iVOD / 15730

Field Value
IVOD_ID 15730
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15730
日期 2024-03-18
會議資料.會議代碼 委員會-11-1-20-4
會議資料.會議代碼:str 第11屆第1會期財政委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第1會期財政委員會第4次全體委員會議
影片種類 Full
開始時間 2024-03-18T08:31:05+08:00
結束時間 2024-03-18T12:48:00+08:00
影片長度 04:16:55
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e3e43fff42b9abd61dbed544b35c5f3ca3be8d109af184be44a5e1ebe9a8448215ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-18T09:00:00+08:00
會議名稱 立法院第11屆第1會期財政委員會第4次全體委員會議(事由:邀請金融監督管理委員會黃主任委員天牧率臺灣證券交易所股份有限公司林董事長修銘及財團法人中華民國證券櫃檯買賣中心陳董事長永誠、中央銀行分別就「從ETF熱賣看政府如何健全投資管道引導民間游資,避免熱錢過度投入房市」進行專題報告,並備質詢。 【3月18日及20日二天一次會】)
委員名稱 完整會議
委員發言時間 08:31:05 - 12:48:00
transcript.pyannote[0].speaker SPEAKER_20
transcript.pyannote[0].start 225.98721875
transcript.pyannote[0].end 228.65346875
transcript.pyannote[1].speaker SPEAKER_23
transcript.pyannote[1].start 228.65346875
transcript.pyannote[1].end 228.67034375
transcript.pyannote[2].speaker SPEAKER_20
transcript.pyannote[2].start 228.92346875
transcript.pyannote[2].end 231.69096875
transcript.pyannote[3].speaker SPEAKER_22
transcript.pyannote[3].start 1736.43471875
transcript.pyannote[3].end 1739.05034375
transcript.pyannote[4].speaker SPEAKER_15
transcript.pyannote[4].start 1741.21034375
transcript.pyannote[4].end 1743.84284375
transcript.pyannote[5].speaker SPEAKER_22
transcript.pyannote[5].start 1744.02846875
transcript.pyannote[5].end 1747.96034375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 1748.33159375
transcript.pyannote[6].end 1776.47909375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 1777.18784375
transcript.pyannote[7].end 1820.16846875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 1820.45534375
transcript.pyannote[8].end 1821.85596875
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 1822.48034375
transcript.pyannote[9].end 1824.74159375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 1825.12971875
transcript.pyannote[10].end 1838.29221875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 1838.69721875
transcript.pyannote[11].end 1850.98221875
transcript.pyannote[12].speaker SPEAKER_22
transcript.pyannote[12].start 1852.41659375
transcript.pyannote[12].end 1858.84596875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 1860.36471875
transcript.pyannote[13].end 1868.65034375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 1869.20721875
transcript.pyannote[14].end 1882.33596875
transcript.pyannote[15].speaker SPEAKER_22
transcript.pyannote[15].start 1882.72409375
transcript.pyannote[15].end 1890.21659375
transcript.pyannote[16].speaker SPEAKER_22
transcript.pyannote[16].start 1892.41034375
transcript.pyannote[16].end 1894.35096875
transcript.pyannote[17].speaker SPEAKER_22
transcript.pyannote[17].start 1895.98784375
transcript.pyannote[17].end 1897.86096875
transcript.pyannote[18].speaker SPEAKER_22
transcript.pyannote[18].start 1898.94096875
transcript.pyannote[18].end 1901.60721875
transcript.pyannote[19].speaker SPEAKER_22
transcript.pyannote[19].start 1901.77596875
transcript.pyannote[19].end 1903.42971875
transcript.pyannote[20].speaker SPEAKER_22
transcript.pyannote[20].start 1904.66159375
transcript.pyannote[20].end 1906.26471875
transcript.pyannote[21].speaker SPEAKER_22
transcript.pyannote[21].start 1907.19284375
transcript.pyannote[21].end 1910.80409375
transcript.pyannote[22].speaker SPEAKER_22
transcript.pyannote[22].start 1912.39034375
transcript.pyannote[22].end 1914.63471875
transcript.pyannote[23].speaker SPEAKER_22
transcript.pyannote[23].start 1915.20846875
transcript.pyannote[23].end 1916.55846875
transcript.pyannote[24].speaker SPEAKER_22
transcript.pyannote[24].start 1918.29659375
transcript.pyannote[24].end 1920.67596875
transcript.pyannote[25].speaker SPEAKER_22
transcript.pyannote[25].start 1922.14409375
transcript.pyannote[25].end 1922.66721875
transcript.pyannote[26].speaker SPEAKER_22
transcript.pyannote[26].start 1926.46409375
transcript.pyannote[26].end 1927.37534375
transcript.pyannote[27].speaker SPEAKER_22
transcript.pyannote[27].start 1928.40471875
transcript.pyannote[27].end 1929.46784375
transcript.pyannote[28].speaker SPEAKER_22
transcript.pyannote[28].start 1931.08784375
transcript.pyannote[28].end 1952.14784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 1948.40159375
transcript.pyannote[29].end 1948.84034375
transcript.pyannote[30].speaker SPEAKER_22
transcript.pyannote[30].start 1952.18159375
transcript.pyannote[30].end 1953.46409375
transcript.pyannote[31].speaker SPEAKER_22
transcript.pyannote[31].start 1953.91971875
transcript.pyannote[31].end 1956.85596875
transcript.pyannote[32].speaker SPEAKER_06
transcript.pyannote[32].start 1965.17534375
transcript.pyannote[32].end 1965.66471875
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 1966.64346875
transcript.pyannote[33].end 1968.14534375
transcript.pyannote[34].speaker SPEAKER_06
transcript.pyannote[34].start 1968.76971875
transcript.pyannote[34].end 1970.89596875
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 1971.60471875
transcript.pyannote[35].end 1972.11096875
transcript.pyannote[36].speaker SPEAKER_06
transcript.pyannote[36].start 1972.19534375
transcript.pyannote[36].end 1973.32596875
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 1973.81534375
transcript.pyannote[37].end 1977.35909375
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 1977.78096875
transcript.pyannote[38].end 1981.89846875
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 1982.74221875
transcript.pyannote[39].end 1984.21034375
transcript.pyannote[40].speaker SPEAKER_06
transcript.pyannote[40].start 1984.59846875
transcript.pyannote[40].end 1988.04096875
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 1988.63159375
transcript.pyannote[41].end 1989.69471875
transcript.pyannote[42].speaker SPEAKER_06
transcript.pyannote[42].start 1989.96471875
transcript.pyannote[42].end 1992.74909375
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 1993.23846875
transcript.pyannote[43].end 1995.78659375
transcript.pyannote[44].speaker SPEAKER_06
transcript.pyannote[44].start 1996.03971875
transcript.pyannote[44].end 1998.99284375
transcript.pyannote[45].speaker SPEAKER_06
transcript.pyannote[45].start 1999.22909375
transcript.pyannote[45].end 2002.51971875
transcript.pyannote[46].speaker SPEAKER_06
transcript.pyannote[46].start 2003.41409375
transcript.pyannote[46].end 2005.67534375
transcript.pyannote[47].speaker SPEAKER_06
transcript.pyannote[47].start 2005.87784375
transcript.pyannote[47].end 2008.51034375
transcript.pyannote[48].speaker SPEAKER_06
transcript.pyannote[48].start 2009.94471875
transcript.pyannote[48].end 2010.55221875
transcript.pyannote[49].speaker SPEAKER_06
transcript.pyannote[49].start 2011.27784375
transcript.pyannote[49].end 2014.21409375
transcript.pyannote[50].speaker SPEAKER_06
transcript.pyannote[50].start 2014.85534375
transcript.pyannote[50].end 2015.49659375
transcript.pyannote[51].speaker SPEAKER_06
transcript.pyannote[51].start 2016.12096875
transcript.pyannote[51].end 2017.30221875
transcript.pyannote[52].speaker SPEAKER_06
transcript.pyannote[52].start 2017.92659375
transcript.pyannote[52].end 2021.89221875
transcript.pyannote[53].speaker SPEAKER_06
transcript.pyannote[53].start 2022.14534375
transcript.pyannote[53].end 2024.69346875
transcript.pyannote[54].speaker SPEAKER_06
transcript.pyannote[54].start 2025.31784375
transcript.pyannote[54].end 2026.92096875
transcript.pyannote[55].speaker SPEAKER_06
transcript.pyannote[55].start 2027.88284375
transcript.pyannote[55].end 2029.04721875
transcript.pyannote[56].speaker SPEAKER_06
transcript.pyannote[56].start 2029.31721875
transcript.pyannote[56].end 2034.14346875
transcript.pyannote[57].speaker SPEAKER_06
transcript.pyannote[57].start 2034.54846875
transcript.pyannote[57].end 2036.53971875
transcript.pyannote[58].speaker SPEAKER_06
transcript.pyannote[58].start 2037.07971875
transcript.pyannote[58].end 2038.37909375
transcript.pyannote[59].speaker SPEAKER_06
transcript.pyannote[59].start 2039.47596875
transcript.pyannote[59].end 2041.19721875
transcript.pyannote[60].speaker SPEAKER_06
transcript.pyannote[60].start 2041.82159375
transcript.pyannote[60].end 2044.40346875
transcript.pyannote[61].speaker SPEAKER_06
transcript.pyannote[61].start 2045.48346875
transcript.pyannote[61].end 2048.03159375
transcript.pyannote[62].speaker SPEAKER_06
transcript.pyannote[62].start 2048.40284375
transcript.pyannote[62].end 2050.91721875
transcript.pyannote[63].speaker SPEAKER_06
transcript.pyannote[63].start 2051.84534375
transcript.pyannote[63].end 2053.85346875
transcript.pyannote[64].speaker SPEAKER_06
transcript.pyannote[64].start 2054.19096875
transcript.pyannote[64].end 2059.59096875
transcript.pyannote[65].speaker SPEAKER_06
transcript.pyannote[65].start 2061.24471875
transcript.pyannote[65].end 2064.45096875
transcript.pyannote[66].speaker SPEAKER_06
transcript.pyannote[66].start 2065.14284375
transcript.pyannote[66].end 2067.16784375
transcript.pyannote[67].speaker SPEAKER_06
transcript.pyannote[67].start 2067.67409375
transcript.pyannote[67].end 2069.05784375
transcript.pyannote[68].speaker SPEAKER_06
transcript.pyannote[68].start 2069.64846875
transcript.pyannote[68].end 2070.18846875
transcript.pyannote[69].speaker SPEAKER_06
transcript.pyannote[69].start 2070.44159375
transcript.pyannote[69].end 2071.63971875
transcript.pyannote[70].speaker SPEAKER_06
transcript.pyannote[70].start 2071.92659375
transcript.pyannote[70].end 2072.56784375
transcript.pyannote[71].speaker SPEAKER_06
transcript.pyannote[71].start 2073.46221875
transcript.pyannote[71].end 2076.68534375
transcript.pyannote[72].speaker SPEAKER_06
transcript.pyannote[72].start 2078.11971875
transcript.pyannote[72].end 2079.06471875
transcript.pyannote[73].speaker SPEAKER_06
transcript.pyannote[73].start 2079.25034375
transcript.pyannote[73].end 2081.05596875
transcript.pyannote[74].speaker SPEAKER_06
transcript.pyannote[74].start 2081.34284375
transcript.pyannote[74].end 2081.96721875
transcript.pyannote[75].speaker SPEAKER_06
transcript.pyannote[75].start 2082.42284375
transcript.pyannote[75].end 2084.48159375
transcript.pyannote[76].speaker SPEAKER_06
transcript.pyannote[76].start 2086.30409375
transcript.pyannote[76].end 2087.62034375
transcript.pyannote[77].speaker SPEAKER_06
transcript.pyannote[77].start 2088.59909375
transcript.pyannote[77].end 2093.13846875
transcript.pyannote[78].speaker SPEAKER_06
transcript.pyannote[78].start 2094.13409375
transcript.pyannote[78].end 2099.80409375
transcript.pyannote[79].speaker SPEAKER_06
transcript.pyannote[79].start 2100.25971875
transcript.pyannote[79].end 2103.04409375
transcript.pyannote[80].speaker SPEAKER_06
transcript.pyannote[80].start 2103.98909375
transcript.pyannote[80].end 2109.30471875
transcript.pyannote[81].speaker SPEAKER_06
transcript.pyannote[81].start 2109.65909375
transcript.pyannote[81].end 2113.59096875
transcript.pyannote[82].speaker SPEAKER_06
transcript.pyannote[82].start 2115.05909375
transcript.pyannote[82].end 2116.64534375
transcript.pyannote[83].speaker SPEAKER_06
transcript.pyannote[83].start 2117.23596875
transcript.pyannote[83].end 2120.02034375
transcript.pyannote[84].speaker SPEAKER_06
transcript.pyannote[84].start 2120.52659375
transcript.pyannote[84].end 2124.42471875
transcript.pyannote[85].speaker SPEAKER_06
transcript.pyannote[85].start 2125.72409375
transcript.pyannote[85].end 2128.49159375
transcript.pyannote[86].speaker SPEAKER_06
transcript.pyannote[86].start 2129.14971875
transcript.pyannote[86].end 2130.88784375
transcript.pyannote[87].speaker SPEAKER_06
transcript.pyannote[87].start 2131.57971875
transcript.pyannote[87].end 2136.13596875
transcript.pyannote[88].speaker SPEAKER_06
transcript.pyannote[88].start 2136.94596875
transcript.pyannote[88].end 2138.58284375
transcript.pyannote[89].speaker SPEAKER_06
transcript.pyannote[89].start 2139.17346875
transcript.pyannote[89].end 2141.23221875
transcript.pyannote[90].speaker SPEAKER_06
transcript.pyannote[90].start 2141.90721875
transcript.pyannote[90].end 2144.86034375
transcript.pyannote[91].speaker SPEAKER_06
transcript.pyannote[91].start 2144.97846875
transcript.pyannote[91].end 2147.64471875
transcript.pyannote[92].speaker SPEAKER_06
transcript.pyannote[92].start 2148.25221875
transcript.pyannote[92].end 2151.25596875
transcript.pyannote[93].speaker SPEAKER_06
transcript.pyannote[93].start 2151.77909375
transcript.pyannote[93].end 2153.02784375
transcript.pyannote[94].speaker SPEAKER_06
transcript.pyannote[94].start 2153.92221875
transcript.pyannote[94].end 2154.93471875
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 2155.74471875
transcript.pyannote[95].end 2168.08034375
transcript.pyannote[96].speaker SPEAKER_06
transcript.pyannote[96].start 2169.71721875
transcript.pyannote[96].end 2170.96596875
transcript.pyannote[97].speaker SPEAKER_06
transcript.pyannote[97].start 2171.64096875
transcript.pyannote[97].end 2173.71659375
transcript.pyannote[98].speaker SPEAKER_06
transcript.pyannote[98].start 2174.37471875
transcript.pyannote[98].end 2175.57284375
transcript.pyannote[99].speaker SPEAKER_06
transcript.pyannote[99].start 2177.27721875
transcript.pyannote[99].end 2178.76221875
transcript.pyannote[100].speaker SPEAKER_06
transcript.pyannote[100].start 2179.62284375
transcript.pyannote[100].end 2181.22596875
transcript.pyannote[101].speaker SPEAKER_06
transcript.pyannote[101].start 2182.96409375
transcript.pyannote[101].end 2184.88784375
transcript.pyannote[102].speaker SPEAKER_06
transcript.pyannote[102].start 2185.37721875
transcript.pyannote[102].end 2187.87471875
transcript.pyannote[103].speaker SPEAKER_06
transcript.pyannote[103].start 2188.76909375
transcript.pyannote[103].end 2192.04284375
transcript.pyannote[104].speaker SPEAKER_06
transcript.pyannote[104].start 2192.56596875
transcript.pyannote[104].end 2195.45159375
transcript.pyannote[105].speaker SPEAKER_06
transcript.pyannote[105].start 2196.19409375
transcript.pyannote[105].end 2197.34159375
transcript.pyannote[106].speaker SPEAKER_06
transcript.pyannote[106].start 2198.25284375
transcript.pyannote[106].end 2199.95721875
transcript.pyannote[107].speaker SPEAKER_06
transcript.pyannote[107].start 2200.93596875
transcript.pyannote[107].end 2203.53471875
transcript.pyannote[108].speaker SPEAKER_06
transcript.pyannote[108].start 2203.97346875
transcript.pyannote[108].end 2205.08721875
transcript.pyannote[109].speaker SPEAKER_06
transcript.pyannote[109].start 2205.57659375
transcript.pyannote[109].end 2216.27534375
transcript.pyannote[110].speaker SPEAKER_06
transcript.pyannote[110].start 2216.86596875
transcript.pyannote[110].end 2218.13159375
transcript.pyannote[111].speaker SPEAKER_06
transcript.pyannote[111].start 2218.51971875
transcript.pyannote[111].end 2219.68409375
transcript.pyannote[112].speaker SPEAKER_06
transcript.pyannote[112].start 2220.79784375
transcript.pyannote[112].end 2224.37534375
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 2224.81409375
transcript.pyannote[113].end 2226.53534375
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 2227.42971875
transcript.pyannote[114].end 2230.56846875
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 2230.97346875
transcript.pyannote[115].end 2231.86784375
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 2232.15471875
transcript.pyannote[116].end 2234.44971875
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 2234.78721875
transcript.pyannote[117].end 2236.89659375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 2237.82471875
transcript.pyannote[118].end 2239.66409375
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 2240.20409375
transcript.pyannote[119].end 2245.04721875
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 2246.34659375
transcript.pyannote[120].end 2249.94096875
transcript.pyannote[121].speaker SPEAKER_06
transcript.pyannote[121].start 2250.48096875
transcript.pyannote[121].end 2251.57784375
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 2252.03346875
transcript.pyannote[122].end 2254.53096875
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 2255.34096875
transcript.pyannote[123].end 2258.00721875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 2258.41221875
transcript.pyannote[124].end 2261.34846875
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 2261.93909375
transcript.pyannote[125].end 2262.79971875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 2262.96846875
transcript.pyannote[126].end 2265.51659375
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 2266.46159375
transcript.pyannote[127].end 2267.47409375
transcript.pyannote[128].speaker SPEAKER_06
transcript.pyannote[128].start 2267.89596875
transcript.pyannote[128].end 2269.93784375
transcript.pyannote[129].speaker SPEAKER_06
transcript.pyannote[129].start 2270.96721875
transcript.pyannote[129].end 2273.43096875
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 2273.98784375
transcript.pyannote[130].end 2275.64159375
transcript.pyannote[131].speaker SPEAKER_06
transcript.pyannote[131].start 2275.99596875
transcript.pyannote[131].end 2278.39221875
transcript.pyannote[132].speaker SPEAKER_06
transcript.pyannote[132].start 2278.72971875
transcript.pyannote[132].end 2279.74221875
transcript.pyannote[133].speaker SPEAKER_06
transcript.pyannote[133].start 2279.96159375
transcript.pyannote[133].end 2283.35346875
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 2284.43346875
transcript.pyannote[134].end 2287.33596875
transcript.pyannote[135].speaker SPEAKER_06
transcript.pyannote[135].start 2289.25971875
transcript.pyannote[135].end 2289.90096875
transcript.pyannote[136].speaker SPEAKER_06
transcript.pyannote[136].start 2290.40721875
transcript.pyannote[136].end 2291.14971875
transcript.pyannote[137].speaker SPEAKER_06
transcript.pyannote[137].start 2291.20034375
transcript.pyannote[137].end 2291.89221875
transcript.pyannote[138].speaker SPEAKER_06
transcript.pyannote[138].start 2292.46596875
transcript.pyannote[138].end 2293.79909375
transcript.pyannote[139].speaker SPEAKER_06
transcript.pyannote[139].start 2294.18721875
transcript.pyannote[139].end 2296.80284375
transcript.pyannote[140].speaker SPEAKER_06
transcript.pyannote[140].start 2297.34284375
transcript.pyannote[140].end 2304.17721875
transcript.pyannote[141].speaker SPEAKER_06
transcript.pyannote[141].start 2304.97034375
transcript.pyannote[141].end 2306.08409375
transcript.pyannote[142].speaker SPEAKER_06
transcript.pyannote[142].start 2306.70846875
transcript.pyannote[142].end 2308.81784375
transcript.pyannote[143].speaker SPEAKER_06
transcript.pyannote[143].start 2309.91471875
transcript.pyannote[143].end 2310.87659375
transcript.pyannote[144].speaker SPEAKER_06
transcript.pyannote[144].start 2311.18034375
transcript.pyannote[144].end 2315.07846875
transcript.pyannote[145].speaker SPEAKER_06
transcript.pyannote[145].start 2316.00659375
transcript.pyannote[145].end 2316.49596875
transcript.pyannote[146].speaker SPEAKER_06
transcript.pyannote[146].start 2316.90096875
transcript.pyannote[146].end 2318.75721875
transcript.pyannote[147].speaker SPEAKER_06
transcript.pyannote[147].start 2319.26346875
transcript.pyannote[147].end 2323.00971875
transcript.pyannote[148].speaker SPEAKER_06
transcript.pyannote[148].start 2323.80284375
transcript.pyannote[148].end 2324.35971875
transcript.pyannote[149].speaker SPEAKER_06
transcript.pyannote[149].start 2325.20346875
transcript.pyannote[149].end 2328.57846875
transcript.pyannote[150].speaker SPEAKER_06
transcript.pyannote[150].start 2329.35471875
transcript.pyannote[150].end 2332.47659375
transcript.pyannote[151].speaker SPEAKER_06
transcript.pyannote[151].start 2333.26971875
transcript.pyannote[151].end 2333.77596875
transcript.pyannote[152].speaker SPEAKER_06
transcript.pyannote[152].start 2334.36659375
transcript.pyannote[152].end 2337.65721875
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 2338.29846875
transcript.pyannote[153].end 2339.58096875
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 2340.42471875
transcript.pyannote[154].end 2342.02784375
transcript.pyannote[155].speaker SPEAKER_06
transcript.pyannote[155].start 2342.48346875
transcript.pyannote[155].end 2344.72784375
transcript.pyannote[156].speaker SPEAKER_06
transcript.pyannote[156].start 2345.30159375
transcript.pyannote[156].end 2348.37284375
transcript.pyannote[157].speaker SPEAKER_06
transcript.pyannote[157].start 2349.06471875
transcript.pyannote[157].end 2351.12346875
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2351.62971875
transcript.pyannote[158].end 2354.48159375
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 2356.35471875
transcript.pyannote[159].end 2359.37534375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 2359.74659375
transcript.pyannote[160].end 2362.22721875
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 2362.66596875
transcript.pyannote[161].end 2365.19721875
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 2365.78784375
transcript.pyannote[162].end 2366.78346875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 2368.23471875
transcript.pyannote[163].end 2368.85909375
transcript.pyannote[164].speaker SPEAKER_06
transcript.pyannote[164].start 2369.61846875
transcript.pyannote[164].end 2376.75659375
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 2377.51596875
transcript.pyannote[165].end 2383.16909375
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 2384.29971875
transcript.pyannote[166].end 2390.17221875
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 2390.98221875
transcript.pyannote[167].end 2395.75784375
transcript.pyannote[168].speaker SPEAKER_06
transcript.pyannote[168].start 2396.36534375
transcript.pyannote[168].end 2401.51221875
transcript.pyannote[169].speaker SPEAKER_06
transcript.pyannote[169].start 2402.92971875
transcript.pyannote[169].end 2408.41409375
transcript.pyannote[170].speaker SPEAKER_06
transcript.pyannote[170].start 2410.15221875
transcript.pyannote[170].end 2410.69221875
transcript.pyannote[171].speaker SPEAKER_06
transcript.pyannote[171].start 2411.13096875
transcript.pyannote[171].end 2413.22346875
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 2413.57784375
transcript.pyannote[172].end 2414.72534375
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 2415.07971875
transcript.pyannote[173].end 2417.83034375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 2418.23534375
transcript.pyannote[174].end 2422.35284375
transcript.pyannote[175].speaker SPEAKER_06
transcript.pyannote[175].start 2423.17971875
transcript.pyannote[175].end 2424.88409375
transcript.pyannote[176].speaker SPEAKER_06
transcript.pyannote[176].start 2425.33971875
transcript.pyannote[176].end 2426.26784375
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 2426.87534375
transcript.pyannote[177].end 2427.60096875
transcript.pyannote[178].speaker SPEAKER_06
transcript.pyannote[178].start 2427.95534375
transcript.pyannote[178].end 2428.63034375
transcript.pyannote[179].speaker SPEAKER_06
transcript.pyannote[179].start 2429.27159375
transcript.pyannote[179].end 2430.46971875
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 2430.73971875
transcript.pyannote[180].end 2432.12346875
transcript.pyannote[181].speaker SPEAKER_06
transcript.pyannote[181].start 2433.77721875
transcript.pyannote[181].end 2434.41846875
transcript.pyannote[182].speaker SPEAKER_06
transcript.pyannote[182].start 2435.14409375
transcript.pyannote[182].end 2435.75159375
transcript.pyannote[183].speaker SPEAKER_06
transcript.pyannote[183].start 2435.81909375
transcript.pyannote[183].end 2439.10971875
transcript.pyannote[184].speaker SPEAKER_06
transcript.pyannote[184].start 2440.42596875
transcript.pyannote[184].end 2443.07534375
transcript.pyannote[185].speaker SPEAKER_06
transcript.pyannote[185].start 2443.81784375
transcript.pyannote[185].end 2446.46721875
transcript.pyannote[186].speaker SPEAKER_06
transcript.pyannote[186].start 2446.95659375
transcript.pyannote[186].end 2448.77909375
transcript.pyannote[187].speaker SPEAKER_06
transcript.pyannote[187].start 2449.18409375
transcript.pyannote[187].end 2450.16284375
transcript.pyannote[188].speaker SPEAKER_06
transcript.pyannote[188].start 2450.56784375
transcript.pyannote[188].end 2452.17096875
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 2452.25534375
transcript.pyannote[189].end 2456.23784375
transcript.pyannote[190].speaker SPEAKER_06
transcript.pyannote[190].start 2458.17846875
transcript.pyannote[190].end 2460.30471875
transcript.pyannote[191].speaker SPEAKER_06
transcript.pyannote[191].start 2461.09784375
transcript.pyannote[191].end 2464.54034375
transcript.pyannote[192].speaker SPEAKER_06
transcript.pyannote[192].start 2464.79346875
transcript.pyannote[192].end 2465.63721875
transcript.pyannote[193].speaker SPEAKER_06
transcript.pyannote[193].start 2466.16034375
transcript.pyannote[193].end 2468.94471875
transcript.pyannote[194].speaker SPEAKER_06
transcript.pyannote[194].start 2469.53534375
transcript.pyannote[194].end 2471.59409375
transcript.pyannote[195].speaker SPEAKER_06
transcript.pyannote[195].start 2472.26909375
transcript.pyannote[195].end 2474.54721875
transcript.pyannote[196].speaker SPEAKER_06
transcript.pyannote[196].start 2475.03659375
transcript.pyannote[196].end 2478.24284375
transcript.pyannote[197].speaker SPEAKER_06
transcript.pyannote[197].start 2479.59284375
transcript.pyannote[197].end 2482.19159375
transcript.pyannote[198].speaker SPEAKER_06
transcript.pyannote[198].start 2482.73159375
transcript.pyannote[198].end 2483.30534375
transcript.pyannote[199].speaker SPEAKER_06
transcript.pyannote[199].start 2483.54159375
transcript.pyannote[199].end 2488.43534375
transcript.pyannote[200].speaker SPEAKER_06
transcript.pyannote[200].start 2489.07659375
transcript.pyannote[200].end 2491.32096875
transcript.pyannote[201].speaker SPEAKER_06
transcript.pyannote[201].start 2491.45596875
transcript.pyannote[201].end 2492.73846875
transcript.pyannote[202].speaker SPEAKER_06
transcript.pyannote[202].start 2494.22346875
transcript.pyannote[202].end 2494.74659375
transcript.pyannote[203].speaker SPEAKER_06
transcript.pyannote[203].start 2495.94471875
transcript.pyannote[203].end 2496.95721875
transcript.pyannote[204].speaker SPEAKER_06
transcript.pyannote[204].start 2497.34534375
transcript.pyannote[204].end 2498.91471875
transcript.pyannote[205].speaker SPEAKER_06
transcript.pyannote[205].start 2499.31971875
transcript.pyannote[205].end 2500.99034375
transcript.pyannote[206].speaker SPEAKER_06
transcript.pyannote[206].start 2501.29409375
transcript.pyannote[206].end 2503.43721875
transcript.pyannote[207].speaker SPEAKER_06
transcript.pyannote[207].start 2504.24721875
transcript.pyannote[207].end 2505.95159375
transcript.pyannote[208].speaker SPEAKER_06
transcript.pyannote[208].start 2506.52534375
transcript.pyannote[208].end 2509.30971875
transcript.pyannote[209].speaker SPEAKER_06
transcript.pyannote[209].start 2510.01846875
transcript.pyannote[209].end 2512.09409375
transcript.pyannote[210].speaker SPEAKER_06
transcript.pyannote[210].start 2512.68471875
transcript.pyannote[210].end 2514.64221875
transcript.pyannote[211].speaker SPEAKER_06
transcript.pyannote[211].start 2514.94596875
transcript.pyannote[211].end 2518.82721875
transcript.pyannote[212].speaker SPEAKER_06
transcript.pyannote[212].start 2519.33346875
transcript.pyannote[212].end 2524.96971875
transcript.pyannote[213].speaker SPEAKER_06
transcript.pyannote[213].start 2525.71221875
transcript.pyannote[213].end 2529.84659375
transcript.pyannote[214].speaker SPEAKER_06
transcript.pyannote[214].start 2529.89721875
transcript.pyannote[214].end 2533.28909375
transcript.pyannote[215].speaker SPEAKER_06
transcript.pyannote[215].start 2533.96409375
transcript.pyannote[215].end 2535.06096875
transcript.pyannote[216].speaker SPEAKER_06
transcript.pyannote[216].start 2535.80346875
transcript.pyannote[216].end 2537.01846875
transcript.pyannote[217].speaker SPEAKER_06
transcript.pyannote[217].start 2537.30534375
transcript.pyannote[217].end 2541.82784375
transcript.pyannote[218].speaker SPEAKER_06
transcript.pyannote[218].start 2542.41846875
transcript.pyannote[218].end 2543.63346875
transcript.pyannote[219].speaker SPEAKER_06
transcript.pyannote[219].start 2543.98784375
transcript.pyannote[219].end 2545.25346875
transcript.pyannote[220].speaker SPEAKER_06
transcript.pyannote[220].start 2545.50659375
transcript.pyannote[220].end 2548.10534375
transcript.pyannote[221].speaker SPEAKER_06
transcript.pyannote[221].start 2548.54409375
transcript.pyannote[221].end 2550.31596875
transcript.pyannote[222].speaker SPEAKER_06
transcript.pyannote[222].start 2551.64909375
transcript.pyannote[222].end 2552.12159375
transcript.pyannote[223].speaker SPEAKER_06
transcript.pyannote[223].start 2552.49284375
transcript.pyannote[223].end 2553.43784375
transcript.pyannote[224].speaker SPEAKER_06
transcript.pyannote[224].start 2554.07909375
transcript.pyannote[224].end 2554.58534375
transcript.pyannote[225].speaker SPEAKER_06
transcript.pyannote[225].start 2555.74971875
transcript.pyannote[225].end 2557.87596875
transcript.pyannote[226].speaker SPEAKER_06
transcript.pyannote[226].start 2558.65221875
transcript.pyannote[226].end 2561.67284375
transcript.pyannote[227].speaker SPEAKER_06
transcript.pyannote[227].start 2561.85846875
transcript.pyannote[227].end 2563.03971875
transcript.pyannote[228].speaker SPEAKER_06
transcript.pyannote[228].start 2563.19159375
transcript.pyannote[228].end 2564.32221875
transcript.pyannote[229].speaker SPEAKER_06
transcript.pyannote[229].start 2564.67659375
transcript.pyannote[229].end 2569.48596875
transcript.pyannote[230].speaker SPEAKER_06
transcript.pyannote[230].start 2571.39284375
transcript.pyannote[230].end 2574.91971875
transcript.pyannote[231].speaker SPEAKER_06
transcript.pyannote[231].start 2575.12221875
transcript.pyannote[231].end 2576.75909375
transcript.pyannote[232].speaker SPEAKER_06
transcript.pyannote[232].start 2577.46784375
transcript.pyannote[232].end 2579.23971875
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 2579.84721875
transcript.pyannote[233].end 2582.04096875
transcript.pyannote[234].speaker SPEAKER_06
transcript.pyannote[234].start 2582.68221875
transcript.pyannote[234].end 2585.06159375
transcript.pyannote[235].speaker SPEAKER_06
transcript.pyannote[235].start 2585.34846875
transcript.pyannote[235].end 2588.57159375
transcript.pyannote[236].speaker SPEAKER_06
transcript.pyannote[236].start 2589.02721875
transcript.pyannote[236].end 2590.59659375
transcript.pyannote[237].speaker SPEAKER_06
transcript.pyannote[237].start 2591.27159375
transcript.pyannote[237].end 2593.98846875
transcript.pyannote[238].speaker SPEAKER_06
transcript.pyannote[238].start 2594.42721875
transcript.pyannote[238].end 2596.23284375
transcript.pyannote[239].speaker SPEAKER_06
transcript.pyannote[239].start 2596.80659375
transcript.pyannote[239].end 2598.35909375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 2598.62909375
transcript.pyannote[240].end 2600.73846875
transcript.pyannote[241].speaker SPEAKER_06
transcript.pyannote[241].start 2602.25721875
transcript.pyannote[241].end 2606.25659375
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 2606.71221875
transcript.pyannote[242].end 2609.19284375
transcript.pyannote[243].speaker SPEAKER_06
transcript.pyannote[243].start 2609.76659375
transcript.pyannote[243].end 2611.80846875
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 2612.66909375
transcript.pyannote[244].end 2615.18346875
transcript.pyannote[245].speaker SPEAKER_06
transcript.pyannote[245].start 2616.70221875
transcript.pyannote[245].end 2617.76534375
transcript.pyannote[246].speaker SPEAKER_06
transcript.pyannote[246].start 2618.59221875
transcript.pyannote[246].end 2622.15284375
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 2622.67596875
transcript.pyannote[247].end 2625.91596875
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 2627.53596875
transcript.pyannote[248].end 2628.41346875
transcript.pyannote[249].speaker SPEAKER_06
transcript.pyannote[249].start 2628.73409375
transcript.pyannote[249].end 2633.71221875
transcript.pyannote[250].speaker SPEAKER_06
transcript.pyannote[250].start 2634.57284375
transcript.pyannote[250].end 2635.68659375
transcript.pyannote[251].speaker SPEAKER_06
transcript.pyannote[251].start 2635.90596875
transcript.pyannote[251].end 2642.50409375
transcript.pyannote[252].speaker SPEAKER_06
transcript.pyannote[252].start 2643.48284375
transcript.pyannote[252].end 2644.68096875
transcript.pyannote[253].speaker SPEAKER_06
transcript.pyannote[253].start 2645.11971875
transcript.pyannote[253].end 2648.78159375
transcript.pyannote[254].speaker SPEAKER_06
transcript.pyannote[254].start 2650.18221875
transcript.pyannote[254].end 2657.80971875
transcript.pyannote[255].speaker SPEAKER_06
transcript.pyannote[255].start 2659.29471875
transcript.pyannote[255].end 2665.74096875
transcript.pyannote[256].speaker SPEAKER_06
transcript.pyannote[256].start 2667.00659375
transcript.pyannote[256].end 2668.22159375
transcript.pyannote[257].speaker SPEAKER_06
transcript.pyannote[257].start 2668.47471875
transcript.pyannote[257].end 2671.64721875
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 2671.96784375
transcript.pyannote[258].end 2672.98034375
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 2673.77346875
transcript.pyannote[259].end 2675.69721875
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 2676.03471875
transcript.pyannote[260].end 2677.68846875
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 2678.09346875
transcript.pyannote[261].end 2679.52784375
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 2681.26596875
transcript.pyannote[262].end 2682.16034375
transcript.pyannote[263].speaker SPEAKER_06
transcript.pyannote[263].start 2682.76784375
transcript.pyannote[263].end 2683.81409375
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 2684.37096875
transcript.pyannote[264].end 2687.35784375
transcript.pyannote[265].speaker SPEAKER_06
transcript.pyannote[265].start 2687.72909375
transcript.pyannote[265].end 2689.23096875
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 2689.77096875
transcript.pyannote[266].end 2693.01096875
transcript.pyannote[267].speaker SPEAKER_06
transcript.pyannote[267].start 2693.73659375
transcript.pyannote[267].end 2695.08659375
transcript.pyannote[268].speaker SPEAKER_06
transcript.pyannote[268].start 2695.45784375
transcript.pyannote[268].end 2698.22534375
transcript.pyannote[269].speaker SPEAKER_06
transcript.pyannote[269].start 2699.15346875
transcript.pyannote[269].end 2704.21596875
transcript.pyannote[270].speaker SPEAKER_06
transcript.pyannote[270].start 2705.29596875
transcript.pyannote[270].end 2709.53159375
transcript.pyannote[271].speaker SPEAKER_06
transcript.pyannote[271].start 2710.83096875
transcript.pyannote[271].end 2712.02909375
transcript.pyannote[272].speaker SPEAKER_06
transcript.pyannote[272].start 2712.34971875
transcript.pyannote[272].end 2718.08721875
transcript.pyannote[273].speaker SPEAKER_06
transcript.pyannote[273].start 2718.22221875
transcript.pyannote[273].end 2720.98971875
transcript.pyannote[274].speaker SPEAKER_06
transcript.pyannote[274].start 2721.46221875
transcript.pyannote[274].end 2726.47409375
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 2727.87471875
transcript.pyannote[275].end 2729.81534375
transcript.pyannote[276].speaker SPEAKER_06
transcript.pyannote[276].start 2730.33846875
transcript.pyannote[276].end 2732.59971875
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 2732.80221875
transcript.pyannote[277].end 2740.09221875
transcript.pyannote[278].speaker SPEAKER_06
transcript.pyannote[278].start 2740.41284375
transcript.pyannote[278].end 2743.02846875
transcript.pyannote[279].speaker SPEAKER_06
transcript.pyannote[279].start 2743.90596875
transcript.pyannote[279].end 2747.43284375
transcript.pyannote[280].speaker SPEAKER_06
transcript.pyannote[280].start 2748.09096875
transcript.pyannote[280].end 2753.71034375
transcript.pyannote[281].speaker SPEAKER_06
transcript.pyannote[281].start 2754.18284375
transcript.pyannote[281].end 2759.41409375
transcript.pyannote[282].speaker SPEAKER_06
transcript.pyannote[282].start 2759.86971875
transcript.pyannote[282].end 2761.84409375
transcript.pyannote[283].speaker SPEAKER_06
transcript.pyannote[283].start 2762.09721875
transcript.pyannote[283].end 2764.67909375
transcript.pyannote[284].speaker SPEAKER_06
transcript.pyannote[284].start 2765.28659375
transcript.pyannote[284].end 2768.20596875
transcript.pyannote[285].speaker SPEAKER_06
transcript.pyannote[285].start 2768.44221875
transcript.pyannote[285].end 2770.02846875
transcript.pyannote[286].speaker SPEAKER_06
transcript.pyannote[286].start 2770.85534375
transcript.pyannote[286].end 2772.27284375
transcript.pyannote[287].speaker SPEAKER_06
transcript.pyannote[287].start 2772.82971875
transcript.pyannote[287].end 2775.59721875
transcript.pyannote[288].speaker SPEAKER_06
transcript.pyannote[288].start 2775.91784375
transcript.pyannote[288].end 2778.02721875
transcript.pyannote[289].speaker SPEAKER_06
transcript.pyannote[289].start 2778.63471875
transcript.pyannote[289].end 2779.73159375
transcript.pyannote[290].speaker SPEAKER_06
transcript.pyannote[290].start 2779.83284375
transcript.pyannote[290].end 2781.90846875
transcript.pyannote[291].speaker SPEAKER_06
transcript.pyannote[291].start 2782.33034375
transcript.pyannote[291].end 2785.31721875
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 2785.48596875
transcript.pyannote[292].end 2787.61221875
transcript.pyannote[293].speaker SPEAKER_06
transcript.pyannote[293].start 2787.74721875
transcript.pyannote[293].end 2790.68346875
transcript.pyannote[294].speaker SPEAKER_22
transcript.pyannote[294].start 2790.68346875
transcript.pyannote[294].end 2790.70034375
transcript.pyannote[295].speaker SPEAKER_22
transcript.pyannote[295].start 2791.61159375
transcript.pyannote[295].end 2800.01534375
transcript.pyannote[296].speaker SPEAKER_22
transcript.pyannote[296].start 2801.39909375
transcript.pyannote[296].end 2806.54596875
transcript.pyannote[297].speaker SPEAKER_22
transcript.pyannote[297].start 2807.96346875
transcript.pyannote[297].end 2810.17409375
transcript.pyannote[298].speaker SPEAKER_24
transcript.pyannote[298].start 2818.22346875
transcript.pyannote[298].end 2824.09596875
transcript.pyannote[299].speaker SPEAKER_24
transcript.pyannote[299].start 2824.26471875
transcript.pyannote[299].end 2827.18409375
transcript.pyannote[300].speaker SPEAKER_24
transcript.pyannote[300].start 2828.17971875
transcript.pyannote[300].end 2830.42409375
transcript.pyannote[301].speaker SPEAKER_24
transcript.pyannote[301].start 2830.62659375
transcript.pyannote[301].end 2833.34346875
transcript.pyannote[302].speaker SPEAKER_24
transcript.pyannote[302].start 2833.69784375
transcript.pyannote[302].end 2836.48221875
transcript.pyannote[303].speaker SPEAKER_24
transcript.pyannote[303].start 2837.15721875
transcript.pyannote[303].end 2837.69721875
transcript.pyannote[304].speaker SPEAKER_24
transcript.pyannote[304].start 2838.06846875
transcript.pyannote[304].end 2841.22409375
transcript.pyannote[305].speaker SPEAKER_24
transcript.pyannote[305].start 2841.66284375
transcript.pyannote[305].end 2844.49784375
transcript.pyannote[306].speaker SPEAKER_24
transcript.pyannote[306].start 2845.08846875
transcript.pyannote[306].end 2848.54784375
transcript.pyannote[307].speaker SPEAKER_24
transcript.pyannote[307].start 2849.08784375
transcript.pyannote[307].end 2852.24346875
transcript.pyannote[308].speaker SPEAKER_24
transcript.pyannote[308].start 2852.59784375
transcript.pyannote[308].end 2860.56284375
transcript.pyannote[309].speaker SPEAKER_24
transcript.pyannote[309].start 2860.91721875
transcript.pyannote[309].end 2862.38534375
transcript.pyannote[310].speaker SPEAKER_24
transcript.pyannote[310].start 2863.53284375
transcript.pyannote[310].end 2864.20784375
transcript.pyannote[311].speaker SPEAKER_24
transcript.pyannote[311].start 2864.29221875
transcript.pyannote[311].end 2867.38034375
transcript.pyannote[312].speaker SPEAKER_24
transcript.pyannote[312].start 2867.73471875
transcript.pyannote[312].end 2872.61159375
transcript.pyannote[313].speaker SPEAKER_24
transcript.pyannote[313].start 2875.07534375
transcript.pyannote[313].end 2875.41284375
transcript.pyannote[314].speaker SPEAKER_24
transcript.pyannote[314].start 2875.73346875
transcript.pyannote[314].end 2877.72471875
transcript.pyannote[315].speaker SPEAKER_24
transcript.pyannote[315].start 2877.85971875
transcript.pyannote[315].end 2880.84659375
transcript.pyannote[316].speaker SPEAKER_24
transcript.pyannote[316].start 2880.93096875
transcript.pyannote[316].end 2883.31034375
transcript.pyannote[317].speaker SPEAKER_24
transcript.pyannote[317].start 2883.98534375
transcript.pyannote[317].end 2886.29721875
transcript.pyannote[318].speaker SPEAKER_24
transcript.pyannote[318].start 2886.71909375
transcript.pyannote[318].end 2889.80721875
transcript.pyannote[319].speaker SPEAKER_24
transcript.pyannote[319].start 2890.48221875
transcript.pyannote[319].end 2892.06846875
transcript.pyannote[320].speaker SPEAKER_24
transcript.pyannote[320].start 2892.23721875
transcript.pyannote[320].end 2899.54409375
transcript.pyannote[321].speaker SPEAKER_24
transcript.pyannote[321].start 2900.42159375
transcript.pyannote[321].end 2905.97346875
transcript.pyannote[322].speaker SPEAKER_24
transcript.pyannote[322].start 2906.20971875
transcript.pyannote[322].end 2911.15409375
transcript.pyannote[323].speaker SPEAKER_24
transcript.pyannote[323].start 2911.72784375
transcript.pyannote[323].end 2912.08221875
transcript.pyannote[324].speaker SPEAKER_24
transcript.pyannote[324].start 2912.65596875
transcript.pyannote[324].end 2915.30534375
transcript.pyannote[325].speaker SPEAKER_24
transcript.pyannote[325].start 2915.76096875
transcript.pyannote[325].end 2917.06034375
transcript.pyannote[326].speaker SPEAKER_24
transcript.pyannote[326].start 2917.46534375
transcript.pyannote[326].end 2918.51159375
transcript.pyannote[327].speaker SPEAKER_24
transcript.pyannote[327].start 2918.95034375
transcript.pyannote[327].end 2920.78971875
transcript.pyannote[328].speaker SPEAKER_24
transcript.pyannote[328].start 2921.48159375
transcript.pyannote[328].end 2928.73784375
transcript.pyannote[329].speaker SPEAKER_24
transcript.pyannote[329].start 2929.81784375
transcript.pyannote[329].end 2930.84721875
transcript.pyannote[330].speaker SPEAKER_24
transcript.pyannote[330].start 2931.38721875
transcript.pyannote[330].end 2932.29846875
transcript.pyannote[331].speaker SPEAKER_24
transcript.pyannote[331].start 2932.73721875
transcript.pyannote[331].end 2935.94346875
transcript.pyannote[332].speaker SPEAKER_24
transcript.pyannote[332].start 2937.51284375
transcript.pyannote[332].end 2939.06534375
transcript.pyannote[333].speaker SPEAKER_24
transcript.pyannote[333].start 2939.82471875
transcript.pyannote[333].end 2942.64284375
transcript.pyannote[334].speaker SPEAKER_24
transcript.pyannote[334].start 2943.13221875
transcript.pyannote[334].end 2961.37409375
transcript.pyannote[335].speaker SPEAKER_24
transcript.pyannote[335].start 2961.98159375
transcript.pyannote[335].end 2966.04846875
transcript.pyannote[336].speaker SPEAKER_24
transcript.pyannote[336].start 2966.36909375
transcript.pyannote[336].end 2970.28409375
transcript.pyannote[337].speaker SPEAKER_24
transcript.pyannote[337].start 2970.70596875
transcript.pyannote[337].end 2976.69659375
transcript.pyannote[338].speaker SPEAKER_24
transcript.pyannote[338].start 2977.32096875
transcript.pyannote[338].end 2979.26159375
transcript.pyannote[339].speaker SPEAKER_24
transcript.pyannote[339].start 2979.73409375
transcript.pyannote[339].end 2987.73284375
transcript.pyannote[340].speaker SPEAKER_24
transcript.pyannote[340].start 2988.81284375
transcript.pyannote[340].end 2989.36971875
transcript.pyannote[341].speaker SPEAKER_24
transcript.pyannote[341].start 2990.26409375
transcript.pyannote[341].end 2994.11159375
transcript.pyannote[342].speaker SPEAKER_24
transcript.pyannote[342].start 2994.33096875
transcript.pyannote[342].end 3000.54096875
transcript.pyannote[343].speaker SPEAKER_24
transcript.pyannote[343].start 3001.08096875
transcript.pyannote[343].end 3001.80659375
transcript.pyannote[344].speaker SPEAKER_24
transcript.pyannote[344].start 3001.97534375
transcript.pyannote[344].end 3006.53159375
transcript.pyannote[345].speaker SPEAKER_24
transcript.pyannote[345].start 3007.15596875
transcript.pyannote[345].end 3007.83096875
transcript.pyannote[346].speaker SPEAKER_24
transcript.pyannote[346].start 3008.08409375
transcript.pyannote[346].end 3009.75471875
transcript.pyannote[347].speaker SPEAKER_24
transcript.pyannote[347].start 3010.27784375
transcript.pyannote[347].end 3014.22659375
transcript.pyannote[348].speaker SPEAKER_24
transcript.pyannote[348].start 3014.26034375
transcript.pyannote[348].end 3025.17846875
transcript.pyannote[349].speaker SPEAKER_24
transcript.pyannote[349].start 3025.71846875
transcript.pyannote[349].end 3026.30909375
transcript.pyannote[350].speaker SPEAKER_24
transcript.pyannote[350].start 3027.01784375
transcript.pyannote[350].end 3028.68846875
transcript.pyannote[351].speaker SPEAKER_24
transcript.pyannote[351].start 3029.56596875
transcript.pyannote[351].end 3033.21096875
transcript.pyannote[352].speaker SPEAKER_24
transcript.pyannote[352].start 3033.59909375
transcript.pyannote[352].end 3035.20221875
transcript.pyannote[353].speaker SPEAKER_24
transcript.pyannote[353].start 3035.74221875
transcript.pyannote[353].end 3037.24409375
transcript.pyannote[354].speaker SPEAKER_24
transcript.pyannote[354].start 3038.23971875
transcript.pyannote[354].end 3043.57221875
transcript.pyannote[355].speaker SPEAKER_24
transcript.pyannote[355].start 3043.90971875
transcript.pyannote[355].end 3046.71096875
transcript.pyannote[356].speaker SPEAKER_24
transcript.pyannote[356].start 3047.48721875
transcript.pyannote[356].end 3055.38471875
transcript.pyannote[357].speaker SPEAKER_24
transcript.pyannote[357].start 3056.80221875
transcript.pyannote[357].end 3069.49221875
transcript.pyannote[358].speaker SPEAKER_24
transcript.pyannote[358].start 3069.94784375
transcript.pyannote[358].end 3071.21346875
transcript.pyannote[359].speaker SPEAKER_24
transcript.pyannote[359].start 3071.61846875
transcript.pyannote[359].end 3073.17096875
transcript.pyannote[360].speaker SPEAKER_24
transcript.pyannote[360].start 3075.21284375
transcript.pyannote[360].end 3076.91721875
transcript.pyannote[361].speaker SPEAKER_24
transcript.pyannote[361].start 3077.30534375
transcript.pyannote[361].end 3080.37659375
transcript.pyannote[362].speaker SPEAKER_24
transcript.pyannote[362].start 3081.01784375
transcript.pyannote[362].end 3084.52784375
transcript.pyannote[363].speaker SPEAKER_24
transcript.pyannote[363].start 3084.96659375
transcript.pyannote[363].end 3086.06346875
transcript.pyannote[364].speaker SPEAKER_24
transcript.pyannote[364].start 3086.62034375
transcript.pyannote[364].end 3090.09659375
transcript.pyannote[365].speaker SPEAKER_24
transcript.pyannote[365].start 3090.73784375
transcript.pyannote[365].end 3092.12159375
transcript.pyannote[366].speaker SPEAKER_24
transcript.pyannote[366].start 3092.57721875
transcript.pyannote[366].end 3095.14221875
transcript.pyannote[367].speaker SPEAKER_24
transcript.pyannote[367].start 3095.71596875
transcript.pyannote[367].end 3102.11159375
transcript.pyannote[368].speaker SPEAKER_24
transcript.pyannote[368].start 3102.70221875
transcript.pyannote[368].end 3105.53721875
transcript.pyannote[369].speaker SPEAKER_24
transcript.pyannote[369].start 3105.79034375
transcript.pyannote[369].end 3110.31284375
transcript.pyannote[370].speaker SPEAKER_24
transcript.pyannote[370].start 3110.97096875
transcript.pyannote[370].end 3114.51471875
transcript.pyannote[371].speaker SPEAKER_24
transcript.pyannote[371].start 3114.71721875
transcript.pyannote[371].end 3117.43409375
transcript.pyannote[372].speaker SPEAKER_24
transcript.pyannote[372].start 3117.87284375
transcript.pyannote[372].end 3119.84721875
transcript.pyannote[373].speaker SPEAKER_24
transcript.pyannote[373].start 3120.08346875
transcript.pyannote[373].end 3122.17596875
transcript.pyannote[374].speaker SPEAKER_24
transcript.pyannote[374].start 3122.63159375
transcript.pyannote[374].end 3125.36534375
transcript.pyannote[375].speaker SPEAKER_24
transcript.pyannote[375].start 3125.56784375
transcript.pyannote[375].end 3138.54471875
transcript.pyannote[376].speaker SPEAKER_22
transcript.pyannote[376].start 3138.54471875
transcript.pyannote[376].end 3138.59534375
transcript.pyannote[377].speaker SPEAKER_24
transcript.pyannote[377].start 3138.59534375
transcript.pyannote[377].end 3138.62909375
transcript.pyannote[378].speaker SPEAKER_22
transcript.pyannote[378].start 3138.62909375
transcript.pyannote[378].end 3161.46096875
transcript.pyannote[379].speaker SPEAKER_19
transcript.pyannote[379].start 3168.90284375
transcript.pyannote[379].end 3170.11784375
transcript.pyannote[380].speaker SPEAKER_19
transcript.pyannote[380].start 3170.86034375
transcript.pyannote[380].end 3171.41721875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 3172.76721875
transcript.pyannote[381].end 3175.65284375
transcript.pyannote[382].speaker SPEAKER_19
transcript.pyannote[382].start 3176.59784375
transcript.pyannote[382].end 3180.12471875
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 3180.20909375
transcript.pyannote[383].end 3181.71096875
transcript.pyannote[384].speaker SPEAKER_06
transcript.pyannote[384].start 3184.61346875
transcript.pyannote[384].end 3185.33909375
transcript.pyannote[385].speaker SPEAKER_19
transcript.pyannote[385].start 3187.29659375
transcript.pyannote[385].end 3189.10221875
transcript.pyannote[386].speaker SPEAKER_19
transcript.pyannote[386].start 3189.30471875
transcript.pyannote[386].end 3192.49409375
transcript.pyannote[387].speaker SPEAKER_19
transcript.pyannote[387].start 3193.40534375
transcript.pyannote[387].end 3197.20221875
transcript.pyannote[388].speaker SPEAKER_19
transcript.pyannote[388].start 3197.74221875
transcript.pyannote[388].end 3202.50096875
transcript.pyannote[389].speaker SPEAKER_19
transcript.pyannote[389].start 3202.85534375
transcript.pyannote[389].end 3204.03659375
transcript.pyannote[390].speaker SPEAKER_19
transcript.pyannote[390].start 3204.55971875
transcript.pyannote[390].end 3208.84596875
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 3210.21284375
transcript.pyannote[391].end 3212.01846875
transcript.pyannote[392].speaker SPEAKER_06
transcript.pyannote[392].start 3212.82846875
transcript.pyannote[392].end 3214.43159375
transcript.pyannote[393].speaker SPEAKER_06
transcript.pyannote[393].start 3214.97159375
transcript.pyannote[393].end 3217.77284375
transcript.pyannote[394].speaker SPEAKER_06
transcript.pyannote[394].start 3217.89096875
transcript.pyannote[394].end 3225.24846875
transcript.pyannote[395].speaker SPEAKER_06
transcript.pyannote[395].start 3225.95721875
transcript.pyannote[395].end 3227.54346875
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 3228.15096875
transcript.pyannote[396].end 3230.61471875
transcript.pyannote[397].speaker SPEAKER_06
transcript.pyannote[397].start 3231.34034375
transcript.pyannote[397].end 3243.47346875
transcript.pyannote[398].speaker SPEAKER_06
transcript.pyannote[398].start 3243.97971875
transcript.pyannote[398].end 3247.03409375
transcript.pyannote[399].speaker SPEAKER_06
transcript.pyannote[399].start 3247.62471875
transcript.pyannote[399].end 3250.39221875
transcript.pyannote[400].speaker SPEAKER_19
transcript.pyannote[400].start 3250.39221875
transcript.pyannote[400].end 3250.40909375
transcript.pyannote[401].speaker SPEAKER_19
transcript.pyannote[401].start 3251.20221875
transcript.pyannote[401].end 3251.75909375
transcript.pyannote[402].speaker SPEAKER_06
transcript.pyannote[402].start 3251.75909375
transcript.pyannote[402].end 3251.97846875
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 3251.97846875
transcript.pyannote[403].end 3252.77159375
transcript.pyannote[404].speaker SPEAKER_19
transcript.pyannote[404].start 3253.22721875
transcript.pyannote[404].end 3257.49659375
transcript.pyannote[405].speaker SPEAKER_06
transcript.pyannote[405].start 3259.53846875
transcript.pyannote[405].end 3261.00659375
transcript.pyannote[406].speaker SPEAKER_19
transcript.pyannote[406].start 3261.00659375
transcript.pyannote[406].end 3261.83346875
transcript.pyannote[407].speaker SPEAKER_06
transcript.pyannote[407].start 3261.83346875
transcript.pyannote[407].end 3261.86721875
transcript.pyannote[408].speaker SPEAKER_19
transcript.pyannote[408].start 3262.52534375
transcript.pyannote[408].end 3263.28471875
transcript.pyannote[409].speaker SPEAKER_19
transcript.pyannote[409].start 3263.58846875
transcript.pyannote[409].end 3264.22971875
transcript.pyannote[410].speaker SPEAKER_19
transcript.pyannote[410].start 3264.61784375
transcript.pyannote[410].end 3266.47409375
transcript.pyannote[411].speaker SPEAKER_06
transcript.pyannote[411].start 3268.53284375
transcript.pyannote[411].end 3272.36346875
transcript.pyannote[412].speaker SPEAKER_06
transcript.pyannote[412].start 3272.48159375
transcript.pyannote[412].end 3272.49846875
transcript.pyannote[413].speaker SPEAKER_19
transcript.pyannote[413].start 3272.49846875
transcript.pyannote[413].end 3285.50909375
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 3285.91409375
transcript.pyannote[414].end 3288.09096875
transcript.pyannote[415].speaker SPEAKER_06
transcript.pyannote[415].start 3290.03159375
transcript.pyannote[415].end 3301.97909375
transcript.pyannote[416].speaker SPEAKER_06
transcript.pyannote[416].start 3302.38409375
transcript.pyannote[416].end 3303.51471875
transcript.pyannote[417].speaker SPEAKER_06
transcript.pyannote[417].start 3304.20659375
transcript.pyannote[417].end 3306.85596875
transcript.pyannote[418].speaker SPEAKER_06
transcript.pyannote[418].start 3307.64909375
transcript.pyannote[418].end 3310.02846875
transcript.pyannote[419].speaker SPEAKER_06
transcript.pyannote[419].start 3310.46721875
transcript.pyannote[419].end 3312.40784375
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 3313.33596875
transcript.pyannote[420].end 3321.52034375
transcript.pyannote[421].speaker SPEAKER_06
transcript.pyannote[421].start 3323.14034375
transcript.pyannote[421].end 3324.03471875
transcript.pyannote[422].speaker SPEAKER_06
transcript.pyannote[422].start 3324.40596875
transcript.pyannote[422].end 3333.58596875
transcript.pyannote[423].speaker SPEAKER_19
transcript.pyannote[423].start 3333.21471875
transcript.pyannote[423].end 3337.87221875
transcript.pyannote[424].speaker SPEAKER_06
transcript.pyannote[424].start 3339.81284375
transcript.pyannote[424].end 3349.26284375
transcript.pyannote[425].speaker SPEAKER_06
transcript.pyannote[425].start 3349.92096875
transcript.pyannote[425].end 3355.97909375
transcript.pyannote[426].speaker SPEAKER_19
transcript.pyannote[426].start 3356.36721875
transcript.pyannote[426].end 3360.70409375
transcript.pyannote[427].speaker SPEAKER_19
transcript.pyannote[427].start 3360.87284375
transcript.pyannote[427].end 3363.30284375
transcript.pyannote[428].speaker SPEAKER_19
transcript.pyannote[428].start 3363.84284375
transcript.pyannote[428].end 3364.75409375
transcript.pyannote[429].speaker SPEAKER_19
transcript.pyannote[429].start 3365.24346875
transcript.pyannote[429].end 3366.01971875
transcript.pyannote[430].speaker SPEAKER_19
transcript.pyannote[430].start 3366.39096875
transcript.pyannote[430].end 3367.16721875
transcript.pyannote[431].speaker SPEAKER_19
transcript.pyannote[431].start 3367.60596875
transcript.pyannote[431].end 3380.83596875
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 3381.34221875
transcript.pyannote[432].end 3382.96221875
transcript.pyannote[433].speaker SPEAKER_06
transcript.pyannote[433].start 3382.96221875
transcript.pyannote[433].end 3384.59909375
transcript.pyannote[434].speaker SPEAKER_06
transcript.pyannote[434].start 3385.42596875
transcript.pyannote[434].end 3393.05346875
transcript.pyannote[435].speaker SPEAKER_06
transcript.pyannote[435].start 3393.28971875
transcript.pyannote[435].end 3402.52034375
transcript.pyannote[436].speaker SPEAKER_06
transcript.pyannote[436].start 3402.82409375
transcript.pyannote[436].end 3405.55784375
transcript.pyannote[437].speaker SPEAKER_19
transcript.pyannote[437].start 3406.23284375
transcript.pyannote[437].end 3407.59971875
transcript.pyannote[438].speaker SPEAKER_19
transcript.pyannote[438].start 3408.24096875
transcript.pyannote[438].end 3414.68721875
transcript.pyannote[439].speaker SPEAKER_19
transcript.pyannote[439].start 3414.97409375
transcript.pyannote[439].end 3419.07471875
transcript.pyannote[440].speaker SPEAKER_19
transcript.pyannote[440].start 3419.19284375
transcript.pyannote[440].end 3425.36909375
transcript.pyannote[441].speaker SPEAKER_19
transcript.pyannote[441].start 3425.65596875
transcript.pyannote[441].end 3427.44471875
transcript.pyannote[442].speaker SPEAKER_19
transcript.pyannote[442].start 3427.73159375
transcript.pyannote[442].end 3434.61659375
transcript.pyannote[443].speaker SPEAKER_19
transcript.pyannote[443].start 3435.47721875
transcript.pyannote[443].end 3435.96659375
transcript.pyannote[444].speaker SPEAKER_06
transcript.pyannote[444].start 3435.96659375
transcript.pyannote[444].end 3438.48096875
transcript.pyannote[445].speaker SPEAKER_06
transcript.pyannote[445].start 3439.18971875
transcript.pyannote[445].end 3442.58159375
transcript.pyannote[446].speaker SPEAKER_06
transcript.pyannote[446].start 3443.03721875
transcript.pyannote[446].end 3445.70346875
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 3446.37846875
transcript.pyannote[447].end 3452.06534375
transcript.pyannote[448].speaker SPEAKER_06
transcript.pyannote[448].start 3452.43659375
transcript.pyannote[448].end 3453.58409375
transcript.pyannote[449].speaker SPEAKER_19
transcript.pyannote[449].start 3453.58409375
transcript.pyannote[449].end 3457.00971875
transcript.pyannote[450].speaker SPEAKER_19
transcript.pyannote[450].start 3457.56659375
transcript.pyannote[450].end 3458.35971875
transcript.pyannote[451].speaker SPEAKER_06
transcript.pyannote[451].start 3458.35971875
transcript.pyannote[451].end 3458.54534375
transcript.pyannote[452].speaker SPEAKER_19
transcript.pyannote[452].start 3458.54534375
transcript.pyannote[452].end 3458.64659375
transcript.pyannote[453].speaker SPEAKER_06
transcript.pyannote[453].start 3458.64659375
transcript.pyannote[453].end 3461.29596875
transcript.pyannote[454].speaker SPEAKER_19
transcript.pyannote[454].start 3459.45659375
transcript.pyannote[454].end 3460.13159375
transcript.pyannote[455].speaker SPEAKER_19
transcript.pyannote[455].start 3461.34659375
transcript.pyannote[455].end 3462.27471875
transcript.pyannote[456].speaker SPEAKER_19
transcript.pyannote[456].start 3462.69659375
transcript.pyannote[456].end 3466.17284375
transcript.pyannote[457].speaker SPEAKER_19
transcript.pyannote[457].start 3466.56096875
transcript.pyannote[457].end 3469.02471875
transcript.pyannote[458].speaker SPEAKER_19
transcript.pyannote[458].start 3469.14284375
transcript.pyannote[458].end 3469.93596875
transcript.pyannote[459].speaker SPEAKER_19
transcript.pyannote[459].start 3470.34096875
transcript.pyannote[459].end 3473.09159375
transcript.pyannote[460].speaker SPEAKER_06
transcript.pyannote[460].start 3475.11659375
transcript.pyannote[460].end 3480.75284375
transcript.pyannote[461].speaker SPEAKER_19
transcript.pyannote[461].start 3477.98534375
transcript.pyannote[461].end 3479.30159375
transcript.pyannote[462].speaker SPEAKER_19
transcript.pyannote[462].start 3479.97659375
transcript.pyannote[462].end 3480.51659375
transcript.pyannote[463].speaker SPEAKER_19
transcript.pyannote[463].start 3480.88784375
transcript.pyannote[463].end 3492.66659375
transcript.pyannote[464].speaker SPEAKER_19
transcript.pyannote[464].start 3493.07159375
transcript.pyannote[464].end 3496.61534375
transcript.pyannote[465].speaker SPEAKER_19
transcript.pyannote[465].start 3497.71221875
transcript.pyannote[465].end 3498.97784375
transcript.pyannote[466].speaker SPEAKER_06
transcript.pyannote[466].start 3498.97784375
transcript.pyannote[466].end 3498.99471875
transcript.pyannote[467].speaker SPEAKER_19
transcript.pyannote[467].start 3499.48409375
transcript.pyannote[467].end 3499.97346875
transcript.pyannote[468].speaker SPEAKER_06
transcript.pyannote[468].start 3499.97346875
transcript.pyannote[468].end 3512.07284375
transcript.pyannote[469].speaker SPEAKER_06
transcript.pyannote[469].start 3512.62971875
transcript.pyannote[469].end 3519.63284375
transcript.pyannote[470].speaker SPEAKER_19
transcript.pyannote[470].start 3519.63284375
transcript.pyannote[470].end 3525.87659375
transcript.pyannote[471].speaker SPEAKER_19
transcript.pyannote[471].start 3526.68659375
transcript.pyannote[471].end 3539.78159375
transcript.pyannote[472].speaker SPEAKER_19
transcript.pyannote[472].start 3540.54096875
transcript.pyannote[472].end 3540.96284375
transcript.pyannote[473].speaker SPEAKER_06
transcript.pyannote[473].start 3540.96284375
transcript.pyannote[473].end 3548.57346875
transcript.pyannote[474].speaker SPEAKER_06
transcript.pyannote[474].start 3548.92784375
transcript.pyannote[474].end 3552.23534375
transcript.pyannote[475].speaker SPEAKER_06
transcript.pyannote[475].start 3552.47159375
transcript.pyannote[475].end 3557.44971875
transcript.pyannote[476].speaker SPEAKER_19
transcript.pyannote[476].start 3556.45409375
transcript.pyannote[476].end 3557.23034375
transcript.pyannote[477].speaker SPEAKER_19
transcript.pyannote[477].start 3557.44971875
transcript.pyannote[477].end 3557.48346875
transcript.pyannote[478].speaker SPEAKER_06
transcript.pyannote[478].start 3557.48346875
transcript.pyannote[478].end 3557.50034375
transcript.pyannote[479].speaker SPEAKER_19
transcript.pyannote[479].start 3557.50034375
transcript.pyannote[479].end 3557.55096875
transcript.pyannote[480].speaker SPEAKER_19
transcript.pyannote[480].start 3557.56784375
transcript.pyannote[480].end 3557.97284375
transcript.pyannote[481].speaker SPEAKER_06
transcript.pyannote[481].start 3558.31034375
transcript.pyannote[481].end 3561.65159375
transcript.pyannote[482].speaker SPEAKER_19
transcript.pyannote[482].start 3558.36096875
transcript.pyannote[482].end 3558.98534375
transcript.pyannote[483].speaker SPEAKER_19
transcript.pyannote[483].start 3561.65159375
transcript.pyannote[483].end 3567.13596875
transcript.pyannote[484].speaker SPEAKER_19
transcript.pyannote[484].start 3567.45659375
transcript.pyannote[484].end 3578.10471875
transcript.pyannote[485].speaker SPEAKER_19
transcript.pyannote[485].start 3578.23971875
transcript.pyannote[485].end 3581.86784375
transcript.pyannote[486].speaker SPEAKER_19
transcript.pyannote[486].start 3582.17159375
transcript.pyannote[486].end 3584.33159375
transcript.pyannote[487].speaker SPEAKER_19
transcript.pyannote[487].start 3584.51721875
transcript.pyannote[487].end 3586.77846875
transcript.pyannote[488].speaker SPEAKER_06
transcript.pyannote[488].start 3588.01034375
transcript.pyannote[488].end 3593.02221875
transcript.pyannote[489].speaker SPEAKER_06
transcript.pyannote[489].start 3593.83221875
transcript.pyannote[489].end 3594.49034375
transcript.pyannote[490].speaker SPEAKER_06
transcript.pyannote[490].start 3594.76034375
transcript.pyannote[490].end 3602.26971875
transcript.pyannote[491].speaker SPEAKER_06
transcript.pyannote[491].start 3602.72534375
transcript.pyannote[491].end 3605.15534375
transcript.pyannote[492].speaker SPEAKER_06
transcript.pyannote[492].start 3605.59409375
transcript.pyannote[492].end 3610.94346875
transcript.pyannote[493].speaker SPEAKER_06
transcript.pyannote[493].start 3611.58471875
transcript.pyannote[493].end 3613.03596875
transcript.pyannote[494].speaker SPEAKER_06
transcript.pyannote[494].start 3613.71096875
transcript.pyannote[494].end 3619.56659375
transcript.pyannote[495].speaker SPEAKER_19
transcript.pyannote[495].start 3619.70159375
transcript.pyannote[495].end 3634.75409375
transcript.pyannote[496].speaker SPEAKER_19
transcript.pyannote[496].start 3635.41221875
transcript.pyannote[496].end 3655.51034375
transcript.pyannote[497].speaker SPEAKER_19
transcript.pyannote[497].start 3656.15159375
transcript.pyannote[497].end 3657.97409375
transcript.pyannote[498].speaker SPEAKER_06
transcript.pyannote[498].start 3657.97409375
transcript.pyannote[498].end 3663.64409375
transcript.pyannote[499].speaker SPEAKER_06
transcript.pyannote[499].start 3664.09971875
transcript.pyannote[499].end 3669.19596875
transcript.pyannote[500].speaker SPEAKER_06
transcript.pyannote[500].start 3669.36471875
transcript.pyannote[500].end 3671.91284375
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 3672.60471875
transcript.pyannote[501].end 3677.22846875
transcript.pyannote[502].speaker SPEAKER_19
transcript.pyannote[502].start 3677.90346875
transcript.pyannote[502].end 3685.49721875
transcript.pyannote[503].speaker SPEAKER_19
transcript.pyannote[503].start 3686.89784375
transcript.pyannote[503].end 3686.91471875
transcript.pyannote[504].speaker SPEAKER_06
transcript.pyannote[504].start 3686.91471875
transcript.pyannote[504].end 3695.16659375
transcript.pyannote[505].speaker SPEAKER_06
transcript.pyannote[505].start 3695.70659375
transcript.pyannote[505].end 3703.28346875
transcript.pyannote[506].speaker SPEAKER_06
transcript.pyannote[506].start 3703.33409375
transcript.pyannote[506].end 3713.13846875
transcript.pyannote[507].speaker SPEAKER_00
transcript.pyannote[507].start 3709.08846875
transcript.pyannote[507].end 3709.66221875
transcript.pyannote[508].speaker SPEAKER_06
transcript.pyannote[508].start 3714.08346875
transcript.pyannote[508].end 3721.40721875
transcript.pyannote[509].speaker SPEAKER_19
transcript.pyannote[509].start 3721.71096875
transcript.pyannote[509].end 3728.46096875
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 3728.79846875
transcript.pyannote[510].end 3750.26346875
transcript.pyannote[511].speaker SPEAKER_19
transcript.pyannote[511].start 3750.61784375
transcript.pyannote[511].end 3752.45721875
transcript.pyannote[512].speaker SPEAKER_19
transcript.pyannote[512].start 3752.84534375
transcript.pyannote[512].end 3756.77721875
transcript.pyannote[513].speaker SPEAKER_19
transcript.pyannote[513].start 3757.01346875
transcript.pyannote[513].end 3759.57846875
transcript.pyannote[514].speaker SPEAKER_19
transcript.pyannote[514].start 3760.55721875
transcript.pyannote[514].end 3765.50159375
transcript.pyannote[515].speaker SPEAKER_19
transcript.pyannote[515].start 3766.02471875
transcript.pyannote[515].end 3806.10284375
transcript.pyannote[516].speaker SPEAKER_19
transcript.pyannote[516].start 3806.44034375
transcript.pyannote[516].end 3806.47409375
transcript.pyannote[517].speaker SPEAKER_06
transcript.pyannote[517].start 3806.47409375
transcript.pyannote[517].end 3813.32534375
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 3813.67971875
transcript.pyannote[518].end 3826.35284375
transcript.pyannote[519].speaker SPEAKER_19
transcript.pyannote[519].start 3823.51784375
transcript.pyannote[519].end 3824.02409375
transcript.pyannote[520].speaker SPEAKER_19
transcript.pyannote[520].start 3825.00284375
transcript.pyannote[520].end 3826.25159375
transcript.pyannote[521].speaker SPEAKER_19
transcript.pyannote[521].start 3826.35284375
transcript.pyannote[521].end 3826.45409375
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 3826.45409375
transcript.pyannote[522].end 3826.57221875
transcript.pyannote[523].speaker SPEAKER_19
transcript.pyannote[523].start 3826.57221875
transcript.pyannote[523].end 3826.65659375
transcript.pyannote[524].speaker SPEAKER_06
transcript.pyannote[524].start 3826.65659375
transcript.pyannote[524].end 3826.67346875
transcript.pyannote[525].speaker SPEAKER_19
transcript.pyannote[525].start 3828.05721875
transcript.pyannote[525].end 3833.37284375
transcript.pyannote[526].speaker SPEAKER_19
transcript.pyannote[526].start 3833.96346875
transcript.pyannote[526].end 3873.51846875
transcript.pyannote[527].speaker SPEAKER_06
transcript.pyannote[527].start 3873.83909375
transcript.pyannote[527].end 3873.94034375
transcript.pyannote[528].speaker SPEAKER_22
transcript.pyannote[528].start 3873.94034375
transcript.pyannote[528].end 3874.29471875
transcript.pyannote[529].speaker SPEAKER_06
transcript.pyannote[529].start 3874.29471875
transcript.pyannote[529].end 3875.03721875
transcript.pyannote[530].speaker SPEAKER_22
transcript.pyannote[530].start 3875.03721875
transcript.pyannote[530].end 3876.35346875
transcript.pyannote[531].speaker SPEAKER_19
transcript.pyannote[531].start 3876.35346875
transcript.pyannote[531].end 3876.96096875
transcript.pyannote[532].speaker SPEAKER_22
transcript.pyannote[532].start 3876.69096875
transcript.pyannote[532].end 3880.01534375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 3892.53659375
transcript.pyannote[533].end 3894.25784375
transcript.pyannote[534].speaker SPEAKER_02
transcript.pyannote[534].start 3894.51096875
transcript.pyannote[534].end 3894.56159375
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 3894.56159375
transcript.pyannote[535].end 3894.98346875
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 3894.98346875
transcript.pyannote[536].end 3895.18596875
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 3902.35784375
transcript.pyannote[537].end 3902.37471875
transcript.pyannote[538].speaker SPEAKER_06
transcript.pyannote[538].start 3902.37471875
transcript.pyannote[538].end 3903.03284375
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 3903.03284375
transcript.pyannote[539].end 3903.10034375
transcript.pyannote[540].speaker SPEAKER_06
transcript.pyannote[540].start 3903.10034375
transcript.pyannote[540].end 3903.11721875
transcript.pyannote[541].speaker SPEAKER_02
transcript.pyannote[541].start 3903.11721875
transcript.pyannote[541].end 3903.13409375
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 3903.50534375
transcript.pyannote[542].end 3904.23096875
transcript.pyannote[543].speaker SPEAKER_02
transcript.pyannote[543].start 3904.72034375
transcript.pyannote[543].end 3905.29409375
transcript.pyannote[544].speaker SPEAKER_02
transcript.pyannote[544].start 3906.00284375
transcript.pyannote[544].end 3906.98159375
transcript.pyannote[545].speaker SPEAKER_02
transcript.pyannote[545].start 3907.42034375
transcript.pyannote[545].end 3911.11596875
transcript.pyannote[546].speaker SPEAKER_06
transcript.pyannote[546].start 3914.01846875
transcript.pyannote[546].end 3917.78159375
transcript.pyannote[547].speaker SPEAKER_06
transcript.pyannote[547].start 3917.96721875
transcript.pyannote[547].end 3931.18034375
transcript.pyannote[548].speaker SPEAKER_06
transcript.pyannote[548].start 3931.77096875
