iVOD / 17040

Field Value
IVOD_ID 17040
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17040
日期 2025-11-17
會議資料.會議代碼 委員會-11-4-36-8
會議資料.會議代碼:str 第11屆第4會期司法及法制委員會第8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 8
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第4會期司法及法制委員會第8次全體委員會議
影片種類 Full
開始時間 2025-11-17T08:39:04+08:00
結束時間 2025-11-17T12:00:00+08:00
影片長度 03:20:56
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8d241381c4f8c7fcac4602610d545ba2a56f209de17c697c914d0d15f34b2c02d34efce90de88be25ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-11-17T09:00:00+08:00
會議名稱 立法院第11屆第4會期司法及法制委員會第8次全體委員會議(事由:邀請法務部部長、法務部調查局局長、經濟部部長、財政部部長、交通部部長、行政院公共工程委員會主任委員、環境部、法務部廉政署、台灣中油股份有限公司董事長、台灣電力股份有限公司董事長等就「中油三接浮報工程款爭議及近年來國營事業貪瀆案件查處成效」進行專題報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:39:04 - 12:00:00
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1403.92971875
transcript.pyannote[0].end 1408.21596875
transcript.pyannote[1].speaker SPEAKER_06
transcript.pyannote[1].start 1408.48596875
transcript.pyannote[1].end 1414.25721875
transcript.pyannote[2].speaker SPEAKER_12
transcript.pyannote[2].start 1414.84784375
transcript.pyannote[2].end 1449.00284375
transcript.pyannote[3].speaker SPEAKER_12
transcript.pyannote[3].start 1449.49221875
transcript.pyannote[3].end 1465.38846875
transcript.pyannote[4].speaker SPEAKER_06
transcript.pyannote[4].start 1469.10096875
transcript.pyannote[4].end 1481.08221875
transcript.pyannote[5].speaker SPEAKER_06
transcript.pyannote[5].start 1482.17909375
transcript.pyannote[5].end 1488.03471875
transcript.pyannote[6].speaker SPEAKER_06
transcript.pyannote[6].start 1488.33846875
transcript.pyannote[6].end 1493.62034375
transcript.pyannote[7].speaker SPEAKER_06
transcript.pyannote[7].start 1494.21096875
transcript.pyannote[7].end 1497.36659375
transcript.pyannote[8].speaker SPEAKER_06
transcript.pyannote[8].start 1499.03721875
transcript.pyannote[8].end 1501.93971875
transcript.pyannote[9].speaker SPEAKER_06
transcript.pyannote[9].start 1503.37409375
transcript.pyannote[9].end 1505.82096875
transcript.pyannote[10].speaker SPEAKER_06
transcript.pyannote[10].start 1506.34409375
transcript.pyannote[10].end 1507.20471875
transcript.pyannote[11].speaker SPEAKER_06
transcript.pyannote[11].start 1507.87971875
transcript.pyannote[11].end 1510.86659375
transcript.pyannote[12].speaker SPEAKER_06
transcript.pyannote[12].start 1511.38971875
transcript.pyannote[12].end 1513.83659375
transcript.pyannote[13].speaker SPEAKER_06
transcript.pyannote[13].start 1515.82784375
transcript.pyannote[13].end 1518.05534375
transcript.pyannote[14].speaker SPEAKER_06
transcript.pyannote[14].start 1519.65846875
transcript.pyannote[14].end 1526.35784375
transcript.pyannote[15].speaker SPEAKER_06
transcript.pyannote[15].start 1526.64471875
transcript.pyannote[15].end 1527.35346875
transcript.pyannote[16].speaker SPEAKER_06
transcript.pyannote[16].start 1529.19284375
transcript.pyannote[16].end 1530.96471875
transcript.pyannote[17].speaker SPEAKER_06
transcript.pyannote[17].start 1531.28534375
transcript.pyannote[17].end 1533.22596875
transcript.pyannote[18].speaker SPEAKER_06
transcript.pyannote[18].start 1533.47909375
transcript.pyannote[18].end 1545.37596875
transcript.pyannote[19].speaker SPEAKER_06
transcript.pyannote[19].start 1545.49409375
transcript.pyannote[19].end 1547.62034375
transcript.pyannote[20].speaker SPEAKER_06
transcript.pyannote[20].start 1548.88596875
transcript.pyannote[20].end 1549.32471875
transcript.pyannote[21].speaker SPEAKER_06
transcript.pyannote[21].start 1549.78034375
transcript.pyannote[21].end 1571.76846875
transcript.pyannote[22].speaker SPEAKER_07
transcript.pyannote[22].start 1576.67909375
transcript.pyannote[22].end 1599.64596875
transcript.pyannote[23].speaker SPEAKER_07
transcript.pyannote[23].start 1600.01721875
transcript.pyannote[23].end 1612.16721875
transcript.pyannote[24].speaker SPEAKER_07
transcript.pyannote[24].start 1612.40346875
transcript.pyannote[24].end 1707.24096875
transcript.pyannote[25].speaker SPEAKER_06
transcript.pyannote[25].start 1708.84409375
transcript.pyannote[25].end 1715.83034375
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 1717.55159375
transcript.pyannote[26].end 1720.75784375
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 1722.19221875
transcript.pyannote[27].end 1725.98909375
transcript.pyannote[28].speaker SPEAKER_23
transcript.pyannote[28].start 1732.14846875
transcript.pyannote[28].end 1742.81346875
transcript.pyannote[29].speaker SPEAKER_23
transcript.pyannote[29].start 1743.11721875
transcript.pyannote[29].end 1744.34909375
transcript.pyannote[30].speaker SPEAKER_23
transcript.pyannote[30].start 1744.66971875
transcript.pyannote[30].end 1746.88034375
transcript.pyannote[31].speaker SPEAKER_23
transcript.pyannote[31].start 1747.52159375
transcript.pyannote[31].end 1757.71409375
transcript.pyannote[32].speaker SPEAKER_23
transcript.pyannote[32].start 1758.38909375
transcript.pyannote[32].end 1761.79784375
transcript.pyannote[33].speaker SPEAKER_23
transcript.pyannote[33].start 1762.25346875
transcript.pyannote[33].end 1765.94909375
transcript.pyannote[34].speaker SPEAKER_23
transcript.pyannote[34].start 1766.18534375
transcript.pyannote[34].end 1767.90659375
transcript.pyannote[35].speaker SPEAKER_23
transcript.pyannote[35].start 1768.34534375
transcript.pyannote[35].end 1771.43346875
transcript.pyannote[36].speaker SPEAKER_23
transcript.pyannote[36].start 1771.87221875
transcript.pyannote[36].end 1775.46659375
transcript.pyannote[37].speaker SPEAKER_23
transcript.pyannote[37].start 1775.70284375
transcript.pyannote[37].end 1776.88409375
transcript.pyannote[38].speaker SPEAKER_23
transcript.pyannote[38].start 1777.23846875
transcript.pyannote[38].end 1781.13659375
transcript.pyannote[39].speaker SPEAKER_23
transcript.pyannote[39].start 1781.77784375
transcript.pyannote[39].end 1788.00471875
transcript.pyannote[40].speaker SPEAKER_23
transcript.pyannote[40].start 1788.46034375
transcript.pyannote[40].end 1796.22284375
transcript.pyannote[41].speaker SPEAKER_23
transcript.pyannote[41].start 1796.47596875
transcript.pyannote[41].end 1798.01159375
transcript.pyannote[42].speaker SPEAKER_23
transcript.pyannote[42].start 1798.50096875
transcript.pyannote[42].end 1811.35971875
transcript.pyannote[43].speaker SPEAKER_23
transcript.pyannote[43].start 1812.37221875
transcript.pyannote[43].end 1826.34471875
transcript.pyannote[44].speaker SPEAKER_23
transcript.pyannote[44].start 1827.01971875
transcript.pyannote[44].end 1828.36971875
transcript.pyannote[45].speaker SPEAKER_23
transcript.pyannote[45].start 1828.69034375
transcript.pyannote[45].end 1833.17909375
transcript.pyannote[46].speaker SPEAKER_23
transcript.pyannote[46].start 1833.44909375
transcript.pyannote[46].end 1841.80221875
transcript.pyannote[47].speaker SPEAKER_23
transcript.pyannote[47].start 1842.22409375
transcript.pyannote[47].end 1848.09659375
transcript.pyannote[48].speaker SPEAKER_23
transcript.pyannote[48].start 1848.51846875
transcript.pyannote[48].end 1852.07909375
transcript.pyannote[49].speaker SPEAKER_23
transcript.pyannote[49].start 1852.45034375
transcript.pyannote[49].end 1854.17159375
transcript.pyannote[50].speaker SPEAKER_23
transcript.pyannote[50].start 1854.30659375
transcript.pyannote[50].end 1862.01846875
transcript.pyannote[51].speaker SPEAKER_23
transcript.pyannote[51].start 1862.40659375
transcript.pyannote[51].end 1870.70909375
transcript.pyannote[52].speaker SPEAKER_23
transcript.pyannote[52].start 1871.01284375
transcript.pyannote[52].end 1875.06284375
transcript.pyannote[53].speaker SPEAKER_23
transcript.pyannote[53].start 1875.80534375
transcript.pyannote[53].end 1877.18909375
transcript.pyannote[54].speaker SPEAKER_23
transcript.pyannote[54].start 1877.61096875
transcript.pyannote[54].end 1881.84659375
transcript.pyannote[55].speaker SPEAKER_23
transcript.pyannote[55].start 1882.30221875
transcript.pyannote[55].end 1889.42346875
transcript.pyannote[56].speaker SPEAKER_23
transcript.pyannote[56].start 1889.47409375
transcript.pyannote[56].end 1897.15221875
transcript.pyannote[57].speaker SPEAKER_06
transcript.pyannote[57].start 1899.19409375
transcript.pyannote[57].end 1904.83034375
transcript.pyannote[58].speaker SPEAKER_20
transcript.pyannote[58].start 1911.56346875
transcript.pyannote[58].end 1914.51659375
transcript.pyannote[59].speaker SPEAKER_20
transcript.pyannote[59].start 1914.82034375
transcript.pyannote[59].end 1917.63846875
transcript.pyannote[60].speaker SPEAKER_20
transcript.pyannote[60].start 1917.90846875
transcript.pyannote[60].end 1919.42721875
transcript.pyannote[61].speaker SPEAKER_20
transcript.pyannote[61].start 1920.06846875
transcript.pyannote[61].end 1924.43909375
transcript.pyannote[62].speaker SPEAKER_20
transcript.pyannote[62].start 1924.89471875
transcript.pyannote[62].end 1928.30346875
transcript.pyannote[63].speaker SPEAKER_20
transcript.pyannote[63].start 1929.26534375
transcript.pyannote[63].end 1933.51784375
transcript.pyannote[64].speaker SPEAKER_20
transcript.pyannote[64].start 1933.70346875
transcript.pyannote[64].end 1935.89721875
transcript.pyannote[65].speaker SPEAKER_20
transcript.pyannote[65].start 1936.30221875
transcript.pyannote[65].end 1938.04034375
transcript.pyannote[66].speaker SPEAKER_20
transcript.pyannote[66].start 1938.36096875
transcript.pyannote[66].end 1940.26784375
transcript.pyannote[67].speaker SPEAKER_20
transcript.pyannote[67].start 1940.63909375
transcript.pyannote[67].end 1942.90034375
transcript.pyannote[68].speaker SPEAKER_20
transcript.pyannote[68].start 1943.50784375
transcript.pyannote[68].end 1945.97159375
transcript.pyannote[69].speaker SPEAKER_20
transcript.pyannote[69].start 1946.22471875
transcript.pyannote[69].end 1947.64221875
transcript.pyannote[70].speaker SPEAKER_20
transcript.pyannote[70].start 1947.91221875
transcript.pyannote[70].end 1949.22846875
transcript.pyannote[71].speaker SPEAKER_20
transcript.pyannote[71].start 1949.81909375
transcript.pyannote[71].end 1952.06346875
transcript.pyannote[72].speaker SPEAKER_20
transcript.pyannote[72].start 1952.38409375
transcript.pyannote[72].end 1954.08846875
transcript.pyannote[73].speaker SPEAKER_20
transcript.pyannote[73].start 1954.56096875
transcript.pyannote[73].end 1957.91909375
transcript.pyannote[74].speaker SPEAKER_20
transcript.pyannote[74].start 1958.30721875
transcript.pyannote[74].end 1959.10034375
transcript.pyannote[75].speaker SPEAKER_20
transcript.pyannote[75].start 1959.45471875
transcript.pyannote[75].end 1964.19659375
transcript.pyannote[76].speaker SPEAKER_20
transcript.pyannote[76].start 1964.48346875
transcript.pyannote[76].end 1965.09096875
transcript.pyannote[77].speaker SPEAKER_20
transcript.pyannote[77].start 1965.42846875
transcript.pyannote[77].end 1967.16659375
transcript.pyannote[78].speaker SPEAKER_20
transcript.pyannote[78].start 1967.41971875
transcript.pyannote[78].end 1969.98471875
transcript.pyannote[79].speaker SPEAKER_20
transcript.pyannote[79].start 1970.35596875
transcript.pyannote[79].end 1971.85784375
transcript.pyannote[80].speaker SPEAKER_20
transcript.pyannote[80].start 1971.97596875
transcript.pyannote[80].end 1973.89971875
transcript.pyannote[81].speaker SPEAKER_20
transcript.pyannote[81].start 1974.13596875
transcript.pyannote[81].end 1976.14409375
transcript.pyannote[82].speaker SPEAKER_20
transcript.pyannote[82].start 1976.34659375
transcript.pyannote[82].end 1977.62909375
transcript.pyannote[83].speaker SPEAKER_20
transcript.pyannote[83].start 1977.76409375
transcript.pyannote[83].end 1979.58659375
transcript.pyannote[84].speaker SPEAKER_20
transcript.pyannote[84].start 1980.02534375
transcript.pyannote[84].end 1981.44284375
transcript.pyannote[85].speaker SPEAKER_20
transcript.pyannote[85].start 1981.74659375
transcript.pyannote[85].end 1983.28221875
transcript.pyannote[86].speaker SPEAKER_20
transcript.pyannote[86].start 1983.56909375
transcript.pyannote[86].end 1986.18471875
transcript.pyannote[87].speaker SPEAKER_20
transcript.pyannote[87].start 1986.53909375
transcript.pyannote[87].end 1988.56409375
transcript.pyannote[88].speaker SPEAKER_20
transcript.pyannote[88].start 1988.85096875
transcript.pyannote[88].end 1990.43721875
transcript.pyannote[89].speaker SPEAKER_20
transcript.pyannote[89].start 1990.63971875
transcript.pyannote[89].end 1992.90096875
transcript.pyannote[90].speaker SPEAKER_20
transcript.pyannote[90].start 1993.22159375
transcript.pyannote[90].end 1997.99721875
transcript.pyannote[91].speaker SPEAKER_20
transcript.pyannote[91].start 1998.38534375
transcript.pyannote[91].end 2002.38471875
transcript.pyannote[92].speaker SPEAKER_20
transcript.pyannote[92].start 2002.75596875
transcript.pyannote[92].end 2005.75971875
transcript.pyannote[93].speaker SPEAKER_20
transcript.pyannote[93].start 2006.04659375
transcript.pyannote[93].end 2008.86471875
transcript.pyannote[94].speaker SPEAKER_20
transcript.pyannote[94].start 2009.08409375
transcript.pyannote[94].end 2010.75471875
transcript.pyannote[95].speaker SPEAKER_20
transcript.pyannote[95].start 2010.90659375
transcript.pyannote[95].end 2011.80096875
transcript.pyannote[96].speaker SPEAKER_20
transcript.pyannote[96].start 2012.25659375
transcript.pyannote[96].end 2013.60659375
transcript.pyannote[97].speaker SPEAKER_20
transcript.pyannote[97].start 2013.91034375
transcript.pyannote[97].end 2017.60596875
transcript.pyannote[98].speaker SPEAKER_20
transcript.pyannote[98].start 2017.92659375
transcript.pyannote[98].end 2018.85471875
transcript.pyannote[99].speaker SPEAKER_20
transcript.pyannote[99].start 2019.09096875
transcript.pyannote[99].end 2021.90909375
transcript.pyannote[100].speaker SPEAKER_20
transcript.pyannote[100].start 2022.12846875
transcript.pyannote[100].end 2023.83284375
transcript.pyannote[101].speaker SPEAKER_20
transcript.pyannote[101].start 2024.10284375
transcript.pyannote[101].end 2026.66784375
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 2026.92096875
transcript.pyannote[102].end 2030.71784375
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 2031.13971875
transcript.pyannote[103].end 2037.24846875
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 2037.94034375
transcript.pyannote[104].end 2042.20971875
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 2042.59784375
transcript.pyannote[105].end 2043.10409375
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 2043.44159375
transcript.pyannote[106].end 2045.73659375
transcript.pyannote[107].speaker SPEAKER_20
transcript.pyannote[107].start 2046.14159375
transcript.pyannote[107].end 2046.98534375
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 2047.49159375
transcript.pyannote[108].end 2049.07784375
transcript.pyannote[109].speaker SPEAKER_20
transcript.pyannote[109].start 2049.34784375
transcript.pyannote[109].end 2052.09846875
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 2052.40221875
transcript.pyannote[110].end 2056.31721875
transcript.pyannote[111].speaker SPEAKER_20
transcript.pyannote[111].start 2056.46909375
transcript.pyannote[111].end 2061.32909375
transcript.pyannote[112].speaker SPEAKER_20
transcript.pyannote[112].start 2061.83534375
transcript.pyannote[112].end 2066.56034375
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 2068.09596875
transcript.pyannote[113].end 2082.86159375
transcript.pyannote[114].speaker SPEAKER_10
transcript.pyannote[114].start 2092.17659375
transcript.pyannote[114].end 2093.98221875
transcript.pyannote[115].speaker SPEAKER_10
transcript.pyannote[115].start 2094.23534375
transcript.pyannote[115].end 2095.45034375
transcript.pyannote[116].speaker SPEAKER_10
transcript.pyannote[116].start 2095.70346875
transcript.pyannote[116].end 2097.25596875
transcript.pyannote[117].speaker SPEAKER_10
transcript.pyannote[117].start 2097.52596875
transcript.pyannote[117].end 2100.71534375
transcript.pyannote[118].speaker SPEAKER_10
transcript.pyannote[118].start 2101.18784375
transcript.pyannote[118].end 2104.79909375
transcript.pyannote[119].speaker SPEAKER_10
transcript.pyannote[119].start 2105.05221875
transcript.pyannote[119].end 2106.18284375
transcript.pyannote[120].speaker SPEAKER_10
transcript.pyannote[120].start 2106.65534375
transcript.pyannote[120].end 2110.55346875
transcript.pyannote[121].speaker SPEAKER_10
transcript.pyannote[121].start 2111.09346875
transcript.pyannote[121].end 2114.43471875
transcript.pyannote[122].speaker SPEAKER_10
transcript.pyannote[122].start 2114.72159375
transcript.pyannote[122].end 2117.20221875
transcript.pyannote[123].speaker SPEAKER_10
transcript.pyannote[123].start 2117.94471875
transcript.pyannote[123].end 2136.60846875
transcript.pyannote[124].speaker SPEAKER_10
transcript.pyannote[124].start 2136.89534375
transcript.pyannote[124].end 2154.46221875
transcript.pyannote[125].speaker SPEAKER_10
transcript.pyannote[125].start 2154.71534375
transcript.pyannote[125].end 2159.59221875
transcript.pyannote[126].speaker SPEAKER_10
transcript.pyannote[126].start 2160.16596875
transcript.pyannote[126].end 2171.75909375
transcript.pyannote[127].speaker SPEAKER_10
transcript.pyannote[127].start 2172.06284375
transcript.pyannote[127].end 2173.63221875
transcript.pyannote[128].speaker SPEAKER_10
transcript.pyannote[128].start 2174.39159375
transcript.pyannote[128].end 2178.05346875
transcript.pyannote[129].speaker SPEAKER_10
transcript.pyannote[129].start 2178.37409375
transcript.pyannote[129].end 2183.63909375
transcript.pyannote[130].speaker SPEAKER_10
transcript.pyannote[130].start 2183.68971875
transcript.pyannote[130].end 2187.25034375
transcript.pyannote[131].speaker SPEAKER_10
transcript.pyannote[131].start 2187.60471875
transcript.pyannote[131].end 2200.37909375
transcript.pyannote[132].speaker SPEAKER_10
transcript.pyannote[132].start 2200.85159375
transcript.pyannote[132].end 2202.03284375
transcript.pyannote[133].speaker SPEAKER_10
transcript.pyannote[133].start 2202.52221875
transcript.pyannote[133].end 2208.54659375
transcript.pyannote[134].speaker SPEAKER_10
transcript.pyannote[134].start 2209.05284375
transcript.pyannote[134].end 2217.38909375
transcript.pyannote[135].speaker SPEAKER_10
transcript.pyannote[135].start 2218.30034375
transcript.pyannote[135].end 2238.88784375
transcript.pyannote[136].speaker SPEAKER_10
transcript.pyannote[136].start 2238.92159375
transcript.pyannote[136].end 2249.75534375
transcript.pyannote[137].speaker SPEAKER_10
transcript.pyannote[137].start 2250.16034375
transcript.pyannote[137].end 2257.38284375
transcript.pyannote[138].speaker SPEAKER_10
transcript.pyannote[138].start 2260.23471875
transcript.pyannote[138].end 2260.63971875
transcript.pyannote[139].speaker SPEAKER_10
transcript.pyannote[139].start 2261.06159375
transcript.pyannote[139].end 2275.11846875
transcript.pyannote[140].speaker SPEAKER_10
transcript.pyannote[140].start 2275.59096875
transcript.pyannote[140].end 2280.51846875
transcript.pyannote[141].speaker SPEAKER_10
transcript.pyannote[141].start 2280.78846875
transcript.pyannote[141].end 2291.53784375
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 2292.06096875
transcript.pyannote[142].end 2309.18909375
transcript.pyannote[143].speaker SPEAKER_10
transcript.pyannote[143].start 2309.47596875
transcript.pyannote[143].end 2314.92659375
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 2315.31471875
transcript.pyannote[144].end 2320.84971875
transcript.pyannote[145].speaker SPEAKER_10
transcript.pyannote[145].start 2321.71034375
transcript.pyannote[145].end 2322.04784375
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2322.75659375
transcript.pyannote[146].end 2325.57471875
transcript.pyannote[147].speaker SPEAKER_10
transcript.pyannote[147].start 2325.79409375
transcript.pyannote[147].end 2327.29596875
transcript.pyannote[148].speaker SPEAKER_10
transcript.pyannote[148].start 2327.85284375
transcript.pyannote[148].end 2332.51034375
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 2332.78034375
transcript.pyannote[149].end 2333.30346875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 2334.18096875
transcript.pyannote[150].end 2339.64846875
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 2339.88471875
transcript.pyannote[151].end 2357.04659375
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 2357.31659375
transcript.pyannote[152].end 2359.34159375
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 2359.94909375
transcript.pyannote[153].end 2363.72909375
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 2363.94846875
transcript.pyannote[154].end 2383.59096875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 2384.21534375
transcript.pyannote[155].end 2390.86409375
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 2391.48846875
transcript.pyannote[156].end 2407.18221875
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 2407.95846875
transcript.pyannote[157].end 2424.17534375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 2424.88409375
transcript.pyannote[158].end 2451.29346875
transcript.pyannote[159].speaker SPEAKER_10
transcript.pyannote[159].start 2451.64784375
transcript.pyannote[159].end 2452.50846875
transcript.pyannote[160].speaker SPEAKER_10
transcript.pyannote[160].start 2453.21721875
transcript.pyannote[160].end 2464.25346875
transcript.pyannote[161].speaker SPEAKER_10
transcript.pyannote[161].start 2464.75971875
transcript.pyannote[161].end 2467.76346875
transcript.pyannote[162].speaker SPEAKER_10
transcript.pyannote[162].start 2470.14284375
transcript.pyannote[162].end 2479.49159375
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 2479.79534375
transcript.pyannote[163].end 2491.69221875
transcript.pyannote[164].speaker SPEAKER_10
transcript.pyannote[164].start 2491.91159375
transcript.pyannote[164].end 2499.23534375
transcript.pyannote[165].speaker SPEAKER_10
transcript.pyannote[165].start 2499.65721875
transcript.pyannote[165].end 2504.41596875
transcript.pyannote[166].speaker SPEAKER_10
transcript.pyannote[166].start 2505.04034375
transcript.pyannote[166].end 2512.49909375
transcript.pyannote[167].speaker SPEAKER_10
transcript.pyannote[167].start 2512.85346875
transcript.pyannote[167].end 2518.20284375
transcript.pyannote[168].speaker SPEAKER_10
transcript.pyannote[168].start 2518.47284375
transcript.pyannote[168].end 2542.14846875
transcript.pyannote[169].speaker SPEAKER_06
transcript.pyannote[169].start 2543.73471875
transcript.pyannote[169].end 2547.86909375
transcript.pyannote[170].speaker SPEAKER_11
transcript.pyannote[170].start 2554.50096875
transcript.pyannote[170].end 2571.74721875
transcript.pyannote[171].speaker SPEAKER_11
transcript.pyannote[171].start 2571.84846875
transcript.pyannote[171].end 2577.18096875
transcript.pyannote[172].speaker SPEAKER_11
transcript.pyannote[172].start 2577.63659375
transcript.pyannote[172].end 2597.71784375
transcript.pyannote[173].speaker SPEAKER_11
transcript.pyannote[173].start 2598.00471875
transcript.pyannote[173].end 2633.57721875
transcript.pyannote[174].speaker SPEAKER_11
transcript.pyannote[174].start 2633.98221875
transcript.pyannote[174].end 2637.59346875
transcript.pyannote[175].speaker SPEAKER_11
transcript.pyannote[175].start 2637.86346875
transcript.pyannote[175].end 2650.35096875
transcript.pyannote[176].speaker SPEAKER_11
transcript.pyannote[176].start 2650.65471875
transcript.pyannote[176].end 2662.99034375
transcript.pyannote[177].speaker SPEAKER_11
transcript.pyannote[177].start 2663.68221875
transcript.pyannote[177].end 2669.58846875
transcript.pyannote[178].speaker SPEAKER_11
transcript.pyannote[178].start 2671.76534375
transcript.pyannote[178].end 2682.07596875
transcript.pyannote[179].speaker SPEAKER_11
transcript.pyannote[179].start 2682.49784375
transcript.pyannote[179].end 2685.70409375
transcript.pyannote[180].speaker SPEAKER_11
transcript.pyannote[180].start 2686.02471875
transcript.pyannote[180].end 2689.36596875
transcript.pyannote[181].speaker SPEAKER_11
transcript.pyannote[181].start 2690.56409375
transcript.pyannote[181].end 2695.74471875
transcript.pyannote[182].speaker SPEAKER_11
transcript.pyannote[182].start 2696.01471875
transcript.pyannote[182].end 2712.46784375
transcript.pyannote[183].speaker SPEAKER_11
transcript.pyannote[183].start 2713.02471875
transcript.pyannote[183].end 2720.85471875
transcript.pyannote[184].speaker SPEAKER_11
transcript.pyannote[184].start 2721.73221875
transcript.pyannote[184].end 2736.43034375
transcript.pyannote[185].speaker SPEAKER_06
transcript.pyannote[185].start 2738.25284375
transcript.pyannote[185].end 2757.08534375
transcript.pyannote[186].speaker SPEAKER_08
transcript.pyannote[186].start 2770.04534375
transcript.pyannote[186].end 2775.10784375
transcript.pyannote[187].speaker SPEAKER_07
transcript.pyannote[187].start 2779.10721875
transcript.pyannote[187].end 2779.93409375
transcript.pyannote[188].speaker SPEAKER_08
transcript.pyannote[188].start 2784.08534375
transcript.pyannote[188].end 2793.88971875
transcript.pyannote[189].speaker SPEAKER_10
transcript.pyannote[189].start 2794.95284375
transcript.pyannote[189].end 2798.14221875
transcript.pyannote[190].speaker SPEAKER_09
transcript.pyannote[190].start 2798.46284375
transcript.pyannote[190].end 2802.00659375
transcript.pyannote[191].speaker SPEAKER_10
transcript.pyannote[191].start 2799.89721875
transcript.pyannote[191].end 2800.79159375
transcript.pyannote[192].speaker SPEAKER_10
transcript.pyannote[192].start 2802.19221875
transcript.pyannote[192].end 2804.35221875
transcript.pyannote[193].speaker SPEAKER_09
transcript.pyannote[193].start 2804.55471875
transcript.pyannote[193].end 2810.88284375
transcript.pyannote[194].speaker SPEAKER_09
transcript.pyannote[194].start 2811.23721875
transcript.pyannote[194].end 2830.86284375
transcript.pyannote[195].speaker SPEAKER_09
transcript.pyannote[195].start 2831.40284375
transcript.pyannote[195].end 2836.51596875
transcript.pyannote[196].speaker SPEAKER_09
transcript.pyannote[196].start 2837.41034375
transcript.pyannote[196].end 2839.55346875
transcript.pyannote[197].speaker SPEAKER_09
transcript.pyannote[197].start 2840.51534375
transcript.pyannote[197].end 2843.13096875
transcript.pyannote[198].speaker SPEAKER_09
transcript.pyannote[198].start 2843.38409375
transcript.pyannote[198].end 2847.28221875
transcript.pyannote[199].speaker SPEAKER_09
transcript.pyannote[199].start 2847.88971875
transcript.pyannote[199].end 2865.79409375
transcript.pyannote[200].speaker SPEAKER_09
transcript.pyannote[200].start 2866.28346875
transcript.pyannote[200].end 2867.34659375
transcript.pyannote[201].speaker SPEAKER_09
transcript.pyannote[201].start 2868.84846875
transcript.pyannote[201].end 2871.19409375
transcript.pyannote[202].speaker SPEAKER_09
transcript.pyannote[202].start 2872.13909375
transcript.pyannote[202].end 2875.15971875
transcript.pyannote[203].speaker SPEAKER_09
transcript.pyannote[203].start 2875.81784375
transcript.pyannote[203].end 2877.69096875
transcript.pyannote[204].speaker SPEAKER_09
transcript.pyannote[204].start 2878.66971875
transcript.pyannote[204].end 2879.66534375
transcript.pyannote[205].speaker SPEAKER_09
transcript.pyannote[205].start 2880.59346875
transcript.pyannote[205].end 2881.55534375
transcript.pyannote[206].speaker SPEAKER_09
transcript.pyannote[206].start 2882.80409375
transcript.pyannote[206].end 2884.03596875
transcript.pyannote[207].speaker SPEAKER_09
transcript.pyannote[207].start 2884.69409375
transcript.pyannote[207].end 2886.02721875
transcript.pyannote[208].speaker SPEAKER_09
transcript.pyannote[208].start 2886.88784375
transcript.pyannote[208].end 2890.09409375
transcript.pyannote[209].speaker SPEAKER_09
transcript.pyannote[209].start 2890.70159375
transcript.pyannote[209].end 2894.66721875
transcript.pyannote[210].speaker SPEAKER_09
transcript.pyannote[210].start 2895.64596875
transcript.pyannote[210].end 2899.99971875
transcript.pyannote[211].speaker SPEAKER_09
transcript.pyannote[211].start 2900.48909375
transcript.pyannote[211].end 2903.20596875
transcript.pyannote[212].speaker SPEAKER_09
transcript.pyannote[212].start 2903.39159375
transcript.pyannote[212].end 2908.47096875
transcript.pyannote[213].speaker SPEAKER_10
transcript.pyannote[213].start 2909.44971875
transcript.pyannote[213].end 2916.82409375
transcript.pyannote[214].speaker SPEAKER_09
transcript.pyannote[214].start 2912.72346875
transcript.pyannote[214].end 2914.02284375
transcript.pyannote[215].speaker SPEAKER_09
transcript.pyannote[215].start 2915.84534375
transcript.pyannote[215].end 2918.00534375
transcript.pyannote[216].speaker SPEAKER_10
transcript.pyannote[216].start 2918.00534375
transcript.pyannote[216].end 2918.02221875
transcript.pyannote[217].speaker SPEAKER_10
transcript.pyannote[217].start 2918.03909375
transcript.pyannote[217].end 2920.65471875
transcript.pyannote[218].speaker SPEAKER_09
transcript.pyannote[218].start 2919.62534375
transcript.pyannote[218].end 2924.01284375
transcript.pyannote[219].speaker SPEAKER_10
transcript.pyannote[219].start 2920.67159375
transcript.pyannote[219].end 2920.73909375
transcript.pyannote[220].speaker SPEAKER_10
transcript.pyannote[220].start 2924.19846875
transcript.pyannote[220].end 2924.97471875
transcript.pyannote[221].speaker SPEAKER_09
transcript.pyannote[221].start 2925.00846875
transcript.pyannote[221].end 2927.33721875
transcript.pyannote[222].speaker SPEAKER_09
transcript.pyannote[222].start 2928.46784375
transcript.pyannote[222].end 2930.57721875
transcript.pyannote[223].speaker SPEAKER_09
transcript.pyannote[223].start 2931.53909375
transcript.pyannote[223].end 2933.86784375
transcript.pyannote[224].speaker SPEAKER_09
transcript.pyannote[224].start 2934.69471875
transcript.pyannote[224].end 2936.58471875
transcript.pyannote[225].speaker SPEAKER_09
transcript.pyannote[225].start 2937.42846875
transcript.pyannote[225].end 2940.48284375
transcript.pyannote[226].speaker SPEAKER_09
transcript.pyannote[226].start 2940.68534375
transcript.pyannote[226].end 2941.54596875
transcript.pyannote[227].speaker SPEAKER_09
transcript.pyannote[227].start 2942.55846875
transcript.pyannote[227].end 2947.23284375
transcript.pyannote[228].speaker SPEAKER_09
transcript.pyannote[228].start 2948.05971875
transcript.pyannote[228].end 2952.90284375
transcript.pyannote[229].speaker SPEAKER_08
transcript.pyannote[229].start 2952.80159375
transcript.pyannote[229].end 2952.86909375
transcript.pyannote[230].speaker SPEAKER_08
transcript.pyannote[230].start 2952.90284375
transcript.pyannote[230].end 2953.29096875
transcript.pyannote[231].speaker SPEAKER_09
transcript.pyannote[231].start 2953.29096875
transcript.pyannote[231].end 2953.86471875
transcript.pyannote[232].speaker SPEAKER_08
transcript.pyannote[232].start 2953.30784375
transcript.pyannote[232].end 2953.32471875
transcript.pyannote[233].speaker SPEAKER_09
transcript.pyannote[233].start 2954.45534375
transcript.pyannote[233].end 2959.34909375
transcript.pyannote[234].speaker SPEAKER_09
transcript.pyannote[234].start 2959.75409375
transcript.pyannote[234].end 2962.31909375
transcript.pyannote[235].speaker SPEAKER_09
transcript.pyannote[235].start 2962.35284375
transcript.pyannote[235].end 2974.43534375
transcript.pyannote[236].speaker SPEAKER_10
transcript.pyannote[236].start 2974.43534375
transcript.pyannote[236].end 2975.19471875
transcript.pyannote[237].speaker SPEAKER_09
transcript.pyannote[237].start 2975.19471875
transcript.pyannote[237].end 2981.40471875
transcript.pyannote[238].speaker SPEAKER_09
transcript.pyannote[238].start 2982.06284375
transcript.pyannote[238].end 2990.92221875
transcript.pyannote[239].speaker SPEAKER_09
transcript.pyannote[239].start 2992.74471875
transcript.pyannote[239].end 2993.84159375
transcript.pyannote[240].speaker SPEAKER_10
transcript.pyannote[240].start 2993.84159375
transcript.pyannote[240].end 2996.99721875
transcript.pyannote[241].speaker SPEAKER_09
transcript.pyannote[241].start 2997.23346875
transcript.pyannote[241].end 2999.71409375
transcript.pyannote[242].speaker SPEAKER_09
transcript.pyannote[242].start 3000.30471875
transcript.pyannote[242].end 3001.73909375
transcript.pyannote[243].speaker SPEAKER_09
transcript.pyannote[243].start 3002.88659375
transcript.pyannote[243].end 3004.03409375
transcript.pyannote[244].speaker SPEAKER_09
transcript.pyannote[244].start 3004.75971875
transcript.pyannote[244].end 3005.99159375
transcript.pyannote[245].speaker SPEAKER_09
transcript.pyannote[245].start 3006.73409375
transcript.pyannote[245].end 3007.96596875
transcript.pyannote[246].speaker SPEAKER_09
transcript.pyannote[246].start 3008.48909375
transcript.pyannote[246].end 3009.95721875
transcript.pyannote[247].speaker SPEAKER_09
transcript.pyannote[247].start 3009.97409375
transcript.pyannote[247].end 3010.02471875
transcript.pyannote[248].speaker SPEAKER_09
transcript.pyannote[248].start 3010.27784375
transcript.pyannote[248].end 3016.94346875
transcript.pyannote[249].speaker SPEAKER_10
transcript.pyannote[249].start 3018.71534375
transcript.pyannote[249].end 3018.78284375
transcript.pyannote[250].speaker SPEAKER_09
transcript.pyannote[250].start 3018.78284375
transcript.pyannote[250].end 3020.08221875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 3018.79971875
transcript.pyannote[251].end 3018.86721875
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 3020.50409375
transcript.pyannote[252].end 3022.24221875
transcript.pyannote[253].speaker SPEAKER_09
transcript.pyannote[253].start 3022.24221875
transcript.pyannote[253].end 3023.35596875
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 3022.25909375
transcript.pyannote[254].end 3022.51221875
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 3023.35596875
transcript.pyannote[255].end 3029.16096875
transcript.pyannote[256].speaker SPEAKER_10
transcript.pyannote[256].start 3029.51534375
transcript.pyannote[256].end 3036.70409375
transcript.pyannote[257].speaker SPEAKER_09
transcript.pyannote[257].start 3036.70409375
transcript.pyannote[257].end 3037.75034375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 3037.39596875
transcript.pyannote[258].end 3037.41284375
transcript.pyannote[259].speaker SPEAKER_10
transcript.pyannote[259].start 3037.42971875
transcript.pyannote[259].end 3037.66596875
transcript.pyannote[260].speaker SPEAKER_10
transcript.pyannote[260].start 3037.75034375
transcript.pyannote[260].end 3037.86846875
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 3038.66159375
transcript.pyannote[261].end 3039.97784375
transcript.pyannote[262].speaker SPEAKER_09
transcript.pyannote[262].start 3039.97784375
transcript.pyannote[262].end 3040.14659375
transcript.pyannote[263].speaker SPEAKER_09
transcript.pyannote[263].start 3040.77096875
transcript.pyannote[263].end 3042.86346875
transcript.pyannote[264].speaker SPEAKER_09
transcript.pyannote[264].start 3044.11221875
transcript.pyannote[264].end 3046.62659375
transcript.pyannote[265].speaker SPEAKER_09
transcript.pyannote[265].start 3048.73596875
transcript.pyannote[265].end 3056.19471875
transcript.pyannote[266].speaker SPEAKER_09
transcript.pyannote[266].start 3057.08909375
transcript.pyannote[266].end 3059.62034375
transcript.pyannote[267].speaker SPEAKER_09
transcript.pyannote[267].start 3060.32909375
transcript.pyannote[267].end 3063.01221875
transcript.pyannote[268].speaker SPEAKER_09
transcript.pyannote[268].start 3063.72096875
transcript.pyannote[268].end 3066.23534375
transcript.pyannote[269].speaker SPEAKER_09
transcript.pyannote[269].start 3066.42096875
transcript.pyannote[269].end 3073.28909375
transcript.pyannote[270].speaker SPEAKER_10
transcript.pyannote[270].start 3073.77846875
transcript.pyannote[270].end 3074.70659375
transcript.pyannote[271].speaker SPEAKER_09
transcript.pyannote[271].start 3074.58846875
transcript.pyannote[271].end 3080.54534375
transcript.pyannote[272].speaker SPEAKER_10
transcript.pyannote[272].start 3076.63034375
transcript.pyannote[272].end 3077.35596875
transcript.pyannote[273].speaker SPEAKER_09
transcript.pyannote[273].start 3082.24971875
transcript.pyannote[273].end 3083.17784375
transcript.pyannote[274].speaker SPEAKER_09
transcript.pyannote[274].start 3084.02159375
transcript.pyannote[274].end 3085.35471875
transcript.pyannote[275].speaker SPEAKER_10
transcript.pyannote[275].start 3086.77221875
transcript.pyannote[275].end 3093.52221875
transcript.pyannote[276].speaker SPEAKER_09
transcript.pyannote[276].start 3093.10034375
transcript.pyannote[276].end 3099.07409375
transcript.pyannote[277].speaker SPEAKER_09
transcript.pyannote[277].start 3099.24284375
transcript.pyannote[277].end 3101.31846875
transcript.pyannote[278].speaker SPEAKER_09
transcript.pyannote[278].start 3101.40284375
transcript.pyannote[278].end 3102.65159375
transcript.pyannote[279].speaker SPEAKER_09
transcript.pyannote[279].start 3103.00596875
transcript.pyannote[279].end 3105.08159375
transcript.pyannote[280].speaker SPEAKER_09
transcript.pyannote[280].start 3105.48659375
transcript.pyannote[280].end 3118.44659375
transcript.pyannote[281].speaker SPEAKER_10
transcript.pyannote[281].start 3118.51409375
transcript.pyannote[281].end 3119.88096875
transcript.pyannote[282].speaker SPEAKER_09
transcript.pyannote[282].start 3119.69534375
transcript.pyannote[282].end 3120.21846875
transcript.pyannote[283].speaker SPEAKER_09
transcript.pyannote[283].start 3121.24784375
transcript.pyannote[283].end 3123.44159375
transcript.pyannote[284].speaker SPEAKER_09
transcript.pyannote[284].start 3123.71159375
transcript.pyannote[284].end 3124.28534375
transcript.pyannote[285].speaker SPEAKER_10
transcript.pyannote[285].start 3125.29784375
transcript.pyannote[285].end 3128.97659375
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 3129.39846875
transcript.pyannote[286].end 3130.12409375
transcript.pyannote[287].speaker SPEAKER_09
transcript.pyannote[287].start 3130.86659375
transcript.pyannote[287].end 3132.40221875
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 3132.40221875
transcript.pyannote[288].end 3132.43596875
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 3132.45284375
transcript.pyannote[289].end 3135.82784375
transcript.pyannote[290].speaker SPEAKER_09
transcript.pyannote[290].start 3135.92909375
transcript.pyannote[290].end 3137.70096875
transcript.pyannote[291].speaker SPEAKER_10
transcript.pyannote[291].start 3136.38471875
transcript.pyannote[291].end 3136.58721875
transcript.pyannote[292].speaker SPEAKER_10
transcript.pyannote[292].start 3139.03409375
transcript.pyannote[292].end 3141.32909375
transcript.pyannote[293].speaker SPEAKER_09
transcript.pyannote[293].start 3141.32909375
transcript.pyannote[293].end 3145.24409375
transcript.pyannote[294].speaker SPEAKER_09
transcript.pyannote[294].start 3146.03721875
transcript.pyannote[294].end 3147.26909375
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 3147.23534375
transcript.pyannote[295].end 3147.25221875
transcript.pyannote[296].speaker SPEAKER_16
transcript.pyannote[296].start 3147.25221875
transcript.pyannote[296].end 3147.50534375
transcript.pyannote[297].speaker SPEAKER_09
transcript.pyannote[297].start 3147.50534375
transcript.pyannote[297].end 3156.65159375
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 3159.03096875
transcript.pyannote[298].end 3159.04784375
transcript.pyannote[299].speaker SPEAKER_09
transcript.pyannote[299].start 3159.04784375
transcript.pyannote[299].end 3159.08159375
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 3159.08159375
transcript.pyannote[300].end 3159.41909375
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 3159.72284375
transcript.pyannote[301].end 3163.16534375
transcript.pyannote[302].speaker SPEAKER_09
transcript.pyannote[302].start 3162.86159375
transcript.pyannote[302].end 3163.33409375
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 3163.36784375
transcript.pyannote[303].end 3163.55346875
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 3163.55346875
transcript.pyannote[304].end 3163.84034375
transcript.pyannote[305].speaker SPEAKER_09
transcript.pyannote[305].start 3163.84034375
transcript.pyannote[305].end 3163.95846875
transcript.pyannote[306].speaker SPEAKER_10
transcript.pyannote[306].start 3163.95846875
transcript.pyannote[306].end 3163.97534375
transcript.pyannote[307].speaker SPEAKER_09
transcript.pyannote[307].start 3163.97534375
transcript.pyannote[307].end 3165.40971875
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 3163.99221875
transcript.pyannote[308].end 3164.02596875
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 3164.04284375
transcript.pyannote[309].end 3164.75159375
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 3165.94971875
transcript.pyannote[310].end 3168.97034375
transcript.pyannote[311].speaker SPEAKER_09
transcript.pyannote[311].start 3168.86909375
transcript.pyannote[311].end 3170.67471875
transcript.pyannote[312].speaker SPEAKER_10
transcript.pyannote[312].start 3170.53971875
transcript.pyannote[312].end 3173.57721875
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 3173.89784375
transcript.pyannote[313].end 3177.44159375
transcript.pyannote[314].speaker SPEAKER_09
transcript.pyannote[314].start 3176.68221875
transcript.pyannote[314].end 3179.82096875
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 3180.42846875
transcript.pyannote[315].end 3182.06534375
transcript.pyannote[316].speaker SPEAKER_09
transcript.pyannote[316].start 3182.06534375
transcript.pyannote[316].end 3188.15721875
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 3190.40159375
transcript.pyannote[317].end 3190.45221875
transcript.pyannote[318].speaker SPEAKER_09
transcript.pyannote[318].start 3190.45221875
transcript.pyannote[318].end 3190.48596875
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 3190.48596875
transcript.pyannote[319].end 3194.80596875
