iVOD / 16941

Field Value
IVOD_ID 16941
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16941
日期 2025-10-15
會議資料.會議代碼 委員會-11-4-20-2
會議資料.會議代碼:str 第11屆第4會期財政委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 2
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4會期財政委員會第2次全體委員會議
影片種類 Full
開始時間 2025-10-15T08:31:22+08:00
結束時間 2025-10-15T12:30:00+08:00
影片長度 03:58:38
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e81c79e81327dd8bc4f7cda26dcb539f8b5dbf79f23f633bb4a1e0f843dec76ce5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-10-15T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第2次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。 【10月13日、15日及16日三天一次會】)
委員名稱 完整會議
委員發言時間 08:31:22 - 12:30:00
transcript.pyannote[0].speaker SPEAKER_06
transcript.pyannote[0].start 1725.16221875
transcript.pyannote[0].end 1728.92534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1729.53284375
transcript.pyannote[1].end 1734.69659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 1735.28721875
transcript.pyannote[2].end 1739.26971875
transcript.pyannote[3].speaker SPEAKER_06
transcript.pyannote[3].start 1740.43409375
transcript.pyannote[3].end 1741.22721875
transcript.pyannote[4].speaker SPEAKER_06
transcript.pyannote[4].start 1743.06659375
transcript.pyannote[4].end 1747.31909375
transcript.pyannote[5].speaker SPEAKER_06
transcript.pyannote[5].start 1750.22159375
transcript.pyannote[5].end 1752.44909375
transcript.pyannote[6].speaker SPEAKER_06
transcript.pyannote[6].start 1756.63409375
transcript.pyannote[6].end 1764.75096875
transcript.pyannote[7].speaker SPEAKER_06
transcript.pyannote[7].start 1768.29471875
transcript.pyannote[7].end 1770.08346875
transcript.pyannote[8].speaker SPEAKER_06
transcript.pyannote[8].start 1772.42909375
transcript.pyannote[8].end 1774.58909375
transcript.pyannote[9].speaker SPEAKER_06
transcript.pyannote[9].start 1776.39471875
transcript.pyannote[9].end 1778.87534375
transcript.pyannote[10].speaker SPEAKER_06
transcript.pyannote[10].start 1780.09034375
transcript.pyannote[10].end 1782.73971875
transcript.pyannote[11].speaker SPEAKER_06
transcript.pyannote[11].start 1784.07284375
transcript.pyannote[11].end 1786.51971875
transcript.pyannote[12].speaker SPEAKER_06
transcript.pyannote[12].start 1787.61659375
transcript.pyannote[12].end 1791.00846875
transcript.pyannote[13].speaker SPEAKER_06
transcript.pyannote[13].start 1792.45971875
transcript.pyannote[13].end 1794.90659375
transcript.pyannote[14].speaker SPEAKER_06
transcript.pyannote[14].start 1796.22284375
transcript.pyannote[14].end 1798.36596875
transcript.pyannote[15].speaker SPEAKER_06
transcript.pyannote[15].start 1799.58096875
transcript.pyannote[15].end 1801.11659375
transcript.pyannote[16].speaker SPEAKER_06
transcript.pyannote[16].start 1801.43721875
transcript.pyannote[16].end 1802.16284375
transcript.pyannote[17].speaker SPEAKER_06
transcript.pyannote[17].start 1803.24284375
transcript.pyannote[17].end 1805.53784375
transcript.pyannote[18].speaker SPEAKER_06
transcript.pyannote[18].start 1806.71909375
transcript.pyannote[18].end 1808.49096875
transcript.pyannote[19].speaker SPEAKER_06
transcript.pyannote[19].start 1809.95909375
transcript.pyannote[19].end 1811.81534375
transcript.pyannote[20].speaker SPEAKER_06
transcript.pyannote[20].start 1813.90784375
transcript.pyannote[20].end 1816.65846875
transcript.pyannote[21].speaker SPEAKER_06
transcript.pyannote[21].start 1819.07159375
transcript.pyannote[21].end 1820.65784375
transcript.pyannote[22].speaker SPEAKER_06
transcript.pyannote[22].start 1822.32846875
transcript.pyannote[22].end 1824.53909375
transcript.pyannote[23].speaker SPEAKER_06
transcript.pyannote[23].start 1825.70346875
transcript.pyannote[23].end 1827.89721875
transcript.pyannote[24].speaker SPEAKER_06
transcript.pyannote[24].start 1829.02784375
transcript.pyannote[24].end 1831.17096875
transcript.pyannote[25].speaker SPEAKER_06
transcript.pyannote[25].start 1832.53784375
transcript.pyannote[25].end 1834.39409375
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 1835.49096875
transcript.pyannote[26].end 1837.48221875
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 1838.76471875
transcript.pyannote[27].end 1840.82346875
transcript.pyannote[28].speaker SPEAKER_06
transcript.pyannote[28].start 1842.61221875
transcript.pyannote[28].end 1844.63721875
transcript.pyannote[29].speaker SPEAKER_06
transcript.pyannote[29].start 1846.72971875
transcript.pyannote[29].end 1850.45909375
transcript.pyannote[30].speaker SPEAKER_06
transcript.pyannote[30].start 1851.94409375
transcript.pyannote[30].end 1854.93096875
transcript.pyannote[31].speaker SPEAKER_06
transcript.pyannote[31].start 1856.93909375
transcript.pyannote[31].end 1860.93846875
transcript.pyannote[32].speaker SPEAKER_06
transcript.pyannote[32].start 1862.30534375
transcript.pyannote[32].end 1864.61721875
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 1865.95034375
transcript.pyannote[33].end 1868.31284375
transcript.pyannote[34].speaker SPEAKER_06
transcript.pyannote[34].start 1869.35909375
transcript.pyannote[34].end 1872.22784375
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 1872.97034375
transcript.pyannote[35].end 1875.07971875
transcript.pyannote[36].speaker SPEAKER_06
transcript.pyannote[36].start 1878.20159375
transcript.pyannote[36].end 1880.76659375
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 1882.92659375
transcript.pyannote[37].end 1886.09909375
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 1887.83721875
transcript.pyannote[38].end 1891.06034375
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 1893.33846875
transcript.pyannote[39].end 1896.46034375
transcript.pyannote[40].speaker SPEAKER_06
transcript.pyannote[40].start 1897.82721875
transcript.pyannote[40].end 1900.52721875
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 1901.35409375
transcript.pyannote[41].end 1903.58159375
transcript.pyannote[42].speaker SPEAKER_06
transcript.pyannote[42].start 1904.56034375
transcript.pyannote[42].end 1906.70346875
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 1907.68221875
transcript.pyannote[43].end 1909.94346875
transcript.pyannote[44].speaker SPEAKER_06
transcript.pyannote[44].start 1911.66471875
transcript.pyannote[44].end 1913.90909375
transcript.pyannote[45].speaker SPEAKER_06
transcript.pyannote[45].start 1915.17471875
transcript.pyannote[45].end 1917.57096875
transcript.pyannote[46].speaker SPEAKER_06
transcript.pyannote[46].start 1919.22471875
transcript.pyannote[46].end 1921.38471875
transcript.pyannote[47].speaker SPEAKER_06
transcript.pyannote[47].start 1922.81909375
transcript.pyannote[47].end 1925.04659375
transcript.pyannote[48].speaker SPEAKER_06
transcript.pyannote[48].start 1926.36284375
transcript.pyannote[48].end 1928.69159375
transcript.pyannote[49].speaker SPEAKER_06
transcript.pyannote[49].start 1930.15971875
transcript.pyannote[49].end 1932.58971875
transcript.pyannote[50].speaker SPEAKER_06
transcript.pyannote[50].start 1934.07471875
transcript.pyannote[50].end 1936.30221875
transcript.pyannote[51].speaker SPEAKER_06
transcript.pyannote[51].start 1937.63534375
transcript.pyannote[51].end 1940.33534375
transcript.pyannote[52].speaker SPEAKER_06
transcript.pyannote[52].start 1940.84159375
transcript.pyannote[52].end 1943.18721875
transcript.pyannote[53].speaker SPEAKER_06
transcript.pyannote[53].start 1944.75659375
transcript.pyannote[53].end 1946.54534375
transcript.pyannote[54].speaker SPEAKER_06
transcript.pyannote[54].start 1947.69284375
transcript.pyannote[54].end 1949.83596875
transcript.pyannote[55].speaker SPEAKER_06
transcript.pyannote[55].start 1950.83159375
transcript.pyannote[55].end 1952.82284375
transcript.pyannote[56].speaker SPEAKER_06
transcript.pyannote[56].start 1954.25721875
transcript.pyannote[56].end 1956.28221875
transcript.pyannote[57].speaker SPEAKER_06
transcript.pyannote[57].start 1957.02471875
transcript.pyannote[57].end 1959.03284375
transcript.pyannote[58].speaker SPEAKER_06
transcript.pyannote[58].start 1960.19721875
transcript.pyannote[58].end 1962.28971875
transcript.pyannote[59].speaker SPEAKER_06
transcript.pyannote[59].start 1963.77471875
transcript.pyannote[59].end 1965.78284375
transcript.pyannote[60].speaker SPEAKER_06
transcript.pyannote[60].start 1968.83721875
transcript.pyannote[60].end 1973.74784375
transcript.pyannote[61].speaker SPEAKER_06
transcript.pyannote[61].start 1974.32159375
transcript.pyannote[61].end 1982.91096875
transcript.pyannote[62].speaker SPEAKER_20
transcript.pyannote[62].start 1988.34471875
transcript.pyannote[62].end 2012.59409375
transcript.pyannote[63].speaker SPEAKER_20
transcript.pyannote[63].start 2012.99909375
transcript.pyannote[63].end 2022.22971875
transcript.pyannote[64].speaker SPEAKER_20
transcript.pyannote[64].start 2022.71909375
transcript.pyannote[64].end 2088.95346875
transcript.pyannote[65].speaker SPEAKER_20
transcript.pyannote[65].start 2089.89846875
transcript.pyannote[65].end 2103.41534375
transcript.pyannote[66].speaker SPEAKER_20
transcript.pyannote[66].start 2104.12409375
transcript.pyannote[66].end 2120.30721875
transcript.pyannote[67].speaker SPEAKER_20
transcript.pyannote[67].start 2120.86409375
transcript.pyannote[67].end 2129.97659375
transcript.pyannote[68].speaker SPEAKER_20
transcript.pyannote[68].start 2130.55034375
transcript.pyannote[68].end 2143.08846875
transcript.pyannote[69].speaker SPEAKER_20
transcript.pyannote[69].start 2143.62846875
transcript.pyannote[69].end 2170.45971875
transcript.pyannote[70].speaker SPEAKER_20
transcript.pyannote[70].start 2173.31159375
transcript.pyannote[70].end 2245.28346875
transcript.pyannote[71].speaker SPEAKER_20
transcript.pyannote[71].start 2246.63346875
transcript.pyannote[71].end 2275.43909375
transcript.pyannote[72].speaker SPEAKER_20
transcript.pyannote[72].start 2275.60784375
transcript.pyannote[72].end 2292.01034375
transcript.pyannote[73].speaker SPEAKER_20
transcript.pyannote[73].start 2292.58409375
transcript.pyannote[73].end 2296.14471875
transcript.pyannote[74].speaker SPEAKER_20
transcript.pyannote[74].start 2296.87034375
transcript.pyannote[74].end 2299.60409375
transcript.pyannote[75].speaker SPEAKER_20
transcript.pyannote[75].start 2300.81909375
transcript.pyannote[75].end 2313.22221875
transcript.pyannote[76].speaker SPEAKER_20
transcript.pyannote[76].start 2313.66096875
transcript.pyannote[76].end 2322.57096875
transcript.pyannote[77].speaker SPEAKER_20
transcript.pyannote[77].start 2322.65534375
transcript.pyannote[77].end 2334.02909375
transcript.pyannote[78].speaker SPEAKER_20
transcript.pyannote[78].start 2334.50159375
transcript.pyannote[78].end 2341.08284375
transcript.pyannote[79].speaker SPEAKER_20
transcript.pyannote[79].start 2341.18409375
transcript.pyannote[79].end 2357.29971875
transcript.pyannote[80].speaker SPEAKER_20
transcript.pyannote[80].start 2357.55284375
transcript.pyannote[80].end 2364.35346875
transcript.pyannote[81].speaker SPEAKER_20
transcript.pyannote[81].start 2364.74159375
transcript.pyannote[81].end 2365.48409375
transcript.pyannote[82].speaker SPEAKER_20
transcript.pyannote[82].start 2366.02409375
transcript.pyannote[82].end 2424.73221875
transcript.pyannote[83].speaker SPEAKER_20
transcript.pyannote[83].start 2425.03596875
transcript.pyannote[83].end 2430.06471875
transcript.pyannote[84].speaker SPEAKER_20
transcript.pyannote[84].start 2430.65534375
transcript.pyannote[84].end 2471.76284375
transcript.pyannote[85].speaker SPEAKER_20
transcript.pyannote[85].start 2472.04971875
transcript.pyannote[85].end 2475.05346875
transcript.pyannote[86].speaker SPEAKER_20
transcript.pyannote[86].start 2476.52159375
transcript.pyannote[86].end 2477.04471875
transcript.pyannote[87].speaker SPEAKER_20
transcript.pyannote[87].start 2478.44534375
transcript.pyannote[87].end 2486.05596875
transcript.pyannote[88].speaker SPEAKER_20
transcript.pyannote[88].start 2486.81534375
transcript.pyannote[88].end 2488.50284375
transcript.pyannote[89].speaker SPEAKER_20
transcript.pyannote[89].start 2488.77284375
transcript.pyannote[89].end 2554.29846875
transcript.pyannote[90].speaker SPEAKER_06
transcript.pyannote[90].start 2555.44596875
transcript.pyannote[90].end 2564.40659375
transcript.pyannote[91].speaker SPEAKER_11
transcript.pyannote[91].start 2570.76846875
transcript.pyannote[91].end 2576.99534375
transcript.pyannote[92].speaker SPEAKER_11
transcript.pyannote[92].start 2577.28221875
transcript.pyannote[92].end 2589.49971875
transcript.pyannote[93].speaker SPEAKER_11
transcript.pyannote[93].start 2589.90471875
transcript.pyannote[93].end 2597.56596875
transcript.pyannote[94].speaker SPEAKER_11
transcript.pyannote[94].start 2598.94971875
transcript.pyannote[94].end 2602.66221875
transcript.pyannote[95].speaker SPEAKER_11
transcript.pyannote[95].start 2603.01659375
transcript.pyannote[95].end 2605.78409375
transcript.pyannote[96].speaker SPEAKER_11
transcript.pyannote[96].start 2606.40846875
transcript.pyannote[96].end 2607.04971875
transcript.pyannote[97].speaker SPEAKER_11
transcript.pyannote[97].start 2607.64034375
transcript.pyannote[97].end 2611.96034375
transcript.pyannote[98].speaker SPEAKER_11
transcript.pyannote[98].start 2612.34846875
transcript.pyannote[98].end 2621.84909375
transcript.pyannote[99].speaker SPEAKER_11
transcript.pyannote[99].start 2621.96721875
transcript.pyannote[99].end 2624.63346875
transcript.pyannote[100].speaker SPEAKER_11
transcript.pyannote[100].start 2625.03846875
transcript.pyannote[100].end 2628.51471875
transcript.pyannote[101].speaker SPEAKER_11
transcript.pyannote[101].start 2628.73409375
transcript.pyannote[101].end 2629.69596875
transcript.pyannote[102].speaker SPEAKER_11
transcript.pyannote[102].start 2630.37096875
transcript.pyannote[102].end 2635.06221875
transcript.pyannote[103].speaker SPEAKER_11
transcript.pyannote[103].start 2635.50096875
transcript.pyannote[103].end 2640.98534375
transcript.pyannote[104].speaker SPEAKER_11
transcript.pyannote[104].start 2644.39409375
transcript.pyannote[104].end 2661.30284375
transcript.pyannote[105].speaker SPEAKER_11
transcript.pyannote[105].start 2662.07909375
transcript.pyannote[105].end 2686.86846875
transcript.pyannote[106].speaker SPEAKER_11
transcript.pyannote[106].start 2688.25221875
transcript.pyannote[106].end 2695.62659375
transcript.pyannote[107].speaker SPEAKER_11
transcript.pyannote[107].start 2695.87971875
transcript.pyannote[107].end 2698.61346875
transcript.pyannote[108].speaker SPEAKER_11
transcript.pyannote[108].start 2698.98471875
transcript.pyannote[108].end 2714.91471875
transcript.pyannote[109].speaker SPEAKER_11
transcript.pyannote[109].start 2715.72471875
transcript.pyannote[109].end 2731.72221875
transcript.pyannote[110].speaker SPEAKER_11
transcript.pyannote[110].start 2732.14409375
transcript.pyannote[110].end 2732.63346875
transcript.pyannote[111].speaker SPEAKER_11
transcript.pyannote[111].start 2733.67971875
transcript.pyannote[111].end 2738.25284375
transcript.pyannote[112].speaker SPEAKER_11
transcript.pyannote[112].start 2740.09221875
transcript.pyannote[112].end 2741.18909375
transcript.pyannote[113].speaker SPEAKER_11
transcript.pyannote[113].start 2741.66159375
transcript.pyannote[113].end 2745.50909375
transcript.pyannote[114].speaker SPEAKER_11
transcript.pyannote[114].start 2746.43721875
transcript.pyannote[114].end 2747.46659375
transcript.pyannote[115].speaker SPEAKER_11
transcript.pyannote[115].start 2748.07409375
transcript.pyannote[115].end 2757.52409375
transcript.pyannote[116].speaker SPEAKER_11
transcript.pyannote[116].start 2758.28346875
transcript.pyannote[116].end 2760.51096875
transcript.pyannote[117].speaker SPEAKER_11
transcript.pyannote[117].start 2760.93284375
transcript.pyannote[117].end 2774.77034375
transcript.pyannote[118].speaker SPEAKER_11
transcript.pyannote[118].start 2775.07409375
transcript.pyannote[118].end 2805.51659375
transcript.pyannote[119].speaker SPEAKER_11
transcript.pyannote[119].start 2806.56284375
transcript.pyannote[119].end 2822.03721875
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 2822.03721875
transcript.pyannote[120].end 2822.66159375
transcript.pyannote[121].speaker SPEAKER_11
transcript.pyannote[121].start 2823.92721875
transcript.pyannote[121].end 2823.94409375
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 2823.94409375
transcript.pyannote[122].end 2825.91846875
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 2826.54284375
transcript.pyannote[123].end 2828.88846875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 2829.41159375
transcript.pyannote[124].end 2833.93409375
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 2834.13659375
transcript.pyannote[125].end 2836.44846875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 2836.78596875
transcript.pyannote[126].end 2839.28346875
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 2839.48596875
transcript.pyannote[127].end 2844.66659375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 2866.51971875
transcript.pyannote[128].end 2871.02534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 2871.34596875
transcript.pyannote[129].end 2873.94471875
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 2874.61971875
transcript.pyannote[130].end 2875.91909375
transcript.pyannote[131].speaker SPEAKER_20
transcript.pyannote[131].start 2879.96909375
transcript.pyannote[131].end 2880.67784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 2880.84659375
transcript.pyannote[132].end 2882.55096875
transcript.pyannote[133].speaker SPEAKER_20
transcript.pyannote[133].start 2882.39909375
transcript.pyannote[133].end 2882.77034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 2883.22596875
transcript.pyannote[134].end 2888.79471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 2889.11534375
transcript.pyannote[135].end 2897.65409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 2897.85659375
transcript.pyannote[136].end 2900.42159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 2902.48034375
transcript.pyannote[137].end 2908.92659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 2909.33159375
transcript.pyannote[138].end 2911.10346875
transcript.pyannote[139].speaker SPEAKER_20
transcript.pyannote[139].start 2911.77846875
transcript.pyannote[139].end 2914.56284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 2914.25909375
transcript.pyannote[140].end 2915.22096875
transcript.pyannote[141].speaker SPEAKER_20
transcript.pyannote[141].start 2914.84971875
transcript.pyannote[141].end 2915.50784375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 2915.23784375
transcript.pyannote[142].end 2915.25471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 2915.50784375
transcript.pyannote[143].end 2934.74534375
transcript.pyannote[144].speaker SPEAKER_20
transcript.pyannote[144].start 2935.96034375
transcript.pyannote[144].end 2960.96909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 2960.44596875
transcript.pyannote[145].end 2964.07409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 2964.27659375
transcript.pyannote[146].end 2965.79534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 2965.82909375