transcript.pyannote[548].end 3939.58409375
transcript.pyannote[549].speaker SPEAKER_02
transcript.pyannote[549].start 3939.93846875
transcript.pyannote[549].end 3943.41471875
transcript.pyannote[550].speaker SPEAKER_02
transcript.pyannote[550].start 3943.76909375
transcript.pyannote[550].end 3951.61596875
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 3945.94596875
transcript.pyannote[551].end 3946.31721875
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 3952.40909375
transcript.pyannote[552].end 3952.83096875
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 3953.25284375
transcript.pyannote[553].end 3954.48471875
transcript.pyannote[554].speaker SPEAKER_02
transcript.pyannote[554].start 3954.97409375
transcript.pyannote[554].end 3959.26034375
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 3959.69909375
transcript.pyannote[555].end 3961.74096875
transcript.pyannote[556].speaker SPEAKER_02
transcript.pyannote[556].start 3962.11221875
transcript.pyannote[556].end 3964.18784375
transcript.pyannote[557].speaker SPEAKER_02
transcript.pyannote[557].start 3965.36909375
transcript.pyannote[557].end 3966.02721875
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 3966.02721875
transcript.pyannote[558].end 3966.14534375
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 3966.14534375
transcript.pyannote[559].end 3966.43221875
transcript.pyannote[560].speaker SPEAKER_06
transcript.pyannote[560].start 3966.43221875
transcript.pyannote[560].end 3967.47846875
transcript.pyannote[561].speaker SPEAKER_06
transcript.pyannote[561].start 3968.35596875
transcript.pyannote[561].end 3979.96596875
transcript.pyannote[562].speaker SPEAKER_02
transcript.pyannote[562].start 3972.47346875
transcript.pyannote[562].end 3973.50284375
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 3979.96596875
transcript.pyannote[563].end 3991.76159375
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 3984.82596875
transcript.pyannote[564].end 3985.29846875
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 3992.25096875
transcript.pyannote[565].end 4000.18221875
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 4000.55346875
transcript.pyannote[566].end 4001.48159375
transcript.pyannote[567].speaker SPEAKER_02
transcript.pyannote[567].start 4001.81909375
transcript.pyannote[567].end 4003.67534375
transcript.pyannote[568].speaker SPEAKER_02
transcript.pyannote[568].start 4004.26596875
transcript.pyannote[568].end 4017.10784375
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 4017.39471875
transcript.pyannote[569].end 4018.77846875
transcript.pyannote[570].speaker SPEAKER_02
transcript.pyannote[570].start 4020.11159375
transcript.pyannote[570].end 4021.29284375
transcript.pyannote[571].speaker SPEAKER_02
transcript.pyannote[571].start 4021.47846875
transcript.pyannote[571].end 4025.39346875
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 4025.64659375
transcript.pyannote[572].end 4026.50721875
transcript.pyannote[573].speaker SPEAKER_02
transcript.pyannote[573].start 4026.97971875
transcript.pyannote[573].end 4031.02971875
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 4031.80596875
transcript.pyannote[574].end 4032.44721875
transcript.pyannote[575].speaker SPEAKER_02
transcript.pyannote[575].start 4032.95346875
transcript.pyannote[575].end 4034.55659375
transcript.pyannote[576].speaker SPEAKER_02
transcript.pyannote[576].start 4035.85596875
transcript.pyannote[576].end 4036.39596875
transcript.pyannote[577].speaker SPEAKER_02
transcript.pyannote[577].start 4037.15534375
transcript.pyannote[577].end 4038.70784375
transcript.pyannote[578].speaker SPEAKER_02
transcript.pyannote[578].start 4039.48409375
transcript.pyannote[578].end 4041.93096875
transcript.pyannote[579].speaker SPEAKER_02
transcript.pyannote[579].start 4043.21346875
transcript.pyannote[579].end 4048.91721875
transcript.pyannote[580].speaker SPEAKER_02
transcript.pyannote[580].start 4049.54159375
transcript.pyannote[580].end 4055.39721875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 4056.12284375
transcript.pyannote[581].end 4084.35471875
transcript.pyannote[582].speaker SPEAKER_06
transcript.pyannote[582].start 4085.13096875
transcript.pyannote[582].end 4090.68284375
transcript.pyannote[583].speaker SPEAKER_06
transcript.pyannote[583].start 4090.93596875
transcript.pyannote[583].end 4096.57221875
transcript.pyannote[584].speaker SPEAKER_06
transcript.pyannote[584].start 4096.99409375
transcript.pyannote[584].end 4102.56284375
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 4102.95096875
transcript.pyannote[585].end 4103.96346875
transcript.pyannote[586].speaker SPEAKER_02
transcript.pyannote[586].start 4103.96346875
transcript.pyannote[586].end 4104.16596875
transcript.pyannote[587].speaker SPEAKER_02
transcript.pyannote[587].start 4104.87471875
transcript.pyannote[587].end 4105.06034375
transcript.pyannote[588].speaker SPEAKER_06
transcript.pyannote[588].start 4105.06034375
transcript.pyannote[588].end 4105.09409375
transcript.pyannote[589].speaker SPEAKER_06
transcript.pyannote[589].start 4105.43159375
transcript.pyannote[589].end 4105.44846875
transcript.pyannote[590].speaker SPEAKER_02
transcript.pyannote[590].start 4105.44846875
transcript.pyannote[590].end 4108.40159375
transcript.pyannote[591].speaker SPEAKER_02
transcript.pyannote[591].start 4109.73471875
transcript.pyannote[591].end 4122.93096875
transcript.pyannote[592].speaker SPEAKER_02
transcript.pyannote[592].start 4123.30221875
transcript.pyannote[592].end 4129.39409375
transcript.pyannote[593].speaker SPEAKER_02
transcript.pyannote[593].start 4129.95096875
transcript.pyannote[593].end 4137.83159375
transcript.pyannote[594].speaker SPEAKER_02
transcript.pyannote[594].start 4138.05096875
transcript.pyannote[594].end 4138.55721875
transcript.pyannote[595].speaker SPEAKER_02
transcript.pyannote[595].start 4138.67534375
transcript.pyannote[595].end 4140.09284375
transcript.pyannote[596].speaker SPEAKER_02
transcript.pyannote[596].start 4140.14346875
transcript.pyannote[596].end 4147.14659375
transcript.pyannote[597].speaker SPEAKER_02
transcript.pyannote[597].start 4147.61909375
transcript.pyannote[597].end 4148.68221875
transcript.pyannote[598].speaker SPEAKER_02
transcript.pyannote[598].start 4149.07034375
transcript.pyannote[598].end 4157.18721875
transcript.pyannote[599].speaker SPEAKER_02
transcript.pyannote[599].start 4157.71034375
transcript.pyannote[599].end 4160.27534375
transcript.pyannote[600].speaker SPEAKER_02
transcript.pyannote[600].start 4160.66346875
transcript.pyannote[600].end 4161.65909375
transcript.pyannote[601].speaker SPEAKER_02
transcript.pyannote[601].start 4161.82784375
transcript.pyannote[601].end 4162.38471875
transcript.pyannote[602].speaker SPEAKER_02
transcript.pyannote[602].start 4162.65471875
transcript.pyannote[602].end 4163.61659375
transcript.pyannote[603].speaker SPEAKER_02
transcript.pyannote[603].start 4164.20721875
transcript.pyannote[603].end 4165.38846875
transcript.pyannote[604].speaker SPEAKER_02
transcript.pyannote[604].start 4166.13096875
transcript.pyannote[604].end 4167.71721875
transcript.pyannote[605].speaker SPEAKER_06
transcript.pyannote[605].start 4167.71721875
transcript.pyannote[605].end 4178.61846875
transcript.pyannote[606].speaker SPEAKER_02
transcript.pyannote[606].start 4178.61846875
transcript.pyannote[606].end 4202.26034375
transcript.pyannote[607].speaker SPEAKER_02
transcript.pyannote[607].start 4202.59784375
transcript.pyannote[607].end 4202.69909375
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 4202.69909375
transcript.pyannote[608].end 4208.80784375
transcript.pyannote[609].speaker SPEAKER_02
transcript.pyannote[609].start 4208.80784375
transcript.pyannote[609].end 4220.70471875
transcript.pyannote[610].speaker SPEAKER_02
transcript.pyannote[610].start 4221.02534375
transcript.pyannote[610].end 4223.06721875
transcript.pyannote[611].speaker SPEAKER_02
transcript.pyannote[611].start 4223.13471875
transcript.pyannote[611].end 4227.40409375
transcript.pyannote[612].speaker SPEAKER_06
transcript.pyannote[612].start 4228.85534375
transcript.pyannote[612].end 4233.86721875
transcript.pyannote[613].speaker SPEAKER_02
transcript.pyannote[613].start 4233.73221875
transcript.pyannote[613].end 4235.62221875
transcript.pyannote[614].speaker SPEAKER_06
transcript.pyannote[614].start 4235.62221875
transcript.pyannote[614].end 4236.16221875
transcript.pyannote[615].speaker SPEAKER_06
transcript.pyannote[615].start 4236.36471875
transcript.pyannote[615].end 4240.76909375
transcript.pyannote[616].speaker SPEAKER_02
transcript.pyannote[616].start 4236.66846875
transcript.pyannote[616].end 4237.17471875
transcript.pyannote[617].speaker SPEAKER_06
transcript.pyannote[617].start 4241.29221875
transcript.pyannote[617].end 4244.39721875
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 4244.39721875
transcript.pyannote[618].end 4244.56596875
transcript.pyannote[619].speaker SPEAKER_06
transcript.pyannote[619].start 4244.56596875
transcript.pyannote[619].end 4244.97096875
transcript.pyannote[620].speaker SPEAKER_02
transcript.pyannote[620].start 4244.97096875
transcript.pyannote[620].end 4264.52909375
transcript.pyannote[621].speaker SPEAKER_06
transcript.pyannote[621].start 4264.52909375
transcript.pyannote[621].end 4264.61346875
transcript.pyannote[622].speaker SPEAKER_06
transcript.pyannote[622].start 4264.91721875
transcript.pyannote[622].end 4264.93409375
transcript.pyannote[623].speaker SPEAKER_02
transcript.pyannote[623].start 4264.93409375
transcript.pyannote[623].end 4265.03534375
transcript.pyannote[624].speaker SPEAKER_06
transcript.pyannote[624].start 4265.03534375
transcript.pyannote[624].end 4266.90846875
transcript.pyannote[625].speaker SPEAKER_02
transcript.pyannote[625].start 4265.91284375
transcript.pyannote[625].end 4265.94659375
transcript.pyannote[626].speaker SPEAKER_15
transcript.pyannote[626].start 4265.94659375
transcript.pyannote[626].end 4267.36409375
transcript.pyannote[627].speaker SPEAKER_15
transcript.pyannote[627].start 4268.29221875
transcript.pyannote[627].end 4287.39471875
transcript.pyannote[628].speaker SPEAKER_02
transcript.pyannote[628].start 4287.39471875
transcript.pyannote[628].end 4287.95159375
transcript.pyannote[629].speaker SPEAKER_02
transcript.pyannote[629].start 4288.00221875
transcript.pyannote[629].end 4288.03596875
transcript.pyannote[630].speaker SPEAKER_02
transcript.pyannote[630].start 4288.06971875
transcript.pyannote[630].end 4291.74846875
transcript.pyannote[631].speaker SPEAKER_18
transcript.pyannote[631].start 4291.74846875
transcript.pyannote[631].end 4291.86659375
transcript.pyannote[632].speaker SPEAKER_02
transcript.pyannote[632].start 4291.86659375
transcript.pyannote[632].end 4291.91721875
transcript.pyannote[633].speaker SPEAKER_02
transcript.pyannote[633].start 4292.06909375
transcript.pyannote[633].end 4296.84471875
transcript.pyannote[634].speaker SPEAKER_02
transcript.pyannote[634].start 4297.75596875
transcript.pyannote[634].end 4297.78971875
transcript.pyannote[635].speaker SPEAKER_15
transcript.pyannote[635].start 4297.78971875
transcript.pyannote[635].end 4304.67471875
transcript.pyannote[636].speaker SPEAKER_02
transcript.pyannote[636].start 4304.67471875
transcript.pyannote[636].end 4309.92284375
transcript.pyannote[637].speaker SPEAKER_02
transcript.pyannote[637].start 4310.36159375
transcript.pyannote[637].end 4310.93534375
transcript.pyannote[638].speaker SPEAKER_02
transcript.pyannote[638].start 4311.30659375
transcript.pyannote[638].end 4312.43721875
transcript.pyannote[639].speaker SPEAKER_02
transcript.pyannote[639].start 4312.79159375
transcript.pyannote[639].end 4315.18784375
transcript.pyannote[640].speaker SPEAKER_02
transcript.pyannote[640].start 4315.82909375
transcript.pyannote[640].end 4323.69284375
transcript.pyannote[641].speaker SPEAKER_02
transcript.pyannote[641].start 4323.96284375
transcript.pyannote[641].end 4326.46034375
transcript.pyannote[642].speaker SPEAKER_02
transcript.pyannote[642].start 4326.56159375
transcript.pyannote[642].end 4336.18034375
transcript.pyannote[643].speaker SPEAKER_02
transcript.pyannote[643].start 4336.73721875
transcript.pyannote[643].end 4340.26409375
transcript.pyannote[644].speaker SPEAKER_02
transcript.pyannote[644].start 4340.82096875
transcript.pyannote[644].end 4342.30596875
transcript.pyannote[645].speaker SPEAKER_02
transcript.pyannote[645].start 4342.66034375
transcript.pyannote[645].end 4343.58846875
transcript.pyannote[646].speaker SPEAKER_02
transcript.pyannote[646].start 4343.92596875
transcript.pyannote[646].end 4345.79909375
transcript.pyannote[647].speaker SPEAKER_02
transcript.pyannote[647].start 4346.27159375
transcript.pyannote[647].end 4348.36409375
transcript.pyannote[648].speaker SPEAKER_02
transcript.pyannote[648].start 4348.76909375
transcript.pyannote[648].end 4351.51971875
transcript.pyannote[649].speaker SPEAKER_06
transcript.pyannote[649].start 4351.51971875
transcript.pyannote[649].end 4351.53659375
transcript.pyannote[650].speaker SPEAKER_06
transcript.pyannote[650].start 4352.32971875
transcript.pyannote[650].end 4356.86909375
transcript.pyannote[651].speaker SPEAKER_06
transcript.pyannote[651].start 4357.13909375
transcript.pyannote[651].end 4361.81346875
transcript.pyannote[652].speaker SPEAKER_06
transcript.pyannote[652].start 4362.28596875
transcript.pyannote[652].end 4366.48784375
transcript.pyannote[653].speaker SPEAKER_06
transcript.pyannote[653].start 4367.04471875
transcript.pyannote[653].end 4372.36034375
transcript.pyannote[654].speaker SPEAKER_02
transcript.pyannote[654].start 4372.29284375
transcript.pyannote[654].end 4372.37721875
transcript.pyannote[655].speaker SPEAKER_06
transcript.pyannote[655].start 4372.37721875
transcript.pyannote[655].end 4372.42784375
transcript.pyannote[656].speaker SPEAKER_02
transcript.pyannote[656].start 4372.42784375
transcript.pyannote[656].end 4381.77659375
transcript.pyannote[657].speaker SPEAKER_02
transcript.pyannote[657].start 4382.14784375
transcript.pyannote[657].end 4389.20159375
transcript.pyannote[658].speaker SPEAKER_18
transcript.pyannote[658].start 4389.20159375
transcript.pyannote[658].end 4389.48846875
transcript.pyannote[659].speaker SPEAKER_02
transcript.pyannote[659].start 4389.48846875
transcript.pyannote[659].end 4397.38596875
transcript.pyannote[660].speaker SPEAKER_18
transcript.pyannote[660].start 4390.02846875
transcript.pyannote[660].end 4391.09159375
transcript.pyannote[661].speaker SPEAKER_02
transcript.pyannote[661].start 4397.55471875
transcript.pyannote[661].end 4399.05659375
transcript.pyannote[662].speaker SPEAKER_06
transcript.pyannote[662].start 4400.25471875
transcript.pyannote[662].end 4401.04784375
transcript.pyannote[663].speaker SPEAKER_06
transcript.pyannote[663].start 4401.18284375
transcript.pyannote[663].end 4415.61096875
transcript.pyannote[664].speaker SPEAKER_18
transcript.pyannote[664].start 4415.61096875
transcript.pyannote[664].end 4415.62784375
transcript.pyannote[665].speaker SPEAKER_06
transcript.pyannote[665].start 4415.62784375
transcript.pyannote[665].end 4415.64471875
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 4415.64471875
transcript.pyannote[666].end 4415.71221875
transcript.pyannote[667].speaker SPEAKER_06
transcript.pyannote[667].start 4415.71221875
transcript.pyannote[667].end 4416.97784375
transcript.pyannote[668].speaker SPEAKER_02
transcript.pyannote[668].start 4416.97784375
transcript.pyannote[668].end 4418.80034375
transcript.pyannote[669].speaker SPEAKER_02
transcript.pyannote[669].start 4419.91409375
transcript.pyannote[669].end 4420.67346875
transcript.pyannote[670].speaker SPEAKER_02
transcript.pyannote[670].start 4420.85909375
transcript.pyannote[670].end 4423.54221875
transcript.pyannote[671].speaker SPEAKER_02
transcript.pyannote[671].start 4423.94721875
transcript.pyannote[671].end 4425.56721875
transcript.pyannote[672].speaker SPEAKER_02
transcript.pyannote[672].start 4425.66846875
transcript.pyannote[672].end 4427.01846875
transcript.pyannote[673].speaker SPEAKER_02
transcript.pyannote[673].start 4427.38971875
transcript.pyannote[673].end 4429.06034375
transcript.pyannote[674].speaker SPEAKER_02
transcript.pyannote[674].start 4430.07284375
transcript.pyannote[674].end 4434.22409375
transcript.pyannote[675].speaker SPEAKER_02
transcript.pyannote[675].start 4434.62909375
transcript.pyannote[675].end 4437.41346875
transcript.pyannote[676].speaker SPEAKER_02
transcript.pyannote[676].start 4437.78471875
transcript.pyannote[676].end 4439.57346875
transcript.pyannote[677].speaker SPEAKER_02
transcript.pyannote[677].start 4440.28221875
transcript.pyannote[677].end 4441.10909375
transcript.pyannote[678].speaker SPEAKER_02
transcript.pyannote[678].start 4441.39596875
transcript.pyannote[678].end 4442.27346875
transcript.pyannote[679].speaker SPEAKER_02
transcript.pyannote[679].start 4442.84721875
transcript.pyannote[679].end 4443.67409375
transcript.pyannote[680].speaker SPEAKER_02
transcript.pyannote[680].start 4444.07909375
transcript.pyannote[680].end 4445.56409375
transcript.pyannote[681].speaker SPEAKER_02
transcript.pyannote[681].start 4446.03659375
transcript.pyannote[681].end 4446.61034375
transcript.pyannote[682].speaker SPEAKER_02
transcript.pyannote[682].start 4447.21784375
transcript.pyannote[682].end 4459.63784375
transcript.pyannote[683].speaker SPEAKER_02
transcript.pyannote[683].start 4460.14409375
transcript.pyannote[683].end 4460.71784375
transcript.pyannote[684].speaker SPEAKER_02
transcript.pyannote[684].start 4461.44346875
transcript.pyannote[684].end 4465.08846875
transcript.pyannote[685].speaker SPEAKER_02
transcript.pyannote[685].start 4465.52721875
transcript.pyannote[685].end 4466.86034375
transcript.pyannote[686].speaker SPEAKER_06
transcript.pyannote[686].start 4466.86034375
transcript.pyannote[686].end 4466.87721875
transcript.pyannote[687].speaker SPEAKER_06
transcript.pyannote[687].start 4467.45096875
transcript.pyannote[687].end 4467.48471875
transcript.pyannote[688].speaker SPEAKER_06
transcript.pyannote[688].start 4467.95721875
transcript.pyannote[688].end 4474.20096875
transcript.pyannote[689].speaker SPEAKER_02
transcript.pyannote[689].start 4474.20096875
transcript.pyannote[689].end 4474.65659375
transcript.pyannote[690].speaker SPEAKER_02
transcript.pyannote[690].start 4475.66909375
transcript.pyannote[690].end 4479.90471875
transcript.pyannote[691].speaker SPEAKER_02
transcript.pyannote[691].start 4480.57971875
transcript.pyannote[691].end 4482.92534375
transcript.pyannote[692].speaker SPEAKER_02
transcript.pyannote[692].start 4483.43159375
transcript.pyannote[692].end 4483.65096875
transcript.pyannote[693].speaker SPEAKER_02
transcript.pyannote[693].start 4484.03909375
transcript.pyannote[693].end 4488.62909375
transcript.pyannote[694].speaker SPEAKER_02
transcript.pyannote[694].start 4489.27034375
transcript.pyannote[694].end 4491.48096875
transcript.pyannote[695].speaker SPEAKER_02
transcript.pyannote[695].start 4491.61596875
transcript.pyannote[695].end 4493.40471875
transcript.pyannote[696].speaker SPEAKER_02
transcript.pyannote[696].start 4494.04596875
transcript.pyannote[696].end 4496.72909375
transcript.pyannote[697].speaker SPEAKER_02
transcript.pyannote[697].start 4497.52221875
transcript.pyannote[697].end 4498.19721875
transcript.pyannote[698].speaker SPEAKER_02
transcript.pyannote[698].start 4498.70346875
transcript.pyannote[698].end 4500.79596875
transcript.pyannote[699].speaker SPEAKER_02
transcript.pyannote[699].start 4500.86346875
transcript.pyannote[699].end 4501.97721875
transcript.pyannote[700].speaker SPEAKER_02
transcript.pyannote[700].start 4502.36534375
transcript.pyannote[700].end 4504.12034375
transcript.pyannote[701].speaker SPEAKER_02
transcript.pyannote[701].start 4504.60971875
transcript.pyannote[701].end 4509.13221875
transcript.pyannote[702].speaker SPEAKER_06
transcript.pyannote[702].start 4508.89596875
transcript.pyannote[702].end 4510.39784375
transcript.pyannote[703].speaker SPEAKER_02
transcript.pyannote[703].start 4510.27971875
transcript.pyannote[703].end 4517.55284375
transcript.pyannote[704].speaker SPEAKER_22
transcript.pyannote[704].start 4516.65846875
transcript.pyannote[704].end 4521.61971875
transcript.pyannote[705].speaker SPEAKER_13
transcript.pyannote[705].start 4528.65659375
transcript.pyannote[705].end 4531.06971875
transcript.pyannote[706].speaker SPEAKER_01
transcript.pyannote[706].start 4531.66034375
transcript.pyannote[706].end 4532.41971875
transcript.pyannote[707].speaker SPEAKER_01
transcript.pyannote[707].start 4536.62159375
transcript.pyannote[707].end 4537.27971875
transcript.pyannote[708].speaker SPEAKER_18
transcript.pyannote[708].start 4537.27971875
transcript.pyannote[708].end 4537.31346875
transcript.pyannote[709].speaker SPEAKER_13
transcript.pyannote[709].start 4537.97159375
transcript.pyannote[709].end 4571.33346875
transcript.pyannote[710].speaker SPEAKER_13
transcript.pyannote[710].start 4571.55284375
transcript.pyannote[710].end 4580.19284375
transcript.pyannote[711].speaker SPEAKER_06
transcript.pyannote[711].start 4581.82971875
transcript.pyannote[711].end 4586.85846875
transcript.pyannote[712].speaker SPEAKER_06
transcript.pyannote[712].start 4586.90909375
transcript.pyannote[712].end 4586.92596875
transcript.pyannote[713].speaker SPEAKER_06
transcript.pyannote[713].start 4587.19596875
transcript.pyannote[713].end 4588.76534375
transcript.pyannote[714].speaker SPEAKER_13
transcript.pyannote[714].start 4588.39409375
transcript.pyannote[714].end 4590.60471875
transcript.pyannote[715].speaker SPEAKER_13
transcript.pyannote[715].start 4591.44846875
transcript.pyannote[715].end 4593.33846875
transcript.pyannote[716].speaker SPEAKER_06
transcript.pyannote[716].start 4594.06409375
transcript.pyannote[716].end 4594.92471875
transcript.pyannote[717].speaker SPEAKER_06
transcript.pyannote[717].start 4595.78534375
transcript.pyannote[717].end 4598.68784375
transcript.pyannote[718].speaker SPEAKER_06
transcript.pyannote[718].start 4600.34159375
transcript.pyannote[718].end 4602.29909375
transcript.pyannote[719].speaker SPEAKER_06
transcript.pyannote[719].start 4603.04159375
transcript.pyannote[719].end 4607.22659375
transcript.pyannote[720].speaker SPEAKER_06
transcript.pyannote[720].start 4608.03659375
transcript.pyannote[720].end 4610.58471875
transcript.pyannote[721].speaker SPEAKER_06
transcript.pyannote[721].start 4610.95596875
transcript.pyannote[721].end 4615.81596875
transcript.pyannote[722].speaker SPEAKER_13
transcript.pyannote[722].start 4614.66846875
transcript.pyannote[722].end 4618.61721875
transcript.pyannote[723].speaker SPEAKER_06
transcript.pyannote[723].start 4618.51596875
transcript.pyannote[723].end 4624.15221875
transcript.pyannote[724].speaker SPEAKER_13
transcript.pyannote[724].start 4624.96221875
transcript.pyannote[724].end 4629.73784375
transcript.pyannote[725].speaker SPEAKER_06
transcript.pyannote[725].start 4629.28221875
transcript.pyannote[725].end 4630.59846875
transcript.pyannote[726].speaker SPEAKER_13
transcript.pyannote[726].start 4630.83471875
transcript.pyannote[726].end 4632.01596875
transcript.pyannote[727].speaker SPEAKER_06
transcript.pyannote[727].start 4631.69534375
transcript.pyannote[727].end 4632.08346875
transcript.pyannote[728].speaker SPEAKER_13
transcript.pyannote[728].start 4632.08346875
transcript.pyannote[728].end 4632.10034375
transcript.pyannote[729].speaker SPEAKER_13
transcript.pyannote[729].start 4632.25221875
transcript.pyannote[729].end 4634.39534375
transcript.pyannote[730].speaker SPEAKER_06
transcript.pyannote[730].start 4634.46284375
transcript.pyannote[730].end 4637.14596875
transcript.pyannote[731].speaker SPEAKER_13
transcript.pyannote[731].start 4636.52159375
transcript.pyannote[731].end 4640.62221875
transcript.pyannote[732].speaker SPEAKER_06
transcript.pyannote[732].start 4641.95534375
transcript.pyannote[732].end 4645.07721875
transcript.pyannote[733].speaker SPEAKER_13
transcript.pyannote[733].start 4645.07721875
transcript.pyannote[733].end 4646.03909375
transcript.pyannote[734].speaker SPEAKER_06
transcript.pyannote[734].start 4646.91659375
transcript.pyannote[734].end 4654.18971875
transcript.pyannote[735].speaker SPEAKER_06
transcript.pyannote[735].start 4654.86471875
transcript.pyannote[735].end 4654.96596875
transcript.pyannote[736].speaker SPEAKER_13
transcript.pyannote[736].start 4654.96596875
transcript.pyannote[736].end 4668.51659375
transcript.pyannote[737].speaker SPEAKER_13
transcript.pyannote[737].start 4668.97221875
transcript.pyannote[737].end 4698.65534375
transcript.pyannote[738].speaker SPEAKER_13
transcript.pyannote[738].start 4698.84096875
transcript.pyannote[738].end 4720.89659375
transcript.pyannote[739].speaker SPEAKER_13
transcript.pyannote[739].start 4721.21721875
transcript.pyannote[739].end 4742.36159375
transcript.pyannote[740].speaker SPEAKER_13
transcript.pyannote[740].start 4743.05346875
transcript.pyannote[740].end 4751.27159375
transcript.pyannote[741].speaker SPEAKER_13
transcript.pyannote[741].start 4751.86221875
transcript.pyannote[741].end 4752.38534375
transcript.pyannote[742].speaker SPEAKER_13
transcript.pyannote[742].start 4752.80721875
transcript.pyannote[742].end 4754.29221875
transcript.pyannote[743].speaker SPEAKER_13
transcript.pyannote[743].start 4755.52409375
transcript.pyannote[743].end 4756.41846875
transcript.pyannote[744].speaker SPEAKER_06
transcript.pyannote[744].start 4756.84034375
transcript.pyannote[744].end 4759.00034375
transcript.pyannote[745].speaker SPEAKER_06
transcript.pyannote[745].start 4759.40534375
transcript.pyannote[745].end 4763.57346875
transcript.pyannote[746].speaker SPEAKER_06
transcript.pyannote[746].start 4763.62409375
transcript.pyannote[746].end 4768.29846875
transcript.pyannote[747].speaker SPEAKER_06
transcript.pyannote[747].start 4768.70346875
transcript.pyannote[747].end 4780.12784375
transcript.pyannote[748].speaker SPEAKER_06
transcript.pyannote[748].start 4780.75221875
transcript.pyannote[748].end 4782.87846875
transcript.pyannote[749].speaker SPEAKER_06
transcript.pyannote[749].start 4783.26659375
transcript.pyannote[749].end 4783.65471875
transcript.pyannote[750].speaker SPEAKER_06
transcript.pyannote[750].start 4783.78971875
transcript.pyannote[750].end 4785.94971875
transcript.pyannote[751].speaker SPEAKER_06
transcript.pyannote[751].start 4786.28721875
transcript.pyannote[751].end 4788.09284375
transcript.pyannote[752].speaker SPEAKER_06
transcript.pyannote[752].start 4788.49784375
transcript.pyannote[752].end 4791.85596875
transcript.pyannote[753].speaker SPEAKER_06
transcript.pyannote[753].start 4792.41284375
transcript.pyannote[753].end 4801.15409375
transcript.pyannote[754].speaker SPEAKER_13
transcript.pyannote[754].start 4795.56846875
transcript.pyannote[754].end 4795.60221875
transcript.pyannote[755].speaker SPEAKER_18
transcript.pyannote[755].start 4795.60221875
transcript.pyannote[755].end 4795.93971875
transcript.pyannote[756].speaker SPEAKER_13
transcript.pyannote[756].start 4795.93971875
transcript.pyannote[756].end 4795.97346875
transcript.pyannote[757].speaker SPEAKER_13
transcript.pyannote[757].start 4800.56346875
transcript.pyannote[757].end 4841.16471875
transcript.pyannote[758].speaker SPEAKER_06
transcript.pyannote[758].start 4804.56284375
transcript.pyannote[758].end 4804.68096875
transcript.pyannote[759].speaker SPEAKER_13
transcript.pyannote[759].start 4841.62034375
transcript.pyannote[759].end 4844.06721875
transcript.pyannote[760].speaker SPEAKER_13
transcript.pyannote[760].start 4844.96159375
transcript.pyannote[760].end 4846.59846875
transcript.pyannote[761].speaker SPEAKER_13
transcript.pyannote[761].start 4847.10471875
transcript.pyannote[761].end 4849.04534375
transcript.pyannote[762].speaker SPEAKER_06
transcript.pyannote[762].start 4849.65284375
transcript.pyannote[762].end 4858.27596875
transcript.pyannote[763].speaker SPEAKER_06
transcript.pyannote[763].start 4858.78221875
transcript.pyannote[763].end 4860.97596875
transcript.pyannote[764].speaker SPEAKER_06
transcript.pyannote[764].start 4861.21221875
transcript.pyannote[764].end 4864.48596875
transcript.pyannote[765].speaker SPEAKER_06
transcript.pyannote[765].start 4864.77284375
transcript.pyannote[765].end 4866.37596875
transcript.pyannote[766].speaker SPEAKER_06
transcript.pyannote[766].start 4866.73034375
transcript.pyannote[766].end 4868.48534375
transcript.pyannote[767].speaker SPEAKER_06
transcript.pyannote[767].start 4868.89034375
transcript.pyannote[767].end 4870.13909375
transcript.pyannote[768].speaker SPEAKER_06
transcript.pyannote[768].start 4871.67471875
transcript.pyannote[768].end 4881.39471875
transcript.pyannote[769].speaker SPEAKER_13
transcript.pyannote[769].start 4871.72534375
transcript.pyannote[769].end 4871.74221875
transcript.pyannote[770].speaker SPEAKER_18
transcript.pyannote[770].start 4871.74221875
transcript.pyannote[770].end 4872.77159375
transcript.pyannote[771].speaker SPEAKER_06
transcript.pyannote[771].start 4881.56346875
transcript.pyannote[771].end 4881.81659375
transcript.pyannote[772].speaker SPEAKER_06
transcript.pyannote[772].start 4882.18784375
transcript.pyannote[772].end 4889.61284375
transcript.pyannote[773].speaker SPEAKER_06
transcript.pyannote[773].start 4890.76034375
transcript.pyannote[773].end 4890.96284375
transcript.pyannote[774].speaker SPEAKER_13
transcript.pyannote[774].start 4890.96284375
transcript.pyannote[774].end 4891.50284375
transcript.pyannote[775].speaker SPEAKER_06
transcript.pyannote[775].start 4891.72221875
transcript.pyannote[775].end 4891.75596875
transcript.pyannote[776].speaker SPEAKER_13
transcript.pyannote[776].start 4891.75596875
transcript.pyannote[776].end 4962.27659375
transcript.pyannote[777].speaker SPEAKER_13
transcript.pyannote[777].start 4962.61409375
transcript.pyannote[777].end 4963.03596875
transcript.pyannote[778].speaker SPEAKER_06
transcript.pyannote[778].start 4963.03596875
transcript.pyannote[778].end 4963.69409375
transcript.pyannote[779].speaker SPEAKER_13
transcript.pyannote[779].start 4963.69409375
transcript.pyannote[779].end 4963.71096875
transcript.pyannote[780].speaker SPEAKER_06
transcript.pyannote[780].start 4964.35221875
transcript.pyannote[780].end 4964.94284375
transcript.pyannote[781].speaker SPEAKER_06
transcript.pyannote[781].start 4965.53346875
transcript.pyannote[781].end 4971.76034375
transcript.pyannote[782].speaker SPEAKER_06
transcript.pyannote[782].start 4972.30034375
transcript.pyannote[782].end 4984.33221875
transcript.pyannote[783].speaker SPEAKER_13
transcript.pyannote[783].start 4983.77534375
transcript.pyannote[783].end 5057.73846875
transcript.pyannote[784].speaker SPEAKER_06
transcript.pyannote[784].start 4984.45034375
transcript.pyannote[784].end 4984.66971875
transcript.pyannote[785].speaker SPEAKER_06
transcript.pyannote[785].start 4988.14596875
transcript.pyannote[785].end 4989.19221875
transcript.pyannote[786].speaker SPEAKER_06
transcript.pyannote[786].start 4990.86284375
transcript.pyannote[786].end 4991.28471875
transcript.pyannote[787].speaker SPEAKER_13
transcript.pyannote[787].start 5057.89034375
transcript.pyannote[787].end 5068.60596875
transcript.pyannote[788].speaker SPEAKER_00
transcript.pyannote[788].start 5065.99034375
transcript.pyannote[788].end 5066.26034375
transcript.pyannote[789].speaker SPEAKER_13
transcript.pyannote[789].start 5068.82534375
transcript.pyannote[789].end 5069.34846875
transcript.pyannote[790].speaker SPEAKER_13
transcript.pyannote[790].start 5070.22596875
transcript.pyannote[790].end 5112.61596875
transcript.pyannote[791].speaker SPEAKER_06
transcript.pyannote[791].start 5114.03346875
transcript.pyannote[791].end 5118.48846875
transcript.pyannote[792].speaker SPEAKER_13
transcript.pyannote[792].start 5119.78784375
transcript.pyannote[792].end 5120.66534375
transcript.pyannote[793].speaker SPEAKER_13
transcript.pyannote[793].start 5120.74971875
transcript.pyannote[793].end 5121.27284375
transcript.pyannote[794].speaker SPEAKER_13
transcript.pyannote[794].start 5121.84659375
transcript.pyannote[794].end 5127.24659375
transcript.pyannote[795].speaker SPEAKER_06
transcript.pyannote[795].start 5126.48721875
transcript.pyannote[795].end 5136.96659375
transcript.pyannote[796].speaker SPEAKER_13
transcript.pyannote[796].start 5136.96659375
transcript.pyannote[796].end 5149.75784375
transcript.pyannote[797].speaker SPEAKER_13
transcript.pyannote[797].start 5150.92221875
transcript.pyannote[797].end 5178.39471875
transcript.pyannote[798].speaker SPEAKER_13
transcript.pyannote[798].start 5179.30596875
transcript.pyannote[798].end 5182.02284375
transcript.pyannote[799].speaker SPEAKER_06
transcript.pyannote[799].start 5182.02284375
transcript.pyannote[799].end 5183.13659375
transcript.pyannote[800].speaker SPEAKER_13
transcript.pyannote[800].start 5183.13659375
transcript.pyannote[800].end 5189.63346875
transcript.pyannote[801].speaker SPEAKER_06
transcript.pyannote[801].start 5183.15346875
transcript.pyannote[801].end 5184.35159375
transcript.pyannote[802].speaker SPEAKER_13
transcript.pyannote[802].start 5189.83596875
transcript.pyannote[802].end 5195.65784375
transcript.pyannote[803].speaker SPEAKER_06
transcript.pyannote[803].start 5194.37534375
transcript.pyannote[803].end 5195.16846875
transcript.pyannote[804].speaker SPEAKER_06
transcript.pyannote[804].start 5195.42159375
transcript.pyannote[804].end 5201.59784375
transcript.pyannote[805].speaker SPEAKER_06
transcript.pyannote[805].start 5202.62721875
transcript.pyannote[805].end 5206.15409375
transcript.pyannote[806].speaker SPEAKER_06
transcript.pyannote[806].start 5206.62659375
transcript.pyannote[806].end 5206.64346875
transcript.pyannote[807].speaker SPEAKER_13
transcript.pyannote[807].start 5206.64346875
transcript.pyannote[807].end 5206.67721875
transcript.pyannote[808].speaker SPEAKER_06
transcript.pyannote[808].start 5206.67721875
transcript.pyannote[808].end 5206.96409375
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 5206.96409375
transcript.pyannote[809].end 5219.02971875
transcript.pyannote[810].speaker SPEAKER_06
transcript.pyannote[810].start 5218.45596875
transcript.pyannote[810].end 5218.89471875
transcript.pyannote[811].speaker SPEAKER_06
transcript.pyannote[811].start 5219.02971875
transcript.pyannote[811].end 5219.11409375
transcript.pyannote[812].speaker SPEAKER_13
transcript.pyannote[812].start 5219.11409375
transcript.pyannote[812].end 5219.48534375
transcript.pyannote[813].speaker SPEAKER_06
transcript.pyannote[813].start 5219.28284375
transcript.pyannote[813].end 5221.00409375
transcript.pyannote[814].speaker SPEAKER_22
transcript.pyannote[814].start 5221.00409375
transcript.pyannote[814].end 5225.42534375
transcript.pyannote[815].speaker SPEAKER_17
transcript.pyannote[815].start 5238.48659375
transcript.pyannote[815].end 5240.78159375
transcript.pyannote[816].speaker SPEAKER_17
transcript.pyannote[816].start 5241.18659375
transcript.pyannote[816].end 5243.26221875
transcript.pyannote[817].speaker SPEAKER_05
transcript.pyannote[817].start 5243.46471875
transcript.pyannote[817].end 5244.07221875
transcript.pyannote[818].speaker SPEAKER_05
transcript.pyannote[818].start 5247.21096875
transcript.pyannote[818].end 5248.02096875
transcript.pyannote[819].speaker SPEAKER_17
transcript.pyannote[819].start 5249.01659375
transcript.pyannote[819].end 5250.29909375
transcript.pyannote[820].speaker SPEAKER_17
transcript.pyannote[820].start 5251.32846875
transcript.pyannote[820].end 5251.81784375
transcript.pyannote[821].speaker SPEAKER_17
transcript.pyannote[821].start 5252.45909375
transcript.pyannote[821].end 5255.12534375
transcript.pyannote[822].speaker SPEAKER_17
transcript.pyannote[822].start 5256.17159375
transcript.pyannote[822].end 5258.39909375
transcript.pyannote[823].speaker SPEAKER_17
transcript.pyannote[823].start 5259.61409375
transcript.pyannote[823].end 5260.77846875
transcript.pyannote[824].speaker SPEAKER_17
transcript.pyannote[824].start 5261.70659375
transcript.pyannote[824].end 5262.51659375
transcript.pyannote[825].speaker SPEAKER_17
transcript.pyannote[825].start 5262.70221875
transcript.pyannote[825].end 5263.02284375
transcript.pyannote[826].speaker SPEAKER_17
transcript.pyannote[826].start 5263.54596875
transcript.pyannote[826].end 5264.60909375
transcript.pyannote[827].speaker SPEAKER_17
transcript.pyannote[827].start 5265.43596875
transcript.pyannote[827].end 5266.38096875
transcript.pyannote[828].speaker SPEAKER_17
transcript.pyannote[828].start 5266.63409375
transcript.pyannote[828].end 5267.91659375
transcript.pyannote[829].speaker SPEAKER_17
transcript.pyannote[829].start 5268.65909375
transcript.pyannote[829].end 5271.13971875
transcript.pyannote[830].speaker SPEAKER_17
transcript.pyannote[830].start 5271.89909375
transcript.pyannote[830].end 5273.62034375
transcript.pyannote[831].speaker SPEAKER_17
transcript.pyannote[831].start 5274.27846875
transcript.pyannote[831].end 5275.35846875
transcript.pyannote[832].speaker SPEAKER_17
transcript.pyannote[832].start 5276.25284375
transcript.pyannote[832].end 5278.17659375
transcript.pyannote[833].speaker SPEAKER_17
transcript.pyannote[833].start 5278.73346875
transcript.pyannote[833].end 5279.18909375
transcript.pyannote[834].speaker SPEAKER_17
transcript.pyannote[834].start 5279.45909375
transcript.pyannote[834].end 5281.65284375
transcript.pyannote[835].speaker SPEAKER_17
transcript.pyannote[835].start 5282.44596875
transcript.pyannote[835].end 5283.13784375
transcript.pyannote[836].speaker SPEAKER_17
transcript.pyannote[836].start 5283.81284375
transcript.pyannote[836].end 5285.17971875
transcript.pyannote[837].speaker SPEAKER_17
transcript.pyannote[837].start 5285.38221875
transcript.pyannote[837].end 5286.54659375
transcript.pyannote[838].speaker SPEAKER_17
transcript.pyannote[838].start 5288.28471875
transcript.pyannote[838].end 5289.75284375
transcript.pyannote[839].speaker SPEAKER_17
transcript.pyannote[839].start 5289.78659375
transcript.pyannote[839].end 5291.25471875
transcript.pyannote[840].speaker SPEAKER_17
transcript.pyannote[840].start 5291.44034375
transcript.pyannote[840].end 5294.14034375
transcript.pyannote[841].speaker SPEAKER_17
transcript.pyannote[841].start 5295.32159375
transcript.pyannote[841].end 5297.65034375
transcript.pyannote[842].speaker SPEAKER_17
transcript.pyannote[842].start 5298.39284375
transcript.pyannote[842].end 5299.20284375
transcript.pyannote[843].speaker SPEAKER_17
transcript.pyannote[843].start 5299.81034375
transcript.pyannote[843].end 5302.25721875
transcript.pyannote[844].speaker SPEAKER_17
transcript.pyannote[844].start 5302.71284375
transcript.pyannote[844].end 5303.13471875
transcript.pyannote[845].speaker SPEAKER_17
transcript.pyannote[845].start 5304.56909375
transcript.pyannote[845].end 5306.07096875
transcript.pyannote[846].speaker SPEAKER_17
transcript.pyannote[846].start 5307.01596875
transcript.pyannote[846].end 5309.49659375
transcript.pyannote[847].speaker SPEAKER_17
transcript.pyannote[847].start 5309.64846875
transcript.pyannote[847].end 5312.46659375
transcript.pyannote[848].speaker SPEAKER_17
transcript.pyannote[848].start 5313.51284375
transcript.pyannote[848].end 5314.66034375
transcript.pyannote[849].speaker SPEAKER_17
transcript.pyannote[849].start 5315.03159375
transcript.pyannote[849].end 5317.29284375
transcript.pyannote[850].speaker SPEAKER_17
transcript.pyannote[850].start 5318.60909375
transcript.pyannote[850].end 5321.34284375
transcript.pyannote[851].speaker SPEAKER_17
transcript.pyannote[851].start 5321.59596875
transcript.pyannote[851].end 5323.01346875
transcript.pyannote[852].speaker SPEAKER_17
transcript.pyannote[852].start 5323.63784375
transcript.pyannote[852].end 5326.00034375
transcript.pyannote[853].speaker SPEAKER_17
transcript.pyannote[853].start 5327.08034375
transcript.pyannote[853].end 5327.92409375
transcript.pyannote[854].speaker SPEAKER_17
transcript.pyannote[854].start 5328.63284375
transcript.pyannote[854].end 5328.83534375
transcript.pyannote[855].speaker SPEAKER_17
transcript.pyannote[855].start 5329.44284375
transcript.pyannote[855].end 5330.80971875
transcript.pyannote[856].speaker SPEAKER_06
transcript.pyannote[856].start 5332.59846875
transcript.pyannote[856].end 5334.25221875
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 5334.82596875
transcript.pyannote[857].end 5340.04034375
transcript.pyannote[858].speaker SPEAKER_17
transcript.pyannote[858].start 5340.04034375
transcript.pyannote[858].end 5341.98096875
transcript.pyannote[859].speaker SPEAKER_17
transcript.pyannote[859].start 5342.40284375
transcript.pyannote[859].end 5344.36034375
transcript.pyannote[860].speaker SPEAKER_17
transcript.pyannote[860].start 5344.90034375
transcript.pyannote[860].end 5345.81159375
transcript.pyannote[861].speaker SPEAKER_17
transcript.pyannote[861].start 5346.14909375
transcript.pyannote[861].end 5347.63409375
transcript.pyannote[862].speaker SPEAKER_17
transcript.pyannote[862].start 5347.93784375
transcript.pyannote[862].end 5350.14846875
transcript.pyannote[863].speaker SPEAKER_17
transcript.pyannote[863].start 5350.23284375
transcript.pyannote[863].end 5351.65034375
transcript.pyannote[864].speaker SPEAKER_06
transcript.pyannote[864].start 5352.24096875
transcript.pyannote[864].end 5353.79346875
transcript.pyannote[865].speaker SPEAKER_17
transcript.pyannote[865].start 5355.68346875
transcript.pyannote[865].end 5357.20221875
transcript.pyannote[866].speaker SPEAKER_17
transcript.pyannote[866].start 5357.47221875
transcript.pyannote[866].end 5358.56909375
transcript.pyannote[867].speaker SPEAKER_06
transcript.pyannote[867].start 5358.56909375
transcript.pyannote[867].end 5370.63471875
transcript.pyannote[868].speaker SPEAKER_17
transcript.pyannote[868].start 5368.17096875
transcript.pyannote[868].end 5370.06096875
transcript.pyannote[869].speaker SPEAKER_17
transcript.pyannote[869].start 5371.76534375
transcript.pyannote[869].end 5373.92534375
transcript.pyannote[870].speaker SPEAKER_17
transcript.pyannote[870].start 5374.36409375
transcript.pyannote[870].end 5376.60846875
transcript.pyannote[871].speaker SPEAKER_17
transcript.pyannote[871].start 5377.14846875
transcript.pyannote[871].end 5379.40971875
transcript.pyannote[872].speaker SPEAKER_17
transcript.pyannote[872].start 5380.67534375
transcript.pyannote[872].end 5381.55284375
transcript.pyannote[873].speaker SPEAKER_06
transcript.pyannote[873].start 5381.55284375
transcript.pyannote[873].end 5381.60346875
transcript.pyannote[874].speaker SPEAKER_06
transcript.pyannote[874].start 5381.80596875
transcript.pyannote[874].end 5381.82284375
transcript.pyannote[875].speaker SPEAKER_17
transcript.pyannote[875].start 5381.82284375
transcript.pyannote[875].end 5382.02534375
transcript.pyannote[876].speaker SPEAKER_06
transcript.pyannote[876].start 5382.02534375
transcript.pyannote[876].end 5382.17721875
transcript.pyannote[877].speaker SPEAKER_06
transcript.pyannote[877].start 5382.53159375
transcript.pyannote[877].end 5383.66221875
transcript.pyannote[878].speaker SPEAKER_06
transcript.pyannote[878].start 5384.20221875
transcript.pyannote[878].end 5384.74221875
transcript.pyannote[879].speaker SPEAKER_06
transcript.pyannote[879].start 5386.34534375
transcript.pyannote[879].end 5398.57971875
transcript.pyannote[880].speaker SPEAKER_06
transcript.pyannote[880].start 5399.08596875
transcript.pyannote[880].end 5402.37659375
transcript.pyannote[881].speaker SPEAKER_06
transcript.pyannote[881].start 5402.76471875
transcript.pyannote[881].end 5406.22409375
transcript.pyannote[882].speaker SPEAKER_06
transcript.pyannote[882].start 5407.08471875
transcript.pyannote[882].end 5407.97909375
transcript.pyannote[883].speaker SPEAKER_06
transcript.pyannote[883].start 5408.58659375
transcript.pyannote[883].end 5410.89846875
transcript.pyannote[884].speaker SPEAKER_06
transcript.pyannote[884].start 5411.37096875
transcript.pyannote[884].end 5436.37971875
transcript.pyannote[885].speaker SPEAKER_17
transcript.pyannote[885].start 5421.78284375
transcript.pyannote[885].end 5423.38596875
transcript.pyannote[886].speaker SPEAKER_17
transcript.pyannote[886].start 5423.70659375
transcript.pyannote[886].end 5424.60096875
transcript.pyannote[887].speaker SPEAKER_17
transcript.pyannote[887].start 5427.63846875
transcript.pyannote[887].end 5429.88284375
transcript.pyannote[888].speaker SPEAKER_17
transcript.pyannote[888].start 5431.03034375
transcript.pyannote[888].end 5438.45534375
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 5436.73409375
transcript.pyannote[889].end 5437.76346875
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 5439.77159375
transcript.pyannote[890].end 5441.07096875
transcript.pyannote[891].speaker SPEAKER_17
transcript.pyannote[891].start 5441.07096875
transcript.pyannote[891].end 5443.02846875
transcript.pyannote[892].speaker SPEAKER_17
transcript.pyannote[892].start 5443.23096875
transcript.pyannote[892].end 5445.47534375
transcript.pyannote[893].speaker SPEAKER_17
transcript.pyannote[893].start 5445.72846875
transcript.pyannote[893].end 5448.10784375
transcript.pyannote[894].speaker SPEAKER_17
transcript.pyannote[894].start 5448.68159375
transcript.pyannote[894].end 5450.62221875
transcript.pyannote[895].speaker SPEAKER_17
transcript.pyannote[895].start 5451.22971875
transcript.pyannote[895].end 5453.76096875
transcript.pyannote[896].speaker SPEAKER_17
transcript.pyannote[896].start 5454.97596875
transcript.pyannote[896].end 5456.29221875
transcript.pyannote[897].speaker SPEAKER_17
transcript.pyannote[897].start 5456.51159375
transcript.pyannote[897].end 5457.74346875
transcript.pyannote[898].speaker SPEAKER_17
transcript.pyannote[898].start 5458.13159375
transcript.pyannote[898].end 5459.34659375
transcript.pyannote[899].speaker SPEAKER_06
transcript.pyannote[899].start 5459.66721875
transcript.pyannote[899].end 5461.65846875
transcript.pyannote[900].speaker SPEAKER_17
transcript.pyannote[900].start 5461.65846875
transcript.pyannote[900].end 5469.62346875
transcript.pyannote[901].speaker SPEAKER_17
transcript.pyannote[901].start 5470.04534375
transcript.pyannote[901].end 5473.38659375
transcript.pyannote[902].speaker SPEAKER_17
transcript.pyannote[902].start 5473.60596875
transcript.pyannote[902].end 5477.26784375
transcript.pyannote[903].speaker SPEAKER_17
transcript.pyannote[903].start 5477.65596875
transcript.pyannote[903].end 5478.98909375
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 5478.98909375
transcript.pyannote[904].end 5480.44034375
transcript.pyannote[905].speaker SPEAKER_06
transcript.pyannote[905].start 5480.87909375
transcript.pyannote[905].end 5481.48659375
transcript.pyannote[906].speaker SPEAKER_06
transcript.pyannote[906].start 5481.75659375
transcript.pyannote[906].end 5485.13159375
transcript.pyannote[907].speaker SPEAKER_06
transcript.pyannote[907].start 5485.77284375
transcript.pyannote[907].end 5507.23784375
transcript.pyannote[908].speaker SPEAKER_17
transcript.pyannote[908].start 5496.04971875
transcript.pyannote[908].end 5496.84284375
transcript.pyannote[909].speaker SPEAKER_17
transcript.pyannote[909].start 5500.16721875
transcript.pyannote[909].end 5500.35284375
transcript.pyannote[910].speaker SPEAKER_17
transcript.pyannote[910].start 5502.29346875
transcript.pyannote[910].end 5502.86721875
transcript.pyannote[911].speaker SPEAKER_17
transcript.pyannote[911].start 5507.84534375
transcript.pyannote[911].end 5508.48659375
transcript.pyannote[912].speaker SPEAKER_06
transcript.pyannote[912].start 5508.48659375
transcript.pyannote[912].end 5508.50346875
transcript.pyannote[913].speaker SPEAKER_17
transcript.pyannote[913].start 5508.50346875
transcript.pyannote[913].end 5508.57096875
transcript.pyannote[914].speaker SPEAKER_06
transcript.pyannote[914].start 5508.57096875
transcript.pyannote[914].end 5508.92534375
transcript.pyannote[915].speaker SPEAKER_17
transcript.pyannote[915].start 5508.92534375
transcript.pyannote[915].end 5508.94221875
transcript.pyannote[916].speaker SPEAKER_06
transcript.pyannote[916].start 5508.94221875
transcript.pyannote[916].end 5508.97596875
transcript.pyannote[917].speaker SPEAKER_17
transcript.pyannote[917].start 5508.97596875
transcript.pyannote[917].end 5509.02659375
transcript.pyannote[918].speaker SPEAKER_06
transcript.pyannote[918].start 5509.02659375
transcript.pyannote[918].end 5509.04346875
transcript.pyannote[919].speaker SPEAKER_06
transcript.pyannote[919].start 5509.65096875
transcript.pyannote[919].end 5510.76471875
transcript.pyannote[920].speaker SPEAKER_17
transcript.pyannote[920].start 5511.06846875
transcript.pyannote[920].end 5512.08096875
transcript.pyannote[921].speaker SPEAKER_17
transcript.pyannote[921].start 5512.57034375
transcript.pyannote[921].end 5515.45596875
transcript.pyannote[922].speaker SPEAKER_17
transcript.pyannote[922].start 5515.75971875
transcript.pyannote[922].end 5517.36284375
transcript.pyannote[923].speaker SPEAKER_17
transcript.pyannote[923].start 5518.10534375
transcript.pyannote[923].end 5520.45096875
transcript.pyannote[924].speaker SPEAKER_17
transcript.pyannote[924].start 5521.54784375
transcript.pyannote[924].end 5523.69096875
transcript.pyannote[925].speaker SPEAKER_17
transcript.pyannote[925].start 5524.82159375
transcript.pyannote[925].end 5527.20096875
transcript.pyannote[926].speaker SPEAKER_17
transcript.pyannote[926].start 5527.45409375
transcript.pyannote[926].end 5531.57159375
transcript.pyannote[927].speaker SPEAKER_17
transcript.pyannote[927].start 5532.04409375
transcript.pyannote[927].end 5535.58784375
transcript.pyannote[928].speaker SPEAKER_17
transcript.pyannote[928].start 5535.95909375
transcript.pyannote[928].end 5536.88721875
transcript.pyannote[929].speaker SPEAKER_17
transcript.pyannote[929].start 5536.95471875
transcript.pyannote[929].end 5537.74784375
transcript.pyannote[930].speaker SPEAKER_17
transcript.pyannote[930].start 5538.87846875
transcript.pyannote[930].end 5539.65471875
transcript.pyannote[931].speaker SPEAKER_17
transcript.pyannote[931].start 5539.90784375
transcript.pyannote[931].end 5541.71346875
transcript.pyannote[932].speaker SPEAKER_17
transcript.pyannote[932].start 5541.84846875
transcript.pyannote[932].end 5542.27034375
transcript.pyannote[933].speaker SPEAKER_17
transcript.pyannote[933].start 5542.89471875
transcript.pyannote[933].end 5543.28284375
transcript.pyannote[934].speaker SPEAKER_17
transcript.pyannote[934].start 5544.71721875
transcript.pyannote[934].end 5545.07159375
transcript.pyannote[935].speaker SPEAKER_17
transcript.pyannote[935].start 5545.39221875
transcript.pyannote[935].end 5546.21909375
transcript.pyannote[936].speaker SPEAKER_06
transcript.pyannote[936].start 5547.34971875
transcript.pyannote[936].end 5548.73346875
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 5551.09596875
transcript.pyannote[937].end 5552.09159375
transcript.pyannote[938].speaker SPEAKER_17
transcript.pyannote[938].start 5552.83409375
transcript.pyannote[938].end 5556.02346875
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 5554.67346875
transcript.pyannote[939].end 5554.99409375
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 5556.95159375
transcript.pyannote[940].end 5559.39846875
transcript.pyannote[941].speaker SPEAKER_17
transcript.pyannote[941].start 5558.60534375
transcript.pyannote[941].end 5561.87909375
transcript.pyannote[942].speaker SPEAKER_06
transcript.pyannote[942].start 5561.96346875
transcript.pyannote[942].end 5562.23346875
transcript.pyannote[943].speaker SPEAKER_19
transcript.pyannote[943].start 5562.23346875
transcript.pyannote[943].end 5562.25034375
transcript.pyannote[944].speaker SPEAKER_17
transcript.pyannote[944].start 5562.92534375
transcript.pyannote[944].end 5565.79409375
transcript.pyannote[945].speaker SPEAKER_17
transcript.pyannote[945].start 5566.41846875
transcript.pyannote[945].end 5569.01721875
transcript.pyannote[946].speaker SPEAKER_17
transcript.pyannote[946].start 5569.72596875
transcript.pyannote[946].end 5572.20659375
transcript.pyannote[947].speaker SPEAKER_17
transcript.pyannote[947].start 5572.99971875
transcript.pyannote[947].end 5574.26534375
transcript.pyannote[948].speaker SPEAKER_17
transcript.pyannote[948].start 5574.50159375
transcript.pyannote[948].end 5576.15534375
transcript.pyannote[949].speaker SPEAKER_17
transcript.pyannote[949].start 5577.64034375
transcript.pyannote[949].end 5579.73284375
transcript.pyannote[950].speaker SPEAKER_17
transcript.pyannote[950].start 5580.52596875
transcript.pyannote[950].end 5583.20909375
transcript.pyannote[951].speaker SPEAKER_17
transcript.pyannote[951].start 5583.47909375
transcript.pyannote[951].end 5584.69409375
transcript.pyannote[952].speaker SPEAKER_17
transcript.pyannote[952].start 5585.06534375
transcript.pyannote[952].end 5586.16221875
transcript.pyannote[953].speaker SPEAKER_17
transcript.pyannote[953].start 5586.65159375
transcript.pyannote[953].end 5588.81159375
transcript.pyannote[954].speaker SPEAKER_17
transcript.pyannote[954].start 5590.16159375
transcript.pyannote[954].end 5591.19096875
transcript.pyannote[955].speaker SPEAKER_17
transcript.pyannote[955].start 5591.76471875
transcript.pyannote[955].end 5592.23721875
transcript.pyannote[956].speaker SPEAKER_17
transcript.pyannote[956].start 5592.86159375
transcript.pyannote[956].end 5594.71784375
transcript.pyannote[957].speaker SPEAKER_17
transcript.pyannote[957].start 5594.98784375
transcript.pyannote[957].end 5597.31659375
transcript.pyannote[958].speaker SPEAKER_17
transcript.pyannote[958].start 5597.56971875
transcript.pyannote[958].end 5600.52284375
transcript.pyannote[959].speaker SPEAKER_06
transcript.pyannote[959].start 5597.99159375
transcript.pyannote[959].end 5598.71721875
transcript.pyannote[960].speaker SPEAKER_06
transcript.pyannote[960].start 5598.85221875
transcript.pyannote[960].end 5598.93659375
transcript.pyannote[961].speaker SPEAKER_06
transcript.pyannote[961].start 5599.86471875
transcript.pyannote[961].end 5600.28659375
transcript.pyannote[962].speaker SPEAKER_06
transcript.pyannote[962].start 5600.69159375
transcript.pyannote[962].end 5613.29721875
transcript.pyannote[963].speaker SPEAKER_17
transcript.pyannote[963].start 5612.72346875
transcript.pyannote[963].end 5613.26346875
transcript.pyannote[964].speaker SPEAKER_17
transcript.pyannote[964].start 5613.29721875
transcript.pyannote[964].end 5614.30971875
transcript.pyannote[965].speaker SPEAKER_06
transcript.pyannote[965].start 5613.61784375
transcript.pyannote[965].end 5614.41096875
transcript.pyannote[966].speaker SPEAKER_06
transcript.pyannote[966].start 5614.57971875
transcript.pyannote[966].end 5617.22909375
transcript.pyannote[967].speaker SPEAKER_17
transcript.pyannote[967].start 5616.23346875
transcript.pyannote[967].end 5623.42221875
transcript.pyannote[968].speaker SPEAKER_06
transcript.pyannote[968].start 5617.63409375
transcript.pyannote[968].end 5617.93784375
transcript.pyannote[969].speaker SPEAKER_17
transcript.pyannote[969].start 5623.74284375
transcript.pyannote[969].end 5624.87346875
transcript.pyannote[970].speaker SPEAKER_17
transcript.pyannote[970].start 5625.49784375
transcript.pyannote[970].end 5630.57721875
transcript.pyannote[971].speaker SPEAKER_06
transcript.pyannote[971].start 5629.44659375
transcript.pyannote[971].end 5633.07471875
transcript.pyannote[972].speaker SPEAKER_17
transcript.pyannote[972].start 5631.48846875
transcript.pyannote[972].end 5634.62721875
transcript.pyannote[973].speaker SPEAKER_06
transcript.pyannote[973].start 5633.22659375
transcript.pyannote[973].end 5633.54721875
transcript.pyannote[974].speaker SPEAKER_17
transcript.pyannote[974].start 5634.91409375
transcript.pyannote[974].end 5634.93096875
transcript.pyannote[975].speaker SPEAKER_06
transcript.pyannote[975].start 5634.93096875
transcript.pyannote[975].end 5635.30221875
transcript.pyannote[976].speaker SPEAKER_06
transcript.pyannote[976].start 5635.94346875
transcript.pyannote[976].end 5637.61409375
transcript.pyannote[977].speaker SPEAKER_06
transcript.pyannote[977].start 5638.06971875
transcript.pyannote[977].end 5640.53346875
transcript.pyannote[978].speaker SPEAKER_17
transcript.pyannote[978].start 5640.53346875
transcript.pyannote[978].end 5642.27159375
transcript.pyannote[979].speaker SPEAKER_06
transcript.pyannote[979].start 5642.27159375
transcript.pyannote[979].end 5642.30534375
transcript.pyannote[980].speaker SPEAKER_17
transcript.pyannote[980].start 5642.57534375
transcript.pyannote[980].end 5643.90846875
transcript.pyannote[981].speaker SPEAKER_06
transcript.pyannote[981].start 5643.41909375
transcript.pyannote[981].end 5646.22034375
transcript.pyannote[982].speaker SPEAKER_17
transcript.pyannote[982].start 5645.64659375
transcript.pyannote[982].end 5650.25346875
transcript.pyannote[983].speaker SPEAKER_17
transcript.pyannote[983].start 5650.38846875
transcript.pyannote[983].end 5651.80596875
transcript.pyannote[984].speaker SPEAKER_17
transcript.pyannote[984].start 5651.94096875
transcript.pyannote[984].end 5652.31221875
transcript.pyannote[985].speaker SPEAKER_17
transcript.pyannote[985].start 5653.12221875
transcript.pyannote[985].end 5654.08409375
transcript.pyannote[986].speaker SPEAKER_17
transcript.pyannote[986].start 5654.18534375
transcript.pyannote[986].end 5654.99534375
transcript.pyannote[987].speaker SPEAKER_17
transcript.pyannote[987].start 5655.92346875
transcript.pyannote[987].end 5656.54784375
transcript.pyannote[988].speaker SPEAKER_17
transcript.pyannote[988].start 5657.25659375
transcript.pyannote[988].end 5658.01596875
transcript.pyannote[989].speaker SPEAKER_17
transcript.pyannote[989].start 5658.75846875
transcript.pyannote[989].end 5659.80471875
transcript.pyannote[990].speaker SPEAKER_17
transcript.pyannote[990].start 5660.69909375
transcript.pyannote[990].end 5663.26409375
transcript.pyannote[991].speaker SPEAKER_17
transcript.pyannote[991].start 5663.68596875
transcript.pyannote[991].end 5666.26784375
transcript.pyannote[992].speaker SPEAKER_17
transcript.pyannote[992].start 5666.77409375
transcript.pyannote[992].end 5669.00159375
transcript.pyannote[993].speaker SPEAKER_17
transcript.pyannote[993].start 5669.54159375
transcript.pyannote[993].end 5669.98034375
transcript.pyannote[994].speaker SPEAKER_17
transcript.pyannote[994].start 5670.94221875
transcript.pyannote[994].end 5671.95471875
transcript.pyannote[995].speaker SPEAKER_17
transcript.pyannote[995].start 5672.07284375
transcript.pyannote[995].end 5673.08534375
transcript.pyannote[996].speaker SPEAKER_17
transcript.pyannote[996].start 5673.47346875
transcript.pyannote[996].end 5674.13159375
transcript.pyannote[997].speaker SPEAKER_17
transcript.pyannote[997].start 5674.31721875
transcript.pyannote[997].end 5680.29096875
transcript.pyannote[998].speaker SPEAKER_17
transcript.pyannote[998].start 5680.72971875
transcript.pyannote[998].end 5682.23159375
transcript.pyannote[999].speaker SPEAKER_17
transcript.pyannote[999].start 5682.33284375
transcript.pyannote[999].end 5684.08784375
transcript.pyannote[1000].speaker SPEAKER_17
transcript.pyannote[1000].start 5684.59409375
transcript.pyannote[1000].end 5685.06659375
transcript.pyannote[1001].speaker SPEAKER_17
transcript.pyannote[1001].start 5685.80909375
transcript.pyannote[1001].end 5687.19284375
transcript.pyannote[1002].speaker SPEAKER_17
transcript.pyannote[1002].start 5687.39534375
transcript.pyannote[1002].end 5689.21784375
transcript.pyannote[1003].speaker SPEAKER_17
transcript.pyannote[1003].start 5689.94346875
transcript.pyannote[1003].end 5690.28096875
transcript.pyannote[1004].speaker SPEAKER_17
transcript.pyannote[1004].start 5690.48346875
transcript.pyannote[1004].end 5691.29346875
transcript.pyannote[1005].speaker SPEAKER_17
transcript.pyannote[1005].start 5691.73221875
transcript.pyannote[1005].end 5693.95971875
transcript.pyannote[1006].speaker SPEAKER_17
transcript.pyannote[1006].start 5694.28034375
transcript.pyannote[1006].end 5694.61784375
transcript.pyannote[1007].speaker SPEAKER_06
transcript.pyannote[1007].start 5695.14096875
transcript.pyannote[1007].end 5697.43596875
transcript.pyannote[1008].speaker SPEAKER_06
transcript.pyannote[1008].start 5698.21221875
transcript.pyannote[1008].end 5701.50284375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 5701.72221875
transcript.pyannote[1009].end 5705.83971875
transcript.pyannote[1010].speaker SPEAKER_06
transcript.pyannote[1010].start 5706.34596875
transcript.pyannote[1010].end 5709.02909375
transcript.pyannote[1011].speaker SPEAKER_06
transcript.pyannote[1011].start 5709.48471875
transcript.pyannote[1011].end 5713.72034375
transcript.pyannote[1012].speaker SPEAKER_17
transcript.pyannote[1012].start 5713.72034375
transcript.pyannote[1012].end 5719.52534375
transcript.pyannote[1013].speaker SPEAKER_17
transcript.pyannote[1013].start 5719.62659375
transcript.pyannote[1013].end 5723.17034375
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 5724.63846875
transcript.pyannote[1014].end 5730.98346875
transcript.pyannote[1015].speaker SPEAKER_06
transcript.pyannote[1015].start 5731.15221875
transcript.pyannote[1015].end 5732.99159375
transcript.pyannote[1016].speaker SPEAKER_06
transcript.pyannote[1016].start 5733.32909375
transcript.pyannote[1016].end 5735.13471875
transcript.pyannote[1017].speaker SPEAKER_06
transcript.pyannote[1017].start 5735.64096875
transcript.pyannote[1017].end 5738.23971875
transcript.pyannote[1018].speaker SPEAKER_17
transcript.pyannote[1018].start 5738.23971875
transcript.pyannote[1018].end 5743.03221875
transcript.pyannote[1019].speaker SPEAKER_17
transcript.pyannote[1019].start 5744.19659375
transcript.pyannote[1019].end 5745.88409375
transcript.pyannote[1020].speaker SPEAKER_17
transcript.pyannote[1020].start 5747.97659375
transcript.pyannote[1020].end 5750.77784375
transcript.pyannote[1021].speaker SPEAKER_17
transcript.pyannote[1021].start 5751.43596875
transcript.pyannote[1021].end 5753.08971875
transcript.pyannote[1022].speaker SPEAKER_17
transcript.pyannote[1022].start 5753.71409375
transcript.pyannote[1022].end 5756.95409375
transcript.pyannote[1023].speaker SPEAKER_17
transcript.pyannote[1023].start 5757.49409375
transcript.pyannote[1023].end 5760.83534375
transcript.pyannote[1024].speaker SPEAKER_17
transcript.pyannote[1024].start 5761.07159375
transcript.pyannote[1024].end 5762.62409375
transcript.pyannote[1025].speaker SPEAKER_17
transcript.pyannote[1025].start 5763.11346875
transcript.pyannote[1025].end 5764.96971875
transcript.pyannote[1026].speaker SPEAKER_17
transcript.pyannote[1026].start 5765.27346875
transcript.pyannote[1026].end 5768.17596875
transcript.pyannote[1027].speaker SPEAKER_17
transcript.pyannote[1027].start 5769.13784375
transcript.pyannote[1027].end 5770.42034375
transcript.pyannote[1028].speaker SPEAKER_17
transcript.pyannote[1028].start 5771.16284375
transcript.pyannote[1028].end 5771.41596875
transcript.pyannote[1029].speaker SPEAKER_17
transcript.pyannote[1029].start 5772.58034375
transcript.pyannote[1029].end 5775.68534375
transcript.pyannote[1030].speaker SPEAKER_17
transcript.pyannote[1030].start 5775.87096875
transcript.pyannote[1030].end 5777.52471875
transcript.pyannote[1031].speaker SPEAKER_06
transcript.pyannote[1031].start 5778.94221875
transcript.pyannote[1031].end 5785.43909375
transcript.pyannote[1032].speaker SPEAKER_17
transcript.pyannote[1032].start 5785.43909375
transcript.pyannote[1032].end 5785.52346875
transcript.pyannote[1033].speaker SPEAKER_17
transcript.pyannote[1033].start 5786.06346875
transcript.pyannote[1033].end 5787.22784375
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 5787.56534375
transcript.pyannote[1034].end 5789.74221875
transcript.pyannote[1035].speaker SPEAKER_17
transcript.pyannote[1035].start 5788.72971875
transcript.pyannote[1035].end 5791.81784375
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 5790.28221875
transcript.pyannote[1036].end 5790.75471875
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 5794.31534375
transcript.pyannote[1037].end 5802.71909375
transcript.pyannote[1038].speaker SPEAKER_17
transcript.pyannote[1038].start 5802.36471875
transcript.pyannote[1038].end 5806.76909375
transcript.pyannote[1039].speaker SPEAKER_17
transcript.pyannote[1039].start 5807.41034375
transcript.pyannote[1039].end 5808.18659375
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 5808.18659375
transcript.pyannote[1040].end 5808.22034375
transcript.pyannote[1041].speaker SPEAKER_06
transcript.pyannote[1041].start 5808.47346875
transcript.pyannote[1041].end 5818.56471875
transcript.pyannote[1042].speaker SPEAKER_06
transcript.pyannote[1042].start 5819.08784375
transcript.pyannote[1042].end 5827.45784375
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 5828.58846875
transcript.pyannote[1043].end 5830.37721875
transcript.pyannote[1044].speaker SPEAKER_17
transcript.pyannote[1044].start 5831.37284375
transcript.pyannote[1044].end 5833.66784375
transcript.pyannote[1045].speaker SPEAKER_17
transcript.pyannote[1045].start 5834.66346875
transcript.pyannote[1045].end 5836.90784375
transcript.pyannote[1046].speaker SPEAKER_17
transcript.pyannote[1046].start 5837.11034375
transcript.pyannote[1046].end 5838.49409375
transcript.pyannote[1047].speaker SPEAKER_17
transcript.pyannote[1047].start 5838.89909375
transcript.pyannote[1047].end 5839.33784375
transcript.pyannote[1048].speaker SPEAKER_17
transcript.pyannote[1048].start 5840.18159375
transcript.pyannote[1048].end 5840.78909375
transcript.pyannote[1049].speaker SPEAKER_17
transcript.pyannote[1049].start 5841.00846875
transcript.pyannote[1049].end 5841.78471875
transcript.pyannote[1050].speaker SPEAKER_17
transcript.pyannote[1050].start 5842.91534375
transcript.pyannote[1050].end 5843.20221875
transcript.pyannote[1051].speaker SPEAKER_17
transcript.pyannote[1051].start 5843.99534375
transcript.pyannote[1051].end 5844.78846875
transcript.pyannote[1052].speaker SPEAKER_17
transcript.pyannote[1052].start 5845.24409375
transcript.pyannote[1052].end 5845.81784375
transcript.pyannote[1053].speaker SPEAKER_17
transcript.pyannote[1053].start 5846.17221875
transcript.pyannote[1053].end 5847.82596875
transcript.pyannote[1054].speaker SPEAKER_17
transcript.pyannote[1054].start 5847.99471875
transcript.pyannote[1054].end 5850.40784375
transcript.pyannote[1055].speaker SPEAKER_17
transcript.pyannote[1055].start 5851.08284375
transcript.pyannote[1055].end 5855.30159375
transcript.pyannote[1056].speaker SPEAKER_17
transcript.pyannote[1056].start 5855.31846875
transcript.pyannote[1056].end 5856.51659375
transcript.pyannote[1057].speaker SPEAKER_17
transcript.pyannote[1057].start 5856.92159375
transcript.pyannote[1057].end 5857.90034375
transcript.pyannote[1058].speaker SPEAKER_17
transcript.pyannote[1058].start 5858.35596875
transcript.pyannote[1058].end 5860.53284375
transcript.pyannote[1059].speaker SPEAKER_17
transcript.pyannote[1059].start 5861.78159375
transcript.pyannote[1059].end 5863.03034375
transcript.pyannote[1060].speaker SPEAKER_24
transcript.pyannote[1060].start 5865.81471875
transcript.pyannote[1060].end 5866.08471875
transcript.pyannote[1061].speaker SPEAKER_24
transcript.pyannote[1061].start 5866.87784375
transcript.pyannote[1061].end 5875.28159375
transcript.pyannote[1062].speaker SPEAKER_24
transcript.pyannote[1062].start 5875.75409375
transcript.pyannote[1062].end 5878.57221875
transcript.pyannote[1063].speaker SPEAKER_24
transcript.pyannote[1063].start 5879.09534375
transcript.pyannote[1063].end 5880.76596875
transcript.pyannote[1064].speaker SPEAKER_24
transcript.pyannote[1064].start 5881.20471875
transcript.pyannote[1064].end 5883.38159375
transcript.pyannote[1065].speaker SPEAKER_17
transcript.pyannote[1065].start 5884.39409375
transcript.pyannote[1065].end 5886.43596875
transcript.pyannote[1066].speaker SPEAKER_17
transcript.pyannote[1066].start 5887.16159375
transcript.pyannote[1066].end 5888.46096875
transcript.pyannote[1067].speaker SPEAKER_17
transcript.pyannote[1067].start 5888.62971875
transcript.pyannote[1067].end 5889.76034375
transcript.pyannote[1068].speaker SPEAKER_17
transcript.pyannote[1068].start 5890.24971875
transcript.pyannote[1068].end 5890.70534375
transcript.pyannote[1069].speaker SPEAKER_24
transcript.pyannote[1069].start 5890.70534375
transcript.pyannote[1069].end 5890.72221875
transcript.pyannote[1070].speaker SPEAKER_24
transcript.pyannote[1070].start 5890.95846875
transcript.pyannote[1070].end 5891.26221875
transcript.pyannote[1071].speaker SPEAKER_24
transcript.pyannote[1071].start 5891.31284375
transcript.pyannote[1071].end 5895.97034375
transcript.pyannote[1072].speaker SPEAKER_24
transcript.pyannote[1072].start 5896.47659375
transcript.pyannote[1072].end 5898.02909375
transcript.pyannote[1073].speaker SPEAKER_24
transcript.pyannote[1073].start 5898.46784375
transcript.pyannote[1073].end 5899.39596875
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 5899.36221875
transcript.pyannote[1074].end 5899.37909375
transcript.pyannote[1075].speaker SPEAKER_17
transcript.pyannote[1075].start 5899.39596875
transcript.pyannote[1075].end 5901.72471875
transcript.pyannote[1076].speaker SPEAKER_24
transcript.pyannote[1076].start 5902.43346875
transcript.pyannote[1076].end 5911.69784375
transcript.pyannote[1077].speaker SPEAKER_24
transcript.pyannote[1077].start 5912.20409375
transcript.pyannote[1077].end 5920.64159375
transcript.pyannote[1078].speaker SPEAKER_17
transcript.pyannote[1078].start 5920.54034375
transcript.pyannote[1078].end 5925.85596875
transcript.pyannote[1079].speaker SPEAKER_24
transcript.pyannote[1079].start 5927.22284375
transcript.pyannote[1079].end 5930.47971875
transcript.pyannote[1080].speaker SPEAKER_17
transcript.pyannote[1080].start 5930.73284375
transcript.pyannote[1080].end 5933.11221875
transcript.pyannote[1081].speaker SPEAKER_17
transcript.pyannote[1081].start 5933.44971875
transcript.pyannote[1081].end 5935.35659375
transcript.pyannote[1082].speaker SPEAKER_17
transcript.pyannote[1082].start 5938.49534375
transcript.pyannote[1082].end 5939.05221875
transcript.pyannote[1083].speaker SPEAKER_24
transcript.pyannote[1083].start 5940.48659375
transcript.pyannote[1083].end 5941.41471875
transcript.pyannote[1084].speaker SPEAKER_24
transcript.pyannote[1084].start 5941.63409375
transcript.pyannote[1084].end 5945.31284375
transcript.pyannote[1085].speaker SPEAKER_17
transcript.pyannote[1085].start 5944.94159375
transcript.pyannote[1085].end 5945.85284375
transcript.pyannote[1086].speaker SPEAKER_17
transcript.pyannote[1086].start 5946.15659375
transcript.pyannote[1086].end 5946.44346875
transcript.pyannote[1087].speaker SPEAKER_24
transcript.pyannote[1087].start 5946.44346875
transcript.pyannote[1087].end 5946.57846875
transcript.pyannote[1088].speaker SPEAKER_17
transcript.pyannote[1088].start 5946.57846875
transcript.pyannote[1088].end 5946.61221875
transcript.pyannote[1089].speaker SPEAKER_17
transcript.pyannote[1089].start 5947.50659375
transcript.pyannote[1089].end 5949.05909375
transcript.pyannote[1090].speaker SPEAKER_24
