iVOD / 17309

Field Value
IVOD_ID 17309
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17309
日期 2026-03-30
會議資料.會議代碼 委員會-11-5-20-6
會議資料.會議代碼:str 第11屆第5會期財政委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 6
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5會期財政委員會第6次全體委員會議
影片種類 Full
開始時間 2026-03-30T08:31:02+08:00
結束時間 2026-03-30T12:13:00+08:00
影片長度 03:41:58
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e84a0a9d3ab318e792042dc10dca826773e07a0549bf20b5143af424687d436d55ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-03-30T09:00:00+08:00
會議名稱 立法院第11屆第5會期財政委員會第6次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:31:02 - 12:13:00
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 843.07221875
transcript.pyannote[0].end 844.21971875
transcript.pyannote[1].speaker SPEAKER_19
transcript.pyannote[1].start 1742.17221875
transcript.pyannote[1].end 1744.43346875
transcript.pyannote[2].speaker SPEAKER_08
transcript.pyannote[2].start 1745.14221875
transcript.pyannote[2].end 1748.04471875
transcript.pyannote[3].speaker SPEAKER_19
transcript.pyannote[3].start 1748.31471875
transcript.pyannote[3].end 1752.83721875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 1753.63034375
transcript.pyannote[4].end 1783.04346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 1783.07721875
transcript.pyannote[5].end 1783.11096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 1783.16159375
transcript.pyannote[6].end 1785.77721875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 1785.79409375
transcript.pyannote[7].end 1789.15221875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 1790.14784375
transcript.pyannote[8].end 1803.46221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 1804.69409375
transcript.pyannote[9].end 1806.60096875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 1806.68534375
transcript.pyannote[10].end 1806.76971875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 1806.80346875
transcript.pyannote[11].end 1818.14346875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 1818.83534375
transcript.pyannote[12].end 1823.02034375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 1823.40846875
transcript.pyannote[13].end 1826.96909375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 1827.28971875
transcript.pyannote[14].end 1842.78096875
transcript.pyannote[15].speaker SPEAKER_19
transcript.pyannote[15].start 1843.47284375
transcript.pyannote[15].end 1843.57409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 1843.57409375
transcript.pyannote[16].end 1844.78909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 1844.90721875
transcript.pyannote[17].end 1846.86471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 1847.21909375
transcript.pyannote[18].end 1855.97721875
transcript.pyannote[19].speaker SPEAKER_19
transcript.pyannote[19].start 1856.63534375
transcript.pyannote[19].end 1859.53784375
transcript.pyannote[20].speaker SPEAKER_19
transcript.pyannote[20].start 1862.87909375
transcript.pyannote[20].end 1865.91659375
transcript.pyannote[21].speaker SPEAKER_19
transcript.pyannote[21].start 1868.51534375
transcript.pyannote[21].end 1870.65846875
transcript.pyannote[22].speaker SPEAKER_19
transcript.pyannote[22].start 1872.61596875
transcript.pyannote[22].end 1873.52721875
transcript.pyannote[23].speaker SPEAKER_19
transcript.pyannote[23].start 1874.10096875
transcript.pyannote[23].end 1875.36659375
transcript.pyannote[24].speaker SPEAKER_19
transcript.pyannote[24].start 1877.32409375
transcript.pyannote[24].end 1879.34909375
transcript.pyannote[25].speaker SPEAKER_19
transcript.pyannote[25].start 1881.34034375
transcript.pyannote[25].end 1883.48346875
transcript.pyannote[26].speaker SPEAKER_19
transcript.pyannote[26].start 1885.23846875
transcript.pyannote[26].end 1887.88784375
transcript.pyannote[27].speaker SPEAKER_19
transcript.pyannote[27].start 1889.38971875
transcript.pyannote[27].end 1891.75221875
transcript.pyannote[28].speaker SPEAKER_19
transcript.pyannote[28].start 1893.23721875
transcript.pyannote[28].end 1895.49846875
transcript.pyannote[29].speaker SPEAKER_19
transcript.pyannote[29].start 1896.91596875
transcript.pyannote[29].end 1899.10971875
transcript.pyannote[30].speaker SPEAKER_19
transcript.pyannote[30].start 1900.13909375
transcript.pyannote[30].end 1901.99534375
transcript.pyannote[31].speaker SPEAKER_19
transcript.pyannote[31].start 1902.82221875
transcript.pyannote[31].end 1904.61096875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 1904.61096875
transcript.pyannote[32].end 1904.64471875
transcript.pyannote[33].speaker SPEAKER_19
transcript.pyannote[33].start 1905.67409375
transcript.pyannote[33].end 1905.70784375
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 1905.70784375
transcript.pyannote[34].end 1908.35721875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 1910.14596875
transcript.pyannote[35].end 1912.60971875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 1913.90909375
transcript.pyannote[36].end 1913.94284375
transcript.pyannote[37].speaker SPEAKER_19
transcript.pyannote[37].start 1913.94284375
transcript.pyannote[37].end 1916.35596875
transcript.pyannote[38].speaker SPEAKER_19
transcript.pyannote[38].start 1917.94221875
transcript.pyannote[38].end 1921.13159375
transcript.pyannote[39].speaker SPEAKER_19
transcript.pyannote[39].start 1928.53971875
transcript.pyannote[39].end 1930.83471875
transcript.pyannote[40].speaker SPEAKER_19
transcript.pyannote[40].start 1930.93596875
transcript.pyannote[40].end 1935.37409375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 1945.73534375
transcript.pyannote[41].end 1946.46096875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 1947.33846875
transcript.pyannote[42].end 1975.46909375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 1976.68409375
transcript.pyannote[43].end 1979.53596875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 1979.97471875
transcript.pyannote[44].end 1989.55971875
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 1990.89284375
transcript.pyannote[45].end 2003.53221875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 2003.95409375
transcript.pyannote[46].end 2009.15159375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 2010.58596875
transcript.pyannote[47].end 2011.15971875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 2011.56471875
transcript.pyannote[48].end 2016.03659375
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 2016.61034375
transcript.pyannote[49].end 2022.07784375
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 2022.44909375
transcript.pyannote[50].end 2028.55784375
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 2028.96284375
transcript.pyannote[51].end 2046.69846875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 2048.16659375
transcript.pyannote[52].end 2048.35221875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 2048.48721875
transcript.pyannote[53].end 2058.03846875
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 2060.89034375
transcript.pyannote[54].end 2070.89721875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 2071.45409375
transcript.pyannote[55].end 2076.22971875
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 2076.56721875
transcript.pyannote[56].end 2088.12659375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 2088.66659375
transcript.pyannote[57].end 2090.35409375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 2091.06284375
transcript.pyannote[58].end 2101.57596875
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 2102.26784375
transcript.pyannote[59].end 2120.54346875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 2120.96534375
transcript.pyannote[60].end 2126.98971875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 2127.61409375
transcript.pyannote[61].end 2135.07284375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2135.30909375
transcript.pyannote[62].end 2144.48909375
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 2145.01221875
transcript.pyannote[63].end 2146.29471875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2148.48846875
transcript.pyannote[64].end 2150.02409375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2150.93534375
transcript.pyannote[65].end 2151.86346875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2152.77471875
transcript.pyannote[66].end 2163.92909375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2164.50284375
transcript.pyannote[67].end 2164.78971875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2165.00909375
transcript.pyannote[68].end 2176.18034375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 2176.87221875
transcript.pyannote[69].end 2184.66846875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 2185.27596875
transcript.pyannote[70].end 2187.89159375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 2188.41471875
transcript.pyannote[71].end 2203.18034375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 2203.61909375
transcript.pyannote[72].end 2206.35284375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 2206.60596875
transcript.pyannote[73].end 2218.78971875
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 2219.24534375
transcript.pyannote[74].end 2229.38721875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 2231.96909375
transcript.pyannote[75].end 2238.58409375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 2239.37721875
transcript.pyannote[76].end 2244.50721875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 2244.94596875
transcript.pyannote[77].end 2248.57409375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 2248.86096875
transcript.pyannote[78].end 2256.67409375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 2261.83784375
transcript.pyannote[79].end 2263.22159375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2263.59284375
transcript.pyannote[80].end 2263.98096875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2265.06096875
transcript.pyannote[81].end 2265.80346875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2265.97221875
transcript.pyannote[82].end 2274.02159375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2274.37596875
transcript.pyannote[83].end 2294.72721875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 2296.29659375
transcript.pyannote[84].end 2299.04721875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2299.38471875
transcript.pyannote[85].end 2310.01596875
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2310.69096875
transcript.pyannote[86].end 2323.85346875
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2324.32596875
transcript.pyannote[87].end 2335.24409375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2335.58159375
transcript.pyannote[88].end 2336.34096875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2336.91471875
transcript.pyannote[89].end 2343.47909375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2343.81659375
transcript.pyannote[90].end 2345.14971875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2345.72346875
transcript.pyannote[91].end 2355.66284375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2356.69221875
transcript.pyannote[92].end 2379.86159375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2382.89909375
transcript.pyannote[93].end 2395.70721875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2395.92659375
transcript.pyannote[94].end 2402.94659375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2406.91221875
transcript.pyannote[95].end 2410.40534375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2410.81034375
transcript.pyannote[96].end 2411.50221875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2411.99159375
transcript.pyannote[97].end 2419.31534375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2419.72034375
transcript.pyannote[98].end 2423.38221875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 2427.48284375
transcript.pyannote[99].end 2428.37721875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2429.35596875
transcript.pyannote[100].end 2437.10159375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 2437.59096875
transcript.pyannote[101].end 2451.36096875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 2452.66034375
transcript.pyannote[102].end 2461.55346875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 2461.89096875
transcript.pyannote[103].end 2465.62034375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2465.83971875
transcript.pyannote[104].end 2481.60096875
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2481.68534375
transcript.pyannote[105].end 2498.15534375
transcript.pyannote[106].speaker SPEAKER_19
transcript.pyannote[106].start 2499.85971875
transcript.pyannote[106].end 2509.54596875
transcript.pyannote[107].speaker SPEAKER_19
transcript.pyannote[107].start 2510.03534375
transcript.pyannote[107].end 2512.48221875
transcript.pyannote[108].speaker SPEAKER_19
transcript.pyannote[108].start 2512.71846875
transcript.pyannote[108].end 2514.10221875
transcript.pyannote[109].speaker SPEAKER_19
transcript.pyannote[109].start 2514.81096875
transcript.pyannote[109].end 2515.99221875
transcript.pyannote[110].speaker SPEAKER_19
transcript.pyannote[110].start 2516.48159375
transcript.pyannote[110].end 2520.88596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2535.87096875
transcript.pyannote[111].end 2544.12284375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2549.94471875
transcript.pyannote[112].end 2564.03534375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2564.40659375
transcript.pyannote[113].end 2580.45471875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 2581.19721875
transcript.pyannote[114].end 2581.83846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2582.53034375
transcript.pyannote[115].end 2583.62721875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2583.62721875
transcript.pyannote[116].end 2583.94784375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 2584.13346875
transcript.pyannote[117].end 2594.39346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 2594.39346875
transcript.pyannote[118].end 2598.88221875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 2595.82784375
transcript.pyannote[119].end 2596.70534375
transcript.pyannote[120].speaker SPEAKER_15
transcript.pyannote[120].start 2596.70534375
transcript.pyannote[120].end 2596.73909375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 2599.03409375
transcript.pyannote[121].end 2600.67096875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 2600.67096875
transcript.pyannote[122].end 2633.03721875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 2633.03721875
transcript.pyannote[123].end 2639.97284375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 2639.97284375
transcript.pyannote[124].end 2641.03596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 2641.03596875
transcript.pyannote[125].end 2641.72784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 2642.25096875
transcript.pyannote[126].end 2646.85784375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 2643.73596875
transcript.pyannote[127].end 2644.00596875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2646.31784375
transcript.pyannote[128].end 2646.72284375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 2646.94221875
transcript.pyannote[129].end 2647.58346875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 2647.76909375
transcript.pyannote[130].end 2651.02596875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 2651.70096875
transcript.pyannote[131].end 2659.48034375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2659.48034375
transcript.pyannote[132].end 2672.00159375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2672.23784375
transcript.pyannote[133].end 2679.25784375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 2678.65034375
transcript.pyannote[134].end 2687.93159375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 2687.94846875
transcript.pyannote[135].end 2691.96471875
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 2691.96471875
transcript.pyannote[136].end 2719.70721875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 2719.70721875
transcript.pyannote[137].end 2768.96534375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2768.96534375
transcript.pyannote[138].end 2822.22284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 2799.07034375
transcript.pyannote[139].end 2799.62721875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 2809.27971875
transcript.pyannote[140].end 2810.44409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 2810.73096875
transcript.pyannote[141].end 2811.69284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 2815.23659375
transcript.pyannote[142].end 2815.55721875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 2818.67909375
transcript.pyannote[143].end 2819.70846875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 2822.35784375
transcript.pyannote[144].end 2836.04346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 2822.45909375
transcript.pyannote[145].end 2822.94846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 2830.28909375
transcript.pyannote[146].end 2832.29721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 2834.23784375
transcript.pyannote[147].end 2834.72721875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 2835.25034375
transcript.pyannote[148].end 2836.34721875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 2836.88721875
transcript.pyannote[149].end 2838.22034375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 2838.82784375
transcript.pyannote[150].end 2889.97596875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 2889.97596875
transcript.pyannote[151].end 2896.28721875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 2895.88221875
transcript.pyannote[152].end 2896.50659375
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 2896.43909375
transcript.pyannote[153].end 2911.03596875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 2909.90534375
transcript.pyannote[154].end 2911.01909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 2911.03596875
transcript.pyannote[155].end 2912.14971875
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 2912.14971875
transcript.pyannote[156].end 2912.16659375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 2912.16659375
transcript.pyannote[157].end 2934.98159375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 2912.28471875
transcript.pyannote[158].end 2913.97221875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 2935.09971875
transcript.pyannote[159].end 2950.64159375
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 2942.30534375
transcript.pyannote[160].end 2943.21659375
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 2944.88721875
transcript.pyannote[161].end 2946.57471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 2951.16471875
transcript.pyannote[162].end 2952.80159375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 2952.80159375
transcript.pyannote[163].end 2958.18471875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 2958.52221875
transcript.pyannote[164].end 2971.11096875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 2967.66846875
transcript.pyannote[165].end 2968.51221875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 2968.78221875
transcript.pyannote[166].end 2970.68909375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 2971.11096875
transcript.pyannote[167].end 2989.38659375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 2990.16284375
transcript.pyannote[168].end 3010.39596875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 3011.08784375
transcript.pyannote[169].end 3040.45034375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 3018.83346875
transcript.pyannote[170].end 3019.72784375
transcript.pyannote[171].speaker SPEAKER_09
transcript.pyannote[171].start 3019.72784375
transcript.pyannote[171].end 3019.74471875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 3021.49971875
transcript.pyannote[172].end 3021.56721875
transcript.pyannote[173].speaker SPEAKER_09
transcript.pyannote[173].start 3028.06409375
transcript.pyannote[173].end 3028.90784375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 3040.77096875
transcript.pyannote[174].end 3041.73284375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 3041.73284375
transcript.pyannote[175].end 3066.11721875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 3050.92971875
transcript.pyannote[176].end 3051.03096875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 3051.25034375
transcript.pyannote[177].end 3051.30096875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 3066.11721875
transcript.pyannote[178].end 3070.35284375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 3070.84221875
transcript.pyannote[179].end 3077.55846875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 3073.03596875
transcript.pyannote[180].end 3073.35659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 3076.25909375
transcript.pyannote[181].end 3078.94221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 3079.48221875
transcript.pyannote[182].end 3080.20784375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 3080.57909375
transcript.pyannote[183].end 3081.15284375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 3082.36784375
transcript.pyannote[184].end 3085.42221875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 3085.60784375
transcript.pyannote[185].end 3112.16909375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 3097.67346875
transcript.pyannote[186].end 3098.06159375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 3112.27034375
transcript.pyannote[187].end 3124.62284375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 3119.59409375
transcript.pyannote[188].end 3119.91471875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 3122.71596875
transcript.pyannote[189].end 3127.60971875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 3125.98971875
transcript.pyannote[190].end 3126.61409375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 3126.86721875
transcript.pyannote[191].end 3126.98534375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 3128.14971875
transcript.pyannote[192].end 3146.83034375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 3146.93159375
transcript.pyannote[193].end 3149.00721875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 3149.88471875
transcript.pyannote[194].end 3165.05534375
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 3163.57034375
transcript.pyannote[195].end 3167.26596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 3166.16909375
transcript.pyannote[196].end 3166.43909375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 3167.35034375
transcript.pyannote[197].end 3169.40909375
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 3168.31221875
transcript.pyannote[198].end 3168.70034375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 3169.40909375
transcript.pyannote[199].end 3169.57784375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 3169.57784375
transcript.pyannote[200].end 3222.86909375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 3175.46721875
transcript.pyannote[201].end 3175.55159375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 3176.36159375
transcript.pyannote[202].end 3176.41221875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 3176.42909375
transcript.pyannote[203].end 3176.44596875
transcript.pyannote[204].speaker SPEAKER_09
transcript.pyannote[204].start 3176.44596875
transcript.pyannote[204].end 3176.51346875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 3176.51346875
transcript.pyannote[205].end 3176.54721875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 3181.05284375
transcript.pyannote[206].end 3181.96409375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 3223.40909375
transcript.pyannote[207].end 3224.97846875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 3224.97846875
transcript.pyannote[208].end 3230.39534375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 3227.44221875
transcript.pyannote[209].end 3229.65284375
transcript.pyannote[210].speaker SPEAKER_19
transcript.pyannote[210].start 3230.39534375
transcript.pyannote[210].end 3230.51346875
transcript.pyannote[211].speaker SPEAKER_19
transcript.pyannote[211].start 3230.66534375
transcript.pyannote[211].end 3230.74971875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 3230.74971875
transcript.pyannote[212].end 3231.96471875
transcript.pyannote[213].speaker SPEAKER_19
transcript.pyannote[213].start 3231.96471875
transcript.pyannote[213].end 3236.08221875
transcript.pyannote[214].speaker SPEAKER_19
transcript.pyannote[214].start 3236.97659375
transcript.pyannote[214].end 3238.74846875
transcript.pyannote[215].speaker SPEAKER_19
transcript.pyannote[215].start 3239.03534375
transcript.pyannote[215].end 3241.98846875
transcript.pyannote[216].speaker SPEAKER_19
transcript.pyannote[216].start 3247.79346875
transcript.pyannote[216].end 3247.81034375
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 3247.81034375
transcript.pyannote[217].end 3251.94471875
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 3256.28159375
transcript.pyannote[218].end 3257.02409375
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 3257.41221875
transcript.pyannote[219].end 3293.81159375
transcript.pyannote[220].speaker SPEAKER_07
transcript.pyannote[220].start 3294.21659375
transcript.pyannote[220].end 3310.24784375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3310.24784375
transcript.pyannote[221].end 3310.82159375
transcript.pyannote[222].speaker SPEAKER_07
transcript.pyannote[222].start 3310.97346875
transcript.pyannote[222].end 3343.76159375
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 3317.14971875
transcript.pyannote[223].end 3317.43659375
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3317.45346875
transcript.pyannote[224].end 3317.50409375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 3320.64284375
transcript.pyannote[225].end 3320.76096875
transcript.pyannote[226].speaker SPEAKER_07
transcript.pyannote[226].start 3344.63909375
transcript.pyannote[226].end 3360.43409375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3356.51909375
transcript.pyannote[227].end 3361.63221875
transcript.pyannote[228].speaker SPEAKER_07
transcript.pyannote[228].start 3361.78409375
transcript.pyannote[228].end 3364.04534375
transcript.pyannote[229].speaker SPEAKER_07
transcript.pyannote[229].start 3364.23096875
transcript.pyannote[229].end 3367.79159375
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 3368.65221875
transcript.pyannote[230].end 3392.02409375
transcript.pyannote[231].speaker SPEAKER_09
transcript.pyannote[231].start 3374.89596875
transcript.pyannote[231].end 3375.19971875
transcript.pyannote[232].speaker SPEAKER_09
transcript.pyannote[232].start 3381.96659375
transcript.pyannote[232].end 3382.16909375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 3387.07971875
transcript.pyannote[233].end 3387.18096875
transcript.pyannote[234].speaker SPEAKER_14
transcript.pyannote[234].start 3387.18096875
transcript.pyannote[234].end 3387.87284375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 3387.87284375
transcript.pyannote[235].end 3388.12596875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3388.21034375
transcript.pyannote[236].end 3388.41284375
transcript.pyannote[237].speaker SPEAKER_14
transcript.pyannote[237].start 3388.41284375
transcript.pyannote[237].end 3389.05409375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3389.05409375
transcript.pyannote[238].end 3389.10471875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3392.02409375
transcript.pyannote[239].end 3467.87721875
transcript.pyannote[240].speaker SPEAKER_07
transcript.pyannote[240].start 3439.76346875
transcript.pyannote[240].end 3443.69534375
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 3467.05034375
transcript.pyannote[241].end 3467.84346875
transcript.pyannote[242].speaker SPEAKER_07
transcript.pyannote[242].start 3467.87721875
transcript.pyannote[242].end 3467.91096875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 3467.91096875
transcript.pyannote[243].end 3467.94471875
transcript.pyannote[244].speaker SPEAKER_07
transcript.pyannote[244].start 3467.94471875
transcript.pyannote[244].end 3483.46971875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 3467.96159375
transcript.pyannote[245].end 3468.83909375
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 3471.52221875
transcript.pyannote[246].end 3472.06221875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 3475.90971875
transcript.pyannote[247].end 3475.92659375
transcript.pyannote[248].speaker SPEAKER_08
transcript.pyannote[248].start 3475.92659375
transcript.pyannote[248].end 3476.02784375
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 3476.02784375
transcript.pyannote[249].end 3477.37784375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 3480.41534375
transcript.pyannote[250].end 3490.57409375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3491.06346875
transcript.pyannote[251].end 3505.52534375
transcript.pyannote[252].speaker SPEAKER_07
transcript.pyannote[252].start 3503.78721875
transcript.pyannote[252].end 3523.44659375
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3505.55909375
transcript.pyannote[253].end 3505.84596875
transcript.pyannote[254].speaker SPEAKER_07
transcript.pyannote[254].start 3523.58159375
transcript.pyannote[254].end 3527.12534375
transcript.pyannote[255].speaker SPEAKER_07
transcript.pyannote[255].start 3527.88471875
transcript.pyannote[255].end 3532.06971875
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 3530.85471875
transcript.pyannote[256].end 3538.07721875
transcript.pyannote[257].speaker SPEAKER_07
transcript.pyannote[257].start 3533.68971875
transcript.pyannote[257].end 3534.02721875
transcript.pyannote[258].speaker SPEAKER_07
transcript.pyannote[258].start 3536.94659375
transcript.pyannote[258].end 3540.05159375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 3538.54971875
transcript.pyannote[259].end 3539.79846875
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3540.05159375
transcript.pyannote[260].end 3540.08534375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 3540.16971875
transcript.pyannote[261].end 3566.78159375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 3565.88721875
transcript.pyannote[262].end 3566.62971875
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 3567.08534375
transcript.pyannote[263].end 3590.55846875
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 3570.03846875
transcript.pyannote[264].end 3570.17346875
transcript.pyannote[265].speaker SPEAKER_08
transcript.pyannote[265].start 3585.41159375
transcript.pyannote[265].end 3586.45784375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 3591.40221875
transcript.pyannote[266].end 3594.18659375
transcript.pyannote[267].speaker SPEAKER_07
transcript.pyannote[267].start 3592.33034375
transcript.pyannote[267].end 3593.14034375
transcript.pyannote[268].speaker SPEAKER_07
transcript.pyannote[268].start 3593.39346875
transcript.pyannote[268].end 3594.70971875
transcript.pyannote[269].speaker SPEAKER_07
transcript.pyannote[269].start 3594.96284375
transcript.pyannote[269].end 3624.88221875
transcript.pyannote[270].speaker SPEAKER_09
transcript.pyannote[270].start 3601.76346875
transcript.pyannote[270].end 3602.20221875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 3602.20221875
transcript.pyannote[271].end 3602.26971875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 3605.52659375
transcript.pyannote[272].end 3605.98221875
transcript.pyannote[273].speaker SPEAKER_09
transcript.pyannote[273].start 3624.88221875
transcript.pyannote[273].end 3625.03409375
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 3625.03409375
transcript.pyannote[274].end 3641.25096875
transcript.pyannote[275].speaker SPEAKER_09
transcript.pyannote[275].start 3625.06784375
transcript.pyannote[275].end 3625.16909375
transcript.pyannote[276].speaker SPEAKER_09
transcript.pyannote[276].start 3629.10096875
transcript.pyannote[276].end 3629.53971875
transcript.pyannote[277].speaker SPEAKER_09
transcript.pyannote[277].start 3629.80971875
transcript.pyannote[277].end 3630.09659375
transcript.pyannote[278].speaker SPEAKER_09
transcript.pyannote[278].start 3636.59346875
transcript.pyannote[278].end 3637.65659375
transcript.pyannote[279].speaker SPEAKER_09
transcript.pyannote[279].start 3637.84221875
transcript.pyannote[279].end 3638.09534375
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 3640.40721875
transcript.pyannote[280].end 3640.42409375
transcript.pyannote[281].speaker SPEAKER_09
transcript.pyannote[281].start 3640.42409375
transcript.pyannote[281].end 3640.86284375
transcript.pyannote[282].speaker SPEAKER_09
transcript.pyannote[282].start 3641.11596875
transcript.pyannote[282].end 3641.13284375
transcript.pyannote[283].speaker SPEAKER_09
transcript.pyannote[283].start 3641.20034375
transcript.pyannote[283].end 3641.21721875
transcript.pyannote[284].speaker SPEAKER_09
transcript.pyannote[284].start 3641.25096875
transcript.pyannote[284].end 3641.52096875
transcript.pyannote[285].speaker SPEAKER_07
transcript.pyannote[285].start 3641.52096875
transcript.pyannote[285].end 3647.96721875
transcript.pyannote[286].speaker SPEAKER_09
transcript.pyannote[286].start 3641.55471875
transcript.pyannote[286].end 3641.58846875
transcript.pyannote[287].speaker SPEAKER_09
transcript.pyannote[287].start 3643.51221875
transcript.pyannote[287].end 3643.66409375
transcript.pyannote[288].speaker SPEAKER_04
transcript.pyannote[288].start 3643.66409375
transcript.pyannote[288].end 3643.71471875
transcript.pyannote[289].speaker SPEAKER_09
transcript.pyannote[289].start 3643.71471875
transcript.pyannote[289].end 3643.76534375
transcript.pyannote[290].speaker SPEAKER_05
transcript.pyannote[290].start 3643.76534375
transcript.pyannote[290].end 3643.78221875
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 3647.96721875
transcript.pyannote[291].end 3691.99409375
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 3693.14159375
transcript.pyannote[292].end 3696.71909375
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 3694.40721875
transcript.pyannote[293].end 3694.64346875
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 3696.24659375
transcript.pyannote[294].end 3696.55034375
transcript.pyannote[295].speaker SPEAKER_07
transcript.pyannote[295].start 3697.51221875
transcript.pyannote[295].end 3711.60284375
transcript.pyannote[296].speaker SPEAKER_09
transcript.pyannote[296].start 3707.90721875
transcript.pyannote[296].end 3709.40909375
transcript.pyannote[297].speaker SPEAKER_09
transcript.pyannote[297].start 3709.74659375
transcript.pyannote[297].end 3710.13471875
transcript.pyannote[298].speaker SPEAKER_09
transcript.pyannote[298].start 3711.60284375
transcript.pyannote[298].end 3711.67034375
transcript.pyannote[299].speaker SPEAKER_07
transcript.pyannote[299].start 3711.67034375
transcript.pyannote[299].end 3711.68721875
transcript.pyannote[300].speaker SPEAKER_09
transcript.pyannote[300].start 3711.68721875
transcript.pyannote[300].end 3711.72096875
transcript.pyannote[301].speaker SPEAKER_07
transcript.pyannote[301].start 3711.72096875
transcript.pyannote[301].end 3735.44721875
transcript.pyannote[302].speaker SPEAKER_09
transcript.pyannote[302].start 3716.91846875
transcript.pyannote[302].end 3717.74534375
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 3722.03159375
transcript.pyannote[303].end 3722.45346875
transcript.pyannote[304].speaker SPEAKER_09
transcript.pyannote[304].start 3725.25471875
transcript.pyannote[304].end 3727.00971875
transcript.pyannote[305].speaker SPEAKER_09
transcript.pyannote[305].start 3727.81971875
transcript.pyannote[305].end 3728.35971875
transcript.pyannote[306].speaker SPEAKER_09
transcript.pyannote[306].start 3728.44409375
transcript.pyannote[306].end 3728.56221875
transcript.pyannote[307].speaker SPEAKER_09
transcript.pyannote[307].start 3735.29534375
transcript.pyannote[307].end 3735.71721875
transcript.pyannote[308].speaker SPEAKER_07
transcript.pyannote[308].start 3735.71721875
transcript.pyannote[308].end 3736.57784375
transcript.pyannote[309].speaker SPEAKER_07
transcript.pyannote[309].start 3736.66221875
transcript.pyannote[309].end 3744.89721875
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 3741.08346875
transcript.pyannote[310].end 3741.10034375
transcript.pyannote[311].speaker SPEAKER_09
transcript.pyannote[311].start 3741.10034375
transcript.pyannote[311].end 3741.45471875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 3741.45471875
transcript.pyannote[312].end 3741.57284375
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 3744.96471875
transcript.pyannote[313].end 3745.42034375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 3746.01096875
transcript.pyannote[314].end 3751.86659375
transcript.pyannote[315].speaker SPEAKER_07
transcript.pyannote[315].start 3746.11221875
transcript.pyannote[315].end 3746.71971875
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3752.17034375
transcript.pyannote[316].end 3762.24471875
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 3762.58221875
transcript.pyannote[317].end 3771.17159375
transcript.pyannote[318].speaker SPEAKER_07
transcript.pyannote[318].start 3771.99846875
transcript.pyannote[318].end 3777.43221875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 3777.38159375
transcript.pyannote[319].end 3808.97159375
transcript.pyannote[320].speaker SPEAKER_07
transcript.pyannote[320].start 3807.33471875
transcript.pyannote[320].end 3808.43159375
transcript.pyannote[321].speaker SPEAKER_07
transcript.pyannote[321].start 3808.97159375
transcript.pyannote[321].end 3809.62971875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 3809.62971875
transcript.pyannote[322].end 3811.06409375
transcript.pyannote[323].speaker SPEAKER_07
transcript.pyannote[323].start 3809.64659375
transcript.pyannote[323].end 3848.91471875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 3814.28721875
transcript.pyannote[324].end 3815.01284375
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 3815.68784375
transcript.pyannote[325].end 3815.97471875
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 3815.97471875
transcript.pyannote[326].end 3816.97034375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 3817.42596875
transcript.pyannote[327].end 3817.79721875
transcript.pyannote[328].speaker SPEAKER_09
transcript.pyannote[328].start 3821.44221875
transcript.pyannote[328].end 3821.93159375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3848.91471875
transcript.pyannote[329].end 3866.05971875
transcript.pyannote[330].speaker SPEAKER_07
transcript.pyannote[330].start 3865.46909375
transcript.pyannote[330].end 3867.51096875
transcript.pyannote[331].speaker SPEAKER_04
transcript.pyannote[331].start 3867.51096875
transcript.pyannote[331].end 3885.82034375
transcript.pyannote[332].speaker SPEAKER_07
transcript.pyannote[332].start 3867.54471875
transcript.pyannote[332].end 3870.97034375
transcript.pyannote[333].speaker SPEAKER_07
transcript.pyannote[333].start 3885.95534375
transcript.pyannote[333].end 3894.54471875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 3894.54471875
transcript.pyannote[334].end 3906.79596875
transcript.pyannote[335].speaker SPEAKER_07
transcript.pyannote[335].start 3900.11346875
transcript.pyannote[335].end 3902.83034375
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 3907.85909375
transcript.pyannote[336].end 3913.63034375
transcript.pyannote[337].speaker SPEAKER_07
transcript.pyannote[337].start 3907.87596875
transcript.pyannote[337].end 3910.40721875
transcript.pyannote[338].speaker SPEAKER_07
transcript.pyannote[338].start 3913.98471875
transcript.pyannote[338].end 3928.78409375
transcript.pyannote[339].speaker SPEAKER_04
transcript.pyannote[339].start 3919.63784375
transcript.pyannote[339].end 3920.61659375
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 3920.61659375
transcript.pyannote[340].end 3920.63346875
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 3926.37096875
transcript.pyannote[341].end 3934.94346875
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 3949.10159375
transcript.pyannote[342].end 3952.00409375
transcript.pyannote[343].speaker SPEAKER_19
transcript.pyannote[343].start 3952.00409375
transcript.pyannote[343].end 3952.07159375
transcript.pyannote[344].speaker SPEAKER_10
transcript.pyannote[344].start 3952.37534375
transcript.pyannote[344].end 3952.39221875
transcript.pyannote[345].speaker SPEAKER_19
transcript.pyannote[345].start 3952.39221875
transcript.pyannote[345].end 3952.42596875
transcript.pyannote[346].speaker SPEAKER_10
transcript.pyannote[346].start 3952.42596875
transcript.pyannote[346].end 3952.64534375
transcript.pyannote[347].speaker SPEAKER_19
transcript.pyannote[347].start 3952.64534375
transcript.pyannote[347].end 3952.88159375
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 3952.88159375
transcript.pyannote[348].end 3952.96596875
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 3952.96596875
transcript.pyannote[349].end 3954.87284375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 3958.53471875
transcript.pyannote[350].end 3959.51346875
transcript.pyannote[351].speaker SPEAKER_04
transcript.pyannote[351].start 3959.51346875
transcript.pyannote[351].end 3959.54721875
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 3960.00284375
transcript.pyannote[352].end 3960.03659375
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 3960.03659375
transcript.pyannote[353].end 3962.09534375
transcript.pyannote[354].speaker SPEAKER_10
transcript.pyannote[354].start 3962.09534375
transcript.pyannote[354].end 3962.11221875
transcript.pyannote[355].speaker SPEAKER_04
transcript.pyannote[355].start 3962.98971875
transcript.pyannote[355].end 3963.02346875
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 3963.02346875
transcript.pyannote[356].end 3963.51284375
transcript.pyannote[357].speaker SPEAKER_10
transcript.pyannote[357].start 3963.91784375
transcript.pyannote[357].end 3964.66034375
transcript.pyannote[358].speaker SPEAKER_04
transcript.pyannote[358].start 3965.26784375
transcript.pyannote[358].end 3965.28471875
transcript.pyannote[359].speaker SPEAKER_10
transcript.pyannote[359].start 3965.28471875
transcript.pyannote[359].end 3965.82471875
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 3966.51659375
transcript.pyannote[360].end 3966.53346875
transcript.pyannote[361].speaker SPEAKER_10
transcript.pyannote[361].start 3966.53346875
transcript.pyannote[361].end 3966.55034375
transcript.pyannote[362].speaker SPEAKER_04
transcript.pyannote[362].start 3966.55034375
transcript.pyannote[362].end 3966.97221875
transcript.pyannote[363].speaker SPEAKER_10
transcript.pyannote[363].start 3966.97221875
transcript.pyannote[363].end 3971.74784375
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 3968.27159375
transcript.pyannote[364].end 3969.94221875
transcript.pyannote[365].speaker SPEAKER_04
transcript.pyannote[365].start 3972.00096875
transcript.pyannote[365].end 3979.13909375
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 3976.10159375
transcript.pyannote[366].end 3977.70471875
transcript.pyannote[367].speaker SPEAKER_10
transcript.pyannote[367].start 3979.00409375
transcript.pyannote[367].end 3981.31596875
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 3980.01659375
transcript.pyannote[368].end 3980.75909375
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 3981.31596875
transcript.pyannote[369].end 3981.77159375
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 3981.77159375
transcript.pyannote[370].end 3983.61096875
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 3982.29471875
transcript.pyannote[371].end 3982.49721875
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 3983.89784375
transcript.pyannote[372].end 3985.90596875
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 3985.99034375
transcript.pyannote[373].end 3995.33909375
transcript.pyannote[374].speaker SPEAKER_10
transcript.pyannote[374].start 3995.82846875
transcript.pyannote[374].end 3997.54971875
transcript.pyannote[375].speaker SPEAKER_10
transcript.pyannote[375].start 3998.00534375
transcript.pyannote[375].end 4002.78096875
transcript.pyannote[376].speaker SPEAKER_04
transcript.pyannote[376].start 4003.25346875
transcript.pyannote[376].end 4025.93346875
transcript.pyannote[377].speaker SPEAKER_10
transcript.pyannote[377].start 4025.93346875
transcript.pyannote[377].end 4028.09346875
transcript.pyannote[378].speaker SPEAKER_04
transcript.pyannote[378].start 4026.59159375
transcript.pyannote[378].end 4027.09784375
transcript.pyannote[379].speaker SPEAKER_04
transcript.pyannote[379].start 4027.14846875
transcript.pyannote[379].end 4027.35096875
transcript.pyannote[380].speaker SPEAKER_04
transcript.pyannote[380].start 4027.41846875
transcript.pyannote[380].end 4027.55346875
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 4027.57034375
transcript.pyannote[381].end 4028.05971875
transcript.pyannote[382].speaker SPEAKER_04
transcript.pyannote[382].start 4028.09346875
transcript.pyannote[382].end 4028.48159375
transcript.pyannote[383].speaker SPEAKER_10
transcript.pyannote[383].start 4028.48159375
transcript.pyannote[383].end 4040.02409375
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 4028.98784375
transcript.pyannote[384].end 4030.16909375
transcript.pyannote[385].speaker SPEAKER_04
transcript.pyannote[385].start 4030.65846875
transcript.pyannote[385].end 4030.74284375
transcript.pyannote[386].speaker SPEAKER_04
transcript.pyannote[386].start 4031.18159375
transcript.pyannote[386].end 4031.23221875
transcript.pyannote[387].speaker SPEAKER_04
transcript.pyannote[387].start 4031.41784375
transcript.pyannote[387].end 4031.78909375
transcript.pyannote[388].speaker SPEAKER_04
transcript.pyannote[388].start 4036.86846875
transcript.pyannote[388].end 4052.32596875
transcript.pyannote[389].speaker SPEAKER_10
transcript.pyannote[389].start 4052.32596875
transcript.pyannote[389].end 4052.34284375
transcript.pyannote[390].speaker SPEAKER_04
transcript.pyannote[390].start 4053.01784375
transcript.pyannote[390].end 4070.34846875
transcript.pyannote[391].speaker SPEAKER_10
transcript.pyannote[391].start 4053.65909375
transcript.pyannote[391].end 4054.58721875
transcript.pyannote[392].speaker SPEAKER_09
transcript.pyannote[392].start 4055.65034375
transcript.pyannote[392].end 4055.76846875
transcript.pyannote[393].speaker SPEAKER_10
transcript.pyannote[393].start 4055.76846875
transcript.pyannote[393].end 4056.15659375
transcript.pyannote[394].speaker SPEAKER_09
transcript.pyannote[394].start 4058.29971875
transcript.pyannote[394].end 4058.92409375
transcript.pyannote[395].speaker SPEAKER_10
transcript.pyannote[395].start 4065.03284375
transcript.pyannote[395].end 4066.72034375
transcript.pyannote[396].speaker SPEAKER_10
transcript.pyannote[396].start 4070.51721875
transcript.pyannote[396].end 4079.84909375
transcript.pyannote[397].speaker SPEAKER_04
transcript.pyannote[397].start 4073.13284375
transcript.pyannote[397].end 4074.24659375
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 4080.37221875
transcript.pyannote[398].end 4083.03846875
transcript.pyannote[399].speaker SPEAKER_04
transcript.pyannote[399].start 4080.57471875
transcript.pyannote[399].end 4080.70971875
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 4083.03846875
transcript.pyannote[400].end 4106.76471875
transcript.pyannote[401].speaker SPEAKER_10
transcript.pyannote[401].start 4083.84846875
transcript.pyannote[401].end 4084.05096875
transcript.pyannote[402].speaker SPEAKER_10
transcript.pyannote[402].start 4084.37159375
transcript.pyannote[402].end 4084.52346875
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 4084.52346875
transcript.pyannote[403].end 4084.57409375
transcript.pyannote[404].speaker SPEAKER_10
transcript.pyannote[404].start 4084.57409375
transcript.pyannote[404].end 4084.59096875
transcript.pyannote[405].speaker SPEAKER_09
transcript.pyannote[405].start 4084.59096875
transcript.pyannote[405].end 4084.67534375
transcript.pyannote[406].speaker SPEAKER_10
transcript.pyannote[406].start 4084.67534375
transcript.pyannote[406].end 4085.97471875
transcript.pyannote[407].speaker SPEAKER_09
transcript.pyannote[407].start 4085.97471875
transcript.pyannote[407].end 4087.51034375
transcript.pyannote[408].speaker SPEAKER_10
transcript.pyannote[408].start 4092.28596875
transcript.pyannote[408].end 4093.63596875
transcript.pyannote[409].speaker SPEAKER_10
transcript.pyannote[409].start 4104.89159375
transcript.pyannote[409].end 4109.02596875
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 4109.97096875
transcript.pyannote[410].end 4117.42971875
transcript.pyannote[411].speaker SPEAKER_10
transcript.pyannote[411].start 4114.32471875
transcript.pyannote[411].end 4117.36221875
transcript.pyannote[412].speaker SPEAKER_04
transcript.pyannote[412].start 4117.56471875
transcript.pyannote[412].end 4123.65659375
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 4124.80409375
transcript.pyannote[413].end 4127.40284375
transcript.pyannote[414].speaker SPEAKER_10
transcript.pyannote[414].start 4127.48721875
transcript.pyannote[414].end 4128.85409375
transcript.pyannote[415].speaker SPEAKER_10
transcript.pyannote[415].start 4129.66409375
transcript.pyannote[415].end 4132.02659375
transcript.pyannote[416].speaker SPEAKER_10
transcript.pyannote[416].start 4133.10659375
transcript.pyannote[416].end 4135.90784375
transcript.pyannote[417].speaker SPEAKER_10
transcript.pyannote[417].start 4135.97534375
transcript.pyannote[417].end 4142.62409375
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 4140.46409375
transcript.pyannote[418].end 4140.75096875
transcript.pyannote[419].speaker SPEAKER_04
transcript.pyannote[419].start 4140.95346875
transcript.pyannote[419].end 4159.51596875
transcript.pyannote[420].speaker SPEAKER_10
transcript.pyannote[420].start 4151.92221875
transcript.pyannote[420].end 4152.74909375
transcript.pyannote[421].speaker SPEAKER_10
transcript.pyannote[421].start 4155.53346875
transcript.pyannote[421].end 4156.02284375
transcript.pyannote[422].speaker SPEAKER_09
transcript.pyannote[422].start 4156.02284375
transcript.pyannote[422].end 4156.05659375
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 4156.05659375
transcript.pyannote[423].end 4158.03096875
transcript.pyannote[424].speaker SPEAKER_09
transcript.pyannote[424].start 4158.03096875
transcript.pyannote[424].end 4159.60034375
transcript.pyannote[425].speaker SPEAKER_04
transcript.pyannote[425].start 4159.60034375
transcript.pyannote[425].end 4159.61721875
transcript.pyannote[426].speaker SPEAKER_09
transcript.pyannote[426].start 4159.61721875
transcript.pyannote[426].end 4159.68471875
transcript.pyannote[427].speaker SPEAKER_10
transcript.pyannote[427].start 4159.97159375
transcript.pyannote[427].end 4159.98846875
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 4159.98846875
transcript.pyannote[428].end 4160.03909375
transcript.pyannote[429].speaker SPEAKER_10
transcript.pyannote[429].start 4160.03909375
transcript.pyannote[429].end 4160.08971875
transcript.pyannote[430].speaker SPEAKER_09
transcript.pyannote[430].start 4160.08971875
transcript.pyannote[430].end 4160.39346875
transcript.pyannote[431].speaker SPEAKER_04
transcript.pyannote[431].start 4160.39346875
transcript.pyannote[431].end 4160.47784375
transcript.pyannote[432].speaker SPEAKER_09
transcript.pyannote[432].start 4160.47784375
transcript.pyannote[432].end 4162.63784375
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 4160.62971875
transcript.pyannote[433].end 4189.68846875
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 4162.67159375
transcript.pyannote[434].end 4162.72221875
transcript.pyannote[435].speaker SPEAKER_09
transcript.pyannote[435].start 4163.36346875
transcript.pyannote[435].end 4166.01284375
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 4166.06346875
transcript.pyannote[436].end 4166.97471875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 4168.91534375
transcript.pyannote[437].end 4171.26096875
transcript.pyannote[438].speaker SPEAKER_10
transcript.pyannote[438].start 4176.62721875
transcript.pyannote[438].end 4176.77909375
transcript.pyannote[439].speaker SPEAKER_03
transcript.pyannote[439].start 4184.47409375
transcript.pyannote[439].end 4185.06471875
transcript.pyannote[440].speaker SPEAKER_04
transcript.pyannote[440].start 4190.07659375
transcript.pyannote[440].end 4196.72534375
transcript.pyannote[441].speaker SPEAKER_10
transcript.pyannote[441].start 4193.90721875
transcript.pyannote[441].end 4194.51471875
transcript.pyannote[442].speaker SPEAKER_10
transcript.pyannote[442].start 4196.25284375
transcript.pyannote[442].end 4196.82659375
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 4196.82659375
transcript.pyannote[443].end 4196.84346875
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 4196.84346875
transcript.pyannote[444].end 4197.45096875
transcript.pyannote[445].speaker SPEAKER_04
transcript.pyannote[445].start 4197.45096875
transcript.pyannote[445].end 4197.67034375
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 4197.67034375
transcript.pyannote[446].end 4197.78846875
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 4197.78846875
transcript.pyannote[447].end 4197.88971875
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 4197.88971875
transcript.pyannote[448].end 4197.95721875
transcript.pyannote[449].speaker SPEAKER_04
transcript.pyannote[449].start 4197.95721875
transcript.pyannote[449].end 4197.97409375
transcript.pyannote[450].speaker SPEAKER_10
transcript.pyannote[450].start 4197.97409375
transcript.pyannote[450].end 4198.04159375
transcript.pyannote[451].speaker SPEAKER_04
transcript.pyannote[451].start 4198.04159375
transcript.pyannote[451].end 4216.04721875
transcript.pyannote[452].speaker SPEAKER_01
transcript.pyannote[452].start 4213.02659375
transcript.pyannote[452].end 4213.14471875
transcript.pyannote[453].speaker SPEAKER_09
transcript.pyannote[453].start 4213.14471875
transcript.pyannote[453].end 4213.21221875
transcript.pyannote[454].speaker SPEAKER_01
transcript.pyannote[454].start 4213.21221875
transcript.pyannote[454].end 4213.27971875
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 4216.35096875
transcript.pyannote[455].end 4219.35471875
transcript.pyannote[456].speaker SPEAKER_04
transcript.pyannote[456].start 4220.21534375
transcript.pyannote[456].end 4242.77721875
transcript.pyannote[457].speaker SPEAKER_10
transcript.pyannote[457].start 4222.61159375
transcript.pyannote[457].end 4223.11784375
transcript.pyannote[458].speaker SPEAKER_10
transcript.pyannote[458].start 4225.02471875
transcript.pyannote[458].end 4227.28596875
transcript.pyannote[459].speaker SPEAKER_10
transcript.pyannote[459].start 4227.30284375
transcript.pyannote[459].end 4227.80909375
transcript.pyannote[460].speaker SPEAKER_10
transcript.pyannote[460].start 4240.73534375
transcript.pyannote[460].end 4242.72659375
transcript.pyannote[461].speaker SPEAKER_10
transcript.pyannote[461].start 4242.77721875
transcript.pyannote[461].end 4242.79409375
transcript.pyannote[462].speaker SPEAKER_04
transcript.pyannote[462].start 4242.79409375
transcript.pyannote[462].end 4242.84471875
transcript.pyannote[463].speaker SPEAKER_10
transcript.pyannote[463].start 4242.84471875
transcript.pyannote[463].end 4242.89534375
transcript.pyannote[464].speaker SPEAKER_04
transcript.pyannote[464].start 4242.89534375
transcript.pyannote[464].end 4242.94596875
transcript.pyannote[465].speaker SPEAKER_10
transcript.pyannote[465].start 4242.94596875
transcript.pyannote[465].end 4244.02596875
transcript.pyannote[466].speaker SPEAKER_04
transcript.pyannote[466].start 4244.02596875
transcript.pyannote[466].end 4244.17784375
transcript.pyannote[467].speaker SPEAKER_10
transcript.pyannote[467].start 4244.17784375
transcript.pyannote[467].end 4244.51534375
transcript.pyannote[468].speaker SPEAKER_04
transcript.pyannote[468].start 4244.51534375
transcript.pyannote[468].end 4244.97096875
transcript.pyannote[469].speaker SPEAKER_10
transcript.pyannote[469].start 4244.97096875
transcript.pyannote[469].end 4245.03846875
transcript.pyannote[470].speaker SPEAKER_04
transcript.pyannote[470].start 4245.03846875
transcript.pyannote[470].end 4245.54471875
transcript.pyannote[471].speaker SPEAKER_04
transcript.pyannote[471].start 4245.96659375
transcript.pyannote[471].end 4251.21471875
transcript.pyannote[472].speaker SPEAKER_04
transcript.pyannote[472].start 4251.38346875
transcript.pyannote[472].end 4267.66784375
transcript.pyannote[473].speaker SPEAKER_09
transcript.pyannote[473].start 4259.90534375
transcript.pyannote[473].end 4260.39471875
transcript.pyannote[474].speaker SPEAKER_17
transcript.pyannote[474].start 4260.39471875
transcript.pyannote[474].end 4260.63096875
transcript.pyannote[475].speaker SPEAKER_17
transcript.pyannote[475].start 4261.42409375
transcript.pyannote[475].end 4261.67721875
transcript.pyannote[476].speaker SPEAKER_09
transcript.pyannote[476].start 4261.67721875
transcript.pyannote[476].end 4261.76159375
transcript.pyannote[477].speaker SPEAKER_17
transcript.pyannote[477].start 4261.76159375
transcript.pyannote[477].end 4261.89659375
transcript.pyannote[478].speaker SPEAKER_17
transcript.pyannote[478].start 4262.35221875
transcript.pyannote[478].end 4262.41971875
transcript.pyannote[479].speaker SPEAKER_09
transcript.pyannote[479].start 4262.41971875
transcript.pyannote[479].end 4262.89221875
transcript.pyannote[480].speaker SPEAKER_17
transcript.pyannote[480].start 4262.89221875
transcript.pyannote[480].end 4262.92596875
transcript.pyannote[481].speaker SPEAKER_09
transcript.pyannote[481].start 4262.92596875
transcript.pyannote[481].end 4262.97659375
transcript.pyannote[482].speaker SPEAKER_09
transcript.pyannote[482].start 4263.48284375
transcript.pyannote[482].end 4264.09034375
transcript.pyannote[483].speaker SPEAKER_09
transcript.pyannote[483].start 4265.08596875
transcript.pyannote[483].end 4265.18721875
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 4265.18721875
transcript.pyannote[484].end 4267.58346875
transcript.pyannote[485].speaker SPEAKER_04
transcript.pyannote[485].start 4267.97159375
transcript.pyannote[485].end 4272.83159375
transcript.pyannote[486].speaker SPEAKER_10
transcript.pyannote[486].start 4268.03909375
transcript.pyannote[486].end 4268.05596875
transcript.pyannote[487].speaker SPEAKER_09
transcript.pyannote[487].start 4268.05596875
transcript.pyannote[487].end 4268.08971875
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 4268.08971875
transcript.pyannote[488].end 4268.93346875
transcript.pyannote[489].speaker SPEAKER_10
transcript.pyannote[489].start 4269.27096875
transcript.pyannote[489].end 4271.14409375
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 4273.32096875
transcript.pyannote[490].end 4275.16034375
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 4273.81034375
transcript.pyannote[491].end 4294.48221875
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 4275.41346875
transcript.pyannote[492].end 4276.98284375
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 4277.18534375
transcript.pyannote[493].end 4277.60721875
transcript.pyannote[494].speaker SPEAKER_10
transcript.pyannote[494].start 4281.38721875
transcript.pyannote[494].end 4281.82596875
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 4294.95471875
transcript.pyannote[495].end 4306.19346875
transcript.pyannote[496].speaker SPEAKER_09
transcript.pyannote[496].start 4295.62971875
transcript.pyannote[496].end 4295.71409375
transcript.pyannote[497].speaker SPEAKER_10
transcript.pyannote[497].start 4299.22409375
transcript.pyannote[497].end 4299.93284375
transcript.pyannote[498].speaker SPEAKER_10
