25928.24909375 |
transcript.pyannote[1919].end |
25930.00409375 |
transcript.pyannote[1920].speaker |
SPEAKER_16 |
transcript.pyannote[1920].start |
25930.66221875 |
transcript.pyannote[1920].end |
25931.89409375 |
transcript.pyannote[1921].speaker |
SPEAKER_16 |
transcript.pyannote[1921].start |
25932.34971875 |
transcript.pyannote[1921].end |
25934.59409375 |
transcript.pyannote[1922].speaker |
SPEAKER_16 |
transcript.pyannote[1922].start |
25935.06659375 |
transcript.pyannote[1922].end |
25936.16346875 |
transcript.pyannote[1923].speaker |
SPEAKER_16 |
transcript.pyannote[1923].start |
25936.45034375 |
transcript.pyannote[1923].end |
25939.31909375 |
transcript.pyannote[1924].speaker |
SPEAKER_16 |
transcript.pyannote[1924].start |
25939.48784375 |
transcript.pyannote[1924].end |
25946.72721875 |
transcript.pyannote[1925].speaker |
SPEAKER_16 |
transcript.pyannote[1925].start |
25947.04784375 |
transcript.pyannote[1925].end |
25949.64659375 |
transcript.pyannote[1926].speaker |
SPEAKER_16 |
transcript.pyannote[1926].start |
25950.38909375 |
transcript.pyannote[1926].end |
25952.88659375 |
transcript.pyannote[1927].speaker |
SPEAKER_16 |
transcript.pyannote[1927].start |
25953.64596875 |
transcript.pyannote[1927].end |
25956.88596875 |
transcript.pyannote[1928].speaker |
SPEAKER_16 |
transcript.pyannote[1928].start |
25956.93659375 |
transcript.pyannote[1928].end |
25960.63221875 |
transcript.pyannote[1929].speaker |
SPEAKER_16 |
transcript.pyannote[1929].start |
25961.02034375 |
transcript.pyannote[1929].end |
25962.37034375 |
transcript.pyannote[1930].speaker |
SPEAKER_16 |
transcript.pyannote[1930].start |
25962.67409375 |
transcript.pyannote[1930].end |
25964.85096875 |
transcript.pyannote[1931].speaker |
SPEAKER_16 |
transcript.pyannote[1931].start |
25965.22221875 |
transcript.pyannote[1931].end |
25965.84659375 |
transcript.pyannote[1932].speaker |
SPEAKER_05 |
transcript.pyannote[1932].start |
25965.84659375 |
transcript.pyannote[1932].end |
25965.86346875 |
transcript.pyannote[1933].speaker |
SPEAKER_05 |
transcript.pyannote[1933].start |
25966.79159375 |
transcript.pyannote[1933].end |
25969.44096875 |
transcript.pyannote[1934].speaker |
SPEAKER_05 |
transcript.pyannote[1934].start |
25969.86284375 |
transcript.pyannote[1934].end |
25970.45346875 |
transcript.pyannote[1935].speaker |
SPEAKER_05 |
transcript.pyannote[1935].start |
25970.62221875 |
transcript.pyannote[1935].end |
25971.83721875 |
transcript.pyannote[1936].speaker |
SPEAKER_05 |
transcript.pyannote[1936].start |
25972.47846875 |
transcript.pyannote[1936].end |
25975.12784375 |
transcript.pyannote[1937].speaker |
SPEAKER_05 |
transcript.pyannote[1937].start |
25975.26284375 |
transcript.pyannote[1937].end |
25984.29096875 |
transcript.pyannote[1938].speaker |
SPEAKER_27 |
transcript.pyannote[1938].start |
25983.12659375 |
transcript.pyannote[1938].end |
25995.24284375 |
transcript.pyannote[1939].speaker |
SPEAKER_27 |
transcript.pyannote[1939].start |
25995.93471875 |
transcript.pyannote[1939].end |
25998.92159375 |
transcript.pyannote[1940].speaker |
SPEAKER_27 |
transcript.pyannote[1940].start |
25999.30971875 |
transcript.pyannote[1940].end |
26009.01284375 |
transcript.pyannote[1941].speaker |
SPEAKER_27 |
transcript.pyannote[1941].start |
26009.58659375 |
transcript.pyannote[1941].end |
26010.22784375 |
transcript.pyannote[1942].speaker |
SPEAKER_27 |
transcript.pyannote[1942].start |
26010.61596875 |
transcript.pyannote[1942].end |
26025.75284375 |
transcript.pyannote[1943].speaker |
SPEAKER_16 |
transcript.pyannote[1943].start |
26025.95534375 |
transcript.pyannote[1943].end |
26033.71784375 |
transcript.pyannote[1944].speaker |
SPEAKER_16 |
transcript.pyannote[1944].start |
26033.88659375 |
transcript.pyannote[1944].end |
26035.50659375 |
transcript.pyannote[1945].speaker |
SPEAKER_16 |
transcript.pyannote[1945].start |
26035.70909375 |
transcript.pyannote[1945].end |
26041.05846875 |
transcript.pyannote[1946].speaker |
SPEAKER_25 |
transcript.pyannote[1946].start |
26041.21034375 |
transcript.pyannote[1946].end |
26041.63221875 |
transcript.pyannote[1947].speaker |
SPEAKER_16 |
transcript.pyannote[1947].start |
26041.68284375 |
transcript.pyannote[1947].end |
26047.70721875 |
transcript.pyannote[1948].speaker |
SPEAKER_16 |
transcript.pyannote[1948].start |
26048.28096875 |
transcript.pyannote[1948].end |
26051.13284375 |
transcript.pyannote[1949].speaker |
SPEAKER_16 |
transcript.pyannote[1949].start |
26051.72346875 |
transcript.pyannote[1949].end |
26052.39846875 |
transcript.pyannote[1950].speaker |
SPEAKER_16 |
transcript.pyannote[1950].start |
26052.73596875 |
transcript.pyannote[1950].end |
26056.81971875 |
transcript.pyannote[1951].speaker |
SPEAKER_16 |
transcript.pyannote[1951].start |
26057.69721875 |
transcript.pyannote[1951].end |
26058.81096875 |
transcript.pyannote[1952].speaker |
SPEAKER_16 |
transcript.pyannote[1952].start |
26059.03034375 |
transcript.pyannote[1952].end |
26060.98784375 |
transcript.pyannote[1953].speaker |
SPEAKER_16 |
transcript.pyannote[1953].start |
26061.52784375 |
transcript.pyannote[1953].end |
26063.82284375 |
transcript.pyannote[1954].speaker |
SPEAKER_16 |
transcript.pyannote[1954].start |
26064.51471875 |
transcript.pyannote[1954].end |
26065.98284375 |
transcript.pyannote[1955].speaker |
SPEAKER_16 |
transcript.pyannote[1955].start |
26066.35409375 |
transcript.pyannote[1955].end |
26067.38346875 |
transcript.pyannote[1956].speaker |
SPEAKER_16 |
transcript.pyannote[1956].start |
26067.92346875 |
transcript.pyannote[1956].end |
26071.65284375 |
transcript.pyannote[1957].speaker |
SPEAKER_16 |
transcript.pyannote[1957].start |
26072.24346875 |
transcript.pyannote[1957].end |
26077.93034375 |
transcript.pyannote[1958].speaker |
SPEAKER_16 |
transcript.pyannote[1958].start |
26078.38596875 |
transcript.pyannote[1958].end |
26079.88784375 |
transcript.pyannote[1959].speaker |
SPEAKER_16 |
transcript.pyannote[1959].start |
26080.15784375 |
transcript.pyannote[1959].end |
26083.93784375 |
transcript.pyannote[1960].speaker |
SPEAKER_16 |
transcript.pyannote[1960].start |
26084.32596875 |
transcript.pyannote[1960].end |
26085.64221875 |
transcript.pyannote[1961].speaker |
SPEAKER_16 |
transcript.pyannote[1961].start |
26086.16534375 |
transcript.pyannote[1961].end |
26087.02596875 |
transcript.pyannote[1962].speaker |
SPEAKER_16 |
transcript.pyannote[1962].start |
26087.36346875 |
transcript.pyannote[1962].end |
26088.47721875 |
transcript.pyannote[1963].speaker |
SPEAKER_16 |
transcript.pyannote[1963].start |
26089.92846875 |
transcript.pyannote[1963].end |
26092.32471875 |
transcript.pyannote[1964].speaker |
SPEAKER_16 |
transcript.pyannote[1964].start |
26093.40471875 |
transcript.pyannote[1964].end |
26102.66909375 |
transcript.pyannote[1965].speaker |
SPEAKER_16 |
transcript.pyannote[1965].start |
26103.12471875 |
transcript.pyannote[1965].end |
26105.68971875 |
transcript.pyannote[1966].speaker |
SPEAKER_16 |
transcript.pyannote[1966].start |
26106.14534375 |
transcript.pyannote[1966].end |
26106.44909375 |
transcript.pyannote[1967].speaker |
SPEAKER_16 |
transcript.pyannote[1967].start |
26106.85409375 |
transcript.pyannote[1967].end |
26108.03534375 |
transcript.pyannote[1968].speaker |
SPEAKER_16 |
transcript.pyannote[1968].start |
26108.35596875 |
transcript.pyannote[1968].end |
26110.76909375 |
transcript.pyannote[1969].speaker |
SPEAKER_16 |
transcript.pyannote[1969].start |
26111.44409375 |
transcript.pyannote[1969].end |
26119.25721875 |
transcript.pyannote[1970].speaker |
SPEAKER_16 |
transcript.pyannote[1970].start |
26119.88159375 |
transcript.pyannote[1970].end |
26140.53659375 |
transcript.pyannote[1971].speaker |
SPEAKER_16 |
transcript.pyannote[1971].start |
26141.02596875 |
transcript.pyannote[1971].end |
26149.71659375 |
transcript.pyannote[1972].speaker |
SPEAKER_16 |
transcript.pyannote[1972].start |
26150.69534375 |
transcript.pyannote[1972].end |
26152.83846875 |
transcript.pyannote[1973].speaker |
SPEAKER_05 |
transcript.pyannote[1973].start |
26153.22659375 |
transcript.pyannote[1973].end |
26155.74096875 |
transcript.pyannote[1974].speaker |
SPEAKER_05 |
transcript.pyannote[1974].start |
26155.89284375 |
transcript.pyannote[1974].end |
26156.28096875 |
transcript.pyannote[1975].speaker |
SPEAKER_05 |
transcript.pyannote[1975].start |
26156.50034375 |
transcript.pyannote[1975].end |
26158.91346875 |
transcript.pyannote[1976].speaker |
SPEAKER_05 |
transcript.pyannote[1976].start |
26159.28471875 |
transcript.pyannote[1976].end |
26163.30096875 |
transcript.pyannote[1977].speaker |
SPEAKER_05 |
transcript.pyannote[1977].start |
26163.40221875 |
transcript.pyannote[1977].end |
26164.19534375 |
transcript.pyannote[1978].speaker |
SPEAKER_05 |
transcript.pyannote[1978].start |
26164.46534375 |
transcript.pyannote[1978].end |
26176.39596875 |
transcript.pyannote[1979].speaker |
SPEAKER_16 |
transcript.pyannote[1979].start |
26173.93221875 |
transcript.pyannote[1979].end |
26174.74221875 |
transcript.pyannote[1980].speaker |
SPEAKER_16 |
transcript.pyannote[1980].start |
26175.83909375 |
transcript.pyannote[1980].end |
26180.07471875 |
transcript.pyannote[1981].speaker |
SPEAKER_16 |
transcript.pyannote[1981].start |
26180.42909375 |
transcript.pyannote[1981].end |
26185.52534375 |
transcript.pyannote[1982].speaker |
SPEAKER_16 |
transcript.pyannote[1982].start |
26185.57596875 |
transcript.pyannote[1982].end |
26192.88284375 |
transcript.pyannote[1983].speaker |
SPEAKER_16 |
transcript.pyannote[1983].start |
26193.33846875 |
transcript.pyannote[1983].end |
26195.58284375 |
transcript.pyannote[1984].speaker |
SPEAKER_16 |
transcript.pyannote[1984].start |
26196.00471875 |
transcript.pyannote[1984].end |
26197.69221875 |
transcript.pyannote[1985].speaker |
SPEAKER_16 |
transcript.pyannote[1985].start |
26198.29971875 |
transcript.pyannote[1985].end |
26199.16034375 |
transcript.pyannote[1986].speaker |
SPEAKER_16 |
transcript.pyannote[1986].start |
26200.02096875 |
transcript.pyannote[1986].end |
26202.34971875 |
transcript.pyannote[1987].speaker |
SPEAKER_16 |
transcript.pyannote[1987].start |
26202.78846875 |
transcript.pyannote[1987].end |
26205.45471875 |
transcript.pyannote[1988].speaker |
SPEAKER_16 |
transcript.pyannote[1988].start |
26205.57284375 |
transcript.pyannote[1988].end |
26206.68659375 |
transcript.pyannote[1989].speaker |
SPEAKER_16 |
transcript.pyannote[1989].start |
26206.95659375 |
transcript.pyannote[1989].end |
26211.00659375 |
transcript.pyannote[1990].speaker |
SPEAKER_16 |
transcript.pyannote[1990].start |
26211.46221875 |
transcript.pyannote[1990].end |
26213.75721875 |
transcript.pyannote[1991].speaker |
SPEAKER_16 |
transcript.pyannote[1991].start |
26213.97659375 |
transcript.pyannote[1991].end |
26220.20346875 |
transcript.pyannote[1992].speaker |
SPEAKER_16 |
transcript.pyannote[1992].start |
26220.47346875 |
transcript.pyannote[1992].end |
26225.85659375 |
transcript.pyannote[1993].speaker |
SPEAKER_16 |
transcript.pyannote[1993].start |
26226.53159375 |
transcript.pyannote[1993].end |
26233.95659375 |
transcript.pyannote[1994].speaker |
SPEAKER_16 |
transcript.pyannote[1994].start |
26234.19284375 |
transcript.pyannote[1994].end |
26235.37409375 |
transcript.pyannote[1995].speaker |
SPEAKER_16 |
transcript.pyannote[1995].start |
26235.71159375 |
transcript.pyannote[1995].end |
26244.57096875 |
transcript.pyannote[1996].speaker |
SPEAKER_16 |
transcript.pyannote[1996].start |
26245.43159375 |
transcript.pyannote[1996].end |
26258.72909375 |
transcript.pyannote[1997].speaker |
SPEAKER_16 |
transcript.pyannote[1997].start |
26258.96534375 |
transcript.pyannote[1997].end |
26262.42471875 |
transcript.pyannote[1998].speaker |
SPEAKER_16 |
transcript.pyannote[1998].start |
26262.82971875 |
transcript.pyannote[1998].end |
26263.82534375 |
transcript.pyannote[1999].speaker |
SPEAKER_16 |
transcript.pyannote[1999].start |
26264.14596875 |
transcript.pyannote[1999].end |
26264.92221875 |
transcript.pyannote[2000].speaker |
SPEAKER_16 |
transcript.pyannote[2000].start |
26265.86721875 |
transcript.pyannote[2000].end |
26268.02721875 |
transcript.pyannote[2001].speaker |
SPEAKER_16 |
transcript.pyannote[2001].start |
26268.56721875 |
transcript.pyannote[2001].end |
26273.41034375 |
transcript.pyannote[2002].speaker |
SPEAKER_16 |
transcript.pyannote[2002].start |
26273.74784375 |
transcript.pyannote[2002].end |
26275.19909375 |
transcript.pyannote[2003].speaker |
SPEAKER_16 |
transcript.pyannote[2003].start |
26275.58721875 |
transcript.pyannote[2003].end |
26282.35409375 |
transcript.pyannote[2004].speaker |
SPEAKER_16 |
transcript.pyannote[2004].start |
26282.50596875 |
transcript.pyannote[2004].end |
26283.45096875 |
transcript.pyannote[2005].speaker |
SPEAKER_16 |
transcript.pyannote[2005].start |
26284.54784375 |
transcript.pyannote[2005].end |
26285.74596875 |
transcript.pyannote[2006].speaker |
SPEAKER_16 |
transcript.pyannote[2006].start |
26286.21846875 |
transcript.pyannote[2006].end |
26286.92721875 |
transcript.pyannote[2007].speaker |
SPEAKER_16 |
transcript.pyannote[2007].start |
26287.99034375 |
transcript.pyannote[2007].end |
26288.64846875 |
transcript.pyannote[2008].speaker |
SPEAKER_16 |
transcript.pyannote[2008].start |
26289.10409375 |
transcript.pyannote[2008].end |
26289.66096875 |
transcript.pyannote[2009].speaker |
SPEAKER_16 |
transcript.pyannote[2009].start |
26290.53846875 |
transcript.pyannote[2009].end |
26307.22784375 |
transcript.pyannote[2010].speaker |
SPEAKER_16 |
transcript.pyannote[2010].start |
26307.54846875 |
transcript.pyannote[2010].end |
26311.15971875 |
transcript.pyannote[2011].speaker |
SPEAKER_16 |
transcript.pyannote[2011].start |
26311.93596875 |
transcript.pyannote[2011].end |
26316.22221875 |
transcript.pyannote[2012].speaker |
SPEAKER_16 |
transcript.pyannote[2012].start |
26316.71159375 |
transcript.pyannote[2012].end |
26319.41159375 |
transcript.pyannote[2013].speaker |
SPEAKER_16 |
transcript.pyannote[2013].start |
26319.78284375 |
transcript.pyannote[2013].end |
26331.66284375 |
transcript.pyannote[2014].speaker |
SPEAKER_05 |
transcript.pyannote[2014].start |
26331.66284375 |
transcript.pyannote[2014].end |
26331.78096875 |
transcript.pyannote[2015].speaker |
SPEAKER_05 |
transcript.pyannote[2015].start |
26331.89909375 |
transcript.pyannote[2015].end |
26331.94971875 |
transcript.pyannote[2016].speaker |
SPEAKER_16 |
transcript.pyannote[2016].start |
26331.94971875 |
transcript.pyannote[2016].end |
26332.03409375 |
transcript.pyannote[2017].speaker |
SPEAKER_05 |
transcript.pyannote[2017].start |
26332.03409375 |
transcript.pyannote[2017].end |
26354.68034375 |
transcript.pyannote[2018].speaker |
SPEAKER_00 |
transcript.pyannote[2018].start |
26340.43784375 |
transcript.pyannote[2018].end |
26340.79221875 |
transcript.pyannote[2019].speaker |
SPEAKER_31 |
transcript.pyannote[2019].start |
26340.79221875 |
transcript.pyannote[2019].end |
26340.89346875 |
transcript.pyannote[2020].speaker |
SPEAKER_00 |
transcript.pyannote[2020].start |
26340.89346875 |
transcript.pyannote[2020].end |
26341.51784375 |
transcript.pyannote[2021].speaker |
SPEAKER_00 |
transcript.pyannote[2021].start |
26344.11659375 |
transcript.pyannote[2021].end |
26344.57221875 |
transcript.pyannote[2022].speaker |
SPEAKER_16 |
transcript.pyannote[2022].start |
26351.86221875 |
transcript.pyannote[2022].end |
26352.21659375 |
transcript.pyannote[2023].speaker |
SPEAKER_16 |
transcript.pyannote[2023].start |
26353.00971875 |
transcript.pyannote[2023].end |
26354.71409375 |
transcript.pyannote[2024].speaker |
SPEAKER_05 |
transcript.pyannote[2024].start |
26354.71409375 |
transcript.pyannote[2024].end |
26354.96721875 |
transcript.pyannote[2025].speaker |
SPEAKER_16 |
transcript.pyannote[2025].start |
26354.96721875 |
transcript.pyannote[2025].end |
26389.66221875 |
transcript.pyannote[2026].speaker |
SPEAKER_16 |
transcript.pyannote[2026].start |
26398.65659375 |
transcript.pyannote[2026].end |
26400.41159375 |
transcript.pyannote[2027].speaker |
SPEAKER_16 |
transcript.pyannote[2027].start |
26400.90096875 |
transcript.pyannote[2027].end |
26404.05659375 |
transcript.pyannote[2028].speaker |
SPEAKER_16 |
transcript.pyannote[2028].start |
26404.15784375 |
transcript.pyannote[2028].end |
26405.03534375 |
transcript.pyannote[2029].speaker |
SPEAKER_28 |
transcript.pyannote[2029].start |
26410.41846875 |
transcript.pyannote[2029].end |
26413.69221875 |
transcript.pyannote[2030].speaker |
SPEAKER_28 |
transcript.pyannote[2030].start |
26416.51034375 |
transcript.pyannote[2030].end |
26419.46346875 |
transcript.pyannote[2031].speaker |
SPEAKER_10 |
transcript.pyannote[2031].start |
26426.26409375 |
transcript.pyannote[2031].end |
26429.03159375 |
transcript.pyannote[2032].speaker |
SPEAKER_28 |
transcript.pyannote[2032].start |
26429.30159375 |
transcript.pyannote[2032].end |
26430.07784375 |
transcript.pyannote[2033].speaker |
SPEAKER_10 |
transcript.pyannote[2033].start |
26429.94284375 |
transcript.pyannote[2033].end |
26430.87096875 |
transcript.pyannote[2034].speaker |
SPEAKER_28 |
transcript.pyannote[2034].start |
26430.88784375 |
transcript.pyannote[2034].end |
26431.68096875 |
transcript.pyannote[2035].speaker |
SPEAKER_10 |
transcript.pyannote[2035].start |
26431.61346875 |
transcript.pyannote[2035].end |
26433.03096875 |
transcript.pyannote[2036].speaker |
SPEAKER_28 |
transcript.pyannote[2036].start |
26433.13221875 |
transcript.pyannote[2036].end |
26434.98846875 |
transcript.pyannote[2037].speaker |
SPEAKER_05 |
transcript.pyannote[2037].start |
26444.96159375 |
transcript.pyannote[2037].end |
26444.97846875 |
transcript.pyannote[2038].speaker |
SPEAKER_10 |
transcript.pyannote[2038].start |
26444.97846875 |
transcript.pyannote[2038].end |
26445.48471875 |
transcript.pyannote[2039].speaker |
SPEAKER_05 |
transcript.pyannote[2039].start |
26444.99534375 |
transcript.pyannote[2039].end |
26445.21471875 |
transcript.pyannote[2040].speaker |
SPEAKER_05 |
transcript.pyannote[2040].start |
26445.48471875 |
transcript.pyannote[2040].end |
26445.55221875 |
transcript.pyannote[2041].speaker |
SPEAKER_10 |
transcript.pyannote[2041].start |
26445.55221875 |
transcript.pyannote[2041].end |
26445.58596875 |
transcript.pyannote[2042].speaker |
SPEAKER_10 |
transcript.pyannote[2042].start |
26445.67034375 |
transcript.pyannote[2042].end |
26447.10471875 |
transcript.pyannote[2043].speaker |
SPEAKER_10 |
transcript.pyannote[2043].start |
26447.74596875 |
transcript.pyannote[2043].end |
26453.41596875 |
transcript.pyannote[2044].speaker |
SPEAKER_10 |
transcript.pyannote[2044].start |
26454.02346875 |
transcript.pyannote[2044].end |
26494.15221875 |
transcript.pyannote[2045].speaker |
SPEAKER_10 |
transcript.pyannote[2045].start |
26494.54034375 |
transcript.pyannote[2045].end |
26496.85221875 |
transcript.pyannote[2046].speaker |
SPEAKER_10 |
transcript.pyannote[2046].start |
26497.07159375 |
transcript.pyannote[2046].end |
26522.70471875 |
transcript.pyannote[2047].speaker |
SPEAKER_10 |
transcript.pyannote[2047].start |
26522.85659375 |
transcript.pyannote[2047].end |
26550.75096875 |
transcript.pyannote[2048].speaker |
SPEAKER_10 |
transcript.pyannote[2048].start |
26551.15596875 |
transcript.pyannote[2048].end |
26552.91096875 |
transcript.pyannote[2049].speaker |
SPEAKER_10 |
transcript.pyannote[2049].start |
26553.28221875 |
transcript.pyannote[2049].end |
26556.04971875 |
transcript.pyannote[2050].speaker |
SPEAKER_10 |
transcript.pyannote[2050].start |
26556.30284375 |
transcript.pyannote[2050].end |
26563.82909375 |
transcript.pyannote[2051].speaker |
SPEAKER_10 |
transcript.pyannote[2051].start |
26564.25096875 |
transcript.pyannote[2051].end |
26565.83721875 |
transcript.pyannote[2052].speaker |
SPEAKER_10 |
transcript.pyannote[2052].start |
26566.78221875 |
transcript.pyannote[2052].end |
26570.17409375 |
transcript.pyannote[2053].speaker |
SPEAKER_10 |
transcript.pyannote[2053].start |
26570.68034375 |
transcript.pyannote[2053].end |
26585.54721875 |
transcript.pyannote[2054].speaker |
SPEAKER_10 |
transcript.pyannote[2054].start |
26585.66534375 |
transcript.pyannote[2054].end |
26605.61159375 |
transcript.pyannote[2055].speaker |
SPEAKER_05 |
transcript.pyannote[2055].start |
26606.15159375 |
transcript.pyannote[2055].end |
26609.62784375 |
transcript.pyannote[2056].speaker |
SPEAKER_05 |
transcript.pyannote[2056].start |
26609.83034375 |
transcript.pyannote[2056].end |
26612.85096875 |
transcript.pyannote[2057].speaker |
SPEAKER_05 |
transcript.pyannote[2057].start |
26613.55971875 |
transcript.pyannote[2057].end |
26616.24284375 |
transcript.pyannote[2058].speaker |
SPEAKER_05 |
transcript.pyannote[2058].start |
26616.47909375 |
transcript.pyannote[2058].end |
26617.62659375 |
transcript.pyannote[2059].speaker |
SPEAKER_05 |
transcript.pyannote[2059].start |
26617.96409375 |
transcript.pyannote[2059].end |
26618.72346875 |
transcript.pyannote[2060].speaker |
SPEAKER_05 |
transcript.pyannote[2060].start |
26619.14534375 |
transcript.pyannote[2060].end |
26625.27096875 |
transcript.pyannote[2061].speaker |
SPEAKER_10 |
transcript.pyannote[2061].start |
26624.47784375 |
transcript.pyannote[2061].end |
26630.85659375 |
transcript.pyannote[2062].speaker |
SPEAKER_10 |
transcript.pyannote[2062].start |
26631.24471875 |
transcript.pyannote[2062].end |
26643.71534375 |
transcript.pyannote[2063].speaker |
SPEAKER_05 |
transcript.pyannote[2063].start |
26644.76159375 |
transcript.pyannote[2063].end |
26654.49846875 |
transcript.pyannote[2064].speaker |
SPEAKER_10 |
transcript.pyannote[2064].start |
26648.11971875 |
transcript.pyannote[2064].end |
26648.22096875 |
transcript.pyannote[2065].speaker |
SPEAKER_25 |
transcript.pyannote[2065].start |
26648.22096875 |
transcript.pyannote[2065].end |
26648.23784375 |
transcript.pyannote[2066].speaker |
SPEAKER_10 |
transcript.pyannote[2066].start |
26648.23784375 |
transcript.pyannote[2066].end |
26649.41909375 |
transcript.pyannote[2067].speaker |
SPEAKER_05 |
transcript.pyannote[2067].start |
26654.56596875 |
transcript.pyannote[2067].end |
26658.83534375 |
transcript.pyannote[2068].speaker |
SPEAKER_10 |
transcript.pyannote[2068].start |
26657.46846875 |
transcript.pyannote[2068].end |
26657.85659375 |
transcript.pyannote[2069].speaker |
SPEAKER_10 |
transcript.pyannote[2069].start |
26658.07596875 |
transcript.pyannote[2069].end |
26667.35721875 |
transcript.pyannote[2070].speaker |
SPEAKER_10 |
transcript.pyannote[2070].start |
26667.50909375 |
transcript.pyannote[2070].end |
26668.25159375 |
transcript.pyannote[2071].speaker |
SPEAKER_10 |
transcript.pyannote[2071].start |
26668.63971875 |
transcript.pyannote[2071].end |
26682.20721875 |
transcript.pyannote[2072].speaker |
SPEAKER_10 |
transcript.pyannote[2072].start |
26682.30846875 |
transcript.pyannote[2072].end |
26685.17721875 |
transcript.pyannote[2073].speaker |
SPEAKER_10 |
transcript.pyannote[2073].start |
26685.53159375 |
transcript.pyannote[2073].end |
26688.88971875 |
transcript.pyannote[2074].speaker |
SPEAKER_17 |
transcript.pyannote[2074].start |
26689.78409375 |
transcript.pyannote[2074].end |
26707.14846875 |
transcript.pyannote[2075].speaker |
SPEAKER_10 |
transcript.pyannote[2075].start |
26694.84659375 |
transcript.pyannote[2075].end |
26697.51284375 |
transcript.pyannote[2076].speaker |
SPEAKER_10 |
transcript.pyannote[2076].start |
26704.87034375 |
transcript.pyannote[2076].end |
26709.47721875 |
transcript.pyannote[2077].speaker |
SPEAKER_17 |
transcript.pyannote[2077].start |
26709.10596875 |
transcript.pyannote[2077].end |
26722.40346875 |
transcript.pyannote[2078].speaker |
SPEAKER_10 |
transcript.pyannote[2078].start |
26712.24471875 |
transcript.pyannote[2078].end |
26713.24034375 |
transcript.pyannote[2079].speaker |
SPEAKER_10 |
transcript.pyannote[2079].start |
26722.26846875 |
transcript.pyannote[2079].end |
26765.09721875 |
transcript.pyannote[2080].speaker |
SPEAKER_07 |
transcript.pyannote[2080].start |
26733.30471875 |
transcript.pyannote[2080].end |
26733.62534375 |
transcript.pyannote[2081].speaker |
SPEAKER_09 |
transcript.pyannote[2081].start |
26733.62534375 |
transcript.pyannote[2081].end |
26733.65909375 |
transcript.pyannote[2082].speaker |
SPEAKER_10 |
transcript.pyannote[2082].start |
26765.43471875 |
transcript.pyannote[2082].end |
26771.62784375 |
transcript.pyannote[2083].speaker |
SPEAKER_10 |
transcript.pyannote[2083].start |
26772.20159375 |
transcript.pyannote[2083].end |
26779.17096875 |
transcript.pyannote[2084].speaker |
SPEAKER_10 |
transcript.pyannote[2084].start |
26779.55909375 |
transcript.pyannote[2084].end |
26781.39846875 |
transcript.pyannote[2085].speaker |
SPEAKER_10 |
transcript.pyannote[2085].start |
26782.93409375 |
transcript.pyannote[2085].end |
26783.33909375 |
transcript.pyannote[2086].speaker |
SPEAKER_27 |
transcript.pyannote[2086].start |
26783.33909375 |
transcript.pyannote[2086].end |
26783.37284375 |
transcript.pyannote[2087].speaker |
SPEAKER_27 |
transcript.pyannote[2087].start |
26784.18284375 |
transcript.pyannote[2087].end |
26787.47346875 |
transcript.pyannote[2088].speaker |
SPEAKER_27 |
transcript.pyannote[2088].start |
26787.62534375 |
transcript.pyannote[2088].end |
26790.89909375 |
transcript.pyannote[2089].speaker |
SPEAKER_06 |
transcript.pyannote[2089].start |
26788.23284375 |
transcript.pyannote[2089].end |
26788.24971875 |
transcript.pyannote[2090].speaker |
SPEAKER_10 |
transcript.pyannote[2090].start |
26788.24971875 |
transcript.pyannote[2090].end |
26789.02596875 |
transcript.pyannote[2091].speaker |
SPEAKER_27 |
transcript.pyannote[2091].start |
26790.96659375 |
transcript.pyannote[2091].end |
26792.87346875 |
transcript.pyannote[2092].speaker |
SPEAKER_27 |
transcript.pyannote[2092].start |
26793.63284375 |
transcript.pyannote[2092].end |
26795.21909375 |
transcript.pyannote[2093].speaker |
SPEAKER_10 |
transcript.pyannote[2093].start |
26793.88596875 |
transcript.pyannote[2093].end |
26795.13471875 |
transcript.pyannote[2094].speaker |
SPEAKER_27 |
transcript.pyannote[2094].start |
26795.32034375 |
transcript.pyannote[2094].end |
26798.29034375 |
transcript.pyannote[2095].speaker |
SPEAKER_10 |
transcript.pyannote[2095].start |
26795.38784375 |
transcript.pyannote[2095].end |
26796.33284375 |
transcript.pyannote[2096].speaker |
SPEAKER_10 |
transcript.pyannote[2096].start |
26796.99096875 |
transcript.pyannote[2096].end |
26798.15534375 |
transcript.pyannote[2097].speaker |
SPEAKER_27 |
transcript.pyannote[2097].start |
26798.54346875 |
transcript.pyannote[2097].end |
26802.42471875 |
transcript.pyannote[2098].speaker |
SPEAKER_27 |
transcript.pyannote[2098].start |
26803.21784375 |
transcript.pyannote[2098].end |
26804.36534375 |
transcript.pyannote[2099].speaker |
SPEAKER_27 |
transcript.pyannote[2099].start |
26804.44971875 |
transcript.pyannote[2099].end |
26809.56284375 |
transcript.pyannote[2100].speaker |
SPEAKER_27 |
transcript.pyannote[2100].start |
26810.06909375 |
transcript.pyannote[2100].end |
26811.97596875 |
transcript.pyannote[2101].speaker |
SPEAKER_10 |
transcript.pyannote[2101].start |
26811.97596875 |
transcript.pyannote[2101].end |
26812.16159375 |
transcript.pyannote[2102].speaker |
SPEAKER_10 |
transcript.pyannote[2102].start |
26813.41034375 |
transcript.pyannote[2102].end |
26818.70909375 |
transcript.pyannote[2103].speaker |
SPEAKER_27 |
transcript.pyannote[2103].start |
26813.93346875 |
transcript.pyannote[2103].end |
26815.45221875 |
transcript.pyannote[2104].speaker |
SPEAKER_27 |
transcript.pyannote[2104].start |
26819.55284375 |
transcript.pyannote[2104].end |
26820.85221875 |
transcript.pyannote[2105].speaker |
SPEAKER_10 |
transcript.pyannote[2105].start |
26821.18971875 |
transcript.pyannote[2105].end |
26821.93221875 |
transcript.pyannote[2106].speaker |
SPEAKER_10 |
transcript.pyannote[2106].start |
26824.09221875 |
transcript.pyannote[2106].end |
26825.39159375 |
transcript.pyannote[2107].speaker |
SPEAKER_10 |
transcript.pyannote[2107].start |
26826.23534375 |
transcript.pyannote[2107].end |
26826.60659375 |
transcript.pyannote[2108].speaker |
SPEAKER_10 |
transcript.pyannote[2108].start |
26826.89346875 |
transcript.pyannote[2108].end |
26828.09159375 |
transcript.pyannote[2109].speaker |
SPEAKER_10 |
transcript.pyannote[2109].start |
26828.34471875 |
transcript.pyannote[2109].end |
26830.60596875 |
transcript.pyannote[2110].speaker |
SPEAKER_10 |
transcript.pyannote[2110].start |
26830.92659375 |
transcript.pyannote[2110].end |
26836.63034375 |
transcript.pyannote[2111].speaker |
SPEAKER_10 |
transcript.pyannote[2111].start |
26837.17034375 |
transcript.pyannote[2111].end |
26841.55784375 |
transcript.pyannote[2112].speaker |
SPEAKER_10 |
transcript.pyannote[2112].start |
26841.82784375 |
transcript.pyannote[2112].end |
26847.75096875 |
transcript.pyannote[2113].speaker |
SPEAKER_10 |
transcript.pyannote[2113].start |
26847.80159375 |
transcript.pyannote[2113].end |
26852.61096875 |
transcript.pyannote[2114].speaker |
SPEAKER_10 |
transcript.pyannote[2114].start |
26852.83034375 |
transcript.pyannote[2114].end |
26856.10409375 |
transcript.pyannote[2115].speaker |
SPEAKER_10 |
transcript.pyannote[2115].start |
26856.25596875 |
transcript.pyannote[2115].end |
26860.20471875 |
transcript.pyannote[2116].speaker |
SPEAKER_10 |
transcript.pyannote[2116].start |
26860.79534375 |
transcript.pyannote[2116].end |
26863.27596875 |
transcript.pyannote[2117].speaker |
SPEAKER_10 |
transcript.pyannote[2117].start |
26863.86659375 |
transcript.pyannote[2117].end |
26868.94596875 |
transcript.pyannote[2118].speaker |
SPEAKER_10 |
transcript.pyannote[2118].start |
26869.09784375 |
transcript.pyannote[2118].end |
26881.09596875 |
transcript.pyannote[2119].speaker |
SPEAKER_10 |
transcript.pyannote[2119].start |
26881.33221875 |
transcript.pyannote[2119].end |
26891.23784375 |
transcript.pyannote[2120].speaker |
SPEAKER_10 |
transcript.pyannote[2120].start |
26891.76096875 |
transcript.pyannote[2120].end |
26894.96721875 |
transcript.pyannote[2121].speaker |
SPEAKER_10 |
transcript.pyannote[2121].start |
26895.27096875 |
transcript.pyannote[2121].end |
26896.46909375 |
transcript.pyannote[2122].speaker |
SPEAKER_10 |
transcript.pyannote[2122].start |
26896.51971875 |
transcript.pyannote[2122].end |
26897.88659375 |
transcript.pyannote[2123].speaker |
SPEAKER_10 |
transcript.pyannote[2123].start |
26898.22409375 |
transcript.pyannote[2123].end |
26899.52346875 |
transcript.pyannote[2124].speaker |
SPEAKER_10 |
transcript.pyannote[2124].start |
26899.62471875 |
transcript.pyannote[2124].end |
26902.57784375 |
transcript.pyannote[2125].speaker |
SPEAKER_10 |
transcript.pyannote[2125].start |
26903.18534375 |
transcript.pyannote[2125].end |
26905.41284375 |
transcript.pyannote[2126].speaker |
SPEAKER_10 |
transcript.pyannote[2126].start |
26905.61534375 |
transcript.pyannote[2126].end |
26921.89971875 |
transcript.pyannote[2127].speaker |
SPEAKER_10 |
transcript.pyannote[2127].start |
26922.01784375 |
transcript.pyannote[2127].end |
26922.84471875 |
transcript.pyannote[2128].speaker |
SPEAKER_10 |
transcript.pyannote[2128].start |
26922.97971875 |
transcript.pyannote[2128].end |
26937.55971875 |
transcript.pyannote[2129].speaker |
SPEAKER_10 |
transcript.pyannote[2129].start |
26937.91409375 |
transcript.pyannote[2129].end |
26949.79409375 |
transcript.pyannote[2130].speaker |
SPEAKER_10 |
transcript.pyannote[2130].start |
26950.45221875 |
transcript.pyannote[2130].end |
26951.02596875 |
transcript.pyannote[2131].speaker |
SPEAKER_10 |
transcript.pyannote[2131].start |
26951.34659375 |
transcript.pyannote[2131].end |
26954.90721875 |
transcript.pyannote[2132].speaker |
SPEAKER_10 |
transcript.pyannote[2132].start |
26955.49784375 |
transcript.pyannote[2132].end |
26962.28159375 |
transcript.pyannote[2133].speaker |
SPEAKER_10 |
transcript.pyannote[2133].start |
26962.43346875 |
transcript.pyannote[2133].end |
26963.24346875 |
transcript.pyannote[2134].speaker |
SPEAKER_10 |
transcript.pyannote[2134].start |
26963.51346875 |
transcript.pyannote[2134].end |
26965.82534375 |
transcript.pyannote[2135].speaker |
SPEAKER_10 |
transcript.pyannote[2135].start |
26967.00659375 |
transcript.pyannote[2135].end |
26971.20846875 |
transcript.pyannote[2136].speaker |
SPEAKER_10 |
transcript.pyannote[2136].start |
26971.68096875 |
transcript.pyannote[2136].end |
26974.61721875 |
transcript.pyannote[2137].speaker |
SPEAKER_10 |
transcript.pyannote[2137].start |
26975.22471875 |
transcript.pyannote[2137].end |
26975.79846875 |
transcript.pyannote[2138].speaker |
SPEAKER_10 |
transcript.pyannote[2138].start |
26976.30471875 |
transcript.pyannote[2138].end |
26976.82784375 |
transcript.pyannote[2139].speaker |
SPEAKER_10 |
transcript.pyannote[2139].start |
26976.94596875 |
transcript.pyannote[2139].end |
26987.94846875 |
transcript.pyannote[2140].speaker |
SPEAKER_10 |
transcript.pyannote[2140].start |
26988.31971875 |
transcript.pyannote[2140].end |
26999.96346875 |
transcript.pyannote[2141].speaker |
SPEAKER_10 |
transcript.pyannote[2141].start |
27000.33471875 |
transcript.pyannote[2141].end |
27000.67221875 |
transcript.pyannote[2142].speaker |
SPEAKER_10 |
transcript.pyannote[2142].start |
27001.09409375 |
transcript.pyannote[2142].end |
27001.60034375 |
transcript.pyannote[2143].speaker |
SPEAKER_10 |
transcript.pyannote[2143].start |
27002.03909375 |
transcript.pyannote[2143].end |
27002.59596875 |
transcript.pyannote[2144].speaker |
SPEAKER_10 |
transcript.pyannote[2144].start |
27003.65909375 |
transcript.pyannote[2144].end |
27004.21596875 |
transcript.pyannote[2145].speaker |
SPEAKER_10 |
transcript.pyannote[2145].start |
27004.68846875 |
transcript.pyannote[2145].end |
27007.84409375 |
transcript.pyannote[2146].speaker |
SPEAKER_10 |
transcript.pyannote[2146].start |
27008.50221875 |
transcript.pyannote[2146].end |
27011.05034375 |
transcript.pyannote[2147].speaker |
SPEAKER_10 |
transcript.pyannote[2147].start |
27011.38784375 |
transcript.pyannote[2147].end |
27026.00159375 |
transcript.pyannote[2148].speaker |
SPEAKER_10 |
transcript.pyannote[2148].start |
27026.47409375 |
transcript.pyannote[2148].end |
27027.94221875 |
transcript.pyannote[2149].speaker |
SPEAKER_10 |
transcript.pyannote[2149].start |
27028.21221875 |
transcript.pyannote[2149].end |
27029.12346875 |
transcript.pyannote[2150].speaker |
SPEAKER_10 |
transcript.pyannote[2150].start |
27029.88284375 |
transcript.pyannote[2150].end |
27030.54096875 |
transcript.pyannote[2151].speaker |
SPEAKER_10 |
transcript.pyannote[2151].start |
27030.72659375 |
transcript.pyannote[2151].end |
27037.79721875 |
transcript.pyannote[2152].speaker |
SPEAKER_05 |
transcript.pyannote[2152].start |
27038.69159375 |
transcript.pyannote[2152].end |
27040.66596875 |
transcript.pyannote[2153].speaker |
SPEAKER_10 |
transcript.pyannote[2153].start |
27040.88534375 |
transcript.pyannote[2153].end |
27043.55159375 |
transcript.pyannote[2154].speaker |
SPEAKER_10 |
transcript.pyannote[2154].start |
27043.88909375 |
transcript.pyannote[2154].end |
27069.57284375 |
transcript.pyannote[2155].speaker |
SPEAKER_05 |
transcript.pyannote[2155].start |
27069.89346875 |
transcript.pyannote[2155].end |
27080.10284375 |
transcript.pyannote[2156].speaker |
SPEAKER_05 |
transcript.pyannote[2156].start |
27080.25471875 |
transcript.pyannote[2156].end |
27082.56659375 |
transcript.pyannote[2157].speaker |
SPEAKER_05 |
transcript.pyannote[2157].start |
27082.76909375 |
transcript.pyannote[2157].end |
27088.75971875 |
transcript.pyannote[2158].speaker |
SPEAKER_05 |
transcript.pyannote[2158].start |
27088.99596875 |
transcript.pyannote[2158].end |
27090.80159375 |
transcript.pyannote[2159].speaker |
SPEAKER_05 |
transcript.pyannote[2159].start |
27090.98721875 |
transcript.pyannote[2159].end |
27094.02471875 |
transcript.pyannote[2160].speaker |
SPEAKER_05 |
transcript.pyannote[2160].start |
27094.26096875 |
transcript.pyannote[2160].end |
27095.67846875 |
transcript.pyannote[2161].speaker |
SPEAKER_05 |
transcript.pyannote[2161].start |
27095.96534375 |
transcript.pyannote[2161].end |
27101.24721875 |
transcript.pyannote[2162].speaker |
SPEAKER_10 |
transcript.pyannote[2162].start |
27101.28096875 |
transcript.pyannote[2162].end |
27108.01409375 |
transcript.pyannote[2163].speaker |
SPEAKER_10 |
transcript.pyannote[2163].start |
27108.36846875 |
transcript.pyannote[2163].end |
27113.00909375 |
transcript.pyannote[2164].speaker |
SPEAKER_10 |
transcript.pyannote[2164].start |
27113.65034375 |
transcript.pyannote[2164].end |
27115.77659375 |
transcript.pyannote[2165].speaker |
SPEAKER_10 |
transcript.pyannote[2165].start |
27116.13096875 |
transcript.pyannote[2165].end |
27118.74659375 |
transcript.pyannote[2166].speaker |
SPEAKER_10 |
transcript.pyannote[2166].start |
27118.83096875 |
transcript.pyannote[2166].end |
27121.26096875 |
transcript.pyannote[2167].speaker |
SPEAKER_10 |
transcript.pyannote[2167].start |
27121.98659375 |
transcript.pyannote[2167].end |
27122.77971875 |
transcript.pyannote[2168].speaker |
SPEAKER_10 |
transcript.pyannote[2168].start |
27122.84721875 |
transcript.pyannote[2168].end |
27125.76659375 |
transcript.pyannote[2169].speaker |
SPEAKER_10 |
transcript.pyannote[2169].start |
27126.17159375 |
transcript.pyannote[2169].end |
27131.84159375 |
transcript.pyannote[2170].speaker |
SPEAKER_10 |
transcript.pyannote[2170].start |
27132.28034375 |
transcript.pyannote[2170].end |
27132.95534375 |
transcript.pyannote[2171].speaker |
SPEAKER_10 |
transcript.pyannote[2171].start |
27133.00596875 |
transcript.pyannote[2171].end |
27134.59221875 |
transcript.pyannote[2172].speaker |
SPEAKER_10 |
transcript.pyannote[2172].start |
27134.81159375 |
transcript.pyannote[2172].end |
27153.76221875 |
transcript.pyannote[2173].speaker |
SPEAKER_10 |
transcript.pyannote[2173].start |
27153.98159375 |
transcript.pyannote[2173].end |
27170.48534375 |
transcript.pyannote[2174].speaker |
SPEAKER_10 |
transcript.pyannote[2174].start |
27170.62034375 |
transcript.pyannote[2174].end |
27198.21096875 |
transcript.pyannote[2175].speaker |
SPEAKER_10 |
transcript.pyannote[2175].start |
27198.68346875 |
transcript.pyannote[2175].end |
27202.41284375 |
transcript.pyannote[2176].speaker |
SPEAKER_10 |
transcript.pyannote[2176].start |
27202.96971875 |
transcript.pyannote[2176].end |
27207.42471875 |
transcript.pyannote[2177].speaker |
SPEAKER_05 |
transcript.pyannote[2177].start |
27207.93096875 |
transcript.pyannote[2177].end |
27213.26346875 |
transcript.pyannote[2178].speaker |
SPEAKER_05 |
transcript.pyannote[2178].start |
27213.51659375 |
transcript.pyannote[2178].end |
27214.95096875 |
transcript.pyannote[2179].speaker |
SPEAKER_05 |
transcript.pyannote[2179].start |
27215.25471875 |
transcript.pyannote[2179].end |
27216.13221875 |
transcript.pyannote[2180].speaker |
SPEAKER_05 |
transcript.pyannote[2180].start |
27216.25034375 |
transcript.pyannote[2180].end |
27218.14034375 |
transcript.pyannote[2181].speaker |
SPEAKER_05 |
transcript.pyannote[2181].start |
27218.29221875 |
transcript.pyannote[2181].end |
27221.56596875 |
transcript.pyannote[2182].speaker |
SPEAKER_10 |
transcript.pyannote[2182].start |
27220.80659375 |
transcript.pyannote[2182].end |
27222.71346875 |
transcript.pyannote[2183].speaker |
SPEAKER_10 |
transcript.pyannote[2183].start |
27223.59096875 |
transcript.pyannote[2183].end |
27228.73784375 |
transcript.pyannote[2184].speaker |
SPEAKER_10 |
transcript.pyannote[2184].start |
27228.85596875 |
transcript.pyannote[2184].end |
27233.88471875 |
transcript.pyannote[2185].speaker |
SPEAKER_05 |
transcript.pyannote[2185].start |
27234.37409375 |
transcript.pyannote[2185].end |
27236.87159375 |
transcript.pyannote[2186].speaker |
SPEAKER_05 |
transcript.pyannote[2186].start |
27237.46221875 |
transcript.pyannote[2186].end |
27243.45284375 |
transcript.pyannote[2187].speaker |
SPEAKER_10 |
transcript.pyannote[2187].start |
27238.25534375 |
transcript.pyannote[2187].end |
27238.60971875 |
transcript.pyannote[2188].speaker |
SPEAKER_10 |
transcript.pyannote[2188].start |
27238.74471875 |
transcript.pyannote[2188].end |
27239.08221875 |
transcript.pyannote[2189].speaker |
SPEAKER_10 |
transcript.pyannote[2189].start |
27242.40659375 |
transcript.pyannote[2189].end |
27263.95596875 |
transcript.pyannote[2190].speaker |
SPEAKER_10 |
transcript.pyannote[2190].start |
27264.15846875 |
transcript.pyannote[2190].end |
27270.43596875 |
transcript.pyannote[2191].speaker |
SPEAKER_10 |
transcript.pyannote[2191].start |
27270.72284375 |
transcript.pyannote[2191].end |
27272.10659375 |
transcript.pyannote[2192].speaker |
SPEAKER_10 |
transcript.pyannote[2192].start |
27272.42721875 |
transcript.pyannote[2192].end |
27298.22909375 |
transcript.pyannote[2193].speaker |
SPEAKER_10 |
transcript.pyannote[2193].start |
27298.63409375 |
transcript.pyannote[2193].end |
27312.85971875 |
transcript.pyannote[2194].speaker |
SPEAKER_10 |
transcript.pyannote[2194].start |
27313.23096875 |
transcript.pyannote[2194].end |
27323.87909375 |
transcript.pyannote[2195].speaker |
SPEAKER_10 |
transcript.pyannote[2195].start |
27324.31784375 |
transcript.pyannote[2195].end |
27331.59096875 |
transcript.pyannote[2196].speaker |
SPEAKER_10 |
transcript.pyannote[2196].start |
27331.60784375 |
transcript.pyannote[2196].end |
27335.79284375 |
transcript.pyannote[2197].speaker |
SPEAKER_10 |
transcript.pyannote[2197].start |
27336.06284375 |
transcript.pyannote[2197].end |
27339.37034375 |
transcript.pyannote[2198].speaker |
SPEAKER_10 |
transcript.pyannote[2198].start |
27340.02846875 |
transcript.pyannote[2198].end |
27340.55159375 |
transcript.pyannote[2199].speaker |
SPEAKER_10 |
transcript.pyannote[2199].start |
27341.31096875 |
transcript.pyannote[2199].end |
27347.89221875 |
transcript.pyannote[2200].speaker |
SPEAKER_10 |
transcript.pyannote[2200].start |
27348.24659375 |
transcript.pyannote[2200].end |
27349.10721875 |
transcript.pyannote[2201].speaker |
SPEAKER_03 |
transcript.pyannote[2201].start |
27349.39409375 |
transcript.pyannote[2201].end |
27349.66409375 |
transcript.pyannote[2202].speaker |
SPEAKER_28 |
transcript.pyannote[2202].start |
27389.97846875 |
transcript.pyannote[2202].end |
27399.31034375 |
transcript.pyannote[2203].speaker |
SPEAKER_15 |
transcript.pyannote[2203].start |
27415.78034375 |
transcript.pyannote[2203].end |
27419.34096875 |
transcript.pyannote[2204].speaker |
SPEAKER_15 |
transcript.pyannote[2204].start |
27419.62784375 |
transcript.pyannote[2204].end |
27420.75846875 |
transcript.pyannote[2205].speaker |
SPEAKER_15 |
transcript.pyannote[2205].start |
27429.97221875 |
transcript.pyannote[2205].end |
27431.05221875 |
transcript.pyannote[2206].speaker |
SPEAKER_15 |
transcript.pyannote[2206].start |
27431.59221875 |
transcript.pyannote[2206].end |
27432.72284375 |
transcript.pyannote[2207].speaker |
SPEAKER_25 |
transcript.pyannote[2207].start |
27432.80721875 |
transcript.pyannote[2207].end |
27434.00534375 |
transcript.pyannote[2208].speaker |
SPEAKER_15 |
transcript.pyannote[2208].start |
27433.39784375 |
transcript.pyannote[2208].end |
27434.24159375 |
transcript.pyannote[2209].speaker |
SPEAKER_15 |
transcript.pyannote[2209].start |
27434.57909375 |
transcript.pyannote[2209].end |
27440.53596875 |
transcript.pyannote[2210].speaker |
SPEAKER_15 |
transcript.pyannote[2210].start |
27440.92409375 |
transcript.pyannote[2210].end |
27441.26159375 |
transcript.pyannote[2211].speaker |
SPEAKER_15 |
transcript.pyannote[2211].start |
27441.63284375 |
transcript.pyannote[2211].end |
27444.55221875 |
transcript.pyannote[2212].speaker |
SPEAKER_15 |
transcript.pyannote[2212].start |
27445.15971875 |
transcript.pyannote[2212].end |
27447.65721875 |
transcript.pyannote[2213].speaker |
SPEAKER_15 |
transcript.pyannote[2213].start |
27448.16346875 |
transcript.pyannote[2213].end |
27449.85096875 |
transcript.pyannote[2214].speaker |
SPEAKER_15 |
transcript.pyannote[2214].start |
27450.49221875 |
transcript.pyannote[2214].end |
27454.57596875 |
transcript.pyannote[2215].speaker |
SPEAKER_15 |
transcript.pyannote[2215].start |
27454.89659375 |
transcript.pyannote[2215].end |
27456.21284375 |
transcript.pyannote[2216].speaker |
SPEAKER_15 |
transcript.pyannote[2216].start |
27456.88784375 |
transcript.pyannote[2216].end |
27458.08596875 |
transcript.pyannote[2217].speaker |
SPEAKER_15 |
transcript.pyannote[2217].start |
27458.50784375 |
transcript.pyannote[2217].end |
27461.88284375 |
transcript.pyannote[2218].speaker |
SPEAKER_15 |
transcript.pyannote[2218].start |
27462.60846875 |
transcript.pyannote[2218].end |
27464.29596875 |
transcript.pyannote[2219].speaker |
SPEAKER_15 |
transcript.pyannote[2219].start |
27464.76846875 |
transcript.pyannote[2219].end |
27470.79284375 |
transcript.pyannote[2220].speaker |
SPEAKER_15 |
transcript.pyannote[2220].start |
27471.58596875 |
transcript.pyannote[2220].end |
27474.91034375 |
transcript.pyannote[2221].speaker |
SPEAKER_15 |
transcript.pyannote[2221].start |
27475.34909375 |
transcript.pyannote[2221].end |
27478.35284375 |
transcript.pyannote[2222].speaker |
SPEAKER_15 |
transcript.pyannote[2222].start |
27478.84221875 |
transcript.pyannote[2222].end |
27479.36534375 |
transcript.pyannote[2223].speaker |
SPEAKER_15 |
transcript.pyannote[2223].start |
27480.15846875 |
transcript.pyannote[2223].end |
27480.54659375 |
transcript.pyannote[2224].speaker |
SPEAKER_15 |
transcript.pyannote[2224].start |
27480.93471875 |
transcript.pyannote[2224].end |
27482.04846875 |
transcript.pyannote[2225].speaker |
SPEAKER_15 |
transcript.pyannote[2225].start |
27482.48721875 |
transcript.pyannote[2225].end |
27483.38159375 |
transcript.pyannote[2226].speaker |
SPEAKER_15 |
transcript.pyannote[2226].start |
27484.24221875 |
transcript.pyannote[2226].end |
27488.37659375 |
transcript.pyannote[2227].speaker |
SPEAKER_15 |
transcript.pyannote[2227].start |
27490.57034375 |
transcript.pyannote[2227].end |
27492.71346875 |
transcript.pyannote[2228].speaker |
SPEAKER_15 |
transcript.pyannote[2228].start |
27493.64159375 |
transcript.pyannote[2228].end |
27500.20596875 |
transcript.pyannote[2229].speaker |
SPEAKER_15 |
transcript.pyannote[2229].start |
27501.53909375 |
transcript.pyannote[2229].end |
27502.24784375 |
transcript.pyannote[2230].speaker |
SPEAKER_15 |
transcript.pyannote[2230].start |
27503.05784375 |
transcript.pyannote[2230].end |
27503.86784375 |
transcript.pyannote[2231].speaker |
SPEAKER_15 |
transcript.pyannote[2231].start |
27504.01971875 |
transcript.pyannote[2231].end |
27506.60159375 |
transcript.pyannote[2232].speaker |
SPEAKER_15 |
transcript.pyannote[2232].start |
27507.07409375 |
transcript.pyannote[2232].end |
27507.96846875 |
transcript.pyannote[2233].speaker |
SPEAKER_15 |
transcript.pyannote[2233].start |
27508.66034375 |
transcript.pyannote[2233].end |
27512.01846875 |
transcript.pyannote[2234].speaker |
SPEAKER_15 |
transcript.pyannote[2234].start |
27513.31784375 |
transcript.pyannote[2234].end |
27516.28784375 |
transcript.pyannote[2235].speaker |
SPEAKER_15 |
transcript.pyannote[2235].start |
27516.40596875 |
transcript.pyannote[2235].end |
27516.82784375 |
transcript.pyannote[2236].speaker |
SPEAKER_15 |
transcript.pyannote[2236].start |
27517.41846875 |
transcript.pyannote[2236].end |
27520.70909375 |
transcript.pyannote[2237].speaker |
SPEAKER_15 |
transcript.pyannote[2237].start |
27521.19846875 |
transcript.pyannote[2237].end |
27522.48096875 |
transcript.pyannote[2238].speaker |
SPEAKER_15 |
transcript.pyannote[2238].start |
27522.70034375 |
transcript.pyannote[2238].end |
27523.57784375 |
transcript.pyannote[2239].speaker |
SPEAKER_15 |
transcript.pyannote[2239].start |
27524.03346875 |
transcript.pyannote[2239].end |
27526.07534375 |
transcript.pyannote[2240].speaker |
SPEAKER_15 |
transcript.pyannote[2240].start |
27526.56471875 |
transcript.pyannote[2240].end |
27539.10284375 |
transcript.pyannote[2241].speaker |
SPEAKER_15 |
transcript.pyannote[2241].start |
27539.40659375 |
transcript.pyannote[2241].end |
27541.29659375 |
transcript.pyannote[2242].speaker |
SPEAKER_15 |
transcript.pyannote[2242].start |
27541.92096875 |
transcript.pyannote[2242].end |
27543.62534375 |
transcript.pyannote[2243].speaker |
SPEAKER_15 |
transcript.pyannote[2243].start |
27545.32971875 |
transcript.pyannote[2243].end |
27545.71784375 |
transcript.pyannote[2244].speaker |
SPEAKER_15 |
transcript.pyannote[2244].start |
27545.93721875 |
transcript.pyannote[2244].end |
27546.54471875 |
transcript.pyannote[2245].speaker |
SPEAKER_15 |
transcript.pyannote[2245].start |
27547.15221875 |
transcript.pyannote[2245].end |
27549.39659375 |
transcript.pyannote[2246].speaker |
SPEAKER_15 |
transcript.pyannote[2246].start |
27549.85221875 |
transcript.pyannote[2246].end |
27551.47221875 |
transcript.pyannote[2247].speaker |
SPEAKER_15 |
transcript.pyannote[2247].start |
27552.18096875 |
transcript.pyannote[2247].end |
27554.81346875 |
transcript.pyannote[2248].speaker |
SPEAKER_25 |
transcript.pyannote[2248].start |
27552.38346875 |
transcript.pyannote[2248].end |
27552.90659375 |
transcript.pyannote[2249].speaker |
SPEAKER_15 |
transcript.pyannote[2249].start |
27556.31534375 |
transcript.pyannote[2249].end |
27557.44596875 |
transcript.pyannote[2250].speaker |
SPEAKER_15 |
transcript.pyannote[2250].start |
27558.66096875 |
transcript.pyannote[2250].end |
27559.43721875 |
transcript.pyannote[2251].speaker |
SPEAKER_15 |
transcript.pyannote[2251].start |
27559.92659375 |
transcript.pyannote[2251].end |
27562.03596875 |
transcript.pyannote[2252].speaker |
SPEAKER_15 |
transcript.pyannote[2252].start |
27563.16659375 |
transcript.pyannote[2252].end |
27564.01034375 |
transcript.pyannote[2253].speaker |
SPEAKER_15 |
transcript.pyannote[2253].start |
27564.28034375 |
transcript.pyannote[2253].end |
27567.01409375 |
transcript.pyannote[2254].speaker |
SPEAKER_15 |
transcript.pyannote[2254].start |
27567.80721875 |
transcript.pyannote[2254].end |
27578.57346875 |
transcript.pyannote[2255].speaker |
SPEAKER_15 |
transcript.pyannote[2255].start |
27579.29909375 |
transcript.pyannote[2255].end |
27583.65284375 |
transcript.pyannote[2256].speaker |
SPEAKER_15 |