transcript.pyannote[1090].start 5950.15596875
transcript.pyannote[1090].end 5950.42596875
transcript.pyannote[1091].speaker SPEAKER_17
transcript.pyannote[1091].start 5951.79284375
transcript.pyannote[1091].end 5953.78409375
transcript.pyannote[1092].speaker SPEAKER_24
transcript.pyannote[1092].start 5955.23534375
transcript.pyannote[1092].end 5955.79221875
transcript.pyannote[1093].speaker SPEAKER_24
transcript.pyannote[1093].start 5955.97784375
transcript.pyannote[1093].end 5959.50471875
transcript.pyannote[1094].speaker SPEAKER_17
transcript.pyannote[1094].start 5960.14596875
transcript.pyannote[1094].end 5960.61846875
transcript.pyannote[1095].speaker SPEAKER_17
transcript.pyannote[1095].start 5961.32721875
transcript.pyannote[1095].end 5961.98534375
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 5962.47471875
transcript.pyannote[1096].end 5963.85846875
transcript.pyannote[1097].speaker SPEAKER_24
transcript.pyannote[1097].start 5965.41096875
transcript.pyannote[1097].end 5966.52471875
transcript.pyannote[1098].speaker SPEAKER_24
transcript.pyannote[1098].start 5967.06471875
transcript.pyannote[1098].end 5967.99284375
transcript.pyannote[1099].speaker SPEAKER_24
transcript.pyannote[1099].start 5971.11471875
transcript.pyannote[1099].end 5972.00909375
transcript.pyannote[1100].speaker SPEAKER_24
transcript.pyannote[1100].start 5977.37534375
transcript.pyannote[1100].end 5978.40471875
transcript.pyannote[1101].speaker SPEAKER_24
transcript.pyannote[1101].start 5979.36659375
transcript.pyannote[1101].end 5981.66159375
transcript.pyannote[1102].speaker SPEAKER_24
transcript.pyannote[1102].start 5982.06659375
transcript.pyannote[1102].end 5982.15096875
transcript.pyannote[1103].speaker SPEAKER_17
transcript.pyannote[1103].start 5982.15096875
transcript.pyannote[1103].end 5988.51284375
transcript.pyannote[1104].speaker SPEAKER_24
transcript.pyannote[1104].start 5982.45471875
transcript.pyannote[1104].end 5983.97346875
transcript.pyannote[1105].speaker SPEAKER_24
transcript.pyannote[1105].start 5985.03659375
transcript.pyannote[1105].end 5985.72846875
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 5988.98534375
transcript.pyannote[1106].end 5991.88784375
transcript.pyannote[1107].speaker SPEAKER_17
transcript.pyannote[1107].start 5992.17471875
transcript.pyannote[1107].end 5992.90034375
transcript.pyannote[1108].speaker SPEAKER_17
transcript.pyannote[1108].start 5993.06909375
transcript.pyannote[1108].end 5994.40221875
transcript.pyannote[1109].speaker SPEAKER_24
transcript.pyannote[1109].start 5995.85346875
transcript.pyannote[1109].end 5996.22471875
transcript.pyannote[1110].speaker SPEAKER_24
transcript.pyannote[1110].start 5996.95034375
transcript.pyannote[1110].end 5997.92909375
transcript.pyannote[1111].speaker SPEAKER_24
transcript.pyannote[1111].start 5998.09784375
transcript.pyannote[1111].end 5999.00909375
transcript.pyannote[1112].speaker SPEAKER_24
transcript.pyannote[1112].start 5999.36346875
transcript.pyannote[1112].end 6005.43846875
transcript.pyannote[1113].speaker SPEAKER_24
transcript.pyannote[1113].start 6005.70846875
transcript.pyannote[1113].end 6005.79284375
transcript.pyannote[1114].speaker SPEAKER_17
transcript.pyannote[1114].start 6005.79284375
transcript.pyannote[1114].end 6006.16409375
transcript.pyannote[1115].speaker SPEAKER_24
transcript.pyannote[1115].start 6006.16409375
transcript.pyannote[1115].end 6006.24846875
transcript.pyannote[1116].speaker SPEAKER_17
transcript.pyannote[1116].start 6006.24846875
transcript.pyannote[1116].end 6006.31596875
transcript.pyannote[1117].speaker SPEAKER_24
transcript.pyannote[1117].start 6006.31596875
transcript.pyannote[1117].end 6006.43409375
transcript.pyannote[1118].speaker SPEAKER_17
transcript.pyannote[1118].start 6006.43409375
transcript.pyannote[1118].end 6006.63659375
transcript.pyannote[1119].speaker SPEAKER_24
transcript.pyannote[1119].start 6006.63659375
transcript.pyannote[1119].end 6007.09221875
transcript.pyannote[1120].speaker SPEAKER_17
transcript.pyannote[1120].start 6007.09221875
transcript.pyannote[1120].end 6007.10909375
transcript.pyannote[1121].speaker SPEAKER_24
transcript.pyannote[1121].start 6007.69971875
transcript.pyannote[1121].end 6007.96971875
transcript.pyannote[1122].speaker SPEAKER_17
transcript.pyannote[1122].start 6007.96971875
transcript.pyannote[1122].end 6008.03721875
transcript.pyannote[1123].speaker SPEAKER_24
transcript.pyannote[1123].start 6008.45909375
transcript.pyannote[1123].end 6008.47596875
transcript.pyannote[1124].speaker SPEAKER_17
transcript.pyannote[1124].start 6008.47596875
transcript.pyannote[1124].end 6009.28596875
transcript.pyannote[1125].speaker SPEAKER_17
transcript.pyannote[1125].start 6011.00721875
transcript.pyannote[1125].end 6012.45846875
transcript.pyannote[1126].speaker SPEAKER_06
transcript.pyannote[1126].start 6012.01971875
transcript.pyannote[1126].end 6014.68596875
transcript.pyannote[1127].speaker SPEAKER_17
transcript.pyannote[1127].start 6013.80846875
transcript.pyannote[1127].end 6017.82471875
transcript.pyannote[1128].speaker SPEAKER_24
transcript.pyannote[1128].start 6016.30596875
transcript.pyannote[1128].end 6018.83721875
transcript.pyannote[1129].speaker SPEAKER_17
transcript.pyannote[1129].start 6017.89221875
transcript.pyannote[1129].end 6018.85409375
transcript.pyannote[1130].speaker SPEAKER_24
transcript.pyannote[1130].start 6018.85409375
transcript.pyannote[1130].end 6018.90471875
transcript.pyannote[1131].speaker SPEAKER_24
transcript.pyannote[1131].start 6020.50784375
transcript.pyannote[1131].end 6021.89159375
transcript.pyannote[1132].speaker SPEAKER_17
transcript.pyannote[1132].start 6022.04346875
transcript.pyannote[1132].end 6028.59096875
transcript.pyannote[1133].speaker SPEAKER_24
transcript.pyannote[1133].start 6022.11096875
transcript.pyannote[1133].end 6024.70971875
transcript.pyannote[1134].speaker SPEAKER_24
transcript.pyannote[1134].start 6027.88221875
transcript.pyannote[1134].end 6036.52221875
transcript.pyannote[1135].speaker SPEAKER_17
transcript.pyannote[1135].start 6034.66596875
transcript.pyannote[1135].end 6036.18471875
transcript.pyannote[1136].speaker SPEAKER_17
transcript.pyannote[1136].start 6036.52221875
transcript.pyannote[1136].end 6036.65721875
transcript.pyannote[1137].speaker SPEAKER_24
transcript.pyannote[1137].start 6037.09596875
transcript.pyannote[1137].end 6039.98159375
transcript.pyannote[1138].speaker SPEAKER_17
transcript.pyannote[1138].start 6037.12971875
transcript.pyannote[1138].end 6037.72034375
transcript.pyannote[1139].speaker SPEAKER_24
transcript.pyannote[1139].start 6040.09971875
transcript.pyannote[1139].end 6041.09534375
transcript.pyannote[1140].speaker SPEAKER_24
transcript.pyannote[1140].start 6041.82096875
transcript.pyannote[1140].end 6042.79971875
transcript.pyannote[1141].speaker SPEAKER_24
transcript.pyannote[1141].start 6043.30596875
transcript.pyannote[1141].end 6043.96409375
transcript.pyannote[1142].speaker SPEAKER_17
transcript.pyannote[1142].start 6043.96409375
transcript.pyannote[1142].end 6044.04846875
transcript.pyannote[1143].speaker SPEAKER_24
transcript.pyannote[1143].start 6044.04846875
transcript.pyannote[1143].end 6044.18346875
transcript.pyannote[1144].speaker SPEAKER_17
transcript.pyannote[1144].start 6044.18346875
transcript.pyannote[1144].end 6044.31846875
transcript.pyannote[1145].speaker SPEAKER_24
transcript.pyannote[1145].start 6044.62221875
transcript.pyannote[1145].end 6044.63909375
transcript.pyannote[1146].speaker SPEAKER_17
transcript.pyannote[1146].start 6044.63909375
transcript.pyannote[1146].end 6044.72346875
transcript.pyannote[1147].speaker SPEAKER_24
transcript.pyannote[1147].start 6044.72346875
transcript.pyannote[1147].end 6044.97659375
transcript.pyannote[1148].speaker SPEAKER_17
transcript.pyannote[1148].start 6044.97659375
transcript.pyannote[1148].end 6045.49971875
transcript.pyannote[1149].speaker SPEAKER_24
transcript.pyannote[1149].start 6046.20846875
transcript.pyannote[1149].end 6059.30346875
transcript.pyannote[1150].speaker SPEAKER_17
transcript.pyannote[1150].start 6046.36034375
transcript.pyannote[1150].end 6047.25471875
transcript.pyannote[1151].speaker SPEAKER_17
transcript.pyannote[1151].start 6051.22034375
transcript.pyannote[1151].end 6052.68846875
transcript.pyannote[1152].speaker SPEAKER_22
transcript.pyannote[1152].start 6060.21471875
transcript.pyannote[1152].end 6062.27346875
transcript.pyannote[1153].speaker SPEAKER_06
transcript.pyannote[1153].start 6063.47159375
transcript.pyannote[1153].end 6063.96096875
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 6069.39471875
transcript.pyannote[1154].end 6069.41159375
transcript.pyannote[1155].speaker SPEAKER_17
transcript.pyannote[1155].start 6069.41159375
transcript.pyannote[1155].end 6070.64346875
transcript.pyannote[1156].speaker SPEAKER_17
transcript.pyannote[1156].start 6070.89659375
transcript.pyannote[1156].end 6072.48284375
transcript.pyannote[1157].speaker SPEAKER_01
transcript.pyannote[1157].start 6076.27971875
transcript.pyannote[1157].end 6080.34659375
transcript.pyannote[1158].speaker SPEAKER_01
transcript.pyannote[1158].start 6080.90346875
transcript.pyannote[1158].end 6083.36721875
transcript.pyannote[1159].speaker SPEAKER_17
transcript.pyannote[1159].start 6083.87346875
transcript.pyannote[1159].end 6084.49784375
transcript.pyannote[1160].speaker SPEAKER_01
transcript.pyannote[1160].start 6090.11721875
transcript.pyannote[1160].end 6090.70784375
transcript.pyannote[1161].speaker SPEAKER_22
transcript.pyannote[1161].start 6091.11284375
transcript.pyannote[1161].end 6091.21409375
transcript.pyannote[1162].speaker SPEAKER_01
transcript.pyannote[1162].start 6091.21409375
transcript.pyannote[1162].end 6091.45034375
transcript.pyannote[1163].speaker SPEAKER_22
transcript.pyannote[1163].start 6091.45034375
transcript.pyannote[1163].end 6092.04096875
transcript.pyannote[1164].speaker SPEAKER_22
transcript.pyannote[1164].start 6092.05784375
transcript.pyannote[1164].end 6092.07471875
transcript.pyannote[1165].speaker SPEAKER_22
transcript.pyannote[1165].start 6092.49659375
transcript.pyannote[1165].end 6116.22284375
transcript.pyannote[1166].speaker SPEAKER_22
transcript.pyannote[1166].start 6116.40846875
transcript.pyannote[1166].end 6119.63159375
transcript.pyannote[1167].speaker SPEAKER_22
transcript.pyannote[1167].start 6119.88471875
transcript.pyannote[1167].end 6175.69034375
transcript.pyannote[1168].speaker SPEAKER_22
transcript.pyannote[1168].start 6176.28096875
transcript.pyannote[1168].end 6178.54221875
transcript.pyannote[1169].speaker SPEAKER_22
transcript.pyannote[1169].start 6178.81221875
transcript.pyannote[1169].end 6183.67221875
transcript.pyannote[1170].speaker SPEAKER_22
transcript.pyannote[1170].start 6184.54971875
transcript.pyannote[1170].end 6184.81971875
transcript.pyannote[1171].speaker SPEAKER_24
transcript.pyannote[1171].start 6186.11909375
transcript.pyannote[1171].end 6190.42221875
transcript.pyannote[1172].speaker SPEAKER_24
transcript.pyannote[1172].start 6190.65846875
transcript.pyannote[1172].end 6191.73846875
transcript.pyannote[1173].speaker SPEAKER_24
transcript.pyannote[1173].start 6192.21096875
transcript.pyannote[1173].end 6196.09221875
transcript.pyannote[1174].speaker SPEAKER_22
transcript.pyannote[1174].start 6195.41721875
transcript.pyannote[1174].end 6211.49909375
transcript.pyannote[1175].speaker SPEAKER_22
transcript.pyannote[1175].start 6211.66784375
transcript.pyannote[1175].end 6211.98846875
transcript.pyannote[1176].speaker SPEAKER_03
transcript.pyannote[1176].start 6211.98846875
transcript.pyannote[1176].end 6212.00534375
transcript.pyannote[1177].speaker SPEAKER_24
transcript.pyannote[1177].start 6213.94596875
transcript.pyannote[1177].end 6220.42596875
transcript.pyannote[1178].speaker SPEAKER_24
transcript.pyannote[1178].start 6222.33284375
transcript.pyannote[1178].end 6225.58971875
transcript.pyannote[1179].speaker SPEAKER_22
transcript.pyannote[1179].start 6224.88096875
transcript.pyannote[1179].end 6237.04784375
transcript.pyannote[1180].speaker SPEAKER_22
transcript.pyannote[1180].start 6237.19971875
transcript.pyannote[1180].end 6244.45596875
transcript.pyannote[1181].speaker SPEAKER_22
transcript.pyannote[1181].start 6244.69221875
transcript.pyannote[1181].end 6260.79096875
transcript.pyannote[1182].speaker SPEAKER_22
transcript.pyannote[1182].start 6260.99346875
transcript.pyannote[1182].end 6275.32034375
transcript.pyannote[1183].speaker SPEAKER_22
transcript.pyannote[1183].start 6275.72534375
transcript.pyannote[1183].end 6288.28034375
transcript.pyannote[1184].speaker SPEAKER_22
transcript.pyannote[1184].start 6288.63471875
transcript.pyannote[1184].end 6305.69534375
transcript.pyannote[1185].speaker SPEAKER_22
transcript.pyannote[1185].start 6306.10034375
transcript.pyannote[1185].end 6310.63971875
transcript.pyannote[1186].speaker SPEAKER_06
transcript.pyannote[1186].start 6311.51721875
transcript.pyannote[1186].end 6325.15221875
transcript.pyannote[1187].speaker SPEAKER_06
transcript.pyannote[1187].start 6325.42221875
transcript.pyannote[1187].end 6328.49346875
transcript.pyannote[1188].speaker SPEAKER_06
transcript.pyannote[1188].start 6328.76346875
transcript.pyannote[1188].end 6332.62784375
transcript.pyannote[1189].speaker SPEAKER_06
transcript.pyannote[1189].start 6332.77971875
transcript.pyannote[1189].end 6347.44409375
transcript.pyannote[1190].speaker SPEAKER_22
transcript.pyannote[1190].start 6346.61721875
transcript.pyannote[1190].end 6361.58534375
transcript.pyannote[1191].speaker SPEAKER_06
transcript.pyannote[1191].start 6361.58534375
transcript.pyannote[1191].end 6363.35721875
transcript.pyannote[1192].speaker SPEAKER_06
transcript.pyannote[1192].start 6363.96471875
transcript.pyannote[1192].end 6374.42721875
transcript.pyannote[1193].speaker SPEAKER_18
transcript.pyannote[1193].start 6374.42721875
transcript.pyannote[1193].end 6374.56221875
transcript.pyannote[1194].speaker SPEAKER_06
transcript.pyannote[1194].start 6374.56221875
transcript.pyannote[1194].end 6378.39284375
transcript.pyannote[1195].speaker SPEAKER_18
transcript.pyannote[1195].start 6374.59596875
transcript.pyannote[1195].end 6374.64659375
transcript.pyannote[1196].speaker SPEAKER_06
transcript.pyannote[1196].start 6378.67971875
transcript.pyannote[1196].end 6381.64971875
transcript.pyannote[1197].speaker SPEAKER_22
transcript.pyannote[1197].start 6381.17721875
transcript.pyannote[1197].end 6406.03409375
transcript.pyannote[1198].speaker SPEAKER_22
transcript.pyannote[1198].start 6406.79346875
transcript.pyannote[1198].end 6410.74221875
transcript.pyannote[1199].speaker SPEAKER_22
transcript.pyannote[1199].start 6411.55221875
transcript.pyannote[1199].end 6422.23409375
transcript.pyannote[1200].speaker SPEAKER_22
transcript.pyannote[1200].start 6422.85846875
transcript.pyannote[1200].end 6441.91034375
transcript.pyannote[1201].speaker SPEAKER_06
transcript.pyannote[1201].start 6442.87221875
transcript.pyannote[1201].end 6454.65096875
transcript.pyannote[1202].speaker SPEAKER_22
transcript.pyannote[1202].start 6452.65971875
transcript.pyannote[1202].end 6472.15034375
transcript.pyannote[1203].speaker SPEAKER_06
transcript.pyannote[1203].start 6472.15034375
transcript.pyannote[1203].end 6477.98909375
transcript.pyannote[1204].speaker SPEAKER_22
transcript.pyannote[1204].start 6477.76971875
transcript.pyannote[1204].end 6484.55346875
transcript.pyannote[1205].speaker SPEAKER_22
transcript.pyannote[1205].start 6485.46471875
transcript.pyannote[1205].end 6486.71346875
transcript.pyannote[1206].speaker SPEAKER_22
transcript.pyannote[1206].start 6487.15221875
transcript.pyannote[1206].end 6489.21096875
transcript.pyannote[1207].speaker SPEAKER_22
transcript.pyannote[1207].start 6489.86909375
transcript.pyannote[1207].end 6500.92221875
transcript.pyannote[1208].speaker SPEAKER_22
transcript.pyannote[1208].start 6501.46221875
transcript.pyannote[1208].end 6509.47784375
transcript.pyannote[1209].speaker SPEAKER_22
transcript.pyannote[1209].start 6509.91659375
transcript.pyannote[1209].end 6510.28784375
transcript.pyannote[1210].speaker SPEAKER_06
transcript.pyannote[1210].start 6510.72659375
transcript.pyannote[1210].end 6514.40534375
transcript.pyannote[1211].speaker SPEAKER_22
transcript.pyannote[1211].start 6514.16909375
transcript.pyannote[1211].end 6533.91284375
transcript.pyannote[1212].speaker SPEAKER_22
transcript.pyannote[1212].start 6533.98034375
transcript.pyannote[1212].end 6549.91034375
transcript.pyannote[1213].speaker SPEAKER_22
transcript.pyannote[1213].start 6550.21409375
transcript.pyannote[1213].end 6570.75096875
transcript.pyannote[1214].speaker SPEAKER_06
transcript.pyannote[1214].start 6570.75096875
transcript.pyannote[1214].end 6582.81659375
transcript.pyannote[1215].speaker SPEAKER_22
transcript.pyannote[1215].start 6582.81659375
transcript.pyannote[1215].end 6591.99659375
transcript.pyannote[1216].speaker SPEAKER_06
transcript.pyannote[1216].start 6591.84471875
transcript.pyannote[1216].end 6596.01284375
transcript.pyannote[1217].speaker SPEAKER_22
transcript.pyannote[1217].start 6595.06784375
transcript.pyannote[1217].end 6598.64534375
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 6598.67909375
transcript.pyannote[1218].end 6602.13846875
transcript.pyannote[1219].speaker SPEAKER_06
transcript.pyannote[1219].start 6600.83909375
transcript.pyannote[1219].end 6604.66971875
transcript.pyannote[1220].speaker SPEAKER_22
transcript.pyannote[1220].start 6604.02846875
transcript.pyannote[1220].end 6604.04534375
transcript.pyannote[1221].speaker SPEAKER_22
transcript.pyannote[1221].start 6604.66971875
transcript.pyannote[1221].end 6619.94159375
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 6621.54471875
transcript.pyannote[1222].end 6629.83034375
transcript.pyannote[1223].speaker SPEAKER_06
transcript.pyannote[1223].start 6630.45471875
transcript.pyannote[1223].end 6640.30971875
transcript.pyannote[1224].speaker SPEAKER_22
transcript.pyannote[1224].start 6639.09471875
transcript.pyannote[1224].end 6639.16221875
transcript.pyannote[1225].speaker SPEAKER_22
transcript.pyannote[1225].start 6640.30971875
transcript.pyannote[1225].end 6652.62846875
transcript.pyannote[1226].speaker SPEAKER_22
transcript.pyannote[1226].start 6652.89846875
transcript.pyannote[1226].end 6653.33721875
transcript.pyannote[1227].speaker SPEAKER_06
transcript.pyannote[1227].start 6653.33721875
transcript.pyannote[1227].end 6664.33971875
transcript.pyannote[1228].speaker SPEAKER_22
transcript.pyannote[1228].start 6659.78346875
transcript.pyannote[1228].end 6660.94784375
transcript.pyannote[1229].speaker SPEAKER_22
transcript.pyannote[1229].start 6663.46221875
transcript.pyannote[1229].end 6676.74284375
transcript.pyannote[1230].speaker SPEAKER_06
transcript.pyannote[1230].start 6664.86284375
transcript.pyannote[1230].end 6665.26784375
transcript.pyannote[1231].speaker SPEAKER_22
transcript.pyannote[1231].start 6677.29971875
transcript.pyannote[1231].end 6684.26909375
transcript.pyannote[1232].speaker SPEAKER_06
transcript.pyannote[1232].start 6684.74159375
transcript.pyannote[1232].end 6685.48409375
transcript.pyannote[1233].speaker SPEAKER_06
transcript.pyannote[1233].start 6685.65284375
transcript.pyannote[1233].end 6689.87159375
transcript.pyannote[1234].speaker SPEAKER_06
transcript.pyannote[1234].start 6690.36096875
transcript.pyannote[1234].end 6697.98846875
transcript.pyannote[1235].speaker SPEAKER_22
transcript.pyannote[1235].start 6697.87034375
transcript.pyannote[1235].end 6702.30846875
transcript.pyannote[1236].speaker SPEAKER_06
transcript.pyannote[1236].start 6699.11909375
transcript.pyannote[1236].end 6699.20346875
transcript.pyannote[1237].speaker SPEAKER_22
transcript.pyannote[1237].start 6702.59534375
transcript.pyannote[1237].end 6704.58659375
transcript.pyannote[1238].speaker SPEAKER_06
transcript.pyannote[1238].start 6704.58659375
transcript.pyannote[1238].end 6705.63284375
transcript.pyannote[1239].speaker SPEAKER_06
transcript.pyannote[1239].start 6706.03784375
transcript.pyannote[1239].end 6709.76721875
transcript.pyannote[1240].speaker SPEAKER_06
transcript.pyannote[1240].start 6710.10471875
transcript.pyannote[1240].end 6716.06159375
transcript.pyannote[1241].speaker SPEAKER_22
transcript.pyannote[1241].start 6715.72409375
transcript.pyannote[1241].end 6720.60096875
transcript.pyannote[1242].speaker SPEAKER_22
transcript.pyannote[1242].start 6720.97221875
transcript.pyannote[1242].end 6727.97534375
transcript.pyannote[1243].speaker SPEAKER_06
transcript.pyannote[1243].start 6725.35971875
transcript.pyannote[1243].end 6725.62971875
transcript.pyannote[1244].speaker SPEAKER_06
transcript.pyannote[1244].start 6727.63784375
transcript.pyannote[1244].end 6732.48096875
transcript.pyannote[1245].speaker SPEAKER_06
transcript.pyannote[1245].start 6732.64971875
transcript.pyannote[1245].end 6741.99846875
transcript.pyannote[1246].speaker SPEAKER_22
transcript.pyannote[1246].start 6740.19284375
transcript.pyannote[1246].end 6745.91346875
transcript.pyannote[1247].speaker SPEAKER_06
transcript.pyannote[1247].start 6746.90909375
transcript.pyannote[1247].end 6753.10221875
transcript.pyannote[1248].speaker SPEAKER_22
transcript.pyannote[1248].start 6752.02221875
transcript.pyannote[1248].end 6754.11471875
transcript.pyannote[1249].speaker SPEAKER_06
transcript.pyannote[1249].start 6754.45221875
transcript.pyannote[1249].end 6758.33346875
transcript.pyannote[1250].speaker SPEAKER_22
transcript.pyannote[1250].start 6757.48971875
transcript.pyannote[1250].end 6760.20659375
transcript.pyannote[1251].speaker SPEAKER_06
transcript.pyannote[1251].start 6759.32909375
transcript.pyannote[1251].end 6763.24409375
transcript.pyannote[1252].speaker SPEAKER_06
transcript.pyannote[1252].start 6763.68284375
transcript.pyannote[1252].end 6766.34909375
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 6766.39971875
transcript.pyannote[1253].end 6769.79159375
transcript.pyannote[1254].speaker SPEAKER_06
transcript.pyannote[1254].start 6769.79159375
transcript.pyannote[1254].end 6770.97284375
transcript.pyannote[1255].speaker SPEAKER_17
transcript.pyannote[1255].start 6771.61409375
transcript.pyannote[1255].end 6773.99346875
transcript.pyannote[1256].speaker SPEAKER_17
transcript.pyannote[1256].start 6774.41534375
transcript.pyannote[1256].end 6776.22096875
transcript.pyannote[1257].speaker SPEAKER_17
transcript.pyannote[1257].start 6776.33909375
transcript.pyannote[1257].end 6777.03096875
transcript.pyannote[1258].speaker SPEAKER_17
transcript.pyannote[1258].start 6777.25034375
transcript.pyannote[1258].end 6777.48659375
transcript.pyannote[1259].speaker SPEAKER_17
transcript.pyannote[1259].start 6778.87034375
transcript.pyannote[1259].end 6779.25846875
transcript.pyannote[1260].speaker SPEAKER_09
transcript.pyannote[1260].start 6782.86971875
transcript.pyannote[1260].end 6783.88221875
transcript.pyannote[1261].speaker SPEAKER_09
transcript.pyannote[1261].start 6784.23659375
transcript.pyannote[1261].end 6789.21471875
transcript.pyannote[1262].speaker SPEAKER_01
transcript.pyannote[1262].start 6786.90284375
transcript.pyannote[1262].end 6787.69596875
transcript.pyannote[1263].speaker SPEAKER_01
transcript.pyannote[1263].start 6789.21471875
transcript.pyannote[1263].end 6789.99096875
transcript.pyannote[1264].speaker SPEAKER_01
transcript.pyannote[1264].start 6795.52596875
transcript.pyannote[1264].end 6796.20096875
transcript.pyannote[1265].speaker SPEAKER_05
transcript.pyannote[1265].start 6796.20096875
transcript.pyannote[1265].end 6796.25159375
transcript.pyannote[1266].speaker SPEAKER_09
transcript.pyannote[1266].start 6796.40346875
transcript.pyannote[1266].end 6796.89284375
transcript.pyannote[1267].speaker SPEAKER_09
transcript.pyannote[1267].start 6797.31471875
transcript.pyannote[1267].end 6797.77034375
transcript.pyannote[1268].speaker SPEAKER_09
transcript.pyannote[1268].start 6798.71534375
transcript.pyannote[1268].end 6799.71096875
transcript.pyannote[1269].speaker SPEAKER_09
transcript.pyannote[1269].start 6800.41971875
transcript.pyannote[1269].end 6802.66409375
transcript.pyannote[1270].speaker SPEAKER_09
transcript.pyannote[1270].start 6802.91721875
transcript.pyannote[1270].end 6806.17409375
transcript.pyannote[1271].speaker SPEAKER_09
transcript.pyannote[1271].start 6806.78159375
transcript.pyannote[1271].end 6808.33409375
transcript.pyannote[1272].speaker SPEAKER_09
transcript.pyannote[1272].start 6808.63784375
transcript.pyannote[1272].end 6809.98784375
transcript.pyannote[1273].speaker SPEAKER_09
transcript.pyannote[1273].start 6810.37596875
transcript.pyannote[1273].end 6812.35034375
transcript.pyannote[1274].speaker SPEAKER_09
transcript.pyannote[1274].start 6812.58659375
transcript.pyannote[1274].end 6814.03784375
transcript.pyannote[1275].speaker SPEAKER_09
transcript.pyannote[1275].start 6814.42596875
transcript.pyannote[1275].end 6819.77534375
transcript.pyannote[1276].speaker SPEAKER_09
transcript.pyannote[1276].start 6820.07909375
transcript.pyannote[1276].end 6821.09159375
transcript.pyannote[1277].speaker SPEAKER_09
transcript.pyannote[1277].start 6821.42909375
transcript.pyannote[1277].end 6827.80784375
transcript.pyannote[1278].speaker SPEAKER_09
transcript.pyannote[1278].start 6828.48284375
transcript.pyannote[1278].end 6832.36409375
transcript.pyannote[1279].speaker SPEAKER_09
transcript.pyannote[1279].start 6832.95471875
transcript.pyannote[1279].end 6835.57034375
transcript.pyannote[1280].speaker SPEAKER_09
transcript.pyannote[1280].start 6836.22846875
transcript.pyannote[1280].end 6838.11846875
transcript.pyannote[1281].speaker SPEAKER_09
transcript.pyannote[1281].start 6838.42221875
transcript.pyannote[1281].end 6842.23596875
transcript.pyannote[1282].speaker SPEAKER_09
transcript.pyannote[1282].start 6842.64096875
transcript.pyannote[1282].end 6843.38346875
transcript.pyannote[1283].speaker SPEAKER_09
transcript.pyannote[1283].start 6843.75471875
transcript.pyannote[1283].end 6848.37846875
transcript.pyannote[1284].speaker SPEAKER_06
transcript.pyannote[1284].start 6848.98596875
transcript.pyannote[1284].end 6850.58909375
transcript.pyannote[1285].speaker SPEAKER_06
transcript.pyannote[1285].start 6850.96034375
transcript.pyannote[1285].end 6863.07659375
transcript.pyannote[1286].speaker SPEAKER_09
transcript.pyannote[1286].start 6863.07659375
transcript.pyannote[1286].end 6868.66221875
transcript.pyannote[1287].speaker SPEAKER_09
transcript.pyannote[1287].start 6869.23596875
transcript.pyannote[1287].end 6871.05846875
transcript.pyannote[1288].speaker SPEAKER_09
transcript.pyannote[1288].start 6871.56471875
transcript.pyannote[1288].end 6878.07846875
transcript.pyannote[1289].speaker SPEAKER_09
transcript.pyannote[1289].start 6878.21346875
transcript.pyannote[1289].end 6879.32721875
transcript.pyannote[1290].speaker SPEAKER_09
transcript.pyannote[1290].start 6879.51284375
transcript.pyannote[1290].end 6881.75721875
transcript.pyannote[1291].speaker SPEAKER_06
transcript.pyannote[1291].start 6883.27596875
transcript.pyannote[1291].end 6894.86909375
transcript.pyannote[1292].speaker SPEAKER_09
transcript.pyannote[1292].start 6893.94096875
transcript.pyannote[1292].end 6893.95784375
transcript.pyannote[1293].speaker SPEAKER_09
transcript.pyannote[1293].start 6895.05471875
transcript.pyannote[1293].end 6896.74221875
transcript.pyannote[1294].speaker SPEAKER_06
transcript.pyannote[1294].start 6897.88971875
transcript.pyannote[1294].end 6909.55034375
transcript.pyannote[1295].speaker SPEAKER_09
transcript.pyannote[1295].start 6898.14284375
transcript.pyannote[1295].end 6899.27346875
transcript.pyannote[1296].speaker SPEAKER_09
transcript.pyannote[1296].start 6909.55034375
transcript.pyannote[1296].end 6915.25409375
transcript.pyannote[1297].speaker SPEAKER_09
transcript.pyannote[1297].start 6915.45659375
transcript.pyannote[1297].end 6918.42659375
transcript.pyannote[1298].speaker SPEAKER_09
transcript.pyannote[1298].start 6918.62909375
transcript.pyannote[1298].end 6920.41784375
transcript.pyannote[1299].speaker SPEAKER_09
transcript.pyannote[1299].start 6920.87346875
transcript.pyannote[1299].end 6929.90159375
transcript.pyannote[1300].speaker SPEAKER_06
transcript.pyannote[1300].start 6930.57659375
transcript.pyannote[1300].end 6945.30846875
transcript.pyannote[1301].speaker SPEAKER_09
transcript.pyannote[1301].start 6936.22971875
transcript.pyannote[1301].end 6936.58409375
transcript.pyannote[1302].speaker SPEAKER_09
transcript.pyannote[1302].start 6944.53221875
transcript.pyannote[1302].end 6949.84784375
transcript.pyannote[1303].speaker SPEAKER_06
transcript.pyannote[1303].start 6950.59034375
transcript.pyannote[1303].end 6951.92346875
transcript.pyannote[1304].speaker SPEAKER_09
transcript.pyannote[1304].start 6951.02909375
transcript.pyannote[1304].end 6954.97784375
transcript.pyannote[1305].speaker SPEAKER_06
transcript.pyannote[1305].start 6953.22284375
transcript.pyannote[1305].end 6960.96846875
transcript.pyannote[1306].speaker SPEAKER_09
transcript.pyannote[1306].start 6960.59721875
transcript.pyannote[1306].end 6974.24909375
transcript.pyannote[1307].speaker SPEAKER_03
transcript.pyannote[1307].start 6974.90721875
transcript.pyannote[1307].end 6977.11784375
transcript.pyannote[1308].speaker SPEAKER_09
transcript.pyannote[1308].start 6975.22784375
transcript.pyannote[1308].end 6979.19346875
transcript.pyannote[1309].speaker SPEAKER_09
transcript.pyannote[1309].start 6979.42971875
transcript.pyannote[1309].end 6981.13409375
transcript.pyannote[1310].speaker SPEAKER_09
transcript.pyannote[1310].start 6981.75846875
transcript.pyannote[1310].end 6983.37846875
transcript.pyannote[1311].speaker SPEAKER_09
transcript.pyannote[1311].start 6983.83409375
transcript.pyannote[1311].end 6987.00659375
transcript.pyannote[1312].speaker SPEAKER_09
transcript.pyannote[1312].start 6987.58034375
transcript.pyannote[1312].end 6987.63096875
transcript.pyannote[1313].speaker SPEAKER_06
transcript.pyannote[1313].start 6987.63096875
transcript.pyannote[1313].end 7001.02971875
transcript.pyannote[1314].speaker SPEAKER_09
transcript.pyannote[1314].start 7001.02971875
transcript.pyannote[1314].end 7005.48471875
transcript.pyannote[1315].speaker SPEAKER_06
transcript.pyannote[1315].start 7005.48471875
transcript.pyannote[1315].end 7018.83284375
transcript.pyannote[1316].speaker SPEAKER_09
transcript.pyannote[1316].start 7019.10284375
transcript.pyannote[1316].end 7021.24596875
transcript.pyannote[1317].speaker SPEAKER_09
transcript.pyannote[1317].start 7021.43159375
transcript.pyannote[1317].end 7028.94096875
transcript.pyannote[1318].speaker SPEAKER_09
transcript.pyannote[1318].start 7029.54846875
transcript.pyannote[1318].end 7034.66159375
transcript.pyannote[1319].speaker SPEAKER_09
transcript.pyannote[1319].start 7035.11721875
transcript.pyannote[1319].end 7041.78284375
transcript.pyannote[1320].speaker SPEAKER_09
transcript.pyannote[1320].start 7042.22159375
transcript.pyannote[1320].end 7050.37221875
transcript.pyannote[1321].speaker SPEAKER_09
transcript.pyannote[1321].start 7050.60846875
transcript.pyannote[1321].end 7061.79659375
transcript.pyannote[1322].speaker SPEAKER_09
transcript.pyannote[1322].start 7062.30284375
transcript.pyannote[1322].end 7063.34909375
transcript.pyannote[1323].speaker SPEAKER_09
transcript.pyannote[1323].start 7064.14221875
transcript.pyannote[1323].end 7065.96471875
transcript.pyannote[1324].speaker SPEAKER_06
transcript.pyannote[1324].start 7066.45409375
transcript.pyannote[1324].end 7073.57534375
transcript.pyannote[1325].speaker SPEAKER_06
transcript.pyannote[1325].start 7073.94659375
transcript.pyannote[1325].end 7079.54909375
transcript.pyannote[1326].speaker SPEAKER_09
transcript.pyannote[1326].start 7079.76846875
transcript.pyannote[1326].end 7081.20284375
transcript.pyannote[1327].speaker SPEAKER_09
transcript.pyannote[1327].start 7081.45596875
transcript.pyannote[1327].end 7081.96221875
transcript.pyannote[1328].speaker SPEAKER_09
transcript.pyannote[1328].start 7082.31659375
transcript.pyannote[1328].end 7085.40471875
transcript.pyannote[1329].speaker SPEAKER_09
transcript.pyannote[1329].start 7085.99534375
transcript.pyannote[1329].end 7096.79534375
transcript.pyannote[1330].speaker SPEAKER_09
transcript.pyannote[1330].start 7098.04409375
transcript.pyannote[1330].end 7098.70221875
transcript.pyannote[1331].speaker SPEAKER_09
transcript.pyannote[1331].start 7099.90034375
transcript.pyannote[1331].end 7108.48971875
transcript.pyannote[1332].speaker SPEAKER_09
transcript.pyannote[1332].start 7108.70909375
transcript.pyannote[1332].end 7114.10909375
transcript.pyannote[1333].speaker SPEAKER_09
transcript.pyannote[1333].start 7114.63221875
transcript.pyannote[1333].end 7117.60221875
transcript.pyannote[1334].speaker SPEAKER_09
transcript.pyannote[1334].start 7117.72034375
transcript.pyannote[1334].end 7122.07409375
transcript.pyannote[1335].speaker SPEAKER_09
transcript.pyannote[1335].start 7122.19221875
transcript.pyannote[1335].end 7124.92596875
transcript.pyannote[1336].speaker SPEAKER_09
transcript.pyannote[1336].start 7125.28034375
transcript.pyannote[1336].end 7138.44284375
transcript.pyannote[1337].speaker SPEAKER_09
transcript.pyannote[1337].start 7138.88159375
transcript.pyannote[1337].end 7139.47221875
transcript.pyannote[1338].speaker SPEAKER_09
transcript.pyannote[1338].start 7139.89409375
transcript.pyannote[1338].end 7140.41721875
transcript.pyannote[1339].speaker SPEAKER_06
transcript.pyannote[1339].start 7141.96971875
transcript.pyannote[1339].end 7142.52659375
transcript.pyannote[1340].speaker SPEAKER_06
transcript.pyannote[1340].start 7142.76284375
transcript.pyannote[1340].end 7142.96534375
transcript.pyannote[1341].speaker SPEAKER_09
transcript.pyannote[1341].start 7142.96534375
transcript.pyannote[1341].end 7146.79596875
transcript.pyannote[1342].speaker SPEAKER_09
transcript.pyannote[1342].start 7147.40346875
transcript.pyannote[1342].end 7147.82534375
transcript.pyannote[1343].speaker SPEAKER_09
transcript.pyannote[1343].start 7148.19659375
transcript.pyannote[1343].end 7149.22596875
transcript.pyannote[1344].speaker SPEAKER_09
transcript.pyannote[1344].start 7149.86721875
transcript.pyannote[1344].end 7152.61784375
transcript.pyannote[1345].speaker SPEAKER_09
transcript.pyannote[1345].start 7153.17471875
transcript.pyannote[1345].end 7160.24534375
transcript.pyannote[1346].speaker SPEAKER_09
transcript.pyannote[1346].start 7160.68409375
transcript.pyannote[1346].end 7162.01721875
transcript.pyannote[1347].speaker SPEAKER_06
transcript.pyannote[1347].start 7162.11846875
transcript.pyannote[1347].end 7167.06284375
transcript.pyannote[1348].speaker SPEAKER_06
transcript.pyannote[1348].start 7167.36659375
transcript.pyannote[1348].end 7172.10846875
transcript.pyannote[1349].speaker SPEAKER_06
transcript.pyannote[1349].start 7172.32784375
transcript.pyannote[1349].end 7177.50846875
transcript.pyannote[1350].speaker SPEAKER_06
transcript.pyannote[1350].start 7177.77846875
transcript.pyannote[1350].end 7180.90034375
transcript.pyannote[1351].speaker SPEAKER_06
transcript.pyannote[1351].start 7181.03534375
transcript.pyannote[1351].end 7187.63346875
transcript.pyannote[1352].speaker SPEAKER_06
transcript.pyannote[1352].start 7187.68409375
transcript.pyannote[1352].end 7195.07534375
transcript.pyannote[1353].speaker SPEAKER_09
transcript.pyannote[1353].start 7195.26096875
transcript.pyannote[1353].end 7206.98909375
transcript.pyannote[1354].speaker SPEAKER_09
transcript.pyannote[1354].start 7207.22534375
transcript.pyannote[1354].end 7214.12721875
transcript.pyannote[1355].speaker SPEAKER_09
transcript.pyannote[1355].start 7214.54909375
transcript.pyannote[1355].end 7217.02971875
transcript.pyannote[1356].speaker SPEAKER_09
transcript.pyannote[1356].start 7217.36721875
transcript.pyannote[1356].end 7223.88096875
transcript.pyannote[1357].speaker SPEAKER_06
transcript.pyannote[1357].start 7225.41659375
transcript.pyannote[1357].end 7228.77471875
transcript.pyannote[1358].speaker SPEAKER_09
transcript.pyannote[1358].start 7228.15034375
transcript.pyannote[1358].end 7228.97721875
transcript.pyannote[1359].speaker SPEAKER_06
transcript.pyannote[1359].start 7229.58471875
transcript.pyannote[1359].end 7235.40659375
transcript.pyannote[1360].speaker SPEAKER_06
transcript.pyannote[1360].start 7236.25034375
transcript.pyannote[1360].end 7236.92534375
transcript.pyannote[1361].speaker SPEAKER_09
transcript.pyannote[1361].start 7236.48659375
transcript.pyannote[1361].end 7240.53659375
transcript.pyannote[1362].speaker SPEAKER_09
transcript.pyannote[1362].start 7241.04284375
transcript.pyannote[1362].end 7242.44346875
transcript.pyannote[1363].speaker SPEAKER_06
transcript.pyannote[1363].start 7241.51534375
transcript.pyannote[1363].end 7245.86909375
transcript.pyannote[1364].speaker SPEAKER_09
transcript.pyannote[1364].start 7245.46409375
transcript.pyannote[1364].end 7251.57284375
transcript.pyannote[1365].speaker SPEAKER_06
transcript.pyannote[1365].start 7246.30784375
transcript.pyannote[1365].end 7247.48909375
transcript.pyannote[1366].speaker SPEAKER_09
transcript.pyannote[1366].start 7252.46721875
transcript.pyannote[1366].end 7254.30659375
transcript.pyannote[1367].speaker SPEAKER_06
transcript.pyannote[1367].start 7253.59784375
transcript.pyannote[1367].end 7255.79159375
transcript.pyannote[1368].speaker SPEAKER_09
transcript.pyannote[1368].start 7256.55096875
transcript.pyannote[1368].end 7268.51534375
transcript.pyannote[1369].speaker SPEAKER_06
transcript.pyannote[1369].start 7269.98346875
transcript.pyannote[1369].end 7272.88596875
transcript.pyannote[1370].speaker SPEAKER_06
transcript.pyannote[1370].start 7272.91971875
transcript.pyannote[1370].end 7280.83409375
transcript.pyannote[1371].speaker SPEAKER_09
transcript.pyannote[1371].start 7281.01971875
transcript.pyannote[1371].end 7289.42346875
transcript.pyannote[1372].speaker SPEAKER_09
transcript.pyannote[1372].start 7290.38534375
transcript.pyannote[1372].end 7296.73034375
transcript.pyannote[1373].speaker SPEAKER_09
transcript.pyannote[1373].start 7297.10159375
transcript.pyannote[1373].end 7301.43846875
transcript.pyannote[1374].speaker SPEAKER_09
transcript.pyannote[1374].start 7301.62409375
transcript.pyannote[1374].end 7320.25409375
transcript.pyannote[1375].speaker SPEAKER_09
transcript.pyannote[1375].start 7320.37221875
transcript.pyannote[1375].end 7325.60346875
transcript.pyannote[1376].speaker SPEAKER_09
transcript.pyannote[1376].start 7326.02534375
transcript.pyannote[1376].end 7336.42034375
transcript.pyannote[1377].speaker SPEAKER_00
transcript.pyannote[1377].start 7327.45971875
transcript.pyannote[1377].end 7328.03346875
transcript.pyannote[1378].speaker SPEAKER_08
transcript.pyannote[1378].start 7328.03346875
transcript.pyannote[1378].end 7328.53971875
transcript.pyannote[1379].speaker SPEAKER_09
transcript.pyannote[1379].start 7336.74096875
transcript.pyannote[1379].end 7344.65534375
transcript.pyannote[1380].speaker SPEAKER_24
transcript.pyannote[1380].start 7347.59159375
transcript.pyannote[1380].end 7351.86096875
transcript.pyannote[1381].speaker SPEAKER_24
transcript.pyannote[1381].start 7352.35034375
transcript.pyannote[1381].end 7355.97846875
transcript.pyannote[1382].speaker SPEAKER_24
transcript.pyannote[1382].start 7356.40034375
transcript.pyannote[1382].end 7357.34534375
transcript.pyannote[1383].speaker SPEAKER_09
transcript.pyannote[1383].start 7356.92346875
transcript.pyannote[1383].end 7357.75034375
transcript.pyannote[1384].speaker SPEAKER_24
transcript.pyannote[1384].start 7357.75034375
transcript.pyannote[1384].end 7357.76721875
transcript.pyannote[1385].speaker SPEAKER_09
transcript.pyannote[1385].start 7357.76721875
transcript.pyannote[1385].end 7357.95284375
transcript.pyannote[1386].speaker SPEAKER_24
transcript.pyannote[1386].start 7357.95284375
transcript.pyannote[1386].end 7357.96971875
transcript.pyannote[1387].speaker SPEAKER_09
transcript.pyannote[1387].start 7357.96971875
transcript.pyannote[1387].end 7358.77971875
transcript.pyannote[1388].speaker SPEAKER_09
transcript.pyannote[1388].start 7358.93159375
transcript.pyannote[1388].end 7374.94596875
transcript.pyannote[1389].speaker SPEAKER_09
transcript.pyannote[1389].start 7375.92471875
transcript.pyannote[1389].end 7377.62909375
transcript.pyannote[1390].speaker SPEAKER_09
transcript.pyannote[1390].start 7378.57409375
transcript.pyannote[1390].end 7379.11409375
transcript.pyannote[1391].speaker SPEAKER_09
transcript.pyannote[1391].start 7380.10971875
transcript.pyannote[1391].end 7381.30784375
transcript.pyannote[1392].speaker SPEAKER_09
transcript.pyannote[1392].start 7381.61159375
transcript.pyannote[1392].end 7388.61471875
transcript.pyannote[1393].speaker SPEAKER_09
transcript.pyannote[1393].start 7389.45846875
transcript.pyannote[1393].end 7398.84096875
transcript.pyannote[1394].speaker SPEAKER_09
transcript.pyannote[1394].start 7399.38096875
transcript.pyannote[1394].end 7402.03034375
transcript.pyannote[1395].speaker SPEAKER_09
transcript.pyannote[1395].start 7402.50284375
transcript.pyannote[1395].end 7404.57846875
transcript.pyannote[1396].speaker SPEAKER_09
transcript.pyannote[1396].start 7404.78096875
transcript.pyannote[1396].end 7413.80909375
transcript.pyannote[1397].speaker SPEAKER_09
transcript.pyannote[1397].start 7414.24784375
transcript.pyannote[1397].end 7415.91846875
transcript.pyannote[1398].speaker SPEAKER_24
transcript.pyannote[1398].start 7416.23909375
transcript.pyannote[1398].end 7416.59346875
transcript.pyannote[1399].speaker SPEAKER_24
transcript.pyannote[1399].start 7417.21784375
transcript.pyannote[1399].end 7418.02784375
transcript.pyannote[1400].speaker SPEAKER_24
transcript.pyannote[1400].start 7418.65221875
transcript.pyannote[1400].end 7423.19159375
transcript.pyannote[1401].speaker SPEAKER_24
transcript.pyannote[1401].start 7423.61346875
transcript.pyannote[1401].end 7430.81909375
transcript.pyannote[1402].speaker SPEAKER_24
transcript.pyannote[1402].start 7430.97096875
transcript.pyannote[1402].end 7430.98784375
transcript.pyannote[1403].speaker SPEAKER_09
transcript.pyannote[1403].start 7430.98784375
transcript.pyannote[1403].end 7431.22409375
transcript.pyannote[1404].speaker SPEAKER_24
transcript.pyannote[1404].start 7431.22409375
transcript.pyannote[1404].end 7432.62471875
transcript.pyannote[1405].speaker SPEAKER_09
transcript.pyannote[1405].start 7432.15221875
transcript.pyannote[1405].end 7445.61846875
transcript.pyannote[1406].speaker SPEAKER_24
transcript.pyannote[1406].start 7440.84284375
transcript.pyannote[1406].end 7450.78221875
transcript.pyannote[1407].speaker SPEAKER_09
transcript.pyannote[1407].start 7450.36034375
transcript.pyannote[1407].end 7464.19784375
transcript.pyannote[1408].speaker SPEAKER_24
transcript.pyannote[1408].start 7464.94034375
transcript.pyannote[1408].end 7469.53034375
transcript.pyannote[1409].speaker SPEAKER_24
transcript.pyannote[1409].start 7469.85096875
transcript.pyannote[1409].end 7470.99846875
transcript.pyannote[1410].speaker SPEAKER_24
transcript.pyannote[1410].start 7471.36971875
transcript.pyannote[1410].end 7475.26784375
transcript.pyannote[1411].speaker SPEAKER_24
transcript.pyannote[1411].start 7475.31846875
transcript.pyannote[1411].end 7475.43659375
transcript.pyannote[1412].speaker SPEAKER_09
transcript.pyannote[1412].start 7475.43659375
transcript.pyannote[1412].end 7475.79096875
transcript.pyannote[1413].speaker SPEAKER_24
transcript.pyannote[1413].start 7475.79096875
transcript.pyannote[1413].end 7475.97659375
transcript.pyannote[1414].speaker SPEAKER_09
transcript.pyannote[1414].start 7475.97659375
transcript.pyannote[1414].end 7477.93409375
transcript.pyannote[1415].speaker SPEAKER_22
transcript.pyannote[1415].start 7476.85409375
transcript.pyannote[1415].end 7479.21659375
transcript.pyannote[1416].speaker SPEAKER_09
transcript.pyannote[1416].start 7478.65971875
transcript.pyannote[1416].end 7479.04784375
transcript.pyannote[1417].speaker SPEAKER_22
transcript.pyannote[1417].start 7480.07721875
transcript.pyannote[1417].end 7485.03846875
transcript.pyannote[1418].speaker SPEAKER_25
transcript.pyannote[1418].start 7492.68284375
transcript.pyannote[1418].end 7495.56846875
transcript.pyannote[1419].speaker SPEAKER_25
transcript.pyannote[1419].start 7495.90596875
transcript.pyannote[1419].end 7496.80034375
transcript.pyannote[1420].speaker SPEAKER_25
transcript.pyannote[1420].start 7497.72846875
transcript.pyannote[1420].end 7499.93909375
transcript.pyannote[1421].speaker SPEAKER_25
transcript.pyannote[1421].start 7500.37784375
transcript.pyannote[1421].end 7503.78659375
transcript.pyannote[1422].speaker SPEAKER_01
transcript.pyannote[1422].start 7503.12846875
transcript.pyannote[1422].end 7503.51659375
transcript.pyannote[1423].speaker SPEAKER_25
transcript.pyannote[1423].start 7504.78221875
transcript.pyannote[1423].end 7505.65971875
transcript.pyannote[1424].speaker SPEAKER_06
transcript.pyannote[1424].start 7507.54971875
transcript.pyannote[1424].end 7507.58346875
transcript.pyannote[1425].speaker SPEAKER_25
transcript.pyannote[1425].start 7507.58346875
transcript.pyannote[1425].end 7507.80284375
transcript.pyannote[1426].speaker SPEAKER_06
transcript.pyannote[1426].start 7507.80284375
transcript.pyannote[1426].end 7508.41034375
transcript.pyannote[1427].speaker SPEAKER_25
transcript.pyannote[1427].start 7508.41034375
transcript.pyannote[1427].end 7508.42721875
transcript.pyannote[1428].speaker SPEAKER_06
transcript.pyannote[1428].start 7508.91659375
transcript.pyannote[1428].end 7511.17784375
transcript.pyannote[1429].speaker SPEAKER_25
transcript.pyannote[1429].start 7511.21159375
transcript.pyannote[1429].end 7514.41784375
transcript.pyannote[1430].speaker SPEAKER_06
transcript.pyannote[1430].start 7511.80221875
transcript.pyannote[1430].end 7512.34221875
transcript.pyannote[1431].speaker SPEAKER_00
transcript.pyannote[1431].start 7512.34221875
transcript.pyannote[1431].end 7512.35909375
transcript.pyannote[1432].speaker SPEAKER_06
transcript.pyannote[1432].start 7513.43909375
transcript.pyannote[1432].end 7514.08034375
transcript.pyannote[1433].speaker SPEAKER_25
transcript.pyannote[1433].start 7514.77221875
transcript.pyannote[1433].end 7515.48096875
transcript.pyannote[1434].speaker SPEAKER_25
transcript.pyannote[1434].start 7517.05034375
transcript.pyannote[1434].end 7520.17221875
transcript.pyannote[1435].speaker SPEAKER_22
transcript.pyannote[1435].start 7519.53096875
transcript.pyannote[1435].end 7519.88534375
transcript.pyannote[1436].speaker SPEAKER_25
transcript.pyannote[1436].start 7520.22284375
transcript.pyannote[1436].end 7520.83034375
transcript.pyannote[1437].speaker SPEAKER_25
transcript.pyannote[1437].start 7521.03284375
transcript.pyannote[1437].end 7522.33221875
transcript.pyannote[1438].speaker SPEAKER_25
transcript.pyannote[1438].start 7522.70346875
transcript.pyannote[1438].end 7523.63159375
transcript.pyannote[1439].speaker SPEAKER_25
transcript.pyannote[1439].start 7524.61034375
transcript.pyannote[1439].end 7529.14971875
transcript.pyannote[1440].speaker SPEAKER_25
transcript.pyannote[1440].start 7529.50409375
transcript.pyannote[1440].end 7530.12846875
transcript.pyannote[1441].speaker SPEAKER_25
transcript.pyannote[1441].start 7530.46596875
transcript.pyannote[1441].end 7533.92534375
transcript.pyannote[1442].speaker SPEAKER_25
transcript.pyannote[1442].start 7534.80284375
transcript.pyannote[1442].end 7535.76471875
transcript.pyannote[1443].speaker SPEAKER_25
transcript.pyannote[1443].start 7536.52409375
transcript.pyannote[1443].end 7537.19909375
transcript.pyannote[1444].speaker SPEAKER_25
transcript.pyannote[1444].start 7537.30034375
transcript.pyannote[1444].end 7538.14409375
transcript.pyannote[1445].speaker SPEAKER_25
transcript.pyannote[1445].start 7538.54909375
transcript.pyannote[1445].end 7539.64596875
transcript.pyannote[1446].speaker SPEAKER_25
transcript.pyannote[1446].start 7540.28721875
transcript.pyannote[1446].end 7541.04659375
transcript.pyannote[1447].speaker SPEAKER_25
transcript.pyannote[1447].start 7541.38409375
transcript.pyannote[1447].end 7541.90721875
transcript.pyannote[1448].speaker SPEAKER_25
transcript.pyannote[1448].start 7542.58221875
transcript.pyannote[1448].end 7544.32034375
transcript.pyannote[1449].speaker SPEAKER_06
transcript.pyannote[1449].start 7546.10909375
transcript.pyannote[1449].end 7552.77471875
transcript.pyannote[1450].speaker SPEAKER_06
transcript.pyannote[1450].start 7553.43284375
transcript.pyannote[1450].end 7555.06971875
transcript.pyannote[1451].speaker SPEAKER_06
transcript.pyannote[1451].start 7555.39034375
transcript.pyannote[1451].end 7561.16159375
transcript.pyannote[1452].speaker SPEAKER_25
transcript.pyannote[1452].start 7561.61721875
transcript.pyannote[1452].end 7563.77721875
transcript.pyannote[1453].speaker SPEAKER_06
transcript.pyannote[1453].start 7565.11034375
transcript.pyannote[1453].end 7567.96221875
transcript.pyannote[1454].speaker SPEAKER_25
transcript.pyannote[1454].start 7567.96221875
transcript.pyannote[1454].end 7576.82159375
transcript.pyannote[1455].speaker SPEAKER_25
transcript.pyannote[1455].start 7577.95221875
transcript.pyannote[1455].end 7578.71159375
transcript.pyannote[1456].speaker SPEAKER_25
transcript.pyannote[1456].start 7579.13346875
transcript.pyannote[1456].end 7580.92221875
transcript.pyannote[1457].speaker SPEAKER_06
transcript.pyannote[1457].start 7582.32284375
transcript.pyannote[1457].end 7587.84096875
transcript.pyannote[1458].speaker SPEAKER_25
transcript.pyannote[1458].start 7587.08159375
transcript.pyannote[1458].end 7589.54534375
transcript.pyannote[1459].speaker SPEAKER_25
transcript.pyannote[1459].start 7589.74784375
transcript.pyannote[1459].end 7591.60409375
transcript.pyannote[1460].speaker SPEAKER_06
transcript.pyannote[1460].start 7591.60409375
transcript.pyannote[1460].end 7591.62096875
transcript.pyannote[1461].speaker SPEAKER_06
transcript.pyannote[1461].start 7592.48159375
transcript.pyannote[1461].end 7592.81909375
transcript.pyannote[1462].speaker SPEAKER_25
transcript.pyannote[1462].start 7592.81909375
transcript.pyannote[1462].end 7593.35909375
transcript.pyannote[1463].speaker SPEAKER_06
transcript.pyannote[1463].start 7593.35909375
transcript.pyannote[1463].end 7593.37596875
transcript.pyannote[1464].speaker SPEAKER_06
transcript.pyannote[1464].start 7595.04659375
transcript.pyannote[1464].end 7606.72409375
transcript.pyannote[1465].speaker SPEAKER_06
transcript.pyannote[1465].start 7606.92659375
transcript.pyannote[1465].end 7609.18784375
transcript.pyannote[1466].speaker SPEAKER_06
transcript.pyannote[1466].start 7609.93034375
transcript.pyannote[1466].end 7611.06096875
transcript.pyannote[1467].speaker SPEAKER_06
transcript.pyannote[1467].start 7611.68534375
transcript.pyannote[1467].end 7615.34721875
transcript.pyannote[1468].speaker SPEAKER_25
transcript.pyannote[1468].start 7613.67659375
transcript.pyannote[1468].end 7617.50721875
transcript.pyannote[1469].speaker SPEAKER_25
transcript.pyannote[1469].start 7617.89534375
transcript.pyannote[1469].end 7621.38846875
transcript.pyannote[1470].speaker SPEAKER_25
transcript.pyannote[1470].start 7621.74284375
transcript.pyannote[1470].end 7624.24034375
transcript.pyannote[1471].speaker SPEAKER_25
transcript.pyannote[1471].start 7624.66221875
transcript.pyannote[1471].end 7632.35721875
transcript.pyannote[1472].speaker SPEAKER_25
transcript.pyannote[1472].start 7632.94784375
transcript.pyannote[1472].end 7634.39909375
transcript.pyannote[1473].speaker SPEAKER_06
transcript.pyannote[1473].start 7635.52971875
transcript.pyannote[1473].end 7636.40721875
transcript.pyannote[1474].speaker SPEAKER_25
transcript.pyannote[1474].start 7636.62659375
transcript.pyannote[1474].end 7637.55471875
transcript.pyannote[1475].speaker SPEAKER_25
transcript.pyannote[1475].start 7637.68971875
transcript.pyannote[1475].end 7650.80159375
transcript.pyannote[1476].speaker SPEAKER_25
transcript.pyannote[1476].start 7651.32471875
transcript.pyannote[1476].end 7652.69159375
transcript.pyannote[1477].speaker SPEAKER_25
transcript.pyannote[1477].start 7653.16409375
transcript.pyannote[1477].end 7655.20596875
transcript.pyannote[1478].speaker SPEAKER_25
transcript.pyannote[1478].start 7656.72471875
transcript.pyannote[1478].end 7658.15909375
transcript.pyannote[1479].speaker SPEAKER_25
transcript.pyannote[1479].start 7658.66534375
transcript.pyannote[1479].end 7659.64409375
transcript.pyannote[1480].speaker SPEAKER_25
transcript.pyannote[1480].start 7659.99846875
transcript.pyannote[1480].end 7661.75346875
transcript.pyannote[1481].speaker SPEAKER_25
transcript.pyannote[1481].start 7661.97284375
transcript.pyannote[1481].end 7663.94721875
transcript.pyannote[1482].speaker SPEAKER_25
transcript.pyannote[1482].start 7664.35221875
transcript.pyannote[1482].end 7665.01034375
transcript.pyannote[1483].speaker SPEAKER_25
transcript.pyannote[1483].start 7665.11159375
transcript.pyannote[1483].end 7666.36034375
transcript.pyannote[1484].speaker SPEAKER_25
transcript.pyannote[1484].start 7666.54596875
transcript.pyannote[1484].end 7667.92971875
transcript.pyannote[1485].speaker SPEAKER_25
transcript.pyannote[1485].start 7668.25034375
transcript.pyannote[1485].end 7669.75221875
transcript.pyannote[1486].speaker SPEAKER_25
transcript.pyannote[1486].start 7669.90409375
transcript.pyannote[1486].end 7671.70971875
transcript.pyannote[1487].speaker SPEAKER_25
transcript.pyannote[1487].start 7673.81909375
transcript.pyannote[1487].end 7674.24096875
transcript.pyannote[1488].speaker SPEAKER_25
transcript.pyannote[1488].start 7674.84846875
transcript.pyannote[1488].end 7676.29971875
transcript.pyannote[1489].speaker SPEAKER_25
transcript.pyannote[1489].start 7676.83971875
transcript.pyannote[1489].end 7677.21096875
transcript.pyannote[1490].speaker SPEAKER_25
transcript.pyannote[1490].start 7678.18971875
transcript.pyannote[1490].end 7678.88159375
transcript.pyannote[1491].speaker SPEAKER_25
transcript.pyannote[1491].start 7679.15159375
transcript.pyannote[1491].end 7680.83909375
transcript.pyannote[1492].speaker SPEAKER_06
transcript.pyannote[1492].start 7680.83909375
transcript.pyannote[1492].end 7684.53471875
transcript.pyannote[1493].speaker SPEAKER_25
transcript.pyannote[1493].start 7684.31534375
transcript.pyannote[1493].end 7686.30659375
transcript.pyannote[1494].speaker SPEAKER_25
transcript.pyannote[1494].start 7686.34034375
transcript.pyannote[1494].end 7686.62721875
transcript.pyannote[1495].speaker SPEAKER_25
transcript.pyannote[1495].start 7687.40346875
transcript.pyannote[1495].end 7688.19659375
transcript.pyannote[1496].speaker SPEAKER_25
transcript.pyannote[1496].start 7688.98971875
transcript.pyannote[1496].end 7693.56284375
transcript.pyannote[1497].speaker SPEAKER_25
transcript.pyannote[1497].start 7694.30534375
transcript.pyannote[1497].end 7695.38534375
transcript.pyannote[1498].speaker SPEAKER_25
transcript.pyannote[1498].start 7696.22909375
transcript.pyannote[1498].end 7696.63409375
transcript.pyannote[1499].speaker SPEAKER_25
transcript.pyannote[1499].start 7696.97159375
transcript.pyannote[1499].end 7698.32159375
transcript.pyannote[1500].speaker SPEAKER_25
transcript.pyannote[1500].start 7699.16534375
transcript.pyannote[1500].end 7700.59971875
transcript.pyannote[1501].speaker SPEAKER_25
transcript.pyannote[1501].start 7701.05534375
transcript.pyannote[1501].end 7704.24471875
transcript.pyannote[1502].speaker SPEAKER_25
transcript.pyannote[1502].start 7704.95346875
transcript.pyannote[1502].end 7705.61159375
transcript.pyannote[1503].speaker SPEAKER_25
transcript.pyannote[1503].start 7705.96596875
transcript.pyannote[1503].end 7707.31596875
transcript.pyannote[1504].speaker SPEAKER_25
transcript.pyannote[1504].start 7708.19346875
transcript.pyannote[1504].end 7709.69534375
transcript.pyannote[1505].speaker SPEAKER_25
transcript.pyannote[1505].start 7710.67409375
transcript.pyannote[1505].end 7712.61471875
transcript.pyannote[1506].speaker SPEAKER_25
transcript.pyannote[1506].start 7713.07034375
transcript.pyannote[1506].end 7715.21346875
transcript.pyannote[1507].speaker SPEAKER_25
transcript.pyannote[1507].start 7715.93909375
transcript.pyannote[1507].end 7724.78159375
transcript.pyannote[1508].speaker SPEAKER_25
transcript.pyannote[1508].start 7725.22034375
transcript.pyannote[1508].end 7730.50221875
transcript.pyannote[1509].speaker SPEAKER_25
transcript.pyannote[1509].start 7730.94096875
transcript.pyannote[1509].end 7732.89846875
transcript.pyannote[1510].speaker SPEAKER_25
transcript.pyannote[1510].start 7733.59034375
transcript.pyannote[1510].end 7736.00346875
transcript.pyannote[1511].speaker SPEAKER_25
transcript.pyannote[1511].start 7737.21846875
transcript.pyannote[1511].end 7739.69909375
transcript.pyannote[1512].speaker SPEAKER_25
transcript.pyannote[1512].start 7740.77909375
transcript.pyannote[1512].end 7741.38659375
transcript.pyannote[1513].speaker SPEAKER_25
transcript.pyannote[1513].start 7742.23034375
transcript.pyannote[1513].end 7744.32284375
transcript.pyannote[1514].speaker SPEAKER_25
transcript.pyannote[1514].start 7744.59284375
transcript.pyannote[1514].end 7746.41534375
transcript.pyannote[1515].speaker SPEAKER_25
transcript.pyannote[1515].start 7747.03971875
transcript.pyannote[1515].end 7747.95096875
transcript.pyannote[1516].speaker SPEAKER_25
transcript.pyannote[1516].start 7748.64284375
transcript.pyannote[1516].end 7751.02221875
transcript.pyannote[1517].speaker SPEAKER_25
transcript.pyannote[1517].start 7751.78159375
transcript.pyannote[1517].end 7753.73909375
transcript.pyannote[1518].speaker SPEAKER_25
transcript.pyannote[1518].start 7753.75596875
transcript.pyannote[1518].end 7754.70096875
transcript.pyannote[1519].speaker SPEAKER_25
transcript.pyannote[1519].start 7754.85284375
transcript.pyannote[1519].end 7756.10159375
transcript.pyannote[1520].speaker SPEAKER_25
transcript.pyannote[1520].start 7756.47284375
transcript.pyannote[1520].end 7758.05909375
transcript.pyannote[1521].speaker SPEAKER_25
transcript.pyannote[1521].start 7760.16846875
transcript.pyannote[1521].end 7764.65721875
transcript.pyannote[1522].speaker SPEAKER_24
transcript.pyannote[1522].start 7762.42971875
transcript.pyannote[1522].end 7762.91909375
transcript.pyannote[1523].speaker SPEAKER_24
transcript.pyannote[1523].start 7764.87659375
transcript.pyannote[1523].end 7767.99846875
transcript.pyannote[1524].speaker SPEAKER_24
transcript.pyannote[1524].start 7768.42034375
transcript.pyannote[1524].end 7770.93471875
transcript.pyannote[1525].speaker SPEAKER_25
transcript.pyannote[1525].start 7769.07846875
transcript.pyannote[1525].end 7775.05221875
transcript.pyannote[1526].speaker SPEAKER_24
transcript.pyannote[1526].start 7771.94721875
transcript.pyannote[1526].end 7772.21721875
transcript.pyannote[1527].speaker SPEAKER_25
transcript.pyannote[1527].start 7776.89159375
transcript.pyannote[1527].end 7777.46534375
transcript.pyannote[1528].speaker SPEAKER_25
transcript.pyannote[1528].start 7778.10659375
transcript.pyannote[1528].end 7778.88284375
transcript.pyannote[1529].speaker SPEAKER_25
transcript.pyannote[1529].start 7779.20346875
transcript.pyannote[1529].end 7779.76034375
transcript.pyannote[1530].speaker SPEAKER_25
transcript.pyannote[1530].start 7780.41846875
transcript.pyannote[1530].end 7781.78534375
transcript.pyannote[1531].speaker SPEAKER_25
transcript.pyannote[1531].start 7782.78096875
transcript.pyannote[1531].end 7784.48534375
transcript.pyannote[1532].speaker SPEAKER_25
transcript.pyannote[1532].start 7785.41346875
transcript.pyannote[1532].end 7786.66221875
transcript.pyannote[1533].speaker SPEAKER_25
transcript.pyannote[1533].start 7786.69596875
transcript.pyannote[1533].end 7787.67471875
transcript.pyannote[1534].speaker SPEAKER_25
transcript.pyannote[1534].start 7787.99534375
transcript.pyannote[1534].end 7788.77159375
transcript.pyannote[1535].speaker SPEAKER_25
transcript.pyannote[1535].start 7789.04159375
transcript.pyannote[1535].end 7791.70784375
transcript.pyannote[1536].speaker SPEAKER_25
transcript.pyannote[1536].start 7792.04534375
transcript.pyannote[1536].end 7792.34909375
transcript.pyannote[1537].speaker SPEAKER_25
transcript.pyannote[1537].start 7792.85534375
transcript.pyannote[1537].end 7793.95221875
transcript.pyannote[1538].speaker SPEAKER_25
transcript.pyannote[1538].start 7795.30221875
transcript.pyannote[1538].end 7796.26409375
transcript.pyannote[1539].speaker SPEAKER_25
transcript.pyannote[1539].start 7797.32721875
transcript.pyannote[1539].end 7797.76596875
transcript.pyannote[1540].speaker SPEAKER_25
transcript.pyannote[1540].start 7797.96846875
transcript.pyannote[1540].end 7798.40721875
transcript.pyannote[1541].speaker SPEAKER_25
transcript.pyannote[1541].start 7800.39846875
transcript.pyannote[1541].end 7802.44034375
transcript.pyannote[1542].speaker SPEAKER_25
transcript.pyannote[1542].start 7802.72721875
transcript.pyannote[1542].end 7804.26284375
transcript.pyannote[1543].speaker SPEAKER_25
transcript.pyannote[1543].start 7804.63409375
transcript.pyannote[1543].end 7806.50721875
transcript.pyannote[1544].speaker SPEAKER_06
transcript.pyannote[1544].start 7807.53659375
transcript.pyannote[1544].end 7808.12721875
transcript.pyannote[1545].speaker SPEAKER_06
transcript.pyannote[1545].start 7808.65034375
transcript.pyannote[1545].end 7811.77221875
transcript.pyannote[1546].speaker SPEAKER_25
transcript.pyannote[1546].start 7810.97909375
transcript.pyannote[1546].end 7812.91971875
transcript.pyannote[1547].speaker SPEAKER_06
transcript.pyannote[1547].start 7815.07971875
transcript.pyannote[1547].end 7815.09659375
transcript.pyannote[1548].speaker SPEAKER_25
transcript.pyannote[1548].start 7815.09659375
transcript.pyannote[1548].end 7817.69534375
transcript.pyannote[1549].speaker SPEAKER_06
transcript.pyannote[1549].start 7815.29909375
transcript.pyannote[1549].end 7815.82221875
transcript.pyannote[1550].speaker SPEAKER_21
transcript.pyannote[1550].start 7818.79221875
transcript.pyannote[1550].end 7821.25596875
transcript.pyannote[1551].speaker SPEAKER_25
transcript.pyannote[1551].start 7821.35721875
transcript.pyannote[1551].end 7824.64784375
transcript.pyannote[1552].speaker SPEAKER_21
transcript.pyannote[1552].start 7822.18409375
transcript.pyannote[1552].end 7823.21346875
transcript.pyannote[1553].speaker SPEAKER_25
transcript.pyannote[1553].start 7824.91784375
transcript.pyannote[1553].end 7827.49971875
transcript.pyannote[1554].speaker SPEAKER_25
transcript.pyannote[1554].start 7828.17471875
transcript.pyannote[1554].end 7829.54159375
transcript.pyannote[1555].speaker SPEAKER_25
transcript.pyannote[1555].start 7830.30096875
transcript.pyannote[1555].end 7830.79034375
transcript.pyannote[1556].speaker SPEAKER_25
transcript.pyannote[1556].start 7831.44846875
transcript.pyannote[1556].end 7833.94596875
transcript.pyannote[1557].speaker SPEAKER_25
transcript.pyannote[1557].start 7834.23284375
transcript.pyannote[1557].end 7835.66721875
transcript.pyannote[1558].speaker SPEAKER_21
transcript.pyannote[1558].start 7837.55721875
transcript.pyannote[1558].end 7843.04159375
transcript.pyannote[1559].speaker SPEAKER_25
transcript.pyannote[1559].start 7843.63221875
transcript.pyannote[1559].end 7846.72034375
transcript.pyannote[1560].speaker SPEAKER_18
transcript.pyannote[1560].start 7846.80471875
transcript.pyannote[1560].end 7848.79596875
transcript.pyannote[1561].speaker SPEAKER_25
transcript.pyannote[1561].start 7849.28534375
transcript.pyannote[1561].end 7851.79971875
transcript.pyannote[1562].speaker SPEAKER_21
transcript.pyannote[1562].start 7851.54659375
transcript.pyannote[1562].end 7851.56346875
transcript.pyannote[1563].speaker SPEAKER_25
transcript.pyannote[1563].start 7852.06971875
transcript.pyannote[1563].end 7852.69409375
transcript.pyannote[1564].speaker SPEAKER_25
transcript.pyannote[1564].start 7853.53784375
transcript.pyannote[1564].end 7854.78659375
transcript.pyannote[1565].speaker SPEAKER_21
transcript.pyannote[1565].start 7854.22971875
transcript.pyannote[1565].end 7862.21159375
transcript.pyannote[1566].speaker SPEAKER_21
transcript.pyannote[1566].start 7862.76846875
transcript.pyannote[1566].end 7864.96221875
transcript.pyannote[1567].speaker SPEAKER_25
transcript.pyannote[1567].start 7864.96221875
transcript.pyannote[1567].end 7866.27846875
transcript.pyannote[1568].speaker SPEAKER_21
transcript.pyannote[1568].start 7866.27846875
transcript.pyannote[1568].end 7866.29534375
transcript.pyannote[1569].speaker SPEAKER_21
transcript.pyannote[1569].start 7866.36284375
transcript.pyannote[1569].end 7874.74971875
transcript.pyannote[1570].speaker SPEAKER_25
transcript.pyannote[1570].start 7868.30346875
transcript.pyannote[1570].end 7868.48909375
transcript.pyannote[1571].speaker SPEAKER_25
transcript.pyannote[1571].start 7872.50534375
transcript.pyannote[1571].end 7872.52221875
transcript.pyannote[1572].speaker SPEAKER_12
transcript.pyannote[1572].start 7872.52221875
transcript.pyannote[1572].end 7873.55159375
transcript.pyannote[1573].speaker SPEAKER_25
transcript.pyannote[1573].start 7873.55159375
transcript.pyannote[1573].end 7873.56846875
transcript.pyannote[1574].speaker SPEAKER_25
transcript.pyannote[1574].start 7874.74971875
transcript.pyannote[1574].end 7874.76659375
transcript.pyannote[1575].speaker SPEAKER_21
transcript.pyannote[1575].start 7874.76659375
transcript.pyannote[1575].end 7874.85096875
transcript.pyannote[1576].speaker SPEAKER_12
transcript.pyannote[1576].start 7874.76659375
transcript.pyannote[1576].end 7875.25596875
transcript.pyannote[1577].speaker SPEAKER_25
transcript.pyannote[1577].start 7874.85096875
transcript.pyannote[1577].end 7874.86784375
transcript.pyannote[1578].speaker SPEAKER_25
transcript.pyannote[1578].start 7875.54284375
transcript.pyannote[1578].end 7875.57659375
transcript.pyannote[1579].speaker SPEAKER_21
transcript.pyannote[1579].start 7875.57659375
transcript.pyannote[1579].end 7875.96471875
transcript.pyannote[1580].speaker SPEAKER_25
transcript.pyannote[1580].start 7875.96471875
transcript.pyannote[1580].end 7876.30221875
transcript.pyannote[1581].speaker SPEAKER_21
transcript.pyannote[1581].start 7876.30221875
transcript.pyannote[1581].end 7876.36971875
transcript.pyannote[1582].speaker SPEAKER_25
transcript.pyannote[1582].start 7876.36971875
transcript.pyannote[1582].end 7876.69034375
transcript.pyannote[1583].speaker SPEAKER_21
transcript.pyannote[1583].start 7876.69034375
transcript.pyannote[1583].end 7876.97721875
transcript.pyannote[1584].speaker SPEAKER_25
transcript.pyannote[1584].start 7876.97721875
transcript.pyannote[1584].end 7877.02784375
transcript.pyannote[1585].speaker SPEAKER_21
transcript.pyannote[1585].start 7877.02784375
transcript.pyannote[1585].end 7877.97284375
transcript.pyannote[1586].speaker SPEAKER_25
transcript.pyannote[1586].start 7877.97284375
transcript.pyannote[1586].end 7878.02346875
transcript.pyannote[1587].speaker SPEAKER_21
transcript.pyannote[1587].start 7878.02346875
transcript.pyannote[1587].end 7878.96846875
transcript.pyannote[1588].speaker SPEAKER_25
transcript.pyannote[1588].start 7878.96846875
transcript.pyannote[1588].end 7879.03596875
transcript.pyannote[1589].speaker SPEAKER_21
transcript.pyannote[1589].start 7879.03596875
transcript.pyannote[1589].end 7879.67721875
transcript.pyannote[1590].speaker SPEAKER_21
transcript.pyannote[1590].start 7880.62221875
transcript.pyannote[1590].end 7887.47346875
transcript.pyannote[1591].speaker SPEAKER_21
transcript.pyannote[1591].start 7887.79409375
transcript.pyannote[1591].end 7889.44784375
transcript.pyannote[1592].speaker SPEAKER_25
transcript.pyannote[1592].start 7890.93284375
transcript.pyannote[1592].end 7891.94534375
transcript.pyannote[1593].speaker SPEAKER_25
transcript.pyannote[1593].start 7892.90721875
transcript.pyannote[1593].end 7893.78471875
transcript.pyannote[1594].speaker SPEAKER_25
transcript.pyannote[1594].start 7893.95346875
transcript.pyannote[1594].end 7894.91534375
transcript.pyannote[1595].speaker SPEAKER_25
transcript.pyannote[1595].start 7895.26971875
transcript.pyannote[1595].end 7896.41721875
transcript.pyannote[1596].speaker SPEAKER_25
transcript.pyannote[1596].start 7896.75471875
transcript.pyannote[1596].end 7897.88534375
transcript.pyannote[1597].speaker SPEAKER_06
transcript.pyannote[1597].start 7899.65721875
transcript.pyannote[1597].end 7908.87096875
transcript.pyannote[1598].speaker SPEAKER_25
transcript.pyannote[1598].start 7908.56721875
transcript.pyannote[1598].end 7908.76971875
transcript.pyannote[1599].speaker SPEAKER_25
transcript.pyannote[1599].start 7908.87096875
transcript.pyannote[1599].end 7910.71034375
transcript.pyannote[1600].speaker SPEAKER_25
transcript.pyannote[1600].start 7911.35159375
transcript.pyannote[1600].end 7914.23721875
transcript.pyannote[1601].speaker SPEAKER_25
transcript.pyannote[1601].start 7914.92909375
transcript.pyannote[1601].end 7917.19034375
transcript.pyannote[1602].speaker SPEAKER_25
transcript.pyannote[1602].start 7917.69659375
transcript.pyannote[1602].end 7919.99159375
transcript.pyannote[1603].speaker SPEAKER_25
transcript.pyannote[1603].start 7920.29534375
transcript.pyannote[1603].end 7921.30784375
transcript.pyannote[1604].speaker SPEAKER_25
transcript.pyannote[1604].start 7921.66221875
transcript.pyannote[1604].end 7922.99534375
transcript.pyannote[1605].speaker SPEAKER_25
transcript.pyannote[1605].start 7924.48034375
transcript.pyannote[1605].end 7925.03721875
transcript.pyannote[1606].speaker SPEAKER_25
transcript.pyannote[1606].start 7925.64471875
transcript.pyannote[1606].end 7926.62346875
transcript.pyannote[1607].speaker SPEAKER_25
transcript.pyannote[1607].start 7927.14659375
transcript.pyannote[1607].end 7927.55159375
transcript.pyannote[1608].speaker SPEAKER_25
transcript.pyannote[1608].start 7927.60221875
transcript.pyannote[1608].end 7930.09971875
transcript.pyannote[1609].speaker SPEAKER_25
transcript.pyannote[1609].start 7930.70721875
transcript.pyannote[1609].end 7931.36534375
transcript.pyannote[1610].speaker SPEAKER_25
transcript.pyannote[1610].start 7931.88846875
transcript.pyannote[1610].end 7933.03596875
transcript.pyannote[1611].speaker SPEAKER_25
transcript.pyannote[1611].start 7933.23846875
transcript.pyannote[1611].end 7933.28909375
transcript.pyannote[1612].speaker SPEAKER_06
transcript.pyannote[1612].start 7933.28909375
transcript.pyannote[1612].end 7933.32284375
transcript.pyannote[1613].speaker SPEAKER_25
transcript.pyannote[1613].start 7933.32284375
transcript.pyannote[1613].end 7934.03159375
transcript.pyannote[1614].speaker SPEAKER_06
transcript.pyannote[1614].start 7934.03159375
transcript.pyannote[1614].end 7934.31846875
transcript.pyannote[1615].speaker SPEAKER_25
transcript.pyannote[1615].start 7934.31846875
transcript.pyannote[1615].end 7934.35221875
transcript.pyannote[1616].speaker SPEAKER_06
transcript.pyannote[1616].start 7935.66846875
transcript.pyannote[1616].end 7937.15346875
transcript.pyannote[1617].speaker SPEAKER_06
transcript.pyannote[1617].start 7937.77784375
