iVOD / 17181

Field Value
IVOD_ID 17181
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17181
日期 2026-01-07
會議資料.會議代碼 委員會-11-4-19-19
會議資料.會議代碼:str 第11屆第4會期經濟委員會第19次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 19
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第4會期經濟委員會第19次全體委員會議
影片種類 Full
開始時間 2026-01-07T08:38:05+08:00
結束時間 2026-01-07T11:43:00+08:00
影片長度 03:04:55
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db21ca6625277982f45eff2011ce5661ee081761262ea6c52fa439c5921a36d7b75ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-01-07T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第19次全體委員會議(事由:一、審查本院委員陳亭妃等16人擬具「農業科技園區設置管理條例增訂第十五條之一條文草案」案。 二、審查本院委員李柏毅等16人擬具「植物品種及種苗法第五十三條之一條文修正草案」案。 三、審查: (一) 本院委員陳亭妃等16人擬具「農產品市場交易法第六條及第三十五條條文修正草案」案。 (二) 本院委員邱議瑩等20人擬具「農產品市場交易法第十五條條文修正草案」案。 (三) 本院委員陳瑩等16人擬具「農產品市場交易法第十條條文修正草案」案。 以上全案於1月7日(星期三)、1月8日(星期四)詢答及處理。 【1月7日及8日二天一次會】)
委員名稱 完整會議
委員發言時間 08:38:05 - 11:43:00
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 1345.45784375
transcript.pyannote[0].end 1347.83721875
transcript.pyannote[1].speaker SPEAKER_10
transcript.pyannote[1].start 1348.69784375
transcript.pyannote[1].end 1348.91721875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 1348.91721875
transcript.pyannote[2].end 1348.96784375
transcript.pyannote[3].speaker SPEAKER_10
transcript.pyannote[3].start 1348.96784375
transcript.pyannote[3].end 1349.79471875
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 1349.79471875
transcript.pyannote[4].end 1349.99721875
transcript.pyannote[5].speaker SPEAKER_10
transcript.pyannote[5].start 1349.99721875
transcript.pyannote[5].end 1350.03096875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 1350.03096875
transcript.pyannote[6].end 1350.04784375
transcript.pyannote[7].speaker SPEAKER_10
transcript.pyannote[7].start 1350.04784375
transcript.pyannote[7].end 1351.02659375
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 1351.02659375
transcript.pyannote[8].end 1351.04346875
transcript.pyannote[9].speaker SPEAKER_10
transcript.pyannote[9].start 1351.04346875
transcript.pyannote[9].end 1351.06034375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 1351.06034375
transcript.pyannote[10].end 1351.85346875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 1351.87034375
transcript.pyannote[11].end 1356.59534375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1357.43909375
transcript.pyannote[12].end 1414.34159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1415.18534375
transcript.pyannote[13].end 1456.93409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1457.82846875
transcript.pyannote[14].end 1465.70909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1466.19846875
transcript.pyannote[15].end 1522.81409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1523.67471875
transcript.pyannote[16].end 1537.09034375
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 1539.45284375
transcript.pyannote[17].end 1542.60846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 1544.34659375
transcript.pyannote[18].end 1545.89909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 1545.96659375
transcript.pyannote[19].end 1546.03409375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 1546.05096875
transcript.pyannote[20].end 1567.26284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 1567.65096875
transcript.pyannote[21].end 1579.63221875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 1582.72034375
transcript.pyannote[22].end 1584.00284375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 1584.37409375
transcript.pyannote[23].end 1588.50846875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 1589.38596875
transcript.pyannote[24].end 1591.98471875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 1592.32221875
transcript.pyannote[25].end 1593.14909375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 1593.38534375
transcript.pyannote[26].end 1594.65096875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 1595.59596875
transcript.pyannote[27].end 1599.62909375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 1600.00034375
transcript.pyannote[28].end 1603.37534375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1603.74659375
transcript.pyannote[29].end 1604.48909375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1605.07971875
transcript.pyannote[30].end 1608.33659375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1608.70784375
transcript.pyannote[31].end 1609.53471875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 1610.42909375
transcript.pyannote[32].end 1617.73596875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 1619.11971875
transcript.pyannote[33].end 1620.26721875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 1620.53721875
transcript.pyannote[34].end 1623.05159375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 1623.16971875
transcript.pyannote[35].end 1624.13159375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 1624.68846875
transcript.pyannote[36].end 1625.38034375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 1625.75159375
transcript.pyannote[37].end 1629.90284375
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 1630.30784375
transcript.pyannote[38].end 1634.42534375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 1637.39534375
transcript.pyannote[39].end 1658.01659375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 1658.60721875
transcript.pyannote[40].end 1659.34971875
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 1659.88971875
transcript.pyannote[41].end 1661.93159375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 1663.56846875
transcript.pyannote[42].end 1669.50846875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 1676.34284375
transcript.pyannote[43].end 1677.18659375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 1678.55346875
transcript.pyannote[44].end 1678.73909375
transcript.pyannote[45].speaker SPEAKER_25
transcript.pyannote[45].start 1680.08909375
transcript.pyannote[45].end 1680.64596875
transcript.pyannote[46].speaker SPEAKER_25
transcript.pyannote[46].start 1680.94971875
transcript.pyannote[46].end 1682.78909375
transcript.pyannote[47].speaker SPEAKER_25
transcript.pyannote[47].start 1683.24471875
transcript.pyannote[47].end 1684.49346875
transcript.pyannote[48].speaker SPEAKER_25
transcript.pyannote[48].start 1685.05034375
transcript.pyannote[48].end 1687.61534375
transcript.pyannote[49].speaker SPEAKER_25
transcript.pyannote[49].start 1687.76721875
transcript.pyannote[49].end 1692.08721875
transcript.pyannote[50].speaker SPEAKER_25
transcript.pyannote[50].start 1692.47534375
transcript.pyannote[50].end 1694.02784375
transcript.pyannote[51].speaker SPEAKER_25
transcript.pyannote[51].start 1694.39909375
transcript.pyannote[51].end 1697.87534375
transcript.pyannote[52].speaker SPEAKER_25
transcript.pyannote[52].start 1698.58409375
transcript.pyannote[52].end 1699.84971875
transcript.pyannote[53].speaker SPEAKER_25
transcript.pyannote[53].start 1700.42346875
transcript.pyannote[53].end 1704.15284375
transcript.pyannote[54].speaker SPEAKER_25
transcript.pyannote[54].start 1704.25409375
transcript.pyannote[54].end 1711.08846875
transcript.pyannote[55].speaker SPEAKER_25
transcript.pyannote[55].start 1713.45096875
transcript.pyannote[55].end 1731.00096875
transcript.pyannote[56].speaker SPEAKER_25
transcript.pyannote[56].start 1731.03471875
transcript.pyannote[56].end 1731.38909375
transcript.pyannote[57].speaker SPEAKER_25
transcript.pyannote[57].start 1731.59159375
transcript.pyannote[57].end 1735.11846875
transcript.pyannote[58].speaker SPEAKER_25
transcript.pyannote[58].start 1735.77659375
transcript.pyannote[58].end 1802.90534375
transcript.pyannote[59].speaker SPEAKER_25
transcript.pyannote[59].start 1804.55909375
transcript.pyannote[59].end 1828.90971875
transcript.pyannote[60].speaker SPEAKER_25
transcript.pyannote[60].start 1829.23034375
transcript.pyannote[60].end 1865.62971875
transcript.pyannote[61].speaker SPEAKER_25
transcript.pyannote[61].start 1866.03471875
transcript.pyannote[61].end 1871.75534375
transcript.pyannote[62].speaker SPEAKER_25
transcript.pyannote[62].start 1871.78909375
transcript.pyannote[62].end 1875.72096875
transcript.pyannote[63].speaker SPEAKER_25
transcript.pyannote[63].start 1876.22721875
transcript.pyannote[63].end 1881.00284375
transcript.pyannote[64].speaker SPEAKER_25
transcript.pyannote[64].start 1881.07034375
transcript.pyannote[64].end 1882.09971875
transcript.pyannote[65].speaker SPEAKER_25
transcript.pyannote[65].start 1882.62284375
transcript.pyannote[65].end 1885.42409375
transcript.pyannote[66].speaker SPEAKER_25
transcript.pyannote[66].start 1885.76159375
transcript.pyannote[66].end 1892.24159375
transcript.pyannote[67].speaker SPEAKER_25
transcript.pyannote[67].start 1893.40596875
transcript.pyannote[67].end 1909.23471875
transcript.pyannote[68].speaker SPEAKER_25
transcript.pyannote[68].start 1909.69034375
transcript.pyannote[68].end 1923.93284375
transcript.pyannote[69].speaker SPEAKER_25
transcript.pyannote[69].start 1924.21971875
transcript.pyannote[69].end 1976.31284375
transcript.pyannote[70].speaker SPEAKER_25
transcript.pyannote[70].start 1976.56596875
transcript.pyannote[70].end 1979.70471875
transcript.pyannote[71].speaker SPEAKER_25
transcript.pyannote[71].start 1980.91971875
transcript.pyannote[71].end 1983.56909375
transcript.pyannote[72].speaker SPEAKER_25
transcript.pyannote[72].start 1983.94034375
transcript.pyannote[72].end 1992.51284375
transcript.pyannote[73].speaker SPEAKER_25
transcript.pyannote[73].start 1992.85034375
transcript.pyannote[73].end 2019.58034375
transcript.pyannote[74].speaker SPEAKER_25
transcript.pyannote[74].start 2019.71534375
transcript.pyannote[74].end 2021.18346875
transcript.pyannote[75].speaker SPEAKER_25
transcript.pyannote[75].start 2022.01034375
transcript.pyannote[75].end 2030.31284375
transcript.pyannote[76].speaker SPEAKER_25
transcript.pyannote[76].start 2030.93721875
transcript.pyannote[76].end 2035.64534375
transcript.pyannote[77].speaker SPEAKER_25
transcript.pyannote[77].start 2036.03346875
transcript.pyannote[77].end 2061.68346875
transcript.pyannote[78].speaker SPEAKER_25
transcript.pyannote[78].start 2061.85221875
transcript.pyannote[78].end 2063.20221875
transcript.pyannote[79].speaker SPEAKER_25
transcript.pyannote[79].start 2063.57346875
transcript.pyannote[79].end 2069.47971875
transcript.pyannote[80].speaker SPEAKER_25
transcript.pyannote[80].start 2069.93534375
transcript.pyannote[80].end 2074.05284375
transcript.pyannote[81].speaker SPEAKER_25
transcript.pyannote[81].start 2074.20471875
transcript.pyannote[81].end 2077.52909375
transcript.pyannote[82].speaker SPEAKER_25
transcript.pyannote[82].start 2077.74846875
transcript.pyannote[82].end 2078.11971875
transcript.pyannote[83].speaker SPEAKER_25
transcript.pyannote[83].start 2078.45721875
transcript.pyannote[83].end 2083.43534375
transcript.pyannote[84].speaker SPEAKER_25
transcript.pyannote[84].start 2083.73909375
transcript.pyannote[84].end 2096.90159375
transcript.pyannote[85].speaker SPEAKER_25
transcript.pyannote[85].start 2097.72846875
transcript.pyannote[85].end 2115.59909375
transcript.pyannote[86].speaker SPEAKER_25
transcript.pyannote[86].start 2115.83534375
transcript.pyannote[86].end 2119.17659375
transcript.pyannote[87].speaker SPEAKER_25
transcript.pyannote[87].start 2119.49721875
transcript.pyannote[87].end 2152.09971875
transcript.pyannote[88].speaker SPEAKER_25
transcript.pyannote[88].start 2152.35284375
transcript.pyannote[88].end 2157.43221875
transcript.pyannote[89].speaker SPEAKER_25
transcript.pyannote[89].start 2158.47846875
transcript.pyannote[89].end 2167.05096875
transcript.pyannote[90].speaker SPEAKER_25
transcript.pyannote[90].start 2167.40534375
transcript.pyannote[90].end 2182.40721875
transcript.pyannote[91].speaker SPEAKER_25
transcript.pyannote[91].start 2182.89659375
transcript.pyannote[91].end 2202.03284375
transcript.pyannote[92].speaker SPEAKER_25
transcript.pyannote[92].start 2202.52221875
transcript.pyannote[92].end 2248.57409375
transcript.pyannote[93].speaker SPEAKER_25
transcript.pyannote[93].start 2250.21096875
transcript.pyannote[93].end 2251.74659375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 2256.64034375
transcript.pyannote[94].end 2258.02409375
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 2259.47534375
transcript.pyannote[95].end 2282.76284375
transcript.pyannote[96].speaker SPEAKER_17
transcript.pyannote[96].start 2279.91096875
transcript.pyannote[96].end 2280.63659375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 2282.83034375
transcript.pyannote[97].end 2285.26034375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 2284.77096875
transcript.pyannote[98].end 2284.87221875
transcript.pyannote[99].speaker SPEAKER_17
transcript.pyannote[99].start 2284.87221875
transcript.pyannote[99].end 2284.93971875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 2284.93971875
transcript.pyannote[100].end 2285.20971875
transcript.pyannote[101].speaker SPEAKER_11
transcript.pyannote[101].start 2294.79471875
transcript.pyannote[101].end 2296.75221875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 2297.84909375
transcript.pyannote[102].end 2298.77721875
transcript.pyannote[103].speaker SPEAKER_25
transcript.pyannote[103].start 2304.29534375
transcript.pyannote[103].end 2304.75096875
transcript.pyannote[104].speaker SPEAKER_11
transcript.pyannote[104].start 2304.39659375
transcript.pyannote[104].end 2305.40909375
transcript.pyannote[105].speaker SPEAKER_11
transcript.pyannote[105].start 2305.69596875
transcript.pyannote[105].end 2318.35221875
transcript.pyannote[106].speaker SPEAKER_18
transcript.pyannote[106].start 2312.86784375
transcript.pyannote[106].end 2313.25596875
transcript.pyannote[107].speaker SPEAKER_11
transcript.pyannote[107].start 2318.77409375
transcript.pyannote[107].end 2326.90784375
transcript.pyannote[108].speaker SPEAKER_11
transcript.pyannote[108].start 2327.16096875
transcript.pyannote[108].end 2327.31284375
transcript.pyannote[109].speaker SPEAKER_11
transcript.pyannote[109].start 2327.43096875
transcript.pyannote[109].end 2338.77096875
transcript.pyannote[110].speaker SPEAKER_11
transcript.pyannote[110].start 2339.20971875
transcript.pyannote[110].end 2340.66096875
transcript.pyannote[111].speaker SPEAKER_11
transcript.pyannote[111].start 2341.03221875
transcript.pyannote[111].end 2352.76034375
transcript.pyannote[112].speaker SPEAKER_11
transcript.pyannote[112].start 2353.19909375
transcript.pyannote[112].end 2360.20221875
transcript.pyannote[113].speaker SPEAKER_11
transcript.pyannote[113].start 2360.80971875
transcript.pyannote[113].end 2365.23096875
transcript.pyannote[114].speaker SPEAKER_11
transcript.pyannote[114].start 2365.95659375
transcript.pyannote[114].end 2369.28096875
transcript.pyannote[115].speaker SPEAKER_11
transcript.pyannote[115].start 2369.50034375
transcript.pyannote[115].end 2373.95534375
transcript.pyannote[116].speaker SPEAKER_11
transcript.pyannote[116].start 2374.19159375
transcript.pyannote[116].end 2375.65971875
transcript.pyannote[117].speaker SPEAKER_11
transcript.pyannote[117].start 2375.96346875
transcript.pyannote[117].end 2376.55409375
transcript.pyannote[118].speaker SPEAKER_11
transcript.pyannote[118].start 2377.00971875
transcript.pyannote[118].end 2378.46096875
transcript.pyannote[119].speaker SPEAKER_11
transcript.pyannote[119].start 2378.49471875
transcript.pyannote[119].end 2386.64534375
transcript.pyannote[120].speaker SPEAKER_11
transcript.pyannote[120].start 2387.06721875
transcript.pyannote[120].end 2389.24409375
transcript.pyannote[121].speaker SPEAKER_11
transcript.pyannote[121].start 2389.78409375
transcript.pyannote[121].end 2394.23909375
transcript.pyannote[122].speaker SPEAKER_11
transcript.pyannote[122].start 2394.96471875
transcript.pyannote[122].end 2397.02346875
transcript.pyannote[123].speaker SPEAKER_11
transcript.pyannote[123].start 2397.31034375
transcript.pyannote[123].end 2415.24846875
transcript.pyannote[124].speaker SPEAKER_11
transcript.pyannote[124].start 2415.29909375
transcript.pyannote[124].end 2434.70534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 2424.76596875
transcript.pyannote[125].end 2425.03596875
transcript.pyannote[126].speaker SPEAKER_11
transcript.pyannote[126].start 2435.32971875
transcript.pyannote[126].end 2440.37534375
transcript.pyannote[127].speaker SPEAKER_11
transcript.pyannote[127].start 2440.74659375
transcript.pyannote[127].end 2451.04034375
transcript.pyannote[128].speaker SPEAKER_25
transcript.pyannote[128].start 2451.76596875
transcript.pyannote[128].end 2481.78659375
transcript.pyannote[129].speaker SPEAKER_17
transcript.pyannote[129].start 2474.07471875
transcript.pyannote[129].end 2474.46284375
transcript.pyannote[130].speaker SPEAKER_25
transcript.pyannote[130].start 2481.98909375
transcript.pyannote[130].end 2499.92721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 2495.42159375
transcript.pyannote[131].end 2495.87721875
transcript.pyannote[132].speaker SPEAKER_25
transcript.pyannote[132].start 2500.07909375
transcript.pyannote[132].end 2511.38534375
transcript.pyannote[133].speaker SPEAKER_11
transcript.pyannote[133].start 2511.46971875
transcript.pyannote[133].end 2515.55346875
transcript.pyannote[134].speaker SPEAKER_11
transcript.pyannote[134].start 2516.04284375
transcript.pyannote[134].end 2517.07221875
transcript.pyannote[135].speaker SPEAKER_11
transcript.pyannote[135].start 2517.24096875
transcript.pyannote[135].end 2521.29096875
transcript.pyannote[136].speaker SPEAKER_11
transcript.pyannote[136].start 2521.98284375
transcript.pyannote[136].end 2523.92346875
transcript.pyannote[137].speaker SPEAKER_11
transcript.pyannote[137].start 2524.54784375
transcript.pyannote[137].end 2525.61096875
transcript.pyannote[138].speaker SPEAKER_11
transcript.pyannote[138].start 2526.30284375
transcript.pyannote[138].end 2528.14221875
transcript.pyannote[139].speaker SPEAKER_11
transcript.pyannote[139].start 2528.36159375
transcript.pyannote[139].end 2529.05346875
transcript.pyannote[140].speaker SPEAKER_11
transcript.pyannote[140].start 2529.42471875
transcript.pyannote[140].end 2541.18659375
transcript.pyannote[141].speaker SPEAKER_11
transcript.pyannote[141].start 2541.55784375
transcript.pyannote[141].end 2561.11596875
transcript.pyannote[142].speaker SPEAKER_11
transcript.pyannote[142].start 2561.50409375
transcript.pyannote[142].end 2565.65534375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 2565.97596875
transcript.pyannote[143].end 2567.15721875
transcript.pyannote[144].speaker SPEAKER_11
transcript.pyannote[144].start 2567.69721875
transcript.pyannote[144].end 2569.31721875
transcript.pyannote[145].speaker SPEAKER_11
transcript.pyannote[145].start 2569.55346875
transcript.pyannote[145].end 2573.62034375
transcript.pyannote[146].speaker SPEAKER_11
transcript.pyannote[146].start 2573.97471875
transcript.pyannote[146].end 2576.18534375
transcript.pyannote[147].speaker SPEAKER_11
transcript.pyannote[147].start 2576.53971875
transcript.pyannote[147].end 2581.88909375
transcript.pyannote[148].speaker SPEAKER_11
transcript.pyannote[148].start 2582.27721875
transcript.pyannote[148].end 2585.02784375
transcript.pyannote[149].speaker SPEAKER_11
transcript.pyannote[149].start 2585.80409375
transcript.pyannote[149].end 2589.75284375
transcript.pyannote[150].speaker SPEAKER_11
transcript.pyannote[150].start 2589.82034375
transcript.pyannote[150].end 2590.84971875
transcript.pyannote[151].speaker SPEAKER_11
transcript.pyannote[151].start 2591.42346875
transcript.pyannote[151].end 2592.82409375
transcript.pyannote[152].speaker SPEAKER_11
transcript.pyannote[152].start 2593.29659375
transcript.pyannote[152].end 2595.01784375
transcript.pyannote[153].speaker SPEAKER_11
transcript.pyannote[153].start 2595.23721875
transcript.pyannote[153].end 2597.98784375
transcript.pyannote[154].speaker SPEAKER_11
transcript.pyannote[154].start 2598.56159375
transcript.pyannote[154].end 2599.00034375
transcript.pyannote[155].speaker SPEAKER_11
transcript.pyannote[155].start 2599.15221875
transcript.pyannote[155].end 2602.12221875
transcript.pyannote[156].speaker SPEAKER_11
transcript.pyannote[156].start 2603.13471875
transcript.pyannote[156].end 2612.46659375
transcript.pyannote[157].speaker SPEAKER_11
transcript.pyannote[157].start 2612.66909375
transcript.pyannote[157].end 2616.01034375
transcript.pyannote[158].speaker SPEAKER_11
transcript.pyannote[158].start 2616.44909375
transcript.pyannote[158].end 2619.13221875
transcript.pyannote[159].speaker SPEAKER_11
transcript.pyannote[159].start 2619.41909375
transcript.pyannote[159].end 2621.98409375
transcript.pyannote[160].speaker SPEAKER_11
transcript.pyannote[160].start 2622.00096875
transcript.pyannote[160].end 2627.94096875
transcript.pyannote[161].speaker SPEAKER_11
transcript.pyannote[161].start 2628.04221875
transcript.pyannote[161].end 2630.43846875
transcript.pyannote[162].speaker SPEAKER_11
transcript.pyannote[162].start 2630.99534375
transcript.pyannote[162].end 2633.45909375
transcript.pyannote[163].speaker SPEAKER_25
transcript.pyannote[163].start 2633.94846875
transcript.pyannote[163].end 2640.31034375
transcript.pyannote[164].speaker SPEAKER_11
transcript.pyannote[164].start 2634.18471875
transcript.pyannote[164].end 2634.80909375
transcript.pyannote[165].speaker SPEAKER_25
transcript.pyannote[165].start 2640.54659375
transcript.pyannote[165].end 2663.95221875
transcript.pyannote[166].speaker SPEAKER_25
transcript.pyannote[166].start 2664.22221875
transcript.pyannote[166].end 2678.11034375
transcript.pyannote[167].speaker SPEAKER_17
transcript.pyannote[167].start 2672.55846875
transcript.pyannote[167].end 2672.62596875
transcript.pyannote[168].speaker SPEAKER_17
transcript.pyannote[168].start 2672.64284375
transcript.pyannote[168].end 2672.71034375
transcript.pyannote[169].speaker SPEAKER_18
transcript.pyannote[169].start 2677.99221875
transcript.pyannote[169].end 2678.07659375
transcript.pyannote[170].speaker SPEAKER_18
transcript.pyannote[170].start 2678.11034375
transcript.pyannote[170].end 2678.16096875
transcript.pyannote[171].speaker SPEAKER_25
transcript.pyannote[171].start 2678.16096875
transcript.pyannote[171].end 2678.76846875
transcript.pyannote[172].speaker SPEAKER_18
transcript.pyannote[172].start 2678.22846875
transcript.pyannote[172].end 2678.32971875
transcript.pyannote[173].speaker SPEAKER_25
transcript.pyannote[173].start 2679.24096875
transcript.pyannote[173].end 2684.32034375
transcript.pyannote[174].speaker SPEAKER_25
transcript.pyannote[174].start 2684.33721875
transcript.pyannote[174].end 2688.84284375
transcript.pyannote[175].speaker SPEAKER_25
transcript.pyannote[175].start 2689.01159375
transcript.pyannote[175].end 2711.28659375
transcript.pyannote[176].speaker SPEAKER_11
transcript.pyannote[176].start 2710.67909375
transcript.pyannote[176].end 2711.20221875
transcript.pyannote[177].speaker SPEAKER_11
transcript.pyannote[177].start 2711.28659375
transcript.pyannote[177].end 2738.40471875
transcript.pyannote[178].speaker SPEAKER_25
transcript.pyannote[178].start 2711.30346875
transcript.pyannote[178].end 2711.37096875
transcript.pyannote[179].speaker SPEAKER_08
transcript.pyannote[179].start 2718.77909375
transcript.pyannote[179].end 2718.81284375
transcript.pyannote[180].speaker SPEAKER_25
transcript.pyannote[180].start 2718.81284375
transcript.pyannote[180].end 2718.96471875
transcript.pyannote[181].speaker SPEAKER_08
transcript.pyannote[181].start 2718.96471875
transcript.pyannote[181].end 2719.20096875
transcript.pyannote[182].speaker SPEAKER_08
transcript.pyannote[182].start 2724.75284375
transcript.pyannote[182].end 2725.22534375
transcript.pyannote[183].speaker SPEAKER_11
transcript.pyannote[183].start 2739.43409375
transcript.pyannote[183].end 2751.01034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 2743.90596875
transcript.pyannote[184].end 2744.34471875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 2746.16721875
transcript.pyannote[185].end 2746.30221875
transcript.pyannote[186].speaker SPEAKER_25
transcript.pyannote[186].start 2746.30221875
transcript.pyannote[186].end 2746.52159375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 2746.52159375
transcript.pyannote[187].end 2746.63971875
transcript.pyannote[188].speaker SPEAKER_25
transcript.pyannote[188].start 2747.02784375
transcript.pyannote[188].end 2747.41596875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 2747.41596875
transcript.pyannote[189].end 2747.43284375
transcript.pyannote[190].speaker SPEAKER_11
transcript.pyannote[190].start 2751.28034375
transcript.pyannote[190].end 2755.48221875
transcript.pyannote[191].speaker SPEAKER_25
transcript.pyannote[191].start 2754.43596875
transcript.pyannote[191].end 2756.08971875
transcript.pyannote[192].speaker SPEAKER_11
transcript.pyannote[192].start 2755.63409375
transcript.pyannote[192].end 2760.56159375
transcript.pyannote[193].speaker SPEAKER_25
transcript.pyannote[193].start 2756.81534375
transcript.pyannote[193].end 2757.23721875
transcript.pyannote[194].speaker SPEAKER_11
transcript.pyannote[194].start 2760.89909375
transcript.pyannote[194].end 2761.57409375
transcript.pyannote[195].speaker SPEAKER_24
transcript.pyannote[195].start 2761.57409375
transcript.pyannote[195].end 2761.60784375
transcript.pyannote[196].speaker SPEAKER_25
transcript.pyannote[196].start 2761.60784375
transcript.pyannote[196].end 2761.81034375
transcript.pyannote[197].speaker SPEAKER_11
transcript.pyannote[197].start 2761.81034375
transcript.pyannote[197].end 2762.35034375
transcript.pyannote[198].speaker SPEAKER_25
transcript.pyannote[198].start 2761.87784375
transcript.pyannote[198].end 2762.02971875
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 2763.53159375
transcript.pyannote[199].end 2769.26909375
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 2769.28596875
transcript.pyannote[200].end 2772.74534375
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 2774.33159375
transcript.pyannote[201].end 2776.66034375
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 2777.55471875
transcript.pyannote[202].end 2779.32659375
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 2788.18596875
transcript.pyannote[203].end 2790.85221875
transcript.pyannote[204].speaker SPEAKER_11
transcript.pyannote[204].start 2790.93659375
transcript.pyannote[204].end 2791.81409375
transcript.pyannote[205].speaker SPEAKER_25
transcript.pyannote[205].start 2799.44159375
transcript.pyannote[205].end 2799.91409375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 2799.98159375
transcript.pyannote[206].end 2807.30534375
transcript.pyannote[207].speaker SPEAKER_18
transcript.pyannote[207].start 2806.76534375
transcript.pyannote[207].end 2807.10284375
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 2807.35596875
transcript.pyannote[208].end 2820.02909375
transcript.pyannote[209].speaker SPEAKER_18
transcript.pyannote[209].start 2813.39721875
transcript.pyannote[209].end 2813.63346875
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 2820.36659375
transcript.pyannote[210].end 2830.55909375
transcript.pyannote[211].speaker SPEAKER_18
transcript.pyannote[211].start 2830.52534375
transcript.pyannote[211].end 2830.89659375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 2831.16659375
transcript.pyannote[212].end 2832.43221875
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 2832.93846875
transcript.pyannote[213].end 2838.55784375
transcript.pyannote[214].speaker SPEAKER_18
transcript.pyannote[214].start 2834.11971875
transcript.pyannote[214].end 2835.03096875
transcript.pyannote[215].speaker SPEAKER_18
transcript.pyannote[215].start 2836.58346875
transcript.pyannote[215].end 2837.02221875
transcript.pyannote[216].speaker SPEAKER_18
transcript.pyannote[216].start 2838.55784375
transcript.pyannote[216].end 2838.96284375
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 2838.86159375
transcript.pyannote[217].end 2839.90784375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 2840.90346875
transcript.pyannote[218].end 2849.76284375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 2850.23534375
transcript.pyannote[219].end 2860.20846875
transcript.pyannote[220].speaker SPEAKER_18
transcript.pyannote[220].start 2852.26034375
transcript.pyannote[220].end 2852.63159375
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 2860.93409375
transcript.pyannote[221].end 2878.06221875
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 2879.34471875
transcript.pyannote[222].end 2891.35971875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 2891.52846875
transcript.pyannote[223].end 2894.02596875
transcript.pyannote[224].speaker SPEAKER_05
transcript.pyannote[224].start 2894.46471875
transcript.pyannote[224].end 2898.26159375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 2898.37971875
transcript.pyannote[225].end 2900.38784375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 2900.67471875
transcript.pyannote[226].end 2905.09596875
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 2905.18034375
transcript.pyannote[227].end 2916.97596875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 2917.33034375
transcript.pyannote[228].end 2930.98221875
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 2931.80909375
transcript.pyannote[229].end 2932.87221875
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 2933.20971875
transcript.pyannote[230].end 2945.39346875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 2945.89971875
transcript.pyannote[231].end 2955.67034375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 2956.14284375
transcript.pyannote[232].end 2977.74284375
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 2978.11409375
transcript.pyannote[233].end 2982.75471875
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 2983.14284375
transcript.pyannote[234].end 2986.21409375
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 2986.55159375
transcript.pyannote[235].end 3003.03846875
transcript.pyannote[236].speaker SPEAKER_25
transcript.pyannote[236].start 3003.62909375
transcript.pyannote[236].end 3041.78346875
transcript.pyannote[237].speaker SPEAKER_24
transcript.pyannote[237].start 3022.59659375
transcript.pyannote[237].end 3023.54159375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 3040.50096875
transcript.pyannote[238].end 3042.10409375
transcript.pyannote[239].speaker SPEAKER_05
transcript.pyannote[239].start 3042.15471875
transcript.pyannote[239].end 3052.53284375
transcript.pyannote[240].speaker SPEAKER_25
transcript.pyannote[240].start 3042.94784375
transcript.pyannote[240].end 3043.99409375
transcript.pyannote[241].speaker SPEAKER_25
transcript.pyannote[241].start 3044.65221875
transcript.pyannote[241].end 3045.12471875
transcript.pyannote[242].speaker SPEAKER_25
transcript.pyannote[242].start 3046.05284375
transcript.pyannote[242].end 3046.54221875
transcript.pyannote[243].speaker SPEAKER_25
transcript.pyannote[243].start 3049.00596875
transcript.pyannote[243].end 3049.02284375
transcript.pyannote[244].speaker SPEAKER_22
transcript.pyannote[244].start 3049.02284375
transcript.pyannote[244].end 3049.52909375
transcript.pyannote[245].speaker SPEAKER_25
transcript.pyannote[245].start 3049.52909375
transcript.pyannote[245].end 3049.59659375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 3052.65096875
transcript.pyannote[246].end 3053.96721875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 3054.38909375
transcript.pyannote[247].end 3058.37159375
transcript.pyannote[248].speaker SPEAKER_22
transcript.pyannote[248].start 3058.25346875
transcript.pyannote[248].end 3058.72596875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 3058.87784375
transcript.pyannote[249].end 3060.04221875
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 3060.31221875
transcript.pyannote[250].end 3070.21784375
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 3070.67346875
transcript.pyannote[251].end 3088.44284375
transcript.pyannote[252].speaker SPEAKER_18
transcript.pyannote[252].start 3076.56284375
transcript.pyannote[252].end 3076.88346875
transcript.pyannote[253].speaker SPEAKER_18
transcript.pyannote[253].start 3084.52784375
transcript.pyannote[253].end 3084.89909375
transcript.pyannote[254].speaker SPEAKER_18
transcript.pyannote[254].start 3088.40909375
transcript.pyannote[254].end 3088.42596875
transcript.pyannote[255].speaker SPEAKER_18
transcript.pyannote[255].start 3088.44284375
transcript.pyannote[255].end 3088.66221875
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 3088.66221875
transcript.pyannote[256].end 3089.77596875
transcript.pyannote[257].speaker SPEAKER_18
transcript.pyannote[257].start 3088.67909375
transcript.pyannote[257].end 3088.74659375
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 3090.34971875
transcript.pyannote[258].end 3092.25659375
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 3092.76284375
transcript.pyannote[259].end 3104.00159375
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 3104.55846875
transcript.pyannote[260].end 3106.11096875
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 3107.08971875
transcript.pyannote[261].end 3110.93721875
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 3111.07221875
transcript.pyannote[262].end 3120.08346875
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 3120.42096875
transcript.pyannote[263].end 3133.39784375
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 3134.02221875
transcript.pyannote[264].end 3138.89909375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 3139.20284375
transcript.pyannote[265].end 3144.51846875
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 3145.15971875
transcript.pyannote[266].end 3151.11659375
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 3151.57221875
transcript.pyannote[267].end 3154.20471875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 3154.45784375
transcript.pyannote[268].end 3157.98471875
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 3158.57534375
transcript.pyannote[269].end 3159.82409375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 3159.87471875
transcript.pyannote[270].end 3161.76471875
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 3161.89971875
transcript.pyannote[271].end 3166.54034375
transcript.pyannote[272].speaker SPEAKER_25
transcript.pyannote[272].start 3167.99159375
transcript.pyannote[272].end 3180.19221875
transcript.pyannote[273].speaker SPEAKER_24
transcript.pyannote[273].start 3178.52159375
transcript.pyannote[273].end 3178.92659375
transcript.pyannote[274].speaker SPEAKER_25
transcript.pyannote[274].start 3180.49596875
transcript.pyannote[274].end 3188.19096875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 3188.19096875
transcript.pyannote[275].end 3193.13534375
transcript.pyannote[276].speaker SPEAKER_25
transcript.pyannote[276].start 3189.50721875
transcript.pyannote[276].end 3190.63784375
transcript.pyannote[277].speaker SPEAKER_25
transcript.pyannote[277].start 3191.61659375
transcript.pyannote[277].end 3192.47721875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 3193.47284375
transcript.pyannote[278].end 3195.07596875
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 3195.56534375
transcript.pyannote[279].end 3199.02471875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 3199.78409375
transcript.pyannote[280].end 3203.04096875
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 3203.27721875
transcript.pyannote[281].end 3217.87409375
transcript.pyannote[282].speaker SPEAKER_17
transcript.pyannote[282].start 3214.75221875
transcript.pyannote[282].end 3215.19096875
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 3218.17784375
transcript.pyannote[283].end 3224.01659375
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 3224.13471875
transcript.pyannote[284].end 3231.32346875
transcript.pyannote[285].speaker SPEAKER_18
transcript.pyannote[285].start 3228.35346875
transcript.pyannote[285].end 3229.85534375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 3231.52596875
transcript.pyannote[286].end 3232.03221875
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 3232.67346875
transcript.pyannote[287].end 3233.70284375
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 3234.46221875
transcript.pyannote[288].end 3237.80346875
transcript.pyannote[289].speaker SPEAKER_18
transcript.pyannote[289].start 3237.60096875
transcript.pyannote[289].end 3238.00596875
transcript.pyannote[290].speaker SPEAKER_05
transcript.pyannote[290].start 3238.00596875
transcript.pyannote[290].end 3239.06909375
transcript.pyannote[291].speaker SPEAKER_05
transcript.pyannote[291].start 3240.52034375
transcript.pyannote[291].end 3240.92534375
transcript.pyannote[292].speaker SPEAKER_05
transcript.pyannote[292].start 3242.20784375
transcript.pyannote[292].end 3243.20346875
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 3243.54096875
transcript.pyannote[293].end 3245.26221875
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 3245.61659375
transcript.pyannote[294].end 3246.46034375
transcript.pyannote[295].speaker SPEAKER_05
transcript.pyannote[295].start 3246.88221875
transcript.pyannote[295].end 3251.50596875
transcript.pyannote[296].speaker SPEAKER_25
transcript.pyannote[296].start 3252.61971875
transcript.pyannote[296].end 3252.94034375
transcript.pyannote[297].speaker SPEAKER_05
transcript.pyannote[297].start 3252.67034375
transcript.pyannote[297].end 3253.22721875
transcript.pyannote[298].speaker SPEAKER_05
transcript.pyannote[298].start 3253.32846875
transcript.pyannote[298].end 3256.01159375
transcript.pyannote[299].speaker SPEAKER_25
transcript.pyannote[299].start 3254.76284375
transcript.pyannote[299].end 3255.20159375
transcript.pyannote[300].speaker SPEAKER_05
transcript.pyannote[300].start 3256.92284375
transcript.pyannote[300].end 3257.34471875
transcript.pyannote[301].speaker SPEAKER_25
transcript.pyannote[301].start 3256.93971875
transcript.pyannote[301].end 3258.05346875
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 3258.20534375
transcript.pyannote[302].end 3272.53221875
transcript.pyannote[303].speaker SPEAKER_25
transcript.pyannote[303].start 3258.84659375
transcript.pyannote[303].end 3260.31471875
transcript.pyannote[304].speaker SPEAKER_25
transcript.pyannote[304].start 3261.49596875
transcript.pyannote[304].end 3261.91784375
transcript.pyannote[305].speaker SPEAKER_25
transcript.pyannote[305].start 3264.17909375
transcript.pyannote[305].end 3264.56721875
transcript.pyannote[306].speaker SPEAKER_18
transcript.pyannote[306].start 3271.04721875
transcript.pyannote[306].end 3271.06409375
transcript.pyannote[307].speaker SPEAKER_22
transcript.pyannote[307].start 3271.06409375
transcript.pyannote[307].end 3271.45221875
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 3272.65034375
transcript.pyannote[308].end 3273.98346875
transcript.pyannote[309].speaker SPEAKER_25
transcript.pyannote[309].start 3273.62909375
transcript.pyannote[309].end 3273.64596875
transcript.pyannote[310].speaker SPEAKER_22
transcript.pyannote[310].start 3273.64596875
transcript.pyannote[310].end 3273.96659375
transcript.pyannote[311].speaker SPEAKER_05
transcript.pyannote[311].start 3274.72596875
transcript.pyannote[311].end 3275.50221875
transcript.pyannote[312].speaker SPEAKER_05
transcript.pyannote[312].start 3275.78909375
transcript.pyannote[312].end 3277.44284375
transcript.pyannote[313].speaker SPEAKER_22
transcript.pyannote[313].start 3278.13471875
transcript.pyannote[313].end 3278.38784375
transcript.pyannote[314].speaker SPEAKER_05
transcript.pyannote[314].start 3278.62409375
transcript.pyannote[314].end 3284.14221875
transcript.pyannote[315].speaker SPEAKER_05
transcript.pyannote[315].start 3284.19284375
transcript.pyannote[315].end 3284.20971875
transcript.pyannote[316].speaker SPEAKER_24
transcript.pyannote[316].start 3284.20971875
transcript.pyannote[316].end 3284.56409375
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 3284.59784375
transcript.pyannote[317].end 3290.11596875
transcript.pyannote[318].speaker SPEAKER_24
transcript.pyannote[318].start 3290.35221875
transcript.pyannote[318].end 3292.12409375
transcript.pyannote[319].speaker SPEAKER_05
transcript.pyannote[319].start 3290.67284375
transcript.pyannote[319].end 3292.17471875
transcript.pyannote[320].speaker SPEAKER_05
transcript.pyannote[320].start 3292.52909375
transcript.pyannote[320].end 3294.06471875
transcript.pyannote[321].speaker SPEAKER_24
transcript.pyannote[321].start 3292.56284375
transcript.pyannote[321].end 3293.96346875
transcript.pyannote[322].speaker SPEAKER_05
transcript.pyannote[322].start 3294.38534375
transcript.pyannote[322].end 3301.77659375
transcript.pyannote[323].speaker SPEAKER_05
transcript.pyannote[323].start 3302.70471875
transcript.pyannote[323].end 3303.56534375
transcript.pyannote[324].speaker SPEAKER_05
transcript.pyannote[324].start 3303.83534375
transcript.pyannote[324].end 3307.27784375
transcript.pyannote[325].speaker SPEAKER_17
transcript.pyannote[325].start 3307.21034375
transcript.pyannote[325].end 3307.69971875
transcript.pyannote[326].speaker SPEAKER_05
transcript.pyannote[326].start 3307.69971875
transcript.pyannote[326].end 3310.04534375
transcript.pyannote[327].speaker SPEAKER_05
transcript.pyannote[327].start 3310.53471875
transcript.pyannote[327].end 3312.94784375
transcript.pyannote[328].speaker SPEAKER_17
transcript.pyannote[328].start 3311.59784375
transcript.pyannote[328].end 3311.98596875
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 3313.03221875
transcript.pyannote[329].end 3322.92096875
transcript.pyannote[330].speaker SPEAKER_25
transcript.pyannote[330].start 3323.00534375
transcript.pyannote[330].end 3324.25409375
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 3335.00346875
transcript.pyannote[331].end 3336.94409375
transcript.pyannote[332].speaker SPEAKER_20
transcript.pyannote[332].start 3345.46596875
transcript.pyannote[332].end 3347.65971875
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 3347.98034375
transcript.pyannote[333].end 3349.26284375
transcript.pyannote[334].speaker SPEAKER_20
transcript.pyannote[334].start 3355.21971875
transcript.pyannote[334].end 3363.58971875
transcript.pyannote[335].speaker SPEAKER_20
transcript.pyannote[335].start 3363.65721875
transcript.pyannote[335].end 3426.88784375
transcript.pyannote[336].speaker SPEAKER_20
transcript.pyannote[336].start 3427.30971875
transcript.pyannote[336].end 3443.29034375
transcript.pyannote[337].speaker SPEAKER_25
transcript.pyannote[337].start 3443.40846875
transcript.pyannote[337].end 3455.62596875
transcript.pyannote[338].speaker SPEAKER_25
transcript.pyannote[338].start 3455.87909375
transcript.pyannote[338].end 3459.50721875
transcript.pyannote[339].speaker SPEAKER_25
transcript.pyannote[339].start 3460.45221875
transcript.pyannote[339].end 3473.74971875
transcript.pyannote[340].speaker SPEAKER_20
transcript.pyannote[340].start 3472.41659375
transcript.pyannote[340].end 3472.87221875
transcript.pyannote[341].speaker SPEAKER_20
transcript.pyannote[341].start 3473.26034375
transcript.pyannote[341].end 3484.06034375
transcript.pyannote[342].speaker SPEAKER_25
transcript.pyannote[342].start 3485.08971875
transcript.pyannote[342].end 3486.01784375
transcript.pyannote[343].speaker SPEAKER_20
transcript.pyannote[343].start 3485.64659375
transcript.pyannote[343].end 3487.13159375
transcript.pyannote[344].speaker SPEAKER_25
transcript.pyannote[344].start 3488.14409375
transcript.pyannote[344].end 3489.91596875
transcript.pyannote[345].speaker SPEAKER_25
transcript.pyannote[345].start 3490.35471875
transcript.pyannote[345].end 3511.65096875
transcript.pyannote[346].speaker SPEAKER_20
transcript.pyannote[346].start 3493.67909375
transcript.pyannote[346].end 3493.72971875
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 3493.72971875
transcript.pyannote[347].end 3493.88159375
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 3499.73721875
transcript.pyannote[348].end 3499.87221875
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 3503.04471875
transcript.pyannote[349].end 3503.43284375
transcript.pyannote[350].speaker SPEAKER_20
transcript.pyannote[350].start 3510.82409375
transcript.pyannote[350].end 3517.86096875
transcript.pyannote[351].speaker SPEAKER_25
transcript.pyannote[351].start 3513.08534375
transcript.pyannote[351].end 3515.49846875
transcript.pyannote[352].speaker SPEAKER_25
transcript.pyannote[352].start 3516.46034375
transcript.pyannote[352].end 3516.86534375
transcript.pyannote[353].speaker SPEAKER_25
transcript.pyannote[353].start 3517.28721875
transcript.pyannote[353].end 3517.37159375
transcript.pyannote[354].speaker SPEAKER_18
transcript.pyannote[354].start 3517.37159375
transcript.pyannote[354].end 3517.79346875
transcript.pyannote[355].speaker SPEAKER_20
transcript.pyannote[355].start 3517.99596875
transcript.pyannote[355].end 3544.01721875
transcript.pyannote[356].speaker SPEAKER_18
transcript.pyannote[356].start 3524.59409375
transcript.pyannote[356].end 3524.96534375
transcript.pyannote[357].speaker SPEAKER_20
transcript.pyannote[357].start 3544.52346875
transcript.pyannote[357].end 3551.62784375
transcript.pyannote[358].speaker SPEAKER_20
transcript.pyannote[358].start 3551.83034375
transcript.pyannote[358].end 3551.89784375
transcript.pyannote[359].speaker SPEAKER_25
transcript.pyannote[359].start 3551.89784375
transcript.pyannote[359].end 3574.61159375
transcript.pyannote[360].speaker SPEAKER_23
transcript.pyannote[360].start 3562.46159375
transcript.pyannote[360].end 3562.63034375
transcript.pyannote[361].speaker SPEAKER_20
transcript.pyannote[361].start 3570.52784375
transcript.pyannote[361].end 3578.96534375
transcript.pyannote[362].speaker SPEAKER_25
transcript.pyannote[362].start 3578.83034375
transcript.pyannote[362].end 3599.40096875
transcript.pyannote[363].speaker SPEAKER_20
transcript.pyannote[363].start 3580.99034375
transcript.pyannote[363].end 3581.42909375
transcript.pyannote[364].speaker SPEAKER_20
transcript.pyannote[364].start 3584.50034375
transcript.pyannote[364].end 3584.90534375
transcript.pyannote[365].speaker SPEAKER_00
transcript.pyannote[365].start 3589.64721875
transcript.pyannote[365].end 3589.66409375
transcript.pyannote[366].speaker SPEAKER_20
transcript.pyannote[366].start 3598.18596875
transcript.pyannote[366].end 3599.19846875
transcript.pyannote[367].speaker SPEAKER_20
transcript.pyannote[367].start 3599.40096875
transcript.pyannote[367].end 3599.46846875
transcript.pyannote[368].speaker SPEAKER_25
transcript.pyannote[368].start 3599.46846875
transcript.pyannote[368].end 3599.48534375
transcript.pyannote[369].speaker SPEAKER_20
transcript.pyannote[369].start 3599.48534375
transcript.pyannote[369].end 3638.80409375
transcript.pyannote[370].speaker SPEAKER_25
transcript.pyannote[370].start 3599.56971875