transcript.pyannote[320].speaker SPEAKER_09
transcript.pyannote[320].start 3194.78909375
transcript.pyannote[320].end 3195.53159375
transcript.pyannote[321].speaker SPEAKER_09
transcript.pyannote[321].start 3196.32471875
transcript.pyannote[321].end 3201.45471875
transcript.pyannote[322].speaker SPEAKER_09
transcript.pyannote[322].start 3201.60659375
transcript.pyannote[322].end 3208.17096875
transcript.pyannote[323].speaker SPEAKER_09
transcript.pyannote[323].start 3208.96409375
transcript.pyannote[323].end 3209.97659375
transcript.pyannote[324].speaker SPEAKER_09
transcript.pyannote[324].start 3210.68534375
transcript.pyannote[324].end 3211.63034375
transcript.pyannote[325].speaker SPEAKER_09
transcript.pyannote[325].start 3212.64284375
transcript.pyannote[325].end 3220.87784375
transcript.pyannote[326].speaker SPEAKER_09
transcript.pyannote[326].start 3221.24909375
transcript.pyannote[326].end 3223.18971875
transcript.pyannote[327].speaker SPEAKER_10
transcript.pyannote[327].start 3223.44284375
transcript.pyannote[327].end 3224.21909375
transcript.pyannote[328].speaker SPEAKER_09
transcript.pyannote[328].start 3224.21909375
transcript.pyannote[328].end 3229.50096875
transcript.pyannote[329].speaker SPEAKER_09
transcript.pyannote[329].start 3230.02409375
transcript.pyannote[329].end 3234.91784375
transcript.pyannote[330].speaker SPEAKER_09
transcript.pyannote[330].start 3235.71096875
transcript.pyannote[330].end 3237.83721875
transcript.pyannote[331].speaker SPEAKER_09
transcript.pyannote[331].start 3239.22096875
transcript.pyannote[331].end 3239.98034375
transcript.pyannote[332].speaker SPEAKER_10
transcript.pyannote[332].start 3239.98034375
transcript.pyannote[332].end 3240.65534375
transcript.pyannote[333].speaker SPEAKER_09
transcript.pyannote[333].start 3240.84096875
transcript.pyannote[333].end 3242.27534375
transcript.pyannote[334].speaker SPEAKER_09
transcript.pyannote[334].start 3242.95034375
transcript.pyannote[334].end 3244.04721875
transcript.pyannote[335].speaker SPEAKER_09
transcript.pyannote[335].start 3244.55346875
transcript.pyannote[335].end 3248.21534375
transcript.pyannote[336].speaker SPEAKER_09
transcript.pyannote[336].start 3249.02534375
transcript.pyannote[336].end 3249.76784375
transcript.pyannote[337].speaker SPEAKER_09
transcript.pyannote[337].start 3250.29096875
transcript.pyannote[337].end 3251.15159375
transcript.pyannote[338].speaker SPEAKER_09
transcript.pyannote[338].start 3251.52284375
transcript.pyannote[338].end 3255.64034375
transcript.pyannote[339].speaker SPEAKER_09
transcript.pyannote[339].start 3255.91034375
transcript.pyannote[339].end 3257.27721875
transcript.pyannote[340].speaker SPEAKER_09
transcript.pyannote[340].start 3257.68221875
transcript.pyannote[340].end 3258.99846875
transcript.pyannote[341].speaker SPEAKER_10
transcript.pyannote[341].start 3259.67346875
transcript.pyannote[341].end 3261.64784375
transcript.pyannote[342].speaker SPEAKER_09
transcript.pyannote[342].start 3262.10346875
transcript.pyannote[342].end 3263.40284375
transcript.pyannote[343].speaker SPEAKER_09
transcript.pyannote[343].start 3264.24659375
transcript.pyannote[343].end 3265.02284375
transcript.pyannote[344].speaker SPEAKER_09
transcript.pyannote[344].start 3265.93409375
transcript.pyannote[344].end 3267.43596875
transcript.pyannote[345].speaker SPEAKER_09
transcript.pyannote[345].start 3267.68909375
transcript.pyannote[345].end 3269.30909375
transcript.pyannote[346].speaker SPEAKER_09
transcript.pyannote[346].start 3269.95034375
transcript.pyannote[346].end 3272.66721875
transcript.pyannote[347].speaker SPEAKER_09
transcript.pyannote[347].start 3273.94971875
transcript.pyannote[347].end 3275.87346875
transcript.pyannote[348].speaker SPEAKER_09
transcript.pyannote[348].start 3276.39659375
transcript.pyannote[348].end 3279.38346875
transcript.pyannote[349].speaker SPEAKER_09
transcript.pyannote[349].start 3280.15971875
transcript.pyannote[349].end 3285.37409375
transcript.pyannote[350].speaker SPEAKER_09
transcript.pyannote[350].start 3287.83784375
transcript.pyannote[350].end 3289.05284375
transcript.pyannote[351].speaker SPEAKER_10
transcript.pyannote[351].start 3289.67721875
transcript.pyannote[351].end 3289.81221875
transcript.pyannote[352].speaker SPEAKER_10
transcript.pyannote[352].start 3290.04846875
transcript.pyannote[352].end 3291.38159375
transcript.pyannote[353].speaker SPEAKER_10
transcript.pyannote[353].start 3291.71909375
transcript.pyannote[353].end 3295.36409375
transcript.pyannote[354].speaker SPEAKER_10
transcript.pyannote[354].start 3295.53284375
transcript.pyannote[354].end 3297.23721875
transcript.pyannote[355].speaker SPEAKER_09
transcript.pyannote[355].start 3295.70159375
transcript.pyannote[355].end 3309.53909375
transcript.pyannote[356].speaker SPEAKER_09
transcript.pyannote[356].start 3311.34471875
transcript.pyannote[356].end 3315.78284375
transcript.pyannote[357].speaker SPEAKER_09
transcript.pyannote[357].start 3316.77846875
transcript.pyannote[357].end 3323.00534375
transcript.pyannote[358].speaker SPEAKER_09
transcript.pyannote[358].start 3325.46909375
transcript.pyannote[358].end 3327.39284375
transcript.pyannote[359].speaker SPEAKER_10
transcript.pyannote[359].start 3328.03409375
transcript.pyannote[359].end 3335.49284375
transcript.pyannote[360].speaker SPEAKER_09
transcript.pyannote[360].start 3330.64971875
transcript.pyannote[360].end 3331.37534375
transcript.pyannote[361].speaker SPEAKER_09
transcript.pyannote[361].start 3333.68721875
transcript.pyannote[361].end 3336.62346875
transcript.pyannote[362].speaker SPEAKER_10
transcript.pyannote[362].start 3336.62346875
transcript.pyannote[362].end 3338.27721875
transcript.pyannote[363].speaker SPEAKER_09
transcript.pyannote[363].start 3337.82159375
transcript.pyannote[363].end 3338.29409375
transcript.pyannote[364].speaker SPEAKER_10
transcript.pyannote[364].start 3338.29409375
transcript.pyannote[364].end 3338.36159375
transcript.pyannote[365].speaker SPEAKER_09
transcript.pyannote[365].start 3338.36159375
transcript.pyannote[365].end 3338.69909375
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 3338.69909375
transcript.pyannote[366].end 3338.80034375
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 3338.80034375
transcript.pyannote[367].end 3343.20471875
transcript.pyannote[368].speaker SPEAKER_10
transcript.pyannote[368].start 3338.86784375
transcript.pyannote[368].end 3339.72846875
transcript.pyannote[369].speaker SPEAKER_10
transcript.pyannote[369].start 3343.32284375
transcript.pyannote[369].end 3348.60471875
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 3349.09409375
transcript.pyannote[370].end 3349.17846875
transcript.pyannote[371].speaker SPEAKER_09
transcript.pyannote[371].start 3349.17846875
transcript.pyannote[371].end 3349.19534375
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 3349.19534375
transcript.pyannote[372].end 3349.27971875
transcript.pyannote[373].speaker SPEAKER_09
transcript.pyannote[373].start 3349.27971875
transcript.pyannote[373].end 3349.41471875
transcript.pyannote[374].speaker SPEAKER_10
transcript.pyannote[374].start 3349.41471875
transcript.pyannote[374].end 3349.44846875
transcript.pyannote[375].speaker SPEAKER_09
transcript.pyannote[375].start 3349.44846875
transcript.pyannote[375].end 3355.42221875
transcript.pyannote[376].speaker SPEAKER_10
transcript.pyannote[376].start 3349.48221875
transcript.pyannote[376].end 3350.98409375
transcript.pyannote[377].speaker SPEAKER_09
transcript.pyannote[377].start 3356.33346875
transcript.pyannote[377].end 3358.00409375
transcript.pyannote[378].speaker SPEAKER_09
transcript.pyannote[378].start 3358.78034375
transcript.pyannote[378].end 3360.34971875
transcript.pyannote[379].speaker SPEAKER_09
transcript.pyannote[379].start 3360.77159375
transcript.pyannote[379].end 3362.39159375
transcript.pyannote[380].speaker SPEAKER_09
transcript.pyannote[380].start 3363.30284375
transcript.pyannote[380].end 3364.31534375
transcript.pyannote[381].speaker SPEAKER_09
transcript.pyannote[381].start 3365.39534375
transcript.pyannote[381].end 3370.08659375
transcript.pyannote[382].speaker SPEAKER_09
transcript.pyannote[382].start 3370.40721875
transcript.pyannote[382].end 3377.71409375
transcript.pyannote[383].speaker SPEAKER_09
transcript.pyannote[383].start 3378.62534375
transcript.pyannote[383].end 3380.02596875
transcript.pyannote[384].speaker SPEAKER_09
transcript.pyannote[384].start 3381.74721875
transcript.pyannote[384].end 3383.53596875
transcript.pyannote[385].speaker SPEAKER_09
transcript.pyannote[385].start 3384.44721875
transcript.pyannote[385].end 3387.13034375
transcript.pyannote[386].speaker SPEAKER_09
transcript.pyannote[386].start 3387.78846875
transcript.pyannote[386].end 3397.66034375
transcript.pyannote[387].speaker SPEAKER_09
transcript.pyannote[387].start 3400.10721875
transcript.pyannote[387].end 3402.77346875
transcript.pyannote[388].speaker SPEAKER_09
transcript.pyannote[388].start 3404.81534375
transcript.pyannote[388].end 3406.60409375
transcript.pyannote[389].speaker SPEAKER_09
transcript.pyannote[389].start 3408.91596875
transcript.pyannote[389].end 3410.94096875
transcript.pyannote[390].speaker SPEAKER_09
transcript.pyannote[390].start 3413.43846875
transcript.pyannote[390].end 3414.94034375
transcript.pyannote[391].speaker SPEAKER_09
transcript.pyannote[391].start 3415.73346875
transcript.pyannote[391].end 3418.14659375
transcript.pyannote[392].speaker SPEAKER_09
transcript.pyannote[392].start 3418.72034375
transcript.pyannote[392].end 3421.30221875
transcript.pyannote[393].speaker SPEAKER_09
transcript.pyannote[393].start 3423.76596875
transcript.pyannote[393].end 3424.69409375
transcript.pyannote[394].speaker SPEAKER_09
transcript.pyannote[394].start 3425.25096875
transcript.pyannote[394].end 3426.61784375
transcript.pyannote[395].speaker SPEAKER_09
transcript.pyannote[395].start 3427.66409375
transcript.pyannote[395].end 3429.84096875
transcript.pyannote[396].speaker SPEAKER_09
transcript.pyannote[396].start 3430.46534375
transcript.pyannote[396].end 3434.11034375
transcript.pyannote[397].speaker SPEAKER_09
transcript.pyannote[397].start 3436.10159375
transcript.pyannote[397].end 3438.70034375
transcript.pyannote[398].speaker SPEAKER_09
transcript.pyannote[398].start 3439.81409375
transcript.pyannote[398].end 3441.83909375
transcript.pyannote[399].speaker SPEAKER_09
transcript.pyannote[399].start 3444.20159375
transcript.pyannote[399].end 3447.07034375
transcript.pyannote[400].speaker SPEAKER_09
transcript.pyannote[400].start 3451.01909375
transcript.pyannote[400].end 3452.40284375
transcript.pyannote[401].speaker SPEAKER_09
transcript.pyannote[401].start 3454.83284375
transcript.pyannote[401].end 3457.09409375
transcript.pyannote[402].speaker SPEAKER_09
transcript.pyannote[402].start 3457.54971875
transcript.pyannote[402].end 3459.42284375
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 3459.94596875
transcript.pyannote[403].end 3462.49409375
transcript.pyannote[404].speaker SPEAKER_09
transcript.pyannote[404].start 3463.43909375
transcript.pyannote[404].end 3464.36721875
transcript.pyannote[405].speaker SPEAKER_09
transcript.pyannote[405].start 3465.81846875
transcript.pyannote[405].end 3466.79721875
transcript.pyannote[406].speaker SPEAKER_09
transcript.pyannote[406].start 3467.38784375
transcript.pyannote[406].end 3473.83409375
transcript.pyannote[407].speaker SPEAKER_10
transcript.pyannote[407].start 3474.89721875
transcript.pyannote[407].end 3481.20846875
transcript.pyannote[408].speaker SPEAKER_09
transcript.pyannote[408].start 3480.75284375
transcript.pyannote[408].end 3486.81096875
transcript.pyannote[409].speaker SPEAKER_09
transcript.pyannote[409].start 3487.78971875
transcript.pyannote[409].end 3490.30409375
transcript.pyannote[410].speaker SPEAKER_09
transcript.pyannote[410].start 3491.06346875
transcript.pyannote[410].end 3492.59909375
transcript.pyannote[411].speaker SPEAKER_09
transcript.pyannote[411].start 3493.37534375
transcript.pyannote[411].end 3500.66534375
transcript.pyannote[412].speaker SPEAKER_09
transcript.pyannote[412].start 3501.57659375
transcript.pyannote[412].end 3512.20784375
transcript.pyannote[413].speaker SPEAKER_09
transcript.pyannote[413].start 3513.28784375
transcript.pyannote[413].end 3514.11471875
transcript.pyannote[414].speaker SPEAKER_09
transcript.pyannote[414].start 3515.24534375
transcript.pyannote[414].end 3517.13534375
transcript.pyannote[415].speaker SPEAKER_09
transcript.pyannote[415].start 3517.70909375
transcript.pyannote[415].end 3521.80971875
transcript.pyannote[416].speaker SPEAKER_09
transcript.pyannote[416].start 3522.82221875
transcript.pyannote[416].end 3525.72471875
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 3525.77534375
transcript.pyannote[417].end 3528.57659375
transcript.pyannote[418].speaker SPEAKER_09
transcript.pyannote[418].start 3529.82534375
transcript.pyannote[418].end 3532.22159375
transcript.pyannote[419].speaker SPEAKER_09
transcript.pyannote[419].start 3532.59284375
transcript.pyannote[419].end 3534.34784375
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 3535.64721875
transcript.pyannote[420].end 3536.94659375
transcript.pyannote[421].speaker SPEAKER_09
transcript.pyannote[421].start 3537.45284375
transcript.pyannote[421].end 3539.42721875
transcript.pyannote[422].speaker SPEAKER_09
transcript.pyannote[422].start 3541.62096875
transcript.pyannote[422].end 3542.95409375
transcript.pyannote[423].speaker SPEAKER_09
transcript.pyannote[423].start 3543.73034375
transcript.pyannote[423].end 3547.10534375
transcript.pyannote[424].speaker SPEAKER_09
transcript.pyannote[424].start 3548.37096875
transcript.pyannote[424].end 3550.75034375
transcript.pyannote[425].speaker SPEAKER_09
transcript.pyannote[425].start 3551.50971875
transcript.pyannote[425].end 3552.72471875
transcript.pyannote[426].speaker SPEAKER_09
transcript.pyannote[426].start 3553.09596875
transcript.pyannote[426].end 3555.52596875
transcript.pyannote[427].speaker SPEAKER_09
transcript.pyannote[427].start 3555.62721875
transcript.pyannote[427].end 3560.63909375
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 3563.13659375
transcript.pyannote[428].end 3565.43159375
transcript.pyannote[429].speaker SPEAKER_09
transcript.pyannote[429].start 3567.05159375
transcript.pyannote[429].end 3568.48596875
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 3569.73471875
transcript.pyannote[430].end 3577.51409375
transcript.pyannote[431].speaker SPEAKER_09
transcript.pyannote[431].start 3577.51409375
transcript.pyannote[431].end 3582.67784375
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 3577.53096875
transcript.pyannote[432].end 3577.61534375
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 3582.67784375
transcript.pyannote[433].end 3583.97721875
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 3583.97721875
transcript.pyannote[434].end 3585.81659375
transcript.pyannote[435].speaker SPEAKER_09
transcript.pyannote[435].start 3586.76159375
transcript.pyannote[435].end 3589.39409375
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 3590.35596875
transcript.pyannote[436].end 3592.78596875
transcript.pyannote[437].speaker SPEAKER_09
transcript.pyannote[437].start 3593.49471875
transcript.pyannote[437].end 3597.57846875
transcript.pyannote[438].speaker SPEAKER_09
transcript.pyannote[438].start 3598.33784375
transcript.pyannote[438].end 3605.30721875
transcript.pyannote[439].speaker SPEAKER_09
transcript.pyannote[439].start 3608.27721875
transcript.pyannote[439].end 3615.02721875
transcript.pyannote[440].speaker SPEAKER_09
transcript.pyannote[440].start 3615.55034375
transcript.pyannote[440].end 3618.28409375
transcript.pyannote[441].speaker SPEAKER_09
transcript.pyannote[441].start 3620.00534375
transcript.pyannote[441].end 3620.88284375
transcript.pyannote[442].speaker SPEAKER_09
transcript.pyannote[442].start 3621.23721875
transcript.pyannote[442].end 3629.84346875
transcript.pyannote[443].speaker SPEAKER_09
transcript.pyannote[443].start 3630.36659375
transcript.pyannote[443].end 3633.01596875
transcript.pyannote[444].speaker SPEAKER_09
transcript.pyannote[444].start 3633.47159375
transcript.pyannote[444].end 3634.95659375
transcript.pyannote[445].speaker SPEAKER_09
transcript.pyannote[445].start 3635.41221875
transcript.pyannote[445].end 3639.49596875
transcript.pyannote[446].speaker SPEAKER_09
transcript.pyannote[446].start 3640.22159375
transcript.pyannote[446].end 3644.94659375
transcript.pyannote[447].speaker SPEAKER_09
transcript.pyannote[447].start 3645.46971875
transcript.pyannote[447].end 3655.03784375
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 3655.96596875
transcript.pyannote[448].end 3658.26096875
transcript.pyannote[449].speaker SPEAKER_09
transcript.pyannote[449].start 3659.03721875
transcript.pyannote[449].end 3662.37846875
transcript.pyannote[450].speaker SPEAKER_09
transcript.pyannote[450].start 3663.57659375
transcript.pyannote[450].end 3664.79159375
transcript.pyannote[451].speaker SPEAKER_09
transcript.pyannote[451].start 3665.88846875
transcript.pyannote[451].end 3668.11596875
transcript.pyannote[452].speaker SPEAKER_09
transcript.pyannote[452].start 3668.58846875
transcript.pyannote[452].end 3673.22909375
transcript.pyannote[453].speaker SPEAKER_09
transcript.pyannote[453].start 3673.75221875
transcript.pyannote[453].end 3674.44409375
transcript.pyannote[454].speaker SPEAKER_09
transcript.pyannote[454].start 3675.45659375
transcript.pyannote[454].end 3682.74659375
transcript.pyannote[455].speaker SPEAKER_09
transcript.pyannote[455].start 3683.30346875
transcript.pyannote[455].end 3688.99034375
transcript.pyannote[456].speaker SPEAKER_09
transcript.pyannote[456].start 3689.96909375
transcript.pyannote[456].end 3690.82971875
transcript.pyannote[457].speaker SPEAKER_09
transcript.pyannote[457].start 3691.62284375
transcript.pyannote[457].end 3694.42409375
transcript.pyannote[458].speaker SPEAKER_09
transcript.pyannote[458].start 3694.96409375
transcript.pyannote[458].end 3697.37721875
transcript.pyannote[459].speaker SPEAKER_09
transcript.pyannote[459].start 3697.83284375
transcript.pyannote[459].end 3700.09409375
transcript.pyannote[460].speaker SPEAKER_09
transcript.pyannote[460].start 3700.88721875
transcript.pyannote[460].end 3703.95846875
transcript.pyannote[461].speaker SPEAKER_09
transcript.pyannote[461].start 3704.66721875
transcript.pyannote[461].end 3708.58221875
transcript.pyannote[462].speaker SPEAKER_09
transcript.pyannote[462].start 3710.53971875
transcript.pyannote[462].end 3715.65284375
transcript.pyannote[463].speaker SPEAKER_09
transcript.pyannote[463].start 3716.78346875
transcript.pyannote[463].end 3718.03221875
transcript.pyannote[464].speaker SPEAKER_09
transcript.pyannote[464].start 3718.15034375
transcript.pyannote[464].end 3723.75284375
transcript.pyannote[465].speaker SPEAKER_09
transcript.pyannote[465].start 3724.17471875
transcript.pyannote[465].end 3729.15284375
transcript.pyannote[466].speaker SPEAKER_09
transcript.pyannote[466].start 3729.27096875
transcript.pyannote[466].end 3735.58221875
transcript.pyannote[467].speaker SPEAKER_09
transcript.pyannote[467].start 3736.24034375
transcript.pyannote[467].end 3741.80909375
transcript.pyannote[468].speaker SPEAKER_09
transcript.pyannote[468].start 3742.46721875
transcript.pyannote[468].end 3745.28534375
transcript.pyannote[469].speaker SPEAKER_09
transcript.pyannote[469].start 3746.71971875
transcript.pyannote[469].end 3748.03596875
transcript.pyannote[470].speaker SPEAKER_09
transcript.pyannote[470].start 3748.93034375
transcript.pyannote[470].end 3749.95971875
transcript.pyannote[471].speaker SPEAKER_10
transcript.pyannote[471].start 3750.53346875
transcript.pyannote[471].end 3763.66221875
transcript.pyannote[472].speaker SPEAKER_09
transcript.pyannote[472].start 3763.12221875
transcript.pyannote[472].end 3763.74659375
transcript.pyannote[473].speaker SPEAKER_10
transcript.pyannote[473].start 3763.74659375
transcript.pyannote[473].end 3763.83096875
transcript.pyannote[474].speaker SPEAKER_09
transcript.pyannote[474].start 3763.83096875
transcript.pyannote[474].end 3763.84784375
transcript.pyannote[475].speaker SPEAKER_10
transcript.pyannote[475].start 3763.84784375
transcript.pyannote[475].end 3764.05034375
transcript.pyannote[476].speaker SPEAKER_09
transcript.pyannote[476].start 3764.05034375
transcript.pyannote[476].end 3764.06721875
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 3764.06721875
transcript.pyannote[477].end 3764.08409375
transcript.pyannote[478].speaker SPEAKER_09
transcript.pyannote[478].start 3764.08409375
transcript.pyannote[478].end 3765.26534375
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 3764.62409375
transcript.pyannote[479].end 3774.91784375
transcript.pyannote[480].speaker SPEAKER_09
transcript.pyannote[480].start 3769.29846875
transcript.pyannote[480].end 3772.69034375
transcript.pyannote[481].speaker SPEAKER_09
transcript.pyannote[481].start 3773.92221875
transcript.pyannote[481].end 3775.03596875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 3775.03596875
transcript.pyannote[482].end 3775.05284375
transcript.pyannote[483].speaker SPEAKER_09
transcript.pyannote[483].start 3775.05284375
transcript.pyannote[483].end 3775.06971875
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 3775.57596875
transcript.pyannote[484].end 3776.87534375
transcript.pyannote[485].speaker SPEAKER_09
transcript.pyannote[485].start 3775.94721875
transcript.pyannote[485].end 3777.83721875
transcript.pyannote[486].speaker SPEAKER_09
transcript.pyannote[486].start 3778.64721875
transcript.pyannote[486].end 3780.06471875
transcript.pyannote[487].speaker SPEAKER_09
transcript.pyannote[487].start 3782.37659375
transcript.pyannote[487].end 3785.11034375
transcript.pyannote[488].speaker SPEAKER_09
transcript.pyannote[488].start 3787.10159375
transcript.pyannote[488].end 3789.02534375
transcript.pyannote[489].speaker SPEAKER_09
transcript.pyannote[489].start 3790.62846875
transcript.pyannote[489].end 3793.83471875
transcript.pyannote[490].speaker SPEAKER_09
transcript.pyannote[490].start 3794.83034375
transcript.pyannote[490].end 3799.63971875
transcript.pyannote[491].speaker SPEAKER_09
transcript.pyannote[491].start 3799.94346875
transcript.pyannote[491].end 3800.66909375
transcript.pyannote[492].speaker SPEAKER_09
transcript.pyannote[492].start 3801.07409375
transcript.pyannote[492].end 3802.30596875
transcript.pyannote[493].speaker SPEAKER_09
transcript.pyannote[493].start 3802.62659375
transcript.pyannote[493].end 3805.84971875
transcript.pyannote[494].speaker SPEAKER_09
transcript.pyannote[494].start 3809.76471875
transcript.pyannote[494].end 3812.73471875
transcript.pyannote[495].speaker SPEAKER_09
transcript.pyannote[495].start 3813.40971875
transcript.pyannote[495].end 3814.82721875
transcript.pyannote[496].speaker SPEAKER_09
transcript.pyannote[496].start 3816.80159375
transcript.pyannote[496].end 3821.00346875
transcript.pyannote[497].speaker SPEAKER_09
transcript.pyannote[497].start 3822.04971875
transcript.pyannote[497].end 3827.51721875
transcript.pyannote[498].speaker SPEAKER_09
transcript.pyannote[498].start 3828.76596875
transcript.pyannote[498].end 3831.83721875
transcript.pyannote[499].speaker SPEAKER_09
transcript.pyannote[499].start 3833.25471875
transcript.pyannote[499].end 3834.45284375
transcript.pyannote[500].speaker SPEAKER_09
transcript.pyannote[500].start 3838.36784375
transcript.pyannote[500].end 3839.65034375
transcript.pyannote[501].speaker SPEAKER_09
transcript.pyannote[501].start 3840.81471875
transcript.pyannote[501].end 3842.09721875
transcript.pyannote[502].speaker SPEAKER_09
transcript.pyannote[502].start 3842.82284375
transcript.pyannote[502].end 3844.18971875
transcript.pyannote[503].speaker SPEAKER_09
transcript.pyannote[503].start 3845.79284375
transcript.pyannote[503].end 3850.23096875
transcript.pyannote[504].speaker SPEAKER_09
transcript.pyannote[504].start 3850.29846875
transcript.pyannote[504].end 3857.09909375
transcript.pyannote[505].speaker SPEAKER_09
transcript.pyannote[505].start 3858.07784375
transcript.pyannote[505].end 3864.03471875
transcript.pyannote[506].speaker SPEAKER_09
transcript.pyannote[506].start 3864.97971875
transcript.pyannote[506].end 3866.65034375
transcript.pyannote[507].speaker SPEAKER_09
transcript.pyannote[507].start 3867.12284375
transcript.pyannote[507].end 3877.21409375
transcript.pyannote[508].speaker SPEAKER_09
transcript.pyannote[508].start 3877.29846875
transcript.pyannote[508].end 3880.18409375
transcript.pyannote[509].speaker SPEAKER_09
transcript.pyannote[509].start 3880.47096875
transcript.pyannote[509].end 3898.39221875
transcript.pyannote[510].speaker SPEAKER_06
transcript.pyannote[510].start 3899.64096875
transcript.pyannote[510].end 3903.62346875
transcript.pyannote[511].speaker SPEAKER_06
transcript.pyannote[511].start 3903.96096875
transcript.pyannote[511].end 3908.70284375
transcript.pyannote[512].speaker SPEAKER_06
transcript.pyannote[512].start 3908.93909375
transcript.pyannote[512].end 3912.63471875
transcript.pyannote[513].speaker SPEAKER_06
transcript.pyannote[513].start 3912.93846875
transcript.pyannote[513].end 3913.57971875
transcript.pyannote[514].speaker SPEAKER_09
transcript.pyannote[514].start 3914.15346875
transcript.pyannote[514].end 3917.96721875
transcript.pyannote[515].speaker SPEAKER_06
transcript.pyannote[515].start 3915.21659375
transcript.pyannote[515].end 3919.70534375
transcript.pyannote[516].speaker SPEAKER_09
transcript.pyannote[516].start 3918.86159375
transcript.pyannote[516].end 3923.06346875
transcript.pyannote[517].speaker SPEAKER_09
transcript.pyannote[517].start 3923.83971875
transcript.pyannote[517].end 3925.89846875
transcript.pyannote[518].speaker SPEAKER_10
transcript.pyannote[518].start 3925.15596875
transcript.pyannote[518].end 3926.91096875
transcript.pyannote[519].speaker SPEAKER_10
transcript.pyannote[519].start 3927.16409375
transcript.pyannote[519].end 3933.07034375
transcript.pyannote[520].speaker SPEAKER_09
transcript.pyannote[520].start 3933.07034375
transcript.pyannote[520].end 3937.67721875
transcript.pyannote[521].speaker SPEAKER_09
transcript.pyannote[521].start 3937.94721875
transcript.pyannote[521].end 3940.69784375
transcript.pyannote[522].speaker SPEAKER_09
transcript.pyannote[522].start 3940.96784375
transcript.pyannote[522].end 3941.03534375
transcript.pyannote[523].speaker SPEAKER_09
transcript.pyannote[523].start 3941.05221875
transcript.pyannote[523].end 3941.60909375
transcript.pyannote[524].speaker SPEAKER_06
transcript.pyannote[524].start 3941.84534375
transcript.pyannote[524].end 3945.11909375
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 3946.97534375
transcript.pyannote[525].end 3952.30784375
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 3954.21471875
transcript.pyannote[526].end 3955.91909375
transcript.pyannote[527].speaker SPEAKER_14
transcript.pyannote[527].start 3968.87909375
transcript.pyannote[527].end 3976.03409375
transcript.pyannote[528].speaker SPEAKER_13
transcript.pyannote[528].start 3976.03409375
transcript.pyannote[528].end 3976.13534375
transcript.pyannote[529].speaker SPEAKER_14
transcript.pyannote[529].start 3976.13534375
transcript.pyannote[529].end 3976.55721875
transcript.pyannote[530].speaker SPEAKER_13
transcript.pyannote[530].start 3976.55721875
transcript.pyannote[530].end 3977.95784375
transcript.pyannote[531].speaker SPEAKER_14
transcript.pyannote[531].start 3977.95784375
transcript.pyannote[531].end 3977.97471875
transcript.pyannote[532].speaker SPEAKER_13
transcript.pyannote[532].start 3977.97471875
transcript.pyannote[532].end 3977.99159375
transcript.pyannote[533].speaker SPEAKER_06
transcript.pyannote[533].start 3978.46409375
transcript.pyannote[533].end 3982.00784375
transcript.pyannote[534].speaker SPEAKER_14
transcript.pyannote[534].start 3985.56846875
transcript.pyannote[534].end 3986.63159375
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 3989.39909375
transcript.pyannote[535].end 3994.05659375
transcript.pyannote[536].speaker SPEAKER_14
transcript.pyannote[536].start 3994.46159375
transcript.pyannote[536].end 3996.26721875
transcript.pyannote[537].speaker SPEAKER_14
transcript.pyannote[537].start 3997.93784375
transcript.pyannote[537].end 3997.97159375
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 3997.97159375
transcript.pyannote[538].end 4002.10596875
transcript.pyannote[539].speaker SPEAKER_14
transcript.pyannote[539].start 4001.31284375
transcript.pyannote[539].end 4003.42221875
transcript.pyannote[540].speaker SPEAKER_14
transcript.pyannote[540].start 4003.81034375
transcript.pyannote[540].end 4008.04596875
transcript.pyannote[541].speaker SPEAKER_10
transcript.pyannote[541].start 4005.07596875
transcript.pyannote[541].end 4005.97034375
transcript.pyannote[542].speaker SPEAKER_10
transcript.pyannote[542].start 4006.74659375
transcript.pyannote[542].end 4006.96596875
transcript.pyannote[543].speaker SPEAKER_14
transcript.pyannote[543].start 4009.02471875
transcript.pyannote[543].end 4013.96909375
transcript.pyannote[544].speaker SPEAKER_10
transcript.pyannote[544].start 4013.96909375
transcript.pyannote[544].end 4021.02284375
transcript.pyannote[545].speaker SPEAKER_14
transcript.pyannote[545].start 4019.62221875
transcript.pyannote[545].end 4021.52909375
transcript.pyannote[546].speaker SPEAKER_14
transcript.pyannote[546].start 4022.38971875
transcript.pyannote[546].end 4023.70596875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 4024.31346875
transcript.pyannote[547].end 4027.19909375
transcript.pyannote[548].speaker SPEAKER_14
transcript.pyannote[548].start 4027.84034375
transcript.pyannote[548].end 4029.98346875
transcript.pyannote[549].speaker SPEAKER_14
transcript.pyannote[549].start 4030.96221875
transcript.pyannote[549].end 4035.04596875
transcript.pyannote[550].speaker SPEAKER_10
transcript.pyannote[550].start 4035.04596875
transcript.pyannote[550].end 4041.54284375
transcript.pyannote[551].speaker SPEAKER_14
transcript.pyannote[551].start 4039.48409375
transcript.pyannote[551].end 4041.25596875
transcript.pyannote[552].speaker SPEAKER_10
transcript.pyannote[552].start 4041.72846875
transcript.pyannote[552].end 4041.76221875
transcript.pyannote[553].speaker SPEAKER_14
transcript.pyannote[553].start 4041.76221875
transcript.pyannote[553].end 4042.67346875
transcript.pyannote[554].speaker SPEAKER_14
transcript.pyannote[554].start 4042.99409375
transcript.pyannote[554].end 4044.68159375
transcript.pyannote[555].speaker SPEAKER_14
transcript.pyannote[555].start 4045.13721875
transcript.pyannote[555].end 4046.87534375
transcript.pyannote[556].speaker SPEAKER_14
transcript.pyannote[556].start 4047.56721875
transcript.pyannote[556].end 4057.03409375
transcript.pyannote[557].speaker SPEAKER_14
transcript.pyannote[557].start 4057.30409375
transcript.pyannote[557].end 4066.04534375
transcript.pyannote[558].speaker SPEAKER_14
transcript.pyannote[558].start 4067.07471875
transcript.pyannote[558].end 4067.73284375
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 4068.55971875
transcript.pyannote[559].end 4070.39909375
transcript.pyannote[560].speaker SPEAKER_14
transcript.pyannote[560].start 4070.65221875
transcript.pyannote[560].end 4072.60971875
transcript.pyannote[561].speaker SPEAKER_14
transcript.pyannote[561].start 4073.53784375
transcript.pyannote[561].end 4074.92159375
transcript.pyannote[562].speaker SPEAKER_14
transcript.pyannote[562].start 4075.30971875
transcript.pyannote[562].end 4075.95096875
transcript.pyannote[563].speaker SPEAKER_14
transcript.pyannote[563].start 4077.45284375
transcript.pyannote[563].end 4079.54534375
transcript.pyannote[564].speaker SPEAKER_14
transcript.pyannote[564].start 4079.89971875
transcript.pyannote[564].end 4081.33409375
transcript.pyannote[565].speaker SPEAKER_14
transcript.pyannote[565].start 4082.59971875
transcript.pyannote[565].end 4086.37971875
transcript.pyannote[566].speaker SPEAKER_14
transcript.pyannote[566].start 4086.51471875
transcript.pyannote[566].end 4086.53159375
transcript.pyannote[567].speaker SPEAKER_10
transcript.pyannote[567].start 4086.53159375
transcript.pyannote[567].end 4087.74659375
transcript.pyannote[568].speaker SPEAKER_14
transcript.pyannote[568].start 4087.74659375
transcript.pyannote[568].end 4090.26096875
transcript.pyannote[569].speaker SPEAKER_14
transcript.pyannote[569].start 4090.53096875
transcript.pyannote[569].end 4091.62784375
transcript.pyannote[570].speaker SPEAKER_07
transcript.pyannote[570].start 4092.94409375
transcript.pyannote[570].end 4097.33159375
transcript.pyannote[571].speaker SPEAKER_14
transcript.pyannote[571].start 4095.72846875
transcript.pyannote[571].end 4097.43284375
transcript.pyannote[572].speaker SPEAKER_07
transcript.pyannote[572].start 4097.43284375
transcript.pyannote[572].end 4097.80409375
transcript.pyannote[573].speaker SPEAKER_14
transcript.pyannote[573].start 4097.80409375
transcript.pyannote[573].end 4097.92221875
transcript.pyannote[574].speaker SPEAKER_07
transcript.pyannote[574].start 4097.92221875
transcript.pyannote[574].end 4097.97284375
transcript.pyannote[575].speaker SPEAKER_14
transcript.pyannote[575].start 4097.97284375
transcript.pyannote[575].end 4101.21284375
transcript.pyannote[576].speaker SPEAKER_14
transcript.pyannote[576].start 4101.63471875
transcript.pyannote[576].end 4102.68096875
transcript.pyannote[577].speaker SPEAKER_23
transcript.pyannote[577].start 4102.68096875
transcript.pyannote[577].end 4104.38534375
transcript.pyannote[578].speaker SPEAKER_14
transcript.pyannote[578].start 4104.06471875
transcript.pyannote[578].end 4105.76909375
transcript.pyannote[579].speaker SPEAKER_23
transcript.pyannote[579].start 4105.95471875
transcript.pyannote[579].end 4106.29221875
transcript.pyannote[580].speaker SPEAKER_10
transcript.pyannote[580].start 4106.29221875
transcript.pyannote[580].end 4106.30909375
transcript.pyannote[581].speaker SPEAKER_14
transcript.pyannote[581].start 4106.30909375
transcript.pyannote[581].end 4110.62909375
transcript.pyannote[582].speaker SPEAKER_10
transcript.pyannote[582].start 4111.05096875
transcript.pyannote[582].end 4112.01284375
transcript.pyannote[583].speaker SPEAKER_14
transcript.pyannote[583].start 4112.01284375
transcript.pyannote[583].end 4114.12221875
transcript.pyannote[584].speaker SPEAKER_10
transcript.pyannote[584].start 4113.16034375
transcript.pyannote[584].end 4115.48909375
transcript.pyannote[585].speaker SPEAKER_14
transcript.pyannote[585].start 4115.48909375
transcript.pyannote[585].end 4122.59346875
transcript.pyannote[586].speaker SPEAKER_14
transcript.pyannote[586].start 4123.35284375
transcript.pyannote[586].end 4126.57596875
transcript.pyannote[587].speaker SPEAKER_14
transcript.pyannote[587].start 4127.18346875
transcript.pyannote[587].end 4128.66846875
transcript.pyannote[588].speaker SPEAKER_10
transcript.pyannote[588].start 4129.41096875
transcript.pyannote[588].end 4131.16596875
transcript.pyannote[589].speaker SPEAKER_14
transcript.pyannote[589].start 4131.62159375
transcript.pyannote[589].end 4133.30909375
transcript.pyannote[590].speaker SPEAKER_10
transcript.pyannote[590].start 4133.30909375
transcript.pyannote[590].end 4134.03471875
transcript.pyannote[591].speaker SPEAKER_14
transcript.pyannote[591].start 4134.03471875
transcript.pyannote[591].end 4135.03034375
transcript.pyannote[592].speaker SPEAKER_14
transcript.pyannote[592].start 4135.16534375
transcript.pyannote[592].end 4138.42221875
transcript.pyannote[593].speaker SPEAKER_10
transcript.pyannote[593].start 4136.22846875
transcript.pyannote[593].end 4137.39284375
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 4139.23221875
transcript.pyannote[594].end 4140.02534375
transcript.pyannote[595].speaker SPEAKER_14
transcript.pyannote[595].start 4140.02534375
transcript.pyannote[595].end 4140.22784375
transcript.pyannote[596].speaker SPEAKER_10
transcript.pyannote[596].start 4140.22784375
transcript.pyannote[596].end 4140.41346875
transcript.pyannote[597].speaker SPEAKER_14
transcript.pyannote[597].start 4140.41346875
transcript.pyannote[597].end 4146.15096875
transcript.pyannote[598].speaker SPEAKER_14
transcript.pyannote[598].start 4146.58971875
transcript.pyannote[598].end 4150.31909375
transcript.pyannote[599].speaker SPEAKER_14
transcript.pyannote[599].start 4151.12909375
transcript.pyannote[599].end 4158.13221875
transcript.pyannote[600].speaker SPEAKER_14
transcript.pyannote[600].start 4158.43596875
transcript.pyannote[600].end 4161.92909375
transcript.pyannote[601].speaker SPEAKER_14
transcript.pyannote[601].start 4162.82346875
transcript.pyannote[601].end 4163.95409375
transcript.pyannote[602].speaker SPEAKER_14
transcript.pyannote[602].start 4164.64596875
transcript.pyannote[602].end 4166.92409375
transcript.pyannote[603].speaker SPEAKER_14
transcript.pyannote[603].start 4167.44721875
transcript.pyannote[603].end 4173.65721875
transcript.pyannote[604].speaker SPEAKER_14
transcript.pyannote[604].start 4174.24784375
transcript.pyannote[604].end 4176.37409375
transcript.pyannote[605].speaker SPEAKER_14
transcript.pyannote[605].start 4177.47096875
transcript.pyannote[605].end 4180.62659375
transcript.pyannote[606].speaker SPEAKER_14
transcript.pyannote[606].start 4181.31846875
transcript.pyannote[606].end 4183.09034375
transcript.pyannote[607].speaker SPEAKER_14
transcript.pyannote[607].start 4183.73159375
transcript.pyannote[607].end 4186.54971875
transcript.pyannote[608].speaker SPEAKER_14
transcript.pyannote[608].start 4187.52846875
transcript.pyannote[608].end 4190.65034375
transcript.pyannote[609].speaker SPEAKER_14
transcript.pyannote[609].start 4191.13971875
transcript.pyannote[609].end 4200.99471875
transcript.pyannote[610].speaker SPEAKER_10
transcript.pyannote[610].start 4201.65284375
transcript.pyannote[610].end 4201.72034375
transcript.pyannote[611].speaker SPEAKER_14
transcript.pyannote[611].start 4201.72034375
transcript.pyannote[611].end 4204.30221875
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 4204.99409375
transcript.pyannote[612].end 4205.82096875
transcript.pyannote[613].speaker SPEAKER_10
transcript.pyannote[613].start 4206.69846875
transcript.pyannote[613].end 4207.67721875
transcript.pyannote[614].speaker SPEAKER_14
transcript.pyannote[614].start 4207.60971875
transcript.pyannote[614].end 4211.42346875
transcript.pyannote[615].speaker SPEAKER_10
transcript.pyannote[615].start 4211.79471875
transcript.pyannote[615].end 4214.83221875
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 4213.65096875
transcript.pyannote[616].end 4216.97534375
transcript.pyannote[617].speaker SPEAKER_10
transcript.pyannote[617].start 4216.09784375
transcript.pyannote[617].end 4216.75596875
transcript.pyannote[618].speaker SPEAKER_10
transcript.pyannote[618].start 4216.97534375
transcript.pyannote[618].end 4219.00034375
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 4218.71346875
transcript.pyannote[619].end 4225.66596875
transcript.pyannote[620].speaker SPEAKER_14
transcript.pyannote[620].start 4225.90221875
transcript.pyannote[620].end 4227.97784375
transcript.pyannote[621].speaker SPEAKER_10
transcript.pyannote[621].start 4227.97784375
transcript.pyannote[621].end 4229.37846875
transcript.pyannote[622].speaker SPEAKER_14
transcript.pyannote[622].start 4228.24784375
transcript.pyannote[622].end 4231.09971875
transcript.pyannote[623].speaker SPEAKER_14
transcript.pyannote[623].start 4231.82534375
transcript.pyannote[623].end 4234.47471875
transcript.pyannote[624].speaker SPEAKER_14
transcript.pyannote[624].start 4235.33534375
transcript.pyannote[624].end 4236.22971875
transcript.pyannote[625].speaker SPEAKER_10
transcript.pyannote[625].start 4235.65596875
transcript.pyannote[625].end 4236.21284375
transcript.pyannote[626].speaker SPEAKER_10
transcript.pyannote[626].start 4236.22971875
transcript.pyannote[626].end 4236.75284375
transcript.pyannote[627].speaker SPEAKER_14
transcript.pyannote[627].start 4236.75284375
transcript.pyannote[627].end 4236.78659375
transcript.pyannote[628].speaker SPEAKER_10
transcript.pyannote[628].start 4236.78659375
transcript.pyannote[628].end 4236.85409375
transcript.pyannote[629].speaker SPEAKER_14
transcript.pyannote[629].start 4236.85409375
transcript.pyannote[629].end 4236.93846875
transcript.pyannote[630].speaker SPEAKER_10
transcript.pyannote[630].start 4236.93846875
transcript.pyannote[630].end 4237.02284375
transcript.pyannote[631].speaker SPEAKER_14
transcript.pyannote[631].start 4237.02284375
transcript.pyannote[631].end 4237.07346875
transcript.pyannote[632].speaker SPEAKER_10
transcript.pyannote[632].start 4237.07346875
transcript.pyannote[632].end 4237.95096875
transcript.pyannote[633].speaker SPEAKER_14
transcript.pyannote[633].start 4237.95096875
transcript.pyannote[633].end 4241.78159375
transcript.pyannote[634].speaker SPEAKER_10
transcript.pyannote[634].start 4242.94596875
transcript.pyannote[634].end 4243.57034375
transcript.pyannote[635].speaker SPEAKER_14
transcript.pyannote[635].start 4243.57034375
transcript.pyannote[635].end 4244.36346875
transcript.pyannote[636].speaker SPEAKER_10
transcript.pyannote[636].start 4243.60409375
transcript.pyannote[636].end 4243.70534375
transcript.pyannote[637].speaker SPEAKER_14
transcript.pyannote[637].start 4245.20721875
transcript.pyannote[637].end 4246.97909375
transcript.pyannote[638].speaker SPEAKER_14
transcript.pyannote[638].start 4248.26159375
transcript.pyannote[638].end 4249.44284375
transcript.pyannote[639].speaker SPEAKER_14
transcript.pyannote[639].start 4250.99534375
transcript.pyannote[639].end 4252.19346875
transcript.pyannote[640].speaker SPEAKER_14
transcript.pyannote[640].start 4253.08784375
transcript.pyannote[640].end 4256.47971875