transcript.pyannote[1617].end 7947.46409375
transcript.pyannote[1618].speaker SPEAKER_06
transcript.pyannote[1618].start 7947.81846875
transcript.pyannote[1618].end 7957.01534375
transcript.pyannote[1619].speaker SPEAKER_06
transcript.pyannote[1619].start 7957.43721875
transcript.pyannote[1619].end 7959.49596875
transcript.pyannote[1620].speaker SPEAKER_06
transcript.pyannote[1620].start 7959.93471875
transcript.pyannote[1620].end 7975.03784375
transcript.pyannote[1621].speaker SPEAKER_06
transcript.pyannote[1621].start 7975.17284375
transcript.pyannote[1621].end 7978.75034375
transcript.pyannote[1622].speaker SPEAKER_25
transcript.pyannote[1622].start 7979.72909375
transcript.pyannote[1622].end 7981.55159375
transcript.pyannote[1623].speaker SPEAKER_06
transcript.pyannote[1623].start 7982.90159375
transcript.pyannote[1623].end 7985.90534375
transcript.pyannote[1624].speaker SPEAKER_06
transcript.pyannote[1624].start 7985.97284375
transcript.pyannote[1624].end 7986.02346875
transcript.pyannote[1625].speaker SPEAKER_06
transcript.pyannote[1625].start 7986.10784375
transcript.pyannote[1625].end 7996.58721875
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 7997.07659375
transcript.pyannote[1626].end 7997.71784375
transcript.pyannote[1627].speaker SPEAKER_06
transcript.pyannote[1627].start 7998.52784375
transcript.pyannote[1627].end 8005.76721875
transcript.pyannote[1628].speaker SPEAKER_25
transcript.pyannote[1628].start 8006.10471875
transcript.pyannote[1628].end 8009.64846875
transcript.pyannote[1629].speaker SPEAKER_25
transcript.pyannote[1629].start 8010.61034375
transcript.pyannote[1629].end 8011.55534375
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 8011.96034375
transcript.pyannote[1630].end 8013.00659375
transcript.pyannote[1631].speaker SPEAKER_25
transcript.pyannote[1631].start 8013.51284375
transcript.pyannote[1631].end 8014.45784375
transcript.pyannote[1632].speaker SPEAKER_25
transcript.pyannote[1632].start 8014.57596875
transcript.pyannote[1632].end 8015.82471875
transcript.pyannote[1633].speaker SPEAKER_25
transcript.pyannote[1633].start 8015.92596875
transcript.pyannote[1633].end 8016.87096875
transcript.pyannote[1634].speaker SPEAKER_25
transcript.pyannote[1634].start 8016.98909375
transcript.pyannote[1634].end 8019.26721875
transcript.pyannote[1635].speaker SPEAKER_06
transcript.pyannote[1635].start 8020.07721875
transcript.pyannote[1635].end 8026.27034375
transcript.pyannote[1636].speaker SPEAKER_06
transcript.pyannote[1636].start 8026.67534375
transcript.pyannote[1636].end 8028.21096875
transcript.pyannote[1637].speaker SPEAKER_25
transcript.pyannote[1637].start 8028.24471875
transcript.pyannote[1637].end 8030.05034375
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 8028.34596875
transcript.pyannote[1638].end 8028.37971875
transcript.pyannote[1639].speaker SPEAKER_21
transcript.pyannote[1639].start 8028.37971875
transcript.pyannote[1639].end 8028.53159375
transcript.pyannote[1640].speaker SPEAKER_06
transcript.pyannote[1640].start 8031.55221875
transcript.pyannote[1640].end 8031.58596875
transcript.pyannote[1641].speaker SPEAKER_25
transcript.pyannote[1641].start 8031.58596875
transcript.pyannote[1641].end 8031.95721875
transcript.pyannote[1642].speaker SPEAKER_21
transcript.pyannote[1642].start 8032.05846875
transcript.pyannote[1642].end 8032.58159375
transcript.pyannote[1643].speaker SPEAKER_25
transcript.pyannote[1643].start 8032.71659375
transcript.pyannote[1643].end 8033.89784375
transcript.pyannote[1644].speaker SPEAKER_25
transcript.pyannote[1644].start 8034.28596875
transcript.pyannote[1644].end 8035.60221875
transcript.pyannote[1645].speaker SPEAKER_25
transcript.pyannote[1645].start 8036.26034375
transcript.pyannote[1645].end 8037.89721875
transcript.pyannote[1646].speaker SPEAKER_25
transcript.pyannote[1646].start 8038.36971875
transcript.pyannote[1646].end 8043.09471875
transcript.pyannote[1647].speaker SPEAKER_21
transcript.pyannote[1647].start 8043.82034375
transcript.pyannote[1647].end 8049.55784375
transcript.pyannote[1648].speaker SPEAKER_21
transcript.pyannote[1648].start 8049.86159375
transcript.pyannote[1648].end 8079.47721875
transcript.pyannote[1649].speaker SPEAKER_25
transcript.pyannote[1649].start 8079.47721875
transcript.pyannote[1649].end 8079.73034375
transcript.pyannote[1650].speaker SPEAKER_21
transcript.pyannote[1650].start 8079.73034375
transcript.pyannote[1650].end 8079.84846875
transcript.pyannote[1651].speaker SPEAKER_25
transcript.pyannote[1651].start 8079.84846875
transcript.pyannote[1651].end 8091.07034375
transcript.pyannote[1652].speaker SPEAKER_25
transcript.pyannote[1652].start 8091.44159375
transcript.pyannote[1652].end 8094.78284375
transcript.pyannote[1653].speaker SPEAKER_06
transcript.pyannote[1653].start 8094.85034375
transcript.pyannote[1653].end 8097.29721875
transcript.pyannote[1654].speaker SPEAKER_06
transcript.pyannote[1654].start 8098.52909375
transcript.pyannote[1654].end 8107.47284375
transcript.pyannote[1655].speaker SPEAKER_06
transcript.pyannote[1655].start 8107.64159375
transcript.pyannote[1655].end 8111.62409375
transcript.pyannote[1656].speaker SPEAKER_06
transcript.pyannote[1656].start 8112.11346875
transcript.pyannote[1656].end 8113.59846875
transcript.pyannote[1657].speaker SPEAKER_06
transcript.pyannote[1657].start 8113.96971875
transcript.pyannote[1657].end 8117.90159375
transcript.pyannote[1658].speaker SPEAKER_25
transcript.pyannote[1658].start 8118.67784375
transcript.pyannote[1658].end 8118.71159375
transcript.pyannote[1659].speaker SPEAKER_25
transcript.pyannote[1659].start 8119.13346875
transcript.pyannote[1659].end 8121.78284375
transcript.pyannote[1660].speaker SPEAKER_25
transcript.pyannote[1660].start 8123.60534375
transcript.pyannote[1660].end 8129.35971875
transcript.pyannote[1661].speaker SPEAKER_06
transcript.pyannote[1661].start 8130.40596875
transcript.pyannote[1661].end 8132.93721875
transcript.pyannote[1662].speaker SPEAKER_06
transcript.pyannote[1662].start 8133.34221875
transcript.pyannote[1662].end 8135.45159375
transcript.pyannote[1663].speaker SPEAKER_25
transcript.pyannote[1663].start 8134.21971875
transcript.pyannote[1663].end 8136.83534375
transcript.pyannote[1664].speaker SPEAKER_06
transcript.pyannote[1664].start 8137.74659375
transcript.pyannote[1664].end 8142.31971875
transcript.pyannote[1665].speaker SPEAKER_25
transcript.pyannote[1665].start 8142.31971875
transcript.pyannote[1665].end 8145.18846875
transcript.pyannote[1666].speaker SPEAKER_25
transcript.pyannote[1666].start 8145.61034375
transcript.pyannote[1666].end 8149.89659375
transcript.pyannote[1667].speaker SPEAKER_25
transcript.pyannote[1667].start 8150.60534375
transcript.pyannote[1667].end 8151.02721875
transcript.pyannote[1668].speaker SPEAKER_06
transcript.pyannote[1668].start 8151.02721875
transcript.pyannote[1668].end 8153.86221875
transcript.pyannote[1669].speaker SPEAKER_25
transcript.pyannote[1669].start 8153.86221875
transcript.pyannote[1669].end 8158.90784375
transcript.pyannote[1670].speaker SPEAKER_06
transcript.pyannote[1670].start 8155.09409375
transcript.pyannote[1670].end 8155.16159375
transcript.pyannote[1671].speaker SPEAKER_25
transcript.pyannote[1671].start 8159.19471875
transcript.pyannote[1671].end 8162.99159375
transcript.pyannote[1672].speaker SPEAKER_06
transcript.pyannote[1672].start 8164.08846875
transcript.pyannote[1672].end 8169.16784375
transcript.pyannote[1673].speaker SPEAKER_25
transcript.pyannote[1673].start 8167.61534375
transcript.pyannote[1673].end 8174.09534375
transcript.pyannote[1674].speaker SPEAKER_06
transcript.pyannote[1674].start 8169.18471875
transcript.pyannote[1674].end 8169.20159375
transcript.pyannote[1675].speaker SPEAKER_06
transcript.pyannote[1675].start 8169.21846875
transcript.pyannote[1675].end 8169.26909375
transcript.pyannote[1676].speaker SPEAKER_06
transcript.pyannote[1676].start 8169.50534375
transcript.pyannote[1676].end 8169.62346875
transcript.pyannote[1677].speaker SPEAKER_06
transcript.pyannote[1677].start 8169.64034375
transcript.pyannote[1677].end 8170.02846875
transcript.pyannote[1678].speaker SPEAKER_25
transcript.pyannote[1678].start 8174.56784375
transcript.pyannote[1678].end 8178.29721875
transcript.pyannote[1679].speaker SPEAKER_25
transcript.pyannote[1679].start 8178.76971875
transcript.pyannote[1679].end 8179.90034375
transcript.pyannote[1680].speaker SPEAKER_25
transcript.pyannote[1680].start 8180.30534375
transcript.pyannote[1680].end 8182.33034375
transcript.pyannote[1681].speaker SPEAKER_25
transcript.pyannote[1681].start 8183.46096875
transcript.pyannote[1681].end 8186.51534375
transcript.pyannote[1682].speaker SPEAKER_25
transcript.pyannote[1682].start 8187.37596875
transcript.pyannote[1682].end 8189.90721875
transcript.pyannote[1683].speaker SPEAKER_25
transcript.pyannote[1683].start 8190.14346875
transcript.pyannote[1683].end 8191.56096875
transcript.pyannote[1684].speaker SPEAKER_25
transcript.pyannote[1684].start 8192.38784375
transcript.pyannote[1684].end 8194.14284375
transcript.pyannote[1685].speaker SPEAKER_25
transcript.pyannote[1685].start 8194.58159375
transcript.pyannote[1685].end 8196.21846875
transcript.pyannote[1686].speaker SPEAKER_25
transcript.pyannote[1686].start 8196.80909375
transcript.pyannote[1686].end 8198.64846875
transcript.pyannote[1687].speaker SPEAKER_25
transcript.pyannote[1687].start 8199.27284375
transcript.pyannote[1687].end 8200.60596875
transcript.pyannote[1688].speaker SPEAKER_25
transcript.pyannote[1688].start 8201.01096875
transcript.pyannote[1688].end 8202.22596875
transcript.pyannote[1689].speaker SPEAKER_25
transcript.pyannote[1689].start 8202.68159375
transcript.pyannote[1689].end 8206.69784375
transcript.pyannote[1690].speaker SPEAKER_25
transcript.pyannote[1690].start 8206.86659375
transcript.pyannote[1690].end 8207.62596875
transcript.pyannote[1691].speaker SPEAKER_25
transcript.pyannote[1691].start 8208.89159375
transcript.pyannote[1691].end 8210.71409375
transcript.pyannote[1692].speaker SPEAKER_06
transcript.pyannote[1692].start 8211.15284375
transcript.pyannote[1692].end 8216.33346875
transcript.pyannote[1693].speaker SPEAKER_22
transcript.pyannote[1693].start 8216.33346875
transcript.pyannote[1693].end 8218.44284375
transcript.pyannote[1694].speaker SPEAKER_22
transcript.pyannote[1694].start 8219.10096875
transcript.pyannote[1694].end 8224.55159375
transcript.pyannote[1695].speaker SPEAKER_22
transcript.pyannote[1695].start 8832.87846875
transcript.pyannote[1695].end 8833.94159375
transcript.pyannote[1696].speaker SPEAKER_22
transcript.pyannote[1696].start 8837.41784375
transcript.pyannote[1696].end 8839.29096875
transcript.pyannote[1697].speaker SPEAKER_08
transcript.pyannote[1697].start 8847.76221875
transcript.pyannote[1697].end 8849.73659375
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 8849.77034375
transcript.pyannote[1698].end 8849.78721875
transcript.pyannote[1699].speaker SPEAKER_03
transcript.pyannote[1699].start 8849.78721875
transcript.pyannote[1699].end 8850.66471875
transcript.pyannote[1700].speaker SPEAKER_08
transcript.pyannote[1700].start 8850.42846875
transcript.pyannote[1700].end 8850.52971875
transcript.pyannote[1701].speaker SPEAKER_08
transcript.pyannote[1701].start 8850.66471875
transcript.pyannote[1701].end 8850.68159375
transcript.pyannote[1702].speaker SPEAKER_03
transcript.pyannote[1702].start 8856.23346875
transcript.pyannote[1702].end 8856.92534375
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 8857.29659375
transcript.pyannote[1703].end 8865.04221875
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 8865.88596875
transcript.pyannote[1704].end 8869.46346875
transcript.pyannote[1705].speaker SPEAKER_08
transcript.pyannote[1705].start 8869.90221875
transcript.pyannote[1705].end 8873.76659375
transcript.pyannote[1706].speaker SPEAKER_08
transcript.pyannote[1706].start 8876.02784375
transcript.pyannote[1706].end 8876.58471875
transcript.pyannote[1707].speaker SPEAKER_06
transcript.pyannote[1707].start 8876.58471875
transcript.pyannote[1707].end 8876.60159375
transcript.pyannote[1708].speaker SPEAKER_06
transcript.pyannote[1708].start 8877.10784375
transcript.pyannote[1708].end 8877.14159375
transcript.pyannote[1709].speaker SPEAKER_08
transcript.pyannote[1709].start 8877.14159375
transcript.pyannote[1709].end 8877.96846875
transcript.pyannote[1710].speaker SPEAKER_06
transcript.pyannote[1710].start 8877.25971875
transcript.pyannote[1710].end 8877.73221875
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 8877.96846875
transcript.pyannote[1711].end 8878.81221875
transcript.pyannote[1712].speaker SPEAKER_08
transcript.pyannote[1712].start 8878.81221875
transcript.pyannote[1712].end 8879.28471875
transcript.pyannote[1713].speaker SPEAKER_06
transcript.pyannote[1713].start 8878.84596875
transcript.pyannote[1713].end 8883.55409375
transcript.pyannote[1714].speaker SPEAKER_08
transcript.pyannote[1714].start 8879.77409375
transcript.pyannote[1714].end 8880.49971875
transcript.pyannote[1715].speaker SPEAKER_08
transcript.pyannote[1715].start 8884.48221875
transcript.pyannote[1715].end 8901.03659375
transcript.pyannote[1716].speaker SPEAKER_06
transcript.pyannote[1716].start 8901.03659375
transcript.pyannote[1716].end 8901.10409375
transcript.pyannote[1717].speaker SPEAKER_08
transcript.pyannote[1717].start 8901.47534375
transcript.pyannote[1717].end 8901.50909375
transcript.pyannote[1718].speaker SPEAKER_06
transcript.pyannote[1718].start 8901.50909375
transcript.pyannote[1718].end 8901.98159375
transcript.pyannote[1719].speaker SPEAKER_06
transcript.pyannote[1719].start 8902.97721875
transcript.pyannote[1719].end 8911.81971875
transcript.pyannote[1720].speaker SPEAKER_06
transcript.pyannote[1720].start 8912.34284375
transcript.pyannote[1720].end 8918.89034375
transcript.pyannote[1721].speaker SPEAKER_08
transcript.pyannote[1721].start 8918.89034375
transcript.pyannote[1721].end 8918.94096875
transcript.pyannote[1722].speaker SPEAKER_06
transcript.pyannote[1722].start 8919.75096875
transcript.pyannote[1722].end 8919.76784375
transcript.pyannote[1723].speaker SPEAKER_08
transcript.pyannote[1723].start 8919.76784375
transcript.pyannote[1723].end 8920.93221875
transcript.pyannote[1724].speaker SPEAKER_08
transcript.pyannote[1724].start 8921.69159375
transcript.pyannote[1724].end 8924.69534375
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 8925.40409375
transcript.pyannote[1725].end 8930.41596875
transcript.pyannote[1726].speaker SPEAKER_08
transcript.pyannote[1726].start 8931.07409375
transcript.pyannote[1726].end 8934.46596875
transcript.pyannote[1727].speaker SPEAKER_08
transcript.pyannote[1727].start 8934.53346875
transcript.pyannote[1727].end 8945.97471875
transcript.pyannote[1728].speaker SPEAKER_08
transcript.pyannote[1728].start 8946.48096875
transcript.pyannote[1728].end 8947.69596875
transcript.pyannote[1729].speaker SPEAKER_08
transcript.pyannote[1729].start 8948.30346875
transcript.pyannote[1729].end 8955.79596875
transcript.pyannote[1730].speaker SPEAKER_08
transcript.pyannote[1730].start 8955.89721875
transcript.pyannote[1730].end 8959.89659375
transcript.pyannote[1731].speaker SPEAKER_08
transcript.pyannote[1731].start 8959.99784375
transcript.pyannote[1731].end 8963.20409375
transcript.pyannote[1732].speaker SPEAKER_08
transcript.pyannote[1732].start 8963.37284375
transcript.pyannote[1732].end 8973.36284375
transcript.pyannote[1733].speaker SPEAKER_06
transcript.pyannote[1733].start 8973.36284375
transcript.pyannote[1733].end 8973.37971875
transcript.pyannote[1734].speaker SPEAKER_08
transcript.pyannote[1734].start 8974.67909375
transcript.pyannote[1734].end 8974.69596875
transcript.pyannote[1735].speaker SPEAKER_06
transcript.pyannote[1735].start 8974.69596875
transcript.pyannote[1735].end 8975.77596875
transcript.pyannote[1736].speaker SPEAKER_06
transcript.pyannote[1736].start 8976.19784375
transcript.pyannote[1736].end 8983.87596875
transcript.pyannote[1737].speaker SPEAKER_08
transcript.pyannote[1737].start 8983.28534375
transcript.pyannote[1737].end 8987.99346875
transcript.pyannote[1738].speaker SPEAKER_08
transcript.pyannote[1738].start 8988.26346875
transcript.pyannote[1738].end 9009.08721875
transcript.pyannote[1739].speaker SPEAKER_08
transcript.pyannote[1739].start 9009.22221875
transcript.pyannote[1739].end 9016.27596875
transcript.pyannote[1740].speaker SPEAKER_08
transcript.pyannote[1740].start 9016.71471875
transcript.pyannote[1740].end 9019.36409375
transcript.pyannote[1741].speaker SPEAKER_08
transcript.pyannote[1741].start 9019.54971875
transcript.pyannote[1741].end 9020.54534375
transcript.pyannote[1742].speaker SPEAKER_08
transcript.pyannote[1742].start 9020.83221875
transcript.pyannote[1742].end 9033.79221875
transcript.pyannote[1743].speaker SPEAKER_08
transcript.pyannote[1743].start 9034.21409375
transcript.pyannote[1743].end 9037.03221875
transcript.pyannote[1744].speaker SPEAKER_06
transcript.pyannote[1744].start 9037.03221875
transcript.pyannote[1744].end 9037.08284375
transcript.pyannote[1745].speaker SPEAKER_06
transcript.pyannote[1745].start 9037.75784375
transcript.pyannote[1745].end 9041.90909375
transcript.pyannote[1746].speaker SPEAKER_06
transcript.pyannote[1746].start 9042.28034375
transcript.pyannote[1746].end 9045.46971875
transcript.pyannote[1747].speaker SPEAKER_06
transcript.pyannote[1747].start 9045.68909375
transcript.pyannote[1747].end 9047.81534375
transcript.pyannote[1748].speaker SPEAKER_06
transcript.pyannote[1748].start 9048.06846875
transcript.pyannote[1748].end 9052.97909375
transcript.pyannote[1749].speaker SPEAKER_08
transcript.pyannote[1749].start 9052.97909375
transcript.pyannote[1749].end 9055.83096875
transcript.pyannote[1750].speaker SPEAKER_08
transcript.pyannote[1750].start 9056.75909375
transcript.pyannote[1750].end 9058.02471875
transcript.pyannote[1751].speaker SPEAKER_06
transcript.pyannote[1751].start 9057.19784375
transcript.pyannote[1751].end 9057.21471875
transcript.pyannote[1752].speaker SPEAKER_06
transcript.pyannote[1752].start 9057.36659375
transcript.pyannote[1752].end 9057.48471875
transcript.pyannote[1753].speaker SPEAKER_06
transcript.pyannote[1753].start 9058.02471875
transcript.pyannote[1753].end 9065.97284375
transcript.pyannote[1754].speaker SPEAKER_08
transcript.pyannote[1754].start 9065.97284375
transcript.pyannote[1754].end 9076.45221875
transcript.pyannote[1755].speaker SPEAKER_08
transcript.pyannote[1755].start 9077.12721875
transcript.pyannote[1755].end 9080.26596875
transcript.pyannote[1756].speaker SPEAKER_08
transcript.pyannote[1756].start 9080.82284375
transcript.pyannote[1756].end 9084.97409375
transcript.pyannote[1757].speaker SPEAKER_06
transcript.pyannote[1757].start 9086.29034375
transcript.pyannote[1757].end 9092.93909375
transcript.pyannote[1758].speaker SPEAKER_06
transcript.pyannote[1758].start 9092.97284375
transcript.pyannote[1758].end 9092.98971875
transcript.pyannote[1759].speaker SPEAKER_06
transcript.pyannote[1759].start 9093.12471875
transcript.pyannote[1759].end 9095.82471875
transcript.pyannote[1760].speaker SPEAKER_08
transcript.pyannote[1760].start 9094.05284375
transcript.pyannote[1760].end 9111.21471875
transcript.pyannote[1761].speaker SPEAKER_06
transcript.pyannote[1761].start 9098.59221875
transcript.pyannote[1761].end 9099.16596875
transcript.pyannote[1762].speaker SPEAKER_00
transcript.pyannote[1762].start 9099.16596875
transcript.pyannote[1762].end 9099.21659375
transcript.pyannote[1763].speaker SPEAKER_00
transcript.pyannote[1763].start 9102.05159375
transcript.pyannote[1763].end 9102.13596875
transcript.pyannote[1764].speaker SPEAKER_08
transcript.pyannote[1764].start 9111.63659375
transcript.pyannote[1764].end 9121.93034375
transcript.pyannote[1765].speaker SPEAKER_08
transcript.pyannote[1765].start 9122.65596875
transcript.pyannote[1765].end 9127.75221875
transcript.pyannote[1766].speaker SPEAKER_08
transcript.pyannote[1766].start 9128.17409375
transcript.pyannote[1766].end 9138.34971875
transcript.pyannote[1767].speaker SPEAKER_06
transcript.pyannote[1767].start 9132.10596875
transcript.pyannote[1767].end 9132.56159375
transcript.pyannote[1768].speaker SPEAKER_08
transcript.pyannote[1768].start 9138.73784375
transcript.pyannote[1768].end 9139.59846875
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 9140.23971875
transcript.pyannote[1769].end 9142.14659375
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 9142.61909375
transcript.pyannote[1770].end 9143.74971875
transcript.pyannote[1771].speaker SPEAKER_08
transcript.pyannote[1771].start 9144.22221875
transcript.pyannote[1771].end 9146.04471875
transcript.pyannote[1772].speaker SPEAKER_06
transcript.pyannote[1772].start 9147.51284375
transcript.pyannote[1772].end 9154.85346875
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 9154.85346875
transcript.pyannote[1773].end 9154.92096875
transcript.pyannote[1774].speaker SPEAKER_06
transcript.pyannote[1774].start 9154.92096875
transcript.pyannote[1774].end 9154.97159375
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 9154.97159375
transcript.pyannote[1775].end 9155.59596875
transcript.pyannote[1776].speaker SPEAKER_08
transcript.pyannote[1776].start 9155.96721875
transcript.pyannote[1776].end 9172.58909375
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 9172.84221875
transcript.pyannote[1777].end 9180.38534375
transcript.pyannote[1778].speaker SPEAKER_08
transcript.pyannote[1778].start 9180.62159375
transcript.pyannote[1778].end 9180.65534375
transcript.pyannote[1779].speaker SPEAKER_06
transcript.pyannote[1779].start 9180.65534375
transcript.pyannote[1779].end 9189.66659375
transcript.pyannote[1780].speaker SPEAKER_08
transcript.pyannote[1780].start 9189.66659375
transcript.pyannote[1780].end 9189.76784375
transcript.pyannote[1781].speaker SPEAKER_08
transcript.pyannote[1781].start 9189.93659375
transcript.pyannote[1781].end 9189.97034375
transcript.pyannote[1782].speaker SPEAKER_06
transcript.pyannote[1782].start 9189.97034375
transcript.pyannote[1782].end 9190.96596875
transcript.pyannote[1783].speaker SPEAKER_08
transcript.pyannote[1783].start 9190.96596875
transcript.pyannote[1783].end 9197.68221875
transcript.pyannote[1784].speaker SPEAKER_08
transcript.pyannote[1784].start 9198.39096875
transcript.pyannote[1784].end 9199.99409375
transcript.pyannote[1785].speaker SPEAKER_08
transcript.pyannote[1785].start 9200.17971875
transcript.pyannote[1785].end 9205.57971875
transcript.pyannote[1786].speaker SPEAKER_03
transcript.pyannote[1786].start 9200.56784375
transcript.pyannote[1786].end 9200.98971875
transcript.pyannote[1787].speaker SPEAKER_08
transcript.pyannote[1787].start 9206.30534375
transcript.pyannote[1787].end 9216.32909375
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 9216.46409375
transcript.pyannote[1788].end 9221.08784375
transcript.pyannote[1789].speaker SPEAKER_06
transcript.pyannote[1789].start 9221.08784375
transcript.pyannote[1789].end 9221.83034375
transcript.pyannote[1790].speaker SPEAKER_08
transcript.pyannote[1790].start 9221.83034375
transcript.pyannote[1790].end 9222.03284375
transcript.pyannote[1791].speaker SPEAKER_06
transcript.pyannote[1791].start 9222.03284375
transcript.pyannote[1791].end 9223.77096875
transcript.pyannote[1792].speaker SPEAKER_08
transcript.pyannote[1792].start 9223.50096875
transcript.pyannote[1792].end 9226.67346875
transcript.pyannote[1793].speaker SPEAKER_06
transcript.pyannote[1793].start 9225.00284375
transcript.pyannote[1793].end 9233.01846875
transcript.pyannote[1794].speaker SPEAKER_08
transcript.pyannote[1794].start 9231.88784375
transcript.pyannote[1794].end 9234.82409375
transcript.pyannote[1795].speaker SPEAKER_08
transcript.pyannote[1795].start 9234.85784375
transcript.pyannote[1795].end 9241.11846875
transcript.pyannote[1796].speaker SPEAKER_08
transcript.pyannote[1796].start 9241.62471875
transcript.pyannote[1796].end 9244.22346875
transcript.pyannote[1797].speaker SPEAKER_08
transcript.pyannote[1797].start 9244.78034375
transcript.pyannote[1797].end 9246.26534375
transcript.pyannote[1798].speaker SPEAKER_08
transcript.pyannote[1798].start 9246.65346875
transcript.pyannote[1798].end 9247.29471875
transcript.pyannote[1799].speaker SPEAKER_08
transcript.pyannote[1799].start 9247.61534375
transcript.pyannote[1799].end 9249.30284375
transcript.pyannote[1800].speaker SPEAKER_08
transcript.pyannote[1800].start 9249.47159375
transcript.pyannote[1800].end 9252.25596875
transcript.pyannote[1801].speaker SPEAKER_06
transcript.pyannote[1801].start 9253.45409375
transcript.pyannote[1801].end 9257.20034375
transcript.pyannote[1802].speaker SPEAKER_08
transcript.pyannote[1802].start 9254.19659375
transcript.pyannote[1802].end 9257.67284375
transcript.pyannote[1803].speaker SPEAKER_06
transcript.pyannote[1803].start 9257.74034375
transcript.pyannote[1803].end 9260.11971875
transcript.pyannote[1804].speaker SPEAKER_08
transcript.pyannote[1804].start 9260.18721875
transcript.pyannote[1804].end 9260.99721875
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 9260.99721875
transcript.pyannote[1805].end 9261.28409375
transcript.pyannote[1806].speaker SPEAKER_08
transcript.pyannote[1806].start 9261.38534375
transcript.pyannote[1806].end 9262.71846875
transcript.pyannote[1807].speaker SPEAKER_08
transcript.pyannote[1807].start 9262.93784375
transcript.pyannote[1807].end 9266.85284375
transcript.pyannote[1808].speaker SPEAKER_08
transcript.pyannote[1808].start 9267.34221875
transcript.pyannote[1808].end 9270.61596875
transcript.pyannote[1809].speaker SPEAKER_08
transcript.pyannote[1809].start 9270.83534375
transcript.pyannote[1809].end 9280.53846875
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 9281.04471875
transcript.pyannote[1810].end 9281.70284375
transcript.pyannote[1811].speaker SPEAKER_08
transcript.pyannote[1811].start 9282.93471875
transcript.pyannote[1811].end 9283.91346875
transcript.pyannote[1812].speaker SPEAKER_08
transcript.pyannote[1812].start 9284.40284375
transcript.pyannote[1812].end 9285.87096875
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 9286.25909375
transcript.pyannote[1813].end 9288.21659375
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 9288.90846875
transcript.pyannote[1814].end 9290.91659375
transcript.pyannote[1815].speaker SPEAKER_08
transcript.pyannote[1815].start 9291.13596875
transcript.pyannote[1815].end 9292.75596875
transcript.pyannote[1816].speaker SPEAKER_08
transcript.pyannote[1816].start 9293.22846875
transcript.pyannote[1816].end 9294.25784375
transcript.pyannote[1817].speaker SPEAKER_08
transcript.pyannote[1817].start 9294.42659375
transcript.pyannote[1817].end 9295.32096875
transcript.pyannote[1818].speaker SPEAKER_06
transcript.pyannote[1818].start 9295.32096875
transcript.pyannote[1818].end 9295.33784375
transcript.pyannote[1819].speaker SPEAKER_06
transcript.pyannote[1819].start 9295.54034375
transcript.pyannote[1819].end 9296.13096875
transcript.pyannote[1820].speaker SPEAKER_06
transcript.pyannote[1820].start 9297.86909375
transcript.pyannote[1820].end 9302.44221875
transcript.pyannote[1821].speaker SPEAKER_06
transcript.pyannote[1821].start 9302.84721875
transcript.pyannote[1821].end 9302.86409375
transcript.pyannote[1822].speaker SPEAKER_08
transcript.pyannote[1822].start 9302.86409375
transcript.pyannote[1822].end 9311.57159375
transcript.pyannote[1823].speaker SPEAKER_06
transcript.pyannote[1823].start 9311.57159375
transcript.pyannote[1823].end 9311.58846875
transcript.pyannote[1824].speaker SPEAKER_08
transcript.pyannote[1824].start 9311.58846875
transcript.pyannote[1824].end 9311.77409375
transcript.pyannote[1825].speaker SPEAKER_06
transcript.pyannote[1825].start 9311.77409375
transcript.pyannote[1825].end 9311.97659375
transcript.pyannote[1826].speaker SPEAKER_08
transcript.pyannote[1826].start 9311.97659375
transcript.pyannote[1826].end 9311.99346875
transcript.pyannote[1827].speaker SPEAKER_06
transcript.pyannote[1827].start 9311.99346875
transcript.pyannote[1827].end 9312.02721875
transcript.pyannote[1828].speaker SPEAKER_08
transcript.pyannote[1828].start 9312.02721875
transcript.pyannote[1828].end 9327.83909375
transcript.pyannote[1829].speaker SPEAKER_06
transcript.pyannote[1829].start 9316.29659375
transcript.pyannote[1829].end 9316.66784375
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 9328.54784375
transcript.pyannote[1830].end 9329.81346875
transcript.pyannote[1831].speaker SPEAKER_06
transcript.pyannote[1831].start 9329.81346875
transcript.pyannote[1831].end 9329.86409375
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 9330.60659375
transcript.pyannote[1832].end 9330.62346875
transcript.pyannote[1833].speaker SPEAKER_06
transcript.pyannote[1833].start 9330.62346875
transcript.pyannote[1833].end 9337.37346875
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 9337.30596875
transcript.pyannote[1834].end 9340.22534375
transcript.pyannote[1835].speaker SPEAKER_06
transcript.pyannote[1835].start 9338.01471875
transcript.pyannote[1835].end 9338.80784375
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 9340.79909375
transcript.pyannote[1836].end 9341.65971875
transcript.pyannote[1837].speaker SPEAKER_06
transcript.pyannote[1837].start 9340.84971875
transcript.pyannote[1837].end 9343.33034375
transcript.pyannote[1838].speaker SPEAKER_08
transcript.pyannote[1838].start 9342.70596875
transcript.pyannote[1838].end 9347.05971875
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 9348.32534375
transcript.pyannote[1839].end 9349.72596875
transcript.pyannote[1840].speaker SPEAKER_08
transcript.pyannote[1840].start 9349.92846875
transcript.pyannote[1840].end 9356.02034375
transcript.pyannote[1841].speaker SPEAKER_06
transcript.pyannote[1841].start 9352.29096875
transcript.pyannote[1841].end 9352.88159375
transcript.pyannote[1842].speaker SPEAKER_08
transcript.pyannote[1842].start 9356.45909375
transcript.pyannote[1842].end 9357.23534375
transcript.pyannote[1843].speaker SPEAKER_06
transcript.pyannote[1843].start 9356.49284375
transcript.pyannote[1843].end 9360.94784375
transcript.pyannote[1844].speaker SPEAKER_08
transcript.pyannote[1844].start 9360.18846875
transcript.pyannote[1844].end 9365.60534375
transcript.pyannote[1845].speaker SPEAKER_06
transcript.pyannote[1845].start 9361.69034375
transcript.pyannote[1845].end 9362.16284375
transcript.pyannote[1846].speaker SPEAKER_06
transcript.pyannote[1846].start 9366.60096875
transcript.pyannote[1846].end 9368.89596875
transcript.pyannote[1847].speaker SPEAKER_08
transcript.pyannote[1847].start 9368.40659375
transcript.pyannote[1847].end 9376.03409375
transcript.pyannote[1848].speaker SPEAKER_08
transcript.pyannote[1848].start 9376.30409375
transcript.pyannote[1848].end 9378.93659375
transcript.pyannote[1849].speaker SPEAKER_08
transcript.pyannote[1849].start 9379.79721875
transcript.pyannote[1849].end 9387.57659375
transcript.pyannote[1850].speaker SPEAKER_06
transcript.pyannote[1850].start 9387.57659375
transcript.pyannote[1850].end 9393.78659375
transcript.pyannote[1851].speaker SPEAKER_08
transcript.pyannote[1851].start 9392.99346875
transcript.pyannote[1851].end 9393.41534375
transcript.pyannote[1852].speaker SPEAKER_06
transcript.pyannote[1852].start 9394.03971875
transcript.pyannote[1852].end 9399.55784375
transcript.pyannote[1853].speaker SPEAKER_08
transcript.pyannote[1853].start 9396.68909375
transcript.pyannote[1853].end 9398.05596875
transcript.pyannote[1854].speaker SPEAKER_06
transcript.pyannote[1854].start 9400.55346875
transcript.pyannote[1854].end 9411.60659375
transcript.pyannote[1855].speaker SPEAKER_08
transcript.pyannote[1855].start 9412.28159375
transcript.pyannote[1855].end 9426.15284375
transcript.pyannote[1856].speaker SPEAKER_06
transcript.pyannote[1856].start 9419.11596875
transcript.pyannote[1856].end 9419.50409375
transcript.pyannote[1857].speaker SPEAKER_08
transcript.pyannote[1857].start 9426.69284375
transcript.pyannote[1857].end 9443.71971875
transcript.pyannote[1858].speaker SPEAKER_08
transcript.pyannote[1858].start 9445.13721875
transcript.pyannote[1858].end 9446.60534375
transcript.pyannote[1859].speaker SPEAKER_08
transcript.pyannote[1859].start 9446.85846875
transcript.pyannote[1859].end 9447.85409375
transcript.pyannote[1860].speaker SPEAKER_08
transcript.pyannote[1860].start 9448.05659375
transcript.pyannote[1860].end 9449.76096875
transcript.pyannote[1861].speaker SPEAKER_08
transcript.pyannote[1861].start 9449.92971875
transcript.pyannote[1861].end 9451.24596875
transcript.pyannote[1862].speaker SPEAKER_08
transcript.pyannote[1862].start 9451.73534375
transcript.pyannote[1862].end 9454.31721875
transcript.pyannote[1863].speaker SPEAKER_08
transcript.pyannote[1863].start 9454.72221875
transcript.pyannote[1863].end 9456.44346875
transcript.pyannote[1864].speaker SPEAKER_08
transcript.pyannote[1864].start 9457.20284375
transcript.pyannote[1864].end 9459.51471875
transcript.pyannote[1865].speaker SPEAKER_08
transcript.pyannote[1865].start 9460.37534375
transcript.pyannote[1865].end 9460.96596875
transcript.pyannote[1866].speaker SPEAKER_08
transcript.pyannote[1866].start 9461.28659375
transcript.pyannote[1866].end 9463.10909375
transcript.pyannote[1867].speaker SPEAKER_08
transcript.pyannote[1867].start 9463.49721875
transcript.pyannote[1867].end 9465.69096875
transcript.pyannote[1868].speaker SPEAKER_08
transcript.pyannote[1868].start 9466.95659375
transcript.pyannote[1868].end 9474.31409375
transcript.pyannote[1869].speaker SPEAKER_08
transcript.pyannote[1869].start 9474.97221875
transcript.pyannote[1869].end 9477.72284375
transcript.pyannote[1870].speaker SPEAKER_08
transcript.pyannote[1870].start 9478.09409375
transcript.pyannote[1870].end 9479.49471875
transcript.pyannote[1871].speaker SPEAKER_08
transcript.pyannote[1871].start 9479.71409375
transcript.pyannote[1871].end 9485.09721875
transcript.pyannote[1872].speaker SPEAKER_08
transcript.pyannote[1872].start 9485.83971875
transcript.pyannote[1872].end 9497.65221875
transcript.pyannote[1873].speaker SPEAKER_08
transcript.pyannote[1873].start 9497.95596875
transcript.pyannote[1873].end 9499.77846875
transcript.pyannote[1874].speaker SPEAKER_08
transcript.pyannote[1874].start 9500.04846875
transcript.pyannote[1874].end 9502.86659375
transcript.pyannote[1875].speaker SPEAKER_08
transcript.pyannote[1875].start 9503.49096875
transcript.pyannote[1875].end 9505.38096875
transcript.pyannote[1876].speaker SPEAKER_08
transcript.pyannote[1876].start 9505.71846875
transcript.pyannote[1876].end 9509.75159375
transcript.pyannote[1877].speaker SPEAKER_08
transcript.pyannote[1877].start 9510.51096875
transcript.pyannote[1877].end 9511.92846875
transcript.pyannote[1878].speaker SPEAKER_08
transcript.pyannote[1878].start 9512.50221875
transcript.pyannote[1878].end 9512.53596875
transcript.pyannote[1879].speaker SPEAKER_06
transcript.pyannote[1879].start 9512.53596875
transcript.pyannote[1879].end 9513.61596875
transcript.pyannote[1880].speaker SPEAKER_06
transcript.pyannote[1880].start 9514.08846875
transcript.pyannote[1880].end 9517.27784375
transcript.pyannote[1881].speaker SPEAKER_06
transcript.pyannote[1881].start 9517.75034375
transcript.pyannote[1881].end 9520.45034375
transcript.pyannote[1882].speaker SPEAKER_06
transcript.pyannote[1882].start 9520.61909375
transcript.pyannote[1882].end 9520.97346875
transcript.pyannote[1883].speaker SPEAKER_08
transcript.pyannote[1883].start 9520.97346875
transcript.pyannote[1883].end 9525.85034375
transcript.pyannote[1884].speaker SPEAKER_06
transcript.pyannote[1884].start 9524.19659375
transcript.pyannote[1884].end 9524.29784375
transcript.pyannote[1885].speaker SPEAKER_22
transcript.pyannote[1885].start 9524.29784375
transcript.pyannote[1885].end 9524.46659375
transcript.pyannote[1886].speaker SPEAKER_06
transcript.pyannote[1886].start 9524.46659375
transcript.pyannote[1886].end 9524.53409375
transcript.pyannote[1887].speaker SPEAKER_06
transcript.pyannote[1887].start 9524.75346875
transcript.pyannote[1887].end 9524.78721875
transcript.pyannote[1888].speaker SPEAKER_22
transcript.pyannote[1888].start 9524.78721875
transcript.pyannote[1888].end 9530.32221875
transcript.pyannote[1889].speaker SPEAKER_03
transcript.pyannote[1889].start 9550.42034375
transcript.pyannote[1889].end 9552.69846875
transcript.pyannote[1890].speaker SPEAKER_03
transcript.pyannote[1890].start 9553.39034375
transcript.pyannote[1890].end 9555.88784375
transcript.pyannote[1891].speaker SPEAKER_03
transcript.pyannote[1891].start 9555.93846875
transcript.pyannote[1891].end 9556.88346875
transcript.pyannote[1892].speaker SPEAKER_03
transcript.pyannote[1892].start 9561.70971875
transcript.pyannote[1892].end 9561.72659375
transcript.pyannote[1893].speaker SPEAKER_04
transcript.pyannote[1893].start 9561.72659375
transcript.pyannote[1893].end 9562.40159375
transcript.pyannote[1894].speaker SPEAKER_04
transcript.pyannote[1894].start 9563.39721875
transcript.pyannote[1894].end 9564.78096875
transcript.pyannote[1895].speaker SPEAKER_04
transcript.pyannote[1895].start 9565.35471875
transcript.pyannote[1895].end 9566.78909375
transcript.pyannote[1896].speaker SPEAKER_04
transcript.pyannote[1896].start 9568.25721875
transcript.pyannote[1896].end 9569.50596875
transcript.pyannote[1897].speaker SPEAKER_04
transcript.pyannote[1897].start 9570.09659375
transcript.pyannote[1897].end 9572.98221875
transcript.pyannote[1898].speaker SPEAKER_04
transcript.pyannote[1898].start 9573.38721875
transcript.pyannote[1898].end 9575.93534375
transcript.pyannote[1899].speaker SPEAKER_04
transcript.pyannote[1899].start 9576.28971875
transcript.pyannote[1899].end 9578.33159375
transcript.pyannote[1900].speaker SPEAKER_04
transcript.pyannote[1900].start 9578.48346875
transcript.pyannote[1900].end 9580.62659375
transcript.pyannote[1901].speaker SPEAKER_04
transcript.pyannote[1901].start 9581.08221875
transcript.pyannote[1901].end 9581.74034375
transcript.pyannote[1902].speaker SPEAKER_04
transcript.pyannote[1902].start 9582.09471875
transcript.pyannote[1902].end 9584.86221875
transcript.pyannote[1903].speaker SPEAKER_04
transcript.pyannote[1903].start 9585.28409375
transcript.pyannote[1903].end 9587.59596875
transcript.pyannote[1904].speaker SPEAKER_04
transcript.pyannote[1904].start 9587.78159375
transcript.pyannote[1904].end 9590.24534375
transcript.pyannote[1905].speaker SPEAKER_04
transcript.pyannote[1905].start 9590.73471875
transcript.pyannote[1905].end 9592.16909375
transcript.pyannote[1906].speaker SPEAKER_04
transcript.pyannote[1906].start 9592.25346875
transcript.pyannote[1906].end 9592.30409375
transcript.pyannote[1907].speaker SPEAKER_04
transcript.pyannote[1907].start 9592.32096875
transcript.pyannote[1907].end 9594.27846875
transcript.pyannote[1908].speaker SPEAKER_04
transcript.pyannote[1908].start 9594.98721875
transcript.pyannote[1908].end 9598.85159375
transcript.pyannote[1909].speaker SPEAKER_04
transcript.pyannote[1909].start 9599.59409375
transcript.pyannote[1909].end 9604.67346875
transcript.pyannote[1910].speaker SPEAKER_04
transcript.pyannote[1910].start 9605.11221875
transcript.pyannote[1910].end 9606.64784375
transcript.pyannote[1911].speaker SPEAKER_04
transcript.pyannote[1911].start 9607.05284375
transcript.pyannote[1911].end 9608.85846875
transcript.pyannote[1912].speaker SPEAKER_04
transcript.pyannote[1912].start 9609.68534375
transcript.pyannote[1912].end 9612.53721875
transcript.pyannote[1913].speaker SPEAKER_04
transcript.pyannote[1913].start 9613.24596875
transcript.pyannote[1913].end 9615.25409375
transcript.pyannote[1914].speaker SPEAKER_04
transcript.pyannote[1914].start 9615.55784375
transcript.pyannote[1914].end 9616.45221875
transcript.pyannote[1915].speaker SPEAKER_04
transcript.pyannote[1915].start 9617.12721875
transcript.pyannote[1915].end 9619.33784375
transcript.pyannote[1916].speaker SPEAKER_04
transcript.pyannote[1916].start 9619.99596875
transcript.pyannote[1916].end 9626.13846875
transcript.pyannote[1917].speaker SPEAKER_06
transcript.pyannote[1917].start 9626.94846875
transcript.pyannote[1917].end 9633.51284375
transcript.pyannote[1918].speaker SPEAKER_06
transcript.pyannote[1918].start 9633.79971875
transcript.pyannote[1918].end 9641.46096875
transcript.pyannote[1919].speaker SPEAKER_06
transcript.pyannote[1919].start 9641.56221875
transcript.pyannote[1919].end 9644.65034375
transcript.pyannote[1920].speaker SPEAKER_06
transcript.pyannote[1920].start 9644.93721875
transcript.pyannote[1920].end 9651.46784375
transcript.pyannote[1921].speaker SPEAKER_06
transcript.pyannote[1921].start 9651.90659375
transcript.pyannote[1921].end 9654.85971875
transcript.pyannote[1922].speaker SPEAKER_06
transcript.pyannote[1922].start 9655.31534375
transcript.pyannote[1922].end 9657.39096875
transcript.pyannote[1923].speaker SPEAKER_06
transcript.pyannote[1923].start 9657.82971875
transcript.pyannote[1923].end 9666.06471875
transcript.pyannote[1924].speaker SPEAKER_06
transcript.pyannote[1924].start 9666.40221875
transcript.pyannote[1924].end 9668.03909375
transcript.pyannote[1925].speaker SPEAKER_04
transcript.pyannote[1925].start 9667.53284375
transcript.pyannote[1925].end 9668.08971875
transcript.pyannote[1926].speaker SPEAKER_06
transcript.pyannote[1926].start 9668.08971875
transcript.pyannote[1926].end 9668.78159375
transcript.pyannote[1927].speaker SPEAKER_04
transcript.pyannote[1927].start 9668.78159375
transcript.pyannote[1927].end 9677.06721875
transcript.pyannote[1928].speaker SPEAKER_06
transcript.pyannote[1928].start 9668.79846875
transcript.pyannote[1928].end 9670.41846875
transcript.pyannote[1929].speaker SPEAKER_04
transcript.pyannote[1929].start 9677.69159375
transcript.pyannote[1929].end 9679.48034375
transcript.pyannote[1930].speaker SPEAKER_04
transcript.pyannote[1930].start 9680.32409375
transcript.pyannote[1930].end 9681.45471875
transcript.pyannote[1931].speaker SPEAKER_04
transcript.pyannote[1931].start 9681.65721875
transcript.pyannote[1931].end 9683.04096875
transcript.pyannote[1932].speaker SPEAKER_04
transcript.pyannote[1932].start 9683.44596875
transcript.pyannote[1932].end 9684.62721875
transcript.pyannote[1933].speaker SPEAKER_04
transcript.pyannote[1933].start 9685.42034375
transcript.pyannote[1933].end 9687.27659375
transcript.pyannote[1934].speaker SPEAKER_04
transcript.pyannote[1934].start 9687.56346875
transcript.pyannote[1934].end 9689.68971875
transcript.pyannote[1935].speaker SPEAKER_04
transcript.pyannote[1935].start 9690.12846875
transcript.pyannote[1935].end 9692.91284375
transcript.pyannote[1936].speaker SPEAKER_04
transcript.pyannote[1936].start 9693.40221875
transcript.pyannote[1936].end 9694.17846875
transcript.pyannote[1937].speaker SPEAKER_04
transcript.pyannote[1937].start 9694.46534375
transcript.pyannote[1937].end 9695.00534375
transcript.pyannote[1938].speaker SPEAKER_04
transcript.pyannote[1938].start 9695.61284375
transcript.pyannote[1938].end 9699.20721875
transcript.pyannote[1939].speaker SPEAKER_04
transcript.pyannote[1939].start 9699.44346875
transcript.pyannote[1939].end 9702.64971875
transcript.pyannote[1940].speaker SPEAKER_04
transcript.pyannote[1940].start 9702.98721875
transcript.pyannote[1940].end 9705.61971875
transcript.pyannote[1941].speaker SPEAKER_04
transcript.pyannote[1941].start 9705.95721875
transcript.pyannote[1941].end 9708.03284375
transcript.pyannote[1942].speaker SPEAKER_04
transcript.pyannote[1942].start 9708.26909375
transcript.pyannote[1942].end 9709.21409375
transcript.pyannote[1943].speaker SPEAKER_04
transcript.pyannote[1943].start 9709.78784375
transcript.pyannote[1943].end 9710.34471875
transcript.pyannote[1944].speaker SPEAKER_04
transcript.pyannote[1944].start 9710.63159375
transcript.pyannote[1944].end 9713.66909375
transcript.pyannote[1945].speaker SPEAKER_04
transcript.pyannote[1945].start 9713.98971875
transcript.pyannote[1945].end 9714.76596875
transcript.pyannote[1946].speaker SPEAKER_04
transcript.pyannote[1946].start 9715.25534375
transcript.pyannote[1946].end 9722.14034375
transcript.pyannote[1947].speaker SPEAKER_04
transcript.pyannote[1947].start 9722.47784375
transcript.pyannote[1947].end 9733.39596875
transcript.pyannote[1948].speaker SPEAKER_06
transcript.pyannote[1948].start 9729.68346875
transcript.pyannote[1948].end 9738.22221875
transcript.pyannote[1949].speaker SPEAKER_06
transcript.pyannote[1949].start 9738.67784375
transcript.pyannote[1949].end 9740.55096875
transcript.pyannote[1950].speaker SPEAKER_06
transcript.pyannote[1950].start 9740.88846875
transcript.pyannote[1950].end 9746.94659375
transcript.pyannote[1951].speaker SPEAKER_04
transcript.pyannote[1951].start 9746.94659375
transcript.pyannote[1951].end 9746.98034375
transcript.pyannote[1952].speaker SPEAKER_06
transcript.pyannote[1952].start 9747.87471875
transcript.pyannote[1952].end 9747.89159375
transcript.pyannote[1953].speaker SPEAKER_04
transcript.pyannote[1953].start 9747.89159375
transcript.pyannote[1953].end 9753.52784375
transcript.pyannote[1954].speaker SPEAKER_18
transcript.pyannote[1954].start 9753.52784375
transcript.pyannote[1954].end 9753.84846875
transcript.pyannote[1955].speaker SPEAKER_04
transcript.pyannote[1955].start 9753.84846875
transcript.pyannote[1955].end 9754.86096875
transcript.pyannote[1956].speaker SPEAKER_04
transcript.pyannote[1956].start 9755.35034375
transcript.pyannote[1956].end 9756.27846875
transcript.pyannote[1957].speaker SPEAKER_04
transcript.pyannote[1957].start 9756.97034375
transcript.pyannote[1957].end 9758.53971875
transcript.pyannote[1958].speaker SPEAKER_04
transcript.pyannote[1958].start 9759.16409375
transcript.pyannote[1958].end 9761.49284375
transcript.pyannote[1959].speaker SPEAKER_04
transcript.pyannote[1959].start 9762.15096875
transcript.pyannote[1959].end 9762.62346875
transcript.pyannote[1960].speaker SPEAKER_04
transcript.pyannote[1960].start 9763.19721875
transcript.pyannote[1960].end 9766.40346875
transcript.pyannote[1961].speaker SPEAKER_04
transcript.pyannote[1961].start 9767.71971875
transcript.pyannote[1961].end 9767.97284375
transcript.pyannote[1962].speaker SPEAKER_06
transcript.pyannote[1962].start 9767.97284375
transcript.pyannote[1962].end 9774.25034375
transcript.pyannote[1963].speaker SPEAKER_04
transcript.pyannote[1963].start 9774.25034375
transcript.pyannote[1963].end 9781.57409375
transcript.pyannote[1964].speaker SPEAKER_04
transcript.pyannote[1964].start 9782.06346875
transcript.pyannote[1964].end 9785.21909375
transcript.pyannote[1965].speaker SPEAKER_06
transcript.pyannote[1965].start 9785.21909375
transcript.pyannote[1965].end 9785.23596875
transcript.pyannote[1966].speaker SPEAKER_04
transcript.pyannote[1966].start 9786.68721875
transcript.pyannote[1966].end 9786.97409375
transcript.pyannote[1967].speaker SPEAKER_06
transcript.pyannote[1967].start 9786.97409375
transcript.pyannote[1967].end 9794.02784375
transcript.pyannote[1968].speaker SPEAKER_06
transcript.pyannote[1968].start 9794.55096875
transcript.pyannote[1968].end 9796.03596875
transcript.pyannote[1969].speaker SPEAKER_04
transcript.pyannote[1969].start 9796.03596875
transcript.pyannote[1969].end 9813.50159375
transcript.pyannote[1970].speaker SPEAKER_04
transcript.pyannote[1970].start 9813.67034375
transcript.pyannote[1970].end 9815.57721875
transcript.pyannote[1971].speaker SPEAKER_04
transcript.pyannote[1971].start 9816.13409375
transcript.pyannote[1971].end 9817.45034375
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 9817.77096875
transcript.pyannote[1972].end 9819.57659375
transcript.pyannote[1973].speaker SPEAKER_04
transcript.pyannote[1973].start 9819.66096875
transcript.pyannote[1973].end 9820.84221875
transcript.pyannote[1974].speaker SPEAKER_04
transcript.pyannote[1974].start 9821.06159375
transcript.pyannote[1974].end 9822.69846875
transcript.pyannote[1975].speaker SPEAKER_04
transcript.pyannote[1975].start 9822.90096875
transcript.pyannote[1975].end 9825.29721875
transcript.pyannote[1976].speaker SPEAKER_04
transcript.pyannote[1976].start 9825.66846875
transcript.pyannote[1976].end 9826.49534375
transcript.pyannote[1977].speaker SPEAKER_04
transcript.pyannote[1977].start 9826.76534375
transcript.pyannote[1977].end 9827.50784375
transcript.pyannote[1978].speaker SPEAKER_04
transcript.pyannote[1978].start 9827.94659375
transcript.pyannote[1978].end 9829.27971875
transcript.pyannote[1979].speaker SPEAKER_04
transcript.pyannote[1979].start 9829.88721875
transcript.pyannote[1979].end 9830.32596875
transcript.pyannote[1980].speaker SPEAKER_04
transcript.pyannote[1980].start 9830.91659375
transcript.pyannote[1980].end 9834.32534375
transcript.pyannote[1981].speaker SPEAKER_04
transcript.pyannote[1981].start 9834.76409375
transcript.pyannote[1981].end 9834.96659375
transcript.pyannote[1982].speaker SPEAKER_06
transcript.pyannote[1982].start 9834.96659375
transcript.pyannote[1982].end 9861.71346875
transcript.pyannote[1983].speaker SPEAKER_06
transcript.pyannote[1983].start 9862.08471875
transcript.pyannote[1983].end 9869.84721875
transcript.pyannote[1984].speaker SPEAKER_06
transcript.pyannote[1984].start 9870.21846875
transcript.pyannote[1984].end 9872.19284375
transcript.pyannote[1985].speaker SPEAKER_06
transcript.pyannote[1985].start 9873.18846875
transcript.pyannote[1985].end 9873.22221875
transcript.pyannote[1986].speaker SPEAKER_04
transcript.pyannote[1986].start 9873.22221875
transcript.pyannote[1986].end 9874.30221875
transcript.pyannote[1987].speaker SPEAKER_06
transcript.pyannote[1987].start 9874.62284375
transcript.pyannote[1987].end 9874.63971875
transcript.pyannote[1988].speaker SPEAKER_04
transcript.pyannote[1988].start 9874.63971875
transcript.pyannote[1988].end 9878.57159375
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 9879.39846875
transcript.pyannote[1989].end 9883.33034375
transcript.pyannote[1990].speaker SPEAKER_04
transcript.pyannote[1990].start 9883.78596875
transcript.pyannote[1990].end 9885.69284375
transcript.pyannote[1991].speaker SPEAKER_04
transcript.pyannote[1991].start 9886.23284375
transcript.pyannote[1991].end 9888.64596875
transcript.pyannote[1992].speaker SPEAKER_04
transcript.pyannote[1992].start 9889.11846875
transcript.pyannote[1992].end 9890.51909375
transcript.pyannote[1993].speaker SPEAKER_04
transcript.pyannote[1993].start 9890.97471875
transcript.pyannote[1993].end 9892.86471875
transcript.pyannote[1994].speaker SPEAKER_04
transcript.pyannote[1994].start 9893.13471875
transcript.pyannote[1994].end 9894.46784375
transcript.pyannote[1995].speaker SPEAKER_04
transcript.pyannote[1995].start 9895.09221875
transcript.pyannote[1995].end 9895.56471875
transcript.pyannote[1996].speaker SPEAKER_04
transcript.pyannote[1996].start 9896.50971875
transcript.pyannote[1996].end 9897.99471875
transcript.pyannote[1997].speaker SPEAKER_04
transcript.pyannote[1997].start 9898.73721875
transcript.pyannote[1997].end 9899.63159375
transcript.pyannote[1998].speaker SPEAKER_04
transcript.pyannote[1998].start 9899.83409375
transcript.pyannote[1998].end 9900.79596875
transcript.pyannote[1999].speaker SPEAKER_04
transcript.pyannote[1999].start 9901.35284375
transcript.pyannote[1999].end 9904.08659375
transcript.pyannote[2000].speaker SPEAKER_04
transcript.pyannote[2000].start 9904.49159375
transcript.pyannote[2000].end 9907.46159375
transcript.pyannote[2001].speaker SPEAKER_04
transcript.pyannote[2001].start 9907.98471875
transcript.pyannote[2001].end 9908.30534375
transcript.pyannote[2002].speaker SPEAKER_04
transcript.pyannote[2002].start 9908.76096875
transcript.pyannote[2002].end 9910.95471875
transcript.pyannote[2003].speaker SPEAKER_04
transcript.pyannote[2003].start 9911.25846875
transcript.pyannote[2003].end 9912.64221875
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 9913.26659375
transcript.pyannote[2004].end 9915.37596875
transcript.pyannote[2005].speaker SPEAKER_04
transcript.pyannote[2005].start 9916.23659375
transcript.pyannote[2005].end 9919.34159375
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 9920.15159375
transcript.pyannote[2006].end 9922.26096875
transcript.pyannote[2007].speaker SPEAKER_04
transcript.pyannote[2007].start 9922.56471875
transcript.pyannote[2007].end 9923.62784375
transcript.pyannote[2008].speaker SPEAKER_04
transcript.pyannote[2008].start 9924.25221875
transcript.pyannote[2008].end 9926.54721875
transcript.pyannote[2009].speaker SPEAKER_04
transcript.pyannote[2009].start 9927.05346875
transcript.pyannote[2009].end 9929.71971875
transcript.pyannote[2010].speaker SPEAKER_04
transcript.pyannote[2010].start 9930.52971875
transcript.pyannote[2010].end 9932.84159375
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 9933.82034375
transcript.pyannote[2011].end 9935.33909375
transcript.pyannote[2012].speaker SPEAKER_06
transcript.pyannote[2012].start 9935.33909375
transcript.pyannote[2012].end 9935.40659375
transcript.pyannote[2013].speaker SPEAKER_06
transcript.pyannote[2013].start 9935.77784375
transcript.pyannote[2013].end 9935.82846875
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 9935.82846875
transcript.pyannote[2014].end 9935.96346875
transcript.pyannote[2015].speaker SPEAKER_06
transcript.pyannote[2015].start 9935.96346875
transcript.pyannote[2015].end 9954.45846875
transcript.pyannote[2016].speaker SPEAKER_06
transcript.pyannote[2016].start 9954.55971875
transcript.pyannote[2016].end 9955.77471875
transcript.pyannote[2017].speaker SPEAKER_06
transcript.pyannote[2017].start 9956.44971875
transcript.pyannote[2017].end 9962.00159375
transcript.pyannote[2018].speaker SPEAKER_04
transcript.pyannote[2018].start 9962.00159375
transcript.pyannote[2018].end 9962.03534375
transcript.pyannote[2019].speaker SPEAKER_06
transcript.pyannote[2019].start 9962.62596875
transcript.pyannote[2019].end 9963.04784375
transcript.pyannote[2020].speaker SPEAKER_04
transcript.pyannote[2020].start 9963.04784375
transcript.pyannote[2020].end 9963.08159375
transcript.pyannote[2021].speaker SPEAKER_06
transcript.pyannote[2021].start 9963.87471875
transcript.pyannote[2021].end 9963.90846875
transcript.pyannote[2022].speaker SPEAKER_04
transcript.pyannote[2022].start 9963.90846875
transcript.pyannote[2022].end 9970.37159375
transcript.pyannote[2023].speaker SPEAKER_04
transcript.pyannote[2023].start 9970.81034375
transcript.pyannote[2023].end 9972.02534375
transcript.pyannote[2024].speaker SPEAKER_04
transcript.pyannote[2024].start 9972.27846875
transcript.pyannote[2024].end 9975.63659375
transcript.pyannote[2025].speaker SPEAKER_04
transcript.pyannote[2025].start 9976.12596875
transcript.pyannote[2025].end 9985.06971875
transcript.pyannote[2026].speaker SPEAKER_04
transcript.pyannote[2026].start 9985.39034375
transcript.pyannote[2026].end 9989.92971875
transcript.pyannote[2027].speaker SPEAKER_04
transcript.pyannote[2027].start 9990.82409375
transcript.pyannote[2027].end 9995.59971875
transcript.pyannote[2028].speaker SPEAKER_04
transcript.pyannote[2028].start 9996.07221875
transcript.pyannote[2028].end 10002.36659375
transcript.pyannote[2029].speaker SPEAKER_06
transcript.pyannote[2029].start 10002.36659375
transcript.pyannote[2029].end 10002.38346875
transcript.pyannote[2030].speaker SPEAKER_04
transcript.pyannote[2030].start 10002.97409375
transcript.pyannote[2030].end 10002.99096875
transcript.pyannote[2031].speaker SPEAKER_06
transcript.pyannote[2031].start 10002.99096875
transcript.pyannote[2031].end 10008.45846875
transcript.pyannote[2032].speaker SPEAKER_06
transcript.pyannote[2032].start 10009.03221875
transcript.pyannote[2032].end 10012.12034375
transcript.pyannote[2033].speaker SPEAKER_06
transcript.pyannote[2033].start 10012.57596875
transcript.pyannote[2033].end 10027.03784375
transcript.pyannote[2034].speaker SPEAKER_04
transcript.pyannote[2034].start 10027.03784375
transcript.pyannote[2034].end 10027.22346875
transcript.pyannote[2035].speaker SPEAKER_06
transcript.pyannote[2035].start 10027.22346875
transcript.pyannote[2035].end 10027.27409375
transcript.pyannote[2036].speaker SPEAKER_04
transcript.pyannote[2036].start 10027.27409375
transcript.pyannote[2036].end 10027.29096875
transcript.pyannote[2037].speaker SPEAKER_06
transcript.pyannote[2037].start 10027.29096875
transcript.pyannote[2037].end 10027.74659375
transcript.pyannote[2038].speaker SPEAKER_04
transcript.pyannote[2038].start 10027.74659375
transcript.pyannote[2038].end 10030.09221875
transcript.pyannote[2039].speaker SPEAKER_04
transcript.pyannote[2039].start 10030.36221875
transcript.pyannote[2039].end 10031.76284375
transcript.pyannote[2040].speaker SPEAKER_04
transcript.pyannote[2040].start 10032.80909375
transcript.pyannote[2040].end 10033.53471875
transcript.pyannote[2041].speaker SPEAKER_24
transcript.pyannote[2041].start 10038.49596875
transcript.pyannote[2041].end 10039.01909375
transcript.pyannote[2042].speaker SPEAKER_04
transcript.pyannote[2042].start 10039.84596875
transcript.pyannote[2042].end 10040.74034375
transcript.pyannote[2043].speaker SPEAKER_04
transcript.pyannote[2043].start 10040.97659375
transcript.pyannote[2043].end 10041.02721875
transcript.pyannote[2044].speaker SPEAKER_04
transcript.pyannote[2044].start 10041.65159375
transcript.pyannote[2044].end 10042.66409375
transcript.pyannote[2045].speaker SPEAKER_04
transcript.pyannote[2045].start 10042.95096875
transcript.pyannote[2045].end 10043.35596875
transcript.pyannote[2046].speaker SPEAKER_04
transcript.pyannote[2046].start 10045.00971875
transcript.pyannote[2046].end 10050.34221875
transcript.pyannote[2047].speaker SPEAKER_04
transcript.pyannote[2047].start 10051.01721875
transcript.pyannote[2047].end 10062.10409375
transcript.pyannote[2048].speaker SPEAKER_04
transcript.pyannote[2048].start 10062.32346875
transcript.pyannote[2048].end 10064.75346875
transcript.pyannote[2049].speaker SPEAKER_04
transcript.pyannote[2049].start 10065.17534375
transcript.pyannote[2049].end 10068.75284375
transcript.pyannote[2050].speaker SPEAKER_04
transcript.pyannote[2050].start 10069.10721875
transcript.pyannote[2050].end 10071.40221875
transcript.pyannote[2051].speaker SPEAKER_04
transcript.pyannote[2051].start 10071.97596875
transcript.pyannote[2051].end 10072.68471875
transcript.pyannote[2052].speaker SPEAKER_04
transcript.pyannote[2052].start 10073.47784375
transcript.pyannote[2052].end 10073.69721875
transcript.pyannote[2053].speaker SPEAKER_04
transcript.pyannote[2053].start 10073.96721875
transcript.pyannote[2053].end 10075.48596875
transcript.pyannote[2054].speaker SPEAKER_04
transcript.pyannote[2054].start 10076.90346875
transcript.pyannote[2054].end 10080.43034375
transcript.pyannote[2055].speaker SPEAKER_04
transcript.pyannote[2055].start 10081.22346875
transcript.pyannote[2055].end 10084.21034375
transcript.pyannote[2056].speaker SPEAKER_04
transcript.pyannote[2056].start 10084.26096875
transcript.pyannote[2056].end 10085.56034375
transcript.pyannote[2057].speaker SPEAKER_04
transcript.pyannote[2057].start 10085.88096875
transcript.pyannote[2057].end 10086.77534375
transcript.pyannote[2058].speaker SPEAKER_04
transcript.pyannote[2058].start 10086.97784375
transcript.pyannote[2058].end 10095.06096875
transcript.pyannote[2059].speaker SPEAKER_04
transcript.pyannote[2059].start 10095.31409375
transcript.pyannote[2059].end 10097.28846875
transcript.pyannote[2060].speaker SPEAKER_24
transcript.pyannote[2060].start 10099.33034375
transcript.pyannote[2060].end 10099.92096875
transcript.pyannote[2061].speaker SPEAKER_24
transcript.pyannote[2061].start 10100.49471875
transcript.pyannote[2061].end 10102.24971875
transcript.pyannote[2062].speaker SPEAKER_24
transcript.pyannote[2062].start 10103.02596875
transcript.pyannote[2062].end 10109.77596875
transcript.pyannote[2063].speaker SPEAKER_24
transcript.pyannote[2063].start 10110.43409375
transcript.pyannote[2063].end 10116.03659375
transcript.pyannote[2064].speaker SPEAKER_24
transcript.pyannote[2064].start 10116.25596875
transcript.pyannote[2064].end 10123.32659375
transcript.pyannote[2065].speaker SPEAKER_24
transcript.pyannote[2065].start 10123.71471875
transcript.pyannote[2065].end 10127.98409375
transcript.pyannote[2066].speaker SPEAKER_24
transcript.pyannote[2066].start 10128.47346875
transcript.pyannote[2066].end 10129.87409375
transcript.pyannote[2067].speaker SPEAKER_04
transcript.pyannote[2067].start 10128.86159375
transcript.pyannote[2067].end 10130.80221875
transcript.pyannote[2068].speaker SPEAKER_04
transcript.pyannote[2068].start 10131.13971875
transcript.pyannote[2068].end 10132.97909375
transcript.pyannote[2069].speaker SPEAKER_04
transcript.pyannote[2069].start 10133.62034375
transcript.pyannote[2069].end 10134.09284375
transcript.pyannote[2070].speaker SPEAKER_04
transcript.pyannote[2070].start 10135.17284375
transcript.pyannote[2070].end 10135.74659375
transcript.pyannote[2071].speaker SPEAKER_04
transcript.pyannote[2071].start 10138.12596875
transcript.pyannote[2071].end 10138.42971875
transcript.pyannote[2072].speaker SPEAKER_04
transcript.pyannote[2072].start 10138.85159375
transcript.pyannote[2072].end 10146.27659375
transcript.pyannote[2073].speaker SPEAKER_24
transcript.pyannote[2073].start 10145.78721875
transcript.pyannote[2073].end 10146.25971875
transcript.pyannote[2074].speaker SPEAKER_24
transcript.pyannote[2074].start 10146.27659375
transcript.pyannote[2074].end 10151.25471875
transcript.pyannote[2075].speaker SPEAKER_04
transcript.pyannote[2075].start 10146.49596875
transcript.pyannote[2075].end 10146.51284375
transcript.pyannote[2076].speaker SPEAKER_24
transcript.pyannote[2076].start 10151.74409375
transcript.pyannote[2076].end 10154.29221875
transcript.pyannote[2077].speaker SPEAKER_24
transcript.pyannote[2077].start 10154.93346875
transcript.pyannote[2077].end 10164.36659375
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 10158.81471875
transcript.pyannote[2078].end 10159.05096875
transcript.pyannote[2079].speaker SPEAKER_04
transcript.pyannote[2079].start 10159.05096875
transcript.pyannote[2079].end 10159.96221875
transcript.pyannote[2080].speaker SPEAKER_00
transcript.pyannote[2080].start 10159.96221875
transcript.pyannote[2080].end 10160.29971875
transcript.pyannote[2081].speaker SPEAKER_00
transcript.pyannote[2081].start 10160.58659375
transcript.pyannote[2081].end 10161.90284375
transcript.pyannote[2082].speaker SPEAKER_24
transcript.pyannote[2082].start 10164.40034375
transcript.pyannote[2082].end 10169.93534375
transcript.pyannote[2083].speaker SPEAKER_04
transcript.pyannote[2083].start 10164.60284375
transcript.pyannote[2083].end 10165.15971875
transcript.pyannote[2084].speaker SPEAKER_04
transcript.pyannote[2084].start 10165.96971875
transcript.pyannote[2084].end 10166.22284375
transcript.pyannote[2085].speaker SPEAKER_04
transcript.pyannote[2085].start 10168.75409375
transcript.pyannote[2085].end 10168.99034375
transcript.pyannote[2086].speaker SPEAKER_04
transcript.pyannote[2086].start 10170.27284375
transcript.pyannote[2086].end 10178.59221875
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 10178.92971875
transcript.pyannote[2087].end 10180.88721875
transcript.pyannote[2088].speaker SPEAKER_04
transcript.pyannote[2088].start 10181.46096875
transcript.pyannote[2088].end 10182.72659375
transcript.pyannote[2089].speaker SPEAKER_04
transcript.pyannote[2089].start 10183.14846875
transcript.pyannote[2089].end 10185.27471875
transcript.pyannote[2090].speaker SPEAKER_04
transcript.pyannote[2090].start 10185.59534375
transcript.pyannote[2090].end 10186.84409375
transcript.pyannote[2091].speaker SPEAKER_04
transcript.pyannote[2091].start 10187.26596875
transcript.pyannote[2091].end 10190.13471875
transcript.pyannote[2092].speaker SPEAKER_04
transcript.pyannote[2092].start 10190.69159375
transcript.pyannote[2092].end 10192.93596875
transcript.pyannote[2093].speaker SPEAKER_04
transcript.pyannote[2093].start 10193.66159375
transcript.pyannote[2093].end 10195.73721875
transcript.pyannote[2094].speaker SPEAKER_04
transcript.pyannote[2094].start 10196.69909375
transcript.pyannote[2094].end 10198.18409375
transcript.pyannote[2095].speaker SPEAKER_24
transcript.pyannote[2095].start 10199.43284375
transcript.pyannote[2095].end 10207.71846875
transcript.pyannote[2096].speaker SPEAKER_04
transcript.pyannote[2096].start 10209.72659375
transcript.pyannote[2096].end 10209.74346875
transcript.pyannote[2097].speaker SPEAKER_22
transcript.pyannote[2097].start 10209.74346875
transcript.pyannote[2097].end 10210.04721875
transcript.pyannote[2098].speaker SPEAKER_24
transcript.pyannote[2098].start 10210.04721875
transcript.pyannote[2098].end 10210.13159375
transcript.pyannote[2099].speaker SPEAKER_22
transcript.pyannote[2099].start 10210.13159375
transcript.pyannote[2099].end 10210.14846875
transcript.pyannote[2100].speaker SPEAKER_24
transcript.pyannote[2100].start 10210.14846875
transcript.pyannote[2100].end 10210.18221875
transcript.pyannote[2101].speaker SPEAKER_22
transcript.pyannote[2101].start 10210.18221875
transcript.pyannote[2101].end 10210.57034375
transcript.pyannote[2102].speaker SPEAKER_22
transcript.pyannote[2102].start 10211.51534375
transcript.pyannote[2102].end 10215.07596875
transcript.pyannote[2103].speaker SPEAKER_11
transcript.pyannote[2103].start 10230.14534375
transcript.pyannote[2103].end 10232.00159375
transcript.pyannote[2104].speaker SPEAKER_01
transcript.pyannote[2104].start 10232.18721875
transcript.pyannote[2104].end 10232.89596875
transcript.pyannote[2105].speaker SPEAKER_01
transcript.pyannote[2105].start 10238.32971875
transcript.pyannote[2105].end 10238.34659375
transcript.pyannote[2106].speaker SPEAKER_18
transcript.pyannote[2106].start 10238.34659375
transcript.pyannote[2106].end 10238.93721875
transcript.pyannote[2107].speaker SPEAKER_11
transcript.pyannote[2107].start 10239.29159375
transcript.pyannote[2107].end 10244.05034375
transcript.pyannote[2108].speaker SPEAKER_11
transcript.pyannote[2108].start 10244.75909375
transcript.pyannote[2108].end 10245.90659375
transcript.pyannote[2109].speaker SPEAKER_11
transcript.pyannote[2109].start 10246.68284375
transcript.pyannote[2109].end 10247.27346875
transcript.pyannote[2110].speaker SPEAKER_11
transcript.pyannote[2110].start 10247.66159375
transcript.pyannote[2110].end 10255.42409375
transcript.pyannote[2111].speaker SPEAKER_11
transcript.pyannote[2111].start 10255.94721875
transcript.pyannote[2111].end 10258.88346875
transcript.pyannote[2112].speaker SPEAKER_11
transcript.pyannote[2112].start 10258.93409375
transcript.pyannote[2112].end 10261.60034375
transcript.pyannote[2113].speaker SPEAKER_11
transcript.pyannote[2113].start 10262.08971875
transcript.pyannote[2113].end 10271.26971875
transcript.pyannote[2114].speaker SPEAKER_06
transcript.pyannote[2114].start 10273.56471875
transcript.pyannote[2114].end 10275.33659375
transcript.pyannote[2115].speaker SPEAKER_06
transcript.pyannote[2115].start 10276.18034375
transcript.pyannote[2115].end 10280.71971875
transcript.pyannote[2116].speaker SPEAKER_06
transcript.pyannote[2116].start 10281.24284375
transcript.pyannote[2116].end 10286.17034375
transcript.pyannote[2117].speaker SPEAKER_11
transcript.pyannote[2117].start 10286.54159375
transcript.pyannote[2117].end 10293.61221875
transcript.pyannote[2118].speaker SPEAKER_11
transcript.pyannote[2118].start 10294.06784375
transcript.pyannote[2118].end 10304.88471875
transcript.pyannote[2119].speaker SPEAKER_11
transcript.pyannote[2119].start 10305.10409375
transcript.pyannote[2119].end 10308.44534375
transcript.pyannote[2120].speaker SPEAKER_11
transcript.pyannote[2120].start 10308.59721875
transcript.pyannote[2120].end 10309.13721875
transcript.pyannote[2121].speaker SPEAKER_11
transcript.pyannote[2121].start 10309.33971875
transcript.pyannote[2121].end 10311.41534375
transcript.pyannote[2122].speaker SPEAKER_11
transcript.pyannote[2122].start 10312.12409375
transcript.pyannote[2122].end 10312.79909375
transcript.pyannote[2123].speaker SPEAKER_11
transcript.pyannote[2123].start 10313.00159375
transcript.pyannote[2123].end 10351.10534375
transcript.pyannote[2124].speaker SPEAKER_06
transcript.pyannote[2124].start 10352.96159375
transcript.pyannote[2124].end 10359.72846875
transcript.pyannote[2125].speaker SPEAKER_06
transcript.pyannote[2125].start 10360.01534375
transcript.pyannote[2125].end 10368.18284375
transcript.pyannote[2126].speaker SPEAKER_06
transcript.pyannote[2126].start 10368.60471875
transcript.pyannote[2126].end 10382.02034375
transcript.pyannote[2127].speaker SPEAKER_00
transcript.pyannote[2127].start 10378.89846875
transcript.pyannote[2127].end 10379.21909375
transcript.pyannote[2128].speaker SPEAKER_06
transcript.pyannote[2128].start 10382.49284375
transcript.pyannote[2128].end 10389.69846875
transcript.pyannote[2129].speaker SPEAKER_11
transcript.pyannote[2129].start 10390.28909375
transcript.pyannote[2129].end 10394.92971875
transcript.pyannote[2130].speaker SPEAKER_06
transcript.pyannote[2130].start 10393.32659375
transcript.pyannote[2130].end 10397.56221875
transcript.pyannote[2131].speaker SPEAKER_11
transcript.pyannote[2131].start 10395.87471875
transcript.pyannote[2131].end 10396.27971875
transcript.pyannote[2132].speaker SPEAKER_11
transcript.pyannote[2132].start 10396.88721875
transcript.pyannote[2132].end 10431.00846875
transcript.pyannote[2133].speaker SPEAKER_06
transcript.pyannote[2133].start 10432.15596875
transcript.pyannote[2133].end 10462.76721875
transcript.pyannote[2134].speaker SPEAKER_11
transcript.pyannote[2134].start 10461.55221875
transcript.pyannote[2134].end 10482.56159375
transcript.pyannote[2135].speaker SPEAKER_06
transcript.pyannote[2135].start 10465.07909375
transcript.pyannote[2135].end 10465.38284375
transcript.pyannote[2136].speaker SPEAKER_11
transcript.pyannote[2136].start 10483.05096875
transcript.pyannote[2136].end 10486.34159375
transcript.pyannote[2137].speaker SPEAKER_11
transcript.pyannote[2137].start 10486.45971875
transcript.pyannote[2137].end 10491.48846875
transcript.pyannote[2138].speaker SPEAKER_11
transcript.pyannote[2138].start 10491.82596875
transcript.pyannote[2138].end 10494.96471875
transcript.pyannote[2139].speaker SPEAKER_11
transcript.pyannote[2139].start 10495.04909375
transcript.pyannote[2139].end 10499.43659375
transcript.pyannote[2140].speaker SPEAKER_11
transcript.pyannote[2140].start 10501.27596875
transcript.pyannote[2140].end 10502.01846875
transcript.pyannote[2141].speaker SPEAKER_06
transcript.pyannote[2141].start 10502.01846875
transcript.pyannote[2141].end 10503.94221875
transcript.pyannote[2142].speaker SPEAKER_11
transcript.pyannote[2142].start 10503.94221875
transcript.pyannote[2142].end 10506.25409375
transcript.pyannote[2143].speaker SPEAKER_11
transcript.pyannote[2143].start 10506.57471875
transcript.pyannote[2143].end 10559.17409375
transcript.pyannote[2144].speaker SPEAKER_06
transcript.pyannote[2144].start 10560.01784375
transcript.pyannote[2144].end 10581.41534375
transcript.pyannote[2145].speaker SPEAKER_11
transcript.pyannote[2145].start 10580.79096875
transcript.pyannote[2145].end 10581.24659375
transcript.pyannote[2146].speaker SPEAKER_11
transcript.pyannote[2146].start 10581.41534375
transcript.pyannote[2146].end 10608.33096875
transcript.pyannote[2147].speaker SPEAKER_11