transcript.pyannote[370].end 3600.17721875
transcript.pyannote[371].speaker SPEAKER_25
transcript.pyannote[371].start 3604.29471875
transcript.pyannote[371].end 3604.71659375
transcript.pyannote[372].speaker SPEAKER_00
transcript.pyannote[372].start 3631.56471875
transcript.pyannote[372].end 3631.59846875
transcript.pyannote[373].speaker SPEAKER_00
transcript.pyannote[373].start 3631.61534375
transcript.pyannote[373].end 3631.80096875
transcript.pyannote[374].speaker SPEAKER_20
transcript.pyannote[374].start 3639.63096875
transcript.pyannote[374].end 3649.87409375
transcript.pyannote[375].speaker SPEAKER_25
transcript.pyannote[375].start 3651.56159375
transcript.pyannote[375].end 3673.60034375
transcript.pyannote[376].speaker SPEAKER_18
transcript.pyannote[376].start 3664.87596875
transcript.pyannote[376].end 3664.89284375
transcript.pyannote[377].speaker SPEAKER_20
transcript.pyannote[377].start 3673.60034375
transcript.pyannote[377].end 3683.38784375
transcript.pyannote[378].speaker SPEAKER_25
transcript.pyannote[378].start 3673.61721875
transcript.pyannote[378].end 3673.65096875
transcript.pyannote[379].speaker SPEAKER_20
transcript.pyannote[379].start 3683.70846875
transcript.pyannote[379].end 3697.05659375
transcript.pyannote[380].speaker SPEAKER_25
transcript.pyannote[380].start 3697.34346875
transcript.pyannote[380].end 3699.92534375
transcript.pyannote[381].speaker SPEAKER_25
transcript.pyannote[381].start 3700.43159375
transcript.pyannote[381].end 3705.89909375
transcript.pyannote[382].speaker SPEAKER_20
transcript.pyannote[382].start 3703.03034375
transcript.pyannote[382].end 3704.75159375
transcript.pyannote[383].speaker SPEAKER_20
transcript.pyannote[383].start 3705.42659375
transcript.pyannote[383].end 3713.64471875
transcript.pyannote[384].speaker SPEAKER_25
transcript.pyannote[384].start 3707.35034375
transcript.pyannote[384].end 3707.68784375
transcript.pyannote[385].speaker SPEAKER_17
transcript.pyannote[385].start 3713.61096875
transcript.pyannote[385].end 3714.03284375
transcript.pyannote[386].speaker SPEAKER_20
transcript.pyannote[386].start 3713.77971875
transcript.pyannote[386].end 3721.94721875
transcript.pyannote[387].speaker SPEAKER_20
transcript.pyannote[387].start 3722.18346875
transcript.pyannote[387].end 3730.33409375
transcript.pyannote[388].speaker SPEAKER_20
transcript.pyannote[388].start 3730.43534375
transcript.pyannote[388].end 3731.41409375
transcript.pyannote[389].speaker SPEAKER_20
transcript.pyannote[389].start 3731.65034375
transcript.pyannote[389].end 3735.00846875
transcript.pyannote[390].speaker SPEAKER_25
transcript.pyannote[390].start 3736.13909375
transcript.pyannote[390].end 3744.08721875
transcript.pyannote[391].speaker SPEAKER_25
transcript.pyannote[391].start 3744.93096875
transcript.pyannote[391].end 3761.36721875
transcript.pyannote[392].speaker SPEAKER_20
transcript.pyannote[392].start 3750.55034375
transcript.pyannote[392].end 3750.58409375
transcript.pyannote[393].speaker SPEAKER_18
transcript.pyannote[393].start 3750.58409375
transcript.pyannote[393].end 3750.97221875
transcript.pyannote[394].speaker SPEAKER_17
transcript.pyannote[394].start 3750.97221875
transcript.pyannote[394].end 3751.07346875
transcript.pyannote[395].speaker SPEAKER_20
transcript.pyannote[395].start 3751.07346875
transcript.pyannote[395].end 3751.10721875
transcript.pyannote[396].speaker SPEAKER_18
transcript.pyannote[396].start 3751.10721875
transcript.pyannote[396].end 3751.12409375
transcript.pyannote[397].speaker SPEAKER_20
transcript.pyannote[397].start 3759.88221875
transcript.pyannote[397].end 3776.13284375
transcript.pyannote[398].speaker SPEAKER_25
transcript.pyannote[398].start 3766.17659375
transcript.pyannote[398].end 3766.32846875
transcript.pyannote[399].speaker SPEAKER_18
transcript.pyannote[399].start 3775.54221875
transcript.pyannote[399].end 3776.09909375
transcript.pyannote[400].speaker SPEAKER_18
transcript.pyannote[400].start 3776.13284375
transcript.pyannote[400].end 3776.20034375
transcript.pyannote[401].speaker SPEAKER_20
transcript.pyannote[401].start 3776.20034375
transcript.pyannote[401].end 3776.23409375
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 3776.23409375
transcript.pyannote[402].end 3776.25096875
transcript.pyannote[403].speaker SPEAKER_20
transcript.pyannote[403].start 3776.25096875
transcript.pyannote[403].end 3776.26784375
transcript.pyannote[404].speaker SPEAKER_20
transcript.pyannote[404].start 3776.31846875
transcript.pyannote[404].end 3779.72721875
transcript.pyannote[405].speaker SPEAKER_20
transcript.pyannote[405].start 3779.96346875
transcript.pyannote[405].end 3790.07159375
transcript.pyannote[406].speaker SPEAKER_25
transcript.pyannote[406].start 3790.71284375
transcript.pyannote[406].end 3798.07034375
transcript.pyannote[407].speaker SPEAKER_20
transcript.pyannote[407].start 3791.65784375
transcript.pyannote[407].end 3791.92784375
transcript.pyannote[408].speaker SPEAKER_20
transcript.pyannote[408].start 3795.50534375
transcript.pyannote[408].end 3796.85534375
transcript.pyannote[409].speaker SPEAKER_20
transcript.pyannote[409].start 3797.66534375
transcript.pyannote[409].end 3803.13284375
transcript.pyannote[410].speaker SPEAKER_20
transcript.pyannote[410].start 3803.23409375
transcript.pyannote[410].end 3808.41471875
transcript.pyannote[411].speaker SPEAKER_25
transcript.pyannote[411].start 3804.61784375
transcript.pyannote[411].end 3805.59659375
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 3805.59659375
transcript.pyannote[412].end 3805.61346875
transcript.pyannote[413].speaker SPEAKER_20
transcript.pyannote[413].start 3809.02221875
transcript.pyannote[413].end 3811.40159375
transcript.pyannote[414].speaker SPEAKER_20
transcript.pyannote[414].start 3811.84034375
transcript.pyannote[414].end 3812.53221875
transcript.pyannote[415].speaker SPEAKER_20
transcript.pyannote[415].start 3812.93721875
transcript.pyannote[415].end 3825.98159375
transcript.pyannote[416].speaker SPEAKER_20
transcript.pyannote[416].start 3826.79159375
transcript.pyannote[416].end 3827.24721875
transcript.pyannote[417].speaker SPEAKER_20
transcript.pyannote[417].start 3828.22596875
transcript.pyannote[417].end 3830.77409375
transcript.pyannote[418].speaker SPEAKER_20
transcript.pyannote[418].start 3831.11159375
transcript.pyannote[418].end 3837.32159375
transcript.pyannote[419].speaker SPEAKER_20
transcript.pyannote[419].start 3838.01346875
transcript.pyannote[419].end 3842.94096875
transcript.pyannote[420].speaker SPEAKER_25
transcript.pyannote[420].start 3843.24471875
transcript.pyannote[420].end 3847.64909375
transcript.pyannote[421].speaker SPEAKER_25
transcript.pyannote[421].start 3848.34096875
transcript.pyannote[421].end 3860.98034375
transcript.pyannote[422].speaker SPEAKER_20
transcript.pyannote[422].start 3860.98034375
transcript.pyannote[422].end 3871.34159375
transcript.pyannote[423].speaker SPEAKER_20
transcript.pyannote[423].start 3872.38784375
transcript.pyannote[423].end 3878.49659375
transcript.pyannote[424].speaker SPEAKER_20
transcript.pyannote[424].start 3878.59784375
transcript.pyannote[424].end 3923.13096875
transcript.pyannote[425].speaker SPEAKER_20
transcript.pyannote[425].start 3923.68784375
transcript.pyannote[425].end 3938.79096875
transcript.pyannote[426].speaker SPEAKER_25
transcript.pyannote[426].start 3940.66409375
transcript.pyannote[426].end 3945.50721875
transcript.pyannote[427].speaker SPEAKER_25
transcript.pyannote[427].start 3945.97971875
transcript.pyannote[427].end 3953.45534375
transcript.pyannote[428].speaker SPEAKER_25
transcript.pyannote[428].start 3954.11346875
transcript.pyannote[428].end 3954.56909375
transcript.pyannote[429].speaker SPEAKER_25
transcript.pyannote[429].start 3957.87659375
transcript.pyannote[429].end 3982.17659375
transcript.pyannote[430].speaker SPEAKER_20
transcript.pyannote[430].start 3958.09596875
transcript.pyannote[430].end 3959.61471875
transcript.pyannote[431].speaker SPEAKER_20
transcript.pyannote[431].start 3980.33721875
transcript.pyannote[431].end 3980.79284375
transcript.pyannote[432].speaker SPEAKER_20
transcript.pyannote[432].start 3982.31159375
transcript.pyannote[432].end 4004.01284375
transcript.pyannote[433].speaker SPEAKER_25
transcript.pyannote[433].start 3985.48409375
transcript.pyannote[433].end 3985.97346875
transcript.pyannote[434].speaker SPEAKER_25
transcript.pyannote[434].start 3986.15909375
transcript.pyannote[434].end 3986.17596875
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 4003.72596875
transcript.pyannote[435].end 4009.46346875
transcript.pyannote[436].speaker SPEAKER_03
transcript.pyannote[436].start 4016.06159375
transcript.pyannote[436].end 4018.12034375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 4018.60971875
transcript.pyannote[437].end 4019.48721875
transcript.pyannote[438].speaker SPEAKER_03
transcript.pyannote[438].start 4025.73096875
transcript.pyannote[438].end 4026.10221875
transcript.pyannote[439].speaker SPEAKER_03
transcript.pyannote[439].start 4026.65909375
transcript.pyannote[439].end 4030.08471875
transcript.pyannote[440].speaker SPEAKER_25
transcript.pyannote[440].start 4030.08471875
transcript.pyannote[440].end 4030.10159375
transcript.pyannote[441].speaker SPEAKER_17
transcript.pyannote[441].start 4030.10159375
transcript.pyannote[441].end 4030.43909375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 4030.64159375
transcript.pyannote[442].end 4036.63221875
transcript.pyannote[443].speaker SPEAKER_25
transcript.pyannote[443].start 4036.75034375
transcript.pyannote[443].end 4043.36534375
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 4043.14596875
transcript.pyannote[444].end 4043.46659375
transcript.pyannote[445].speaker SPEAKER_25
transcript.pyannote[445].start 4043.46659375
transcript.pyannote[445].end 4064.74596875
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 4061.59034375
transcript.pyannote[446].end 4062.55221875
transcript.pyannote[447].speaker SPEAKER_03
transcript.pyannote[447].start 4064.74596875
transcript.pyannote[447].end 4065.48846875
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 4065.65721875
transcript.pyannote[448].end 4084.69221875
transcript.pyannote[449].speaker SPEAKER_25
transcript.pyannote[449].start 4069.55534375
transcript.pyannote[449].end 4069.63971875
transcript.pyannote[450].speaker SPEAKER_25
transcript.pyannote[450].start 4081.65471875
transcript.pyannote[450].end 4082.04284375
transcript.pyannote[451].speaker SPEAKER_25
transcript.pyannote[451].start 4084.69221875
transcript.pyannote[451].end 4084.92846875
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 4084.92846875
transcript.pyannote[452].end 4086.21096875
transcript.pyannote[453].speaker SPEAKER_25
transcript.pyannote[453].start 4086.34596875
transcript.pyannote[453].end 4103.65971875
transcript.pyannote[454].speaker SPEAKER_25
transcript.pyannote[454].start 4103.77784375
transcript.pyannote[454].end 4115.99534375
transcript.pyannote[455].speaker SPEAKER_25
transcript.pyannote[455].start 4116.38346875
transcript.pyannote[455].end 4125.04034375
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 4125.14159375
transcript.pyannote[456].end 4131.21659375
transcript.pyannote[457].speaker SPEAKER_25
transcript.pyannote[457].start 4130.35596875
transcript.pyannote[457].end 4131.35159375
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 4131.35159375
transcript.pyannote[458].end 4138.79346875
transcript.pyannote[459].speaker SPEAKER_25
transcript.pyannote[459].start 4134.77721875
transcript.pyannote[459].end 4135.18221875
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 4139.06346875
transcript.pyannote[460].end 4142.42159375
transcript.pyannote[461].speaker SPEAKER_18
transcript.pyannote[461].start 4141.57784375
transcript.pyannote[461].end 4141.98284375
transcript.pyannote[462].speaker SPEAKER_00
transcript.pyannote[462].start 4141.98284375
transcript.pyannote[462].end 4142.05034375
transcript.pyannote[463].speaker SPEAKER_03
transcript.pyannote[463].start 4142.62409375
transcript.pyannote[463].end 4157.84534375
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 4146.77534375
transcript.pyannote[464].end 4146.79221875
transcript.pyannote[465].speaker SPEAKER_18
transcript.pyannote[465].start 4146.79221875
transcript.pyannote[465].end 4146.97784375
transcript.pyannote[466].speaker SPEAKER_00
transcript.pyannote[466].start 4146.97784375
transcript.pyannote[466].end 4147.18034375
transcript.pyannote[467].speaker SPEAKER_25
transcript.pyannote[467].start 4154.06534375
transcript.pyannote[467].end 4154.58846875
transcript.pyannote[468].speaker SPEAKER_25
transcript.pyannote[468].start 4158.06471875
transcript.pyannote[468].end 4164.52784375
transcript.pyannote[469].speaker SPEAKER_25
transcript.pyannote[469].start 4164.74721875
transcript.pyannote[469].end 4173.70784375
transcript.pyannote[470].speaker SPEAKER_25
transcript.pyannote[470].start 4173.82596875
transcript.pyannote[470].end 4176.79596875
transcript.pyannote[471].speaker SPEAKER_03
transcript.pyannote[471].start 4176.67784375
transcript.pyannote[471].end 4184.74409375
transcript.pyannote[472].speaker SPEAKER_03
transcript.pyannote[472].start 4185.01409375
transcript.pyannote[472].end 4197.77159375
transcript.pyannote[473].speaker SPEAKER_25
transcript.pyannote[473].start 4191.22409375
transcript.pyannote[473].end 4191.34221875
transcript.pyannote[474].speaker SPEAKER_25
transcript.pyannote[474].start 4193.23221875
transcript.pyannote[474].end 4193.65409375
transcript.pyannote[475].speaker SPEAKER_22
transcript.pyannote[475].start 4193.65409375
transcript.pyannote[475].end 4193.68784375
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 4197.67034375
transcript.pyannote[476].end 4198.17659375
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 4197.92346875
transcript.pyannote[477].end 4216.24971875
transcript.pyannote[478].speaker SPEAKER_25
transcript.pyannote[478].start 4216.35096875
transcript.pyannote[478].end 4222.74659375
transcript.pyannote[479].speaker SPEAKER_03
transcript.pyannote[479].start 4221.93659375
transcript.pyannote[479].end 4227.52221875
transcript.pyannote[480].speaker SPEAKER_03
transcript.pyannote[480].start 4227.79221875
transcript.pyannote[480].end 4242.35534375
transcript.pyannote[481].speaker SPEAKER_03
transcript.pyannote[481].start 4242.64221875
transcript.pyannote[481].end 4246.27034375
transcript.pyannote[482].speaker SPEAKER_03
transcript.pyannote[482].start 4246.32096875
transcript.pyannote[482].end 4246.40534375
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 4246.52346875
transcript.pyannote[483].end 4254.69096875
transcript.pyannote[484].speaker SPEAKER_03
transcript.pyannote[484].start 4255.14659375
transcript.pyannote[484].end 4256.14221875
transcript.pyannote[485].speaker SPEAKER_25
transcript.pyannote[485].start 4256.14221875
transcript.pyannote[485].end 4257.76221875
transcript.pyannote[486].speaker SPEAKER_25
transcript.pyannote[486].start 4258.55534375
transcript.pyannote[486].end 4269.37221875
transcript.pyannote[487].speaker SPEAKER_25
transcript.pyannote[487].start 4269.96284375
transcript.pyannote[487].end 4275.22784375
transcript.pyannote[488].speaker SPEAKER_03
transcript.pyannote[488].start 4275.26159375
transcript.pyannote[488].end 4276.93221875
transcript.pyannote[489].speaker SPEAKER_25
transcript.pyannote[489].start 4276.84784375
transcript.pyannote[489].end 4277.82659375
transcript.pyannote[490].speaker SPEAKER_03
transcript.pyannote[490].start 4277.82659375
transcript.pyannote[490].end 4290.55034375
transcript.pyannote[491].speaker SPEAKER_25
transcript.pyannote[491].start 4290.55034375
transcript.pyannote[491].end 4293.75659375
transcript.pyannote[492].speaker SPEAKER_03
transcript.pyannote[492].start 4291.44471875
transcript.pyannote[492].end 4291.84971875
transcript.pyannote[493].speaker SPEAKER_03
transcript.pyannote[493].start 4293.08159375
transcript.pyannote[493].end 4296.11909375
transcript.pyannote[494].speaker SPEAKER_25
transcript.pyannote[494].start 4294.95471875
transcript.pyannote[494].end 4301.09721875
transcript.pyannote[495].speaker SPEAKER_03
transcript.pyannote[495].start 4300.79346875
transcript.pyannote[495].end 4303.44284375
transcript.pyannote[496].speaker SPEAKER_25
transcript.pyannote[496].start 4301.90721875
transcript.pyannote[496].end 4307.15534375
transcript.pyannote[497].speaker SPEAKER_03
transcript.pyannote[497].start 4307.50971875
transcript.pyannote[497].end 4331.60721875
transcript.pyannote[498].speaker SPEAKER_25
transcript.pyannote[498].start 4307.59409375
transcript.pyannote[498].end 4307.93159375
transcript.pyannote[499].speaker SPEAKER_25
transcript.pyannote[499].start 4331.92784375
transcript.pyannote[499].end 4335.37034375
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 4334.69534375
transcript.pyannote[500].end 4335.03284375
transcript.pyannote[501].speaker SPEAKER_03
transcript.pyannote[501].start 4335.31971875
transcript.pyannote[501].end 4339.90971875
transcript.pyannote[502].speaker SPEAKER_03
transcript.pyannote[502].start 4340.58471875
transcript.pyannote[502].end 4347.52034375
transcript.pyannote[503].speaker SPEAKER_25
transcript.pyannote[503].start 4346.52471875
transcript.pyannote[503].end 4347.08159375
transcript.pyannote[504].speaker SPEAKER_25
transcript.pyannote[504].start 4347.45284375
transcript.pyannote[504].end 4357.13909375
transcript.pyannote[505].speaker SPEAKER_25
transcript.pyannote[505].start 4357.27409375
transcript.pyannote[505].end 4361.25659375
transcript.pyannote[506].speaker SPEAKER_03
transcript.pyannote[506].start 4360.71659375
transcript.pyannote[506].end 4362.31971875
transcript.pyannote[507].speaker SPEAKER_03
transcript.pyannote[507].start 4362.77534375
transcript.pyannote[507].end 4369.00221875
transcript.pyannote[508].speaker SPEAKER_25
transcript.pyannote[508].start 4365.47534375
transcript.pyannote[508].end 4365.94784375
transcript.pyannote[509].speaker SPEAKER_25
transcript.pyannote[509].start 4368.27659375
transcript.pyannote[509].end 4368.31034375
transcript.pyannote[510].speaker SPEAKER_17
transcript.pyannote[510].start 4368.31034375
transcript.pyannote[510].end 4369.27221875
transcript.pyannote[511].speaker SPEAKER_03
transcript.pyannote[511].start 4369.05284375
transcript.pyannote[511].end 4392.32346875
transcript.pyannote[512].speaker SPEAKER_03
transcript.pyannote[512].start 4392.72846875
transcript.pyannote[512].end 4397.62221875
transcript.pyannote[513].speaker SPEAKER_25
transcript.pyannote[513].start 4397.77409375
transcript.pyannote[513].end 4406.34659375
transcript.pyannote[514].speaker SPEAKER_25
transcript.pyannote[514].start 4406.54909375
transcript.pyannote[514].end 4411.47659375
transcript.pyannote[515].speaker SPEAKER_03
transcript.pyannote[515].start 4410.39659375
transcript.pyannote[515].end 4414.86846875
transcript.pyannote[516].speaker SPEAKER_25
transcript.pyannote[516].start 4414.53096875
transcript.pyannote[516].end 4424.01471875
transcript.pyannote[517].speaker SPEAKER_03
transcript.pyannote[517].start 4423.52534375
transcript.pyannote[517].end 4425.14534375
transcript.pyannote[518].speaker SPEAKER_25
transcript.pyannote[518].start 4425.55034375
transcript.pyannote[518].end 4427.11971875
transcript.pyannote[519].speaker SPEAKER_03
transcript.pyannote[519].start 4426.73159375
transcript.pyannote[519].end 4427.69346875
transcript.pyannote[520].speaker SPEAKER_25
transcript.pyannote[520].start 4428.48659375
transcript.pyannote[520].end 4432.43534375
transcript.pyannote[521].speaker SPEAKER_03
transcript.pyannote[521].start 4431.18659375
transcript.pyannote[521].end 4433.90346875
transcript.pyannote[522].speaker SPEAKER_25
transcript.pyannote[522].start 4433.21159375
transcript.pyannote[522].end 4434.84846875
transcript.pyannote[523].speaker SPEAKER_03
transcript.pyannote[523].start 4434.81471875
transcript.pyannote[523].end 4436.33346875
transcript.pyannote[524].speaker SPEAKER_25
transcript.pyannote[524].start 4434.88221875
transcript.pyannote[524].end 4435.15221875
transcript.pyannote[525].speaker SPEAKER_25
transcript.pyannote[525].start 4436.58659375
transcript.pyannote[525].end 4438.39221875
transcript.pyannote[526].speaker SPEAKER_03
transcript.pyannote[526].start 4437.56534375
transcript.pyannote[526].end 4442.56034375
transcript.pyannote[527].speaker SPEAKER_25
transcript.pyannote[527].start 4438.86471875
transcript.pyannote[527].end 4439.28659375
transcript.pyannote[528].speaker SPEAKER_25
transcript.pyannote[528].start 4439.53971875
transcript.pyannote[528].end 4439.99534375
transcript.pyannote[529].speaker SPEAKER_25
transcript.pyannote[529].start 4442.37471875
transcript.pyannote[529].end 4442.69534375
transcript.pyannote[530].speaker SPEAKER_03
transcript.pyannote[530].start 4442.69534375
transcript.pyannote[530].end 4455.48659375
transcript.pyannote[531].speaker SPEAKER_25
transcript.pyannote[531].start 4451.75721875
transcript.pyannote[531].end 4451.79096875
transcript.pyannote[532].speaker SPEAKER_25
transcript.pyannote[532].start 4451.82471875
transcript.pyannote[532].end 4452.17909375
transcript.pyannote[533].speaker SPEAKER_25
transcript.pyannote[533].start 4454.96346875
transcript.pyannote[533].end 4460.09346875
transcript.pyannote[534].speaker SPEAKER_03
transcript.pyannote[534].start 4459.63784375
transcript.pyannote[534].end 4464.85221875
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 4465.37534375
transcript.pyannote[535].end 4466.55659375
transcript.pyannote[536].speaker SPEAKER_25
transcript.pyannote[536].start 4467.18096875
transcript.pyannote[536].end 4475.70284375
transcript.pyannote[537].speaker SPEAKER_03
transcript.pyannote[537].start 4467.34971875
transcript.pyannote[537].end 4467.43409375
transcript.pyannote[538].speaker SPEAKER_03
transcript.pyannote[538].start 4475.77034375
transcript.pyannote[538].end 4479.80346875
transcript.pyannote[539].speaker SPEAKER_25
transcript.pyannote[539].start 4478.06534375
transcript.pyannote[539].end 4483.48221875
transcript.pyannote[540].speaker SPEAKER_25
transcript.pyannote[540].start 4484.10659375
transcript.pyannote[540].end 4494.97409375
transcript.pyannote[541].speaker SPEAKER_03
transcript.pyannote[541].start 4494.34971875
transcript.pyannote[541].end 4510.27971875
transcript.pyannote[542].speaker SPEAKER_25
transcript.pyannote[542].start 4495.04159375
transcript.pyannote[542].end 4495.09221875
transcript.pyannote[543].speaker SPEAKER_25
transcript.pyannote[543].start 4495.10909375
transcript.pyannote[543].end 4495.26096875
transcript.pyannote[544].speaker SPEAKER_25
transcript.pyannote[544].start 4499.00721875
transcript.pyannote[544].end 4499.17596875
transcript.pyannote[545].speaker SPEAKER_22
transcript.pyannote[545].start 4503.15846875
transcript.pyannote[545].end 4503.20909375
transcript.pyannote[546].speaker SPEAKER_23
transcript.pyannote[546].start 4503.20909375
transcript.pyannote[546].end 4503.24284375
transcript.pyannote[547].speaker SPEAKER_22
transcript.pyannote[547].start 4503.24284375
transcript.pyannote[547].end 4503.34409375
transcript.pyannote[548].speaker SPEAKER_22
transcript.pyannote[548].start 4510.11096875
transcript.pyannote[548].end 4510.12784375
transcript.pyannote[549].speaker SPEAKER_18
transcript.pyannote[549].start 4510.12784375
transcript.pyannote[549].end 4510.24596875
transcript.pyannote[550].speaker SPEAKER_18
transcript.pyannote[550].start 4510.27971875
transcript.pyannote[550].end 4510.44846875
transcript.pyannote[551].speaker SPEAKER_03
transcript.pyannote[551].start 4510.44846875
transcript.pyannote[551].end 4525.39971875
transcript.pyannote[552].speaker SPEAKER_17
transcript.pyannote[552].start 4524.96096875
transcript.pyannote[552].end 4525.77096875
transcript.pyannote[553].speaker SPEAKER_03
transcript.pyannote[553].start 4525.70346875
transcript.pyannote[553].end 4534.98471875
transcript.pyannote[554].speaker SPEAKER_25
transcript.pyannote[554].start 4535.32221875
transcript.pyannote[554].end 4550.74596875
transcript.pyannote[555].speaker SPEAKER_03
transcript.pyannote[555].start 4549.93596875
transcript.pyannote[555].end 4564.02659375
transcript.pyannote[556].speaker SPEAKER_25
transcript.pyannote[556].start 4552.39971875
transcript.pyannote[556].end 4553.17596875
transcript.pyannote[557].speaker SPEAKER_25
transcript.pyannote[557].start 4553.95221875
transcript.pyannote[557].end 4554.30659375
transcript.pyannote[558].speaker SPEAKER_25
transcript.pyannote[558].start 4559.80784375
transcript.pyannote[558].end 4560.93846875
transcript.pyannote[559].speaker SPEAKER_25
transcript.pyannote[559].start 4563.80721875
transcript.pyannote[559].end 4565.76471875
transcript.pyannote[560].speaker SPEAKER_03
transcript.pyannote[560].start 4565.12346875
transcript.pyannote[560].end 4570.72596875
transcript.pyannote[561].speaker SPEAKER_25
transcript.pyannote[561].start 4570.62471875
transcript.pyannote[561].end 4570.67534375
transcript.pyannote[562].speaker SPEAKER_25
transcript.pyannote[562].start 4570.72596875
transcript.pyannote[562].end 4570.96221875
transcript.pyannote[563].speaker SPEAKER_03
transcript.pyannote[563].start 4570.96221875
transcript.pyannote[563].end 4572.49784375
transcript.pyannote[564].speaker SPEAKER_03
transcript.pyannote[564].start 4572.86909375
transcript.pyannote[564].end 4580.09159375
transcript.pyannote[565].speaker SPEAKER_00
transcript.pyannote[565].start 4575.80534375
transcript.pyannote[565].end 4575.83909375
transcript.pyannote[566].speaker SPEAKER_25
transcript.pyannote[566].start 4575.83909375
transcript.pyannote[566].end 4576.00784375
transcript.pyannote[567].speaker SPEAKER_18
transcript.pyannote[567].start 4576.00784375
transcript.pyannote[567].end 4576.12596875
transcript.pyannote[568].speaker SPEAKER_00
transcript.pyannote[568].start 4576.56471875
transcript.pyannote[568].end 4576.63221875
transcript.pyannote[569].speaker SPEAKER_18
transcript.pyannote[569].start 4576.63221875
transcript.pyannote[569].end 4576.64909375
transcript.pyannote[570].speaker SPEAKER_25
transcript.pyannote[570].start 4576.64909375
transcript.pyannote[570].end 4576.96971875
transcript.pyannote[571].speaker SPEAKER_18
transcript.pyannote[571].start 4576.96971875
transcript.pyannote[571].end 4577.44221875
transcript.pyannote[572].speaker SPEAKER_05
transcript.pyannote[572].start 4577.44221875
transcript.pyannote[572].end 4577.86409375
transcript.pyannote[573].speaker SPEAKER_18
transcript.pyannote[573].start 4577.86409375
transcript.pyannote[573].end 4577.91471875
transcript.pyannote[574].speaker SPEAKER_05
transcript.pyannote[574].start 4580.22659375
transcript.pyannote[574].end 4585.72784375
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 4601.72534375
transcript.pyannote[575].end 4603.42971875
transcript.pyannote[576].speaker SPEAKER_05
transcript.pyannote[576].start 4604.02034375
transcript.pyannote[576].end 4604.89784375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 4605.97784375
transcript.pyannote[577].end 4606.73721875
transcript.pyannote[578].speaker SPEAKER_04
transcript.pyannote[578].start 4607.91846875
transcript.pyannote[578].end 4608.54284375
transcript.pyannote[579].speaker SPEAKER_04
transcript.pyannote[579].start 4608.88034375
transcript.pyannote[579].end 4609.38659375
transcript.pyannote[580].speaker SPEAKER_04
transcript.pyannote[580].start 4613.43659375
transcript.pyannote[580].end 4613.97659375
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 4614.95534375
transcript.pyannote[581].end 4618.83659375
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 4619.42721875
transcript.pyannote[582].end 4623.59534375
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 4624.81034375
transcript.pyannote[583].end 4626.09284375
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 4626.59909375
transcript.pyannote[584].end 4628.43846875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 4629.01221875
transcript.pyannote[585].end 4631.30721875
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 4631.69534375
transcript.pyannote[586].end 4632.97784375
transcript.pyannote[587].speaker SPEAKER_04
transcript.pyannote[587].start 4633.23096875
transcript.pyannote[587].end 4635.13784375
transcript.pyannote[588].speaker SPEAKER_04
transcript.pyannote[588].start 4635.96471875
transcript.pyannote[588].end 4638.59721875
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 4638.63096875
transcript.pyannote[589].end 4641.66846875
transcript.pyannote[590].speaker SPEAKER_04
transcript.pyannote[590].start 4643.20409375
transcript.pyannote[590].end 4645.80284375
transcript.pyannote[591].speaker SPEAKER_24
transcript.pyannote[591].start 4644.89159375
transcript.pyannote[591].end 4644.90846875
transcript.pyannote[592].speaker SPEAKER_25
transcript.pyannote[592].start 4644.90846875
transcript.pyannote[592].end 4653.14346875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 4646.19096875
transcript.pyannote[593].end 4646.29221875
transcript.pyannote[594].speaker SPEAKER_24
transcript.pyannote[594].start 4646.29221875
transcript.pyannote[594].end 4648.53659375
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 4653.17721875
transcript.pyannote[595].end 4655.97846875
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 4656.97409375
transcript.pyannote[596].end 4658.34096875
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 4658.99909375
transcript.pyannote[597].end 4659.74159375
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 4660.41659375
transcript.pyannote[598].end 4661.53034375
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 4662.52596875
transcript.pyannote[599].end 4663.26846875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 4663.42034375
transcript.pyannote[600].end 4665.95159375
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 4666.69409375
transcript.pyannote[601].end 4670.59221875
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 4670.92971875
transcript.pyannote[602].end 4672.11096875
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 4673.44409375
transcript.pyannote[603].end 4674.38909375
transcript.pyannote[604].speaker SPEAKER_04
transcript.pyannote[604].start 4674.97971875
transcript.pyannote[604].end 4678.10159375
transcript.pyannote[605].speaker SPEAKER_25
transcript.pyannote[605].start 4679.04659375
transcript.pyannote[605].end 4679.83971875
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 4679.35034375
transcript.pyannote[606].end 4685.77971875
transcript.pyannote[607].speaker SPEAKER_24
transcript.pyannote[607].start 4679.83971875
transcript.pyannote[607].end 4679.95784375
transcript.pyannote[608].speaker SPEAKER_25
transcript.pyannote[608].start 4679.95784375
transcript.pyannote[608].end 4688.41221875
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 4688.49659375
transcript.pyannote[609].end 4691.70284375
transcript.pyannote[610].speaker SPEAKER_25
transcript.pyannote[610].start 4689.62721875
transcript.pyannote[610].end 4691.02784375
transcript.pyannote[611].speaker SPEAKER_24
transcript.pyannote[611].start 4691.02784375
transcript.pyannote[611].end 4691.68596875
transcript.pyannote[612].speaker SPEAKER_25
transcript.pyannote[612].start 4691.68596875
transcript.pyannote[612].end 4691.97284375
transcript.pyannote[613].speaker SPEAKER_24
transcript.pyannote[613].start 4691.97284375
transcript.pyannote[613].end 4693.01909375
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 4693.20471875
transcript.pyannote[614].end 4693.54221875
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 4693.98096875
transcript.pyannote[615].end 4699.71846875
transcript.pyannote[616].speaker SPEAKER_24
transcript.pyannote[616].start 4698.21659375
transcript.pyannote[616].end 4698.23346875
transcript.pyannote[617].speaker SPEAKER_25
transcript.pyannote[617].start 4698.23346875
transcript.pyannote[617].end 4707.63284375
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 4706.77221875
transcript.pyannote[618].end 4710.24846875
transcript.pyannote[619].speaker SPEAKER_04
transcript.pyannote[619].start 4710.94034375
transcript.pyannote[619].end 4711.68284375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 4712.10471875
transcript.pyannote[620].end 4717.36971875
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 4717.96034375
transcript.pyannote[621].end 4726.49909375
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 4727.12346875
transcript.pyannote[622].end 4736.52284375
transcript.pyannote[623].speaker SPEAKER_24
transcript.pyannote[623].start 4731.40971875
transcript.pyannote[623].end 4736.37096875
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 4737.63659375
transcript.pyannote[624].end 4739.30721875
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 4739.94846875
transcript.pyannote[625].end 4740.33659375
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 4741.12971875
transcript.pyannote[626].end 4743.98159375
transcript.pyannote[627].speaker SPEAKER_25
transcript.pyannote[627].start 4742.73284375
transcript.pyannote[627].end 4745.46659375
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 4745.36534375
transcript.pyannote[628].end 4745.71971875
transcript.pyannote[629].speaker SPEAKER_25
transcript.pyannote[629].start 4745.68596875
transcript.pyannote[629].end 4753.06034375
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 4751.55846875
transcript.pyannote[630].end 4756.85721875
transcript.pyannote[631].speaker SPEAKER_25
transcript.pyannote[631].start 4754.22471875
transcript.pyannote[631].end 4767.91034375
transcript.pyannote[632].speaker SPEAKER_04
transcript.pyannote[632].start 4767.35346875
transcript.pyannote[632].end 4782.76034375
transcript.pyannote[633].speaker SPEAKER_04
transcript.pyannote[633].start 4783.53659375
transcript.pyannote[633].end 4789.72971875
transcript.pyannote[634].speaker SPEAKER_24
transcript.pyannote[634].start 4784.78534375
transcript.pyannote[634].end 4787.78909375
transcript.pyannote[635].speaker SPEAKER_04
transcript.pyannote[635].start 4790.08409375
transcript.pyannote[635].end 4790.89409375
transcript.pyannote[636].speaker SPEAKER_04
transcript.pyannote[636].start 4791.75471875
transcript.pyannote[636].end 4793.12159375
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 4794.38721875
transcript.pyannote[637].end 4796.02409375
transcript.pyannote[638].speaker SPEAKER_04
transcript.pyannote[638].start 4797.08721875
transcript.pyannote[638].end 4797.86346875
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 4798.42034375
transcript.pyannote[639].end 4799.80409375
transcript.pyannote[640].speaker SPEAKER_04
transcript.pyannote[640].start 4800.27659375
transcript.pyannote[640].end 4803.22971875
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 4803.73596875
transcript.pyannote[641].end 4806.35159375
transcript.pyannote[642].speaker SPEAKER_04
transcript.pyannote[642].start 4807.29659375
transcript.pyannote[642].end 4817.01659375
transcript.pyannote[643].speaker SPEAKER_04
transcript.pyannote[643].start 4817.47221875
transcript.pyannote[643].end 4821.85971875
transcript.pyannote[644].speaker SPEAKER_04
transcript.pyannote[644].start 4822.31534375
transcript.pyannote[644].end 4827.51284375
transcript.pyannote[645].speaker SPEAKER_04
transcript.pyannote[645].start 4828.05284375
transcript.pyannote[645].end 4828.87971875
transcript.pyannote[646].speaker SPEAKER_04
transcript.pyannote[646].start 4829.53784375
transcript.pyannote[646].end 4831.96784375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 4832.33909375
transcript.pyannote[647].end 4835.05596875
transcript.pyannote[648].speaker SPEAKER_04
transcript.pyannote[648].start 4835.81534375
transcript.pyannote[648].end 4837.51971875
transcript.pyannote[649].speaker SPEAKER_04
transcript.pyannote[649].start 4837.57034375
transcript.pyannote[649].end 4839.10596875
transcript.pyannote[650].speaker SPEAKER_04
transcript.pyannote[650].start 4840.60784375
transcript.pyannote[650].end 4843.69596875
transcript.pyannote[651].speaker SPEAKER_04
transcript.pyannote[651].start 4843.84784375
transcript.pyannote[651].end 4846.17659375
transcript.pyannote[652].speaker SPEAKER_04
transcript.pyannote[652].start 4846.69971875
transcript.pyannote[652].end 4847.30721875
transcript.pyannote[653].speaker SPEAKER_04
transcript.pyannote[653].start 4848.01596875
transcript.pyannote[653].end 4852.01534375
transcript.pyannote[654].speaker SPEAKER_04
transcript.pyannote[654].start 4852.84221875
transcript.pyannote[654].end 4853.82096875
transcript.pyannote[655].speaker SPEAKER_04
transcript.pyannote[655].start 4854.22596875
transcript.pyannote[655].end 4856.74034375
transcript.pyannote[656].speaker SPEAKER_04
transcript.pyannote[656].start 4856.99346875
transcript.pyannote[656].end 4858.24221875
transcript.pyannote[657].speaker SPEAKER_04
transcript.pyannote[657].start 4858.37721875
transcript.pyannote[657].end 4863.03471875
transcript.pyannote[658].speaker SPEAKER_04
transcript.pyannote[658].start 4863.33846875
transcript.pyannote[658].end 4864.57034375
transcript.pyannote[659].speaker SPEAKER_04
transcript.pyannote[659].start 4866.07221875
transcript.pyannote[659].end 4876.09596875
transcript.pyannote[660].speaker SPEAKER_04
transcript.pyannote[660].start 4876.90596875
transcript.pyannote[660].end 4879.26846875
transcript.pyannote[661].speaker SPEAKER_04
transcript.pyannote[661].start 4879.58909375
transcript.pyannote[661].end 4881.25971875
transcript.pyannote[662].speaker SPEAKER_04
transcript.pyannote[662].start 4882.05284375
transcript.pyannote[662].end 4886.47409375
transcript.pyannote[663].speaker SPEAKER_04
transcript.pyannote[663].start 4887.31784375
transcript.pyannote[663].end 4887.94221875
transcript.pyannote[664].speaker SPEAKER_04
transcript.pyannote[664].start 4888.41471875
transcript.pyannote[664].end 4895.28284375
transcript.pyannote[665].speaker SPEAKER_04
transcript.pyannote[665].start 4895.60346875
transcript.pyannote[665].end 4898.16846875
transcript.pyannote[666].speaker SPEAKER_04
transcript.pyannote[666].start 4900.15971875
transcript.pyannote[666].end 4901.20596875
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 4901.93159375
transcript.pyannote[667].end 4904.20971875
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 4904.78346875
transcript.pyannote[668].end 4908.56346875
transcript.pyannote[669].speaker SPEAKER_04
transcript.pyannote[669].start 4909.44096875
transcript.pyannote[669].end 4916.76471875
transcript.pyannote[670].speaker SPEAKER_25
transcript.pyannote[670].start 4918.63784375
transcript.pyannote[670].end 4932.27284375
transcript.pyannote[671].speaker SPEAKER_00
transcript.pyannote[671].start 4923.98721875
transcript.pyannote[671].end 4924.02096875
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 4924.02096875
transcript.pyannote[672].end 4925.35409375
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 4931.14221875
transcript.pyannote[673].end 4934.85471875
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 4935.34409375
transcript.pyannote[674].end 4935.90096875
transcript.pyannote[675].speaker SPEAKER_25
transcript.pyannote[675].start 4936.39034375
transcript.pyannote[675].end 4943.73096875
transcript.pyannote[676].speaker SPEAKER_04
transcript.pyannote[676].start 4942.38096875
transcript.pyannote[676].end 4942.70159375
transcript.pyannote[677].speaker SPEAKER_25
transcript.pyannote[677].start 4944.18659375
transcript.pyannote[677].end 4954.42971875
transcript.pyannote[678].speaker SPEAKER_25
transcript.pyannote[678].start 4954.93596875
transcript.pyannote[678].end 4955.83034375
transcript.pyannote[679].speaker SPEAKER_25
transcript.pyannote[679].start 4956.10034375
transcript.pyannote[679].end 4956.58971875
transcript.pyannote[680].speaker SPEAKER_25
transcript.pyannote[680].start 4957.41659375
transcript.pyannote[680].end 4958.32784375
transcript.pyannote[681].speaker SPEAKER_25
transcript.pyannote[681].start 4959.18846875
transcript.pyannote[681].end 4959.93096875
transcript.pyannote[682].speaker SPEAKER_25
transcript.pyannote[682].start 4960.57221875
transcript.pyannote[682].end 4961.43284375
transcript.pyannote[683].speaker SPEAKER_25
transcript.pyannote[683].start 4961.73659375
transcript.pyannote[683].end 4964.35221875
transcript.pyannote[684].speaker SPEAKER_25
transcript.pyannote[684].start 4964.77409375
transcript.pyannote[684].end 4968.63846875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 4967.92971875
transcript.pyannote[685].end 4972.11471875
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 4973.14409375
transcript.pyannote[686].end 4976.41784375
transcript.pyannote[687].speaker SPEAKER_24
transcript.pyannote[687].start 4974.84846875
transcript.pyannote[687].end 4976.28284375
transcript.pyannote[688].speaker SPEAKER_24
transcript.pyannote[688].start 4976.41784375
transcript.pyannote[688].end 4976.45159375
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 4976.45159375
transcript.pyannote[689].end 4976.65409375
transcript.pyannote[690].speaker SPEAKER_24
transcript.pyannote[690].start 4976.65409375
transcript.pyannote[690].end 4977.63284375
transcript.pyannote[691].speaker SPEAKER_24
transcript.pyannote[691].start 4978.37534375
transcript.pyannote[691].end 4982.29034375
transcript.pyannote[692].speaker SPEAKER_04
transcript.pyannote[692].start 4979.55659375
transcript.pyannote[692].end 4985.63159375
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 4986.18846875
transcript.pyannote[693].end 4988.82096875
transcript.pyannote[694].speaker SPEAKER_04
transcript.pyannote[694].start 4989.42846875
transcript.pyannote[694].end 4990.96409375
transcript.pyannote[695].speaker SPEAKER_25
transcript.pyannote[695].start 4989.58034375
transcript.pyannote[695].end 4991.58846875
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 4991.36909375
transcript.pyannote[696].end 4994.03534375
transcript.pyannote[697].speaker SPEAKER_25
transcript.pyannote[697].start 4994.03534375
transcript.pyannote[697].end 4996.73534375
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 4996.73534375
transcript.pyannote[698].end 4999.84034375
transcript.pyannote[699].speaker SPEAKER_25
transcript.pyannote[699].start 4998.86159375
transcript.pyannote[699].end 5002.82721875
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 5001.46034375
transcript.pyannote[700].end 5001.56159375
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 5001.57846875
transcript.pyannote[701].end 5001.74721875
transcript.pyannote[702].speaker SPEAKER_04
transcript.pyannote[702].start 5002.82721875
transcript.pyannote[702].end 5003.85659375
transcript.pyannote[703].speaker SPEAKER_25
transcript.pyannote[703].start 5003.83971875
transcript.pyannote[703].end 5013.57659375
transcript.pyannote[704].speaker SPEAKER_25
transcript.pyannote[704].start 5013.77909375
transcript.pyannote[704].end 5013.81284375
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 5013.81284375
transcript.pyannote[705].end 5013.86346875
transcript.pyannote[706].speaker SPEAKER_25
transcript.pyannote[706].start 5013.86346875
transcript.pyannote[706].end 5013.96471875
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 5013.96471875
transcript.pyannote[707].end 5020.78221875
transcript.pyannote[708].speaker SPEAKER_25
transcript.pyannote[708].start 5014.18409375
transcript.pyannote[708].end 5014.84221875
transcript.pyannote[709].speaker SPEAKER_25
transcript.pyannote[709].start 5016.34409375
transcript.pyannote[709].end 5016.41159375
transcript.pyannote[710].speaker SPEAKER_24
transcript.pyannote[710].start 5016.41159375
transcript.pyannote[710].end 5016.58034375
transcript.pyannote[711].speaker SPEAKER_25
transcript.pyannote[711].start 5016.58034375
transcript.pyannote[711].end 5016.59721875
transcript.pyannote[712].speaker SPEAKER_24
transcript.pyannote[712].start 5016.59721875
transcript.pyannote[712].end 5023.02659375
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 5022.48659375
transcript.pyannote[713].end 5022.92534375
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5023.02659375
transcript.pyannote[714].end 5025.18659375
transcript.pyannote[715].speaker SPEAKER_24
transcript.pyannote[715].start 5024.86596875
transcript.pyannote[715].end 5027.02596875
transcript.pyannote[716].speaker SPEAKER_25
transcript.pyannote[716].start 5027.02596875
transcript.pyannote[716].end 5027.81909375
transcript.pyannote[717].speaker SPEAKER_24
transcript.pyannote[717].start 5027.81909375
transcript.pyannote[717].end 5028.49409375
transcript.pyannote[718].speaker SPEAKER_04
transcript.pyannote[718].start 5027.81909375
transcript.pyannote[718].end 5031.63284375
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 5032.62846875
transcript.pyannote[719].end 5034.58596875
transcript.pyannote[720].speaker SPEAKER_04
transcript.pyannote[720].start 5035.59846875
transcript.pyannote[720].end 5036.61096875
transcript.pyannote[721].speaker SPEAKER_25
transcript.pyannote[721].start 5037.58971875
transcript.pyannote[721].end 5038.85534375
transcript.pyannote[722].speaker SPEAKER_25
transcript.pyannote[722].start 5038.92284375
transcript.pyannote[722].end 5039.51346875
transcript.pyannote[723].speaker SPEAKER_25
transcript.pyannote[723].start 5039.74971875
transcript.pyannote[723].end 5040.89721875
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 5039.93534375
transcript.pyannote[724].end 5060.26971875
transcript.pyannote[725].speaker SPEAKER_24
transcript.pyannote[725].start 5044.47471875
transcript.pyannote[725].end 5050.63409375
transcript.pyannote[726].speaker SPEAKER_24
transcript.pyannote[726].start 5051.73096875
transcript.pyannote[726].end 5052.72659375
transcript.pyannote[727].speaker SPEAKER_24
transcript.pyannote[727].start 5057.35034375
transcript.pyannote[727].end 5057.60346875
transcript.pyannote[728].speaker SPEAKER_25
transcript.pyannote[728].start 5057.60346875
transcript.pyannote[728].end 5058.10971875
transcript.pyannote[729].speaker SPEAKER_25
transcript.pyannote[729].start 5059.61159375
transcript.pyannote[729].end 5064.58971875
transcript.pyannote[730].speaker SPEAKER_04
transcript.pyannote[730].start 5063.84721875
transcript.pyannote[730].end 5079.54096875
transcript.pyannote[731].speaker SPEAKER_25
transcript.pyannote[731].start 5067.28971875
transcript.pyannote[731].end 5067.72846875
transcript.pyannote[732].speaker SPEAKER_24
transcript.pyannote[732].start 5067.72846875
transcript.pyannote[732].end 5067.81284375
transcript.pyannote[733].speaker SPEAKER_25
transcript.pyannote[733].start 5067.81284375
transcript.pyannote[733].end 5067.96471875
transcript.pyannote[734].speaker SPEAKER_24
transcript.pyannote[734].start 5067.96471875
transcript.pyannote[734].end 5072.74034375
transcript.pyannote[735].speaker SPEAKER_24
transcript.pyannote[735].start 5073.58409375
transcript.pyannote[735].end 5082.54471875
transcript.pyannote[736].speaker SPEAKER_05
transcript.pyannote[736].start 5079.54096875
transcript.pyannote[736].end 5079.60846875
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 5079.60846875
transcript.pyannote[737].end 5080.04721875
transcript.pyannote[738].speaker SPEAKER_05