transcript.pyannote[498].start 4300.10159375
transcript.pyannote[498].end 4302.02534375
transcript.pyannote[499].speaker SPEAKER_10
transcript.pyannote[499].start 4305.01221875
transcript.pyannote[499].end 4305.68721875
transcript.pyannote[500].speaker SPEAKER_10
transcript.pyannote[500].start 4305.70409375
transcript.pyannote[500].end 4305.72096875
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 4305.82221875
transcript.pyannote[501].end 4306.17659375
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 4306.19346875
transcript.pyannote[502].end 4312.04909375
transcript.pyannote[503].speaker SPEAKER_04
transcript.pyannote[503].start 4312.53846875
transcript.pyannote[503].end 4323.40596875
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 4324.41846875
transcript.pyannote[504].end 4329.95346875
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 4330.17284375
transcript.pyannote[505].end 4339.74096875
transcript.pyannote[506].speaker SPEAKER_10
transcript.pyannote[506].start 4331.10096875
transcript.pyannote[506].end 4331.40471875
transcript.pyannote[507].speaker SPEAKER_10
transcript.pyannote[507].start 4331.92784375
transcript.pyannote[507].end 4333.34534375
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 4334.56034375
transcript.pyannote[508].end 4335.91034375
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 4340.97284375
transcript.pyannote[509].end 4347.11534375
transcript.pyannote[510].speaker SPEAKER_10
transcript.pyannote[510].start 4341.68159375
transcript.pyannote[510].end 4342.35659375
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 4347.06471875
transcript.pyannote[511].end 4347.08159375
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 4347.11534375
transcript.pyannote[512].end 4347.25034375
transcript.pyannote[513].speaker SPEAKER_04
transcript.pyannote[513].start 4347.25034375
transcript.pyannote[513].end 4347.26721875
transcript.pyannote[514].speaker SPEAKER_10
transcript.pyannote[514].start 4347.26721875
transcript.pyannote[514].end 4350.06846875
transcript.pyannote[515].speaker SPEAKER_10
transcript.pyannote[515].start 4350.30471875
transcript.pyannote[515].end 4356.04221875
transcript.pyannote[516].speaker SPEAKER_10
transcript.pyannote[516].start 4356.12659375
transcript.pyannote[516].end 4358.35409375
transcript.pyannote[517].speaker SPEAKER_04
transcript.pyannote[517].start 4357.03784375
transcript.pyannote[517].end 4357.54409375
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 4358.35409375
transcript.pyannote[518].end 4358.40471875
transcript.pyannote[519].speaker SPEAKER_04
transcript.pyannote[519].start 4358.92784375
transcript.pyannote[519].end 4387.22721875
transcript.pyannote[520].speaker SPEAKER_10
transcript.pyannote[520].start 4387.10909375
transcript.pyannote[520].end 4392.52596875
transcript.pyannote[521].speaker SPEAKER_04
transcript.pyannote[521].start 4387.31159375
transcript.pyannote[521].end 4389.94409375
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 4392.52596875
transcript.pyannote[522].end 4392.62721875
transcript.pyannote[523].speaker SPEAKER_04
transcript.pyannote[523].start 4392.64409375
transcript.pyannote[523].end 4404.35534375
transcript.pyannote[524].speaker SPEAKER_10
transcript.pyannote[524].start 4403.19096875
transcript.pyannote[524].end 4405.78971875
transcript.pyannote[525].speaker SPEAKER_04
transcript.pyannote[525].start 4405.78971875
transcript.pyannote[525].end 4405.80659375
transcript.pyannote[526].speaker SPEAKER_04
transcript.pyannote[526].start 4405.84034375
transcript.pyannote[526].end 4434.03846875
transcript.pyannote[527].speaker SPEAKER_10
transcript.pyannote[527].start 4407.19034375
transcript.pyannote[527].end 4408.82721875
transcript.pyannote[528].speaker SPEAKER_10
transcript.pyannote[528].start 4425.70221875
transcript.pyannote[528].end 4426.10721875
transcript.pyannote[529].speaker SPEAKER_00
transcript.pyannote[529].start 4427.42346875
transcript.pyannote[529].end 4427.44034375
transcript.pyannote[530].speaker SPEAKER_10
transcript.pyannote[530].start 4427.44034375
transcript.pyannote[530].end 4427.67659375
transcript.pyannote[531].speaker SPEAKER_09
transcript.pyannote[531].start 4427.67659375
transcript.pyannote[531].end 4427.72721875
transcript.pyannote[532].speaker SPEAKER_10
transcript.pyannote[532].start 4427.72721875
transcript.pyannote[532].end 4427.77784375
transcript.pyannote[533].speaker SPEAKER_09
transcript.pyannote[533].start 4427.77784375
transcript.pyannote[533].end 4427.87909375
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 4427.87909375
transcript.pyannote[534].end 4427.94659375
transcript.pyannote[535].speaker SPEAKER_09
transcript.pyannote[535].start 4427.94659375
transcript.pyannote[535].end 4427.96346875
transcript.pyannote[536].speaker SPEAKER_10
transcript.pyannote[536].start 4427.96346875
transcript.pyannote[536].end 4428.09846875
transcript.pyannote[537].speaker SPEAKER_00
transcript.pyannote[537].start 4428.09846875
transcript.pyannote[537].end 4428.25034375
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 4429.07721875
transcript.pyannote[538].end 4434.15659375
transcript.pyannote[539].speaker SPEAKER_04
transcript.pyannote[539].start 4434.15659375
transcript.pyannote[539].end 4435.13534375
transcript.pyannote[540].speaker SPEAKER_10
transcript.pyannote[540].start 4434.20721875
transcript.pyannote[540].end 4435.20284375
transcript.pyannote[541].speaker SPEAKER_10
transcript.pyannote[541].start 4436.04659375
transcript.pyannote[541].end 4438.17284375
transcript.pyannote[542].speaker SPEAKER_04
transcript.pyannote[542].start 4438.17284375
transcript.pyannote[542].end 4438.34159375
transcript.pyannote[543].speaker SPEAKER_10
transcript.pyannote[543].start 4438.34159375
transcript.pyannote[543].end 4438.39221875
transcript.pyannote[544].speaker SPEAKER_04
transcript.pyannote[544].start 4438.39221875
transcript.pyannote[544].end 4438.42596875
transcript.pyannote[545].speaker SPEAKER_10
transcript.pyannote[545].start 4438.42596875
transcript.pyannote[545].end 4438.49346875
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 4438.49346875
transcript.pyannote[546].end 4438.51034375
transcript.pyannote[547].speaker SPEAKER_10
transcript.pyannote[547].start 4439.08409375
transcript.pyannote[547].end 4441.71659375
transcript.pyannote[548].speaker SPEAKER_04
transcript.pyannote[548].start 4441.71659375
transcript.pyannote[548].end 4443.11721875
transcript.pyannote[549].speaker SPEAKER_04
transcript.pyannote[549].start 4444.07909375
transcript.pyannote[549].end 4449.46221875
transcript.pyannote[550].speaker SPEAKER_04
transcript.pyannote[550].start 4449.85034375
transcript.pyannote[550].end 4476.15846875
transcript.pyannote[551].speaker SPEAKER_10
transcript.pyannote[551].start 4472.10846875
transcript.pyannote[551].end 4472.71596875
transcript.pyannote[552].speaker SPEAKER_10
transcript.pyannote[552].start 4474.23471875
transcript.pyannote[552].end 4476.17534375
transcript.pyannote[553].speaker SPEAKER_04
transcript.pyannote[553].start 4476.17534375
transcript.pyannote[553].end 4476.27659375
transcript.pyannote[554].speaker SPEAKER_10
transcript.pyannote[554].start 4476.27659375
transcript.pyannote[554].end 4476.32721875
transcript.pyannote[555].speaker SPEAKER_04
transcript.pyannote[555].start 4476.32721875
transcript.pyannote[555].end 4476.64784375
transcript.pyannote[556].speaker SPEAKER_10
transcript.pyannote[556].start 4476.64784375
transcript.pyannote[556].end 4476.86721875
transcript.pyannote[557].speaker SPEAKER_04
transcript.pyannote[557].start 4476.86721875
transcript.pyannote[557].end 4476.88409375
transcript.pyannote[558].speaker SPEAKER_10
transcript.pyannote[558].start 4476.88409375
transcript.pyannote[558].end 4481.03534375
transcript.pyannote[559].speaker SPEAKER_10
transcript.pyannote[559].start 4481.33909375
transcript.pyannote[559].end 4483.70159375
transcript.pyannote[560].speaker SPEAKER_10
transcript.pyannote[560].start 4484.47784375
transcript.pyannote[560].end 4490.78909375
transcript.pyannote[561].speaker SPEAKER_04
transcript.pyannote[561].start 4490.78909375
transcript.pyannote[561].end 4491.10971875
transcript.pyannote[562].speaker SPEAKER_10
transcript.pyannote[562].start 4491.10971875
transcript.pyannote[562].end 4493.57346875
transcript.pyannote[563].speaker SPEAKER_04
transcript.pyannote[563].start 4491.12659375
transcript.pyannote[563].end 4491.16034375
transcript.pyannote[564].speaker SPEAKER_04
transcript.pyannote[564].start 4494.14721875
transcript.pyannote[564].end 4497.53909375
transcript.pyannote[565].speaker SPEAKER_10
transcript.pyannote[565].start 4496.81346875
transcript.pyannote[565].end 4497.25221875
transcript.pyannote[566].speaker SPEAKER_10
transcript.pyannote[566].start 4497.53909375
transcript.pyannote[566].end 4497.57284375
transcript.pyannote[567].speaker SPEAKER_04
transcript.pyannote[567].start 4497.57284375
transcript.pyannote[567].end 4497.69096875
transcript.pyannote[568].speaker SPEAKER_04
transcript.pyannote[568].start 4497.92721875
transcript.pyannote[568].end 4521.77159375
transcript.pyannote[569].speaker SPEAKER_10
transcript.pyannote[569].start 4516.45596875
transcript.pyannote[569].end 4518.26159375
transcript.pyannote[570].speaker SPEAKER_10
transcript.pyannote[570].start 4519.57784375
transcript.pyannote[570].end 4521.65346875
transcript.pyannote[571].speaker SPEAKER_10
transcript.pyannote[571].start 4522.07534375
transcript.pyannote[571].end 4522.17659375
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 4522.17659375
transcript.pyannote[572].end 4550.77971875
transcript.pyannote[573].speaker SPEAKER_10
transcript.pyannote[573].start 4543.30409375
transcript.pyannote[573].end 4544.82284375
transcript.pyannote[574].speaker SPEAKER_10
transcript.pyannote[574].start 4546.51034375
transcript.pyannote[574].end 4546.96596875
transcript.pyannote[575].speaker SPEAKER_09
transcript.pyannote[575].start 4550.56034375
transcript.pyannote[575].end 4550.66159375
transcript.pyannote[576].speaker SPEAKER_10
transcript.pyannote[576].start 4550.77971875
transcript.pyannote[576].end 4550.86409375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 4550.86409375
transcript.pyannote[577].end 4558.71096875
transcript.pyannote[578].speaker SPEAKER_10
transcript.pyannote[578].start 4550.93159375
transcript.pyannote[578].end 4551.03284375
transcript.pyannote[579].speaker SPEAKER_09
transcript.pyannote[579].start 4551.03284375
transcript.pyannote[579].end 4551.94409375
transcript.pyannote[580].speaker SPEAKER_10
transcript.pyannote[580].start 4551.94409375
transcript.pyannote[580].end 4551.97784375
transcript.pyannote[581].speaker SPEAKER_09
transcript.pyannote[581].start 4551.97784375
transcript.pyannote[581].end 4552.29846875
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 4559.80784375
transcript.pyannote[582].end 4568.34659375
transcript.pyannote[583].speaker SPEAKER_10
transcript.pyannote[583].start 4564.39784375
transcript.pyannote[583].end 4565.98409375
transcript.pyannote[584].speaker SPEAKER_10
transcript.pyannote[584].start 4567.03034375
transcript.pyannote[584].end 4570.48971875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 4570.48971875
transcript.pyannote[585].end 4577.03721875
transcript.pyannote[586].speaker SPEAKER_10
transcript.pyannote[586].start 4573.99971875
transcript.pyannote[586].end 4574.01659375
transcript.pyannote[587].speaker SPEAKER_09
transcript.pyannote[587].start 4574.01659375
transcript.pyannote[587].end 4574.64096875
transcript.pyannote[588].speaker SPEAKER_10
transcript.pyannote[588].start 4574.64096875
transcript.pyannote[588].end 4575.40034375
transcript.pyannote[589].speaker SPEAKER_09
transcript.pyannote[589].start 4575.40034375
transcript.pyannote[589].end 4577.84721875
transcript.pyannote[590].speaker SPEAKER_10
transcript.pyannote[590].start 4577.03721875
transcript.pyannote[590].end 4577.54346875
transcript.pyannote[591].speaker SPEAKER_10
transcript.pyannote[591].start 4577.71221875
transcript.pyannote[591].end 4578.37034375
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 4577.84721875
transcript.pyannote[592].end 4577.88096875
transcript.pyannote[593].speaker SPEAKER_10
transcript.pyannote[593].start 4578.70784375
transcript.pyannote[593].end 4582.63971875
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 4582.82534375
transcript.pyannote[594].end 4586.21721875
transcript.pyannote[595].speaker SPEAKER_09
transcript.pyannote[595].start 4583.21346875
transcript.pyannote[595].end 4583.87159375
transcript.pyannote[596].speaker SPEAKER_09
transcript.pyannote[596].start 4586.21721875
transcript.pyannote[596].end 4586.53784375
transcript.pyannote[597].speaker SPEAKER_10
transcript.pyannote[597].start 4586.53784375
transcript.pyannote[597].end 4589.11971875
transcript.pyannote[598].speaker SPEAKER_09
transcript.pyannote[598].start 4586.62221875
transcript.pyannote[598].end 4588.84971875
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 4588.84971875
transcript.pyannote[599].end 4588.90034375
transcript.pyannote[600].speaker SPEAKER_10
transcript.pyannote[600].start 4589.98034375
transcript.pyannote[600].end 4595.85284375
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 4592.46096875
transcript.pyannote[601].end 4598.08034375
transcript.pyannote[602].speaker SPEAKER_10
transcript.pyannote[602].start 4596.67971875
transcript.pyannote[602].end 4608.10409375
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 4608.23909375
transcript.pyannote[603].end 4617.68909375
transcript.pyannote[604].speaker SPEAKER_04
transcript.pyannote[604].start 4617.95909375
transcript.pyannote[604].end 4622.95409375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 4623.67971875
transcript.pyannote[605].end 4624.45596875
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 4625.11409375
transcript.pyannote[606].end 4625.13096875
transcript.pyannote[607].speaker SPEAKER_10
transcript.pyannote[607].start 4625.13096875
transcript.pyannote[607].end 4625.18159375
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 4625.18159375
transcript.pyannote[608].end 4625.40096875
transcript.pyannote[609].speaker SPEAKER_10
transcript.pyannote[609].start 4625.40096875
transcript.pyannote[609].end 4626.44721875
transcript.pyannote[610].speaker SPEAKER_10
transcript.pyannote[610].start 4628.38784375
transcript.pyannote[610].end 4639.03596875
transcript.pyannote[611].speaker SPEAKER_04
transcript.pyannote[611].start 4639.03596875
transcript.pyannote[611].end 4642.98471875
transcript.pyannote[612].speaker SPEAKER_10
transcript.pyannote[612].start 4643.54159375
transcript.pyannote[612].end 4644.23346875
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 4645.06034375
transcript.pyannote[613].end 4645.97159375
transcript.pyannote[614].speaker SPEAKER_19
transcript.pyannote[614].start 4645.97159375
transcript.pyannote[614].end 4647.33846875
transcript.pyannote[615].speaker SPEAKER_19
transcript.pyannote[615].start 4648.60409375
transcript.pyannote[615].end 4650.64596875
transcript.pyannote[616].speaker SPEAKER_12
transcript.pyannote[616].start 4658.61096875
transcript.pyannote[616].end 4660.60221875
transcript.pyannote[617].speaker SPEAKER_19
transcript.pyannote[617].start 4660.70346875
transcript.pyannote[617].end 4662.05346875
transcript.pyannote[618].speaker SPEAKER_12
transcript.pyannote[618].start 4666.86284375
transcript.pyannote[618].end 4667.57159375
transcript.pyannote[619].speaker SPEAKER_12
transcript.pyannote[619].start 4667.77409375
transcript.pyannote[619].end 4699.80284375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 4668.66846875
transcript.pyannote[620].end 4669.05659375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 4675.24971875
transcript.pyannote[621].end 4675.26659375
transcript.pyannote[622].speaker SPEAKER_11
transcript.pyannote[622].start 4675.26659375
transcript.pyannote[622].end 4675.63784375
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 4675.63784375
transcript.pyannote[623].end 4675.70534375
transcript.pyannote[624].speaker SPEAKER_11
transcript.pyannote[624].start 4675.70534375
transcript.pyannote[624].end 4675.72221875
transcript.pyannote[625].speaker SPEAKER_00
transcript.pyannote[625].start 4686.84284375
transcript.pyannote[625].end 4686.94409375
transcript.pyannote[626].speaker SPEAKER_09
transcript.pyannote[626].start 4686.94409375
transcript.pyannote[626].end 4686.97784375
transcript.pyannote[627].speaker SPEAKER_00
transcript.pyannote[627].start 4686.97784375
transcript.pyannote[627].end 4687.14659375
transcript.pyannote[628].speaker SPEAKER_00
transcript.pyannote[628].start 4688.61471875
transcript.pyannote[628].end 4688.73284375
transcript.pyannote[629].speaker SPEAKER_09
transcript.pyannote[629].start 4688.73284375
transcript.pyannote[629].end 4688.81721875
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 4688.81721875
transcript.pyannote[630].end 4688.86784375
transcript.pyannote[631].speaker SPEAKER_11
transcript.pyannote[631].start 4699.65096875
transcript.pyannote[631].end 4700.02221875
transcript.pyannote[632].speaker SPEAKER_12
transcript.pyannote[632].start 4699.90409375
transcript.pyannote[632].end 4703.27909375
transcript.pyannote[633].speaker SPEAKER_11
transcript.pyannote[633].start 4703.24534375
transcript.pyannote[633].end 4703.68409375
transcript.pyannote[634].speaker SPEAKER_12
transcript.pyannote[634].start 4703.51534375
transcript.pyannote[634].end 4721.40284375
transcript.pyannote[635].speaker SPEAKER_09
transcript.pyannote[635].start 4721.40284375
transcript.pyannote[635].end 4721.68971875
transcript.pyannote[636].speaker SPEAKER_12
transcript.pyannote[636].start 4721.68971875
transcript.pyannote[636].end 4736.50596875
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 4737.65346875
transcript.pyannote[637].end 4743.55971875
transcript.pyannote[638].speaker SPEAKER_12
transcript.pyannote[638].start 4742.88471875
transcript.pyannote[638].end 4744.52159375
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 4744.09971875
transcript.pyannote[639].end 4752.13221875
transcript.pyannote[640].speaker SPEAKER_12
transcript.pyannote[640].start 4746.10784375
transcript.pyannote[640].end 4746.32721875
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 4752.41909375
transcript.pyannote[641].end 4755.25409375
transcript.pyannote[642].speaker SPEAKER_12
transcript.pyannote[642].start 4752.94221875
transcript.pyannote[642].end 4752.95909375
transcript.pyannote[643].speaker SPEAKER_12
transcript.pyannote[643].start 4753.93784375
transcript.pyannote[643].end 4754.20784375
transcript.pyannote[644].speaker SPEAKER_12
transcript.pyannote[644].start 4754.49471875
transcript.pyannote[644].end 4757.46471875
transcript.pyannote[645].speaker SPEAKER_04
transcript.pyannote[645].start 4756.84034375
transcript.pyannote[645].end 4760.01284375
transcript.pyannote[646].speaker SPEAKER_12
transcript.pyannote[646].start 4759.97909375
transcript.pyannote[646].end 4789.00409375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 4760.48534375
transcript.pyannote[647].end 4761.27846875
transcript.pyannote[648].speaker SPEAKER_09
transcript.pyannote[648].start 4778.06909375
transcript.pyannote[648].end 4778.10284375
transcript.pyannote[649].speaker SPEAKER_09
transcript.pyannote[649].start 4778.33909375
transcript.pyannote[649].end 4778.45721875
transcript.pyannote[650].speaker SPEAKER_12
transcript.pyannote[650].start 4789.89846875
transcript.pyannote[650].end 4809.13596875
transcript.pyannote[651].speaker SPEAKER_04
transcript.pyannote[651].start 4807.29659375
transcript.pyannote[651].end 4807.66784375
transcript.pyannote[652].speaker SPEAKER_04
transcript.pyannote[652].start 4808.14034375
transcript.pyannote[652].end 4826.73659375
transcript.pyannote[653].speaker SPEAKER_12
transcript.pyannote[653].start 4825.31909375
transcript.pyannote[653].end 4829.03159375
transcript.pyannote[654].speaker SPEAKER_12
transcript.pyannote[654].start 4829.77409375
transcript.pyannote[654].end 4829.79096875
transcript.pyannote[655].speaker SPEAKER_04
transcript.pyannote[655].start 4829.79096875
transcript.pyannote[655].end 4829.80784375
transcript.pyannote[656].speaker SPEAKER_12
transcript.pyannote[656].start 4829.80784375
transcript.pyannote[656].end 4830.36471875
transcript.pyannote[657].speaker SPEAKER_04
transcript.pyannote[657].start 4830.61784375
transcript.pyannote[657].end 4831.36034375
transcript.pyannote[658].speaker SPEAKER_04
transcript.pyannote[658].start 4831.90034375
transcript.pyannote[658].end 4840.40534375
transcript.pyannote[659].speaker SPEAKER_18
transcript.pyannote[659].start 4836.57471875
transcript.pyannote[659].end 4836.70971875
transcript.pyannote[660].speaker SPEAKER_12
transcript.pyannote[660].start 4836.70971875
transcript.pyannote[660].end 4837.80659375
transcript.pyannote[661].speaker SPEAKER_04
transcript.pyannote[661].start 4841.33346875
transcript.pyannote[661].end 4848.69096875
transcript.pyannote[662].speaker SPEAKER_12
transcript.pyannote[662].start 4847.66159375
transcript.pyannote[662].end 4854.85034375
transcript.pyannote[663].speaker SPEAKER_04
transcript.pyannote[663].start 4849.65284375
transcript.pyannote[663].end 4853.23034375
transcript.pyannote[664].speaker SPEAKER_12
transcript.pyannote[664].start 4854.86721875
transcript.pyannote[664].end 4854.91784375
transcript.pyannote[665].speaker SPEAKER_04
transcript.pyannote[665].start 4854.93471875
transcript.pyannote[665].end 4859.25471875
transcript.pyannote[666].speaker SPEAKER_04
transcript.pyannote[666].start 4859.44034375
transcript.pyannote[666].end 4860.55409375
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 4860.73971875
transcript.pyannote[667].end 4866.08909375
transcript.pyannote[668].speaker SPEAKER_09
transcript.pyannote[668].start 4866.08909375
transcript.pyannote[668].end 4866.46034375
transcript.pyannote[669].speaker SPEAKER_04
transcript.pyannote[669].start 4866.46034375
transcript.pyannote[669].end 4874.56034375
transcript.pyannote[670].speaker SPEAKER_09
transcript.pyannote[670].start 4870.25721875
transcript.pyannote[670].end 4872.68721875
transcript.pyannote[671].speaker SPEAKER_04
transcript.pyannote[671].start 4875.52221875
transcript.pyannote[671].end 4878.59346875
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 4878.89721875
transcript.pyannote[672].end 4879.06596875
transcript.pyannote[673].speaker SPEAKER_12
transcript.pyannote[673].start 4879.06596875
transcript.pyannote[673].end 4879.13346875
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 4879.13346875
transcript.pyannote[674].end 4880.01096875
transcript.pyannote[675].speaker SPEAKER_12
transcript.pyannote[675].start 4879.30221875
transcript.pyannote[675].end 4880.16284375
transcript.pyannote[676].speaker SPEAKER_04
transcript.pyannote[676].start 4880.16284375
transcript.pyannote[676].end 4884.82034375
transcript.pyannote[677].speaker SPEAKER_04
transcript.pyannote[677].start 4884.97221875
transcript.pyannote[677].end 4898.70846875
transcript.pyannote[678].speaker SPEAKER_12
transcript.pyannote[678].start 4887.75659375
transcript.pyannote[678].end 4888.04346875
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 4894.16909375
transcript.pyannote[679].end 4894.18596875
transcript.pyannote[680].speaker SPEAKER_03
transcript.pyannote[680].start 4894.18596875
transcript.pyannote[680].end 4894.43909375
transcript.pyannote[681].speaker SPEAKER_01
transcript.pyannote[681].start 4894.43909375
transcript.pyannote[681].end 4894.50659375
transcript.pyannote[682].speaker SPEAKER_03
transcript.pyannote[682].start 4897.54409375
transcript.pyannote[682].end 4897.64534375
transcript.pyannote[683].speaker SPEAKER_03
transcript.pyannote[683].start 4898.70846875
transcript.pyannote[683].end 4899.34971875
transcript.pyannote[684].speaker SPEAKER_04
transcript.pyannote[684].start 4899.34971875
transcript.pyannote[684].end 4911.98909375
transcript.pyannote[685].speaker SPEAKER_03
transcript.pyannote[685].start 4899.36659375
transcript.pyannote[685].end 4899.92346875
transcript.pyannote[686].speaker SPEAKER_03
transcript.pyannote[686].start 4900.36221875
transcript.pyannote[686].end 4902.50534375
transcript.pyannote[687].speaker SPEAKER_03
transcript.pyannote[687].start 4902.53909375
transcript.pyannote[687].end 4903.28159375
transcript.pyannote[688].speaker SPEAKER_11
transcript.pyannote[688].start 4904.36159375
transcript.pyannote[688].end 4904.61471875
transcript.pyannote[689].speaker SPEAKER_03
transcript.pyannote[689].start 4904.61471875
transcript.pyannote[689].end 4904.66534375
transcript.pyannote[690].speaker SPEAKER_12
transcript.pyannote[690].start 4907.24721875
transcript.pyannote[690].end 4909.23846875
transcript.pyannote[691].speaker SPEAKER_12
transcript.pyannote[691].start 4911.98909375
transcript.pyannote[691].end 4948.15221875
transcript.pyannote[692].speaker SPEAKER_11
transcript.pyannote[692].start 4922.28284375
transcript.pyannote[692].end 4922.60346875
transcript.pyannote[693].speaker SPEAKER_16
transcript.pyannote[693].start 4936.18784375
transcript.pyannote[693].end 4936.27221875
transcript.pyannote[694].speaker SPEAKER_16
transcript.pyannote[694].start 4936.32284375
transcript.pyannote[694].end 4936.77846875
transcript.pyannote[695].speaker SPEAKER_16
transcript.pyannote[695].start 4939.22534375
transcript.pyannote[695].end 4939.24221875
transcript.pyannote[696].speaker SPEAKER_11
transcript.pyannote[696].start 4939.24221875
transcript.pyannote[696].end 4939.98471875
transcript.pyannote[697].speaker SPEAKER_11
transcript.pyannote[697].start 4947.98346875
transcript.pyannote[697].end 4948.06784375
transcript.pyannote[698].speaker SPEAKER_11
transcript.pyannote[698].start 4948.15221875
transcript.pyannote[698].end 4948.20284375
transcript.pyannote[699].speaker SPEAKER_12
transcript.pyannote[699].start 4948.20284375
transcript.pyannote[699].end 4978.86471875
transcript.pyannote[700].speaker SPEAKER_09
transcript.pyannote[700].start 4959.64409375
transcript.pyannote[700].end 4959.91409375
transcript.pyannote[701].speaker SPEAKER_11
transcript.pyannote[701].start 4959.91409375
transcript.pyannote[701].end 4959.96471875
transcript.pyannote[702].speaker SPEAKER_00
transcript.pyannote[702].start 4969.46534375
transcript.pyannote[702].end 4969.51596875
transcript.pyannote[703].speaker SPEAKER_03
transcript.pyannote[703].start 4969.51596875
transcript.pyannote[703].end 4969.87034375
transcript.pyannote[704].speaker SPEAKER_00
transcript.pyannote[704].start 4969.87034375
transcript.pyannote[704].end 4969.90409375
transcript.pyannote[705].speaker SPEAKER_09
transcript.pyannote[705].start 4979.03346875
transcript.pyannote[705].end 4979.10096875
transcript.pyannote[706].speaker SPEAKER_11
transcript.pyannote[706].start 4979.10096875
transcript.pyannote[706].end 4979.40471875
transcript.pyannote[707].speaker SPEAKER_09
transcript.pyannote[707].start 4979.40471875
transcript.pyannote[707].end 4979.48909375
transcript.pyannote[708].speaker SPEAKER_12
transcript.pyannote[708].start 4979.43846875
transcript.pyannote[708].end 4981.66596875
transcript.pyannote[709].speaker SPEAKER_11
transcript.pyannote[709].start 4979.48909375
transcript.pyannote[709].end 4979.53971875
transcript.pyannote[710].speaker SPEAKER_11
transcript.pyannote[710].start 4981.63221875
transcript.pyannote[710].end 4982.15534375
transcript.pyannote[711].speaker SPEAKER_12
transcript.pyannote[711].start 4982.15534375
transcript.pyannote[711].end 4985.10846875
transcript.pyannote[712].speaker SPEAKER_11
transcript.pyannote[712].start 4985.15909375
transcript.pyannote[712].end 4985.24346875
transcript.pyannote[713].speaker SPEAKER_15
transcript.pyannote[713].start 4985.24346875
transcript.pyannote[713].end 4985.54721875
transcript.pyannote[714].speaker SPEAKER_11
transcript.pyannote[714].start 4985.54721875
transcript.pyannote[714].end 4985.56409375
transcript.pyannote[715].speaker SPEAKER_15
transcript.pyannote[715].start 4985.56409375
transcript.pyannote[715].end 4985.59784375
transcript.pyannote[716].speaker SPEAKER_12
transcript.pyannote[716].start 4985.73284375
transcript.pyannote[716].end 4995.85784375
transcript.pyannote[717].speaker SPEAKER_12
transcript.pyannote[717].start 4996.31346875
transcript.pyannote[717].end 5002.06784375
transcript.pyannote[718].speaker SPEAKER_11
transcript.pyannote[718].start 5001.94971875
transcript.pyannote[718].end 5002.43909375
transcript.pyannote[719].speaker SPEAKER_12
transcript.pyannote[719].start 5002.40534375
transcript.pyannote[719].end 5053.26659375
transcript.pyannote[720].speaker SPEAKER_03
transcript.pyannote[720].start 5053.26659375
transcript.pyannote[720].end 5053.55346875
transcript.pyannote[721].speaker SPEAKER_12
transcript.pyannote[721].start 5053.55346875
transcript.pyannote[721].end 5061.55221875
transcript.pyannote[722].speaker SPEAKER_03
transcript.pyannote[722].start 5053.62096875
transcript.pyannote[722].end 5054.12721875
transcript.pyannote[723].speaker SPEAKER_03
transcript.pyannote[723].start 5054.16096875
transcript.pyannote[723].end 5054.24534375
transcript.pyannote[724].speaker SPEAKER_03
transcript.pyannote[724].start 5054.27909375
transcript.pyannote[724].end 5054.61659375
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 5062.76721875
transcript.pyannote[725].end 5077.11096875
transcript.pyannote[726].speaker SPEAKER_12
transcript.pyannote[726].start 5077.11096875
transcript.pyannote[726].end 5084.06346875
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 5078.29221875
transcript.pyannote[727].end 5079.06846875
transcript.pyannote[728].speaker SPEAKER_04
transcript.pyannote[728].start 5079.67596875
transcript.pyannote[728].end 5080.31721875
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 5082.17346875
transcript.pyannote[729].end 5089.91909375
transcript.pyannote[730].speaker SPEAKER_12
transcript.pyannote[730].start 5085.16034375
transcript.pyannote[730].end 5087.26971875
transcript.pyannote[731].speaker SPEAKER_12
transcript.pyannote[731].start 5088.68721875
transcript.pyannote[731].end 5092.80471875
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 5092.80471875
transcript.pyannote[732].end 5098.10346875
transcript.pyannote[733].speaker SPEAKER_12
transcript.pyannote[733].start 5093.78346875
transcript.pyannote[733].end 5095.31909375
transcript.pyannote[734].speaker SPEAKER_12
transcript.pyannote[734].start 5096.58471875
transcript.pyannote[734].end 5098.05284375
transcript.pyannote[735].speaker SPEAKER_12
transcript.pyannote[735].start 5098.10346875
transcript.pyannote[735].end 5098.96409375
transcript.pyannote[736].speaker SPEAKER_04
transcript.pyannote[736].start 5098.96409375
transcript.pyannote[736].end 5105.69721875
transcript.pyannote[737].speaker SPEAKER_12
transcript.pyannote[737].start 5099.40284375
transcript.pyannote[737].end 5100.38159375
transcript.pyannote[738].speaker SPEAKER_12
transcript.pyannote[738].start 5100.83721875
transcript.pyannote[738].end 5103.16596875
transcript.pyannote[739].speaker SPEAKER_12
transcript.pyannote[739].start 5105.03909375
transcript.pyannote[739].end 5105.54534375
transcript.pyannote[740].speaker SPEAKER_12
transcript.pyannote[740].start 5105.69721875
transcript.pyannote[740].end 5106.03471875
transcript.pyannote[741].speaker SPEAKER_04
transcript.pyannote[741].start 5106.03471875
transcript.pyannote[741].end 5106.70971875
transcript.pyannote[742].speaker SPEAKER_12
transcript.pyannote[742].start 5106.70971875
transcript.pyannote[742].end 5106.94596875
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 5106.94596875
transcript.pyannote[743].end 5107.57034375
transcript.pyannote[744].speaker SPEAKER_12
transcript.pyannote[744].start 5107.63784375
transcript.pyannote[744].end 5113.17284375
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 5112.41346875
transcript.pyannote[745].end 5121.82971875
transcript.pyannote[746].speaker SPEAKER_12
transcript.pyannote[746].start 5121.82971875
transcript.pyannote[746].end 5139.83534375
transcript.pyannote[747].speaker SPEAKER_04
transcript.pyannote[747].start 5121.88034375
transcript.pyannote[747].end 5123.95596875
transcript.pyannote[748].speaker SPEAKER_04
transcript.pyannote[748].start 5124.17534375
transcript.pyannote[748].end 5126.11596875
transcript.pyannote[749].speaker SPEAKER_09
transcript.pyannote[749].start 5126.11596875
transcript.pyannote[749].end 5126.26784375
transcript.pyannote[750].speaker SPEAKER_04
transcript.pyannote[750].start 5126.26784375
transcript.pyannote[750].end 5126.57159375
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 5126.57159375
transcript.pyannote[751].end 5126.67284375
transcript.pyannote[752].speaker SPEAKER_09
transcript.pyannote[752].start 5126.97659375
transcript.pyannote[752].end 5127.01034375
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 5127.01034375
transcript.pyannote[753].end 5128.03971875
transcript.pyannote[754].speaker SPEAKER_04
transcript.pyannote[754].start 5128.86659375
transcript.pyannote[754].end 5129.64284375
transcript.pyannote[755].speaker SPEAKER_11
transcript.pyannote[755].start 5134.55346875
transcript.pyannote[755].end 5135.24534375
transcript.pyannote[756].speaker SPEAKER_11
transcript.pyannote[756].start 5139.31221875
transcript.pyannote[756].end 5139.71721875
transcript.pyannote[757].speaker SPEAKER_11
transcript.pyannote[757].start 5139.83534375
transcript.pyannote[757].end 5140.24034375
transcript.pyannote[758].speaker SPEAKER_12
transcript.pyannote[758].start 5140.24034375
transcript.pyannote[758].end 5141.60721875
transcript.pyannote[759].speaker SPEAKER_12
transcript.pyannote[759].start 5142.21471875
transcript.pyannote[759].end 5145.15096875
transcript.pyannote[760].speaker SPEAKER_12
transcript.pyannote[760].start 5145.74159375
transcript.pyannote[760].end 5146.41659375
transcript.pyannote[761].speaker SPEAKER_12
transcript.pyannote[761].start 5147.31096875
transcript.pyannote[761].end 5157.90846875
transcript.pyannote[762].speaker SPEAKER_04
transcript.pyannote[762].start 5157.03096875
transcript.pyannote[762].end 5168.50596875
transcript.pyannote[763].speaker SPEAKER_12
transcript.pyannote[763].start 5161.31721875
transcript.pyannote[763].end 5161.62096875
transcript.pyannote[764].speaker SPEAKER_12
transcript.pyannote[764].start 5163.79784375
transcript.pyannote[764].end 5164.00034375
transcript.pyannote[765].speaker SPEAKER_12
transcript.pyannote[765].start 5166.95346875
transcript.pyannote[765].end 5187.40596875
transcript.pyannote[766].speaker SPEAKER_00
transcript.pyannote[766].start 5173.83846875
transcript.pyannote[766].end 5173.87221875
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 5173.87221875
transcript.pyannote[767].end 5173.93971875
transcript.pyannote[768].speaker SPEAKER_13
transcript.pyannote[768].start 5173.93971875
transcript.pyannote[768].end 5174.47971875
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 5177.98971875
transcript.pyannote[769].end 5178.96846875
transcript.pyannote[770].speaker SPEAKER_13
transcript.pyannote[770].start 5178.96846875
transcript.pyannote[770].end 5180.67284375
transcript.pyannote[771].speaker SPEAKER_09
transcript.pyannote[771].start 5181.19596875
transcript.pyannote[771].end 5181.44909375
transcript.pyannote[772].speaker SPEAKER_04
transcript.pyannote[772].start 5182.09034375
transcript.pyannote[772].end 5182.57971875
transcript.pyannote[773].speaker SPEAKER_09
transcript.pyannote[773].start 5182.57971875
transcript.pyannote[773].end 5182.66409375
transcript.pyannote[774].speaker SPEAKER_04
transcript.pyannote[774].start 5187.40596875
transcript.pyannote[774].end 5191.23659375
transcript.pyannote[775].speaker SPEAKER_12
transcript.pyannote[775].start 5189.81909375
transcript.pyannote[775].end 5244.00471875
transcript.pyannote[776].speaker SPEAKER_04
transcript.pyannote[776].start 5192.56971875
transcript.pyannote[776].end 5193.93659375
transcript.pyannote[777].speaker SPEAKER_04
transcript.pyannote[777].start 5198.59409375
transcript.pyannote[777].end 5198.96534375
transcript.pyannote[778].speaker SPEAKER_09
transcript.pyannote[778].start 5198.96534375
transcript.pyannote[778].end 5199.25221875
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 5199.25221875
transcript.pyannote[779].end 5201.29409375
transcript.pyannote[780].speaker SPEAKER_15
transcript.pyannote[780].start 5205.63096875
transcript.pyannote[780].end 5206.06971875
transcript.pyannote[781].speaker SPEAKER_18
transcript.pyannote[781].start 5206.06971875
transcript.pyannote[781].end 5207.40284375
transcript.pyannote[782].speaker SPEAKER_11
transcript.pyannote[782].start 5219.48534375
transcript.pyannote[782].end 5219.92409375
transcript.pyannote[783].speaker SPEAKER_12
transcript.pyannote[783].start 5244.37596875
transcript.pyannote[783].end 5244.39284375
transcript.pyannote[784].speaker SPEAKER_04
transcript.pyannote[784].start 5244.39284375
transcript.pyannote[784].end 5245.18596875
transcript.pyannote[785].speaker SPEAKER_12
transcript.pyannote[785].start 5245.18596875
transcript.pyannote[785].end 5258.43284375
transcript.pyannote[786].speaker SPEAKER_04
transcript.pyannote[786].start 5247.98721875
transcript.pyannote[786].end 5248.17284375
transcript.pyannote[787].speaker SPEAKER_04
transcript.pyannote[787].start 5253.13409375
transcript.pyannote[787].end 5253.26909375
transcript.pyannote[788].speaker SPEAKER_15
transcript.pyannote[788].start 5253.33659375
transcript.pyannote[788].end 5253.37034375
transcript.pyannote[789].speaker SPEAKER_04
transcript.pyannote[789].start 5257.74096875
transcript.pyannote[789].end 5266.17846875
transcript.pyannote[790].speaker SPEAKER_12
transcript.pyannote[790].start 5259.05721875
transcript.pyannote[790].end 5260.79534375
transcript.pyannote[791].speaker SPEAKER_12
transcript.pyannote[791].start 5262.46596875
transcript.pyannote[791].end 5262.56721875
transcript.pyannote[792].speaker SPEAKER_04
transcript.pyannote[792].start 5266.63409375
transcript.pyannote[792].end 5267.14034375
transcript.pyannote[793].speaker SPEAKER_04
transcript.pyannote[793].start 5267.61284375
transcript.pyannote[793].end 5268.45659375
transcript.pyannote[794].speaker SPEAKER_04
transcript.pyannote[794].start 5268.97971875
transcript.pyannote[794].end 5268.99659375
transcript.pyannote[795].speaker SPEAKER_12
transcript.pyannote[795].start 5268.99659375
transcript.pyannote[795].end 5269.01346875
transcript.pyannote[796].speaker SPEAKER_04
transcript.pyannote[796].start 5269.01346875
transcript.pyannote[796].end 5279.13846875
transcript.pyannote[797].speaker SPEAKER_12
transcript.pyannote[797].start 5270.12721875
transcript.pyannote[797].end 5270.44784375
transcript.pyannote[798].speaker SPEAKER_12
transcript.pyannote[798].start 5278.68284375
transcript.pyannote[798].end 5285.41596875
transcript.pyannote[799].speaker SPEAKER_04
transcript.pyannote[799].start 5280.33659375
transcript.pyannote[799].end 5281.88909375
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 5282.19284375
transcript.pyannote[800].end 5282.83409375
transcript.pyannote[801].speaker SPEAKER_12
transcript.pyannote[801].start 5285.46659375
transcript.pyannote[801].end 5285.51721875
transcript.pyannote[802].speaker SPEAKER_04
transcript.pyannote[802].start 5285.51721875
transcript.pyannote[802].end 5290.17471875
transcript.pyannote[803].speaker SPEAKER_12
transcript.pyannote[803].start 5289.97221875
transcript.pyannote[803].end 5295.45659375
transcript.pyannote[804].speaker SPEAKER_04
transcript.pyannote[804].start 5290.81596875
transcript.pyannote[804].end 5292.72284375
transcript.pyannote[805].speaker SPEAKER_04
transcript.pyannote[805].start 5293.92096875
transcript.pyannote[805].end 5293.93784375
transcript.pyannote[806].speaker SPEAKER_19
transcript.pyannote[806].start 5293.93784375
transcript.pyannote[806].end 5293.95471875
transcript.pyannote[807].speaker SPEAKER_04
transcript.pyannote[807].start 5293.95471875
transcript.pyannote[807].end 5293.98846875
transcript.pyannote[808].speaker SPEAKER_19
transcript.pyannote[808].start 5293.98846875
transcript.pyannote[808].end 5294.07284375
transcript.pyannote[809].speaker SPEAKER_04
transcript.pyannote[809].start 5294.07284375
transcript.pyannote[809].end 5294.66346875
transcript.pyannote[810].speaker SPEAKER_04
transcript.pyannote[810].start 5294.73096875
transcript.pyannote[810].end 5294.81534375
transcript.pyannote[811].speaker SPEAKER_19
transcript.pyannote[811].start 5294.81534375
transcript.pyannote[811].end 5295.35534375
transcript.pyannote[812].speaker SPEAKER_19
transcript.pyannote[812].start 5295.52409375
transcript.pyannote[812].end 5296.63784375
transcript.pyannote[813].speaker SPEAKER_19
transcript.pyannote[813].start 5297.05971875
transcript.pyannote[813].end 5297.49846875
transcript.pyannote[814].speaker SPEAKER_19
transcript.pyannote[814].start 5298.32534375
transcript.pyannote[814].end 5300.14784375
transcript.pyannote[815].speaker SPEAKER_19
transcript.pyannote[815].start 5301.09284375
transcript.pyannote[815].end 5302.24034375
transcript.pyannote[816].speaker SPEAKER_00
transcript.pyannote[816].start 5301.88596875
transcript.pyannote[816].end 5301.93659375
transcript.pyannote[817].speaker SPEAKER_00
transcript.pyannote[817].start 5307.01596875
transcript.pyannote[817].end 5308.70346875
transcript.pyannote[818].speaker SPEAKER_00
transcript.pyannote[818].start 5309.09159375
transcript.pyannote[818].end 5309.15909375
transcript.pyannote[819].speaker SPEAKER_19
transcript.pyannote[819].start 5309.59784375
transcript.pyannote[819].end 5311.87596875
transcript.pyannote[820].speaker SPEAKER_04
transcript.pyannote[820].start 5314.49159375
transcript.pyannote[820].end 5316.09471875
transcript.pyannote[821].speaker SPEAKER_00
transcript.pyannote[821].start 5316.02721875
transcript.pyannote[821].end 5332.05846875
transcript.pyannote[822].speaker SPEAKER_04
transcript.pyannote[822].start 5316.82034375
transcript.pyannote[822].end 5317.20846875
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 5329.52721875
transcript.pyannote[823].end 5329.54409375
transcript.pyannote[824].speaker SPEAKER_07
transcript.pyannote[824].start 5329.54409375
transcript.pyannote[824].end 5329.96596875
transcript.pyannote[825].speaker SPEAKER_07
transcript.pyannote[825].start 5332.05846875
transcript.pyannote[825].end 5332.19346875
transcript.pyannote[826].speaker SPEAKER_00
transcript.pyannote[826].start 5332.19346875
transcript.pyannote[826].end 5332.26096875
transcript.pyannote[827].speaker SPEAKER_07
transcript.pyannote[827].start 5332.26096875
transcript.pyannote[827].end 5332.27784375
transcript.pyannote[828].speaker SPEAKER_00
transcript.pyannote[828].start 5332.27784375
transcript.pyannote[828].end 5332.31159375
transcript.pyannote[829].speaker SPEAKER_00
transcript.pyannote[829].start 5332.34534375
transcript.pyannote[829].end 5356.32471875
transcript.pyannote[830].speaker SPEAKER_09
transcript.pyannote[830].start 5350.73909375
transcript.pyannote[830].end 5351.09346875
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 5354.90721875
transcript.pyannote[831].end 5355.73409375
transcript.pyannote[832].speaker SPEAKER_09
transcript.pyannote[832].start 5356.32471875
transcript.pyannote[832].end 5356.94909375
transcript.pyannote[833].speaker SPEAKER_00
transcript.pyannote[833].start 5356.57784375
transcript.pyannote[833].end 5371.59659375
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 5362.53471875
transcript.pyannote[834].end 5363.02409375
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 5365.69034375
transcript.pyannote[835].end 5366.09534375
transcript.pyannote[836].speaker SPEAKER_01
transcript.pyannote[836].start 5366.09534375
transcript.pyannote[836].end 5366.14596875
transcript.pyannote[837].speaker SPEAKER_05
transcript.pyannote[837].start 5370.95534375
transcript.pyannote[837].end 5370.97221875
transcript.pyannote[838].speaker SPEAKER_09
transcript.pyannote[838].start 5370.97221875
transcript.pyannote[838].end 5370.98909375
transcript.pyannote[839].speaker SPEAKER_05
transcript.pyannote[839].start 5370.98909375
transcript.pyannote[839].end 5371.00596875
transcript.pyannote[840].speaker SPEAKER_09
transcript.pyannote[840].start 5371.02284375
transcript.pyannote[840].end 5371.15784375
transcript.pyannote[841].speaker SPEAKER_00
transcript.pyannote[841].start 5371.91721875
transcript.pyannote[841].end 5376.49034375
transcript.pyannote[842].speaker SPEAKER_09
transcript.pyannote[842].start 5376.35534375
transcript.pyannote[842].end 5377.04721875
transcript.pyannote[843].speaker SPEAKER_00
transcript.pyannote[843].start 5376.52409375
transcript.pyannote[843].end 5376.54096875
transcript.pyannote[844].speaker SPEAKER_00
transcript.pyannote[844].start 5376.57471875
transcript.pyannote[844].end 5384.03346875
transcript.pyannote[845].speaker SPEAKER_00
transcript.pyannote[845].start 5384.60721875
transcript.pyannote[845].end 5389.28159375
transcript.pyannote[846].speaker SPEAKER_09
transcript.pyannote[846].start 5389.33221875
transcript.pyannote[846].end 5389.68659375
transcript.pyannote[847].speaker SPEAKER_00
transcript.pyannote[847].start 5389.51784375
transcript.pyannote[847].end 5404.08096875
transcript.pyannote[848].speaker SPEAKER_09
transcript.pyannote[848].start 5404.08096875
transcript.pyannote[848].end 5404.46909375
transcript.pyannote[849].speaker SPEAKER_00
transcript.pyannote[849].start 5404.40159375
transcript.pyannote[849].end 5426.47409375
transcript.pyannote[850].speaker SPEAKER_00
transcript.pyannote[850].start 5426.62596875
transcript.pyannote[850].end 5431.40159375
transcript.pyannote[851].speaker SPEAKER_09
transcript.pyannote[851].start 5431.21596875
transcript.pyannote[851].end 5433.64596875
transcript.pyannote[852].speaker SPEAKER_00
transcript.pyannote[852].start 5431.57034375
transcript.pyannote[852].end 5440.24409375
transcript.pyannote[853].speaker SPEAKER_09
transcript.pyannote[853].start 5440.56471875
transcript.pyannote[853].end 5440.69971875
transcript.pyannote[854].speaker SPEAKER_00
transcript.pyannote[854].start 5440.69971875
transcript.pyannote[854].end 5450.09909375
transcript.pyannote[855].speaker SPEAKER_00
transcript.pyannote[855].start 5450.36909375
transcript.pyannote[855].end 5457.74346875
transcript.pyannote[856].speaker SPEAKER_09
transcript.pyannote[856].start 5457.74346875
transcript.pyannote[856].end 5458.14846875
transcript.pyannote[857].speaker SPEAKER_00
transcript.pyannote[857].start 5458.13159375
transcript.pyannote[857].end 5483.05596875
transcript.pyannote[858].speaker SPEAKER_01
transcript.pyannote[858].start 5469.01596875
transcript.pyannote[858].end 5469.40409375
transcript.pyannote[859].speaker SPEAKER_09
transcript.pyannote[859].start 5483.02221875
transcript.pyannote[859].end 5483.39346875
transcript.pyannote[860].speaker SPEAKER_00
transcript.pyannote[860].start 5483.29221875
transcript.pyannote[860].end 5491.12221875
transcript.pyannote[861].speaker SPEAKER_05
transcript.pyannote[861].start 5491.00409375
transcript.pyannote[861].end 5491.40909375
transcript.pyannote[862].speaker SPEAKER_00
transcript.pyannote[862].start 5491.32471875
transcript.pyannote[862].end 5496.10034375
transcript.pyannote[863].speaker SPEAKER_09
transcript.pyannote[863].start 5496.10034375
transcript.pyannote[863].end 5496.48846875
transcript.pyannote[864].speaker SPEAKER_00
transcript.pyannote[864].start 5496.35346875
transcript.pyannote[864].end 5503.45784375
transcript.pyannote[865].speaker SPEAKER_09
transcript.pyannote[865].start 5503.39034375
transcript.pyannote[865].end 5503.42409375
transcript.pyannote[866].speaker SPEAKER_05
transcript.pyannote[866].start 5503.42409375
transcript.pyannote[866].end 5503.72784375
transcript.pyannote[867].speaker SPEAKER_00
transcript.pyannote[867].start 5503.69409375
transcript.pyannote[867].end 5545.47659375
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 5503.72784375
transcript.pyannote[868].end 5503.77846875
transcript.pyannote[869].speaker SPEAKER_05
transcript.pyannote[869].start 5503.77846875
transcript.pyannote[869].end 5503.82909375
transcript.pyannote[870].speaker SPEAKER_05
transcript.pyannote[870].start 5530.98096875
transcript.pyannote[870].end 5531.08221875
transcript.pyannote[871].speaker SPEAKER_00
transcript.pyannote[871].start 5545.78034375
transcript.pyannote[871].end 5556.34409375
transcript.pyannote[872].speaker SPEAKER_00
transcript.pyannote[872].start 5557.17096875
transcript.pyannote[872].end 5561.65971875
transcript.pyannote[873].speaker SPEAKER_00
transcript.pyannote[873].start 5561.72721875
transcript.pyannote[873].end 5574.14721875
transcript.pyannote[874].speaker SPEAKER_01
transcript.pyannote[874].start 5566.82346875
transcript.pyannote[874].end 5566.87409375
transcript.pyannote[875].speaker SPEAKER_09
transcript.pyannote[875].start 5574.14721875
transcript.pyannote[875].end 5574.50159375
transcript.pyannote[876].speaker SPEAKER_00
transcript.pyannote[876].start 5574.43409375
transcript.pyannote[876].end 5574.80534375
transcript.pyannote[877].speaker SPEAKER_00
transcript.pyannote[877].start 5575.36221875
transcript.pyannote[877].end 5584.59284375
transcript.pyannote[878].speaker SPEAKER_00
transcript.pyannote[878].start 5584.86284375
transcript.pyannote[878].end 5586.83721875
transcript.pyannote[879].speaker SPEAKER_00
transcript.pyannote[879].start 5587.02284375
transcript.pyannote[879].end 5590.61721875
transcript.pyannote[880].speaker SPEAKER_00
transcript.pyannote[880].start 5590.85346875
transcript.pyannote[880].end 5597.43471875
transcript.pyannote[881].speaker SPEAKER_05
transcript.pyannote[881].start 5597.43471875
transcript.pyannote[881].end 5597.67096875
transcript.pyannote[882].speaker SPEAKER_00
transcript.pyannote[882].start 5597.51909375
transcript.pyannote[882].end 5622.94971875
transcript.pyannote[883].speaker SPEAKER_09
transcript.pyannote[883].start 5622.94971875
transcript.pyannote[883].end 5623.33784375
transcript.pyannote[884].speaker SPEAKER_00
transcript.pyannote[884].start 5623.30409375
transcript.pyannote[884].end 5649.19034375
transcript.pyannote[885].speaker SPEAKER_01
transcript.pyannote[885].start 5644.61721875
transcript.pyannote[885].end 5645.35971875
transcript.pyannote[886].speaker SPEAKER_00
transcript.pyannote[886].start 5649.76409375
transcript.pyannote[886].end 5702.38034375
transcript.pyannote[887].speaker SPEAKER_05
transcript.pyannote[887].start 5665.10346875
transcript.pyannote[887].end 5665.50846875
transcript.pyannote[888].speaker SPEAKER_00
transcript.pyannote[888].start 5702.88659375
transcript.pyannote[888].end 5709.02909375
transcript.pyannote[889].speaker SPEAKER_05
transcript.pyannote[889].start 5708.96159375
transcript.pyannote[889].end 5709.01221875
transcript.pyannote[890].speaker SPEAKER_11
transcript.pyannote[890].start 5709.01221875
transcript.pyannote[890].end 5709.38346875
transcript.pyannote[891].speaker SPEAKER_00
transcript.pyannote[891].start 5709.23159375
transcript.pyannote[891].end 5712.01596875
transcript.pyannote[892].speaker SPEAKER_00
transcript.pyannote[892].start 5712.72471875
transcript.pyannote[892].end 5718.17534375
transcript.pyannote[893].speaker SPEAKER_07
transcript.pyannote[893].start 5718.12471875
transcript.pyannote[893].end 5718.15846875
transcript.pyannote[894].speaker SPEAKER_07
transcript.pyannote[894].start 5718.17534375
transcript.pyannote[894].end 5718.41159375
transcript.pyannote[895].speaker SPEAKER_00
transcript.pyannote[895].start 5718.41159375
transcript.pyannote[895].end 5732.56971875
transcript.pyannote[896].speaker SPEAKER_07
transcript.pyannote[896].start 5718.42846875
transcript.pyannote[896].end 5718.44534375
transcript.pyannote[897].speaker SPEAKER_09
transcript.pyannote[897].start 5718.44534375
transcript.pyannote[897].end 5718.46221875
transcript.pyannote[898].speaker SPEAKER_09
transcript.pyannote[898].start 5732.48534375
transcript.pyannote[898].end 5732.67096875
transcript.pyannote[899].speaker SPEAKER_00
transcript.pyannote[899].start 5732.63721875
transcript.pyannote[899].end 5746.93034375
transcript.pyannote[900].speaker SPEAKER_09
transcript.pyannote[900].start 5732.68784375
transcript.pyannote[900].end 5732.75534375
transcript.pyannote[901].speaker SPEAKER_04
transcript.pyannote[901].start 5747.18346875
transcript.pyannote[901].end 5750.54159375
transcript.pyannote[902].speaker SPEAKER_04
transcript.pyannote[902].start 5750.79471875
transcript.pyannote[902].end 5773.01909375
transcript.pyannote[903].speaker SPEAKER_00
transcript.pyannote[903].start 5770.53846875
transcript.pyannote[903].end 5770.79159375
transcript.pyannote[904].speaker SPEAKER_00
transcript.pyannote[904].start 5771.90534375
transcript.pyannote[904].end 5774.55471875
transcript.pyannote[905].speaker SPEAKER_04
transcript.pyannote[905].start 5776.10721875
transcript.pyannote[905].end 5790.50159375
transcript.pyannote[906].speaker SPEAKER_00
transcript.pyannote[906].start 5789.26971875
transcript.pyannote[906].end 5825.85471875
transcript.pyannote[907].speaker SPEAKER_04
transcript.pyannote[907].start 5790.70409375
transcript.pyannote[907].end 5793.64034375
transcript.pyannote[908].speaker SPEAKER_01
transcript.pyannote[908].start 5816.64096875
transcript.pyannote[908].end 5816.75909375
transcript.pyannote[909].speaker SPEAKER_01
transcript.pyannote[909].start 5816.79284375
transcript.pyannote[909].end 5816.82659375
transcript.pyannote[910].speaker SPEAKER_01
transcript.pyannote[910].start 5816.84346875
transcript.pyannote[910].end 5817.02909375
transcript.pyannote[911].speaker SPEAKER_09
transcript.pyannote[911].start 5817.02909375
transcript.pyannote[911].end 5817.83909375
transcript.pyannote[912].speaker SPEAKER_09
transcript.pyannote[912].start 5821.95659375
transcript.pyannote[912].end 5822.10846875
transcript.pyannote[913].speaker SPEAKER_09
transcript.pyannote[913].start 5825.85471875
transcript.pyannote[913].end 5826.19221875
transcript.pyannote[914].speaker SPEAKER_00
transcript.pyannote[914].start 5826.19221875
transcript.pyannote[914].end 5833.39784375
transcript.pyannote[915].speaker SPEAKER_09
transcript.pyannote[915].start 5833.73534375
transcript.pyannote[915].end 5833.97159375
transcript.pyannote[916].speaker SPEAKER_00
transcript.pyannote[916].start 5833.85346875
transcript.pyannote[916].end 5864.95409375
transcript.pyannote[917].speaker SPEAKER_00
transcript.pyannote[917].start 5865.46034375
transcript.pyannote[917].end 5890.67159375
transcript.pyannote[918].speaker SPEAKER_09
transcript.pyannote[918].start 5890.84034375
transcript.pyannote[918].end 5891.16096875
transcript.pyannote[919].speaker SPEAKER_00
transcript.pyannote[919].start 5891.16096875
transcript.pyannote[919].end 5903.15909375
transcript.pyannote[920].speaker SPEAKER_09
transcript.pyannote[920].start 5892.76409375
transcript.pyannote[920].end 5892.91596875
transcript.pyannote[921].speaker SPEAKER_05
transcript.pyannote[921].start 5899.96971875
transcript.pyannote[921].end 5900.39159375
transcript.pyannote[922].speaker SPEAKER_00
transcript.pyannote[922].start 5903.56409375
transcript.pyannote[922].end 5905.13346875
transcript.pyannote[923].speaker SPEAKER_09
transcript.pyannote[923].start 5905.04909375
transcript.pyannote[923].end 5905.21784375
transcript.pyannote[924].speaker SPEAKER_00
transcript.pyannote[924].start 5905.21784375
transcript.pyannote[924].end 5908.87971875
transcript.pyannote[925].speaker SPEAKER_09
transcript.pyannote[925].start 5905.26846875
transcript.pyannote[925].end 5905.30221875
transcript.pyannote[926].speaker SPEAKER_09
transcript.pyannote[926].start 5908.74471875
transcript.pyannote[926].end 5909.08221875
transcript.pyannote[927].speaker SPEAKER_00
transcript.pyannote[927].start 5909.08221875
transcript.pyannote[927].end 5922.07596875
transcript.pyannote[928].speaker SPEAKER_00
transcript.pyannote[928].start 5922.59909375
transcript.pyannote[928].end 5925.68721875
transcript.pyannote[929].speaker SPEAKER_00
transcript.pyannote[929].start 5926.15971875
transcript.pyannote[929].end 5927.62784375
transcript.pyannote[930].speaker SPEAKER_00
transcript.pyannote[930].start 5927.76284375
transcript.pyannote[930].end 5935.87971875
transcript.pyannote[931].speaker SPEAKER_00
transcript.pyannote[931].start 5936.11596875
transcript.pyannote[931].end 5942.73096875
transcript.pyannote[932].speaker SPEAKER_00
transcript.pyannote[932].start 5943.15284375
transcript.pyannote[932].end 5945.41409375
transcript.pyannote[933].speaker SPEAKER_00
transcript.pyannote[933].start 5945.85284375
transcript.pyannote[933].end 5977.44284375
transcript.pyannote[934].speaker SPEAKER_00
transcript.pyannote[934].start 5978.01659375
transcript.pyannote[934].end 5980.22721875
transcript.pyannote[935].speaker SPEAKER_04
transcript.pyannote[935].start 5980.22721875
transcript.pyannote[935].end 5985.64409375
transcript.pyannote[936].speaker SPEAKER_00
transcript.pyannote[936].start 5984.36159375
transcript.pyannote[936].end 6010.46721875
transcript.pyannote[937].speaker SPEAKER_04
transcript.pyannote[937].start 5986.92659375
transcript.pyannote[937].end 5987.46659375
transcript.pyannote[938].speaker SPEAKER_09
transcript.pyannote[938].start 5988.22596875
transcript.pyannote[938].end 5988.24284375
transcript.pyannote[939].speaker SPEAKER_04
transcript.pyannote[939].start 5988.24284375
transcript.pyannote[939].end 5988.79971875
transcript.pyannote[940].speaker SPEAKER_09
transcript.pyannote[940].start 5988.79971875
transcript.pyannote[940].end 5988.81659375
transcript.pyannote[941].speaker SPEAKER_04
transcript.pyannote[941].start 5988.81659375
transcript.pyannote[941].end 5988.85034375
transcript.pyannote[942].speaker SPEAKER_19
transcript.pyannote[942].start 6009.70784375
transcript.pyannote[942].end 6014.14596875
transcript.pyannote[943].speaker SPEAKER_05
transcript.pyannote[943].start 6030.00846875
transcript.pyannote[943].end 6031.94909375
transcript.pyannote[944].speaker SPEAKER_19
transcript.pyannote[944].start 6032.06721875
transcript.pyannote[944].end 6033.58596875
transcript.pyannote[945].speaker SPEAKER_19
transcript.pyannote[945].start 6037.68659375
transcript.pyannote[945].end 6037.70346875
transcript.pyannote[946].speaker SPEAKER_04
transcript.pyannote[946].start 6037.70346875
transcript.pyannote[946].end 6039.03659375
transcript.pyannote[947].speaker SPEAKER_04
transcript.pyannote[947].start 6039.08721875
transcript.pyannote[947].end 6039.12096875
transcript.pyannote[948].speaker SPEAKER_05
transcript.pyannote[948].start 6039.12096875
transcript.pyannote[948].end 6040.52159375
transcript.pyannote[949].speaker SPEAKER_04
transcript.pyannote[949].start 6040.43721875
transcript.pyannote[949].end 6040.79159375
transcript.pyannote[950].speaker SPEAKER_05
transcript.pyannote[950].start 6040.80846875
transcript.pyannote[950].end 6062.42534375
transcript.pyannote[951].speaker SPEAKER_09
transcript.pyannote[951].start 6051.03471875
transcript.pyannote[951].end 6051.38909375
transcript.pyannote[952].speaker SPEAKER_09
transcript.pyannote[952].start 6053.39721875
transcript.pyannote[952].end 6053.71784375
transcript.pyannote[953].speaker SPEAKER_05
transcript.pyannote[953].start 6062.76284375
transcript.pyannote[953].end 6064.24784375
transcript.pyannote[954].speaker SPEAKER_04
transcript.pyannote[954].start 6064.97346875
transcript.pyannote[954].end 6074.33909375
transcript.pyannote[955].speaker SPEAKER_05
transcript.pyannote[955].start 6074.03534375
transcript.pyannote[955].end 6077.46096875
transcript.pyannote[956].speaker SPEAKER_04
transcript.pyannote[956].start 6077.27534375
transcript.pyannote[956].end 6077.95034375
transcript.pyannote[957].speaker SPEAKER_05
transcript.pyannote[957].start 6077.59596875
transcript.pyannote[957].end 6081.17346875
transcript.pyannote[958].speaker SPEAKER_04
transcript.pyannote[958].start 6081.22409375
transcript.pyannote[958].end 6084.56534375
transcript.pyannote[959].speaker SPEAKER_05
transcript.pyannote[959].start 6084.51471875
transcript.pyannote[959].end 6088.48034375
transcript.pyannote[960].speaker SPEAKER_04
transcript.pyannote[960].start 6086.20221875
transcript.pyannote[960].end 6086.87721875
transcript.pyannote[961].speaker SPEAKER_04
transcript.pyannote[961].start 6088.53096875
transcript.pyannote[961].end 6097.77846875