transcript.pyannote[2147].start 10608.65159375
transcript.pyannote[2147].end 10618.97909375
transcript.pyannote[2148].speaker SPEAKER_11
transcript.pyannote[2148].start 10619.58659375
transcript.pyannote[2148].end 10638.89159375
transcript.pyannote[2149].speaker SPEAKER_06
transcript.pyannote[2149].start 10639.53284375
transcript.pyannote[2149].end 10658.82096875
transcript.pyannote[2150].speaker SPEAKER_06
transcript.pyannote[2150].start 10658.92221875
transcript.pyannote[2150].end 10661.47034375
transcript.pyannote[2151].speaker SPEAKER_11
transcript.pyannote[2151].start 10661.62221875
transcript.pyannote[2151].end 10667.02221875
transcript.pyannote[2152].speaker SPEAKER_11
transcript.pyannote[2152].start 10667.08971875
transcript.pyannote[2152].end 10670.04284375
transcript.pyannote[2153].speaker SPEAKER_11
transcript.pyannote[2153].start 10670.39721875
transcript.pyannote[2153].end 10697.53221875
transcript.pyannote[2154].speaker SPEAKER_06
transcript.pyannote[2154].start 10698.96659375
transcript.pyannote[2154].end 10707.35346875
transcript.pyannote[2155].speaker SPEAKER_06
transcript.pyannote[2155].start 10707.38721875
transcript.pyannote[2155].end 10707.43784375
transcript.pyannote[2156].speaker SPEAKER_06
transcript.pyannote[2156].start 10707.67409375
transcript.pyannote[2156].end 10721.29221875
transcript.pyannote[2157].speaker SPEAKER_11
transcript.pyannote[2157].start 10721.62971875
transcript.pyannote[2157].end 10728.49784375
transcript.pyannote[2158].speaker SPEAKER_06
transcript.pyannote[2158].start 10726.42221875
transcript.pyannote[2158].end 10726.96221875
transcript.pyannote[2159].speaker SPEAKER_18
transcript.pyannote[2159].start 10726.96221875
transcript.pyannote[2159].end 10729.62846875
transcript.pyannote[2160].speaker SPEAKER_11
transcript.pyannote[2160].start 10728.76784375
transcript.pyannote[2160].end 10736.12534375
transcript.pyannote[2161].speaker SPEAKER_18
transcript.pyannote[2161].start 10730.48909375
transcript.pyannote[2161].end 10730.50596875
transcript.pyannote[2162].speaker SPEAKER_11
transcript.pyannote[2162].start 10736.24346875
transcript.pyannote[2162].end 10753.47284375
transcript.pyannote[2163].speaker SPEAKER_11
transcript.pyannote[2163].start 10753.82721875
transcript.pyannote[2163].end 10756.24034375
transcript.pyannote[2164].speaker SPEAKER_06
transcript.pyannote[2164].start 10758.04596875
transcript.pyannote[2164].end 10765.33596875
transcript.pyannote[2165].speaker SPEAKER_11
transcript.pyannote[2165].start 10760.00346875
transcript.pyannote[2165].end 10760.52659375
transcript.pyannote[2166].speaker SPEAKER_11
transcript.pyannote[2166].start 10765.13346875
transcript.pyannote[2166].end 10767.86721875
transcript.pyannote[2167].speaker SPEAKER_11
transcript.pyannote[2167].start 10768.32284375
transcript.pyannote[2167].end 10770.71909375
transcript.pyannote[2168].speaker SPEAKER_11
transcript.pyannote[2168].start 10770.83721875
transcript.pyannote[2168].end 10774.17846875
transcript.pyannote[2169].speaker SPEAKER_06
transcript.pyannote[2169].start 10773.97596875
transcript.pyannote[2169].end 10779.03846875
transcript.pyannote[2170].speaker SPEAKER_11
transcript.pyannote[2170].start 10778.05971875
transcript.pyannote[2170].end 10782.81846875
transcript.pyannote[2171].speaker SPEAKER_11
transcript.pyannote[2171].start 10782.95346875
transcript.pyannote[2171].end 10783.00409375
transcript.pyannote[2172].speaker SPEAKER_06
transcript.pyannote[2172].start 10783.00409375
transcript.pyannote[2172].end 10783.20659375
transcript.pyannote[2173].speaker SPEAKER_11
transcript.pyannote[2173].start 10783.08846875
transcript.pyannote[2173].end 10789.63596875
transcript.pyannote[2174].speaker SPEAKER_06
transcript.pyannote[2174].start 10790.34471875
transcript.pyannote[2174].end 10792.63971875
transcript.pyannote[2175].speaker SPEAKER_11
transcript.pyannote[2175].start 10792.63971875
transcript.pyannote[2175].end 10794.10784375
transcript.pyannote[2176].speaker SPEAKER_21
transcript.pyannote[2176].start 10795.28909375
transcript.pyannote[2176].end 10804.45221875
transcript.pyannote[2177].speaker SPEAKER_11
transcript.pyannote[2177].start 10803.92909375
transcript.pyannote[2177].end 10840.05846875
transcript.pyannote[2178].speaker SPEAKER_11
transcript.pyannote[2178].start 10840.53096875
transcript.pyannote[2178].end 10842.08346875
transcript.pyannote[2179].speaker SPEAKER_11
transcript.pyannote[2179].start 10842.48846875
transcript.pyannote[2179].end 10878.33096875
transcript.pyannote[2180].speaker SPEAKER_11
transcript.pyannote[2180].start 10878.93846875
transcript.pyannote[2180].end 10879.69784375
transcript.pyannote[2181].speaker SPEAKER_11
transcript.pyannote[2181].start 10879.91721875
transcript.pyannote[2181].end 10913.78534375
transcript.pyannote[2182].speaker SPEAKER_06
transcript.pyannote[2182].start 10915.10159375
transcript.pyannote[2182].end 10920.55221875
transcript.pyannote[2183].speaker SPEAKER_11
transcript.pyannote[2183].start 10920.55221875
transcript.pyannote[2183].end 10920.70409375
transcript.pyannote[2184].speaker SPEAKER_06
transcript.pyannote[2184].start 10920.70409375
transcript.pyannote[2184].end 10923.21846875
transcript.pyannote[2185].speaker SPEAKER_11
transcript.pyannote[2185].start 10922.02034375
transcript.pyannote[2185].end 10922.79659375
transcript.pyannote[2186].speaker SPEAKER_11
transcript.pyannote[2186].start 10923.15096875
transcript.pyannote[2186].end 10936.19534375
transcript.pyannote[2187].speaker SPEAKER_06
transcript.pyannote[2187].start 10926.54284375
transcript.pyannote[2187].end 10926.88034375
transcript.pyannote[2188].speaker SPEAKER_06
transcript.pyannote[2188].start 10934.72721875
transcript.pyannote[2188].end 10941.93284375
transcript.pyannote[2189].speaker SPEAKER_22
transcript.pyannote[2189].start 10938.91221875
transcript.pyannote[2189].end 10940.66721875
transcript.pyannote[2190].speaker SPEAKER_22
transcript.pyannote[2190].start 10940.76846875
transcript.pyannote[2190].end 10946.08409375
transcript.pyannote[2191].speaker SPEAKER_07
transcript.pyannote[2191].start 10955.70284375
transcript.pyannote[2191].end 10959.43221875
transcript.pyannote[2192].speaker SPEAKER_01
transcript.pyannote[2192].start 10959.63471875
transcript.pyannote[2192].end 10961.27159375
transcript.pyannote[2193].speaker SPEAKER_07
transcript.pyannote[2193].start 10965.33846875
transcript.pyannote[2193].end 10965.67596875
transcript.pyannote[2194].speaker SPEAKER_01
transcript.pyannote[2194].start 10965.87846875
transcript.pyannote[2194].end 10966.33409375
transcript.pyannote[2195].speaker SPEAKER_07
transcript.pyannote[2195].start 10966.09784375
transcript.pyannote[2195].end 10967.02596875
transcript.pyannote[2196].speaker SPEAKER_18
transcript.pyannote[2196].start 10966.33409375
transcript.pyannote[2196].end 10966.38471875
transcript.pyannote[2197].speaker SPEAKER_07
transcript.pyannote[2197].start 10967.46471875
transcript.pyannote[2197].end 10969.99596875
transcript.pyannote[2198].speaker SPEAKER_07
transcript.pyannote[2198].start 10970.19846875
transcript.pyannote[2198].end 10980.12096875
transcript.pyannote[2199].speaker SPEAKER_07
transcript.pyannote[2199].start 10980.18846875
transcript.pyannote[2199].end 11009.17971875
transcript.pyannote[2200].speaker SPEAKER_07
transcript.pyannote[2200].start 11009.33159375
transcript.pyannote[2200].end 11014.68096875
transcript.pyannote[2201].speaker SPEAKER_24
transcript.pyannote[2201].start 11016.36846875
transcript.pyannote[2201].end 11016.67221875
transcript.pyannote[2202].speaker SPEAKER_24
transcript.pyannote[2202].start 11016.95909375
transcript.pyannote[2202].end 11018.00534375
transcript.pyannote[2203].speaker SPEAKER_24
transcript.pyannote[2203].start 11018.32596875
transcript.pyannote[2203].end 11025.22784375
transcript.pyannote[2204].speaker SPEAKER_24
transcript.pyannote[2204].start 11025.61596875
transcript.pyannote[2204].end 11030.02034375
transcript.pyannote[2205].speaker SPEAKER_24
transcript.pyannote[2205].start 11030.25659375
transcript.pyannote[2205].end 11035.42034375
transcript.pyannote[2206].speaker SPEAKER_07
transcript.pyannote[2206].start 11035.70721875
transcript.pyannote[2206].end 11043.50346875
transcript.pyannote[2207].speaker SPEAKER_07
transcript.pyannote[2207].start 11043.97596875
transcript.pyannote[2207].end 11047.80659375
transcript.pyannote[2208].speaker SPEAKER_24
transcript.pyannote[2208].start 11047.92471875
transcript.pyannote[2208].end 11054.87721875
transcript.pyannote[2209].speaker SPEAKER_07
transcript.pyannote[2209].start 11055.28221875
transcript.pyannote[2209].end 11071.12784375
transcript.pyannote[2210].speaker SPEAKER_07
transcript.pyannote[2210].start 11071.60034375
transcript.pyannote[2210].end 11073.69284375
transcript.pyannote[2211].speaker SPEAKER_24
transcript.pyannote[2211].start 11073.89534375
transcript.pyannote[2211].end 11076.61221875
transcript.pyannote[2212].speaker SPEAKER_07
transcript.pyannote[2212].start 11075.70096875
transcript.pyannote[2212].end 11081.01659375
transcript.pyannote[2213].speaker SPEAKER_24
transcript.pyannote[2213].start 11081.69159375
transcript.pyannote[2213].end 11081.70846875
transcript.pyannote[2214].speaker SPEAKER_07
transcript.pyannote[2214].start 11081.70846875
transcript.pyannote[2214].end 11081.97846875
transcript.pyannote[2215].speaker SPEAKER_24
transcript.pyannote[2215].start 11081.72534375
transcript.pyannote[2215].end 11082.01221875
transcript.pyannote[2216].speaker SPEAKER_01
transcript.pyannote[2216].start 11081.97846875
transcript.pyannote[2216].end 11082.55221875
transcript.pyannote[2217].speaker SPEAKER_07
transcript.pyannote[2217].start 11083.58159375
transcript.pyannote[2217].end 11085.48846875
transcript.pyannote[2218].speaker SPEAKER_01
transcript.pyannote[2218].start 11085.82596875
transcript.pyannote[2218].end 11085.84284375
transcript.pyannote[2219].speaker SPEAKER_03
transcript.pyannote[2219].start 11085.84284375
transcript.pyannote[2219].end 11086.73721875
transcript.pyannote[2220].speaker SPEAKER_07
transcript.pyannote[2220].start 11086.43346875
transcript.pyannote[2220].end 11087.09159375
transcript.pyannote[2221].speaker SPEAKER_03
transcript.pyannote[2221].start 11087.34471875
transcript.pyannote[2221].end 11088.03659375
transcript.pyannote[2222].speaker SPEAKER_07
transcript.pyannote[2222].start 11088.72846875
transcript.pyannote[2222].end 11089.11659375
transcript.pyannote[2223].speaker SPEAKER_07
transcript.pyannote[2223].start 11090.38221875
transcript.pyannote[2223].end 11090.58471875
transcript.pyannote[2224].speaker SPEAKER_07
transcript.pyannote[2224].start 11090.61846875
transcript.pyannote[2224].end 11093.11596875
transcript.pyannote[2225].speaker SPEAKER_07
transcript.pyannote[2225].start 11093.84159375
transcript.pyannote[2225].end 11098.04346875
transcript.pyannote[2226].speaker SPEAKER_07
transcript.pyannote[2226].start 11098.51596875
transcript.pyannote[2226].end 11101.09784375
transcript.pyannote[2227].speaker SPEAKER_07
transcript.pyannote[2227].start 11101.31721875
transcript.pyannote[2227].end 11102.02596875
transcript.pyannote[2228].speaker SPEAKER_07
transcript.pyannote[2228].start 11102.17784375
transcript.pyannote[2228].end 11103.51096875
transcript.pyannote[2229].speaker SPEAKER_07
transcript.pyannote[2229].start 11104.28721875
transcript.pyannote[2229].end 11108.64096875
transcript.pyannote[2230].speaker SPEAKER_07
transcript.pyannote[2230].start 11108.86034375
transcript.pyannote[2230].end 11110.98659375
transcript.pyannote[2231].speaker SPEAKER_07
transcript.pyannote[2231].start 11111.61096875
transcript.pyannote[2231].end 11112.28596875
transcript.pyannote[2232].speaker SPEAKER_07
transcript.pyannote[2232].start 11113.04534375
transcript.pyannote[2232].end 11115.55971875
transcript.pyannote[2233].speaker SPEAKER_07
transcript.pyannote[2233].start 11115.67784375
transcript.pyannote[2233].end 11121.85409375
transcript.pyannote[2234].speaker SPEAKER_07
transcript.pyannote[2234].start 11122.46159375
transcript.pyannote[2234].end 11144.39909375
transcript.pyannote[2235].speaker SPEAKER_07
transcript.pyannote[2235].start 11144.93909375
transcript.pyannote[2235].end 11145.46221875
transcript.pyannote[2236].speaker SPEAKER_07
transcript.pyannote[2236].start 11145.83346875
transcript.pyannote[2236].end 11146.39034375
transcript.pyannote[2237].speaker SPEAKER_07
transcript.pyannote[2237].start 11147.43659375
transcript.pyannote[2237].end 11155.11471875
transcript.pyannote[2238].speaker SPEAKER_07
transcript.pyannote[2238].start 11155.48596875
transcript.pyannote[2238].end 11165.57721875
transcript.pyannote[2239].speaker SPEAKER_07
transcript.pyannote[2239].start 11165.76284375
transcript.pyannote[2239].end 11167.53471875
transcript.pyannote[2240].speaker SPEAKER_07
transcript.pyannote[2240].start 11167.92284375
transcript.pyannote[2240].end 11171.02784375
transcript.pyannote[2241].speaker SPEAKER_07
transcript.pyannote[2241].start 11171.24721875
transcript.pyannote[2241].end 11172.39471875
transcript.pyannote[2242].speaker SPEAKER_07
transcript.pyannote[2242].start 11173.15409375
transcript.pyannote[2242].end 11177.38971875
transcript.pyannote[2243].speaker SPEAKER_06
transcript.pyannote[2243].start 11179.92096875
transcript.pyannote[2243].end 11189.94471875
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 11189.45534375
transcript.pyannote[2244].end 11190.60284375
transcript.pyannote[2245].speaker SPEAKER_06
transcript.pyannote[2245].start 11190.60284375
transcript.pyannote[2245].end 11191.02471875
transcript.pyannote[2246].speaker SPEAKER_07
transcript.pyannote[2246].start 11191.17659375
transcript.pyannote[2246].end 11194.23096875
transcript.pyannote[2247].speaker SPEAKER_06
transcript.pyannote[2247].start 11194.19721875
transcript.pyannote[2247].end 11200.33971875
transcript.pyannote[2248].speaker SPEAKER_07
transcript.pyannote[2248].start 11199.29346875
transcript.pyannote[2248].end 11208.76034375
transcript.pyannote[2249].speaker SPEAKER_06
transcript.pyannote[2249].start 11200.72784375
transcript.pyannote[2249].end 11202.33096875
transcript.pyannote[2250].speaker SPEAKER_06
transcript.pyannote[2250].start 11202.82034375
transcript.pyannote[2250].end 11203.29284375
transcript.pyannote[2251].speaker SPEAKER_07
transcript.pyannote[2251].start 11209.18221875
transcript.pyannote[2251].end 11210.26221875
transcript.pyannote[2252].speaker SPEAKER_06
transcript.pyannote[2252].start 11210.97096875
transcript.pyannote[2252].end 11233.54971875
transcript.pyannote[2253].speaker SPEAKER_07
transcript.pyannote[2253].start 11231.55846875
transcript.pyannote[2253].end 11234.61284375
transcript.pyannote[2254].speaker SPEAKER_06
transcript.pyannote[2254].start 11233.80284375
transcript.pyannote[2254].end 11234.56221875
transcript.pyannote[2255].speaker SPEAKER_07
transcript.pyannote[2255].start 11234.83221875
transcript.pyannote[2255].end 11235.94596875
transcript.pyannote[2256].speaker SPEAKER_07
transcript.pyannote[2256].start 11236.40159375
transcript.pyannote[2256].end 11258.96346875
transcript.pyannote[2257].speaker SPEAKER_00
transcript.pyannote[2257].start 11248.97346875
transcript.pyannote[2257].end 11249.00721875
transcript.pyannote[2258].speaker SPEAKER_18
transcript.pyannote[2258].start 11249.00721875
transcript.pyannote[2258].end 11249.02409375
transcript.pyannote[2259].speaker SPEAKER_16
transcript.pyannote[2259].start 11249.02409375
transcript.pyannote[2259].end 11249.39534375
transcript.pyannote[2260].speaker SPEAKER_18
transcript.pyannote[2260].start 11249.39534375
transcript.pyannote[2260].end 11249.44596875
transcript.pyannote[2261].speaker SPEAKER_07
transcript.pyannote[2261].start 11259.50346875
transcript.pyannote[2261].end 11261.00534375
transcript.pyannote[2262].speaker SPEAKER_07
transcript.pyannote[2262].start 11261.42721875
transcript.pyannote[2262].end 11272.42971875
transcript.pyannote[2263].speaker SPEAKER_07
transcript.pyannote[2263].start 11273.22284375
transcript.pyannote[2263].end 11282.36909375
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 11282.94284375
transcript.pyannote[2264].end 11283.75284375
transcript.pyannote[2265].speaker SPEAKER_07
transcript.pyannote[2265].start 11284.20846875
transcript.pyannote[2265].end 11295.64971875
transcript.pyannote[2266].speaker SPEAKER_07
transcript.pyannote[2266].start 11296.02096875
transcript.pyannote[2266].end 11299.76721875
transcript.pyannote[2267].speaker SPEAKER_07
transcript.pyannote[2267].start 11299.96971875
transcript.pyannote[2267].end 11301.58971875
transcript.pyannote[2268].speaker SPEAKER_07
transcript.pyannote[2268].start 11302.02846875
transcript.pyannote[2268].end 11303.90159375
transcript.pyannote[2269].speaker SPEAKER_07
transcript.pyannote[2269].start 11304.20534375
transcript.pyannote[2269].end 11307.59721875
transcript.pyannote[2270].speaker SPEAKER_07
transcript.pyannote[2270].start 11308.01909375
transcript.pyannote[2270].end 11316.49034375
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 11316.55784375
transcript.pyannote[2271].end 11319.59534375
transcript.pyannote[2272].speaker SPEAKER_07
transcript.pyannote[2272].start 11319.69659375
transcript.pyannote[2272].end 11325.95721875
transcript.pyannote[2273].speaker SPEAKER_06
transcript.pyannote[2273].start 11326.80096875
transcript.pyannote[2273].end 11338.34346875
transcript.pyannote[2274].speaker SPEAKER_07
transcript.pyannote[2274].start 11332.20096875
transcript.pyannote[2274].end 11332.70721875
transcript.pyannote[2275].speaker SPEAKER_07
transcript.pyannote[2275].start 11333.14596875
transcript.pyannote[2275].end 11333.90534375
transcript.pyannote[2276].speaker SPEAKER_07
transcript.pyannote[2276].start 11337.12846875
transcript.pyannote[2276].end 11344.31721875
transcript.pyannote[2277].speaker SPEAKER_07
transcript.pyannote[2277].start 11344.67159375
transcript.pyannote[2277].end 11389.66034375
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 11353.14284375
transcript.pyannote[2278].end 11354.12159375
transcript.pyannote[2279].speaker SPEAKER_07
transcript.pyannote[2279].start 11389.76159375
transcript.pyannote[2279].end 11393.18721875
transcript.pyannote[2280].speaker SPEAKER_03
transcript.pyannote[2280].start 11393.76096875
transcript.pyannote[2280].end 11394.52034375
transcript.pyannote[2281].speaker SPEAKER_07
transcript.pyannote[2281].start 11394.95909375
transcript.pyannote[2281].end 11396.27534375
transcript.pyannote[2282].speaker SPEAKER_03
transcript.pyannote[2282].start 11396.32596875
transcript.pyannote[2282].end 11397.00096875
transcript.pyannote[2283].speaker SPEAKER_07
transcript.pyannote[2283].start 11397.00096875
transcript.pyannote[2283].end 11402.55284375
transcript.pyannote[2284].speaker SPEAKER_07
transcript.pyannote[2284].start 11403.34596875
transcript.pyannote[2284].end 11406.23159375
transcript.pyannote[2285].speaker SPEAKER_07
transcript.pyannote[2285].start 11406.58596875
transcript.pyannote[2285].end 11410.12971875
transcript.pyannote[2286].speaker SPEAKER_07
transcript.pyannote[2286].start 11410.50096875
transcript.pyannote[2286].end 11411.91846875
transcript.pyannote[2287].speaker SPEAKER_06
transcript.pyannote[2287].start 11412.49221875
transcript.pyannote[2287].end 11418.02721875
transcript.pyannote[2288].speaker SPEAKER_07
transcript.pyannote[2288].start 11412.61034375
transcript.pyannote[2288].end 11412.74534375
transcript.pyannote[2289].speaker SPEAKER_06
transcript.pyannote[2289].start 11418.75284375
transcript.pyannote[2289].end 11420.96346875
transcript.pyannote[2290].speaker SPEAKER_06
transcript.pyannote[2290].start 11421.43596875
transcript.pyannote[2290].end 11434.36221875
transcript.pyannote[2291].speaker SPEAKER_07
transcript.pyannote[2291].start 11433.63659375
transcript.pyannote[2291].end 11435.10471875
transcript.pyannote[2292].speaker SPEAKER_06
transcript.pyannote[2292].start 11435.02034375
transcript.pyannote[2292].end 11435.42534375
transcript.pyannote[2293].speaker SPEAKER_07
transcript.pyannote[2293].start 11435.12159375
transcript.pyannote[2293].end 11437.21409375
transcript.pyannote[2294].speaker SPEAKER_06
transcript.pyannote[2294].start 11436.45471875
transcript.pyannote[2294].end 11437.97346875
transcript.pyannote[2295].speaker SPEAKER_07
transcript.pyannote[2295].start 11438.04096875
transcript.pyannote[2295].end 11440.84221875
transcript.pyannote[2296].speaker SPEAKER_07
transcript.pyannote[2296].start 11440.89284375
transcript.pyannote[2296].end 11441.77034375
transcript.pyannote[2297].speaker SPEAKER_07
transcript.pyannote[2297].start 11442.86721875
transcript.pyannote[2297].end 11444.36909375
transcript.pyannote[2298].speaker SPEAKER_07
transcript.pyannote[2298].start 11445.09471875
transcript.pyannote[2298].end 11447.10284375
transcript.pyannote[2299].speaker SPEAKER_06
transcript.pyannote[2299].start 11448.79034375
transcript.pyannote[2299].end 11453.97096875
transcript.pyannote[2300].speaker SPEAKER_07
transcript.pyannote[2300].start 11448.97596875
transcript.pyannote[2300].end 11449.85346875
transcript.pyannote[2301].speaker SPEAKER_06
transcript.pyannote[2301].start 11454.94971875
transcript.pyannote[2301].end 11458.10534375
transcript.pyannote[2302].speaker SPEAKER_07
transcript.pyannote[2302].start 11456.94096875
transcript.pyannote[2302].end 11457.97034375
transcript.pyannote[2303].speaker SPEAKER_07
transcript.pyannote[2303].start 11457.98721875
transcript.pyannote[2303].end 11464.97346875
transcript.pyannote[2304].speaker SPEAKER_06
transcript.pyannote[2304].start 11466.27284375
transcript.pyannote[2304].end 11470.64346875
transcript.pyannote[2305].speaker SPEAKER_07
transcript.pyannote[2305].start 11470.52534375
transcript.pyannote[2305].end 11471.90909375
transcript.pyannote[2306].speaker SPEAKER_06
transcript.pyannote[2306].start 11471.30159375
transcript.pyannote[2306].end 11472.26346875
transcript.pyannote[2307].speaker SPEAKER_07
transcript.pyannote[2307].start 11472.78659375
transcript.pyannote[2307].end 11476.60034375
transcript.pyannote[2308].speaker SPEAKER_06
transcript.pyannote[2308].start 11477.30909375
transcript.pyannote[2308].end 11483.56971875
transcript.pyannote[2309].speaker SPEAKER_07
transcript.pyannote[2309].start 11483.80596875
transcript.pyannote[2309].end 11487.77159375
transcript.pyannote[2310].speaker SPEAKER_06
transcript.pyannote[2310].start 11486.48909375
transcript.pyannote[2310].end 11486.67471875
transcript.pyannote[2311].speaker SPEAKER_06
transcript.pyannote[2311].start 11486.74221875
transcript.pyannote[2311].end 11486.79284375
transcript.pyannote[2312].speaker SPEAKER_07
transcript.pyannote[2312].start 11487.95721875
transcript.pyannote[2312].end 11505.49034375
transcript.pyannote[2313].speaker SPEAKER_06
transcript.pyannote[2313].start 11489.17221875
transcript.pyannote[2313].end 11489.61096875
transcript.pyannote[2314].speaker SPEAKER_06
transcript.pyannote[2314].start 11504.00534375
transcript.pyannote[2314].end 11504.30909375
transcript.pyannote[2315].speaker SPEAKER_06
transcript.pyannote[2315].start 11505.11909375
transcript.pyannote[2315].end 11512.07159375
transcript.pyannote[2316].speaker SPEAKER_22
transcript.pyannote[2316].start 11512.18971875
transcript.pyannote[2316].end 11512.25721875
transcript.pyannote[2317].speaker SPEAKER_07
transcript.pyannote[2317].start 11512.25721875
transcript.pyannote[2317].end 11513.42159375
transcript.pyannote[2318].speaker SPEAKER_22
transcript.pyannote[2318].start 11512.27409375
transcript.pyannote[2318].end 11512.35846875
transcript.pyannote[2319].speaker SPEAKER_22
transcript.pyannote[2319].start 11513.75909375
transcript.pyannote[2319].end 11517.87659375
transcript.pyannote[2320].speaker SPEAKER_10
transcript.pyannote[2320].start 11525.87534375
transcript.pyannote[2320].end 11527.51221875
transcript.pyannote[2321].speaker SPEAKER_10
transcript.pyannote[2321].start 11527.81596875
transcript.pyannote[2321].end 11528.91284375
transcript.pyannote[2322].speaker SPEAKER_01
transcript.pyannote[2322].start 11528.54159375
transcript.pyannote[2322].end 11529.55409375
transcript.pyannote[2323].speaker SPEAKER_01
transcript.pyannote[2323].start 11535.66284375
transcript.pyannote[2323].end 11535.96659375
transcript.pyannote[2324].speaker SPEAKER_06
transcript.pyannote[2324].start 11535.96659375
transcript.pyannote[2324].end 11536.16909375
transcript.pyannote[2325].speaker SPEAKER_01
transcript.pyannote[2325].start 11536.16909375
transcript.pyannote[2325].end 11536.18596875
transcript.pyannote[2326].speaker SPEAKER_06
transcript.pyannote[2326].start 11536.18596875
transcript.pyannote[2326].end 11536.21971875
transcript.pyannote[2327].speaker SPEAKER_10
transcript.pyannote[2327].start 11536.38846875
transcript.pyannote[2327].end 11543.89784375
transcript.pyannote[2328].speaker SPEAKER_10
transcript.pyannote[2328].start 11544.33659375
transcript.pyannote[2328].end 11547.71159375
transcript.pyannote[2329].speaker SPEAKER_10
transcript.pyannote[2329].start 11548.15034375
transcript.pyannote[2329].end 11554.02284375
transcript.pyannote[2330].speaker SPEAKER_10
transcript.pyannote[2330].start 11554.59659375
transcript.pyannote[2330].end 11562.88221875
transcript.pyannote[2331].speaker SPEAKER_10
transcript.pyannote[2331].start 11563.27034375
transcript.pyannote[2331].end 11566.99971875
transcript.pyannote[2332].speaker SPEAKER_10
transcript.pyannote[2332].start 11567.59034375
transcript.pyannote[2332].end 11573.91846875
transcript.pyannote[2333].speaker SPEAKER_10
transcript.pyannote[2333].start 11574.32346875
transcript.pyannote[2333].end 11574.88034375
transcript.pyannote[2334].speaker SPEAKER_10
transcript.pyannote[2334].start 11575.60596875
transcript.pyannote[2334].end 11583.08159375
transcript.pyannote[2335].speaker SPEAKER_10
transcript.pyannote[2335].start 11584.12784375
transcript.pyannote[2335].end 11586.38909375
transcript.pyannote[2336].speaker SPEAKER_10
transcript.pyannote[2336].start 11586.99659375
transcript.pyannote[2336].end 11587.84034375
transcript.pyannote[2337].speaker SPEAKER_10
transcript.pyannote[2337].start 11587.89096875
transcript.pyannote[2337].end 11589.12284375
transcript.pyannote[2338].speaker SPEAKER_06
transcript.pyannote[2338].start 11590.64159375
transcript.pyannote[2338].end 11599.65284375
transcript.pyannote[2339].speaker SPEAKER_10
transcript.pyannote[2339].start 11594.94471875
transcript.pyannote[2339].end 11595.80534375
transcript.pyannote[2340].speaker SPEAKER_10
transcript.pyannote[2340].start 11599.21409375
transcript.pyannote[2340].end 11604.05721875
transcript.pyannote[2341].speaker SPEAKER_10
transcript.pyannote[2341].start 11604.22596875
transcript.pyannote[2341].end 11606.33534375
transcript.pyannote[2342].speaker SPEAKER_06
transcript.pyannote[2342].start 11607.71909375
transcript.pyannote[2342].end 11610.79034375
transcript.pyannote[2343].speaker SPEAKER_10
transcript.pyannote[2343].start 11610.28409375
transcript.pyannote[2343].end 11614.38471875
transcript.pyannote[2344].speaker SPEAKER_21
transcript.pyannote[2344].start 11610.79034375
transcript.pyannote[2344].end 11610.89159375
transcript.pyannote[2345].speaker SPEAKER_06
transcript.pyannote[2345].start 11612.66346875
transcript.pyannote[2345].end 11612.69721875
transcript.pyannote[2346].speaker SPEAKER_21
transcript.pyannote[2346].start 11612.69721875
transcript.pyannote[2346].end 11613.16971875
transcript.pyannote[2347].speaker SPEAKER_21
transcript.pyannote[2347].start 11614.38471875
transcript.pyannote[2347].end 11619.97034375
transcript.pyannote[2348].speaker SPEAKER_10
transcript.pyannote[2348].start 11619.97034375
transcript.pyannote[2348].end 11621.21909375
transcript.pyannote[2349].speaker SPEAKER_21
transcript.pyannote[2349].start 11620.10534375
transcript.pyannote[2349].end 11620.35846875
transcript.pyannote[2350].speaker SPEAKER_21
transcript.pyannote[2350].start 11620.79721875
transcript.pyannote[2350].end 11627.31096875
transcript.pyannote[2351].speaker SPEAKER_21
transcript.pyannote[2351].start 11627.36159375
transcript.pyannote[2351].end 11630.44971875
transcript.pyannote[2352].speaker SPEAKER_10
transcript.pyannote[2352].start 11628.79596875
transcript.pyannote[2352].end 11635.00596875
transcript.pyannote[2353].speaker SPEAKER_10
transcript.pyannote[2353].start 11635.63034375
transcript.pyannote[2353].end 11635.64721875
transcript.pyannote[2354].speaker SPEAKER_06
transcript.pyannote[2354].start 11635.64721875
transcript.pyannote[2354].end 11637.94221875
transcript.pyannote[2355].speaker SPEAKER_06
transcript.pyannote[2355].start 11638.44846875
transcript.pyannote[2355].end 11645.16471875
transcript.pyannote[2356].speaker SPEAKER_10
transcript.pyannote[2356].start 11644.70909375
transcript.pyannote[2356].end 11648.40471875
transcript.pyannote[2357].speaker SPEAKER_06
transcript.pyannote[2357].start 11647.27409375
transcript.pyannote[2357].end 11650.37909375
transcript.pyannote[2358].speaker SPEAKER_10
transcript.pyannote[2358].start 11649.26534375
transcript.pyannote[2358].end 11656.38659375
transcript.pyannote[2359].speaker SPEAKER_06
transcript.pyannote[2359].start 11655.84659375
transcript.pyannote[2359].end 11657.68596875
transcript.pyannote[2360].speaker SPEAKER_10
transcript.pyannote[2360].start 11656.96034375
transcript.pyannote[2360].end 11664.99284375
transcript.pyannote[2361].speaker SPEAKER_06
transcript.pyannote[2361].start 11664.21659375
transcript.pyannote[2361].end 11665.97159375
transcript.pyannote[2362].speaker SPEAKER_10
transcript.pyannote[2362].start 11665.87034375
transcript.pyannote[2362].end 11693.42721875
transcript.pyannote[2363].speaker SPEAKER_10
transcript.pyannote[2363].start 11693.76471875
transcript.pyannote[2363].end 11699.43471875
transcript.pyannote[2364].speaker SPEAKER_10
transcript.pyannote[2364].start 11699.99159375
transcript.pyannote[2364].end 11701.52721875
transcript.pyannote[2365].speaker SPEAKER_10
transcript.pyannote[2365].start 11702.74221875
transcript.pyannote[2365].end 11704.05846875
transcript.pyannote[2366].speaker SPEAKER_06
transcript.pyannote[2366].start 11702.77596875
transcript.pyannote[2366].end 11705.77971875
transcript.pyannote[2367].speaker SPEAKER_10
transcript.pyannote[2367].start 11704.76721875
transcript.pyannote[2367].end 11720.02221875
transcript.pyannote[2368].speaker SPEAKER_10
transcript.pyannote[2368].start 11721.27096875
transcript.pyannote[2368].end 11721.54096875
transcript.pyannote[2369].speaker SPEAKER_06
transcript.pyannote[2369].start 11721.54096875
transcript.pyannote[2369].end 11729.72534375
transcript.pyannote[2370].speaker SPEAKER_10
transcript.pyannote[2370].start 11721.57471875
transcript.pyannote[2370].end 11721.76034375
transcript.pyannote[2371].speaker SPEAKER_10
transcript.pyannote[2371].start 11726.28284375
transcript.pyannote[2371].end 11727.02534375
transcript.pyannote[2372].speaker SPEAKER_15
transcript.pyannote[2372].start 11727.02534375
transcript.pyannote[2372].end 11727.44721875
transcript.pyannote[2373].speaker SPEAKER_15
transcript.pyannote[2373].start 11727.93659375
transcript.pyannote[2373].end 11728.00409375
transcript.pyannote[2374].speaker SPEAKER_10
transcript.pyannote[2374].start 11728.00409375
transcript.pyannote[2374].end 11728.96596875
transcript.pyannote[2375].speaker SPEAKER_15
transcript.pyannote[2375].start 11728.96596875
transcript.pyannote[2375].end 11729.25284375
transcript.pyannote[2376].speaker SPEAKER_10
transcript.pyannote[2376].start 11729.25284375
transcript.pyannote[2376].end 11729.33721875
transcript.pyannote[2377].speaker SPEAKER_10
transcript.pyannote[2377].start 11729.50596875
transcript.pyannote[2377].end 11729.60721875
transcript.pyannote[2378].speaker SPEAKER_15
transcript.pyannote[2378].start 11729.60721875
transcript.pyannote[2378].end 11730.90659375
transcript.pyannote[2379].speaker SPEAKER_15
transcript.pyannote[2379].start 11732.57721875
transcript.pyannote[2379].end 11740.15409375
transcript.pyannote[2380].speaker SPEAKER_10
transcript.pyannote[2380].start 11739.56346875
transcript.pyannote[2380].end 11754.44721875
transcript.pyannote[2381].speaker SPEAKER_15
transcript.pyannote[2381].start 11741.03159375
transcript.pyannote[2381].end 11741.50409375
transcript.pyannote[2382].speaker SPEAKER_15
transcript.pyannote[2382].start 11744.84534375
transcript.pyannote[2382].end 11746.07721875
transcript.pyannote[2383].speaker SPEAKER_18
transcript.pyannote[2383].start 11746.07721875
transcript.pyannote[2383].end 11746.12784375
transcript.pyannote[2384].speaker SPEAKER_21
transcript.pyannote[2384].start 11750.56596875
transcript.pyannote[2384].end 11750.65034375
transcript.pyannote[2385].speaker SPEAKER_18
transcript.pyannote[2385].start 11750.65034375
transcript.pyannote[2385].end 11750.80221875
transcript.pyannote[2386].speaker SPEAKER_21
transcript.pyannote[2386].start 11750.80221875
transcript.pyannote[2386].end 11750.85284375
transcript.pyannote[2387].speaker SPEAKER_18
transcript.pyannote[2387].start 11750.85284375
transcript.pyannote[2387].end 11750.92034375
transcript.pyannote[2388].speaker SPEAKER_21
transcript.pyannote[2388].start 11750.92034375
transcript.pyannote[2388].end 11750.93721875
transcript.pyannote[2389].speaker SPEAKER_10
transcript.pyannote[2389].start 11755.03784375
transcript.pyannote[2389].end 11763.61034375
transcript.pyannote[2390].speaker SPEAKER_21
transcript.pyannote[2390].start 11763.61034375
transcript.pyannote[2390].end 11770.84971875
transcript.pyannote[2391].speaker SPEAKER_10
transcript.pyannote[2391].start 11764.50471875
transcript.pyannote[2391].end 11765.04471875
transcript.pyannote[2392].speaker SPEAKER_10
transcript.pyannote[2392].start 11770.39409375
transcript.pyannote[2392].end 11784.88971875
transcript.pyannote[2393].speaker SPEAKER_21
transcript.pyannote[2393].start 11786.08784375
transcript.pyannote[2393].end 11790.66096875
transcript.pyannote[2394].speaker SPEAKER_10
transcript.pyannote[2394].start 11790.34034375
transcript.pyannote[2394].end 11801.03909375
transcript.pyannote[2395].speaker SPEAKER_10
transcript.pyannote[2395].start 11801.24159375
transcript.pyannote[2395].end 11802.37221875
transcript.pyannote[2396].speaker SPEAKER_10
transcript.pyannote[2396].start 11802.57471875
transcript.pyannote[2396].end 11803.53659375
transcript.pyannote[2397].speaker SPEAKER_10
transcript.pyannote[2397].start 11804.19471875
transcript.pyannote[2397].end 11809.93221875
transcript.pyannote[2398].speaker SPEAKER_10
transcript.pyannote[2398].start 11810.60721875
transcript.pyannote[2398].end 11835.61596875
transcript.pyannote[2399].speaker SPEAKER_10
transcript.pyannote[2399].start 11836.17284375
transcript.pyannote[2399].end 11838.73784375
transcript.pyannote[2400].speaker SPEAKER_10
transcript.pyannote[2400].start 11839.21034375
transcript.pyannote[2400].end 11840.83034375
transcript.pyannote[2401].speaker SPEAKER_10
transcript.pyannote[2401].start 11841.30284375
transcript.pyannote[2401].end 11847.22596875
transcript.pyannote[2402].speaker SPEAKER_06
transcript.pyannote[2402].start 11848.39034375
transcript.pyannote[2402].end 11851.10721875
transcript.pyannote[2403].speaker SPEAKER_10
transcript.pyannote[2403].start 11850.41534375
transcript.pyannote[2403].end 11850.58409375
transcript.pyannote[2404].speaker SPEAKER_10
transcript.pyannote[2404].start 11850.63471875
transcript.pyannote[2404].end 11881.95471875
transcript.pyannote[2405].speaker SPEAKER_10
transcript.pyannote[2405].start 11882.37659375
transcript.pyannote[2405].end 11883.94596875
transcript.pyannote[2406].speaker SPEAKER_10
transcript.pyannote[2406].start 11884.33409375
transcript.pyannote[2406].end 11884.82346875
transcript.pyannote[2407].speaker SPEAKER_10
transcript.pyannote[2407].start 11885.16096875
transcript.pyannote[2407].end 11885.85284375
transcript.pyannote[2408].speaker SPEAKER_10
transcript.pyannote[2408].start 11886.54471875
transcript.pyannote[2408].end 11888.87346875
transcript.pyannote[2409].speaker SPEAKER_06
transcript.pyannote[2409].start 11886.94971875
transcript.pyannote[2409].end 11887.54034375
transcript.pyannote[2410].speaker SPEAKER_06
transcript.pyannote[2410].start 11889.00846875
transcript.pyannote[2410].end 11895.47159375
transcript.pyannote[2411].speaker SPEAKER_06
transcript.pyannote[2411].start 11895.79221875
transcript.pyannote[2411].end 11896.78784375
transcript.pyannote[2412].speaker SPEAKER_06
transcript.pyannote[2412].start 11897.10846875
transcript.pyannote[2412].end 11899.58909375
transcript.pyannote[2413].speaker SPEAKER_10
transcript.pyannote[2413].start 11898.28971875
transcript.pyannote[2413].end 11904.53346875
transcript.pyannote[2414].speaker SPEAKER_10
transcript.pyannote[2414].start 11905.88346875
transcript.pyannote[2414].end 11909.88284375
transcript.pyannote[2415].speaker SPEAKER_06
transcript.pyannote[2415].start 11909.07284375
transcript.pyannote[2415].end 11909.44409375
transcript.pyannote[2416].speaker SPEAKER_10
transcript.pyannote[2416].start 11910.54096875
transcript.pyannote[2416].end 11910.55784375
transcript.pyannote[2417].speaker SPEAKER_06
transcript.pyannote[2417].start 11910.55784375
transcript.pyannote[2417].end 11910.82784375
transcript.pyannote[2418].speaker SPEAKER_10
transcript.pyannote[2418].start 11910.82784375
transcript.pyannote[2418].end 11911.51971875
transcript.pyannote[2419].speaker SPEAKER_06
transcript.pyannote[2419].start 11911.51971875
transcript.pyannote[2419].end 11911.62096875
transcript.pyannote[2420].speaker SPEAKER_10
transcript.pyannote[2420].start 11911.62096875
transcript.pyannote[2420].end 11911.72221875
transcript.pyannote[2421].speaker SPEAKER_06
transcript.pyannote[2421].start 11911.72221875
transcript.pyannote[2421].end 11911.92471875
transcript.pyannote[2422].speaker SPEAKER_10
transcript.pyannote[2422].start 11911.92471875
transcript.pyannote[2422].end 11911.97534375
transcript.pyannote[2423].speaker SPEAKER_06
transcript.pyannote[2423].start 11911.97534375
transcript.pyannote[2423].end 11912.02596875
transcript.pyannote[2424].speaker SPEAKER_10
transcript.pyannote[2424].start 11912.02596875
transcript.pyannote[2424].end 11917.72971875
transcript.pyannote[2425].speaker SPEAKER_06
transcript.pyannote[2425].start 11915.62034375
transcript.pyannote[2425].end 11915.65409375
transcript.pyannote[2426].speaker SPEAKER_18
transcript.pyannote[2426].start 11915.65409375
transcript.pyannote[2426].end 11916.43034375
transcript.pyannote[2427].speaker SPEAKER_06
transcript.pyannote[2427].start 11917.72971875
transcript.pyannote[2427].end 11917.76346875
transcript.pyannote[2428].speaker SPEAKER_18
transcript.pyannote[2428].start 11917.76346875
transcript.pyannote[2428].end 11918.05034375
transcript.pyannote[2429].speaker SPEAKER_10
transcript.pyannote[2429].start 11918.05034375
transcript.pyannote[2429].end 11926.84221875
transcript.pyannote[2430].speaker SPEAKER_06
transcript.pyannote[2430].start 11926.84221875
transcript.pyannote[2430].end 11929.20471875
transcript.pyannote[2431].speaker SPEAKER_10
transcript.pyannote[2431].start 11929.20471875
transcript.pyannote[2431].end 11932.83284375
transcript.pyannote[2432].speaker SPEAKER_06
transcript.pyannote[2432].start 11929.25534375
transcript.pyannote[2432].end 11929.50846875
transcript.pyannote[2433].speaker SPEAKER_06
transcript.pyannote[2433].start 11931.73596875
transcript.pyannote[2433].end 11934.65534375
transcript.pyannote[2434].speaker SPEAKER_10
transcript.pyannote[2434].start 11934.65534375
transcript.pyannote[2434].end 11937.50721875
transcript.pyannote[2435].speaker SPEAKER_06
transcript.pyannote[2435].start 11935.61721875
transcript.pyannote[2435].end 11936.00534375
transcript.pyannote[2436].speaker SPEAKER_06
transcript.pyannote[2436].start 11937.69284375
transcript.pyannote[2436].end 11942.62034375
transcript.pyannote[2437].speaker SPEAKER_10
transcript.pyannote[2437].start 11940.94971875
transcript.pyannote[2437].end 11947.02471875
transcript.pyannote[2438].speaker SPEAKER_06
transcript.pyannote[2438].start 11947.02471875
transcript.pyannote[2438].end 11953.53846875
transcript.pyannote[2439].speaker SPEAKER_10
transcript.pyannote[2439].start 11947.05846875
transcript.pyannote[2439].end 11947.10909375
transcript.pyannote[2440].speaker SPEAKER_10
transcript.pyannote[2440].start 11952.15471875
transcript.pyannote[2440].end 11956.71096875
transcript.pyannote[2441].speaker SPEAKER_10
transcript.pyannote[2441].start 11957.09909375
transcript.pyannote[2441].end 11958.41534375
transcript.pyannote[2442].speaker SPEAKER_10
transcript.pyannote[2442].start 11959.57971875
transcript.pyannote[2442].end 11974.59846875
transcript.pyannote[2443].speaker SPEAKER_06
transcript.pyannote[2443].start 11960.79471875
transcript.pyannote[2443].end 11961.50346875
transcript.pyannote[2444].speaker SPEAKER_00
transcript.pyannote[2444].start 11961.50346875
transcript.pyannote[2444].end 11961.52034375
transcript.pyannote[2445].speaker SPEAKER_18
transcript.pyannote[2445].start 11964.65909375
transcript.pyannote[2445].end 11965.13159375
transcript.pyannote[2446].speaker SPEAKER_06
transcript.pyannote[2446].start 11974.59846875
transcript.pyannote[2446].end 11980.62284375
transcript.pyannote[2447].speaker SPEAKER_10
transcript.pyannote[2447].start 11975.34096875
transcript.pyannote[2447].end 11975.42534375
transcript.pyannote[2448].speaker SPEAKER_10
transcript.pyannote[2448].start 11979.47534375
transcript.pyannote[2448].end 11988.97596875
transcript.pyannote[2449].speaker SPEAKER_10
transcript.pyannote[2449].start 11989.41471875
transcript.pyannote[2449].end 11992.97534375
transcript.pyannote[2450].speaker SPEAKER_10
transcript.pyannote[2450].start 11993.22846875
transcript.pyannote[2450].end 11994.03846875
transcript.pyannote[2451].speaker SPEAKER_10
transcript.pyannote[2451].start 11994.96659375
transcript.pyannote[2451].end 11995.94534375
transcript.pyannote[2452].speaker SPEAKER_06
transcript.pyannote[2452].start 11995.27034375
transcript.pyannote[2452].end 11995.86096875
transcript.pyannote[2453].speaker SPEAKER_06
transcript.pyannote[2453].start 11995.94534375
transcript.pyannote[2453].end 11999.55659375
transcript.pyannote[2454].speaker SPEAKER_10
transcript.pyannote[2454].start 11998.98284375
transcript.pyannote[2454].end 12002.02034375
transcript.pyannote[2455].speaker SPEAKER_10
transcript.pyannote[2455].start 12002.61096875
transcript.pyannote[2455].end 12007.21784375
transcript.pyannote[2456].speaker SPEAKER_06
transcript.pyannote[2456].start 12006.12096875
transcript.pyannote[2456].end 12010.39034375
transcript.pyannote[2457].speaker SPEAKER_10
transcript.pyannote[2457].start 12009.73221875
transcript.pyannote[2457].end 12019.53659375
transcript.pyannote[2458].speaker SPEAKER_06
transcript.pyannote[2458].start 12018.69284375
transcript.pyannote[2458].end 12020.97096875
transcript.pyannote[2459].speaker SPEAKER_10
transcript.pyannote[2459].start 12020.71784375
transcript.pyannote[2459].end 12042.53721875
transcript.pyannote[2460].speaker SPEAKER_10
transcript.pyannote[2460].start 12043.16159375
transcript.pyannote[2460].end 12046.36784375
transcript.pyannote[2461].speaker SPEAKER_06
transcript.pyannote[2461].start 12045.08534375
transcript.pyannote[2461].end 12051.85221875
transcript.pyannote[2462].speaker SPEAKER_10
transcript.pyannote[2462].start 12051.85221875
transcript.pyannote[2462].end 12055.59846875
transcript.pyannote[2463].speaker SPEAKER_10
transcript.pyannote[2463].start 12055.80096875
transcript.pyannote[2463].end 12064.74471875
transcript.pyannote[2464].speaker SPEAKER_06
transcript.pyannote[2464].start 12064.89659375
transcript.pyannote[2464].end 12068.57534375
transcript.pyannote[2465].speaker SPEAKER_10
transcript.pyannote[2465].start 12068.17034375
transcript.pyannote[2465].end 12071.17409375
transcript.pyannote[2466].speaker SPEAKER_06
transcript.pyannote[2466].start 12070.48221875
transcript.pyannote[2466].end 12075.69659375
transcript.pyannote[2467].speaker SPEAKER_10
transcript.pyannote[2467].start 12074.09346875
transcript.pyannote[2467].end 12075.29159375
transcript.pyannote[2468].speaker SPEAKER_10
transcript.pyannote[2468].start 12075.69659375
transcript.pyannote[2468].end 12076.03409375
transcript.pyannote[2469].speaker SPEAKER_06
transcript.pyannote[2469].start 12076.03409375
transcript.pyannote[2469].end 12080.70846875
transcript.pyannote[2470].speaker SPEAKER_10
transcript.pyannote[2470].start 12077.11409375
transcript.pyannote[2470].end 12077.55284375
transcript.pyannote[2471].speaker SPEAKER_06
transcript.pyannote[2471].start 12081.92346875
transcript.pyannote[2471].end 12088.63971875
transcript.pyannote[2472].speaker SPEAKER_10
transcript.pyannote[2472].start 12085.12971875
transcript.pyannote[2472].end 12085.56846875
transcript.pyannote[2473].speaker SPEAKER_10
transcript.pyannote[2473].start 12086.98596875
transcript.pyannote[2473].end 12088.15034375
transcript.pyannote[2474].speaker SPEAKER_10
transcript.pyannote[2474].start 12088.60596875
transcript.pyannote[2474].end 12091.72784375
transcript.pyannote[2475].speaker SPEAKER_10
transcript.pyannote[2475].start 12091.96409375
transcript.pyannote[2475].end 12099.50721875
transcript.pyannote[2476].speaker SPEAKER_06
transcript.pyannote[2476].start 12098.81534375
transcript.pyannote[2476].end 12104.18159375
transcript.pyannote[2477].speaker SPEAKER_10
transcript.pyannote[2477].start 12099.60846875
transcript.pyannote[2477].end 12101.05971875
transcript.pyannote[2478].speaker SPEAKER_10
transcript.pyannote[2478].start 12103.64159375
transcript.pyannote[2478].end 12121.83284375
transcript.pyannote[2479].speaker SPEAKER_06
transcript.pyannote[2479].start 12110.17221875
transcript.pyannote[2479].end 12110.25659375
transcript.pyannote[2480].speaker SPEAKER_06
transcript.pyannote[2480].start 12120.26346875
transcript.pyannote[2480].end 12120.29721875
transcript.pyannote[2481].speaker SPEAKER_22
transcript.pyannote[2481].start 12120.29721875
transcript.pyannote[2481].end 12120.63471875
transcript.pyannote[2482].speaker SPEAKER_06
transcript.pyannote[2482].start 12120.63471875
transcript.pyannote[2482].end 12120.66846875
transcript.pyannote[2483].speaker SPEAKER_06
transcript.pyannote[2483].start 12121.73159375
transcript.pyannote[2483].end 12121.74846875
transcript.pyannote[2484].speaker SPEAKER_22
transcript.pyannote[2484].start 12121.74846875
transcript.pyannote[2484].end 12127.23284375
transcript.pyannote[2485].speaker SPEAKER_10
transcript.pyannote[2485].start 12122.50784375
transcript.pyannote[2485].end 12122.87909375
transcript.pyannote[2486].speaker SPEAKER_20
transcript.pyannote[2486].start 12135.48471875
transcript.pyannote[2486].end 12136.86846875
transcript.pyannote[2487].speaker SPEAKER_20
transcript.pyannote[2487].start 12137.64471875
transcript.pyannote[2487].end 12139.43346875
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 12139.99034375
transcript.pyannote[2488].end 12140.41221875
transcript.pyannote[2489].speaker SPEAKER_20
transcript.pyannote[2489].start 12140.59784375
transcript.pyannote[2489].end 12141.13784375
transcript.pyannote[2490].speaker SPEAKER_22
transcript.pyannote[2490].start 12141.93096875
transcript.pyannote[2490].end 12142.60596875
transcript.pyannote[2491].speaker SPEAKER_20
transcript.pyannote[2491].start 12144.69846875
transcript.pyannote[2491].end 12145.71096875
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 12144.81659375
transcript.pyannote[2492].end 12145.59284375
transcript.pyannote[2493].speaker SPEAKER_18
transcript.pyannote[2493].start 12145.59284375
transcript.pyannote[2493].end 12145.69409375
transcript.pyannote[2494].speaker SPEAKER_22
transcript.pyannote[2494].start 12145.69409375
transcript.pyannote[2494].end 12146.04846875
transcript.pyannote[2495].speaker SPEAKER_18
transcript.pyannote[2495].start 12146.04846875
transcript.pyannote[2495].end 12146.06534375
transcript.pyannote[2496].speaker SPEAKER_20
transcript.pyannote[2496].start 12146.06534375
transcript.pyannote[2496].end 12178.85346875
transcript.pyannote[2497].speaker SPEAKER_20
transcript.pyannote[2497].start 12179.15721875
transcript.pyannote[2497].end 12184.28721875
transcript.pyannote[2498].speaker SPEAKER_20
transcript.pyannote[2498].start 12184.59096875
transcript.pyannote[2498].end 12188.28659375
transcript.pyannote[2499].speaker SPEAKER_20
transcript.pyannote[2499].start 12188.37096875
transcript.pyannote[2499].end 12193.29846875
transcript.pyannote[2500].speaker SPEAKER_06
transcript.pyannote[2500].start 12194.36159375
transcript.pyannote[2500].end 12201.11159375
transcript.pyannote[2501].speaker SPEAKER_20
transcript.pyannote[2501].start 12197.80409375
transcript.pyannote[2501].end 12197.93909375
transcript.pyannote[2502].speaker SPEAKER_20
transcript.pyannote[2502].start 12197.97284375
transcript.pyannote[2502].end 12198.02346875
transcript.pyannote[2503].speaker SPEAKER_20
transcript.pyannote[2503].start 12201.11159375
transcript.pyannote[2503].end 12208.31721875
transcript.pyannote[2504].speaker SPEAKER_06
transcript.pyannote[2504].start 12209.22846875
transcript.pyannote[2504].end 12209.63346875
transcript.pyannote[2505].speaker SPEAKER_06
transcript.pyannote[2505].start 12210.51096875
transcript.pyannote[2505].end 12213.10971875
transcript.pyannote[2506].speaker SPEAKER_20
transcript.pyannote[2506].start 12213.27846875
transcript.pyannote[2506].end 12219.50534375
transcript.pyannote[2507].speaker SPEAKER_06
transcript.pyannote[2507].start 12220.78784375
transcript.pyannote[2507].end 12224.16284375
transcript.pyannote[2508].speaker SPEAKER_20
transcript.pyannote[2508].start 12224.44971875
transcript.pyannote[2508].end 12231.79034375
transcript.pyannote[2509].speaker SPEAKER_20
transcript.pyannote[2509].start 12231.99284375
transcript.pyannote[2509].end 12239.08034375
transcript.pyannote[2510].speaker SPEAKER_20
transcript.pyannote[2510].start 12239.36721875
transcript.pyannote[2510].end 12243.34971875
transcript.pyannote[2511].speaker SPEAKER_20
transcript.pyannote[2511].start 12243.73784375
transcript.pyannote[2511].end 12256.59659375
transcript.pyannote[2512].speaker SPEAKER_20
transcript.pyannote[2512].start 12256.78221875
transcript.pyannote[2512].end 12258.46971875
transcript.pyannote[2513].speaker SPEAKER_20
transcript.pyannote[2513].start 12258.75659375
transcript.pyannote[2513].end 12261.87846875
transcript.pyannote[2514].speaker SPEAKER_20
transcript.pyannote[2514].start 12262.13159375
transcript.pyannote[2514].end 12262.67159375
transcript.pyannote[2515].speaker SPEAKER_20
transcript.pyannote[2515].start 12262.92471875
transcript.pyannote[2515].end 12264.44346875
transcript.pyannote[2516].speaker SPEAKER_20
transcript.pyannote[2516].start 12264.73034375
transcript.pyannote[2516].end 12266.19846875
transcript.pyannote[2517].speaker SPEAKER_06
transcript.pyannote[2517].start 12267.14346875
transcript.pyannote[2517].end 12272.50971875
transcript.pyannote[2518].speaker SPEAKER_20
transcript.pyannote[2518].start 12272.50971875
transcript.pyannote[2518].end 12275.34471875
transcript.pyannote[2519].speaker SPEAKER_06
transcript.pyannote[2519].start 12272.83034375
transcript.pyannote[2519].end 12272.88096875
transcript.pyannote[2520].speaker SPEAKER_06
transcript.pyannote[2520].start 12274.93971875
transcript.pyannote[2520].end 12275.22659375
transcript.pyannote[2521].speaker SPEAKER_06
transcript.pyannote[2521].start 12275.34471875
transcript.pyannote[2521].end 12275.44596875
transcript.pyannote[2522].speaker SPEAKER_20
transcript.pyannote[2522].start 12275.44596875
transcript.pyannote[2522].end 12289.30034375
transcript.pyannote[2523].speaker SPEAKER_20
transcript.pyannote[2523].start 12289.36784375
transcript.pyannote[2523].end 12294.34596875
transcript.pyannote[2524].speaker SPEAKER_20
transcript.pyannote[2524].start 12294.54846875
transcript.pyannote[2524].end 12302.81721875
transcript.pyannote[2525].speaker SPEAKER_20
transcript.pyannote[2525].start 12303.61034375
transcript.pyannote[2525].end 12306.39471875
transcript.pyannote[2526].speaker SPEAKER_06
transcript.pyannote[2526].start 12305.09534375
transcript.pyannote[2526].end 12309.78659375
transcript.pyannote[2527].speaker SPEAKER_18
transcript.pyannote[2527].start 12309.78659375
transcript.pyannote[2527].end 12310.12409375
transcript.pyannote[2528].speaker SPEAKER_06
transcript.pyannote[2528].start 12310.05659375
transcript.pyannote[2528].end 12319.75971875
transcript.pyannote[2529].speaker SPEAKER_06
transcript.pyannote[2529].start 12319.86096875
transcript.pyannote[2529].end 12319.87784375
transcript.pyannote[2530].speaker SPEAKER_20
transcript.pyannote[2530].start 12319.87784375
transcript.pyannote[2530].end 12335.04846875
transcript.pyannote[2531].speaker SPEAKER_20
transcript.pyannote[2531].start 12335.23409375
transcript.pyannote[2531].end 12338.77784375
transcript.pyannote[2532].speaker SPEAKER_06
transcript.pyannote[2532].start 12339.36846875
transcript.pyannote[2532].end 12341.34284375
transcript.pyannote[2533].speaker SPEAKER_20
transcript.pyannote[2533].start 12341.54534375
transcript.pyannote[2533].end 12346.03409375
transcript.pyannote[2534].speaker SPEAKER_20
transcript.pyannote[2534].start 12346.08471875
transcript.pyannote[2534].end 12355.83846875
transcript.pyannote[2535].speaker SPEAKER_20
transcript.pyannote[2535].start 12356.05784375
transcript.pyannote[2535].end 12365.74409375
transcript.pyannote[2536].speaker SPEAKER_20
transcript.pyannote[2536].start 12365.98034375
transcript.pyannote[2536].end 12370.31721875
transcript.pyannote[2537].speaker SPEAKER_06
transcript.pyannote[2537].start 12369.74346875
transcript.pyannote[2537].end 12374.16471875
transcript.pyannote[2538].speaker SPEAKER_20
transcript.pyannote[2538].start 12373.30409375
transcript.pyannote[2538].end 12375.70034375
transcript.pyannote[2539].speaker SPEAKER_20
transcript.pyannote[2539].start 12376.22346875
transcript.pyannote[2539].end 12378.23159375
transcript.pyannote[2540].speaker SPEAKER_20
transcript.pyannote[2540].start 12378.70409375
transcript.pyannote[2540].end 12400.86096875
transcript.pyannote[2541].speaker SPEAKER_06
transcript.pyannote[2541].start 12402.48096875
transcript.pyannote[2541].end 12406.71659375
transcript.pyannote[2542].speaker SPEAKER_20
transcript.pyannote[2542].start 12404.86034375
transcript.pyannote[2542].end 12405.41721875
transcript.pyannote[2543].speaker SPEAKER_20
transcript.pyannote[2543].start 12405.60284375
transcript.pyannote[2543].end 12405.61971875
transcript.pyannote[2544].speaker SPEAKER_06
transcript.pyannote[2544].start 12407.62784375
transcript.pyannote[2544].end 12408.21846875
transcript.pyannote[2545].speaker SPEAKER_06
transcript.pyannote[2545].start 12409.18034375
transcript.pyannote[2545].end 12413.61846875
transcript.pyannote[2546].speaker SPEAKER_20
transcript.pyannote[2546].start 12411.52596875
transcript.pyannote[2546].end 12411.77909375
transcript.pyannote[2547].speaker SPEAKER_20
transcript.pyannote[2547].start 12413.17971875
transcript.pyannote[2547].end 12414.25971875
transcript.pyannote[2548].speaker SPEAKER_06
transcript.pyannote[2548].start 12414.68159375
transcript.pyannote[2548].end 12416.33534375
transcript.pyannote[2549].speaker SPEAKER_20
transcript.pyannote[2549].start 12415.55909375
transcript.pyannote[2549].end 12425.49846875
transcript.pyannote[2550].speaker SPEAKER_20
transcript.pyannote[2550].start 12425.63346875
transcript.pyannote[2550].end 12429.85221875
transcript.pyannote[2551].speaker SPEAKER_06
transcript.pyannote[2551].start 12430.49346875
transcript.pyannote[2551].end 12440.09534375
transcript.pyannote[2552].speaker SPEAKER_20
transcript.pyannote[2552].start 12440.09534375
transcript.pyannote[2552].end 12460.37909375
transcript.pyannote[2553].speaker SPEAKER_20
transcript.pyannote[2553].start 12460.86846875
transcript.pyannote[2553].end 12461.94846875
transcript.pyannote[2554].speaker SPEAKER_06
transcript.pyannote[2554].start 12461.64471875
transcript.pyannote[2554].end 12468.42846875
transcript.pyannote[2555].speaker SPEAKER_20
transcript.pyannote[2555].start 12467.87159375
transcript.pyannote[2555].end 12485.32034375
transcript.pyannote[2556].speaker SPEAKER_20
transcript.pyannote[2556].start 12485.89409375
transcript.pyannote[2556].end 12486.88971875
transcript.pyannote[2557].speaker SPEAKER_20
transcript.pyannote[2557].start 12487.24409375
transcript.pyannote[2557].end 12492.23909375
transcript.pyannote[2558].speaker SPEAKER_06
transcript.pyannote[2558].start 12492.50909375
transcript.pyannote[2558].end 12497.38596875
transcript.pyannote[2559].speaker SPEAKER_20
transcript.pyannote[2559].start 12495.42846875
transcript.pyannote[2559].end 12495.73221875
transcript.pyannote[2560].speaker SPEAKER_20
transcript.pyannote[2560].start 12497.38596875
transcript.pyannote[2560].end 12504.77721875
transcript.pyannote[2561].speaker SPEAKER_20
transcript.pyannote[2561].start 12504.97971875
transcript.pyannote[2561].end 12515.64471875
transcript.pyannote[2562].speaker SPEAKER_20
transcript.pyannote[2562].start 12516.45471875
transcript.pyannote[2562].end 12519.86346875
transcript.pyannote[2563].speaker SPEAKER_20
transcript.pyannote[2563].start 12520.85909375
transcript.pyannote[2563].end 12524.72346875
transcript.pyannote[2564].speaker SPEAKER_20
transcript.pyannote[2564].start 12524.97659375
transcript.pyannote[2564].end 12526.10721875
transcript.pyannote[2565].speaker SPEAKER_06
transcript.pyannote[2565].start 12528.04784375
transcript.pyannote[2565].end 12539.50596875
transcript.pyannote[2566].speaker SPEAKER_20
transcript.pyannote[2566].start 12539.06721875
transcript.pyannote[2566].end 12552.95534375
transcript.pyannote[2567].speaker SPEAKER_20
transcript.pyannote[2567].start 12553.41096875
transcript.pyannote[2567].end 12555.25034375
transcript.pyannote[2568].speaker SPEAKER_20
transcript.pyannote[2568].start 12555.70596875
transcript.pyannote[2568].end 12557.61284375
transcript.pyannote[2569].speaker SPEAKER_20
transcript.pyannote[2569].start 12558.43971875
transcript.pyannote[2569].end 12561.37596875
transcript.pyannote[2570].speaker SPEAKER_06
transcript.pyannote[2570].start 12563.06346875
transcript.pyannote[2570].end 12567.83909375
transcript.pyannote[2571].speaker SPEAKER_15
transcript.pyannote[2571].start 12569.03721875
transcript.pyannote[2571].end 12569.34096875
transcript.pyannote[2572].speaker SPEAKER_15
transcript.pyannote[2572].start 12569.79659375
transcript.pyannote[2572].end 12593.69159375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 12579.55034375
transcript.pyannote[2573].end 12579.75284375
transcript.pyannote[2574].speaker SPEAKER_20
transcript.pyannote[2574].start 12592.08846875
transcript.pyannote[2574].end 12605.25096875
transcript.pyannote[2575].speaker SPEAKER_20
transcript.pyannote[2575].start 12605.58846875
transcript.pyannote[2575].end 12613.53659375
transcript.pyannote[2576].speaker SPEAKER_20
transcript.pyannote[2576].start 12613.84034375
transcript.pyannote[2576].end 12618.85221875
transcript.pyannote[2577].speaker SPEAKER_20
transcript.pyannote[2577].start 12619.15596875
transcript.pyannote[2577].end 12620.40471875
transcript.pyannote[2578].speaker SPEAKER_20
transcript.pyannote[2578].start 12620.64096875
transcript.pyannote[2578].end 12621.95721875
transcript.pyannote[2579].speaker SPEAKER_20
transcript.pyannote[2579].start 12622.51409375
transcript.pyannote[2579].end 12623.86409375
transcript.pyannote[2580].speaker SPEAKER_20
transcript.pyannote[2580].start 12623.94846875
transcript.pyannote[2580].end 12626.24346875
transcript.pyannote[2581].speaker SPEAKER_20
transcript.pyannote[2581].start 12626.53034375
transcript.pyannote[2581].end 12636.57096875
transcript.pyannote[2582].speaker SPEAKER_15
transcript.pyannote[2582].start 12638.00534375
transcript.pyannote[2582].end 12664.81971875
transcript.pyannote[2583].speaker SPEAKER_20
transcript.pyannote[2583].start 12657.52971875
transcript.pyannote[2583].end 12659.67284375
transcript.pyannote[2584].speaker SPEAKER_20
transcript.pyannote[2584].start 12659.85846875
transcript.pyannote[2584].end 12660.76971875
transcript.pyannote[2585].speaker SPEAKER_20
transcript.pyannote[2585].start 12661.49534375
transcript.pyannote[2585].end 12661.76534375
transcript.pyannote[2586].speaker SPEAKER_20
transcript.pyannote[2586].start 12664.26284375
transcript.pyannote[2586].end 12670.57409375
transcript.pyannote[2587].speaker SPEAKER_20
transcript.pyannote[2587].start 12672.32909375
transcript.pyannote[2587].end 12676.39596875
transcript.pyannote[2588].speaker SPEAKER_20
transcript.pyannote[2588].start 12676.61534375
transcript.pyannote[2588].end 12707.59784375
transcript.pyannote[2589].speaker SPEAKER_20
transcript.pyannote[2589].start 12707.80034375
transcript.pyannote[2589].end 12732.21846875
transcript.pyannote[2590].speaker SPEAKER_20
transcript.pyannote[2590].start 12732.45471875
transcript.pyannote[2590].end 12736.30221875
transcript.pyannote[2591].speaker SPEAKER_20
transcript.pyannote[2591].start 12736.48784375
transcript.pyannote[2591].end 12740.68971875
transcript.pyannote[2592].speaker SPEAKER_06
transcript.pyannote[2592].start 12741.14534375
transcript.pyannote[2592].end 12745.61721875
transcript.pyannote[2593].speaker SPEAKER_06
transcript.pyannote[2593].start 12746.02221875
transcript.pyannote[2593].end 12749.65034375
transcript.pyannote[2594].speaker SPEAKER_20
transcript.pyannote[2594].start 12749.65034375
transcript.pyannote[2594].end 12758.50971875
transcript.pyannote[2595].speaker SPEAKER_20
transcript.pyannote[2595].start 12758.83034375
transcript.pyannote[2595].end 12770.05221875
transcript.pyannote[2596].speaker SPEAKER_20
transcript.pyannote[2596].start 12770.30534375
transcript.pyannote[2596].end 12771.26721875
transcript.pyannote[2597].speaker SPEAKER_20
transcript.pyannote[2597].start 12771.45284375
transcript.pyannote[2597].end 12777.20721875
transcript.pyannote[2598].speaker SPEAKER_20
transcript.pyannote[2598].start 12777.56159375
transcript.pyannote[2598].end 12783.48471875
transcript.pyannote[2599].speaker SPEAKER_20
transcript.pyannote[2599].start 12783.70409375
transcript.pyannote[2599].end 12784.44659375
transcript.pyannote[2600].speaker SPEAKER_20
transcript.pyannote[2600].start 12784.61534375
transcript.pyannote[2600].end 12786.21846875
transcript.pyannote[2601].speaker SPEAKER_20
transcript.pyannote[2601].start 12786.52221875
transcript.pyannote[2601].end 12788.80034375
transcript.pyannote[2602].speaker SPEAKER_06
transcript.pyannote[2602].start 12789.55971875
transcript.pyannote[2602].end 12796.27596875
transcript.pyannote[2603].speaker SPEAKER_20
transcript.pyannote[2603].start 12796.10721875
transcript.pyannote[2603].end 12803.54909375
transcript.pyannote[2604].speaker SPEAKER_06
transcript.pyannote[2604].start 12803.54909375
transcript.pyannote[2604].end 12807.98721875
transcript.pyannote[2605].speaker SPEAKER_20
transcript.pyannote[2605].start 12808.10534375
transcript.pyannote[2605].end 12810.51846875
transcript.pyannote[2606].speaker SPEAKER_22
transcript.pyannote[2606].start 12810.78846875
transcript.pyannote[2606].end 12813.58971875
transcript.pyannote[2607].speaker SPEAKER_22
transcript.pyannote[2607].start 12814.26471875
transcript.pyannote[2607].end 12816.22221875
transcript.pyannote[2608].speaker SPEAKER_23
transcript.pyannote[2608].start 12827.93346875
transcript.pyannote[2608].end 12831.19034375
transcript.pyannote[2609].speaker SPEAKER_06
transcript.pyannote[2609].start 12834.31221875
transcript.pyannote[2609].end 12838.90221875
transcript.pyannote[2610].speaker SPEAKER_23
transcript.pyannote[2610].start 12837.82221875
transcript.pyannote[2610].end 12838.54784375
transcript.pyannote[2611].speaker SPEAKER_23
transcript.pyannote[2611].start 12838.90221875
transcript.pyannote[2611].end 12848.38596875
transcript.pyannote[2612].speaker SPEAKER_23
transcript.pyannote[2612].start 12848.97659375
transcript.pyannote[2612].end 12870.03659375
transcript.pyannote[2613].speaker SPEAKER_23
transcript.pyannote[2613].start 12870.79596875
transcript.pyannote[2613].end 12887.31659375
transcript.pyannote[2614].speaker SPEAKER_23
transcript.pyannote[2614].start 12888.21096875
transcript.pyannote[2614].end 12899.23034375
transcript.pyannote[2615].speaker SPEAKER_23
transcript.pyannote[2615].start 12900.79971875
transcript.pyannote[2615].end 12903.78659375
transcript.pyannote[2616].speaker SPEAKER_23
transcript.pyannote[2616].start 12904.14096875
transcript.pyannote[2616].end 12907.75221875
transcript.pyannote[2617].speaker SPEAKER_06
transcript.pyannote[2617].start 12909.42284375
transcript.pyannote[2617].end 12911.98784375
transcript.pyannote[2618].speaker SPEAKER_23
transcript.pyannote[2618].start 12911.75159375
transcript.pyannote[2618].end 12912.66284375
transcript.pyannote[2619].speaker SPEAKER_06
transcript.pyannote[2619].start 12912.40971875
transcript.pyannote[2619].end 12913.15221875
transcript.pyannote[2620].speaker SPEAKER_23
transcript.pyannote[2620].start 12913.00034375
transcript.pyannote[2620].end 12919.02471875
transcript.pyannote[2621].speaker SPEAKER_23
transcript.pyannote[2621].start 12919.37909375
transcript.pyannote[2621].end 12920.30721875
transcript.pyannote[2622].speaker SPEAKER_23
transcript.pyannote[2622].start 12921.10034375
transcript.pyannote[2622].end 12922.61909375
transcript.pyannote[2623].speaker SPEAKER_06
transcript.pyannote[2623].start 12923.54721875
transcript.pyannote[2623].end 12925.65659375
transcript.pyannote[2624].speaker SPEAKER_06
transcript.pyannote[2624].start 12925.85909375
transcript.pyannote[2624].end 12934.02659375
transcript.pyannote[2625].speaker SPEAKER_23
transcript.pyannote[2625].start 12934.02659375
transcript.pyannote[2625].end 12934.44846875
transcript.pyannote[2626].speaker SPEAKER_06
transcript.pyannote[2626].start 12934.44846875
transcript.pyannote[2626].end 12934.95471875
transcript.pyannote[2627].speaker SPEAKER_23
transcript.pyannote[2627].start 12935.41034375
transcript.pyannote[2627].end 12948.04971875
transcript.pyannote[2628].speaker SPEAKER_06
transcript.pyannote[2628].start 12935.42721875
transcript.pyannote[2628].end 12935.96721875
transcript.pyannote[2629].speaker SPEAKER_06
transcript.pyannote[2629].start 12938.41409375
transcript.pyannote[2629].end 12938.56596875
transcript.pyannote[2630].speaker SPEAKER_23
transcript.pyannote[2630].start 12948.33659375
transcript.pyannote[2630].end 12953.01096875
transcript.pyannote[2631].speaker SPEAKER_23
transcript.pyannote[2631].start 12953.70284375
transcript.pyannote[2631].end 12954.24284375
transcript.pyannote[2632].speaker SPEAKER_06
transcript.pyannote[2632].start 12953.75346875
transcript.pyannote[2632].end 12956.75721875
transcript.pyannote[2633].speaker SPEAKER_23
transcript.pyannote[2633].start 12955.49159375
transcript.pyannote[2633].end 12967.60784375
transcript.pyannote[2634].speaker SPEAKER_23
transcript.pyannote[2634].start 12967.91159375
transcript.pyannote[2634].end 12972.19784375
transcript.pyannote[2635].speaker SPEAKER_06
transcript.pyannote[2635].start 12973.15971875
transcript.pyannote[2635].end 12989.89971875
transcript.pyannote[2636].speaker SPEAKER_23
transcript.pyannote[2636].start 12990.00096875
transcript.pyannote[2636].end 12990.65909375
transcript.pyannote[2637].speaker SPEAKER_23
transcript.pyannote[2637].start 12990.76034375
transcript.pyannote[2637].end 12991.26659375
transcript.pyannote[2638].speaker SPEAKER_23
transcript.pyannote[2638].start 12991.50284375
transcript.pyannote[2638].end 13008.34409375
transcript.pyannote[2639].speaker SPEAKER_23
transcript.pyannote[2639].start 13008.71534375
transcript.pyannote[2639].end 13031.05784375
transcript.pyannote[2640].speaker SPEAKER_18
transcript.pyannote[2640].start 13011.43221875
transcript.pyannote[2640].end 13011.71909375
transcript.pyannote[2641].speaker SPEAKER_06
transcript.pyannote[2641].start 13031.27721875
transcript.pyannote[2641].end 13040.96346875
transcript.pyannote[2642].speaker SPEAKER_23
transcript.pyannote[2642].start 13040.96346875
transcript.pyannote[2642].end 13041.99284375
transcript.pyannote[2643].speaker SPEAKER_23
transcript.pyannote[2643].start 13042.98846875
transcript.pyannote[2643].end 13044.45659375
transcript.pyannote[2644].speaker SPEAKER_23
transcript.pyannote[2644].start 13044.76034375
transcript.pyannote[2644].end 13078.17284375
transcript.pyannote[2645].speaker SPEAKER_06
transcript.pyannote[2645].start 13078.57784375
transcript.pyannote[2645].end 13084.73721875
transcript.pyannote[2646].speaker SPEAKER_06
transcript.pyannote[2646].start 13084.99034375
transcript.pyannote[2646].end 13088.24721875
transcript.pyannote[2647].speaker SPEAKER_23
transcript.pyannote[2647].start 13085.80034375
transcript.pyannote[2647].end 13088.26409375
transcript.pyannote[2648].speaker SPEAKER_06
transcript.pyannote[2648].start 13088.26409375
transcript.pyannote[2648].end 13088.31471875
transcript.pyannote[2649].speaker SPEAKER_23
transcript.pyannote[2649].start 13088.31471875
transcript.pyannote[2649].end 13088.51721875
transcript.pyannote[2650].speaker SPEAKER_06
transcript.pyannote[2650].start 13088.51721875
transcript.pyannote[2650].end 13089.04034375
transcript.pyannote[2651].speaker SPEAKER_23
transcript.pyannote[2651].start 13089.04034375
transcript.pyannote[2651].end 13089.05721875
transcript.pyannote[2652].speaker SPEAKER_06
transcript.pyannote[2652].start 13091.06534375
transcript.pyannote[2652].end 13092.75284375
transcript.pyannote[2653].speaker SPEAKER_23
transcript.pyannote[2653].start 13093.30971875
transcript.pyannote[2653].end 13095.36846875
transcript.pyannote[2654].speaker SPEAKER_06
transcript.pyannote[2654].start 13095.36846875
transcript.pyannote[2654].end 13095.38534375
transcript.pyannote[2655].speaker SPEAKER_23
transcript.pyannote[2655].start 13095.38534375
transcript.pyannote[2655].end 13095.41909375
transcript.pyannote[2656].speaker SPEAKER_15
transcript.pyannote[2656].start 13096.07721875
transcript.pyannote[2656].end 13106.38784375
transcript.pyannote[2657].speaker SPEAKER_23
transcript.pyannote[2657].start 13105.51034375
transcript.pyannote[2657].end 13131.59909375
transcript.pyannote[2658].speaker SPEAKER_15
transcript.pyannote[2658].start 13106.72534375
transcript.pyannote[2658].end 13106.97846875
transcript.pyannote[2659].speaker SPEAKER_23
transcript.pyannote[2659].start 13131.76784375
transcript.pyannote[2659].end 13138.85534375
transcript.pyannote[2660].speaker SPEAKER_23
transcript.pyannote[2660].start 13139.12534375
transcript.pyannote[2660].end 13140.52596875
transcript.pyannote[2661].speaker SPEAKER_15
transcript.pyannote[2661].start 13141.11659375
transcript.pyannote[2661].end 13175.52471875
transcript.pyannote[2662].speaker SPEAKER_18
transcript.pyannote[2662].start 13153.72221875
transcript.pyannote[2662].end 13154.05971875
transcript.pyannote[2663].speaker SPEAKER_15
transcript.pyannote[2663].start 13175.71034375
transcript.pyannote[2663].end 13177.16159375
transcript.pyannote[2664].speaker SPEAKER_15
transcript.pyannote[2664].start 13177.58346875
transcript.pyannote[2664].end 13178.14034375
transcript.pyannote[2665].speaker SPEAKER_15
transcript.pyannote[2665].start 13178.29221875
transcript.pyannote[2665].end 13180.84034375
transcript.pyannote[2666].speaker SPEAKER_15
transcript.pyannote[2666].start 13180.99221875
transcript.pyannote[2666].end 13182.56159375
transcript.pyannote[2667].speaker SPEAKER_23