transcript.pyannote[738].start 5080.04721875
transcript.pyannote[738].end 5080.11471875
transcript.pyannote[739].speaker SPEAKER_04
transcript.pyannote[739].start 5080.11471875
transcript.pyannote[739].end 5080.19909375
transcript.pyannote[740].speaker SPEAKER_05
transcript.pyannote[740].start 5080.19909375
transcript.pyannote[740].end 5080.23284375
transcript.pyannote[741].speaker SPEAKER_04
transcript.pyannote[741].start 5080.23284375
transcript.pyannote[741].end 5080.28346875
transcript.pyannote[742].speaker SPEAKER_05
transcript.pyannote[742].start 5080.28346875
transcript.pyannote[742].end 5080.31721875
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 5080.31721875
transcript.pyannote[743].end 5080.97534375
transcript.pyannote[744].speaker SPEAKER_05
transcript.pyannote[744].start 5080.97534375
transcript.pyannote[744].end 5081.02596875
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 5081.02596875
transcript.pyannote[745].end 5088.60284375
transcript.pyannote[746].speaker SPEAKER_05
transcript.pyannote[746].start 5082.54471875
transcript.pyannote[746].end 5082.78096875
transcript.pyannote[747].speaker SPEAKER_24
transcript.pyannote[747].start 5082.78096875
transcript.pyannote[747].end 5082.81471875
transcript.pyannote[748].speaker SPEAKER_05
transcript.pyannote[748].start 5082.81471875
transcript.pyannote[748].end 5082.83159375
transcript.pyannote[749].speaker SPEAKER_05
transcript.pyannote[749].start 5084.36721875
transcript.pyannote[749].end 5089.12596875
transcript.pyannote[750].speaker SPEAKER_05
transcript.pyannote[750].start 5090.10471875
transcript.pyannote[750].end 5092.92284375
transcript.pyannote[751].speaker SPEAKER_14
transcript.pyannote[751].start 5102.06909375
transcript.pyannote[751].end 5104.71846875
transcript.pyannote[752].speaker SPEAKER_14
transcript.pyannote[752].start 5105.29221875
transcript.pyannote[752].end 5106.11909375
transcript.pyannote[753].speaker SPEAKER_25
transcript.pyannote[753].start 5113.15596875
transcript.pyannote[753].end 5113.56096875
transcript.pyannote[754].speaker SPEAKER_14
transcript.pyannote[754].start 5114.10096875
transcript.pyannote[754].end 5114.57346875
transcript.pyannote[755].speaker SPEAKER_14
transcript.pyannote[755].start 5115.34971875
transcript.pyannote[755].end 5118.25221875
transcript.pyannote[756].speaker SPEAKER_14
transcript.pyannote[756].start 5118.45471875
transcript.pyannote[756].end 5135.27909375
transcript.pyannote[757].speaker SPEAKER_14
transcript.pyannote[757].start 5135.86971875
transcript.pyannote[757].end 5206.60971875
transcript.pyannote[758].speaker SPEAKER_14
transcript.pyannote[758].start 5207.57159375
transcript.pyannote[758].end 5207.60534375
transcript.pyannote[759].speaker SPEAKER_25
transcript.pyannote[759].start 5207.60534375
transcript.pyannote[759].end 5209.36034375
transcript.pyannote[760].speaker SPEAKER_14
transcript.pyannote[760].start 5207.63909375
transcript.pyannote[760].end 5207.82471875
transcript.pyannote[761].speaker SPEAKER_18
transcript.pyannote[761].start 5207.82471875
transcript.pyannote[761].end 5208.01034375
transcript.pyannote[762].speaker SPEAKER_14
transcript.pyannote[762].start 5208.01034375
transcript.pyannote[762].end 5208.26346875
transcript.pyannote[763].speaker SPEAKER_18
transcript.pyannote[763].start 5208.26346875
transcript.pyannote[763].end 5208.29721875
transcript.pyannote[764].speaker SPEAKER_14
transcript.pyannote[764].start 5208.29721875
transcript.pyannote[764].end 5208.34784375
transcript.pyannote[765].speaker SPEAKER_14
transcript.pyannote[765].start 5208.71909375
transcript.pyannote[765].end 5210.37284375
transcript.pyannote[766].speaker SPEAKER_25
transcript.pyannote[766].start 5210.91284375
transcript.pyannote[766].end 5212.61721875
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 5212.39784375
transcript.pyannote[767].end 5215.73909375
transcript.pyannote[768].speaker SPEAKER_25
transcript.pyannote[768].start 5213.51159375
transcript.pyannote[768].end 5213.89971875
transcript.pyannote[769].speaker SPEAKER_14
transcript.pyannote[769].start 5215.84034375
transcript.pyannote[769].end 5232.52971875
transcript.pyannote[770].speaker SPEAKER_25
transcript.pyannote[770].start 5232.85034375
transcript.pyannote[770].end 5235.78659375
transcript.pyannote[771].speaker SPEAKER_25
transcript.pyannote[771].start 5236.12409375
transcript.pyannote[771].end 5242.30034375
transcript.pyannote[772].speaker SPEAKER_14
transcript.pyannote[772].start 5237.71034375
transcript.pyannote[772].end 5238.08159375
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 5241.77721875
transcript.pyannote[773].end 5247.19409375
transcript.pyannote[774].speaker SPEAKER_25
transcript.pyannote[774].start 5243.61659375
transcript.pyannote[774].end 5244.02159375
transcript.pyannote[775].speaker SPEAKER_25
transcript.pyannote[775].start 5244.71346875
transcript.pyannote[775].end 5278.93596875
transcript.pyannote[776].speaker SPEAKER_00
transcript.pyannote[776].start 5247.53159375
transcript.pyannote[776].end 5247.54846875
transcript.pyannote[777].speaker SPEAKER_24
transcript.pyannote[777].start 5247.54846875
transcript.pyannote[777].end 5247.56534375
transcript.pyannote[778].speaker SPEAKER_18
transcript.pyannote[778].start 5247.56534375
transcript.pyannote[778].end 5247.63284375
transcript.pyannote[779].speaker SPEAKER_14
transcript.pyannote[779].start 5247.63284375
transcript.pyannote[779].end 5247.86909375
transcript.pyannote[780].speaker SPEAKER_24
transcript.pyannote[780].start 5247.86909375
transcript.pyannote[780].end 5247.88596875
transcript.pyannote[781].speaker SPEAKER_14
transcript.pyannote[781].start 5253.38721875
transcript.pyannote[781].end 5256.50909375
transcript.pyannote[782].speaker SPEAKER_14
transcript.pyannote[782].start 5277.26534375
transcript.pyannote[782].end 5277.63659375
transcript.pyannote[783].speaker SPEAKER_14
transcript.pyannote[783].start 5278.39596875
transcript.pyannote[783].end 5307.52221875
transcript.pyannote[784].speaker SPEAKER_25
transcript.pyannote[784].start 5280.33659375
transcript.pyannote[784].end 5280.75846875
transcript.pyannote[785].speaker SPEAKER_25
transcript.pyannote[785].start 5283.05346875
transcript.pyannote[785].end 5283.57659375
transcript.pyannote[786].speaker SPEAKER_00
transcript.pyannote[786].start 5287.50846875
transcript.pyannote[786].end 5287.52534375
transcript.pyannote[787].speaker SPEAKER_18
transcript.pyannote[787].start 5287.52534375
transcript.pyannote[787].end 5287.81221875
transcript.pyannote[788].speaker SPEAKER_18
transcript.pyannote[788].start 5287.91346875
transcript.pyannote[788].end 5288.01471875
transcript.pyannote[789].speaker SPEAKER_00
transcript.pyannote[789].start 5291.54159375
transcript.pyannote[789].end 5291.67659375
transcript.pyannote[790].speaker SPEAKER_18
transcript.pyannote[790].start 5291.67659375
transcript.pyannote[790].end 5291.84534375
transcript.pyannote[791].speaker SPEAKER_00
transcript.pyannote[791].start 5291.84534375
transcript.pyannote[791].end 5291.92971875
transcript.pyannote[792].speaker SPEAKER_18
transcript.pyannote[792].start 5293.66784375
transcript.pyannote[792].end 5293.97159375
transcript.pyannote[793].speaker SPEAKER_00
transcript.pyannote[793].start 5293.97159375
transcript.pyannote[793].end 5294.15721875
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 5307.18471875
transcript.pyannote[794].end 5307.79221875
transcript.pyannote[795].speaker SPEAKER_14
transcript.pyannote[795].start 5307.72471875
transcript.pyannote[795].end 5332.32846875
transcript.pyannote[796].speaker SPEAKER_18
transcript.pyannote[796].start 5308.78784375
transcript.pyannote[796].end 5309.22659375
transcript.pyannote[797].speaker SPEAKER_18
transcript.pyannote[797].start 5317.32659375
transcript.pyannote[797].end 5317.66409375
transcript.pyannote[798].speaker SPEAKER_25
transcript.pyannote[798].start 5332.14284375
transcript.pyannote[798].end 5339.23034375
transcript.pyannote[799].speaker SPEAKER_24
transcript.pyannote[799].start 5332.32846875
transcript.pyannote[799].end 5332.34534375
transcript.pyannote[800].speaker SPEAKER_14
transcript.pyannote[800].start 5332.34534375
transcript.pyannote[800].end 5332.36221875
transcript.pyannote[801].speaker SPEAKER_24
transcript.pyannote[801].start 5332.36221875
transcript.pyannote[801].end 5334.75846875
transcript.pyannote[802].speaker SPEAKER_14
transcript.pyannote[802].start 5334.75846875
transcript.pyannote[802].end 5334.77534375
transcript.pyannote[803].speaker SPEAKER_14
transcript.pyannote[803].start 5337.64409375
transcript.pyannote[803].end 5340.46221875
transcript.pyannote[804].speaker SPEAKER_25
transcript.pyannote[804].start 5340.46221875
transcript.pyannote[804].end 5345.82846875
transcript.pyannote[805].speaker SPEAKER_14
transcript.pyannote[805].start 5345.23784375
transcript.pyannote[805].end 5489.02971875
transcript.pyannote[806].speaker SPEAKER_17
transcript.pyannote[806].start 5358.04596875
transcript.pyannote[806].end 5358.23159375
transcript.pyannote[807].speaker SPEAKER_00
transcript.pyannote[807].start 5419.77471875
transcript.pyannote[807].end 5419.90971875
transcript.pyannote[808].speaker SPEAKER_17
transcript.pyannote[808].start 5419.90971875
transcript.pyannote[808].end 5419.97721875
transcript.pyannote[809].speaker SPEAKER_00
transcript.pyannote[809].start 5419.97721875
transcript.pyannote[809].end 5420.07846875
transcript.pyannote[810].speaker SPEAKER_25
transcript.pyannote[810].start 5490.24471875
transcript.pyannote[810].end 5496.48846875
transcript.pyannote[811].speaker SPEAKER_25
transcript.pyannote[811].start 5496.70784375
transcript.pyannote[811].end 5500.52159375
transcript.pyannote[812].speaker SPEAKER_25
transcript.pyannote[812].start 5500.65659375
transcript.pyannote[812].end 5514.49409375
transcript.pyannote[813].speaker SPEAKER_14
transcript.pyannote[813].start 5513.81909375
transcript.pyannote[813].end 5515.23659375
transcript.pyannote[814].speaker SPEAKER_14
transcript.pyannote[814].start 5515.74284375
transcript.pyannote[814].end 5518.25721875
transcript.pyannote[815].speaker SPEAKER_14
transcript.pyannote[815].start 5518.66221875
transcript.pyannote[815].end 5531.67284375
transcript.pyannote[816].speaker SPEAKER_14
transcript.pyannote[816].start 5531.97659375
transcript.pyannote[816].end 5533.46159375
transcript.pyannote[817].speaker SPEAKER_25
transcript.pyannote[817].start 5533.19159375
transcript.pyannote[817].end 5534.47409375
transcript.pyannote[818].speaker SPEAKER_14
transcript.pyannote[818].start 5534.01846875
transcript.pyannote[818].end 5541.29159375
transcript.pyannote[819].speaker SPEAKER_25
transcript.pyannote[819].start 5541.56159375
transcript.pyannote[819].end 5554.77471875
transcript.pyannote[820].speaker SPEAKER_14
transcript.pyannote[820].start 5550.60659375
transcript.pyannote[820].end 5552.27721875
transcript.pyannote[821].speaker SPEAKER_14
transcript.pyannote[821].start 5552.56409375
transcript.pyannote[821].end 5553.08721875
transcript.pyannote[822].speaker SPEAKER_14
transcript.pyannote[822].start 5554.08284375
transcript.pyannote[822].end 5557.54221875
transcript.pyannote[823].speaker SPEAKER_25
transcript.pyannote[823].start 5554.79159375
transcript.pyannote[823].end 5554.80846875
transcript.pyannote[824].speaker SPEAKER_25
transcript.pyannote[824].start 5554.87596875
transcript.pyannote[824].end 5554.99409375
transcript.pyannote[825].speaker SPEAKER_14
transcript.pyannote[825].start 5557.86284375
transcript.pyannote[825].end 5576.10471875
transcript.pyannote[826].speaker SPEAKER_14
transcript.pyannote[826].start 5576.23971875
transcript.pyannote[826].end 5577.18471875
transcript.pyannote[827].speaker SPEAKER_14
transcript.pyannote[827].start 5577.28596875
transcript.pyannote[827].end 5607.98159375
transcript.pyannote[828].speaker SPEAKER_25
transcript.pyannote[828].start 5608.36971875
transcript.pyannote[828].end 5620.24971875
transcript.pyannote[829].speaker SPEAKER_25
transcript.pyannote[829].start 5620.67159375
transcript.pyannote[829].end 5624.38409375
transcript.pyannote[830].speaker SPEAKER_14
transcript.pyannote[830].start 5622.30846875
transcript.pyannote[830].end 5622.52784375
transcript.pyannote[831].speaker SPEAKER_14
transcript.pyannote[831].start 5623.55721875
transcript.pyannote[831].end 5626.42596875
transcript.pyannote[832].speaker SPEAKER_25
transcript.pyannote[832].start 5626.42596875
transcript.pyannote[832].end 5643.31784375
transcript.pyannote[833].speaker SPEAKER_25
transcript.pyannote[833].start 5643.53721875
transcript.pyannote[833].end 5643.94221875
transcript.pyannote[834].speaker SPEAKER_14
transcript.pyannote[834].start 5643.94221875
transcript.pyannote[834].end 5644.34721875
transcript.pyannote[835].speaker SPEAKER_14
transcript.pyannote[835].start 5644.75221875
transcript.pyannote[835].end 5645.51159375
transcript.pyannote[836].speaker SPEAKER_14
transcript.pyannote[836].start 5645.91659375
transcript.pyannote[836].end 5648.12721875
transcript.pyannote[837].speaker SPEAKER_14
transcript.pyannote[837].start 5648.43096875
transcript.pyannote[837].end 5666.67284375
transcript.pyannote[838].speaker SPEAKER_14
transcript.pyannote[838].start 5667.06096875
transcript.pyannote[838].end 5686.28159375
transcript.pyannote[839].speaker SPEAKER_25
transcript.pyannote[839].start 5683.19346875
transcript.pyannote[839].end 5683.22721875
transcript.pyannote[840].speaker SPEAKER_18
transcript.pyannote[840].start 5683.22721875
transcript.pyannote[840].end 5683.54784375
transcript.pyannote[841].speaker SPEAKER_14
transcript.pyannote[841].start 5686.92284375
transcript.pyannote[841].end 5687.32784375
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 5688.01971875
transcript.pyannote[842].end 5688.17159375
transcript.pyannote[843].speaker SPEAKER_14
transcript.pyannote[843].start 5688.17159375
transcript.pyannote[843].end 5688.27284375
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 5688.27284375
transcript.pyannote[844].end 5688.44159375
transcript.pyannote[845].speaker SPEAKER_14
transcript.pyannote[845].start 5688.57659375
transcript.pyannote[845].end 5692.54221875
transcript.pyannote[846].speaker SPEAKER_25
transcript.pyannote[846].start 5691.95159375
transcript.pyannote[846].end 5691.98534375
transcript.pyannote[847].speaker SPEAKER_05
transcript.pyannote[847].start 5691.98534375
transcript.pyannote[847].end 5692.01909375
transcript.pyannote[848].speaker SPEAKER_25
transcript.pyannote[848].start 5692.01909375
transcript.pyannote[848].end 5693.36909375
transcript.pyannote[849].speaker SPEAKER_05
transcript.pyannote[849].start 5692.54221875
transcript.pyannote[849].end 5692.55909375
transcript.pyannote[850].speaker SPEAKER_05
transcript.pyannote[850].start 5693.33534375
transcript.pyannote[850].end 5699.96721875
transcript.pyannote[851].speaker SPEAKER_14
transcript.pyannote[851].start 5693.36909375
transcript.pyannote[851].end 5693.67284375
transcript.pyannote[852].speaker SPEAKER_15
transcript.pyannote[852].start 5707.27409375
transcript.pyannote[852].end 5709.14721875
transcript.pyannote[853].speaker SPEAKER_05
transcript.pyannote[853].start 5710.07534375
transcript.pyannote[853].end 5710.71659375
transcript.pyannote[854].speaker SPEAKER_25
transcript.pyannote[854].start 5716.55534375
transcript.pyannote[854].end 5717.01096875
transcript.pyannote[855].speaker SPEAKER_15
transcript.pyannote[855].start 5717.09534375
transcript.pyannote[855].end 5717.92221875
transcript.pyannote[856].speaker SPEAKER_15
transcript.pyannote[856].start 5717.97284375
transcript.pyannote[856].end 5730.98346875
transcript.pyannote[857].speaker SPEAKER_25
transcript.pyannote[857].start 5732.70471875
transcript.pyannote[857].end 5733.46409375
transcript.pyannote[858].speaker SPEAKER_25
transcript.pyannote[858].start 5733.61596875
transcript.pyannote[858].end 5733.66659375
transcript.pyannote[859].speaker SPEAKER_15
transcript.pyannote[859].start 5733.66659375
transcript.pyannote[859].end 5734.07159375
transcript.pyannote[860].speaker SPEAKER_25
transcript.pyannote[860].start 5733.85221875
transcript.pyannote[860].end 5734.69596875
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 5734.32471875
transcript.pyannote[861].end 5737.46346875
transcript.pyannote[862].speaker SPEAKER_25
transcript.pyannote[862].start 5737.78409375
transcript.pyannote[862].end 5740.65284375
transcript.pyannote[863].speaker SPEAKER_15
transcript.pyannote[863].start 5740.56846875
transcript.pyannote[863].end 5756.59971875
transcript.pyannote[864].speaker SPEAKER_15
transcript.pyannote[864].start 5756.76846875
transcript.pyannote[864].end 5779.21221875
transcript.pyannote[865].speaker SPEAKER_25
transcript.pyannote[865].start 5779.98846875
transcript.pyannote[865].end 5785.48971875
transcript.pyannote[866].speaker SPEAKER_15
transcript.pyannote[866].start 5787.09284375
transcript.pyannote[866].end 5787.98721875
transcript.pyannote[867].speaker SPEAKER_25
transcript.pyannote[867].start 5788.44284375
transcript.pyannote[867].end 5789.96159375
transcript.pyannote[868].speaker SPEAKER_25
transcript.pyannote[868].start 5791.96971875
transcript.pyannote[868].end 5796.39096875
transcript.pyannote[869].speaker SPEAKER_15
transcript.pyannote[869].start 5797.45409375
transcript.pyannote[869].end 5798.97284375
transcript.pyannote[870].speaker SPEAKER_15
transcript.pyannote[870].start 5799.52971875
transcript.pyannote[870].end 5822.19284375
transcript.pyannote[871].speaker SPEAKER_25
transcript.pyannote[871].start 5822.19284375
transcript.pyannote[871].end 5829.56721875
transcript.pyannote[872].speaker SPEAKER_15
transcript.pyannote[872].start 5826.74909375
transcript.pyannote[872].end 5829.28034375
transcript.pyannote[873].speaker SPEAKER_15
transcript.pyannote[873].start 5829.56721875
transcript.pyannote[873].end 5842.39221875
transcript.pyannote[874].speaker SPEAKER_25
transcript.pyannote[874].start 5829.58409375
transcript.pyannote[874].end 5829.60096875
transcript.pyannote[875].speaker SPEAKER_25
transcript.pyannote[875].start 5842.39221875
transcript.pyannote[875].end 5857.81596875
transcript.pyannote[876].speaker SPEAKER_25
transcript.pyannote[876].start 5858.20409375
transcript.pyannote[876].end 5862.13596875
transcript.pyannote[877].speaker SPEAKER_25
transcript.pyannote[877].start 5862.28784375
transcript.pyannote[877].end 5863.50284375
transcript.pyannote[878].speaker SPEAKER_15
transcript.pyannote[878].start 5862.81096875
transcript.pyannote[878].end 5886.01409375
transcript.pyannote[879].speaker SPEAKER_15
transcript.pyannote[879].start 5886.62159375
transcript.pyannote[879].end 5903.42909375
transcript.pyannote[880].speaker SPEAKER_15
transcript.pyannote[880].start 5904.07034375
transcript.pyannote[880].end 5906.17971875
transcript.pyannote[881].speaker SPEAKER_15
transcript.pyannote[881].start 5906.60159375
transcript.pyannote[881].end 5931.17159375
transcript.pyannote[882].speaker SPEAKER_15
transcript.pyannote[882].start 5931.54284375
transcript.pyannote[882].end 5934.02346875
transcript.pyannote[883].speaker SPEAKER_25
transcript.pyannote[883].start 5932.94346875
transcript.pyannote[883].end 5958.72846875
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 5946.39284375
transcript.pyannote[884].end 5946.83159375
transcript.pyannote[885].speaker SPEAKER_15
transcript.pyannote[885].start 5959.04909375
transcript.pyannote[885].end 5962.55909375
transcript.pyannote[886].speaker SPEAKER_25
transcript.pyannote[886].start 5962.55909375
transcript.pyannote[886].end 5964.04409375
transcript.pyannote[887].speaker SPEAKER_15
transcript.pyannote[887].start 5963.47034375
transcript.pyannote[887].end 5966.64284375
transcript.pyannote[888].speaker SPEAKER_25
transcript.pyannote[888].start 5965.02284375
transcript.pyannote[888].end 5973.37596875
transcript.pyannote[889].speaker SPEAKER_15
transcript.pyannote[889].start 5967.08159375
transcript.pyannote[889].end 5967.26721875
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 5972.73471875
transcript.pyannote[890].end 5978.13471875
transcript.pyannote[891].speaker SPEAKER_25
transcript.pyannote[891].start 5977.71284375
transcript.pyannote[891].end 5988.20909375
transcript.pyannote[892].speaker SPEAKER_25
transcript.pyannote[892].start 5988.25971875
transcript.pyannote[892].end 5990.62221875
transcript.pyannote[893].speaker SPEAKER_15
transcript.pyannote[893].start 5989.59284375
transcript.pyannote[893].end 6012.44159375
transcript.pyannote[894].speaker SPEAKER_25
transcript.pyannote[894].start 5990.95971875
transcript.pyannote[894].end 5992.07346875
transcript.pyannote[895].speaker SPEAKER_25
transcript.pyannote[895].start 5993.23784375
transcript.pyannote[895].end 5993.60909375
transcript.pyannote[896].speaker SPEAKER_25
transcript.pyannote[896].start 6013.58909375
transcript.pyannote[896].end 6013.75784375
transcript.pyannote[897].speaker SPEAKER_25
transcript.pyannote[897].start 6014.55096875
transcript.pyannote[897].end 6024.06846875
transcript.pyannote[898].speaker SPEAKER_15
transcript.pyannote[898].start 6019.59659375
transcript.pyannote[898].end 6019.90034375
transcript.pyannote[899].speaker SPEAKER_25
transcript.pyannote[899].start 6024.25409375
transcript.pyannote[899].end 6025.78971875
transcript.pyannote[900].speaker SPEAKER_15
transcript.pyannote[900].start 6024.81096875
transcript.pyannote[900].end 6026.32971875
transcript.pyannote[901].speaker SPEAKER_25
transcript.pyannote[901].start 6026.44784375
transcript.pyannote[901].end 6026.92034375
transcript.pyannote[902].speaker SPEAKER_15
transcript.pyannote[902].start 6026.88659375
transcript.pyannote[902].end 6034.09221875
transcript.pyannote[903].speaker SPEAKER_25
transcript.pyannote[903].start 6034.09221875
transcript.pyannote[903].end 6053.83596875
transcript.pyannote[904].speaker SPEAKER_15
transcript.pyannote[904].start 6034.32846875
transcript.pyannote[904].end 6036.65721875
transcript.pyannote[905].speaker SPEAKER_18
transcript.pyannote[905].start 6038.98596875
transcript.pyannote[905].end 6039.08721875
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 6039.08721875
transcript.pyannote[906].end 6039.55971875
transcript.pyannote[907].speaker SPEAKER_17
transcript.pyannote[907].start 6046.15784375
transcript.pyannote[907].end 6046.17471875
transcript.pyannote[908].speaker SPEAKER_15
transcript.pyannote[908].start 6046.17471875
transcript.pyannote[908].end 6048.21659375
transcript.pyannote[909].speaker SPEAKER_15
transcript.pyannote[909].start 6048.63846875
transcript.pyannote[909].end 6050.19096875
transcript.pyannote[910].speaker SPEAKER_15
transcript.pyannote[910].start 6053.88659375
transcript.pyannote[910].end 6094.55534375
transcript.pyannote[911].speaker SPEAKER_25
transcript.pyannote[911].start 6093.98159375
transcript.pyannote[911].end 6098.31846875
transcript.pyannote[912].speaker SPEAKER_15
transcript.pyannote[912].start 6097.39034375
transcript.pyannote[912].end 6097.45784375
transcript.pyannote[913].speaker SPEAKER_15
transcript.pyannote[913].start 6097.98096875
transcript.pyannote[913].end 6100.05659375
transcript.pyannote[914].speaker SPEAKER_25
transcript.pyannote[914].start 6099.02721875
transcript.pyannote[914].end 6107.80221875
transcript.pyannote[915].speaker SPEAKER_15
transcript.pyannote[915].start 6107.98784375
transcript.pyannote[915].end 6108.00471875
transcript.pyannote[916].speaker SPEAKER_05
transcript.pyannote[916].start 6108.00471875
transcript.pyannote[916].end 6109.74284375
transcript.pyannote[917].speaker SPEAKER_05
transcript.pyannote[917].start 6111.19409375
transcript.pyannote[917].end 6117.23534375
transcript.pyannote[918].speaker SPEAKER_05
transcript.pyannote[918].start 6117.84284375
transcript.pyannote[918].end 6121.25159375
transcript.pyannote[919].speaker SPEAKER_07
transcript.pyannote[919].start 6131.54534375
transcript.pyannote[919].end 6133.08096875
transcript.pyannote[920].speaker SPEAKER_07
transcript.pyannote[920].start 6133.16534375
transcript.pyannote[920].end 6134.00909375
transcript.pyannote[921].speaker SPEAKER_07
transcript.pyannote[921].start 6134.49846875
transcript.pyannote[921].end 6137.08034375
transcript.pyannote[922].speaker SPEAKER_25
transcript.pyannote[922].start 6143.83034375
transcript.pyannote[922].end 6144.28596875
transcript.pyannote[923].speaker SPEAKER_07
transcript.pyannote[923].start 6144.58971875
transcript.pyannote[923].end 6165.48096875
transcript.pyannote[924].speaker SPEAKER_07
transcript.pyannote[924].start 6165.59909375
transcript.pyannote[924].end 6166.03784375
transcript.pyannote[925].speaker SPEAKER_07
transcript.pyannote[925].start 6166.13909375
transcript.pyannote[925].end 6166.56096875
transcript.pyannote[926].speaker SPEAKER_07
transcript.pyannote[926].start 6167.26971875
transcript.pyannote[926].end 6175.16721875
transcript.pyannote[927].speaker SPEAKER_25
transcript.pyannote[927].start 6175.26846875
transcript.pyannote[927].end 6178.82909375
transcript.pyannote[928].speaker SPEAKER_25
transcript.pyannote[928].start 6178.84596875
transcript.pyannote[928].end 6178.87971875
transcript.pyannote[929].speaker SPEAKER_07
transcript.pyannote[929].start 6178.87971875
transcript.pyannote[929].end 6180.24659375
transcript.pyannote[930].speaker SPEAKER_25
transcript.pyannote[930].start 6179.18346875
transcript.pyannote[930].end 6181.79909375
transcript.pyannote[931].speaker SPEAKER_07
transcript.pyannote[931].start 6181.59659375
transcript.pyannote[931].end 6181.61346875
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 6181.61346875
transcript.pyannote[932].end 6181.91721875
transcript.pyannote[933].speaker SPEAKER_25
transcript.pyannote[933].start 6181.90034375
transcript.pyannote[933].end 6187.09784375
transcript.pyannote[934].speaker SPEAKER_25
transcript.pyannote[934].start 6187.57034375
transcript.pyannote[934].end 6191.38409375
transcript.pyannote[935].speaker SPEAKER_21
transcript.pyannote[935].start 6191.23221875
transcript.pyannote[935].end 6191.68784375
transcript.pyannote[936].speaker SPEAKER_25
transcript.pyannote[936].start 6191.56971875
transcript.pyannote[936].end 6198.62346875
transcript.pyannote[937].speaker SPEAKER_25
transcript.pyannote[937].start 6198.89346875
transcript.pyannote[937].end 6206.52096875
transcript.pyannote[938].speaker SPEAKER_17
transcript.pyannote[938].start 6206.38596875
transcript.pyannote[938].end 6206.63909375
transcript.pyannote[939].speaker SPEAKER_25
transcript.pyannote[939].start 6206.63909375
transcript.pyannote[939].end 6213.86159375
transcript.pyannote[940].speaker SPEAKER_17
transcript.pyannote[940].start 6206.65596875
transcript.pyannote[940].end 6206.77409375
transcript.pyannote[941].speaker SPEAKER_07
transcript.pyannote[941].start 6206.77409375
transcript.pyannote[941].end 6206.79096875
transcript.pyannote[942].speaker SPEAKER_07
transcript.pyannote[942].start 6214.35096875
transcript.pyannote[942].end 6218.28284375
transcript.pyannote[943].speaker SPEAKER_25
transcript.pyannote[943].start 6215.65034375
transcript.pyannote[943].end 6216.03846875
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 6218.45159375
transcript.pyannote[944].end 6219.31221875
transcript.pyannote[945].speaker SPEAKER_07
transcript.pyannote[945].start 6219.49784375
transcript.pyannote[945].end 6220.12221875
transcript.pyannote[946].speaker SPEAKER_07
transcript.pyannote[946].start 6221.43846875
transcript.pyannote[946].end 6263.17034375
transcript.pyannote[947].speaker SPEAKER_14
transcript.pyannote[947].start 6227.88471875
transcript.pyannote[947].end 6228.32346875
transcript.pyannote[948].speaker SPEAKER_00
transcript.pyannote[948].start 6238.21221875
transcript.pyannote[948].end 6238.22909375
transcript.pyannote[949].speaker SPEAKER_18
transcript.pyannote[949].start 6238.22909375
transcript.pyannote[949].end 6238.70159375
transcript.pyannote[950].speaker SPEAKER_25
transcript.pyannote[950].start 6263.32221875
transcript.pyannote[950].end 6268.18221875
transcript.pyannote[951].speaker SPEAKER_25
transcript.pyannote[951].start 6268.51971875
transcript.pyannote[951].end 6276.51846875
transcript.pyannote[952].speaker SPEAKER_00
transcript.pyannote[952].start 6273.51471875
transcript.pyannote[952].end 6273.53159375
transcript.pyannote[953].speaker SPEAKER_02
transcript.pyannote[953].start 6273.53159375
transcript.pyannote[953].end 6274.30784375
transcript.pyannote[954].speaker SPEAKER_25
transcript.pyannote[954].start 6276.80534375
transcript.pyannote[954].end 6293.42721875
transcript.pyannote[955].speaker SPEAKER_16
transcript.pyannote[955].start 6281.73284375
transcript.pyannote[955].end 6281.85096875
transcript.pyannote[956].speaker SPEAKER_16
transcript.pyannote[956].start 6281.86784375
transcript.pyannote[956].end 6282.03659375
transcript.pyannote[957].speaker SPEAKER_16
transcript.pyannote[957].start 6285.81659375
transcript.pyannote[957].end 6286.00221875
transcript.pyannote[958].speaker SPEAKER_18
transcript.pyannote[958].start 6293.30909375
transcript.pyannote[958].end 6293.73096875
transcript.pyannote[959].speaker SPEAKER_25
transcript.pyannote[959].start 6293.61284375
transcript.pyannote[959].end 6296.61659375
transcript.pyannote[960].speaker SPEAKER_18
transcript.pyannote[960].start 6296.66721875
transcript.pyannote[960].end 6297.25784375
transcript.pyannote[961].speaker SPEAKER_25
transcript.pyannote[961].start 6296.73471875
transcript.pyannote[961].end 6296.78534375
transcript.pyannote[962].speaker SPEAKER_25
transcript.pyannote[962].start 6296.93721875
transcript.pyannote[962].end 6301.57784375
transcript.pyannote[963].speaker SPEAKER_25
transcript.pyannote[963].start 6301.78034375
transcript.pyannote[963].end 6306.47159375
transcript.pyannote[964].speaker SPEAKER_07
transcript.pyannote[964].start 6305.20596875
transcript.pyannote[964].end 6307.58534375
transcript.pyannote[965].speaker SPEAKER_25
transcript.pyannote[965].start 6307.09596875
transcript.pyannote[965].end 6309.47534375
transcript.pyannote[966].speaker SPEAKER_25
transcript.pyannote[966].start 6309.64409375
transcript.pyannote[966].end 6311.04471875
transcript.pyannote[967].speaker SPEAKER_07
transcript.pyannote[967].start 6309.76221875
transcript.pyannote[967].end 6310.08284375
transcript.pyannote[968].speaker SPEAKER_07
transcript.pyannote[968].start 6310.72409375
transcript.pyannote[968].end 6344.44034375
transcript.pyannote[969].speaker SPEAKER_25
transcript.pyannote[969].start 6315.26346875
transcript.pyannote[969].end 6315.76971875
transcript.pyannote[970].speaker SPEAKER_25
transcript.pyannote[970].start 6319.43159375
transcript.pyannote[970].end 6319.44846875
transcript.pyannote[971].speaker SPEAKER_18
transcript.pyannote[971].start 6319.44846875
transcript.pyannote[971].end 6319.90409375
transcript.pyannote[972].speaker SPEAKER_00
transcript.pyannote[972].start 6338.51721875
transcript.pyannote[972].end 6339.04034375
transcript.pyannote[973].speaker SPEAKER_07
transcript.pyannote[973].start 6345.06471875
transcript.pyannote[973].end 6352.91159375
transcript.pyannote[974].speaker SPEAKER_25
transcript.pyannote[974].start 6345.79034375
transcript.pyannote[974].end 6347.35971875
transcript.pyannote[975].speaker SPEAKER_25
transcript.pyannote[975].start 6347.74784375
transcript.pyannote[975].end 6348.33846875
transcript.pyannote[976].speaker SPEAKER_25
transcript.pyannote[976].start 6351.44346875
transcript.pyannote[976].end 6356.72534375
transcript.pyannote[977].speaker SPEAKER_16
transcript.pyannote[977].start 6356.70846875
transcript.pyannote[977].end 6357.13034375
transcript.pyannote[978].speaker SPEAKER_25
transcript.pyannote[978].start 6356.97846875
transcript.pyannote[978].end 6365.51721875
transcript.pyannote[979].speaker SPEAKER_25
transcript.pyannote[979].start 6365.66909375
transcript.pyannote[979].end 6366.42846875
transcript.pyannote[980].speaker SPEAKER_25
transcript.pyannote[980].start 6366.93471875
transcript.pyannote[980].end 6372.31784375
transcript.pyannote[981].speaker SPEAKER_07
transcript.pyannote[981].start 6372.45284375
transcript.pyannote[981].end 6372.95909375
transcript.pyannote[982].speaker SPEAKER_25
transcript.pyannote[982].start 6372.95909375
transcript.pyannote[982].end 6388.01159375
transcript.pyannote[983].speaker SPEAKER_07
transcript.pyannote[983].start 6386.76284375
transcript.pyannote[983].end 6391.62284375
transcript.pyannote[984].speaker SPEAKER_25
transcript.pyannote[984].start 6389.39534375
transcript.pyannote[984].end 6392.93909375
transcript.pyannote[985].speaker SPEAKER_07
transcript.pyannote[985].start 6392.33159375
transcript.pyannote[985].end 6404.00909375
transcript.pyannote[986].speaker SPEAKER_18
transcript.pyannote[986].start 6403.11471875
transcript.pyannote[986].end 6403.68846875
transcript.pyannote[987].speaker SPEAKER_00
transcript.pyannote[987].start 6403.68846875
transcript.pyannote[987].end 6403.75596875
transcript.pyannote[988].speaker SPEAKER_07
transcript.pyannote[988].start 6404.29596875
transcript.pyannote[988].end 6408.58221875
transcript.pyannote[989].speaker SPEAKER_07
transcript.pyannote[989].start 6409.10534375
transcript.pyannote[989].end 6423.02721875
transcript.pyannote[990].speaker SPEAKER_18
transcript.pyannote[990].start 6409.29096875
transcript.pyannote[990].end 6409.45971875
transcript.pyannote[991].speaker SPEAKER_25
transcript.pyannote[991].start 6421.77846875
transcript.pyannote[991].end 6446.92221875
transcript.pyannote[992].speaker SPEAKER_07
transcript.pyannote[992].start 6427.44846875
transcript.pyannote[992].end 6427.73534375
transcript.pyannote[993].speaker SPEAKER_18
transcript.pyannote[993].start 6427.73534375
transcript.pyannote[993].end 6427.76909375
transcript.pyannote[994].speaker SPEAKER_07
transcript.pyannote[994].start 6442.45034375
transcript.pyannote[994].end 6442.53471875
transcript.pyannote[995].speaker SPEAKER_07
transcript.pyannote[995].start 6442.68659375
transcript.pyannote[995].end 6442.80471875
transcript.pyannote[996].speaker SPEAKER_25
transcript.pyannote[996].start 6446.95596875
transcript.pyannote[996].end 6469.16346875
transcript.pyannote[997].speaker SPEAKER_17
transcript.pyannote[997].start 6453.06471875
transcript.pyannote[997].end 6453.46971875
transcript.pyannote[998].speaker SPEAKER_16
transcript.pyannote[998].start 6453.46971875
transcript.pyannote[998].end 6453.52034375
transcript.pyannote[999].speaker SPEAKER_00
transcript.pyannote[999].start 6453.52034375
transcript.pyannote[999].end 6453.55409375
transcript.pyannote[1000].speaker SPEAKER_16
transcript.pyannote[1000].start 6457.18221875
transcript.pyannote[1000].end 6457.60409375
transcript.pyannote[1001].speaker SPEAKER_07
transcript.pyannote[1001].start 6467.02034375
transcript.pyannote[1001].end 6467.40846875
transcript.pyannote[1002].speaker SPEAKER_07
transcript.pyannote[1002].start 6468.08346875
transcript.pyannote[1002].end 6470.31096875
transcript.pyannote[1003].speaker SPEAKER_25
transcript.pyannote[1003].start 6470.31096875
transcript.pyannote[1003].end 6473.34846875
transcript.pyannote[1004].speaker SPEAKER_07
transcript.pyannote[1004].start 6472.11659375
transcript.pyannote[1004].end 6475.44096875
transcript.pyannote[1005].speaker SPEAKER_25
transcript.pyannote[1005].start 6474.98534375
transcript.pyannote[1005].end 6477.46596875
transcript.pyannote[1006].speaker SPEAKER_07
transcript.pyannote[1006].start 6476.75721875
transcript.pyannote[1006].end 6486.20721875
transcript.pyannote[1007].speaker SPEAKER_25
transcript.pyannote[1007].start 6479.96346875
transcript.pyannote[1007].end 6480.46971875
transcript.pyannote[1008].speaker SPEAKER_25
transcript.pyannote[1008].start 6480.75659375
transcript.pyannote[1008].end 6484.04721875
transcript.pyannote[1009].speaker SPEAKER_25
transcript.pyannote[1009].start 6485.11034375
transcript.pyannote[1009].end 6487.81034375
transcript.pyannote[1010].speaker SPEAKER_07
transcript.pyannote[1010].start 6487.57409375
transcript.pyannote[1010].end 6487.99596875
transcript.pyannote[1011].speaker SPEAKER_07
transcript.pyannote[1011].start 6488.21534375
transcript.pyannote[1011].end 6497.47971875
transcript.pyannote[1012].speaker SPEAKER_25
transcript.pyannote[1012].start 6494.17221875
transcript.pyannote[1012].end 6495.52221875
transcript.pyannote[1013].speaker SPEAKER_25
transcript.pyannote[1013].start 6497.66534375
transcript.pyannote[1013].end 6498.13784375
transcript.pyannote[1014].speaker SPEAKER_25
transcript.pyannote[1014].start 6498.37409375
transcript.pyannote[1014].end 6515.02971875
transcript.pyannote[1015].speaker SPEAKER_07
transcript.pyannote[1015].start 6500.63534375
transcript.pyannote[1015].end 6501.00659375
transcript.pyannote[1016].speaker SPEAKER_07
transcript.pyannote[1016].start 6515.18159375
transcript.pyannote[1016].end 6521.42534375
transcript.pyannote[1017].speaker SPEAKER_07
transcript.pyannote[1017].start 6521.59409375
transcript.pyannote[1017].end 6529.86284375
transcript.pyannote[1018].speaker SPEAKER_25
transcript.pyannote[1018].start 6521.76284375
transcript.pyannote[1018].end 6522.64034375
transcript.pyannote[1019].speaker SPEAKER_25
transcript.pyannote[1019].start 6523.33221875
transcript.pyannote[1019].end 6524.22659375
transcript.pyannote[1020].speaker SPEAKER_25
transcript.pyannote[1020].start 6529.86284375
transcript.pyannote[1020].end 6534.50346875
transcript.pyannote[1021].speaker SPEAKER_07
transcript.pyannote[1021].start 6533.45721875
transcript.pyannote[1021].end 6537.00096875
transcript.pyannote[1022].speaker SPEAKER_25
transcript.pyannote[1022].start 6536.61284375
transcript.pyannote[1022].end 6537.11909375
transcript.pyannote[1023].speaker SPEAKER_07
transcript.pyannote[1023].start 6537.03471875
transcript.pyannote[1023].end 6562.95471875
transcript.pyannote[1024].speaker SPEAKER_25
transcript.pyannote[1024].start 6562.85346875
transcript.pyannote[1024].end 6584.79096875
transcript.pyannote[1025].speaker SPEAKER_00
transcript.pyannote[1025].start 6575.29034375
transcript.pyannote[1025].end 6575.32409375
transcript.pyannote[1026].speaker SPEAKER_18
transcript.pyannote[1026].start 6575.32409375
transcript.pyannote[1026].end 6575.74596875
transcript.pyannote[1027].speaker SPEAKER_07
transcript.pyannote[1027].start 6584.74034375
transcript.pyannote[1027].end 6587.23784375
transcript.pyannote[1028].speaker SPEAKER_25
transcript.pyannote[1028].start 6587.33909375
transcript.pyannote[1028].end 6593.56596875
transcript.pyannote[1029].speaker SPEAKER_07
transcript.pyannote[1029].start 6588.31784375
transcript.pyannote[1029].end 6589.68471875
transcript.pyannote[1030].speaker SPEAKER_07
transcript.pyannote[1030].start 6591.18659375
transcript.pyannote[1030].end 6591.97971875
transcript.pyannote[1031].speaker SPEAKER_07
transcript.pyannote[1031].start 6592.36784375
transcript.pyannote[1031].end 6592.92471875
transcript.pyannote[1032].speaker SPEAKER_07
transcript.pyannote[1032].start 6593.51534375
transcript.pyannote[1032].end 6593.53221875
transcript.pyannote[1033].speaker SPEAKER_07
transcript.pyannote[1033].start 6593.54909375
transcript.pyannote[1033].end 6598.32471875
transcript.pyannote[1034].speaker SPEAKER_25
transcript.pyannote[1034].start 6594.27471875
transcript.pyannote[1034].end 6595.72596875
transcript.pyannote[1035].speaker SPEAKER_25
transcript.pyannote[1035].start 6597.29534375
transcript.pyannote[1035].end 6601.02471875
transcript.pyannote[1036].speaker SPEAKER_07
transcript.pyannote[1036].start 6600.94034375
transcript.pyannote[1036].end 6604.18034375
transcript.pyannote[1037].speaker SPEAKER_25
transcript.pyannote[1037].start 6602.50971875
transcript.pyannote[1037].end 6607.28534375
transcript.pyannote[1038].speaker SPEAKER_07
transcript.pyannote[1038].start 6607.28534375
transcript.pyannote[1038].end 6607.70721875
transcript.pyannote[1039].speaker SPEAKER_25
transcript.pyannote[1039].start 6607.70721875
transcript.pyannote[1039].end 6608.28096875
transcript.pyannote[1040].speaker SPEAKER_07
transcript.pyannote[1040].start 6607.92659375
transcript.pyannote[1040].end 6612.26346875
transcript.pyannote[1041].speaker SPEAKER_25
transcript.pyannote[1041].start 6612.16221875
transcript.pyannote[1041].end 6622.60784375
transcript.pyannote[1042].speaker SPEAKER_07
transcript.pyannote[1042].start 6620.86971875
transcript.pyannote[1042].end 6620.97096875
transcript.pyannote[1043].speaker SPEAKER_25
transcript.pyannote[1043].start 6622.64159375
transcript.pyannote[1043].end 6624.46409375
transcript.pyannote[1044].speaker SPEAKER_07
transcript.pyannote[1044].start 6624.70034375
transcript.pyannote[1044].end 6625.45971875
transcript.pyannote[1045].speaker SPEAKER_25
transcript.pyannote[1045].start 6625.45971875
transcript.pyannote[1045].end 6625.76346875
transcript.pyannote[1046].speaker SPEAKER_07
transcript.pyannote[1046].start 6625.76346875
transcript.pyannote[1046].end 6625.79721875
transcript.pyannote[1047].speaker SPEAKER_07
transcript.pyannote[1047].start 6625.98284375
transcript.pyannote[1047].end 6626.08409375
transcript.pyannote[1048].speaker SPEAKER_05
transcript.pyannote[1048].start 6626.08409375
transcript.pyannote[1048].end 6626.10096875
transcript.pyannote[1049].speaker SPEAKER_07
transcript.pyannote[1049].start 6626.10096875
transcript.pyannote[1049].end 6626.72534375
transcript.pyannote[1050].speaker SPEAKER_25
transcript.pyannote[1050].start 6626.72534375
transcript.pyannote[1050].end 6626.91096875
transcript.pyannote[1051].speaker SPEAKER_07
transcript.pyannote[1051].start 6626.91096875
transcript.pyannote[1051].end 6626.92784375
transcript.pyannote[1052].speaker SPEAKER_05
transcript.pyannote[1052].start 6629.86409375
transcript.pyannote[1052].end 6635.53409375
transcript.pyannote[1053].speaker SPEAKER_19
transcript.pyannote[1053].start 6646.92471875
transcript.pyannote[1053].end 6648.13971875
transcript.pyannote[1054].speaker SPEAKER_19
transcript.pyannote[1054].start 6648.74721875
transcript.pyannote[1054].end 6649.74284375
transcript.pyannote[1055].speaker SPEAKER_19
transcript.pyannote[1055].start 6650.28284375
transcript.pyannote[1055].end 6652.81409375
transcript.pyannote[1056].speaker SPEAKER_19
transcript.pyannote[1056].start 6653.92784375
transcript.pyannote[1056].end 6654.60284375
transcript.pyannote[1057].speaker SPEAKER_05
transcript.pyannote[1057].start 6655.15971875
transcript.pyannote[1057].end 6659.12534375
transcript.pyannote[1058].speaker SPEAKER_19
transcript.pyannote[1058].start 6656.10471875
transcript.pyannote[1058].end 6656.96534375
transcript.pyannote[1059].speaker SPEAKER_05
transcript.pyannote[1059].start 6659.71596875
transcript.pyannote[1059].end 6660.22221875
transcript.pyannote[1060].speaker SPEAKER_19
transcript.pyannote[1060].start 6660.32346875
transcript.pyannote[1060].end 6660.77909375
transcript.pyannote[1061].speaker SPEAKER_19
transcript.pyannote[1061].start 6661.35284375
transcript.pyannote[1061].end 6661.63971875
transcript.pyannote[1062].speaker SPEAKER_19
transcript.pyannote[1062].start 6661.75784375
transcript.pyannote[1062].end 6662.66909375
transcript.pyannote[1063].speaker SPEAKER_19
transcript.pyannote[1063].start 6663.76596875
transcript.pyannote[1063].end 6668.50784375
transcript.pyannote[1064].speaker SPEAKER_19
transcript.pyannote[1064].start 6669.53721875
transcript.pyannote[1064].end 6672.67596875
transcript.pyannote[1065].speaker SPEAKER_19
transcript.pyannote[1065].start 6673.30034375
transcript.pyannote[1065].end 6675.57846875
transcript.pyannote[1066].speaker SPEAKER_19
transcript.pyannote[1066].start 6676.16909375
transcript.pyannote[1066].end 6678.26159375
transcript.pyannote[1067].speaker SPEAKER_19
transcript.pyannote[1067].start 6678.51471875
transcript.pyannote[1067].end 6679.32471875
transcript.pyannote[1068].speaker SPEAKER_19
transcript.pyannote[1068].start 6680.06721875
transcript.pyannote[1068].end 6682.75034375
transcript.pyannote[1069].speaker SPEAKER_19
transcript.pyannote[1069].start 6683.67846875
transcript.pyannote[1069].end 6686.39534375
transcript.pyannote[1070].speaker SPEAKER_19
transcript.pyannote[1070].start 6687.49221875
transcript.pyannote[1070].end 6689.85471875
transcript.pyannote[1071].speaker SPEAKER_19
transcript.pyannote[1071].start 6690.68159375
transcript.pyannote[1071].end 6692.89221875
transcript.pyannote[1072].speaker SPEAKER_19
transcript.pyannote[1072].start 6693.92159375
transcript.pyannote[1072].end 6694.39409375
transcript.pyannote[1073].speaker SPEAKER_19
transcript.pyannote[1073].start 6694.66409375
transcript.pyannote[1073].end 6699.74346875
transcript.pyannote[1074].speaker SPEAKER_19
transcript.pyannote[1074].start 6700.30034375
transcript.pyannote[1074].end 6704.21534375
transcript.pyannote[1075].speaker SPEAKER_19
transcript.pyannote[1075].start 6705.48096875
transcript.pyannote[1075].end 6706.12221875
transcript.pyannote[1076].speaker SPEAKER_19
transcript.pyannote[1076].start 6706.32471875
transcript.pyannote[1076].end 6708.14721875
transcript.pyannote[1077].speaker SPEAKER_19
transcript.pyannote[1077].start 6709.26096875
transcript.pyannote[1077].end 6714.59346875
transcript.pyannote[1078].speaker SPEAKER_19
transcript.pyannote[1078].start 6715.28534375
transcript.pyannote[1078].end 6721.59659375
transcript.pyannote[1079].speaker SPEAKER_19
transcript.pyannote[1079].start 6722.82846875
transcript.pyannote[1079].end 6723.90846875
transcript.pyannote[1080].speaker SPEAKER_19
transcript.pyannote[1080].start 6724.02659375
transcript.pyannote[1080].end 6724.34721875
transcript.pyannote[1081].speaker SPEAKER_19
transcript.pyannote[1081].start 6726.55784375
transcript.pyannote[1081].end 6728.00909375
transcript.pyannote[1082].speaker SPEAKER_19
transcript.pyannote[1082].start 6728.58284375
transcript.pyannote[1082].end 6729.46034375
transcript.pyannote[1083].speaker SPEAKER_19
transcript.pyannote[1083].start 6729.69659375
transcript.pyannote[1083].end 6730.96221875
transcript.pyannote[1084].speaker SPEAKER_19
transcript.pyannote[1084].start 6731.90721875
transcript.pyannote[1084].end 6737.18909375
transcript.pyannote[1085].speaker SPEAKER_19
transcript.pyannote[1085].start 6738.04971875
transcript.pyannote[1085].end 6739.09596875
transcript.pyannote[1086].speaker SPEAKER_19
transcript.pyannote[1086].start 6739.63596875
transcript.pyannote[1086].end 6742.33596875
transcript.pyannote[1087].speaker SPEAKER_19
transcript.pyannote[1087].start 6742.96034375
transcript.pyannote[1087].end 6746.85846875
transcript.pyannote[1088].speaker SPEAKER_19
transcript.pyannote[1088].start 6747.46596875
transcript.pyannote[1088].end 6749.77784375
transcript.pyannote[1089].speaker SPEAKER_19
transcript.pyannote[1089].start 6750.99284375
transcript.pyannote[1089].end 6751.48221875
transcript.pyannote[1090].speaker SPEAKER_19
transcript.pyannote[1090].start 6751.51596875
transcript.pyannote[1090].end 6752.56221875
transcript.pyannote[1091].speaker SPEAKER_19
transcript.pyannote[1091].start 6752.83221875
transcript.pyannote[1091].end 6754.19909375
transcript.pyannote[1092].speaker SPEAKER_19
transcript.pyannote[1092].start 6754.57034375
transcript.pyannote[1092].end 6755.73471875
transcript.pyannote[1093].speaker SPEAKER_19
transcript.pyannote[1093].start 6756.64596875
transcript.pyannote[1093].end 6758.94096875
transcript.pyannote[1094].speaker SPEAKER_19