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 6097.96409375
transcript.pyannote[962].end 6114.77159375
transcript.pyannote[963].speaker SPEAKER_04
transcript.pyannote[963].start 6115.10909375
transcript.pyannote[963].end 6116.50971875
transcript.pyannote[964].speaker SPEAKER_05
transcript.pyannote[964].start 6115.51409375
transcript.pyannote[964].end 6138.63284375
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 6122.06159375
transcript.pyannote[965].end 6122.78721875
transcript.pyannote[966].speaker SPEAKER_09
transcript.pyannote[966].start 6122.78721875
transcript.pyannote[966].end 6122.80409375
transcript.pyannote[967].speaker SPEAKER_00
transcript.pyannote[967].start 6122.80409375
transcript.pyannote[967].end 6122.83784375
transcript.pyannote[968].speaker SPEAKER_04
transcript.pyannote[968].start 6123.25971875
transcript.pyannote[968].end 6123.81659375
transcript.pyannote[969].speaker SPEAKER_04
transcript.pyannote[969].start 6129.87471875
transcript.pyannote[969].end 6130.21221875
transcript.pyannote[970].speaker SPEAKER_09
transcript.pyannote[970].start 6131.35971875
transcript.pyannote[970].end 6131.89971875
transcript.pyannote[971].speaker SPEAKER_09
transcript.pyannote[971].start 6132.86159375
transcript.pyannote[971].end 6134.43096875
transcript.pyannote[972].speaker SPEAKER_04
transcript.pyannote[972].start 6135.29159375
transcript.pyannote[972].end 6135.34221875
transcript.pyannote[973].speaker SPEAKER_09
transcript.pyannote[973].start 6135.34221875
transcript.pyannote[973].end 6135.61221875
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 6138.31221875
transcript.pyannote[974].end 6138.46409375
transcript.pyannote[975].speaker SPEAKER_09
transcript.pyannote[975].start 6138.63284375
transcript.pyannote[975].end 6138.75096875
transcript.pyannote[976].speaker SPEAKER_05
transcript.pyannote[976].start 6138.75096875
transcript.pyannote[976].end 6142.02471875
transcript.pyannote[977].speaker SPEAKER_09
transcript.pyannote[977].start 6138.86909375
transcript.pyannote[977].end 6139.05471875
transcript.pyannote[978].speaker SPEAKER_05
transcript.pyannote[978].start 6142.49721875
transcript.pyannote[978].end 6151.98096875
transcript.pyannote[979].speaker SPEAKER_04
transcript.pyannote[979].start 6148.38659375
transcript.pyannote[979].end 6149.66909375
transcript.pyannote[980].speaker SPEAKER_04
transcript.pyannote[980].start 6152.38596875
transcript.pyannote[980].end 6153.16221875
transcript.pyannote[981].speaker SPEAKER_05
transcript.pyannote[981].start 6153.66846875
transcript.pyannote[981].end 6161.00909375
transcript.pyannote[982].speaker SPEAKER_04
transcript.pyannote[982].start 6154.07346875
transcript.pyannote[982].end 6155.13659375
transcript.pyannote[983].speaker SPEAKER_04
transcript.pyannote[983].start 6156.01409375
transcript.pyannote[983].end 6156.38534375
transcript.pyannote[984].speaker SPEAKER_04
transcript.pyannote[984].start 6159.33846875
transcript.pyannote[984].end 6159.54096875
transcript.pyannote[985].speaker SPEAKER_04
transcript.pyannote[985].start 6160.03034375
transcript.pyannote[985].end 6167.70846875
transcript.pyannote[986].speaker SPEAKER_05
transcript.pyannote[986].start 6166.84784375
transcript.pyannote[986].end 6186.03471875
transcript.pyannote[987].speaker SPEAKER_04
transcript.pyannote[987].start 6172.90596875
transcript.pyannote[987].end 6173.29409375
transcript.pyannote[988].speaker SPEAKER_04
transcript.pyannote[988].start 6174.07034375
transcript.pyannote[988].end 6174.45846875
transcript.pyannote[989].speaker SPEAKER_04
transcript.pyannote[989].start 6185.07284375
transcript.pyannote[989].end 6198.06659375
transcript.pyannote[990].speaker SPEAKER_05
transcript.pyannote[990].start 6191.18159375
transcript.pyannote[990].end 6191.83971875
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 6197.52659375
transcript.pyannote[991].end 6216.52784375
transcript.pyannote[992].speaker SPEAKER_04
transcript.pyannote[992].start 6200.63159375
transcript.pyannote[992].end 6201.03659375
transcript.pyannote[993].speaker SPEAKER_09
transcript.pyannote[993].start 6213.28784375
transcript.pyannote[993].end 6213.37221875
transcript.pyannote[994].speaker SPEAKER_04
transcript.pyannote[994].start 6213.37221875
transcript.pyannote[994].end 6214.23284375
transcript.pyannote[995].speaker SPEAKER_04
transcript.pyannote[995].start 6215.88659375
transcript.pyannote[995].end 6233.82471875
transcript.pyannote[996].speaker SPEAKER_05
transcript.pyannote[996].start 6233.50409375
transcript.pyannote[996].end 6248.38784375
transcript.pyannote[997].speaker SPEAKER_04
transcript.pyannote[997].start 6235.09034375
transcript.pyannote[997].end 6237.70596875
transcript.pyannote[998].speaker SPEAKER_04
transcript.pyannote[998].start 6238.16159375
transcript.pyannote[998].end 6238.93784375
transcript.pyannote[999].speaker SPEAKER_05
transcript.pyannote[999].start 6248.77596875
transcript.pyannote[999].end 6251.64471875
transcript.pyannote[1000].speaker SPEAKER_04
transcript.pyannote[1000].start 6252.80909375
transcript.pyannote[1000].end 6253.88909375
transcript.pyannote[1001].speaker SPEAKER_04
transcript.pyannote[1001].start 6255.62721875
transcript.pyannote[1001].end 6274.66221875
transcript.pyannote[1002].speaker SPEAKER_05
transcript.pyannote[1002].start 6260.01471875
transcript.pyannote[1002].end 6262.78221875
transcript.pyannote[1003].speaker SPEAKER_04
transcript.pyannote[1003].start 6274.74659375
transcript.pyannote[1003].end 6276.61971875
transcript.pyannote[1004].speaker SPEAKER_04
transcript.pyannote[1004].start 6277.07534375
transcript.pyannote[1004].end 6279.37034375
transcript.pyannote[1005].speaker SPEAKER_05
transcript.pyannote[1005].start 6277.53096875
transcript.pyannote[1005].end 6279.28596875
transcript.pyannote[1006].speaker SPEAKER_05
transcript.pyannote[1006].start 6279.37034375
transcript.pyannote[1006].end 6282.44159375
transcript.pyannote[1007].speaker SPEAKER_04
transcript.pyannote[1007].start 6280.53471875
transcript.pyannote[1007].end 6284.97284375
transcript.pyannote[1008].speaker SPEAKER_05
transcript.pyannote[1008].start 6284.97284375
transcript.pyannote[1008].end 6292.29659375
transcript.pyannote[1009].speaker SPEAKER_04
transcript.pyannote[1009].start 6285.74909375
transcript.pyannote[1009].end 6288.88784375
transcript.pyannote[1010].speaker SPEAKER_05
transcript.pyannote[1010].start 6294.20346875
transcript.pyannote[1010].end 6300.75096875
transcript.pyannote[1011].speaker SPEAKER_04
transcript.pyannote[1011].start 6295.75596875
transcript.pyannote[1011].end 6296.00909375
transcript.pyannote[1012].speaker SPEAKER_04
transcript.pyannote[1012].start 6300.04221875
transcript.pyannote[1012].end 6313.30596875
transcript.pyannote[1013].speaker SPEAKER_04
transcript.pyannote[1013].start 6314.13284375
transcript.pyannote[1013].end 6315.31409375
transcript.pyannote[1014].speaker SPEAKER_05
transcript.pyannote[1014].start 6315.93846875
transcript.pyannote[1014].end 6323.02596875
transcript.pyannote[1015].speaker SPEAKER_04
transcript.pyannote[1015].start 6323.02596875
transcript.pyannote[1015].end 6337.50471875
transcript.pyannote[1016].speaker SPEAKER_05
transcript.pyannote[1016].start 6328.07159375
transcript.pyannote[1016].end 6328.91534375
transcript.pyannote[1017].speaker SPEAKER_05
transcript.pyannote[1017].start 6336.79596875
transcript.pyannote[1017].end 6339.10784375
transcript.pyannote[1018].speaker SPEAKER_04
transcript.pyannote[1018].start 6338.38221875
transcript.pyannote[1018].end 6341.50409375
transcript.pyannote[1019].speaker SPEAKER_05
transcript.pyannote[1019].start 6340.37346875
transcript.pyannote[1019].end 6348.38909375
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 6345.03096875
transcript.pyannote[1020].end 6345.31784375
transcript.pyannote[1021].speaker SPEAKER_04
transcript.pyannote[1021].start 6347.71409375
transcript.pyannote[1021].end 6367.35659375
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 6365.58471875
transcript.pyannote[1022].end 6366.59721875
transcript.pyannote[1023].speaker SPEAKER_05
transcript.pyannote[1023].start 6367.91346875
transcript.pyannote[1023].end 6367.98096875
transcript.pyannote[1024].speaker SPEAKER_04
transcript.pyannote[1024].start 6367.98096875
transcript.pyannote[1024].end 6370.14096875
transcript.pyannote[1025].speaker SPEAKER_05
transcript.pyannote[1025].start 6367.99784375
transcript.pyannote[1025].end 6379.77659375
transcript.pyannote[1026].speaker SPEAKER_04
transcript.pyannote[1026].start 6376.23284375
transcript.pyannote[1026].end 6376.99221875
transcript.pyannote[1027].speaker SPEAKER_04
transcript.pyannote[1027].start 6379.91159375
transcript.pyannote[1027].end 6380.62034375
transcript.pyannote[1028].speaker SPEAKER_05
transcript.pyannote[1028].start 6380.18159375
transcript.pyannote[1028].end 6381.66659375
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 6383.15159375
transcript.pyannote[1029].end 6384.48471875
transcript.pyannote[1030].speaker SPEAKER_05
transcript.pyannote[1030].start 6383.82659375
transcript.pyannote[1030].end 6388.24784375
transcript.pyannote[1031].speaker SPEAKER_04
transcript.pyannote[1031].start 6388.29846875
transcript.pyannote[1031].end 6400.24596875
transcript.pyannote[1032].speaker SPEAKER_05
transcript.pyannote[1032].start 6389.91846875
transcript.pyannote[1032].end 6390.72846875
transcript.pyannote[1033].speaker SPEAKER_05
transcript.pyannote[1033].start 6400.34721875
transcript.pyannote[1033].end 6401.83221875
transcript.pyannote[1034].speaker SPEAKER_04
transcript.pyannote[1034].start 6401.37659375
transcript.pyannote[1034].end 6403.89096875
transcript.pyannote[1035].speaker SPEAKER_04
transcript.pyannote[1035].start 6404.05971875
transcript.pyannote[1035].end 6405.39284375
transcript.pyannote[1036].speaker SPEAKER_05
transcript.pyannote[1036].start 6405.39284375
transcript.pyannote[1036].end 6429.74346875
transcript.pyannote[1037].speaker SPEAKER_00
transcript.pyannote[1037].start 6418.96034375
transcript.pyannote[1037].end 6419.55096875
transcript.pyannote[1038].speaker SPEAKER_04
transcript.pyannote[1038].start 6424.42784375
transcript.pyannote[1038].end 6425.10284375
transcript.pyannote[1039].speaker SPEAKER_00
transcript.pyannote[1039].start 6425.10284375
transcript.pyannote[1039].end 6425.11971875
transcript.pyannote[1040].speaker SPEAKER_04
transcript.pyannote[1040].start 6427.39784375
transcript.pyannote[1040].end 6427.76909375
transcript.pyannote[1041].speaker SPEAKER_05
transcript.pyannote[1041].start 6430.14846875
transcript.pyannote[1041].end 6432.69659375
transcript.pyannote[1042].speaker SPEAKER_04
transcript.pyannote[1042].start 6433.47284375
transcript.pyannote[1042].end 6444.08721875
transcript.pyannote[1043].speaker SPEAKER_04
transcript.pyannote[1043].start 6444.10409375
transcript.pyannote[1043].end 6444.76221875
transcript.pyannote[1044].speaker SPEAKER_04
transcript.pyannote[1044].start 6445.13346875
transcript.pyannote[1044].end 6454.09409375
transcript.pyannote[1045].speaker SPEAKER_05
transcript.pyannote[1045].start 6454.09409375
transcript.pyannote[1045].end 6472.08284375
transcript.pyannote[1046].speaker SPEAKER_04
transcript.pyannote[1046].start 6458.48159375
transcript.pyannote[1046].end 6458.95409375
transcript.pyannote[1047].speaker SPEAKER_04
transcript.pyannote[1047].start 6463.03784375
transcript.pyannote[1047].end 6463.86471875
transcript.pyannote[1048].speaker SPEAKER_04
transcript.pyannote[1048].start 6467.91471875
transcript.pyannote[1048].end 6474.12471875
transcript.pyannote[1049].speaker SPEAKER_04
transcript.pyannote[1049].start 6474.66471875
transcript.pyannote[1049].end 6476.04846875
transcript.pyannote[1050].speaker SPEAKER_05
transcript.pyannote[1050].start 6475.06971875
transcript.pyannote[1050].end 6479.96346875
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 6478.63034375
transcript.pyannote[1051].end 6478.66409375
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 6478.68096875
transcript.pyannote[1052].end 6478.84971875
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 6480.33471875
transcript.pyannote[1053].end 6500.43284375
transcript.pyannote[1054].speaker SPEAKER_05
transcript.pyannote[1054].start 6498.67784375
transcript.pyannote[1054].end 6503.70659375
transcript.pyannote[1055].speaker SPEAKER_04
transcript.pyannote[1055].start 6502.76159375
transcript.pyannote[1055].end 6524.14221875
transcript.pyannote[1056].speaker SPEAKER_05
transcript.pyannote[1056].start 6522.96096875
transcript.pyannote[1056].end 6529.74471875
transcript.pyannote[1057].speaker SPEAKER_04
transcript.pyannote[1057].start 6528.93471875
transcript.pyannote[1057].end 6530.65596875
transcript.pyannote[1058].speaker SPEAKER_05
transcript.pyannote[1058].start 6530.65596875
transcript.pyannote[1058].end 6550.11284375
transcript.pyannote[1059].speaker SPEAKER_04
transcript.pyannote[1059].start 6533.69346875
transcript.pyannote[1059].end 6533.92971875
transcript.pyannote[1060].speaker SPEAKER_04
transcript.pyannote[1060].start 6536.14034375
transcript.pyannote[1060].end 6536.96721875
transcript.pyannote[1061].speaker SPEAKER_14
transcript.pyannote[1061].start 6536.96721875
transcript.pyannote[1061].end 6537.06846875
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 6537.06846875
transcript.pyannote[1062].end 6537.08534375
transcript.pyannote[1063].speaker SPEAKER_00
transcript.pyannote[1063].start 6537.08534375
transcript.pyannote[1063].end 6537.13596875
transcript.pyannote[1064].speaker SPEAKER_04
transcript.pyannote[1064].start 6542.89034375
transcript.pyannote[1064].end 6543.27846875
transcript.pyannote[1065].speaker SPEAKER_04
transcript.pyannote[1065].start 6545.32034375
transcript.pyannote[1065].end 6545.79284375
transcript.pyannote[1066].speaker SPEAKER_04
transcript.pyannote[1066].start 6549.87659375
transcript.pyannote[1066].end 6551.74971875
transcript.pyannote[1067].speaker SPEAKER_05
transcript.pyannote[1067].start 6551.44596875
transcript.pyannote[1067].end 6567.07221875
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 6555.41159375
transcript.pyannote[1068].end 6557.50409375
transcript.pyannote[1069].speaker SPEAKER_04
transcript.pyannote[1069].start 6567.89909375
transcript.pyannote[1069].end 6570.71721875
transcript.pyannote[1070].speaker SPEAKER_04
transcript.pyannote[1070].start 6571.22346875
transcript.pyannote[1070].end 6583.01909375
transcript.pyannote[1071].speaker SPEAKER_04
transcript.pyannote[1071].start 6583.10346875
transcript.pyannote[1071].end 6585.41534375
transcript.pyannote[1072].speaker SPEAKER_05
transcript.pyannote[1072].start 6585.41534375
transcript.pyannote[1072].end 6598.61159375
transcript.pyannote[1073].speaker SPEAKER_04
transcript.pyannote[1073].start 6585.85409375
transcript.pyannote[1073].end 6586.76534375
transcript.pyannote[1074].speaker SPEAKER_04
transcript.pyannote[1074].start 6587.52471875
transcript.pyannote[1074].end 6587.96346875
transcript.pyannote[1075].speaker SPEAKER_04
transcript.pyannote[1075].start 6598.61159375
transcript.pyannote[1075].end 6604.02846875
transcript.pyannote[1076].speaker SPEAKER_05
transcript.pyannote[1076].start 6599.28659375
transcript.pyannote[1076].end 6599.35409375
transcript.pyannote[1077].speaker SPEAKER_09
transcript.pyannote[1077].start 6599.35409375
transcript.pyannote[1077].end 6600.68721875
transcript.pyannote[1078].speaker SPEAKER_04
transcript.pyannote[1078].start 6604.50096875
transcript.pyannote[1078].end 6640.64721875
transcript.pyannote[1079].speaker SPEAKER_00
transcript.pyannote[1079].start 6630.28596875
transcript.pyannote[1079].end 6631.02846875
transcript.pyannote[1080].speaker SPEAKER_05
transcript.pyannote[1080].start 6631.02846875
transcript.pyannote[1080].end 6632.95221875
transcript.pyannote[1081].speaker SPEAKER_05
transcript.pyannote[1081].start 6640.42784375
transcript.pyannote[1081].end 6652.51034375
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 6641.10284375
transcript.pyannote[1082].end 6641.25471875
transcript.pyannote[1083].speaker SPEAKER_04
transcript.pyannote[1083].start 6641.86221875
transcript.pyannote[1083].end 6642.89159375
transcript.pyannote[1084].speaker SPEAKER_04
transcript.pyannote[1084].start 6652.57784375
transcript.pyannote[1084].end 6657.48846875
transcript.pyannote[1085].speaker SPEAKER_05
transcript.pyannote[1085].start 6657.43784375
transcript.pyannote[1085].end 6666.33096875
transcript.pyannote[1086].speaker SPEAKER_04
transcript.pyannote[1086].start 6659.07471875
transcript.pyannote[1086].end 6659.83409375
transcript.pyannote[1087].speaker SPEAKER_04
transcript.pyannote[1087].start 6659.90159375
transcript.pyannote[1087].end 6661.45409375
transcript.pyannote[1088].speaker SPEAKER_04
transcript.pyannote[1088].start 6665.47034375
transcript.pyannote[1088].end 6665.58846875
transcript.pyannote[1089].speaker SPEAKER_04
transcript.pyannote[1089].start 6666.93846875
transcript.pyannote[1089].end 6679.91534375
transcript.pyannote[1090].speaker SPEAKER_05
transcript.pyannote[1090].start 6668.08596875
transcript.pyannote[1090].end 6668.86221875
transcript.pyannote[1091].speaker SPEAKER_05
transcript.pyannote[1091].start 6678.44721875
transcript.pyannote[1091].end 6685.75409375
transcript.pyannote[1092].speaker SPEAKER_04
transcript.pyannote[1092].start 6680.10096875
transcript.pyannote[1092].end 6680.53971875
transcript.pyannote[1093].speaker SPEAKER_04
transcript.pyannote[1093].start 6682.39596875
transcript.pyannote[1093].end 6683.30721875
transcript.pyannote[1094].speaker SPEAKER_04
transcript.pyannote[1094].start 6684.85971875
transcript.pyannote[1094].end 6701.46471875
transcript.pyannote[1095].speaker SPEAKER_05
transcript.pyannote[1095].start 6698.07284375
transcript.pyannote[1095].end 6704.04659375
transcript.pyannote[1096].speaker SPEAKER_04
transcript.pyannote[1096].start 6702.91596875
transcript.pyannote[1096].end 6705.91971875
transcript.pyannote[1097].speaker SPEAKER_05
transcript.pyannote[1097].start 6705.46409375
transcript.pyannote[1097].end 6707.01659375
transcript.pyannote[1098].speaker SPEAKER_04
transcript.pyannote[1098].start 6706.32471875
transcript.pyannote[1098].end 6707.99534375
transcript.pyannote[1099].speaker SPEAKER_19
transcript.pyannote[1099].start 6707.99534375
transcript.pyannote[1099].end 6708.02909375
transcript.pyannote[1100].speaker SPEAKER_04
transcript.pyannote[1100].start 6708.56909375
transcript.pyannote[1100].end 6708.97409375
transcript.pyannote[1101].speaker SPEAKER_19
transcript.pyannote[1101].start 6708.97409375
transcript.pyannote[1101].end 6709.34534375
transcript.pyannote[1102].speaker SPEAKER_19
transcript.pyannote[1102].start 6709.78409375
transcript.pyannote[1102].end 6711.69096875
transcript.pyannote[1103].speaker SPEAKER_19
transcript.pyannote[1103].start 6712.24784375
transcript.pyannote[1103].end 6716.60159375
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 6720.60096875
transcript.pyannote[1104].end 6723.65534375
transcript.pyannote[1105].speaker SPEAKER_19
transcript.pyannote[1105].start 6723.92534375
transcript.pyannote[1105].end 6725.39346875
transcript.pyannote[1106].speaker SPEAKER_19
transcript.pyannote[1106].start 6729.35909375
transcript.pyannote[1106].end 6729.96659375
transcript.pyannote[1107].speaker SPEAKER_04
transcript.pyannote[1107].start 6729.96659375
transcript.pyannote[1107].end 6730.15221875
transcript.pyannote[1108].speaker SPEAKER_06
transcript.pyannote[1108].start 6730.79346875
transcript.pyannote[1108].end 6731.78909375
transcript.pyannote[1109].speaker SPEAKER_04
transcript.pyannote[1109].start 6731.51909375
transcript.pyannote[1109].end 6731.87346875
transcript.pyannote[1110].speaker SPEAKER_15
transcript.pyannote[1110].start 6731.87346875
transcript.pyannote[1110].end 6731.92409375
transcript.pyannote[1111].speaker SPEAKER_06
transcript.pyannote[1111].start 6731.92409375
transcript.pyannote[1111].end 6731.95784375
transcript.pyannote[1112].speaker SPEAKER_06
transcript.pyannote[1112].start 6731.97471875
transcript.pyannote[1112].end 6731.99159375
transcript.pyannote[1113].speaker SPEAKER_06
transcript.pyannote[1113].start 6732.02534375
transcript.pyannote[1113].end 6732.64971875
transcript.pyannote[1114].speaker SPEAKER_06
transcript.pyannote[1114].start 6732.70034375
transcript.pyannote[1114].end 6732.73409375
transcript.pyannote[1115].speaker SPEAKER_04
transcript.pyannote[1115].start 6732.73409375
transcript.pyannote[1115].end 6733.03784375
transcript.pyannote[1116].speaker SPEAKER_15
transcript.pyannote[1116].start 6733.03784375
transcript.pyannote[1116].end 6733.05471875
transcript.pyannote[1117].speaker SPEAKER_06
transcript.pyannote[1117].start 6733.66221875
transcript.pyannote[1117].end 6734.84346875
transcript.pyannote[1118].speaker SPEAKER_06
transcript.pyannote[1118].start 6735.04596875
transcript.pyannote[1118].end 6742.18409375
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 6736.19346875
transcript.pyannote[1119].end 6736.66596875
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 6736.68284375
transcript.pyannote[1120].end 6736.69971875
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 6742.58909375
transcript.pyannote[1121].end 6743.68596875
transcript.pyannote[1122].speaker SPEAKER_06
transcript.pyannote[1122].start 6743.90534375
transcript.pyannote[1122].end 6744.59721875
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 6744.93471875
transcript.pyannote[1123].end 6746.97659375
transcript.pyannote[1124].speaker SPEAKER_06
transcript.pyannote[1124].start 6747.34784375
transcript.pyannote[1124].end 6749.11971875
transcript.pyannote[1125].speaker SPEAKER_06
transcript.pyannote[1125].start 6749.40659375
transcript.pyannote[1125].end 6754.51971875
transcript.pyannote[1126].speaker SPEAKER_09
transcript.pyannote[1126].start 6750.38534375
transcript.pyannote[1126].end 6751.14471875
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 6754.67159375
transcript.pyannote[1127].end 6759.78471875
transcript.pyannote[1128].speaker SPEAKER_06
transcript.pyannote[1128].start 6759.86909375
transcript.pyannote[1128].end 6759.88596875
transcript.pyannote[1129].speaker SPEAKER_09
transcript.pyannote[1129].start 6759.88596875
transcript.pyannote[1129].end 6760.20659375
transcript.pyannote[1130].speaker SPEAKER_06
transcript.pyannote[1130].start 6760.20659375
transcript.pyannote[1130].end 6766.01159375
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 6766.72034375
transcript.pyannote[1131].end 6773.33534375
transcript.pyannote[1132].speaker SPEAKER_00
transcript.pyannote[1132].start 6772.39034375
transcript.pyannote[1132].end 6772.98096875
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 6773.90909375
transcript.pyannote[1133].end 6796.80846875
transcript.pyannote[1134].speaker SPEAKER_00
transcript.pyannote[1134].start 6775.59659375
transcript.pyannote[1134].end 6776.05221875
transcript.pyannote[1135].speaker SPEAKER_06
transcript.pyannote[1135].start 6797.17971875
transcript.pyannote[1135].end 6820.99034375
transcript.pyannote[1136].speaker SPEAKER_09
transcript.pyannote[1136].start 6820.88909375
transcript.pyannote[1136].end 6820.97346875
transcript.pyannote[1137].speaker SPEAKER_09
transcript.pyannote[1137].start 6820.99034375
transcript.pyannote[1137].end 6821.56409375
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 6821.56409375
transcript.pyannote[1138].end 6826.22159375
transcript.pyannote[1139].speaker SPEAKER_06
transcript.pyannote[1139].start 6826.62659375
transcript.pyannote[1139].end 6841.47659375
transcript.pyannote[1140].speaker SPEAKER_05
transcript.pyannote[1140].start 6835.24971875
transcript.pyannote[1140].end 6835.38471875
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 6842.42159375
transcript.pyannote[1141].end 6852.68159375
transcript.pyannote[1142].speaker SPEAKER_06
transcript.pyannote[1142].start 6853.42409375
transcript.pyannote[1142].end 6869.48909375
transcript.pyannote[1143].speaker SPEAKER_00
transcript.pyannote[1143].start 6861.38909375
transcript.pyannote[1143].end 6861.40596875
transcript.pyannote[1144].speaker SPEAKER_09
transcript.pyannote[1144].start 6861.40596875
transcript.pyannote[1144].end 6861.70971875
transcript.pyannote[1145].speaker SPEAKER_04
transcript.pyannote[1145].start 6866.23221875
transcript.pyannote[1145].end 6866.67096875
transcript.pyannote[1146].speaker SPEAKER_04
transcript.pyannote[1146].start 6869.59034375
transcript.pyannote[1146].end 6870.33284375
transcript.pyannote[1147].speaker SPEAKER_04
transcript.pyannote[1147].start 6870.94034375
transcript.pyannote[1147].end 6871.29471875
transcript.pyannote[1148].speaker SPEAKER_04
transcript.pyannote[1148].start 6871.66596875
transcript.pyannote[1148].end 6885.80721875
transcript.pyannote[1149].speaker SPEAKER_04
transcript.pyannote[1149].start 6885.84096875
transcript.pyannote[1149].end 6886.02659375
transcript.pyannote[1150].speaker SPEAKER_04
transcript.pyannote[1150].start 6886.09409375
transcript.pyannote[1150].end 6888.67596875
transcript.pyannote[1151].speaker SPEAKER_04
transcript.pyannote[1151].start 6888.84471875
transcript.pyannote[1151].end 6896.80971875
transcript.pyannote[1152].speaker SPEAKER_04
transcript.pyannote[1152].start 6897.11346875
transcript.pyannote[1152].end 6903.45846875
transcript.pyannote[1153].speaker SPEAKER_04
transcript.pyannote[1153].start 6903.72846875
transcript.pyannote[1153].end 6922.29096875
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 6922.12221875
transcript.pyannote[1154].end 6923.03346875
transcript.pyannote[1155].speaker SPEAKER_04
transcript.pyannote[1155].start 6923.03346875
transcript.pyannote[1155].end 6947.04659375
transcript.pyannote[1156].speaker SPEAKER_06
transcript.pyannote[1156].start 6924.07971875
transcript.pyannote[1156].end 6926.22284375
transcript.pyannote[1157].speaker SPEAKER_06
transcript.pyannote[1157].start 6945.74721875
transcript.pyannote[1157].end 6987.39471875
transcript.pyannote[1158].speaker SPEAKER_04
transcript.pyannote[1158].start 6950.91096875
transcript.pyannote[1158].end 6953.98221875
transcript.pyannote[1159].speaker SPEAKER_00
transcript.pyannote[1159].start 6958.87596875
transcript.pyannote[1159].end 6960.02346875
transcript.pyannote[1160].speaker SPEAKER_09
transcript.pyannote[1160].start 6960.02346875
transcript.pyannote[1160].end 6960.52971875
transcript.pyannote[1161].speaker SPEAKER_00
transcript.pyannote[1161].start 6960.52971875
transcript.pyannote[1161].end 6960.56346875
transcript.pyannote[1162].speaker SPEAKER_00
transcript.pyannote[1162].start 6968.78159375
transcript.pyannote[1162].end 6969.89534375
transcript.pyannote[1163].speaker SPEAKER_00
transcript.pyannote[1163].start 6972.51096875
transcript.pyannote[1163].end 6972.59534375
transcript.pyannote[1164].speaker SPEAKER_03
transcript.pyannote[1164].start 6972.59534375
transcript.pyannote[1164].end 6973.00034375
transcript.pyannote[1165].speaker SPEAKER_00
transcript.pyannote[1165].start 6976.34159375
transcript.pyannote[1165].end 6976.35846875
transcript.pyannote[1166].speaker SPEAKER_00
transcript.pyannote[1166].start 6976.40909375
transcript.pyannote[1166].end 6976.49346875
transcript.pyannote[1167].speaker SPEAKER_04
transcript.pyannote[1167].start 6987.59721875
transcript.pyannote[1167].end 7014.71534375
transcript.pyannote[1168].speaker SPEAKER_06
transcript.pyannote[1168].start 6999.61221875
transcript.pyannote[1168].end 7000.89471875
transcript.pyannote[1169].speaker SPEAKER_06
transcript.pyannote[1169].start 7013.26409375
transcript.pyannote[1169].end 7023.06846875
transcript.pyannote[1170].speaker SPEAKER_04
transcript.pyannote[1170].start 7016.82471875
transcript.pyannote[1170].end 7025.11034375
transcript.pyannote[1171].speaker SPEAKER_04
transcript.pyannote[1171].start 7025.70096875
transcript.pyannote[1171].end 7039.55534375
transcript.pyannote[1172].speaker SPEAKER_06
transcript.pyannote[1172].start 7031.38784375
transcript.pyannote[1172].end 7034.34096875
transcript.pyannote[1173].speaker SPEAKER_06
transcript.pyannote[1173].start 7037.95221875
transcript.pyannote[1173].end 7048.46534375
transcript.pyannote[1174].speaker SPEAKER_04
transcript.pyannote[1174].start 7040.61846875
transcript.pyannote[1174].end 7041.09096875
transcript.pyannote[1175].speaker SPEAKER_04
transcript.pyannote[1175].start 7043.48721875
transcript.pyannote[1175].end 7045.12409375
transcript.pyannote[1176].speaker SPEAKER_04
transcript.pyannote[1176].start 7048.98846875
transcript.pyannote[1176].end 7051.35096875
transcript.pyannote[1177].speaker SPEAKER_06
transcript.pyannote[1177].start 7050.01784375
transcript.pyannote[1177].end 7084.07159375
transcript.pyannote[1178].speaker SPEAKER_04
transcript.pyannote[1178].start 7057.08846875
transcript.pyannote[1178].end 7057.45971875
transcript.pyannote[1179].speaker SPEAKER_09
transcript.pyannote[1179].start 7057.45971875
transcript.pyannote[1179].end 7057.54409375
transcript.pyannote[1180].speaker SPEAKER_09
transcript.pyannote[1180].start 7059.18096875
transcript.pyannote[1180].end 7059.56909375
transcript.pyannote[1181].speaker SPEAKER_04
transcript.pyannote[1181].start 7064.12534375
transcript.pyannote[1181].end 7065.55971875
transcript.pyannote[1182].speaker SPEAKER_04
transcript.pyannote[1182].start 7068.98534375
transcript.pyannote[1182].end 7069.52534375
transcript.pyannote[1183].speaker SPEAKER_04
transcript.pyannote[1183].start 7072.57971875
transcript.pyannote[1183].end 7072.96784375
transcript.pyannote[1184].speaker SPEAKER_09
transcript.pyannote[1184].start 7072.96784375
transcript.pyannote[1184].end 7073.01846875
transcript.pyannote[1185].speaker SPEAKER_09
transcript.pyannote[1185].start 7073.52471875
transcript.pyannote[1185].end 7073.87909375
transcript.pyannote[1186].speaker SPEAKER_09
transcript.pyannote[1186].start 7081.33784375
transcript.pyannote[1186].end 7081.77659375
transcript.pyannote[1187].speaker SPEAKER_09
transcript.pyannote[1187].start 7083.95346875
transcript.pyannote[1187].end 7084.27409375
transcript.pyannote[1188].speaker SPEAKER_06
transcript.pyannote[1188].start 7084.18971875
transcript.pyannote[1188].end 7088.98221875
transcript.pyannote[1189].speaker SPEAKER_09
transcript.pyannote[1189].start 7086.72096875
transcript.pyannote[1189].end 7087.14284375
transcript.pyannote[1190].speaker SPEAKER_09
transcript.pyannote[1190].start 7088.98221875
transcript.pyannote[1190].end 7089.25221875
transcript.pyannote[1191].speaker SPEAKER_06
transcript.pyannote[1191].start 7089.21846875
transcript.pyannote[1191].end 7089.60659375
transcript.pyannote[1192].speaker SPEAKER_04
transcript.pyannote[1192].start 7089.25221875
transcript.pyannote[1192].end 7089.26909375
transcript.pyannote[1193].speaker SPEAKER_06
transcript.pyannote[1193].start 7090.21409375
transcript.pyannote[1193].end 7095.02346875
transcript.pyannote[1194].speaker SPEAKER_09
transcript.pyannote[1194].start 7091.22659375
transcript.pyannote[1194].end 7091.26034375
transcript.pyannote[1195].speaker SPEAKER_04
transcript.pyannote[1195].start 7091.26034375
transcript.pyannote[1195].end 7091.66534375
transcript.pyannote[1196].speaker SPEAKER_09
transcript.pyannote[1196].start 7092.57659375
transcript.pyannote[1196].end 7092.59346875
transcript.pyannote[1197].speaker SPEAKER_04
transcript.pyannote[1197].start 7092.59346875
transcript.pyannote[1197].end 7093.03221875
transcript.pyannote[1198].speaker SPEAKER_04
transcript.pyannote[1198].start 7095.61409375
transcript.pyannote[1198].end 7096.25534375
transcript.pyannote[1199].speaker SPEAKER_06
transcript.pyannote[1199].start 7096.52534375
transcript.pyannote[1199].end 7107.96659375
transcript.pyannote[1200].speaker SPEAKER_04
transcript.pyannote[1200].start 7100.00159375
transcript.pyannote[1200].end 7100.05221875
transcript.pyannote[1201].speaker SPEAKER_04
transcript.pyannote[1201].start 7100.08596875
transcript.pyannote[1201].end 7100.15346875
transcript.pyannote[1202].speaker SPEAKER_04
transcript.pyannote[1202].start 7100.40659375
transcript.pyannote[1202].end 7101.16596875
transcript.pyannote[1203].speaker SPEAKER_04
transcript.pyannote[1203].start 7105.55346875
transcript.pyannote[1203].end 7113.13034375
transcript.pyannote[1204].speaker SPEAKER_06
transcript.pyannote[1204].start 7111.27409375
transcript.pyannote[1204].end 7111.56096875
transcript.pyannote[1205].speaker SPEAKER_06
transcript.pyannote[1205].start 7112.59034375
transcript.pyannote[1205].end 7116.38721875
transcript.pyannote[1206].speaker SPEAKER_04
transcript.pyannote[1206].start 7116.03284375
transcript.pyannote[1206].end 7116.80909375
transcript.pyannote[1207].speaker SPEAKER_06
transcript.pyannote[1207].start 7116.94409375
transcript.pyannote[1207].end 7118.41221875
transcript.pyannote[1208].speaker SPEAKER_04
transcript.pyannote[1208].start 7120.57221875
transcript.pyannote[1208].end 7123.49159375
transcript.pyannote[1209].speaker SPEAKER_04
transcript.pyannote[1209].start 7123.72784375
transcript.pyannote[1209].end 7149.04034375
transcript.pyannote[1210].speaker SPEAKER_06
transcript.pyannote[1210].start 7124.18346875
transcript.pyannote[1210].end 7127.08596875
transcript.pyannote[1211].speaker SPEAKER_06
transcript.pyannote[1211].start 7129.98846875
transcript.pyannote[1211].end 7131.23721875
transcript.pyannote[1212].speaker SPEAKER_00
transcript.pyannote[1212].start 7131.23721875
transcript.pyannote[1212].end 7131.67596875
transcript.pyannote[1213].speaker SPEAKER_06
transcript.pyannote[1213].start 7131.67596875
transcript.pyannote[1213].end 7131.84471875
transcript.pyannote[1214].speaker SPEAKER_00
transcript.pyannote[1214].start 7131.84471875
transcript.pyannote[1214].end 7131.86159375
transcript.pyannote[1215].speaker SPEAKER_06
transcript.pyannote[1215].start 7131.86159375
transcript.pyannote[1215].end 7131.94596875
transcript.pyannote[1216].speaker SPEAKER_00
transcript.pyannote[1216].start 7131.94596875
transcript.pyannote[1216].end 7132.03034375
transcript.pyannote[1217].speaker SPEAKER_09
transcript.pyannote[1217].start 7132.03034375
transcript.pyannote[1217].end 7132.16534375
transcript.pyannote[1218].speaker SPEAKER_06
transcript.pyannote[1218].start 7132.16534375
transcript.pyannote[1218].end 7133.09346875
transcript.pyannote[1219].speaker SPEAKER_06
transcript.pyannote[1219].start 7144.16346875
transcript.pyannote[1219].end 7144.53471875
transcript.pyannote[1220].speaker SPEAKER_06
transcript.pyannote[1220].start 7146.08721875
transcript.pyannote[1220].end 7153.61346875
transcript.pyannote[1221].speaker SPEAKER_04
transcript.pyannote[1221].start 7150.62659375
transcript.pyannote[1221].end 7170.33659375
transcript.pyannote[1222].speaker SPEAKER_06
transcript.pyannote[1222].start 7156.73534375
transcript.pyannote[1222].end 7158.08534375
transcript.pyannote[1223].speaker SPEAKER_06
transcript.pyannote[1223].start 7158.55784375
transcript.pyannote[1223].end 7159.73909375
transcript.pyannote[1224].speaker SPEAKER_04
transcript.pyannote[1224].start 7170.57284375
transcript.pyannote[1224].end 7180.19159375
transcript.pyannote[1225].speaker SPEAKER_06
transcript.pyannote[1225].start 7171.26471875
transcript.pyannote[1225].end 7172.00721875
transcript.pyannote[1226].speaker SPEAKER_04
transcript.pyannote[1226].start 7180.25909375
transcript.pyannote[1226].end 7182.97596875
transcript.pyannote[1227].speaker SPEAKER_06
transcript.pyannote[1227].start 7181.62596875
transcript.pyannote[1227].end 7182.25034375
transcript.pyannote[1228].speaker SPEAKER_06
transcript.pyannote[1228].start 7182.97596875
transcript.pyannote[1228].end 7182.99284375
transcript.pyannote[1229].speaker SPEAKER_04
transcript.pyannote[1229].start 7182.99284375
transcript.pyannote[1229].end 7183.00971875
transcript.pyannote[1230].speaker SPEAKER_04
transcript.pyannote[1230].start 7183.33034375
transcript.pyannote[1230].end 7183.36409375
transcript.pyannote[1231].speaker SPEAKER_06
transcript.pyannote[1231].start 7183.36409375
transcript.pyannote[1231].end 7185.05159375
transcript.pyannote[1232].speaker SPEAKER_04
transcript.pyannote[1232].start 7184.64659375
transcript.pyannote[1232].end 7185.32159375
transcript.pyannote[1233].speaker SPEAKER_06
transcript.pyannote[1233].start 7185.32159375
transcript.pyannote[1233].end 7189.42221875
transcript.pyannote[1234].speaker SPEAKER_04
transcript.pyannote[1234].start 7187.26221875
transcript.pyannote[1234].end 7194.65346875
transcript.pyannote[1235].speaker SPEAKER_06
transcript.pyannote[1235].start 7193.13471875
transcript.pyannote[1235].end 7195.78409375
transcript.pyannote[1236].speaker SPEAKER_04
transcript.pyannote[1236].start 7195.21034375
transcript.pyannote[1236].end 7205.28471875
transcript.pyannote[1237].speaker SPEAKER_06
transcript.pyannote[1237].start 7205.13284375
transcript.pyannote[1237].end 7207.20846875
transcript.pyannote[1238].speaker SPEAKER_04
transcript.pyannote[1238].start 7206.55034375
transcript.pyannote[1238].end 7215.47721875
transcript.pyannote[1239].speaker SPEAKER_04
transcript.pyannote[1239].start 7215.96659375
transcript.pyannote[1239].end 7223.37471875
transcript.pyannote[1240].speaker SPEAKER_06
transcript.pyannote[1240].start 7224.16784375
transcript.pyannote[1240].end 7224.53909375
transcript.pyannote[1241].speaker SPEAKER_06
transcript.pyannote[1241].start 7224.89346875
transcript.pyannote[1241].end 7247.87721875
transcript.pyannote[1242].speaker SPEAKER_00
transcript.pyannote[1242].start 7228.94346875
transcript.pyannote[1242].end 7229.23034375
transcript.pyannote[1243].speaker SPEAKER_04
transcript.pyannote[1243].start 7231.27221875
transcript.pyannote[1243].end 7231.67721875
transcript.pyannote[1244].speaker SPEAKER_00
transcript.pyannote[1244].start 7231.67721875
transcript.pyannote[1244].end 7231.69409375
transcript.pyannote[1245].speaker SPEAKER_00
transcript.pyannote[1245].start 7237.65096875
transcript.pyannote[1245].end 7238.76471875
transcript.pyannote[1246].speaker SPEAKER_04
transcript.pyannote[1246].start 7244.06346875
transcript.pyannote[1246].end 7245.02534375
transcript.pyannote[1247].speaker SPEAKER_04
transcript.pyannote[1247].start 7245.53159375
transcript.pyannote[1247].end 7246.07159375
transcript.pyannote[1248].speaker SPEAKER_06
transcript.pyannote[1248].start 7247.97846875
transcript.pyannote[1248].end 7250.07096875
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 7248.88971875
transcript.pyannote[1249].end 7249.36221875
transcript.pyannote[1250].speaker SPEAKER_04
transcript.pyannote[1250].start 7250.18909375
transcript.pyannote[1250].end 7250.50971875
transcript.pyannote[1251].speaker SPEAKER_06
transcript.pyannote[1251].start 7250.47596875
transcript.pyannote[1251].end 7250.49284375
transcript.pyannote[1252].speaker SPEAKER_06
transcript.pyannote[1252].start 7250.50971875
transcript.pyannote[1252].end 7250.77971875
transcript.pyannote[1253].speaker SPEAKER_06
transcript.pyannote[1253].start 7251.85971875
transcript.pyannote[1253].end 7266.72659375
transcript.pyannote[1254].speaker SPEAKER_04
transcript.pyannote[1254].start 7252.56846875
transcript.pyannote[1254].end 7252.82159375
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 7255.38659375
transcript.pyannote[1255].end 7255.74096875
transcript.pyannote[1256].speaker SPEAKER_07
transcript.pyannote[1256].start 7255.74096875
transcript.pyannote[1256].end 7255.79159375
transcript.pyannote[1257].speaker SPEAKER_04
transcript.pyannote[1257].start 7256.97284375
transcript.pyannote[1257].end 7257.39471875
transcript.pyannote[1258].speaker SPEAKER_07
transcript.pyannote[1258].start 7257.39471875
transcript.pyannote[1258].end 7257.41159375
transcript.pyannote[1259].speaker SPEAKER_00
transcript.pyannote[1259].start 7257.41159375
transcript.pyannote[1259].end 7257.44534375
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 7263.36846875
transcript.pyannote[1260].end 7263.73971875
transcript.pyannote[1261].speaker SPEAKER_06
transcript.pyannote[1261].start 7267.31721875
transcript.pyannote[1261].end 7267.33409375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 7267.33409375
transcript.pyannote[1262].end 7289.33909375
transcript.pyannote[1263].speaker SPEAKER_06
transcript.pyannote[1263].start 7267.97534375
transcript.pyannote[1263].end 7268.95409375
transcript.pyannote[1264].speaker SPEAKER_06
transcript.pyannote[1264].start 7288.39409375
transcript.pyannote[1264].end 7297.42221875
transcript.pyannote[1265].speaker SPEAKER_04
transcript.pyannote[1265].start 7290.60471875
transcript.pyannote[1265].end 7293.77721875
transcript.pyannote[1266].speaker SPEAKER_09
transcript.pyannote[1266].start 7293.77721875
transcript.pyannote[1266].end 7293.81096875
transcript.pyannote[1267].speaker SPEAKER_04
transcript.pyannote[1267].start 7294.51971875
transcript.pyannote[1267].end 7294.99221875
transcript.pyannote[1268].speaker SPEAKER_09
transcript.pyannote[1268].start 7294.99221875
transcript.pyannote[1268].end 7295.00909375
transcript.pyannote[1269].speaker SPEAKER_04
transcript.pyannote[1269].start 7295.00909375
transcript.pyannote[1269].end 7295.04284375
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 7297.50659375
transcript.pyannote[1270].end 7298.68784375
transcript.pyannote[1271].speaker SPEAKER_06
transcript.pyannote[1271].start 7298.21534375
transcript.pyannote[1271].end 7300.17284375
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 7300.08846875
transcript.pyannote[1272].end 7300.78034375
transcript.pyannote[1273].speaker SPEAKER_06
transcript.pyannote[1273].start 7300.78034375
transcript.pyannote[1273].end 7302.36659375
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 7300.79721875
transcript.pyannote[1274].end 7300.81409375
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7302.45096875
transcript.pyannote[1275].end 7321.23284375
transcript.pyannote[1276].speaker SPEAKER_00
transcript.pyannote[1276].start 7313.28471875
transcript.pyannote[1276].end 7314.61784375
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 7321.33409375
transcript.pyannote[1277].end 7325.55284375
transcript.pyannote[1278].speaker SPEAKER_06
transcript.pyannote[1278].start 7321.60409375
transcript.pyannote[1278].end 7329.16409375
transcript.pyannote[1279].speaker SPEAKER_04
transcript.pyannote[1279].start 7328.50596875
transcript.pyannote[1279].end 7337.83784375
transcript.pyannote[1280].speaker SPEAKER_06
transcript.pyannote[1280].start 7333.82159375
transcript.pyannote[1280].end 7342.51221875
transcript.pyannote[1281].speaker SPEAKER_04
transcript.pyannote[1281].start 7339.33971875
transcript.pyannote[1281].end 7343.65971875
transcript.pyannote[1282].speaker SPEAKER_06
transcript.pyannote[1282].start 7342.81596875
transcript.pyannote[1282].end 7345.97159375
transcript.pyannote[1283].speaker SPEAKER_19
transcript.pyannote[1283].start 7343.65971875
transcript.pyannote[1283].end 7343.67659375
transcript.pyannote[1284].speaker SPEAKER_04
transcript.pyannote[1284].start 7343.67659375
transcript.pyannote[1284].end 7343.69346875
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 7344.19971875
transcript.pyannote[1285].end 7344.23346875
transcript.pyannote[1286].speaker SPEAKER_19
transcript.pyannote[1286].start 7344.23346875
transcript.pyannote[1286].end 7345.22909375
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 7345.22909375
transcript.pyannote[1287].end 7345.34721875
transcript.pyannote[1288].speaker SPEAKER_19
transcript.pyannote[1288].start 7345.34721875
transcript.pyannote[1288].end 7345.95471875
transcript.pyannote[1289].speaker SPEAKER_04
transcript.pyannote[1289].start 7345.95471875
transcript.pyannote[1289].end 7346.20784375
transcript.pyannote[1290].speaker SPEAKER_19
transcript.pyannote[1290].start 7345.97159375
transcript.pyannote[1290].end 7352.48534375
transcript.pyannote[1291].speaker SPEAKER_06
transcript.pyannote[1291].start 7347.47346875
transcript.pyannote[1291].end 7348.50284375
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 7348.50284375
transcript.pyannote[1292].end 7349.41409375
transcript.pyannote[1293].speaker SPEAKER_13
transcript.pyannote[1293].start 7360.01159375
transcript.pyannote[1293].end 7361.36159375
transcript.pyannote[1294].speaker SPEAKER_13
transcript.pyannote[1294].start 7361.54721875
transcript.pyannote[1294].end 7362.72846875
transcript.pyannote[1295].speaker SPEAKER_19
transcript.pyannote[1295].start 7362.93096875
transcript.pyannote[1295].end 7364.36534375
transcript.pyannote[1296].speaker SPEAKER_13
transcript.pyannote[1296].start 7364.39909375
transcript.pyannote[1296].end 7364.61846875
transcript.pyannote[1297].speaker SPEAKER_13
transcript.pyannote[1297].start 7364.83784375
transcript.pyannote[1297].end 7368.65159375
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 7372.27971875
transcript.pyannote[1298].end 7373.17409375
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 7374.06846875
transcript.pyannote[1299].end 7375.14846875
transcript.pyannote[1300].speaker SPEAKER_13
transcript.pyannote[1300].start 7375.14846875
transcript.pyannote[1300].end 7376.93721875
transcript.pyannote[1301].speaker SPEAKER_04
transcript.pyannote[1301].start 7376.24534375
transcript.pyannote[1301].end 7377.47721875
transcript.pyannote[1302].speaker SPEAKER_13
transcript.pyannote[1302].start 7377.47721875
transcript.pyannote[1302].end 7377.49409375
transcript.pyannote[1303].speaker SPEAKER_13
transcript.pyannote[1303].start 7377.86534375
transcript.pyannote[1303].end 7387.48409375
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 7382.79284375
transcript.pyannote[1304].end 7382.84346875
transcript.pyannote[1305].speaker SPEAKER_04
transcript.pyannote[1305].start 7382.84346875
transcript.pyannote[1305].end 7383.41721875
transcript.pyannote[1306].speaker SPEAKER_15
transcript.pyannote[1306].start 7383.41721875
transcript.pyannote[1306].end 7383.45096875
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 7384.32846875
transcript.pyannote[1307].end 7384.34534375
transcript.pyannote[1308].speaker SPEAKER_04
transcript.pyannote[1308].start 7384.34534375
transcript.pyannote[1308].end 7384.36221875
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 7384.36221875
transcript.pyannote[1309].end 7384.54784375
transcript.pyannote[1310].speaker SPEAKER_13
transcript.pyannote[1310].start 7387.72034375
transcript.pyannote[1310].end 7401.20346875
transcript.pyannote[1311].speaker SPEAKER_00
transcript.pyannote[1311].start 7393.47471875
transcript.pyannote[1311].end 7393.55909375
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 7393.55909375
transcript.pyannote[1312].end 7393.69409375
transcript.pyannote[1313].speaker SPEAKER_00
transcript.pyannote[1313].start 7393.69409375
transcript.pyannote[1313].end 7393.81221875
transcript.pyannote[1314].speaker SPEAKER_13
transcript.pyannote[1314].start 7401.32159375
transcript.pyannote[1314].end 7418.61846875
transcript.pyannote[1315].speaker SPEAKER_00
transcript.pyannote[1315].start 7412.84721875
transcript.pyannote[1315].end 7413.33659375
transcript.pyannote[1316].speaker SPEAKER_13
transcript.pyannote[1316].start 7418.78721875
transcript.pyannote[1316].end 7423.02284375
transcript.pyannote[1317].speaker SPEAKER_09
transcript.pyannote[1317].start 7423.14096875
transcript.pyannote[1317].end 7423.30971875
transcript.pyannote[1318].speaker SPEAKER_13
transcript.pyannote[1318].start 7423.30971875
transcript.pyannote[1318].end 7425.60471875
transcript.pyannote[1319].speaker SPEAKER_09
transcript.pyannote[1319].start 7425.60471875
transcript.pyannote[1319].end 7425.90846875
transcript.pyannote[1320].speaker SPEAKER_13
transcript.pyannote[1320].start 7425.90846875
transcript.pyannote[1320].end 7432.01721875
transcript.pyannote[1321].speaker SPEAKER_09
transcript.pyannote[1321].start 7431.98346875
transcript.pyannote[1321].end 7432.00034375
transcript.pyannote[1322].speaker SPEAKER_09
transcript.pyannote[1322].start 7432.01721875
transcript.pyannote[1322].end 7432.15221875
transcript.pyannote[1323].speaker SPEAKER_13
transcript.pyannote[1323].start 7432.15221875
transcript.pyannote[1323].end 7438.91909375
transcript.pyannote[1324].speaker SPEAKER_04
transcript.pyannote[1324].start 7438.91909375
transcript.pyannote[1324].end 7439.07096875
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 7439.07096875
transcript.pyannote[1325].end 7439.08784375
transcript.pyannote[1326].speaker SPEAKER_04
transcript.pyannote[1326].start 7439.08784375
transcript.pyannote[1326].end 7439.39159375
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 7439.67846875
transcript.pyannote[1327].end 7453.31346875
transcript.pyannote[1328].speaker SPEAKER_13
transcript.pyannote[1328].start 7452.08159375
transcript.pyannote[1328].end 7452.25034375
transcript.pyannote[1329].speaker SPEAKER_13
transcript.pyannote[1329].start 7452.85784375
transcript.pyannote[1329].end 7454.41034375
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 7454.08971875
transcript.pyannote[1330].end 7463.42159375
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 7463.75909375
transcript.pyannote[1331].end 7465.17659375
transcript.pyannote[1332].speaker SPEAKER_13
transcript.pyannote[1332].start 7463.97846875
transcript.pyannote[1332].end 7465.09221875
transcript.pyannote[1333].speaker SPEAKER_13
transcript.pyannote[1333].start 7465.17659375
transcript.pyannote[1333].end 7465.81784375
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 7465.81784375
transcript.pyannote[1334].end 7477.09034375
transcript.pyannote[1335].speaker SPEAKER_13
transcript.pyannote[1335].start 7465.88534375
transcript.pyannote[1335].end 7466.52659375
transcript.pyannote[1336].speaker SPEAKER_13
transcript.pyannote[1336].start 7477.09034375
transcript.pyannote[1336].end 7480.60034375
transcript.pyannote[1337].speaker SPEAKER_04
transcript.pyannote[1337].start 7477.57971875
transcript.pyannote[1337].end 7478.27159375
transcript.pyannote[1338].speaker SPEAKER_04
transcript.pyannote[1338].start 7480.34721875
transcript.pyannote[1338].end 7483.03034375
transcript.pyannote[1339].speaker SPEAKER_13
transcript.pyannote[1339].start 7481.30909375
transcript.pyannote[1339].end 7483.48596875
transcript.pyannote[1340].speaker SPEAKER_04
transcript.pyannote[1340].start 7483.11471875
transcript.pyannote[1340].end 7483.38471875
transcript.pyannote[1341].speaker SPEAKER_04
transcript.pyannote[1341].start 7483.48596875
transcript.pyannote[1341].end 7483.72221875
transcript.pyannote[1342].speaker SPEAKER_13
transcript.pyannote[1342].start 7483.72221875
transcript.pyannote[1342].end 7486.42221875
transcript.pyannote[1343].speaker SPEAKER_13
transcript.pyannote[1343].start 7486.87784375
transcript.pyannote[1343].end 7487.97471875
transcript.pyannote[1344].speaker SPEAKER_13
transcript.pyannote[1344].start 7488.46409375
transcript.pyannote[1344].end 7489.57784375
transcript.pyannote[1345].speaker SPEAKER_13
transcript.pyannote[1345].start 7489.83096875
transcript.pyannote[1345].end 7491.34971875
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 7491.38346875
transcript.pyannote[1346].end 7516.03784375
transcript.pyannote[1347].speaker SPEAKER_13
transcript.pyannote[1347].start 7498.43721875
transcript.pyannote[1347].end 7498.67346875
transcript.pyannote[1348].speaker SPEAKER_09
transcript.pyannote[1348].start 7498.67346875
transcript.pyannote[1348].end 7498.70721875
transcript.pyannote[1349].speaker SPEAKER_13
transcript.pyannote[1349].start 7516.22346875
transcript.pyannote[1349].end 7521.79221875
transcript.pyannote[1350].speaker SPEAKER_04
transcript.pyannote[1350].start 7521.97784375
transcript.pyannote[1350].end 7532.71034375
transcript.pyannote[1351].speaker SPEAKER_09
transcript.pyannote[1351].start 7532.71034375
transcript.pyannote[1351].end 7533.03096875
transcript.pyannote[1352].speaker SPEAKER_04
transcript.pyannote[1352].start 7533.03096875
transcript.pyannote[1352].end 7539.71346875
transcript.pyannote[1353].speaker SPEAKER_09
transcript.pyannote[1353].start 7535.49471875
transcript.pyannote[1353].end 7535.84909375
transcript.pyannote[1354].speaker SPEAKER_01
transcript.pyannote[1354].start 7539.71346875
transcript.pyannote[1354].end 7539.88221875
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 7539.88221875
transcript.pyannote[1355].end 7544.82659375
transcript.pyannote[1356].speaker SPEAKER_04
transcript.pyannote[1356].start 7545.60284375
transcript.pyannote[1356].end 7546.93596875
transcript.pyannote[1357].speaker SPEAKER_13
transcript.pyannote[1357].start 7546.27784375
transcript.pyannote[1357].end 7548.82596875
transcript.pyannote[1358].speaker SPEAKER_04
transcript.pyannote[1358].start 7548.82596875
transcript.pyannote[1358].end 7554.95159375
transcript.pyannote[1359].speaker SPEAKER_13
transcript.pyannote[1359].start 7554.95159375
transcript.pyannote[1359].end 7555.91346875
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 7555.44096875
transcript.pyannote[1360].end 7556.16659375
transcript.pyannote[1361].speaker SPEAKER_13
transcript.pyannote[1361].start 7556.16659375
transcript.pyannote[1361].end 7566.67971875
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 7558.74846875
transcript.pyannote[1362].end 7559.08596875
transcript.pyannote[1363].speaker SPEAKER_04
transcript.pyannote[1363].start 7566.27471875
transcript.pyannote[1363].end 7569.16034375
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 7569.09284375
transcript.pyannote[1364].end 7576.58534375
transcript.pyannote[1365].speaker SPEAKER_04
transcript.pyannote[1365].start 7572.14721875
transcript.pyannote[1365].end 7572.36659375
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 7575.45471875
transcript.pyannote[1366].end 7576.12971875
transcript.pyannote[1367].speaker SPEAKER_13
transcript.pyannote[1367].start 7577.15909375
transcript.pyannote[1367].end 7581.04034375
transcript.pyannote[1368].speaker SPEAKER_04
transcript.pyannote[1368].start 7581.27659375
transcript.pyannote[1368].end 7582.52534375
transcript.pyannote[1369].speaker SPEAKER_13
transcript.pyannote[1369].start 7582.50846875
transcript.pyannote[1369].end 7585.78221875
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 7582.96409375
transcript.pyannote[1370].end 7589.41034375
transcript.pyannote[1371].speaker SPEAKER_13
transcript.pyannote[1371].start 7589.52846875
transcript.pyannote[1371].end 7593.10596875
transcript.pyannote[1372].speaker SPEAKER_04
transcript.pyannote[1372].start 7591.41846875
transcript.pyannote[1372].end 7600.07534375
transcript.pyannote[1373].speaker SPEAKER_13
transcript.pyannote[1373].start 7599.43409375
transcript.pyannote[1373].end 7609.91346875
transcript.pyannote[1374].speaker SPEAKER_09
transcript.pyannote[1374].start 7606.67346875
transcript.pyannote[1374].end 7607.04471875
transcript.pyannote[1375].speaker SPEAKER_09
transcript.pyannote[1375].start 7607.07846875
transcript.pyannote[1375].end 7607.19659375
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 7609.96409375
transcript.pyannote[1376].end 7610.45346875
transcript.pyannote[1377].speaker SPEAKER_13
transcript.pyannote[1377].start 7610.85846875
transcript.pyannote[1377].end 7616.83221875
transcript.pyannote[1378].speaker SPEAKER_15
transcript.pyannote[1378].start 7616.98409375
transcript.pyannote[1378].end 7617.49034375
transcript.pyannote[1379].speaker SPEAKER_13
transcript.pyannote[1379].start 7617.49034375
transcript.pyannote[1379].end 7617.50721875
transcript.pyannote[1380].speaker SPEAKER_13
transcript.pyannote[1380].start 7617.69284375
transcript.pyannote[1380].end 7619.49846875
transcript.pyannote[1381].speaker SPEAKER_13
transcript.pyannote[1381].start 7619.86971875
transcript.pyannote[1381].end 7627.66596875
transcript.pyannote[1382].speaker SPEAKER_04
transcript.pyannote[1382].start 7627.41284375
transcript.pyannote[1382].end 7628.66159375
transcript.pyannote[1383].speaker SPEAKER_13
transcript.pyannote[1383].start 7627.93596875
transcript.pyannote[1383].end 7628.32409375
transcript.pyannote[1384].speaker SPEAKER_04
transcript.pyannote[1384].start 7628.88096875
transcript.pyannote[1384].end 7636.27221875
transcript.pyannote[1385].speaker SPEAKER_13
transcript.pyannote[1385].start 7629.38721875
transcript.pyannote[1385].end 7629.97784375
transcript.pyannote[1386].speaker SPEAKER_13
transcript.pyannote[1386].start 7633.99409375
transcript.pyannote[1386].end 7634.31471875
transcript.pyannote[1387].speaker SPEAKER_13
transcript.pyannote[1387].start 7636.30596875
transcript.pyannote[1387].end 7637.65596875
transcript.pyannote[1388].speaker SPEAKER_04
transcript.pyannote[1388].start 7636.76159375
transcript.pyannote[1388].end 7638.83721875
transcript.pyannote[1389].speaker SPEAKER_13
transcript.pyannote[1389].start 7638.92159375
transcript.pyannote[1389].end 7656.25221875
transcript.pyannote[1390].speaker SPEAKER_13
transcript.pyannote[1390].start 7656.42096875
transcript.pyannote[1390].end 7663.77846875
transcript.pyannote[1391].speaker SPEAKER_13
transcript.pyannote[1391].start 7664.23409375
transcript.pyannote[1391].end 7675.60784375
transcript.pyannote[1392].speaker SPEAKER_04
transcript.pyannote[1392].start 7673.39721875
transcript.pyannote[1392].end 7673.58284375
transcript.pyannote[1393].speaker SPEAKER_04
transcript.pyannote[1393].start 7674.47721875
transcript.pyannote[1393].end 7674.88221875
transcript.pyannote[1394].speaker SPEAKER_04
transcript.pyannote[1394].start 7675.57409375
transcript.pyannote[1394].end 7696.90409375
transcript.pyannote[1395].speaker SPEAKER_13
transcript.pyannote[1395].start 7678.13909375
transcript.pyannote[1395].end 7678.51034375
transcript.pyannote[1396].speaker SPEAKER_13
transcript.pyannote[1396].start 7683.97784375
transcript.pyannote[1396].end 7683.99471875
transcript.pyannote[1397].speaker SPEAKER_01
transcript.pyannote[1397].start 7683.99471875
transcript.pyannote[1397].end 7684.16346875
transcript.pyannote[1398].speaker SPEAKER_13
transcript.pyannote[1398].start 7684.16346875
transcript.pyannote[1398].end 7684.21409375
transcript.pyannote[1399].speaker SPEAKER_13
transcript.pyannote[1399].start 7696.68471875
transcript.pyannote[1399].end 7700.07659375
transcript.pyannote[1400].speaker SPEAKER_04
transcript.pyannote[1400].start 7698.59159375
transcript.pyannote[1400].end 7707.18096875
transcript.pyannote[1401].speaker SPEAKER_09
transcript.pyannote[1401].start 7707.18096875
transcript.pyannote[1401].end 7707.31596875
transcript.pyannote[1402].speaker SPEAKER_04
transcript.pyannote[1402].start 7707.31596875
transcript.pyannote[1402].end 7719.90471875
transcript.pyannote[1403].speaker SPEAKER_09
transcript.pyannote[1403].start 7707.85596875
transcript.pyannote[1403].end 7708.39596875
transcript.pyannote[1404].speaker SPEAKER_09
transcript.pyannote[1404].start 7709.81346875
transcript.pyannote[1404].end 7711.39971875
transcript.pyannote[1405].speaker SPEAKER_13
transcript.pyannote[1405].start 7716.02346875
transcript.pyannote[1405].end 7717.59284375
transcript.pyannote[1406].speaker SPEAKER_13
transcript.pyannote[1406].start 7719.90471875
transcript.pyannote[1406].end 7722.94221875
transcript.pyannote[1407].speaker SPEAKER_04
transcript.pyannote[1407].start 7722.82409375
transcript.pyannote[1407].end 7723.11096875
transcript.pyannote[1408].speaker SPEAKER_13
transcript.pyannote[1408].start 7723.11096875
transcript.pyannote[1408].end 7729.21971875
transcript.pyannote[1409].speaker SPEAKER_04
transcript.pyannote[1409].start 7723.12784375
transcript.pyannote[1409].end 7723.21221875
transcript.pyannote[1410].speaker SPEAKER_04
transcript.pyannote[1410].start 7723.60034375
transcript.pyannote[1410].end 7727.76846875
transcript.pyannote[1411].speaker SPEAKER_04
transcript.pyannote[1411].start 7729.16909375
transcript.pyannote[1411].end 7731.07596875
transcript.pyannote[1412].speaker SPEAKER_13
transcript.pyannote[1412].start 7731.07596875
transcript.pyannote[1412].end 7732.32471875
transcript.pyannote[1413].speaker SPEAKER_04
transcript.pyannote[1413].start 7731.76784375
transcript.pyannote[1413].end 7737.89346875
transcript.pyannote[1414].speaker SPEAKER_13
transcript.pyannote[1414].start 7737.89346875
transcript.pyannote[1414].end 7738.38284375
transcript.pyannote[1415].speaker SPEAKER_04
transcript.pyannote[1415].start 7738.12971875
transcript.pyannote[1415].end 7741.50471875
transcript.pyannote[1416].speaker SPEAKER_13
transcript.pyannote[1416].start 7741.50471875
transcript.pyannote[1416].end 7747.39409375
transcript.pyannote[1417].speaker SPEAKER_13