transcript.pyannote[147].end 2968.07346875
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 2968.29284375
transcript.pyannote[148].end 2972.57909375
transcript.pyannote[149].speaker SPEAKER_20
transcript.pyannote[149].start 2972.83221875
transcript.pyannote[149].end 2978.75534375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 2978.43471875
transcript.pyannote[150].end 2979.12659375
transcript.pyannote[151].speaker SPEAKER_20
transcript.pyannote[151].start 2979.22784375
transcript.pyannote[151].end 2979.58221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 2979.58221875
transcript.pyannote[152].end 2993.41971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 2993.70659375
transcript.pyannote[153].end 2994.22971875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 2994.61784375
transcript.pyannote[154].end 3009.58596875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 3009.82221875
transcript.pyannote[155].end 3017.60159375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 3018.29346875
transcript.pyannote[156].end 3021.26346875
transcript.pyannote[157].speaker SPEAKER_20
transcript.pyannote[157].start 3022.73159375
transcript.pyannote[157].end 3031.43909375
transcript.pyannote[158].speaker SPEAKER_20
transcript.pyannote[158].start 3031.60784375
transcript.pyannote[158].end 3046.08659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 3046.86284375
transcript.pyannote[159].end 3061.05471875
transcript.pyannote[160].speaker SPEAKER_20
transcript.pyannote[160].start 3061.47659375
transcript.pyannote[160].end 3077.96346875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 3078.57096875
transcript.pyannote[161].end 3079.27971875
transcript.pyannote[162].speaker SPEAKER_20
transcript.pyannote[162].start 3079.27971875
transcript.pyannote[162].end 3080.00534375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 3079.36409375
transcript.pyannote[163].end 3080.35971875
transcript.pyannote[164].speaker SPEAKER_20
transcript.pyannote[164].start 3080.25846875
transcript.pyannote[164].end 3080.74784375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 3080.86596875
transcript.pyannote[165].end 3113.68784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 3114.00846875
transcript.pyannote[166].end 3115.61159375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 3116.38784375
transcript.pyannote[167].end 3116.89409375
transcript.pyannote[168].speaker SPEAKER_20
transcript.pyannote[168].start 3117.41721875
transcript.pyannote[168].end 3126.51284375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 3121.18034375
transcript.pyannote[169].end 3121.73721875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 3126.22596875
transcript.pyannote[170].end 3128.33534375
transcript.pyannote[171].speaker SPEAKER_20
transcript.pyannote[171].start 3128.48721875
transcript.pyannote[171].end 3150.84659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 3151.15034375
transcript.pyannote[172].end 3169.13909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 3169.49346875
transcript.pyannote[173].end 3170.35409375
transcript.pyannote[174].speaker SPEAKER_20
transcript.pyannote[174].start 3170.35409375
transcript.pyannote[174].end 3171.55221875
transcript.pyannote[175].speaker SPEAKER_20
transcript.pyannote[175].start 3172.26096875
transcript.pyannote[175].end 3200.74596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 3200.99909375
transcript.pyannote[176].end 3201.84284375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 3202.16346875
transcript.pyannote[177].end 3202.93971875
transcript.pyannote[178].speaker SPEAKER_20
transcript.pyannote[178].start 3202.93971875
transcript.pyannote[178].end 3203.26034375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 3203.26034375
transcript.pyannote[179].end 3208.55909375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 3208.81221875
transcript.pyannote[180].end 3208.89659375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 3208.99784375
transcript.pyannote[181].end 3247.16909375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 3247.77659375
transcript.pyannote[182].end 3250.62846875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 3251.11784375
transcript.pyannote[183].end 3262.74471875
transcript.pyannote[184].speaker SPEAKER_20
transcript.pyannote[184].start 3262.99784375
transcript.pyannote[184].end 3285.22221875
transcript.pyannote[185].speaker SPEAKER_20
transcript.pyannote[185].start 3285.49221875
transcript.pyannote[185].end 3319.34346875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 3316.42409375
transcript.pyannote[186].end 3317.13284375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 3318.87096875
transcript.pyannote[187].end 3355.81034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 3356.73846875
transcript.pyannote[188].end 3363.10034375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 3363.35346875
transcript.pyannote[189].end 3364.73721875
transcript.pyannote[190].speaker SPEAKER_20
transcript.pyannote[190].start 3365.12534375
transcript.pyannote[190].end 3372.92159375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 3372.38159375
transcript.pyannote[191].end 3374.87909375
transcript.pyannote[192].speaker SPEAKER_20
transcript.pyannote[192].start 3374.89596875
transcript.pyannote[192].end 3379.70534375
transcript.pyannote[193].speaker SPEAKER_20
transcript.pyannote[193].start 3380.07659375
transcript.pyannote[193].end 3397.06971875
transcript.pyannote[194].speaker SPEAKER_19
transcript.pyannote[194].start 3388.44659375
transcript.pyannote[194].end 3388.71659375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 3396.68159375
transcript.pyannote[195].end 3401.65971875
transcript.pyannote[196].speaker SPEAKER_20
transcript.pyannote[196].start 3401.38971875
transcript.pyannote[196].end 3401.49096875
transcript.pyannote[197].speaker SPEAKER_09
transcript.pyannote[197].start 3401.49096875
transcript.pyannote[197].end 3401.50784375
transcript.pyannote[198].speaker SPEAKER_20
transcript.pyannote[198].start 3401.50784375
transcript.pyannote[198].end 3401.81159375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 3401.81159375
transcript.pyannote[199].end 3401.87909375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 3401.98034375
transcript.pyannote[200].end 3405.01784375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 3405.13596875
transcript.pyannote[201].end 3439.25721875
transcript.pyannote[202].speaker SPEAKER_09
transcript.pyannote[202].start 3406.28346875
transcript.pyannote[202].end 3406.62096875
transcript.pyannote[203].speaker SPEAKER_20
transcript.pyannote[203].start 3439.88159375
transcript.pyannote[203].end 3444.96096875
transcript.pyannote[204].speaker SPEAKER_20
transcript.pyannote[204].start 3445.19721875
transcript.pyannote[204].end 3450.39471875
transcript.pyannote[205].speaker SPEAKER_20
transcript.pyannote[205].start 3450.46221875
transcript.pyannote[205].end 3472.04534375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 3471.65721875
transcript.pyannote[206].end 3473.56409375
transcript.pyannote[207].speaker SPEAKER_20
transcript.pyannote[207].start 3473.51346875
transcript.pyannote[207].end 3473.53034375
transcript.pyannote[208].speaker SPEAKER_20
transcript.pyannote[208].start 3473.56409375
transcript.pyannote[208].end 3473.95221875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 3474.25596875
transcript.pyannote[209].end 3480.93846875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 3481.69784375
transcript.pyannote[210].end 3491.60346875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 3492.04221875
transcript.pyannote[211].end 3494.23596875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 3494.64096875
transcript.pyannote[212].end 3501.93096875
transcript.pyannote[213].speaker SPEAKER_20
transcript.pyannote[213].start 3503.07846875
transcript.pyannote[213].end 3504.88409375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 3504.58034375
transcript.pyannote[214].end 3511.24596875
transcript.pyannote[215].speaker SPEAKER_20
transcript.pyannote[215].start 3511.90409375
transcript.pyannote[215].end 3516.32534375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 3515.92034375
transcript.pyannote[216].end 3521.89409375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 3521.97846875
transcript.pyannote[217].end 3531.07409375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 3532.32284375
transcript.pyannote[218].end 3545.36721875
transcript.pyannote[219].speaker SPEAKER_06
transcript.pyannote[219].start 3546.27846875
transcript.pyannote[219].end 3549.85596875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 3560.67284375
transcript.pyannote[220].end 3561.85409375
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 3562.27596875
transcript.pyannote[221].end 3563.28846875
transcript.pyannote[222].speaker SPEAKER_06
transcript.pyannote[222].start 3563.79471875
transcript.pyannote[222].end 3564.94221875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 3568.77284375
transcript.pyannote[223].end 3569.02596875
transcript.pyannote[224].speaker SPEAKER_20
transcript.pyannote[224].start 3569.02596875
transcript.pyannote[224].end 3569.56596875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 3569.78534375
transcript.pyannote[225].end 3570.78096875
transcript.pyannote[226].speaker SPEAKER_20
transcript.pyannote[226].start 3570.64596875
transcript.pyannote[226].end 3570.76409375
transcript.pyannote[227].speaker SPEAKER_20
transcript.pyannote[227].start 3570.78096875
transcript.pyannote[227].end 3571.11846875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 3571.38846875
transcript.pyannote[228].end 3578.27346875
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 3578.64471875
transcript.pyannote[229].end 3578.74596875
transcript.pyannote[230].speaker SPEAKER_19
transcript.pyannote[230].start 3578.74596875
transcript.pyannote[230].end 3578.77971875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 3578.77971875
transcript.pyannote[231].end 3579.58971875
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 3579.89346875
transcript.pyannote[232].end 3580.75409375
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 3580.95659375
transcript.pyannote[233].end 3581.80034375
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 3582.17159375
transcript.pyannote[234].end 3583.70721875
transcript.pyannote[235].speaker SPEAKER_19
transcript.pyannote[235].start 3584.06159375
transcript.pyannote[235].end 3584.44971875
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 3585.09096875
transcript.pyannote[236].end 3585.71534375
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 3586.10346875
transcript.pyannote[237].end 3588.65159375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 3589.30971875
transcript.pyannote[238].end 3591.63846875
transcript.pyannote[239].speaker SPEAKER_08
transcript.pyannote[239].start 3591.58784375
transcript.pyannote[239].end 3592.07721875
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 3592.06034375
transcript.pyannote[240].end 3594.28784375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 3594.89534375
transcript.pyannote[241].end 3596.36346875
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 3596.95409375
transcript.pyannote[242].end 3598.01721875
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 3598.35471875
transcript.pyannote[243].end 3603.99096875
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 3605.02034375
transcript.pyannote[244].end 3606.38721875
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 3606.92721875
transcript.pyannote[245].end 3608.00721875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 3608.53034375
transcript.pyannote[246].end 3611.75346875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 3612.07409375
transcript.pyannote[247].end 3616.34346875
transcript.pyannote[248].speaker SPEAKER_19
transcript.pyannote[248].start 3616.34346875
transcript.pyannote[248].end 3616.74846875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 3617.94659375
transcript.pyannote[249].end 3622.04721875
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 3622.43534375
transcript.pyannote[250].end 3624.39284375
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 3625.01721875
transcript.pyannote[251].end 3633.20159375
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 3633.94409375
transcript.pyannote[252].end 3636.22221875
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 3636.72846875
transcript.pyannote[253].end 3640.28909375
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 3641.03159375
transcript.pyannote[254].end 3641.72346875
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 3642.28034375
transcript.pyannote[255].end 3644.08596875
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 3644.49096875
transcript.pyannote[256].end 3645.75659375
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 3646.12784375
transcript.pyannote[257].end 3648.01784375
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 3648.52409375
transcript.pyannote[258].end 3649.82346875
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 3650.07659375
transcript.pyannote[259].end 3650.66721875
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 3651.03846875
transcript.pyannote[260].end 3651.61221875
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 3652.30409375
transcript.pyannote[261].end 3654.00846875
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 3654.81846875
transcript.pyannote[262].end 3655.54409375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 3656.64096875
transcript.pyannote[263].end 3657.16409375
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 3658.98659375
transcript.pyannote[264].end 3660.53909375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 3661.34909375
transcript.pyannote[265].end 3662.19284375
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 3663.40784375
transcript.pyannote[266].end 3664.57221875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 3665.02784375
transcript.pyannote[267].end 3665.92221875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 3666.58034375
transcript.pyannote[268].end 3668.48721875
transcript.pyannote[269].speaker SPEAKER_08
transcript.pyannote[269].start 3668.48721875
transcript.pyannote[269].end 3668.84159375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 3668.84159375
transcript.pyannote[270].end 3670.20846875
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 3670.66409375
transcript.pyannote[271].end 3682.29096875
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 3683.08409375
transcript.pyannote[272].end 3684.13034375
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 3684.92346875
transcript.pyannote[273].end 3687.20159375
transcript.pyannote[274].speaker SPEAKER_20
transcript.pyannote[274].start 3687.20159375
transcript.pyannote[274].end 3687.43784375
transcript.pyannote[275].speaker SPEAKER_20
transcript.pyannote[275].start 3688.46721875
transcript.pyannote[275].end 3691.62284375
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 3692.01096875
transcript.pyannote[276].end 3693.74909375
transcript.pyannote[277].speaker SPEAKER_20
transcript.pyannote[277].start 3693.41159375
transcript.pyannote[277].end 3699.65534375
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 3699.16596875
transcript.pyannote[278].end 3704.02596875
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 3704.31284375
transcript.pyannote[279].end 3705.15659375
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 3705.96659375
transcript.pyannote[280].end 3706.40534375
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 3706.94534375
transcript.pyannote[281].end 3707.83971875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 3708.59909375
transcript.pyannote[282].end 3712.00784375
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 3712.73346875
transcript.pyannote[283].end 3713.79659375
transcript.pyannote[284].speaker SPEAKER_20
transcript.pyannote[284].start 3713.94846875
transcript.pyannote[284].end 3724.64721875
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 3724.12409375
transcript.pyannote[285].end 3730.21596875
transcript.pyannote[286].speaker SPEAKER_20
transcript.pyannote[286].start 3730.63784375
transcript.pyannote[286].end 3730.97534375
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 3731.41409375
transcript.pyannote[287].end 3732.19034375
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 3732.93284375
transcript.pyannote[288].end 3734.83971875
transcript.pyannote[289].speaker SPEAKER_20
transcript.pyannote[289].start 3734.95784375
transcript.pyannote[289].end 3735.39659375
transcript.pyannote[290].speaker SPEAKER_20
transcript.pyannote[290].start 3736.07159375
transcript.pyannote[290].end 3760.59096875
transcript.pyannote[291].speaker SPEAKER_20
transcript.pyannote[291].start 3760.97909375
transcript.pyannote[291].end 3776.63909375
transcript.pyannote[292].speaker SPEAKER_20
transcript.pyannote[292].start 3776.99346875
transcript.pyannote[292].end 3785.14409375
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 3783.59159375
transcript.pyannote[293].end 3783.87846875
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 3785.51534375
transcript.pyannote[294].end 3792.01221875
transcript.pyannote[295].speaker SPEAKER_08
transcript.pyannote[295].start 3790.02096875
transcript.pyannote[295].end 3790.54409375
transcript.pyannote[296].speaker SPEAKER_20
transcript.pyannote[296].start 3790.54409375
transcript.pyannote[296].end 3790.57784375
transcript.pyannote[297].speaker SPEAKER_05
transcript.pyannote[297].start 3792.38346875
transcript.pyannote[297].end 3811.16534375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 3805.47846875
transcript.pyannote[298].end 3805.49534375
transcript.pyannote[299].speaker SPEAKER_08
transcript.pyannote[299].start 3805.49534375
transcript.pyannote[299].end 3806.03534375
transcript.pyannote[300].speaker SPEAKER_08
transcript.pyannote[300].start 3810.01784375
transcript.pyannote[300].end 3810.15284375
transcript.pyannote[301].speaker SPEAKER_05
transcript.pyannote[301].start 3811.36784375
transcript.pyannote[301].end 3812.63346875
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 3813.07221875
transcript.pyannote[302].end 3817.96596875
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 3818.43846875
transcript.pyannote[303].end 3819.40034375
transcript.pyannote[304].speaker SPEAKER_05
transcript.pyannote[304].start 3820.07534375
transcript.pyannote[304].end 3821.52659375
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 3822.01596875
transcript.pyannote[305].end 3824.04096875
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 3824.44596875
transcript.pyannote[306].end 3825.03659375
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 3825.52596875
transcript.pyannote[307].end 3826.58909375
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 3827.07846875
transcript.pyannote[308].end 3829.71096875
transcript.pyannote[309].speaker SPEAKER_05
transcript.pyannote[309].start 3830.43659375
transcript.pyannote[309].end 3831.33096875