transcript.pyannote[2256].start |
27584.76659375 |
transcript.pyannote[2256].end |
27586.23471875 |
transcript.pyannote[2257].speaker |
SPEAKER_15 |
transcript.pyannote[2257].start |
27586.77471875 |
transcript.pyannote[2257].end |
27587.16284375 |
transcript.pyannote[2258].speaker |
SPEAKER_15 |
transcript.pyannote[2258].start |
27587.93909375 |
transcript.pyannote[2258].end |
27588.29346875 |
transcript.pyannote[2259].speaker |
SPEAKER_15 |
transcript.pyannote[2259].start |
27588.85034375 |
transcript.pyannote[2259].end |
27591.70221875 |
transcript.pyannote[2260].speaker |
SPEAKER_15 |
transcript.pyannote[2260].start |
27591.98909375 |
transcript.pyannote[2260].end |
27597.10221875 |
transcript.pyannote[2261].speaker |
SPEAKER_15 |
transcript.pyannote[2261].start |
27597.25409375 |
transcript.pyannote[2261].end |
27598.11471875 |
transcript.pyannote[2262].speaker |
SPEAKER_15 |
transcript.pyannote[2262].start |
27598.45221875 |
transcript.pyannote[2262].end |
27605.50596875 |
transcript.pyannote[2263].speaker |
SPEAKER_15 |
transcript.pyannote[2263].start |
27606.34971875 |
transcript.pyannote[2263].end |
27613.77471875 |
transcript.pyannote[2264].speaker |
SPEAKER_15 |
transcript.pyannote[2264].start |
27614.71971875 |
transcript.pyannote[2264].end |
27615.41159375 |
transcript.pyannote[2265].speaker |
SPEAKER_15 |
transcript.pyannote[2265].start |
27616.20471875 |
transcript.pyannote[2265].end |
27618.19596875 |
transcript.pyannote[2266].speaker |
SPEAKER_15 |
transcript.pyannote[2266].start |
27618.61784375 |
transcript.pyannote[2266].end |
27623.29221875 |
transcript.pyannote[2267].speaker |
SPEAKER_15 |
transcript.pyannote[2267].start |
27623.98409375 |
transcript.pyannote[2267].end |
27625.14846875 |
transcript.pyannote[2268].speaker |
SPEAKER_15 |
transcript.pyannote[2268].start |
27625.48596875 |
transcript.pyannote[2268].end |
27626.61659375 |
transcript.pyannote[2269].speaker |
SPEAKER_15 |
transcript.pyannote[2269].start |
27627.34221875 |
transcript.pyannote[2269].end |
27628.15221875 |
transcript.pyannote[2270].speaker |
SPEAKER_15 |
transcript.pyannote[2270].start |
27628.38846875 |
transcript.pyannote[2270].end |
27628.97909375 |
transcript.pyannote[2271].speaker |
SPEAKER_15 |
transcript.pyannote[2271].start |
27629.36721875 |
transcript.pyannote[2271].end |
27630.83534375 |
transcript.pyannote[2272].speaker |
SPEAKER_15 |
transcript.pyannote[2272].start |
27631.02096875 |
transcript.pyannote[2272].end |
27632.25284375 |
transcript.pyannote[2273].speaker |
SPEAKER_15 |
transcript.pyannote[2273].start |
27632.87721875 |
transcript.pyannote[2273].end |
27633.29909375 |
transcript.pyannote[2274].speaker |
SPEAKER_15 |
transcript.pyannote[2274].start |
27633.53534375 |
transcript.pyannote[2274].end |
27634.15971875 |
transcript.pyannote[2275].speaker |
SPEAKER_15 |
transcript.pyannote[2275].start |
27634.31159375 |
transcript.pyannote[2275].end |
27635.40846875 |
transcript.pyannote[2276].speaker |
SPEAKER_15 |
transcript.pyannote[2276].start |
27635.56034375 |
transcript.pyannote[2276].end |
27636.60659375 |
transcript.pyannote[2277].speaker |
SPEAKER_15 |
transcript.pyannote[2277].start |
27636.69096875 |
transcript.pyannote[2277].end |
27637.73721875 |
transcript.pyannote[2278].speaker |
SPEAKER_15 |
transcript.pyannote[2278].start |
27638.42909375 |
transcript.pyannote[2278].end |
27641.38221875 |
transcript.pyannote[2279].speaker |
SPEAKER_15 |
transcript.pyannote[2279].start |
27642.27659375 |
transcript.pyannote[2279].end |
27643.79534375 |
transcript.pyannote[2280].speaker |
SPEAKER_15 |
transcript.pyannote[2280].start |
27645.09471875 |
transcript.pyannote[2280].end |
27649.34721875 |
transcript.pyannote[2281].speaker |
SPEAKER_15 |
transcript.pyannote[2281].start |
27650.10659375 |
transcript.pyannote[2281].end |
27651.92909375 |
transcript.pyannote[2282].speaker |
SPEAKER_15 |
transcript.pyannote[2282].start |
27652.53659375 |
transcript.pyannote[2282].end |
27655.03409375 |
transcript.pyannote[2283].speaker |
SPEAKER_15 |
transcript.pyannote[2283].start |
27655.33784375 |
transcript.pyannote[2283].end |
27658.08846875 |
transcript.pyannote[2284].speaker |
SPEAKER_15 |
transcript.pyannote[2284].start |
27658.76346875 |
transcript.pyannote[2284].end |
27662.03721875 |
transcript.pyannote[2285].speaker |
SPEAKER_05 |
transcript.pyannote[2285].start |
27662.03721875 |
transcript.pyannote[2285].end |
27662.05409375 |
transcript.pyannote[2286].speaker |
SPEAKER_05 |
transcript.pyannote[2286].start |
27662.54346875 |
transcript.pyannote[2286].end |
27663.31971875 |
transcript.pyannote[2287].speaker |
SPEAKER_05 |
transcript.pyannote[2287].start |
27663.94409375 |
transcript.pyannote[2287].end |
27666.10409375 |
transcript.pyannote[2288].speaker |
SPEAKER_05 |
transcript.pyannote[2288].start |
27666.54284375 |
transcript.pyannote[2288].end |
27669.36096875 |
transcript.pyannote[2289].speaker |
SPEAKER_05 |
transcript.pyannote[2289].start |
27669.47909375 |
transcript.pyannote[2289].end |
27673.81596875 |
transcript.pyannote[2290].speaker |
SPEAKER_15 |
transcript.pyannote[2290].start |
27671.16659375 |
transcript.pyannote[2290].end |
27672.73596875 |
transcript.pyannote[2291].speaker |
SPEAKER_15 |
transcript.pyannote[2291].start |
27673.46159375 |
transcript.pyannote[2291].end |
27674.32221875 |
transcript.pyannote[2292].speaker |
SPEAKER_05 |
transcript.pyannote[2292].start |
27674.32221875 |
transcript.pyannote[2292].end |
27674.35596875 |
transcript.pyannote[2293].speaker |
SPEAKER_15 |
transcript.pyannote[2293].start |
27674.35596875 |
transcript.pyannote[2293].end |
27674.40659375 |
transcript.pyannote[2294].speaker |
SPEAKER_05 |
transcript.pyannote[2294].start |
27674.40659375 |
transcript.pyannote[2294].end |
27674.59221875 |
transcript.pyannote[2295].speaker |
SPEAKER_15 |
transcript.pyannote[2295].start |
27674.59221875 |
transcript.pyannote[2295].end |
27679.38471875 |
transcript.pyannote[2296].speaker |
SPEAKER_05 |
transcript.pyannote[2296].start |
27679.38471875 |
transcript.pyannote[2296].end |
27680.26221875 |
transcript.pyannote[2297].speaker |
SPEAKER_15 |
transcript.pyannote[2297].start |
27679.40159375 |
transcript.pyannote[2297].end |
27683.36721875 |
transcript.pyannote[2298].speaker |
SPEAKER_05 |
transcript.pyannote[2298].start |
27682.87784375 |
transcript.pyannote[2298].end |
27684.53159375 |
transcript.pyannote[2299].speaker |
SPEAKER_15 |
transcript.pyannote[2299].start |
27684.88596875 |
transcript.pyannote[2299].end |
27689.83034375 |
transcript.pyannote[2300].speaker |
SPEAKER_15 |
transcript.pyannote[2300].start |
27691.09596875 |
transcript.pyannote[2300].end |
27691.92284375 |
transcript.pyannote[2301].speaker |
SPEAKER_15 |
transcript.pyannote[2301].start |
27692.27721875 |
transcript.pyannote[2301].end |
27697.27221875 |
transcript.pyannote[2302].speaker |
SPEAKER_28 |
transcript.pyannote[2302].start |
27692.91846875 |
transcript.pyannote[2302].end |
27693.05346875 |
transcript.pyannote[2303].speaker |
SPEAKER_15 |
transcript.pyannote[2303].start |
27697.89659375 |
transcript.pyannote[2303].end |
27698.28471875 |
transcript.pyannote[2304].speaker |
SPEAKER_15 |
transcript.pyannote[2304].start |
27698.92596875 |
transcript.pyannote[2304].end |
27700.96784375 |
transcript.pyannote[2305].speaker |
SPEAKER_15 |
transcript.pyannote[2305].start |
27701.82846875 |
transcript.pyannote[2305].end |
27705.00096875 |
transcript.pyannote[2306].speaker |
SPEAKER_15 |
transcript.pyannote[2306].start |
27705.99659375 |
transcript.pyannote[2306].end |
27706.97534375 |
transcript.pyannote[2307].speaker |
SPEAKER_05 |
transcript.pyannote[2307].start |
27706.97534375 |
transcript.pyannote[2307].end |
27706.99221875 |
transcript.pyannote[2308].speaker |
SPEAKER_15 |
transcript.pyannote[2308].start |
27707.49846875 |
transcript.pyannote[2308].end |
27708.03846875 |
transcript.pyannote[2309].speaker |
SPEAKER_05 |
transcript.pyannote[2309].start |
27708.03846875 |
transcript.pyannote[2309].end |
27708.22409375 |
transcript.pyannote[2310].speaker |
SPEAKER_15 |
transcript.pyannote[2310].start |
27708.22409375 |
transcript.pyannote[2310].end |
27708.34221875 |
transcript.pyannote[2311].speaker |
SPEAKER_05 |
transcript.pyannote[2311].start |
27708.34221875 |
transcript.pyannote[2311].end |
27709.33784375 |
transcript.pyannote[2312].speaker |
SPEAKER_05 |
transcript.pyannote[2312].start |
27710.58659375 |
transcript.pyannote[2312].end |
27712.44284375 |
transcript.pyannote[2313].speaker |
SPEAKER_05 |
transcript.pyannote[2313].start |
27712.62846875 |
transcript.pyannote[2313].end |
27714.13034375 |
transcript.pyannote[2314].speaker |
SPEAKER_05 |
transcript.pyannote[2314].start |
27714.51846875 |
transcript.pyannote[2314].end |
27716.45909375 |
transcript.pyannote[2315].speaker |
SPEAKER_05 |
transcript.pyannote[2315].start |
27716.69534375 |
transcript.pyannote[2315].end |
27717.74159375 |
transcript.pyannote[2316].speaker |
SPEAKER_05 |
transcript.pyannote[2316].start |
27718.33221875 |
transcript.pyannote[2316].end |
27720.12096875 |
transcript.pyannote[2317].speaker |
SPEAKER_05 |
transcript.pyannote[2317].start |
27720.30659375 |
transcript.pyannote[2317].end |
27722.80409375 |
transcript.pyannote[2318].speaker |
SPEAKER_05 |
transcript.pyannote[2318].start |
27723.90096875 |
transcript.pyannote[2318].end |
27735.96659375 |
transcript.pyannote[2319].speaker |
SPEAKER_15 |
transcript.pyannote[2319].start |
27727.19159375 |
transcript.pyannote[2319].end |
27727.64721875 |
transcript.pyannote[2320].speaker |
SPEAKER_15 |
transcript.pyannote[2320].start |
27735.96659375 |
transcript.pyannote[2320].end |
27741.53534375 |
transcript.pyannote[2321].speaker |
SPEAKER_05 |
transcript.pyannote[2321].start |
27736.48971875 |
transcript.pyannote[2321].end |
27737.72159375 |
transcript.pyannote[2322].speaker |
SPEAKER_05 |
transcript.pyannote[2322].start |
27738.17721875 |
transcript.pyannote[2322].end |
27739.00409375 |
transcript.pyannote[2323].speaker |
SPEAKER_15 |
transcript.pyannote[2323].start |
27742.58159375 |
transcript.pyannote[2323].end |
27747.59346875 |
transcript.pyannote[2324].speaker |
SPEAKER_15 |
transcript.pyannote[2324].start |
27747.96471875 |
transcript.pyannote[2324].end |
27750.02346875 |
transcript.pyannote[2325].speaker |
SPEAKER_15 |
transcript.pyannote[2325].start |
27750.42846875 |
transcript.pyannote[2325].end |
27751.03596875 |
transcript.pyannote[2326].speaker |
SPEAKER_27 |
transcript.pyannote[2326].start |
27751.03596875 |
transcript.pyannote[2326].end |
27751.99784375 |
transcript.pyannote[2327].speaker |
SPEAKER_27 |
transcript.pyannote[2327].start |
27752.65596875 |
transcript.pyannote[2327].end |
27756.06471875 |
transcript.pyannote[2328].speaker |
SPEAKER_27 |
transcript.pyannote[2328].start |
27756.26721875 |
transcript.pyannote[2328].end |
27759.70971875 |
transcript.pyannote[2329].speaker |
SPEAKER_15 |
transcript.pyannote[2329].start |
27760.82346875 |
transcript.pyannote[2329].end |
27769.76721875 |
transcript.pyannote[2330].speaker |
SPEAKER_15 |
transcript.pyannote[2330].start |
27770.45909375 |
transcript.pyannote[2330].end |
27771.55596875 |
transcript.pyannote[2331].speaker |
SPEAKER_27 |
transcript.pyannote[2331].start |
27772.65284375 |
transcript.pyannote[2331].end |
27774.20534375 |
transcript.pyannote[2332].speaker |
SPEAKER_27 |
transcript.pyannote[2332].start |
27774.50909375 |
transcript.pyannote[2332].end |
27777.76596875 |
transcript.pyannote[2333].speaker |
SPEAKER_27 |
transcript.pyannote[2333].start |
27778.57596875 |
transcript.pyannote[2333].end |
27782.52471875 |
transcript.pyannote[2334].speaker |
SPEAKER_15 |
transcript.pyannote[2334].start |
27782.17034375 |
transcript.pyannote[2334].end |
27793.44284375 |
transcript.pyannote[2335].speaker |
SPEAKER_27 |
transcript.pyannote[2335].start |
27783.82409375 |
transcript.pyannote[2335].end |
27784.34721875 |
transcript.pyannote[2336].speaker |
SPEAKER_27 |
transcript.pyannote[2336].start |
27784.36409375 |
transcript.pyannote[2336].end |
27784.44846875 |
transcript.pyannote[2337].speaker |
SPEAKER_27 |
transcript.pyannote[2337].start |
27784.49909375 |
transcript.pyannote[2337].end |
27784.66784375 |
transcript.pyannote[2338].speaker |
SPEAKER_27 |
transcript.pyannote[2338].start |
27785.03909375 |
transcript.pyannote[2338].end |
27787.08096875 |
transcript.pyannote[2339].speaker |
SPEAKER_27 |
transcript.pyannote[2339].start |
27790.06784375 |
transcript.pyannote[2339].end |
27790.40534375 |
transcript.pyannote[2340].speaker |
SPEAKER_15 |
transcript.pyannote[2340].start |
27794.10096875 |
transcript.pyannote[2340].end |
27794.96159375 |
transcript.pyannote[2341].speaker |
SPEAKER_27 |
transcript.pyannote[2341].start |
27794.10096875 |
transcript.pyannote[2341].end |
27797.45909375 |
transcript.pyannote[2342].speaker |
SPEAKER_05 |
transcript.pyannote[2342].start |
27798.15096875 |
transcript.pyannote[2342].end |
27800.46284375 |
transcript.pyannote[2343].speaker |
SPEAKER_27 |
transcript.pyannote[2343].start |
27798.74159375 |
transcript.pyannote[2343].end |
27799.82159375 |
transcript.pyannote[2344].speaker |
SPEAKER_15 |
transcript.pyannote[2344].start |
27799.82159375 |
transcript.pyannote[2344].end |
27799.83846875 |
transcript.pyannote[2345].speaker |
SPEAKER_05 |
transcript.pyannote[2345].start |
27800.66534375 |
transcript.pyannote[2345].end |
27802.63971875 |
transcript.pyannote[2346].speaker |
SPEAKER_15 |
transcript.pyannote[2346].start |
27802.63971875 |
transcript.pyannote[2346].end |
27810.06471875 |
transcript.pyannote[2347].speaker |
SPEAKER_05 |
transcript.pyannote[2347].start |
27803.78721875 |
transcript.pyannote[2347].end |
27803.92221875 |
transcript.pyannote[2348].speaker |
SPEAKER_27 |
transcript.pyannote[2348].start |
27803.92221875 |
transcript.pyannote[2348].end |
27804.19221875 |
transcript.pyannote[2349].speaker |
SPEAKER_27 |
transcript.pyannote[2349].start |
27808.63034375 |
transcript.pyannote[2349].end |
27808.78221875 |
transcript.pyannote[2350].speaker |
SPEAKER_27 |
transcript.pyannote[2350].start |
27809.52471875 |
transcript.pyannote[2350].end |
27809.98034375 |
transcript.pyannote[2351].speaker |
SPEAKER_27 |
transcript.pyannote[2351].start |
27810.06471875 |
transcript.pyannote[2351].end |
27812.24159375 |
transcript.pyannote[2352].speaker |
SPEAKER_15 |
transcript.pyannote[2352].start |
27811.88721875 |
transcript.pyannote[2352].end |
27813.72659375 |
transcript.pyannote[2353].speaker |
SPEAKER_27 |
transcript.pyannote[2353].start |
27812.81534375 |
transcript.pyannote[2353].end |
27823.29471875 |
transcript.pyannote[2354].speaker |
SPEAKER_15 |
transcript.pyannote[2354].start |
27821.62409375 |
transcript.pyannote[2354].end |
27835.68096875 |
transcript.pyannote[2355].speaker |
SPEAKER_15 |
transcript.pyannote[2355].start |
27836.22096875 |
transcript.pyannote[2355].end |
27839.15721875 |
transcript.pyannote[2356].speaker |
SPEAKER_15 |
transcript.pyannote[2356].start |
27839.52846875 |
transcript.pyannote[2356].end |
27842.39721875 |
transcript.pyannote[2357].speaker |
SPEAKER_15 |
transcript.pyannote[2357].start |
27842.78534375 |
transcript.pyannote[2357].end |
27843.69659375 |
transcript.pyannote[2358].speaker |
SPEAKER_15 |
transcript.pyannote[2358].start |
27843.98346875 |
transcript.pyannote[2358].end |
27845.13096875 |
transcript.pyannote[2359].speaker |
SPEAKER_05 |
transcript.pyannote[2359].start |
27846.09284375 |
transcript.pyannote[2359].end |
27846.73409375 |
transcript.pyannote[2360].speaker |
SPEAKER_05 |
transcript.pyannote[2360].start |
27847.02096875 |
transcript.pyannote[2360].end |
27848.57346875 |
transcript.pyannote[2361].speaker |
SPEAKER_15 |
transcript.pyannote[2361].start |
27848.05034375 |
transcript.pyannote[2361].end |
27849.21471875 |
transcript.pyannote[2362].speaker |
SPEAKER_05 |
transcript.pyannote[2362].start |
27849.21471875 |
transcript.pyannote[2362].end |
27849.38346875 |
transcript.pyannote[2363].speaker |
SPEAKER_15 |
transcript.pyannote[2363].start |
27849.38346875 |
transcript.pyannote[2363].end |
27851.03721875 |
transcript.pyannote[2364].speaker |
SPEAKER_05 |
transcript.pyannote[2364].start |
27851.03721875 |
transcript.pyannote[2364].end |
27867.96284375 |
transcript.pyannote[2365].speaker |
SPEAKER_15 |
transcript.pyannote[2365].start |
27852.57284375 |
transcript.pyannote[2365].end |
27853.34909375 |
transcript.pyannote[2366].speaker |
SPEAKER_25 |
transcript.pyannote[2366].start |
27858.95159375 |
transcript.pyannote[2366].end |
27859.47471875 |
transcript.pyannote[2367].speaker |
SPEAKER_00 |
transcript.pyannote[2367].start |
27859.47471875 |
transcript.pyannote[2367].end |
27859.54221875 |
transcript.pyannote[2368].speaker |
SPEAKER_15 |
transcript.pyannote[2368].start |
27865.48221875 |
transcript.pyannote[2368].end |
27867.49034375 |
transcript.pyannote[2369].speaker |
SPEAKER_15 |
transcript.pyannote[2369].start |
27867.96284375 |
transcript.pyannote[2369].end |
27874.03784375 |
transcript.pyannote[2370].speaker |
SPEAKER_05 |
transcript.pyannote[2370].start |
27870.10596875 |
transcript.pyannote[2370].end |
27870.40971875 |
transcript.pyannote[2371].speaker |
SPEAKER_19 |
transcript.pyannote[2371].start |
27874.03784375 |
transcript.pyannote[2371].end |
27883.69034375 |
transcript.pyannote[2372].speaker |
SPEAKER_15 |
transcript.pyannote[2372].start |
27876.50159375 |
transcript.pyannote[2372].end |
27876.78846875 |
transcript.pyannote[2373].speaker |
SPEAKER_25 |
transcript.pyannote[2373].start |
27881.86784375 |
transcript.pyannote[2373].end |
27882.32346875 |
transcript.pyannote[2374].speaker |
SPEAKER_25 |
transcript.pyannote[2374].start |
27883.84221875 |
transcript.pyannote[2374].end |
27884.21346875 |
transcript.pyannote[2375].speaker |
SPEAKER_19 |
transcript.pyannote[2375].start |
27884.14596875 |
transcript.pyannote[2375].end |
27889.91721875 |
transcript.pyannote[2376].speaker |
SPEAKER_19 |
transcript.pyannote[2376].start |
27890.28846875 |
transcript.pyannote[2376].end |
27895.28346875 |
transcript.pyannote[2377].speaker |
SPEAKER_19 |
transcript.pyannote[2377].start |
27895.41846875 |
transcript.pyannote[2377].end |
27899.60346875 |
transcript.pyannote[2378].speaker |
SPEAKER_15 |
transcript.pyannote[2378].start |
27900.12659375 |
transcript.pyannote[2378].end |
27906.47159375 |
transcript.pyannote[2379].speaker |
SPEAKER_15 |
transcript.pyannote[2379].start |
27907.31534375 |
transcript.pyannote[2379].end |
27908.20971875 |
transcript.pyannote[2380].speaker |
SPEAKER_15 |
transcript.pyannote[2380].start |
27909.15471875 |
transcript.pyannote[2380].end |
27909.96471875 |
transcript.pyannote[2381].speaker |
SPEAKER_19 |
transcript.pyannote[2381].start |
27909.96471875 |
transcript.pyannote[2381].end |
27909.99846875 |
transcript.pyannote[2382].speaker |
SPEAKER_19 |
transcript.pyannote[2382].start |
27910.48784375 |
transcript.pyannote[2382].end |
27910.53846875 |
transcript.pyannote[2383].speaker |
SPEAKER_15 |
transcript.pyannote[2383].start |
27910.53846875 |
transcript.pyannote[2383].end |
27911.23034375 |
transcript.pyannote[2384].speaker |
SPEAKER_19 |
transcript.pyannote[2384].start |
27911.23034375 |
transcript.pyannote[2384].end |
27911.34846875 |
transcript.pyannote[2385].speaker |
SPEAKER_15 |
transcript.pyannote[2385].start |
27911.65221875 |
transcript.pyannote[2385].end |
27914.74034375 |
transcript.pyannote[2386].speaker |
SPEAKER_15 |
transcript.pyannote[2386].start |
27915.17909375 |
transcript.pyannote[2386].end |
27916.41096875 |
transcript.pyannote[2387].speaker |
SPEAKER_15 |
transcript.pyannote[2387].start |
27917.00159375 |
transcript.pyannote[2387].end |
27922.77284375 |
transcript.pyannote[2388].speaker |
SPEAKER_19 |
transcript.pyannote[2388].start |
27920.27534375 |
transcript.pyannote[2388].end |
27920.37659375 |
transcript.pyannote[2389].speaker |
SPEAKER_28 |
transcript.pyannote[2389].start |
27921.40596875 |
transcript.pyannote[2389].end |
27924.03846875 |
transcript.pyannote[2390].speaker |
SPEAKER_28 |
transcript.pyannote[2390].start |
27924.34221875 |
transcript.pyannote[2390].end |
27925.50659375 |
transcript.pyannote[2391].speaker |
SPEAKER_28 |
transcript.pyannote[2391].start |
27927.26159375 |
transcript.pyannote[2391].end |
27927.78471875 |
transcript.pyannote[2392].speaker |
SPEAKER_15 |
transcript.pyannote[2392].start |
27929.08409375 |
transcript.pyannote[2392].end |
27930.82221875 |
transcript.pyannote[2393].speaker |
SPEAKER_15 |
transcript.pyannote[2393].start |
27934.72034375 |
transcript.pyannote[2393].end |
27939.02346875 |
transcript.pyannote[2394].speaker |
SPEAKER_15 |
transcript.pyannote[2394].start |
27939.78284375 |
transcript.pyannote[2394].end |
27941.28471875 |
transcript.pyannote[2395].speaker |
SPEAKER_15 |
transcript.pyannote[2395].start |
27942.02721875 |
transcript.pyannote[2395].end |
27947.86596875 |
transcript.pyannote[2396].speaker |
SPEAKER_15 |
transcript.pyannote[2396].start |
27949.19909375 |
transcript.pyannote[2396].end |
27950.56596875 |
transcript.pyannote[2397].speaker |
SPEAKER_02 |
transcript.pyannote[2397].start |
27950.98784375 |
transcript.pyannote[2397].end |
27952.32096875 |
transcript.pyannote[2398].speaker |
SPEAKER_15 |
transcript.pyannote[2398].start |
27952.84409375 |
transcript.pyannote[2398].end |
27956.57346875 |
transcript.pyannote[2399].speaker |
SPEAKER_15 |
transcript.pyannote[2399].start |
27957.13034375 |
transcript.pyannote[2399].end |
27960.04971875 |
transcript.pyannote[2400].speaker |
SPEAKER_15 |
transcript.pyannote[2400].start |
27960.67409375 |
transcript.pyannote[2400].end |
27972.79034375 |
transcript.pyannote[2401].speaker |
SPEAKER_02 |
transcript.pyannote[2401].start |
27972.92534375 |
transcript.pyannote[2401].end |
27973.53284375 |
transcript.pyannote[2402].speaker |
SPEAKER_02 |
transcript.pyannote[2402].start |
27974.07284375 |
transcript.pyannote[2402].end |
27979.03409375 |
transcript.pyannote[2403].speaker |
SPEAKER_02 |
transcript.pyannote[2403].start |
27979.45596875 |
transcript.pyannote[2403].end |
27981.46409375 |
transcript.pyannote[2404].speaker |
SPEAKER_02 |
transcript.pyannote[2404].start |
27981.70034375 |
transcript.pyannote[2404].end |
27986.12159375 |
transcript.pyannote[2405].speaker |
SPEAKER_02 |
transcript.pyannote[2405].start |
27986.47596875 |
transcript.pyannote[2405].end |
27990.03659375 |
transcript.pyannote[2406].speaker |
SPEAKER_02 |
transcript.pyannote[2406].start |
27990.22221875 |
transcript.pyannote[2406].end |
27992.36534375 |
transcript.pyannote[2407].speaker |
SPEAKER_02 |
transcript.pyannote[2407].start |
27992.77034375 |
transcript.pyannote[2407].end |
27993.68159375 |
transcript.pyannote[2408].speaker |
SPEAKER_02 |
transcript.pyannote[2408].start |
27994.22159375 |
transcript.pyannote[2408].end |
27999.01409375 |
transcript.pyannote[2409].speaker |
SPEAKER_15 |
transcript.pyannote[2409].start |
27999.01409375 |
transcript.pyannote[2409].end |
27999.75659375 |
transcript.pyannote[2410].speaker |
SPEAKER_02 |
transcript.pyannote[2410].start |
28000.16159375 |
transcript.pyannote[2410].end |
28000.44846875 |
transcript.pyannote[2411].speaker |
SPEAKER_15 |
transcript.pyannote[2411].start |
28000.44846875 |
transcript.pyannote[2411].end |
28001.89971875 |
transcript.pyannote[2412].speaker |
SPEAKER_02 |
transcript.pyannote[2412].start |
28001.17409375 |
transcript.pyannote[2412].end |
28008.41346875 |
transcript.pyannote[2413].speaker |
SPEAKER_15 |
transcript.pyannote[2413].start |
28009.34159375 |
transcript.pyannote[2413].end |
28010.55659375 |
transcript.pyannote[2414].speaker |
SPEAKER_15 |
transcript.pyannote[2414].start |
28010.70846875 |
transcript.pyannote[2414].end |
28010.72534375 |
transcript.pyannote[2415].speaker |
SPEAKER_02 |
transcript.pyannote[2415].start |
28010.72534375 |
transcript.pyannote[2415].end |
28017.45846875 |
transcript.pyannote[2416].speaker |
SPEAKER_15 |
transcript.pyannote[2416].start |
28010.96159375 |
transcript.pyannote[2416].end |
28011.31596875 |
transcript.pyannote[2417].speaker |
SPEAKER_02 |
transcript.pyannote[2417].start |
28017.93096875 |
transcript.pyannote[2417].end |
28022.99346875 |
transcript.pyannote[2418].speaker |
SPEAKER_21 |
transcript.pyannote[2418].start |
28022.72346875 |
transcript.pyannote[2418].end |
28022.74034375 |
transcript.pyannote[2419].speaker |
SPEAKER_11 |
transcript.pyannote[2419].start |
28022.74034375 |
transcript.pyannote[2419].end |
28022.75721875 |
transcript.pyannote[2420].speaker |
SPEAKER_21 |
transcript.pyannote[2420].start |
28022.75721875 |
transcript.pyannote[2420].end |
28023.04409375 |
transcript.pyannote[2421].speaker |
SPEAKER_02 |
transcript.pyannote[2421].start |
28023.04409375 |
transcript.pyannote[2421].end |
28023.09471875 |
transcript.pyannote[2422].speaker |
SPEAKER_02 |
transcript.pyannote[2422].start |
28023.38159375 |
transcript.pyannote[2422].end |
28030.58721875 |
transcript.pyannote[2423].speaker |
SPEAKER_02 |
transcript.pyannote[2423].start |
28032.05534375 |
transcript.pyannote[2423].end |
28034.45159375 |
transcript.pyannote[2424].speaker |
SPEAKER_15 |
transcript.pyannote[2424].start |
28036.18971875 |
transcript.pyannote[2424].end |
28039.81784375 |
transcript.pyannote[2425].speaker |
SPEAKER_02 |
transcript.pyannote[2425].start |
28038.26534375 |
transcript.pyannote[2425].end |
28048.25534375 |
transcript.pyannote[2426].speaker |
SPEAKER_02 |
transcript.pyannote[2426].start |
28048.40721875 |
transcript.pyannote[2426].end |
28049.80784375 |
transcript.pyannote[2427].speaker |
SPEAKER_15 |
transcript.pyannote[2427].start |
28050.34784375 |
transcript.pyannote[2427].end |
28055.30909375 |
transcript.pyannote[2428].speaker |
SPEAKER_02 |
transcript.pyannote[2428].start |
28054.83659375 |
transcript.pyannote[2428].end |
28064.40471875 |
transcript.pyannote[2429].speaker |
SPEAKER_15 |
transcript.pyannote[2429].start |
28064.60721875 |
transcript.pyannote[2429].end |
28067.69534375 |
transcript.pyannote[2430].speaker |
SPEAKER_15 |
transcript.pyannote[2430].start |
28067.81346875 |
transcript.pyannote[2430].end |
28068.28596875 |
transcript.pyannote[2431].speaker |
SPEAKER_15 |
transcript.pyannote[2431].start |
28068.84284375 |
transcript.pyannote[2431].end |
28072.87596875 |
transcript.pyannote[2432].speaker |
SPEAKER_15 |
transcript.pyannote[2432].start |
28072.94346875 |
transcript.pyannote[2432].end |
28088.97471875 |
transcript.pyannote[2433].speaker |
SPEAKER_25 |
transcript.pyannote[2433].start |
28077.73596875 |
transcript.pyannote[2433].end |
28077.87096875 |
transcript.pyannote[2434].speaker |
SPEAKER_26 |
transcript.pyannote[2434].start |
28089.04221875 |
transcript.pyannote[2434].end |
28089.05909375 |
transcript.pyannote[2435].speaker |
SPEAKER_15 |
transcript.pyannote[2435].start |
28089.05909375 |
transcript.pyannote[2435].end |
28089.09284375 |
transcript.pyannote[2436].speaker |
SPEAKER_26 |
transcript.pyannote[2436].start |
28089.09284375 |
transcript.pyannote[2436].end |
28095.52221875 |
transcript.pyannote[2437].speaker |
SPEAKER_26 |
transcript.pyannote[2437].start |
28095.64034375 |
transcript.pyannote[2437].end |
28098.74534375 |
transcript.pyannote[2438].speaker |
SPEAKER_26 |
transcript.pyannote[2438].start |
28099.04909375 |
transcript.pyannote[2438].end |
28104.75284375 |
transcript.pyannote[2439].speaker |
SPEAKER_15 |
transcript.pyannote[2439].start |
28104.75284375 |
transcript.pyannote[2439].end |
28111.21596875 |
transcript.pyannote[2440].speaker |
SPEAKER_26 |
transcript.pyannote[2440].start |
28104.78659375 |
transcript.pyannote[2440].end |
28105.25909375 |
transcript.pyannote[2441].speaker |
SPEAKER_26 |
transcript.pyannote[2441].start |
28106.28846875 |
transcript.pyannote[2441].end |
28107.16596875 |
transcript.pyannote[2442].speaker |
SPEAKER_15 |
transcript.pyannote[2442].start |
28111.36784375 |
transcript.pyannote[2442].end |
28119.23159375 |
transcript.pyannote[2443].speaker |
SPEAKER_15 |
transcript.pyannote[2443].start |
28119.48471875 |
transcript.pyannote[2443].end |
28128.69846875 |
transcript.pyannote[2444].speaker |
SPEAKER_26 |
transcript.pyannote[2444].start |
28121.08784375 |
transcript.pyannote[2444].end |
28123.07909375 |
transcript.pyannote[2445].speaker |
SPEAKER_26 |
transcript.pyannote[2445].start |
28128.69846875 |
transcript.pyannote[2445].end |
28128.71534375 |
transcript.pyannote[2446].speaker |
SPEAKER_15 |
transcript.pyannote[2446].start |
28129.37346875 |
transcript.pyannote[2446].end |
28129.39034375 |
transcript.pyannote[2447].speaker |
SPEAKER_26 |
transcript.pyannote[2447].start |
28129.39034375 |
transcript.pyannote[2447].end |
28129.55909375 |
transcript.pyannote[2448].speaker |
SPEAKER_15 |
transcript.pyannote[2448].start |
28129.55909375 |
transcript.pyannote[2448].end |
28129.62659375 |
transcript.pyannote[2449].speaker |
SPEAKER_15 |
transcript.pyannote[2449].start |
28129.76159375 |
transcript.pyannote[2449].end |
28129.82909375 |
transcript.pyannote[2450].speaker |
SPEAKER_26 |
transcript.pyannote[2450].start |
28129.82909375 |
transcript.pyannote[2450].end |
28140.96659375 |
transcript.pyannote[2451].speaker |
SPEAKER_15 |
transcript.pyannote[2451].start |
28138.99221875 |
transcript.pyannote[2451].end |
28139.49846875 |
transcript.pyannote[2452].speaker |
SPEAKER_15 |
transcript.pyannote[2452].start |
28140.96659375 |
transcript.pyannote[2452].end |
28146.68721875 |
transcript.pyannote[2453].speaker |
SPEAKER_15 |
transcript.pyannote[2453].start |
28147.02471875 |
transcript.pyannote[2453].end |
28150.58534375 |
transcript.pyannote[2454].speaker |
SPEAKER_15 |
transcript.pyannote[2454].start |
28150.88909375 |
transcript.pyannote[2454].end |
28155.91784375 |
transcript.pyannote[2455].speaker |
SPEAKER_15 |
transcript.pyannote[2455].start |
28156.60971875 |
transcript.pyannote[2455].end |
28158.36471875 |
transcript.pyannote[2456].speaker |
SPEAKER_05 |
transcript.pyannote[2456].start |
28158.36471875 |
transcript.pyannote[2456].end |
28158.39846875 |
transcript.pyannote[2457].speaker |
SPEAKER_05 |
transcript.pyannote[2457].start |
28159.02284375 |
transcript.pyannote[2457].end |
28162.00971875 |
transcript.pyannote[2458].speaker |
SPEAKER_05 |
transcript.pyannote[2458].start |
28162.63409375 |
transcript.pyannote[2458].end |
28168.28721875 |
transcript.pyannote[2459].speaker |
SPEAKER_05 |
transcript.pyannote[2459].start |
28168.69221875 |
transcript.pyannote[2459].end |
28169.36721875 |
transcript.pyannote[2460].speaker |
SPEAKER_05 |
transcript.pyannote[2460].start |
28169.63721875 |
transcript.pyannote[2460].end |
28171.45971875 |
transcript.pyannote[2461].speaker |
SPEAKER_05 |
transcript.pyannote[2461].start |
28171.91534375 |
transcript.pyannote[2461].end |
28179.47534375 |
transcript.pyannote[2462].speaker |
SPEAKER_15 |
transcript.pyannote[2462].start |
28177.41659375 |
transcript.pyannote[2462].end |
28185.02721875 |
transcript.pyannote[2463].speaker |
SPEAKER_05 |
transcript.pyannote[2463].start |
28182.42846875 |
transcript.pyannote[2463].end |
28182.56346875 |
transcript.pyannote[2464].speaker |
SPEAKER_15 |
transcript.pyannote[2464].start |
28185.49971875 |
transcript.pyannote[2464].end |
28190.20784375 |
transcript.pyannote[2465].speaker |
SPEAKER_15 |
transcript.pyannote[2465].start |
28190.81534375 |
transcript.pyannote[2465].end |
28191.03471875 |
transcript.pyannote[2466].speaker |
SPEAKER_05 |
transcript.pyannote[2466].start |
28191.03471875 |
transcript.pyannote[2466].end |
28191.82784375 |
transcript.pyannote[2467].speaker |
SPEAKER_15 |
transcript.pyannote[2467].start |
28191.82784375 |
transcript.pyannote[2467].end |
28191.84471875 |
transcript.pyannote[2468].speaker |
SPEAKER_05 |
transcript.pyannote[2468].start |
28192.51971875 |
transcript.pyannote[2468].end |
28194.54471875 |
transcript.pyannote[2469].speaker |
SPEAKER_05 |
transcript.pyannote[2469].start |
28195.03409375 |
transcript.pyannote[2469].end |
28196.60346875 |
transcript.pyannote[2470].speaker |
SPEAKER_25 |
transcript.pyannote[2470].start |
28196.60346875 |
transcript.pyannote[2470].end |
28196.89034375 |
transcript.pyannote[2471].speaker |
SPEAKER_05 |
transcript.pyannote[2471].start |
28196.89034375 |
transcript.pyannote[2471].end |
28196.90721875 |
transcript.pyannote[2472].speaker |
SPEAKER_05 |
transcript.pyannote[2472].start |
28196.99159375 |
transcript.pyannote[2472].end |
28197.49784375 |
transcript.pyannote[2473].speaker |
SPEAKER_05 |
transcript.pyannote[2473].start |
28197.80159375 |
transcript.pyannote[2473].end |
28200.41721875 |
transcript.pyannote[2474].speaker |
SPEAKER_05 |
transcript.pyannote[2474].start |
28200.68721875 |
transcript.pyannote[2474].end |
28205.63159375 |
transcript.pyannote[2475].speaker |
SPEAKER_05 |
transcript.pyannote[2475].start |
28205.98596875 |
transcript.pyannote[2475].end |
28213.96784375 |
transcript.pyannote[2476].speaker |
SPEAKER_00 |
transcript.pyannote[2476].start |
28208.53409375 |
transcript.pyannote[2476].end |
28208.83784375 |
transcript.pyannote[2477].speaker |
SPEAKER_15 |
transcript.pyannote[2477].start |
28213.96784375 |
transcript.pyannote[2477].end |
28222.05096875 |
transcript.pyannote[2478].speaker |
SPEAKER_15 |
transcript.pyannote[2478].start |
28222.52346875 |
transcript.pyannote[2478].end |
28244.20784375 |
transcript.pyannote[2479].speaker |
SPEAKER_15 |
transcript.pyannote[2479].start |
28244.69721875 |
transcript.pyannote[2479].end |
28247.31284375 |
transcript.pyannote[2480].speaker |
SPEAKER_15 |
transcript.pyannote[2480].start |
28247.73471875 |
transcript.pyannote[2480].end |
28251.09284375 |
transcript.pyannote[2481].speaker |
SPEAKER_15 |
transcript.pyannote[2481].start |
28251.76784375 |
transcript.pyannote[2481].end |
28257.18471875 |
transcript.pyannote[2482].speaker |
SPEAKER_15 |
transcript.pyannote[2482].start |
28257.45471875 |
transcript.pyannote[2482].end |
28262.21346875 |
transcript.pyannote[2483].speaker |
SPEAKER_05 |
transcript.pyannote[2483].start |
28260.52596875 |
transcript.pyannote[2483].end |
28270.97159375 |
transcript.pyannote[2484].speaker |
SPEAKER_14 |
transcript.pyannote[2484].start |
28262.21346875 |
transcript.pyannote[2484].end |
28263.17534375 |
transcript.pyannote[2485].speaker |
SPEAKER_15 |
transcript.pyannote[2485].start |
28270.97159375 |
transcript.pyannote[2485].end |
28275.67971875 |
transcript.pyannote[2486].speaker |
SPEAKER_15 |
transcript.pyannote[2486].start |
28276.57409375 |
transcript.pyannote[2486].end |
28283.25659375 |
transcript.pyannote[2487].speaker |
SPEAKER_15 |
transcript.pyannote[2487].start |
28283.76284375 |
transcript.pyannote[2487].end |
28288.58909375 |
transcript.pyannote[2488].speaker |
SPEAKER_15 |
transcript.pyannote[2488].start |
28288.94346875 |
transcript.pyannote[2488].end |
28289.51721875 |
transcript.pyannote[2489].speaker |
SPEAKER_05 |
transcript.pyannote[2489].start |
28289.11221875 |
transcript.pyannote[2489].end |
28292.57159375 |
transcript.pyannote[2490].speaker |
SPEAKER_15 |
transcript.pyannote[2490].start |
28291.05284375 |
transcript.pyannote[2490].end |
28291.37346875 |
transcript.pyannote[2491].speaker |
SPEAKER_15 |
transcript.pyannote[2491].start |
28292.57159375 |
transcript.pyannote[2491].end |
28296.48659375 |
transcript.pyannote[2492].speaker |
SPEAKER_05 |
transcript.pyannote[2492].start |
28292.60534375 |
transcript.pyannote[2492].end |
28292.97659375 |
transcript.pyannote[2493].speaker |
SPEAKER_15 |
transcript.pyannote[2493].start |
28296.94221875 |
transcript.pyannote[2493].end |
28300.23284375 |
transcript.pyannote[2494].speaker |
SPEAKER_15 |
transcript.pyannote[2494].start |
28300.63784375 |
transcript.pyannote[2494].end |
28308.24846875 |
transcript.pyannote[2495].speaker |
SPEAKER_15 |
transcript.pyannote[2495].start |
28308.75471875 |
transcript.pyannote[2495].end |
28309.90221875 |
transcript.pyannote[2496].speaker |
SPEAKER_15 |
transcript.pyannote[2496].start |
28310.25659375 |
transcript.pyannote[2496].end |
28312.97346875 |
transcript.pyannote[2497].speaker |
SPEAKER_15 |
transcript.pyannote[2497].start |
28313.29409375 |
transcript.pyannote[2497].end |
28317.91784375 |
transcript.pyannote[2498].speaker |
SPEAKER_15 |
transcript.pyannote[2498].start |
28318.67721875 |
transcript.pyannote[2498].end |
28318.69409375 |
transcript.pyannote[2499].speaker |
SPEAKER_05 |
transcript.pyannote[2499].start |
28318.69409375 |
transcript.pyannote[2499].end |
28321.52909375 |
transcript.pyannote[2500].speaker |
SPEAKER_15 |
transcript.pyannote[2500].start |
28321.52909375 |
transcript.pyannote[2500].end |
28328.21159375 |
transcript.pyannote[2501].speaker |
SPEAKER_05 |
transcript.pyannote[2501].start |
28321.54596875 |
transcript.pyannote[2501].end |
28322.81159375 |
transcript.pyannote[2502].speaker |
SPEAKER_05 |
transcript.pyannote[2502].start |
28324.02659375 |
transcript.pyannote[2502].end |
28324.54971875 |
transcript.pyannote[2503].speaker |
SPEAKER_05 |
transcript.pyannote[2503].start |
28327.04721875 |
transcript.pyannote[2503].end |
28327.16534375 |
transcript.pyannote[2504].speaker |
SPEAKER_15 |
transcript.pyannote[2504].start |
28328.85284375 |
transcript.pyannote[2504].end |
28330.08471875 |
transcript.pyannote[2505].speaker |
SPEAKER_05 |
transcript.pyannote[2505].start |
28328.92034375 |
transcript.pyannote[2505].end |
28329.03846875 |
transcript.pyannote[2506].speaker |
SPEAKER_28 |
transcript.pyannote[2506].start |
28329.03846875 |
transcript.pyannote[2506].end |
28329.34221875 |
transcript.pyannote[2507].speaker |
SPEAKER_15 |
transcript.pyannote[2507].start |
28330.33784375 |
transcript.pyannote[2507].end |
28333.00409375 |
transcript.pyannote[2508].speaker |
SPEAKER_25 |
transcript.pyannote[2508].start |
28330.43909375 |
transcript.pyannote[2508].end |
28330.54034375 |
transcript.pyannote[2509].speaker |
SPEAKER_25 |
transcript.pyannote[2509].start |
28331.04659375 |
transcript.pyannote[2509].end |
28331.36721875 |
transcript.pyannote[2510].speaker |
SPEAKER_28 |
transcript.pyannote[2510].start |
28331.36721875 |
transcript.pyannote[2510].end |
28331.38409375 |
transcript.pyannote[2511].speaker |
SPEAKER_25 |
transcript.pyannote[2511].start |
28331.38409375 |
transcript.pyannote[2511].end |
28331.80596875 |
transcript.pyannote[2512].speaker |
SPEAKER_28 |
transcript.pyannote[2512].start |
28332.31221875 |
transcript.pyannote[2512].end |
28335.28221875 |
transcript.pyannote[2513].speaker |
SPEAKER_28 |
transcript.pyannote[2513].start |
28340.27721875 |
transcript.pyannote[2513].end |
28347.33096875 |
transcript.pyannote[2514].speaker |
SPEAKER_03 |
transcript.pyannote[2514].start |
28355.83596875 |
transcript.pyannote[2514].end |
28361.11784375 |
transcript.pyannote[2515].speaker |
SPEAKER_28 |
transcript.pyannote[2515].start |
28361.80971875 |
transcript.pyannote[2515].end |
28365.69096875 |
transcript.pyannote[2516].speaker |
SPEAKER_05 |
transcript.pyannote[2516].start |
28374.83721875 |
transcript.pyannote[2516].end |
28374.85409375 |
transcript.pyannote[2517].speaker |
SPEAKER_03 |
transcript.pyannote[2517].start |
28374.85409375 |
transcript.pyannote[2517].end |
28374.90471875 |
transcript.pyannote[2518].speaker |
SPEAKER_05 |
transcript.pyannote[2518].start |
28374.90471875 |
transcript.pyannote[2518].end |
28375.57971875 |
transcript.pyannote[2519].speaker |
SPEAKER_03 |
transcript.pyannote[2519].start |
28376.13659375 |
transcript.pyannote[2519].end |
28376.82846875 |
transcript.pyannote[2520].speaker |
SPEAKER_03 |
transcript.pyannote[2520].start |
28377.43596875 |
transcript.pyannote[2520].end |
28379.81534375 |
transcript.pyannote[2521].speaker |
SPEAKER_03 |
transcript.pyannote[2521].start |
28380.40596875 |
transcript.pyannote[2521].end |
28380.79409375 |
transcript.pyannote[2522].speaker |
SPEAKER_03 |
transcript.pyannote[2522].start |
28381.92471875 |
transcript.pyannote[2522].end |
28385.24909375 |
transcript.pyannote[2523].speaker |
SPEAKER_03 |
transcript.pyannote[2523].start |
28385.41784375 |
transcript.pyannote[2523].end |
28389.65346875 |
transcript.pyannote[2524].speaker |
SPEAKER_03 |
transcript.pyannote[2524].start |
28390.09221875 |
transcript.pyannote[2524].end |
28390.69971875 |
transcript.pyannote[2525].speaker |
SPEAKER_03 |
transcript.pyannote[2525].start |
28390.98659375 |
transcript.pyannote[2525].end |
28398.90096875 |
transcript.pyannote[2526].speaker |
SPEAKER_03 |
transcript.pyannote[2526].start |
28399.79534375 |
transcript.pyannote[2526].end |
28403.99721875 |
transcript.pyannote[2527].speaker |
SPEAKER_03 |
transcript.pyannote[2527].start |
28404.31784375 |
transcript.pyannote[2527].end |
28407.82784375 |
transcript.pyannote[2528].speaker |
SPEAKER_03 |
transcript.pyannote[2528].start |
28408.04721875 |
transcript.pyannote[2528].end |
28410.88221875 |
transcript.pyannote[2529].speaker |
SPEAKER_03 |
transcript.pyannote[2529].start |
28411.21971875 |
transcript.pyannote[2529].end |
28414.35846875 |
transcript.pyannote[2530].speaker |
SPEAKER_03 |
transcript.pyannote[2530].start |
28414.69596875 |
transcript.pyannote[2530].end |
28417.02471875 |
transcript.pyannote[2531].speaker |
SPEAKER_03 |
transcript.pyannote[2531].start |
28417.07534375 |
transcript.pyannote[2531].end |
28418.69534375 |
transcript.pyannote[2532].speaker |
SPEAKER_03 |
transcript.pyannote[2532].start |
28419.31971875 |
transcript.pyannote[2532].end |
28419.74159375 |
transcript.pyannote[2533].speaker |
SPEAKER_03 |
transcript.pyannote[2533].start |
28420.18034375 |
transcript.pyannote[2533].end |
28425.19221875 |
transcript.pyannote[2534].speaker |
SPEAKER_03 |
transcript.pyannote[2534].start |
28425.61409375 |
transcript.pyannote[2534].end |
28427.58846875 |
transcript.pyannote[2535].speaker |
SPEAKER_03 |
transcript.pyannote[2535].start |
28427.85846875 |
transcript.pyannote[2535].end |
28432.41471875 |
transcript.pyannote[2536].speaker |
SPEAKER_03 |
transcript.pyannote[2536].start |
28432.53284375 |
transcript.pyannote[2536].end |
28432.75221875 |
transcript.pyannote[2537].speaker |
SPEAKER_03 |
transcript.pyannote[2537].start |
28433.02221875 |
transcript.pyannote[2537].end |
28435.77284375 |
transcript.pyannote[2538].speaker |
SPEAKER_03 |
transcript.pyannote[2538].start |
28435.89096875 |
transcript.pyannote[2538].end |
28439.24909375 |
transcript.pyannote[2539].speaker |
SPEAKER_03 |
transcript.pyannote[2539].start |
28439.58659375 |
transcript.pyannote[2539].end |
28440.66659375 |
transcript.pyannote[2540].speaker |
SPEAKER_03 |
transcript.pyannote[2540].start |
28440.91971875 |
transcript.pyannote[2540].end |
28441.93221875 |
transcript.pyannote[2541].speaker |
SPEAKER_03 |
transcript.pyannote[2541].start |
28442.06721875 |
transcript.pyannote[2541].end |
28446.67409375 |
transcript.pyannote[2542].speaker |
SPEAKER_03 |
transcript.pyannote[2542].start |
28447.04534375 |
transcript.pyannote[2542].end |
28447.92284375 |
transcript.pyannote[2543].speaker |
SPEAKER_03 |
transcript.pyannote[2543].start |
28449.20534375 |
transcript.pyannote[2543].end |
28457.40659375 |
transcript.pyannote[2544].speaker |
SPEAKER_03 |
transcript.pyannote[2544].start |
28457.60909375 |
transcript.pyannote[2544].end |
28468.24034375 |
transcript.pyannote[2545].speaker |
SPEAKER_03 |
transcript.pyannote[2545].start |
28468.42596875 |
transcript.pyannote[2545].end |
28477.90971875 |
transcript.pyannote[2546].speaker |
SPEAKER_03 |
transcript.pyannote[2546].start |
28478.01096875 |
transcript.pyannote[2546].end |
28482.70221875 |
transcript.pyannote[2547].speaker |
SPEAKER_03 |
transcript.pyannote[2547].start |
28483.39409375 |
transcript.pyannote[2547].end |
28485.57096875 |
transcript.pyannote[2548].speaker |
SPEAKER_03 |
transcript.pyannote[2548].start |
28486.17846875 |
transcript.pyannote[2548].end |
28489.13159375 |
transcript.pyannote[2549].speaker |
SPEAKER_03 |
transcript.pyannote[2549].start |
28489.51971875 |
transcript.pyannote[2549].end |
28497.06284375 |
transcript.pyannote[2550].speaker |
SPEAKER_03 |
transcript.pyannote[2550].start |
28497.26534375 |
transcript.pyannote[2550].end |
28502.95221875 |
transcript.pyannote[2551].speaker |
SPEAKER_03 |
transcript.pyannote[2551].start |
28503.12096875 |
transcript.pyannote[2551].end |
28505.66909375 |
transcript.pyannote[2552].speaker |
SPEAKER_03 |
transcript.pyannote[2552].start |
28506.15846875 |
transcript.pyannote[2552].end |
28514.02221875 |
transcript.pyannote[2553].speaker |
SPEAKER_03 |
transcript.pyannote[2553].start |
28514.25846875 |
transcript.pyannote[2553].end |
28525.26096875 |
transcript.pyannote[2554].speaker |
SPEAKER_03 |
transcript.pyannote[2554].start |
28525.61534375 |
transcript.pyannote[2554].end |
28528.02846875 |
transcript.pyannote[2555].speaker |
SPEAKER_03 |
transcript.pyannote[2555].start |
28528.29846875 |
transcript.pyannote[2555].end |
28536.17909375 |
transcript.pyannote[2556].speaker |
SPEAKER_03 |
transcript.pyannote[2556].start |
28536.33096875 |
transcript.pyannote[2556].end |
28538.77784375 |
transcript.pyannote[2557].speaker |
SPEAKER_03 |
transcript.pyannote[2557].start |
28539.21659375 |
transcript.pyannote[2557].end |
28541.02221875 |
transcript.pyannote[2558].speaker |
SPEAKER_03 |
transcript.pyannote[2558].start |
28541.34284375 |
transcript.pyannote[2558].end |
28541.74784375 |
transcript.pyannote[2559].speaker |
SPEAKER_03 |
transcript.pyannote[2559].start |
28542.10221875 |
transcript.pyannote[2559].end |
28542.45659375 |
transcript.pyannote[2560].speaker |
SPEAKER_03 |
transcript.pyannote[2560].start |
28543.19909375 |
transcript.pyannote[2560].end |
28545.00471875 |
transcript.pyannote[2561].speaker |
SPEAKER_03 |
transcript.pyannote[2561].start |
28545.07221875 |
transcript.pyannote[2561].end |
28547.46846875 |
transcript.pyannote[2562].speaker |
SPEAKER_03 |
transcript.pyannote[2562].start |
28547.77221875 |
transcript.pyannote[2562].end |
28549.56096875 |
transcript.pyannote[2563].speaker |
SPEAKER_03 |
transcript.pyannote[2563].start |
28549.59471875 |
transcript.pyannote[2563].end |
28554.15096875 |
transcript.pyannote[2564].speaker |
SPEAKER_03 |
transcript.pyannote[2564].start |
28554.25221875 |
transcript.pyannote[2564].end |
28560.74909375 |
transcript.pyannote[2565].speaker |
SPEAKER_03 |
transcript.pyannote[2565].start |
28560.90096875 |
transcript.pyannote[2565].end |
28564.30971875 |
transcript.pyannote[2566].speaker |
SPEAKER_03 |
transcript.pyannote[2566].start |
28564.37721875 |
transcript.pyannote[2566].end |
28564.52909375 |
transcript.pyannote[2567].speaker |
SPEAKER_03 |
transcript.pyannote[2567].start |
28564.64721875 |
transcript.pyannote[2567].end |
28567.63409375 |
transcript.pyannote[2568].speaker |
SPEAKER_03 |
transcript.pyannote[2568].start |
28568.34284375 |
transcript.pyannote[2568].end |
28578.13034375 |
transcript.pyannote[2569].speaker |
SPEAKER_03 |
transcript.pyannote[2569].start |
28578.40034375 |
transcript.pyannote[2569].end |
28579.69971875 |
transcript.pyannote[2570].speaker |
SPEAKER_03 |
transcript.pyannote[2570].start |
28579.96971875 |
transcript.pyannote[2570].end |
28583.12534375 |
transcript.pyannote[2571].speaker |
SPEAKER_03 |
transcript.pyannote[2571].start |
28583.32784375 |
transcript.pyannote[2571].end |
28583.69909375 |
transcript.pyannote[2572].speaker |
SPEAKER_03 |
transcript.pyannote[2572].start |
28584.07034375 |
transcript.pyannote[2572].end |
28590.51659375 |
transcript.pyannote[2573].speaker |
SPEAKER_03 |
transcript.pyannote[2573].start |
28590.82034375 |
transcript.pyannote[2573].end |
28604.96159375 |
transcript.pyannote[2574].speaker |
SPEAKER_03 |
transcript.pyannote[2574].start |
28605.24846875 |
transcript.pyannote[2574].end |
28607.84721875 |
transcript.pyannote[2575].speaker |
SPEAKER_03 |
transcript.pyannote[2575].start |
28608.42096875 |
transcript.pyannote[2575].end |
28609.09596875 |
transcript.pyannote[2576].speaker |
SPEAKER_03 |
transcript.pyannote[2576].start |
28609.48409375 |
transcript.pyannote[2576].end |
28612.36971875 |
transcript.pyannote[2577].speaker |
SPEAKER_03 |
transcript.pyannote[2577].start |
28612.53846875 |
transcript.pyannote[2577].end |
28613.19659375 |
transcript.pyannote[2578].speaker |
SPEAKER_03 |
transcript.pyannote[2578].start |
28613.55096875 |
transcript.pyannote[2578].end |
28615.08659375 |
transcript.pyannote[2579].speaker |
SPEAKER_03 |
transcript.pyannote[2579].start |
28615.44096875 |
transcript.pyannote[2579].end |
28615.74471875 |
transcript.pyannote[2580].speaker |
SPEAKER_03 |
transcript.pyannote[2580].start |
28616.01471875 |
transcript.pyannote[2580].end |
28625.83596875 |
transcript.pyannote[2581].speaker |
SPEAKER_03 |
transcript.pyannote[2581].start |
28625.90346875 |
transcript.pyannote[2581].end |
28629.59909375 |
transcript.pyannote[2582].speaker |
SPEAKER_03 |
transcript.pyannote[2582].start |
28629.81846875 |
transcript.pyannote[2582].end |
28635.45471875 |
transcript.pyannote[2583].speaker |
SPEAKER_27 |
transcript.pyannote[2583].start |
28634.77971875 |
transcript.pyannote[2583].end |
28638.76221875 |
transcript.pyannote[2584].speaker |
SPEAKER_27 |
transcript.pyannote[2584].start |
28639.18409375 |
transcript.pyannote[2584].end |
28645.69784375 |
transcript.pyannote[2585].speaker |
SPEAKER_27 |
transcript.pyannote[2585].start |
28646.23784375 |
transcript.pyannote[2585].end |
28649.86596875 |
transcript.pyannote[2586].speaker |
SPEAKER_27 |
transcript.pyannote[2586].start |
28650.30471875 |
transcript.pyannote[2586].end |
28651.30034375 |
transcript.pyannote[2587].speaker |
SPEAKER_27 |
transcript.pyannote[2587].start |
28651.65471875 |
transcript.pyannote[2587].end |
28654.52346875 |
transcript.pyannote[2588].speaker |
SPEAKER_27 |
transcript.pyannote[2588].start |
28654.74284375 |
transcript.pyannote[2588].end |
28656.49784375 |
transcript.pyannote[2589].speaker |
SPEAKER_27 |
transcript.pyannote[2589].start |
28656.90284375 |
transcript.pyannote[2589].end |
28667.58471875 |
transcript.pyannote[2590].speaker |
SPEAKER_03 |
transcript.pyannote[2590].start |
28658.01659375 |
transcript.pyannote[2590].end |
28658.72534375 |
transcript.pyannote[2591].speaker |
SPEAKER_03 |
transcript.pyannote[2591].start |
28660.46346875 |
transcript.pyannote[2591].end |
28661.45909375 |
transcript.pyannote[2592].speaker |
SPEAKER_03 |
transcript.pyannote[2592].start |
28662.87659375 |
transcript.pyannote[2592].end |
28683.41346875 |
transcript.pyannote[2593].speaker |