transcript.pyannote[641].speaker SPEAKER_14
transcript.pyannote[641].start 4258.01534375
transcript.pyannote[641].end 4258.90971875
transcript.pyannote[642].speaker SPEAKER_14
transcript.pyannote[642].start 4259.66909375
transcript.pyannote[642].end 4261.01909375
transcript.pyannote[643].speaker SPEAKER_14
transcript.pyannote[643].start 4261.72784375
transcript.pyannote[643].end 4261.74471875
transcript.pyannote[644].speaker SPEAKER_07
transcript.pyannote[644].start 4261.74471875
transcript.pyannote[644].end 4262.63909375
transcript.pyannote[645].speaker SPEAKER_14
transcript.pyannote[645].start 4262.41971875
transcript.pyannote[645].end 4262.67284375
transcript.pyannote[646].speaker SPEAKER_07
transcript.pyannote[646].start 4262.67284375
transcript.pyannote[646].end 4270.01346875
transcript.pyannote[647].speaker SPEAKER_14
transcript.pyannote[647].start 4263.28034375
transcript.pyannote[647].end 4263.70221875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 4267.39784375
transcript.pyannote[648].end 4269.25409375
transcript.pyannote[649].speaker SPEAKER_14
transcript.pyannote[649].start 4270.01346875
transcript.pyannote[649].end 4270.03034375
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 4271.73471875
transcript.pyannote[650].end 4277.64096875
transcript.pyannote[651].speaker SPEAKER_23
transcript.pyannote[651].start 4276.78034375
transcript.pyannote[651].end 4278.24846875
transcript.pyannote[652].speaker SPEAKER_14
transcript.pyannote[652].start 4278.24846875
transcript.pyannote[652].end 4280.37471875
transcript.pyannote[653].speaker SPEAKER_14
transcript.pyannote[653].start 4280.69534375
transcript.pyannote[653].end 4282.21409375
transcript.pyannote[654].speaker SPEAKER_14
transcript.pyannote[654].start 4283.09159375
transcript.pyannote[654].end 4285.40346875
transcript.pyannote[655].speaker SPEAKER_23
transcript.pyannote[655].start 4284.47534375
transcript.pyannote[655].end 4289.36909375
transcript.pyannote[656].speaker SPEAKER_23
transcript.pyannote[656].start 4289.41971875
transcript.pyannote[656].end 4289.43659375
transcript.pyannote[657].speaker SPEAKER_23
transcript.pyannote[657].start 4289.52096875
transcript.pyannote[657].end 4289.99346875
transcript.pyannote[658].speaker SPEAKER_14
transcript.pyannote[658].start 4289.99346875
transcript.pyannote[658].end 4290.88784375
transcript.pyannote[659].speaker SPEAKER_23
transcript.pyannote[659].start 4290.07784375
transcript.pyannote[659].end 4290.97221875
transcript.pyannote[660].speaker SPEAKER_14
transcript.pyannote[660].start 4290.97221875
transcript.pyannote[660].end 4294.71846875
transcript.pyannote[661].speaker SPEAKER_23
transcript.pyannote[661].start 4291.00596875
transcript.pyannote[661].end 4291.22534375
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 4295.07284375
transcript.pyannote[662].end 4295.79846875
transcript.pyannote[663].speaker SPEAKER_14
transcript.pyannote[663].start 4295.96721875
transcript.pyannote[663].end 4299.00471875
transcript.pyannote[664].speaker SPEAKER_14
transcript.pyannote[664].start 4300.03409375
transcript.pyannote[664].end 4301.78909375
transcript.pyannote[665].speaker SPEAKER_14
transcript.pyannote[665].start 4303.22346875
transcript.pyannote[665].end 4307.17221875
transcript.pyannote[666].speaker SPEAKER_14
transcript.pyannote[666].start 4307.86409375
transcript.pyannote[666].end 4310.07471875
transcript.pyannote[667].speaker SPEAKER_10
transcript.pyannote[667].start 4310.81721875
transcript.pyannote[667].end 4316.97659375
transcript.pyannote[668].speaker SPEAKER_14
transcript.pyannote[668].start 4316.40284375
transcript.pyannote[668].end 4319.65971875
transcript.pyannote[669].speaker SPEAKER_10
transcript.pyannote[669].start 4319.18721875
transcript.pyannote[669].end 4319.23784375
transcript.pyannote[670].speaker SPEAKER_10
transcript.pyannote[670].start 4319.27159375
transcript.pyannote[670].end 4319.35596875
transcript.pyannote[671].speaker SPEAKER_14
transcript.pyannote[671].start 4319.89596875
transcript.pyannote[671].end 4322.08971875
transcript.pyannote[672].speaker SPEAKER_10
transcript.pyannote[672].start 4322.83221875
transcript.pyannote[672].end 4323.94596875
transcript.pyannote[673].speaker SPEAKER_14
transcript.pyannote[673].start 4323.86159375
transcript.pyannote[673].end 4331.77596875
transcript.pyannote[674].speaker SPEAKER_10
transcript.pyannote[674].start 4331.96159375
transcript.pyannote[674].end 4333.61534375
transcript.pyannote[675].speaker SPEAKER_14
transcript.pyannote[675].start 4333.61534375
transcript.pyannote[675].end 4337.27721875
transcript.pyannote[676].speaker SPEAKER_10
transcript.pyannote[676].start 4333.64909375
transcript.pyannote[676].end 4333.91909375
transcript.pyannote[677].speaker SPEAKER_10
transcript.pyannote[677].start 4337.27721875
transcript.pyannote[677].end 4337.59784375
transcript.pyannote[678].speaker SPEAKER_14
transcript.pyannote[678].start 4338.12096875
transcript.pyannote[678].end 4338.81284375
transcript.pyannote[679].speaker SPEAKER_14
transcript.pyannote[679].start 4339.84221875
transcript.pyannote[679].end 4341.86721875
transcript.pyannote[680].speaker SPEAKER_10
transcript.pyannote[680].start 4342.37346875
transcript.pyannote[680].end 4346.91284375
transcript.pyannote[681].speaker SPEAKER_13
transcript.pyannote[681].start 4346.96346875
transcript.pyannote[681].end 4347.40221875
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 4347.40221875
transcript.pyannote[682].end 4350.35534375
transcript.pyannote[683].speaker SPEAKER_13
transcript.pyannote[683].start 4351.41846875
transcript.pyannote[683].end 4354.52346875
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 4354.64159375
transcript.pyannote[684].end 4356.48096875
transcript.pyannote[685].speaker SPEAKER_13
transcript.pyannote[685].start 4356.48096875
transcript.pyannote[685].end 4356.73409375
transcript.pyannote[686].speaker SPEAKER_10
transcript.pyannote[686].start 4356.73409375
transcript.pyannote[686].end 4363.87221875
transcript.pyannote[687].speaker SPEAKER_10
transcript.pyannote[687].start 4364.44596875
transcript.pyannote[687].end 4365.03659375
transcript.pyannote[688].speaker SPEAKER_14
transcript.pyannote[688].start 4365.03659375
transcript.pyannote[688].end 4366.77471875
transcript.pyannote[689].speaker SPEAKER_10
transcript.pyannote[689].start 4366.77471875
transcript.pyannote[689].end 4366.80846875
transcript.pyannote[690].speaker SPEAKER_14
transcript.pyannote[690].start 4366.80846875
transcript.pyannote[690].end 4366.82534375
transcript.pyannote[691].speaker SPEAKER_14
transcript.pyannote[691].start 4366.92659375
transcript.pyannote[691].end 4367.90534375
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 4368.51284375
transcript.pyannote[692].end 4369.37346875
transcript.pyannote[693].speaker SPEAKER_14
transcript.pyannote[693].start 4369.81221875
transcript.pyannote[693].end 4371.29721875
transcript.pyannote[694].speaker SPEAKER_14
transcript.pyannote[694].start 4371.58409375
transcript.pyannote[694].end 4373.33909375
transcript.pyannote[695].speaker SPEAKER_10
transcript.pyannote[695].start 4374.33471875
transcript.pyannote[695].end 4374.55409375
transcript.pyannote[696].speaker SPEAKER_14
transcript.pyannote[696].start 4374.55409375
transcript.pyannote[696].end 4375.92096875
transcript.pyannote[697].speaker SPEAKER_14
transcript.pyannote[697].start 4376.46096875
transcript.pyannote[697].end 4377.38909375
transcript.pyannote[698].speaker SPEAKER_14
transcript.pyannote[698].start 4380.25784375
transcript.pyannote[698].end 4402.53284375
transcript.pyannote[699].speaker SPEAKER_07
transcript.pyannote[699].start 4395.49596875
transcript.pyannote[699].end 4396.64346875
transcript.pyannote[700].speaker SPEAKER_07
transcript.pyannote[700].start 4398.73596875
transcript.pyannote[700].end 4401.08159375
transcript.pyannote[701].speaker SPEAKER_16
transcript.pyannote[701].start 4401.08159375
transcript.pyannote[701].end 4401.43596875
transcript.pyannote[702].speaker SPEAKER_07
transcript.pyannote[702].start 4401.43596875
transcript.pyannote[702].end 4401.48659375
transcript.pyannote[703].speaker SPEAKER_14
transcript.pyannote[703].start 4402.83659375
transcript.pyannote[703].end 4405.14846875
transcript.pyannote[704].speaker SPEAKER_14
transcript.pyannote[704].start 4405.68846875
transcript.pyannote[704].end 4407.02159375
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 4407.39284375
transcript.pyannote[705].end 4407.69659375
transcript.pyannote[706].speaker SPEAKER_23
transcript.pyannote[706].start 4407.64596875
transcript.pyannote[706].end 4407.67971875
transcript.pyannote[707].speaker SPEAKER_23
transcript.pyannote[707].start 4407.69659375
transcript.pyannote[707].end 4408.94534375
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 4408.10159375
transcript.pyannote[708].end 4411.83096875
transcript.pyannote[709].speaker SPEAKER_23
transcript.pyannote[709].start 4411.72971875
transcript.pyannote[709].end 4411.79721875
transcript.pyannote[710].speaker SPEAKER_23
transcript.pyannote[710].start 4411.83096875
transcript.pyannote[710].end 4412.35409375
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 4412.35409375
transcript.pyannote[711].end 4413.06284375
transcript.pyannote[712].speaker SPEAKER_23
transcript.pyannote[712].start 4412.60721875
transcript.pyannote[712].end 4416.10034375
transcript.pyannote[713].speaker SPEAKER_14
transcript.pyannote[713].start 4413.92346875
transcript.pyannote[713].end 4414.93596875
transcript.pyannote[714].speaker SPEAKER_14
transcript.pyannote[714].start 4416.57284375
transcript.pyannote[714].end 4418.05784375
transcript.pyannote[715].speaker SPEAKER_14
transcript.pyannote[715].start 4419.10409375
transcript.pyannote[715].end 4419.47534375
transcript.pyannote[716].speaker SPEAKER_14
transcript.pyannote[716].start 4420.35284375
transcript.pyannote[716].end 4423.55909375
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 4424.72346875
transcript.pyannote[717].end 4427.06909375
transcript.pyannote[718].speaker SPEAKER_14
transcript.pyannote[718].start 4427.74409375
transcript.pyannote[718].end 4429.17846875
transcript.pyannote[719].speaker SPEAKER_14
transcript.pyannote[719].start 4430.19096875
transcript.pyannote[719].end 4431.13596875
transcript.pyannote[720].speaker SPEAKER_14
transcript.pyannote[720].start 4431.18659375
transcript.pyannote[720].end 4431.57471875
transcript.pyannote[721].speaker SPEAKER_14
transcript.pyannote[721].start 4431.89534375
transcript.pyannote[721].end 4433.97096875
transcript.pyannote[722].speaker SPEAKER_14
transcript.pyannote[722].start 4435.11846875
transcript.pyannote[722].end 4437.39659375
transcript.pyannote[723].speaker SPEAKER_14
transcript.pyannote[723].start 4438.32471875
transcript.pyannote[723].end 4443.03284375
transcript.pyannote[724].speaker SPEAKER_14
transcript.pyannote[724].start 4444.18034375
transcript.pyannote[724].end 4446.01971875
transcript.pyannote[725].speaker SPEAKER_14
transcript.pyannote[725].start 4447.45409375
transcript.pyannote[725].end 4448.26409375
transcript.pyannote[726].speaker SPEAKER_14
transcript.pyannote[726].start 4449.51284375
transcript.pyannote[726].end 4453.30971875
transcript.pyannote[727].speaker SPEAKER_14
transcript.pyannote[727].start 4454.11971875
transcript.pyannote[727].end 4455.23346875
transcript.pyannote[728].speaker SPEAKER_14
transcript.pyannote[728].start 4456.24596875
transcript.pyannote[728].end 4459.24971875
transcript.pyannote[729].speaker SPEAKER_14
transcript.pyannote[729].start 4459.68846875
transcript.pyannote[729].end 4461.40971875
transcript.pyannote[730].speaker SPEAKER_14
transcript.pyannote[730].start 4462.35471875
transcript.pyannote[730].end 4464.86909375
transcript.pyannote[731].speaker SPEAKER_14
transcript.pyannote[731].start 4465.61159375
transcript.pyannote[731].end 4467.33284375
transcript.pyannote[732].speaker SPEAKER_14
transcript.pyannote[732].start 4468.48034375
transcript.pyannote[732].end 4470.57284375
transcript.pyannote[733].speaker SPEAKER_14
transcript.pyannote[733].start 4471.33221875
transcript.pyannote[733].end 4473.96471875
transcript.pyannote[734].speaker SPEAKER_14
transcript.pyannote[734].start 4475.38221875
transcript.pyannote[734].end 4483.60034375
transcript.pyannote[735].speaker SPEAKER_14
transcript.pyannote[735].start 4484.20784375
transcript.pyannote[735].end 4484.96721875
transcript.pyannote[736].speaker SPEAKER_14
transcript.pyannote[736].start 4485.23721875
transcript.pyannote[736].end 4486.57034375
transcript.pyannote[737].speaker SPEAKER_14
transcript.pyannote[737].start 4487.73471875
transcript.pyannote[737].end 4490.36721875
transcript.pyannote[738].speaker SPEAKER_14
transcript.pyannote[738].start 4491.81846875
transcript.pyannote[738].end 4492.67909375
transcript.pyannote[739].speaker SPEAKER_14
transcript.pyannote[739].start 4493.96159375
transcript.pyannote[739].end 4495.29471875
transcript.pyannote[740].speaker SPEAKER_14
transcript.pyannote[740].start 4495.64909375
transcript.pyannote[740].end 4500.98159375
transcript.pyannote[741].speaker SPEAKER_14
transcript.pyannote[741].start 4502.75346875
transcript.pyannote[741].end 4504.00221875
transcript.pyannote[742].speaker SPEAKER_14
transcript.pyannote[742].start 4504.81221875
transcript.pyannote[742].end 4510.02659375
transcript.pyannote[743].speaker SPEAKER_14
transcript.pyannote[743].start 4510.80284375
transcript.pyannote[743].end 4518.86909375
transcript.pyannote[744].speaker SPEAKER_14
transcript.pyannote[744].start 4519.79721875
transcript.pyannote[744].end 4521.83909375
transcript.pyannote[745].speaker SPEAKER_14
transcript.pyannote[745].start 4523.15534375
transcript.pyannote[745].end 4523.91471875
transcript.pyannote[746].speaker SPEAKER_14
transcript.pyannote[746].start 4527.12096875
transcript.pyannote[746].end 4533.11159375
transcript.pyannote[747].speaker SPEAKER_14
transcript.pyannote[747].start 4533.43221875
transcript.pyannote[747].end 4535.40659375
transcript.pyannote[748].speaker SPEAKER_14
transcript.pyannote[748].start 4536.77346875
transcript.pyannote[748].end 4539.42284375
transcript.pyannote[749].speaker SPEAKER_14
transcript.pyannote[749].start 4544.09721875
transcript.pyannote[749].end 4547.92784375
transcript.pyannote[750].speaker SPEAKER_14
transcript.pyannote[750].start 4548.41721875
transcript.pyannote[750].end 4553.85096875
transcript.pyannote[751].speaker SPEAKER_23
transcript.pyannote[751].start 4551.06659375
transcript.pyannote[751].end 4551.33659375
transcript.pyannote[752].speaker SPEAKER_00
transcript.pyannote[752].start 4551.33659375
transcript.pyannote[752].end 4551.35346875
transcript.pyannote[753].speaker SPEAKER_23
transcript.pyannote[753].start 4552.65284375
transcript.pyannote[753].end 4552.87221875
transcript.pyannote[754].speaker SPEAKER_23
transcript.pyannote[754].start 4552.99034375
transcript.pyannote[754].end 4553.32784375
transcript.pyannote[755].speaker SPEAKER_14
transcript.pyannote[755].start 4555.62284375
transcript.pyannote[755].end 4557.78284375
transcript.pyannote[756].speaker SPEAKER_14
transcript.pyannote[756].start 4558.60971875
transcript.pyannote[756].end 4560.41534375
transcript.pyannote[757].speaker SPEAKER_14
transcript.pyannote[757].start 4560.60096875
transcript.pyannote[757].end 4562.25471875
transcript.pyannote[758].speaker SPEAKER_14
transcript.pyannote[758].start 4563.11534375
transcript.pyannote[758].end 4563.99284375
transcript.pyannote[759].speaker SPEAKER_14
transcript.pyannote[759].start 4565.24159375
transcript.pyannote[759].end 4567.48596875
transcript.pyannote[760].speaker SPEAKER_14
transcript.pyannote[760].start 4567.99221875
transcript.pyannote[760].end 4569.10596875
transcript.pyannote[761].speaker SPEAKER_14
transcript.pyannote[761].start 4569.79784375
transcript.pyannote[761].end 4571.29971875
transcript.pyannote[762].speaker SPEAKER_14
transcript.pyannote[762].start 4571.92409375
transcript.pyannote[762].end 4573.44284375
transcript.pyannote[763].speaker SPEAKER_14
transcript.pyannote[763].start 4574.89409375
transcript.pyannote[763].end 4577.00346875
transcript.pyannote[764].speaker SPEAKER_14
transcript.pyannote[764].start 4577.61096875
transcript.pyannote[764].end 4578.96096875
transcript.pyannote[765].speaker SPEAKER_14
transcript.pyannote[765].start 4579.19721875
transcript.pyannote[765].end 4582.15034375
transcript.pyannote[766].speaker SPEAKER_14
transcript.pyannote[766].start 4585.52534375
transcript.pyannote[766].end 4588.96784375
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 4589.22096875
transcript.pyannote[767].end 4590.01409375
transcript.pyannote[768].speaker SPEAKER_14
transcript.pyannote[768].start 4591.75221875
transcript.pyannote[768].end 4592.61284375
transcript.pyannote[769].speaker SPEAKER_10
transcript.pyannote[769].start 4593.55784375
transcript.pyannote[769].end 4596.00471875
transcript.pyannote[770].speaker SPEAKER_14
transcript.pyannote[770].start 4596.00471875
transcript.pyannote[770].end 4596.19034375
transcript.pyannote[771].speaker SPEAKER_10
transcript.pyannote[771].start 4596.19034375
transcript.pyannote[771].end 4599.05909375
transcript.pyannote[772].speaker SPEAKER_14
transcript.pyannote[772].start 4596.69659375
transcript.pyannote[772].end 4598.67096875
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 4599.76784375
transcript.pyannote[773].end 4601.06721875
transcript.pyannote[774].speaker SPEAKER_14
transcript.pyannote[774].start 4601.99534375
transcript.pyannote[774].end 4603.05846875
transcript.pyannote[775].speaker SPEAKER_14
transcript.pyannote[775].start 4604.37471875
transcript.pyannote[775].end 4607.00721875
transcript.pyannote[776].speaker SPEAKER_14
transcript.pyannote[776].start 4608.66096875
transcript.pyannote[776].end 4609.99409375
transcript.pyannote[777].speaker SPEAKER_14
transcript.pyannote[777].start 4611.54659375
transcript.pyannote[777].end 4613.08221875
transcript.pyannote[778].speaker SPEAKER_14
transcript.pyannote[778].start 4613.70659375
transcript.pyannote[778].end 4615.17471875
transcript.pyannote[779].speaker SPEAKER_14
transcript.pyannote[779].start 4616.77784375
transcript.pyannote[779].end 4618.93784375
transcript.pyannote[780].speaker SPEAKER_14
transcript.pyannote[780].start 4622.71784375
transcript.pyannote[780].end 4626.61596875
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 4622.76846875
transcript.pyannote[781].end 4622.83596875
transcript.pyannote[782].speaker SPEAKER_14
transcript.pyannote[782].start 4628.06721875
transcript.pyannote[782].end 4629.13034375
transcript.pyannote[783].speaker SPEAKER_10
transcript.pyannote[783].start 4629.75471875
transcript.pyannote[783].end 4635.42471875
transcript.pyannote[784].speaker SPEAKER_10
transcript.pyannote[784].start 4636.08284375
transcript.pyannote[784].end 4643.15346875
transcript.pyannote[785].speaker SPEAKER_14
transcript.pyannote[785].start 4643.15346875
transcript.pyannote[785].end 4643.22096875
transcript.pyannote[786].speaker SPEAKER_14
transcript.pyannote[786].start 4643.33909375
transcript.pyannote[786].end 4643.45721875
transcript.pyannote[787].speaker SPEAKER_10
transcript.pyannote[787].start 4643.45721875
transcript.pyannote[787].end 4643.62596875
transcript.pyannote[788].speaker SPEAKER_14
transcript.pyannote[788].start 4643.62596875
transcript.pyannote[788].end 4648.16534375
transcript.pyannote[789].speaker SPEAKER_14
transcript.pyannote[789].start 4648.62096875
transcript.pyannote[789].end 4650.15659375
transcript.pyannote[790].speaker SPEAKER_14
transcript.pyannote[790].start 4650.44346875
transcript.pyannote[790].end 4653.05909375
transcript.pyannote[791].speaker SPEAKER_14
transcript.pyannote[791].start 4654.18971875
transcript.pyannote[791].end 4657.37909375
transcript.pyannote[792].speaker SPEAKER_14
transcript.pyannote[792].start 4659.11721875
transcript.pyannote[792].end 4661.17596875
transcript.pyannote[793].speaker SPEAKER_14
transcript.pyannote[793].start 4663.03221875
transcript.pyannote[793].end 4668.12846875
transcript.pyannote[794].speaker SPEAKER_14
transcript.pyannote[794].start 4669.17471875
transcript.pyannote[794].end 4670.54159375
transcript.pyannote[795].speaker SPEAKER_14
transcript.pyannote[795].start 4672.24596875
transcript.pyannote[795].end 4674.01784375
transcript.pyannote[796].speaker SPEAKER_14
transcript.pyannote[796].start 4675.24971875
transcript.pyannote[796].end 4681.74659375
transcript.pyannote[797].speaker SPEAKER_14
transcript.pyannote[797].start 4683.02909375
transcript.pyannote[797].end 4684.31159375
transcript.pyannote[798].speaker SPEAKER_14
transcript.pyannote[798].start 4684.73346875
transcript.pyannote[798].end 4687.58534375
transcript.pyannote[799].speaker SPEAKER_14
transcript.pyannote[799].start 4688.53034375
transcript.pyannote[799].end 4690.42034375
transcript.pyannote[800].speaker SPEAKER_14
transcript.pyannote[800].start 4690.85909375
transcript.pyannote[800].end 4692.39471875
transcript.pyannote[801].speaker SPEAKER_14
transcript.pyannote[801].start 4693.60971875
transcript.pyannote[801].end 4694.84159375
transcript.pyannote[802].speaker SPEAKER_14
transcript.pyannote[802].start 4695.58409375
transcript.pyannote[802].end 4697.81159375
transcript.pyannote[803].speaker SPEAKER_14
transcript.pyannote[803].start 4698.87471875
transcript.pyannote[803].end 4704.03846875
transcript.pyannote[804].speaker SPEAKER_14
transcript.pyannote[804].start 4704.54471875
transcript.pyannote[804].end 4706.48534375
transcript.pyannote[805].speaker SPEAKER_14
transcript.pyannote[805].start 4706.99159375
transcript.pyannote[805].end 4720.44096875
transcript.pyannote[806].speaker SPEAKER_14
transcript.pyannote[806].start 4721.50409375
transcript.pyannote[806].end 4727.12346875
transcript.pyannote[807].speaker SPEAKER_14
transcript.pyannote[807].start 4727.57909375
transcript.pyannote[807].end 4731.83159375
transcript.pyannote[808].speaker SPEAKER_14
transcript.pyannote[808].start 4732.84409375
transcript.pyannote[808].end 4733.99159375
transcript.pyannote[809].speaker SPEAKER_14
transcript.pyannote[809].start 4734.93659375
transcript.pyannote[809].end 4736.72534375
transcript.pyannote[810].speaker SPEAKER_14
transcript.pyannote[810].start 4738.32846875
transcript.pyannote[810].end 4738.93596875
transcript.pyannote[811].speaker SPEAKER_14
transcript.pyannote[811].start 4739.32409375
transcript.pyannote[811].end 4739.34096875
transcript.pyannote[812].speaker SPEAKER_10
transcript.pyannote[812].start 4739.34096875
transcript.pyannote[812].end 4741.58534375
transcript.pyannote[813].speaker SPEAKER_10
transcript.pyannote[813].start 4741.88909375
transcript.pyannote[813].end 4746.02346875
transcript.pyannote[814].speaker SPEAKER_14
transcript.pyannote[814].start 4744.65659375
transcript.pyannote[814].end 4744.90971875
transcript.pyannote[815].speaker SPEAKER_14
transcript.pyannote[815].start 4746.02346875
transcript.pyannote[815].end 4746.37784375
transcript.pyannote[816].speaker SPEAKER_10
transcript.pyannote[816].start 4746.37784375
transcript.pyannote[816].end 4746.79971875
transcript.pyannote[817].speaker SPEAKER_14
transcript.pyannote[817].start 4746.39471875
transcript.pyannote[817].end 4746.71534375
transcript.pyannote[818].speaker SPEAKER_14
transcript.pyannote[818].start 4746.79971875
transcript.pyannote[818].end 4748.38596875
transcript.pyannote[819].speaker SPEAKER_10
transcript.pyannote[819].start 4748.38596875
transcript.pyannote[819].end 4748.41971875
transcript.pyannote[820].speaker SPEAKER_10
transcript.pyannote[820].start 4748.77409375
transcript.pyannote[820].end 4753.31346875
transcript.pyannote[821].speaker SPEAKER_14
transcript.pyannote[821].start 4752.82409375
transcript.pyannote[821].end 4753.51596875
transcript.pyannote[822].speaker SPEAKER_10
transcript.pyannote[822].start 4753.51596875
transcript.pyannote[822].end 4753.58346875
transcript.pyannote[823].speaker SPEAKER_14
transcript.pyannote[823].start 4753.58346875
transcript.pyannote[823].end 4753.65096875
transcript.pyannote[824].speaker SPEAKER_10
transcript.pyannote[824].start 4753.65096875
transcript.pyannote[824].end 4754.03909375
transcript.pyannote[825].speaker SPEAKER_14
transcript.pyannote[825].start 4754.03909375
transcript.pyannote[825].end 4755.32159375
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 4754.78159375
transcript.pyannote[826].end 4756.09784375
transcript.pyannote[827].speaker SPEAKER_14
transcript.pyannote[827].start 4755.99659375
transcript.pyannote[827].end 4758.17346875
transcript.pyannote[828].speaker SPEAKER_14
transcript.pyannote[828].start 4758.61221875
transcript.pyannote[828].end 4761.02534375
transcript.pyannote[829].speaker SPEAKER_14
transcript.pyannote[829].start 4761.78471875
transcript.pyannote[829].end 4762.54409375
transcript.pyannote[830].speaker SPEAKER_14
transcript.pyannote[830].start 4763.37096875
transcript.pyannote[830].end 4768.70346875
transcript.pyannote[831].speaker SPEAKER_06
transcript.pyannote[831].start 4772.78721875
transcript.pyannote[831].end 4773.83346875
transcript.pyannote[832].speaker SPEAKER_06
transcript.pyannote[832].start 4775.03159375
transcript.pyannote[832].end 4777.74846875
transcript.pyannote[833].speaker SPEAKER_19
transcript.pyannote[833].start 4781.12346875
transcript.pyannote[833].end 4784.97096875
transcript.pyannote[834].speaker SPEAKER_06
transcript.pyannote[834].start 4786.62471875
transcript.pyannote[834].end 4788.05909375
transcript.pyannote[835].speaker SPEAKER_06
transcript.pyannote[835].start 4788.68346875
transcript.pyannote[835].end 4790.48909375
transcript.pyannote[836].speaker SPEAKER_19
transcript.pyannote[836].start 4798.35284375
transcript.pyannote[836].end 4811.44784375
transcript.pyannote[837].speaker SPEAKER_19
transcript.pyannote[837].start 4811.97096875
transcript.pyannote[837].end 4816.03784375
transcript.pyannote[838].speaker SPEAKER_11
transcript.pyannote[838].start 4816.61159375
transcript.pyannote[838].end 4817.38784375
transcript.pyannote[839].speaker SPEAKER_11
transcript.pyannote[839].start 4817.55659375
transcript.pyannote[839].end 4819.86846875
transcript.pyannote[840].speaker SPEAKER_19
transcript.pyannote[840].start 4819.71659375
transcript.pyannote[840].end 4822.34909375
transcript.pyannote[841].speaker SPEAKER_19
transcript.pyannote[841].start 4822.51784375
transcript.pyannote[841].end 4829.84159375
transcript.pyannote[842].speaker SPEAKER_19
transcript.pyannote[842].start 4830.55034375
transcript.pyannote[842].end 4830.95534375
transcript.pyannote[843].speaker SPEAKER_19
transcript.pyannote[843].start 4831.69784375
transcript.pyannote[843].end 4846.39596875
transcript.pyannote[844].speaker SPEAKER_19
transcript.pyannote[844].start 4846.78409375
transcript.pyannote[844].end 4850.49659375
transcript.pyannote[845].speaker SPEAKER_19
transcript.pyannote[845].start 4850.63159375
transcript.pyannote[845].end 4852.62284375
transcript.pyannote[846].speaker SPEAKER_19
transcript.pyannote[846].start 4852.69034375
transcript.pyannote[846].end 4853.24721875
transcript.pyannote[847].speaker SPEAKER_19
transcript.pyannote[847].start 4853.44971875
transcript.pyannote[847].end 4856.14971875
transcript.pyannote[848].speaker SPEAKER_19
transcript.pyannote[848].start 4856.47034375
transcript.pyannote[848].end 4858.66409375
transcript.pyannote[849].speaker SPEAKER_19
transcript.pyannote[849].start 4859.23784375
transcript.pyannote[849].end 4884.76971875
transcript.pyannote[850].speaker SPEAKER_19
transcript.pyannote[850].start 4885.07346875
transcript.pyannote[850].end 4885.59659375
transcript.pyannote[851].speaker SPEAKER_19
transcript.pyannote[851].start 4886.18721875
transcript.pyannote[851].end 4888.68471875
transcript.pyannote[852].speaker SPEAKER_10
transcript.pyannote[852].start 4889.19096875
transcript.pyannote[852].end 4893.86534375
transcript.pyannote[853].speaker SPEAKER_10
transcript.pyannote[853].start 4894.42221875
transcript.pyannote[853].end 4895.45159375
transcript.pyannote[854].speaker SPEAKER_10
transcript.pyannote[854].start 4895.48534375
transcript.pyannote[854].end 4898.45534375
transcript.pyannote[855].speaker SPEAKER_19
transcript.pyannote[855].start 4898.64096875
transcript.pyannote[855].end 4903.28159375
transcript.pyannote[856].speaker SPEAKER_19
transcript.pyannote[856].start 4904.27721875
transcript.pyannote[856].end 4905.86346875
transcript.pyannote[857].speaker SPEAKER_19
transcript.pyannote[857].start 4906.38659375
transcript.pyannote[857].end 4917.57471875
transcript.pyannote[858].speaker SPEAKER_10
transcript.pyannote[858].start 4917.57471875
transcript.pyannote[858].end 4917.87846875
transcript.pyannote[859].speaker SPEAKER_19
transcript.pyannote[859].start 4917.87846875
transcript.pyannote[859].end 4917.89534375
transcript.pyannote[860].speaker SPEAKER_19
transcript.pyannote[860].start 4918.28346875
transcript.pyannote[860].end 4920.83159375
transcript.pyannote[861].speaker SPEAKER_10
transcript.pyannote[861].start 4920.59534375
transcript.pyannote[861].end 4920.78096875
transcript.pyannote[862].speaker SPEAKER_10
transcript.pyannote[862].start 4920.83159375
transcript.pyannote[862].end 4921.50659375
transcript.pyannote[863].speaker SPEAKER_19
transcript.pyannote[863].start 4921.50659375
transcript.pyannote[863].end 4938.61784375
transcript.pyannote[864].speaker SPEAKER_10
transcript.pyannote[864].start 4921.54034375
transcript.pyannote[864].end 4921.75971875
transcript.pyannote[865].speaker SPEAKER_19
transcript.pyannote[865].start 4939.14096875
transcript.pyannote[865].end 4943.12346875
transcript.pyannote[866].speaker SPEAKER_19
transcript.pyannote[866].start 4943.88284375
transcript.pyannote[866].end 4949.58659375
transcript.pyannote[867].speaker SPEAKER_19
transcript.pyannote[867].start 4949.68784375
transcript.pyannote[867].end 4951.72971875
transcript.pyannote[868].speaker SPEAKER_19
transcript.pyannote[868].start 4952.47221875
transcript.pyannote[868].end 4962.61409375
transcript.pyannote[869].speaker SPEAKER_19
transcript.pyannote[869].start 4962.71534375
transcript.pyannote[869].end 4972.03034375
transcript.pyannote[870].speaker SPEAKER_19
transcript.pyannote[870].start 4972.31721875
transcript.pyannote[870].end 4978.35846875
transcript.pyannote[871].speaker SPEAKER_19
transcript.pyannote[871].start 4978.47659375
transcript.pyannote[871].end 4979.37096875
transcript.pyannote[872].speaker SPEAKER_19
transcript.pyannote[872].start 4979.72534375
transcript.pyannote[872].end 4993.51221875
transcript.pyannote[873].speaker SPEAKER_19
transcript.pyannote[873].start 4994.10284375
transcript.pyannote[873].end 4994.74409375
transcript.pyannote[874].speaker SPEAKER_19
transcript.pyannote[874].start 4995.04784375
transcript.pyannote[874].end 5005.89846875
transcript.pyannote[875].speaker SPEAKER_19
transcript.pyannote[875].start 5006.25284375
transcript.pyannote[875].end 5007.65346875
transcript.pyannote[876].speaker SPEAKER_19
transcript.pyannote[876].start 5008.15971875
transcript.pyannote[876].end 5018.57159375
transcript.pyannote[877].speaker SPEAKER_19
transcript.pyannote[877].start 5019.12846875
transcript.pyannote[877].end 5019.44909375
transcript.pyannote[878].speaker SPEAKER_19
transcript.pyannote[878].start 5020.30971875
transcript.pyannote[878].end 5023.70159375
transcript.pyannote[879].speaker SPEAKER_19
transcript.pyannote[879].start 5024.44409375
transcript.pyannote[879].end 5028.89909375
transcript.pyannote[880].speaker SPEAKER_19
transcript.pyannote[880].start 5029.62471875
transcript.pyannote[880].end 5031.09284375
transcript.pyannote[881].speaker SPEAKER_19
transcript.pyannote[881].start 5031.10971875
transcript.pyannote[881].end 5044.25534375
transcript.pyannote[882].speaker SPEAKER_19
transcript.pyannote[882].start 5044.99784375
transcript.pyannote[882].end 5048.86221875
transcript.pyannote[883].speaker SPEAKER_19
transcript.pyannote[883].start 5049.40221875
transcript.pyannote[883].end 5051.22471875
transcript.pyannote[884].speaker SPEAKER_19
transcript.pyannote[884].start 5051.37659375
transcript.pyannote[884].end 5066.74971875
transcript.pyannote[885].speaker SPEAKER_19
transcript.pyannote[885].start 5067.37409375
transcript.pyannote[885].end 5080.03034375
transcript.pyannote[886].speaker SPEAKER_19
transcript.pyannote[886].start 5080.24971875
transcript.pyannote[886].end 5082.24096875
transcript.pyannote[887].speaker SPEAKER_19
transcript.pyannote[887].start 5083.11846875
transcript.pyannote[887].end 5083.67534375
transcript.pyannote[888].speaker SPEAKER_19
transcript.pyannote[888].start 5084.43471875
transcript.pyannote[888].end 5085.34596875
transcript.pyannote[889].speaker SPEAKER_19
transcript.pyannote[889].start 5085.59909375
transcript.pyannote[889].end 5086.76346875
transcript.pyannote[890].speaker SPEAKER_19
transcript.pyannote[890].start 5087.79284375
transcript.pyannote[890].end 5088.78846875
transcript.pyannote[891].speaker SPEAKER_19
transcript.pyannote[891].start 5089.19346875
transcript.pyannote[891].end 5098.40721875
transcript.pyannote[892].speaker SPEAKER_10
transcript.pyannote[892].start 5099.50409375
transcript.pyannote[892].end 5108.41409375
transcript.pyannote[893].speaker SPEAKER_19
transcript.pyannote[893].start 5099.60534375
transcript.pyannote[893].end 5099.72346875
transcript.pyannote[894].speaker SPEAKER_19
transcript.pyannote[894].start 5107.73909375
transcript.pyannote[894].end 5112.24471875
transcript.pyannote[895].speaker SPEAKER_19
transcript.pyannote[895].start 5112.48096875
transcript.pyannote[895].end 5118.10034375
transcript.pyannote[896].speaker SPEAKER_19
transcript.pyannote[896].start 5118.65721875
transcript.pyannote[896].end 5118.99471875
transcript.pyannote[897].speaker SPEAKER_19
transcript.pyannote[897].start 5119.39971875
transcript.pyannote[897].end 5128.46159375
transcript.pyannote[898].speaker SPEAKER_10
transcript.pyannote[898].start 5129.69346875
transcript.pyannote[898].end 5133.20346875
transcript.pyannote[899].speaker SPEAKER_10
transcript.pyannote[899].start 5133.72659375
transcript.pyannote[899].end 5138.29971875
transcript.pyannote[900].speaker SPEAKER_10
transcript.pyannote[900].start 5138.36721875
transcript.pyannote[900].end 5139.97034375
transcript.pyannote[901].speaker SPEAKER_19
transcript.pyannote[901].start 5139.97034375
transcript.pyannote[901].end 5139.98721875
transcript.pyannote[902].speaker SPEAKER_19
transcript.pyannote[902].start 5140.44284375
transcript.pyannote[902].end 5166.36284375
transcript.pyannote[903].speaker SPEAKER_19
transcript.pyannote[903].start 5166.95346875
transcript.pyannote[903].end 5175.69471875
transcript.pyannote[904].speaker SPEAKER_19
transcript.pyannote[904].start 5175.96471875
transcript.pyannote[904].end 5179.17096875
transcript.pyannote[905].speaker SPEAKER_19
transcript.pyannote[905].start 5179.72784375
transcript.pyannote[905].end 5203.04909375
transcript.pyannote[906].speaker SPEAKER_19
transcript.pyannote[906].start 5204.70284375
transcript.pyannote[906].end 5204.77034375
transcript.pyannote[907].speaker SPEAKER_16
transcript.pyannote[907].start 5204.77034375
transcript.pyannote[907].end 5204.83784375
transcript.pyannote[908].speaker SPEAKER_19
transcript.pyannote[908].start 5204.83784375
transcript.pyannote[908].end 5225.91471875
transcript.pyannote[909].speaker SPEAKER_19
transcript.pyannote[909].start 5226.48846875
transcript.pyannote[909].end 5228.37846875
transcript.pyannote[910].speaker SPEAKER_19
transcript.pyannote[910].start 5228.88471875
transcript.pyannote[910].end 5239.34721875
transcript.pyannote[911].speaker SPEAKER_19
transcript.pyannote[911].start 5240.02221875
transcript.pyannote[911].end 5241.54096875
transcript.pyannote[912].speaker SPEAKER_19
transcript.pyannote[912].start 5242.11471875
transcript.pyannote[912].end 5242.41846875
transcript.pyannote[913].speaker SPEAKER_19
transcript.pyannote[913].start 5243.92034375
transcript.pyannote[913].end 5246.04659375
transcript.pyannote[914].speaker SPEAKER_19
transcript.pyannote[914].start 5246.23221875
transcript.pyannote[914].end 5248.59471875
transcript.pyannote[915].speaker SPEAKER_19
transcript.pyannote[915].start 5248.96596875
transcript.pyannote[915].end 5256.45846875
transcript.pyannote[916].speaker SPEAKER_19
transcript.pyannote[916].start 5256.84659375
transcript.pyannote[916].end 5267.61284375
transcript.pyannote[917].speaker SPEAKER_19
transcript.pyannote[917].start 5269.18221875
transcript.pyannote[917].end 5269.60409375
transcript.pyannote[918].speaker SPEAKER_19
transcript.pyannote[918].start 5270.38034375
transcript.pyannote[918].end 5271.56159375
transcript.pyannote[919].speaker SPEAKER_19
transcript.pyannote[919].start 5271.64596875
transcript.pyannote[919].end 5273.50221875
transcript.pyannote[920].speaker SPEAKER_19
transcript.pyannote[920].start 5274.12659375
transcript.pyannote[920].end 5274.58221875
transcript.pyannote[921].speaker SPEAKER_19
transcript.pyannote[921].start 5275.27409375
transcript.pyannote[921].end 5283.18846875
transcript.pyannote[922].speaker SPEAKER_07
transcript.pyannote[922].start 5283.76221875
transcript.pyannote[922].end 5288.84159375
transcript.pyannote[923].speaker SPEAKER_19
transcript.pyannote[923].start 5287.94721875
transcript.pyannote[923].end 5290.07346875
transcript.pyannote[924].speaker SPEAKER_19
transcript.pyannote[924].start 5290.56284375
transcript.pyannote[924].end 5291.67659375
transcript.pyannote[925].speaker SPEAKER_02
transcript.pyannote[925].start 5298.08909375
transcript.pyannote[925].end 5300.75534375
transcript.pyannote[926].speaker SPEAKER_19
transcript.pyannote[926].start 5300.75534375
transcript.pyannote[926].end 5306.50971875
transcript.pyannote[927].speaker SPEAKER_02
transcript.pyannote[927].start 5300.77221875
transcript.pyannote[927].end 5301.22784375
transcript.pyannote[928].speaker SPEAKER_02
transcript.pyannote[928].start 5301.26159375
transcript.pyannote[928].end 5301.29534375
transcript.pyannote[929].speaker SPEAKER_19
transcript.pyannote[929].start 5307.30284375
transcript.pyannote[929].end 5336.02409375
transcript.pyannote[930].speaker SPEAKER_07
transcript.pyannote[930].start 5336.73284375
transcript.pyannote[930].end 5361.97784375
transcript.pyannote[931].speaker SPEAKER_19
transcript.pyannote[931].start 5357.47221875
transcript.pyannote[931].end 5357.84346875
transcript.pyannote[932].speaker SPEAKER_19
transcript.pyannote[932].start 5361.40409375
transcript.pyannote[932].end 5366.02784375
transcript.pyannote[933].speaker SPEAKER_19
transcript.pyannote[933].start 5366.19659375
transcript.pyannote[933].end 5369.01471875
transcript.pyannote[934].speaker SPEAKER_19
transcript.pyannote[934].start 5369.57159375
transcript.pyannote[934].end 5388.97784375
transcript.pyannote[935].speaker SPEAKER_19
transcript.pyannote[935].start 5389.11284375
transcript.pyannote[935].end 5408.48534375
transcript.pyannote[936].speaker SPEAKER_19
transcript.pyannote[936].start 5409.05909375
transcript.pyannote[936].end 5409.53159375
transcript.pyannote[937].speaker SPEAKER_19
transcript.pyannote[937].start 5409.98721875
transcript.pyannote[937].end 5433.98346875
transcript.pyannote[938].speaker SPEAKER_19
transcript.pyannote[938].start 5434.74284375
transcript.pyannote[938].end 5460.98346875
transcript.pyannote[939].speaker SPEAKER_19
transcript.pyannote[939].start 5461.11846875
transcript.pyannote[939].end 5462.04659375
transcript.pyannote[940].speaker SPEAKER_19
transcript.pyannote[940].start 5462.14784375
transcript.pyannote[940].end 5476.93034375
transcript.pyannote[941].speaker SPEAKER_19
transcript.pyannote[941].start 5477.57159375
transcript.pyannote[941].end 5488.50659375
transcript.pyannote[942].speaker SPEAKER_19
transcript.pyannote[942].start 5488.77659375
transcript.pyannote[942].end 5491.12221875
transcript.pyannote[943].speaker SPEAKER_19
transcript.pyannote[943].start 5491.62846875
transcript.pyannote[943].end 5507.92971875
transcript.pyannote[944].speaker SPEAKER_19
transcript.pyannote[944].start 5508.55409375
transcript.pyannote[944].end 5510.08971875
transcript.pyannote[945].speaker SPEAKER_19
transcript.pyannote[945].start 5510.79846875
transcript.pyannote[945].end 5517.68346875
transcript.pyannote[946].speaker SPEAKER_19
transcript.pyannote[946].start 5518.02096875
transcript.pyannote[946].end 5519.43846875
transcript.pyannote[947].speaker SPEAKER_19
transcript.pyannote[947].start 5519.72534375
transcript.pyannote[947].end 5523.40409375
transcript.pyannote[948].speaker SPEAKER_19
transcript.pyannote[948].start 5523.84284375
transcript.pyannote[948].end 5528.88846875
transcript.pyannote[949].speaker SPEAKER_19
transcript.pyannote[949].start 5529.51284375
transcript.pyannote[949].end 5533.22534375
transcript.pyannote[950].speaker SPEAKER_19
transcript.pyannote[950].start 5533.81596875
transcript.pyannote[950].end 5544.14346875
transcript.pyannote[951].speaker SPEAKER_19
transcript.pyannote[951].start 5544.59909375
transcript.pyannote[951].end 5549.49284375
transcript.pyannote[952].speaker SPEAKER_19
transcript.pyannote[952].start 5549.71221875
transcript.pyannote[952].end 5553.42471875
transcript.pyannote[953].speaker SPEAKER_19
transcript.pyannote[953].start 5553.81284375
transcript.pyannote[953].end 5560.20846875
transcript.pyannote[954].speaker SPEAKER_06
transcript.pyannote[954].start 5563.29659375
transcript.pyannote[954].end 5567.14409375
transcript.pyannote[955].speaker SPEAKER_03
transcript.pyannote[955].start 5577.92721875
transcript.pyannote[955].end 5581.08284375
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 5586.82034375
transcript.pyannote[956].end 5588.74409375
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 5590.44846875
transcript.pyannote[957].end 5664.12471875
transcript.pyannote[958].speaker SPEAKER_10
transcript.pyannote[958].start 5664.12471875
transcript.pyannote[958].end 5664.69846875
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 5664.69846875
transcript.pyannote[959].end 5682.06284375