transcript.pyannote[1094].start 6760.07159375
transcript.pyannote[1094].end 6760.57784375
transcript.pyannote[1095].speaker SPEAKER_19
transcript.pyannote[1095].start 6761.57346875
transcript.pyannote[1095].end 6762.11346875
transcript.pyannote[1096].speaker SPEAKER_19
transcript.pyannote[1096].start 6762.23159375
transcript.pyannote[1096].end 6764.50971875
transcript.pyannote[1097].speaker SPEAKER_19
transcript.pyannote[1097].start 6765.25221875
transcript.pyannote[1097].end 6766.58534375
transcript.pyannote[1098].speaker SPEAKER_19
transcript.pyannote[1098].start 6767.76659375
transcript.pyannote[1098].end 6768.76221875
transcript.pyannote[1099].speaker SPEAKER_19
transcript.pyannote[1099].start 6769.04909375
transcript.pyannote[1099].end 6770.33159375
transcript.pyannote[1100].speaker SPEAKER_19
transcript.pyannote[1100].start 6770.82096875
transcript.pyannote[1100].end 6771.74909375
transcript.pyannote[1101].speaker SPEAKER_19
transcript.pyannote[1101].start 6772.93034375
transcript.pyannote[1101].end 6773.84159375
transcript.pyannote[1102].speaker SPEAKER_09
transcript.pyannote[1102].start 6774.51659375
transcript.pyannote[1102].end 6774.82034375
transcript.pyannote[1103].speaker SPEAKER_19
transcript.pyannote[1103].start 6775.20846875
transcript.pyannote[1103].end 6775.73159375
transcript.pyannote[1104].speaker SPEAKER_09
transcript.pyannote[1104].start 6775.90034375
transcript.pyannote[1104].end 6776.94659375
transcript.pyannote[1105].speaker SPEAKER_19
transcript.pyannote[1105].start 6777.19971875
transcript.pyannote[1105].end 6780.32159375
transcript.pyannote[1106].speaker SPEAKER_19
transcript.pyannote[1106].start 6780.74346875
transcript.pyannote[1106].end 6781.57034375
transcript.pyannote[1107].speaker SPEAKER_19
transcript.pyannote[1107].start 6782.48159375
transcript.pyannote[1107].end 6782.76846875
transcript.pyannote[1108].speaker SPEAKER_19
transcript.pyannote[1108].start 6783.17346875
transcript.pyannote[1108].end 6784.54034375
transcript.pyannote[1109].speaker SPEAKER_18
transcript.pyannote[1109].start 6784.77659375
transcript.pyannote[1109].end 6785.19846875
transcript.pyannote[1110].speaker SPEAKER_19
transcript.pyannote[1110].start 6785.35034375
transcript.pyannote[1110].end 6787.32471875
transcript.pyannote[1111].speaker SPEAKER_19
transcript.pyannote[1111].start 6788.20221875
transcript.pyannote[1111].end 6789.55221875
transcript.pyannote[1112].speaker SPEAKER_19
transcript.pyannote[1112].start 6790.36221875
transcript.pyannote[1112].end 6791.08784375
transcript.pyannote[1113].speaker SPEAKER_19
transcript.pyannote[1113].start 6791.88096875
transcript.pyannote[1113].end 6793.19721875
transcript.pyannote[1114].speaker SPEAKER_09
transcript.pyannote[1114].start 6793.28159375
transcript.pyannote[1114].end 6793.61909375
transcript.pyannote[1115].speaker SPEAKER_19
transcript.pyannote[1115].start 6793.82159375
transcript.pyannote[1115].end 6794.32784375
transcript.pyannote[1116].speaker SPEAKER_19
transcript.pyannote[1116].start 6795.22221875
transcript.pyannote[1116].end 6796.35284375
transcript.pyannote[1117].speaker SPEAKER_19
transcript.pyannote[1117].start 6798.25971875
transcript.pyannote[1117].end 6800.43659375
transcript.pyannote[1118].speaker SPEAKER_19
transcript.pyannote[1118].start 6801.01034375
transcript.pyannote[1118].end 6801.82034375
transcript.pyannote[1119].speaker SPEAKER_19
transcript.pyannote[1119].start 6802.66409375
transcript.pyannote[1119].end 6805.11096875
transcript.pyannote[1120].speaker SPEAKER_19
transcript.pyannote[1120].start 6805.41471875
transcript.pyannote[1120].end 6808.26659375
transcript.pyannote[1121].speaker SPEAKER_19
transcript.pyannote[1121].start 6808.63784375
transcript.pyannote[1121].end 6809.12721875
transcript.pyannote[1122].speaker SPEAKER_19
transcript.pyannote[1122].start 6809.66721875
transcript.pyannote[1122].end 6810.47721875
transcript.pyannote[1123].speaker SPEAKER_19
transcript.pyannote[1123].start 6810.54471875
transcript.pyannote[1123].end 6811.67534375
transcript.pyannote[1124].speaker SPEAKER_19
transcript.pyannote[1124].start 6812.51909375
transcript.pyannote[1124].end 6813.93659375
transcript.pyannote[1125].speaker SPEAKER_19
transcript.pyannote[1125].start 6814.78034375
transcript.pyannote[1125].end 6818.03721875
transcript.pyannote[1126].speaker SPEAKER_19
transcript.pyannote[1126].start 6819.33659375
transcript.pyannote[1126].end 6821.10846875
transcript.pyannote[1127].speaker SPEAKER_19
transcript.pyannote[1127].start 6821.83409375
transcript.pyannote[1127].end 6826.98096875
transcript.pyannote[1128].speaker SPEAKER_19
transcript.pyannote[1128].start 6828.07784375
transcript.pyannote[1128].end 6831.11534375
transcript.pyannote[1129].speaker SPEAKER_19
transcript.pyannote[1129].start 6831.77346875
transcript.pyannote[1129].end 6833.89971875
transcript.pyannote[1130].speaker SPEAKER_19
transcript.pyannote[1130].start 6834.94596875
transcript.pyannote[1130].end 6835.60409375
transcript.pyannote[1131].speaker SPEAKER_19
transcript.pyannote[1131].start 6836.29596875
transcript.pyannote[1131].end 6837.30846875
transcript.pyannote[1132].speaker SPEAKER_09
transcript.pyannote[1132].start 6839.50221875
transcript.pyannote[1132].end 6852.59721875
transcript.pyannote[1133].speaker SPEAKER_09
transcript.pyannote[1133].start 6852.69846875
transcript.pyannote[1133].end 6862.67159375
transcript.pyannote[1134].speaker SPEAKER_19
transcript.pyannote[1134].start 6862.23284375
transcript.pyannote[1134].end 6864.27471875
transcript.pyannote[1135].speaker SPEAKER_19
transcript.pyannote[1135].start 6865.06784375
transcript.pyannote[1135].end 6867.93659375
transcript.pyannote[1136].speaker SPEAKER_09
transcript.pyannote[1136].start 6866.51909375
transcript.pyannote[1136].end 6870.82221875
transcript.pyannote[1137].speaker SPEAKER_19
transcript.pyannote[1137].start 6871.76721875
transcript.pyannote[1137].end 6872.50971875
transcript.pyannote[1138].speaker SPEAKER_09
transcript.pyannote[1138].start 6871.80096875
transcript.pyannote[1138].end 6877.15034375
transcript.pyannote[1139].speaker SPEAKER_00
transcript.pyannote[1139].start 6872.50971875
transcript.pyannote[1139].end 6872.54346875
transcript.pyannote[1140].speaker SPEAKER_09
transcript.pyannote[1140].start 6877.50471875
transcript.pyannote[1140].end 6880.20471875
transcript.pyannote[1141].speaker SPEAKER_09
transcript.pyannote[1141].start 6880.59284375
transcript.pyannote[1141].end 6881.79096875
transcript.pyannote[1142].speaker SPEAKER_19
transcript.pyannote[1142].start 6882.88784375
transcript.pyannote[1142].end 6885.62159375
transcript.pyannote[1143].speaker SPEAKER_19
transcript.pyannote[1143].start 6886.33034375
transcript.pyannote[1143].end 6888.91221875
transcript.pyannote[1144].speaker SPEAKER_19
transcript.pyannote[1144].start 6889.85721875
transcript.pyannote[1144].end 6893.55284375
transcript.pyannote[1145].speaker SPEAKER_16
transcript.pyannote[1145].start 6894.54846875
transcript.pyannote[1145].end 6894.71721875
transcript.pyannote[1146].speaker SPEAKER_19
transcript.pyannote[1146].start 6897.13034375
transcript.pyannote[1146].end 6898.44659375
transcript.pyannote[1147].speaker SPEAKER_19
transcript.pyannote[1147].start 6899.08784375
transcript.pyannote[1147].end 6900.53909375
transcript.pyannote[1148].speaker SPEAKER_19
transcript.pyannote[1148].start 6900.84284375
transcript.pyannote[1148].end 6902.26034375
transcript.pyannote[1149].speaker SPEAKER_19
transcript.pyannote[1149].start 6903.40784375
transcript.pyannote[1149].end 6904.99409375
transcript.pyannote[1150].speaker SPEAKER_19
transcript.pyannote[1150].start 6905.68596875
transcript.pyannote[1150].end 6910.54596875
transcript.pyannote[1151].speaker SPEAKER_19
transcript.pyannote[1151].start 6910.91721875
transcript.pyannote[1151].end 6912.35159375
transcript.pyannote[1152].speaker SPEAKER_19
transcript.pyannote[1152].start 6912.85784375
transcript.pyannote[1152].end 6913.60034375
transcript.pyannote[1153].speaker SPEAKER_19
transcript.pyannote[1153].start 6914.00534375
transcript.pyannote[1153].end 6915.43971875
transcript.pyannote[1154].speaker SPEAKER_25
transcript.pyannote[1154].start 6915.08534375
transcript.pyannote[1154].end 6915.57471875
transcript.pyannote[1155].speaker SPEAKER_25
transcript.pyannote[1155].start 6915.67596875
transcript.pyannote[1155].end 6915.84471875
transcript.pyannote[1156].speaker SPEAKER_25
transcript.pyannote[1156].start 6916.46909375
transcript.pyannote[1156].end 6921.37971875
transcript.pyannote[1157].speaker SPEAKER_25
transcript.pyannote[1157].start 6922.20659375
transcript.pyannote[1157].end 6927.16784375
transcript.pyannote[1158].speaker SPEAKER_25
transcript.pyannote[1158].start 6927.30284375
transcript.pyannote[1158].end 6938.13659375
transcript.pyannote[1159].speaker SPEAKER_25
transcript.pyannote[1159].start 6938.98034375
transcript.pyannote[1159].end 6940.04346875
transcript.pyannote[1160].speaker SPEAKER_25
transcript.pyannote[1160].start 6940.71846875
transcript.pyannote[1160].end 6941.66346875
transcript.pyannote[1161].speaker SPEAKER_19
transcript.pyannote[1161].start 6942.47346875
transcript.pyannote[1161].end 6945.02159375
transcript.pyannote[1162].speaker SPEAKER_19
transcript.pyannote[1162].start 6945.91596875
transcript.pyannote[1162].end 6947.31659375
transcript.pyannote[1163].speaker SPEAKER_19
transcript.pyannote[1163].start 6948.04221875
transcript.pyannote[1163].end 6948.26159375
transcript.pyannote[1164].speaker SPEAKER_19
transcript.pyannote[1164].start 6949.15596875
transcript.pyannote[1164].end 6951.92346875
transcript.pyannote[1165].speaker SPEAKER_19
transcript.pyannote[1165].start 6952.54784375
transcript.pyannote[1165].end 6954.16784375
transcript.pyannote[1166].speaker SPEAKER_19
transcript.pyannote[1166].start 6955.07909375
transcript.pyannote[1166].end 6956.17596875
transcript.pyannote[1167].speaker SPEAKER_19
transcript.pyannote[1167].start 6956.66534375
transcript.pyannote[1167].end 6957.69471875
transcript.pyannote[1168].speaker SPEAKER_19
transcript.pyannote[1168].start 6958.69034375
transcript.pyannote[1168].end 6959.71971875
transcript.pyannote[1169].speaker SPEAKER_19
transcript.pyannote[1169].start 6960.49596875
transcript.pyannote[1169].end 6961.50846875
transcript.pyannote[1170].speaker SPEAKER_19
transcript.pyannote[1170].start 6962.28471875
transcript.pyannote[1170].end 6963.43221875
transcript.pyannote[1171].speaker SPEAKER_19
transcript.pyannote[1171].start 6964.03971875
transcript.pyannote[1171].end 6964.98471875
transcript.pyannote[1172].speaker SPEAKER_19
transcript.pyannote[1172].start 6966.18284375
transcript.pyannote[1172].end 6966.41909375
transcript.pyannote[1173].speaker SPEAKER_19
transcript.pyannote[1173].start 6967.22909375
transcript.pyannote[1173].end 6967.70159375
transcript.pyannote[1174].speaker SPEAKER_19
transcript.pyannote[1174].start 6967.90409375
transcript.pyannote[1174].end 6968.51159375
transcript.pyannote[1175].speaker SPEAKER_19
transcript.pyannote[1175].start 6970.30034375
transcript.pyannote[1175].end 6970.53659375
transcript.pyannote[1176].speaker SPEAKER_19
transcript.pyannote[1176].start 6970.90784375
transcript.pyannote[1176].end 6972.00471875
transcript.pyannote[1177].speaker SPEAKER_19
transcript.pyannote[1177].start 6972.56159375
transcript.pyannote[1177].end 6975.44721875
transcript.pyannote[1178].speaker SPEAKER_25
transcript.pyannote[1178].start 6976.07159375
transcript.pyannote[1178].end 6990.82034375
transcript.pyannote[1179].speaker SPEAKER_19
transcript.pyannote[1179].start 6990.17909375
transcript.pyannote[1179].end 6990.80346875
transcript.pyannote[1180].speaker SPEAKER_19
transcript.pyannote[1180].start 6990.82034375
transcript.pyannote[1180].end 6991.10721875
transcript.pyannote[1181].speaker SPEAKER_25
transcript.pyannote[1181].start 6991.10721875
transcript.pyannote[1181].end 6992.84534375
transcript.pyannote[1182].speaker SPEAKER_19
transcript.pyannote[1182].start 6991.12409375
transcript.pyannote[1182].end 6993.11534375
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 6993.11534375
transcript.pyannote[1183].end 7013.14596875
transcript.pyannote[1184].speaker SPEAKER_19
transcript.pyannote[1184].start 7002.76784375
transcript.pyannote[1184].end 7004.23596875
transcript.pyannote[1185].speaker SPEAKER_25
transcript.pyannote[1185].start 7013.29784375
transcript.pyannote[1185].end 7019.54159375
transcript.pyannote[1186].speaker SPEAKER_19
transcript.pyannote[1186].start 7019.50784375
transcript.pyannote[1186].end 7019.96346875
transcript.pyannote[1187].speaker SPEAKER_19
transcript.pyannote[1187].start 7020.01409375
transcript.pyannote[1187].end 7022.47784375
transcript.pyannote[1188].speaker SPEAKER_19
transcript.pyannote[1188].start 7023.06846875
transcript.pyannote[1188].end 7024.50284375
transcript.pyannote[1189].speaker SPEAKER_25
transcript.pyannote[1189].start 7024.24971875
transcript.pyannote[1189].end 7027.21971875
transcript.pyannote[1190].speaker SPEAKER_19
transcript.pyannote[1190].start 7027.21971875
transcript.pyannote[1190].end 7027.65846875
transcript.pyannote[1191].speaker SPEAKER_25
transcript.pyannote[1191].start 7027.65846875
transcript.pyannote[1191].end 7034.99909375
transcript.pyannote[1192].speaker SPEAKER_19
transcript.pyannote[1192].start 7035.28596875
transcript.pyannote[1192].end 7035.60659375
transcript.pyannote[1193].speaker SPEAKER_19
transcript.pyannote[1193].start 7036.75409375
transcript.pyannote[1193].end 7039.84221875
transcript.pyannote[1194].speaker SPEAKER_19
transcript.pyannote[1194].start 7040.61846875
transcript.pyannote[1194].end 7040.93909375
transcript.pyannote[1195].speaker SPEAKER_19
transcript.pyannote[1195].start 7042.47471875
transcript.pyannote[1195].end 7045.39409375
transcript.pyannote[1196].speaker SPEAKER_19
transcript.pyannote[1196].start 7046.22096875
transcript.pyannote[1196].end 7047.85784375
transcript.pyannote[1197].speaker SPEAKER_19
transcript.pyannote[1197].start 7049.44409375
transcript.pyannote[1197].end 7050.32159375
transcript.pyannote[1198].speaker SPEAKER_19
transcript.pyannote[1198].start 7050.97971875
transcript.pyannote[1198].end 7052.95409375
transcript.pyannote[1199].speaker SPEAKER_19
transcript.pyannote[1199].start 7053.25784375
transcript.pyannote[1199].end 7054.28721875
transcript.pyannote[1200].speaker SPEAKER_19
transcript.pyannote[1200].start 7055.97471875
transcript.pyannote[1200].end 7057.20659375
transcript.pyannote[1201].speaker SPEAKER_19
transcript.pyannote[1201].start 7058.15159375
transcript.pyannote[1201].end 7059.55221875
transcript.pyannote[1202].speaker SPEAKER_19
transcript.pyannote[1202].start 7060.95284375
transcript.pyannote[1202].end 7061.72909375
transcript.pyannote[1203].speaker SPEAKER_19
transcript.pyannote[1203].start 7062.40409375
transcript.pyannote[1203].end 7063.39971875
transcript.pyannote[1204].speaker SPEAKER_19
transcript.pyannote[1204].start 7064.47971875
transcript.pyannote[1204].end 7065.69471875
transcript.pyannote[1205].speaker SPEAKER_19
transcript.pyannote[1205].start 7066.21784375
transcript.pyannote[1205].end 7067.29784375
transcript.pyannote[1206].speaker SPEAKER_19
transcript.pyannote[1206].start 7068.44534375
transcript.pyannote[1206].end 7068.83346875
transcript.pyannote[1207].speaker SPEAKER_19
transcript.pyannote[1207].start 7069.40721875
transcript.pyannote[1207].end 7071.29721875
transcript.pyannote[1208].speaker SPEAKER_19
transcript.pyannote[1208].start 7071.73596875
transcript.pyannote[1208].end 7072.34346875
transcript.pyannote[1209].speaker SPEAKER_19
transcript.pyannote[1209].start 7073.01846875
transcript.pyannote[1209].end 7073.40659375
transcript.pyannote[1210].speaker SPEAKER_19
transcript.pyannote[1210].start 7074.08159375
transcript.pyannote[1210].end 7076.47784375
transcript.pyannote[1211].speaker SPEAKER_19
transcript.pyannote[1211].start 7077.00096875
transcript.pyannote[1211].end 7079.95409375
transcript.pyannote[1212].speaker SPEAKER_18
transcript.pyannote[1212].start 7079.95409375
transcript.pyannote[1212].end 7080.76409375
transcript.pyannote[1213].speaker SPEAKER_19
transcript.pyannote[1213].start 7080.57846875
transcript.pyannote[1213].end 7080.93284375
transcript.pyannote[1214].speaker SPEAKER_19
transcript.pyannote[1214].start 7081.48971875
transcript.pyannote[1214].end 7082.55284375
transcript.pyannote[1215].speaker SPEAKER_19
transcript.pyannote[1215].start 7083.36284375
transcript.pyannote[1215].end 7085.43846875
transcript.pyannote[1216].speaker SPEAKER_19
transcript.pyannote[1216].start 7085.92784375
transcript.pyannote[1216].end 7086.65346875
transcript.pyannote[1217].speaker SPEAKER_19
transcript.pyannote[1217].start 7086.92346875
transcript.pyannote[1217].end 7088.02034375
transcript.pyannote[1218].speaker SPEAKER_19
transcript.pyannote[1218].start 7089.01596875
transcript.pyannote[1218].end 7091.83409375
transcript.pyannote[1219].speaker SPEAKER_19
transcript.pyannote[1219].start 7092.32346875
transcript.pyannote[1219].end 7094.24721875
transcript.pyannote[1220].speaker SPEAKER_19
transcript.pyannote[1220].start 7094.75346875
transcript.pyannote[1220].end 7096.96409375
transcript.pyannote[1221].speaker SPEAKER_19
transcript.pyannote[1221].start 7097.18346875
transcript.pyannote[1221].end 7099.42784375
transcript.pyannote[1222].speaker SPEAKER_19
transcript.pyannote[1222].start 7099.96784375
transcript.pyannote[1222].end 7101.08159375
transcript.pyannote[1223].speaker SPEAKER_19
transcript.pyannote[1223].start 7101.58784375
transcript.pyannote[1223].end 7104.30471875
transcript.pyannote[1224].speaker SPEAKER_19
transcript.pyannote[1224].start 7104.79409375
transcript.pyannote[1224].end 7106.02596875
transcript.pyannote[1225].speaker SPEAKER_19
transcript.pyannote[1225].start 7106.54909375
transcript.pyannote[1225].end 7107.37596875
transcript.pyannote[1226].speaker SPEAKER_19
transcript.pyannote[1226].start 7107.76409375
transcript.pyannote[1226].end 7108.82721875
transcript.pyannote[1227].speaker SPEAKER_25
transcript.pyannote[1227].start 7108.16909375
transcript.pyannote[1227].end 7116.72471875
transcript.pyannote[1228].speaker SPEAKER_19
transcript.pyannote[1228].start 7110.59909375
transcript.pyannote[1228].end 7112.55659375
transcript.pyannote[1229].speaker SPEAKER_19
transcript.pyannote[1229].start 7115.50971875
transcript.pyannote[1229].end 7118.78346875
transcript.pyannote[1230].speaker SPEAKER_25
transcript.pyannote[1230].start 7117.93971875
transcript.pyannote[1230].end 7118.20971875
transcript.pyannote[1231].speaker SPEAKER_19
transcript.pyannote[1231].start 7118.88471875
transcript.pyannote[1231].end 7119.62721875
transcript.pyannote[1232].speaker SPEAKER_05
transcript.pyannote[1232].start 7125.41534375
transcript.pyannote[1232].end 7130.47784375
transcript.pyannote[1233].speaker SPEAKER_05
transcript.pyannote[1233].start 7474.69409375
transcript.pyannote[1233].end 7479.35159375
transcript.pyannote[1234].speaker SPEAKER_02
transcript.pyannote[1234].start 7488.54846875
transcript.pyannote[1234].end 7492.64909375
transcript.pyannote[1235].speaker SPEAKER_05
transcript.pyannote[1235].start 7492.98659375
transcript.pyannote[1235].end 7496.98596875
transcript.pyannote[1236].speaker SPEAKER_02
transcript.pyannote[1236].start 7498.65659375
transcript.pyannote[1236].end 7499.16284375
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 7500.47909375
transcript.pyannote[1237].end 7501.06971875
transcript.pyannote[1238].speaker SPEAKER_02
transcript.pyannote[1238].start 7501.30596875
transcript.pyannote[1238].end 7501.72784375
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 7502.06534375
transcript.pyannote[1239].end 7505.49096875
transcript.pyannote[1240].speaker SPEAKER_02
transcript.pyannote[1240].start 7506.11534375
transcript.pyannote[1240].end 7509.45659375
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 7510.19909375
transcript.pyannote[1241].end 7511.56596875
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 7512.47721875
transcript.pyannote[1242].end 7516.00409375
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 7516.56096875
transcript.pyannote[1243].end 7519.44659375
transcript.pyannote[1244].speaker SPEAKER_02
transcript.pyannote[1244].start 7520.18909375
transcript.pyannote[1244].end 7524.23909375
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 7525.23471875
transcript.pyannote[1245].end 7528.81221875
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 7529.11596875
transcript.pyannote[1246].end 7531.96784375
transcript.pyannote[1247].speaker SPEAKER_25
transcript.pyannote[1247].start 7531.96784375
transcript.pyannote[1247].end 7533.97596875
transcript.pyannote[1248].speaker SPEAKER_25
transcript.pyannote[1248].start 7534.34721875
transcript.pyannote[1248].end 7542.58221875
transcript.pyannote[1249].speaker SPEAKER_25
transcript.pyannote[1249].start 7542.78471875
transcript.pyannote[1249].end 7545.56909375
transcript.pyannote[1250].speaker SPEAKER_25
transcript.pyannote[1250].start 7546.02471875
transcript.pyannote[1250].end 7551.99846875
transcript.pyannote[1251].speaker SPEAKER_02
transcript.pyannote[1251].start 7549.78784375
transcript.pyannote[1251].end 7550.63159375
transcript.pyannote[1252].speaker SPEAKER_02
transcript.pyannote[1252].start 7551.49221875
transcript.pyannote[1252].end 7555.28909375
transcript.pyannote[1253].speaker SPEAKER_25
transcript.pyannote[1253].start 7553.02784375
transcript.pyannote[1253].end 7560.95909375
transcript.pyannote[1254].speaker SPEAKER_02
transcript.pyannote[1254].start 7559.71034375
transcript.pyannote[1254].end 7567.08471875
transcript.pyannote[1255].speaker SPEAKER_02
transcript.pyannote[1255].start 7567.60784375
transcript.pyannote[1255].end 7570.79721875
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 7571.38784375
transcript.pyannote[1256].end 7573.53096875
transcript.pyannote[1257].speaker SPEAKER_25
transcript.pyannote[1257].start 7573.53096875
transcript.pyannote[1257].end 7573.59846875
transcript.pyannote[1258].speaker SPEAKER_02
transcript.pyannote[1258].start 7573.59846875
transcript.pyannote[1258].end 7573.63221875
transcript.pyannote[1259].speaker SPEAKER_25
transcript.pyannote[1259].start 7573.63221875
transcript.pyannote[1259].end 7573.66596875
transcript.pyannote[1260].speaker SPEAKER_02
transcript.pyannote[1260].start 7573.66596875
transcript.pyannote[1260].end 7573.69971875
transcript.pyannote[1261].speaker SPEAKER_25
transcript.pyannote[1261].start 7573.69971875
transcript.pyannote[1261].end 7573.91909375
transcript.pyannote[1262].speaker SPEAKER_02
transcript.pyannote[1262].start 7573.91909375
transcript.pyannote[1262].end 7573.96971875
transcript.pyannote[1263].speaker SPEAKER_25
transcript.pyannote[1263].start 7573.96971875
transcript.pyannote[1263].end 7574.07096875
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 7574.07096875
transcript.pyannote[1264].end 7574.18909375
transcript.pyannote[1265].speaker SPEAKER_25
transcript.pyannote[1265].start 7574.18909375
transcript.pyannote[1265].end 7574.29034375
transcript.pyannote[1266].speaker SPEAKER_02
transcript.pyannote[1266].start 7574.29034375
transcript.pyannote[1266].end 7574.96534375
transcript.pyannote[1267].speaker SPEAKER_25
transcript.pyannote[1267].start 7574.96534375
transcript.pyannote[1267].end 7593.89909375
transcript.pyannote[1268].speaker SPEAKER_02
transcript.pyannote[1268].start 7592.46471875
transcript.pyannote[1268].end 7596.97034375
transcript.pyannote[1269].speaker SPEAKER_25
transcript.pyannote[1269].start 7593.91596875
transcript.pyannote[1269].end 7593.93284375
transcript.pyannote[1270].speaker SPEAKER_25
transcript.pyannote[1270].start 7594.20284375
transcript.pyannote[1270].end 7594.62471875
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 7597.39221875
transcript.pyannote[1271].end 7604.88471875
transcript.pyannote[1272].speaker SPEAKER_00
transcript.pyannote[1272].start 7601.47596875
transcript.pyannote[1272].end 7601.77971875
transcript.pyannote[1273].speaker SPEAKER_00
transcript.pyannote[1273].start 7602.72471875
transcript.pyannote[1273].end 7603.04534375
transcript.pyannote[1274].speaker SPEAKER_02
transcript.pyannote[1274].start 7604.96909375
transcript.pyannote[1274].end 7612.39409375
transcript.pyannote[1275].speaker SPEAKER_02
transcript.pyannote[1275].start 7612.74846875
transcript.pyannote[1275].end 7616.03909375
transcript.pyannote[1276].speaker SPEAKER_22
transcript.pyannote[1276].start 7616.03909375
transcript.pyannote[1276].end 7642.51596875
transcript.pyannote[1277].speaker SPEAKER_22
transcript.pyannote[1277].start 7642.66784375
transcript.pyannote[1277].end 7654.96971875
transcript.pyannote[1278].speaker SPEAKER_02
transcript.pyannote[1278].start 7654.96971875
transcript.pyannote[1278].end 7661.06159375
transcript.pyannote[1279].speaker SPEAKER_02
transcript.pyannote[1279].start 7661.44971875
transcript.pyannote[1279].end 7662.32721875
transcript.pyannote[1280].speaker SPEAKER_02
transcript.pyannote[1280].start 7662.93471875
transcript.pyannote[1280].end 7664.28471875
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 7664.45346875
transcript.pyannote[1281].end 7667.44034375
transcript.pyannote[1282].speaker SPEAKER_18
transcript.pyannote[1282].start 7664.55471875
transcript.pyannote[1282].end 7664.70659375
transcript.pyannote[1283].speaker SPEAKER_18
transcript.pyannote[1283].start 7664.72346875
transcript.pyannote[1283].end 7664.75721875
transcript.pyannote[1284].speaker SPEAKER_02
transcript.pyannote[1284].start 7668.13221875
transcript.pyannote[1284].end 7672.85721875
transcript.pyannote[1285].speaker SPEAKER_02
transcript.pyannote[1285].start 7673.34659375
transcript.pyannote[1285].end 7675.30409375
transcript.pyannote[1286].speaker SPEAKER_22
transcript.pyannote[1286].start 7673.36346875
transcript.pyannote[1286].end 7673.83596875
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 7674.76409375
transcript.pyannote[1287].end 7696.88721875
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 7696.16159375
transcript.pyannote[1288].end 7712.54721875
transcript.pyannote[1289].speaker SPEAKER_22
transcript.pyannote[1289].start 7698.06846875
transcript.pyannote[1289].end 7699.09784375
transcript.pyannote[1290].speaker SPEAKER_22
transcript.pyannote[1290].start 7703.75534375
transcript.pyannote[1290].end 7703.97471875
transcript.pyannote[1291].speaker SPEAKER_00
transcript.pyannote[1291].start 7703.97471875
transcript.pyannote[1291].end 7704.46409375
transcript.pyannote[1292].speaker SPEAKER_00
transcript.pyannote[1292].start 7706.80971875
transcript.pyannote[1292].end 7707.13034375
transcript.pyannote[1293].speaker SPEAKER_02
transcript.pyannote[1293].start 7713.03659375
transcript.pyannote[1293].end 7713.54284375
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 7714.01534375
transcript.pyannote[1294].end 7716.02346875
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 7716.02346875
transcript.pyannote[1295].end 7723.81971875
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 7719.49971875
transcript.pyannote[1296].end 7728.79784375
transcript.pyannote[1297].speaker SPEAKER_22
transcript.pyannote[1297].start 7724.81534375
transcript.pyannote[1297].end 7725.96284375
transcript.pyannote[1298].speaker SPEAKER_25
transcript.pyannote[1298].start 7725.96284375
transcript.pyannote[1298].end 7726.23284375
transcript.pyannote[1299].speaker SPEAKER_22
transcript.pyannote[1299].start 7728.00471875
transcript.pyannote[1299].end 7728.02159375
transcript.pyannote[1300].speaker SPEAKER_25
transcript.pyannote[1300].start 7728.02159375
transcript.pyannote[1300].end 7749.21659375
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 7738.29846875
transcript.pyannote[1301].end 7739.46284375
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 7747.36034375
transcript.pyannote[1302].end 7747.54596875
transcript.pyannote[1303].speaker SPEAKER_25
transcript.pyannote[1303].start 7750.09409375
transcript.pyannote[1303].end 7750.92096875
transcript.pyannote[1304].speaker SPEAKER_25
transcript.pyannote[1304].start 7751.61284375
transcript.pyannote[1304].end 7755.52784375
transcript.pyannote[1305].speaker SPEAKER_02
transcript.pyannote[1305].start 7754.73471875
transcript.pyannote[1305].end 7765.12971875
transcript.pyannote[1306].speaker SPEAKER_25
transcript.pyannote[1306].start 7757.11409375
transcript.pyannote[1306].end 7759.03784375
transcript.pyannote[1307].speaker SPEAKER_22
transcript.pyannote[1307].start 7762.80096875
transcript.pyannote[1307].end 7763.39159375
transcript.pyannote[1308].speaker SPEAKER_22
transcript.pyannote[1308].start 7765.66971875
transcript.pyannote[1308].end 7773.97221875
transcript.pyannote[1309].speaker SPEAKER_25
transcript.pyannote[1309].start 7773.71909375
transcript.pyannote[1309].end 7773.73596875
transcript.pyannote[1310].speaker SPEAKER_02
transcript.pyannote[1310].start 7773.73596875
transcript.pyannote[1310].end 7778.68034375
transcript.pyannote[1311].speaker SPEAKER_25
transcript.pyannote[1311].start 7773.97221875
transcript.pyannote[1311].end 7774.15784375
transcript.pyannote[1312].speaker SPEAKER_25
transcript.pyannote[1312].start 7778.68034375
transcript.pyannote[1312].end 7787.13471875
transcript.pyannote[1313].speaker SPEAKER_02
transcript.pyannote[1313].start 7778.73096875
transcript.pyannote[1313].end 7779.65909375
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 7786.10534375
transcript.pyannote[1314].end 7790.12159375
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 7790.52659375
transcript.pyannote[1315].end 7791.30284375
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 7791.74159375
transcript.pyannote[1316].end 7793.76659375
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 7794.01971875
transcript.pyannote[1317].end 7799.11596875
transcript.pyannote[1318].speaker SPEAKER_25
transcript.pyannote[1318].start 7799.11596875
transcript.pyannote[1318].end 7799.53784375
transcript.pyannote[1319].speaker SPEAKER_02
transcript.pyannote[1319].start 7799.14971875
transcript.pyannote[1319].end 7799.43659375
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 7799.53784375
transcript.pyannote[1320].end 7799.97659375
transcript.pyannote[1321].speaker SPEAKER_25
transcript.pyannote[1321].start 7799.97659375
transcript.pyannote[1321].end 7812.02534375
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 7812.02534375
transcript.pyannote[1322].end 7812.29534375
transcript.pyannote[1323].speaker SPEAKER_25
transcript.pyannote[1323].start 7812.27846875
transcript.pyannote[1323].end 7812.68346875
transcript.pyannote[1324].speaker SPEAKER_22
transcript.pyannote[1324].start 7812.29534375
transcript.pyannote[1324].end 7812.53159375
transcript.pyannote[1325].speaker SPEAKER_02
transcript.pyannote[1325].start 7812.53159375
transcript.pyannote[1325].end 7838.16471875
transcript.pyannote[1326].speaker SPEAKER_22
transcript.pyannote[1326].start 7820.76659375
transcript.pyannote[1326].end 7821.20534375
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 7838.23221875
transcript.pyannote[1327].end 7841.16846875
transcript.pyannote[1328].speaker SPEAKER_25
transcript.pyannote[1328].start 7838.90721875
transcript.pyannote[1328].end 7840.35846875
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 7841.20221875
transcript.pyannote[1329].end 7842.83909375
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 7843.93596875
transcript.pyannote[1330].end 7845.06659375
transcript.pyannote[1331].speaker SPEAKER_02
transcript.pyannote[1331].start 7845.87659375
transcript.pyannote[1331].end 7847.00721875
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 7848.08721875
transcript.pyannote[1332].end 7848.12096875
transcript.pyannote[1333].speaker SPEAKER_25
transcript.pyannote[1333].start 7848.12096875
transcript.pyannote[1333].end 7856.96346875
transcript.pyannote[1334].speaker SPEAKER_25
transcript.pyannote[1334].start 7857.87471875
transcript.pyannote[1334].end 7870.98659375
transcript.pyannote[1335].speaker SPEAKER_25
transcript.pyannote[1335].start 7871.27346875
transcript.pyannote[1335].end 7882.02284375
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 7882.02284375
transcript.pyannote[1336].end 7888.31721875
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 7888.55346875
transcript.pyannote[1337].end 7890.89909375
transcript.pyannote[1338].speaker SPEAKER_02
transcript.pyannote[1338].start 7891.47284375
transcript.pyannote[1338].end 7891.92846875
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 7892.23221875
transcript.pyannote[1339].end 7894.24034375
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 7894.89846875
transcript.pyannote[1340].end 7897.91909375
transcript.pyannote[1341].speaker SPEAKER_25
transcript.pyannote[1341].start 7897.91909375
transcript.pyannote[1341].end 7903.82534375
transcript.pyannote[1342].speaker SPEAKER_25
transcript.pyannote[1342].start 7904.23034375
transcript.pyannote[1342].end 7904.24721875
transcript.pyannote[1343].speaker SPEAKER_02
transcript.pyannote[1343].start 7904.24721875
transcript.pyannote[1343].end 7905.14159375
transcript.pyannote[1344].speaker SPEAKER_25
transcript.pyannote[1344].start 7905.61409375
transcript.pyannote[1344].end 7905.63096875
transcript.pyannote[1345].speaker SPEAKER_02
transcript.pyannote[1345].start 7905.63096875
transcript.pyannote[1345].end 7906.84596875
transcript.pyannote[1346].speaker SPEAKER_02
transcript.pyannote[1346].start 7907.94284375
transcript.pyannote[1346].end 7910.15346875
transcript.pyannote[1347].speaker SPEAKER_02
transcript.pyannote[1347].start 7910.71034375
transcript.pyannote[1347].end 7912.54971875
transcript.pyannote[1348].speaker SPEAKER_02
transcript.pyannote[1348].start 7913.17409375
transcript.pyannote[1348].end 7919.97471875
transcript.pyannote[1349].speaker SPEAKER_25
transcript.pyannote[1349].start 7919.97471875
transcript.pyannote[1349].end 7940.39346875
transcript.pyannote[1350].speaker SPEAKER_17
transcript.pyannote[1350].start 7930.43721875
transcript.pyannote[1350].end 7930.45409375
transcript.pyannote[1351].speaker SPEAKER_24
transcript.pyannote[1351].start 7930.45409375
transcript.pyannote[1351].end 7931.73659375
transcript.pyannote[1352].speaker SPEAKER_02
transcript.pyannote[1352].start 7931.73659375
transcript.pyannote[1352].end 7931.77034375
transcript.pyannote[1353].speaker SPEAKER_17
transcript.pyannote[1353].start 7931.77034375
transcript.pyannote[1353].end 7931.80409375
transcript.pyannote[1354].speaker SPEAKER_02
transcript.pyannote[1354].start 7940.39346875
transcript.pyannote[1354].end 7940.96721875
transcript.pyannote[1355].speaker SPEAKER_25
transcript.pyannote[1355].start 7940.96721875
transcript.pyannote[1355].end 7941.03471875
transcript.pyannote[1356].speaker SPEAKER_02
transcript.pyannote[1356].start 7941.03471875
transcript.pyannote[1356].end 7941.13596875
transcript.pyannote[1357].speaker SPEAKER_25
transcript.pyannote[1357].start 7941.13596875
transcript.pyannote[1357].end 7941.15284375
transcript.pyannote[1358].speaker SPEAKER_02
transcript.pyannote[1358].start 7941.15284375
transcript.pyannote[1358].end 7941.20346875
transcript.pyannote[1359].speaker SPEAKER_25
transcript.pyannote[1359].start 7941.40596875
transcript.pyannote[1359].end 7941.49034375
transcript.pyannote[1360].speaker SPEAKER_02
transcript.pyannote[1360].start 7941.49034375
transcript.pyannote[1360].end 7941.57471875
transcript.pyannote[1361].speaker SPEAKER_25
transcript.pyannote[1361].start 7941.57471875
transcript.pyannote[1361].end 7941.60846875
transcript.pyannote[1362].speaker SPEAKER_02
transcript.pyannote[1362].start 7941.60846875
transcript.pyannote[1362].end 7941.86159375
transcript.pyannote[1363].speaker SPEAKER_25
transcript.pyannote[1363].start 7941.86159375
transcript.pyannote[1363].end 7942.03034375
transcript.pyannote[1364].speaker SPEAKER_02
transcript.pyannote[1364].start 7942.03034375
transcript.pyannote[1364].end 7943.31284375
transcript.pyannote[1365].speaker SPEAKER_02
transcript.pyannote[1365].start 7944.24096875
transcript.pyannote[1365].end 7954.12971875
transcript.pyannote[1366].speaker SPEAKER_25
transcript.pyannote[1366].start 7944.46034375
transcript.pyannote[1366].end 7944.73034375
transcript.pyannote[1367].speaker SPEAKER_02
transcript.pyannote[1367].start 7954.39971875
transcript.pyannote[1367].end 7954.97346875
transcript.pyannote[1368].speaker SPEAKER_25
transcript.pyannote[1368].start 7954.97346875
transcript.pyannote[1368].end 7970.02596875
transcript.pyannote[1369].speaker SPEAKER_25
transcript.pyannote[1369].start 7970.32971875
transcript.pyannote[1369].end 7976.18534375
transcript.pyannote[1370].speaker SPEAKER_02
transcript.pyannote[1370].start 7972.65846875
transcript.pyannote[1370].end 7973.16471875
transcript.pyannote[1371].speaker SPEAKER_02
transcript.pyannote[1371].start 7974.53159375
transcript.pyannote[1371].end 7976.57346875
transcript.pyannote[1372].speaker SPEAKER_25
transcript.pyannote[1372].start 7976.55659375
transcript.pyannote[1372].end 7980.03284375
transcript.pyannote[1373].speaker SPEAKER_02
transcript.pyannote[1373].start 7980.03284375
transcript.pyannote[1373].end 7980.77534375
transcript.pyannote[1374].speaker SPEAKER_25
transcript.pyannote[1374].start 7980.77534375
transcript.pyannote[1374].end 7980.79221875
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 7981.36596875
transcript.pyannote[1375].end 7982.95221875
transcript.pyannote[1376].speaker SPEAKER_02
transcript.pyannote[1376].start 7983.03659375
transcript.pyannote[1376].end 7984.60596875
transcript.pyannote[1377].speaker SPEAKER_25
transcript.pyannote[1377].start 7984.60596875
transcript.pyannote[1377].end 7984.65659375
transcript.pyannote[1378].speaker SPEAKER_02
transcript.pyannote[1378].start 7984.85909375
transcript.pyannote[1378].end 7986.02346875
transcript.pyannote[1379].speaker SPEAKER_25
transcript.pyannote[1379].start 7986.02346875
transcript.pyannote[1379].end 7986.09096875
transcript.pyannote[1380].speaker SPEAKER_02
transcript.pyannote[1380].start 7986.31034375
transcript.pyannote[1380].end 7986.32721875
transcript.pyannote[1381].speaker SPEAKER_25
transcript.pyannote[1381].start 7986.32721875
transcript.pyannote[1381].end 7990.74846875
transcript.pyannote[1382].speaker SPEAKER_02
transcript.pyannote[1382].start 7986.34409375
transcript.pyannote[1382].end 7987.06971875
transcript.pyannote[1383].speaker SPEAKER_02
transcript.pyannote[1383].start 7989.66846875
transcript.pyannote[1383].end 7990.09034375
transcript.pyannote[1384].speaker SPEAKER_25
transcript.pyannote[1384].start 7990.81596875
transcript.pyannote[1384].end 7992.26721875
transcript.pyannote[1385].speaker SPEAKER_25
transcript.pyannote[1385].start 7992.95909375
transcript.pyannote[1385].end 7993.98846875
transcript.pyannote[1386].speaker SPEAKER_02
transcript.pyannote[1386].start 7993.98846875
transcript.pyannote[1386].end 7994.00534375
transcript.pyannote[1387].speaker SPEAKER_25
transcript.pyannote[1387].start 7994.69721875
transcript.pyannote[1387].end 7995.03471875
transcript.pyannote[1388].speaker SPEAKER_02
transcript.pyannote[1388].start 7995.03471875
transcript.pyannote[1388].end 7996.48596875
transcript.pyannote[1389].speaker SPEAKER_02
transcript.pyannote[1389].start 7996.82346875
transcript.pyannote[1389].end 7997.41409375
transcript.pyannote[1390].speaker SPEAKER_02
transcript.pyannote[1390].start 7998.27471875
transcript.pyannote[1390].end 8001.81846875
transcript.pyannote[1391].speaker SPEAKER_02
transcript.pyannote[1391].start 8002.91534375
transcript.pyannote[1391].end 8005.44659375
transcript.pyannote[1392].speaker SPEAKER_02
transcript.pyannote[1392].start 8005.95284375
transcript.pyannote[1392].end 8008.66971875
transcript.pyannote[1393].speaker SPEAKER_02
transcript.pyannote[1393].start 8009.66534375
transcript.pyannote[1393].end 8024.97096875
transcript.pyannote[1394].speaker SPEAKER_00
transcript.pyannote[1394].start 8010.84659375
transcript.pyannote[1394].end 8011.58909375
transcript.pyannote[1395].speaker SPEAKER_25
transcript.pyannote[1395].start 8024.97096875
transcript.pyannote[1395].end 8031.70409375
transcript.pyannote[1396].speaker SPEAKER_25
transcript.pyannote[1396].start 8031.77159375
transcript.pyannote[1396].end 8032.49721875
transcript.pyannote[1397].speaker SPEAKER_25
transcript.pyannote[1397].start 8032.59846875
transcript.pyannote[1397].end 8040.63096875
transcript.pyannote[1398].speaker SPEAKER_25
transcript.pyannote[1398].start 8040.76596875
transcript.pyannote[1398].end 8041.82909375
transcript.pyannote[1399].speaker SPEAKER_25
transcript.pyannote[1399].start 8042.33534375
transcript.pyannote[1399].end 8049.25409375
transcript.pyannote[1400].speaker SPEAKER_02
transcript.pyannote[1400].start 8044.32659375
transcript.pyannote[1400].end 8044.59659375
transcript.pyannote[1401].speaker SPEAKER_25
transcript.pyannote[1401].start 8049.70971875
transcript.pyannote[1401].end 8050.36784375
transcript.pyannote[1402].speaker SPEAKER_25
transcript.pyannote[1402].start 8050.50284375
transcript.pyannote[1402].end 8051.81909375
transcript.pyannote[1403].speaker SPEAKER_05
transcript.pyannote[1403].start 8055.16034375
transcript.pyannote[1403].end 8059.34534375
transcript.pyannote[1404].speaker SPEAKER_13
transcript.pyannote[1404].start 8071.69784375
transcript.pyannote[1404].end 8073.87471875
transcript.pyannote[1405].speaker SPEAKER_05
transcript.pyannote[1405].start 8075.39346875
transcript.pyannote[1405].end 8076.35534375
transcript.pyannote[1406].speaker SPEAKER_13
transcript.pyannote[1406].start 8082.32909375
transcript.pyannote[1406].end 8120.29784375
transcript.pyannote[1407].speaker SPEAKER_00
transcript.pyannote[1407].start 8115.96096875
transcript.pyannote[1407].end 8116.04534375
transcript.pyannote[1408].speaker SPEAKER_18
transcript.pyannote[1408].start 8116.04534375
transcript.pyannote[1408].end 8116.50096875
transcript.pyannote[1409].speaker SPEAKER_13
transcript.pyannote[1409].start 8120.70284375
transcript.pyannote[1409].end 8129.56221875
transcript.pyannote[1410].speaker SPEAKER_13
transcript.pyannote[1410].start 8130.49034375
transcript.pyannote[1410].end 8142.35346875
transcript.pyannote[1411].speaker SPEAKER_13
transcript.pyannote[1411].start 8142.91034375
transcript.pyannote[1411].end 8144.90159375
transcript.pyannote[1412].speaker SPEAKER_25
transcript.pyannote[1412].start 8145.35721875
transcript.pyannote[1412].end 8152.54596875
transcript.pyannote[1413].speaker SPEAKER_25
transcript.pyannote[1413].start 8152.64721875
transcript.pyannote[1413].end 8162.06346875
transcript.pyannote[1414].speaker SPEAKER_25
transcript.pyannote[1414].start 8162.29971875
transcript.pyannote[1414].end 8164.39221875
transcript.pyannote[1415].speaker SPEAKER_25
transcript.pyannote[1415].start 8164.88159375
transcript.pyannote[1415].end 8165.75909375
transcript.pyannote[1416].speaker SPEAKER_25
transcript.pyannote[1416].start 8166.18096875
transcript.pyannote[1416].end 8181.06471875
transcript.pyannote[1417].speaker SPEAKER_25
transcript.pyannote[1417].start 8181.33471875
transcript.pyannote[1417].end 8187.47721875
transcript.pyannote[1418].speaker SPEAKER_13
transcript.pyannote[1418].start 8188.27034375
transcript.pyannote[1418].end 8188.69221875
transcript.pyannote[1419].speaker SPEAKER_13
transcript.pyannote[1419].start 8189.18159375
transcript.pyannote[1419].end 8189.67096875
transcript.pyannote[1420].speaker SPEAKER_13
transcript.pyannote[1420].start 8190.02534375
transcript.pyannote[1420].end 8191.86471875
transcript.pyannote[1421].speaker SPEAKER_13
transcript.pyannote[1421].start 8192.30346875
transcript.pyannote[1421].end 8208.26721875
transcript.pyannote[1422].speaker SPEAKER_24
transcript.pyannote[1422].start 8198.61471875
transcript.pyannote[1422].end 8199.96471875
transcript.pyannote[1423].speaker SPEAKER_00
transcript.pyannote[1423].start 8199.96471875
transcript.pyannote[1423].end 8200.03221875
transcript.pyannote[1424].speaker SPEAKER_25
transcript.pyannote[1424].start 8200.03221875
transcript.pyannote[1424].end 8201.34846875
transcript.pyannote[1425].speaker SPEAKER_25
transcript.pyannote[1425].start 8201.58471875
transcript.pyannote[1425].end 8202.68159375
transcript.pyannote[1426].speaker SPEAKER_25
transcript.pyannote[1426].start 8209.07721875
transcript.pyannote[1426].end 8212.97534375
transcript.pyannote[1427].speaker SPEAKER_13
transcript.pyannote[1427].start 8212.35096875
transcript.pyannote[1427].end 8214.02159375
transcript.pyannote[1428].speaker SPEAKER_25
transcript.pyannote[1428].start 8213.09346875
transcript.pyannote[1428].end 8213.85284375
transcript.pyannote[1429].speaker SPEAKER_25
transcript.pyannote[1429].start 8214.17346875
transcript.pyannote[1429].end 8214.62909375
transcript.pyannote[1430].speaker SPEAKER_13
transcript.pyannote[1430].start 8214.62909375
transcript.pyannote[1430].end 8218.54409375
transcript.pyannote[1431].speaker SPEAKER_13
transcript.pyannote[1431].start 8219.08409375
transcript.pyannote[1431].end 8219.53971875
transcript.pyannote[1432].speaker SPEAKER_25
transcript.pyannote[1432].start 8219.67471875
transcript.pyannote[1432].end 8221.58159375
transcript.pyannote[1433].speaker SPEAKER_13
transcript.pyannote[1433].start 8220.55221875
transcript.pyannote[1433].end 8224.09596875
transcript.pyannote[1434].speaker SPEAKER_13
transcript.pyannote[1434].start 8224.24784375
transcript.pyannote[1434].end 8227.06596875
transcript.pyannote[1435].speaker SPEAKER_13
transcript.pyannote[1435].start 8227.20096875
transcript.pyannote[1435].end 8229.22596875
transcript.pyannote[1436].speaker SPEAKER_13
transcript.pyannote[1436].start 8229.47909375
transcript.pyannote[1436].end 8232.76971875
transcript.pyannote[1437].speaker SPEAKER_25
transcript.pyannote[1437].start 8232.85409375
transcript.pyannote[1437].end 8242.57409375
transcript.pyannote[1438].speaker SPEAKER_18
transcript.pyannote[1438].start 8240.83596875
transcript.pyannote[1438].end 8240.85284375
transcript.pyannote[1439].speaker SPEAKER_18
transcript.pyannote[1439].start 8241.10596875
transcript.pyannote[1439].end 8241.19034375
transcript.pyannote[1440].speaker SPEAKER_25
transcript.pyannote[1440].start 8242.94534375
transcript.pyannote[1440].end 8247.70409375
transcript.pyannote[1441].speaker SPEAKER_25
transcript.pyannote[1441].start 8248.21034375
transcript.pyannote[1441].end 8261.87909375
transcript.pyannote[1442].speaker SPEAKER_25
transcript.pyannote[1442].start 8262.23346875
transcript.pyannote[1442].end 8265.38909375
transcript.pyannote[1443].speaker SPEAKER_13
transcript.pyannote[1443].start 8264.22471875
transcript.pyannote[1443].end 8264.25846875
transcript.pyannote[1444].speaker SPEAKER_13
transcript.pyannote[1444].start 8264.27534375
transcript.pyannote[1444].end 8264.34284375
transcript.pyannote[1445].speaker SPEAKER_13
transcript.pyannote[1445].start 8265.38909375
transcript.pyannote[1445].end 8273.20221875
transcript.pyannote[1446].speaker SPEAKER_25
transcript.pyannote[1446].start 8272.66221875
transcript.pyannote[1446].end 8273.62409375
transcript.pyannote[1447].speaker SPEAKER_13
transcript.pyannote[1447].start 8273.62409375
transcript.pyannote[1447].end 8289.38534375