transcript.pyannote[1417].start 7747.68096875
transcript.pyannote[1417].end 7751.62971875
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 7752.22034375
transcript.pyannote[1418].end 7759.96596875
transcript.pyannote[1419].speaker SPEAKER_04
transcript.pyannote[1419].start 7760.32034375
transcript.pyannote[1419].end 7776.21659375
transcript.pyannote[1420].speaker SPEAKER_04
transcript.pyannote[1420].start 7776.41909375
transcript.pyannote[1420].end 7781.97096875
transcript.pyannote[1421].speaker SPEAKER_13
transcript.pyannote[1421].start 7781.16096875
transcript.pyannote[1421].end 7783.23659375
transcript.pyannote[1422].speaker SPEAKER_04
transcript.pyannote[1422].start 7782.08909375
transcript.pyannote[1422].end 7793.42909375
transcript.pyannote[1423].speaker SPEAKER_13
transcript.pyannote[1423].start 7784.77221875
transcript.pyannote[1423].end 7786.30784375
transcript.pyannote[1424].speaker SPEAKER_13
transcript.pyannote[1424].start 7791.48846875
transcript.pyannote[1424].end 7797.76596875
transcript.pyannote[1425].speaker SPEAKER_04
transcript.pyannote[1425].start 7796.63534375
transcript.pyannote[1425].end 7808.53221875
transcript.pyannote[1426].speaker SPEAKER_13
transcript.pyannote[1426].start 7805.41034375
transcript.pyannote[1426].end 7805.69721875
transcript.pyannote[1427].speaker SPEAKER_13
transcript.pyannote[1427].start 7807.06409375
transcript.pyannote[1427].end 7810.77659375
transcript.pyannote[1428].speaker SPEAKER_04
transcript.pyannote[1428].start 7811.63721875
transcript.pyannote[1428].end 7820.32784375
transcript.pyannote[1429].speaker SPEAKER_11
transcript.pyannote[1429].start 7814.67471875
transcript.pyannote[1429].end 7814.72534375
transcript.pyannote[1430].speaker SPEAKER_13
transcript.pyannote[1430].start 7814.72534375
transcript.pyannote[1430].end 7814.92784375
transcript.pyannote[1431].speaker SPEAKER_11
transcript.pyannote[1431].start 7814.92784375
transcript.pyannote[1431].end 7814.97846875
transcript.pyannote[1432].speaker SPEAKER_11
transcript.pyannote[1432].start 7820.22659375
transcript.pyannote[1432].end 7820.31096875
transcript.pyannote[1433].speaker SPEAKER_11
transcript.pyannote[1433].start 7820.32784375
transcript.pyannote[1433].end 7820.51346875
transcript.pyannote[1434].speaker SPEAKER_04
transcript.pyannote[1434].start 7820.51346875
transcript.pyannote[1434].end 7827.51659375
transcript.pyannote[1435].speaker SPEAKER_11
transcript.pyannote[1435].start 7820.56409375
transcript.pyannote[1435].end 7820.76659375
transcript.pyannote[1436].speaker SPEAKER_09
transcript.pyannote[1436].start 7824.17534375
transcript.pyannote[1436].end 7824.25971875
transcript.pyannote[1437].speaker SPEAKER_09
transcript.pyannote[1437].start 7827.51659375
transcript.pyannote[1437].end 7827.88784375
transcript.pyannote[1438].speaker SPEAKER_04
transcript.pyannote[1438].start 7827.88784375
transcript.pyannote[1438].end 7833.42284375
transcript.pyannote[1439].speaker SPEAKER_13
transcript.pyannote[1439].start 7827.90471875
transcript.pyannote[1439].end 7827.92159375
transcript.pyannote[1440].speaker SPEAKER_09
transcript.pyannote[1440].start 7827.92159375
transcript.pyannote[1440].end 7828.02284375
transcript.pyannote[1441].speaker SPEAKER_13
transcript.pyannote[1441].start 7828.02284375
transcript.pyannote[1441].end 7828.14096875
transcript.pyannote[1442].speaker SPEAKER_09
transcript.pyannote[1442].start 7828.14096875
transcript.pyannote[1442].end 7828.17471875
transcript.pyannote[1443].speaker SPEAKER_13
transcript.pyannote[1443].start 7828.17471875
transcript.pyannote[1443].end 7828.51221875
transcript.pyannote[1444].speaker SPEAKER_09
transcript.pyannote[1444].start 7828.51221875
transcript.pyannote[1444].end 7828.96784375
transcript.pyannote[1445].speaker SPEAKER_13
transcript.pyannote[1445].start 7828.96784375
transcript.pyannote[1445].end 7829.37284375
transcript.pyannote[1446].speaker SPEAKER_09
transcript.pyannote[1446].start 7829.37284375
transcript.pyannote[1446].end 7829.38971875
transcript.pyannote[1447].speaker SPEAKER_13
transcript.pyannote[1447].start 7832.47784375
transcript.pyannote[1447].end 7848.08721875
transcript.pyannote[1448].speaker SPEAKER_04
transcript.pyannote[1448].start 7837.42221875
transcript.pyannote[1448].end 7837.97909375
transcript.pyannote[1449].speaker SPEAKER_14
transcript.pyannote[1449].start 7837.97909375
transcript.pyannote[1449].end 7838.02971875
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 7839.34596875
transcript.pyannote[1450].end 7839.39659375
transcript.pyannote[1451].speaker SPEAKER_14
transcript.pyannote[1451].start 7839.39659375
transcript.pyannote[1451].end 7839.66659375
transcript.pyannote[1452].speaker SPEAKER_04
transcript.pyannote[1452].start 7847.12534375
transcript.pyannote[1452].end 7853.80784375
transcript.pyannote[1453].speaker SPEAKER_13
transcript.pyannote[1453].start 7848.74534375
transcript.pyannote[1453].end 7851.05721875
transcript.pyannote[1454].speaker SPEAKER_04
transcript.pyannote[1454].start 7853.99346875
transcript.pyannote[1454].end 7861.62096875
transcript.pyannote[1455].speaker SPEAKER_13
transcript.pyannote[1455].start 7858.11096875
transcript.pyannote[1455].end 7858.51596875
transcript.pyannote[1456].speaker SPEAKER_13
transcript.pyannote[1456].start 7861.99221875
transcript.pyannote[1456].end 7863.76409375
transcript.pyannote[1457].speaker SPEAKER_04
transcript.pyannote[1457].start 7863.62909375
transcript.pyannote[1457].end 7872.11721875
transcript.pyannote[1458].speaker SPEAKER_13
transcript.pyannote[1458].start 7866.53159375
transcript.pyannote[1458].end 7866.83534375
transcript.pyannote[1459].speaker SPEAKER_13
transcript.pyannote[1459].start 7871.32409375
transcript.pyannote[1459].end 7876.62284375
transcript.pyannote[1460].speaker SPEAKER_04
transcript.pyannote[1460].start 7873.78784375
transcript.pyannote[1460].end 7898.20596875
transcript.pyannote[1461].speaker SPEAKER_13
transcript.pyannote[1461].start 7877.83784375
transcript.pyannote[1461].end 7878.42846875
transcript.pyannote[1462].speaker SPEAKER_09
transcript.pyannote[1462].start 7879.47471875
transcript.pyannote[1462].end 7879.67721875
transcript.pyannote[1463].speaker SPEAKER_09
transcript.pyannote[1463].start 7879.89659375
transcript.pyannote[1463].end 7880.01471875
transcript.pyannote[1464].speaker SPEAKER_13
transcript.pyannote[1464].start 7880.01471875
transcript.pyannote[1464].end 7880.03159375
transcript.pyannote[1465].speaker SPEAKER_00
transcript.pyannote[1465].start 7888.11471875
transcript.pyannote[1465].end 7888.24971875
transcript.pyannote[1466].speaker SPEAKER_00
transcript.pyannote[1466].start 7888.33409375
transcript.pyannote[1466].end 7888.36784375
transcript.pyannote[1467].speaker SPEAKER_13
transcript.pyannote[1467].start 7898.20596875
transcript.pyannote[1467].end 7921.20659375
transcript.pyannote[1468].speaker SPEAKER_09
transcript.pyannote[1468].start 7921.20659375
transcript.pyannote[1468].end 7921.37534375
transcript.pyannote[1469].speaker SPEAKER_13
transcript.pyannote[1469].start 7921.37534375
transcript.pyannote[1469].end 7927.82159375
transcript.pyannote[1470].speaker SPEAKER_13
transcript.pyannote[1470].start 7927.93971875
transcript.pyannote[1470].end 7929.37409375
transcript.pyannote[1471].speaker SPEAKER_13
transcript.pyannote[1471].start 7929.55971875
transcript.pyannote[1471].end 7951.81784375
transcript.pyannote[1472].speaker SPEAKER_13
transcript.pyannote[1472].start 7951.96971875
transcript.pyannote[1472].end 7955.78346875
transcript.pyannote[1473].speaker SPEAKER_04
transcript.pyannote[1473].start 7956.10409375
transcript.pyannote[1473].end 7956.84659375
transcript.pyannote[1474].speaker SPEAKER_13
transcript.pyannote[1474].start 7956.84659375
transcript.pyannote[1474].end 7958.75346875
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 7958.48346875
transcript.pyannote[1475].end 7987.52534375
transcript.pyannote[1476].speaker SPEAKER_13
transcript.pyannote[1476].start 7960.47471875
transcript.pyannote[1476].end 7960.72784375
transcript.pyannote[1477].speaker SPEAKER_13
transcript.pyannote[1477].start 7969.43534375
transcript.pyannote[1477].end 7969.72221875
transcript.pyannote[1478].speaker SPEAKER_13
transcript.pyannote[1478].start 7970.68409375
transcript.pyannote[1478].end 7970.70096875
transcript.pyannote[1479].speaker SPEAKER_13
transcript.pyannote[1479].start 7970.93721875
transcript.pyannote[1479].end 7975.17284375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 7988.03159375
transcript.pyannote[1480].end 8000.78909375
transcript.pyannote[1481].speaker SPEAKER_13
transcript.pyannote[1481].start 8000.26596875
transcript.pyannote[1481].end 8006.79659375
transcript.pyannote[1482].speaker SPEAKER_04
transcript.pyannote[1482].start 8004.16409375
transcript.pyannote[1482].end 8024.31284375
transcript.pyannote[1483].speaker SPEAKER_13
transcript.pyannote[1483].start 8008.77096875
transcript.pyannote[1483].end 8009.59784375
transcript.pyannote[1484].speaker SPEAKER_13
transcript.pyannote[1484].start 8010.08721875
transcript.pyannote[1484].end 8011.04909375
transcript.pyannote[1485].speaker SPEAKER_13
transcript.pyannote[1485].start 8024.31284375
transcript.pyannote[1485].end 8024.39721875
transcript.pyannote[1486].speaker SPEAKER_04
transcript.pyannote[1486].start 8024.39721875
transcript.pyannote[1486].end 8024.53221875
transcript.pyannote[1487].speaker SPEAKER_13
transcript.pyannote[1487].start 8024.41409375
transcript.pyannote[1487].end 8028.97034375
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 8024.54909375
transcript.pyannote[1488].end 8032.96971875
transcript.pyannote[1489].speaker SPEAKER_09
transcript.pyannote[1489].start 8028.97034375
transcript.pyannote[1489].end 8029.03784375
transcript.pyannote[1490].speaker SPEAKER_13
transcript.pyannote[1490].start 8029.03784375
transcript.pyannote[1490].end 8030.05034375
transcript.pyannote[1491].speaker SPEAKER_09
transcript.pyannote[1491].start 8032.96971875
transcript.pyannote[1491].end 8033.50971875
transcript.pyannote[1492].speaker SPEAKER_04
transcript.pyannote[1492].start 8033.22284375
transcript.pyannote[1492].end 8043.36471875
transcript.pyannote[1493].speaker SPEAKER_09
transcript.pyannote[1493].start 8037.10409375
transcript.pyannote[1493].end 8037.12096875
transcript.pyannote[1494].speaker SPEAKER_13
transcript.pyannote[1494].start 8037.12096875
transcript.pyannote[1494].end 8038.23471875
transcript.pyannote[1495].speaker SPEAKER_13
transcript.pyannote[1495].start 8041.22159375
transcript.pyannote[1495].end 8041.60971875
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 8043.44909375
transcript.pyannote[1496].end 8043.46596875
transcript.pyannote[1497].speaker SPEAKER_13
transcript.pyannote[1497].start 8043.46596875
transcript.pyannote[1497].end 8046.16596875
transcript.pyannote[1498].speaker SPEAKER_04
transcript.pyannote[1498].start 8043.90471875
transcript.pyannote[1498].end 8044.96784375
transcript.pyannote[1499].speaker SPEAKER_06
transcript.pyannote[1499].start 8044.96784375
transcript.pyannote[1499].end 8049.37221875
transcript.pyannote[1500].speaker SPEAKER_04
transcript.pyannote[1500].start 8046.16596875
transcript.pyannote[1500].end 8046.19971875
transcript.pyannote[1501].speaker SPEAKER_19
transcript.pyannote[1501].start 8058.29909375
transcript.pyannote[1501].end 8060.89784375
transcript.pyannote[1502].speaker SPEAKER_06
transcript.pyannote[1502].start 8061.10034375
transcript.pyannote[1502].end 8062.26471875
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 8066.36534375
transcript.pyannote[1503].end 8068.84596875
transcript.pyannote[1504].speaker SPEAKER_19
transcript.pyannote[1504].start 8068.84596875
transcript.pyannote[1504].end 8068.91346875
transcript.pyannote[1505].speaker SPEAKER_19
transcript.pyannote[1505].start 8068.96409375
transcript.pyannote[1505].end 8069.09909375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 8069.09909375
transcript.pyannote[1506].end 8069.97659375
transcript.pyannote[1507].speaker SPEAKER_19
transcript.pyannote[1507].start 8069.97659375
transcript.pyannote[1507].end 8078.88659375
transcript.pyannote[1508].speaker SPEAKER_19
transcript.pyannote[1508].start 8078.95409375
transcript.pyannote[1508].end 8080.97909375
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 8080.97909375
transcript.pyannote[1509].end 8081.18159375
transcript.pyannote[1510].speaker SPEAKER_19
transcript.pyannote[1510].start 8081.18159375
transcript.pyannote[1510].end 8082.86909375
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 8083.13909375
transcript.pyannote[1511].end 8083.17284375
transcript.pyannote[1512].speaker SPEAKER_19
transcript.pyannote[1512].start 8083.17284375
transcript.pyannote[1512].end 8084.03346875
transcript.pyannote[1513].speaker SPEAKER_04
transcript.pyannote[1513].start 8084.03346875
transcript.pyannote[1513].end 8086.09221875
transcript.pyannote[1514].speaker SPEAKER_04
transcript.pyannote[1514].start 8086.73346875
transcript.pyannote[1514].end 8091.64409375
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 8091.84659375
transcript.pyannote[1515].end 8095.96409375
transcript.pyannote[1516].speaker SPEAKER_19
transcript.pyannote[1516].start 8092.40346875
transcript.pyannote[1516].end 8093.53409375
transcript.pyannote[1517].speaker SPEAKER_19
transcript.pyannote[1517].start 8094.85034375
transcript.pyannote[1517].end 8094.98534375
transcript.pyannote[1518].speaker SPEAKER_19
transcript.pyannote[1518].start 8095.96409375
transcript.pyannote[1518].end 8100.01409375
transcript.pyannote[1519].speaker SPEAKER_19
transcript.pyannote[1519].start 8100.48659375
transcript.pyannote[1519].end 8100.89159375
transcript.pyannote[1520].speaker SPEAKER_19
transcript.pyannote[1520].start 8101.88721875
transcript.pyannote[1520].end 8104.89096875
transcript.pyannote[1521].speaker SPEAKER_19
transcript.pyannote[1521].start 8105.17784375
transcript.pyannote[1521].end 8105.41409375
transcript.pyannote[1522].speaker SPEAKER_04
transcript.pyannote[1522].start 8105.41409375
transcript.pyannote[1522].end 8105.43096875
transcript.pyannote[1523].speaker SPEAKER_19
transcript.pyannote[1523].start 8105.78534375
transcript.pyannote[1523].end 8105.81909375
transcript.pyannote[1524].speaker SPEAKER_04
transcript.pyannote[1524].start 8105.81909375
transcript.pyannote[1524].end 8105.90346875
transcript.pyannote[1525].speaker SPEAKER_19
transcript.pyannote[1525].start 8106.17346875
transcript.pyannote[1525].end 8106.39284375
transcript.pyannote[1526].speaker SPEAKER_04
transcript.pyannote[1526].start 8106.39284375
transcript.pyannote[1526].end 8106.42659375
transcript.pyannote[1527].speaker SPEAKER_19
transcript.pyannote[1527].start 8107.10159375
transcript.pyannote[1527].end 8107.11846875
transcript.pyannote[1528].speaker SPEAKER_04
transcript.pyannote[1528].start 8107.11846875
transcript.pyannote[1528].end 8108.04659375
transcript.pyannote[1529].speaker SPEAKER_04
transcript.pyannote[1529].start 8108.48534375
transcript.pyannote[1529].end 8109.43034375
transcript.pyannote[1530].speaker SPEAKER_04
transcript.pyannote[1530].start 8109.86909375
transcript.pyannote[1530].end 8111.84346875
transcript.pyannote[1531].speaker SPEAKER_04
transcript.pyannote[1531].start 8112.68721875
transcript.pyannote[1531].end 8113.86846875
transcript.pyannote[1532].speaker SPEAKER_04
transcript.pyannote[1532].start 8114.23971875
transcript.pyannote[1532].end 8118.05346875
transcript.pyannote[1533].speaker SPEAKER_04
transcript.pyannote[1533].start 8118.17159375
transcript.pyannote[1533].end 8120.17971875
transcript.pyannote[1534].speaker SPEAKER_04
transcript.pyannote[1534].start 8120.26409375
transcript.pyannote[1534].end 8121.27659375
transcript.pyannote[1535].speaker SPEAKER_04
transcript.pyannote[1535].start 8121.37784375
transcript.pyannote[1535].end 8126.00159375
transcript.pyannote[1536].speaker SPEAKER_15
transcript.pyannote[1536].start 8126.06909375
transcript.pyannote[1536].end 8126.47409375
transcript.pyannote[1537].speaker SPEAKER_04
transcript.pyannote[1537].start 8126.52471875
transcript.pyannote[1537].end 8128.02659375
transcript.pyannote[1538].speaker SPEAKER_19
transcript.pyannote[1538].start 8128.02659375
transcript.pyannote[1538].end 8129.96721875
transcript.pyannote[1539].speaker SPEAKER_04
transcript.pyannote[1539].start 8129.96721875
transcript.pyannote[1539].end 8130.60846875
transcript.pyannote[1540].speaker SPEAKER_19
transcript.pyannote[1540].start 8131.24971875
transcript.pyannote[1540].end 8131.26659375
transcript.pyannote[1541].speaker SPEAKER_04
transcript.pyannote[1541].start 8131.26659375
transcript.pyannote[1541].end 8139.88971875
transcript.pyannote[1542].speaker SPEAKER_03
transcript.pyannote[1542].start 8139.16409375
transcript.pyannote[1542].end 8139.41721875
transcript.pyannote[1543].speaker SPEAKER_15
transcript.pyannote[1543].start 8139.41721875
transcript.pyannote[1543].end 8139.56909375
transcript.pyannote[1544].speaker SPEAKER_03
transcript.pyannote[1544].start 8139.56909375
transcript.pyannote[1544].end 8139.58596875
transcript.pyannote[1545].speaker SPEAKER_04
transcript.pyannote[1545].start 8140.27784375
transcript.pyannote[1545].end 8143.19721875
transcript.pyannote[1546].speaker SPEAKER_03
transcript.pyannote[1546].start 8140.31159375
transcript.pyannote[1546].end 8140.75034375
transcript.pyannote[1547].speaker SPEAKER_04
transcript.pyannote[1547].start 8144.29409375
transcript.pyannote[1547].end 8152.20846875
transcript.pyannote[1548].speaker SPEAKER_19
transcript.pyannote[1548].start 8152.20846875
transcript.pyannote[1548].end 8157.79409375
transcript.pyannote[1549].speaker SPEAKER_19
transcript.pyannote[1549].start 8158.33409375
transcript.pyannote[1549].end 8159.48159375
transcript.pyannote[1550].speaker SPEAKER_19
transcript.pyannote[1550].start 8160.20721875
transcript.pyannote[1550].end 8168.81346875
transcript.pyannote[1551].speaker SPEAKER_15
transcript.pyannote[1551].start 8163.10971875
transcript.pyannote[1551].end 8163.31221875
transcript.pyannote[1552].speaker SPEAKER_19
transcript.pyannote[1552].start 8169.75846875
transcript.pyannote[1552].end 8171.96909375
transcript.pyannote[1553].speaker SPEAKER_04
transcript.pyannote[1553].start 8171.96909375
transcript.pyannote[1553].end 8172.08721875
transcript.pyannote[1554].speaker SPEAKER_19
transcript.pyannote[1554].start 8172.08721875
transcript.pyannote[1554].end 8172.40784375
transcript.pyannote[1555].speaker SPEAKER_19
transcript.pyannote[1555].start 8172.84659375
transcript.pyannote[1555].end 8174.33159375
transcript.pyannote[1556].speaker SPEAKER_19
transcript.pyannote[1556].start 8174.78721875
transcript.pyannote[1556].end 8176.77846875
transcript.pyannote[1557].speaker SPEAKER_19
transcript.pyannote[1557].start 8176.96409375
transcript.pyannote[1557].end 8177.11596875
transcript.pyannote[1558].speaker SPEAKER_15
transcript.pyannote[1558].start 8177.11596875
transcript.pyannote[1558].end 8177.25096875
transcript.pyannote[1559].speaker SPEAKER_03
transcript.pyannote[1559].start 8177.25096875
transcript.pyannote[1559].end 8177.26784375
transcript.pyannote[1560].speaker SPEAKER_19
transcript.pyannote[1560].start 8178.01034375
transcript.pyannote[1560].end 8179.49534375
transcript.pyannote[1561].speaker SPEAKER_03
transcript.pyannote[1561].start 8179.49534375
transcript.pyannote[1561].end 8179.54596875
transcript.pyannote[1562].speaker SPEAKER_03
transcript.pyannote[1562].start 8179.69784375
transcript.pyannote[1562].end 8179.74846875
transcript.pyannote[1563].speaker SPEAKER_19
transcript.pyannote[1563].start 8179.74846875
transcript.pyannote[1563].end 8181.25034375
transcript.pyannote[1564].speaker SPEAKER_15
transcript.pyannote[1564].start 8181.25034375
transcript.pyannote[1564].end 8181.46971875
transcript.pyannote[1565].speaker SPEAKER_03
transcript.pyannote[1565].start 8181.46971875
transcript.pyannote[1565].end 8181.48659375
transcript.pyannote[1566].speaker SPEAKER_03
transcript.pyannote[1566].start 8181.57096875
transcript.pyannote[1566].end 8181.62159375
transcript.pyannote[1567].speaker SPEAKER_19
transcript.pyannote[1567].start 8181.62159375
transcript.pyannote[1567].end 8181.97596875
transcript.pyannote[1568].speaker SPEAKER_03
transcript.pyannote[1568].start 8181.97596875
transcript.pyannote[1568].end 8182.02659375
transcript.pyannote[1569].speaker SPEAKER_19
transcript.pyannote[1569].start 8182.02659375
transcript.pyannote[1569].end 8182.41471875
transcript.pyannote[1570].speaker SPEAKER_03
transcript.pyannote[1570].start 8182.41471875
transcript.pyannote[1570].end 8182.54971875
transcript.pyannote[1571].speaker SPEAKER_03
transcript.pyannote[1571].start 8182.76909375
transcript.pyannote[1571].end 8182.81971875
transcript.pyannote[1572].speaker SPEAKER_19
transcript.pyannote[1572].start 8182.81971875
transcript.pyannote[1572].end 8182.97159375
transcript.pyannote[1573].speaker SPEAKER_03
transcript.pyannote[1573].start 8182.97159375
transcript.pyannote[1573].end 8183.96721875
transcript.pyannote[1574].speaker SPEAKER_19
transcript.pyannote[1574].start 8183.96721875
transcript.pyannote[1574].end 8184.96284375
transcript.pyannote[1575].speaker SPEAKER_03
transcript.pyannote[1575].start 8184.96284375
transcript.pyannote[1575].end 8185.03034375
transcript.pyannote[1576].speaker SPEAKER_04
transcript.pyannote[1576].start 8185.03034375
transcript.pyannote[1576].end 8186.27909375
transcript.pyannote[1577].speaker SPEAKER_15
transcript.pyannote[1577].start 8186.27909375
transcript.pyannote[1577].end 8186.58284375
transcript.pyannote[1578].speaker SPEAKER_19
transcript.pyannote[1578].start 8186.80221875
transcript.pyannote[1578].end 8186.81909375
transcript.pyannote[1579].speaker SPEAKER_04
transcript.pyannote[1579].start 8186.81909375
transcript.pyannote[1579].end 8191.61159375
transcript.pyannote[1580].speaker SPEAKER_04
transcript.pyannote[1580].start 8192.20221875
transcript.pyannote[1580].end 8200.77471875
transcript.pyannote[1581].speaker SPEAKER_15
transcript.pyannote[1581].start 8193.58596875
transcript.pyannote[1581].end 8193.75471875
transcript.pyannote[1582].speaker SPEAKER_04
transcript.pyannote[1582].start 8201.28096875
transcript.pyannote[1582].end 8202.34409375
transcript.pyannote[1583].speaker SPEAKER_04
transcript.pyannote[1583].start 8202.86721875
transcript.pyannote[1583].end 8205.97221875
transcript.pyannote[1584].speaker SPEAKER_15
transcript.pyannote[1584].start 8205.97221875
transcript.pyannote[1584].end 8207.32221875
transcript.pyannote[1585].speaker SPEAKER_04
transcript.pyannote[1585].start 8206.47846875
transcript.pyannote[1585].end 8211.05159375
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 8211.59159375
transcript.pyannote[1586].end 8214.00471875
transcript.pyannote[1587].speaker SPEAKER_19
transcript.pyannote[1587].start 8211.74346875
transcript.pyannote[1587].end 8212.51971875
transcript.pyannote[1588].speaker SPEAKER_19
transcript.pyannote[1588].start 8214.00471875
transcript.pyannote[1588].end 8214.29159375
transcript.pyannote[1589].speaker SPEAKER_04
transcript.pyannote[1589].start 8214.29159375
transcript.pyannote[1589].end 8224.28159375
transcript.pyannote[1590].speaker SPEAKER_04
transcript.pyannote[1590].start 8224.63596875
transcript.pyannote[1590].end 8233.86659375
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 8234.32221875
transcript.pyannote[1591].end 8238.91221875
transcript.pyannote[1592].speaker SPEAKER_04
transcript.pyannote[1592].start 8239.51971875
transcript.pyannote[1592].end 8241.59534375
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 8242.69221875
transcript.pyannote[1593].end 8254.23471875
transcript.pyannote[1594].speaker SPEAKER_19
transcript.pyannote[1594].start 8244.31221875
transcript.pyannote[1594].end 8246.20221875
transcript.pyannote[1595].speaker SPEAKER_19
transcript.pyannote[1595].start 8246.99534375
transcript.pyannote[1595].end 8247.14721875
transcript.pyannote[1596].speaker SPEAKER_04
transcript.pyannote[1596].start 8255.43284375
transcript.pyannote[1596].end 8265.64221875
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 8265.94596875
transcript.pyannote[1597].end 8268.30846875
transcript.pyannote[1598].speaker SPEAKER_04
transcript.pyannote[1598].start 8268.76409375
transcript.pyannote[1598].end 8270.99159375
transcript.pyannote[1599].speaker SPEAKER_04
transcript.pyannote[1599].start 8271.34596875
transcript.pyannote[1599].end 8273.03346875
transcript.pyannote[1600].speaker SPEAKER_04
transcript.pyannote[1600].start 8273.84346875
transcript.pyannote[1600].end 8279.63159375
transcript.pyannote[1601].speaker SPEAKER_04
transcript.pyannote[1601].start 8280.01971875
transcript.pyannote[1601].end 8281.06596875
transcript.pyannote[1602].speaker SPEAKER_04
transcript.pyannote[1602].start 8281.15034375
transcript.pyannote[1602].end 8292.91221875
transcript.pyannote[1603].speaker SPEAKER_04
transcript.pyannote[1603].start 8293.33409375
transcript.pyannote[1603].end 8306.83409375
transcript.pyannote[1604].speaker SPEAKER_04
transcript.pyannote[1604].start 8307.49221875
transcript.pyannote[1604].end 8336.85471875
transcript.pyannote[1605].speaker SPEAKER_10
transcript.pyannote[1605].start 8331.82596875
transcript.pyannote[1605].end 8333.15909375
transcript.pyannote[1606].speaker SPEAKER_04
transcript.pyannote[1606].start 8337.04034375
transcript.pyannote[1606].end 8399.44409375
transcript.pyannote[1607].speaker SPEAKER_19
transcript.pyannote[1607].start 8356.76721875
transcript.pyannote[1607].end 8361.03659375
transcript.pyannote[1608].speaker SPEAKER_14
transcript.pyannote[1608].start 8361.03659375
transcript.pyannote[1608].end 8362.26846875
transcript.pyannote[1609].speaker SPEAKER_14
transcript.pyannote[1609].start 8363.85471875
transcript.pyannote[1609].end 8364.22596875
transcript.pyannote[1610].speaker SPEAKER_19
transcript.pyannote[1610].start 8376.57846875
transcript.pyannote[1610].end 8377.15221875
transcript.pyannote[1611].speaker SPEAKER_19
transcript.pyannote[1611].start 8377.59096875
transcript.pyannote[1611].end 8378.16471875
transcript.pyannote[1612].speaker SPEAKER_19
transcript.pyannote[1612].start 8380.05471875
transcript.pyannote[1612].end 8382.65346875
transcript.pyannote[1613].speaker SPEAKER_04
transcript.pyannote[1613].start 8399.76471875
transcript.pyannote[1613].end 8400.10221875
transcript.pyannote[1614].speaker SPEAKER_04
transcript.pyannote[1614].start 8400.27096875
transcript.pyannote[1614].end 8401.97534375
transcript.pyannote[1615].speaker SPEAKER_19
transcript.pyannote[1615].start 8401.97534375
transcript.pyannote[1615].end 8402.02596875
transcript.pyannote[1616].speaker SPEAKER_04
transcript.pyannote[1616].start 8402.02596875
transcript.pyannote[1616].end 8402.97096875
transcript.pyannote[1617].speaker SPEAKER_19
transcript.pyannote[1617].start 8402.97096875
transcript.pyannote[1617].end 8403.03846875
transcript.pyannote[1618].speaker SPEAKER_04
transcript.pyannote[1618].start 8403.03846875
transcript.pyannote[1618].end 8403.96659375
transcript.pyannote[1619].speaker SPEAKER_19
transcript.pyannote[1619].start 8403.96659375
transcript.pyannote[1619].end 8404.03409375
transcript.pyannote[1620].speaker SPEAKER_04
transcript.pyannote[1620].start 8404.03409375
transcript.pyannote[1620].end 8404.96221875
transcript.pyannote[1621].speaker SPEAKER_19
transcript.pyannote[1621].start 8404.96221875
transcript.pyannote[1621].end 8405.02971875
transcript.pyannote[1622].speaker SPEAKER_04
transcript.pyannote[1622].start 8405.02971875
transcript.pyannote[1622].end 8405.97471875
transcript.pyannote[1623].speaker SPEAKER_19
transcript.pyannote[1623].start 8405.97471875
transcript.pyannote[1623].end 8406.02534375
transcript.pyannote[1624].speaker SPEAKER_04
transcript.pyannote[1624].start 8406.02534375
transcript.pyannote[1624].end 8409.83909375
transcript.pyannote[1625].speaker SPEAKER_19
transcript.pyannote[1625].start 8409.07971875
transcript.pyannote[1625].end 8411.12159375
transcript.pyannote[1626].speaker SPEAKER_04
transcript.pyannote[1626].start 8409.90659375
transcript.pyannote[1626].end 8409.92346875
transcript.pyannote[1627].speaker SPEAKER_04
transcript.pyannote[1627].start 8409.99096875
transcript.pyannote[1627].end 8417.88846875
transcript.pyannote[1628].speaker SPEAKER_04
transcript.pyannote[1628].start 8418.29346875
transcript.pyannote[1628].end 8437.09221875
transcript.pyannote[1629].speaker SPEAKER_19
transcript.pyannote[1629].start 8435.03346875
transcript.pyannote[1629].end 8451.03096875
transcript.pyannote[1630].speaker SPEAKER_04
transcript.pyannote[1630].start 8445.25971875
transcript.pyannote[1630].end 8445.73221875
transcript.pyannote[1631].speaker SPEAKER_04
transcript.pyannote[1631].start 8451.03096875
transcript.pyannote[1631].end 8468.17596875
transcript.pyannote[1632].speaker SPEAKER_19
transcript.pyannote[1632].start 8454.69284375
transcript.pyannote[1632].end 8454.82784375
transcript.pyannote[1633].speaker SPEAKER_01
transcript.pyannote[1633].start 8457.24096875
transcript.pyannote[1633].end 8458.27034375
transcript.pyannote[1634].speaker SPEAKER_01
transcript.pyannote[1634].start 8458.52346875
transcript.pyannote[1634].end 8459.78909375
transcript.pyannote[1635].speaker SPEAKER_04
transcript.pyannote[1635].start 8468.27721875
transcript.pyannote[1635].end 8475.97221875
transcript.pyannote[1636].speaker SPEAKER_09
transcript.pyannote[1636].start 8475.97221875
transcript.pyannote[1636].end 8476.12409375
transcript.pyannote[1637].speaker SPEAKER_04
transcript.pyannote[1637].start 8476.12409375
transcript.pyannote[1637].end 8477.77784375
transcript.pyannote[1638].speaker SPEAKER_09
transcript.pyannote[1638].start 8476.44471875
transcript.pyannote[1638].end 8476.79909375
transcript.pyannote[1639].speaker SPEAKER_04
transcript.pyannote[1639].start 8477.99721875
transcript.pyannote[1639].end 8479.22909375
transcript.pyannote[1640].speaker SPEAKER_04
transcript.pyannote[1640].start 8479.68471875
transcript.pyannote[1640].end 8481.76034375
transcript.pyannote[1641].speaker SPEAKER_19
transcript.pyannote[1641].start 8481.76034375
transcript.pyannote[1641].end 8481.81096875
transcript.pyannote[1642].speaker SPEAKER_04
transcript.pyannote[1642].start 8482.63784375
transcript.pyannote[1642].end 8482.97534375
transcript.pyannote[1643].speaker SPEAKER_19
transcript.pyannote[1643].start 8482.97534375
transcript.pyannote[1643].end 8483.02596875
transcript.pyannote[1644].speaker SPEAKER_04
transcript.pyannote[1644].start 8483.02596875
transcript.pyannote[1644].end 8483.58284375
transcript.pyannote[1645].speaker SPEAKER_19
transcript.pyannote[1645].start 8483.58284375
transcript.pyannote[1645].end 8483.65034375
transcript.pyannote[1646].speaker SPEAKER_19
transcript.pyannote[1646].start 8484.02159375
transcript.pyannote[1646].end 8484.08909375
transcript.pyannote[1647].speaker SPEAKER_04
transcript.pyannote[1647].start 8484.08909375
transcript.pyannote[1647].end 8484.96659375
transcript.pyannote[1648].speaker SPEAKER_19
transcript.pyannote[1648].start 8484.96659375
transcript.pyannote[1648].end 8485.03409375
transcript.pyannote[1649].speaker SPEAKER_04
transcript.pyannote[1649].start 8485.03409375
transcript.pyannote[1649].end 8485.69221875
transcript.pyannote[1650].speaker SPEAKER_19
transcript.pyannote[1650].start 8485.69221875
transcript.pyannote[1650].end 8486.02971875
transcript.pyannote[1651].speaker SPEAKER_04
transcript.pyannote[1651].start 8486.02971875
transcript.pyannote[1651].end 8486.97471875
transcript.pyannote[1652].speaker SPEAKER_19
transcript.pyannote[1652].start 8486.97471875
transcript.pyannote[1652].end 8489.21909375
transcript.pyannote[1653].speaker SPEAKER_04
transcript.pyannote[1653].start 8487.83534375
transcript.pyannote[1653].end 8520.16784375
transcript.pyannote[1654].speaker SPEAKER_19
transcript.pyannote[1654].start 8491.69971875
transcript.pyannote[1654].end 8491.81784375
transcript.pyannote[1655].speaker SPEAKER_19
transcript.pyannote[1655].start 8496.03659375
transcript.pyannote[1655].end 8496.05346875
transcript.pyannote[1656].speaker SPEAKER_19
transcript.pyannote[1656].start 8498.02784375
transcript.pyannote[1656].end 8498.36534375
transcript.pyannote[1657].speaker SPEAKER_19
transcript.pyannote[1657].start 8499.74909375
transcript.pyannote[1657].end 8500.30596875
transcript.pyannote[1658].speaker SPEAKER_19
transcript.pyannote[1658].start 8501.50409375
transcript.pyannote[1658].end 8505.06471875
transcript.pyannote[1659].speaker SPEAKER_00
transcript.pyannote[1659].start 8505.06471875
transcript.pyannote[1659].end 8505.14909375
transcript.pyannote[1660].speaker SPEAKER_04
transcript.pyannote[1660].start 8520.20159375
transcript.pyannote[1660].end 8524.97721875
transcript.pyannote[1661].speaker SPEAKER_19
transcript.pyannote[1661].start 8524.97721875
transcript.pyannote[1661].end 8529.04409375
transcript.pyannote[1662].speaker SPEAKER_19
transcript.pyannote[1662].start 8529.46596875
transcript.pyannote[1662].end 8535.20346875
transcript.pyannote[1663].speaker SPEAKER_15
transcript.pyannote[1663].start 8530.91721875
transcript.pyannote[1663].end 8531.23784375
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 8532.18284375
transcript.pyannote[1664].end 8535.74346875
transcript.pyannote[1665].speaker SPEAKER_19
transcript.pyannote[1665].start 8535.74346875
transcript.pyannote[1665].end 8543.03346875
transcript.pyannote[1666].speaker SPEAKER_15
transcript.pyannote[1666].start 8536.08096875
transcript.pyannote[1666].end 8536.11471875
transcript.pyannote[1667].speaker SPEAKER_04
transcript.pyannote[1667].start 8536.11471875
transcript.pyannote[1667].end 8536.23284375
transcript.pyannote[1668].speaker SPEAKER_15
transcript.pyannote[1668].start 8536.23284375
transcript.pyannote[1668].end 8536.26659375
transcript.pyannote[1669].speaker SPEAKER_04
transcript.pyannote[1669].start 8543.03346875
transcript.pyannote[1669].end 8546.27346875
transcript.pyannote[1670].speaker SPEAKER_19
transcript.pyannote[1670].start 8544.90659375
transcript.pyannote[1670].end 8546.84721875
transcript.pyannote[1671].speaker SPEAKER_04
transcript.pyannote[1671].start 8546.67846875
transcript.pyannote[1671].end 8554.96409375
transcript.pyannote[1672].speaker SPEAKER_19
transcript.pyannote[1672].start 8551.87596875
transcript.pyannote[1672].end 8552.29784375
transcript.pyannote[1673].speaker SPEAKER_19
transcript.pyannote[1673].start 8554.96409375
transcript.pyannote[1673].end 8563.03034375
transcript.pyannote[1674].speaker SPEAKER_04
transcript.pyannote[1674].start 8563.03034375
transcript.pyannote[1674].end 8569.93221875
transcript.pyannote[1675].speaker SPEAKER_09
transcript.pyannote[1675].start 8567.99159375
transcript.pyannote[1675].end 8568.00846875
transcript.pyannote[1676].speaker SPEAKER_04
transcript.pyannote[1676].start 8570.33721875
transcript.pyannote[1676].end 8577.96471875
transcript.pyannote[1677].speaker SPEAKER_19
transcript.pyannote[1677].start 8574.18471875
transcript.pyannote[1677].end 8574.72471875
transcript.pyannote[1678].speaker SPEAKER_19
transcript.pyannote[1678].start 8575.45034375
transcript.pyannote[1678].end 8575.48409375
transcript.pyannote[1679].speaker SPEAKER_19
transcript.pyannote[1679].start 8577.96471875
transcript.pyannote[1679].end 8581.27221875
transcript.pyannote[1680].speaker SPEAKER_04
transcript.pyannote[1680].start 8581.27221875
transcript.pyannote[1680].end 8581.28909375
transcript.pyannote[1681].speaker SPEAKER_09
transcript.pyannote[1681].start 8581.28909375
transcript.pyannote[1681].end 8581.45784375
transcript.pyannote[1682].speaker SPEAKER_19
transcript.pyannote[1682].start 8581.42409375
transcript.pyannote[1682].end 8584.02284375
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 8581.45784375
transcript.pyannote[1683].end 8581.50846875
transcript.pyannote[1684].speaker SPEAKER_04
transcript.pyannote[1684].start 8584.02284375
transcript.pyannote[1684].end 8584.96784375
transcript.pyannote[1685].speaker SPEAKER_19
transcript.pyannote[1685].start 8584.96784375
transcript.pyannote[1685].end 8585.03534375
transcript.pyannote[1686].speaker SPEAKER_04
transcript.pyannote[1686].start 8585.03534375
transcript.pyannote[1686].end 8586.53721875
transcript.pyannote[1687].speaker SPEAKER_09
transcript.pyannote[1687].start 8586.53721875
transcript.pyannote[1687].end 8586.84096875
transcript.pyannote[1688].speaker SPEAKER_04
transcript.pyannote[1688].start 8586.84096875
transcript.pyannote[1688].end 8626.75034375
transcript.pyannote[1689].speaker SPEAKER_09
transcript.pyannote[1689].start 8626.75034375
transcript.pyannote[1689].end 8627.13846875
transcript.pyannote[1690].speaker SPEAKER_04
transcript.pyannote[1690].start 8627.13846875
transcript.pyannote[1690].end 8629.04534375
transcript.pyannote[1691].speaker SPEAKER_04
transcript.pyannote[1691].start 8629.06221875
transcript.pyannote[1691].end 8677.49346875
transcript.pyannote[1692].speaker SPEAKER_09
transcript.pyannote[1692].start 8632.42034375
transcript.pyannote[1692].end 8633.60159375
transcript.pyannote[1693].speaker SPEAKER_00
transcript.pyannote[1693].start 8633.60159375
transcript.pyannote[1693].end 8633.70284375
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 8636.06534375
transcript.pyannote[1694].end 8636.26784375
transcript.pyannote[1695].speaker SPEAKER_04
transcript.pyannote[1695].start 8677.98284375
transcript.pyannote[1695].end 8681.27346875
transcript.pyannote[1696].speaker SPEAKER_09
transcript.pyannote[1696].start 8681.27346875
transcript.pyannote[1696].end 8681.89784375
transcript.pyannote[1697].speaker SPEAKER_04
transcript.pyannote[1697].start 8681.67846875
transcript.pyannote[1697].end 8685.96471875
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 8685.96471875
transcript.pyannote[1698].end 8689.96409375
transcript.pyannote[1699].speaker SPEAKER_04
transcript.pyannote[1699].start 8689.27221875
transcript.pyannote[1699].end 8689.84596875
transcript.pyannote[1700].speaker SPEAKER_04
transcript.pyannote[1700].start 8689.96409375
transcript.pyannote[1700].end 8691.02721875
transcript.pyannote[1701].speaker SPEAKER_19
transcript.pyannote[1701].start 8691.02721875
transcript.pyannote[1701].end 8692.02284375
transcript.pyannote[1702].speaker SPEAKER_04
transcript.pyannote[1702].start 8692.02284375
transcript.pyannote[1702].end 8707.02471875
transcript.pyannote[1703].speaker SPEAKER_19
transcript.pyannote[1703].start 8693.42346875
transcript.pyannote[1703].end 8694.11534375
transcript.pyannote[1704].speaker SPEAKER_19
transcript.pyannote[1704].start 8695.04346875
transcript.pyannote[1704].end 8695.43159375
transcript.pyannote[1705].speaker SPEAKER_19
transcript.pyannote[1705].start 8695.73534375
transcript.pyannote[1705].end 8696.07284375
transcript.pyannote[1706].speaker SPEAKER_19
transcript.pyannote[1706].start 8697.23721875
transcript.pyannote[1706].end 8698.28346875
transcript.pyannote[1707].speaker SPEAKER_19
transcript.pyannote[1707].start 8698.73909375
transcript.pyannote[1707].end 8699.93721875
transcript.pyannote[1708].speaker SPEAKER_19
transcript.pyannote[1708].start 8701.72596875
transcript.pyannote[1708].end 8704.96596875
transcript.pyannote[1709].speaker SPEAKER_09
transcript.pyannote[1709].start 8704.96596875
transcript.pyannote[1709].end 8706.02909375
transcript.pyannote[1710].speaker SPEAKER_06
transcript.pyannote[1710].start 8706.02909375
transcript.pyannote[1710].end 8706.72096875
transcript.pyannote[1711].speaker SPEAKER_09
transcript.pyannote[1711].start 8706.72096875
transcript.pyannote[1711].end 8706.82221875
transcript.pyannote[1712].speaker SPEAKER_06
transcript.pyannote[1712].start 8708.91471875
transcript.pyannote[1712].end 8713.85909375
transcript.pyannote[1713].speaker SPEAKER_19
transcript.pyannote[1713].start 9037.23471875
transcript.pyannote[1713].end 9041.33534375
transcript.pyannote[1714].speaker SPEAKER_03
transcript.pyannote[1714].start 9053.65409375
transcript.pyannote[1714].end 9056.69159375
transcript.pyannote[1715].speaker SPEAKER_19
transcript.pyannote[1715].start 9057.02909375
transcript.pyannote[1715].end 9059.17221875
transcript.pyannote[1716].speaker SPEAKER_03
transcript.pyannote[1716].start 9066.27659375
transcript.pyannote[1716].end 9067.23846875
transcript.pyannote[1717].speaker SPEAKER_03
transcript.pyannote[1717].start 9068.52096875
transcript.pyannote[1717].end 9073.70159375
transcript.pyannote[1718].speaker SPEAKER_03
transcript.pyannote[1718].start 9074.37659375
transcript.pyannote[1718].end 9080.41784375
transcript.pyannote[1719].speaker SPEAKER_02
transcript.pyannote[1719].start 9077.36346875
transcript.pyannote[1719].end 9078.66284375
transcript.pyannote[1720].speaker SPEAKER_02
transcript.pyannote[1720].start 9080.04659375
transcript.pyannote[1720].end 9080.26596875
transcript.pyannote[1721].speaker SPEAKER_03
transcript.pyannote[1721].start 9080.83971875
transcript.pyannote[1721].end 9096.22971875
transcript.pyannote[1722].speaker SPEAKER_09
transcript.pyannote[1722].start 9088.95659375
transcript.pyannote[1722].end 9089.04096875
transcript.pyannote[1723].speaker SPEAKER_15
transcript.pyannote[1723].start 9096.22971875
transcript.pyannote[1723].end 9096.56721875
transcript.pyannote[1724].speaker SPEAKER_03
transcript.pyannote[1724].start 9096.80346875
transcript.pyannote[1724].end 9098.71034375
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 9099.08159375
transcript.pyannote[1725].end 9101.74784375
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 9102.05159375
transcript.pyannote[1726].end 9111.18096875
transcript.pyannote[1727].speaker SPEAKER_03
transcript.pyannote[1727].start 9111.70409375
transcript.pyannote[1727].end 9115.16346875
transcript.pyannote[1728].speaker SPEAKER_09
transcript.pyannote[1728].start 9115.02846875
transcript.pyannote[1728].end 9116.05784375
transcript.pyannote[1729].speaker SPEAKER_03
transcript.pyannote[1729].start 9115.88909375
transcript.pyannote[1729].end 9120.12471875
transcript.pyannote[1730].speaker SPEAKER_04
transcript.pyannote[1730].start 9120.31034375
transcript.pyannote[1730].end 9121.01909375
transcript.pyannote[1731].speaker SPEAKER_04
transcript.pyannote[1731].start 9121.60971875
transcript.pyannote[1731].end 9131.21159375
transcript.pyannote[1732].speaker SPEAKER_04
transcript.pyannote[1732].start 9131.75159375
transcript.pyannote[1732].end 9140.81346875
transcript.pyannote[1733].speaker SPEAKER_02
transcript.pyannote[1733].start 9132.83159375
transcript.pyannote[1733].end 9135.12659375
transcript.pyannote[1734].speaker SPEAKER_15
transcript.pyannote[1734].start 9140.02034375
transcript.pyannote[1734].end 9140.94846875
transcript.pyannote[1735].speaker SPEAKER_04
transcript.pyannote[1735].start 9140.94846875
transcript.pyannote[1735].end 9168.82596875
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 9156.70971875
transcript.pyannote[1736].end 9156.74346875
transcript.pyannote[1737].speaker SPEAKER_10
transcript.pyannote[1737].start 9156.74346875
transcript.pyannote[1737].end 9157.53659375
transcript.pyannote[1738].speaker SPEAKER_03
transcript.pyannote[1738].start 9167.02034375
transcript.pyannote[1738].end 9177.83721875
transcript.pyannote[1739].speaker SPEAKER_04
transcript.pyannote[1739].start 9172.72409375
transcript.pyannote[1739].end 9175.32284375
transcript.pyannote[1740].speaker SPEAKER_04
transcript.pyannote[1740].start 9175.81221875
transcript.pyannote[1740].end 9179.06909375
transcript.pyannote[1741].speaker SPEAKER_03
transcript.pyannote[1741].start 9178.64721875
transcript.pyannote[1741].end 9191.37096875
transcript.pyannote[1742].speaker SPEAKER_04
transcript.pyannote[1742].start 9180.48659375
transcript.pyannote[1742].end 9181.39784375
transcript.pyannote[1743].speaker SPEAKER_09
transcript.pyannote[1743].start 9189.07596875
transcript.pyannote[1743].end 9190.03784375
transcript.pyannote[1744].speaker SPEAKER_09
transcript.pyannote[1744].start 9191.18534375
transcript.pyannote[1744].end 9191.84346875
transcript.pyannote[1745].speaker SPEAKER_03
transcript.pyannote[1745].start 9191.74221875
transcript.pyannote[1745].end 9204.70221875
transcript.pyannote[1746].speaker SPEAKER_00
transcript.pyannote[1746].start 9196.97346875
transcript.pyannote[1746].end 9197.00721875
transcript.pyannote[1747].speaker SPEAKER_09
transcript.pyannote[1747].start 9197.00721875
transcript.pyannote[1747].end 9197.17596875
transcript.pyannote[1748].speaker SPEAKER_00
transcript.pyannote[1748].start 9197.17596875
transcript.pyannote[1748].end 9197.27721875
transcript.pyannote[1749].speaker SPEAKER_00
transcript.pyannote[1749].start 9197.91846875
transcript.pyannote[1749].end 9197.93534375
transcript.pyannote[1750].speaker SPEAKER_09
transcript.pyannote[1750].start 9197.93534375
transcript.pyannote[1750].end 9198.28971875
transcript.pyannote[1751].speaker SPEAKER_15
transcript.pyannote[1751].start 9201.63096875
transcript.pyannote[1751].end 9202.01909375
transcript.pyannote[1752].speaker SPEAKER_15
transcript.pyannote[1752].start 9202.42409375
transcript.pyannote[1752].end 9202.81221875
transcript.pyannote[1753].speaker SPEAKER_15
transcript.pyannote[1753].start 9204.70221875
transcript.pyannote[1753].end 9205.09034375
transcript.pyannote[1754].speaker SPEAKER_03
transcript.pyannote[1754].start 9205.09034375
transcript.pyannote[1754].end 9213.29159375
transcript.pyannote[1755].speaker SPEAKER_15
transcript.pyannote[1755].start 9205.88346875
transcript.pyannote[1755].end 9207.09846875
transcript.pyannote[1756].speaker SPEAKER_03
transcript.pyannote[1756].start 9213.52784375
transcript.pyannote[1756].end 9217.67909375
transcript.pyannote[1757].speaker SPEAKER_03
transcript.pyannote[1757].start 9217.93221875
transcript.pyannote[1757].end 9226.65659375
transcript.pyannote[1758].speaker SPEAKER_09
transcript.pyannote[1758].start 9217.98284375
transcript.pyannote[1758].end 9218.42159375
transcript.pyannote[1759].speaker SPEAKER_03
transcript.pyannote[1759].start 9226.80846875
transcript.pyannote[1759].end 9227.73659375
transcript.pyannote[1760].speaker SPEAKER_03
transcript.pyannote[1760].start 9227.90534375
transcript.pyannote[1760].end 9231.73596875
transcript.pyannote[1761].speaker SPEAKER_03
transcript.pyannote[1761].start 9231.82034375
transcript.pyannote[1761].end 9233.28846875
transcript.pyannote[1762].speaker SPEAKER_09
transcript.pyannote[1762].start 9233.28846875
transcript.pyannote[1762].end 9233.69346875
transcript.pyannote[1763].speaker SPEAKER_03
transcript.pyannote[1763].start 9233.59221875
transcript.pyannote[1763].end 9235.60034375
transcript.pyannote[1764].speaker SPEAKER_03
transcript.pyannote[1764].start 9235.71846875
transcript.pyannote[1764].end 9236.96721875
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 9236.96721875
transcript.pyannote[1765].end 9237.32159375
transcript.pyannote[1766].speaker SPEAKER_03
transcript.pyannote[1766].start 9237.32159375
transcript.pyannote[1766].end 9237.35534375
transcript.pyannote[1767].speaker SPEAKER_03
transcript.pyannote[1767].start 9238.13159375
transcript.pyannote[1767].end 9240.30846875
transcript.pyannote[1768].speaker SPEAKER_03
transcript.pyannote[1768].start 9240.54471875
transcript.pyannote[1768].end 9244.29096875
transcript.pyannote[1769].speaker SPEAKER_09
transcript.pyannote[1769].start 9244.39221875
transcript.pyannote[1769].end 9244.76346875
transcript.pyannote[1770].speaker SPEAKER_03
transcript.pyannote[1770].start 9244.69596875
transcript.pyannote[1770].end 9250.68659375
transcript.pyannote[1771].speaker SPEAKER_09
transcript.pyannote[1771].start 9247.91909375
transcript.pyannote[1771].end 9248.30721875
transcript.pyannote[1772].speaker SPEAKER_09
transcript.pyannote[1772].start 9250.63596875
transcript.pyannote[1772].end 9251.00721875
transcript.pyannote[1773].speaker SPEAKER_03
transcript.pyannote[1773].start 9250.92284375
transcript.pyannote[1773].end 9255.20909375
transcript.pyannote[1774].speaker SPEAKER_09
transcript.pyannote[1774].start 9255.20909375
transcript.pyannote[1774].end 9255.56346875
transcript.pyannote[1775].speaker SPEAKER_03
transcript.pyannote[1775].start 9255.56346875
transcript.pyannote[1775].end 9258.88784375
transcript.pyannote[1776].speaker SPEAKER_09
transcript.pyannote[1776].start 9259.05659375
transcript.pyannote[1776].end 9259.46159375
transcript.pyannote[1777].speaker SPEAKER_03
transcript.pyannote[1777].start 9259.57971875
transcript.pyannote[1777].end 9262.12784375
transcript.pyannote[1778].speaker SPEAKER_09
transcript.pyannote[1778].start 9261.82409375
transcript.pyannote[1778].end 9262.00971875
transcript.pyannote[1779].speaker SPEAKER_09
transcript.pyannote[1779].start 9262.12784375
transcript.pyannote[1779].end 9262.44846875
transcript.pyannote[1780].speaker SPEAKER_03
transcript.pyannote[1780].start 9262.44846875
transcript.pyannote[1780].end 9263.44409375
transcript.pyannote[1781].speaker SPEAKER_03
transcript.pyannote[1781].start 9263.74784375
transcript.pyannote[1781].end 9264.13596875
transcript.pyannote[1782].speaker SPEAKER_03
transcript.pyannote[1782].start 9264.65909375
transcript.pyannote[1782].end 9271.62846875
transcript.pyannote[1783].speaker SPEAKER_04
transcript.pyannote[1783].start 9269.29971875
transcript.pyannote[1783].end 9269.94096875
transcript.pyannote[1784].speaker SPEAKER_04
transcript.pyannote[1784].start 9270.29534375
transcript.pyannote[1784].end 9300.41721875
transcript.pyannote[1785].speaker SPEAKER_15
transcript.pyannote[1785].start 9277.43346875
transcript.pyannote[1785].end 9277.63596875
transcript.pyannote[1786].speaker SPEAKER_03
transcript.pyannote[1786].start 9277.63596875
transcript.pyannote[1786].end 9277.68659375
transcript.pyannote[1787].speaker SPEAKER_00
transcript.pyannote[1787].start 9284.99346875
transcript.pyannote[1787].end 9285.01034375
transcript.pyannote[1788].speaker SPEAKER_03
transcript.pyannote[1788].start 9285.01034375
transcript.pyannote[1788].end 9285.97221875
transcript.pyannote[1789].speaker SPEAKER_00
transcript.pyannote[1789].start 9285.97221875
transcript.pyannote[1789].end 9286.93409375
transcript.pyannote[1790].speaker SPEAKER_15
transcript.pyannote[1790].start 9293.93721875
transcript.pyannote[1790].end 9294.66284375
transcript.pyannote[1791].speaker SPEAKER_03
transcript.pyannote[1791].start 9294.66284375
transcript.pyannote[1791].end 9294.67971875
transcript.pyannote[1792].speaker SPEAKER_15
transcript.pyannote[1792].start 9294.67971875
transcript.pyannote[1792].end 9294.69659375
transcript.pyannote[1793].speaker SPEAKER_03
transcript.pyannote[1793].start 9299.13471875
transcript.pyannote[1793].end 9314.54159375
transcript.pyannote[1794].speaker SPEAKER_04
transcript.pyannote[1794].start 9301.22721875
transcript.pyannote[1794].end 9301.29471875
transcript.pyannote[1795].speaker SPEAKER_04
transcript.pyannote[1795].start 9302.30721875
transcript.pyannote[1795].end 9303.28596875
transcript.pyannote[1796].speaker SPEAKER_04
transcript.pyannote[1796].start 9304.88909375
transcript.pyannote[1796].end 9305.15909375
transcript.pyannote[1797].speaker SPEAKER_15
transcript.pyannote[1797].start 9305.54721875
transcript.pyannote[1797].end 9305.63159375
transcript.pyannote[1798].speaker SPEAKER_04
transcript.pyannote[1798].start 9305.63159375
transcript.pyannote[1798].end 9306.54284375
transcript.pyannote[1799].speaker SPEAKER_15
transcript.pyannote[1799].start 9306.96471875
transcript.pyannote[1799].end 9310.45784375
transcript.pyannote[1800].speaker SPEAKER_15
transcript.pyannote[1800].start 9311.68971875
transcript.pyannote[1800].end 9312.85409375
transcript.pyannote[1801].speaker SPEAKER_15
transcript.pyannote[1801].start 9314.18721875
transcript.pyannote[1801].end 9314.94659375
transcript.pyannote[1802].speaker SPEAKER_03
transcript.pyannote[1802].start 9314.94659375
transcript.pyannote[1802].end 9324.19409375
transcript.pyannote[1803].speaker SPEAKER_09
transcript.pyannote[1803].start 9324.19409375
transcript.pyannote[1803].end 9324.66659375
transcript.pyannote[1804].speaker SPEAKER_03
transcript.pyannote[1804].start 9324.66659375
transcript.pyannote[1804].end 9329.64471875
transcript.pyannote[1805].speaker SPEAKER_03
transcript.pyannote[1805].start 9329.86409375
transcript.pyannote[1805].end 9349.06784375
transcript.pyannote[1806].speaker SPEAKER_15
transcript.pyannote[1806].start 9340.34346875
transcript.pyannote[1806].end 9340.84971875
transcript.pyannote[1807].speaker SPEAKER_09
transcript.pyannote[1807].start 9347.24534375
transcript.pyannote[1807].end 9347.46471875
transcript.pyannote[1808].speaker SPEAKER_03
transcript.pyannote[1808].start 9349.33784375
transcript.pyannote[1808].end 9354.01221875
transcript.pyannote[1809].speaker SPEAKER_09
transcript.pyannote[1809].start 9351.86909375
transcript.pyannote[1809].end 9352.27409375
transcript.pyannote[1810].speaker SPEAKER_09
transcript.pyannote[1810].start 9353.91096875
transcript.pyannote[1810].end 9354.38346875
transcript.pyannote[1811].speaker SPEAKER_03
transcript.pyannote[1811].start 9354.26534375
transcript.pyannote[1811].end 9357.91034375
transcript.pyannote[1812].speaker SPEAKER_03
transcript.pyannote[1812].start 9358.33221875
transcript.pyannote[1812].end 9368.00159375
transcript.pyannote[1813].speaker SPEAKER_04
transcript.pyannote[1813].start 9366.43221875
transcript.pyannote[1813].end 9366.61784375
transcript.pyannote[1814].speaker SPEAKER_04
transcript.pyannote[1814].start 9368.44034375
transcript.pyannote[1814].end 9369.21659375
transcript.pyannote[1815].speaker SPEAKER_04
transcript.pyannote[1815].start 9369.72284375
transcript.pyannote[1815].end 9400.26659375
transcript.pyannote[1816].speaker SPEAKER_03
transcript.pyannote[1816].start 9384.57284375
transcript.pyannote[1816].end 9385.61909375
transcript.pyannote[1817].speaker SPEAKER_03
transcript.pyannote[1817].start 9386.34471875
transcript.pyannote[1817].end 9386.74971875
transcript.pyannote[1818].speaker SPEAKER_03
transcript.pyannote[1818].start 9394.86659375
transcript.pyannote[1818].end 9394.96784375
transcript.pyannote[1819].speaker SPEAKER_15
transcript.pyannote[1819].start 9394.96784375
transcript.pyannote[1819].end 9395.00159375
transcript.pyannote[1820].speaker SPEAKER_03
transcript.pyannote[1820].start 9395.00159375
transcript.pyannote[1820].end 9395.01846875
transcript.pyannote[1821].speaker SPEAKER_04
transcript.pyannote[1821].start 9400.46909375
transcript.pyannote[1821].end 9401.97096875
transcript.pyannote[1822].speaker SPEAKER_03
transcript.pyannote[1822].start 9402.49409375
transcript.pyannote[1822].end 9402.91596875
transcript.pyannote[1823].speaker SPEAKER_04
transcript.pyannote[1823].start 9402.91596875
transcript.pyannote[1823].end 9403.86096875
transcript.pyannote[1824].speaker SPEAKER_03
transcript.pyannote[1824].start 9403.20284375
transcript.pyannote[1824].end 9408.58596875
transcript.pyannote[1825].speaker SPEAKER_04
transcript.pyannote[1825].start 9405.54846875
transcript.pyannote[1825].end 9412.09596875
transcript.pyannote[1826].speaker SPEAKER_04
transcript.pyannote[1826].start 9412.11284375
transcript.pyannote[1826].end 9416.36534375
transcript.pyannote[1827].speaker SPEAKER_03
transcript.pyannote[1827].start 9412.43346875
transcript.pyannote[1827].end 9412.78784375
transcript.pyannote[1828].speaker SPEAKER_03
transcript.pyannote[1828].start 9416.36534375
transcript.pyannote[1828].end 9421.15784375
transcript.pyannote[1829].speaker SPEAKER_03
transcript.pyannote[1829].start 9421.47846875
transcript.pyannote[1829].end 9428.11034375
transcript.pyannote[1830].speaker SPEAKER_09
transcript.pyannote[1830].start 9427.85721875
transcript.pyannote[1830].end 9428.53221875
transcript.pyannote[1831].speaker SPEAKER_03
transcript.pyannote[1831].start 9428.53221875
transcript.pyannote[1831].end 9430.74284375
transcript.pyannote[1832].speaker SPEAKER_03
transcript.pyannote[1832].start 9431.08034375
transcript.pyannote[1832].end 9443.60159375
transcript.pyannote[1833].speaker SPEAKER_03
transcript.pyannote[1833].start 9443.97284375
transcript.pyannote[1833].end 9447.14534375
transcript.pyannote[1834].speaker SPEAKER_03
transcript.pyannote[1834].start 9447.33096875
transcript.pyannote[1834].end 9463.15971875
transcript.pyannote[1835].speaker SPEAKER_03
transcript.pyannote[1835].start 9463.51409375
transcript.pyannote[1835].end 9465.40409375
transcript.pyannote[1836].speaker SPEAKER_09
transcript.pyannote[1836].start 9465.40409375
transcript.pyannote[1836].end 9465.77534375
transcript.pyannote[1837].speaker SPEAKER_03
transcript.pyannote[1837].start 9465.70784375
transcript.pyannote[1837].end 9468.54284375
transcript.pyannote[1838].speaker SPEAKER_03
transcript.pyannote[1838].start 9468.76221875
transcript.pyannote[1838].end 9471.42846875
transcript.pyannote[1839].speaker SPEAKER_03
transcript.pyannote[1839].start 9471.76596875
transcript.pyannote[1839].end 9477.11534375
transcript.pyannote[1840].speaker SPEAKER_04
transcript.pyannote[1840].start 9477.11534375
transcript.pyannote[1840].end 9477.33471875
transcript.pyannote[1841].speaker SPEAKER_04
transcript.pyannote[1841].start 9477.72284375
transcript.pyannote[1841].end 9488.92784375
transcript.pyannote[1842].speaker SPEAKER_04
transcript.pyannote[1842].start 9489.34971875
transcript.pyannote[1842].end 9490.12596875
transcript.pyannote[1843].speaker SPEAKER_03
transcript.pyannote[1843].start 9490.12596875
transcript.pyannote[1843].end 9490.51409375
transcript.pyannote[1844].speaker SPEAKER_04
transcript.pyannote[1844].start 9490.51409375
transcript.pyannote[1844].end 9499.69409375
transcript.pyannote[1845].speaker SPEAKER_01
transcript.pyannote[1845].start 9498.96846875
transcript.pyannote[1845].end 9499.87971875
transcript.pyannote[1846].speaker SPEAKER_04
transcript.pyannote[1846].start 9499.86284375
transcript.pyannote[1846].end 9512.40096875
transcript.pyannote[1847].speaker SPEAKER_04
transcript.pyannote[1847].start 9513.10971875
transcript.pyannote[1847].end 9518.40846875
transcript.pyannote[1848].speaker SPEAKER_04
transcript.pyannote[1848].start 9519.03284375
transcript.pyannote[1848].end 9521.58096875
transcript.pyannote[1849].speaker SPEAKER_15
transcript.pyannote[1849].start 9521.58096875
transcript.pyannote[1849].end 9521.98596875
transcript.pyannote[1850].speaker SPEAKER_04
transcript.pyannote[1850].start 9521.98596875
transcript.pyannote[1850].end 9532.95471875
transcript.pyannote[1851].speaker SPEAKER_15
transcript.pyannote[1851].start 9529.37721875
transcript.pyannote[1851].end 9530.03534375
transcript.pyannote[1852].speaker SPEAKER_00
transcript.pyannote[1852].start 9530.03534375
transcript.pyannote[1852].end 9530.05221875
transcript.pyannote[1853].speaker SPEAKER_04
transcript.pyannote[1853].start 9533.30909375
transcript.pyannote[1853].end 9544.56471875
transcript.pyannote[1854].speaker SPEAKER_03
transcript.pyannote[1854].start 9537.91596875
transcript.pyannote[1854].end 9538.91159375
transcript.pyannote[1855].speaker SPEAKER_03
transcript.pyannote[1855].start 9539.82284375
transcript.pyannote[1855].end 9554.72346875
transcript.pyannote[1856].speaker SPEAKER_04
transcript.pyannote[1856].start 9553.82909375
transcript.pyannote[1856].end 9571.37909375
transcript.pyannote[1857].speaker SPEAKER_15
transcript.pyannote[1857].start 9554.72346875
transcript.pyannote[1857].end 9554.74034375
transcript.pyannote[1858].speaker SPEAKER_15
transcript.pyannote[1858].start 9554.87534375
transcript.pyannote[1858].end 9554.89221875
transcript.pyannote[1859].speaker SPEAKER_03
transcript.pyannote[1859].start 9554.89221875
transcript.pyannote[1859].end 9557.65971875
transcript.pyannote[1860].speaker SPEAKER_15
transcript.pyannote[1860].start 9560.91659375
transcript.pyannote[1860].end 9562.65471875
transcript.pyannote[1861].speaker SPEAKER_00
transcript.pyannote[1861].start 9562.65471875
transcript.pyannote[1861].end 9562.78971875
transcript.pyannote[1862].speaker SPEAKER_03
transcript.pyannote[1862].start 9570.28221875
transcript.pyannote[1862].end 9577.62284375
transcript.pyannote[1863].speaker SPEAKER_04
transcript.pyannote[1863].start 9572.77971875
transcript.pyannote[1863].end 9573.01596875
transcript.pyannote[1864].speaker SPEAKER_04
transcript.pyannote[1864].start 9574.82159375
transcript.pyannote[1864].end 9575.22659375
transcript.pyannote[1865].speaker SPEAKER_03
transcript.pyannote[1865].start 9577.77471875
transcript.pyannote[1865].end 9582.80346875
transcript.pyannote[1866].speaker SPEAKER_04