transcript.pyannote[2667].start 13182.08909375
transcript.pyannote[2667].end 13183.23659375
transcript.pyannote[2668].speaker SPEAKER_15
transcript.pyannote[2668].start 13184.16471875
transcript.pyannote[2668].end 13192.34909375
transcript.pyannote[2669].speaker SPEAKER_23
transcript.pyannote[2669].start 13192.65284375
transcript.pyannote[2669].end 13193.95221875
transcript.pyannote[2670].speaker SPEAKER_15
transcript.pyannote[2670].start 13195.33596875
transcript.pyannote[2670].end 13197.81659375
transcript.pyannote[2671].speaker SPEAKER_23
transcript.pyannote[2671].start 13198.01909375
transcript.pyannote[2671].end 13199.30159375
transcript.pyannote[2672].speaker SPEAKER_23
transcript.pyannote[2672].start 13200.12846875
transcript.pyannote[2672].end 13204.26284375
transcript.pyannote[2673].speaker SPEAKER_23
transcript.pyannote[2673].start 13204.71846875
transcript.pyannote[2673].end 13205.42721875
transcript.pyannote[2674].speaker SPEAKER_23
transcript.pyannote[2674].start 13205.68034375
transcript.pyannote[2674].end 13210.48971875
transcript.pyannote[2675].speaker SPEAKER_23
transcript.pyannote[2675].start 13211.09721875
transcript.pyannote[2675].end 13212.12659375
transcript.pyannote[2676].speaker SPEAKER_23
transcript.pyannote[2676].start 13212.29534375
transcript.pyannote[2676].end 13217.34096875
transcript.pyannote[2677].speaker SPEAKER_23
transcript.pyannote[2677].start 13218.10034375
transcript.pyannote[2677].end 13222.92659375
transcript.pyannote[2678].speaker SPEAKER_23
transcript.pyannote[2678].start 13223.16284375
transcript.pyannote[2678].end 13226.06534375
transcript.pyannote[2679].speaker SPEAKER_23
transcript.pyannote[2679].start 13226.65596875
transcript.pyannote[2679].end 13228.14096875
transcript.pyannote[2680].speaker SPEAKER_06
transcript.pyannote[2680].start 13226.68971875
transcript.pyannote[2680].end 13231.71846875
transcript.pyannote[2681].speaker SPEAKER_06
transcript.pyannote[2681].start 13232.49471875
transcript.pyannote[2681].end 13236.96659375
transcript.pyannote[2682].speaker SPEAKER_23
transcript.pyannote[2682].start 13236.66284375
transcript.pyannote[2682].end 13239.73409375
transcript.pyannote[2683].speaker SPEAKER_23
transcript.pyannote[2683].start 13240.17284375
transcript.pyannote[2683].end 13252.40721875
transcript.pyannote[2684].speaker SPEAKER_23
transcript.pyannote[2684].start 13253.74034375
transcript.pyannote[2684].end 13275.00284375
transcript.pyannote[2685].speaker SPEAKER_23
transcript.pyannote[2685].start 13275.30659375
transcript.pyannote[2685].end 13277.55096875
transcript.pyannote[2686].speaker SPEAKER_23
transcript.pyannote[2686].start 13277.92221875
transcript.pyannote[2686].end 13279.20471875
transcript.pyannote[2687].speaker SPEAKER_23
transcript.pyannote[2687].start 13279.35659375
transcript.pyannote[2687].end 13281.73596875
transcript.pyannote[2688].speaker SPEAKER_03
transcript.pyannote[2688].start 13280.18346875
transcript.pyannote[2688].end 13280.36909375
transcript.pyannote[2689].speaker SPEAKER_23
transcript.pyannote[2689].start 13282.42784375
transcript.pyannote[2689].end 13291.06784375
transcript.pyannote[2690].speaker SPEAKER_23
transcript.pyannote[2690].start 13291.87784375
transcript.pyannote[2690].end 13292.41784375
transcript.pyannote[2691].speaker SPEAKER_23
transcript.pyannote[2691].start 13293.29534375
transcript.pyannote[2691].end 13296.04596875
transcript.pyannote[2692].speaker SPEAKER_23
transcript.pyannote[2692].start 13296.41721875
transcript.pyannote[2692].end 13296.95721875
transcript.pyannote[2693].speaker SPEAKER_01
transcript.pyannote[2693].start 13298.25659375
transcript.pyannote[2693].end 13298.29034375
transcript.pyannote[2694].speaker SPEAKER_06
transcript.pyannote[2694].start 13298.29034375
transcript.pyannote[2694].end 13298.86409375
transcript.pyannote[2695].speaker SPEAKER_01
transcript.pyannote[2695].start 13298.86409375
transcript.pyannote[2695].end 13299.03284375
transcript.pyannote[2696].speaker SPEAKER_06
transcript.pyannote[2696].start 13299.03284375
transcript.pyannote[2696].end 13305.05721875
transcript.pyannote[2697].speaker SPEAKER_23
transcript.pyannote[2697].start 13300.53471875
transcript.pyannote[2697].end 13301.93534375
transcript.pyannote[2698].speaker SPEAKER_23
transcript.pyannote[2698].start 13304.70284375
transcript.pyannote[2698].end 13306.59284375
transcript.pyannote[2699].speaker SPEAKER_06
transcript.pyannote[2699].start 13306.59284375
transcript.pyannote[2699].end 13306.67721875
transcript.pyannote[2700].speaker SPEAKER_23
transcript.pyannote[2700].start 13306.67721875
transcript.pyannote[2700].end 13306.77846875
transcript.pyannote[2701].speaker SPEAKER_06
transcript.pyannote[2701].start 13306.77846875
transcript.pyannote[2701].end 13307.95971875
transcript.pyannote[2702].speaker SPEAKER_23
transcript.pyannote[2702].start 13307.20034375
transcript.pyannote[2702].end 13308.01034375
transcript.pyannote[2703].speaker SPEAKER_23
transcript.pyannote[2703].start 13308.95534375
transcript.pyannote[2703].end 13309.30971875
transcript.pyannote[2704].speaker SPEAKER_06
transcript.pyannote[2704].start 13309.30971875
transcript.pyannote[2704].end 13314.81096875
transcript.pyannote[2705].speaker SPEAKER_23
transcript.pyannote[2705].start 13309.42784375
transcript.pyannote[2705].end 13310.35596875
transcript.pyannote[2706].speaker SPEAKER_23
transcript.pyannote[2706].start 13313.66346875
transcript.pyannote[2706].end 13322.72534375
transcript.pyannote[2707].speaker SPEAKER_23
transcript.pyannote[2707].start 13322.86034375
transcript.pyannote[2707].end 13323.94034375
transcript.pyannote[2708].speaker SPEAKER_23
transcript.pyannote[2708].start 13324.96971875
transcript.pyannote[2708].end 13325.13846875
transcript.pyannote[2709].speaker SPEAKER_06
transcript.pyannote[2709].start 13325.13846875
transcript.pyannote[2709].end 13330.60596875
transcript.pyannote[2710].speaker SPEAKER_23
transcript.pyannote[2710].start 13325.15534375
transcript.pyannote[2710].end 13325.83034375
transcript.pyannote[2711].speaker SPEAKER_23
transcript.pyannote[2711].start 13329.67784375
transcript.pyannote[2711].end 13331.02784375
transcript.pyannote[2712].speaker SPEAKER_06
transcript.pyannote[2712].start 13331.02784375
transcript.pyannote[2712].end 13331.04471875
transcript.pyannote[2713].speaker SPEAKER_23
transcript.pyannote[2713].start 13331.04471875
transcript.pyannote[2713].end 13331.06159375
transcript.pyannote[2714].speaker SPEAKER_22
transcript.pyannote[2714].start 13331.06159375
transcript.pyannote[2714].end 13331.09534375
transcript.pyannote[2715].speaker SPEAKER_06
transcript.pyannote[2715].start 13331.66909375
transcript.pyannote[2715].end 13333.81221875
transcript.pyannote[2716].speaker SPEAKER_23
transcript.pyannote[2716].start 13331.87159375
transcript.pyannote[2716].end 13339.68471875
transcript.pyannote[2717].speaker SPEAKER_23
transcript.pyannote[2717].start 13340.05596875
transcript.pyannote[2717].end 13340.08971875
transcript.pyannote[2718].speaker SPEAKER_06
transcript.pyannote[2718].start 13340.08971875
transcript.pyannote[2718].end 13340.10659375
transcript.pyannote[2719].speaker SPEAKER_23
transcript.pyannote[2719].start 13340.10659375
transcript.pyannote[2719].end 13353.82596875
transcript.pyannote[2720].speaker SPEAKER_06
transcript.pyannote[2720].start 13340.93346875
transcript.pyannote[2720].end 13341.18659375
transcript.pyannote[2721].speaker SPEAKER_06
transcript.pyannote[2721].start 13353.99471875
transcript.pyannote[2721].end 13354.26471875
transcript.pyannote[2722].speaker SPEAKER_23
transcript.pyannote[2722].start 13354.51784375
transcript.pyannote[2722].end 13356.96471875
transcript.pyannote[2723].speaker SPEAKER_06
transcript.pyannote[2723].start 13356.96471875
transcript.pyannote[2723].end 13358.44971875
transcript.pyannote[2724].speaker SPEAKER_22
transcript.pyannote[2724].start 13357.67346875
transcript.pyannote[2724].end 13361.75721875
transcript.pyannote[2725].speaker SPEAKER_04
transcript.pyannote[2725].start 13373.40096875
transcript.pyannote[2725].end 13373.41784375
transcript.pyannote[2726].speaker SPEAKER_03
transcript.pyannote[2726].start 13373.41784375
transcript.pyannote[2726].end 13373.87346875
transcript.pyannote[2727].speaker SPEAKER_04
transcript.pyannote[2727].start 13373.87346875
transcript.pyannote[2727].end 13373.89034375
transcript.pyannote[2728].speaker SPEAKER_03
transcript.pyannote[2728].start 13374.09284375
transcript.pyannote[2728].end 13374.21096875
transcript.pyannote[2729].speaker SPEAKER_16
transcript.pyannote[2729].start 13374.21096875
transcript.pyannote[2729].end 13374.24471875
transcript.pyannote[2730].speaker SPEAKER_03
transcript.pyannote[2730].start 13374.31221875
transcript.pyannote[2730].end 13375.20659375
transcript.pyannote[2731].speaker SPEAKER_03
transcript.pyannote[2731].start 13375.89846875
transcript.pyannote[2731].end 13377.23159375
transcript.pyannote[2732].speaker SPEAKER_03
transcript.pyannote[2732].start 13377.53534375
transcript.pyannote[2732].end 13378.41284375
transcript.pyannote[2733].speaker SPEAKER_03
transcript.pyannote[2733].start 13380.10034375
transcript.pyannote[2733].end 13380.75846875
transcript.pyannote[2734].speaker SPEAKER_16
transcript.pyannote[2734].start 13381.70346875
transcript.pyannote[2734].end 13382.10846875
transcript.pyannote[2735].speaker SPEAKER_16
transcript.pyannote[2735].start 13383.08721875
transcript.pyannote[2735].end 13384.84221875
transcript.pyannote[2736].speaker SPEAKER_16
transcript.pyannote[2736].start 13385.24721875
transcript.pyannote[2736].end 13385.95596875
transcript.pyannote[2737].speaker SPEAKER_16
transcript.pyannote[2737].start 13386.76596875
transcript.pyannote[2737].end 13388.87534375
transcript.pyannote[2738].speaker SPEAKER_16
transcript.pyannote[2738].start 13389.33096875
transcript.pyannote[2738].end 13392.48659375
transcript.pyannote[2739].speaker SPEAKER_16
transcript.pyannote[2739].start 13393.11096875
transcript.pyannote[2739].end 13395.86159375
transcript.pyannote[2740].speaker SPEAKER_16
transcript.pyannote[2740].start 13396.65471875
transcript.pyannote[2740].end 13397.58284375
transcript.pyannote[2741].speaker SPEAKER_16
transcript.pyannote[2741].start 13397.90346875
transcript.pyannote[2741].end 13399.42221875
transcript.pyannote[2742].speaker SPEAKER_16
transcript.pyannote[2742].start 13400.14784375
transcript.pyannote[2742].end 13402.24034375
transcript.pyannote[2743].speaker SPEAKER_16
transcript.pyannote[2743].start 13403.25284375
transcript.pyannote[2743].end 13404.99096875
transcript.pyannote[2744].speaker SPEAKER_16
transcript.pyannote[2744].start 13405.93596875
transcript.pyannote[2744].end 13406.52659375
transcript.pyannote[2745].speaker SPEAKER_16
transcript.pyannote[2745].start 13407.01596875
transcript.pyannote[2745].end 13408.70346875
transcript.pyannote[2746].speaker SPEAKER_16
transcript.pyannote[2746].start 13409.14221875
transcript.pyannote[2746].end 13410.23909375
transcript.pyannote[2747].speaker SPEAKER_16
transcript.pyannote[2747].start 13411.18409375
transcript.pyannote[2747].end 13413.02346875
transcript.pyannote[2748].speaker SPEAKER_16
transcript.pyannote[2748].start 13413.49596875
transcript.pyannote[2748].end 13417.02284375
transcript.pyannote[2749].speaker SPEAKER_16
transcript.pyannote[2749].start 13417.71471875
transcript.pyannote[2749].end 13418.96346875
transcript.pyannote[2750].speaker SPEAKER_16
transcript.pyannote[2750].start 13419.84096875
transcript.pyannote[2750].end 13429.02096875
transcript.pyannote[2751].speaker SPEAKER_16
transcript.pyannote[2751].start 13429.81409375
transcript.pyannote[2751].end 13435.53471875
transcript.pyannote[2752].speaker SPEAKER_16
transcript.pyannote[2752].start 13437.05346875
transcript.pyannote[2752].end 13440.68159375
transcript.pyannote[2753].speaker SPEAKER_16
transcript.pyannote[2753].start 13441.54221875
transcript.pyannote[2753].end 13443.71909375
transcript.pyannote[2754].speaker SPEAKER_16
transcript.pyannote[2754].start 13444.14096875
transcript.pyannote[2754].end 13450.30034375
transcript.pyannote[2755].speaker SPEAKER_16
transcript.pyannote[2755].start 13450.78971875
transcript.pyannote[2755].end 13451.26221875
transcript.pyannote[2756].speaker SPEAKER_16
transcript.pyannote[2756].start 13451.80221875
transcript.pyannote[2756].end 13454.28284375
transcript.pyannote[2757].speaker SPEAKER_16
transcript.pyannote[2757].start 13455.00846875
transcript.pyannote[2757].end 13455.68346875
transcript.pyannote[2758].speaker SPEAKER_16
transcript.pyannote[2758].start 13456.27409375
transcript.pyannote[2758].end 13456.62846875
transcript.pyannote[2759].speaker SPEAKER_16
transcript.pyannote[2759].start 13457.55659375
transcript.pyannote[2759].end 13458.31596875
transcript.pyannote[2760].speaker SPEAKER_16
transcript.pyannote[2760].start 13459.17659375
transcript.pyannote[2760].end 13460.57721875
transcript.pyannote[2761].speaker SPEAKER_16
transcript.pyannote[2761].start 13461.18471875
transcript.pyannote[2761].end 13462.58534375
transcript.pyannote[2762].speaker SPEAKER_16
transcript.pyannote[2762].start 13462.99034375
transcript.pyannote[2762].end 13463.68221875
transcript.pyannote[2763].speaker SPEAKER_16
transcript.pyannote[2763].start 13463.96909375
transcript.pyannote[2763].end 13466.02784375
transcript.pyannote[2764].speaker SPEAKER_16
transcript.pyannote[2764].start 13466.71971875
transcript.pyannote[2764].end 13470.01034375
transcript.pyannote[2765].speaker SPEAKER_16
transcript.pyannote[2765].start 13470.58409375
transcript.pyannote[2765].end 13473.16596875
transcript.pyannote[2766].speaker SPEAKER_16
transcript.pyannote[2766].start 13474.19534375
transcript.pyannote[2766].end 13475.71409375
transcript.pyannote[2767].speaker SPEAKER_16
transcript.pyannote[2767].start 13476.25409375
transcript.pyannote[2767].end 13476.50721875
transcript.pyannote[2768].speaker SPEAKER_16
transcript.pyannote[2768].start 13476.89534375
transcript.pyannote[2768].end 13478.39721875
transcript.pyannote[2769].speaker SPEAKER_16
transcript.pyannote[2769].start 13479.13971875
transcript.pyannote[2769].end 13479.61221875
transcript.pyannote[2770].speaker SPEAKER_16
transcript.pyannote[2770].start 13479.89909375
transcript.pyannote[2770].end 13480.96221875
transcript.pyannote[2771].speaker SPEAKER_16
transcript.pyannote[2771].start 13481.65409375
transcript.pyannote[2771].end 13482.58221875
transcript.pyannote[2772].speaker SPEAKER_16
transcript.pyannote[2772].start 13482.91971875
transcript.pyannote[2772].end 13484.45534375
transcript.pyannote[2773].speaker SPEAKER_16
transcript.pyannote[2773].start 13485.36659375
transcript.pyannote[2773].end 13486.63221875
transcript.pyannote[2774].speaker SPEAKER_16
transcript.pyannote[2774].start 13487.54346875
transcript.pyannote[2774].end 13490.86784375
transcript.pyannote[2775].speaker SPEAKER_16
transcript.pyannote[2775].start 13491.74534375
transcript.pyannote[2775].end 13494.04034375
transcript.pyannote[2776].speaker SPEAKER_16
transcript.pyannote[2776].start 13494.49596875
transcript.pyannote[2776].end 13496.43659375
transcript.pyannote[2777].speaker SPEAKER_16
transcript.pyannote[2777].start 13496.97659375
transcript.pyannote[2777].end 13500.25034375
transcript.pyannote[2778].speaker SPEAKER_16
transcript.pyannote[2778].start 13500.45284375
transcript.pyannote[2778].end 13500.95909375
transcript.pyannote[2779].speaker SPEAKER_16
transcript.pyannote[2779].start 13502.03909375
transcript.pyannote[2779].end 13503.11909375
transcript.pyannote[2780].speaker SPEAKER_16
transcript.pyannote[2780].start 13504.08096875
transcript.pyannote[2780].end 13505.95409375
transcript.pyannote[2781].speaker SPEAKER_16
transcript.pyannote[2781].start 13506.93284375
transcript.pyannote[2781].end 13508.33346875
transcript.pyannote[2782].speaker SPEAKER_16
transcript.pyannote[2782].start 13510.15596875
transcript.pyannote[2782].end 13512.07971875
transcript.pyannote[2783].speaker SPEAKER_16
transcript.pyannote[2783].start 13513.46346875
transcript.pyannote[2783].end 13514.67846875
transcript.pyannote[2784].speaker SPEAKER_16
transcript.pyannote[2784].start 13515.26909375
transcript.pyannote[2784].end 13516.45034375
transcript.pyannote[2785].speaker SPEAKER_16
transcript.pyannote[2785].start 13517.71596875
transcript.pyannote[2785].end 13520.36534375
transcript.pyannote[2786].speaker SPEAKER_16
transcript.pyannote[2786].start 13520.60159375
transcript.pyannote[2786].end 13523.94284375
transcript.pyannote[2787].speaker SPEAKER_16
transcript.pyannote[2787].start 13524.76971875
transcript.pyannote[2787].end 13526.27159375
transcript.pyannote[2788].speaker SPEAKER_16
transcript.pyannote[2788].start 13526.77784375
transcript.pyannote[2788].end 13531.51971875
transcript.pyannote[2789].speaker SPEAKER_16
transcript.pyannote[2789].start 13532.54909375
transcript.pyannote[2789].end 13534.06784375
transcript.pyannote[2790].speaker SPEAKER_16
transcript.pyannote[2790].start 13535.53596875
transcript.pyannote[2790].end 13537.96596875
transcript.pyannote[2791].speaker SPEAKER_16
transcript.pyannote[2791].start 13538.32034375
transcript.pyannote[2791].end 13539.51846875
transcript.pyannote[2792].speaker SPEAKER_16
transcript.pyannote[2792].start 13539.92346875
transcript.pyannote[2792].end 13542.30284375
transcript.pyannote[2793].speaker SPEAKER_16
transcript.pyannote[2793].start 13543.50096875
transcript.pyannote[2793].end 13546.92659375
transcript.pyannote[2794].speaker SPEAKER_16
transcript.pyannote[2794].start 13547.39909375
transcript.pyannote[2794].end 13549.74471875
transcript.pyannote[2795].speaker SPEAKER_16
transcript.pyannote[2795].start 13550.85846875
transcript.pyannote[2795].end 13552.44471875
transcript.pyannote[2796].speaker SPEAKER_16
transcript.pyannote[2796].start 13553.30534375
transcript.pyannote[2796].end 13556.29221875
transcript.pyannote[2797].speaker SPEAKER_16
transcript.pyannote[2797].start 13557.28784375
transcript.pyannote[2797].end 13565.18534375
transcript.pyannote[2798].speaker SPEAKER_16
transcript.pyannote[2798].start 13566.85596875
transcript.pyannote[2798].end 13572.15471875
transcript.pyannote[2799].speaker SPEAKER_16
transcript.pyannote[2799].start 13572.94784375
transcript.pyannote[2799].end 13574.66909375
transcript.pyannote[2800].speaker SPEAKER_16
transcript.pyannote[2800].start 13575.05721875
transcript.pyannote[2800].end 13581.03096875
transcript.pyannote[2801].speaker SPEAKER_16
transcript.pyannote[2801].start 13581.50346875
transcript.pyannote[2801].end 13584.70971875
transcript.pyannote[2802].speaker SPEAKER_16
transcript.pyannote[2802].start 13585.21596875
transcript.pyannote[2802].end 13589.14784375
transcript.pyannote[2803].speaker SPEAKER_16
transcript.pyannote[2803].start 13589.68784375
transcript.pyannote[2803].end 13591.20659375
transcript.pyannote[2804].speaker SPEAKER_16
transcript.pyannote[2804].start 13591.69596875
transcript.pyannote[2804].end 13593.68721875
transcript.pyannote[2805].speaker SPEAKER_16
transcript.pyannote[2805].start 13594.21034375
transcript.pyannote[2805].end 13595.17221875
transcript.pyannote[2806].speaker SPEAKER_16
transcript.pyannote[2806].start 13596.62346875
transcript.pyannote[2806].end 13599.23909375
transcript.pyannote[2807].speaker SPEAKER_16
transcript.pyannote[2807].start 13599.76221875
transcript.pyannote[2807].end 13601.36534375
transcript.pyannote[2808].speaker SPEAKER_16
transcript.pyannote[2808].start 13602.64784375
transcript.pyannote[2808].end 13604.18346875
transcript.pyannote[2809].speaker SPEAKER_16
transcript.pyannote[2809].start 13604.95971875
transcript.pyannote[2809].end 13615.08471875
transcript.pyannote[2810].speaker SPEAKER_16
transcript.pyannote[2810].start 13615.21971875
transcript.pyannote[2810].end 13618.39221875
transcript.pyannote[2811].speaker SPEAKER_16
transcript.pyannote[2811].start 13619.42159375
transcript.pyannote[2811].end 13621.26096875
transcript.pyannote[2812].speaker SPEAKER_16
transcript.pyannote[2812].start 13621.78409375
transcript.pyannote[2812].end 13624.43346875
transcript.pyannote[2813].speaker SPEAKER_16
transcript.pyannote[2813].start 13625.24346875
transcript.pyannote[2813].end 13626.57659375
transcript.pyannote[2814].speaker SPEAKER_16
transcript.pyannote[2814].start 13628.19659375
transcript.pyannote[2814].end 13629.83346875
transcript.pyannote[2815].speaker SPEAKER_16
transcript.pyannote[2815].start 13630.40721875
transcript.pyannote[2815].end 13639.03034375
transcript.pyannote[2816].speaker SPEAKER_16
transcript.pyannote[2816].start 13640.21159375
transcript.pyannote[2816].end 13642.40534375
transcript.pyannote[2817].speaker SPEAKER_16
transcript.pyannote[2817].start 13642.87784375
transcript.pyannote[2817].end 13645.54409375
transcript.pyannote[2818].speaker SPEAKER_16
transcript.pyannote[2818].start 13645.74659375
transcript.pyannote[2818].end 13647.85596875
transcript.pyannote[2819].speaker SPEAKER_16
transcript.pyannote[2819].start 13648.75034375
transcript.pyannote[2819].end 13655.41596875
transcript.pyannote[2820].speaker SPEAKER_16
transcript.pyannote[2820].start 13655.77034375
transcript.pyannote[2820].end 13657.98096875
transcript.pyannote[2821].speaker SPEAKER_16
transcript.pyannote[2821].start 13659.38159375
transcript.pyannote[2821].end 13659.95534375
transcript.pyannote[2822].speaker SPEAKER_16
transcript.pyannote[2822].start 13660.71471875
transcript.pyannote[2822].end 13663.00971875
transcript.pyannote[2823].speaker SPEAKER_16
transcript.pyannote[2823].start 13663.38096875
transcript.pyannote[2823].end 13665.00096875
transcript.pyannote[2824].speaker SPEAKER_16
transcript.pyannote[2824].start 13665.74346875
transcript.pyannote[2824].end 13668.13971875
transcript.pyannote[2825].speaker SPEAKER_16
transcript.pyannote[2825].start 13669.27034375
transcript.pyannote[2825].end 13671.02534375
transcript.pyannote[2826].speaker SPEAKER_16
transcript.pyannote[2826].start 13671.24471875
transcript.pyannote[2826].end 13673.45534375
transcript.pyannote[2827].speaker SPEAKER_16
transcript.pyannote[2827].start 13673.94471875
transcript.pyannote[2827].end 13674.43409375
transcript.pyannote[2828].speaker SPEAKER_16
transcript.pyannote[2828].start 13676.69534375
transcript.pyannote[2828].end 13677.79221875
transcript.pyannote[2829].speaker SPEAKER_16
transcript.pyannote[2829].start 13678.83846875
transcript.pyannote[2829].end 13686.51659375
transcript.pyannote[2830].speaker SPEAKER_16
transcript.pyannote[2830].start 13687.90034375
transcript.pyannote[2830].end 13691.46096875
transcript.pyannote[2831].speaker SPEAKER_16
transcript.pyannote[2831].start 13692.13596875
transcript.pyannote[2831].end 13694.09346875
transcript.pyannote[2832].speaker SPEAKER_16
transcript.pyannote[2832].start 13694.49846875
transcript.pyannote[2832].end 13695.40971875
transcript.pyannote[2833].speaker SPEAKER_16
transcript.pyannote[2833].start 13696.65846875
transcript.pyannote[2833].end 13698.63284375
transcript.pyannote[2834].speaker SPEAKER_16
transcript.pyannote[2834].start 13698.95346875
transcript.pyannote[2834].end 13699.76346875
transcript.pyannote[2835].speaker SPEAKER_16
transcript.pyannote[2835].start 13700.30346875
transcript.pyannote[2835].end 13701.48471875
transcript.pyannote[2836].speaker SPEAKER_06
transcript.pyannote[2836].start 13702.14284375
transcript.pyannote[2836].end 13726.54409375
transcript.pyannote[2837].speaker SPEAKER_16
transcript.pyannote[2837].start 13704.18471875
transcript.pyannote[2837].end 13706.15909375
transcript.pyannote[2838].speaker SPEAKER_16
transcript.pyannote[2838].start 13716.36846875
transcript.pyannote[2838].end 13716.89159375
transcript.pyannote[2839].speaker SPEAKER_06
transcript.pyannote[2839].start 13726.83096875
transcript.pyannote[2839].end 13729.14284375
transcript.pyannote[2840].speaker SPEAKER_23
transcript.pyannote[2840].start 13729.14284375
transcript.pyannote[2840].end 13730.10471875
transcript.pyannote[2841].speaker SPEAKER_16
transcript.pyannote[2841].start 13730.10471875
transcript.pyannote[2841].end 13730.35784375
transcript.pyannote[2842].speaker SPEAKER_06
transcript.pyannote[2842].start 13730.10471875
transcript.pyannote[2842].end 13733.96909375
transcript.pyannote[2843].speaker SPEAKER_23
transcript.pyannote[2843].start 13730.35784375
transcript.pyannote[2843].end 13730.61096875
transcript.pyannote[2844].speaker SPEAKER_16
transcript.pyannote[2844].start 13730.61096875
transcript.pyannote[2844].end 13733.69909375
transcript.pyannote[2845].speaker SPEAKER_16
transcript.pyannote[2845].start 13734.30659375
transcript.pyannote[2845].end 13734.88034375
transcript.pyannote[2846].speaker SPEAKER_16
transcript.pyannote[2846].start 13735.48784375
transcript.pyannote[2846].end 13736.29784375
transcript.pyannote[2847].speaker SPEAKER_16
transcript.pyannote[2847].start 13736.43284375
transcript.pyannote[2847].end 13744.17846875
transcript.pyannote[2848].speaker SPEAKER_16
transcript.pyannote[2848].start 13744.54971875
transcript.pyannote[2848].end 13749.78096875
transcript.pyannote[2849].speaker SPEAKER_06
transcript.pyannote[2849].start 13748.76846875
transcript.pyannote[2849].end 13749.76409375
transcript.pyannote[2850].speaker SPEAKER_06
transcript.pyannote[2850].start 13749.78096875
transcript.pyannote[2850].end 13749.86534375
transcript.pyannote[2851].speaker SPEAKER_16
transcript.pyannote[2851].start 13749.86534375
transcript.pyannote[2851].end 13749.96659375
transcript.pyannote[2852].speaker SPEAKER_06
transcript.pyannote[2852].start 13749.96659375
transcript.pyannote[2852].end 13750.48971875
transcript.pyannote[2853].speaker SPEAKER_06
transcript.pyannote[2853].start 13750.99596875
transcript.pyannote[2853].end 13759.65284375
transcript.pyannote[2854].speaker SPEAKER_06
transcript.pyannote[2854].start 13760.44596875
transcript.pyannote[2854].end 13760.83409375
transcript.pyannote[2855].speaker SPEAKER_06
transcript.pyannote[2855].start 13761.13784375
transcript.pyannote[2855].end 13767.60096875
transcript.pyannote[2856].speaker SPEAKER_06
transcript.pyannote[2856].start 13768.02284375
transcript.pyannote[2856].end 13768.71471875
transcript.pyannote[2857].speaker SPEAKER_06
transcript.pyannote[2857].start 13769.15346875
transcript.pyannote[2857].end 13773.55784375
transcript.pyannote[2858].speaker SPEAKER_06
transcript.pyannote[2858].start 13774.18221875
transcript.pyannote[2858].end 13782.26534375
transcript.pyannote[2859].speaker SPEAKER_06
transcript.pyannote[2859].start 13782.58596875
transcript.pyannote[2859].end 13794.95534375
transcript.pyannote[2860].speaker SPEAKER_06
transcript.pyannote[2860].start 13795.63034375
transcript.pyannote[2860].end 13802.73471875
transcript.pyannote[2861].speaker SPEAKER_06
transcript.pyannote[2861].start 13803.24096875
transcript.pyannote[2861].end 13806.66659375
transcript.pyannote[2862].speaker SPEAKER_06
transcript.pyannote[2862].start 13807.35846875
transcript.pyannote[2862].end 13814.51346875
transcript.pyannote[2863].speaker SPEAKER_06
transcript.pyannote[2863].start 13814.76659375
transcript.pyannote[2863].end 13817.46659375
transcript.pyannote[2864].speaker SPEAKER_06
transcript.pyannote[2864].start 13818.00659375
transcript.pyannote[2864].end 13819.79534375
transcript.pyannote[2865].speaker SPEAKER_06
transcript.pyannote[2865].start 13820.08221875
transcript.pyannote[2865].end 13821.97221875
transcript.pyannote[2866].speaker SPEAKER_06
transcript.pyannote[2866].start 13822.32659375
transcript.pyannote[2866].end 13834.18971875
transcript.pyannote[2867].speaker SPEAKER_06
transcript.pyannote[2867].start 13834.37534375
transcript.pyannote[2867].end 13835.33721875
transcript.pyannote[2868].speaker SPEAKER_06
transcript.pyannote[2868].start 13835.48909375
transcript.pyannote[2868].end 13838.03721875
transcript.pyannote[2869].speaker SPEAKER_06
transcript.pyannote[2869].start 13838.44221875
transcript.pyannote[2869].end 13839.04971875
transcript.pyannote[2870].speaker SPEAKER_06
transcript.pyannote[2870].start 13839.82596875
transcript.pyannote[2870].end 13840.31534375
transcript.pyannote[2871].speaker SPEAKER_16
transcript.pyannote[2871].start 13839.94409375
transcript.pyannote[2871].end 13841.53034375
transcript.pyannote[2872].speaker SPEAKER_06
transcript.pyannote[2872].start 13841.53034375
transcript.pyannote[2872].end 13841.54721875
transcript.pyannote[2873].speaker SPEAKER_16
transcript.pyannote[2873].start 13841.54721875
transcript.pyannote[2873].end 13841.58096875
transcript.pyannote[2874].speaker SPEAKER_06
transcript.pyannote[2874].start 13841.58096875
transcript.pyannote[2874].end 13841.74971875
transcript.pyannote[2875].speaker SPEAKER_16
transcript.pyannote[2875].start 13841.74971875
transcript.pyannote[2875].end 13856.90346875
transcript.pyannote[2876].speaker SPEAKER_00
transcript.pyannote[2876].start 13850.08596875
transcript.pyannote[2876].end 13850.10284375
transcript.pyannote[2877].speaker SPEAKER_17
transcript.pyannote[2877].start 13850.10284375
transcript.pyannote[2877].end 13851.97596875
transcript.pyannote[2878].speaker SPEAKER_00
transcript.pyannote[2878].start 13851.97596875
transcript.pyannote[2878].end 13853.61284375
transcript.pyannote[2879].speaker SPEAKER_16
transcript.pyannote[2879].start 13857.52784375
transcript.pyannote[2879].end 13860.53159375
transcript.pyannote[2880].speaker SPEAKER_16
transcript.pyannote[2880].start 13860.90284375
transcript.pyannote[2880].end 13866.18471875
transcript.pyannote[2881].speaker SPEAKER_16
transcript.pyannote[2881].start 13866.53909375
transcript.pyannote[2881].end 13870.20096875
transcript.pyannote[2882].speaker SPEAKER_06
transcript.pyannote[2882].start 13870.20096875
transcript.pyannote[2882].end 13870.23471875
transcript.pyannote[2883].speaker SPEAKER_16
transcript.pyannote[2883].start 13870.23471875
transcript.pyannote[2883].end 13870.31909375
transcript.pyannote[2884].speaker SPEAKER_06
transcript.pyannote[2884].start 13870.31909375
transcript.pyannote[2884].end 13870.35284375
transcript.pyannote[2885].speaker SPEAKER_16
transcript.pyannote[2885].start 13870.35284375
transcript.pyannote[2885].end 13870.40346875
transcript.pyannote[2886].speaker SPEAKER_06
transcript.pyannote[2886].start 13870.40346875
transcript.pyannote[2886].end 13877.08596875
transcript.pyannote[2887].speaker SPEAKER_16
transcript.pyannote[2887].start 13870.42034375
transcript.pyannote[2887].end 13871.51721875
transcript.pyannote[2888].speaker SPEAKER_06
transcript.pyannote[2888].start 13878.45284375
transcript.pyannote[2888].end 13884.00471875
transcript.pyannote[2889].speaker SPEAKER_06
transcript.pyannote[2889].start 13884.46034375
transcript.pyannote[2889].end 13885.59096875
transcript.pyannote[2890].speaker SPEAKER_06
transcript.pyannote[2890].start 13885.91159375
transcript.pyannote[2890].end 13888.25721875
transcript.pyannote[2891].speaker SPEAKER_06
transcript.pyannote[2891].start 13888.61159375
transcript.pyannote[2891].end 13894.56846875
transcript.pyannote[2892].speaker SPEAKER_06
transcript.pyannote[2892].start 13895.20971875
transcript.pyannote[2892].end 13898.97284375
transcript.pyannote[2893].speaker SPEAKER_18
transcript.pyannote[2893].start 13896.32346875
transcript.pyannote[2893].end 13896.86346875
transcript.pyannote[2894].speaker SPEAKER_16
transcript.pyannote[2894].start 13898.97284375
transcript.pyannote[2894].end 13902.28034375
transcript.pyannote[2895].speaker SPEAKER_16
transcript.pyannote[2895].start 13902.63471875
transcript.pyannote[2895].end 13916.33721875
transcript.pyannote[2896].speaker SPEAKER_16
transcript.pyannote[2896].start 13916.52284375
transcript.pyannote[2896].end 13927.62659375
transcript.pyannote[2897].speaker SPEAKER_16
transcript.pyannote[2897].start 13927.98096875
transcript.pyannote[2897].end 13931.74409375
transcript.pyannote[2898].speaker SPEAKER_16
transcript.pyannote[2898].start 13931.82846875
transcript.pyannote[2898].end 13934.24159375
transcript.pyannote[2899].speaker SPEAKER_16
transcript.pyannote[2899].start 13934.76471875
transcript.pyannote[2899].end 13952.01096875
transcript.pyannote[2900].speaker SPEAKER_06
transcript.pyannote[2900].start 13942.42596875
transcript.pyannote[2900].end 13945.07534375
transcript.pyannote[2901].speaker SPEAKER_16
transcript.pyannote[2901].start 13952.65221875
transcript.pyannote[2901].end 13957.20846875
transcript.pyannote[2902].speaker SPEAKER_16
transcript.pyannote[2902].start 13957.30971875
transcript.pyannote[2902].end 13959.03096875
transcript.pyannote[2903].speaker SPEAKER_16
transcript.pyannote[2903].start 13959.30096875
transcript.pyannote[2903].end 13959.72284375
transcript.pyannote[2904].speaker SPEAKER_16
transcript.pyannote[2904].start 13960.80284375
transcript.pyannote[2904].end 13963.60409375
transcript.pyannote[2905].speaker SPEAKER_16
transcript.pyannote[2905].start 13964.04284375
transcript.pyannote[2905].end 13967.63721875
transcript.pyannote[2906].speaker SPEAKER_16
transcript.pyannote[2906].start 13968.29534375
transcript.pyannote[2906].end 13973.32409375
transcript.pyannote[2907].speaker SPEAKER_16
transcript.pyannote[2907].start 13973.72909375
transcript.pyannote[2907].end 13980.58034375
transcript.pyannote[2908].speaker SPEAKER_16
transcript.pyannote[2908].start 13981.30596875
transcript.pyannote[2908].end 13989.59159375
transcript.pyannote[2909].speaker SPEAKER_16
transcript.pyannote[2909].start 13989.96284375
transcript.pyannote[2909].end 13991.65034375
transcript.pyannote[2910].speaker SPEAKER_16
transcript.pyannote[2910].start 13992.71346875
transcript.pyannote[2910].end 13993.18596875
transcript.pyannote[2911].speaker SPEAKER_16
transcript.pyannote[2911].start 13993.60784375
transcript.pyannote[2911].end 13994.73846875
transcript.pyannote[2912].speaker SPEAKER_16
transcript.pyannote[2912].start 13995.26159375
transcript.pyannote[2912].end 14000.81346875
transcript.pyannote[2913].speaker SPEAKER_16
transcript.pyannote[2913].start 14001.74159375
transcript.pyannote[2913].end 14006.61846875
transcript.pyannote[2914].speaker SPEAKER_16
transcript.pyannote[2914].start 14006.92221875
transcript.pyannote[2914].end 14008.66034375
transcript.pyannote[2915].speaker SPEAKER_16
transcript.pyannote[2915].start 14009.23409375
transcript.pyannote[2915].end 14011.71471875
transcript.pyannote[2916].speaker SPEAKER_16
transcript.pyannote[2916].start 14012.11971875
transcript.pyannote[2916].end 14012.71034375
transcript.pyannote[2917].speaker SPEAKER_16
transcript.pyannote[2917].start 14012.91284375
transcript.pyannote[2917].end 14014.49909375
transcript.pyannote[2918].speaker SPEAKER_16
transcript.pyannote[2918].start 14014.73534375
transcript.pyannote[2918].end 14026.44659375
transcript.pyannote[2919].speaker SPEAKER_06
transcript.pyannote[2919].start 14027.50971875
transcript.pyannote[2919].end 14034.79971875
transcript.pyannote[2920].speaker SPEAKER_16
transcript.pyannote[2920].start 14034.56346875
transcript.pyannote[2920].end 14034.73221875
transcript.pyannote[2921].speaker SPEAKER_16
transcript.pyannote[2921].start 14034.79971875
transcript.pyannote[2921].end 14034.90096875
transcript.pyannote[2922].speaker SPEAKER_06
transcript.pyannote[2922].start 14034.90096875
transcript.pyannote[2922].end 14034.96846875
transcript.pyannote[2923].speaker SPEAKER_16
transcript.pyannote[2923].start 14034.96846875
transcript.pyannote[2923].end 14043.38909375
transcript.pyannote[2924].speaker SPEAKER_06
transcript.pyannote[2924].start 14038.32659375
transcript.pyannote[2924].end 14038.95096875
transcript.pyannote[2925].speaker SPEAKER_16
transcript.pyannote[2925].start 14044.18221875
transcript.pyannote[2925].end 14045.02596875
transcript.pyannote[2926].speaker SPEAKER_16
transcript.pyannote[2926].start 14045.68409375
transcript.pyannote[2926].end 14046.81471875
transcript.pyannote[2927].speaker SPEAKER_16
transcript.pyannote[2927].start 14047.40534375
transcript.pyannote[2927].end 14049.53159375
transcript.pyannote[2928].speaker SPEAKER_16
transcript.pyannote[2928].start 14050.03784375
transcript.pyannote[2928].end 14053.17659375
transcript.pyannote[2929].speaker SPEAKER_16
transcript.pyannote[2929].start 14053.66596875
transcript.pyannote[2929].end 14058.62721875
transcript.pyannote[2930].speaker SPEAKER_16
transcript.pyannote[2930].start 14058.86346875
transcript.pyannote[2930].end 14063.23409375
transcript.pyannote[2931].speaker SPEAKER_16
transcript.pyannote[2931].start 14063.79096875
transcript.pyannote[2931].end 14068.95471875
transcript.pyannote[2932].speaker SPEAKER_16
transcript.pyannote[2932].start 14069.69721875
transcript.pyannote[2932].end 14072.32971875
transcript.pyannote[2933].speaker SPEAKER_06
transcript.pyannote[2933].start 14071.28346875
transcript.pyannote[2933].end 14077.27409375
transcript.pyannote[2934].speaker SPEAKER_16
transcript.pyannote[2934].start 14074.33784375
transcript.pyannote[2934].end 14076.97034375
transcript.pyannote[2935].speaker SPEAKER_05
transcript.pyannote[2935].start 14077.27409375
transcript.pyannote[2935].end 14077.64534375
transcript.pyannote[2936].speaker SPEAKER_06
transcript.pyannote[2936].start 14077.64534375
transcript.pyannote[2936].end 14077.69596875
transcript.pyannote[2937].speaker SPEAKER_05
transcript.pyannote[2937].start 14077.69596875
transcript.pyannote[2937].end 14077.78034375
transcript.pyannote[2938].speaker SPEAKER_06
transcript.pyannote[2938].start 14077.78034375
transcript.pyannote[2938].end 14077.84784375
transcript.pyannote[2939].speaker SPEAKER_05
transcript.pyannote[2939].start 14077.84784375
transcript.pyannote[2939].end 14077.89846875
transcript.pyannote[2940].speaker SPEAKER_06
transcript.pyannote[2940].start 14077.89846875
transcript.pyannote[2940].end 14078.01659375
transcript.pyannote[2941].speaker SPEAKER_05
transcript.pyannote[2941].start 14078.01659375
transcript.pyannote[2941].end 14078.38784375
transcript.pyannote[2942].speaker SPEAKER_06
transcript.pyannote[2942].start 14078.38784375
transcript.pyannote[2942].end 14078.47221875
transcript.pyannote[2943].speaker SPEAKER_05
transcript.pyannote[2943].start 14078.47221875
transcript.pyannote[2943].end 14080.00784375
transcript.pyannote[2944].speaker SPEAKER_22
transcript.pyannote[2944].start 14080.00784375
transcript.pyannote[2944].end 14080.05846875
transcript.pyannote[2945].speaker SPEAKER_22
transcript.pyannote[2945].start 14080.32846875
transcript.pyannote[2945].end 14081.94846875
transcript.pyannote[2946].speaker SPEAKER_00
transcript.pyannote[2946].start 14092.05659375
transcript.pyannote[2946].end 14096.83221875
transcript.pyannote[2947].speaker SPEAKER_01
transcript.pyannote[2947].start 14097.33846875
transcript.pyannote[2947].end 14099.46471875
transcript.pyannote[2948].speaker SPEAKER_01
transcript.pyannote[2948].start 14101.32096875
transcript.pyannote[2948].end 14102.48534375
transcript.pyannote[2949].speaker SPEAKER_00
transcript.pyannote[2949].start 14103.34596875
transcript.pyannote[2949].end 14103.36284375
transcript.pyannote[2950].speaker SPEAKER_14
transcript.pyannote[2950].start 14103.36284375
transcript.pyannote[2950].end 14106.23159375
transcript.pyannote[2951].speaker SPEAKER_14
transcript.pyannote[2951].start 14106.45096875
transcript.pyannote[2951].end 14138.47971875
transcript.pyannote[2952].speaker SPEAKER_06
transcript.pyannote[2952].start 14139.71159375
transcript.pyannote[2952].end 14142.74909375
transcript.pyannote[2953].speaker SPEAKER_06
transcript.pyannote[2953].start 14143.84596875
transcript.pyannote[2953].end 14144.31846875
transcript.pyannote[2954].speaker SPEAKER_06
transcript.pyannote[2954].start 14145.07784375
transcript.pyannote[2954].end 14148.73971875
transcript.pyannote[2955].speaker SPEAKER_14
transcript.pyannote[2955].start 14148.73971875
transcript.pyannote[2955].end 14150.59596875
transcript.pyannote[2956].speaker SPEAKER_06
transcript.pyannote[2956].start 14150.96721875
transcript.pyannote[2956].end 14157.41346875
transcript.pyannote[2957].speaker SPEAKER_06
transcript.pyannote[2957].start 14158.76346875
transcript.pyannote[2957].end 14160.09659375
transcript.pyannote[2958].speaker SPEAKER_14
transcript.pyannote[2958].start 14160.09659375
transcript.pyannote[2958].end 14167.23471875
transcript.pyannote[2959].speaker SPEAKER_06
transcript.pyannote[2959].start 14161.75034375
transcript.pyannote[2959].end 14162.03721875
transcript.pyannote[2960].speaker SPEAKER_15
transcript.pyannote[2960].start 14162.03721875
transcript.pyannote[2960].end 14162.81346875
transcript.pyannote[2961].speaker SPEAKER_06
transcript.pyannote[2961].start 14162.81346875
transcript.pyannote[2961].end 14163.03284375
transcript.pyannote[2962].speaker SPEAKER_15
transcript.pyannote[2962].start 14163.03284375
transcript.pyannote[2962].end 14166.18846875
transcript.pyannote[2963].speaker SPEAKER_15
transcript.pyannote[2963].start 14169.04034375
transcript.pyannote[2963].end 14171.06534375
transcript.pyannote[2964].speaker SPEAKER_14
transcript.pyannote[2964].start 14171.06534375
transcript.pyannote[2964].end 14179.06409375
transcript.pyannote[2965].speaker SPEAKER_14
transcript.pyannote[2965].start 14179.58721875
transcript.pyannote[2965].end 14201.72721875
transcript.pyannote[2966].speaker SPEAKER_06
transcript.pyannote[2966].start 14203.07721875
transcript.pyannote[2966].end 14206.24971875
transcript.pyannote[2967].speaker SPEAKER_06
transcript.pyannote[2967].start 14206.55346875
transcript.pyannote[2967].end 14215.02471875
transcript.pyannote[2968].speaker SPEAKER_14
transcript.pyannote[2968].start 14215.14284375
transcript.pyannote[2968].end 14225.04846875
transcript.pyannote[2969].speaker SPEAKER_14
transcript.pyannote[2969].start 14225.60534375
transcript.pyannote[2969].end 14271.03284375
transcript.pyannote[2970].speaker SPEAKER_14
transcript.pyannote[2970].start 14271.26909375
transcript.pyannote[2970].end 14275.57221875
transcript.pyannote[2971].speaker SPEAKER_24
transcript.pyannote[2971].start 14277.36096875
transcript.pyannote[2971].end 14283.48659375
transcript.pyannote[2972].speaker SPEAKER_24
transcript.pyannote[2972].start 14283.75659375
transcript.pyannote[2972].end 14286.10221875
transcript.pyannote[2973].speaker SPEAKER_24
transcript.pyannote[2973].start 14286.13596875
transcript.pyannote[2973].end 14287.99221875
transcript.pyannote[2974].speaker SPEAKER_24
transcript.pyannote[2974].start 14288.34659375
transcript.pyannote[2974].end 14290.30409375
transcript.pyannote[2975].speaker SPEAKER_24
transcript.pyannote[2975].start 14290.92846875
transcript.pyannote[2975].end 14294.15159375
transcript.pyannote[2976].speaker SPEAKER_24
transcript.pyannote[2976].start 14294.43846875
transcript.pyannote[2976].end 14298.69096875
transcript.pyannote[2977].speaker SPEAKER_24
transcript.pyannote[2977].start 14298.79221875
transcript.pyannote[2977].end 14301.34034375
transcript.pyannote[2978].speaker SPEAKER_14
transcript.pyannote[2978].start 14301.79596875
transcript.pyannote[2978].end 14341.73909375
transcript.pyannote[2979].speaker SPEAKER_14
transcript.pyannote[2979].start 14343.32534375
transcript.pyannote[2979].end 14343.34221875
transcript.pyannote[2980].speaker SPEAKER_24
transcript.pyannote[2980].start 14343.34221875
transcript.pyannote[2980].end 14344.75971875
transcript.pyannote[2981].speaker SPEAKER_24
transcript.pyannote[2981].start 14344.96221875
transcript.pyannote[2981].end 14345.48534375
transcript.pyannote[2982].speaker SPEAKER_24
transcript.pyannote[2982].start 14345.78909375
transcript.pyannote[2982].end 14350.73346875
transcript.pyannote[2983].speaker SPEAKER_24
transcript.pyannote[2983].start 14351.18909375
transcript.pyannote[2983].end 14356.18409375
transcript.pyannote[2984].speaker SPEAKER_24
transcript.pyannote[2984].start 14356.40346875
transcript.pyannote[2984].end 14360.87534375
transcript.pyannote[2985].speaker SPEAKER_24
transcript.pyannote[2985].start 14361.12846875
transcript.pyannote[2985].end 14363.79471875
transcript.pyannote[2986].speaker SPEAKER_24
transcript.pyannote[2986].start 14364.60471875
transcript.pyannote[2986].end 14368.78971875
transcript.pyannote[2987].speaker SPEAKER_24
transcript.pyannote[2987].start 14369.49846875
transcript.pyannote[2987].end 14369.97096875
transcript.pyannote[2988].speaker SPEAKER_14
transcript.pyannote[2988].start 14369.97096875
transcript.pyannote[2988].end 14456.92784375
transcript.pyannote[2989].speaker SPEAKER_14
transcript.pyannote[2989].start 14457.31596875
transcript.pyannote[2989].end 14459.00346875
transcript.pyannote[2990].speaker SPEAKER_14
transcript.pyannote[2990].start 14459.37471875
transcript.pyannote[2990].end 14460.70784375
transcript.pyannote[2991].speaker SPEAKER_14
transcript.pyannote[2991].start 14461.28159375
transcript.pyannote[2991].end 14461.82159375
transcript.pyannote[2992].speaker SPEAKER_14
transcript.pyannote[2992].start 14462.14221875
transcript.pyannote[2992].end 14478.54471875
transcript.pyannote[2993].speaker SPEAKER_06
transcript.pyannote[2993].start 14478.54471875
transcript.pyannote[2993].end 14489.47971875
transcript.pyannote[2994].speaker SPEAKER_14
transcript.pyannote[2994].start 14484.41721875
transcript.pyannote[2994].end 14484.43409375
transcript.pyannote[2995].speaker SPEAKER_14
transcript.pyannote[2995].start 14489.47971875
transcript.pyannote[2995].end 14523.60096875
transcript.pyannote[2996].speaker SPEAKER_14
transcript.pyannote[2996].start 14524.19159375
transcript.pyannote[2996].end 14534.67096875
transcript.pyannote[2997].speaker SPEAKER_06
transcript.pyannote[2997].start 14534.41784375
transcript.pyannote[2997].end 14538.36659375
transcript.pyannote[2998].speaker SPEAKER_14
transcript.pyannote[2998].start 14537.42159375
transcript.pyannote[2998].end 14537.55659375
transcript.pyannote[2999].speaker SPEAKER_22
transcript.pyannote[2999].start 14537.55659375
transcript.pyannote[2999].end 14542.87221875
transcript.pyannote[3000].speaker SPEAKER_12
transcript.pyannote[3000].start 14550.76971875
transcript.pyannote[3000].end 14553.40221875
transcript.pyannote[3001].speaker SPEAKER_22
transcript.pyannote[3001].start 14554.29659375
transcript.pyannote[3001].end 14557.08096875
transcript.pyannote[3002].speaker SPEAKER_06
transcript.pyannote[3002].start 14558.48159375
transcript.pyannote[3002].end 14558.49846875
transcript.pyannote[3003].speaker SPEAKER_12
transcript.pyannote[3003].start 14558.49846875
transcript.pyannote[3003].end 14558.63346875
transcript.pyannote[3004].speaker SPEAKER_06
transcript.pyannote[3004].start 14558.63346875
transcript.pyannote[3004].end 14558.70096875
transcript.pyannote[3005].speaker SPEAKER_12
transcript.pyannote[3005].start 14558.70096875
transcript.pyannote[3005].end 14558.71784375
transcript.pyannote[3006].speaker SPEAKER_06
transcript.pyannote[3006].start 14558.71784375
transcript.pyannote[3006].end 14559.56159375
transcript.pyannote[3007].speaker SPEAKER_22
transcript.pyannote[3007].start 14559.56159375
transcript.pyannote[3007].end 14559.66284375
transcript.pyannote[3008].speaker SPEAKER_06
transcript.pyannote[3008].start 14559.66284375
transcript.pyannote[3008].end 14560.03409375
transcript.pyannote[3009].speaker SPEAKER_12
transcript.pyannote[3009].start 14560.03409375
transcript.pyannote[3009].end 14562.59909375
transcript.pyannote[3010].speaker SPEAKER_12
transcript.pyannote[3010].start 14562.66659375
transcript.pyannote[3010].end 14585.98784375
transcript.pyannote[3011].speaker SPEAKER_12
transcript.pyannote[3011].start 14586.25784375
transcript.pyannote[3011].end 14621.08784375
transcript.pyannote[3012].speaker SPEAKER_12
transcript.pyannote[3012].start 14622.97784375
transcript.pyannote[3012].end 14624.83409375
transcript.pyannote[3013].speaker SPEAKER_24
transcript.pyannote[3013].start 14623.12971875
transcript.pyannote[3013].end 14623.19721875
transcript.pyannote[3014].speaker SPEAKER_24
transcript.pyannote[3014].start 14625.79596875
transcript.pyannote[3014].end 14628.09096875
transcript.pyannote[3015].speaker SPEAKER_24
transcript.pyannote[3015].start 14628.81659375
transcript.pyannote[3015].end 14631.58409375
transcript.pyannote[3016].speaker SPEAKER_24
transcript.pyannote[3016].start 14631.98909375
transcript.pyannote[3016].end 14634.01409375
transcript.pyannote[3017].speaker SPEAKER_24
transcript.pyannote[3017].start 14634.33471875
transcript.pyannote[3017].end 14635.85346875
transcript.pyannote[3018].speaker SPEAKER_24
transcript.pyannote[3018].start 14636.79846875
transcript.pyannote[3018].end 14640.17346875
transcript.pyannote[3019].speaker SPEAKER_24
transcript.pyannote[3019].start 14640.59534375
transcript.pyannote[3019].end 14646.13034375
transcript.pyannote[3020].speaker SPEAKER_24
transcript.pyannote[3020].start 14646.83909375
transcript.pyannote[3020].end 14651.93534375
transcript.pyannote[3021].speaker SPEAKER_24
transcript.pyannote[3021].start 14652.22221875
transcript.pyannote[3021].end 14654.80409375
transcript.pyannote[3022].speaker SPEAKER_24
transcript.pyannote[3022].start 14655.12471875
transcript.pyannote[3022].end 14657.80784375
transcript.pyannote[3023].speaker SPEAKER_24
transcript.pyannote[3023].start 14658.06096875
transcript.pyannote[3023].end 14659.34346875
transcript.pyannote[3024].speaker SPEAKER_24
transcript.pyannote[3024].start 14659.84971875
transcript.pyannote[3024].end 14665.62096875
transcript.pyannote[3025].speaker SPEAKER_24
transcript.pyannote[3025].start 14665.87409375
transcript.pyannote[3025].end 14667.88221875
transcript.pyannote[3026].speaker SPEAKER_24
transcript.pyannote[3026].start 14668.32096875
transcript.pyannote[3026].end 14671.91534375
transcript.pyannote[3027].speaker SPEAKER_24
transcript.pyannote[3027].start 14672.13471875
transcript.pyannote[3027].end 14676.11721875
transcript.pyannote[3028].speaker SPEAKER_12
transcript.pyannote[3028].start 14676.38721875
transcript.pyannote[3028].end 14690.57909375
transcript.pyannote[3029].speaker SPEAKER_24
transcript.pyannote[3029].start 14692.14846875
transcript.pyannote[3029].end 14699.42159375
transcript.pyannote[3030].speaker SPEAKER_12
transcript.pyannote[3030].start 14698.56096875
transcript.pyannote[3030].end 14703.45471875
transcript.pyannote[3031].speaker SPEAKER_24
transcript.pyannote[3031].start 14703.45471875
transcript.pyannote[3031].end 14708.43284375
transcript.pyannote[3032].speaker SPEAKER_24
transcript.pyannote[3032].start 14708.98971875
transcript.pyannote[3032].end 14712.09471875
transcript.pyannote[3033].speaker SPEAKER_24
transcript.pyannote[3033].start 14712.56721875
transcript.pyannote[3033].end 14716.16159375
transcript.pyannote[3034].speaker SPEAKER_24
transcript.pyannote[3034].start 14716.41471875
transcript.pyannote[3034].end 14719.41846875
transcript.pyannote[3035].speaker SPEAKER_24
transcript.pyannote[3035].start 14719.73909375
transcript.pyannote[3035].end 14721.08909375
transcript.pyannote[3036].speaker SPEAKER_24
transcript.pyannote[3036].start 14721.57846875
transcript.pyannote[3036].end 14723.41784375
transcript.pyannote[3037].speaker SPEAKER_24
transcript.pyannote[3037].start 14723.62034375
transcript.pyannote[3037].end 14735.06159375
transcript.pyannote[3038].speaker SPEAKER_12
transcript.pyannote[3038].start 14729.35784375
transcript.pyannote[3038].end 14780.42159375
transcript.pyannote[3039].speaker SPEAKER_12
transcript.pyannote[3039].start 14780.97846875
transcript.pyannote[3039].end 14789.44971875
transcript.pyannote[3040].speaker SPEAKER_24
transcript.pyannote[3040].start 14791.23846875
transcript.pyannote[3040].end 14797.12784375
transcript.pyannote[3041].speaker SPEAKER_24
transcript.pyannote[3041].start 14797.22909375
transcript.pyannote[3041].end 14804.02971875
transcript.pyannote[3042].speaker SPEAKER_12
transcript.pyannote[3042].start 14804.02971875
transcript.pyannote[3042].end 14847.04409375
transcript.pyannote[3043].speaker SPEAKER_12
transcript.pyannote[3043].start 14847.55034375
transcript.pyannote[3043].end 14848.07346875
transcript.pyannote[3044].speaker SPEAKER_12
transcript.pyannote[3044].start 14848.57971875
transcript.pyannote[3044].end 14861.52284375
transcript.pyannote[3045].speaker SPEAKER_06
transcript.pyannote[3045].start 14861.52284375
transcript.pyannote[3045].end 14880.15284375
transcript.pyannote[3046].speaker SPEAKER_12
transcript.pyannote[3046].start 14880.16971875
transcript.pyannote[3046].end 14894.29409375
transcript.pyannote[3047].speaker SPEAKER_06
transcript.pyannote[3047].start 14894.24346875
transcript.pyannote[3047].end 14895.37409375
transcript.pyannote[3048].speaker SPEAKER_12
transcript.pyannote[3048].start 14895.59346875
transcript.pyannote[3048].end 14914.93221875
transcript.pyannote[3049].speaker SPEAKER_06
transcript.pyannote[3049].start 14915.47221875
transcript.pyannote[3049].end 14916.53534375
transcript.pyannote[3050].speaker SPEAKER_06
transcript.pyannote[3050].start 14916.82221875
transcript.pyannote[3050].end 14924.36534375
transcript.pyannote[3051].speaker SPEAKER_06
transcript.pyannote[3051].start 14924.63534375
transcript.pyannote[3051].end 14934.94596875
transcript.pyannote[3052].speaker SPEAKER_12
transcript.pyannote[3052].start 14934.13596875
transcript.pyannote[3052].end 14941.78034375
transcript.pyannote[3053].speaker SPEAKER_06
transcript.pyannote[3053].start 14936.27909375
transcript.pyannote[3053].end 14936.85284375
transcript.pyannote[3054].speaker SPEAKER_06
transcript.pyannote[3054].start 14938.55721875
transcript.pyannote[3054].end 14939.14784375
transcript.pyannote[3055].speaker SPEAKER_06
transcript.pyannote[3055].start 14941.39221875
transcript.pyannote[3055].end 14944.96971875
transcript.pyannote[3056].speaker SPEAKER_12
transcript.pyannote[3056].start 14942.43846875
transcript.pyannote[3056].end 14949.94784375
transcript.pyannote[3057].speaker SPEAKER_06
transcript.pyannote[3057].start 14946.06659375
transcript.pyannote[3057].end 14947.06221875
transcript.pyannote[3058].speaker SPEAKER_06
transcript.pyannote[3058].start 14948.09159375
transcript.pyannote[3058].end 14949.34034375
transcript.pyannote[3059].speaker SPEAKER_12
transcript.pyannote[3059].start 14949.98159375
transcript.pyannote[3059].end 14949.99846875
transcript.pyannote[3060].speaker SPEAKER_06
transcript.pyannote[3060].start 14949.99846875
transcript.pyannote[3060].end 14951.43284375
transcript.pyannote[3061].speaker SPEAKER_12
transcript.pyannote[3061].start 14951.43284375
transcript.pyannote[3061].end 14952.39471875
transcript.pyannote[3062].speaker SPEAKER_22
transcript.pyannote[3062].start 14952.79971875
transcript.pyannote[3062].end 14962.68846875
transcript.pyannote[3063].speaker SPEAKER_22
transcript.pyannote[3063].start 14963.07659375
transcript.pyannote[3063].end 14971.07534375
transcript.pyannote[3064].speaker SPEAKER_14
transcript.pyannote[3064].start 14980.82909375
transcript.pyannote[3064].end 14985.38534375
transcript.pyannote[3065].speaker SPEAKER_14
transcript.pyannote[3065].start 14985.41909375
transcript.pyannote[3065].end 14985.43596875
transcript.pyannote[3066].speaker SPEAKER_01
transcript.pyannote[3066].start 14985.45284375
transcript.pyannote[3066].end 14986.24596875
transcript.pyannote[3067].speaker SPEAKER_03
transcript.pyannote[3067].start 14986.24596875
transcript.pyannote[3067].end 14986.26284375
transcript.pyannote[3068].speaker SPEAKER_03
transcript.pyannote[3068].start 14990.56596875
transcript.pyannote[3068].end 14990.58284375
transcript.pyannote[3069].speaker SPEAKER_06
transcript.pyannote[3069].start 14990.58284375
transcript.pyannote[3069].end 14992.15221875
transcript.pyannote[3070].speaker SPEAKER_14
transcript.pyannote[3070].start 14992.15221875
transcript.pyannote[3070].end 15046.43909375
transcript.pyannote[3071].speaker SPEAKER_06
transcript.pyannote[3071].start 15048.12659375
transcript.pyannote[3071].end 15054.01596875
transcript.pyannote[3072].speaker SPEAKER_06
transcript.pyannote[3072].start 15054.57284375
transcript.pyannote[3072].end 15063.93846875
transcript.pyannote[3073].speaker SPEAKER_14
transcript.pyannote[3073].start 15063.87096875
transcript.pyannote[3073].end 15087.79971875
transcript.pyannote[3074].speaker SPEAKER_06
transcript.pyannote[3074].start 15088.44096875
transcript.pyannote[3074].end 15100.10159375
transcript.pyannote[3075].speaker SPEAKER_14
transcript.pyannote[3075].start 15092.55846875
transcript.pyannote[3075].end 15092.82846875
transcript.pyannote[3076].speaker SPEAKER_14
transcript.pyannote[3076].start 15100.10159375
transcript.pyannote[3076].end 15109.23096875
transcript.pyannote[3077].speaker SPEAKER_14
transcript.pyannote[3077].start 15109.83846875
transcript.pyannote[3077].end 15144.07784375
transcript.pyannote[3078].speaker SPEAKER_18
transcript.pyannote[3078].start 15144.07784375
transcript.pyannote[3078].end 15144.41534375
transcript.pyannote[3079].speaker SPEAKER_14
transcript.pyannote[3079].start 15144.41534375
transcript.pyannote[3079].end 15167.31471875
transcript.pyannote[3080].speaker SPEAKER_06
transcript.pyannote[3080].start 15167.80409375
transcript.pyannote[3080].end 15192.40784375
transcript.pyannote[3081].speaker SPEAKER_14
transcript.pyannote[3081].start 15192.61034375
transcript.pyannote[3081].end 15238.93221875
transcript.pyannote[3082].speaker SPEAKER_06
transcript.pyannote[3082].start 15239.37096875
transcript.pyannote[3082].end 15249.46221875
transcript.pyannote[3083].speaker SPEAKER_06
transcript.pyannote[3083].start 15250.03596875
transcript.pyannote[3083].end 15258.49034375
transcript.pyannote[3084].speaker SPEAKER_14
transcript.pyannote[3084].start 15256.80284375
transcript.pyannote[3084].end 15257.03909375
transcript.pyannote[3085].speaker SPEAKER_14
transcript.pyannote[3085].start 15258.01784375
transcript.pyannote[3085].end 15302.68596875
transcript.pyannote[3086].speaker SPEAKER_06
transcript.pyannote[3086].start 15302.68596875
transcript.pyannote[3086].end 15306.31409375
transcript.pyannote[3087].speaker SPEAKER_14
transcript.pyannote[3087].start 15304.67721875
transcript.pyannote[3087].end 15305.08221875
transcript.pyannote[3088].speaker SPEAKER_22
transcript.pyannote[3088].start 15306.97221875
transcript.pyannote[3088].end 15325.09596875
transcript.pyannote[3089].speaker SPEAKER_22
transcript.pyannote[3089].start 15325.73721875
transcript.pyannote[3089].end 15326.04096875
transcript.pyannote[3090].speaker SPEAKER_22
transcript.pyannote[3090].start 15326.80034375
transcript.pyannote[3090].end 15344.31659375
transcript.pyannote[3091].speaker SPEAKER_22
transcript.pyannote[3091].start 15344.70471875
transcript.pyannote[3091].end 15355.87596875
transcript.pyannote[3092].speaker SPEAKER_18
transcript.pyannote[3092].start 15363.97596875
transcript.pyannote[3092].end 15364.02659375
transcript.pyannote[3093].speaker SPEAKER_18
transcript.pyannote[3093].start 15365.62971875
transcript.pyannote[3093].end 15366.18659375
transcript.pyannote[3094].speaker SPEAKER_18
transcript.pyannote[3094].start 15366.69284375
transcript.pyannote[3094].end 15366.97971875
transcript.pyannote[3095].speaker SPEAKER_06
transcript.pyannote[3095].start 15380.71596875
transcript.pyannote[3095].end 15382.26846875
transcript.pyannote[3096].speaker SPEAKER_15
transcript.pyannote[3096].start 15382.84221875
transcript.pyannote[3096].end 15384.52971875
transcript.pyannote[3097].speaker SPEAKER_06
transcript.pyannote[3097].start 15385.45784375
transcript.pyannote[3097].end 15385.59284375
transcript.pyannote[3098].speaker SPEAKER_01
transcript.pyannote[3098].start 15385.59284375
transcript.pyannote[3098].end 15386.18346875
transcript.pyannote[3099].speaker SPEAKER_06
transcript.pyannote[3099].start 15386.18346875
transcript.pyannote[3099].end 15386.35221875
transcript.pyannote[3100].speaker SPEAKER_06
transcript.pyannote[3100].start 15386.89221875
transcript.pyannote[3100].end 15388.96784375
transcript.pyannote[3101].speaker SPEAKER_05
transcript.pyannote[3101].start 15388.96784375
transcript.pyannote[3101].end 15390.01409375
transcript.pyannote[3102].speaker SPEAKER_18
transcript.pyannote[3102].start 15397.10159375
transcript.pyannote[3102].end 15397.81034375
transcript.whisperx[0].start 226.041
transcript.whisperx[0].end 228.186
transcript.whisperx[0].text 有限電視與MV123、MV124到華視官網與手機APP投入
transcript.whisperx[1].start 1736.977
transcript.whisperx[1].end 1738.479
transcript.whisperx[1].text 好,請指揮秘書報告出席委員會
transcript.whisperx[2].start 1741.38
transcript.whisperx[2].end 1752.844
transcript.whisperx[2].text 報告委員會出席委員已足法定人數好現在開始開會請議事人員宣讀上次會議議事錄立法院第11屆第1會期財政委員會第3次全體委員會議事錄時間中華民國113年3月13日星期三9時至13時1分中華民國113年3月14日星期四9時至12時46分地點七仙樓九樓大禮堂出席委員林大夫等14人列席委員謝一鳳等16人列席官員
transcript.whisperx[3].start 1770.451
transcript.whisperx[3].end 1778.377
transcript.whisperx[3].text 113年3月13日星期三行政院主計總署主計長朱哲銘、審計部審計長陳瑞銘等113年3月14日星期四中央銀行總裁楊金龍等主席羅昭紀委明財113年3月13日報告事項
transcript.whisperx[4].start 1785.763
transcript.whisperx[4].end 1802.463
transcript.whisperx[4].text 一、宣讀上市會議議事錄決定、議事錄確定二、邀請行政院主計總署朱主計長哲銘、沈基部陳沈計長瑞敏率署署單位主管列席議會報告.並備質詢經行政院主計總署主計長朱哲銘、沈基部沈計長陳瑞敏分別提出報告後
transcript.whisperx[5].start 1803.024
transcript.whisperx[5].end 1821.555
transcript.whisperx[5].text 藉由委員林德福等18人提出質詢均經行政院主計總署主計長朱哲銘、審計部審計長陳瑞銘等予以答覆決定一、報告及詢答完畢二、委員質詢會及答覆或請補充資訊請行政院主計總署及審計部一周內與書面答覆委員另要求期限者從即鎖定通過臨時提案一案
transcript.whisperx[6].start 1822.975
transcript.whisperx[6].end 1850.583
transcript.whisperx[6].text 113年3月14日報告事項邀請中央銀行總裁金融率所屬單位主管暨財經資訊股份有限公司董事長列席業務報告.並備質詢經中央銀行總裁楊金榮提出報告後即由委員林大夫等18人提出質詢均經中央銀行總裁楊金榮等一律答覆決定一、報告及詢答完畢二、委員質詢會及答覆或請補充資訊請中央銀行一周內以書面答覆委員另要求其見者長期鎖定宣傳完畢
transcript.whisperx[7].start 1852.418
transcript.whisperx[7].end 1858.635
transcript.whisperx[7].text 好,我們現場的委員法定人數不足,議事入站不確定,請議事人宣讀今日的議程
transcript.whisperx[8].start 1860.444
transcript.whisperx[8].end 1880.476
transcript.whisperx[8].text 邀請金融監督管理委員會黃主任委員天牧率臺灣證券交易所股份有限公司林董事長修銘及財團法人中華民國證券櫃檯買賣中心陳董事長永誠.中央銀行分別就.從ETF熱賣看政府如何健全投資管道引導民間游資.避免熱錢過度投入房市.進行專題報告.並備質詢
transcript.whisperx[9].start 1882.737
transcript.whisperx[9].end 1910.578
transcript.whisperx[9].text 好先介紹在場委員與官員首先我們介紹資深的我們立法院財政委員會委員吳秉樂部委員金管會主委黃天牧黃主委營養局莊秀元局長政區局副局長高金平保險局局長施瓊華檢察局局長張子昊我們臺灣證券交易股份有限公司總經理簡立中
transcript.whisperx[10].start 1912.421
transcript.whisperx[10].end 1928.968
transcript.whisperx[10].text 以及櫃檯買賣中心董事長陳永誠、總經理李愛玲、央行副總裁嚴忠大勇副總裁好現在今日議程
transcript.whisperx[11].start 1931.304
transcript.whisperx[11].end 1951.571
transcript.whisperx[11].text 我們今日議程安排邀請我們金管會黃天牧主委還有櫃買中心以及我們證交所、中央銀行分別就從ETF熱賣看政府如何健全投資管道引導民間游資.避免熱錢過度投入股市.進行專案報告.並備質詢現在請金管會主委進行專題報告
transcript.whisperx[12].start 1966.747
transcript.whisperx[12].end 1981.161
transcript.whisperx[12].text 主席、各位委員先進今天陳貴委會邀請就ETF熱賣看政府如何健全投資管道引導民間游資避免熱錢過度投入房市進行專案報告
transcript.whisperx[13].start 1982.802
transcript.whisperx[13].end 2008.084
transcript.whisperx[13].text 以下僅就ETF在國內外市場發展概況以及金管會過去所採取的措施進行說明再針對健全投資管道金管會近期推動或規劃的多元化投資商品及制度面措施說明我想跟委員報告因為時間有限我就用摘要的方式做報告
transcript.whisperx[14].start 2010.003
transcript.whisperx[14].end 2037.542
transcript.whisperx[14].text 有關ETF的簡介我就略而不談第二頁ETF的特性它的特性當然就是透明度高因為它的成分股會定期對外揭露它可以分散投資的風險那第二個當然雖然它相對可以分散投資風險並不表示它沒有風險那哪些風險投資人要注意比方市場風險
transcript.whisperx[15].start 2039.505
transcript.whisperx[15].end 2058.933
transcript.whisperx[15].text 交易的折翼價風險、交易不活絡時面臨的流動性風險以及它追蹤指數時可能產生相關的差異的追蹤誤差風險那或者也可能產生一些特定事故發生之後產生的下市至終止上市風險
transcript.whisperx[16].start 2061.274
transcript.whisperx[16].end 2087.416
transcript.whisperx[16].text 那當然ETF是追蹤相關的指數那這種指數的編制原則跟大盤指數不同所以ETF的績效表現也未必跟傳統的大盤指數一致那第二點ETF的這個市場概況請各位翻到第4頁到今年2月底指
transcript.whisperx[17].start 2088.992
transcript.whisperx[17].end 2099.557
transcript.whisperx[17].text 臺灣的ETF市場共有241檔ETF掛牌交易其中227檔是有關證券投資信託的14檔是期貨的合計是4兆1990億元那有關證券投資信託部分有4兆1755億元占整個證投信基金7兆多的58.05%
transcript.whisperx[18].start 2115.338
transcript.whisperx[18].end 2121.071
transcript.whisperx[18].text 這裡大家關心的是投資國內有價證券臺股的ETF大概佔48檔規模1兆5278億元
transcript.whisperx[19].start 2125.765
transcript.whisperx[19].end 2154.619
transcript.whisperx[19].text 那根據證交所的資料顯示到今年1月底為止所有上市櫃48檔臺股所持有的股票的市值占全市場股票市值的2.38那這兩年來ETF的交易的成份股的成交值跟成交股數在整體股市成交值跟股數比例大概就是1左右那如果我們把
transcript.whisperx[20].start 2156.002
transcript.whisperx[20].end 2180.454
transcript.whisperx[20].text 投信基金以股票為主的投信基金的5175億加在這個ETF的以股票為主的ETF合計大概整個佔市值也不過大概3.15左右那亞洲地區來講我們的ETF的規模是第三成交值是第五接下來我跟各位報告其實在過去這幾年來
transcript.whisperx[21].start 2182.981
transcript.whisperx[21].end 2199.701
transcript.whisperx[21].text 以臺股為標題的ETF包括債券ETF都是不斷地在成長但金管會對於ETF的監理不是只有現在我們過去這數年來其實已經不斷地在關注這個市場在採取相關的措施
transcript.whisperx[22].start 2200.987
transcript.whisperx[22].end 2225.306
transcript.whisperx[22].text 那當然近期內的熱絡的現象我們也會從投資教育宣導強化配息資訊揭露跟參考國際監理趨勢及辦理專案檢查來加強各類的措施這裡簡單的跟各位委員報告那投資人層面部分一定要非常落實認識客戶跟認識商品
transcript.whisperx[23].start 2227.812
transcript.whisperx[23].end 2242.485
transcript.whisperx[23].text 當然尤其投資人在初級市場申購ETF必須要做好前面這些KYP跟KYC的工作尤其在文宣上面公會有相關的會員及其銷售機構從事廣告營業活動的規範
transcript.whisperx[24].start 2246.577
transcript.whisperx[24].end 2269.464
transcript.whisperx[24].text 交易宣導部分我們在去年11月7日就已經喊請交易所購買中心跟工會要強化ETF投資觀念的宣導尤其要透過新型態的媒體管道來提升對於年輕族群宣導的觸及率也請工會抽合廣告內容的妥適性
transcript.whisperx[25].start 2271.004
transcript.whisperx[25].end 2291.625
transcript.whisperx[25].text 提醒業者要遵循廣告的規範不希望投資人誤解商品另外也請證交所要建置投資常用的參考資料的單一查詢入口我們也會定期發布新聞稿提醒投資人第七頁至於說最近
transcript.whisperx[26].start 2292.506
transcript.whisperx[26].end 2314.833
transcript.whisperx[26].text 因為很多投信所推出的配息的ETF這個配息有相關來自評準金的或是對於配息的相關的資訊有不夠清楚的我們有採取相關的措施我們除了請投信公會加強查核ETF配息的廣告外
transcript.whisperx[27].start 2316.235
transcript.whisperx[27].end 2339.371
transcript.whisperx[27].text 並且在今年的1月15號請工會修正了配息的相關廣告規範包括不得以月配息為廣告或銷售的主要訴求不應以年化配息率為廣告的內容如果配息是來自收益本評準金的資訊揭露應該要加注
transcript.whisperx[28].start 2340.481
transcript.whisperx[28].end 2366.339
transcript.whisperx[28].text 基金的配息來源可能為收益評準金的僅餘每日在公司網站公布禁止的組成項目以及在公司網站建置收益評準金專區及參考事例我們也會加強配型型ETF的審查跟加強ETF的資訊介入以及訂定收益評準金的分配原則
transcript.whisperx[29].start 2368.271
transcript.whisperx[29].end 2382.166
transcript.whisperx[29].text 第9頁,我們也在最近這5年有將ETF列入年度檢查重點今年1月,也曾經對幾家承作量較大的投信公司辦理專案檢查
transcript.whisperx[30].start 2384.346
transcript.whisperx[30].end 2410.407
transcript.whisperx[30].text 包括下面這些銷售募集、配息政策、評準金使用原則等等那我們也看到了在這幾家比較大型的投信公司的缺失往往也看到了它在廣告型銷警語上沒有以顯著方式介入或者對於指數的追蹤方面、列管方面有可以再改進的地方另外
transcript.whisperx[31].start 2411.212
transcript.whisperx[31].end 2438.863
transcript.whisperx[31].text 金管會在今年的2月底也發布新聞稿參考了國際證券管理機構組織對於ETF全球的管理規範的一個指引訂立了相關的措施包括產品結構面的管理包括資訊介入包括流動性提供第10頁目前規劃的強化管理措施包括
transcript.whisperx[32].start 2440.455
transcript.whisperx[32].end 2455.544
transcript.whisperx[32].text 我們在日常的監理跟檢查發現投信公司跟網紅的合作上面有需要加強的地方因為發覺投信透過網紅從媒體從事基金的付費置入性行銷廣告
transcript.whisperx[33].start 2458.22
transcript.whisperx[33].end 2478.019
transcript.whisperx[33].text 跟工會的廣告規範上面是不是有不同這部分要求進一步的去規範所以我們已經在年初請工會去修正廣告規範增訂相關的自律規範原則上會在今年6月底前完成
transcript.whisperx[34].start 2479.619
transcript.whisperx[34].end 2502.43
transcript.whisperx[34].text 另外我們也非常關心國際間對於尤其是國際證券管理機構對於財經網紅的國際監理的規範我們會密切注意國際的規範適時納入第二點大家關心的ETF是不是會成份股過度雷同有所謂集中度風險的問題
transcript.whisperx[35].start 2504.321
transcript.whisperx[35].end 2522.015
transcript.whisperx[35].text 所以為了要掌握ETF投資規模帶來的相關風險我們已經在今年1月初喊請交易所購買中心督導投信事業要針對規模較大的ETF管控相關的投資風險以及研擬相關的風險抵禦力機制
transcript.whisperx[36].start 2525.785
transcript.whisperx[36].end 2554.337
transcript.whisperx[36].text 也請兩個交易所要評估市場面臨的交易風險以及嚴厲適度的強化風險控管的措施我們也請交易所要掌控個別股票ETF對個別股票持有的狀況作為將來指數審查的參考並且要建立整個市場的資料庫來定期監控當然最重要一點除了
transcript.whisperx[37].start 2555.785
transcript.whisperx[37].end 2568.953
transcript.whisperx[37].text 除了這個日常的監理之外我們今年也會以這個投信的ETF作為我們金融檢查的重點那麼這些重點就包括我們過去看到的缺失跟現在大家關心的議題
transcript.whisperx[38].start 2571.434
transcript.whisperx[38].end 2600.513
transcript.whisperx[38].text 至於說今天這個主題中有關如何推動多元化的投資商品我想第一點也非常感謝行政院在上禮拜通過了不動產證券投信投顧法我們會將不動產投資信託基金所謂REITs以基金方式發行而報送到大院來審核那這樣一個商品其實是可以提供國人新的一個投資的管道
transcript.whisperx[39].start 2602.264
transcript.whisperx[39].end 2625.389
transcript.whisperx[39].text 另外我們也在規劃多重資產型跟主動型的ETF那是另外一種形式的ETF如果配套措施完備也可以提供國人另外一個投資管道另外我們也有交易所跟櫃買中心都有創新版的設置櫃買中心也有永續債券商品的投資
transcript.whisperx[40].start 2627.591
transcript.whisperx[40].end 2647.427
transcript.whisperx[40].text 第15頁我們也放寬了銀行辦理高資產客戶適用的相關的規定到今年1月底已經有近7400人他的規模大概在8800億是屬於高資產的客戶那證券商部分擁有857個人交易金額是1500億左右
transcript.whisperx[41].start 2650.376
transcript.whisperx[41].end 2676.451
transcript.whisperx[41].text 我們會繼續精進法規尤其是延攬國際間辦理財富管理有經驗的機構加入這個市場在第17頁證券商財富管理信託服務部分目前正在積極研擬中另外我們也鼓勵券商辦理客戶定期定額方式購買股票跟ETF我到113年2月抵止也有155萬人在做這樣的一個投資
transcript.whisperx[42].start 2681.328
transcript.whisperx[42].end 2683.329
transcript.whisperx[42].text 提供國人一個更多投資管道的選擇
transcript.whisperx[43].start 2710.865
transcript.whisperx[43].end 2725.808
transcript.whisperx[43].text 另外我們為了推動普惠金融也精進盤中領股交易制度去年11月我們的資訊揭露時間縮短成5秒那到今年12月我們會把整個交易的時間也縮短成5秒
transcript.whisperx[44].start 2727.932
transcript.whisperx[44].end 2742.861
transcript.whisperx[44].text 另外大家關心的是臺股是不是只有大型權值股是佔整個的這個交易或市值的主流那我們也從2021年開始推動優質股票造勢制度
transcript.whisperx[45].start 2744.239
transcript.whisperx[45].end 2769.478
transcript.whisperx[45].text 這部分績效在20月各位可以參考另外我們也推動國人退休準備平臺我想結語是ETF是一個可以使投資人以有限資金投資一燃子股票跟債券適合長期持有有助於吸引更多投資人進入市場而且全球各國對ETF的推動也都是非常的積極
transcript.whisperx[46].start 2770.899
transcript.whisperx[46].end 2799.673
transcript.whisperx[46].text 那這個商品基本上我想對國人投資理財是正面的重點是我們怎麼適度的監理提醒民眾瞭解ETF的風險也在行銷過程中投資人不至於被不當的行銷管道所誤導我想這是我們要繼續努力的以上報告 謝謝好 謝謝黃主委的報告我想我們在場的這個法定人數已經足夠我想先確認一下這個意思現場有沒有什麼意見
transcript.whisperx[47].start 2801.428
transcript.whisperx[47].end 2808.091
transcript.whisperx[47].text 主席各位委員今天呈邀前來貴委員會專題報告自感榮幸以下請就本行業務相關部分提出報告
transcript.whisperx[48].start 2828.223
transcript.whisperx[48].end 2831.287
transcript.whisperx[48].text 第一節我們要說明是由於臺灣的長期淨產站順暢與超額儲蓄以致國內資金充足
transcript.whisperx[49].start 2837.216
transcript.whisperx[49].end 2862.108
transcript.whisperx[49].text 第一點,臺灣的經濟成長動能高度仰賴國外需求也造成了我們長期的金殘障順差第二點,金殘障順差反映國內的超額儲蓄臺灣超額儲蓄的累積也使得國內資金充裕各位在圖一可以明顯的看到我們的金殘障特別是自109年以來金殘障順差的規模金額才持續在增加
transcript.whisperx[50].start 2863.561
transcript.whisperx[50].end 2883.104
transcript.whisperx[50].text 第三點 臺灣的國民儲蓄率遠大於國內投資率近10年超過儲蓄率都持續超過10%我們看到下一頁的圖二第二節我們想說明的是本行採取措施來沖消餘裕資金並持續在公開市場上操作
transcript.whisperx[51].start 2884.025
transcript.whisperx[51].end 2899.252
transcript.whisperx[51].text 第一點,國內銀行資金充裕本行進行公開市場操作來調節金融由於資金充裕銀行並無向本行申請隆通資金的需求為回收銀行體系餘裕資金
transcript.whisperx[52].start 2900.473
transcript.whisperx[52].end 2928.568
transcript.whisperx[52].text 本行持續發行各種天期的長期定存單來沖銷資金在資金寬鬆的時候我們透過發行定存單來回收餘裕資金那第三點我們想說明的是在本行沖銷市場資金之下銀行的資金維持在一個妥適的水準除了公開市場操作之外本行的操作工具還有包括了存款準備金制度與銀行轉存款
transcript.whisperx[53].start 2929.878
transcript.whisperx[53].end 2934.031
transcript.whisperx[53].text 截至去年底各項操作工具的沖銷金額達到12.9兆元
transcript.whisperx[54].start 2937.554
transcript.whisperx[54].end 2960.993
transcript.whisperx[54].text 第三點我們想說明的是銀行存款資金的運用有它的限制性銀行實務運作上常常需要持有超額準備過去外界多將銀行存放款的差額視為或簡化為爛頭寸這種看法實際上與銀行實務有所差距的請大家翻到下一頁
transcript.whisperx[55].start 2962.054
transcript.whisperx[55].end 2985.843
transcript.whisperx[55].text 我們這邊用一個去年底的本國銀行資料為說明銀行存款的資金高達54.9兆那扣除法定資金用途以後銀行可以運用的資金為42.14兆元那其中用於放款、金融投資剩下來的超額準備大概只有0.01兆相當於100億左右銀行
transcript.whisperx[56].start 2990.485
transcript.whisperx[56].end 3004.529
transcript.whisperx[56].text 銀行資金除了用於購買金融性資產收取獲利之外它也會因應不確定因素而保有不具收益性的超額準備各位可以看一下圖山我們列示臺灣的那個
transcript.whisperx[57].start 3007.09
transcript.whisperx[57].end 3007.13
transcript.whisperx[57].text 第5頁說明
transcript.whisperx[58].start 3030.161
transcript.whisperx[58].end 3055.08
transcript.whisperx[58].text 本函實行選擇性信用管制措施.落實信用資源有效分配配合行政院的健全房市市場方案本函五度調整選擇性信用管制措施.避免過多信用資源流向不動產市場此外本函的升息與調升存款準備率政策.亦有助於強化選擇性信用管制的成效
transcript.whisperx[59].start 3056.837
transcript.whisperx[59].end 3072.855
transcript.whisperx[59].text 第二點我們要說明是為緩緩熱錢流入房市的投機炒作相關部會已陸續提出相關的改善措施有助於抑制國內的不動產炒作及囤屋現象請大家翻到下一頁
transcript.whisperx[60].start 3075.25
transcript.whisperx[60].end 3089.88
transcript.whisperx[60].text 第4節我們想說明的是一善用超額儲蓄資金投入國內國內外的實體投資以促進經濟平衡發展這裡我們列出以下三點面向建議提供大家參考
transcript.whisperx[61].start 3090.799