transcript.pyannote[1448].speaker SPEAKER_25
transcript.pyannote[1448].start 8279.63159375
transcript.pyannote[1448].end 8279.64846875
transcript.pyannote[1449].speaker SPEAKER_18
transcript.pyannote[1449].start 8279.64846875
transcript.pyannote[1449].end 8280.10409375
transcript.pyannote[1450].speaker SPEAKER_18
transcript.pyannote[1450].start 8280.64409375
transcript.pyannote[1450].end 8280.89721875
transcript.pyannote[1451].speaker SPEAKER_00
transcript.pyannote[1451].start 8289.01409375
transcript.pyannote[1451].end 8289.14909375
transcript.pyannote[1452].speaker SPEAKER_13
transcript.pyannote[1452].start 8289.57096875
transcript.pyannote[1452].end 8309.09534375
transcript.pyannote[1453].speaker SPEAKER_25
transcript.pyannote[1453].start 8308.58909375
transcript.pyannote[1453].end 8320.80659375
transcript.pyannote[1454].speaker SPEAKER_13
transcript.pyannote[1454].start 8309.12909375
transcript.pyannote[1454].end 8309.23034375
transcript.pyannote[1455].speaker SPEAKER_18
transcript.pyannote[1455].start 8314.05659375
transcript.pyannote[1455].end 8314.07346875
transcript.pyannote[1456].speaker SPEAKER_13
transcript.pyannote[1456].start 8314.07346875
transcript.pyannote[1456].end 8314.10721875
transcript.pyannote[1457].speaker SPEAKER_18
transcript.pyannote[1457].start 8314.10721875
transcript.pyannote[1457].end 8314.15784375
transcript.pyannote[1458].speaker SPEAKER_13
transcript.pyannote[1458].start 8314.15784375
transcript.pyannote[1458].end 8314.17471875
transcript.pyannote[1459].speaker SPEAKER_18
transcript.pyannote[1459].start 8314.17471875
transcript.pyannote[1459].end 8314.41096875
transcript.pyannote[1460].speaker SPEAKER_18
transcript.pyannote[1460].start 8317.46534375
transcript.pyannote[1460].end 8317.49909375
transcript.pyannote[1461].speaker SPEAKER_16
transcript.pyannote[1461].start 8317.49909375
transcript.pyannote[1461].end 8318.17409375
transcript.pyannote[1462].speaker SPEAKER_16
transcript.pyannote[1462].start 8320.67159375
transcript.pyannote[1462].end 8320.97534375
transcript.pyannote[1463].speaker SPEAKER_25
transcript.pyannote[1463].start 8320.89096875
transcript.pyannote[1463].end 8322.89909375
transcript.pyannote[1464].speaker SPEAKER_25
transcript.pyannote[1464].start 8323.27034375
transcript.pyannote[1464].end 8332.34909375
transcript.pyannote[1465].speaker SPEAKER_16
transcript.pyannote[1465].start 8332.31534375
transcript.pyannote[1465].end 8332.78784375
transcript.pyannote[1466].speaker SPEAKER_25
transcript.pyannote[1466].start 8332.70346875
transcript.pyannote[1466].end 8344.63409375
transcript.pyannote[1467].speaker SPEAKER_13
transcript.pyannote[1467].start 8344.68471875
transcript.pyannote[1467].end 8345.56221875
transcript.pyannote[1468].speaker SPEAKER_13
transcript.pyannote[1468].start 8346.05159375
transcript.pyannote[1468].end 8348.88659375
transcript.pyannote[1469].speaker SPEAKER_25
transcript.pyannote[1469].start 8349.22409375
transcript.pyannote[1469].end 8349.56159375
transcript.pyannote[1470].speaker SPEAKER_13
transcript.pyannote[1470].start 8349.56159375
transcript.pyannote[1470].end 8351.70471875
transcript.pyannote[1471].speaker SPEAKER_25
transcript.pyannote[1471].start 8351.70471875
transcript.pyannote[1471].end 8379.14346875
transcript.pyannote[1472].speaker SPEAKER_13
transcript.pyannote[1472].start 8378.62034375
transcript.pyannote[1472].end 8382.18096875
transcript.pyannote[1473].speaker SPEAKER_25
transcript.pyannote[1473].start 8381.96159375
transcript.pyannote[1473].end 8382.41721875
transcript.pyannote[1474].speaker SPEAKER_13
transcript.pyannote[1474].start 8382.26534375
transcript.pyannote[1474].end 8386.78784375
transcript.pyannote[1475].speaker SPEAKER_25
transcript.pyannote[1475].start 8386.85534375
transcript.pyannote[1475].end 8387.31096875
transcript.pyannote[1476].speaker SPEAKER_25
transcript.pyannote[1476].start 8387.68221875
transcript.pyannote[1476].end 8410.22721875
transcript.pyannote[1477].speaker SPEAKER_00
transcript.pyannote[1477].start 8400.28784375
transcript.pyannote[1477].end 8400.35534375
transcript.pyannote[1478].speaker SPEAKER_18
transcript.pyannote[1478].start 8400.35534375
transcript.pyannote[1478].end 8400.40596875
transcript.pyannote[1479].speaker SPEAKER_00
transcript.pyannote[1479].start 8400.40596875
transcript.pyannote[1479].end 8400.42284375
transcript.pyannote[1480].speaker SPEAKER_18
transcript.pyannote[1480].start 8401.23284375
transcript.pyannote[1480].end 8401.31721875
transcript.pyannote[1481].speaker SPEAKER_13
transcript.pyannote[1481].start 8401.31721875
transcript.pyannote[1481].end 8401.65471875
transcript.pyannote[1482].speaker SPEAKER_18
transcript.pyannote[1482].start 8401.65471875
transcript.pyannote[1482].end 8401.70534375
transcript.pyannote[1483].speaker SPEAKER_13
transcript.pyannote[1483].start 8409.21471875
transcript.pyannote[1483].end 8411.23971875
transcript.pyannote[1484].speaker SPEAKER_25
transcript.pyannote[1484].start 8410.83471875
transcript.pyannote[1484].end 8415.62721875
transcript.pyannote[1485].speaker SPEAKER_13
transcript.pyannote[1485].start 8414.54721875
transcript.pyannote[1485].end 8414.98596875
transcript.pyannote[1486].speaker SPEAKER_25
transcript.pyannote[1486].start 8416.26846875
transcript.pyannote[1486].end 8417.48346875
transcript.pyannote[1487].speaker SPEAKER_13
transcript.pyannote[1487].start 8417.16284375
transcript.pyannote[1487].end 8418.15846875
transcript.pyannote[1488].speaker SPEAKER_25
transcript.pyannote[1488].start 8417.82096875
transcript.pyannote[1488].end 8427.89534375
transcript.pyannote[1489].speaker SPEAKER_13
transcript.pyannote[1489].start 8427.27096875
transcript.pyannote[1489].end 8427.76034375
transcript.pyannote[1490].speaker SPEAKER_13
transcript.pyannote[1490].start 8427.96284375
transcript.pyannote[1490].end 8436.53534375
transcript.pyannote[1491].speaker SPEAKER_25
transcript.pyannote[1491].start 8429.38034375
transcript.pyannote[1491].end 8429.75159375
transcript.pyannote[1492].speaker SPEAKER_25
transcript.pyannote[1492].start 8431.70909375
transcript.pyannote[1492].end 8434.91534375
transcript.pyannote[1493].speaker SPEAKER_25
transcript.pyannote[1493].start 8435.99534375
transcript.pyannote[1493].end 8438.08784375
transcript.pyannote[1494].speaker SPEAKER_13
transcript.pyannote[1494].start 8437.95284375
transcript.pyannote[1494].end 8443.79159375
transcript.pyannote[1495].speaker SPEAKER_13
transcript.pyannote[1495].start 8444.31471875
transcript.pyannote[1495].end 8458.11846875
transcript.pyannote[1496].speaker SPEAKER_17
transcript.pyannote[1496].start 8448.73596875
transcript.pyannote[1496].end 8448.97221875
transcript.pyannote[1497].speaker SPEAKER_00
transcript.pyannote[1497].start 8448.97221875
transcript.pyannote[1497].end 8449.15784375
transcript.pyannote[1498].speaker SPEAKER_25
transcript.pyannote[1498].start 8459.33346875
transcript.pyannote[1498].end 8462.45534375
transcript.pyannote[1499].speaker SPEAKER_13
transcript.pyannote[1499].start 8461.93221875
transcript.pyannote[1499].end 8462.79284375
transcript.pyannote[1500].speaker SPEAKER_13
transcript.pyannote[1500].start 8463.55221875
transcript.pyannote[1500].end 8464.76721875
transcript.pyannote[1501].speaker SPEAKER_13
transcript.pyannote[1501].start 8465.00346875
transcript.pyannote[1501].end 8469.25596875
transcript.pyannote[1502].speaker SPEAKER_25
transcript.pyannote[1502].start 8465.03721875
transcript.pyannote[1502].end 8467.11284375
transcript.pyannote[1503].speaker SPEAKER_25
transcript.pyannote[1503].start 8467.75409375
transcript.pyannote[1503].end 8470.04909375
transcript.pyannote[1504].speaker SPEAKER_13
transcript.pyannote[1504].start 8470.04909375
transcript.pyannote[1504].end 8471.01096875
transcript.pyannote[1505].speaker SPEAKER_25
transcript.pyannote[1505].start 8470.47096875
transcript.pyannote[1505].end 8473.59284375
transcript.pyannote[1506].speaker SPEAKER_13
transcript.pyannote[1506].start 8472.98534375
transcript.pyannote[1506].end 8473.40721875
transcript.pyannote[1507].speaker SPEAKER_13
transcript.pyannote[1507].start 8473.67721875
transcript.pyannote[1507].end 8474.26784375
transcript.pyannote[1508].speaker SPEAKER_25
transcript.pyannote[1508].start 8474.55471875
transcript.pyannote[1508].end 8477.32221875
transcript.pyannote[1509].speaker SPEAKER_13
transcript.pyannote[1509].start 8477.76096875
transcript.pyannote[1509].end 8478.23346875
transcript.pyannote[1510].speaker SPEAKER_25
transcript.pyannote[1510].start 8477.91284375
transcript.pyannote[1510].end 8479.71846875
transcript.pyannote[1511].speaker SPEAKER_13
transcript.pyannote[1511].start 8479.90409375
transcript.pyannote[1511].end 8479.92096875
transcript.pyannote[1512].speaker SPEAKER_25
transcript.pyannote[1512].start 8479.92096875
transcript.pyannote[1512].end 8480.96721875
transcript.pyannote[1513].speaker SPEAKER_25
transcript.pyannote[1513].start 8481.86159375
transcript.pyannote[1513].end 8482.53659375
transcript.pyannote[1514].speaker SPEAKER_25
transcript.pyannote[1514].start 8483.17784375
transcript.pyannote[1514].end 8483.85284375
transcript.pyannote[1515].speaker SPEAKER_25
transcript.pyannote[1515].start 8484.54471875
transcript.pyannote[1515].end 8484.84846875
transcript.pyannote[1516].speaker SPEAKER_25
transcript.pyannote[1516].start 8486.08034375
transcript.pyannote[1516].end 8487.78471875
transcript.pyannote[1517].speaker SPEAKER_13
transcript.pyannote[1517].start 8488.96596875
transcript.pyannote[1517].end 8489.35409375
transcript.pyannote[1518].speaker SPEAKER_13
transcript.pyannote[1518].start 8489.67471875
transcript.pyannote[1518].end 8502.26346875
transcript.pyannote[1519].speaker SPEAKER_25
transcript.pyannote[1519].start 8492.67846875
transcript.pyannote[1519].end 8493.11721875
transcript.pyannote[1520].speaker SPEAKER_18
transcript.pyannote[1520].start 8502.78659375
transcript.pyannote[1520].end 8502.85409375
transcript.pyannote[1521].speaker SPEAKER_13
transcript.pyannote[1521].start 8502.85409375
transcript.pyannote[1521].end 8507.12346875
transcript.pyannote[1522].speaker SPEAKER_18
transcript.pyannote[1522].start 8502.87096875
transcript.pyannote[1522].end 8503.93409375
transcript.pyannote[1523].speaker SPEAKER_13
transcript.pyannote[1523].start 8507.74784375
transcript.pyannote[1523].end 8517.60284375
transcript.pyannote[1524].speaker SPEAKER_25
transcript.pyannote[1524].start 8517.60284375
transcript.pyannote[1524].end 8539.15221875
transcript.pyannote[1525].speaker SPEAKER_13
transcript.pyannote[1525].start 8539.23659375
transcript.pyannote[1525].end 8540.28284375
transcript.pyannote[1526].speaker SPEAKER_25
transcript.pyannote[1526].start 8540.28284375
transcript.pyannote[1526].end 8543.28659375
transcript.pyannote[1527].speaker SPEAKER_13
transcript.pyannote[1527].start 8541.48096875
transcript.pyannote[1527].end 8554.50846875
transcript.pyannote[1528].speaker SPEAKER_25
transcript.pyannote[1528].start 8544.90659375
transcript.pyannote[1528].end 8545.24409375
transcript.pyannote[1529].speaker SPEAKER_25
transcript.pyannote[1529].start 8550.39096875
transcript.pyannote[1529].end 8551.26846875
transcript.pyannote[1530].speaker SPEAKER_25
transcript.pyannote[1530].start 8552.50034375
transcript.pyannote[1530].end 8553.63096875
transcript.pyannote[1531].speaker SPEAKER_25
transcript.pyannote[1531].start 8553.90096875
transcript.pyannote[1531].end 8554.45784375
transcript.pyannote[1532].speaker SPEAKER_25
transcript.pyannote[1532].start 8554.50846875
transcript.pyannote[1532].end 8554.93034375
transcript.pyannote[1533].speaker SPEAKER_13
transcript.pyannote[1533].start 8554.93034375
transcript.pyannote[1533].end 8554.94721875
transcript.pyannote[1534].speaker SPEAKER_05
transcript.pyannote[1534].start 8557.20846875
transcript.pyannote[1534].end 8561.98409375
transcript.pyannote[1535].speaker SPEAKER_01
transcript.pyannote[1535].start 8569.79721875
transcript.pyannote[1535].end 8571.90659375
transcript.pyannote[1536].speaker SPEAKER_01
transcript.pyannote[1536].start 8572.53096875
transcript.pyannote[1536].end 8575.19721875
transcript.pyannote[1537].speaker SPEAKER_05
transcript.pyannote[1537].start 8576.47971875
transcript.pyannote[1537].end 8578.21784375
transcript.pyannote[1538].speaker SPEAKER_01
transcript.pyannote[1538].start 8581.52534375
transcript.pyannote[1538].end 8581.89659375
transcript.pyannote[1539].speaker SPEAKER_01
transcript.pyannote[1539].start 8582.06534375
transcript.pyannote[1539].end 8583.90471875
transcript.pyannote[1540].speaker SPEAKER_01
transcript.pyannote[1540].start 8584.42784375
transcript.pyannote[1540].end 8588.05596875
transcript.pyannote[1541].speaker SPEAKER_01
transcript.pyannote[1541].start 8588.51159375
transcript.pyannote[1541].end 8589.91221875
transcript.pyannote[1542].speaker SPEAKER_01
transcript.pyannote[1542].start 8589.96284375
transcript.pyannote[1542].end 8594.21534375
transcript.pyannote[1543].speaker SPEAKER_01
transcript.pyannote[1543].start 8594.72159375
transcript.pyannote[1543].end 8595.07596875
transcript.pyannote[1544].speaker SPEAKER_01
transcript.pyannote[1544].start 8595.61596875
transcript.pyannote[1544].end 8596.67909375
transcript.pyannote[1545].speaker SPEAKER_01
transcript.pyannote[1545].start 8596.98284375
transcript.pyannote[1545].end 8599.88534375
transcript.pyannote[1546].speaker SPEAKER_14
transcript.pyannote[1546].start 8599.88534375
transcript.pyannote[1546].end 8599.96971875
transcript.pyannote[1547].speaker SPEAKER_01
transcript.pyannote[1547].start 8599.96971875
transcript.pyannote[1547].end 8599.98659375
transcript.pyannote[1548].speaker SPEAKER_01
transcript.pyannote[1548].start 8600.71221875
transcript.pyannote[1548].end 8606.33159375
transcript.pyannote[1549].speaker SPEAKER_14
transcript.pyannote[1549].start 8603.29409375
transcript.pyannote[1549].end 8603.85096875
transcript.pyannote[1550].speaker SPEAKER_01
transcript.pyannote[1550].start 8606.65221875
transcript.pyannote[1550].end 8608.22159375
transcript.pyannote[1551].speaker SPEAKER_01
transcript.pyannote[1551].start 8608.44096875
transcript.pyannote[1551].end 8609.75721875
transcript.pyannote[1552].speaker SPEAKER_01
transcript.pyannote[1552].start 8610.14534375
transcript.pyannote[1552].end 8610.83721875
transcript.pyannote[1553].speaker SPEAKER_25
transcript.pyannote[1553].start 8611.84971875
transcript.pyannote[1553].end 8612.64284375
transcript.pyannote[1554].speaker SPEAKER_25
transcript.pyannote[1554].start 8613.68909375
transcript.pyannote[1554].end 8615.03909375
transcript.pyannote[1555].speaker SPEAKER_01
transcript.pyannote[1555].start 8615.03909375
transcript.pyannote[1555].end 8617.24971875
transcript.pyannote[1556].speaker SPEAKER_01
transcript.pyannote[1556].start 8617.51971875
transcript.pyannote[1556].end 8624.06721875
transcript.pyannote[1557].speaker SPEAKER_25
transcript.pyannote[1557].start 8624.06721875
transcript.pyannote[1557].end 8625.46784375
transcript.pyannote[1558].speaker SPEAKER_01
transcript.pyannote[1558].start 8626.09221875
transcript.pyannote[1558].end 8628.84284375
transcript.pyannote[1559].speaker SPEAKER_01
transcript.pyannote[1559].start 8629.26471875
transcript.pyannote[1559].end 8631.77909375
transcript.pyannote[1560].speaker SPEAKER_01
transcript.pyannote[1560].start 8632.60596875
transcript.pyannote[1560].end 8634.09096875
transcript.pyannote[1561].speaker SPEAKER_01
transcript.pyannote[1561].start 8634.58034375
transcript.pyannote[1561].end 8635.17096875
transcript.pyannote[1562].speaker SPEAKER_01
transcript.pyannote[1562].start 8636.14971875
transcript.pyannote[1562].end 8637.73596875
transcript.pyannote[1563].speaker SPEAKER_01
transcript.pyannote[1563].start 8637.85409375
transcript.pyannote[1563].end 8639.64284375
transcript.pyannote[1564].speaker SPEAKER_01
transcript.pyannote[1564].start 8640.21659375
transcript.pyannote[1564].end 8641.12784375
transcript.pyannote[1565].speaker SPEAKER_01
transcript.pyannote[1565].start 8641.63409375
transcript.pyannote[1565].end 8642.54534375
transcript.pyannote[1566].speaker SPEAKER_01
transcript.pyannote[1566].start 8643.20346875
transcript.pyannote[1566].end 8644.31721875
transcript.pyannote[1567].speaker SPEAKER_01
transcript.pyannote[1567].start 8644.99221875
transcript.pyannote[1567].end 8646.51096875
transcript.pyannote[1568].speaker SPEAKER_01
transcript.pyannote[1568].start 8647.28721875
transcript.pyannote[1568].end 8650.37534375
transcript.pyannote[1569].speaker SPEAKER_01
transcript.pyannote[1569].start 8650.84784375
transcript.pyannote[1569].end 8654.81346875
transcript.pyannote[1570].speaker SPEAKER_01
transcript.pyannote[1570].start 8655.50534375
transcript.pyannote[1570].end 8656.82159375
transcript.pyannote[1571].speaker SPEAKER_01
transcript.pyannote[1571].start 8656.97346875
transcript.pyannote[1571].end 8658.57659375
transcript.pyannote[1572].speaker SPEAKER_01
transcript.pyannote[1572].start 8658.59346875
transcript.pyannote[1572].end 8658.61034375
transcript.pyannote[1573].speaker SPEAKER_25
transcript.pyannote[1573].start 8658.66096875
transcript.pyannote[1573].end 8670.92909375
transcript.pyannote[1574].speaker SPEAKER_25
transcript.pyannote[1574].start 8671.16534375
transcript.pyannote[1574].end 8697.57471875
transcript.pyannote[1575].speaker SPEAKER_25
transcript.pyannote[1575].start 8697.82784375
transcript.pyannote[1575].end 8702.56971875
transcript.pyannote[1576].speaker SPEAKER_01
transcript.pyannote[1576].start 8702.85659375
transcript.pyannote[1576].end 8705.42159375
transcript.pyannote[1577].speaker SPEAKER_01
transcript.pyannote[1577].start 8706.58596875
transcript.pyannote[1577].end 8708.08784375
transcript.pyannote[1578].speaker SPEAKER_01
transcript.pyannote[1578].start 8708.32409375
transcript.pyannote[1578].end 8710.66971875
transcript.pyannote[1579].speaker SPEAKER_01
transcript.pyannote[1579].start 8710.85534375
transcript.pyannote[1579].end 8729.11409375
transcript.pyannote[1580].speaker SPEAKER_25
transcript.pyannote[1580].start 8729.11409375
transcript.pyannote[1580].end 8729.99159375
transcript.pyannote[1581].speaker SPEAKER_25
transcript.pyannote[1581].start 8730.19409375
transcript.pyannote[1581].end 8736.75846875
transcript.pyannote[1582].speaker SPEAKER_16
transcript.pyannote[1582].start 8736.75846875
transcript.pyannote[1582].end 8737.09596875
transcript.pyannote[1583].speaker SPEAKER_25
transcript.pyannote[1583].start 8736.97784375
transcript.pyannote[1583].end 8754.10596875
transcript.pyannote[1584].speaker SPEAKER_01
transcript.pyannote[1584].start 8754.27471875
transcript.pyannote[1584].end 8757.70034375
transcript.pyannote[1585].speaker SPEAKER_25
transcript.pyannote[1585].start 8757.04221875
transcript.pyannote[1585].end 8759.15159375
transcript.pyannote[1586].speaker SPEAKER_01
transcript.pyannote[1586].start 8758.40909375
transcript.pyannote[1586].end 8760.83909375
transcript.pyannote[1587].speaker SPEAKER_25
transcript.pyannote[1587].start 8761.17659375
transcript.pyannote[1587].end 8762.89784375
transcript.pyannote[1588].speaker SPEAKER_01
transcript.pyannote[1588].start 8763.04971875
transcript.pyannote[1588].end 8764.38284375
transcript.pyannote[1589].speaker SPEAKER_25
transcript.pyannote[1589].start 8763.74159375
transcript.pyannote[1589].end 8764.34909375
transcript.pyannote[1590].speaker SPEAKER_25
transcript.pyannote[1590].start 8764.38284375
transcript.pyannote[1590].end 8764.45034375
transcript.pyannote[1591].speaker SPEAKER_01
transcript.pyannote[1591].start 8764.45034375
transcript.pyannote[1591].end 8764.46721875
transcript.pyannote[1592].speaker SPEAKER_25
transcript.pyannote[1592].start 8764.46721875
transcript.pyannote[1592].end 8764.66971875
transcript.pyannote[1593].speaker SPEAKER_01
transcript.pyannote[1593].start 8764.66971875
transcript.pyannote[1593].end 8765.26034375
transcript.pyannote[1594].speaker SPEAKER_01
transcript.pyannote[1594].start 8765.90159375
transcript.pyannote[1594].end 8766.62721875
transcript.pyannote[1595].speaker SPEAKER_01
transcript.pyannote[1595].start 8767.42034375
transcript.pyannote[1595].end 8768.70284375
transcript.pyannote[1596].speaker SPEAKER_01
transcript.pyannote[1596].start 8769.64784375
transcript.pyannote[1596].end 8770.91346875
transcript.pyannote[1597].speaker SPEAKER_01
transcript.pyannote[1597].start 8771.20034375
transcript.pyannote[1597].end 8771.84159375
transcript.pyannote[1598].speaker SPEAKER_25
transcript.pyannote[1598].start 8771.21721875
transcript.pyannote[1598].end 8789.50971875
transcript.pyannote[1599].speaker SPEAKER_01
transcript.pyannote[1599].start 8789.94846875
transcript.pyannote[1599].end 8793.93096875
transcript.pyannote[1600].speaker SPEAKER_01
transcript.pyannote[1600].start 8794.47096875
transcript.pyannote[1600].end 8797.28909375
transcript.pyannote[1601].speaker SPEAKER_01
transcript.pyannote[1601].start 8797.86284375
transcript.pyannote[1601].end 8799.90471875
transcript.pyannote[1602].speaker SPEAKER_01
transcript.pyannote[1602].start 8799.98909375
transcript.pyannote[1602].end 8800.00596875
transcript.pyannote[1603].speaker SPEAKER_01
transcript.pyannote[1603].start 8800.14096875
transcript.pyannote[1603].end 8801.35596875
transcript.pyannote[1604].speaker SPEAKER_25
transcript.pyannote[1604].start 8801.72721875
transcript.pyannote[1604].end 8804.61284375
transcript.pyannote[1605].speaker SPEAKER_01
transcript.pyannote[1605].start 8804.69721875
transcript.pyannote[1605].end 8806.75596875
transcript.pyannote[1606].speaker SPEAKER_01
transcript.pyannote[1606].start 8807.22846875
transcript.pyannote[1606].end 8809.13534375
transcript.pyannote[1607].speaker SPEAKER_01
transcript.pyannote[1607].start 8809.77659375
transcript.pyannote[1607].end 8816.77971875
transcript.pyannote[1608].speaker SPEAKER_01
transcript.pyannote[1608].start 8817.30284375
transcript.pyannote[1608].end 8818.77096875
transcript.pyannote[1609].speaker SPEAKER_25
transcript.pyannote[1609].start 8817.87659375
transcript.pyannote[1609].end 8822.66909375
transcript.pyannote[1610].speaker SPEAKER_25
transcript.pyannote[1610].start 8823.32721875
transcript.pyannote[1610].end 8827.10721875
transcript.pyannote[1611].speaker SPEAKER_18
transcript.pyannote[1611].start 8827.10721875
transcript.pyannote[1611].end 8827.49534375
transcript.pyannote[1612].speaker SPEAKER_25
transcript.pyannote[1612].start 8827.49534375
transcript.pyannote[1612].end 8840.37096875
transcript.pyannote[1613].speaker SPEAKER_25
transcript.pyannote[1613].start 8840.57346875
transcript.pyannote[1613].end 8845.78784375
transcript.pyannote[1614].speaker SPEAKER_01
transcript.pyannote[1614].start 8844.99471875
transcript.pyannote[1614].end 8845.55159375
transcript.pyannote[1615].speaker SPEAKER_25
transcript.pyannote[1615].start 8846.41221875
transcript.pyannote[1615].end 8847.54284375
transcript.pyannote[1616].speaker SPEAKER_01
transcript.pyannote[1616].start 8848.21784375
transcript.pyannote[1616].end 8853.12846875
transcript.pyannote[1617].speaker SPEAKER_25
transcript.pyannote[1617].start 8852.82471875
transcript.pyannote[1617].end 8855.18721875
transcript.pyannote[1618].speaker SPEAKER_01
transcript.pyannote[1618].start 8854.30971875
transcript.pyannote[1618].end 8858.64659375
transcript.pyannote[1619].speaker SPEAKER_01
transcript.pyannote[1619].start 8859.23721875
transcript.pyannote[1619].end 8862.25784375
transcript.pyannote[1620].speaker SPEAKER_01
transcript.pyannote[1620].start 8862.96659375
transcript.pyannote[1620].end 8865.02534375
transcript.pyannote[1621].speaker SPEAKER_25
transcript.pyannote[1621].start 8864.83971875
transcript.pyannote[1621].end 8877.59721875
transcript.pyannote[1622].speaker SPEAKER_01
transcript.pyannote[1622].start 8876.93909375
transcript.pyannote[1622].end 8877.12471875
transcript.pyannote[1623].speaker SPEAKER_01
transcript.pyannote[1623].start 8877.24284375
transcript.pyannote[1623].end 8879.80784375
transcript.pyannote[1624].speaker SPEAKER_25
transcript.pyannote[1624].start 8878.72784375
transcript.pyannote[1624].end 8883.19971875
transcript.pyannote[1625].speaker SPEAKER_01
transcript.pyannote[1625].start 8880.93846875
transcript.pyannote[1625].end 8881.34346875
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 8882.72721875
transcript.pyannote[1626].end 8885.10659375
transcript.pyannote[1627].speaker SPEAKER_05
transcript.pyannote[1627].start 8885.56221875
transcript.pyannote[1627].end 8886.43971875
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 8887.03034375
transcript.pyannote[1628].end 8887.75596875
transcript.pyannote[1629].speaker SPEAKER_05
transcript.pyannote[1629].start 8888.12721875
transcript.pyannote[1629].end 8888.83596875
transcript.pyannote[1630].speaker SPEAKER_05
transcript.pyannote[1630].start 8892.05909375
transcript.pyannote[1630].end 8893.72971875
transcript.pyannote[1631].speaker SPEAKER_23
transcript.pyannote[1631].start 8903.28096875
transcript.pyannote[1631].end 8908.17471875
transcript.pyannote[1632].speaker SPEAKER_23
transcript.pyannote[1632].start 8908.49534375
transcript.pyannote[1632].end 8911.41471875
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 8911.88721875
transcript.pyannote[1633].end 8912.76471875
transcript.pyannote[1634].speaker SPEAKER_23
transcript.pyannote[1634].start 8919.76784375
transcript.pyannote[1634].end 8920.91534375
transcript.pyannote[1635].speaker SPEAKER_23
transcript.pyannote[1635].start 8921.33721875
transcript.pyannote[1635].end 8921.64096875
transcript.pyannote[1636].speaker SPEAKER_23
transcript.pyannote[1636].start 8921.77596875
transcript.pyannote[1636].end 8922.14721875
transcript.pyannote[1637].speaker SPEAKER_23
transcript.pyannote[1637].start 8922.41721875
transcript.pyannote[1637].end 8924.99909375
transcript.pyannote[1638].speaker SPEAKER_23
transcript.pyannote[1638].start 8926.39971875
transcript.pyannote[1638].end 8930.73659375
transcript.pyannote[1639].speaker SPEAKER_25
transcript.pyannote[1639].start 8928.67784375
transcript.pyannote[1639].end 8929.52159375
transcript.pyannote[1640].speaker SPEAKER_23
transcript.pyannote[1640].start 8931.05721875
transcript.pyannote[1640].end 8939.64659375
transcript.pyannote[1641].speaker SPEAKER_25
transcript.pyannote[1641].start 8932.27221875
transcript.pyannote[1641].end 8932.98096875
transcript.pyannote[1642].speaker SPEAKER_25
transcript.pyannote[1642].start 8933.90909375
transcript.pyannote[1642].end 8933.97659375
transcript.pyannote[1643].speaker SPEAKER_00
transcript.pyannote[1643].start 8933.97659375
transcript.pyannote[1643].end 8934.04409375
transcript.pyannote[1644].speaker SPEAKER_23
transcript.pyannote[1644].start 8941.09784375
transcript.pyannote[1644].end 8942.26221875
transcript.pyannote[1645].speaker SPEAKER_23
transcript.pyannote[1645].start 8943.44346875
transcript.pyannote[1645].end 8946.22784375
transcript.pyannote[1646].speaker SPEAKER_23
transcript.pyannote[1646].start 8946.53159375
transcript.pyannote[1646].end 8948.05034375
transcript.pyannote[1647].speaker SPEAKER_23
transcript.pyannote[1647].start 8948.28659375
transcript.pyannote[1647].end 8949.14721875
transcript.pyannote[1648].speaker SPEAKER_23
transcript.pyannote[1648].start 8949.56909375
transcript.pyannote[1648].end 8950.86846875
transcript.pyannote[1649].speaker SPEAKER_25
transcript.pyannote[1649].start 8951.05409375
transcript.pyannote[1649].end 8951.12159375
transcript.pyannote[1650].speaker SPEAKER_18
transcript.pyannote[1650].start 8951.12159375
transcript.pyannote[1650].end 8951.22284375
transcript.pyannote[1651].speaker SPEAKER_25
transcript.pyannote[1651].start 8951.22284375
transcript.pyannote[1651].end 8951.27346875
transcript.pyannote[1652].speaker SPEAKER_23
transcript.pyannote[1652].start 8951.61096875
transcript.pyannote[1652].end 8961.44909375
transcript.pyannote[1653].speaker SPEAKER_23
transcript.pyannote[1653].start 8961.73596875
transcript.pyannote[1653].end 8961.75284375
transcript.pyannote[1654].speaker SPEAKER_25
transcript.pyannote[1654].start 8961.75284375
transcript.pyannote[1654].end 8965.14471875
transcript.pyannote[1655].speaker SPEAKER_23
transcript.pyannote[1655].start 8964.23346875
transcript.pyannote[1655].end 8965.07721875
transcript.pyannote[1656].speaker SPEAKER_25
transcript.pyannote[1656].start 8965.68471875
transcript.pyannote[1656].end 8968.21596875
transcript.pyannote[1657].speaker SPEAKER_25
transcript.pyannote[1657].start 8968.46909375
transcript.pyannote[1657].end 8975.03346875
transcript.pyannote[1658].speaker SPEAKER_23
transcript.pyannote[1658].start 8968.48596875
transcript.pyannote[1658].end 8969.12721875
transcript.pyannote[1659].speaker SPEAKER_23
transcript.pyannote[1659].start 8971.91159375
transcript.pyannote[1659].end 8972.55284375
transcript.pyannote[1660].speaker SPEAKER_23
transcript.pyannote[1660].start 8975.03346875
transcript.pyannote[1660].end 8976.31596875
transcript.pyannote[1661].speaker SPEAKER_25
transcript.pyannote[1661].start 8976.31596875
transcript.pyannote[1661].end 8976.33284375
transcript.pyannote[1662].speaker SPEAKER_23
transcript.pyannote[1662].start 8976.33284375
transcript.pyannote[1662].end 8980.65284375
transcript.pyannote[1663].speaker SPEAKER_25
transcript.pyannote[1663].start 8980.65284375
transcript.pyannote[1663].end 8982.59346875
transcript.pyannote[1664].speaker SPEAKER_23
transcript.pyannote[1664].start 8982.59346875
transcript.pyannote[1664].end 8988.92159375
transcript.pyannote[1665].speaker SPEAKER_25
transcript.pyannote[1665].start 8982.62721875
transcript.pyannote[1665].end 8982.71159375
transcript.pyannote[1666].speaker SPEAKER_25
transcript.pyannote[1666].start 8984.70284375
transcript.pyannote[1666].end 8985.07409375
transcript.pyannote[1667].speaker SPEAKER_25
transcript.pyannote[1667].start 8986.33971875
transcript.pyannote[1667].end 8986.66034375
transcript.pyannote[1668].speaker SPEAKER_25
transcript.pyannote[1668].start 8988.92159375
transcript.pyannote[1668].end 8989.30971875
transcript.pyannote[1669].speaker SPEAKER_23
transcript.pyannote[1669].start 8989.30971875
transcript.pyannote[1669].end 8990.69346875
transcript.pyannote[1670].speaker SPEAKER_23
transcript.pyannote[1670].start 8991.04784375
transcript.pyannote[1670].end 8995.95846875
transcript.pyannote[1671].speaker SPEAKER_25
transcript.pyannote[1671].start 8995.95846875
transcript.pyannote[1671].end 8996.21159375
transcript.pyannote[1672].speaker SPEAKER_23
transcript.pyannote[1672].start 8996.21159375
transcript.pyannote[1672].end 8996.97096875
transcript.pyannote[1673].speaker SPEAKER_25
transcript.pyannote[1673].start 8996.97096875
transcript.pyannote[1673].end 8997.03846875
transcript.pyannote[1674].speaker SPEAKER_23
transcript.pyannote[1674].start 8997.03846875
transcript.pyannote[1674].end 9008.85096875
transcript.pyannote[1675].speaker SPEAKER_25
transcript.pyannote[1675].start 9002.59034375
transcript.pyannote[1675].end 9003.13034375
transcript.pyannote[1676].speaker SPEAKER_25
transcript.pyannote[1676].start 9008.59784375
transcript.pyannote[1676].end 9016.02284375
transcript.pyannote[1677].speaker SPEAKER_23
transcript.pyannote[1677].start 9016.02284375
transcript.pyannote[1677].end 9027.31221875
transcript.pyannote[1678].speaker SPEAKER_25
transcript.pyannote[1678].start 9018.13221875
transcript.pyannote[1678].end 9018.57096875
transcript.pyannote[1679].speaker SPEAKER_23
transcript.pyannote[1679].start 9027.64971875
transcript.pyannote[1679].end 9028.84784375
transcript.pyannote[1680].speaker SPEAKER_23
transcript.pyannote[1680].start 9029.70846875
transcript.pyannote[1680].end 9030.36659375
transcript.pyannote[1681].speaker SPEAKER_25
transcript.pyannote[1681].start 9030.36659375
transcript.pyannote[1681].end 9030.38346875
transcript.pyannote[1682].speaker SPEAKER_23
transcript.pyannote[1682].start 9031.17659375
transcript.pyannote[1682].end 9031.95284375
transcript.pyannote[1683].speaker SPEAKER_25
transcript.pyannote[1683].start 9031.95284375
transcript.pyannote[1683].end 9031.96971875
transcript.pyannote[1684].speaker SPEAKER_23
transcript.pyannote[1684].start 9032.69534375
transcript.pyannote[1684].end 9032.71221875
transcript.pyannote[1685].speaker SPEAKER_25
transcript.pyannote[1685].start 9032.71221875
transcript.pyannote[1685].end 9032.74596875
transcript.pyannote[1686].speaker SPEAKER_23
transcript.pyannote[1686].start 9032.74596875
transcript.pyannote[1686].end 9032.96534375
transcript.pyannote[1687].speaker SPEAKER_25
transcript.pyannote[1687].start 9032.96534375
transcript.pyannote[1687].end 9033.03284375
transcript.pyannote[1688].speaker SPEAKER_23
transcript.pyannote[1688].start 9033.03284375
transcript.pyannote[1688].end 9033.97784375
transcript.pyannote[1689].speaker SPEAKER_25
transcript.pyannote[1689].start 9033.97784375
transcript.pyannote[1689].end 9034.02846875
transcript.pyannote[1690].speaker SPEAKER_23
transcript.pyannote[1690].start 9034.02846875
transcript.pyannote[1690].end 9034.97346875
transcript.pyannote[1691].speaker SPEAKER_25
transcript.pyannote[1691].start 9034.97346875
transcript.pyannote[1691].end 9035.02409375
transcript.pyannote[1692].speaker SPEAKER_23
transcript.pyannote[1692].start 9035.02409375
transcript.pyannote[1692].end 9035.88471875
transcript.pyannote[1693].speaker SPEAKER_25
transcript.pyannote[1693].start 9035.88471875
transcript.pyannote[1693].end 9036.42471875
transcript.pyannote[1694].speaker SPEAKER_23
transcript.pyannote[1694].start 9036.42471875
transcript.pyannote[1694].end 9045.75659375
transcript.pyannote[1695].speaker SPEAKER_23
transcript.pyannote[1695].start 9045.84096875
transcript.pyannote[1695].end 9047.93346875
transcript.pyannote[1696].speaker SPEAKER_23
transcript.pyannote[1696].start 9048.37221875
transcript.pyannote[1696].end 9049.62096875
transcript.pyannote[1697].speaker SPEAKER_23
transcript.pyannote[1697].start 9050.19471875
transcript.pyannote[1697].end 9051.32534375
transcript.pyannote[1698].speaker SPEAKER_23
transcript.pyannote[1698].start 9052.00034375
transcript.pyannote[1698].end 9053.80596875
transcript.pyannote[1699].speaker SPEAKER_23
transcript.pyannote[1699].start 9054.83534375
transcript.pyannote[1699].end 9058.10909375
transcript.pyannote[1700].speaker SPEAKER_18
transcript.pyannote[1700].start 9055.94909375
transcript.pyannote[1700].end 9056.47221875
transcript.pyannote[1701].speaker SPEAKER_25
transcript.pyannote[1701].start 9056.47221875
transcript.pyannote[1701].end 9057.02909375
transcript.pyannote[1702].speaker SPEAKER_23
transcript.pyannote[1702].start 9058.36221875
transcript.pyannote[1702].end 9062.86784375
transcript.pyannote[1703].speaker SPEAKER_25
transcript.pyannote[1703].start 9062.86784375
transcript.pyannote[1703].end 9062.90159375
transcript.pyannote[1704].speaker SPEAKER_18
transcript.pyannote[1704].start 9062.90159375
transcript.pyannote[1704].end 9063.20534375
transcript.pyannote[1705].speaker SPEAKER_25
transcript.pyannote[1705].start 9063.20534375
transcript.pyannote[1705].end 9063.25596875
transcript.pyannote[1706].speaker SPEAKER_23
transcript.pyannote[1706].start 9063.25596875
transcript.pyannote[1706].end 9064.75784375
transcript.pyannote[1707].speaker SPEAKER_18
transcript.pyannote[1707].start 9064.72409375
transcript.pyannote[1707].end 9064.74096875
transcript.pyannote[1708].speaker SPEAKER_18
transcript.pyannote[1708].start 9064.75784375
transcript.pyannote[1708].end 9065.02784375
transcript.pyannote[1709].speaker SPEAKER_23
transcript.pyannote[1709].start 9064.96034375
transcript.pyannote[1709].end 9066.74909375
transcript.pyannote[1710].speaker SPEAKER_23
transcript.pyannote[1710].start 9067.12034375
transcript.pyannote[1710].end 9068.70659375
transcript.pyannote[1711].speaker SPEAKER_23
transcript.pyannote[1711].start 9068.99346875
transcript.pyannote[1711].end 9072.40221875
transcript.pyannote[1712].speaker SPEAKER_23
transcript.pyannote[1712].start 9072.45284375
transcript.pyannote[1712].end 9073.92096875
transcript.pyannote[1713].speaker SPEAKER_18
transcript.pyannote[1713].start 9072.63846875
transcript.pyannote[1713].end 9072.79034375
transcript.pyannote[1714].speaker SPEAKER_23
transcript.pyannote[1714].start 9074.15721875
transcript.pyannote[1714].end 9080.18159375
transcript.pyannote[1715].speaker SPEAKER_18
transcript.pyannote[1715].start 9080.06346875
transcript.pyannote[1715].end 9080.48534375
transcript.pyannote[1716].speaker SPEAKER_23
transcript.pyannote[1716].start 9080.26596875
transcript.pyannote[1716].end 9089.00721875
transcript.pyannote[1717].speaker SPEAKER_16
transcript.pyannote[1717].start 9087.70784375
transcript.pyannote[1717].end 9088.19721875
transcript.pyannote[1718].speaker SPEAKER_16
transcript.pyannote[1718].start 9088.99034375
transcript.pyannote[1718].end 9089.46284375
transcript.pyannote[1719].speaker SPEAKER_23
transcript.pyannote[1719].start 9089.12534375
transcript.pyannote[1719].end 9091.43721875
transcript.pyannote[1720].speaker SPEAKER_23
transcript.pyannote[1720].start 9091.79159375
transcript.pyannote[1720].end 9092.36534375
transcript.pyannote[1721].speaker SPEAKER_23
transcript.pyannote[1721].start 9092.65221875
transcript.pyannote[1721].end 9094.22159375
transcript.pyannote[1722].speaker SPEAKER_16
transcript.pyannote[1722].start 9094.17096875
transcript.pyannote[1722].end 9094.18784375
transcript.pyannote[1723].speaker SPEAKER_18
transcript.pyannote[1723].start 9094.22159375
transcript.pyannote[1723].end 9094.35659375
transcript.pyannote[1724].speaker SPEAKER_23
transcript.pyannote[1724].start 9094.35659375
transcript.pyannote[1724].end 9096.98909375
transcript.pyannote[1725].speaker SPEAKER_16
transcript.pyannote[1725].start 9094.37346875
transcript.pyannote[1725].end 9094.50846875
transcript.pyannote[1726].speaker SPEAKER_23
transcript.pyannote[1726].start 9098.77784375
transcript.pyannote[1726].end 9098.79471875
transcript.pyannote[1727].speaker SPEAKER_25
transcript.pyannote[1727].start 9098.79471875
transcript.pyannote[1727].end 9099.53721875
transcript.pyannote[1728].speaker SPEAKER_23
transcript.pyannote[1728].start 9099.53721875
transcript.pyannote[1728].end 9099.75659375
transcript.pyannote[1729].speaker SPEAKER_25
transcript.pyannote[1729].start 9099.75659375
transcript.pyannote[1729].end 9103.08096875
transcript.pyannote[1730].speaker SPEAKER_23
transcript.pyannote[1730].start 9103.08096875
transcript.pyannote[1730].end 9109.86471875
transcript.pyannote[1731].speaker SPEAKER_25
transcript.pyannote[1731].start 9103.09784375
transcript.pyannote[1731].end 9103.41846875
transcript.pyannote[1732].speaker SPEAKER_23
transcript.pyannote[1732].start 9109.96596875
transcript.pyannote[1732].end 9112.02471875
transcript.pyannote[1733].speaker SPEAKER_25
transcript.pyannote[1733].start 9112.04159375
transcript.pyannote[1733].end 9112.46346875
transcript.pyannote[1734].speaker SPEAKER_23
transcript.pyannote[1734].start 9112.71659375
transcript.pyannote[1734].end 9116.83409375
transcript.pyannote[1735].speaker SPEAKER_25
transcript.pyannote[1735].start 9116.83409375
transcript.pyannote[1735].end 9117.17159375
transcript.pyannote[1736].speaker SPEAKER_23
transcript.pyannote[1736].start 9117.12096875
transcript.pyannote[1736].end 9118.58909375
transcript.pyannote[1737].speaker SPEAKER_25
transcript.pyannote[1737].start 9119.33159375
transcript.pyannote[1737].end 9119.48346875
transcript.pyannote[1738].speaker SPEAKER_23
transcript.pyannote[1738].start 9119.48346875
transcript.pyannote[1738].end 9120.29346875
transcript.pyannote[1739].speaker SPEAKER_23
transcript.pyannote[1739].start 9120.81659375
transcript.pyannote[1739].end 9122.52096875
transcript.pyannote[1740].speaker SPEAKER_25
transcript.pyannote[1740].start 9121.01909375
transcript.pyannote[1740].end 9121.79534375
transcript.pyannote[1741].speaker SPEAKER_23
transcript.pyannote[1741].start 9122.63909375
transcript.pyannote[1741].end 9123.73596875
transcript.pyannote[1742].speaker SPEAKER_23
transcript.pyannote[1742].start 9123.93846875
transcript.pyannote[1742].end 9125.98034375
transcript.pyannote[1743].speaker SPEAKER_25
transcript.pyannote[1743].start 9126.16596875
transcript.pyannote[1743].end 9126.55409375
transcript.pyannote[1744].speaker SPEAKER_23
transcript.pyannote[1744].start 9126.65534375
transcript.pyannote[1744].end 9134.55284375
transcript.pyannote[1745].speaker SPEAKER_25
transcript.pyannote[1745].start 9130.73909375
transcript.pyannote[1745].end 9130.95846875
transcript.pyannote[1746].speaker SPEAKER_23
transcript.pyannote[1746].start 9134.83971875
transcript.pyannote[1746].end 9137.75909375
transcript.pyannote[1747].speaker SPEAKER_23
transcript.pyannote[1747].start 9138.14721875
transcript.pyannote[1747].end 9139.07534375
transcript.pyannote[1748].speaker SPEAKER_23
transcript.pyannote[1748].start 9139.68284375
transcript.pyannote[1748].end 9141.53909375
transcript.pyannote[1749].speaker SPEAKER_23
transcript.pyannote[1749].start 9141.97784375
transcript.pyannote[1749].end 9143.71596875
transcript.pyannote[1750].speaker SPEAKER_23
transcript.pyannote[1750].start 9144.25596875
transcript.pyannote[1750].end 9144.54284375
transcript.pyannote[1751].speaker SPEAKER_23
transcript.pyannote[1751].start 9144.72846875
transcript.pyannote[1751].end 9148.82909375
transcript.pyannote[1752].speaker SPEAKER_25
transcript.pyannote[1752].start 9147.17534375
transcript.pyannote[1752].end 9148.25534375
transcript.pyannote[1753].speaker SPEAKER_25
transcript.pyannote[1753].start 9149.23409375
transcript.pyannote[1753].end 9150.09471875
transcript.pyannote[1754].speaker SPEAKER_23
transcript.pyannote[1754].start 9149.25096875
transcript.pyannote[1754].end 9150.41534375
transcript.pyannote[1755].speaker SPEAKER_23
transcript.pyannote[1755].start 9150.76971875
transcript.pyannote[1755].end 9153.60471875
transcript.pyannote[1756].speaker SPEAKER_25
transcript.pyannote[1756].start 9152.30534375
transcript.pyannote[1756].end 9153.67221875
transcript.pyannote[1757].speaker SPEAKER_23
transcript.pyannote[1757].start 9153.67221875
transcript.pyannote[1757].end 9154.02659375
transcript.pyannote[1758].speaker SPEAKER_25
transcript.pyannote[1758].start 9154.02659375
transcript.pyannote[1758].end 9154.04346875
transcript.pyannote[1759].speaker SPEAKER_23
transcript.pyannote[1759].start 9154.04346875
transcript.pyannote[1759].end 9154.61721875
transcript.pyannote[1760].speaker SPEAKER_25
transcript.pyannote[1760].start 9154.06034375
transcript.pyannote[1760].end 9166.69971875
transcript.pyannote[1761].speaker SPEAKER_23
transcript.pyannote[1761].start 9156.54096875
transcript.pyannote[1761].end 9156.92909375
transcript.pyannote[1762].speaker SPEAKER_23
transcript.pyannote[1762].start 9158.00909375
transcript.pyannote[1762].end 9158.36346875
transcript.pyannote[1763].speaker SPEAKER_23
transcript.pyannote[1763].start 9160.03409375
transcript.pyannote[1763].end 9160.47284375
transcript.pyannote[1764].speaker SPEAKER_25
transcript.pyannote[1764].start 9167.20596875
transcript.pyannote[1764].end 9169.33221875
transcript.pyannote[1765].speaker SPEAKER_23
transcript.pyannote[1765].start 9168.23534375
transcript.pyannote[1765].end 9171.59346875
transcript.pyannote[1766].speaker SPEAKER_25
transcript.pyannote[1766].start 9169.99034375
transcript.pyannote[1766].end 9176.23409375
transcript.pyannote[1767].speaker SPEAKER_23
transcript.pyannote[1767].start 9172.03221875
transcript.pyannote[1767].end 9172.87596875
transcript.pyannote[1768].speaker SPEAKER_23
transcript.pyannote[1768].start 9175.62659375
transcript.pyannote[1768].end 9177.56721875
transcript.pyannote[1769].speaker SPEAKER_23
transcript.pyannote[1769].start 9177.63471875
transcript.pyannote[1769].end 9177.65159375
transcript.pyannote[1770].speaker SPEAKER_25
transcript.pyannote[1770].start 9177.65159375
transcript.pyannote[1770].end 9178.22534375
transcript.pyannote[1771].speaker SPEAKER_25
transcript.pyannote[1771].start 9178.57971875
transcript.pyannote[1771].end 9180.97596875
transcript.pyannote[1772].speaker SPEAKER_23
transcript.pyannote[1772].start 9179.00159375
transcript.pyannote[1772].end 9187.91159375
transcript.pyannote[1773].speaker SPEAKER_25
transcript.pyannote[1773].start 9181.36409375
transcript.pyannote[1773].end 9182.10659375
transcript.pyannote[1774].speaker SPEAKER_25
transcript.pyannote[1774].start 9186.93284375
transcript.pyannote[1774].end 9187.01721875
transcript.pyannote[1775].speaker SPEAKER_23
transcript.pyannote[1775].start 9188.80596875
transcript.pyannote[1775].end 9194.13846875
transcript.pyannote[1776].speaker SPEAKER_00
transcript.pyannote[1776].start 9189.63284375
transcript.pyannote[1776].end 9189.97034375
transcript.pyannote[1777].speaker SPEAKER_05
transcript.pyannote[1777].start 9192.67034375
transcript.pyannote[1777].end 9207.41909375
transcript.pyannote[1778].speaker SPEAKER_05
transcript.pyannote[1778].start 9208.02659375
transcript.pyannote[1778].end 9213.67971875
transcript.pyannote[1779].speaker SPEAKER_10
transcript.pyannote[1779].start 9231.04409375
transcript.pyannote[1779].end 9235.39784375
transcript.pyannote[1780].speaker SPEAKER_25
transcript.pyannote[1780].start 9242.16471875
transcript.pyannote[1780].end 9242.21534375
transcript.pyannote[1781].speaker SPEAKER_10
transcript.pyannote[1781].start 9242.21534375
transcript.pyannote[1781].end 9242.45159375
transcript.pyannote[1782].speaker SPEAKER_25
transcript.pyannote[1782].start 9242.45159375
transcript.pyannote[1782].end 9242.50221875
transcript.pyannote[1783].speaker SPEAKER_10
transcript.pyannote[1783].start 9242.50221875
transcript.pyannote[1783].end 9242.53596875
transcript.pyannote[1784].speaker SPEAKER_18
transcript.pyannote[1784].start 9242.53596875
transcript.pyannote[1784].end 9242.55284375
transcript.pyannote[1785].speaker SPEAKER_10
transcript.pyannote[1785].start 9242.92409375
transcript.pyannote[1785].end 9246.83909375
transcript.pyannote[1786].speaker SPEAKER_10
transcript.pyannote[1786].start 9247.63221875
transcript.pyannote[1786].end 9248.25659375
transcript.pyannote[1787].speaker SPEAKER_10
transcript.pyannote[1787].start 9249.57284375
transcript.pyannote[1787].end 9252.69471875
transcript.pyannote[1788].speaker SPEAKER_10
transcript.pyannote[1788].start 9253.25159375
transcript.pyannote[1788].end 9263.86596875
transcript.pyannote[1789].speaker SPEAKER_10
transcript.pyannote[1789].start 9264.05159375
transcript.pyannote[1789].end 9284.28471875
transcript.pyannote[1790].speaker SPEAKER_10
transcript.pyannote[1790].start 9284.65596875
transcript.pyannote[1790].end 9293.26221875
transcript.pyannote[1791].speaker SPEAKER_10
transcript.pyannote[1791].start 9293.76846875
transcript.pyannote[1791].end 9303.04971875
transcript.pyannote[1792].speaker SPEAKER_10
transcript.pyannote[1792].start 9303.40409375
transcript.pyannote[1792].end 9324.19409375
transcript.pyannote[1793].speaker SPEAKER_10
transcript.pyannote[1793].start 9324.54846875
transcript.pyannote[1793].end 9360.10409375
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 9360.69471875
transcript.pyannote[1794].end 9361.03221875
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 9361.20096875
transcript.pyannote[1795].end 9361.55534375
transcript.pyannote[1796].speaker SPEAKER_10
transcript.pyannote[1796].start 9362.41596875