transcript.pyannote[1866].start 9578.19659375
transcript.pyannote[1866].end 9586.78596875
transcript.pyannote[1867].speaker SPEAKER_03
transcript.pyannote[1867].start 9583.74846875
transcript.pyannote[1867].end 9586.73534375
transcript.pyannote[1868].speaker SPEAKER_03
transcript.pyannote[1868].start 9587.08971875
transcript.pyannote[1868].end 9628.33221875
transcript.pyannote[1869].speaker SPEAKER_09
transcript.pyannote[1869].start 9594.43034375
transcript.pyannote[1869].end 9594.76784375
transcript.pyannote[1870].speaker SPEAKER_15
transcript.pyannote[1870].start 9602.78346875
transcript.pyannote[1870].end 9603.10409375
transcript.pyannote[1871].speaker SPEAKER_04
transcript.pyannote[1871].start 9625.66596875
transcript.pyannote[1871].end 9629.56409375
transcript.pyannote[1872].speaker SPEAKER_04
transcript.pyannote[1872].start 9630.00284375
transcript.pyannote[1872].end 9642.91221875
transcript.pyannote[1873].speaker SPEAKER_15
transcript.pyannote[1873].start 9639.84096875
transcript.pyannote[1873].end 9639.89159375
transcript.pyannote[1874].speaker SPEAKER_04
transcript.pyannote[1874].start 9643.19909375
transcript.pyannote[1874].end 9649.69596875
transcript.pyannote[1875].speaker SPEAKER_04
transcript.pyannote[1875].start 9649.76346875
transcript.pyannote[1875].end 9655.45034375
transcript.pyannote[1876].speaker SPEAKER_03
transcript.pyannote[1876].start 9654.77534375
transcript.pyannote[1876].end 9661.33971875
transcript.pyannote[1877].speaker SPEAKER_04
transcript.pyannote[1877].start 9657.18846875
transcript.pyannote[1877].end 9668.46096875
transcript.pyannote[1878].speaker SPEAKER_03
transcript.pyannote[1878].start 9661.77846875
transcript.pyannote[1878].end 9663.78659375
transcript.pyannote[1879].speaker SPEAKER_03
transcript.pyannote[1879].start 9664.81596875
transcript.pyannote[1879].end 9667.31346875
transcript.pyannote[1880].speaker SPEAKER_03
transcript.pyannote[1880].start 9667.98846875
transcript.pyannote[1880].end 9675.10971875
transcript.pyannote[1881].speaker SPEAKER_04
transcript.pyannote[1881].start 9669.18659375
transcript.pyannote[1881].end 9669.49034375
transcript.pyannote[1882].speaker SPEAKER_09
transcript.pyannote[1882].start 9674.94096875
transcript.pyannote[1882].end 9675.21096875
transcript.pyannote[1883].speaker SPEAKER_03
transcript.pyannote[1883].start 9675.21096875
transcript.pyannote[1883].end 9707.86409375
transcript.pyannote[1884].speaker SPEAKER_09
transcript.pyannote[1884].start 9678.41721875
transcript.pyannote[1884].end 9678.55221875
transcript.pyannote[1885].speaker SPEAKER_04
transcript.pyannote[1885].start 9706.90221875
transcript.pyannote[1885].end 9707.03721875
transcript.pyannote[1886].speaker SPEAKER_15
transcript.pyannote[1886].start 9707.03721875
transcript.pyannote[1886].end 9708.85971875
transcript.pyannote[1887].speaker SPEAKER_04
transcript.pyannote[1887].start 9708.85971875
transcript.pyannote[1887].end 9708.87659375
transcript.pyannote[1888].speaker SPEAKER_03
transcript.pyannote[1888].start 9708.94409375
transcript.pyannote[1888].end 9715.20471875
transcript.pyannote[1889].speaker SPEAKER_15
transcript.pyannote[1889].start 9709.41659375
transcript.pyannote[1889].end 9710.36159375
transcript.pyannote[1890].speaker SPEAKER_03
transcript.pyannote[1890].start 9715.25534375
transcript.pyannote[1890].end 9719.32221875
transcript.pyannote[1891].speaker SPEAKER_04
transcript.pyannote[1891].start 9717.93846875
transcript.pyannote[1891].end 9743.62221875
transcript.pyannote[1892].speaker SPEAKER_00
transcript.pyannote[1892].start 9730.10534375
transcript.pyannote[1892].end 9731.43846875
transcript.pyannote[1893].speaker SPEAKER_15
transcript.pyannote[1893].start 9737.47971875
transcript.pyannote[1893].end 9737.78346875
transcript.pyannote[1894].speaker SPEAKER_15
transcript.pyannote[1894].start 9743.82471875
transcript.pyannote[1894].end 9744.38159375
transcript.pyannote[1895].speaker SPEAKER_04
transcript.pyannote[1895].start 9744.38159375
transcript.pyannote[1895].end 9746.23784375
transcript.pyannote[1896].speaker SPEAKER_15
transcript.pyannote[1896].start 9744.58409375
transcript.pyannote[1896].end 9744.60096875
transcript.pyannote[1897].speaker SPEAKER_15
transcript.pyannote[1897].start 9744.75284375
transcript.pyannote[1897].end 9746.28846875
transcript.pyannote[1898].speaker SPEAKER_19
transcript.pyannote[1898].start 9746.23784375
transcript.pyannote[1898].end 9746.25471875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 9746.28846875
transcript.pyannote[1899].end 9746.30534375
transcript.pyannote[1900].speaker SPEAKER_19
transcript.pyannote[1900].start 9747.13221875
transcript.pyannote[1900].end 9747.16596875
transcript.pyannote[1901].speaker SPEAKER_04
transcript.pyannote[1901].start 9747.16596875
transcript.pyannote[1901].end 9747.97596875
transcript.pyannote[1902].speaker SPEAKER_19
transcript.pyannote[1902].start 9747.97596875
transcript.pyannote[1902].end 9750.37221875
transcript.pyannote[1903].speaker SPEAKER_03
transcript.pyannote[1903].start 9760.15971875
transcript.pyannote[1903].end 9765.81284375
transcript.pyannote[1904].speaker SPEAKER_15
transcript.pyannote[1904].start 9770.30159375
transcript.pyannote[1904].end 9770.92596875
transcript.pyannote[1905].speaker SPEAKER_03
transcript.pyannote[1905].start 9770.77409375
transcript.pyannote[1905].end 9770.80784375
transcript.pyannote[1906].speaker SPEAKER_03
transcript.pyannote[1906].start 9770.92596875
transcript.pyannote[1906].end 9770.95971875
transcript.pyannote[1907].speaker SPEAKER_15
transcript.pyannote[1907].start 9770.95971875
transcript.pyannote[1907].end 9771.01034375
transcript.pyannote[1908].speaker SPEAKER_04
transcript.pyannote[1908].start 9771.01034375
transcript.pyannote[1908].end 9772.68096875
transcript.pyannote[1909].speaker SPEAKER_03
transcript.pyannote[1909].start 9772.68096875
transcript.pyannote[1909].end 9775.29659375
transcript.pyannote[1910].speaker SPEAKER_03
transcript.pyannote[1910].start 9775.73534375
transcript.pyannote[1910].end 9789.99471875
transcript.pyannote[1911].speaker SPEAKER_15
transcript.pyannote[1911].start 9787.29471875
transcript.pyannote[1911].end 9787.83471875
transcript.pyannote[1912].speaker SPEAKER_15
transcript.pyannote[1912].start 9789.99471875
transcript.pyannote[1912].end 9790.33221875
transcript.pyannote[1913].speaker SPEAKER_03
transcript.pyannote[1913].start 9790.26471875
transcript.pyannote[1913].end 9794.01096875
transcript.pyannote[1914].speaker SPEAKER_15
transcript.pyannote[1914].start 9794.19659375
transcript.pyannote[1914].end 9794.29784375
transcript.pyannote[1915].speaker SPEAKER_09
transcript.pyannote[1915].start 9794.29784375
transcript.pyannote[1915].end 9794.51721875
transcript.pyannote[1916].speaker SPEAKER_15
transcript.pyannote[1916].start 9794.51721875
transcript.pyannote[1916].end 9794.56784375
transcript.pyannote[1917].speaker SPEAKER_03
transcript.pyannote[1917].start 9794.51721875
transcript.pyannote[1917].end 9797.92596875
transcript.pyannote[1918].speaker SPEAKER_09
transcript.pyannote[1918].start 9794.56784375
transcript.pyannote[1918].end 9794.58471875
transcript.pyannote[1919].speaker SPEAKER_03
transcript.pyannote[1919].start 9798.28034375
transcript.pyannote[1919].end 9799.64721875
transcript.pyannote[1920].speaker SPEAKER_03
transcript.pyannote[1920].start 9799.91721875
transcript.pyannote[1920].end 9802.31346875
transcript.pyannote[1921].speaker SPEAKER_09
transcript.pyannote[1921].start 9802.60034375
transcript.pyannote[1921].end 9802.98846875
transcript.pyannote[1922].speaker SPEAKER_03
transcript.pyannote[1922].start 9802.93784375
transcript.pyannote[1922].end 9807.20721875
transcript.pyannote[1923].speaker SPEAKER_03
transcript.pyannote[1923].start 9807.67971875
transcript.pyannote[1923].end 9808.42221875
transcript.pyannote[1924].speaker SPEAKER_03
transcript.pyannote[1924].start 9808.62471875
transcript.pyannote[1924].end 9815.56034375
transcript.pyannote[1925].speaker SPEAKER_03
transcript.pyannote[1925].start 9815.72909375
transcript.pyannote[1925].end 9818.02409375
transcript.pyannote[1926].speaker SPEAKER_03
transcript.pyannote[1926].start 9818.27721875
transcript.pyannote[1926].end 9821.93909375
transcript.pyannote[1927].speaker SPEAKER_03
transcript.pyannote[1927].start 9822.10784375
transcript.pyannote[1927].end 9823.00221875
transcript.pyannote[1928].speaker SPEAKER_03
transcript.pyannote[1928].start 9823.54221875
transcript.pyannote[1928].end 9824.99346875
transcript.pyannote[1929].speaker SPEAKER_03
transcript.pyannote[1929].start 9825.06096875
transcript.pyannote[1929].end 9825.82034375
transcript.pyannote[1930].speaker SPEAKER_03
transcript.pyannote[1930].start 9826.14096875
transcript.pyannote[1930].end 9831.38909375
transcript.pyannote[1931].speaker SPEAKER_15
transcript.pyannote[1931].start 9831.38909375
transcript.pyannote[1931].end 9831.81096875
transcript.pyannote[1932].speaker SPEAKER_03
transcript.pyannote[1932].start 9831.79409375
transcript.pyannote[1932].end 9840.19784375
transcript.pyannote[1933].speaker SPEAKER_04
transcript.pyannote[1933].start 9840.53534375
transcript.pyannote[1933].end 9873.13784375
transcript.pyannote[1934].speaker SPEAKER_04
transcript.pyannote[1934].start 9873.77909375
transcript.pyannote[1934].end 9892.12221875
transcript.pyannote[1935].speaker SPEAKER_03
transcript.pyannote[1935].start 9892.52721875
transcript.pyannote[1935].end 9892.54409375
transcript.pyannote[1936].speaker SPEAKER_04
transcript.pyannote[1936].start 9892.54409375
transcript.pyannote[1936].end 9892.96596875
transcript.pyannote[1937].speaker SPEAKER_03
transcript.pyannote[1937].start 9892.96596875
transcript.pyannote[1937].end 9893.03346875
transcript.pyannote[1938].speaker SPEAKER_04
transcript.pyannote[1938].start 9893.03346875
transcript.pyannote[1938].end 9915.39284375
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 9893.25284375
transcript.pyannote[1939].end 9894.70409375
transcript.pyannote[1940].speaker SPEAKER_04
transcript.pyannote[1940].start 9916.42221875
transcript.pyannote[1940].end 9919.12221875
transcript.pyannote[1941].speaker SPEAKER_03
transcript.pyannote[1941].start 9917.92409375
transcript.pyannote[1941].end 9927.00284375
transcript.pyannote[1942].speaker SPEAKER_15
transcript.pyannote[1942].start 9927.00284375
transcript.pyannote[1942].end 9927.79596875
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 9927.79596875
transcript.pyannote[1943].end 9931.10346875
transcript.pyannote[1944].speaker SPEAKER_15
transcript.pyannote[1944].start 9930.64784375
transcript.pyannote[1944].end 9931.59284375
transcript.pyannote[1945].speaker SPEAKER_03
transcript.pyannote[1945].start 9931.76159375
transcript.pyannote[1945].end 9935.49096875
transcript.pyannote[1946].speaker SPEAKER_15
transcript.pyannote[1946].start 9935.06909375
transcript.pyannote[1946].end 9936.23346875
transcript.pyannote[1947].speaker SPEAKER_03
transcript.pyannote[1947].start 9936.23346875
transcript.pyannote[1947].end 9941.92034375
transcript.pyannote[1948].speaker SPEAKER_15
transcript.pyannote[1948].start 9941.29596875
transcript.pyannote[1948].end 9941.31284375
transcript.pyannote[1949].speaker SPEAKER_15
transcript.pyannote[1949].start 9941.34659375
transcript.pyannote[1949].end 9941.39721875
transcript.pyannote[1950].speaker SPEAKER_09
transcript.pyannote[1950].start 9941.39721875
transcript.pyannote[1950].end 9941.44784375
transcript.pyannote[1951].speaker SPEAKER_15
transcript.pyannote[1951].start 9941.44784375
transcript.pyannote[1951].end 9941.54909375
transcript.pyannote[1952].speaker SPEAKER_03
transcript.pyannote[1952].start 9941.97096875
transcript.pyannote[1952].end 9944.70471875
transcript.pyannote[1953].speaker SPEAKER_03
transcript.pyannote[1953].start 9944.97471875
transcript.pyannote[1953].end 9952.50096875
transcript.pyannote[1954].speaker SPEAKER_09
transcript.pyannote[1954].start 9946.49346875
transcript.pyannote[1954].end 9946.81409375
transcript.pyannote[1955].speaker SPEAKER_03
transcript.pyannote[1955].start 9953.24346875
transcript.pyannote[1955].end 9961.27596875
transcript.pyannote[1956].speaker SPEAKER_04
transcript.pyannote[1956].start 9961.27596875
transcript.pyannote[1956].end 10069.47846875
transcript.pyannote[1957].speaker SPEAKER_03
transcript.pyannote[1957].start 9961.44471875
transcript.pyannote[1957].end 9961.73159375
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 10069.47846875
transcript.pyannote[1958].end 10071.23346875
transcript.pyannote[1959].speaker SPEAKER_04
transcript.pyannote[1959].start 10069.49534375
transcript.pyannote[1959].end 10069.66409375
transcript.pyannote[1960].speaker SPEAKER_03
transcript.pyannote[1960].start 10071.60471875
transcript.pyannote[1960].end 10078.50659375
transcript.pyannote[1961].speaker SPEAKER_09
transcript.pyannote[1961].start 10078.50659375
transcript.pyannote[1961].end 10079.50221875
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 10079.14784375
transcript.pyannote[1962].end 10090.30221875
transcript.pyannote[1963].speaker SPEAKER_09
transcript.pyannote[1963].start 10080.58221875
transcript.pyannote[1963].end 10081.22346875
transcript.pyannote[1964].speaker SPEAKER_09
transcript.pyannote[1964].start 10081.39221875
transcript.pyannote[1964].end 10081.89846875
transcript.pyannote[1965].speaker SPEAKER_09
transcript.pyannote[1965].start 10084.26096875
transcript.pyannote[1965].end 10085.49284375
transcript.pyannote[1966].speaker SPEAKER_09
transcript.pyannote[1966].start 10086.55596875
transcript.pyannote[1966].end 10086.75846875
transcript.pyannote[1967].speaker SPEAKER_09
transcript.pyannote[1967].start 10090.26846875
transcript.pyannote[1967].end 10090.63971875
transcript.pyannote[1968].speaker SPEAKER_03
transcript.pyannote[1968].start 10090.33596875
transcript.pyannote[1968].end 10090.35284375
transcript.pyannote[1969].speaker SPEAKER_03
transcript.pyannote[1969].start 10090.52159375
transcript.pyannote[1969].end 10094.99346875
transcript.pyannote[1970].speaker SPEAKER_03
transcript.pyannote[1970].start 10095.24659375
transcript.pyannote[1970].end 10097.28846875
transcript.pyannote[1971].speaker SPEAKER_03
transcript.pyannote[1971].start 10097.33909375
transcript.pyannote[1971].end 10097.38971875
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 10097.38971875
transcript.pyannote[1972].end 10103.27909375
transcript.pyannote[1973].speaker SPEAKER_03
transcript.pyannote[1973].start 10098.67221875
transcript.pyannote[1973].end 10100.10659375
transcript.pyannote[1974].speaker SPEAKER_03
transcript.pyannote[1974].start 10100.68034375
transcript.pyannote[1974].end 10100.96721875
transcript.pyannote[1975].speaker SPEAKER_03
transcript.pyannote[1975].start 10101.62534375
transcript.pyannote[1975].end 10101.64221875
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 10101.64221875
transcript.pyannote[1976].end 10101.67596875
transcript.pyannote[1977].speaker SPEAKER_03
transcript.pyannote[1977].start 10101.67596875
transcript.pyannote[1977].end 10101.91221875
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 10101.91221875
transcript.pyannote[1978].end 10102.03034375
transcript.pyannote[1979].speaker SPEAKER_15
transcript.pyannote[1979].start 10103.00909375
transcript.pyannote[1979].end 10103.56596875
transcript.pyannote[1980].speaker SPEAKER_04
transcript.pyannote[1980].start 10103.56596875
transcript.pyannote[1980].end 10107.64971875
transcript.pyannote[1981].speaker SPEAKER_04
transcript.pyannote[1981].start 10107.71721875
transcript.pyannote[1981].end 10111.26096875
transcript.pyannote[1982].speaker SPEAKER_04
transcript.pyannote[1982].start 10111.32846875
transcript.pyannote[1982].end 10128.23721875
transcript.pyannote[1983].speaker SPEAKER_04
transcript.pyannote[1983].start 10128.59159375
transcript.pyannote[1983].end 10144.97721875
transcript.pyannote[1984].speaker SPEAKER_03
transcript.pyannote[1984].start 10141.33221875
transcript.pyannote[1984].end 10144.06596875
transcript.pyannote[1985].speaker SPEAKER_03
transcript.pyannote[1985].start 10144.21784375
transcript.pyannote[1985].end 10164.29909375
transcript.pyannote[1986].speaker SPEAKER_04
transcript.pyannote[1986].start 10145.06159375
transcript.pyannote[1986].end 10145.14596875
transcript.pyannote[1987].speaker SPEAKER_04
transcript.pyannote[1987].start 10155.52409375
transcript.pyannote[1987].end 10156.14846875
transcript.pyannote[1988].speaker SPEAKER_04
transcript.pyannote[1988].start 10157.44784375
transcript.pyannote[1988].end 10158.67971875
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 10159.82721875
transcript.pyannote[1989].end 10159.96221875
transcript.pyannote[1990].speaker SPEAKER_09
transcript.pyannote[1990].start 10159.96221875
transcript.pyannote[1990].end 10159.97909375
transcript.pyannote[1991].speaker SPEAKER_04
transcript.pyannote[1991].start 10163.53971875
transcript.pyannote[1991].end 10166.23971875
transcript.pyannote[1992].speaker SPEAKER_03
transcript.pyannote[1992].start 10165.10909375
transcript.pyannote[1992].end 10167.01596875
transcript.pyannote[1993].speaker SPEAKER_04
transcript.pyannote[1993].start 10166.39159375
transcript.pyannote[1993].end 10170.32346875
transcript.pyannote[1994].speaker SPEAKER_03
transcript.pyannote[1994].start 10167.64034375
transcript.pyannote[1994].end 10167.92721875
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 10172.19659375
transcript.pyannote[1995].end 10189.78034375
transcript.pyannote[1996].speaker SPEAKER_04
transcript.pyannote[1996].start 10172.61846875
transcript.pyannote[1996].end 10172.85471875
transcript.pyannote[1997].speaker SPEAKER_04
transcript.pyannote[1997].start 10175.38596875
transcript.pyannote[1997].end 10177.41096875
transcript.pyannote[1998].speaker SPEAKER_04
transcript.pyannote[1998].start 10189.47659375
transcript.pyannote[1998].end 10198.09971875
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 10190.25284375
transcript.pyannote[1999].end 10190.30346875
transcript.pyannote[2000].speaker SPEAKER_04
transcript.pyannote[2000].start 10198.31909375
transcript.pyannote[2000].end 10203.11159375
transcript.pyannote[2001].speaker SPEAKER_04
transcript.pyannote[2001].start 10204.02284375
transcript.pyannote[2001].end 10224.08721875
transcript.pyannote[2002].speaker SPEAKER_04
transcript.pyannote[2002].start 10224.50909375
transcript.pyannote[2002].end 10228.66034375
transcript.pyannote[2003].speaker SPEAKER_04
transcript.pyannote[2003].start 10228.91346875
transcript.pyannote[2003].end 10230.70221875
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 10232.08596875
transcript.pyannote[2004].end 10232.72721875
transcript.pyannote[2005].speaker SPEAKER_04
transcript.pyannote[2005].start 10233.18284375
transcript.pyannote[2005].end 10235.93346875
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 10236.15284375
transcript.pyannote[2006].end 10237.87409375
transcript.pyannote[2007].speaker SPEAKER_03
transcript.pyannote[2007].start 10237.87409375
transcript.pyannote[2007].end 10253.02784375
transcript.pyannote[2008].speaker SPEAKER_15
transcript.pyannote[2008].start 10246.21034375
transcript.pyannote[2008].end 10246.58159375
transcript.pyannote[2009].speaker SPEAKER_09
transcript.pyannote[2009].start 10252.50471875
transcript.pyannote[2009].end 10253.07846875
transcript.pyannote[2010].speaker SPEAKER_03
transcript.pyannote[2010].start 10253.07846875
transcript.pyannote[2010].end 10265.07659375
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 10265.07659375
transcript.pyannote[2011].end 10286.20409375
transcript.pyannote[2012].speaker SPEAKER_04
transcript.pyannote[2012].start 10286.81159375
transcript.pyannote[2012].end 10291.84034375
transcript.pyannote[2013].speaker SPEAKER_04
transcript.pyannote[2013].start 10292.59971875
transcript.pyannote[2013].end 10295.85659375
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 10295.97471875
transcript.pyannote[2014].end 10304.71596875
transcript.pyannote[2015].speaker SPEAKER_03
transcript.pyannote[2015].start 10302.99471875
transcript.pyannote[2015].end 10309.20471875
transcript.pyannote[2016].speaker SPEAKER_03
transcript.pyannote[2016].start 10309.25534375
transcript.pyannote[2016].end 10310.48721875
transcript.pyannote[2017].speaker SPEAKER_03
transcript.pyannote[2017].start 10310.82471875
transcript.pyannote[2017].end 10316.44409375
transcript.pyannote[2018].speaker SPEAKER_09
transcript.pyannote[2018].start 10312.29284375
transcript.pyannote[2018].end 10312.41096875
transcript.pyannote[2019].speaker SPEAKER_04
transcript.pyannote[2019].start 10312.84971875
transcript.pyannote[2019].end 10312.90034375
transcript.pyannote[2020].speaker SPEAKER_03
transcript.pyannote[2020].start 10316.68034375
transcript.pyannote[2020].end 10322.60346875
transcript.pyannote[2021].speaker SPEAKER_09
transcript.pyannote[2021].start 10322.83971875
transcript.pyannote[2021].end 10323.09284375
transcript.pyannote[2022].speaker SPEAKER_03
transcript.pyannote[2022].start 10323.00846875
transcript.pyannote[2022].end 10329.84284375
transcript.pyannote[2023].speaker SPEAKER_09
transcript.pyannote[2023].start 10326.67034375
transcript.pyannote[2023].end 10327.00784375
transcript.pyannote[2024].speaker SPEAKER_03
transcript.pyannote[2024].start 10331.04096875
transcript.pyannote[2024].end 10335.17534375
transcript.pyannote[2025].speaker SPEAKER_03
transcript.pyannote[2025].start 10335.24284375
transcript.pyannote[2025].end 10336.27221875
transcript.pyannote[2026].speaker SPEAKER_03
transcript.pyannote[2026].start 10336.54221875
transcript.pyannote[2026].end 10338.68534375
transcript.pyannote[2027].speaker SPEAKER_03
transcript.pyannote[2027].start 10339.41096875
transcript.pyannote[2027].end 10340.27159375
transcript.pyannote[2028].speaker SPEAKER_09
transcript.pyannote[2028].start 10340.27159375
transcript.pyannote[2028].end 10340.32221875
transcript.pyannote[2029].speaker SPEAKER_03
transcript.pyannote[2029].start 10340.32221875
transcript.pyannote[2029].end 10341.36846875
transcript.pyannote[2030].speaker SPEAKER_03
transcript.pyannote[2030].start 10341.53721875
transcript.pyannote[2030].end 10358.74971875
transcript.pyannote[2031].speaker SPEAKER_04
transcript.pyannote[2031].start 10358.74971875
transcript.pyannote[2031].end 10367.00159375
transcript.pyannote[2032].speaker SPEAKER_03
transcript.pyannote[2032].start 10360.65659375
transcript.pyannote[2032].end 10361.68596875
transcript.pyannote[2033].speaker SPEAKER_04
transcript.pyannote[2033].start 10367.74409375
transcript.pyannote[2033].end 10381.05846875
transcript.pyannote[2034].speaker SPEAKER_03
transcript.pyannote[2034].start 10378.17284375
transcript.pyannote[2034].end 10379.37096875
transcript.pyannote[2035].speaker SPEAKER_03
transcript.pyannote[2035].start 10379.42159375
transcript.pyannote[2035].end 10396.21221875
transcript.pyannote[2036].speaker SPEAKER_04
transcript.pyannote[2036].start 10382.86409375
transcript.pyannote[2036].end 10383.72471875
transcript.pyannote[2037].speaker SPEAKER_04
transcript.pyannote[2037].start 10386.59346875
transcript.pyannote[2037].end 10386.79596875
transcript.pyannote[2038].speaker SPEAKER_19
transcript.pyannote[2038].start 10392.55034375
transcript.pyannote[2038].end 10397.30909375
transcript.pyannote[2039].speaker SPEAKER_19
transcript.pyannote[2039].start 10397.69721875
transcript.pyannote[2039].end 10401.44346875
transcript.pyannote[2040].speaker SPEAKER_18
transcript.pyannote[2040].start 10417.84596875
transcript.pyannote[2040].end 10423.83659375
transcript.pyannote[2041].speaker SPEAKER_19
transcript.pyannote[2041].start 10424.10659375
transcript.pyannote[2041].end 10425.84471875
transcript.pyannote[2042].speaker SPEAKER_18
transcript.pyannote[2042].start 10424.56221875
transcript.pyannote[2042].end 10425.50721875
transcript.pyannote[2043].speaker SPEAKER_18
transcript.pyannote[2043].start 10428.49409375
transcript.pyannote[2043].end 10433.92784375
transcript.pyannote[2044].speaker SPEAKER_15
transcript.pyannote[2044].start 10430.04659375
transcript.pyannote[2044].end 10430.13096875
transcript.pyannote[2045].speaker SPEAKER_19
transcript.pyannote[2045].start 10430.13096875
transcript.pyannote[2045].end 10431.19409375
transcript.pyannote[2046].speaker SPEAKER_15
transcript.pyannote[2046].start 10431.97034375
transcript.pyannote[2046].end 10432.03784375
transcript.pyannote[2047].speaker SPEAKER_19
transcript.pyannote[2047].start 10432.03784375
transcript.pyannote[2047].end 10432.47659375
transcript.pyannote[2048].speaker SPEAKER_18
transcript.pyannote[2048].start 10433.94471875
transcript.pyannote[2048].end 10433.96159375
transcript.pyannote[2049].speaker SPEAKER_18
transcript.pyannote[2049].start 10434.13034375
transcript.pyannote[2049].end 10435.14284375
transcript.pyannote[2050].speaker SPEAKER_04
transcript.pyannote[2050].start 10436.17221875
transcript.pyannote[2050].end 10436.20596875
transcript.pyannote[2051].speaker SPEAKER_09
transcript.pyannote[2051].start 10436.20596875
transcript.pyannote[2051].end 10436.27346875
transcript.pyannote[2052].speaker SPEAKER_04
transcript.pyannote[2052].start 10436.29034375
transcript.pyannote[2052].end 10436.61096875
transcript.pyannote[2053].speaker SPEAKER_19
transcript.pyannote[2053].start 10436.61096875
transcript.pyannote[2053].end 10436.81346875
transcript.pyannote[2054].speaker SPEAKER_04
transcript.pyannote[2054].start 10436.81346875
transcript.pyannote[2054].end 10437.03284375
transcript.pyannote[2055].speaker SPEAKER_19
transcript.pyannote[2055].start 10437.03284375
transcript.pyannote[2055].end 10438.02846875
transcript.pyannote[2056].speaker SPEAKER_04
transcript.pyannote[2056].start 10438.02846875
transcript.pyannote[2056].end 10438.88909375
transcript.pyannote[2057].speaker SPEAKER_18
transcript.pyannote[2057].start 10440.67784375
transcript.pyannote[2057].end 10442.09534375
transcript.pyannote[2058].speaker SPEAKER_18
transcript.pyannote[2058].start 10442.73659375
transcript.pyannote[2058].end 10443.41159375
transcript.pyannote[2059].speaker SPEAKER_04
transcript.pyannote[2059].start 10443.52971875
transcript.pyannote[2059].end 10443.54659375
transcript.pyannote[2060].speaker SPEAKER_18
transcript.pyannote[2060].start 10443.54659375
transcript.pyannote[2060].end 10444.03596875
transcript.pyannote[2061].speaker SPEAKER_18
transcript.pyannote[2061].start 10444.55909375
transcript.pyannote[2061].end 10445.30159375
transcript.pyannote[2062].speaker SPEAKER_18
transcript.pyannote[2062].start 10446.02721875
transcript.pyannote[2062].end 10447.25909375
transcript.pyannote[2063].speaker SPEAKER_15
transcript.pyannote[2063].start 10447.25909375
transcript.pyannote[2063].end 10447.59659375
transcript.pyannote[2064].speaker SPEAKER_18
transcript.pyannote[2064].start 10449.38534375
transcript.pyannote[2064].end 10449.99284375
transcript.pyannote[2065].speaker SPEAKER_15
transcript.pyannote[2065].start 10450.38096875
transcript.pyannote[2065].end 10452.38909375
transcript.pyannote[2066].speaker SPEAKER_04
transcript.pyannote[2066].start 10450.87034375
transcript.pyannote[2066].end 10451.47784375
transcript.pyannote[2067].speaker SPEAKER_18
transcript.pyannote[2067].start 10451.47784375
transcript.pyannote[2067].end 10451.51159375
transcript.pyannote[2068].speaker SPEAKER_18
transcript.pyannote[2068].start 10452.77721875
transcript.pyannote[2068].end 10453.30034375
transcript.pyannote[2069].speaker SPEAKER_18
transcript.pyannote[2069].start 10453.38471875
transcript.pyannote[2069].end 10455.40971875
transcript.pyannote[2070].speaker SPEAKER_15
transcript.pyannote[2070].start 10455.64596875
transcript.pyannote[2070].end 10456.47284375
transcript.pyannote[2071].speaker SPEAKER_04
transcript.pyannote[2071].start 10456.47284375
transcript.pyannote[2071].end 10456.72596875
transcript.pyannote[2072].speaker SPEAKER_15
transcript.pyannote[2072].start 10456.87784375
transcript.pyannote[2072].end 10456.92846875
transcript.pyannote[2073].speaker SPEAKER_04
transcript.pyannote[2073].start 10456.92846875
transcript.pyannote[2073].end 10457.02971875
transcript.pyannote[2074].speaker SPEAKER_15
transcript.pyannote[2074].start 10457.02971875
transcript.pyannote[2074].end 10457.31659375
transcript.pyannote[2075].speaker SPEAKER_04
transcript.pyannote[2075].start 10457.31659375
transcript.pyannote[2075].end 10461.07971875
transcript.pyannote[2076].speaker SPEAKER_15
transcript.pyannote[2076].start 10457.33346875
transcript.pyannote[2076].end 10458.98721875
transcript.pyannote[2077].speaker SPEAKER_18
transcript.pyannote[2077].start 10461.07971875
transcript.pyannote[2077].end 10461.75471875
transcript.pyannote[2078].speaker SPEAKER_04
transcript.pyannote[2078].start 10461.68721875
transcript.pyannote[2078].end 10461.70409375
transcript.pyannote[2079].speaker SPEAKER_04
transcript.pyannote[2079].start 10461.75471875
transcript.pyannote[2079].end 10462.75034375
transcript.pyannote[2080].speaker SPEAKER_18
transcript.pyannote[2080].start 10462.80096875
transcript.pyannote[2080].end 10465.36596875
transcript.pyannote[2081].speaker SPEAKER_18
transcript.pyannote[2081].start 10465.45034375
transcript.pyannote[2081].end 10465.48409375
transcript.pyannote[2082].speaker SPEAKER_04
transcript.pyannote[2082].start 10465.48409375
transcript.pyannote[2082].end 10465.51784375
transcript.pyannote[2083].speaker SPEAKER_15
transcript.pyannote[2083].start 10465.51784375
transcript.pyannote[2083].end 10465.53471875
transcript.pyannote[2084].speaker SPEAKER_04
transcript.pyannote[2084].start 10465.53471875
transcript.pyannote[2084].end 10465.78784375
transcript.pyannote[2085].speaker SPEAKER_18
transcript.pyannote[2085].start 10465.93971875
transcript.pyannote[2085].end 10466.90159375
transcript.pyannote[2086].speaker SPEAKER_18
transcript.pyannote[2086].start 10467.23909375
transcript.pyannote[2086].end 10467.86346875
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 10468.18409375
transcript.pyannote[2087].end 10468.20096875
transcript.pyannote[2088].speaker SPEAKER_15
transcript.pyannote[2088].start 10468.20096875
transcript.pyannote[2088].end 10468.38659375
transcript.pyannote[2089].speaker SPEAKER_18
transcript.pyannote[2089].start 10468.96034375
transcript.pyannote[2089].end 10470.34409375
transcript.pyannote[2090].speaker SPEAKER_18
transcript.pyannote[2090].start 10471.64346875
transcript.pyannote[2090].end 10473.07784375
transcript.pyannote[2091].speaker SPEAKER_18
transcript.pyannote[2091].start 10473.58409375
transcript.pyannote[2091].end 10474.49534375
transcript.pyannote[2092].speaker SPEAKER_04
transcript.pyannote[2092].start 10476.63846875
transcript.pyannote[2092].end 10477.34721875
transcript.pyannote[2093].speaker SPEAKER_04
transcript.pyannote[2093].start 10478.12346875
transcript.pyannote[2093].end 10488.58596875
transcript.pyannote[2094].speaker SPEAKER_04
transcript.pyannote[2094].start 10489.56471875
transcript.pyannote[2094].end 10492.12971875
transcript.pyannote[2095].speaker SPEAKER_04
transcript.pyannote[2095].start 10492.14659375
transcript.pyannote[2095].end 10494.57659375
transcript.pyannote[2096].speaker SPEAKER_18
transcript.pyannote[2096].start 10495.47096875
transcript.pyannote[2096].end 10500.92159375
transcript.pyannote[2097].speaker SPEAKER_18
transcript.pyannote[2097].start 10501.49534375
transcript.pyannote[2097].end 10504.38096875
transcript.pyannote[2098].speaker SPEAKER_15
transcript.pyannote[2098].start 10502.01846875
transcript.pyannote[2098].end 10502.28846875
transcript.pyannote[2099].speaker SPEAKER_15
transcript.pyannote[2099].start 10502.94659375
transcript.pyannote[2099].end 10503.31784375
transcript.pyannote[2100].speaker SPEAKER_15
transcript.pyannote[2100].start 10503.60471875
transcript.pyannote[2100].end 10503.75659375
transcript.pyannote[2101].speaker SPEAKER_15
transcript.pyannote[2101].start 10504.38096875
transcript.pyannote[2101].end 10504.63409375
transcript.pyannote[2102].speaker SPEAKER_18
transcript.pyannote[2102].start 10505.12346875
transcript.pyannote[2102].end 10505.71409375
transcript.pyannote[2103].speaker SPEAKER_18
transcript.pyannote[2103].start 10506.08534375
transcript.pyannote[2103].end 10508.70096875
transcript.pyannote[2104].speaker SPEAKER_15
transcript.pyannote[2104].start 10508.58284375
transcript.pyannote[2104].end 10509.20721875
transcript.pyannote[2105].speaker SPEAKER_18
transcript.pyannote[2105].start 10508.97096875
transcript.pyannote[2105].end 10510.72596875
transcript.pyannote[2106].speaker SPEAKER_15
transcript.pyannote[2106].start 10510.77659375
transcript.pyannote[2106].end 10511.06346875
transcript.pyannote[2107].speaker SPEAKER_18
transcript.pyannote[2107].start 10511.72159375
transcript.pyannote[2107].end 10513.03784375
transcript.pyannote[2108].speaker SPEAKER_15
transcript.pyannote[2108].start 10513.07159375
transcript.pyannote[2108].end 10513.56096875
transcript.pyannote[2109].speaker SPEAKER_18
transcript.pyannote[2109].start 10514.30346875
transcript.pyannote[2109].end 10515.41721875
transcript.pyannote[2110].speaker SPEAKER_15
transcript.pyannote[2110].start 10515.67034375
transcript.pyannote[2110].end 10515.87284375
transcript.pyannote[2111].speaker SPEAKER_18
transcript.pyannote[2111].start 10516.24409375
transcript.pyannote[2111].end 10517.20596875
transcript.pyannote[2112].speaker SPEAKER_18
transcript.pyannote[2112].start 10517.67846875
transcript.pyannote[2112].end 10519.12971875
transcript.pyannote[2113].speaker SPEAKER_18
transcript.pyannote[2113].start 10519.65284375
transcript.pyannote[2113].end 10520.26034375
transcript.pyannote[2114].speaker SPEAKER_18
transcript.pyannote[2114].start 10520.59784375
transcript.pyannote[2114].end 10521.72846875
transcript.pyannote[2115].speaker SPEAKER_18
transcript.pyannote[2115].start 10521.88034375
transcript.pyannote[2115].end 10523.02784375
transcript.pyannote[2116].speaker SPEAKER_04
transcript.pyannote[2116].start 10523.92221875
transcript.pyannote[2116].end 10527.01034375
transcript.pyannote[2117].speaker SPEAKER_18
transcript.pyannote[2117].start 10528.00596875
transcript.pyannote[2117].end 10528.66409375
transcript.pyannote[2118].speaker SPEAKER_04
transcript.pyannote[2118].start 10528.66409375
transcript.pyannote[2118].end 10530.41909375
transcript.pyannote[2119].speaker SPEAKER_18
transcript.pyannote[2119].start 10531.48221875
transcript.pyannote[2119].end 10532.00534375
transcript.pyannote[2120].speaker SPEAKER_04
transcript.pyannote[2120].start 10532.08971875
transcript.pyannote[2120].end 10532.68034375
transcript.pyannote[2121].speaker SPEAKER_18
transcript.pyannote[2121].start 10532.91659375
transcript.pyannote[2121].end 10533.43971875
transcript.pyannote[2122].speaker SPEAKER_04
transcript.pyannote[2122].start 10534.01346875
transcript.pyannote[2122].end 10534.28346875
transcript.pyannote[2123].speaker SPEAKER_18
transcript.pyannote[2123].start 10534.80659375
transcript.pyannote[2123].end 10535.61659375
transcript.pyannote[2124].speaker SPEAKER_04
transcript.pyannote[2124].start 10535.81909375
transcript.pyannote[2124].end 10536.34221875
transcript.pyannote[2125].speaker SPEAKER_04
transcript.pyannote[2125].start 10536.56159375
transcript.pyannote[2125].end 10543.24409375
transcript.pyannote[2126].speaker SPEAKER_18
transcript.pyannote[2126].start 10543.39596875
transcript.pyannote[2126].end 10544.02034375
transcript.pyannote[2127].speaker SPEAKER_04
transcript.pyannote[2127].start 10544.54346875
transcript.pyannote[2127].end 10545.60659375
transcript.pyannote[2128].speaker SPEAKER_18
transcript.pyannote[2128].start 10545.67409375
transcript.pyannote[2128].end 10546.23096875
transcript.pyannote[2129].speaker SPEAKER_04
transcript.pyannote[2129].start 10546.83846875
transcript.pyannote[2129].end 10547.76659375
transcript.pyannote[2130].speaker SPEAKER_18
transcript.pyannote[2130].start 10548.15471875
transcript.pyannote[2130].end 10548.84659375
transcript.pyannote[2131].speaker SPEAKER_04
transcript.pyannote[2131].start 10548.84659375
transcript.pyannote[2131].end 10552.52534375
transcript.pyannote[2132].speaker SPEAKER_18
transcript.pyannote[2132].start 10551.12471875
transcript.pyannote[2132].end 10554.01034375
transcript.pyannote[2133].speaker SPEAKER_04
transcript.pyannote[2133].start 10553.63909375
transcript.pyannote[2133].end 10556.91284375
transcript.pyannote[2134].speaker SPEAKER_18
transcript.pyannote[2134].start 10556.81159375
transcript.pyannote[2134].end 10557.58784375
transcript.pyannote[2135].speaker SPEAKER_04
transcript.pyannote[2135].start 10557.36846875
transcript.pyannote[2135].end 10567.76346875
transcript.pyannote[2136].speaker SPEAKER_18
transcript.pyannote[2136].start 10559.96721875
transcript.pyannote[2136].end 10560.33846875
transcript.pyannote[2137].speaker SPEAKER_04
transcript.pyannote[2137].start 10568.11784375
transcript.pyannote[2137].end 10570.26096875
transcript.pyannote[2138].speaker SPEAKER_04
transcript.pyannote[2138].start 10571.25659375
transcript.pyannote[2138].end 10573.12971875
transcript.pyannote[2139].speaker SPEAKER_09
transcript.pyannote[2139].start 10573.60221875
transcript.pyannote[2139].end 10573.61909375
transcript.pyannote[2140].speaker SPEAKER_18
transcript.pyannote[2140].start 10573.61909375
transcript.pyannote[2140].end 10573.77096875
transcript.pyannote[2141].speaker SPEAKER_04
transcript.pyannote[2141].start 10573.66971875
transcript.pyannote[2141].end 10577.46659375
transcript.pyannote[2142].speaker SPEAKER_18
transcript.pyannote[2142].start 10577.66909375
transcript.pyannote[2142].end 10579.42409375
transcript.pyannote[2143].speaker SPEAKER_18
transcript.pyannote[2143].start 10579.62659375
transcript.pyannote[2143].end 10581.87096875
transcript.pyannote[2144].speaker SPEAKER_04
transcript.pyannote[2144].start 10581.09471875
transcript.pyannote[2144].end 10582.34346875
transcript.pyannote[2145].speaker SPEAKER_18
transcript.pyannote[2145].start 10582.49534375
transcript.pyannote[2145].end 10583.50784375
transcript.pyannote[2146].speaker SPEAKER_04
transcript.pyannote[2146].start 10584.03096875
transcript.pyannote[2146].end 10584.82409375
transcript.pyannote[2147].speaker SPEAKER_04
transcript.pyannote[2147].start 10585.98846875
transcript.pyannote[2147].end 10586.00534375
transcript.pyannote[2148].speaker SPEAKER_18
transcript.pyannote[2148].start 10586.00534375
transcript.pyannote[2148].end 10586.02221875
transcript.pyannote[2149].speaker SPEAKER_04
transcript.pyannote[2149].start 10586.02221875
transcript.pyannote[2149].end 10590.69659375
transcript.pyannote[2150].speaker SPEAKER_18
transcript.pyannote[2150].start 10586.17409375
transcript.pyannote[2150].end 10586.46096875
transcript.pyannote[2151].speaker SPEAKER_18
transcript.pyannote[2151].start 10590.84846875
transcript.pyannote[2151].end 10592.46846875
transcript.pyannote[2152].speaker SPEAKER_18
transcript.pyannote[2152].start 10593.37971875
transcript.pyannote[2152].end 10594.24034375
transcript.pyannote[2153].speaker SPEAKER_04
transcript.pyannote[2153].start 10594.24034375
transcript.pyannote[2153].end 10594.56096875
transcript.pyannote[2154].speaker SPEAKER_18
transcript.pyannote[2154].start 10594.89846875
transcript.pyannote[2154].end 10596.67034375
transcript.pyannote[2155].speaker SPEAKER_04
transcript.pyannote[2155].start 10597.41284375
transcript.pyannote[2155].end 10603.28534375
transcript.pyannote[2156].speaker SPEAKER_18
transcript.pyannote[2156].start 10602.94784375
transcript.pyannote[2156].end 10604.16284375
transcript.pyannote[2157].speaker SPEAKER_04
transcript.pyannote[2157].start 10604.06159375
transcript.pyannote[2157].end 10622.15159375
transcript.pyannote[2158].speaker SPEAKER_04
transcript.pyannote[2158].start 10622.79284375
transcript.pyannote[2158].end 10627.29846875
transcript.pyannote[2159].speaker SPEAKER_04
transcript.pyannote[2159].start 10627.92284375
transcript.pyannote[2159].end 10629.49221875
transcript.pyannote[2160].speaker SPEAKER_04
transcript.pyannote[2160].start 10629.93096875
transcript.pyannote[2160].end 10630.87596875
transcript.pyannote[2161].speaker SPEAKER_04
transcript.pyannote[2161].start 10632.09096875
transcript.pyannote[2161].end 10641.65909375
transcript.pyannote[2162].speaker SPEAKER_04
transcript.pyannote[2162].start 10642.41846875
transcript.pyannote[2162].end 10646.33346875
transcript.pyannote[2163].speaker SPEAKER_09
transcript.pyannote[2163].start 10642.75596875
transcript.pyannote[2163].end 10642.85721875
transcript.pyannote[2164].speaker SPEAKER_15
transcript.pyannote[2164].start 10642.85721875
transcript.pyannote[2164].end 10642.87409375
transcript.pyannote[2165].speaker SPEAKER_18
transcript.pyannote[2165].start 10642.87409375
transcript.pyannote[2165].end 10642.94159375
transcript.pyannote[2166].speaker SPEAKER_04
transcript.pyannote[2166].start 10646.95784375
transcript.pyannote[2166].end 10650.45096875
transcript.pyannote[2167].speaker SPEAKER_04
transcript.pyannote[2167].start 10650.94034375
transcript.pyannote[2167].end 10652.39159375
transcript.pyannote[2168].speaker SPEAKER_04
transcript.pyannote[2168].start 10652.86409375
transcript.pyannote[2168].end 10661.47034375
transcript.pyannote[2169].speaker SPEAKER_04
transcript.pyannote[2169].start 10661.60534375
transcript.pyannote[2169].end 10662.55034375
transcript.pyannote[2170].speaker SPEAKER_04
transcript.pyannote[2170].start 10662.88784375
transcript.pyannote[2170].end 10668.43971875
transcript.pyannote[2171].speaker SPEAKER_04
transcript.pyannote[2171].start 10669.01346875
transcript.pyannote[2171].end 10670.02596875
transcript.pyannote[2172].speaker SPEAKER_18
transcript.pyannote[2172].start 10670.02596875
transcript.pyannote[2172].end 10673.56971875
transcript.pyannote[2173].speaker SPEAKER_04
transcript.pyannote[2173].start 10673.65409375
transcript.pyannote[2173].end 10676.10096875
transcript.pyannote[2174].speaker SPEAKER_18
transcript.pyannote[2174].start 10675.52721875
transcript.pyannote[2174].end 10678.49721875
transcript.pyannote[2175].speaker SPEAKER_04
transcript.pyannote[2175].start 10678.34534375
transcript.pyannote[2175].end 10687.67721875
transcript.pyannote[2176].speaker SPEAKER_18
transcript.pyannote[2176].start 10679.25659375
transcript.pyannote[2176].end 10680.96096875
transcript.pyannote[2177].speaker SPEAKER_18
transcript.pyannote[2177].start 10687.67721875
transcript.pyannote[2177].end 10692.58784375
transcript.pyannote[2178].speaker SPEAKER_04
transcript.pyannote[2178].start 10692.58784375
transcript.pyannote[2178].end 10692.99284375
transcript.pyannote[2179].speaker SPEAKER_18
transcript.pyannote[2179].start 10692.99284375
transcript.pyannote[2179].end 10693.00971875
transcript.pyannote[2180].speaker SPEAKER_18
transcript.pyannote[2180].start 10693.78596875
transcript.pyannote[2180].end 10698.00471875
transcript.pyannote[2181].speaker SPEAKER_04
transcript.pyannote[2181].start 10698.22409375
transcript.pyannote[2181].end 10699.03409375
transcript.pyannote[2182].speaker SPEAKER_18
transcript.pyannote[2182].start 10699.32096875
transcript.pyannote[2182].end 10701.16034375
transcript.pyannote[2183].speaker SPEAKER_04
transcript.pyannote[2183].start 10699.70909375
transcript.pyannote[2183].end 10700.31659375
transcript.pyannote[2184].speaker SPEAKER_04
transcript.pyannote[2184].start 10701.44721875
transcript.pyannote[2184].end 10702.13909375
transcript.pyannote[2185].speaker SPEAKER_18
transcript.pyannote[2185].start 10702.47659375
transcript.pyannote[2185].end 10705.39596875
transcript.pyannote[2186].speaker SPEAKER_04
transcript.pyannote[2186].start 10702.99971875
transcript.pyannote[2186].end 10703.20221875
transcript.pyannote[2187].speaker SPEAKER_18
transcript.pyannote[2187].start 10705.85159375
transcript.pyannote[2187].end 10709.78346875
transcript.pyannote[2188].speaker SPEAKER_04
transcript.pyannote[2188].start 10709.95221875
transcript.pyannote[2188].end 10712.07846875
transcript.pyannote[2189].speaker SPEAKER_04
transcript.pyannote[2189].start 10712.53409375
transcript.pyannote[2189].end 10716.93846875
transcript.pyannote[2190].speaker SPEAKER_18
transcript.pyannote[2190].start 10712.58471875
transcript.pyannote[2190].end 10714.20471875
transcript.pyannote[2191].speaker SPEAKER_18
transcript.pyannote[2191].start 10717.00596875
transcript.pyannote[2191].end 10719.41909375
transcript.pyannote[2192].speaker SPEAKER_18
transcript.pyannote[2192].start 10719.55409375
transcript.pyannote[2192].end 10721.20784375
transcript.pyannote[2193].speaker SPEAKER_04
transcript.pyannote[2193].start 10719.65534375
transcript.pyannote[2193].end 10733.30721875
transcript.pyannote[2194].speaker SPEAKER_18
transcript.pyannote[2194].start 10725.81471875
transcript.pyannote[2194].end 10727.50221875
transcript.pyannote[2195].speaker SPEAKER_04
transcript.pyannote[2195].start 10733.81346875
transcript.pyannote[2195].end 10736.47971875
transcript.pyannote[2196].speaker SPEAKER_18
transcript.pyannote[2196].start 10733.83034375
transcript.pyannote[2196].end 10735.21409375
transcript.pyannote[2197].speaker SPEAKER_18
transcript.pyannote[2197].start 10735.99034375
transcript.pyannote[2197].end 10737.99846875
transcript.pyannote[2198].speaker SPEAKER_04
transcript.pyannote[2198].start 10738.26846875
transcript.pyannote[2198].end 10741.23846875
transcript.pyannote[2199].speaker SPEAKER_04
transcript.pyannote[2199].start 10741.33971875
transcript.pyannote[2199].end 10759.09221875
transcript.pyannote[2200].speaker SPEAKER_00
transcript.pyannote[2200].start 10754.26596875
transcript.pyannote[2200].end 10754.53596875
transcript.pyannote[2201].speaker SPEAKER_09
transcript.pyannote[2201].start 10754.53596875
transcript.pyannote[2201].end 10754.75534375
transcript.pyannote[2202].speaker SPEAKER_00
transcript.pyannote[2202].start 10754.75534375
transcript.pyannote[2202].end 10754.87346875
transcript.pyannote[2203].speaker SPEAKER_04
transcript.pyannote[2203].start 10759.42971875
transcript.pyannote[2203].end 10765.36971875
transcript.pyannote[2204].speaker SPEAKER_18
transcript.pyannote[2204].start 10764.40784375
transcript.pyannote[2204].end 10767.31034375
transcript.pyannote[2205].speaker SPEAKER_04
transcript.pyannote[2205].start 10768.01909375
transcript.pyannote[2205].end 10769.50409375
transcript.pyannote[2206].speaker SPEAKER_18
transcript.pyannote[2206].start 10769.70659375
transcript.pyannote[2206].end 10770.31409375
transcript.pyannote[2207].speaker SPEAKER_04
transcript.pyannote[2207].start 10770.31409375
transcript.pyannote[2207].end 10774.78596875
transcript.pyannote[2208].speaker SPEAKER_18
transcript.pyannote[2208].start 10771.03971875
transcript.pyannote[2208].end 10774.97159375
transcript.pyannote[2209].speaker SPEAKER_04
transcript.pyannote[2209].start 10775.07284375
transcript.pyannote[2209].end 10779.24096875
transcript.pyannote[2210].speaker SPEAKER_18
transcript.pyannote[2210].start 10779.15659375
transcript.pyannote[2210].end 10779.51096875
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 10779.51096875
transcript.pyannote[2211].end 10781.72159375
transcript.pyannote[2212].speaker SPEAKER_18
transcript.pyannote[2212].start 10780.13534375
transcript.pyannote[2212].end 10781.68784375
transcript.pyannote[2213].speaker SPEAKER_18
transcript.pyannote[2213].start 10781.72159375
transcript.pyannote[2213].end 10781.77221875
transcript.pyannote[2214].speaker SPEAKER_04
transcript.pyannote[2214].start 10781.77221875
transcript.pyannote[2214].end 10782.37971875
transcript.pyannote[2215].speaker SPEAKER_18
transcript.pyannote[2215].start 10781.83971875
transcript.pyannote[2215].end 10783.76346875
transcript.pyannote[2216].speaker SPEAKER_18
transcript.pyannote[2216].start 10783.88159375
transcript.pyannote[2216].end 10784.25284375
transcript.pyannote[2217].speaker SPEAKER_18
transcript.pyannote[2217].start 10784.74221875
transcript.pyannote[2217].end 10786.51409375
transcript.pyannote[2218].speaker SPEAKER_04
transcript.pyannote[2218].start 10786.78409375
transcript.pyannote[2218].end 10788.99471875
transcript.pyannote[2219].speaker SPEAKER_04
transcript.pyannote[2219].start 10789.56846875
transcript.pyannote[2219].end 10792.72409375
transcript.pyannote[2220].speaker SPEAKER_04
transcript.pyannote[2220].start 10792.97721875
transcript.pyannote[2220].end 10794.09096875
transcript.pyannote[2221].speaker SPEAKER_04
transcript.pyannote[2221].start 10794.41159375
transcript.pyannote[2221].end 10800.08159375
transcript.pyannote[2222].speaker SPEAKER_04
transcript.pyannote[2222].start 10800.41909375
transcript.pyannote[2222].end 10812.70409375
transcript.pyannote[2223].speaker SPEAKER_04
transcript.pyannote[2223].start 10813.41284375
transcript.pyannote[2223].end 10816.46721875
transcript.pyannote[2224].speaker SPEAKER_04
transcript.pyannote[2224].start 10817.34471875
transcript.pyannote[2224].end 10827.30096875
transcript.pyannote[2225].speaker SPEAKER_18
transcript.pyannote[2225].start 10826.91284375
transcript.pyannote[2225].end 10828.29659375
transcript.pyannote[2226].speaker SPEAKER_04
transcript.pyannote[2226].start 10828.24596875
transcript.pyannote[2226].end 10830.59159375
transcript.pyannote[2227].speaker SPEAKER_18
transcript.pyannote[2227].start 10830.49034375
transcript.pyannote[2227].end 10832.12721875
transcript.pyannote[2228].speaker SPEAKER_04
transcript.pyannote[2228].start 10830.79409375
transcript.pyannote[2228].end 10830.87846875
transcript.pyannote[2229].speaker SPEAKER_04
transcript.pyannote[2229].start 10832.32971875
transcript.pyannote[2229].end 10835.29971875
transcript.pyannote[2230].speaker SPEAKER_18
transcript.pyannote[2230].start 10833.66284375
transcript.pyannote[2230].end 10836.78471875
transcript.pyannote[2231].speaker SPEAKER_04
transcript.pyannote[2231].start 10836.32909375
transcript.pyannote[2231].end 10845.00284375
transcript.pyannote[2232].speaker SPEAKER_18
transcript.pyannote[2232].start 10845.15471875
transcript.pyannote[2232].end 10848.47909375
transcript.pyannote[2233].speaker SPEAKER_04
transcript.pyannote[2233].start 10845.91409375
transcript.pyannote[2233].end 10849.52534375
transcript.pyannote[2234].speaker SPEAKER_18
transcript.pyannote[2234].start 10848.88409375
transcript.pyannote[2234].end 10849.77846875
transcript.pyannote[2235].speaker SPEAKER_04
transcript.pyannote[2235].start 10850.08221875
transcript.pyannote[2235].end 10864.32471875
transcript.pyannote[2236].speaker SPEAKER_18
transcript.pyannote[2236].start 10861.00034375
transcript.pyannote[2236].end 10862.18159375
transcript.pyannote[2237].speaker SPEAKER_18
transcript.pyannote[2237].start 10862.75534375
transcript.pyannote[2237].end 10865.53971875
transcript.pyannote[2238].speaker SPEAKER_18
transcript.pyannote[2238].start 10865.82659375
transcript.pyannote[2238].end 10871.63159375
transcript.pyannote[2239].speaker SPEAKER_18
transcript.pyannote[2239].start 10872.17159375
transcript.pyannote[2239].end 10873.33596875
transcript.pyannote[2240].speaker SPEAKER_18
transcript.pyannote[2240].start 10873.94346875
transcript.pyannote[2240].end 10877.06534375
transcript.pyannote[2241].speaker SPEAKER_18
transcript.pyannote[2241].start 10877.72346875
transcript.pyannote[2241].end 10879.00596875
transcript.pyannote[2242].speaker SPEAKER_18
transcript.pyannote[2242].start 10880.15346875
transcript.pyannote[2242].end 10881.70596875
transcript.pyannote[2243].speaker SPEAKER_04
transcript.pyannote[2243].start 10880.28846875
transcript.pyannote[2243].end 10909.09409375
transcript.pyannote[2244].speaker SPEAKER_18
transcript.pyannote[2244].start 10885.62096875
transcript.pyannote[2244].end 10886.21159375
transcript.pyannote[2245].speaker SPEAKER_04
transcript.pyannote[2245].start 10909.81971875
transcript.pyannote[2245].end 10912.51971875
transcript.pyannote[2246].speaker SPEAKER_09
transcript.pyannote[2246].start 10912.51971875
transcript.pyannote[2246].end 10912.78971875
transcript.pyannote[2247].speaker SPEAKER_04
transcript.pyannote[2247].start 10912.67159375
transcript.pyannote[2247].end 10915.13534375
transcript.pyannote[2248].speaker SPEAKER_04
transcript.pyannote[2248].start 10915.40534375
transcript.pyannote[2248].end 10920.41721875
transcript.pyannote[2249].speaker SPEAKER_04
transcript.pyannote[2249].start 10921.17659375
transcript.pyannote[2249].end 10922.23971875
transcript.pyannote[2250].speaker SPEAKER_18
transcript.pyannote[2250].start 10922.54346875
transcript.pyannote[2250].end 10923.06659375
transcript.pyannote[2251].speaker SPEAKER_18
transcript.pyannote[2251].start 10923.47159375
transcript.pyannote[2251].end 10925.05784375
transcript.pyannote[2252].speaker SPEAKER_04
transcript.pyannote[2252].start 10925.32784375
transcript.pyannote[2252].end 10925.34471875
transcript.pyannote[2253].speaker SPEAKER_18
transcript.pyannote[2253].start 10925.34471875
transcript.pyannote[2253].end 10926.37409375
transcript.pyannote[2254].speaker SPEAKER_18
transcript.pyannote[2254].start 10927.11659375
transcript.pyannote[2254].end 10927.72409375
transcript.pyannote[2255].speaker SPEAKER_18
transcript.pyannote[2255].start 10928.26409375
transcript.pyannote[2255].end 10934.52471875
transcript.pyannote[2256].speaker SPEAKER_04
transcript.pyannote[2256].start 10931.70659375
transcript.pyannote[2256].end 10934.57534375
transcript.pyannote[2257].speaker SPEAKER_18
transcript.pyannote[2257].start 10934.57534375
transcript.pyannote[2257].end 10939.01346875
transcript.pyannote[2258].speaker SPEAKER_04
transcript.pyannote[2258].start 10938.28784375
transcript.pyannote[2258].end 10940.17784375
transcript.pyannote[2259].speaker SPEAKER_18
transcript.pyannote[2259].start 10939.67159375
transcript.pyannote[2259].end 10940.39721875
transcript.pyannote[2260].speaker SPEAKER_04
transcript.pyannote[2260].start 10940.36346875
transcript.pyannote[2260].end 10943.41784375
transcript.pyannote[2261].speaker SPEAKER_18
transcript.pyannote[2261].start 10944.02534375
transcript.pyannote[2261].end 10948.64909375
transcript.pyannote[2262].speaker SPEAKER_04
transcript.pyannote[2262].start 10947.36659375
transcript.pyannote[2262].end 10947.75471875
transcript.pyannote[2263].speaker SPEAKER_04
transcript.pyannote[2263].start 10949.34096875
transcript.pyannote[2263].end 10950.64034375
transcript.pyannote[2264].speaker SPEAKER_04
transcript.pyannote[2264].start 10951.23096875
transcript.pyannote[2264].end 10952.46284375
transcript.pyannote[2265].speaker SPEAKER_18
transcript.pyannote[2265].start 10953.67784375
transcript.pyannote[2265].end 10954.23471875
transcript.pyannote[2266].speaker SPEAKER_04
transcript.pyannote[2266].start 10954.31909375
transcript.pyannote[2266].end 10956.71534375
transcript.pyannote[2267].speaker SPEAKER_18
transcript.pyannote[2267].start 10956.71534375
transcript.pyannote[2267].end 10962.48659375
transcript.pyannote[2268].speaker SPEAKER_04
transcript.pyannote[2268].start 10957.86284375
transcript.pyannote[2268].end 10958.30159375
transcript.pyannote[2269].speaker SPEAKER_04
transcript.pyannote[2269].start 10960.61346875
transcript.pyannote[2269].end 10961.28846875
transcript.pyannote[2270].speaker SPEAKER_04
transcript.pyannote[2270].start 10962.40221875
transcript.pyannote[2270].end 10963.31346875
transcript.pyannote[2271].speaker SPEAKER_18
transcript.pyannote[2271].start 10963.00971875
transcript.pyannote[2271].end 10964.74784375
transcript.pyannote[2272].speaker SPEAKER_04
transcript.pyannote[2272].start 10963.36409375
transcript.pyannote[2272].end 10964.57909375
transcript.pyannote[2273].speaker SPEAKER_04
transcript.pyannote[2273].start 10964.84909375
transcript.pyannote[2273].end 10965.13596875
transcript.pyannote[2274].speaker SPEAKER_18
transcript.pyannote[2274].start 10965.13596875
transcript.pyannote[2274].end 10965.97971875
transcript.pyannote[2275].speaker SPEAKER_04
transcript.pyannote[2275].start 10965.97971875
transcript.pyannote[2275].end 10967.78534375
transcript.pyannote[2276].speaker SPEAKER_18
transcript.pyannote[2276].start 10967.53221875
transcript.pyannote[2276].end 10968.73034375
transcript.pyannote[2277].speaker SPEAKER_04
transcript.pyannote[2277].start 10968.94971875
transcript.pyannote[2277].end 10969.89471875
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 10970.04659375
transcript.pyannote[2278].end 10970.38409375
transcript.pyannote[2279].speaker SPEAKER_18
transcript.pyannote[2279].start 10970.48534375
transcript.pyannote[2279].end 10970.53596875
transcript.pyannote[2280].speaker SPEAKER_04
transcript.pyannote[2280].start 10970.53596875
transcript.pyannote[2280].end 10974.33284375
transcript.pyannote[2281].speaker SPEAKER_18
transcript.pyannote[2281].start 10970.58659375
transcript.pyannote[2281].end 10978.97346875
transcript.pyannote[2282].speaker SPEAKER_04
transcript.pyannote[2282].start 10975.15971875
transcript.pyannote[2282].end 10975.64909375
transcript.pyannote[2283].speaker SPEAKER_18
transcript.pyannote[2283].start 10979.61471875
transcript.pyannote[2283].end 10981.23471875
transcript.pyannote[2284].speaker SPEAKER_18
transcript.pyannote[2284].start 10982.01096875
transcript.pyannote[2284].end 10985.68971875
transcript.pyannote[2285].speaker SPEAKER_09
transcript.pyannote[2285].start 10985.50409375
transcript.pyannote[2285].end 10985.63909375
transcript.pyannote[2286].speaker SPEAKER_09
transcript.pyannote[2286].start 10985.68971875
transcript.pyannote[2286].end 10986.38159375
transcript.pyannote[2287].speaker SPEAKER_18
transcript.pyannote[2287].start 10986.11159375
transcript.pyannote[2287].end 10987.61346875
transcript.pyannote[2288].speaker SPEAKER_19
transcript.pyannote[2288].start 10986.38159375
transcript.pyannote[2288].end 10986.55034375
transcript.pyannote[2289].speaker SPEAKER_18
transcript.pyannote[2289].start 10987.84971875
transcript.pyannote[2289].end 10993.11471875
transcript.pyannote[2290].speaker SPEAKER_18
transcript.pyannote[2290].start 10993.38471875
transcript.pyannote[2290].end 10995.17346875
transcript.pyannote[2291].speaker SPEAKER_04
transcript.pyannote[2291].start 10995.17346875
transcript.pyannote[2291].end 11000.11784375
transcript.pyannote[2292].speaker SPEAKER_18
transcript.pyannote[2292].start 10996.55721875
transcript.pyannote[2292].end 10997.23221875
transcript.pyannote[2293].speaker SPEAKER_18
transcript.pyannote[2293].start 10998.80159375
transcript.pyannote[2293].end 11001.04596875
transcript.pyannote[2294].speaker SPEAKER_04
transcript.pyannote[2294].start 11001.04596875
transcript.pyannote[2294].end 11020.18221875
transcript.pyannote[2295].speaker SPEAKER_18
transcript.pyannote[2295].start 11002.41284375
transcript.pyannote[2295].end 11003.35784375
transcript.pyannote[2296].speaker SPEAKER_09
transcript.pyannote[2296].start 11003.35784375
transcript.pyannote[2296].end 11003.37471875
transcript.pyannote[2297].speaker SPEAKER_15
transcript.pyannote[2297].start 11003.37471875
transcript.pyannote[2297].end 11003.44221875
transcript.pyannote[2298].speaker SPEAKER_15
transcript.pyannote[2298].start 11011.32284375
transcript.pyannote[2298].end 11011.33971875
transcript.pyannote[2299].speaker SPEAKER_09
transcript.pyannote[2299].start 11011.33971875
transcript.pyannote[2299].end 11011.59284375
transcript.pyannote[2300].speaker SPEAKER_15
transcript.pyannote[2300].start 11011.59284375
transcript.pyannote[2300].end 11011.81221875
transcript.pyannote[2301].speaker SPEAKER_09
transcript.pyannote[2301].start 11011.81221875
transcript.pyannote[2301].end 11012.97659375
transcript.pyannote[2302].speaker SPEAKER_00
transcript.pyannote[2302].start 11012.97659375
transcript.pyannote[2302].end 11013.58409375
transcript.pyannote[2303].speaker SPEAKER_00
transcript.pyannote[2303].start 11014.88346875
transcript.pyannote[2303].end 11016.19971875
transcript.pyannote[2304].speaker SPEAKER_18
transcript.pyannote[2304].start 11017.04346875
transcript.pyannote[2304].end 11018.25846875
transcript.pyannote[2305].speaker SPEAKER_04
transcript.pyannote[2305].start 11020.67159375
transcript.pyannote[2305].end 11023.06784375
transcript.pyannote[2306].speaker SPEAKER_04
transcript.pyannote[2306].start 11023.32096875
transcript.pyannote[2306].end 11024.65409375
transcript.pyannote[2307].speaker SPEAKER_18
transcript.pyannote[2307].start 11024.58659375
transcript.pyannote[2307].end 11024.62034375
transcript.pyannote[2308].speaker SPEAKER_18
transcript.pyannote[2308].start 11024.65409375
transcript.pyannote[2308].end 11025.17721875
transcript.pyannote[2309].speaker SPEAKER_18