transcript.pyannote[310].speaker SPEAKER_05
transcript.pyannote[310].start 3832.15784375
transcript.pyannote[310].end 3835.26284375
transcript.pyannote[311].speaker SPEAKER_05
transcript.pyannote[311].start 3835.75221875
transcript.pyannote[311].end 3836.41034375
transcript.pyannote[312].speaker SPEAKER_05
transcript.pyannote[312].start 3837.08534375
transcript.pyannote[312].end 3838.45221875
transcript.pyannote[313].speaker SPEAKER_05
transcript.pyannote[313].start 3839.22846875
transcript.pyannote[313].end 3841.81034375
transcript.pyannote[314].speaker SPEAKER_05
transcript.pyannote[314].start 3842.43471875
transcript.pyannote[314].end 3845.01659375
transcript.pyannote[315].speaker SPEAKER_05
transcript.pyannote[315].start 3845.79284375
transcript.pyannote[315].end 3854.11221875
transcript.pyannote[316].speaker SPEAKER_05
transcript.pyannote[316].start 3854.55096875
transcript.pyannote[316].end 3857.48721875
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 3858.09471875
transcript.pyannote[317].end 3858.68534375
transcript.pyannote[318].speaker SPEAKER_05
transcript.pyannote[318].start 3859.10721875
transcript.pyannote[318].end 3864.72659375
transcript.pyannote[319].speaker SPEAKER_20
transcript.pyannote[319].start 3865.08096875
transcript.pyannote[319].end 3912.01034375
transcript.pyannote[320].speaker SPEAKER_05
transcript.pyannote[320].start 3911.67284375
transcript.pyannote[320].end 3914.74409375
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 3915.63846875
transcript.pyannote[321].end 3921.57846875
transcript.pyannote[322].speaker SPEAKER_20
transcript.pyannote[322].start 3917.22471875
transcript.pyannote[322].end 3917.74784375
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 3917.74784375
transcript.pyannote[323].end 3917.76471875
transcript.pyannote[324].speaker SPEAKER_20
transcript.pyannote[324].start 3918.32159375
transcript.pyannote[324].end 3918.79409375
transcript.pyannote[325].speaker SPEAKER_05
transcript.pyannote[325].start 3922.00034375
transcript.pyannote[325].end 3942.23346875
transcript.pyannote[326].speaker SPEAKER_05
transcript.pyannote[326].start 3942.60471875
transcript.pyannote[326].end 3952.42596875
transcript.pyannote[327].speaker SPEAKER_05
transcript.pyannote[327].start 3953.18534375
transcript.pyannote[327].end 3955.39596875
transcript.pyannote[328].speaker SPEAKER_05
transcript.pyannote[328].start 3955.63221875
transcript.pyannote[328].end 3956.99909375
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 3957.48846875
transcript.pyannote[329].end 3961.85909375
transcript.pyannote[330].speaker SPEAKER_05
transcript.pyannote[330].start 3962.51721875
transcript.pyannote[330].end 3966.48284375
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 3967.22534375
transcript.pyannote[331].end 3968.81159375
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 3969.57096875
transcript.pyannote[332].end 3972.08534375
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 3972.59159375
transcript.pyannote[333].end 3974.26221875
transcript.pyannote[334].speaker SPEAKER_05
transcript.pyannote[334].start 3974.76846875
transcript.pyannote[334].end 3976.21971875
transcript.pyannote[335].speaker SPEAKER_05
transcript.pyannote[335].start 3976.28721875
transcript.pyannote[335].end 3980.08409375
transcript.pyannote[336].speaker SPEAKER_05
transcript.pyannote[336].start 3980.79284375
transcript.pyannote[336].end 3982.75034375
transcript.pyannote[337].speaker SPEAKER_05
transcript.pyannote[337].start 3983.44221875
transcript.pyannote[337].end 3984.99471875
transcript.pyannote[338].speaker SPEAKER_05
transcript.pyannote[338].start 3986.58096875
transcript.pyannote[338].end 3994.25909375
transcript.pyannote[339].speaker SPEAKER_05
transcript.pyannote[339].start 3995.08596875
transcript.pyannote[339].end 3996.30096875
transcript.pyannote[340].speaker SPEAKER_05
transcript.pyannote[340].start 3997.14471875
transcript.pyannote[340].end 4011.33659375
transcript.pyannote[341].speaker SPEAKER_20
transcript.pyannote[341].start 4011.85971875
transcript.pyannote[341].end 4012.72034375
transcript.pyannote[342].speaker SPEAKER_05
transcript.pyannote[342].start 4012.07909375
transcript.pyannote[342].end 4014.00284375
transcript.pyannote[343].speaker SPEAKER_20
transcript.pyannote[343].start 4013.86784375
transcript.pyannote[343].end 4027.48596875
transcript.pyannote[344].speaker SPEAKER_05
transcript.pyannote[344].start 4024.88721875
transcript.pyannote[344].end 4025.66346875
transcript.pyannote[345].speaker SPEAKER_05
transcript.pyannote[345].start 4026.77721875
transcript.pyannote[345].end 4029.29159375
transcript.pyannote[346].speaker SPEAKER_20
transcript.pyannote[346].start 4029.20721875
transcript.pyannote[346].end 4029.78096875
transcript.pyannote[347].speaker SPEAKER_05
transcript.pyannote[347].start 4029.78096875
transcript.pyannote[347].end 4043.51721875
transcript.pyannote[348].speaker SPEAKER_05
transcript.pyannote[348].start 4044.41159375
transcript.pyannote[348].end 4047.68534375
transcript.pyannote[349].speaker SPEAKER_05
transcript.pyannote[349].start 4048.73159375
transcript.pyannote[349].end 4050.72284375
transcript.pyannote[350].speaker SPEAKER_20
transcript.pyannote[350].start 4051.31346875
transcript.pyannote[350].end 4052.73096875
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 4051.81971875
transcript.pyannote[351].end 4053.97971875
transcript.pyannote[352].speaker SPEAKER_20
transcript.pyannote[352].start 4054.09784375
transcript.pyannote[352].end 4056.57846875
transcript.pyannote[353].speaker SPEAKER_05
transcript.pyannote[353].start 4055.51534375
transcript.pyannote[353].end 4059.85221875
transcript.pyannote[354].speaker SPEAKER_20
transcript.pyannote[354].start 4057.00034375
transcript.pyannote[354].end 4057.30409375
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 4060.94909375
transcript.pyannote[355].end 4066.85534375
transcript.pyannote[356].speaker SPEAKER_05
transcript.pyannote[356].start 4067.47971875
transcript.pyannote[356].end 4069.72409375
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 4070.36534375
transcript.pyannote[357].end 4072.77846875
transcript.pyannote[358].speaker SPEAKER_09
transcript.pyannote[358].start 4072.94721875
transcript.pyannote[358].end 4073.21721875
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 4073.21721875
transcript.pyannote[359].end 4081.67159375
transcript.pyannote[360].speaker SPEAKER_09
transcript.pyannote[360].start 4073.25096875
transcript.pyannote[360].end 4073.30159375
transcript.pyannote[361].speaker SPEAKER_05
transcript.pyannote[361].start 4081.97534375
transcript.pyannote[361].end 4087.24034375
transcript.pyannote[362].speaker SPEAKER_20
transcript.pyannote[362].start 4087.18971875
transcript.pyannote[362].end 4119.04971875
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 4119.21846875
transcript.pyannote[363].end 4122.64409375
transcript.pyannote[364].speaker SPEAKER_20
transcript.pyannote[364].start 4121.95221875
transcript.pyannote[364].end 4122.30659375
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 4122.99846875
transcript.pyannote[365].end 4132.09409375
transcript.pyannote[366].speaker SPEAKER_08
transcript.pyannote[366].start 4125.56346875
transcript.pyannote[366].end 4125.58034375
transcript.pyannote[367].speaker SPEAKER_20
transcript.pyannote[367].start 4125.58034375
transcript.pyannote[367].end 4125.59721875
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 4132.00971875
transcript.pyannote[368].end 4132.02659375
transcript.pyannote[369].speaker SPEAKER_09
transcript.pyannote[369].start 4132.02659375
transcript.pyannote[369].end 4132.73534375
transcript.pyannote[370].speaker SPEAKER_05
transcript.pyannote[370].start 4132.73534375
transcript.pyannote[370].end 4140.46409375
transcript.pyannote[371].speaker SPEAKER_09
transcript.pyannote[371].start 4132.83659375
transcript.pyannote[371].end 4132.92096875
transcript.pyannote[372].speaker SPEAKER_05
transcript.pyannote[372].start 4140.97034375
transcript.pyannote[372].end 4147.26471875
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 4147.88909375
transcript.pyannote[373].end 4148.46284375
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 4148.69909375
transcript.pyannote[374].end 4159.39784375
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 4160.02221875
transcript.pyannote[375].end 4169.97846875
transcript.pyannote[376].speaker SPEAKER_18
transcript.pyannote[376].start 4167.81846875
transcript.pyannote[376].end 4168.54409375
transcript.pyannote[377].speaker SPEAKER_18
transcript.pyannote[377].start 4169.91096875
transcript.pyannote[377].end 4169.96159375
transcript.pyannote[378].speaker SPEAKER_18
transcript.pyannote[378].start 4169.97846875
transcript.pyannote[378].end 4170.23159375
transcript.pyannote[379].speaker SPEAKER_05
transcript.pyannote[379].start 4170.23159375
transcript.pyannote[379].end 4170.85596875
transcript.pyannote[380].speaker SPEAKER_18
transcript.pyannote[380].start 4170.26534375
transcript.pyannote[380].end 4171.02471875
transcript.pyannote[381].speaker SPEAKER_20
transcript.pyannote[381].start 4171.02471875
transcript.pyannote[381].end 4171.15971875
transcript.pyannote[382].speaker SPEAKER_18
transcript.pyannote[382].start 4171.15971875
transcript.pyannote[382].end 4171.17659375
transcript.pyannote[383].speaker SPEAKER_06
transcript.pyannote[383].start 4172.00346875
transcript.pyannote[383].end 4175.63159375
transcript.pyannote[384].speaker SPEAKER_02
transcript.pyannote[384].start 4186.07721875
transcript.pyannote[384].end 4188.03471875
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 4188.33846875
transcript.pyannote[385].end 4190.12721875
transcript.pyannote[386].speaker SPEAKER_06
transcript.pyannote[386].start 4190.73471875
transcript.pyannote[386].end 4192.00034375
transcript.pyannote[387].speaker SPEAKER_02
transcript.pyannote[387].start 4196.15159375
transcript.pyannote[387].end 4196.74221875
transcript.pyannote[388].speaker SPEAKER_02
transcript.pyannote[388].start 4197.14721875
transcript.pyannote[388].end 4197.55221875
transcript.pyannote[389].speaker SPEAKER_02
transcript.pyannote[389].start 4198.02471875
transcript.pyannote[389].end 4198.68284375
transcript.pyannote[390].speaker SPEAKER_02
transcript.pyannote[390].start 4199.12159375
transcript.pyannote[390].end 4200.64034375
transcript.pyannote[391].speaker SPEAKER_02
transcript.pyannote[391].start 4200.94409375
transcript.pyannote[391].end 4203.15471875
transcript.pyannote[392].speaker SPEAKER_20
transcript.pyannote[392].start 4203.45846875
transcript.pyannote[392].end 4211.05221875
transcript.pyannote[393].speaker SPEAKER_02
transcript.pyannote[393].start 4206.83346875
transcript.pyannote[393].end 4210.73159375
transcript.pyannote[394].speaker SPEAKER_02
transcript.pyannote[394].start 4210.90034375
transcript.pyannote[394].end 4212.46971875
transcript.pyannote[395].speaker SPEAKER_20
transcript.pyannote[395].start 4212.73971875
transcript.pyannote[395].end 4214.08971875
transcript.pyannote[396].speaker SPEAKER_02
transcript.pyannote[396].start 4213.09409375
transcript.pyannote[396].end 4223.48909375
transcript.pyannote[397].speaker SPEAKER_19
transcript.pyannote[397].start 4215.15284375
transcript.pyannote[397].end 4215.47346875
transcript.pyannote[398].speaker SPEAKER_20
transcript.pyannote[398].start 4219.81034375
transcript.pyannote[398].end 4220.56971875
transcript.pyannote[399].speaker SPEAKER_02
transcript.pyannote[399].start 4223.57346875
transcript.pyannote[399].end 4227.33659375
transcript.pyannote[400].speaker SPEAKER_20
transcript.pyannote[400].start 4227.33659375
transcript.pyannote[400].end 4227.70784375
transcript.pyannote[401].speaker SPEAKER_02
transcript.pyannote[401].start 4227.62346875
transcript.pyannote[401].end 4228.78784375
transcript.pyannote[402].speaker SPEAKER_20
transcript.pyannote[402].start 4229.53034375
transcript.pyannote[402].end 4233.12471875
transcript.pyannote[403].speaker SPEAKER_20
transcript.pyannote[403].start 4233.14159375
transcript.pyannote[403].end 4233.15846875
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 4233.15846875
transcript.pyannote[404].end 4237.44471875
transcript.pyannote[405].speaker SPEAKER_20
transcript.pyannote[405].start 4233.85034375
transcript.pyannote[405].end 4233.93471875
transcript.pyannote[406].speaker SPEAKER_20
transcript.pyannote[406].start 4234.05284375
transcript.pyannote[406].end 4234.10346875
transcript.pyannote[407].speaker SPEAKER_20
transcript.pyannote[407].start 4237.47846875
transcript.pyannote[407].end 4248.31221875
transcript.pyannote[408].speaker SPEAKER_02
transcript.pyannote[408].start 4241.42721875
transcript.pyannote[408].end 4242.11909375
transcript.pyannote[409].speaker SPEAKER_02
transcript.pyannote[409].start 4242.23721875
transcript.pyannote[409].end 4242.30471875
transcript.pyannote[410].speaker SPEAKER_02
transcript.pyannote[410].start 4243.50284375
transcript.pyannote[410].end 4243.85721875
transcript.pyannote[411].speaker SPEAKER_02
transcript.pyannote[411].start 4247.97471875
transcript.pyannote[411].end 4251.53534375
transcript.pyannote[412].speaker SPEAKER_20
transcript.pyannote[412].start 4251.87284375
transcript.pyannote[412].end 4254.47159375
transcript.pyannote[413].speaker SPEAKER_02
transcript.pyannote[413].start 4253.37471875
transcript.pyannote[413].end 4257.62721875
transcript.pyannote[414].speaker SPEAKER_20
transcript.pyannote[414].start 4257.94784375
transcript.pyannote[414].end 4260.86721875
transcript.pyannote[415].speaker SPEAKER_02
transcript.pyannote[415].start 4260.98534375
transcript.pyannote[415].end 4261.37346875
transcript.pyannote[416].speaker SPEAKER_20
transcript.pyannote[416].start 4261.03596875
transcript.pyannote[416].end 4261.33971875
transcript.pyannote[417].speaker SPEAKER_20
transcript.pyannote[417].start 4261.37346875
transcript.pyannote[417].end 4261.54221875
transcript.pyannote[418].speaker SPEAKER_20
transcript.pyannote[418].start 4262.04846875
transcript.pyannote[418].end 4266.99284375
transcript.pyannote[419].speaker SPEAKER_02
transcript.pyannote[419].start 4265.11971875
transcript.pyannote[419].end 4266.41909375
transcript.pyannote[420].speaker SPEAKER_02
transcript.pyannote[420].start 4267.58346875
transcript.pyannote[420].end 4270.13159375
transcript.pyannote[421].speaker SPEAKER_20
transcript.pyannote[421].start 4270.68846875
transcript.pyannote[421].end 4275.07596875
transcript.pyannote[422].speaker SPEAKER_02
transcript.pyannote[422].start 4272.91596875
transcript.pyannote[422].end 4277.20221875
transcript.pyannote[423].speaker SPEAKER_20
transcript.pyannote[423].start 4277.79284375
transcript.pyannote[423].end 4278.90659375
transcript.pyannote[424].speaker SPEAKER_02
transcript.pyannote[424].start 4279.49721875
transcript.pyannote[424].end 4280.79659375
transcript.pyannote[425].speaker SPEAKER_20
transcript.pyannote[425].start 4279.59846875
transcript.pyannote[425].end 4280.03721875
transcript.pyannote[426].speaker SPEAKER_20
transcript.pyannote[426].start 4280.49284375
transcript.pyannote[426].end 4285.25159375
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 4283.20971875
transcript.pyannote[427].end 4284.17159375
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 4285.30221875
transcript.pyannote[428].end 4288.62659375
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 4288.82909375
transcript.pyannote[429].end 4290.24659375
transcript.pyannote[430].speaker SPEAKER_02
transcript.pyannote[430].start 4290.65159375
transcript.pyannote[430].end 4293.80721875
transcript.pyannote[431].speaker SPEAKER_02
transcript.pyannote[431].start 4294.65096875
transcript.pyannote[431].end 4300.89471875
transcript.pyannote[432].speaker SPEAKER_20
transcript.pyannote[432].start 4300.47284375
transcript.pyannote[432].end 4300.60784375
transcript.pyannote[433].speaker SPEAKER_20
transcript.pyannote[433].start 4300.62471875
transcript.pyannote[433].end 4300.72596875
transcript.pyannote[434].speaker SPEAKER_20
transcript.pyannote[434].start 4301.35034375
transcript.pyannote[434].end 4304.10096875
transcript.pyannote[435].speaker SPEAKER_02
transcript.pyannote[435].start 4301.75534375
transcript.pyannote[435].end 4309.33221875
transcript.pyannote[436].speaker SPEAKER_20
transcript.pyannote[436].start 4309.43346875
transcript.pyannote[436].end 4354.03409375
transcript.pyannote[437].speaker SPEAKER_02
transcript.pyannote[437].start 4324.43534375
transcript.pyannote[437].end 4324.85721875
transcript.pyannote[438].speaker SPEAKER_00
transcript.pyannote[438].start 4324.85721875
transcript.pyannote[438].end 4325.00909375
transcript.pyannote[439].speaker SPEAKER_00
transcript.pyannote[439].start 4325.56596875
transcript.pyannote[439].end 4325.61659375
transcript.pyannote[440].speaker SPEAKER_18
transcript.pyannote[440].start 4325.61659375
transcript.pyannote[440].end 4328.01284375
transcript.pyannote[441].speaker SPEAKER_02
transcript.pyannote[441].start 4352.02596875
transcript.pyannote[441].end 4356.24471875
transcript.pyannote[442].speaker SPEAKER_20
transcript.pyannote[442].start 4356.64971875
transcript.pyannote[442].end 4361.05409375
transcript.pyannote[443].speaker SPEAKER_02
transcript.pyannote[443].start 4358.16846875
transcript.pyannote[443].end 4359.43409375
transcript.pyannote[444].speaker SPEAKER_02
transcript.pyannote[444].start 4360.21034375
transcript.pyannote[444].end 4362.40409375
transcript.pyannote[445].speaker SPEAKER_20
transcript.pyannote[445].start 4362.40409375
transcript.pyannote[445].end 4365.03659375
transcript.pyannote[446].speaker SPEAKER_02
transcript.pyannote[446].start 4363.99034375
transcript.pyannote[446].end 4364.37846875
transcript.pyannote[447].speaker SPEAKER_02
transcript.pyannote[447].start 4365.20534375
transcript.pyannote[447].end 4370.99346875
transcript.pyannote[448].speaker SPEAKER_02
transcript.pyannote[448].start 4371.36471875
transcript.pyannote[448].end 4374.31784375
transcript.pyannote[449].speaker SPEAKER_20
transcript.pyannote[449].start 4373.96346875
transcript.pyannote[449].end 4374.18284375
transcript.pyannote[450].speaker SPEAKER_20
transcript.pyannote[450].start 4374.31784375
transcript.pyannote[450].end 4381.91159375
transcript.pyannote[451].speaker SPEAKER_02
transcript.pyannote[451].start 4379.38034375
transcript.pyannote[451].end 4380.22409375
transcript.pyannote[452].speaker SPEAKER_20
transcript.pyannote[452].start 4382.28284375
transcript.pyannote[452].end 4386.31596875
transcript.pyannote[453].speaker SPEAKER_02
transcript.pyannote[453].start 4384.40909375
transcript.pyannote[453].end 4384.89846875
transcript.pyannote[454].speaker SPEAKER_02
transcript.pyannote[454].start 4385.94471875
transcript.pyannote[454].end 4388.10471875
transcript.pyannote[455].speaker SPEAKER_20
transcript.pyannote[455].start 4387.49721875
transcript.pyannote[455].end 4388.25659375
transcript.pyannote[456].speaker SPEAKER_02
transcript.pyannote[456].start 4389.72471875
transcript.pyannote[456].end 4395.32721875
transcript.pyannote[457].speaker SPEAKER_02
transcript.pyannote[457].start 4396.12034375
transcript.pyannote[457].end 4396.67721875
transcript.pyannote[458].speaker SPEAKER_02
transcript.pyannote[458].start 4397.23409375