transcript.pyannote[1796].end 9388.18409375
transcript.pyannote[1797].speaker SPEAKER_25
transcript.pyannote[1797].start 9388.52159375
transcript.pyannote[1797].end 9391.62659375
transcript.pyannote[1798].speaker SPEAKER_25
transcript.pyannote[1798].start 9392.09909375
transcript.pyannote[1798].end 9403.03409375
transcript.pyannote[1799].speaker SPEAKER_00
transcript.pyannote[1799].start 9400.92471875
transcript.pyannote[1799].end 9401.38034375
transcript.pyannote[1800].speaker SPEAKER_25
transcript.pyannote[1800].start 9403.23659375
transcript.pyannote[1800].end 9407.53971875
transcript.pyannote[1801].speaker SPEAKER_25
transcript.pyannote[1801].start 9407.77596875
transcript.pyannote[1801].end 9412.77096875
transcript.pyannote[1802].speaker SPEAKER_25
transcript.pyannote[1802].start 9412.88909375
transcript.pyannote[1802].end 9415.94346875
transcript.pyannote[1803].speaker SPEAKER_25
transcript.pyannote[1803].start 9417.14159375
transcript.pyannote[1803].end 9417.47909375
transcript.pyannote[1804].speaker SPEAKER_25
transcript.pyannote[1804].start 9418.50846875
transcript.pyannote[1804].end 9420.63471875
transcript.pyannote[1805].speaker SPEAKER_10
transcript.pyannote[1805].start 9420.29721875
transcript.pyannote[1805].end 9423.58784375
transcript.pyannote[1806].speaker SPEAKER_10
transcript.pyannote[1806].start 9423.92534375
transcript.pyannote[1806].end 9425.64659375
transcript.pyannote[1807].speaker SPEAKER_25
transcript.pyannote[1807].start 9426.11909375
transcript.pyannote[1807].end 9426.40596875
transcript.pyannote[1808].speaker SPEAKER_10
transcript.pyannote[1808].start 9426.54096875
transcript.pyannote[1808].end 9426.94596875
transcript.pyannote[1809].speaker SPEAKER_25
transcript.pyannote[1809].start 9426.94596875
transcript.pyannote[1809].end 9427.40159375
transcript.pyannote[1810].speaker SPEAKER_10
transcript.pyannote[1810].start 9427.43534375
transcript.pyannote[1810].end 9428.04284375
transcript.pyannote[1811].speaker SPEAKER_25
transcript.pyannote[1811].start 9428.07659375
transcript.pyannote[1811].end 9430.84409375
transcript.pyannote[1812].speaker SPEAKER_10
transcript.pyannote[1812].start 9430.37159375
transcript.pyannote[1812].end 9432.66659375
transcript.pyannote[1813].speaker SPEAKER_25
transcript.pyannote[1813].start 9431.26596875
transcript.pyannote[1813].end 9432.63284375
transcript.pyannote[1814].speaker SPEAKER_10
transcript.pyannote[1814].start 9433.35846875
transcript.pyannote[1814].end 9439.21409375
transcript.pyannote[1815].speaker SPEAKER_10
transcript.pyannote[1815].start 9439.51784375
transcript.pyannote[1815].end 9440.31096875
transcript.pyannote[1816].speaker SPEAKER_10
transcript.pyannote[1816].start 9440.68221875
transcript.pyannote[1816].end 9443.26409375
transcript.pyannote[1817].speaker SPEAKER_25
transcript.pyannote[1817].start 9443.50034375
transcript.pyannote[1817].end 9443.56784375
transcript.pyannote[1818].speaker SPEAKER_25
transcript.pyannote[1818].start 9444.68159375
transcript.pyannote[1818].end 9446.35221875
transcript.pyannote[1819].speaker SPEAKER_10
transcript.pyannote[1819].start 9446.60534375
transcript.pyannote[1819].end 9449.40659375
transcript.pyannote[1820].speaker SPEAKER_25
transcript.pyannote[1820].start 9449.28846875
transcript.pyannote[1820].end 9450.82409375
transcript.pyannote[1821].speaker SPEAKER_10
transcript.pyannote[1821].start 9450.23346875
transcript.pyannote[1821].end 9456.05534375
transcript.pyannote[1822].speaker SPEAKER_25
transcript.pyannote[1822].start 9452.93346875
transcript.pyannote[1822].end 9453.37221875
transcript.pyannote[1823].speaker SPEAKER_25
transcript.pyannote[1823].start 9457.15221875
transcript.pyannote[1823].end 9465.26909375
transcript.pyannote[1824].speaker SPEAKER_10
transcript.pyannote[1824].start 9459.07596875
transcript.pyannote[1824].end 9459.51471875
transcript.pyannote[1825].speaker SPEAKER_10
transcript.pyannote[1825].start 9464.27346875
transcript.pyannote[1825].end 9466.02846875
transcript.pyannote[1826].speaker SPEAKER_10
transcript.pyannote[1826].start 9466.51784375
transcript.pyannote[1826].end 9468.40784375
transcript.pyannote[1827].speaker SPEAKER_25
transcript.pyannote[1827].start 9468.40784375
transcript.pyannote[1827].end 9472.00221875
transcript.pyannote[1828].speaker SPEAKER_10
transcript.pyannote[1828].start 9468.44159375
transcript.pyannote[1828].end 9468.59346875
transcript.pyannote[1829].speaker SPEAKER_10
transcript.pyannote[1829].start 9471.07409375
transcript.pyannote[1829].end 9475.03971875
transcript.pyannote[1830].speaker SPEAKER_25
transcript.pyannote[1830].start 9474.78659375
transcript.pyannote[1830].end 9475.25909375
transcript.pyannote[1831].speaker SPEAKER_10
transcript.pyannote[1831].start 9476.17034375
transcript.pyannote[1831].end 9477.97596875
transcript.pyannote[1832].speaker SPEAKER_18
transcript.pyannote[1832].start 9477.97596875
transcript.pyannote[1832].end 9478.51596875
transcript.pyannote[1833].speaker SPEAKER_10
transcript.pyannote[1833].start 9478.26284375
transcript.pyannote[1833].end 9481.90784375
transcript.pyannote[1834].speaker SPEAKER_10
transcript.pyannote[1834].start 9482.68409375
transcript.pyannote[1834].end 9496.06596875
transcript.pyannote[1835].speaker SPEAKER_00
transcript.pyannote[1835].start 9494.46284375
transcript.pyannote[1835].end 9494.47971875
transcript.pyannote[1836].speaker SPEAKER_00
transcript.pyannote[1836].start 9494.49659375
transcript.pyannote[1836].end 9494.93534375
transcript.pyannote[1837].speaker SPEAKER_10
transcript.pyannote[1837].start 9496.67346875
transcript.pyannote[1837].end 9500.14971875
transcript.pyannote[1838].speaker SPEAKER_10
transcript.pyannote[1838].start 9500.26784375
transcript.pyannote[1838].end 9505.38096875
transcript.pyannote[1839].speaker SPEAKER_18
transcript.pyannote[1839].start 9505.38096875
transcript.pyannote[1839].end 9505.71846875
transcript.pyannote[1840].speaker SPEAKER_10
transcript.pyannote[1840].start 9505.46534375
transcript.pyannote[1840].end 9505.48221875
transcript.pyannote[1841].speaker SPEAKER_10
transcript.pyannote[1841].start 9505.49909375
transcript.pyannote[1841].end 9512.08034375
transcript.pyannote[1842].speaker SPEAKER_10
transcript.pyannote[1842].start 9512.43471875
transcript.pyannote[1842].end 9562.77284375
transcript.pyannote[1843].speaker SPEAKER_10
transcript.pyannote[1843].start 9563.17784375
transcript.pyannote[1843].end 9563.73471875
transcript.pyannote[1844].speaker SPEAKER_10
transcript.pyannote[1844].start 9564.13971875
transcript.pyannote[1844].end 9564.64596875
transcript.pyannote[1845].speaker SPEAKER_10
transcript.pyannote[1845].start 9565.75971875
transcript.pyannote[1845].end 9594.04221875
transcript.pyannote[1846].speaker SPEAKER_25
transcript.pyannote[1846].start 9594.73409375
transcript.pyannote[1846].end 9597.92346875
transcript.pyannote[1847].speaker SPEAKER_25
transcript.pyannote[1847].start 9598.21034375
transcript.pyannote[1847].end 9600.30284375
transcript.pyannote[1848].speaker SPEAKER_25
transcript.pyannote[1848].start 9600.53909375
transcript.pyannote[1848].end 9617.83596875
transcript.pyannote[1849].speaker SPEAKER_17
transcript.pyannote[1849].start 9611.00159375
transcript.pyannote[1849].end 9611.96346875
transcript.pyannote[1850].speaker SPEAKER_00
transcript.pyannote[1850].start 9611.96346875
transcript.pyannote[1850].end 9612.92534375
transcript.pyannote[1851].speaker SPEAKER_25
transcript.pyannote[1851].start 9618.08909375
transcript.pyannote[1851].end 9618.84846875
transcript.pyannote[1852].speaker SPEAKER_25
transcript.pyannote[1852].start 9619.13534375
transcript.pyannote[1852].end 9625.75034375
transcript.pyannote[1853].speaker SPEAKER_25
transcript.pyannote[1853].start 9626.45909375
transcript.pyannote[1853].end 9632.19659375
transcript.pyannote[1854].speaker SPEAKER_10
transcript.pyannote[1854].start 9632.83784375
transcript.pyannote[1854].end 9635.03159375
transcript.pyannote[1855].speaker SPEAKER_05
transcript.pyannote[1855].start 9635.03159375
transcript.pyannote[1855].end 9635.30159375
transcript.pyannote[1856].speaker SPEAKER_10
transcript.pyannote[1856].start 9635.30159375
transcript.pyannote[1856].end 9636.65159375
transcript.pyannote[1857].speaker SPEAKER_05
transcript.pyannote[1857].start 9635.31846875
transcript.pyannote[1857].end 9635.33534375
transcript.pyannote[1858].speaker SPEAKER_25
transcript.pyannote[1858].start 9635.33534375
transcript.pyannote[1858].end 9636.19596875
transcript.pyannote[1859].speaker SPEAKER_05
transcript.pyannote[1859].start 9636.19596875
transcript.pyannote[1859].end 9636.63471875
transcript.pyannote[1860].speaker SPEAKER_05
transcript.pyannote[1860].start 9636.65159375
transcript.pyannote[1860].end 9638.71034375
transcript.pyannote[1861].speaker SPEAKER_05
transcript.pyannote[1861].start 9638.82846875
transcript.pyannote[1861].end 9641.62971875
transcript.pyannote[1862].speaker SPEAKER_05
transcript.pyannote[1862].start 9641.81534375
transcript.pyannote[1862].end 9647.45159375
transcript.pyannote[1863].speaker SPEAKER_05
transcript.pyannote[1863].start 9647.63721875
transcript.pyannote[1863].end 9648.59909375
transcript.pyannote[1864].speaker SPEAKER_05
transcript.pyannote[1864].start 9651.41721875
transcript.pyannote[1864].end 9651.80534375
transcript.pyannote[1865].speaker SPEAKER_21
transcript.pyannote[1865].start 9653.56034375
transcript.pyannote[1865].end 9653.74596875
transcript.pyannote[1866].speaker SPEAKER_21
transcript.pyannote[1866].start 9654.06659375
transcript.pyannote[1866].end 9654.16784375
transcript.pyannote[1867].speaker SPEAKER_21
transcript.pyannote[1867].start 9654.18471875
transcript.pyannote[1867].end 9654.21846875
transcript.pyannote[1868].speaker SPEAKER_21
transcript.pyannote[1868].start 9654.23534375
transcript.pyannote[1868].end 9655.29846875
transcript.pyannote[1869].speaker SPEAKER_25
transcript.pyannote[1869].start 9654.40409375
transcript.pyannote[1869].end 9654.75846875
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 9655.60221875
transcript.pyannote[1870].end 9656.63159375
transcript.pyannote[1871].speaker SPEAKER_21
transcript.pyannote[1871].start 9656.83409375
transcript.pyannote[1871].end 9657.91409375
transcript.pyannote[1872].speaker SPEAKER_25
transcript.pyannote[1872].start 9658.53846875
transcript.pyannote[1872].end 9659.07846875
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 9659.55096875
transcript.pyannote[1873].end 9664.52909375
transcript.pyannote[1874].speaker SPEAKER_21
transcript.pyannote[1874].start 9664.73159375
transcript.pyannote[1874].end 9669.91221875
transcript.pyannote[1875].speaker SPEAKER_21
transcript.pyannote[1875].start 9669.99659375
transcript.pyannote[1875].end 9671.83596875
transcript.pyannote[1876].speaker SPEAKER_21
transcript.pyannote[1876].start 9672.17346875
transcript.pyannote[1876].end 9675.51471875
transcript.pyannote[1877].speaker SPEAKER_21
transcript.pyannote[1877].start 9675.73409375
transcript.pyannote[1877].end 9678.02909375
transcript.pyannote[1878].speaker SPEAKER_21
transcript.pyannote[1878].start 9678.23159375
transcript.pyannote[1878].end 9681.92721875
transcript.pyannote[1879].speaker SPEAKER_25
transcript.pyannote[1879].start 9682.55159375
transcript.pyannote[1879].end 9685.48784375
transcript.pyannote[1880].speaker SPEAKER_25
transcript.pyannote[1880].start 9685.72409375
transcript.pyannote[1880].end 9686.43284375
transcript.pyannote[1881].speaker SPEAKER_25
transcript.pyannote[1881].start 9687.29346875
transcript.pyannote[1881].end 9689.41971875
transcript.pyannote[1882].speaker SPEAKER_21
transcript.pyannote[1882].start 9689.41971875
transcript.pyannote[1882].end 9689.74034375
transcript.pyannote[1883].speaker SPEAKER_25
transcript.pyannote[1883].start 9689.70659375
transcript.pyannote[1883].end 9693.82409375
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 9694.19534375
transcript.pyannote[1884].end 9694.61721875
transcript.pyannote[1885].speaker SPEAKER_21
transcript.pyannote[1885].start 9695.35971875
transcript.pyannote[1885].end 9701.02971875
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 9701.38409375
transcript.pyannote[1886].end 9702.83534375
transcript.pyannote[1887].speaker SPEAKER_21
transcript.pyannote[1887].start 9703.62846875
transcript.pyannote[1887].end 9705.29909375
transcript.pyannote[1888].speaker SPEAKER_21
transcript.pyannote[1888].start 9705.97409375
transcript.pyannote[1888].end 9719.81159375
transcript.pyannote[1889].speaker SPEAKER_21
transcript.pyannote[1889].start 9720.33471875
transcript.pyannote[1889].end 9720.99284375
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 9721.26284375
transcript.pyannote[1890].end 9725.95409375
transcript.pyannote[1891].speaker SPEAKER_21
transcript.pyannote[1891].start 9726.57846875
transcript.pyannote[1891].end 9728.80596875
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 9729.32909375
transcript.pyannote[1892].end 9731.67471875
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 9732.06284375
transcript.pyannote[1893].end 9737.88471875
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 9737.98596875
transcript.pyannote[1894].end 9742.05284375
transcript.pyannote[1895].speaker SPEAKER_25
transcript.pyannote[1895].start 9742.05284375
transcript.pyannote[1895].end 9745.51221875
transcript.pyannote[1896].speaker SPEAKER_21
transcript.pyannote[1896].start 9744.82034375
transcript.pyannote[1896].end 9745.02284375
transcript.pyannote[1897].speaker SPEAKER_25
transcript.pyannote[1897].start 9745.66409375
transcript.pyannote[1897].end 9748.46534375
transcript.pyannote[1898].speaker SPEAKER_18
transcript.pyannote[1898].start 9748.46534375
transcript.pyannote[1898].end 9748.48221875
transcript.pyannote[1899].speaker SPEAKER_25
transcript.pyannote[1899].start 9748.48221875
transcript.pyannote[1899].end 9748.54971875
transcript.pyannote[1900].speaker SPEAKER_25
transcript.pyannote[1900].start 9748.56659375
transcript.pyannote[1900].end 9758.87721875
transcript.pyannote[1901].speaker SPEAKER_18
transcript.pyannote[1901].start 9751.67159375
transcript.pyannote[1901].end 9751.70534375
transcript.pyannote[1902].speaker SPEAKER_21
transcript.pyannote[1902].start 9751.70534375
transcript.pyannote[1902].end 9752.05971875
transcript.pyannote[1903].speaker SPEAKER_18
transcript.pyannote[1903].start 9752.05971875
transcript.pyannote[1903].end 9752.07659375
transcript.pyannote[1904].speaker SPEAKER_21
transcript.pyannote[1904].start 9757.15596875
transcript.pyannote[1904].end 9758.45534375
transcript.pyannote[1905].speaker SPEAKER_21
transcript.pyannote[1905].start 9758.87721875
transcript.pyannote[1905].end 9759.02909375
transcript.pyannote[1906].speaker SPEAKER_25
transcript.pyannote[1906].start 9759.02909375
transcript.pyannote[1906].end 9759.13034375
transcript.pyannote[1907].speaker SPEAKER_21
transcript.pyannote[1907].start 9759.13034375
transcript.pyannote[1907].end 9759.21471875
transcript.pyannote[1908].speaker SPEAKER_25
transcript.pyannote[1908].start 9759.21471875
transcript.pyannote[1908].end 9759.24846875
transcript.pyannote[1909].speaker SPEAKER_21
transcript.pyannote[1909].start 9759.24846875
transcript.pyannote[1909].end 9759.26534375
transcript.pyannote[1910].speaker SPEAKER_25
transcript.pyannote[1910].start 9759.26534375
transcript.pyannote[1910].end 9763.87221875
transcript.pyannote[1911].speaker SPEAKER_21
transcript.pyannote[1911].start 9762.57284375
transcript.pyannote[1911].end 9763.82159375
transcript.pyannote[1912].speaker SPEAKER_25
transcript.pyannote[1912].start 9764.12534375
transcript.pyannote[1912].end 9782.16471875
transcript.pyannote[1913].speaker SPEAKER_21
transcript.pyannote[1913].start 9777.32159375
transcript.pyannote[1913].end 9777.69284375
transcript.pyannote[1914].speaker SPEAKER_21
transcript.pyannote[1914].start 9780.03846875
transcript.pyannote[1914].end 9783.16034375
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 9783.54846875
transcript.pyannote[1915].end 9785.72534375
transcript.pyannote[1916].speaker SPEAKER_24
transcript.pyannote[1916].start 9786.29909375
transcript.pyannote[1916].end 9787.07534375
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 9787.02471875
transcript.pyannote[1917].end 9788.12159375
transcript.pyannote[1918].speaker SPEAKER_21
transcript.pyannote[1918].start 9788.35784375
transcript.pyannote[1918].end 9789.28596875
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 9789.30284375
transcript.pyannote[1919].end 9790.82159375
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 9791.49659375
transcript.pyannote[1920].end 9792.67784375
transcript.pyannote[1921].speaker SPEAKER_21
transcript.pyannote[1921].start 9793.42034375
transcript.pyannote[1921].end 9795.37784375
transcript.pyannote[1922].speaker SPEAKER_25
transcript.pyannote[1922].start 9794.01096875
transcript.pyannote[1922].end 9794.58471875
transcript.pyannote[1923].speaker SPEAKER_25
transcript.pyannote[1923].start 9794.97284375
transcript.pyannote[1923].end 9797.31846875
transcript.pyannote[1924].speaker SPEAKER_21
transcript.pyannote[1924].start 9797.20034375
transcript.pyannote[1924].end 9797.35221875
transcript.pyannote[1925].speaker SPEAKER_25
transcript.pyannote[1925].start 9797.35221875
transcript.pyannote[1925].end 9799.25909375
transcript.pyannote[1926].speaker SPEAKER_21
transcript.pyannote[1926].start 9798.93846875
transcript.pyannote[1926].end 9808.92846875
transcript.pyannote[1927].speaker SPEAKER_25
transcript.pyannote[1927].start 9800.94659375
transcript.pyannote[1927].end 9801.03096875
transcript.pyannote[1928].speaker SPEAKER_25
transcript.pyannote[1928].start 9809.56971875
transcript.pyannote[1928].end 9811.74659375
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 9810.63284375
transcript.pyannote[1929].end 9812.60721875
transcript.pyannote[1930].speaker SPEAKER_21
transcript.pyannote[1930].start 9813.09659375
transcript.pyannote[1930].end 9817.18034375
transcript.pyannote[1931].speaker SPEAKER_25
transcript.pyannote[1931].start 9816.80909375
transcript.pyannote[1931].end 9828.03096875
transcript.pyannote[1932].speaker SPEAKER_25
transcript.pyannote[1932].start 9828.26721875
transcript.pyannote[1932].end 9833.56596875
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 9828.70596875
transcript.pyannote[1933].end 9828.97596875
transcript.pyannote[1934].speaker SPEAKER_21
transcript.pyannote[1934].start 9831.96284375
transcript.pyannote[1934].end 9836.08034375
transcript.pyannote[1935].speaker SPEAKER_21
transcript.pyannote[1935].start 9836.41784375
transcript.pyannote[1935].end 9839.91096875
transcript.pyannote[1936].speaker SPEAKER_25
transcript.pyannote[1936].start 9838.96596875
transcript.pyannote[1936].end 9846.81284375
transcript.pyannote[1937].speaker SPEAKER_21
transcript.pyannote[1937].start 9844.77096875
transcript.pyannote[1937].end 9844.78784375
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 9844.78784375
transcript.pyannote[1938].end 9845.00721875
transcript.pyannote[1939].speaker SPEAKER_21
transcript.pyannote[1939].start 9845.51346875
transcript.pyannote[1939].end 9845.66534375
transcript.pyannote[1940].speaker SPEAKER_05
transcript.pyannote[1940].start 9845.66534375
transcript.pyannote[1940].end 9849.74909375
transcript.pyannote[1941].speaker SPEAKER_05
transcript.pyannote[1941].start 9850.17096875
transcript.pyannote[1941].end 9852.83721875
transcript.pyannote[1942].speaker SPEAKER_05
transcript.pyannote[1942].start 9853.02284375
transcript.pyannote[1942].end 9853.41096875
transcript.pyannote[1943].speaker SPEAKER_05
transcript.pyannote[1943].start 9853.76534375
transcript.pyannote[1943].end 9865.07159375
transcript.pyannote[1944].speaker SPEAKER_05
transcript.pyannote[1944].start 9865.35846875
transcript.pyannote[1944].end 9874.72409375
transcript.pyannote[1945].speaker SPEAKER_05
transcript.pyannote[1945].start 9877.33971875
transcript.pyannote[1945].end 9885.13596875
transcript.pyannote[1946].speaker SPEAKER_05
transcript.pyannote[1946].start 9886.43534375
transcript.pyannote[1946].end 9894.97409375
transcript.pyannote[1947].speaker SPEAKER_06
transcript.pyannote[1947].start 9894.97409375
transcript.pyannote[1947].end 9900.54284375
transcript.pyannote[1948].speaker SPEAKER_06
transcript.pyannote[1948].start 9900.82971875
transcript.pyannote[1948].end 9915.83159375
transcript.pyannote[1949].speaker SPEAKER_06
transcript.pyannote[1949].start 9916.91159375
transcript.pyannote[1949].end 9920.80971875
transcript.pyannote[1950].speaker SPEAKER_06
transcript.pyannote[1950].start 9921.02909375
transcript.pyannote[1950].end 9923.35784375
transcript.pyannote[1951].speaker SPEAKER_06
transcript.pyannote[1951].start 9923.81346875
transcript.pyannote[1951].end 9928.60596875
transcript.pyannote[1952].speaker SPEAKER_06
transcript.pyannote[1952].start 9928.70721875
transcript.pyannote[1952].end 9931.76159375
transcript.pyannote[1953].speaker SPEAKER_06
transcript.pyannote[1953].start 9932.09909375
transcript.pyannote[1953].end 9936.85784375
transcript.pyannote[1954].speaker SPEAKER_06
transcript.pyannote[1954].start 9937.17846875
transcript.pyannote[1954].end 9941.41409375
transcript.pyannote[1955].speaker SPEAKER_06
transcript.pyannote[1955].start 9941.65034375
transcript.pyannote[1955].end 9944.38409375
transcript.pyannote[1956].speaker SPEAKER_06
transcript.pyannote[1956].start 9945.46409375
transcript.pyannote[1956].end 9949.31159375
transcript.pyannote[1957].speaker SPEAKER_06
transcript.pyannote[1957].start 9949.68284375
transcript.pyannote[1957].end 9951.35346875
transcript.pyannote[1958].speaker SPEAKER_06
transcript.pyannote[1958].start 9952.19721875
transcript.pyannote[1958].end 9965.42721875
transcript.pyannote[1959].speaker SPEAKER_06
transcript.pyannote[1959].start 9965.47784375
transcript.pyannote[1959].end 9969.69659375
transcript.pyannote[1960].speaker SPEAKER_06
transcript.pyannote[1960].start 9969.88221875
transcript.pyannote[1960].end 9971.29971875
transcript.pyannote[1961].speaker SPEAKER_06
transcript.pyannote[1961].start 9971.46846875
transcript.pyannote[1961].end 9972.53159375
transcript.pyannote[1962].speaker SPEAKER_06
transcript.pyannote[1962].start 9972.80159375
transcript.pyannote[1962].end 9974.87721875
transcript.pyannote[1963].speaker SPEAKER_06
transcript.pyannote[1963].start 9976.14284375
transcript.pyannote[1963].end 9978.67409375
transcript.pyannote[1964].speaker SPEAKER_06
transcript.pyannote[1964].start 9979.01159375
transcript.pyannote[1964].end 9985.30596875
transcript.pyannote[1965].speaker SPEAKER_06
transcript.pyannote[1965].start 9985.50846875
transcript.pyannote[1965].end 9989.22096875
transcript.pyannote[1966].speaker SPEAKER_06
transcript.pyannote[1966].start 9990.25034375
transcript.pyannote[1966].end 9992.15721875
transcript.pyannote[1967].speaker SPEAKER_06
transcript.pyannote[1967].start 9992.32596875
transcript.pyannote[1967].end 9993.92909375
transcript.pyannote[1968].speaker SPEAKER_06
transcript.pyannote[1968].start 9994.13159375
transcript.pyannote[1968].end 9998.23221875
transcript.pyannote[1969].speaker SPEAKER_06
transcript.pyannote[1969].start 9998.60346875
transcript.pyannote[1969].end 10000.61159375
transcript.pyannote[1970].speaker SPEAKER_06
transcript.pyannote[1970].start 10000.98284375
transcript.pyannote[1970].end 10002.55221875
transcript.pyannote[1971].speaker SPEAKER_06
transcript.pyannote[1971].start 10003.39596875
transcript.pyannote[1971].end 10004.54346875
transcript.pyannote[1972].speaker SPEAKER_06
transcript.pyannote[1972].start 10004.81346875
transcript.pyannote[1972].end 10005.64034375
transcript.pyannote[1973].speaker SPEAKER_06
transcript.pyannote[1973].start 10005.80909375
transcript.pyannote[1973].end 10015.27596875
transcript.pyannote[1974].speaker SPEAKER_06
transcript.pyannote[1974].start 10015.57971875
transcript.pyannote[1974].end 10018.88721875
transcript.pyannote[1975].speaker SPEAKER_06
transcript.pyannote[1975].start 10019.20784375
transcript.pyannote[1975].end 10019.93346875
transcript.pyannote[1976].speaker SPEAKER_06
transcript.pyannote[1976].start 10020.32159375
transcript.pyannote[1976].end 10021.62096875
transcript.pyannote[1977].speaker SPEAKER_06
transcript.pyannote[1977].start 10022.44784375
transcript.pyannote[1977].end 10023.74721875
transcript.pyannote[1978].speaker SPEAKER_06
transcript.pyannote[1978].start 10024.03409375
transcript.pyannote[1978].end 10025.38409375
transcript.pyannote[1979].speaker SPEAKER_06
transcript.pyannote[1979].start 10026.26159375
transcript.pyannote[1979].end 10037.33159375
transcript.pyannote[1980].speaker SPEAKER_06
transcript.pyannote[1980].start 10038.27659375
transcript.pyannote[1980].end 10045.00971875
transcript.pyannote[1981].speaker SPEAKER_06
transcript.pyannote[1981].start 10045.58346875
transcript.pyannote[1981].end 10049.61659375
transcript.pyannote[1982].speaker SPEAKER_06
transcript.pyannote[1982].start 10050.17346875
transcript.pyannote[1982].end 10052.23221875
transcript.pyannote[1983].speaker SPEAKER_06
transcript.pyannote[1983].start 10052.40096875
transcript.pyannote[1983].end 10055.06721875
transcript.pyannote[1984].speaker SPEAKER_06
transcript.pyannote[1984].start 10056.07971875
transcript.pyannote[1984].end 10062.50909375
transcript.pyannote[1985].speaker SPEAKER_06
transcript.pyannote[1985].start 10062.72846875
transcript.pyannote[1985].end 10066.28909375
transcript.pyannote[1986].speaker SPEAKER_06
transcript.pyannote[1986].start 10066.76159375
transcript.pyannote[1986].end 10069.19159375
transcript.pyannote[1987].speaker SPEAKER_06
transcript.pyannote[1987].start 10070.45721875
transcript.pyannote[1987].end 10075.70534375
transcript.pyannote[1988].speaker SPEAKER_06
transcript.pyannote[1988].start 10075.97534375
transcript.pyannote[1988].end 10080.26159375
transcript.pyannote[1989].speaker SPEAKER_06
transcript.pyannote[1989].start 10080.54846875
transcript.pyannote[1989].end 10083.24846875
transcript.pyannote[1990].speaker SPEAKER_06
transcript.pyannote[1990].start 10084.56471875
transcript.pyannote[1990].end 10087.29846875
transcript.pyannote[1991].speaker SPEAKER_06
transcript.pyannote[1991].start 10087.48409375
transcript.pyannote[1991].end 10090.74096875
transcript.pyannote[1992].speaker SPEAKER_06
transcript.pyannote[1992].start 10091.06159375
transcript.pyannote[1992].end 10092.91784375
transcript.pyannote[1993].speaker SPEAKER_06
transcript.pyannote[1993].start 10093.08659375
transcript.pyannote[1993].end 10097.28846875
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 10098.48659375
transcript.pyannote[1994].end 10103.92034375
transcript.pyannote[1995].speaker SPEAKER_06
transcript.pyannote[1995].start 10104.13971875
transcript.pyannote[1995].end 10106.14784375
transcript.pyannote[1996].speaker SPEAKER_06
transcript.pyannote[1996].start 10106.31659375
transcript.pyannote[1996].end 10109.06721875
transcript.pyannote[1997].speaker SPEAKER_06
transcript.pyannote[1997].start 10109.26971875
transcript.pyannote[1997].end 10113.94409375
transcript.pyannote[1998].speaker SPEAKER_06
transcript.pyannote[1998].start 10114.31534375
transcript.pyannote[1998].end 10118.21346875
transcript.pyannote[1999].speaker SPEAKER_06
transcript.pyannote[1999].start 10119.37784375
transcript.pyannote[1999].end 10123.03971875
transcript.pyannote[2000].speaker SPEAKER_06
transcript.pyannote[2000].start 10123.41096875
transcript.pyannote[2000].end 10127.98409375
transcript.pyannote[2001].speaker SPEAKER_06
transcript.pyannote[2001].start 10128.49034375
transcript.pyannote[2001].end 10131.34221875
transcript.pyannote[2002].speaker SPEAKER_06
transcript.pyannote[2002].start 10131.44346875
transcript.pyannote[2002].end 10135.18971875
transcript.pyannote[2003].speaker SPEAKER_06
transcript.pyannote[2003].start 10135.52721875
transcript.pyannote[2003].end 10137.56909375
transcript.pyannote[2004].speaker SPEAKER_06
transcript.pyannote[2004].start 10138.41284375
transcript.pyannote[2004].end 10140.01596875
transcript.pyannote[2005].speaker SPEAKER_06
transcript.pyannote[2005].start 10140.28596875
transcript.pyannote[2005].end 10142.98596875
transcript.pyannote[2006].speaker SPEAKER_06
transcript.pyannote[2006].start 10143.49221875
transcript.pyannote[2006].end 10147.93034375
transcript.pyannote[2007].speaker SPEAKER_06
transcript.pyannote[2007].start 10148.11596875
transcript.pyannote[2007].end 10151.59221875
transcript.pyannote[2008].speaker SPEAKER_06
transcript.pyannote[2008].start 10153.04346875
transcript.pyannote[2008].end 10156.45221875
transcript.pyannote[2009].speaker SPEAKER_06
transcript.pyannote[2009].start 10156.77284375
transcript.pyannote[2009].end 10162.67909375
transcript.pyannote[2010].speaker SPEAKER_06
transcript.pyannote[2010].start 10163.05034375
transcript.pyannote[2010].end 10163.52284375
transcript.pyannote[2011].speaker SPEAKER_06
transcript.pyannote[2011].start 10163.77596875
transcript.pyannote[2011].end 10174.39034375
transcript.pyannote[2012].speaker SPEAKER_06
transcript.pyannote[2012].start 10174.99784375
transcript.pyannote[2012].end 10176.73596875
transcript.pyannote[2013].speaker SPEAKER_06
transcript.pyannote[2013].start 10177.22534375
transcript.pyannote[2013].end 10180.00971875
transcript.pyannote[2014].speaker SPEAKER_06
transcript.pyannote[2014].start 10180.27971875
transcript.pyannote[2014].end 10182.22034375
transcript.pyannote[2015].speaker SPEAKER_06
transcript.pyannote[2015].start 10182.94596875
transcript.pyannote[2015].end 10187.68784375
transcript.pyannote[2016].speaker SPEAKER_05
transcript.pyannote[2016].start 10195.77096875
transcript.pyannote[2016].end 10199.93909375
transcript.pyannote[2017].speaker SPEAKER_05
transcript.pyannote[2017].start 10200.54659375
transcript.pyannote[2017].end 10201.60971875
transcript.pyannote[2018].speaker SPEAKER_05
transcript.pyannote[2018].start 10201.99784375
transcript.pyannote[2018].end 10205.50784375
transcript.pyannote[2019].speaker SPEAKER_05
transcript.pyannote[2019].start 10213.70909375
transcript.pyannote[2019].end 10214.72159375
transcript.pyannote[2020].speaker SPEAKER_05
transcript.pyannote[2020].start 10215.19409375
transcript.pyannote[2020].end 10215.81846875
transcript.pyannote[2021].speaker SPEAKER_05
transcript.pyannote[2021].start 10215.85221875
transcript.pyannote[2021].end 10219.02471875
transcript.pyannote[2022].speaker SPEAKER_05
transcript.pyannote[2022].start 10219.14284375
transcript.pyannote[2022].end 10232.23784375
transcript.pyannote[2023].speaker SPEAKER_25
transcript.pyannote[2023].start 10232.96346875
transcript.pyannote[2023].end 10247.74596875
transcript.pyannote[2024].speaker SPEAKER_05
transcript.pyannote[2024].start 10248.70784375
transcript.pyannote[2024].end 10251.13784375
transcript.pyannote[2025].speaker SPEAKER_05
transcript.pyannote[2025].start 10251.52596875
transcript.pyannote[2025].end 10254.79971875
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 10255.99784375
transcript.pyannote[2026].end 10256.72346875
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 10257.61784375
transcript.pyannote[2027].end 10258.71471875
transcript.pyannote[2028].speaker SPEAKER_00
transcript.pyannote[2028].start 10260.79034375
transcript.pyannote[2028].end 10261.71846875
transcript.pyannote[2029].speaker SPEAKER_00
transcript.pyannote[2029].start 10262.15721875
transcript.pyannote[2029].end 10262.69721875
transcript.pyannote[2030].speaker SPEAKER_00
transcript.pyannote[2030].start 10263.08534375
transcript.pyannote[2030].end 10283.47034375
transcript.pyannote[2031].speaker SPEAKER_00
transcript.pyannote[2031].start 10283.87534375
transcript.pyannote[2031].end 10288.41471875
transcript.pyannote[2032].speaker SPEAKER_00
transcript.pyannote[2032].start 10288.97159375
transcript.pyannote[2032].end 10290.30471875
transcript.pyannote[2033].speaker SPEAKER_00
transcript.pyannote[2033].start 10291.87409375
transcript.pyannote[2033].end 10293.74721875
transcript.pyannote[2034].speaker SPEAKER_00
transcript.pyannote[2034].start 10294.18596875
transcript.pyannote[2034].end 10312.10721875
transcript.pyannote[2035].speaker SPEAKER_05
transcript.pyannote[2035].start 10313.10284375
transcript.pyannote[2035].end 10316.19096875
transcript.pyannote[2036].speaker SPEAKER_05
transcript.pyannote[2036].start 10317.10221875
transcript.pyannote[2036].end 10327.63221875
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 10328.52659375
transcript.pyannote[2037].end 10343.05596875
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 10344.00096875
transcript.pyannote[2038].end 10352.89409375
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 10353.09659375
transcript.pyannote[2039].end 10362.05721875
transcript.pyannote[2040].speaker SPEAKER_25
transcript.pyannote[2040].start 10362.49596875
transcript.pyannote[2040].end 10384.58534375
transcript.pyannote[2041].speaker SPEAKER_25
transcript.pyannote[2041].start 10385.15909375
transcript.pyannote[2041].end 10401.05534375
transcript.pyannote[2042].speaker SPEAKER_25
transcript.pyannote[2042].start 10401.51096875
transcript.pyannote[2042].end 10415.06159375
transcript.pyannote[2043].speaker SPEAKER_00
transcript.pyannote[2043].start 10407.16409375
transcript.pyannote[2043].end 10407.41721875
transcript.pyannote[2044].speaker SPEAKER_25
transcript.pyannote[2044].start 10415.60159375
transcript.pyannote[2044].end 10423.21221875
transcript.pyannote[2045].speaker SPEAKER_05
transcript.pyannote[2045].start 10423.81971875
transcript.pyannote[2045].end 10442.60159375
transcript.pyannote[2046].speaker SPEAKER_05
transcript.pyannote[2046].start 10444.01909375
transcript.pyannote[2046].end 10454.29596875
transcript.pyannote[2047].speaker SPEAKER_25
transcript.pyannote[2047].start 10454.98784375
transcript.pyannote[2047].end 10455.51096875
transcript.pyannote[2048].speaker SPEAKER_25
transcript.pyannote[2048].start 10456.11846875
transcript.pyannote[2048].end 10457.89034375
transcript.pyannote[2049].speaker SPEAKER_25
transcript.pyannote[2049].start 10458.10971875
transcript.pyannote[2049].end 10458.98721875
transcript.pyannote[2050].speaker SPEAKER_25
transcript.pyannote[2050].start 10459.20659375
transcript.pyannote[2050].end 10461.23159375
transcript.pyannote[2051].speaker SPEAKER_25
transcript.pyannote[2051].start 10461.55221875
transcript.pyannote[2051].end 10463.69534375
transcript.pyannote[2052].speaker SPEAKER_25
transcript.pyannote[2052].start 10463.93159375
transcript.pyannote[2052].end 10485.24471875
transcript.pyannote[2053].speaker SPEAKER_25
transcript.pyannote[2053].start 10485.59909375
transcript.pyannote[2053].end 10522.15034375
transcript.pyannote[2054].speaker SPEAKER_05
transcript.pyannote[2054].start 10522.99409375
transcript.pyannote[2054].end 10523.33159375
transcript.pyannote[2055].speaker SPEAKER_05
transcript.pyannote[2055].start 10524.00659375
transcript.pyannote[2055].end 10531.22909375
transcript.pyannote[2056].speaker SPEAKER_05
transcript.pyannote[2056].start 10531.71846875
transcript.pyannote[2056].end 10532.76471875
transcript.pyannote[2057].speaker SPEAKER_25
transcript.pyannote[2057].start 10534.48596875
transcript.pyannote[2057].end 10536.86534375
transcript.pyannote[2058].speaker SPEAKER_25
transcript.pyannote[2058].start 10536.93284375
transcript.pyannote[2058].end 10540.74659375
transcript.pyannote[2059].speaker SPEAKER_25
transcript.pyannote[2059].start 10540.86471875
transcript.pyannote[2059].end 10543.76721875
transcript.pyannote[2060].speaker SPEAKER_25
transcript.pyannote[2060].start 10543.93596875
transcript.pyannote[2060].end 10545.53909375
transcript.pyannote[2061].speaker SPEAKER_25
transcript.pyannote[2061].start 10545.62346875
transcript.pyannote[2061].end 10547.53034375
transcript.pyannote[2062].speaker SPEAKER_25
transcript.pyannote[2062].start 10547.85096875
transcript.pyannote[2062].end 10550.24721875
transcript.pyannote[2063].speaker SPEAKER_16
transcript.pyannote[2063].start 10550.48346875
transcript.pyannote[2063].end 10550.80409375
transcript.pyannote[2064].speaker SPEAKER_25
transcript.pyannote[2064].start 10550.80409375
transcript.pyannote[2064].end 10558.56659375
transcript.pyannote[2065].speaker SPEAKER_25
transcript.pyannote[2065].start 10558.70159375
transcript.pyannote[2065].end 10572.04971875
transcript.pyannote[2066].speaker SPEAKER_05
transcript.pyannote[2066].start 10572.80909375
transcript.pyannote[2066].end 10577.65221875
transcript.pyannote[2067].speaker SPEAKER_05
transcript.pyannote[2067].start 10578.31034375
transcript.pyannote[2067].end 10579.28909375
transcript.pyannote[2068].speaker SPEAKER_25
transcript.pyannote[2068].start 10580.43659375
transcript.pyannote[2068].end 10610.11971875
transcript.pyannote[2069].speaker SPEAKER_25
transcript.pyannote[2069].start 10610.22096875
transcript.pyannote[2069].end 10625.88096875
transcript.pyannote[2070].speaker SPEAKER_11
transcript.pyannote[2070].start 10627.90596875
transcript.pyannote[2070].end 10628.24346875
transcript.pyannote[2071].speaker SPEAKER_11
transcript.pyannote[2071].start 10628.58096875
transcript.pyannote[2071].end 10629.55971875
transcript.pyannote[2072].speaker SPEAKER_11
transcript.pyannote[2072].start 10630.08284375
transcript.pyannote[2072].end 10635.02721875
transcript.pyannote[2073].speaker SPEAKER_25
transcript.pyannote[2073].start 10633.69409375
transcript.pyannote[2073].end 10634.03159375
transcript.pyannote[2074].speaker SPEAKER_08
transcript.pyannote[2074].start 10634.03159375
transcript.pyannote[2074].end 10634.30159375
transcript.pyannote[2075].speaker SPEAKER_11
transcript.pyannote[2075].start 10635.71909375
transcript.pyannote[2075].end 10639.60034375
transcript.pyannote[2076].speaker SPEAKER_08
transcript.pyannote[2076].start 10636.42784375
transcript.pyannote[2076].end 10637.13659375
transcript.pyannote[2077].speaker SPEAKER_08
transcript.pyannote[2077].start 10637.49096875
transcript.pyannote[2077].end 10638.01409375
transcript.pyannote[2078].speaker SPEAKER_08
transcript.pyannote[2078].start 10638.63846875
transcript.pyannote[2078].end 10640.56221875
transcript.pyannote[2079].speaker SPEAKER_08
transcript.pyannote[2079].start 10641.77721875
transcript.pyannote[2079].end 10646.02971875
transcript.pyannote[2080].speaker SPEAKER_11
transcript.pyannote[2080].start 10641.94596875
transcript.pyannote[2080].end 10641.96284375
transcript.pyannote[2081].speaker SPEAKER_05
transcript.pyannote[2081].start 10641.96284375
transcript.pyannote[2081].end 10642.28346875
transcript.pyannote[2082].speaker SPEAKER_05
transcript.pyannote[2082].start 10644.15659375
transcript.pyannote[2082].end 10644.91596875
transcript.pyannote[2083].speaker SPEAKER_05
transcript.pyannote[2083].start 10646.02971875
transcript.pyannote[2083].end 10647.37971875
transcript.pyannote[2084].speaker SPEAKER_05
transcript.pyannote[2084].start 10647.81846875
transcript.pyannote[2084].end 10649.79284375
transcript.pyannote[2085].speaker SPEAKER_05
transcript.pyannote[2085].start 10650.65346875
transcript.pyannote[2085].end 10651.75034375
transcript.pyannote[2086].speaker SPEAKER_11
transcript.pyannote[2086].start 10652.67846875
transcript.pyannote[2086].end 10659.25971875
transcript.pyannote[2087].speaker SPEAKER_18
transcript.pyannote[2087].start 10656.12096875
transcript.pyannote[2087].end 10656.15471875
transcript.pyannote[2088].speaker SPEAKER_18
transcript.pyannote[2088].start 10658.97284375
transcript.pyannote[2088].end 10659.93471875
transcript.pyannote[2089].speaker SPEAKER_11
transcript.pyannote[2089].start 10659.52971875
transcript.pyannote[2089].end 10661.58846875
transcript.pyannote[2090].speaker SPEAKER_07
transcript.pyannote[2090].start 10660.00221875
transcript.pyannote[2090].end 10662.17909375
transcript.pyannote[2091].speaker SPEAKER_18
transcript.pyannote[2091].start 10662.17909375
transcript.pyannote[2091].end 10662.19596875
transcript.pyannote[2092].speaker SPEAKER_11
transcript.pyannote[2092].start 10662.19596875
transcript.pyannote[2092].end 10670.05971875
transcript.pyannote[2093].speaker SPEAKER_05
transcript.pyannote[2093].start 10665.43596875
transcript.pyannote[2093].end 10669.97534375
transcript.pyannote[2094].speaker SPEAKER_05
transcript.pyannote[2094].start 10670.05971875
transcript.pyannote[2094].end 10670.21159375
transcript.pyannote[2095].speaker SPEAKER_11
transcript.pyannote[2095].start 10670.21159375
transcript.pyannote[2095].end 10670.78534375
transcript.pyannote[2096].speaker SPEAKER_05
transcript.pyannote[2096].start 10670.78534375
transcript.pyannote[2096].end 10670.93721875
transcript.pyannote[2097].speaker SPEAKER_11
transcript.pyannote[2097].start 10670.93721875
transcript.pyannote[2097].end 10670.97096875
transcript.pyannote[2098].speaker SPEAKER_05
transcript.pyannote[2098].start 10670.97096875
transcript.pyannote[2098].end 10671.76409375
transcript.pyannote[2099].speaker SPEAKER_11
transcript.pyannote[2099].start 10671.22409375
transcript.pyannote[2099].end 10671.66284375
transcript.pyannote[2100].speaker SPEAKER_05
transcript.pyannote[2100].start 10672.99596875
transcript.pyannote[2100].end 10677.41721875
transcript.pyannote[2101].speaker SPEAKER_08
transcript.pyannote[2101].start 10674.02534375
transcript.pyannote[2101].end 10674.34596875
transcript.pyannote[2102].speaker SPEAKER_08
transcript.pyannote[2102].start 10677.65346875
transcript.pyannote[2102].end 10681.66971875
transcript.pyannote[2103].speaker SPEAKER_11
transcript.pyannote[2103].start 10680.47159375
transcript.pyannote[2103].end 10681.58534375
transcript.pyannote[2104].speaker SPEAKER_11
transcript.pyannote[2104].start 10681.66971875
transcript.pyannote[2104].end 10682.86784375
transcript.pyannote[2105].speaker SPEAKER_11
transcript.pyannote[2105].start 10684.25159375
transcript.pyannote[2105].end 10688.50409375
transcript.pyannote[2106].speaker SPEAKER_11
transcript.pyannote[2106].start 10689.12846875
transcript.pyannote[2106].end 10692.84096875
transcript.pyannote[2107].speaker SPEAKER_11
transcript.pyannote[2107].start 10693.31346875
transcript.pyannote[2107].end 10693.34721875
transcript.pyannote[2108].speaker SPEAKER_08
transcript.pyannote[2108].start 10693.34721875
transcript.pyannote[2108].end 10693.73534375
transcript.pyannote[2109].speaker SPEAKER_11
transcript.pyannote[2109].start 10694.30909375
transcript.pyannote[2109].end 10694.32596875
transcript.pyannote[2110].speaker SPEAKER_08
transcript.pyannote[2110].start 10694.32596875
transcript.pyannote[2110].end 10695.32159375
transcript.pyannote[2111].speaker SPEAKER_08
transcript.pyannote[2111].start 10696.30034375
transcript.pyannote[2111].end 10708.26471875
transcript.pyannote[2112].speaker SPEAKER_08
transcript.pyannote[2112].start 10708.99034375
transcript.pyannote[2112].end 10715.20034375
transcript.pyannote[2113].speaker SPEAKER_08
transcript.pyannote[2113].start 10715.45346875
transcript.pyannote[2113].end 10717.68096875
transcript.pyannote[2114].speaker SPEAKER_08
transcript.pyannote[2114].start 10717.74846875
transcript.pyannote[2114].end 10722.45659375
transcript.pyannote[2115].speaker SPEAKER_08
transcript.pyannote[2115].start 10722.69284375
transcript.pyannote[2115].end 10724.86971875
transcript.pyannote[2116].speaker SPEAKER_08
transcript.pyannote[2116].start 10725.40971875
transcript.pyannote[2116].end 10726.15221875
transcript.pyannote[2117].speaker SPEAKER_08
transcript.pyannote[2117].start 10726.70909375
transcript.pyannote[2117].end 10740.63096875
transcript.pyannote[2118].speaker SPEAKER_08
transcript.pyannote[2118].start 10741.12034375
transcript.pyannote[2118].end 10749.64221875
transcript.pyannote[2119].speaker SPEAKER_08
transcript.pyannote[2119].start 10750.43534375
transcript.pyannote[2119].end 10750.87409375
transcript.pyannote[2120].speaker SPEAKER_08
transcript.pyannote[2120].start 10754.80596875
transcript.pyannote[2120].end 10755.24471875
transcript.pyannote[2121].speaker SPEAKER_08
transcript.pyannote[2121].start 10755.32909375
transcript.pyannote[2121].end 10756.05471875
transcript.pyannote[2122].speaker SPEAKER_08
transcript.pyannote[2122].start 10756.29096875
transcript.pyannote[2122].end 10757.20221875
transcript.pyannote[2123].speaker SPEAKER_08
transcript.pyannote[2123].start 10757.94471875
transcript.pyannote[2123].end 10767.42846875
transcript.pyannote[2124].speaker SPEAKER_17
transcript.pyannote[2124].start 10758.82221875
transcript.pyannote[2124].end 10759.02471875
transcript.pyannote[2125].speaker SPEAKER_05
transcript.pyannote[2125].start 10759.02471875
transcript.pyannote[2125].end 10760.29034375
transcript.pyannote[2126].speaker SPEAKER_17
transcript.pyannote[2126].start 10760.29034375
transcript.pyannote[2126].end 10760.35784375
transcript.pyannote[2127].speaker SPEAKER_08
transcript.pyannote[2127].start 10767.52971875
transcript.pyannote[2127].end 10769.45346875
transcript.pyannote[2128].speaker SPEAKER_05
transcript.pyannote[2128].start 10771.03971875
transcript.pyannote[2128].end 10771.74846875
transcript.pyannote[2129].speaker SPEAKER_11
transcript.pyannote[2129].start 10778.12721875
transcript.pyannote[2129].end 10780.20284375
transcript.pyannote[2130].speaker SPEAKER_11
transcript.pyannote[2130].start 10780.28721875
transcript.pyannote[2130].end 10781.78909375
transcript.pyannote[2131].speaker SPEAKER_05
transcript.pyannote[2131].start 10780.37159375
transcript.pyannote[2131].end 10780.99596875
transcript.pyannote[2132].speaker SPEAKER_05
transcript.pyannote[2132].start 10782.48096875
transcript.pyannote[2132].end 10782.49784375
transcript.pyannote[2133].speaker SPEAKER_11
transcript.pyannote[2133].start 10782.49784375
transcript.pyannote[2133].end 10782.59909375
transcript.pyannote[2134].speaker SPEAKER_25
transcript.pyannote[2134].start 10782.59909375
transcript.pyannote[2134].end 10822.44096875
transcript.pyannote[2135].speaker SPEAKER_11
transcript.pyannote[2135].start 10782.61596875
transcript.pyannote[2135].end 10782.66659375
transcript.pyannote[2136].speaker SPEAKER_05
transcript.pyannote[2136].start 10782.66659375
transcript.pyannote[2136].end 10782.71721875
transcript.pyannote[2137].speaker SPEAKER_11
transcript.pyannote[2137].start 10782.71721875
transcript.pyannote[2137].end 10782.81846875
transcript.pyannote[2138].speaker SPEAKER_05
transcript.pyannote[2138].start 10782.81846875
transcript.pyannote[2138].end 10782.86909375
transcript.pyannote[2139].speaker SPEAKER_05
transcript.pyannote[2139].start 10822.72784375
transcript.pyannote[2139].end 10822.77846875
transcript.pyannote[2140].speaker SPEAKER_08
transcript.pyannote[2140].start 10822.77846875
transcript.pyannote[2140].end 10823.03159375
transcript.pyannote[2141].speaker SPEAKER_05
transcript.pyannote[2141].start 10823.03159375
transcript.pyannote[2141].end 10823.04846875
transcript.pyannote[2142].speaker SPEAKER_08
transcript.pyannote[2142].start 10823.04846875
transcript.pyannote[2142].end 10823.08221875
transcript.pyannote[2143].speaker SPEAKER_05
transcript.pyannote[2143].start 10823.08221875
transcript.pyannote[2143].end 10823.80784375
transcript.pyannote[2144].speaker SPEAKER_05
transcript.pyannote[2144].start 10824.17909375
transcript.pyannote[2144].end 10829.88284375
transcript.pyannote[2145].speaker SPEAKER_25
transcript.pyannote[2145].start 10830.94596875