transcript.pyannote[960].speaker SPEAKER_03
transcript.pyannote[960].start 5682.29909375
transcript.pyannote[960].end 5693.92596875
transcript.pyannote[961].speaker SPEAKER_10
transcript.pyannote[961].start 5693.92596875
transcript.pyannote[961].end 5694.31409375
transcript.pyannote[962].speaker SPEAKER_03
transcript.pyannote[962].start 5694.31409375
transcript.pyannote[962].end 5705.89034375
transcript.pyannote[963].speaker SPEAKER_03
transcript.pyannote[963].start 5706.36284375
transcript.pyannote[963].end 5714.44596875
transcript.pyannote[964].speaker SPEAKER_16
transcript.pyannote[964].start 5714.44596875
transcript.pyannote[964].end 5714.76659375
transcript.pyannote[965].speaker SPEAKER_03
transcript.pyannote[965].start 5714.56409375
transcript.pyannote[965].end 5727.94596875
transcript.pyannote[966].speaker SPEAKER_10
transcript.pyannote[966].start 5728.97534375
transcript.pyannote[966].end 5730.37596875
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 5729.93721875
transcript.pyannote[967].end 5762.65784375
transcript.pyannote[968].speaker SPEAKER_10
transcript.pyannote[968].start 5757.46034375
transcript.pyannote[968].end 5757.86534375
transcript.pyannote[969].speaker SPEAKER_10
transcript.pyannote[969].start 5762.86034375
transcript.pyannote[969].end 5768.02409375
transcript.pyannote[970].speaker SPEAKER_05
transcript.pyannote[970].start 5768.02409375
transcript.pyannote[970].end 5768.37846875
transcript.pyannote[971].speaker SPEAKER_10
transcript.pyannote[971].start 5768.29409375
transcript.pyannote[971].end 5769.28971875
transcript.pyannote[972].speaker SPEAKER_10
transcript.pyannote[972].start 5769.66096875
transcript.pyannote[972].end 5778.82409375
transcript.pyannote[973].speaker SPEAKER_10
transcript.pyannote[973].start 5779.09409375
transcript.pyannote[973].end 5800.67721875
transcript.pyannote[974].speaker SPEAKER_03
transcript.pyannote[974].start 5800.49159375
transcript.pyannote[974].end 5806.34721875
transcript.pyannote[975].speaker SPEAKER_10
transcript.pyannote[975].start 5801.53784375
transcript.pyannote[975].end 5803.25909375
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 5804.71034375
transcript.pyannote[976].end 5805.33471875
transcript.pyannote[977].speaker SPEAKER_10
transcript.pyannote[977].start 5805.38534375
transcript.pyannote[977].end 5828.03159375
transcript.pyannote[978].speaker SPEAKER_03
transcript.pyannote[978].start 5828.03159375
transcript.pyannote[978].end 5828.53784375
transcript.pyannote[979].speaker SPEAKER_10
transcript.pyannote[979].start 5828.53784375
transcript.pyannote[979].end 5828.55471875
transcript.pyannote[980].speaker SPEAKER_03
transcript.pyannote[980].start 5829.01034375
transcript.pyannote[980].end 5841.32909375
transcript.pyannote[981].speaker SPEAKER_10
transcript.pyannote[981].start 5841.32909375
transcript.pyannote[981].end 5841.95346875
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 5841.95346875
transcript.pyannote[982].end 5841.97034375
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 5841.97034375
transcript.pyannote[983].end 5842.03784375
transcript.pyannote[984].speaker SPEAKER_03
transcript.pyannote[984].start 5842.03784375
transcript.pyannote[984].end 5844.97409375
transcript.pyannote[985].speaker SPEAKER_10
transcript.pyannote[985].start 5844.97409375
transcript.pyannote[985].end 5845.02471875
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 5845.02471875
transcript.pyannote[986].end 5853.31034375
transcript.pyannote[987].speaker SPEAKER_10
transcript.pyannote[987].start 5853.24284375
transcript.pyannote[987].end 5853.96846875
transcript.pyannote[988].speaker SPEAKER_03
transcript.pyannote[988].start 5853.95159375
transcript.pyannote[988].end 5857.96784375
transcript.pyannote[989].speaker SPEAKER_10
transcript.pyannote[989].start 5857.96784375
transcript.pyannote[989].end 5858.18721875
transcript.pyannote[990].speaker SPEAKER_03
transcript.pyannote[990].start 5858.18721875
transcript.pyannote[990].end 5893.30409375
transcript.pyannote[991].speaker SPEAKER_10
transcript.pyannote[991].start 5862.43971875
transcript.pyannote[991].end 5862.99659375
transcript.pyannote[992].speaker SPEAKER_22
transcript.pyannote[992].start 5892.13971875
transcript.pyannote[992].end 5892.25784375
transcript.pyannote[993].speaker SPEAKER_22
transcript.pyannote[993].start 5894.21534375
transcript.pyannote[993].end 5894.28284375
transcript.pyannote[994].speaker SPEAKER_03
transcript.pyannote[994].start 5894.48534375
transcript.pyannote[994].end 5894.53596875
transcript.pyannote[995].speaker SPEAKER_22
transcript.pyannote[995].start 5894.53596875
transcript.pyannote[995].end 5894.56971875
transcript.pyannote[996].speaker SPEAKER_03
transcript.pyannote[996].start 5894.56971875
transcript.pyannote[996].end 5896.59471875
transcript.pyannote[997].speaker SPEAKER_22
transcript.pyannote[997].start 5894.62034375
transcript.pyannote[997].end 5895.04221875
transcript.pyannote[998].speaker SPEAKER_22
transcript.pyannote[998].start 5897.32034375
transcript.pyannote[998].end 5910.51659375
transcript.pyannote[999].speaker SPEAKER_03
transcript.pyannote[999].start 5910.51659375
transcript.pyannote[999].end 5926.09221875
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 5928.03284375
transcript.pyannote[1000].end 5929.75409375
transcript.pyannote[1001].speaker SPEAKER_10
transcript.pyannote[1001].start 5930.22659375
transcript.pyannote[1001].end 5936.43659375
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 5934.02346875
transcript.pyannote[1002].end 5934.05721875
transcript.pyannote[1003].speaker SPEAKER_04
transcript.pyannote[1003].start 5934.05721875
transcript.pyannote[1003].end 5934.78284375
transcript.pyannote[1004].speaker SPEAKER_04
transcript.pyannote[1004].start 5936.43659375
transcript.pyannote[1004].end 5936.67284375
transcript.pyannote[1005].speaker SPEAKER_10
transcript.pyannote[1005].start 5937.58409375
transcript.pyannote[1005].end 5938.29284375
transcript.pyannote[1006].speaker SPEAKER_10
transcript.pyannote[1006].start 5939.81159375
transcript.pyannote[1006].end 5944.30034375
transcript.pyannote[1007].speaker SPEAKER_03
transcript.pyannote[1007].start 5942.30909375
transcript.pyannote[1007].end 5967.84096875
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 5968.16159375
transcript.pyannote[1008].end 5970.37221875
transcript.pyannote[1009].speaker SPEAKER_03
transcript.pyannote[1009].start 5970.57471875
transcript.pyannote[1009].end 5988.51284375
transcript.pyannote[1010].speaker SPEAKER_16
transcript.pyannote[1010].start 5988.07409375
transcript.pyannote[1010].end 5988.76596875
transcript.pyannote[1011].speaker SPEAKER_03
transcript.pyannote[1011].start 5988.58034375
transcript.pyannote[1011].end 5997.42284375
transcript.pyannote[1012].speaker SPEAKER_10
transcript.pyannote[1012].start 5997.96284375
transcript.pyannote[1012].end 6000.56159375
transcript.pyannote[1013].speaker SPEAKER_03
transcript.pyannote[1013].start 6000.56159375
transcript.pyannote[1013].end 6001.67534375
transcript.pyannote[1014].speaker SPEAKER_10
transcript.pyannote[1014].start 6000.57846875
transcript.pyannote[1014].end 6000.59534375
transcript.pyannote[1015].speaker SPEAKER_10
transcript.pyannote[1015].start 6000.91596875
transcript.pyannote[1015].end 6004.30784375
transcript.pyannote[1016].speaker SPEAKER_03
transcript.pyannote[1016].start 6003.16034375
transcript.pyannote[1016].end 6004.83096875
transcript.pyannote[1017].speaker SPEAKER_10
transcript.pyannote[1017].start 6004.98284375
transcript.pyannote[1017].end 6009.92721875
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 6009.77534375
transcript.pyannote[1018].end 6009.89346875
transcript.pyannote[1019].speaker SPEAKER_03
transcript.pyannote[1019].start 6009.92721875
transcript.pyannote[1019].end 6010.02846875
transcript.pyannote[1020].speaker SPEAKER_10
transcript.pyannote[1020].start 6010.02846875
transcript.pyannote[1020].end 6017.52096875
transcript.pyannote[1021].speaker SPEAKER_10
transcript.pyannote[1021].start 6017.79096875
transcript.pyannote[1021].end 6019.98471875
transcript.pyannote[1022].speaker SPEAKER_10
transcript.pyannote[1022].start 6020.05221875
transcript.pyannote[1022].end 6021.57096875
transcript.pyannote[1023].speaker SPEAKER_10
transcript.pyannote[1023].start 6021.99284375
transcript.pyannote[1023].end 6025.04721875
transcript.pyannote[1024].speaker SPEAKER_10
transcript.pyannote[1024].start 6025.13159375
transcript.pyannote[1024].end 6030.75096875
transcript.pyannote[1025].speaker SPEAKER_10
transcript.pyannote[1025].start 6031.45971875
transcript.pyannote[1025].end 6044.52096875
transcript.pyannote[1026].speaker SPEAKER_10
transcript.pyannote[1026].start 6045.14534375
transcript.pyannote[1026].end 6049.48221875
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 6049.27971875
transcript.pyannote[1027].end 6078.67596875
transcript.pyannote[1028].speaker SPEAKER_10
transcript.pyannote[1028].start 6079.18221875
transcript.pyannote[1028].end 6087.11346875
transcript.pyannote[1029].speaker SPEAKER_10
transcript.pyannote[1029].start 6087.50159375
transcript.pyannote[1029].end 6090.04971875
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 6090.04971875
transcript.pyannote[1030].end 6091.58534375
transcript.pyannote[1031].speaker SPEAKER_10
transcript.pyannote[1031].start 6091.58534375
transcript.pyannote[1031].end 6109.99596875
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 6109.99596875
transcript.pyannote[1032].end 6141.90659375
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 6142.22721875
transcript.pyannote[1033].end 6194.57346875
transcript.pyannote[1034].speaker SPEAKER_00
transcript.pyannote[1034].start 6184.12784375
transcript.pyannote[1034].end 6184.66784375
transcript.pyannote[1035].speaker SPEAKER_00
transcript.pyannote[1035].start 6192.22784375
transcript.pyannote[1035].end 6192.98721875
transcript.pyannote[1036].speaker SPEAKER_19
transcript.pyannote[1036].start 6208.91721875
transcript.pyannote[1036].end 6211.76909375
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 6216.37596875
transcript.pyannote[1037].end 6223.63221875
transcript.pyannote[1038].speaker SPEAKER_19
transcript.pyannote[1038].start 6221.48909375
transcript.pyannote[1038].end 6221.50596875
transcript.pyannote[1039].speaker SPEAKER_07
transcript.pyannote[1039].start 6221.50596875
transcript.pyannote[1039].end 6222.45096875
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 6223.73346875
transcript.pyannote[1040].end 6228.01971875
transcript.pyannote[1041].speaker SPEAKER_07
transcript.pyannote[1041].start 6223.81784375
transcript.pyannote[1041].end 6224.76284375
transcript.pyannote[1042].speaker SPEAKER_07
transcript.pyannote[1042].start 6229.50471875
transcript.pyannote[1042].end 6230.58471875
transcript.pyannote[1043].speaker SPEAKER_06
transcript.pyannote[1043].start 6230.58471875
transcript.pyannote[1043].end 6231.69846875
transcript.pyannote[1044].speaker SPEAKER_06
transcript.pyannote[1044].start 6232.01909375
transcript.pyannote[1044].end 6283.28534375
transcript.pyannote[1045].speaker SPEAKER_06
transcript.pyannote[1045].start 6283.63971875
transcript.pyannote[1045].end 6290.67659375
transcript.pyannote[1046].speaker SPEAKER_06
transcript.pyannote[1046].start 6291.11534375
transcript.pyannote[1046].end 6293.17409375
transcript.pyannote[1047].speaker SPEAKER_07
transcript.pyannote[1047].start 6293.81534375
transcript.pyannote[1047].end 6299.55284375
transcript.pyannote[1048].speaker SPEAKER_06
transcript.pyannote[1048].start 6299.40096875
transcript.pyannote[1048].end 6299.73846875
transcript.pyannote[1049].speaker SPEAKER_07
transcript.pyannote[1049].start 6299.73846875
transcript.pyannote[1049].end 6308.19284375
transcript.pyannote[1050].speaker SPEAKER_06
transcript.pyannote[1050].start 6299.75534375
transcript.pyannote[1050].end 6299.80596875
transcript.pyannote[1051].speaker SPEAKER_06
transcript.pyannote[1051].start 6308.09159375
transcript.pyannote[1051].end 6320.19096875
transcript.pyannote[1052].speaker SPEAKER_07
transcript.pyannote[1052].start 6310.43721875
transcript.pyannote[1052].end 6311.73659375
transcript.pyannote[1053].speaker SPEAKER_07
transcript.pyannote[1053].start 6314.01471875
transcript.pyannote[1053].end 6314.89221875
transcript.pyannote[1054].speaker SPEAKER_07
transcript.pyannote[1054].start 6320.30909375
transcript.pyannote[1054].end 6322.65471875
transcript.pyannote[1055].speaker SPEAKER_06
transcript.pyannote[1055].start 6320.93346875
transcript.pyannote[1055].end 6324.57846875
transcript.pyannote[1056].speaker SPEAKER_06
transcript.pyannote[1056].start 6325.06784375
transcript.pyannote[1056].end 6327.00846875
transcript.pyannote[1057].speaker SPEAKER_07
transcript.pyannote[1057].start 6327.39659375
transcript.pyannote[1057].end 6329.08409375
transcript.pyannote[1058].speaker SPEAKER_06
transcript.pyannote[1058].start 6329.08409375
transcript.pyannote[1058].end 6337.45409375
transcript.pyannote[1059].speaker SPEAKER_07
transcript.pyannote[1059].start 6329.52284375
transcript.pyannote[1059].end 6330.43409375
transcript.pyannote[1060].speaker SPEAKER_07
transcript.pyannote[1060].start 6337.45409375
transcript.pyannote[1060].end 6339.39471875
transcript.pyannote[1061].speaker SPEAKER_06
transcript.pyannote[1061].start 6337.70721875
transcript.pyannote[1061].end 6341.58846875
transcript.pyannote[1062].speaker SPEAKER_07
transcript.pyannote[1062].start 6341.58846875
transcript.pyannote[1062].end 6356.77596875
transcript.pyannote[1063].speaker SPEAKER_06
transcript.pyannote[1063].start 6350.88659375
transcript.pyannote[1063].end 6350.93721875
transcript.pyannote[1064].speaker SPEAKER_06
transcript.pyannote[1064].start 6356.86034375
transcript.pyannote[1064].end 6359.84721875
transcript.pyannote[1065].speaker SPEAKER_06
transcript.pyannote[1065].start 6359.96534375
transcript.pyannote[1065].end 6370.63034375
transcript.pyannote[1066].speaker SPEAKER_07
transcript.pyannote[1066].start 6364.84221875
transcript.pyannote[1066].end 6366.96846875
transcript.pyannote[1067].speaker SPEAKER_23
transcript.pyannote[1067].start 6366.96846875
transcript.pyannote[1067].end 6368.90909375
transcript.pyannote[1068].speaker SPEAKER_23
transcript.pyannote[1068].start 6371.47409375
transcript.pyannote[1068].end 6373.11096875
transcript.pyannote[1069].speaker SPEAKER_06
transcript.pyannote[1069].start 6372.90846875
transcript.pyannote[1069].end 6373.21221875
transcript.pyannote[1070].speaker SPEAKER_23
transcript.pyannote[1070].start 6373.56659375
transcript.pyannote[1070].end 6379.54034375
transcript.pyannote[1071].speaker SPEAKER_23
transcript.pyannote[1071].start 6379.75971875
transcript.pyannote[1071].end 6382.05471875
transcript.pyannote[1072].speaker SPEAKER_06
transcript.pyannote[1072].start 6382.51034375
transcript.pyannote[1072].end 6386.18909375
transcript.pyannote[1073].speaker SPEAKER_23
transcript.pyannote[1073].start 6386.03721875
transcript.pyannote[1073].end 6387.70784375
transcript.pyannote[1074].speaker SPEAKER_06
transcript.pyannote[1074].start 6386.50971875
transcript.pyannote[1074].end 6392.53409375
transcript.pyannote[1075].speaker SPEAKER_23
transcript.pyannote[1075].start 6389.47971875
transcript.pyannote[1075].end 6389.95221875
transcript.pyannote[1076].speaker SPEAKER_23
transcript.pyannote[1076].start 6389.96909375
transcript.pyannote[1076].end 6390.57659375
transcript.pyannote[1077].speaker SPEAKER_02
transcript.pyannote[1077].start 6394.01909375
transcript.pyannote[1077].end 6394.59284375
transcript.pyannote[1078].speaker SPEAKER_02
transcript.pyannote[1078].start 6394.82909375
transcript.pyannote[1078].end 6416.22659375
transcript.pyannote[1079].speaker SPEAKER_00
transcript.pyannote[1079].start 6399.89159375
transcript.pyannote[1079].end 6399.90846875
transcript.pyannote[1080].speaker SPEAKER_06
transcript.pyannote[1080].start 6399.90846875
transcript.pyannote[1080].end 6400.26284375
transcript.pyannote[1081].speaker SPEAKER_00
transcript.pyannote[1081].start 6400.26284375
transcript.pyannote[1081].end 6400.31346875
transcript.pyannote[1082].speaker SPEAKER_06
transcript.pyannote[1082].start 6415.63596875
transcript.pyannote[1082].end 6419.92221875
transcript.pyannote[1083].speaker SPEAKER_06
transcript.pyannote[1083].start 6420.34409375
transcript.pyannote[1083].end 6422.03159375
transcript.pyannote[1084].speaker SPEAKER_06
transcript.pyannote[1084].start 6424.00596875
transcript.pyannote[1084].end 6424.02284375
transcript.pyannote[1085].speaker SPEAKER_06
transcript.pyannote[1085].start 6424.84971875
transcript.pyannote[1085].end 6427.83659375
transcript.pyannote[1086].speaker SPEAKER_20
transcript.pyannote[1086].start 6427.87034375
transcript.pyannote[1086].end 6436.39221875
transcript.pyannote[1087].speaker SPEAKER_06
transcript.pyannote[1087].start 6435.88596875
transcript.pyannote[1087].end 6437.57346875
transcript.pyannote[1088].speaker SPEAKER_20
transcript.pyannote[1088].start 6437.57346875
transcript.pyannote[1088].end 6438.36659375
transcript.pyannote[1089].speaker SPEAKER_06
transcript.pyannote[1089].start 6438.36659375
transcript.pyannote[1089].end 6439.61534375
transcript.pyannote[1090].speaker SPEAKER_20
transcript.pyannote[1090].start 6438.48471875
transcript.pyannote[1090].end 6438.90659375
transcript.pyannote[1091].speaker SPEAKER_20
transcript.pyannote[1091].start 6440.07096875
transcript.pyannote[1091].end 6441.18471875
transcript.pyannote[1092].speaker SPEAKER_20
transcript.pyannote[1092].start 6442.11284375
transcript.pyannote[1092].end 6442.12971875
transcript.pyannote[1093].speaker SPEAKER_06
transcript.pyannote[1093].start 6442.33221875
transcript.pyannote[1093].end 6452.08596875
transcript.pyannote[1094].speaker SPEAKER_06
transcript.pyannote[1094].start 6452.59221875
transcript.pyannote[1094].end 6498.64409375
transcript.pyannote[1095].speaker SPEAKER_06
transcript.pyannote[1095].start 6498.99846875
transcript.pyannote[1095].end 6502.03596875
transcript.pyannote[1096].speaker SPEAKER_06
transcript.pyannote[1096].start 6502.60971875
transcript.pyannote[1096].end 6507.33471875
transcript.pyannote[1097].speaker SPEAKER_07
transcript.pyannote[1097].start 6505.59659375
transcript.pyannote[1097].end 6547.90221875
transcript.pyannote[1098].speaker SPEAKER_06
transcript.pyannote[1098].start 6534.04784375
transcript.pyannote[1098].end 6534.38534375
transcript.pyannote[1099].speaker SPEAKER_06
transcript.pyannote[1099].start 6535.95471875
transcript.pyannote[1099].end 6537.81096875
transcript.pyannote[1100].speaker SPEAKER_06
transcript.pyannote[1100].start 6547.90221875
transcript.pyannote[1100].end 6614.67659375
transcript.pyannote[1101].speaker SPEAKER_07
transcript.pyannote[1101].start 6561.31784375
transcript.pyannote[1101].end 6562.07721875
transcript.pyannote[1102].speaker SPEAKER_07
transcript.pyannote[1102].start 6567.12284375
transcript.pyannote[1102].end 6567.15659375
transcript.pyannote[1103].speaker SPEAKER_00
transcript.pyannote[1103].start 6567.15659375
transcript.pyannote[1103].end 6567.46034375
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 6614.91284375
transcript.pyannote[1104].end 6640.84971875
transcript.pyannote[1105].speaker SPEAKER_06
transcript.pyannote[1105].start 6641.50784375
transcript.pyannote[1105].end 6644.27534375
transcript.pyannote[1106].speaker SPEAKER_07
transcript.pyannote[1106].start 6645.08534375
transcript.pyannote[1106].end 6645.54096875
transcript.pyannote[1107].speaker SPEAKER_06
transcript.pyannote[1107].start 6645.22034375
transcript.pyannote[1107].end 6646.19909375
transcript.pyannote[1108].speaker SPEAKER_07
transcript.pyannote[1108].start 6646.19909375
transcript.pyannote[1108].end 6671.76471875
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 6671.30909375
transcript.pyannote[1109].end 6700.63784375
transcript.pyannote[1110].speaker SPEAKER_00
transcript.pyannote[1110].start 6686.51346875
transcript.pyannote[1110].end 6686.64846875
transcript.pyannote[1111].speaker SPEAKER_00
transcript.pyannote[1111].start 6687.66096875
transcript.pyannote[1111].end 6687.77909375
transcript.pyannote[1112].speaker SPEAKER_00
transcript.pyannote[1112].start 6688.23471875
transcript.pyannote[1112].end 6688.38659375
transcript.pyannote[1113].speaker SPEAKER_00
transcript.pyannote[1113].start 6690.93471875
transcript.pyannote[1113].end 6691.18784375
transcript.pyannote[1114].speaker SPEAKER_20
transcript.pyannote[1114].start 6700.63784375
transcript.pyannote[1114].end 6706.15596875
transcript.pyannote[1115].speaker SPEAKER_06
transcript.pyannote[1115].start 6701.11034375
transcript.pyannote[1115].end 6702.51096875
transcript.pyannote[1116].speaker SPEAKER_20
transcript.pyannote[1116].start 6706.42596875
transcript.pyannote[1116].end 6708.85596875
transcript.pyannote[1117].speaker SPEAKER_20
transcript.pyannote[1117].start 6709.10909375
transcript.pyannote[1117].end 6712.46721875
transcript.pyannote[1118].speaker SPEAKER_20
transcript.pyannote[1118].start 6712.51784375
transcript.pyannote[1118].end 6713.41221875
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 6712.82159375
transcript.pyannote[1119].end 6717.05721875
transcript.pyannote[1120].speaker SPEAKER_20
transcript.pyannote[1120].start 6713.85096875
transcript.pyannote[1120].end 6714.01971875
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 6717.07409375
transcript.pyannote[1121].end 6717.14159375
transcript.pyannote[1122].speaker SPEAKER_06
transcript.pyannote[1122].start 6718.55909375
transcript.pyannote[1122].end 6719.47034375
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 6720.51659375
transcript.pyannote[1123].end 6721.96784375
transcript.pyannote[1124].speaker SPEAKER_06
transcript.pyannote[1124].start 6722.30534375
transcript.pyannote[1124].end 6729.08909375
transcript.pyannote[1125].speaker SPEAKER_10
transcript.pyannote[1125].start 6722.32221875
transcript.pyannote[1125].end 6722.94659375
transcript.pyannote[1126].speaker SPEAKER_10
transcript.pyannote[1126].start 6729.56159375
transcript.pyannote[1126].end 6736.05846875
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 6736.04159375
transcript.pyannote[1127].end 6737.71221875
transcript.pyannote[1128].speaker SPEAKER_10
transcript.pyannote[1128].start 6736.26096875
transcript.pyannote[1128].end 6736.78409375
transcript.pyannote[1129].speaker SPEAKER_06
transcript.pyannote[1129].start 6738.65721875
transcript.pyannote[1129].end 6740.14221875
transcript.pyannote[1130].speaker SPEAKER_10
transcript.pyannote[1130].start 6740.80034375
transcript.pyannote[1130].end 6742.36971875
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 6742.53846875
transcript.pyannote[1131].end 6747.61784375
transcript.pyannote[1132].speaker SPEAKER_06
transcript.pyannote[1132].start 6748.02284375
transcript.pyannote[1132].end 6751.80284375
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 6752.24159375
transcript.pyannote[1133].end 6753.91221875
transcript.pyannote[1134].speaker SPEAKER_10
transcript.pyannote[1134].start 6754.45221875
transcript.pyannote[1134].end 6755.95409375
transcript.pyannote[1135].speaker SPEAKER_06
transcript.pyannote[1135].start 6755.65034375
transcript.pyannote[1135].end 6757.40534375
transcript.pyannote[1136].speaker SPEAKER_06
transcript.pyannote[1136].start 6759.39659375
transcript.pyannote[1136].end 6760.91534375
transcript.pyannote[1137].speaker SPEAKER_10
transcript.pyannote[1137].start 6762.36659375
transcript.pyannote[1137].end 6768.25596875
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 6768.25596875
transcript.pyannote[1138].end 6777.40221875
transcript.pyannote[1139].speaker SPEAKER_18
transcript.pyannote[1139].start 6779.69721875
transcript.pyannote[1139].end 6794.34471875
transcript.pyannote[1140].speaker SPEAKER_06
transcript.pyannote[1140].start 6779.96721875
transcript.pyannote[1140].end 6781.72221875
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 6782.76846875
transcript.pyannote[1141].end 6783.12284375
transcript.pyannote[1142].speaker SPEAKER_06
transcript.pyannote[1142].start 6794.34471875
transcript.pyannote[1142].end 6815.52284375
transcript.pyannote[1143].speaker SPEAKER_06
transcript.pyannote[1143].start 6815.87721875
transcript.pyannote[1143].end 6874.02846875
transcript.pyannote[1144].speaker SPEAKER_10
transcript.pyannote[1144].start 6874.01159375
transcript.pyannote[1144].end 6891.49409375
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 6891.88221875
transcript.pyannote[1145].end 6909.12846875
transcript.pyannote[1146].speaker SPEAKER_06
transcript.pyannote[1146].start 6909.61784375
transcript.pyannote[1146].end 6911.98034375
transcript.pyannote[1147].speaker SPEAKER_06
transcript.pyannote[1147].start 6912.60471875
transcript.pyannote[1147].end 6916.58721875
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 6916.62096875
transcript.pyannote[1148].end 6924.80534375
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 6924.87284375
transcript.pyannote[1149].end 6928.90596875
transcript.pyannote[1150].speaker SPEAKER_06
transcript.pyannote[1150].start 6929.61471875
transcript.pyannote[1150].end 6938.32221875
transcript.pyannote[1151].speaker SPEAKER_06
transcript.pyannote[1151].start 6939.19971875
transcript.pyannote[1151].end 6944.24534375
transcript.pyannote[1152].speaker SPEAKER_10
transcript.pyannote[1152].start 6944.24534375
transcript.pyannote[1152].end 6947.02971875
transcript.pyannote[1153].speaker SPEAKER_06
transcript.pyannote[1153].start 6947.02971875
transcript.pyannote[1153].end 6963.07784375
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 6963.53346875
transcript.pyannote[1154].end 6984.98159375
transcript.pyannote[1155].speaker SPEAKER_16
transcript.pyannote[1155].start 6975.44721875
transcript.pyannote[1155].end 6975.97034375
transcript.pyannote[1156].speaker SPEAKER_16
transcript.pyannote[1156].start 6984.00284375
transcript.pyannote[1156].end 6984.71159375
transcript.pyannote[1157].speaker SPEAKER_16
transcript.pyannote[1157].start 6986.24721875
transcript.pyannote[1157].end 6986.38221875
transcript.pyannote[1158].speaker SPEAKER_16
transcript.pyannote[1158].start 6986.97284375
transcript.pyannote[1158].end 6987.02346875
transcript.pyannote[1159].speaker SPEAKER_16
transcript.pyannote[1159].start 6987.64784375
transcript.pyannote[1159].end 6993.65534375
transcript.pyannote[1160].speaker SPEAKER_06
transcript.pyannote[1160].start 6999.84846875
transcript.pyannote[1160].end 7005.95721875
transcript.pyannote[1161].speaker SPEAKER_06
transcript.pyannote[1161].start 7006.78409375
transcript.pyannote[1161].end 7009.85534375
transcript.pyannote[1162].speaker SPEAKER_04
transcript.pyannote[1162].start 7021.09409375
transcript.pyannote[1162].end 7025.95409375
transcript.pyannote[1163].speaker SPEAKER_04
transcript.pyannote[1163].start 7028.56971875
transcript.pyannote[1163].end 7028.80596875
transcript.pyannote[1164].speaker SPEAKER_04
transcript.pyannote[1164].start 7030.29096875
transcript.pyannote[1164].end 7034.62784375
transcript.pyannote[1165].speaker SPEAKER_04
transcript.pyannote[1165].start 7037.76659375
transcript.pyannote[1165].end 7039.06596875
transcript.pyannote[1166].speaker SPEAKER_04
transcript.pyannote[1166].start 7039.63971875
transcript.pyannote[1166].end 7045.03971875
transcript.pyannote[1167].speaker SPEAKER_04
transcript.pyannote[1167].start 7045.19159375
transcript.pyannote[1167].end 7046.49096875
transcript.pyannote[1168].speaker SPEAKER_04
transcript.pyannote[1168].start 7046.89596875
transcript.pyannote[1168].end 7050.22034375
transcript.pyannote[1169].speaker SPEAKER_04
transcript.pyannote[1169].start 7050.47346875
transcript.pyannote[1169].end 7054.82721875
transcript.pyannote[1170].speaker SPEAKER_04
transcript.pyannote[1170].start 7055.28284375
transcript.pyannote[1170].end 7060.54784375
transcript.pyannote[1171].speaker SPEAKER_04
transcript.pyannote[1171].start 7060.83471875
transcript.pyannote[1171].end 7074.33471875
transcript.pyannote[1172].speaker SPEAKER_04
transcript.pyannote[1172].start 7075.06034375
transcript.pyannote[1172].end 7076.24159375
transcript.pyannote[1173].speaker SPEAKER_10
transcript.pyannote[1173].start 7075.21221875
transcript.pyannote[1173].end 7080.20721875
transcript.pyannote[1174].speaker SPEAKER_04
transcript.pyannote[1174].start 7080.76409375
transcript.pyannote[1174].end 7082.40096875
transcript.pyannote[1175].speaker SPEAKER_10
transcript.pyannote[1175].start 7082.40096875
transcript.pyannote[1175].end 7083.10971875
transcript.pyannote[1176].speaker SPEAKER_04
transcript.pyannote[1176].start 7083.49784375
transcript.pyannote[1176].end 7085.96159375
transcript.pyannote[1177].speaker SPEAKER_10
transcript.pyannote[1177].start 7086.21471875
transcript.pyannote[1177].end 7089.10034375
transcript.pyannote[1178].speaker SPEAKER_04
transcript.pyannote[1178].start 7088.89784375
transcript.pyannote[1178].end 7091.29409375
transcript.pyannote[1179].speaker SPEAKER_10
transcript.pyannote[1179].start 7091.29409375
transcript.pyannote[1179].end 7091.56409375
transcript.pyannote[1180].speaker SPEAKER_04
transcript.pyannote[1180].start 7091.56409375
transcript.pyannote[1180].end 7091.61471875
transcript.pyannote[1181].speaker SPEAKER_04
transcript.pyannote[1181].start 7091.69909375
transcript.pyannote[1181].end 7095.00659375
transcript.pyannote[1182].speaker SPEAKER_04
transcript.pyannote[1182].start 7095.25971875
transcript.pyannote[1182].end 7100.44034375
transcript.pyannote[1183].speaker SPEAKER_10
transcript.pyannote[1183].start 7101.57096875
transcript.pyannote[1183].end 7102.38096875
transcript.pyannote[1184].speaker SPEAKER_10
transcript.pyannote[1184].start 7102.51596875
transcript.pyannote[1184].end 7107.44346875
transcript.pyannote[1185].speaker SPEAKER_10
transcript.pyannote[1185].start 7107.59534375
transcript.pyannote[1185].end 7108.05096875
transcript.pyannote[1186].speaker SPEAKER_04
transcript.pyannote[1186].start 7108.05096875
transcript.pyannote[1186].end 7109.89034375
transcript.pyannote[1187].speaker SPEAKER_10
transcript.pyannote[1187].start 7109.06346875
transcript.pyannote[1187].end 7110.54846875
transcript.pyannote[1188].speaker SPEAKER_04
transcript.pyannote[1188].start 7110.49784375
transcript.pyannote[1188].end 7113.13034375
transcript.pyannote[1189].speaker SPEAKER_10
transcript.pyannote[1189].start 7112.84346875
transcript.pyannote[1189].end 7116.65721875
transcript.pyannote[1190].speaker SPEAKER_04
transcript.pyannote[1190].start 7117.53471875
transcript.pyannote[1190].end 7119.05346875
transcript.pyannote[1191].speaker SPEAKER_10
transcript.pyannote[1191].start 7119.44159375
transcript.pyannote[1191].end 7120.04909375
transcript.pyannote[1192].speaker SPEAKER_04
transcript.pyannote[1192].start 7122.32721875
transcript.pyannote[1192].end 7122.85034375
transcript.pyannote[1193].speaker SPEAKER_10
transcript.pyannote[1193].start 7123.01909375
transcript.pyannote[1193].end 7131.28784375
transcript.pyannote[1194].speaker SPEAKER_10
transcript.pyannote[1194].start 7131.82784375
transcript.pyannote[1194].end 7140.80534375
transcript.pyannote[1195].speaker SPEAKER_10
transcript.pyannote[1195].start 7141.37909375
transcript.pyannote[1195].end 7144.51784375
transcript.pyannote[1196].speaker SPEAKER_04
transcript.pyannote[1196].start 7144.36596875
transcript.pyannote[1196].end 7148.65221875
transcript.pyannote[1197].speaker SPEAKER_04
transcript.pyannote[1197].start 7148.97284375
transcript.pyannote[1197].end 7159.87409375
transcript.pyannote[1198].speaker SPEAKER_10
transcript.pyannote[1198].start 7158.00096875
transcript.pyannote[1198].end 7158.35534375
transcript.pyannote[1199].speaker SPEAKER_04
transcript.pyannote[1199].start 7160.19471875
transcript.pyannote[1199].end 7163.80596875
transcript.pyannote[1200].speaker SPEAKER_10
transcript.pyannote[1200].start 7165.49346875
transcript.pyannote[1200].end 7167.83909375
transcript.pyannote[1201].speaker SPEAKER_04
transcript.pyannote[1201].start 7168.80096875
transcript.pyannote[1201].end 7184.93346875
transcript.pyannote[1202].speaker SPEAKER_04
transcript.pyannote[1202].start 7186.45221875
transcript.pyannote[1202].end 7187.63346875
transcript.pyannote[1203].speaker SPEAKER_10
transcript.pyannote[1203].start 7188.05534375
transcript.pyannote[1203].end 7188.56159375
transcript.pyannote[1204].speaker SPEAKER_10
transcript.pyannote[1204].start 7189.01721875
transcript.pyannote[1204].end 7195.32846875
transcript.pyannote[1205].speaker SPEAKER_04
transcript.pyannote[1205].start 7195.63221875
transcript.pyannote[1205].end 7196.34096875
transcript.pyannote[1206].speaker SPEAKER_10
transcript.pyannote[1206].start 7196.64471875
transcript.pyannote[1206].end 7196.83034375
transcript.pyannote[1207].speaker SPEAKER_10
transcript.pyannote[1207].start 7199.19284375
transcript.pyannote[1207].end 7206.43221875
transcript.pyannote[1208].speaker SPEAKER_04
transcript.pyannote[1208].start 7204.05284375
transcript.pyannote[1208].end 7204.18784375
transcript.pyannote[1209].speaker SPEAKER_04
transcript.pyannote[1209].start 7206.36471875
transcript.pyannote[1209].end 7214.31284375
transcript.pyannote[1210].speaker SPEAKER_10
transcript.pyannote[1210].start 7215.03846875
transcript.pyannote[1210].end 7218.91971875
transcript.pyannote[1211].speaker SPEAKER_04
transcript.pyannote[1211].start 7219.03784375
transcript.pyannote[1211].end 7219.45971875
transcript.pyannote[1212].speaker SPEAKER_10
transcript.pyannote[1212].start 7219.35846875
transcript.pyannote[1212].end 7221.48471875
transcript.pyannote[1213].speaker SPEAKER_04
transcript.pyannote[1213].start 7220.99534375
transcript.pyannote[1213].end 7221.82221875
transcript.pyannote[1214].speaker SPEAKER_10
transcript.pyannote[1214].start 7222.37909375
transcript.pyannote[1214].end 7225.23096875
transcript.pyannote[1215].speaker SPEAKER_04
transcript.pyannote[1215].start 7225.23096875
transcript.pyannote[1215].end 7229.19659375
transcript.pyannote[1216].speaker SPEAKER_10
transcript.pyannote[1216].start 7226.66534375
transcript.pyannote[1216].end 7227.25596875
transcript.pyannote[1217].speaker SPEAKER_10
transcript.pyannote[1217].start 7229.16284375
transcript.pyannote[1217].end 7230.52971875
transcript.pyannote[1218].speaker SPEAKER_04
transcript.pyannote[1218].start 7230.51284375
transcript.pyannote[1218].end 7231.69409375
transcript.pyannote[1219].speaker SPEAKER_10
transcript.pyannote[1219].start 7231.54221875
transcript.pyannote[1219].end 7234.49534375
transcript.pyannote[1220].speaker SPEAKER_04
transcript.pyannote[1220].start 7234.49534375
transcript.pyannote[1220].end 7236.23346875
transcript.pyannote[1221].speaker SPEAKER_10
transcript.pyannote[1221].start 7236.23346875
transcript.pyannote[1221].end 7243.20284375
transcript.pyannote[1222].speaker SPEAKER_04
transcript.pyannote[1222].start 7243.21971875
transcript.pyannote[1222].end 7245.00846875
transcript.pyannote[1223].speaker SPEAKER_04
transcript.pyannote[1223].start 7245.44721875
transcript.pyannote[1223].end 7257.12471875
transcript.pyannote[1224].speaker SPEAKER_16
transcript.pyannote[1224].start 7253.73284375
transcript.pyannote[1224].end 7253.98596875
transcript.pyannote[1225].speaker SPEAKER_04
transcript.pyannote[1225].start 7257.37784375
transcript.pyannote[1225].end 7267.92471875
transcript.pyannote[1226].speaker SPEAKER_04
transcript.pyannote[1226].start 7268.19471875
transcript.pyannote[1226].end 7280.78346875
transcript.pyannote[1227].speaker SPEAKER_04
transcript.pyannote[1227].start 7281.30659375
transcript.pyannote[1227].end 7288.00596875
transcript.pyannote[1228].speaker SPEAKER_04
transcript.pyannote[1228].start 7288.14096875
transcript.pyannote[1228].end 7308.12096875
transcript.pyannote[1229].speaker SPEAKER_10
transcript.pyannote[1229].start 7308.67784375
transcript.pyannote[1229].end 7318.93784375
transcript.pyannote[1230].speaker SPEAKER_04
transcript.pyannote[1230].start 7319.88284375
transcript.pyannote[1230].end 7321.19909375
transcript.pyannote[1231].speaker SPEAKER_10
transcript.pyannote[1231].start 7321.45221875
transcript.pyannote[1231].end 7322.38034375
transcript.pyannote[1232].speaker SPEAKER_10
transcript.pyannote[1232].start 7322.65034375
transcript.pyannote[1232].end 7326.46409375
transcript.pyannote[1233].speaker SPEAKER_04
transcript.pyannote[1233].start 7326.46409375
transcript.pyannote[1233].end 7330.02471875
transcript.pyannote[1234].speaker SPEAKER_10
transcript.pyannote[1234].start 7328.25284375
transcript.pyannote[1234].end 7328.69159375
transcript.pyannote[1235].speaker SPEAKER_18
transcript.pyannote[1235].start 7328.69159375
transcript.pyannote[1235].end 7328.75909375
transcript.pyannote[1236].speaker SPEAKER_10
transcript.pyannote[1236].start 7330.00784375
transcript.pyannote[1236].end 7330.56471875
transcript.pyannote[1237].speaker SPEAKER_04
transcript.pyannote[1237].start 7330.49721875
transcript.pyannote[1237].end 7342.27596875
transcript.pyannote[1238].speaker SPEAKER_18
transcript.pyannote[1238].start 7330.56471875
transcript.pyannote[1238].end 7330.63221875
transcript.pyannote[1239].speaker SPEAKER_10
transcript.pyannote[1239].start 7342.54596875
transcript.pyannote[1239].end 7345.00971875
transcript.pyannote[1240].speaker SPEAKER_04
transcript.pyannote[1240].start 7345.00971875
transcript.pyannote[1240].end 7348.26659375
transcript.pyannote[1241].speaker SPEAKER_10
transcript.pyannote[1241].start 7348.38471875
transcript.pyannote[1241].end 7348.82346875
transcript.pyannote[1242].speaker SPEAKER_04
transcript.pyannote[1242].start 7348.95846875
transcript.pyannote[1242].end 7364.65221875
transcript.pyannote[1243].speaker SPEAKER_04
transcript.pyannote[1243].start 7365.00659375
transcript.pyannote[1243].end 7365.63096875
transcript.pyannote[1244].speaker SPEAKER_04
transcript.pyannote[1244].start 7366.08659375
transcript.pyannote[1244].end 7373.83221875
transcript.pyannote[1245].speaker SPEAKER_04
transcript.pyannote[1245].start 7373.98409375
transcript.pyannote[1245].end 7374.59159375
transcript.pyannote[1246].speaker SPEAKER_10
transcript.pyannote[1246].start 7374.67596875
transcript.pyannote[1246].end 7380.93659375
transcript.pyannote[1247].speaker SPEAKER_04
transcript.pyannote[1247].start 7380.04221875
transcript.pyannote[1247].end 7381.54409375
transcript.pyannote[1248].speaker SPEAKER_10
transcript.pyannote[1248].start 7381.54409375
transcript.pyannote[1248].end 7382.43846875
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 7382.57346875
transcript.pyannote[1249].end 7405.38846875
transcript.pyannote[1250].speaker SPEAKER_10
transcript.pyannote[1250].start 7406.11409375
transcript.pyannote[1250].end 7406.53596875
transcript.pyannote[1251].speaker SPEAKER_10
transcript.pyannote[1251].start 7406.83971875
transcript.pyannote[1251].end 7411.10909375
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 7410.87284375
transcript.pyannote[1252].end 7421.01471875
transcript.pyannote[1253].speaker SPEAKER_10
transcript.pyannote[1253].start 7419.46221875
transcript.pyannote[1253].end 7420.17096875
transcript.pyannote[1254].speaker SPEAKER_10
transcript.pyannote[1254].start 7421.25096875
transcript.pyannote[1254].end 7422.85409375
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 7423.68096875
transcript.pyannote[1255].end 7427.30909375
transcript.pyannote[1256].speaker SPEAKER_10
transcript.pyannote[1256].start 7427.22471875
transcript.pyannote[1256].end 7428.01784375
transcript.pyannote[1257].speaker SPEAKER_04
transcript.pyannote[1257].start 7427.64659375
transcript.pyannote[1257].end 7441.11284375
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 7441.19721875
transcript.pyannote[1258].end 7444.97721875
transcript.pyannote[1259].speaker SPEAKER_04
transcript.pyannote[1259].start 7445.34846875
transcript.pyannote[1259].end 7446.20909375
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 7446.74909375
transcript.pyannote[1260].end 7447.39034375
transcript.pyannote[1261].speaker SPEAKER_04
transcript.pyannote[1261].start 7448.04846875
transcript.pyannote[1261].end 7462.15596875
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 7462.32471875
transcript.pyannote[1262].end 7477.63034375
transcript.pyannote[1263].speaker SPEAKER_04
transcript.pyannote[1263].start 7477.91721875
transcript.pyannote[1263].end 7478.77784375
transcript.pyannote[1264].speaker SPEAKER_04
transcript.pyannote[1264].start 7479.16596875
transcript.pyannote[1264].end 7484.07659375
transcript.pyannote[1265].speaker SPEAKER_04
transcript.pyannote[1265].start 7484.54909375
transcript.pyannote[1265].end 7487.53596875
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 7487.94096875
transcript.pyannote[1266].end 7519.48034375
transcript.pyannote[1267].speaker SPEAKER_04
transcript.pyannote[1267].start 7520.76284375
transcript.pyannote[1267].end 7528.17096875
transcript.pyannote[1268].speaker SPEAKER_04
transcript.pyannote[1268].start 7528.40721875
transcript.pyannote[1268].end 7529.21721875
transcript.pyannote[1269].speaker SPEAKER_04
transcript.pyannote[1269].start 7529.72346875
transcript.pyannote[1269].end 7530.46596875
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 7531.03971875
transcript.pyannote[1270].end 7532.54159375
transcript.pyannote[1271].speaker SPEAKER_10
transcript.pyannote[1271].start 7533.68909375
transcript.pyannote[1271].end 7536.84471875
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 7537.26659375
transcript.pyannote[1272].end 7538.92034375
transcript.pyannote[1273].speaker SPEAKER_10
transcript.pyannote[1273].start 7538.92034375
transcript.pyannote[1273].end 7539.00471875
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 7539.00471875
transcript.pyannote[1274].end 7539.07221875
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7539.47721875
transcript.pyannote[1275].end 7541.60346875
transcript.pyannote[1276].speaker SPEAKER_10
transcript.pyannote[1276].start 7541.92409375