SPEAKER_27 |
transcript.pyannote[2593].start |
28682.36721875 |
transcript.pyannote[2593].end |
28687.88534375 |
transcript.pyannote[2594].speaker |
SPEAKER_27 |
transcript.pyannote[2594].start |
28688.13846875 |
transcript.pyannote[2594].end |
28710.04221875 |
transcript.pyannote[2595].speaker |
SPEAKER_27 |
transcript.pyannote[2595].start |
28710.39659375 |
transcript.pyannote[2595].end |
28713.88971875 |
transcript.pyannote[2596].speaker |
SPEAKER_27 |
transcript.pyannote[2596].start |
28714.27784375 |
transcript.pyannote[2596].end |
28720.72409375 |
transcript.pyannote[2597].speaker |
SPEAKER_27 |
transcript.pyannote[2597].start |
28721.02784375 |
transcript.pyannote[2597].end |
28742.96534375 |
transcript.pyannote[2598].speaker |
SPEAKER_25 |
transcript.pyannote[2598].start |
28736.48534375 |
transcript.pyannote[2598].end |
28736.51909375 |
transcript.pyannote[2599].speaker |
SPEAKER_03 |
transcript.pyannote[2599].start |
28736.51909375 |
transcript.pyannote[2599].end |
28737.19409375 |
transcript.pyannote[2600].speaker |
SPEAKER_00 |
transcript.pyannote[2600].start |
28737.19409375 |
transcript.pyannote[2600].end |
28737.24471875 |
transcript.pyannote[2601].speaker |
SPEAKER_00 |
transcript.pyannote[2601].start |
28738.54409375 |
transcript.pyannote[2601].end |
28738.59471875 |
transcript.pyannote[2602].speaker |
SPEAKER_03 |
transcript.pyannote[2602].start |
28738.59471875 |
transcript.pyannote[2602].end |
28752.51659375 |
transcript.pyannote[2603].speaker |
SPEAKER_03 |
transcript.pyannote[2603].start |
28752.80346875 |
transcript.pyannote[2603].end |
28757.49471875 |
transcript.pyannote[2604].speaker |
SPEAKER_03 |
transcript.pyannote[2604].start |
28758.08534375 |
transcript.pyannote[2604].end |
28762.03409375 |
transcript.pyannote[2605].speaker |
SPEAKER_03 |
transcript.pyannote[2605].start |
28762.32096875 |
transcript.pyannote[2605].end |
28779.29721875 |
transcript.pyannote[2606].speaker |
SPEAKER_05 |
transcript.pyannote[2606].start |
28772.12534375 |
transcript.pyannote[2606].end |
28772.51346875 |
transcript.pyannote[2607].speaker |
SPEAKER_05 |
transcript.pyannote[2607].start |
28773.23909375 |
transcript.pyannote[2607].end |
28777.99784375 |
transcript.pyannote[2608].speaker |
SPEAKER_00 |
transcript.pyannote[2608].start |
28777.99784375 |
transcript.pyannote[2608].end |
28778.01471875 |
transcript.pyannote[2609].speaker |
SPEAKER_03 |
transcript.pyannote[2609].start |
28779.49971875 |
transcript.pyannote[2609].end |
28809.77346875 |
transcript.pyannote[2610].speaker |
SPEAKER_03 |
transcript.pyannote[2610].start |
28809.94221875 |
transcript.pyannote[2610].end |
28825.38284375 |
transcript.pyannote[2611].speaker |
SPEAKER_05 |
transcript.pyannote[2611].start |
28812.99659375 |
transcript.pyannote[2611].end |
28819.96596875 |
transcript.pyannote[2612].speaker |
SPEAKER_27 |
transcript.pyannote[2612].start |
28819.96596875 |
transcript.pyannote[2612].end |
28820.01659375 |
transcript.pyannote[2613].speaker |
SPEAKER_05 |
transcript.pyannote[2613].start |
28820.01659375 |
transcript.pyannote[2613].end |
28820.97846875 |
transcript.pyannote[2614].speaker |
SPEAKER_27 |
transcript.pyannote[2614].start |
28820.97846875 |
transcript.pyannote[2614].end |
28821.56909375 |
transcript.pyannote[2615].speaker |
SPEAKER_27 |
transcript.pyannote[2615].start |
28822.37909375 |
transcript.pyannote[2615].end |
28827.54284375 |
transcript.pyannote[2616].speaker |
SPEAKER_03 |
transcript.pyannote[2616].start |
28826.19284375 |
transcript.pyannote[2616].end |
28834.25909375 |
transcript.pyannote[2617].speaker |
SPEAKER_03 |
transcript.pyannote[2617].start |
28834.54596875 |
transcript.pyannote[2617].end |
28835.10284375 |
transcript.pyannote[2618].speaker |
SPEAKER_03 |
transcript.pyannote[2618].start |
28835.54159375 |
transcript.pyannote[2618].end |
28842.30846875 |
transcript.pyannote[2619].speaker |
SPEAKER_27 |
transcript.pyannote[2619].start |
28842.05534375 |
transcript.pyannote[2619].end |
28842.19034375 |
transcript.pyannote[2620].speaker |
SPEAKER_27 |
transcript.pyannote[2620].start |
28842.30846875 |
transcript.pyannote[2620].end |
28842.96659375 |
transcript.pyannote[2621].speaker |
SPEAKER_03 |
transcript.pyannote[2621].start |
28842.96659375 |
transcript.pyannote[2621].end |
28861.76534375 |
transcript.pyannote[2622].speaker |
SPEAKER_27 |
transcript.pyannote[2622].start |
28843.15221875 |
transcript.pyannote[2622].end |
28844.65409375 |
transcript.pyannote[2623].speaker |
SPEAKER_27 |
transcript.pyannote[2623].start |
28845.34596875 |
transcript.pyannote[2623].end |
28846.96596875 |
transcript.pyannote[2624].speaker |
SPEAKER_00 |
transcript.pyannote[2624].start |
28846.96596875 |
transcript.pyannote[2624].end |
28847.80971875 |
transcript.pyannote[2625].speaker |
SPEAKER_03 |
transcript.pyannote[2625].start |
28861.83284375 |
transcript.pyannote[2625].end |
28862.33909375 |
transcript.pyannote[2626].speaker |
SPEAKER_03 |
transcript.pyannote[2626].start |
28863.25034375 |
transcript.pyannote[2626].end |
28880.26034375 |
transcript.pyannote[2627].speaker |
SPEAKER_27 |
transcript.pyannote[2627].start |
28874.35409375 |
transcript.pyannote[2627].end |
28878.01596875 |
transcript.pyannote[2628].speaker |
SPEAKER_03 |
transcript.pyannote[2628].start |
28880.54721875 |
transcript.pyannote[2628].end |
28882.26846875 |
transcript.pyannote[2629].speaker |
SPEAKER_03 |
transcript.pyannote[2629].start |
28882.82534375 |
transcript.pyannote[2629].end |
28884.91784375 |
transcript.pyannote[2630].speaker |
SPEAKER_03 |
transcript.pyannote[2630].start |
28885.10346875 |
transcript.pyannote[2630].end |
28890.46971875 |
transcript.pyannote[2631].speaker |
SPEAKER_03 |
transcript.pyannote[2631].start |
28890.65534375 |
transcript.pyannote[2631].end |
28904.05409375 |
transcript.pyannote[2632].speaker |
SPEAKER_27 |
transcript.pyannote[2632].start |
28902.58596875 |
transcript.pyannote[2632].end |
28909.97721875 |
transcript.pyannote[2633].speaker |
SPEAKER_03 |
transcript.pyannote[2633].start |
28909.97721875 |
transcript.pyannote[2633].end |
28912.03596875 |
transcript.pyannote[2634].speaker |
SPEAKER_27 |
transcript.pyannote[2634].start |
28912.03596875 |
transcript.pyannote[2634].end |
28927.54409375 |
transcript.pyannote[2635].speaker |
SPEAKER_03 |
transcript.pyannote[2635].start |
28919.24159375 |
transcript.pyannote[2635].end |
28925.68784375 |
transcript.pyannote[2636].speaker |
SPEAKER_03 |
transcript.pyannote[2636].start |
28925.87346875 |
transcript.pyannote[2636].end |
28955.69159375 |
transcript.pyannote[2637].speaker |
SPEAKER_05 |
transcript.pyannote[2637].start |
28940.50409375 |
transcript.pyannote[2637].end |
28945.43159375 |
transcript.pyannote[2638].speaker |
SPEAKER_27 |
transcript.pyannote[2638].start |
28955.69159375 |
transcript.pyannote[2638].end |
28963.13346875 |
transcript.pyannote[2639].speaker |
SPEAKER_03 |
transcript.pyannote[2639].start |
28955.77596875 |
transcript.pyannote[2639].end |
28956.06284375 |
transcript.pyannote[2640].speaker |
SPEAKER_03 |
transcript.pyannote[2640].start |
28956.87284375 |
transcript.pyannote[2640].end |
28991.87159375 |
transcript.pyannote[2641].speaker |
SPEAKER_03 |
transcript.pyannote[2641].start |
28992.31034375 |
transcript.pyannote[2641].end |
29007.86909375 |
transcript.pyannote[2642].speaker |
SPEAKER_25 |
transcript.pyannote[2642].start |
28996.25909375 |
transcript.pyannote[2642].end |
28997.37284375 |
transcript.pyannote[2643].speaker |
SPEAKER_17 |
transcript.pyannote[2643].start |
29004.74721875 |
transcript.pyannote[2643].end |
29005.06784375 |
transcript.pyannote[2644].speaker |
SPEAKER_17 |
transcript.pyannote[2644].start |
29007.19409375 |
transcript.pyannote[2644].end |
29029.95846875 |
transcript.pyannote[2645].speaker |
SPEAKER_03 |
transcript.pyannote[2645].start |
29018.88846875 |
transcript.pyannote[2645].end |
29019.61409375 |
transcript.pyannote[2646].speaker |
SPEAKER_00 |
transcript.pyannote[2646].start |
29019.61409375 |
transcript.pyannote[2646].end |
29019.68159375 |
transcript.pyannote[2647].speaker |
SPEAKER_00 |
transcript.pyannote[2647].start |
29020.23846875 |
transcript.pyannote[2647].end |
29020.89659375 |
transcript.pyannote[2648].speaker |
SPEAKER_00 |
transcript.pyannote[2648].start |
29021.82471875 |
transcript.pyannote[2648].end |
29021.97659375 |
transcript.pyannote[2649].speaker |
SPEAKER_03 |
transcript.pyannote[2649].start |
29028.38909375 |
transcript.pyannote[2649].end |
29044.48784375 |
transcript.pyannote[2650].speaker |
SPEAKER_05 |
transcript.pyannote[2650].start |
29043.13784375 |
transcript.pyannote[2650].end |
29046.10784375 |
transcript.pyannote[2651].speaker |
SPEAKER_03 |
transcript.pyannote[2651].start |
29045.16284375 |
transcript.pyannote[2651].end |
29047.66034375 |
transcript.pyannote[2652].speaker |
SPEAKER_03 |
transcript.pyannote[2652].start |
29048.06534375 |
transcript.pyannote[2652].end |
29051.03534375 |
transcript.pyannote[2653].speaker |
SPEAKER_03 |
transcript.pyannote[2653].start |
29051.54159375 |
transcript.pyannote[2653].end |
29093.40846875 |
transcript.pyannote[2654].speaker |
SPEAKER_05 |
transcript.pyannote[2654].start |
29062.76346875 |
transcript.pyannote[2654].end |
29070.91409375 |
transcript.pyannote[2655].speaker |
SPEAKER_05 |
transcript.pyannote[2655].start |
29074.42409375 |
transcript.pyannote[2655].end |
29079.95909375 |
transcript.pyannote[2656].speaker |
SPEAKER_03 |
transcript.pyannote[2656].start |
29093.83034375 |
transcript.pyannote[2656].end |
29096.22659375 |
transcript.pyannote[2657].speaker |
SPEAKER_03 |
transcript.pyannote[2657].start |
29097.91409375 |
transcript.pyannote[2657].end |
29117.28659375 |
transcript.pyannote[2658].speaker |
SPEAKER_03 |
transcript.pyannote[2658].start |
29117.60721875 |
transcript.pyannote[2658].end |
29126.09534375 |
transcript.pyannote[2659].speaker |
SPEAKER_03 |
transcript.pyannote[2659].start |
29126.80409375 |
transcript.pyannote[2659].end |
29132.40659375 |
transcript.pyannote[2660].speaker |
SPEAKER_05 |
transcript.pyannote[2660].start |
29130.01034375 |
transcript.pyannote[2660].end |
29134.39784375 |
transcript.pyannote[2661].speaker |
SPEAKER_03 |
transcript.pyannote[2661].start |
29132.99721875 |
transcript.pyannote[2661].end |
29144.80971875 |
transcript.pyannote[2662].speaker |
SPEAKER_05 |
transcript.pyannote[2662].start |
29134.68471875 |
transcript.pyannote[2662].end |
29136.79409375 |
transcript.pyannote[2663].speaker |
SPEAKER_03 |
transcript.pyannote[2663].start |
29145.21471875 |
transcript.pyannote[2663].end |
29146.90221875 |
transcript.pyannote[2664].speaker |
SPEAKER_03 |
transcript.pyannote[2664].start |
29147.34096875 |
transcript.pyannote[2664].end |
29152.80846875 |
transcript.pyannote[2665].speaker |
SPEAKER_03 |
transcript.pyannote[2665].start |
29153.50034375 |
transcript.pyannote[2665].end |
29159.98034375 |
transcript.pyannote[2666].speaker |
SPEAKER_03 |
transcript.pyannote[2666].start |
29160.25034375 |
transcript.pyannote[2666].end |
29165.17784375 |
transcript.pyannote[2667].speaker |
SPEAKER_03 |
transcript.pyannote[2667].start |
29165.59971875 |
transcript.pyannote[2667].end |
29167.79346875 |
transcript.pyannote[2668].speaker |
SPEAKER_03 |
transcript.pyannote[2668].start |
29168.29971875 |
transcript.pyannote[2668].end |
29168.95784375 |
transcript.pyannote[2669].speaker |
SPEAKER_03 |
transcript.pyannote[2669].start |
29169.19409375 |
transcript.pyannote[2669].end |
29170.51034375 |
transcript.pyannote[2670].speaker |
SPEAKER_03 |
transcript.pyannote[2670].start |
29170.84784375 |
transcript.pyannote[2670].end |
29171.96159375 |
transcript.pyannote[2671].speaker |
SPEAKER_03 |
transcript.pyannote[2671].start |
29172.31596875 |
transcript.pyannote[2671].end |
29172.63659375 |
transcript.pyannote[2672].speaker |
SPEAKER_03 |
transcript.pyannote[2672].start |
29172.92346875 |
transcript.pyannote[2672].end |
29176.68659375 |
transcript.pyannote[2673].speaker |
SPEAKER_03 |
transcript.pyannote[2673].start |
29176.97346875 |
transcript.pyannote[2673].end |
29178.32346875 |
transcript.pyannote[2674].speaker |
SPEAKER_03 |
transcript.pyannote[2674].start |
29178.59346875 |
transcript.pyannote[2674].end |
29178.89721875 |
transcript.pyannote[2675].speaker |
SPEAKER_03 |
transcript.pyannote[2675].start |
29179.15034375 |
transcript.pyannote[2675].end |
29183.70659375 |
transcript.pyannote[2676].speaker |
SPEAKER_03 |
transcript.pyannote[2676].start |
29183.87534375 |
transcript.pyannote[2676].end |
29184.97221875 |
transcript.pyannote[2677].speaker |
SPEAKER_03 |
transcript.pyannote[2677].start |
29185.22534375 |
transcript.pyannote[2677].end |
29186.49096875 |
transcript.pyannote[2678].speaker |
SPEAKER_03 |
transcript.pyannote[2678].start |
29187.08159375 |
transcript.pyannote[2678].end |
29188.90409375 |
transcript.pyannote[2679].speaker |
SPEAKER_03 |
transcript.pyannote[2679].start |
29189.22471875 |
transcript.pyannote[2679].end |
29189.64659375 |
transcript.pyannote[2680].speaker |
SPEAKER_03 |
transcript.pyannote[2680].start |
29190.16971875 |
transcript.pyannote[2680].end |
29191.11471875 |
transcript.pyannote[2681].speaker |
SPEAKER_03 |
transcript.pyannote[2681].start |
29191.48596875 |
transcript.pyannote[2681].end |
29213.05221875 |
transcript.pyannote[2682].speaker |
SPEAKER_05 |
transcript.pyannote[2682].start |
29193.86534375 |
transcript.pyannote[2682].end |
29210.03159375 |
transcript.pyannote[2683].speaker |
SPEAKER_03 |
transcript.pyannote[2683].start |
29213.23784375 |
transcript.pyannote[2683].end |
29215.29659375 |
transcript.pyannote[2684].speaker |
SPEAKER_03 |
transcript.pyannote[2684].start |
29215.76909375 |
transcript.pyannote[2684].end |
29220.40971875 |
transcript.pyannote[2685].speaker |
SPEAKER_03 |
transcript.pyannote[2685].start |
29220.76409375 |
transcript.pyannote[2685].end |
29221.42221875 |
transcript.pyannote[2686].speaker |
SPEAKER_03 |
transcript.pyannote[2686].start |
29221.91159375 |
transcript.pyannote[2686].end |
29222.36721875 |
transcript.pyannote[2687].speaker |
SPEAKER_03 |
transcript.pyannote[2687].start |
29223.34596875 |
transcript.pyannote[2687].end |
29228.83034375 |
transcript.pyannote[2688].speaker |
SPEAKER_03 |
transcript.pyannote[2688].start |
29229.08346875 |
transcript.pyannote[2688].end |
29231.98596875 |
transcript.pyannote[2689].speaker |
SPEAKER_03 |
transcript.pyannote[2689].start |
29232.15471875 |
transcript.pyannote[2689].end |
29236.00221875 |
transcript.pyannote[2690].speaker |
SPEAKER_03 |
transcript.pyannote[2690].start |
29236.32284375 |
transcript.pyannote[2690].end |
29241.65534375 |
transcript.pyannote[2691].speaker |
SPEAKER_03 |
transcript.pyannote[2691].start |
29242.12784375 |
transcript.pyannote[2691].end |
29245.11471875 |
transcript.pyannote[2692].speaker |
SPEAKER_03 |
transcript.pyannote[2692].start |
29245.58721875 |
transcript.pyannote[2692].end |
29246.73471875 |
transcript.pyannote[2693].speaker |
SPEAKER_03 |
transcript.pyannote[2693].start |
29246.95409375 |
transcript.pyannote[2693].end |
29248.69221875 |
transcript.pyannote[2694].speaker |
SPEAKER_03 |
transcript.pyannote[2694].start |
29249.06346875 |
transcript.pyannote[2694].end |
29249.31659375 |
transcript.pyannote[2695].speaker |
SPEAKER_03 |
transcript.pyannote[2695].start |
29249.72159375 |
transcript.pyannote[2695].end |
29253.31596875 |
transcript.pyannote[2696].speaker |
SPEAKER_03 |
transcript.pyannote[2696].start |
29253.82221875 |
transcript.pyannote[2696].end |
29254.51409375 |
transcript.pyannote[2697].speaker |
SPEAKER_03 |
transcript.pyannote[2697].start |
29254.88534375 |
transcript.pyannote[2697].end |
29257.16346875 |
transcript.pyannote[2698].speaker |
SPEAKER_03 |
transcript.pyannote[2698].start |
29257.43346875 |
transcript.pyannote[2698].end |
29258.05784375 |
transcript.pyannote[2699].speaker |
SPEAKER_03 |
transcript.pyannote[2699].start |
29258.78346875 |
transcript.pyannote[2699].end |
29269.07721875 |
transcript.pyannote[2700].speaker |
SPEAKER_03 |
transcript.pyannote[2700].start |
29269.39784375 |
transcript.pyannote[2700].end |
29269.76909375 |
transcript.pyannote[2701].speaker |
SPEAKER_03 |
transcript.pyannote[2701].start |
29270.61284375 |
transcript.pyannote[2701].end |
29270.98409375 |
transcript.pyannote[2702].speaker |
SPEAKER_03 |
transcript.pyannote[2702].start |
29271.96284375 |
transcript.pyannote[2702].end |
29272.58721875 |
transcript.pyannote[2703].speaker |
SPEAKER_03 |
transcript.pyannote[2703].start |
29273.32971875 |
transcript.pyannote[2703].end |
29274.51096875 |
transcript.pyannote[2704].speaker |
SPEAKER_03 |
transcript.pyannote[2704].start |
29275.20284375 |
transcript.pyannote[2704].end |
29277.16034375 |
transcript.pyannote[2705].speaker |
SPEAKER_03 |
transcript.pyannote[2705].start |
29277.41346875 |
transcript.pyannote[2705].end |
29278.03784375 |
transcript.pyannote[2706].speaker |
SPEAKER_03 |
transcript.pyannote[2706].start |
29278.32471875 |
transcript.pyannote[2706].end |
29279.70846875 |
transcript.pyannote[2707].speaker |
SPEAKER_28 |
transcript.pyannote[2707].start |
29284.01159375 |
transcript.pyannote[2707].end |
29289.81659375 |
transcript.pyannote[2708].speaker |
SPEAKER_28 |
transcript.pyannote[2708].start |
29290.15409375 |
transcript.pyannote[2708].end |
29294.82846875 |
transcript.pyannote[2709].speaker |
SPEAKER_28 |
transcript.pyannote[2709].start |
29647.24596875 |
transcript.pyannote[2709].end |
29650.75596875 |
transcript.pyannote[2710].speaker |
SPEAKER_20 |
transcript.pyannote[2710].start |
29659.85159375 |
transcript.pyannote[2710].end |
29665.13346875 |
transcript.pyannote[2711].speaker |
SPEAKER_20 |
transcript.pyannote[2711].start |
29665.55534375 |
transcript.pyannote[2711].end |
29668.17096875 |
transcript.pyannote[2712].speaker |
SPEAKER_00 |
transcript.pyannote[2712].start |
29667.66471875 |
transcript.pyannote[2712].end |
29667.90096875 |
transcript.pyannote[2713].speaker |
SPEAKER_20 |
transcript.pyannote[2713].start |
29668.44096875 |
transcript.pyannote[2713].end |
29673.99284375 |
transcript.pyannote[2714].speaker |
SPEAKER_20 |
transcript.pyannote[2714].start |
29674.63409375 |
transcript.pyannote[2714].end |
29688.03284375 |
transcript.pyannote[2715].speaker |
SPEAKER_28 |
transcript.pyannote[2715].start |
29688.03284375 |
transcript.pyannote[2715].end |
29690.80034375 |
transcript.pyannote[2716].speaker |
SPEAKER_28 |
transcript.pyannote[2716].start |
29690.96909375 |
transcript.pyannote[2716].end |
29692.18409375 |
transcript.pyannote[2717].speaker |
SPEAKER_28 |
transcript.pyannote[2717].start |
29692.69034375 |
transcript.pyannote[2717].end |
29693.38221875 |
transcript.pyannote[2718].speaker |
SPEAKER_20 |
transcript.pyannote[2718].start |
29692.75784375 |
transcript.pyannote[2718].end |
29693.43284375 |
transcript.pyannote[2719].speaker |
SPEAKER_28 |
transcript.pyannote[2719].start |
29693.43284375 |
transcript.pyannote[2719].end |
29693.58471875 |
transcript.pyannote[2720].speaker |
SPEAKER_20 |
transcript.pyannote[2720].start |
29694.52971875 |
transcript.pyannote[2720].end |
29696.89221875 |
transcript.pyannote[2721].speaker |
SPEAKER_28 |
transcript.pyannote[2721].start |
29701.85346875 |
transcript.pyannote[2721].end |
29702.88284375 |
transcript.pyannote[2722].speaker |
SPEAKER_20 |
transcript.pyannote[2722].start |
29702.02221875 |
transcript.pyannote[2722].end |
29702.96721875 |
transcript.pyannote[2723].speaker |
SPEAKER_28 |
transcript.pyannote[2723].start |
29702.96721875 |
transcript.pyannote[2723].end |
29707.69221875 |
transcript.pyannote[2724].speaker |
SPEAKER_20 |
transcript.pyannote[2724].start |
29704.11471875 |
transcript.pyannote[2724].end |
29704.89096875 |
transcript.pyannote[2725].speaker |
SPEAKER_28 |
transcript.pyannote[2725].start |
29708.83971875 |
transcript.pyannote[2725].end |
29711.70846875 |
transcript.pyannote[2726].speaker |
SPEAKER_31 |
transcript.pyannote[2726].start |
29712.51846875 |
transcript.pyannote[2726].end |
29713.05846875 |
transcript.pyannote[2727].speaker |
SPEAKER_28 |
transcript.pyannote[2727].start |
29713.05846875 |
transcript.pyannote[2727].end |
29713.07534375 |
transcript.pyannote[2728].speaker |
SPEAKER_31 |
transcript.pyannote[2728].start |
29713.07534375 |
transcript.pyannote[2728].end |
29713.19346875 |
transcript.pyannote[2729].speaker |
SPEAKER_28 |
transcript.pyannote[2729].start |
29713.69971875 |
transcript.pyannote[2729].end |
29714.23971875 |
transcript.pyannote[2730].speaker |
SPEAKER_20 |
transcript.pyannote[2730].start |
29716.61909375 |
transcript.pyannote[2730].end |
29721.90096875 |
transcript.pyannote[2731].speaker |
SPEAKER_05 |
transcript.pyannote[2731].start |
29718.28971875 |
transcript.pyannote[2731].end |
29718.30659375 |
transcript.pyannote[2732].speaker |
SPEAKER_28 |
transcript.pyannote[2732].start |
29718.30659375 |
transcript.pyannote[2732].end |
29718.96471875 |
transcript.pyannote[2733].speaker |
SPEAKER_05 |
transcript.pyannote[2733].start |
29718.96471875 |
transcript.pyannote[2733].end |
29719.06596875 |
transcript.pyannote[2734].speaker |
SPEAKER_28 |
transcript.pyannote[2734].start |
29719.06596875 |
transcript.pyannote[2734].end |
29719.75784375 |
transcript.pyannote[2735].speaker |
SPEAKER_28 |
transcript.pyannote[2735].start |
29720.02784375 |
transcript.pyannote[2735].end |
29720.07846875 |
transcript.pyannote[2736].speaker |
SPEAKER_05 |
transcript.pyannote[2736].start |
29720.07846875 |
transcript.pyannote[2736].end |
29720.38221875 |
transcript.pyannote[2737].speaker |
SPEAKER_20 |
transcript.pyannote[2737].start |
29722.17096875 |
transcript.pyannote[2737].end |
29723.45346875 |
transcript.pyannote[2738].speaker |
SPEAKER_20 |
transcript.pyannote[2738].start |
29723.85846875 |
transcript.pyannote[2738].end |
29725.74846875 |
transcript.pyannote[2739].speaker |
SPEAKER_20 |
transcript.pyannote[2739].start |
29726.13659375 |
transcript.pyannote[2739].end |
29727.73971875 |
transcript.pyannote[2740].speaker |
SPEAKER_20 |
transcript.pyannote[2740].start |
29728.61721875 |
transcript.pyannote[2740].end |
29729.83221875 |
transcript.pyannote[2741].speaker |
SPEAKER_20 |
transcript.pyannote[2741].start |
29730.25409375 |
transcript.pyannote[2741].end |
29732.14409375 |
transcript.pyannote[2742].speaker |
SPEAKER_20 |
transcript.pyannote[2742].start |
29732.44784375 |
transcript.pyannote[2742].end |
29735.46846875 |
transcript.pyannote[2743].speaker |
SPEAKER_20 |
transcript.pyannote[2743].start |
29735.75534375 |
transcript.pyannote[2743].end |
29736.26159375 |
transcript.pyannote[2744].speaker |
SPEAKER_20 |
transcript.pyannote[2744].start |
29736.81846875 |
transcript.pyannote[2744].end |
29739.02909375 |
transcript.pyannote[2745].speaker |
SPEAKER_20 |
transcript.pyannote[2745].start |
29739.26534375 |
transcript.pyannote[2745].end |
29748.58034375 |
transcript.pyannote[2746].speaker |
SPEAKER_05 |
transcript.pyannote[2746].start |
29745.42471875 |
transcript.pyannote[2746].end |
29745.96471875 |
transcript.pyannote[2747].speaker |
SPEAKER_05 |
transcript.pyannote[2747].start |
29749.82909375 |
transcript.pyannote[2747].end |
29752.51221875 |
transcript.pyannote[2748].speaker |
SPEAKER_05 |
transcript.pyannote[2748].start |
29752.79909375 |
transcript.pyannote[2748].end |
29754.45284375 |
transcript.pyannote[2749].speaker |
SPEAKER_20 |
transcript.pyannote[2749].start |
29754.45284375 |
transcript.pyannote[2749].end |
29754.57096875 |
transcript.pyannote[2750].speaker |
SPEAKER_05 |
transcript.pyannote[2750].start |
29754.57096875 |
transcript.pyannote[2750].end |
29754.58784375 |
transcript.pyannote[2751].speaker |
SPEAKER_20 |
transcript.pyannote[2751].start |
29754.58784375 |
transcript.pyannote[2751].end |
29774.43284375 |
transcript.pyannote[2752].speaker |
SPEAKER_20 |
transcript.pyannote[2752].start |
29774.95596875 |
transcript.pyannote[2752].end |
29778.98909375 |
transcript.pyannote[2753].speaker |
SPEAKER_20 |
transcript.pyannote[2753].start |
29779.25909375 |
transcript.pyannote[2753].end |
29789.33346875 |
transcript.pyannote[2754].speaker |
SPEAKER_20 |
transcript.pyannote[2754].start |
29789.78909375 |
transcript.pyannote[2754].end |
29791.05471875 |
transcript.pyannote[2755].speaker |
SPEAKER_20 |
transcript.pyannote[2755].start |
29791.15596875 |
transcript.pyannote[2755].end |
29796.35346875 |
transcript.pyannote[2756].speaker |
SPEAKER_20 |
transcript.pyannote[2756].start |
29796.58971875 |
transcript.pyannote[2756].end |
29804.55471875 |
transcript.pyannote[2757].speaker |
SPEAKER_20 |
transcript.pyannote[2757].start |
29805.04409375 |
transcript.pyannote[2757].end |
29806.02284375 |
transcript.pyannote[2758].speaker |
SPEAKER_05 |
transcript.pyannote[2758].start |
29806.02284375 |
transcript.pyannote[2758].end |
29806.39409375 |
transcript.pyannote[2759].speaker |
SPEAKER_05 |
transcript.pyannote[2759].start |
29806.76534375 |
transcript.pyannote[2759].end |
29814.17346875 |
transcript.pyannote[2760].speaker |
SPEAKER_20 |
transcript.pyannote[2760].start |
29810.42721875 |
transcript.pyannote[2760].end |
29810.79846875 |
transcript.pyannote[2761].speaker |
SPEAKER_20 |
transcript.pyannote[2761].start |
29812.53659375 |
transcript.pyannote[2761].end |
29818.86471875 |
transcript.pyannote[2762].speaker |
SPEAKER_20 |
transcript.pyannote[2762].start |
29819.42159375 |
transcript.pyannote[2762].end |
29820.07971875 |
transcript.pyannote[2763].speaker |
SPEAKER_20 |
transcript.pyannote[2763].start |
29820.50159375 |
transcript.pyannote[2763].end |
29823.23534375 |
transcript.pyannote[2764].speaker |
SPEAKER_20 |
transcript.pyannote[2764].start |
29823.64034375 |
transcript.pyannote[2764].end |
29829.64784375 |
transcript.pyannote[2765].speaker |
SPEAKER_20 |
transcript.pyannote[2765].start |
29830.13721875 |
transcript.pyannote[2765].end |
29832.98909375 |
transcript.pyannote[2766].speaker |
SPEAKER_20 |
transcript.pyannote[2766].start |
29833.69784375 |
transcript.pyannote[2766].end |
29834.57534375 |
transcript.pyannote[2767].speaker |
SPEAKER_20 |
transcript.pyannote[2767].start |
29834.91284375 |
transcript.pyannote[2767].end |
29837.57909375 |
transcript.pyannote[2768].speaker |
SPEAKER_20 |
transcript.pyannote[2768].start |
29838.06846875 |
transcript.pyannote[2768].end |
29842.43909375 |
transcript.pyannote[2769].speaker |
SPEAKER_20 |
transcript.pyannote[2769].start |
29842.50659375 |
transcript.pyannote[2769].end |
29845.40909375 |
transcript.pyannote[2770].speaker |
SPEAKER_20 |
transcript.pyannote[2770].start |
29846.01659375 |
transcript.pyannote[2770].end |
29863.21221875 |
transcript.pyannote[2771].speaker |
SPEAKER_20 |
transcript.pyannote[2771].start |
29863.76909375 |
transcript.pyannote[2771].end |
29864.59596875 |
transcript.pyannote[2772].speaker |
SPEAKER_20 |
transcript.pyannote[2772].start |
29865.16971875 |
transcript.pyannote[2772].end |
29867.51534375 |
transcript.pyannote[2773].speaker |
SPEAKER_05 |
transcript.pyannote[2773].start |
29865.28784375 |
transcript.pyannote[2773].end |
29865.79409375 |
transcript.pyannote[2774].speaker |
SPEAKER_20 |
transcript.pyannote[2774].start |
29868.71346875 |
transcript.pyannote[2774].end |
29885.58846875 |
transcript.pyannote[2775].speaker |
SPEAKER_20 |
transcript.pyannote[2775].start |
29886.06096875 |
transcript.pyannote[2775].end |
29887.41096875 |
transcript.pyannote[2776].speaker |
SPEAKER_20 |
transcript.pyannote[2776].start |
29888.33909375 |
transcript.pyannote[2776].end |
29888.77784375 |
transcript.pyannote[2777].speaker |
SPEAKER_20 |
transcript.pyannote[2777].start |
29889.31784375 |
transcript.pyannote[2777].end |
29893.13159375 |
transcript.pyannote[2778].speaker |
SPEAKER_20 |
transcript.pyannote[2778].start |
29893.48596875 |
transcript.pyannote[2778].end |
29898.22784375 |
transcript.pyannote[2779].speaker |
SPEAKER_20 |
transcript.pyannote[2779].start |
29898.32909375 |
transcript.pyannote[2779].end |
29906.98596875 |
transcript.pyannote[2780].speaker |
SPEAKER_20 |
transcript.pyannote[2780].start |
29907.69471875 |
transcript.pyannote[2780].end |
29911.23846875 |
transcript.pyannote[2781].speaker |
SPEAKER_20 |
transcript.pyannote[2781].start |
29911.67721875 |
transcript.pyannote[2781].end |
29914.02284375 |
transcript.pyannote[2782].speaker |
SPEAKER_05 |
transcript.pyannote[2782].start |
29914.02284375 |
transcript.pyannote[2782].end |
29914.37721875 |
transcript.pyannote[2783].speaker |
SPEAKER_20 |
transcript.pyannote[2783].start |
29914.78221875 |
transcript.pyannote[2783].end |
29914.81596875 |
transcript.pyannote[2784].speaker |
SPEAKER_05 |
transcript.pyannote[2784].start |
29914.81596875 |
transcript.pyannote[2784].end |
29918.46096875 |
transcript.pyannote[2785].speaker |
SPEAKER_05 |
transcript.pyannote[2785].start |
29918.79846875 |
transcript.pyannote[2785].end |
29922.03846875 |
transcript.pyannote[2786].speaker |
SPEAKER_20 |
transcript.pyannote[2786].start |
29921.11034375 |
transcript.pyannote[2786].end |
29921.59971875 |
transcript.pyannote[2787].speaker |
SPEAKER_05 |
transcript.pyannote[2787].start |
29922.25784375 |
transcript.pyannote[2787].end |
29923.65846875 |
transcript.pyannote[2788].speaker |
SPEAKER_05 |
transcript.pyannote[2788].start |
29925.07596875 |
transcript.pyannote[2788].end |
29928.24846875 |
transcript.pyannote[2789].speaker |
SPEAKER_20 |
transcript.pyannote[2789].start |
29928.24846875 |
transcript.pyannote[2789].end |
29928.28221875 |
transcript.pyannote[2790].speaker |
SPEAKER_05 |
transcript.pyannote[2790].start |
29928.46784375 |
transcript.pyannote[2790].end |
29931.13409375 |
transcript.pyannote[2791].speaker |
SPEAKER_20 |
transcript.pyannote[2791].start |
29928.51846875 |
transcript.pyannote[2791].end |
29928.78846875 |
transcript.pyannote[2792].speaker |
SPEAKER_20 |
transcript.pyannote[2792].start |
29930.89784375 |
transcript.pyannote[2792].end |
29933.78346875 |
transcript.pyannote[2793].speaker |
SPEAKER_20 |
transcript.pyannote[2793].start |
29934.22221875 |
transcript.pyannote[2793].end |
29937.05721875 |
transcript.pyannote[2794].speaker |
SPEAKER_20 |
transcript.pyannote[2794].start |
29937.34409375 |
transcript.pyannote[2794].end |
29938.28909375 |
transcript.pyannote[2795].speaker |
SPEAKER_20 |
transcript.pyannote[2795].start |
29939.25096875 |
transcript.pyannote[2795].end |
29943.82409375 |
transcript.pyannote[2796].speaker |
SPEAKER_20 |
transcript.pyannote[2796].start |
29944.34721875 |
transcript.pyannote[2796].end |
29944.71846875 |
transcript.pyannote[2797].speaker |
SPEAKER_20 |
transcript.pyannote[2797].start |
29945.17409375 |
transcript.pyannote[2797].end |
29948.36346875 |
transcript.pyannote[2798].speaker |
SPEAKER_20 |
transcript.pyannote[2798].start |
29948.65034375 |
transcript.pyannote[2798].end |
29950.06784375 |
transcript.pyannote[2799].speaker |
SPEAKER_20 |
transcript.pyannote[2799].start |
29950.60784375 |
transcript.pyannote[2799].end |
29952.54846875 |
transcript.pyannote[2800].speaker |
SPEAKER_20 |
transcript.pyannote[2800].start |
29953.20659375 |
transcript.pyannote[2800].end |
29955.33284375 |
transcript.pyannote[2801].speaker |
SPEAKER_20 |
transcript.pyannote[2801].start |
29955.61971875 |
transcript.pyannote[2801].end |
29958.65721875 |
transcript.pyannote[2802].speaker |
SPEAKER_20 |
transcript.pyannote[2802].start |
29959.07909375 |
transcript.pyannote[2802].end |
29960.78346875 |
transcript.pyannote[2803].speaker |
SPEAKER_20 |
transcript.pyannote[2803].start |
29961.00284375 |
transcript.pyannote[2803].end |
29961.50909375 |
transcript.pyannote[2804].speaker |
SPEAKER_20 |
transcript.pyannote[2804].start |
29961.82971875 |
transcript.pyannote[2804].end |
29964.64784375 |
transcript.pyannote[2805].speaker |
SPEAKER_20 |
transcript.pyannote[2805].start |
29965.25534375 |
transcript.pyannote[2805].end |
29974.01346875 |
transcript.pyannote[2806].speaker |
SPEAKER_20 |
transcript.pyannote[2806].start |
29974.28346875 |
transcript.pyannote[2806].end |
29980.03784375 |
transcript.pyannote[2807].speaker |
SPEAKER_20 |
transcript.pyannote[2807].start |
29980.62846875 |
transcript.pyannote[2807].end |
29987.36159375 |
transcript.pyannote[2808].speaker |
SPEAKER_03 |
transcript.pyannote[2808].start |
29987.36159375 |
transcript.pyannote[2808].end |
29987.68221875 |
transcript.pyannote[2809].speaker |
SPEAKER_20 |
transcript.pyannote[2809].start |
29987.68221875 |
transcript.pyannote[2809].end |
29988.50909375 |
transcript.pyannote[2810].speaker |
SPEAKER_20 |
transcript.pyannote[2810].start |
29989.01534375 |
transcript.pyannote[2810].end |
29993.03159375 |
transcript.pyannote[2811].speaker |
SPEAKER_20 |
transcript.pyannote[2811].start |
29993.47034375 |
transcript.pyannote[2811].end |
29999.25846875 |
transcript.pyannote[2812].speaker |
SPEAKER_20 |
transcript.pyannote[2812].start |
29999.61284375 |
transcript.pyannote[2812].end |
30002.44784375 |
transcript.pyannote[2813].speaker |
SPEAKER_20 |
transcript.pyannote[2813].start |
30002.61659375 |
transcript.pyannote[2813].end |
30003.52784375 |
transcript.pyannote[2814].speaker |
SPEAKER_20 |
transcript.pyannote[2814].start |
30003.57846875 |
transcript.pyannote[2814].end |
30006.27846875 |
transcript.pyannote[2815].speaker |
SPEAKER_20 |
transcript.pyannote[2815].start |
30006.56534375 |
transcript.pyannote[2815].end |
30008.47221875 |
transcript.pyannote[2816].speaker |
SPEAKER_20 |
transcript.pyannote[2816].start |
30008.69159375 |
transcript.pyannote[2816].end |
30009.95721875 |
transcript.pyannote[2817].speaker |
SPEAKER_20 |
transcript.pyannote[2817].start |
30010.15971875 |
transcript.pyannote[2817].end |
30011.49284375 |
transcript.pyannote[2818].speaker |
SPEAKER_20 |
transcript.pyannote[2818].start |
30012.04971875 |
transcript.pyannote[2818].end |
30012.42096875 |
transcript.pyannote[2819].speaker |
SPEAKER_05 |
transcript.pyannote[2819].start |
30012.91034375 |
transcript.pyannote[2819].end |
30014.00721875 |
transcript.pyannote[2820].speaker |
SPEAKER_05 |
transcript.pyannote[2820].start |
30014.42909375 |
transcript.pyannote[2820].end |
30015.50909375 |
transcript.pyannote[2821].speaker |
SPEAKER_20 |
transcript.pyannote[2821].start |
30014.44596875 |
transcript.pyannote[2821].end |
30015.13784375 |
transcript.pyannote[2822].speaker |
SPEAKER_20 |
transcript.pyannote[2822].start |
30015.64409375 |
transcript.pyannote[2822].end |
30018.49596875 |
transcript.pyannote[2823].speaker |
SPEAKER_20 |
transcript.pyannote[2823].start |
30018.76596875 |
transcript.pyannote[2823].end |
30023.35596875 |
transcript.pyannote[2824].speaker |
SPEAKER_20 |
transcript.pyannote[2824].start |
30023.57534375 |
transcript.pyannote[2824].end |
30028.58721875 |
transcript.pyannote[2825].speaker |
SPEAKER_20 |
transcript.pyannote[2825].start |
30029.02596875 |
transcript.pyannote[2825].end |
30032.08034375 |
transcript.pyannote[2826].speaker |
SPEAKER_20 |
transcript.pyannote[2826].start |
30032.55284375 |
transcript.pyannote[2826].end |
30035.06721875 |
transcript.pyannote[2827].speaker |
SPEAKER_20 |
transcript.pyannote[2827].start |
30035.30346875 |
transcript.pyannote[2827].end |
30038.15534375 |
transcript.pyannote[2828].speaker |
SPEAKER_05 |
transcript.pyannote[2828].start |
30038.99909375 |
transcript.pyannote[2828].end |
30040.77096875 |
transcript.pyannote[2829].speaker |
SPEAKER_05 |
transcript.pyannote[2829].start |
30040.93971875 |
transcript.pyannote[2829].end |
30044.66909375 |
transcript.pyannote[2830].speaker |
SPEAKER_25 |
transcript.pyannote[2830].start |
30044.11221875 |
transcript.pyannote[2830].end |
30044.39909375 |
transcript.pyannote[2831].speaker |
SPEAKER_20 |
transcript.pyannote[2831].start |
30044.39909375 |
transcript.pyannote[2831].end |
30044.51721875 |
transcript.pyannote[2832].speaker |
SPEAKER_25 |
transcript.pyannote[2832].start |
30044.66909375 |
transcript.pyannote[2832].end |
30044.71971875 |
transcript.pyannote[2833].speaker |
SPEAKER_05 |
transcript.pyannote[2833].start |
30045.15846875 |
transcript.pyannote[2833].end |
30045.96846875 |
transcript.pyannote[2834].speaker |
SPEAKER_20 |
transcript.pyannote[2834].start |
30045.96846875 |
transcript.pyannote[2834].end |
30051.03096875 |
transcript.pyannote[2835].speaker |
SPEAKER_20 |
transcript.pyannote[2835].start |
30051.19971875 |
transcript.pyannote[2835].end |
30057.73034375 |
transcript.pyannote[2836].speaker |
SPEAKER_20 |
transcript.pyannote[2836].start |
30058.47284375 |
transcript.pyannote[2836].end |
30059.40096875 |
transcript.pyannote[2837].speaker |
SPEAKER_05 |
transcript.pyannote[2837].start |
30059.40096875 |
transcript.pyannote[2837].end |
30059.63721875 |
transcript.pyannote[2838].speaker |
SPEAKER_20 |
transcript.pyannote[2838].start |
30059.63721875 |
transcript.pyannote[2838].end |
30064.96971875 |
transcript.pyannote[2839].speaker |
SPEAKER_04 |
transcript.pyannote[2839].start |
30064.96971875 |
transcript.pyannote[2839].end |
30065.03721875 |
transcript.pyannote[2840].speaker |
SPEAKER_05 |
transcript.pyannote[2840].start |
30065.03721875 |
transcript.pyannote[2840].end |
30066.87659375 |
transcript.pyannote[2841].speaker |
SPEAKER_20 |
transcript.pyannote[2841].start |
30065.64471875 |
transcript.pyannote[2841].end |
30071.23034375 |
transcript.pyannote[2842].speaker |
SPEAKER_04 |
transcript.pyannote[2842].start |
30066.87659375 |
transcript.pyannote[2842].end |
30066.91034375 |
transcript.pyannote[2843].speaker |
SPEAKER_20 |
transcript.pyannote[2843].start |
30071.29784375 |
transcript.pyannote[2843].end |
30080.02221875 |
transcript.pyannote[2844].speaker |
SPEAKER_20 |
transcript.pyannote[2844].start |
30081.20346875 |
transcript.pyannote[2844].end |
30081.22034375 |
transcript.pyannote[2845].speaker |
SPEAKER_05 |
transcript.pyannote[2845].start |
30081.22034375 |
transcript.pyannote[2845].end |
30081.94596875 |
transcript.pyannote[2846].speaker |
SPEAKER_20 |
transcript.pyannote[2846].start |
30081.94596875 |
transcript.pyannote[2846].end |
30083.97096875 |
transcript.pyannote[2847].speaker |
SPEAKER_20 |
transcript.pyannote[2847].start |
30084.51096875 |
transcript.pyannote[2847].end |
30091.07534375 |
transcript.pyannote[2848].speaker |
SPEAKER_20 |
transcript.pyannote[2848].start |
30091.75034375 |
transcript.pyannote[2848].end |
30093.79221875 |
transcript.pyannote[2849].speaker |
SPEAKER_20 |
transcript.pyannote[2849].start |
30094.24784375 |
transcript.pyannote[2849].end |
30095.56409375 |
transcript.pyannote[2850].speaker |
SPEAKER_20 |
transcript.pyannote[2850].start |
30096.20534375 |
transcript.pyannote[2850].end |
30096.93096875 |
transcript.pyannote[2851].speaker |
SPEAKER_20 |
transcript.pyannote[2851].start |
30096.99846875 |
transcript.pyannote[2851].end |
30099.34409375 |
transcript.pyannote[2852].speaker |
SPEAKER_20 |
transcript.pyannote[2852].start |
30099.58034375 |
transcript.pyannote[2852].end |
30100.93034375 |
transcript.pyannote[2853].speaker |
SPEAKER_20 |
transcript.pyannote[2853].start |
30102.83721875 |
transcript.pyannote[2853].end |
30103.22534375 |
transcript.pyannote[2854].speaker |
SPEAKER_20 |
transcript.pyannote[2854].start |
30103.98471875 |
transcript.pyannote[2854].end |
30105.73971875 |
transcript.pyannote[2855].speaker |
SPEAKER_20 |
transcript.pyannote[2855].start |
30106.33034375 |
transcript.pyannote[2855].end |
30106.95471875 |
transcript.pyannote[2856].speaker |
SPEAKER_20 |
transcript.pyannote[2856].start |
30107.20784375 |
transcript.pyannote[2856].end |
30108.43971875 |
transcript.pyannote[2857].speaker |
SPEAKER_20 |
transcript.pyannote[2857].start |
30108.72659375 |
transcript.pyannote[2857].end |
30110.41409375 |
transcript.pyannote[2858].speaker |
SPEAKER_20 |
transcript.pyannote[2858].start |
30110.46471875 |
transcript.pyannote[2858].end |
30112.43909375 |
transcript.pyannote[2859].speaker |
SPEAKER_20 |
transcript.pyannote[2859].start |
30113.06346875 |
transcript.pyannote[2859].end |
30113.55284375 |
transcript.pyannote[2860].speaker |
SPEAKER_20 |
transcript.pyannote[2860].start |
30113.94096875 |
transcript.pyannote[2860].end |
30117.31596875 |
transcript.pyannote[2861].speaker |
SPEAKER_20 |
transcript.pyannote[2861].start |
30119.69534375 |
transcript.pyannote[2861].end |
30121.09596875 |
transcript.pyannote[2862].speaker |
SPEAKER_20 |
transcript.pyannote[2862].start |
30121.31534375 |
transcript.pyannote[2862].end |
30124.35284375 |
transcript.pyannote[2863].speaker |
SPEAKER_18 |
transcript.pyannote[2863].start |
30121.58534375 |
transcript.pyannote[2863].end |
30122.10846875 |
transcript.pyannote[2864].speaker |
SPEAKER_20 |
transcript.pyannote[2864].start |
30124.82534375 |
transcript.pyannote[2864].end |
30128.75721875 |
transcript.pyannote[2865].speaker |
SPEAKER_20 |
transcript.pyannote[2865].start |
30129.11159375 |
transcript.pyannote[2865].end |
30135.30471875 |
transcript.pyannote[2866].speaker |
SPEAKER_20 |
transcript.pyannote[2866].start |
30135.69284375 |
transcript.pyannote[2866].end |
30137.92034375 |
transcript.pyannote[2867].speaker |
SPEAKER_20 |
transcript.pyannote[2867].start |
30138.34221875 |
transcript.pyannote[2867].end |
30142.29096875 |
transcript.pyannote[2868].speaker |
SPEAKER_20 |
transcript.pyannote[2868].start |
30142.62846875 |
transcript.pyannote[2868].end |
30145.56471875 |
transcript.pyannote[2869].speaker |
SPEAKER_05 |
transcript.pyannote[2869].start |
30145.56471875 |
transcript.pyannote[2869].end |
30145.58159375 |
transcript.pyannote[2870].speaker |
SPEAKER_20 |
transcript.pyannote[2870].start |
30146.07096875 |
transcript.pyannote[2870].end |
30146.98221875 |
transcript.pyannote[2871].speaker |
SPEAKER_05 |
transcript.pyannote[2871].start |
30146.98221875 |
transcript.pyannote[2871].end |
30147.01596875 |
transcript.pyannote[2872].speaker |
SPEAKER_05 |
transcript.pyannote[2872].start |
30147.99471875 |
transcript.pyannote[2872].end |
30149.09159375 |
transcript.pyannote[2873].speaker |
SPEAKER_05 |
transcript.pyannote[2873].start |
30149.61471875 |
transcript.pyannote[2873].end |
30151.21784375 |
transcript.pyannote[2874].speaker |
SPEAKER_05 |
transcript.pyannote[2874].start |
30151.23471875 |
transcript.pyannote[2874].end |
30154.23846875 |
transcript.pyannote[2875].speaker |
SPEAKER_20 |
transcript.pyannote[2875].start |
30153.24284375 |
transcript.pyannote[2875].end |
30153.59721875 |
transcript.pyannote[2876].speaker |
SPEAKER_25 |
transcript.pyannote[2876].start |
30153.59721875 |
transcript.pyannote[2876].end |
30153.90096875 |
transcript.pyannote[2877].speaker |
SPEAKER_20 |
transcript.pyannote[2877].start |
30153.90096875 |
transcript.pyannote[2877].end |
30153.96846875 |
transcript.pyannote[2878].speaker |
SPEAKER_20 |
transcript.pyannote[2878].start |
30154.23846875 |
transcript.pyannote[2878].end |
30154.27221875 |
transcript.pyannote[2879].speaker |
SPEAKER_05 |
transcript.pyannote[2879].start |
30154.89659375 |
transcript.pyannote[2879].end |
30154.96409375 |
transcript.pyannote[2880].speaker |
SPEAKER_20 |
transcript.pyannote[2880].start |
30154.96409375 |
transcript.pyannote[2880].end |
30156.19596875 |
transcript.pyannote[2881].speaker |
SPEAKER_20 |
transcript.pyannote[2881].start |
30156.83721875 |
transcript.pyannote[2881].end |
30159.79034375 |
transcript.pyannote[2882].speaker |
SPEAKER_20 |
transcript.pyannote[2882].start |
30160.34721875 |
transcript.pyannote[2882].end |
30162.23721875 |
transcript.pyannote[2883].speaker |
SPEAKER_20 |
transcript.pyannote[2883].start |
30162.59159375 |
transcript.pyannote[2883].end |
30166.23659375 |
transcript.pyannote[2884].speaker |
SPEAKER_20 |
transcript.pyannote[2884].start |
30166.69221875 |
transcript.pyannote[2884].end |
30167.92409375 |
transcript.pyannote[2885].speaker |
SPEAKER_20 |
transcript.pyannote[2885].start |
30168.09284375 |
transcript.pyannote[2885].end |
30170.67471875 |
transcript.pyannote[2886].speaker |
SPEAKER_20 |
transcript.pyannote[2886].start |
30170.74221875 |
transcript.pyannote[2886].end |
30170.75909375 |
transcript.pyannote[2887].speaker |
SPEAKER_20 |
transcript.pyannote[2887].start |
30170.82659375 |
transcript.pyannote[2887].end |
30172.09221875 |
transcript.pyannote[2888].speaker |
SPEAKER_20 |
transcript.pyannote[2888].start |
30172.36221875 |
transcript.pyannote[2888].end |
30173.22284375 |
transcript.pyannote[2889].speaker |
SPEAKER_05 |
transcript.pyannote[2889].start |
30174.33659375 |
transcript.pyannote[2889].end |
30178.36971875 |
transcript.pyannote[2890].speaker |
SPEAKER_20 |
transcript.pyannote[2890].start |
30179.66909375 |
transcript.pyannote[2890].end |
30181.08659375 |
transcript.pyannote[2891].speaker |
SPEAKER_05 |
transcript.pyannote[2891].start |
30181.33971875 |
transcript.pyannote[2891].end |
30184.29284375 |
transcript.pyannote[2892].speaker |
SPEAKER_20 |
transcript.pyannote[2892].start |
30183.55034375 |
transcript.pyannote[2892].end |
30184.93409375 |
transcript.pyannote[2893].speaker |
SPEAKER_05 |
transcript.pyannote[2893].start |
30184.93409375 |
transcript.pyannote[2893].end |
30185.08596875 |
transcript.pyannote[2894].speaker |
SPEAKER_20 |
transcript.pyannote[2894].start |
30185.08596875 |
transcript.pyannote[2894].end |
30185.10284375 |
transcript.pyannote[2895].speaker |
SPEAKER_05 |
transcript.pyannote[2895].start |
30185.52471875 |
transcript.pyannote[2895].end |
30185.54159375 |
transcript.pyannote[2896].speaker |
SPEAKER_20 |
transcript.pyannote[2896].start |
30185.54159375 |
transcript.pyannote[2896].end |
30185.55846875 |
transcript.pyannote[2897].speaker |
SPEAKER_05 |
transcript.pyannote[2897].start |
30185.55846875 |
transcript.pyannote[2897].end |
30186.35159375 |
transcript.pyannote[2898].speaker |
SPEAKER_17 |
transcript.pyannote[2898].start |
30186.35159375 |
transcript.pyannote[2898].end |
30186.38534375 |
transcript.pyannote[2899].speaker |
SPEAKER_17 |
transcript.pyannote[2899].start |
30188.03909375 |
transcript.pyannote[2899].end |
30189.30471875 |
transcript.pyannote[2900].speaker |
SPEAKER_17 |
transcript.pyannote[2900].start |
30189.43971875 |
transcript.pyannote[2900].end |
30192.05534375 |
transcript.pyannote[2901].speaker |
SPEAKER_17 |
transcript.pyannote[2901].start |
30192.25784375 |
transcript.pyannote[2901].end |
30203.42909375 |
transcript.pyannote[2902].speaker |
SPEAKER_20 |
transcript.pyannote[2902].start |
30200.76284375 |
transcript.pyannote[2902].end |
30201.52221875 |
transcript.pyannote[2903].speaker |
SPEAKER_17 |
transcript.pyannote[2903].start |
30203.76659375 |
transcript.pyannote[2903].end |
30206.12909375 |
transcript.pyannote[2904].speaker |
SPEAKER_20 |
transcript.pyannote[2904].start |
30204.10409375 |
transcript.pyannote[2904].end |
30207.02346875 |
transcript.pyannote[2905].speaker |
SPEAKER_20 |
transcript.pyannote[2905].start |
30207.14159375 |
transcript.pyannote[2905].end |
30212.72721875 |
transcript.pyannote[2906].speaker |
SPEAKER_20 |
transcript.pyannote[2906].start |
30213.75659375 |
transcript.pyannote[2906].end |
30214.44846875 |
transcript.pyannote[2907].speaker |
SPEAKER_20 |
transcript.pyannote[2907].start |
30214.98846875 |
transcript.pyannote[2907].end |
30215.64659375 |
transcript.pyannote[2908].speaker |
SPEAKER_20 |
transcript.pyannote[2908].start |
30216.18659375 |
transcript.pyannote[2908].end |
30217.65471875 |
transcript.pyannote[2909].speaker |
SPEAKER_20 |
transcript.pyannote[2909].start |
30218.29596875 |
transcript.pyannote[2909].end |
30222.16034375 |
transcript.pyannote[2910].speaker |
SPEAKER_20 |
transcript.pyannote[2910].start |
30222.19409375 |
transcript.pyannote[2910].end |
30237.92159375 |
transcript.pyannote[2911].speaker |
SPEAKER_20 |
transcript.pyannote[2911].start |
30237.95534375 |
transcript.pyannote[2911].end |
30243.13596875 |
transcript.pyannote[2912].speaker |
SPEAKER_05 |
transcript.pyannote[2912].start |
30243.55784375 |
transcript.pyannote[2912].end |
30255.43784375 |
transcript.pyannote[2913].speaker |
SPEAKER_20 |
transcript.pyannote[2913].start |
30247.86096875 |
transcript.pyannote[2913].end |
30248.94096875 |
transcript.pyannote[2914].speaker |
SPEAKER_20 |
transcript.pyannote[2914].start |
30254.08784375 |
transcript.pyannote[2914].end |
30268.02659375 |
transcript.pyannote[2915].speaker |
SPEAKER_05 |
transcript.pyannote[2915].start |
30268.02659375 |
transcript.pyannote[2915].end |
30269.57909375 |
transcript.pyannote[2916].speaker |
SPEAKER_20 |
transcript.pyannote[2916].start |
30269.57909375 |
transcript.pyannote[2916].end |
30280.05846875 |
transcript.pyannote[2917].speaker |
SPEAKER_05 |
transcript.pyannote[2917].start |
30269.64659375 |
transcript.pyannote[2917].end |
30271.80659375 |
transcript.pyannote[2918].speaker |
SPEAKER_05 |
transcript.pyannote[2918].start |
30273.32534375 |
transcript.pyannote[2918].end |
30273.57846875 |
transcript.pyannote[2919].speaker |
SPEAKER_20 |
transcript.pyannote[2919].start |
30280.27784375 |
transcript.pyannote[2919].end |
30282.52221875 |
transcript.pyannote[2920].speaker |
SPEAKER_20 |
transcript.pyannote[2920].start |
30283.02846875 |
transcript.pyannote[2920].end |
30284.53034375 |
transcript.pyannote[2921].speaker |
SPEAKER_20 |
transcript.pyannote[2921].start |
30284.73284375 |
transcript.pyannote[2921].end |
30285.79596875 |
transcript.pyannote[2922].speaker |
SPEAKER_20 |
transcript.pyannote[2922].start |
30286.04909375 |
transcript.pyannote[2922].end |
30287.17971875 |
transcript.pyannote[2923].speaker |
SPEAKER_20 |
transcript.pyannote[2923].start |
30287.53409375 |
transcript.pyannote[2923].end |
30292.71471875 |
transcript.pyannote[2924].speaker |
SPEAKER_20 |
transcript.pyannote[2924].start |
30292.79909375 |
transcript.pyannote[2924].end |
30300.67971875 |
transcript.pyannote[2925].speaker |
SPEAKER_05 |
transcript.pyannote[2925].start |
30301.86096875 |
transcript.pyannote[2925].end |
30305.03346875 |
transcript.pyannote[2926].speaker |
SPEAKER_20 |
transcript.pyannote[2926].start |
30305.37096875 |
transcript.pyannote[2926].end |
30306.75471875 |
transcript.pyannote[2927].speaker |
SPEAKER_05 |
transcript.pyannote[2927].start |
30305.45534375 |
transcript.pyannote[2927].end |
30310.88909375 |
transcript.pyannote[2928].speaker |
SPEAKER_20 |
transcript.pyannote[2928].start |
30307.76721875 |
transcript.pyannote[2928].end |
30312.77909375 |
transcript.pyannote[2929].speaker |
SPEAKER_05 |
transcript.pyannote[2929].start |
30311.44596875 |
transcript.pyannote[2929].end |
30312.28971875 |