transcript.whisperx[61].end 3109.789
transcript.whisperx[61].text 第一點 增強民間部門參與公共建設的量能並同時為因應少子化、高齡化的趨勢以及淨零排碳的目標推動相關的基礎建設第二點 為因應家庭部門的儲蓄率高可以引導民間資金投入金融服務業及財富管理業務
transcript.whisperx[62].start 3111.01
transcript.whisperx[62].end 3137.632
transcript.whisperx[62].text 第三點,善用超額儲蓄進行跨國併購.以取得關鍵技術及戰略性資源.並協助產商全球布局.鞏固其全球價值鏈的地位最後在結語的部分,我們想說的是.未來本行將繼續持續運用各種貨幣政策操作工具.促進國內信用資源有效配置.降低金融市場及不動產市場的風險以上報告,請各位委員指教,謝謝
transcript.whisperx[63].start 3138.593
transcript.whisperx[63].end 3160.901
transcript.whisperx[63].text 好 謝謝嚴副總裁我們現在開始進行詢答先做一下的宣告每位出席委員發言時間為8分鐘必要時間延長2分鐘每位列席委員發言時間為5分鐘必要時延長為1分鐘今天上午10點半為止結旨發言登記現在依照登記的順序請登記第一位林德福委員質詢
transcript.whisperx[64].start 3168.979
transcript.whisperx[64].end 3172.982
transcript.whisperx[64].text 為了買高股息的ETF
transcript.whisperx[65].start 3193.442
transcript.whisperx[65].end 3211.287
transcript.whisperx[65].text 有很多人賣房子賣房金來搶ETF連銀行定存都被民眾大幅度的來解約來轉進那我請問主委網紅話術是不是造成亂象的一個主因您的看法呢我跟委員報告
transcript.whisperx[66].start 3213.061
transcript.whisperx[66].end 3223.477
transcript.whisperx[66].text 金柏林最近這一檔我們的檢察局在今年年初針對幾家大型投信他們做ETF投資的這個行銷發覺這是一個因素
transcript.whisperx[67].start 3226.487
transcript.whisperx[67].end 3250.185
transcript.whisperx[67].text 發覺怎麼樣?發覺這個投信公司跟網紅之間他是有一些商業上的連結但是網紅他並沒有去揭露他跟投信之間的關係有置入性行銷的這樣子的味道所以我不敢說是全部的因素但是網紅因為他有社會的一個某種程度的公信力他是有影響力的我覺得這可能是因素之一
transcript.whisperx[68].start 3252.385
transcript.whisperx[68].end 3266.263
transcript.whisperx[68].text 主委就您的了解國內銀行定存利率最高是多少2點多那你認為股票配息會不會比定存好
transcript.whisperx[69].start 3268.564
transcript.whisperx[69].end 3295.507
transcript.whisperx[69].text 要看買什麼股票不一定股票也有漲有跌因為月配息性質的ETF縱使金管會解釋說收益平準金的機制期待亂象降溫但是ETF難道不是與股票連動這個同步高低起伏嗎ETF如果是債券的話它當然有定期有配息股票其實是股利啦
transcript.whisperx[70].start 3296.192
transcript.whisperx[70].end 3320.971
transcript.whisperx[70].text 那這個席這個字在用字上是有一點廣闊性的做法那當同時你配席越頻繁其實中間公司應該要讓投資人知道它的成本因為你配席有一些作業成本好 那我請問ETF是不是因為越配席而導致淨值折價乘5折的市價呢
transcript.whisperx[71].start 3323.351
transcript.whisperx[71].end 3337.425
transcript.whisperx[71].text 報告委員我個人比較努動不太領導您的意思不過當然國人是比較喜歡這種定期能夠拿到一些配息的這種要是不是的話那難道不是比買股票還要好嗎
transcript.whisperx[72].start 3339.861
transcript.whisperx[72].end 3355.422
transcript.whisperx[72].text 可是你的ETF是不是一定能夠你的成分股是不是一定都能夠上漲或能夠產生足夠的股利或是利息這個恐怕要看成分股的整個的漲跌才能夠決定ETF的整個的走勢
transcript.whisperx[73].start 3356.611
transcript.whisperx[73].end 3384.283
transcript.whisperx[73].text 因為買股票會因為股價起伏的行情造成高買低賣而且恐怕連配息都無望反之啊如果月配息的ETF會折價五折那請問那些被選定這些優質成分股難道不是也會呈現崩跌的這種狀況嗎其實我跟您報告您剛剛指示的就好像
transcript.whisperx[74].start 3385.458
transcript.whisperx[74].end 3407.127
transcript.whisperx[74].text 我們的基金也有很多宣示說這個基金有配息可是他會說他告訴你的這個績效也許是過去的績效但並不表示過去的績效會保證是未來的績效這個在基金的資訊上都有去揭露的我想ETF同樣也是如此並沒有說過去的績效可以保證未來的績效那更不用
transcript.whisperx[75].start 3408.889
transcript.whisperx[75].end 3434.151
transcript.whisperx[75].text 說能夠有配息的這些機會主委事實上金管會要求網紅在行銷合規投信廣告行銷自律本席都覺得有其必要但比較金融商品的獲利差異化讓客戶自由選擇合一的商品來投資難道完全不行嗎
transcript.whisperx[76].start 3436.37
transcript.whisperx[76].end 3445.143
transcript.whisperx[76].text 我們的立場跟委員是一致的各種金融商品是中性的但它有它的風險屬性重點是金融機構要把適合
transcript.whisperx[77].start 3446.451
transcript.whisperx[77].end 3472.41
transcript.whisperx[77].text 投資人風險屬性的商品賣給投資人而不要誤導投資人我覺得這是重點我請請教齁四大基金到底有沒有買ETF有沒有我我不瞭解因為我沒有管四大基金因為這個應該要去了解一下請問主委你認為買上市櫃的股票能夠引進這個平準金的機制嗎
transcript.whisperx[78].start 3475.151
transcript.whisperx[78].end 3496.323
transcript.whisperx[78].text 股票沒有什麼平準金的價值只有ETF創造了一個平準金的價值如果可以本席相信股票流通性應該也會像高息的ETF一樣活絡只是有可能嗎如果不可以那麼高息的ETF的風險難道不會比股票
transcript.whisperx[79].start 3497.759
transcript.whisperx[79].end 3498.68
transcript.whisperx[79].text 金管會預估2024年台股日均量約有差不多3000億
transcript.whisperx[80].start 3528.016
transcript.whisperx[80].end 3537.883
transcript.whisperx[80].text 今年過了兩個月臺股成交量似乎看起來是越來越熱那你認為有沒有股市特定族群這些類股過熱的情形狀況
transcript.whisperx[81].start 3540.595
transcript.whisperx[81].end 3561.332
transcript.whisperx[81].text 大委員我們現在今年從年初到現在臺股每天的交易量平均是3700多億比去年同期大概提高了百分之好像去年2000提高百分之60左右我記得對不對是6成左右所以是有交易量是有大幅提高是
transcript.whisperx[82].start 3562.032
transcript.whisperx[82].end 3586.488
transcript.whisperx[82].text 據瞭解臺灣ETF在1月規模破4兆元一年內增加差不多1.5兆近期元大投信發行的月月配息ETF更是民眾大家一窩蜂的去瘋搶那請問主委對於近期發行的ETF的申請狀況你認為到底有沒有異常的現象
transcript.whisperx[83].start 3588.035
transcript.whisperx[83].end 3612.692
transcript.whisperx[83].text 報告委員最近就有兩檔那前面兩檔有一檔是金控有一檔是非金控那現在加上元大這一檔那我想因為這一檔上禮拜才募集告一段落那4月1號才要掛牌那我想我們會再瞭解這一檔有什麼特別的一些大家關心的問題那其他部分我想
transcript.whisperx[84].start 3613.755
transcript.whisperx[84].end 3633.674
transcript.whisperx[84].text 今年我們的檢查也會把投信的ETF的發行銷售作為檢查的重點那個主委對ETF是不是目前台股量能的主力你說必須細部的去分析但是主委你說ETF是追蹤指數被動型的一個投資
transcript.whisperx[85].start 3635.518
transcript.whisperx[85].end 3655.147
transcript.whisperx[85].text 或許穩健商品但是如果籌碼雜亂也就是散戶買、中時戶買、大戶也買甚至於外資熱錢都進來也參與一咖請問主委穩健的ETF到底有沒有變成風險金融商品的可能
transcript.whisperx[86].start 3656.327
transcript.whisperx[86].end 3685.248
transcript.whisperx[86].text 會不會是委員您關心的重點非常非常重要謝謝您不過我們在報告第5頁上面有提到過整個的以臺股為標題的ETF的成交值跟股數占整個臺股只不過1%左右所以其實這個1其實基本上它的影響是可以被管理的是不大的這樣喔對ETF規模成長快速到底是正常的現象還是異常的現象依您看勒
transcript.whisperx[87].start 3686.943
transcript.whisperx[87].end 3712.844
transcript.whisperx[87].text 我們的規模其實跟其他國家比是沒有那麼大但是我們近年的成長比率是比較高那我想這個部分有一部分因為可能國人對於未來這個理財的需求那另外其他國家的ETF比較不太常見像我們國人這種配息每月配息、季配息那這個部分可能是國人的
transcript.whisperx[88].start 3714.125
transcript.whisperx[88].end 3721.072
transcript.whisperx[88].text 比較習慣喜歡的商品所以可能投核了國人的習性所以得到大家的喜好
transcript.whisperx[89].start 3721.772
transcript.whisperx[89].end 3749.15
transcript.whisperx[89].text 因為從臺股ETF規模持續攀升至1兆5278億元以及最近的申購熱潮似乎有互制民國78年股市第一次上萬點和尚尼姑都進場的這種態勢也難怪央行總裁楊總裁對ETF申購熱提出羊群效應的示警
transcript.whisperx[90].start 3749.77
transcript.whisperx[90].end 3759.242
transcript.whisperx[90].text 那根據政期局主秘表示啊ETF指數沉混股實際這個實際上是重目新高
transcript.whisperx[91].start 3760.952
transcript.whisperx[91].end 3781.501
transcript.whisperx[91].text 當ETF檔數越來越多那成分股集中度集中度過高就是一大風險再加上金管會最擔心投資人實際上並不了解商品本質以及特性就殺出來投資甚至於出現信貸去借來申購
transcript.whisperx[92].start 3785.463
transcript.whisperx[92].end 3805.841
transcript.whisperx[92].text 等等相對不理性的投資行為請問主委金管會對ETF的三大面向六大監理措施對於投資人恐怕如同灰而撲火一樣來申購ETF的行為能不能發揮冷靜踩煞車的效應您有什麼看法
transcript.whisperx[93].start 3806.542
transcript.whisperx[93].end 3825.484
transcript.whisperx[93].text 我覺得我們的架構措施不是現在才做我們從去年年底就開始做我覺得我們對於怎麼樣讓投資人正確了解ETF的風險跟特質以及在行銷過程中不要誤導投資人去做了不正確的選擇這是我們努力的方向最後一點
transcript.whisperx[94].start 3828.28
transcript.whisperx[94].end 3846.542
transcript.whisperx[94].text 雖然監理措施主委表示並不是認為ETF對臺股成交量可能有負面的影響所以說才出手但是本席希望不會發生像10多年前購買林董債商品的這個憾事而且去年年初開始明華
transcript.whisperx[95].start 3847.743
transcript.whisperx[95].end 3872.761
transcript.whisperx[95].text 這個修改18歲的成年本席是希望金管會能夠提供並創造健全的投資環境給這些剛成年的青少年因為我最近有聽到很多他們都在談就在談ETF那不要進入了成年就面臨充滿險惡的這些投資環境猶如吸金詐騙一樣主委你認為金管會是不是應該要有這樣的一份擔當
transcript.whisperx[96].start 3873.962
transcript.whisperx[96].end 3878.364
transcript.whisperx[96].text 委員這就是我們要做的謝謝您提醒我們好謝謝謝謝林鄭夫委員質詢接著我們請吳秉瑞委員質詢主席麻煩請金管會黃主委有請黃主委
transcript.whisperx[97].start 3902.583
transcript.whisperx[97].end 3930.952
transcript.whisperx[97].text 委員長這位早齁這個跟你請教最近這個ETF它熱銷的原因你覺得主要是什麼我們的業者他知道國人喜歡這種配息的或是越配息的所以用這種商品來吸引投資人那中間加上一些行銷上我認為至少從檢查結果看出來行銷上的一些手法跟工會的廣告規範是有差異的
transcript.whisperx[98].start 3931.832
transcript.whisperx[98].end 3951.214
transcript.whisperx[98].text 那國人也不見得完全清楚他買的ETF的性質因為很多績效是過去的不見得代表未來那發行ETF是特定的這一些投信公司嘛證券投信公司所以加速並不是很多啊如果你要加強管理應該不是很困難
transcript.whisperx[99].start 3952.492
transcript.whisperx[99].end 3963.96
transcript.whisperx[99].text 是那剛剛有提到說用高股息這樣子的名稱基本上他如果用這樣的名稱就已經有誤導的成分在裡面了
transcript.whisperx[100].start 3965.547
transcript.whisperx[100].end 3989.785
transcript.whisperx[100].text 會不會有這樣的感覺代委員其實我深有同感而且不只是這個商品委員您記不記得儲蓄型的保單也是去跟定存去比那現在這個投信的配息也是跟定存比我認為非常不當因為中文上面的這個高股息它本身就有一定的評價以這個為標的然後在這邊宣傳高股息不知道人一聽就說這個獲利很好
transcript.whisperx[101].start 3992.287
transcript.whisperx[101].end 4017.761
transcript.whisperx[101].text 他就是會去誤會了說投資有賺有賠常常在看的那個警語再來就是如果發行的量很大那成分股又很集中因為臺灣的股市現在大部分的成交都全職也大部分都在電子類股那這個會不會高度集中他將來會造成助長助諜這樣的狀況
transcript.whisperx[102].start 4020.145
transcript.whisperx[102].end 4041.406
transcript.whisperx[102].text 因為大家都一窩蜂嘛ETF也一窩蜂結果買的時候大家就都買同樣的股的成分股所以那些被選定為成分股的股票就漂漂漂一直漲嘛那這就是會變成一窩蜂的這個這個超大家集中然後說就超漲但是如果再變成熊市的時候
transcript.whisperx[103].start 4043.718
transcript.whisperx[103].end 4055.23
transcript.whisperx[103].text 一直跌的時候那ETF為了人家要贖回啦為了要發股息等等他又跌賣所以是會變成超漲超跌的狀況你不覺得有可能有這樣的狀況嗎就股票市場而言
transcript.whisperx[104].start 4056.175
transcript.whisperx[104].end 4084.039
transcript.whisperx[104].text 委員其實您是專家啦我講先從後面的先講你剛才講到那個如果股票漲跌會有贖回的那就是所謂的流動性的風險這部分在我們2月底的發布的參考國際組織所規範其實也就這個部分有做琢磨那另外也跟您報告目前整個的ETF48檔大概它涵蓋了成分股402家上市公司所以像是廣的但其中在
transcript.whisperx[105].start 4085.168
transcript.whisperx[105].end 4108.184
transcript.whisperx[105].text 某一個上市公司超過一定比例的其實基本上都還有分散不過我們不能說以此就覺得不需要去注意我們還是要特別注意所以我們在報告中有提到請周邊單位要建立一個相關的整個市場面的監管機制現在的股票是OTC加進來加證交所總共多少張股票
transcript.whisperx[106].start 4109.773
transcript.whisperx[106].end 4127.324
transcript.whisperx[106].text 一千八百多檔一千八百多檔裡面ETF只有選擇裡面的400多檔402檔402檔我認為這樣還是集中當然因為有很多的股票它本身的交易量不大你所謂的流動性的風險對於ETF購買的股票對象本身比較不會為什麼因為它都選擇這個市場上
transcript.whisperx[107].start 4130.026
transcript.whisperx[107].end 4156.551
transcript.whisperx[107].text 交易比較熱絡的都會去投嘛如果你這個ETF是專門投那些冷門股的我想投資人如果了解一點的大概比較沒有興趣了因為它平常的交易量很低它將來如果要變現的時候要賣的時候流落性風險我講的是高度集中它反而有另外一種效果助漲助跌漲的時候本來假設它本來正常來講應該是漲50%因為大家高度投入一直投入的結果它漲了不止50%
transcript.whisperx[108].start 4157.971
transcript.whisperx[108].end 4178.948
transcript.whisperx[108].text 疊的時候看壞的時候也會有這樣的狀況喔因為大家都賣然後他也加重賣壓所以要注意會有這樣子的風險存在有 先為委員提醒這也是為什麼我們要建立一個全市場的監視機制那當然因為ETF的成分股是完全透明的啦是他要做多做空其實是互相有抵銷的力量了解
transcript.whisperx[109].start 4179.528
transcript.whisperx[109].end 4208.488
transcript.whisperx[109].text 另外你要記得以前曾經發生弊案是什麼樣的弊案政府的基金在選股上跟人家勾結產生ETF的發行有沒有會跟股票上市公司的管理階層這樣子選股上面變成他的成本裡面這裡面的這個選股的機制會不會也有大有文章的可能性我認為您的您的確非常專業其實這也是我們要注意的地方感謝提醒
transcript.whisperx[110].start 4208.868
transcript.whisperx[110].end 4227.228
transcript.whisperx[110].text 那你的報告第8月我今天早上很認真給你讀了你說第8月的第二點說你們今晚會加強ETF的審查包括配息政策是否適當那倒過來就想請教你什麼樣子的配息政策會被你認為不適當有沒有什麼樣的案例
transcript.whisperx[111].start 4228.888
transcript.whisperx[111].end 4247.961
transcript.whisperx[111].text 我覺得我待會也許肯政經局大審過的人來說明好沒關係可以來補充說明那個我的了解大概就是你的配息不得誇大不實那還有要跟沒有沒有這個是配息政策喔不是配息的廣告喔對政策是指我這一檔發行的時候
transcript.whisperx[112].start 4248.621
transcript.whisperx[112].end 4265.62
transcript.whisperx[112].text 我就已經決定我將來是用什麼方式來配這個席包括是月配或是季配或是年配或是配的時候是要拿我得到的這個股息還是我要賣股票來配這個才是配席政策我請那個高副局長來補充
transcript.whisperx[113].start 4270.943
transcript.whisperx[113].end 4296.691
transcript.whisperx[113].text 主要我們審大概會去考慮一下他配息主要的來源是哪裡然後配息的頻率那是不是跟他確實成分股比如說配息他所謂可以領到的息然後可以去支付類似這樣子的看能不能配比以上配比所以目前還沒有出現過你們認為不適當的案例嗎審查沒有通過是因為他的配息政策你們認為是不適當的有沒有這樣的案例
transcript.whisperx[114].start 4297.831
transcript.whisperx[114].end 4323.28
transcript.whisperx[114].text 我們都會叫他說明那如果說明OK的話我們才會放行這樣的ETF發行所以你這個話在這邊講出去之後就是將來的配息如果出現問題你就要負責任了台灣的市場就是這樣賺到錢很少人會感謝政府但是賠錢所有人都怪政府主委我要提醒你臉書上面已經出現00940的自救會了你知道嗎
transcript.whisperx[115].start 4324.056
transcript.whisperx[115].end 4351.152
transcript.whisperx[115].text 而且參加的會員有兩萬一千人還沒有上市去買股票他已經公開宣稱袁大發撿這個00940將來如果跌破變額他們就要集體上街抗議現在還沒有買股票他就已經做這樣的宣稱了所以我是覺得兩萬一千人目前是少如果真的賠錢參加的人會更多所以這個點不知道你的看法是怎麼樣
transcript.whisperx[116].start 4352.549
transcript.whisperx[116].end 4371.619
transcript.whisperx[116].text 剛才副局長跟您報告就是審查他的配息那基本上還是要透過市場的檢視只是確定他有沒有過度的不能夠自圓其說至少要一個理由一個邏輯的理路了那至於說漲跌誰能管這個市場趨勢不是任何人能夠預估的
transcript.whisperx[117].start 4372.319
transcript.whisperx[117].end 4398.775
transcript.whisperx[117].text 但是我剛剛就是跟你提醒說臉書上面Facebook上面已經出現00940的自救會的社團而且現在參加的會員已經有兩萬一千人了然後他公開宣稱00940將來上市之後如果跌破10元的面額他就要發起抗議那面對這個你要如何對社會大眾說明那這個臉書出現這樣的社團你有什麼樣的想法你可不可以跟我們大家說明一下
transcript.whisperx[118].start 4400.305
transcript.whisperx[118].end 4428.125
transcript.whisperx[118].text 其實任何的商品都要充分的資訊介入那至於說成立這個社團我想我沒有特別的評論我想這是發行公司自己本身也要特別去注意怎麼樣去跟投資人充分的溝通不過但是主委他抗議對象不會是只有元大這個如果規模夠大抗議起來是整個社會動盪不是元大一間公司所以我的意思是說投資有賺有賠
transcript.whisperx[119].start 4430.14
transcript.whisperx[119].end 4446.135
transcript.whisperx[119].text 充分的揭露這個都是該說明的大概大家都知道的原理問題是面對錢大家不這麼理性面對錢賺錢是應該的賠錢就是你們害我的一般人有的人會有這樣的想法那這個
transcript.whisperx[120].start 4447.304
transcript.whisperx[120].end 4473.982
transcript.whisperx[120].text 我覺得這件事情如果沒有妥善處理沒有事先趕快想辦法更多的揭露請元大公司還有請這所有的這個要發行ETF的公司去重視這個要如何處理的話萬一將來有什麼散失會引起社會另外一波的不安我擔心的是這個我想這一點我想元大我的同仁應該也有多提醒元大我們也會特別注意謝謝對 那
transcript.whisperx[121].start 4475.697
transcript.whisperx[121].end 4496.045
transcript.whisperx[121].text 我的意思是說這個不是只有元大的事今天00940會出現改天就會有00941、00942反正將來的媒體、黨標地都會這樣子這也是一種社會壓力但是這種壓力明顯的不當啊因為你還沒有投資在市場那天下還有哪一個市場是保證賺不賠的
transcript.whisperx[122].start 4497.614
transcript.whisperx[122].end 4517.346
transcript.whisperx[122].text 所以我是覺得為這樣的心態感到很憂慮如何讓這樣的心態能夠有比較正常比較健康的想法是我們大家要努力的目標是 了解 謝謝委員那加油來我看到你們的報告其實寫得很完整還是可以繼續努力裡面要繼續落實好不好謝謝 謝謝謝謝吳秉銘委員的質詢接著我們請李彥秀委員質詢
transcript.whisperx[123].start 4528.683
transcript.whisperx[123].end 4532.406
transcript.whisperx[123].text 感謝交委我可不可以請主委有請黃主委主委好辛苦了主委我還是要問一下這兩天在週末時間我們看到重大新聞包括星光人壽增資的問題我們看到星光人壽在這個週末之後最後決定再加碼125億撥補進來顯然的
transcript.whisperx[124].start 4558.527
transcript.whisperx[124].end 4566.212
transcript.whisperx[124].text 看到主委之怒之後從原來的年初的首季撥補70億之後星光金撥補70億之後我們又看到這個再加碼125億主委你對於這個總共195億撥補進來星光金你覺得滿意嗎這個數字你滿意嗎
transcript.whisperx[125].start 4582.117
transcript.whisperx[125].end 4598.502
transcript.whisperx[125].text 縣委委員我想我沒有震怒我有約談但是沒有生氣那我覺得顯然這個主委的提醒顯然是發揮作用對不對報委員我在1月30號新春記者會就已經提醒
transcript.whisperx[126].start 4600.37
transcript.whisperx[126].end 4621.407
transcript.whisperx[126].text 改革團隊進入星光監控對星光監控資本的缺口主要股東要負主要的責任兩個禮拜前我在財委會也特別說6月底RBC到200是我的目標所以他們要達到這個目標主委那你覺得6月RBC他有沒有辦法達到200法定的200你現在他增資就算他上禮拜通過了125億增資還是沒辦法達到
transcript.whisperx[127].start 4625.071
transcript.whisperx[127].end 4653.75
transcript.whisperx[127].text 所以你覺得6月你覺得他有可能達得到你的目標嗎你要求的目標我們還會繼續要求你還會繼續要求是還有其他具體的做法工具嗎我們會繼續要求或者是針對新光晶後續的體質改善你有沒有想法體質改善是改革團隊自己要去做的事情你有沒有什麼樣的建議我覺得我的想法很簡單3月4號在財委會跟各位委員報告就是RBC6月抵達到200其他免談
transcript.whisperx[128].start 4654.926
transcript.whisperx[128].end 4679.27
transcript.whisperx[128].text 好 謝謝主委的回應我們看到主委的說法我想新光晶應該會聽到主委我接下來還是要肯定我們今天您的專案報告我覺得普惠金融這四個字我覺得在ETC上面我覺得我們看到金管會的努力整體我們現在在ETC裡面的資金總共大規模
transcript.whisperx[129].start 4679.73
transcript.whisperx[129].end 4705.171
transcript.whisperx[129].text 大規模的成長達到4兆左右4兆1755億它大概佔了我們總共基金的投資將近6成這個讓所有的投資人有多元化資金配置的管理的機會這一點我是要給金管會肯定的但是主委你知道其實任何以我們吃食物來說我覺得均衡最好過於不急其實都是不健康的
transcript.whisperx[130].start 4706.132
transcript.whisperx[130].end 4720.668
transcript.whisperx[130].text 主委你覺得我們現在的ETC內部的狀況因為這兩天包括前幾位委員都在講你買了沒你買了沒ETC00940你買了沒這是最近我們在臉書上或在很多廣告上看到的
transcript.whisperx[131].start 4721.289
transcript.whisperx[131].end 4733.314
transcript.whisperx[131].text 你覺得它會不會過熱雖然我們現在ETC的總市值大概在臺灣大概只佔7%在全球包括在美國在其他歐洲國家大概其實都有10%到15%看起來沒有過熱的疑慮但是我們的五年複合成長率高達39%
transcript.whisperx[132].start 4743.338
transcript.whisperx[132].end 4753.427
transcript.whisperx[132].text 這個是全世界最高的他的增幅比照去年這個時間大概增長了62.48%所以主委你覺得他是過熱嗎
transcript.whisperx[133].start 4755.56
transcript.whisperx[133].end 4779.911
transcript.whisperx[133].text 你會擔心嗎?第一點我想我要表達我非常尊敬委員您問這個內容那麼的專業我非常尊敬而且很向您學習但是是不是過熱我想國人的確有足夠的存款想去做適度的投資那ETF這種商品相對來講由於其他的配息的設計也蠻吸引投資人的
transcript.whisperx[134].start 4780.791
transcript.whisperx[134].end 4809.51
transcript.whisperx[134].text 但是我們關切的不是量多少而是創造那個量後面的銷售的過程資訊的揭露是不是完整的如果銷售的過程是沒有置入性的行銷沒有不當的比喻資訊充分揭露我覺得量不會那麼大主委我知道你有KPY跟KYC的歧視在裡頭但是如果不擔心過熱你為什麼要祭出六大措施就是說
transcript.whisperx[135].start 4810.39
transcript.whisperx[135].end 4823.227
transcript.whisperx[135].text 我不知道你有沒有什麼叫做過熱什麼叫做你可以接受因為你現在回應在我們報告裡面你只有說投資熱絡這四個字來去形容所以剛才前一個委員吳委員才會講說未來有可能有自救會
transcript.whisperx[136].start 4826.43
transcript.whisperx[136].end 4848.892
transcript.whisperx[136].text 但是我們政府難道能做的就只有KPY跟KYC嗎這是我第一個要提出的問題那當然你們有提出六大措施你們也擔心說他會不會過熱那是不是過熱你們會不會有一個評定的標準在還是他資金投入多少你們都不管你只有KPY跟KYC這樣的標準去提醒
transcript.whisperx[137].start 4849.69
transcript.whisperx[137].end 4869.973
transcript.whisperx[137].text 目前兩天有媒體說金港會會不會限定這個募集的額度啊或是怎麼樣我們目前沒有這個打算我目前看到了尤其是從今年過去這五年的檢查包括年初的檢查發覺在廣告行銷上面還有配息的規範上面需要去做調整
transcript.whisperx[138].start 4871.804
transcript.whisperx[138].end 4887.759
transcript.whisperx[138].text 所以你就只有這兩個策略而已沒有 我們後面還有整個在市場的監控上面後面講到的三點都有包括市場的監控對於整個的成分股對市場的影響有沒有集中度的問題這個我們會去處理
transcript.whisperx[139].start 4890.799
transcript.whisperx[139].end 4907.782
transcript.whisperx[139].text 好 主委其實我們都擔心因為ETC聯動股市其實它熱絡有它熱絡的道理但是現在股市其實就是在最高點但是ETF它我們最大的隱憂有兩點我們都說雞蛋同時放在一個籃子裡不見得是好事但是ETF
transcript.whisperx[140].start 4908.683
transcript.whisperx[140].end 4929.189
transcript.whisperx[140].text 他投資在一個他放在一個籃子裡但是籃子裡全部都還是一樣的東西這個也是我們現在會擔心說會出現成分股過度集中的問題這是我們現在第一個隱憂那第二個隱憂其實就是股市大漲了三天之後我們常常在講有一句話就是股市大漲三天之後很多散戶都跟得進來所以很多對於資訊
transcript.whisperx[141].start 4930.609
transcript.whisperx[141].end 4950.774
transcript.whisperx[141].text 不夠充分了解對商品的資訊不夠了解或者是他到底承受風險的能耐度到底夠不夠這個是我們最大的擔心所以除了您剛才提到之外的這些包括加強ETF這些審查之外我們有沒有比較具體下一個階段你打算的做法
transcript.whisperx[142].start 4951.354
transcript.whisperx[142].end 4965.63
transcript.whisperx[142].text 包括剛才吳秉瑞委員說未來有可能有次就會啊當他掉到一個程度的時候有可能就有次就會所以你除了現在這幾個具體的方式之外你還有沒有其他的做法準備著因應我想我們
transcript.whisperx[143].start 4966.371
transcript.whisperx[143].end 4983.432
transcript.whisperx[143].text 今天是看大的制度跟方向了那我們看到了現在ETF的發展我們覺得不會因為現在這一檔就對ETF我覺得這是一個控國人可以去選擇的商品要提供這個商品重點是我們要強化它在銷售過程中不要有不當的行銷
transcript.whisperx[144].start 4984.093
transcript.whisperx[144].end 5005.212
transcript.whisperx[144].text 主委你一直講同樣的話我知道你是強化資訊的賞名的認知還有承擔風險的能力那我就要具體的提醒你其實我覺得今晚會後續包括有幾個具體的做法可以做包括我覺得應該要有多種類多面向的投資方式比如說要有避險的工具在大家都想賣的時候我覺得當
transcript.whisperx[145].start 5007.674
transcript.whisperx[145].end 5037.054
transcript.whisperx[145].text 市場到一個其實萬一大家都想賣的時候會對股市造成一定的衝擊所以我覺得如何健全市場的機制其實是相對重要的然後還有包括現在很多投資人他可能是拿定存解開定存來投資甚至是用槓桿的借錢的方式來投資我覺得這個對於很多的資訊揭露等等我覺得要有一個特別是對全新的股票的領域我覺得要有一定的承受能力我覺得這個也要在
transcript.whisperx[146].start 5037.774
transcript.whisperx[146].end 5038.735
transcript.whisperx[146].text 主席主席主席主席
transcript.whisperx[147].start 5056.764
transcript.whisperx[147].end 5079.462
transcript.whisperx[147].text 所有的想投入股市的或者是他們更了解這些不同的投資的方向他們的承擔風險的能力這個是我要提醒的那最後主委這個是我的兩點建議但是主委我最後還是要提醒就是說我們現在股市到2萬點那在1月份的實質稅收我們達到2233億事實上在
transcript.whisperx[148].start 5085.407
transcript.whisperx[148].end 5111.866
transcript.whisperx[148].text 股市在2月份連時紅那比較去年同一個時間點我們也增加了1.8倍那特別是前幾天我問了主計處的主計長我問他說股市大漲你開不開心他說他個人不開心因為他沒有玩股票但是身為這個主計長大掌櫃對於國家有這些稅收他是開心我想請問同樣的話我想請問主委現在股市一直漲你開不開心
transcript.whisperx[149].start 5114.062
transcript.whisperx[149].end 5118.12
transcript.whisperx[149].text 我想只要是反映市場機制我們尊重我們沒有什麼喜怒
transcript.whisperx[150].start 5120.922
transcript.whisperx[150].end 5149.181
transcript.whisperx[150].text 熱錢主委你也很開心我這樣的想法是你都不去管市場的機制你讓市場連的走他是反映整個市場的交易我想我們提供的就是一個健全的環境那交易的劑量跟量由市場去決定我覺得央行的總裁可能會很擔心因為資金氾濫錢熱錢來的快去的也快但是如果主委沒有想法沒有憂心的話那我覺得我個人會很擔心
transcript.whisperx[151].start 5150.962
transcript.whisperx[151].end 5178.074
transcript.whisperx[151].text 主委您了解我的意思嗎熱錢來得快去得快你如果沒有在當然尊重市場機制但是如果沒有一些手段或者是做一些更多內部的管理溝通的話我覺得市場一旦有變化的時候你還順著市場機制在走我覺得你開心恐怕我覺得我會很憂心主委沒有憂心的話我覺得我會很擔心
transcript.whisperx[152].start 5179.349
transcript.whisperx[152].end 5205.077
transcript.whisperx[152].text 主委您了解我的意思嗎這個ETF是成分股我覺得主委我強調不只是ETF因為它是跟著整個市場股市的結果在連動所以我才問說股市漲到2萬點你開不開心報告委員股市漲到2萬點有它的基本面因為過去一年AI股、半導體股這是我們的基本面只要有基本面我覺得就是反映我們的經濟的結構
transcript.whisperx[153].start 5206.687
transcript.whisperx[153].end 5224.905
transcript.whisperx[153].text 但是主委我還是要提醒你啊那個股市的變化投資人熱錢來得快去得也快但是我今天本來還有其他問題要一起問您跟央行總裁但沒關係我留著下次再繼續問是謝謝主委謝謝委員謝謝委員指導謝謝好謝謝李燕秀委員的質詢接著我們請賴世保委員質詢
transcript.whisperx[154].start 5239.053
transcript.whisperx[154].end 5243.976
transcript.whisperx[154].text 謝謝主席以及各位先進有請金管委的黃主委有請黃主委是委員好主委早那麼這個今天討論ETF其實我再講我的感想我先看一下在國發會二月底
transcript.whisperx[155].start 5263.598
transcript.whisperx[155].end 5285.625
transcript.whisperx[155].text 有一份的一個報告講出來臺灣的經濟自由度全球排名第4名相當自由這個很活潑的臺灣的經濟可是財務自由度只有40第40名投資自由度39名
transcript.whisperx[156].start 5288.322
transcript.whisperx[156].end 5316.671
transcript.whisperx[156].text 就代表我們的財務我們的投資不自由我們經濟很自由我們的投資很不自由在全世界你看排名第40名啊大家都知道臺灣的經貿實力雖然臺灣很小但是很粗略的講我們臺灣的經貿實力在全世界排名大概第15、16、17左右是相當前面的結果自由度掉到40啊
transcript.whisperx[157].start 5319.127
transcript.whisperx[157].end 5330.701
transcript.whisperx[157].text 這個講起來很丟臉喔這裡面跟我們軍管會有太多的禁止這個管這個管那個有關係喔你要不要對這個做個回應呢
transcript.whisperx[158].start 5332.639
transcript.whisperx[158].end 5351.166
transcript.whisperx[158].text 委員如果您是說中間那邊講我們禁止目前不允許副委託買比特幣現貨不是我現在跟你講這個還沒講到這個我現在跟你講自由度你要不要回應一下就人家說我們這裡投資自由度稍微高財務自由度細佔這個不見得講金管會
transcript.whisperx[159].start 5355.814
transcript.whisperx[159].end 5357.795
transcript.whisperx[159].text 好我跟您報告第一個
transcript.whisperx[160].start 5386.414
transcript.whisperx[160].end 5406.041
transcript.whisperx[160].text 美國證管會把比特幣當作有價證券但是臺灣的證交法比特幣是不是有價證券其實是不確定的那另外跟您報告我為什麼剛才離開備質詢臺這份是美國1月10號美國證管會他同意比特幣現貨交易的一個新聞稿
transcript.whisperx[161].start 5407.113
transcript.whisperx[161].end 5422.794
transcript.whisperx[161].text 最後一段話美國的政委會主席Gary Gensler說我同意他上市那是因為法院駁回他不准他上市並不表示我indose或是我prove比特幣的性質這是美國政委會的說明我再跟你告告
transcript.whisperx[162].start 5423.996
transcript.whisperx[162].end 5434.21
transcript.whisperx[162].text 南韓、新加坡、泰國都不允許投資人買比特幣這邊還有一檔美國的Manga也不許交易你不要那麼激動來 我跟你講一個你的很重要的理由當初你今天一直沒有講這個東西因為它沒有實體
transcript.whisperx[163].start 5439.807
transcript.whisperx[163].end 5453.686
transcript.whisperx[163].text 他沒有含價值對對好那我就問你現在美國已經有會上市的公開發行的OpenAI已經快要上市了請問OpenAI你可不可以以後會不會禁止
transcript.whisperx[164].start 5455.009
transcript.whisperx[164].end 5456.089
transcript.whisperx[164].text 這兩個是類比不太一樣吧委員我跟您報告齁
transcript.whisperx[165].start 5480.959
transcript.whisperx[165].end 5507.054
transcript.whisperx[165].text 我們一月初美國上市現貨ETF政企局是請券商公會先不要接受這種買單復委託而是研擬配套措施看可不可以有適當的措施等到4月底以後再做決定什麼時候決定4月底以後就決定配套措施ETF要不要包括比特幣是不是不是復委託要不要涵蓋美國的現貨ETF的商品
transcript.whisperx[166].start 5507.861
transcript.whisperx[166].end 5510.523
transcript.whisperx[166].text 國發會這樣的一個報告你的認知居然跟我認知完全不一樣
transcript.whisperx[167].start 5524.875
transcript.whisperx[167].end 5548.532
transcript.whisperx[167].text 如果今天我是你啊我一定要去檢討為什麼我進口做了哪些事情為什麼投資自由度這麼低在全球排39名財務自由度排40名我們看到ETF我記得我請問ETF最早什麼時候發行臺灣最早第一檔的ETFETF92年臺灣92年
transcript.whisperx[168].start 5554.247
transcript.whisperx[168].end 5575.933
transcript.whisperx[168].text 2003年美國最早什麼時候82年吧1992所以跟美國足足差了10年對ETF我聽到的ETF是我們歷任的金管會主委都不斷的鼓勵大家多買ETF因為風險分散啊因為有專業人幫你看啊
transcript.whisperx[169].start 5577.677
transcript.whisperx[169].end 5588.371
transcript.whisperx[169].text 曾幾何時什麼變了ETF變成今天拍這個專案報告都感覺ETF有點像過街老鼠一樣啊怎麼曾幾何時變成大家怕ETF怕到這個樣子
transcript.whisperx[170].start 5590.216
transcript.whisperx[170].end 5612.214
transcript.whisperx[170].text 那個那個主委啊到底是管ETF還是你就是管他的促銷手段比如說網紅接廣告到底是什麼今天您這個問題我很感謝您問這個問題這就是重點我們從頭到尾過去這個禮拜都沒有說要限制ETF沒有這是一個商品適合國民去投資鼓勵不鼓勵你告訴我
transcript.whisperx[171].start 5614.716
transcript.whisperx[171].end 5630.551
transcript.whisperx[171].text 沒有什麼鼓勵鼓勵你發行就鼓勵啊我們也有來一個我們在這裡我請教過你啊我說了應該來一個加薪50或者加薪100鼓勵這些上市公司加薪的我就給你放進來我們有類似的指數啊有類似的指數你沒有加薪100啊有嗎
transcript.whisperx[172].start 5635.987
transcript.whisperx[172].end 5639.25
transcript.whisperx[172].text 我得到的訊息是其實ETF它本身沒有問題
transcript.whisperx[173].start 5660.828
transcript.whisperx[173].end 5684.91
transcript.whisperx[173].text 本身是幫老百姓當投資股民風險分散幫你挑一些好的股物有特性的股可是現在問題來了因為這些網紅啊亂吹牛一通哦 還一定有8點多趴啦然後呢每個月還配息等等的所以為了配息可能如果同時的話ETF 有些的ETF沒有
transcript.whisperx[174].start 5685.851
transcript.whisperx[174].end 5693.067
transcript.whisperx[174].text 沒有講好但是有默契大家都lock住那個股票第一個他駐倉啊或者一個駐地啊變成這個樣子啊會不會
transcript.whisperx[175].start 5695.311
transcript.whisperx[175].end 5722.647
transcript.whisperx[175].text 委員您是專家您講的是對的啊就是他沒有充分介入這個商品的風險也在很多商品的條件上有誤導的情況比方說把配息跟存款的利率銹相比較或者說過去的跡象拿來預測未來也會如此這是要提醒我我我我你最實際的有網絡說你可以把你的房子拿去抵押來來買ETF這樣的講法你認不認同
transcript.whisperx[176].start 5724.67
transcript.whisperx[176].end 5745.762
transcript.whisperx[176].text 那是很風險很高的為什麼因為ETF的成分股漲跌也不是發行的投信能決定的還是要看市場的機制所以過去漲不表示未來一定會漲我的時間快到了趕快把重點我還有個重點要問那個副總裁一起來好不好這個時間暫停一下來有請副總裁
transcript.whisperx[177].start 5748.001
transcript.whisperx[177].end 5771.23
transcript.whisperx[177].text 公平會在去年2月已經對網路網紅的廣告不時要罰5萬到2500萬因為網紅不是賣家他是代言人要負責任的結果金管會現在你可以看到對投信的管理很嚴格可是對這網紅你們好像沒有皮條啊會不會對網紅這一部分來來來主委網紅推薦買ETF到處都是你們有沒有處置辦法
transcript.whisperx[178].start 5778.973
transcript.whisperx[178].end 5791.762
transcript.whisperx[178].text 拜委員我可不可以 如果我說錯了你可以指導我好像是3月8號才規範的 不是去年2月吧沒有 去年2月就規範了好 沒關係 沒關係去年有再修正了也許
transcript.whisperx[179].start 5794.349
transcript.whisperx[179].end 5818.076
transcript.whisperx[179].text 我們111年就有規範要加注警語那這樣實踐上面可能有些公司並沒有真正照那個廣告公會的廣告你們要不要去取締一些講這些話講得誇大的網紅有沒有這個工具我們正在思考那公平會雖然有一個寄出這個高額罰款的這個但是還是要有一個機制怎麼去檢舉那要有事證
transcript.whisperx[180].start 5819.136
transcript.whisperx[180].end 5833.408
transcript.whisperx[180].text 那這部分我們想跟工會再去做一個溝通現在我們報告中有寫到6月底之前我們會把這個規範弄好好 我請教冤枉的副總裁日本結束負利率
transcript.whisperx[181].start 5834.727
transcript.whisperx[181].end 5862.697
transcript.whisperx[181].text 外面的估算因為日本央行明天開會澳洲後天開會澳洲是明天3月19然後臺灣我們是21號開會俄羅斯20號開會全世界現在面對到幾乎所有金融商品都在漲的情況之下請問你現在現在來講央行未來的利率走向是怎麼樣
transcript.whisperx[182].start 5866.916
transcript.whisperx[182].end 5883.263
transcript.whisperx[182].text 報告委員因為傳統上我們每一次開會之前我們都會針對當前的國內外經濟金融情勢以及未來的發展做評估所以其實您提到這些不管是它的日本或者其他央行的貨幣政策是我們隨時在關注的
transcript.whisperx[183].start 5884.451
transcript.whisperx[183].end 5900.332
transcript.whisperx[183].text 其他國家的央行現在就是利率他們是偏要漲還是要跌還是那個那個報告委員因為各國的國情不一樣所以我們很難用其他國家例子來銀行台灣現在錢有太多嗎錢有太多嗎
transcript.whisperx[184].start 5902.486
transcript.whisperx[184].end 5925.689
transcript.whisperx[184].text 根據我們剛才的報告銀行的那個資金其實我們在整個NCD的操作或者是銀行的那個超額準備那邊其實是在銀行端其實我們看不到這樣的現象而且我們其實內部也有一些指標在注意到國內金融市場的變動情形所以我們閒置的貨幣有3點多兆不會太多
transcript.whisperx[185].start 5927.633
transcript.whisperx[185].end 5935.235
transcript.whisperx[185].text 呃...我不曉得那個3點多兆您的意思是...以前是2點多兆現在變3點多兆了啊呃...我剛才...超額儲蓄啦!超額儲蓄!會不會太多?呃...我還是不太了解委員那個數字是...是講的是哪一個...沒有這個事嗎?那你告訴我現在超額儲蓄多少?你...臺灣的現在超額儲蓄有多少錢?
transcript.whisperx[186].start 5956.126
transcript.whisperx[186].end 5967.213
transcript.whisperx[186].text 呃...我們這邊有一個圖嘛那個...應該...有...有多少?你要講...講...你有時間到你趕快講吧三...呃...三點...三點八三點...呃...
transcript.whisperx[187].start 5979.62
transcript.whisperx[187].end 5979.78
transcript.whisperx[187].text 熱錢多少?熱錢
transcript.whisperx[188].start 5997.377
transcript.whisperx[188].end 6018.655
transcript.whisperx[188].text 熱錢我們我們並沒有我們並沒有定義所謂的熱錢熱錢是金融機構他之間的那個資金的流動和調動那個黃主委熱情的這個那個流量部分可能只有央行央行知道啊怎麼不知道你來副總裁跟我講一下我就跟主席換一下來
transcript.whisperx[189].start 6020.943
transcript.whisperx[189].end 6040.6
transcript.whisperx[189].text 熱錢我們過去就是你出去多少金買多少然後這些短時間留了在這裡股票買買就出去這個熱錢我們所謂的熱錢就是外資在還沒有賣完股票之前有一段時間停留在臺灣的數字那個是多少那個我印象中大概都是一千多億而已美金還是臺幣臺幣臺幣一千多億到現在為止
transcript.whisperx[190].start 6046.846
transcript.whisperx[190].end 6062.113
transcript.whisperx[190].text 這個其實我再補充一下你講的那個3.3億的超額儲蓄其實是在3.3兆3.3兆那其實在銀行體系金融體系裡面散布在各個金融機構的那個資金的運用情形好 謝謝賴時保委員的質詢謝謝委員好 下面我們請國公委員質詢請
transcript.whisperx[191].start 6076.786
transcript.whisperx[191].end 6083.204
transcript.whisperx[191].text 謝謝主席我請黃天牧主委以及我們的這個嚴副總裁副總裁請
transcript.whisperx[192].start 6091.652
transcript.whisperx[192].end 6118.672
transcript.whisperx[192].text 主委兩位我今天排這個主題其實重點其實在於游資過多那ETF是一個游資過多一個很重要的一個投資工具那我看那個黃天牧主委的報告當中都針對ETF並沒有針對游資過多如何做一個適當的引導以避免流向房市那導致央行這邊的報告是比較有接近這個主題
transcript.whisperx[193].start 6120.311
transcript.whisperx[193].end 6146.144
transcript.whisperx[193].text 剛剛在立法委員在討論這個超額儲蓄是確實一個大問題去年是3.31今年已經預估是3.84兆剛剛央行的報告當中一直強調跟銀行端之間的互動沒有所謂的這個資金過剩的問題可是問題是民間的資金確實是有過剩的現象否則不會有ETF這一種投資的一個熱潮最關鍵的原因是在這裡頭要跟大家討論的這個部分
transcript.whisperx[194].start 6147.685
transcript.whisperx[194].end 6175.457
transcript.whisperx[194].text 然後在後續的這個討論當中我必須做一個提醒因為央行這個禮拜四這個副總裁禮拜四的部分已經要開禮監事會議本週是央行週看臺灣的這個金錢的流入經過這個地緣政治還有包括相關的因素導致回來的臺商的回流資金的專利已經高達3000多億而這5年之內不能投入房地產25%只能進入這個股市的部分已經要解限了
transcript.whisperx[195].start 6176.717
transcript.whisperx[195].end 6183.064
transcript.whisperx[195].text 這個我請問一下副總長你有沒有注意到這個訊息也就是8月的時候我們有更多的資金會投入這一個民間的一個游資當中欸副總長
transcript.whisperx[196].start 6186.352
transcript.whisperx[196].end 6209.098
transcript.whisperx[196].text 那個報告委員我想這個問題還是歸咎於跟我們的那個過去幾年的經常在順差大幅度順差有很大的關係對你來解釋原因但是我問題是要解決問題嘛就游資過多你有沒有什麼政策工具來可以做引導而不是用定存利率的部分跟銀行間之間往來而已嘛就是說禮拜四要嚴重要去面對的問題是現在這種狀況大家擔心的問題嘛
transcript.whisperx[197].start 6213.973
transcript.whisperx[197].end 6219.639
transcript.whisperx[197].text 因為我們的政策工具我們會考慮到整個金融市場的變動情形所以
transcript.whisperx[198].start 6222.386
transcript.whisperx[198].end 6244.193
transcript.whisperx[198].text 委員講的這個3.8兆或3.31兆我先來是做一個慎重的提醒在禮拜四的理監事會議的時候有些諸多的現象以及未來是跟現在狀況裡頭所造成的一個社會影響的影響我再舉其中一個例子就好為什麼最近的ETF熱會如此的一個瘋狂原因在哪裡為什麼會很解除定存
transcript.whisperx[199].start 6244.853
transcript.whisperx[199].end 6259.606
transcript.whisperx[199].text 因為平均的定存利率來說我抓過五大銀行三期的定存率才1.594%而已我們通膨基本上是高達2.53%事實上你現在放在銀行裡的一個定存組基本上簡直是負利率
transcript.whisperx[200].start 6261.187
transcript.whisperx[200].end 6285.284
transcript.whisperx[200].text 基本上是負利率的情況底下他有一個比較好的認為比較放心的金融商品的話他當然相對會投資啊可是你看看我們總裁楊總裁說會有羊群效應接下來就像黃天牧總裁黃天牧主委黃天牧主委講什麼主委你不斷地示警然後呢你還要動用精檢然後不斷地警告投資人這個東西過熱主委老師說齁
transcript.whisperx[201].start 6288.746
transcript.whisperx[201].end 6310.482
transcript.whisperx[201].text 明明你也剛剛在報告當中講得非常清楚它是透明度高分散風險而且基本上又可以適合長期持有的投資標的那為什麼會動用這麼多恫嚇的言詞呢好像投資ETF是一個高風險的投資商品一樣主委
transcript.whisperx[202].start 6311.53
transcript.whisperx[202].end 6327.668
transcript.whisperx[202].text 委員謝謝我先要感謝趙偉安排這樣一個專案報告讓我們可以跟大家做一個說明其實我的重點ETF商品是中性的重點是你要銷售給適合那個風險承受的人而且資訊要說清楚問題是
transcript.whisperx[203].start 6329.87
transcript.whisperx[203].end 6351.952
transcript.whisperx[203].text 我們在日常監理跟檢查發現很多投信在ETF的銷售過程中沒有適度的讓投資人瞭解這檔商品的正確的資訊還有它在追蹤指數的時候有些地方也是有一些地方是需要去被改進的所以你警告了主委不好意思我跟你打岔你警告的對象是應該是投信公司啊而不是投資人啊
transcript.whisperx[204].start 6352.392
transcript.whisperx[204].end 6371.845
transcript.whisperx[204].text 您好像在恫嚇投資人說這個股票這個ETF的這個基金股票型的指數型的投票股票基金這樣子下去的話會充分高風險沒有 報告委員有兩面投信公司要了解客戶客戶也要了解那個商品但了解商品投信公司有責任要告訴客戶你買的是什麼商品是
transcript.whisperx[205].start 6372.185
transcript.whisperx[205].end 6397.631
transcript.whisperx[205].text 他所標榜的配息是怎麼配的他的來源從哪裡評準金的規範有沒有確實去做這些其實都是我們要日常監理的重點其實主委您的報告當中寫得非常清楚我想是有過度集中的問題標的過度集中的問題沒有錯但是你提出來一個新的一種方式依照目前的這個ETF的主流是在這種被動型的你所謂開放這個所謂主動型的
transcript.whisperx[206].start 6398.511
transcript.whisperx[206].end 6420.241
transcript.whisperx[206].text 這個主動型的這一種ETF的話基本上是放任或者是過度新任基金經理人的可能性都存在啊過往的基金經理人依照你最近處罰的對象就是富邦、保德性這跟單的問題還有包括漢亞投信有抬轎炒股的問題等等基金經理人基本上還會出現這種問題喔
transcript.whisperx[207].start 6422.95
transcript.whisperx[207].end 6441.127
transcript.whisperx[207].text 那以照如果是以從主動型跟被動型目前為止ETF以落後指標來說反而透明度更高啊更能夠值得安心就值得相信啊讓投資人更能夠看得到的情況底下那你去推主動型老實說有真的能夠分攤到風險嗎我是覺得很失意啊
transcript.whisperx[208].start 6442.895
transcript.whisperx[208].end 6471.561
transcript.whisperx[208].text 報告委員這個商品也是因為國外有主動型所以業者這方面也希望我們能夠有一些機會所以大家還在研究中並沒有到最後的階段可能到今年六七月以後我不是說業者講你就要聽嘛我有耳聞嘛有些業者去跟你拉比嘛但是呢基本上哪一種對投資人比較好我們應該對這個部分來去做Promote才對而不是說每一種不同的國外的商品拿進來拿進來之後風險更高不是造成我們更大的困擾嗎
transcript.whisperx[209].start 6472.521
transcript.whisperx[209].end 6500.128
transcript.whisperx[209].text 委員您的指示我們一定會納入這次商評審整個考慮的參考講白一點被動型的部分你要說用主動型的部分現在基金都主動型是差別沒有股票化而已啊不是嗎然後另外的部分呢以照目前的這個數字來看齁如果看到現在的這個比例啊ETF的佔比您的報告裡頭佔整體的股市也不過是2.38%而已而交易量啊也不到1%欸
transcript.whisperx[210].start 6501.528
transcript.whisperx[210].end 6520.212
transcript.whisperx[210].text 也就是說所有的投資人在這個行為上他也知道是長期持有所以交易量相對於這個佔比來說是低很多嘛不是嗎主委所以他的交易量其實是可以被管理的只有1%左右對啊如果是這樣子的情況底下也就是說目前所謂的這個ETF的投資啊雖然
transcript.whisperx[211].start 6520.672
transcript.whisperx[211].end 6549.492
transcript.whisperx[211].text 比例上成長速度很快你剛剛只有講到一個重點是比例上成長很快並沒有造成那麼高的風險可是呢被你們動用這麼多的名詞跟手段然後變成是一個很像高風險的一個投資商品如果是這種情況底下老實講本席是很擔心啊因為市場的游資過多的情況底下你現在沒有一個比較適合的投資標的好不容易有一個ETF反而被你這種阻絕情況底下還所謂的要祭出什麼投資上限
transcript.whisperx[212].start 6550.293
transcript.whisperx[212].end 6566.69
transcript.whisperx[212].text 主委你如果說投資海外的ETF你有投資上限那本席也就認了就是因為那有一個不確定的風險存在那國內的這種被動型的這個投資ETF基本上都會揭露它過去的成效多少如果不好的話它就替換掉
transcript.whisperx[213].start 6567.911
transcript.whisperx[213].end 6591.886
transcript.whisperx[213].text 這種情況底下你真的還需要進行設限嗎委員特別跟您報告我們從頭到尾都沒有提要設限我今天談到的沒有任何量的限制只有希望在銷售過程中能夠讓投資人正確了解他的資訊跟商品的信息所以只有加強資訊揭露並沒有刻意要打壓目前的ETF說要進行所謂的上限的限制有沒有
transcript.whisperx[214].start 6591.946
transcript.whisperx[214].end 6618.276
transcript.whisperx[214].text 沒有,委員我們的報告沒有這種論點出現沒有,我是看到新聞有寫而且你們還有出來發言就是有這樣的新聞報導我特別要感謝您給我這個機會說明所以我記得明明非常清楚主委你20週年慶的時候ETF20週年慶博覽會的時候你還有站在蔡英文總統旁邊而且強調這個ETF透明度高分散風險適合長期投資等等
transcript.whisperx[215].start 6621.824
transcript.whisperx[215].end 6629.551
transcript.whisperx[215].text 講白一點你們這個肌膚通基本上也是在做這個事情啊跟這也是分散風險是一樣的啊不是嗎
transcript.whisperx[216].start 6630.749
transcript.whisperx[216].end 6652.015
transcript.whisperx[216].text 可是問題就是他現在標榜的這些配息這些東西有沒有讓投資人真的瞭解那個配息的本質平準金的規範是不是都瞭解主委我說今天特別提這一題你要去強調現階段的ETF並沒有你們剛剛所做的那個行政手段裡頭的那麼高風險的存在這會造成外界的誤導啦
transcript.whisperx[217].start 6653.435
transcript.whisperx[217].end 6676.281
transcript.whisperx[217].text 各位委員也許我們我不曉得如果給您造成誤會跟您致歉我們的報告的主旨沒有這個意思強在都是網紅啊還有集中度這些可能大家顧慮的事情適當的做一個澄清啦但是我認為主委你現在最需要做的是什麼就是說這個資金過度本行要說盡量不要流到其他的這一種炒房的這種現象的情況底下你還有沒有其他的作為啊
transcript.whisperx[218].start 6677.401
transcript.whisperx[218].end 6702.082
transcript.whisperx[218].text 就是說風險懸殊的部分其實在您的手中當中銀行局的部分有沒有去思考一下有沒有調高的可能性呢?高委員其實我們配合央行的穩定房價的包括行政院的政策我們在兩年前的1月初就已經對於央行選擇性信用管制的一些受限的標題提高了風險懸殊了所以你們有提高但是問題呢資本的集中度還是不斷的提高啊
transcript.whisperx[219].start 6702.682
transcript.whisperx[219].end 6705.563
transcript.whisperx[219].text 但是在整個列管的過程當中我們還是有看到這一個落網之魚
transcript.whisperx[220].start 6721.05
transcript.whisperx[220].end 6745.684
transcript.whisperx[220].text 就是包括融資公司的部分透過銀行來借貸的部分而形成這一個資本其中的堆高的現象我跟您報告融資公司部分對於幾家上市公司我們都有約談過也會透過上市公司的內控還有我們將來會透過它的融資的金融機構去了解兩年前的風險技術的提高是否需要再提高請主委回去好好慎重思考一下好不好
transcript.whisperx[221].start 6747.715
transcript.whisperx[221].end 6768.852
transcript.whisperx[221].text 其實已經提高,風險權數已經提的蠻高的了提的蠻高的,不需要再提了短期內我想我們還是維持跟央行這整個金融機構的部分對,其實兩年前已經提的蠻高的那次提高業者其實都有覺得蠻高的了我們看情況好不好,後續再來追問,謝謝
transcript.whisperx[222].start 6771.65
transcript.whisperx[222].end 6776.834
transcript.whisperx[222].text 好 謝謝國共委員的質詢 下一位請賴慧媛委員質詢請謝謝主席 有請那個黃天牧主委還有我們央行副總裁
transcript.whisperx[223].start 6795.586
transcript.whisperx[223].end 6809.196
transcript.whisperx[223].text 是委員長是主委副總裁早安我想今天我們針對的ETF這一個熱賣高股息的一個產品來跟那個主委跟副總裁做一個討論在這裡請教就是說
transcript.whisperx[224].start 6812.678
transcript.whisperx[224].end 6826.692
transcript.whisperx[224].text 我們總裁我們從1993年就是世界第一支ETF上市了以後一直到現在2024就是現在大家最幸運的密碼00940 00939三個人裡頭就有一個人在買ETF
transcript.whisperx[225].start 6832.958
transcript.whisperx[225].end 6847.788
transcript.whisperx[225].text 那我在這裡就是要跟我們的主委討論一下ETF的一個熱烈除了政策開放的程度有關那也跟現今的台股的市場的狀況有一個相關性你認同嗎
transcript.whisperx[226].start 6849.168
transcript.whisperx[226].end 6870.293
transcript.whisperx[226].text 對委員您這個推論是我覺得是相當專業因為最近臺股長得比較多所以大家覺得聯動臺股的ETF可能未來獲利可期可能有這種期待獲利可期那其實在緩間上有特別提到了一點就是說這次臺股破了2萬點
transcript.whisperx[227].start 6871.613
transcript.whisperx[227].end 6896.491
transcript.whisperx[227].text 幕後有真正的兩大主因一個是台積電的一個漲幅一個就是ETF的一個這個投入那你認為這樣子的一個分析有沒有道理的確台積電在過去台股中不論市值跟價來講它有一個比較主要的一個影響力這是沒有錯的對那ETF呢
transcript.whisperx[228].start 6897.932
transcript.whisperx[228].end 6903.477
transcript.whisperx[228].text 那為什麼會有三個人裡頭就有一個人其實是有買ETF的現在的市場性存在的就是這樣的一個問題主委我想請教你一下
transcript.whisperx[229].start 6920.951
transcript.whisperx[229].end 6949.576
transcript.whisperx[229].text 就是我們的ETF裡頭你知道有多少股息是怎麼算出來的我們就是金管會有沒有去算這些問題委員這就是我們在今年年初對於投信的評準金來配息中間有些地方不透明或是覺得不太合理的地方我們要求訂規範所以這個部分就是要讓投資人所以金管會有沒有去分配就是分析這個配息的這個成分比呢
transcript.whisperx[230].start 6951.072
transcript.whisperx[230].end 6973.433
transcript.whisperx[230].text 你已經覺得不對了嘛不是不對而是說你不能拿投資人的錢然後配給自己說這是你的配息這個不好是我想主委你已經講出了一個重點你拿投資人的錢然後就是配息再次用我自己的錢然後你還收了我的管理費是不是這個樣子呢
transcript.whisperx[231].start 6975.383
transcript.whisperx[231].end 7000.455
transcript.whisperx[231].text 那你的廣告廣告裡頭你看他們講了說業業配、記記配收多少、配多少拿了自己的錢叫做配息嗎?有沒有這個?不知道委員這個話也因為他還是有一些是他的成分股的股利或是債券的息只是說中間是不是有自己的錢在裡面我覺得這個要讓投資人清楚
transcript.whisperx[232].start 7001.115
transcript.whisperx[232].end 7018.352
transcript.whisperx[232].text 所以你有沒有就是去讓投資人清楚這些問題呢有 報告員我們在報告中有我們報告中第8頁就有講到第7、第8都有講到我們對於收益評選金的分配的這些原則還有配息的審查跟資訊的揭露都有在做處理
transcript.whisperx[233].start 7019.153
transcript.whisperx[233].end 7041.439
transcript.whisperx[233].text 可是如果大家有去注意到這些的問題的時候我想今天我們大家就不會每一個委員跟你做的一個建議都是真正的提出了一個公開資訊觀測站這個消費者誰會看我們每一個委員都是告訴你說金管會你要要求就是所有的業者的廣告要收清楚
transcript.whisperx[234].start 7042.319
transcript.whisperx[234].end 7065.039
transcript.whisperx[234].text 那我們也知道說ETF的商品的一個利得它其實就是來自於三個面向我的資本利得、我的評準金、我的真正收到的一個股息可是問題就是說我這些還是你們還是這些業者還是用我的錢在分配我的股息啊那你要正視這些問題啊
transcript.whisperx[235].start 7066.502
transcript.whisperx[235].end 7084.92
transcript.whisperx[235].text 有所以我們有在今年年初有訂了收益評準金的分配原則而且將來也會透過日常監理或是說檢查瞭解這些評準金分配原則是不是有被忠實的執行我想那個主委你看齁我這一頁的一個那個
transcript.whisperx[236].start 7086.502
transcript.whisperx[236].end 7087.504
transcript.whisperx[236].text 那在下一頁在下一頁
transcript.whisperx[237].start 7099.946
transcript.whisperx[237].end 7117.122
transcript.whisperx[237].text 就是說你的廣告怎麼去管ETF的熱賣是不是因為廣告的手法他特別的吸金所以就是說很多人他已經解除定存了這個是跟央行的一個關係跟金融這個就是我們金管會其實在
transcript.whisperx[238].start 7117.842
transcript.whisperx[238].end 7136.717
transcript.whisperx[238].text 行政的一個前者裡頭是沒有關係的可是我要特別提醒你有沒有去管這個廣告手法這個廣告手法你看講了就是鄭建山喊咖又一家這個600億、500億喊了每一個人就覺得說哇我如果在現在的一個投資的一個市場裡頭我沒有去買00、00
transcript.whisperx[239].start 7143.175
transcript.whisperx[239].end 7161.553
transcript.whisperx[239].text 940對你看你都比我記得還清楚00939對不對這樣很漏氣了沒有跟上時代的潮流那怎麼辦呢你儘管會對這些投信的投顧業者的一個銷售的ETF的一個廣告有什麼具體的法規有沒有具體的法規
transcript.whisperx[240].start 7162.173
transcript.whisperx[240].end 7176.866
transcript.whisperx[240].text 其實我們以往對於投信業者在商品的廣告都要送到工會去審的那前年開始也針對網紅提請他注意但是這幾波看起來因為網紅有的不是投信直接跟他簽約透過行銷公司跟他簽約
transcript.whisperx[241].start 7177.927
transcript.whisperx[241].end 7194.609
transcript.whisperx[241].text 所以網紅其實他後面可能是跟投信有關係可是在做宣導的時候他沒有說他是跟投信有關係所以有一種置入性行銷的味道那這些可能他在手法上比方說他拿這個配息跟定存比那這些都是不太妥當的
transcript.whisperx[242].start 7196.07
transcript.whisperx[242].end 7223.676
transcript.whisperx[242].text 主委你已經看到了不太妥當了這個其實業者有沒有違反那個自立的一個規範那你們怎麼樣去處分我想就是說會後請你提供給我資料那再來我想再請教就是主委就是說在我們所有的公司裡頭有沒有哪一家公司還是有哪些公司就是說他是每一季配股息的
transcript.whisperx[243].start 7226.098
transcript.whisperx[243].end 7251.343
transcript.whisperx[243].text 呃 我知道有幾家公司但是哪幾家我好像不需要我會後跟您報告因為我不用替這幾家公司不論是我跟你講齁 主委就是每一季配股息的就只有台積電報告 你是說台積電我以為是投信公司不好意思不是投信公司你已經不能站在這個地方一直幫投信公司打廣告了
transcript.whisperx[244].start 7252.944
transcript.whisperx[244].end 7267.842
transcript.whisperx[244].text 對 我現在講的是公司哪一家公司所以我就想說針對業者的配息的一個問題ETF會不會變成了一個龐氏的騙局你有沒有想過這樣的一個問題
transcript.whisperx[245].start 7270.051
transcript.whisperx[245].end 7288.968
transcript.whisperx[245].text 其實這也是為什麼我們對於收益評準金它的內涵是什麼它如何去操作如何分配一定要弄清楚不要讓投資人被誤導這是我們的重點對這個就是我們大家的一個社會責任嘛對不對所以我在想說你給我的8%可能有一半是我的錢啊
transcript.whisperx[246].start 7290.464
transcript.whisperx[246].end 7319.103
transcript.whisperx[246].text 是我的錢啊所以你這個我想配息你必須要把配息的一個比例講得更清楚一點那你甚至要做更多的一個約束更多的一個宣傳甚至就是說針對業者他的配息的問題還有他的廣告的一個問題不管是在網路上的一個行銷剛才我看你的報告裡頭你寫得很好可是問題就是說在執行面有沒有真正的執行有沒有真正的落實這是一個
transcript.whisperx[247].start 7320.884
transcript.whisperx[247].end 7342.977
transcript.whisperx[247].text 嚴肅的一個問題謝謝主委那接著我請那個央行總裁就是副總裁我想就是說就是在之前就是你針對00940掀起了空前的一個搶購的一個熱潮這個總裁特別就是示警大家要小心陽晴效應為什麼會這樣子講來副總裁
transcript.whisperx[248].start 7347.605
transcript.whisperx[248].end 7374.438
transcript.whisperx[248].text 我想楊總裁可能看到就是說因為過去的臺灣的金融市場偶爾會出現大家一窩蜂的現象他提出只是這樣所以你在警告大家嘛對不對你在警告這些投資業的這些羊群就是說你們千萬要小心這一塊草坪如果你吃不到草了你千萬不要往就是有狼群最後的這個草坪前進是不是這樣子
transcript.whisperx[249].start 7375.953
transcript.whisperx[249].end 7398.34
transcript.whisperx[249].text 大概你們的意思就是這樣子嘛是不是我看起來是是的可是你有沒有想到央行會不會就是這一群領頭羊呢這一群羊群的領頭羊呢為什麼因為事實上就是說實質的總薪資一直在下跌定存利率也趕不上通盤
transcript.whisperx[250].start 7399.46
transcript.whisperx[250].end 7415.689
transcript.whisperx[250].text 我的選區裡頭太多退休的老人他們的利息太薄了那央行有沒有想到就是用什麼樣的一個方法然後可以去改善就是實質的負利率呢?副總裁你怎麼看勒?
transcript.whisperx[251].start 7416.277
transcript.whisperx[251].end 7441.876
transcript.whisperx[251].text 那個報告委員維持金融穩定是央行的職責所以您剛才講那個央行是帶頭那個羊我覺得那是有一點點問題的說法這個是不對的金融穩定是我們的職責對那你有沒有穩定啊因為你利息一直都你的利息就是一直這麼低啊你沒有提升你的利息啊所以你看啊每一個人這個報告委員這是一個長期的問題
transcript.whisperx[252].start 7444.237
transcript.whisperx[252].end 7463.979
transcript.whisperx[252].text 包括我們資金過多的造成我們整個社會這是一個長期問題資金過多這個是好事啊你央行你就是要分配啊你怎麼分配他呢所以你不認同我說你是領頭羊領頭羊通常就是最棒的可是我們要做一個實質上的一個最好的
transcript.whisperx[253].start 7464.96
transcript.whisperx[253].end 7477.606
transcript.whisperx[253].text 我想那個實質利率或者是低薪的問題也都是我們長期在關注的問題我想我們在貨幣政策的時候也會考慮到這些問題的存在好 謝謝副總裁好 謝謝戴惠文的質詢謝謝我們請羅明財委員質詢羅明財委員質詢後我們休息10分鐘
transcript.whisperx[254].start 7492.714
transcript.whisperx[254].end 7512.99
transcript.whisperx[254].text 主席各人處理的習慣大家好主席可不可以請黃主委然後等一下再請央行以及證券交易所還有請黃主委陳董事長招委長交易所董事長去招商去了請另外一位陳董陳永誠櫃買中心陳董事長主委我想請教一下
transcript.whisperx[255].start 7522.759
transcript.whisperx[255].end 7543.733
transcript.whisperx[255].text 那ETF究竟它是什麼形式從什麼時候開始在臺灣來募集來販售那一般的民眾小白可不可以下去買最少的單位是大概要多少錢
transcript.whisperx[256].start 7546.141
transcript.whisperx[256].end 7563.564
transcript.whisperx[256].text 我想ETF我們的介紹應該在第一頁都有說臺灣是92年開始第一檔ETF那到現在發展起來大概有48檔大概以股票為標的ETF大概一兆四五千億左右總共現在加起來的規模是多少
transcript.whisperx[257].start 7565.151
transcript.whisperx[257].end 7593.158
transcript.whisperx[257].text 加上債券應該差不多4兆左右有4兆多那我們看到網紅在上面講說這是可以打敗定存的那請問主委你有沒有買我沒有買現在定存的利率是多少好像1.56%吧我想最高應該不到2%我沒有特別注意如果說不到2%的話然後ETF會不會倒會不會倒
transcript.whisperx[258].start 7595.137
transcript.whisperx[258].end 7623.856
transcript.whisperx[258].text 要看什麼ETF如果各位記得那個2020年有一個反向槓桿反向後來也因為它的追蹤的標底的問題但是股票部分其實我這邊也有報告風險風險其實這都是風險之一只是相對它的發展機率大不大一般的民眾都不了解特別那麼亮麗的宣傳唯一可以打敗定存的
transcript.whisperx[259].start 7624.761
transcript.whisperx[259].end 7633.71
transcript.whisperx[259].text 哇!好像跟神一樣因為這一次的情況是這樣很多人都沒有買到台積電主任你有買到台積電嗎?
transcript.whisperx[260].start 7635.578
transcript.whisperx[260].end 7663.729
transcript.whisperx[260].text 我什麼都沒有所以我周邊很多人都沒有特別是小白好緊張無所適從所以很多人定存族存在銀行的老本五百萬、一千萬全部趕快解約甚至連房子沒有貸款趕快去做信貸趕快去執押貸款
transcript.whisperx[261].start 7664.4
transcript.whisperx[261].end 7693.428
transcript.whisperx[261].text 拼啦大家一窩蜂最後一次機會啊臺積電都錯過了ETF不能再錯過啊因為這些人的恐懼跟驚慌主任你是不懂他們的心的法委員臺積電也有零股其實也是可以買的我們有零股加的我周邊沒有人買臺積電啊只有一個人買是投信的一個董事長而且買了好幾千億名字我就不說了
transcript.whisperx[262].start 7694.649
transcript.whisperx[262].end 7713.807
transcript.whisperx[262].text 問題就是說當資訊不對等當所有小白在這樣的一個貧富懸殊很大的場境在這種環境之中沒辦法沒得選擇啊他跟我講很多的年輕人本來很想買虛擬貨幣
transcript.whisperx[263].start 7715.987
transcript.whisperx[263].end 7741.117
transcript.whisperx[263].text 在美金一枚大概六千塊的時候很多年輕人就問我說我股票台積電我買不起也不曉得怎麼買然後很多人就說很多人說虛擬貨幣是年輕人的最後一個機會有人沒辦法就跳上車可是央行央行今天也來了從幾年前央行也一起上來副總裁
transcript.whisperx[264].start 7742.267
transcript.whisperx[264].end 7757.705
transcript.whisperx[264].text 你們的總裁一直叫人家說那個是風險很大叫人家不要買就很多人都聽總裁的話都沒有買就今天證明請問一下副總裁現在比特幣一枚多少錢
transcript.whisperx[265].start 7760.165
transcript.whisperx[265].end 7784.208
transcript.whisperx[265].text 比特幣過去的那個價格最近多少錢一枚過去我知道是7萬多接近7萬多的美元是美元所以你想想看已經差了10倍副總裁年輕人不希望年輕被留白更重要大家會怕
transcript.whisperx[266].start 7785.481
transcript.whisperx[266].end 7811.869
transcript.whisperx[266].text 是不是在這個時代淘汰中他是不是野蠻生存遊戲他是最後的被淘汰的那個人大家都在撐啊所以 主委我剛請教你那ETF一般小白可不可以去買他的最低的額度是多少我 我很久沒有買這些東西了好 那請那個貴買
transcript.whisperx[267].start 7815.2
transcript.whisperx[267].end 7840.858
transcript.whisperx[267].text 林董事長這個應該是你們在管的是不是我們主要是債券的ETF好債券的ETF那從你這邊開始他最低的購買的額度是多少每個人是不是都可以買還有從這幾年90幾年到現在買的人有沒有虧過錢每個單位的價格不太一樣有的40塊有的30塊有15塊
transcript.whisperx[268].start 7844.184
transcript.whisperx[268].end 7860.96
transcript.whisperx[268].text 最低的那個入門的門檻是多少有些發行價格15或10塊啊不能這樣請那個李總經理好了李總請簡總簡總我想10塊錢以上到看他背後的一攬子股票的組成到100多塊200多塊都有
transcript.whisperx[269].start 7862.847
transcript.whisperx[269].end 7891.386
transcript.whisperx[269].text 所以他只要出一百多塊他就可以買這個股票那個一百多塊是等於是要再乘以一千啦一張是一千股嘛對對對所以剛剛你這樣講可能他幾萬他就可以入門啊最近發行的新發行的十塊錢的話那就是一萬塊一個單位難怪啊主委這個問題就出現了多好的機會
transcript.whisperx[270].start 7892.932
transcript.whisperx[270].end 7920.923
transcript.whisperx[270].text 而且你告訴我這十幾年來如果他買了不賣有沒有虧錢的案例這個我不太清楚但是我想股票有漲有跌他的成分股有漲有跌但他是不是一定都賺我不曉得要從實證研究那現在變成是一種全民運動特別是空手的是小白的但他覺得一定要跟上這個風潮啊這個大浪來你不跟上去那他怎麼辦
transcript.whisperx[271].start 7921.701
transcript.whisperx[271].end 7934.168
transcript.whisperx[271].text 也許就被淘汰掉了所以主委我想請教一下那你對這些小白有什麼話說用力買還是不要買還是通通不要碰
transcript.whisperx[272].start 7935.888
transcript.whisperx[272].end 7959.326
transcript.whisperx[272].text ETF是一個應該是庶民可以去投資的商品但是必須你自己要了解這個商品的特質那當然監理機關這邊就要責成投信公司他必須要善盡告知這些投資人你的商品到底是什麼商品在這些公開說明書中都要詳細的跟投資人解釋清楚同時也不可以像您剛所說的
transcript.whisperx[273].start 7960.006
transcript.whisperx[273].end 7960.627
transcript.whisperx[273].text 所以你們準備怎麼做?
transcript.whisperx[274].start 7982.93
transcript.whisperx[274].end 7983.33
transcript.whisperx[274].text 主委請問一下這個買的機會都是一樣嗎?
transcript.whisperx[275].start 8010.789
transcript.whisperx[275].end 8037.69
transcript.whisperx[275].text 會不會是因為他是大咖會不會因為他是市場的這個老手他買得到小白都買不到啦這應該是券商這邊出行市場部分都是看券商這邊通路上大家去去做申購啦好謝謝那請問那個簡總簡總買得到的人就是一些老面孔有很多人買不到啊
transcript.whisperx[276].start 8038.427
transcript.whisperx[276].end 8059.429
transcript.whisperx[276].text 那你會不會開一個特別的窗口給這些買不到的人優先來成購跟委員報告其實ETF它是跟一般股票一樣掛上來以後呢在我們這個交易所或OTC的這個集中交易市場上面去做撮合所以它是很方便交易就類似股票一樣
transcript.whisperx[277].start 8060.029
transcript.whisperx[277].end 8079.148
transcript.whisperx[277].text 那委員有提到說有買到有沒有買到這是在開始在申購的時候他成立的時候申購的時候那他有一定的限制或有一定的地方那這個還沒有掛上去掛上去以後呢你隨時可以在這個交易所這邊或OTC的市場上面買得到
transcript.whisperx[278].start 8079.928
transcript.whisperx[278].end 8097.035
transcript.whisperx[278].text 對那個是在市面上當然你就是就用撮合的嘛對不對現在問題就是你要掛還沒掛上去的時候那為什麼張三里市他可以買這些小牌東都買不到勒我再跟您報告一下就是
transcript.whisperx[279].start 8098.561
transcript.whisperx[279].end 8121.031
transcript.whisperx[279].text 他也有一些他在通路在是不是決定要賣給特定投資人也要看KYC也要認識客戶這個客戶是不是屬於他的風險屬性跟這個商品是相同的所以不是說我隨便誰要買都要買券商這邊也要有KYC的程序要去做主委這個承銷制度是不是有問題呀
transcript.whisperx[280].start 8123.663
transcript.whisperx[280].end 8149.304
transcript.whisperx[280].text 那如果在這種既定的遊戲規範當中那小白永遠出不了頭了啊不會啊他有不同類型的ETF啊他都可以自己去做選擇沒有就最近最火紅的這一黨那您說的小白到底也許他也有一些投資的經驗我不太清楚那主委可不可以這樣這邊買不到的人吼那我們立法院這邊來登記然後拜託主委優先讓他們買
transcript.whisperx[281].start 8150.666
transcript.whisperx[281].end 8162.827
transcript.whisperx[281].text 最近這一檔上禮拜就已經結束了吧上禮拜五截止了啦上禮拜五截止為什麼有人買得到有人買不到他去找嚴大這個就是一個不公平性嘛
transcript.whisperx[282].start 8165.347
transcript.whisperx[282].end 8191.396
transcript.whisperx[282].text 這個是實務上可能就像趙偉說的請主委要注意一下在現有的這個遊戲規則當中強者恆強所有的新手所有的弱勢所有的小白永遠是人為刀齒我為魚肉希望主委可以打破這個不公平的一個制度這麼好康你怎麼不給別人給這些人為什麼都是這些老面孔
transcript.whisperx[283].start 8192.421
transcript.whisperx[283].end 8207.264
transcript.whisperx[283].text 不是你把資料全部調出來有多少的集中度百分比多少就是那些人好的通通都拿去壞的要成銷才不然你這個買不到你去買另外一個買了就套套了就慘
transcript.whisperx[284].start 8209.479
transcript.whisperx[284].end 8224.244
transcript.whisperx[284].text 對 這個制度是不公平的委員您提醒我們我們會去制度上去做一些研究謝謝委員好 謝謝羅委員的質詢我們剛剛已經有會議宣布休息10分鐘請兩位委員稍後好 我們休息10分鐘
transcript.whisperx[285].start 8832.881
transcript.whisperx[285].end 8849.954
transcript.whisperx[285].text 好 我們繼續開會接著我們請黃珊珊委員質詢謝謝主席 請黃主委有請黃主委委員好
transcript.whisperx[286].start 8858.156
transcript.whisperx[286].end 8873.805
transcript.whisperx[286].text 主委我想我們之前都討論過很多次那今天的主題是ETF我想就臺灣為什麼ETF這麼熱絡或者是現在這麼熱絡你個人的看法它的原因是什麼為什麼現在這個時間這麼因為這幾年臺股的這個市場是漲的
transcript.whisperx[287].start 8884.857
transcript.whisperx[287].end 8901.584
transcript.whisperx[287].text 對 臺股是這樣的但是 是不是另外也是證明說臺灣很多的民眾他其實我們缺乏很好的投資工具或者是他對於他的錢不知道要做什麼樣的投資然後會在這個時間特別往這個部分移動
transcript.whisperx[288].start 8903.924
transcript.whisperx[288].end 8917.509
transcript.whisperx[288].text 希望能夠比有定存好一點的收益的商品相對安全然後呢但這一次我們發覺其實因為它有些廣告有一些誤導的地方就跟網紅在中間有一些關係對,所以
transcript.whisperx[289].start 8919.813
transcript.whisperx[289].end 8945.782
transcript.whisperx[289].text 主委我想這個ETF其實在國內的資本市場的比例並不大但是它整體規模也僅多佔台股的1%、2%整體來說它應該不至於會造成好像非常非常嚴重的狀況可是看起來最近的狀況已經變成一種全民風潮就像剛剛我們的很多委員同意說很多人連房子都去貸款
transcript.whisperx[290].start 8946.522
transcript.whisperx[290].end 8973.186
transcript.whisperx[290].text 特別來買ETF那同樣的就是我們之前談到也是因為臺灣我們非常多的人我們的財經素養並不是很夠我們對於相關投資的判斷也不是很了解所以另外一種就是不好的就是被投資詐騙掉了那現在好一點的我們就是去買ETF我想問金管會你對於臺灣這些投股公司繼續推出ETF是採取鼓勵還是防堵的措施
transcript.whisperx[291].start 8974.741
transcript.whisperx[291].end 8978.524
transcript.whisperx[291].text 所以你們是採取只要符合我的規範你們就可以自由的推入對吧
transcript.whisperx[292].start 8990.433
transcript.whisperx[292].end 9008.445
transcript.whisperx[292].text 活絡資本市場是金管會的職責民眾也希望能夠有機會投資到比較好的產品重點在於從你這次推出的ETF熱潮提出的四幾個監理方案看起來就是表示這個市場現在是混亂的
transcript.whisperx[293].start 9010.352
transcript.whisperx[293].end 9036.865
transcript.whisperx[293].text 1.強化KYC表示原來沒有做到2.加強投資教育宣導5.表示原來的宣導不夠3.ETF的廣告規範這就是你剛剛講現在最嚴重的是這個廣告的問題4.評準金的規範顯然是不是在這場的ETF熱潮中發現了這些問題那之前有做過哪些的處置
transcript.whisperx[294].start 9037.796
transcript.whisperx[294].end 9039.658
transcript.whisperx[294].text 所以表示主委我們並不是要加強嚴管
transcript.whisperx[295].start 9056.803
transcript.whisperx[295].end 9084.314
transcript.whisperx[295].text 加強控管其實我跟你這個意思其實是說很多制度現在就有有沒有具體落實除了網紅的部分之外好網紅的部分這就是我今天要問的網紅的部分按照相關的投信投顧法它其實如果說有誇大或不實其實是有相關法則的對吧是問題它不是投信投顧所以那它是什麼這就是一個新興的一個市場那它現在是用哪個法規來處理
transcript.whisperx[296].start 9086.328
transcript.whisperx[296].end 9110.749
transcript.whisperx[296].text 公平法前兩天有發布一個規定有處理那現在就是要看投信跟網紅的連結能不能再找到一個關係去處理現在都是這些網紅他不是只有代言這些投資商品他還代言虛幣啊他還代言各種的投資啊因為我剛剛講的我們的民眾需要投資的工具跟標的但是他們
transcript.whisperx[297].start 9111.71
transcript.whisperx[297].end 9121.779
transcript.whisperx[297].text 找不到好的就會受到這些影響第二個他就可能不是被詐騙就是去投資這些可能比較不適合他的商品
transcript.whisperx[298].start 9122.774
transcript.whisperx[298].end 9141.287
transcript.whisperx[298].text 所以廣告才是這個案子最大的癥結點不是嗎就這個個案我覺得委員您的指示是我認同您的想法所以怎麼樣把這個廣告規範搞清楚第二個網紅代言ETF如果他發生了剛剛講的這些問題他不被處罰那我們罰頭信頭顧嗎
transcript.whisperx[299].start 9147.737
transcript.whisperx[299].end 9170.203
transcript.whisperx[299].text 我跟委員報告現在就在請公會再去討論怎麼去處理總而言之如果所以現在還要討論所以它不屬於投心投顧業可是我們在投心投顧法裡面投心投顧事業從事廣告公開說明的相關的限制要主管機關定制然後70條之一不是投心投顧業不可以有任何廣告的行為這兩條法其實蠻清楚的
transcript.whisperx[300].start 9172.964
transcript.whisperx[300].end 9197.281
transcript.whisperx[300].text 只是非屬投信投物業做了這個廣告你們現在的法則看起來在法裡面是一個很大的疏漏不是嗎對 所以要針對現在新興的這樣一個社群媒體的力量看是不是可以創造投信跟它的連結由投信去負責任所以現在的是問題就在於說我們相關的法規這中間的漏洞你什麼時候要把它補起來
transcript.whisperx[301].start 9198.427
transcript.whisperx[301].end 9225.447
transcript.whisperx[301].text 報告委員因為政情局因為我怎麼找都找不到法他們的法條所以表示你們也找不到那因為找不到所以無法可法所以他就繼續在各種不管是任何社群媒體上面繼續的宣揚這樣的東西主委啊這不是我們現代社會應該法治國家應該有的行為吧是但至少公平會有3月8號如果推到公平會就表示經濟會失職啊不是
transcript.whisperx[302].start 9227.048
transcript.whisperx[302].end 9251.491
transcript.whisperx[302].text 我不是說公平會我們就不做而是說我們怎麼樣去有一個邏輯的推動這個絕對不會到公平會去而已啊這個絕對是在金管會的轄下裡面你所主管的業務他們碰到這種東西主委很簡單如果他是連結那我們就必須要管理如果他不是這個進投估業他違反了這個規定我們就必須要處置
transcript.whisperx[303].start 9253.513
transcript.whisperx[303].end 9253.793
transcript.whisperx[303].text 好 第二個 如果
transcript.whisperx[304].start 9283.15
transcript.whisperx[304].end 9295.98
transcript.whisperx[304].text 這些要法假設我們找到法則了現在這些網紅不只代理這個ETF他還代言虛幣虛幣的部分有沒有法則?也沒有
transcript.whisperx[305].start 9298.238
transcript.whisperx[305].end 9301.961
transcript.whisperx[305].text 這個代言就跟銷售是有還是在法律關係上是不一樣的
transcript.whisperx[306].start 9328.598
transcript.whisperx[306].end 9346.804
transcript.whisperx[306].text 代言虛幣的部分虛幣部分目前我們沒有目前是根據資管平台這個部分但虛幣部分沒有所以網紅代言虛幣完全無法可管目前沒有這方面的如果他代言的話他算不算投信投股啊不算
transcript.whisperx[307].start 9348.342
transcript.whisperx[307].end 9365.081
transcript.whisperx[307].text 因為它不是有加證券是 所以它什麼都不是所以它是一個又是一個新存在而不知道如何管理的我們要訂專法今年9月份會有一個專法的所以要趕快立專法那現在的這種青黃不接的時候我們該怎麼辦呢
transcript.whisperx[308].start 9366.636
transcript.whisperx[308].end 9378.536
transcript.whisperx[308].text 我是民眾我看到網紅代言我就跑去買了就像剛剛很多委員在說大家都是因為這樣子跑去買的甚至把房子拿去貸款跑去買
transcript.whisperx[309].start 9379.827
transcript.whisperx[309].end 9399.407
transcript.whisperx[309].text 但他希望能夠有好的投資管道所以現在無法可管這段時間的空窗期我們要怎麼處理報告員容我跟您報告虛幣跟ETF可能不能同時類比ETF是我們核准的商品我同意但是我的意思是說兩個都要有人管
transcript.whisperx[310].start 9400.832
transcript.whisperx[310].end 9410.401
transcript.whisperx[310].text 虛弊是金管會在管但是我們是管平台但是網紅部分我在思考也許看看今年這個專法有沒有可能對這一塊去著落看看國際間的慣例
transcript.whisperx[311].start 9412.315
transcript.whisperx[311].end 9439.041
transcript.whisperx[311].text 因為在歐盟已經針對所謂的這個代言他們有相關的規範以為說這些目前為止其實是可以往前走的在歐盟的法案裡面對網紅已經有相關限制放在市場操縱禁止條款中所以外國是有案例的所以主委我希望這兩件事情不管是哪一種我們都希望把現在市場上面這種網紅代言
transcript.whisperx[312].start 9441.021
transcript.whisperx[312].end 9464.898
transcript.whisperx[312].text 但是他可能會造成人民會不了解相關商品內容的部分我覺得至少金管會要出手干預啊否則就像很多之前發生很多雷曼兄弟那個時候也是如此銀行在賣怎麼可能賣假的東西但是因為廣告太誘人了最後一個就是我想最後一個問題
transcript.whisperx[313].start 9467.011
transcript.whisperx[313].end 9481.216
transcript.whisperx[313].text 我們最近有一個營業員來陳情就是有關政交法如果違約交割的話然後目前為止因為很多都是手機APP在下單跟營業員其實沒什麼關係但是如果違約交割
transcript.whisperx[314].start 9485.905
transcript.whisperx[314].end 9506.097
transcript.whisperx[314].text 即使責任全歸客戶的話如果沒有辦法追到客戶目前營業員還是要負責任可是這個目前為止在手機已經下單的時候我不明白為什麼跟營業員到底還有什麼關係所以這個部分是不是可以請主委這邊也來做一些相關的修正或討論因為營業員認為說他從來沒見過這個客戶可是這個客戶
transcript.whisperx[315].start 9510.563
transcript.whisperx[315].end 9510.943
transcript.whisperx[315].text 謝謝華山會委員質詢接著我們請嚴匡衡委員質詢
transcript.whisperx[316].start 9550.842
transcript.whisperx[316].end 9556.689
transcript.whisperx[316].text 主席、各位律師委員主席我先請金管會黃主委有請黃主委
transcript.whisperx[317].start 9562.041
transcript.whisperx[317].end 9583.003
transcript.whisperx[317].text 委員好主委好主委那個ETF熱賣那許多投資人就不只解定存拿房子貸款那一窩蜂的都搶著要買那有很多人買不到那除了菜市場在那邊賣菜賣肉的
transcript.whisperx[318].start 9588.308
transcript.whisperx[318].end 9608.444
transcript.whisperx[318].text 連程序都可能不清楚在這種市場的區別之下投資人根本不了解基金的特性那這樣子進場那就是投信公司的廣告跟這些網紅的宣傳那流動資金大量湧入ETF市場
transcript.whisperx[319].start 9609.725
transcript.whisperx[319].end 9625.931
transcript.whisperx[319].text 投資人也是看到這些社群平台還有網紅的說明去進行買賣那針對投信跟網紅的部分那修正相關規定還有強化控管制度的部分是不是請主委說明一下
transcript.whisperx[320].start 9627.014
transcript.whisperx[320].end 9644.208
transcript.whisperx[320].text 有,謝謝委員您的垂詢我想這部分的確是我們在最近看到投信在行銷上的一個一個我們覺得需要去立刻去調整的地方因為這些網紅他可能所在現場上沒有讓
transcript.whisperx[321].start 9645.049
transcript.whisperx[321].end 9664.939
transcript.whisperx[321].text 投資人理解到其實他後面是有跟投信做連結的那所以對他的話術就可能覺得他是很公正的那其實他是後面是有投信跟他有一些商業上的契約那這部分怎麼規範我剛才有報告在報告也有講我們儘快6月底之前要跟工會把這個自律規範給他訂出來
transcript.whisperx[322].start 9666.46
transcript.whisperx[322].end 9668.282
transcript.whisperx[322].text 這段時間我們要怎麼樣去做一個一個有效的宣傳廣告讓這些
transcript.whisperx[323].start 9686.201
transcript.whisperx[323].end 9714.216
transcript.whisperx[323].text 民眾可以瞭解到說真正的實情狀況不要到時候因為這些網紅他有一定的影響力是那不要說公信力啦說影響力應該比較貼切那所以造成說到時候因為這個運貨風的購買然後搶快那到時候因為這樣up down或者說遭受到這些虧損
transcript.whisperx[324].start 9715.296
transcript.whisperx[324].end 9732.804
transcript.whisperx[324].text 然後呢後來會衍生出更多的問題也是金管會主管機關到後來要面對的那所以我們6月底之前要把這個規範出來但是這段時間我們現在才3月是 我跟您報告我們在報告中也有說有3個月的時間
transcript.whisperx[325].start 9733.504
transcript.whisperx[325].end 9760.813
transcript.whisperx[325].text 其實我們在去年11月就有請交易所購買東西我們會請工會用新型態的媒體包括這些年輕人喜歡用的管道去宣導讓他瞭解到投資這些商品該注意到的金融的知識這個商品安不安全可不可靠這個要靠主管機關來做更多的釐清那因為現在我們知道說現在熱錢都在房地產那因為現在ETF
transcript.whisperx[326].start 9763.674
transcript.whisperx[326].end 9784.811
transcript.whisperx[326].text 這麼趨熱的情況之下現在在ETF總市值有多少4兆多包括債券比較多債券型比較多股票大概1兆5左右4兆多那表示說有這麼多的熱錢都跑到ETF這邊過來是不是也分擔了一些跑到房地產去的這些錢
transcript.whisperx[327].start 9787.662
transcript.whisperx[327].end 9811.801
transcript.whisperx[327].text 這個我不是專家我想大家民眾對於類似這種商品有一定程度的興趣吧臺灣2月份的這個消費者CPI指數年增率3.08那創2022年7月以來的最高的新高最高那是不是因為民眾因為要抗通膨所以把錢投到房市那又看到ETF這麼熱大家搶著買所以又把錢
transcript.whisperx[328].start 9816.164
transcript.whisperx[328].end 9816.464
transcript.whisperx[328].text 我請主委說一下
transcript.whisperx[329].start 9835.113
transcript.whisperx[329].end 9861.29
transcript.whisperx[329].text 我想商品是中性的那當然臺股的ETF因為可能最近這幾年臺股的這個本身比較成長所以大家看到過去的績效覺得可以繼續去投資當然ETF下面有不同的成分股那這些股票漲漲跌跌總是有它自己本身的一些規矩規則我想還是要特別
transcript.whisperx[330].start 9862.19
transcript.whisperx[330].end 9863.331
transcript.whisperx[330].text 平均地權條例新法在去年的7月全面上路
transcript.whisperx[331].start 9879.466
transcript.whisperx[331].end 9886.852
transcript.whisperx[331].text 最重要的就是禁止預售屋跟新建成屋的換約轉售那違則可處罰50到300萬當民眾購買預售屋禁止轉約後那一旦反悔就只能夠選擇退戶
transcript.whisperx[332].start 9898.786
transcript.whisperx[332].end 9919.214
transcript.whisperx[332].text 那退戶要收取高達15%的違約金民眾當然不願意被罰這一筆錢當然發現自己購買的預售價格又上漲那是不是就會轉接到這個檯面下的一個黑絲的交易
transcript.whisperx[333].start 9920.194
transcript.whisperx[333].end 9932.596
transcript.whisperx[333].text 那如果 是不是這種情況讓有心人就會在地下操作這樣子的情況發生要如何能夠金管會這邊要怎麼樣去抑制炒房
transcript.whisperx[334].start 9934.408
transcript.whisperx[334].end 9961.797
transcript.whisperx[334].text 報告委員其實您說的這部分是屬於不動產交易的實務今晚會在行政院的穩健方式的政策下基本上就是強化金融機構對於不動產受信用的品質跟風險管理那另外其他部分有一部分是中央銀行在選擇信信用管制上的一個政策
transcript.whisperx[335].start 9964.218
transcript.whisperx[335].end 9989.374
transcript.whisperx[335].text 當然房價上漲的原因包含很多材料變貴、工錢、薪資增加、土地成本增加的部分對於房地產上漲的預期心理不管推出怎樣的打房政策投資者還是願意購買房子就希望說抗通膨讓錢能夠保值就算打房的策略作效也沒有辦法讓房價
transcript.whisperx[336].start 9991.555
transcript.whisperx[336].end 10009.66
transcript.whisperx[336].text 有效的回跌那房價趨勢還是往上的所以整體來講打房是不成功的是不是我可不可以請教主委這個說法我們經常會其中之一我們不太適合去評估但是基本上我們對於尤其是這個銀行的壽性來講
transcript.whisperx[337].start 10012.825
transcript.whisperx[337].end 10033.149
transcript.whisperx[337].text 對於這個借物跟不動產的預放比率都是0.1516左右大概都很低表示資產品質其實是可以的是可以的可以接受的好謝謝主委那請主席請嚴副總裁曲副總裁委員好
transcript.whisperx[338].start 10040.098
transcript.whisperx[338].end 10060.926
transcript.whisperx[338].text 副總裁那主委請回座本席上個禮拜有問過主席長認為如果將主席長說如果把電費調漲考量進去所以今年4月電費調漲我覺得通膨率依然會高於通膨的警戒線
transcript.whisperx[339].start 10062.447
transcript.whisperx[339].end 10080.2
transcript.whisperx[339].text 那電費調漲是勢必也是利率調漲與否的一個焦點我想國人都非常關心這個議題那FED在2月CPI報告中升幅略高於預估
transcript.whisperx[340].start 10081.243
transcript.whisperx[340].end 10096.809
transcript.whisperx[340].text 那對降息將更加審慎在各國包含FED ECB都在考量降息的過程當中的情況之下我國是否有可能會因為電費的調漲反向升息可不可以告訴我們
transcript.whisperx[341].start 10099.363
transcript.whisperx[341].end 10127.756
transcript.whisperx[341].text 那個報告委員因為那個我們在每次開理事會之前我們都會做整體的物價房地產市場的評估那因為我們禮拜四就要開會了所以我今天不方便直接回答您這邊的問題而且每一個國家的貨幣政策或利率政策其實是根據他當時候的那個資料去決定的所以我們要等到禮拜四以後我們才會正式公布
transcript.whisperx[342].start 10129.137
transcript.whisperx[342].end 10131.261
transcript.whisperx[342].text 禮拜四才會有答案我問的是說這個
transcript.whisperx[343].start 10138.211
transcript.whisperx[343].end 10159.798
transcript.whisperx[343].text 所以我們升息是不是會受到因為電價的調漲所以影響到我們升息你可不可以回答我是不是因為我們看到就是說我們原來去年底的預估的時候是1.89那現在因為預期電價調整也造成一些預期心理的形成所以我們可能會善調我們對物價的預測
transcript.whisperx[344].start 10164.72
transcript.whisperx[344].end 10192.572
transcript.whisperx[344].text 那其實貨幣政策除了考慮物價之外也還有考慮其他的很多因素升息是不是一種抑制熱錢投入房市的一個方法我不知道那是不是可能我們如果用升息這個手段也是一樣會付出經濟成長減緩的一個代價不只這樣啦因為所有的貸款這個族群都會受到影響
transcript.whisperx[345].start 10193.732
transcript.whisperx[345].end 10212.833
transcript.whisperx[345].text 所以升息是不是唯一的方法那是不是一定會升息報告委員因為我們在討論貨幣政策的利率調整所以我們其實考慮的因素是多方的絕對不是一個因素謝謝好 謝謝好 謝謝顏寬恆委員的諮詢接著我們請武力華委員諮詢
transcript.whisperx[346].start 10230.511
transcript.whisperx[346].end 10231.593
transcript.whisperx[346].text 謝謝主席 有請主委
transcript.whisperx[347].start 10239.935
transcript.whisperx[347].end 10261.37
transcript.whisperx[347].text 謝謝主委今天專報是來報ETF熱賣那我們從去二月份交易熱絡的前十大ETF我們可以看一下他們標榜的投資高地很多都是寫高股息、高股息、高股息那幾乎是佔了一半以上
transcript.whisperx[348].start 10262.17
transcript.whisperx[348].end 10270.519
transcript.whisperx[348].text 那也就是說高股息三個字呢好像成為必勝的命名方程式就是一定會大賣主委你也是這麼看嗎
transcript.whisperx[349].start 10273.598
transcript.whisperx[349].end 10293.149
transcript.whisperx[349].text 我想他只是標榜他成份股可能過去的這個股力比較好這個我想這個我不太適合做評論是不是必勝不能做評論大家都喜歡用這三個字那沒有關係你說要看成份股我們看一下上個月二月
transcript.whisperx[350].start 10294.19
transcript.whisperx[350].end 10310.877
transcript.whisperx[350].text 前四名的ETF我們看一下它的成分股其實很類似非常的類似那為什麼我們關心這個問題因為我們可以來看以這二月四大高股息的ETF它的成分股當中的大聯大
transcript.whisperx[351].start 10312.445
transcript.whisperx[351].end 10327.73
transcript.whisperx[351].text 幾乎他們這四家就已經佔比將近18%也就是說ETF甚至已經要成為公司最大股東那再換算看他的30萬張持股如果以他的日均成交量
transcript.whisperx[352].start 10328.41
transcript.whisperx[352].end 10350.843
transcript.whisperx[352].text 一萬張計算如果發生什麼變動一旦發生什麼變動它最多是需要30天才賣得完就會造成流動性的影響所以想要請教一下主委金管會這邊是不是有針對全台股ETF市場的流動性進行壓力測試看看是不是太集中某一些部分股票
transcript.whisperx[353].start 10353.444
transcript.whisperx[353].end 10367.852
transcript.whisperx[353].text 謝委員您非常的專業我想您提到那個某一檔股票那個應該在整個ETF的成分股中沒有那麼大概就也許有一些這種請問那是極少的個案但至於說有沒有可能
transcript.whisperx[354].start 10368.652
transcript.whisperx[354].end 10389.22
transcript.whisperx[354].text 同賣同買這個情況我想在我們的這個報告中我們在今年1月份就請交易所供來中心就這個整個市場風險的監控去做建立制度目前大概有一些有正在研究中我想這就是我們要處理的問題但是這個問題不見得會發生只是把制度上去精進
transcript.whisperx[355].start 10390.917
transcript.whisperx[355].end 10405.559
transcript.whisperx[355].text 因為我們也不專業絕對沒有你專業委員比較專業你剛問的問題都非常的深入標的因為我們只是擔心說像我們看這四家如果他的成分股過度集中他就會帶動指標公司的漲跌
transcript.whisperx[356].start 10406.38
transcript.whisperx[356].end 10430.709
transcript.whisperx[356].text 那我們也會擔心說他會邊緣化一些中小型股那造成後續的投資困難那另一方面呢也擔心公司因為配息不足那公司他就會被踢出一些成分股那公司又為了增加配息他就會減少一些投資那影響到公司的成長所以剛剛你有說那如果評估有影響的話那金管會的強化控管措施會是什麼
transcript.whisperx[357].start 10432.642
transcript.whisperx[357].end 10450.837
transcript.whisperx[357].text 這個正在研究中主要就是這種如果成分股集中在某幾檔上市公司那這種如果對市場上的波動上他有沒有辦法有流動性的因應管理這部分正在研究處理但目前我想還沒有這個問題
transcript.whisperx[358].start 10452.538
transcript.whisperx[358].end 10467.713
transcript.whisperx[358].text 整個的交易的市值在每天大概1%左右基本上應該還不到大家關心的會不會操控這個股價這個部分謝謝主委我們總是希望未雨綢繆因為我們的投資很多都是小資族
transcript.whisperx[359].start 10468.694
transcript.whisperx[359].end 10490.916
transcript.whisperx[359].text 其實他們都是很辛苦都是畢生的積蓄那我們這裡呢就是看到這一次的這個0094年的這樣的一個沸沸揚揚的新聞他的討論度聲量呢我們可以看到上個禮拜一度比柯文哲還要高那為什麼我們這裡會提到這個因為我們有憂心啦其實上週
transcript.whisperx[360].start 10491.937
transcript.whisperx[360].end 10499.024
transcript.whisperx[360].text 央行總裁來也有被問到這個問題那有問楊總裁說他怎麼看ETF你知道他怎麼回答嗎
transcript.whisperx[361].start 10501.294
transcript.whisperx[361].end 10527.157
transcript.whisperx[361].text 您不知道好像圖上面有看到對 他說就是一群羊跳下去那一群羊跳下去如果是正常的羊還好我們是擔心說如果帶頭的是間諜綿羊那在這裡我們就可以看到他討論度很高以這個Dcard來講他就會出現很多的推薦文那我們也不知道這是真正的投資客的發文還是投信他是去買網路的行銷廣告
transcript.whisperx[362].start 10528.519
transcript.whisperx[362].end 10546.397
transcript.whisperx[362].text 所以在這裡就是想要特別請教主委針對網路的這種行銷廣告你們的專案經檢是不是應該要一併的檢查那未來是不是也要強化揭露我的意思是說例如他發文的時候是不是要去要求他說是誰委託發文
transcript.whisperx[363].start 10547.518
transcript.whisperx[363].end 10558.787
transcript.whisperx[363].text 也就是說廣告主是誰那當他做推文的時候也要寫他是代表某某頭性我想這個資訊揭露是很重要的那我們會朝這個方向去做嗎
transcript.whisperx[364].start 10560.123
transcript.whisperx[364].end 10580.936
transcript.whisperx[364].text 是的我想委員這也是我們看到目前不論在我們日常監理或是我們最近做了一些檢查看到了投信公司有那種跟網紅之間的關係然後網紅做不當的行銷的這個缺失所以我們會在6月底之前跟投信投物公會擬定一個自律規範去做處理
transcript.whisperx[365].start 10581.716
transcript.whisperx[365].end 10601.127
transcript.whisperx[365].text 很好謝謝主委關心這個問題就是大家因為看到我們很多的小資族新聞上也有出家人那就是因為央行的利率不高嘛那銀行的定存利率也低又看到ETF它的月配息高而且穩定所以呢大家就解除定存
transcript.whisperx[366].start 10602.649
transcript.whisperx[366].end 10617.809
transcript.whisperx[366].text 來買報這個ETF那我是這樣想除了加強管制它節流我覺得金管會也是要開源提供其他好的金融商品那像最近金管會提出的這個REIT它的不動產證券化
transcript.whisperx[367].start 10619.671
transcript.whisperx[367].end 10636.546
transcript.whisperx[367].text 他其實相對的就是租金收益利息是穩定的齁但是我們也是覺得有一些隱憂啦怎麼說呢就是他會不會去影響住宅市場讓房價上升又或者因為他也可以去做一些基礎設施那民眾能不能參與這種綠能的投資 主委
transcript.whisperx[368].start 10639.874
transcript.whisperx[368].end 10660.744
transcript.whisperx[368].text 謝謝委員我們的要送給大院審查的投信投估法裡面的所謂的REIT他沒有連接住宅所以不會有大家顧慮會使房價上升的問題但是他有包括這種綠能投資只要他能夠有固定的現金流量他是可能被證券化的所以這個是跟委員報告
transcript.whisperx[369].start 10661.644
transcript.whisperx[369].end 10681.391
transcript.whisperx[369].text 好 謝謝主委那我現在就是要提到說另外一個問題因為我知道的是環境部有委託我們金管會要來協助建置溫室氣體減量額度的交易機制簡單來講就是碳交易機制那我們也看到你們的報告有提到說2023年
transcript.whisperx[370].start 10683.192
transcript.whisperx[370].end 10697.082
transcript.whisperx[370].text 政交所會收集國外溫室氣體自願交易機制跟經驗供環保署參考想要請教一下主委各國交易機制報告已經完成了嗎那是不是有對外公開
transcript.whisperx[371].start 10699.631
transcript.whisperx[371].end 10721.061
transcript.whisperx[371].text 這個跟委員報告這應該是去年上去年上半年我們根據氣候邊遷因應法當時有立委建議在那邊加一個由環境部指示什麼相關主管機關所以就指示金管會請交易所配合所以這個相關所有的政策都是配合環境部去處理的金管會本身沒有去涉入
transcript.whisperx[372].start 10721.681
transcript.whisperx[372].end 10734.895
transcript.whisperx[372].text 好那至少你們去年底你們已經進行了第一拍嘛國際探索的掛牌交易對12月嘛去年年底而且呢這個第一次第一拍還售出了8.8萬噸的探權然後國內呢有27家的企業
transcript.whisperx[373].start 10740.12
transcript.whisperx[373].end 10755.618
transcript.whisperx[373].text 他們都已經搶購一空那其中呢萬海他也已經抵銷了2000噸的國際探權而且他有標榜一個叫日台探中和航線那我想請教國內呢國內探權交易機制的建制狀況呢
transcript.whisperx[374].start 10761.052
transcript.whisperx[374].end 10777.748
transcript.whisperx[374].text 這碳交易所是環境部的政策所主導的所以意思就是說環境部提供的方法學都是由他來發號施令是你們只是被動的他叫我們做什麼我們就做什麼他請交易所成立一個碳交易所去配合
transcript.whisperx[375].start 10778.488
transcript.whisperx[375].end 10792.174
transcript.whisperx[375].text 我會去問我問過環境部啊那至少我也想要問一下主委就是國內探權交易的建制狀況而且520以前會不會有第一批的國內探權上架我請那個交易所檢總經理來說沒關係就簡單回答
transcript.whisperx[376].start 10795.605
transcript.whisperx[376].end 10811.541
transcript.whisperx[376].text 我們在國內減量的這個交易的建制上面初步在7月份會有初步的建制下放所以7月會有對不對我之所以這樣子講上週的新聞我們可以看到百噸以下的碳交易免手續費
transcript.whisperx[377].start 10812.702
transcript.whisperx[377].end 10839.542
transcript.whisperx[377].text 而且是說環境部擬修正避免業者規避結果呢 細看內容他上面是說在3月8號的說明會與會的金管會代表認為未達100噸的100公噸的小額交易若免收5%的手續費事業單位有可能會藉此將大額交易切割成小額交易來規避手續費表示金管會的意見很有影響力
transcript.whisperx[378].start 10841.043
transcript.whisperx[378].end 10855.791
transcript.whisperx[378].text 那我是覺得我覺得並不是那麼有道理甚至我覺得這種講法並不是那麼有道義啦為什麼因為金管會探交所你們可以透過你們的監督機制去防止切割啊為什麼要因業費時為什麼要因大費小
transcript.whisperx[379].start 10858.152
transcript.whisperx[379].end 10876.858
transcript.whisperx[379].text 因為你要知道手續費過高是不利小額交易沒有錯但是我們要講的就是說很多都是小額交易啊我是原住民我很關心很多的原住民族人都很關心碳匯碳定價我們來看一下全台的原保地有6.7
transcript.whisperx[380].start 10880.44
transcript.whisperx[380].end 10899.448
transcript.whisperx[380].text 以元寶地來看領這些淨法補償的平均每一個人會有1.5公頓1.5公頃那我現在是說未來如果我們無論採既有人工林的書法與再造或森林經營攤貴的方法學專案我們都希望是以小額的自然人為主體
transcript.whisperx[381].start 10900.288
transcript.whisperx[381].end 10913.556
transcript.whisperx[381].text 所以現在大家詬病的就是否企業嘛所以國內探權的我們也一直在等所以呢我是希望說主委我想請教你探交易的參與者後續您認為是不是應該要納入自然人
transcript.whisperx[382].start 10915.114
transcript.whisperx[382].end 10939.106
transcript.whisperx[382].text 我跟您報告這個東西都是環境部在規劃可是您今天對我們的指證我們會再跟您請教謝謝因為你們一定會有一個平台會開會所以我希望我們這個地方也能夠有一個共識知道我們在想什麼所以你們的意見很重要主委我是不是請相關同仁包括交易所去您辦公室跟您請教好 謝謝主委 謝謝主席
transcript.whisperx[383].start 10942.629
transcript.whisperx[383].end 10960.929
transcript.whisperx[383].text 謝謝吳立法委員的質詢接著我們請王紅薇委員質詢好 謝謝主席我想先請中央銀行副總裁先請嚴副總裁
transcript.whisperx[384].start 10965.99
transcript.whisperx[384].end 10984.842
transcript.whisperx[384].text 委員好副總裁好今天主要要談ETF不過呢我也有剛才仔細看你們的報告因為大家也會關心現在過多的游資除了追逐ETF之外也很擔心這些錢會不會倒向會不會流向房市那現在呢就是以
transcript.whisperx[385].start 10986.042
transcript.whisperx[385].end 11014.438
transcript.whisperx[385].text 現在政府來說我想基本上包含今年平均定學條例的上路還有房屋稅差別稅率2.0準備今年7月實施基本上這個都算是一個打房的措施那我想請問一下中央銀行在去年有這個算是2023年版的一些相關的這個打房措施那請問一下2024年中央銀行有沒有一些打房措施
transcript.whisperx[386].start 11017.137
transcript.whisperx[386].end 11034.506
transcript.whisperx[386].text 報告委員因為我們每一次在理事會之前我們都會針對國內的金融市場和房地產市場做分析和評估所以其實在每一次會議的討論裡面我們都會涉及這個問題那是不是會有政策出現可能就是由理事會來決定
transcript.whisperx[387].start 11035.782
transcript.whisperx[387].end 11052.961
transcript.whisperx[387].text 所以這次禮監事會裡面也有針對會不會擔心熱錢流入房市使得房市過熱的這樣的議題會在禮監事會裡面討論我剛才跟委員報告就是說我們在過去幾年每一次的禮事會都會針對房地產市場問題有所討論
transcript.whisperx[388].start 11055.316
transcript.whisperx[388].end 11080.801
transcript.whisperx[388].text 好所以呢就是2024年因為到現在為止大家也在關心嘛你們包含一些貸款陳述選擇性信用管制會不會繼續的持續所以都會在禮監事會討論所以也不排除會有2024年版的打房措施囉我們每一次在禮事會後的新聞稿你現在變成是在倒帶了好那就謝謝副總裁時間暫停時間暫停
transcript.whisperx[389].start 11083.615
transcript.whisperx[389].end 11112.072
transcript.whisperx[389].text 我請我們那個金管會有請黃主委黃主委是 委員好主委00940他們把它講成說快樂領袭就是你就是你但是呢同時呢也很特殊的在這與此同時已經出現了自救會而且超過兩萬名自救會那麼的會成員那所以
transcript.whisperx[390].start 11113.106
transcript.whisperx[390].end 11123.761
transcript.whisperx[390].text 我們過去在講股市說如果啊這個街上的插鞋童都在談股市的時候就代表股市過熱了以前是有這種說法那最近的00940的這個熱啊比如說我去到電視台上節目
transcript.whisperx[391].start 11129.008
transcript.whisperx[391].end 11142.955
transcript.whisperx[391].text 那些書畫師一邊書畫如果他是一些來上投資理財的他們就開始問要不要買00940然後呢很多的小資族在辦公室都在說你有沒有買00940所以
transcript.whisperx[392].start 11147.489
transcript.whisperx[392].end 11166.784
transcript.whisperx[392].text 各位你會不會覺得現在確實ETF特別就是之前還有一檔這樣加起來大概好像已經破了好幾千億我已經忘了那個數字那非常非常的驚人尤其00940三天就破一千億然後聽說好多的券商的電腦都因此而當機了
transcript.whisperx[393].start 11167.987
transcript.whisperx[393].end 11176.806
transcript.whisperx[393].text 所以諸位你認不認為現在的這個所謂高息高配息的ETF是不是真的過熱了
transcript.whisperx[394].start 11180.018
transcript.whisperx[394].end 11208.575
transcript.whisperx[394].text 我想主要是因為過去幾年臺股的表現不錯所以這種以臺股為成分股的ETF的確它有配到它有長到天頭對它股價賺了然後它配息也配得很好是 可能讓投資人覺得那我繼續買下去可能也會達到這個目標大家頭耳相傳那我說此時此刻是不是過熱了以我們過去看到的這樣股市這麼多的商品股票也好
transcript.whisperx[395].start 11209.235
transcript.whisperx[395].end 11228.948
transcript.whisperx[395].text 他算不算過熱其實應該是反映現在國人的儲蓄率高他們希望找一種能夠有這種固定能夠收回資金的這樣的一個商品去投資那這種商品正好符合國人的期待但是另外還有一個要跟您請教的就是其實中間有一些
transcript.whisperx[396].start 11230.669
transcript.whisperx[396].end 11257.844
transcript.whisperx[396].text 網紅他在跟投資人傳達訊息我知道你們最近會有一些措施來看一下我們台股的ETF其實規模真的是狂飆當然它的原因有很多種一方面股價上漲如果股價下跌說實在也不會這麼熱因為大家都說它高配息但是很多也去忽略它有它的投資風險在所以你可以看到這個是
transcript.whisperx[397].start 11259.865
transcript.whisperx[397].end 11282.215
transcript.whisperx[397].text 現在到今年二月底已經飆到一兆五千多億這是非常非常高啦當然相對而言他也挹注了臺股的一個資金動能我們來看下一頁我知道金管會要出手了我剛講說你是不是覺得過熱你一直不願意講但是呢我相信你一定是覺得過熱不然的話金管會為什麼要出手呢
transcript.whisperx[398].start 11282.995
transcript.whisperx[398].end 11311.058
transcript.whisperx[398].text 但是呢你這邊我待會我先問你有關於限制網紅宣傳的部分當然你說要有標示警語就像什麼基金投資有賺有賠我們都常常聽到的你不能強調月配息那我這些我都還可以接受但是聽說你們要要求網紅在宣傳的時候你不能說打敗定存那我覺得這點就有點奇怪了他本來就打敗定存
transcript.whisperx[399].start 11311.678
transcript.whisperx[399].end 11325.806
transcript.whisperx[399].text 今天如果不是定存利率那麼低的話為什麼這麼多人去追求ETF呢所以他確實在他的這個配息上面他確實打敗定存那你不准他講我覺得這點沒有什麼道理吧
transcript.whisperx[400].start 11326.84
transcript.whisperx[400].end 11344.001
transcript.whisperx[400].text 我能跟您報告這個規範還在工會在研擬中所以最後怎麼樣去確定還不確定只是說不希望把商品跟定存去做連結了就像以前寶刀一樣你做連結但是我覺得重點你如果說就配息來講它真的就比不過定存了嘛對不對
transcript.whisperx[401].start 11344.762
transcript.whisperx[401].end 11350.683
transcript.whisperx[401].text 但是我覺得就是要強調它的一個投資風險不是所有ETF都賺也有一些ETF都點破淨值的也有啊後面在點頭因為你們懂可是很多的小資族很多的年輕人或者很多的一些他對股票投資不是那麼熟悉看到大家都在賺股票對不對然後有這樣的一個商品
transcript.whisperx[402].start 11369.868
transcript.whisperx[402].end 11393.137
transcript.whisperx[402].text 所以他覺得他要去投資這個也無可厚非那當然網紅宣傳他會有推波助瀾的效果可是我真的覺得就是你們的相關的要求也要合理啦我聽到說不能打敗定存我就覺得這是什麼人家實話不能講嘛另外請教一下你們會不會去訂定設立募集上限目前沒有
transcript.whisperx[403].start 11394.994
transcript.whisperx[403].end 11411.687
transcript.whisperx[403].text 完全沒有這樣的考量沒有所以現在什麼00940這樣子一檔就是可以吸金吸這麼多以後可能這種盛況不大容易再看到了那麼你不準備未來要去定一個募集上限
transcript.whisperx[404].start 11412.703
transcript.whisperx[404].end 11441.21
transcript.whisperx[404].text 我現階段沒有這個想法因為我想現階段主要還是這次也有一些特別的情況主要還是覺得在宣我們最近1月初檢查幾家大投信發覺網紅在中間有一些不太合適的推波助瀾的效果希望有一些規範這次針對網紅目前上線目前沒有這個可能很多投信會非常感謝你好來下一頁
transcript.whisperx[405].start 11442.932
transcript.whisperx[405].end 11472.079
transcript.whisperx[405].text 我們要發主動型ETF嗎這個是有啦不過我剛才郭昭偉在質詢的時候我覺得郭昭偉講的也很有道理所以我們會通案再考量通案考量然後包含他要用全透明式或者是半透明式那我看好像現在有這個方向嗎這個可能是工會跟政企局在討論目前還沒有還沒有確定是不是沒有
transcript.whisperx[406].start 11472.847
transcript.whisperx[406].end 11483.335
transcript.whisperx[406].text 因為看起來好像工會比較傾向於是全透明式我不了解不過委員有什麼特別的指示可以交代給我們我們來做參考
transcript.whisperx[407].start 11483.871
transcript.whisperx[407].end 11511.462
transcript.whisperx[407].text 我覺得你們應該把它利弊得失通通把它列出來我覺得這個有關主動型ETF我不會說覺得不應該去推可是相關的什麼全透明半透明我覺得你應該把所有的相關的利弊得失通通列出來然後再去做好好的研究這樣是比較好的方式我們是會今天特別謝謝委員還有剛剛郭昭瑋有給我們很多指導我們會一併跟工會去討論謝謝
transcript.whisperx[408].start 11513.766
transcript.whisperx[408].end 11517.867
transcript.whisperx[408].text 好 謝謝王宏偉委員的質詢 接著我們請陳玉珍委員質詢主席我們請這個主委來有請黃主委委員好
transcript.whisperx[409].start 11537.655
transcript.whisperx[409].end 11564.653
transcript.whisperx[409].text 這個我們看到我剛看很多委員都有質詢有關這個ETF這件事情最近這麼熱好像如果沒有買就跟不上這個時代潮流那我想到這當然幾個原因第一個我們台灣的錢大概算是很多啦然後第二個可能民眾對於這樣的這種金融商品的理解度不夠所以你們也有說你們要做一些相關的這個政策
transcript.whisperx[410].start 11565.273
transcript.whisperx[410].end 11587.228
transcript.whisperx[410].text 所以我想我又根據在在根據剛剛幾位委員的這個質詢我想有些問題還有想要跟您請教第一個剛剛那個王委員說這個沒有募集上限這件事情所以你說的是說每一檔的他的這個ETF他每一檔的話他就從頭開始募集可以一直募集到隨時是嗎沒有時間點嗎
transcript.whisperx[411].start 11590.68
transcript.whisperx[411].end 11605.767
transcript.whisperx[411].text 沒有他募集期間本來在發行計畫中都有定所以有時間只是說我們沒有先這一段沒有說你這一檔最多只能募集到多少所以說比如說那你有沒有給他他會先給個計畫那這中間會不會有一個大概是一般會給多久的時間呢
transcript.whisperx[412].start 11610.544
transcript.whisperx[412].end 11630.301
transcript.whisperx[412].text 你給他募集的時間一個月、兩個月、一年、兩年?一般募集期間大概7天左右目前在講這一檔他超過7天應該是有9天所以他有一個時間你們現在的規定說他的募集時間是沒有上限的以現在的規定
transcript.whisperx[413].start 11635.677
transcript.whisperx[413].end 11656.142
transcript.whisperx[413].text 同仁表達現在規定是一個月但是他猴心公司可能自己去評估他的能力所以不見得要募那麼長他也許只有一段時間但是你有一個時間的上限是一個月他可以七天就說我募夠了但你跟他金額是沒有上限的比如說我要這一檔目前沒有規定上限
transcript.whisperx[414].start 11658.723
transcript.whisperx[414].end 11685.342
transcript.whisperx[414].text 你們沒有規定那他也可以比如說募到五千億一兆也是可以的嗎是這樣子嗎我們沒有規定上限那現在這個情形是這樣子那現在大家也許對很多東西不了解但是有點像以前這個臺灣人很喜歡一窩蜂嘛比如說買蛋塔看到大家排隊就跟著買看這個當然還有一個宣傳宣傳說這個東西就是尤其剛剛我看主委一直在講說比如說因為配息的關係嘛符合臺灣人的這種喜好度
transcript.whisperx[415].start 11685.862
transcript.whisperx[415].end 11690.187
transcript.whisperx[415].text 我看到你們的管理裡頭後面有講說你們要檢討你們檢討的部分要加強包括ETF配息政策是否適當你們有這樣說嘛 對不對
transcript.whisperx[416].start 11702.976
transcript.whisperx[416].end 11730.177
transcript.whisperx[416].text 這是現階段在做的事情你們要檢討這一段那請問你們對他的他提出來這個配息就他要提一個計畫他的配息計畫裡頭他可不可以我想請問我問的都很基本的問題請問這個比如他可不可以說我每個月就配息2%可不可以我們只會去討論他配息的來源是不是合理但是他他配多少請局長來你們回答一下你們可以這樣規定嗎
transcript.whisperx[417].start 11732.608
transcript.whisperx[417].end 11754.054
transcript.whisperx[417].text 就是說ETF要在他們的公開說明書裡面說明說他配息的政策是怎樣對 比如說他可不可以跟民眾保證說每個月就是配息2%可不可以他不能保證還是說他可以保證反正他會不會鑽石他的心他不可以保證他不可以嘛 他不可以做他不可以保證說他會配多少嘛 對不對
transcript.whisperx[418].start 11755.094
transcript.whisperx[418].end 11784.474
transcript.whisperx[418].text 意思說他不能說我一定會給你2%或是給你4%或給你1%1%或他給你一年2%可不可以這樣保證定存就可以嘛那這個可不可以這不可以因為這個要看他這個基金背後的成分股他配息確實的情形我的意思是說即便這個這個ETF他的投資他會來假設投資比如說股票一直往下跌他也不賺錢他還是他如果跟百姓答應跟投資人答應說我就是要給一年就是5%好了10%好了他可以這樣做嗎他可不可以這樣做
transcript.whisperx[419].start 11786.135
transcript.whisperx[419].end 11802.849
transcript.whisperx[419].text 他不可以說我要配給他一定要看他實際的所以他不可以這樣說嗎他不可以這樣說的話他現在的他不可以這樣如果法令是規定他不可以這樣說他現在的他們的宣傳裡頭說我們一定超過定存這樣不就表示明顯違法嗎
transcript.whisperx[420].start 11804.506
transcript.whisperx[420].end 11826.506
transcript.whisperx[420].text 你知道我在說什麼嗎如果你們的規定就是說因為他說要超過定存的時候如果沒有違法他會這樣說一般人看到網紅這樣說會相信嘛相信是因為一般人不會公開叫大家做違法的事情尤其網紅這麼有地位的人這麼有影響力的人怎麼會叫大家違法呢所以如果他網紅說這個超過定存我剛剛看到網紅也有寫到超過定存什麼的
transcript.whisperx[421].start 11830.109
transcript.whisperx[421].end 11846.983
transcript.whisperx[421].text 那如果有人公開這樣說這樣沒有違法嗎?如果你們給他的規定是他不可以說他可以配幾%的話因為我們這樣看起來就覺得他應該是可以啊他願意虧錢啊你們聽得懂我說的意思嗎?他不可以你現在回答我是不行嘛對不對問題是就是有這樣的宣傳啊所以這樣宣傳沒有違法嗎?