transcript.pyannote[458].end 4398.60096875
transcript.pyannote[459].speaker SPEAKER_02
transcript.pyannote[459].start 4399.19159375
transcript.pyannote[459].end 4399.98471875
transcript.pyannote[460].speaker SPEAKER_02
transcript.pyannote[460].start 4400.13659375
transcript.pyannote[460].end 4402.98846875
transcript.pyannote[461].speaker SPEAKER_02
transcript.pyannote[461].start 4403.37659375
transcript.pyannote[461].end 4406.00909375
transcript.pyannote[462].speaker SPEAKER_20
transcript.pyannote[462].start 4406.80221875
transcript.pyannote[462].end 4409.13096875
transcript.pyannote[463].speaker SPEAKER_02
transcript.pyannote[463].start 4408.05096875
transcript.pyannote[463].end 4410.48096875
transcript.pyannote[464].speaker SPEAKER_20
transcript.pyannote[464].start 4410.75096875
transcript.pyannote[464].end 4417.23096875
transcript.pyannote[465].speaker SPEAKER_02
transcript.pyannote[465].start 4413.70409375
transcript.pyannote[465].end 4414.31159375
transcript.pyannote[466].speaker SPEAKER_02
transcript.pyannote[466].start 4416.62346875
transcript.pyannote[466].end 4419.23909375
transcript.pyannote[467].speaker SPEAKER_20
transcript.pyannote[467].start 4418.51346875
transcript.pyannote[467].end 4422.15846875
transcript.pyannote[468].speaker SPEAKER_02
transcript.pyannote[468].start 4421.50034375
transcript.pyannote[468].end 4422.49596875
transcript.pyannote[469].speaker SPEAKER_20
transcript.pyannote[469].start 4422.76596875
transcript.pyannote[469].end 4428.19971875
transcript.pyannote[470].speaker SPEAKER_02
transcript.pyannote[470].start 4428.23346875
transcript.pyannote[470].end 4429.81971875
transcript.pyannote[471].speaker SPEAKER_20
transcript.pyannote[471].start 4428.84096875
transcript.pyannote[471].end 4430.49471875
transcript.pyannote[472].speaker SPEAKER_02
transcript.pyannote[472].start 4429.98846875
transcript.pyannote[472].end 4432.60409375
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 4432.89096875
transcript.pyannote[473].end 4435.60784375
transcript.pyannote[474].speaker SPEAKER_20
transcript.pyannote[474].start 4436.78909375
transcript.pyannote[474].end 4438.32471875
transcript.pyannote[475].speaker SPEAKER_02
transcript.pyannote[475].start 4437.90284375
transcript.pyannote[475].end 4438.81409375
transcript.pyannote[476].speaker SPEAKER_20
transcript.pyannote[476].start 4438.99971875
transcript.pyannote[476].end 4441.56471875
transcript.pyannote[477].speaker SPEAKER_02
transcript.pyannote[477].start 4440.85596875
transcript.pyannote[477].end 4444.87221875
transcript.pyannote[478].speaker SPEAKER_20
transcript.pyannote[478].start 4444.43346875
transcript.pyannote[478].end 4445.58096875
transcript.pyannote[479].speaker SPEAKER_02
transcript.pyannote[479].start 4445.58096875
transcript.pyannote[479].end 4448.82096875
transcript.pyannote[480].speaker SPEAKER_20
transcript.pyannote[480].start 4445.59784375
transcript.pyannote[480].end 4446.28971875
transcript.pyannote[481].speaker SPEAKER_02
transcript.pyannote[481].start 4449.32721875
transcript.pyannote[481].end 4471.97346875
transcript.pyannote[482].speaker SPEAKER_20
transcript.pyannote[482].start 4471.45034375
transcript.pyannote[482].end 4489.97909375
transcript.pyannote[483].speaker SPEAKER_02
transcript.pyannote[483].start 4472.86784375
transcript.pyannote[483].end 4473.50909375
transcript.pyannote[484].speaker SPEAKER_02
transcript.pyannote[484].start 4479.71909375
transcript.pyannote[484].end 4479.80346875
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 4479.88784375
transcript.pyannote[485].end 4479.90471875
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 4480.14096875
transcript.pyannote[486].end 4481.45721875
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 4489.97909375
transcript.pyannote[487].end 4494.58596875
transcript.pyannote[488].speaker SPEAKER_02
transcript.pyannote[488].start 4495.29471875
transcript.pyannote[488].end 4503.83346875
transcript.pyannote[489].speaker SPEAKER_02
transcript.pyannote[489].start 4504.37346875
transcript.pyannote[489].end 4515.73034375
transcript.pyannote[490].speaker SPEAKER_20
transcript.pyannote[490].start 4514.17784375
transcript.pyannote[490].end 4518.97034375
transcript.pyannote[491].speaker SPEAKER_02
transcript.pyannote[491].start 4517.70471875
transcript.pyannote[491].end 4521.41721875
transcript.pyannote[492].speaker SPEAKER_20
transcript.pyannote[492].start 4520.48909375
transcript.pyannote[492].end 4524.45471875
transcript.pyannote[493].speaker SPEAKER_02
transcript.pyannote[493].start 4522.24409375
transcript.pyannote[493].end 4524.72471875
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 4525.28159375
transcript.pyannote[494].end 4537.83659375
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 4538.29221875
transcript.pyannote[495].end 4539.77721875
transcript.pyannote[496].speaker SPEAKER_02
transcript.pyannote[496].start 4539.79409375
transcript.pyannote[496].end 4547.69159375
transcript.pyannote[497].speaker SPEAKER_02
transcript.pyannote[497].start 4548.13034375
transcript.pyannote[497].end 4549.58159375
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 4550.32409375
transcript.pyannote[498].end 4558.50846875
transcript.pyannote[499].speaker SPEAKER_02
transcript.pyannote[499].start 4559.82471875
transcript.pyannote[499].end 4564.71846875
transcript.pyannote[500].speaker SPEAKER_02
transcript.pyannote[500].start 4565.17409375
transcript.pyannote[500].end 4566.16971875
transcript.pyannote[501].speaker SPEAKER_02
transcript.pyannote[501].start 4566.54096875
transcript.pyannote[501].end 4568.49846875
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 4569.44346875
transcript.pyannote[502].end 4570.32096875
transcript.pyannote[503].speaker SPEAKER_19
transcript.pyannote[503].start 4570.37159375
transcript.pyannote[503].end 4570.81034375
transcript.pyannote[504].speaker SPEAKER_02
transcript.pyannote[504].start 4570.81034375
transcript.pyannote[504].end 4571.21534375
transcript.pyannote[505].speaker SPEAKER_20
transcript.pyannote[505].start 4572.02534375
transcript.pyannote[505].end 4572.29534375
transcript.pyannote[506].speaker SPEAKER_02
transcript.pyannote[506].start 4572.46409375
transcript.pyannote[506].end 4573.00409375
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 4573.91534375
transcript.pyannote[507].end 4574.80971875
transcript.pyannote[508].speaker SPEAKER_02
transcript.pyannote[508].start 4574.89409375
transcript.pyannote[508].end 4575.58596875
transcript.pyannote[509].speaker SPEAKER_20
transcript.pyannote[509].start 4577.17221875
transcript.pyannote[509].end 4582.26846875
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 4580.74971875
transcript.pyannote[510].end 4581.25596875
transcript.pyannote[511].speaker SPEAKER_20
transcript.pyannote[511].start 4582.60596875
transcript.pyannote[511].end 4583.56784375
transcript.pyannote[512].speaker SPEAKER_20
transcript.pyannote[512].start 4583.95596875
transcript.pyannote[512].end 4587.46596875
transcript.pyannote[513].speaker SPEAKER_02
transcript.pyannote[513].start 4586.57159375
transcript.pyannote[513].end 4589.30534375
transcript.pyannote[514].speaker SPEAKER_20
transcript.pyannote[514].start 4589.86221875
transcript.pyannote[514].end 4592.71409375
transcript.pyannote[515].speaker SPEAKER_20
transcript.pyannote[515].start 4593.30471875
transcript.pyannote[515].end 4594.21596875
transcript.pyannote[516].speaker SPEAKER_20
transcript.pyannote[516].start 4594.67159375
transcript.pyannote[516].end 4599.93659375
transcript.pyannote[517].speaker SPEAKER_02
transcript.pyannote[517].start 4599.32909375
transcript.pyannote[517].end 4600.96596875
transcript.pyannote[518].speaker SPEAKER_02
transcript.pyannote[518].start 4601.57346875
transcript.pyannote[518].end 4605.13409375
transcript.pyannote[519].speaker SPEAKER_20
transcript.pyannote[519].start 4605.21846875
transcript.pyannote[519].end 4605.77534375
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 4605.77534375
transcript.pyannote[520].end 4607.04096875
transcript.pyannote[521].speaker SPEAKER_20
transcript.pyannote[521].start 4607.69909375
transcript.pyannote[521].end 4616.37284375
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 4616.77784375
transcript.pyannote[522].end 4618.44846875
transcript.pyannote[523].speaker SPEAKER_20
transcript.pyannote[523].start 4617.14909375
transcript.pyannote[523].end 4618.41471875
transcript.pyannote[524].speaker SPEAKER_20
transcript.pyannote[524].start 4618.58346875
transcript.pyannote[524].end 4633.68659375
transcript.pyannote[525].speaker SPEAKER_02
transcript.pyannote[525].start 4620.15284375
transcript.pyannote[525].end 4621.80659375
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 4633.83846875
transcript.pyannote[526].end 4637.33159375
transcript.pyannote[527].speaker SPEAKER_20
transcript.pyannote[527].start 4637.63534375
transcript.pyannote[527].end 4642.14096875
transcript.pyannote[528].speaker SPEAKER_02
transcript.pyannote[528].start 4641.01034375
transcript.pyannote[528].end 4641.41534375
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 4642.14096875
transcript.pyannote[529].end 4643.57534375
transcript.pyannote[530].speaker SPEAKER_20
transcript.pyannote[530].start 4643.84534375
transcript.pyannote[530].end 4647.27096875
transcript.pyannote[531].speaker SPEAKER_02
transcript.pyannote[531].start 4645.48221875
transcript.pyannote[531].end 4648.68846875
transcript.pyannote[532].speaker SPEAKER_20
transcript.pyannote[532].start 4648.75596875
transcript.pyannote[532].end 4651.57409375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 4650.79784375
transcript.pyannote[533].end 4653.56534375
transcript.pyannote[534].speaker SPEAKER_02
transcript.pyannote[534].start 4657.15971875
transcript.pyannote[534].end 4658.02034375
transcript.pyannote[535].speaker SPEAKER_11
transcript.pyannote[535].start 4662.49221875
transcript.pyannote[535].end 4662.50909375
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 4662.50909375
transcript.pyannote[536].end 4663.04909375
transcript.pyannote[537].speaker SPEAKER_11
transcript.pyannote[537].start 4662.52596875
transcript.pyannote[537].end 4663.52159375
transcript.pyannote[538].speaker SPEAKER_02
transcript.pyannote[538].start 4663.52159375
transcript.pyannote[538].end 4663.57221875
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 4663.75784375
transcript.pyannote[539].end 4668.60096875
transcript.pyannote[540].speaker SPEAKER_11
transcript.pyannote[540].start 4664.21346875
transcript.pyannote[540].end 4664.65221875
transcript.pyannote[541].speaker SPEAKER_11
transcript.pyannote[541].start 4666.27221875
transcript.pyannote[541].end 4667.53784375
transcript.pyannote[542].speaker SPEAKER_11
transcript.pyannote[542].start 4667.95971875
transcript.pyannote[542].end 4668.06096875
transcript.pyannote[543].speaker SPEAKER_11
transcript.pyannote[543].start 4668.82034375
transcript.pyannote[543].end 4669.03971875
transcript.pyannote[544].speaker SPEAKER_02
transcript.pyannote[544].start 4669.03971875
transcript.pyannote[544].end 4670.57534375
transcript.pyannote[545].speaker SPEAKER_02
transcript.pyannote[545].start 4670.79471875
transcript.pyannote[545].end 4672.26284375
transcript.pyannote[546].speaker SPEAKER_02
transcript.pyannote[546].start 4673.22471875
transcript.pyannote[546].end 4677.96659375
transcript.pyannote[547].speaker SPEAKER_02
transcript.pyannote[547].start 4678.45596875
transcript.pyannote[547].end 4680.10971875
transcript.pyannote[548].speaker SPEAKER_02
transcript.pyannote[548].start 4680.86909375
transcript.pyannote[548].end 4683.94034375
transcript.pyannote[549].speaker SPEAKER_02
transcript.pyannote[549].start 4684.39596875
transcript.pyannote[549].end 4685.10471875
transcript.pyannote[550].speaker SPEAKER_02
transcript.pyannote[550].start 4685.34096875
transcript.pyannote[550].end 4685.98221875
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 4686.45471875
transcript.pyannote[551].end 4686.85971875
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 4687.06221875
transcript.pyannote[552].end 4689.99846875
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 4690.70721875
transcript.pyannote[553].end 4693.45784375
transcript.pyannote[554].speaker SPEAKER_02
transcript.pyannote[554].start 4693.99784375
transcript.pyannote[554].end 4696.09034375
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 4696.86659375
transcript.pyannote[555].end 4699.39784375
transcript.pyannote[556].speaker SPEAKER_02
transcript.pyannote[556].start 4700.03909375
transcript.pyannote[556].end 4700.42721875
transcript.pyannote[557].speaker SPEAKER_02
transcript.pyannote[557].start 4700.91659375
transcript.pyannote[557].end 4701.28784375
transcript.pyannote[558].speaker SPEAKER_02
transcript.pyannote[558].start 4701.89534375
transcript.pyannote[558].end 4705.72596875
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 4706.53596875
transcript.pyannote[559].end 4710.33284375
transcript.pyannote[560].speaker SPEAKER_02
transcript.pyannote[560].start 4710.78846875
transcript.pyannote[560].end 4714.87221875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 4715.56409375
transcript.pyannote[561].end 4716.27284375
transcript.pyannote[562].speaker SPEAKER_02
transcript.pyannote[562].start 4717.04909375
transcript.pyannote[562].end 4719.66471875
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 4720.00221875
transcript.pyannote[563].end 4721.08221875
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 4721.47034375
transcript.pyannote[564].end 4723.57971875
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 4724.44034375
transcript.pyannote[565].end 4725.04784375
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 4725.26721875
transcript.pyannote[566].end 4726.88721875
transcript.pyannote[567].speaker SPEAKER_02
transcript.pyannote[567].start 4727.93346875
transcript.pyannote[567].end 4728.64221875
transcript.pyannote[568].speaker SPEAKER_02
transcript.pyannote[568].start 4728.89534375
transcript.pyannote[568].end 4732.15221875
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 4732.96221875
transcript.pyannote[569].end 4734.85221875
transcript.pyannote[570].speaker SPEAKER_02
transcript.pyannote[570].start 4734.93659375
transcript.pyannote[570].end 4742.58096875
transcript.pyannote[571].speaker SPEAKER_02
transcript.pyannote[571].start 4743.34034375
transcript.pyannote[571].end 4750.63034375
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 4751.13659375
transcript.pyannote[572].end 4759.54034375
transcript.pyannote[573].speaker SPEAKER_02
transcript.pyannote[573].start 4759.86096875
transcript.pyannote[573].end 4760.62034375
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 4761.19409375
transcript.pyannote[574].end 4767.53909375
transcript.pyannote[575].speaker SPEAKER_02
transcript.pyannote[575].start 4767.89346875
transcript.pyannote[575].end 4769.90159375
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 4770.77909375
transcript.pyannote[576].end 4779.38534375
transcript.pyannote[577].speaker SPEAKER_02
transcript.pyannote[577].start 4773.73221875
transcript.pyannote[577].end 4774.37346875
transcript.pyannote[578].speaker SPEAKER_11
transcript.pyannote[578].start 4779.75659375
transcript.pyannote[578].end 4780.06034375
transcript.pyannote[579].speaker SPEAKER_02
transcript.pyannote[579].start 4780.49909375
transcript.pyannote[579].end 4782.18659375
transcript.pyannote[580].speaker SPEAKER_11
transcript.pyannote[580].start 4782.18659375
transcript.pyannote[580].end 4782.28784375
transcript.pyannote[581].speaker SPEAKER_11
transcript.pyannote[581].start 4782.33846875
transcript.pyannote[581].end 4796.24346875
transcript.pyannote[582].speaker SPEAKER_02
transcript.pyannote[582].start 4795.50096875
transcript.pyannote[582].end 4796.02409375
transcript.pyannote[583].speaker SPEAKER_11
transcript.pyannote[583].start 4796.56409375
transcript.pyannote[583].end 4796.90159375
transcript.pyannote[584].speaker SPEAKER_02
transcript.pyannote[584].start 4796.98596875
transcript.pyannote[584].end 4798.82534375
transcript.pyannote[585].speaker SPEAKER_11
transcript.pyannote[585].start 4798.09971875
transcript.pyannote[585].end 4811.29596875
transcript.pyannote[586].speaker SPEAKER_02
transcript.pyannote[586].start 4809.47346875
transcript.pyannote[586].end 4819.05846875
transcript.pyannote[587].speaker SPEAKER_11
transcript.pyannote[587].start 4819.39596875
transcript.pyannote[587].end 4841.41784375
transcript.pyannote[588].speaker SPEAKER_02
transcript.pyannote[588].start 4834.58346875
transcript.pyannote[588].end 4836.76034375
transcript.pyannote[589].speaker SPEAKER_02
transcript.pyannote[589].start 4838.98784375
transcript.pyannote[589].end 4839.30846875
transcript.pyannote[590].speaker SPEAKER_02
transcript.pyannote[590].start 4840.48971875
transcript.pyannote[590].end 4842.04221875
transcript.pyannote[591].speaker SPEAKER_11
transcript.pyannote[591].start 4842.37971875
transcript.pyannote[591].end 4842.54846875
transcript.pyannote[592].speaker SPEAKER_07
transcript.pyannote[592].start 4842.59909375
transcript.pyannote[592].end 4842.61596875
transcript.pyannote[593].speaker SPEAKER_02
transcript.pyannote[593].start 4842.61596875
transcript.pyannote[593].end 4857.19596875
transcript.pyannote[594].speaker SPEAKER_11
transcript.pyannote[594].start 4857.43221875
transcript.pyannote[594].end 4875.08346875
transcript.pyannote[595].speaker SPEAKER_02
transcript.pyannote[595].start 4861.71846875
transcript.pyannote[595].end 4862.35971875
transcript.pyannote[596].speaker SPEAKER_02
transcript.pyannote[596].start 4864.36784375
transcript.pyannote[596].end 4865.39721875
transcript.pyannote[597].speaker SPEAKER_02
transcript.pyannote[597].start 4875.08346875
transcript.pyannote[597].end 4876.70346875
transcript.pyannote[598].speaker SPEAKER_11
transcript.pyannote[598].start 4875.16784375
transcript.pyannote[598].end 4876.65284375
transcript.pyannote[599].speaker SPEAKER_11
transcript.pyannote[599].start 4876.70346875
transcript.pyannote[599].end 4876.77096875
transcript.pyannote[600].speaker SPEAKER_02
transcript.pyannote[600].start 4876.77096875
transcript.pyannote[600].end 4876.78784375
transcript.pyannote[601].speaker SPEAKER_11
transcript.pyannote[601].start 4876.78784375
transcript.pyannote[601].end 4877.02409375
transcript.pyannote[602].speaker SPEAKER_02
transcript.pyannote[602].start 4877.02409375
transcript.pyannote[602].end 4879.89284375
transcript.pyannote[603].speaker SPEAKER_11
transcript.pyannote[603].start 4880.17971875
transcript.pyannote[603].end 4880.19659375
transcript.pyannote[604].speaker SPEAKER_02
transcript.pyannote[604].start 4880.19659375
transcript.pyannote[604].end 4880.21346875
transcript.pyannote[605].speaker SPEAKER_11
transcript.pyannote[605].start 4880.21346875
transcript.pyannote[605].end 4880.56784375
transcript.pyannote[606].speaker SPEAKER_02
transcript.pyannote[606].start 4880.23034375
transcript.pyannote[606].end 4884.97221875
transcript.pyannote[607].speaker SPEAKER_11
transcript.pyannote[607].start 4884.97221875
transcript.pyannote[607].end 4892.73471875
transcript.pyannote[608].speaker SPEAKER_11
transcript.pyannote[608].start 4893.32534375