transcript.pyannote[2145].end 10852.69784375
transcript.pyannote[2146].speaker SPEAKER_05
transcript.pyannote[2146].start 10853.01846875
transcript.pyannote[2146].end 10858.43534375
transcript.pyannote[2147].speaker SPEAKER_05
transcript.pyannote[2147].start 10859.38034375
transcript.pyannote[2147].end 10861.15221875
transcript.pyannote[2148].speaker SPEAKER_00
transcript.pyannote[2148].start 10861.45596875
transcript.pyannote[2148].end 10865.60721875
transcript.pyannote[2149].speaker SPEAKER_00
transcript.pyannote[2149].start 10865.69159375
transcript.pyannote[2149].end 10866.73784375
transcript.pyannote[2150].speaker SPEAKER_00
transcript.pyannote[2150].start 10867.26096875
transcript.pyannote[2150].end 10869.13409375
transcript.pyannote[2151].speaker SPEAKER_00
transcript.pyannote[2151].start 10869.35346875
transcript.pyannote[2151].end 10870.87221875
transcript.pyannote[2152].speaker SPEAKER_00
transcript.pyannote[2152].start 10871.29409375
transcript.pyannote[2152].end 10874.58471875
transcript.pyannote[2153].speaker SPEAKER_00
transcript.pyannote[2153].start 10875.22596875
transcript.pyannote[2153].end 10876.96409375
transcript.pyannote[2154].speaker SPEAKER_00
transcript.pyannote[2154].start 10877.14971875
transcript.pyannote[2154].end 10877.97659375
transcript.pyannote[2155].speaker SPEAKER_05
transcript.pyannote[2155].start 10877.97659375
transcript.pyannote[2155].end 10883.07284375
transcript.pyannote[2156].speaker SPEAKER_05
transcript.pyannote[2156].start 10884.16971875
transcript.pyannote[2156].end 10885.30034375
transcript.pyannote[2157].speaker SPEAKER_19
transcript.pyannote[2157].start 10885.77284375
transcript.pyannote[2157].end 10887.32534375
transcript.pyannote[2158].speaker SPEAKER_19
transcript.pyannote[2158].start 10888.06784375
transcript.pyannote[2158].end 10889.18159375
transcript.pyannote[2159].speaker SPEAKER_19
transcript.pyannote[2159].start 10890.24471875
transcript.pyannote[2159].end 10893.26534375
transcript.pyannote[2160].speaker SPEAKER_19
transcript.pyannote[2160].start 10894.49721875
transcript.pyannote[2160].end 10896.99471875
transcript.pyannote[2161].speaker SPEAKER_19
transcript.pyannote[2161].start 10898.07471875
transcript.pyannote[2161].end 10901.90534375
transcript.pyannote[2162].speaker SPEAKER_19
transcript.pyannote[2162].start 10902.46221875
transcript.pyannote[2162].end 10905.88784375
transcript.pyannote[2163].speaker SPEAKER_19
transcript.pyannote[2163].start 10906.46159375
transcript.pyannote[2163].end 10909.38096875
transcript.pyannote[2164].speaker SPEAKER_19
transcript.pyannote[2164].start 10909.73534375
transcript.pyannote[2164].end 10911.97971875
transcript.pyannote[2165].speaker SPEAKER_19
transcript.pyannote[2165].start 10913.43096875
transcript.pyannote[2165].end 10914.59534375
transcript.pyannote[2166].speaker SPEAKER_19
transcript.pyannote[2166].start 10914.61221875
transcript.pyannote[2166].end 10914.66284375
transcript.pyannote[2167].speaker SPEAKER_25
transcript.pyannote[2167].start 10914.66284375
transcript.pyannote[2167].end 10914.98346875
transcript.pyannote[2168].speaker SPEAKER_19
transcript.pyannote[2168].start 10915.47284375
transcript.pyannote[2168].end 10917.05909375
transcript.pyannote[2169].speaker SPEAKER_25
transcript.pyannote[2169].start 10917.17721875
transcript.pyannote[2169].end 10922.54346875
transcript.pyannote[2170].speaker SPEAKER_19
transcript.pyannote[2170].start 10919.42159375
transcript.pyannote[2170].end 10919.97846875
transcript.pyannote[2171].speaker SPEAKER_25
transcript.pyannote[2171].start 10922.77971875
transcript.pyannote[2171].end 10928.44971875
transcript.pyannote[2172].speaker SPEAKER_25
transcript.pyannote[2172].start 10928.75346875
transcript.pyannote[2172].end 10955.50034375
transcript.pyannote[2173].speaker SPEAKER_25
transcript.pyannote[2173].start 10955.56784375
transcript.pyannote[2173].end 10960.15784375
transcript.pyannote[2174].speaker SPEAKER_25
transcript.pyannote[2174].start 10960.68096875
transcript.pyannote[2174].end 10967.38034375
transcript.pyannote[2175].speaker SPEAKER_25
transcript.pyannote[2175].start 10967.83596875
transcript.pyannote[2175].end 10976.29034375
transcript.pyannote[2176].speaker SPEAKER_19
transcript.pyannote[2176].start 10977.01596875
transcript.pyannote[2176].end 10978.90596875
transcript.pyannote[2177].speaker SPEAKER_19
transcript.pyannote[2177].start 10979.96909375
transcript.pyannote[2177].end 10982.46659375
transcript.pyannote[2178].speaker SPEAKER_25
transcript.pyannote[2178].start 10982.46659375
transcript.pyannote[2178].end 10982.98971875
transcript.pyannote[2179].speaker SPEAKER_19
transcript.pyannote[2179].start 10982.98971875
transcript.pyannote[2179].end 10983.36096875
transcript.pyannote[2180].speaker SPEAKER_19
transcript.pyannote[2180].start 10983.98534375
transcript.pyannote[2180].end 10986.24659375
transcript.pyannote[2181].speaker SPEAKER_25
transcript.pyannote[2181].start 10987.05659375
transcript.pyannote[2181].end 10987.09034375
transcript.pyannote[2182].speaker SPEAKER_19
transcript.pyannote[2182].start 10987.09034375
transcript.pyannote[2182].end 10988.06909375
transcript.pyannote[2183].speaker SPEAKER_25
transcript.pyannote[2183].start 10987.10721875
transcript.pyannote[2183].end 10988.50784375
transcript.pyannote[2184].speaker SPEAKER_19
transcript.pyannote[2184].start 10989.53721875
transcript.pyannote[2184].end 10991.10659375
transcript.pyannote[2185].speaker SPEAKER_19
transcript.pyannote[2185].start 10991.73096875
transcript.pyannote[2185].end 10994.53221875
transcript.pyannote[2186].speaker SPEAKER_19
transcript.pyannote[2186].start 10995.59534375
transcript.pyannote[2186].end 10996.01721875
transcript.pyannote[2187].speaker SPEAKER_19
transcript.pyannote[2187].start 10996.11846875
transcript.pyannote[2187].end 10998.16034375
transcript.pyannote[2188].speaker SPEAKER_19
transcript.pyannote[2188].start 10998.75096875
transcript.pyannote[2188].end 11000.28659375
transcript.pyannote[2189].speaker SPEAKER_19
transcript.pyannote[2189].start 11000.67471875
transcript.pyannote[2189].end 11002.41284375
transcript.pyannote[2190].speaker SPEAKER_19
transcript.pyannote[2190].start 11002.66596875
transcript.pyannote[2190].end 11005.78784375
transcript.pyannote[2191].speaker SPEAKER_12
transcript.pyannote[2191].start 11006.31096875
transcript.pyannote[2191].end 11008.97721875
transcript.pyannote[2192].speaker SPEAKER_19
transcript.pyannote[2192].start 11006.49659375
transcript.pyannote[2192].end 11006.56409375
transcript.pyannote[2193].speaker SPEAKER_19
transcript.pyannote[2193].start 11007.28971875
transcript.pyannote[2193].end 11007.84659375
transcript.pyannote[2194].speaker SPEAKER_08
transcript.pyannote[2194].start 11009.26409375
transcript.pyannote[2194].end 11025.64971875
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 11025.93659375
transcript.pyannote[2195].end 11040.65159375
transcript.pyannote[2196].speaker SPEAKER_05
transcript.pyannote[2196].start 11042.98034375
transcript.pyannote[2196].end 11043.35159375
transcript.pyannote[2197].speaker SPEAKER_05
transcript.pyannote[2197].start 11043.73971875
transcript.pyannote[2197].end 11044.49909375
transcript.pyannote[2198].speaker SPEAKER_05
transcript.pyannote[2198].start 11044.70159375
transcript.pyannote[2198].end 11056.85159375
transcript.pyannote[2199].speaker SPEAKER_05
transcript.pyannote[2199].start 11058.55596875
transcript.pyannote[2199].end 11075.41409375
transcript.pyannote[2200].speaker SPEAKER_25
transcript.pyannote[2200].start 11075.88659375
transcript.pyannote[2200].end 11076.61221875
transcript.pyannote[2201].speaker SPEAKER_05
transcript.pyannote[2201].start 11078.75534375
transcript.pyannote[2201].end 11080.52721875
transcript.pyannote[2202].speaker SPEAKER_05
transcript.pyannote[2202].start 11080.62846875
transcript.pyannote[2202].end 11082.28221875
transcript.pyannote[2203].speaker SPEAKER_05
transcript.pyannote[2203].start 11082.92346875
transcript.pyannote[2203].end 11085.33659375
transcript.pyannote[2204].speaker SPEAKER_05
transcript.pyannote[2204].start 11088.27284375
transcript.pyannote[2204].end 11088.88034375
transcript.pyannote[2205].speaker SPEAKER_05
transcript.pyannote[2205].start 11092.94721875
transcript.pyannote[2205].end 11094.06096875
transcript.pyannote[2206].speaker SPEAKER_05
transcript.pyannote[2206].start 11094.80346875
transcript.pyannote[2206].end 11097.03096875
transcript.pyannote[2207].speaker SPEAKER_05
transcript.pyannote[2207].start 11097.09846875
transcript.pyannote[2207].end 11099.32596875
transcript.pyannote[2208].speaker SPEAKER_05
transcript.pyannote[2208].start 11102.04284375
transcript.pyannote[2208].end 11102.34659375
transcript.pyannote[2209].speaker SPEAKER_08
transcript.pyannote[2209].start 11105.67096875
transcript.pyannote[2209].end 11107.07159375
transcript.pyannote[2210].speaker SPEAKER_05
transcript.pyannote[2210].start 11107.74659375
transcript.pyannote[2210].end 11108.52284375
transcript.whisperx[0].start 427.288
transcript.whisperx[0].end 427.692
transcript.whisperx[0].text 由 Amara.org 社群提供的字幕
transcript.whisperx[1].start 1346.176
transcript.whisperx[1].end 1355.354
transcript.whisperx[1].text 請組密報告初期人數報告委員會初期委員10人已組法定人數現在開會進行報告事項請宣讀上次會議事錄
transcript.whisperx[2].start 1357.489
transcript.whisperx[2].end 1383.523
transcript.whisperx[2].text 立法院第11屆第4會期經紀委員會第18次全體委員會議事錄 時間114年12月31日星期三9時至11時45分 地點紅樓101會議室初期委員邱盈盈等14人 列席委員蘇巧愛等9人列席人員農業部部長陳俊濟等 主席楊朝景委員瓊英報告事項 宣讀上次會議事錄決定 確定 討論事項繼續審查 依本院委員林一錦等22人
transcript.whisperx[3].start 1384.383
transcript.whisperx[3].end 1408.689
transcript.whisperx[3].text 委員劉建國等16人 委員徐曉新等17人 委員李昆城等22人委員廖先祥等19人 台灣民眾黨黨團委員郭玉琴等16人 委員羅廷瑋等18人 委員林思明等18人 委員洪孟楷等16人 委員蘇巧慧等17人委員吳清明等17人 委員陳亭飛等16人 分別擬具動物保護法部分條件修正草案等13案2 本院委員呂毅霖等16人 委員張志倫等16人 委員
transcript.whisperx[4].start 1409.57
transcript.whisperx[4].end 1414.125
transcript.whisperx[4].text 叶人志等17年分别拟据《动物保护法》第十条条文修正草案等三案
transcript.whisperx[5].start 1415.476
transcript.whisperx[5].end 1438.345
transcript.whisperx[5].text 3.本院委員呂毅霖等16人 委員張宏祿等17人 委員郭益晴等16人 委員楊瓊瑩等21人分別擬據《動物保護法》第25條及第25條之1條原修正草案等次案4.本院台灣民眾黨黨團委員岳元之等17人 分別擬據《動物保護法》第25條之2條原修正草案等二案5.本院委員林黛樺等21人擬據《動物保護法》第14條之1 第14條之2及第30條條原修正草案
transcript.whisperx[6].start 1441.147
transcript.whisperx[6].end 1456.705
transcript.whisperx[6].text 6.本院委員鄭天才等16人拟據《動物保護法》第2條及第10條條案修正草案7.本院委員陳婷菲等18人拟據《動物保護法》第5條第20條及第25條條案修正草案8.本院台灣民眾黨黨團拟據《動物保護法》第2條及第5條條案修正草案
transcript.whisperx[7].start 1458.118
transcript.whisperx[7].end 1477.994
transcript.whisperx[7].text 9.本院委員葉元芝等17人 委員郭玉琴等21人分別擬據《動物保護法》增訂第14條之3條修正草案等2案10.本院委員葉元芝等17人 委員吳佩儀等16人分別擬據《動物保護法》第25條條修正草案等2案11.本院委員游皓等23人擬據《動物保護法》第25條之1條修正草案
transcript.whisperx[8].start 1478.835
transcript.whisperx[8].end 1490.116
transcript.whisperx[8].text 12 本院委員吳佩儀等17人拟據《動物保護法》第22條之4調研修正長案13 本院委員賴銳榮等17人拟據《動物保護法》第2條及第6條之2調研修正長案14
transcript.whisperx[9].start 1491.38
transcript.whisperx[9].end 1517.086
transcript.whisperx[9].text 本院委員鄭振銓等19人擬拒動物保護法第32條條文修正查案15本院委員羅志強等16人擬拒動物保護法第23條條文修正查案16本院委員郭益勤等19人擬拒動物保護法第25條之二及第33條之二條文修正查案17本院委員邱若驊等16人擬拒動物保護法第25條之二第33條之二及第33條之三條文修正查案
transcript.whisperx[10].start 1517.946
transcript.whisperx[10].end 1536.511
transcript.whisperx[10].text 18 本院委員賴銳龍等16人擬拒《動物保護法》第3條及第5條條件修正草案決議所有委員提案與委員謝一鳳等人委員陳昌明 徐巧欣等人委員林黛華 林黛華 郭玉琴等人委員蔡依儀 張雅琳等人所提修正動議及附帶決議一項均應定期繼續審查 散會宣讀完畢我們進行討論事項 請一併宣讀
transcript.whisperx[11].start 1544.6
transcript.whisperx[11].end 1569.882
transcript.whisperx[11].text 審查本院委員陳婷菲等16人擬據農業科技園區設置管理條例增訂第15條之一 條文修正查案二 審查本院委員李柏毅等16人擬據植物品種及種苗法第53條之一 條文修正查案三 審查一本院委員陳婷菲等16人擬據農產品市場交易法第6條及第35條條文修正查案二 本院委員邱益穎等20人擬據
transcript.whisperx[12].start 1571.403
transcript.whisperx[12].end 1594.209
transcript.whisperx[12].text 農產品市場交易法第15條調研修正草案3 本院委員陳盈瑩等16人理據農產品市場交易法第10條調研修正草案宣讀完畢我們來介紹我們在場的官員我們的陳俊基部長還有農糧署姚世元署長漁業署王茂成署長
transcript.whisperx[13].start 1595.649
transcript.whisperx[13].end 1615.683
transcript.whisperx[13].text 林業及自然保育署處長汪昭華 汪處長農業科技園區管理中心主任謝聖信 謝主任花卉創新園區研發中心主任戴廷恩 不好意思戴廷恩 鄧主任然後經濟部我們商發署組長蕭旭東
transcript.whisperx[14].start 1619.195
transcript.whisperx[14].end 1634.168
transcript.whisperx[14].text 主长然后我们台堂副总经理胡冲平胡副总然后内政部内政部护政师检认视察还有我们的副退署副组长保护部参事谢谢
transcript.whisperx[15].start 1638.201
transcript.whisperx[15].end 1661.814
transcript.whisperx[15].text 本日议程所列讨论事项有三个法案分别为农业科技园区设置管理条例增订第15条之一条文草案植物品种及种苗法第53条之一条文修正草案及农产品市场交易法部分条文修正草案本日会议来进行巡大及处理
transcript.whisperx[16].start 1663.649
transcript.whisperx[16].end 1668.88
transcript.whisperx[16].text 我們現在請農業部陳居進部長就委員提案版本合併報告
transcript.whisperx[17].start 1680.197
transcript.whisperx[17].end 1697.684
transcript.whisperx[17].text 主席 各位委員 各位女士 各位先生 大家早今天奉邀參加大院經濟委員會審查有關於農業科技園區設置管理條文的徵修條文以及植物品種及種苗法第53條之一的修正草案
transcript.whisperx[18].start 1699.024
transcript.whisperx[18].end 1710.851
transcript.whisperx[18].text 農產品交易法第六條第十條第十五條及第三十五條的一個修正條文的一個草案那以下警局農業部中整各委員的版本提出以下的一個說明
transcript.whisperx[19].start 1713.496
transcript.whisperx[19].end 1734.737
transcript.whisperx[19].text 那先針對農業科技園區設置管理條例徵定的第15條之一的一個條文草案那這個條文的草案基本上是新增的一個條文那是由陳庭惠委員所提案的那整個條文最主要的一個修正的一個原因就是原來設置條例裡面
transcript.whisperx[20].start 1735.896
transcript.whisperx[20].end 1752.806
transcript.whisperx[20].text 是針對有關於園區的部分但是後來整個農業科技園區增加了有關於蘭花葉子那蘭花葉子過往基本上都是自然人或是相關的這些獨自的一個商號所以由陳委員所提案的這個部分
transcript.whisperx[21].start 1753.366
transcript.whisperx[21].end 1776.284
transcript.whisperx[21].text 是針對相關的這些園區屬於自然人或獨自的商號能夠繼續從事這樣的一個行業同時他在後續的相關的發生繼承的事實的時候能夠繼續能夠有證語或是配偶或是直系親屬二等親的一個繼承那基本上農業部支持這樣的一個修正
transcript.whisperx[22].start 1777.064
transcript.whisperx[22].end 1802.182
transcript.whisperx[22].text 那也建議說這樣的一個修正能夠追溯到適用的一個範圍但是農業部根據法條的規範的體力我們有做了一些文字上的一個修正但是基本上是一樣的那最重要的是我們又增加了第三項的部分就是希望因為在修法之前還有一段時間那是已經有從事這樣的一個計程的事實也能夠適用前面的規範
transcript.whisperx[23].start 1804.622
transcript.whisperx[23].end 1830.037
transcript.whisperx[23].text 那第二個部分是有關於植物品種及種苗法第53條之一的條文的修正案那第53條之一最主要是針對違反了我們農業部中央儲管機關公告的限制或禁止輸出的時候如果違反這樣的一個行為的時候的一個處罰那原先的處罰本身是60萬到300萬的一個罰金這是沒有變的
transcript.whisperx[24].start 1833.619
transcript.whisperx[24].end 1851.472
transcript.whisperx[24].text 那李博義委員所提出來的是在新增了第三項那第三項的部分他是將這些行為傳播宣傳有使他人效仿違法的行為的時候會加重其刑制二分之一那
transcript.whisperx[25].start 1852.613
transcript.whisperx[25].end 1875.323
transcript.whisperx[25].text 農業部的意見是希望說能夠維持現行的條文那最主要的理由就是因為現在目前根據刑法第57條的一個規定如果說犯罪所產生的危險或損害及犯後的這些相關的態度可以加重其刑責的一個這樣的一個規定那當你有這樣的一個行為傳播的時候那
transcript.whisperx[26].start 1876.303
transcript.whisperx[26].end 1890.403
transcript.whisperx[26].text 那個法官到時候的裁量的時候就有加重期刑的規定那如果說這樣子一個一個行為的部分有時候比較難判斷而且不明確或者難以認定那不利於我們對這條法規後續的一個執行
transcript.whisperx[27].start 1893.479
transcript.whisperx[27].end 1912.316
transcript.whisperx[27].text 那第三個部分是農產品交易法第6條第10條第15條及第35條的一個修正草案那第6條的部分是農產品交易不得壟斷操縱價格那陳廷輝委員所提的第6條的修正是在第一項跟第二項
transcript.whisperx[28].start 1913.217
transcript.whisperx[28].end 1940.47
transcript.whisperx[28].text 那基本上陳委員所提的是針對市場交易秩序或行為造成危害他加了這樣的一個文字就是任何人不可以這樣做不得以市場交易秩序或行為的一個謠言的一個不實訊息那基本上農業部是支持這樣子的一個文字的一個修正但是農業部認為原來條文裡面的就是謀取不正當的利益應該還是繼續維持的因為
transcript.whisperx[29].start 1942.971
transcript.whisperx[29].end 1964.966
transcript.whisperx[29].text 謀取不正當的利益它是比較有實質上的一個判斷性那至於說有關於市場交易次序這個部分我們也同意放但是我們是建議說行為這兩個字可以拿掉因為最重要的是當你維持次序它是一個結果行為是一個過程
transcript.whisperx[30].start 1965.826
transcript.whisperx[30].end 1979.172
transcript.whisperx[30].text 所以在次序上如果說我們已經放進去的話那行為的過程裡面我們是希望說這個過程裡面那我們可以從最後的結果來判斷所以委員提案的部分我們是建議著修
transcript.whisperx[31].start 1980.97
transcript.whisperx[31].end 1996.437
transcript.whisperx[31].text 那第二個部分是第10條的部分那農民團體共同運銷的及我所需的場地它適同農業用地然後適用第15條的一個規定那這個基本上農業部去支持這樣的一個修法
transcript.whisperx[32].start 1996.897
transcript.whisperx[32].end 2020.867
transcript.whisperx[32].text 那這個修法最主要是這一條是很明確的去定義當你前面的這些農民團體的共同運銷的集貨場地它最重要的是它的房屋稅及地價稅可以減半來徵收那原來條文它是適用第15條的規定那一旦第15條的規定因為它還有其他的一個規定就會造成有一些
transcript.whisperx[33].start 2022.082
transcript.whisperx[33].end 2030.072
transcript.whisperx[33].text 有一些疑慮 所以我們也支持 就是陳瑩跟莊瑞雄委員的一個提案是能夠做這樣的一個修正
transcript.whisperx[34].start 2030.987
transcript.whisperx[34].end 2057.278
transcript.whisperx[34].text 那至於說第15條的部分第15條的部分最主要是強調整個農產品批發市場的所有的公有土地那政府應該出租或是依照公告限職受讓那對於私有土地的話是由洽購或依法徵收這個部分那有關於邱議員委員跟林楚英委員等20人所提的部分也是修正那第一項跟第二項
transcript.whisperx[35].start 2058.098
transcript.whisperx[35].end 2077.04
transcript.whisperx[35].text 那邱委員所提到的是增加了以其他合作開發的方式取得資然後針對私有地的部分有增加了租用的部分然後另外針對國營事業所有的這些土地的部分可以合作開發以
transcript.whisperx[36].start 2078.562
transcript.whisperx[36].end 2096.625
transcript.whisperx[36].text 相關的一個方式取得那農業部基本上是支持這樣子的一個修正但是可能在條文上面可能會做部分的一個建議那第一個建議就是說在整個的這個法條的體力上我們做了一個修正那第二個部分是
transcript.whisperx[37].start 2097.799
transcript.whisperx[37].end 2118.964
transcript.whisperx[37].text 我們最主要的私有地我們大概只能處理到所謂的那個國營事業的部分那其他的一般私有地的話因為他屬於私財產權那政府沒辦法去介入就是說要去徵收或其他的部分所以我們把那個條文經過修正了以後在公有地的部分大概
transcript.whisperx[38].start 2119.684
transcript.whisperx[38].end 2136.417
transcript.whisperx[38].text 跟委內班門是一樣的但是在私有地的部分我們限定是在國營事業土地為限而且我們會強調他一定要經過中央主管機關核准他不能說直接就由國營事業直接去做相關的一個作為
transcript.whisperx[39].start 2137.057
transcript.whisperx[39].end 2154.566
transcript.whisperx[39].text 那同時因為批發市場它一旦建設以後它是一個比較長久的一個建設那我們希望說如果是租用的時候它使用的期限不得少於20年那這個部分我想我特別再跟委員說明那等一下也許在版本討論的時候我們會更詳細的一個說明
transcript.whisperx[40].start 2158.547
transcript.whisperx[40].end 2182.138
transcript.whisperx[40].text 那第35條的部分是相關於處罰的這些划環的部分那陳情委委員這邊的建議就是違反了第6條第1項跟第14項的一個規定那這些規定本身本來是除以6萬到30萬那委員是提高30萬到3000萬的部分那這個部分我想
transcript.whisperx[41].start 2182.958
transcript.whisperx[41].end 2201.543
transcript.whisperx[41].text 我們可以分兩個部分來說明因為違反第十四條第一項的部分那它是針對批發市場那批發市場本身它的一個華為的額度提高那本部是支持的部分但是在違反第六條的第一項跟第二項
transcript.whisperx[42].start 2202.583
transcript.whisperx[42].end 2221.501
transcript.whisperx[42].text 的規定那這兩個規定是針對承銷人跟自然人那農業部的立場是我們處罰對於自然人或是個人的一個處罰的金額跟批發市場的經營者處罰的金額應該是有所區別那對於第六條
transcript.whisperx[43].start 2223.223
transcript.whisperx[43].end 2251.064
transcript.whisperx[43].text 針對個人的部分那因為考量到法規的一個橫平性那還有那個相關的一個處罰的內容應該跟其他的法規要有橫平性並已經考量到行政法裡面的第18條那針對所得利益超過法定法案最高額的不受法定裁罰最高的限制所以我們是建議維持現在的一個規定的一個額度那以上做這樣的報告
transcript.whisperx[44].start 2256.873
transcript.whisperx[44].end 2284.189
transcript.whisperx[44].text 有關本次會議各部會所提的書面報告請委員自行參閱並刊登公報本任議程所列討論事項和並循單分開處理委員諮詢前依照往例我們做以下的宣告每位委員發言時間本會委員4分鐘必要時得延長2分鐘非本會委員3分鐘上午10點30分截止發言登記我們首先請第一位登記發言的邱穎委員發言
transcript.whisperx[45].start 2294.861
transcript.whisperx[45].end 2298.556
transcript.whisperx[45].text 好谢谢主席我请一下陈部长我们请陈部长
transcript.whisperx[46].start 2304.892
transcript.whisperx[46].end 2325.748
transcript.whisperx[46].text 部長好部長謝謝您剛才對於本席提案的這個說明我還是來讓部長看一下當時提案的理由其實是為了解決我們高雄果菜市場到現在不敷使用的這個狀態高雄的果菜批發市場是成立在民國64年那我們的年交易量大概是10到11萬公噸
transcript.whisperx[47].start 2328.109
transcript.whisperx[47].end 2352.36
transcript.whisperx[47].text 這個規模大概是全南台灣大概是最大這個我想部長你也很清楚左下這一個圖就是現在的果菜批發市場的限值這個大概是2點幾公頃那右邊這個圖是我們現在高雄市政府新找到的位在台塘的土地上面是在仁武在果實的旁邊這個大概是6公頃左右
transcript.whisperx[48].start 2353.3
transcript.whisperx[48].end 2375.31
transcript.whisperx[48].text 部長那你看一下為什麼我會提案修法希望能夠來盡速解決這個批發市場的問題高雄的這個果菜批發市場只有2.5公頃你看到在批發做買賣的時候這個動線非常的混亂拍賣的空間非常非常的小甚至我們連廢棄物的處理都是非常受限的
transcript.whisperx[49].start 2376.03
transcript.whisperx[49].end 2393.818
transcript.whisperx[49].text 但是要解決這個問題當然我們要去找土地嘛現在最好的土地當然就是國營事業包括台塘的土地是可供使用的但是台塘的規定是他只租不售但是我們的原來的農產品市場交易法裡頭又規定我們只能買
transcript.whisperx[50].start 2395.138
transcript.whisperx[50].end 2414.754
transcript.whisperx[50].text 對於這個果菜市場只能買所以這個就跟我們在尋找土地上面就產生一個極大的落差跟困難那謝謝農業部願意很正面的回應本席的這個修法的需求部長 但是我想要請教就是說其實因為台糖是屬於經濟部所管它在國營事業是屬於經濟部所管
transcript.whisperx[51].start 2415.434
transcript.whisperx[51].end 2432.183
transcript.whisperx[51].text 那未來包括農業部提的這個修正的動議修正的條文希望這個東西都要經過主管機關的核可即使高雄市政府送上來也要經過農業部的核可未來在農業部跟在台糖在國營事業這個中間會不會產生一個gap
transcript.whisperx[52].start 2435.405
transcript.whisperx[52].end 2450.022
transcript.whisperx[52].text 有沒有辦法農業部成立一個專責的窗口來協助各縣市政府解決處理跟比如說未來我們跟國營事業跟台糖之間的這些土地不管是租啦或者是協議啦或者是徵收的這些問題部長
transcript.whisperx[53].start 2452.203
transcript.whisperx[53].end 2467.359
transcript.whisperx[53].text 謝謝委員的一個詢問那我想未來如果在食物執行面的部分我相信農業部跟經濟部本身的一個互動我們就有聯繫窗口那同樣的就是我們農業部也有代表參加台堂的董事會
transcript.whisperx[54].start 2468.18
transcript.whisperx[54].end 2492.098
transcript.whisperx[54].text 那因為整個土地如果要租用的話在台塘的過程我所知道在台塘一定要經過董事會同意那相對的就是我們的代表在台塘的時候就可以充分的說明他的一個必要性跟合理性這個部分那我相信台塘這邊的部分那相關的就是我們會先核定這個主管基這個土地是當作批發市場農業部那台塘的土地是不是出租是由
transcript.whisperx[55].start 2492.618
transcript.whisperx[55].end 2520.959
transcript.whisperx[55].text 由台黨董事會同意以後報經濟部的部分所以兩個部分我想我們會有一個比較好的溝通在農業部是由我們的農糧署當做一個窗口那在跟台黨溝通的部分我們會透過我們的那個公務董事的部分去那邊做一個溝通然後跟經濟部做一個協商好這個部分因為今天經濟部是誰來國營司嘛副市長對不對其實這個我想請副市長你們帶回去就是在國營司的
transcript.whisperx[56].start 2523.549
transcript.whisperx[56].end 2540.923
transcript.whisperx[56].text 這個協調的部分來講我希望能夠把這個時程縮短因為就像您剛您看到我剛舉的這個照片其實我們已經是年久失修那因為卡在這個法條上面卡了太久了所以我們除了修法通過之後
transcript.whisperx[57].start 2541.624
transcript.whisperx[57].end 2567.052
transcript.whisperx[57].text 大概高雄市政府我們會要很快速的來進行後面的這些土地不管是租用啦等等的這些問題所以這個可能要請國營司來大力協助我希望能夠跟農業部這邊來大家來互相配合是不是能夠把這個時程把它縮短趕快讓我們的這個搬遷啟用土地租用的這些事情能夠盡速的進行這個部分國營司能不能同意可以我們可以配合辦理
transcript.whisperx[58].start 2567.728
transcript.whisperx[58].end 2584.594
transcript.whisperx[58].text 好謝謝來請回部長那我接下來要再請教您一個跟時事比較有相關的這個我覺得農糧署最近是不是感覺螺絲有一點鬆其實我在市場上遇到很多不管是農民或者是
transcript.whisperx[59].start 2586.554
transcript.whisperx[59].end 2601.881
transcript.whisperx[59].text 菜農大家都在講我們的很多的蔬菜的管控做的沒有以前的好最近有高麗菜有青花菜的產銷的波動我們過去都會講說我們有做一些管控
transcript.whisperx[60].start 2603.226
transcript.whisperx[60].end 2629.743
transcript.whisperx[60].text 至少那個量不要讓他同時出來或者是那個種植的量不要太多可是為什麼還是會發生這樣的一個狀態那量多了以後又加上冬季進口進口的夾擊你會造成農民對於種植青花菜這件事情價格的崩跌部長你們有沒有什麼解決之道或者是有什麼防治之道嗎因為這個其實我認為在我們在講所謂的智慧農業
transcript.whisperx[61].start 2632.065
transcript.whisperx[61].end 2650.595
transcript.whisperx[61].text 這個東西其實是很基本的好 我跟委員報告一下針對青花菜的部分基本上我們查看了現在面積其實它面積並沒有跟跟去年是差不多的並沒有很大幅的增加那這次的價格會比較低迷最主要是它的產期比較集中因為當時因為從災後以後大家
transcript.whisperx[62].start 2653.697
transcript.whisperx[62].end 2678.064
transcript.whisperx[62].text 同時的復耕的部分這是一個現象的部分那現在看起來從1月份的看起來這個價格已經回升了不過剛才委員講到一個非常重要的就是我們對於整個蔬菜的量的一個產銷的一個調節的部分過往我們是充分的跟北農合作我們有一個總量的部分然後如果說當它的量太多的時候進到批發市場如果量多的話價格一定跌那
transcript.whisperx[63].start 2679.304
transcript.whisperx[63].end 2694.301
transcript.whisperx[63].text 我們會從北農那邊透過相關的一個機制叫產地不要送到北農去做這樣的一個協調那這個部分我想我們之前也跟北農再次的一個一個一個討論特別是我們會支持北農的相關建設但是我們也希望說
transcript.whisperx[64].start 2694.941
transcript.whisperx[64].end 2711.057
transcript.whisperx[64].text 北農在這個部分的產銷條件能夠搭配用總量管制的部分讓他的產品不要都到批發市場而到直銷的這些或是甚至於做部分的那個冷凍的儲藏特別是青蛙菜是可以冷凍儲藏的部分再做後續的釋出
transcript.whisperx[65].start 2711.417
transcript.whisperx[65].end 2738.043
transcript.whisperx[65].text 部長我覺得這個不是說你東西不要送到北農去就可以解決這個問題而是你在整個種植的面積上面種植的量上面從源頭你就要開始管控如果同一時間種一定會同一時間大家都量產出來你要如何分批去種我覺得包括在種苗的釋出上面我認為這個都應該要做前期的規劃不是說我把責任全部推給北農我全部不要送到批發市場上我改成照直銷我覺得
transcript.whisperx[66].start 2739.968
transcript.whisperx[66].end 2761.807
transcript.whisperx[66].text 這個應該是有前後端第一段 第二段 第三段應該是要來同步做規劃做進行喔我希望這個部分 農養署應該還要再持續加強你們在產銷的這個整體的規劃上面這個應該還要再去做加強好 謝謝委員的提醒喔不要每一次量一大的時候我們大家就在想辦法要解決這個問題在收拾爛攤子啊好嗎好 了解謝謝
transcript.whisperx[67].start 2764.294
transcript.whisperx[67].end 2778.643
transcript.whisperx[67].text 謝謝邱穎委員 謝謝部長我們先確定我們的議事錄我們是不是對上次的會議事錄大家有沒有意見沒有的話 我們議事錄確定 謝謝我們現在請陳寧貝委員質詢謝謝主席 我們請部長來 請陳部長
transcript.whisperx[68].start 2799.431
transcript.whisperx[68].end 2819.14
transcript.whisperx[68].text 委員好 部長好部長 我們9月我們的花卉創新園區正式掛牌了 是那現在有一個問題就產生了也是我這一次修法非常重要的一個議題也就是我們整個花卉園區進駐之後我們發現我們目前有68家
transcript.whisperx[69].start 2820.501
transcript.whisperx[69].end 2839.721
transcript.whisperx[69].text 可是我们自然人体独支的商号是达40家那如果依照我们整个农业科技园区的设置管理条例它是必须要以公司法组织的对 股份有限公司才有办法在这里面那你也知道
transcript.whisperx[70].start 2840.953
transcript.whisperx[70].end 2859.187
transcript.whisperx[70].text 在我們的後壁蘭花園區我們花卉園區的前身就是後壁蘭花園區這個當時候是我們台南縣縣政府一路規劃然後這些廠商大家的協助才有看到今天這樣的光景我們才有辦法去打國際牌
transcript.whisperx[71].start 2860.988
transcript.whisperx[71].end 2877.15
transcript.whisperx[71].text 但是呢因為整個的需求度太高我們當時就希望我們從地方的一個量能可以變成是我們政府中央政府的協助量能所以我們也在111年我們做了由中央農委會來掛牌
transcript.whisperx[72].start 2879.4
transcript.whisperx[72].end 2892.419
transcript.whisperx[72].text 那一路走到現在今年九月正式因為我們國發會還有我們整個國家計畫的公建計畫核准所以我們變成了四級單位我們的花會園區那麼
transcript.whisperx[73].start 2894.602
transcript.whisperx[73].end 2916.7
transcript.whisperx[73].text 现在问题来了也是这一次修法的重点所以我们待会会有修正动议就我们要把它修得更完整所以我也同意部长所说的就是说我们要趁这次修法把它修得更完整也就是说目前大家我们的厂商所面临的问题就是他没办法成立公司啊
transcript.whisperx[74].start 2917.461
transcript.whisperx[74].end 2930.793
transcript.whisperx[74].text 他在第一时间进驻的时候他就是小型的一个私人企业根本就没有公司那你现在让他成为公司他有极度的困难另外一个重点继承的问题
transcript.whisperx[75].start 2931.877
transcript.whisperx[75].end 2955.394
transcript.whisperx[75].text 继承的问题所以这个对他们是极尽不公平所以我会提修正统依照我们在整个比较完整性的就是说当然他的继承要以一人因为你好多人也没办法去做确认一人但是呢也就是他们是可以用他们过去的这样的
transcript.whisperx[76].start 2956.315
transcript.whisperx[76].end 2982.263
transcript.whisperx[76].text 身份然後繼續維持在我們的花卉園區創新園區的這樣的一個條件所以這個修完之後我們就可以改變我們現在他們所擔憂的一些問題否則這段時間應該主任就很清楚這個問題是他們現在最擔心害怕的他們資格受到影響所以我覺得這個部分我們今天應該要趕快過
transcript.whisperx[77].start 2983.263
transcript.whisperx[77].end 3002.481
transcript.whisperx[77].text 因為已經有問題產生了包括繼承因為剛好父親在這段時間過世沒有辦法繼承如果我們再拖下去他的權利就會受損所以這個部分我們今天在整個修正動議完之後我們希望今天可以快速的讓他通過部長有沒有問題
transcript.whisperx[78].start 3003.815
transcript.whisperx[78].end 3030.365
transcript.whisperx[78].text 我想沒問題 剛才其實謝謝委員對這個議題的關心因為園區本身過去只有蘭花只有屏東園區它就是農企業進駐的後來蘭花園區併入了以後同樣要用這個社管條例那相對的蘭花園區的屬性跟本來農科園區的屬性是不一樣的所以針對這個獨資跟自然的部分是蘭花園區最主要的一個特質所以我們也非常支持這樣的一個修法
transcript.whisperx[79].start 3030.805
transcript.whisperx[79].end 3058.394
transcript.whisperx[79].text 那这个修法过了以后农业部刚才的版本又增加了一项就是在修法之前已经有这样的一个事实的话我们也希望能够比照办理对那这样的话就是可以缩集追溯对可以追溯这个也很重要所以我们希望它是一个完整性的尤其就像部长所说的我们当时候我们能够去创这个园区时代背景都不一样是
transcript.whisperx[80].start 3058.974
transcript.whisperx[80].end 3087.731
transcript.whisperx[80].text 跟屏東的園區跟我們這邊園區是不一樣的所以我們勢必應該要讓我們的所有蘭花業者會安心這樣我們才可以作為兵不然我們原本要讓他們還有條件結果因為這個條件他們要被排擠掉這就是不對的所以我們希望今天趕快去處理這個部分也是我為什麼要趕快去排這個案子的重點因為我們等很久了我們農業部一直沒有版本送進來
transcript.whisperx[81].start 3088.812
transcript.whisperx[81].end 3105.889
transcript.whisperx[81].text 所以温南克蛋影响他们的权益太大了因为现在已经问题出现了所以我们希望今天要赶快过然后呢另外我们部长刚刚有讲的就是说在整个交易市场的部分这个部分我想部长
transcript.whisperx[82].start 3107.145
transcript.whisperx[82].end 3132.947
transcript.whisperx[82].text 我們是不是可以這樣來調整討論就是說因為我們希望是穩定整個交易市場不要因為有人的哄抬或是刻意去做所有的管控而造成市場的一個交易不公平或是有哄抬物價的一個問題所以剛剛部長所說的如果以承銷人自然人你那個
transcript.whisperx[83].start 3134.128
transcript.whisperx[83].end 3157.789
transcript.whisperx[83].text 整个罚还的部分要有一定的一个标准跟认据否则他也没有办法去负担但是对于批发市场是OK的所以如果我们在这个第35条部分我们把它做调整对于批发市场我们应该要有一个重罚如果我们都比照过去对他们根本不痛不痒
transcript.whisperx[84].start 3158.65
transcript.whisperx[84].end 3187.937
transcript.whisperx[84].text 根本不痛不癢所以如果我們做一個修正針對批發市場我們應該要提高罰款這個OK嗎可以 就像我們農業部建議的版本裡面特別有提到就是違反第14條之一就是違反批發市場的經營者他本身應該要比較重的罰則那對於那個自然人跟承銷人的部分我們希望維持原來的一個罰則因為它跟其他的法規是有橫平性的
transcript.whisperx[85].start 3188.297
transcript.whisperx[85].end 3217.671
transcript.whisperx[85].text 所以我同意你們的說法所以待會我會提修正動力我們一樣因為大家都知道我們台南是很重要的一個所謂的這個農產品的一個出貨地所以我們很害怕每一次很多的農民都跟我們說其實台北花園館我們這裡根本就沒有那個感受所以就表示中間有人剝削了這一塊利益那是誰大家都清楚
transcript.whisperx[86].start 3218.271
transcript.whisperx[86].end 3240.581
transcript.whisperx[86].text 所以我覺得這一塊我們就是要有重罰才能給他們更多的一些約束跟壓力這部分沒有問題吧沒有問題那另外一個部分就是我們國際蘭花展又要展開了現在都在籌備了這個部分部長
transcript.whisperx[87].start 3242.447
transcript.whisperx[87].end 3255.662
transcript.whisperx[87].text 藍花獸你知道它非常熱門現在我們這個花卉創新園區去年不是你們對嗎因為我們9月才掛牌嘛今年是你們
transcript.whisperx[88].start 3257.008
transcript.whisperx[88].end 3277.237
transcript.whisperx[88].text 都是我們農業部啦對 都農業部但是不一樣現在是市集單位喔過去是我們委在屏東我們的農業科技園區裡面這一次是你們市集單位喔自己首次喔首次自己主導喔來我們就看可不可以打出一支好的品牌會
transcript.whisperx[89].start 3279.304
transcript.whisperx[89].end 3301.544
transcript.whisperx[89].text 这一只在去年已经有点夯度了还不是很夯有点夯度了还不是很夯今年把它做出效果好不好做出我们的成效好不好兰花兽喔这个部分我对你们期许因为如果能够有一个非常重要的一个代表性
transcript.whisperx[90].start 3302.762
transcript.whisperx[90].end 3323.98
transcript.whisperx[90].text 你也知道现在网路它的行是有一个代表性所以如果它可以变成是一个代表性它是不一样的我们期待我们期待首次花卉创新园区我们市集单位这个部分怎么样把它做得更好期待谢谢好谢谢 谢谢韦恩
transcript.whisperx[91].start 3335.291
transcript.whisperx[91].end 3347.344
transcript.whisperx[91].text 我們請鄭振淺委員 謝謝謝主席 我想請下農業部陳部長我們請農業部陳部長
transcript.whisperx[92].start 3356.073
transcript.whisperx[92].end 3382.962
transcript.whisperx[92].text 部長好因為今天主席安排了一個農產品市場交易法的一個修法的一個部分所以針對整個農產品產銷的問題我這邊有幾個問題想要就教第一個是我們台灣其實經常會出現農產品產銷失衡的原因那很多時候就是比方說價格暴漲很可能是因為天災那價格暴跌可能就是因為搶種那我這邊舉個例子比方高麗菜我看前幾天高麗菜的那個批發價的
transcript.whisperx[93].start 3384.107
transcript.whisperx[93].end 3404.888
transcript.whisperx[93].text 每公斤價格低到1公斤5.9元相較於今年年中的時候颱風那時候來的時候最終的一個消費者的價格的時候1公斤因為那時候1斤大概到了大概80塊平均起來1公斤等於是130幾塊就是價差大概是一個是就是批發價
transcript.whisperx[94].start 3406.243
transcript.whisperx[94].end 3426.583
transcript.whisperx[94].text 低的一個批發價跟一個最終的消費價大概差距到20幾倍那我覺得我今天要講的其實倒不是這個差距的問題我在想說我們要怎麼解決這樣子的一個產銷容易失衡的問題那我想請教一下部長因為農糧署在2010年的時候有開始一個計畫叫做大宗蔬菜播種量及
transcript.whisperx[95].start 3427.745
transcript.whisperx[95].end 3442.666
transcript.whisperx[95].text 公苗預警資訊這樣子的一個機制那我想說因為已經15年了那我想說有這樣子的預警的一個制度那為什麼我們產銷的一個狀態還是沒有辦法有一個比較好的一個平衡 可不可以請部長做個簡單的回應
transcript.whisperx[96].start 3443.868
transcript.whisperx[96].end 3456.343
transcript.whisperx[96].text 我想跟委員報告就是有關於產銷的一個預警的制度那相對的我們特別在針對高麗菜的部分我們從種苗跟它的種植面積我們都有提出紅黃燈的一個預警那現在問題就是
transcript.whisperx[97].start 3460.489
transcript.whisperx[97].end 3486.846
transcript.whisperx[97].text 因為高麗菜是一個比較容易取巧的一個蔬菜因為它單位面積產量多然後價格如果說遇到一次颱風它價格可以拉了數十倍可以承擔這個部長我簡單問一下因為基本上目前就是我們有參與到這個農產品實際種植登記率大概有多高這個數字大概有多高
transcript.whisperx[98].start 3488.188
transcript.whisperx[98].end 3510.2
transcript.whisperx[98].text 我們現在目前就是我們會根據種苗的數量跟我們用航拍圖看的這個面積去推估它什麼時候會收成並沒有讓農民來做登記這是一件事情但是我要跟委員報告在今年度農業部的重要的政策之一可能在下個月我們就會正式對外公布
transcript.whisperx[99].start 3510.94
transcript.whisperx[99].end 3536.314
transcript.whisperx[99].text 所以現在沒有要求農民來做這個種植登記沒有做種植登記他是直接用航拍的方式去做估計那我想說因為我知道說事實上在高麗菜的部分其實我知道農業部大概會提早一兩個月會有一個預警我知道這個狀態那我想說既然有預警的狀態的時候因為高麗菜這邊它有很多比方說加工的部分可以去處理或者是出口的部分我知道去年也出口到不少到日本去
transcript.whisperx[100].start 3537.014
transcript.whisperx[100].end 3550.842
transcript.whisperx[100].text 那我希望說既然有兩個月的一個時間可以去做這樣的一個緩衝的時候我希望我們農業部這邊能夠有更高的一個績效來做這樣子一個預警的一個相對應的一個處理基本上我要講的是這個問題
transcript.whisperx[101].start 3551.923
transcript.whisperx[101].end 3578.004
transcript.whisperx[101].text 好 謝謝委員的一個建議我想後續我們會針對因為我們大概今年大概下個月我會公布我們針對大部分的州會採用種植的一個登記的制度然後透過種植登記的部分我們會協助當你的量太多的話我們會提前的去協助做這些外銷的訂單所以種植登記是接下來要推的部分對不對會比較容易去處理那種植登記的時候到時候會不會有如果沒有登記會不會有獎懲的問題
transcript.whisperx[102].start 3578.865
transcript.whisperx[102].end 3599.405
transcript.whisperx[102].text 没有 这个就是我们要重新设计的过去我们曾经要推种植登记但是都没有推成功就是我们的政策的诱因奖励的诱因是脱钩的那现在因为农业部有非常多的对农民的一些奖励的作为那补助的作为如果说有配合种植登记的话所以这就是本席特别要讲的一个部分
transcript.whisperx[103].start 3599.945
transcript.whisperx[103].end 3617.054
transcript.whisperx[103].text 就針對這部分的時候我們希望能夠真正去落實然後預警的制度能夠真正的有效我想這對農民來講是一個很重要的一個保障那我接下來想再請教一個問題就是獸醫的部分因為很多市主在反映一件事情那因為比方說我們目前就是
transcript.whisperx[104].start 3618.075
transcript.whisperx[104].end 3638.561
transcript.whisperx[104].text 我看到農業部有個新聞稿提到說我們獸醫師法這邊是準備針對那個獸醫師用藥的這個部分是不是比照人醫的部分有一些不同的看法我知道獸醫師跟事主有不同的角度那農業部這邊特別提到說打算要部分採納研議修法
transcript.whisperx[105].start 3639.69
transcript.whisperx[105].end 3649.562
transcript.whisperx[105].text 我想要知道的狀態是我們農業部這邊準備要部分採納的是哪些部分要修法的部分大概是在哪些部分因為事主的部分非常的關心
transcript.whisperx[106].start 3651.936
transcript.whisperx[106].end 3673.273
transcript.whisperx[106].text 我跟委員報告基本上我們現在在處理的獸醫師這個部分就是在動物醫院的一個診療的費用的收費的一個標準我們現在正在跟公會談那這個如果跟公會如果說有一個比較好的共識的時候那在不同的醫院它的那個獸醫院的那個診察費就會有一個標準
transcript.whisperx[107].start 3673.533
transcript.whisperx[107].end 3699.526
transcript.whisperx[107].text OK 這個部分這個部分也就是我現在要問的一個問題因為我們目前看了就是按照一個就是寵物相關網站他去整合各個地方的公會呈現出來的狀態我們的診療費用掛號費跟診療費差距非常的大我想請教一下這個各地方獸醫師公會提出來的建議的數字是一個天花板價還是一個地板價我想他們在考慮的就是
transcript.whisperx[108].start 3700.546
transcript.whisperx[108].end 3720.786
transcript.whisperx[108].text 它本身是一個天花板的上限的部分是天花板價對不對天花板不能比這個高這樣子我們看到其實差很多比方說以台南來講的時候它的價格可能是新北跟高雄的五倍以上那這為什麼會有這麼高的一個價差我覺得農業部當我們社會的主管單位我希望說能夠去做一個更好的一個
transcript.whisperx[109].start 3722.347
transcript.whisperx[109].end 3743.541
transcript.whisperx[109].text 就是溝通讓整個市主能夠覺得比較平衡然後也覺得依法有據如果發生增值的時候跟說假設有增值的時候我們有沒有調解的機制我們基本上這個跟地方政府是可以有申請調解的部分但是剛才委員講的一個非常重要的就是我們一定要讓
transcript.whisperx[110].start 3746.083
transcript.whisperx[110].end 3764.19
transcript.whisperx[110].text 這個寵物的飼養者去受到獸醫的時候不會被認為是敲竹槓是所以這個部分我們會跟獸醫師公會在談就是不同的限制當然可以有不同的標準但是這個標準的範圍不能拉得太高理解所以我們看到這個部分我們還不含比方說有部分的
transcript.whisperx[111].start 3764.89
transcript.whisperx[111].end 3789.81
transcript.whisperx[111].text 比方說治療啦 手術費用光是掛號費跟診療費其實就差距五六倍所以我覺得這部分應該要農業部這邊應該要介入做一個比較好的溝通對 我們現在已經在溝通OK 好那後續有任何的成果再隨時跟本辦或是做一個報告那我接下來最後一個問題我要問一個狀態就是生鮮草莓跟草莓即食品的問題我想請教一下部長生鮮草莓是誰在管
transcript.whisperx[112].start 3791.045
transcript.whisperx[112].end 3807.41
transcript.whisperx[112].text 農業部管嘛對不對基本上我們是在上市前是由農業部管上市後是由衛福部來負責所以說如果是草莓及食品就已經做成了草莓蛋糕草莓大福就是衛福部在管對不對是那我們看到了一個狀態就是
transcript.whisperx[113].start 3809.091
transcript.whisperx[113].end 3825.42
transcript.whisperx[113].text 之前就是消基會做了一個調查他檢查了17項草莓即食品裡面有16項草莓不合規然後這邊都出現了一個狀態因為草莓如果變成即食品變成蛋糕了 大福了其實
transcript.whisperx[114].start 3828.494
transcript.whisperx[114].end 3842.008
transcript.whisperx[114].text 衛福部這邊說他們也沒辦法檢查所以監察院針對這個問題他提出來的狀態是說針對草莓及食品這樣的一個狀態應該要從原料去做源頭的一個管理請問部長你認不認同
transcript.whisperx[115].start 3843.654
transcript.whisperx[115].end 3869.443
transcript.whisperx[115].text 我覺得基本上針對這個農產品本身的這些農藥的殘留要分兩個部分源頭管理是非常重要的但是後市場的這些檢查也可以能夠追溯到源頭然後去做源頭的加強管理這是現在的一個機制是 現在的狀態就是因為它變成了即食品之後的時候沒有辦法去溯源追蹤所以說我覺得這邊都出現了一個狀態就是
transcript.whisperx[116].start 3872.458
transcript.whisperx[116].end 3882.921
transcript.whisperx[116].text 生鮮的草莓的時候它變成了即食品的時候那衛福部這邊覺得他們管不了那監察院這邊覺得說農業部這邊跟衛福部這邊應該要做比較好的跨部會的溝通那我在這邊可不可以請部長這邊主動積極跟衛福部這邊做一個協調我們要怎麼樣子來做相關的一個
transcript.whisperx[117].start 3895.265
transcript.whisperx[117].end 3919.915
transcript.whisperx[117].text 就是即食品原料的一個源頭管理還有一個溯源的一個部分不要變成說你變成了一個草莓蛋糕之後你即使草莓蛋糕裡面檢查出來有很多農藥的殘留我們都沒有辦法去做一個要求去做一個檢查那最後一個部分就是針對我們有一個農業部這邊我們允許的一個草莓依草莓為例的時候有119項可是在整個
transcript.whisperx[118].start 3924.617
transcript.whisperx[118].end 3938.162
transcript.whisperx[118].text 農藥殘留容許量標準裡面的時候有五項去並沒有規範在裡頭按照衛福部的標準這五項正常是應該都不能夠查出來的那我們針對這部分我們要怎麼去做處理可不可以請部長做個簡單的回應
transcript.whisperx[119].start 3940.954
transcript.whisperx[119].end 3953.079
transcript.whisperx[119].text 我跟委員報告因為基本上我們在做農藥的設定的時候是針對病重癌的防治然後這些農藥的高標準是符合人體安全可以吃的
transcript.whisperx[120].start 3957.898
transcript.whisperx[120].end 3981.393
transcript.whisperx[120].text 那衛務部本身他在食品端的時候他有另外一個標準那後續我想我會跟委員建議所說的我們現在在跟衛務部已經有雙次長會議那雙次長會議在這個包括您現在講的這個議題那我們怎麼樣去做一些本來有列但是沒有列在標準之內的怎麼樣去做一個調和這個部分我想後續我們會來處理
transcript.whisperx[121].start 3982.313
transcript.whisperx[121].end 4004.543
transcript.whisperx[121].text 好部長因為草莓真的大部分的國人都愛吃啦那生鮮草莓跟草莓的一個即食品這樣的一個狀態的時候我決定要把它做好的一個好好的一個保障不要到時候比方說草莓做成蛋糕做成大福之後的時候都很多的農藥在裡頭那這一定是我們所不樂見的好不好了解好謝謝謝謝謝謝鄭振琴委員的諮詢謝謝謝謝部長我們現在請賴瑞榮委員諮詢
transcript.whisperx[122].start 4016.089
transcript.whisperx[122].end 4019.27
transcript.whisperx[122].text 好 謝謝召委 請陳部長請陳部長部長 今天是1月7號嘛對 那總預算沒有審也沒有通過那對農業部有沒有產生什麼樣的影響我想總預算沒審的部分大概影響成分為兩個部分一個部分是新增的計畫是完全不能動的
transcript.whisperx[123].start 4043.695
transcript.whisperx[123].end 4064.044
transcript.whisperx[123].text 那新任的計畫在農業部這邊我們統計大概有16億多16.7億對16億多那另外一個部分是延續性計畫但是因為我們增加了很多工作項目所增加的這個預算那這個預算也是不能動用這個大概有74億左右對所以加起來將近有90億90億
transcript.whisperx[124].start 4066.045
transcript.whisperx[124].end 4085.627
transcript.whisperx[124].text 所以這個部分都是受到了總預算不審查那我再更細的問16.7億新興的預算裡面有涉及到氣候變遷包括河川包括排水的一些改善的包括無人載具的包括甚至於農民的水利工程甚至於治山防災的這個部分那這個部分怎麼來處理
transcript.whisperx[125].start 4086.397
transcript.whisperx[125].end 4107.661
transcript.whisperx[125].text 我想非常重要的一個影響就是水利的一個建設因為特別是在今年看起來很多颱風特別是在中南部的部分有很多地方在山坡地的儲食流的預警監測一直到農田的水利灌溉的建設還有坡地的防災的部分那這個部分都在我們的新興計畫裡面必須要去做的
transcript.whisperx[126].start 4108.041
transcript.whisperx[126].end 4124.411
transcript.whisperx[126].text 那更重要的是在這裡面還有一些是要透過地方政府一起合作的部分那如果說這個經費如果沒辦法順利通過的時候那相對的對於我們後續在訊息一開始的時候的防範會產生更多的一個可能的一個風險
transcript.whisperx[127].start 4125.271
transcript.whisperx[127].end 4152.709
transcript.whisperx[127].text 所以這些經費如果總預算遲遲不審不通過的話這些新一新的計畫完全不能用對 是不能用因為去年幾個颱風幾乎是對中南部產生重大的影響北部感受不深但是中南部特別很多都涉及到治山防洪的甚至很多一些排水的甚至很多農業的一些經費我們要趁這一次的機會趕快來做趕快來做的話有機會趕在訊息之前的時候能夠萬一颱風又來了或者豪雨又來的時候減輕整個災情
transcript.whisperx[128].start 4154.15
transcript.whisperx[128].end 4157.64
transcript.whisperx[128].text 那如果現在此時不通過的話對中南部的影響是相當大的
transcript.whisperx[129].start 4158.163
transcript.whisperx[129].end 4180.174
transcript.whisperx[129].text 是 特別在對農業那我這邊也期待就是610委員能夠盡快的能夠將我們的總預算就是付為審查那如果需要一些說明的我們很願意在委員會這邊來做一個說明跟委員做溝通但是不能說都不進到委員會審查讓我們沒有溝通的一個機會現在連讓進到委員會都不進來連讓一堵連進到委員會討論都不討論如果進來了以後
transcript.whisperx[130].start 4185.357
transcript.whisperx[130].end 4200.822
transcript.whisperx[130].text 藍白是多數嘛 如果認為講的 農業部講的沒有道理不該給的錢 那你刪掉大家也沒什麼好說的你多數你也可以刪嘛 你有能力刪嘛但是連討論都不討論 連審都不審這個完全無法對國人交代是這怕什麼 我說藍白在怕什麼難道你是怕
transcript.whisperx[131].start 4201.522
transcript.whisperx[131].end 4213.936
transcript.whisperx[131].text 你的這個總預算被大家看到了政府要做什麼事情嗎就是我覺得毫無道理毫無道理可言進來如果農業部編的經費不合理那你要 你要刪你要動我們可以來討論但是你連進來討論都不討論這個人民無法接受
transcript.whisperx[132].start 4216.679
transcript.whisperx[132].end 4246.099
transcript.whisperx[132].text 對 這個也是我們一直覺得很奇怪的地方所以我們也一直呼籲就是立法院能夠盡快的審總預算因為它牽扯到對人民甚至對農民很多的權益事項我們真的再次呼籲藍白要以人民為念 以農民為念然後不要刻意去杯葛你連進來討論都不敢給討論的話這完全毫無道理完全站不住腳 完全沒辦法接受的也從來沒有總預算到了這個年度開始了連進來都沒有進來過這也是完全沒有發生過的事情我認為這個是完全無法接受的
transcript.whisperx[133].start 4246.859
transcript.whisperx[133].end 4275.025
transcript.whisperx[133].text 那既有的預算他有些新增了74.2億這個影響也很大裡面也有很多牽涉到各個項目的部分部長好不好再談一下對這個部分我相信我們所有的三級單位所談的除了新興計畫以後我舉個例子包括冷鏈的部分我們常需要的冷鏈的部分然後相關的這些一些業務的執行的部分那這個部分都是在新興裡面我們增加的部分
transcript.whisperx[134].start 4275.325
transcript.whisperx[134].end 4290.375
transcript.whisperx[134].text 我看到裡面有水利工程的水利工程也有對因為他因應了去年的狀況之後有在做一些新增但是這個水利工程有影響到這個包括水路保持的部分置山防洪的這部分包括大大崩這個大範圍的一個崩塌的
transcript.whisperx[135].start 4290.595
transcript.whisperx[135].end 4306.892
transcript.whisperx[135].text 大規模崩塌還有土石流大規模崩塌這個都是因應到去年的狀況有再做一些調整但是我們因為像高雄這邊有非常多的因為這次颱風增加的部分去年幾個颱風造成很大的一個然後所以我們在原系性的計畫有新增的這些經費那這些經費也不能
transcript.whisperx[136].start 4307.666
transcript.whisperx[136].end 4331.515
transcript.whisperx[136].text 我去年在上那個山上的時候像六龜或什麼的地方那個幾乎是全面整個崩塌下來整個水道幾乎完全水路完全是被土石所崩塌的影響這個要盡快來做你不做的話那整個莊頭幾乎整個受到很大的影響好不好這個我們希望要一方面持續跟藍白國會溝通一方面也持續跟社會溝通讓社會知道這個經費是非常的重要的
transcript.whisperx[137].start 4332.317
transcript.whisperx[137].end 4339.386
transcript.whisperx[137].text 會 我想我們會盡量的去做這些說明還有裡面有很多包括穩定材料 資材 甚至於整個
transcript.whisperx[138].start 4340.663
transcript.whisperx[138].end 4360.855
transcript.whisperx[138].text 阿里山軸線的一些躍升甚至於安全檢驗甚至於動物的一些檢驗這個都很重要我認為這很重要還有我覺得講更對農民更有影響的我們的很多肥料的補助的部分那因為我們在設計上面今年度有明年度今年度有一些新的經費那這個部分我想也因為總預算的關係沒有辦法去增加
transcript.whisperx[139].start 4363.116
transcript.whisperx[139].end 4392.085
transcript.whisperx[139].text 藍白國會說明以外也要持續的對社會做說明好不好社會更支持的話預算才有可能省的好不好另外我覺得農業部有提了一個這個東西其實我覺得這個很好啦現在大家都幾乎到手機的時代了連老人家連老農都不管老農親農大家都要用手機了那你如果把你的服務整合到手機裡面的話其實會更便利不管是查詢退休金還是子女的獎學金或者是農業的天然災害的補助啊或者是一些相關的事項都可以甚至申請我認為這個很好
transcript.whisperx[140].start 4392.985
transcript.whisperx[140].end 4414.538
transcript.whisperx[140].text 這個部分本來預定在去年年底就要開始來推動現在推動了沒我們預計在今年度我們現在已經在1月2號開始已經有兩個地點我們要先做示範一個在桃園一個在嘉義那我們做示範完了以後大概上個月如果說大家很順利的話我看到你們是預計在114年12月中旬要開始來提供
transcript.whisperx[141].start 4414.878
transcript.whisperx[141].end 4436.067
transcript.whisperx[141].text 我們正式是在今年的1月2號我們就在兩個縣市這邊先做試辦然後三個月之內如果大家沒問題的話我們會全這個要用到今年的經費嗎這個也要用到今年的經費啊新增經費嗎這個算是延續計畫裡面如果總預算沒有審查通過的話這個可以做嗎也沒辦法去總預算沒有過這也沒辦法做
transcript.whisperx[142].start 4436.653
transcript.whisperx[142].end 4463.632
transcript.whisperx[142].text 沒有辦法這個我也希望盡快來推動好不好那也希望持續的對社會各界說明好不好因為這件事情我認為對老農對青農都很重要現在大家幾乎都用手機可以得到很多資訊如果透過APP其實經費並不多1272萬如果能夠做這件事情的話其實對我們很多的資訊都會有很大的幫助我們有17項的這些對農民的服務都放在這裡面去做整合性的協助再要請教一下這一次的共軍的演習的部分對我們的漁民也造成很大的影響這個部分
transcript.whisperx[143].start 4465.473
transcript.whisperx[143].end 4483.17
transcript.whisperx[143].text 造成多少損失我想這個損失現在目前是沒有辦法去估算的因為它演習的時候讓我們的漁民是沒辦法出海的部分我看澎湖 永安很多地方的漁民都沒辦法出海對 沒辦法出海 是然後這種演習的部分會造成
transcript.whisperx[144].start 4484.361
transcript.whisperx[144].end 4509.542
transcript.whisperx[144].text 漁民的一些恐慌這是最重要的就是說他們蠻擔心這樣子所以我個人覺得說用這樣子一個圍島式的這種軍演是沒有道理的我就站在農業部長站在漁業署長角度要強力的譴責啦要幫漁民發聲要勇於去發聲好不好這件事情也要讓大家知道這種惡劣的行為環島的軍演造成我們漁民的一些損害讓沿境海漁民沒出海就沒錢賺了
transcript.whisperx[145].start 4510.823
transcript.whisperx[145].end 4534.691
transcript.whisperx[145].text 你少一天就少一天 少兩天就少兩天所以這件事情要不斷的對社會各界做說明我覺得第一時間都要不斷的揭露各項資訊然後同時間去譴責站在農民 漁民的角度 站在農業部的角度要做強烈的譴責最後再請教一下我們的猴群到了市區不管是在山區或原鄉都有很大的一些影響我們上次有提過電維網的部分這個能不能加速來推動
transcript.whisperx[146].start 4535.533
transcript.whisperx[146].end 4559.184
transcript.whisperx[146].text 我想這個部分我們也會去加速推動然後事實上我們林保署現在開始也在跟一些地區做一些示範性的去做這邊移除啦因為猴的密度是越來越高你如果沒有適當的 不想高雄的猴子是在市區都會跑到了來騷擾到了一般的人民然後在山區裡面都會去偷採水果也造成農民很大的困擾
transcript.whisperx[147].start 4559.924
transcript.whisperx[147].end 4581.112
transcript.whisperx[147].text 所以我覺得這些要你要好的方法就是用電維網讓他不要去影響到這個我們會加速的去推動這要加速補助加速協助農民來推動才不會造成人跟猴之間的一些衝突了解好不好這個請農業部部長這給我一個月給我一份你們的評估報告好不好就怎麼樣來加速推動電維網的一個制度好不好好謝謝謝謝賴銳榮委員的諮詢謝謝部長我們現在請張祺凱委員諮詢
transcript.whisperx[148].start 4602.312
transcript.whisperx[148].end 4628.158
transcript.whisperx[148].text 謝謝主席 請問陳部長我們請陳部長這也是你的啦 瑞郎委員好我聽 剛才民進黨的地位啊 說總預算被卡住了卡住總預算的不就是賴清德總統跟卓鴻泰行政院長嗎從國際上來看全世界的民主國家
transcript.whisperx[149].start 4629.068
transcript.whisperx[149].end 4655.712
transcript.whisperx[149].text 哪有一個立法院三讀通過的法定預算不編的從中華民國的歷史來看包括以前民進黨執政的陳水扁時代蔡英文時代那種立法院通過的三讀預算不編的呢卡關準預算我也跟委員報告也沒有一個立法院沒有立法院在年度的時候都還沒有審去今年度的預算從來沒有過就是因為賴清德跟總統太卡關嘛
transcript.whisperx[150].start 4657.148
transcript.whisperx[150].end 4677.469
transcript.whisperx[150].text 這全世界的笑話存在賴清德一念之間他想通了總預算馬上就審 馬上沒有卡關的問題總預算卡關去年也卡住啊 保定你應該很清楚啊 去年為什麼卡住農業部立法院通過了公糧收購要調高
transcript.whisperx[151].start 4679.29
transcript.whisperx[151].end 4690.245
transcript.whisperx[151].text 你一直卡還有原住民的進法補償行政院 醫療長都不偏我們非常尊重委員的我現在非常尊重委員我也很尊重你所以相對的我們預算盡快的來審保定
transcript.whisperx[152].start 4694.49
transcript.whisperx[152].end 4709.835
transcript.whisperx[152].text 就是因為總統跟行政院把他卡住你趕快編法定預算進來我們可以把總預算進到委員會審查的說委員有任何意見那還可以再做後續的不管是追加或其他的方式來處理去年不就是卡關以後有成功解決的成功個案嗎
transcript.whisperx[153].start 4711.01
transcript.whisperx[153].end 4738.871
transcript.whisperx[153].text 去年 你的公糧收購你沒有編後來不是我代表黨團我們到行政院去草野協商嗎你也在場啊後來你們引落了把原住民的進法補償條例調高把公糧收購調高一算不就省了嗎你們先自殺問題你們不解決問題我們跟你草野協商我現在也跟你講了我跟委員報告喔如果委員任何的一個條案說今天要調高 把新人的條金欸 姑娘有先說對不對我聽
transcript.whisperx[154].start 4741.195
transcript.whisperx[154].end 4767.697
transcript.whisperx[154].text 去年公糧收購解決啦公糧收購的不是你的貢獻絕對不是你的貢獻你是說調高五塊錢五塊錢的話今天水稻就倒掉了我們是透過整個的不是好好的嗎我告訴你我們的設計完全跟你的不一樣我們的設計完全跟你不一樣今年的糧價非常好絕對不是你的貢獻是我們農業部針對糧食產業升級多方面的一些去支持才有的
transcript.whisperx[155].start 4768.457
transcript.whisperx[155].end 4795.188
transcript.whisperx[155].text 有嘛對不對你都沒有調你那個整個施政都是假的啦最核心的農民講得清清楚楚嘛你該調高我公糧收購的價格你也調那麼我現在這個問題講你去年卡關就是賴清德只要想通一念之間公糧收購問題解決原住民問題解決嘛公糧收購的是農業部單獨的問題今年卡住了今年卡住了金人家新昨天晚上還發生了不幸事情我們F16V的這個揮官
transcript.whisperx[156].start 4797.268
transcript.whisperx[156].end 4805.667
transcript.whisperx[156].text 發生事故跳傘到現在人都還沒有找到我們在野黨包括民眾黨要求提案軍人每個月加薪三萬塊都通過啦
transcript.whisperx[157].start 4807.352
transcript.whisperx[157].end 4834.551
transcript.whisperx[157].text 你現在趕快加薪這個問題不就解決哪有考官這個問題所以我現在提醒一下全世界民主國家都是這樣解決問題的中華民國也是這樣解決問題去年更有成功的只要把金人的問題解決把警消人員所得貼的問題解決跟去年一樣沒有考官問題馬上審議算所以現在考官的是總統跟行政院長好接下來我要跟你談老農的經濟安全的問題就是退休除金等一下我們要進行討論嘛
transcript.whisperx[158].start 4835.988
transcript.whisperx[158].end 4864.15
transcript.whisperx[158].text 還有老農津貼的這個問題那現在變成當地咖啦老農的這個晚年經濟的這個安全網啊變當地咖第一個我們退休儲金漲不大第二個老農津貼啊一直在限制當中我先給大家看一下農業部說啊要照顧我們的老農要做兩件事情就是退休制度由老農津貼跟農民的退休儲金共同的過程然後我給大家看一下這個
transcript.whisperx[159].start 4866.124
transcript.whisperx[159].end 4885.163
transcript.whisperx[159].text 老榮今天從民國84年的6月份開始開辦那時候一個月3000塊錢 到現在調高到最新的是8100塊錢他很多時候是依照物價指數GPI來調整的調了多少 38.57可是部長我可以看一個更嚴重的事情
transcript.whisperx[160].start 4887.366
transcript.whisperx[160].end 4916.594
transcript.whisperx[160].text 右邊這個這是台灣民眾每個月消費的支出在民國84年12501塊錢到了今年 到了113年變多少2600多欸所以就遠遠追不到嘛 追不上去嘛 對不對所以在上個月24號我們在未還跟經濟的聯席會上很多議委 包括民眾黨都有提說要把這個老農津貼的幅度要適度的提高你說送到行政院 那現在已經定案了嗎 要提高多少
transcript.whisperx[161].start 4918.72
transcript.whisperx[161].end 4935.758
transcript.whisperx[161].text 我跟委員報告 今天是在審我們相關的這些農業 科技 研究 植物 品種學那相關的這些農民退休的一個制度我們上次在委員會已經報告過了那現在您這邊所提到的我今天就是要追蹤說你到底定你不是說送到行政院兩個禮拜定了沒有
transcript.whisperx[162].start 4936.448
transcript.whisperx[162].end 4958.129
transcript.whisperx[162].text 我們當然訂了我們只是在等適當的時間送到院會裡面會送到立法院來我跟你委員報告您在這邊提的這些經費這些經費如果大家討論有共識那大家OK行政部門跟立法部門如果有共識那退就非常順那同樣的如果總預算
transcript.whisperx[163].start 4959.226
transcript.whisperx[163].end 4987.866
transcript.whisperx[163].text 不去處理再多的法案增加農民福利的東西也沒辦法做啦所以回歸段還是要在總預算要盡快的去實行全國民眾都知道嘛趕快把金人加薪景蕭的手的替代那個解決啦總預算就省啊就農業部的預算來講我們哪一個部分如果在委員會大家可以有問題我們可以處理這次你有解決了這次用同樣方法趕快啊就沒有卡關問題啊你現在在講我現在問你老人津貼後來訂了嗎
transcript.whisperx[164].start 4989.505
transcript.whisperx[164].end 5013.272
transcript.whisperx[164].text 你覺得今天還不適合講就對了我們內部當然訂了啊訂了是不是今天還不適合講就對了啦是不是我們送到立法院立法委員就知道啦你以前的質詢答詢不是這樣子啦對不對因為我覺得你非常不合理啊你真的非常不合理啊為什麼不合理我覺得我們的所有的總預算應該該進到委員會就進到委員會如果委員會有任何的問題不管在哪個部會有問題的都可以在那個部會去提嘛
transcript.whisperx[165].start 5013.852
transcript.whisperx[165].end 5018.175
transcript.whisperx[165].text 那舊農業部來講沒有 舊農業部來講農業部的預算已經沒有了他進到經濟委員會好了啊你們在行政你們為什麼不在經濟委員會去來執行農業部的預算那不就是一個解決問題的方法嗎你去年為什麼要去
transcript.whisperx[166].start 5037.625
transcript.whisperx[166].end 5052.71
transcript.whisperx[166].text 我不是因為你去的對啊我不是因為你去的那是為國家大政嘛那是一個正常的國家正常的體制正常的方法嘛任何的立法院的增加的預算立法院增加的預算我們三長民眾黨團的三長國民黨的三長民進黨的三長一起去把問題解決了嘛
transcript.whisperx[167].start 5054.19
transcript.whisperx[167].end 5076.025
transcript.whisperx[167].text 我今天是在提供的 不要吵架我們現在共同要解決問題好不好 時間到了去年既然可以成功 當然今天你是在威脅我覺得你是用這種東西去威脅我們的預算預算一定要進到審查你這樣講不就是威脅別人嗎最重要是用法治面來解決問題全世界的民主國家都這樣解決以前的民進黨政府連陳水扁 連蔡英文都這樣解決我們農業部的預算絕對經得起考驗只要進到委員會 我們就來溝通嘛
transcript.whisperx[168].start 5081.929
transcript.whisperx[168].end 5085.672
transcript.whisperx[168].text 趕快跟總統跟院長講啊趕快解決法定預算的問題我們時間到了 謝謝謝謝 我們請楊瓊英委員質詢謝謝主席 楊瓊英發言 邀請部長我們請部長
transcript.whisperx[169].start 5114.132
transcript.whisperx[169].end 5134.604
transcript.whisperx[169].text 副長好副長我們來討論1月2號報導農業部我們農糧署有說為了要提升蔬果農藥安全管理所以你今年運用了我們的農業藥物試驗所研發的植捕儀快速篩檢的技術在各地來輔導
transcript.whisperx[170].start 5135.925
transcript.whisperx[170].end 5152.078
transcript.whisperx[170].text 然後由他們來自主檢驗那來落實檢驗合格再上市因為現在的民眾對於這個安全度 食安大家是非常重視那所以在這個看到統計是112年到114年你已經完成了81490件那你也輔導了7062件那延後來採收 換句話說
transcript.whisperx[171].start 5163.727
transcript.whisperx[171].end 5189.645
transcript.whisperx[171].text 在你的八萬多件裡頭幾乎快要有一層是發掘是有狀態的所以有狀態你請他們延後採收這是對的因為我們一定要合格再上市這個原則那同時你也建構了五台五台的這個質樸快檢行動檢驗車來提供各產地來做服務那所以你也表示了
transcript.whisperx[172].start 5191.306
transcript.whisperx[172].end 5206.372
transcript.whisperx[172].text 112年到114年 3年 你們的成果是如此所以必須還要再繼續加強115年度裡頭 你們希望能夠將這個提高檢驗量能到5萬件 是不是如此
transcript.whisperx[173].start 5207.785
transcript.whisperx[173].end 5232.379
transcript.whisperx[173].text 是不是如此 是不是增加到5萬件今年度對 就115年度對 希望要有5萬件那所以本期要請教那你要具體怎麼分配因為你說5台嘛那你怎麼分配到各地的產區來確保不同地區這個農民他能夠實際上取得檢驗的這個資源你要怎麼做分配呢
transcript.whisperx[174].start 5232.898
transcript.whisperx[174].end 5257.271
transcript.whisperx[174].text 我跟委員報告在這個產地源頭協助農民檢測大概分為幾個面向第一個面向就是在產地端那現有的因為我們有22縣市嘛那你只有5台車啊不是但是5台車是行動的我先講一下最基礎的限地的檢疫就是已經在地方像合作社廠我們現在大家都在做嘛然後有一些區檢中心也在做
transcript.whisperx[175].start 5258.011
transcript.whisperx[175].end 5277.999
transcript.whisperx[175].text 對 然後透過這個行動的止捕儀的快篩車去做串接然後後端是在批發市場所以我們會建構一個所謂的所謂的這個農藥殘留的一個檢錯網絡那行動您所重視的這個行動止捕儀的這個車子就是去做一些鏈接啦那現在有五件
transcript.whisperx[176].start 5278.519
transcript.whisperx[176].end 5306.88
transcript.whisperx[176].text 你現在回答到這裡就一個重點鏈結很重要因為我們看到你從112年到114年你是8萬件那你115年要5萬件等於你要兩倍半的量人所以本席才會提出你的行動車也沒有增加但是你這個網絡鏈結要怎麼去鏈怎麼可以去結盟起來你的整個的流程要怎麼去做本席認為有精進的空間
transcript.whisperx[177].start 5307.881
transcript.whisperx[177].end 5312.125
transcript.whisperx[177].text 才能 絕對有齁所以你把進進的這個方案你們把它檢討好也給本席因為你關關一年要能夠兩倍半的量人本席希望他不是只有口號而是真正能夠落實而是能夠照顧到所有的食安安全讓賣的人也安心讓買的人也安心讓我們農民有榮耀這才是我們要的 對不對
transcript.whisperx[178].start 5332.505
transcript.whisperx[178].end 5351.51
transcript.whisperx[178].text 所以你認為有精進的空間大概是一縣市至少要一台直輔儀的快車一縣市我們有22縣市所以我們現在準備在提我們的中長城公共建設裡面去做這樣的設施你把你的方案希望一縣市一台把這個方案以及要怎麼樣精進的管道
transcript.whisperx[179].start 5352.51
transcript.whisperx[179].end 5367.82
transcript.whisperx[179].text 經濟的這個方式提交給本席我們希望政策出來就是要落實接下來本席要跟你討論農運民在年前的時候過年他都需要有現金小額錢所以你們在114年你首度的來舉辦農民紓困貸款那你也要在今年度當然一定要續辦一定要續辦你的總額是5億每一個人最高10萬元利率
transcript.whisperx[180].start 5381.209
transcript.whisperx[180].end 5395.55
transcript.whisperx[180].text 是1.915%由原先你114年 一年內要完成要還款 但是還不了所以你現在從善如流這也是本席所說的我們務必一定要再基層
transcript.whisperx[181].start 5396.891
transcript.whisperx[181].end 5419.479
transcript.whisperx[181].text 傾聽民意你一年要叫他還 他還不了所以你有傾聽民意這本許給你暫許那你的方式是延長為兩年來還這個錢這個是農漁民非常迫切需要的貴你啊 一定要這麼做所以同時你也透過農業的這個信保基金你說最高可以九成的信用保證來減半
transcript.whisperx[182].start 5421.44
transcript.whisperx[182].end 5441.646
transcript.whisperx[182].text 寄收的保證手續費那降低申請 申貸的這個門檻但是我們也看到最近地球暖化的這個問題天災地變一大堆我們的農民真的不可確定性太強了在這樣的一個情況之下他很多的貸款他根本還沒有辦法