transcript.pyannote[2930].speaker |
SPEAKER_20 |
transcript.pyannote[2930].start |
30312.96471875 |
transcript.pyannote[2930].end |
30316.39034375 |
transcript.pyannote[2931].speaker |
SPEAKER_20 |
transcript.pyannote[2931].start |
30316.82909375 |
transcript.pyannote[2931].end |
30321.25034375 |
transcript.pyannote[2932].speaker |
SPEAKER_20 |
transcript.pyannote[2932].start |
30321.95909375 |
transcript.pyannote[2932].end |
30324.94596875 |
transcript.pyannote[2933].speaker |
SPEAKER_20 |
transcript.pyannote[2933].start |
30325.13159375 |
transcript.pyannote[2933].end |
30325.75596875 |
transcript.pyannote[2934].speaker |
SPEAKER_20 |
transcript.pyannote[2934].start |
30326.46471875 |
transcript.pyannote[2934].end |
30328.84409375 |
transcript.pyannote[2935].speaker |
SPEAKER_20 |
transcript.pyannote[2935].start |
30329.09721875 |
transcript.pyannote[2935].end |
30331.12221875 |
transcript.pyannote[2936].speaker |
SPEAKER_20 |
transcript.pyannote[2936].start |
30331.56096875 |
transcript.pyannote[2936].end |
30332.32034375 |
transcript.pyannote[2937].speaker |
SPEAKER_20 |
transcript.pyannote[2937].start |
30332.97846875 |
transcript.pyannote[2937].end |
30335.25659375 |
transcript.pyannote[2938].speaker |
SPEAKER_20 |
transcript.pyannote[2938].start |
30335.72909375 |
transcript.pyannote[2938].end |
30338.71596875 |
transcript.pyannote[2939].speaker |
SPEAKER_20 |
transcript.pyannote[2939].start |
30339.17159375 |
transcript.pyannote[2939].end |
30343.42409375 |
transcript.pyannote[2940].speaker |
SPEAKER_20 |
transcript.pyannote[2940].start |
30343.87971875 |
transcript.pyannote[2940].end |
30350.39346875 |
transcript.pyannote[2941].speaker |
SPEAKER_20 |
transcript.pyannote[2941].start |
30350.62971875 |
transcript.pyannote[2941].end |
30357.37971875 |
transcript.pyannote[2942].speaker |
SPEAKER_05 |
transcript.pyannote[2942].start |
30358.78034375 |
transcript.pyannote[2942].end |
30360.45096875 |
transcript.pyannote[2943].speaker |
SPEAKER_05 |
transcript.pyannote[2943].start |
30360.70409375 |
transcript.pyannote[2943].end |
30362.66159375 |
transcript.pyannote[2944].speaker |
SPEAKER_20 |
transcript.pyannote[2944].start |
30361.27784375 |
transcript.pyannote[2944].end |
30362.79659375 |
transcript.pyannote[2945].speaker |
SPEAKER_05 |
transcript.pyannote[2945].start |
30362.79659375 |
transcript.pyannote[2945].end |
30363.03284375 |
transcript.pyannote[2946].speaker |
SPEAKER_20 |
transcript.pyannote[2946].start |
30363.03284375 |
transcript.pyannote[2946].end |
30364.11284375 |
transcript.pyannote[2947].speaker |
SPEAKER_20 |
transcript.pyannote[2947].start |
30364.18034375 |
transcript.pyannote[2947].end |
30366.30659375 |
transcript.pyannote[2948].speaker |
SPEAKER_05 |
transcript.pyannote[2948].start |
30364.46721875 |
transcript.pyannote[2948].end |
30364.63596875 |
transcript.pyannote[2949].speaker |
SPEAKER_19 |
transcript.pyannote[2949].start |
30366.66096875 |
transcript.pyannote[2949].end |
30366.76221875 |
transcript.pyannote[2950].speaker |
SPEAKER_05 |
transcript.pyannote[2950].start |
30366.76221875 |
transcript.pyannote[2950].end |
30366.84659375 |
transcript.pyannote[2951].speaker |
SPEAKER_19 |
transcript.pyannote[2951].start |
30366.84659375 |
transcript.pyannote[2951].end |
30366.91409375 |
transcript.pyannote[2952].speaker |
SPEAKER_05 |
transcript.pyannote[2952].start |
30366.91409375 |
transcript.pyannote[2952].end |
30366.93096875 |
transcript.pyannote[2953].speaker |
SPEAKER_19 |
transcript.pyannote[2953].start |
30366.93096875 |
transcript.pyannote[2953].end |
30366.94784375 |
transcript.pyannote[2954].speaker |
SPEAKER_05 |
transcript.pyannote[2954].start |
30367.92659375 |
transcript.pyannote[2954].end |
30369.96846875 |
transcript.pyannote[2955].speaker |
SPEAKER_20 |
transcript.pyannote[2955].start |
30369.96846875 |
transcript.pyannote[2955].end |
30371.63909375 |
transcript.pyannote[2956].speaker |
SPEAKER_05 |
transcript.pyannote[2956].start |
30370.25534375 |
transcript.pyannote[2956].end |
30370.91346875 |
transcript.pyannote[2957].speaker |
SPEAKER_20 |
transcript.pyannote[2957].start |
30372.38159375 |
transcript.pyannote[2957].end |
30375.77346875 |
transcript.pyannote[2958].speaker |
SPEAKER_20 |
transcript.pyannote[2958].start |
30376.12784375 |
transcript.pyannote[2958].end |
30385.18971875 |
transcript.pyannote[2959].speaker |
SPEAKER_20 |
transcript.pyannote[2959].start |
30385.29096875 |
transcript.pyannote[2959].end |
30387.82221875 |
transcript.pyannote[2960].speaker |
SPEAKER_20 |
transcript.pyannote[2960].start |
30387.99096875 |
transcript.pyannote[2960].end |
30390.37034375 |
transcript.pyannote[2961].speaker |
SPEAKER_14 |
transcript.pyannote[2961].start |
30390.80909375 |
transcript.pyannote[2961].end |
30391.04534375 |
transcript.pyannote[2962].speaker |
SPEAKER_20 |
transcript.pyannote[2962].start |
30391.77096875 |
transcript.pyannote[2962].end |
30392.37846875 |
transcript.pyannote[2963].speaker |
SPEAKER_20 |
transcript.pyannote[2963].start |
30392.73284375 |
transcript.pyannote[2963].end |
30393.13784375 |
transcript.pyannote[2964].speaker |
SPEAKER_20 |
transcript.pyannote[2964].start |
30393.39096875 |
transcript.pyannote[2964].end |
30394.53846875 |
transcript.pyannote[2965].speaker |
SPEAKER_20 |
transcript.pyannote[2965].start |
30394.70721875 |
transcript.pyannote[2965].end |
30395.80409375 |
transcript.pyannote[2966].speaker |
SPEAKER_20 |
transcript.pyannote[2966].start |
30396.02346875 |
transcript.pyannote[2966].end |
30400.76534375 |
transcript.pyannote[2967].speaker |
SPEAKER_20 |
transcript.pyannote[2967].start |
30401.11971875 |
transcript.pyannote[2967].end |
30403.39784375 |
transcript.pyannote[2968].speaker |
SPEAKER_20 |
transcript.pyannote[2968].start |
30403.66784375 |
transcript.pyannote[2968].end |
30404.37659375 |
transcript.pyannote[2969].speaker |
SPEAKER_20 |
transcript.pyannote[2969].start |
30404.76471875 |
transcript.pyannote[2969].end |
30407.07659375 |
transcript.pyannote[2970].speaker |
SPEAKER_20 |
transcript.pyannote[2970].start |
30408.34221875 |
transcript.pyannote[2970].end |
30408.91596875 |
transcript.pyannote[2971].speaker |
SPEAKER_20 |
transcript.pyannote[2971].start |
30410.29971875 |
transcript.pyannote[2971].end |
30411.95346875 |
transcript.pyannote[2972].speaker |
SPEAKER_20 |
transcript.pyannote[2972].start |
30413.06721875 |
transcript.pyannote[2972].end |
30417.65721875 |
transcript.pyannote[2973].speaker |
SPEAKER_20 |
transcript.pyannote[2973].start |
30418.36596875 |
transcript.pyannote[2973].end |
30419.10846875 |
transcript.pyannote[2974].speaker |
SPEAKER_20 |
transcript.pyannote[2974].start |
30419.29409375 |
transcript.pyannote[2974].end |
30420.88034375 |
transcript.pyannote[2975].speaker |
SPEAKER_20 |
transcript.pyannote[2975].start |
30421.58909375 |
transcript.pyannote[2975].end |
30422.71971875 |
transcript.pyannote[2976].speaker |
SPEAKER_20 |
transcript.pyannote[2976].start |
30423.05721875 |
transcript.pyannote[2976].end |
30426.33096875 |
transcript.pyannote[2977].speaker |
SPEAKER_20 |
transcript.pyannote[2977].start |
30426.98909375 |
transcript.pyannote[2977].end |
30434.65034375 |
transcript.pyannote[2978].speaker |
SPEAKER_20 |
transcript.pyannote[2978].start |
30435.03846875 |
transcript.pyannote[2978].end |
30440.57346875 |
transcript.pyannote[2979].speaker |
SPEAKER_20 |
transcript.pyannote[2979].start |
30440.77596875 |
transcript.pyannote[2979].end |
30442.09221875 |
transcript.pyannote[2980].speaker |
SPEAKER_20 |
transcript.pyannote[2980].start |
30442.21034375 |
transcript.pyannote[2980].end |
30446.37846875 |
transcript.pyannote[2981].speaker |
SPEAKER_20 |
transcript.pyannote[2981].start |
30447.01971875 |
transcript.pyannote[2981].end |
30448.77471875 |
transcript.pyannote[2982].speaker |
SPEAKER_20 |
transcript.pyannote[2982].start |
30449.04471875 |
transcript.pyannote[2982].end |
30450.02346875 |
transcript.pyannote[2983].speaker |
SPEAKER_20 |
transcript.pyannote[2983].start |
30450.68159375 |
transcript.pyannote[2983].end |
30451.69409375 |
transcript.pyannote[2984].speaker |
SPEAKER_20 |
transcript.pyannote[2984].start |
30452.20034375 |
transcript.pyannote[2984].end |
30458.35971875 |
transcript.pyannote[2985].speaker |
SPEAKER_20 |
transcript.pyannote[2985].start |
30458.78159375 |
transcript.pyannote[2985].end |
30461.02596875 |
transcript.pyannote[2986].speaker |
SPEAKER_20 |
transcript.pyannote[2986].start |
30461.38034375 |
transcript.pyannote[2986].end |
30463.82721875 |
transcript.pyannote[2987].speaker |
SPEAKER_20 |
transcript.pyannote[2987].start |
30464.51909375 |
transcript.pyannote[2987].end |
30466.05471875 |
transcript.pyannote[2988].speaker |
SPEAKER_20 |
transcript.pyannote[2988].start |
30466.10534375 |
transcript.pyannote[2988].end |
30466.67909375 |
transcript.pyannote[2989].speaker |
SPEAKER_20 |
transcript.pyannote[2989].start |
30466.91534375 |
transcript.pyannote[2989].end |
30469.26096875 |
transcript.pyannote[2990].speaker |
SPEAKER_20 |
transcript.pyannote[2990].start |
30469.69971875 |
transcript.pyannote[2990].end |
30472.66971875 |
transcript.pyannote[2991].speaker |
SPEAKER_20 |
transcript.pyannote[2991].start |
30472.88909375 |
transcript.pyannote[2991].end |
30479.77409375 |
transcript.pyannote[2992].speaker |
SPEAKER_20 |
transcript.pyannote[2992].start |
30480.14534375 |
transcript.pyannote[2992].end |
30485.35971875 |
transcript.pyannote[2993].speaker |
SPEAKER_20 |
transcript.pyannote[2993].start |
30485.57909375 |
transcript.pyannote[2993].end |
30486.69284375 |
transcript.pyannote[2994].speaker |
SPEAKER_20 |
transcript.pyannote[2994].start |
30486.79409375 |
transcript.pyannote[2994].end |
30491.94096875 |
transcript.pyannote[2995].speaker |
SPEAKER_20 |
transcript.pyannote[2995].start |
30492.34596875 |
transcript.pyannote[2995].end |
30492.83534375 |
transcript.pyannote[2996].speaker |
SPEAKER_20 |
transcript.pyannote[2996].start |
30492.95346875 |
transcript.pyannote[2996].end |
30495.94034375 |
transcript.pyannote[2997].speaker |
SPEAKER_20 |
transcript.pyannote[2997].start |
30497.74596875 |
transcript.pyannote[2997].end |
30499.99034375 |
transcript.pyannote[2998].speaker |
SPEAKER_05 |
transcript.pyannote[2998].start |
30499.43346875 |
transcript.pyannote[2998].end |
30503.58471875 |
transcript.pyannote[2999].speaker |
SPEAKER_20 |
transcript.pyannote[2999].start |
30503.58471875 |
transcript.pyannote[2999].end |
30503.61846875 |
transcript.pyannote[3000].speaker |
SPEAKER_05 |
transcript.pyannote[3000].start |
30503.61846875 |
transcript.pyannote[3000].end |
30503.63534375 |
transcript.pyannote[3001].speaker |
SPEAKER_20 |
transcript.pyannote[3001].start |
30503.70284375 |
transcript.pyannote[3001].end |
30503.73659375 |
transcript.pyannote[3002].speaker |
SPEAKER_05 |
transcript.pyannote[3002].start |
30503.73659375 |
transcript.pyannote[3002].end |
30503.75346875 |
transcript.pyannote[3003].speaker |
SPEAKER_20 |
transcript.pyannote[3003].start |
30503.75346875 |
transcript.pyannote[3003].end |
30503.95596875 |
transcript.pyannote[3004].speaker |
SPEAKER_05 |
transcript.pyannote[3004].start |
30503.95596875 |
transcript.pyannote[3004].end |
30504.27659375 |
transcript.pyannote[3005].speaker |
SPEAKER_20 |
transcript.pyannote[3005].start |
30504.27659375 |
transcript.pyannote[3005].end |
30504.39471875 |
transcript.pyannote[3006].speaker |
SPEAKER_20 |
transcript.pyannote[3006].start |
30504.88409375 |
transcript.pyannote[3006].end |
30506.90909375 |
transcript.pyannote[3007].speaker |
SPEAKER_20 |
transcript.pyannote[3007].start |
30506.97659375 |
transcript.pyannote[3007].end |
30509.84534375 |
transcript.pyannote[3008].speaker |
SPEAKER_20 |
transcript.pyannote[3008].start |
30510.09846875 |
transcript.pyannote[3008].end |
30514.03034375 |
transcript.pyannote[3009].speaker |
SPEAKER_20 |
transcript.pyannote[3009].start |
30514.46909375 |
transcript.pyannote[3009].end |
30520.84784375 |
transcript.pyannote[3010].speaker |
SPEAKER_20 |
transcript.pyannote[3010].start |
30521.01659375 |
transcript.pyannote[3010].end |
30522.14721875 |
transcript.pyannote[3011].speaker |
SPEAKER_20 |
transcript.pyannote[3011].start |
30522.46784375 |
transcript.pyannote[3011].end |
30527.04096875 |
transcript.pyannote[3012].speaker |
SPEAKER_20 |
transcript.pyannote[3012].start |
30527.58096875 |
transcript.pyannote[3012].end |
30530.58471875 |
transcript.pyannote[3013].speaker |
SPEAKER_20 |
transcript.pyannote[3013].start |
30530.66909375 |
transcript.pyannote[3013].end |
30531.54659375 |
transcript.pyannote[3014].speaker |
SPEAKER_20 |
transcript.pyannote[3014].start |
30531.81659375 |
transcript.pyannote[3014].end |
30534.83721875 |
transcript.pyannote[3015].speaker |
SPEAKER_20 |
transcript.pyannote[3015].start |
30535.15784375 |
transcript.pyannote[3015].end |
30536.28846875 |
transcript.pyannote[3016].speaker |
SPEAKER_20 |
transcript.pyannote[3016].start |
30536.79471875 |
transcript.pyannote[3016].end |
30538.78596875 |
transcript.pyannote[3017].speaker |
SPEAKER_20 |
transcript.pyannote[3017].start |
30539.02221875 |
transcript.pyannote[3017].end |
30543.20721875 |
transcript.pyannote[3018].speaker |
SPEAKER_20 |
transcript.pyannote[3018].start |
30543.39284375 |
transcript.pyannote[3018].end |
30550.00784375 |
transcript.pyannote[3019].speaker |
SPEAKER_20 |
transcript.pyannote[3019].start |
30550.36221875 |
transcript.pyannote[3019].end |
30551.98221875 |
transcript.pyannote[3020].speaker |
SPEAKER_20 |
transcript.pyannote[3020].start |
30553.58534375 |
transcript.pyannote[3020].end |
30553.95659375 |
transcript.pyannote[3021].speaker |
SPEAKER_20 |
transcript.pyannote[3021].start |
30554.34471875 |
transcript.pyannote[3021].end |
30555.47534375 |
transcript.pyannote[3022].speaker |
SPEAKER_20 |
transcript.pyannote[3022].start |
30555.86346875 |
transcript.pyannote[3022].end |
30556.89284375 |
transcript.pyannote[3023].speaker |
SPEAKER_20 |
transcript.pyannote[3023].start |
30557.19659375 |
transcript.pyannote[3023].end |
30559.18784375 |
transcript.pyannote[3024].speaker |
SPEAKER_20 |
transcript.pyannote[3024].start |
30559.30596875 |
transcript.pyannote[3024].end |
30560.67284375 |
transcript.pyannote[3025].speaker |
SPEAKER_20 |
transcript.pyannote[3025].start |
30560.77409375 |
transcript.pyannote[3025].end |
30561.71909375 |
transcript.pyannote[3026].speaker |
SPEAKER_05 |
transcript.pyannote[3026].start |
30563.17034375 |
transcript.pyannote[3026].end |
30565.83659375 |
transcript.pyannote[3027].speaker |
SPEAKER_05 |
transcript.pyannote[3027].start |
30566.10659375 |
transcript.pyannote[3027].end |
30573.27846875 |
transcript.pyannote[3028].speaker |
SPEAKER_20 |
transcript.pyannote[3028].start |
30567.15284375 |
transcript.pyannote[3028].end |
30569.90346875 |
transcript.pyannote[3029].speaker |
SPEAKER_20 |
transcript.pyannote[3029].start |
30571.75971875 |
transcript.pyannote[3029].end |
30573.36284375 |
transcript.pyannote[3030].speaker |
SPEAKER_05 |
transcript.pyannote[3030].start |
30573.36284375 |
transcript.pyannote[3030].end |
30573.54846875 |
transcript.pyannote[3031].speaker |
SPEAKER_05 |
transcript.pyannote[3031].start |
30573.68346875 |
transcript.pyannote[3031].end |
30574.66221875 |
transcript.pyannote[3032].speaker |
SPEAKER_05 |
transcript.pyannote[3032].start |
30574.74659375 |
transcript.pyannote[3032].end |
30575.37096875 |
transcript.pyannote[3033].speaker |
SPEAKER_20 |
transcript.pyannote[3033].start |
30575.37096875 |
transcript.pyannote[3033].end |
30575.38784375 |
transcript.pyannote[3034].speaker |
SPEAKER_05 |
transcript.pyannote[3034].start |
30575.38784375 |
transcript.pyannote[3034].end |
30575.40471875 |
transcript.pyannote[3035].speaker |
SPEAKER_05 |
transcript.pyannote[3035].start |
30575.82659375 |
transcript.pyannote[3035].end |
30575.84346875 |
transcript.pyannote[3036].speaker |
SPEAKER_20 |
transcript.pyannote[3036].start |
30575.84346875 |
transcript.pyannote[3036].end |
30582.07034375 |
transcript.pyannote[3037].speaker |
SPEAKER_05 |
transcript.pyannote[3037].start |
30575.87721875 |
transcript.pyannote[3037].end |
30576.67034375 |
transcript.pyannote[3038].speaker |
SPEAKER_05 |
transcript.pyannote[3038].start |
30576.70409375 |
transcript.pyannote[3038].end |
30576.72096875 |
transcript.pyannote[3039].speaker |
SPEAKER_20 |
transcript.pyannote[3039].start |
30582.37409375 |
transcript.pyannote[3039].end |
30588.61784375 |
transcript.pyannote[3040].speaker |
SPEAKER_20 |
transcript.pyannote[3040].start |
30588.88784375 |
transcript.pyannote[3040].end |
30593.12346875 |
transcript.pyannote[3041].speaker |
SPEAKER_20 |
transcript.pyannote[3041].start |
30593.76471875 |
transcript.pyannote[3041].end |
30594.70971875 |
transcript.pyannote[3042].speaker |
SPEAKER_20 |
transcript.pyannote[3042].start |
30595.01346875 |
transcript.pyannote[3042].end |
30597.39284375 |
transcript.pyannote[3043].speaker |
SPEAKER_20 |
transcript.pyannote[3043].start |
30597.89909375 |
transcript.pyannote[3043].end |
30599.35034375 |
transcript.pyannote[3044].speaker |
SPEAKER_20 |
transcript.pyannote[3044].start |
30599.48534375 |
transcript.pyannote[3044].end |
30600.46409375 |
transcript.pyannote[3045].speaker |
SPEAKER_20 |
transcript.pyannote[3045].start |
30600.66659375 |
transcript.pyannote[3045].end |
30604.27784375 |
transcript.pyannote[3046].speaker |
SPEAKER_20 |
transcript.pyannote[3046].start |
30605.05409375 |
transcript.pyannote[3046].end |
30608.15909375 |
transcript.pyannote[3047].speaker |
SPEAKER_20 |
transcript.pyannote[3047].start |
30608.34471875 |
transcript.pyannote[3047].end |
30610.55534375 |
transcript.pyannote[3048].speaker |
SPEAKER_20 |
transcript.pyannote[3048].start |
30610.89284375 |
transcript.pyannote[3048].end |
30612.90096875 |
transcript.pyannote[3049].speaker |
SPEAKER_05 |
transcript.pyannote[3049].start |
30613.81221875 |
transcript.pyannote[3049].end |
30614.63909375 |
transcript.pyannote[3050].speaker |
SPEAKER_20 |
transcript.pyannote[3050].start |
30614.63909375 |
transcript.pyannote[3050].end |
30614.65596875 |
transcript.pyannote[3051].speaker |
SPEAKER_05 |
transcript.pyannote[3051].start |
30614.92596875 |
transcript.pyannote[3051].end |
30614.97659375 |
transcript.pyannote[3052].speaker |
SPEAKER_20 |
transcript.pyannote[3052].start |
30614.97659375 |
transcript.pyannote[3052].end |
30620.91659375 |
transcript.pyannote[3053].speaker |
SPEAKER_20 |
transcript.pyannote[3053].start |
30621.18659375 |
transcript.pyannote[3053].end |
30622.60409375 |
transcript.pyannote[3054].speaker |
SPEAKER_05 |
transcript.pyannote[3054].start |
30623.32971875 |
transcript.pyannote[3054].end |
30624.02159375 |
transcript.pyannote[3055].speaker |
SPEAKER_20 |
transcript.pyannote[3055].start |
30624.02159375 |
transcript.pyannote[3055].end |
30624.05534375 |
transcript.pyannote[3056].speaker |
SPEAKER_28 |
transcript.pyannote[3056].start |
30632.57721875 |
transcript.pyannote[3056].end |
30640.50846875 |
transcript.pyannote[3057].speaker |
SPEAKER_01 |
transcript.pyannote[3057].start |
30646.43159375 |
transcript.pyannote[3057].end |
30649.38471875 |
transcript.pyannote[3058].speaker |
SPEAKER_28 |
transcript.pyannote[3058].start |
30649.92471875 |
transcript.pyannote[3058].end |
30651.73034375 |
transcript.pyannote[3059].speaker |
SPEAKER_05 |
transcript.pyannote[3059].start |
30660.52221875 |
transcript.pyannote[3059].end |
30661.18034375 |
transcript.pyannote[3060].speaker |
SPEAKER_01 |
transcript.pyannote[3060].start |
30661.24784375 |
transcript.pyannote[3060].end |
30741.82596875 |
transcript.pyannote[3061].speaker |
SPEAKER_05 |
transcript.pyannote[3061].start |
30663.20534375 |
transcript.pyannote[3061].end |
30664.09971875 |
transcript.pyannote[3062].speaker |
SPEAKER_05 |
transcript.pyannote[3062].start |
30743.63159375 |
transcript.pyannote[3062].end |
30749.25096875 |
transcript.pyannote[3063].speaker |
SPEAKER_00 |
transcript.pyannote[3063].start |
30747.86721875 |
transcript.pyannote[3063].end |
30747.96846875 |
transcript.pyannote[3064].speaker |
SPEAKER_01 |
transcript.pyannote[3064].start |
30747.96846875 |
transcript.pyannote[3064].end |
30748.05284375 |
transcript.pyannote[3065].speaker |
SPEAKER_00 |
transcript.pyannote[3065].start |
30748.05284375 |
transcript.pyannote[3065].end |
30748.17096875 |
transcript.pyannote[3066].speaker |
SPEAKER_05 |
transcript.pyannote[3066].start |
30749.35221875 |
transcript.pyannote[3066].end |
30752.91284375 |
transcript.pyannote[3067].speaker |
SPEAKER_05 |
transcript.pyannote[3067].start |
30753.16596875 |
transcript.pyannote[3067].end |
30754.43159375 |
transcript.pyannote[3068].speaker |
SPEAKER_05 |
transcript.pyannote[3068].start |
30754.60034375 |
transcript.pyannote[3068].end |
30755.54534375 |
transcript.pyannote[3069].speaker |
SPEAKER_05 |
transcript.pyannote[3069].start |
30755.89971875 |
transcript.pyannote[3069].end |
30761.28284375 |
transcript.pyannote[3070].speaker |
SPEAKER_05 |
transcript.pyannote[3070].start |
30761.50221875 |
transcript.pyannote[3070].end |
30765.90659375 |
transcript.pyannote[3071].speaker |
SPEAKER_05 |
transcript.pyannote[3071].start |
30766.27784375 |
transcript.pyannote[3071].end |
30768.45471875 |
transcript.pyannote[3072].speaker |
SPEAKER_05 |
transcript.pyannote[3072].start |
30768.50534375 |
transcript.pyannote[3072].end |
30769.77096875 |
transcript.pyannote[3073].speaker |
SPEAKER_05 |
transcript.pyannote[3073].start |
30769.97346875 |
transcript.pyannote[3073].end |
30771.44159375 |
transcript.pyannote[3074].speaker |
SPEAKER_05 |
transcript.pyannote[3074].start |
30771.76221875 |
transcript.pyannote[3074].end |
30772.53846875 |
transcript.pyannote[3075].speaker |
SPEAKER_05 |
transcript.pyannote[3075].start |
30772.92659375 |
transcript.pyannote[3075].end |
30777.07784375 |
transcript.pyannote[3076].speaker |
SPEAKER_05 |
transcript.pyannote[3076].start |
30777.22971875 |
transcript.pyannote[3076].end |
30779.38971875 |
transcript.pyannote[3077].speaker |
SPEAKER_05 |
transcript.pyannote[3077].start |
30779.65971875 |
transcript.pyannote[3077].end |
30782.74784375 |
transcript.pyannote[3078].speaker |
SPEAKER_05 |
transcript.pyannote[3078].start |
30782.93346875 |
transcript.pyannote[3078].end |
30783.33846875 |
transcript.pyannote[3079].speaker |
SPEAKER_05 |
transcript.pyannote[3079].start |
30783.67596875 |
transcript.pyannote[3079].end |
30784.65471875 |
transcript.pyannote[3080].speaker |
SPEAKER_05 |
transcript.pyannote[3080].start |
30785.11034375 |
transcript.pyannote[3080].end |
30790.34159375 |
transcript.pyannote[3081].speaker |
SPEAKER_01 |
transcript.pyannote[3081].start |
30789.34596875 |
transcript.pyannote[3081].end |
30802.59284375 |
transcript.pyannote[3082].speaker |
SPEAKER_02 |
transcript.pyannote[3082].start |
30801.66471875 |
transcript.pyannote[3082].end |
30802.71096875 |
transcript.pyannote[3083].speaker |
SPEAKER_05 |
transcript.pyannote[3083].start |
30802.59284375 |
transcript.pyannote[3083].end |
30802.60971875 |
transcript.pyannote[3084].speaker |
SPEAKER_05 |
transcript.pyannote[3084].start |
30802.71096875 |
transcript.pyannote[3084].end |
30803.63909375 |
transcript.pyannote[3085].speaker |
SPEAKER_02 |
transcript.pyannote[3085].start |
30803.63909375 |
transcript.pyannote[3085].end |
30819.02909375 |
transcript.pyannote[3086].speaker |
SPEAKER_05 |
transcript.pyannote[3086].start |
30803.65596875 |
transcript.pyannote[3086].end |
30803.68971875 |
transcript.pyannote[3087].speaker |
SPEAKER_01 |
transcript.pyannote[3087].start |
30803.68971875 |
transcript.pyannote[3087].end |
30804.83721875 |
transcript.pyannote[3088].speaker |
SPEAKER_01 |
transcript.pyannote[3088].start |
30819.02909375 |
transcript.pyannote[3088].end |
30845.21909375 |
transcript.pyannote[3089].speaker |
SPEAKER_02 |
transcript.pyannote[3089].start |
30819.07971875 |
transcript.pyannote[3089].end |
30820.02471875 |
transcript.pyannote[3090].speaker |
SPEAKER_25 |
transcript.pyannote[3090].start |
30831.02721875 |
transcript.pyannote[3090].end |
30831.39846875 |
transcript.pyannote[3091].speaker |
SPEAKER_00 |
transcript.pyannote[3091].start |
30831.39846875 |
transcript.pyannote[3091].end |
30831.44909375 |
transcript.pyannote[3092].speaker |
SPEAKER_05 |
transcript.pyannote[3092].start |
30845.77596875 |
transcript.pyannote[3092].end |
30849.80909375 |
transcript.pyannote[3093].speaker |
SPEAKER_05 |
transcript.pyannote[3093].start |
30849.97784375 |
transcript.pyannote[3093].end |
30850.99034375 |
transcript.pyannote[3094].speaker |
SPEAKER_05 |
transcript.pyannote[3094].start |
30851.26034375 |
transcript.pyannote[3094].end |
30854.16284375 |
transcript.pyannote[3095].speaker |
SPEAKER_05 |
transcript.pyannote[3095].start |
30854.85471875 |
transcript.pyannote[3095].end |
30857.14971875 |
transcript.pyannote[3096].speaker |
SPEAKER_05 |
transcript.pyannote[3096].start |
30857.38596875 |
transcript.pyannote[3096].end |
30858.46596875 |
transcript.pyannote[3097].speaker |
SPEAKER_05 |
transcript.pyannote[3097].start |
30858.78659375 |
transcript.pyannote[3097].end |
30861.46971875 |
transcript.pyannote[3098].speaker |
SPEAKER_05 |
transcript.pyannote[3098].start |
30861.72284375 |
transcript.pyannote[3098].end |
30865.45221875 |
transcript.pyannote[3099].speaker |
SPEAKER_01 |
transcript.pyannote[3099].start |
30866.04284375 |
transcript.pyannote[3099].end |
30900.99096875 |
transcript.pyannote[3100].speaker |
SPEAKER_05 |
transcript.pyannote[3100].start |
30901.15971875 |
transcript.pyannote[3100].end |
30907.20096875 |
transcript.pyannote[3101].speaker |
SPEAKER_05 |
transcript.pyannote[3101].start |
30907.42034375 |
transcript.pyannote[3101].end |
30908.60159375 |
transcript.pyannote[3102].speaker |
SPEAKER_05 |
transcript.pyannote[3102].start |
30908.90534375 |
transcript.pyannote[3102].end |
30911.08221875 |
transcript.pyannote[3103].speaker |
SPEAKER_05 |
transcript.pyannote[3103].start |
30911.14971875 |
transcript.pyannote[3103].end |
30911.63909375 |
transcript.pyannote[3104].speaker |
SPEAKER_05 |
transcript.pyannote[3104].start |
30911.87534375 |
transcript.pyannote[3104].end |
30913.41096875 |
transcript.pyannote[3105].speaker |
SPEAKER_05 |
transcript.pyannote[3105].start |
30914.10284375 |
transcript.pyannote[3105].end |
30919.90784375 |
transcript.pyannote[3106].speaker |
SPEAKER_05 |
transcript.pyannote[3106].start |
30920.12721875 |
transcript.pyannote[3106].end |
30924.21096875 |
transcript.pyannote[3107].speaker |
SPEAKER_05 |
transcript.pyannote[3107].start |
30924.73409375 |
transcript.pyannote[3107].end |
30933.22221875 |
transcript.pyannote[3108].speaker |
SPEAKER_00 |
transcript.pyannote[3108].start |
30927.14721875 |
transcript.pyannote[3108].end |
30927.18096875 |
transcript.pyannote[3109].speaker |
SPEAKER_01 |
transcript.pyannote[3109].start |
30927.18096875 |
transcript.pyannote[3109].end |
30927.56909375 |
transcript.pyannote[3110].speaker |
SPEAKER_01 |
transcript.pyannote[3110].start |
30933.22221875 |
transcript.pyannote[3110].end |
30933.42471875 |
transcript.pyannote[3111].speaker |
SPEAKER_01 |
transcript.pyannote[3111].start |
30933.67784375 |
transcript.pyannote[3111].end |
30940.59659375 |
transcript.pyannote[3112].speaker |
SPEAKER_05 |
transcript.pyannote[3112].start |
30941.52471875 |
transcript.pyannote[3112].end |
30947.78534375 |
transcript.pyannote[3113].speaker |
SPEAKER_01 |
transcript.pyannote[3113].start |
30948.42659375 |
transcript.pyannote[3113].end |
30957.21846875 |
transcript.pyannote[3114].speaker |
SPEAKER_05 |
transcript.pyannote[3114].start |
30948.56159375 |
transcript.pyannote[3114].end |
30950.94096875 |
transcript.pyannote[3115].speaker |
SPEAKER_05 |
transcript.pyannote[3115].start |
30957.20159375 |
transcript.pyannote[3115].end |
30965.08221875 |
transcript.pyannote[3116].speaker |
SPEAKER_01 |
transcript.pyannote[3116].start |
30964.20471875 |
transcript.pyannote[3116].end |
30965.03159375 |
transcript.pyannote[3117].speaker |
SPEAKER_01 |
transcript.pyannote[3117].start |
30965.13284375 |
transcript.pyannote[3117].end |
30977.28284375 |
transcript.pyannote[3118].speaker |
SPEAKER_01 |
transcript.pyannote[3118].start |
30977.40096875 |
transcript.pyannote[3118].end |
30983.39159375 |
transcript.pyannote[3119].speaker |
SPEAKER_01 |
transcript.pyannote[3119].start |
30983.66159375 |
transcript.pyannote[3119].end |
31010.86409375 |
transcript.pyannote[3120].speaker |
SPEAKER_05 |
transcript.pyannote[3120].start |
31011.33659375 |
transcript.pyannote[3120].end |
31014.45846875 |
transcript.pyannote[3121].speaker |
SPEAKER_05 |
transcript.pyannote[3121].start |
31014.82971875 |
transcript.pyannote[3121].end |
31017.07409375 |
transcript.pyannote[3122].speaker |
SPEAKER_05 |
transcript.pyannote[3122].start |
31017.27659375 |
transcript.pyannote[3122].end |
31017.86721875 |
transcript.pyannote[3123].speaker |
SPEAKER_05 |
transcript.pyannote[3123].start |
31018.01909375 |
transcript.pyannote[3123].end |
31020.75284375 |
transcript.pyannote[3124].speaker |
SPEAKER_05 |
transcript.pyannote[3124].start |
31021.12409375 |
transcript.pyannote[3124].end |
31021.96784375 |
transcript.pyannote[3125].speaker |
SPEAKER_05 |
transcript.pyannote[3125].start |
31022.27159375 |
transcript.pyannote[3125].end |
31022.81159375 |
transcript.pyannote[3126].speaker |
SPEAKER_05 |
transcript.pyannote[3126].start |
31023.40221875 |
transcript.pyannote[3126].end |
31026.40596875 |
transcript.pyannote[3127].speaker |
SPEAKER_05 |
transcript.pyannote[3127].start |
31026.77721875 |
transcript.pyannote[3127].end |
31031.46846875 |
transcript.pyannote[3128].speaker |
SPEAKER_01 |
transcript.pyannote[3128].start |
31030.48971875 |
transcript.pyannote[3128].end |
31043.70284375 |
transcript.pyannote[3129].speaker |
SPEAKER_05 |
transcript.pyannote[3129].start |
31043.92221875 |
transcript.pyannote[3129].end |
31056.20721875 |
transcript.pyannote[3130].speaker |
SPEAKER_01 |
transcript.pyannote[3130].start |
31048.91721875 |
transcript.pyannote[3130].end |
31049.20409375 |
transcript.pyannote[3131].speaker |
SPEAKER_01 |
transcript.pyannote[3131].start |
31050.18284375 |
transcript.pyannote[3131].end |
31050.36846875 |
transcript.pyannote[3132].speaker |
SPEAKER_01 |
transcript.pyannote[3132].start |
31052.76471875 |
transcript.pyannote[3132].end |
31053.05159375 |
transcript.pyannote[3133].speaker |
SPEAKER_01 |
transcript.pyannote[3133].start |
31055.19471875 |
transcript.pyannote[3133].end |
31064.07096875 |
transcript.pyannote[3134].speaker |
SPEAKER_05 |
transcript.pyannote[3134].start |
31065.23534375 |
transcript.pyannote[3134].end |
31065.97784375 |
transcript.pyannote[3135].speaker |
SPEAKER_05 |
transcript.pyannote[3135].start |
31066.24784375 |
transcript.pyannote[3135].end |
31068.79596875 |
transcript.pyannote[3136].speaker |
SPEAKER_05 |
transcript.pyannote[3136].start |
31069.18409375 |
transcript.pyannote[3136].end |
31071.64784375 |
transcript.pyannote[3137].speaker |
SPEAKER_05 |
transcript.pyannote[3137].start |
31072.05284375 |
transcript.pyannote[3137].end |
31072.76159375 |
transcript.pyannote[3138].speaker |
SPEAKER_05 |
transcript.pyannote[3138].start |
31073.28471875 |
transcript.pyannote[3138].end |
31077.26721875 |
transcript.pyannote[3139].speaker |
SPEAKER_01 |
transcript.pyannote[3139].start |
31077.46971875 |
transcript.pyannote[3139].end |
31078.14471875 |
transcript.pyannote[3140].speaker |
SPEAKER_01 |
transcript.pyannote[3140].start |
31078.43159375 |
transcript.pyannote[3140].end |
31093.92284375 |
transcript.pyannote[3141].speaker |
SPEAKER_05 |
transcript.pyannote[3141].start |
31080.33846875 |
transcript.pyannote[3141].end |
31081.78971875 |
transcript.pyannote[3142].speaker |
SPEAKER_25 |
transcript.pyannote[3142].start |
31085.73846875 |
transcript.pyannote[3142].end |
31088.03346875 |
transcript.pyannote[3143].speaker |
SPEAKER_05 |
transcript.pyannote[3143].start |
31088.03346875 |
transcript.pyannote[3143].end |
31089.16409375 |
transcript.pyannote[3144].speaker |
SPEAKER_25 |
transcript.pyannote[3144].start |
31089.16409375 |
transcript.pyannote[3144].end |
31089.18096875 |
transcript.pyannote[3145].speaker |
SPEAKER_25 |
transcript.pyannote[3145].start |
31091.67846875 |
transcript.pyannote[3145].end |
31091.69534375 |
transcript.pyannote[3146].speaker |
SPEAKER_05 |
transcript.pyannote[3146].start |
31091.69534375 |
transcript.pyannote[3146].end |
31092.15096875 |
transcript.pyannote[3147].speaker |
SPEAKER_05 |
transcript.pyannote[3147].start |
31092.64034375 |
transcript.pyannote[3147].end |
31094.10846875 |
transcript.pyannote[3148].speaker |
SPEAKER_01 |
transcript.pyannote[3148].start |
31094.10846875 |
transcript.pyannote[3148].end |
31094.61471875 |
transcript.pyannote[3149].speaker |
SPEAKER_05 |
transcript.pyannote[3149].start |
31094.61471875 |
transcript.pyannote[3149].end |
31102.74846875 |
transcript.pyannote[3150].speaker |
SPEAKER_05 |
transcript.pyannote[3150].start |
31102.96784375 |
transcript.pyannote[3150].end |
31103.25471875 |
transcript.pyannote[3151].speaker |
SPEAKER_05 |
transcript.pyannote[3151].start |
31103.57534375 |
transcript.pyannote[3151].end |
31105.80284375 |
transcript.pyannote[3152].speaker |
SPEAKER_05 |
transcript.pyannote[3152].start |
31106.27534375 |
transcript.pyannote[3152].end |
31107.81096875 |
transcript.pyannote[3153].speaker |
SPEAKER_01 |
transcript.pyannote[3153].start |
31108.78971875 |
transcript.pyannote[3153].end |
31109.27909375 |
transcript.pyannote[3154].speaker |
SPEAKER_01 |
transcript.pyannote[3154].start |
31109.41409375 |
transcript.pyannote[3154].end |
31129.63034375 |
transcript.pyannote[3155].speaker |
SPEAKER_05 |
transcript.pyannote[3155].start |
31132.06034375 |
transcript.pyannote[3155].end |
31136.09346875 |
transcript.pyannote[3156].speaker |
SPEAKER_05 |
transcript.pyannote[3156].start |
31136.21159375 |
transcript.pyannote[3156].end |
31137.74721875 |
transcript.pyannote[3157].speaker |
SPEAKER_05 |
transcript.pyannote[3157].start |
31137.79784375 |
transcript.pyannote[3157].end |
31140.31221875 |
transcript.pyannote[3158].speaker |
SPEAKER_01 |
transcript.pyannote[3158].start |
31139.78909375 |
transcript.pyannote[3158].end |
31209.04409375 |
transcript.pyannote[3159].speaker |
SPEAKER_05 |
transcript.pyannote[3159].start |
31209.87096875 |
transcript.pyannote[3159].end |
31211.28846875 |
transcript.pyannote[3160].speaker |
SPEAKER_05 |
transcript.pyannote[3160].start |
31212.11534375 |
transcript.pyannote[3160].end |
31214.69721875 |
transcript.pyannote[3161].speaker |
SPEAKER_01 |
transcript.pyannote[3161].start |
31214.17409375 |
transcript.pyannote[3161].end |
31228.72034375 |
transcript.pyannote[3162].speaker |
SPEAKER_01 |
transcript.pyannote[3162].start |
31229.19284375 |
transcript.pyannote[3162].end |
31235.68971875 |
transcript.pyannote[3163].speaker |
SPEAKER_05 |
transcript.pyannote[3163].start |
31236.39846875 |
transcript.pyannote[3163].end |
31243.41846875 |
transcript.pyannote[3164].speaker |
SPEAKER_01 |
transcript.pyannote[3164].start |
31242.18659375 |
transcript.pyannote[3164].end |
31242.25409375 |
transcript.pyannote[3165].speaker |
SPEAKER_01 |
transcript.pyannote[3165].start |
31242.50721875 |
transcript.pyannote[3165].end |
31255.46721875 |
transcript.pyannote[3166].speaker |
SPEAKER_01 |
transcript.pyannote[3166].start |
31255.60221875 |
transcript.pyannote[3166].end |
31285.94346875 |
transcript.pyannote[3167].speaker |
SPEAKER_05 |
transcript.pyannote[3167].start |
31286.07846875 |
transcript.pyannote[3167].end |
31287.88409375 |
transcript.pyannote[3168].speaker |
SPEAKER_05 |
transcript.pyannote[3168].start |
31288.49159375 |
transcript.pyannote[3168].end |
31292.11971875 |
transcript.pyannote[3169].speaker |
SPEAKER_01 |
transcript.pyannote[3169].start |
31292.23784375 |
transcript.pyannote[3169].end |
31292.60909375 |
transcript.pyannote[3170].speaker |
SPEAKER_01 |
transcript.pyannote[3170].start |
31292.74409375 |
transcript.pyannote[3170].end |
31293.63846875 |
transcript.pyannote[3171].speaker |
SPEAKER_05 |
transcript.pyannote[3171].start |
31292.98034375 |
transcript.pyannote[3171].end |
31293.31784375 |
transcript.pyannote[3172].speaker |
SPEAKER_01 |
transcript.pyannote[3172].start |
31293.80721875 |
transcript.pyannote[3172].end |
31296.49034375 |
transcript.pyannote[3173].speaker |
SPEAKER_05 |
transcript.pyannote[3173].start |
31296.89534375 |
transcript.pyannote[3173].end |
31299.02159375 |
transcript.pyannote[3174].speaker |
SPEAKER_01 |
transcript.pyannote[3174].start |
31298.85284375 |
transcript.pyannote[3174].end |
31329.41346875 |
transcript.pyannote[3175].speaker |
SPEAKER_05 |
transcript.pyannote[3175].start |
31330.13909375 |
transcript.pyannote[3175].end |
31331.38784375 |
transcript.pyannote[3176].speaker |
SPEAKER_05 |
transcript.pyannote[3176].start |
31331.60721875 |
transcript.pyannote[3176].end |
31336.93971875 |
transcript.pyannote[3177].speaker |
SPEAKER_01 |
transcript.pyannote[3177].start |
31334.54346875 |
transcript.pyannote[3177].end |
31334.93159375 |
transcript.pyannote[3178].speaker |
SPEAKER_00 |
transcript.pyannote[3178].start |
31334.93159375 |
transcript.pyannote[3178].end |
31334.94846875 |
transcript.pyannote[3179].speaker |
SPEAKER_05 |
transcript.pyannote[3179].start |
31337.34471875 |
transcript.pyannote[3179].end |
31339.87596875 |
transcript.pyannote[3180].speaker |
SPEAKER_05 |
transcript.pyannote[3180].start |
31340.06159375 |
transcript.pyannote[3180].end |
31341.10784375 |
transcript.pyannote[3181].speaker |
SPEAKER_00 |
transcript.pyannote[3181].start |
31340.12909375 |
transcript.pyannote[3181].end |
31340.44971875 |
transcript.pyannote[3182].speaker |
SPEAKER_05 |
transcript.pyannote[3182].start |
31341.76596875 |
transcript.pyannote[3182].end |
31343.28471875 |
transcript.pyannote[3183].speaker |
SPEAKER_05 |
transcript.pyannote[3183].start |
31343.55471875 |
transcript.pyannote[3183].end |
31345.81596875 |
transcript.pyannote[3184].speaker |
SPEAKER_05 |
transcript.pyannote[3184].start |
31346.06909375 |
transcript.pyannote[3184].end |
31349.61284375 |
transcript.pyannote[3185].speaker |
SPEAKER_01 |
transcript.pyannote[3185].start |
31350.11909375 |
transcript.pyannote[3185].end |
31357.13909375 |
transcript.pyannote[3186].speaker |
SPEAKER_05 |
transcript.pyannote[3186].start |
31356.97034375 |
transcript.pyannote[3186].end |
31358.40471875 |
transcript.pyannote[3187].speaker |
SPEAKER_01 |
transcript.pyannote[3187].start |
31358.50596875 |
transcript.pyannote[3187].end |
31360.36221875 |
transcript.pyannote[3188].speaker |
SPEAKER_05 |
transcript.pyannote[3188].start |
31360.56471875 |
transcript.pyannote[3188].end |
31363.60221875 |
transcript.pyannote[3189].speaker |
SPEAKER_01 |
transcript.pyannote[3189].start |
31363.04534375 |
transcript.pyannote[3189].end |
31371.12846875 |
transcript.pyannote[3190].speaker |
SPEAKER_05 |
transcript.pyannote[3190].start |
31371.12846875 |
transcript.pyannote[3190].end |
31373.40659375 |
transcript.pyannote[3191].speaker |
SPEAKER_01 |
transcript.pyannote[3191].start |
31373.44034375 |
transcript.pyannote[3191].end |
31376.07284375 |
transcript.pyannote[3192].speaker |
SPEAKER_05 |
transcript.pyannote[3192].start |
31374.89159375 |
transcript.pyannote[3192].end |
31386.68721875 |
transcript.pyannote[3193].speaker |
SPEAKER_01 |
transcript.pyannote[3193].start |
31379.97096875 |
transcript.pyannote[3193].end |
31380.40971875 |
transcript.pyannote[3194].speaker |
SPEAKER_25 |
transcript.pyannote[3194].start |
31380.40971875 |
transcript.pyannote[3194].end |
31380.42659375 |
transcript.pyannote[3195].speaker |
SPEAKER_01 |
transcript.pyannote[3195].start |
31380.42659375 |
transcript.pyannote[3195].end |
31381.87784375 |
transcript.pyannote[3196].speaker |
SPEAKER_01 |
transcript.pyannote[3196].start |
31383.66659375 |
transcript.pyannote[3196].end |
31383.97034375 |
transcript.pyannote[3197].speaker |
SPEAKER_01 |
transcript.pyannote[3197].start |
31384.02096875 |
transcript.pyannote[3197].end |
31389.52221875 |
transcript.pyannote[3198].speaker |
SPEAKER_05 |
transcript.pyannote[3198].start |
31387.26096875 |
transcript.pyannote[3198].end |
31387.69971875 |
transcript.pyannote[3199].speaker |
SPEAKER_05 |
transcript.pyannote[3199].start |
31389.25221875 |
transcript.pyannote[3199].end |
31397.70659375 |
transcript.pyannote[3200].speaker |
SPEAKER_01 |
transcript.pyannote[3200].start |
31396.81221875 |
transcript.pyannote[3200].end |
31411.37534375 |
transcript.pyannote[3201].speaker |
SPEAKER_05 |
transcript.pyannote[3201].start |
31402.66784375 |
transcript.pyannote[3201].end |
31403.93346875 |
transcript.pyannote[3202].speaker |
SPEAKER_05 |
transcript.pyannote[3202].start |
31410.51471875 |
transcript.pyannote[3202].end |
31411.64534375 |
transcript.pyannote[3203].speaker |
SPEAKER_01 |
transcript.pyannote[3203].start |
31412.75909375 |
transcript.pyannote[3203].end |
31473.05346875 |
transcript.pyannote[3204].speaker |
SPEAKER_00 |
transcript.pyannote[3204].start |
31421.65221875 |
transcript.pyannote[3204].end |
31422.10784375 |
transcript.pyannote[3205].speaker |
SPEAKER_17 |
transcript.pyannote[3205].start |
31474.33596875 |
transcript.pyannote[3205].end |
31480.02284375 |
transcript.pyannote[3206].speaker |
SPEAKER_17 |
transcript.pyannote[3206].start |
31480.05659375 |
transcript.pyannote[3206].end |
31486.08096875 |
transcript.pyannote[3207].speaker |
SPEAKER_17 |
transcript.pyannote[3207].start |
31486.36784375 |
transcript.pyannote[3207].end |
31489.48971875 |
transcript.pyannote[3208].speaker |
SPEAKER_17 |
transcript.pyannote[3208].start |
31489.81034375 |
transcript.pyannote[3208].end |
31490.87346875 |
transcript.pyannote[3209].speaker |
SPEAKER_17 |
transcript.pyannote[3209].start |
31491.56534375 |
transcript.pyannote[3209].end |
31496.61096875 |
transcript.pyannote[3210].speaker |
SPEAKER_17 |
transcript.pyannote[3210].start |
31496.71221875 |
transcript.pyannote[3210].end |
31500.55971875 |
transcript.pyannote[3211].speaker |
SPEAKER_17 |
transcript.pyannote[3211].start |
31500.66096875 |
transcript.pyannote[3211].end |
31511.88284375 |
transcript.pyannote[3212].speaker |
SPEAKER_01 |
transcript.pyannote[3212].start |
31510.17846875 |
transcript.pyannote[3212].end |
31523.71221875 |
transcript.pyannote[3213].speaker |
SPEAKER_05 |
transcript.pyannote[3213].start |
31523.86409375 |
transcript.pyannote[3213].end |
31526.64846875 |
transcript.pyannote[3214].speaker |
SPEAKER_05 |
transcript.pyannote[3214].start |
31526.78346875 |
transcript.pyannote[3214].end |
31532.53784375 |
transcript.pyannote[3215].speaker |
SPEAKER_01 |
transcript.pyannote[3215].start |
31531.82909375 |
transcript.pyannote[3215].end |
31563.94221875 |
transcript.pyannote[3216].speaker |
SPEAKER_01 |
transcript.pyannote[3216].start |
31564.17846875 |
transcript.pyannote[3216].end |
31564.21221875 |
transcript.pyannote[3217].speaker |
SPEAKER_28 |
transcript.pyannote[3217].start |
31564.21221875 |
transcript.pyannote[3217].end |
31564.22909375 |
transcript.pyannote[3218].speaker |
SPEAKER_00 |
transcript.pyannote[3218].start |
31564.22909375 |
transcript.pyannote[3218].end |
31564.53284375 |
transcript.pyannote[3219].speaker |
SPEAKER_28 |
transcript.pyannote[3219].start |
31565.25846875 |
transcript.pyannote[3219].end |
31568.78534375 |
transcript.pyannote[3220].speaker |
SPEAKER_28 |
transcript.pyannote[3220].start |
31569.98346875 |
transcript.pyannote[3220].end |
31572.70034375 |
transcript.pyannote[3221].speaker |
SPEAKER_22 |
transcript.pyannote[3221].start |
31584.61409375 |
transcript.pyannote[3221].end |
31584.63096875 |
transcript.pyannote[3222].speaker |
SPEAKER_28 |
transcript.pyannote[3222].start |
31584.63096875 |
transcript.pyannote[3222].end |
31584.64784375 |
transcript.pyannote[3223].speaker |
SPEAKER_22 |
transcript.pyannote[3223].start |
31584.64784375 |
transcript.pyannote[3223].end |
31586.67284375 |
transcript.pyannote[3224].speaker |
SPEAKER_28 |
transcript.pyannote[3224].start |
31586.67284375 |
transcript.pyannote[3224].end |
31587.98909375 |
transcript.pyannote[3225].speaker |
SPEAKER_05 |
transcript.pyannote[3225].start |
31597.97909375 |
transcript.pyannote[3225].end |
31598.58659375 |
transcript.pyannote[3226].speaker |
SPEAKER_22 |
transcript.pyannote[3226].start |
31598.58659375 |
transcript.pyannote[3226].end |
31599.36284375 |
transcript.pyannote[3227].speaker |
SPEAKER_22 |
transcript.pyannote[3227].start |
31599.63284375 |
transcript.pyannote[3227].end |
31600.29096875 |
transcript.pyannote[3228].speaker |
SPEAKER_22 |
transcript.pyannote[3228].start |
31600.52721875 |
transcript.pyannote[3228].end |
31611.05721875 |
transcript.pyannote[3229].speaker |
SPEAKER_22 |
transcript.pyannote[3229].start |
31611.51284375 |
transcript.pyannote[3229].end |
31666.64346875 |
transcript.pyannote[3230].speaker |
SPEAKER_05 |
transcript.pyannote[3230].start |
31667.06534375 |
transcript.pyannote[3230].end |
31667.92596875 |
transcript.pyannote[3231].speaker |
SPEAKER_05 |
transcript.pyannote[3231].start |
31668.22971875 |
transcript.pyannote[3231].end |
31672.34721875 |
transcript.pyannote[3232].speaker |
SPEAKER_05 |
transcript.pyannote[3232].start |
31672.38096875 |
transcript.pyannote[3232].end |
31673.25846875 |
transcript.pyannote[3233].speaker |
SPEAKER_05 |
transcript.pyannote[3233].start |
31673.46096875 |
transcript.pyannote[3233].end |
31674.62534375 |
transcript.pyannote[3234].speaker |
SPEAKER_05 |
transcript.pyannote[3234].start |
31675.31721875 |
transcript.pyannote[3234].end |
31675.75596875 |
transcript.pyannote[3235].speaker |
SPEAKER_05 |
transcript.pyannote[3235].start |
31676.07659375 |
transcript.pyannote[3235].end |
31678.10159375 |
transcript.pyannote[3236].speaker |
SPEAKER_05 |
transcript.pyannote[3236].start |
31678.42221875 |
transcript.pyannote[3236].end |
31680.68346875 |
transcript.pyannote[3237].speaker |
SPEAKER_05 |
transcript.pyannote[3237].start |
31681.29096875 |
transcript.pyannote[3237].end |
31684.71659375 |
transcript.pyannote[3238].speaker |
SPEAKER_22 |
transcript.pyannote[3238].start |
31683.99096875 |
transcript.pyannote[3238].end |
31684.34534375 |
transcript.pyannote[3239].speaker |
SPEAKER_05 |
transcript.pyannote[3239].start |
31685.13846875 |
transcript.pyannote[3239].end |
31688.90159375 |
transcript.pyannote[3240].speaker |
SPEAKER_05 |
transcript.pyannote[3240].start |
31689.28971875 |
transcript.pyannote[3240].end |
31690.75784375 |
transcript.pyannote[3241].speaker |
SPEAKER_22 |
transcript.pyannote[3241].start |
31691.44971875 |
transcript.pyannote[3241].end |
31695.11159375 |
transcript.pyannote[3242].speaker |
SPEAKER_22 |
transcript.pyannote[3242].start |
31695.85409375 |
transcript.pyannote[3242].end |
31697.52471875 |
transcript.pyannote[3243].speaker |
SPEAKER_22 |
transcript.pyannote[3243].start |
31698.01409375 |
transcript.pyannote[3243].end |
31699.71846875 |
transcript.pyannote[3244].speaker |
SPEAKER_22 |
transcript.pyannote[3244].start |
31700.10659375 |
transcript.pyannote[3244].end |
31700.71409375 |
transcript.pyannote[3245].speaker |
SPEAKER_22 |
transcript.pyannote[3245].start |
31701.08534375 |
transcript.pyannote[3245].end |
31702.95846875 |
transcript.pyannote[3246].speaker |
SPEAKER_22 |
transcript.pyannote[3246].start |
31703.17784375 |
transcript.pyannote[3246].end |
31706.19846875 |
transcript.pyannote[3247].speaker |
SPEAKER_22 |
transcript.pyannote[3247].start |
31707.17721875 |
transcript.pyannote[3247].end |
31722.36471875 |
transcript.pyannote[3248].speaker |
SPEAKER_05 |
transcript.pyannote[3248].start |
31720.32284375 |
transcript.pyannote[3248].end |
31735.10534375 |
transcript.pyannote[3249].speaker |
SPEAKER_22 |
transcript.pyannote[3249].start |
31727.49471875 |
transcript.pyannote[3249].end |
31727.88284375 |
transcript.pyannote[3250].speaker |
SPEAKER_22 |
transcript.pyannote[3250].start |
31729.16534375 |
transcript.pyannote[3250].end |
31729.84034375 |
transcript.pyannote[3251].speaker |
SPEAKER_22 |
transcript.pyannote[3251].start |
31731.46034375 |
transcript.pyannote[3251].end |
31731.96659375 |
transcript.pyannote[3252].speaker |
SPEAKER_22 |
transcript.pyannote[3252].start |
31735.10534375 |
transcript.pyannote[3252].end |
31763.43846875 |
transcript.pyannote[3253].speaker |
SPEAKER_22 |
transcript.pyannote[3253].start |
31764.02909375 |
transcript.pyannote[3253].end |
31775.74034375 |
transcript.pyannote[3254].speaker |
SPEAKER_22 |
transcript.pyannote[3254].start |
31776.16221875 |
transcript.pyannote[3254].end |
31781.76471875 |
transcript.pyannote[3255].speaker |
SPEAKER_05 |
transcript.pyannote[3255].start |
31782.00096875 |
transcript.pyannote[3255].end |
31786.20284375 |
transcript.pyannote[3256].speaker |
SPEAKER_05 |
transcript.pyannote[3256].start |
31786.64159375 |
transcript.pyannote[3256].end |
31787.19846875 |
transcript.pyannote[3257].speaker |
SPEAKER_05 |
transcript.pyannote[3257].start |
31787.45159375 |
transcript.pyannote[3257].end |
31789.71284375 |
transcript.pyannote[3258].speaker |
SPEAKER_05 |
transcript.pyannote[3258].start |
31789.99971875 |
transcript.pyannote[3258].end |
31791.38346875 |
transcript.pyannote[3259].speaker |
SPEAKER_05 |
transcript.pyannote[3259].start |
31791.65346875 |
transcript.pyannote[3259].end |
31792.21034375 |
transcript.pyannote[3260].speaker |
SPEAKER_05 |
transcript.pyannote[3260].start |
31792.42971875 |
transcript.pyannote[3260].end |
31793.88096875 |
transcript.pyannote[3261].speaker |
SPEAKER_05 |
transcript.pyannote[3261].start |
31794.21846875 |
transcript.pyannote[3261].end |
31796.74971875 |
transcript.pyannote[3262].speaker |
SPEAKER_05 |
transcript.pyannote[3262].start |
31796.98596875 |
transcript.pyannote[3262].end |
31798.23471875 |
transcript.pyannote[3263].speaker |
SPEAKER_05 |
transcript.pyannote[3263].start |
31798.47096875 |
transcript.pyannote[3263].end |
31799.63534375 |
transcript.pyannote[3264].speaker |
SPEAKER_05 |
transcript.pyannote[3264].start |
31799.83784375 |
transcript.pyannote[3264].end |
31801.22159375 |
transcript.pyannote[3265].speaker |
SPEAKER_05 |
transcript.pyannote[3265].start |
31801.42409375 |
transcript.pyannote[3265].end |
31804.10721875 |
transcript.pyannote[3266].speaker |
SPEAKER_05 |
transcript.pyannote[3266].start |
31804.22534375 |
transcript.pyannote[3266].end |