transcript.pyannote[2309].start 11026.02096875
transcript.pyannote[2309].end 11032.29846875
transcript.pyannote[2310].speaker SPEAKER_04
transcript.pyannote[2310].start 11027.35409375
transcript.pyannote[2310].end 11028.11346875
transcript.pyannote[2311].speaker SPEAKER_18
transcript.pyannote[2311].start 11032.61909375
transcript.pyannote[2311].end 11033.19284375
transcript.pyannote[2312].speaker SPEAKER_18
transcript.pyannote[2312].start 11033.81721875
transcript.pyannote[2312].end 11034.37409375
transcript.pyannote[2313].speaker SPEAKER_09
transcript.pyannote[2313].start 11034.54284375
transcript.pyannote[2313].end 11034.81284375
transcript.pyannote[2314].speaker SPEAKER_18
transcript.pyannote[2314].start 11035.87596875
transcript.pyannote[2314].end 11038.44096875
transcript.pyannote[2315].speaker SPEAKER_18
transcript.pyannote[2315].start 11038.99784375
transcript.pyannote[2315].end 11040.09471875
transcript.pyannote[2316].speaker SPEAKER_04
transcript.pyannote[2316].start 11040.21284375
transcript.pyannote[2316].end 11040.90471875
transcript.pyannote[2317].speaker SPEAKER_18
transcript.pyannote[2317].start 11041.14096875
transcript.pyannote[2317].end 11041.90034375
transcript.pyannote[2318].speaker SPEAKER_04
transcript.pyannote[2318].start 11042.27159375
transcript.pyannote[2318].end 11043.11534375
transcript.pyannote[2319].speaker SPEAKER_18
transcript.pyannote[2319].start 11043.28409375
transcript.pyannote[2319].end 11044.36409375
transcript.pyannote[2320].speaker SPEAKER_04
transcript.pyannote[2320].start 11044.36409375
transcript.pyannote[2320].end 11046.22034375
transcript.pyannote[2321].speaker SPEAKER_18
transcript.pyannote[2321].start 11046.22034375
transcript.pyannote[2321].end 11048.65034375
transcript.pyannote[2322].speaker SPEAKER_04
transcript.pyannote[2322].start 11047.43534375
transcript.pyannote[2322].end 11050.47284375
transcript.pyannote[2323].speaker SPEAKER_18
transcript.pyannote[2323].start 11050.67534375
transcript.pyannote[2323].end 11056.10909375
transcript.pyannote[2324].speaker SPEAKER_04
transcript.pyannote[2324].start 11055.58596875
transcript.pyannote[2324].end 11056.96971875
transcript.pyannote[2325].speaker SPEAKER_18
transcript.pyannote[2325].start 11056.39596875
transcript.pyannote[2325].end 11056.69971875
transcript.pyannote[2326].speaker SPEAKER_18
transcript.pyannote[2326].start 11056.96971875
transcript.pyannote[2326].end 11057.17221875
transcript.pyannote[2327].speaker SPEAKER_04
transcript.pyannote[2327].start 11057.17221875
transcript.pyannote[2327].end 11057.25659375
transcript.pyannote[2328].speaker SPEAKER_18
transcript.pyannote[2328].start 11057.25659375
transcript.pyannote[2328].end 11057.27346875
transcript.pyannote[2329].speaker SPEAKER_04
transcript.pyannote[2329].start 11057.27346875
transcript.pyannote[2329].end 11057.45909375
transcript.pyannote[2330].speaker SPEAKER_18
transcript.pyannote[2330].start 11057.45909375
transcript.pyannote[2330].end 11057.50971875
transcript.pyannote[2331].speaker SPEAKER_04
transcript.pyannote[2331].start 11057.50971875
transcript.pyannote[2331].end 11057.52659375
transcript.pyannote[2332].speaker SPEAKER_18
transcript.pyannote[2332].start 11057.52659375
transcript.pyannote[2332].end 11057.56034375
transcript.pyannote[2333].speaker SPEAKER_04
transcript.pyannote[2333].start 11057.56034375
transcript.pyannote[2333].end 11057.62784375
transcript.pyannote[2334].speaker SPEAKER_18
transcript.pyannote[2334].start 11057.62784375
transcript.pyannote[2334].end 11057.93159375
transcript.pyannote[2335].speaker SPEAKER_04
transcript.pyannote[2335].start 11057.93159375
transcript.pyannote[2335].end 11058.64034375
transcript.pyannote[2336].speaker SPEAKER_18
transcript.pyannote[2336].start 11058.64034375
transcript.pyannote[2336].end 11058.65721875
transcript.pyannote[2337].speaker SPEAKER_04
transcript.pyannote[2337].start 11058.65721875
transcript.pyannote[2337].end 11059.41659375
transcript.pyannote[2338].speaker SPEAKER_18
transcript.pyannote[2338].start 11058.67409375
transcript.pyannote[2338].end 11060.36159375
transcript.pyannote[2339].speaker SPEAKER_04
transcript.pyannote[2339].start 11059.78784375
transcript.pyannote[2339].end 11060.42909375
transcript.pyannote[2340].speaker SPEAKER_18
transcript.pyannote[2340].start 11060.42909375
transcript.pyannote[2340].end 11060.59784375
transcript.pyannote[2341].speaker SPEAKER_04
transcript.pyannote[2341].start 11060.59784375
transcript.pyannote[2341].end 11060.69909375
transcript.pyannote[2342].speaker SPEAKER_18
transcript.pyannote[2342].start 11060.69909375
transcript.pyannote[2342].end 11060.80034375
transcript.pyannote[2343].speaker SPEAKER_04
transcript.pyannote[2343].start 11060.80034375
transcript.pyannote[2343].end 11060.93534375
transcript.pyannote[2344].speaker SPEAKER_18
transcript.pyannote[2344].start 11060.93534375
transcript.pyannote[2344].end 11061.03659375
transcript.pyannote[2345].speaker SPEAKER_04
transcript.pyannote[2345].start 11061.03659375
transcript.pyannote[2345].end 11064.68159375
transcript.pyannote[2346].speaker SPEAKER_04
transcript.pyannote[2346].start 11064.98534375
transcript.pyannote[2346].end 11065.00221875
transcript.pyannote[2347].speaker SPEAKER_18
transcript.pyannote[2347].start 11065.00221875
transcript.pyannote[2347].end 11075.81909375
transcript.pyannote[2348].speaker SPEAKER_04
transcript.pyannote[2348].start 11075.80221875
transcript.pyannote[2348].end 11077.21971875
transcript.pyannote[2349].speaker SPEAKER_18
transcript.pyannote[2349].start 11077.59096875
transcript.pyannote[2349].end 11078.29971875
transcript.pyannote[2350].speaker SPEAKER_04
transcript.pyannote[2350].start 11078.04659375
transcript.pyannote[2350].end 11079.16034375
transcript.pyannote[2351].speaker SPEAKER_04
transcript.pyannote[2351].start 11079.26159375
transcript.pyannote[2351].end 11081.60721875
transcript.pyannote[2352].speaker SPEAKER_18
transcript.pyannote[2352].start 11079.49784375
transcript.pyannote[2352].end 11081.87721875
transcript.pyannote[2353].speaker SPEAKER_04
transcript.pyannote[2353].start 11081.79284375
transcript.pyannote[2353].end 11092.28909375
transcript.pyannote[2354].speaker SPEAKER_18
transcript.pyannote[2354].start 11086.48409375
transcript.pyannote[2354].end 11087.39534375
transcript.pyannote[2355].speaker SPEAKER_18
transcript.pyannote[2355].start 11091.20909375
transcript.pyannote[2355].end 11091.24284375
transcript.pyannote[2356].speaker SPEAKER_18
transcript.pyannote[2356].start 11091.25971875
transcript.pyannote[2356].end 11096.79471875
transcript.pyannote[2357].speaker SPEAKER_18
transcript.pyannote[2357].start 11097.23346875
transcript.pyannote[2357].end 11100.52409375
transcript.pyannote[2358].speaker SPEAKER_04
transcript.pyannote[2358].start 11100.15284375
transcript.pyannote[2358].end 11104.97909375
transcript.pyannote[2359].speaker SPEAKER_18
transcript.pyannote[2359].start 11101.84034375
transcript.pyannote[2359].end 11102.92034375
transcript.pyannote[2360].speaker SPEAKER_18
transcript.pyannote[2360].start 11103.66284375
transcript.pyannote[2360].end 11104.64159375
transcript.pyannote[2361].speaker SPEAKER_18
transcript.pyannote[2361].start 11104.97909375
transcript.pyannote[2361].end 11109.29909375
transcript.pyannote[2362].speaker SPEAKER_18
transcript.pyannote[2362].start 11109.72096875
transcript.pyannote[2362].end 11110.90221875
transcript.pyannote[2363].speaker SPEAKER_18
transcript.pyannote[2363].start 11111.10471875
transcript.pyannote[2363].end 11111.47596875
transcript.pyannote[2364].speaker SPEAKER_18
transcript.pyannote[2364].start 11112.06659375
transcript.pyannote[2364].end 11112.92721875
transcript.pyannote[2365].speaker SPEAKER_18
transcript.pyannote[2365].start 11112.94409375
transcript.pyannote[2365].end 11112.96096875
transcript.pyannote[2366].speaker SPEAKER_04
transcript.pyannote[2366].start 11112.96096875
transcript.pyannote[2366].end 11113.21409375
transcript.pyannote[2367].speaker SPEAKER_18
transcript.pyannote[2367].start 11113.41659375
transcript.pyannote[2367].end 11118.96846875
transcript.pyannote[2368].speaker SPEAKER_04
transcript.pyannote[2368].start 11115.91409375
transcript.pyannote[2368].end 11115.93096875
transcript.pyannote[2369].speaker SPEAKER_04
transcript.pyannote[2369].start 11117.70284375
transcript.pyannote[2369].end 11121.19596875
transcript.pyannote[2370].speaker SPEAKER_04
transcript.pyannote[2370].start 11121.90471875
transcript.pyannote[2370].end 11121.93846875
transcript.pyannote[2371].speaker SPEAKER_19
transcript.pyannote[2371].start 11121.93846875
transcript.pyannote[2371].end 11122.61346875
transcript.pyannote[2372].speaker SPEAKER_04
transcript.pyannote[2372].start 11122.61346875
transcript.pyannote[2372].end 11122.66409375
transcript.pyannote[2373].speaker SPEAKER_19
transcript.pyannote[2373].start 11123.81159375
transcript.pyannote[2373].end 11133.00846875
transcript.pyannote[2374].speaker SPEAKER_08
transcript.pyannote[2374].start 11139.28596875
transcript.pyannote[2374].end 11140.90596875
transcript.pyannote[2375].speaker SPEAKER_19
transcript.pyannote[2375].start 11141.09159375
transcript.pyannote[2375].end 11142.72846875
transcript.pyannote[2376].speaker SPEAKER_08
transcript.pyannote[2376].start 11147.30159375
transcript.pyannote[2376].end 11147.62221875
transcript.pyannote[2377].speaker SPEAKER_04
transcript.pyannote[2377].start 11147.62221875
transcript.pyannote[2377].end 11148.58409375
transcript.pyannote[2378].speaker SPEAKER_04
transcript.pyannote[2378].start 11148.66846875
transcript.pyannote[2378].end 11148.68534375
transcript.pyannote[2379].speaker SPEAKER_08
transcript.pyannote[2379].start 11148.68534375
transcript.pyannote[2379].end 11150.67659375
transcript.pyannote[2380].speaker SPEAKER_04
transcript.pyannote[2380].start 11150.67659375
transcript.pyannote[2380].end 11150.74409375
transcript.pyannote[2381].speaker SPEAKER_04
transcript.pyannote[2381].start 11150.96346875
transcript.pyannote[2381].end 11150.98034375
transcript.pyannote[2382].speaker SPEAKER_08
transcript.pyannote[2382].start 11150.98034375
transcript.pyannote[2382].end 11152.02659375
transcript.pyannote[2383].speaker SPEAKER_04
transcript.pyannote[2383].start 11151.16596875
transcript.pyannote[2383].end 11151.57096875
transcript.pyannote[2384].speaker SPEAKER_04
transcript.pyannote[2384].start 11152.02659375
transcript.pyannote[2384].end 11158.42221875
transcript.pyannote[2385].speaker SPEAKER_08
transcript.pyannote[2385].start 11153.56221875
transcript.pyannote[2385].end 11154.27096875
transcript.pyannote[2386].speaker SPEAKER_04
transcript.pyannote[2386].start 11158.65846875
transcript.pyannote[2386].end 11186.06346875
transcript.pyannote[2387].speaker SPEAKER_02
transcript.pyannote[2387].start 11175.63471875
transcript.pyannote[2387].end 11175.65159375
transcript.pyannote[2388].speaker SPEAKER_08
transcript.pyannote[2388].start 11175.65159375
transcript.pyannote[2388].end 11176.59659375
transcript.pyannote[2389].speaker SPEAKER_06
transcript.pyannote[2389].start 11176.59659375
transcript.pyannote[2389].end 11176.61346875
transcript.pyannote[2390].speaker SPEAKER_08
transcript.pyannote[2390].start 11176.61346875
transcript.pyannote[2390].end 11176.83284375
transcript.pyannote[2391].speaker SPEAKER_06
transcript.pyannote[2391].start 11176.83284375
transcript.pyannote[2391].end 11176.88346875
transcript.pyannote[2392].speaker SPEAKER_08
transcript.pyannote[2392].start 11177.20409375
transcript.pyannote[2392].end 11177.23784375
transcript.pyannote[2393].speaker SPEAKER_06
transcript.pyannote[2393].start 11177.23784375
transcript.pyannote[2393].end 11177.25471875
transcript.pyannote[2394].speaker SPEAKER_08
transcript.pyannote[2394].start 11177.25471875
transcript.pyannote[2394].end 11177.96346875
transcript.pyannote[2395].speaker SPEAKER_06
transcript.pyannote[2395].start 11177.96346875
transcript.pyannote[2395].end 11178.58784375
transcript.pyannote[2396].speaker SPEAKER_08
transcript.pyannote[2396].start 11178.58784375
transcript.pyannote[2396].end 11179.70159375
transcript.pyannote[2397].speaker SPEAKER_06
transcript.pyannote[2397].start 11179.70159375
transcript.pyannote[2397].end 11179.76909375
transcript.pyannote[2398].speaker SPEAKER_08
transcript.pyannote[2398].start 11181.06846875
transcript.pyannote[2398].end 11182.43534375
transcript.pyannote[2399].speaker SPEAKER_08
transcript.pyannote[2399].start 11184.64596875
transcript.pyannote[2399].end 11185.25346875
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 11186.14784375
transcript.pyannote[2400].end 11191.07534375
transcript.pyannote[2401].speaker SPEAKER_08
transcript.pyannote[2401].start 11187.00846875
transcript.pyannote[2401].end 11188.37534375
transcript.pyannote[2402].speaker SPEAKER_04
transcript.pyannote[2402].start 11191.41284375
transcript.pyannote[2402].end 11210.95409375
transcript.pyannote[2403].speaker SPEAKER_06
transcript.pyannote[2403].start 11192.07096875
transcript.pyannote[2403].end 11192.12159375
transcript.pyannote[2404].speaker SPEAKER_07
transcript.pyannote[2404].start 11192.12159375
transcript.pyannote[2404].end 11192.71221875
transcript.pyannote[2405].speaker SPEAKER_06
transcript.pyannote[2405].start 11192.71221875
transcript.pyannote[2405].end 11192.74596875
transcript.pyannote[2406].speaker SPEAKER_09
transcript.pyannote[2406].start 11194.60221875
transcript.pyannote[2406].end 11195.17596875
transcript.pyannote[2407].speaker SPEAKER_08
transcript.pyannote[2407].start 11203.09034375
transcript.pyannote[2407].end 11203.95096875
transcript.pyannote[2408].speaker SPEAKER_08
transcript.pyannote[2408].start 11204.38971875
transcript.pyannote[2408].end 11204.65971875
transcript.pyannote[2409].speaker SPEAKER_08
transcript.pyannote[2409].start 11204.92971875
transcript.pyannote[2409].end 11209.08096875
transcript.pyannote[2410].speaker SPEAKER_08
transcript.pyannote[2410].start 11209.55346875
transcript.pyannote[2410].end 11209.72221875
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 11211.19034375
transcript.pyannote[2411].end 11211.96659375
transcript.pyannote[2412].speaker SPEAKER_08
transcript.pyannote[2412].start 11211.96659375
transcript.pyannote[2412].end 11216.64096875
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 11214.05909375
transcript.pyannote[2413].end 11219.62784375
transcript.pyannote[2414].speaker SPEAKER_08
transcript.pyannote[2414].start 11217.72096875
transcript.pyannote[2414].end 11217.92346875
transcript.pyannote[2415].speaker SPEAKER_08
transcript.pyannote[2415].start 11218.61534375
transcript.pyannote[2415].end 11219.77971875
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 11219.77971875
transcript.pyannote[2416].end 11241.29534375
transcript.pyannote[2417].speaker SPEAKER_08
transcript.pyannote[2417].start 11223.45846875
transcript.pyannote[2417].end 11227.54221875
transcript.pyannote[2418].speaker SPEAKER_08
transcript.pyannote[2418].start 11231.96346875
transcript.pyannote[2418].end 11233.31346875
transcript.pyannote[2419].speaker SPEAKER_08
transcript.pyannote[2419].start 11233.83659375
transcript.pyannote[2419].end 11237.78534375
transcript.pyannote[2420].speaker SPEAKER_08
transcript.pyannote[2420].start 11238.78096875
transcript.pyannote[2420].end 11251.77471875
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 11241.68346875
transcript.pyannote[2421].end 11244.01221875
transcript.pyannote[2422].speaker SPEAKER_09
transcript.pyannote[2422].start 11244.01221875
transcript.pyannote[2422].end 11244.07971875
transcript.pyannote[2423].speaker SPEAKER_09
transcript.pyannote[2423].start 11244.77159375
transcript.pyannote[2423].end 11244.80534375
transcript.pyannote[2424].speaker SPEAKER_04
transcript.pyannote[2424].start 11244.80534375
transcript.pyannote[2424].end 11246.86409375
transcript.pyannote[2425].speaker SPEAKER_09
transcript.pyannote[2425].start 11246.86409375
transcript.pyannote[2425].end 11246.88096875
transcript.pyannote[2426].speaker SPEAKER_04
transcript.pyannote[2426].start 11246.88096875
transcript.pyannote[2426].end 11246.94846875
transcript.pyannote[2427].speaker SPEAKER_08
transcript.pyannote[2427].start 11252.17971875
transcript.pyannote[2427].end 11275.73721875
transcript.pyannote[2428].speaker SPEAKER_04
transcript.pyannote[2428].start 11252.85471875
transcript.pyannote[2428].end 11258.22096875
transcript.pyannote[2429].speaker SPEAKER_00
transcript.pyannote[2429].start 11258.40659375
transcript.pyannote[2429].end 11258.65971875
transcript.pyannote[2430].speaker SPEAKER_04
transcript.pyannote[2430].start 11258.65971875
transcript.pyannote[2430].end 11259.08159375
transcript.pyannote[2431].speaker SPEAKER_04
transcript.pyannote[2431].start 11264.95409375
transcript.pyannote[2431].end 11265.64596875
transcript.pyannote[2432].speaker SPEAKER_04
transcript.pyannote[2432].start 11266.11846875
transcript.pyannote[2432].end 11273.03721875
transcript.pyannote[2433].speaker SPEAKER_15
transcript.pyannote[2433].start 11273.03721875
transcript.pyannote[2433].end 11274.53909375
transcript.pyannote[2434].speaker SPEAKER_15
transcript.pyannote[2434].start 11274.62346875
transcript.pyannote[2434].end 11275.58534375
transcript.pyannote[2435].speaker SPEAKER_08
transcript.pyannote[2435].start 11276.44596875
transcript.pyannote[2435].end 11278.20096875
transcript.pyannote[2436].speaker SPEAKER_08
transcript.pyannote[2436].start 11278.79159375
transcript.pyannote[2436].end 11281.45784375
transcript.pyannote[2437].speaker SPEAKER_15
transcript.pyannote[2437].start 11280.24284375
transcript.pyannote[2437].end 11280.47909375
transcript.pyannote[2438].speaker SPEAKER_15
transcript.pyannote[2438].start 11281.45784375
transcript.pyannote[2438].end 11284.34346875
transcript.pyannote[2439].speaker SPEAKER_08
transcript.pyannote[2439].start 11282.41971875
transcript.pyannote[2439].end 11284.63034375
transcript.pyannote[2440].speaker SPEAKER_15
transcript.pyannote[2440].start 11284.37721875
transcript.pyannote[2440].end 11284.42784375
transcript.pyannote[2441].speaker SPEAKER_15
transcript.pyannote[2441].start 11284.46159375
transcript.pyannote[2441].end 11285.42346875
transcript.pyannote[2442].speaker SPEAKER_08
transcript.pyannote[2442].start 11284.83284375
transcript.pyannote[2442].end 11291.44784375
transcript.pyannote[2443].speaker SPEAKER_15
transcript.pyannote[2443].start 11285.77784375
transcript.pyannote[2443].end 11286.50346875
transcript.pyannote[2444].speaker SPEAKER_15
transcript.pyannote[2444].start 11289.99659375
transcript.pyannote[2444].end 11290.94159375
transcript.pyannote[2445].speaker SPEAKER_04
transcript.pyannote[2445].start 11290.94159375
transcript.pyannote[2445].end 11290.97534375
transcript.pyannote[2446].speaker SPEAKER_15
transcript.pyannote[2446].start 11291.44784375
transcript.pyannote[2446].end 11291.78534375
transcript.pyannote[2447].speaker SPEAKER_08
transcript.pyannote[2447].start 11291.78534375
transcript.pyannote[2447].end 11292.08909375
transcript.pyannote[2448].speaker SPEAKER_15
transcript.pyannote[2448].start 11291.83596875
transcript.pyannote[2448].end 11291.85284375
transcript.pyannote[2449].speaker SPEAKER_04
transcript.pyannote[2449].start 11291.85284375
transcript.pyannote[2449].end 11292.02159375
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 11292.08909375
transcript.pyannote[2450].end 11295.16034375
transcript.pyannote[2451].speaker SPEAKER_15
transcript.pyannote[2451].start 11294.65409375
transcript.pyannote[2451].end 11294.68784375
transcript.pyannote[2452].speaker SPEAKER_08
transcript.pyannote[2452].start 11294.68784375
transcript.pyannote[2452].end 11294.97471875
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 11294.97471875
transcript.pyannote[2453].end 11295.07596875
transcript.pyannote[2454].speaker SPEAKER_15
transcript.pyannote[2454].start 11295.16034375
transcript.pyannote[2454].end 11295.48096875
transcript.pyannote[2455].speaker SPEAKER_04
transcript.pyannote[2455].start 11295.48096875
transcript.pyannote[2455].end 11299.49721875
transcript.pyannote[2456].speaker SPEAKER_08
transcript.pyannote[2456].start 11297.77596875
transcript.pyannote[2456].end 11302.60221875
transcript.pyannote[2457].speaker SPEAKER_08
transcript.pyannote[2457].start 11303.04096875
transcript.pyannote[2457].end 11303.44596875
transcript.pyannote[2458].speaker SPEAKER_08
transcript.pyannote[2458].start 11303.71596875
transcript.pyannote[2458].end 11304.40784375
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 11303.90159375
transcript.pyannote[2459].end 11304.17159375
transcript.pyannote[2460].speaker SPEAKER_09
transcript.pyannote[2460].start 11304.17159375
transcript.pyannote[2460].end 11304.30659375
transcript.pyannote[2461].speaker SPEAKER_09
transcript.pyannote[2461].start 11304.40784375
transcript.pyannote[2461].end 11304.67784375
transcript.pyannote[2462].speaker SPEAKER_08
transcript.pyannote[2462].start 11304.77909375
transcript.pyannote[2462].end 11309.72346875
transcript.pyannote[2463].speaker SPEAKER_09
transcript.pyannote[2463].start 11309.94284375
transcript.pyannote[2463].end 11310.21284375
transcript.pyannote[2464].speaker SPEAKER_08
transcript.pyannote[2464].start 11310.28034375
transcript.pyannote[2464].end 11311.64721875
transcript.pyannote[2465].speaker SPEAKER_08
transcript.pyannote[2465].start 11311.73159375
transcript.pyannote[2465].end 11312.96346875
transcript.pyannote[2466].speaker SPEAKER_08
transcript.pyannote[2466].start 11313.36846875
transcript.pyannote[2466].end 11314.39784375
transcript.pyannote[2467].speaker SPEAKER_08
transcript.pyannote[2467].start 11314.80284375
transcript.pyannote[2467].end 11315.73096875
transcript.pyannote[2468].speaker SPEAKER_08
transcript.pyannote[2468].start 11316.79409375
transcript.pyannote[2468].end 11317.21596875
transcript.pyannote[2469].speaker SPEAKER_08
transcript.pyannote[2469].start 11317.40159375
transcript.pyannote[2469].end 11317.41846875
transcript.pyannote[2470].speaker SPEAKER_09
transcript.pyannote[2470].start 11317.41846875
transcript.pyannote[2470].end 11317.65471875
transcript.pyannote[2471].speaker SPEAKER_08
transcript.pyannote[2471].start 11318.21159375
transcript.pyannote[2471].end 11320.65846875
transcript.pyannote[2472].speaker SPEAKER_08
transcript.pyannote[2472].start 11320.89471875
transcript.pyannote[2472].end 11321.55284375
transcript.pyannote[2473].speaker SPEAKER_09
transcript.pyannote[2473].start 11321.55284375
transcript.pyannote[2473].end 11321.60346875
transcript.pyannote[2474].speaker SPEAKER_08
transcript.pyannote[2474].start 11321.60346875
transcript.pyannote[2474].end 11324.65784375
transcript.pyannote[2475].speaker SPEAKER_08
transcript.pyannote[2475].start 11325.01221875
transcript.pyannote[2475].end 11329.87221875
transcript.pyannote[2476].speaker SPEAKER_09
transcript.pyannote[2476].start 11329.87221875
transcript.pyannote[2476].end 11330.54721875
transcript.pyannote[2477].speaker SPEAKER_08
transcript.pyannote[2477].start 11330.54721875
transcript.pyannote[2477].end 11331.07034375
transcript.pyannote[2478].speaker SPEAKER_09
transcript.pyannote[2478].start 11331.07034375
transcript.pyannote[2478].end 11331.37409375
transcript.pyannote[2479].speaker SPEAKER_08
transcript.pyannote[2479].start 11331.37409375
transcript.pyannote[2479].end 11337.95534375
transcript.pyannote[2480].speaker SPEAKER_09
transcript.pyannote[2480].start 11337.85409375
transcript.pyannote[2480].end 11338.32659375
transcript.pyannote[2481].speaker SPEAKER_08
transcript.pyannote[2481].start 11338.05659375
transcript.pyannote[2481].end 11339.54159375
transcript.pyannote[2482].speaker SPEAKER_08
transcript.pyannote[2482].start 11340.38534375
transcript.pyannote[2482].end 11342.76471875
transcript.pyannote[2483].speaker SPEAKER_08
transcript.pyannote[2483].start 11343.06846875
transcript.pyannote[2483].end 11345.49846875
transcript.pyannote[2484].speaker SPEAKER_09
transcript.pyannote[2484].start 11345.71784375
transcript.pyannote[2484].end 11346.07221875
transcript.pyannote[2485].speaker SPEAKER_08
transcript.pyannote[2485].start 11346.07221875
transcript.pyannote[2485].end 11348.62034375
transcript.pyannote[2486].speaker SPEAKER_09
transcript.pyannote[2486].start 11348.78909375
transcript.pyannote[2486].end 11348.97471875
transcript.pyannote[2487].speaker SPEAKER_08
transcript.pyannote[2487].start 11348.97471875
transcript.pyannote[2487].end 11350.61159375
transcript.pyannote[2488].speaker SPEAKER_08
transcript.pyannote[2488].start 11350.71284375
transcript.pyannote[2488].end 11353.85159375
transcript.pyannote[2489].speaker SPEAKER_08
transcript.pyannote[2489].start 11353.96971875
transcript.pyannote[2489].end 11355.45471875
transcript.pyannote[2490].speaker SPEAKER_08
transcript.pyannote[2490].start 11355.80909375
transcript.pyannote[2490].end 11358.54284375
transcript.pyannote[2491].speaker SPEAKER_09
transcript.pyannote[2491].start 11358.84659375
transcript.pyannote[2491].end 11359.01534375
transcript.pyannote[2492].speaker SPEAKER_08
transcript.pyannote[2492].start 11359.42034375
transcript.pyannote[2492].end 11363.36909375
transcript.pyannote[2493].speaker SPEAKER_08
transcript.pyannote[2493].start 11363.48721875
transcript.pyannote[2493].end 11370.94596875
transcript.pyannote[2494].speaker SPEAKER_09
transcript.pyannote[2494].start 11368.04346875
transcript.pyannote[2494].end 11368.97159375
transcript.pyannote[2495].speaker SPEAKER_09
transcript.pyannote[2495].start 11369.56221875
transcript.pyannote[2495].end 11369.71409375
transcript.pyannote[2496].speaker SPEAKER_09
transcript.pyannote[2496].start 11370.97971875
transcript.pyannote[2496].end 11371.67159375
transcript.pyannote[2497].speaker SPEAKER_08
transcript.pyannote[2497].start 11371.57034375
transcript.pyannote[2497].end 11373.12284375
transcript.pyannote[2498].speaker SPEAKER_09
transcript.pyannote[2498].start 11373.12284375
transcript.pyannote[2498].end 11373.74721875
transcript.pyannote[2499].speaker SPEAKER_08
transcript.pyannote[2499].start 11373.74721875
transcript.pyannote[2499].end 11386.03221875
transcript.pyannote[2500].speaker SPEAKER_04
transcript.pyannote[2500].start 11386.03221875
transcript.pyannote[2500].end 11392.32659375
transcript.pyannote[2501].speaker SPEAKER_08
transcript.pyannote[2501].start 11388.20909375
transcript.pyannote[2501].end 11389.91346875
transcript.pyannote[2502].speaker SPEAKER_08
transcript.pyannote[2502].start 11392.46159375
transcript.pyannote[2502].end 11427.52784375
transcript.pyannote[2503].speaker SPEAKER_14
transcript.pyannote[2503].start 11397.82784375
transcript.pyannote[2503].end 11397.96284375
transcript.pyannote[2504].speaker SPEAKER_00
transcript.pyannote[2504].start 11399.80221875
transcript.pyannote[2504].end 11399.85284375
transcript.pyannote[2505].speaker SPEAKER_14
transcript.pyannote[2505].start 11399.85284375
transcript.pyannote[2505].end 11399.97096875
transcript.pyannote[2506].speaker SPEAKER_00
transcript.pyannote[2506].start 11399.97096875
transcript.pyannote[2506].end 11400.08909375
transcript.pyannote[2507].speaker SPEAKER_00
transcript.pyannote[2507].start 11400.44346875
transcript.pyannote[2507].end 11400.57846875
transcript.pyannote[2508].speaker SPEAKER_09
transcript.pyannote[2508].start 11408.49284375
transcript.pyannote[2508].end 11408.76284375
transcript.pyannote[2509].speaker SPEAKER_09
transcript.pyannote[2509].start 11411.07471875
transcript.pyannote[2509].end 11413.11659375
transcript.pyannote[2510].speaker SPEAKER_09
transcript.pyannote[2510].start 11414.16284375
transcript.pyannote[2510].end 11414.90534375
transcript.pyannote[2511].speaker SPEAKER_09
transcript.pyannote[2511].start 11420.42346875
transcript.pyannote[2511].end 11420.52471875
transcript.pyannote[2512].speaker SPEAKER_09
transcript.pyannote[2512].start 11427.52784375
transcript.pyannote[2512].end 11427.86534375
transcript.pyannote[2513].speaker SPEAKER_08
transcript.pyannote[2513].start 11427.86534375
transcript.pyannote[2513].end 11433.38346875
transcript.pyannote[2514].speaker SPEAKER_15
transcript.pyannote[2514].start 11430.34596875
transcript.pyannote[2514].end 11430.48096875
transcript.pyannote[2515].speaker SPEAKER_09
transcript.pyannote[2515].start 11430.48096875
transcript.pyannote[2515].end 11430.75096875
transcript.pyannote[2516].speaker SPEAKER_15
transcript.pyannote[2516].start 11430.75096875
transcript.pyannote[2516].end 11430.91971875
transcript.pyannote[2517].speaker SPEAKER_08
transcript.pyannote[2517].start 11434.46346875
transcript.pyannote[2517].end 11446.78221875
transcript.pyannote[2518].speaker SPEAKER_09
transcript.pyannote[2518].start 11446.64721875
transcript.pyannote[2518].end 11447.71034375
transcript.pyannote[2519].speaker SPEAKER_08
transcript.pyannote[2519].start 11447.22096875
transcript.pyannote[2519].end 11447.38971875
transcript.pyannote[2520].speaker SPEAKER_08
transcript.pyannote[2520].start 11447.52471875
transcript.pyannote[2520].end 11449.95471875
transcript.pyannote[2521].speaker SPEAKER_09
transcript.pyannote[2521].start 11449.95471875
transcript.pyannote[2521].end 11450.59596875
transcript.pyannote[2522].speaker SPEAKER_08
transcript.pyannote[2522].start 11450.35971875
transcript.pyannote[2522].end 11450.62971875
transcript.pyannote[2523].speaker SPEAKER_09
transcript.pyannote[2523].start 11450.62971875
transcript.pyannote[2523].end 11450.86596875
transcript.pyannote[2524].speaker SPEAKER_08
transcript.pyannote[2524].start 11450.86596875
transcript.pyannote[2524].end 11465.44596875
transcript.pyannote[2525].speaker SPEAKER_09
transcript.pyannote[2525].start 11451.08534375
transcript.pyannote[2525].end 11451.18659375
transcript.pyannote[2526].speaker SPEAKER_09
transcript.pyannote[2526].start 11454.24096875
transcript.pyannote[2526].end 11454.47721875
transcript.pyannote[2527].speaker SPEAKER_15
transcript.pyannote[2527].start 11456.77221875
transcript.pyannote[2527].end 11457.44721875
transcript.pyannote[2528].speaker SPEAKER_00
transcript.pyannote[2528].start 11458.27409375
transcript.pyannote[2528].end 11458.30784375
transcript.pyannote[2529].speaker SPEAKER_09
transcript.pyannote[2529].start 11462.32409375
transcript.pyannote[2529].end 11462.61096875
transcript.pyannote[2530].speaker SPEAKER_16
transcript.pyannote[2530].start 11463.35346875
transcript.pyannote[2530].end 11463.69096875
transcript.pyannote[2531].speaker SPEAKER_09
transcript.pyannote[2531].start 11463.69096875
transcript.pyannote[2531].end 11463.97784375
transcript.pyannote[2532].speaker SPEAKER_16
transcript.pyannote[2532].start 11463.97784375
transcript.pyannote[2532].end 11465.41221875
transcript.pyannote[2533].speaker SPEAKER_08
transcript.pyannote[2533].start 11469.39471875
transcript.pyannote[2533].end 11471.38596875
transcript.pyannote[2534].speaker SPEAKER_16
transcript.pyannote[2534].start 11471.38596875
transcript.pyannote[2534].end 11471.53784375
transcript.pyannote[2535].speaker SPEAKER_08
transcript.pyannote[2535].start 11471.53784375
transcript.pyannote[2535].end 11471.55471875
transcript.pyannote[2536].speaker SPEAKER_16
transcript.pyannote[2536].start 11471.55471875
transcript.pyannote[2536].end 11471.57159375
transcript.pyannote[2537].speaker SPEAKER_09
transcript.pyannote[2537].start 11471.57159375
transcript.pyannote[2537].end 11471.60534375
transcript.pyannote[2538].speaker SPEAKER_08
transcript.pyannote[2538].start 11471.60534375
transcript.pyannote[2538].end 11491.21409375
transcript.pyannote[2539].speaker SPEAKER_08
transcript.pyannote[2539].start 11491.78784375
transcript.pyannote[2539].end 11504.42721875
transcript.pyannote[2540].speaker SPEAKER_08
transcript.pyannote[2540].start 11504.95034375
transcript.pyannote[2540].end 11508.69659375
transcript.pyannote[2541].speaker SPEAKER_16
transcript.pyannote[2541].start 11508.69659375
transcript.pyannote[2541].end 11508.98346875
transcript.pyannote[2542].speaker SPEAKER_08
transcript.pyannote[2542].start 11508.98346875
transcript.pyannote[2542].end 11510.58659375
transcript.pyannote[2543].speaker SPEAKER_08
transcript.pyannote[2543].start 11510.72159375
transcript.pyannote[2543].end 11524.67721875
transcript.pyannote[2544].speaker SPEAKER_08
transcript.pyannote[2544].start 11525.16659375
transcript.pyannote[2544].end 11533.46909375
transcript.pyannote[2545].speaker SPEAKER_08
transcript.pyannote[2545].start 11534.00909375
transcript.pyannote[2545].end 11540.01659375
transcript.pyannote[2546].speaker SPEAKER_08
transcript.pyannote[2546].start 11540.30346875
transcript.pyannote[2546].end 11546.81721875
transcript.pyannote[2547].speaker SPEAKER_08
transcript.pyannote[2547].start 11547.17159375
transcript.pyannote[2547].end 11548.21784375
transcript.pyannote[2548].speaker SPEAKER_08
transcript.pyannote[2548].start 11548.50471875
transcript.pyannote[2548].end 11548.69034375
transcript.pyannote[2549].speaker SPEAKER_08
transcript.pyannote[2549].start 11549.14596875
transcript.pyannote[2549].end 11549.71971875
transcript.pyannote[2550].speaker SPEAKER_08
transcript.pyannote[2550].start 11549.93909375
transcript.pyannote[2550].end 11556.68909375
transcript.pyannote[2551].speaker SPEAKER_08
transcript.pyannote[2551].start 11556.94221875
transcript.pyannote[2551].end 11558.35971875
transcript.pyannote[2552].speaker SPEAKER_08
transcript.pyannote[2552].start 11558.78159375
transcript.pyannote[2552].end 11561.90346875
transcript.pyannote[2553].speaker SPEAKER_16
transcript.pyannote[2553].start 11562.35909375
transcript.pyannote[2553].end 11563.30409375
transcript.pyannote[2554].speaker SPEAKER_16
transcript.pyannote[2554].start 11563.59096875
transcript.pyannote[2554].end 11566.47659375
transcript.pyannote[2555].speaker SPEAKER_08
transcript.pyannote[2555].start 11564.56971875
transcript.pyannote[2555].end 11578.71096875
transcript.pyannote[2556].speaker SPEAKER_08
transcript.pyannote[2556].start 11579.14971875
transcript.pyannote[2556].end 11592.78471875
transcript.pyannote[2557].speaker SPEAKER_09
transcript.pyannote[2557].start 11592.78471875
transcript.pyannote[2557].end 11592.80159375
transcript.pyannote[2558].speaker SPEAKER_08
transcript.pyannote[2558].start 11592.80159375
transcript.pyannote[2558].end 11592.83534375
transcript.pyannote[2559].speaker SPEAKER_09
transcript.pyannote[2559].start 11592.83534375
transcript.pyannote[2559].end 11592.90284375
transcript.pyannote[2560].speaker SPEAKER_08
transcript.pyannote[2560].start 11592.90284375
transcript.pyannote[2560].end 11593.62846875
transcript.pyannote[2561].speaker SPEAKER_08
transcript.pyannote[2561].start 11593.96596875
transcript.pyannote[2561].end 11596.85159375
transcript.pyannote[2562].speaker SPEAKER_08
transcript.pyannote[2562].start 11597.32409375
transcript.pyannote[2562].end 11637.62159375
transcript.pyannote[2563].speaker SPEAKER_08
transcript.pyannote[2563].start 11637.94221875
transcript.pyannote[2563].end 11642.19471875
transcript.pyannote[2564].speaker SPEAKER_16
transcript.pyannote[2564].start 11642.31284375
transcript.pyannote[2564].end 11643.02159375
transcript.pyannote[2565].speaker SPEAKER_08
transcript.pyannote[2565].start 11643.02159375
transcript.pyannote[2565].end 11663.49096875
transcript.pyannote[2566].speaker SPEAKER_16
transcript.pyannote[2566].start 11663.49096875
transcript.pyannote[2566].end 11663.82846875
transcript.pyannote[2567].speaker SPEAKER_16
transcript.pyannote[2567].start 11664.52034375
transcript.pyannote[2567].end 11675.11784375
transcript.pyannote[2568].speaker SPEAKER_08
transcript.pyannote[2568].start 11664.80721875
transcript.pyannote[2568].end 11665.68471875
transcript.pyannote[2569].speaker SPEAKER_08
transcript.pyannote[2569].start 11675.11784375
transcript.pyannote[2569].end 11705.25659375
transcript.pyannote[2570].speaker SPEAKER_16
transcript.pyannote[2570].start 11705.35784375
transcript.pyannote[2570].end 11709.55971875
transcript.pyannote[2571].speaker SPEAKER_08
transcript.pyannote[2571].start 11705.94846875
transcript.pyannote[2571].end 11725.87784375
transcript.pyannote[2572].speaker SPEAKER_08
transcript.pyannote[2572].start 11726.56971875
transcript.pyannote[2572].end 11732.94846875
transcript.pyannote[2573].speaker SPEAKER_08
transcript.pyannote[2573].start 11732.96534375
transcript.pyannote[2573].end 11733.03284375
transcript.pyannote[2574].speaker SPEAKER_16
transcript.pyannote[2574].start 11733.03284375
transcript.pyannote[2574].end 11733.45471875
transcript.pyannote[2575].speaker SPEAKER_08
transcript.pyannote[2575].start 11733.16784375
transcript.pyannote[2575].end 11733.80909375
transcript.pyannote[2576].speaker SPEAKER_16
transcript.pyannote[2576].start 11733.80909375
transcript.pyannote[2576].end 11736.35721875
transcript.pyannote[2577].speaker SPEAKER_08
transcript.pyannote[2577].start 11734.85534375
transcript.pyannote[2577].end 11738.60159375
transcript.pyannote[2578].speaker SPEAKER_16
transcript.pyannote[2578].start 11738.28096875
transcript.pyannote[2578].end 11738.41596875
transcript.pyannote[2579].speaker SPEAKER_16
transcript.pyannote[2579].start 11739.10784375
transcript.pyannote[2579].end 11739.61409375
transcript.pyannote[2580].speaker SPEAKER_19
transcript.pyannote[2580].start 11739.61409375
transcript.pyannote[2580].end 11739.69846875
transcript.pyannote[2581].speaker SPEAKER_16
transcript.pyannote[2581].start 11739.69846875
transcript.pyannote[2581].end 11739.76596875
transcript.pyannote[2582].speaker SPEAKER_19
transcript.pyannote[2582].start 11739.76596875
transcript.pyannote[2582].end 11739.78284375
transcript.pyannote[2583].speaker SPEAKER_16
transcript.pyannote[2583].start 11739.78284375
transcript.pyannote[2583].end 11739.86721875
transcript.pyannote[2584].speaker SPEAKER_19
transcript.pyannote[2584].start 11739.86721875
transcript.pyannote[2584].end 11739.90096875
transcript.pyannote[2585].speaker SPEAKER_19
transcript.pyannote[2585].start 11742.33096875
transcript.pyannote[2585].end 11746.78596875
transcript.pyannote[2586].speaker SPEAKER_17
transcript.pyannote[2586].start 11759.05409375
transcript.pyannote[2586].end 11760.50534375
transcript.pyannote[2587].speaker SPEAKER_17
transcript.pyannote[2587].start 11760.79221875
transcript.pyannote[2587].end 11762.04096875
transcript.pyannote[2588].speaker SPEAKER_17
transcript.pyannote[2588].start 11762.29409375
transcript.pyannote[2588].end 11763.71159375
transcript.pyannote[2589].speaker SPEAKER_04
transcript.pyannote[2589].start 11767.84596875
transcript.pyannote[2589].end 11768.65596875
transcript.pyannote[2590].speaker SPEAKER_17
transcript.pyannote[2590].start 11769.48284375
transcript.pyannote[2590].end 11769.87096875
transcript.pyannote[2591].speaker SPEAKER_04
transcript.pyannote[2591].start 11769.87096875
transcript.pyannote[2591].end 11770.78221875
transcript.pyannote[2592].speaker SPEAKER_17
transcript.pyannote[2592].start 11770.78221875
transcript.pyannote[2592].end 11770.91721875
transcript.pyannote[2593].speaker SPEAKER_04
transcript.pyannote[2593].start 11770.91721875
transcript.pyannote[2593].end 11772.55409375
transcript.pyannote[2594].speaker SPEAKER_17
transcript.pyannote[2594].start 11771.05221875
transcript.pyannote[2594].end 11772.01409375
transcript.pyannote[2595].speaker SPEAKER_17
transcript.pyannote[2595].start 11772.55409375
transcript.pyannote[2595].end 11774.57909375
transcript.pyannote[2596].speaker SPEAKER_04
transcript.pyannote[2596].start 11772.58784375
transcript.pyannote[2596].end 11773.48221875
transcript.pyannote[2597].speaker SPEAKER_17
transcript.pyannote[2597].start 11774.78159375
transcript.pyannote[2597].end 11775.43971875
transcript.pyannote[2598].speaker SPEAKER_17
transcript.pyannote[2598].start 11775.84471875
transcript.pyannote[2598].end 11780.24909375
transcript.pyannote[2599].speaker SPEAKER_15
transcript.pyannote[2599].start 11778.27471875
transcript.pyannote[2599].end 11778.66284375
transcript.pyannote[2600].speaker SPEAKER_17
transcript.pyannote[2600].start 11781.12659375
transcript.pyannote[2600].end 11784.94034375
transcript.pyannote[2601].speaker SPEAKER_15
transcript.pyannote[2601].start 11782.22346875
transcript.pyannote[2601].end 11782.57784375
transcript.pyannote[2602].speaker SPEAKER_15
transcript.pyannote[2602].start 11784.94034375
transcript.pyannote[2602].end 11785.24409375
transcript.pyannote[2603].speaker SPEAKER_17
transcript.pyannote[2603].start 11785.24409375
transcript.pyannote[2603].end 11791.84221875
transcript.pyannote[2604].speaker SPEAKER_17
transcript.pyannote[2604].start 11792.28096875
transcript.pyannote[2604].end 11795.99346875
transcript.pyannote[2605].speaker SPEAKER_17
transcript.pyannote[2605].start 11796.56721875
transcript.pyannote[2605].end 11799.13221875
transcript.pyannote[2606].speaker SPEAKER_15
transcript.pyannote[2606].start 11799.13221875
transcript.pyannote[2606].end 11799.31784375
transcript.pyannote[2607].speaker SPEAKER_17
transcript.pyannote[2607].start 11799.31784375
transcript.pyannote[2607].end 11830.03034375
transcript.pyannote[2608].speaker SPEAKER_15
transcript.pyannote[2608].start 11799.33471875
transcript.pyannote[2608].end 11799.43596875
transcript.pyannote[2609].speaker SPEAKER_17
transcript.pyannote[2609].start 11830.62096875
transcript.pyannote[2609].end 11835.64971875
transcript.pyannote[2610].speaker SPEAKER_17
transcript.pyannote[2610].start 11835.81846875
transcript.pyannote[2610].end 11847.32721875
transcript.pyannote[2611].speaker SPEAKER_09
transcript.pyannote[2611].start 11846.55096875
transcript.pyannote[2611].end 11846.88846875
transcript.pyannote[2612].speaker SPEAKER_09
transcript.pyannote[2612].start 11847.44534375
transcript.pyannote[2612].end 11847.83346875
transcript.pyannote[2613].speaker SPEAKER_17
transcript.pyannote[2613].start 11847.83346875
transcript.pyannote[2613].end 11847.85034375
transcript.pyannote[2614].speaker SPEAKER_17
transcript.pyannote[2614].start 11847.86721875
transcript.pyannote[2614].end 11848.66034375
transcript.pyannote[2615].speaker SPEAKER_17
transcript.pyannote[2615].start 11849.33534375
transcript.pyannote[2615].end 11853.18284375
transcript.pyannote[2616].speaker SPEAKER_17
transcript.pyannote[2616].start 11853.52034375
transcript.pyannote[2616].end 11861.87346875
transcript.pyannote[2617].speaker SPEAKER_17
transcript.pyannote[2617].start 11863.20659375
transcript.pyannote[2617].end 11886.98346875
transcript.pyannote[2618].speaker SPEAKER_09
transcript.pyannote[2618].start 11876.97659375
transcript.pyannote[2618].end 11877.02721875
transcript.pyannote[2619].speaker SPEAKER_17
transcript.pyannote[2619].start 11887.50659375
transcript.pyannote[2619].end 11893.86846875
transcript.pyannote[2620].speaker SPEAKER_09
transcript.pyannote[2620].start 11893.86846875
transcript.pyannote[2620].end 11894.23971875
transcript.pyannote[2621].speaker SPEAKER_17
transcript.pyannote[2621].start 11894.23971875
transcript.pyannote[2621].end 11897.44596875
transcript.pyannote[2622].speaker SPEAKER_09
transcript.pyannote[2622].start 11896.02846875
transcript.pyannote[2622].end 11896.36596875
transcript.pyannote[2623].speaker SPEAKER_17
transcript.pyannote[2623].start 11897.96909375
transcript.pyannote[2623].end 11901.00659375
transcript.pyannote[2624].speaker SPEAKER_17
transcript.pyannote[2624].start 11901.36096875
transcript.pyannote[2624].end 11903.09909375
transcript.pyannote[2625].speaker SPEAKER_17
transcript.pyannote[2625].start 11903.14971875
transcript.pyannote[2625].end 11912.09346875
transcript.pyannote[2626].speaker SPEAKER_09
transcript.pyannote[2626].start 11905.51221875
transcript.pyannote[2626].end 11905.56284375
transcript.pyannote[2627].speaker SPEAKER_15
transcript.pyannote[2627].start 11905.56284375
transcript.pyannote[2627].end 11905.64721875
transcript.pyannote[2628].speaker SPEAKER_09
transcript.pyannote[2628].start 11905.64721875
transcript.pyannote[2628].end 11905.66409375
transcript.pyannote[2629].speaker SPEAKER_09
transcript.pyannote[2629].start 11905.69784375
transcript.pyannote[2629].end 11905.71471875
transcript.pyannote[2630].speaker SPEAKER_17
transcript.pyannote[2630].start 11912.66721875
transcript.pyannote[2630].end 11913.17346875
transcript.pyannote[2631].speaker SPEAKER_17
transcript.pyannote[2631].start 11913.51096875
transcript.pyannote[2631].end 11915.31659375
transcript.pyannote[2632].speaker SPEAKER_09
transcript.pyannote[2632].start 11915.31659375
transcript.pyannote[2632].end 11915.63721875
transcript.pyannote[2633].speaker SPEAKER_17
transcript.pyannote[2633].start 11915.95784375
transcript.pyannote[2633].end 11918.79284375
transcript.pyannote[2634].speaker SPEAKER_17
transcript.pyannote[2634].start 11918.86034375
transcript.pyannote[2634].end 11918.89409375
transcript.pyannote[2635].speaker SPEAKER_09
transcript.pyannote[2635].start 11918.89409375
transcript.pyannote[2635].end 11919.21471875
transcript.pyannote[2636].speaker SPEAKER_17
transcript.pyannote[2636].start 11919.45096875
transcript.pyannote[2636].end 11922.04971875
transcript.pyannote[2637].speaker SPEAKER_17
transcript.pyannote[2637].start 11922.43784375
transcript.pyannote[2637].end 11925.03659375
transcript.pyannote[2638].speaker SPEAKER_17
transcript.pyannote[2638].start 11926.31909375
transcript.pyannote[2638].end 11929.01909375
transcript.pyannote[2639].speaker SPEAKER_17
transcript.pyannote[2639].start 11929.20471875
transcript.pyannote[2639].end 11929.23846875
transcript.pyannote[2640].speaker SPEAKER_09
transcript.pyannote[2640].start 11929.23846875
transcript.pyannote[2640].end 11929.55909375
transcript.pyannote[2641].speaker SPEAKER_17
transcript.pyannote[2641].start 11929.57596875
transcript.pyannote[2641].end 11929.59284375
transcript.pyannote[2642].speaker SPEAKER_17
transcript.pyannote[2642].start 11929.74471875
transcript.pyannote[2642].end 11931.92159375
transcript.pyannote[2643].speaker SPEAKER_17
transcript.pyannote[2643].start 11932.51221875
transcript.pyannote[2643].end 11935.12784375
transcript.pyannote[2644].speaker SPEAKER_09
transcript.pyannote[2644].start 11935.12784375
transcript.pyannote[2644].end 11935.38096875
transcript.pyannote[2645].speaker SPEAKER_17
transcript.pyannote[2645].start 11935.38096875
transcript.pyannote[2645].end 11944.94909375
transcript.pyannote[2646].speaker SPEAKER_09
transcript.pyannote[2646].start 11942.26596875
transcript.pyannote[2646].end 11942.56971875
transcript.pyannote[2647].speaker SPEAKER_17
transcript.pyannote[2647].start 11945.16846875
transcript.pyannote[2647].end 11945.79284375
transcript.pyannote[2648].speaker SPEAKER_17
transcript.pyannote[2648].start 11946.14721875
transcript.pyannote[2648].end 11946.58596875
transcript.pyannote[2649].speaker SPEAKER_17
transcript.pyannote[2649].start 11947.14284375
transcript.pyannote[2649].end 11948.54346875
transcript.pyannote[2650].speaker SPEAKER_17
transcript.pyannote[2650].start 11949.15096875
transcript.pyannote[2650].end 11952.86346875
transcript.pyannote[2651].speaker SPEAKER_17
transcript.pyannote[2651].start 11952.96471875
transcript.pyannote[2651].end 11958.85409375
transcript.pyannote[2652].speaker SPEAKER_09
transcript.pyannote[2652].start 11958.85409375
transcript.pyannote[2652].end 11959.02284375
transcript.pyannote[2653].speaker SPEAKER_17
transcript.pyannote[2653].start 11959.02284375
transcript.pyannote[2653].end 11963.62971875
transcript.pyannote[2654].speaker SPEAKER_17
transcript.pyannote[2654].start 11964.89534375
transcript.pyannote[2654].end 11966.63346875
transcript.pyannote[2655].speaker SPEAKER_09
transcript.pyannote[2655].start 11966.63346875
transcript.pyannote[2655].end 11966.81909375
transcript.pyannote[2656].speaker SPEAKER_17
transcript.pyannote[2656].start 11966.81909375
transcript.pyannote[2656].end 11966.85284375
transcript.pyannote[2657].speaker SPEAKER_09
transcript.pyannote[2657].start 11966.85284375
transcript.pyannote[2657].end 11966.88659375
transcript.pyannote[2658].speaker SPEAKER_17
transcript.pyannote[2658].start 11966.88659375
transcript.pyannote[2658].end 11971.94909375
transcript.pyannote[2659].speaker SPEAKER_17
transcript.pyannote[2659].start 11972.59034375
transcript.pyannote[2659].end 11976.40409375
transcript.pyannote[2660].speaker SPEAKER_09
transcript.pyannote[2660].start 11976.57284375
transcript.pyannote[2660].end 11976.82596875
transcript.pyannote[2661].speaker SPEAKER_17
transcript.pyannote[2661].start 11977.11284375
transcript.pyannote[2661].end 11978.61471875
transcript.pyannote[2662].speaker SPEAKER_17
transcript.pyannote[2662].start 11978.98596875
transcript.pyannote[2662].end 11982.95159375
transcript.pyannote[2663].speaker SPEAKER_17
transcript.pyannote[2663].start 11983.42409375
transcript.pyannote[2663].end 11984.23409375
transcript.pyannote[2664].speaker SPEAKER_17
transcript.pyannote[2664].start 11985.24659375
transcript.pyannote[2664].end 11986.69784375
transcript.pyannote[2665].speaker SPEAKER_17
transcript.pyannote[2665].start 11987.59221875
transcript.pyannote[2665].end 11988.11534375
transcript.pyannote[2666].speaker SPEAKER_17
transcript.pyannote[2666].start 11988.46971875
transcript.pyannote[2666].end 11988.99284375
transcript.pyannote[2667].speaker SPEAKER_17
transcript.pyannote[2667].start 11989.58346875
transcript.pyannote[2667].end 11995.87784375
transcript.pyannote[2668].speaker SPEAKER_17
transcript.pyannote[2668].start 11996.53596875
transcript.pyannote[2668].end 12012.51659375
transcript.pyannote[2669].speaker SPEAKER_17
transcript.pyannote[2669].start 12013.39409375
transcript.pyannote[2669].end 12013.95096875
transcript.pyannote[2670].speaker SPEAKER_17
transcript.pyannote[2670].start 12015.06471875
transcript.pyannote[2670].end 12015.70596875
transcript.pyannote[2671].speaker SPEAKER_17
transcript.pyannote[2671].start 12016.68471875
transcript.pyannote[2671].end 12018.64221875
transcript.pyannote[2672].speaker SPEAKER_17
transcript.pyannote[2672].start 12019.36784375
transcript.pyannote[2672].end 12020.93721875
transcript.pyannote[2673].speaker SPEAKER_17
transcript.pyannote[2673].start 12021.37596875
transcript.pyannote[2673].end 12023.14784375
transcript.pyannote[2674].speaker SPEAKER_17
transcript.pyannote[2674].start 12023.68784375
transcript.pyannote[2674].end 12024.09284375
transcript.pyannote[2675].speaker SPEAKER_17
transcript.pyannote[2675].start 12024.46409375
transcript.pyannote[2675].end 12026.67471875
transcript.pyannote[2676].speaker SPEAKER_17
transcript.pyannote[2676].start 12027.14721875
transcript.pyannote[2676].end 12031.33221875
transcript.pyannote[2677].speaker SPEAKER_17
transcript.pyannote[2677].start 12032.37846875
transcript.pyannote[2677].end 12039.12846875
transcript.pyannote[2678].speaker SPEAKER_17
transcript.pyannote[2678].start 12039.70221875
transcript.pyannote[2678].end 12042.68909375
transcript.pyannote[2679].speaker SPEAKER_17
transcript.pyannote[2679].start 12043.21221875
transcript.pyannote[2679].end 12044.24159375
transcript.pyannote[2680].speaker SPEAKER_17
transcript.pyannote[2680].start 12045.08534375
transcript.pyannote[2680].end 12060.07034375
transcript.pyannote[2681].speaker SPEAKER_17
transcript.pyannote[2681].start 12060.32346875
transcript.pyannote[2681].end 12062.06159375
transcript.pyannote[2682].speaker SPEAKER_17
transcript.pyannote[2682].start 12062.66909375
transcript.pyannote[2682].end 12063.47909375
transcript.pyannote[2683].speaker SPEAKER_17
transcript.pyannote[2683].start 12064.06971875
transcript.pyannote[2683].end 12066.53346875
transcript.pyannote[2684].speaker SPEAKER_17
transcript.pyannote[2684].start 12067.14096875
transcript.pyannote[2684].end 12067.39409375
transcript.pyannote[2685].speaker SPEAKER_17
transcript.pyannote[2685].start 12067.79909375
transcript.pyannote[2685].end 12070.71846875
transcript.pyannote[2686].speaker SPEAKER_17
transcript.pyannote[2686].start 12071.07284375
transcript.pyannote[2686].end 12072.92909375
transcript.pyannote[2687].speaker SPEAKER_17
transcript.pyannote[2687].start 12073.70534375
transcript.pyannote[2687].end 12075.64596875
transcript.pyannote[2688].speaker SPEAKER_17
transcript.pyannote[2688].start 12075.84846875
transcript.pyannote[2688].end 12075.88221875
transcript.pyannote[2689].speaker SPEAKER_09
transcript.pyannote[2689].start 12075.88221875
transcript.pyannote[2689].end 12076.05096875
transcript.pyannote[2690].speaker SPEAKER_17
transcript.pyannote[2690].start 12076.05096875
transcript.pyannote[2690].end 12077.90721875
transcript.pyannote[2691].speaker SPEAKER_04
transcript.pyannote[2691].start 12078.36284375
transcript.pyannote[2691].end 12078.97034375
transcript.pyannote[2692].speaker SPEAKER_04
transcript.pyannote[2692].start 12079.08846875
transcript.pyannote[2692].end 12091.89659375
transcript.pyannote[2693].speaker SPEAKER_04
transcript.pyannote[2693].start 12092.30159375
transcript.pyannote[2693].end 12131.26596875
transcript.pyannote[2694].speaker SPEAKER_04
transcript.pyannote[2694].start 12131.45159375
transcript.pyannote[2694].end 12140.26034375
transcript.pyannote[2695].speaker SPEAKER_04
transcript.pyannote[2695].start 12140.69909375
transcript.pyannote[2695].end 12145.35659375
transcript.pyannote[2696].speaker SPEAKER_04
transcript.pyannote[2696].start 12145.82909375
transcript.pyannote[2696].end 12154.94159375
transcript.pyannote[2697].speaker SPEAKER_04
transcript.pyannote[2697].start 12155.32971875
transcript.pyannote[2697].end 12156.93284375
transcript.pyannote[2698].speaker SPEAKER_04
transcript.pyannote[2698].start 12157.79346875
transcript.pyannote[2698].end 12158.43471875
transcript.pyannote[2699].speaker SPEAKER_04
transcript.pyannote[2699].start 12158.65409375
transcript.pyannote[2699].end 12160.13909375
transcript.pyannote[2700].speaker SPEAKER_04
transcript.pyannote[2700].start 12160.49346875
transcript.pyannote[2700].end 12166.93971875
transcript.pyannote[2701].speaker SPEAKER_04
transcript.pyannote[2701].start 12167.59784375
transcript.pyannote[2701].end 12169.58909375
transcript.pyannote[2702].speaker SPEAKER_04
transcript.pyannote[2702].start 12170.02784375
transcript.pyannote[2702].end 12172.00221875
transcript.pyannote[2703].speaker SPEAKER_04
transcript.pyannote[2703].start 12172.28909375
transcript.pyannote[2703].end 12181.01346875
transcript.pyannote[2704].speaker SPEAKER_04
transcript.pyannote[2704].start 12181.41846875
transcript.pyannote[2704].end 12184.00034375
transcript.pyannote[2705].speaker SPEAKER_04
transcript.pyannote[2705].start 12184.75971875
transcript.pyannote[2705].end 12196.42034375
transcript.pyannote[2706].speaker SPEAKER_04
transcript.pyannote[2706].start 12196.87596875
transcript.pyannote[2706].end 12217.44659375
transcript.pyannote[2707].speaker SPEAKER_17
transcript.pyannote[2707].start 12202.44471875
transcript.pyannote[2707].end 12203.27159375
transcript.pyannote[2708].speaker SPEAKER_17
transcript.pyannote[2708].start 12204.30096875
transcript.pyannote[2708].end 12205.22909375
transcript.pyannote[2709].speaker SPEAKER_17
transcript.pyannote[2709].start 12205.58346875
transcript.pyannote[2709].end 12207.06846875
transcript.pyannote[2710].speaker SPEAKER_04
transcript.pyannote[2710].start 12217.80096875
transcript.pyannote[2710].end 12228.92159375
transcript.pyannote[2711].speaker SPEAKER_04
transcript.pyannote[2711].start 12228.97221875
transcript.pyannote[2711].end 12235.95846875
transcript.pyannote[2712].speaker SPEAKER_04
transcript.pyannote[2712].start 12236.22846875
transcript.pyannote[2712].end 12246.67409375
transcript.pyannote[2713].speaker SPEAKER_17
transcript.pyannote[2713].start 12246.06659375
transcript.pyannote[2713].end 12293.23221875
transcript.pyannote[2714].speaker SPEAKER_04
transcript.pyannote[2714].start 12248.80034375
transcript.pyannote[2714].end 12252.44534375
transcript.pyannote[2715].speaker SPEAKER_00
transcript.pyannote[2715].start 12257.37284375
transcript.pyannote[2715].end 12257.38971875
transcript.pyannote[2716].speaker SPEAKER_04
transcript.pyannote[2716].start 12257.38971875
transcript.pyannote[2716].end 12257.69346875
transcript.pyannote[2717].speaker SPEAKER_04
transcript.pyannote[2717].start 12262.01346875
transcript.pyannote[2717].end 12263.43096875
transcript.pyannote[2718].speaker SPEAKER_00
transcript.pyannote[2718].start 12264.24096875
transcript.pyannote[2718].end 12264.25784375
transcript.pyannote[2719].speaker SPEAKER_04
transcript.pyannote[2719].start 12264.25784375
transcript.pyannote[2719].end 12264.88221875
transcript.pyannote[2720].speaker SPEAKER_04
transcript.pyannote[2720].start 12266.06346875
transcript.pyannote[2720].end 12267.93659375
transcript.pyannote[2721].speaker SPEAKER_04
transcript.pyannote[2721].start 12269.26971875
transcript.pyannote[2721].end 12269.38784375
transcript.pyannote[2722].speaker SPEAKER_04
transcript.pyannote[2722].start 12271.02471875
transcript.pyannote[2722].end 12271.96971875
transcript.pyannote[2723].speaker SPEAKER_04
transcript.pyannote[2723].start 12272.67846875
transcript.pyannote[2723].end 12273.11721875
transcript.pyannote[2724].speaker SPEAKER_00
transcript.pyannote[2724].start 12274.82159375
transcript.pyannote[2724].end 12276.03659375
transcript.pyannote[2725].speaker SPEAKER_09
transcript.pyannote[2725].start 12276.03659375
transcript.pyannote[2725].end 12277.03221875
transcript.pyannote[2726].speaker SPEAKER_04
transcript.pyannote[2726].start 12277.03221875
transcript.pyannote[2726].end 12277.75784375
transcript.pyannote[2727].speaker SPEAKER_09
transcript.pyannote[2727].start 12277.75784375
transcript.pyannote[2727].end 12277.87596875
transcript.pyannote[2728].speaker SPEAKER_00
transcript.pyannote[2728].start 12277.87596875
transcript.pyannote[2728].end 12277.90971875
transcript.pyannote[2729].speaker SPEAKER_00
transcript.pyannote[2729].start 12278.23034375
transcript.pyannote[2729].end 12278.28096875
transcript.pyannote[2730].speaker SPEAKER_09
transcript.pyannote[2730].start 12278.28096875
transcript.pyannote[2730].end 12278.50034375
transcript.pyannote[2731].speaker SPEAKER_04
transcript.pyannote[2731].start 12278.50034375
transcript.pyannote[2731].end 12278.55096875
transcript.pyannote[2732].speaker SPEAKER_09
transcript.pyannote[2732].start 12278.55096875
transcript.pyannote[2732].end 12278.56784375
transcript.pyannote[2733].speaker SPEAKER_04
transcript.pyannote[2733].start 12278.56784375
transcript.pyannote[2733].end 12278.66909375
transcript.pyannote[2734].speaker SPEAKER_09
transcript.pyannote[2734].start 12278.66909375
transcript.pyannote[2734].end 12278.80409375
transcript.pyannote[2735].speaker SPEAKER_00
transcript.pyannote[2735].start 12278.80409375
transcript.pyannote[2735].end 12278.85471875
transcript.pyannote[2736].speaker SPEAKER_00
transcript.pyannote[2736].start 12279.44534375
transcript.pyannote[2736].end 12279.49596875
transcript.pyannote[2737].speaker SPEAKER_04
transcript.pyannote[2737].start 12279.49596875
transcript.pyannote[2737].end 12280.47471875
transcript.pyannote[2738].speaker SPEAKER_09
transcript.pyannote[2738].start 12280.47471875
transcript.pyannote[2738].end 12280.49159375
transcript.pyannote[2739].speaker SPEAKER_09
transcript.pyannote[2739].start 12281.38596875
transcript.pyannote[2739].end 12281.40284375
transcript.pyannote[2740].speaker SPEAKER_04
transcript.pyannote[2740].start 12281.40284375
transcript.pyannote[2740].end 12283.30971875
transcript.pyannote[2741].speaker SPEAKER_00
transcript.pyannote[2741].start 12288.55784375
transcript.pyannote[2741].end 12290.17784375
transcript.pyannote[2742].speaker SPEAKER_00
transcript.pyannote[2742].start 12291.03846875
transcript.pyannote[2742].end 12291.88221875
transcript.pyannote[2743].speaker SPEAKER_17
transcript.pyannote[2743].start 12293.55284375
transcript.pyannote[2743].end 12316.53659375
transcript.pyannote[2744].speaker SPEAKER_00
transcript.pyannote[2744].start 12296.45534375
transcript.pyannote[2744].end 12296.89409375
transcript.pyannote[2745].speaker SPEAKER_00
transcript.pyannote[2745].start 12298.53096875
transcript.pyannote[2745].end 12299.59409375
transcript.pyannote[2746].speaker SPEAKER_00
transcript.pyannote[2746].start 12300.26909375
transcript.pyannote[2746].end 12301.99034375
transcript.pyannote[2747].speaker SPEAKER_00
transcript.pyannote[2747].start 12303.98159375
transcript.pyannote[2747].end 12304.03221875
transcript.pyannote[2748].speaker SPEAKER_04
transcript.pyannote[2748].start 12304.03221875
transcript.pyannote[2748].end 12305.48346875