transcript.whisperx[183].start 5442.466
transcript.whisperx[183].end 5459.183
transcript.whisperx[183].text 去清場所以本校請問也就是他們面對的這些資金的壓力小額資金但是在農民來看它是非常重要的一個資金要過年過不了年所以我們要怎麼樣協助他我們今年天災頻繁尤其農業的收入也是波動非常的大
transcript.whisperx[184].start 5465.169
transcript.whisperx[184].end 5477.638
transcript.whisperx[184].text 不是我們的暗算的很多等到要收成像我們上一次的玉米明天要收成今天全部沒有了這個都是不可控的因素太多了所以你要怎麼樣將農民紓困貸款來制度化常態化而且你必須要滾動式檢討通本那麼多你一直只有10萬他怎麼過年請教部長
transcript.whisperx[185].start 5490.305
transcript.whisperx[185].end 5514.654
transcript.whisperx[185].text 一個部分像委員這邊簡報所列的我們從去年開始就做我覺得獲得農民的好評那有一個重點您剛才說的就是要做滾動檢討的部分那我們今年在10月份其實在去年的10月份做了一些檢討所以我們現在的額度是10萬塊錢那後續如果需要的話我們還可以再做適度的提高那同樣的這一句話就對了部長因為現在通盤很嚴肅
transcript.whisperx[186].start 5519.356
transcript.whisperx[186].end 5541.136
transcript.whisperx[186].text 所以包括我們的老農今天大家不分藍綠白一定要好好的讓我們的農民可以過活這是我們對農民的一個基本尊重所以這個滾動式檢討務必你每一年要去看每一年滾動式檢討我要謝謝你一定要每一年滾動式檢討這個金額而且每一年續辦是不是可以達得到
transcript.whisperx[187].start 5542.116
transcript.whisperx[187].end 5564.703
transcript.whisperx[187].text 絕對我們覺得這個因為這個受到農民的好評我們每一年都會辦這第一點第二點就是說有關於貸款規定的部分包括利率包括額度額度申請的條件這個東西我們每一年都會去檢討滾動式檢討每一年要做最後一個議題我給你12月19號我們農業部11月份你推動了動物科學應用3R也就是取代
transcript.whisperx[188].start 5565.383
transcript.whisperx[188].end 5584.893
transcript.whisperx[188].text 減量 精緻化那到目前為止10年你們是從120萬隻降到110萬那大概是9%本身認為這個數量是不美的而且是在你的政策10年如此是達不到你的3R雖然你找了一個理由說你不是用數量
transcript.whisperx[189].start 5585.974
transcript.whisperx[189].end 5604.05
transcript.whisperx[189].text 來決定你的政策目標但是至少數字可以告訴我們你們現在做到的成效到底是如何所以本期希望這個部分必須要加油我們是要實際上的落實在全國動物科學應用的機構而不是只有口頭講一講不是只有書面的資料 請教部長
transcript.whisperx[190].start 5608.907
transcript.whisperx[190].end 5624.335
transcript.whisperx[190].text 謝謝委員對這個實驗動物的一個關鍵特別是3R的部分那數字當然可以反映到某個程度的一個成果啦那這個部分從這個數據來看降幅似乎太低了啦對但是他們在前面10年才9%這10萬隻
transcript.whisperx[191].start 5626.516
transcript.whisperx[191].end 5643.624
transcript.whisperx[191].text 他們是針對精緻化的部分就是說當你動物實驗的時候對於動物的這些保護相關的這些讓它不會很驚恐對這個部分的精緻化我們有做到做得非常好但是下一個目標就是讓它用替代的因為對
transcript.whisperx[192].start 5644.804
transcript.whisperx[192].end 5666.241
transcript.whisperx[192].text 不夠啦 部長我們一個結論因為10年從120萬隻降到110萬隻你自己都認為這個酒吧是不夠的本級希望能夠真正的落實在這個機構裡頭那你們的方案要去精緻這個數量以及你們的這個落實程度3R
transcript.whisperx[193].start 5667.282
transcript.whisperx[193].end 5686.262
transcript.whisperx[193].text 取代 減量以及精緻化這必須要去做啊這是政府的政策啊而且現在大家對於我們的這個動物寶貝大家都是我們的毛小孩大家是非常非常的重要跟重視啊對不對這本來就是要以人性化的一個管理嘛對不對
transcript.whisperx[194].start 5688.715
transcript.whisperx[194].end 5697.178
transcript.whisperx[194].text 同意所以你把你的方案給本席好不好一起加油我們今天的方案謝謝楊瓊英委員質詢謝謝部長我們現在請張家俊委員質詢主席我想請部長請部長
transcript.whisperx[195].start 5717.124
transcript.whisperx[195].end 5730.674
transcript.whisperx[195].text 部長早那本席想要直接切入今天的一個主題喔就是說台電去年9月有漲電價那除了一般電費以外你知道基本電費也有調漲嗎應該是有吧有吧那基本電費調漲多少部長知道嗎
transcript.whisperx[196].start 5737.799
transcript.whisperx[196].end 5741.303
transcript.whisperx[196].text 我這個現在沒有 手邊沒有掌握這個訊息好 那沒關係本席告訴你每個月的這個抵度費喔本來是33.6元那一期呢就是大概是67.2元現在漲成每個月等於是100元
transcript.whisperx[197].start 5757.18
transcript.whisperx[197].end 5784.772
transcript.whisperx[197].text 每一度是100元然後一起是200那等於是說漲了三倍這個抵度費漲了三倍那我想部長非常清楚務農就是看天吃飯有節氣有休耕所以對農民用電來說的確是真的有可能一年有幾個月有可能有幾個月完全沒有用電這個您同意嗎我基本上同意剛才委員所說的他的最低100塊但是他可以抵電費
transcript.whisperx[198].start 5787.09
transcript.whisperx[198].end 5810.61
transcript.whisperx[198].text 抵什麼電費可扣你當月的電費啊他每戶最多的時收進了100塊但是這100塊可以抵他的電費對啊 但是他沒有用電啊所以他沒有用電他還是需要兩個月繳200元所以比過去 等於是過去的三倍那這個部分呢其實有很多農民現在在抗議
transcript.whisperx[199].start 5811.511
transcript.whisperx[199].end 5829.39
transcript.whisperx[199].text 因為他們收到電單之後才發現從每期67元變成200元是原本的三倍部長您覺得這對農民有什麼影響呢這個我了解這個會等於說你沒用電的時候你又收了等於類似基本費的概念是他的基本費整個漲了多增加了一些支出啦
transcript.whisperx[200].start 5830.291
transcript.whisperx[200].end 5857.373
transcript.whisperx[200].text 對那其實本來67塊農民都OK可是你突然變了一起要講200元這對農民是一個沉重的負擔了所以是不是可以請部長關心這件事情不過我想當然在農業的部分我們會來了解那農業的部分基本上我們的農業用電我們政府會來協助那這邊所提到的個特案的部分就是他沒用電是那沒用電在農業的部分
transcript.whisperx[201].start 5858.574
transcript.whisperx[201].end 5885.186
transcript.whisperx[201].text 幾乎比較可能發生啦等於說除非他沒跟重是 就是基本費那部長我跟你說為了要抽絲剝繭這件事情我去做了很多研究我就去研究一下說他們陳情因為不是一個農民陳情很多農民都陳情我發現這可能是農業部可以幫忙協助補救是因為當初他們申請他們都是田嘛他們會請水電行來幫忙申請電
transcript.whisperx[202].start 5886.667
transcript.whisperx[202].end 5902.89
transcript.whisperx[202].text 但是他們可能去申請用電的時候他們便宜形式沒有去申請農業用電他們就用一般用電但當初一般非營業用電的基本費跟農業用電是一樣所以都沒有人感覺
transcript.whisperx[203].start 5904.091
transcript.whisperx[203].end 5930.804
transcript.whisperx[203].text 但是現在是不是就是農業用電有動漲但是一般用電沒有動漲所以他就被調漲了呢所以本席希望說是不是農業部可以徹查這件事情說假設他的確是農地農用而且呢符合農業用電的資格符合農業用電的資格是不是讓他趕快可以重新申請可能
transcript.whisperx[204].start 5931.664
transcript.whisperx[204].end 5958.336
transcript.whisperx[204].text 怎麼樣整個重新申請的流程就是只要你真正從事農業所需的用電農業部一定會做協助然後這個部分也不是說某一年就截止了你隨時你有新增的部分都可以去申請你都可以重新來申請只要符合相關的規定那我所知道的部分就是農民不敢來申請就是他並不是實際的農用他有時候還拉到別的地方去所以他不敢來申請
transcript.whisperx[205].start 5959.67
transcript.whisperx[205].end 5987.874
transcript.whisperx[205].text 我目前接到的全部都是農用全部都是田用就是你知道灌溉用就是它的水利設施農業用電絕對沒問題我們一定會協助如果說有這樣的話我想我會請相關的單位再去做一些就是裡面有一個等於是SOP就是說他要申請農業用電要怎麼做因為他們好 這個部分我想我們可以同意就是我們會把你在什麼條件之下是可以申請農業用電的我們會透過我們的系統再讓農民知道
transcript.whisperx[206].start 5988.314
transcript.whisperx[206].end 6011.964
transcript.whisperx[206].text 好那這樣的話是不是也可以書面給本席讓我來協助大家宣導尤其部長就是說目前他們我也努力去查查這件事情就是說是不是要經過公所同意因為聽說等於是公所或者是縣市政府的農業單位要去現場查核嗎有需要嗎
transcript.whisperx[207].start 6014.625
transcript.whisperx[207].end 6043.295
transcript.whisperx[207].text 我這個詳細的部分我想基本上他陸續申請一定是跟台電申請然後台電會去勘查他是不是接到是農業所需的對嘛 對那所以就是這整個申請的流程不只是你補薩薩我也補薩薩農民也補薩薩所以他不曉得說到底他是不是農業用店我用一個非常簡單的一個SOP的表格就是說你如果今天農民要申請農業用店第一個你至少要有農作
transcript.whisperx[208].start 6043.655
transcript.whisperx[208].end 6051.017
transcript.whisperx[208].text 第二個接電的時候要從事農業的行為第三個要去哪裡申請然後申請完了以後台電就會把這個資料給我們我們就會撥錢給台電太好了因為現在有很多農民他明明是農用可是可能當初申請不曉得要申請農業用電他就用了一般用電那這個可能要協助他們變更然後如果假設
transcript.whisperx[209].start 6067.06
transcript.whisperx[209].end 6083.626
transcript.whisperx[209].text 涉及鄉鎮公所或者是縣市政府也請農業部是不是跟他們溝通說這個一定要簡化流程因為有很多農民喔是因為看到這個小端他才知道說啊原來我農草保的不是農業用電所以這個謝謝部長喔那請儘速的是不是你會委託署長嗎還是誰要趕快儘快是不是給我們一個書面這樣子
transcript.whisperx[210].start 6094.09
transcript.whisperx[210].end 6121.103
transcript.whisperx[210].text 我回去就會交代因為他不只是農業用電還有漁業用電是 農業用電 漁業用電所以這個部分我想我回去會有一個窗口然後把相關的資訊會給地方政府或是透過農會然後也會提供給委員這樣子是 好不好謝謝 謝謝部長謝謝張家俊委員的資訊謝謝 謝謝部長我們現在請謝一鋒委員資訊我們待會鄭天才委員資訊完我們就休息
transcript.whisperx[211].start 6131.567
transcript.whisperx[211].end 6135.714
transcript.whisperx[211].text 好 謝謝主席我想要請我們農業部的陳部長我們請陳部長委員好
transcript.whisperx[212].start 6144.625
transcript.whisperx[212].end 6164.69
transcript.whisperx[212].text 早安我想要請教一下就是我們農業科科技園區的這個管理條例裡面提到說要就是追溯至納管後跟施行前那目前我們會影響以及急需到法源支持的業者具體有多少家
transcript.whisperx[213].start 6167.338
transcript.whisperx[213].end 6193.92
transcript.whisperx[213].text 如果不追溯的話是否會出現經營權的這個斷層我跟委員報告需要追溯目前是一家那時候不知道法什麼時候通過所以現在一家然後我們也的確發現了現在的一個問題就是原來的那個屏東科技園區社管條例都是農企業那我們把蘭花園區併入了以後
transcript.whisperx[214].start 6194.58
transcript.whisperx[214].end 6219.845
transcript.whisperx[214].text 那相對的 蘭花園區的屬性都是獨立商號或是自然的人所以這個部分相對的對他們來講後面的繼承特別是在第一代的蘭園的蘭祖他年紀已經比較大了他一直想要透過繼承可是相對的現在的法是沒辦法讓他繼承的所以都一直卡在那邊對啊 我看到你後面那個謝主任他本來也要來我們溪州設一個園區是不是
transcript.whisperx[215].start 6221.502
transcript.whisperx[215].end 6238.722
transcript.whisperx[215].text 也是要來彰化設一個園區還有就是說農產品的這個市場交易法裡面根據批發市場的用地農業部他要放寬就是租用私有土地但是以國營事業的土地為限那
transcript.whisperx[216].start 6239.062
transcript.whisperx[216].end 6267.794
transcript.whisperx[216].text 可是這在地方的時候會面臨到一個問題喔就是當地方政府在簽建市場的時候如果周邊沒有國營事業土地因為你也不確定嘛然後有可能是舊地就是說可能是舊地呀然後擴建或等等的那如果沒有國營事業的土地的時候那還有沒有其他的配套的方式呢我想基本上喔第一個就是農業部會支持這樣子的一個
transcript.whisperx[217].start 6269.038
transcript.whisperx[217].end 6285.17
transcript.whisperx[217].text 的處理是因為批發市場是我們農產品給消費給消費者的最後一里路的這個重要的節點那現在目前如果說當地有國有地那相對的我們會來協調然後我們在這次修法裡面是以國營事業的地為主
transcript.whisperx[218].start 6286.651
transcript.whisperx[218].end 6301.184
transcript.whisperx[218].text 那私有地的時候因為私有地取消私有土地財產是要個人的協商沒有辦法說由政府出面去租用所以這個部分我們在條文是希望說盡量能夠配合我們
transcript.whisperx[219].start 6301.884
transcript.whisperx[219].end 6319.375
transcript.whisperx[219].text 能夠掌握的國營事業的土地然後跟經濟部那邊做一個很好的協商他沒有的話就變成回到個人的部分有時候批發市場用地或者是就是這些批發市場都是既定的然後既有的那除非是牽涉到其他地方
transcript.whisperx[220].start 6319.975
transcript.whisperx[220].end 6343.762
transcript.whisperx[220].text 做擴大才有可能就是說試用這個那如果就地要擴大的時候例如說我們我們彰化的就是田尾的花卉中心或等等的那這個當然就會涉及到就是說旁邊的私有地怎麼樣子一併的納用那這會不會符合就是現在在講的民間擴大投資
transcript.whisperx[221].start 6345.14
transcript.whisperx[221].end 6366.082
transcript.whisperx[221].text 是不是政府現在也希望民間的資金擴大投資公共預算嗎我們現在的做法不是說私人私有土地我們就不處理我們只針對租用的部分租用的部分我們限定在國營事業的土地但是其他的就是
transcript.whisperx[222].start 6367.003
transcript.whisperx[222].end 6394.489
transcript.whisperx[222].text 架构的部分或是徵收的部分我们必要的时候我们政府都会来协助好所以只有租用才是因为租的话因为纯私人土地很难有公权利介入但是国营私业我们可以透过协助但是私有土地的让售就是架构的部分跟徵收的部分就是另外这是分开来的对 还是会继续走还是会继续协助OK 好那我了解了谢谢
transcript.whisperx[223].start 6395.089
transcript.whisperx[223].end 6420.422
transcript.whisperx[223].text 那還有就是現在就是面臨一個問題去年11月到12月青花菜你知道嗎收成很多啊那現在價格變低了這怎麼辦青花菜菜農有時候他還要整理菜然後還要需要就是說包裝等等的他覺得說這樣子上架他可能不服務成本嗎那
transcript.whisperx[224].start 6420.902
transcript.whisperx[224].end 6446.42
transcript.whisperx[224].text 現在要怎麼處理要補貼嗎我跟委員報告青蛙菜的面積大概跟去年沒有 去年跟前年大概都差不多對但是一個非常重要的就是在去年的時候在11月 12月的時候因為它天氣比較暖了以後它的產期變成過度的集中所以在12月份特別是12月份的價格是有偏低的但是現在1月份的話根據我們的監控的價格是已經有拉上來了
transcript.whisperx[225].start 6447.34
transcript.whisperx[225].end 6470.096
transcript.whisperx[225].text 拉多少但是我要跟委員報告就是後續我們會更細膩的去處理就是在源頭的部分他們有分批的種植然後如果說我們有一個比較好的種植登記然後如果量太多的時候我們會提前啟動可能的這些加工的凍除因為那我們現在來得及嗎現在呢
transcript.whisperx[226].start 6470.576
transcript.whisperx[226].end 6496.616
transcript.whisperx[226].text 現在價格都不錯了現在價格都不錯 但是我是說可是還是沒有我們現在有在做加工還是持續在做你是不是應該現在也是持續的把一些已經收成的加工嘛 冷凍嘛對不對是不是做冷凍的相關的吧冷凍的部分我們現在持續在拉那其他的部分呢有一些人覺得說沒有辦法了你價格太低的部分你要進行你有考慮救急性的補貼嗎
transcript.whisperx[227].start 6497.711
transcript.whisperx[227].end 6514.622
transcript.whisperx[227].text 沒有 因為現在量大概都回穩了所以我想我們後續會更細緻的去這些監控我覺得我們還有很多改進的空間這個部分特別是在拉到其他的國家去或是做動存提早啟動動存的這些協助
transcript.whisperx[228].start 6515.262
transcript.whisperx[228].end 6539.406
transcript.whisperx[228].text 你有做動存嗎可是有一些人他那你們都是透過合作社對不對你們現在目前都是透過合作社但是你必須要考量到有一些小農他沒有加入合作社的是不是沒有我們是透過合作社去跟一些小農對接這個我們會來協助你們現在透過是合作社但是也有一些小農他沒有
transcript.whisperx[229].start 6539.966
transcript.whisperx[229].end 6563.68
transcript.whisperx[229].text 你知道嗎他沒有進入合作社的體系裡面那這些怎麼辦所以我才說這些小農你要不要做相關性的救急的就是因為他沒有辦法進入這些就是救急的冷凍或者是就是能夠進入冷鏈的這樣子的一個凍存的階段那是不是給予他救急性的補貼我跟委員報告
transcript.whisperx[230].start 6564.68
transcript.whisperx[230].end 6587.86
transcript.whisperx[230].text 就是總量的部分有一部分有契作我們把這個契作的收到加工的部分的話那市面上的量就少那這些個體戶本身的價格就會拉起來我們大概用這樣的方式操作啦那如果說有個體的一些需要協助的部分我們也會協助他跟這些合作社長做對接啦那外國的呢外國的要不要再外國的
transcript.whisperx[231].start 6588.4
transcript.whisperx[231].end 6606.87
transcript.whisperx[231].text 外國我們現在沒有處理外國進來的我們不處理他只有在夏天他冬天沒有進來啊他冬天沒有進來是不是冬天沒有進來他是夏天進來那是不是未來因為我們現在凍存了他是夏天進來有一部分是做凍存然後再釋出的啦對啊我們現在凍存會超多嗎我們進口的現在沒有進來但是我們不會去處理進口的蔬菜
transcript.whisperx[232].start 6608.051
transcript.whisperx[232].end 6635.289
transcript.whisperx[232].text 那如果动存的那个超多的时候是不是也要调节一下进口的量对我们进口量我们会跟进口商去沟通就是说当我的库存量我会把库存量去告诉进口业者其实国内已经有这么多了其实不需要从国外来进口好谢谢谢谢谢谢冯委员谢谢我们的部长我们请郑天才委员咨询
transcript.whisperx[233].start 6647.183
transcript.whisperx[233].end 6675.457
transcript.whisperx[233].text 主席我们请部长还有财政部副署长我们请我们的农业部还有我们财政部代表委员好部长好今天这个农产品市场交易法要审查修正条文现行的条文第十条特别提到这个农民团体共同运销之极后尝
transcript.whisperx[234].start 6676.269
transcript.whisperx[234].end 6703.988
transcript.whisperx[234].text 首吸用之土地是同农业用地适用第15条之规定其房屋税减税适用第17条的规定我们有委员提案要修正第10条改为增加第二项前项用地因专供农产品共同运销及后偿使用其房屋税及地价税减半征收
transcript.whisperx[235].start 6705.543
transcript.whisperx[235].end 6730.77
transcript.whisperx[235].text 这个农业部的报告里面对于这个农民团体共同运销集合场土地适用第15条规定表示支持但是对于房屋税及地价税减半证说认为这是财政部的前者好我们看这个财政部的报告是这个这里面特别提到
transcript.whisperx[236].start 6731.943
transcript.whisperx[236].end 6760.413
transcript.whisperx[236].text 工农产品 工农运销及后厂使用之土地 视同农业用地课征填付而填付至76年起停征原建议不宜征定地价税减半征收之规定我先请教这个财政部这个农业用地你这边写农业用地课征填付填付至76年起停征所以
transcript.whisperx[237].start 6761.638
transcript.whisperx[237].end 6791.037
transcript.whisperx[237].text 既然農業用地是課徵填付那我們的條文加了這個地價稅減半也不影響它也不會適用嘛是不是這樣是 報告委員是所以也不會適用所以這個條文看怎麼修才會比較適當而不是說不宜真訂因為你訂了之後也不適用嘛
transcript.whisperx[238].start 6792.106
transcript.whisperx[238].end 6817.78
transcript.whisperx[238].text 对不对是这样吗是好我们接下来所以农产品市场交易法第17条农产品批发市场之土地及房屋减半征收房屋税地价税或填付这是现行条文所以本席的建议我们在这个逐条讨论的时候也可以讨论
transcript.whisperx[239].start 6819.383
transcript.whisperx[239].end 6837.092
transcript.whisperx[239].text 就說第二項的部分前項用地專攻農產品共同運銷及後廠使用者其房屋稅地價稅或填付適用第17條規定這樣的話財政部有沒有意見
transcript.whisperx[240].start 6839.777
transcript.whisperx[240].end 6863.966
transcript.whisperx[240].text 是报告委员因为本来的农产品市场交易法的第十条也就是委员现在的第一项已经把所需用的土地明定为适同农业用地所以这就是刚报告的已经课征是属于课征填付的范围然后填付又在76年停征所以似乎就不用特别再去如果这样定的话也无妨吗
transcript.whisperx[241].start 6865.151
transcript.whisperx[241].end 6892.771
transcript.whisperx[241].text 也不會影響到你們的延誒的那個政策應該就不用碰到地價稅的問題因為前面四筒農業用地就已經進入到課徵填付的範圍了所以似乎就是只要留房屋稅的部分就可以好 這個我們在主條的時候再討論好 那個就財政部就請回座部長 這個接下來還是要再跟你談這個
transcript.whisperx[242].start 6897.365
transcript.whisperx[242].end 6915.364
transcript.whisperx[242].text 花蓮光復香這個佛祖街這裡的這些當然我這個照片是一個禮拜前的照片啦不曉得最近有沒有改變還是維持這樣你們有把它清掉了嗎這些土石 砂石
transcript.whisperx[243].start 6916.63
transcript.whisperx[243].end 6944.695
transcript.whisperx[243].text 相對的如果是在農田上面的部分我們現在正在有一些是在50公分以下的已經開始重新種植了那有一些在50公分以上的他會做整體的一個規劃如果他是落在整體的規劃區的話那線上面的東西就不會先動他了大概是這個方式農水署有沒有人來這樣我來跟部長回顧一下
transcript.whisperx[244].start 6945.973
transcript.whisperx[244].end 6975.351
transcript.whisperx[244].text 上次我也执行过你们上次的答复是说因为佛祖接这一代的这些农田有打算有两个方向其中一个方向就是征收你知道吗有两个方向你们现在在之前调查应该调查都差不多了吧
transcript.whisperx[245].start 6976.404
transcript.whisperx[245].end 6994.444
transcript.whisperx[245].text 我跟委員報告就基本上農田被淹沒大概774公頃左右然後分兩個部分一個部分是靠近靠近河道他有一個緩希望有個緩衝區會被徵收然後那個是水利署對水利署負責沒有我現在是談農業部分
transcript.whisperx[246].start 6995.845
transcript.whisperx[246].end 7022.374
transcript.whisperx[246].text 對 然後農業部過來的時候就是因為它那邊也是農田啊只是它會被水利署會去徵收嘛對 然後過來的話有一部分的區位可能會變成造林的部分因為它的土的 掩蓋的面積比較厚那再過來如果它是50公分以下的我們就會進行所謂的耕作的一個輔導部長 我們現在都談50公分以上的啦
transcript.whisperx[247].start 7023.58
transcript.whisperx[247].end 7047.658
transcript.whisperx[247].text 我们现在谈了对 50公分以上我们现在有一部分会被征收那现在要不要征收那个线还没有画出来我们也正在沟通因为也要当地的居民来同意对这样 不管要不要征收你要征收也必须把这个土移走不可能一直留在那边
transcript.whisperx[248].start 7049.762
transcript.whisperx[248].end 7067.152
transcript.whisperx[248].text 這個我只是拍了一部分的他就在房子的旁邊離房子非常近所以對屋主來講屋主來講這房子然後他就擔心又下豪雨
transcript.whisperx[249].start 7068.493
transcript.whisperx[249].end 7087.696
transcript.whisperx[249].text 对不对然后他的这是他的土地啊旁边是通常房子旁边就是他的农田嘛他的农田又就一直堆这个那么高的沙然后他又不能什么都不能用又担心又被影响所以这个部分
transcript.whisperx[250].start 7090.384
transcript.whisperx[250].end 7107.045
transcript.whisperx[250].text 現在已經從923、10、11、12要邁入第四個月了一直維持這樣也不是很好看所以這個部分請農業部長再請相關人員去了解
transcript.whisperx[251].start 7108.813
transcript.whisperx[251].end 7125.478
transcript.whisperx[251].text 我想我會請同仁去了解但是原則上如果土太厚的話你現在處理上面的沙丘是沒有意義的好 謝謝謝謝鄭天才委員資訊 謝謝部長我們現在開始休息五分鐘 謝謝
transcript.whisperx[252].start 7474.924
transcript.whisperx[252].end 7494.037
transcript.whisperx[252].text 我們現在請 開始開會 我們請邱志偉委員質詢好 謝謝主委 是不是請農業部陳部長 漁業署王署長我們請農業部陳部長 還有我們漁業署署長 謝謝這個陳部長 這個
transcript.whisperx[253].start 7503.562
transcript.whisperx[253].end 7522.879
transcript.whisperx[253].text 史無前例啊 這個立法院今年度的中央政府總預算都還沒覆違啊這個當然會影響很大那不審 新興計畫就沒有辦法動之 對不對那很多的這個政策就沒有辦法推動我想請教部長就是說 針對總預算不審
transcript.whisperx[254].start 7525.787
transcript.whisperx[254].end 7550.521
transcript.whisperx[254].text 會影響到農業部相關的預算它規模到什麼程度我跟委員報告我們內部經過計算以後大概總共的預算大概有將近90億是不能動之的分兩個區塊一個區塊是新興的計畫是完全不能動的大概是16點多億那另外一個是延續性計畫但是因為我們增加了很多項目
transcript.whisperx[255].start 7551.742
transcript.whisperx[255].end 7570.599
transcript.whisperx[255].text 增加的不能动之你只能沿用增加的部分大概有70亿所以两个加起来74亿加起来大概有90亿新型计划不是不能动之要经过立法院同意如果假设真的完全都不审那你们针对新型计划要提到立法院
transcript.whisperx[256].start 7571.6
transcript.whisperx[256].end 7586.047
transcript.whisperx[256].text 請立法院同意有沒有這種想法我想我們最大的根本還是希望總預算能夠進到副委副委來來討論嘛那如果對農業部分的經費有任何疑義我們都願意跟委員做溝通跟協商
transcript.whisperx[257].start 7587.107
transcript.whisperx[257].end 7612.073
transcript.whisperx[257].text 那總預算過才會包括新興的部新興的部分跟延續的部分一併來處理這個主要是要照顧農漁民對發展農漁業農漁民農漁業是相對在產業結構裡面相對比較弱勢需要政府更多的協助對不對特別請王署長我想請教如果這個總預算不省影響了漁業署的預算我們對第二類漁港的建設的補助
transcript.whisperx[258].start 7612.873
transcript.whisperx[258].end 7629.888
transcript.whisperx[258].text 以及對養殖儀業的這個補助的影響大概規模有多大跟委員報告現在我們新興的部分特別是養殖的生產端管理像一些供排水系統或是養殖區生產道路的一些建設都會受到影響
transcript.whisperx[259].start 7630.569
transcript.whisperx[259].end 7654.296
transcript.whisperx[259].text 那這個部分大概有一兩億的預算那我的漁港的部分因為漁港部分現在在配合財化法的修正的部分因為二類漁港的部分屬於這個地方政府的主管權責那一個部分在我們原來預算編列的時候就已經配合財化法的修正已經調成地方的這種一般性的補助款 是
transcript.whisperx[260].start 7655.117
transcript.whisperx[260].end 7667.214
transcript.whisperx[260].text 那如果非二類漁港比方說在我的選區你也知道你常常去永安 彌陀 紫關這個興達港這些這個漁港要怎麼讓它現代化
transcript.whisperx[261].start 7668.611
transcript.whisperx[261].end 7697.214
transcript.whisperx[261].text 設施的這個提升漁港建設的這個投入是會影響委員雖然說我們現在配合財化法的修正一些協助地方政府建設二類漁港的經費已經切到地方政府去了但是如果說地方政府確實因為預算的一個短缺需要延提比較大型的這種中長城計畫那只要地方政府延提上來我們署裡面會協助我有做會審
transcript.whisperx[262].start 7698.355
transcript.whisperx[262].end 7712.211
transcript.whisperx[262].text 对对对针对我的选区包括这个紫关 弥陀 永安跟这个新大港这些都是老旧的渔港需要现代化渔民作业安全或者是这个渔产交易环境的改善
transcript.whisperx[263].start 7714.093
transcript.whisperx[263].end 7727.248
transcript.whisperx[263].text 這個如果提這個專案計畫呢是就是提專案計畫我們絕對會來支持協助像行政院來爭取比較有高雄市政府提出一個專案計畫專案計畫但你要抱怨嘛
transcript.whisperx[264].start 7728.069
transcript.whisperx[264].end 7748.908
transcript.whisperx[264].text 包園如果同意的話我跟委員報告一下就是在整個經費的運用上面來講雖然說二類漁港是地方政府但是地方政府如果裁員可能分配上面可能不夠的時候他可以提專案您說的專案計畫專案計畫就是中長城公共建設那中長城公共建設經過國會審定行政院核可以後這個有沒有在總預算的範圍裡面這個目前
transcript.whisperx[265].start 7751.87
transcript.whisperx[265].end 7767.942
transcript.whisperx[265].text 已經有切到地方的話我的意思是說如果高雄市政府提出這個離港建設專案計畫比方說他提出20億這20億有沒有包括在農業部的年度預算也包括在裡面後續如果行政院中長城計畫審議通過了還是編在我農業部啊
transcript.whisperx[266].start 7771.084
transcript.whisperx[266].end 7789.913
transcript.whisperx[266].text 就是由中央補助地方的經費額度裡面去那也沒那麼快最快也要到如果說今年入體啦那一定是列入民營度預算嘛我們大概每一年的中南農公共建設依規定大概是在2月底然後開始審最慢是5月底之前要提送所以這個在查法法的限制之下這也是一個解決的方案對
transcript.whisperx[267].start 7791.969
transcript.whisperx[267].end 7814.604
transcript.whisperx[267].text 我會覺得這個全盤把整個高雄市的漁港建設就透過專案計畫來這個會比較一勞永逸我跟委員報告雖然說我們有一些是切到地方去但是它的建設如果是對整個的產業的影響的話那中央的政府會有相關的另外的一個協助大概會這樣的方式第二問題請教一下部長就是這個
transcript.whisperx[268].start 7815.624
transcript.whisperx[268].end 7842.532
transcript.whisperx[268].text 台美關稅的談判還沒有最後的一個這個最後的結論出來嘛但是應該談得差不多的我是比較關心這個農業的部分農業的部分這個之前大家討論關注大概就是加強對美國的採購嘛而且不是由政府編的運算去採購是由民間這個都由民間的部分有沒有牽涉到
transcript.whisperx[269].start 7843.973
transcript.whisperx[269].end 7855.632
transcript.whisperx[269].text 比較敏感的部分比方說市場開放我想所謂的市場開放基本上就是所說的關稅的部分那關稅是一定會在談判裡面會去觸及的
transcript.whisperx[270].start 7857.932
transcript.whisperx[270].end 7874.159
transcript.whisperx[270].text 但是我們會堅持的就是所有的品項裡面它對台灣的農民是衝擊是最小的然後這種市場開放是對於我們成本是有幫助的那另外一類是什麼我們本來就有開放了
transcript.whisperx[271].start 7874.659
transcript.whisperx[271].end 7894.115
transcript.whisperx[271].text 然後如果說讓美國的關稅比較低的時候他只是在競爭國之間輸入的競爭國之間去做互相的取代如果從國家利益角度來看美國一定從這個關稅的談判中是讓美國的國家利益最大化對這個有時候國家利益之間是零和的
transcript.whisperx[272].start 7894.943
transcript.whisperx[272].end 7912.248
transcript.whisperx[272].text 他的國家利益最大化就是我們國家利益可能會受到影響那我們就是讓我們的農業的影響是降到最低我們是用這種角度去談所以你有把握你有信心如果他的要求不要說對市場開放這個部分你有這個信心可以因應
transcript.whisperx[273].start 7913.523
transcript.whisperx[273].end 7939.731
transcript.whisperx[273].text 確保這個農民的生計或者是農業產業不會受到太大的衝擊我跟委員報告我們大概分三類一類就是開放以後是對完全對我們沒有影響反而是有幫助的像黃曉玉的部分嘛然後第二類的部分就是我們那個我了解 對比較說影響是大一些的確可能會有一些有必須某個程度的影響那美國程度的影響的話我們就會用產業支持的方案去協助他
transcript.whisperx[274].start 7940.332
transcript.whisperx[274].end 7943.005
transcript.whisperx[274].text 這些方案出來了嗎我們都已經準備好了好 第三類
transcript.whisperx[275].start 7944.284
transcript.whisperx[275].end 7969.702
transcript.whisperx[275].text 你說還有第三種對 都已經準備好了你說第一類就是黃小玉對第二類就是說我開放之後會對產業衝擊你會有產業支持方案對那還有其他的嗎大概我們分三類另外一類是競爭對手國輸入國彼此之間的競爭去取代它對台灣的整個市場的交易也不會有影響那第三類才會有某個程度的影響那某個程度的影響我們就有產業支持方案去協助
transcript.whisperx[276].start 7970.422
transcript.whisperx[276].end 7991.242
transcript.whisperx[276].text 所以你們有相關的因應方案可以克服這些關稅的衝擊對 農糧的漁業的畜牧的我們每一個品項都做了這樣的一個評估最終方案如果攤出來對台灣的農業不是造成太大影響我們認為其實台灣的農業沒有想像那麼脆弱我們有沒有韌性我們絕對有那個韌性
transcript.whisperx[277].start 7993.161
transcript.whisperx[277].end 8008.131
transcript.whisperx[277].text 沒有那麼脆弱啦所以如果這個出來大家跟大家的期待有很大的落差的時候要怎麼樣去跟這個農運民做說服或者去跟農運民去說明或者討論
transcript.whisperx[278].start 8009.927
transcript.whisperx[278].end 8031.449
transcript.whisperx[278].text 對 所以我們現在其實我很擔心因為這個最後的文本還沒出來如果跟我們的期待有落差的時候你們應該趕快跟受到影響的農業民去做溝通 做說明以及相關的支持方案要很明確跟大家知道我想我們如果公開了以後我想我們第一時間就會提出相關的一個完整的方案我們都已經準備好
transcript.whisperx[279].start 8032.93
transcript.whisperx[279].end 8056.249
transcript.whisperx[279].text 等到一旦公布了以後我想我們第一時間就會跟各地的相關的利害關係的農民去做一個說明這個我們一定會做到所以你們有信心把農業育民顧好把農業產業顧好我個人是有信心因為台灣的農業沒有那麼脆弱而且台灣農業應該有他的競爭力漁業也是也是好謝謝謝謝邱志偉委員謝謝部長我們現在請呂玉玲委員資訊
transcript.whisperx[280].start 8072.299
transcript.whisperx[280].end 8073.442
transcript.whisperx[280].text 謝謝主席 請陳部長我們請陳部長
transcript.whisperx[281].start 8082.349
transcript.whisperx[281].end 8108.387
transcript.whisperx[281].text 部长你刚刚说我们的农业不会这么脆弱应该很有韧性所以台湾的整个农业的韧性也要靠我们部长来继续努力那尤其是我们要让我们年轻人能够从农的这个行列我们也导入了很多包括是数位的跟我们的AI的模式那尤其要提升的就是我们整个农产品品质跟它的那个产能这才是最重要的
transcript.whisperx[282].start 8108.727
transcript.whisperx[282].end 8129.367
transcript.whisperx[282].text 而且还要透过我们外销市场来增加我们整个农业产品的收益这还是最重要的在2019年的时候陈吉仲那时候是主委他就说了希望我们的外销能够突破60亿的美元但是我们看到这个数据
transcript.whisperx[283].start 8130.663
transcript.whisperx[283].end 8143.959
transcript.whisperx[283].text 每年一直下降下降到2024年的話剩下49億到今年2025年的11月剩下41億那現在這個整個外銷的市場上是碰到了什麼瓶頸的問題呢
transcript.whisperx[284].start 8145.85
transcript.whisperx[284].end 8164.141
transcript.whisperx[284].text 我想第一個部分就是在這兩年它的整個外銷產值降低有一個最大的原因就是其實您看今年的三今年從旦那斯颱風一連串的這些天災還有去年的三個颱風那相對的我們的外銷通常是當我們的產地相對的
transcript.whisperx[285].start 8166.281
transcript.whisperx[285].end 8187.207
transcript.whisperx[285].text 這個產 供應量穩定的時候我們才有機會去外銷那因為這兩年它本身國內的需求是因為總體量變少了所以相對的外銷就會導致外銷的數量沒有辦法再持續的增加但是我們針對比較新興的主要的這些市場我們還是持續的去努力的去開拓
transcript.whisperx[286].start 8188.362
transcript.whisperx[286].end 8207.912
transcript.whisperx[286].text 所以部長我們看到整個外銷市場雖然說這個金額一直下降你說是因為內需的關係所以說沒有辦法去外銷這個是你的說辭因為天然災害的關係因為颱風影響很多產品但是我們外銷市場現在目前看起來我們大概都知道美國跟日本比較多
transcript.whisperx[287].start 8209.547
transcript.whisperx[287].end 8232.624
transcript.whisperx[287].text 我想还有澳洲纽西兰加拿大对还有新南向对新南向大概占我们外销农产品的市场25%而已对不对差不多差不多这个那为什么会新南向的话只有占25%是因为我们地区的气候环境还是我们同质性很高所以我们会竞争比较大合作比较少
transcript.whisperx[288].start 8233.084
transcript.whisperx[288].end 8247.082
transcript.whisperx[288].text 我跟委員報告就是新南向的部分要看特定的品項因為本身的氣候環境相對的類似然後本身的品種那個產品之間有它的替代性所以它沒有辦法說
transcript.whisperx[289].start 8248.303
transcript.whisperx[289].end 8264.34
transcript.whisperx[289].text 全力的一直往東南新南向的地方走所以我們希望說拉到其他的國家像比較北部的比較溫帶的像日本日本韓國的部分或者是美洲的加拿大那邊還有南半球的澳洲紐西蘭的部分來開拓
transcript.whisperx[290].start 8265.841
transcript.whisperx[290].end 8289.024
transcript.whisperx[290].text 其实如果说是同时性大的话那我们就必须要有一些差异化的产品我们就可以行销到东南亚新南西亚对你要找有差异性的我们要有自己的规划要有重新去检视的方式是好不好是还有刚刚你刚才讲到说很多国家你是讲说外销的其他澳洲哪里哪里你都没有提到欧洲欧盟国家
transcript.whisperx[291].start 8290.045
transcript.whisperx[291].end 8310.479
transcript.whisperx[291].text 是不是因為距離比較遙遠運輸的問題所以我們要突破這個外銷的瓶頸除了我們農產品不容易保存那我們用冷鏈的方式或者是我們儲存運輸的方式這些都是我們趕快建制好來的話就可以往歐盟國家去發展是不是我跟委員報告 特別是
transcript.whisperx[292].start 8311.279
transcript.whisperx[292].end 8332.098
transcript.whisperx[292].text 在欧盟的部分过往都是花费比较多然后现在我们的水果像我们很高兴就是说番石榴番石榴跟芒果他也可以去外销但是一旦开放因为简易的条件的关系开放了以后可能要两年到三年才能够进到他的市场的正常的通路系统
transcript.whisperx[293].start 8332.799
transcript.whisperx[293].end 8350.929
transcript.whisperx[293].text 所以像番石流現在可以了那我們現在要積極建立跟對方的通路系統做對接我們不希望說純粹靠貿易商有沒有零單的去輸出可是部長台灣比較有代表性的農產品是鳳梨那為什麼鳳梨不能運銷過去
transcript.whisperx[294].start 8352.029
transcript.whisperx[294].end 8377.478
transcript.whisperx[294].text 因為台灣的鳳梨基本上它的風味非常好但是它有一個比較脆弱的就是它的果皮不適合比較長期的長程的運輸所以我們一方面我們也開發了一些比較適合長程運輸的這些像芒果鳳梨它比較好的部分可以去做主打那這個部分所以以鳳梨來講我們基本上還是用鄰近的以日本的市場為主的
transcript.whisperx[295].start 8378.098
transcript.whisperx[295].end 8386.238
transcript.whisperx[295].text 的一個策略因為台灣是個果蠅的疫區所以我們對於這個防疫跟檢疫方面的話我們要怎麼再加強
transcript.whisperx[296].start 8387.799
transcript.whisperx[296].end 8415.192
transcript.whisperx[296].text 我想果蠅的部分那基本上有一些有一些国家像我记得像纽西兰的部分像澳洲的部分它有一些是用切那个凤梨头的方式去运输嘛所以真的简易的部分我们会更精进的在国内的是适合不同的国家外销去做这些可以用蒸热跟冷藏的方式对用冷藏的方式可以出还有节切的部分像凤梨
transcript.whisperx[297].start 8416.491
transcript.whisperx[297].end 8443.571
transcript.whisperx[297].text 我跟委員報告日本以日本市場他們越來越喜歡我們節切的鳳梨節切好的那節切好的部分他就避開了很多的簡易的一個條件所以很多方法都可以做所以歐盟國家我們不要放棄好不好我們絕對不會放棄調整一下我們整個出口的策略任何有機會的國家我們都不會放棄還有部長請教你的就是說我們外銷的話我們有些產品
transcript.whisperx[298].start 8444.392
transcript.whisperx[298].end 8462.323
transcript.whisperx[298].text 我们的农产品我们是有它的那个品种权植物的品种权那这植物的品种权的话很多在台湾也好或者是各个国家那他们的有几项有产品的品种权那个品种权非常多那基本上
transcript.whisperx[299].start 8463.757
transcript.whisperx[299].end 8487.575
transcript.whisperx[299].text 有爭取到的因為我們必須保留我們的產品的品種權我們國內的現在有302項我們國內的302項取得的國外呢國外的部分有應該是有241項是蝴蝶藍的藍花的部分那水果部分有沒有水果的芒果芒果最主要是芒果的部分
transcript.whisperx[300].start 8489.845
transcript.whisperx[300].end 8505.51
transcript.whisperx[300].text 部長會這樣子詢問你的話最重要是我們要保障農民的權益那有些我們不管是花卉也好水果也好到國外去之後的話我們的品種被人家培育去量產的話對我們的競爭是很大的壓力是不是所以那申請這個品種權的時候可能
transcript.whisperx[301].start 8507.991
transcript.whisperx[301].end 8522.163
transcript.whisperx[301].text 費用會很昂貴程序要走得很遠很久的時間所以我們希望農業部可以協助我們的農民來爭取來申請我們的這個品種權好不好我跟你講我們一直都有在協助就是過往是特別是花卉比較多
transcript.whisperx[302].start 8522.924
transcript.whisperx[302].end 8538.345
transcript.whisperx[302].text 那其他的農產品的話如果說是公部門因為大部分都是公部門育種出來的然後我們會在目標市場國去取得品種權然後相對的如果私人品種的話如果他願意到國外去做品種權申請的話我們也很樂意來協助
transcript.whisperx[303].start 8539.426
transcript.whisperx[303].end 8554.571
transcript.whisperx[303].text 主動協助啦對我們會我們會我們一直有一個團隊保障農民的他們的產品的權利到國外被人家去仿造之後的話被人家培育完成之後我們的競爭力就會下降我們的外銷數字就會越來越好看好不好部長加油謝謝謝謝李玉玲委員資訊謝謝部長我們現在請蘇清泉委員資訊
transcript.whisperx[304].start 8570.371
transcript.whisperx[304].end 8574.838
transcript.whisperx[304].text 謝謝主席我請陳部長還有月屬署長還有農糧署署長我們的農糧署署長柏中你好我先跟你感謝
transcript.whisperx[305].start 8584.488
transcript.whisperx[305].end 8610.325
transcript.whisperx[305].text 因為我們平壤那邊 像最近車城的農會超市前一陣子我們到現場去現勘 我有看到他們的反應 他們的冷凍骨骼都骨壞了對嘛還有我們南區文書的人去 很好啦我最早做過的事很快 今天有看到那個公文你們有幫忙嗎 幫忙多少幫忙多少
transcript.whisperx[306].start 8613.763
transcript.whisperx[306].end 8634.673
transcript.whisperx[306].text 三百多萬三百多萬 對 這樣有錢 感謝我常常跟部長合謀 跟署長合謀部長說我都在消遣 不會 我自己簽訂謝謝委員來 我要問第一次比較嚴重的這兩天天氣溫度很低我今天在氣溫當天出來 十二度如果在氣溫空曠 你看像這樣風這樣沙
transcript.whisperx[307].start 8643.66
transcript.whisperx[307].end 8670.337
transcript.whisperx[307].text 應該10度以下啦啊 我們漁業暑假齁再去我問一下 那個窩魚的酒瓣的這個 尤其是我們煮食齁 他們的沙發魚的更加嚴重啊這要怎麼處理 要怎麼預防我跟委員報告齁 就是說像我們的養殖漁業的部分喔特別像虱目魚有沒有它的低溫超過10度以下 連續一段時間我們就有所謂的那個天然災害的啟動啦
transcript.whisperx[308].start 8671.618
transcript.whisperx[308].end 8687.874
transcript.whisperx[308].text 它不用去現看用天氣的參數然後我們觀察其實在屏東地區它白天溫度還是會回溫那晚上的溫度雖然說偶爾會降到10度C以下但是因為像虱目魚的話它要連續10度C以下一段時間才會凍傷
transcript.whisperx[309].start 8689.676
transcript.whisperx[309].end 8702.03
transcript.whisperx[309].text 所以它偶而會下降但是它還是在10度12到13度左右它影響就不會那麼大我們會比較密切的去監控如果說遇到天然災害需要啟動我們會馬上來啟動對了 我現在想問你現在那大約2000公頃
transcript.whisperx[310].start 8708.433
transcript.whisperx[310].end 8714.875
transcript.whisperx[310].text 幫寮 家當 到台我看酒吧的事 我覺得很傷心那天看 這麼大尾的酒吧也凍死了他現在說都不吃東西不吃東西 又跟兩個人說台灣跟兩個人的病毒就聰明了還有我讀義豐 還是說水家當 高青 我讀沒有
transcript.whisperx[311].start 8730.521
transcript.whisperx[311].end 8754.018
transcript.whisperx[311].text 說到這 屏東的部分大面積的養殖 他們的殼都更深所以遇到寒流的時候 那個魚兒會躲到那個池底就比較能夠抗寒所以這個部分 我也 漁業署也持續的跟屏東的地區如果說他願意做魚溫的這些改善的時候那我相信在我們能力範圍之內 我們也會來協助啦
transcript.whisperx[312].start 8754.318
transcript.whisperx[312].end 8767.734
transcript.whisperx[312].text 就是說他如果要叫我更親密 你們可以幫忙我們可以來協助 可以來幫忙尾巴有沒有好 尾巴有沒有好嘛有擋風的部分啦擋風的部分啦所以 除了這樣移瓜 也沒什麼好的
transcript.whisperx[313].start 8771.28
transcript.whisperx[313].end 8789.25
transcript.whisperx[313].text 就是引入新的海水去讓它升溫然後微網讓它豐有沒有那豐也是靠你豐然後池底加深那這幾個部分如果說漁民特別是挖池底需要一些建設有沒有 工程的部分那我相信農業部在經費許可一定會來協助好
transcript.whisperx[314].start 8790.014
transcript.whisperx[314].end 8815.367
transcript.whisperx[314].text 那最後一個就是你如果要萬一需要補充你也是用一般的補充 或是說有養殖認證的跟沒有的 步驟不一樣嘛應該是要有養殖登記 養登的才有養登我們屏東關就很慢的嘛 現在幾%每個漁民每天就在那裡靠腰 政府到底是不是在讓他們入伏我看公司70% 70%
transcript.whisperx[315].start 8817.355
transcript.whisperx[315].end 8818.378
transcript.whisperx[315].text 80% 我想報告現在我也是跟地方政府在說 因為
transcript.whisperx[316].start 8823.856
transcript.whisperx[316].end 8846.852
transcript.whisperx[316].text 養燈的部分在屏東他是要跟水權要合在一起那我現在是主張把水權另外去處理啦那在其他的縣市他不跟水權在一起的時候他養燈的比例就比較高啦因為屏東縣政府因為地層下限的關係他一直跟水權要取得合法的水權這我們在溝通啦
transcript.whisperx[317].start 8848.271
transcript.whisperx[317].end 8851.635
transcript.whisperx[317].text 沒有啦 你要 不可以這樣想 只有50幾%而已嘛 還是40幾%對啦 你這樣不行 如果遇到風太大 遇到像這個寒海你這樣給漁民血便有過啦 不對
transcript.whisperx[318].start 8863.381
transcript.whisperx[318].end 8882.808
transcript.whisperx[318].text 我再來想想有沒有辦法因為養燈的部分是地方政府規定的嘛那我們在天然災救助看可不可以避開除了養燈以外我們可不可以設計另外一種方式啦我們再來研究看看有沒有辦法去脫鉤啦好 謝謝謝謝蘇青選委主席謝謝謝謝部長我們請
transcript.whisperx[319].start 8892.273
transcript.whisperx[319].end 8920.738
transcript.whisperx[319].text 我們請鍾嘉斌委員質詢主席在場委員先進列席的政務司長官員會長工作夥伴媒體記者女士先生有請我們陳部長跟薰木斯理事長我們請陳部長好 部長好 市長好
transcript.whisperx[320].start 8921.88
transcript.whisperx[320].end 8950.005
transcript.whisperx[320].text 部長到農業部擔任次長跟部長大多久了多久我108年3月那就當次長6年了嘛7年了我記得在你當次長的時候你有處理什麼議題是讓你印象深刻的那時候你還在當次長我這樣直接講好了我那時候對你印象深刻的就是之前的陳部長在推動要農藥減量
transcript.whisperx[321].start 8952.048
transcript.whisperx[321].end 8964.985
transcript.whisperx[321].text 那时候你在次长的时候你协助了我们的实名制对不对对那有没有受到当时一开始很大的不适应甚至反弹甚至压力有没有那时候非常大的压力是来自于哪里
transcript.whisperx[322].start 8966.392
transcript.whisperx[322].end 8990.49
transcript.whisperx[322].text 來自於哪一個地方來自於農藥行農藥行本身他認為你用實名制登記的時候會讓他有一些藥有沒有沒辦法賣這個我們就不提農民本來也不太適應對農民一開始覺得說太麻煩了後來連肥料都透過實名制解決了供銷的問題後來這個制度是證明是有幫助的對農民現在也接受了
transcript.whisperx[323].start 8991.491
transcript.whisperx[323].end 9005.653
transcript.whisperx[323].text 對現在農民農藥實名制肥料實名制都可以接受農藥行他也不再反彈了嗎對90%多都已經接到POS系統那對農藥廠來講這也沒有影響到他們的銷售完全沒有影響好那整體來講這看起來我們台灣的農藥
transcript.whisperx[324].start 9006.914
transcript.whisperx[324].end 9027.264
transcript.whisperx[324].text 農業用藥有沒有減一些下我們現在的目前農藥10年風險減半的部分我們預計在117年可以達到52%風險減半包括用量也減少對 劇毒農藥退場很好那麼這就是造成我們台灣的環境跟農民的健康的保障是好 那我現在再請教一下農民用完的農藥罐農藥容器怎麼處理
transcript.whisperx[325].start 9029.775
transcript.whisperx[325].end 9053.254
transcript.whisperx[325].text 有回收嗎我們環境部有一個資源的回收的一個辦法所以我所知道的是農藥廠比照其他的容器業者他有繳個基金那這個基金再去支持回收業者回收那請教一下你在農村外面看到的這些丟棄的飲料瓶你分得出是飲料還是農藥嗎
transcript.whisperx[326].start 9054.998
transcript.whisperx[326].end 9076.613
transcript.whisperx[326].text 看外觀應該看得出來看得出來 很好所以我要告訴你其實在實荒的人的過程當中他們不太想去碰農藥瓶因為回收場不太想收因為農藥瓶裡面可能有氣味而且你知道嗎 環境部規定同樣是塑膠容器農藥瓶的部分要格外的處理它也不能夠壓縮那很佔空間 還會有氣味你知道這個部分嗎
transcript.whisperx[327].start 9077.193
transcript.whisperx[327].end 9095.308
transcript.whisperx[327].text 了解他要適度的要三次的沖洗對所以說目前你知道目前環境部本來指定的專一全台灣就一家廢氣農藥瓶容器的處理廠他已經沒有辦法做了這段時間是用焚燒的方式嘛現在環境部還在找一家來做嘛你覺得怎麼樣解決這個問題減少環境的破壞
transcript.whisperx[328].start 9099
transcript.whisperx[328].end 9118.297
transcript.whisperx[328].text 我覺得我們可能接下來我想這個議題我想會跟環境部去處理很好 我來支持你而且我也提出了一個過去最早我們在回收這些容器 廢容器最早的寶特瓶你知道有壓瓶精吧對你知道以前我們小時候買米酒 啤酒一支可以退一支嘛對你知道現在一支可以退多少嗎
transcript.whisperx[329].start 9119.363
transcript.whisperx[329].end 9148.612
transcript.whisperx[329].text 米酒啊 一支退市兩口 五口 四口那你有沒有看到人家啤酒瓶亂丟嗎沒有 因為都被回收了嘛所以請你往這個方向來思考一下好不好那另外一個很小的事因為時間到了那拜託你指示一下徐牧師我們這個黑豬的退場或者規模轉黑豬轉化退場或者規模的縮減那個母豬的部分的退場的機制有沒有演繹出來了簡單講就好我們應該有演繹吧
transcript.whisperx[330].start 9149.372
transcript.whisperx[330].end 9166.507
transcript.whisperx[330].text 我們應該有原意可不可以來找個時間來跟我報告一下因為我現在在1月中可以完成因為我記得那個委員特別提到母豬本身有沒有它跟肉豬是不一樣的所以我那時候就有一個規劃針對這個母豬的這些退場的部分而且我記得我也抱怨了啦
transcript.whisperx[331].start 9167.268
transcript.whisperx[331].end 9187.463
transcript.whisperx[331].text 是 不好意思我用抱怨的方式好了我們抱怨才有經費你們是抱行政院 我以為你說我在抱怨不是 不是抱行政院因為它需要一些經費1月中可以啟動嗎應該可以加油一下好不好我們屏東的農民非常需要農藥廢棄容器的部分在找時間請次長或者我們的房間署是哪個部門負責的
transcript.whisperx[332].start 9188.854
transcript.whisperx[332].end 9213.209
transcript.whisperx[332].text 農藥廢棄農藥是房間署房間署嗎請他們一起來好不好謝謝部長謝謝中加兵委員的質詢謝謝部長謝謝我們請羅明財羅明財羅明財委員不在林倩琦林倩琦林倩琦委員不在林楚瑩林楚瑩林楚瑩委員不在賴世寶賴世寶賴世寶委員不在那我們林黛華是提書面質詢那陳瑩委員
transcript.whisperx[333].start 9231.412
transcript.whisperx[333].end 9235.314
transcript.whisperx[333].text 謝謝主席 麻煩請陳部長我們請陳部長部長好 我們來先看一張照片
transcript.whisperx[334].start 9250.045
transcript.whisperx[334].end 9270.76
transcript.whisperx[334].text 這張照片不曉得部長還有沒有印象就是在去年這個楊柳颱風重創台東的農業那本席和部長還有我們卓院長以及莊瑞雄委員到現場去勘栽時的照片那當時受創的不只是農產品而已就連這個農產品的運銷集貨廠也損失慘重而且現場是滿目倉儀
transcript.whisperx[335].start 9277.585
transcript.whisperx[335].end 9279.928
transcript.whisperx[335].text 這個農民團體它是真的很慘因為它的運銷集貨廠還沒有開始營運就遇到颱風就先慘賠了好幾百萬
transcript.whisperx[336].start 9294.31
transcript.whisperx[336].end 9311.306
transcript.whisperx[336].text 我想這樣的情形呢我相信它不是空前也不會是絕後所以因為我特別我的今天這個提案內容其實起源也是有遇到這樣子的案例那當事人也有跟我澄清
transcript.whisperx[337].start 9312.847
transcript.whisperx[337].end 9337.998
transcript.whisperx[337].text 這個農民團體的經營農產品運銷集貨廠本來其實就會遇到很多的困難所以政府都應該要盡可能來協助他們過去的法令會強調說希望農產品運銷集貨廠使用公有土地目的是希望農產品的集貨廠可以比較穩定的經營
transcript.whisperx[338].start 9339.699
transcript.whisperx[338].end 9359.519
transcript.whisperx[338].text 其實現在的這個公有土地的取得其實也是困難重重所以有心經營這個集貨廠的農民團體不論他是用這個公有土地或者私有土地農糧署仍然都會給予相當多的協助不會因為這個土地到底是公有或者私有這樣子沒有錯吧
transcript.whisperx[339].start 9360.745
transcript.whisperx[339].end 9387.945
transcript.whisperx[339].text 好 那我提案修正的这个农产品市场交易法第十条是从这个民国七十年制定之后呢就不曾再修订过了那我的这个提案内容呢是跟这个农粮署讨论很多次的结果希望未来不论农产品运销集货场地的用地不管它是公有或者私有都可以享有政府税制上的优惠那我要请教部长就是不知道您的看法如何
transcript.whisperx[340].start 9388.707
transcript.whisperx[340].end 9417.384
transcript.whisperx[340].text 我想第一個基本上我們同意就是說只要是共同運銷的場所它都是協助我們把農產品進到消費市場的最後一里路所以後續的這些適容它的農地它地面適容農地所以它的房屋稅房屋稅是可以減半但是地價稅的部分應該也可以減半但是剛才好像財政部有特別提到其實地價稅本來就可以
transcript.whisperx[341].start 9418.57
transcript.whisperx[341].end 9446.182
transcript.whisperx[341].text 就是免地價稅的嘛不過看起來我們討論很久在這個案例它並沒有它沒有辦法被解決啊沒有所以我們這次修法就可以處理了就把它處理了就把它全處理了好 謝謝那好這個時間也到了我快速問一下部長你知道這個原住民的平均餘命是多少嗎應該是82年多歲吧
transcript.whisperx[342].start 9446.813
transcript.whisperx[342].end 9474.74
transcript.whisperx[342].text 我想我不知道是你的幕僚给你提供82.7我们的原住民平均我们没有那么长寿我们平均余命是55没有我讲82.7是我们是针对从事农业的原住民他0老农今天我的问题是原住民的平均余命如果说整体的平均余命我大概没有掌握而且部长你讲的应该是这个平均死亡年龄
transcript.whisperx[343].start 9476.707
transcript.whisperx[343].end 9495.789
transcript.whisperx[343].text 不是平均余命这个部分这几个数字我想部长应该要先就是也是需要先弄清楚抱歉我更正一下原住民的平均余命不是55我是说我们的这个老人的定义在原住民那边会被定为55岁那原住民的平均
transcript.whisperx[344].start 9496.75
transcript.whisperx[344].end 9511.848
transcript.whisperx[344].text 余命也没有到那么高那这个其实我们努力了很多年它都有将近十岁的差距虽然近年有缩短一点点但是呢它还是有将近十岁的差距这个部分
transcript.whisperx[345].start 9513.25
transcript.whisperx[345].end 9533.349
transcript.whisperx[345].text 我想這個要請你們幕僚跟部長重新做一下功課那因為我要強調就是說平均死亡年齡跟平均餘命是完全不一樣的統計數據而且這個平均餘命沒有針對農民的統計因為有一些媒體引用部長備詢的時候說的內容所以我覺得有必要在這邊跟部長
transcript.whisperx[346].start 9534.409
transcript.whisperx[346].end 9563.369
transcript.whisperx[346].text 詳細說明因為這個會影響到我們這個老農今天就是說上次上次我希望就是說老農今天針對原住民的年齡要下修到55歲的時候部長的回答跟實際上是落差是很大的所以就算要比較這個平均死亡年齡也應該以原住民的農民的平均死亡年齡跟全體的農民的平均死亡年齡來做比較所以這個部分我希望部長你們重新再
transcript.whisperx[347].start 9564.277
transcript.whisperx[347].end 9564.297
transcript.whisperx[347].text
transcript.whisperx[348].start 9565.979
transcript.whisperx[348].end 9593.832
transcript.whisperx[348].text 了解一下實際的這個數據是怎麼樣不能說拿這個原住民的農民的平均死亡年齡的數據跟全體國民的平均餘命來做比較這樣的基礎是完全不對的那這個也是我們原住民的全體國人的這個平均餘命的差距也是一個長期沒有辦法改善的問題所以有關這個老農今天原住民下修年齡規定的提案也還是請部長可以重新來評估來支持
transcript.whisperx[349].start 9594.955
transcript.whisperx[349].end 9613.083
transcript.whisperx[349].text 我想謝謝委員提供這樣的一個資訊那我想我們當初在考慮就是農的應該跟農的比那我上次是82.7是跟80.7跟全體在比那你這邊提供的資料我想我們後面會去會去精算一下如果說從農業的部分
transcript.whisperx[350].start 9613.723
transcript.whisperx[350].end 9631.542
transcript.whisperx[350].text 他86.5跟82.7他至少差了大概將近大概大概是3.8嘛3.8歲那我們怎麼樣去設計他是不是可以去降低老農津貼的勤領的年齡啦我覺得這個必須要去做一個精算跟討論
transcript.whisperx[351].start 9633.235
transcript.whisperx[351].end 9647.942
transcript.whisperx[351].text 對 再麻煩你們再重新研議好 謝謝謝謝陳委員的資訊謝謝 謝謝部長我想是不是那個我們賴委員因為我們待會還有協商就對三分鐘 把握時間部長 對謝謝主席就請那個工業部的陳部長
transcript.whisperx[352].start 9658.675
transcript.whisperx[352].end 9686.272
transcript.whisperx[352].text 委員好非常感謝主席因為剛跳過去讓我又可以回來非常感謝我想我關心的就是台美的關稅談判外界一直關心美國是不是要求我們農產品全面的零關稅那麼美國農產品全面進來有沒有這件事情不過我想相關的這些談判過程中我們都有
transcript.whisperx[353].start 9687.554
transcript.whisperx[353].end 9694.389
transcript.whisperx[353].text 觸及到所謂的市場開放那市場開放並沒有說百分之百全部零關稅這件事情是
transcript.whisperx[354].start 9696.102
transcript.whisperx[354].end 9716.216
transcript.whisperx[354].text 現在我把它整理了一下這也是很多的專家整理了其實我們全部讓美國的農產品進來不是說要不要吃美國貨而是價格能不能來打個過農民撐不撐得住選票會不會出事看這裡面敏感度來講對台灣農業的衝擊豬肉
transcript.whisperx[355].start 9720.379
transcript.whisperx[355].end 9741.121
transcript.whisperx[355].text 五顆星很嚴重政治敏感度也非常高雞肉四顆星玉米四顆星 三顆星稻米最值得你看他對台灣農業的衝擊一顆星而已不大可是政治敏感度五顆星對於你這個表你基本上同意吧
transcript.whisperx[356].start 9742.342
transcript.whisperx[356].end 9763.221
transcript.whisperx[356].text 我覺得基本上這個表有點問題因為第一個部分 我講玉米就好玉米本身零關稅 現在就零關稅了它進來以後當作飼料用可以降低我們的飼料成本所以玉米沒有問題 零關稅沒問題大豆沒問題本來就零關稅的 大豆本來也零關稅的大豆也是零關稅的嗎
transcript.whisperx[357].start 9764.002
transcript.whisperx[357].end 9791.994
transcript.whisperx[357].text 然後你說稻米稻米對農業的衝擊低這個如果開放的時候對農業的衝擊才高勒因為我們有22萬戶的農民都是這個所以這個表的衝擊這個表有問題農業衝擊是有一些問題的這個表我告訴你這個表不是我編的這個表是這個表是AI切GDP編的切GDP我就問他他是給我這樣子的答案所以他是亂寫
transcript.whisperx[358].start 9793.464
transcript.whisperx[358].end 9808.701
transcript.whisperx[358].text 他整理了很多專家的結果咧我覺得這個是不正確的啦不能隨便用這個GPD隨便寫寫就對了好 那我就問你喔我們是不是最後可以選擇性的零關稅加配套的保護是不是可以這樣
transcript.whisperx[359].start 9811.283
transcript.whisperx[359].end 9835.299
transcript.whisperx[359].text 選擇性的零關稅加配套的部分部分零關稅部分保護我想我們農業部在談判的過程中一定是要最底線就是確保我們的農民的收益然後保護我們的產業的競爭力在這個情況之下有一部分是可以零關稅有一部分是我們希望你可以再公開的講一遍我記得你以前講過了
transcript.whisperx[360].start 9836.48
transcript.whisperx[360].end 9847.286
transcript.whisperx[360].text 你絕對反對全面零關稅讓農產品進來我絕對反對 而且我們在歷史的談判中也不會全面的零關稅好 謝謝 我就你這句話 謝謝謝謝賴司保委員之訊登記發言的 謝謝
transcript.whisperx[361].start 9853.849
transcript.whisperx[361].end 9874.504
transcript.whisperx[361].text 登记发言的委员除不在场外其余均已发言完毕 询答结束委员林黛华所提书面咨询列入记录刊登公报书面咨询及未及答复部分请相关单位于一周内以书面答复并赴资本会委员另有要求期限者从期锁定
transcript.whisperx[362].start 9877.727
transcript.whisperx[362].end 9884.941
transcript.whisperx[362].text 我们现在讨论事项锁裂三案和并寻查结束现在进行主条讨论
transcript.whisperx[363].start 9886.465
transcript.whisperx[363].end 9892.389
transcript.whisperx[363].text 那請議事人員宣讀所有條文若有修正動議及附帶決議請一併宣讀宣讀完畢後再進行協商請宣讀
transcript.whisperx[364].start 9916.945
transcript.whisperx[364].end 9944.15
transcript.whisperx[364].text 得继续依其原核准进驻之资格条件进驻园区不受前条规定条件之限制前项原核准进驻之园区事业属自然人或独资商号者应该自然人或独资商号之负责人发生继承事实或赠予配偶或直系写清二清等内被清除而改由其继承人或受赠人申请进驻园区时亦不受前条规定条件之限制
transcript.whisperx[365].start 9945.529
transcript.whisperx[365].end 9971.715
transcript.whisperx[365].text 委員陳廷飛等人所提修正動議第15條之一地方農業科技園區於本條文修正施行前經主管機關1第5條規定報經行政院核定納入為主管機關管理之園區者其於納入管理前原核准進駐之園區事業得繼續依其原核准進駐之資格條件進駐園區不受前條鎖定園區事業組織型態規定之限制
transcript.whisperx[366].start 9976.192
transcript.whisperx[366].end 10002.36
transcript.whisperx[366].text 前項原核准進駐之園區事業屬自然人或獨資商號者應該自然人或獨資商號之負責人發生繼承事實或贈與配偶或直系血親二親等內卑親屬由繼承人或受贈人申請進駐園區時亦不受前條鎖定園區事業組織形態規定之限制前項申請進駐園區之繼承人或受贈人
transcript.whisperx[367].start 10003.444
transcript.whisperx[367].end 10025.027
transcript.whisperx[367].text 因以一人為限 第一項原核准進駐原區事業屬自然人或獨資商號於原區納入管理後至本條文修正施行前有第二項規定之繼承事實或贈予行為者亦得適用前二項規定提案人陳亭飛 賴瑞榮 邱益穎
transcript.whisperx[368].start 10026.314
transcript.whisperx[368].end 10054.85
transcript.whisperx[368].text 委員李博義等16人提案植物品種及種苗法第53條之一增訂第三項犯第一項之罪且將其行為傳播宣傳有使他人效仿違法行為質疑者得加重其刑制二分之一其餘同現行條文農產品市場交易法委員陳廷飛等16人提案第6條農產品之交易不得壟斷操縱價格或故意變更質量
transcript.whisperx[369].start 10056.124
transcript.whisperx[369].end 10082.987
transcript.whisperx[369].text 对市场交易秩序或行为造成危害任何人不得故意散播影响农产品交易价格市场交易秩序或行为之谣言或不实讯息委员陈寅等16人提案第10条农民团体共同运销之及货场所需用之土地适同农业用地前项用地应专供农产品共同运销及货场使用其房屋税及地价税减半征收
transcript.whisperx[370].start 10084.605
transcript.whisperx[370].end 10097.039
transcript.whisperx[370].text 委員邱益穎等二十人提案第十五條農產品批發市場所需用之公有土地政府應優先出租依公告限制讓售貨以其他合作開發方式取得之
transcript.whisperx[371].start 10098.57
transcript.whisperx[371].end 10117.904
transcript.whisperx[371].text 所需用私有土地由直轄市縣市主管機關得協助洽購租用或依法申請徵收並得使用依法編定之農業用地其屬國營事業機構所有之土地得經主管機關核准後以租用合作開發或以其他合作方式取得之
transcript.whisperx[372].start 10119.417
transcript.whisperx[372].end 10133.061
transcript.whisperx[372].text 前項用地非金主管機關許可不得變更使用並應專攻農產品批發市場設置及營運使用委員陳亭飛等16人提案第35條違反第6條第1項第14條第1項規定者處薪台幣30萬元以上
transcript.whisperx[373].start 10139.082
transcript.whisperx[373].end 10149.746
transcript.whisperx[373].text 3000萬元以下罰還其領有許可證者並廢止許可證違反第6條第二項規定足深損害農產品運銷秩序者處新台幣30萬元以上3000萬元以下罰還
transcript.whisperx[374].start 10153.086
transcript.whisperx[374].end 10182.009
transcript.whisperx[374].text 委員陳亭飛等人所提修正動議第35條違反第14條第一項規定者儲新台幣30萬元以上3000萬元以下罰還其領有許可證者並廢止許可證違反第6條第一項規定者儲新台幣6萬元以上30萬元以下罰還其領有許可證者並廢止許可證違反第6條第二項規定足深損害農產品運銷秩序者儲新台幣6萬元以上
transcript.whisperx[375].start 10183.521
transcript.whisperx[375].end 10205.169
transcript.whisperx[375].text 30萬元以下罰還 提案人陳廷飛 賴瑞榮 邱志偉 宣讀完畢那個要不要了解一下那個邱委員 邱志偉委員在路上了嗎 在來委員會的路上了嗎
transcript.whisperx[376].start 10213.717
transcript.whisperx[376].end 10231.958
transcript.whisperx[376].text OK了吗好 来了好 那我们就不用休息了那我们现在协商讨论事项第一案农业科技园区设置管理条例增订第15条之一条文草案先请农业部说明
transcript.whisperx[377].start 10233.001
transcript.whisperx[377].end 10261.122
transcript.whisperx[377].text 好有關於那個修正條的討論那陳庭惠委員有提了一個修正動議的部分那這個修正動議我們覺得是支持的所以是不是可以建議就是依那個陳庭惠委員的修正動議來通過好那我們第15條之一修正第15條之一是不是依照修正動議來通過好那我們請宣讀一下第15條之一
transcript.whisperx[378].start 10262.216
transcript.whisperx[378].end 10290.027
transcript.whisperx[378].text 第一項地方農業科技園區於本條文修正實行前經主管機關依第五條規定報經行政院核定納入為主管機關管理之園區者其於納入管理前原核准進駐之園區事業得繼續依其原核准進駐之資格條件進駐園區不受前條鎖定園區事業組織形態規定之限制 第二項除莫具修正文亦不受前條鎖定園區事業組織形態規定之限制外 區域均同
transcript.whisperx[379].start 10291.906
transcript.whisperx[379].end 10311.775
transcript.whisperx[379].text 金融委員陳廷飛等16人提案第3項及第4項前項申請進駐園區之繼承人或受贈人應以一人為限第1項原核准進駐之園區事業署自然人或獨資商號與園區納入管理後至本條維修正施行前有第2項規定之繼承事實或正義行為者立得適用前2項規定宣傳完畢
transcript.whisperx[380].start 10313.414
transcript.whisperx[380].end 10325.603
transcript.whisperx[380].text 因為我們今天我們的條文都不一樣所以我們要一條一條來宣讀所以請問各位同仁依照剛剛宣讀的寫商結論通過請問有異議
transcript.whisperx[381].start 10328.806
transcript.whisperx[381].end 10342.824
transcript.whisperx[381].text 那通过那讨论事项第一案农业科技园区设置管理条例增订第15条之一条文草案领据审查报告提报愿为讨论请问需不需要交友党团协商
transcript.whisperx[382].start 10344.265
transcript.whisperx[382].end 10361.804
transcript.whisperx[382].text 不需要交由党团协商那院会讨论的时候有本席说明谢谢那我们现在讨论这个第二案植物品种及种苗法第53条之一条为修正草案请农业部先说明
transcript.whisperx[383].start 10362.734
transcript.whisperx[383].end 10383.515
transcript.whisperx[383].text 有關於第53條之一那個李博義委員所提的案子本身他特別提到犯第一項的罪行有加重其刑責之二分之一那農業部是建議是維持現行的版本那理由有一個非常重要的就是當他
transcript.whisperx[384].start 10385.397
transcript.whisperx[384].end 10414.397
transcript.whisperx[384].text 違反了這個規定以後依據相關的刑法57條的規定他如果發生這種犯罪的損害而且還有他的犯罪的態度已經可以直接加重其刑的這個規定了已經有這個規定了然後第二個部分是那個李博議委員裡面提到的使公眾仿效之餘的部分那因為使公眾仿效這個部分在實務上他比較難判斷也不明確所以我們建議說
transcript.whisperx[385].start 10416.138
transcript.whisperx[385].end 10442.497
transcript.whisperx[385].text 这一条不用加的时候在现有的条文也可以处理加重其行所以我们建议是维持原来的条文好那个因为我们这个案子提案的委员没有在现场所以呢我们就把这个案子我们另期再处理所以讨论事项第二案植物品种及种苗法第53条之一条文修正草案另定期再继续处理
transcript.whisperx[386].start 10444.219
transcript.whisperx[386].end 10453.132
transcript.whisperx[386].text 來我們進行第三案我們現在協商討論事項第三案農產品市場交易法部分條文修正草案請農業部說明
transcript.whisperx[387].start 10455.031
transcript.whisperx[387].end 10481.462
transcript.whisperx[387].text 好那第六條的部分那個委員那個陳錦惠委員所提到的就是修正第一項跟第二項那其中在第一項的部分增加了對沒有他就是把這個牟取不正當的利益劃掉然後增加了對市場交易次序或行為造成危害那第二項的部分也增加了市場交易次序或行為的部分
transcript.whisperx[388].start 10482.122
transcript.whisperx[388].end 10505.078
transcript.whisperx[388].text 那農業部認為我們基本上支持陳田惠委員的一個提案但是在原來的條文裡面有一個謀取不正當利益那這個應該把它留下來因為它是非常明確的一個證據可以去處罰那第二個部分就是委員所提到的市場交易次序或行為我們建議是說或行為可以拿掉因為
transcript.whisperx[389].start 10505.939
transcript.whisperx[389].end 10532.09
transcript.whisperx[389].text 因為已經對市場教育次序已經有在處理的時候那行為只是對這個次序的一個過程所以其實在處理這個對市場教育次序的時候就其實已經同步了已經在處理行為所以或行為可以拿掉我想我們第6條就修正通過就我尊重農業部的意見那我們就修正通過那第4條
transcript.whisperx[390].start 10534.52
transcript.whisperx[390].end 10546.056
transcript.whisperx[390].text 那第10條的部分是有關於這個那個農民團體的運銷的集貨地的部分那陳委員跟莊瑞雄委員所提案的部分就是更明確的將這個前項應專攻農產品共同運銷
transcript.whisperx[391].start 10550.923
transcript.whisperx[391].end 10578.617
transcript.whisperx[391].text 常使用 場域使用其房屋稅及地下稅減半徵收那基本上農業部是支持的但是剛才那個財政部有提到就是說其實地價稅可以不用寫因為地價稅本來就免稅的所以不用寫 只要寫其房屋稅減半徵收那我們也徵得了陳穎委員的同意好那我們就照我們農業部的修正版本通過那第15條
transcript.whisperx[392].start 10580.475
transcript.whisperx[392].end 10599.949
transcript.whisperx[392].text 那第15條的部分是由邱毅英委員跟林儲英委員等20個人的提案他修正的是第一項跟第二項那基本上我們農業部也是以支持的方式但是在法治的體力上面來講我們最主要就是針對私有地的部分因為私有地
transcript.whisperx[393].start 10601.369
transcript.whisperx[393].end 10625.358
transcript.whisperx[393].text 除了國營事業以外還有一般的私有地那國營事業的土地的部分的租用我們覺得可以納入啦那一般人民的私有地的話就很難由政府去介入這個租用的部分所以我們重新修改了這個我們農業部的一個建議版本那我們希望說是由農業部的建議版本來文字通過
transcript.whisperx[394].start 10628.647
transcript.whisperx[394].end 10651.218
transcript.whisperx[394].text 部長可不可以請農業部把你們修改的文字版本再唸一次好不好還是可以秀在那個powerpoint上面嗎委員印給在場的一個委員我們秀一下那個網頁我就繼續唸委員第一項的部分等一下等一下是不是沒有在桌上嗎你們沒有印嗎
transcript.whisperx[395].start 10652.694
transcript.whisperx[395].end 10668.402
transcript.whisperx[395].text 有嗎沒有啦他是在他的那個口頭報告的那個書面裡頭啦但是你們沒有另外印成單張讓大家有一個單張的嗎來他有一個單張的因為我因為你這個我們要留成正式的會議記錄我建議農業部還是要印成單張讓我們對啊
transcript.whisperx[396].start 10673.285
transcript.whisperx[396].end 10679.509
transcript.whisperx[396].text 我們給提案委員先看一下沒有印的就補印給所有的委員你們是不是把它念過一次好不好現在可以念了嗎
transcript.whisperx[397].start 10696.345
transcript.whisperx[397].end 10723.526
transcript.whisperx[397].text OK第一項的部分農產品批發市場所需用之公用土地政府應優先出租依公告限值讓售或以其他合作方式提供所需用私有土地由直轄市縣市主管機關協助洽購依法申請徵收租用或以其他合作方式取得並得使用依法編遞之農業用地
transcript.whisperx[398].start 10725.467
transcript.whisperx[398].end 10750.658
transcript.whisperx[398].text 第二項前項租用或以其他合作方式取得之私有土地以國營事業土地為限且應經中央主管機關核准其使用期限不得少於20年第三項第一項用地應專攻農產品批發市場設置及經營使用非經主管機關許可不得變更使用以上
transcript.whisperx[399].start 10755.444
transcript.whisperx[399].end 10769.235
transcript.whisperx[399].text 公用啊公用啊公有公有來我們議員委員不好意思第一項的部分前半段農產品批發市場所需用之公有土地那再做個澄清來議員
transcript.whisperx[400].start 10778.194
transcript.whisperx[400].end 10793.485
transcript.whisperx[400].text 基本上我是沒什麼意見OK嗎這個部分基本上是跟邱議員委員的版本意思是一致的只是在寫法上面來講我們的第一段的部分是先界定
transcript.whisperx[401].start 10795.386
transcript.whisperx[401].end 10822.017
transcript.whisperx[401].text 公有的跟私有的部分的一個處理方式然後再來就是講前面的私有的部分只限於國營事業一般私人的土地我們沒辦法去強迫說他要去租用然後最後一個是我們一定鎖定他只能做批發市場的設置跟經營然後沒有經過中央主管機關同意不得變更我們怕申請完了以後馬上做變更就比較麻煩
transcript.whisperx[402].start 10822.779
transcript.whisperx[402].end 10828.912
transcript.whisperx[402].text OK好來我們第15條就是修正通過那第35條
transcript.whisperx[403].start 10830.862
transcript.whisperx[403].end 10857.798
transcript.whisperx[403].text 好 第35條的部分是針對違反相關規定的一個處罰的划環那陳廷輝委員本來的提案有把它提高到3000萬的部分但是後來陳廷輝委員有提了一個修正動議那我們覺得這個修正動議農業部是支持的所以是不是可以依照陳廷輝委員的版本的修正動議來通過好 那第35條我們就依陳廷輝委員修正動議的版本通過
transcript.whisperx[404].start 10859.66
transcript.whisperx[404].end 10881.012
transcript.whisperx[404].text 來 我們宣讀協商結論宣讀協商結論 農產品市場交易法部分條文修正草案第6條修正通過第10條修正通過第15條修正通過第35條 趙委員陳亭飛等三人所提修正同意通過 宣讀完畢請問各位同仁依照剛剛宣讀的協商結論通過請問有異議來 鄭天才委員
transcript.whisperx[405].start 10885.779
transcript.whisperx[405].end 10910.772
transcript.whisperx[405].text 不好意思 我再請教一下那個第10條第10條如果按照剛才先讀的部分就是現行的條文有提到這個農民團體共同運銷之其後場首需用之土地適同農業用地這邊沒有問題就是現在修正之後就少了這個適用第15條規定還在嗎
transcript.whisperx[406].start 10913.616
transcript.whisperx[406].end 10930.428
transcript.whisperx[406].text 還在 不在了對所以這個部分有沒有影響不會 我跟委員報告因為第15條規定裡面它相關的就是有包括公有土地私有土地政府單位要去做協助因為等一下下個台灣會有
transcript.whisperx[407].start 10930.948
transcript.whisperx[407].end 10959.162
transcript.whisperx[407].text 那相對的我們這一條最主要是解決那個地價稅沒有那個房屋稅的減免這一條的精神就是在處理那個房屋稅的減免所以你如果這邊適用第15條的規定的話那又會卡住了原來15條的部分有沒有針對這些政府單位的這些公有的或私有土地我們要去協助但是我們在協助的時候只處理批發市場不處理農民團體
transcript.whisperx[408].start 10960.743
transcript.whisperx[408].end 10980.793
transcript.whisperx[408].text 所以你一旦寫適用的時候反而是所有的農民團體的這些集貨廠政府都要來協助那以現在實務來講農民團體的這些集貨廠它是由自己來做處理我們只處理批發市場好 我只是提醒因為第10條是針對集貨廠然後第15條是針對批發市場
transcript.whisperx[409].start 10989.591
transcript.whisperx[409].end 11005.378
transcript.whisperx[409].text 然後這個集貨廠原來的第10條 現行的條文的第10條他集貨廠也可以適用15條原來是規定的他是讓他更寬現在你現在刪掉的話不過我只是提醒
transcript.whisperx[410].start 11009.318
transcript.whisperx[410].end 11032.743
transcript.whisperx[410].text 跟委員報告當初試用15條的時候有一些困難因為15條是批發市場所以批發市場所用的土地必須是讓他自己所有所以就算是私有土地他是不能用陳租私有土地依照現行的15條是不行的所以現在我們把它刪掉讓那個集貨廠他就可以去租用私人土地只要他來做
transcript.whisperx[411].start 11033.823
transcript.whisperx[411].end 11056.002
transcript.whisperx[411].text 那個集貨廠使用就可以免然後房屋稅就可以減半所以它是整個放寬它的限制好 OK那我們討論事項第三案農產品市場交易法部分條文修正草案並按您據審查報告提報院會討論需不需要交由黨團協商
transcript.whisperx[412].start 11058.621
transcript.whisperx[412].end 11076.307
transcript.whisperx[412].text 不用那不需交由黨團協商院會討論時有本席說明那審查通過的條文相關法制用語授權主席及議事人員整理本日所列議程處理完據現在散會謝謝委員那我們現在準備我們協商我們的農退儲金
transcript.whisperx[413].start 11096.01
transcript.whisperx[413].end 11108.164
transcript.whisperx[413].text 對 換場換場對對對對我們休息我們先休息五分鐘換場一下喔喔 好
transcript.whisperx[414].start 11147.117
transcript.whisperx[414].end 11147.157
transcript.whisperx[414].text 謝謝大家