31804.81596875 |
transcript.pyannote[3267].speaker |
SPEAKER_22 |
transcript.pyannote[3267].start |
31804.25909375 |
transcript.pyannote[3267].end |
31805.76096875 |
transcript.pyannote[3268].speaker |
SPEAKER_05 |
transcript.pyannote[3268].start |
31805.82846875 |
transcript.pyannote[3268].end |
31809.86159375 |
transcript.pyannote[3269].speaker |
SPEAKER_05 |
transcript.pyannote[3269].start |
31810.03034375 |
transcript.pyannote[3269].end |
31812.17346875 |
transcript.pyannote[3270].speaker |
SPEAKER_05 |
transcript.pyannote[3270].start |
31812.46034375 |
transcript.pyannote[3270].end |
31814.60346875 |
transcript.pyannote[3271].speaker |
SPEAKER_22 |
transcript.pyannote[3271].start |
31814.60346875 |
transcript.pyannote[3271].end |
31815.16034375 |
transcript.pyannote[3272].speaker |
SPEAKER_05 |
transcript.pyannote[3272].start |
31815.16034375 |
transcript.pyannote[3272].end |
31826.28096875 |
transcript.pyannote[3273].speaker |
SPEAKER_05 |
transcript.pyannote[3273].start |
31826.46659375 |
transcript.pyannote[3273].end |
31827.93471875 |
transcript.pyannote[3274].speaker |
SPEAKER_05 |
transcript.pyannote[3274].start |
31828.00221875 |
transcript.pyannote[3274].end |
31834.24596875 |
transcript.pyannote[3275].speaker |
SPEAKER_22 |
transcript.pyannote[3275].start |
31834.49909375 |
transcript.pyannote[3275].end |
31839.37596875 |
transcript.pyannote[3276].speaker |
SPEAKER_22 |
transcript.pyannote[3276].start |
31839.74721875 |
transcript.pyannote[3276].end |
31850.10846875 |
transcript.pyannote[3277].speaker |
SPEAKER_22 |
transcript.pyannote[3277].start |
31850.80034375 |
transcript.pyannote[3277].end |
31853.39909375 |
transcript.pyannote[3278].speaker |
SPEAKER_22 |
transcript.pyannote[3278].start |
31853.80409375 |
transcript.pyannote[3278].end |
31873.96971875 |
transcript.pyannote[3279].speaker |
SPEAKER_22 |
transcript.pyannote[3279].start |
31874.15534375 |
transcript.pyannote[3279].end |
31875.87659375 |
transcript.pyannote[3280].speaker |
SPEAKER_22 |
transcript.pyannote[3280].start |
31876.29846875 |
transcript.pyannote[3280].end |
31877.83409375 |
transcript.pyannote[3281].speaker |
SPEAKER_05 |
transcript.pyannote[3281].start |
31876.51784375 |
transcript.pyannote[3281].end |
31881.15846875 |
transcript.pyannote[3282].speaker |
SPEAKER_22 |
transcript.pyannote[3282].start |
31879.21784375 |
transcript.pyannote[3282].end |
31880.04471875 |
transcript.pyannote[3283].speaker |
SPEAKER_05 |
transcript.pyannote[3283].start |
31881.68159375 |
transcript.pyannote[3283].end |
31884.19596875 |
transcript.pyannote[3284].speaker |
SPEAKER_05 |
transcript.pyannote[3284].start |
31884.65159375 |
transcript.pyannote[3284].end |
31886.60909375 |
transcript.pyannote[3285].speaker |
SPEAKER_05 |
transcript.pyannote[3285].start |
31886.96346875 |
transcript.pyannote[3285].end |
31887.97596875 |
transcript.pyannote[3286].speaker |
SPEAKER_05 |
transcript.pyannote[3286].start |
31888.80284375 |
transcript.pyannote[3286].end |
31890.25409375 |
transcript.pyannote[3287].speaker |
SPEAKER_05 |
transcript.pyannote[3287].start |
31890.38909375 |
transcript.pyannote[3287].end |
31893.22409375 |
transcript.pyannote[3288].speaker |
SPEAKER_05 |
transcript.pyannote[3288].start |
31893.54471875 |
transcript.pyannote[3288].end |
31895.08034375 |
transcript.pyannote[3289].speaker |
SPEAKER_05 |
transcript.pyannote[3289].start |
31895.43471875 |
transcript.pyannote[3289].end |
31899.09659375 |
transcript.pyannote[3290].speaker |
SPEAKER_25 |
transcript.pyannote[3290].start |
31897.71284375 |
transcript.pyannote[3290].end |
31897.78034375 |
transcript.pyannote[3291].speaker |
SPEAKER_05 |
transcript.pyannote[3291].start |
31899.18096875 |
transcript.pyannote[3291].end |
31900.15971875 |
transcript.pyannote[3292].speaker |
SPEAKER_05 |
transcript.pyannote[3292].start |
31900.51409375 |
transcript.pyannote[3292].end |
31903.04534375 |
transcript.pyannote[3293].speaker |
SPEAKER_25 |
transcript.pyannote[3293].start |
31900.54784375 |
transcript.pyannote[3293].end |
31901.20596875 |
transcript.pyannote[3294].speaker |
SPEAKER_05 |
transcript.pyannote[3294].start |
31903.65284375 |
transcript.pyannote[3294].end |
31918.84034375 |
transcript.pyannote[3295].speaker |
SPEAKER_00 |
transcript.pyannote[3295].start |
31910.75721875 |
transcript.pyannote[3295].end |
31910.77409375 |
transcript.pyannote[3296].speaker |
SPEAKER_22 |
transcript.pyannote[3296].start |
31910.77409375 |
transcript.pyannote[3296].end |
31912.09034375 |
transcript.pyannote[3297].speaker |
SPEAKER_22 |
transcript.pyannote[3297].start |
31919.12721875 |
transcript.pyannote[3297].end |
31933.30221875 |
transcript.pyannote[3298].speaker |
SPEAKER_05 |
transcript.pyannote[3298].start |
31921.82721875 |
transcript.pyannote[3298].end |
31922.16471875 |
transcript.pyannote[3299].speaker |
SPEAKER_22 |
transcript.pyannote[3299].start |
31933.45409375 |
transcript.pyannote[3299].end |
31964.60534375 |
transcript.pyannote[3300].speaker |
SPEAKER_22 |
transcript.pyannote[3300].start |
31964.80784375 |
transcript.pyannote[3300].end |
31970.51159375 |
transcript.pyannote[3301].speaker |
SPEAKER_05 |
transcript.pyannote[3301].start |
31969.95471875 |
transcript.pyannote[3301].end |
31977.17721875 |
transcript.pyannote[3302].speaker |
SPEAKER_05 |
transcript.pyannote[3302].start |
31977.39659375 |
transcript.pyannote[3302].end |
31978.56096875 |
transcript.pyannote[3303].speaker |
SPEAKER_05 |
transcript.pyannote[3303].start |
31978.78034375 |
transcript.pyannote[3303].end |
31979.47221875 |
transcript.pyannote[3304].speaker |
SPEAKER_05 |
transcript.pyannote[3304].start |
31979.84346875 |
transcript.pyannote[3304].end |
31981.44659375 |
transcript.pyannote[3305].speaker |
SPEAKER_05 |
transcript.pyannote[3305].start |
31981.81784375 |
transcript.pyannote[3305].end |
31984.56846875 |
transcript.pyannote[3306].speaker |
SPEAKER_05 |
transcript.pyannote[3306].start |
31984.87221875 |
transcript.pyannote[3306].end |
31988.87159375 |
transcript.pyannote[3307].speaker |
SPEAKER_05 |
transcript.pyannote[3307].start |
31989.22596875 |
transcript.pyannote[3307].end |
31991.40284375 |
transcript.pyannote[3308].speaker |
SPEAKER_22 |
transcript.pyannote[3308].start |
31991.40284375 |
transcript.pyannote[3308].end |
32009.84721875 |
transcript.pyannote[3309].speaker |
SPEAKER_22 |
transcript.pyannote[3309].start |
32010.38721875 |
transcript.pyannote[3309].end |
32012.34471875 |
transcript.pyannote[3310].speaker |
SPEAKER_22 |
transcript.pyannote[3310].start |
32012.59784375 |
transcript.pyannote[3310].end |
32013.17159375 |
transcript.pyannote[3311].speaker |
SPEAKER_22 |
transcript.pyannote[3311].start |
32013.52596875 |
transcript.pyannote[3311].end |
32015.98971875 |
transcript.pyannote[3312].speaker |
SPEAKER_22 |
transcript.pyannote[3312].start |
32016.34409375 |
transcript.pyannote[3312].end |
32029.15221875 |
transcript.pyannote[3313].speaker |
SPEAKER_05 |
transcript.pyannote[3313].start |
32029.16909375 |
transcript.pyannote[3313].end |
32036.10471875 |
transcript.pyannote[3314].speaker |
SPEAKER_22 |
transcript.pyannote[3314].start |
32033.06721875 |
transcript.pyannote[3314].end |
32036.30721875 |
transcript.pyannote[3315].speaker |
SPEAKER_05 |
transcript.pyannote[3315].start |
32036.39159375 |
transcript.pyannote[3315].end |
32041.60596875 |
transcript.pyannote[3316].speaker |
SPEAKER_05 |
transcript.pyannote[3316].start |
32041.70721875 |
transcript.pyannote[3316].end |
32046.46596875 |
transcript.pyannote[3317].speaker |
SPEAKER_05 |
transcript.pyannote[3317].start |
32046.61784375 |
transcript.pyannote[3317].end |
32048.67659375 |
transcript.pyannote[3318].speaker |
SPEAKER_22 |
transcript.pyannote[3318].start |
32048.64284375 |
transcript.pyannote[3318].end |
32074.79909375 |
transcript.pyannote[3319].speaker |
SPEAKER_05 |
transcript.pyannote[3319].start |
32075.17034375 |
transcript.pyannote[3319].end |
32078.29221875 |
transcript.pyannote[3320].speaker |
SPEAKER_05 |
transcript.pyannote[3320].start |
32078.35971875 |
transcript.pyannote[3320].end |
32079.32159375 |
transcript.pyannote[3321].speaker |
SPEAKER_05 |
transcript.pyannote[3321].start |
32079.69284375 |
transcript.pyannote[3321].end |
32081.73471875 |
transcript.pyannote[3322].speaker |
SPEAKER_05 |
transcript.pyannote[3322].start |
32082.02159375 |
transcript.pyannote[3322].end |
32084.99159375 |
transcript.pyannote[3323].speaker |
SPEAKER_05 |
transcript.pyannote[3323].start |
32085.24471875 |
transcript.pyannote[3323].end |
32087.62409375 |
transcript.pyannote[3324].speaker |
SPEAKER_05 |
transcript.pyannote[3324].start |
32087.80971875 |
transcript.pyannote[3324].end |
32089.21034375 |
transcript.pyannote[3325].speaker |
SPEAKER_05 |
transcript.pyannote[3325].start |
32089.34534375 |
transcript.pyannote[3325].end |
32090.62784375 |
transcript.pyannote[3326].speaker |
SPEAKER_05 |
transcript.pyannote[3326].start |
32090.72909375 |
transcript.pyannote[3326].end |
32094.57659375 |
transcript.pyannote[3327].speaker |
SPEAKER_05 |
transcript.pyannote[3327].start |
32094.62721875 |
transcript.pyannote[3327].end |
32096.63534375 |
transcript.pyannote[3328].speaker |
SPEAKER_05 |
transcript.pyannote[3328].start |
32096.90534375 |
transcript.pyannote[3328].end |
32099.08221875 |
transcript.pyannote[3329].speaker |
SPEAKER_05 |
transcript.pyannote[3329].start |
32099.23409375 |
transcript.pyannote[3329].end |
32101.34346875 |
transcript.pyannote[3330].speaker |
SPEAKER_22 |
transcript.pyannote[3330].start |
32101.29284375 |
transcript.pyannote[3330].end |
32110.11846875 |
transcript.pyannote[3331].speaker |
SPEAKER_22 |
transcript.pyannote[3331].start |
32110.50659375 |
transcript.pyannote[3331].end |
32112.44721875 |
transcript.pyannote[3332].speaker |
SPEAKER_05 |
transcript.pyannote[3332].start |
32112.32909375 |
transcript.pyannote[3332].end |
32116.58159375 |
transcript.pyannote[3333].speaker |
SPEAKER_22 |
transcript.pyannote[3333].start |
32114.69159375 |
transcript.pyannote[3333].end |
32115.67034375 |
transcript.pyannote[3334].speaker |
SPEAKER_22 |
transcript.pyannote[3334].start |
32116.64909375 |
transcript.pyannote[3334].end |
32128.02284375 |
transcript.pyannote[3335].speaker |
SPEAKER_22 |
transcript.pyannote[3335].start |
32128.32659375 |
transcript.pyannote[3335].end |
32161.24971875 |
transcript.pyannote[3336].speaker |
SPEAKER_05 |
transcript.pyannote[3336].start |
32160.55784375 |
transcript.pyannote[3336].end |
32161.99221875 |
transcript.pyannote[3337].speaker |
SPEAKER_22 |
transcript.pyannote[3337].start |
32161.72221875 |
transcript.pyannote[3337].end |
32164.47284375 |
transcript.pyannote[3338].speaker |
SPEAKER_22 |
transcript.pyannote[3338].start |
32164.74284375 |
transcript.pyannote[3338].end |
32187.23721875 |
transcript.pyannote[3339].speaker |
SPEAKER_22 |
transcript.pyannote[3339].start |
32187.96284375 |
transcript.pyannote[3339].end |
32190.07221875 |
transcript.pyannote[3340].speaker |
SPEAKER_22 |
transcript.pyannote[3340].start |
32190.54471875 |
transcript.pyannote[3340].end |
32226.99471875 |
transcript.pyannote[3341].speaker |
SPEAKER_26 |
transcript.pyannote[3341].start |
32227.16346875 |
transcript.pyannote[3341].end |
32227.50096875 |
transcript.pyannote[3342].speaker |
SPEAKER_26 |
transcript.pyannote[3342].start |
32227.65284375 |
transcript.pyannote[3342].end |
32240.07284375 |
transcript.pyannote[3343].speaker |
SPEAKER_22 |
transcript.pyannote[3343].start |
32233.81221875 |
transcript.pyannote[3343].end |
32235.01034375 |
transcript.pyannote[3344].speaker |
SPEAKER_22 |
transcript.pyannote[3344].start |
32238.19971875 |
transcript.pyannote[3344].end |
32271.00471875 |
transcript.pyannote[3345].speaker |
SPEAKER_26 |
transcript.pyannote[3345].start |
32271.13971875 |
transcript.pyannote[3345].end |
32275.78034375 |
transcript.pyannote[3346].speaker |
SPEAKER_26 |
transcript.pyannote[3346].start |
32276.03346875 |
transcript.pyannote[3346].end |
32277.87284375 |
transcript.pyannote[3347].speaker |
SPEAKER_26 |
transcript.pyannote[3347].start |
32278.19346875 |
transcript.pyannote[3347].end |
32278.58159375 |
transcript.pyannote[3348].speaker |
SPEAKER_26 |
transcript.pyannote[3348].start |
32278.88534375 |
transcript.pyannote[3348].end |
32282.42909375 |
transcript.pyannote[3349].speaker |
SPEAKER_26 |
transcript.pyannote[3349].start |
32282.59784375 |
transcript.pyannote[3349].end |
32285.90534375 |
transcript.pyannote[3350].speaker |
SPEAKER_26 |
transcript.pyannote[3350].start |
32286.04034375 |
transcript.pyannote[3350].end |
32286.68159375 |
transcript.pyannote[3351].speaker |
SPEAKER_26 |
transcript.pyannote[3351].start |
32287.12034375 |
transcript.pyannote[3351].end |
32289.14534375 |
transcript.pyannote[3352].speaker |
SPEAKER_22 |
transcript.pyannote[3352].start |
32288.95971875 |
transcript.pyannote[3352].end |
32294.08971875 |
transcript.pyannote[3353].speaker |
SPEAKER_26 |
transcript.pyannote[3353].start |
32293.04346875 |
transcript.pyannote[3353].end |
32296.09784375 |
transcript.pyannote[3354].speaker |
SPEAKER_22 |
transcript.pyannote[3354].start |
32295.16971875 |
transcript.pyannote[3354].end |
32296.70534375 |
transcript.pyannote[3355].speaker |
SPEAKER_26 |
transcript.pyannote[3355].start |
32296.53659375 |
transcript.pyannote[3355].end |
32297.36346875 |
transcript.pyannote[3356].speaker |
SPEAKER_22 |
transcript.pyannote[3356].start |
32296.82346875 |
transcript.pyannote[3356].end |
32318.06909375 |
transcript.pyannote[3357].speaker |
SPEAKER_26 |
transcript.pyannote[3357].start |
32299.35471875 |
transcript.pyannote[3357].end |
32299.74284375 |
transcript.pyannote[3358].speaker |
SPEAKER_22 |
transcript.pyannote[3358].start |
32318.77784375 |
transcript.pyannote[3358].end |
32320.41471875 |
transcript.pyannote[3359].speaker |
SPEAKER_22 |
transcript.pyannote[3359].start |
32321.12346875 |
transcript.pyannote[3359].end |
32325.46034375 |
transcript.pyannote[3360].speaker |
SPEAKER_22 |
transcript.pyannote[3360].start |
32325.74721875 |
transcript.pyannote[3360].end |
32331.73784375 |
transcript.pyannote[3361].speaker |
SPEAKER_26 |
transcript.pyannote[3361].start |
32332.02471875 |
transcript.pyannote[3361].end |
32338.01534375 |
transcript.pyannote[3362].speaker |
SPEAKER_26 |
transcript.pyannote[3362].start |
32338.13346875 |
transcript.pyannote[3362].end |
32340.85034375 |
transcript.pyannote[3363].speaker |
SPEAKER_26 |
transcript.pyannote[3363].start |
32340.95159375 |
transcript.pyannote[3363].end |
32342.35221875 |
transcript.pyannote[3364].speaker |
SPEAKER_22 |
transcript.pyannote[3364].start |
32342.58846875 |
transcript.pyannote[3364].end |
32355.64971875 |
transcript.pyannote[3365].speaker |
SPEAKER_22 |
transcript.pyannote[3365].start |
32356.25721875 |
transcript.pyannote[3365].end |
32367.19221875 |
transcript.pyannote[3366].speaker |
SPEAKER_22 |
transcript.pyannote[3366].start |
32367.58034375 |
transcript.pyannote[3366].end |
32372.76096875 |
transcript.pyannote[3367].speaker |
SPEAKER_22 |
transcript.pyannote[3367].start |
32373.01409375 |
transcript.pyannote[3367].end |
32384.38784375 |
transcript.pyannote[3368].speaker |
SPEAKER_22 |
transcript.pyannote[3368].start |
32384.77596875 |
transcript.pyannote[3368].end |
32385.53534375 |
transcript.pyannote[3369].speaker |
SPEAKER_22 |
transcript.pyannote[3369].start |
32385.63659375 |
transcript.pyannote[3369].end |
32393.02784375 |
transcript.pyannote[3370].speaker |
SPEAKER_05 |
transcript.pyannote[3370].start |
32393.68596875 |
transcript.pyannote[3370].end |
32397.02721875 |
transcript.pyannote[3371].speaker |
SPEAKER_05 |
transcript.pyannote[3371].start |
32397.06096875 |
transcript.pyannote[3371].end |
32398.63034375 |
transcript.pyannote[3372].speaker |
SPEAKER_05 |
transcript.pyannote[3372].start |
32399.08596875 |
transcript.pyannote[3372].end |
32399.38971875 |
transcript.pyannote[3373].speaker |
SPEAKER_05 |
transcript.pyannote[3373].start |
32399.59221875 |
transcript.pyannote[3373].end |
32402.78159375 |
transcript.pyannote[3374].speaker |
SPEAKER_05 |
transcript.pyannote[3374].start |
32403.08534375 |
transcript.pyannote[3374].end |
32404.60409375 |
transcript.pyannote[3375].speaker |
SPEAKER_05 |
transcript.pyannote[3375].start |
32404.82346875 |
transcript.pyannote[3375].end |
32406.76409375 |
transcript.pyannote[3376].speaker |
SPEAKER_05 |
transcript.pyannote[3376].start |
32406.88221875 |
transcript.pyannote[3376].end |
32408.26596875 |
transcript.pyannote[3377].speaker |
SPEAKER_05 |
transcript.pyannote[3377].start |
32408.38409375 |
transcript.pyannote[3377].end |
32409.58221875 |
transcript.pyannote[3378].speaker |
SPEAKER_05 |
transcript.pyannote[3378].start |
32409.83534375 |
transcript.pyannote[3378].end |
32410.76346875 |
transcript.pyannote[3379].speaker |
SPEAKER_05 |
transcript.pyannote[3379].start |
32410.86471875 |
transcript.pyannote[3379].end |
32412.53534375 |
transcript.pyannote[3380].speaker |
SPEAKER_05 |
transcript.pyannote[3380].start |
32412.80534375 |
transcript.pyannote[3380].end |
32416.07909375 |
transcript.pyannote[3381].speaker |
SPEAKER_22 |
transcript.pyannote[3381].start |
32415.28596875 |
transcript.pyannote[3381].end |
32429.14034375 |
transcript.pyannote[3382].speaker |
SPEAKER_05 |
transcript.pyannote[3382].start |
32416.77096875 |
transcript.pyannote[3382].end |
32416.97346875 |
transcript.pyannote[3383].speaker |
SPEAKER_05 |
transcript.pyannote[3383].start |
32425.36034375 |
transcript.pyannote[3383].end |
32425.78221875 |
transcript.pyannote[3384].speaker |
SPEAKER_05 |
transcript.pyannote[3384].start |
32427.04784375 |
transcript.pyannote[3384].end |
32428.38096875 |
transcript.pyannote[3385].speaker |
SPEAKER_05 |
transcript.pyannote[3385].start |
32429.05596875 |
transcript.pyannote[3385].end |
32433.02159375 |
transcript.pyannote[3386].speaker |
SPEAKER_05 |
transcript.pyannote[3386].start |
32433.10596875 |
transcript.pyannote[3386].end |
32437.10534375 |
transcript.pyannote[3387].speaker |
SPEAKER_22 |
transcript.pyannote[3387].start |
32436.41346875 |
transcript.pyannote[3387].end |
32468.96534375 |
transcript.pyannote[3388].speaker |
SPEAKER_05 |
transcript.pyannote[3388].start |
32438.06721875 |
transcript.pyannote[3388].end |
32438.75909375 |
transcript.pyannote[3389].speaker |
SPEAKER_22 |
transcript.pyannote[3389].start |
32470.11284375 |
transcript.pyannote[3389].end |
32470.99034375 |
transcript.pyannote[3390].speaker |
SPEAKER_14 |
transcript.pyannote[3390].start |
32470.99034375 |
transcript.pyannote[3390].end |
32473.06596875 |
transcript.pyannote[3391].speaker |
SPEAKER_14 |
transcript.pyannote[3391].start |
32473.40346875 |
transcript.pyannote[3391].end |
32479.81596875 |
transcript.pyannote[3392].speaker |
SPEAKER_05 |
transcript.pyannote[3392].start |
32479.81596875 |
transcript.pyannote[3392].end |
32479.86659375 |
transcript.pyannote[3393].speaker |
SPEAKER_22 |
transcript.pyannote[3393].start |
32480.13659375 |
transcript.pyannote[3393].end |
32482.46534375 |
transcript.pyannote[3394].speaker |
SPEAKER_05 |
transcript.pyannote[3394].start |
32482.02659375 |
transcript.pyannote[3394].end |
32487.89909375 |
transcript.pyannote[3395].speaker |
SPEAKER_22 |
transcript.pyannote[3395].start |
32486.75159375 |
transcript.pyannote[3395].end |
32502.24284375 |
transcript.pyannote[3396].speaker |
SPEAKER_28 |
transcript.pyannote[3396].start |
32507.27159375 |
transcript.pyannote[3396].end |
32514.42659375 |
transcript.pyannote[3397].speaker |
SPEAKER_07 |
transcript.pyannote[3397].start |
32524.80471875 |
transcript.pyannote[3397].end |
32527.31909375 |
transcript.pyannote[3398].speaker |
SPEAKER_28 |
transcript.pyannote[3398].start |
32527.69034375 |
transcript.pyannote[3398].end |
32529.04034375 |
transcript.pyannote[3399].speaker |
SPEAKER_07 |
transcript.pyannote[3399].start |
32538.23721875 |
transcript.pyannote[3399].end |
32539.03034375 |
transcript.pyannote[3400].speaker |
SPEAKER_25 |
transcript.pyannote[3400].start |
32538.52409375 |
transcript.pyannote[3400].end |
32539.24971875 |
transcript.pyannote[3401].speaker |
SPEAKER_07 |
transcript.pyannote[3401].start |
32540.31284375 |
transcript.pyannote[3401].end |
32541.13971875 |
transcript.pyannote[3402].speaker |
SPEAKER_07 |
transcript.pyannote[3402].start |
32541.91596875 |
transcript.pyannote[3402].end |
32550.80909375 |
transcript.pyannote[3403].speaker |
SPEAKER_07 |
transcript.pyannote[3403].start |
32551.16346875 |
transcript.pyannote[3403].end |
32556.47909375 |
transcript.pyannote[3404].speaker |
SPEAKER_07 |
transcript.pyannote[3404].start |
32557.00221875 |
transcript.pyannote[3404].end |
32563.66784375 |
transcript.pyannote[3405].speaker |
SPEAKER_05 |
transcript.pyannote[3405].start |
32564.10659375 |
transcript.pyannote[3405].end |
32564.54534375 |
transcript.pyannote[3406].speaker |
SPEAKER_07 |
transcript.pyannote[3406].start |
32564.81534375 |
transcript.pyannote[3406].end |
32571.09284375 |
transcript.pyannote[3407].speaker |
SPEAKER_07 |
transcript.pyannote[3407].start |
32572.02096875 |
transcript.pyannote[3407].end |
32575.51409375 |
transcript.pyannote[3408].speaker |
SPEAKER_05 |
transcript.pyannote[3408].start |
32572.05471875 |
transcript.pyannote[3408].end |
32572.71284375 |
transcript.pyannote[3409].speaker |
SPEAKER_07 |
transcript.pyannote[3409].start |
32576.15534375 |
transcript.pyannote[3409].end |
32577.33659375 |
transcript.pyannote[3410].speaker |
SPEAKER_07 |
transcript.pyannote[3410].start |
32577.75846875 |
transcript.pyannote[3410].end |
32579.07471875 |
transcript.pyannote[3411].speaker |
SPEAKER_07 |
transcript.pyannote[3411].start |
32579.37846875 |
transcript.pyannote[3411].end |
32580.35721875 |
transcript.pyannote[3412].speaker |
SPEAKER_05 |
transcript.pyannote[3412].start |
32579.64846875 |
transcript.pyannote[3412].end |
32579.66534375 |
transcript.pyannote[3413].speaker |
SPEAKER_05 |
transcript.pyannote[3413].start |
32580.44159375 |
transcript.pyannote[3413].end |
32581.40346875 |
transcript.pyannote[3414].speaker |
SPEAKER_05 |
transcript.pyannote[3414].start |
32581.63971875 |
transcript.pyannote[3414].end |
32582.33159375 |
transcript.pyannote[3415].speaker |
SPEAKER_05 |
transcript.pyannote[3415].start |
32583.19221875 |
transcript.pyannote[3415].end |
32585.03159375 |
transcript.pyannote[3416].speaker |
SPEAKER_05 |
transcript.pyannote[3416].start |
32585.08221875 |
transcript.pyannote[3416].end |
32589.43596875 |
transcript.pyannote[3417].speaker |
SPEAKER_05 |
transcript.pyannote[3417].start |
32589.67221875 |
transcript.pyannote[3417].end |
32591.62971875 |
transcript.pyannote[3418].speaker |
SPEAKER_05 |
transcript.pyannote[3418].start |
32591.96721875 |
transcript.pyannote[3418].end |
32593.30034375 |
transcript.pyannote[3419].speaker |
SPEAKER_05 |
transcript.pyannote[3419].start |
32593.62096875 |
transcript.pyannote[3419].end |
32596.01721875 |
transcript.pyannote[3420].speaker |
SPEAKER_05 |
transcript.pyannote[3420].start |
32596.33784375 |
transcript.pyannote[3420].end |
32597.40096875 |
transcript.pyannote[3421].speaker |
SPEAKER_05 |
transcript.pyannote[3421].start |
32597.50221875 |
transcript.pyannote[3421].end |
32599.12221875 |
transcript.pyannote[3422].speaker |
SPEAKER_05 |
transcript.pyannote[3422].start |
32599.20659375 |
transcript.pyannote[3422].end |
32600.20221875 |
transcript.pyannote[3423].speaker |
SPEAKER_05 |
transcript.pyannote[3423].start |
32600.43846875 |
transcript.pyannote[3423].end |
32601.97409375 |
transcript.pyannote[3424].speaker |
SPEAKER_05 |
transcript.pyannote[3424].start |
32602.19346875 |
transcript.pyannote[3424].end |
32604.64034375 |
transcript.pyannote[3425].speaker |
SPEAKER_05 |
transcript.pyannote[3425].start |
32604.80909375 |
transcript.pyannote[3425].end |
32605.23096875 |
transcript.pyannote[3426].speaker |
SPEAKER_05 |
transcript.pyannote[3426].start |
32605.72034375 |
transcript.pyannote[3426].end |
32608.20096875 |
transcript.pyannote[3427].speaker |
SPEAKER_05 |
transcript.pyannote[3427].start |
32608.26846875 |
transcript.pyannote[3427].end |
32609.11221875 |
transcript.pyannote[3428].speaker |
SPEAKER_05 |
transcript.pyannote[3428].start |
32609.83784375 |
transcript.pyannote[3428].end |
32611.74471875 |
transcript.pyannote[3429].speaker |
SPEAKER_05 |
transcript.pyannote[3429].start |
32612.01471875 |
transcript.pyannote[3429].end |
32613.53346875 |
transcript.pyannote[3430].speaker |
SPEAKER_05 |
transcript.pyannote[3430].start |
32613.88784375 |
transcript.pyannote[3430].end |
32615.50784375 |
transcript.pyannote[3431].speaker |
SPEAKER_05 |
transcript.pyannote[3431].start |
32615.84534375 |
transcript.pyannote[3431].end |
32619.94596875 |
transcript.pyannote[3432].speaker |
SPEAKER_05 |
transcript.pyannote[3432].start |
32620.21596875 |
transcript.pyannote[3432].end |
32622.44346875 |
transcript.pyannote[3433].speaker |
SPEAKER_05 |
transcript.pyannote[3433].start |
32622.66284375 |
transcript.pyannote[3433].end |
32626.45971875 |
transcript.pyannote[3434].speaker |
SPEAKER_05 |
transcript.pyannote[3434].start |
32626.94909375 |
transcript.pyannote[3434].end |
32645.46096875 |
transcript.pyannote[3435].speaker |
SPEAKER_07 |
transcript.pyannote[3435].start |
32645.46096875 |
transcript.pyannote[3435].end |
32654.11784375 |
transcript.pyannote[3436].speaker |
SPEAKER_05 |
transcript.pyannote[3436].start |
32654.05034375 |
transcript.pyannote[3436].end |
32654.84346875 |
transcript.pyannote[3437].speaker |
SPEAKER_07 |
transcript.pyannote[3437].start |
32654.21909375 |
transcript.pyannote[3437].end |
32659.01159375 |
transcript.pyannote[3438].speaker |
SPEAKER_05 |
transcript.pyannote[3438].start |
32659.06221875 |
transcript.pyannote[3438].end |
32662.84221875 |
transcript.pyannote[3439].speaker |
SPEAKER_05 |
transcript.pyannote[3439].start |
32663.17971875 |
transcript.pyannote[3439].end |
32664.95159375 |
transcript.pyannote[3440].speaker |
SPEAKER_07 |
transcript.pyannote[3440].start |
32663.28096875 |
transcript.pyannote[3440].end |
32663.53409375 |
transcript.pyannote[3441].speaker |
SPEAKER_07 |
transcript.pyannote[3441].start |
32665.25534375 |
transcript.pyannote[3441].end |
32676.02159375 |
transcript.pyannote[3442].speaker |
SPEAKER_05 |
transcript.pyannote[3442].start |
32676.02159375 |
transcript.pyannote[3442].end |
32683.21034375 |
transcript.pyannote[3443].speaker |
SPEAKER_07 |
transcript.pyannote[3443].start |
32681.42159375 |
transcript.pyannote[3443].end |
32686.53471875 |
transcript.pyannote[3444].speaker |
SPEAKER_05 |
transcript.pyannote[3444].start |
32685.33659375 |
transcript.pyannote[3444].end |
32690.46659375 |
transcript.pyannote[3445].speaker |
SPEAKER_07 |
transcript.pyannote[3445].start |
32690.58471875 |
transcript.pyannote[3445].end |
32690.98971875 |
transcript.pyannote[3446].speaker |
SPEAKER_05 |
transcript.pyannote[3446].start |
32690.97284375 |
transcript.pyannote[3446].end |
32692.69409375 |
transcript.pyannote[3447].speaker |
SPEAKER_25 |
transcript.pyannote[3447].start |
32690.98971875 |
transcript.pyannote[3447].end |
32691.04034375 |
transcript.pyannote[3448].speaker |
SPEAKER_05 |
transcript.pyannote[3448].start |
32692.72784375 |
transcript.pyannote[3448].end |
32693.52096875 |
transcript.pyannote[3449].speaker |
SPEAKER_05 |
transcript.pyannote[3449].start |
32693.84159375 |
transcript.pyannote[3449].end |
32696.89596875 |
transcript.pyannote[3450].speaker |
SPEAKER_05 |
transcript.pyannote[3450].start |
32697.21659375 |
transcript.pyannote[3450].end |
32698.66784375 |
transcript.pyannote[3451].speaker |
SPEAKER_07 |
transcript.pyannote[3451].start |
32699.15721875 |
transcript.pyannote[3451].end |
32707.40909375 |
transcript.pyannote[3452].speaker |
SPEAKER_05 |
transcript.pyannote[3452].start |
32708.43846875 |
transcript.pyannote[3452].end |
32709.88971875 |
transcript.pyannote[3453].speaker |
SPEAKER_05 |
transcript.pyannote[3453].start |
32710.36221875 |
transcript.pyannote[3453].end |
32711.81346875 |
transcript.pyannote[3454].speaker |
SPEAKER_07 |
transcript.pyannote[3454].start |
32710.36221875 |
transcript.pyannote[3454].end |
32712.87659375 |
transcript.pyannote[3455].speaker |
SPEAKER_05 |
transcript.pyannote[3455].start |
32712.48846875 |
transcript.pyannote[3455].end |
32716.36971875 |
transcript.pyannote[3456].speaker |
SPEAKER_07 |
transcript.pyannote[3456].start |
32715.18846875 |
transcript.pyannote[3456].end |
32718.31034375 |
transcript.pyannote[3457].speaker |
SPEAKER_07 |
transcript.pyannote[3457].start |
32718.39471875 |
transcript.pyannote[3457].end |
32718.46221875 |
transcript.pyannote[3458].speaker |
SPEAKER_05 |
transcript.pyannote[3458].start |
32718.46221875 |
transcript.pyannote[3458].end |
32723.11971875 |
transcript.pyannote[3459].speaker |
SPEAKER_07 |
transcript.pyannote[3459].start |
32721.24659375 |
transcript.pyannote[3459].end |
32722.57971875 |
transcript.pyannote[3460].speaker |
SPEAKER_07 |
transcript.pyannote[3460].start |
32723.59221875 |
transcript.pyannote[3460].end |
32729.76846875 |
transcript.pyannote[3461].speaker |
SPEAKER_05 |
transcript.pyannote[3461].start |
32724.99284375 |
transcript.pyannote[3461].end |
32725.33034375 |
transcript.pyannote[3462].speaker |
SPEAKER_07 |
transcript.pyannote[3462].start |
32730.12284375 |
transcript.pyannote[3462].end |
32744.56784375 |
transcript.pyannote[3463].speaker |
SPEAKER_07 |
transcript.pyannote[3463].start |
32745.31034375 |
transcript.pyannote[3463].end |
32753.54534375 |
transcript.pyannote[3464].speaker |
SPEAKER_07 |
transcript.pyannote[3464].start |
32753.83221875 |
transcript.pyannote[3464].end |
32755.62096875 |
transcript.pyannote[3465].speaker |
SPEAKER_07 |
transcript.pyannote[3465].start |
32755.85721875 |
transcript.pyannote[3465].end |
32756.63346875 |
transcript.pyannote[3466].speaker |
SPEAKER_05 |
transcript.pyannote[3466].start |
32757.10596875 |
transcript.pyannote[3466].end |
32757.88221875 |
transcript.pyannote[3467].speaker |
SPEAKER_07 |
transcript.pyannote[3467].start |
32758.08471875 |
transcript.pyannote[3467].end |
32758.72596875 |
transcript.pyannote[3468].speaker |
SPEAKER_05 |
transcript.pyannote[3468].start |
32759.50221875 |
transcript.pyannote[3468].end |
32761.78034375 |
transcript.pyannote[3469].speaker |
SPEAKER_05 |
transcript.pyannote[3469].start |
32761.99971875 |
transcript.pyannote[3469].end |
32765.27346875 |
transcript.pyannote[3470].speaker |
SPEAKER_05 |
transcript.pyannote[3470].start |
32765.66159375 |
transcript.pyannote[3470].end |
32766.55596875 |
transcript.pyannote[3471].speaker |
SPEAKER_05 |
transcript.pyannote[3471].start |
32770.55534375 |
transcript.pyannote[3471].end |
32771.41596875 |
transcript.pyannote[3472].speaker |
SPEAKER_05 |
transcript.pyannote[3472].start |
32771.65221875 |
transcript.pyannote[3472].end |
32772.25971875 |
transcript.pyannote[3473].speaker |
SPEAKER_05 |
transcript.pyannote[3473].start |
32772.96846875 |
transcript.pyannote[3473].end |
32775.22971875 |
transcript.pyannote[3474].speaker |
SPEAKER_05 |
transcript.pyannote[3474].start |
32775.28034375 |
transcript.pyannote[3474].end |
32778.57096875 |
transcript.pyannote[3475].speaker |
SPEAKER_05 |
transcript.pyannote[3475].start |
32779.00971875 |
transcript.pyannote[3475].end |
32782.03034375 |
transcript.pyannote[3476].speaker |
SPEAKER_07 |
transcript.pyannote[3476].start |
32782.26659375 |
transcript.pyannote[3476].end |
32793.80909375 |
transcript.pyannote[3477].speaker |
SPEAKER_05 |
transcript.pyannote[3477].start |
32782.68846875 |
transcript.pyannote[3477].end |
32783.56596875 |
transcript.pyannote[3478].speaker |
SPEAKER_05 |
transcript.pyannote[3478].start |
32793.15096875 |
transcript.pyannote[3478].end |
32797.43721875 |
transcript.pyannote[3479].speaker |
SPEAKER_05 |
transcript.pyannote[3479].start |
32797.80846875 |
transcript.pyannote[3479].end |
32802.09471875 |
transcript.pyannote[3480].speaker |
SPEAKER_05 |
transcript.pyannote[3480].start |
32802.68534375 |
transcript.pyannote[3480].end |
32804.13659375 |
transcript.pyannote[3481].speaker |
SPEAKER_07 |
transcript.pyannote[3481].start |
32802.70221875 |
transcript.pyannote[3481].end |
32804.64284375 |
transcript.pyannote[3482].speaker |
SPEAKER_05 |
transcript.pyannote[3482].start |
32804.55846875 |
transcript.pyannote[3482].end |
32804.86221875 |
transcript.pyannote[3483].speaker |
SPEAKER_07 |
transcript.pyannote[3483].start |
32804.86221875 |
transcript.pyannote[3483].end |
32806.17846875 |
transcript.pyannote[3484].speaker |
SPEAKER_05 |
transcript.pyannote[3484].start |
32805.92534375 |
transcript.pyannote[3484].end |
32810.44784375 |
transcript.pyannote[3485].speaker |
SPEAKER_07 |
transcript.pyannote[3485].start |
32807.66346875 |
transcript.pyannote[3485].end |
32808.32159375 |
transcript.pyannote[3486].speaker |
SPEAKER_06 |
transcript.pyannote[3486].start |
32808.32159375 |
transcript.pyannote[3486].end |
32808.37221875 |
transcript.pyannote[3487].speaker |
SPEAKER_07 |
transcript.pyannote[3487].start |
32808.37221875 |
transcript.pyannote[3487].end |
32808.40596875 |
transcript.pyannote[3488].speaker |
SPEAKER_07 |
transcript.pyannote[3488].start |
32808.54096875 |
transcript.pyannote[3488].end |
32810.11034375 |
transcript.pyannote[3489].speaker |
SPEAKER_06 |
transcript.pyannote[3489].start |
32810.11034375 |
transcript.pyannote[3489].end |
32810.12721875 |
transcript.pyannote[3490].speaker |
SPEAKER_07 |
transcript.pyannote[3490].start |
32810.44784375 |
transcript.pyannote[3490].end |
32811.79784375 |
transcript.pyannote[3491].speaker |
SPEAKER_06 |
transcript.pyannote[3491].start |
32811.79784375 |
transcript.pyannote[3491].end |
32842.29096875 |
transcript.pyannote[3492].speaker |
SPEAKER_07 |
transcript.pyannote[3492].start |
32821.93971875 |
transcript.pyannote[3492].end |
32823.13784375 |
transcript.pyannote[3493].speaker |
SPEAKER_07 |
transcript.pyannote[3493].start |
32834.56221875 |
transcript.pyannote[3493].end |
32835.94596875 |
transcript.pyannote[3494].speaker |
SPEAKER_07 |
transcript.pyannote[3494].start |
32840.04659375 |
transcript.pyannote[3494].end |
32847.11721875 |
transcript.pyannote[3495].speaker |
SPEAKER_06 |
transcript.pyannote[3495].start |
32847.30284375 |
transcript.pyannote[3495].end |
32852.70284375 |
transcript.pyannote[3496].speaker |
SPEAKER_07 |
transcript.pyannote[3496].start |
32853.12471875 |
transcript.pyannote[3496].end |
32868.34596875 |
transcript.pyannote[3497].speaker |
SPEAKER_05 |
transcript.pyannote[3497].start |
32869.07159375 |
transcript.pyannote[3497].end |
32869.86471875 |
transcript.pyannote[3498].speaker |
SPEAKER_05 |
transcript.pyannote[3498].start |
32870.30346875 |
transcript.pyannote[3498].end |
32872.19346875 |
transcript.pyannote[3499].speaker |
SPEAKER_05 |
transcript.pyannote[3499].start |
32872.58159375 |
transcript.pyannote[3499].end |
32878.75784375 |
transcript.pyannote[3500].speaker |
SPEAKER_27 |
transcript.pyannote[3500].start |
32876.95221875 |
transcript.pyannote[3500].end |
32879.46659375 |
transcript.pyannote[3501].speaker |
SPEAKER_27 |
transcript.pyannote[3501].start |
32880.32721875 |
transcript.pyannote[3501].end |
32882.11596875 |
transcript.pyannote[3502].speaker |
SPEAKER_27 |
transcript.pyannote[3502].start |
32882.16659375 |
transcript.pyannote[3502].end |
32882.65596875 |
transcript.pyannote[3503].speaker |
SPEAKER_27 |
transcript.pyannote[3503].start |
32882.74034375 |
transcript.pyannote[3503].end |
32885.37284375 |
transcript.pyannote[3504].speaker |
SPEAKER_27 |
transcript.pyannote[3504].start |
32885.81159375 |
transcript.pyannote[3504].end |
32889.23721875 |
transcript.pyannote[3505].speaker |
SPEAKER_25 |
transcript.pyannote[3505].start |
32889.47346875 |
transcript.pyannote[3505].end |
32890.01346875 |
transcript.pyannote[3506].speaker |
SPEAKER_27 |
transcript.pyannote[3506].start |
32890.01346875 |
transcript.pyannote[3506].end |
32893.97909375 |
transcript.pyannote[3507].speaker |
SPEAKER_27 |
transcript.pyannote[3507].start |
32894.24909375 |
transcript.pyannote[3507].end |
32897.86034375 |
transcript.pyannote[3508].speaker |
SPEAKER_07 |
transcript.pyannote[3508].start |
32896.13909375 |
transcript.pyannote[3508].end |
32896.57784375 |
transcript.pyannote[3509].speaker |
SPEAKER_07 |
transcript.pyannote[3509].start |
32897.75909375 |
transcript.pyannote[3509].end |
32905.16721875 |
transcript.pyannote[3510].speaker |
SPEAKER_07 |
transcript.pyannote[3510].start |
32905.47096875 |
transcript.pyannote[3510].end |
32910.73596875 |
transcript.pyannote[3511].speaker |
SPEAKER_07 |
transcript.pyannote[3511].start |
32910.90471875 |
transcript.pyannote[3511].end |
32913.30096875 |
transcript.pyannote[3512].speaker |
SPEAKER_07 |
transcript.pyannote[3512].start |
32914.41471875 |
transcript.pyannote[3512].end |
32916.28784375 |
transcript.pyannote[3513].speaker |
SPEAKER_07 |
transcript.pyannote[3513].start |
32916.86159375 |
transcript.pyannote[3513].end |
32920.21971875 |
transcript.pyannote[3514].speaker |
SPEAKER_07 |
transcript.pyannote[3514].start |
32920.75971875 |
transcript.pyannote[3514].end |
32924.65784375 |
transcript.pyannote[3515].speaker |
SPEAKER_27 |
transcript.pyannote[3515].start |
32925.56909375 |
transcript.pyannote[3515].end |
32927.44221875 |
transcript.pyannote[3516].speaker |
SPEAKER_07 |
transcript.pyannote[3516].start |
32927.98221875 |
transcript.pyannote[3516].end |
32931.00284375 |
transcript.pyannote[3517].speaker |
SPEAKER_07 |
transcript.pyannote[3517].start |
32931.44159375 |
transcript.pyannote[3517].end |
32933.60159375 |
transcript.pyannote[3518].speaker |
SPEAKER_27 |
transcript.pyannote[3518].start |
32933.28096875 |
transcript.pyannote[3518].end |
32933.38221875 |
transcript.pyannote[3519].speaker |
SPEAKER_27 |
transcript.pyannote[3519].start |
32933.60159375 |
transcript.pyannote[3519].end |
32933.95596875 |
transcript.pyannote[3520].speaker |
SPEAKER_07 |
transcript.pyannote[3520].start |
32934.22596875 |
transcript.pyannote[3520].end |
32942.42721875 |
transcript.pyannote[3521].speaker |
SPEAKER_07 |
transcript.pyannote[3521].start |
32943.05159375 |
transcript.pyannote[3521].end |
32943.69284375 |
transcript.pyannote[3522].speaker |
SPEAKER_07 |
transcript.pyannote[3522].start |
32943.99659375 |
transcript.pyannote[3522].end |
32948.95784375 |
transcript.pyannote[3523].speaker |
SPEAKER_07 |
transcript.pyannote[3523].start |
32949.63284375 |
transcript.pyannote[3523].end |
32966.05221875 |
transcript.pyannote[3524].speaker |
SPEAKER_06 |
transcript.pyannote[3524].start |
32967.95909375 |
transcript.pyannote[3524].end |
32979.51846875 |
transcript.pyannote[3525].speaker |
SPEAKER_07 |
transcript.pyannote[3525].start |
32968.00971875 |
transcript.pyannote[3525].end |
32968.36409375 |
transcript.pyannote[3526].speaker |
SPEAKER_09 |
transcript.pyannote[3526].start |
32973.52784375 |
transcript.pyannote[3526].end |
32973.98346875 |
transcript.pyannote[3527].speaker |
SPEAKER_06 |
transcript.pyannote[3527].start |
32979.80534375 |
transcript.pyannote[3527].end |
32984.68221875 |
transcript.pyannote[3528].speaker |
SPEAKER_06 |
transcript.pyannote[3528].start |
32985.18846875 |
transcript.pyannote[3528].end |
32993.25471875 |
transcript.pyannote[3529].speaker |
SPEAKER_07 |
transcript.pyannote[3529].start |
32993.35596875 |
transcript.pyannote[3529].end |
32999.63346875 |
transcript.pyannote[3530].speaker |
SPEAKER_06 |
transcript.pyannote[3530].start |
32995.61721875 |
transcript.pyannote[3530].end |
32996.61284375 |
transcript.pyannote[3531].speaker |
SPEAKER_07 |
transcript.pyannote[3531].start |
32999.95409375 |
transcript.pyannote[3531].end |
33017.53784375 |
transcript.pyannote[3532].speaker |
SPEAKER_05 |
transcript.pyannote[3532].start |
33018.87096875 |
transcript.pyannote[3532].end |
33019.05659375 |
transcript.pyannote[3533].speaker |
SPEAKER_05 |
transcript.pyannote[3533].start |
33019.24221875 |
transcript.pyannote[3533].end |
33022.02659375 |
transcript.pyannote[3534].speaker |
SPEAKER_05 |
transcript.pyannote[3534].start |
33022.48221875 |
transcript.pyannote[3534].end |
33026.59971875 |
transcript.pyannote[3535].speaker |
SPEAKER_07 |
transcript.pyannote[3535].start |
33024.15284375 |
transcript.pyannote[3535].end |
33036.97784375 |
transcript.pyannote[3536].speaker |
SPEAKER_06 |
transcript.pyannote[3536].start |
33037.95659375 |
transcript.pyannote[3536].end |
33043.86284375 |
transcript.pyannote[3537].speaker |
SPEAKER_07 |
transcript.pyannote[3537].start |
33044.09909375 |
transcript.pyannote[3537].end |
33052.50284375 |
transcript.pyannote[3538].speaker |
SPEAKER_07 |
transcript.pyannote[3538].start |
33053.05971875 |
transcript.pyannote[3538].end |
33060.11346875 |
transcript.pyannote[3539].speaker |
SPEAKER_07 |
transcript.pyannote[3539].start |
33061.19346875 |
transcript.pyannote[3539].end |
33063.92721875 |
transcript.pyannote[3540].speaker |
SPEAKER_05 |
transcript.pyannote[3540].start |
33062.15534375 |
transcript.pyannote[3540].end |
33062.56034375 |
transcript.pyannote[3541].speaker |
SPEAKER_05 |
transcript.pyannote[3541].start |
33063.77534375 |
transcript.pyannote[3541].end |
33063.82596875 |
transcript.pyannote[3542].speaker |
SPEAKER_07 |
transcript.pyannote[3542].start |
33064.38284375 |
transcript.pyannote[3542].end |
33065.76659375 |
transcript.pyannote[3543].speaker |
SPEAKER_05 |
transcript.pyannote[3543].start |
33065.39534375 |
transcript.pyannote[3543].end |
33070.60971875 |
transcript.pyannote[3544].speaker |
SPEAKER_07 |
transcript.pyannote[3544].start |
33071.04846875 |
transcript.pyannote[3544].end |
33073.22534375 |
transcript.pyannote[3545].speaker |
SPEAKER_07 |
transcript.pyannote[3545].start |
33073.44471875 |
transcript.pyannote[3545].end |
33075.84096875 |
transcript.pyannote[3546].speaker |
SPEAKER_14 |
transcript.pyannote[3546].start |
33075.01409375 |
transcript.pyannote[3546].end |
33075.75659375 |
transcript.pyannote[3547].speaker |
SPEAKER_14 |
transcript.pyannote[3547].start |
33076.09409375 |
transcript.pyannote[3547].end |
33098.90909375 |
transcript.pyannote[3548].speaker |
SPEAKER_07 |
transcript.pyannote[3548].start |
33099.01034375 |
transcript.pyannote[3548].end |
33099.51659375 |
transcript.pyannote[3549].speaker |
SPEAKER_07 |
transcript.pyannote[3549].start |
33099.75284375 |
transcript.pyannote[3549].end |
33102.36846875 |
transcript.pyannote[3550].speaker |
SPEAKER_07 |
transcript.pyannote[3550].start |
33102.94221875 |
transcript.pyannote[3550].end |
33104.79846875 |
transcript.pyannote[3551].speaker |
SPEAKER_07 |
transcript.pyannote[3551].start |
33105.30471875 |
transcript.pyannote[3551].end |
33106.43534375 |
transcript.pyannote[3552].speaker |
SPEAKER_07 |
transcript.pyannote[3552].start |
33106.84034375 |
transcript.pyannote[3552].end |
33110.82284375 |
transcript.pyannote[3553].speaker |
SPEAKER_07 |
transcript.pyannote[3553].start |
33111.81846875 |
transcript.pyannote[3553].end |
33112.34159375 |
transcript.pyannote[3554].speaker |
SPEAKER_07 |
transcript.pyannote[3554].start |
33112.71284375 |
transcript.pyannote[3554].end |
33113.92784375 |
transcript.pyannote[3555].speaker |
SPEAKER_07 |
transcript.pyannote[3555].start |
33114.18096875 |
transcript.pyannote[3555].end |
33123.86721875 |
transcript.pyannote[3556].speaker |
SPEAKER_07 |
transcript.pyannote[3556].start |
33124.49159375 |
transcript.pyannote[3556].end |
33127.71471875 |
transcript.pyannote[3557].speaker |
SPEAKER_07 |
transcript.pyannote[3557].start |
33128.25471875 |
transcript.pyannote[3557].end |
33132.23721875 |
transcript.pyannote[3558].speaker |
SPEAKER_07 |
transcript.pyannote[3558].start |
33132.69284375 |
transcript.pyannote[3558].end |
33139.08846875 |
transcript.pyannote[3559].speaker |
SPEAKER_07 |
transcript.pyannote[3559].start |
33139.86471875 |
transcript.pyannote[3559].end |
33149.53409375 |
transcript.pyannote[3560].speaker |
SPEAKER_02 |
transcript.pyannote[3560].start |
33149.97284375 |
transcript.pyannote[3560].end |
33153.17909375 |
transcript.pyannote[3561].speaker |
SPEAKER_02 |
transcript.pyannote[3561].start |
33153.66846875 |
transcript.pyannote[3561].end |
33154.61346875 |
transcript.pyannote[3562].speaker |
SPEAKER_02 |
transcript.pyannote[3562].start |
33154.93409375 |
transcript.pyannote[3562].end |
33155.76096875 |
transcript.pyannote[3563].speaker |
SPEAKER_02 |
transcript.pyannote[3563].start |
33156.41909375 |
transcript.pyannote[3563].end |
33157.76909375 |
transcript.pyannote[3564].speaker |
SPEAKER_02 |
transcript.pyannote[3564].start |
33158.00534375 |
transcript.pyannote[3564].end |
33158.03909375 |
transcript.pyannote[3565].speaker |
SPEAKER_25 |
transcript.pyannote[3565].start |
33158.03909375 |
transcript.pyannote[3565].end |
33158.29221875 |
transcript.pyannote[3566].speaker |
SPEAKER_02 |
transcript.pyannote[3566].start |
33158.29221875 |
transcript.pyannote[3566].end |
33162.10596875 |
transcript.pyannote[3567].speaker |
SPEAKER_25 |
transcript.pyannote[3567].start |
33162.46034375 |
transcript.pyannote[3567].end |
33162.49409375 |
transcript.pyannote[3568].speaker |
SPEAKER_02 |
transcript.pyannote[3568].start |
33162.49409375 |
transcript.pyannote[3568].end |
33162.51096875 |
transcript.pyannote[3569].speaker |
SPEAKER_25 |
transcript.pyannote[3569].start |
33162.51096875 |
transcript.pyannote[3569].end |
33162.98346875 |
transcript.pyannote[3570].speaker |
SPEAKER_02 |
transcript.pyannote[3570].start |
33162.52784375 |
transcript.pyannote[3570].end |
33165.27846875 |
transcript.pyannote[3571].speaker |
SPEAKER_25 |
transcript.pyannote[3571].start |
33165.27846875 |
transcript.pyannote[3571].end |
33165.61596875 |
transcript.pyannote[3572].speaker |
SPEAKER_02 |
transcript.pyannote[3572].start |
33165.71721875 |
transcript.pyannote[3572].end |
33173.85096875 |
transcript.pyannote[3573].speaker |
SPEAKER_02 |
transcript.pyannote[3573].start |
33174.07034375 |
transcript.pyannote[3573].end |
33187.11471875 |
transcript.pyannote[3574].speaker |
SPEAKER_07 |
transcript.pyannote[3574].start |
33187.67159375 |
transcript.pyannote[3574].end |
33188.05971875 |
transcript.pyannote[3575].speaker |
SPEAKER_07 |
transcript.pyannote[3575].start |
33188.27909375 |
transcript.pyannote[3575].end |
33188.48159375 |
transcript.pyannote[3576].speaker |
SPEAKER_07 |
transcript.pyannote[3576].start |
33188.65034375 |
transcript.pyannote[3576].end |
33198.28596875 |
transcript.pyannote[3577].speaker |
SPEAKER_02 |
transcript.pyannote[3577].start |
33196.31159375 |
transcript.pyannote[3577].end |
33203.43284375 |
transcript.pyannote[3578].speaker |
SPEAKER_07 |
transcript.pyannote[3578].start |
33202.97721875 |
transcript.pyannote[3578].end |
33204.81659375 |
transcript.pyannote[3579].speaker |
SPEAKER_02 |
transcript.pyannote[3579].start |
33204.02346875 |
transcript.pyannote[3579].end |
33224.23971875 |
transcript.pyannote[3580].speaker |
SPEAKER_02 |
transcript.pyannote[3580].start |
33225.06659375 |
transcript.pyannote[3580].end |
33229.80846875 |
transcript.pyannote[3581].speaker |
SPEAKER_02 |
transcript.pyannote[3581].start |
33230.46659375 |
transcript.pyannote[3581].end |
33234.36471875 |
transcript.pyannote[3582].speaker |
SPEAKER_07 |
transcript.pyannote[3582].start |
33235.02284375 |
transcript.pyannote[3582].end |
33247.29096875 |
transcript.pyannote[3583].speaker |
SPEAKER_25 |
transcript.pyannote[3583].start |
33243.81471875 |
transcript.pyannote[3583].end |
33244.03409375 |
transcript.pyannote[3584].speaker |
SPEAKER_07 |
transcript.pyannote[3584].start |
33247.40909375 |
transcript.pyannote[3584].end |
33249.16409375 |
transcript.pyannote[3585].speaker |
SPEAKER_07 |
transcript.pyannote[3585].start |
33249.70409375 |
transcript.pyannote[3585].end |
33253.80471875 |
transcript.pyannote[3586].speaker |
SPEAKER_02 |
transcript.pyannote[3586].start |
33254.58096875 |
transcript.pyannote[3586].end |
33270.62909375 |
transcript.pyannote[3587].speaker |
SPEAKER_02 |
transcript.pyannote[3587].start |
33271.06784375 |
transcript.pyannote[3587].end |
33279.85971875 |
transcript.pyannote[3588].speaker |
SPEAKER_02 |
transcript.pyannote[3588].start |
33280.18034375 |
transcript.pyannote[3588].end |
33288.39846875 |
transcript.pyannote[3589].speaker |
SPEAKER_07 |
transcript.pyannote[3589].start |
33288.70221875 |
transcript.pyannote[3589].end |
33289.90034375 |
transcript.pyannote[3590].speaker |
SPEAKER_02 |
transcript.pyannote[3590].start |
33290.45721875 |
transcript.pyannote[3590].end |
33290.72721875 |
transcript.pyannote[3591].speaker |
SPEAKER_07 |
transcript.pyannote[3591].start |
33290.77784375 |
transcript.pyannote[3591].end |
33303.11346875 |
transcript.pyannote[3592].speaker |
SPEAKER_02 |
transcript.pyannote[3592].start |
33291.60471875 |
transcript.pyannote[3592].end |
33294.62534375 |
transcript.pyannote[3593].speaker |
SPEAKER_02 |
transcript.pyannote[3593].start |
33295.99221875 |
transcript.pyannote[3593].end |
33298.30409375 |
transcript.pyannote[3594].speaker |
SPEAKER_02 |
transcript.pyannote[3594].start |
33299.31659375 |
transcript.pyannote[3594].end |
33302.52284375 |
transcript.pyannote[3595].speaker |
SPEAKER_02 |
transcript.pyannote[3595].start |
33303.11346875 |
transcript.pyannote[3595].end |
33306.33659375 |
transcript.pyannote[3596].speaker |
SPEAKER_02 |
transcript.pyannote[3596].start |
33306.64034375 |
transcript.pyannote[3596].end |
33310.89284375 |
transcript.pyannote[3597].speaker |
SPEAKER_07 |
transcript.pyannote[3597].start |
33311.19659375 |
transcript.pyannote[3597].end |
33312.56346875 |
transcript.pyannote[3598].speaker |
SPEAKER_02 |
transcript.pyannote[3598].start |
33312.56346875 |
transcript.pyannote[3598].end |
33313.62659375 |
transcript.pyannote[3599].speaker |
SPEAKER_07 |
transcript.pyannote[3599].start |
33312.71534375 |
transcript.pyannote[3599].end |
33314.55471875 |
transcript.pyannote[3600].speaker |
SPEAKER_02 |
transcript.pyannote[3600].start |
33314.55471875 |
transcript.pyannote[3600].end |
33315.78659375 |
transcript.pyannote[3601].speaker |
SPEAKER_07 |
transcript.pyannote[3601].start |
33315.93846875 |
transcript.pyannote[3601].end |
33318.30096875 |
transcript.pyannote[3602].speaker |
SPEAKER_07 |
transcript.pyannote[3602].start |
33318.63846875 |
transcript.pyannote[3602].end |
33337.55534375 |
transcript.pyannote[3603].speaker |
SPEAKER_02 |
transcript.pyannote[3603].start |
33335.71596875 |