transcript.pyannote[1276].end 7549.77096875
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 7549.77096875
transcript.pyannote[1277].end 7553.19659375
transcript.pyannote[1278].speaker SPEAKER_04
transcript.pyannote[1278].start 7553.61846875
transcript.pyannote[1278].end 7559.23784375
transcript.pyannote[1279].speaker SPEAKER_04
transcript.pyannote[1279].start 7559.74409375
transcript.pyannote[1279].end 7560.84096875
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 7561.31346875
transcript.pyannote[1280].end 7562.66346875
transcript.pyannote[1281].speaker SPEAKER_10
transcript.pyannote[1281].start 7563.47346875
transcript.pyannote[1281].end 7563.77721875
transcript.pyannote[1282].speaker SPEAKER_10
transcript.pyannote[1282].start 7563.94596875
transcript.pyannote[1282].end 7573.90221875
transcript.pyannote[1283].speaker SPEAKER_10
transcript.pyannote[1283].start 7573.96971875
transcript.pyannote[1283].end 7576.31534375
transcript.pyannote[1284].speaker SPEAKER_04
transcript.pyannote[1284].start 7576.99034375
transcript.pyannote[1284].end 7628.22284375
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 7628.29034375
transcript.pyannote[1285].end 7636.93034375
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 7637.03159375
transcript.pyannote[1286].end 7639.05659375
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 7639.37721875
transcript.pyannote[1287].end 7646.73471875
transcript.pyannote[1288].speaker SPEAKER_04
transcript.pyannote[1288].start 7647.35909375
transcript.pyannote[1288].end 7658.39534375
transcript.pyannote[1289].speaker SPEAKER_10
transcript.pyannote[1289].start 7659.13784375
transcript.pyannote[1289].end 7661.14596875
transcript.pyannote[1290].speaker SPEAKER_10
transcript.pyannote[1290].start 7661.56784375
transcript.pyannote[1290].end 7663.06971875
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 7661.63534375
transcript.pyannote[1291].end 7662.09096875
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 7663.67721875
transcript.pyannote[1292].end 7665.85409375
transcript.pyannote[1293].speaker SPEAKER_10
transcript.pyannote[1293].start 7664.70659375
transcript.pyannote[1293].end 7664.97659375
transcript.pyannote[1294].speaker SPEAKER_10
transcript.pyannote[1294].start 7665.85409375
transcript.pyannote[1294].end 7677.90284375
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 7669.93784375
transcript.pyannote[1295].end 7670.78159375
transcript.pyannote[1296].speaker SPEAKER_04
transcript.pyannote[1296].start 7677.68346875
transcript.pyannote[1296].end 7680.68721875
transcript.pyannote[1297].speaker SPEAKER_10
transcript.pyannote[1297].start 7680.65346875
transcript.pyannote[1297].end 7680.99096875
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 7680.99096875
transcript.pyannote[1298].end 7694.15346875
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 7694.71034375
transcript.pyannote[1299].end 7695.26721875
transcript.pyannote[1300].speaker SPEAKER_04
transcript.pyannote[1300].start 7695.84096875
transcript.pyannote[1300].end 7717.10346875
transcript.pyannote[1301].speaker SPEAKER_04
transcript.pyannote[1301].start 7717.54221875
transcript.pyannote[1301].end 7718.52096875
transcript.pyannote[1302].speaker SPEAKER_04
transcript.pyannote[1302].start 7718.89221875
transcript.pyannote[1302].end 7729.62471875
transcript.pyannote[1303].speaker SPEAKER_04
transcript.pyannote[1303].start 7729.94534375
transcript.pyannote[1303].end 7730.83971875
transcript.pyannote[1304].speaker SPEAKER_04
transcript.pyannote[1304].start 7731.21096875
transcript.pyannote[1304].end 7748.20409375
transcript.pyannote[1305].speaker SPEAKER_04
transcript.pyannote[1305].start 7748.47409375
transcript.pyannote[1305].end 7784.85659375
transcript.pyannote[1306].speaker SPEAKER_10
transcript.pyannote[1306].start 7785.29534375
transcript.pyannote[1306].end 7787.26971875
transcript.pyannote[1307].speaker SPEAKER_04
transcript.pyannote[1307].start 7786.08846875
transcript.pyannote[1307].end 7786.34159375
transcript.pyannote[1308].speaker SPEAKER_04
transcript.pyannote[1308].start 7787.35409375
transcript.pyannote[1308].end 7815.16409375
transcript.pyannote[1309].speaker SPEAKER_06
transcript.pyannote[1309].start 7814.06721875
transcript.pyannote[1309].end 7814.35409375
transcript.pyannote[1310].speaker SPEAKER_16
transcript.pyannote[1310].start 7814.35409375
transcript.pyannote[1310].end 7814.37096875
transcript.pyannote[1311].speaker SPEAKER_06
transcript.pyannote[1311].start 7814.37096875
transcript.pyannote[1311].end 7814.38784375
transcript.pyannote[1312].speaker SPEAKER_06
transcript.pyannote[1312].start 7817.29034375
transcript.pyannote[1312].end 7820.15909375
transcript.pyannote[1313].speaker SPEAKER_06
transcript.pyannote[1313].start 8233.64721875
transcript.pyannote[1313].end 8238.28784375
transcript.pyannote[1314].speaker SPEAKER_06
transcript.pyannote[1314].start 8239.57034375
transcript.pyannote[1314].end 8243.43471875
transcript.pyannote[1315].speaker SPEAKER_06
transcript.pyannote[1315].start 8244.21096875
transcript.pyannote[1315].end 8245.51034375
transcript.pyannote[1316].speaker SPEAKER_06
transcript.pyannote[1316].start 8246.28659375
transcript.pyannote[1316].end 8252.58096875
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 8266.77284375
transcript.pyannote[1317].end 8269.59096875
transcript.pyannote[1318].speaker SPEAKER_06
transcript.pyannote[1318].start 8270.01284375
transcript.pyannote[1318].end 8271.61596875
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 8271.76784375
transcript.pyannote[1319].end 8273.70846875
transcript.pyannote[1320].speaker SPEAKER_06
transcript.pyannote[1320].start 8273.99534375
transcript.pyannote[1320].end 8275.95284375
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 8275.95284375
transcript.pyannote[1321].end 8275.98659375
transcript.pyannote[1322].speaker SPEAKER_06
transcript.pyannote[1322].start 8275.98659375
transcript.pyannote[1322].end 8276.12159375
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 8276.57721875
transcript.pyannote[1323].end 8277.70784375
transcript.pyannote[1324].speaker SPEAKER_06
transcript.pyannote[1324].start 8277.70784375
transcript.pyannote[1324].end 8278.92284375
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 8277.74159375
transcript.pyannote[1325].end 8277.82596875
transcript.pyannote[1326].speaker SPEAKER_15
transcript.pyannote[1326].start 8283.78284375
transcript.pyannote[1326].end 8284.39034375
transcript.pyannote[1327].speaker SPEAKER_15
transcript.pyannote[1327].start 8285.45346875
transcript.pyannote[1327].end 8286.34784375
transcript.pyannote[1328].speaker SPEAKER_15
transcript.pyannote[1328].start 8286.73596875
transcript.pyannote[1328].end 8291.88284375
transcript.pyannote[1329].speaker SPEAKER_15
transcript.pyannote[1329].start 8292.49034375
transcript.pyannote[1329].end 8293.50284375
transcript.pyannote[1330].speaker SPEAKER_15
transcript.pyannote[1330].start 8294.68409375
transcript.pyannote[1330].end 8297.60346875
transcript.pyannote[1331].speaker SPEAKER_15
transcript.pyannote[1331].start 8298.22784375
transcript.pyannote[1331].end 8298.90284375
transcript.pyannote[1332].speaker SPEAKER_15
transcript.pyannote[1332].start 8299.61159375
transcript.pyannote[1332].end 8303.49284375
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 8303.76284375
transcript.pyannote[1333].end 8305.88909375
transcript.pyannote[1334].speaker SPEAKER_20
transcript.pyannote[1334].start 8306.80034375
transcript.pyannote[1334].end 8307.03659375
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 8307.47534375
transcript.pyannote[1335].end 8311.06971875
transcript.pyannote[1336].speaker SPEAKER_20
transcript.pyannote[1336].start 8308.30221875
transcript.pyannote[1336].end 8309.02784375
transcript.pyannote[1337].speaker SPEAKER_15
transcript.pyannote[1337].start 8311.33971875
transcript.pyannote[1337].end 8311.91346875
transcript.pyannote[1338].speaker SPEAKER_15
transcript.pyannote[1338].start 8312.18346875
transcript.pyannote[1338].end 8314.68096875
transcript.pyannote[1339].speaker SPEAKER_20
transcript.pyannote[1339].start 8314.81596875
transcript.pyannote[1339].end 8315.06909375
transcript.pyannote[1340].speaker SPEAKER_15
transcript.pyannote[1340].start 8315.49096875
transcript.pyannote[1340].end 8316.30096875
transcript.pyannote[1341].speaker SPEAKER_20
transcript.pyannote[1341].start 8316.58784375
transcript.pyannote[1341].end 8316.87471875
transcript.pyannote[1342].speaker SPEAKER_15
transcript.pyannote[1342].start 8317.09409375
transcript.pyannote[1342].end 8319.59159375
transcript.pyannote[1343].speaker SPEAKER_20
transcript.pyannote[1343].start 8319.70971875
transcript.pyannote[1343].end 8324.89034375
transcript.pyannote[1344].speaker SPEAKER_20
transcript.pyannote[1344].start 8325.29534375
transcript.pyannote[1344].end 8327.75909375
transcript.pyannote[1345].speaker SPEAKER_15
transcript.pyannote[1345].start 8328.13034375
transcript.pyannote[1345].end 8328.46784375
transcript.pyannote[1346].speaker SPEAKER_20
transcript.pyannote[1346].start 8328.46784375
transcript.pyannote[1346].end 8328.90659375
transcript.pyannote[1347].speaker SPEAKER_15
transcript.pyannote[1347].start 8329.91909375
transcript.pyannote[1347].end 8331.64034375
transcript.pyannote[1348].speaker SPEAKER_15
transcript.pyannote[1348].start 8331.92721875
transcript.pyannote[1348].end 8332.16346875
transcript.pyannote[1349].speaker SPEAKER_20
transcript.pyannote[1349].start 8334.03659375
transcript.pyannote[1349].end 8334.05346875
transcript.pyannote[1350].speaker SPEAKER_11
transcript.pyannote[1350].start 8334.05346875
transcript.pyannote[1350].end 8334.47534375
transcript.pyannote[1351].speaker SPEAKER_15
transcript.pyannote[1351].start 8334.47534375
transcript.pyannote[1351].end 8334.52596875
transcript.pyannote[1352].speaker SPEAKER_15
transcript.pyannote[1352].start 8334.61034375
transcript.pyannote[1352].end 8335.47096875
transcript.pyannote[1353].speaker SPEAKER_15
transcript.pyannote[1353].start 8336.82096875
transcript.pyannote[1353].end 8341.59659375
transcript.pyannote[1354].speaker SPEAKER_11
transcript.pyannote[1354].start 8338.96409375
transcript.pyannote[1354].end 8339.31846875
transcript.pyannote[1355].speaker SPEAKER_15
transcript.pyannote[1355].start 8342.42346875
transcript.pyannote[1355].end 8353.35846875
transcript.pyannote[1356].speaker SPEAKER_16
transcript.pyannote[1356].start 8353.54409375
transcript.pyannote[1356].end 8353.76346875
transcript.pyannote[1357].speaker SPEAKER_15
transcript.pyannote[1357].start 8354.26971875
transcript.pyannote[1357].end 8357.12159375
transcript.pyannote[1358].speaker SPEAKER_15
transcript.pyannote[1358].start 8357.96534375
transcript.pyannote[1358].end 8358.99471875
transcript.pyannote[1359].speaker SPEAKER_15
transcript.pyannote[1359].start 8359.31534375
transcript.pyannote[1359].end 8362.67346875
transcript.pyannote[1360].speaker SPEAKER_15
transcript.pyannote[1360].start 8363.93909375
transcript.pyannote[1360].end 8364.37784375
transcript.pyannote[1361].speaker SPEAKER_15
transcript.pyannote[1361].start 8365.12034375
transcript.pyannote[1361].end 8383.21034375
transcript.pyannote[1362].speaker SPEAKER_15
transcript.pyannote[1362].start 8383.96971875
transcript.pyannote[1362].end 8385.52221875
transcript.pyannote[1363].speaker SPEAKER_11
transcript.pyannote[1363].start 8385.92721875
transcript.pyannote[1363].end 8388.30659375
transcript.pyannote[1364].speaker SPEAKER_15
transcript.pyannote[1364].start 8388.45846875
transcript.pyannote[1364].end 8393.95971875
transcript.pyannote[1365].speaker SPEAKER_11
transcript.pyannote[1365].start 8394.34784375
transcript.pyannote[1365].end 8400.27096875
transcript.pyannote[1366].speaker SPEAKER_15
transcript.pyannote[1366].start 8400.40596875
transcript.pyannote[1366].end 8400.77721875
transcript.pyannote[1367].speaker SPEAKER_15
transcript.pyannote[1367].start 8401.57034375
transcript.pyannote[1367].end 8406.02534375
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 8406.76784375
transcript.pyannote[1368].end 8407.98284375
transcript.pyannote[1369].speaker SPEAKER_11
transcript.pyannote[1369].start 8408.69159375
transcript.pyannote[1369].end 8414.90159375
transcript.pyannote[1370].speaker SPEAKER_11
transcript.pyannote[1370].start 8415.20534375
transcript.pyannote[1370].end 8419.30596875
transcript.pyannote[1371].speaker SPEAKER_15
transcript.pyannote[1371].start 8418.56346875
transcript.pyannote[1371].end 8424.30096875
transcript.pyannote[1372].speaker SPEAKER_11
transcript.pyannote[1372].start 8421.39846875
transcript.pyannote[1372].end 8421.70221875
transcript.pyannote[1373].speaker SPEAKER_11
transcript.pyannote[1373].start 8423.28846875
transcript.pyannote[1373].end 8423.35596875
transcript.pyannote[1374].speaker SPEAKER_15
transcript.pyannote[1374].start 8424.95909375
transcript.pyannote[1374].end 8427.65909375
transcript.pyannote[1375].speaker SPEAKER_15
transcript.pyannote[1375].start 8428.28346875
transcript.pyannote[1375].end 8429.34659375
transcript.pyannote[1376].speaker SPEAKER_15
transcript.pyannote[1376].start 8430.19034375
transcript.pyannote[1376].end 8432.04659375
transcript.pyannote[1377].speaker SPEAKER_11
transcript.pyannote[1377].start 8432.40096875
transcript.pyannote[1377].end 8437.09221875
transcript.pyannote[1378].speaker SPEAKER_11
transcript.pyannote[1378].start 8437.29471875
transcript.pyannote[1378].end 8442.22221875
transcript.pyannote[1379].speaker SPEAKER_11
transcript.pyannote[1379].start 8442.47534375
transcript.pyannote[1379].end 8442.50909375
transcript.pyannote[1380].speaker SPEAKER_15
transcript.pyannote[1380].start 8442.50909375
transcript.pyannote[1380].end 8442.91409375
transcript.pyannote[1381].speaker SPEAKER_11
transcript.pyannote[1381].start 8443.09971875
transcript.pyannote[1381].end 8449.42784375
transcript.pyannote[1382].speaker SPEAKER_11
transcript.pyannote[1382].start 8450.18721875
transcript.pyannote[1382].end 8451.35159375
transcript.pyannote[1383].speaker SPEAKER_15
transcript.pyannote[1383].start 8452.41471875
transcript.pyannote[1383].end 8455.23284375
transcript.pyannote[1384].speaker SPEAKER_11
transcript.pyannote[1384].start 8455.73909375
transcript.pyannote[1384].end 8483.11034375
transcript.pyannote[1385].speaker SPEAKER_15
transcript.pyannote[1385].start 8460.91971875
transcript.pyannote[1385].end 8461.25721875
transcript.pyannote[1386].speaker SPEAKER_16
transcript.pyannote[1386].start 8461.25721875
transcript.pyannote[1386].end 8461.30784375
transcript.pyannote[1387].speaker SPEAKER_15
transcript.pyannote[1387].start 8482.68846875
transcript.pyannote[1387].end 8483.51534375
transcript.pyannote[1388].speaker SPEAKER_11
transcript.pyannote[1388].start 8483.80221875
transcript.pyannote[1388].end 8486.26596875
transcript.pyannote[1389].speaker SPEAKER_15
transcript.pyannote[1389].start 8485.69221875
transcript.pyannote[1389].end 8507.17409375
transcript.pyannote[1390].speaker SPEAKER_11
transcript.pyannote[1390].start 8487.34596875
transcript.pyannote[1390].end 8487.76784375
transcript.pyannote[1391].speaker SPEAKER_11
transcript.pyannote[1391].start 8493.65721875
transcript.pyannote[1391].end 8493.97784375
transcript.pyannote[1392].speaker SPEAKER_16
transcript.pyannote[1392].start 8493.97784375
transcript.pyannote[1392].end 8494.12971875
transcript.pyannote[1393].speaker SPEAKER_11
transcript.pyannote[1393].start 8494.12971875
transcript.pyannote[1393].end 8494.18034375
transcript.pyannote[1394].speaker SPEAKER_00
transcript.pyannote[1394].start 8494.18034375
transcript.pyannote[1394].end 8494.21409375
transcript.pyannote[1395].speaker SPEAKER_11
transcript.pyannote[1395].start 8500.37346875
transcript.pyannote[1395].end 8501.16659375
transcript.pyannote[1396].speaker SPEAKER_11
transcript.pyannote[1396].start 8506.90409375
transcript.pyannote[1396].end 8507.22471875
transcript.pyannote[1397].speaker SPEAKER_10
transcript.pyannote[1397].start 8507.22471875
transcript.pyannote[1397].end 8507.24159375
transcript.pyannote[1398].speaker SPEAKER_15
transcript.pyannote[1398].start 8507.24159375
transcript.pyannote[1398].end 8507.25846875
transcript.pyannote[1399].speaker SPEAKER_15
transcript.pyannote[1399].start 8507.56221875
transcript.pyannote[1399].end 8510.56596875
transcript.pyannote[1400].speaker SPEAKER_10
transcript.pyannote[1400].start 8510.56596875
transcript.pyannote[1400].end 8510.98784375
transcript.pyannote[1401].speaker SPEAKER_15
transcript.pyannote[1401].start 8510.98784375
transcript.pyannote[1401].end 8512.70909375
transcript.pyannote[1402].speaker SPEAKER_10
transcript.pyannote[1402].start 8514.12659375
transcript.pyannote[1402].end 8514.91971875
transcript.pyannote[1403].speaker SPEAKER_15
transcript.pyannote[1403].start 8514.91971875
transcript.pyannote[1403].end 8520.94409375
transcript.pyannote[1404].speaker SPEAKER_10
transcript.pyannote[1404].start 8521.73721875
transcript.pyannote[1404].end 8525.28096875
transcript.pyannote[1405].speaker SPEAKER_15
transcript.pyannote[1405].start 8525.01096875
transcript.pyannote[1405].end 8533.60034375
transcript.pyannote[1406].speaker SPEAKER_10
transcript.pyannote[1406].start 8527.17096875
transcript.pyannote[1406].end 8528.31846875
transcript.pyannote[1407].speaker SPEAKER_10
transcript.pyannote[1407].start 8529.07784375
transcript.pyannote[1407].end 8529.61784375
transcript.pyannote[1408].speaker SPEAKER_10
transcript.pyannote[1408].start 8533.60034375
transcript.pyannote[1408].end 8534.29221875
transcript.pyannote[1409].speaker SPEAKER_15
transcript.pyannote[1409].start 8534.29221875
transcript.pyannote[1409].end 8538.94971875
transcript.pyannote[1410].speaker SPEAKER_10
transcript.pyannote[1410].start 8539.70909375
transcript.pyannote[1410].end 8547.20159375
transcript.pyannote[1411].speaker SPEAKER_15
transcript.pyannote[1411].start 8542.57784375
transcript.pyannote[1411].end 8542.98284375
transcript.pyannote[1412].speaker SPEAKER_10
transcript.pyannote[1412].start 8547.55596875
transcript.pyannote[1412].end 8549.02409375
transcript.pyannote[1413].speaker SPEAKER_10
transcript.pyannote[1413].start 8549.58096875
transcript.pyannote[1413].end 8552.02784375
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 8552.58471875
transcript.pyannote[1414].end 8553.76596875
transcript.pyannote[1415].speaker SPEAKER_10
transcript.pyannote[1415].start 8553.46221875
transcript.pyannote[1415].end 8554.57596875
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 8554.86284375
transcript.pyannote[1416].end 8557.17471875
transcript.pyannote[1417].speaker SPEAKER_10
transcript.pyannote[1417].start 8555.79096875
transcript.pyannote[1417].end 8555.94284375
transcript.pyannote[1418].speaker SPEAKER_10
transcript.pyannote[1418].start 8557.88346875
transcript.pyannote[1418].end 8561.00534375
transcript.pyannote[1419].speaker SPEAKER_15
transcript.pyannote[1419].start 8561.08971875
transcript.pyannote[1419].end 8572.02471875
transcript.pyannote[1420].speaker SPEAKER_10
transcript.pyannote[1420].start 8572.49721875
transcript.pyannote[1420].end 8573.76284375
transcript.pyannote[1421].speaker SPEAKER_10
transcript.pyannote[1421].start 8574.04971875
transcript.pyannote[1421].end 8575.85534375
transcript.pyannote[1422].speaker SPEAKER_15
transcript.pyannote[1422].start 8576.19284375
transcript.pyannote[1422].end 8581.72784375
transcript.pyannote[1423].speaker SPEAKER_10
transcript.pyannote[1423].start 8582.14971875
transcript.pyannote[1423].end 8587.06034375
transcript.pyannote[1424].speaker SPEAKER_15
transcript.pyannote[1424].start 8587.24596875
transcript.pyannote[1424].end 8589.70971875
transcript.pyannote[1425].speaker SPEAKER_10
transcript.pyannote[1425].start 8590.09784375
transcript.pyannote[1425].end 8591.21159375
transcript.pyannote[1426].speaker SPEAKER_15
transcript.pyannote[1426].start 8590.77284375
transcript.pyannote[1426].end 8593.62471875
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 8592.13971875
transcript.pyannote[1427].end 8594.02971875
transcript.pyannote[1428].speaker SPEAKER_15
transcript.pyannote[1428].start 8593.92846875
transcript.pyannote[1428].end 8608.20471875
transcript.pyannote[1429].speaker SPEAKER_10
transcript.pyannote[1429].start 8608.71096875
transcript.pyannote[1429].end 8611.36034375
transcript.pyannote[1430].speaker SPEAKER_15
transcript.pyannote[1430].start 8610.65159375
transcript.pyannote[1430].end 8612.10284375
transcript.pyannote[1431].speaker SPEAKER_10
transcript.pyannote[1431].start 8611.37721875
transcript.pyannote[1431].end 8611.39409375
transcript.pyannote[1432].speaker SPEAKER_10
transcript.pyannote[1432].start 8612.06909375
transcript.pyannote[1432].end 8615.81534375
transcript.pyannote[1433].speaker SPEAKER_10
transcript.pyannote[1433].start 8615.96721875
transcript.pyannote[1433].end 8619.17346875
transcript.pyannote[1434].speaker SPEAKER_15
transcript.pyannote[1434].start 8619.71346875
transcript.pyannote[1434].end 8621.90721875
transcript.pyannote[1435].speaker SPEAKER_10
transcript.pyannote[1435].start 8621.90721875
transcript.pyannote[1435].end 8623.12221875
transcript.pyannote[1436].speaker SPEAKER_15
transcript.pyannote[1436].start 8622.54846875
transcript.pyannote[1436].end 8623.24034375
transcript.pyannote[1437].speaker SPEAKER_10
transcript.pyannote[1437].start 8623.57784375
transcript.pyannote[1437].end 8626.53096875
transcript.pyannote[1438].speaker SPEAKER_15
transcript.pyannote[1438].start 8626.53096875
transcript.pyannote[1438].end 8637.24659375
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 8636.79096875
transcript.pyannote[1439].end 8637.56721875
transcript.pyannote[1440].speaker SPEAKER_15
transcript.pyannote[1440].start 8637.51659375
transcript.pyannote[1440].end 8643.13596875
transcript.pyannote[1441].speaker SPEAKER_10
transcript.pyannote[1441].start 8643.50721875
transcript.pyannote[1441].end 8643.96284375
transcript.pyannote[1442].speaker SPEAKER_15
transcript.pyannote[1442].start 8644.16534375
transcript.pyannote[1442].end 8644.82346875
transcript.pyannote[1443].speaker SPEAKER_10
transcript.pyannote[1443].start 8645.51534375
transcript.pyannote[1443].end 8647.75971875
transcript.pyannote[1444].speaker SPEAKER_15
transcript.pyannote[1444].start 8647.37159375
transcript.pyannote[1444].end 8653.17659375
transcript.pyannote[1445].speaker SPEAKER_10
transcript.pyannote[1445].start 8649.95346875
transcript.pyannote[1445].end 8650.17284375
transcript.pyannote[1446].speaker SPEAKER_10
transcript.pyannote[1446].start 8650.83096875
transcript.pyannote[1446].end 8651.18534375
transcript.pyannote[1447].speaker SPEAKER_15
transcript.pyannote[1447].start 8653.19346875
transcript.pyannote[1447].end 8653.21034375
transcript.pyannote[1448].speaker SPEAKER_10
transcript.pyannote[1448].start 8653.21034375
transcript.pyannote[1448].end 8653.24409375
transcript.pyannote[1449].speaker SPEAKER_16
transcript.pyannote[1449].start 8653.24409375
transcript.pyannote[1449].end 8653.66596875
transcript.pyannote[1450].speaker SPEAKER_15
transcript.pyannote[1450].start 8653.63221875
transcript.pyannote[1450].end 8667.62159375
transcript.pyannote[1451].speaker SPEAKER_10
transcript.pyannote[1451].start 8653.66596875
transcript.pyannote[1451].end 8653.69971875
transcript.pyannote[1452].speaker SPEAKER_16
transcript.pyannote[1452].start 8653.69971875
transcript.pyannote[1452].end 8653.71659375
transcript.pyannote[1453].speaker SPEAKER_10
transcript.pyannote[1453].start 8667.73971875
transcript.pyannote[1453].end 8669.47784375
transcript.pyannote[1454].speaker SPEAKER_15
transcript.pyannote[1454].start 8669.08971875
transcript.pyannote[1454].end 8680.81784375
transcript.pyannote[1455].speaker SPEAKER_10
transcript.pyannote[1455].start 8681.44221875
transcript.pyannote[1455].end 8685.40784375
transcript.pyannote[1456].speaker SPEAKER_10
transcript.pyannote[1456].start 8685.79596875
transcript.pyannote[1456].end 8688.71534375
transcript.pyannote[1457].speaker SPEAKER_15
transcript.pyannote[1457].start 8687.26409375
transcript.pyannote[1457].end 8688.47909375
transcript.pyannote[1458].speaker SPEAKER_10
transcript.pyannote[1458].start 8689.28909375
transcript.pyannote[1458].end 8692.02284375
transcript.pyannote[1459].speaker SPEAKER_15
transcript.pyannote[1459].start 8691.63471875
transcript.pyannote[1459].end 8692.00596875
transcript.pyannote[1460].speaker SPEAKER_15
transcript.pyannote[1460].start 8692.02284375
transcript.pyannote[1460].end 8693.13659375
transcript.pyannote[1461].speaker SPEAKER_10
transcript.pyannote[1461].start 8693.67659375
transcript.pyannote[1461].end 8694.36846875
transcript.pyannote[1462].speaker SPEAKER_10
transcript.pyannote[1462].start 8696.14034375
transcript.pyannote[1462].end 8698.48596875
transcript.pyannote[1463].speaker SPEAKER_15
transcript.pyannote[1463].start 8698.16534375
transcript.pyannote[1463].end 8708.64471875
transcript.pyannote[1464].speaker SPEAKER_10
transcript.pyannote[1464].start 8708.77971875
transcript.pyannote[1464].end 8711.29409375
transcript.pyannote[1465].speaker SPEAKER_15
transcript.pyannote[1465].start 8711.59784375
transcript.pyannote[1465].end 8715.07409375
transcript.pyannote[1466].speaker SPEAKER_15
transcript.pyannote[1466].start 8715.64784375
transcript.pyannote[1466].end 8721.50346875
transcript.pyannote[1467].speaker SPEAKER_15
transcript.pyannote[1467].start 8721.77346875
transcript.pyannote[1467].end 8733.46784375
transcript.pyannote[1468].speaker SPEAKER_10
transcript.pyannote[1468].start 8734.15971875
transcript.pyannote[1468].end 8742.29346875
transcript.pyannote[1469].speaker SPEAKER_15
transcript.pyannote[1469].start 8742.29346875
transcript.pyannote[1469].end 8743.22159375
transcript.pyannote[1470].speaker SPEAKER_10
transcript.pyannote[1470].start 8743.22159375
transcript.pyannote[1470].end 8745.14534375
transcript.pyannote[1471].speaker SPEAKER_15
transcript.pyannote[1471].start 8745.14534375
transcript.pyannote[1471].end 8764.39971875
transcript.pyannote[1472].speaker SPEAKER_10
transcript.pyannote[1472].start 8764.39971875
transcript.pyannote[1472].end 8764.43346875
transcript.pyannote[1473].speaker SPEAKER_10
transcript.pyannote[1473].start 8764.60221875
transcript.pyannote[1473].end 8765.04096875
transcript.pyannote[1474].speaker SPEAKER_15
transcript.pyannote[1474].start 8765.04096875
transcript.pyannote[1474].end 8765.95221875
transcript.pyannote[1475].speaker SPEAKER_10
transcript.pyannote[1475].start 8765.95221875
transcript.pyannote[1475].end 8765.96909375
transcript.pyannote[1476].speaker SPEAKER_10
transcript.pyannote[1476].start 8766.54284375
transcript.pyannote[1476].end 8772.61784375
transcript.pyannote[1477].speaker SPEAKER_15
transcript.pyannote[1477].start 8772.61784375
transcript.pyannote[1477].end 8772.73596875
transcript.pyannote[1478].speaker SPEAKER_10
transcript.pyannote[1478].start 8772.73596875
transcript.pyannote[1478].end 8772.87096875
transcript.pyannote[1479].speaker SPEAKER_15
transcript.pyannote[1479].start 8772.87096875
transcript.pyannote[1479].end 8772.97221875
transcript.pyannote[1480].speaker SPEAKER_10
transcript.pyannote[1480].start 8772.97221875
transcript.pyannote[1480].end 8773.02284375
transcript.pyannote[1481].speaker SPEAKER_15
transcript.pyannote[1481].start 8773.02284375
transcript.pyannote[1481].end 8774.44034375
transcript.pyannote[1482].speaker SPEAKER_15
transcript.pyannote[1482].start 8774.77784375
transcript.pyannote[1482].end 8788.19346875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 8789.03721875
transcript.pyannote[1483].end 8795.39909375
transcript.pyannote[1484].speaker SPEAKER_10
transcript.pyannote[1484].start 8796.09096875
transcript.pyannote[1484].end 8811.27846875
transcript.pyannote[1485].speaker SPEAKER_10
transcript.pyannote[1485].start 8811.75096875
transcript.pyannote[1485].end 8816.03721875
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 8816.03721875
transcript.pyannote[1486].end 8819.68221875
transcript.pyannote[1487].speaker SPEAKER_16
transcript.pyannote[1487].start 8819.68221875
transcript.pyannote[1487].end 8819.83409375
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 8819.83409375
transcript.pyannote[1488].end 8825.55471875
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 8826.14534375
transcript.pyannote[1489].end 8834.70096875
transcript.pyannote[1490].speaker SPEAKER_15
transcript.pyannote[1490].start 8834.85284375
transcript.pyannote[1490].end 8845.80471875
transcript.pyannote[1491].speaker SPEAKER_16
transcript.pyannote[1491].start 8835.08909375
transcript.pyannote[1491].end 8835.25784375
transcript.pyannote[1492].speaker SPEAKER_16
transcript.pyannote[1492].start 8845.45034375
transcript.pyannote[1492].end 8845.53471875
transcript.pyannote[1493].speaker SPEAKER_16
transcript.pyannote[1493].start 8845.58534375
transcript.pyannote[1493].end 8845.68659375
transcript.pyannote[1494].speaker SPEAKER_16
transcript.pyannote[1494].start 8845.80471875
transcript.pyannote[1494].end 8845.88909375
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 8845.88909375
transcript.pyannote[1495].end 8849.85471875
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 8850.15846875
transcript.pyannote[1496].end 8861.00909375
transcript.pyannote[1497].speaker SPEAKER_10
transcript.pyannote[1497].start 8856.03096875
transcript.pyannote[1497].end 8856.06471875
transcript.pyannote[1498].speaker SPEAKER_06
transcript.pyannote[1498].start 8856.06471875
transcript.pyannote[1498].end 8856.35159375
transcript.pyannote[1499].speaker SPEAKER_16
transcript.pyannote[1499].start 8860.16534375
transcript.pyannote[1499].end 8860.30034375
transcript.pyannote[1500].speaker SPEAKER_06
transcript.pyannote[1500].start 8863.38846875
transcript.pyannote[1500].end 8867.25284375
transcript.pyannote[1501].speaker SPEAKER_05
transcript.pyannote[1501].start 8875.82534375
transcript.pyannote[1501].end 8880.95534375
transcript.pyannote[1502].speaker SPEAKER_05
transcript.pyannote[1502].start 8882.20409375
transcript.pyannote[1502].end 8884.00971875
transcript.pyannote[1503].speaker SPEAKER_05
transcript.pyannote[1503].start 8884.76909375
transcript.pyannote[1503].end 8889.20721875
transcript.pyannote[1504].speaker SPEAKER_16
transcript.pyannote[1504].start 8887.72221875
transcript.pyannote[1504].end 8887.97534375
transcript.pyannote[1505].speaker SPEAKER_00
transcript.pyannote[1505].start 8887.97534375
transcript.pyannote[1505].end 8888.68409375
transcript.pyannote[1506].speaker SPEAKER_05
transcript.pyannote[1506].start 8897.15534375
transcript.pyannote[1506].end 8910.03096875
transcript.pyannote[1507].speaker SPEAKER_05
transcript.pyannote[1507].start 8911.51596875
transcript.pyannote[1507].end 8916.54471875
transcript.pyannote[1508].speaker SPEAKER_05
transcript.pyannote[1508].start 8916.94971875
transcript.pyannote[1508].end 8922.58596875
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 8922.95721875
transcript.pyannote[1509].end 8930.12909375
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 8930.73659375
transcript.pyannote[1510].end 8933.25096875
transcript.pyannote[1511].speaker SPEAKER_05
transcript.pyannote[1511].start 8933.85846875
transcript.pyannote[1511].end 8943.12284375
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 8943.54471875
transcript.pyannote[1512].end 8951.07096875
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 8951.13846875
transcript.pyannote[1513].end 8955.52596875
transcript.pyannote[1514].speaker SPEAKER_05
transcript.pyannote[1514].start 8956.36971875
transcript.pyannote[1514].end 8957.83784375
transcript.pyannote[1515].speaker SPEAKER_05
transcript.pyannote[1515].start 8958.42846875
transcript.pyannote[1515].end 8964.97596875
transcript.pyannote[1516].speaker SPEAKER_05
transcript.pyannote[1516].start 8965.38096875
transcript.pyannote[1516].end 8969.61659375
transcript.pyannote[1517].speaker SPEAKER_23
transcript.pyannote[1517].start 8970.19034375
transcript.pyannote[1517].end 8972.40096875
transcript.pyannote[1518].speaker SPEAKER_05
transcript.pyannote[1518].start 8973.12659375
transcript.pyannote[1518].end 8973.59909375
transcript.pyannote[1519].speaker SPEAKER_05
transcript.pyannote[1519].start 8974.25721875
transcript.pyannote[1519].end 8984.41596875
transcript.pyannote[1520].speaker SPEAKER_23
transcript.pyannote[1520].start 8975.40471875
transcript.pyannote[1520].end 8976.02909375
transcript.pyannote[1521].speaker SPEAKER_23
transcript.pyannote[1521].start 8977.58159375
transcript.pyannote[1521].end 8978.22284375
transcript.pyannote[1522].speaker SPEAKER_05
transcript.pyannote[1522].start 8984.80409375
transcript.pyannote[1522].end 8991.36846875
transcript.pyannote[1523].speaker SPEAKER_05
transcript.pyannote[1523].start 8991.73971875
transcript.pyannote[1523].end 8998.75971875
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 8999.55284375
transcript.pyannote[1524].end 8999.94096875
transcript.pyannote[1525].speaker SPEAKER_05
transcript.pyannote[1525].start 9000.39659375
transcript.pyannote[1525].end 9004.10909375
transcript.pyannote[1526].speaker SPEAKER_20
transcript.pyannote[1526].start 9004.69971875
transcript.pyannote[1526].end 9006.33659375
transcript.pyannote[1527].speaker SPEAKER_20
transcript.pyannote[1527].start 9006.53909375
transcript.pyannote[1527].end 9010.75784375
transcript.pyannote[1528].speaker SPEAKER_20
transcript.pyannote[1528].start 9010.85909375
transcript.pyannote[1528].end 9012.19221875
transcript.pyannote[1529].speaker SPEAKER_20
transcript.pyannote[1529].start 9012.51284375
transcript.pyannote[1529].end 9015.02721875
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 9015.31409375
transcript.pyannote[1530].end 9017.81159375
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 9018.16596875
transcript.pyannote[1531].end 9018.62159375
transcript.pyannote[1532].speaker SPEAKER_20
transcript.pyannote[1532].start 9018.99284375
transcript.pyannote[1532].end 9020.88284375
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 9021.15284375
transcript.pyannote[1533].end 9022.68846875
transcript.pyannote[1534].speaker SPEAKER_20
transcript.pyannote[1534].start 9023.00909375
transcript.pyannote[1534].end 9025.03409375
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 9025.18596875
transcript.pyannote[1535].end 9029.70846875
transcript.pyannote[1536].speaker SPEAKER_05
transcript.pyannote[1536].start 9029.70846875
transcript.pyannote[1536].end 9042.11159375
transcript.pyannote[1537].speaker SPEAKER_05
transcript.pyannote[1537].start 9042.39846875
transcript.pyannote[1537].end 9096.33096875
transcript.pyannote[1538].speaker SPEAKER_05
transcript.pyannote[1538].start 9096.65159375
transcript.pyannote[1538].end 9103.45221875
transcript.pyannote[1539].speaker SPEAKER_05
transcript.pyannote[1539].start 9104.26221875
transcript.pyannote[1539].end 9104.81909375
transcript.pyannote[1540].speaker SPEAKER_05
transcript.pyannote[1540].start 9105.62909375
transcript.pyannote[1540].end 9106.91159375
transcript.pyannote[1541].speaker SPEAKER_05
transcript.pyannote[1541].start 9107.51909375
transcript.pyannote[1541].end 9142.88909375
transcript.pyannote[1542].speaker SPEAKER_00
transcript.pyannote[1542].start 9109.61159375
transcript.pyannote[1542].end 9109.91534375
transcript.pyannote[1543].speaker SPEAKER_00
transcript.pyannote[1543].start 9130.46909375
transcript.pyannote[1543].end 9130.92471875
transcript.pyannote[1544].speaker SPEAKER_00
transcript.pyannote[1544].start 9139.61534375
transcript.pyannote[1544].end 9139.83471875
transcript.pyannote[1545].speaker SPEAKER_00
transcript.pyannote[1545].start 9139.86846875
transcript.pyannote[1545].end 9139.91909375
transcript.pyannote[1546].speaker SPEAKER_05
transcript.pyannote[1546].start 9143.44596875
transcript.pyannote[1546].end 9149.58846875
transcript.pyannote[1547].speaker SPEAKER_23
transcript.pyannote[1547].start 9149.89221875
transcript.pyannote[1547].end 9155.91659375
transcript.pyannote[1548].speaker SPEAKER_05
transcript.pyannote[1548].start 9156.01784375
transcript.pyannote[1548].end 9164.16846875
transcript.pyannote[1549].speaker SPEAKER_05
transcript.pyannote[1549].start 9164.42159375
transcript.pyannote[1549].end 9171.82971875
transcript.pyannote[1550].speaker SPEAKER_00
transcript.pyannote[1550].start 9169.06221875
transcript.pyannote[1550].end 9169.53471875
transcript.pyannote[1551].speaker SPEAKER_05
transcript.pyannote[1551].start 9172.20096875
transcript.pyannote[1551].end 9188.36721875
transcript.pyannote[1552].speaker SPEAKER_05
transcript.pyannote[1552].start 9188.80596875
transcript.pyannote[1552].end 9204.49971875
transcript.pyannote[1553].speaker SPEAKER_23
transcript.pyannote[1553].start 9204.49971875
transcript.pyannote[1553].end 9209.62971875
transcript.pyannote[1554].speaker SPEAKER_05
transcript.pyannote[1554].start 9208.93784375
transcript.pyannote[1554].end 9210.67596875
transcript.pyannote[1555].speaker SPEAKER_23
transcript.pyannote[1555].start 9210.20346875
transcript.pyannote[1555].end 9213.42659375
transcript.pyannote[1556].speaker SPEAKER_05
transcript.pyannote[1556].start 9212.31284375
transcript.pyannote[1556].end 9221.59409375
transcript.pyannote[1557].speaker SPEAKER_23
transcript.pyannote[1557].start 9221.40846875
transcript.pyannote[1557].end 9223.33221875
transcript.pyannote[1558].speaker SPEAKER_05
transcript.pyannote[1558].start 9222.37034375
transcript.pyannote[1558].end 9222.77534375
transcript.pyannote[1559].speaker SPEAKER_05
transcript.pyannote[1559].start 9223.33221875
transcript.pyannote[1559].end 9226.08284375
transcript.pyannote[1560].speaker SPEAKER_05
transcript.pyannote[1560].start 9227.41596875
transcript.pyannote[1560].end 9235.81971875
transcript.pyannote[1561].speaker SPEAKER_23
transcript.pyannote[1561].start 9228.46221875
transcript.pyannote[1561].end 9228.61409375
transcript.pyannote[1562].speaker SPEAKER_05
transcript.pyannote[1562].start 9236.02221875
transcript.pyannote[1562].end 9244.37534375
transcript.pyannote[1563].speaker SPEAKER_05
transcript.pyannote[1563].start 9244.66221875
transcript.pyannote[1563].end 9254.23034375
transcript.pyannote[1564].speaker SPEAKER_05
transcript.pyannote[1564].start 9255.54659375
transcript.pyannote[1564].end 9277.90596875
transcript.pyannote[1565].speaker SPEAKER_02
transcript.pyannote[1565].start 9278.83409375
transcript.pyannote[1565].end 9278.98596875
transcript.pyannote[1566].speaker SPEAKER_02
transcript.pyannote[1566].start 9279.40784375
transcript.pyannote[1566].end 9287.33909375
transcript.pyannote[1567].speaker SPEAKER_05
transcript.pyannote[1567].start 9282.78284375
transcript.pyannote[1567].end 9283.06971875
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 9287.54159375
transcript.pyannote[1568].end 9288.80721875
transcript.pyannote[1569].speaker SPEAKER_02
transcript.pyannote[1569].start 9288.57096875
transcript.pyannote[1569].end 9301.42971875
transcript.pyannote[1570].speaker SPEAKER_05
transcript.pyannote[1570].start 9301.63221875
transcript.pyannote[1570].end 9321.93284375
transcript.pyannote[1571].speaker SPEAKER_02
transcript.pyannote[1571].start 9304.33221875
transcript.pyannote[1571].end 9304.58534375
transcript.pyannote[1572].speaker SPEAKER_05
transcript.pyannote[1572].start 9322.60784375
transcript.pyannote[1572].end 9323.38409375
transcript.pyannote[1573].speaker SPEAKER_05
transcript.pyannote[1573].start 9324.26159375
transcript.pyannote[1573].end 9349.60784375
transcript.pyannote[1574].speaker SPEAKER_05
transcript.pyannote[1574].start 9350.56971875
transcript.pyannote[1574].end 9351.76784375
transcript.pyannote[1575].speaker SPEAKER_05
transcript.pyannote[1575].start 9351.81846875
transcript.pyannote[1575].end 9353.87721875
transcript.pyannote[1576].speaker SPEAKER_05
transcript.pyannote[1576].start 9354.80534375
transcript.pyannote[1576].end 9357.99471875
transcript.pyannote[1577].speaker SPEAKER_05
transcript.pyannote[1577].start 9358.85534375
transcript.pyannote[1577].end 9361.16721875
transcript.pyannote[1578].speaker SPEAKER_05
transcript.pyannote[1578].start 9363.41159375
transcript.pyannote[1578].end 9364.33971875
transcript.pyannote[1579].speaker SPEAKER_20
transcript.pyannote[1579].start 9364.77846875
transcript.pyannote[1579].end 9371.96721875
transcript.pyannote[1580].speaker SPEAKER_05
transcript.pyannote[1580].start 9371.96721875
transcript.pyannote[1580].end 9381.11346875
transcript.pyannote[1581].speaker SPEAKER_04
transcript.pyannote[1581].start 9376.42221875
transcript.pyannote[1581].end 9376.96221875
transcript.pyannote[1582].speaker SPEAKER_04
transcript.pyannote[1582].start 9377.41784375
transcript.pyannote[1582].end 9377.45159375
transcript.pyannote[1583].speaker SPEAKER_05
transcript.pyannote[1583].start 9382.00784375
transcript.pyannote[1583].end 9382.49721875
transcript.pyannote[1584].speaker SPEAKER_10
transcript.pyannote[1584].start 9383.12159375
transcript.pyannote[1584].end 9383.59409375
transcript.pyannote[1585].speaker SPEAKER_10
transcript.pyannote[1585].start 9384.03284375
transcript.pyannote[1585].end 9387.84659375
transcript.pyannote[1586].speaker SPEAKER_10
transcript.pyannote[1586].start 9388.16721875
transcript.pyannote[1586].end 9392.48721875
transcript.pyannote[1587].speaker SPEAKER_10
transcript.pyannote[1587].start 9392.85846875
transcript.pyannote[1587].end 9395.03534375
transcript.pyannote[1588].speaker SPEAKER_05
transcript.pyannote[1588].start 9395.03534375
transcript.pyannote[1588].end 9401.93721875
transcript.pyannote[1589].speaker SPEAKER_05
transcript.pyannote[1589].start 9402.07221875
transcript.pyannote[1589].end 9404.14784375
transcript.pyannote[1590].speaker SPEAKER_00
transcript.pyannote[1590].start 9402.56159375
transcript.pyannote[1590].end 9402.86534375
transcript.pyannote[1591].speaker SPEAKER_05
transcript.pyannote[1591].start 9404.78909375
transcript.pyannote[1591].end 9408.24846875
transcript.pyannote[1592].speaker SPEAKER_05
transcript.pyannote[1592].start 9408.28221875