transcript.whisperx[422].start 11848.41
transcript.whisperx[422].end 11865.518
transcript.whisperx[422].text 就是這個資訊上就不完整了資訊完不完整像我們也不了解不完整吧大部分的百姓都不完整問題是你們管的不是百姓收到資訊完整你們會去希望資訊更完整但是你們管的是這個過程當中募集資金的過程中有沒有違法嘛
transcript.whisperx[423].start 11866.118
transcript.whisperx[423].end 11885.625
transcript.whisperx[423].text 如果在你們的規定裡頭他是不可以說他一個月配多少包或者他可以說一年配多少包還是都不行如果他都不能這樣說的話那他們去說了我們超過定存定存是大家都知道比如說以2%來講那他的意思就是說我一年一定或是我一個月一定會給你超過一年一定會給你超過定存那這樣沒有違法嗎
transcript.whisperx[424].start 11886.965
transcript.whisperx[424].end 11904.235
transcript.whisperx[424].text 主委您聽得懂我的題目嗎我剛才交易所總經理跟您報告也都是說這種配息只是一種預估不能夠保證那其實因為他要看成分股率來漲還多所以他們可以說但是在所有觀眾如果他說這個只是預估要講清楚就可以是嗎
transcript.whisperx[425].start 11905.916
transcript.whisperx[425].end 11926.414
transcript.whisperx[425].text 因為看起來現在的大部分的宣傳都是沒有說是預估吧報告委員這個我們是有一些規定說你不適合用優於不適合跟不行是兩件事喔不適合跟不行啦不適合反正我願意做沒有只要我沒有違法我做網紅我做什麼推我做招募資金的我做這個這邊都是講不得啦
transcript.whisperx[426].start 11927.915
transcript.whisperx[426].end 11929.916
transcript.whisperx[426].text 不得有下列行為不得有實用、用於定存、打敗通膨等
transcript.whisperx[427].start 11952.402
transcript.whisperx[427].end 11957.888
transcript.whisperx[427].text 所以說現在公開在說優於定存這個就是就是宣導不實囉
transcript.whisperx[428].start 11959.759
transcript.whisperx[428].end 11980.972
transcript.whisperx[428].text 這也是我們在這次是宣導不實還不是宣導不實他這個做法不管他的內容有沒有就是說他有沒有真的超過啦那是後面的實質內容啦我說他這個程序有沒有違法他這個推廣的這個方法目前在我的身份說有人違法不違法都不太合適要同仁俱來解我也不是針對特定黨啦我也不針對特定內容我說的只是說這種行為這個樣態的行為是不是合法的
transcript.whisperx[429].start 11989.477
transcript.whisperx[429].end 12018.659
transcript.whisperx[429].text 因為你們在裡面都說不得、不得、不得但我不知道這樣有沒有違法啊有還是沒有啊如果已經有人這樣說他違不違法這個跟公會的制度規範是不一致的所以他只是違反自律但他沒有違反你們的規定所以只要不自律反正沒有關係啦不自律是處罰的事情啦頭線也是依照社會信任才能夠發展我現在在這邊立法院講的是法律嘛我就想請教這樣是不是合法你們要去探討一下也許你還沒有辦法給我答案那沒關係那至少你讓我
transcript.whisperx[430].start 12018.899
transcript.whisperx[430].end 12041.593
transcript.whisperx[430].text 瞭解我們在跟公會在討論你要給我們答案然後對不起可以再問一題嗎因為剛剛賴委員問到我也很好奇那所以說他募資資金過程他說是不是用自己的錢去還那個嘛比如說利息固定多少多少那當然可能資本利得會降低嘛但是他如果一直募會不會變成那種我說像老鼠會那種模式啊拿後面的錢來補前面的
transcript.whisperx[431].start 12043.234
transcript.whisperx[431].end 12064.441
transcript.whisperx[431].text 不過你的時間很短應該不至於吧?你能這樣做嗎?所以這就是為什麼我們今年1月初訂了一個評準金規範而且要求業者去遵循我有看到我有看到那你要評準金就是說他如果願意把這些錢都我知道你要規定說他配的時候要分配是多少%多少%多少%那有沒有可能變成是這種我們剛一直在問這種龐氏的騙局我們一直也是很好奇
transcript.whisperx[432].start 12064.941
transcript.whisperx[432].end 12065.241
transcript.whisperx[432].text 我們現在的規範就是防止這個現象發生
transcript.whisperx[433].start 12081.957
transcript.whisperx[433].end 12101.549
transcript.whisperx[433].text 我們一頁的規範就是不希望投資人以為他拿到的錢其實是他自己的錢因為主委你常常你這樣回答常常都是很有點很模糊啦因為有時候像剛剛那些問題都回答得這麼模糊到底法令可不可以你都不回答清楚的話百姓就會百姓會無所適從啦是我的不對啦
transcript.whisperx[434].start 12101.949
transcript.whisperx[434].end 12124.764
transcript.whisperx[434].text 但是很多個案我不能夠現在就我不是要問你個案我只是問你樣態行為樣態沒關係我剛剛我提的問題沒有我會再跟你們請教因為我們最重要還是要讓社會大眾投資投資者瞭解說怎樣才是正確的還有包括那些所謂的網紅他們能不能這樣做也要讓他們知道這個比宣傳效果更好瞭解謝謝委員指導謝謝陳昀臻委員的資訊接著我們請李坤臻委員資訊
transcript.whisperx[435].start 12136.356
transcript.whisperx[435].end 12142.441
transcript.whisperx[435].text 謝謝主席我先讓這個主委先喝口茶請主委請主委
transcript.whisperx[436].start 12144.847
transcript.whisperx[436].end 12165.769
transcript.whisperx[436].text 主委辛苦了大家都很關心這個ETF熱賣也謝謝我們主席在今天特別召開這個題目那請問一下主委目前台灣ETF的規模我按照這個資料來講現在有241檔的ETF掛牌交易交易的規模是新台幣是4兆1990億元
transcript.whisperx[437].start 12168.231
transcript.whisperx[437].end 12193.153
transcript.whisperx[437].text 然後到1月底為止上市櫃有48檔臺股ETF持有的股票占全市市場的股票市值是2.38%占整體股市交易值交易股數約占1%左右這是你們提供的資料那請教一下主委這個最近ETF熱賣對於股市的成交影響大不大
transcript.whisperx[438].start 12194.417
transcript.whisperx[438].end 12218.957
transcript.whisperx[438].text 因為您看得出來它交易量才佔1%嘛所以理論上應該不至於有什麼過大的影響是啊就是說因為我就看數字才佔1%嘛那理論上對於這個股票的交易來講應該不會有太大的波動才對嘛大的格局上是這樣子沒錯那這個那因為也佔1%左右那請教一下主委ETF還有在成長的空間嗎
transcript.whisperx[439].start 12221.557
transcript.whisperx[439].end 12242.991
transcript.whisperx[439].text 應該有吧 投信還會繼續再發ETF只要股市持續熱我認為這個ETF就有繼續成長的空間那我引述這一個財訊董事長謝金河的看法他說這個ETF熱賣就是表示說臺灣的錢很多那臺灣錢很多過去呢第一個是往股市第二個就是往房地產
transcript.whisperx[440].start 12243.963
transcript.whisperx[440].end 12266.025
transcript.whisperx[440].text 所以說他認為說最重要的是說引導政府的這一個現在的一些游資要往哪裡走才是正確的因為我們不希望說這個他去往房地產那個方向注點這個房地產又繼續又再炒熱然後呢那可能就往股市那往股市呢這個現在就是往ETF來走那對於這個謝金的看法主委的看法是覺得如何
transcript.whisperx[441].start 12267.202
transcript.whisperx[441].end 12288.88
transcript.whisperx[441].text 沒有我想謝董事長是大家很尊敬的意見領袖啦我想我們會參考他的最主要是認為齁臺灣的游資過多啦因為我剛剛聽前面這個委員有在問這個主委主委也認為說那現在為什麼ETF會熱賣的原因之一就是說現在臺灣的游資過多然後這個錢希望去投資那錢投資呢希望說又比定存要再好一點
transcript.whisperx[442].start 12289.56
transcript.whisperx[442].end 12301.778
transcript.whisperx[442].text 那所以呢現在ETF呢熱賣那手續簡單然後呢又很方便然後感覺上現在股市過熱了然後我們很多這個高檔的股票沒辦法投資所以就去買ETF了所以造成ETF的熱賣
transcript.whisperx[443].start 12303.826
transcript.whisperx[443].end 12319.398
transcript.whisperx[443].text 主委您的看法股市好所以連結股市的ETF大家就有興趣再加上我們台灣的投信的ETF設計的商品這種月配息、季配息國外不太會做這個事但是投核國人的期待
transcript.whisperx[444].start 12320.198
transcript.whisperx[444].end 12337.837
transcript.whisperx[444].text 對 那就表示說我們的投信對ETF的這個包裝或是說它的這個讓大家覺得說這個入門非常的容易那對未來也有期待我對於這個高檔股票我可能沒辦法有這麼多錢去買了但是我覺得買ETF可能有這個期待有這個機會 對不對
transcript.whisperx[445].start 12339.703
transcript.whisperx[445].end 12352.728
transcript.whisperx[445].text 委員整理得很好從你們跟許多委員的談法來看我也看到你們的報告ETF特性第一個ETF透明性高具有分散投資風險第二個當然投資還有風險所以也必須要注意
transcript.whisperx[446].start 12356.609
transcript.whisperx[446].end 12377.98
transcript.whisperx[446].text 但是你也提到說它透明度是高的那所以我剛才整理了一下說ETF熱賣大概有幾個原因第一個股市上兩萬點第二個游資過多第三個深扣的門檻低有時候一張一萬塊就有了至於這家投信只有十塊其他有的不見得十塊對啊當然有的高一點但是門檻都很低啊對不對比買零股還低
transcript.whisperx[447].start 12379.88
transcript.whisperx[447].end 12400.609
transcript.whisperx[447].text 最近又是獨打高配席那等一下我會請教一下主委那其實我在上禮拜也有問這個主計總署主計長也提到說超額儲蓄的問題那他提到說超額儲蓄呢那時候這個朱主計長他是回答我說超額儲蓄呢也可以投資在金融市場那我請教一下主委金融市場投資大概包含哪些
transcript.whisperx[448].start 12402.523
transcript.whisperx[448].end 12428.999
transcript.whisperx[448].text 一般基金、商品、股票有些人也投資黃金那ETF算不算?ETF也算所以我是認為因為現在你只要讓它按照你們的規定來走那其實不管是基金、股票、ETF其實只要按照規定來走應該都用健康的心態來面對它
transcript.whisperx[449].start 12430.609
transcript.whisperx[449].end 12459.228
transcript.whisperx[449].text 我同意委員的想法這也是我們的想法不會因為這一檔熱賣就做什麼我覺得就是從瞭解它問題徵兆的所在去做處理就好了因為現在就是說其實ETF有它的這個好處我剛才提過了說為什麼這麼多投資人願意去買ETF那它也都在你們的規範之下它才有辦法上市櫃嘛對不對但是現在的問題就在於說金管認為說它在這個包裝上面的一些話術是不是容易讓投資人覺得說我買這個我賺不賠
transcript.whisperx[450].start 12461.069
transcript.whisperx[450].end 12488.897
transcript.whisperx[450].text 會不會有這樣的一個對 我以為您講到重點了就是要有正確的資訊告訴投資人沒有什麼事情是穩賺不可其實如果有正確資訊其實你們有相關規定都有不論是廣告的查核或是說KYP、KYC的這個查核都有這個其實在這個ETF熱賣之前相關的規範你們都有嘛 對不對所以其實只要落實這個KYP還有KYC的查核知道你買的是什麼商品嘛那知道是誰要來買嘛
transcript.whisperx[451].start 12490.217
transcript.whisperx[451].end 12514.86
transcript.whisperx[451].text 那其實問題就可以減低很多嘛對不對有很多問題其實法規制度都有只是執行上有沒有落實好 那我問你執行面的問題好了給你看一個廣告那主委看一下說廣告到底有沒有違反說你們現在這一個不應該以年化配息為廣告內容不應該以月配息為廣告內容其實我是不太清楚說為什麼這個年化配息或是月配息不能作為廣告內容
transcript.whisperx[452].start 12516.476
transcript.whisperx[452].end 12519.041
transcript.whisperx[452].text 為什麼不能用這個年化配息或是月配息為廣告內容?他的問題在哪裡?
transcript.whisperx[453].start 12528.626
transcript.whisperx[453].end 12556.575
transcript.whisperx[453].text 這個我想我現在不太適合因為我還要跟同仁討論一下到底這個廣告到底的有沒有問題很抱歉我現在沒辦法去說先不談這個廣告因為我是舉出這兩點因為它的廣告一個是高股息一個是每月的現金流那因為這兩點就是違反了你們的規定說不可以用年化配息為廣告內容不可以用月配息為廣告內容那我的問題在於說那為什麼不能用這兩個
transcript.whisperx[454].start 12559.263
transcript.whisperx[454].end 12567.477
transcript.whisperx[454].text 這兩點為廣告內容就算他的僅語上面都會寫這位是不是請同仁說明一下他應該跟報酬率是不太一樣的對不對
transcript.whisperx[455].start 12570.054
transcript.whisperx[455].end 12591.33
transcript.whisperx[455].text 對 如果說依照現在這個廣告的話我們現在的規定是說它不能使用說比如說優於定存或打敗通膨這樣子的一些用語那就是那個公會的規定已經有這樣相關規定那委員提示的這個廣告內容我們會再來瞭解一下它實際上面的一些廣告有沒有什麼
transcript.whisperx[456].start 12592.552
transcript.whisperx[456].end 12606.249
transcript.whisperx[456].text 那我的意思是說先不管這個廣告就是說那為什麼不能用年化配息率為廣告內容或是說月配息為廣告的內容如果剛剛像你所講的說打敗定存那不一定嘛有時候就會賠阿
transcript.whisperx[457].start 12607.591
transcript.whisperx[457].end 12635.919
transcript.whisperx[457].text 打敗通膨也不一定嘛那沒有穩賺不賠的那我只是說我很好奇為什麼是用這兩點來作為這個你們規範的內容如果他都有符合你們的規定啊比如說他在給予上面有寫比如說這個他的這個來回到上一頁比如說他是這個領息他就說領息齁這個基金配息不代表未來的配息率基金配息來源可能是收益批准金等等他其實都寫得很清楚那這有違反相關的規定嗎
transcript.whisperx[458].start 12638.569
transcript.whisperx[458].end 12665.501
transcript.whisperx[458].text 回答委員的問題就是剛剛委員提到那個不能用年化配息比如說他第一季配了5%好了他用推算就是比如說推算成年化就乘以4就20%可是實際上他的成分股在第二季的時候配息的情況做調整只配1%好了這樣子就會當然不能這樣子對對對所以我們就要求說他要說清楚而且不能用月配息比如說他這邊寫的他這邊寫的說他的這一個
transcript.whisperx[459].start 12668.062
transcript.whisperx[459].end 12694.368
transcript.whisperx[459].text 這個殖利率是用過去5年的這個平均計算這樣子我不跟你討論這個個案的廣告我只是跟你講就是說我們都希望說這一個投信公司他們在做廣告的時候他必須符合你的規範那我現在是提出來的規範就是說如果他的規範年化配息或是說月配息他就按照你的規定寫清楚說年化配息是怎麼來的然後月配息是怎麼來的
transcript.whisperx[460].start 12695.828
transcript.whisperx[460].end 12722.984
transcript.whisperx[460].text 那我很好奇說那這樣有沒有違反相關的規定而已就是說今天這個股票在漲ETF在漲我覺得是呈現正相關如果今天股票一直跌一直跌一直跌我相信ETF也不會熱賣才對啦那所以說是因為剛好最近股票一直漲那大家對台灣有信心那對ETF大家覺得說我門檻低我願意去買那這也像這個主席長他所講的就是說那這個其實也是金融投資的一部分
transcript.whisperx[461].start 12723.925
transcript.whisperx[461].end 12740.533
transcript.whisperx[461].text 那我的看法就是認為說你們參考就是說如果它都是符合你們的規定那其實就用健康的心態去來管理它知道你買的是什麼東西知道是誰來買按照目前的規定其實就可以了但是不要用這個打壓的方式來做處理啦
transcript.whisperx[462].start 12741.558
transcript.whisperx[462].end 12756.393
transcript.whisperx[462].text 不會啦我想這個是民眾要選擇的商品但是重點資訊要對稱要透明要誤導投資人資訊對稱要透明然後提醒投資人這都是金管會還有投信公司都要做的
transcript.whisperx[463].start 12757.274
transcript.whisperx[463].end 12784.137
transcript.whisperx[463].text 但是其他之外就讓ETF我就讓它自然去成長那ETF也有下市下跪了也都有啊那股票也是一樣啊股票在漲的時候我們也不會說你不要去買誰買誰我們也不會特別去這樣講因為這樣子就干預股市的這一個自然的這個成長的法則啦那我說過說目前為止它的這個成交數這麼低其實對於股票市場其實影響性也不大那所以我認為說在手段
transcript.whisperx[464].start 12784.837
transcript.whisperx[464].end 12810.354
transcript.whisperx[464].text 與目標之間這個你們要拿捏那個標準啦好不好我瞭解委員我們就是這個方向你看我的報告中也沒有要去就只是就行銷上面特別注意你的報告寫得很平實阿但是齁對記者講話的時候這個記者會就會覺得說有這個干預打壓的這個味道出來了沒有我今天謝謝召委給我機會去澄清啦我們是健康發展好健康發展好謝謝謝謝主委謝謝主席
transcript.whisperx[465].start 12811.034
transcript.whisperx[465].end 12812.515
transcript.whisperx[465].text 有請黃天牧主委
transcript.whisperx[466].start 12834.366
transcript.whisperx[466].end 12847.652
transcript.whisperx[466].text 委員各位先恭喜您高票當選我們第一次在這個委員會見面感謝主委感謝主委讓我持續有機會來質詢你不過面對問題解決問題我想是一定的準則
transcript.whisperx[467].start 12849.045
transcript.whisperx[467].end 12868.517
transcript.whisperx[467].text 每幾年臺灣就會出現一些特定的金融商品好像熱賣比如說本席有印象幾年前應該十幾年前投資情報單突然間很火紅那那個時候大家也是有一窩蜂的一個現象那也有所謂的什麼境外基金外幣基金等等的那近期討論到這個ETF
transcript.whisperx[468].start 12870.834
transcript.whisperx[468].end 12899.003
transcript.whisperx[468].text 你的報告裡面第11頁本席也特別看了一下現在要針對所謂的網紅合作其實資訊公開透明當然大家都認同但是為什麼過去現在有這種過熱的一個情況很多人就認為是說在行銷的手法上好像就會被美化讓消費者不一定讓一般的民眾不一定知道說他的風險而導致一窩蜂的一個情況所以本席現在想請教如果說針對你剛剛有提到的
transcript.whisperx[469].start 12901.672
transcript.whisperx[469].end 12922.287
transcript.whisperx[469].text 針對現在要求這個所謂的自律規範廣告規範、自律規範到底有沒有相關的罰則自律目前是沒有沒有罰則那如果說真的還是有一些這種網紅行銷持續的不管是拍影片、業配文那出來怎麼辦有要求下架的機制嗎
transcript.whisperx[470].start 12924.301
transcript.whisperx[470].end 12949.491
transcript.whisperx[470].text 這個部分其實國會訂完自律規範之後如果業者沒有遵循自然政企局在日常監理上也會採取相關的一些措施去相關措施包括什麼先分兩塊主委你先聽我把話講完因為這個是新型態的一個部分以前在投資型保單的時候可能還沒有網路沒有到現在YouTube等等的這一些網紅那現在第一是會針對那個網紅還是針對公司
transcript.whisperx[471].start 12953.772
transcript.whisperx[471].end 12972.052
transcript.whisperx[471].text 第二所以網紅影片持續放在那邊那我們有任何的要求下架機制嗎如果說明顯他的影片就是講得很偏薄或說會讓有誤導投資大眾之嫌那有沒有接受檢舉的一個機制以及有沒有會要求這個影片下架
transcript.whisperx[472].start 12973.188
transcript.whisperx[472].end 12990.299
transcript.whisperx[472].text 大委員我們現在討論的都是發掘投信有跟網紅的一些協議行銷的機制有的是直接有的是透過行銷公司那我們現在就是要責成投信跟網紅這間機制要涵蓋一些必要的內容不要誤導投資人是啊
transcript.whisperx[473].start 12990.979
transcript.whisperx[473].end 13007.916
transcript.whisperx[473].text 不是 主委你跳太快了本席現在先講的是說如果說有影片我們去了解到是說這可能是發行的公司他去跟網紅合作就簡單講受雇關係我跟你多少錢請網紅拍一個影片來推薦某一支ETF
transcript.whisperx[474].start 13008.777
transcript.whisperx[474].end 13030.639
transcript.whisperx[474].text 那這樣子的一個行為你可能可以有連結性那本席還有第二個問題是現在自媒體很多如果說我今天我是一個客戶我自己買了一個ETF我覺得很不錯我自己去講說哇我這個ETF賺了多少錢我秀出我的這個投資報酬率等等的相關的這個收益表那這樣有沒有觸犯相關的一個行則有沒有觸犯相關的一個規定
transcript.whisperx[475].start 13031.34
transcript.whisperx[475].end 13041.807
transcript.whisperx[475].text 目前在金管會這邊如果不是跟投信連結直接間接連結目前我是可以說他並沒有說違反我們什麼金管會跟工會的相關的那這樣會不會出現漏洞
transcript.whisperx[476].start 13044.013
transcript.whisperx[476].end 13060.882
transcript.whisperx[476].text 因為我覺得主委我們今天討論就是要務實啊ETF過熱這是一個現象那當然有兩種一個是說我就是放任反正市場機制到最後淘汰了市場願打願買然後自己個人負責但另外一個部分是說針對資訊
transcript.whisperx[477].start 13063.163
transcript.whisperx[477].end 13088.786
transcript.whisperx[477].text 不透明或說有誤導之嫌的時候我們主管機關當然有一定的一個權責嘛也因此本集才講是說今天我們最重點是在於是網紅如果說有一些行銷推薦的影片他誤導支持的時候我們主管機關到底態度是什麼我跟您這樣報告如果是跟投信直接間接連結的現在在公會這裡規範就可以處理那如果不是直接連結的但你想處理是沒有要求他影片下架
transcript.whisperx[478].start 13091.107
transcript.whisperx[478].end 13116.347
transcript.whisperx[478].text 那個請副局長你跟他報告一下你有沒有要求影片下架就是如果說像委員講的是說沒有跟投信顧業者的合作的話那如果他網紅只是純粹在他的影片上分兩階段因為主委一直把我的問題也跳開所以說我現在要focus第一如果說是跟投信業者有合作那你明明白的確認那你
transcript.whisperx[479].start 13117.127
transcript.whisperx[479].end 13139.596
transcript.whisperx[479].text 剛剛你的報告裡面有講是說你的影片或是內容你要加注警語譬如說這個是某某公司贊助嘛其實我們常聽到很多的金融商品都講說最後都會很快速唸一段嘛投資有賺有賠就申購前景了解公開說明書等等的對不對那個是我們監管會那時候要求才會有這一段嘛那一樣到底現在因為新型態的網路行銷我們怎麼樣去規範
transcript.whisperx[480].start 13141.839
transcript.whisperx[480].end 13162.817
transcript.whisperx[480].text 就是剛剛委員有提到說他因為有置入性行銷所以如果他是跟網紅合作他要警語說我是某某公司有贊助的讓投資人知道這個是行銷的廣告那如果說純粹只是網紅的分享那這個可能我們就沒有辦法用投信端連結那如果剛剛有講到說如果是投信端委託的
transcript.whisperx[481].start 13163.658
transcript.whisperx[481].end 13164.278
transcript.whisperx[481].text 那如果沒有改善呢?
transcript.whisperx[482].start 13184.178
transcript.whisperx[482].end 13193.485
transcript.whisperx[482].text 如果說沒有改善違反工會的規定的話我們嚴重可以依照我們的投信固法來做行政裁罰行政裁罰多少錢60萬到300萬60萬到300萬
transcript.whisperx[483].start 13200.148
transcript.whisperx[483].end 13215.337
transcript.whisperx[483].text 那多久才罰一次一案一罰如果說網紅他的影片持續在那邊不下架因為現在的狀況是大家覺得是說你的60到300其實是非常低公平會被問到的時候還要講到是說他可以用公平交易法從5萬到2500萬來罰
transcript.whisperx[484].start 13218.134
transcript.whisperx[484].end 13230.668
transcript.whisperx[484].text 那你現在我們主管機關只有60到300最多300那會不會有有一些投信業者乾脆覺得說這也是廣告費的一環我就把它變成是廣告成本我能收到財委會審的投信投資會提高到1500萬
transcript.whisperx[485].start 13232.577
transcript.whisperx[485].end 13237.72
transcript.whisperx[485].text 主委本席今天提的問題其實都是很直接而且也應該是主管機關要想到的還有應該是出現在今天報告裡的
transcript.whisperx[486].start 13252.887
transcript.whisperx[486].end 13280.472
transcript.whisperx[486].text 第一如果說有連結我們現在沒有主動的要求影片下架的一個機制我們只能被動的那這個時間過程會拖多久不知道第二如果說是一般人員的分享或者是說我就刻意講是說沒有這是我的分享你不知道說他私下有沒有跟投信業者有任何的一個收益或是報酬這你沒有辦法舉證你沒有辦法查清這也是另外一個部分那還有新聞報導那麼的熱
transcript.whisperx[487].start 13282.472
transcript.whisperx[487].end 13307.726
transcript.whisperx[487].text 有些時候大家會看到新聞報道哇今天哪一個又大家擠破頭那新聞報道上面有沒有需要在旁邊也加注一些公平的一個市井的一個狀況黃委員今天的議題確實很熱啦有專訪6月底前就會完成啦6月底前會完成所以有包括新聞媒體嗎沒有沒有也沒有
transcript.whisperx[488].start 13309.031
transcript.whisperx[488].end 13323.165
transcript.whisperx[488].text 所以所以主委所以也要新聞媒體有他的另外一個尺度我們也要就是合理不是 你是主管機關本席現在強調說你是主管機關所以說你不能說新聞媒體另外的尺度所以你新聞媒體要丟給NCC丟給速發部
transcript.whisperx[489].start 13325.177
transcript.whisperx[489].end 13352.599
transcript.whisperx[489].text 這不應該嗎?我們的投顧的這個我們是不是事後跟您報告我想待會兒可以說明一下好不好?我覺得 主委重點在於是你們的態度問題不會把這個ETF當成不是金管會的事情嗎?是我們的問題是 是你們的問題所以說才應該有積極的作為去了解說現在市場上的狀況以及你們應該要怎麼樣來做一個更健全整個市場的機制才對有 現在的狀況就是網紅了請對
transcript.whisperx[490].start 13354.58
transcript.whisperx[490].end 13360.024
transcript.whisperx[490].text 會後來我辦公室好 了解可以嗎好 謝謝 謝謝委員謝謝孟愷委員質詢接著我們請王世堅委員質詢主席有請金管委黃主委有請黃主委市委好那個
transcript.whisperx[491].start 13383.163
transcript.whisperx[491].end 13410.012
transcript.whisperx[491].text 黃主任我今天不跟你談ETF這已經談了很多我下次再救教你我談另外一個我個人覺得是蠻嚴重的問題就是說我們金管會對實際已經在經營融資的這三家註定公司我用八個字形容就是自廢武功該管不管
transcript.whisperx[492].start 13411.409
transcript.whisperx[492].end 13433.685
transcript.whisperx[492].text 這就是金管會現在的情況如果根據銀行法第29條非銀行不得執行銀行相關的這些業務那你也很清楚你們金管會的組織法第二條第三條金管會就是掌管我們國內金融公司銀行業保險業這個
transcript.whisperx[493].start 13437.173
transcript.whisperx[493].end 13458.05
transcript.whisperx[493].text 期貨證券等等那你們對於這些行業他們的設立以及管理這都是在你們執掌的範圍內你非常清楚嘛不是嗎那麼這三家中租抵合合論跟育融
transcript.whisperx[494].start 13459.232
transcript.whisperx[494].end 13486.328
transcript.whisperx[494].text 他們現在放款的金額來源還不是他們自有資金他們還是大量的從我們的銀行業來融資他們跟38家銀行融資低利那麼高利貸放款給需要的消費者這金額多大
transcript.whisperx[495].start 13487.591
transcript.whisperx[495].end 13516.266
transcript.whisperx[495].text 那個黃主任我私下跟金管會講過啊光是中租敵核向銀行借的就高達2396億天啊然後核潤不遑多讓啦大概他一半980億另外這一家裕融他可能後台很硬嘛
transcript.whisperx[496].start 13517.759
transcript.whisperx[496].end 13541.036
transcript.whisperx[496].text 他連金額都懶得申報啦這也是我要求金管委員你們要下去查查的他們實質經營銀行當中最重要的融資的項目結果他佔盡我們全體我們國人辛苦的存款他們佔盡這些便宜
transcript.whisperx[497].start 13543.578
transcript.whisperx[497].end 13571.869
transcript.whisperx[497].text 他們便於形式由銀行的手中取得低利的融資再去放高利貸結果金管委放任這個事情不管6年前中央銀行他們就有做出一些調查一些報告也提供給我們金管委啊2018年6年前中央銀行調查的結果
transcript.whisperx[498].start 13572.987
transcript.whisperx[498].end 13601.189
transcript.whisperx[498].text 全世界各國多數這樣子做BMPL做這樣租賃的行業公司都是由他們國家之內像我們金管會這樣子的單位他們在管理由公部門的金融管理機關在管理所以我不懂啊我們金管會有那麼多專業的金融人士
transcript.whisperx[499].start 13602.728
transcript.whisperx[499].end 13626.392
transcript.whisperx[499].text 我們有專業的這麼多的人才我們才能夠經常性的去對這些實質在金融放款業務的這些公司去做查查不是這樣嗎金管委是全國最多這一部分的專業人士結果你們放任不管
transcript.whisperx[500].start 13628.28
transcript.whisperx[500].end 13646.355
transcript.whisperx[500].text 上次我質詢的時候也虧我們另外一位召集人還跟我說質詢完以後他跟我說這個部分經濟不管我去查一下這是什麼經濟不管經濟不管的是公司法我們臺灣有100萬公司100萬家公司
transcript.whisperx[501].start 13649.023
transcript.whisperx[501].end 13674.292
transcript.whisperx[501].text 這三家這麼重大金額的經濟部管它只能管百萬分之三而且是公司法那在管什麼管所以儘管我現在這個不管的做法我認為就推卸責任了避重就輕把它推給經濟部經濟部我們實質去問他也一問三不知啊所以那個黃主委
transcript.whisperx[502].start 13678.871
transcript.whisperx[502].end 13701.392
transcript.whisperx[502].text 我希望你今天就能夠正式答覆我到底你們管是不管啦基於事權統一基於金管會應該對我們國內做這樣子銀行業務的公司本來就應該要納管不是這樣嗎黃主委你的看法呢
transcript.whisperx[503].start 13702.402
transcript.whisperx[503].end 13725.669
transcript.whisperx[503].text 委員是不是可以給我一點時間回覆您報告第一點我想第一次拜會您對金融事務的瞭解是非常尊敬所以我以下回答如果有跟您的想法不一樣的地方請您多包涵第一點這個人資公司是不是專屬銀行業務其實銀行法29條其實重點是吸收存款對不特定多數人吸收存款那是專屬業務
transcript.whisperx[504].start 13726.989
transcript.whisperx[504].end 13748.848
transcript.whisperx[504].text 放款不是銀行的專屬業務這個就是漏洞這個我不會另外提要求法但是但是放款跟存款是一體兩面的業務啊他們就是鑽這個漏洞我認為這就是立法上這一個疏忽那讓大家有話講不是這樣嗎你請說
transcript.whisperx[505].start 13751.47
transcript.whisperx[505].end 13756.813
transcript.whisperx[505].text 經濟部公司登記中有這種公司業務有這種融資行為的有6800多家
transcript.whisperx[506].start 13761.39
transcript.whisperx[506].end 13781.847
transcript.whisperx[506].text 這就是現在的現況現在就沒有說融資一定是專屬銀行業務然後跟你回答您垂詢的這幾家所謂的大型的融資公司我們管不管我跟您報告在2016、2017的時候它的洗錢房子就已經由主管機關在管融資性住院公司是我們在管
transcript.whisperx[507].start 13782.668
transcript.whisperx[507].end 13794.64
transcript.whisperx[507].text 第二 去年年初大家談BNPL的時候我們就找最大的那家中蘇公中蘇迪河來我說你們做這件事情一定要好好去做我們把銀行做
transcript.whisperx[508].start 13795.7
transcript.whisperx[508].end 13816.522
transcript.whisperx[508].text 做這種授信的規則弄了一個租賃做BNPL的原則給他請你在租賃公會通過請各租賃公司去遵循這是第二件事第三點最近網路上那個影片出來之後我們約談了四家上市櫃公司的這種大型租賃公司兩個禮拜前我們開了一個會議
transcript.whisperx[509].start 13818.064
transcript.whisperx[509].end 13838.659
transcript.whisperx[509].text 要求因為都是上市櫃要求交易所櫃買中心訂一個內控準則由金管會提供一個專業的內控準則要求這4家公司訂在自己的規定中怎麼樣去做這種尤其對年輕人的壽性租賃業務年底之前交易所櫃買中心去做內控查核第二點
transcript.whisperx[510].start 13840.004
transcript.whisperx[510].end 13855.268
transcript.whisperx[510].text 不會 剛才這一點齁剛才這一點我如果兩個字簡單講你們就是要求他們這些租賃公司兩個字自律就對啦不是內控不是自律喔內控要報告怎麼內控怎麼管理這樣子已經
transcript.whisperx[511].start 13857.589
transcript.whisperx[511].end 13876.609
transcript.whisperx[511].text 到了已經到金融怪獸這麼龐大的金融怪獸你竟然只要求他自律天啊他律都律不住了不是嗎報告委員那個內控是要年底前交易所要去查核的不是指自律第二點
transcript.whisperx[512].start 13878.496
transcript.whisperx[512].end 13901.836
transcript.whisperx[512].text 我們會要求再訂一個完整的租賃公司做這種您關心對這種年輕人的這種授信的原則要求在公會中要求他們去遵循最重要您提到這些租賃公司的資金來源來自於金融機構票券公司銀行局也會去跟這些這就是我覺得最莫名其妙的嘛他自家的錢去借
transcript.whisperx[513].start 13902.765
transcript.whisperx[513].end 13931.085
transcript.whisperx[513].text 那還比較沒話講如果他是大量的如果把裕榮加進去我保守估計這三家等於五千億啦來自我們存款大眾存到銀行的錢被銀行大剌剌的用人情的方式低利借給這三家超大的金融怪獸租賃公司讓他們去放高利貸如果這樣子的放款是對的的話
transcript.whisperx[514].start 13932.026
transcript.whisperx[514].end 13959.472
transcript.whisperx[514].text 那你銀行來做就好啊消費性貸款銀行直接可以做嘛銀行等於變相圖利了這三家租賃怪獸不是這樣嗎因為時間有限我跟你講我認為的最可怕還有另外一個問題就是四個字超額授信啊你知道他們如何強大我們現在這一代的青年人嗎他們利用他們剛出社會那
transcript.whisperx[515].start 13961.806
transcript.whisperx[515].end 13980.428
transcript.whisperx[515].text 買車啦買其他消費品買一部80萬的車借他100萬你車子都不用自己出錢還20萬給你零用金結果這些是高額的利息跟超高額的違約金還有父母金擔保啊
transcript.whisperx[516].start 13981.369
transcript.whisperx[516].end 14005.708
transcript.whisperx[516].text 青年人還有30年的工作餘命啊他們也不怕討不到那這些公司他們因為他假借他因為他不是銀行嘛所以他就找這個討債公司來討現在目前社會的情況是這個樣子所以超額授信這個我想你與金管會你這麼資深的金融專業來講
transcript.whisperx[517].start 14007.082
transcript.whisperx[517].end 14026.16
transcript.whisperx[517].text 超額授信是所有銀行業、金融機構最忌諱的事情結果現在我們眼睜睜的看這三家租賃怪獸他們每天在做超額授信的事在強害我們社會的青年朋友們
transcript.whisperx[518].start 14027.523
transcript.whisperx[518].end 14044.682
transcript.whisperx[518].text 法委員你宇宙新廠的指示我們都會去處理尤其你講到對於年輕人的授信超額部分我們會去處理我跟您報告他們用這個超額授信來誘惑年輕人嘛是 我想 委員主席啊 抱歉主席我再30秒就好所以喔 我要求你這樣啦警訊廠我們銀行
transcript.whisperx[519].start 14048.073
transcript.whisperx[519].end 14068.344
transcript.whisperx[519].text 以什麼樣的名義貸款給這三家租賃公司這五千億的貸款銀行的融資融資給這三家金融怪獸租賃業是什麼樣的名義查這些放款融資有沒有中間不當的
transcript.whisperx[520].start 14071.498
transcript.whisperx[520].end 14072.139
transcript.whisperx[520].text 有請黃主委跟閻副總裁
transcript.whisperx[521].start 14101.388
transcript.whisperx[521].end 14129.687
transcript.whisperx[521].text 委員好好久不見主委好副總裁好很感謝這個昭偉是有非常先見之明安排了今天這樣的一個題目我想最近在關鍵字當中真的確實我身邊很多過去不在乎金融理財的朋友都會在群組裡面討論那就是所謂這個高配息的ETF到底應該買所以我相信以這兩黨來說的話不知道金管會這裡
transcript.whisperx[522].start 14130.848
transcript.whisperx[522].end 14155.043
transcript.whisperx[522].text 了不了解這兩檔就是所謂的高配息的ETF他們在近期當中大概募集了多少的資金我是不是同仁能夠有知道來報告一下那個統一那檔好像5、600億吧大概是一個是5、600億那另外一檔呢5、3、1那那個這一檔我不曉得9、40多少應該有超過1000多億對1000、2000
transcript.whisperx[523].start 14159.47
transcript.whisperx[523].end 14166.176
transcript.whisperx[523].text 同言講好還沒有統計是不是數字還沒有出來因為他們是錄製到15號嘛 對不對還是我們的這個證交所有答案大概是1700億左右1700然後再加500這樣至少有2000多億現在會進入我們的國內的市場當中各位我們過去其實不只一次在聊這個話題就是說臺灣的這個投資性的商品
transcript.whisperx[524].start 14185.413
transcript.whisperx[524].end 14191.342
transcript.whisperx[524].text 其實不夠多尤其是投資國內把錢留在國內很多時候我們賺進來的錢可能都是買國外開發的這樣的一個商品如果是這樣的話就整體來說就金管會的立場覺得這是一個好的現象嗎
transcript.whisperx[525].start 14203.283
transcript.whisperx[525].end 14223.334
transcript.whisperx[525].text 我覺得只要這個商品充分告知客戶這個資訊也了解客戶的屬性我覺得這就是我覺得這沒有什麼特別要去所謂大家關心會打壓的問題不會好 謝謝主委我要請嚴副總裁的就是說剛剛有講到大概一個是500多億一個是大概有1700億所以至少會有2200億
transcript.whisperx[526].start 14225.675
transcript.whisperx[526].end 14239.641
transcript.whisperx[526].text 的資金進入臺灣的市場那麼過去其實我們都一直擔憂就是國內投資性的商品不夠以至於就會來做房市那麼今天我們的題目也就講過了希望他們避免炒房那麼問題是很多人在質疑為什麼會突然間兩黨號稱高息的ETF進入市場之後大家好像錢都掏出來了
transcript.whisperx[527].start 14253.126
transcript.whisperx[527].end 14273.198
transcript.whisperx[527].text 是不是過去因為利息過低的關係以至於大家甚至於有出現有人解定存又或者是去用房子去借貸然後換取更多的這個可運用的資金來賺這個利息之間的差價那麼央行有這樣的疑慮嗎或央行有這樣的說法嗎
transcript.whisperx[528].start 14277.595
transcript.whisperx[528].end 14301.056
transcript.whisperx[528].text 報告委員因為您提的這個臺灣資金的這種長期的剩餘問題其實也跟我們過去以來的超額儲蓄或者是經常算順差有很大的關係在面臨這種情況之下其實我們一直在鼓勵我們賺到那麼多錢要充分的對外投資對內投資這是我們過去堅持的一個看法好
transcript.whisperx[529].start 14301.82
transcript.whisperx[529].end 14320.603
transcript.whisperx[529].text 副總裁我的言下之意就是說這2200億至少進入了我們的市場之後當然剛剛主委所說的是沒有好或壞只要是一個正確的投資管道訊息明確揭露讓投資人知道他是一個投資不是一個投機都好
transcript.whisperx[530].start 14321.164
transcript.whisperx[530].end 14341.094
transcript.whisperx[530].text 但是他是不是也面對了我們所謂因為過去的整體銀行的利率過低以至於大家突然間覺得哇如果真的有所謂年化利率10%哇那這樣子真的要趕快來解定存或者是趕快用房貸多押一點出來做投資這個是不是央行必須要去思考的問題呢
transcript.whisperx[531].start 14343.356
transcript.whisperx[531].end 14367.93
transcript.whisperx[531].text 我想我們在做利率政策的時候我們當然會考慮到當前的那個國內的流動性的問題剛才我的資料已經顯示就是說我們從銀行的角度去看到流動性其實銀行我們對銀行的觀察或者是我們自己觀察到的流動性其實是沒有想像中的那麼的嚴重譬如說我們的M2已經開始下降蠻多了
transcript.whisperx[532].start 14370.182
transcript.whisperx[532].end 14394.192
transcript.whisperx[532].text 我感覺上這個總裁並沒有真的回復我的問題不過沒有關係也許會後我請這個昭緯再幫我來追一下但是我想要因為現在變成外委員會時間有限要請主委主委剛剛其實蠻多前面的這些立法院同仁都已經問了那麼其實我比較在乎的就是您在第11頁也明確的寫到很多的委員都問到了就是有關於財經網紅
transcript.whisperx[533].start 14397.113
transcript.whisperx[533].end 14426.029
transcript.whisperx[533].text 透過付費方式來進行置入而你也提到了11月3號欸113年就是今年的6月底前會完成這個所謂的自律規範是交由工會來做那麼工會在訂定這樣的規範的時候是他們自家人自己關起門來訂定嗎還是會有專業的人士我舉一個例子喔您先聽聽看再來回應我現在很多網紅的行銷方式其實大略有兩種一種是他是知識型的網紅
transcript.whisperx[534].start 14426.909
transcript.whisperx[534].end 14439.016
transcript.whisperx[534].text 他幫你來做研析解析他會提到各種不一樣的金融商品如何的狀況如何的投資另外一種他不是知識型的網紅他就是一個網紅他可能講生活講娛樂講旅遊但是他突然間會有個插播的廣告進來
transcript.whisperx[535].start 14446.82
transcript.whisperx[535].end 14455.13
transcript.whisperx[535].text 然後他告訴你說有現在這樣的商品要開賣你用我底下的連結可以省手續費或是可以有什麼揭滅有什麼優惠碼那這兩者之間我現在做這樣的形容主委你覺得哪一個妥當哪一個不妥
transcript.whisperx[536].start 14465.342
transcript.whisperx[536].end 14488.619
transcript.whisperx[536].text 但是這個樣態都是叫做知識型都是叫做網紅都是經濟網紅喔它也可能都是網紅行銷喔可是樣態就不一樣囉您理解我的意思嗎我了解我們在做規範的時候又會很細緻不可以一竿子把所有的都歸類一類是特別也會請教了解網紅生態的專家一起去討論
transcript.whisperx[537].start 14489.5
transcript.whisperx[537].end 14507.65
transcript.whisperx[537].text 好 那麼我會期待說在這樣的一個規範出來之前我們不要一竿子打翻全傳人但是呢必須在這個樣態的細緻上面要有所區分因為本席過去非常在乎的就是有關於這個網路的行銷面過去我們都知道電視台是連一個個股去講解
transcript.whisperx[538].start 14508.45
transcript.whisperx[538].end 14523.36
transcript.whisperx[538].text 或是任何一支商品去講解那都要罰大錢的但是因為網路本身因為法規不足的關係那麼如何杜絕然後再來我也期許金管會要利用這個機會大家既然有興趣要發動全民的金融科普
transcript.whisperx[539].start 14524.461
transcript.whisperx[539].end 14538.212
transcript.whisperx[539].text 從金管會這邊釋出正確的管道包括相關的金融原訓院等等我們可以的旗下的管道都好好的來把正確的金融知識傳達出去好嗎我們在委員期待去努力謝謝好 謝謝謝謝林副委員質詢接下來我們請 牛許廷 牛委員質詢
transcript.whisperx[540].start 14551.32
transcript.whisperx[540].end 14556.886
transcript.whisperx[540].text 好 謝謝主席金管會央行有請有請黃主委以及議員副總裁
transcript.whisperx[541].start 14558.479
transcript.whisperx[541].end 14585.399
transcript.whisperx[541].text 委員恭喜您高票當選謝謝辛苦了今天財政委員會我們第一次來質詢當然是年輕世代非常關心的一個問題就是說熱錢的流動導致後續的一些影響最近當然新聞上各式各樣的產品推陳出新顯然我們的超額儲蓄率也越來越高我們就直接進入主題超額儲蓄理論上來講等於是
transcript.whisperx[542].start 14586.38
transcript.whisperx[542].end 14603.908
transcript.whisperx[542].text 一個國家如果要健全運作的話我們當然希望這個超額儲蓄能夠被有效利用而不是在那個地方去做閒置那當然你的報告裡面有寫看起來到2023年好像有稍微控制住但是根據主計總署的資料2024的超額儲蓄也是預估值會達到三兆八千四百億元
transcript.whisperx[543].start 14604.588
transcript.whisperx[543].end 14621.154
transcript.whisperx[543].text 又再一次的創了歷史新高所謂超額儲蓄是儲蓄跟投資的差額啦超額儲蓄越多閒置資金其實就越多那政府當然有責任剛剛我有講嘛希望應該讓它合理的導引到投資市場那目前政府對這一塊這個超額儲蓄這一塊的掌握是怎麼樣央行說明應該比較清楚吧對不對那個報告委員因為我們
transcript.whisperx[544].start 14629.772
transcript.whisperx[544].end 14635.596
transcript.whisperx[544].text 其實這個議題一直存在我們對外也講過很多次就是說
transcript.whisperx[545].start 14636.846
transcript.whisperx[545].end 14658.878
transcript.whisperx[545].text 超額儲蓄的問題跟我們的經常順差有關那為了處理經常順差問題跟我們的資金外流也有關所以我們在鼓勵鼓勵我們的超額儲蓄降低或者是經常順差的那種運用的時候我們在報告裡面提了三個大方向除了國內外的實體投資之外我們也希望引導
transcript.whisperx[546].start 14660.219
transcript.whisperx[546].end 14662.461
transcript.whisperx[546].text 中央銀行分別有限公司林董事長有限公司林董事長
transcript.whisperx[547].start 14676.48
transcript.whisperx[547].end 14690.288
transcript.whisperx[547].text 所以大概分成三個部分嘛一個是希望企業繼續擴產也好或者是多角化經營做實體投資第二個希望家戶的儲蓄可以有效利用嘛第三個是希望可以協助中央政府的重大基礎建設這是三個方向對不對我們目前的超額投資最大比例的是在哪裡
transcript.whisperx[548].start 14692.199
transcript.whisperx[548].end 14707.655
transcript.whisperx[548].text 如果根據我們的資料主技術的資料其實是家庭部門是我們最大的超額儲蓄的沒有我就本期資料了解是企業比較多吧應該是企業的超額儲蓄是比較多的吧沒有企業在傳統上企業應該是借錢來去投資的
transcript.whisperx[549].start 14709.096
transcript.whisperx[549].end 14728.733
transcript.whisperx[549].text 企業不應該成為超額儲蓄的資金提供者但是您提到一個關鍵問題我們觀察到從民國98年以後就是金融危機以來我們的企業其實是儲蓄的超額儲蓄的提供者在過去我們的企業是超額儲蓄的
transcript.whisperx[550].start 14729.414
transcript.whisperx[550].end 14754.736
transcript.whisperx[550].text 理論上是需求者嘛但現在變提供者嘛那問題就出在這裡嘛這本集今天質詢這個的重點就是這個我們應該要合理導引嘛我們當然希望不管是產業升級也好多角化投資也好本來被認定成夕陽產業的要因為有這樣子的一些資本來做新創或者是轉型這個才是國家想要看到的方向但目前為止就如同剛剛副總裁所講的看起來企業不但沒有成為超額儲蓄的需求者反而成為了提供者這就是問題嘛
transcript.whisperx[551].start 14756.036
transcript.whisperx[551].end 14779.845
transcript.whisperx[551].text 我們在基層觀察到的更有勝者其實很多的企業因為有這樣子的游離資金結果幹嘛跑去自產買土地炒房地產我覺得這是一大危機因為所有的熱錢不管是外資的熱錢內資的熱錢如果都集中在金融市場然後甚至不動產也變成金融商品的話我想對於年輕世代對於台灣的居住品質來講這是很大的一個衝擊所以我們希望政府在這一部分做有效的導引
transcript.whisperx[552].start 14781.075
transcript.whisperx[552].end 14789.064
transcript.whisperx[552].text 我們如何導引這筆錢去到對的地方應該是輔導產業的升級創造更多的就業機會才是應該要做的方向我們現在有哪些廚藝可以做這個事
transcript.whisperx[553].start 14791.257
transcript.whisperx[553].end 14820.145
transcript.whisperx[553].text 那個報告委員其實過去幾年政府在很多的公共建設投資或者是跟民間的那種鼓勵民間投資也做了很多的很多的措施在推動這一方面的進展因為時間有限這一部分請會後提供資料我當然是在這邊要求你們是瞭解錢的流向的當然要跨部的協調讓這筆錢用在對的地方這第一個第二個是我們的黃仁勳先生也不幸中標變成這個投資商品的介紹者
transcript.whisperx[554].start 14821.045
transcript.whisperx[554].end 14846.78
transcript.whisperx[554].text 當然是要談一下這個投資詐騙金融商品的廣告亂象的這個問題這個內容我就不說了反正就是用名人代言然後拐資金變成龐氏騙局那金管會有收集這個從2023年4月到今年3月一年有2萬9千件的投資詐騙廣告後來當然也有一定的處遇措施這個本席理解比如說所謂的廣告實名制但現在的廣告實名制的問題叫上有政策下有對策這些人現在
transcript.whisperx[555].start 14847.5
transcript.whisperx[555].end 14854.066
transcript.whisperx[555].text 請問我們的政府機關用什麼樣的方式來規避這樣的行為來阻止這樣子的規避行為的確啦因為像報告最近電子簽章法通過都可以有助於實名制不過你提的這個心態一樣因為我們正在跟跨部會定打詐法那當然
transcript.whisperx[556].start 14871.34
transcript.whisperx[556].end 14895.06
transcript.whisperx[556].text 老實講境外東西其實真的很難去規範但是看是不是能在打詐法上面能夠做一些調整能夠涵蓋這些不當的行為我相信這很多不管是立法委員也好或是行政院應該對於這個東西是高度重視那我會作為主管監理機關相關的一些意見盡量來做收集盡量來做提供讓這些法規健全的過程中有更多的專業意見可以嗎也請委員多指導
transcript.whisperx[557].start 14896.201
transcript.whisperx[557].end 14914.674
transcript.whisperx[557].text 那另外一個是大部分現在去年通過叫投信投顧法修正案就是要阻絕這樣的事情然後針對的是大型平台比如說Google跟Meta對不對但問題是我覺得這有殺傷力恐怕不是Google跟Meta因為大家辨別的能力在上升但私人的LINE的群組是個大的問題這一部分有什麼方法可以阻止嗎
transcript.whisperx[558].start 14915.523
transcript.whisperx[558].end 14938.901
transcript.whisperx[558].text 我跟委員報告當初修投信投物法Google Meta由金管會管也都是為了打詐其實理論上Google Meta平台理論上不是金管會要管的那LINE當時並沒有規範到是金管會管這可能是要統一去做一個數位平台的管理要在另外對我們希望我們今天把這個問題提出來就是不是只有大平台當然大平台先走但是
transcript.whisperx[559].start 14939.301
transcript.whisperx[559].end 14958.317
transcript.whisperx[559].text 到真正有殺傷鏈這部分你也要全面管管理這是一個跨部會的工作好不好但是希望你們就積極的提供意見跟專業的處置方式好不好希望慢慢來解決這件事情可以嗎好感謝委員指導好兩位辛苦了謝謝謝謝牛許廷委員的質詢接著我們鄭振賢委員鄭振賢委員鄭振賢委員不在
transcript.whisperx[560].start 14958.777
transcript.whisperx[560].end 14970.899
transcript.whisperx[560].text 接著我們請蘇清泉委員蘇清泉委員蘇清泉委員蘇清泉委員不在接著我們謝一鳳委員謝一鳳委員謝一鳳委員謝一鳳委員謝一鳳委員不在接著我們鄭天才委員鄭天才委員鄭天才委員不在接著我們請徐曉欣委員質詢謝謝主席那我想我們有請這個金管會黃主委有請黃主委
transcript.whisperx[561].start 14990.595
transcript.whisperx[561].end 15017.17
transcript.whisperx[561].text 委員恭喜您高票當選謝謝主委我們大家對於ETF都相當的關心那也會討論到金管會的整個監督的這個相關的職責那我們就舉2020年發生的一件事情來跟您做一個就教討論也就是當時元大的這個原油ETF的一個問題那簡單來說當時元大我們看到在2020年的時候有一個負油價之亂
transcript.whisperx[562].start 15018.351
transcript.whisperx[562].end 15045.343
transcript.whisperx[562].text 那負油價之亂當時針對ETF的討論就非常的多那主要呢在2020年4月20號因為新冠疫情在全球爆發所以石油價格首次的跌入了負數區間那當時WTI也就是西德州原油的石油價格一開始它暴跌到負38塊美元那按照規定呢ETF淨值為負值的時候主委我們的投信需要做怎樣的一些處置給投資人
transcript.whisperx[563].start 15048.732
transcript.whisperx[563].end 15063.811
transcript.whisperx[563].text 當時是沒有什麼下市的這些特別的沒有那個所謂通過股東會要去下市的規定當時好像就是公告之後就後來因為低於那個指標之後後來好像就下市了
transcript.whisperx[564].start 15065.272
transcript.whisperx[564].end 15087.131
transcript.whisperx[564].text 對 這個確實當時的狀況是這樣但是我們看到過程當中元大投信的問題他那時候為了因應這個狀況我們看下一張圖他們把這個石油期貨自行改成遠艙1.2倍等同於他是鎖死了淨值於0.5元不再連動這個油價的漲跌我要問一下主委這樣子的做法是合法合規的嗎
transcript.whisperx[565].start 15089.58
transcript.whisperx[565].end 15108.794
transcript.whisperx[565].text 我必須要說您非常專業拿這個個案來問我我真的要直接送你合不合法我現在真的記憶記不到那麼清楚但是當時是有裁罰就對了我知道有裁罰我等等會講但總之呢這個會造成一個狀況就是他用調整合約的方式呢他等同於是什麼因為他
transcript.whisperx[566].start 15109.915
transcript.whisperx[566].end 15138.729
transcript.whisperx[566].text 後續你看到這個圖他雖然一開始是跌的但他後來反彈了他反彈上去的狀況可是我們的淨值已經鎖死了所以變成你看下面那條橘色的線原大S&P它原油完全沒有上漲照理來說WTI它往上飆升它本來跌下來的時候你看它是一起跌結果它在2月12號2020年12月它反鎖死這件事情之後4月21號對不起鎖死之後它分離了
transcript.whisperx[567].start 15139.569
transcript.whisperx[567].end 15164.639
transcript.whisperx[567].text 變成後續WTI它上漲的時候元大它也沒有上漲這發生一個狀況是又有一個這個投資人不知道所以他以為還是兩倍連動所以他們不斷追買然後呢又有禁止低於兩塊錢要下市的規定它等於在4月21號買進的投資人已經注定用高價去購買一個必然虧損下市的產品我們要問這種狀況對投資人是公平的嗎
transcript.whisperx[568].start 15167.847
transcript.whisperx[568].end 15192.142
transcript.whisperx[568].text 我記得啦這個大概詳細我這邊沒辦法講的那麼精確的確他改免倉所禁止當時是有爭議的那後來在裁罰上也列入了一個內容但是我覺得更重要就是說這種元大石油障礙這種槓桿型他是屬於避險短期操作時不太適合做長期的投資他在篩選投資人的時候當時也有一些需要去調整的地方
transcript.whisperx[569].start 15192.642
transcript.whisperx[569].end 15216.743
transcript.whisperx[569].text 好那你們如果因為我要問的是說當時4月21號元大改原倉1.2億被鎖禁止的時候你們知不知情因為問題是如果你們知情但是你們沒有立刻的糾正或是阻止散戶去購買那這樣的話你們明明知道散戶如果這時候買進他一定會虧損下市可是我們卻沒有設定一個保護投資者權益的最後只輕輕的罰了元大60萬
transcript.whisperx[570].start 15217.964
transcript.whisperx[570].end 15238.215
transcript.whisperx[570].text 那對於投資者來說他可能就就是真的是賠盡自己的身家都有可能做這樣的狀況然後我們後來也知道元大有四大你們今晚會有提出四大要點今天時間不夠我不一一講那裁罰他60萬我要問的是後續我們金管會對類似這樣子的情況我們有沒有考慮有怎麼樣的一個精進作為
transcript.whisperx[571].start 15239.403
transcript.whisperx[571].end 15256.53
transcript.whisperx[571].text 有,我因為時間有限我會後我們會跟您報告但是後面對於那個他達到一定指標他要下市的那些程序包括那個那個叫分割反分割這些都有做一些規範那因為時間有限我怕我講的不正確
transcript.whisperx[572].start 15257.67
transcript.whisperx[572].end 15285.431
transcript.whisperx[572].text 好那你會後麻煩給我報告那最後我要表達的說當時有講說啊什麼如果有例外狀況的話可以調整契約等等的過去的例外狀況可能在ETF來說比方說啦泰國紅山軍抗議事件造成休止這是例外狀況沒有錯可是這是什麼例外狀況啊這基本上就是投信可能會因為這樣賠錢然後呢就變成是他反過頭來鎖死就欺騙公坑殺了散戶所以我們希望第一個
transcript.whisperx[573].start 15285.891
transcript.whisperx[573].end 15304.331
transcript.whisperx[573].text 金管會未來的策進作為金管會有沒有財閥過輕的問題以及袁大升為他全臺灣發行ETF的投信當中占比規模最大的那未來我們在管理的部分要如何進行麻煩我們主委再提供我們更精確的說明好嗎我們會照委員的提示去處理謝謝委員的指導
transcript.whisperx[574].start 15307.614
transcript.whisperx[574].end 15325.784
transcript.whisperx[574].text 謝謝我們徐小琴委員的質詢接著我們徐欣穎委員徐欣穎委員徐欣穎委員不在接著我們請何欣淳委員何欣淳委員何欣淳委員不在接著我們游皓委員游皓委員游皓委員游皓委員不在接著我們鍾嘉斌委員鍾嘉斌委員鍾嘉斌委員不在接著我們請黃國昌委員黃國昌委員黃國昌委員也不在好
transcript.whisperx[575].start 15326.877
transcript.whisperx[575].end 15355.697
transcript.whisperx[575].text 今日登記發言委員均已詢答完畢本日會議做如下的決定一、報告及詢答完畢二、委員諮詢及為即答覆或請補充資訊請金管會及央行於一周內以書面答覆委員另有要求期限者從其所定三、本日會議議程已進行完畢堂友不在場委員補題書面諮詢一併列入記錄刊登公報並請議事人員協助處理休息
transcript.whisperx[576].start 15361.888
transcript.whisperx[576].end 15362.408
transcript.whisperx[576].text 王國雄議員
transcript.whisperx[577].start 15387.141
transcript.whisperx[577].end 15387.762
transcript.whisperx[577].text 共互開國難不是國難是開國難