transcript.pyannote[2749].speaker SPEAKER_04
transcript.pyannote[2749].start 12305.93909375
transcript.pyannote[2749].end 12307.64346875
transcript.pyannote[2750].speaker SPEAKER_04
transcript.pyannote[2750].start 12308.04846875
transcript.pyannote[2750].end 12308.26784375
transcript.pyannote[2751].speaker SPEAKER_17
transcript.pyannote[2751].start 12317.05971875
transcript.pyannote[2751].end 12317.26221875
transcript.pyannote[2752].speaker SPEAKER_17
transcript.pyannote[2752].start 12318.25784375
transcript.pyannote[2752].end 12319.33784375
transcript.pyannote[2753].speaker SPEAKER_17
transcript.pyannote[2753].start 12319.75971875
transcript.pyannote[2753].end 12334.08659375
transcript.pyannote[2754].speaker SPEAKER_15
transcript.pyannote[2754].start 12333.04034375
transcript.pyannote[2754].end 12334.52534375
transcript.pyannote[2755].speaker SPEAKER_17
transcript.pyannote[2755].start 12334.42409375
transcript.pyannote[2755].end 12343.80659375
transcript.pyannote[2756].speaker SPEAKER_17
transcript.pyannote[2756].start 12344.36346875
transcript.pyannote[2756].end 12382.77096875
transcript.pyannote[2757].speaker SPEAKER_15
transcript.pyannote[2757].start 12358.25159375
transcript.pyannote[2757].end 12358.26846875
transcript.pyannote[2758].speaker SPEAKER_15
transcript.pyannote[2758].start 12362.18346875
transcript.pyannote[2758].end 12362.60534375
transcript.pyannote[2759].speaker SPEAKER_15
transcript.pyannote[2759].start 12369.43971875
transcript.pyannote[2759].end 12370.41846875
transcript.pyannote[2760].speaker SPEAKER_00
transcript.pyannote[2760].start 12372.81471875
transcript.pyannote[2760].end 12372.83159375
transcript.pyannote[2761].speaker SPEAKER_15
transcript.pyannote[2761].start 12372.83159375
transcript.pyannote[2761].end 12374.51909375
transcript.pyannote[2762].speaker SPEAKER_00
transcript.pyannote[2762].start 12374.51909375
transcript.pyannote[2762].end 12374.60346875
transcript.pyannote[2763].speaker SPEAKER_00
transcript.pyannote[2763].start 12376.25721875
transcript.pyannote[2763].end 12376.30784375
transcript.pyannote[2764].speaker SPEAKER_15
transcript.pyannote[2764].start 12376.30784375
transcript.pyannote[2764].end 12376.76346875
transcript.pyannote[2765].speaker SPEAKER_15
transcript.pyannote[2765].start 12377.55659375
transcript.pyannote[2765].end 12378.33284375
transcript.pyannote[2766].speaker SPEAKER_15
transcript.pyannote[2766].start 12381.10034375
transcript.pyannote[2766].end 12381.30284375
transcript.pyannote[2767].speaker SPEAKER_15
transcript.pyannote[2767].start 12382.63596875
transcript.pyannote[2767].end 12382.75409375
transcript.pyannote[2768].speaker SPEAKER_15
transcript.pyannote[2768].start 12382.77096875
transcript.pyannote[2768].end 12383.24346875
transcript.pyannote[2769].speaker SPEAKER_17
transcript.pyannote[2769].start 12382.99034375
transcript.pyannote[2769].end 12389.94284375
transcript.pyannote[2770].speaker SPEAKER_15
transcript.pyannote[2770].start 12388.74471875
transcript.pyannote[2770].end 12389.08221875
transcript.pyannote[2771].speaker SPEAKER_17
transcript.pyannote[2771].start 12390.22971875
transcript.pyannote[2771].end 12419.92971875
transcript.pyannote[2772].speaker SPEAKER_15
transcript.pyannote[2772].start 12399.89909375
transcript.pyannote[2772].end 12400.60784375
transcript.pyannote[2773].speaker SPEAKER_09
transcript.pyannote[2773].start 12409.04534375
transcript.pyannote[2773].end 12409.97346875
transcript.pyannote[2774].speaker SPEAKER_00
transcript.pyannote[2774].start 12409.97346875
transcript.pyannote[2774].end 12409.99034375
transcript.pyannote[2775].speaker SPEAKER_00
transcript.pyannote[2775].start 12413.53409375
transcript.pyannote[2775].end 12413.55096875
transcript.pyannote[2776].speaker SPEAKER_09
transcript.pyannote[2776].start 12413.55096875
transcript.pyannote[2776].end 12413.68596875
transcript.pyannote[2777].speaker SPEAKER_19
transcript.pyannote[2777].start 12413.68596875
transcript.pyannote[2777].end 12413.75346875
transcript.pyannote[2778].speaker SPEAKER_09
transcript.pyannote[2778].start 12413.75346875
transcript.pyannote[2778].end 12413.83784375
transcript.pyannote[2779].speaker SPEAKER_19
transcript.pyannote[2779].start 12416.30159375
transcript.pyannote[2779].end 12420.03096875
transcript.pyannote[2780].speaker SPEAKER_19
transcript.pyannote[2780].start 12421.11096875
transcript.pyannote[2780].end 12424.67159375
transcript.pyannote[2781].speaker SPEAKER_14
transcript.pyannote[2781].start 12444.44909375
transcript.pyannote[2781].end 12447.87471875
transcript.pyannote[2782].speaker SPEAKER_19
transcript.pyannote[2782].start 12448.12784375
transcript.pyannote[2782].end 12449.88284375
transcript.pyannote[2783].speaker SPEAKER_04
transcript.pyannote[2783].start 12453.51096875
transcript.pyannote[2783].end 12453.86534375
transcript.pyannote[2784].speaker SPEAKER_14
transcript.pyannote[2784].start 12453.86534375
transcript.pyannote[2784].end 12453.91596875
transcript.pyannote[2785].speaker SPEAKER_04
transcript.pyannote[2785].start 12453.91596875
transcript.pyannote[2785].end 12454.77659375
transcript.pyannote[2786].speaker SPEAKER_14
transcript.pyannote[2786].start 12454.77659375
transcript.pyannote[2786].end 12493.75784375
transcript.pyannote[2787].speaker SPEAKER_04
transcript.pyannote[2787].start 12455.50221875
transcript.pyannote[2787].end 12455.72159375
transcript.pyannote[2788].speaker SPEAKER_15
transcript.pyannote[2788].start 12464.93534375
transcript.pyannote[2788].end 12465.59346875
transcript.pyannote[2789].speaker SPEAKER_00
transcript.pyannote[2789].start 12465.59346875
transcript.pyannote[2789].end 12465.72846875
transcript.pyannote[2790].speaker SPEAKER_00
transcript.pyannote[2790].start 12467.34846875
transcript.pyannote[2790].end 12467.50034375
transcript.pyannote[2791].speaker SPEAKER_09
transcript.pyannote[2791].start 12467.50034375
transcript.pyannote[2791].end 12467.95596875
transcript.pyannote[2792].speaker SPEAKER_00
transcript.pyannote[2792].start 12467.95596875
transcript.pyannote[2792].end 12468.12471875
transcript.pyannote[2793].speaker SPEAKER_09
transcript.pyannote[2793].start 12472.27596875
transcript.pyannote[2793].end 12472.76534375
transcript.pyannote[2794].speaker SPEAKER_09
transcript.pyannote[2794].start 12493.63971875
transcript.pyannote[2794].end 12493.99409375
transcript.pyannote[2795].speaker SPEAKER_14
transcript.pyannote[2795].start 12493.90971875
transcript.pyannote[2795].end 12596.83034375
transcript.pyannote[2796].speaker SPEAKER_04
transcript.pyannote[2796].start 12515.17221875
transcript.pyannote[2796].end 12515.96534375
transcript.pyannote[2797].speaker SPEAKER_00
transcript.pyannote[2797].start 12515.96534375
transcript.pyannote[2797].end 12516.94409375
transcript.pyannote[2798].speaker SPEAKER_04
transcript.pyannote[2798].start 12596.83034375
transcript.pyannote[2798].end 12596.86409375
transcript.pyannote[2799].speaker SPEAKER_04
transcript.pyannote[2799].start 12597.91034375
transcript.pyannote[2799].end 12604.03596875
transcript.pyannote[2800].speaker SPEAKER_14
transcript.pyannote[2800].start 12604.03596875
transcript.pyannote[2800].end 12605.23409375
transcript.pyannote[2801].speaker SPEAKER_04
transcript.pyannote[2801].start 12605.23409375
transcript.pyannote[2801].end 12605.31846875
transcript.pyannote[2802].speaker SPEAKER_04
transcript.pyannote[2802].start 12605.40284375
transcript.pyannote[2802].end 12608.94659375
transcript.pyannote[2803].speaker SPEAKER_14
transcript.pyannote[2803].start 12608.94659375
transcript.pyannote[2803].end 12664.97159375
transcript.pyannote[2804].speaker SPEAKER_04
transcript.pyannote[2804].start 12609.38534375
transcript.pyannote[2804].end 12609.77346875
transcript.pyannote[2805].speaker SPEAKER_04
transcript.pyannote[2805].start 12610.75221875
transcript.pyannote[2805].end 12613.36784375
transcript.pyannote[2806].speaker SPEAKER_04
transcript.pyannote[2806].start 12665.54534375
transcript.pyannote[2806].end 12707.73284375
transcript.pyannote[2807].speaker SPEAKER_14
transcript.pyannote[2807].start 12706.95659375
transcript.pyannote[2807].end 12707.31096875
transcript.pyannote[2808].speaker SPEAKER_14
transcript.pyannote[2808].start 12707.96909375
transcript.pyannote[2808].end 12794.60534375
transcript.pyannote[2809].speaker SPEAKER_04
transcript.pyannote[2809].start 12712.91346875
transcript.pyannote[2809].end 12712.93034375
transcript.pyannote[2810].speaker SPEAKER_04
transcript.pyannote[2810].start 12713.09909375
transcript.pyannote[2810].end 12715.29284375
transcript.pyannote[2811].speaker SPEAKER_04
transcript.pyannote[2811].start 12715.98471875
transcript.pyannote[2811].end 12716.77784375
transcript.pyannote[2812].speaker SPEAKER_00
transcript.pyannote[2812].start 12717.73971875
transcript.pyannote[2812].end 12718.60034375
transcript.pyannote[2813].speaker SPEAKER_00
transcript.pyannote[2813].start 12719.03909375
transcript.pyannote[2813].end 12719.84909375
transcript.pyannote[2814].speaker SPEAKER_00
transcript.pyannote[2814].start 12727.18971875
transcript.pyannote[2814].end 12727.57784375
transcript.pyannote[2815].speaker SPEAKER_00
transcript.pyannote[2815].start 12735.45846875
transcript.pyannote[2815].end 12736.09971875
transcript.pyannote[2816].speaker SPEAKER_04
transcript.pyannote[2816].start 12794.60534375
transcript.pyannote[2816].end 12817.30221875
transcript.pyannote[2817].speaker SPEAKER_14
transcript.pyannote[2817].start 12812.71221875
transcript.pyannote[2817].end 12823.41096875
transcript.pyannote[2818].speaker SPEAKER_19
transcript.pyannote[2818].start 12817.30221875
transcript.pyannote[2818].end 12817.31909375
transcript.pyannote[2819].speaker SPEAKER_04
transcript.pyannote[2819].start 12817.31909375
transcript.pyannote[2819].end 12817.63971875
transcript.pyannote[2820].speaker SPEAKER_19
transcript.pyannote[2820].start 12817.63971875
transcript.pyannote[2820].end 12817.87596875
transcript.pyannote[2821].speaker SPEAKER_04
transcript.pyannote[2821].start 12817.87596875
transcript.pyannote[2821].end 12817.96034375
transcript.pyannote[2822].speaker SPEAKER_19
transcript.pyannote[2822].start 12817.96034375
transcript.pyannote[2822].end 12828.23721875
transcript.pyannote[2823].speaker SPEAKER_03
transcript.pyannote[2823].start 12844.09971875
transcript.pyannote[2823].end 12847.72784375
transcript.pyannote[2824].speaker SPEAKER_19
transcript.pyannote[2824].start 12847.72784375
transcript.pyannote[2824].end 12849.14534375
transcript.pyannote[2825].speaker SPEAKER_04
transcript.pyannote[2825].start 12854.12346875
transcript.pyannote[2825].end 12858.03846875
transcript.pyannote[2826].speaker SPEAKER_03
transcript.pyannote[2826].start 12856.70534375
transcript.pyannote[2826].end 12857.41409375
transcript.pyannote[2827].speaker SPEAKER_04
transcript.pyannote[2827].start 12858.07221875
transcript.pyannote[2827].end 12858.10596875
transcript.pyannote[2828].speaker SPEAKER_04
transcript.pyannote[2828].start 12858.61221875
transcript.pyannote[2828].end 12861.97034375
transcript.pyannote[2829].speaker SPEAKER_03
transcript.pyannote[2829].start 12861.97034375
transcript.pyannote[2829].end 12876.48284375
transcript.pyannote[2830].speaker SPEAKER_11
transcript.pyannote[2830].start 12870.88034375
transcript.pyannote[2830].end 12871.25159375
transcript.pyannote[2831].speaker SPEAKER_11
transcript.pyannote[2831].start 12876.41534375
transcript.pyannote[2831].end 12876.78659375
transcript.pyannote[2832].speaker SPEAKER_03
transcript.pyannote[2832].start 12877.02284375
transcript.pyannote[2832].end 12889.32471875
transcript.pyannote[2833].speaker SPEAKER_11
transcript.pyannote[2833].start 12879.84096875
transcript.pyannote[2833].end 12880.24596875
transcript.pyannote[2834].speaker SPEAKER_15
transcript.pyannote[2834].start 12880.24596875
transcript.pyannote[2834].end 12880.27971875
transcript.pyannote[2835].speaker SPEAKER_15
transcript.pyannote[2835].start 12885.20721875
transcript.pyannote[2835].end 12885.86534375
transcript.pyannote[2836].speaker SPEAKER_15
transcript.pyannote[2836].start 12889.15596875
transcript.pyannote[2836].end 12889.74659375
transcript.pyannote[2837].speaker SPEAKER_03
transcript.pyannote[2837].start 12889.35846875
transcript.pyannote[2837].end 12890.25284375
transcript.pyannote[2838].speaker SPEAKER_15
transcript.pyannote[2838].start 12890.10096875
transcript.pyannote[2838].end 12890.52284375
transcript.pyannote[2839].speaker SPEAKER_03
transcript.pyannote[2839].start 12890.35409375
transcript.pyannote[2839].end 12907.41471875
transcript.pyannote[2840].speaker SPEAKER_15
transcript.pyannote[2840].start 12892.58159375
transcript.pyannote[2840].end 12892.69971875
transcript.pyannote[2841].speaker SPEAKER_03
transcript.pyannote[2841].start 12907.54971875
transcript.pyannote[2841].end 12917.10096875
transcript.pyannote[2842].speaker SPEAKER_15
transcript.pyannote[2842].start 12917.10096875
transcript.pyannote[2842].end 12917.45534375
transcript.pyannote[2843].speaker SPEAKER_03
transcript.pyannote[2843].start 12917.13471875
transcript.pyannote[2843].end 12917.18534375
transcript.pyannote[2844].speaker SPEAKER_03
transcript.pyannote[2844].start 12917.38784375
transcript.pyannote[2844].end 12936.60846875
transcript.pyannote[2845].speaker SPEAKER_09
transcript.pyannote[2845].start 12924.50909375
transcript.pyannote[2845].end 12925.06596875
transcript.pyannote[2846].speaker SPEAKER_18
transcript.pyannote[2846].start 12925.06596875
transcript.pyannote[2846].end 12925.08284375
transcript.pyannote[2847].speaker SPEAKER_18
transcript.pyannote[2847].start 12928.99784375
transcript.pyannote[2847].end 12929.35221875
transcript.pyannote[2848].speaker SPEAKER_09
transcript.pyannote[2848].start 12929.35221875
transcript.pyannote[2848].end 12929.38596875
transcript.pyannote[2849].speaker SPEAKER_04
transcript.pyannote[2849].start 12937.55346875
transcript.pyannote[2849].end 12973.96971875
transcript.pyannote[2850].speaker SPEAKER_04
transcript.pyannote[2850].start 12974.83034375
transcript.pyannote[2850].end 13016.96721875
transcript.pyannote[2851].speaker SPEAKER_03
transcript.pyannote[2851].start 13016.96721875
transcript.pyannote[2851].end 13065.61784375
transcript.pyannote[2852].speaker SPEAKER_04
transcript.pyannote[2852].start 13017.86159375
transcript.pyannote[2852].end 13019.73471875
transcript.pyannote[2853].speaker SPEAKER_15
transcript.pyannote[2853].start 13024.07159375
transcript.pyannote[2853].end 13025.43846875
transcript.pyannote[2854].speaker SPEAKER_15
transcript.pyannote[2854].start 13025.45534375
transcript.pyannote[2854].end 13025.48909375
transcript.pyannote[2855].speaker SPEAKER_15
transcript.pyannote[2855].start 13025.64096875
transcript.pyannote[2855].end 13025.80971875
transcript.pyannote[2856].speaker SPEAKER_15
transcript.pyannote[2856].start 13026.95721875
transcript.pyannote[2856].end 13027.02471875
transcript.pyannote[2857].speaker SPEAKER_04
transcript.pyannote[2857].start 13027.02471875
transcript.pyannote[2857].end 13028.52659375
transcript.pyannote[2858].speaker SPEAKER_15
transcript.pyannote[2858].start 13028.52659375
transcript.pyannote[2858].end 13028.61096875
transcript.pyannote[2859].speaker SPEAKER_15
transcript.pyannote[2859].start 13031.54721875
transcript.pyannote[2859].end 13033.80846875
transcript.pyannote[2860].speaker SPEAKER_15
transcript.pyannote[2860].start 13041.50346875
transcript.pyannote[2860].end 13042.97159375
transcript.pyannote[2861].speaker SPEAKER_15
transcript.pyannote[2861].start 13047.47721875
transcript.pyannote[2861].end 13048.13534375
transcript.pyannote[2862].speaker SPEAKER_00
transcript.pyannote[2862].start 13052.65784375
transcript.pyannote[2862].end 13053.67034375
transcript.pyannote[2863].speaker SPEAKER_00
transcript.pyannote[2863].start 13056.87659375
transcript.pyannote[2863].end 13057.45034375
transcript.pyannote[2864].speaker SPEAKER_09
transcript.pyannote[2864].start 13062.07409375
transcript.pyannote[2864].end 13062.64784375
transcript.pyannote[2865].speaker SPEAKER_09
transcript.pyannote[2865].start 13065.61784375
transcript.pyannote[2865].end 13066.68096875
transcript.pyannote[2866].speaker SPEAKER_03
transcript.pyannote[2866].start 13066.68096875
transcript.pyannote[2866].end 13084.02846875
transcript.pyannote[2867].speaker SPEAKER_09
transcript.pyannote[2867].start 13073.07659375
transcript.pyannote[2867].end 13073.39721875
transcript.pyannote[2868].speaker SPEAKER_04
transcript.pyannote[2868].start 13081.07534375
transcript.pyannote[2868].end 13082.96534375
transcript.pyannote[2869].speaker SPEAKER_04
transcript.pyannote[2869].start 13084.02846875
transcript.pyannote[2869].end 13133.11784375
transcript.pyannote[2870].speaker SPEAKER_15
transcript.pyannote[2870].start 13086.99846875
transcript.pyannote[2870].end 13087.21784375
transcript.pyannote[2871].speaker SPEAKER_09
transcript.pyannote[2871].start 13120.64721875
transcript.pyannote[2871].end 13120.96784375
transcript.pyannote[2872].speaker SPEAKER_00
transcript.pyannote[2872].start 13120.96784375
transcript.pyannote[2872].end 13121.13659375
transcript.pyannote[2873].speaker SPEAKER_04
transcript.pyannote[2873].start 13133.43846875
transcript.pyannote[2873].end 13142.14596875
transcript.pyannote[2874].speaker SPEAKER_04
transcript.pyannote[2874].start 13143.19221875
transcript.pyannote[2874].end 13150.02659375
transcript.pyannote[2875].speaker SPEAKER_03
transcript.pyannote[2875].start 13150.02659375
transcript.pyannote[2875].end 13156.70909375
transcript.pyannote[2876].speaker SPEAKER_04
transcript.pyannote[2876].start 13152.70971875
transcript.pyannote[2876].end 13157.43471875
transcript.pyannote[2877].speaker SPEAKER_04
transcript.pyannote[2877].start 13157.99159375
transcript.pyannote[2877].end 13161.46784375
transcript.pyannote[2878].speaker SPEAKER_03
transcript.pyannote[2878].start 13161.46784375
transcript.pyannote[2878].end 13161.56909375
transcript.pyannote[2879].speaker SPEAKER_04
transcript.pyannote[2879].start 13161.56909375
transcript.pyannote[2879].end 13161.78846875
transcript.pyannote[2880].speaker SPEAKER_03
transcript.pyannote[2880].start 13161.78846875
transcript.pyannote[2880].end 13184.85659375
transcript.pyannote[2881].speaker SPEAKER_15
transcript.pyannote[2881].start 13168.42034375
transcript.pyannote[2881].end 13168.75784375
transcript.pyannote[2882].speaker SPEAKER_11
transcript.pyannote[2882].start 13179.43971875
transcript.pyannote[2882].end 13179.45659375
transcript.pyannote[2883].speaker SPEAKER_15
transcript.pyannote[2883].start 13179.45659375
transcript.pyannote[2883].end 13180.38471875
transcript.pyannote[2884].speaker SPEAKER_04
transcript.pyannote[2884].start 13184.83971875
transcript.pyannote[2884].end 13185.39659375
transcript.pyannote[2885].speaker SPEAKER_04
transcript.pyannote[2885].start 13185.58221875
transcript.pyannote[2885].end 13201.02284375
transcript.pyannote[2886].speaker SPEAKER_03
transcript.pyannote[2886].start 13196.39909375
transcript.pyannote[2886].end 13199.53784375
transcript.pyannote[2887].speaker SPEAKER_03
transcript.pyannote[2887].start 13201.02284375
transcript.pyannote[2887].end 13208.31284375
transcript.pyannote[2888].speaker SPEAKER_04
transcript.pyannote[2888].start 13208.31284375
transcript.pyannote[2888].end 13214.82659375
transcript.pyannote[2889].speaker SPEAKER_03
transcript.pyannote[2889].start 13214.57346875
transcript.pyannote[2889].end 13214.86034375
transcript.pyannote[2890].speaker SPEAKER_04
transcript.pyannote[2890].start 13214.86034375
transcript.pyannote[2890].end 13219.06221875
transcript.pyannote[2891].speaker SPEAKER_03
transcript.pyannote[2891].start 13218.21846875
transcript.pyannote[2891].end 13236.74721875
transcript.pyannote[2892].speaker SPEAKER_04
transcript.pyannote[2892].start 13219.41659375
transcript.pyannote[2892].end 13220.22659375
transcript.pyannote[2893].speaker SPEAKER_15
transcript.pyannote[2893].start 13228.95096875
transcript.pyannote[2893].end 13229.32221875
transcript.pyannote[2894].speaker SPEAKER_09
transcript.pyannote[2894].start 13229.32221875
transcript.pyannote[2894].end 13229.38971875
transcript.pyannote[2895].speaker SPEAKER_04
transcript.pyannote[2895].start 13232.73096875
transcript.pyannote[2895].end 13233.32159375
transcript.pyannote[2896].speaker SPEAKER_04
transcript.pyannote[2896].start 13236.12284375
transcript.pyannote[2896].end 13240.15596875
transcript.pyannote[2897].speaker SPEAKER_19
transcript.pyannote[2897].start 13237.28721875
transcript.pyannote[2897].end 13237.35471875
transcript.pyannote[2898].speaker SPEAKER_03
transcript.pyannote[2898].start 13237.35471875
transcript.pyannote[2898].end 13237.47284375
transcript.pyannote[2899].speaker SPEAKER_19
transcript.pyannote[2899].start 13237.47284375
transcript.pyannote[2899].end 13237.50659375
transcript.pyannote[2900].speaker SPEAKER_03
transcript.pyannote[2900].start 13237.50659375
transcript.pyannote[2900].end 13237.59096875
transcript.pyannote[2901].speaker SPEAKER_19
transcript.pyannote[2901].start 13237.59096875
transcript.pyannote[2901].end 13238.11409375
transcript.pyannote[2902].speaker SPEAKER_19
transcript.pyannote[2902].start 13239.64971875
transcript.pyannote[2902].end 13240.74659375
transcript.pyannote[2903].speaker SPEAKER_04
transcript.pyannote[2903].start 13240.74659375
transcript.pyannote[2903].end 13240.98284375
transcript.pyannote[2904].speaker SPEAKER_19
transcript.pyannote[2904].start 13240.98284375
transcript.pyannote[2904].end 13246.21409375
transcript.pyannote[2905].speaker SPEAKER_19
transcript.pyannote[2905].start 13246.75409375
transcript.pyannote[2905].end 13248.40784375
transcript.pyannote[2906].speaker SPEAKER_19
transcript.pyannote[2906].start 13248.69471875
transcript.pyannote[2906].end 13256.62596875
transcript.pyannote[2907].speaker SPEAKER_19
transcript.pyannote[2907].start 13256.89596875
transcript.pyannote[2907].end 13266.86909375
transcript.pyannote[2908].speaker SPEAKER_19
transcript.pyannote[2908].start 13269.13034375
transcript.pyannote[2908].end 13270.02471875
transcript.pyannote[2909].speaker SPEAKER_04
transcript.pyannote[2909].start 13270.02471875
transcript.pyannote[2909].end 13270.09221875
transcript.pyannote[2910].speaker SPEAKER_19
transcript.pyannote[2910].start 13270.88534375
transcript.pyannote[2910].end 13270.90221875
transcript.pyannote[2911].speaker SPEAKER_04
transcript.pyannote[2911].start 13270.90221875
transcript.pyannote[2911].end 13272.16784375
transcript.pyannote[2912].speaker SPEAKER_04
transcript.pyannote[2912].start 13273.50096875
transcript.pyannote[2912].end 13281.02721875
transcript.pyannote[2913].speaker SPEAKER_19
transcript.pyannote[2913].start 13281.02721875
transcript.pyannote[2913].end 13281.04409375
transcript.pyannote[2914].speaker SPEAKER_04
transcript.pyannote[2914].start 13281.04409375
transcript.pyannote[2914].end 13281.97221875
transcript.pyannote[2915].speaker SPEAKER_19
transcript.pyannote[2915].start 13281.97221875
transcript.pyannote[2915].end 13291.05096875
transcript.pyannote[2916].speaker SPEAKER_19
transcript.pyannote[2916].start 13292.09721875
transcript.pyannote[2916].end 13301.73284375
transcript.whisperx[0].start 843.295
transcript.whisperx[0].end 844.062
transcript.whisperx[0].text 一二三一二三
transcript.whisperx[1].start 1742.459
transcript.whisperx[1].end 1752.533
transcript.whisperx[1].text 請主任秘書報告出席委員人數報告委員會出席委員與處法定人數現在開始開會請議事人員宣讀上次議事上次會議議事錄
transcript.whisperx[2].start 1753.669
transcript.whisperx[2].end 1779.651
transcript.whisperx[2].text 立法院第十一屆第五會期財政委員會第五次全體委員會議實錄時間中央民國一百一十五年三月二十五日星期三九時至十二時四十六分地點群憲樓九樓大禮堂出席委員林德福等十四人立席委員鍾嘉斌等十四人立席官員財政部部長莊翠雲所屬機關所長暨國民事業董事長總經理各轉投事業機構共股代表之董監事主席吳昭吉委員秉瑞報告事項一
transcript.whisperx[3].start 1780.572
transcript.whisperx[3].end 1786.963
transcript.whisperx[3].text 宣讀上次會議事錄決定議事錄確定而邀請財政部部長莊崔雲率所屬機關首長及國營事業董事長總經理
transcript.whisperx[4].start 1790.168
transcript.whisperx[4].end 1816.119
transcript.whisperx[4].text 和各轉投資事業機構公股代表之董監事列席業務報告並備諮詢均產政部部長莊春瑩提出報告後機構委員林德甫等20人提出諮詢均經莊部長、第一金鴻董事長邱月琴、兆豐金鴻董事長董瑞兵、合庫金鴻董事長林衍茂、華安金鴻董事長陳芬蘭、台灣金鴻董事長林中元、台北金融大樓公司董事長賈永傑
transcript.whisperx[5].start 1819.06
transcript.whisperx[5].end 1842.426
transcript.whisperx[5].text 臺灣菸酒公司董事長湯祺安及相關人員已答覆決定一 報告及詢答完畢二 委員質詢未為及答覆及或請補充資訊請財政部於一周內以書面答覆委員另邀請期限者從期鎖定三 委員王世堅 蘇清泉 楊秋英 邱志偉所提書面質詢列入紀錄刊登公報並請財政部以書面答覆通過臨時提案留案宣讀完畢
transcript.whisperx[6].start 1843.656
transcript.whisperx[6].end 1870.256
transcript.whisperx[6].text 議事部暫不確定請議事人員宣讀今日議程邀請中央銀行楊總裁金榮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諮詢宣讀完畢現在介紹在場委員林德福委員與會政府官員中央銀行楊金榮總裁業務局謝鳳英局長
transcript.whisperx[7].start 1872.957
transcript.whisperx[7].end 1889.761
transcript.whisperx[7].text 發行局 鄧炎達局長外匯局 蔡炯明局長國庫局 吳亦娟局長金融業務檢查處 潘雅惠處長經濟研究處 曹體仁處長秘書處 龍瑞祥處長
transcript.whisperx[8].start 1897.784
transcript.whisperx[8].end 1920.781
transcript.whisperx[8].text 會計處 郭淑慧處長資訊處 陳功處長人事室 張淑慧主任法務室 謝家文主任中央印製廠 林忠謀總經理中央造幣廠 葉木欽廠長財經資訊股份有限公司 林國良董事長
transcript.whisperx[9].start 1928.601
transcript.whisperx[9].end 1933.216
transcript.whisperx[9].text 今日一時安排邀請中央銀行楊總裁金榮列席業務報告現在請楊總裁進行業務報告
transcript.whisperx[10].start 1945.802
transcript.whisperx[10].end 1975.222
transcript.whisperx[10].text 主席各位委員各位女士先生今天呈邀前來貴委員會報告本行業務自感榮幸本行經營目標在於促進金融穩定健全銀行業務維護對內及對外幣值穩定兼顧協助經濟發展以下緊究國內外經濟金融情勢以及大院上議會期以來本行執行貨幣信用與外匯政策等主要業務提出報告進行會事指教
transcript.whisperx[11].start 1976.722
transcript.whisperx[11].end 1999.691
transcript.whisperx[11].text 第二月 國際經濟金融情勢告一預期本年全球經濟成長率下滑本年3月S&P Global Market Intelligence假設戰爭於本年4月中旬前和緩預測本年全年經濟成長率由上年的2.9%降至2.6%較戰前
transcript.whisperx[12].start 2004.233
transcript.whisperx[12].end 2025.783
transcript.whisperx[12].text 預估值下調0.3% 主要經濟體預測值亦都下調國際油價高漲 全球通膨壓力升溫因近期能源價格大漲推升通膨壓力 本年3月S&P Global預測本年全球通膨率為3.2% 與上年持平 為較戰前
transcript.whisperx[13].start 2029.565
transcript.whisperx[13].end 2057.817
transcript.whisperx[13].text 預測值上調0.4個百分點主要經濟體預測值逾多上調第四頁二 上年10月以來FED兩度降息AECB維持政策利率不變BOJ升息 人行則延續寬鬆貨幣政策三 近期主要經濟體公債殖利率多走高美元指數回升 全球股價指數至歷史高點回落
transcript.whisperx[14].start 2060.933
transcript.whisperx[14].end 2089.852
transcript.whisperx[14].text 第七 全球經濟前景面臨諸多不確定因素預期本年全球經濟前景面臨地緣政治風險升溫美國貿易政策發展及其影響主要央行貨幣政策調整路徑AI發展之經濟效益及其影響中國大陸內需疲弱與產能過剩等問題等諸多不確定因素仍需持續關注後續發展及影響
transcript.whisperx[15].start 2091.113
transcript.whisperx[15].end 2117.15
transcript.whisperx[15].text 第八頁國內經濟金融情勢一上年台灣經濟成長率創近15年新高預期本年經濟成長穩健成長上年全年經濟成長率為8.68%則系近15年的新高掛二隨AI需求超乎預期本年國內經濟仍可望高度成長本行預測本年台灣經濟成長率為7.28%
transcript.whisperx[16].start 2121.834
transcript.whisperx[16].end 2139.326
transcript.whisperx[16].text 機構對本年台灣經濟成長率預測平均值為6.4%目前本行評估美國新關稅政策對本年台灣經濟成長之影響因素有限中東暫時增添全球經濟下行風險其對台灣經濟影響程度取決暫時持續期間強度以地理換為請翻開第十四頁
transcript.whisperx[17].start 2151.427
transcript.whisperx[17].end 2169.332
transcript.whisperx[17].text 三、上年通膨率反步回降,本年通膨展望溫和本行將持續密切關注中東戰事對台灣通膨值影響二、上年CPI年增率由2024年至2018續降為1.66%,系2021年以來最低且系2022年以來首度低於2%
transcript.whisperx[18].start 2176.934
transcript.whisperx[18].end 2196.843
transcript.whisperx[18].text 不含蔬果及能源之核心CPI年增益,亦由2024年至1.88,細降為1.66%。14月 本年1至2月平均通膨率平穩,1至2月平均CPI及核心CPI年增益分別為1.23%、1.93%。15月 本行上修本年台灣通膨預測力,並將持續關注。
transcript.whisperx[19].start 2203.886
transcript.whisperx[19].end 2214.833
transcript.whisperx[19].text 中東戰事對台灣通膨值影響本行將本年台灣CPI及核心CPI年增率預測值由上年12月預測之同為1.63分別上修為1.80、1.75%國內外主要機構對本年台灣CPI年增率預測值介於1.5至2.22%平均為1.74%通膨展望人數溫和
transcript.whisperx[20].start 2232.228
transcript.whisperx[20].end 2256.403
transcript.whisperx[20].text 第十九月一本行維持政策利益不變有助整體經濟金融穩健發展告一本年三月本行禮監事維持政策利益不變二本行適度調整選擇性信用管制措施將全國資產人第二戶過戶代管制程序上限由五成調升為六成維持無寬限期
transcript.whisperx[21].start 2261.892
transcript.whisperx[21].end 2261.912
transcript.whisperx[21].text 請翻開25頁
transcript.whisperx[22].start 2265.457
transcript.whisperx[22].end 2294.312
transcript.whisperx[22].text 事 掛無事儘管當前國內房市交易降溫因銀行不動產貸款成長趨緩不動產貸款集中度緩降為尚不宜大屋放寬信用管制因國內房價衰以反轉維修正有限民眾過屋貸款負擔人重若大屋放寬信用管制恐導致民眾看漲房價預期心理在即將使本行七度信用管制成效功虧一簣
transcript.whisperx[23].start 2296.688
transcript.whisperx[23].end 2311.236
transcript.whisperx[23].text 二十六月二 近一年來台股高漲之財務效果以及近期中東戰勢帶動油價上漲恐推升通膨預期兩者均可能使資金轉潤防勢二十八月
transcript.whisperx[24].start 2311.696
transcript.whisperx[24].end 2336.146
transcript.whisperx[24].text 三上年新來幣兌美元升值為相對主要貨幣匯率穩定掛五一上年國內匯市美元供給大於需求本行淨買匯76.9億美元三十一月掛五三上年十月期間新來幣兌美元貶值4.64%貶乎低於韓元及日元新來幣波動幅度則相對穩定三十三月
transcript.whisperx[25].start 2337.707
transcript.whisperx[25].end 2352.905
transcript.whisperx[25].text 4.本年2月底本行外匯存底較上年底增加,主要反映本行外匯存底投資運用收益。1.本行外匯存底系用於調節國際收支、穩定金融及外匯市場。本年2月底本行外匯存底為6,055億美元。
transcript.whisperx[26].start 2357.951
transcript.whisperx[26].end 2377.649
transcript.whisperx[26].text 上年12月底本行外幣流動性約為7,244億美元包括官方準備資產為6,075億美元其他外幣資產310億美元以及其他未來一年內可使用之外幣流動性858億美元
transcript.whisperx[27].start 2383.13
transcript.whisperx[27].end 2402.617
transcript.whisperx[27].text 三十六月四 新台幣鈔券改版推動進度及官民參與辦理情形告一本行已籌組並召開新台幣鈔券改版主題資訊委員會且達成多項具體結論及建議作為本行後續相關規劃之重要參考
transcript.whisperx[28].start 2407.46
transcript.whisperx[28].end 2428.178
transcript.whisperx[28].text 四十月國內重要支付系統盈利概況掛戶二持續督促財經公司協助推廣行動支付四十一月本行持續穩步推動CPTC研究計畫四十二
transcript.whisperx[29].start 2429.474
transcript.whisperx[29].end 2451.006
transcript.whisperx[29].text 四十二月 掛五一 建立零售型CPTC之數位經由平台掛五二 以批發型CPTC支持資產代幣化之創新發展並試驗建構未來代幣化金融基礎設置可行性三 改善跨境資物規劃四十三月 掛五四 舉辦CPTC面對面溝通活動
transcript.whisperx[30].start 2453.211
transcript.whisperx[30].end 2472.675
transcript.whisperx[30].text 44月結餘以上僅就國內外經濟金融情勢與本行主要業務提出檢要報告至於本行調節金融通貨發行外匯管理及經理國庫等業務外礦則置於賦入進行著參本行捐付促進金融穩定健全銀行業務維護對內及對外幣值穩定兼顧
transcript.whisperx[31].start 2476.356
transcript.whisperx[31].end 2497.362
transcript.whisperx[31].text 協助經濟發展之法定職責隨時密切注意國內外經濟金融形勢發展妥適運用各種政策工具以達成政策目標本行業務促成各位委員頂住與支持請藉此機會表達衷心感謝之意今後仍請各位委員實事指教謝謝
transcript.whisperx[32].start 2500.753
transcript.whisperx[32].end 2520.168
transcript.whisperx[32].text 謝謝楊總裁現在開始詢答先做一下宣告每位出席委員發言時間8分鐘必要時得延長2分鐘每位列席委員發言時間5分鐘今日上午10點截止發言登記現依登記順序請登記第一位林德福委員質詢
transcript.whisperx[33].start 2536.504
transcript.whisperx[33].end 2542.098
transcript.whisperx[33].text 謝謝主席楊總裁還有與會各列席官是不是請楊總裁請中央議員楊總裁
transcript.whisperx[34].start 2554.108
transcript.whisperx[34].end 2566.663
transcript.whisperx[34].text 因為先前央行理監事聯席會議的資料來指出整個標普全球公司假設中共的戰爭將在四月中旬前來和緩
transcript.whisperx[35].start 2568.846
transcript.whisperx[35].end 2580.176
transcript.whisperx[35].text 那央行預測今年的經濟成長率為7.28%是繼以中東戰爭可望在4月中旬結束你認為可不可能
transcript.whisperx[36].start 2582.691
transcript.whisperx[36].end 2599.343
transcript.whisperx[36].text 如果說我們如果說看那個美國的副總統的談話好像是這個會在四週到六週的樣子當然我們也希望如此那今天的經濟成長率真的你認為有這麼樂觀嗎
transcript.whisperx[37].start 2601.404
transcript.whisperx[37].end 2627.847
transcript.whisperx[37].text 以目前來講的話如果說戰事是短期的話呢那麼如果他沒有這個戰事沒有影響到美國的這個AI他的CSP就是他的那個他的那個他這些好像Amazon的這些公司他的投資的一個投資的一個的金額的話那麼台灣的出口
transcript.whisperx[38].start 2628.447
transcript.whisperx[38].end 2642.811
transcript.whisperx[38].text 他的動能還是會跟去年會差不多所以說總裁你認為這個很樂觀是不是目前來講是審慎樂觀那個因為台積運預測只有4.05%那央行你這個怎麼來看待這個
transcript.whisperx[39].start 2652.272
transcript.whisperx[39].end 2679.021
transcript.whisperx[39].text 數據的落差因為4.05跟7.28差將近一半就是三點多我想就是說它的情境的分析情境的分析有的機構他會認為說他就會把那個情境的分析把它用比較嚴重的一個情境分析來分析所以我認為他是用比較嚴重的一個情景
transcript.whisperx[40].start 2679.321
transcript.whisperx[40].end 2700.059
transcript.whisperx[40].text 那對照目前各方的說法,如果不信啊,中東的戰爭持續到九月,那我請問央行對我國經濟的成長,你認為有如何的影響?我想我們會,第一個我們會密切的注意,這是第一個,我們密切注意而且收集資料。
transcript.whisperx[41].start 2700.76
transcript.whisperx[41].end 2718.222
transcript.whisperx[41].text 第二個因為我們每年的理事會3月6月9月12月所以這三個月的時間到下一次的6月的理監事會足夠時間讓我們去掌握更足夠的數據來做下一次的一個預測
transcript.whisperx[42].start 2719.904
transcript.whisperx[42].end 2733.874
transcript.whisperx[42].text 總裁啊因為中東戰爭影響整個國際原油供應出現了嚴重的缺口那也帶動油價上漲直接推升尤其是塑膠品的生產成本物價紛紛的涵罩那
transcript.whisperx[43].start 2736.916
transcript.whisperx[43].end 2752.207
transcript.whisperx[43].text 石化上游的供應鏈吃緊國內的整個石化產業相繼針對PVC PE PP等宣告不可抗力並同步減產那本席關心通膨的問題請央行說明如果中東戰爭的持續弱物價壓力持續的擴大
transcript.whisperx[44].start 2761.77
transcript.whisperx[44].end 2774.079
transcript.whisperx[44].text 影花第二輪的通膨效應央行四月份你認為要如何去因應呢我想就是說現在目前大家都非常的關心這個通膨
transcript.whisperx[45].start 2776.261
transcript.whisperx[45].end 2780.924
transcript.whisperx[45].text 那以目前來講的話通膨我們認為就是說到目前我們把它上修到1.8那這個呢請請是用85塊從我們原先就是說油價是從58.3呢我們把它調高到85塊那這個呢調5就45%85塊是全年啦不是說某一個時點是全年
transcript.whisperx[46].start 2800.618
transcript.whisperx[46].end 2811.77
transcript.whisperx[46].text 那如果說這個它的油價現在85塊呢全年85塊大部分的機構大部分都是用85塊那要是再往上呢往上的話呢那通膨率就會往上如果說到100塊100塊左右的時候那通膨率就會往上調
transcript.whisperx[47].start 2822.621
transcript.whisperx[47].end 2831.646
transcript.whisperx[47].text 不過呢我們有初步的這個做一個情景假設說全年到100的話那這樣的話通膨大概會在1.9左右1.9會到1.9那個莊財因為
transcript.whisperx[48].start 2838.909
transcript.whisperx[48].end 2865.844
transcript.whisperx[48].text 關於主權基金設立的問題總裁在不同場合做過很多的說明我想這一點我就不要再追問本席想了解央行對AI人工智慧運用在投資的看法以挪威的主權財富基金為例利用人工智慧AI管理投資組合曾多次也揪出投資組合中可能涉及強迫勞動
transcript.whisperx[49].start 2867.065
transcript.whisperx[49].end 2887.653
transcript.whisperx[49].text 腐敗或詐欺等等這些問題的公司使其能先行的邁出避免人受潛在的損失那如果未來設立主權基金央行是否贊成主權基金管理應用AI人工智慧來輔助行政院官員的決策我想這個
transcript.whisperx[50].start 2889.854
transcript.whisperx[50].end 2910.938
transcript.whisperx[50].text 這個挪威的這個做法我覺得也是值得去參考不過現在目前我們的主權基金還是在正在發展當中那當然我想這個主管基金現在目前是國安會在歐比萊我希望央行能夠為他籌謀是是好謝謝
transcript.whisperx[51].start 2914.059
transcript.whisperx[51].end 2941.278
transcript.whisperx[51].text 因為近期我們受到中東戰爭的影響許多延誤料波動那過去央行曾表示這個新版鈔票單張印製成本由現在的差不多3.5元提高到5元那如果鈔票及延誤料採購成本異常飆高央行是否會暫緩整個鈔票的改版我想是不會啦
transcript.whisperx[52].start 2941.578
transcript.whisperx[52].end 2970.213
transcript.whisperx[52].text 不會喔那絕對一定要做就對了是是是那你絕對一定要做你等於是變成3.5元飆到5元你認為老百姓人民怎麼看3.5元到1.5元你看看齁就是說以24年24年從3.5漲到5元我如果說用直覺的來計算的話應該是不算高不算高對因為算不算高如果1.5元
transcript.whisperx[53].start 2971.374
transcript.whisperx[53].end 2988.954
transcript.whisperx[53].text 如果鈔票的紙及原物料採購成本異常的飆高這個其實像央行你們應該要考慮暫緩因為本席我請教總裁這個印製薪鈔成本5元是地板價還是天花板價
transcript.whisperx[54].start 2991.823
transcript.whisperx[54].end 3009.131
transcript.whisperx[54].text 我想在看後續的發展是怎麼樣委員一直在關心成本改版的招券的紙張的成本但是我也要跟委員報告
transcript.whisperx[55].start 3011.172
transcript.whisperx[55].end 3027.262
transcript.whisperx[55].text 金融安全就是說這個金融安全應該比我們所想的這個成本的高還要重要對應該是這樣子不然的話如果說到時候因為現在科技現在說實在是科技是非常的發達
transcript.whisperx[56].start 3028.123
transcript.whisperx[56].end 3055.774
transcript.whisperx[56].text 我知道啊我們二月四年來改版算是在其他先進的國家來看的話呢算是非常慢的非常慢的所以我們應該要就是說應該要加快進步那個總裁嗯央行舉辦新操改版的網路票選結果前五名分別是島嶼生態保育動物之美民俗捷徑還有和諧共榮保育植物之美對
transcript.whisperx[57].start 3056.834
transcript.whisperx[57].end 3078.229
transcript.whisperx[57].text 那目前發行的鈔票共五款是否就責定這五個主題來進行設計還是另有其他的考量我想這個十名甚至十二名之內我們都可以考量那個另外因為你正面正環正環就有不少的那個總裁因為這個
transcript.whisperx[58].start 3082.418
transcript.whisperx[58].end 3099.597
transcript.whisperx[58].text 央行有負責中央印製廠負責外交部的護照印製護照內的內頁的景點包括台北101、淡水漁人碼頭復工博物院、龜山島等等
transcript.whisperx[59].start 3100.717
transcript.whisperx[59].end 3124.35
transcript.whisperx[59].text 那鈔票改版圖案何不就沿用護照內頁的圖案主題來設計圖案爭議也比較低而且總裁你有什麼看法事實上那些是以前我們護照我也看過我覺得那時候設計得非常好那如果鈔卷鈔卷的話也可以來參考一下我是認為應該可以納進去考量是可以參考
transcript.whisperx[60].start 3128.343
transcript.whisperx[60].end 3148.725
transcript.whisperx[60].text 總裁 是鈔票改版央行說將研究採用更環保的紙張或複合材料並強化這個印製流程中的這個潛能減碳那新鈔印製能兼顧環保當然是好事啊但本期提醒未來如果新鈔改版
transcript.whisperx[61].start 3149.946
transcript.whisperx[61].end 3164.884
transcript.whisperx[61].text 必須要預先做好材料的測試鈔票的耐用度絕對不能比現在的鈔票來的差不然新鈔改版就是製造民眾使用的麻煩是委員說的沒有錯所以說那個央行那個總裁
transcript.whisperx[62].start 3169.83
transcript.whisperx[62].end 3196.732
transcript.whisperx[62].text 配合啊你也請總裁提供書面資料讓北京人了解紙鈔跟塑膠鈔啊優缺點因為跟全世界各國使用的整個狀況好不好最後一點喔對於新鈔改版央行說改版主要是因應舊版台幣還尾已經過時需要更新讓科技日新月異啊尾鈔技術也以時俱進光靠鈔票改版
transcript.whisperx[63].start 3198.413
transcript.whisperx[63].end 3220.152
transcript.whisperx[63].text 事不足以防範偽鈔流通那媒體報導偽鈔的這些教護只要他們入監以後服刑過後他們一般都從超就業對此央行應該要審慎的考慮這些妨害國幣懲治條例的修法加重處罰這些印製偽鈔的人
transcript.whisperx[64].start 3223.473
transcript.whisperx[64].end 3241.784
transcript.whisperx[64].text 好 那個委員的意見呢 我們都會納入參考好 我希望如此好 謝謝好 謝謝林委員請問各位委員對上次議事錄有無意義沒有意義 議事錄確定現在請第二位質詢 李燕秀委員質詢謝謝張偉 國務卿總裁 謝謝請莊義航 楊總裁
transcript.whisperx[65].start 3257.473
transcript.whisperx[65].end 3265.744
transcript.whisperx[65].text 早安總裁我想今天大概財務會的委員大概都還是關注在整個中東的局勢跟後續對於油價通膨跟民眾消費的影響這整個局勢從2月28號到現在
transcript.whisperx[66].start 3274.595
transcript.whisperx[66].end 3280.92
transcript.whisperx[66].text 我們看到從今年年初的油價每桶從60塊漲到現在90到110區間這樣的一個區間漲幅已經超過50%總裁你在會議上李監事會議後提到根據歷史的經驗這場中東的局勢不會拖延太長
transcript.whisperx[67].start 3294.589
transcript.whisperx[67].end 3305.539
transcript.whisperx[67].text 這樣子的預估這是根據你過去的判斷但是會不會太過樂觀剛才你也回答林德福委員說如果油價持續在100塊以上的話通膨可能會到達1.9對不對是 沒有錯
transcript.whisperx[68].start 3311.084
transcript.whisperx[68].end 3331.282
transcript.whisperx[68].text 中餐 那我們有沒有預估過 如果當然這不是我們預見 希望預見到的但是很多事情不是掌握在我們身上如果油價是後續持續的就是說戰爭持續的變成是區域性的戰爭因為現在看到的不只是荷姆茲海峽的問題
transcript.whisperx[69].start 3332.723
transcript.whisperx[69].end 3361.289
transcript.whisperx[69].text 萬一如果曼德海峽也遭到封鎖的話這個是連接鴻海、亞丁灣跟印度洋整個歐洲跟亞洲重要的航道也就是全世界非常重要兩個運輸油的航道都受到衝擊跟影響所以身為央行的總裁我們就不可能只有一種劇本去做預估 對不對總裁你了解我的意思嗎是是是 沒有錯不是掌握在我們身上委員講得沒有錯
transcript.whisperx[70].start 3361.829
transcript.whisperx[70].end 3382.876
transcript.whisperx[70].text 油價在100塊以上在120塊以上在150塊以上我們都要有不同的版本去做準備波動這些不只是價格的問題而是波動超大這個波動太大的話隨時波動再大後續可能會隨時再飆升這個衝擊影響總裁你有沒有去做這樣內部的預估跟因應
transcript.whisperx[71].start 3388.398
transcript.whisperx[71].end 3407.118
transcript.whisperx[71].text 因為這個後續對於我們的利息要不要升息啊都會有衝擊影響是 我想呢 中央銀行也不會就是說一開始的時候呢 我們預測的情境呢就是用非常的就是說把它假設說它是中東全面的戰爭而且呢 持續的時間到九月
transcript.whisperx[72].start 3410.481
transcript.whisperx[72].end 3435.202
transcript.whisperx[72].text 到今年年底 我想一個預測的機構呢不可能做這樣的一個情境的分析所以你沒有做 如果是有這樣所以有委員在講就是說 會這樣 當然會我們現在就是說 所以我剛剛也有在談就是說我們3月的時候呢 我們是用85塊 全年85塊來做情境的分析那
transcript.whisperx[73].start 3436.302
transcript.whisperx[73].end 3443.027
transcript.whisperx[73].text 你這個85塊的標準現在都已經到100了所以你那個85塊的標準你是用我們預置油價真的預置油價委員我跟你們報告就是說80現在都您的意思說現在都已經到100多了110幾了不 那個是暫時現在目前
transcript.whisperx[74].start 3454.415
transcript.whisperx[74].end 3456.495
transcript.whisperx[74].text 那如果說以整年來看的話從當時的58.3%我們的預測58.3%現在把它調升到85%的話那已經是上漲45%了全年所以你是整年的預估你用整年預估所以你的判斷就是說中東的局勢會在短時間之內獲得控制也不會
transcript.whisperx[75].start 3477.58
transcript.whisperx[75].end 3483.422
transcript.whisperx[75].text 我們也不需要去預估有120塊萬一油價升到120或150的版本不需要不是因為隨著時間的經過那我們的情景的分析呢就必須要做調整也許啊也許就是說你現在85的那如果說它的發展是很快的就結束了以後它往下的話那也有可能到70啊
transcript.whisperx[76].start 3503.01
transcript.whisperx[76].end 3525.531
transcript.whisperx[76].text 因為我今天時間有限我要提醒的是我當然希望局勢可以儘速獲得控制這大家都不希望看到但是那個局勢是什麼樣的變化沒有人可以掌握不是掌握在我們手中到底會是一個什麼樣的狀態跟變化所以未來油價假使是120 150
transcript.whisperx[77].start 3528.093
transcript.whisperx[77].end 3531.957
transcript.whisperx[77].text 會是一個什麼樣的狀態 我們有沒有什麼樣因應的工具有啦 有 那當然有 當然有中央銀行不會就坐在那邊 我們不會就說去說所以這就是我要問你的嘛 所以這就是我的重點我想呢 第一個政府的一個穩定這個油價的一個措施這個平穩的機制呢 它是不是也會考量到加大
transcript.whisperx[78].start 3552.596
transcript.whisperx[78].end 3558.383
transcript.whisperx[78].text 如果說油價一直往上的話這是第一個那第二個中央銀行呢我們中央銀行的一個職責呢有兩個第一個職責呢就是說我們要防止這個輸入性的通貨膨脹
transcript.whisperx[79].start 3567.213
transcript.whisperx[79].end 3588.727
transcript.whisperx[79].text 輸入性通膨膨脹跟我們的匯率有關所以呢也就是說我們的匯率一定要讓它穩定這是第一個那第二個呢如果物價持續的在往上漲的時候呢那麼可能市面上的一個通膨的預期呢它可能就會形成那這個時候那中央銀行可能就必須要朝緊縮的貨幣政策來執行
transcript.whisperx[80].start 3592.108
transcript.whisperx[80].end 3609.312
transcript.whisperx[80].text 緊縮貨幣政策 升息也是總裁 那我要請問你 這個戰爭持續的拉長就是引發最近有一個塑膠之亂我想你應該有聽 因為所有的東西都在漲所有東西都在漲 包括醫療手套什麼都在漲那這個塑膠之亂後續衍生的問題
transcript.whisperx[81].start 3614.493
transcript.whisperx[81].end 3639.78
transcript.whisperx[81].text 這個就不是只有政府我們控油就是油電不漲 動漲電價 重漲油價或來做補貼可以去做後續的處理那這些因應的政策跟方法你有什麼建議包括我們現在我先提一個比較具體我們這一次全球的尿素跟硫磺漲了35%跟45%其實這些都是從荷莫茲海峽運輸進來
transcript.whisperx[82].start 3642.021
transcript.whisperx[82].end 3665.472
transcript.whisperx[82].text 戰爭一旦拖長下一波農產品價格會不會也是持續的上漲我跟委員報告行政院的一個穩定物價小組呢他有包括了這個農業部他有包括了這個公平會他有包括了經濟部相關的部會包括我們中央銀行所以呢也就是說
transcript.whisperx[83].start 3666.592
transcript.whisperx[83].end 3691.759
transcript.whisperx[83].text 我剛剛所說的它的穩定的油價還有穩定其他相關物品的原料的物價行政院相關的部會都會去關注它那中央銀行的部分我剛剛也已經說明了我們中央的部分就是剛剛我所說的在匯率方面 在利率方面我們如何來配合政府的維穩的一個措施
transcript.whisperx[84].start 3693.246
transcript.whisperx[84].end 3696.297
transcript.whisperx[84].text 所以總裁就是說我剛才提到的就是說
transcript.whisperx[85].start 3700.473
transcript.whisperx[85].end 3723.269
transcript.whisperx[85].text 原油的漲幅後續整個原物料的上漲其實都是帶動所有的各行各業可能都會漲我剛才講包括醫療手套 塑膠藥罐藥師也預估出這些醫材未來的漲幅會高達三成我最近有聽到今年要選議員的朋友跟我講今年刊版反部已經公告
transcript.whisperx[86].start 3723.709
transcript.whisperx[86].end 3739.726
transcript.whisperx[86].text 所有帆布要漲兩成所以所有的東西都在漲那這些能源價格上漲對國內物價的傳導的效果影響程度其實是非常大的所以我擔心的不是只有今年1.9%CPI只有1.9%有可能會超過1.9%
transcript.whisperx[87].start 3747.633
transcript.whisperx[87].end 3769.191
transcript.whisperx[87].text 這個我就說 我也認為就是說第二季這是一個關鍵不過呢 我講說第二季是我們理監事會的第二季的時候呢那這是一個關鍵 不過我也跟委員報告事實上呢 我們每個月我們都對這個情境的分析做不同的一個的蒐集資料然後做不同情景來做分析
transcript.whisperx[88].start 3772.048
transcript.whisperx[88].end 3793.676
transcript.whisperx[88].text 那你有沒有給行政院 萬一如果CPI超過2的話行政院就要很多的工具進場我想行政院你看看行政院有非常大動作的就是說你看沒多久他就有一個聯合的一個穩定小組的一個會議那我也跟那個委員報告那個二屋戰爭的時候啊
transcript.whisperx[89].start 3794.236
transcript.whisperx[89].end 3799.841
transcript.whisperx[89].text 那二溫戰爭的時候那是供給面跟現在的是一樣的二溫戰爭現在這也是那個美伊戰爭這個戰爭所導致的供給面呢一定是要供給面的措施來因為我覺得這是一個跨部會的合作準定物價包括你手邊可以的工具財政部可以的工具我覺得所有事都要硬硬做好準備因為我今天議題很多
transcript.whisperx[90].start 3817.595
transcript.whisperx[90].end 3837.071
transcript.whisperx[90].text 我想問一個新青安2.0的事情2.0你的看法過去新青安1.0在實施的時候很多人認為說跟你的央行打房的政策事實上是相互衝突的那我們現在2.0要上路新的2.0有幾個政策就是包括5年縮短成3年取消部分利息的補貼還有年齡限制成為80條款
transcript.whisperx[91].start 3838.712
transcript.whisperx[91].end 3860.2
transcript.whisperx[91].text 你對於這個新政案2.0行政院其他包括財政部有沒有找你溝通過你的看法對於2.0應該做什麼樣的調整如果2.0要上路的話你有什麼看法我想第一個我要跟委員回答的就是說第一個就是說是不是他新政案跟我們的選擇新政案是不是有衝突我覺得事後來看的話是一致的
transcript.whisperx[92].start 3860.6
transcript.whisperx[92].end 3884.975
transcript.whisperx[92].text 因為我們都對對手過足對弱勢者給他一個信用所以你支持新西蘭2.0目前我在媒體上看待2.0政策你全部都支持沒有沒有沒有當然所以也就是說它有一些的副作用但是現在副作用在要到7月的時候呢這個部分呢行政院那有也有找我們中央銀行溝通那現在正是大家正在討論的時候
transcript.whisperx[93].start 3885.976
transcript.whisperx[93].end 3906.425
transcript.whisperx[93].text 好所以目前看起來就你的說法星期二2.0我在媒體上看到新的三個勝策跟方向基本上看起來你好像應該是支持的他那個是我不知道那個他的消息來源是從哪裡來我從媒體上看不過我跟委員報告現在他的final他的最終的版本還沒有出來
transcript.whisperx[94].start 3907.901
transcript.whisperx[94].end 3929.551
transcript.whisperx[94].text 目前看來都有找你溝通過就對了而且呢 幾次幾次大家都有在溝通好 就是目前在媒體上看到新千二二點零政策方向上是找央行溝通過的而且看起來是央行跟行政院跟財政部的版本是一致的沒有衝突的好 謝謝林委員到最後應該是一致的好 謝謝林委員下一位諮詢委員請賴世寶委員
transcript.whisperx[95].start 3949.665
transcript.whisperx[95].end 3952.467
transcript.whisperx[95].text 謝謝主席 一起更新進有請央行的楊總裁
transcript.whisperx[96].start 3966.83
transcript.whisperx[96].end 3995.169
transcript.whisperx[96].text 亂中有序亂中有序 因為外面在修正 所以你內心也在修正蛤 不會 不會喔外面是亂的 我們新的是靜的你不會睡不著覺 不會應該不會吧台北這樣 一直發生這麼多呢北的這麼厲害你 會不會心肝要丟一丟我們要了解情況我們要了解情況 但是呢在做決策的時候 一定心要很平靜 要很定
transcript.whisperx[97].start 3995.882
transcript.whisperx[97].end 4002.315
transcript.whisperx[97].text 可是現在已經匯出去 外資賣了匯出去才八千多億了 一直出力 一直出力 那你不緊張
transcript.whisperx[98].start 4004.796
transcript.whisperx[98].end 4022.493
transcript.whisperx[98].text 我想這個事件導致資金的外流到目前為止我覺得這是可控的而且我覺得股市如果說上漲到某一個程度來做某種程度的調整應該也是正常的
transcript.whisperx[99].start 4025.956
transcript.whisperx[99].end 4052.227
transcript.whisperx[99].text 所以你的意思好像保衛文講啦台股漲太多啦藉這個機會拉回來整理很正常啦我們不用怕啦跟你說的意思就這樣子對吧到目前為止我覺得台灣的經濟的成長各個層面來講都是還是很穩健的我問你喔這樣台股有沒有被低估有沒有超低有沒有
transcript.whisperx[100].start 4053.756
transcript.whisperx[100].end 4059.58
transcript.whisperx[100].text 有沒有超跌如果說我們從去年的2800多點上漲到35000多點然後現在是collection到33000 32000的話我覺得還是正常的
transcript.whisperx[101].start 4070.789
transcript.whisperx[101].end 4077.152
transcript.whisperx[101].text 所以跌的很正常就對了所以你說跌的很正常 央行總裁點兩點 台灣股市跌的很正常我想當然啦 我跟委員報告啦 我不是股市的專家啦
transcript.whisperx[102].start 4092.059
transcript.whisperx[102].end 4108.835
transcript.whisperx[102].text 價格 包括匯率 股市 金融資產上上下下都是正常的只是說 比較怕他上漲得太高結果跌下來跌得太重我們過去有沒有上漲太高我們前一陣子有沒有上漲太高
transcript.whisperx[103].start 4110.798
transcript.whisperx[103].end 4117.346
transcript.whisperx[103].text 我個人我不是股市的專家我想我也不要在這邊做某種的一個那這樣的話有些股民有些時候他聽了不爽快我想我還是不要發表意見好了你剛才已經發表很多了
transcript.whisperx[104].start 4129.676
transcript.whisperx[104].end 4156.338
transcript.whisperx[104].text 你剛才已經發表很多了 不用了這個楊金龍總裁頂兩頂現在股市向下是修正 正常狀況什麼都不怕你的意思就是這樣我的意思是說什麼都不必怕不是 還是要謹慎啦投資這種每一個人的投資的動機都不大一樣所以我在這邊講的時候我沒辦法對每一個人的投資的那個動機
transcript.whisperx[105].start 4157.219
transcript.whisperx[105].end 4159.021
transcript.whisperx[105].text 你今天現在講說我們央行估算優價一年85塊錢一桶
transcript.whisperx[106].start 4174.361
transcript.whisperx[106].end 4176.923
transcript.whisperx[106].text 現在我們了解大部分的機構都是他現在的中位數大部分都是說85塊可是萬一漲到150呢
transcript.whisperx[107].start 4190.735
transcript.whisperx[107].end 4219.054
transcript.whisperx[107].text 那到時候再重新再那個再重新再做一百五十什麼概念啊講到一百五十就代表打仗啊代表打仗啊那個委員我也可以這麼說啦那如果漲到兩百塊呢那漲到兩百五十塊呢我總覺得這種機率呢都不是很高以目前來講的話都不我也可以說那漲到一千塊啊那這個機率就幾乎近乎零啊
transcript.whisperx[108].start 4220.496
transcript.whisperx[108].end 4245.396
transcript.whisperx[108].text 所以這個還是要看機率啦你要小心喔 你要講說賬一千塊 大家怕死喔沒有沒有 我說機率是零 我說機率是零一千塊 一年只會賬到一千塊所以我就說 我的意思就是說在這邊講說他要賬到哪裡 賬到要有依據不要隨便就說我是會兩百塊啦 會升百塊啦因為現在已經有一百多啦 沙烏地阿拉伯的官員講說會一百八啊
transcript.whisperx[109].start 4247.417
transcript.whisperx[109].end 4271.571
transcript.whisperx[109].text 我想他在講這句話的意思是說可能會漲到這個某一個時點會漲到這個點但是全年的平均有可能嗎會那這個就是說他的機率是怎麼樣所以這個是要用機率去如果有打仗打到年底就可能了怎麼可能打仗一直打到年底就可能不過這個機率也不高
transcript.whisperx[110].start 4273.699
transcript.whisperx[110].end 4294.127
transcript.whisperx[110].text 你認為什麼時候可以這個機率也不高因為從我剛剛在講我剛剛是要從歷史的經驗來看然後第二個我就說美國的副總統他也就說可能是四桌到六桌我覺得美國的態度可能我們會稍微應該要比較相信一點
transcript.whisperx[111].start 4295.029
transcript.whisperx[111].end 4323.069
transcript.whisperx[111].text 所以就是再兩個禮拜再進出我也不敢這麼說因為他也沒辦法做他也沒辦法做這樣的一個所以這個是兩兆之間這個油價一直漲會產生全球性的通膨這句話對吧他會上全球的通膨看他第一個他漲的幅度是怎麼樣這是第一個第二個呢每一個國家的漲幅可能就不一樣
transcript.whisperx[112].start 4324.468
transcript.whisperx[112].end 4335.445
transcript.whisperx[112].text 每一個國家的帳戶就會不一樣為什麼因為每一個國家他的對石油的需求對石油的需求他就不一樣啊我們台灣的需求相較韓國相較日本我們需求是相較比他們還低
transcript.whisperx[113].start 4341.032
transcript.whisperx[113].end 4353.5
transcript.whisperx[113].text 我們都進口的相較低對對對我們有做進口但是呢他進口的量還是比我們高你講絕對值但是比例我們是很高的那央行我看你這裡要說你們隨時準備銀子就是要維持到32塊錢對不對
transcript.whisperx[114].start 4359.914
transcript.whisperx[114].end 4386.588
transcript.whisperx[114].text 你說是我們要維持在32塊錢什麼32塊錢 匯率匯率我們還一直都說匯率是由供需來決定我們供需決定 沒有確實就是這樣子 市場就是供需但是如果說對於市場有影響到我們的金融的秩序
transcript.whisperx[115].start 4387.188
transcript.whisperx[115].end 4391.952
transcript.whisperx[115].text 那是什麼時候?那就是他逼迫32塊就是了啊沒有 這32塊 我覺得第一個 中央議員一直都不會就說我們升的防線是在哪裡 我們貶的防線是在哪裡都沒有 所以沒有揚金的防線就對了都沒有 但是我要跟委員報告 就說
transcript.whisperx[116].start 4411.568
transcript.whisperx[116].end 4428.062
transcript.whisperx[116].text 剛剛我也一直在強調中央銀行在現在目前這個通膨的一個議題上第一個我們要比較注意的是輸入性通膨輸入性通膨到目前沒有輸入性通膨的話就跟我們的費率有關
transcript.whisperx[117].start 4436.413
transcript.whisperx[117].end 4441.68
transcript.whisperx[117].text 這個台幣的改版喔全部一百塊 兩百塊 五百塊 一千塊 兩千塊頭部要改嗎
transcript.whisperx[118].start 4445.308
transcript.whisperx[118].end 4458.457
transcript.whisperx[118].text 我們現在還是在考量不過跟其他的先進國家它的鈔票的張數不是張數就是說幾張幾張像有的都有8張的有7張的有6張的有5張的也有4張是比較低4張也有但是大部分都是在5張以上
transcript.whisperx[119].start 4472.006
transcript.whisperx[119].end 4477.108
transcript.whisperx[119].text 我們是五張我們是五張啊可是我給你算一下100塊錢的市佔率大概25到35%200塊錢小於1%2000塊3到5%1000塊40到50%500塊15到25%200跟2000就不要了如果接這個改就不要了不夠 2000還用啊
transcript.whisperx[120].start 4498.609
transcript.whisperx[120].end 4511.834
transcript.whisperx[120].text 不過委員每一個國家他有幾張幾張他也不是說哪一張比較低他就把它淘汰掉沒有這個是一個搭配剛剛委員就說那這張不要這個就你個人來看啦整體來看的話這個搭配起來是很好的啊
transcript.whisperx[121].start 4523.138
transcript.whisperx[121].end 4549.631
transcript.whisperx[121].text 200塊那個市場的效益一拍那我跟委員報告事實上很多國家的二字頭它的流通率也都很低但是他們也有說流通率低很低然後他就把它剔除掉沒有你總共要花多少錢做改版花多少錢做改版我們也已經講得很清楚啊如果改版的話一張大概會增加成本1.5塊錢
transcript.whisperx[122].start 4551.032
transcript.whisperx[122].end 4552.236
transcript.whisperx[122].text 那現在說看總量嘛因為總量現在50億
transcript.whisperx[123].start 4560
transcript.whisperx[123].end 4587.148
transcript.whisperx[123].text 不一定不一定啦不一定先讓我跟委員報告啦就是說我們反正都用張數來計算1.5下一次你們就講是50億啊沒有那大概就是說但是說實在說實在很多還有很多是多少多少第七波的信用管制從打草薄其實房市現在幾乎已經硬著陸了在硬著陸上現在有硬著陸嗎
transcript.whisperx[124].start 4590.071
transcript.whisperx[124].end 4607.317
transcript.whisperx[124].text 在運作路的路上所以你現在我們很密切的注意所以你現在維持市場穩定力放寬第二戶可以貸款次數增加就是想要不要讓他一直運作路要他變成運作路這樣講對嗎
transcript.whisperx[125].start 4609.959
transcript.whisperx[125].end 4624.379
transcript.whisperx[125].text 我們還是在強調要軟著陸啦這個就是我們的基調就軟著陸啦要讓他軟著陸現在呢我們就說房價是在反轉的開端而已啊開端而已
transcript.whisperx[126].start 4625.691
transcript.whisperx[126].end 4630.495
transcript.whisperx[126].text 我們密切的關注我們密切的注意好 謝謝 謝謝賴委員下一位請郭國文委員質詢
transcript.whisperx[127].start 4658.873
transcript.whisperx[127].end 4660.357
transcript.whisperx[127].text 謝謝主席 有請楊總裁請中央議員楊總裁
transcript.whisperx[128].start 4667.873
transcript.whisperx[128].end 4691.969
transcript.whisperx[128].text 國務院長總裁我想我也是來問一下房市的問題這一次的集中度相對有大幅的下降從37.6%降到36%但是顯然這一次看起來央行雖然非常注重這個集中度但關鍵還是在於說房價的漲幅所以還不到放鬆的時刻民眾的購屋都是主要國家當中最高的
transcript.whisperx[129].start 4692.449
transcript.whisperx[129].end 4721.082
transcript.whisperx[129].text 所以關鍵還是房價嘛就如同你在溫暖的喊話說只要建商讓利的話交易量就會出現這一說法其實說來說去關鍵就是房價可是這樣房價的情況底下呢目前為止啊我們一直想要去做這個信用管制從2020的12月到2024的9月第7波以至於到今天為止其實那個央行啊處理這個信用管制已經也長達4年之久
transcript.whisperx[130].start 4721.762
transcript.whisperx[130].end 4735.311
transcript.whisperx[130].text 就叫前一波的六年其實已經相近不遠那是不是代表著說房價只要沒有朝向這個所謂的軟著陸的這個跡象或到一定的幅度的情況底下這信用管制會持續進行是不是這樣子總裁
transcript.whisperx[131].start 4737.694
transcript.whisperx[131].end 4759.691
transcript.whisperx[131].text 我想這只是其中的一點而已不是說那一點很大點吧這一點這個也是其中一點另外一個就是說現在以現在來講的話譬如說中東的戰事中東的戰事中東的戰事沒有中東戰事我們就有信用管制對所以我們也是必須要非常小心
transcript.whisperx[132].start 4760.011
transcript.whisperx[132].end 4788.732
transcript.whisperx[132].text 對 所以說但是呢其實在這一次的房價過程當中呢其實有一個政策其實會變成推波助揚的效果也就是新青安新青安的這一個2.0 1.0討論了很多過去總裁也有講過因為新青安一開始太過於寬鬆造成許多負面的影響央行也付出了很多代價來刪後這是總裁你自己說的喔新青安的1.0到7月的時候就要到期接下來2.0要上路那過去你認為太寬鬆的部分是什麼
transcript.whisperx[133].start 4789.986
transcript.whisperx[133].end 4804.7
transcript.whisperx[133].text 是不是他那個寬限其實從3年改做5年應該不是800變成1000或是繳那個貸款還款的時限從30變40到底是哪一個太寬鬆哪一個你會擔心如果說2.0出現的話會不會重蹈覆轍卓財
transcript.whisperx[134].start 4808.263
transcript.whisperx[134].end 4828.861
transcript.whisperx[134].text 有沒有什麼呼籲事實上委員也點到了問題了啦你也點到了問題啦不過呢 我在想以財政部還有相關的部會來看就是說包括內政部啦 中央銀行啦 金管會啦這些都有在 現在都有在你要不要喊話一下 在那央行的高度你認為是不是要縮短
transcript.whisperx[135].start 4829.953
transcript.whisperx[135].end 4858.806
transcript.whisperx[135].text 寬限期寬限期如果說據我了解就是說財政部的資料顯示就是說很多一部分都是在三年以下就75%以下都是在75%以下都是25%在炒作25%是在五年我現在請教你的看法不是財政部的說明那我是總覺得就是說當然啦
transcript.whisperx[136].start 4860.847
transcript.whisperx[136].end 4869.494
transcript.whisperx[136].text 就一個弱勢者來看的話他五年也許對他是好的不過呢我說我個人的看法我覺得就是說
transcript.whisperx[137].start 4875.58
transcript.whisperx[137].end 4892.806
transcript.whisperx[137].text 一個寬限期如果太長的話不好一個寬限期太好的時候呢就這個借款人如果你如果說寬限期太長的時候不好五年太長嘛我們現在慢說五年是不是太長我們就說如果太長的話呢會導致他的一個財務的規劃呢比較鬆散
transcript.whisperx[138].start 4898.848
transcript.whisperx[138].end 4903.092
transcript.whisperx[138].text 會鬆懈如果說我們讓他縮短一點的時候也許他的一個財務的規劃會比較謹慎這樣的話對他也很好對銀行也很好你實在太客氣了總裁我想你大概已經點到說那個寬泉期確實是造成你困擾一個很重要的原因因為以前講過很困擾這個確實會有造成這種現象拉回來說
transcript.whisperx[139].start 4924.312
transcript.whisperx[139].end 4938.451
transcript.whisperx[139].text 剛剛在講說你把第二戶放寬到六成的這個部分普遍社會反應是好的一來很重要的關鍵原因是因為今年已經陷入這個交污潮你如果沒有的話你可能會造成違約潮
transcript.whisperx[140].start 4940.214
transcript.whisperx[140].end 4954.694
transcript.whisperx[140].text 違約草的話一般的購買方他可能會造成違約金會被拿走之外也會造成許多的困擾所以你現在的這個反應是好的我想你用意可能是怕造成這樣的結果但是我必須說
transcript.whisperx[141].start 4956.296
transcript.whisperx[141].end 4984.862
transcript.whisperx[141].text 從房貸的這個平均利率的部分 販款利率的部分從2024年的這個8月就是您在實行第七波的管制的2.5%到2.88%到今年的部分已經到2.60%到3.30%可是你去看銀行這兩年的販款那個利率利率不用講存款利率不用講 販款的部分大宗的周轉金的販款是下降的消費的貸款利率是下降的唯獨購屋的貸款利率是上升的
transcript.whisperx[142].start 4985.842
transcript.whisperx[142].end 4999.408
transcript.whisperx[142].text 而且是平均上升的0.16這代表什麼因為銀行嚴格審查這個房屋的貸款案件之後呢變造成啦是一個貸方的市場借方的市場也就是消費者自願提高利率來爭取這個貸款的成數
transcript.whisperx[143].start 5001.229
transcript.whisperx[143].end 5019.533
transcript.whisperx[143].text 有這種現象那同樣的問題啊現在房價高居不下的情況底下你即便讓他那個比較喘一口氣五成變六成可是你利率的負擔沒有下降啊對不對你看看喔央行所做的統計喔去年的部分呢本國銀行賺了6175億比前年呢增加了773億成長了14.3%喔
transcript.whisperx[144].start 5025.194
transcript.whisperx[144].end 5040.84
transcript.whisperx[144].text 那就是說呢銀行現在再加上今年是交付潮會不會姿態更高會不會把這個利率拉得更高你結果呢買第二戶的人他承受的壓力就會更大莊太第二戶的人是什麼樣的人你們報告中也寫得很清楚嘛
transcript.whisperx[145].start 5041.26
transcript.whisperx[145].end 5061.11
transcript.whisperx[145].text 你們肯定多數的第二戶都是屬於自己或家人自住嘛也就是所謂換屋啦就學啦就業啦需求啦或鄉下老宅不能住的情況底下才巴不得已再買第二戶嘛不是嗎總裁這種情況底下這樣的利率負擔總裁你要不要跟銀行喊一下話不要趁火打劫可不可以
transcript.whisperx[146].start 5063.11
transcript.whisperx[146].end 5090.527
transcript.whisperx[146].text 我想就是說就銀行他的一個放款的一個practice他的一個實務來看的話第一個他的定價還是以風險為考量啦每次都說風險管理但是我就問你嘛同樣的放款有兩個下降的一個是上升嘛現在這就是信用管制的後遺症啊銀行就是藉由你的大刀
transcript.whisperx[147].start 5091.707
transcript.whisperx[147].end 5106.173
transcript.whisperx[147].text 來砍向老百姓啊這個我也跟委員報告你不殺柏仁 柏仁是因你而受傷或死亡啊不不不你不想要這樣子 結果就這樣子了總裁因為就是說你要約束一下這些銀行啊是
transcript.whisperx[148].start 5107.754
transcript.whisperx[148].end 5117.206
transcript.whisperx[148].text 不然那個承擔罪過是在你身上啊總裁我要做善意的提醒我不再做譴責了好 委員我們針對委員這個議題我們再來深入的跟銀行來了解對 有道理嘛
transcript.whisperx[149].start 5122.913
transcript.whisperx[149].end 5146.189
transcript.whisperx[149].text 你應該找他來喝個咖啡 喝個茶 喝個白開水都好不要造成那個購買方的壓力第二戶就相信報告的第二戶大部分都自助你自己寫的啊 對不對那如果第二戶都要自助的話第一個原因就是利息你不應該負擔過重嘛不是嗎第二個原因是什麼這個六成有沒有機會再變成七成有沒有可能
transcript.whisperx[150].start 5147.352
transcript.whisperx[150].end 5170.094
transcript.whisperx[150].text 假以時日啊如果等同一支柱的話就跟第一戶差不多啦如果您的判斷是如此的話還是要保留一個戰略彈性空間將來以後再說我想委員的這個意見我們來深入來跟銀行來討論因為每一家銀行的practice是不大一樣的普遍是增加您的報告就講了獲利率增加14.3%
transcript.whisperx[151].start 5172.556
transcript.whisperx[151].end 5197.568
transcript.whisperx[151].text 這是你寫的所以說他很清楚嘛他獲利的來源在哪裡嘛你看起來看他你很溫柔的對待他吧這個貸款的這個比例增加但是貸款的利息卻更加的沉重總裁我是跟您分享民間的一些看法我不希望你在執行國家政策當中負有太多的一個不必要
transcript.whisperx[152].start 5197.568
transcript.whisperx[152].end 5199.749
transcript.whisperx[152].text 最後一個問題我想問一下總裁的部分我們之前有對話過黃金的問題
transcript.whisperx[153].start 5222.634
transcript.whisperx[153].end 5243.245
transcript.whisperx[153].text 房金起起伏伏啦大概我們現在大概總用了房金的存量全球排名第13名然後大概有兩兆之多目前在外匯的比例大概佔一成現在呢大概過去的話大概5%是因為價格增高但是我想問一下當初你說你如果說呢可以的話你也不排除要買進最近有買嗎
transcript.whisperx[154].start 5244.566
transcript.whisperx[154].end 5263.535
transcript.whisperx[154].text 最近沒有買三個月都沒有買沒有你也不管他起起伏伏沒有可是你整個整個外匯儲備的這個配比的部分的話難道黃金就是固定到5%或10%還是要全部都壓在這個美債嗎沒有一個固定匯率的政策嗎央行的一個政策是一個我們會試時機啦
transcript.whisperx[155].start 5266.696
transcript.whisperx[155].end 5284.923
transcript.whisperx[155].text timing現在不是timing,好的timing即便戰爭打成這樣子也不是好的timing我想也不是都不考慮現在還沒有還在看適當的時候還沒有,時機好的時機還沒有到所以說配比事實上是可以拉高的
transcript.whisperx[156].start 5286.323
transcript.whisperx[156].end 5301.913
transcript.whisperx[156].text 我們也有想要就進場但是這個不是timing也有想要進場但是還不是好的timing所以配比是可以拉高的不是固定的好謝謝總裁謝謝主席謝謝來謝謝國委下一位執行委員請林黛樺委員好主席有請總裁有請莊議員楊總裁
transcript.whisperx[157].start 5317.466
transcript.whisperx[157].end 5330.601
transcript.whisperx[157].text 本席也是針對這個台幣匯率的穩定不應單靠美債就我們這個我們本國央行美債尤其是供應國家的債券跟黃金的配比的策略也是要救教這個總裁
transcript.whisperx[158].start 5332.443
transcript.whisperx[158].end 5355.316
transcript.whisperx[158].text 那我想在外匯存體的部分的治理不過有這個三層保障當然貨幣政策以穩定為優先外匯存體是台幣實質購買力的核心支撐這也就是為什麼我一塊麵包可以用30元台幣而不是用3000元台幣來購買所以這也是穩健的外匯存體跟貨幣政策保障了人民台幣購買力
transcript.whisperx[159].start 5356.697
transcript.whisperx[159].end 5370.328
transcript.whisperx[159].text 那外匯存底的這個穩定的外匯存底跟黃金儲備人民也得到三個保障那第一個匯率與物價的緩衝保障當外部衝擊來的時候央行更有能力來穩定市場減少進口物價 油價
transcript.whisperx[160].start 5372.049
transcript.whisperx[160].end 5393.376
transcript.whisperx[160].text 原物料與藥品價格被匯率波動放大的風險第二個呢這個保障是金融跟就業的穩定保障企業與銀行的外幣調度若更穩金融市場就較不容易因為突發的震盪而緊縮對投資融資就業當然有幫忙
transcript.whisperx[161].start 5394.236
transcript.whisperx[161].end 5402.959
transcript.whisperx[161].text 那第三個呢這樣的穩定的一些政策呢也讓國際貿易與企業競爭力成為國際貿易跟企業競爭力的後盾外匯存底及黃金儲備會穩定新台幣對外匯率與確保國際支付的能力為企業在國際貿易中提供這個
transcript.whisperx[162].start 5417.003
transcript.whisperx[162].end 5434.358
transcript.whisperx[162].text 安定的貿易基礎我講到這個啊其實當然外匯的台灣的外匯存體跟黃金擴存配置是否合理那在這邊呢我講到這三點保障其實是我要給央行說聲讚啦其實在外匯存體6029億的美金當國際金融震盪兩岸局勢緊張尤其現在
transcript.whisperx[163].start 5440.803
transcript.whisperx[163].end 5465.966
transcript.whisperx[163].text 全球油價蕩漲的時候我們這筆錢確實是用來穩定新台幣穩定物價保護我國民生開支的最後一道防線美伊戰爭之下台幣匯率目前是穩定的所以在這邊也感謝總裁跟各位同仁的用心那當然我還是會提到這個台幣穩定台幣價值的兩大支柱的對比到底黃金儲備跟債券
transcript.whisperx[164].start 5466.647
transcript.whisperx[164].end 5495.59
transcript.whisperx[164].text 那黃金還是硬通貨啦這個價值基礎具有內在的價值而且是避險之王不會隨著國家的信用消失而歸零如果現在真的發生債券要貸的話會是貸黃金不會是貸鑽石其實理由就在這邊那債券呢這個是本席的這個對於為什麼本國持有這麼高比例的美債我是有疑慮的還是在於債券它是他國的信用保證
transcript.whisperx[165].start 5496.451
transcript.whisperx[165].end 5502.335
transcript.whisperx[165].text 它的價值基礎完全取決於發行國的幣值跟主權債性也就是會面臨發行國的通膨與信用貶值所以當美元在貶的時候我們國家也可能會跟著貶
transcript.whisperx[166].start 5514.762
transcript.whisperx[166].end 5519.067
transcript.whisperx[166].text 它在美元漲的時候我們台灣的這個台幣也會跟著連動性的漲這就是一個我們要注意所以財務操作的基本原則是風險規避我想這個是基本常識
transcript.whisperx[167].start 5531.64
transcript.whisperx[167].end 5554.407
transcript.whisperx[167].text 財務操作的基本原則是風險規避所以美債持有將近外匯存底的八成甚至八成五為什麼把雞蛋全部放在同一個籃子裡有沒有評估增持其他工業國家的債券呢以間接強化外交的影響力比如說我想目前我們最
transcript.whisperx[168].start 5557.228
transcript.whisperx[168].end 5573.381
transcript.whisperx[168].text 一個事件在美中的加稅的競爭當中中國他就澄清喊出說如果美國你再繼續對我中國做不合理的加稅的話那我就要拋售美債
transcript.whisperx[169].start 5575.582
transcript.whisperx[169].end 5594.18
transcript.whisperx[169].text 這就是對於在只有當一個債券的持有是對於外交的影響力我是不是也可以對其他的工業國家本國我們對於德國日本的債德國他也可以發行美債啊英國也可以發行美債啊日本也可以發行美債啊
transcript.whisperx[170].start 5594.6
transcript.whisperx[170].end 5622.601
transcript.whisperx[170].text 當然他們國家的債券我們當然也可以評估有沒有可能這樣的這也間接的在我們影響外交影響力當中我們的貨幣政策是可以盡一點心力的另外在投資學的三大原理流動性跟獲利性跟安全性當我國過渡只有這麼多的美債這個安全性又在哪裡呢總裁你先暫時先把這個我的問題先放下我們再看黃金
transcript.whisperx[171].start 5623.582
transcript.whisperx[171].end 5648.99
transcript.whisperx[171].text 黃金在各國 這個是我調出來的資料這個各國持有美國公債的比例跟黃金的比例我就看後面這五年2020年3月到2025年3月這當中國際上持有美債其實是最後的2020到2025是持平的甚至也緩慢下降但是黃金是升值的
transcript.whisperx[172].start 5650.09
transcript.whisperx[172].end 5672.344
transcript.whisperx[172].text 這個是一個國際趨勢好那在這個是你們提供給我的我們從78年一直到115年2月我整個的黃金的存底的存庫38年來是持平的這跟國際上的一個局勢上好那所以這也要救教總裁那為什麼黃金
transcript.whisperx[173].start 5672.944
transcript.whisperx[173].end 5681.009
transcript.whisperx[173].text 不爭持呢這兩年來的黃金價格從2176美元超到現在5211美元漲幅高達110%當然這一兩週有下降但是你不可以去否認一件事實這樣的一個是呈現一個上升的趨勢黃金作為實質保證的戰略價值當全世界央行都在這個曲線上獲利
transcript.whisperx[174].start 5702.964
transcript.whisperx[174].end 5717.986
transcript.whisperx[174].text 避險的時候台灣央行的黃金石油量卻是一條死魚幾十年沒有成長好我在這邊有一個具體針對這兩個這樣的訴求總裁你可以一併的表達您的看法
transcript.whisperx[175].start 5718.567
transcript.whisperx[175].end 5740.241
transcript.whisperx[175].text 在降低資產配置高風險的策略提出如何解決主要債券過度集中的風險的說明是否評估增持其他工業國家的債券來分散風險並間接強化外交影響力另外也提出黃金持有策略的評估報告為新台幣提供更強大的實質支撐對應全球的債信貨幣的貶值潮總裁您回應一下
transcript.whisperx[176].start 5748.926
transcript.whisperx[176].end 5771.181
transcript.whisperx[176].text 我覺得委員分析得很好你分析得很好不過我想因為你時間也有限所以你也要我們做功課那我非常贊同就是說我們也來做個功課來看看能不能來說服我們委員所提出來的這個
transcript.whisperx[177].start 5772.022
transcript.whisperx[177].end 5774.263
transcript.whisperx[177].text 說服啊 表示都不調整啊當然啦 就是說這個我所謂的說服的話呢表示就是說我們的做法是什麼也不是說硬梆梆的就NO 也不是這個意思好 那兩週內提供出來好嗎是是是 一定會
transcript.whisperx[178].start 5792.512
transcript.whisperx[178].end 5819.553
transcript.whisperx[178].text 那另外本席要針對這個當然了外匯存體是可以穩健但不能過度集中這是本席一再強調其他工業國家的債券是否也予以評估黃金可以不追高但是不能沒有策略來維持國內物價跟獲利的穩定央行必須具備與時俱進的合理外匯存體跟黃金資產的配置那這是本席的還是一個追蹤的期待
transcript.whisperx[179].start 5822.175
transcript.whisperx[179].end 5851.147
transcript.whisperx[179].text 另外我針對信用管制的無差別性台灣房價的所得比就是衡量購屋壓力的指標呈現的是區域分化六都跟其他縣市即使是六都 北 中南高雄市跟台北市整個在購屋壓力的指標就已經有很大的不一樣所以央行是否考慮分期管制
transcript.whisperx[180].start 5851.787
transcript.whisperx[180].end 5877.807
transcript.whisperx[180].text 譬如說針對特定的房屋過熱區淡黃區實施高強度的管制但給予非六都或基礎建設發展中的地區或者是北中南東我們的區域發展是不平衡的是不是給予非六都或者是北中南東不同的區域或者是在基礎建設發展中的地區有較大的信貸彈性
transcript.whisperx[181].start 5879.668
transcript.whisperx[181].end 5902.901
transcript.whisperx[181].text 那給予支持地方創生跟人口回流所以在這邊是不是您願意來評估滾動式的檢討納入區域差異指標在你做信貸的時候因為就我一個直轄市高雄市我就覺得我跟台北市的資源長期以來就分配不均了我不要說六度光是六度我就覺得北中南
transcript.whisperx[182].start 5903.661
transcript.whisperx[182].end 5925.18
transcript.whisperx[182].text 就已經有很大的差別了我們跟台南跟高雄跟台北我就覺得差別很大包括新北也是一樣我都覺得我們都覺得相關的資源基礎建設我們南部高雄就有一條快速道路你很難想像你在台北新北基隆桃園
transcript.whisperx[183].start 5926.661
transcript.whisperx[183].end 5945.168
transcript.whisperx[183].text 幾十條的幾十條一二十條的這個快速道路你很能想像喔快速道路我們高雄只有一個八八屏東高雄一條現在要增建第二條叫做國七你看北部台北新北桃園基隆包括它的這個捷運的綿密度
transcript.whisperx[184].start 5945.968
transcript.whisperx[184].end 5966.327
transcript.whisperx[184].text 所以光是這樣的基礎建設 包括 只是說你在做信貸的時候我希望你能夠納入區域指標 針對六都與非六都 這是一個指標你針對區域的發展 北中南東也是一個區域指標能夠呢 這個 以及呢 在基礎建設發展地區需要較大的 譬如說特別一些農業區
transcript.whisperx[185].start 5967.888
transcript.whisperx[185].end 5983.285
transcript.whisperx[185].text 等等你應該採取差異化的管制標準例如差別的貸款陳述避免信用管制變成區域歧視總裁您怎麼看這樣的一個建議呢您的建議我們會考量
transcript.whisperx[186].start 5984.406
transcript.whisperx[186].end 6010.611
transcript.whisperx[186].text 好您這個也可以兩個禮拜評估一下我覺得這很嚴肅喔在這個信貸當中你的一個打房政策跟我們這個新清安的這樣子當然是很矛盾我在總諮詢都有提出來那當然現在是對於本身你要做再持續的做信貸的一個這個放寬或加嚴的時候我相信我要請託你在區域的均衡上這個一定值標一定要納入好謝謝 以上好謝謝林委員下一位請劉書斌委員質詢
transcript.whisperx[187].start 6030.051
transcript.whisperx[187].end 6031.601
transcript.whisperx[187].text 好有請楊總裁請中央銀行楊總裁
transcript.whisperx[188].start 6038.415
transcript.whisperx[188].end 6059.533
transcript.whisperx[188].text 劉仁早總裁早我們現在首先來討論一下台幣改版的問題在看到現行的台幣它的偽造率是非常低的數位化的支付也在提升我想你們這次要改版的一個很重要原因可能是防衛技術要升級還有數位跟綠色轉型是嗎這是你們最主要的目的嗎
transcript.whisperx[189].start 6065.777
transcript.whisperx[189].end 6088.104
transcript.whisperx[189].text 我想呢最主要的目的呢也是在於這個議題我來是不是請我們的發行局來回答這個問題不過我想因為時間這個是應該從你們報告當中拿出來的這是其實這兩個目的是最重要的嘛對不對這個您說哪兩個是最重要的防衛技術升級的需求還有數位跟綠色轉型的需求
transcript.whisperx[190].start 6089.585
transcript.whisperx[190].end 6114.062
transcript.whisperx[190].text 我想一個改版也不是就只有這兩個目的當然當然也不是這兩個目的我跟委員報告台灣二十幾年 二十四年我知道我知道二十四年我們才改版事實上我們裡面的design我們的設計說實在跟我們台灣目前在經濟 社會 文化方面都已經是