transcript.pyannote[608].end 4897.71284375
transcript.pyannote[609].speaker SPEAKER_02
transcript.pyannote[609].start 4893.40971875
transcript.pyannote[609].end 4897.35846875
transcript.pyannote[610].speaker SPEAKER_02
transcript.pyannote[610].start 4897.71284375
transcript.pyannote[610].end 4897.78034375
transcript.pyannote[611].speaker SPEAKER_11
transcript.pyannote[611].start 4897.78034375
transcript.pyannote[611].end 4897.79721875
transcript.pyannote[612].speaker SPEAKER_02
transcript.pyannote[612].start 4897.79721875
transcript.pyannote[612].end 4897.83096875
transcript.pyannote[613].speaker SPEAKER_11
transcript.pyannote[613].start 4897.83096875
transcript.pyannote[613].end 4898.67471875
transcript.pyannote[614].speaker SPEAKER_06
transcript.pyannote[614].start 4898.67471875
transcript.pyannote[614].end 4901.94846875
transcript.pyannote[615].speaker SPEAKER_16
transcript.pyannote[615].start 4911.95534375
transcript.pyannote[615].end 4913.82846875
transcript.pyannote[616].speaker SPEAKER_06
transcript.pyannote[616].start 4913.82846875
transcript.pyannote[616].end 4914.13221875
transcript.pyannote[617].speaker SPEAKER_06
transcript.pyannote[617].start 4914.33471875
transcript.pyannote[617].end 4916.39346875
transcript.pyannote[618].speaker SPEAKER_20
transcript.pyannote[618].start 4922.62034375
transcript.pyannote[618].end 4923.31221875
transcript.pyannote[619].speaker SPEAKER_16
transcript.pyannote[619].start 4923.51471875
transcript.pyannote[619].end 4947.69659375
transcript.pyannote[620].speaker SPEAKER_16
transcript.pyannote[620].start 4948.15221875
transcript.pyannote[620].end 4949.99159375
transcript.pyannote[621].speaker SPEAKER_16
transcript.pyannote[621].start 4950.54846875
transcript.pyannote[621].end 4960.75784375
transcript.pyannote[622].speaker SPEAKER_16
transcript.pyannote[622].start 4961.66909375
transcript.pyannote[622].end 4981.32846875
transcript.pyannote[623].speaker SPEAKER_16
transcript.pyannote[623].start 4983.60659375
transcript.pyannote[623].end 4990.18784375
transcript.pyannote[624].speaker SPEAKER_16
transcript.pyannote[624].start 4990.79534375
transcript.pyannote[624].end 5003.33346875
transcript.pyannote[625].speaker SPEAKER_16
transcript.pyannote[625].start 5003.63721875
transcript.pyannote[625].end 5015.97284375
transcript.pyannote[626].speaker SPEAKER_16
transcript.pyannote[626].start 5016.29346875
transcript.pyannote[626].end 5018.67284375
transcript.pyannote[627].speaker SPEAKER_16
transcript.pyannote[627].start 5019.43221875
transcript.pyannote[627].end 5020.73159375
transcript.pyannote[628].speaker SPEAKER_16
transcript.pyannote[628].start 5021.69346875
transcript.pyannote[628].end 5024.47784375
transcript.pyannote[629].speaker SPEAKER_16
transcript.pyannote[629].start 5024.62971875
transcript.pyannote[629].end 5027.02596875
transcript.pyannote[630].speaker SPEAKER_16
transcript.pyannote[630].start 5027.38034375
transcript.pyannote[630].end 5049.04784375
transcript.pyannote[631].speaker SPEAKER_16
transcript.pyannote[631].start 5049.65534375
transcript.pyannote[631].end 5052.72659375
transcript.pyannote[632].speaker SPEAKER_16
transcript.pyannote[632].start 5053.14846875
transcript.pyannote[632].end 5054.78534375
transcript.pyannote[633].speaker SPEAKER_16
transcript.pyannote[633].start 5056.25346875
transcript.pyannote[633].end 5056.96221875
transcript.pyannote[634].speaker SPEAKER_16
transcript.pyannote[634].start 5057.38409375
transcript.pyannote[634].end 5058.64971875
transcript.pyannote[635].speaker SPEAKER_08
transcript.pyannote[635].start 5059.96596875
transcript.pyannote[635].end 5060.16846875
transcript.pyannote[636].speaker SPEAKER_11
transcript.pyannote[636].start 5061.58596875
transcript.pyannote[636].end 5071.84596875
transcript.pyannote[637].speaker SPEAKER_16
transcript.pyannote[637].start 5066.17596875
transcript.pyannote[637].end 5066.51346875
transcript.pyannote[638].speaker SPEAKER_08
transcript.pyannote[638].start 5066.51346875
transcript.pyannote[638].end 5066.53034375
transcript.pyannote[639].speaker SPEAKER_09
transcript.pyannote[639].start 5066.53034375
transcript.pyannote[639].end 5066.61471875
transcript.pyannote[640].speaker SPEAKER_00
transcript.pyannote[640].start 5066.61471875
transcript.pyannote[640].end 5066.63159375
transcript.pyannote[641].speaker SPEAKER_11
transcript.pyannote[641].start 5072.16659375
transcript.pyannote[641].end 5081.76846875
transcript.pyannote[642].speaker SPEAKER_00
transcript.pyannote[642].start 5072.18346875
transcript.pyannote[642].end 5072.21721875
transcript.pyannote[643].speaker SPEAKER_16
transcript.pyannote[643].start 5072.21721875
transcript.pyannote[643].end 5072.53784375
transcript.pyannote[644].speaker SPEAKER_16
transcript.pyannote[644].start 5075.84534375
transcript.pyannote[644].end 5076.11534375
transcript.pyannote[645].speaker SPEAKER_16
transcript.pyannote[645].start 5079.76034375
transcript.pyannote[645].end 5088.43409375
transcript.pyannote[646].speaker SPEAKER_11
transcript.pyannote[646].start 5082.10596875
transcript.pyannote[646].end 5082.54471875
transcript.pyannote[647].speaker SPEAKER_11
transcript.pyannote[647].start 5085.51471875
transcript.pyannote[647].end 5086.15596875
transcript.pyannote[648].speaker SPEAKER_16
transcript.pyannote[648].start 5088.95721875
transcript.pyannote[648].end 5100.24659375
transcript.pyannote[649].speaker SPEAKER_16
transcript.pyannote[649].start 5100.46596875
transcript.pyannote[649].end 5100.88784375
transcript.pyannote[650].speaker SPEAKER_16
transcript.pyannote[650].start 5101.66409375
transcript.pyannote[650].end 5116.22721875
transcript.pyannote[651].speaker SPEAKER_16
transcript.pyannote[651].start 5116.96971875
transcript.pyannote[651].end 5123.21346875
transcript.pyannote[652].speaker SPEAKER_16
transcript.pyannote[652].start 5123.66909375
transcript.pyannote[652].end 5126.90909375
transcript.pyannote[653].speaker SPEAKER_16
transcript.pyannote[653].start 5127.49971875
transcript.pyannote[653].end 5130.33471875
transcript.pyannote[654].speaker SPEAKER_16
transcript.pyannote[654].start 5130.58784375
transcript.pyannote[654].end 5138.80596875
transcript.pyannote[655].speaker SPEAKER_16
transcript.pyannote[655].start 5139.26159375
transcript.pyannote[655].end 5146.80471875
transcript.pyannote[656].speaker SPEAKER_16
transcript.pyannote[656].start 5147.44596875
transcript.pyannote[656].end 5154.73596875
transcript.pyannote[657].speaker SPEAKER_16
transcript.pyannote[657].start 5155.07346875
transcript.pyannote[657].end 5155.86659375
transcript.pyannote[658].speaker SPEAKER_16
transcript.pyannote[658].start 5156.67659375
transcript.pyannote[658].end 5161.87409375
transcript.pyannote[659].speaker SPEAKER_20
transcript.pyannote[659].start 5161.87409375
transcript.pyannote[659].end 5196.34971875
transcript.pyannote[660].speaker SPEAKER_11
transcript.pyannote[660].start 5169.88971875
transcript.pyannote[660].end 5170.02471875
transcript.pyannote[661].speaker SPEAKER_19
transcript.pyannote[661].start 5170.02471875
transcript.pyannote[661].end 5170.41284375
transcript.pyannote[662].speaker SPEAKER_19
transcript.pyannote[662].start 5174.83409375
transcript.pyannote[662].end 5175.15471875
transcript.pyannote[663].speaker SPEAKER_19
transcript.pyannote[663].start 5175.17159375
transcript.pyannote[663].end 5175.18846875
transcript.pyannote[664].speaker SPEAKER_19
transcript.pyannote[664].start 5179.23846875
transcript.pyannote[664].end 5179.84596875
transcript.pyannote[665].speaker SPEAKER_19
transcript.pyannote[665].start 5188.13159375
transcript.pyannote[665].end 5188.16534375
transcript.pyannote[666].speaker SPEAKER_16
transcript.pyannote[666].start 5188.16534375
transcript.pyannote[666].end 5189.11034375
transcript.pyannote[667].speaker SPEAKER_16
transcript.pyannote[667].start 5195.30346875
transcript.pyannote[667].end 5205.49596875
transcript.pyannote[668].speaker SPEAKER_20
transcript.pyannote[668].start 5198.54346875
transcript.pyannote[668].end 5198.96534375
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 5205.17534375
transcript.pyannote[669].end 5205.19221875
transcript.pyannote[670].speaker SPEAKER_20
transcript.pyannote[670].start 5205.19221875
transcript.pyannote[670].end 5205.46221875
transcript.pyannote[671].speaker SPEAKER_20
transcript.pyannote[671].start 5205.49596875
transcript.pyannote[671].end 5206.08659375
transcript.pyannote[672].speaker SPEAKER_16
transcript.pyannote[672].start 5205.59721875
transcript.pyannote[672].end 5209.61346875
transcript.pyannote[673].speaker SPEAKER_09
transcript.pyannote[673].start 5206.08659375
transcript.pyannote[673].end 5206.10346875
transcript.pyannote[674].speaker SPEAKER_16
transcript.pyannote[674].start 5209.66409375
transcript.pyannote[674].end 5215.57034375
transcript.pyannote[675].speaker SPEAKER_20
transcript.pyannote[675].start 5215.31721875
transcript.pyannote[675].end 5216.44784375
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 5215.75596875
transcript.pyannote[676].end 5221.44284375
transcript.pyannote[677].speaker SPEAKER_20
transcript.pyannote[677].start 5222.11784375
transcript.pyannote[677].end 5223.41721875
transcript.pyannote[678].speaker SPEAKER_16
transcript.pyannote[678].start 5222.74221875
transcript.pyannote[678].end 5225.08784375
transcript.pyannote[679].speaker SPEAKER_20
transcript.pyannote[679].start 5224.59846875
transcript.pyannote[679].end 5232.56346875
transcript.pyannote[680].speaker SPEAKER_16
transcript.pyannote[680].start 5232.41159375
transcript.pyannote[680].end 5236.76534375
transcript.pyannote[681].speaker SPEAKER_20
transcript.pyannote[681].start 5234.09909375
transcript.pyannote[681].end 5234.28471875
transcript.pyannote[682].speaker SPEAKER_20
transcript.pyannote[682].start 5236.49534375
transcript.pyannote[682].end 5243.88659375
transcript.pyannote[683].speaker SPEAKER_16
transcript.pyannote[683].start 5242.70534375
transcript.pyannote[683].end 5252.47596875
transcript.pyannote[684].speaker SPEAKER_20
transcript.pyannote[684].start 5244.49409375
transcript.pyannote[684].end 5244.84846875
transcript.pyannote[685].speaker SPEAKER_20
transcript.pyannote[685].start 5246.19846875
transcript.pyannote[685].end 5246.60346875
transcript.pyannote[686].speaker SPEAKER_16
transcript.pyannote[686].start 5252.71221875
transcript.pyannote[686].end 5253.84284375
transcript.pyannote[687].speaker SPEAKER_16
transcript.pyannote[687].start 5254.55159375
transcript.pyannote[687].end 5259.05721875
transcript.pyannote[688].speaker SPEAKER_16
transcript.pyannote[688].start 5259.52971875
transcript.pyannote[688].end 5264.94659375
transcript.pyannote[689].speaker SPEAKER_08
transcript.pyannote[689].start 5264.99721875
transcript.pyannote[689].end 5265.03096875
transcript.pyannote[690].speaker SPEAKER_08
transcript.pyannote[690].start 5265.04784375
transcript.pyannote[690].end 5265.38534375
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 5265.38534375
transcript.pyannote[691].end 5268.00096875
transcript.pyannote[692].speaker SPEAKER_08
transcript.pyannote[692].start 5268.33846875
transcript.pyannote[692].end 5268.72659375
transcript.pyannote[693].speaker SPEAKER_08
transcript.pyannote[693].start 5270.70096875
transcript.pyannote[693].end 5272.91159375
transcript.pyannote[694].speaker SPEAKER_16
transcript.pyannote[694].start 5271.00471875
transcript.pyannote[694].end 5274.27846875
transcript.pyannote[695].speaker SPEAKER_19
transcript.pyannote[695].start 5272.91159375
transcript.pyannote[695].end 5272.94534375
transcript.pyannote[696].speaker SPEAKER_19
transcript.pyannote[696].start 5274.27846875
transcript.pyannote[696].end 5274.34596875
transcript.pyannote[697].speaker SPEAKER_20
transcript.pyannote[697].start 5274.34596875
transcript.pyannote[697].end 5274.36284375
transcript.pyannote[698].speaker SPEAKER_08
transcript.pyannote[698].start 5274.36284375
transcript.pyannote[698].end 5274.78471875
transcript.pyannote[699].speaker SPEAKER_20
transcript.pyannote[699].start 5274.78471875
transcript.pyannote[699].end 5274.80159375
transcript.pyannote[700].speaker SPEAKER_16
transcript.pyannote[700].start 5274.85221875
transcript.pyannote[700].end 5277.26534375
transcript.pyannote[701].speaker SPEAKER_20
transcript.pyannote[701].start 5277.23159375
transcript.pyannote[701].end 5278.12596875
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 5277.75471875
transcript.pyannote[702].end 5280.67409375
transcript.pyannote[703].speaker SPEAKER_20
transcript.pyannote[703].start 5281.21409375
transcript.pyannote[703].end 5281.92284375
transcript.pyannote[704].speaker SPEAKER_16
transcript.pyannote[704].start 5281.77096875
transcript.pyannote[704].end 5283.30659375
transcript.pyannote[705].speaker SPEAKER_16
transcript.pyannote[705].start 5284.58909375
transcript.pyannote[705].end 5288.68971875
transcript.pyannote[706].speaker SPEAKER_16
transcript.pyannote[706].start 5289.53346875
transcript.pyannote[706].end 5300.85659375
transcript.pyannote[707].speaker SPEAKER_16
transcript.pyannote[707].start 5301.09284375
transcript.pyannote[707].end 5309.61471875
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 5305.37909375
transcript.pyannote[708].end 5305.39596875
transcript.pyannote[709].speaker SPEAKER_08
transcript.pyannote[709].start 5305.39596875
transcript.pyannote[709].end 5305.59846875
transcript.pyannote[710].speaker SPEAKER_16
transcript.pyannote[710].start 5309.66534375
transcript.pyannote[710].end 5310.55971875
transcript.pyannote[711].speaker SPEAKER_16
transcript.pyannote[711].start 5311.99409375
transcript.pyannote[711].end 5312.90534375
transcript.pyannote[712].speaker SPEAKER_20
transcript.pyannote[712].start 5313.29346875
transcript.pyannote[712].end 5313.46221875
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 5313.46221875
transcript.pyannote[713].end 5314.15409375
transcript.pyannote[714].speaker SPEAKER_20
transcript.pyannote[714].start 5313.51284375
transcript.pyannote[714].end 5313.66471875
transcript.pyannote[715].speaker SPEAKER_16
transcript.pyannote[715].start 5314.71096875
transcript.pyannote[715].end 5315.25096875
transcript.pyannote[716].speaker SPEAKER_20
transcript.pyannote[716].start 5315.08221875
transcript.pyannote[716].end 5315.14971875
transcript.pyannote[717].speaker SPEAKER_20
transcript.pyannote[717].start 5315.18346875
transcript.pyannote[717].end 5315.21721875
transcript.pyannote[718].speaker SPEAKER_20
transcript.pyannote[718].start 5315.25096875
transcript.pyannote[718].end 5315.43659375
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 5316.06096875
transcript.pyannote[719].end 5316.65159375
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 5317.19159375
transcript.pyannote[720].end 5318.45721875
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 5320.81971875
transcript.pyannote[721].end 5326.05096875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 5326.52346875
transcript.pyannote[722].end 5330.47221875
transcript.pyannote[723].speaker SPEAKER_16
transcript.pyannote[723].start 5331.63659375
transcript.pyannote[723].end 5332.98659375
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 5333.35784375
transcript.pyannote[724].end 5333.79659375
transcript.pyannote[725].speaker SPEAKER_18
transcript.pyannote[725].start 5334.33659375
transcript.pyannote[725].end 5336.00721875
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 5334.60659375
transcript.pyannote[726].end 5335.82159375
transcript.pyannote[727].speaker SPEAKER_16
transcript.pyannote[727].start 5336.00721875
transcript.pyannote[727].end 5337.62721875
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 5338.15034375
transcript.pyannote[728].end 5339.36534375
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 5339.97284375
transcript.pyannote[729].end 5344.68096875
transcript.pyannote[730].speaker SPEAKER_16
transcript.pyannote[730].start 5345.42346875
transcript.pyannote[730].end 5346.92534375
transcript.pyannote[731].speaker SPEAKER_08
transcript.pyannote[731].start 5347.76909375
transcript.pyannote[731].end 5347.93784375
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 5347.93784375
transcript.pyannote[732].end 5350.43534375
transcript.pyannote[733].speaker SPEAKER_08
transcript.pyannote[733].start 5350.60409375
transcript.pyannote[733].end 5350.94159375
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 5352.13971875
transcript.pyannote[734].end 5355.34596875
transcript.pyannote[735].speaker SPEAKER_19
transcript.pyannote[735].start 5355.59909375
transcript.pyannote[735].end 5356.98284375
transcript.pyannote[736].speaker SPEAKER_16
transcript.pyannote[736].start 5356.49346875
transcript.pyannote[736].end 5358.87284375
transcript.pyannote[737].speaker SPEAKER_16
transcript.pyannote[737].start 5359.07534375
transcript.pyannote[737].end 5364.13784375
transcript.pyannote[738].speaker SPEAKER_19
transcript.pyannote[738].start 5359.96971875
transcript.pyannote[738].end 5360.08784375
transcript.pyannote[739].speaker SPEAKER_16
transcript.pyannote[739].start 5364.47534375
transcript.pyannote[739].end 5371.41096875
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 5372.64284375
transcript.pyannote[740].end 5373.41909375
transcript.pyannote[741].speaker SPEAKER_16
transcript.pyannote[741].start 5373.84096875
transcript.pyannote[741].end 5376.52409375
transcript.pyannote[742].speaker SPEAKER_16
transcript.pyannote[742].start 5377.06409375
transcript.pyannote[742].end 5380.81034375
transcript.pyannote[743].speaker SPEAKER_16
transcript.pyannote[743].start 5385.16409375
transcript.pyannote[743].end 5386.53096875
transcript.pyannote[744].speaker SPEAKER_16
transcript.pyannote[744].start 5386.90221875
transcript.pyannote[744].end 5387.86409375
transcript.pyannote[745].speaker SPEAKER_16
transcript.pyannote[745].start 5388.55596875
transcript.pyannote[745].end 5391.77909375
transcript.pyannote[746].speaker SPEAKER_08
transcript.pyannote[746].start 5392.09971875
transcript.pyannote[746].end 5392.26846875
transcript.pyannote[747].speaker SPEAKER_16
transcript.pyannote[747].start 5392.26846875
transcript.pyannote[747].end 5393.38221875
transcript.pyannote[748].speaker SPEAKER_08
transcript.pyannote[748].start 5392.28534375
transcript.pyannote[748].end 5392.31909375
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 5394.25971875
transcript.pyannote[749].end 5400.33471875
transcript.pyannote[750].speaker SPEAKER_16
transcript.pyannote[750].start 5400.75659375
transcript.pyannote[750].end 5403.74346875
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 5404.14846875
transcript.pyannote[751].end 5405.80221875
transcript.pyannote[752].speaker SPEAKER_11
transcript.pyannote[752].start 5405.95409375
transcript.pyannote[752].end 5406.46034375
transcript.pyannote[753].speaker SPEAKER_16
transcript.pyannote[753].start 5406.39284375
transcript.pyannote[753].end 5409.63284375
transcript.pyannote[754].speaker SPEAKER_16
transcript.pyannote[754].start 5410.32471875
transcript.pyannote[754].end 5412.56909375
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 5412.83909375
transcript.pyannote[755].end 5414.07096875
transcript.pyannote[756].speaker SPEAKER_16
transcript.pyannote[756].start 5414.57721875
transcript.pyannote[756].end 5427.38534375