transcript.pyannote[1592].end 9423.53721875
transcript.pyannote[1593].speaker SPEAKER_05
transcript.pyannote[1593].start 9424.09409375
transcript.pyannote[1593].end 9445.06971875
transcript.pyannote[1594].speaker SPEAKER_00
transcript.pyannote[1594].start 9427.77284375
transcript.pyannote[1594].end 9427.80659375
transcript.pyannote[1595].speaker SPEAKER_05
transcript.pyannote[1595].start 9445.67721875
transcript.pyannote[1595].end 9446.45346875
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 9446.95971875
transcript.pyannote[1596].end 9461.99534375
transcript.pyannote[1597].speaker SPEAKER_05
transcript.pyannote[1597].start 9462.31596875
transcript.pyannote[1597].end 9464.84721875
transcript.pyannote[1598].speaker SPEAKER_05
transcript.pyannote[1598].start 9465.74159375
transcript.pyannote[1598].end 9489.65346875
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 9490.26096875
transcript.pyannote[1599].end 9498.02346875
transcript.pyannote[1600].speaker SPEAKER_05
transcript.pyannote[1600].start 9498.71534375
transcript.pyannote[1600].end 9499.94721875
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 9500.25096875
transcript.pyannote[1601].end 9501.44909375
transcript.pyannote[1602].speaker SPEAKER_05
transcript.pyannote[1602].start 9502.02284375
transcript.pyannote[1602].end 9511.57409375
transcript.pyannote[1603].speaker SPEAKER_05
transcript.pyannote[1603].start 9512.06346875
transcript.pyannote[1603].end 9512.82284375
transcript.pyannote[1604].speaker SPEAKER_05
transcript.pyannote[1604].start 9513.02534375
transcript.pyannote[1604].end 9514.10534375
transcript.pyannote[1605].speaker SPEAKER_05
transcript.pyannote[1605].start 9514.35846875
transcript.pyannote[1605].end 9515.97846875
transcript.pyannote[1606].speaker SPEAKER_05
transcript.pyannote[1606].start 9516.36659375
transcript.pyannote[1606].end 9517.86846875
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 9518.61096875
transcript.pyannote[1607].end 9519.37034375
transcript.pyannote[1608].speaker SPEAKER_05
transcript.pyannote[1608].start 9519.43784375
transcript.pyannote[1608].end 9520.19721875
transcript.pyannote[1609].speaker SPEAKER_05
transcript.pyannote[1609].start 9520.77096875
transcript.pyannote[1609].end 9521.69909375
transcript.pyannote[1610].speaker SPEAKER_05
transcript.pyannote[1610].start 9522.44159375
transcript.pyannote[1610].end 9522.99846875
transcript.pyannote[1611].speaker SPEAKER_05
transcript.pyannote[1611].start 9523.62284375
transcript.pyannote[1611].end 9525.19221875
transcript.pyannote[1612].speaker SPEAKER_05
transcript.pyannote[1612].start 9526.00221875
transcript.pyannote[1612].end 9533.46096875
transcript.pyannote[1613].speaker SPEAKER_05
transcript.pyannote[1613].start 9534.06846875
transcript.pyannote[1613].end 9537.76409375
transcript.pyannote[1614].speaker SPEAKER_05
transcript.pyannote[1614].start 9538.50659375
transcript.pyannote[1614].end 9559.66784375
transcript.pyannote[1615].speaker SPEAKER_05
transcript.pyannote[1615].start 9560.34284375
transcript.pyannote[1615].end 9575.98596875
transcript.pyannote[1616].speaker SPEAKER_05
transcript.pyannote[1616].start 9576.32346875
transcript.pyannote[1616].end 9577.26846875
transcript.pyannote[1617].speaker SPEAKER_05
transcript.pyannote[1617].start 9577.84221875
transcript.pyannote[1617].end 9588.03471875
transcript.pyannote[1618].speaker SPEAKER_05
transcript.pyannote[1618].start 9588.50721875
transcript.pyannote[1618].end 9592.87784375
transcript.pyannote[1619].speaker SPEAKER_05
transcript.pyannote[1619].start 9594.02534375
transcript.pyannote[1619].end 9594.44721875
transcript.pyannote[1620].speaker SPEAKER_05
transcript.pyannote[1620].start 9595.15596875
transcript.pyannote[1620].end 9610.51221875
transcript.pyannote[1621].speaker SPEAKER_05
transcript.pyannote[1621].start 9611.03534375
transcript.pyannote[1621].end 9623.80971875
transcript.pyannote[1622].speaker SPEAKER_05
transcript.pyannote[1622].start 9624.14721875
transcript.pyannote[1622].end 9637.44471875
transcript.pyannote[1623].speaker SPEAKER_05
transcript.pyannote[1623].start 9638.00159375
transcript.pyannote[1623].end 9640.04346875
transcript.pyannote[1624].speaker SPEAKER_05
transcript.pyannote[1624].start 9640.41471875
transcript.pyannote[1624].end 9648.37971875
transcript.pyannote[1625].speaker SPEAKER_05
transcript.pyannote[1625].start 9649.12221875
transcript.pyannote[1625].end 9651.02909375
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 9651.31596875
transcript.pyannote[1626].end 9666.77346875
transcript.pyannote[1627].speaker SPEAKER_05
transcript.pyannote[1627].start 9666.95909375
transcript.pyannote[1627].end 9683.73284375
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 9684.25596875
transcript.pyannote[1628].end 9685.21784375
transcript.pyannote[1629].speaker SPEAKER_05
transcript.pyannote[1629].start 9685.77471875
transcript.pyannote[1629].end 9691.64721875
transcript.pyannote[1630].speaker SPEAKER_05
transcript.pyannote[1630].start 9692.10284375
transcript.pyannote[1630].end 9698.05971875
transcript.pyannote[1631].speaker SPEAKER_05
transcript.pyannote[1631].start 9698.65034375
transcript.pyannote[1631].end 9700.23659375
transcript.pyannote[1632].speaker SPEAKER_05
transcript.pyannote[1632].start 9701.95784375
transcript.pyannote[1632].end 9707.40846875
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 9708.89346875
transcript.pyannote[1633].end 9710.19284375
transcript.pyannote[1634].speaker SPEAKER_05
transcript.pyannote[1634].start 9710.53034375
transcript.pyannote[1634].end 9711.81284375
transcript.pyannote[1635].speaker SPEAKER_05
transcript.pyannote[1635].start 9712.70721875
transcript.pyannote[1635].end 9713.28096875
transcript.pyannote[1636].speaker SPEAKER_05
transcript.pyannote[1636].start 9713.73659375
transcript.pyannote[1636].end 9718.07346875
transcript.pyannote[1637].speaker SPEAKER_05
transcript.pyannote[1637].start 9720.73971875
transcript.pyannote[1637].end 9720.77346875
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 9720.77346875
transcript.pyannote[1638].end 9722.24159375
transcript.pyannote[1639].speaker SPEAKER_06
transcript.pyannote[1639].start 9722.95034375
transcript.pyannote[1639].end 9728.83971875
transcript.pyannote[1640].speaker SPEAKER_06
transcript.pyannote[1640].start 9729.39659375
transcript.pyannote[1640].end 9730.69596875
transcript.pyannote[1641].speaker SPEAKER_06
transcript.pyannote[1641].start 9731.53971875
transcript.pyannote[1641].end 9737.73284375
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 9737.95221875
transcript.pyannote[1642].end 9741.37784375
transcript.pyannote[1643].speaker SPEAKER_06
transcript.pyannote[1643].start 9741.52971875
transcript.pyannote[1643].end 9750.96284375
transcript.pyannote[1644].speaker SPEAKER_06
transcript.pyannote[1644].start 9751.11471875
transcript.pyannote[1644].end 9757.02096875
transcript.pyannote[1645].speaker SPEAKER_06
transcript.pyannote[1645].start 9757.51034375
transcript.pyannote[1645].end 9758.74221875
transcript.pyannote[1646].speaker SPEAKER_06
transcript.pyannote[1646].start 9758.92784375
transcript.pyannote[1646].end 9759.77159375
transcript.pyannote[1647].speaker SPEAKER_06
transcript.pyannote[1647].start 9760.46346875
transcript.pyannote[1647].end 9768.04034375
transcript.pyannote[1648].speaker SPEAKER_06
transcript.pyannote[1648].start 9768.76596875
transcript.pyannote[1648].end 9770.08221875
transcript.pyannote[1649].speaker SPEAKER_06
transcript.pyannote[1649].start 9770.52096875
transcript.pyannote[1649].end 9772.73159375
transcript.pyannote[1650].speaker SPEAKER_06
transcript.pyannote[1650].start 9773.76096875
transcript.pyannote[1650].end 9802.11096875
transcript.pyannote[1651].speaker SPEAKER_06
transcript.pyannote[1651].start 9803.05596875
transcript.pyannote[1651].end 9805.40159375
transcript.pyannote[1652].speaker SPEAKER_06
transcript.pyannote[1652].start 9806.12721875
transcript.pyannote[1652].end 9807.29159375
transcript.pyannote[1653].speaker SPEAKER_06
transcript.pyannote[1653].start 9808.06784375
transcript.pyannote[1653].end 9812.16846875
transcript.pyannote[1654].speaker SPEAKER_00
transcript.pyannote[1654].start 9829.61721875
transcript.pyannote[1654].end 9831.49034375
transcript.pyannote[1655].speaker SPEAKER_00
transcript.pyannote[1655].start 9832.38471875
transcript.pyannote[1655].end 9835.21971875
transcript.pyannote[1656].speaker SPEAKER_00
transcript.pyannote[1656].start 9836.11409375
transcript.pyannote[1656].end 9837.00846875
transcript.pyannote[1657].speaker SPEAKER_00
transcript.pyannote[1657].start 9837.39659375
transcript.pyannote[1657].end 9838.29096875
transcript.pyannote[1658].speaker SPEAKER_00
transcript.pyannote[1658].start 9838.99971875
transcript.pyannote[1658].end 9841.42971875
transcript.pyannote[1659].speaker SPEAKER_06
transcript.pyannote[1659].start 9842.13846875
transcript.pyannote[1659].end 9843.84284375
transcript.pyannote[1660].speaker SPEAKER_07
transcript.pyannote[1660].start 9845.73284375
transcript.pyannote[1660].end 9846.44159375
transcript.pyannote[1661].speaker SPEAKER_00
transcript.pyannote[1661].start 9847.31909375
transcript.pyannote[1661].end 9848.34846875
transcript.pyannote[1662].speaker SPEAKER_00
transcript.pyannote[1662].start 9849.14159375
transcript.pyannote[1662].end 9897.11721875
transcript.pyannote[1663].speaker SPEAKER_07
transcript.pyannote[1663].start 9897.60659375
transcript.pyannote[1663].end 9901.70721875
transcript.pyannote[1664].speaker SPEAKER_07
transcript.pyannote[1664].start 9901.97721875
transcript.pyannote[1664].end 9935.35596875
transcript.pyannote[1665].speaker SPEAKER_00
transcript.pyannote[1665].start 9917.26596875
transcript.pyannote[1665].end 9917.73846875
transcript.pyannote[1666].speaker SPEAKER_00
transcript.pyannote[1666].start 9934.17471875
transcript.pyannote[1666].end 9934.93409375
transcript.pyannote[1667].speaker SPEAKER_00
transcript.pyannote[1667].start 9935.15346875
transcript.pyannote[1667].end 9940.03034375
transcript.pyannote[1668].speaker SPEAKER_20
transcript.pyannote[1668].start 9941.32971875
transcript.pyannote[1668].end 9941.61659375
transcript.pyannote[1669].speaker SPEAKER_00
transcript.pyannote[1669].start 9941.61659375
transcript.pyannote[1669].end 9941.65034375
transcript.pyannote[1670].speaker SPEAKER_20
transcript.pyannote[1670].start 9941.65034375
transcript.pyannote[1670].end 9941.68409375
transcript.pyannote[1671].speaker SPEAKER_00
transcript.pyannote[1671].start 9941.68409375
transcript.pyannote[1671].end 9944.97471875
transcript.pyannote[1672].speaker SPEAKER_20
transcript.pyannote[1672].start 9941.70096875
transcript.pyannote[1672].end 9942.39284375
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 9944.97471875
transcript.pyannote[1673].end 9945.02534375
transcript.pyannote[1674].speaker SPEAKER_00
transcript.pyannote[1674].start 9945.02534375
transcript.pyannote[1674].end 9945.63284375
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 9945.63284375
transcript.pyannote[1675].end 9945.66659375
transcript.pyannote[1676].speaker SPEAKER_00
transcript.pyannote[1676].start 9945.66659375
transcript.pyannote[1676].end 9949.12596875
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 9945.68346875
transcript.pyannote[1677].end 9946.10534375
transcript.pyannote[1678].speaker SPEAKER_00
transcript.pyannote[1678].start 9949.48034375
transcript.pyannote[1678].end 9969.19034375
transcript.pyannote[1679].speaker SPEAKER_00
transcript.pyannote[1679].start 9969.59534375
transcript.pyannote[1679].end 9980.66534375
transcript.pyannote[1680].speaker SPEAKER_00
transcript.pyannote[1680].start 9980.80034375
transcript.pyannote[1680].end 9991.00971875
transcript.pyannote[1681].speaker SPEAKER_00
transcript.pyannote[1681].start 9991.44846875
transcript.pyannote[1681].end 10000.89846875
transcript.pyannote[1682].speaker SPEAKER_00
transcript.pyannote[1682].start 10001.03346875
transcript.pyannote[1682].end 10011.29346875
transcript.pyannote[1683].speaker SPEAKER_00
transcript.pyannote[1683].start 10011.73221875
transcript.pyannote[1683].end 10013.18346875
transcript.pyannote[1684].speaker SPEAKER_11
transcript.pyannote[1684].start 10013.60534375
transcript.pyannote[1684].end 10038.00659375
transcript.pyannote[1685].speaker SPEAKER_00
transcript.pyannote[1685].start 10038.34409375
transcript.pyannote[1685].end 10038.98534375
transcript.pyannote[1686].speaker SPEAKER_00
transcript.pyannote[1686].start 10039.71096875
transcript.pyannote[1686].end 10115.91846875
transcript.pyannote[1687].speaker SPEAKER_00
transcript.pyannote[1687].start 10116.40784375
transcript.pyannote[1687].end 10120.87971875
transcript.pyannote[1688].speaker SPEAKER_00
transcript.pyannote[1688].start 10121.25096875
transcript.pyannote[1688].end 10134.36284375
transcript.pyannote[1689].speaker SPEAKER_00
transcript.pyannote[1689].start 10134.81846875
transcript.pyannote[1689].end 10136.33721875
transcript.pyannote[1690].speaker SPEAKER_00
transcript.pyannote[1690].start 10137.51846875
transcript.pyannote[1690].end 10139.32409375
transcript.pyannote[1691].speaker SPEAKER_07
transcript.pyannote[1691].start 10141.66971875
transcript.pyannote[1691].end 10148.20034375
transcript.pyannote[1692].speaker SPEAKER_00
transcript.pyannote[1692].start 10147.03596875
transcript.pyannote[1692].end 10148.16659375
transcript.pyannote[1693].speaker SPEAKER_00
transcript.pyannote[1693].start 10148.20034375
transcript.pyannote[1693].end 10148.21721875
transcript.pyannote[1694].speaker SPEAKER_07
transcript.pyannote[1694].start 10148.21721875
transcript.pyannote[1694].end 10148.23409375
transcript.pyannote[1695].speaker SPEAKER_00
transcript.pyannote[1695].start 10148.23409375
transcript.pyannote[1695].end 10148.82471875
transcript.pyannote[1696].speaker SPEAKER_07
transcript.pyannote[1696].start 10148.82471875
transcript.pyannote[1696].end 10150.88346875
transcript.pyannote[1697].speaker SPEAKER_00
transcript.pyannote[1697].start 10149.04409375
transcript.pyannote[1697].end 10149.56721875
transcript.pyannote[1698].speaker SPEAKER_00
transcript.pyannote[1698].start 10150.14096875
transcript.pyannote[1698].end 10162.59471875
transcript.pyannote[1699].speaker SPEAKER_00
transcript.pyannote[1699].start 10162.93221875
transcript.pyannote[1699].end 10166.76284375
transcript.pyannote[1700].speaker SPEAKER_00
transcript.pyannote[1700].start 10167.03284375
transcript.pyannote[1700].end 10171.03221875
transcript.pyannote[1701].speaker SPEAKER_00
transcript.pyannote[1701].start 10171.58909375
transcript.pyannote[1701].end 10201.71096875
transcript.pyannote[1702].speaker SPEAKER_00
transcript.pyannote[1702].start 10201.96409375
transcript.pyannote[1702].end 10250.85096875
transcript.pyannote[1703].speaker SPEAKER_06
transcript.pyannote[1703].start 10253.01096875
transcript.pyannote[1703].end 10254.52971875
transcript.pyannote[1704].speaker SPEAKER_06
transcript.pyannote[1704].start 10255.50846875
transcript.pyannote[1704].end 10258.14096875
transcript.pyannote[1705].speaker SPEAKER_06
transcript.pyannote[1705].start 10258.96784375
transcript.pyannote[1705].end 10260.13221875
transcript.pyannote[1706].speaker SPEAKER_06
transcript.pyannote[1706].start 10261.19534375
transcript.pyannote[1706].end 10262.39346875
transcript.pyannote[1707].speaker SPEAKER_06
transcript.pyannote[1707].start 10263.54096875
transcript.pyannote[1707].end 10268.24909375
transcript.pyannote[1708].speaker SPEAKER_21
transcript.pyannote[1708].start 10283.40284375
transcript.pyannote[1708].end 10287.75659375
transcript.pyannote[1709].speaker SPEAKER_06
transcript.pyannote[1709].start 10288.19534375
transcript.pyannote[1709].end 10289.71409375
transcript.pyannote[1710].speaker SPEAKER_16
transcript.pyannote[1710].start 10297.47659375
transcript.pyannote[1710].end 10297.52721875
transcript.pyannote[1711].speaker SPEAKER_21
transcript.pyannote[1711].start 10297.52721875
transcript.pyannote[1711].end 10305.40784375
transcript.pyannote[1712].speaker SPEAKER_16
transcript.pyannote[1712].start 10297.57784375
transcript.pyannote[1712].end 10298.26971875
transcript.pyannote[1713].speaker SPEAKER_21
transcript.pyannote[1713].start 10306.04909375
transcript.pyannote[1713].end 10307.17971875
transcript.pyannote[1714].speaker SPEAKER_21
transcript.pyannote[1714].start 10307.53409375
transcript.pyannote[1714].end 10311.06096875
transcript.pyannote[1715].speaker SPEAKER_21
transcript.pyannote[1715].start 10311.87096875
transcript.pyannote[1715].end 10313.18721875
transcript.pyannote[1716].speaker SPEAKER_21
transcript.pyannote[1716].start 10313.32221875
transcript.pyannote[1716].end 10314.92534375
transcript.pyannote[1717].speaker SPEAKER_21
transcript.pyannote[1717].start 10315.73534375
transcript.pyannote[1717].end 10317.03471875
transcript.pyannote[1718].speaker SPEAKER_21
transcript.pyannote[1718].start 10317.38909375
transcript.pyannote[1718].end 10322.36721875
transcript.pyannote[1719].speaker SPEAKER_21
transcript.pyannote[1719].start 10323.00846875
transcript.pyannote[1719].end 10325.32034375
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 10325.57346875
transcript.pyannote[1720].end 10325.72534375
transcript.pyannote[1721].speaker SPEAKER_21
transcript.pyannote[1721].start 10326.28221875
transcript.pyannote[1721].end 10329.89346875
transcript.pyannote[1722].speaker SPEAKER_21
transcript.pyannote[1722].start 10330.53471875
transcript.pyannote[1722].end 10331.14221875
transcript.pyannote[1723].speaker SPEAKER_21
transcript.pyannote[1723].start 10331.53034375
transcript.pyannote[1723].end 10334.36534375
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 10335.56346875
transcript.pyannote[1724].end 10337.92596875
transcript.pyannote[1725].speaker SPEAKER_21
transcript.pyannote[1725].start 10338.95534375
transcript.pyannote[1725].end 10343.91659375
transcript.pyannote[1726].speaker SPEAKER_21
transcript.pyannote[1726].start 10344.81096875
transcript.pyannote[1726].end 10346.16096875
transcript.pyannote[1727].speaker SPEAKER_21
transcript.pyannote[1727].start 10346.54909375
transcript.pyannote[1727].end 10349.08034375
transcript.pyannote[1728].speaker SPEAKER_21
transcript.pyannote[1728].start 10349.41784375
transcript.pyannote[1728].end 10351.54409375
transcript.pyannote[1729].speaker SPEAKER_21
transcript.pyannote[1729].start 10351.71284375
transcript.pyannote[1729].end 10353.68721875
transcript.pyannote[1730].speaker SPEAKER_21
transcript.pyannote[1730].start 10354.05846875
transcript.pyannote[1730].end 10359.84659375
transcript.pyannote[1731].speaker SPEAKER_21
transcript.pyannote[1731].start 10360.36971875
transcript.pyannote[1731].end 10364.55471875
transcript.pyannote[1732].speaker SPEAKER_21
transcript.pyannote[1732].start 10365.22971875
transcript.pyannote[1732].end 10368.77346875
transcript.pyannote[1733].speaker SPEAKER_21
transcript.pyannote[1733].start 10369.24596875
transcript.pyannote[1733].end 10370.10659375
transcript.pyannote[1734].speaker SPEAKER_21
transcript.pyannote[1734].start 10370.83221875
transcript.pyannote[1734].end 10372.19909375
transcript.pyannote[1735].speaker SPEAKER_21
transcript.pyannote[1735].start 10372.30034375
transcript.pyannote[1735].end 10373.09346875
transcript.pyannote[1736].speaker SPEAKER_21
transcript.pyannote[1736].start 10373.58284375
transcript.pyannote[1736].end 10375.30409375
transcript.pyannote[1737].speaker SPEAKER_21
transcript.pyannote[1737].start 10375.75971875
transcript.pyannote[1737].end 10376.80596875
transcript.pyannote[1738].speaker SPEAKER_21
transcript.pyannote[1738].start 10377.17721875
transcript.pyannote[1738].end 10378.64534375
transcript.pyannote[1739].speaker SPEAKER_21
transcript.pyannote[1739].start 10379.33721875
transcript.pyannote[1739].end 10380.61971875
transcript.pyannote[1740].speaker SPEAKER_21
transcript.pyannote[1740].start 10381.24409375
transcript.pyannote[1740].end 10382.15534375
transcript.pyannote[1741].speaker SPEAKER_21
transcript.pyannote[1741].start 10382.76284375
transcript.pyannote[1741].end 10390.54221875
transcript.pyannote[1742].speaker SPEAKER_21
transcript.pyannote[1742].start 10390.94721875
transcript.pyannote[1742].end 10391.68971875
transcript.pyannote[1743].speaker SPEAKER_21
transcript.pyannote[1743].start 10392.14534375
transcript.pyannote[1743].end 10394.18721875
transcript.pyannote[1744].speaker SPEAKER_21
transcript.pyannote[1744].start 10394.82846875
transcript.pyannote[1744].end 10396.17846875
transcript.pyannote[1745].speaker SPEAKER_21
transcript.pyannote[1745].start 10396.98846875
transcript.pyannote[1745].end 10399.65471875
transcript.pyannote[1746].speaker SPEAKER_21
transcript.pyannote[1746].start 10400.61659375
transcript.pyannote[1746].end 10403.24909375
transcript.pyannote[1747].speaker SPEAKER_21
transcript.pyannote[1747].start 10404.26159375
transcript.pyannote[1747].end 10411.93971875
transcript.pyannote[1748].speaker SPEAKER_21
transcript.pyannote[1748].start 10412.63159375
transcript.pyannote[1748].end 10415.07846875
transcript.pyannote[1749].speaker SPEAKER_02
transcript.pyannote[1749].start 10415.07846875
transcript.pyannote[1749].end 10415.09534375
transcript.pyannote[1750].speaker SPEAKER_02
transcript.pyannote[1750].start 10416.41159375
transcript.pyannote[1750].end 10416.42846875
transcript.pyannote[1751].speaker SPEAKER_21
transcript.pyannote[1751].start 10416.42846875
transcript.pyannote[1751].end 10416.96846875
transcript.pyannote[1752].speaker SPEAKER_02
transcript.pyannote[1752].start 10416.96846875
transcript.pyannote[1752].end 10439.64846875
transcript.pyannote[1753].speaker SPEAKER_21
transcript.pyannote[1753].start 10426.04721875
transcript.pyannote[1753].end 10426.46909375
transcript.pyannote[1754].speaker SPEAKER_21
transcript.pyannote[1754].start 10434.43409375
transcript.pyannote[1754].end 10435.17659375
transcript.pyannote[1755].speaker SPEAKER_21
transcript.pyannote[1755].start 10437.92721875
transcript.pyannote[1755].end 10438.19721875
transcript.pyannote[1756].speaker SPEAKER_21
transcript.pyannote[1756].start 10439.64846875
transcript.pyannote[1756].end 10445.97659375
transcript.pyannote[1757].speaker SPEAKER_02
transcript.pyannote[1757].start 10445.97659375
transcript.pyannote[1757].end 10446.80346875
transcript.pyannote[1758].speaker SPEAKER_02
transcript.pyannote[1758].start 10448.30534375
transcript.pyannote[1758].end 10461.07971875
transcript.pyannote[1759].speaker SPEAKER_02
transcript.pyannote[1759].start 10461.55221875
transcript.pyannote[1759].end 10461.94034375
transcript.pyannote[1760].speaker SPEAKER_21
transcript.pyannote[1760].start 10461.94034375
transcript.pyannote[1760].end 10462.02471875
transcript.pyannote[1761].speaker SPEAKER_21
transcript.pyannote[1761].start 10463.52659375
transcript.pyannote[1761].end 10465.50096875
transcript.pyannote[1762].speaker SPEAKER_21
transcript.pyannote[1762].start 10466.47971875
transcript.pyannote[1762].end 10474.71471875
transcript.pyannote[1763].speaker SPEAKER_21
transcript.pyannote[1763].start 10475.13659375
transcript.pyannote[1763].end 10480.48596875
transcript.pyannote[1764].speaker SPEAKER_21
transcript.pyannote[1764].start 10480.82346875
transcript.pyannote[1764].end 10485.83534375
transcript.pyannote[1765].speaker SPEAKER_21
transcript.pyannote[1765].start 10486.27409375
transcript.pyannote[1765].end 10487.72534375
transcript.pyannote[1766].speaker SPEAKER_21
transcript.pyannote[1766].start 10488.82221875
transcript.pyannote[1766].end 10489.49721875
transcript.pyannote[1767].speaker SPEAKER_21
transcript.pyannote[1767].start 10490.86409375
transcript.pyannote[1767].end 10495.90971875
transcript.pyannote[1768].speaker SPEAKER_21
transcript.pyannote[1768].start 10497.27659375
transcript.pyannote[1768].end 10500.22971875
transcript.pyannote[1769].speaker SPEAKER_21
transcript.pyannote[1769].start 10501.54596875
transcript.pyannote[1769].end 10504.46534375
transcript.pyannote[1770].speaker SPEAKER_21
transcript.pyannote[1770].start 10505.17409375
transcript.pyannote[1770].end 10505.84909375
transcript.pyannote[1771].speaker SPEAKER_21
transcript.pyannote[1771].start 10506.42284375
transcript.pyannote[1771].end 10507.63784375
transcript.pyannote[1772].speaker SPEAKER_21
transcript.pyannote[1772].start 10508.17784375
transcript.pyannote[1772].end 10513.13909375
transcript.pyannote[1773].speaker SPEAKER_21
transcript.pyannote[1773].start 10513.83096875
transcript.pyannote[1773].end 10516.00784375
transcript.pyannote[1774].speaker SPEAKER_21
transcript.pyannote[1774].start 10516.39596875
transcript.pyannote[1774].end 10518.38721875
transcript.pyannote[1775].speaker SPEAKER_21
transcript.pyannote[1775].start 10519.26471875
transcript.pyannote[1775].end 10520.31096875
transcript.pyannote[1776].speaker SPEAKER_21
transcript.pyannote[1776].start 10521.28971875
transcript.pyannote[1776].end 10524.32721875
transcript.pyannote[1777].speaker SPEAKER_21
transcript.pyannote[1777].start 10524.73221875
transcript.pyannote[1777].end 10526.79096875
transcript.pyannote[1778].speaker SPEAKER_21
transcript.pyannote[1778].start 10527.65159375
transcript.pyannote[1778].end 10530.50346875
transcript.pyannote[1779].speaker SPEAKER_21
transcript.pyannote[1779].start 10530.84096875
transcript.pyannote[1779].end 10531.87034375
transcript.pyannote[1780].speaker SPEAKER_21
transcript.pyannote[1780].start 10533.00096875
transcript.pyannote[1780].end 10536.13971875
transcript.pyannote[1781].speaker SPEAKER_21
transcript.pyannote[1781].start 10536.67971875
transcript.pyannote[1781].end 10539.56534375
transcript.pyannote[1782].speaker SPEAKER_21
transcript.pyannote[1782].start 10540.12221875
transcript.pyannote[1782].end 10542.06284375
transcript.pyannote[1783].speaker SPEAKER_21
transcript.pyannote[1783].start 10542.61971875
transcript.pyannote[1783].end 10544.50971875
transcript.pyannote[1784].speaker SPEAKER_21
transcript.pyannote[1784].start 10545.30284375
transcript.pyannote[1784].end 10546.12971875
transcript.pyannote[1785].speaker SPEAKER_21
transcript.pyannote[1785].start 10546.85534375
transcript.pyannote[1785].end 10547.66534375
transcript.pyannote[1786].speaker SPEAKER_21
transcript.pyannote[1786].start 10547.74971875
transcript.pyannote[1786].end 10551.42846875
transcript.pyannote[1787].speaker SPEAKER_21
transcript.pyannote[1787].start 10551.49596875
transcript.pyannote[1787].end 10553.16659375
transcript.pyannote[1788].speaker SPEAKER_21
transcript.pyannote[1788].start 10554.63471875
transcript.pyannote[1788].end 10556.27159375
transcript.pyannote[1789].speaker SPEAKER_21
transcript.pyannote[1789].start 10556.30534375
transcript.pyannote[1789].end 10557.19971875
transcript.pyannote[1790].speaker SPEAKER_21
transcript.pyannote[1790].start 10557.84096875
transcript.pyannote[1790].end 10560.23721875
transcript.pyannote[1791].speaker SPEAKER_21
transcript.pyannote[1791].start 10560.99659375
transcript.pyannote[1791].end 10561.01346875
transcript.pyannote[1792].speaker SPEAKER_02
transcript.pyannote[1792].start 10561.01346875
transcript.pyannote[1792].end 10561.51971875
transcript.pyannote[1793].speaker SPEAKER_02
transcript.pyannote[1793].start 10561.65471875
transcript.pyannote[1793].end 10582.36034375
transcript.pyannote[1794].speaker SPEAKER_21
transcript.pyannote[1794].start 10583.08596875
transcript.pyannote[1794].end 10583.72721875
transcript.pyannote[1795].speaker SPEAKER_21
transcript.pyannote[1795].start 10584.08159375
transcript.pyannote[1795].end 10588.28346875
transcript.pyannote[1796].speaker SPEAKER_21
transcript.pyannote[1796].start 10588.55346875
transcript.pyannote[1796].end 10590.10596875
transcript.pyannote[1797].speaker SPEAKER_21
transcript.pyannote[1797].start 10590.47721875
transcript.pyannote[1797].end 10592.73846875
transcript.pyannote[1798].speaker SPEAKER_21
transcript.pyannote[1798].start 10593.61596875
transcript.pyannote[1798].end 10593.88596875
transcript.pyannote[1799].speaker SPEAKER_21
transcript.pyannote[1799].start 10594.51034375
transcript.pyannote[1799].end 10598.64471875
transcript.pyannote[1800].speaker SPEAKER_21
transcript.pyannote[1800].start 10598.96534375
transcript.pyannote[1800].end 10600.09596875
transcript.pyannote[1801].speaker SPEAKER_21
transcript.pyannote[1801].start 10600.31534375
transcript.pyannote[1801].end 10604.50034375
transcript.pyannote[1802].speaker SPEAKER_21
transcript.pyannote[1802].start 10605.41159375
transcript.pyannote[1802].end 10611.95909375
transcript.pyannote[1803].speaker SPEAKER_06
transcript.pyannote[1803].start 10616.58284375
transcript.pyannote[1803].end 10623.38346875
transcript.pyannote[1804].speaker SPEAKER_17
transcript.pyannote[1804].start 10634.60534375
transcript.pyannote[1804].end 10638.45284375
transcript.pyannote[1805].speaker SPEAKER_17
transcript.pyannote[1805].start 10639.76909375
transcript.pyannote[1805].end 10643.88659375
transcript.pyannote[1806].speaker SPEAKER_17
transcript.pyannote[1806].start 10644.64596875
transcript.pyannote[1806].end 10645.70909375
transcript.pyannote[1807].speaker SPEAKER_17
transcript.pyannote[1807].start 10646.09721875
transcript.pyannote[1807].end 10648.62846875
transcript.pyannote[1808].speaker SPEAKER_17
transcript.pyannote[1808].start 10649.38784375
transcript.pyannote[1808].end 10654.02846875
transcript.pyannote[1809].speaker SPEAKER_06
transcript.pyannote[1809].start 10649.40471875
transcript.pyannote[1809].end 10650.61971875
transcript.pyannote[1810].speaker SPEAKER_06
transcript.pyannote[1810].start 10653.79221875
transcript.pyannote[1810].end 10655.88471875
transcript.pyannote[1811].speaker SPEAKER_17
transcript.pyannote[1811].start 10656.93096875
transcript.pyannote[1811].end 10786.26096875
transcript.pyannote[1812].speaker SPEAKER_17
transcript.pyannote[1812].start 10786.76721875
transcript.pyannote[1812].end 10858.94159375
transcript.pyannote[1813].speaker SPEAKER_10
transcript.pyannote[1813].start 10858.94159375
transcript.pyannote[1813].end 10862.28284375
transcript.pyannote[1814].speaker SPEAKER_10
transcript.pyannote[1814].start 10862.77221875
transcript.pyannote[1814].end 10865.65784375
transcript.pyannote[1815].speaker SPEAKER_10
transcript.pyannote[1815].start 10865.82659375
transcript.pyannote[1815].end 10867.44659375
transcript.pyannote[1816].speaker SPEAKER_10
transcript.pyannote[1816].start 10868.07096875
transcript.pyannote[1816].end 10896.04971875
transcript.pyannote[1817].speaker SPEAKER_10
transcript.pyannote[1817].start 10896.57284375
transcript.pyannote[1817].end 10902.05721875
transcript.pyannote[1818].speaker SPEAKER_10
transcript.pyannote[1818].start 10902.59721875
transcript.pyannote[1818].end 10914.20721875
transcript.pyannote[1819].speaker SPEAKER_17
transcript.pyannote[1819].start 10913.59971875
transcript.pyannote[1819].end 10917.80159375
transcript.pyannote[1820].speaker SPEAKER_10
transcript.pyannote[1820].start 10917.80159375
transcript.pyannote[1820].end 10924.82159375
transcript.pyannote[1821].speaker SPEAKER_10
transcript.pyannote[1821].start 10925.12534375
transcript.pyannote[1821].end 10925.49659375
transcript.pyannote[1822].speaker SPEAKER_17
transcript.pyannote[1822].start 10925.29409375
transcript.pyannote[1822].end 10971.83534375
transcript.pyannote[1823].speaker SPEAKER_10
transcript.pyannote[1823].start 10927.97721875
transcript.pyannote[1823].end 10928.29784375
transcript.pyannote[1824].speaker SPEAKER_10
transcript.pyannote[1824].start 10929.64784375
transcript.pyannote[1824].end 10930.50846875
transcript.pyannote[1825].speaker SPEAKER_00
transcript.pyannote[1825].start 10959.60096875
transcript.pyannote[1825].end 10959.61784375
transcript.pyannote[1826].speaker SPEAKER_16
transcript.pyannote[1826].start 10959.61784375
transcript.pyannote[1826].end 10959.63471875
transcript.pyannote[1827].speaker SPEAKER_00
transcript.pyannote[1827].start 10959.63471875
transcript.pyannote[1827].end 10959.71909375
transcript.pyannote[1828].speaker SPEAKER_16
transcript.pyannote[1828].start 10959.71909375
transcript.pyannote[1828].end 10959.73596875
transcript.pyannote[1829].speaker SPEAKER_00
transcript.pyannote[1829].start 10959.73596875
transcript.pyannote[1829].end 10959.80346875
transcript.pyannote[1830].speaker SPEAKER_10
transcript.pyannote[1830].start 10967.53221875
transcript.pyannote[1830].end 10967.86971875
transcript.pyannote[1831].speaker SPEAKER_10
transcript.pyannote[1831].start 10971.14346875
transcript.pyannote[1831].end 10994.51534375
transcript.pyannote[1832].speaker SPEAKER_10
transcript.pyannote[1832].start 10994.75159375
transcript.pyannote[1832].end 10999.30784375
transcript.pyannote[1833].speaker SPEAKER_10
transcript.pyannote[1833].start 10999.71284375
transcript.pyannote[1833].end 11014.15784375
transcript.pyannote[1834].speaker SPEAKER_10
transcript.pyannote[1834].start 11014.56284375
transcript.pyannote[1834].end 11034.03659375
transcript.pyannote[1835].speaker SPEAKER_17
transcript.pyannote[1835].start 11034.03659375
transcript.pyannote[1835].end 11043.06471875
transcript.pyannote[1836].speaker SPEAKER_10
transcript.pyannote[1836].start 11041.93409375
transcript.pyannote[1836].end 11060.36159375
transcript.pyannote[1837].speaker SPEAKER_17
transcript.pyannote[1837].start 11043.21659375
transcript.pyannote[1837].end 11043.87471875
transcript.pyannote[1838].speaker SPEAKER_17
transcript.pyannote[1838].start 11060.02409375
transcript.pyannote[1838].end 11061.82971875
transcript.pyannote[1839].speaker SPEAKER_10
transcript.pyannote[1839].start 11061.82971875
transcript.pyannote[1839].end 11063.16284375
transcript.pyannote[1840].speaker SPEAKER_17
transcript.pyannote[1840].start 11062.53846875
transcript.pyannote[1840].end 11201.53784375
transcript.pyannote[1841].speaker SPEAKER_10
transcript.pyannote[1841].start 11064.59721875
transcript.pyannote[1841].end 11066.06534375
transcript.pyannote[1842].speaker SPEAKER_16
transcript.pyannote[1842].start 11201.53784375
transcript.pyannote[1842].end 11201.77409375
transcript.pyannote[1843].speaker SPEAKER_17
transcript.pyannote[1843].start 11201.77409375
transcript.pyannote[1843].end 11207.42721875
transcript.pyannote[1844].speaker SPEAKER_07
transcript.pyannote[1844].start 11211.13971875
transcript.pyannote[1844].end 11211.96659375
transcript.pyannote[1845].speaker SPEAKER_17
transcript.pyannote[1845].start 11211.64596875
transcript.pyannote[1845].end 11233.19534375
transcript.pyannote[1846].speaker SPEAKER_17
transcript.pyannote[1846].start 11233.54971875
transcript.pyannote[1846].end 11243.80971875
transcript.pyannote[1847].speaker SPEAKER_17
transcript.pyannote[1847].start 11244.06284375
transcript.pyannote[1847].end 11259.09846875
transcript.pyannote[1848].speaker SPEAKER_17
transcript.pyannote[1848].start 11259.63846875
transcript.pyannote[1848].end 11264.78534375
transcript.pyannote[1849].speaker SPEAKER_07
transcript.pyannote[1849].start 11265.51096875
transcript.pyannote[1849].end 11268.16034375
transcript.pyannote[1850].speaker SPEAKER_07
transcript.pyannote[1850].start 11268.86909375
transcript.pyannote[1850].end 11280.46221875
transcript.pyannote[1851].speaker SPEAKER_17
transcript.pyannote[1851].start 11279.78721875
transcript.pyannote[1851].end 11300.37471875
transcript.pyannote[1852].speaker SPEAKER_00
transcript.pyannote[1852].start 11290.75596875
transcript.pyannote[1852].end 11291.02596875
transcript.pyannote[1853].speaker SPEAKER_07
transcript.pyannote[1853].start 11291.02596875
transcript.pyannote[1853].end 11291.90346875
transcript.pyannote[1854].speaker SPEAKER_07
transcript.pyannote[1854].start 11299.19346875
transcript.pyannote[1854].end 11317.77284375
transcript.pyannote[1855].speaker SPEAKER_07
transcript.pyannote[1855].start 11318.04284375
transcript.pyannote[1855].end 11326.81784375
transcript.pyannote[1856].speaker SPEAKER_17
transcript.pyannote[1856].start 11327.29034375
transcript.pyannote[1856].end 11421.63846875
transcript.pyannote[1857].speaker SPEAKER_17
transcript.pyannote[1857].start 11421.94221875
transcript.pyannote[1857].end 11447.47409375
transcript.pyannote[1858].speaker SPEAKER_07
transcript.pyannote[1858].start 11447.96346875
transcript.pyannote[1858].end 11493.39096875
transcript.pyannote[1859].speaker SPEAKER_17
transcript.pyannote[1859].start 11487.72096875
transcript.pyannote[1859].end 11488.15971875
transcript.pyannote[1860].speaker SPEAKER_17
transcript.pyannote[1860].start 11493.54284375
transcript.pyannote[1860].end 11524.89659375
transcript.pyannote[1861].speaker SPEAKER_23
transcript.pyannote[1861].start 11524.89659375
transcript.pyannote[1861].end 11530.22909375
transcript.pyannote[1862].speaker SPEAKER_17
transcript.pyannote[1862].start 11525.08221875
transcript.pyannote[1862].end 11525.58846875
transcript.pyannote[1863].speaker SPEAKER_17
transcript.pyannote[1863].start 11529.45284375
transcript.pyannote[1863].end 11550.85034375
transcript.pyannote[1864].speaker SPEAKER_07
transcript.pyannote[1864].start 11547.76221875
transcript.pyannote[1864].end 11548.08284375
transcript.pyannote[1865].speaker SPEAKER_07
transcript.pyannote[1865].start 11548.23471875
transcript.pyannote[1865].end 11566.86471875
transcript.pyannote[1866].speaker SPEAKER_17
transcript.pyannote[1866].start 11551.28909375
transcript.pyannote[1866].end 11554.51221875
transcript.pyannote[1867].speaker SPEAKER_17
transcript.pyannote[1867].start 11558.34284375
transcript.pyannote[1867].end 11558.39346875
transcript.pyannote[1868].speaker SPEAKER_01
transcript.pyannote[1868].start 11558.39346875
transcript.pyannote[1868].end 11558.91659375
transcript.pyannote[1869].speaker SPEAKER_17
transcript.pyannote[1869].start 11558.91659375
transcript.pyannote[1869].end 11558.95034375
transcript.pyannote[1870].speaker SPEAKER_01
transcript.pyannote[1870].start 11558.95034375
transcript.pyannote[1870].end 11558.96721875
transcript.pyannote[1871].speaker SPEAKER_01
transcript.pyannote[1871].start 11559.65909375
transcript.pyannote[1871].end 11559.91221875
transcript.pyannote[1872].speaker SPEAKER_17
transcript.pyannote[1872].start 11559.91221875
transcript.pyannote[1872].end 11559.92909375
transcript.pyannote[1873].speaker SPEAKER_17
transcript.pyannote[1873].start 11566.98284375
transcript.pyannote[1873].end 11570.76284375
transcript.pyannote[1874].speaker SPEAKER_07
transcript.pyannote[1874].start 11569.09221875
transcript.pyannote[1874].end 11575.30221875
transcript.pyannote[1875].speaker SPEAKER_17
transcript.pyannote[1875].start 11571.87659375
transcript.pyannote[1875].end 11573.37846875
transcript.pyannote[1876].speaker SPEAKER_17
transcript.pyannote[1876].start 11573.71596875
transcript.pyannote[1876].end 11574.32346875
transcript.pyannote[1877].speaker SPEAKER_17
transcript.pyannote[1877].start 11575.40346875
transcript.pyannote[1877].end 11588.61659375
transcript.pyannote[1878].speaker SPEAKER_17
transcript.pyannote[1878].start 11589.54471875
transcript.pyannote[1878].end 11590.03409375
transcript.pyannote[1879].speaker SPEAKER_06
transcript.pyannote[1879].start 11591.33346875
transcript.pyannote[1879].end 11597.37471875
transcript.pyannote[1880].speaker SPEAKER_06
transcript.pyannote[1880].start 11597.67846875
transcript.pyannote[1880].end 11604.00659375
transcript.pyannote[1881].speaker SPEAKER_06
transcript.pyannote[1881].start 11604.24284375
transcript.pyannote[1881].end 11616.76409375
transcript.pyannote[1882].speaker SPEAKER_06
transcript.pyannote[1882].start 11616.89909375
transcript.pyannote[1882].end 11632.71096875
transcript.pyannote[1883].speaker SPEAKER_06
transcript.pyannote[1883].start 11633.08221875
transcript.pyannote[1883].end 11638.41471875
transcript.pyannote[1884].speaker SPEAKER_06
transcript.pyannote[1884].start 11638.80284375
transcript.pyannote[1884].end 11646.90284375
transcript.pyannote[1885].speaker SPEAKER_06
transcript.pyannote[1885].start 11647.17284375
transcript.pyannote[1885].end 11665.02659375
transcript.pyannote[1886].speaker SPEAKER_06
transcript.pyannote[1886].start 11665.26284375
transcript.pyannote[1886].end 11677.71659375
transcript.pyannote[1887].speaker SPEAKER_06
transcript.pyannote[1887].start 11677.86846875
transcript.pyannote[1887].end 11692.51596875
transcript.pyannote[1888].speaker SPEAKER_06
transcript.pyannote[1888].start 11695.75596875
transcript.pyannote[1888].end 11701.42596875
transcript.pyannote[1889].speaker SPEAKER_06
transcript.pyannote[1889].start 11701.76346875
transcript.pyannote[1889].end 11709.07034375
transcript.whisperx[0].start 1404.079
transcript.whisperx[0].end 1413.37
transcript.whisperx[0].text 報告委員會出席委員10人以足法定人數請主席宣布開會好我們現在開會喔那就先進行報告事項請宣讀上次的會議議事錄
transcript.whisperx[1].start 1414.915
transcript.whisperx[1].end 1443.806
transcript.whisperx[1].text 立法院第十一屆第四會期司法及法治委員會第七次全體委員會議議事錄時間中華民國一百一十四年十一月十二日星期三上午九十一分至十二時二十分地點本院紅樓三零二會議室出席委員黃國昌委員等十三人列席委員林月琴委員等八人列席官員司法院副秘書長王梅英等人主席莊召集委員瑞雄報告事項宣讀上次會議議事錄決定確定討論事項並案審查司法院
transcript.whisperx[2].start 1444.386
transcript.whisperx[2].end 1464.892
transcript.whisperx[2].text 行政院罕行審議少年事件處理法部分條文修正草案等7案本次會議由委員黃國昌等14人提出質詢委員吳宗憲提出書面質詢決議報告及詢答完畢另定期繼續審查委員質詢時要求提供相關資料或以書面答覆者請相關機關敬書送交個別委員及本會宣讀完畢
transcript.whisperx[3].start 1469.144
transcript.whisperx[3].end 1496.963
transcript.whisperx[3].text 好 那謝謝那我們先等一下再確定議事錄那接著我們先介紹到場委員以及應邀的列席委員首先先介紹羅志強羅委員然後剛剛黃國昌委員也到了然後呢接下來今天列席的官員蠻多的首先是法務部鄭明謙次長鄭明謙部長 抱歉然後法務部調查局的陳柏麗局長
transcript.whisperx[4].start 1499.439
transcript.whisperx[4].end 1525.446
transcript.whisperx[4].text 經濟部的何進昌次長公共工程委員會的陳維祥副主委另外還有中油的方振仁董事長台電的副總經理黃順義那麼其他的列席官員我們就不再逐一的介紹並且會列入公報記錄那麼
transcript.whisperx[5].start 1534.748
transcript.whisperx[5].end 1546.873
transcript.whisperx[5].text 本次的議程我們排定是中油三接福報工程款爭議以及近年國營事業貪瀆案件查處成效的專題報告及詢答那麼我們首先先請
transcript.whisperx[6].start 1549.87
transcript.whisperx[6].end 1571.413
transcript.whisperx[6].text 法務部 法務部調查局 經濟部還有中油這四個單位來列席報告那麼其餘的機關的報告我們就列入公報記錄那待會進行報告的時候每位發言時間三分鐘為限因為今天的報告比較多好 那我們首先先請法務部正部長
transcript.whisperx[7].start 1577.004
transcript.whisperx[7].end 1602.554