transcript.whisperx[191].start 6115.863
transcript.whisperx[191].end 6131.827
transcript.whisperx[191].text 我知道總裁我知道這個議題我都看過你的報告我現在想問的下面就是說這個改版看起來有24年沒了所以有些需求對不對那我現在問題是你們在規劃呢是應該是2026年訂稿之後經過設計的他會置版跟試印嘛最快是2028年117年要去編列預算起來說立法院通過順利的話就會開始首批印製嘛對不對對那請問一下那這樣子會因為現在
transcript.whisperx[192].start 6142.569
transcript.whisperx[192].end 6151.8
transcript.whisperx[192].text 中東的這樣的情勢我們的預算什麼的中油啊台電都大幅增加支出等等你們還有動漲嘛對不對那這樣子你們會不會延後的這樣一個執行不會好不會那沒關係我再繼續問下去那不會齁這個之後應該只能增加十幾億嘛對不對每年大概增加十幾億
transcript.whisperx[193].start 6161.511
transcript.whisperx[193].end 6172.735
transcript.whisperx[193].text 我們會就是說每張到目前為止我們評估還是會就是說會增加成本1.5OK了解好我現在問最重要的是有特別性之後你們會增加二字頭例如說200 2000個新超比例對不對那這樣的一個情況就是說這個比例增加大概會多少
transcript.whisperx[194].start 6178.217
transcript.whisperx[194].end 6186.843
transcript.whisperx[194].text 那會不會增加因為通膨或是說你每當會節省一些預算因為你印製的成本每次都不用再每次再換鈔我想這個兩百兩千會不會增加通膨節省這個不會增加通膨吧應該不會
transcript.whisperx[195].start 6197.53
transcript.whisperx[195].end 6206.717
transcript.whisperx[195].text 應該不會啦你的感受讓民眾感覺尤其現在呢我以每次兩百塊的比例兩百塊的拿出來如果變得比較多每次有兩百塊那變成說呢我的物價可能就說剛好有兩百塊本來從一百塊出頭變成變成接近到兩百塊啊那當然有這個需求啊不會啦
transcript.whisperx[196].start 6214.483
transcript.whisperx[196].end 6232.649
transcript.whisperx[196].text 形式上面就有這樣的一個狀況嗎不會因為這個超卷就是說一百兩百五百一千兩千這都是一個搭配啦不會我們就說我們兩百就增加了兩百的話呢那會不會就是說導致通膨不會
transcript.whisperx[197].start 6233.689
transcript.whisperx[197].end 6251.146
transcript.whisperx[197].text 那你要隨時追蹤喔 你到時候要追蹤喔那另外我們繼續再往下看喔光學識別系統跟硬體的更新你們看到這樣子的一個圖上面很像政府的政策都有民間負擔這邊部分會不會有些會不會有些差異性政府要做一些幫忙在光學識別設計上面還是都一樣嗎
transcript.whisperx[198].start 6256.427
transcript.whisperx[198].end 6275.067
transcript.whisperx[198].text 你所謂的硬體多要更新 明天你增加改版對不對對對對會啦 但是呢這個是他一share了以後呢就應該就是說就不會就很多啦因為我們如果說就硬體來更新的話大概就是說全部是16億是不是
transcript.whisperx[199].start 6277.13
transcript.whisperx[199].end 6291.801
transcript.whisperx[199].text 那你16億元那是由民間來支出嗎那你是不是要做一下補貼民間是民間對啊是民間啊但是你增加他的預算啊你增加16億的支出你不需要幫他支付一些費用嗎
transcript.whisperx[200].start 6295.322
transcript.whisperx[200].end 6300.688
transcript.whisperx[200].text 總裁你必須要苦民所苦就算是銀行或是點鈔機等等的啊我想是這樣子啦就是說他如果說就廠商來講的話廠商去ATM調整的話呢那是廠商賺錢是反而是他賺錢啦而不是他負擔啦
transcript.whisperx[201].start 6315.984
transcript.whisperx[201].end 6326.654
transcript.whisperx[201].text 沒有我說 你說光學 識別鏡 硬體等等的這個不是增加負擔嗎 你的角度看起來很奇怪這個大概就是說是銀行要負擔那銀行負擔的話 我總覺得如果說以16億來講的話如果說16億來講 銀行那麼多
transcript.whisperx[202].start 6336.963
transcript.whisperx[202].end 6343.847
transcript.whisperx[202].text 賺的錢很多可以支付起來就對了是不是我總覺得對銀行來講那超商的部分怎麼辦 點等的部分你要從民間的角度去看你現在應該是一個我想我跟委員報告像這種調整像這種調整以前都調整過了那以前調整過的話它在調整的過程都很順利那這些的問題以前也都面臨過
transcript.whisperx[203].start 6363.559
transcript.whisperx[203].end 6381.451
transcript.whisperx[203].text 所以在經驗上應該就說它不是一個大問題我們繼續往下看這部分有沒有包括紅色的部分應該是您個人喜,接下來的這個有十二項你們個人喜這部分當然已經知道是保育生態那這邊你自己的喜好呢
transcript.whisperx[204].start 6383.211
transcript.whisperx[204].end 6392.762
transcript.whisperx[204].text 你說我的喜好你如果在那個16項12項當中您的喜好這部分您的選項是什麼我個人的是不是對我個人選項我剛剛也都在講啊他我們那個我們不會說按照1234這樣來排列啦這些都可以做參考啦
transcript.whisperx[205].start 6400.39
transcript.whisperx[205].end 6416.882
transcript.whisperx[205].text 那您的選項沒有我的選項 我總覺得這都很好這都很好我們繼續 終於看到一個重要的問題央行這邊呢在19號的時候呢他做了一個國際原物料的原油價的這個因為有預測從58.3元變到85塊錢然後CPI變成1.5 1.8可是這個1.8其實是因為有了這個還漲的機制嘛 對不對不然本來應該是2.15對不對那現在問題是說CPI
transcript.whisperx[206].start 6430.291
transcript.whisperx[206].end 6443.838
transcript.whisperx[206].text 超過多少央行才會準備要升息我們一般來講都說2%是一個警戒線不過我總覺得2%它不是C0它不是那個最高點因為就是說2%就中央銀行來看的話2%是中長期的目標
transcript.whisperx[207].start 6454.404
transcript.whisperx[207].end 6463.854
transcript.whisperx[207].text 對 可是總裁 你當初我們看到了 你在報告上面就出現了實際上如果真正加進去沒有這樣的專案緩漲基礎就2.15了嘛 對不對那過去大概2.5的時候大概就會調升了嘛 對不對這個到時候再說啦現在也不能說我們2.5我們就一定要升啦
transcript.whisperx[208].start 6474.565
transcript.whisperx[208].end 6477.226
transcript.whisperx[208].text 那如果以其他國家的央行包括歐洲央行跟聯準會齊高了呢我跟委員報告你看看他現在那個美國的PCE他的通膨他都2.8還有扣還3.1但是他說他當然他現在他的計畫是要下降的要降息的
transcript.whisperx[209].start 6497.637
transcript.whisperx[209].end 6501.918
transcript.whisperx[209].text 那個是美國總統他去干預他們的聯準會啊這個是聯準會他自己說的不是美國總統要指示他在這麼做的不是他的2.8跟3.1現在他的通膨率但是他還是在講說他可能要到2028年才能夠達到所以他的降息他現在在講的降息
transcript.whisperx[210].start 6524.324
transcript.whisperx[210].end 6534.471
transcript.whisperx[210].text 楊洋總裁你剛說你可以知道你這個資料是從什麼時間出的因為三月二月底沒有啊他最近而已喔好如果是這樣的情況之下你可以看到國際趨勢你看還有不只是美國那跟還有歐洲這部分各國差異有差異我們就繼續再往下看那另外一個部分是看到的是中油現在累計的虧損到去年年底就804億對不對財務有緊繃那您知道他已經有提出3500億的四年增資計畫嗎
transcript.whisperx[211].start 6550.901
transcript.whisperx[211].end 6552.562
transcript.whisperx[211].text 那請問從523章2022年開始到現在中油增資央行有沒有關注到經濟部或是中油的原物料的避險的事情
transcript.whisperx[212].start 6569.256
transcript.whisperx[212].end 6582.486
transcript.whisperx[212].text 這個是他的職權啦而且我跟委員報告他們中友跟他們台電他們自己內部如何來避嫌我覺得中央銀行是
transcript.whisperx[213].start 6583.987
transcript.whisperx[213].end 6600.157
transcript.whisperx[213].text 是沒有這個沒有啊總裁你不要你要講的清楚你雖然看起來是看起來是經濟部的資訊但是物價是由您在決定和穩定度通貨膨脹是您來決定他如果有問題的話是不是你要決定我跟妳報告一下就是說
transcript.whisperx[214].start 6604.6
transcript.whisperx[214].end 6628.132
transcript.whisperx[214].text 我們二五戰爭的時候 包括現在中東戰爭它這個都是原物料 都是供給面都是供給面的因素所造成的那供給面的因素所造成的 就要讓供給面的政策去對付它那供給面的政策對付它 這個行政院它就有一個物價穩定的小組中央銀行 我剛剛也已經報過過了
transcript.whisperx[215].start 6630.293
transcript.whisperx[215].end 6633.235
transcript.whisperx[215].text 我們中央銀行有兩個有兩個職責在這裡面呢第一個我們是涉及到匯率的問題涉及到利率的問題對然後想到匯率的問題我想到那現在美金需求就變得很多了所以不會影響到我們匯率現在匯率其實我們已經今天就已經出現這樣是不是要增加到32塊的這個標準啦
transcript.whisperx[216].start 6653.489
transcript.whisperx[216].end 6666.059
transcript.whisperx[216].text 所以我就說了匯率我們會一定會抓這是我們的職責這是一片連動的啦我想最後再最後一個問題就是經濟部跟中央的這個能源物料原物料必顯的這部分您有了解嗎我們基本上
transcript.whisperx[217].start 6669.281
transcript.whisperx[217].end 6686.811
transcript.whisperx[217].text 基本上他們的那個避險的一個措施我們基本上我們也都會有注意他啦不過呢這是他們自己內部所做的一個避險的我知道 但是你有知道因為你才做那個後面的這個物價穩定的部分嘛包括做過匯率的部分去做一些改變嘛對不對是 這個是他們的職權啦那這個是經濟部主要的那我們中央銀行也可以當然委員在講也沒有錯啦我們中央銀行也可以做一個advice啦
transcript.whisperx[218].start 6696.876
transcript.whisperx[218].end 6716.409
transcript.whisperx[218].text 這只是說advice而已是一個對 就是你們互相有商量那我知道中央營養跟部會事實上是要做很好的在溝通是是是 委員這樣說也沒有錯啦OK 好 謝謝好 謝謝林委員下一位請賴會委員 委員質詢先宣告 等到本席質詢完畢之後休息五分鐘謝謝謝謝主席 請央行總裁 楊總裁請周一郎 楊總裁
transcript.whisperx[219].start 6729.548
transcript.whisperx[219].end 6729.95
transcript.whisperx[219].text 那有人找
transcript.whisperx[220].start 6730.974
transcript.whisperx[220].end 6756.945
transcript.whisperx[220].text 總裁早安本席來自於農業的險區在這一次中東的戰事其實不只是能源的問題其實也跟農業有相當大的受影響中東的戰事其實我們都知道美國是我們台灣最主要的農產品進口的國家
transcript.whisperx[221].start 6760.286
transcript.whisperx[221].end 6783.834
transcript.whisperx[221].text 那這樣子的一個過程裡頭其實不是只有這個石油漲價所有台灣高度以來進口的各項產業其實都非常非常的辛苦尤其是說股物價格的波動還有今天要跟你探討的就是蛋回價格的一個波動蛋一頓從美金500漲到一頓美金700
transcript.whisperx[222].start 6787.535
transcript.whisperx[222].end 6808.211
transcript.whisperx[222].text 那你看我們有很多農作物其實我們就需要養葬這個氮煤有氮煤的話我們的植物才會長得好這植物長得好的話那基本上就是說我們的畜牧產業才可以把這個牛羊還有我們的豬把它養胖養足
transcript.whisperx[223].start 6809.372
transcript.whisperx[223].end 6825.661
transcript.whisperx[223].text 那可是我們看到央行在報告中有特別提到了從伊朗戰爭開始 燃油那個價格還有穀物的價格還有氮毀的價格都上漲了可是你在這裡你還是特別提到了就是說
transcript.whisperx[224].start 6826.961
transcript.whisperx[224].end 6852.326
transcript.whisperx[224].text 這一個蛋回出口受影響那美國的農產品成品那個整個生產的這個成品也上升了那該用什麼樣的一個方式那顯然你在這一個看到你的報告裡頭你還是認為你還是認為就是說我們CPI溫和溫和的一個上漲那你甚至就是
transcript.whisperx[225].start 6853.88
transcript.whisperx[225].end 6868.837
transcript.whisperx[225].text 這個其實我想很多委員今天一直在跟你抗議的就是說怎麼會是你的評估是這麼溫和呢你可不可以解釋一下我比較在乎的當然石油是最重要的可是我的蛋回就是影響到我的農產品
transcript.whisperx[226].start 6872.079
transcript.whisperx[226].end 6895.825
transcript.whisperx[226].text 我跟委員報告基本上這些的因素就是說會影響到各種各種的一個像委員所列出來的這些的原物料的一個上漲那這個所以我就說第一個我們的行政院的穩定物價小組他就是有做一些的立即有做一些的因應
transcript.whisperx[227].start 6897.225
transcript.whisperx[227].end 6918.741
transcript.whisperx[227].text 那我跟委員報告在俄烏戰爭的時候政府也是用這樣這一個供給面的措施來緩和我們國內的物價的上漲那在當時說實在的我跟委員報告那時候我們台灣用這樣的穩定的措施是
transcript.whisperx[228].start 6919.421
transcript.whisperx[228].end 6927.869
transcript.whisperx[228].text 是我個人評估最有效是最強的是最好各個國家的物價都漲得很厲害但是我們台灣那個時候那個時候的那個漲價的那個我們算是溫和的有的時候那個時候美國跟歐洲他的物價都漲到10幾%但是我們最高才3點幾%而已
transcript.whisperx[229].start 6945.785
transcript.whisperx[229].end 6952.349
transcript.whisperx[229].text 可是看起來顯然這一次的戰爭會打多久我們看起來就講不定那如果我們一樣又是用補貼又是用這個減增貨物稅又是用調價可是我今天告訴你的就是說我今天我的蛋回物價的一個波動不是跟酒油一樣 酒油是馬上去的
transcript.whisperx[230].start 6972.601
transcript.whisperx[230].end 6986.768
transcript.whisperx[230].text 所以平穩物價的一個措施不是現在才開始那怎麼辦呢你要告訴我就是說這個可能這個淡回的一個那個波動他可能是半年後
transcript.whisperx[231].start 6987.708
transcript.whisperx[231].end 7003.827
transcript.whisperx[231].text 是,不過委員我也很誠實的告訴你跟您報告啦,事實上我總覺得這個是農業部必須要來處理這個事情說實在的,我在這方面,農業方面我不是專家
transcript.whisperx[232].start 7004.528
transcript.whisperx[232].end 7019.494
transcript.whisperx[232].text 所以呢我也沒辦法來跟委員報告就是說這個蛋肥這個上漲了以後呢我們怎麼樣來處理啊讓你的後面的這個後面後面的這個物價可是央行不是要對於全面的中東戰爭受到的一個物價的影響也必須要是全換位的嗎我們所謂的全面的是
transcript.whisperx[233].start 7025.802
transcript.whisperx[233].end 7048.237
transcript.whisperx[233].text 就總體的物價來看的我們不是對每一項每一項每一項來看的如果說每一項每一項都來看的話那中央銀行的這個物價我們的利息要來上升調整的時候我們就沒有依準以你的經驗你一定會告訴我說這個我也不知道你認為這個中東的一個戰事會打多久
transcript.whisperx[234].start 7049.643
transcript.whisperx[234].end 7068.278
transcript.whisperx[234].text 然後從數一四那個經驗裡頭就是過去我們長榮有一台船卡在這個數一四運河結果這個船隻卡住了結果物流延誤了一段很長的時間那它也造成了這個也是在後面
transcript.whisperx[235].start 7069.239
transcript.whisperx[235].end 7092.794
transcript.whisperx[235].text 那也在半年以後才造成這個供應鏈的斷面然後全球的通膨那現在一樣就是荷姆茲海峽他把它鎖定了然後就說你不准走那不准走的時候油價就是上漲了況且好再請教一下總裁你現在認為一桶原油到未來不要說很空的一百億你覺得一桶的多少錢
transcript.whisperx[236].start 7095.646
transcript.whisperx[236].end 7118.213
transcript.whisperx[236].text 你說什麼我說你的原油價錢一桶會多少錢一個禮拜以後你不要回答我說你的戰爭戰爭會那個打多久這個你不知道我不是一個預測專家所以我就說你不是一個預測專家可是起碼你要有這種能量你也可以算命這個就考倒我了
transcript.whisperx[237].start 7123.915
transcript.whisperx[237].end 7124.916
transcript.whisperx[237].text 我們只能就說情境的分析啦我們只能就說我從58.3塊錢那時候當時我們就說一年這一年58.3塊錢
transcript.whisperx[238].start 7146.131
transcript.whisperx[238].end 7148.294
transcript.whisperx[238].text 現在一個禮拜以後我的鹽油一桶會多少錢你的情境中我們是說這一年我們是85塊啊
transcript.whisperx[239].start 7163.113
transcript.whisperx[239].end 7176.76
transcript.whisperx[239].text 從58.3%增加到85%那我們的85%不是說某一個時點的85%是全年的平均那近期呢近期的話大概我如果說我們現在來看的話近期應該是90到110
transcript.whisperx[240].start 7180.402
transcript.whisperx[240].end 7197.993
transcript.whisperx[240].text 近期是90到110你的近期會是一個禮拜還是兩個禮拜我再想到3月底到4月中以前3月底到4月中我在3月底到4月中90應該不會那麼低應該是至少95到115左右
transcript.whisperx[241].start 7205.458
transcript.whisperx[241].end 7209.483
transcript.whisperx[241].text 95到115這個短時間是可以這樣但是長期的話我覺得長期是應該不會那麼長因為應該不會那麼高因為如果說它在短暫之間在比較短的時間結束的話後面那邊油價應該是會下來的
transcript.whisperx[242].start 7224.209
transcript.whisperx[242].end 7249.307
transcript.whisperx[242].text 好 那我想從你的報告裡頭你還是特別在提到了你在安撫大家這個疫情就是會通膨那你告訴大家說其實你的疫情通膨是溫和的因為政府採取了很多的評價那個平穩那個物價的一個措施不管是補稅還是那個就是調降還是補貼
transcript.whisperx[243].start 7252.049
transcript.whisperx[243].end 7266.521
transcript.whisperx[243].text 總裁已經這麼久了我們老是用這幾招有沒有想到你那個國安基金是來平價股市那有沒有辦法就是用一個主權基金來那個穩定你的物價呢
transcript.whisperx[244].start 7269.924
transcript.whisperx[244].end 7291.683
transcript.whisperx[244].text 一個基金一個基金它有它特定的目的那你的特定的目的你一個基金它要提供那麼多的目的的話就是說要扮演那麼多的功能的話不大事物價穩定基金我們現在面對的未來最多的地緣政治風險
transcript.whisperx[245].start 7294.865
transcript.whisperx[245].end 7320.54
transcript.whisperx[245].text 其實我們是應該要提早準備的我們是應該要提早準備的你的看法是怎麼樣委員這個概念我覺得好像也很合理啦譬如說你剛剛講到國安基金國安基金就是穩定股市嘛那以前你提了這個概念事實上以前我們都有物價穩定基金
transcript.whisperx[246].start 7321.6
transcript.whisperx[246].end 7337.553
transcript.whisperx[246].text 平穩基金它叫做平穩基金那這個地緣政治的一個風險是我們必須要去面對的是那個平穩基金但是這個平穩基金我覺得這個概念是以前我們也有討論看看啦研究看看啦不要講說這個跟你沒有關係這個絕對跟你有關係你是總裁耶進來的都是叫董事長而已謝謝賴委員
transcript.whisperx[247].start 7349.682
transcript.whisperx[247].end 7368.286
transcript.whisperx[247].text 下一位諮詢委員請李坤成委員諮詢謝謝主席我們請楊總裁請莊議員楊總裁總裁慢慢來沒關係先喝口水再上來沒關係李委員早
transcript.whisperx[248].start 7374.247
transcript.whisperx[248].end 7391.936
transcript.whisperx[248].text 總台長辛苦了謝謝你早上我也聽到很多委員都很關心第一個就是我們的經濟成長率第一個就是我們CPI那我先問這個經濟成長率好了那央行是預測經濟成長率今年有7.28%的成長率那其實都是高過外國的機構的預測他們預測大概6.4%左右
transcript.whisperx[249].start 7401.92
transcript.whisperx[249].end 7424.126
transcript.whisperx[249].text 總裁是對於台灣的產業是非常有信心包含AI的產業我們這些應用科技持續的有出口但是其實黑天鵝也蠻多的像關稅的影響或是說中東戰事的影響中東戰事也不知道何時才能確定結束當然川普是希望說四月中旬之前能夠結束但是現在油價也還在漲
transcript.whisperx[250].start 7426.647
transcript.whisperx[250].end 7452.761
transcript.whisperx[250].text 這個大概就像總裁剛才講的嘛短期間大概就是90到110這個區間那難道這些不會影響到說這個總裁對於我們全年度的經濟成長率的評估嗎會我跟委員報告所以就是說事實上呢我們我就一直在強調中央銀行的一個禮監事會我們是3月6月9月12月嘛正常的事
transcript.whisperx[251].start 7453.021
transcript.whisperx[251].end 7463.162
transcript.whisperx[251].text 這是三月的評估就對了這是三月的評估那我們在六月呢我們會再次的評估為什麼這中間呢一定是要發生很多的事情
transcript.whisperx[252].start 7463.84
transcript.whisperx[252].end 7467.423
transcript.whisperx[252].text 其實還是中東戰事影響最大所以我們就是說它持續的時間它的強度還有就是說它涵蓋的範圍這個都是我們密切注意的因為你們這個預測是說當時的油價是每桶85美元是是是 現在是全年
transcript.whisperx[253].start 7485.217
transcript.whisperx[253].end 7509.652
transcript.whisperx[253].text 現在就是說看起來油價大概85這個價格有點低估了啦不一定喔現在我跟委員報告現在大部分的國際的機構大概也都是用全年全年全年85塊來做一個情境的分析當然他也有用70用80用100他也有
transcript.whisperx[254].start 7512.694
transcript.whisperx[254].end 7539.531
transcript.whisperx[254].text 但是呢普遍大部分都是用85那所以總裁是對於這個7.287%以上的經濟成長率有信心就對了以目前來講的話因為我們在強調的就是說美國的四大CSP就是國際雲端服務供應商去年我們的出口很好就是跟美國的科技業是連在一起的
transcript.whisperx[255].start 7540.331
transcript.whisperx[255].end 7558.928
transcript.whisperx[255].text 這些的科技業它的投資如果說很好的時候我們來出口就很好所以總裁認為是台灣的基本面沒問題我基本上以目前來講的話我們的基本面還是穩健的所以消息面短暫會受到影響長期拉到比較久的時間就今年來講
transcript.whisperx[256].start 7564.433
transcript.whisperx[256].end 7587.43
transcript.whisperx[256].text 7%以上的經濟成長率還是有信心就對了到目前為止我們還是做這樣的一個預測那一個是經濟成長率一個就是CPI那CPI我看總裁的這個報告還是說維持溫和的1.8%也跟國外的這個評價起來稍微低了一點我們高一點我們有高一點嗎我們高一點那不是有到2點多的嗎他們是反而是比較他們是1.76我們1.8
transcript.whisperx[257].start 7590.352
transcript.whisperx[257].end 7609.187
transcript.whisperx[257].text 也有機構平衡到2.2%因為每一個機構是不太一樣的我們就說這些著名的機構平均起來它是1.7%同樣的啦就是說油價在漲那當然我們現在油有讓它動漲或是說稍微吸收第二個就是電價也希望能夠維持這個動漲
transcript.whisperx[258].start 7611.949
transcript.whisperx[258].end 7638.966
transcript.whisperx[258].text 這個油電的雙轉機制現在我們稍微把它稍微減緩了一下那可是呢這個會不會影響到說這個實質壽星階級的這個實質的薪資還是會受到影響勒是 會啦會啦還是會應該也會不過以目前1.8來講的話我認為他們還是可以吸收的啦還是可以吸收還是可以吸收的啦好
transcript.whisperx[259].start 7639.448
transcript.whisperx[259].end 7663.489
transcript.whisperx[259].text 那現在有關房價的部分嘛然後這個房價這個房市信用管制部分這個央行現在把這個自然第二戶的購屋的貸款成數呢從五成放寬到六成那大家有在有在有在想就是說因為你們的報告也提出來就是說這個可能是會因為現在有這個大量新建住宅提出所以呢這個要持續呢
transcript.whisperx[260].start 7664.735
transcript.whisperx[260].end 7689.312
transcript.whisperx[260].text 這個有這個推升代售新成物的壓力所以適度調整把五成呢提高到六成有助於消化代售的新成物是不是大概是這個用意就希望說房市能夠軟著陸是啦當然是說希望他軟著陸啦不過呢就是說剛剛講的這個預售屋的這個問題只是其中一點而已啦最主要的我總覺得應該是最重要的就是說要呼應民間對第二戶的需求啦
transcript.whisperx[261].start 7693.655
transcript.whisperx[261].end 7719.737
transcript.whisperx[261].text 因為我們在報告裡面我們有談啦就是說第二戶的需求其實一直都有可是你們之前沒有放寬但是我們第二戶呢都是要必須要就是說我們是把它認為就是說如果說你是自住的自住的因為如果說我第一戶我給我的兒女我的太太或是我的父母但是我第二戶我是要我自己的
transcript.whisperx[262].start 7720.097
transcript.whisperx[262].end 7741.287
transcript.whisperx[262].text 那你先就是說因為你從五成放寬到六成嘛對啊所以就是說呼應他們的需求啦真正的用意在哪裡這也就呼應他們的需求啊第二個呢就是說我們的信用管制也有一定的成效了啦也不能就是硬邦邦的在那邊啦這也是啦
transcript.whisperx[263].start 7741.787
transcript.whisperx[263].end 7751.292
transcript.whisperx[263].text 那所以這個要預防或是說要讓希望讓這個房市軟著陸除了這個信用管制稍微放鬆之外還有其他的方式嗎
transcript.whisperx[264].start 7753.828
transcript.whisperx[264].end 7775.077
transcript.whisperx[264].text 我想當然也許我們的產業也會因為我那個時候我也是覺得就是說要供體時間軟著陸的意思就是說你有些時候在價格上也應該要做一些給一般大眾的一個讓利
transcript.whisperx[265].start 7780.879
transcript.whisperx[265].end 7785.742
transcript.whisperx[265].text 那總裁你所謂的那個讓利是指什麼是指價格希望能夠再往下應該就是說他可以在他的允許維持在一定的利潤的情況之下可以讓這個那總裁認為說讓多少是合理的讓利
transcript.whisperx[266].start 7810.879
transcript.whisperx[266].end 7811.082
transcript.whisperx[266].text 哈哈哈哈
transcript.whisperx[267].start 7812.411
transcript.whisperx[267].end 7833.286
transcript.whisperx[267].text 我也一直在想因為說實在的我對因為每一個廠商每一個廠商他的獲利是多少我都不曉得我們也沒辦法去知道啦只有建商他知道啦那這個呢就是要他自己評估啦那你如果評估的話假如說假如說他的我就說對總長你對於這些這些每個我們說產業好了啦這個產業不要講說建商就這個產業來講
transcript.whisperx[268].start 7841.392
transcript.whisperx[268].end 7861.549
transcript.whisperx[268].text 那總裁認為說大概是讓利多少是一個也可以讓房市能夠軟縮利不過我跟委員報告啦說實在的啦在前幾年的時候他們我個人也許我講了他們不高興啦就是說事實上他們在前幾年他們賺的很多啦
transcript.whisperx[269].start 7862.269
transcript.whisperx[269].end 7879.45
transcript.whisperx[269].text 賺的比較多那現在呢就是說慢慢的釋放出一些的話我總覺得在允許的範圍之內我覺得也可以讓所以總裁認為說稍微讓利其實是可以達到雙贏就對了讓利如果說讓利這個是供需嘛一樣的嘛這是供需啊
transcript.whisperx[270].start 7880.011
transcript.whisperx[270].end 7884.913
transcript.whisperx[270].text 你的價格如果說能夠下降需求者覺得就是說這個是他符合他的需求的話那他當然他就會買啊你如果說硬梆梆的在那邊的時候價格抬那麼高的話那當然需求者他就不會進去啊那那個量就不會出來啊
transcript.whisperx[271].start 7898.66
transcript.whisperx[271].end 7920.605
transcript.whisperx[271].text 最後我再問總裁就是說總統他有指示希望擴大自主都更這個政策然後卓議員長也希望說自主都更的時候要讓地主不要付大的成本來重建那因為現在影安法的第72條之二已經排除了都更危老的適用
transcript.whisperx[272].start 7921.605
transcript.whisperx[272].end 7939.693
transcript.whisperx[272].text 但是呢你們還有一個對於各個銀行這個有這個不動產貸款集中度的自主管理那因為這一條會變成說讓這個自主都跟業者他們去申請貸款的時候其實是受到一些限制啦那其實過去這個內政部也有一個
transcript.whisperx[273].start 7941.314
transcript.whisperx[273].end 7955.569
transcript.whisperx[273].text 也有跟央行有開過會嘛那也希望說是不是能夠放寬這個自主都更裡面那這個不要把這個自主都更的這個借貸的部分呢納入不動產這個貸款集中度裡面
transcript.whisperx[274].start 7957.19
transcript.whisperx[274].end 7984.366
transcript.whisperx[274].text 這個謝局長好像也有來開過會嗎我跟委員報告說實在的啦事實上在我們選擇性信用管制的時候呢自主都更的這個部分都是我們排除的對象我們第一個排除在營養法是有我說排除在你的不公產集中管理啦那集中管理那我跟委員報告事實上我們集中管理對於那些就是說不必要你銀行不必要給他信用的
transcript.whisperx[275].start 7985.147
transcript.whisperx[275].end 7986.573
transcript.whisperx[275].text 我們做這樣的 反而對這個
transcript.whisperx[276].start 7988.807
transcript.whisperx[276].end 8006.181
transcript.whisperx[276].text 自住的都更的反而是有利所以我跟委員報告事實上從2021年他的本國銀行都更這個我們報告裡面都有我知道可是你這我現在是特別指說自主都更的部分沒有自主性都更跟這個都是包含在這裡面事實上你在講這個的時候我也跟委員報告事實上我們也跟有內政部開過會
transcript.whisperx[277].start 8017.45
transcript.whisperx[277].end 8043.059
transcript.whisperx[277].text 開戈他就說你這個要換刊事實上我們跟他解釋了以後呢他就接受了所以到底現在有沒有納入這個不中產的集中的管理的額度裡面都已經就是說他都接受我們的說法也就是說都更的這個部分我們都把他排除在外了有排除在外就對了他不會影響到他所以他也一直就是說後來他就接受了
transcript.whisperx[278].start 8044.219
transcript.whisperx[278].end 8045.66
transcript.whisperx[278].text 主席麻煩請中央議員楊總裁總裁
transcript.whisperx[279].start 8066.48
transcript.whisperx[279].end 8072.467
transcript.whisperx[279].text 前年度台灣對美國的出超743億元去年度你有跟我說過說你預估是1200億
transcript.whisperx[280].start 8086.789
transcript.whisperx[280].end 8100.573
transcript.whisperx[280].text 那最後大概是一千兩百零幾億嘛沒有 最後到一千五百多億的樣子是喔 有到一千五百多億對 一千五百多億那就幾乎又增加了一倍啦那從這個觀點來看這個國際貿易其實它的原則是講究平衡嘛對台灣東西出鈔那對於台灣賺
transcript.whisperx[281].start 8112.711
transcript.whisperx[281].end 8129.233
transcript.whisperx[281].text 美金這個外匯非常有幫助可是站在美國的立場他一定會覺得說應該盡量平衡那所以從提高一年度就提高到1500億那假設今年度照你的報告
transcript.whisperx[282].start 8131.375
transcript.whisperx[282].end 8158.971
transcript.whisperx[282].text 因為AI的關係你知道我今年度台灣的出口還是會暢旺所以很有可能今年度對美國的出招還會再更高是不是應該應該應該也是差不多啦不會就是說再更高啦不會再更高啦我覺得1500億就已經算是很高那現在再來就是因為這樣子的現象產生的後果要如何承擔呢現在是因為
transcript.whisperx[283].start 8161.815
transcript.whisperx[283].end 8176.334
transcript.whisperx[283].text 這個國際在地緣衝突嘛美國以色列跟伊朗現在在衝突那另外烏克蘭跟俄羅斯侵略烏克蘭也還沒有結束所以現在很多資金是進入美元去避險
transcript.whisperx[284].start 8178.149
transcript.whisperx[284].end 8190.255
transcript.whisperx[284].text 使得美元最近在國際間超強勢不然來講如果從國際貿易角度來看台灣對美國這麼多的粗糙台灣台幣對美金在國際貿易理論上應該是要貶值的
transcript.whisperx[285].start 8192.267
transcript.whisperx[285].end 8210.208
transcript.whisperx[285].text 是不是啦 理論上應該是要貶值但是因為現在地緣衝突所以升值嘛對啊 那在這樣子的狀況之下將來台幣要如何避免要升值呢在地緣衝突結束了之後那台灣對美金那麼多的粗糙
transcript.whisperx[286].start 8212.17
transcript.whisperx[286].end 8237.564
transcript.whisperx[286].text 我擔心台幣會快速升值欸我跟委員報告啦就是說市場都認為市場都認為就是說我們對美國的粗糙那麼多按照道理呢就是說我們的台幣要升值對啊他認為就是說我們台幣要升值不過我也跟委員報告那為什麼國際的貨幣最近在中東戰爭之後
transcript.whisperx[287].start 8239.565
transcript.whisperx[287].end 8253.765
transcript.whisperx[287].text 每個貨幣都對美元貶值就大家避險跑到美國去 大家認為美元可以保值但是啊 因為避險 我用我們台灣的例子來看來跟委員報告就是說
transcript.whisperx[288].start 8255.604
transcript.whisperx[288].end 8272.903
transcript.whisperx[288].text 如果說戰事一發生了以後美元在國際上它是搶的新台幣也貶值那新台幣為什麼會貶值新台幣貶值是因為外資在我們台灣的股市它抽出去了
transcript.whisperx[289].start 8273.868
transcript.whisperx[289].end 8291.778
transcript.whisperx[289].text 他跑出去了那為什麼他抽出去抽出去他有吃虧嗎他沒有吃虧因為外資在我們台灣的股市呢他賺很多所以這個就是一個概念我必須要跟委員報告就是說我們的
transcript.whisperx[290].start 8293.739
transcript.whisperx[290].end 8306.029
transcript.whisperx[290].text 經常帳或是我們的貿易帳即使是對他粗糙很多的話按照道理我們是應該要升值的但是他在我們的股市賺很多錢
transcript.whisperx[291].start 8307.597
transcript.whisperx[291].end 8335.049
transcript.whisperx[291].text 所以那就是貿易帳的平衡了那個是對嘛也就是說你的經常帳你的貿易帳我賺你的錢但是他在我們的股市賺我們的錢啊是那在這個他跟我們賺我們的錢的時候呢這個外界都一直沒有考量到這一點他們都一直認為就是說我們賺多了錢所以新台幣一定要升值但是呢他都沒有考慮到他在我們的股市賺很多錢站在
transcript.whisperx[292].start 8337.47
transcript.whisperx[292].end 8360.006
transcript.whisperx[292].text 這個是從國際貿易的理論上面來看那他從我們的股市賺了很多錢現在是因為國際地緣衝突所以大賣東亞的各國的股市把資金抽回美國他獲利了結嘛對但是獲利了結另外一個角度來講台灣的股票市場是一個健全的市場的話他將來還是會再大幅的回來沒有錯
transcript.whisperx[293].start 8360.606
transcript.whisperx[293].end 8385.382
transcript.whisperx[293].text 他還是要倒可能回來 因為他要繼續賺更多那所以這個資金美金因為股市交易或是其他的交易來往往的這個資金是一時的現在走如果衝突穩定假設真的是四月五月結束他有可能六七八月的時候資金又過來台灣那時候台幣是不是就會大幅升值對啊 就有可能啊
transcript.whisperx[294].start 8386.162
transcript.whisperx[294].end 8404.144
transcript.whisperx[294].text 所以就是說我跟委員報告基本上事實上台灣的一個外匯市場是由資金的移動來主導的而不是由出口的多寡來主導你講的這個我接受但是你如果長年的這樣子的累積
transcript.whisperx[295].start 8405.145
transcript.whisperx[295].end 8430.461
transcript.whisperx[295].text 每一年用這個速度在累積對美的粗糙這個壓力還是一定都在的所以這個就是說我們在溝通的過程當中我們也要告訴他我跟你的粗糙不是因為我壓低我的匯率不是因為我們不公平的貿易的手段而是你真正需要我的產品
transcript.whisperx[296].start 8431.401
transcript.whisperx[296].end 8433.543
transcript.whisperx[296].text 另外一點我們台灣的努力譬如說現在要跟阿拉斯加購買天然氣將來有可能購買石油等等
transcript.whisperx[297].start 8446.055
transcript.whisperx[297].end 8467.888
transcript.whisperx[297].text 那在對美國對大宗物資的採購另外一方面說有一些台灣的企業去美國投資等等這些的作為稍微做一點平衡政府的作為嘛是是是我也非常贊同那個委員的這種看法這個貿易這個商品帳還是要互惠啦
transcript.whisperx[298].start 8468.548
transcript.whisperx[298].end 8476.812
transcript.whisperx[298].text 也就是說你多買我的東西那我也要多買你的東西要付費貿易就是這樣子我非常贊同這幾年美國對我們是不是這個
transcript.whisperx[299].start 8482.711
transcript.whisperx[299].end 8504.45
transcript.whisperx[299].text 外匯管制的作為這些事情把我們列為觀察國家因為我們一直有在跟他做很好的溝通所以他不會把我們列入操縱國但是還是長期把我們列為觀察國所以要拜託總裁還是要繼續努力跟美國溝通因為如果被列入操縱國那就不得了了
transcript.whisperx[300].start 8506.611
transcript.whisperx[300].end 8527.244
transcript.whisperx[300].text 我想我也趁這個機會跟委員報告就是說事實上我們長久以來我們跟美國財政部的一個溝通都是非常順暢的他也理解我們的說法現在在全球戰略美國把台灣列為他的準盟有關係整個東亞建構整個
transcript.whisperx[301].start 8530.005
transcript.whisperx[301].end 8551.691
transcript.whisperx[301].text 戰隊的關係 台灣是跟他站在同一隊所以他對我們當然也會有比較客氣一點啦好 那最後在剩下兩分鐘我問一個問題啊剛剛有委員提到 我覺得那個也有點道理啦有一個名詞叫地方創生 你知道嗎這個從日本過來的他就因為在地方本來他們人口很多後來一直外流 因為全球都都市化嘛
transcript.whisperx[302].start 8552.191
transcript.whisperx[302].end 8569.529
transcript.whisperx[302].text 所以有一些鄉村或是比較淡白區的人口都外流到這個大都會那使得他地方人口一直減少地方的經濟各樣的特色都一直衰減所以希望人口回流然後希望地方的產業能夠發達把地方再重新
transcript.whisperx[303].start 8570.45
transcript.whisperx[303].end 8591.953
transcript.whisperx[303].text 繁榮恢復起來一部分這個叫地方創生日本是這樣的概念剛剛其實也有委員提到你選擇信息用管制如果是全國一致信的時候那大都會跟剛剛講到那個蛋白區管制是一樣的那這個對於地方創生這個觀念來講是不利的因為
transcript.whisperx[304].start 8592.654
transcript.whisperx[304].end 8607.547
transcript.whisperx[304].text 都會化這是這一百多年來全球的趨勢那如何讓原來的地方的特色能夠維持原來人口跟這個經濟區域的經濟能夠繁榮其實它有的時候反而需要鼓勵啦
transcript.whisperx[305].start 8608.448
transcript.whisperx[305].end 8626.419
transcript.whisperx[305].text 所以剛剛有委員提到說那是不是要來考慮差別的對待在已經很都會很淡白很淡黃區的房價很高漲地區的管制跟如果今天一個年輕人我願意返鄉勿農我願意回到我的鄉下我願意在這個地方買房子
transcript.whisperx[306].start 8627.299
transcript.whisperx[306].end 8645.76
transcript.whisperx[306].text 你如果貸款的層數全部都是一樣的那對於地方創生是最不利的事情我覺得委員講的沒有錯不過我也稍微借幾秒鐘跟委員報告當時我們的管制就只有那幾區在大都會那為什麼會變成全國
transcript.whisperx[307].start 8648.883
transcript.whisperx[307].end 8652.606
transcript.whisperx[307].text 因為那個時候草房已經是從都會一直炒到全國都會在發燒的時候它傳染到其他的非都會區整個都在發燒的時候當然我們就會把它就整個來控管委員現在講的沒有錯如果到達某一個程度的時候我們必須要把它reverse回來對 那種我也是要跟你
transcript.whisperx[308].start 8678.184
transcript.whisperx[308].end 8705.593
transcript.whisperx[308].text 為什麼我會提這個問題呢因為本席的故鄉是台東台東那個地方你說要多少房地產產作當初的渲染可能有啦現在的這個機會已經不大了那如果有年輕人願意返鄉那願意希望能夠在台東買一個房子來住我覺得那個管制不應該跟這個大多數地方是一樣的我覺得我非常贊同那是不是請您考慮看看將來如何調整這個政策好 謝謝
transcript.whisperx[309].start 8709.757
transcript.whisperx[309].end 8713.324
transcript.whisperx[309].text 好謝謝秉瑞召委那主席在這邊宣布休息五分鐘
transcript.whisperx[310].start 9037.301
transcript.whisperx[310].end 9040.964
transcript.whisperx[310].text 好我們現在開始開會請下一位資訊委員林思明委員好謝謝主席請我們央行楊總裁麻煩請中央央行楊總裁
transcript.whisperx[311].start 9066.677
transcript.whisperx[311].end 9066.859
transcript.whisperx[311].text 總台找
transcript.whisperx[312].start 9068.647
transcript.whisperx[312].end 9078.835
transcript.whisperx[312].text 林委員早總裁我想我國的經濟成長率是去年是高達8.63%創下15年的新高紀錄對主計總署在2月份上修今年的經濟成長率預測大概7.71%對我們央行也同步上修預測值為7.28%對利率也連發動對
transcript.whisperx[313].start 9096.889
transcript.whisperx[313].end 9116.48
transcript.whisperx[313].text 所以請問這個總裁啊隨著現在中東戰爭的爆發看起來短期內不會結束喔是那油價持續上漲那物價連著也被帶動一直上漲喔全球停滯性的通膨恐怕會來臨啊總裁你認為經濟成長率還有您現在預估的這麼樂觀嗎
transcript.whisperx[314].start 9122.243
transcript.whisperx[314].end 9139.149
transcript.whisperx[314].text 我跟委員報告事實上我一直認為以目前來講的話我們的經濟應該來講都是很穩健的目前還是很穩健目前還是穩健的你看看我們1月2月當然1月2月那是戰事以前的
transcript.whisperx[315].start 9141.15
transcript.whisperx[315].end 9156.659
transcript.whisperx[315].text 那要戰事以後啦那我們就是必須要觀察它就是說觀察我們的3月我們的4月5月6月那我們3月我們做這樣的預測的時候是在3月的時候也就是說它戰爭剛好就是只有一半的時候
transcript.whisperx[316].start 9157.519
transcript.whisperx[316].end 9173.393
transcript.whisperx[316].text 所以在很短的時間呢我們的scenario呢我們是說那個油價呢大概在全年從58.3%上漲你剛提到你大概是從3月3月中3月看的嘛 推出出來的嘛但是面對現在的情勢
transcript.whisperx[317].start 9181.88
transcript.whisperx[317].end 9198.825
transcript.whisperx[317].text 因為我看今天的不管是媒體都大幅報導暫時會繼續升溫會帶動油價的上漲我們看股市 今天的股市今天也在下跌今天下跌了700多點所以你原來預測未來的經濟的成長動能會持續強勁向上
transcript.whisperx[318].start 9209.512
transcript.whisperx[318].end 9225.728
transcript.whisperx[318].text 民間的消費能力與熱錢也會增加但是目前中東暫時進入第五週情勢繼續升溫大幅的推升全球的這個這個油市航運業
transcript.whisperx[319].start 9226.969
transcript.whisperx[319].end 9243.487
transcript.whisperx[319].text 及供應鏈陷入不確定性尤其是我們的加工產業鍛煉加劇這個氦氣肥料化學品的起漲低價石油已成過去世全球面臨停滯性的通膨風暴
transcript.whisperx[320].start 9244.948
transcript.whisperx[320].end 9263.075
transcript.whisperx[320].text 經濟學者與金融機構高度擔憂啊油市供應遭遇的兩大壓力啊會遭遇兩大壓力啊就是那個荷姆治海峽被封鎖所以經濟的加速成長是無望的目前的局勢的演變是這樣所以央行
transcript.whisperx[321].start 9264.736
transcript.whisperx[321].end 9285.149
transcript.whisperx[321].text 您怎麼能夠這個到目前為止還該總裁我聽你講好像你還是講很樂觀我們也不是說很樂觀我們是審慎樂觀但是呢 我想我們也不會就是說我們的這個情境的分析就一直停留在這個 85塊
transcript.whisperx[322].start 9287.45
transcript.whisperx[322].end 9307.442
transcript.whisperx[322].text 那如果說就像委員現在戰爭好像也不是說很短時間就會結束啦而且油價可能會上升所以這個都是在我們關注的主題當中是啦 那個總來說你應該提到嘛一定要審慎的去因應是是是沒有錯沒有錯 看起來就是持續在升溫短期沒有那麼快結束嘛對對對
transcript.whisperx[323].start 9315.166
transcript.whisperx[323].end 9339.586
transcript.whisperx[323].text 我們看到伊朗對於中東能源基礎設施的攻擊使得波斯灣石油、天然氣以及其他重要的原物料出口受阻荷莫斯海峽是全球能源運輸的關鍵通道所以它現在被封閉起來不僅推高能源價格也提高企業生產的成本抑制消費需求尤其是非必要支出
transcript.whisperx[324].start 9340.747
transcript.whisperx[324].end 9367.734
transcript.whisperx[324].text 進而拖累了經濟的成長甚至可能引發衰退同時同盟的壓力升溫使得各國央行被迫放棄降息計畫甚至轉向升息加劇經濟壓力蘇總裁請教你央行未來是否也會適度的跟各國的央行一樣因應中東的戰事去採取升息的措施
transcript.whisperx[325].start 9370.617
transcript.whisperx[325].end 9384.602
transcript.whisperx[325].text 我在我們的記者會裡就是說李監事會完之後的記者會裡面我也有同樣的就是說中央銀行目前的態度是比較朝向緊縮的一個態度緊縮對緊縮的態度還是繼續動展
transcript.whisperx[326].start 9387.843
transcript.whisperx[326].end 9391.008
transcript.whisperx[326].text 那繼續緊縮所以要傾向了但是採取緊縮的一個政策這個現在還不是時候是
transcript.whisperx[327].start 9403.384
transcript.whisperx[327].end 9427.232
transcript.whisperx[327].text 目前這個情勢那麼緊張啊通膨的壓力一直來所以也就是說我們focus的是1.8%1.8%應該還是在我們融整的範圍之內總裁我接下來跟你討論通膨風險值的問題物價穩定向來是我們各國央行尤其我們中央雲南也是最重要的核心目標
transcript.whisperx[328].start 9428.952
transcript.whisperx[328].end 9442.589
transcript.whisperx[328].text 在中東歧視的升溫下全球經濟不確定性持續升高預測短期的通膨風險掌握驅動物價變動的關鍵因素已成為我們貨幣政策的重要課題
transcript.whisperx[329].start 9444.071
transcript.whisperx[329].end 9470.72
transcript.whisperx[329].text 因此本席看到央行最新的研究指出未來可建構通膨風險值作為輔助工具從整體的分布角度分析未來通膨可能的區間與發生的機率有助提升貨幣政策判斷的精準度與簡單性所以請問這個總裁通膨呈現高度不確定甚至具有跳躍式的上升風險
transcript.whisperx[330].start 9472.261
transcript.whisperx[330].end 9476.572
transcript.whisperx[330].text 這個時候還能用平均數來決策嗎會不會有落後現實的情況
transcript.whisperx[331].start 9478.099
transcript.whisperx[331].end 9505.667
transcript.whisperx[331].text 我跟委員報告事實上您說的也沒有錯因為現在現在大部分現在大部分都是用那個什麼都是用一個平均數就是都是用一個不是說基本就像說我們58.3把它提升到85那如果說把這個概念放進去的時候呢這個就是一個機率的分配的一個問題
transcript.whisperx[332].start 9506.967
transcript.whisperx[332].end 9532.67
transcript.whisperx[332].text 那也就是說最差的一個scenario可能是100那最佳的一個optimistic的scenario是什麼是70那這樣的話它就有一個range就是說在這一段期間可能它的通膨可能就會在這個range裡面那它所發生的機率大概是多少
transcript.whisperx[333].start 9533.712
transcript.whisperx[333].end 9538.459
transcript.whisperx[333].text 他是把機率這個是比較科學啦比較統計統計的方法那這個是比較那這個呢我們都是正在你現在研究還在研究中嘛那是否有已經有具體的數據啊
transcript.whisperx[334].start 9548.493
transcript.whisperx[334].end 9577.078
transcript.whisperx[334].text 因為我們說我們在最壞的環境下通膨可能是多少機率的分佈是怎樣是是是有沒有這樣的數據我們只能說我們只能說這個還在研究階段也有100的那個的scenario但是呢它的probability是到底多少因為probability啊這個可能有一部分那個總裁我是要問你啦你現在已經在走手研究了對但是你現在的研究是已經
transcript.whisperx[335].start 9578.498
transcript.whisperx[335].end 9596.509
transcript.whisperx[335].text 已經完備沒有 我們準備把它納入我們未來的決策的階段都還沒有啦 只是一個在內的行程而已啦我想過去幾年我們全球發生最大的錯誤就是低估極端通膨的發生機率啦疫情後的通膨爆衝 到現在戰爭與能源的衝擊
transcript.whisperx[336].start 9599.731
transcript.whisperx[336].end 9620.269
transcript.whisperx[336].text 都是典型的尾端風險成真所以目前央行的政策模型中是否有納入比如說油價暴漲的情境比如說煤桶現在可能會漲破超過150美元區域戰爭擴大全球供應鏈可能會再度中斷
transcript.whisperx[337].start 9621.73
transcript.whisperx[337].end 9643.799
transcript.whisperx[337].text 所以我們的政策模型中有沒有納入這樣的一些情境的分析啊我想喔 委員我們也會有這樣的一個在概念上我們的我們Focus裡面也有這樣的一個概念啦但是呢我們不便在這邊講說如果說到200塊的時候250塊的時候呢它會怎麼樣怎麼樣怎麼樣
transcript.whisperx[338].start 9650.161
transcript.whisperx[338].end 9661.014
transcript.whisperx[338].text 我覺得這個不適合在這種沒有就是說你用這種沒有發生 你是不用講出來的但是你這個模型中會納入這種情境分析吧應該會納入吧但是我們不會就說就把它公開出來的因為那個不成熟最後一題我再請教你
transcript.whisperx[339].start 9669.984
transcript.whisperx[339].end 9692.411
transcript.whisperx[339].text 我關美國政府近期又再啟動新一輪的301條款的調查我國也被列入為調查國家之一行政院表示台美已簽署台美對登貿易協定就是ART不會受這樣調查的影響總裁我想請問你這次被列入調查名單對於未來我們台幣匯率的走向可能會有怎樣的影響
transcript.whisperx[340].start 9693.471
transcript.whisperx[340].end 9707.505
transcript.whisperx[340].text 匯率操縱也是美國的調查終點這次我國再次被列入是否表示對美國而言仍然認為我們可能有事在操縱匯率不會啦我跟委員報告絕對不會所以也不會影響我們台美對待貿易的協定也不會影響
transcript.whisperx[341].start 9715.733
transcript.whisperx[341].end 9739.575
transcript.whisperx[341].text 就是他即便我們被進入這個沒有就匯率的這個部分呢這個匯率的部分是我們跟財政部而且匯率的這個部分不是商務部的所管轄的範圍而是財政部管轄的範圍我們是跟財政部一個溝通我也跟委員報告我們歷年以來
transcript.whisperx[342].start 9740.376
transcript.whisperx[342].end 9749.499
transcript.whisperx[342].text 跟美國財政部的溝通都非常的順利謝謝林委員下一位質詢委員請閻寬恆委員質詢謝謝主席主席有請我們央行楊總裁請央行楊總裁
transcript.whisperx[343].start 9775.989
transcript.whisperx[343].end 9793.3
transcript.whisperx[343].text 首先先跟你探討利率的問題中東戰爭打到現在已經快一個月了但是依舊沒有緩和的趨勢國際油價一度飆漲甚至於創了四年來的新高同時也帶動了食品跟糧食價格的飆漲
transcript.whisperx[344].start 9794.561
transcript.whisperx[344].end 9821.568
transcript.whisperx[344].text 所以引發了市場擔憂那除了擔心中東戰勢升溫那也怕會出現通膨升高經濟成長減緩的停滯性通膨的問題那雖然目前全球央行就是美國加拿大日本英格蘭歐洲等他們接續做出維持利率不變的決定但同時對未來通膨升溫也提出警告
transcript.whisperx[345].start 9822.228
transcript.whisperx[345].end 9839.99
transcript.whisperx[345].text 那你們有建構一個通膨風險值作為觀察通膨的一個補充指標那將有助於央行依照這個預測結果那請教一下目前預測的結果是怎麼樣 可不可以說明一下
transcript.whisperx[346].start 9841.738
transcript.whisperx[346].end 9857.185
transcript.whisperx[346].text 現在還是在研究當中不過這個概念我們以前我們都有只是說沒有到目前為止還沒有一個具體化而且全球的中央銀行很少數的國家除了英國 英國我知道
transcript.whisperx[347].start 9857.765
transcript.whisperx[347].end 9861.066
transcript.whisperx[347].text 英國的通膨的scenario的分析就有點類似我們現在所講的IMF的風險值的概念
transcript.whisperx[348].start 9874.373
transcript.whisperx[348].end 9891.931
transcript.whisperx[348].text 不過到目前為止呢我們有以前基本上我們以前就有這個概念只是說我們再深入再探討它只是說到目前為止我們還沒有就是說有做這樣的就像英國的這樣的一個上行的一個range的一個預測到目前為止我們還沒有
transcript.whisperx[349].start 9894.314
transcript.whisperx[349].end 9914.952
transcript.whisperx[349].text 還沒有做完一個完整的報告還沒有不過我也跟委員報告事實上雖然就是說這個也是一個學術探討的一個主題不過我以前我對英國的這種它的一個預測方法我也不會覺得就是說是非常的先進
transcript.whisperx[350].start 9916.448
transcript.whisperx[350].end 9929.094
transcript.whisperx[350].text 我也不會認為它是很先進台灣作為一個小型開放的經濟體是那挑戰跟應對措施需要考核綜合考量多方面的因素是尤其是中東戰爭還有能源飆漲的問題
transcript.whisperx[351].start 9931.815
transcript.whisperx[351].end 9950.579
transcript.whisperx[351].text 那我們是一個高度依賴進口能源的一個開放型的經濟體對 沒有錯那命名的一個嚴峻的挑戰尤其是能源跟海運的成本對那對台灣的經濟成長跟民生造成了絕對的壓力對所以央行在這一塊你要面對這一些挑戰對那
transcript.whisperx[352].start 9953.36
transcript.whisperx[352].end 9976.556
transcript.whisperx[352].text 是否會選擇升息或者是用升息來應對持續的物價壓力我跟委員報告就是說對於台灣目前中東所產生的原物料價格的上漲事實上一方面政府的穩定措施是有效的 我覺得
transcript.whisperx[353].start 9977.276
transcript.whisperx[353].end 9997.797
transcript.whisperx[353].text 另外一方面中央銀行必須要做的第一個我們要阻止防止這個輸入性的通膨的問題的疑慮這是第一個就是說那所謂的要防止這個輸入性通膨的一個壓力的話呢第一個我們的匯率一定要穩定這個是中央銀行這是我們的職責
transcript.whisperx[354].start 9999.238
transcript.whisperx[354].end 10022.17
transcript.whisperx[354].text 輸入型通貨因為油價高你又匯率如果說大幅貶值的話就雪上加霜這是第一個點那第二點呢你剛剛所講的利率的問題利率呢是屬於需求面的一個控管的一個工具在供給面的一個問題上呢用需求面去解決它比較不方便比較不好但是呢
transcript.whisperx[355].start 10022.87
transcript.whisperx[355].end 10040.704
transcript.whisperx[355].text 他在第二輪也就是說在通膨的一個預期在上升的時候呢也就是說通膨的預期在形成的時候呢總理必須要注意除了我們的匯率的政策以外呢我們的利率政策也必須要stand by我們就是要必須要準備在那邊這個就是說為什麼
transcript.whisperx[356].start 10043.706
transcript.whisperx[356].end 10063.314
transcript.whisperx[356].text 全球的中央銀行對這一次的一個中東的戰爭他們的態度從以前的一個寬鬆的態度變成現在是要緊縮的態度台灣的中央銀行也是一樣的我們是要stand by就是在適當的時機我們的貨幣政策我們的利率政策也必須要做政策我們長期的觀察銀行在貨幣操作上
transcript.whisperx[357].start 10071.758
transcript.whisperx[357].end 10097.012
transcript.whisperx[357].text 是採這個非對稱性的嘛就是俗稱的說這個匯率政策這個生不足貶阻擋的阻生不足貶所以說當新台幣有升值壓力的時候那我們央行會積極的干預為了要保護我們這些出口業嘛出口產業但是當面對貶值所引發的我們的進口通膨干預力道就相對保守
transcript.whisperx[358].start 10097.392
transcript.whisperx[358].end 10127.032
transcript.whisperx[358].text 所以您從A30一直到現在A30不過委員你講這個的時候啊我才要再藉這個機會跟委員報告事實上呢市面上這種政說法呢是完全完全他沒有那個什麼實務上的一個實務上的一個實務上的一個一個一個一個就是說實務上他不知道實務上中央銀行是怎麼運作的
transcript.whisperx[359].start 10127.592
transcript.whisperx[359].end 10143.529
transcript.whisperx[359].text 所以說中央銀行主生不足貶這個確實在實務上是說不通的在理論上是好像在市場上好像很容易接受就是說主生不足貶現在美台利差持續擴大所以台幣貶值壓力很大
transcript.whisperx[360].start 10148.774
transcript.whisperx[360].end 10166.125
transcript.whisperx[360].text 那這種偏弱所以說我們現在央行持續這種偏弱貨幣的一個隱性政策那你一手中央銀行沒有中央銀行沒有我們一手就是說要控制通膨嘛但另外你就放任匯率貶值沒有放任啊所以要積極的作為啊積極的作為
transcript.whisperx[361].start 10172.348
transcript.whisperx[361].end 10191.151
transcript.whisperx[361].text 也是說建議啦 建議總裁 是不是我們要用力說來放棄 也不是放棄整個考量 是不是說出口利率的考量跟讓我們匯率適度的升值來抵消我們國際聯運漲價的這樣子的壓力我跟委員報告啦
transcript.whisperx[362].start 10191.771
transcript.whisperx[362].end 10202.583
transcript.whisperx[362].text 就是說在三月以後啊在三月以後啊就是說美元獨強那美元獨強的意思是什麼所有的貨幣都對美元都貶值
transcript.whisperx[363].start 10204.516
transcript.whisperx[363].end 10230.499
transcript.whisperx[363].text 都對美元貶值那好那如果說所有貨幣都對美元貶值的時候呢中央銀行就是說新台幣呢他在這個貶值的過程當中只要我們中央銀行的新台幣貶值的幅度低於我們就是說鄰近的國家像韓國跟日本如果說我們他貶值的幅度比我們大的話那表示什麼表示新台幣也是升值啊
transcript.whisperx[364].start 10232.27
transcript.whisperx[364].end 10252.31
transcript.whisperx[364].text 是不是因為相對的 相對的 這是相對的每年獨搶的情況之下因為時間有限 我再請教那19日舉行第一季禮監事會然後這個將全國資安人的第二戶購入貸款 乘數由五成調升到六成
transcript.whisperx[365].start 10253.231
transcript.whisperx[365].end 10281.583
transcript.whisperx[365].text 那這樣子一個這個維福的放寬信任管制是不是因為央行已經預見了這個房市已經緩和的這個這樣子的情況嗎是這樣子嗎你可以監督回答我想有兩個第一個就是說我們在我們的選擇信任管制到目前我們也有得到一些的成效但是這個成效是不是符合我們我們是不是我們完全滿足
transcript.whisperx[366].start 10282.563
transcript.whisperx[366].end 10291.629
transcript.whisperx[366].text 不見得啦這是第一個就是說我有一定的成效第二個呢我們最主要的就是說對於第二副那些他是自助的
transcript.whisperx[367].start 10292.608
transcript.whisperx[367].end 10314.068
transcript.whisperx[367].text 他是自住的那你要滿足他的一個需求對於那個自住的話我想我們跟他限制的太嚴格的話也不必要總算你在媒體上有回應說這一次的放寬就是為了要回應父女幫兒女買房的需求那是強調說是針對自住
transcript.whisperx[368].start 10316.77
transcript.whisperx[368].end 10329.517
transcript.whisperx[368].text 那但是現在房價依然是高掛在那邊那新成一的價格持續在上漲我們選在這個年八季這個凍息的同時來放寬這個新的管制那
transcript.whisperx[369].start 10331.069
transcript.whisperx[369].end 10358.109
transcript.whisperx[369].text 我想這個訊號會不會給我們這些建商或者是投機客來把它解釋成說成是我們央行是變成說支持房價這樣子的一個作為一個政策我們要如何保證這一層的鬆綁不會變成推升房價的一個兇手
transcript.whisperx[370].start 10359.45
transcript.whisperx[370].end 10361.193
transcript.whisperx[370].text 所以我們也一直在強調我們這一次的鬆綁是一個微調
transcript.whisperx[371].start 10367.839
transcript.whisperx[371].end 10393.367
transcript.whisperx[371].text 是一個微調所以呢也就是說微調所以呢我們呢非常的謹慎我們也不希望就是說場上那個什麼我們的市場謝謝總裁我們就務必說要盯緊市場不要讓政策變成投機客的工具讓我們最終希望讓房價能夠回到這個回歸合理的一個市場基礎沒有錯謝謝總裁謝謝原委員
transcript.whisperx[372].start 10397.888
transcript.whisperx[372].end 10400.468
transcript.whisperx[372].text 下一位諮詢委員 請羅明財委員諮詢主席 各位委員 朱列席 官員 大家好可否請央行 楊總裁
transcript.whisperx[373].start 10428.63
transcript.whisperx[373].end 10436.674
transcript.whisperx[373].text 還有是不是中央印製廠林總請中央印製廠林總經理林總經理總裁你好那個外匯存底是
transcript.whisperx[374].start 10449.394
transcript.whisperx[374].end 10460.064
transcript.whisperx[374].text 很高啊 是不是一個秀肌肉的好機會我們沒有這個意思我們發現說我們外匯存體持續在高升可是為什麼全世界很多國家外匯存體不升還減
transcript.whisperx[375].start 10478.215
transcript.whisperx[375].end 10494.292
transcript.whisperx[375].text 有的國家的外匯存底不升還減也有一些的國家是確實是因為因為他的資金流出去太多第二個呢他的外匯存底投資的成效不夠好
transcript.whisperx[376].start 10497.207
transcript.whisperx[376].end 10522.281
transcript.whisperx[376].text 黃金跟我們的儲備是這樣有不同的幣別黃金等等大概這五年前到現在產生了若干的變化很多人看在買黃金你看全世界我們講這五年來黃金購入買最多的是哪幾個國家
transcript.whisperx[377].start 10524.491
transcript.whisperx[377].end 10545.731
transcript.whisperx[377].text 大概是Russia跟中國大陸的中國大陸跟Russia德國有沒有買?沒有,德國沒有買,美國沒有買,英國也沒有買這些先進的國家都沒有買,日本也沒有買法國好像也沒有買南韓?
transcript.whisperx[378].start 10546.852
transcript.whisperx[378].end 10570.02
transcript.whisperx[378].text 南韓沒有買最近沒有買好像他前一波有買他前一波的時候有買不過那一次他買的時候據我了解他買的時候是低但是他有上漲但是後來下來他嚇了一跳
transcript.whisperx[379].start 10571.451
transcript.whisperx[379].end 10596.353
transcript.whisperx[379].text 結果後來他就不敢買但是後來黃金的價格一直上去黃金漲了那麼多央行有沒有買我們沒有買我們跟其他主要的國家來比較的時候我們都沒有買所以總裁你對美元是不是有很大的信心
transcript.whisperx[380].start 10599.994
transcript.whisperx[380].end 10622.053
transcript.whisperx[380].text 也不是說我對美元有特別的信心所以對它沒信心那也不是說對它沒有信心我們是比較了各個幣別來講的話相對的那也不是說因為我們對美元有絕對的信心然後我們的外匯存底美元的部位才會比較大不過我跟委員報告了
transcript.whisperx[381].start 10622.85
transcript.whisperx[381].end 10646.092
transcript.whisperx[381].text 我們的進出口廠商百分之九十到九十五它的報價都是用什麼它都是用美元那如果說在這種它的報價都是在百分之九十到九十五都是用美元來報價的時候呢那我們的外匯存體是不是也要因應它那所以呢如果說我們把它降到百分之八十
transcript.whisperx[382].start 10647.217
transcript.whisperx[382].end 10673.189
transcript.whisperx[382].text 你也不能就說我們對美元特別有信心這是第一點也就是說我們的進出口廠商他大部分的報價都是用美元的時候那當然我們的存底就是以美元為主這是第一點第二點以整個全球的一個貨幣制度來看的話呢美元他就是共同的貨幣現在全世界你的說法最強就是美元
transcript.whisperx[383].start 10674.049
transcript.whisperx[383].end 10691.344
transcript.whisperx[383].text 所以我們外匯存體持有美元的比重也很高啊那當然啊我剛剛在說第一個我們的進出口廠商的報價大部分90%到95%都是用美元啊那我看你也很聰明啊你美元大概我們持有有沒有65%什麼
transcript.whisperx[384].start 10693.82
transcript.whisperx[384].end 10704.292
transcript.whisperx[384].text 美元的持有 佔我們的外匯存底有沒有65%應該有有沒有接近七成應該有有啊 現在比重又變高了應該有啊
transcript.whisperx[385].start 10706.402
transcript.whisperx[385].end 10732.665
transcript.whisperx[385].text 那占七成那其他百分之三十是什麼這就我們diversify啊我們把它那個多元化第二比重最高的就是持有人民幣啊第二比重的話我們要看情況啦就是看昨天的情況啊我們就要看情況有的時候是歐元有些時候人民幣有些時候是其他的貨幣
transcript.whisperx[386].start 10734.594
transcript.whisperx[386].end 10758.505
transcript.whisperx[386].text 為什麼你會想持有人民幣因為我跟委員報告啦人民幣是因為我們台灣跟跟中國大陸的一個貿易呢他的這個要清算的時候呢人民幣就是本身他就因為我們跟他的貿易很大所以也就是說我們也必須要握有部分的人民幣作為
transcript.whisperx[387].start 10759.565
transcript.whisperx[387].end 10783.25
transcript.whisperx[387].text 我們的廠商跟中國大陸的一個廠商的清算人民幣的持有有沒有佔百分之五上上下下那Range大概多少Range有沒有超過3%我現在忘了啦 待會底下的時候我再告訴你我跟委員報告你會不會再加持人民幣
transcript.whisperx[388].start 10784.77
transcript.whisperx[388].end 10799.885
transcript.whisperx[388].text 你會不會再增加持有人民幣我跟委員報告人民幣以前我們會多持有它有兩個因素第一個因素就是說我們跟中國大陸的一個貿易的往來大
transcript.whisperx[389].start 10800.526
transcript.whisperx[389].end 10816.146
transcript.whisperx[389].text 而且我們的廠商有一些它的收支有一部分是用人民幣 這是第一點第二點 當時的人民幣的利率非常高好像甚至都比美銀高
transcript.whisperx[390].start 10817.447
transcript.whisperx[390].end 10831.397
transcript.whisperx[390].text 所以在這種情況之下我們都有一個比重就是歐元人民幣後來就下降下來為什麼會下降下來現在下降多少下降下來我現在不太曉得今天有沒有剩大概5%
transcript.whisperx[391].start 10832.998
transcript.whisperx[391].end 10848.348
transcript.whisperx[391].text 應該是低一點歐元的持有大概有多少歐元的持有也大概是差不多我們大部分第二個就是說我們第二個幣幣我同事告訴我我們第二個幣幣就是歐元第二個是歐元第三個是人民幣第四個
transcript.whisperx[392].start 10850.409
transcript.whisperx[392].end 10858.174
transcript.whisperx[392].text 我們第四個的話就是說英鎊、澳幣、日元這些都是有加幣也有也蠻多元化的啦你會不會考慮說現在全世界變化很快美伊戰爭、俄烏戰爭打完以後
transcript.whisperx[393].start 10877.762
transcript.whisperx[393].end 10900.907
transcript.whisperx[393].text 美金會不會變弱?因為全世界都在贊成啊這個委員做這樣的一個預測我記得啊不知道對不對我記得啊就是說去年初去年初或是去年中以後大家就說美國要降息所以美元都會弱但是呢好像也沒有這麼一回事
transcript.whisperx[394].start 10903.488
transcript.whisperx[394].end 10917.937
transcript.whisperx[394].text 從最近來看的話它的指數呢是降到96但是最近都又跑到100以上所以呢我跟委員報告啦匯率的預測很難啦你要在這邊叫我來預測說美元會強啊會弱啊誰知道美元發行的基礎它是用
transcript.whisperx[395].start 10927.41
transcript.whisperx[395].end 10947.444
transcript.whisperx[395].text 黃金來做發行準備對不對也不是那美國發行美金是用什麼做準備我跟委員報告等一下 那我們新台幣的發行是用什麼來做準備我們是用黃金做準備黃金還有我們的外存底黃金很好啦 因為一閃一閃亮晶晶黃金有多少噸我們黃金有480幾噸
transcript.whisperx[396].start 10953.7
transcript.whisperx[396].end 10960.068
transcript.whisperx[396].text 423噸好像是一個護國神山我們台幣的護國神山有沒有減少我們沒有減少有沒有增加沒有增加
transcript.whisperx[397].start 10972.282
transcript.whisperx[397].end 10987.258
transcript.whisperx[397].text 我們手上都是美金美債那你會不會考慮說萬一萬一美元來一天因為走強以後就必定會走弱嘛你會不會把手上
transcript.whisperx[398].start 10987.939
transcript.whisperx[398].end 11001.211
transcript.whisperx[398].text 的外匯存底來轉化來買一些黃金我們也有考慮只是說現在有考慮還沒做是還沒有做而已考慮那個點大概什麼時候會做我怎麼會曉得只是說我們認為
transcript.whisperx[399].start 11004.053
transcript.whisperx[399].end 11017.803
transcript.whisperx[399].text 我們認為就是說我們覺得是一個很好的時機是很好的時點的時候呢中央銀行會進去我從來沒有聽過你講這句話但是我跟委員報告黃金貴不貴黃金貴不貴以現在來講的話我總覺得它是貴現在貴喔所以你覺得現在貴貴與不貴事實上跟現在我們都是靠美金美元可是
transcript.whisperx[400].start 11034.034
transcript.whisperx[400].end 11060.844
transcript.whisperx[400].text 總裁啊美國他的黃金儲備啊他黃金還在不在啊他在啊你有見過嗎我看過啊你到哪裡看的我看過我在美國看的美國有四個地方你在哪個地方看到我在紐約看的紐約紐約他是因為聯邦銀行的這個說黃金放那邊嗎對啦那個不是最大宗對啦最大宗是在肯特基吧
transcript.whisperx[401].start 11062.686
transcript.whisperx[401].end 11077.103
transcript.whisperx[401].text 這個我就不曉得啦反正我看過啦肯特基那個量是最大的連那個川普啊他Elon Musk上去的時候說50年沒人去看過黃金木曉還在不在是啦 應該在啦應該在喔
transcript.whisperx[402].start 11079.947
transcript.whisperx[402].end 11096.279
transcript.whisperx[402].text 眼見為憑 改天你可不可以帶我們去看一下我想中央銀行 全球的中央銀行都是很謹慎的啦所以你們懷疑中央銀行黃金還在不在啊那當然在啊我們台灣的我應該覺得我有去看過啦我們這個主席也去看過
transcript.whisperx[403].start 11097.318
transcript.whisperx[403].end 11118.528
transcript.whisperx[403].text 可是美國的我沒去看過啊總裁你也沒看過啊不過我將心比心啦中央銀行都是很優勝的啦謝謝榮民財委員那個總裁最後一句話萬一如果去看黃金不在對美元會產生什麼樣的變化下期分解下次再跟我說這個機率是零啦好 謝謝
transcript.whisperx[404].start 11123.9
transcript.whisperx[404].end 11132.788
transcript.whisperx[404].text 我因為對他們非常有信心所以我在財政委員會14年了但是我沒有去過他們新店文員來 下一個諮詢委員請陳玉珍委員質詢謝謝主席 我們請央行總裁請中央醫療的央行總裁
transcript.whisperx[405].start 11147.348
transcript.whisperx[405].end 11149.569
transcript.whisperx[405].text 我們現在預計就是說我們五個面額我們現在是初步
transcript.whisperx[406].start 11165.214
transcript.whisperx[406].end 11189.392
transcript.whisperx[406].text 初步我們也聽聽那個諮詢委員的一個意見初步他們也認為就是說五個面額多改版應該沒有問題五個面額喔你說紙幣喔 兩千啊 一千啊那硬幣不改版兩千 一千兩千 一千 五百 兩百 一百五個面額全面要改喔對 因為我跟委員報告
transcript.whisperx[407].start 11192.154
transcript.whisperx[407].end 11219.566
transcript.whisperx[407].text 要花多少錢要花多少錢多少預算我們這樣的話呢每張大概成本會增加1.5塊總共要花多少預算這個還不曉得大概有沒有個Range沒有沒有是指三千萬五千萬因為有時候網路流量很大的因為現在總量是什麼樣都還不曉得所以你沒有一個預算嗎改版沒有一個預算嗎三千萬五千萬三億五億三十億五十億我們還沒有編預算三百億五百億你有沒有一個概念
transcript.whisperx[408].start 11220.487
transcript.whisperx[408].end 11227.353
transcript.whisperx[408].text 有概念嗎我想我這個謹慎一點大概 哪個範圍100億到500億1億到500億我一講的時候到時候又順順不是 你沒有概念怎麼要那個什麼要改本要花那麼多錢然後就又再做文章來 這個第一個你心裡要有概念嗎我認為這是適當的沒有 你如果打算要做你要知道
transcript.whisperx[409].start 11241.947
transcript.whisperx[409].end 11270.382
transcript.whisperx[409].text 沒關係 這個還沒嘛到時候反正要提出來啦對對對第二個那個內容我看到前一陣子有在做什麼調查什麼的那我們國家是中華民國對吧中華民國就有台澎金嘛對不對 台澎金嘛台澎金嘛對不對 台澎金嘛你們做改版不只做防衛技術還要重新定義喔這個台澎金嘛所以代表台澎金嘛沒有啦 我們就中華民國就好了有台灣嘛 有台灣島的一些東西啦
transcript.whisperx[410].start 11271.102
transcript.whisperx[410].end 11294.891
transcript.whisperx[410].text 那個金門的這個意象你看一下立豪豐富金門的閩南燕尾建築這些東西要跟我們思考一下這是金門的台澎金馬嘛不要只注意台灣有什麼東西不要只注意台灣島有什麼東西離島不要忘記我們是生命共同體我們是一個國家嘛
transcript.whisperx[411].start 11296.471
transcript.whisperx[411].end 11314.035
transcript.whisperx[411].text 這個金門的水灘也很漂亮對啊我都沒有看你們選項裡面有這些東西啊全部都是台灣的一些對不對來看你有些什麼你們票選嘛有19萬人民去票選島與生態這個島這個圖上面沒有看到我們的島啊我的島在哪裡我們金門在哪裡
transcript.whisperx[412].start 11316.936
transcript.whisperx[412].end 11338.491
transcript.whisperx[412].text 對吧 保育都有民族結晶這個還有一點感覺你做這個到時候不要改版出來那個地圖那個新台幣改版只剩下一個台灣島澎湖金門馬祖都不見了中華民國啊 台澎金嘛我希望這個央行要幫我們審慎的這個注意這一點你看你們現在的這個
transcript.whisperx[413].start 11340.761
transcript.whisperx[413].end 11358.309
transcript.whisperx[413].text 這個地圖上你們打算做這個以後的新台幣只有台灣島沒有離島沒有金門沒有馬祖有澎湖啦整個設計都是台灣島101啊什麼地質我們都沒有啊我們有那個水灘啊
transcript.whisperx[414].start 11359.509
transcript.whisperx[414].end 11382.314
transcript.whisperx[414].text 是不是你要讓我們離島覺得說我們真的是同一個生命共同體嘛如果加一點點離島的元素可以嗎那馬祖的意向在哪裡金門的意向在哪裡是不是要幫我們思考一下不然難道以後我們台幣上面都要印的跟以前一樣現金門地區使用你們這個現台灣地區使用你知道我們金門以前的紙鈔啊你知道嗎我知道啊
transcript.whisperx[415].start 11385.595
transcript.whisperx[415].end 11410.461
transcript.whisperx[415].text 什麼寫 限金門必須使用我知道啊所以金門也出現了所以金門也出現了就金門兩個那你後來要印新的改版後要再印出限金門必須使用沒有嘛對不對 那個以前戰略中的時代所以我們希望你們在考慮這個新的改版的時候一定要把離島考慮進去我們也有很多意向嘛那我們才會覺得我們是生命共同體嘛對不對 不要只有台灣的與會台灣島的與會嘛好嗎
transcript.whisperx[416].start 11413.443
transcript.whisperx[416].end 11431.703
transcript.whisperx[416].text 請你幫我們慎重考慮我們有水撻、有保育、有生態我們有麗河豐湖你們那個是地質什麼我們是麗河豐湖我們有銀城房我們有閩南的建築非常好看這個一定要記得共同的這個概念
transcript.whisperx[417].start 11435.867
transcript.whisperx[417].end 11451.602
transcript.whisperx[417].text 這我的助理弄出來的澎湖的玄武岩啊這個馬祖的藍眼淚啊金門的這個水撻這樣是不是把台澎金馬都加進去請你考慮領導人的這個想法展現中華民國是有台澎金馬才可以
transcript.whisperx[418].start 11452.362
transcript.whisperx[418].end 11455.605
transcript.whisperx[418].text 才不會讓李導覺得這個我們現在請財經公司 請慎重考慮考慮李導人的想法才不會覺得所有東西我們都好像沒有被畫在一起來 財經公司 謝謝
transcript.whisperx[419].start 11470.614
transcript.whisperx[419].end 11489.299
transcript.whisperx[419].text 董事長 我們這裡面要去考察貴公司要去考慮智慧金門的事情 數位振興以前發行資本券有很多高行政成本 場所受限 房位各方面現在走向數位經濟
transcript.whisperx[420].start 11492.1
transcript.whisperx[420].end 11502.273
transcript.whisperx[420].text 有很多的好處那我要跟您探討一下請您這個我現在講這些想跟您探討那當然禮拜四的時候也希望 歡迎喔可以幫我們做相關的這個研究現在你們有這個TWQR嘛 台灣碼嘛
transcript.whisperx[421].start 11507.339
transcript.whisperx[421].end 11523.95
transcript.whisperx[421].text 一碼通 對吧我看這個做得不錯就是有可以讓 而且有讓商家升級那我看財政部也有說如果用電子支付的話數位支付的話可能在稅的方面 在小額商家的 小的小規模營業額上面可以給一點這個
transcript.whisperx[422].start 11525.671
transcript.whisperx[422].end 11546.605
transcript.whisperx[422].text 稅務上的優惠但是這時候後面的你們這個系統就相當重要了那當然如果用電子稅務支付的話會有很多很多好處那我來跟你講一下金門現在的情形我們金門現在有很多社會的福利社會福利就包括您看一下包括觀光
transcript.whisperx[423].start 11550.908
transcript.whisperx[423].end 11561.656
transcript.whisperx[423].text 這個金門希望以後要做這個數位券我們現在有券嘛 你知道我們金門有很多的券我們有感恩券 就配酒的酒券 就是三結酒都有那個 您知道嗎
transcript.whisperx[424].start 11563.683
transcript.whisperx[424].end 11566.005
transcript.whisperx[424].text 55歲到64歲我們每一年會發三萬六千元每一節都會發錢每一節都還會
transcript.whisperx[425].start 11579.221
transcript.whisperx[425].end 11596.1
transcript.whisperx[425].text 配壽酒是賣的但是用酒券然後還有當然基本上很多社會福利措施不管這個那個各方面的非常多的社會福利措施這個從現在開始講到下午可能講不完但是這個東西要走向數位化所以我們希望
transcript.whisperx[426].start 11597.401
transcript.whisperx[426].end 11601.823
transcript.whisperx[426].text 藉由我們財經公司的專業人力幫我們做一個整合的數位平台我們有醫療長照的補貼我們有交通觀光基本有交通觀光的補貼像台灣在講這個什麼營養午餐免費我們30年前就可以做了還有我們有公車免費 船免費兩塊 沒有免費 保險
transcript.whisperx[427].start 11616.83
transcript.whisperx[427].end 11637.307
transcript.whisperx[427].text 還有各式各樣的補貼 交通 敬老的津貼比如說一百多歲領七千 九千 救學每一個學期 學生都發交通券 圖書券然後感恩券 就是這個酒 還有預算我們希望財經公司可以幫我們思考一下後面整個這個部分
transcript.whisperx[428].start 11638.027
transcript.whisperx[428].end 11663.205
transcript.whisperx[428].text 那金門是一個很好實驗這個數位化的地方您知道我的意思嗎那你們做這麼多 財經這個公司做這麼多研究那我感覺上在現在台灣整個普遍市面上好像也沒有用的很普遍啦就是有 但是還不夠普遍那是不是在這個部分 財經公司可以特別幫忙思考一下事實上你可以做一個類似一個實驗的地方
transcript.whisperx[429].start 11664.886
transcript.whisperx[429].end 11689.599
transcript.whisperx[429].text 是 我們再跟委員請教我們對金門的這個如果要發這個券的話怎麼跟我們的數位這個平台結合然後做一個研究對 因為各式各樣的政府的支出給民間在來的福利不管是哪一類的福利因為政府本身就註下了很多資源在這個裡頭然後民間普遍不管食衣住行方面以後說不定還更多
transcript.whisperx[430].start 11690.379
transcript.whisperx[430].end 11704.813
transcript.whisperx[430].text 這些方面如果有這個讓它導入數位化然後地區的金門地區的商家從這邊開始實驗我想財經公司是可以扮演一個很重要的角色你們可以幫我幫我們金門做個相關的研究嗎
transcript.whisperx[431].start 11705.653
transcript.whisperx[431].end 11724.879
transcript.whisperx[431].text 是的因為本身也很有基礎的嘛是是是那我們禮拜四去考察的時候可能會麻煩這個相關的這個準備包括後端還有包括可能遇到什麼問題啊然後怎麼樣包括你看消費上然後請款上面管理上面民眾好消費商家好請款政府好管理這個
transcript.whisperx[432].start 11726.619
transcript.whisperx[432].end 11739.747
transcript.whisperx[432].text 研究出來後也來跟我們地方政府來做一個對接啦這個也可以讓財經公司扮演一個蠻重要的角色沒問題吧我們禮拜四過去考察的時候麻煩提出相關的報告啦好 謝謝您好 謝謝下一位質詢委員請王世堅委員質詢
transcript.whisperx[433].start 11759.694
transcript.whisperx[433].end 11763.523
transcript.whisperx[433].text 謝謝主席,我請央行楊總裁請坐,央行楊總裁
transcript.whisperx[434].start 11770.146
transcript.whisperx[434].end 11795.826
transcript.whisperx[434].text 楊總裁辛苦了謝謝你鼓勵尤其這幾年來你堅持一些看法堅持你們專業的分析你們對於房市的管制一直都持著很嚴謹的態度並沒有妥協這一點社會大眾對你是非常肯定也感謝的
transcript.whisperx[435].start 11796.667
transcript.whisperx[435].end 11814.568
transcript.whisperx[435].text 只是我最近有一事不解也是關於房市的問題前年啊你那時候是有動作先機當時你針對不動產放款的集中度來做管制這是對的
transcript.whisperx[436].start 11817.85
transcript.whisperx[436].end 11824.633
transcript.whisperx[436].text 前年六月當時不動產放款集中度是高達37.61%那當時你就開始宣布要管制目標是35%這也都很正確很好
transcript.whisperx[437].start 11835.999
transcript.whisperx[437].end 11860.679
transcript.whisperx[437].text 那到了這個去年的9月去年的9月是已經降到36.71所以我們仍然繼續管制這個多好但是啊到了這個去年12月底貴航第四季的禮監事會議的時候當時就鬆綁了集中度的管制當時是
transcript.whisperx[438].start 11863.274
transcript.whisperx[438].end 11885.862
transcript.whisperx[438].text 降0.01而已當時是從36.71降到36.7結果只降0.01那你們突然間就把這個管制就放鬆了那尤其在今年十天前十天前你們第一季的禮監事會的時候你們竟然是說要放寬
transcript.whisperx[439].start 11887.683
transcript.whisperx[439].end 11911.578
transcript.whisperx[439].text 自然人第二戶購屋貸款放寬從五成放寬到六成這一點我就百思不解啦這一點我就不解現在我們房屋放款的集中度並沒有再大幅下降啊離目標35%也還一段距離為什麼在此時此刻放寬
transcript.whisperx[440].start 11912.719
transcript.whisperx[440].end 11928.767
transcript.whisperx[440].text 而且放寬這個第二戶齁那個總裁應該你也曉得啊第二戶會購買第二戶以後甚至第二戶以上好幾戶的大多數都是投資客
transcript.whisperx[441].start 11929.824
transcript.whisperx[441].end 11947.791
transcript.whisperx[441].text 那我們如果放寬第二戶房貸的限制的話等於就是也放寬了讓投資客他們可以繼續去藉由炒作去獲利去炒高房價那我為什麼這麼不懂
transcript.whisperx[442].start 11949.249
transcript.whisperx[442].end 11963.442
transcript.whisperx[442].text 除了房屋放款的集中度以外集中度沒有降跟現在民眾的感覺也都息息相關我就舉這幾個大筆的比方說我就舉三大好了
transcript.whisperx[443].start 11965.126
transcript.whisperx[443].end 11974.589
transcript.whisperx[443].text 購屋痛苦指數好了購屋痛苦指數在我們台灣在我們國內台北市最高他超過60%高達65.41新北市其次56.77痛苦指數台中也破50%
transcript.whisperx[444].start 11987.637
transcript.whisperx[444].end 12009.561
transcript.whisperx[444].text 那在購屋痛苦指數依然居高之下第二點房價所得比房價所得比竟然平均平均國內房價所得比9.71啦9.71倍也就是說不吃不喝要9.71年才有辦法來買房子那第三
transcript.whisperx[445].start 12016.738
transcript.whisperx[445].end 12041.432
transcript.whisperx[445].text 就是房貸負擔率房貸負擔率我們多數國人把整個家庭收入啊比方說在台北市的部分有將近七成房貸負擔率將近七成高達七成之多全國平均房貸的負擔率是42%這都很高啊
transcript.whisperx[446].start 12045.571
transcript.whisperx[446].end 12066.376
transcript.whisperx[446].text 大家辛苦工作所得 結果都成了烏奴啦都成了烏奴所以在這三大面向的分析之下都是全民感受得到的痛苦之下結果我們突然間3月份好不容易堅持這麼久的
transcript.whisperx[447].start 12068.257
transcript.whisperx[447].end 12091.594
transcript.whisperx[447].text 根據這個我們這麼久的這個根據這個房市的管制結果這次鬆綁了 你看法為什麼為什麼是 我覺得那個委員的分析都非常的正確至於就是說要我們來說一個理由我想我很簡單的 第一個就是說
transcript.whisperx[448].start 12095.978
transcript.whisperx[448].end 12105.247
transcript.whisperx[448].text 37.6%下降到36%這個是也有一定的成效了當然剛剛委員是說我們的目標是35%不過我們也沒有對外講究說我們的目標就是一定35%
transcript.whisperx[449].start 12113.394
transcript.whisperx[449].end 12139.885
transcript.whisperx[449].text 這要看情況啦不過呢35就是說是從你的圖形上看上去的話35是確實是從低點往上的嘛所以呢我想36到目前為止我們只有說我們有一定的成效我們沒有說我們很滿意這是第一點第二點呢我們之所以會放我們就是說一定的成效第二點我們為什麼會放寬第二戶最主要的就是說
transcript.whisperx[450].start 12140.825
transcript.whisperx[450].end 12156.75
transcript.whisperx[450].text 我們剛剛委員分析的也沒有非常正確就是說第一戶跟第二戶是草房的最大最大宗嘛那第一戶呢在第一戶跟第二戶裡面呢是第一戶的草房的比重更大
transcript.whisperx[451].start 12157.847
transcript.whisperx[451].end 12183.83
transcript.whisperx[451].text 第二戶草房的比重比較小根據我們的資訊第一戶的草房的大概是七成第二戶的大概是兩成最多兩成我記得是15%到20%這是第二個第三個就是說在我們管制的這一段期間裡面第二戶下降的速度非常快
transcript.whisperx[452].start 12184.79
transcript.whisperx[452].end 12195.659
transcript.whisperx[452].text 它下降會速度非常快所以呢也就是說是從從多少呢從這個從它是減少了跟同期間是從它是減少了分別為24.7 18.3你說集中度減少
transcript.whisperx[453].start 12204.386
transcript.whisperx[453].end 12228.409
transcript.whisperx[453].text 不是 就是說第二戶的減少 減少的幅度非常大第二戶的減少的幅度非常大他減少了多少呢 減少了8.6跟6.5那我們是覺得就是說 以草房的七成 大部分是說第一戶那第二戶呢 他只有占15%到20%那但是呢 他下降的速度比較快
transcript.whisperx[454].start 12229.17
transcript.whisperx[454].end 12245.975
transcript.whisperx[454].text 那我們是覺得就是說如果我們因為第三個就是說他對第二戶呢就是說他是自住的那我是總覺得這個自住我們如果說微調的話呢對於整個我們的管制的那個的impact應該是不會有多大的影響
transcript.whisperx[455].start 12246.835
transcript.whisperx[455].end 12263.1
transcript.whisperx[455].text 你認為說不會太大影響這個我們尊重但是你剛剛講它第二戶構設的我們放寬但是你說它是自住自住這一點我希望在這一個部分我們可以加強去稽查去瞭解可以透過銀行去瞭解
transcript.whisperx[456].start 12266.721
transcript.whisperx[456].end 12290.252
transcript.whisperx[456].text 至於你說的第一戶的炒房率遠高於第二戶這個當然我們再研究一下啦你們可能那邊有研究的我看的資料我自己分析的是沒有差那麼多啦可能就是建商因為他們會現在大舉的用這個公司的人頭戶去把這個
transcript.whisperx[457].start 12294.283
transcript.whisperx[457].end 12309.551
transcript.whisperx[457].text 他們當初的土榮建榮要轉成分屋貸款這可能也是個原因啦要不然往往都是第二戶投資客最多啦我第二個問題要請教你的就是關於我們這個主權基金主權基金
transcript.whisperx[458].start 12318.335
transcript.whisperx[458].end 12321.078
transcript.whisperx[458].text 你支持還是不支持就是說如果
transcript.whisperx[459].start 12344.474
transcript.whisperx[459].end 12361.187
transcript.whisperx[459].text 我們不用外匯那改用其他這兩種管道財政部發特定的公債那這個稅收我們用財政盈餘來做主權基金那這樣你支不支持我當然我也支持啊
transcript.whisperx[460].start 12361.747
transcript.whisperx[460].end 12389.473
transcript.whisperx[460].text 也是支持我也是支持在我看我是認為我們一定要用外匯存底當作基底我想總裁你也應該心知肚明這是我們國家最大筆的來源也最穩定鄰近的國家韓國 馬來西亞 香港他們都是所以我希望說是不是再來你針對說要有長波用要有一定
transcript.whisperx[461].start 12390.553
transcript.whisperx[461].end 12412.909
transcript.whisperx[461].text 固定一個利潤以上才肯那你再研究一下要怎麼樣的利潤才肯因為我們大家把話挑明尤其中央銀行你帶頭財政部、經濟部、金管會跟隨之下我們趕快來促成主權基金好不好因為主權基金我們到現在為止我們台灣確實有點慢了應該要積極下去推動落實好不好好 謝謝謝謝委員
transcript.whisperx[462].start 12421.212
transcript.whisperx[462].end 12449.629
transcript.whisperx[462].text 再來下一位諮詢人員請葛如君委員質詢好 謝謝主席有請央行楊總裁請中央央行楊總裁
transcript.whisperx[463].start 12455.053
transcript.whisperx[463].end 12470.618
transcript.whisperx[463].text 總裁早首先要感謝央行在去年底提供給我們比特幣是否作為央行儲備資產有一份正反並程的報告這一點我們真的是要給你肯定裡面有提到捷克央行已經投入100萬美元來購買加密資產
transcript.whisperx[464].start 12472.899
transcript.whisperx[464].end 12493.396
transcript.whisperx[464].text 同時我們也感謝行政院感謝法務部也協助我們調查了我們沒收扣押的比特幣台灣目前大概為止大概210顆目前已經可以排到全球將近前十的一個狀態雖然那個東西跟資產還有儲備還是有很長的距離但是我想我們開始理解這件事情是健康的
transcript.whisperx[465].start 12494.156
transcript.whisperx[465].end 12510.907
transcript.whisperx[465].text 各國其實非常關注這個也跟總裁介紹一下這是美國的參議員的幕僚辦公室的同仁之後去建立的一個比特幣戰略儲備的智庫所建立的台灣應該考量比特幣戰略儲備的一份報告
transcript.whisperx[466].start 12512.688
transcript.whisperx[466].end 12531.735
transcript.whisperx[466].text 那這個之後我們有機會再分享給總裁裡面說台灣相當適合持有一定程度量的比特幣原因在於我們的地緣政治的環境無論可能是要面對海上的封鎖或者全面的入侵的情況之下相較於純正的美元跟黃金比特幣
transcript.whisperx[467].start 12532.395
transcript.whisperx[467].end 12559.623
transcript.whisperx[467].text 是唯一一個可以在兩種情況下都完全可以存取的狀態使得世界上已經有40個以上的國家透過不同的方式來持有比特幣美國薩爾瓦多已經建立戰略儲備不單俄羅斯透過挖礦中國大陸英國透過保留查扣沒收的虛擬資產來建立這個部位盧森堡則是用主權基金來投入比特幣的交易所
transcript.whisperx[468].start 12560.343
transcript.whisperx[468].end 12586.16
transcript.whisperx[468].text 烏克蘭更不用講是接受比特幣作為戰爭的捐款那瑞士央行則是持有依賴比特幣價值的股票等等那完整的結論有建議啦台灣我們在一個所謂的國家論述裡面多次提到韌性resilience那要擁有韌性我們也要有創新的精神和勇氣早期的去思考將比特幣作為其中一種選項的可能性
transcript.whisperx[469].start 12587.04
transcript.whisperx[469].end 12596.307
transcript.whisperx[469].text 不過既然央行有點曾經會提到過比特幣的這個價格波動等等暫時我相信可能沒有這個立場有改變嗎
transcript.whisperx[470].start 12598.372
transcript.whisperx[470].end 12617.959
transcript.whisperx[470].text 你就說是比特幣的價格波動還是比特幣戰略儲備的計畫央行的態度有沒有轉變到目前為止我們還是沒有轉變了解但是相關的報告我想已經很棒了這個持續在研議但我想要提供一個想法給總裁參考虛擬資產有它的便利性
transcript.whisperx[471].start 12618.659
transcript.whisperx[471].end 12633.684
transcript.whisperx[471].text 流動性比較方便流動速度也快那我們能不能考慮假設沒有比特幣在內儲備我們有沒有可能考慮穩定幣的儲備就是把我們的外匯或者我們的某一些儲備部分小額的
transcript.whisperx[472].start 12635.605
transcript.whisperx[472].end 12653.7
transcript.whisperx[472].text 轉為穩定幣的方式來儲存那去年穩定幣的總交易量高達46兆美元流通性也非常的健康總裁有沒有辦法考慮看看我們的外匯現在可能是以美債或者是以這個其他的形式來存放在極端狀況發生的時候可能會有流動性的問題
transcript.whisperx[473].start 12654.962
transcript.whisperx[473].end 12663.819
transcript.whisperx[473].text 烏克蘭也是用穩定幣比特幣在做這個防衛的這些採購總裁能不能參考一下這個概念穩定幣的儲備
transcript.whisperx[474].start 12665.632
transcript.whisperx[474].end 12693.849
transcript.whisperx[474].text 是啦 我想這個議題都是一樣的就是說比特幣也好或是穩定幣也好我們一併來考量一併考量但是就是說我們的決定是怎麼樣以目前為止 到目前為止我還是要跟委員講就是說穩定幣跟比特幣作為戰略儲備在我們的外存體裡面的一小部分這個到目前為止我們的態度
transcript.whisperx[475].start 12694.449
transcript.whisperx[475].end 12721.882
transcript.whisperx[475].text 都還沒有改變但是呢時空會改變嘛時空會改變的時候呢我們的那個決定呢也必須要做某些的調整啦不過這個我也不能就是說我們以後就是一定會這樣子啦這個總裁我想大破大立的角色希望您可以來承擔啦因為您剛剛也提了嘛一小部分啦因為我們也要分散風險目前我們看到穩定幣或RWA在美國已經合法化了
transcript.whisperx[476].start 12722.422
transcript.whisperx[476].end 12744.95
transcript.whisperx[476].text 未來我們持有的美債也說不定可以有一部分用RWA的方式代幣化的存放極端狀況發生的時候我們要來交換能源我們要來交換這些武器相對的有可能會更加的方便來降低我們的外匯在現在的狀態的整理風險那我想接著想要跟你討論一下近日在美國這個穩定幣的議題就非常熱門其實穩定幣的利息
transcript.whisperx[477].start 12749.771
transcript.whisperx[477].end 12764.657
transcript.whisperx[477].text 目前對穩定幣的發行人不得向用戶支付利息這個我們都理解但是像平台商交換商這樣的二級市場並沒有明確規範但是前幾天銀行業者在美國已經退一步了
transcript.whisperx[478].start 12766.138
transcript.whisperx[478].end 12794.339
transcript.whisperx[478].text 說僅禁止餘額型的收益對於有行為的獎勵則是維持開放的也就是你有主動性的部分就可以有第三方去提供利息那我們的VASP專法裡面的穩定幣的篇章不管是穩定幣發行運用費值金管會都要洽商央行的意見想請問一下央行對於非發行商提供穩定幣的存放利息主動型的或者被動型的央行的態度是什麼
transcript.whisperx[479].start 12794.839
transcript.whisperx[479].end 12811.395
transcript.whisperx[479].text 我想這個議題還是因為還是在演繹當中那這個今晚會跟我們討論至於就是說我們態度目前為止我想我也不便在這邊講得很細節基本上我們彼此會互相討論好不好
transcript.whisperx[480].start 12813.016
transcript.whisperx[480].end 12827.134
transcript.whisperx[480].text 就彼此尊重尊重專業也尊重金管會還有尊重相關虛擬資產服務業者的意見好不好好那我們就一起來商討謝謝各位委員下一位諮詢委員請洪育翔委員諮詢
transcript.whisperx[481].start 12844.11
transcript.whisperx[481].end 12847.317
transcript.whisperx[481].text 好 謝謝主席我請這個總裁請周一黃楊總裁
transcript.whisperx[482].start 12859.49
transcript.whisperx[482].end 12875.406
transcript.whisperx[482].text 我是把央行的業務報告整個看完我想在第14頁來講的話根據央行的報告我們去年的CPI是1.66%今年大概是預估1.8%
transcript.whisperx[483].start 12877.128
transcript.whisperx[483].end 12891.687
transcript.whisperx[483].text 但是我們在同一份報告也承認整個去年拉高這個物價的主因大概就是外食跟房租它其實動線了我們CPR上升大概1.35個百分點也就是大概佔比是81%
transcript.whisperx[484].start 12893.149
transcript.whisperx[484].end 12914.987
transcript.whisperx[484].text 那我們再看今年的話其實核心的CPI大概也是1.93最有感的還是外使房租大概還有最近的因為油電這些上漲那可能我們還有交通費這些東西那所以呢我們在看的是說整個央行會不會是說在這整個我們這個通膨的溫和
transcript.whisperx[485].start 12917.509
transcript.whisperx[485].end 12936.068
transcript.whisperx[485].text 比較是存在報表上就是人民的生活的感受是不是因為我們可能會低估所以基本上來講就是說想請教這個總裁從我們小老百姓到底這樣子的央行的政策有沒有辦法去減輕我們一些的痛點
transcript.whisperx[486].start 12938.589
transcript.whisperx[486].end 12952.439
transcript.whisperx[486].text 委員問得也很好這個就是說一般的百姓跟我們中央銀行的這個數據來對比的時候總覺得好像是有落差
transcript.whisperx[487].start 12953.86
transcript.whisperx[487].end 12971.596
transcript.whisperx[487].text 那當然就是說從這三項來看的話就跟我們的民生的問題很有關聯而且都漲得比較高但是整體來講的話沒有那麼高那我們中央銀行的決策都是按照整體的來做決定
transcript.whisperx[488].start 12974.861
transcript.whisperx[488].end 12989.784
transcript.whisperx[488].text 那我想第一個我必須要說明的是全球的中央銀行基本上都是以整體的通膨來看的他沒辦法針對某一項某一項那跟民眾比較有關係的第一個我們看就是說
transcript.whisperx[489].start 12990.645
transcript.whisperx[489].end 13000.389
transcript.whisperx[489].text 主計總署他也有發布除了就總部全部的CPI的總指數以外的通膨率以外他也編列了這個賜互有的還有就是說比較所得比較低的他的通膨怎麼樣他也是會反映出低所得者的通膨率比較高明白
transcript.whisperx[490].start 13015.814
transcript.whisperx[490].end 13041.624
transcript.whisperx[490].text 因為央行的政策還是總體的控制但是說如果總裁有一些高見也可以影響一些部會如果會商一下因為我覺得苦民所苦還是很重要但我們每次調查民眾都覺得你講這個都聽不懂是沒有錯就是說另外在央行的報告裡面國際的油價預測從每桶58.3到上修到85可能還會再增加對
transcript.whisperx[491].start 13043.665
transcript.whisperx[491].end 13065.331
transcript.whisperx[491].text 這樣子的話大概就是拉高了我們CPI大概0.52個百分比但是我們靠著比如說台電中油這樣的吸收專案還漲甚至減稅我們把它壓到影響大概0.17個百分比所以你會看出來這個是現在的溫和大概是靠政府的吸收跟國營事業虧損出來的一個幻象
transcript.whisperx[492].start 13066.806
transcript.whisperx[492].end 13086.454
transcript.whisperx[492].text 那我的意思是說如果我們油價繼續攀漲這個雙環漲的機制我不曉得還能撐多久因為最終你這電價調整財政的補貼或國庫的稅收最後還是要回到我們人民的身上嘛或者納稅嘛所以我想說看這個央行總裁有沒有什麼樣的高見
transcript.whisperx[493].start 13088.135
transcript.whisperx[493].end 13108.569
transcript.whisperx[493].text 我跟委員報告 基本上政府用這樣的 所以我跟委員在我回答這個議題之前 我先跟委員報告一下就是說在俄烏戰爭的時候 台灣行政院也用這樣的一個機制來控制我們的通膨
transcript.whisperx[494].start 13111.031
transcript.whisperx[494].end 13127.567
transcript.whisperx[494].text 這個也不是新招 以前我們的穩定的物價這個就是說供給面的問題就必須要用供給面的政策來對付它中美銀行的利率政策是要抑制需求反而是不好的所以應該是政府來做這件事那我們就用俄烏戰爭的這個例子來說明
transcript.whisperx[495].start 13134.053
transcript.whisperx[495].end 13157.067
transcript.whisperx[495].text 當時呢就是說用這樣的來政府用管帳的一個機制的時候呢你看看2020年到2025年呢我們台灣的平均的這個通膨率是1.85好沒關係那個總裁因為時間有限所以可能在報告上面所以我的意思就是說
transcript.whisperx[496].start 13158.087
transcript.whisperx[496].end 13185.118
transcript.whisperx[496].text 政府是還是必要的好還是要必要的明白最後一個我只有最後一個小問題就是因為我們產業發展的事因為我也來自資訊產業我們經濟成長率大概8.68%反正就是我們AI資訊半導體一個人的50%但是也從你的報告看到我們其他服務業的薪資的增長是差了2.81%所以我們這種薪資停滯的痛苦總和有沒有什麼高見這樣子是
transcript.whisperx[497].start 13186.339
transcript.whisperx[497].end 13200.157
transcript.whisperx[497].text 如果說我們的薪資停滯基本上這幾年來講相對前幾年來講的話我們現在的我知道 我知道我們科技又很好 但服務又不好是對啦 當然啦
transcript.whisperx[498].start 13201.538
transcript.whisperx[498].end 13227.351
transcript.whisperx[498].text 所以我們有廣大百分之七十幾的民眾是覺得跟我沒關係不好是相對的啦跟製造業來比較跟電子業來比較它是比較不好但是相較它還是我不耽誤其他的時間我想央行總裁也可以就這樣子的東西給我們一些見解最後這個我就請書面報告就是請這個財經公司的
transcript.whisperx[499].start 13229.352
transcript.whisperx[499].end 13245.898
transcript.whisperx[499].text 就是去年1月的質詢這一個過濾費15塊我想要知道進度如何再跟我提供書面報告好不好好謝謝謝謝謝謝委員謝謝洪委員再來請林楚瑜委員質詢林楚瑜委員林楚瑜委員不在
transcript.whisperx[500].start 13247.218
transcript.whisperx[500].end 13266.171
transcript.whisperx[500].text 請洪孟楷委員 洪孟楷委員 洪孟楷委員不在請林倩琦委員 林倩琦委員 林倩琦委員不在請陳冠廷委員 陳冠廷委員 陳冠廷委員不在請葉元芝委員 葉元芝委員 葉元芝委員不在本次會議做如下決定
transcript.whisperx[501].start 13273.701
transcript.whisperx[501].end 13299.533
transcript.whisperx[501].text 今日發言登記委員均已詢問完畢本次會議做如下決定一 報告局詢問完畢二 委員質詢會及答覆或請補充資訊請中央銀行於週內已書面答覆令委員另要求期限者從其所定本次會議議程已進行完畢堂友不在場委員補庭書面質詢一併列入紀錄刊登公報並請議事人員協助處理現在散會