transcript.pyannote[757].speaker SPEAKER_16
transcript.pyannote[757].start 5427.57096875
transcript.pyannote[757].end 5443.70346875
transcript.pyannote[758].speaker SPEAKER_16
transcript.pyannote[758].start 5443.97346875
transcript.pyannote[758].end 5444.42909375
transcript.pyannote[759].speaker SPEAKER_16
transcript.pyannote[759].start 5444.91846875
transcript.pyannote[759].end 5452.90034375
transcript.pyannote[760].speaker SPEAKER_16
transcript.pyannote[760].start 5453.32221875
transcript.pyannote[760].end 5472.62721875
transcript.pyannote[761].speaker SPEAKER_16
transcript.pyannote[761].start 5473.31909375
transcript.pyannote[761].end 5473.82534375
transcript.pyannote[762].speaker SPEAKER_16
transcript.pyannote[762].start 5474.39909375
transcript.pyannote[762].end 5477.28471875
transcript.pyannote[763].speaker SPEAKER_16
transcript.pyannote[763].start 5477.48721875
transcript.pyannote[763].end 5485.28346875
transcript.pyannote[764].speaker SPEAKER_11
transcript.pyannote[764].start 5485.53659375
transcript.pyannote[764].end 5485.84034375
transcript.pyannote[765].speaker SPEAKER_16
transcript.pyannote[765].start 5485.84034375
transcript.pyannote[765].end 5495.40846875
transcript.pyannote[766].speaker SPEAKER_16
transcript.pyannote[766].start 5495.99909375
transcript.pyannote[766].end 5500.97721875
transcript.pyannote[767].speaker SPEAKER_16
transcript.pyannote[767].start 5501.33159375
transcript.pyannote[767].end 5502.96846875
transcript.pyannote[768].speaker SPEAKER_16
transcript.pyannote[768].start 5503.96409375
transcript.pyannote[768].end 5505.73596875
transcript.pyannote[769].speaker SPEAKER_16
transcript.pyannote[769].start 5506.32659375
transcript.pyannote[769].end 5520.04596875
transcript.pyannote[770].speaker SPEAKER_16
transcript.pyannote[770].start 5520.53534375
transcript.pyannote[770].end 5524.75409375
transcript.pyannote[771].speaker SPEAKER_16
transcript.pyannote[771].start 5525.10846875
transcript.pyannote[771].end 5525.46284375
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 5525.86784375
transcript.pyannote[772].end 5532.68534375
transcript.pyannote[773].speaker SPEAKER_20
transcript.pyannote[773].start 5533.76534375
transcript.pyannote[773].end 5537.74784375
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 5536.83659375
transcript.pyannote[774].end 5538.43971875
transcript.pyannote[775].speaker SPEAKER_16
transcript.pyannote[775].start 5538.72659375
transcript.pyannote[775].end 5540.12721875
transcript.pyannote[776].speaker SPEAKER_20
transcript.pyannote[776].start 5539.92471875
transcript.pyannote[776].end 5541.67971875
transcript.pyannote[777].speaker SPEAKER_16
transcript.pyannote[777].start 5540.44784375
transcript.pyannote[777].end 5541.07221875
transcript.pyannote[778].speaker SPEAKER_16
transcript.pyannote[778].start 5541.78096875
transcript.pyannote[778].end 5544.32909375
transcript.pyannote[779].speaker SPEAKER_16
transcript.pyannote[779].start 5545.29096875
transcript.pyannote[779].end 5548.37909375
transcript.pyannote[780].speaker SPEAKER_16
transcript.pyannote[780].start 5549.64471875
transcript.pyannote[780].end 5550.08346875
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 5550.91034375
transcript.pyannote[781].end 5553.42471875
transcript.pyannote[782].speaker SPEAKER_16
transcript.pyannote[782].start 5554.11659375
transcript.pyannote[782].end 5570.95784375
transcript.pyannote[783].speaker SPEAKER_16
transcript.pyannote[783].start 5571.95346875
transcript.pyannote[783].end 5582.41596875
transcript.pyannote[784].speaker SPEAKER_16
transcript.pyannote[784].start 5582.95596875
transcript.pyannote[784].end 5584.08659375
transcript.pyannote[785].speaker SPEAKER_16
transcript.pyannote[785].start 5584.99784375
transcript.pyannote[785].end 5585.92596875
transcript.pyannote[786].speaker SPEAKER_06
transcript.pyannote[786].start 5586.31409375
transcript.pyannote[786].end 5594.00909375
transcript.pyannote[787].speaker SPEAKER_12
transcript.pyannote[787].start 5599.24034375
transcript.pyannote[787].end 5602.27784375
transcript.pyannote[788].speaker SPEAKER_12
transcript.pyannote[788].start 5602.86846875
transcript.pyannote[788].end 5603.35784375
transcript.pyannote[789].speaker SPEAKER_12
transcript.pyannote[789].start 5603.40846875
transcript.pyannote[789].end 5605.29846875
transcript.pyannote[790].speaker SPEAKER_06
transcript.pyannote[790].start 5605.43346875
transcript.pyannote[790].end 5607.34034375
transcript.pyannote[791].speaker SPEAKER_11
transcript.pyannote[791].start 5611.64346875
transcript.pyannote[791].end 5612.30159375
transcript.pyannote[792].speaker SPEAKER_12
transcript.pyannote[792].start 5612.53784375
transcript.pyannote[792].end 5621.02596875
transcript.pyannote[793].speaker SPEAKER_12
transcript.pyannote[793].start 5621.38034375
transcript.pyannote[793].end 5627.20221875
transcript.pyannote[794].speaker SPEAKER_12
transcript.pyannote[794].start 5627.62409375
transcript.pyannote[794].end 5632.36596875
transcript.pyannote[795].speaker SPEAKER_12
transcript.pyannote[795].start 5632.63596875
transcript.pyannote[795].end 5635.97721875
transcript.pyannote[796].speaker SPEAKER_12
transcript.pyannote[796].start 5636.51721875
transcript.pyannote[796].end 5638.54221875
transcript.pyannote[797].speaker SPEAKER_12
transcript.pyannote[797].start 5638.82909375
transcript.pyannote[797].end 5645.17409375
transcript.pyannote[798].speaker SPEAKER_12
transcript.pyannote[798].start 5645.49471875
transcript.pyannote[798].end 5646.45659375
transcript.pyannote[799].speaker SPEAKER_12
transcript.pyannote[799].start 5646.65909375
transcript.pyannote[799].end 5655.16409375
transcript.pyannote[800].speaker SPEAKER_12
transcript.pyannote[800].start 5655.58596875
transcript.pyannote[800].end 5658.40409375
transcript.pyannote[801].speaker SPEAKER_12
transcript.pyannote[801].start 5658.74159375
transcript.pyannote[801].end 5661.52596875
transcript.pyannote[802].speaker SPEAKER_12
transcript.pyannote[802].start 5661.77909375
transcript.pyannote[802].end 5672.69721875
transcript.pyannote[803].speaker SPEAKER_11
transcript.pyannote[803].start 5671.56659375
transcript.pyannote[803].end 5687.10846875
transcript.pyannote[804].speaker SPEAKER_09
transcript.pyannote[804].start 5680.18971875
transcript.pyannote[804].end 5681.05034375
transcript.pyannote[805].speaker SPEAKER_00
transcript.pyannote[805].start 5681.05034375
transcript.pyannote[805].end 5681.10096875
transcript.pyannote[806].speaker SPEAKER_11
transcript.pyannote[806].start 5687.76659375
transcript.pyannote[806].end 5690.75346875
transcript.pyannote[807].speaker SPEAKER_11
transcript.pyannote[807].start 5691.14159375
transcript.pyannote[807].end 5737.48034375
transcript.pyannote[808].speaker SPEAKER_00
transcript.pyannote[808].start 5724.95909375
transcript.pyannote[808].end 5725.92096875
transcript.pyannote[809].speaker SPEAKER_12
transcript.pyannote[809].start 5736.55221875
transcript.pyannote[809].end 5745.66471875
transcript.pyannote[810].speaker SPEAKER_11
transcript.pyannote[810].start 5737.78409375
transcript.pyannote[810].end 5737.80096875
transcript.pyannote[811].speaker SPEAKER_11
transcript.pyannote[811].start 5738.72909375
transcript.pyannote[811].end 5739.03284375
transcript.pyannote[812].speaker SPEAKER_11
transcript.pyannote[812].start 5740.87221875
transcript.pyannote[812].end 5743.40346875
transcript.pyannote[813].speaker SPEAKER_11
transcript.pyannote[813].start 5744.60159375
transcript.pyannote[813].end 5745.83346875
transcript.pyannote[814].speaker SPEAKER_11
transcript.pyannote[814].start 5745.86721875
transcript.pyannote[814].end 5748.58409375
transcript.pyannote[815].speaker SPEAKER_12
transcript.pyannote[815].start 5746.39034375
transcript.pyannote[815].end 5758.48971875
transcript.pyannote[816].speaker SPEAKER_11
transcript.pyannote[816].start 5752.56659375
transcript.pyannote[816].end 5752.85346875
transcript.pyannote[817].speaker SPEAKER_11
transcript.pyannote[817].start 5756.46471875
transcript.pyannote[817].end 5763.09659375
transcript.pyannote[818].speaker SPEAKER_12
transcript.pyannote[818].start 5761.12221875
transcript.pyannote[818].end 5770.94346875
transcript.pyannote[819].speaker SPEAKER_12
transcript.pyannote[819].start 5771.16284375
transcript.pyannote[819].end 5793.62346875
transcript.pyannote[820].speaker SPEAKER_12
transcript.pyannote[820].start 5793.84284375
transcript.pyannote[820].end 5800.86284375
transcript.pyannote[821].speaker SPEAKER_12
transcript.pyannote[821].start 5801.14971875
transcript.pyannote[821].end 5801.68971875
transcript.pyannote[822].speaker SPEAKER_12
transcript.pyannote[822].start 5802.31409375
transcript.pyannote[822].end 5817.56909375
transcript.pyannote[823].speaker SPEAKER_12
transcript.pyannote[823].start 5818.36221875
transcript.pyannote[823].end 5824.26846875
transcript.pyannote[824].speaker SPEAKER_12
transcript.pyannote[824].start 5824.62284375
transcript.pyannote[824].end 5834.84909375
transcript.pyannote[825].speaker SPEAKER_12
transcript.pyannote[825].start 5834.96721875
transcript.pyannote[825].end 5835.96284375
transcript.pyannote[826].speaker SPEAKER_20
transcript.pyannote[826].start 5835.96284375
transcript.pyannote[826].end 5847.30284375
transcript.pyannote[827].speaker SPEAKER_20
transcript.pyannote[827].start 5847.57284375
transcript.pyannote[827].end 5853.56346875
transcript.pyannote[828].speaker SPEAKER_12
transcript.pyannote[828].start 5851.26846875
transcript.pyannote[828].end 5859.19971875
transcript.pyannote[829].speaker SPEAKER_20
transcript.pyannote[829].start 5854.42409375
transcript.pyannote[829].end 5856.11159375
transcript.pyannote[830].speaker SPEAKER_20
transcript.pyannote[830].start 5858.69346875
transcript.pyannote[830].end 5894.62034375
transcript.pyannote[831].speaker SPEAKER_00
transcript.pyannote[831].start 5892.93284375
transcript.pyannote[831].end 5892.94971875
transcript.pyannote[832].speaker SPEAKER_12
transcript.pyannote[832].start 5892.94971875
transcript.pyannote[832].end 5905.79159375
transcript.pyannote[833].speaker SPEAKER_12
transcript.pyannote[833].start 5905.82534375
transcript.pyannote[833].end 5923.57784375
transcript.pyannote[834].speaker SPEAKER_12
transcript.pyannote[834].start 5923.94909375
transcript.pyannote[834].end 5947.91159375
transcript.pyannote[835].speaker SPEAKER_00
transcript.pyannote[835].start 5928.47159375
transcript.pyannote[835].end 5928.53909375
transcript.pyannote[836].speaker SPEAKER_21
transcript.pyannote[836].start 5928.53909375
transcript.pyannote[836].end 5928.60659375
transcript.pyannote[837].speaker SPEAKER_00
transcript.pyannote[837].start 5928.60659375
transcript.pyannote[837].end 5928.74159375
transcript.pyannote[838].speaker SPEAKER_21
transcript.pyannote[838].start 5934.49596875
transcript.pyannote[838].end 5934.96846875
transcript.pyannote[839].speaker SPEAKER_00
transcript.pyannote[839].start 5934.96846875
transcript.pyannote[839].end 5935.39034375
transcript.pyannote[840].speaker SPEAKER_12
transcript.pyannote[840].start 5948.01284375
transcript.pyannote[840].end 5974.70909375
transcript.pyannote[841].speaker SPEAKER_12
transcript.pyannote[841].start 5974.92846875
transcript.pyannote[841].end 5978.94471875
transcript.pyannote[842].speaker SPEAKER_12
transcript.pyannote[842].start 5979.38346875
transcript.pyannote[842].end 5980.02471875
transcript.pyannote[843].speaker SPEAKER_12
transcript.pyannote[843].start 5980.10909375
transcript.pyannote[843].end 5982.91034375
transcript.pyannote[844].speaker SPEAKER_12
transcript.pyannote[844].start 5983.51784375
transcript.pyannote[844].end 5987.66909375
transcript.pyannote[845].speaker SPEAKER_12
transcript.pyannote[845].start 5988.05721875
transcript.pyannote[845].end 5994.43596875
transcript.pyannote[846].speaker SPEAKER_12
transcript.pyannote[846].start 5994.65534375
transcript.pyannote[846].end 5996.20784375
transcript.pyannote[847].speaker SPEAKER_12
transcript.pyannote[847].start 5996.46096875
transcript.pyannote[847].end 5998.87409375
transcript.pyannote[848].speaker SPEAKER_12
transcript.pyannote[848].start 5999.31284375
transcript.pyannote[848].end 6009.18471875
transcript.pyannote[849].speaker SPEAKER_12
transcript.pyannote[849].start 6009.28596875
transcript.pyannote[849].end 6029.29971875
transcript.pyannote[850].speaker SPEAKER_12
transcript.pyannote[850].start 6029.67096875
transcript.pyannote[850].end 6036.20159375
transcript.pyannote[851].speaker SPEAKER_12
transcript.pyannote[851].start 6036.57284375
transcript.pyannote[851].end 6042.61409375
transcript.pyannote[852].speaker SPEAKER_20
transcript.pyannote[852].start 6043.23846875
transcript.pyannote[852].end 6054.88221875
transcript.pyannote[853].speaker SPEAKER_20
transcript.pyannote[853].start 6055.08471875
transcript.pyannote[853].end 6080.66721875
transcript.pyannote[854].speaker SPEAKER_12
transcript.pyannote[854].start 6078.87846875
transcript.pyannote[854].end 6102.57096875
transcript.pyannote[855].speaker SPEAKER_00
transcript.pyannote[855].start 6097.33971875
transcript.pyannote[855].end 6097.79534375
transcript.pyannote[856].speaker SPEAKER_12
transcript.pyannote[856].start 6102.79034375
transcript.pyannote[856].end 6113.82659375
transcript.pyannote[857].speaker SPEAKER_00
transcript.pyannote[857].start 6102.84096875
transcript.pyannote[857].end 6103.76909375
transcript.pyannote[858].speaker SPEAKER_20
transcript.pyannote[858].start 6113.82659375
transcript.pyannote[858].end 6129.97596875
transcript.pyannote[859].speaker SPEAKER_19
transcript.pyannote[859].start 6114.61971875
transcript.pyannote[859].end 6115.09221875
transcript.pyannote[860].speaker SPEAKER_12
transcript.pyannote[860].start 6128.99721875
transcript.pyannote[860].end 6146.42909375
transcript.pyannote[861].speaker SPEAKER_20
transcript.pyannote[861].start 6131.42721875
transcript.pyannote[861].end 6131.93346875
transcript.pyannote[862].speaker SPEAKER_20
transcript.pyannote[862].start 6136.21971875
transcript.pyannote[862].end 6136.27034375
transcript.pyannote[863].speaker SPEAKER_12
transcript.pyannote[863].start 6146.95221875
transcript.pyannote[863].end 6150.96846875
transcript.pyannote[864].speaker SPEAKER_12
transcript.pyannote[864].start 6152.62221875
transcript.pyannote[864].end 6152.97659375
transcript.pyannote[865].speaker SPEAKER_20
transcript.pyannote[865].start 6152.97659375
transcript.pyannote[865].end 6168.06284375
transcript.pyannote[866].speaker SPEAKER_12
transcript.pyannote[866].start 6168.36659375
transcript.pyannote[866].end 6177.44534375
transcript.pyannote[867].speaker SPEAKER_20
transcript.pyannote[867].start 6177.59721875
transcript.pyannote[867].end 6181.69784375
transcript.pyannote[868].speaker SPEAKER_12
transcript.pyannote[868].start 6179.47034375
transcript.pyannote[868].end 6195.99096875
transcript.pyannote[869].speaker SPEAKER_20
transcript.pyannote[869].start 6195.99096875
transcript.pyannote[869].end 6196.17659375
transcript.pyannote[870].speaker SPEAKER_12
transcript.pyannote[870].start 6196.17659375
transcript.pyannote[870].end 6196.19346875
transcript.pyannote[871].speaker SPEAKER_20
transcript.pyannote[871].start 6196.19346875
transcript.pyannote[871].end 6222.50159375
transcript.pyannote[872].speaker SPEAKER_20
transcript.pyannote[872].start 6223.05846875
transcript.pyannote[872].end 6223.14284375
transcript.pyannote[873].speaker SPEAKER_12
transcript.pyannote[873].start 6223.14284375
transcript.pyannote[873].end 6223.24409375
transcript.pyannote[874].speaker SPEAKER_20
transcript.pyannote[874].start 6223.24409375
transcript.pyannote[874].end 6223.51409375
transcript.pyannote[875].speaker SPEAKER_12
transcript.pyannote[875].start 6223.51409375
transcript.pyannote[875].end 6231.31034375
transcript.pyannote[876].speaker SPEAKER_12
transcript.pyannote[876].start 6232.06971875
transcript.pyannote[876].end 6242.83596875
transcript.pyannote[877].speaker SPEAKER_12
transcript.pyannote[877].start 6243.13971875
transcript.pyannote[877].end 6248.79284375
transcript.pyannote[878].speaker SPEAKER_12
transcript.pyannote[878].start 6249.34971875
transcript.pyannote[878].end 6253.07909375
transcript.pyannote[879].speaker SPEAKER_12
transcript.pyannote[879].start 6253.31534375
transcript.pyannote[879].end 6257.97284375
transcript.pyannote[880].speaker SPEAKER_12
transcript.pyannote[880].start 6258.29346875
transcript.pyannote[880].end 6260.52096875
transcript.pyannote[881].speaker SPEAKER_12
transcript.pyannote[881].start 6260.72346875
transcript.pyannote[881].end 6266.32596875
transcript.pyannote[882].speaker SPEAKER_12
transcript.pyannote[882].start 6266.51159375
transcript.pyannote[882].end 6267.03471875
transcript.pyannote[883].speaker SPEAKER_12
transcript.pyannote[883].start 6267.42284375
transcript.pyannote[883].end 6267.79409375
transcript.pyannote[884].speaker SPEAKER_12
transcript.pyannote[884].start 6268.16534375
transcript.pyannote[884].end 6280.90596875
transcript.pyannote[885].speaker SPEAKER_12
transcript.pyannote[885].start 6281.47971875
transcript.pyannote[885].end 6282.96471875
transcript.pyannote[886].speaker SPEAKER_20
transcript.pyannote[886].start 6282.96471875
transcript.pyannote[886].end 6318.18284375
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 6318.19971875
transcript.pyannote[887].end 6319.83659375
transcript.pyannote[888].speaker SPEAKER_06
transcript.pyannote[888].start 6320.24159375
transcript.pyannote[888].end 6322.55346875
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 6340.74471875
transcript.pyannote[889].end 6344.40659375
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 6344.96346875
transcript.pyannote[890].end 6346.26284375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 6346.54971875
transcript.pyannote[891].end 6349.51971875
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 6350.16096875
transcript.pyannote[892].end 6354.14346875
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 6354.76784375
transcript.pyannote[893].end 6361.68659375
transcript.pyannote[894].speaker SPEAKER_13
transcript.pyannote[894].start 6361.85534375
transcript.pyannote[894].end 6362.47971875
transcript.pyannote[895].speaker SPEAKER_20
transcript.pyannote[895].start 6363.01971875
transcript.pyannote[895].end 6363.66096875
transcript.pyannote[896].speaker SPEAKER_13
transcript.pyannote[896].start 6364.30221875
transcript.pyannote[896].end 6365.04471875
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 6368.23409375
transcript.pyannote[897].end 6370.25909375
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 6371.84534375
transcript.pyannote[898].end 6375.37221875
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 6376.14846875
transcript.pyannote[899].end 6377.85284375
transcript.pyannote[900].speaker SPEAKER_13
transcript.pyannote[900].start 6378.34221875
transcript.pyannote[900].end 6379.65846875
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 6382.47659375
transcript.pyannote[901].end 6384.24846875
transcript.pyannote[902].speaker SPEAKER_13
transcript.pyannote[902].start 6385.69971875
transcript.pyannote[902].end 6387.72471875
transcript.pyannote[903].speaker SPEAKER_13
transcript.pyannote[903].start 6388.18034375
transcript.pyannote[903].end 6392.88846875
transcript.pyannote[904].speaker SPEAKER_13