transcript.pyannote[3603].end |
33336.10409375 |
transcript.pyannote[3604].speaker |
SPEAKER_02 |
transcript.pyannote[3604].start |
33337.62284375 |
transcript.pyannote[3604].end |
33348.84471875 |
transcript.pyannote[3605].speaker |
SPEAKER_07 |
transcript.pyannote[3605].start |
33348.22034375 |
transcript.pyannote[3605].end |
33348.30471875 |
transcript.pyannote[3606].speaker |
SPEAKER_07 |
transcript.pyannote[3606].start |
33348.62534375 |
transcript.pyannote[3606].end |
33351.93284375 |
transcript.pyannote[3607].speaker |
SPEAKER_07 |
transcript.pyannote[3607].start |
33352.35471875 |
transcript.pyannote[3607].end |
33358.98659375 |
transcript.pyannote[3608].speaker |
SPEAKER_07 |
transcript.pyannote[3608].start |
33359.62784375 |
transcript.pyannote[3608].end |
33364.74096875 |
transcript.pyannote[3609].speaker |
SPEAKER_07 |
transcript.pyannote[3609].start |
33365.34846875 |
transcript.pyannote[3609].end |
33383.08409375 |
transcript.pyannote[3610].speaker |
SPEAKER_05 |
transcript.pyannote[3610].start |
33383.60721875 |
transcript.pyannote[3610].end |
33385.34534375 |
transcript.pyannote[3611].speaker |
SPEAKER_05 |
transcript.pyannote[3611].start |
33385.53096875 |
transcript.pyannote[3611].end |
33386.77971875 |
transcript.pyannote[3612].speaker |
SPEAKER_05 |
transcript.pyannote[3612].start |
33386.96534375 |
transcript.pyannote[3612].end |
33389.61471875 |
transcript.pyannote[3613].speaker |
SPEAKER_05 |
transcript.pyannote[3613].start |
33389.74971875 |
transcript.pyannote[3613].end |
33390.98159375 |
transcript.pyannote[3614].speaker |
SPEAKER_05 |
transcript.pyannote[3614].start |
33391.28534375 |
transcript.pyannote[3614].end |
33398.17034375 |
transcript.pyannote[3615].speaker |
SPEAKER_05 |
transcript.pyannote[3615].start |
33398.28846875 |
transcript.pyannote[3615].end |
33399.63846875 |
transcript.pyannote[3616].speaker |
SPEAKER_05 |
transcript.pyannote[3616].start |
33400.19534375 |
transcript.pyannote[3616].end |
33405.98346875 |
transcript.pyannote[3617].speaker |
SPEAKER_07 |
transcript.pyannote[3617].start |
33404.88659375 |
transcript.pyannote[3617].end |
33409.52721875 |
transcript.pyannote[3618].speaker |
SPEAKER_05 |
transcript.pyannote[3618].start |
33407.26596875 |
transcript.pyannote[3618].end |
33407.40096875 |
transcript.pyannote[3619].speaker |
SPEAKER_05 |
transcript.pyannote[3619].start |
33409.10534375 |
transcript.pyannote[3619].end |
33410.59034375 |
transcript.pyannote[3620].speaker |
SPEAKER_07 |
transcript.pyannote[3620].start |
33410.26971875 |
transcript.pyannote[3620].end |
33414.18471875 |
transcript.pyannote[3621].speaker |
SPEAKER_05 |
transcript.pyannote[3621].start |
33413.37471875 |
transcript.pyannote[3621].end |
33415.55159375 |
transcript.pyannote[3622].speaker |
SPEAKER_07 |
transcript.pyannote[3622].start |
33414.89346875 |
transcript.pyannote[3622].end |
33417.47534375 |
transcript.pyannote[3623].speaker |
SPEAKER_05 |
transcript.pyannote[3623].start |
33415.60221875 |
transcript.pyannote[3623].end |
33415.87221875 |
transcript.pyannote[3624].speaker |
SPEAKER_05 |
transcript.pyannote[3624].start |
33417.57659375 |
transcript.pyannote[3624].end |
33418.94346875 |
transcript.pyannote[3625].speaker |
SPEAKER_28 |
transcript.pyannote[3625].start |
33419.66909375 |
transcript.pyannote[3625].end |
33420.12471875 |
transcript.pyannote[3626].speaker |
SPEAKER_28 |
transcript.pyannote[3626].start |
33420.15846875 |
transcript.pyannote[3626].end |
33420.19221875 |
transcript.pyannote[3627].speaker |
SPEAKER_28 |
transcript.pyannote[3627].start |
33420.22596875 |
transcript.pyannote[3627].end |
33420.27659375 |
transcript.pyannote[3628].speaker |
SPEAKER_28 |
transcript.pyannote[3628].start |
33420.61409375 |
transcript.pyannote[3628].end |
33423.60096875 |
transcript.pyannote[3629].speaker |
SPEAKER_28 |
transcript.pyannote[3629].start |
33428.41034375 |
transcript.pyannote[3629].end |
33436.22346875 |
transcript.pyannote[3630].speaker |
SPEAKER_28 |
transcript.pyannote[3630].start |
33436.47659375 |
transcript.pyannote[3630].end |
33438.01221875 |
transcript.pyannote[3631].speaker |
SPEAKER_28 |
transcript.pyannote[3631].start |
33438.68721875 |
transcript.pyannote[3631].end |
33443.63159375 |
transcript.pyannote[3632].speaker |
SPEAKER_28 |
transcript.pyannote[3632].start |
33444.00284375 |
transcript.pyannote[3632].end |
33450.66846875 |
transcript.pyannote[3633].speaker |
SPEAKER_28 |
transcript.pyannote[3633].start |
33451.15784375 |
transcript.pyannote[3633].end |
33452.96346875 |
transcript.pyannote[3634].speaker |
SPEAKER_28 |
transcript.pyannote[3634].start |
33453.52034375 |
transcript.pyannote[3634].end |
33454.16159375 |
transcript.pyannote[3635].speaker |
SPEAKER_28 |
transcript.pyannote[3635].start |
33454.61721875 |
transcript.pyannote[3635].end |
33464.72534375 |
transcript.whisperx[0].start |
1782.821 |
transcript.whisperx[0].end |
1789.428 |
transcript.whisperx[0].text |
好 抱怨會現在我們進行國際論壇每位委員發言三分鐘首先我們請林倩琦委員發言張志仁委員請準備 |
transcript.whisperx[1].start |
1806.985 |
transcript.whisperx[1].end |
1820.973 |
transcript.whisperx[1].text |
經貿破口轉守為攻 從32%關稅的韌性重構院長 福音同仁 媒體朋友 大家好近期美國對我們科徵高達32%的對等性關稅已經超越單一貿易的糾紛層次雖然這相關的關稅在4月10日暫停 |
transcript.whisperx[2].start |
1828.197 |
transcript.whisperx[2].end |
1852.32 |
transcript.whisperx[2].text |
但也反映出台湾当时当前在经贸战略上的一个高度脆弱性及过度集中的风险从产业面来讲汽车零组件电子产品中下游的供应链对台湾出口型的经济已经造成了整个的压力所以我们可以看到台湾在全球经贸秩序当中的脆弱因为我们对单一市场过度依赖 |
transcript.whisperx[3].start |
1853.381 |
transcript.whisperx[3].end |
1878.2 |
transcript.whisperx[3].text |
課徵高額關稅也壓縮了我們在美國市場的競爭力帶動成本效益也進一步影響了就業跟投資的意願更值得關注的是這一次事件背後所釋放出來的國際訊息是美國雖然在強調自由貿易與經貿合作但是在同時也針對我國採取這麼重的一個關稅的措施可以看得出來即使是長期的貿易夥伴 |
transcript.whisperx[4].start |
1879.961 |
transcript.whisperx[4].end |
1898.275 |
transcript.whisperx[4].text |
也難保在利益衝突下不受波及因此我們在全球供應鏈與區域的安全的角色上日趨重要的同時如果沒有辦法透過制度化的機制來強化經貿保障面對國際風險時就很難以自處因此我們需要檢討跟調整的是台灣對貿 |
transcript.whisperx[5].start |
1899.896 |
transcript.whisperx[5].end |
1899.996 |
transcript.whisperx[5].text |
第二 |
transcript.whisperx[6].start |
1920.083 |
transcript.whisperx[6].end |
1935.681 |
transcript.whisperx[6].text |
我們目前沒有能夠加入的這個重要的經濟體系如CPTPP還有IPEF等等政府應該提出更具體的推進路線圖跟談判的戰略增強我們在國際貿易體系中的制度性保障 |
transcript.whisperx[7].start |
1936.721 |
transcript.whisperx[7].end |
1958.215 |
transcript.whisperx[7].text |
產業面的部分我們要強化製造業的附加價值跟高階技術含量推動智慧製造綠色供應鏈等轉型的工具降低原材料型產品對出口的依賴提升市場波動能力的因應整合財政研發能力資源支持中小企業在提升國際競爭力方面的一個 |
transcript.whisperx[8].start |
1959.9 |
transcript.whisperx[8].end |
1976.775 |
transcript.whisperx[8].text |
另外這個事件也反映出台灣在經濟外交上的制度斷層在缺乏正式邦交與雙邊貿易協議的情況下台灣的企業容易淪為國際談判缺席者無法取得有效的防禦機制政府應該更積極爭取與主要貿易國的雙邊與多邊談判 |
transcript.whisperx[9].start |
1978.756 |
transcript.whisperx[9].end |
2005.251 |
transcript.whisperx[9].text |
並加強產業的溝通能力與協調能力快速因應國際趨勢的變化我們應該藉此機會來重新思考臺灣的經貿安全與產業布局的整體戰略謝謝謝謝林建琦委員發言接下來請張志倫委員發言麥玉珍委員請準備 |
transcript.whisperx[10].start |
2019.943 |
transcript.whisperx[10].end |
2023.433 |
transcript.whisperx[10].text |
院長 各位同仁 各位媒體朋友 大家早安 大家好 |
transcript.whisperx[11].start |
2024.591 |
transcript.whisperx[11].end |
2051.506 |
transcript.whisperx[11].text |
經歷了五次院會的停擺今天終於有機會參加國事論壇本席也在此呼籲民進黨不要再惡意杯葛議事能妥善處理行政院所提的復議案以及專案報告本次警察人員人事條例的修法不僅是對警察、消防、海巡及移民機關人員進一步的保障更是還他們一個公道 |
transcript.whisperx[12].start |
2052.466 |
transcript.whisperx[12].end |
2074.452 |
transcript.whisperx[12].text |
行政院自卓內閣以來,加上本次復議案,已是卓院長任內提出的第七件復議案。卓院長不斷地把國會通過的法案一再復議,當兒戲班不斷用不理性的方式來踐踏國會,如今更要剝奪讓錦囂退休後能安身立命的機會。 |
transcript.whisperx[13].start |
2075.572 |
transcript.whisperx[13].end |
2104.023 |
transcript.whisperx[13].text |
本席認為年金改革應該在政府誠信與財政安全間取得平衡不能為達到改革目的就抹殺警察、消防、海巡及移民機關等公務人員對國家的付出與努力由於他們的工作特殊其因因公殉職、死亡、傷殘人數就各類公務人員中佔比最高屬於高危勞性職的職務 |
transcript.whisperx[14].start |
2105.143 |
transcript.whisperx[14].end |
2123.519 |
transcript.whisperx[14].text |
尤其是警消人員的工作性質不但是隨機待命生活作息也不正常往往面對高壓力高勞力又要隨機應變的狀況常常是冒著生命危險在執勤工作以警察為例十年前 |
transcript.whisperx[15].start |
2124.119 |
transcript.whisperx[15].end |
2151.756 |
transcript.whisperx[15].text |
全台的警力上有8萬人如今只剩下7萬人力不足執勤卻一再增加社會對警察的需求與期待不斷增高然而政府給予警察的保障與支持卻遠遠不足根據統計警察在職死亡的平均年齡不到50歲這個數字清楚地顯示警察是高度風險的職業 |
transcript.whisperx[16].start |
2153.297 |
transcript.whisperx[16].end |
2182.472 |
transcript.whisperx[16].text |
他們是一人殞命就代表整個家庭的經濟支出倒下與破碎政府不能給予他們足夠的生活保障嗎因此 無論是薪資待遇 福利保障還是執勤裝備的安全措施都應該有進一步的提升政府應重新檢視本次修法的真正目的真正站在第一線人員的立場給予他們應有的尊重與保障 |
transcript.whisperx[17].start |
2183.132 |
transcript.whisperx[17].end |
2205.262 |
transcript.whisperx[17].text |
因此本席也會持續努力繼續為警察、消防、海巡及移民機關等人員在薪資、福利、執行安全及撫恤各方面爭取更多的權益謝謝謝謝張志倫委員發言接下來請蔓越真委員發言翁曉琳委員請準備 |
transcript.whisperx[18].start |
2221.564 |
transcript.whisperx[18].end |
2251.384 |
transcript.whisperx[18].text |
院長各位親愛的家人大家早安台灣未來主人翁的父母即將被賴政府趕出家門家庭破碎我們的阿母為台灣默默的付出已經超過30年因為賴政府創造兩岸關係的仇恨拿平民百姓來開刀重新住民一隻腳踏進台灣就遵守法律相夫教子 |
transcript.whisperx[19].start |
2251.664 |
transcript.whisperx[19].end |
2270.364 |
transcript.whisperx[19].text |
养儿育女缴税纳保30年认真为这个土地付出青春与辛劳却收到移民署的公文要三个月内补交上市沿国籍的公书证 |
transcript.whisperx[20].start |
2271.465 |
transcript.whisperx[20].end |
2296.826 |
transcript.whisperx[20].text |
公證書所以呢這樣子撤銷戶籍移居留席可讓我們50萬的新二代情何以堪民進黨口口聲聲說要依法行政結果是拿著20年前美補的文件來售後算帳撤銷國籍剝奪身份的威脅把封守公 |
transcript.whisperx[21].start |
2298.427 |
transcript.whisperx[21].end |
2316.101 |
transcript.whisperx[21].text |
奉公守法的新住民像懸崖這樣的政府追殺變相的政府來懲罰新住民老天爺啊那政府欺負手無寸鐵的平民百姓我們還能相信政府嗎 |
transcript.whisperx[22].start |
2318.087 |
transcript.whisperx[22].end |
2334.529 |
transcript.whisperx[22].text |
這一道子公文就抹滅一個母親為了台灣付出只要他們因為來自中國就可以這樣懷疑欺負他們有罪嗎我們一起呼應賴政府 |
transcript.whisperx[23].start |
2335.329 |
transcript.whisperx[23].end |
2363.132 |
transcript.whisperx[23].text |
臺灣已經是外憂內患了請回到你的崗位執行你的職責請停止製造人民的恐慌停止族群的分裂停止人民的衝突不要相信外面的人對你的承諾請回來聽聽臺灣人民的心聲吧我們居住臺灣 臺是你的家人請停止對我們孩子的傷害 |
transcript.whisperx[24].start |
2364.272 |
transcript.whisperx[24].end |
2391.53 |
transcript.whisperx[24].text |
請還給我們孩子一個安穩的生活民進黨賴政府請別再用國家的機器傷害台灣的人民了我們不是你的敵人我們是你的家人我們是國家最堅韌的一群人是台灣未來的主人台灣加油新住民加油請賴政府停止對我們人民的傷害 |
transcript.whisperx[25].start |
2392.671 |
transcript.whisperx[25].end |
2399.336 |
transcript.whisperx[25].text |
院長以及在座各位朋友大家好 |
transcript.whisperx[26].start |
2420.799 |
transcript.whisperx[26].end |
2436.977 |
transcript.whisperx[26].text |
美國總統川普4月2號正式宣布對各國進口產品實施對等關稅政策掀起了全球的經濟風暴台灣雖然自認為是美國的盟友經貿合作的好夥伴但是仍然被公告課徵32%的高關稅 |
transcript.whisperx[27].start |
2439.78 |
transcript.whisperx[27].end |
2464.345 |
transcript.whisperx[27].text |
預估將衝擊台灣產業9000億的產值12萬勞工恐將失業民進黨政府是對外無能防禦反制對內只會搞政治鬥爭找敵人整肅一擊民進黨政府說全國應該團結面對美國的關稅風暴但是這番話是真心還是假意我們看看賴政府的作為就知道了民進黨是這樣團結台灣的 |
transcript.whisperx[28].start |
2466.545 |
transcript.whisperx[28].end |
2490.802 |
transcript.whisperx[28].text |
第一持续提起复议案释宪案今天立法院即将去处理行政院提出的第六次的复议案第二持续的让政府官员到各个县市进行大罢免的宣讲继续造谣抹黑在野党的立委第三持续的杯葛瘫痪立法院的意识不让立法院正常运作 |
transcript.whisperx[29].start |
2491.977 |
transcript.whisperx[29].end |
2509.501 |
transcript.whisperx[29].text |
第四则是持续的制造对立计划撕裂台湾那么移民署呢近日则通知超过一万两千位已经取得中华民国身份证的陆配和出生于台湾但是成长于台湾的台湾之子 |
transcript.whisperx[30].start |
2510.021 |
transcript.whisperx[30].end |
2531.729 |
transcript.whisperx[30].text |
这些人都是在台湾居住了二三十年要求他们若三个月内没有提出无大陆的户籍文件就要撤销台湾的户籍这是陆委会继清查公教人员国营事业员工有无大陆身份证件之后进一步的对陆配和台湾资质进行审查 |
transcript.whisperx[31].start |
2534.281 |
transcript.whisperx[31].end |
2554.276 |
transcript.whisperx[31].text |
请大家不要轻忽,外政府这样蛮横无礼的作为,它正一步一步的扩大清查台湾人对民进党政府效忠的程度,试图排除任何不喜欢民进党、对民进党有批评的人,他们企图建立对于这些人可以去撤销户籍、驱除出境的权威。 |
transcript.whisperx[32].start |
2555.595 |
transcript.whisperx[32].end |
2584.218 |
transcript.whisperx[32].text |
未來只要不是民進黨的黨員沒有領取民進黨黨證就將被推進全是中共同盟人進而要求大家要自證清白這種可怕撕裂台灣的獨裁政府台灣人民絕對不能讓他們大罷免成功不能讓他們稱心如意獨霸立法院我們絕對不容許台灣只剩下一種聲音只剩下一群全是歌功頌德擁戴獨裁民進黨政府的人 |
transcript.whisperx[33].start |
2584.978 |
transcript.whisperx[33].end |
2584.998 |
transcript.whisperx[33].text |
好 謝謝 |
transcript.whisperx[34].start |
5382.303 |
transcript.whisperx[34].end |
5393.967 |
transcript.whisperx[34].text |
報告議員會現在我們繼續開會請秘書長報告出席人數報告議員會出席委員87人已足法定人數我們現在開會先處理朝野黨團協商結論請議事人員宣讀 |
transcript.whisperx[35].start |
5397.401 |
transcript.whisperx[35].end |
5416.921 |
transcript.whisperx[35].text |
立法院黨團協商結論實踐114年4月8日下午20時30分地點紅樓302會議室決定事項依各黨團同意4月11日星期五上午處理警察人員人事條例呼籲案呼籲案處理完畢後再進行行政院長專案報告相關議事程序如附件 |
transcript.whisperx[36].start |
5417.501 |
transcript.whisperx[36].end |
5429.131 |
transcript.whisperx[36].text |
二 各黨團同意4月11日星期五下午邀請行政院院長率同相關部會首長列席提出針對美國關稅政策因應作為專案報告並備質詢質詢人數由國民黨黨團推派5人民進黨黨團推派5人台灣民眾黨黨團推派1人進行每位委員尋答時間15分鐘質詢順序屹立授權議事處辦理 |
transcript.whisperx[37].start |
5441.502 |
transcript.whisperx[37].end |
5459.672 |
transcript.whisperx[37].text |
名單請於4月10日星期四中午12時前送交議事處會診預時視同放棄本次會議不處理臨時提案3月15日星期二繼續進行政黨質詢主持人韓國瑜江啟臣協商代表傅坤吉王洪威羅志強柯建銘吳思堯陳培宇黃國昌張啟凱陳昭芝宣讀完畢 |
transcript.whisperx[38].start |
5464.821 |
transcript.whisperx[38].end |
5487.71 |
transcript.whisperx[38].text |
請問會對以上朝野黨團協商結論有意義沒有意義的話我們就通過114年4月8日朝野黨團協商結論經決定如下依各黨團同意4月11號星期五上午處理警察人員人事條例復議案復議案處理完畢後再請進行行政院院長專案報告相關議事程序如附件 |
transcript.whisperx[39].start |
5488.686 |
transcript.whisperx[39].end |
5510.446 |
transcript.whisperx[39].text |
二、各黨團同於4月11日星期五下午邀請行政院院長率同相關部會所長列席提出針對美國關稅政策因應作為專案報告並備質詢質詢人數由國民黨團推派五位民主進步黨團推派五位台灣民眾黨黨團推派一位進行每位委員質詢詢答時間為15分鐘 |
transcript.whisperx[40].start |
5514.442 |
transcript.whisperx[40].end |
5542.009 |
transcript.whisperx[40].text |
質詢順序依例授權議事處來辦理名單請於4月10日星期四中午12點前送交議事處來會診預時適同放棄本次會議不處理臨時提案審4月15日星期二繼續進行政黨質詢報言會因陳學仁會本次會議議事日程草案送願為陳學仁會以本次會議議事日程草案送願會處理現有黨團以本院議事成立 |
transcript.whisperx[41].start |
5543.644 |
transcript.whisperx[41].end |
5552.28 |
transcript.whisperx[41].text |
對本次會議議事日程草案提出異議我們現在進行處理並截止收案我們先進行報告事項部分請議事人員宣讀內容黨團之題內容 |
transcript.whisperx[42].start |
5554.224 |
transcript.whisperx[42].end |
5581.721 |
transcript.whisperx[42].text |
本院民進黨黨團針對立法院第十一屆第三會期第七次會議議事日程報告事項諮詢事項禁報告事項僅限列二十一案如附表是否有當進行公決本院台灣民眾黨黨團針對第十一屆第三會期第七次會議議事日程報告事項及諮詢事項提議僅限列效表所列四案是否有當進行公決本院國民黨黨團 |
transcript.whisperx[43].start |
5583.002 |
transcript.whisperx[43].end |
5598.446 |
transcript.whisperx[43].text |
針對第十一屆第三會期第七次會議議程報告事項質詢事項提議僅限列項標鎖列四案是否有當進行公決宣傳完畢歡迎會議我們依先後各黨處理各黨團的提議請問院會對民進黨黨團提議通過有無異議有異議有異議我們 |
transcript.whisperx[44].start |
5606.69 |
transcript.whisperx[44].end |
5612.197 |
transcript.whisperx[44].text |
有異議我們就要進行表決我們現在開始按鈴七分鐘並請議事人員分發表決卡現在開始按鈴 |
transcript.whisperx[45].start |
6039.892 |
transcript.whisperx[45].end |
6050.344 |
transcript.whisperx[45].text |
抱怨會請問每位委員是不是都有簽到都有拿到表決卡抱怨會今天是我們立法院王育民委員過生日我們掌聲祝福生日快樂 |
transcript.whisperx[46].start |
6054.301 |
transcript.whisperx[46].end |
6061.528 |
transcript.whisperx[46].text |
現在我們開始進行表決我們針對民進黨黨團提議現有民進黨黨團要求記名表決贊成民進黨黨團提議請按贊成反對請按反對時間一分鐘現在開始 |
transcript.whisperx[47].start |
6141.483 |
transcript.whisperx[47].end |
6161.021 |
transcript.whisperx[47].text |
抱怨會報告表決結果出席110位贊成50位反對60位贊成者少數抱怨會現由民進黨黨團提議要求重複表決我們現在進行重複表決贊成民進黨提議請按贊成反對請按反對10天1分鐘現在開始 |
transcript.whisperx[48].start |
6233.263 |
transcript.whisperx[48].end |
6237.011 |
transcript.whisperx[48].text |
報告重複表決結果出席110位贊成50位反對60位贊成者少數民進黨團體不通過 |
transcript.whisperx[49].start |
6243.183 |
transcript.whisperx[49].end |
6253.95 |
transcript.whisperx[49].text |
辦理會我們現在處理 進行處理臺灣民眾黨團僅限列之提議因國民黨團之提議與臺灣民眾黨黨團提議相同我們一併處理請問院會對臺灣民眾黨團國民黨黨團提議通過有異議有異議我們進行表決贊成臺灣民眾黨團國民黨團提案贊成反對請按反對時間一分鐘現在開始 |
transcript.whisperx[50].start |
6342.711 |
transcript.whisperx[50].end |
6342.992 |
transcript.whisperx[50].text |
表決結果出席110位 |
transcript.whisperx[51].start |
6349.41 |
transcript.whisperx[51].end |
6366.144 |
transcript.whisperx[51].text |
贊成61位反對49位贊成者多數抱怨會現在有民進黨黨團提議要求重複表決我們現在進行重複表決贊成台灣民眾黨團國民黨團請按贊成反對請按反對重複表決時間一分鐘現在開始 |
transcript.whisperx[52].start |
6445.291 |
transcript.whisperx[52].end |
6461.636 |
transcript.whisperx[52].text |
報應會陳廷飛委員發布聲明對剛才表決結果與民進黨黨團意見一致我們列入公報記錄報應會報告重複表決結果出席110位贊成60位反對50位贊成者多數台灣民眾黨團國民黨黨團體照案通過 |
transcript.whisperx[53].start |
6465.521 |
transcript.whisperx[53].end |
6471.307 |
transcript.whisperx[53].text |
歡迎回本次會議議事日程報告事項照台灣民眾黨團國民黨黨團提議通過我們繼續進行處理討論事項部分現在處理民進黨黨團針對討論事項提供議案請議事人員宣讀提議內容 |
transcript.whisperx[54].start |
6483.854 |
transcript.whisperx[54].end |
6502.852 |
transcript.whisperx[54].text |
本月民進黨黨團針對第十一屆第三會期第七次會議議事日程您請在內討論事實僅限列如表列一案並於施政質詢前進行處理是否有當進行公決宣讀完畢全院會對民進黨黨團之提議有無意見有無異議 |
transcript.whisperx[55].start |
6505.148 |
transcript.whisperx[55].end |
6513.778 |
transcript.whisperx[55].text |
有意義啊有意義我們必須要進行表決現在我們開始進行表決對民進黨黨團針對討論事項之提議贊成民進黨黨團請按贊成反對請按反對時間一分鐘現在開始 |
transcript.whisperx[56].start |
6593.851 |
transcript.whisperx[56].end |
6610.708 |
transcript.whisperx[56].text |
抱怨會報告表決結果出席110位贊成50位反對60位贊成則少數抱怨會現由民進黨黨團體重複表決我們現在進行重複表決贊成民進黨黨團體請按贊成反對請按反對時間一分鐘現在開始 |
transcript.whisperx[57].start |
6688.232 |
transcript.whisperx[57].end |
6692.938 |
transcript.whisperx[57].text |
報告後重複表決結果出席110位贊成49位反對61位贊成者少數民進黨黨團體不通過 |
transcript.whisperx[58].start |
6700.825 |
transcript.whisperx[58].end |
6715.469 |
transcript.whisperx[58].text |
本次會議其餘的議程,照剛才院會所通過的協商結論通過我們本次會議的議事日程確定現在我們進行報告事項,請秘書長宣讀第三會期第六次會議議事錄先讀完就會處理 |
transcript.whisperx[59].start |
6720.57 |
transcript.whisperx[59].end |
6727.712 |
transcript.whisperx[59].text |
選組立法院第十一屆第三會期第六次會議事務時間中華民國114年3月21日上午9時至9時26分10時至12時9分下午2時30分至6時3月25日上午9時至下午8時47分 |
transcript.whisperx[60].start |
6738.815 |
transcript.whisperx[60].end |
6762.628 |
transcript.whisperx[60].text |
地點北越一場出席委員王偉益川等113人類似官員賢聖院長卓同泰等41人主席院長韓國瑜報告事項第一案宣讀北越第一屆第三會議第五次會議之路決定確定第二至七十至十六十八至七十六七十八至一三一六至二九零案均決定 |
transcript.whisperx[61].start |
6763.749 |
transcript.whisperx[61].end |
6774.956 |
transcript.whisperx[61].text |
交互相關委員會審查處理或交互相關委員會第897、114、145案均決定同意策違第77案決定計劃組與相關職案並且協商第291、293案為社會福利及衛生環境委員會等所提示報案 |
transcript.whisperx[62].start |
6782.1 |
transcript.whisperx[62].end |
6802.18 |
transcript.whisperx[62].text |
准許事項依假行政檔部實施事件與北院委員執行部實施事件討論事項第一案均決議交由黨員協商並由國民黨團務者召集協商第三案決議不一案不通過第四案決議定地處理對行政院長提出施政完成前施政報告均實行 |
transcript.whisperx[63].start |
6804.244 |
transcript.whisperx[63].end |
6810.771 |
transcript.whisperx[63].text |
為進行本市會議排列式實行試劇至本市下市會議繼續進行其他事項本市會議議事項包括事項實行事項照國民黨黨團 台灣民眾黨黨團提議通過針對討論事項照國民黨黨團提議通過其議議程照原 |
transcript.whisperx[64].start |
6822.545 |
transcript.whisperx[64].end |
6849.59 |
transcript.whisperx[64].text |
編制 草案通過後民進黨黨團提出全體問題經主席宣告裁釋三 國民黨黨及台灣民眾黨黨團分別提出本院院會會議時間以本院議事規則第二收號條因延長至本日排定諮詢委員諮詢結束為止促請本主席向院會說明本院議事規則第二收號條規定進行工具適宜宣讀完畢 |
transcript.whisperx[65].start |
6891.598 |
transcript.whisperx[65].end |
6904.951 |
transcript.whisperx[65].text |
好,抱怨會現在由蔡易瑜委員發表聲明蔡易瑜委員發表聲明對剛才的表決與民進黨黨團意見一致我們列入公報記錄 |
transcript.whisperx[66].start |
6907.998 |
transcript.whisperx[66].end |
6932.06 |
transcript.whisperx[66].text |
外會現有民進黨黨團提出3月25日第六式會議未依規定延長會議時間未違法會議議事錄顯有錯誤應該不予以確定之書面我們跟院會說明有關該日會議由國民黨團及台灣民眾黨團分別向本席提出請求依本院議事規則第22條 |
transcript.whisperx[67].start |
6935.629 |
transcript.whisperx[67].end |
6942.035 |
transcript.whisperx[67].text |
因延長至25日排定諮詢委員諮詢結束為止本席依規定 |
transcript.whisperx[68].start |
6943.468 |
transcript.whisperx[68].end |
6971.668 |
transcript.whisperx[68].text |
進行後續討論事宜並無不妥另外議事錄根據會議實際之進行結果與結果而記錄並由立法院公報可互相印證因此第三會期第六次會議議事錄並無民進黨黨團所指出錯誤之情勢我們作以下決定 |
transcript.whisperx[69].start |
6972.348 |
transcript.whisperx[69].end |
7000.493 |
transcript.whisperx[69].text |
第三會期第六式會議議事錄確定現有民進黨黨團提議表示反對我們現在針對民進黨黨團所提出表示反對現在針對主席宣告議事錄確定進行表決有民進黨黨團提議要求記名表決 |
transcript.whisperx[70].start |
7002.844 |
transcript.whisperx[70].end |
7020.476 |
transcript.whisperx[70].text |
各位委員請安靜好不好 有人聽不清楚針對主席所宣告議事錄確定民進黨黨團要求進行表決我們現在進行記名表決贊成 請按贊成 反對 請按反對 |
transcript.whisperx[71].start |
7025.779 |
transcript.whisperx[71].end |
7032.849 |
transcript.whisperx[71].text |
我們時間針對主席的裁定贊成請按贊成反對請按反對時間一分鐘現在開始 |
transcript.whisperx[72].start |
7184.414 |
transcript.whisperx[72].end |
7192.463 |
transcript.whisperx[72].text |
好 謝謝 謝謝我們報告表決結果謝謝我們現在報告表決結果出席委員110位 |
transcript.whisperx[73].start |
7200.735 |
transcript.whisperx[73].end |
7222.277 |
transcript.whisperx[73].text |
贊成60位反對50位贊成者多數抱怨會現有民進黨黨團體要求重複表決我們針對主席宣告議事錄此案贊成請按贊成反對請按反對時間一分鐘現在開始進行重複表決 |
transcript.whisperx[74].start |
7295.097 |
transcript.whisperx[74].end |
7322.924 |
transcript.whisperx[74].text |
報告院會報告重複表決結果初期110位贊成60位反對50位贊成者多數主席之宣告通過第三會期第六次會議意思錄確定報告院會我們現在繼續進行處理後續報告事項請迎並宣讀報告事項第二案及第三案 |
transcript.whisperx[75].start |
7323.749 |
transcript.whisperx[75].end |
7341.801 |
transcript.whisperx[75].text |
第二案 行政院韓委本院三讀通過修正警察人員人事條例部分條文其中第35條第一項第四款含附表三第二項第三項及第六項條文經研議確屬治安難行依憲法再修條文第三條第二項第二款規定以請本院負議案 |
transcript.whisperx[76].start |
7342.621 |
transcript.whisperx[76].end |
7370.479 |
transcript.whisperx[76].text |
第三案 總統府秘書長韓維本院通過修正警察人員人事條例部分條文 咨請總統公佈案 經行正院研議以其中第35條 第1項 第4款 含附表3 第2項 第3項及第6項 確屬治安難行以憲法增修條文第3條 第2項 第2款規定 呈奉總統核可 依請本院附議案議事處意見 以上二案 擬請委員會交全院委員會審查宣讀完畢 |
transcript.whisperx[77].start |
7373.479 |
transcript.whisperx[77].end |
7400.606 |
transcript.whisperx[77].text |
委員會以上兩案均照黨團朝野協商結論決定交全院委員會審查4月11號星期五院會報告事項處理完畢同日改開全院委員會審查審查完畢之後同日改開院會進行記名表決請宣讀第四案第四案本院台灣民眾黨黨團理局因應通膨強化社會任性特別條例草案議事處理監教經濟財政兩委員會審查宣讀完畢 |
transcript.whisperx[78].start |
7402.878 |
transcript.whisperx[78].end |
7431.748 |
transcript.whisperx[78].text |
好現在第四案宣讀完畢我們宣告照議事處意見通過報告事項均已處理完畢剛才院會報告有關附議案審查時程之決定院會報告事項處理完畢同日改開全院委員會審查現在請各位委員能夠到議場簽到處進行全院委員會的簽到請務必簽到足法定人數之後我們立刻進行召開全院委員會現在休息 |
transcript.whisperx[79].start |
8259.662 |
transcript.whisperx[79].end |
8286.319 |
transcript.whisperx[79].text |
現在我們繼續開全院委員會我們現在請秘書長報告出席人數報告全院委員會出席委員六三年已足法定人數我們現在開會本次全院委員會之議程依上午院會所通過附議案審查時程之決定辦理我們現在進行報告事項請秘書長宣讀第三會期第二次全院委員會議事錄宣讀立法院第十一屆第三會期第二次全院委員會議事錄 |
transcript.whisperx[80].start |
8288.748 |
transcript.whisperx[80].end |
8305.395 |
transcript.whisperx[80].text |
時間中華民國一百四點三月十一日上午九十一分至十二十八分下午二十三十分至三十三十五分三月十二日上午九十至十一時五十九分下午二十三十一分至三十五十一分地點本業一場出席委員張委員嘉峻等一百十二人 |
transcript.whisperx[81].start |
8306.235 |
transcript.whisperx[81].end |
8334.183 |
transcript.whisperx[81].text |
列席官員行政院院長卓榮泰等三四連主席院長韓國瑜副院長江啟臣報告事項第一案宣讀本院第十一屆第三會期第一次全院委員會議事錄決定確定討論事項第一案至第四案決議提報院會以記名投票表決宣讀完畢報告全院委員會我們針對第三會期第二次會議的議事錄並沒有委員或黨團提出錯誤或遺漏之處我們現在做以下決定 |
transcript.whisperx[82].start |
8335.023 |
transcript.whisperx[82].end |
8340.21 |
transcript.whisperx[82].text |
第三會期第二次全院委員會議事錄確定報告全院委員會 |
transcript.whisperx[83].start |
8341.533 |
transcript.whisperx[83].end |
8362.039 |
transcript.whisperx[83].text |
一朝上午院會的決定以上兩岸全院委員會審查時不邀請行政院院長說明由國民黨團推派一位民進黨黨團推派一位台灣民眾黨黨團推派一位每位發言五分鐘現在請各黨團推派之代表發言首先我們請張祺凱委員發言吳思堯委員請準備 |
transcript.whisperx[84].start |
8372.861 |
transcript.whisperx[84].end |
8400.858 |
transcript.whisperx[84].text |
我們現在 對不起 更正補宣讀一下我們現在進行討論四項請議事人員一併宣讀討論四項第一案及第二案討論四項第一案行政委行為本院三讀通過修正警察人員人事條例部分條文其中第35條第一項第四款含附表3第二項第三項及第六項條文經研議卻屬治案難行依憲法增修條文第三條第二項第二款規定以請本院附議案 |
transcript.whisperx[85].start |
8401.718 |
transcript.whisperx[85].end |
8426.939 |
transcript.whisperx[85].text |
第二案 總統府秘書長韓維本院通過修正警察人員人事條例部分條文 咨請總統公佈案經行見面研議 以其中第三十五條第一項第四款 含附表三第二項第三項及第六項 確屬治安難行以依憲法徵收條文第三條第二項第二款規定 存奉總統合格 以請本院復議案宣讀完畢我們現在請張綺凱委員發言 吳思瑤委員請準備 |
transcript.whisperx[86].start |
8460.85 |
transcript.whisperx[86].end |
8471.838 |
transcript.whisperx[86].text |
現在警消人員正在守護我們的安全他們現在在救台灣在救我們所有台灣的人民 |
transcript.whisperx[87].start |
8474.701 |
transcript.whisperx[87].end |
8495.626 |
transcript.whisperx[87].text |
我們台灣民眾黨曾經做了兩次大型的民調清楚顯示絕大部分的民眾都贊成不要再繼續民進黨推動的大砍井銷的退休年金要適度的提高這是台灣共識 |
transcript.whisperx[88].start |
8498.22 |
transcript.whisperx[88].end |
8518.828 |
transcript.whisperx[88].text |
不分年齡層跨世代的支持跨越了所有的教育跟年齡層這是台灣共識可是民進黨沒有把警消的辛勞放在心裡你們到底是多看不起對警消人員到底有多少的意見啊這次 |
transcript.whisperx[89].start |
8523.001 |
transcript.whisperx[89].end |
8550.357 |
transcript.whisperx[89].text |
警察人員人事條例的修正在今年1月4號就已經三讀通過了可是民進黨冒著可能違憲的這個餘力一直偷不送到總統府公告竟然還提了復議案選擇跟民意對撞民進黨的心裡眼裡根本就沒有我們警消人員全系部部長還抹黑說 |
transcript.whisperx[90].start |
8552.503 |
transcript.whisperx[90].end |
8574.043 |
transcript.whisperx[90].text |
我們退休的警消人員有八成領的錢比那個常務次長退下來還多這根本就是造謠實際的真相是超過一千位可能找不到一位可以領到像常事那樣的錢結果台灣民眾黨跟國民黨砍掉 |
transcript.whisperx[91].start |
8577.304 |
transcript.whisperx[91].end |
8598.154 |
transcript.whisperx[91].text |
全新部部長的這個特別費要他更正道歉到現在都沒有明確的道歉也沒有更正老柯柯總召還說警消如果組工會啊就會罷工就導致中共來攻打台灣 |
transcript.whisperx[92].start |
8600.896 |
transcript.whisperx[92].end |
8628.567 |
transcript.whisperx[92].text |
等一下民進黨的代表幹市長吳斯亞會上台請你們給我們解釋清楚為什麼全西部誤導你民進黨現在還一直在抹黑造謠說退休的警消人員可以領到像常務市長那麼多的錢還有我們的柯總召為什麼抹紅抹黑我們警消人員組合公會就導致中共侵台啦你們NU到底有沒有警消人員用把他們放在心上 |
transcript.whisperx[93].start |
8630.302 |
transcript.whisperx[93].end |
8657.737 |
transcript.whisperx[93].text |
台灣民眾黨做的民調清清楚楚超過七成以上的民眾都支持這次的警察人員人事條例這個修正七成以上的民眾全部都贊成特別是年輕的族群20到29歲啊 七成三支持30到39歲 超過八成喔40到49歲 也接近七成三從各個教育培去看 也全部都是支持的 |
transcript.whisperx[94].start |
8658.922 |
transcript.whisperx[94].end |
8681.687 |
transcript.whisperx[94].text |
因為大家都很知道很清楚我們的警消人員是非常辛苦的他們的工作非常的危險工作時間又長壓力又大事實上根據統計警消人員的平均餘命比我們一般人少了5到10年內政部的統計2017年到2021年這6年 |
transcript.whisperx[95].start |
8684.949 |
transcript.whisperx[95].end |
8711.024 |
transcript.whisperx[95].text |
警察因公殉職的就有47位因公受傷的4837位消防兄弟們消防署的這個統計我們的打火兄弟最近這10年就有28位不幸殉職了不幸殉職了結果民進黨今天公祭明天就忘記 |
transcript.whisperx[96].start |
8713.956 |
transcript.whisperx[96].end |
8736.272 |
transcript.whisperx[96].text |
像這次的這個修法不只是台灣的共識也是因為台灣最近這幾年的財政變好了106年民進黨推動大砍景蕭的推銷年金的時候我們的財政有些問題犧牲了我們的景蕭兄弟們可是最近這幾年我們財政變好了財政年年超出民進黨沒有看到 |
transcript.whisperx[97].start |
8737.578 |
transcript.whisperx[97].end |
8764.378 |
transcript.whisperx[97].text |
財政超說了看到退伏基金這幾年投資效率增加了嗎為什麼要繼續霸凌驚欺負我們的警消人員呢所以我們鄭重的呼籲請給我們的警消人員應該有的保障不是給多高只是希望他們在工作的時候是有尊嚴的退休是有保障的請民進黨不要再霸凌警消人員 謝謝 |
transcript.whisperx[98].start |
8775.057 |
transcript.whisperx[98].end |
8776.658 |
transcript.whisperx[98].text |
謝謝張啟凱委員發言我們接下來請吳思瑤委員發言吳宗憲委員請準備 |
transcript.whisperx[99].start |
8787.621 |
transcript.whisperx[99].end |
8805.789 |
transcript.whisperx[99].text |
主席各位同仁大家辛苦了剛剛民眾黨代表張琦凱委員講到台灣共識什麼是台灣共識藍白當家的國會反改革反進步不公不義回來了世代不正義回來了這才是現在的台灣共識 |
transcript.whisperx[100].start |
8807.37 |
transcript.whisperx[100].end |
8831.825 |
transcript.whisperx[100].text |
容我要提醒如果怕罷免就支持復议案怕罷免就支持年轻人怕罷免就请支持年金改革国难是什么不是国民党一再炒作的川普关税的冲击真正的国难是台湾的在野党并不忠诚要搞垮国家 |
transcript.whisperx[101].start |
8833.106 |
transcript.whisperx[101].end |
8852.142 |
transcript.whisperx[101].text |
如果說世代正義退府制度年金永續比較不好懂那我們就來講錢絕對讓國人很有感藍白當家的立法院搞倒國家敗光國家是現在進行式我們來算一算才化法搬走3753億 |
transcript.whisperx[102].start |
8854.784 |
transcript.whisperx[102].end |
8881.605 |
transcript.whisperx[102].text |
總預算砍了2076億還沒算個準凍結1608億加上朱立倫說要紓困舊股市至少要花2000億還有要普發現金2300億大家算一算加上今天的年改法案如果再被強行通過複議案被封殺了將造成國庫更無以數計的支出計算機跌跌的 算盤跌跌的 |
transcript.whisperx[103].start |
8883.067 |
transcript.whisperx[103].end |
8899.749 |
transcript.whisperx[103].text |
藍白62席立委上任一年多就已經敗光國家至少一兆兩千億如果再加上很多的錢坑肉桶法案至少是三兆起跳以為國家是凱子把國庫當作政治的提款機嗎 |
transcript.whisperx[104].start |
8901.411 |
transcript.whisperx[104].end |
8922.334 |
transcript.whisperx[104].text |
在座的各位想一想,这一届的立法院就说这一年好了,2025年,立法院通过了什么扶国立民的民生法案了吗?没有。但是你们联手否决了限诉法的复议案,瘫痪宪法法庭,你们否决了选罢法的复议案,没收人民的罢免权, |
transcript.whisperx[105].start |
8923.815 |
transcript.whisperx[105].end |
8938.682 |
transcript.whisperx[105].text |
總預算的時候你們現在說趕快來解凍要挽救總預算最好的方式是當時來支持總預算的復議案但你們依舊聯手封殺現在還說省下的預算可以來救股市 |
transcript.whisperx[106].start |
8939.922 |
transcript.whisperx[106].end |
8968.445 |
transcript.whisperx[106].text |
國民黨可以讓死人復活去連署但是立法院沒有辦法拿被刪掉的預算再挪用再支用藍白的委員到底是笨還是壞呢我也要說今天的反年改的法案附議如果被封殺造成了國庫千億以上的支出可以拿你們每年砍總預算來彌補補回嗎也不可能 |
transcript.whisperx[107].start |
8969.466 |
transcript.whisperx[107].end |
8980.318 |
transcript.whisperx[107].text |
很遺憾今天行政院沒有辦法來這裡報告也沒有機會上台備詢直球對決容我再一次向國人報告警察人員人事條例摯愛難行的幾個重點第一個 |
transcript.whisperx[108].start |
8987.004 |
transcript.whisperx[108].end |
9001.349 |
transcript.whisperx[108].text |
違憲 違憲 違憲大幅增加政府的財政支出違反財政紀律更違反憲法權利分立原則違反憲法的平等原則第二你們破壞了退府制度的公平性是擴大不平等造成世代不正義 |
transcript.whisperx[109].start |
9002.449 |
transcript.whisperx[109].end |
9016.006 |
transcript.whisperx[109].text |
第三如果今天不一樣被封殺了警察人員原是條例將警消的所得替代率提高到八成新增政府的支出668億退府基金會提早至少兩年破產還有 |
transcript.whisperx[110].start |
9017.808 |
transcript.whisperx[110].end |
9032.824 |
transcript.whisperx[110].text |
把所得替代率提高到八成那麼會加速讓員警提早退休形成台灣的警力中空把治安搞壞搞爛你們藍白可以負責嗎我也要負責我也要來闢謠一下張祺凱委員 |
transcript.whisperx[111].start |
9036.4 |
transcript.whisperx[111].end |
9055.309 |
transcript.whisperx[111].text |
照顧警消要優先照顧現役的警消人員需要提高在職的警消人員的各類津貼補助保險福利民進黨做的比國民黨多太多了而不是拿錢去補貼退休警察的待遇這是找錯解方我也要闢謠年改 |
transcript.whisperx[112].start |
9057.49 |
transcript.whisperx[112].end |
9080.84 |
transcript.whisperx[112].text |
並沒有違反憲法的信賴保護原則大法官早已經在781、782、783號的三號解釋文都說年改是合憲的所以各位朋友跟年輕人站在一起跟世代正義站在一起我再說一次如果怕罷免請投下支持復議案的贊成票 |
transcript.whisperx[113].start |
9082.068 |
transcript.whisperx[113].end |
9100.364 |
transcript.whisperx[113].text |
支持年輕世代 支持台灣的年輕永續請勇敢地按下贊成票 謝謝謝謝吳思瑤委員的發言接下來我們請吳宗憲委員發言 |
transcript.whisperx[114].start |
9106.738 |
transcript.whisperx[114].end |
9123.183 |
transcript.whisperx[114].text |
主席各位立委同仁各位國人大家早安我想我們這一次呢就法案主要提出是希望能夠保障警察消防海巡移民跟空勤同仁的退休生活因為這些人長期就處在一個高危險高壓的工作環境 |
transcript.whisperx[115].start |
9123.863 |
transcript.whisperx[115].end |
9147.248 |
transcript.whisperx[115].text |
那政府說這樣對其他的公務員不公平但是我在這邊跟各位報告以警察同仁來說因公傷殘每年高達700多人那前兩年更逼近900多人過去七年我們警消因公殉職的84人而全國軍公教因公殉職是229人所以公警消就佔了 |
transcript.whisperx[116].start |
9147.928 |
transcript.whisperx[116].end |
9160.323 |
transcript.whisperx[116].text |
軍公教 英工殉職人數的三分之一以上那更不要講說分母有非常大的差距比例上也有非常大的差距那這些數字其實很可怕因為每一個數字它代表的就是一個家庭 |
transcript.whisperx[117].start |
9161.431 |
transcript.whisperx[117].end |
9178.452 |
transcript.whisperx[117].text |
就像我之前說過我當年在當檢察官的時候因為帶隊搜索曾經被歹毒開過槍雙方開了六十幾槍我爸爸吃早餐的時候看新聞看到他非常的生氣但他生氣的不是我去工作他生氣的是說如果我被打到的話那我們的這個家庭怎麼辦 |
transcript.whisperx[118].start |
9179.173 |
transcript.whisperx[118].end |
9198.928 |
transcript.whisperx[118].text |
那其實這個心情就是警察、消防、海巡、空勤這些人他們家屬的心情我想我能夠真的非常能夠的體會還有夏天的季節颱風季節快到了那颱風的時候當我們在家避難可是這些人卻要在外面停休的在執勤所以當人民面對天災人禍的時候 |
transcript.whisperx[119].start |
9200.922 |
transcript.whisperx[119].end |
9226.114 |
transcript.whisperx[119].text |
這些警消是往人們逃難的方向去接近這些危險去用生命來保護我們的國人那政府本來應該就要對他們獻上最高的敬意怎麼可以說在需要他們的時候把他們護來換去不需要他們的時候又不把他們當一回事拋諸腦後這個都不對而且警察的平均死亡年齡是75歲消防弟兄是62歲平均不到70歲 |
transcript.whisperx[120].start |
9227.577 |
transcript.whisperx[120].end |
9247.658 |
transcript.whisperx[120].text |
那跟國人的平均壽命81歲相比其實差距到10年之多這是因為他們數十年的辛勞日夜顛倒甚至他們都在最危險的地方所以導致他們的健康惡化那跟固定上班的公務員怎麼能夠比呢所以我們當然認為他們跟固定上班的公務員狀況是不太一樣 |
transcript.whisperx[121].start |
9249.419 |
transcript.whisperx[121].end |
9265.544 |
transcript.whisperx[121].text |
其實剛剛吳孝文說的沒有錯大法官確實在釋字裡面有提到信賴保護的部分但是解讀似乎又還有一點差距因為大法官雖然說大法官其實他的說法是說這些公務員 |
transcript.whisperx[122].start |
9266.304 |
transcript.whisperx[122].end |
9291.35 |
transcript.whisperx[122].text |
的年金是有信賴保護原則的保障必要但是如果因為公益的需求這時候信賴保護是加以限縮的所以當國家財政發生問題有危難的時候我相信所有的警消海巡空勤這些人以及所有的國人都願意共體時間但是呢我們現在看到的是國家拿了史上最高的總預算 |
transcript.whisperx[123].start |
9292.49 |
transcript.whisperx[123].end |
9309.635 |
transcript.whisperx[123].text |
國家拿到了史上最高的超收稅額結果在這個沒有任何公益需求的情況下卻拿這個釋字出來這個其實是完全誤解大法官會議的解釋大法官是說有公益需求的時候才不受信賴保護 |
transcript.whisperx[124].start |
9310.695 |
transcript.whisperx[124].end |
9335.157 |
transcript.whisperx[124].text |
今天沒有公益需求我們當然要給他們當年同意給他們的退休制度更何況一個負責任的政府看看我們鄰近的國家大家在做的是提高現職的勞工公務員的薪水提高社會新鮮人的起薪大家在做的這個事情而不是把所有的人摳摳在一起去鬥退休的人員 |
transcript.whisperx[125].start |
9336.118 |
transcript.whisperx[125].end |
9361.539 |
transcript.whisperx[125].text |
政府沒有能力提高限職人員的薪水就叫限職的人去鬥退休的人這個是不對的更何況一年只增加20億可是我們台電的錯誤能源政策國家錯誤的能源政策讓台電這兩年已經撥補了從賺錢變成我們他需要賠了4000多億所以這個錢跟我們能夠讓景蕭能夠安穩的退休其實是有一個很大的差距 |
transcript.whisperx[126].start |
9362.779 |
transcript.whisperx[126].end |
9382.784 |
transcript.whisperx[126].text |
再來總統這幾年說警察打詐不利但我要跟各位報告我是辦刑事案件出身的打詐真正該管的是政府行政機關你敢不敢對Google開罰敢不敢對Meta開罰而不是說你完全不做前端的行政控管然後就罵後面的警察 |
transcript.whisperx[127].start |
9383.924 |
transcript.whisperx[127].end |
9406.306 |
transcript.whisperx[127].text |
打仗不利最後我們要感謝傾瀟海巡 移民組 空巡 同仁這些人用生命 用青春 犧牲健康來維護這個社會安全所以就像我們用自己的安危在保護這個社會一樣我們希望當他們用生命熱愛這個國家的時候國家千萬不要忘了他們 |
transcript.whisperx[128].start |
9413.587 |
transcript.whisperx[128].end |
9439.758 |
transcript.whisperx[128].text |
謝謝吳宗憲委員的發言報告全院委員會各黨團推派代表的委員均已發言完畢行政院所提之復議案我們已經審查完畢我們現在做以下決議提報院會以記名投票表決向全院委員會報告依照上午的院會決定全院委員會審查完畢同日改開院會進行復議案記名投票表決 |
transcript.whisperx[129].start |
9440.798 |
transcript.whisperx[129].end |
9460.165 |
transcript.whisperx[129].text |
我們定在本日上午11點15分改開院會請各位委員屆時出席院會進行附議案之記名投票表決本次全院委員會進行到此為止現在全院委員會散會 |
transcript.whisperx[130].start |
9762.071 |
transcript.whisperx[130].end |
9762.091 |
transcript.whisperx[130].text |
謝謝你們 |
transcript.whisperx[131].start |
9887.213 |
transcript.whisperx[131].end |
9893.287 |
transcript.whisperx[131].text |
抱怨会我们现在继续开会进行复议案之处理事项请宣读全员委员会审查报告 |
transcript.whisperx[132].start |
9894.042 |
transcript.whisperx[132].end |
9921.779 |
transcript.whisperx[132].text |
本院全院委員會報告審查行政院函為本院三讀通過修正警察人員人事條例部分條文其中第35條第1項第4款函附表3第2項第3項及第6項條文經研議確屬之案難行依憲法增修條文第3條第2項第2款規定以請本院復議案以上復議案經提報本地巡議界第3會及第7次會議依協商結論決定交全院委員會審查 |
transcript.whisperx[133].start |
9923.22 |
transcript.whisperx[133].end |
9948.618 |
transcript.whisperx[133].text |
本院於4月11日院會報告事項處理完畢後改開本屆第三會期第三次全院委員會進行審查會議由院長韓國瑜擔任主席並依協商結論由國民黨黨團推派一人民進黨黨團推派一人台灣民眾黨黨團推派一人進行發言每位委員發言時間為五分鐘經發言後相關發言均列入記錄 |
transcript.whisperx[134].start |
9949.88 |
transcript.whisperx[134].end |
9955.08 |
transcript.whisperx[134].text |
本案經審查完略原決議提報院會已進行投票的表決宣讀完畢 |
transcript.whisperx[135].start |
9956.54 |
transcript.whisperx[135].end |
9978.787 |
transcript.whisperx[135].text |
我們現在對附議案進行記名投票表決,由各黨團推派一位委員擔任投開票監察員。有關投票場相關事務,我們均循例辦理,設置圈票數四個,票軌兩個。在投票表決之前,我們做兩項重要宣告。一、投開票監察員由國民黨團推派蘇清泉委員。 |
transcript.whisperx[136].start |
9980.185 |
transcript.whisperx[136].end |
10004.571 |
transcript.whisperx[136].text |
民進黨團推派王逸川委員台灣民眾黨黨團推派劉書斌委員擔任二 領投票時間為一個小時領投票截止時間為中午12點15分如全體委員於12點15分之前均已投票完畢我們提前開票現在請工作人員佈置投開票所並請投開票監察員開始執行監察職務 |
transcript.whisperx[137].start |
10206.107 |
transcript.whisperx[137].end |
10229.495 |
transcript.whisperx[137].text |
報告院會本次副議案投票採記名投票另外依照上午的院會決定國民黨團、台灣民眾黨團所屬委員於北區領票民進黨黨團所屬委員於南區領票投票時兩側發言台各設有一個票軌均可投入現在請各委員黨團開始分區領票及投票 |
transcript.whisperx[138].start |
11616.431 |
transcript.whisperx[138].end |
11625.827 |
transcript.whisperx[138].text |
抱怨會民進黨黨團聲明改推派陳俊宇委員擔任投開票監察員請陳俊宇委員就位 |
transcript.whisperx[139].start |
12569.912 |
transcript.whisperx[139].end |
12576.094 |
transcript.whisperx[139].text |
保安委員會民進黨黨團改推派林淑芬委員擔任投開票監察員 |
transcript.whisperx[140].start |
13291.069 |
transcript.whisperx[140].end |
13299.117 |
transcript.whisperx[140].text |
好 抱怨會議 距離投票截止時間中午12點15分還有三分鐘還沒有投票的委員 請趕快投票 |
transcript.whisperx[141].start |
13457.986 |
transcript.whisperx[141].end |
13477.18 |
transcript.whisperx[141].text |
民進黨黨團聲明投開票監察員現在改由張雅琳委員擔任請張雅琳委員就位好 抱怨會現在我們投票截止時間已到現在按鈴並請工作人員布置開票所 |
transcript.whisperx[142].start |
13613.88 |
transcript.whisperx[142].end |
13627.846 |
transcript.whisperx[142].text |
報院會現在報告發票報告書警察人員人事條例第修正第35條條文附議案投票表決發票報告書領票委員112位未領票委員1位合計113位中華民國114年4月11日投開票監察員張雅玲委員 蘇清泉委員 劉淑冰委員 |
transcript.whisperx[143].start |
13649.755 |
transcript.whisperx[143].end |
13651.658 |
transcript.whisperx[143].text |
好 抱怨會我們現在開始開票開啟票軌並整理復議案 |
transcript.whisperx[144].start |
14038.28 |
transcript.whisperx[144].end |
14051.474 |
transcript.whisperx[144].text |
往前 |
transcript.whisperx[145].start |
14064.958 |
transcript.whisperx[145].end |
14089.571 |
transcript.whisperx[145].text |
歡迎我們現在進行副議案之唱票請唱票丁學忠贊成維持本院原決議及反對副議案丁學忠贊成維持本院原決議及反對副議案劉許廷贊成維持本院原決議及反對副議案劉許廷贊成維持本院原決議及反對副議案 |
transcript.whisperx[146].start |
14090.336 |
transcript.whisperx[146].end |
14104.504 |
transcript.whisperx[146].text |
王世堅 反對維持本院原決議及贊成復議案王正旭 反對維持本院原決議及贊成復議案王玉敏 贊成維持本院原決議及反對復議案王玉敏 贊成維持本院原決議及反對復議案 |
transcript.whisperx[147].start |
14114.042 |
transcript.whisperx[147].end |
14129.226 |
transcript.whisperx[147].text |
王定宇 反對維持本院原決議及贊成復議案王美惠 反對維持本院原決議及贊成復議案王逸川 反對維持本院原決議及贊成復議案王宏威 贊成維持本院原決議及反對復議案 |
transcript.whisperx[148].start |
14142.233 |
transcript.whisperx[148].end |
14165.262 |
transcript.whisperx[148].text |
王洪維 贊成維持本院原決議及反對復議案吳麗華 反對維持本院原決議及贊成復議案江啟臣 贊成維持本院原決議及反對復議案江啟臣 贊成維持本院原決議及反對復議案何新淳 反對維持本院原決議及贊成復議案何新淳 反對維持本院原決議及贊成復議案 |
transcript.whisperx[149].start |
14170.103 |
transcript.whisperx[149].end |
14177.208 |
transcript.whisperx[149].text |
吳沛毅 反對維持本院原決議及暫存復議案吳中憲 贊成維持本院原決議及反對復議案吳秉瑞 反對維持本院原決議及暫存復議案吳思瑤 反對維持本院原決議及暫存復議案 |
transcript.whisperx[150].start |
14198.226 |
transcript.whisperx[150].end |
14224.235 |
transcript.whisperx[150].text |
吳思瑤 反對維持本院原決議及贊成復議案吳啟明 反對維持本院原決議及贊成復議案吳啟明 反對維持本院原決議及贊成復議案呂玉玲 贊成維持本院原決議及反對復議案呂玉玲 贊成維持本院原決議及反對復議案李光誠 反對維持本院原決議及贊成復議案李坤誠 反對維持本院原決議及贊成復議案 |
transcript.whisperx[151].start |
14226.089 |
transcript.whisperx[151].end |
14232.432 |
transcript.whisperx[151].text |
李坤澤 反對維持本院原決議及贊成復議案李彥秀 贊成維持本院原決議及反對復議案李博毅 反對維持本院原決議及贊成復議案 |
transcript.whisperx[152].start |
14250.566 |
transcript.whisperx[152].end |
14261.254 |
transcript.whisperx[152].text |
沈博洋 反對維持本院原決議及贊成復議案沈發慧 反對維持本院原決議及贊成復議案林月琴 反對維持本院原決議及贊成復議案 |
transcript.whisperx[153].start |
14275.117 |
transcript.whisperx[153].end |
14297.991 |
transcript.whisperx[153].text |
林佩祥 贊成維持本院原決議及反對復議案林依瑾 反對維持本院原決議及贊成復議案林依瑾 反對維持本院原決議及贊成復議案林黛樺 反對維持本院原決議及贊成復議案林黛樺 反對維持本院原決議及贊成復議案林俊憲 反對維持本院原決議及贊成復議案 |
transcript.whisperx[154].start |
14303.803 |
transcript.whisperx[154].end |
14314.858 |
transcript.whisperx[154].text |
林俊憲 反對維持本院原決議及贊成復議案林思明 贊成維持本院原決議及反對復議案林思明 贊成維持本院原決議及反對復議案 |
transcript.whisperx[155].start |
14316.226 |
transcript.whisperx[155].end |
14327.11 |
transcript.whisperx[155].text |
林倩琦 贊成維持本院原決議及反對復議案林國成 贊成維持本院原決議及反對復議案林淑芬 反對維持本院原決議及贊成復議案 |
transcript.whisperx[156].start |
14336.713 |
transcript.whisperx[156].end |
14359.845 |
transcript.whisperx[156].text |
林淑芬,反對維持本院原決議及贊成復議案林楚英,反對維持本院原決議及贊成復議案林楚英,反對維持本院原決議及贊成復議案林德福,贊成維持本院原決議及反對復議案林德福,贊成維持本院原決議及反對復議案林益君,贊成維持本院原決議及反對復議案 |
transcript.whisperx[157].start |
14360.851 |
transcript.whisperx[157].end |
14384.103 |
transcript.whisperx[157].text |
林益君 贊成維持本院原決議及反對復議案邱志偉 反對維持本院原決議及贊成復議案邱志偉 反對維持本院原決議及贊成復議案邱若驊 贊成維持本院原決議及反對復議案邱若驊 贊成維持本院原決議及反對復議案邱振軍 贊成維持本院原決議及反對復議案 |
transcript.whisperx[158].start |
14385.223 |
transcript.whisperx[158].end |
14403.942 |
transcript.whisperx[158].text |
邱振鈞 贊成維持本院原決議及反對復議案邱奕瑩 反對維持本院原決議及贊成復議案邱奕瑩 反對維持本院原決議及贊成復議案柯志恩 贊成維持本院原決議及反對復議案柯志恩 贊成維持本院原決議及反對復議案 |
transcript.whisperx[159].start |
14405.063 |
transcript.whisperx[159].end |
14431.975 |
transcript.whisperx[159].text |
洪孟楷贊成維持本院原決議及反對復議案洪孟楷贊成維持本院原決議及反對復議案范雲反對維持本院原決議及贊成復議案范雲反對維持本院原決議及贊成復議案徐巧欣贊成維持本院原決議及反對復議案徐巧欣贊成維持本院原決議及反對復議案徐欣盈贊成維持本院原決議及反對復議案 |
transcript.whisperx[160].start |
14433.135 |
transcript.whisperx[160].end |
14448.734 |
transcript.whisperx[160].text |
徐欣怡 贊成維持本院原決議及反對復議案徐富奎 反對維持本院原決議及贊成復議案徐富奎 反對維持本院原決議及贊成復議案圖全琦 贊成維持本院原決議及反對復議案 |
transcript.whisperx[161].start |
14449.855 |
transcript.whisperx[161].end |
14473.427 |
transcript.whisperx[161].text |
圖權吉 贊成維持本院原決議及反對復議案翁曉琳 贊成維持本院原決議及反對復議案翁曉琳 贊成維持本院原決議及反對復議案馬文鈞 贊成維持本院原決議及反對復議案馬文鈞 贊成維持本院原決議及反對復議案高晶素梅 贊成維持本院原決議及反對復議案 |
transcript.whisperx[162].start |
14474.548 |
transcript.whisperx[162].end |
14485.518 |
transcript.whisperx[162].text |
高津樹梅 贊成維持本院原決議及反對復議案張鴻祿 反對維持本院原決議及贊成復議案張鴻祿 反對維持本院原決議及贊成復議案張祺凱 贊成維持本院原決議及反對復議案張祺凱 贊成維持本院原決議及反對復議案 |
transcript.whisperx[163].start |
14495.266 |
transcript.whisperx[163].end |
14502.608 |
transcript.whisperx[163].text |
張志倫 贊成維持本院原決議及反對附議案張雅玲 反對維持本院原決議及贊成附議案張家俊 贊成維持本院原決議及反對附議案 |
transcript.whisperx[164].start |
14515.912 |
transcript.whisperx[164].end |
14531.134 |
transcript.whisperx[164].text |
張嘉峻贊成維持本院原決議及反對復議案莊瑞雄反對維持本院原決議及贊成復議案莊瑞雄反對維持本院原決議及贊成復議案徐宇甄贊成維持本院原決議及反對復議案 |
transcript.whisperx[165].start |
14532.336 |
transcript.whisperx[165].end |
14554.993 |
transcript.whisperx[165].text |
許宇珍 贊成維持本院原決議及反對復議案許智傑 反對維持本院原決議及贊成復議案許智傑 反對維持本院原決議及贊成復議案郭育晴 反對維持本院原決議及贊成復議案郭國文 反對維持本院原決議及贊成復議案郭國文 反對維持本院原決議及贊成復議案 |
transcript.whisperx[166].start |
14560.024 |
transcript.whisperx[166].end |
14571.255 |
transcript.whisperx[166].text |
陳永康 贊成維持本院原決議及反對附議案陳玉珍 贊成維持本院原決議及反對附議案陳秀寶 反對維持本院原決議及贊成附議案 |
transcript.whisperx[167].start |
14583.494 |
transcript.whisperx[167].end |
14593.18 |
transcript.whisperx[167].text |
陳婷飛 反對維持本院原決議及暫存復議案陳俊宇 反對維持本院原決議及暫存復議案陳冠廷 反對維持本院原決議及暫存復議案 |
transcript.whisperx[168].start |
14606.118 |
transcript.whisperx[168].end |
14612.804 |
transcript.whisperx[168].text |
陳昭芝 贊成維持本院原決議及反對復議案陳素月 反對維持本院原決議及贊成復議案陳培宇 反對維持本院原決議及贊成復議案陳雪生 贊成維持本院原決議及反對復議案 |
transcript.whisperx[169].start |
14633.593 |
transcript.whisperx[169].end |
14647.66 |
transcript.whisperx[169].text |
陳雪生 贊成維持本院原決議及反對復議案陳清輝 贊成維持本院原決議及反對復議案陳超明 贊成維持本院原決議及反對復議案陳盈 反對維持本院原決議及贊成復議案 |
transcript.whisperx[170].start |
14660.718 |
transcript.whisperx[170].end |
14675.25 |
transcript.whisperx[170].text |
麥玉珍 贊成維持本院原決議及反對復議案傅坤祺 贊成維持本院原決議及反對復議案佑浩 贊成維持本院原決議及反對復議案黃仁 贊成維持本院原決議及反對復議案 |
transcript.whisperx[171].start |
14688.147 |
transcript.whisperx[171].end |
14714.052 |
transcript.whisperx[171].text |
黃仁 贊成維持本院原決議及反對復議案黃秀芳 反對維持本院原決議及贊成復議案黃秀芳 反對維持本院原決議及贊成復議案黃建斌 贊成維持本院原決議及反對復議案黃建斌 贊成維持本院原決議及反對復議案黃珊珊 贊成維持本院原決議及反對復議案黃珊珊 贊成維持本院原決議及反對復議案 |
transcript.whisperx[172].start |
14715.334 |
transcript.whisperx[172].end |
14726.104 |
transcript.whisperx[172].text |
黃建豪贊成維持本院原決議及反對復議案黃國昌贊成維持本院原決議及反對復議案黃捷反對維持本院原決議及贊成復議案 |
transcript.whisperx[173].start |
14738.955 |
transcript.whisperx[173].end |
14749.781 |
transcript.whisperx[173].text |
楊耀 反對維持本院原決議及贊成復議案楊瓊英 贊成維持本院原決議及反對復議案萬美玲 贊成維持本院原決議及反對復議案葉元芝 贊成維持本院原決議及反對復議案 |
transcript.whisperx[174].start |
14766.437 |
transcript.whisperx[174].end |
14785.413 |
transcript.whisperx[174].text |
葉元之贊成維持本院原決議及反對復議案葛如君贊成維持本院原決議及反對復議案葛如君贊成維持本院原決議及反對復議案廖先祥贊成維持本院原決議及反對復議案廖先祥贊成維持本院原決議及反對復議案 |
transcript.whisperx[175].start |
14786.755 |
transcript.whisperx[175].end |
14813.493 |
transcript.whisperx[175].text |
廖偉祥贊成維持本院原決議及反對復議案廖偉祥贊成維持本院原決議及反對復議案劉建國反對維持本院原決議及贊成復議案劉建國反對維持本院原決議及贊成復議案劉書斌贊成維持本院原決議及反對復議案劉書斌贊成維持本院原決議及反對復議案蔡其昌反對維持本院原決議及贊成復議案 |
transcript.whisperx[176].start |
14815.154 |
transcript.whisperx[176].end |
14822.597 |
transcript.whisperx[176].text |
蔡祺昌 反對維持本院原決議及贊成復議案鄭天才 贊成維持本院原決議及反對復議案鄭正前 贊成維持本院原決議及反對復議案 |
transcript.whisperx[177].start |
14838.962 |
transcript.whisperx[177].end |
14865.308 |
transcript.whisperx[177].text |
鄭振乾贊成維持本院原決議及反對復議案盧明哲贊成維持本院原決議及反對復議案盧明哲贊成維持本院原決議及反對復議案盧憲一贊成維持本院原決議及反對復議案盧憲一贊成維持本院原決議及反對復議案賴士寶贊成維持本院原決議及反對復議案賴士寶贊成維持本院原決議及反對復議案 |
transcript.whisperx[178].start |
14866.75 |
transcript.whisperx[178].end |
14885.901 |
transcript.whisperx[178].text |
賴慧元 反對維持本院原決議及贊成復議案賴瑞隆 反對維持本院原決議及贊成復議案賴瑞隆 反對維持本院原決議及贊成復議案謝一鳳 贊成維持本院原決議及反對復議案謝一鳳 贊成維持本院原決議及反對復議案謝隆介 贊成維持本院原決議及反對復議案 |
transcript.whisperx[179].start |
14895.606 |
transcript.whisperx[179].end |
14914.515 |
transcript.whisperx[179].text |
謝龍介贊成維持本院原決議及反對復議案鍾嘉斌反對維持本院原決議及贊成復議案鍾嘉斌反對維持本院原決議及贊成復議案韓國瑜贊成維持本院原決議及反對復議案韓國瑜贊成維持本院原決議及反對復議案顏寬恆贊成維持本院原決議及反對復議案 |
transcript.whisperx[180].start |
14920.959 |
transcript.whisperx[180].end |
14938.547 |
transcript.whisperx[180].text |
顏寬恆 贊成維持本院原決議及反對復議案羅廷偉 贊成維持本院原決議及反對復議案羅廷偉 贊成維持本院原決議及反對復議案羅明才 贊成維持本院原決議及反對復議案羅美玲 反對維持本院原決議及贊成復議案 |
transcript.whisperx[181].start |
14944.31 |
transcript.whisperx[181].end |
14972.23 |
transcript.whisperx[181].text |
羅美玲 反對維持本院原決議及贊成復議案羅志強 贊成維持本院原決議及反對復議案羅志強 贊成維持本院原決議及反對復議案蘇巧慧 反對維持本院原決議及贊成復議案蘇巧慧 反對維持本院原決議及贊成復議案蘇清泉 贊成維持本院原決議及反對復議案蘇清泉 贊成維持本院原決議及反對復議案 |
transcript.whisperx[182].start |
15124.369 |
transcript.whisperx[182].end |
15150.757 |
transcript.whisperx[182].text |
現在我們報告投票表決結果警察人員人事條例修正第35條條文附議案投票表決結果贊成維持本院原決議及反對附議案62票反對維持本院原決議及贊成附議案50票無效票0票 |
transcript.whisperx[183].start |
15151.889 |
transcript.whisperx[183].end |
15174.415 |
transcript.whisperx[183].text |
我們現在做以下決議警察人員人事條例修正第35條條文附議案贊成維持本院原決議者62人超過憲法徵修條文第3條第二項第二款所定全體立法委員二分之一之人數本院原決議 |
transcript.whisperx[184].start |
15175.922 |
transcript.whisperx[184].end |
15195.573 |
transcript.whisperx[184].text |
予以維持中華民國一百四年四月十一號投開票監察員張雅玲委員蘇清泉委員劉淑冰委員辦委會復議案已處理完畢下午兩點三十分我們繼續開會進行行政院院長專案報告並備諮詢現在休息 |
transcript.whisperx[185].start |
16587.131 |
transcript.whisperx[185].end |
16588.114 |
transcript.whisperx[185].text |
MING PAO CANADA MANGA |
transcript.whisperx[186].start |
20300.544 |
transcript.whisperx[186].end |
20301.476 |
transcript.whisperx[186].text |
MING PAO CANADA MANGA |
transcript.whisperx[187].start |
21580.546 |
transcript.whisperx[187].end |
21597.989 |
transcript.whisperx[187].text |
卓院长 各位队戏阁员午安报言会我们现在继续开会进行行政院院长提出针对美国关税政策因应作为专案报告并被质询我们首先请行政院卓院长报告 |
transcript.whisperx[188].start |
21614.838 |
transcript.whisperx[188].end |
21643.555 |
transcript.whisperx[188].text |
韓院長 江副院長各位委員先進美國政府宣布對等關稅之後對台灣經濟的發展跟國人生活帶來許多的挑戰行政院責任當然重大今天應大院之邀向各位委員及國人來提出當前的因應策略美國實施對等關稅的目的 |
transcript.whisperx[189].start |
21644.594 |
transcript.whisperx[189].end |
21670.088 |
transcript.whisperx[189].text |
是在解決他與其他國家之間的失衡跟不公平的貿易行為川普政府透過這項措施來減少他的貿易赤字促使美國再達成再工業化的目的而對我國而言這項挑戰政府將全力以赴肯定制定有效的應對策略 |
transcript.whisperx[190].start |
21672.435 |
transcript.whisperx[190].end |
21674.279 |
transcript.whisperx[190].text |
美國對等關稅是對超過180個國家科徵的額外關稅而非只針對台灣 |
transcript.whisperx[191].start |
21682.236 |
transcript.whisperx[191].end |
21693.564 |
transcript.whisperx[191].text |
自4月5日起先徵收10%的基本關稅而對於與美國貿易順差較大的57個國家則自4月9日起改為加徵11%到50%不等的關稅台灣的對等關稅稅率則被定為32% |
transcript.whisperx[192].start |
21705.359 |
transcript.whisperx[192].end |
21716.438 |
transcript.whisperx[192].text |
川普政府於美東時間4月10日也就是台北時間4月10日的晚上上網已經公告了正式的行政命令自4月10號起 |
transcript.whisperx[193].start |
21717.591 |
transcript.whisperx[193].end |
21741.03 |
transcript.whisperx[193].text |
也將中國的對等關稅稅率提高到145其餘國家在未來的90日內將暫停執行原對等關稅的稅率改成暫時維持加徵10%的基本關稅長期以來台美之間已經建立了互信而且緊密的貿易夥伴關係政府會把握 |
transcript.whisperx[194].start |
21742.592 |
transcript.whisperx[194].end |
21766.879 |
transcript.whisperx[194].text |
這未來90天的時間這個黃金的時間針對這項措施緊速的與美國展開交涉並進行談判同時也會透過這90天各種的緩衝期間極力尋求達到雙贏的方案並且在支持台美產業共同成長的前提之下持續深化雙方的夥伴關係 |
transcript.whisperx[195].start |
21768.493 |
transcript.whisperx[195].end |
21788.44 |
transcript.whisperx[195].text |
我們檢視2023年台灣進口關稅稅率從平均簡單平均是6.5%美國則是3.3%因此當美國川普政府提出對等關稅概念的這段期間政府就展開了包括低稅率 |
transcript.whisperx[196].start |
21789.46 |
transcript.whisperx[196].end |
21811.317 |
transcript.whisperx[196].text |
高税率以及后来的极高税率的各种不同推估情境跟模拟分析掌握对我国工业农业的相关影响在低税率推估的情境假设台湾被加征的对等关税介于10%到20%之间而且我们低于我们的竞争对手 |
transcript.whisperx[197].start |
21812.113 |
transcript.whisperx[197].end |
21823.14 |
transcript.whisperx[197].text |
因為如果是這個情境因為主要的影響會是新增我們關稅的支出政府以這樣的一個針對製造業跟農業的規劃我們規劃了 影響我們規劃了261億跟100億加總361億元的支持方案來協助業者應對超過百億美元的關稅負擔 |
transcript.whisperx[198].start |
21838.513 |
transcript.whisperx[198].end |
21858.881 |
transcript.whisperx[198].text |
若是在高稅率的推估情境假設台灣被加徵的對等關稅是介在20%到30%之間而且我們高於我們的競爭對手那麼由於將針對產業造成減少出口的更大衝擊對此政府則針對製造業跟農業規劃了分別是426億元以及150億元總計576億元的支持方案來應對這項挑戰 |
transcript.whisperx[199].start |
21868.26 |
transcript.whisperx[199].end |
21875.27 |
transcript.whisperx[199].text |
至於最終出現的極高的稅率推估的情境就是台灣對等關稅被定為32%超過30%以上而且比其他的 |
transcript.whisperx[200].start |
21882.256 |
transcript.whisperx[200].end |
21893.549 |
transcript.whisperx[200].text |
競爭對手也高出了將近大概有10個左右的百分點那麼將有幾個主要的影響首先台灣對美國的出口會大幅的減少我們預計會減少超過21%而且市佔率會下降0.72% |
transcript.whisperx[201].start |
21900.52 |
transcript.whisperx[201].end |
21919.536 |
transcript.whisperx[201].text |
第二 由於競爭對手的關稅較低台灣的產業可能會面臨到顧客轉單的風險生產基地也可能移轉到其他各處出口的價格也缺乏競爭力進而導致產能過剩 庫存增加 影響內銷市場隨著美國公布對台灣的對等關稅為32 |
transcript.whisperx[202].start |
21925.325 |
transcript.whisperx[202].end |
21938.815 |
transcript.whisperx[202].text |
與日本韓國相比較我們有明顯的差距政府進一步將過去的種種的規劃跟試算提高了他的經費跟規模針對製造業以及農業我們提供700億元以及180億元總共880億元的對產業的支持方案以確保產業就業獲得支持 |
transcript.whisperx[203].start |
21952.273 |
transcript.whisperx[203].end |
21973.963 |
transcript.whisperx[203].text |
對我國產業的影響我們再分析如下在製造業方面113年台灣對美國的出口達到1114美元佔總出口的32%主要出口到美國的前30大產品就佔我國出口到美國總值的72%主要是以自通訊電子零組件為止 |
transcript.whisperx[204].start |
21976.342 |
transcript.whisperx[204].end |
21988.992 |
transcript.whisperx[204].text |
佔對美國出口達到兩項加起來達到65.4%其餘的如汽車零組件、扣件、機械零件、自行車、運動器材、家具、塑膠製品等傳統產業的產值約佔5.8% |
transcript.whisperx[205].start |
21994.276 |
transcript.whisperx[205].end |
22006.884 |
transcript.whisperx[205].text |
經委由中央經濟研究院採部分均衡模型綜合考量主要國家被美國科徵對等關稅稅率包括我國的32%日本24%韓國25%中國當時是125%歐盟20%東協國家介於10%到46%之間英國10%等等以及考量我國工業產品出口美國金額佔 |
transcript.whisperx[206].start |
22023.074 |
transcript.whisperx[206].end |
22033.339 |
transcript.whisperx[206].text |
總產值的比重初步估算台灣工業產品出口至美國可能衰退達26%影響製造業產值介於5%到12.5%以及影響到12萬5000人的就業機會其中對電子資訊機械運輸工具 |
transcript.whisperx[207].start |
22046.366 |
transcript.whisperx[207].end |
22059.562 |
transcript.whisperx[207].text |
重電以及電線電纜 建材雜項 鋼鐵金屬一般化學及家電都受到較大的影響推估受影響的產業的產值幅度介於3%到最高14%之間 |
transcript.whisperx[208].start |
22063.462 |
transcript.whisperx[208].end |
22088.429 |
transcript.whisperx[208].text |
在農業方面主要受影響的包括蝴蝶蘭、茶葉、毛豆、吳郭魚、鬼頭刀、鱸魚等六項輸美佔比較高的產值可能衝擊風險包括有第一項美國市場美國消費市場會整體的萎縮就是高關稅使得進口農漁產品的價格會上漲導致美國消費者購買意願及數量的萎縮 |
transcript.whisperx[209].start |
22089.409 |
transcript.whisperx[209].end |
22111.435 |
transcript.whisperx[209].text |
第二是原輸美的產品轉銷國內造成國內市場的排擠美國消費市場需求減弱讓原銷美國的產品就可能轉銷到國內市場而第三是貿易商會壓低國內收購的價格高關稅的成本增加貿易商壓低收購成本或轉嫁成本到國內農業產業以及消費市場上被競爭對手第四項是被競爭對手 |
transcript.whisperx[210].start |
22117.67 |
transcript.whisperx[210].end |
22143.986 |
transcript.whisperx[210].text |
國產品的替代初級農漁產品的替代性較高美國市場或是被成本較低的競爭對手國產品來加以替代那麼政府在協助產業因應的方面有哪些對策政府根據這些以上分析的產業影響跟評估提出了九大面向二十項措施總經費880億元的支持方案這分別由財政部經濟部 |
transcript.whisperx[211].start |
22145.966 |
transcript.whisperx[211].end |
22174.253 |
transcript.whisperx[211].text |
農業部以及勞動部攜手合作協助製造業農業跟勞工朋友面對這項的挑戰九大面向當中針對工業部門的我們將專注於金融支持降低行政成本提升產業競爭力開拓多元市場提供租稅優惠安定就業六大面向針對農業部門的也在金融支持提升競爭力以及開拓市場列舉的三大面向 |
transcript.whisperx[212].start |
22175.677 |
transcript.whisperx[212].end |
22196.378 |
transcript.whisperx[212].text |
我們進一步規劃了20項具體的措施其中重點包括有增加融資貸款優惠租稅減免強化外銷能力輔導企業轉型以及拓展多元市場提升產業的國際競爭力特別是對中小企業和傳統產業政府將提供更多的關注和支持 |
transcript.whisperx[213].start |
22197.219 |
transcript.whisperx[213].end |
22216.589 |
transcript.whisperx[213].text |
此外政府也針對受影響的勞工尤其初次尋職的以及畢業青年提出了安定就業措施包括勞動部會主動訪視關懷勞工安心就業讓受充級再就業以及青年接軌職場都分別列在措施當中 |
transcript.whisperx[214].start |
22217.529 |
transcript.whisperx[214].end |
22233.037 |
transcript.whisperx[214].text |
近期勞動部已開始主動的聯繫相關公會跟團體聆聽受影響的情形並收集建議掌握人力的變動情形以及需求的協助儘管美國在日前又公布了暫緩 |
transcript.whisperx[215].start |
22234.97 |
transcript.whisperx[215].end |
22253.33 |
transcript.whisperx[215].text |
維持加徵10%基礎關稅的90天的緩衝期但未來國際情勢仍屬多變政府作為產業的最佳後盾會緊迫來執行九大面向20項措施總經費880億元的支持方案支持方案到目前為止 |
transcript.whisperx[216].start |
22254.031 |
transcript.whisperx[216].end |
22273.605 |
transcript.whisperx[216].text |
我們認為基本的架構不變,但要視未來雙方談判進展以及結果,以實際的需求,穩當檢討。這點要期請大院能夠予以支持。總統也在針對這項美國對等關稅措施提出之後,提出了五大因應的策略。 |
transcript.whisperx[217].start |
22275.194 |
transcript.whisperx[217].end |
22289.452 |
transcript.whisperx[217].text |
為的是在保護我國產業發展並確保台灣在全球貿易中的競爭力其中第一是透過談判改善對等關稅我們已經早就成立了對美談判小組把握美國暫時維持加徵10%基礎關稅的90日這個緩衝期 |
transcript.whisperx[218].start |
22294.578 |
transcript.whisperx[218].end |
22319.248 |
transcript.whisperx[218].text |
會極力爭取改善對等關稅的待遇並將基於國內的需求擴大對美產購以及雙向的投資同時積極處理美方關切的非關稅貿易障礙違規轉運以及高科技出口管制等問題特別是解決非關稅貿易障礙涉及多項國內的修法更有賴大院我們共同討論共同支持 |
transcript.whisperx[219].start |
22320.185 |
transcript.whisperx[219].end |
22339.255 |
transcript.whisperx[219].text |
另外,因為中國對等關稅率被大幅增加到145%,是否會帶動中國低價的產品大幅度的傾銷台灣,或者是利用台灣進行違規轉運到美國,政府會加大管理的力道,嚴密監控並積極查緝,確保國家與產業的利益。 |
transcript.whisperx[220].start |
22342.725 |
transcript.whisperx[220].end |
22356.035 |
transcript.whisperx[220].text |
第二在提出產業支持方面總統也希望我們這個九大面向二十項措施以及經費八百八十億的支持方案能夠得到大院的支持同時為擴大內需政府也正在盤點國內業者 |
transcript.whisperx[221].start |
22358.357 |
transcript.whisperx[221].end |
22376.216 |
transcript.whisperx[221].text |
利用這樣的一個契機能夠進行太舊換新設備的需求但我們盤點工作結束之後這一項擴大內需太舊換新的跟業者的協助計畫我們會再爭取相關以及籌措相關的這個裁員來進行對業者的支持 |
transcript.whisperx[222].start |
22377.113 |
transcript.whisperx[222].end |
22398.682 |
transcript.whisperx[222].text |
第三,在建構中長期發展策略這方面,制定了經濟發展策略,推動產業升級,以確保經濟競爭力跟穩定的成長,也與我們友好國家合作開拓市場,同時充分利用台灣在半導體等科技領域的優勢發展各種應用的產業,讓台灣成為人工智慧的中心。 |
transcript.whisperx[223].start |
22400.54 |
transcript.whisperx[223].end |
22415.829 |
transcript.whisperx[223].text |