transcript.whisperx[7].text 主席 各位委員 女士 先生今天奉邀列席貴委員會就中友三接服報工成款爭議及近年國有事業貪瀆案件查處成效代表本部列席報告並被質詢請請指教國有事業是國家政策的延伸牽涉重大的建設跟民生需求有關公眾公共利益本部長期重視廉政建設與防貪反貪
transcript.whisperx[8].start 1603.314
transcript.whisperx[8].end 1624.692
transcript.whisperx[8].text 政策不只在事後 數碳查辦更強調從源頭預防 讓民眾有感在防灘方面 本部推動機關採購廉政平台集合檢調政風 採購機關 公民團體承擔產商及時聯繫確保公正聯名 到今年的9月10日已設置90案 標案金額高達2兆1501億
transcript.whisperx[9].start 1626.613
transcript.whisperx[9].end 1643.688
transcript.whisperx[9].text 成為重大工程有力的後盾並同步推動企業服務廉政平台協力企業釐清法規界限減少舞弊風險那各檢察機關指揮廉政署調查局積極偵辦國營事業貪圖案件廉政署從109至今偵辦國營事業貪圖案件20案涉案人數99人
transcript.whisperx[10].start 1648.152
transcript.whisperx[10].end 1676.528
transcript.whisperx[10].text 貪污不法金額6500多萬元調查局自110年受理到目前只受理415件移送118件起訴了61件移送案件主要集中在中油 台電 自來水等國營事業移送罪名主要是政府採購法 貪污及詐欺等罪那有關中油三件案是有涉及及符號工程款項呢這個檢查機關已經依法分案偵辦
transcript.whisperx[11].start 1677.529
transcript.whisperx[11].end 1706.583
transcript.whisperx[11].text 那本部不介入不干預具體的個案支持檢察官依法獨立辦案秉持客觀中立勿枉勿縱徹底釐清事實本部將持續精進各項連任作為整合查辦局預防資源情話跨機關的合作打造從源頭防灘監控過程事後查辦的完整網絡為公共建設與設備發展進入穩固的法治誠信的一個基礎以上報告敬請主席各位委員指教謝謝
transcript.whisperx[12].start 1708.902
transcript.whisperx[12].end 1725.549
transcript.whisperx[12].text 好 謝謝部長那我們就先確定議事錄請問各位那上次的會議議事錄有沒有錯誤或遺漏好 如果沒有的話那麼我們就議事錄確定好 那麼接下來我們再請法務部調查局陳局長
transcript.whisperx[13].start 1732.365
transcript.whisperx[13].end 1746.702
transcript.whisperx[13].text 主席各位委員各位女士先生今天應邀列席貴委員會就中油三接福報工程款爭議及近年來國營事業貪毒案件查處成效進行專題報告請提出報告如次進行指教
transcript.whisperx[14].start 1748.003
transcript.whisperx[14].end 1767.341
transcript.whisperx[14].text 國營事業掌握龐大的公共資源所以如果發生不法的弊端常常是引起社會高度的矚目雖然民國94年修正刑法公務員的定義將國營事業人員排除在刑法第十條第一項第一款前段的身份公務員但是依據政府採購法
transcript.whisperx[15].start 1768.502
transcript.whisperx[15].end 1780.112
transcript.whisperx[15].text 辦理採購的時候其這個承辦跟監辦的人員仍然視為刑法上的授權公務員因此本局仍然將這一類列為我們貪毒案件的偵辦的對象
transcript.whisperx[16].start 1781.843
transcript.whisperx[16].end 1810.03
transcript.whisperx[16].text 那另外廠商在參標國營事業辦理政府採購法案件的時候如果是涉犯到該法的犯罪因為這一類的犯罪經常是貪圖案件的前期行為那因此本局也將它列為我們偵辦貪圖案件的一個類型那其次報告近年國營事業貪圖案件查處的成效那統計110年到114年我們總共移送了有118案那目前起訴了有61案
transcript.whisperx[17].start 1812.403
transcript.whisperx[17].end 1841.622
transcript.whisperx[17].text 那移送的这个法条主要是以违反政府采购法是诈诉违标类型是最多那其次是贪污之罪条例收贿跟诈取财物的次之那刑法诈欺罪的再次之那本局落实查处的作为第一点是落实辖区经营积极来发掘这个贪毒的线索那如果一经发掘到有不法我们会立刻启动调查报请检察官指挥来依法来侦办
transcript.whisperx[18].start 1842.262
transcript.whisperx[18].end 1861.282
transcript.whisperx[18].text 那第二點是強化這個偵辦的能量精進我們的偵查的技巧那積極來收證偵辦有關這個國營事業人員的這個貪圖的案件來達到嚇阻犯罪的效果那第三點是加強這個廉政的宣導尤其是宣導公益階幣者保護法
transcript.whisperx[19].start 1861.843
transcript.whisperx[19].end 1880.574
transcript.whisperx[19].text 那第四點有關中油三接福報工程款的爭議本局在114年8月的時候有接到檢舉那我們馬上就啟動了調查也細數檢察官在指揮偵辦中那結與本局外勤受理檢舉不法的案件一定會積極的來調查依法
transcript.whisperx[20].start 1883.296
transcript.whisperx[20].end 1897.185
transcript.whisperx[20].text 來以行政中立依法來調查然後已經查獲到不法的事證一定會積極的偵辦那證據到哪裡我們就辦到哪裡以嚴懲不法以上報告敬請指教 謝謝好 謝謝局長那麼我們接下來再請經濟部的何次長
transcript.whisperx[21].start 1911.824
transcript.whisperx[21].end 1927.755
transcript.whisperx[21].text 主席 各位委員 女士 先生感謝貴委員會對本部各項業務的協助與指教本部緊就中油三接福報工程款爭議及近年來國營事業貪圖案件查處的成效提出專案報告
transcript.whisperx[22].start 1929.524
transcript.whisperx[22].end 1948.973
transcript.whisperx[22].text 本部所屬的事業新辦重大工程的建設是為了確保工程專業性效率以及品質得依政府採購法相關的規定委託廠商提供技術服務包括與技術有關的可行性研究規劃 設計 建造 專案管理等有關媒體報導第三接收站二期
transcript.whisperx[23].start 1949.873
transcript.whisperx[23].end 1979.273
transcript.whisperx[23].text 中油公司系依據前接政府採購法相關的程序及規定選定國內知名且具海事工程專業技術服務豐富經驗的台灣世西辦理相關的設計預算以及招標文件的編列依照政府採購法相關的規定本部所屬的事業辦理相關工程的採購在採購公告之前應辦理公開閱覽的程序公開化透明化藉由公開徵求廠商或民眾的意見
transcript.whisperx[24].start 1980.333
transcript.whisperx[24].end 1997.662
transcript.whisperx[24].text 來提升公共工程的這個規劃品質反映公眾意見後完成招標文件的編訂於公告前依照政府採購法成立採購評選委員會審定招標文件中的評選項目評選的標準以及評定後方式之後方辦理
transcript.whisperx[25].start 1998.482
transcript.whisperx[25].end 2022.964
transcript.whisperx[25].text 正式的公告 中油公司本次的採購程序 藉由上開的政府採購法相關的規定來執行過程中並沒有任何的廠商向中油或公共工程委員會提出異議申訴本案113年就有接獲檢舉 經過政風單位的調查並未發現不法的情勢這次媒體所稱有錄音檔 新市政本部會再啟動調查
transcript.whisperx[26].start 2024.165
transcript.whisperx[26].end 2046.788
transcript.whisperx[26].text 也會全力配合檢調進行查證近三年來本部國營事業政風單位主動發掘疑涉貪圖不法線索經司法偵辦後起訴的案件包括緩起訴偵查後改以一般不法起訴的案件總共12案包括今年度起訴重大社會矚目的案件
transcript.whisperx[27].start 2047.87
transcript.whisperx[27].end 2066.211
transcript.whisperx[27].text 台電公司合二廠林口電廠徵信及租信廠廠長的收賄案以及中油公司油品行銷事業部高雄營業處的鄭姓前組長涉嫌收賄收賄案以上報告經營指教敬祝各位委員身體健康萬事如意謝謝
transcript.whisperx[28].start 2068.151
transcript.whisperx[28].end 2082.56
transcript.whisperx[28].text 好 謝謝次長那麼我們待會在中油的董事長方董事長報告完之後我還想再多邀請公共工程委員會的副主委然後也來幫我們報告一下好 謝謝那接下來就先請方董事長
transcript.whisperx[29].start 2092.379
transcript.whisperx[29].end 2117.06
transcript.whisperx[29].text 主席各位委員大家好今天的承蒙委員會邀請中油公司就中油三接福報工程爭議款以及近年來國營失業貪圖案件查處成效進行專案報告以下就做中油公司的業務部分提出報告我想首先在福報工程款爭議的說明我要先說明工程的背景
transcript.whisperx[30].start 2118.141
transcript.whisperx[30].end 2135.63
transcript.whisperx[30].text 中原公司是配合供應台電大潭電廠所需要新增發電基礎所需要的天然氣的需求以及北部地區民生工業用以及燃氣發電廠新增的天然氣需求所以編列了第三座液化天然氣接收站的一個投資計畫
transcript.whisperx[31].start 2137.717
transcript.whisperx[31].end 2153.107
transcript.whisperx[31].text 這個計畫在原編的時候是規劃了五項主體工程包括建港及圍堤造地工程、棧橋工程、氣化工程、除潮工程以及路管及配棄站工程投資總額是661億元這個計畫在108年的9月 奉行政院來核定
transcript.whisperx[32].start 2160.251
transcript.whisperx[32].end 2186.902
transcript.whisperx[32].text 那麼行政院後來在110年宣布了外推方案所以在這個觀塘工業港的部分必須往外海移455公尺因此在這個外擴防波堤的部分它必須要重新設計包括了防波堤結構的基礎以及整體配置都需要做調整那麼因此新增加了三項的主體工程
transcript.whisperx[33].start 2187.702
transcript.whisperx[33].end 2197.431
transcript.whisperx[33].text 包括了外貼方案的外擴防波堤的一個新建工程以及棧橋延伸段的工程還有製程設備及管線工程投資總額調整為965億
transcript.whisperx[34].start 2202.574
transcript.whisperx[34].end 2217.102
transcript.whisperx[34].text 那麼這個計畫也在111年的3月21號奉行這院核定至於媒體報導所謂第三接收站的二期這個是指的外推方案的外擴防波堤的興建工程
transcript.whisperx[35].start 2218.322
transcript.whisperx[35].end 2242.545
transcript.whisperx[35].text 那麼這個三接投資計畫原規劃的防波堤工程是由建港及維提造地的標案來執行但是為了因應外推方案所以原環平核准範圍內的碼頭碼頭後線以及部分防波堤還沒有調整的部分就繼續施作但是因為外推方案所需要重新調整的部分
transcript.whisperx[36].start 2243.386
transcript.whisperx[36].end 2260.326
transcript.whisperx[36].text 就要等待外推方案的還差通過以後才能夠施作也就是我們今天所講的這個主題我報告主席因為我想中油公司對於這個事情我需要多一點時間來做個說明可不可以允許我長一點好
transcript.whisperx[37].start 2261.175
transcript.whisperx[37].end 2279.647
transcript.whisperx[37].text 那麼原建港集會提造工程它有相關的一些工程事項最重要的就是防波體長度是3351公尺它的水深是在-15米水深以內它的沉箱基礎的泡放是60萬方的一個基礎飼料
transcript.whisperx[38].start 2280.928
transcript.whisperx[38].end 2308.74
transcript.whisperx[38].text 那麼這個案子的工程它相對水比較深那麼它在-20公尺到-29公尺而且它離岸有1.2公里所需要的基礎拋石料是160萬方所以在這樣一個工程它的施工的水益比較深施工難度也比較高所以這兩個案子施工的內容 量體 難度發包的時間都有所不同
transcript.whisperx[39].start 2309.6
transcript.whisperx[39].end 2331.629
transcript.whisperx[39].text 所以工程要去做一個成本上的比較事實上很難去類比這個案子的預算的編列是委託台灣世西顧問公司來辦理台灣世西公司經過細部設計以後就所有的工料以及機具他會去做盤點
transcript.whisperx[40].start 2334.289
transcript.whisperx[40].end 2353.644
transcript.whisperx[40].text 之後他就做出了一個建議的預算同時他也把一些大宗物料去詢問廠商他們對大宗物料的一些看法最後他提出來了一個本案的預算是238.4億億元交給中油公司來辦理公開越南
transcript.whisperx[41].start 2360.017
transcript.whisperx[41].end 2370.247
transcript.whisperx[41].text 那麼在公開閱覽的期間 廠商有幾點的肆意同時台灣世新也向國內的三個廠商去詢價那麼詢價的結果 東批公司是報256.5億元紅華公司是239.6億元黃昌團隊是報價269億元
transcript.whisperx[42].start 2384.421
transcript.whisperx[42].end 2402.457
transcript.whisperx[42].text 因此在這幾個數據綜合判斷以後提出了最後的預算總額是253.1億元中央公司根據這樣台灣市區的一個建議我們當然也去做一些內部的一個核算認為它的所建議的253億是合理的
transcript.whisperx[43].start 2408.018
transcript.whisperx[43].end 2421.093
transcript.whisperx[43].text 那麼對於近日的媒體報導中央公司也立即調解了相關的一個資料以及採購文件那麼本案工程預算編列的過程中並沒有媒體報導百億暴增至253億元變動四次的一個情形
transcript.whisperx[44].start 2424.946
transcript.whisperx[44].end 2448.65
transcript.whisperx[44].text 那麼接下來在公司內部的請購跟採購程序來講的話那公司當邊也經過一個董事會的同意之後呢 核定了這個253億接下來的再採購的程序那也進行開始發包那麼經過了兩次的一個開標呢最後是在第二次開標以後呢那麼由 決定是由黃昌這個團隊來得標那麼在這個
transcript.whisperx[45].start 2454.075
transcript.whisperx[45].end 2460.863
transcript.whisperx[45].text 這個投標的過程中只有兩家來投標那麼這兩家廠商它分別投的報價是東批公司是252.7億那麼黃昌團隊是253億
transcript.whisperx[46].start 2470.345
transcript.whisperx[46].end 2498.782
transcript.whisperx[46].text 接下來對於公安的部分以及工程品質的部分我想就書面資料請各位委員來參考最後我做個結議本案是委託國內知名的專業廠商台灣司機來辦理設計預算編列以及招標文件的製作經過它的內部的核算以及再次向國內廠商詢價終成評估以後本案招標預算是合理的
transcript.whisperx[47].start 2499.744
transcript.whisperx[47].end 2506.235
transcript.whisperx[47].text 那麼接下來中油公司依照政府採購法公告前辦理公開閱覽同時也經過董事會通過預算編的過程中並沒有媒體所報導的一個
transcript.whisperx[48].start 2513.244
transcript.whisperx[48].end 2541.092
transcript.whisperx[48].text 從百億暴增到253億變動四次的一個情形那麼至於媒體報導錄影檔中涉及中油公司必失的這個部分中油公司已經啟動行政調查作為那麼並將全力配合司法機關的釐清案情對於有惡意損害中油公司聲譽的行為也將採取適當的法律途徑來維護中油公司的聲譽以及權益那麼以上的報告敬請各位委員指正謝謝
transcript.whisperx[49].start 2544.061
transcript.whisperx[49].end 2547.674
transcript.whisperx[49].text 好 謝謝方董事長那我們接下來請公共工程委員會的陳副主委
transcript.whisperx[50].start 2555.2
transcript.whisperx[50].end 2576.493
transcript.whisperx[50].text 主席 各位委員大家好今天從某國委員會邀請本會就今天的議題提出專案的報告我底下請就中油三接相關工程的審議招標跟禮約的查核的部分提出報告 請各位委員不認執照
transcript.whisperx[51].start 2577.734
transcript.whisperx[51].end 2593.768
transcript.whisperx[51].text 那麼我們現在在講的有關中油三接的這個計畫大概分為兩期的投資目前媒體報告的大概是針對第一期的投資那這個第一期的投資是行政院在104年9月4號核定的最後的總經費是965.62億元
transcript.whisperx[52].start 2598.132
transcript.whisperx[52].end 2622.082
transcript.whisperx[52].text 那第二期的投資計畫是為了要提升這個卸收儲存及運輸的能力那目前還在國發會這個審查當中那麼有關國營事業投資新興公共工程及房屋建築的計畫那麼依照這個政府公共工程計畫以經費審議作業要點的規定
transcript.whisperx[53].start 2626.263
transcript.whisperx[53].end 2649.631
transcript.whisperx[53].text 這個無需送工程會來審核是由這個主管的部會自行來審理那麼有關報宅的這個所謂外推防波堤的工程的這個招標那麼依照我們看到的這個文件是在111年4月29號辦理第一次的公開招標
transcript.whisperx[54].start 2651.272
transcript.whisperx[54].end 2669.111
transcript.whisperx[54].text 第一次因為未達三家流標後來中油在111年6月29號辦理第二次招標最後是由黃昌營造跟幻亞工程共同得標
transcript.whisperx[55].start 2672.126
transcript.whisperx[55].end 2688.821
transcript.whisperx[55].text 我們查了一下有關第一期三接的工程大概總共有八件其中有六件已經申報竣工本案相關的黃坡堤外推黃坡堤的工程目前還在施工當中
transcript.whisperx[56].start 2690.912
transcript.whisperx[56].end 2705.296
transcript.whisperx[56].text 其餘的一件工程有達到99.99%有關本件的外推防波堤的部分目前的進度是75.52%進度是超前16.52%經濟部跟本會總共曾經查核三次
transcript.whisperx[57].start 2713.098
transcript.whisperx[57].end 2736.138
transcript.whisperx[57].text 那麼查核的分數大概維持在80到81分之間大概屬於比較正常的一個那因為上禮拜在交通委員會那麼也討論過這個案子我們會在兩個月內啟動啟動這個集合那如果有任何的結論我們再向貴委員提出報告謝謝 以上
transcript.whisperx[58].start 2738.331
transcript.whisperx[58].end 2756.712
transcript.whisperx[58].text 好 謝謝陳副主委那接下來我們就開始進行詢答那本會委員詢答時間為8分鐘必要時候得延長2分鐘非本會委員詢答時間為5分鐘並且不再延長那上午10點30分截止發言登記那我們首先先請第一位的黃國昌委員
transcript.whisperx[59].start 2770.483
transcript.whisperx[59].end 2789.976
transcript.whisperx[59].text 謝謝主席 麻煩有請法務部部長經濟部的市長以及中友的董事長委員長三位早 時間的關係先請教一下中友董事長中友在108年到109年的時候負債比有多高
transcript.whisperx[60].start 2795.418
transcript.whisperx[60].end 2796.841
transcript.whisperx[60].text 當時大概在50%到60%之間當時是60%嗎現在負債比有多高現在負債比到達93%
transcript.whisperx[61].start 2804.622
transcript.whisperx[61].end 2829.504
transcript.whisperx[61].text 到達93%嘛一個93%的財務結構我必須要說從財務的觀點這家國營事業令人捏把冷汗負債比93%是什麼概念我相信念財務工程的人大家心裡都有數但問題是我們從中油實際上面的表現看不出來中油的財務狀況很糟糕
transcript.whisperx[62].start 2832.049
transcript.whisperx[62].end 2845.803
transcript.whisperx[62].text 從實際上面的狀況我們看出來的是中油很有錢中油超級有錢花錢的方式完全不像一個負債比從幾年前60%
transcript.whisperx[63].start 2847.952
transcript.whisperx[63].end 2877.107
transcript.whisperx[63].text 到現在最近已經高達93%的公司我為什麼這樣講 我們從頭開始看2022年中油貪污的弊案你們在今天的書面報告裡面是輕描淡寫的寫了徐漢兩個字相關的案子只有徐漢嗎只有徐漢嗎我在PVP上面全部都列出來了不是只有列油事業部的執行長徐漢還包括你們的工程師
transcript.whisperx[64].start 2879.235
transcript.whisperx[64].end 2907.417
transcript.whisperx[64].text 儲運科前董事煉製事業部全部都淪陷導致檢察官在起訴書上面寫什麼中油貪腐結構根深蒂固中油的貪腐結構根深蒂固這八個字不是我說的是檢察官在起訴書裡面說的檢察官認為中油的貪腐結構根深蒂固董事長認不認同
transcript.whisperx[65].start 2909.937
transcript.whisperx[65].end 2936.274
transcript.whisperx[65].text 這個部分我想我不能完全認同不能完全認同這個絕對不是結構性的問題你要去告北檢妨礙名譽嗎這應該是個案這是個案嘛所以檢察官這樣寫你覺得你沒有辦法認同嗎我沒辦法認同好沒有關係我們繼續往下看這次的這個案子羅志強委員他追得很辛苦那我看羅委員出來追啊
transcript.whisperx[66].start 2937.472
transcript.whisperx[66].end 2950.911
transcript.whisperx[66].text 我也要看一下到底發生什麼事中有液化天然氣而去接收站我們就一般就稱為三接本來規劃五項主體工程660億這個沒有錯吧這個沒錯
transcript.whisperx[67].start 2954.551
transcript.whisperx[67].end 2981.158
transcript.whisperx[67].text 那後來呢因為藻礁的爭議所以你們推出了外三階的方案嘛往外再延伸嘛新增三項工程嘛新增這三項工程包括棧橋延伸包括外鍋防波堤包括製程設備及管線工程這個也沒錯嘛這個也沒錯然後時程增加2.5年嘛好那我現在就看了我就看不懂
transcript.whisperx[68].start 2982.673
transcript.whisperx[68].end 3003.79
transcript.whisperx[68].text 2021年5月我們行政院宣布中游三接外推方案預算增加150億只有150億嗎只有150億嗎剛剛提到計畫預算是增加大約是300對 這個就是我今天要質詢的第一個point我們的行政院在幹嘛搞大內宣啊
transcript.whisperx[69].start 3004.833
transcript.whisperx[69].end 3016.287
transcript.whisperx[69].text 欺騙國人啦當初行政院是行政院院會耶王美花自己出來宣布耶增加只有150億耶怎麼後來會變成增加300多億這個是發生什麼事
transcript.whisperx[70].start 3021.088
transcript.whisperx[70].end 3045.535
transcript.whisperx[70].text 委員我可以做個說明嗎是請說這個部分講的150億是講說這個直接工程的部分150億但是在編列預算的時候還要考慮其他的因素譬如說在工程試作期間有沒有誤調的問題我這樣講好了啦納稅人關心的就是這樣搞要多花多少錢嘛還有在你們這邊解釋來解釋去啊
transcript.whisperx[71].start 3049.927
transcript.whisperx[71].end 3072.827
transcript.whisperx[71].text 150億是直接工程然後其他的是其他的那行政院院會宣布這150億有何意義行政院院會宣布這150億有何意義這150億啊你仔細看啊這還不是只有行政院院會宣布啊來你看這個表三接迴避替代修正方案與外推方案之比較這個表你有看到嗎
transcript.whisperx[72].start 3074.124
transcript.whisperx[72].end 3080.837
transcript.whisperx[72].text 呃有有這個表是你們中油做的沒錯吧是是來你看下面預算增加多少錢150億啊這也是你們中油寫的啊
transcript.whisperx[73].start 3086.769
transcript.whisperx[73].end 3103.631
transcript.whisperx[73].text 是沒錯 但是你看這些項目指的都是直接工程我剛剛講的就是說直接工程是150億沒關係啦 今天第一件事以後請你們中油跟行政院包括經濟部對納稅人說明的時候講清楚啦300多億就300多億
transcript.whisperx[74].start 3107.316
transcript.whisperx[74].end 3129.97
transcript.whisperx[74].text 寫個150億 等到我去發預算書的時候發現根本不是150億在東解釋西解釋的 納稅人關心的是什麼關心你多花多少錢嘛 我講的對不對對 以後我們改好 多編300多億是什麼時候編的 預算最後通過是111年的3月份
transcript.whisperx[75].start 3131.162
transcript.whisperx[75].end 3154.701
transcript.whisperx[75].text 預算是什麼時候編的計畫本身965是111年的對我問你預算什麼時候編的你指的是工程本身的發包預算不是啦要經過立法院審核通過的預算我們是立法院嘛你們編預算嘛我們審嘛審了通過了以後你們下去執行嘛正常的民主國家不是這樣嗎這預算什麼時候編的
transcript.whisperx[76].start 3161.016
transcript.whisperx[76].end 3187.473
transcript.whisperx[76].text 965億這個部分是修正計畫的項目是預算什麼時候編的就是111年的3月份行政院核定是預算什麼時候編的我們應該是在110年會去做這個計畫修正然後報經濟部對不起你還是沒有回答我的問題預算什麼時候編的您是指原始預算嗎不是修正過要增加300多億的預算什麼時候編到預算書裡面送到立法院來審核
transcript.whisperx[77].start 3190.404
transcript.whisperx[77].end 3211.295
transcript.whisperx[77].text 不知道應該是會在111年的預算書上會去揭露好來看你們實際上預算暴增305億這個我剛講過了所以發生這件事情我就回去看預算書啊我每一年的預算書都對啊來我對出來了我直接給董事長看
transcript.whisperx[78].start 3212.694
transcript.whisperx[78].end 3242.048
transcript.whisperx[78].text 你們是111年喔立法院審核通過的預算書喔都還是原來的金額660億的金額 你有沒有看到有看到這個是立法院審核通過的你們什麼時候預算書開始多300多億啊到965億是112年才出來的112年的預算書才編的啊你看到沒有我看到了那我現在就搞不懂啊
transcript.whisperx[79].start 3243.495
transcript.whisperx[79].end 3270.972
transcript.whisperx[79].text 300多億你們是到112年的預算書才呈現那請問現在有關於真正大家在爭議的那個外推的工程是什麼時候決標的111年的7月那我現在問題就來了你的預算還沒有送到立法院來立法院還沒有審通過立法院審不審對你們來講沒有差
transcript.whisperx[80].start 3273.991
transcript.whisperx[80].end 3284.921
transcript.whisperx[80].text 我反正就決標下去啦連預算都沒有就可以辦決標我看不懂啊所以現在立法院在審國營事業的預算是形同劇文嗎是形同劇文嗎報告委員
transcript.whisperx[81].start 3291.929
transcript.whisperx[81].end 3315.275
transcript.whisperx[81].text 就我的認知的話 就是在修正計畫的部分對 修正計畫是你們行政院的事嘛好 那我現在的問題來了在一個民主法治國家當中是行政院編預算就可以花錢還是立法院要通過預算才能夠花錢這是我的問題如果行政院編預算就可以花錢不用立法院審核通過
transcript.whisperx[82].start 3316.806
transcript.whisperx[82].end 3322.736
transcript.whisperx[82].text 那立法院廢掉算啦我們省什麼預算啦所有的立委在這邊省心酸的
transcript.whisperx[83].start 3325.509
transcript.whisperx[83].end 3348.389
transcript.whisperx[83].text 立法院有同意這個計畫嗎新興計畫本身是已經同意了是誰同意的我說原始的計畫是行政院對嘛 原始計畫不是660億嗎那個是立法院也同意的是 沒錯所以立法院同意你用660億我一點問題都沒有但是後續的修正計畫的話目前在行政院的部分是何準我們先行動之啊
transcript.whisperx[84].start 3349.301
transcript.whisperx[84].end 3377.51
transcript.whisperx[84].text 對嘛 這個就是我現在的問題嘛在我們現在的預算制度裡面反正行政院最大行政院編了立法院還沒有審核我就直接先幹了嘛我有說錯嗎那我的問題來啦我們的立法院審國營事業的計畫是要做什麼因為整個我看到的啊叫做從立法院的觀點來看我跟董事長報告我看到什麼先設建後化吧
transcript.whisperx[85].start 3378.723
transcript.whisperx[85].end 3391.133
transcript.whisperx[85].text 先設建後化吧我行政院預算膨脹啦本來告訴社會大眾150億後來變成365億後來誇張到365億都還沒有送到立法院來審核我連決標都做好啦我國的預算制度到底出了什麼問題啊讓你們這樣胡搞瞎搞
transcript.whisperx[86].start 3408.956
transcript.whisperx[86].end 3421.023
transcript.whisperx[86].text 我們立法院到底在省什麼預算啊我錢要花就花啦你們這些立法委員橡皮圖章而已啊我行政部門就是要先設建再畫吧150億到365億更離譜的是365億連預算立法院都還沒有省我已經絕標啦預算到2023年的時候才編
transcript.whisperx[87].start 3439.864
transcript.whisperx[87].end 3463.737
transcript.whisperx[87].text 但是我2022年絕標啦請問要立法院審這樣的預算有何意義立法院可以不同意嗎到時候你們說 報告委員不好意思喔你們雖然還沒有通過預算啦我們中友早就絕標要做這件事啦可以這樣幹喔
transcript.whisperx[88].start 3465.868
transcript.whisperx[88].end 3492.358
transcript.whisperx[88].text 可以這樣幹嗎還是你們覺得按照我國現行的預算制度中油這樣幹剛剛好而已 是這樣嗎我想報告委員中油公司的所謂預算跟執行都依照現有的制度來去執行對啊 但我現在就挑戰嘛你們根本沒有按照現有的制度啊我事情都還沒有說完啊我看你們啊 暴增305億我想要看裡面的項目
transcript.whisperx[89].start 3493.41
transcript.whisperx[89].end 3521.056
transcript.whisperx[89].text 到底是什麼項目要花多少錢305億那個在旁邊搖耳朵的你有話要講直接上來回答你先等一下報徵305億中油的預算書長這個樣子來我請教一下董事長如果你今天當立法委員你要怎麼審這個預算只有數字我有一個計畫的目的我有一個計畫的內容我有一個投資的總額
transcript.whisperx[90].start 3522.904
transcript.whisperx[90].end 3550.525
transcript.whisperx[90].text 全部的字數加起來不超過100個字然後我看到的數字是多了365億這個是把立法委員當什麼你要不然就是把我們當神仙我們是神仙啊終有什麼 什麼都不用提供100個字之內概述計畫內容多365億我們是神仙要知道裡面的細部
transcript.whisperx[91].start 3551.533
transcript.whisperx[91].end 3568.008
transcript.whisperx[91].text 到底合理不合理那要不然呢這些立委全部上班的時候都在混都在打瞌睡都在閉著眼睛審預算是誰教你們預算書寫成這個樣子的啊這樣是要立法院怎麼審
transcript.whisperx[92].start 3570.822
transcript.whisperx[92].end 3595.382
transcript.whisperx[92].text 我想現在我們在這個文書報表所呈現都是一些標準的格式沒有關係啊 是誰訂的標準立法院訂的標準嗎還是行政院訂的標準沒有關係啊 過往的陋習我為什麼今天挑這個題目直接切進來是不是有弊案讓檢調去調查我光從立法院該監督的錢怎麼給你們的
transcript.whisperx[93].start 3599.194
transcript.whisperx[93].end 3618.067
transcript.whisperx[93].text 計劃經費怎麼暴增的預算怎麼審核的預算還沒有過以前你們都已經絕標啦在民主國家當中這種預算制度如果按照董事長所講這是正常的話我們要徹底全盤的重新檢討我國的預算制度
transcript.whisperx[94].start 3620.046
transcript.whisperx[94].end 3644.258
transcript.whisperx[94].text 我再說一次如果按照你們所說的這樣子做是正常的我們要徹底全盤的重新檢討我們的預算制度但我看到的是什麼我看到的是叫做先設建後劃把先設建後劃把立法院預算都還沒有通過你們絕標都已經辦了甚至你們絕標的金額那三項工程加起來多少錢董事長知道多少錢嗎
transcript.whisperx[95].start 3645.563
transcript.whisperx[95].end 3674.104
transcript.whisperx[95].text 三項工程嘛本來宣布一百五十億後來邊預算邊到增加到三百零五億最後那三項工程花多少錢三百三十億左右來 我算出來了三百四十三億你們也是很厲害先設限再劃吧就算了過的增加的預算是三百零五億三項工程來我報給你聽哈前面
transcript.whisperx[96].start 3675.529
transcript.whisperx[96].end 3703.689
transcript.whisperx[96].text 在111年 預算還沒有通過喔我再強調 預算還沒有通過喔111年3月 棧橋延伸興建工程東坯營造 經務大工程就先絕標了 20億就是這一次 那個外接方案沒有得標的廠商嘛 就他們嘛我看了也很狐疑 原來就是這一億兩家廠商在那邊吵 到底該你的還該我的
transcript.whisperx[97].start 3704.71
transcript.whisperx[97].end 3706.271
transcript.whisperx[97].text 111年3月 棧橋延伸興建工程20億111年7月29號 黃昌營造253億
transcript.whisperx[98].start 3716.82
transcript.whisperx[98].end 3740.347
transcript.whisperx[98].text 後來呢 外國防波興建工程做契約變更 再追加2840萬給他第三個 製程設計與管線統包工程這是第三項工程嘛第三項工程69億加起來343億作為一個立委 現在我就看不懂了我們給你們的預算我們同意增加305億結果你們決標可以決標到343億
transcript.whisperx[99].start 3747.289
transcript.whisperx[99].end 3749.578
transcript.whisperx[99].text 這個是怎麼回事可以說明一下嗎
transcript.whisperx[100].start 3750.718
transcript.whisperx[100].end 3779.33
transcript.whisperx[100].text 就是剛剛我跟委員所報告的直接工程150億但是這個計畫本身編列預算還有其他的像是對啊 就到965億啊對對對那所以相差多少 305億嘛這裡面就是說我們會去籌備一些物調的一個所以你的意思是什麼自己從別的項目挪用過來嗎對對對 還有工程準備我的老天啊就其他的項目我再講一次我痛恨你們這種
transcript.whisperx[101].start 3782.421
transcript.whisperx[101].end 3803.795
transcript.whisperx[101].text 用含糊其詞的方式在欺騙國人本來給你們660億追加到965億 多了305億立法院還沒有審通過你們就絕標了 膽大包天第二個 更扯的是什麼算出來的何止305億 343億
transcript.whisperx[102].start 3809.813
transcript.whisperx[102].end 3829.078
transcript.whisperx[102].text 中油為什麼負債比現在高達93% 中油很有錢啊預算還沒有過 直接先絕標 絕標下去本來多三項工程305億從我們前面詢答的過程當中 我講得非常清楚了150億到305億 最後花343億 343億
transcript.whisperx[103].start 3838.413
transcript.whisperx[103].end 3862.691
transcript.whisperx[103].text 中友怎麼能不虧 出手大方啊 大方的不得了啊稍微 今天既然排這個專案報告因為中友他前面所編的那305億 細項到底是什麼大家根本都不知道 這個是第一件事情第二件事情 編預算編305億他們自己知道的絕標喔 就已經343億了
transcript.whisperx[104].start 3865.034
transcript.whisperx[104].end 3879.551
transcript.whisperx[104].text 中油到底錢怎麼花的到底錢怎麼花的從哪些項目又多挪了三十幾億來搞這個三接是不是可以請召委等一下才是會後看這個禮拜禮拜五以前
transcript.whisperx[105].start 3880.672
transcript.whisperx[105].end 3898.047
transcript.whisperx[105].text 是不是把所有的細項資料都交到司法法治委員會來這樣我們排這個專案報告才有意義嘛那要不然中央的董事長在上面問他的問題他也沒有辦法回答其他的細的項目我們也沒有辦法看得到是不是等一下請麻煩召委裁示一下
transcript.whisperx[106].start 3899.813
transcript.whisperx[106].end 3922.694
transcript.whisperx[106].text 我想請中郵待會依照黃委員的意見然後將你們採購的細項的一些說明書在星期五下班之前提供給我們司法法治委員剛剛我的問題很具體嘛你聽得懂嗎沒有含糊涼
transcript.whisperx[107].start 3924.215
transcript.whisperx[107].end 3943.931
transcript.whisperx[107].text 絕對沒有含糊其詩的地方了嘛兩個重點 第一個細項第二個呢 超過150億的部分這些預算是從計畫裡面哪個項目是 從哪個地方挪過來的那要不然我覺得立法院在審預算根本是在審耍寶的還是在審辛酸的好 謝謝好 謝謝黃委員好 那謝謝董事長那就請你們星期五之前要交下班之前交好 那接下來我們請
transcript.whisperx[108].start 3954.404
transcript.whisperx[108].end 3955.585
transcript.whisperx[108].text 羅志強委員發言有請法務部調查局經濟部交通部然後廉政署以及中油董事長麻煩請相關單位的長官列席 謝謝
transcript.whisperx[109].start 3985.538
transcript.whisperx[109].end 3986.899
transcript.whisperx[109].text 先請中央董事長委員長我先問你三個非常簡單的問題來 請你告訴我第一個 什麼時候告《金週刊》目前呢 我們公司內部在啟動我再問你一次 什麼時候告《金週刊》目前沒有 我覺得現在目前沒有啊 你的報告怎麼寫的你說這些所有都不實報導不是嗎
transcript.whisperx[110].start 4011.618
transcript.whisperx[110].end 4029.372
transcript.whisperx[110].text 我們講的意思就是說現在重點我們要啟動內部的行政調查你看你迴避 心虛嘛我直接講結論啦你報告不用寫了啦還想那麼正正有詞不實你就要告 報告是不是這樣寫
transcript.whisperx[111].start 4030.981
transcript.whisperx[111].end 4046.652
transcript.whisperx[111].text 第一個就是說我問你嘛 你有沒有看報告不會報告出來你都沒看吧我講的意思就是說行政調查同時我們要配合檢調單位的一個調查結果董事長你光第一個問題就答不出來連報告自己怎麼寫都不知道
transcript.whisperx[112].start 4047.762
transcript.whisperx[112].end 4075.629
transcript.whisperx[112].text 裡面就說只要是不實報道你們會提出告訴是 只要是不實對啊那請問你現在進週刊所以你沒有要告嘛那進週刊叫報道就屬實啦我告訴你 我直接告訴你你要告的還不只是進週刊報道你的三接二期的弊案今天進週刊又加碼爆料你的三接一期都有問題兩單一起告啦 好不好
transcript.whisperx[113].start 4077.506
transcript.whisperx[113].end 4091.387
transcript.whisperx[113].text 不 答不出來 任5秒問第二個問題 來錄音檔內的業者是不是東批公司是不是 告訴我目前不確定不確定啦來 部長 是不是東批公司
transcript.whisperx[114].start 4093.591
transcript.whisperx[114].end 4110.385
transcript.whisperx[114].text 這部分已經剪掉臉我知道啦 謝謝部長休息休息 我知道你說個案不討論來 調查局局長是不是東批公司這個我就不方便說明我知道你一定答案一模一樣啦我告訴你們來 董事長上來我再問你是不是東批公司
transcript.whisperx[115].start 4111.104
transcript.whisperx[115].end 4128.227
transcript.whisperx[115].text 目前不確定 不確定啊 非常好啊在我們資料上不確定我來去當 那個部長來去當調查局局長好了啦我幫你們來推估是不是東坯公司 來 我想請教一下最後齁 尋價結果齁 來 董事長黃昌說多少錢269億洪華說多少錢230餘億239億東坯說多少錢
transcript.whisperx[116].start 4143.33
transcript.whisperx[116].end 4161.595
transcript.whisperx[116].text 256億來來來週刊的報導來告訴你是不是東批公司啊週刊報導說外界說這個工程94億就能做業者錄音帶業者說他提122億的價格你們中油高層豪氣說中油什麼都沒有欠啦錢最多啦
transcript.whisperx[117].start 4162.881
transcript.whisperx[117].end 4186.096
transcript.whisperx[117].text 不缺錢啦然後等於是叫他繼續往上加他加了多少 150億還繼續被中油罵然後呢 加到220億再度被中油高層大罵中油高層罵我你這做頭家不會做頭路你都聽不懂你做什麼頭路囂張啊 這位中油高層非常囂張喔好 來
transcript.whisperx[118].start 4187.914
transcript.whisperx[118].end 4211.087
transcript.whisperx[118].text 這個營造商抱怨啦 90幾億可以做第一次抱120億 他說太低 150億又被罵叫他抱高一點最後他報價 報到多少 周刊報導 報多少請問 報多少報給你們周郵多少 告訴我 周刊報導 有沒有看不會沒看吧我看了 我看了民意這麼重要 有看 來周刊報導 他報多少給你們
transcript.whisperx[119].start 4212.014
transcript.whisperx[119].end 4219.057
transcript.whisperx[119].text 報告委員 從這個周刊的報導你告訴我 你給我數字你給我數字啊你不要迴避問題喔我問你這麼簡單的數字 最後報給你多少錢我講是周刊的報導周刊報導這個廠商報給你多少錢
transcript.whisperx[120].start 4235.356
transcript.whisperx[120].end 4241.68
transcript.whisperx[120].text 告訴我答對了來請問你剛剛講東坯公司報多少錢我去當部長我去當局長一模一樣啦是不是東坯公司我再問你來請問來請教部長這麼清楚啊東坯公司要不要約談一下
transcript.whisperx[121].start 4262.559
transcript.whisperx[121].end 4281.921
transcript.whisperx[121].text 個案不評論這部分我想那個辦案單位有他的偵查的一個規劃來請局長依常理啦不要跟著部長好不好來局長對你喜許甚深依常理我幫你推估到這種程度了直指東批公司
transcript.whisperx[122].start 4283.297
transcript.whisperx[122].end 4298.686
transcript.whisperx[122].text 總要去約談一下吧了解一下吧謝謝委員的推估我們會參照委員的意見好謝謝你謝謝局長部長看一下局長起碼有誠意多了來我第三個問題要問你來第三個問題問你我想請教一下我們的董事長請問這中油高層這位總經理說中油不缺錢報告一點的總經理是不是你
transcript.whisperx[123].start 4310.948
transcript.whisperx[123].end 4333.675
transcript.whisperx[123].text 報告委員 從這個周刊的報導 所謂總經理上面並沒有講中游非常好 你是指世襲嗎我不知道不是台灣世襲就是中游啊這個部分我不知道來來來 請教你 為什麼直接問你啊我給你呈現一個機會啦三接二期是哪一年招標的哪一年決標的都是在111年對啊 2022年6月29日招標8月2號決標嘛 對不對來 請問
transcript.whisperx[124].start 4339.878
transcript.whisperx[124].end 4349.843
transcript.whisperx[124].text 董事長你那個時候在中油的職位是什麼我是111年4月12號升任總經理所以在4月12號之前我是副總經理
transcript.whisperx[125].start 4351.445
transcript.whisperx[125].end 4373.143
transcript.whisperx[125].text 你說111年之前 升任總經理4月12號升任總經理就是你這個總經理啊 不是嗎這個事情應該是發生在請購預算核定階段前總經理啊 謝謝你 非常好非常好 總理長我真的佩服你啊原來是前總經理啊來來來 沒關係來 那個部長
transcript.whisperx[126].start 4380.305
transcript.whisperx[126].end 4406.696
transcript.whisperx[126].text 人家都把總經理都講出來而且他直接跟你講是前總經理雖然招標的時候絕標的時候他是總經理可是他說前面的階段他不是總經理那應該前總經理的事情前總經理要不要約談一下來 個案尊重檢方這個我想有辦案單位來做一個好 非常謝謝那我再提示一下提示一下我們局長我給你第二個名字對你多好對 給你第二個人
transcript.whisperx[127].start 4407.815
transcript.whisperx[127].end 4433.564
transcript.whisperx[127].text 謝謝 謝謝委員我不直接直接問你回答因為你回答可能也要跟部長一樣偵查不公開我們都會參考 謝謝謝謝你參考謝謝 謝謝委員兩個單位給你了來我再請教你第三個我想請問第三個單位要跟你講我看你們報告一直在講什麼台灣四溪對不對來 總市長請是 沒錯台灣四溪
transcript.whisperx[128].start 4435.188
transcript.whisperx[128].end 4464.671
transcript.whisperx[128].text 那我跟局長直接說啊所有的那些報價的過程當中台灣世襲證據一定在台灣世襲嘛台灣世襲我們現在董事長是誰鄭雲鵬啊鄭雲鵬7月才接我先幫他講啦這事跟他沒關係啦可是他是董事長就我所知崔少哲也有去跟台灣世襲那邊所以請鄭雲鵬也來好好瞭解一下
transcript.whisperx[129].start 4465.906
transcript.whisperx[129].end 4489.424
transcript.whisperx[129].text 我今天給你三個名字我最後回頭說 我要跟大家講我不認為週刊報導是空穴來風你看週刊報導多好256億寫的清淨數今天如果說你給三家公司尋價結果沒有256億這個數字那我覺得週刊胡說八道你給的三家公司有一家是256億就這麼清楚
transcript.whisperx[130].start 4493.971
transcript.whisperx[130].end 4521.471
transcript.whisperx[130].text 那今天說真的那麼清楚啦檢方趕快要辦一辦那我再要請教我們的董事長剛剛我們的黃國昌委員說中油實在是檢察官說的中油公司貪腐結構根深蒂固你反對嘛你不認同嘛對不對不認同來來來好第一點來我想請教一下部長
transcript.whisperx[131].start 4523.166
transcript.whisperx[131].end 4523.806
transcript.whisperx[131].text 請教部長我們偵辦從110年到114年國營事業貪賭案移送最多的公司 國營事業是哪一家
transcript.whisperx[132].start 4544.27
transcript.whisperx[132].end 4573.195
transcript.whisperx[132].text 這部分我沒有資料那局長了解了 局長給的資料吧哪一家移送最多中油比較多中油比較多 謝謝局長謝謝 謝謝董事長你中油當然了不起啊 第一名啊那麼多國營事業公司你被移送第一名啊你驕傲啊黃國昌剛還是引用檢方的說法你不認同啊來 沒關係 你不認同來 我再問你一個數字
transcript.whisperx[133].start 4574.963
transcript.whisperx[133].end 4602.643
transcript.whisperx[133].text 今天我要把一句句話念給你聽離譜到什麼程度到現在還不敢跟我講你到底要告不告中油什麼都不欠 錢最多都不欠錢周刊報導啊中油欠不欠錢中油來講目前負債比很高你也知道啊 你也知道啊過去五年啊 賠了三千億
transcript.whisperx[134].start 4604.777
transcript.whisperx[134].end 4618.731
transcript.whisperx[134].text 錢最多 錢賠最多啦為什麼會賠那麼多報告如果屬實三兆你都賠不完隨便一個工程一家150億還去罵廠商報價報太低了來給你反駁啊
transcript.whisperx[135].start 4629.775
transcript.whisperx[135].end 4657.191
transcript.whisperx[135].text 那麼過去三年中油公司負債比從60%提高到93%最最主要的原因在這過去三年裡面中油公司承擔了在國內物價的一個好率謝謝你的回答啦我告訴你最最主要原因承擔物價最最重要原因就是福報工程價格週刊報導的承擔物價這是國家政策我不怪你
transcript.whisperx[136].start 4659.141
transcript.whisperx[136].end 4687.355
transcript.whisperx[136].text 可是今天嚴重到這種程度結果到現在為止你還是不敢講你告不告週刊我告訴你就心虛週刊報的就是真的我相信週刊我真是相信金週刊啊對啊你也相信啊所以你不敢告啊他還不只告你不只講中三階二期啊他今天爆料三階一期也有問題啊中友還在說沒有貪腐沒有貪腐結構沒有根深蒂固
transcript.whisperx[137].start 4688.598
transcript.whisperx[137].end 4700.261
transcript.whisperx[137].text 你拿什麼說服力告訴大家賠三千億怎麼賠就你偉大的中游啊但今天我對總經理有一句話講得最好我本來今天就要好好來質疑你
transcript.whisperx[138].start 4702.021
transcript.whisperx[138].end 4719.769
transcript.whisperx[138].text 我們要請你要自行調查就你跟我講 你的答案我接受你說抱歉 絕標招標你是總經理但是所有事情完成是在絕標招標之前那不關你的事 那是前總經理所以爆料裡面的總經理不是你這個我聽起來有道理 我覺得有道理
transcript.whisperx[139].start 4721.547
transcript.whisperx[139].end 4732.883
transcript.whisperx[139].text 可是今天中油根深蒂固的腐爛你董事長與有責焉啊那為什麼你直接告訴董事長既然是前總經理的事情不要包庇啊該辦就辦鐵碗斷然的去辦
transcript.whisperx[140].start 4738.373
transcript.whisperx[140].end 4760.739
transcript.whisperx[140].text 可以嗎我們還是要就這個事情他是不是有這樣的一個情形要把它弄清楚謝謝 弄清楚你剛剛不是講弄清楚就是沒這個事我們現在重啟調查因為現在有新市政了包括這個錄音檔所以你現在也不確定有沒有事很好啊你有自我懷疑精神我謝謝你今天中油自己都開始懷疑自己好事情
transcript.whisperx[141].start 4763.833
transcript.whisperx[141].end 4789.786
transcript.whisperx[141].text 請法務部聯政署調查局好好幫助你來驗證你的自我懷疑正不正確 謝謝好 謝謝那我們接下來請吳宗憲委員發言謝謝主席我們麻煩請工程會 中油還有經濟部麻煩請工程會 中油還有經濟部
transcript.whisperx[142].start 4799.854
transcript.whisperx[142].end 4815.066
transcript.whisperx[142].text 先請教工程會我看一下上週的預告修正的政府採購法那我看到的是要刪除三加比較限制的條款那目的是為了提升效率還有鬆綁基層採購的壓力是不是這樣
transcript.whisperx[143].start 4816.887
transcript.whisperx[143].end 4836.018
transcript.whisperx[143].text 報告委員 那麼原則上是往這個方向但是我們現在看到的就是因為民進黨長期執政之下其實有一個東西已經被台灣大多數人所公認就是民進黨執政之下其實圖利瓜分這個國家的財產變成是一個日常
transcript.whisperx[144].start 4837.179
transcript.whisperx[144].end 4858.286
transcript.whisperx[144].text 那連今天經濟部的報告都說要會全程依法公開 程序會嚴謹但是國營採購的弊案還是層出不窮就像今天那個中油的董事長說從對黃國昌的回應還有對於羅志強的回應你一直講一句話說你不認同他們的指控但是我今天要跟你講不要說剛剛那兩位立委的說法
transcript.whisperx[145].start 4859.506
transcript.whisperx[145].end 4888.027
transcript.whisperx[145].text 調查局跟廉政署的報告都已經講得很清楚了他有提到說近五年來移送以中油最多台電次之所以剛剛那兩位委員的質疑是錯的嗎你說你不認同那你不認同就不認同但是今天調查局還有廉政署的報告已經認證了貴公司就是弊案最多遭移送對象最多的單位還是你要質疑他們兩位還是要告那兩個單位
transcript.whisperx[146].start 4889.209
transcript.whisperx[146].end 4902.803
transcript.whisperx[146].text 不是 報告委員我剛剛所說的就是說這個貪腐它不是結構性都是個案那中油公司的話案件是比較多不是結構性的是個案那這個就不是不是弊案嗎
transcript.whisperx[147].start 4904.452
transcript.whisperx[147].end 4930.393
transcript.whisperx[147].text 當然是個案啊那個案多了因為貴公司最多嘛我國的國營企業這麼多公部門這麼多但是貴公司目前是調查局的報告說得很清楚移送對象是中油最多對那這個你承認嗎這個我承認因為這是統計的結果既然有調查局的認證那我們也就不用再多爭論了所以我覺得今天我不是質疑單一個案我覺得
transcript.whisperx[148].start 4931.354
transcript.whisperx[148].end 4951.292
transcript.whisperx[148].text 我們今天看到國營事業有很多的問題我先提出幾個問題第一個 預算支出可以無限的暴漲第二個 工地安全也被漠視第三個 肥貓酬庸它是無限的肥油然後工程採購無限的黑箱所以我今天看到這四個無限
transcript.whisperx[149].start 4952.54
transcript.whisperx[149].end 4975.662
transcript.whisperx[149].text 一個是支出無限暴漲 公立安全無限的漠視肥貓酬庸可以無限的肥油工程採購可以無限的黑箱我今天看到狀況是這樣也不用跟我們說沒有因為這幾年確實國營事業讓大家質疑很多點包括今天我又看到一個新的現在不是三接有問題一二接現在也有事情要爆出來
transcript.whisperx[150].start 4976.323
transcript.whisperx[150].end 5005.512
transcript.whisperx[150].text 那如果照這樣講原來綠能政策然後它所引起的必須要大量的燒天然氣後面原來有這些弊案一階 二階 三階如果都有弊案的話那到底我國的能源轉型是轉辛酸的嗎是轉到最後光電 綠電 風電一堆弊案現在連因為要搞綠電所引起的天然氣接收站也弊案連連那我就很懷疑說我們的政府他到底帶給我們人民是什麼
transcript.whisperx[151].start 5006.328
transcript.whisperx[151].end 5019.322
transcript.whisperx[151].text 他當初告訴我說為了要搞綠能要留下最好的台灣給下一代結果現在看到是弊案連連山野光電板 海野光電板水庫野光電板 到處光電板然後
transcript.whisperx[152].start 5020.373
transcript.whisperx[152].end 5043.781
transcript.whisperx[152].text 然後不知道在做什麼然後一堆弊案在裡面這怎麼對得起長期支持政府的這些選民所以我剛剛所說的我們今天看到很曾經穩定國家民生而且會賺錢的這些公司現在併入高峰的四大通病就我剛剛講的第一個預算的失控人民的納稅錢被當提款機
transcript.whisperx[153].start 5045.051
transcript.whisperx[153].end 5066.434
transcript.whisperx[153].text 搞了一大堆追加預算一些有的沒有的搞出來第二個公安的漠視然後最近也有幾個案子有一些人命待會我會講第三個從酬庸就是一直塞人進去包括吳英寧等等的這些案子然後再來還有一個圖利舞弊從工程到招考有一大堆的問題包括之前的一些
transcript.whisperx[154].start 5067.435
transcript.whisperx[154].end 5086.245
transcript.whisperx[154].text 招考的時候的電子舞弊的弊案所以我就不懂說國營事業怎麼會淪落到今天高層搞酬庸 低層搞電子舞弊來招生這不知道在搞什麼好 那我請問一下經濟部門中油預算的失控我想請問兩位中油的中油的這個
transcript.whisperx[155].start 5091.254
transcript.whisperx[155].end 5098.222
transcript.whisperx[155].text 三階的工程款它是來自於與政府的增值那我請問一下這是不是政府這是人民的納稅錢或人民的資產請問是不是
transcript.whisperx[156].start 5100.057
transcript.whisperx[156].end 5128.301
transcript.whisperx[156].text 當然從廣泛來講最終工程完工以後當然就是公司的資產同時也是國家的資產他就是全民的資產沒錯嘛 對不對那我跟你講我看到了就是2022年中油前執行長那個叫什麼 徐翰他被查出收費1687萬其實這還蠻離譜被封為最貪的公務員當時還起訴了蠻多人請問一下貴公司有沒有做什麼樣的改善
transcript.whisperx[157].start 5130.164
transcript.whisperx[157].end 5149.177
transcript.whisperx[157].text 有 在當時對我去做了一個檢討我們要求所有的主管同仁都應該以此為戒那個不叫做改善我跟你講當時你們還發了一個新聞稿說法律是道德最低標準然後國營企業的什麼操守形象都不容打折
transcript.whisperx[158].start 5150.017
transcript.whisperx[158].end 5166.151
transcript.whisperx[158].text 要求大家用更高調的標準來處理這個承辦的業務但是這沒有用啊搞到最後還是口號至上啊變成是口號的巨人但是實際上的侏儒啊我看到的狀況是這樣嘛那公安的問題終於你們公安的問題也是我剛剛提到了
transcript.whisperx[159].start 5167.572
transcript.whisperx[159].end 5195.76
transcript.whisperx[159].text 2019年12月台北港的城鄉吊掛三死四傷然後呢今年7月那個桃園三街還有一個作業員溺斃啦其實這個都是嚴重的公安事情嘛那我覺得用人的問題非專業卡在重要的位置以及這些高層的貪腐其實跟公安絕對有一敵兩面的事情啦不是沒有關係所以我希望你們兩個月內交一個公安缺失還有改善的報告給市長法治委員會好不好
transcript.whisperx[160].start 5196.441
transcript.whisperx[160].end 5201.457
transcript.whisperx[160].text 還要附上一些相關的資料這個請你務必做到那我想請問一下經濟部經濟部
transcript.whisperx[161].start 5204.887
transcript.whisperx[161].end 5227.289
transcript.whisperx[161].text 我想除了中油之外台肥也是很多弊案包括前董事長康信宏任內的南港C2開發案讓公司損失幾億然後還有康信宏跟總經理黃耀新他們的福報差旅費還有台肥到大陸地區投資失敗的這些例子我想台肥也是一堆問題
transcript.whisperx[162].start 5228.951
transcript.whisperx[162].end 5241.105
transcript.whisperx[162].text 台研也是啊綠能的成取益的問題對不對然後還有之前吳英寧的人事案的議題所以我覺得奇怪大家把國民世界當做自己的金庫嗎怎麼會搞成今天這樣那
transcript.whisperx[163].start 5244.754
transcript.whisperx[163].end 5266.708
transcript.whisperx[163].text 國營事業現在變酬庸的一個位置然後內控都失能也都掏空才會有這麼多弊案所以我想麻煩你們一個月內能夠提一個國營事業的董事 總經理人事還有問責績效制度的改善方式不要每一次事件爆發都換個人而已好不好我們麻煩法務部長還有調查局局長
transcript.whisperx[164].start 5271.854
transcript.whisperx[164].end 5291.312
transcript.whisperx[164].text 來 部長 我想請問一下之前國營事業 中油 中鋼 台電電子招考舞弊的問題你們後來有集合去查辦嗎這邊有查辦 這個是廉政署藍調組有來查辦那也麻煩廉政署這部分你們有沒有查辦
transcript.whisperx[165].start 5298.323
transcript.whisperx[165].end 5306.278
transcript.whisperx[165].text 報告委員 這個部分都已經語重其數好 我跟你們講因為我剛剛所說的我們現在國民世界變什麼高層搞酬庸
transcript.whisperx[166].start 5307.352
transcript.whisperx[166].end 5335.74
transcript.whisperx[166].text 對不對 綠油油跟選戰出力者高層搞酬庸 低層電子舞弊那難怪經濟上面也出問題公安也出問題嘛績效也出問題 弊案一大堆這都可以理解你從高層到低層都出了問題所以這個要麻煩你們能夠仔細的把它查清楚好不好那如果目前還有一些相關的相關的這種團體還在搞的話也要請你們積極的去做部長這部分有沒有辦法督促一下
transcript.whisperx[167].start 5337.232
transcript.whisperx[167].end 5357.518
transcript.whisperx[167].text 這部分這是一個預防的作為因為已經有電子有一些的舞弊那些也都依法偵辦的偵辦的好像應該是有兩波後來這部分有督請國營事業這部分在招考新員工的時候必須要落實絕對要有防弊的一個作為
transcript.whisperx[168].start 5358.058
transcript.whisperx[168].end 5375.034
transcript.whisperx[168].text 那這邊我如果說委員有需要的話我們請您證書來提供你們還是要資料給我因為我跟部長報告一下就我跟部長已經往來好幾次了那我只希望一個點我們發現問題麻煩你們要提出解決之道而且那解決之道要實際能做的而不是說
transcript.whisperx[169].start 5375.635
transcript.whisperx[169].end 5396.817
transcript.whisperx[169].text 只是虛隱故事我們不會看不懂你是不是虛隱故事我跟你講而且不要說我每次跟你討論制度你就說這個是個案問題然後我跟你問個案然後你又說偵查不公開不然就說這個個案不予評論搞到最後都不用講了問制度也不用講問個案也不用講所以不能這樣子麻煩你們對於電子舞弊這個事情
transcript.whisperx[170].start 5397.458
transcript.whisperx[170].end 5419.559
transcript.whisperx[170].text 能夠把你們後續的有沒有一些宣導或偵查的作為改善能夠怎麼加強偵查這塊能夠給我們一份報告好不好最後我想我自己個人我總共辦了11年的數貪我覺得我還是要提一個其實國營事業或政府機關會出事大概就是不拖國營機關採購會出事就那三樣
transcript.whisperx[171].start 5422.482
transcript.whisperx[171].end 5433.373
transcript.whisperx[171].text 投標前設建在畫把投標中 執行中灌水之後沒有人負責大概就是主要這三個
transcript.whisperx[172].start 5435.095
transcript.whisperx[172].end 5461.57
transcript.whisperx[172].text 價格常常都是先設建再化因為很多國營世界的採購不是靠市場競爭是靠關係所以先有想花的錢再用規格跟房價去把金額護航起來我想各位辦過數攤的現場的有連政署有之前的警察官有部長你們都知道我在講什麼那第二個招標看起來乾淨但是後面在灌水對不對你後面在變更設計追加預算展演供期驗收鬆綁然後呢
transcript.whisperx[173].start 5462.31
transcript.whisperx[173].end 5476.642
transcript.whisperx[173].text 如果說前面搞不定後面就去壓那些分包的那些廠商壓那些安全的維護所以到最後出事情發生公安的都是工人但是品質不佳受害的是全民所以我在這邊提出一個要求就是
transcript.whisperx[174].start 5477.663
transcript.whisperx[174].end 5501.376
transcript.whisperx[174].text 如果將來有重大門檻變更的話如果差價譬如說大於15%那是不是要啟動二次審查這個部分麻煩經濟部也能夠思考一下要不要再啟動二次審查如果價額你後面追加或灌水有時候我們還聽到三四成以上那是不是只要超過15%我們為了看守人民的荷包麻煩做二次的審查這跟政黨無關 這為國家好
transcript.whisperx[175].start 5503.377
transcript.whisperx[175].end 5528.662
transcript.whisperx[175].text 那第三個就是從我剛講的招考的舞弊到酬庸的那個這肥貓文化我想這幾個點是我覺得我自己在辦以前辦這種案子之後我心裡的感覺這幾個點一定要把它解決好所以那個也請廉政署針對這個國營事業的接避受理調查保護救濟資訊公開SOP等等的你在一個月內能夠給我一個
transcript.whisperx[176].start 5529.822
transcript.whisperx[176].end 5554.878
transcript.whisperx[176].text 國營事業接避保護執行方案的書面然後而且要發佈一個就是公營事業跟這些它的一個通用範本讓大家有跡可循否則我跟你講這些國營事業這些寄生蟲將來就是跟蟑螂一樣一直冒出來而且永遠打不完但是我覺得我們國人要用多少條命多少億元下去補這個洞我覺得這都不應該好不好
transcript.whisperx[177].start 5555.618
transcript.whisperx[177].end 5567.043
transcript.whisperx[177].text 那再麻煩各位要能夠積極的處理這件事情好 謝謝各位好 謝謝吳委員那接下來我們請陳培余委員詢答好 謝謝主席那有請中遊董事長
transcript.whisperx[178].start 5586.854
transcript.whisperx[178].end 5616.003
transcript.whisperx[178].text 好 請好好 董事長早我想我們花一些時間來釐清相關媒體的訊息也來釐清一下剛剛兩位委員三位委員的槌尋我認為有弊案該查就查該說就說那中郵該對全民交代就對全民交代但是我認為有一些基本的訊息我們一起來釐清那我手上呢左手邊這個投影片是馬政府時代所規劃的這個方案我想你應該非常清楚 對嗎你在中郵待非常久了
transcript.whisperx[179].start 5616.463
transcript.whisperx[179].end 5636.893
transcript.whisperx[179].text 之前也擔任過天然氣事業執行部的執行長對嗎是的好所以左手邊這個是馬總統時代所規劃的232公頃的大潭藻礁後來因為環團的抗議有人民的聲音所以到了蔡政府時代就一個是外推對嗎是的好 外推多長
transcript.whisperx[180].start 5640.194
transcript.whisperx[180].end 5663.299
transcript.whisperx[180].text 455公尺也就是原來在沿岸外推455公尺第一個再來原本是232公頃可是因為當時有藻礁的議題所以我們把面積縮小了從232縮減到23公頃對嗎是的好那我我認為如果我們看這一次媒體相關爆料出來這個案子困境應該是因為外推所衍生出來的相關成本增加對嗎
transcript.whisperx[181].start 5664.259
transcript.whisperx[181].end 5692.301
transcript.whisperx[181].text 對 沒有錯好 那我們辦公室的整理是這樣您看一下原本的方案是只有五個方案要做包含棧橋工程 企劃工程儲槽 路管跟配器站可是因為做了外推這件事情我剛剛說是為了配合環團跟人民對於藻礁保育的疑慮所以蔡政府時代做了外推的規劃也因為這個外推現在這個案子是因為觀塘接收站外推方案之外擴防波堤新建工程這253億 對嗎
transcript.whisperx[182].start 5694.002
transcript.whisperx[182].end 5713.644
transcript.whisperx[182].text 是的好目前的資訊是這樣我們先幫國人釐清到底這253億的錢到底是放在哪邊是使用好原本你們的規劃是這樣如果我說的都是對的話我們來看一下如果按照公共工程招標的相關規定我們必須要做招標文件公開閱覽公告對嗎就是我右手邊這一張
transcript.whisperx[183].start 5714.685
transcript.whisperx[183].end 5725.862
transcript.whisperx[183].text 我們現在看到的數字呢當時你們在111年的1月12上網公告這個外推就是我剛剛說外推400多公尺這個方案你們當時的預算金額是238.4億
transcript.whisperx[184].start 5729.008
transcript.whisperx[184].end 5757.188
transcript.whisperx[184].text 公開閱覽的時候是公開閱覽的時候是這樣說我可以問一下但是我左手邊我們來看一下我左手邊相關的媒體新聞說的說了非常多數字94億啦122、150、220、256到253但是你們的說法是說公開閱覽的時候寫的是238.4後來到底是發生了什麼事情為了到了4月29號招標第一次公告變253關於這個部分可不可以請董事長說一下
transcript.whisperx[185].start 5757.768
transcript.whisperx[185].end 5778.215
transcript.whisperx[185].text 為什麼公開閱覽是238.4但是第一次招標公告的時候到了253是 謝謝委員讓我說明我們在公開閱覽的時候是238.4億對就確定了那麼公開閱覽當然就是目的就是希望民眾或者是廠商對於我們公開閱覽的這些所有資料有沒有寶貴的意見
transcript.whisperx[186].start 5779.215
transcript.whisperx[186].end 5796.95
transcript.whisperx[186].text 那麼同時呢 這個台灣世西呢他也去對於三個廠商呢 去詢價那麼把這些資訊收集了以後呢最終做一個研判那麼這三家廠商呢都有回報他們的報價資料那這個範圍大概在240到270億之間你說不同的廠商報價回來的數字所以240到270
transcript.whisperx[187].start 5804.996
transcript.whisperx[187].end 5827.255
transcript.whisperx[187].text 對 好 接下來請說對於這個公開閱覽所提供的意見譬如說在什麼數量上他們認為說你的數量上有沒有不足的地方或者是多的地方或是相關的契約條文有沒有需要做調整那麼把這些公開的這些資訊收集了以後再做一個最後的中整那麼台灣世信給我們提供的資料是253億
transcript.whisperx[188].start 5829.056
transcript.whisperx[188].end 5844.367
transcript.whisperx[188].text 好 所以我們就根據這個253我們就做了4月29號招標第一次公告 對嗎經過公司的一個內部程序好 那到了6月29號招標也是253這中間還發生了什麼樣的事情這中間沒有發生任何事情好 那為什麼有二次招標公告
transcript.whisperx[189].start 5844.867
transcript.whisperx[189].end 5864.011
transcript.whisperx[189].text 因為第一次招標的時候不足三家是所以流標好 不足三家流標所以到第二次有順利有三家嗎還是兩家但是我們7月29還是做了絕標253億是好 那這個流程看起來都是公開資料所可以查得到的但是我個人比較好奇
transcript.whisperx[190].start 5864.671
transcript.whisperx[190].end 5892.847
transcript.whisperx[190].text 為什麼在週刊裡面出現這麼多數字是94到253但是我們過往在相關採購法的規定公開閱覽公告的這個要進行正式上網公告之前我們通常會有多久的作業時間要去跟相關的專家學者討論跟相關的公司或者是收集更多的意見通常你們做出這個公開閱覽公告之前的前置時間以這個案例為例你們做了多久的討論跟收集意見
transcript.whisperx[191].start 5894.689
transcript.whisperx[191].end 5910.283
transcript.whisperx[191].text 我請黃國聰做說明好不好好 是跟委員報告那公開越南法定的時間是工作天所以前後大概十天加上內部的一個評估一個月內應該就可以把相關的招標文件訂稿以上報告
transcript.whisperx[192].start 5910.543
transcript.whisperx[192].end 5925.992
transcript.whisperx[192].text 好 一個月內相關招標文件可以定稿可是在這之前呢你們為了這個三接的這個防波體興建你們花了多少時間研究它到底相關工程的難度可能跟所需的預算跟可能需要到什麼樣的工程技術你們花了多久時間研議這個案子可以給我一個大概的數字嗎我想委員想知道就是台灣47它做內部的設計跟評估大概花了多少時間對有沒有這個資訊
transcript.whisperx[193].start 5939.921
transcript.whisperx[193].end 5967.042
transcript.whisperx[193].text 是不是 我目前沒有這個資訊好 沒關係 你們幫我們再幫我們提供但是我來看 我認為一般人我們都不是工程專業我們也不是相關專家學者就算現在我們要立刻讀了這些資料我們不見得可以立刻消化但是我認為人民會擔心一件事情也會想要問一件事情到底這個數字有沒有合理就工程的專業跟所需要的成本回到我剛剛前面那張投影片就是外退那個圖 謝謝
transcript.whisperx[194].start 5968.483
transcript.whisperx[194].end 5997.217
transcript.whisperx[194].text 來往前推再前一張外推的這個工程第一個關鍵是一不可以破壞礁體不可以浚挖原外海填區21公頃不填防波堤變短海域更開放然後預算增加然後供氣然後還要離岸這些我看起來都有相關的難度對嗎是的我可不可以請董事長分享一下國外有沒有相關的案例或是在台灣有沒有相關的案例讓人民可以想像這個成本對照起來是合理的
transcript.whisperx[195].start 5998.101
transcript.whisperx[195].end 6004.031
transcript.whisperx[195].text 我想在國外一定有類似的案例對 例如但是這個我好 那台灣呢
transcript.whisperx[196].start 6005.066
transcript.whisperx[196].end 6030.242
transcript.whisperx[196].text 那麼台灣的話就是在台灣的幾個天然氣接收站當然都是建港包括了就是我們永安所謂的一街一街然後三街那麼以及未來的四街以及五街還有現在在高雄的七街它都是屬於在岸邊的去興建一個港但是這個
transcript.whisperx[197].start 6031.616
transcript.whisperx[197].end 6048.889
transcript.whisperx[197].text 三接它比較不同的它是一個離岸的離岸的一個港剛剛提到就是說距離要經由棧橋來去連接最遠的距離到達1.2公里所以它本身三接來講在港本身的建設它的困難度是相當的高
transcript.whisperx[198].start 6049.329
transcript.whisperx[198].end 6078.105
transcript.whisperx[198].text 等一下剛剛董事長您說了一個關鍵你說高雄的七街它是在岸邊嘛對不對就是原本就比較像是馬總統規劃那個岸邊可是如果我們去查高雄洲際七街防波堤每公尺的興建成本跟三街幾乎是接近的很高其實也是要500萬到600萬之間所以如果按照您的推論三街難度更高而且外推的內容更寬然後必須要考慮生態保育的工程越多那現在這個數字看起來應該是合理的數字囉
transcript.whisperx[199].start 6079.466
transcript.whisperx[199].end 6102.202
transcript.whisperx[199].text 我認為是很合理的數字以三接跟七接來比的話三接除了它離岸比較遠以外那麼因為它的水域也比較深好 第一個水域深 還有呢第二個在它的一個施工在岸上的一個要做沉箱的區域它周邊的土地是沒辦法提供所以它必須要從台北港這邊
transcript.whisperx[200].start 6103.223
transcript.whisperx[200].end 6127.971
transcript.whisperx[200].text 很遠的地方送到三階的所在地這個航程所花的這個成本也是相當的一個高好 所以就現在為止我認為我們一般人會在意的問題就是工程難度高不高所以我們需要花了這麼多錢還有相關公告的時間在這之前我們到底聽過多少專家學者的意見也不會只有業界的意見跟相關工程的評估你們都認為是合理的那我最後就要說我認為
transcript.whisperx[201].start 6128.971
transcript.whisperx[201].end 6155.672
transcript.whisperx[201].text 如果我們認為是合理合法的我們應該就自己來把話說清楚當然我們非常支持剛剛所有委員的建議陣風減調 該查就查 該辦就辦有新的事證我們就來討論我覺得要讓國人對中油有信心對所有的國家公共工程有信心最後我也要拜託中油我想在配合調查的過程當中有相關事證或者是相關緊要跟你們要任何資料我覺得該公開就公開
transcript.whisperx[202].start 6156.252
transcript.whisperx[202].end 6183.864
transcript.whisperx[202].text 我們給國人一個交代我們自己好好把話說清楚就如同我們今天看的不管是公開閱覽的公告資料或者是相關預算甚至是最前面一張我提的我們從本來是近海岸的這個三接變成後來外推這件事情我們所必須額外衍生的成本跟相關工程的困難我認為我們都應該要一併讓國人知道當然弊案的部分我們絕對支持法務部相關後續的動作好不好
transcript.whisperx[203].start 6184.204
transcript.whisperx[203].end 6193.67
transcript.whisperx[203].text 那就拜託中友 我們就自己把事情說清楚就如同我們今天花了這些時間把這些基本的資料搞清楚也非常重要 好嗎好 謝謝委員謝謝董事長 謝謝主席 謝謝好 我們下一位請翁曉琳委員進行詢問
transcript.whisperx[204].start 6216.411
transcript.whisperx[204].end 6227.685
transcript.whisperx[204].text 好 謝謝主席那麼首先先邀請法務部正部長還有陳局長及廉政署的林副署長林副署長
transcript.whisperx[205].start 6229.854
transcript.whisperx[205].end 6251.78
transcript.whisperx[205].text 吳委員長部長好首先我想要問一個也是涉及到比較算是制度層面上面的問題這次週刊爆料有關於中油三接二期工程可能涉及舞弊的事情裡面特別有提到檢舉人他其實從三年前他就開始檢舉了
transcript.whisperx[206].start 6252.74
transcript.whisperx[206].end 6268.408
transcript.whisperx[206].text 但是三番兩次的檢舉都沒有效果最後他不得已把檢舉的事情提供給週刊然後由週刊寫出來然後才引起大家的關注所以本席想請教就是說你們對於目前
transcript.whisperx[207].start 6269.148
transcript.whisperx[207].end 6292.925
transcript.whisperx[207].text 像是人民的檢舉案 告發案等等檢調單位不僅是地檢署還有調查局 廉政署你們有沒有一套受理的SOP還是說是檢舉案進來了基本上置之不理等到上面上級長官交辦之後才開始把檢舉函找出來看你們有沒有一套SOP
transcript.whisperx[208].start 6295.492
transcript.whisperx[208].end 6319.847
transcript.whisperx[208].text 檢舉進來的話那個受理的機關他就會收文收文他們認為有涉及到犯罪事實的話就會做一個立案所以有涉及到犯罪事實才會立案基本上立案之後才開始偵辦才會有字號就是案件字號但是誰來認定說這個案子到底有沒有涉及犯罪事實要不要受理
transcript.whisperx[209].start 6321.848
transcript.whisperx[209].end 6347.684
transcript.whisperx[209].text 譬如說你提檢署你收了這個檢舉函之後他沒有一個登載記錄嗎這個一定收文一定會有收文會有所以如果說是以這次的這個週刊上面講說這個檢舉人他基本上已經至少兩次了吧都有去檢舉那你們都沒有任何的收文的記錄嗎事實上這個案件其實在調查一個年度基本我了解是在
transcript.whisperx[210].start 6348.191
transcript.whisperx[210].end 6366.983
transcript.whisperx[210].text 周刊報的以前就有立案了都有在調查了所以沒有像周恩講說我們置之不理沒有那回事所以也就是說基本上是檢調已經當時收到警局人的來函然後已經有開始算是有立案嗎立案有在調查嗎這個是我請調查局跟聯證署來談聯證署來回覆一下
transcript.whisperx[211].start 6371.579
transcript.whisperx[211].end 6392.419
transcript.whisperx[211].text 报告委员调查局先回答好不好是这个案子我们调查局只收过一次检举就是我在书面报告里面提到就在今年的8月那我们收到检举以后我们就马上就立案好所以你们调查局是8月的时候才收到这个检举第一次的检举第一次然后两三年前那时候没有收到没有好那另外林政署呢
transcript.whisperx[212].start 6394.966
transcript.whisperx[212].end 6421.745
transcript.whisperx[212].text 跟委員報告在113年我們有接到一份檢舉但是當時的檢舉的內容不是很具體那比較像是單位就是國營事業裡面可能在預算的編列上有問題所以當時是交由經濟部的政風處轉由總有的政風處來進行調查那今天經濟部看是次長還是可以回覆
transcript.whisperx[213].start 6424.915
transcript.whisperx[213].end 6441.04
transcript.whisperx[213].text 好 請次長說明一下你們有收到檢舉函嗎我們這邊有收到就是從那個我們廉政署交下來的一個查查的一個資料所以你是在去年就收到了去年那在此之前呢在此之前是沒有
transcript.whisperx[214].start 6443.201
transcript.whisperx[214].end 6462.533