transcript.pyannote[904].start 6393.04034375
transcript.pyannote[904].end 6393.12471875
transcript.pyannote[905].speaker SPEAKER_08
transcript.pyannote[905].start 6393.12471875
transcript.pyannote[905].end 6393.14159375
transcript.pyannote[906].speaker SPEAKER_13
transcript.pyannote[906].start 6393.14159375
transcript.pyannote[906].end 6393.31034375
transcript.pyannote[907].speaker SPEAKER_13
transcript.pyannote[907].start 6393.36096875
transcript.pyannote[907].end 6395.95971875
transcript.pyannote[908].speaker SPEAKER_13
transcript.pyannote[908].start 6396.33096875
transcript.pyannote[908].end 6397.95096875
transcript.pyannote[909].speaker SPEAKER_13
transcript.pyannote[909].start 6399.09846875
transcript.pyannote[909].end 6400.53284375
transcript.pyannote[910].speaker SPEAKER_08
transcript.pyannote[910].start 6399.28409375
transcript.pyannote[910].end 6399.31784375
transcript.pyannote[911].speaker SPEAKER_08
transcript.pyannote[911].start 6401.69721875
transcript.pyannote[911].end 6402.03471875
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 6402.38909375
transcript.pyannote[912].end 6404.17784375
transcript.pyannote[913].speaker SPEAKER_13
transcript.pyannote[913].start 6404.63346875
transcript.pyannote[913].end 6405.76409375
transcript.pyannote[914].speaker SPEAKER_13
transcript.pyannote[914].start 6406.48971875
transcript.pyannote[914].end 6410.10096875
transcript.pyannote[915].speaker SPEAKER_13
transcript.pyannote[915].start 6410.53971875
transcript.pyannote[915].end 6414.28596875
transcript.pyannote[916].speaker SPEAKER_13
transcript.pyannote[916].start 6415.01159375
transcript.pyannote[916].end 6419.02784375
transcript.pyannote[917].speaker SPEAKER_13
transcript.pyannote[917].start 6419.51721875
transcript.pyannote[917].end 6420.51284375
transcript.pyannote[918].speaker SPEAKER_13
transcript.pyannote[918].start 6420.91784375
transcript.pyannote[918].end 6425.28846875
transcript.pyannote[919].speaker SPEAKER_13
transcript.pyannote[919].start 6425.71034375
transcript.pyannote[919].end 6430.08096875
transcript.pyannote[920].speaker SPEAKER_13
transcript.pyannote[920].start 6430.48596875
transcript.pyannote[920].end 6434.45159375
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 6434.87346875
transcript.pyannote[921].end 6436.78034375
transcript.pyannote[922].speaker SPEAKER_19
transcript.pyannote[922].start 6438.09659375
transcript.pyannote[922].end 6438.45096875
transcript.pyannote[923].speaker SPEAKER_13
transcript.pyannote[923].start 6438.60284375
transcript.pyannote[923].end 6442.34909375
transcript.pyannote[924].speaker SPEAKER_13
transcript.pyannote[924].start 6442.61909375
transcript.pyannote[924].end 6443.47971875
transcript.pyannote[925].speaker SPEAKER_13
transcript.pyannote[925].start 6443.54721875
transcript.pyannote[925].end 6445.18409375
transcript.pyannote[926].speaker SPEAKER_13
transcript.pyannote[926].start 6446.39909375
transcript.pyannote[926].end 6448.60971875
transcript.pyannote[927].speaker SPEAKER_13
transcript.pyannote[927].start 6448.87971875
transcript.pyannote[927].end 6449.99346875
transcript.pyannote[928].speaker SPEAKER_13
transcript.pyannote[928].start 6450.28034375
transcript.pyannote[928].end 6453.73971875
transcript.pyannote[929].speaker SPEAKER_13
transcript.pyannote[929].start 6454.19534375
transcript.pyannote[929].end 6456.35534375
transcript.pyannote[930].speaker SPEAKER_13
transcript.pyannote[930].start 6457.73909375
transcript.pyannote[930].end 6459.57846875
transcript.pyannote[931].speaker SPEAKER_13
transcript.pyannote[931].start 6459.62909375
transcript.pyannote[931].end 6461.29971875
transcript.pyannote[932].speaker SPEAKER_13
transcript.pyannote[932].start 6461.41784375
transcript.pyannote[932].end 6463.29096875
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 6463.76346875
transcript.pyannote[933].end 6465.56909375
transcript.pyannote[934].speaker SPEAKER_13
transcript.pyannote[934].start 6465.99096875
transcript.pyannote[934].end 6467.37471875
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 6467.59409375
transcript.pyannote[935].end 6468.69096875
transcript.pyannote[936].speaker SPEAKER_13
transcript.pyannote[936].start 6469.16346875
transcript.pyannote[936].end 6470.74971875
transcript.pyannote[937].speaker SPEAKER_08
transcript.pyannote[937].start 6470.88471875
transcript.pyannote[937].end 6471.30659375
transcript.pyannote[938].speaker SPEAKER_13
transcript.pyannote[938].start 6471.47534375
transcript.pyannote[938].end 6472.82534375
transcript.pyannote[939].speaker SPEAKER_13
transcript.pyannote[939].start 6472.90971875
transcript.pyannote[939].end 6475.76159375
transcript.pyannote[940].speaker SPEAKER_13
transcript.pyannote[940].start 6476.95971875
transcript.pyannote[940].end 6481.19534375
transcript.pyannote[941].speaker SPEAKER_13
transcript.pyannote[941].start 6481.75221875
transcript.pyannote[941].end 6486.15659375
transcript.pyannote[942].speaker SPEAKER_08
transcript.pyannote[942].start 6486.15659375
transcript.pyannote[942].end 6486.59534375
transcript.pyannote[943].speaker SPEAKER_13
transcript.pyannote[943].start 6486.74721875
transcript.pyannote[943].end 6488.53596875
transcript.pyannote[944].speaker SPEAKER_13
transcript.pyannote[944].start 6488.65409375
transcript.pyannote[944].end 6490.12221875
transcript.pyannote[945].speaker SPEAKER_13
transcript.pyannote[945].start 6490.25721875
transcript.pyannote[945].end 6491.79284375
transcript.pyannote[946].speaker SPEAKER_13
transcript.pyannote[946].start 6491.94471875
transcript.pyannote[946].end 6495.23534375
transcript.pyannote[947].speaker SPEAKER_13
transcript.pyannote[947].start 6495.60659375
transcript.pyannote[947].end 6498.98159375
transcript.pyannote[948].speaker SPEAKER_13
transcript.pyannote[948].start 6499.01534375
transcript.pyannote[948].end 6501.59721875
transcript.pyannote[949].speaker SPEAKER_09
transcript.pyannote[949].start 6499.09971875
transcript.pyannote[949].end 6499.65659375
transcript.pyannote[950].speaker SPEAKER_00
transcript.pyannote[950].start 6499.65659375
transcript.pyannote[950].end 6499.72409375
transcript.pyannote[951].speaker SPEAKER_13
transcript.pyannote[951].start 6501.86721875
transcript.pyannote[951].end 6511.14846875
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 6511.55346875
transcript.pyannote[952].end 6513.30846875
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 6513.46034375
transcript.pyannote[953].end 6518.05034375
transcript.pyannote[954].speaker SPEAKER_08
transcript.pyannote[954].start 6513.83159375
transcript.pyannote[954].end 6513.86534375
transcript.pyannote[955].speaker SPEAKER_13
transcript.pyannote[955].start 6518.64096875
transcript.pyannote[955].end 6520.71659375
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 6521.86409375
transcript.pyannote[956].end 6525.93096875
transcript.pyannote[957].speaker SPEAKER_13
transcript.pyannote[957].start 6526.20096875
transcript.pyannote[957].end 6532.51221875
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 6532.79909375
transcript.pyannote[958].end 6534.09846875
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 6534.50346875
transcript.pyannote[959].end 6541.89471875
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 6542.40096875
transcript.pyannote[960].end 6544.64534375
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 6545.50596875
transcript.pyannote[961].end 6545.97846875
transcript.pyannote[962].speaker SPEAKER_20
transcript.pyannote[962].start 6546.88971875
transcript.pyannote[962].end 6547.10909375
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 6547.10909375
transcript.pyannote[963].end 6548.69534375
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 6548.94846875
transcript.pyannote[964].end 6550.85534375
transcript.pyannote[965].speaker SPEAKER_20
transcript.pyannote[965].start 6550.85534375
transcript.pyannote[965].end 6551.47971875
transcript.pyannote[966].speaker SPEAKER_13
transcript.pyannote[966].start 6551.66534375
transcript.pyannote[966].end 6557.75721875
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 6558.01034375
transcript.pyannote[967].end 6559.02284375
transcript.pyannote[968].speaker SPEAKER_13
transcript.pyannote[968].start 6559.59659375
transcript.pyannote[968].end 6560.15346875
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 6560.59221875
transcript.pyannote[969].end 6561.60471875
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 6561.80721875
transcript.pyannote[970].end 6562.31346875
transcript.pyannote[971].speaker SPEAKER_13
transcript.pyannote[971].start 6562.88721875
transcript.pyannote[971].end 6567.46034375
transcript.pyannote[972].speaker SPEAKER_13
transcript.pyannote[972].start 6568.18596875
transcript.pyannote[972].end 6572.65784375
transcript.pyannote[973].speaker SPEAKER_13
transcript.pyannote[973].start 6574.22721875
transcript.pyannote[973].end 6576.47159375
transcript.pyannote[974].speaker SPEAKER_13
transcript.pyannote[974].start 6576.64034375
transcript.pyannote[974].end 6578.26034375
transcript.pyannote[975].speaker SPEAKER_13
transcript.pyannote[975].start 6578.49659375
transcript.pyannote[975].end 6583.40721875
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 6583.57596875
transcript.pyannote[976].end 6585.65159375
transcript.pyannote[977].speaker SPEAKER_13
transcript.pyannote[977].start 6586.17471875
transcript.pyannote[977].end 6587.08596875
transcript.pyannote[978].speaker SPEAKER_13
transcript.pyannote[978].start 6587.42346875
transcript.pyannote[978].end 6588.36846875
transcript.pyannote[979].speaker SPEAKER_13
transcript.pyannote[979].start 6590.05596875
transcript.pyannote[979].end 6592.04721875
transcript.pyannote[980].speaker SPEAKER_13
transcript.pyannote[980].start 6592.75596875
transcript.pyannote[980].end 6594.39284375
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 6595.45596875
transcript.pyannote[981].end 6597.46409375
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 6598.42596875
transcript.pyannote[982].end 6600.43409375
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 6601.56471875
transcript.pyannote[983].end 6602.25659375
transcript.pyannote[984].speaker SPEAKER_13
transcript.pyannote[984].start 6602.89784375
transcript.pyannote[984].end 6607.53846875
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 6607.89284375
transcript.pyannote[985].end 6609.74909375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 6610.62659375
transcript.pyannote[986].end 6613.10721875
transcript.pyannote[987].speaker SPEAKER_20
transcript.pyannote[987].start 6613.78221875
transcript.pyannote[987].end 6614.79471875
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 6614.42346875
transcript.pyannote[988].end 6615.50346875
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 6615.87471875
transcript.pyannote[989].end 6618.38909375
transcript.pyannote[990].speaker SPEAKER_13
transcript.pyannote[990].start 6619.08096875
transcript.pyannote[990].end 6619.43534375
transcript.pyannote[991].speaker SPEAKER_13
transcript.pyannote[991].start 6619.87409375
transcript.pyannote[991].end 6620.24534375
transcript.pyannote[992].speaker SPEAKER_13
transcript.pyannote[992].start 6620.58284375
transcript.pyannote[992].end 6622.67534375
transcript.pyannote[993].speaker SPEAKER_13
transcript.pyannote[993].start 6623.11409375
transcript.pyannote[993].end 6628.73346875
transcript.pyannote[994].speaker SPEAKER_13
transcript.pyannote[994].start 6628.96971875
transcript.pyannote[994].end 6634.18409375
transcript.pyannote[995].speaker SPEAKER_13
transcript.pyannote[995].start 6634.26846875
transcript.pyannote[995].end 6639.98909375
transcript.pyannote[996].speaker SPEAKER_13
transcript.pyannote[996].start 6640.20846875
transcript.pyannote[996].end 6641.42346875
transcript.pyannote[997].speaker SPEAKER_13
transcript.pyannote[997].start 6641.82846875
transcript.pyannote[997].end 6642.80721875
transcript.pyannote[998].speaker SPEAKER_13
transcript.pyannote[998].start 6643.12784375
transcript.pyannote[998].end 6646.18221875
transcript.pyannote[999].speaker SPEAKER_13
transcript.pyannote[999].start 6646.33409375
transcript.pyannote[999].end 6646.99221875
transcript.pyannote[1000].speaker SPEAKER_13
transcript.pyannote[1000].start 6647.68409375
transcript.pyannote[1000].end 6649.06784375
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 6649.32096875
transcript.pyannote[1001].end 6650.36721875
transcript.pyannote[1002].speaker SPEAKER_13
transcript.pyannote[1002].start 6651.10971875
transcript.pyannote[1002].end 6652.54409375
transcript.pyannote[1003].speaker SPEAKER_13
transcript.pyannote[1003].start 6652.84784375
transcript.pyannote[1003].end 6653.57346875
transcript.pyannote[1004].speaker SPEAKER_13
transcript.pyannote[1004].start 6654.09659375
transcript.pyannote[1004].end 6656.03721875
transcript.pyannote[1005].speaker SPEAKER_13
transcript.pyannote[1005].start 6656.52659375
transcript.pyannote[1005].end 6658.39971875
transcript.pyannote[1006].speaker SPEAKER_13
transcript.pyannote[1006].start 6659.10846875
transcript.pyannote[1006].end 6659.80034375
transcript.pyannote[1007].speaker SPEAKER_13
transcript.pyannote[1007].start 6660.49221875
transcript.pyannote[1007].end 6662.29784375
transcript.pyannote[1008].speaker SPEAKER_13
transcript.pyannote[1008].start 6662.61846875
transcript.pyannote[1008].end 6667.14096875
transcript.pyannote[1009].speaker SPEAKER_13
transcript.pyannote[1009].start 6667.17471875
transcript.pyannote[1009].end 6671.30909375
transcript.pyannote[1010].speaker SPEAKER_13
transcript.pyannote[1010].start 6671.96721875
transcript.pyannote[1010].end 6673.50284375
transcript.pyannote[1011].speaker SPEAKER_13
transcript.pyannote[1011].start 6673.92471875
transcript.pyannote[1011].end 6677.82284375
transcript.pyannote[1012].speaker SPEAKER_13
transcript.pyannote[1012].start 6678.10971875
transcript.pyannote[1012].end 6679.88159375
transcript.pyannote[1013].speaker SPEAKER_13
transcript.pyannote[1013].start 6680.33721875
transcript.pyannote[1013].end 6680.75909375
transcript.pyannote[1014].speaker SPEAKER_13
transcript.pyannote[1014].start 6681.53534375
transcript.pyannote[1014].end 6682.85159375
transcript.pyannote[1015].speaker SPEAKER_13
transcript.pyannote[1015].start 6683.23971875
transcript.pyannote[1015].end 6685.01159375
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 6685.45034375
transcript.pyannote[1016].end 6686.69909375
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 6687.00284375
transcript.pyannote[1017].end 6687.67784375
transcript.pyannote[1018].speaker SPEAKER_09
transcript.pyannote[1018].start 6687.81284375
transcript.pyannote[1018].end 6688.06596875
transcript.pyannote[1019].speaker SPEAKER_13
transcript.pyannote[1019].start 6688.58909375
transcript.pyannote[1019].end 6690.36096875
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 6690.71534375
transcript.pyannote[1020].end 6693.36471875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 6693.80346875
transcript.pyannote[1021].end 6695.03534375
transcript.pyannote[1022].speaker SPEAKER_13
transcript.pyannote[1022].start 6695.33909375
transcript.pyannote[1022].end 6700.38471875
transcript.pyannote[1023].speaker SPEAKER_13
transcript.pyannote[1023].start 6700.46909375
transcript.pyannote[1023].end 6700.50284375
transcript.pyannote[1024].speaker SPEAKER_08
transcript.pyannote[1024].start 6700.50284375
transcript.pyannote[1024].end 6700.82346875
transcript.pyannote[1025].speaker SPEAKER_13
transcript.pyannote[1025].start 6700.82346875
transcript.pyannote[1025].end 6701.75159375
transcript.pyannote[1026].speaker SPEAKER_08
transcript.pyannote[1026].start 6702.34221875
transcript.pyannote[1026].end 6702.42659375
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 6702.42659375
transcript.pyannote[1027].end 6706.17284375
transcript.pyannote[1028].speaker SPEAKER_08
transcript.pyannote[1028].start 6702.44346875
transcript.pyannote[1028].end 6702.67971875
transcript.pyannote[1029].speaker SPEAKER_13
transcript.pyannote[1029].start 6706.25721875
transcript.pyannote[1029].end 6708.87284375
transcript.pyannote[1030].speaker SPEAKER_13
transcript.pyannote[1030].start 6709.44659375
transcript.pyannote[1030].end 6713.04096875
transcript.pyannote[1031].speaker SPEAKER_20
transcript.pyannote[1031].start 6714.34034375
transcript.pyannote[1031].end 6720.41534375
transcript.pyannote[1032].speaker SPEAKER_13
transcript.pyannote[1032].start 6715.47096875
transcript.pyannote[1032].end 6715.84221875
transcript.pyannote[1033].speaker SPEAKER_13
transcript.pyannote[1033].start 6717.22596875
transcript.pyannote[1033].end 6718.10346875
transcript.pyannote[1034].speaker SPEAKER_13
transcript.pyannote[1034].start 6720.61784375
transcript.pyannote[1034].end 6721.09034375
transcript.pyannote[1035].speaker SPEAKER_13
transcript.pyannote[1035].start 6721.47846875
transcript.pyannote[1035].end 6723.04784375
transcript.pyannote[1036].speaker SPEAKER_13
transcript.pyannote[1036].start 6723.43596875
transcript.pyannote[1036].end 6729.03846875
transcript.pyannote[1037].speaker SPEAKER_13
transcript.pyannote[1037].start 6729.34221875
transcript.pyannote[1037].end 6730.13534375
transcript.pyannote[1038].speaker SPEAKER_13
transcript.pyannote[1038].start 6730.25346875
transcript.pyannote[1038].end 6733.05471875
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 6733.39221875
transcript.pyannote[1039].end 6734.28659375
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 6734.53971875
transcript.pyannote[1040].end 6736.05846875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 6736.80096875
transcript.pyannote[1041].end 6738.94409375
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 6739.93971875
transcript.pyannote[1042].end 6741.01971875
transcript.pyannote[1043].speaker SPEAKER_20
transcript.pyannote[1043].start 6741.01971875
transcript.pyannote[1043].end 6742.58909375
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 6742.63971875
transcript.pyannote[1044].end 6744.83346875
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 6744.93471875
transcript.pyannote[1045].end 6745.98096875
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 6746.57159375
transcript.pyannote[1046].end 6748.02284375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 6748.56284375
transcript.pyannote[1047].end 6751.95471875
transcript.pyannote[1048].speaker SPEAKER_13
transcript.pyannote[1048].start 6752.44409375
transcript.pyannote[1048].end 6753.47346875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 6754.06409375
transcript.pyannote[1049].end 6754.55346875
transcript.pyannote[1050].speaker SPEAKER_13
transcript.pyannote[1050].start 6755.85284375
transcript.pyannote[1050].end 6758.26596875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 6759.05909375
transcript.pyannote[1051].end 6759.64971875
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 6759.73409375
transcript.pyannote[1052].end 6760.15596875
transcript.pyannote[1053].speaker SPEAKER_13
transcript.pyannote[1053].start 6760.32471875
transcript.pyannote[1053].end 6761.64096875
transcript.pyannote[1054].speaker SPEAKER_13
transcript.pyannote[1054].start 6761.97846875