第四點就是在立足台灣佈局全球改善投資環境協助台商調整海外生產基地透過台灣加一的策略強化與美國的產業合作進一步進入到全球市場最後再開啟產業傾聽之旅總統與我本人已經開始 |
transcript.whisperx[224].start |
22420.362 |
transcript.whisperx[224].end |
22445.969 |
transcript.whisperx[224].text |
向各協同我們的行政團隊聆聽各行各業的需求跟挑戰這個是在之前就已經在進行那麼在4月3號之後我們是持續的加緊跟不同的產業就目前所面臨的真正的問題進行聆聽跟解決的方案並根據產業的意見滾動式來檢討我們的政策我們會增加企業對政府的信心 |
transcript.whisperx[225].start |
22446.869 |
transcript.whisperx[225].end |
22466.053 |
transcript.whisperx[225].text |
美國政府宣布對台關稅的決定之後台灣面臨前所未有的這項挑戰影響國家的經濟跟每個國人的生活而面對這項挑戰政府會全力以赴制定有效的應對策略確保經濟穩定發展我們相信只要團結努力台灣能夠在變化的國際局勢當中繼續穩健的前進 |
transcript.whisperx[226].start |
22469.52 |
transcript.whisperx[226].end |
22484.351 |
transcript.whisperx[226].text |
至於880億的支持方案已經在日前獲得多數地方政府首長分別表示支持政府將緊迫訂定特別條例以及編訂相關的預算懇請各位委員大力支持 |
transcript.whisperx[227].start |
22485.831 |
transcript.whisperx[227].end |
22513.437 |
transcript.whisperx[227].text |
並請能夠為我們的產業跟人民在這一次的大的變局當中我們用最快的速度完整的內容提出一套整套的制度讓我們能夠馬上上路來執行我想這個是人民之所希望也希望大院跟行政院共同合作努力來完成這項工作謝謝大家 敬請指教好 謝謝卓院長的報告 |
transcript.whisperx[228].start |
22515.513 |
transcript.whisperx[228].end |
22532.168 |
transcript.whisperx[228].text |
現在我們進行委員質詢每位委員詢答的時間不得超過15分鐘輪到質詢的委員如果不在場就視同放棄首先我們請吳思瑤委員質詢傅坤祺委員請準備 |
transcript.whisperx[229].start |
22551.786 |
transcript.whisperx[229].end |
22562.737 |
transcript.whisperx[229].text |
好 謝謝院長 有請卓院長麻煩請卓院長備選那外交部林部長麻煩請外交部備選部委好 |
transcript.whisperx[230].start |
22576.896 |
transcript.whisperx[230].end |
22602.606 |
transcript.whisperx[230].text |
院長好所有內閣團隊大家這段時間都辛苦了美國川普總統說的要Make American Great Again我今天要破題我們也要把握這個歷史的挑戰它同時也是一個機會Make Taiwan Stronger在最壞的時代我們要做出最好的因應下一頁那我想這一波的美國關稅 |
transcript.whisperx[231].start |
22605.231 |
transcript.whisperx[231].end |
22626.363 |
transcript.whisperx[231].text |
啟動的全球衝擊要有清楚的定義,要傳達正確的訊息,否則很容易被亂帶風向,讓以美論一炒再炒。所以我要問一下院長,美國的對等關稅的宣布,就等同於台美關係觸礁了嗎? |
transcript.whisperx[232].start |
22629.102 |
transcript.whisperx[232].end |
22644.031 |
transcript.whisperx[232].text |
我認為並非如此台美關係近年來持續的發展基於地緣政治的需求 基於經濟安全的需要而美國這次的對等關稅他是因為要解決自己內部國家的這個貿易赤字減少貿易的逆差也要當 |
transcript.whisperx[233].start |
22644.751 |
transcript.whisperx[233].end |
22656.345 |
transcript.whisperx[233].text |
透過排除非關稅貿易障礙以及讓美國再工業化的多項的目的而且他是對所有的國家是一套公式一個計算一個標準一個結果所以我說 |
transcript.whisperx[234].start |
22660.149 |
transcript.whisperx[234].end |
22687.347 |
transcript.whisperx[234].text |
不要把它等同於是台美關係的惡化或是觸礁川普就如您所說的他是為了他內部的發展需求他對全球180個國家都發布了這樣子的關稅的新的做法所以no one is outsider不是針對台灣請在野黨不要再炒作以美論了第二個我們要清楚定義的議題是 |
transcript.whisperx[235].start |
22690.932 |
transcript.whisperx[235].end |
22710.283 |
transcript.whisperx[235].text |
這場對等關稅的大戰是國難嗎這兩個字當然是沉重但對國家來講可能也是空前的一個變局但是這個變局不是單單發生在台灣而是全世界你看這一周的股市當國際的股市在變化全球無一幸免 |
transcript.whisperx[236].start |
22711.189 |
transcript.whisperx[236].end |
22715.311 |
transcript.whisperx[236].text |
所以我要定義喔如果台灣社會沒有足夠的經濟韌性台灣沒有底氣或者是政府沒有準備 |
transcript.whisperx[237].start |
22732.628 |
transcript.whisperx[237].end |
22750.385 |
transcript.whisperx[237].text |
然後更重要的如果在野黨毫不忠誠這三者俱足這恐怕才是真正的國難所以負責任的執政黨我們努力做到但是忠誠的在野黨很遺憾台灣現在沒有看到下一頁 |
transcript.whisperx[238].start |
22751.277 |
transcript.whisperx[238].end |
22771.323 |
transcript.whisperx[238].text |
在野党毫不忠诚,有立委说要罢免川普申请释宪,这是罗志强。徐宇珍说,终止大罢免,而且要启动对美国的报复。傅昆奇总召说,台积电、联电、赴美投资先来立法院报告,又是利润最大。 |
transcript.whisperx[239].start |
22772.743 |
transcript.whisperx[239].end |
22791.436 |
transcript.whisperx[239].text |
趙少康甚至說要繼續擁抱中國要求台灣政府停止一切對美國的投資要完全開放中國的市場甚至北北基桃的四個首長把北北基桃四個縣市當作Costco的分部 |
transcript.whisperx[240].start |
22792.556 |
transcript.whisperx[240].end |
22819.469 |
transcript.whisperx[240].text |
說要來輪流舉辦美國商品的採購會在下夜更甚至在昨天晚上朱立倫主席呢把對等關稅的這個重要的戰場當作自己連任黨主席的擂台了我必須這樣說他要求所有的國民黨的縣市首長大家聚在一起聚會其實是為自己參選黨主席連任黨主席繼續來做一個舞台罷了喔 |
transcript.whisperx[241].start |
22820.219 |
transcript.whisperx[241].end |
22837.087 |
transcript.whisperx[241].text |
那國民黨端出什麼了不得的方案呢並沒有他們重回一中市場的老路所以網路上的一句金句啊選對的人走對的路選錯的人呢關稅已經不是125囉關稅145 |
transcript.whisperx[242].start |
22840.729 |
transcript.whisperx[242].end |
22865.039 |
transcript.whisperx[242].text |
所以在野黨昨天的四大聲明要兩千億的紓困要廣發一萬元的現金要鼓勵陸客來台要召開國事會議我要說陸客陸資成了國民黨的萬年公事撒錢發錢成了國民黨的萬用要單你們診斷一下這樣子的做法 |
transcript.whisperx[243].start |
22866.019 |
transcript.whisperx[243].end |
22894.172 |
transcript.whisperx[243].text |
有效合理嗎 院長簡短跟委員報告美國發布對等關稅我們當然有做適度的調整但是我們從去年行政院經濟發展委員會之後成立的經濟外交工作小組副院長以及加農部長都是其中重要成員之後又成為成立的台美經貿的專案小組那我們對這樣的一個發展的策略我們是長久一致性的所以我剛剛也答覆過這個提出聲明當中對的願意共同來討論但是 |
transcript.whisperx[244].start |
22896.233 |
transcript.whisperx[244].end |
22922.014 |
transcript.whisperx[244].text |
對國家的財政跟人們的需求我們還是要放在第一位那至於說經濟外交工作小組對我們來講是一個非常新的視野佳龍部長也許可以簡短好我稍後讓部長針對談判的部分讓您來發表所以說國民黨如果持續的擁抱一中市場繼續走回頭路的話那實在是害慘台灣而不是愛台灣更嚴重的呢下一個 |
transcript.whisperx[245].start |
22923.916 |
transcript.whisperx[245].end |
22943.717 |
transcript.whisperx[245].text |
這個離島建設條例,陳玉珍委員提案,22個國民黨立委連署支持的,它不折不扣就是一個替中國洗產地的條例。當我們努力在救火,國民黨沒有幫忙滅火,它甚至是幫忙添柴火、放火。 |
transcript.whisperx[246].start |
22945.083 |
transcript.whisperx[246].end |
22970.608 |
transcript.whisperx[246].text |
院長你要說一下這樣子的一個條例如果在立法院又被強行通過而且沒有討論的機會現在不討論的機會成為我們韓國瑜院長這個惡例都變成慣例我怕以後沒有機會讓你發表您現在說清楚這樣一個離島建設條例是不是就是公然替中國洗產地人流物流金流就是這樣堂而皇之的來陷台灣於不義來入侵台灣來院長 |
transcript.whisperx[247].start |
22972.208 |
transcript.whisperx[247].end |
22992.567 |
transcript.whisperx[247].text |
中央政府對離島的建設跟所有離島國人的福利一向都不落後的而且我們會包括用水方面包括用電方面包括交通方面我們極力也在維護但是我們注重的是怎麼樣讓離島身處前線但是必須是安全的國防那您認為這個條例是不是涉及了替中國洗產地 |
transcript.whisperx[248].start |
22994.82 |
transcript.whisperx[248].end |
23013.115 |
transcript.whisperx[248].text |
過去的發展 如果照過去的條例內容會讓中資、陸資進到離島來 而且進行重大建設這個是萬萬使不得 我說我們會嚴防那如果未來涉及棲產地這又是在這次全世界對等關稅貿易當中美國很在意的違規轉運等等所以在野黨沒有幫忙滅火 還要讓台灣飛而撲火 |
transcript.whisperx[249].start |
23019.793 |
transcript.whisperx[249].end |
23030.555 |
transcript.whisperx[249].text |
民進黨團主張離島建設條例要撤案這種賣台毀國的條例要撤案你們支不支持 |
transcript.whisperx[250].start |
23031.798 |
transcript.whisperx[250].end |
23047.182 |
transcript.whisperx[250].text |
我們站行政立場我們當然願意支持在立法院裡面大家極力力爭為保障國家安全經濟安全來做努力所以不合理的條例我們應當未雨綢繆要先擋下來就擋下來請國民黨撤回離島建設條例下一頁好 880億喔 |
transcript.whisperx[251].start |
23055.629 |
transcript.whisperx[251].end |
23073.548 |
transcript.whisperx[251].text |
國民黨說可加碼我們很早就說了只要能夠針對產業的需求受衝擊的狀況更清楚的來研判之後要加碼就加碼請朝野支持謝謝國民黨那我想問一下什麼時候有這樣子的特別條例跟特別預算提出的時程 |
transcript.whisperx[252].start |
23075.305 |
transcript.whisperx[252].end |
23093.887 |
transcript.whisperx[252].text |
照原來沒有宣布90天暫緩的情況之下在昨天的行政院會已經做針對881支持方案做了報告原計劃是在下個禮拜希望能夠用以特別條例來經過行政院的院會那現在我們觀察這幾天還在變化還在變化所以我跟 |
transcript.whisperx[253].start |
23094.568 |
transcript.whisperx[253].end |
23113.601 |
transcript.whisperx[253].text |
我們的政委副院長在思考是不是能夠多一個禮拜的時間來思考外界的變化讓特別條例內容我們可以更從容因為擁有了90天的黃金期那下一頁國民黨所說刪掉的總預算1439億可以拿來當紓困的救命資源 |
transcript.whisperx[254].start |
23114.821 |
transcript.whisperx[254].end |
23130.366 |
transcript.whisperx[254].text |
黃國昌也不甘寂寞這是藍白河共赴國難藍白河而且都說同一套話術也是同一套騙術傅昆奇說砍掉的1439億可以來紓困黃國昌說砍掉的2000多億是舊產業的即時雨兩個人的數字還都不攏就證明了砍預算亂砍連在野黨的兩大黨別人都說不清楚哪個數字是對的 |
transcript.whisperx[255].start |
23141.81 |
transcript.whisperx[255].end |
23157.308 |
transcript.whisperx[255].text |
我是非常痛恨這種把預算當作無軌搬運的這種毫無預算嘗試還當在野黨的黨鞭我想問一下院長國民黨可以讓死人都復活去連署這硬要摘掉 |
transcript.whisperx[256].start |
23158.257 |
transcript.whisperx[256].end |
23187.481 |
transcript.whisperx[256].text |
但是立法院可以讓砍掉的預算重新被致用挪用嗎就您的長期以來擔任立委也擔任行政部門現在擔任院長這不可能審查預算是一項非常神聖嚴謹的問題審查預算刪除的預算並不是從左邊口袋放到右邊口袋也不是從我的口袋放到抽屜裡面去不是這樣子的如果可以這樣做的話那我們就可以挪到其他去使用整個預算法 紙巨法不是這樣子的 |
transcript.whisperx[257].start |
23188.061 |
transcript.whisperx[257].end |
23210.488 |
transcript.whisperx[257].text |
所以黃國昌、傅坤琪、藍白的委員們行行好不要把國家當作全民當作三歲小孩再騙把自己明明是砍國家預算的大惡人現在搖身一變要搶當紓困的大善人不要再騙了那我問一下接著也要追問那如果提特別條例請問這個880億或是880億plus請問他的裁員可能是什麼 |
transcript.whisperx[258].start |
23215.294 |
transcript.whisperx[258].end |
23224.59 |
transcript.whisperx[258].text |
先要有一個特別條例在編定這個特別預算特別預算的裁員只有兩個一個就是稅計證據 一個就是舉債我們當然在這個合法的 |
transcript.whisperx[259].start |
23225.762 |
transcript.whisperx[259].end |
23246.036 |
transcript.whisperx[259].text |
方式裡面去籌組相關應的這個預算所以就是善用稅計剩餘好好利用稅計剩餘來國家需要的眼前迫切的需要把稅計剩餘拿來編列作為這個特別條例跟特別預算我非常支持而不是把稅計剩餘拿去普發現金一人一萬就2300億沒有了 |
transcript.whisperx[260].start |
23249.038 |
transcript.whisperx[260].end |
23277.279 |
transcript.whisperx[260].text |
我想國家當前的需要我們認為我們把稅率剩餘用在這個產業的支持方案我相信人民會支持好那下一頁是要請教林部長不好意思讓你等了比較久您昨天已經說了台美的關稅談判台灣已經掛上號Good News那總統今天在中部會見產業座談他也更進一步的說台灣是Priority中的Priority是第一批的談判名單您可以具體的來回應嗎 |
transcript.whisperx[261].start |
23278.437 |
transcript.whisperx[261].end |
23300.223 |
transcript.whisperx[261].text |
是 報告委員 在川普4月2日所謂解放日公布了對等關稅我們總統就在4月6號 他具體的以8分鐘時間向世人提出了我們對應的方案這裡面有五大的政策 |
transcript.whisperx[262].start |
23301.291 |
transcript.whisperx[262].end |
23329.022 |
transcript.whisperx[262].text |
那其實這個是非常關鍵的因為美方就收到這個訊息我們提方案而且美方收到了這個左院長所召集的我們不管經濟外交小組的會議或政府院長他召集台美經貿這個專案的這個小組其實都已經把它分類所以不只是只有關稅這裡面包括跟涉及貿易有關的當然包括有一些是非關稅貿易的障礙有一些是貿易的障礙 |
transcript.whisperx[263].start |
23329.682 |
transcript.whisperx[263].end |
23356.037 |
transcript.whisperx[263].text |
也包括投資採購像採購你看也包括我們包括這個除了軍購以外也包括農工產品也包括我們這個投資的包括能源特別這些公策都不是突然間這都是長期我們就已經做好準備也打算要做的事所以其實美方有感受到我們總統所提出來很完整的對應的政策 |
transcript.whisperx[264].start |
23356.517 |
transcript.whisperx[264].end |
23384.191 |
transcript.whisperx[264].text |
所以他們其實是肯定而且是覺得很欣賞我們這種做法所以我們可能還在前段班列南也提到說他們可能要從這個所謂零關稅不好意思我時間有限所以部長我們很可能在前段班我們可以這樣樂觀期待對那我再補充一下就是在這個昨天總統在布倫伯格更完整的發表投書之後他更強調深化台美經貿合作所以不只是要談關稅我們要談台美全面性的合作 |
transcript.whisperx[265].start |
23385.131 |
transcript.whisperx[265].end |
23414.137 |
transcript.whisperx[265].text |
所以確實現在已經雙方面有溝通的管道那也就議題在做一些對應所以隨時都在進行當中所以簡言之我們提出了具體的方案而這個方案不只是短期的是長期的有利於台灣利益也有利於美國利益然後美國收到了這個方案他們也高度的稱許所以讓我們可以更有底氣更有信心的說我們可能可以 |
transcript.whisperx[266].start |
23414.497 |
transcript.whisperx[266].end |
23436.427 |
transcript.whisperx[266].text |
名列談談判的前段班我們繼續加油但是戒慎恐懼來下一頁所以這是丘吉爾說的一句話never let a good crisis go to west我們就要讓危機變成轉機這也是總統說的利用地緣政治的變動步步為夷轉為維安來我看最後 |
transcript.whisperx[267].start |
23438.618 |
transcript.whisperx[267].end |
23463.686 |
transcript.whisperx[267].text |
這個剛剛因為時間不夠請看細頓2.0這一頁也就是說這是一個長城的總統說台灣的經濟從西進南向東拓到北合以及我們要打造全球半導體民主供應鏈的夥伴創意讓台灣加一是台灣加美國加強跟美國的合作我們更要有強的底氣跟信心跟野心全球plus one |
transcript.whisperx[268].start |
23464.306 |
transcript.whisperx[268].end |
23484.611 |
transcript.whisperx[268].text |
那個plus one就是全球plus Taiwan這是我們長城的布局所以我最重要說對台灣有信心對政府要信賴也拜託在野黨要忠誠我們能夠轉圍維安也會長治久安好謝謝吳思瑤委員質詢謝謝左院長外交部的備詢接下來我們請傅坤祺委員質詢黃國昌委員請準備 |
transcript.whisperx[269].start |
23496.508 |
transcript.whisperx[269].end |
23497.968 |
transcript.whisperx[269].text |
富坤齊委員請質詢主席請院長麻煩再請卓院長備詢 |
transcript.whisperx[270].start |
23535.646 |
transcript.whisperx[270].end |
23555.28 |
transcript.whisperx[270].text |
副委員好左院長辛苦了不會 大家都一樣辛苦今年是2025年在上一次美國政府所提出的關稅大壁壘是在1930年 95年前當時發生的情況我們都沒有看見因為95年後 |
transcript.whisperx[271].start |
23563.544 |
transcript.whisperx[271].end |
23588.604 |
transcript.whisperx[271].text |
美國再一次啊用這種雷霆的手段來平衡貿易的逆差但前一次1930年造成全世界經濟的一個撞擊而且美國啊從此展開了為期啊多年的經濟的大蕭條造成全世界啊這個經濟的 |
transcript.whisperx[272].start |
23591.792 |
transcript.whisperx[272].end |
23619.968 |
transcript.whisperx[272].text |
整體的崩潰失業率的大幅提升各行各業全世界都受難在95年後我們再次碰到美國再次引爆關稅壁壘的核彈這段時間我們必須很務實的來面對是的我們大家一定要團結一心共赴國難不分朝夷 |
transcript.whisperx[273].start |
23620.984 |
transcript.whisperx[273].end |
23649.317 |
transcript.whisperx[273].text |
大家同心協力院長我們是不是要一起同心協力當然是也希望大院能夠支持讓行政院的方案能夠一起來推動不過本席在這裡要請院長因為今天的院長的專案報告從星期一我們的座談當中院長就表達希望今天到立法院來做專案報告讓全國國人能夠了解 |
transcript.whisperx[274].start |
23650.339 |
transcript.whisperx[274].end |
23677.405 |
transcript.whisperx[274].text |
我們也欣然的接受也歡迎但是這份報告我們確實我不曉得說我們現在整體立法院跟行政院這個報告是要等院長您報告完之後我們才有電子檔所以是不是因為接著下來不只是這一次的振興跟紓困台灣的經濟未來可能還有第二期第三期 |
transcript.whisperx[275].start |
23679.542 |
transcript.whisperx[275].end |
23704.492 |
transcript.whisperx[275].text |
甚至接下來這個紓困的條例也要送到立法院來審議我們希望院長下一次院長到立法院做報告的時候能夠早一兩天給我們報告的資料因為大家是在合作 集思廣益我們馬上第一棒代表國民黨要來詢答但是這個資料我剛剛才看到 |
transcript.whisperx[276].start |
23706.024 |
transcript.whisperx[276].end |
23734.656 |
transcript.whisperx[276].text |
所以我們希望這個資料能夠盡早給我們兩句話書面報告我們有提前送來那口頭的報告早上還在改因為他的行政命令半夜才宣布我們早上還在改沒有關係沒有關係院長我們共勉之了好不好大家記得要同心把這個事情完成我們配合美方的行政措施早上還在宣布半夜宣布我們早上還在修改這個向大院來致歉但書面報告已經有提前送達這個依照經濟部4月4號今年4月4號送到 |
transcript.whisperx[277].start |
23736.531 |
transcript.whisperx[277].end |
23756.144 |
transcript.whisperx[277].text |
這個立法院來的報告裡面我們對美國的粗糙在去年是649億美金光這個數字我們現在都還在確認因為經濟部在本月4號給我們的資料是649億美金那我們加徵的關稅是32%的關稅賴總統 |
transcript.whisperx[278].start |
23762.116 |
transcript.whisperx[278].end |
23789.212 |
transcript.whisperx[278].text |
也對投書美國的彭博社提出了四個對策包括台美零關稅增加軍購還有採購對美投資還有承諾取消所有非關稅貿易的障礙我想基本賴總統宣布的這四項主要政策我們是尊重但是所有的風險 |
transcript.whisperx[279].start |
23790.578 |
transcript.whisperx[279].end |
23818.692 |
transcript.whisperx[279].text |
我們要一併的考量這個台美零關稅 我們先從零關稅說起如果台美零關稅 其實台灣的農林漁牧是相當的無辜畢竟在去年我們對美的輸出是8.6億美金美國對台灣的輸入是37億美金整體我們兩國的貿易我們是逆差 |
transcript.whisperx[280].start |
23819.997 |
transcript.whisperx[280].end |
23846.776 |
transcript.whisperx[280].text |
在逆超的情況之下卻是要承擔未來可能零關稅這樣的一個撞擊所以本期在這裡要特別提醒院長尤其我們的談判代表團到美國的時候對於農林榆木的部分本身我們是入超在這個部分是不是用其他的方式來協調盡量不要損及 |
transcript.whisperx[281].start |
23849.212 |
transcript.whisperx[281].end |
23865.242 |
transcript.whisperx[281].text |
我們農民 漁民相關的權益可以嗎好 三句話跟委員報告第一個 農漁優先這個是政府一向的策略好 我們的宗旨不會改變第二點 我們對美國對美國的輸出輸入在農業方面我們是逆差的 |
transcript.whisperx[282].start |
23866.069 |
transcript.whisperx[282].end |
23894.765 |
transcript.whisperx[282].text |
我們希望在這一點能夠得到談判當中的諒解那至於從零關稅談起這是一個談判的態度中間涉及到很多的策略跟相關的互相的條件那麼農業部也針對農漁的將來可能受到的損害有做到相當多的風險的研判跟設算那我們會站在這個立場上面跟委員所說的一樣保障我國的農漁民的權利所以說現在國內有很多的 |
transcript.whisperx[283].start |
23895.665 |
transcript.whisperx[283].end |
23919.879 |
transcript.whisperx[283].text |
這個疑慮已經產生了所以本席在今天也是讓院長有一個說明的機會了解因為這個零關稅端出來的時候有很多的產業開始恐慌我希望院長這個部分能夠跟我們的農林榆木的我們這些基層的這些農民 漁民能夠讓他們能夠多所了解政府還是站在他們的立場 |
transcript.whisperx[284].start |
23920.899 |
transcript.whisperx[284].end |
23938.97 |
transcript.whisperx[284].text |
而且這是對台 我們是入超所以特別要保護我們的農漁民這些基層的好的 我昨天跟加工區的業者今天總統跟工具區的業者後天我就會見到農漁民的代表我們會談他業者對本身業界實際上的感受這次政府所提出來的880億 |
transcript.whisperx[285].start |
23945.567 |
transcript.whisperx[285].end |
23974.46 |
transcript.whisperx[285].text |
振興跟紓困的我們整體經濟的這些預算對農運民的部分大概有180億左右180億這180億是否足夠還要做一個更深刻的更深刻的這個座談了解這個部分國民黨可以很清楚的強調我們全力的支持謝謝好不好不能讓我們的基層農運民受到任何的傷害 |
transcript.whisperx[286].start |
23975.713 |
transcript.whisperx[286].end |
24002.704 |
transcript.whisperx[286].text |
畢竟台灣的糧食我們的自給率只有30%其實要仰仗進口如果我們這30%都沒有辦法自給率確保的話對我們農民營毀性的傷害這個是我們承擔不起的台灣不能農食自給農農糧的自給率我們不能嚴重的不足那請院長這個部分 |
transcript.whisperx[287].start |
24009.453 |
transcript.whisperx[287].end |
24024.121 |
transcript.whisperx[287].text |
對於國人的健康我們不能退讓有健康餘力的產品、食品要進入台灣我們還是要保障我們孩子的健康 |
transcript.whisperx[288].start |
24025.872 |
transcript.whisperx[288].end |
24050.507 |
transcript.whisperx[288].text |
這個部分我們可以希望用其他的部分來做替代但是千萬不要讓我們的孩子成長的過程中讓有疑慮的食品來妨礙到我們孩子的健康可以嗎國人健康當然不能打折但是台灣身為國際社會的一員只要符合國際的標準有科學的認證我們在經過國內嚴謹的程序 |
transcript.whisperx[289].start |
24052.95 |
transcript.whisperx[289].end |
24076.708 |
transcript.whisperx[289].text |
我覺得這個是我們在談判過程當中必須表達出來的態度那結論就是我們不會以傷害國人健康來換取不應該有的條件我們現在對美蘇蘇的農產品包括蝴蝶蘭 茶葉 毛豆冷凍魚 鮭魚 鬼頭刀 鱸魚還有其他的相當的產品再請這個院長這部分能夠多所體恤另外就是 |
transcript.whisperx[290].start |
24078.342 |
transcript.whisperx[290].end |
24095.761 |
transcript.whisperx[290].text |
我希望有一個談判的方式能夠給行政院因為我們大家其實是廣義為台灣好我們所有談判的我們的基礎我們自己要能夠掌握住所以在這裡要特別跟院長來分享我們看一下台積電對美銷售的狀況 |
transcript.whisperx[291].start |
24101.325 |
transcript.whisperx[291].end |
24123.893 |
transcript.whisperx[291].text |
他一年大概是兩兆八千九百四十三億台幣的產值對美的輸出六十八點八二大概是六百零七億美金這是台積電六百零七億美金輸往美國再看一下聯電北京今天只談這兩個其實還有很多周邊對美輸出的IT產業半導體產業 |
transcript.whisperx[292].start |
24127.065 |
transcript.whisperx[292].end |
24136.612 |
transcript.whisperx[292].text |
是17.6億美金輸往美國院長這個數字非常重要所以這兩個部分光台積電跟聯電 |
transcript.whisperx[293].start |
24138.612 |
transcript.whisperx[293].end |
24163.458 |
transcript.whisperx[293].text |
我們對美的輸出就是624.6億美金而這個部分是在IT agreement裡面是基本上在4月4號以前是零關稅的所以我們對美的出鈔649億美金大多部分是我們零關稅的產業過去的 |
transcript.whisperx[294].start |
24165.6 |
transcript.whisperx[294].end |
24192.258 |
transcript.whisperx[294].text |
是事實上除扣掉這些以外其實台灣的其他產業這些傳產的部分對美國並不是出潮而是入潮但是這個部分我們明明是入潮但是對美輸出卻莫名的加上32%的累加的關稅這對台灣是非常非常不公平的 |
transcript.whisperx[295].start |
24193.598 |
transcript.whisperx[295].end |
24221.09 |
transcript.whisperx[295].text |
所以院長本席特別提醒我們對美其實扣掉IT產業半導體產業周邊產業我們對美其實是入朝的所以莫名的冠上這32%的關稅我們要據理力爭尤其台積電尤其台積電對美現在川普總統說要對美投資2000億美金這2000億美金 |
transcript.whisperx[296].start |
24224.175 |
transcript.whisperx[296].end |
24236.872 |
transcript.whisperx[296].text |
我們既然已經要投資美國兩千億美金的台積電還有包括聯電未來可能都會成為美聯電台積電成為美積電不會在這種情況之下院長我們務實的講應該告訴美國政府 |
transcript.whisperx[297].start |
24241.727 |
transcript.whisperx[297].end |
24264.164 |
transcript.whisperx[297].text |
這些都是對美大宗投資甚至把Intel他們有問題的公司都有台積電蓋過來承受所以其實台灣其他的這些傳產對美國是入潮的不應該灌上32%的要把真實的數字把它確實理清好不好 院長 |
transcript.whisperx[298].start |
24265.843 |
transcript.whisperx[298].end |
24288.567 |
transcript.whisperx[298].text |
台灣對美國的這個輸入的輸到美國的產品工業產品加起來1114億啦其中有差不多65%左右就集中在自通訊跟電子產業上面700多億當中這個現在還有一些是在豁免的美國還會有下一步的這個政策所以過去造成的649億的 |
transcript.whisperx[299].start |
24293.308 |
transcript.whisperx[299].end |
24310.853 |
transcript.whisperx[299].text |
初超其實這是一個虛幻的數字並不是真實因為那個部分本身本身雙方都是零關稅所以我們很務實的看台灣的傳產基本上是入超的所以這個部分要拜託也請院長 |
transcript.whisperx[300].start |
24313.195 |
transcript.whisperx[300].end |
24336.392 |
transcript.whisperx[300].text |
鄭麗君副院長他有溝通的長才跟協調本席了解董秘辛秘書長有他的專業我們都了解也都認同但是如果過去我們APEC領袖會議所敦請的張忠謀先生他又代表台積電為了要投資美國兩千億的這樣的台積電他如果能夠代表我國過去 |
transcript.whisperx[301].start |
24337.433 |
transcript.whisperx[301].end |
24359.579 |
transcript.whisperx[301].text |
來跟美國來做談判的話我相信對台灣人的權益的爭取有相當大的幫助我們希望廣開我們廣開 散門只要對台灣有利的部分我們盡可能的邀請他們加入談判的夥伴可以嗎謝謝委員的建議我們最近展開產業之旅也跟個別的業者有一些溝通跟座談的機會 |
transcript.whisperx[302].start |
24360.479 |
transcript.whisperx[302].end |
24388.038 |
transcript.whisperx[302].text |
我可以跟委員報告所有的業者對於跟留台灣以及台灣加一這樣的想法都非常的一致會把台灣成為繼續的高科技領先關鍵地位謝謝院長那談判的過程我們會請教他們的意見時間的關係因為大家都愛台灣我們在這裡生活大家都習慣在台灣也愛台灣當然都願意跟留台灣但是要讓跟留台灣的產業能夠繼續活下去包括 |
transcript.whisperx[303].start |
24389.594 |
transcript.whisperx[303].end |
24398.54 |
transcript.whisperx[303].text |
整個當製造業 整個產業受到撞擊的時候我們的各行各業 服務業 觀光業全部會受到重創 |
transcript.whisperx[304].start |
24400.206 |
transcript.whisperx[304].end |
24424.98 |
transcript.whisperx[304].text |
這就是整個骨牌效應大家面對嚴重的不景氣從1930年美國的大蕭條我們看到前車之鑒所以希望這次的談判全國國人都希望我們談判是成功的能夠保護到我們的傳產能夠繼續的生存所以院長我們要拜託大家對於行政院所提出對美另外投資 |
transcript.whisperx[305].start |
24426.421 |
transcript.whisperx[305].end |
24453.479 |
transcript.whisperx[305].text |
國家政府基金再投資兩千億美金六兆六千億台幣我們希望能夠顧及到台灣本體產業還是有足夠的力量能夠來支持確保我們自己的銀彈是充足的好不好好 謝謝傅坤傑委員質詢謝謝卓院長各相關部會所長的備詢接下來我們請登記第三位黃國昌委員請質詢 |
transcript.whisperx[306].start |
24456.36 |
transcript.whisperx[306].end |
24457.561 |
transcript.whisperx[306].text |
蔡議員請準備謝謝院長 麻煩有請卓院長麻煩再請卓院長備選 |
transcript.whisperx[307].start |
24490.96 |
transcript.whisperx[307].end |
24515.568 |
transcript.whisperx[307].text |
黃偉豪院長好 星期一院長召集朝野各黨團到行政院的時候我當面代表台灣民眾黨立法院黨團跟您表示過對台灣民眾黨而言我們一定把國家利益放在第一位謝謝因此當天您願意來立法院報告我們在禮拜二的時候馬上排了第一個案子 |
transcript.whisperx[308].start |
24516.496 |
transcript.whisperx[308].end |
24544.894 |
transcript.whisperx[308].text |
第二個當天行政院所交給我們的書面報告裡面提到產業創新條例希望趕快完成三讀台灣民眾黨在禮拜二的時候把他排成第二案但是我們希望當在野黨都有心我們要一起為國家艱難的時刻奮鬥的時候我希望民主進步黨作為一個執政黨禮拜二本來搶卷條例就可以完成二讀跟三讀了 |
transcript.whisperx[309].start |
24545.629 |
transcript.whisperx[309].end |
24569.98 |
transcript.whisperx[309].text |
杯葛了一天繼續空轉希望執政黨立院黨團的同仁大家也可以共同努力完成行政院期待的立法院長贊不贊成我希望大院的議事能夠順利的進行先排除一些大家爭議的如果能夠協商那一定很快能夠進入到正常的議事OK 我想禮拜二這個場景大家看了心裡都很痛苦 |
transcript.whisperx[310].start |
24570.942 |
transcript.whisperx[310].end |
24592.228 |
transcript.whisperx[310].text |
行政院要慘狀條例三讀我們也願意配合我相信坐在上面的院長禮拜二也很無奈但現在沒辦法了我們試試看下個禮拜五的時候把它完成二讀跟三讀我們一起來努力接下來有關於台美在進行有關於關稅談判的時候我相信是進入了省水區 |
transcript.whisperx[311].start |
24593.508 |
transcript.whisperx[311].end |
24612.569 |
transcript.whisperx[311].text |
進入深水區的時候我們從一些基本的問題開始談起院長你認為川普總統要的是什麼他要的是零關稅還是零逆差我認為他是在追求貿易平衡排除不公平包括零逆差以及排除關稅貿易障礙 |
transcript.whisperx[312].start |
24613.669 |
transcript.whisperx[312].end |
24637.66 |
transcript.whisperx[312].text |
其實你剛剛講一句話,我不是很贊同你說的是川普總統在追求公平貿易這句話非常說的Diplomatic全世界都在追求但是我要說的是川普總統在爭取的是美國最高的利益從我們的角度上面來講,我必須要說他所提出來的對等關稅,其實一點都不對等院長你讚不讚成? |
transcript.whisperx[313].start |
24638.462 |
transcript.whisperx[313].end |
24663.373 |
transcript.whisperx[313].text |
因為他的計算公式只有一個公式一個計算產生一個結果對所有的國家都這樣這就是一個相對性的不公平變成相對性的一致性對台灣來講夠不公平我們當然認為我們應該有更好的一個談判的結果你當初第一時間的時候就講了這個所謂的對等關稅有三大不公平行政院表達了行政院的立場我覺得非常好 |
transcript.whisperx[314].start |
24664.116 |
transcript.whisperx[314].end |
24686.518 |
transcript.whisperx[314].text |
川普總統站在美國人的立場,追求美國的利益,我們國家的政府就應該站在台灣人的立場,追求台灣人的利益。你說了,他的攻勢有非常大的問題,我想最近這段時間當中,非常多不僅僅是美國的學者,甚至是台灣的學者跟評論員,大家都提出了相對的批評跟觀察。 |
transcript.whisperx[315].start |
24687.899 |
transcript.whisperx[315].end |
24709.525 |
transcript.whisperx[315].text |
甚至在美國貿易代表署裡面他所提出來的計算公式裡面被引用文獻的學者自己都跳出來了說川普這個計算公式是錯的基本上還要再除以4這個是他所引用的文獻的學者所講的那現在的關鍵是什麼現在的關鍵是我們要的是什麼 |
transcript.whisperx[316].start |
24715.461 |
transcript.whisperx[316].end |
24741.523 |
transcript.whisperx[316].text |
我們願意付出什麼我們手上還有什麼籌碼院長 接下來在進行跟美國談判的時候啊你覺得台灣要的是什麼我們在...談話跟美國的合作接續過去的台美經貿專業小組以及現在這幾天當中 一個禮拜當中持續開會我們當然有列出一些想法 策略及應對的一些內容我們願意付出什麼代價 |
transcript.whisperx[317].start |
24742.671 |
transcript.whisperx[317].end |
24763.554 |
transcript.whisperx[317].text |
付出什麼代價因為國際貿易嘛有得有失嘛他希望對美國好一點我們的政府應該希望對台灣好一點嗎策略方面我大概不容易勉強但是我們可能付出就是我們必須在關稅對等的這個情況不是對等關稅喔是雙方面關稅對等的情況之下我們可能要做一些調適 |
transcript.whisperx[318].start |
24764.495 |
transcript.whisperx[318].end |
24780.262 |
transcript.whisperx[318].text |
而且我們在排除非關稅障礙的那個非關稅障礙等一下我再進一步請教我們就從你剛剛所講的關稅對等嘛剛剛你說關稅對等不是對等關稅嘛是互相之間的關稅對等互相之間的關稅對等我們來看一下我們的賴總統從林立立開始談嘛 |
transcript.whisperx[319].start |
24788.581 |
transcript.whisperx[319].end |
24809.255 |
transcript.whisperx[319].text |
他在彭博的投書講得很清楚啦我們願意在互惠的基礎上面把關稅調到零這個是他在彭博上面的投書我想我應該沒有誤會啊這樣的意思他說從零關稅談起這是一個談判的態度來來來我唸給你聽啊We are willing to further cut this rate to zero |
transcript.whisperx[320].start |
24810.236 |
transcript.whisperx[320].end |
24827.483 |
transcript.whisperx[320].text |
我們願意把關稅調降到零這個英文沒有那麼難理解啦在互惠的基礎之上現在我的問題就要來了所以我們接下來我們願意把關稅調降到零只要在互惠的基礎之上指的是說如果美國願意調降到零我們也願意調降到零嗎 |
transcript.whisperx[321].start |
24828.462 |
transcript.whisperx[321].end |
24844.501 |
transcript.whisperx[321].text |
這是一個基本的態度這是一個基本的態度但是要看對國內的產業的衝擊我們可能這個方面也要列為一個國內產業的衝擊就是我們的政府應該要站在人民的立場去思考的事情剛你講一件事情我基本上是同意是說對於 |
transcript.whisperx[322].start |
24846.752 |
transcript.whisperx[322].end |
24868.021 |
transcript.whisperx[322].text |
台灣談判的策略我們一定尊重行政團隊但是現在直接把我們願意做的事情在媒體上面投書的其實是我們的總統他願意展現出一個態度我覺得不必然是壞事但是我今天只想要提醒院長一件非常重要的事情在國際貿易上 |
transcript.whisperx[323].start |
24870.182 |
transcript.whisperx[323].end |
24877.253 |
transcript.whisperx[323].text |
我們跟美國之間有得有失但是在國內哪些產業會因此而受益哪些產業會因此而受衝擊 |
transcript.whisperx[324].start |
24881.823 |
transcript.whisperx[324].end |
24902.177 |
transcript.whisperx[324].text |
在得失之間怎麼樣去平衡怎麼樣去分配這是一個非常重要的事情我為什麼說這是一個非常重要的事情來我進一步請教我們在追求跟美國之間的是什麼樣子的平等互惠是什麼樣的對等互惠是我們片面配合還是我們會爭取跟美國簽訂BTA |
transcript.whisperx[325].start |
24904.485 |
transcript.whisperx[325].end |
24920.876 |
transcript.whisperx[325].text |
原則上是希望透過雙邊的關係來談到比方說FTA或者是美加莫的USMCA這樣的方式所以不管是FTA或者是你剛講的基本上就是台美之間的貿易協定 |
transcript.whisperx[326].start |
24922.196 |
transcript.whisperx[326].end |
24944.252 |
transcript.whisperx[326].text |
針對台美之間的貿易協定把所有條件都寫在裡面嘛你們讓什麼我們讓什麼你們希望我們改善什麼我們希望你們配合什麼我們在21世紀貿易倡議當中也是朝這個方向但是21世紀貿易倡議有去在這一次美國總統片面的對台灣增加關稅這件事情有扮演什麼角色嗎 |
transcript.whisperx[327].start |
24944.952 |
transcript.whisperx[327].end |
24963.627 |
transcript.whisperx[327].text |
沒有啊全體國人看到了就沒有啊我們的確簽了21世紀貿易倡議啊當初有這個倡議國人也很高興啊結果現在看到的是什麼簽了這個SO WHAT當美國總統片面的要對台灣增加關稅的時候我必須要跟院長強調 |
transcript.whisperx[328].start |
24965.359 |
transcript.whisperx[328].end |
24981.58 |
transcript.whisperx[328].text |
我再說一次川普站在美國人的立場爭取美國人的利益我沒有話說啦雖然我覺得對台灣不公平對台灣不合理但是我們回到國內的時候國內的團結很重要但是我們也希望什麼我們的政府 |
transcript.whisperx[329].start |
24982.12 |
transcript.whisperx[329].end |
24997.912 |
transcript.whisperx[329].text |
一定要站在台灣人的立場爭取台灣最高的利益我相信院長跟我的看法是一模一樣的因此我下一個問題是我們現在到底是要片面配合美方的要求還是我們要爭取跟他簽BTA |
transcript.whisperx[330].start |
24999.513 |
transcript.whisperx[330].end |
25013.224 |
transcript.whisperx[330].text |
這個態度 這個方向很重要具體的底牌是什麼具體的策略是什麼我們不會過問太多我們給行政部門充分的空間是不是以簽訂BTA來當作接下來要求的方向 |
transcript.whisperx[331].start |
25015.525 |
transcript.whisperx[331].end |
25034.744 |
transcript.whisperx[331].text |
絕對不是一個片面的單方面的做某種程度的改變而已所以所謂談判一定是在某一個基礎上面是 所以是不是DTA當作我們爭取的目標您就說是就好了嘛這個問題有這麼難回答嗎這就是談判的一個策略我這樣講好了啦 |
transcript.whisperx[332].start |
25036.038 |
transcript.whisperx[332].end |
25060.316 |
transcript.whisperx[332].text |
我代表台灣民眾黨立法院黨團在國會裡面我大聲的大聲疾呼希望美國把我們當成真正的盟友我們是民主盟友我們的很多高科技的產品我們也希望跟美國那邊的產業產生互補的作用請把台灣當成盟友什麼叫做請把台灣當成盟友 |
transcript.whisperx[333].start |
25060.996 |
transcript.whisperx[333].end |
25078.596 |
transcript.whisperx[333].text |
我們要追求對等我們要追求互惠這個我都同意在兩個國家之間貿易談判的時候有得有失這個我也同意但是如果把我們當成盟友的話我們最後談成的條件是什麼我希望 |
transcript.whisperx[334].start |
25079.477 |
transcript.whisperx[334].end |
25107.715 |
transcript.whisperx[334].text |
我希望 我也希望我們的政府大力跟美國政府爭取在野黨 做你們最強的後盾做你們最強的後盾去爭取 跟美國簽訂BPA如果現在我們已經在最優先的談判的行列國家當中這就是一個善意那兩情相悅的情況底下我覺得我們可以爭取最好的一個對台灣最有利的一個位置 |
transcript.whisperx[335].start |
25108.649 |
transcript.whisperx[335].end |
25133.165 |
transcript.whisperx[335].text |
我只希望我們的政府去談的時候大聲幫台灣人說話爭取我們最好的條件剛剛有委員問到說我們願意把關稅在互惠的基礎上面砍到零包括農產品嗎農產品我們有WTO的相關的規定在包括稻米我想這個就是已經既有的規定你覺得現在川普政府的遊戲規則有遵守WTO的規範嗎 |
transcript.whisperx[336].start |
25136.701 |
transcript.whisperx[336].end |
25156.779 |
transcript.whisperx[336].text |
至少我們願意這樣遵守,用這個來做對等的基礎所以我們如果要對等的話,就不是什麼他們不遵守,我們要遵守嘛現在我在講的,是基本的態度跟立場的問題因為中南部,非常多的農漁民發出了聲音農業部部長在你旁邊,我相信部長都聽到了 |
transcript.whisperx[337].start |
25157.537 |
transcript.whisperx[337].end |
25183.962 |
transcript.whisperx[337].text |
但是我一樣強調的一件事情農漁民的權益不可以被犧牲剛剛我在質詢的時候我問了一個其實是最關鍵的問題我們願意配合到什麼程度我們能夠爭取到什麼我們手上還有什麼籌碼 |
transcript.whisperx[338].start |
25185.582 |
transcript.whisperx[338].end |
25206.012 |
transcript.whisperx[338].text |
這個都是全體國人大家非常關心的事情因為它會牽涉到國內產業彼此之間橫貧的問題在這個過程當中院長你贊不贊成整個社會乃至於國會在整個經貿談判的過程當中都應該要能夠扮演一定的角色您贊不贊成 |
transcript.whisperx[339].start |
25209.029 |
transcript.whisperx[339].end |
25222.503 |
transcript.whisperx[339].text |
國會當然有國會重要的角色就未來我們對產業的支持當然需要國會的支持我講的不是未來對產業的支持喔國家對外貿易的談判事前事中事後都應該要有社會跟國會的參與這個基本的立場院長贊不贊成 |
transcript.whisperx[340].start |
25227.355 |
transcript.whisperx[340].end |
25254.788 |
transcript.whisperx[340].text |
事前我想剛剛委員也一再尊重行政院談判的策略所以我們能夠報告的我那一天基本上向大家說明一些那現在正在發展當中的隨著情勢我提醒一下喔 院長來看一下國家對外的貿易談判事前事中事後都會有國會參與是先進國家的立法例這個是當初小英總統講的 |
transcript.whisperx[341].start |
25256.366 |
transcript.whisperx[341].end |
25270.31 |
transcript.whisperx[341].text |
這一次您所挑選的經貿談判的代表鄭麗君正副院長也是我之前很好的朋友她也說啦不是只有事後的監督委簽署之前的談判過程就要讓社會參與院長這個態度民進黨還支不支持 |
transcript.whisperx[342].start |
25275.222 |
transcript.whisperx[342].end |
25298.787 |
transcript.whisperx[342].text |
所以報告委員我那天嘗試就是做這樣的一個溝通讓大家知道我們已經在做什麼的努力我們準備啟動什麼樣的方式但是非超在我的部分我們極力的爭取當我們有進一步的進展需要讓國會進一步的了解支持的時候我們自然要向國會或向社會沒有關係啦因為我現在只剩下一分多鐘一分多鐘我要問最後一個關鍵的問題我只希望民進黨 |
transcript.whisperx[343].start |
25300.014 |
transcript.whisperx[343].end |
25312.548 |
transcript.whisperx[343].text |
不要忘了當初的理想讓公民社會參與讓國會參與這個都是當初民進黨喔從蔡英文總統就提出來的主張但我最關心的事情是我必須要老實講 |
transcript.whisperx[344].start |
25313.737 |
transcript.whisperx[344].end |
25333.809 |
transcript.whisperx[344].text |
今天我看到你們所提出來的報告之前我跟部長要衝擊影響評估然後我發函去跟經濟部要中青院的評估報告經濟部不願意給說今天你會做報告所以我一直等我等到今天下午一點半拿到你們書面報告了以後我從頭到尾拜讀 |
transcript.whisperx[345].start |
25334.95 |
transcript.whisperx[345].end |
25354.279 |
transcript.whisperx[345].text |
讀完了以後大概就是把經濟部那天回函給我的文字再貼上去我就簡單問一件事情是我們現在衝擊影響評估做好了吧現在在投影片上面有很多表格有三個情境一個是現在我們可能願意跟對方談的零關稅 |
transcript.whisperx[346].start |
25355.575 |
transcript.whisperx[346].end |
25383.492 |
transcript.whisperx[346].text |
另外一個是川普在演了90天我們可能談到的其中一個deal是10%那最後一個是我們最不想要看到的事情是32%那不管是0%的關稅對國內的產業會有很大的衝擊喔10%的關稅也一樣但我今天從您的報告裡面對我關心的這些數字我上面什麼數字也沒有填我為什麼什麼數字也沒有填我找不到答案 |
transcript.whisperx[347].start |
25385.287 |
transcript.whisperx[347].end |
25394.651 |
transcript.whisperx[347].text |
都在這裡的資料裡面但是這牽扯到產業上一些尚不足以對外宣布的事情我們想以後等到一個事情更定案之後我們再來我再說一次啊 店長這些是自然的 我剛剛說的都是全體國內的關係 |
transcript.whisperx[348].start |
25425.433 |
transcript.whisperx[348].end |
25437.899 |
transcript.whisperx[348].text |
我希望什麼時候行政院能夠負責任根據你我的說法好 謝謝黃國昌委質詢謝謝主委長 各部會首長的備詢接下來我們請登記第四位蔡易瑜委員質詢王洪威委員請準備 |
transcript.whisperx[349].start |
25461.102 |
transcript.whisperx[349].end |
25473.308 |
transcript.whisperx[349].text |
好謝謝院長那我們是不是有請我們行政院我們卓院長那以及我們經濟部郭部長跟農業部我們陳部長麻煩再請行政院長卓院長備詢農業部經濟部請備詢 |
transcript.whisperx[350].start |
25483.513 |
transcript.whisperx[350].end |
25493.809 |
transcript.whisperx[350].text |
蔡委員好院長好院長那我想從清明的連假基本上大家對於川普所發布的這個對等關稅 |
transcript.whisperx[351].start |
25496.243 |
transcript.whisperx[351].end |
25524.218 |
transcript.whisperx[351].text |
全世界當然台灣也沒有在例外多在關注這件事所以從他宣布對等關稅後他宣布了這一個公式到目前為止這個公式還是讓大家陷在一片迷惑之中他用台灣可能對於美國的出鈔然後除以這個貿易額所以有一個64的數字然後再把它除以2然後變成32就被台灣課了32%的關稅 |
transcript.whisperx[352].start |
25525.979 |
transcript.whisperx[352].end |
25547.037 |
transcript.whisperx[352].text |
那這個32%的關稅我們當然會跟鄰近的國家開始比較我們就看到了日本是24 韓國是25 越南46 柬埔寨49那甚至新加坡相對比較低10%所以這件事情當然會讓整個產業 哇這個真的大家非常的擔心 會恐慌 |
transcript.whisperx[353].start |
25547.757 |
transcript.whisperx[353].end |
25564.443 |
transcript.whisperx[353].text |
所以股市會連續的跌停我覺得這種擔心的心情而且在於整個產業從禮拜一就接受了美國很多的訂單咧就讓人家說這樣東西先暫緩就等於讓我們拖累啦拖累就是賣過你說這三十二%人民價要上購所以這個產業界現在都陷入了一片恐慌之中然後在四月九號 |
transcript.whisperx[354].start |
25577.153 |
transcript.whisperx[354].end |
25593.494 |
transcript.whisperx[354].text |
4月9號的時候又另外宣布了說原來這個關稅可以暫緩90天然後就是以10%當然這個10%對於現在的很多產業來說這個稅率也是有提高但是跟32當然很大的差異所以現在 |
transcript.whisperx[355].start |
25595.014 |
transcript.whisperx[355].end |
25622.44 |
transcript.whisperx[355].text |
90天就是黃金的90天我們就要趕快加速來談判然後來處理後續整個這個90天裡面我們能不能爭取到更好的關稅那或者是對於台灣包括農產包括我們的水產品的一個出口能不能有相對應的一個保障這些是好多事要做所以我想先請教教院長那整體上你們的看法是怎樣的談判的過程 |
transcript.whisperx[356].start |
25623.36 |
transcript.whisperx[356].end |
25648.364 |
transcript.whisperx[356].text |
就是現在90天當中我們當然爭取最好的時機盡快進行談判那目前我們已經總統也對外說了我們已經在這個優先名單的國家當中所以談判的準備過程從過去到現在府院以及國安會外交部以及經濟部及經貿工作小組台美經貿專案小組都已經還有經貿辦公室都已經通力合作準備很多的資料 |
transcript.whisperx[357].start |
25648.857 |
transcript.whisperx[357].end |
25669.506 |
transcript.whisperx[357].text |
相對應我們準備在正式可以啟動的那個時候就把所有的資料完整的向美國提出我們有整套的想法包括採購貿易等等還有我們排除這個非關稅貿易障礙等等的努力以前到現在所做的以及現在雙方對等關係能夠持續在做的都在這個談判的策略內容當中 |
transcript.whisperx[358].start |
25670.366 |
transcript.whisperx[358].end |
25685.799 |
transcript.whisperx[358].text |
所以我想院長從你剛剛的專案報告跟你剛剛的回答你對接下來我們要開始展開對美國的這樣的談判你是充滿著你要替國家爭取最大的一個建設所以你們一定會做好最大的努力 |
transcript.whisperx[359].start |
25687.64 |
transcript.whisperx[359].end |
25710.87 |
transcript.whisperx[359].text |
不到最後一刻一定都不會放棄對不對我們當然不會放棄爭取國家最大的利益因為台灣我們有很好的經濟體質產業結構鏈而且台灣對世界來講也是在產業供應鏈上重要的地位台灣不容許發生任何的變動當然 守護我們的產業非常重要但是我是很遺憾啦我從這一個禮拜我看到了不團結的台灣 |
transcript.whisperx[360].start |
25712.045 |
transcript.whisperx[360].end |
25725.562 |
transcript.whisperx[360].text |
台灣面對這樣的一個關稅美國對等關稅這樣的一個大危機的時候我們卻看到國內的在野黨不管是藍不管是白不斷的唱衰台灣我給大家放一個影片這剛才在我前面 |
transcript.whisperx[361].start |
25731.308 |
transcript.whisperx[361].end |
25746.303 |
transcript.whisperx[361].text |
柯家的32%的高關稅生效了沒有?從現在12點,今天的12點開始生效對嘛,我剛剛在下面聽有委員問你說要爭取要延緩生效,你還說你會盡量努力,我坐在下面聽完全聽不懂 |
transcript.whisperx[362].start |
25748.746 |
transcript.whisperx[362].end |
25776.624 |
transcript.whisperx[362].text |
這樣而已,十八秒啦,他就是會笑話啦我那一陣子,我跟我們的郭部長說,我們就是要去請署啊既然我們賴總統已經說出我們從零關稅開始談判那就要爭取延緩嘛結果他在質詢的時候,他在笑咧在嬉笑說已經開始了,你看民進黨談判無力那甚至咧,看到了國民黨副總統候選人 |
transcript.whisperx[363].start |
25778.645 |
transcript.whisperx[363].end |
25797.563 |
transcript.whisperx[363].text |
還在那邊講說要停止對美國的投資然後更多的國民黨立委跳出來說要對美國跟中國一樣採取報復性的一個關稅那我覺得這樣的一個心態就是要跟台灣、台牛做行動一樣到目前為止中國面對的美國關稅不是125%是145% |
transcript.whisperx[364].start |
25802.875 |
transcript.whisperx[364].end |
25827.221 |
transcript.whisperx[364].text |
那甚至我們還看到了川普除了145%以外他還說你從中國小額包裹的關稅小額包裹就是那些小行的可能那些網購的東西有30% 要求來90%我都有看到 今天有一個所謂叫做120%所以他的小額包裹不只中國連包括香港小額包裹的處理的到美國的也要求120% |
transcript.whisperx[365].start |
25829.824 |
transcript.whisperx[365].end |
25859.507 |
transcript.whisperx[365].text |
所以這對於這個中國面對的戰的一個他們要跟美國要對抗的一個結果台灣怎麼可以跟中國走一樣的路這件事情非常的嚴重所以我再次呼籲院長我們在談判的時候我們要站在台灣的基礎的一個立場我們如同賴總統所說的我們跟美國是民主夥伴我們應該要好好去談我們跟美國在產業上的一個互補我們跟美國很多產業我們可以互相幫忙但是 |
transcript.whisperx[366].start |
25859.867 |
transcript.whisperx[366].end |
25865.458 |
transcript.whisperx[366].text |
如何守護好對於我們的產業的一個完整性這個是我們一定要堅持的沒有錯吧 |
transcript.whisperx[367].start |
25866.623 |
transcript.whisperx[367].end |
25894.374 |
transcript.whisperx[367].text |
好 謝謝剛剛部長的那段答話我覺得態度非常正確就是在進行談判跟事先的溝通當中爭取不到最後關頭絕不放棄爭取平等互惠不到最後關頭也絕不放棄平等互惠那我們在台灣我們堅持我們就是台灣隊台灣就是世界隊就不會是中國隊我們對我們的席產地跟違規轉運等等的問題將來我們已經大力的來查緝事前事中事後一定嚴防這些事情讓全世界知道 |
transcript.whisperx[368].start |
25895.474 |
transcript.whisperx[368].end |
25914.682 |
transcript.whisperx[368].text |
臺灣就是臺灣 院長你說的重點嘛 稀產地啦所以現在稀產地這件事就是說我們事實上看得到這一次的關稅雖然川普他花都花很快 可是我發現他還是一套邏輯你看看關稅課最重的包括柬埔寨49 包括越南46包括泰國的39 我們臺灣32也是重 |
transcript.whisperx[369].start |
25917.456 |
transcript.whisperx[369].end |
25933.648 |
transcript.whisperx[369].text |
這中間都有帶有這幾個國家都是高度會被中國用貿易來影響也就是這些國家都很容易變成中國席產地的一個基地所以這幾個國家放棄了就不可以所以我們現在還看到國民黨陳玉珍的離島建設條例 |
transcript.whisperx[370].start |
25935.749 |
transcript.whisperx[370].end |
25949.298 |
transcript.whisperx[370].text |
18條之一他為了便利大陸人民資金物品商品進出離島自由貿易示範區就是他的金門然後要鬆綁相關規定然後這些相關規定由金門縣政府來定義 |
transcript.whisperx[371].start |
25950.459 |
transcript.whisperx[371].end |
25971.451 |
transcript.whisperx[371].text |
只給行政院中央備查就是他們要完全鬆綁相關的規定然後讓金門一咬爪變成我們台灣中國要把商品來台灣悉產地的後門會不會變這樣我們對於人流物流金流技術等等我們會嚴加的防範 |
transcript.whisperx[372].start |
25973.106 |
transcript.whisperx[372].end |
25994.501 |
transcript.whisperx[372].text |
針對國家安全 經濟安全的威脅我們都要列為將來嚴格控管尤其剛剛齊展力未來經濟部一定是在這方面執行者是不是讓郭部長能夠來說明報告委員 我想經濟部的態度是這樣子對於這個不當轉運的貨物我們有五項措施第一個 加強對中國貨品進口台灣以及出口美國的監測 |
transcript.whisperx[373].start |
25995.984 |
transcript.whisperx[373].end |
26025.039 |
transcript.whisperx[373].text |
第二個 加強對業者的宣導我們先宣導 讓他們知道那接下來建立違規業者的名單把他list up 然後不斷地去監測第四個 他如果再犯我們將採法重研第五個 我們現在在進行的有很多是運用反傾銷的措施然後我們充分地去調查防止中國到台灣來吸產地 |
transcript.whisperx[374].start |
26026.359 |
transcript.whisperx[374].end |
26050.671 |
transcript.whisperx[374].text |
所以重點台灣如何嚴懲現在在國內有可能涉及到這個棲產地的這些企業就防止投機的企業第二個關於像這樣的離島建設條例我覺得我們一定要盯緊不能讓他通過那我想院長你在前陣子我們處理了一個來自中國的一個配偶一個叫雅雅雅雅被離開台灣的時候他講了一句話 |
transcript.whisperx[375].start |
26053.107 |
transcript.whisperx[375].end |
26063.398 |
transcript.whisperx[375].text |
他說他要被推到萬劫不復的深淵這讓我想到 我就想說這一深淵日本就有一個漫畫叫做來自深淵 |
transcript.whisperx[376].start |
26065.108 |
transcript.whisperx[376].end |
26090.093 |
transcript.whisperx[376].text |
這個來自深淵還有幾個定義意思是你去深淵裡面你就會受到深淵的詛咒你每要離開深淵十公尺往上升十公尺你就會受到各種不適應你到了第六層深淵的詛咒會讓你變成了叫做深海或者叫做慘末這個叫什麼慘劇周末這個來自深淵這個意思就是說 |
transcript.whisperx[377].start |
26094.405 |
transcript.whisperx[377].end |
26110.534 |
transcript.whisperx[377].text |
他有他的漫畫,他是一個叫土比之人的漫畫但是當雅雅說他會被推到深淵,中國就是深淵你一旦跟中國過了太久,你就會被他綁住像現在很多台商,他的資金跑不出來 |
transcript.whisperx[378].start |
26111.514 |
transcript.whisperx[378].end |
26140.261 |
transcript.whisperx[378].text |
像很多我們台灣的技術被中國拿去 他們用海盜版的國家傳播 大家卡閉嘴我們台灣的技術優勢沒有了所以這個 我覺得這個都很帶有很大的一些意涵就是我們台灣要小心我們就千萬我們的經濟 不可以去跟中國白做壞這個我想是很清楚的所以當國民黨在面對美國關稅的時候他不斷的在嘲諷我們政府之外他還推了幾個聲明其中有一個叫做開放入客 |
transcript.whisperx[379].start |
26141.101 |
transcript.whisperx[379].end |
26169.256 |
transcript.whisperx[379].text |
我想要請教院長 到底開放入客跟美國跟我們課這個關稅 以及現在的關稅談判有什麼關係這有什麼關係嗎請教院長 因為我真的不知道這是長期以來我們在產業的經營上對中方過多依賴造成的一個結果但這幾年來我們認為雖然我們的觀光業者還是非常的辛苦但來自於天災地變的影響很大我們希望引進世界更多國家的國際友人來到台灣 |
transcript.whisperx[380].start |
26170.076 |
transcript.whisperx[380].end |
26198.994 |
transcript.whisperx[380].text |
應該把台灣建設好台灣就成為一個吸收國際觀光旅遊的一個地方不是把市場放在這個台灣是歡迎全世界來嘛所以這要來台灣旅遊都很棒但是我們的市場我們自己要守護住嘛院長剛剛講的很有道理啦所以我覺得說面對現在我們在談判的這個90天那我想要具體跟院長提出兩個建議在面對談判的時候我們國內可以做什麼第一個就是我剛剛有講現在香港 |
transcript.whisperx[381].start |
26200.323 |
transcript.whisperx[381].end |
26225.724 |
transcript.whisperx[381].text |
基本上美國對於香港已經不把它視為一個獨立的特區所以美國在於它的行政命令13936號行政命令他們說香港貨品不再獲得優惠的關稅以及香港在貿易出口的一個管制簽證要比照中國那原本香港製造叫做Make in Hong Kong現在都必須標誌為Make in China |
transcript.whisperx[382].start |
26226.565 |
transcript.whisperx[382].end |
26243.337 |
transcript.whisperx[382].text |
那我想要跟部長說,現在我們台灣在面對香港製的商品的時候,一樣是Make in Hong Kong,不是Make in China。所以我覺得已經到了一個關鍵的時間點,就是檢討我們現在香港澳門的一個特殊條例的時刻了。 |
transcript.whisperx[383].start |
26245.472 |
transcript.whisperx[383].end |
26264.542 |
transcript.whisperx[383].text |
那如果我們要處理這個港澳條例在處理香港的身份的時候難免會涉及到說人權畢竟很多香港的朋友們他們也不希望當中國人所以我們台灣是利用港澳條例給他們一些特殊的一些通關特殊的渠道但是咧 |
transcript.whisperx[384].start |
26265.919 |
transcript.whisperx[384].end |
26289.441 |
transcript.whisperx[384].text |
如果像港澳條例31條關於香港人可以准用外國人投資跟結會的規定或者是港澳條例第35條這個港澳的貿易得以直接為之就是剛才我說的Make in 香港不是Make in China這兩條都要停止 |
transcript.whisperx[385].start |
26290.58 |
transcript.whisperx[385].end |
26310.767 |
transcript.whisperx[385].text |
所以我具體跟院長堅決說依據港澳條例60條如果發生特殊的一個情況危害台灣地區的安全的時候行政院可以依這個60條停止本條例的一部分或者全部分停止之後再送給立法院來做追論 |
transcript.whisperx[386].start |
26311.994 |
transcript.whisperx[386].end |
26331.309 |
transcript.whisperx[386].text |
那我想這個追亂也是給現在的藍白一個機會到底他還要繼續經濟跟中國綁在一起還是我們要對外宣示台灣不能變成中國洗產地的基地尤其他們都透過香港的投資來到台灣這件事應該要杜絕了好不好院長 |
transcript.whisperx[387].start |
26331.989 |
transcript.whisperx[387].end |
26358.895 |
transcript.whisperx[387].text |
我尊重委員用這樣的方式在大院裡面取得協調的共識我也會要陸委會朝這個方向來做研議因為港澳問題它不能再用它的歷史因素來考量了它有它現在港澳跟中國之間跟過去不同的政治經濟地位的問題所以我們必須用現狀來考量據國家安全 經濟安全我希望香港跟我們的貿易不能變成一個劃外之地法的劃外之地 |
transcript.whisperx[388].start |
26359.355 |
transcript.whisperx[388].end |
26388.738 |
transcript.whisperx[388].text |
那第二個我的一個建議因為我們接下來要跟美國擴大投資我們既然要擴大投資我們投資能源是一個很好的選項所以我們現在也有在阿拉斯加要跟美國共同開產能源我認為這件事情我們現在應該要提出特別預算要看看藍白要不要支持這個法案他們到底在台灣遇到危機的時候我們台灣遇到需要全國團結的時候藍白要不然我們站著會還是他要繼續的唱衰台灣抵制台灣 |
transcript.whisperx[389].start |
26389.398 |
transcript.whisperx[389].end |
26413.396 |
transcript.whisperx[389].text |
好,謝謝蔡委員,謝謝左院長 |
transcript.whisperx[390].start |
26416.587 |
transcript.whisperx[390].end |
26419.27 |
transcript.whisperx[390].text |
下一位請王宏威委員質詢好 謝謝主席我請卓院長 經濟部長 農業部長請備詢 |
transcript.whisperx[391].start |
26447.786 |
transcript.whisperx[391].end |
26463.741 |
transcript.whisperx[391].text |
我首先要回應剛才前面兩位民進黨立委在質詢的時候對於包含在野政黨或者是我們的縣市首長積極回應這次美國高關稅的影響 |
transcript.whisperx[392].start |
26464.682 |
transcript.whisperx[392].end |
26493.831 |
transcript.whisperx[392].text |
把他污名化成為是唱衰台灣或者刻意作對我覺得這是完完全全的抹黑完完全全的扭曲而且在現在一個國家危難當頭如果作為執政黨的委員還要繼續的在國內找敵人我覺得第一個這不但不能夠解決問題而且只是製造問題我想院長這幾天應該有很深的感受 |
transcript.whisperx[393].start |
26494.591 |
transcript.whisperx[393].end |
26512.457 |
transcript.whisperx[393].text |
包含星期一我們這個院長邀請朝野政黨的黨團幹部我們都非常積極而且善意的前往而且針對行政院所提出來的相關的法案如果我們可以支持的我們立刻表達支持 |
transcript.whisperx[394].start |
26513.217 |
transcript.whisperx[394].end |
26533.815 |
transcript.whisperx[394].text |
如果我們覺得有疑慮的地方我們也希望行政院來做說明跟再做研究我想院長應該有很深的體驗另外我們的在野的縣市首長積極的去回應在縣市內所有這些產業也好勞工也好 |
transcript.whisperx[395].start |
26534.235 |
transcript.whisperx[395].end |
26547.644 |
transcript.whisperx[395].text |
他們的疑慮有何不對所以我在這邊首先要對這樣還在繼續的去抹黑繼續的在國內找敵人我認為七七以為不可這不是解決問題這是製造問題好我想先請教院長我們一直在關心我們跟美國的交涉那我也有注意到賴總統提到說我們會成為首波跟美國交涉的國家 |
transcript.whisperx[396].start |
26564.315 |
transcript.whisperx[396].end |
26590.71 |
transcript.whisperx[396].text |
因為以現在來講起碼有75個國家要跟美國做交涉然後呢到昨天為止現在傳出的消息大概有15個國家已經分別在交涉也許還沒有成功比如說像越南雖然立刻打電話但是還沒有完全成功好 所以請問院長所謂的首播我希望我們都有科學的依據嘛 |
transcript.whisperx[397].start |
26591.65 |
transcript.whisperx[397].end |
26605.392 |
transcript.whisperx[397].text |
所以如果还剩下60个国家的话请问一下我们是在前10个国家呢还是前20个国家然后最晚我们预定一个目标交涉的时间最晚在什么时间之前会达成 |
transcript.whisperx[398].start |
26606.172 |
transcript.whisperx[398].end |
26629.945 |
transcript.whisperx[398].text |
好 報告委員75個國家或15個國家我想到目前我都還沒有看到哪一個國家說我已經談了什麼或我已經談到什麼都沒有一個國家主動這樣在說所以我想我們也不例外我們認為還沒有發生的事情我們讓他有醞釀的時間所以院長今天沒有辦法答覆我我們最晚 因為現在是有三個月還好有三個月的緩衝期 |
transcript.whisperx[399].start |
26631.326 |
transcript.whisperx[399].end |
26653.768 |
transcript.whisperx[399].text |
所以沒有辦法答覆我別說起碼我在4月20號之前或在4月底之前我至少可以跟美國完成第一波交涉可以嗎我講說第一波交涉第一波交涉什麼時候開始什麼時候結束我想也沒有任何一個國家知道還是沒有時間表我只能說我昨天在行政院會對我說的我們會再爭取最佳最快的時間 |
transcript.whisperx[400].start |
26654.713 |
transcript.whisperx[400].end |
26681.338 |
transcript.whisperx[400].text |
向美國做出最直接跟有力的交涉好 那另外其實今天大家這兩天大家非常關心賴總統投書的賴四條我想一個一個的來做一個理解第一個就是之前就講我們要從零關稅談起因為那天到行政院我也特別講那個報告裡面完全沒有零關稅可是這個零關稅談起事實上引起高度的重視 |
transcript.whisperx[401].start |
26682.498 |
transcript.whisperx[401].end |
26697.266 |
transcript.whisperx[401].text |
那我想請問一下我們農業部部長農業產品會不會談零關稅我跟委員報告第一件事情就是農產業跟工商業的產業是不一樣的農產業本身我們未來在跟美國做談判跟溝通的時候一定會秉持著要維持我們產業的穩定跟永續發展 |
transcript.whisperx[402].start |
26705.731 |
transcript.whisperx[402].end |
26711.597 |
transcript.whisperx[402].text |
不排除有農業產品從離關稅談起是這個意思嗎我跟你講我們農業的產品以現在的稅者號列裡面是157項但是157項裡面有一些是我們產業非常重要的那這個重要的我們希望說能夠繼續維持 |
transcript.whisperx[403].start |
26722.509 |
transcript.whisperx[403].end |
26746.01 |
transcript.whisperx[403].text |
我为什么特别讲因为我们对美国来台湾的农业产品贸易加权平均税率是9.3%距离零关税事实上有9.3%我们的工业产品是1.4%当然每一个产业不一样所以它区域零关税是比较接近 |
transcript.whisperx[404].start |
26747.371 |
transcript.whisperx[404].end |
26753.314 |
transcript.whisperx[404].text |
農業產品事實上它的稅率是差距很大我在這邊具體的來做建議因為我們對美的這個產品農業只佔1%工業產品佔99%所以我在這邊具體的建議先排除農業產品 |
transcript.whisperx[405].start |
26765.581 |
transcript.whisperx[405].end |
26779.906 |
transcript.whisperx[405].text |
先排除農業產品因為我覺得要跟農民先做充分的對話好來第二點我們要增加對美採購2000億美元這個是我們部長在立法院也做答詢請問買什麼東西部長 |
transcript.whisperx[406].start |
26784.509 |
transcript.whisperx[406].end |
26807.124 |
transcript.whisperx[406].text |
買什麼東西 這個因為是談判的籌碼所以抱歉 現在不能夠大躍大躍就是我們需要的什麼樣項目啊我們國內有需要的包括能源相關的產品還有只買能源能源或者科技的產品剛才的農業的產品擴大農產品的採購 |
transcript.whisperx[407].start |
26813.742 |
transcript.whisperx[407].end |
26821.688 |
transcript.whisperx[407].text |
我們農業部長都沒有講,因為我時間有限,我讓經濟部長講一講。我剛才已經跟你們報告了。就這樣啦?這是什麼答案?好,我要特別講,我也做一個具體建議,因為剛才那個院長也特別提到,就是我們會參與美國阿拉斯加的天然氣開發, |
transcript.whisperx[408].start |
26837.256 |
transcript.whisperx[408].end |
26863.094 |
transcript.whisperx[408].text |
这个开发案过去就有他们也跟日韩兜售了很久日本韩国恐怕这一次也没有办法阻挡我了解但是我在这边提醒以我们现在中油已经累计亏损高达691亿元我希望这个投资也好或者采购也好不能够再增加中油的亏损我的具体的建议和要求 |
transcript.whisperx[409].start |
26864.154 |
transcript.whisperx[409].end |
26888.603 |
transcript.whisperx[409].text |
請你們在評估的過程裡面考慮到國營事業台電已經被搞到累積虧損超過4000億我不希望再看到中油也變成一個錢坑另外一個錢坑這是我具體建議好再來增加對美國投資這個是無法避免的尤其台積電已經宣布其實我們現在還有投審會這一關照理說 |
transcript.whisperx[410].start |
26891.824 |
transcript.whisperx[410].end |
26909.017 |
transcript.whisperx[410].text |
我們投選會進一步投選會不能應該變成虛設可是我們現在關心的問題是一哥台積電到美國投資兩千億美元那麼很多人擔心變成美積電好現在又傳出我們的二哥半導體二哥聯電 |
transcript.whisperx[411].start |
26910.638 |
transcript.whisperx[411].end |
26936.877 |
transcript.whisperx[411].text |
也可能會做合併雖然部長我也注意到你說這是不可能的事情可是常常我們官員中不可能的事情最後都變成可能了例如台積電所以二哥聯電現在也被人稱之為會變成美聯電好再來我們更擔心的是早在今年二月份我們很多的科技產業的代工廠集體到美國 |
transcript.whisperx[412].start |
26938.018 |
transcript.whisperx[412].end |
26965.534 |
transcript.whisperx[412].text |
然後因為美國不僅僅只是要求只是要台積電跟聯電而已因為我們自己也講了我們要組成這個台美聯隊嘛所以現在德州希望打造德州竹科我們更擔心的是不是只有一哥二哥去連整個科學園區會不會也都搬到美國所以在整個增加對美投資裡面 |
transcript.whisperx[413].start |
26967.965 |
transcript.whisperx[413].end |
26987.711 |
transcript.whisperx[413].text |
產業會被出走形成台灣產業空洞化第二個能不能跟流台灣院長部長我希望在這個部分也請你們能夠做評估因為我知道你現在全部的時間是放在怎麼去對美國交涉這個我能理解 |
transcript.whisperx[414].start |
26988.351 |
transcript.whisperx[414].end |
27002.15 |
transcript.whisperx[414].text |
可是如何避免台灣的產業出走產業空洞化如何讓我們的產業能夠跟流台灣這是非常重要的事情請做評估好另外院長 |
transcript.whisperx[415].start |
27003.703 |
transcript.whisperx[415].end |
27028.885 |
transcript.whisperx[415].text |
我們總統特別提到非關稅貿易障礙我想直接因為其實非關稅貿易障礙美國一直常年指責我們是很多項我在這邊具體的請教其中有一個是根據是我們的食品安全也就是針對美牛美豬當然不是只有針對美國就是豬肉 |
transcript.whisperx[416].start |
27029.926 |
transcript.whisperx[416].end |
27034.189 |
transcript.whisperx[416].text |
牛肉要標示產地美國認為這是一個非關稅貿易障礙所以請問一下這個我們會不會讓 |
transcript.whisperx[417].start |
27038.749 |
transcript.whisperx[417].end |
27064.363 |
transcript.whisperx[417].text |
好 我剛剛提到很多問題啦這個先問 因為我時間有限這個我就是非關稅貿易障礙其實我覺得這個問題很大啦並不亞於我們的關稅稅率我請教一下這是我們很多的民眾關係的食安問題所以標示美豬美牛也不是只有標因為他們還要標示啊別說你是澳洲的啊來自於西班牙什麼東西之類好 有關於產品 |
transcript.whisperx[418].start |
27065.504 |
transcript.whisperx[418].end |
27075.211 |
transcript.whisperx[418].text |
牛豬的標示我們會不會因為因此而取消第一個考慮到國人的健康再來國內市場消費的習慣但是如果我們也有國際的 |
transcript.whisperx[419].start |
27076.514 |
transcript.whisperx[419].end |
27100.285 |
transcript.whisperx[419].text |
標準跟經過科學的證據我想要橫平起來考量就是說如果是一個國際社會共同的標準那在台灣我們如何在國人健康跟消費市場習慣上面做怎麼樣的一個區別這不是現在用這樣子來對話因為主角不在現場主角的一方不在現場這必須是談判的過程我們據理力爭台灣有台灣國內的狀況 |
transcript.whisperx[420].start |
27101.325 |
transcript.whisperx[420].end |
27120.616 |
transcript.whisperx[420].text |
所以其實我覺得賴總統投書我認為有很大的問題因為非關稅貿易障礙我必須講如果非關稅貿易障礙那麼容易解決的話馬總統時代就會解決蔡英文總統時代也可以解決如果那麼容易解決的話 |
transcript.whisperx[421].start |
27122.085 |
transcript.whisperx[421].end |
27139.958 |
transcript.whisperx[421].text |
其實之前的總統政府都已經可以解決這個就牽涉到很多我們民眾不管我這邊沒有談到的比如稻米的問題對不對還有檢驗的問題但是對一般老百姓認為我要知道來自我吃的豬肉 |
transcript.whisperx[422].start |
27140.518 |
transcript.whisperx[422].end |
27162.613 |
transcript.whisperx[422].text |
牛肉應該要標示產地我長期在餐廳也看到標示我長期到超市也看到標示然後現在美國人告訴我不能標示我們能不能讓我覺得這個部分一定要有社會的對話這一點其實那天在行政院裡面我也特別講院長希望我們能支持但是我說我們沒有辦法現在就說yes因為如果沒有社會對話我們沒有辦法面對廣大的國人 |
transcript.whisperx[423].start |
27166.595 |
transcript.whisperx[423].end |
27184.261 |
transcript.whisperx[423].text |
還有一個是很多家長非常關心的現在基改食品不能夠進入校園事實上我們是有法有名定我們是法的規定因為保障我們營養午餐孩子的食安所以這一項其實也長期被美國人認為是非關稅貿易障礙 |
transcript.whisperx[424].start |
27187.122 |
transcript.whisperx[424].end |
27215.638 |
transcript.whisperx[424].text |
一直要求我們不能對基改食品有任何的歧視包含這個關稅的這個科目還有就是在校園的禁止所以我請問院長有沒有可能在這次談判裡面我們會把開放校園能夠讓基改食品進入校園這一點會不會放基本的原則跟我剛剛答覆的一樣不過我也知道大院裡面的委員會目前也在審慎的在評估甚至做這個 |
transcript.whisperx[425].start |
27216.585 |
transcript.whisperx[425].end |
27236.058 |
transcript.whisperx[425].text |
對這案子本身提出一些建議我們會看這個建議的內容我們來所以我的結論是不要隨便一下就說我們可以去取消非關稅貿易障礙沒有跟民眾的對話我認為這是極為危險的事情台北之間的非關稅貿易障礙 |
transcript.whisperx[426].start |
27237.54 |
transcript.whisperx[426].end |
27263.658 |
transcript.whisperx[426].text |
範圍也是蠻大的有一些部分我們可以衡量雙方對等互惠的關係我要講其實你可以看到我提到的這些項目是一般消費者一般民眾有些是基於產業上的考量我這邊提到的都是一般民眾在心理上跟他們在食安上是難以接受的所以這一點我不希望我們立刻就什麼全部都讓出去 |
transcript.whisperx[427].start |
27264.238 |
transcript.whisperx[427].end |
27279.787 |
transcript.whisperx[427].text |
我們全部都讓出去的話我覺得我們沒有辦法對這些消費者跟家長來交代好另外很重要的我們在這次的所謂的對內支援也就是紓困方案裡面當然理解但是主要是在於 |
transcript.whisperx[428].start |
27280.667 |
transcript.whisperx[428].end |
27297.885 |
transcript.whisperx[428].text |
因為關稅而受創的這些產業但是我們有很多的服務業他們同時他們也是會間接的受影響譬如說觀光業因為大家已經開始評估這是全球評估不是台灣因為整個受到 |
transcript.whisperx[429].start |
27298.746 |
transcript.whisperx[429].end |
27314.525 |
transcript.whisperx[429].text |
美国高关税的影响可能都影响全球的旅游市场所以我在这边具体的建议希望当行政院提出整个纾困方案的时候能够把观光业纳入 |
transcript.whisperx[430].start |
27315.186 |
transcript.whisperx[430].end |
27338.914 |
transcript.whisperx[430].text |
因為我們去年本來我們的目標一千萬塊根本達不成今年第一季應該可以成長但是我看這樣子一半夯上來但又很難所以我們現在有五十年旅行社都已經倒閉了大家都苦撐待變所以希望能把觀光業納入紓困的項目另外一個具體的台鐵能不能動漲院長 |
transcript.whisperx[431].start |
27341.696 |
transcript.whisperx[431].end |
27344.763 |
transcript.whisperx[431].text |
30年沒有調漲我了解但選在這個時間6月23號調漲請問一下台鐵可不可以研究暫時動漲 |
transcript.whisperx[432].start |
27390.357 |
transcript.whisperx[432].end |
27418.641 |
transcript.whisperx[432].text |
好 謝謝王委員 謝謝卓院長 還有各位首長下一位我們請邱志偉委員質詢好 謝謝主席 有請行政院卓院長 |
transcript.whisperx[433].start |
27419.718 |
transcript.whisperx[433].end |
27420.999 |
transcript.whisperx[433].text |
邱委員好邱委員好邱委員長辛苦了大家都辛苦了天有不適風雲,能有旦夕後福國家一定會面臨到相對的挑戰對不對 |
transcript.whisperx[434].start |
27441.687 |
transcript.whisperx[434].end |
27470.315 |
transcript.whisperx[434].text |
也有似乎會變成危機危機是轉機好的政府要能了解危機的所在要能提出有效的方法所以這一次的川普對的關稅我想事出必有因就是貿易失衡貿易失衡他的整個經濟會受到影響他的就業機會受到影響所以他用很多的方式包括關稅來平衡他的貿易的失衡對不對 |
transcript.whisperx[435].start |
27471.618 |
transcript.whisperx[435].end |
27498.199 |
transcript.whisperx[435].text |
所以它是一個任何的對外經貿政策它的核心決定是現實主義現在不存在理想主義啦你同意嗎?現實主義的核心是什麼?就國家利益你要達成國家利益每個領導者有他不同的思維跟做法川普的思維他是第二任對不對?他第一任到第二任他的思維的邏輯是他是有常態性的變動或變動性的常態化 |
transcript.whisperx[436].start |
27501.564 |
transcript.whisperx[436].end |
27511.195 |
transcript.whisperx[436].text |
他要營造什麼不曉得他在想什麼沒有人可以知道他在想什麼知道最後一刻他要營造什麼他要營造天威難測 |
transcript.whisperx[437].start |
27513.359 |
transcript.whisperx[437].end |
27534.609 |
transcript.whisperx[437].text |
因為美國是當前最強的國家嘛 對不對所以他透過跟所有的主要貿易國利用關稅的方式但我認為很多都是演習從4月2號他發布行政命令從4月5號他公布主要的貿易順沙國還有額外科徵11%到50%的稅率4月9號他又說暫緩90天 對不對 |
transcript.whisperx[438].start |
27541.992 |
transcript.whisperx[438].end |
27566.891 |
transcript.whisperx[438].text |
唯一執行上路是哪一個國家唯一執行關稅有上路是哪一個國家中國一百二十五%對不對所以這個全球貿易戰它是劍指中國其他的我覺得只是貿易戰的一演習九十天你本來台灣是初步核定三十二 |
transcript.whisperx[439].start |
27567.844 |
transcript.whisperx[439].end |
27586.858 |
transcript.whisperx[439].text |
他核定的標準大概很清楚就是我們對美的貿易順差他希望透過關稅來平衡對台灣排美的貿易的這個失衡狀況所以這種情況之下未來90天是非常非常的關鍵可操之在己的部分 院長 |
transcript.whisperx[440].start |
27588.904 |
transcript.whisperx[440].end |
27607.829 |
transcript.whisperx[440].text |
我認為可操之在我們政府可以取決的繼續來強化台灣農工產業的國際競爭力另外繼續均衡不是台灣而已要均衡全球的貿易市場加強全球的貿易行銷第三個繼續要全面盤點對當前農工產品的關稅的稅率 |
transcript.whisperx[441].start |
27614.775 |
transcript.whisperx[441].end |
27643.708 |
transcript.whisperx[441].text |
沒有錯吧然後要繼續強化政府國際經貿談判的能力跟人力這是可操縱在我們部分那另外當然我要想請教一些比較具體的問題好這個最壞的狀況90天之後他用32%的稅率來實施我們當然不希望這種情況最壞的scenario是這樣子 |
transcript.whisperx[442].start |
27645.131 |
transcript.whisperx[442].end |
27665.955 |
transcript.whisperx[442].text |
那我們目前穩定的措施有20項的這個措施用881對不對那您的說法是用各部會用相關的預算來移緩季節那會不會派到相關政策的推動我是說在特別條例特別預算還沒有 |
transcript.whisperx[443].start |
27666.581 |
transcript.whisperx[443].end |
27683.691 |
transcript.whisperx[443].text |
完全通過之前 目前已經產生的產業界的任何的傷害你的意思是說880億 880億在還沒有特別預算通過之前先用移緩季節的方式部會內部的預算移緩季節到最後還是要用特別預算來通過這880億因為這規模相當龐大另外10年之內你要對美的採購金額請經濟部郭部長 |
transcript.whisperx[444].start |
27691.361 |
transcript.whisperx[444].end |
27704.831 |
transcript.whisperx[444].text |
經濟部郭部長請郭部長部長的說法是10年之內要2000億美金對不對大概就是6.5兆的規模那一年是多少一年是6500億對美國採購這已經是政府的政策嗎 |
transcript.whisperx[445].start |
27710.643 |
transcript.whisperx[445].end |
27722.661 |
transcript.whisperx[445].text |
我們從去年開始就認為把美國當作一個國際市場那我們能夠對美國增加採購也是基於國家各種的需求跟產業的需求所以去年就開始做一些清單的盤整 |
transcript.whisperx[446].start |
27723.993 |
transcript.whisperx[446].end |
27738.236 |
transcript.whisperx[446].text |
所以未來十年會執行每年6500億對美國採購嗎這是經濟部跟民間跟我們國營事業盤整出來的一個結果目前的這是我們的意向嘛 對不對我作為一個國營員我要監督這個預算的執行跟編列嘛所以我們6500億怎麼來呢這是政府跟國營事業對美國的採購的規劃金額6500億我6500億請教部長6500億裁員在哪裡呢 |
transcript.whisperx[447].start |
27752.699 |
transcript.whisperx[447].end |
27775.09 |
transcript.whisperx[447].text |
基本上還是如果是我們的企業嘛就企業就買進來賣的所以他當然是有財源不是你說的是政府跟國營企業加強對美國包括能源包括這個軍售這些要花這個兩千億美金我們所盤點出來的是國營企業 |
transcript.whisperx[448].start |
27778.632 |
transcript.whisperx[448].end |
27797.154 |
transcript.whisperx[448].text |
跟相關的這個周邊的企業他的需求你沒有淘到民間喔我很注意看你主持人的說法民間的我們還沒有算啊只有政府跟國民事業要投兩千億美金在未來十年對不對十年啊因為十年一年是六千五百億耶這規模很大不是每一年平均的嘛 |
transcript.whisperx[449].start |
27798.563 |
transcript.whisperx[449].end |
27806.266 |
transcript.whisperx[449].text |
我們買LNG回來他會再賣出去所以這個基金是滾動的我們這個其實都有盤點過我們跟美國買東西不一定要自己用我也買 因為我買大包對不對 |
transcript.whisperx[450].start |
27821.991 |
transcript.whisperx[450].end |
27843.284 |
transcript.whisperx[450].text |
我相信美國看到這個數字一定會很開心嘛那我站在一個這個國議院我會憂心說財源夠不夠另外這個包括外交部這個林部長也包括這個談判辦談判辦今天是楊談判總代表就是跟美國要磋商或談判已經掛號掛號是什麼意思 |
transcript.whisperx[451].start |
27846.141 |
transcript.whisperx[451].end |
27872.082 |
transcript.whisperx[451].text |
就是在75個國家是貿易代表署還是跟他們具體哪一個單位沒有沒有就在75個國家裡面的優先的這個國家的排序掛號要有大咧當然不是那種形式上的掛號只是我們接觸的過程當中已經得到這樣的訊息我們可以在優先的國家裡面來談判是跟哪一個單位在掛號是白宮的幕僚內閣還是國際貿易代表署 |
transcript.whisperx[452].start |
27875.225 |
transcript.whisperx[452].end |
27899.244 |
transcript.whisperx[452].text |
我跟委員說明我們駐美代表處都有跟美國政府有聯繫也表達了不只是公開的總統的談話或者是我們經貿談判辦公室希望跟他們建立談判的管道也就雙邊關心的議題都有在交換意見 |
transcript.whisperx[453].start |
27900.225 |
transcript.whisperx[453].end |
27925.377 |
transcript.whisperx[453].text |
所以未來90天一定會有具體的談判的單位具體的談判的時程會有談判的計畫會有談判的成果對 就是在協調中接下來我要請教一下這個央行楊總裁另外這個央行陳總裁跟央行的這個楊總裁跟這個金管會彭主委金管會彭主委預備請 |
transcript.whisperx[454].start |
27929.144 |
transcript.whisperx[454].end |
27930.804 |
transcript.whisperx[454].text |
時間過得很快我想請教一下院長跟總裁我們把美債作為談判的籌碼談判小組裡面有沒有包括央行就有了解是沒有您的建議是說美債作為談判的籌碼 |
transcript.whisperx[455].start |