transcript.whisperx[214].text 我必須說當然這個事情現在已經檢調已經在進行偵辦了那麼我希望就是說可以把這個檢舉的這個事情相關的流程要弄清楚這檢舉人基本上大概已經檢舉了不止兩次如果說14年8月可能還有去年他說三年前他就有檢舉了
transcript.whisperx[215].start 6463.453
transcript.whisperx[215].end 6490.512
transcript.whisperx[215].text 那么所以到底这些检举进了检调单位廉政署之后是不是石沉大海到底谁有权决定说有没有涉及犯罪事实有没有开始要成立立案那本席认为说这个是一件很重要的事情那么事实上法务部自己内部你们有定定检查机关办案期限及防止羁押实施要点防止羁延实施要点那在这个实施要点里面其实没有看到就是说有关于像是受理检举函
transcript.whisperx[216].start 6491.252
transcript.whisperx[216].end 6506.526
transcript.whisperx[216].text 就如果有結局涵提出來之後他的誰要是不是要受理誰來決定這個部分是不是可以請部長你們之後可以去延期重新檢討這份實施要點有沒有需要再做檢討
transcript.whisperx[217].start 6507.567
transcript.whisperx[217].end 6535.69
transcript.whisperx[217].text 那個我們再來做一個再做一個檢視那我想我們沒有再刺案了剛才委員有很關心這個問題那我想廉政署剛才有提到是在去年就有收到這個而且那個檢舉收到底是跟哪個機關哪個單位檢舉我們不清楚我們現在僅能夠就我們所屬的機關我們接獲的檢舉或者是像上次那個辦那個那個是委員會是一個會上次
transcript.whisperx[218].start 6536.37
transcript.whisperx[218].end 6562.669
transcript.whisperx[218].text 記者會那一次有把這個資料轉給台北地檢署來依法來偵辦那這部分我想我們這邊的控管都是相當的嚴謹的我希望你們的管控是嚴謹的因為事實上如果從剛剛的這個各個不同機關的說明裡面就可以知道不是說沒有受到檢舉函只是你們認為可能沒有那麼嚴重不涉及到犯罪所以根本沒啟動那在中間有沒有可能
transcript.whisperx[219].start 6563.169
transcript.whisperx[219].end 6575.607
transcript.whisperx[219].text 有人是故意把這個案子沒收起來了好不曉得不過就是沒關係這個部分我想本席這邊已經了解清楚了那麼確實是就是如同週刊上面所報告所講的新聞檢舉人的確他之前就已經有檢舉了
transcript.whisperx[220].start 6580.313
transcript.whisperx[220].end 6602.461
transcript.whisperx[220].text 那是不是寄給不同的機關都是同樣的檢舉函而有些機關有受理有些機關沒有受理那麼總之就這個案子來講的話基本上還是要盡速的去查辦那接下來我要想問的就是說事實上有關於今天在防務部的報告裡面也有寫到有關於機關採購廉政平台
transcript.whisperx[221].start 6603.541
transcript.whisperx[221].end 6617.511
transcript.whisperx[221].text 其實這個政策基本上是蠻不錯的主要是為了要確保國家重大的公共建設的品質以及廉潔所以廉政署有積極推動機關採購廉政平台的機制到目前為止根據你們自己的
transcript.whisperx[222].start 6619.011
transcript.whisperx[222].end 6644.044
transcript.whisperx[222].text 裡面的報告內容已經設立了90案的廉政平台然後其中有64個案子還在持續運作有25個案已經結案了有一個案因為政策調整暫緩但我想請問一下就是為什麼我們台灣的重大工程這麼多件但是事實上只有90案有成立機關採購廉政平台
transcript.whisperx[223].start 6645.52
transcript.whisperx[223].end 6671.356
transcript.whisperx[223].text 标准是什么这个是有一个在法务部有在2016年就有颁布的一个机关采购廉政平台的一个实施计划但是因为本来就是政府采购是采最低标那最低标会有一些的现象就是工程品质没办法做一个确保所以那就采最有利标所以在那个情况之下说又有责有法务部去去定定这个机关采购廉政平台
transcript.whisperx[224].start 6671.476
transcript.whisperx[224].end 6687.087
transcript.whisperx[224].text 是的部長我知道我剛說了我基本上認為說這樣子的一個概念這樣的一個機制是很好的但是全台我們現在每年政府有這麼多的重大公共工程公共工程的採購案為什麼只有90個案子是有成立連任平台這邊可能要請經濟部次長可能也請您回覆經濟部旗下那麼多國營事業這麼多的案子請問您知道你們現在有多少案子是有成立
transcript.whisperx[225].start 6698.715
transcript.whisperx[225].end 6716.774
transcript.whisperx[225].text 這個廉政採購平台的嗎採購廉政平台我們現在就針對綠能還有一些水利署的一些案件我們有運用這個廉政的這個採購的平台來協助那我接下來想請那個方董事就是請中油董事長還有台電的
transcript.whisperx[226].start 6720.8
transcript.whisperx[226].end 6739.81
transcript.whisperx[226].text 台電董事長請問兩位董事長你們目前你們自己公司裡面的這些採購案有成立採購廉政平台嗎我印象中有幾個案子有成立譬如說週季二期的石化除草那你們這次的中油三接的這個案子有嗎
transcript.whisperx[227].start 6740.831
transcript.whisperx[227].end 6753.639
transcript.whisperx[227].text 三接這個工程沒有對 所以你們是為什麼你們是什麼樣的標準有些要成立有些又沒有成立像這麼金額這麼龐大的案子竟然沒有成立機關採購廉政平台是對 這個基本上也是一個很明顯的一個疏失
transcript.whisperx[228].start 6762.663
transcript.whisperx[228].end 6777.224
transcript.whisperx[228].text 可能就是在当时就是几个重大的工程去选择的问题那么理论上应该是每一个重大工程案都要成立如果说他提早成立的话也许就不会发生像今天这样的错误请问像台电董事长你们有成立吗
transcript.whisperx[229].start 6780.974
transcript.whisperx[229].end 6799.969
transcript.whisperx[229].text 我們有成立我們有成立就包括現在在招標中的合一合二室內乾除的案子包括離岸二期的案子幾個重大的案子比較金額大的我們都有成立廉政平台我想請中郵跟台電這裡就是要提供給我的資料還包含那個
transcript.whisperx[230].start 6801.37
transcript.whisperx[230].end 6814.89
transcript.whisperx[230].text 經濟部就是你們目前這是有多少的重大公共工程案子然後有多少件是成立了這個產工廉政平台這相關的數量要給我我想至少100億以上的案子都算是大案子吧
transcript.whisperx[231].start 6815.931
transcript.whisperx[231].end 6838.126
transcript.whisperx[231].text 甚至可能51百億以上都是大案子但是我沒有想到竟然實際上成立的這麼少那麼以我們這次看到你們這麼嚴重的弊案竟然沒有之前就沒有成立這樣的案子讓我真是匪夷所思接下來我還要再請教中郵的董事長的一個問題就是這次我們可以看到
transcript.whisperx[232].start 6839.347
transcript.whisperx[232].end 6858.665
transcript.whisperx[232].text 主要是台湾世锡公司它基本上针对三接二期的计划提了相关的预算的评估在第一次是提的是238亿那么第二次又增加到253亿我想请教中油
transcript.whisperx[233].start 6859.386
transcript.whisperx[233].end 6873.842
transcript.whisperx[233].text 里面有没有针对世锡公司所提出的预算报告有一个在控管或是在查核的一个机制我们怎么知道世锡它这样的报价对不对你们有经过什么样的审查机制吗
transcript.whisperx[234].start 6874.403
transcript.whisperx[234].end 6891.227
transcript.whisperx[234].text 當然在公司內部會有一個複合的機制我們會去查他所提供的一些大宗物料大宗物料 譬如說塊石 鋼筋混泥土這些用量比較大的這些基礎材料會去做一個查核 查死的動作
transcript.whisperx[235].start 6891.926
transcript.whisperx[235].end 6911.722
transcript.whisperx[235].text 因為如果說是以這次的週刊上面的這些報導的話那本席也認為說其實世錫公司在當時針對這個二階外推的工程的預算評估或許也有問題是不是它裡面它也浮爆
transcript.whisperx[236].start 6912.643
transcript.whisperx[236].end 6935.634
transcript.whisperx[236].text 就是因為他一開始他服報了他就是應該說他他應該是他就是把這個估價估得高了然後你們後來又依照那個比較高的價格去公告所以才會產生後續這種服報工程費的這個問題所以對於世西這個顧問公司裡面他當時他做的每一個計畫你們的負荷是
transcript.whisperx[237].start 6939.304
transcript.whisperx[237].end 6962.75
transcript.whisperx[237].text 如实的吗就是你们有真正的去好好的去看里面的问题吗是 当然我们有好好的看这第一点当然我想接下来检调单位会针对这个案子继续去做详查那么尤其是我们看到这次连政署他所做的这个报告法务部的报告也说所有现在国营事业里面的弊案就以中游最多
transcript.whisperx[238].start 6963.61
transcript.whisperx[238].end 6984.246
transcript.whisperx[238].text 所以你們真的要深切檢討怎麼可能紀律風氣會荒唐到這樣的一個程度實在是不可思議所以董事長應該要好好的要去整頓中油內部好不好好OK那今天就談到這邊那接下來我要我剛剛所請你們要提供的報告也請你們在禮拜五之前提供給我好謝謝
transcript.whisperx[239].start 7000.322
transcript.whisperx[239].end 7009.584
transcript.whisperx[239].text 我們待會在王洪威委員質詢完後我們就稍微休息一個五分鐘好那接下來請王洪威委員詢答好謝謝主席我請一下我們中油董事長
transcript.whisperx[240].start 7030.567
transcript.whisperx[240].end 7031.974
transcript.whisperx[240].text 經濟部經濟部今天次長經濟部次長
transcript.whisperx[241].start 7037.799
transcript.whisperx[241].end 7059.741
transcript.whisperx[241].text 好 董事長 市長我們今天主要專案報告是在於我們中油的三接的工程當然因為之前是先提出來二期工程它的整個的金額一直腐爛的報價今天又有一個新的爆料就是在一期工程的部分
transcript.whisperx[242].start 7060.982
transcript.whisperx[242].end 7085.778
transcript.whisperx[242].text 也有就是跟不合就是一般來講就是先做這個價格標先讓廠商來報價我想請問一下董事長一期的部分得標的公司是什麼公司黃昌泛亞的一個共同團隊來投標他得標一期的部分對第一期第一期那第二期呢
transcript.whisperx[243].start 7086.38
transcript.whisperx[243].end 7100.062
transcript.whisperx[243].text 第二期也是皇昌范雅這個團隊的都是兩家同樣的公司那在這個皇昌的部分皇昌部分是它的得標金額是多少它一期的得標金額
transcript.whisperx[244].start 7102.905
transcript.whisperx[244].end 7128.284
transcript.whisperx[244].text 我們先講第二 外推這個部分它得標是235億253億 這應該講二期253億 對不起二期Total 253億那麼第一期得標金額為220億第一期220億嗎最佳這個我說明一下就是建港微體造地工程它的合約決標金額是222億
transcript.whisperx[245].start 7131.909
transcript.whisperx[245].end 7148.032
transcript.whisperx[245].text 那後來因為外推方案的關係所以把原來的這個工程裡面沒有重疊的部分就把它切出去了只有在原先不變的部分留在原合約裡面不是 你這樣有點複雜我現在先 我們先把它切開來看
transcript.whisperx[246].start 7149.033
transcript.whisperx[246].end 7161.105
transcript.whisperx[246].text 二期二期就是我們今天專案報告的二期的工程總價最後確定的是253億嘛253億對不對好那一期呢我講的是一期166億這樣不就不會搞混了
transcript.whisperx[247].start 7168.854
transcript.whisperx[247].end 7183.46
transcript.whisperx[247].text 一期166億但這個還是有點奇怪因為根據黃昌海市他自己的公告一期是172億有沒有修正對 一期是166但是工程驗收結束以後做最終的結算是172億追加了
transcript.whisperx[248].start 7199.469
transcript.whisperx[248].end 7213.986
transcript.whisperx[248].text 對不起 講錯了 講反了契約是172那最後的結算是166是結算166億然後到了第二期變成253億我想起我一期二期的工程有什麼不一樣
transcript.whisperx[249].start 7215.663
transcript.whisperx[249].end 7234.693
transcript.whisperx[249].text 二期的工程它的防波堤的長度比較長這第一點 第二點呢長多少呢大概接近一千米接近一千米有長到 有比較 我說比較長到一千米嗎700公尺 700公尺700公尺嘛長度多了700公尺700公尺變一千米對不起
transcript.whisperx[250].start 7237.248
transcript.whisperx[250].end 7253.307
transcript.whisperx[250].text 那個水深的部分也不一樣一期的部分水深是在-15米以內我看到的資料如果按照沉箱的部分沉箱的部分二期是144座沉箱一期是138座沉箱
transcript.whisperx[251].start 7257.472
transcript.whisperx[251].end 7280.433
transcript.whisperx[251].text 那當然這個兩期的工程時間距離有點長那有可能是受到比如成本或者物料什麼等等之類的無論如何一期跟二期的工程我其實看不出來兩個工程它的難度跟它的規模有差多少但是金額大幅的增加
transcript.whisperx[252].start 7281.394
transcript.whisperx[252].end 7307.81
transcript.whisperx[252].text 那這個部分而且在二期的部分黃昌的比例由原來的47%增加到73%所以他得標的金額將近200億186.83億那這個當然現在檢調要去調查這裡面所謂的相關的爆料那另外我想請教董事長你們已經完成你們的行政調查了嗎
transcript.whisperx[253].start 7308.957
transcript.whisperx[253].end 7318.704
transcript.whisperx[253].text 第一次的行政調查在去年年底就完成了現在就根據新市政我們已經重啟了調查
transcript.whisperx[254].start 7319.983
transcript.whisperx[254].end 7341.685
transcript.whisperx[254].text 什麼時候開始重啟上週在記者會之後我們就開始了上週開始重啟所以還在進行中進行中那你們在去年年底的行政調查的內容是跟現在的爆料的內容是一致的嗎也就是這邊有服邊然後工程款暴增的狀況
transcript.whisperx[255].start 7342.691
transcript.whisperx[255].end 7365.146
transcript.whisperx[255].text 基本上主題就是這個項目所以上次行政調查已經結案所以董事長還有部長如果這一次檢調的調查因為檢調現在在調查中如果出現如果確實裡面有所弊端的話那麼
transcript.whisperx[256].start 7366.167
transcript.whisperx[256].end 7371.831
transcript.whisperx[256].text 你們行政調查要不要負責任因為你們行政調查結案了所以才會有這個陸陸續續繼續來爆料是不是
transcript.whisperx[257].start 7375.061
transcript.whisperx[257].end 7401.244
transcript.whisperx[257].text 就是剛剛跟委員報告就是說現在有新施政出來了所以我們調查的對象當時有這個錄音嗎當時沒有當時沒有這個錄音所以你們現在就是在行政調查裡面主要針對這個錄音也就是有說什麼中油什麼都不缺啦就是而且錢最多啦就不缺錢所以這個部分你們現在是第二次第二次行政調查的重點
transcript.whisperx[258].start 7403.345
transcript.whisperx[258].end 7422.698
transcript.whisperx[258].text 預計行政調查什麼時候會完成我是希望我們政風署在一個月內把它完成這個行政調查一個月內 如果是說以11月去上個星期的話所以應該在12月初就可以完成整個的行政調查是不是在12月中好了
transcript.whisperx[259].start 7423.843
transcript.whisperx[259].end 7429.788
transcript.whisperx[259].text 我一講 你就一個月你要不要又把它拖到12月中好吧 就是12月中那麼你們就應該完成你們的行政調查給外界一個交代我要講的是為什麼我特別提到黃昌黃昌這家公司在我如果看這個政府採購網
transcript.whisperx[260].start 7445.419
transcript.whisperx[260].end 7456.043
transcript.whisperx[260].text 它在2023年2024年大概政府得標案件大概是100億到200億元之間100億到200億元之間2025大爆發超過400億
transcript.whisperx[261].start 7462.506
transcript.whisperx[261].end 7486.839
transcript.whisperx[261].text 超過400億那當然他其實這個黃昌他的這個得標跟政府得標台北市卻是捷運工程因為他之前那個有包捷運工程然後有一些國道工程也有但是這445億裡面貢獻最大的就是中油就是中油而且他過去跟中油沒有什麼往來
transcript.whisperx[262].start 7488.018
transcript.whisperx[262].end 7507.87
transcript.whisperx[262].text 它過去跟中油沒有什麼往來它大部分都是地方的交通工程為主或者都交通工程為主所以過去它的時機其實它也跟中油的工程是沒有這麼相關更不要說這些提防什麼外推工程
transcript.whisperx[263].start 7508.71
transcript.whisperx[263].end 7531.778
transcript.whisperx[263].text 但是一期給他 二期給他一期得標的比例47%到了二期的比例超過70%確實讓大家覺得說他整個在中油的工程裡面是大爆發的所以我想請教一下董事長這家黃昌你之前認識嗎在所謂一期得標以前不認識
transcript.whisperx[264].start 7537.318
transcript.whisperx[264].end 7562.18
transcript.whisperx[264].text 一起得標之前不認識不認識那得標之後就認識了當然因為有契約執行關係對於工程的執行當然就會每個月都要開會就會接觸到就會接觸所以你們個人是很信任黃昌在三接重大的工程一期 二期你們很信任他的品質
transcript.whisperx[265].start 7564.062
transcript.whisperx[265].end 7576.047
transcript.whisperx[265].text 我不能講說很信任就是有工程的合約嘛那麼雙方依照合約上面所規定的權利義務來去共同執行讓這個工程做得更好 更完善
transcript.whisperx[266].start 7577.042
transcript.whisperx[266].end 7598.135
transcript.whisperx[266].text 因為我要特別提到就是說因為黃昌過去他沒有跟你們中有相關的往來也沒有這些相關的時機比如說你今天如果是一些交通工程交給他我覺得我更認為是比較合理因為他過去他做了很多的不管捷運或者是國道的一些交通的工程
transcript.whisperx[267].start 7598.835
transcript.whisperx[267].end 7627.819
transcript.whisperx[267].text 那這個工程金額這麼龐大然後現在又出現了就出現了這些相關的這些質疑那黃昌這家公司以前被人家戲稱為叫什麼黃家公司為什麼黃家那他以前是主要是跟陳水扁前總統關係非常密切因為大家都知道陳水扁總統他入獄的時候正好黃昌的老闆是跟他住同一個牢房
transcript.whisperx[268].start 7628.481
transcript.whisperx[268].end 7629.294
transcript.whisperx[268].text 住同一個牢房
transcript.whisperx[269].start 7629.764
transcript.whisperx[269].end 7658.178
transcript.whisperx[269].text 所以過去黃昌他叫黃昌但是很多人都叫他黃家黃家營造但是在陳水扁總統他卸任之後其實他跟企業界跟政府就沒有那麼很明確的往來但是現在又突然起了這樣子的一個我們中油的爭議中油累積坤水現在是多少
transcript.whisperx[270].start 7659.558
transcript.whisperx[270].end 7678.153
transcript.whisperx[270].text 累計虧損接近800億累計虧損才800億嗎目前財務報表累計虧損大概800億但是因為我們之前有一些保留所以把以前累計的虧損就把它打掉了目前帳面上大概是累計虧損800億也有800億到現在為止
transcript.whisperx[271].start 7681.596
transcript.whisperx[271].end 7710.254
transcript.whisperx[271].text 所以就说我们今天过去终于讲到中游的弊案其实真的非常多来我们看一下2022年2022年那个时候其实它本来是一案就像牵粽子一样它办一个案子又一签再签就签了好几个当时2022年中游曾经陷入多起的弊案之中
transcript.whisperx[272].start 7711.394
transcript.whisperx[272].end 7737.606
transcript.whisperx[272].text 而且後來真的都有被起訴有被起訴有收回當時的中油董事長李順清他有講到因為那時候一而再再而三的發生這些相關的貪瀆弊案他說他很痛心這些貪污弊案讓他痛心要貪污賺大錢不要來中油
transcript.whisperx[273].start 7738.186
transcript.whisperx[273].end 7746.033
transcript.whisperx[273].text 我覺得這一句話要再次的送給我們現在的中油我覺得同樣董事長也要有這樣的魄力跟這樣的認知如果你想要賺錢不要來中油因為中油是一個獨家的國營事業那確實它每一起標案都非常龐大
transcript.whisperx[274].start 7759.924
transcript.whisperx[274].end 7781.017
transcript.whisperx[274].text 那這些弊案其實如果我不曉得檢調要花多少時間才能夠給我們一個答案那您剛剛講說你的行政調查在12月中可以提出來那我也會希望董事長能夠本於真的要查好弊案如果真的有貪瀆就把它查出來不要互短可不可以
transcript.whisperx[275].start 7785.499
transcript.whisperx[275].end 7814.439
transcript.whisperx[275].text 可以一定是這樣做對 不要護短因為如果真的有這個事情的話一定要把他抓出來因為如果說這樣的弊案的陰影揮之不去然後其實馬上因為尤其這些都有一些牽涉到有沒有政商關係他不是單純的單純的貪圖弊案他還牽涉到有沒有其他政治的這個關係的話其實對中友絕對是傷害好不好是好 謝謝
transcript.whisperx[276].start 7817.305
transcript.whisperx[276].end 7819.41
transcript.whisperx[276].text 好 謝謝 那我們現在先休息五分鐘
transcript.whisperx[277].start 8233.697
transcript.whisperx[277].end 8237.282
transcript.whisperx[277].text 好謝謝我們現在繼續開會那接下來請王逸川委員詢答先請審發會委員審發會委員審發會委員不在他改成書面詢答好那接下來請王逸川委員
transcript.whisperx[278].start 8267.072
transcript.whisperx[278].end 8279.182
transcript.whisperx[278].text 謝謝主席我們現在請工程會請工程會副主委還有中油公司中油董事長還有經濟部 謝謝經濟部次長好 謝謝為什麼不請法務部長跟調查局長因為個案裡面也不能講上來也是浪費時間好不好 好
transcript.whisperx[279].start 8294.964
transcript.whisperx[279].end 8319.479
transcript.whisperx[279].text 我看經濟部針對今天的報告你們報告裡頭說中油採購案在你們看來都符合程序對不對目前你的了解是這樣就是說中油給你的報告你看完你覺得是符合程序的就這麼簡單沒有任何你們覺得很怪的事情
transcript.whisperx[280].start 8319.995
transcript.whisperx[280].end 8331.703
transcript.whisperx[280].text 我們就從行政程序上面我們去了解一下這個案子有沒有跟採購法的程序有沒有相違接下來我們請工程會站在工程會的角度這個案子不管這個
transcript.whisperx[281].start 8342.746
transcript.whisperx[281].end 8361.445
transcript.whisperx[281].text 幾期的工程啊這個媒體多所報導那裡面也寫說站在什麼專家的角度看起來好像也不太對什麼先叫廠商報價然後再公告再進行這一個評選
transcript.whisperx[282].start 8365.202
transcript.whisperx[282].end 8393.519
transcript.whisperx[282].text 我們一個工程在進行的時候要多少錢才能做完的這件事情在工程界裡頭不管設計的公司設計建造或PCM在事前把可能潛在的廠商進行相關的巡駕這是合理的嗎這是一般正常的作業方法好 那巡駕完的這一些廠商被巡駕的廠商可不可以來投標
transcript.whisperx[283].start 8394.797
transcript.whisperx[283].end 8423.609
transcript.whisperx[283].text 如果他這個相關的招標的資訊已經公開的沒有迴避的問題好那現在站在工程會的角度這個案子你們看起來有沒有怪怪的因為如果照媒體的報導好像問題比較出在是巡駕跟顧問公司提出預算的那媒體不管是他自己想像的或者是有人講的或者是怎麼樣怎麼樣
transcript.whisperx[284].start 8425.051
transcript.whisperx[284].end 8450.619
transcript.whisperx[284].text 如果你們看完這些報導那你覺得在工程上這有沒有怪怪的目前我們就程序上來看我們看不出來有什麼特別的問題所以我們會去進行工程的集合集合形式上看起來我們有先去瞭解就形式上看起來不曉得問題是出在哪裡是沒有發現有異常
transcript.whisperx[285].start 8452.475
transcript.whisperx[285].end 8455.163
transcript.whisperx[285].text 這案子裡面有啟動相關的了解多久了
transcript.whisperx[286].start 8456.056
transcript.whisperx[286].end 8483.12
transcript.whisperx[286].text 因為媒體報導當時的那個檢舉並沒有到工程會來說我們是這一次媒體報導以後那麼我們才啟動內部的一個先了解那因為我們的了解只是從相關的政府公告裡面去得知啦那我們要進一步去看個案的文件的話必須啟動集合的這個制度那啟動集合的制度才有辦法去看個案現在還沒啟動
transcript.whisperx[287].start 8484.391
transcript.whisperx[287].end 8512.519
transcript.whisperx[287].text 現在準備要啟動但是先從政府採購的相關的在你們手上的文件因為那都公開資訊就去研判他到底有沒有跟一般的採購案不太一樣至於這一個個案就是要啟動相關的集合才能夠查清楚嗎現在的這個程序到這裡好 接下來請忠友
transcript.whisperx[288].start 8514.492
transcript.whisperx[288].end 8538.773
transcript.whisperx[288].text 委員長這個案子從比較少的經費到比較多的經費你都參與嗎我不瞭解委員的意思 從比較少的經費是值的就是說他後來推出去嘛本來經費比較少 然後往外推嘛這個過程你也在中游嗎這個過程你都有參與嗎有參與那台灣世襲在這個案子的角色是什麼
transcript.whisperx[289].start 8539.738
transcript.whisperx[289].end 8556.899
transcript.whisperx[289].text 他是我們委託的專業顧問公司做什麼 他從事細部設計港的這個細部設計還有預算的籌編以及招標文件的撰寫那監照也是他們 監照也委託他監照也是他們 那專管理是誰
transcript.whisperx[290].start 8558.055
transcript.whisperx[290].end 8585.467
transcript.whisperx[290].text 專案管理也是委託他委託台灣世西設計 建造 專案管理都是台灣世西台灣世西在這個案子裡頭歷年歷次提出來的金額相關的討論你也都參與嗎這個部分沒有比較重大的才會有參與我是說從現在到幾百億最新的這個數字你有參與嗎沒有 我收到的話就是他們提報的一個238億
transcript.whisperx[291].start 8587.284
transcript.whisperx[291].end 8607.239
transcript.whisperx[291].text 我知道 我是說這個數字你有看到嗎238要公告之前 就公告招標之前嘛這個我知道好 那你們 你說這個世襲送來的這些資訊啊你們內部會進行相關的你們的名詞 就是進行相關的這個查對啦諸如此類的事情你們用什麼專業去評估世襲送來的是對的
transcript.whisperx[292].start 8608.892
transcript.whisperx[292].end 8621.319
transcript.whisperx[292].text 我們當然就是做複合對 複合你們怎麼複合那我們就是對於比較大宗的這個材料的部分那我們自己公司也有以往你們是處理材料的單價嗎單價數量
transcript.whisperx[293].start 8623.872
transcript.whisperx[293].end 8642.9
transcript.whisperx[293].text 數量是屬於台灣四溪他要去好所以在你們這個階段就台灣四溪送進來有單價有數量有各式各樣的工法包括直接工程間接工程假設工程全部都有嘛對不對那在你們這一端處理的就是個別比較大宗的材料的單價是的其他呢
transcript.whisperx[294].start 8645.58
transcript.whisperx[294].end 8668.588
transcript.whisperx[294].text 其他的沒有 就是就單價的部分其他的 你們也沒這個專業可以處理這個你們如果有專業就不用找世襲 對不對所以說在國內的工程界是這樣嘛因為你要做 你不是10名都會走嘛所以你們就拿了一筆錢請各個工程顧問公司那全台灣也不是只有世襲嘛世襲要來做這個案子也是 你們也是招標的嗎對 也是經過招標好 所以送進來之後對中友來說你們就只處理到那一個
transcript.whisperx[295].start 8674.611
transcript.whisperx[295].end 8688.397
transcript.whisperx[295].text 材料的單價至於相關假設是工法的改變你們會有意見嗎工法的改變不是不可以改只是在於說必須要告訴我們告訴我們為什麼要改變工法那你們會有意見嗎當然會經過討論會議去討論我說你們怎麼討論
transcript.whisperx[296].start 8696.383
transcript.whisperx[296].end 8714.549
transcript.whisperx[296].text 當然先經過會議去討論你們內部也會有專家去檢核譬如說海事工程專家土木工程專家相關的這些專家去檢核世襲交來的東西嗎是啊 是啊我們公司自己也有工程人員OK 所以就是說世襲送來的你們也會做檢核
transcript.whisperx[297].start 8715.697
transcript.whisperx[297].end 8733.112
transcript.whisperx[297].text 最後請問董事長 這案子這樣子下來啊照你的了解啦 照你的了解這個案子啊 中油的內部啊不要管行政程序有沒有瑕疵那裡面內部的事你判斷喔 這個案子這樣下來中油公司有沒有人會被移送法辦
transcript.whisperx[298].start 8734.229
transcript.whisperx[298].end 8755.69
transcript.whisperx[298].text 我目前來講我不會我對我的同仁非常有信心我不認為我們公司的人有涉入在這整個過程中就你的了解啦我有對同仁有信心OK就是說對你現在你當董事長或之前總經理你掌握的這一個資訊你認為中油公司的同仁在這個案子裡頭啊
transcript.whisperx[299].start 8756.751
transcript.whisperx[299].end 8774.064
transcript.whisperx[299].text 還不到這一個可能會被相關處罰的問題是就你有信心我有信心那行政程序上呢是有沒有瑕疵行政程序上也沒有瑕疵目前看起來所有檢視資料的腳都按照程序在走就這一個採購的案子
transcript.whisperx[300].start 8774.878
transcript.whisperx[300].end 8795.201
transcript.whisperx[300].text 在中有歷次相關的採購裡頭這個採購的案子你看起來也沒有相關的瑕疵沒有也沒有相關的瑕疵是那這個媒體報導成這樣今天委員質詢成這樣最後你有沒有什麼要跟各位講說這個案子啊你們的最後的這一個態度是什麼
transcript.whisperx[301].start 8796.104
transcript.whisperx[301].end 8825.323
transcript.whisperx[301].text 我態度就是說現在既然有新市政嘛我們重啟行政調查來表達我們中國公司的一個決心當然在這個過程中檢調單位也會再調查我們可以互相搭配如果說最後是有這個事實或者是沒有這個事實那當然所採取的後續的動作就會不一樣好 因為你當董事長負全責嘛這個案子所有相關的文件我相信你想要看你也都看得到
transcript.whisperx[302].start 8826.426
transcript.whisperx[302].end 8849.612
transcript.whisperx[302].text 接下來包括法務部 調局或廉政署接下來或相關的檢察官在查這個案子的時候也一定會跟你們要是對吧那在跟你們要之前我判斷你也應該都會看過或者是你的幕僚人員也都會先看過這些案子的真實的這些資訊是所以到目前為止你還是很有信心是的
transcript.whisperx[303].start 8850.253
transcript.whisperx[303].end 8860.837
transcript.whisperx[303].text 好 那就繼續加油那相關這一個檢察官要的資料不要做任何的隱瞞那就交給這個司法去進行相關的調查好 謝謝好 謝謝文委員那接下來請吳思瑤委員詢答
transcript.whisperx[304].start 8876.271
transcript.whisperx[304].end 8888.86
transcript.whisperx[304].text 謝謝主席 請調查局陳局長經濟部何正次工程會陳副主委好 廉政署林副署長好 請幾位中郵方董事長
transcript.whisperx[305].start 8897.199
transcript.whisperx[305].end 8909.795
transcript.whisperx[305].text 好 大家辛苦了這一週胸油會成為立法院非常Hard Issue大家做足準備該辯護就辯護 該澄清就澄清當然有不法就要徹查 下一頁
transcript.whisperx[306].start 8911.556
transcript.whisperx[306].end 8929.296
transcript.whisperx[306].text 中油三接的爭議在我目前看來爆料的內容真相還未明他需要去徹查不管是司法調查或是行政調查但是對於一個國家重要的能源重大建設卻因為這些政治的操作卻
transcript.whisperx[307].start 8931.017
transcript.whisperx[307].end 8957.523
transcript.whisperx[307].text 為盟其利 先受其害了中油是國家重要的能源建設但是如果這件事情我們沒有處理好說明不夠完整然後淪為這種爆料或是報復的行為被貼上了負面的標籤我覺得對於國家重要的能源建設真的都是賠了夫人又折兵
transcript.whisperx[308].start 8958.522
transcript.whisperx[308].end 8972.144
transcript.whisperx[308].text 所以說 在 好 調查局長在這在您看來 目前為止的資訊中游的三接的這個海事的工程是弊案嗎包委員 現在目前在調查中
transcript.whisperx[309].start 8973.231
transcript.whisperx[309].end 8998.488
transcript.whisperx[309].text 所以 爭委未定嘛 是不是弊案 不知道所以我們不要貼上了負面的標籤我再一次說 經濟部次長中油的三接案還曾經歷經過環保跟能源之間的拔河 歷經了公投最後這個重要的建設我們還是上路了在風雨當中 在爭議當中我們要讓爭議化解到最小
transcript.whisperx[310].start 8999.611
transcript.whisperx[310].end 9022.464
transcript.whisperx[310].text 那它對於國家重要的能源發展有哪些正向的意義因為北部的供電其實對這個三接工程事實上是非常非常重要的那當然我們也不希望說因為這個事件影響到整個三接的這個工程的進行所以我們既然有新的事證我們經濟部也重啟了調查
transcript.whisperx[311].start 9023.044
transcript.whisperx[311].end 9041.137
transcript.whisperx[311].text 那當然檢調這邊也積極在偵辦那我想到最後一定會有一個水漏石出我希望在真相水漏石出之前我還是希望社會看待中油的三接案不要就被冠上了一個被汙名化所謂弊案的標籤
transcript.whisperx[312].start 9042.578
transcript.whisperx[312].end 9067.061
transcript.whisperx[312].text 三接岸對於國家的能源轉型對於我們要跟上世界接軌推動淨零排碳乃至於北台灣的供電的穩定因為不能夠再失衡了對不對 當初三接我們就是好不容易在我們的核能也好燃煤要退場我們當然在北部的燃氣它要有充足的氣源嘛
transcript.whisperx[313].start 9068.422
transcript.whisperx[313].end 9096.084
transcript.whisperx[313].text 所以這個天然氣的接收站站在國家重大的能源建設的角度上它攸關能源轉型攸關淨零排碳國際的競爭力更是穩定北台灣的擁電我還是希望經濟部也好中油也好在真相未明之前我們要強化定調這個論述我不樂見國家任何的重大建設先被貼上了汙名化的標籤切莫以
transcript.whisperx[314].start 9096.784
transcript.whisperx[314].end 9120.494
transcript.whisperx[314].text 弊案來看待到目前為止這對國家重大建設並不公平下一頁我請陳局長我看到你們的報告裡頭有說調查局受理的貪瀆檢舉從2021到2025是1月有關國營事業就包括中油台電台水這些的整體的數字我整理在這裡
transcript.whisperx[315].start 9123.016
transcript.whisperx[315].end 9141.391
transcript.whisperx[315].text 總體的受理的案件415案移送案件118案所以移送的比例是28%而移送案件當中的確實經司法審判目前起訴的案件因為我不能弄判決的案件因為很多還在審判中起訴的案件是61案換言之
transcript.whisperx[316].start 9143.553
transcript.whisperx[316].end 9163.687
transcript.whisperx[316].text 不起訴的比例是86%起訴的案件是14%這告訴我們什麼有很多是到最後調查是查無那個不法的事證是 所以說這個數字會說話有14%的起訴任何一個案子都不能縱容
transcript.whisperx[317].start 9164.548
transcript.whisperx[317].end 9185.701
transcript.whisperx[317].text 不管一億的案件一百億的案件任何的弊案就是不能縱容即便它只是一案我們還是要踏伐還是要依法就辦但是以你們調查局受理的所有的移送比例受理案件到移送包括這當中有一個gap是因為可能他監察就是檢舉不實或者是證據不足或者是烏龍爆料
transcript.whisperx[318].start 9188.923
transcript.whisperx[318].end 9203.937
transcript.whisperx[318].text 然後真正的進入了起訴司法審判裡頭被起訴是14%不起訴是86%換言之檢舉的不實是極有可能發生甚至是多數就你們這個資料是這樣嗎
transcript.whisperx[319].start 9204.817
transcript.whisperx[319].end 9225.822
transcript.whisperx[319].text 这是有可能的但是我们调查局的立场就是说对于任何一件检举的案件我们不设前提对我们一定进最大的进调查之能就是司法案件所谓案子有没有弊核心就在证据而不是政治或是其他力量的干扰不会有任何政治的考量我们请这个廉政署的副署长
transcript.whisperx[320].start 9227.475
transcript.whisperx[320].end 9252.951
transcript.whisperx[320].text 服務長你好我也整理了你們的資料廉政署你們負責這個行政調查方面的這些數字確定判決你們從一樣2009到2025年受理的貪瀆廉政調查的案件呢移送的起訴的還起訴的到最終確定判決是358件很高我還是覺得很高雖然他比例是6.8%
transcript.whisperx[321].start 9255.855
transcript.whisperx[321].end 9277.538
transcript.whisperx[321].text 確定判決的不法案件6.8%在你們移送司法調查之後那多數啦還是可能像剛剛調查局的數字差不多如果證據不實或者是檢舉是惡意的當然我們要還當事人清白那您簡單跟我講一下你們這個數字你們的解讀是什麼
transcript.whisperx[322].start 9279.578
transcript.whisperx[322].end 9300.996
transcript.whisperx[322].text 報告委員在本署的偵辦案件裡面如果是明顯事證不足然後就會落在簽結的這個領域您大聲一點如果是在本署調查的過程明顯的事證不足那在廉政署那邊就會做簽結是那移送之後如果是檢察官認定沒有到起訴門檻就會落入不起訴
transcript.whisperx[323].start 9301.707
transcript.whisperx[323].end 9321.797
transcript.whisperx[323].text 所以我们自行牵结的是四成但是多数我们也是认为有疑虑我们就移送对不对那移送司法去调查之后呢确定判决是6.8%所以要提醒我们在看待所有的贪毒检举案我们还是让真相查清楚再下定论好下一页
transcript.whisperx[324].start 9324.518
transcript.whisperx[324].end 9342.107
transcript.whisperx[324].text 非常遺憾這個在野黨的委員用記者會的方式他們認為接受了吹哨者的陳情或是爆料用開記者會的方式就讓中油的三接案被貼上了弊案的標籤我再一次說沒有查清楚之前不宜這樣汙名化國家重要的能源建設下一頁
transcript.whisperx[325].start 9350.913
transcript.whisperx[325].end 9360.732
transcript.whisperx[325].text 現在呢我看了你們全部的報告查核過三次對不對經濟部查核兩次嘛工程會查核過一次有沒有異狀
transcript.whisperx[326].start 9363.928
transcript.whisperx[326].end 9382.268
transcript.whisperx[326].text 來誰代表跟我們報告我們從這個採購法的相關的程序內容來看的話並沒有任何的依照好經濟部也是嘛工程會也是嘛剛剛經濟部工程會也是嘛副主委那我請方董事長目前三接的進度多少
transcript.whisperx[327].start 9385.182
transcript.whisperx[327].end 9403.815
transcript.whisperx[327].text 實際進度我不記得但是一個很重要的就是三接對外來講已經開始供應天然氣了從今年的6月已經方董事長我是不太同意您的回答實際的進度就寫在你的報告裡面75%而且超前了多少
transcript.whisperx[328].start 9404.884
transcript.whisperx[328].end 9421.725
transcript.whisperx[328].text 超前了16.52%所以如果不是今天這個個案被爆料該查就查他實質的剛剛經濟部查核了兩次工程會查核了一次你們實質的進度是達到75%甚至進度超前了16.52%
transcript.whisperx[329].start 9424.301
transcript.whisperx[329].end 9443.957
transcript.whisperx[329].text 這是這個建設到目前的狀況所以說好現在進行中因為被舉發了就該查不管是從拱明星部長不管是你們廉政署不管是法務部不管是中郵自己也重啟調查不管是工程會兩個月也專案
transcript.whisperx[330].start 9445.948
transcript.whisperx[330].end 9464.523
transcript.whisperx[330].text 調查嗎如果我作為一個立法委員我要監督的是如果有人檢舉有人爆料不管他是惡意的是不是屬實我該監督的是如果所有的相關單位所有的相關機關構不查不辦不作為這才是我監督的重點
transcript.whisperx[331].start 9465.842
transcript.whisperx[331].end 9474.705
transcript.whisperx[331].text 如果查了之後確實有弊案有不法那就該罰該救處的絕對不能縱容這也是我監督的重點或者是作為我們其他政策調整的參照這應當是一個負責任的國會議員該做的我說的是當一個案件如果被舉發了不查不辦不作為才是我該監督的
transcript.whisperx[332].start 9490.545
transcript.whisperx[332].end 9517.451
transcript.whisperx[332].text 調查之後確定司法調查之後或者是行政調查之後認為有弊端的話我如果你們輕罰該嚴辦的不嚴辦那我當然也要監督但是除此之外所有的內容不應當是我在這裡任何一個立法委員在這裡帶風向未審先判政治力介入個案的這是我今天要說的重點
transcript.whisperx[333].start 9518.649
transcript.whisperx[333].end 9537.258
transcript.whisperx[333].text 所以說呢 在下一頁非常遺憾 個案的政治公審又來了這一週 司法法治委員會就今天翁找偉排案 我尊重 我也在這裡履行我的問政的職責中遊三街的工程款爭議 今天要一次報告
transcript.whisperx[334].start 9538.567
transcript.whisperx[334].end 9558.921
transcript.whisperx[334].text 那這一週在經濟委員會也針對中油三接案的公傳款的爭議再排一次會甚至國民黨團也在院會提了要求甚至我不能接受的是你要邀請行政院長來做任何專案報告我們都尊重但是對一個案子是非為民
transcript.whisperx[335].start 9560.622
transcript.whisperx[335].end 9586.778
transcript.whisperx[335].text 還沒有定驗沒有經過完整的查查查辦卻以觀塘液化天然氣接收站也就是三階工程的弊案邀請行政院長來立法院備詢就以弊案來代之我認為這不是立法委員能夠做的你可以邀請行政院長來專案報告對於他的爭議疑義就像今天好 招委用爭議很好
transcript.whisperx[336].start 9588.619
transcript.whisperx[336].end 9609.66
transcript.whisperx[336].text 如果是未審先判政治的公審就以閉案來貼上了負面的標籤查查出來如果沒有閉案呢如果查查沒有不法呢我認為這個都要審慎所以我再說一次不要介入個案不要用政治來公審
transcript.whisperx[337].start 9611.141
transcript.whisperx[337].end 9637.12
transcript.whisperx[337].text 交给廉政署调查局行政的查处以及相关司法单位的司法调查他们才是有专业的调查工具的国家司法人员再一次提醒我作为一个立法委员如果今天这个案子有人检举你们站在我对面的这些官员们不查不办不作为才是我要监督的对象如果查了
transcript.whisperx[338].start 9638.081
transcript.whisperx[338].end 9666.191
transcript.whisperx[338].text 沒有不法還人家清白可是對於中油被貼上的負面標籤這真的是為盟其利 鮮受其害它是重要的國家能源轉型的建設那如果真的查了有弊案你們還輕放不罰那更是我要強力去批判你們的但那個時間點不是現在我要請所有的從政同仁我們立法院的委員們不分黨派
transcript.whisperx[339].start 9667.091
transcript.whisperx[339].end 9684.43
transcript.whisperx[339].text 曾幾何時你們最痛恨的淨檢你們不都說淨檢亂說話嗎今天拿週刊的爆料翻好像正義又轉了彎我認為我們不要兩套標準該查的在程序中我們都尊重司法的調查政治人少說話
transcript.whisperx[340].start 9685.831
transcript.whisperx[340].end 9705.757
transcript.whisperx[340].text 要說就說基於何允的監督的權限而不是對於任何個案調查中就先奏下了定論這是我今天我表達的立場但是方董事長一個案子一億有任何弊案我們一樣絕對不縱容更何況這是253億的被檢舉的案件該釐清就釐清
transcript.whisperx[341].start 9712.762
transcript.whisperx[341].end 9717.845
transcript.whisperx[341].text 我希望大家坦然面對司法的偵辦好辛苦大家謝謝好謝謝吳委員的發言我想我作為司法法治委員會的召委看到國營事業的弊案重生那麼尤其是檢調單位是不是有積極的在查辦在偵辦這個事情我作為立法委員我認為必須要
transcript.whisperx[342].start 9741.933
transcript.whisperx[342].end 9769.505
transcript.whisperx[342].text 積極的去監督那麼所有的案件的狀況那從今天各個單位裡面所提供的報告裡面的確我們可以看到一些端倪為什麼而且透過詢答也知道其實不少單位其實真的在去年就已經收到中游三接的二期的檢舉函那可是為什麼都沒有積極的來偵辦那麼所以在
transcript.whisperx[343].start 9770.615
transcript.whisperx[343].end 9796.506
transcript.whisperx[343].text 面對這麼重要的案子不同的委員會的委員都應該要負起這樣的職責來好好的了解到底我們台灣我們的公共工程出了些什麼問題那麼以及我們公堂有沒有被福報被濫用這應該是作為立法委員很重要的職責所以在這一周有不同的委員會來召開相關的會議那我認為是非常
transcript.whisperx[344].start 9797.336
transcript.whisperx[344].end 9811.869
transcript.whisperx[344].text 合理的而且是有它的必要性接下來我們就請蘇清泉委員蘇清泉委員蘇清泉委員不在接下來請林德福委員詢答
transcript.whisperx[345].start 9830.916
transcript.whisperx[345].end 9843.64
transcript.whisperx[345].text 謝謝 謝謝主席是不是請法務部正部長還有經濟部的何次長好 請部長還有次長委員好部長 您好
transcript.whisperx[346].start 9849.195
transcript.whisperx[346].end 9876.53
transcript.whisperx[346].text 我想因為媒體在報導在2024年曾有這個飆落廠商檢舉類似的內容經濟部政風單位當時已經展開調查結果並沒有發現一些不法的行為那我請問八卦次長八卦這次檢舉時間到底是王美花的當部長的時間還是郭志輝前部長的任內
transcript.whisperx[347].start 9878.231
transcript.whisperx[347].end 9896.901
transcript.whisperx[347].text 我講本案是疑點重重啦那本期是希望說檢調應該要儘速查清楚如果調查後發現媒體踢爆的全體資料有變造的情況似乎會另案來偵辦 部長你的看法呢
transcript.whisperx[348].start 9898.165
transcript.whisperx[348].end 9924.594
transcript.whisperx[348].text 謝謝委員 那目前的話就是由台北地檢局指揮調查局跟廉政署在做一個偵辦那事實上那個檢舉的檢舉的那一部分那個剛才也講過了在去年在一一三年九月的時候就廉政署就接到檢舉那有請那個政風處來做一個行政調查那另外在今年那個調查局跟廉政署在今年的八月份都有接到檢舉都有就立案了
transcript.whisperx[349].start 9925.094
transcript.whisperx[349].end 9939.65
transcript.whisperx[349].text 那現在都已經立案在偵辦了那我們就我們也希望就是勿往勿中積極來瞭解底清來做一個 如果有的話那我們就嚴辦那沒有到犯人侵犯到底他是在王美花部長那時候任內還是在郭志輝部長任內
transcript.whisperx[350].start 9943.024
transcript.whisperx[350].end 9967.724
transcript.whisperx[350].text 這個三階工程的話應該是在王部長任內 時間很長因為政府採購法第70條規定機關辦理工程採購因明定廠商執行的品質管理環境保護以及施工安全衛生之責任並對重點項目訂定檢查程序以及檢驗的標準
transcript.whisperx[351].start 9969.665
transcript.whisperx[351].end 9990.618
transcript.whisperx[351].text 那另外工程施工查核小組作業辦法第四條也規定民眾或廠商檢舉媒體報導或有資料顯示已有偽私或異常的工程標案工程施工查核小組應該要視為施工進度優先納入來查核
transcript.whisperx[352].start 9991.539
transcript.whisperx[352].end 10010.226
transcript.whisperx[352].text 那我請問也請工程會的代理人來上來工程會的委員是否會優先做這個啟動工程施工查核小組來查核中油三接的整個工程是否有主要材料設備與設計不符的這種狀況
transcript.whisperx[353].start 10013.886
transcript.whisperx[353].end 10037.154
transcript.whisperx[353].text 包委員 就工程查核的部分當然是有一個選案的一些標準但是就工程會因為去年我們並沒有工程會沒有接受到這個案子的檢舉函所以我們去工程查的時候並不是針對檢舉而是依照這個例行性的一些挑案所以由經濟部去查核兩次工程會去查核一次但是我們去查的時候並不知道有這個檢舉函
transcript.whisperx[354].start 10039.827
transcript.whisperx[354].end 10050.91
transcript.whisperx[354].text 因為根據中游說法觀塘接收站外推方案的外擴黃波體興建工程是委託台灣4C公司來規劃先期作業成像
transcript.whisperx[355].start 10056.292
transcript.whisperx[355].end 10071.338
transcript.whisperx[355].text 三家業者訪價也有進行公開閱覽程序後並考量整個營建物價的指數才進行工程的設計編列整個招標預算的金額以招標文件的製作
transcript.whisperx[356].start 10073.359
transcript.whisperx[356].end 10092.456
transcript.whisperx[356].text 當時該項工程的設計在台灣市區董事長就是前立委叫施易芳任內是民進黨的音系那如今有新的錄音黨出現透過媒體來爆料這當中有沒有民進黨派系裡面的
transcript.whisperx[357].start 10094.458
transcript.whisperx[357].end 10120.38
transcript.whisperx[357].text 惡鬥因為到上週五台灣市區目前的董事長是鄭運鵬以前的立委同仁都沒有對外來澄清駁斥相關的報導來指控令人好奇的是否有交通部行政院甚至於總統府的高層指示台灣市區不要對外發言這種狀況真的講外界有這些質疑
transcript.whisperx[358].start 10122.228
transcript.whisperx[358].end 10139.134
transcript.whisperx[358].text 這是讓人家感覺說為什麼整個台灣世襲裡面頭到尾你們規劃設計但是到真正發生問題人家在質疑的時候你沒有出來澄清這個人家就打問號啊對不對 部長你有什麼看法
transcript.whisperx[359].start 10142.067
transcript.whisperx[359].end 10170.881
transcript.whisperx[359].text 那這個案件您是在在偵辦中了那這部分我就不再講我希望積極處理啦這部分一定大概檢查會有不管到底有沒有弊端有弊端就給就要這個馬上偵辦沒有弊端的話當然也就是還他一個清白我認為這個很重要不要用拖延的方式來做處理那是大家不能接受的因為這個時間已經很長了不是今天才發生的
transcript.whisperx[360].start 10171.661
transcript.whisperx[360].end 10185.963
transcript.whisperx[360].text 對不對 那有沒有作為就是看這裡今年十月一號媒體報導美國農業部次長來台推銷美國乙醇生殖的燃料稱只有在汽油加入百分之十的乙醇混合物
transcript.whisperx[361].start 10186.944
transcript.whisperx[361].end 10201.144
transcript.whisperx[361].text 有助來降低整個溫室的氣體來排放那也可以推進雙邊貿易夥伴的關係那過去政府在中油曾經推動升值柴油的政策但民眾抱怨
transcript.whisperx[362].start 10202.105
transcript.whisperx[362].end 10230.484
transcript.whisperx[362].text 反應容易造成車輛故障等因此104年監察院也糾正整個經濟部以及所屬的人員局的有關那升值能源的政策適當那本席是希望說經濟部在推動進口美國乙醇升值燃料時不要花大錢當冤大頭要記得過去升值能源的政策失敗的原因也鼓勵民眾使用乙醇升值這個
transcript.whisperx[363].start 10232.525
transcript.whisperx[363].end 10250.599
transcript.whisperx[363].text 燃料時務必要確保不會造成民眾車輛的損害我相信這個站在大眾的立場應該要如此去做那因為時間到了我就不再後續繼續詢問那謝謝召委 謝謝好 謝謝林委員那接下來請鍾嘉賓委員鍾嘉賓委員
transcript.whisperx[364].start 10261.463
transcript.whisperx[364].end 10289.487
transcript.whisperx[364].text 鍾嘉斌委員鍾嘉斌委員不在那我們接下來就請鄭天才委員詢答好 主席有請這個廉政署署長有請廉政署
transcript.whisperx[365].start 10297.946
transcript.whisperx[365].end 10322.095
transcript.whisperx[365].text 副署長今天的主題中油三接福報工程款爭議及近年來國營事業貪瀆案件查處成效因為剛才很多委員都已經質詢了法務部部長也特別提到爭判中
transcript.whisperx[366].start 10323.366
transcript.whisperx[366].end 10342.639
transcript.whisperx[366].text 所以當然我們是希望盡快的完成這個偵辦那我們今天我主要還是要談怎麼樣去防範未來我們今天的一個主題當然這個媒體有這麼詳細
transcript.whisperx[367].start 10345.178
transcript.whisperx[367].end 10369.914
transcript.whisperx[367].text 的一個報導這個我們確實是要去從這個這樣的一個事件然後去了解整個相關我們的國營事業無論是中油台糖這個台電等等很多的國營事業如果按照你們廉政署自己的報告裡面也提到
transcript.whisperx[368].start 10371.849
transcript.whisperx[368].end 10398.731
transcript.whisperx[368].text 這個這幾年確實無論是中油台糖或者是台電都有這些涉及到不法的一個事件你們也都處理可能還有很多沒有注意到的部分所以這個部分怎麼樣去防範未來這個是一個很重要的因為基本上在行政機關
transcript.whisperx[369].start 10400.697
transcript.whisperx[369].end 10414.853
transcript.whisperx[369].text 在政府機關都有政風單位這個在國營事業請問一下這個副署長在國營事業你們這個怎麼樣去有相關的
transcript.whisperx[370].start 10417.222
transcript.whisperx[370].end 10439.515
transcript.whisperx[370].text 這個陣風單位嗎我們在一些比較重要的國營事業是有設陣風單位像中友的話呢中友它的中高階主管都是由廉政署這邊就比較有經驗的陣風人員派過去所以他是有派在中高階主管的部分
transcript.whisperx[371].start 10440.635
transcript.whisperx[371].end 10464.335
transcript.whisperx[371].text 像其他的國營事業都有不一定哪些沒有主要有設的是中油台電台糖水利公司像淘氣公司還有一些國營的銀行所以這個部分
transcript.whisperx[372].start 10466.533
transcript.whisperx[372].end 10495.595
transcript.whisperx[372].text 怎麼樣去強化 已經有了但是確實又好像這個是不是有沒有發揮最大的功效那一般行政機關都有比較大家都已經有這樣的一個了解然後執行各方面所以在這個國營事業的部分現在如果我們從這個政府採購法這個部分
transcript.whisperx[373].start 10497.355
transcript.whisperx[373].end 10526.536
transcript.whisperx[373].text 所以怎麼樣去針對政府採購法當然有的涉及到很專業很專業怎麼樣去因應從這個已經有的這些過去已經發生的案件然後現在正在這個偵辦中的案件在偵辦中的案件也能夠去了解才能夠不要再發生
transcript.whisperx[374].start 10528.074
transcript.whisperx[374].end 10551.679
transcript.whisperx[374].text 不要再發生這樣的一個這是一個更重要的了偵辦中的他就偵辦當然希望那個積極偵辦當然從你們的去了解這個個案然後去解決防範未然甚至你們去了解這個個案的當下
transcript.whisperx[375].start 10554.696
transcript.whisperx[375].end 10582.205
transcript.whisperx[375].text 也可以去聊去協助可以協助現在的檢調單位啊 是吧報告委員我們在案件申辦之後申辦移送之後如果發現該單位有需要再進行的措施那會提請他們去檢討改進那另外如果是案件比如說將來判決那檢方也會跟我們一些意見我們會做再訪判的工作
transcript.whisperx[376].start 10583.117
transcript.whisperx[376].end 10611.457
transcript.whisperx[376].text 沒有錯但是偵辦中的部分也要積極的去了解也可以去協助你們積極的去了解之後你就可以協助檢調單位尤其是檢察官因為他們這個也有他們的極限各種這個協助各方的協助當然防範於未來是最重要好不好加油
transcript.whisperx[377].start 10616.633
transcript.whisperx[377].end 10622.433
transcript.whisperx[377].text 好 謝謝鄭委員那接下來我們請林倩琦委員詢答
transcript.whisperx[378].start 10634.619
transcript.whisperx[378].end 10655.647
transcript.whisperx[378].text 好 謝謝我們的翁朝偉我想先請這個中油董事長方董事長還有核次長經濟部核次長和工程會主委我們今天是陳副主委來代表是 工程會陳副主委
transcript.whisperx[379].start 10658.001
transcript.whisperx[379].end 10679.199
transcript.whisperx[379].text 謝謝幾位我們今天的主題當然就是我們中油三接的弊案本席在一開始先來關心一下三接工程的品質還有建造責任相關的問題因為目前二期的工程經費的福報產生了一些爭議但是同一批的業者在第一期的工程
transcript.whisperx[380].start 10679.719
transcript.whisperx[380].end 10704.734
transcript.whisperx[380].text 也有一些問題跟一些爭議所以本席這邊來關心一下有關於工程品質的這個部分跟海岸的一個管理海岸的施工還有海岸的安全其實有一些相關性你們在中油公司在107年的10月26號決標了三接的工程然後是委託了台灣世西剛才我聽到很多委員也在談這個世西工程顧問公司的一些狀況但是施工是這個
transcript.whisperx[381].start 10708.297
transcript.whisperx[381].end 10729.338
transcript.whisperx[381].text 黃昌建設跟這個泛亞工程來承攬那麼第一期呢重點是在港區興建這個防波堤那結構是大量的一個沉箱那麼設計上很重要的是不僅要抵抗強浪的這個衝擊那也要注意到海岸安全的一個品質但是施工的品質在那個階段就已經都被質疑了
transcript.whisperx[382].start 10730.198
transcript.whisperx[382].end 10752.695
transcript.whisperx[382].text 防波堤的沉箱長寬高各25公尺但是比例上如果混凝土的配比不符合規範或者是化學生料的比例不對的話鋼筋跟混凝土的分離就會產生整個結構變成像豆腐渣這樣一個狀況因為本席也常常在海岸跑
transcript.whisperx[383].start 10753.195
transcript.whisperx[383].end 10769.362
transcript.whisperx[383].text 你們這個東西防波堤已經在海岸的安全很多人都要注意了如果施工不良的話又更讓這樣一個安全產生更重大的一個危害但是在一些相關的聯盟像藻礁公投推動聯盟
transcript.whisperx[384].start 10770.282
transcript.whisperx[384].end 10785.56
transcript.whisperx[384].text 在施工的階段就已經指出來有15座城鄉的結構破裂混凝土面積大量的剝落鋼筋水泥又外露這個看起來是很明顯的結構性的問題很重要的是後續還有工程船的擱淺
transcript.whisperx[385].start 10787.317
transcript.whisperx[385].end 10809.13
transcript.whisperx[385].text 早焦的受損近年還有一些公安事故已經造成了7名工人的死傷監察院跟勞動部都已經要求中油的檢討看來三接的工程品質也有一些令人質疑的部分監照的失職還有內部管理的問題似乎在現階段都要很積極的來做一個處理
transcript.whisperx[386].start 10810.931
transcript.whisperx[386].end 10832.584
transcript.whisperx[386].text 本席這邊要請教董事長的事這15座的破裂的城鄉的品質瑕疵究竟是怎麼發生的是設計錯誤還是材料不符還是建造單位疏於查驗第二個部分是建造過程當中有沒有定期來抽驗滾泥土的強度還有化學參比的一個比例
transcript.whisperx[387].start 10834.045
transcript.whisperx[387].end 10859.76
transcript.whisperx[387].text 如果有或者是您在這邊沒有辦法很清楚的這個細節的回應的話會後是不是也可以把相關的資料給本席針對本席上面所指的問題那最後一個部分是那麼你們有沒有針對施工廠商跟建造單位啟動他這個工程品質相對違約的一個相關機制跟責任的救處那是不是可以請您針對以上問題很快的簡短的跟本席做一個回應謝謝委員讓我有機會就這個部分做說明
transcript.whisperx[388].start 10863.184
transcript.whisperx[388].end 10867.118
transcript.whisperx[388].text 對於公司來講 對於工程的品質 它是品質至上的
transcript.whisperx[389].start 10868.334
transcript.whisperx[389].end 10895.006
transcript.whisperx[389].text 這個品質是沒有什麼打折扣的空間對於這個城鄉破損的原因我特別說明一下破損的原因在哪裡並沒有說摻混比例不足的問題也沒有摻混特別的化學品在裡面那麼這個破損的原因是因為這個城鄉是在台北港的地去做預置預置之後它要放到一個暫存區去養護
transcript.whisperx[390].start 10896.647
transcript.whisperx[390].end 10924.306
transcript.whisperx[390].text 那麼在剛開始的時候呢這個每一個城鄉暫存的距離不夠所以因此在港區裡面如果天氣不好的時候有湧浪去推頂這個城鄉呢就會造成城鄉之間的一個碰撞所以應該是在設計的這個部分可能有一些不太專業的地方沒有 是城鄉完成了以後放在暫存區的時候呢兩個城鄉之間的距離不夠
transcript.whisperx[391].start 10925.446
transcript.whisperx[391].end 10949.981
transcript.whisperx[391].text 所以這你們就要跟海事相關的一些專業來做討論常常在工程本席這邊發現尤其台灣的海域在工程上大家就是工程做工程的可是針對特殊的地形或者是特殊的需要很少去諮詢或者是做比較更完整的一些討論所以做出來的東西要嘛地形不符或者是沒有了解到您剛才講到永浪的這個問題那這應該很多海事專業的人他們應該會了解
transcript.whisperx[392].start 10953.763
transcript.whisperx[392].end 10975.258
transcript.whisperx[392].text 不同區域那麼海底跟這個海的這個變化那這就本席提出來一個問題啊對 所以不管你們是在哪一個階段那畢竟您說在暫存的時候那間距算的不夠就產生這樣一個問題對不對對所以它這中間還是有一些可以再檢討的部分嘛對不對我們也檢討了所以把暫存的距離把它放大
transcript.whisperx[393].start 10976.298
transcript.whisperx[393].end 10993.009
transcript.whisperx[393].text 第二個原因就是當這個城鄉從台北港拖到三接所在地去定位完了以後需要把這個城鄉裡面要放置石塊還有沙去把它填滿填滿這些動作的話就必須要有機具去做
transcript.whisperx[394].start 10995.651
transcript.whisperx[394].end 11013.784
transcript.whisperx[394].text 這個黃艙它做的時候它是用怪手沿著這個沉箱的頂去開過去以後去做這些相關的作為但是大家也曉得就是說這個怪手的話它是一個鋁帶 鋁帶帶動的這個鋁帶就會造成這個沉箱的上方
transcript.whisperx[395].start 11014.825
transcript.whisperx[395].end 11029.837
transcript.whisperx[395].text 會去把它剝落造成它的傷害所以原因在這裡那後續的話我們就要求他們你要做這個事情的時候你應該在上面要鋪鋼板來去避免那個怪手的履帶跟
transcript.whisperx[396].start 11030.618
transcript.whisperx[396].end 11056.897
transcript.whisperx[396].text 沉箱去接觸那麼後來也解決這類的問題所以這應該是一個施工技術你們可能過去沒有經驗或者是在過程當中沒有事先做好這個部分的一個討論對不對 對但是重點是在於說這個沉箱發現有破損你怎麼去處理那這個處理的過程中我們當然第一個要確定說你的鋼筋混凝土的比例有沒有用對不對那所以我們要求就是說你要去專心把這個取樣出來來看這個取樣的產品
transcript.whisperx[397].start 11059.939
transcript.whisperx[397].end 11085.155
transcript.whisperx[397].text 是你們在檢測的時候對本席這邊就您剛才講的工程的部分當然有相關的專業可是本席這邊要跟您再次強調未來這個機會應該也很多所以你們在這個階段所碰觸到的問題本席聽起來就是沒有因應地理環境然後跟海事相關人員很確切的把可能每一個階段會施工的
transcript.whisperx[398].start 11085.695
transcript.whisperx[398].end 11111.474
transcript.whisperx[398].text 產生技術性的這個問題把它在先前做好我想這應該給你們在下一個階段的這個工程的技術處理上你們應該再更縝密一點然後前面發生的狀況不要再發生才不會引起外界的一個疑慮所以你們剛才說這樣子弄好了之後可能因為前面的階段又產生了你們可能要再去專心去了解一下這結構上或者是混凝土的比例等等是不是OK我覺得這是連帶的
transcript.whisperx[399].start 11113.956
transcript.whisperx[399].end 11132.075
transcript.whisperx[399].text 所以你們這其實也很容易讓人家本席剛才所提出來的那比例有沒有參混那或許在不是很專業的施工過程當中導致這些疑慮那我想這個應該不僅是你們內部要再做一個檢視那未來也不要再發生了是
transcript.whisperx[400].start 11132.295
transcript.whisperx[400].end 11148.335
transcript.whisperx[400].text 好不好那這個是本席針對這個部分如果有試射你們在檢視的過程當中那有試射政府採購法比如說101條那如果有這個品質不佳或偷工減料的情勢您剛才講的是施工的這個部分嘛但是
transcript.whisperx[401].start 11148.695
transcript.whisperx[401].end 11170.331
transcript.whisperx[401].text 如果因此而產生了本席所講的這些狀況我想你們應該要這個工程會不好意思你們要很清楚的釐清是不是有將這些業者假設有這個情況發生要登載在公報上依照我們的相關的法規目前聽忠友這樣講你們大概有了解施工的一個狀況
transcript.whisperx[402].start 11171.092
transcript.whisperx[402].end 11188.095
transcript.whisperx[402].text 不過重點就是說公共工程我們如果能夠多一些專業的處理可以少一些後續大家的疑慮甚至搞不好真正萬一在這個過程當中大家不明白或者是真有一些觸法的情勢發生我想這都是大家不樂見的
transcript.whisperx[403].start 11189.036
transcript.whisperx[403].end 11206.925
transcript.whisperx[403].text 所以基本上這個工程品質我們希望不要讓這個東西再成為海上豆腐渣也希望在你們施工的時候不要再去衝擊到原本都在海邊生活的環境跟人好嗎好 謝謝接下來我們就針對要請防務部 調查局還有這個廉政署
transcript.whisperx[404].start 11211.389
transcript.whisperx[404].end 11232.569
transcript.whisperx[404].text 委員好謝謝這個很短的時間如果相關的訊息沒有辦法很快的回應再麻煩你們會後補一些資料我想今天這個主題很多都是針對媒體的揭露原本94億元的這樣一個價格然後在招標的過程當中引發
transcript.whisperx[405].start 11233.61
transcript.whisperx[405].end 11258.872
transcript.whisperx[405].text 不僅是疑慮啦已經有這樣弊案的一個產生那基本上就是原本大家的這個估價到最後呢一路漲到150億220億那麼可能中游也有很令人很疑慮的這個部分所以產生這樣所謂的圖利的問題那不知道部長您對於原本的估價到後來受業者的一個暗示也好明示也好或者是指示也好那到最後
transcript.whisperx[406].start 11259.733
transcript.whisperx[406].end 11267.564
transcript.whisperx[406].text 那個報價已經維護平常您覺得這樣子有沒有圖利的問題跟委員報告因為這個案件已經在
transcript.whisperx[407].start 11268.939
transcript.whisperx[407].end 11298.439
transcript.whisperx[407].text 立案已經在調查偵辦中那我也很關心這個問題我相信檢察官他對這些媒體的報導會做一一的釐清那事實上這部分本席所講的剛才那個狀況就是說原本報價那業界大概都知道是差不多怎麼樣子的一個價格結果到最後出來的這個感覺讓人家很福報的這樣一個結果這個如果有這樣子的情勢發生應該基本上可能有影響而且可能到了一個圖利的
transcript.whisperx[408].start 11299.479
transcript.whisperx[408].end 11325.07
transcript.whisperx[408].text 這部分法律上的一個評價要用證據來做一個認定那必須要經過調查那我相信整個委員官心的以及媒體所報導的這部分我相信檢調連辦案單位他們會去注意到這些的問題的一個調查釐清那調查的結果因為我們沒辦法去預設這個結果所以我們就尊重辦案單位的一個偵查的一個步驟跟計畫
transcript.whisperx[409].start 11327.335
transcript.whisperx[409].end 11349.476
transcript.whisperx[409].text 好的 各位本席認為如果有剛才本席所講的這樣一個情勢那確實是已經到了一種圖利的階段當然您講的這個狀況是說目前在調查中那您不便做一些回應但是本席是認為剛才本席講的如果原先估價是如此那業界大概認為這樣估價合理可是卻很不合理的讓人感覺到福報
transcript.whisperx[410].start 11351.398
transcript.whisperx[410].end 11370.985
transcript.whisperx[410].text 甚至有人很確定也是福報的話這樣子基本上應該是有一個圖利的行為產生了這是我們是就法論法跟就狀況而言但是針對這樣您當然是媒體的報導目前檢調在處理一切就依法跟依規來看最後的結果是如何
transcript.whisperx[411].start 11371.365
transcript.whisperx[411].end 11388.218
transcript.whisperx[411].text 但是當然報載這個部分也值得您這邊參考一下在2022年跟2025年的檢舉報載說檢舉人皆被沉默以對是不是有人蓄意的押案你們是不是可以來啟動一下內部的一個了解
transcript.whisperx[412].start 11388.798
transcript.whisperx[412].end 11414.487
transcript.whisperx[412].text 是不是有一個相關責任需要去做做釐清跟處理第二個部分是避免工程圖例被選擇性的辦案重大的弊案被吃案這是一般民眾常常會有疑慮的這個部分法務部你們應該建立一個重大採購案的檢舉專案的監督機制不管您覺得有沒有或者是您可能有一些不同的考量
transcript.whisperx[413].start 11414.867
transcript.whisperx[413].end 11435.355
transcript.whisperx[413].text 但是我想民眾的疑慮或許你們可以透過一些像機制平台的建立或者是更積極的一點溝通讓大家對於這種疑慮去減輕我覺得也是你們的一個相關的責任雖然你們都依法論法但是本席常認為就是說法務部在某一些事情的處理上可以更積極 更親民一點
transcript.whisperx[414].start 11437.356
transcript.whisperx[414].end 11447.269
transcript.whisperx[414].text 讓民眾了解然後也減少一些疑慮我覺得這應該是法務部除了你們在法律的專業以外那也應該讓民眾可以了解的您的看法呢
transcript.whisperx[415].start 11448.788
transcript.whisperx[415].end 11466.761
transcript.whisperx[415].text 我想這個我們絕對沒有吃案那個只有檢舉的話有的我們都會收文都會入案那這邊該去走行政調查路線或者做司法調查或者是調查完了結果這部分我想我們都會做有一些的處理其實像廉政署他沒有接到檢舉的話
transcript.whisperx[416].start 11467.902
transcript.whisperx[416].end 11492.756
transcript.whisperx[416].text 其實有前幾個他們有個廉政審查會他會請外聘委員來做一個檢視然後看看有沒有可以再調查的如果可以調查我們再重啟調查那如果說這個調查已經可以告一口斷絡我們會再請那個機關再去檢視你們是不是在做一個更積極的一個防攤的一個作為我想這個都是有這個機制若委員現在了解我們用書面來做一個回應
transcript.whisperx[417].start 11493.878
transcript.whisperx[417].end 11515.626
transcript.whisperx[417].text 好的 謝謝部長所以希望法務部調查局你們在這個月提供一下內部的檢討跟相關的疑雲的釐清的相關報告給本席基本上對大家的疑問或者是更積極的一個溝通平台處理像本席剛才提到一個建議就是說是不是可以有一些重大採購案的監督機制
transcript.whisperx[418].start 11519.047
transcript.whisperx[418].end 11546.956
transcript.whisperx[418].text 檢舉專案的這個監督機制的可能性那我覺得都可以做一個參考跟討論是 謝謝委員跟委員報告我們調查局是在今年8月的時候才收到一次的檢舉對 這是針對這個個案啦那本席今天談的是大概一整天大家針對這個個案延伸出很多的一個問題的詢問或者是某一些建議像剛才鄭委員就建議說有些東西我們現在碰到了那未來就不要再犯所以本席這邊也建議說那如果民眾有疑慮就是這個重大的這個
transcript.whisperx[419].start 11548.877
transcript.whisperx[419].end 11565.135
transcript.whisperx[419].text 這個案好像有被施案的這個可能有設置或機構的單位應該都有受理的一個機制是一個告發檢舉的機制那我想這部分我們會後我們如果說我們再用書面來做一個會
transcript.whisperx[420].start 11567.477
transcript.whisperx[420].end 11588.368
transcript.whisperx[420].text 所以相關的細節就麻煩你們再補一下相關的資料給我們做一個參考好 謝謝這麼的討論基本上是大家都希望一個司法正義那疑慮常常都會有那我們怎麼樣去溝通這樣一個疑慮我想這個應該是一個永不止息的必要性好 謝謝
transcript.whisperx[421].start 11591.377
transcript.whisperx[421].end 11615.937
transcript.whisperx[421].text 好 謝謝林委員的質詢那麼剛剛林委員所提出的幾個所知或是請你們要提供的報告也麻煩法務部還有調查局會後要提供那麼今天幾個委員都非常關心就是像是這個檢舉告發機制你們現在的目前的SOP的作業程序是如何那麼如果說已經有的話那就是把你們現在做的
transcript.whisperx[422].start 11617.062
transcript.whisperx[422].end 11646.703
transcript.whisperx[422].text 那就是告诉大家我们要想从制度面来了解那么不是说法务部自己说没有吃案那大家就会相信没有吃案而是要用事实用证据来说话这大家才会信任那么今天也感谢几个国营事业的董事长经理然后来本会来做备询那么我也期许就是方董事长中国方董事长这个案子基本上大家众所瞩目
transcript.whisperx[423].start 11647.687
transcript.whisperx[423].end 11658.078
transcript.whisperx[423].text 也希望透過這個案子然後可以再要求中油公司的員工要更注意不要去違反了相關的貪污 貪毒 舞弊等等這些問題然後自己的裡面的中油的紀律要建立
transcript.whisperx[424].start 11667.223
transcript.whisperx[424].end 11692.008
transcript.whisperx[424].text 好好謝謝好那我們今天對不起還有一個就是最後一位徐欣穎委員徐欣穎委員徐欣穎委員徐欣穎委員不在那麼我們現在就是所有登記發言的委員都已經發言完畢了我們今天的詢答就到此結束那委員質詢的時候要求提供相關資料或者是以書面答覆者的話也請相關機關盡速送交個別委員會以及本會
transcript.whisperx[425].start 11695.779
transcript.whisperx[425].end 11708.832
transcript.whisperx[425].text 好那麼委員審發會所提的書面質詢就列入記錄刊登不公報那並請相關機關以書面答覆好的那麼我們今天會議就到此結束現在散會好謝謝大家