27957.282 |
transcript.whisperx[455].end |
27972.972 |
transcript.whisperx[455].text |
是一個可以思考是你贊成能不能跟你說得更清楚你是要買新的美債持高它的持股的水位還是要用去現有的美債去換它未來更多的無息的美債沒有 |
transcript.whisperx[456].start |
27975.648 |
transcript.whisperx[456].end |
27993.543 |
transcript.whisperx[456].text |
那個委員在質詢我的時候,他只是說我們持有美債,那因為我們持有美債的時候呢,說實在的是因為美國逆差,美國逆差的時候呢,我們去購買他的美債呢,是可以降低他的融資成本。 |
transcript.whisperx[457].start |
27994.278 |
transcript.whisperx[457].end |
28010.023 |
transcript.whisperx[457].text |
那如果說從這個觀點來看的話我們也是對他有貢獻的那我們要怎麼做我們具體的做所以他就是說他質詢我的時候呢我就說這個也可以喔這個idea也是很好我只是這麼說而已所以沒有具體內容 |
transcript.whisperx[458].start |
28011.386 |
transcript.whisperx[458].end |
28034.167 |
transcript.whisperx[458].text |
具體內容就是說我們可以跟他說因為我們持有他的美債數量也蠻龐大的我們大概80%以上都是持有美國債券的是談判的籌碼還是談判的手段那手段跟籌碼大概是差不多吧 |
transcript.whisperx[459].start |
28036.597 |
transcript.whisperx[459].end |
28063.362 |
transcript.whisperx[459].text |
我也說有沒有新的做法因為這個是idea而已啦他做這樣的一個質詢的時候我認為就是說他的這個好像也是可以啊那這個是一個idea嘛那你要怎麼給這個談判小組一個建議怎麼善用美在這個工具我看看如果說他們覺得就是說這個如果說這個是值得去談判的時候那我們可以提供我們的數據給他 |
transcript.whisperx[460].start |
28064.662 |
transcript.whisperx[460].end |
28088.479 |
transcript.whisperx[460].text |
好 謝謝楊總裁金管會的部分怎麼樣落實執行金融知識產業方案彭主委你大概提出幾個包括就有貸款的展言強化信訪基金的能量這些我想這個我都了解你要怎麼具體落實相關的銀行能夠確實達到你的政策的目標 |
transcript.whisperx[461].start |
28089.139 |
transcript.whisperx[461].end |
28113.552 |
transcript.whisperx[461].text |
是 報告委員我想我們大概其實我們在過去最近一次經驗就是我們在疫情時候相關的措施那我們在下禮拜我們大概就會邀集銀行來針對這部分針對這一次的這個方案怎麼樣去做延展主委我提醒您特別是中小微企業因為我的選區你知道金屬、鉤建、鋼鐵都是中小型企業傳統產業他們有跟我澄清變成一個平台 |
transcript.whisperx[462].start |
28115.393 |
transcript.whisperx[462].end |
28127.26 |
transcript.whisperx[462].text |
包括貸款的展延或者是融資的問題我也只能請你們多幫忙所以這部分你要有更多的窗口讓他們及時能夠找到主管機關能夠解決他們的問題 |
transcript.whisperx[463].start |
28130.232 |
transcript.whisperx[463].end |
28142.636 |
transcript.whisperx[463].text |
這也是我們接下來努力的方向我想這部分我們已經會立刻展開行動然後再跟銀行這邊 銀行公會這邊謝謝來執行這項工作謝謝洪主委 謝謝我們楊總裁另外就是說我們加強對美國的採購國防預算GDP整體我們的目標是3美國相關的主管人員也認為說應該跟美國一樣到3.4院長你認為到3.4有沒有困難 |
transcript.whisperx[464].start |
28159.176 |
transcript.whisperx[464].end |
28184.177 |
transcript.whisperx[464].text |
我們基於自己國家財政能力的評估以及我們現在需要的國防力量跟我們能夠採購的對象項目我們認為如果在今年這個年度依照總統所說的 往3%的目標來前進的話我們是足以來宣竿 也是國家最需要的目標就是到3% 下一屆到3.4%另外就是說除了軟體硬體 |
transcript.whisperx[465].start |
28185.578 |
transcript.whisperx[465].end |
28191.436 |
transcript.whisperx[465].text |
做軍事的設備之外相當於軍事服務的採購這個部分能不能再強化軍事服務的採購 |
transcript.whisperx[466].start |
28192.557 |
transcript.whisperx[466].end |
28221.666 |
transcript.whisperx[466].text |
我希望國防預算的定義他應該也不是那麼侷限比方說像有些國家包括美國他把退伍軍人的一些福利都放下去了那軍事服務的軍事的服務項目我認為這個也應該是廣泛計算在裡面那如果是連動性很強的我想我們會盡力爭取就整個我提供一個訊息就是說我們跟美國的軍事的採購有兩種管道一個是商售DCS 一個是軍售FMS 對不對 |
transcript.whisperx[467].start |
28222.846 |
transcript.whisperx[467].end |
28250.483 |
transcript.whisperx[467].text |
軍售是不包括對美採購的金額裡面商售是可以 對不對所以未來我們不需要軍售是不是可以改成商售比如說它不是尖端或者是機敏性的軍事設備不是F35類似或者是可以軍民共用或者我們已經有在地的國防業者國防產業也是信賴產業 對不對我們很多包括我選舉的漢翔也是國營企業 |
transcript.whisperx[468].start |
28252.143 |
transcript.whisperx[468].end |
28275.469 |
transcript.whisperx[468].text |
所以有很多優質的廠商我是覺得如果用商售的管道所以這部分我可能要請院長去注意一下可以用商售的就這樣用商售容許這個部分我們將來在談的過程當中我們一一來清點把它的性質種類品項分清楚我了解很多軍方各軍種他們的本位主義說他還是希望用軍售 |
transcript.whisperx[469].start |
28276.801 |
transcript.whisperx[469].end |
28305.014 |
transcript.whisperx[469].text |
我不曉得什麼原因啦這個他們可能有他們的看法但是為了平衡對美國貿易的這個順差那個你從均壽可以均壽把它轉成商售那當然是好的一個途徑嘛這個委員放心政府是一體的國家的利益是唯一的我們用這個方向來想好最後30秒就是投資台灣啦投資台灣三大方案那個從2019開始到2021然後要繼續延三年到2020年底嘛那現在我們把這個 |
transcript.whisperx[470].start |
28306.234 |
transcript.whisperx[470].end |
28334.915 |
transcript.whisperx[470].text |
資格把他放到全球的台商對不對全球台商都可以回來然後給他更多的這些優惠那投資台灣三大方案現在我看到所有網站裡面都沒有更新資料啊喔 對不起那我們要求馬上來做是不是很具體讓這些全球台商想要回來的能夠知道政府新的內容我都看不到耶主要都看不到好 謝謝謝謝院長辛苦了好 謝謝邱委員謝謝卓院長 |
transcript.whisperx[471].start |
28340.305 |
transcript.whisperx[471].end |
28360.952 |
transcript.whisperx[471].text |
下一位我們請吳宗憲委員質詢吳宗憲委員質詢完畢,我們休息五分鐘謝謝主席我們要請院長、經濟部長及農業部長左院長、經濟部長、農業部長請備詢 |
transcript.whisperx[472].start |
28375.204 |
transcript.whisperx[472].end |
28398.787 |
transcript.whisperx[472].text |
吳委員好院長及兩位部長好 辛苦你們了我想說我這邊先直接就開始談我想距離美國要實施對等關稅的日期還有89天我想這暴風雨就在我們的前面我們沒有辦法阻止這個壞事不發生至少我們能夠讓它的影響能夠降到最低 |
transcript.whisperx[473].start |
28399.844 |
transcript.whisperx[473].end |
28418.455 |
transcript.whisperx[473].text |
我想在清明年假的時候那時候我們突然得到這個訊息就是美國要對台灣要課這個對等關稅高達32%那民進黨從上到下簡單來說就是我們看動漫的說就是咖啡吧啦啦一下就是呆若木雞這個的反應那國人更是嚇傻 |
transcript.whisperx[474].start |
28420.247 |
transcript.whisperx[474].end |
28447.188 |
transcript.whisperx[474].text |
但是後來因為那個新加坡總理他一個短銀其實在國內是瘋傳嘛那時候我們就回過頭來看看到底我們的政府是不是有像新加坡政府一樣知道自己要做什麼而且一個緊急的去面對但是呢當我們很期待政府有一些比較很好的作為的情況下但是我們卻看到我們今天面對的是他所提出來的東西還是跟以前一樣那即使呢在過去有 |
transcript.whisperx[475].start |
28449.266 |
transcript.whisperx[475].end |
28476.888 |
transcript.whisperx[475].text |
府院那個還有一些國安人員等等的人他們不停的出來洗地那在這樣的情況下其實我們得到的答案還是一樣就是再怎麼樣還是一個880億的一個方案並沒有一個新的東西出來能夠讓我們非常的耳目一新那台灣人民也給了民進黨政府7萬9千多個小時來準備但是我們看到的還是一千零一招就是補貼啦 |
transcript.whisperx[476].start |
28478.149 |
transcript.whisperx[476].end |
28502.37 |
transcript.whisperx[476].text |
那其實關稅這個牽連非常的廣不會像有些人說那關稅 增加關稅跟國民黨什麼關係不會有人這樣子 這個是很奇怪的一個論點所以我們看 森林紡織的那個董事長他在接受那個記者詢問的時候他就有講 他說這一次這個所謂的政府的這個方案其實對於傳產根本沒有幫助 |
transcript.whisperx[477].start |
28503.391 |
transcript.whisperx[477].end |
28530.537 |
transcript.whisperx[477].text |
而且這是一個借錢將來還是得還沒有訂單公司還是走不下去所以訂單是企業能夠活下去的唯一一個方式有健全的市場才會有穩定的訂單我想之前蔡英文總統在競選連任的時候她已經一直不停的吹捧跟美國之間的良好關係甚至講了一副好像我們的FTA快要簽了但是這麼多年過去了我們什麼也都沒有簽 |
transcript.whisperx[478].start |
28531.557 |
transcript.whisperx[478].end |
28539.883 |
transcript.whisperx[478].text |
那賴總統在上任的時候也一直說他跟美國的關係非常的好但是呢到今天我們換到的是一個對等關稅高達32%所以 |
transcript.whisperx[479].start |
28543.243 |
transcript.whisperx[479].end |
28564.95 |
transcript.whisperx[479].text |
我今天是想要請教三個問題想跟院長以及兩位部長確認一下我們先請經濟部長回答一下好了我三個問題第一個問題是2月14號賴清德總統在召開國安會議的時候他有提出了一個全球半導體民主供應鏈夥伴倡議請問這個倡議我們可以阻止什麼以及 |
transcript.whisperx[480].start |
28568.671 |
transcript.whisperx[480].end |
28582.899 |
transcript.whisperx[480].text |
減少影響什麼這是我第一個問題那如果您要抄可以抄第二個問題3月6號台積電的董事長魏哲嘉在總統府跟我們的總統召開記者會他說明對美投資千億美元的這個過程 |
transcript.whisperx[481].start |
28583.439 |
transcript.whisperx[481].end |
28610.397 |
transcript.whisperx[481].text |
那總統特別強調沒有來自於美國的壓力在台積電赴美投資的這個行為中但是呢後來川普卻打臉他說當初跟台積電說如果不來我要收你百分之百的關稅所以顯然我們的政府不是全然沒有掌握清楚他就是選擇性的在隱匿某一些事情所以本席要再確認一件事情就是到底啊媒體報導說台積電跟Intel這個要聯手 |
transcript.whisperx[482].start |
28613.879 |
transcript.whisperx[482].end |
28640.039 |
transcript.whisperx[482].text |
這個是真還是假到底部長有沒有掌握這個訊息那第三個就是4月9號部長你曾經在經濟委員會說聯電跟全球第五大晶圓代工廠美商格羅方德合併美聯電這個傳聞是不可能的那請問部長您真的有掌握百分之百不可能變成美聯電嗎請部長說明這三個問題報告委員基本上對於這種路邊社的傳聞我們是不予評論 |
transcript.whisperx[483].start |
28641.64 |
transcript.whisperx[483].end |
28662.701 |
transcript.whisperx[483].text |
我用比較理智的分析它是不可能的跟委員報告就是這個樣子不管是Global Foundries或者是Intel的事情這個都是傳聞我為什麼跟你講我可以決定說它不可能 |
transcript.whisperx[484].start |
28663.081 |
transcript.whisperx[484].end |
28687.102 |
transcript.whisperx[484].text |
因為他們要去投資必須要經過我們的投選會剛我們講的除了這個之外還有一些什麼全球半導體民主供應鏈的夥伴倡議這個東西到底可以阻止什麼全球半導體因為台灣最大的公司就是台積電 |
transcript.whisperx[485].start |
28688.463 |
transcript.whisperx[485].end |
28711.139 |
transcript.whisperx[485].text |
我們在台灣台積電為什麼會選擇台積電張忠謀董事長曾經講過他選擇台灣是因為他萬一有一些事情要支援的時候兩個小時就可以到他的這個場域任何一個場北部中部南部他的供應鏈要去服務他的場也是兩個小時就可以到所以我們希望讓全球半導體這個領域裡面的供應鏈 |
transcript.whisperx[486].start |
28715.042 |
transcript.whisperx[486].end |
28735.838 |
transcript.whisperx[486].text |
這個供應鏈在所有的民主聯盟裡面因為為什麼美國一直認為說我們對這個出國管制上面要再多努力因為我們在台灣離這個中國比較近所以有一些業者他們可能轉口到新加坡或轉口到馬來西亞進到中國這個是美國所扛剩的 |
transcript.whisperx[487].start |
28736.618 |
transcript.whisperx[487].end |
28755.908 |
transcript.whisperx[487].text |
所以我們為了要保持我們在半島領先的位置所以供應鏈一定要留在台灣還有可以減少影響什麼那我們聽不到我想說這個政策的宣講我看就算了我就不再多請教您了其實我自己看來總統在國安會議的時候會提到說要提出這個夥伴的倡議 |
transcript.whisperx[488].start |
28758.569 |
transcript.whisperx[488].end |
28775.658 |
transcript.whisperx[488].text |
這個很顯然我們就可以合理的懷疑其實似乎早就知道我們的半導體供應鏈似乎可能有外移的風險否則怎麼會在國安會議去提這個我想說你們在面對這次半導體的問題我就找一個零分的卷碼不是刻意蓋題不寫就是你們根本不知道怎麼去回答這個問題 |
transcript.whisperx[489].start |
28779.56 |
transcript.whisperx[489].end |
28796.08 |
transcript.whisperx[489].text |
好 那另外我再請教一下就是說之前經濟部有提出一個就是美國如果提高關稅對我們個別產業評估跟影響裡面有提到半導體還有網通業有14大產業但是我看過那個資料裡面講的 |
transcript.whisperx[490].start |
28796.5 |
transcript.whisperx[490].end |
28815.287 |
transcript.whisperx[490].text |
大部分都是持續評估中或是將持續觀察結果我們這次以為說這次對等關稅會有一個很嚴謹的準備結果透過柯總召我們知道原來我們的預測竟然是極大的失準那再來呢我們也沒有看到政府機關對於這個關稅的意義我們當然要持續評估 |
transcript.whisperx[491].start |
28817.788 |
transcript.whisperx[491].end |
28841.38 |
transcript.whisperx[491].text |
我們這個是動態的評估啦動態的評估沒有辦法在動態進行過程中就可以知道那個final是什麼再來美國貿易代表組其實有提到就是2025年他們對台灣認為有三大的貿易壁壘我想時間的關係我就提供數據給你們好了啦我想因為每次我問東你們就答西啦 |
transcript.whisperx[492].start |
28844.301 |
transcript.whisperx[492].end |
28861.528 |
transcript.whisperx[492].text |
我想經濟部長你昨天在委員會的諮詢有提到如果我們立刻降汽車的關稅這可能會有十多萬的從業人員會大量的失業那之前也有立委包括民黨立委有提到希望調降汽車的關稅但是呢 |
transcript.whisperx[493].start |
28863.568 |
transcript.whisperx[493].end |
28877.176 |
transcript.whisperx[493].text |
經濟部的回應是說這樣會衝擊會讓國家的稅收損失會到523億到600億甚至這個計算還沒有加入上游的一些供應鏈另外車輛工會的評估如果國產廠商關閉造成零組件的廠商外移的話這個產值會到847億 |
transcript.whisperx[494].start |
28888.143 |
transcript.whisperx[494].end |
28908.859 |
transcript.whisperx[494].text |
那從業人員大概是8.26萬人所以我想光是汽車業損失就847.74億那行政院這個880億不知道是怎麼來的請問一下我想請問你們這880億是自己估算出來的還是真的有看我沒有估這個請問你引述的這些資料是從哪裡得到的 |
transcript.whisperx[495].start |
28909.199 |
transcript.whisperx[495].end |
28932.852 |
transcript.whisperx[495].text |
沒關係啊 因為你們就有一些對外的新聞稿裡面新聞的部分 委員你是不是新聞的部分你如果是這樣子的話 可以跟我們直接要好 那沒關係喔 我們來跟你做一個比較具體的報告新聞的報告 新聞的部分我想我們比較沒有辦法提問另外我再請教一下就是說因為賴總統他有說我們這一次我們應對的方式就是加大採購 零關稅以及過去設廠嘛 |
transcript.whisperx[496].start |
28935.894 |
transcript.whisperx[496].end |
28955.049 |
transcript.whisperx[496].text |
其實就這三招啊 其實這三招每一招其實對台灣的傷害都很重委員您在院內的言論也許可以不負責但是你不可以不求證另外我想再提一下稻米的部分我也再說明一下因為你們一直在強調零關稅我想零關稅對農業的傷害很重剛剛幾個委員都有提到這個部分 |
transcript.whisperx[497].start |
28960.712 |
transcript.whisperx[497].end |
28983.805 |
transcript.whisperx[497].text |
從零關稅開始談當然我們非常期望關稅越低越好但是我想說不管從零關稅開始談還是低關稅對於我們的農業一定會有某程度的影響那我自己看了一下稻米的部分因為我看了稻作協會的前理事長陳彥清他有說到水稻產業鏈很龐大 |
transcript.whisperx[498].start |
28984.685 |
transcript.whisperx[498].end |
29011.466 |
transcript.whisperx[498].text |
那個央苗啦到農機啦到肥料啦農藥等等加工運輸他說從業人員大概至少30萬那如果美國他現在進口的稻米我大概看了一下資料他說平均的售價大概是每公斤大概30元可是我們台灣的產米大概50元那這樣子會不會造成將來在購買米的時候大家都挑票我跟委員報告現在目前我們在配額內的六萬四千噸裡面是零關稅的 |
transcript.whisperx[499].start |
29012.367 |
transcript.whisperx[499].end |
29030.078 |
transcript.whisperx[499].text |
第二個部分就是零關稅並不一定是不好的如果它對台灣的產業是有利的那我們一定爭取零關稅像黃曉玉我們需要這些飼料的話我們都希望零關稅但是如果說我們產業是很有競爭力的部分我們就不希望有太高的關稅你們很多人講的嘛 |
transcript.whisperx[500].start |
29031.559 |
transcript.whisperx[500].end |
29050.552 |
transcript.whisperx[500].text |
那個被加重相對應關稅到三級對台灣不見得是壞事這個是貴黨有蠻多人都講過這句話那我想時間的關係我想還有雞肉牛奶等等都有很多問題我想我就不再多說了啦不管怎麼樣就是我覺得我相信我們台灣還是能夠挺過 |
transcript.whisperx[501].start |
29051.593 |
transcript.whisperx[501].end |
29066.918 |
transcript.whisperx[501].text |
一波一波的危機啦但是前提是政府一定要做好準備因為過去的時代裡面我最近看了很多一些台灣的一些過去的傳記在過去的時代裡面其實我們面臨過退出聯合國跟日本斷交跟美國斷交還有兩次的石油危機這些都是考驗台灣人的韌性還有耐力 |
transcript.whisperx[502].start |
29074.541 |
transcript.whisperx[502].end |
29089.594 |
transcript.whisperx[502].text |
不能這個考驗法這種考驗法太殘酷了你這樣考驗台灣的人太殘酷了不用再跟我講那些了您是米朗大哥其實我以前是非常尊重尊敬您的現在也是尊敬1973年其實那個時候我們經歷過石油危機你知道當時經濟部長是誰 |
transcript.whisperx[503].start |
29098.287 |
transcript.whisperx[503].end |
29125.495 |
transcript.whisperx[503].text |
那時候經濟部長叫做孫運璿他在面對石油危機的時候他的處理模式就是他趕快想辦法問了一下駐沙烏地阿拉伯的大使館誰才受國王的信任那大使館跟他說當時的秘書長很受信任所以孫運璿他趕快就做功課然後去找當時曾經來台灣拜訪過而且是他的朋友的那個計畫部長還有那個工商部長透過他們去找到這個秘書長然後來去 |
transcript.whisperx[504].start |
29127.816 |
transcript.whisperx[504].end |
29152.238 |
transcript.whisperx[504].text |
列起管道然後來跟國防見面委員這個你也是事後才知道的當時你也沒有辦法知道啊當時的努力你也沒有辦法知道啊等等跟沙烏地阿拉伯的合作讓他們對我們有非常好的好感那當然他對外還說其實台灣是他們的朋友那讓台灣後來他也是在那個先運跟進運之外就沒有列入先運跟進運 |
transcript.whisperx[505].start |
29153.579 |
transcript.whisperx[505].end |
29171.413 |
transcript.whisperx[505].text |
那他回到國內其實當時物價一直在飆漲因為我看到那個書裡面有人提到說一個鞋廠的老闆說他裝鞋的盒子早裝完價格都不一樣所以他也有一連串這個意志物價通膨等等的做法那我想那個孫盈璇這是前院長 |
transcript.whisperx[506].start |
29172.964 |
transcript.whisperx[506].end |
29188.43 |
transcript.whisperx[506].text |
以前說過說他六個孩子有四個是跟太太生的另外兩個台電跟公園院我們都知道公園院他所孕育出來的機體電路王國在這一次事情之後也許就悄悄的就被送走了那當然 |
transcript.whisperx[507].start |
29190.27 |
transcript.whisperx[507].end |
29212.12 |
transcript.whisperx[507].text |
我想這個是我們心裡難過的一件事徐委員你難過什麼事你難過什麼事要讓我們知道我來化解你的難過你一直難過下去大家都不舒服我絕對不是聽聽謊言就可以解決我心中不難過身為法律人你這樣的講話我是在很難溝通如果你在這樣我要請主席停止時間 |
transcript.whisperx[508].start |
29214.523 |
transcript.whisperx[508].end |
29219.474 |
transcript.whisperx[508].text |
我覺得院長兩位部長我還是很尊敬你們都是國家的棟樑這個我絕對不會否認 |
transcript.whisperx[509].start |
29223.453 |
transcript.whisperx[509].end |
29252.305 |
transcript.whisperx[509].text |
像我們常講一句話責任日語言典型在素行這文天祥、鄭氣歌這兩句話其實都會讓我們去想想前人包括民進黨的前輩們其實對我們的影響他們的風骨以及他們對國家的貢獻所以我才踏入政界一年但是我這一年剛好在政治這個核心裡面看到國家的一些趨勢一些困境那我想其實我們還是要團結我希望說能夠放下鬥爭停止罷免 |
transcript.whisperx[510].start |
29254.228 |
transcript.whisperx[510].end |
29277.862 |
transcript.whisperx[510].text |
然後你想想前人吧 想想人民吧我覺得我們台灣需要是大團結不是大罷免我們不要在同胞裡面找敵人因為我們其實是戰友我們對台灣我們兩個是戰友而不是敵人我覺得我還是蠻希望院長能夠聽聽我這個晚輩的一句話團結吧 團結吧 團結吧 |
transcript.whisperx[511].start |
29284.09 |
transcript.whisperx[511].end |
29292.723 |
transcript.whisperx[511].text |
好 謝謝吳委員 謝謝卓院長我們休息五分鐘 休息之後繼續進行質詢 現在休息 |
transcript.whisperx[512].start |
29647.444 |
transcript.whisperx[512].end |
29647.765 |
transcript.whisperx[512].text |
發言會現在繼續開會 請中委員嘉賓質詢 |
transcript.whisperx[513].start |
29660.015 |
transcript.whisperx[513].end |
29688.902 |
transcript.whisperx[513].text |
主席 在場委員先進 列席的政府局院首長 官員會長 工作夥伴 媒體記者女士先生先有請行政院卓院長那因為總談判代表楊政委員不能上台就請我們國發會劉主委那另外經濟部跟農業部長昨天聽過了我就不請了但是可以幫助我們院長的協助一下那另外也請我們彭金榮彭主委呢代表金管會來上台一共三位卓院長還有劉主委跟彭主委 |
transcript.whisperx[514].start |
29689.329 |
transcript.whisperx[514].end |
29711.093 |
transcript.whisperx[514].text |
好來請卓院長、劉主委、彭主委要不要等一下那個主席,因為彭主委還沒回來我們休息時間不夠,廁所太小他還在休息,進來了嗎?還沒?彭主委有在會場嗎?有 |
transcript.whisperx[515].start |
29716.653 |
transcript.whisperx[515].end |
29726.803 |
transcript.whisperx[515].text |
那沒關係我就先開始啦那他回來就請他上來不好意思謝謝中委好院長好主委好關稅站為中美元自貿區 |
transcript.whisperx[516].start |
29728.629 |
transcript.whisperx[516].end |
29748.366 |
transcript.whisperx[516].text |
同盟成形啊外銷呢要防洗產地內需要降產業衝擊好 來 左院長接下來我要跟你請教的事情跟各位首長請教的事情呢您可以多看一下這個簡報比較容易一目了然那我就請教一下請問您認為川普的關稅清單是目的還是手段 |
transcript.whisperx[517].start |
29749.875 |
transcript.whisperx[517].end |
29774.226 |
transcript.whisperx[517].text |
他透過關稅是要達到他的一個對國家經濟安全的目的所以可能是一個手段好我們看看他開出的清單當中台灣上一頁台灣是十大貿易逆差國的第六名結果排名第一的中國也被開了34%但是中國堅決反制所以他報復提到84%結果很清楚最近我們看到了除了中國之外 |
transcript.whisperx[518].start |
29774.986 |
transcript.whisperx[518].end |
29804.466 |
transcript.whisperx[518].text |
其他的國家都可以等你90天用10%來計算往下看好 那麼對中國的目的是圍堵對其他的國家只要求你來談判我們看到川普他說你中國不公平貿易啊說要跟你加徵關稅欸 達到目的啦現在中國跟他彼此一個是145啊一個是84啊但是他對其他的貿易對手國他說我要跟你加徵關稅但是如果你同意對等關稅0也可以 是不是這樣子 |
transcript.whisperx[519].start |
29805.086 |
transcript.whisperx[519].end |
29832.737 |
transcript.whisperx[519].text |
他的邏輯是不是這樣?大體上是他認為可以跟他繼續談判雙方平等互惠的原則底下對等之下可能零都可以對等但是有一個國家馬上跳出來說我願意零叫越南但是呢白宮的高級顧問納瓦羅說啊越南不是零就了事喔因為你們有什麼傾銷跟出國補貼涉及到非關稅欺騙您了解他說的非關稅欺騙是越南什麼事嗎? |
transcript.whisperx[520].start |
29833.715 |
transcript.whisperx[520].end |
29862.86 |
transcript.whisperx[520].text |
那應該指的就是違規轉運息產地息產地好往下看所以我們零關稅同盟一旦成行唯獨中國產生的結果首先美中之間已經有關稅的壁壘美國的東西賣不到中國去中國的貨品也賣不到美國來但是中國貨品在美國市場的地位被這些去中的自由貿易同盟所取代同時美國雖然貨賣不到中國去也可以賣給這些自由貿易同盟是不是這樣子出口暢旺 |
transcript.whisperx[521].start |
29863.8 |
transcript.whisperx[521].end |
29886.857 |
transcript.whisperx[521].text |
反而這個同盟之間貿易往來是不是更創旺 是不是這樣應該是這樣 我想好 是這樣但是呢 美國不是這樣而已喔他說 欸 你不是跟我互相領關稅而已啊你也要對中國超關稅 超高關稅而且呢 你對於特殊商品呢 要管制晶片你不能跟我美國買了 賣到中國去 是不是這樣子所以還有附帶條件 |
transcript.whisperx[522].start |
29889.457 |
transcript.whisperx[522].end |
29906.866 |
transcript.whisperx[522].text |
所以在這種前提之下,越南縱使零關稅,一樣要嚴防中國製品透過供應鏈。台灣有這個問題,因為在川普2.0的關稅戰當中,中國就提出他的單車可以牽到哪裡?台灣、越南、馬來西亞、柬埔寨跟印度,是不是這樣子? |
transcript.whisperx[523].start |
29907.728 |
transcript.whisperx[523].end |
29923.376 |
transcript.whisperx[523].text |
好 那請問一下台灣有沒有可能成為中國製品席產地透過供應鏈銷到美國去有沒有可能對未來的這種情勢的發展我們已經設想到在未來會嚴密的嚴控有五大方案嘛這五大方案夠不夠 |
transcript.whisperx[524].start |
29925.117 |
transcript.whisperx[524].end |
29952.704 |
transcript.whisperx[524].text |
方案是方案 臨時變動的應該會是很多各種手段會不斷的推陳出新我跟您提醒一下 我這幾年常去越南有台商的電子廠在越南的河內弄一個組裝廠他從中國那邊把原來在中國昆山蘇州的貨供應鏈的貨都用陸運24小時送抵河內關鍵的切面從台灣去出口當然是打著越南的Mark |
transcript.whisperx[525].start |
29953.237 |
transcript.whisperx[525].end |
29979.882 |
transcript.whisperx[525].text |
那這裡面他這些其他在中國的供應鏈這些廠商透過入運這是美國疑慮的地方因為越南跟中國的入運的海關資料不透明但是如果說台灣的晶片賣到了檳城檳城從世界各國拿了零組件透過國際的港部跟航商美國知道你檳城馬來西亞賣給我的有多少成分來自哪裡是不是這樣子 |
transcript.whisperx[526].start |
29980.7 |
transcript.whisperx[526].end |
29988.329 |
transcript.whisperx[526].text |
所以越南是美國最嚴格防止的台灣要繼續的嚴格防止洗產地對不對好往下看 |
transcript.whisperx[527].start |
29989.096 |
transcript.whisperx[527].end |
30013.606 |
transcript.whisperx[527].text |
所以呢我們除此之外我們還要政策採購改善台美的貿易的差額首先在零關稅之後本來黃小玉牛肉我們就擴大進口嘛對不對那如果不受關稅影響的像軍備像火雞台灣人不吃美國的火雞肉關稅零也沒有差所以這個是屬於政策決定你會政策決定叫去買美國的火雞肉嗎會不會如果沒有那個市場 |
transcript.whisperx[528].start |
30014.486 |
transcript.whisperx[528].end |
30043.38 |
transcript.whisperx[528].text |
那會不會增加跟美國買軍備 譬如說買F-35可不可以就要考慮我們的財政跟國防的需要好 有需要 好那最後哪一種剛性需求就是本來就要用天然氣都要用LNG另外呢 我們的波音客機Airbus最近華航才簽了Airbus簽了實價這個可不可以改跟美國買 有人在討論 對不對天然氣本來跟澳洲買可不可以考慮跟美國買 有沒有考慮我們正在盤點這些個未來可以擴大 把美國當作一個世界市場 |
transcript.whisperx[529].start |
30045.401 |
transcript.whisperx[529].end |
30052.272 |
transcript.whisperx[529].text |
儘管這樣子擴大採購我們來看一下但是你們現在880億他的思維呢工業製品700億農業180億是針對出口還是針對進口 |
transcript.whisperx[530].start |
30058.493 |
transcript.whisperx[530].end |
30079.899 |
transcript.whisperx[530].text |
不是針對產業的協助產業出口遇到阻礙高關稅阻礙協助產業升級我瞭解協助產業向外擴展市場主要目的是針對這些出口產業遇到高關稅的阻礙後我們要輔導他嘛但是如果是零關稅的話方向跟對象要反過來了要去思考這些會被美國進口的產品所取代的產業是不是這樣子 |
transcript.whisperx[531].start |
30081.257 |
transcript.whisperx[531].end |
30098.167 |
transcript.whisperx[531].text |
理論上是這樣是這樣那我們來看一下農產品好了農產品目前我們從美國進口這五大項當中黃小玉不用說牛肉不用說有沒有注意到雞肉是一個項目因為雞肉我們本國產的四成美國進口的35%但是如果說關稅從20%調下來你覺得雞肉會不會受到影響 |
transcript.whisperx[532].start |
30102.998 |
transcript.whisperx[532].end |
30117.016 |
transcript.whisperx[532].text |
會不會最可能受到的影響就是雞肉就是怎麼樣美國的零關稅進口來的雞肉取代了本土的雞肉是不是所以除了這個之外還有什麼農產品會受到零關稅的進口影響 |
transcript.whisperx[533].start |
30119.704 |
transcript.whisperx[533].end |
30148.735 |
transcript.whisperx[533].text |
我跟委員報告齁 就是我昨天已經問過你了 我要聽聽院長的齁 院長我們現在的稻米是這樣子齁我們自產一百一十五萬公噸在WTO的配額之下呢十四萬公噸以內是零關稅美國已經賣了六萬多公噸了平均銷價二十九元 零關稅如果現在美國對我們是零關稅這二十九塊就是軍價但是我們自產的稻米呢是五十塊一公斤所以會不會受影響如果是這樣的 |
transcript.whisperx[534].start |
30150.056 |
transcript.whisperx[534].end |
30178.124 |
transcript.whisperx[534].text |
關稅的調整跟結果當然是受影響的所以請你指示旁邊的農業部部長剛才的880億其中的110億對120億呢180億本來是要協助出口受挫的現在要調整思維萬一零關稅要用來輔導這些受進口影響的院長是不是這樣子我們是對業者因為美國關稅調整而受影響的業者不管是 |
transcript.whisperx[535].start |
30179.815 |
transcript.whisperx[535].end |
30186.272 |
transcript.whisperx[535].text |
出口還是進口是不是這樣如果真的受到影響我們就會在...如果受到進口影響也要輔導部長有沒有了解了 |
transcript.whisperx[536].start |
30188.546 |
transcript.whisperx[536].end |
30215.244 |
transcript.whisperx[536].text |
我跟委員報告一百八十億是針對出口的產品那這個您剛才講這個道明的部分是未來有可能從美國進來的部分如果有任何的調整的時候的一個影響但是從農業部的角度來講因為農業的答案我昨天聽過了我現在要院長的答案除了農業產品之外還有哪四種產業是受到進口零關稅美國製品的衝擊農業產品汽車保健食品還有紡織品 |
transcript.whisperx[537].start |
30218.362 |
transcript.whisperx[537].end |
30230.373 |
transcript.whisperx[537].text |
我從經濟部的資料上調出來在我們屏東這四種產業呢我們的保健營養食品從業人員380人我們的成衣製造外銷有200人汽車大概有2800人總共有3360個人未來如果美國銷台灣是零關稅這3360個家庭會受到的影響院長 是不是指示相關部會來協助盤查跟協助加以輔導 |
transcript.whisperx[538].start |
30243.615 |
transcript.whisperx[538].end |
30265.018 |
transcript.whisperx[538].text |
所以這個零關稅的前提是不是存在 這個還是一個考量我們不就是要追求零關稅嗎 院長從零關稅談起 不是我們去追求 零關稅談起我剛才已經說了 美國的目的叫創造一個零關稅的自由貿易同盟這是他的目的所以很可能零關稅是我們可能必要考慮的一種結果 是不是這樣子 |
transcript.whisperx[539].start |
30266.278 |
transcript.whisperx[539].end |
30284.922 |
transcript.whisperx[539].text |
但是我們也知道經濟學者財政學者包括政治工作人員不可能在一夕之間一夕之間就是零關稅不可能一夕之間是零關稅沒有錯所以給你九十天好好想清楚來我們往下看全力爭取改善美國對等關稅我們這裡提到我們談判關稅要幹嘛要擴大對美採購 |
transcript.whisperx[540].start |
30287.603 |
transcript.whisperx[540].end |
30315.965 |
transcript.whisperx[540].text |
要擴大對美投資要排除虧關稅的障礙還要解決稀產業的問題其中在報紙的報導說台灣大部分的外匯準備是購買美國公債的這也可以作為關稅下降的條件怎麼做這個目前我們並沒有朝向這個方式在做思考沒有嗎現在這個階段目前我們持有的美債全世界排名第11名非常的不穩定好往下看來其實美國的立場是這樣子 |
transcript.whisperx[541].start |
30316.892 |
transcript.whisperx[541].end |
30338.489 |
transcript.whisperx[541].text |
他的美國的債務目前單單是今年到期的9.2兆大概是美國聯邦總收入5兆的兩倍在6月底到期也有6兆多這些到期的美債對他產生什麼影響他要怎麼還他當然要還加稅嗎現在還沒有然後政府減少開支政府瘦身 |
transcript.whisperx[542].start |
30339.212 |
transcript.whisperx[542].end |
30357.302 |
transcript.whisperx[542].text |
那是明年度的事情他最大的需求就怎樣降低債息所以就有一個人我們來談一下如果對美談判川普政府要求說台幣對美元升值或者說央行的外匯儲備改持低利的美債你認為哪一個對台灣的經濟影響較衝擊較輕匯率的調整是一個未來可能的問題你認為匯率比較影響小我們對於匯率A跟B哪一個影響比較輕 |
transcript.whisperx[543].start |
30367.97 |
transcript.whisperx[543].end |
30392.21 |
transcript.whisperx[543].text |
我覺得委員我們不要在這裡談,我們任何談判的過程...好,我們往下看,我們往下看待會我要請那個彭主委再來,因為昨天我已經問過總裁了好,美國的白宮經濟顧問委員會的主項米倫他去年11月發表一個用戶指南叫重組全國貿易體系裡面他提到說,關稅本身不是目的而是手段他在7號的時候接受採訪講了五個點第一,他不接受,報復 |
transcript.whisperx[544].start |
30393.464 |
transcript.whisperx[544].end |
30420.699 |
transcript.whisperx[544].text |
第二你要打開市場不能有不公平的行為第三呢他要各國提高國防支出和針對美國軍購大概這個我們都沒問題第四他說要投資美國這我們也做了他說第五直接捐還給美國財政部這什麼意思這什麼意思好大家來猜猜看往下看敏倫的意思是這樣他說他要要求大量持有美債的這些盟友貿易對手他說請你跟我 |
transcript.whisperx[545].start |
30421.881 |
transcript.whisperx[545].end |
30434.031 |
transcript.whisperx[545].text |
換新債的時候跟我買超長期的50年的或100年的低利了但是我們的外匯如果去買這種超長期的美債影響到我們的流動性這種沒有市場 |
transcript.whisperx[546].start |
30435.063 |
transcript.whisperx[546].end |
30463.644 |
transcript.whisperx[546].text |
對不對 那遇到了我們需要去調節匯率的時候就會受到限制米倫說沒關係我給你一個買權給你一個快速換回美元現金的官方渠道叫做report類似swap的一種回購機制如果你真的需要錢跟我掉頭順就好了結果呢 他認為一旦接受這個條件您知道結果是什麼會形成一個以美元為主的去中的準金融聯盟這是米倫的設想好 我往下走 |
transcript.whisperx[547].start |
30464.568 |
transcript.whisperx[547].end |
30490.31 |
transcript.whisperx[547].text |
米倫的方案我算給你看他說台灣的外匯存本比加進5800億如果我們合理的外匯準備是4000到4500億我們可能有1000億的美金可以在美債到期之後改持低利的長期美債假設這些美債按照現在美債的利息4%來算我們假設算2%我們一年大概會讓利讓20億美元的利息大概折合台幣600億到660億 |
transcript.whisperx[548].start |
30492.432 |
transcript.whisperx[548].end |
30493.597 |
transcript.whisperx[548].text |
請問601到661有沒有小於現在的880億 |
transcript.whisperx[549].start |
30497.793 |
transcript.whisperx[549].end |
30522.561 |
transcript.whisperx[549].text |
有沒有小問題數學問題嗎哪個比較大這個我們還在精算我們沒有辦法在這裡跟委員做這樣的答案我了解你要想一下我要說的是說跟美國的談判有各種的可能性了解他們的談判背後的這些幕僚這些政策的思維各種的可能才會出現說連我們的外匯儲備的美債都有可能是一個談判的籌碼剛剛總裁說了籌碼對不對剛剛你跟邱委員講了籌碼跟準備不是一樣嗎好往下走 |
transcript.whisperx[550].start |
30527.665 |
transcript.whisperx[550].end |
30551.361 |
transcript.whisperx[550].text |
所以如果我們拿到了超長期的低利美債,我們拿到什麼?美國現在30年期的美債只要每掉1%它就可以淨賺20%對台外來講,我雖然拿了1000億掛個洞把它買起來但是當我需要的時候,我還是可以短期的美元的流通需求我可以跟美國的央行免費去調度,也避開了短期的利率風險 |
transcript.whisperx[551].start |
30553.649 |
transcript.whisperx[551].end |
30561.654 |
transcript.whisperx[551].text |
院長 您旁邊是總裁另外那邊是主委後面還有一個金融專家是我們彭主委請他們三個回去研究看看好不好 |
transcript.whisperx[552].start |
30563.46 |
transcript.whisperx[552].end |
30587.269 |
transcript.whisperx[552].text |
我們過去對於美債的投資也有發生過不好的一個結果好 請你研究 我最後要做結論了昨天今天美國股市股匯債全部解體川普的任務川普任務有兩個一個是削減赤字 一個是增加就業增加就業 增加投資跟減稅改善他中西部的弱勢選民削減赤字要解決貿易逆差他對中國的不公平貿易他用了高單稅來解決之後 |
transcript.whisperx[553].start |
30588.953 |
transcript.whisperx[553].end |
30612.663 |
transcript.whisperx[553].text |
他現在剩下什麼問題剩下財政支出的問題要減少負債有了一個零關稅的自由貿易同盟之後他的貿易逆差渴望解決但是遇下來的問題我有三個事情要請院長承諾第一請盤點消美主要產品上游供應鏈中有沒有含有中國製品請迅速的提出調整對策可以嗎 |
transcript.whisperx[554].start |
30614.034 |
transcript.whisperx[554].end |
30621.46 |
transcript.whisperx[554].text |
這個也會做好 如果我們對美的關稅降到零請協助我們農漁續產品及製造業因應產業的衝擊可以嗎這個前提好 謝謝鍾委員 謝謝卓院長下一位請徐宇貞委員質詢 |
transcript.whisperx[555].start |
30647.203 |
transcript.whisperx[555].end |
30651.465 |
transcript.whisperx[555].text |
謝謝主席 我們請卓榮泰卓院長請卓院長備詢許文豪 |
transcript.whisperx[556].start |
30661.431 |
transcript.whisperx[556].end |
30683.646 |
transcript.whisperx[556].text |
院長好 院長您辛苦了我們現在面對有史以來最嚴重的一個貿易戰尤其是我們在去年對美的貿易順差達到739億美元排名第六所以川普總統才會提出對等關稅這樣的一個要求當然台灣除了關稅戰之外其實還面臨了四大的挑戰 |
transcript.whisperx[557].start |
30685.562 |
transcript.whisperx[557].end |
30707.942 |
transcript.whisperx[557].text |
關稅戰當然我們的平均關稅大概是1.6%雖然現在暫緩但也大幅提升到10%對於我的中小企業他們的毛利率大概只有3、4%來說也造成極大的壓力第二個就是國防支出因為我們的國防預算被要求提高到有GDP3.55甚至10%的一個說法那第三個是匯率戰 |
transcript.whisperx[558].start |
30708.823 |
transcript.whisperx[558].end |
30726.663 |
transcript.whisperx[558].text |
就是經濟顧問委員會的米倫他有提到說新台幣希望能夠升值到20%可是實際上只要升值到10%的話我國的產業可能就沒有辦法負荷另外還有美債的風險就是我們現在外匯存底大概5700億大概有 |
transcript.whisperx[559].start |
30728.705 |
transcript.whisperx[559].end |
30741.54 |
transcript.whisperx[559].text |
九成當然央行總裁是提到說是八成啦不管是八成還是九成配置美債其實資產的安全都備受關注請問一下卓院長請問面對這四大挑戰賴政府準備好了嗎 |
transcript.whisperx[560].start |
30743.629 |
transcript.whisperx[560].end |
30758.999 |
transcript.whisperx[560].text |
首先對於關稅戰的這個議題我們剛剛在專案報告裡面提到了相關那麼國防的支出我一直強調依照我們財政的能力跟國家國防的需求那總統也提示要GDP3% |
transcript.whisperx[561].start |
30760.24 |
transcript.whisperx[561].end |
30784.501 |
transcript.whisperx[561].text |
這個目標來走所以要一時間說到百分之五我想這個能力上應該還有有所考量至於匯率戰我們請先接的下來有心理有預期將來的匯率可能是一場也是相當相當艱辛的互相的搏鬥而且是整個全世界也是影響很大的但我國一直對匯率不是一個高度政府去操縱的國家我們也有他的匯率自由的市場所以央行的責任在 |
transcript.whisperx[562].start |
30785.768 |
transcript.whisperx[562].end |
30814.534 |
transcript.whisperx[562].text |
長期穩定的觀察整個匯率穩定市場的運作因為現在美國要求我們可能未來的美債要用舊換新甚至能達到零利率最後甚至還可能還要支付一些所謂相關的安全捐那這個部分的話對我們的這個外匯存底應該有很大的影響總裁的答覆我跟委員報告就是說這個只是說是報導我跟委員報告每年我們都會跟美國的財政部 |
transcript.whisperx[563].start |
30815.074 |
transcript.whisperx[563].end |
30841.106 |
transcript.whisperx[563].text |
就美債的議題呢我們會互相交換意見好那可能這個部分就請總裁針對我現在是提出來有這樣子的一個可能挑戰那請總裁針對這個議題我相信要好好好好的來為我國的這個衛生群體把關那另外就是我想請教一下這個院長就是說因為其實我們跟美國談判我們一定要知道川普總統在想什麼要什麼請問院長這邊 |
transcript.whisperx[564].start |
30843.297 |
transcript.whisperx[564].end |
30865.038 |
transcript.whisperx[564].text |
知道川普總統要什麼嗎他透過這一次的對等關稅我認為他是要讓美國再工業化他的目的他的手法透過這樣子希望是達到關稅貿易的平衡跟消除這些不公平就是貿易能夠讓他逆差能夠降低另外就是能夠排除各國之間跟他的非關稅的貿易障礙 |
transcript.whisperx[565].start |
30866.787 |
transcript.whisperx[565].end |
30887.738 |
transcript.whisperx[565].text |
針對這個部分我也有四個觀點來跟院長一起分享首先我認為川普他要的是要解決美國赤字的問題另外他也希望能夠降低美國通膨跟改善經濟的問題還有他的股市還有美國債券現在當然利息支出太高的相關問題當然還有跟中國的貿易相關的問題所以針對這些問題我相信我們在跟美國談判的時候 |
transcript.whisperx[566].start |
30895.282 |
transcript.whisperx[566].end |
30903.402 |
transcript.whisperx[566].text |
應該是有掌握確切的一個方向才能夠談出好的結果請問院長認不認同從去年我們成立的關於 |
transcript.whisperx[567].start |
30904.429 |
transcript.whisperx[567].end |
30926.61 |
transcript.whisperx[567].text |
經貿外交工作小組以及台美經貿專案小組就一直鎖定美方的政策上可能做一些改變就一直鎖定這些但是他到今天還是有一些變動的所以我們是持續變動的在觀察也在掌握我們期待在最好的時機我們的代表團能夠代表國家最大的利益把出我們整套的方案策略跟大家談 |
transcript.whisperx[568].start |
30927.21 |
transcript.whisperx[568].end |
30940 |
transcript.whisperx[568].text |
那個就代表一個國家最終的態度談的結果雙方當然要有一些折衝當然要有一些討論那請問一下院長你認為川普總統他這次所提出的關稅的做法合乎公平貿易的準則嗎 |
transcript.whisperx[569].start |
30941.744 |
transcript.whisperx[569].end |
30961.833 |
transcript.whisperx[569].text |
我說他就是用一個公式一個算法算出一個結果他並沒有考慮個別國家跟他之間的因為好像跟我們傳統認知的公民貿易有很大的一個落差嗎所以您認同他這個是合乎我們現在公民貿易的準則嗎那也有委員指出他的計算的方式是不是還要有一些更精進的部分但是很多的 |
transcript.whisperx[570].start |
30962.233 |
transcript.whisperx[570].end |
30981.659 |
transcript.whisperx[570].text |
經濟學者也是有這樣的看法但是我們賴總統在彭博社的投書當中我們可以看到他有四項具體的回應當然我們面對這樣子美國的不公平的對待的時候其實我們原則上應該是要選擇怎麼去 |
transcript.whisperx[571].start |
30984.189 |
transcript.whisperx[571].end |
31010.684 |
transcript.whisperx[571].text |
協商嘛而不是選擇妥協那當然我們目前賴政府面對川普的要求選擇要不管是台積電已經到美國去投資1650億了那現在川普總統又說台積電有答應他要投資2000億所以賴政府面對川普的要求選擇幾乎現在看起來是完全配合啦那請問院長我們還要移多少產業到美國去呢 |
transcript.whisperx[572].start |
31011.643 |
transcript.whisperx[572].end |
31029.673 |
transcript.whisperx[572].text |
台積公司到美國的投資這是個民間投資案政府並不是在推並不是在主導我們在善盡我們在投審方面的未來的機制嚴格的投審那他民間公司民間產業基於全球佈局他做的這個方向全球佈局的方向我們是政府是樂觀的 |
transcript.whisperx[573].start |
31031.796 |
transcript.whisperx[573].end |
31043.537 |
transcript.whisperx[573].text |
那針對賴總統所提到的希望這個談美先的所有的關稅會有零關稅開始談起喔那所以針對這個部分如果再配合全面零關稅的話會影響政府多少的收入呢 |
transcript.whisperx[574].start |
31044.153 |
transcript.whisperx[574].end |
31067.213 |
transcript.whisperx[574].text |
因為現在台灣輸美的已經有70%就是零關稅美國輸台有62%62%是零關稅所以我們是有這樣的基礎可以繼續的擴大但是不是一夕之間一夕之間如果照賴總統在彭博的投書的話從零關稅談起那如果真的都是零關稅的話會影響政府多少的收入我們現在目前對美國的收入 |
transcript.whisperx[575].start |
31069.874 |
transcript.whisperx[575].end |
31077.215 |
transcript.whisperx[575].text |
將來現在是大概7點多億左右未來對我們會增加到100多億但美國我們就從這樣這樣反算就是 |
transcript.whisperx[576].start |
31077.54 |
transcript.whisperx[576].end |
31089.944 |
transcript.whisperx[576].text |
也就是說如果未來是零關稅的話不管是對我方的負擔其實影響的層面應該不止這樣子而且會有更大的影響所以現在農漁業 農漁民其實還有一些這個傳產其實大壓力都很大農漁業的這個關稅目前農漁業我們是逆差的所以這個在談判的過程當中當然要表達出來因為台灣對於美國的這個 |
transcript.whisperx[577].start |
31106.531 |
transcript.whisperx[577].end |
31129.444 |
transcript.whisperx[577].text |
糧食的進口是多的因為我剛才提到白宮的經濟顧問明倫他在4月7號有發表一個演說幫助美國五途徑那請院長看一下他針對這五個途徑請問我們認同美方提出的五個途徑的做法嗎那我們打算接受哪五項呢 |
transcript.whisperx[578].start |
31132.276 |
transcript.whisperx[578].end |
31147.346 |
transcript.whisperx[578].text |
這不變在這裡講說現在我們談判要接受不接受未來我們由政府院長領軍跟其他部會首長加上我們談判辦公室所以針對這五項的目前的這五項途徑啦我想不管是說出口產品要接受美國關稅同時不開徵報復性關稅 |
transcript.whisperx[579].start |
31149.887 |
transcript.whisperx[579].end |
31171.934 |
transcript.whisperx[579].text |
甚至要提高國防支出跟美國軍購我們先從提高國防支出跟美國軍購這點來看起我們看一下美國希望我方提出軍事的支出其實從不管從GDP的3.5 5% 10%我們都有聽到這樣子的一個說法那我們可以看一下你現在可以看一下這個表格就是說我們就從 |
transcript.whisperx[580].start |
31173.455 |
transcript.whisperx[580].end |
31186.984 |
transcript.whisperx[580].text |
114年度的明目GDP就是26兆8千億來當作推估值那我國的軍費支出呢從現在今年度如果是2.45%來算的話是6474億元那如果照講的話3%的話就來到8040億元3.5%的話是9380億元5%的話就是1兆3400億元那其實 |
transcript.whisperx[581].start |
31199.453 |
transcript.whisperx[581].end |
31210.953 |
transcript.whisperx[581].text |
賴總統說到對這個美國擴大採購包括能源農產品跟其他工業用品那所謂的其他工業用品有沒有包含軍事採購一般在算貿易的 |
transcript.whisperx[582].start |
31212.562 |
transcript.whisperx[582].end |
31235.459 |
transcript.whisperx[582].text |
數字裡面軍事採購是會被沒有嗎對也就是說軍事採購並不會列入這樣的貿易的計算所以如果再加上這些軍事採購的話事實上也沒有辦法降低我們對美國的貿易的順差所以針對這個部分請問院長對於美國的軍事採購啊每年大概要增加多少的支出才能夠符合美方的要求呢 |
transcript.whisperx[583].start |
31236.598 |
transcript.whisperx[583].end |
31258.827 |
transcript.whisperx[583].text |
如果照今年的中央總預算算起來大概一千兩三百億到一千五百億之間才能達到百分之三 請問一下如果啦如果我們現在看到的就是今年我們是因為本來是有國防的支出預算大概是四千六百七十四億喔特種基金八百零六億特別預算九百零四億這樣才有六千四百七十四億元的這樣子的一個這個 |
transcript.whisperx[584].start |
31259.887 |
transcript.whisperx[584].end |
31287.402 |
transcript.whisperx[584].text |
我們的國防支出但如果要提高到GDP5%的話大概需要一兆3400億也就是要增加6926億那以現在如果沒有特別預算來支應的話我們可能會去排擠到的可能就是社會福利支出教育科學支出還有文化支出經濟發展的支出才能夠足以因應那請問院長如果沒有特別預算的話會從哪裡去減少這些預算的支應呢報告委員我們今年並沒有 |
transcript.whisperx[585].start |
31288.701 |
transcript.whisperx[585].end |
31309.806 |
transcript.whisperx[585].text |
對外說或是我們準備要朝向GDP5%的這個數字那如果在談判的過程中川普這樣要求呢我們不能為對方設想他的想法也就是說當有這樣的可能的時候我覺得我們這個左院長所領導的這個部會還是應該要了解清楚是不是有這樣的一個問題那另外就是針對賴總統在這個投書的第五項他說 |
transcript.whisperx[586].start |
31313.627 |
transcript.whisperx[586].end |
31340.973 |
transcript.whisperx[586].text |
台灣將致力排除非關稅貿易障礙那當然我們可以想到就是說賴清德總統說要致力排除非關稅貿易障礙是不是要開放美豬美牛還可以不標示產地呢剛剛委員一直在提到這樣的相關問題我是這樣的答覆我是認為國民的健康安全重要我們的市場的消費習慣也重要但是如果 |
transcript.whisperx[587].start |
31341.823 |
transcript.whisperx[587].end |
31360.186 |
transcript.whisperx[587].text |
台灣是國際社會的一份子有國際的標準跟科學的認證我們必須在當中取得一個平衡但是前兩個原則我們會謹守所以前兩個原則是指說不會開放美豬美牛全面進口也不會開放說不標示產地是這樣嗎現在已經有開放一部分了不標示產地這件事 |
transcript.whisperx[588].start |
31360.769 |
transcript.whisperx[588].end |
31378.883 |
transcript.whisperx[588].text |
這是我們消費的習慣所以院長是不是可以在這邊告訴大家我們不會開放不標示產地也不會開放基改食品進入校園我們剛剛好幾位委員都提到表示大家都非常關心他都願意尊重行政院談判的 |
transcript.whisperx[589].start |
31379.684 |
transcript.whisperx[589].end |
31381.706 |
transcript.whisperx[589].text |
這種策略那我們現在正在準備談判過程當中所以院長的意思是說要犧牲國人的食安健康還有學童的健康嗎沒有這樣的講法我說我們在國人的健康跟市場的消費習慣當中我們會謹守 |
transcript.whisperx[590].start |
31394.781 |
transcript.whisperx[590].end |
31403.39 |
transcript.whisperx[590].text |
但談判的過程當中我們現在距離歷程其實我覺得食安跟健康尤其是學童的健康是絕對不能退讓的也絕對不能讓步的所以請院長針對這個部分一定要謹守我們的原則絕對不能犧牲國人的食安跟犧牲國人的健康 |
transcript.whisperx[591].start |
31412.796 |
transcript.whisperx[591].end |
31429.069 |
transcript.whisperx[591].text |
然後另外就是有關這個農業的剛剛提到嘛就說我們今年的這個去年的農業利差大概是到新台幣990億元那我們可以看一下這個表格大概蝴蝶蘭跟台灣貂這個出口到美國是最多的兩項產品 |
transcript.whisperx[592].start |
31430.43 |
transcript.whisperx[592].end |
31442.935 |
transcript.whisperx[592].text |
那尤其是蝴蝶蘭大概是對美國出口的產值大概佔出口市場的四成達到18.3億也是最大的買主那台灣貂大概有79%外銷的79%是銷往美國那在美國宣布關稅政策暫緩之前已經有業者反映 |
transcript.whisperx[593].start |
31450.138 |
transcript.whisperx[593].end |
31472.174 |
transcript.whisperx[593].text |
蘇美的訂單有出現延遲或取消的一個狀況那現在雖然這個暫緩90天但是因為我們還是被課徵10%的這個稅額請問一下院長就是農產品的毛利率它本來就不高那如果這10%的稅額再課徵下去可能會讓我們的很多的農漁的產業沒有辦法度過這次的危機請問政府有什麼具體的做法來幫助他們 |
transcript.whisperx[594].start |
31474.469 |
transcript.whisperx[594].end |
31490.241 |
transcript.whisperx[594].text |
我跟委員報告就是以現在目前的10%或之前的32%那農業部本身一個最重要在短期之間最重要的就是我們的相關的這些外銷的跟外銷有關的行銷跟獎勵的部分那同樣的 |
transcript.whisperx[595].start |
31491.662 |
transcript.whisperx[595].end |
31513.011 |
transcript.whisperx[595].text |
在10%的前提之下其實我們最主要的競爭對手是中國所以相對的中國的關稅比我們高的時候其實我們更有機會去針對美國的市場做一個重新的佈局那這個部分在前兩天在跟吳國瑜業者本身在討論的時候他們都認同這樣的方式所以後續我們會再討論現在大家比較擔心的是賴總統說的要從零關稅談起這個部分 |
transcript.whisperx[596].start |
31516.112 |
transcript.whisperx[596].end |
31532.106 |
transcript.whisperx[596].text |
所以也希望院長可以在這邊承諾就是政府在談判的過程中絕對不會犧牲農漁漁民的權益可以嗎農漁優先是政府一項的原則那以國家利益為唯一這也是談判過程當中要謹守謝謝院長的這個承諾 |
transcript.whisperx[597].start |
31533.687 |
transcript.whisperx[597].end |
31553.27 |
transcript.whisperx[597].text |
那另外就是我想我們這次是中央跟地方大家一起要攜手面對挑戰因為這次可以真的說是國難當前所以我們也希望所有政治的內耗都能夠停止所以在這邊我們也具體的建議希望賴總統能夠近日早日的召開我們的國事會議 |
transcript.whisperx[598].start |
31554.161 |
transcript.whisperx[598].end |
31566.515 |
transcript.whisperx[598].text |
可以邀請我們朝野政黨的領袖還有一些縣市長、專家、學者跟產業代表大家一起來共同的討論共商國事謝謝謝謝徐委員謝謝卓院長下一位請何新淳委員質詢 |
transcript.whisperx[599].start |
31585.119 |
transcript.whisperx[599].end |
31586.246 |
transcript.whisperx[599].text |
謝謝主席 我們請卓院長請卓院長備詢 |
transcript.whisperx[600].start |
31600.605 |
transcript.whisperx[600].end |
31618.332 |
transcript.whisperx[600].text |
我剛剛聽好多好多在野黨的委員他們的質詢都讓人家會覺得好像有故意在帶風向的嫌疑為什麼因為他們的問題常常是一個設下一個前提說好像我們現在面臨美國的高關稅 |
transcript.whisperx[601].start |
31619.532 |
transcript.whisperx[601].end |
31641.979 |
transcript.whisperx[601].text |
我們要去對美談判我們就必須要犧牲台灣人民的什麼什麼來換取作為這個談判的籌碼那還要訪問院長會不會犧牲台灣人民的什麼什麼這個好像都是在故意挖坑給院長給我們台灣人民跳而且好像也是故意在帶風向院長我請你再更大聲的講一次 |
transcript.whisperx[602].start |
31646.66 |
transcript.whisperx[602].end |
31675.631 |
transcript.whisperx[602].text |
當美國川普在祭出高關稅是為了他自己美國的人民國家利益那我們當然也要大聲的說出我們接下來的一個談判也是基於要對台灣整體的國家人民的利益為最大的原則跟立場去對美談判對不對是我們在昨天院會宣布這個880億的支持方案的最後有一段我提到我們這個整個的目的 |
transcript.whisperx[603].start |
31676.127 |
transcript.whisperx[603].end |
31690.521 |
transcript.whisperx[603].text |
就是在爭取國家的利益在維持產業的國際競爭力當然人民的基本權利就涵蓋在裡面我們絕不會忽視這樣的人民的基本權利所以如果是一個坑也不會有人跳下去 |
transcript.whisperx[604].start |
31691.536 |
transcript.whisperx[604].end |
31705.743 |
transcript.whisperx[604].text |
所以我是希望如果在野黨現在都對外宣示面對這樣子的一個問題我們應該要不分朝野共同共體時間要共同的來 |
transcript.whisperx[605].start |
31707.236 |
transcript.whisperx[605].end |
31721.092 |
transcript.whisperx[605].text |
解決面對這個問題那就真的在這個質詢或者是在日後在我們院會各項的一個會議都應該要用行動來表示支持啦對不對 院長我當然誠摯的希望最快的時間內 |
transcript.whisperx[606].start |
31723.835 |
transcript.whisperx[606].end |
31743.584 |
transcript.whisperx[606].text |
相關的條例特別條例或是特別預算能夠通過我們就能夠大幅的邁開讓產業安心讓人民安心也讓我們在國際的談判當中他有一個底氣很足啊是那所以剛剛有其他委員也有關心到我們要有底氣那我們有沒有對於談判心理有底我想 |
transcript.whisperx[607].start |
31745.385 |
transcript.whisperx[607].end |
31761.823 |
transcript.whisperx[607].text |
賴總統說我們的對策第一項就是對美的談判從零關稅談起那剛剛卓議員長有回答其他委員說這是一個談判的策略那既然有策略那就有不同的因應方式跟我們要做好後續的影響評估 |
transcript.whisperx[608].start |
31764.365 |
transcript.whisperx[608].end |
31781.5 |
transcript.whisperx[608].text |
談判的內容是機密不方便公開說但是我只想問卓院長我們對於對美的即將來的談判有沒有心理有底有沒有評估各項談判結果之後的影響跟因應措施 |
transcript.whisperx[609].start |
31782.445 |
transcript.whisperx[609].end |
31805.568 |
transcript.whisperx[609].text |
總統所揭示的幾項原則都是我們談判的一個態度那未來會領軍談判的就是鄭麗君副院長她在過去幾個月當中對整個包括大採購的清單包括這個關稅的從低推估到高推估到現在的最高級的最推估各種的對產業的影響衝擊都做了相當多的了解所以我們心裡是有底的 |
transcript.whisperx[610].start |
31806.248 |
transcript.whisperx[610].end |
31834.206 |
transcript.whisperx[610].text |
帶領所有的部會跟我們的談判辦公室楊振尼政委 我們總談判代表我想再組織一個最專業的團隊那因為局勢一直在改變沒錯到今天早上還在宣布美國新的行政命令所以我們現在沒有辦法在內部就訂好一個像國人要說的狀況況且很多的談判策略也不應該這樣來表示但是爭取最好的時機我們去談這個團隊跟我們的策略跟我們的整套的方式我們都準備的差不多很齊全了 |
transcript.whisperx[611].start |
31834.554 |
transcript.whisperx[611].end |
31849.471 |
transcript.whisperx[611].text |
準備了齊全心裡有底而且絕對有信心我認為我們對你有信心對鄭麗君副院長所領軍的談判團隊一定有信心那接下來要有信心之前就必須要了解狀況 |
transcript.whisperx[612].start |
31851.928 |
transcript.whisperx[612].end |
31878.475 |
transcript.whisperx[612].text |
發現問題所以我也非常感謝院長很辛苦我們執政團隊總動員賴總統今天上午到台中卓院長昨天到桃園那我在前幾天也不斷的走訪我台中的很多的產業工協會在聆聽第一線的一個聲音跟意見院長那你昨天去桃園今天來台中你的現在的感想聽到的意見是如何我明天到彰化 |
transcript.whisperx[613].start |
31879.235 |
transcript.whisperx[613].end |
31890.119 |
transcript.whisperx[613].text |
後天到高雄跟屏東那針對不同的產業像昨天是工業區那明天就是彰化的彰化的這些這個手藝五金等等 |
transcript.whisperx[614].start |
31890.969 |
transcript.whisperx[614].end |
31918.682 |
transcript.whisperx[614].text |
到高雄還有其他的到屏東是農業我們想針對不同的產業總統是到台中的工具機這樣串聯起來我們還會繼續像昨天到工業區他們表示的是他們看到政府的支持政策至少心中有一點點安心說政府有要關心這個政府很關心他們也提出說如果在這個條件當中如果做一些微調會讓大家覺得更做到所以我們回來已經在做調整 |
transcript.whisperx[615].start |
31919.198 |
transcript.whisperx[615].end |
31947.278 |
transcript.whisperx[615].text |
所以听取第一线的声音很重要请听之旅真的很重要尤其刚刚院长所提出的各个区域的参加座谈来聆听之旅的这些业者大大小小规模不一院长也知道台湾八成以上都是中小微型企业如何在传统的产业当中这些中小微型企业能够深深感受到政府是支持他们的 |
transcript.whisperx[616].start |
31947.678 |
transcript.whisperx[616].end |
31977.127 |
transcript.whisperx[616].text |
政府是願意帶一個他們一起來面對問題解決問題我覺得這個立場跟態度的表示非常的重要所以我才會跟院長說請聽之旅一定要繼續而且我希望能夠呢到月底層的中小微型企業更需要政府的支持跟請聽他們的聲音院長再拜託你繼續好不好而且我們在制定支持方案之前就是二月三月我們也跟不同的產業已經有做過這樣的調整這樣的了解了 |
transcript.whisperx[617].start |
31977.467 |
transcript.whisperx[617].end |
31991.852 |
transcript.whisperx[617].text |
只是那個時候的政策更未明所以大家沒有辦法提出很確切需要政府協助的我們做一個整個概括性的了解之後我們再提出支持方案那現在就支持方案的內容就個別產業我們再來做細部的微調所以我才會 |
transcript.whisperx[618].start |
31993.173 |
transcript.whisperx[618].end |
32008.686 |
transcript.whisperx[618].text |
請院長第一個要繼續第二個我們要針對這些產業中小微型企業他所提出來的問題我們如何要及時有效又快速那這樣子就必須要什麼我們的及時語就是剛剛問院長的 |
transcript.whisperx[619].start |
32011.287 |
transcript.whisperx[619].end |
32028.932 |
transcript.whisperx[619].text |
880億的特別預算我們心裡有底嗎什麼時候要提出剛剛院長回答的是說用最快的速度希望立法院朝野都支持能夠來通過那我們期待行政院用最快的速度來提出不知道院長我們何時要提出 |
transcript.whisperx[620].start |
32029.252 |
transcript.whisperx[620].end |
32058.337 |
transcript.whisperx[620].text |
原來的計畫是下禮拜四希望特別條例能夠出行政院的院會下禮拜四能夠出行政院的院會現在整個局勢還在改變如果沒有大的障礙我們下禮拜四就出行政院院會那如果現在還有一些狀況或許我們多留一個禮拜但是盡快是至少兩個禮拜我們一定要把他送出行政院院會所以院長是分兩個階段第一個就是兩個禮拜之內我們送出特別預算案來到立法院立法院還要用最快的速度來審查三讀 |
transcript.whisperx[621].start |
32058.857 |
transcript.whisperx[621].end |
32074.621 |
transcript.whisperx[621].text |
通過那在我們特別預算送到立法院三讀通過之前那另外一個就是以現有部會的資源來以緩急急的一個這個現在的及時餘那院長那我們現在打算怎麼做 |
transcript.whisperx[622].start |
32075.405 |
transcript.whisperx[622].end |
32098.716 |
transcript.whisperx[622].text |
現在如果在特別預算還沒有完全通過之前已經有產業受到目前整個狀況的影響那我們各部會有一些已緩契及的預算或者是我如果可以動用到第二預備金大筆的時候需要這樣做另外我們在救安基金農損基金農發基金跟信保基金四大基金都可以用已緩契及方式來先做以後我們再用公務預算來填補 |
transcript.whisperx[623].start |
32099.827 |
transcript.whisperx[623].end |
32115.803 |
transcript.whisperx[623].text |
補回這個相關的基金因為剛剛如容院長所講的如果我算一算的話就算又用最快的速度仍然會比當時候COVID-19的紓困的特別條例還慢那時候是六天就通過我們還是準備下禮拜就出來如果沒有特別的狀況的話 |
transcript.whisperx[624].start |
32116.744 |
transcript.whisperx[624].end |
32138.681 |
transcript.whisperx[624].text |
所以我也希望院長能夠用最快的速度嘛如果下個禮拜能夠提出那立法院這邊草野都能夠如他們所說的大家共同來支持的話用最快速的這個方式來通過那我會希望再算一算大概一個月內能不能通過這個要讓我們很多的產業中小企業心裡有底啊為什麼 |
transcript.whisperx[625].start |
32139.121 |
transcript.whisperx[625].end |
32158.665 |
transcript.whisperx[625].text |
特別預算要通過了才能夠執行特別預算還沒通過之前現在各部會現有的資源到底能不能撐住他們我覺得這個第一個要讓我們的民間企業要能夠心裡有底而且讓所有這些產業的勞工心裡有底因為他們是一天如果撐不下去也不行所以 |
transcript.whisperx[626].start |
32162.666 |
transcript.whisperx[626].end |
32186.838 |
transcript.whisperx[626].text |
如果以現行可以做的各部會盤點先有資源以緩計集那另外還有個什麼我相信剛剛很多委員都有共同關心不然要雨天收傘就是我們現在很多的這個產業那現在很多的產業呢他們的第一個新生反應都是資金的融資周轉所以呢我們 |
transcript.whisperx[627].start |
32188.018 |
transcript.whisperx[627].end |
32215.356 |
transcript.whisperx[627].text |
如何讓銀行不要雨天收傘這件事情很重要那怎麼做得到也很重要因為我也必須要分享一下過去COVID-19的時候不管是在疫情期間或者是後疫情期間很多的企業在紓困的時候面對銀行的雨天收傘的狀況樣態不一但是還是有耳聞所以銀行界 |
transcript.whisperx[628].start |
32216.016 |
transcript.whisperx[628].end |
32230.906 |
transcript.whisperx[628].text |
我們主委去喝咖啡那除了喝咖啡之外呢我們如何能夠呢讓銀行真的來挺撐住我們的產業這很重要耶主委跟您報告一下我們確實我們已經開始啟動這個計畫我們也能夠確保面對這個困境我們讓銀行不會去收銀的 |
transcript.whisperx[629].start |
32238.271 |
transcript.whisperx[629].end |
32258.239 |
transcript.whisperx[629].text |
我剛剛有聽到你回答其他委員說已經啟動計畫了那可能下個禮拜就要開始跟銀行來喝咖啡但是呢我比較期待的是更堅定的要求銀行端是不是在這個相關的這個湊銀根也好啦申請門檻也好啦門檻條件的認定也好啦還有各項的這個 |
transcript.whisperx[630].start |
32262.681 |
transcript.whisperx[630].end |
32285.257 |
transcript.whisperx[630].text |
銀行端可以協助的部分我們金管會我們行政院這邊應該要堅定強力的要求可以嗎這個沒有問題我想我們有一整套的配套措施都會來執行包括我們也會去從銀行端給他一些支持還有就透過很多比如說像我們今年度我們把對中小企業的放款目標就加大400億 |
transcript.whisperx[631].start |
32286.178 |
transcript.whisperx[631].end |
32314.521 |
transcript.whisperx[631].text |
就希望增加這個支持還有很多我們對銀行增加支持不要抽銀跟增加他周轉新的彈性就是延展他的這些的貸款期限展延跟彈性啦靈活彈性機展延啦這個我覺得主委你應該都知道包括院長在第一線上去跟產業座談的時候應該也都有產業界的代表都會提出這一項需求尤其來自台中我們的工具機工會也好手工具工會也好 |
transcript.whisperx[632].start |
32315.342 |
transcript.whisperx[632].end |
32339.451 |
transcript.whisperx[632].text |
更多的這些產業界其實都是在特別條例來幫忙我之前我現在能夠做的希望政府為我做的是不是先從銀行端的這個不要抽銀根開始啊我想金融業都非常體諒到這次我們整個面對到的困難我想這部分我們會真的會來嚴實來啟動這樣的一個作為來支持產業 |
transcript.whisperx[633].start |
32342.642 |
transcript.whisperx[633].end |
32366.361 |
transcript.whisperx[633].text |
第一個就是不要抽銀根讓這個周轉資金彈性然後可以展延第二個我要請院長幫忙的是我們現在在對於特別預算的880億的這個整個的支持方案裡面我看到是以個別產業個別公司我建議應該要從產業鏈的思維來看我很怕像我的選區 |
transcript.whisperx[634].start |
32368.082 |
transcript.whisperx[634].end |
32392.737 |
transcript.whisperx[634].text |
台中的屯區很多都是相關產業的加工體系加工廠那有很多是所謂正在申請特定工廠中的這些加工廠那到時候在我們的支持方案裡面我們是不是以整個供應鏈的一個方式來思考作為補助的一個依據跟方法重減 重寬 加快院長可以嗎 |
transcript.whisperx[635].start |
32393.752 |
transcript.whisperx[635].end |
32412.254 |
transcript.whisperx[635].text |
重減重寬加快這一定是的那至於什麼單位因為像我們昨天就是跟工業區的各個廠商協會的理事長比較多但他們也代表各自的業界的新生 個別產業的新生但是我們會把它整合起來我們希望用一個比較宏觀的方向不是用單一的個案來做處理 |
transcript.whisperx[636].start |
32413.014 |
transcript.whisperx[636].end |
32417.779 |
transcript.whisperx[636].text |
因為比較宏觀的方向原則就是我們的支持方案的所有各項的補助原則裡面應該要思考到大大小小不一的供應鏈裡面的各種加工廠商對單一公司有一個補助如果你是兩家公司有擴大補助 |
transcript.whisperx[637].start |
32433.275 |
transcript.whisperx[637].end |
32449.008 |
transcript.whisperx[637].text |
以大代小有4家公司有更大的補助我們會用這個方式來做我是覺得一定要落實啦好不好這個是我認為這是很重要的要撐住產業很重要那要撐住產業就是要撐住勞工那我知道我們洪聖漢部長也有提出 |
transcript.whisperx[638].start |
32450.268 |
transcript.whisperx[638].end |
32466.773 |
transcript.whisperx[638].text |
針對因應這個關稅的衝擊又規劃150億要支持勞工那也在院長的這個880億的特別預算的支持方案裡面也看到要支持勞工但是呢我希望在特別條例裡面應該明確的明定就是保障勞工權益這個應該是 |
transcript.whisperx[639].start |
32470.154 |
transcript.whisperx[639].end |
32479.69 |
transcript.whisperx[639].text |
OK的對不對目前應該在這個政院在規劃特別條例的過程裡面我們也希望能夠把保障勞工權益的部分其實可以放入 |
transcript.whisperx[640].start |
32480.182 |
transcript.whisperx[640].end |
32501.345 |
transcript.whisperx[640].text |
我希望院長要支持在這個衝擊的階段 勞動部有提出希望業者不裁員不減薪那這些支持方案就必須在881的特別方案裡面那在特別條例裡面要明訂那最後90天的黃金光劍期我希望我們要做好萬全的準備精準談判 壯大台灣 化危機為轉機 |
transcript.whisperx[641].start |
32507.315 |
transcript.whisperx[641].end |
32513.297 |
transcript.whisperx[641].text |
好 謝謝何委員 謝謝卓院長下一位請謝依鳳委員質詢謝謝副院長 我想要請卓院長請卓院長備詢 |
transcript.whisperx[642].start |
32538.274 |
transcript.whisperx[642].end |
32562.684 |
transcript.whisperx[642].text |
主席我相信這一次的美國對等關稅的這樣子的即便現在已經延長90天那對於我想不只是只有台灣對於所有我們的競爭對手或者是我們其他周邊的國家而言都是非常重大的一個議題你認同嗎 |
transcript.whisperx[643].start |
32564.165 |
transcript.whisperx[643].end |
32582.009 |
transcript.whisperx[643].text |
是的未來我們即將要去對美方來談判了你有沒有信心你有沒有信心為台灣爭取最大的這樣子一個目標你的目標是什麼我們從去年成立 |
transcript.whisperx[644].start |
32583.801 |
transcript.whisperx[644].end |
32606.12 |
transcript.whisperx[644].text |
經濟外交工作小組所鎖定的是未來整個世界經貿情勢秩序的大變動因為在去年11月又成立了台美經貿專案小組就是準備在當美國政策又發生大的改變的時候我們能夠在最短的時間內能夠調適回來所以這個準備是長期的其中包括對美的採購對美的投資以及現在因應這個關稅的變化這個都是在 |
transcript.whisperx[645].start |
32610.058 |
transcript.whisperx[645].end |
32635.574 |
transcript.whisperx[645].text |
預期當中可能發生的那我們一定要等到一個情勢具體出來一些我們會做適度的研判分析以及整個設算像這次關稅就這樣子為什麼我們4月3號沒有辦法第一時間因為第一4月3號我們算的那個試算是在10%到20%20%到30%結果它跑到32%那就不是算數等級的那必須往上加 堆加我們整個產業受損受困的這個狀況 |
transcript.whisperx[646].start |
32636.454 |
transcript.whisperx[646].end |
32663.712 |
transcript.whisperx[646].text |
所以我們延了一天就是把整個支持方案升級之後才向國能做報告表示我們是有準備但隨著情勢是機動性在調整對我問的是你的目標是什麼未來那都已經過去的但是你未來我們談判的整體的目標是什麼以及怎麼樣子減少對台灣產業的衝擊是不是終極的目標就是爭取國家最大的利益維持產業的國際競爭力 |
transcript.whisperx[647].start |
32665.963 |
transcript.whisperx[647].end |
32693.347 |
transcript.whisperx[647].text |
對於國家最大的利益不是關稅嗎我們希望關稅能夠比韓國比日本還要低啊這是我們主要競爭的國家嘛 是不是是關稅的比較不是直接面對面而是跟我們鄰近競爭對手的比較那這是大家會心裡產業有相關的競爭性的嘛 是不是那這次大家心裡壓力大是因為包括韓國 包括日本都比我們低啊所以大家的心裡壓力就會大我們期待 |
transcript.whisperx[648].start |
32693.905 |
transcript.whisperx[648].end |
32709.681 |
transcript.whisperx[648].text |
透過合理的談判之後我們能夠爭取到公平的關稅待遇我當然知道要透過談判那我是說你有沒有設定我們有沒有機會比日本比韓國低我們在努力就是這個方向 |
transcript.whisperx[649].start |
32710.39 |
transcript.whisperx[649].end |
32729.293 |
transcript.whisperx[649].text |
有沒有 你要有信心啊每個國家都死書渾身解數你都沒信心了當然對我們的談判代表有信心談判的過程我們都可以掌握對談判代表有信心是不是那你明天就要去彰化了我要問你的是 |
transcript.whisperx[650].start |
32730.634 |
transcript.whisperx[650].end |
32758.365 |
transcript.whisperx[650].text |
對於行政院所提出的880億那我們去跟產業談那當然希望能夠直接的協助產業嘛那對於明天要協助的產業像優惠的貸款部分我想要請問就是對於傳產以及中小微創產業我們的優惠利率要不要解碼我們有解碼啊 檢集碼 |
transcript.whisperx[651].start |
32759.677 |
transcript.whisperx[651].end |
32766.331 |
transcript.whisperx[651].text |
來我來看看因為這個數字我來看看優惠的利率我們在金融支持方面優惠的利率 |
transcript.whisperx[652].start |
32770.575 |
transcript.whisperx[652].end |
32793.18 |
transcript.whisperx[652].text |
那我看一下在這裡我們這個中小微企業的貸款的加碼是有的我們變略的預算是50億貸款的額度最高可以到三百五十三千五百萬我是說出口的部分一百四十億兩千的兩千億的貸款額度那我說你的利息優惠減碼減碼是多少2.22這個是 |
transcript.whisperx[653].start |
32798.058 |
transcript.whisperx[653].end |
32805.98 |
transcript.whisperx[653].text |
標準在計算我們貸款在250萬內的會減補貼1.51.5碼嗎是不是財政部長我們好多部分都有金融支持是不是降低1.5碼跟委員報告我們對於出口廠商他的貿易融資我們是以2000億這樣的一個融資規模讓 |
transcript.whisperx[654].start |
32821.204 |
transcript.whisperx[654].end |
32823.305 |
transcript.whisperx[654].text |
那單一廠商可以申請優惠貸款的最高額度是多少 |
transcript.whisperx[655].start |
32847.618 |
transcript.whisperx[655].end |
32868.202 |
transcript.whisperx[655].text |
他一年最高可以減少利息到600萬好 剛才院長所提到的中小微創是50億嘛對於中小微創的貸款的申請是50億那對於他們的轉型升級的貸款會不會利息也減嘛 |
transcript.whisperx[656].start |
32869.107 |
transcript.whisperx[656].end |
32876.073 |
transcript.whisperx[656].text |
中小微有啊會不會中小微剛剛我們減1.5% 貸款在250萬以內的會減嘛 也會減嘛是不是貸款的部分會減啦但是我們個案補助都到500萬如果是產業聯盟可以到4000萬 |
transcript.whisperx[657].start |
32890.483 |
transcript.whisperx[657].end |
32913.129 |
transcript.whisperx[657].text |
這個是對研發轉型的補助就是剛才我想委員在說明的這個部分還有過去對於傳產或者中小微等等的在紓困的期間的貸款那他們在申請貸款的時候都由信保基金來做擔保那最高的成數是八成 |
transcript.whisperx[658].start |
32914.468 |
transcript.whisperx[658].end |
32941.991 |
transcript.whisperx[658].text |
未來會不會提高在這一次的情況下我們有沒有預期要提高信保基金擔保成數到我們到95%了有嗎有會到95%是不是會再更高是不是對對好那希望我們能夠用最大的誠意來協助企業可以嗎 |
transcript.whisperx[659].start |
32943.252 |
transcript.whisperx[659].end |
32965.794 |
transcript.whisperx[659].text |
還有一項,就是過去在紓困貸款的時候,對於銀行的受信人員,除了有重大的行政疏失以外,我們要不要解除他們的行政責任? |
transcript.whisperx[660].start |
32968.501 |
transcript.whisperx[660].end |
32992.241 |
transcript.whisperx[660].text |
委員提的這個部分也就是行員很介意就是他的財務的責任的部分我想這個部分其實那個時候就已經讓他可以不要受這個部分的財務責任會不會比照我想這一次我們都是從速從寬從優來說那對於這個行員他們並沒有任何違背任何法令但是因為廠商的衝擊他產業的一些影響的話當然在財務責任上我們應該給予豁免 |
transcript.whisperx[661].start |
32993.502 |
transcript.whisperx[661].end |
33017.458 |
transcript.whisperx[661].text |
還有行政責任跟財務責任這是過去我們在紓困的時候我們對於產業紓困的時候這第20條我們都有免除這些行員在受信的時候這些除了重大的疏失以外要免除他們的財務以及行政責任是不是剛剛部長答覆的是這樣因為他不是自己 |
transcript.whisperx[662].start |
33022.577 |
transcript.whisperx[662].end |
33036.753 |
transcript.whisperx[662].text |
任何個人故意的行為是不是因為你在紓困的期間為了重塑、重寬、重減嘛那是不是要免除這些受信人員的這樣子的行政跟財務責任會不會列進去 |
transcript.whisperx[663].start |
33038.421 |
transcript.whisperx[663].end |
33059.272 |
transcript.whisperx[663].text |
這個部分我想我們會一起跟今晚會一起來把它放到讓行業們了解這一塊好還有過去我們也是在疫情期間對於非常多的企業他們放無薪假對於企業放無薪假的勞工我們也要不要比照辦理給予薪資補貼 |
transcript.whisperx[664].start |
33061.403 |
transcript.whisperx[664].end |
33069.99 |
transcript.whisperx[664].text |
這個部分誰可以回答有安定基金嘛誰可以回答我們在勞工安定就業的這個措施裡面就有薪資的補貼 |
transcript.whisperx[665].start |
33071.244 |
transcript.whisperx[665].end |
33098.304 |
transcript.whisperx[665].text |
會不會也要比照過去COVID的時候這樣子的我們確實有規劃就是針對如果放應該是委員的意思應該是減班休息啦在減班的休息的時候我們有規劃包括薪資補貼或者是一些訓練上面的補貼來去彌補勞工可能如果在遇到減班休息上面的時候他薪資上面的就是收入上面的衝擊跟影響目前是有規劃的 |
transcript.whisperx[666].start |
33099.045 |
transcript.whisperx[666].end |
33121.47 |
transcript.whisperx[666].text |
好 最後我想要請教的就是我們央行的楊總裁因為畢竟這是關稅的手段未來在我們現在所了解的就是川普總統的首席經濟顧問米倫他的這個海福莊園協議裡面 |
transcript.whisperx[667].start |
33124.891 |
transcript.whisperx[667].end |
33149.321 |
transcript.whisperx[667].text |
關稅手段只是第一步接下來他希望的是美元可以貶值那如果美元貶值對於依賴出口的台灣產業你認為會造成多大的影響以及他的這個他的美元貶值這個貨幣的手段有沒有可能成功 |
transcript.whisperx[668].start |
33150.532 |
transcript.whisperx[668].end |
33161.891 |
transcript.whisperx[668].text |
我跟委員報告就是說事實上匯率是由市場決定的不是說美國說它美元要貶值就貶值 |
transcript.whisperx[669].start |
33162.523 |
transcript.whisperx[669].end |
33184.654 |
transcript.whisperx[669].text |
我知道那他是市場決定的啊他是市場決定所以呢美元呢就長期來看的話呢他有升值的時候他也有貶值的時候所以呢也就是說市場決定的一個價位他你很難是說用人為的一個方式讓他就說要不讓他貶值就貶值因為是市場來決定長期來講的話他是由市場來決定 |
transcript.whisperx[670].start |
33188.286 |
transcript.whisperx[670].end |
33202.388 |
transcript.whisperx[670].text |
那如果美元貶值因為現在目前很多的廠商都也希望台幣可以貶啊是不是對於我們的出口才有利因為廠商我跟委員報告就是說我們的外匯市場 |
transcript.whisperx[671].start |
33204.33 |
transcript.whisperx[671].end |
33229.33 |
transcript.whisperx[671].text |
我們的外匯市場它的參與者不是只有我們的廠商還有包括很多的外資外資也是還有包括我們旅遊的人這些都是參與者所以也不是說只有廠商所以也就是說外匯市場所決定的是一個供需來決定的它是一個市場價格 |
transcript.whisperx[672].start |
33230.889 |
transcript.whisperx[672].end |
33253.451 |
transcript.whisperx[672].text |
不是說是由誰來決定這個他的匯率所以你認為米倫他所說的重塑這個全球的貿易體系當然他是以美元為出發點以美債這樣子的一個出發點嘛那這個情況下那我們未來國內的廠商要怎麼因應 |
transcript.whisperx[673].start |
33254.882 |
transcript.whisperx[673].end |
33279.542 |
transcript.whisperx[673].text |
那當然就是說 廠商第一個就是說他要有避險的這個第一個那第二個呢 專業銀行要盡我們的力量因為市場如果說是他波動得太大的時候呢專業銀行會去做某些的調節讓他的那個波動度不要太大 |
transcript.whisperx[674].start |
33280.362 |
transcript.whisperx[674].end |
33285.735 |
transcript.whisperx[674].text |
那就是這樣子第一個要避嫌第二個中央銀行能夠讓這個匯率能夠動態穩定就是這樣子好那你有沒有信心 |
transcript.whisperx[675].start |
33290.878 |
transcript.whisperx[675].end |
33310.678 |
transcript.whisperx[675].text |
你有沒有信心維持我們的匯率穩定當然有信心因為這個是全球的我們就說了美元的參與者不只有台灣而已是不是這是全球的長期以來我們新台幣都非常穩定的動態穩定所以這個對進出口廠商都是很好的 |
transcript.whisperx[676].start |
33311.297 |
transcript.whisperx[676].end |
33337.359 |
transcript.whisperx[676].text |
所以你有信心可以維持台幣的穩定是沒有問題那所以明天我們院長去彰化的時候可以告訴所有的廠商台幣會穩定不用擔心我們匯率的問題那會不會把相關的避險的相關的這樣子的方式也會一併的告訴廠商讓小廠商也了解 |
transcript.whisperx[677].start |
33338.299 |
transcript.whisperx[677].end |
33361.076 |
transcript.whisperx[677].text |
基本上就是說銀行都是有這些的避險工具所以這些中小企業他都可以利用的就是會不會院長會不會把順便能夠告訴我們中小企業能夠對於未來整體這個美元經濟的這個風險性以及美國現在在重塑 |
transcript.whisperx[678].start |
33365.499 |
transcript.whisperx[678].end |
33382.939 |
transcript.whisperx[678].text |
所謂的全球的貿易系統那這個部分是不是能夠也一併的告訴中小企業讓廠商有因應的能力以及對於下一波的這有可能的風險我們也能夠事先的控管 |
transcript.whisperx[679].start |
33383.729 |
transcript.whisperx[679].end |
33399.484 |
transcript.whisperx[679].text |
報告委員 我大概可以跟業界說的是我們的匯率 台幣匯率長期以來是呈現穩定的趨勢那國家的經濟的體質本質上是健全的所以在這個方面讓它繼續呈現穩定的趨勢因為我們應該可以看得到 |
transcript.whisperx[680].start |
33400.245 |
transcript.whisperx[680].end |
33416.257 |
transcript.whisperx[680].text |
我只能說這樣子,我並沒有一句話就說台幣要不要,這個我也不是,連總裁都沒辦法說我當然要請總裁說,這個你可能也沒辦法講總裁也沒辦法講總裁可能要拿出最大的努力來是,謝謝韋爺的鼓勵好,謝謝大家,謝謝好,謝謝韋爺的支持,謝謝好,謝謝謝韋爺,謝謝卓議長 |
transcript.whisperx[681].start |
33428.462 |
transcript.whisperx[681].end |
33447.054 |
transcript.whisperx[681].text |
保安委員會本日排定質詢的委員均與質詢完畢謝謝左院長及相關部會首長列席答詢做以下之決定一 將各委員發言紀錄及書面質詢函送行政院請就位答覆部分予以書面答覆二 |
transcript.whisperx[682].start |
33447.714 |
transcript.whisperx[682].end |
33464.504 |
transcript.whisperx[682].text |
已提出之書面質詢尚未登載公報者一律補刊4月15日星期二上午9時繼續開會進行施政方針及施政報告及質詢現在休息 |