transcript.pyannote[1054].end 6762.61971875
transcript.pyannote[1055].speaker SPEAKER_13
transcript.pyannote[1055].start 6763.34534375
transcript.pyannote[1055].end 6764.89784375
transcript.pyannote[1056].speaker SPEAKER_13
transcript.pyannote[1056].start 6765.20159375
transcript.pyannote[1056].end 6767.09159375
transcript.pyannote[1057].speaker SPEAKER_13
transcript.pyannote[1057].start 6768.00284375
transcript.pyannote[1057].end 6772.57596875
transcript.pyannote[1058].speaker SPEAKER_13
transcript.pyannote[1058].start 6772.91346875
transcript.pyannote[1058].end 6774.26346875
transcript.pyannote[1059].speaker SPEAKER_13
transcript.pyannote[1059].start 6774.88784375
transcript.pyannote[1059].end 6780.77721875
transcript.pyannote[1060].speaker SPEAKER_13
transcript.pyannote[1060].start 6781.99221875
transcript.pyannote[1060].end 6783.08909375
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 6783.71346875
transcript.pyannote[1061].end 6786.19409375
transcript.pyannote[1062].speaker SPEAKER_00
transcript.pyannote[1062].start 6784.03409375
transcript.pyannote[1062].end 6784.05096875
transcript.pyannote[1063].speaker SPEAKER_13
transcript.pyannote[1063].start 6786.73409375
transcript.pyannote[1063].end 6787.25721875
transcript.pyannote[1064].speaker SPEAKER_13
transcript.pyannote[1064].start 6787.83096875
transcript.pyannote[1064].end 6788.80971875
transcript.pyannote[1065].speaker SPEAKER_13
transcript.pyannote[1065].start 6789.01221875
transcript.pyannote[1065].end 6793.16346875
transcript.pyannote[1066].speaker SPEAKER_13
transcript.pyannote[1066].start 6794.59784375
transcript.pyannote[1066].end 6799.33971875
transcript.pyannote[1067].speaker SPEAKER_13
transcript.pyannote[1067].start 6799.84596875
transcript.pyannote[1067].end 6800.90909375
transcript.pyannote[1068].speaker SPEAKER_13
transcript.pyannote[1068].start 6801.82034375
transcript.pyannote[1068].end 6802.54596875
transcript.pyannote[1069].speaker SPEAKER_20
transcript.pyannote[1069].start 6803.82846875
transcript.pyannote[1069].end 6805.97159375
transcript.pyannote[1070].speaker SPEAKER_13
transcript.pyannote[1070].start 6804.97596875
transcript.pyannote[1070].end 6808.90784375
transcript.pyannote[1071].speaker SPEAKER_20
transcript.pyannote[1071].start 6809.63346875
transcript.pyannote[1071].end 6810.34221875
transcript.pyannote[1072].speaker SPEAKER_13
transcript.pyannote[1072].start 6810.89909375
transcript.pyannote[1072].end 6813.54846875
transcript.pyannote[1073].speaker SPEAKER_13
transcript.pyannote[1073].start 6814.67909375
transcript.pyannote[1073].end 6816.41721875
transcript.pyannote[1074].speaker SPEAKER_13
transcript.pyannote[1074].start 6817.46346875
transcript.pyannote[1074].end 6823.77471875
transcript.pyannote[1075].speaker SPEAKER_13
transcript.pyannote[1075].start 6824.26409375
transcript.pyannote[1075].end 6826.87971875
transcript.pyannote[1076].speaker SPEAKER_13
transcript.pyannote[1076].start 6827.04846875
transcript.pyannote[1076].end 6831.31784375
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 6832.22909375
transcript.pyannote[1077].end 6843.56909375
transcript.pyannote[1078].speaker SPEAKER_13
transcript.pyannote[1078].start 6843.83909375
transcript.pyannote[1078].end 6846.53909375
transcript.pyannote[1079].speaker SPEAKER_13
transcript.pyannote[1079].start 6847.18034375
transcript.pyannote[1079].end 6848.78346875
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 6849.32346875
transcript.pyannote[1080].end 6855.02721875
transcript.pyannote[1081].speaker SPEAKER_20
transcript.pyannote[1081].start 6856.46159375
transcript.pyannote[1081].end 6856.93409375
transcript.pyannote[1082].speaker SPEAKER_13
transcript.pyannote[1082].start 6856.52909375
transcript.pyannote[1082].end 6856.90034375
transcript.pyannote[1083].speaker SPEAKER_13
transcript.pyannote[1083].start 6856.93409375
transcript.pyannote[1083].end 6856.96784375
transcript.pyannote[1084].speaker SPEAKER_20
transcript.pyannote[1084].start 6856.96784375
transcript.pyannote[1084].end 6857.03534375
transcript.pyannote[1085].speaker SPEAKER_20
transcript.pyannote[1085].start 6857.13659375
transcript.pyannote[1085].end 6858.50346875
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 6857.84534375
transcript.pyannote[1086].end 6859.02659375
transcript.pyannote[1087].speaker SPEAKER_20
transcript.pyannote[1087].start 6859.46534375
transcript.pyannote[1087].end 6861.91221875
transcript.pyannote[1088].speaker SPEAKER_20
transcript.pyannote[1088].start 6863.00909375
transcript.pyannote[1088].end 6864.42659375
transcript.pyannote[1089].speaker SPEAKER_13
transcript.pyannote[1089].start 6865.11846875
transcript.pyannote[1089].end 6866.35034375
transcript.pyannote[1090].speaker SPEAKER_20
transcript.pyannote[1090].start 6865.32096875
transcript.pyannote[1090].end 6866.11409375
transcript.pyannote[1091].speaker SPEAKER_13
transcript.pyannote[1091].start 6868.25721875
transcript.pyannote[1091].end 6871.19346875
transcript.pyannote[1092].speaker SPEAKER_13
transcript.pyannote[1092].start 6871.66596875
transcript.pyannote[1092].end 6876.30659375
transcript.pyannote[1093].speaker SPEAKER_13
transcript.pyannote[1093].start 6879.22596875
transcript.pyannote[1093].end 6880.06971875
transcript.pyannote[1094].speaker SPEAKER_13
transcript.pyannote[1094].start 6880.23846875
transcript.pyannote[1094].end 6882.48284375
transcript.pyannote[1095].speaker SPEAKER_13
transcript.pyannote[1095].start 6882.66846875
transcript.pyannote[1095].end 6887.37659375
transcript.pyannote[1096].speaker SPEAKER_13
transcript.pyannote[1096].start 6887.96721875
transcript.pyannote[1096].end 6890.12721875
transcript.pyannote[1097].speaker SPEAKER_13
transcript.pyannote[1097].start 6891.03846875
transcript.pyannote[1097].end 6891.52784375
transcript.pyannote[1098].speaker SPEAKER_20
transcript.pyannote[1098].start 6892.03409375
transcript.pyannote[1098].end 6892.65846875
transcript.pyannote[1099].speaker SPEAKER_13
transcript.pyannote[1099].start 6892.05096875
transcript.pyannote[1099].end 6893.01284375
transcript.pyannote[1100].speaker SPEAKER_20
transcript.pyannote[1100].start 6893.40096875
transcript.pyannote[1100].end 6898.42971875
transcript.pyannote[1101].speaker SPEAKER_20
transcript.pyannote[1101].start 6898.85159375
transcript.pyannote[1101].end 6903.05346875
transcript.pyannote[1102].speaker SPEAKER_13
transcript.pyannote[1102].start 6904.16721875
transcript.pyannote[1102].end 6905.04471875
transcript.pyannote[1103].speaker SPEAKER_13
transcript.pyannote[1103].start 6906.78284375
transcript.pyannote[1103].end 6907.71096875
transcript.pyannote[1104].speaker SPEAKER_13
transcript.pyannote[1104].start 6908.11596875
transcript.pyannote[1104].end 6911.84534375
transcript.pyannote[1105].speaker SPEAKER_13
transcript.pyannote[1105].start 6912.55409375
transcript.pyannote[1105].end 6915.76034375
transcript.pyannote[1106].speaker SPEAKER_13
transcript.pyannote[1106].start 6917.43096875
transcript.pyannote[1106].end 6917.98784375
transcript.pyannote[1107].speaker SPEAKER_13
transcript.pyannote[1107].start 6918.61221875
transcript.pyannote[1107].end 6919.92846875
transcript.pyannote[1108].speaker SPEAKER_13
transcript.pyannote[1108].start 6920.36721875
transcript.pyannote[1108].end 6925.17659375
transcript.pyannote[1109].speaker SPEAKER_13
transcript.pyannote[1109].start 6926.35784375
transcript.pyannote[1109].end 6927.92721875
transcript.pyannote[1110].speaker SPEAKER_13
transcript.pyannote[1110].start 6928.65284375
transcript.pyannote[1110].end 6930.50909375
transcript.pyannote[1111].speaker SPEAKER_13
transcript.pyannote[1111].start 6931.45409375
transcript.pyannote[1111].end 6932.21346875
transcript.pyannote[1112].speaker SPEAKER_13
transcript.pyannote[1112].start 6932.98971875
transcript.pyannote[1112].end 6935.09909375
transcript.pyannote[1113].speaker SPEAKER_13
transcript.pyannote[1113].start 6935.60534375
transcript.pyannote[1113].end 6936.71909375
transcript.pyannote[1114].speaker SPEAKER_13
transcript.pyannote[1114].start 6937.37721875
transcript.pyannote[1114].end 6938.57534375
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 6938.92971875
transcript.pyannote[1115].end 6942.64221875
transcript.pyannote[1116].speaker SPEAKER_13
transcript.pyannote[1116].start 6943.40159375
transcript.pyannote[1116].end 6945.00471875
transcript.pyannote[1117].speaker SPEAKER_13
transcript.pyannote[1117].start 6945.56159375
transcript.pyannote[1117].end 6948.05909375
transcript.pyannote[1118].speaker SPEAKER_13
transcript.pyannote[1118].start 6948.71721875
transcript.pyannote[1118].end 6951.46784375
transcript.pyannote[1119].speaker SPEAKER_13
transcript.pyannote[1119].start 6952.21034375
transcript.pyannote[1119].end 6954.10034375
transcript.pyannote[1120].speaker SPEAKER_13
transcript.pyannote[1120].start 6954.75846875
transcript.pyannote[1120].end 6956.22659375
transcript.pyannote[1121].speaker SPEAKER_13
transcript.pyannote[1121].start 6956.51346875
transcript.pyannote[1121].end 6957.66096875
transcript.pyannote[1122].speaker SPEAKER_13
transcript.pyannote[1122].start 6959.23034375
transcript.pyannote[1122].end 6960.78284375
transcript.pyannote[1123].speaker SPEAKER_13
transcript.pyannote[1123].start 6961.12034375
transcript.pyannote[1123].end 6962.97659375
transcript.pyannote[1124].speaker SPEAKER_13
transcript.pyannote[1124].start 6963.63471875
transcript.pyannote[1124].end 6964.69784375
transcript.pyannote[1125].speaker SPEAKER_13
transcript.pyannote[1125].start 6964.96784375
transcript.pyannote[1125].end 6966.21659375
transcript.pyannote[1126].speaker SPEAKER_13
transcript.pyannote[1126].start 6966.79034375
transcript.pyannote[1126].end 6968.88284375
transcript.pyannote[1127].speaker SPEAKER_13
transcript.pyannote[1127].start 6970.24971875
transcript.pyannote[1127].end 6971.61659375
transcript.pyannote[1128].speaker SPEAKER_20
transcript.pyannote[1128].start 6971.85284375
transcript.pyannote[1128].end 6972.40971875
transcript.pyannote[1129].speaker SPEAKER_20
transcript.pyannote[1129].start 6972.78096875
transcript.pyannote[1129].end 6973.72596875
transcript.pyannote[1130].speaker SPEAKER_13
transcript.pyannote[1130].start 6973.05096875
transcript.pyannote[1130].end 6975.00846875
transcript.pyannote[1131].speaker SPEAKER_20
transcript.pyannote[1131].start 6974.94096875
transcript.pyannote[1131].end 6982.07909375
transcript.pyannote[1132].speaker SPEAKER_13
transcript.pyannote[1132].start 6981.79221875
transcript.pyannote[1132].end 6984.05346875
transcript.pyannote[1133].speaker SPEAKER_13
transcript.pyannote[1133].start 6984.91409375
transcript.pyannote[1133].end 6986.41596875
transcript.pyannote[1134].speaker SPEAKER_20
transcript.pyannote[1134].start 6985.11659375
transcript.pyannote[1134].end 6989.50409375
transcript.pyannote[1135].speaker SPEAKER_13
transcript.pyannote[1135].start 6988.71096875
transcript.pyannote[1135].end 6989.53784375
transcript.pyannote[1136].speaker SPEAKER_20
transcript.pyannote[1136].start 6989.53784375
transcript.pyannote[1136].end 6990.02721875
transcript.pyannote[1137].speaker SPEAKER_13
transcript.pyannote[1137].start 6990.02721875
transcript.pyannote[1137].end 6992.03534375
transcript.pyannote[1138].speaker SPEAKER_13
transcript.pyannote[1138].start 6992.59221875
transcript.pyannote[1138].end 6993.57096875
transcript.pyannote[1139].speaker SPEAKER_13
transcript.pyannote[1139].start 6994.16159375
transcript.pyannote[1139].end 7002.97034375
transcript.pyannote[1140].speaker SPEAKER_20
transcript.pyannote[1140].start 7003.74659375
transcript.pyannote[1140].end 7006.78409375
transcript.pyannote[1141].speaker SPEAKER_13
transcript.pyannote[1141].start 7006.80096875
transcript.pyannote[1141].end 7010.19284375
transcript.pyannote[1142].speaker SPEAKER_20
transcript.pyannote[1142].start 7008.18471875
transcript.pyannote[1142].end 7008.67409375
transcript.pyannote[1143].speaker SPEAKER_20
transcript.pyannote[1143].start 7009.82159375
transcript.pyannote[1143].end 7011.82971875
transcript.pyannote[1144].speaker SPEAKER_13
transcript.pyannote[1144].start 7011.64409375
transcript.pyannote[1144].end 7013.07846875
transcript.pyannote[1145].speaker SPEAKER_20
transcript.pyannote[1145].start 7013.28096875
transcript.pyannote[1145].end 7013.53409375
transcript.pyannote[1146].speaker SPEAKER_13
transcript.pyannote[1146].start 7013.53409375
transcript.pyannote[1146].end 7014.56346875
transcript.pyannote[1147].speaker SPEAKER_13
transcript.pyannote[1147].start 7014.95159375
transcript.pyannote[1147].end 7016.28471875
transcript.pyannote[1148].speaker SPEAKER_13
transcript.pyannote[1148].start 7016.36909375
transcript.pyannote[1148].end 7017.60096875
transcript.pyannote[1149].speaker SPEAKER_13
transcript.pyannote[1149].start 7018.17471875
transcript.pyannote[1149].end 7019.72721875
transcript.pyannote[1150].speaker SPEAKER_13
transcript.pyannote[1150].start 7020.09846875
transcript.pyannote[1150].end 7021.21221875
transcript.pyannote[1151].speaker SPEAKER_13
transcript.pyannote[1151].start 7021.53284375
transcript.pyannote[1151].end 7022.84909375
transcript.pyannote[1152].speaker SPEAKER_13
transcript.pyannote[1152].start 7022.96721875
transcript.pyannote[1152].end 7023.89534375
transcript.pyannote[1153].speaker SPEAKER_13
transcript.pyannote[1153].start 7023.96284375
transcript.pyannote[1153].end 7024.03034375
transcript.pyannote[1154].speaker SPEAKER_13
transcript.pyannote[1154].start 7024.04721875
transcript.pyannote[1154].end 7030.93221875
transcript.pyannote[1155].speaker SPEAKER_06
transcript.pyannote[1155].start 7032.48471875
transcript.pyannote[1155].end 7040.33159375
transcript.pyannote[1156].speaker SPEAKER_23
transcript.pyannote[1156].start 7052.11034375
transcript.pyannote[1156].end 7054.27034375
transcript.pyannote[1157].speaker SPEAKER_06
transcript.pyannote[1157].start 7054.69221875
transcript.pyannote[1157].end 7056.22784375
transcript.pyannote[1158].speaker SPEAKER_23
transcript.pyannote[1158].start 7060.54784375
transcript.pyannote[1158].end 7061.22284375
transcript.pyannote[1159].speaker SPEAKER_23
transcript.pyannote[1159].start 7061.83034375
transcript.pyannote[1159].end 7079.04284375
transcript.pyannote[1160].speaker SPEAKER_06
transcript.pyannote[1160].start 7062.92721875
transcript.pyannote[1160].end 7062.97784375
transcript.pyannote[1161].speaker SPEAKER_17
transcript.pyannote[1161].start 7062.97784375
transcript.pyannote[1161].end 7063.99034375
transcript.pyannote[1162].speaker SPEAKER_06
transcript.pyannote[1162].start 7063.99034375
transcript.pyannote[1162].end 7064.00721875
transcript.pyannote[1163].speaker SPEAKER_23
transcript.pyannote[1163].start 7079.05971875
transcript.pyannote[1163].end 7079.46471875
transcript.pyannote[1164].speaker SPEAKER_23
transcript.pyannote[1164].start 7079.81909375
transcript.pyannote[1164].end 7138.39221875
transcript.pyannote[1165].speaker SPEAKER_23
transcript.pyannote[1165].start 7138.71284375
transcript.pyannote[1165].end 7154.72721875
transcript.pyannote[1166].speaker SPEAKER_23
transcript.pyannote[1166].start 7155.11534375
transcript.pyannote[1166].end 7160.56596875
transcript.pyannote[1167].speaker SPEAKER_23
transcript.pyannote[1167].start 7160.93721875
transcript.pyannote[1167].end 7161.46034375
transcript.pyannote[1168].speaker SPEAKER_23
transcript.pyannote[1168].start 7161.62909375
transcript.pyannote[1168].end 7164.95346875
transcript.pyannote[1169].speaker SPEAKER_20
transcript.pyannote[1169].start 7164.95346875
transcript.pyannote[1169].end 7164.97034375
transcript.pyannote[1170].speaker SPEAKER_23
transcript.pyannote[1170].start 7165.56096875
transcript.pyannote[1170].end 7166.03346875
transcript.pyannote[1171].speaker SPEAKER_20
transcript.pyannote[1171].start 7166.03346875
transcript.pyannote[1171].end 7173.55971875
transcript.pyannote[1172].speaker SPEAKER_23
transcript.pyannote[1172].start 7168.88534375
transcript.pyannote[1172].end 7169.23971875
transcript.pyannote[1173].speaker SPEAKER_23
transcript.pyannote[1173].start 7172.27721875
transcript.pyannote[1173].end 7172.91846875
transcript.pyannote[1174].speaker SPEAKER_23
transcript.pyannote[1174].start 7174.03221875
transcript.pyannote[1174].end 7178.23409375
transcript.pyannote[1175].speaker SPEAKER_20
transcript.pyannote[1175].start 7175.61846875
transcript.pyannote[1175].end 7176.49596875
transcript.pyannote[1176].speaker SPEAKER_23
transcript.pyannote[1176].start 7178.55471875
transcript.pyannote[1176].end 7179.17909375
transcript.pyannote[1177].speaker SPEAKER_20
transcript.pyannote[1177].start 7178.57159375
transcript.pyannote[1177].end 7179.68534375
transcript.pyannote[1178].speaker SPEAKER_23
transcript.pyannote[1178].start 7179.68534375
transcript.pyannote[1178].end 7184.39346875
transcript.pyannote[1179].speaker SPEAKER_23
transcript.pyannote[1179].start 7185.62534375
transcript.pyannote[1179].end 7186.70534375
transcript.pyannote[1180].speaker SPEAKER_20
transcript.pyannote[1180].start 7185.67596875
transcript.pyannote[1180].end 7199.71596875
transcript.pyannote[1181].speaker SPEAKER_20
transcript.pyannote[1181].start 7200.15471875
transcript.pyannote[1181].end 7222.53096875
transcript.pyannote[1182].speaker SPEAKER_01
transcript.pyannote[1182].start 7206.71909375
transcript.pyannote[1182].end 7206.97221875
transcript.pyannote[1183].speaker SPEAKER_23
transcript.pyannote[1183].start 7218.54846875
transcript.pyannote[1183].end 7219.10534375
transcript.pyannote[1184].speaker SPEAKER_23
transcript.pyannote[1184].start 7220.53971875
transcript.pyannote[1184].end 7271.73846875
transcript.pyannote[1185].speaker SPEAKER_20
transcript.pyannote[1185].start 7226.78346875
transcript.pyannote[1185].end 7227.18846875
transcript.pyannote[1186].speaker SPEAKER_00
transcript.pyannote[1186].start 7230.41159375
transcript.pyannote[1186].end 7231.01909375
transcript.pyannote[1187].speaker SPEAKER_00
transcript.pyannote[1187].start 7237.51596875
transcript.pyannote[1187].end 7237.88721875
transcript.pyannote[1188].speaker SPEAKER_23
transcript.pyannote[1188].start 7271.99159375
transcript.pyannote[1188].end 7306.85534375
transcript.pyannote[1189].speaker SPEAKER_20
transcript.pyannote[1189].start 7305.77534375
transcript.pyannote[1189].end 7319.37659375
transcript.pyannote[1190].speaker SPEAKER_23
transcript.pyannote[1190].start 7318.68471875
transcript.pyannote[1190].end 7394.38596875
transcript.pyannote[1191].speaker SPEAKER_20
transcript.pyannote[1191].start 7322.24534375
transcript.pyannote[1191].end 7322.54909375
transcript.pyannote[1192].speaker SPEAKER_00
transcript.pyannote[1192].start 7341.01034375
transcript.pyannote[1192].end 7341.33096875
transcript.pyannote[1193].speaker SPEAKER_00
transcript.pyannote[1193].start 7345.02659375
transcript.pyannote[1193].end 7346.76471875
transcript.pyannote[1194].speaker SPEAKER_20
transcript.pyannote[1194].start 7393.49159375
transcript.pyannote[1194].end 7400.96721875
transcript.pyannote[1195].speaker SPEAKER_23
transcript.pyannote[1195].start 7395.88784375
transcript.pyannote[1195].end 7397.86221875
transcript.pyannote[1196].speaker SPEAKER_23
transcript.pyannote[1196].start 7401.11909375
transcript.pyannote[1196].end 7403.04284375
transcript.pyannote[1197].speaker SPEAKER_20
transcript.pyannote[1197].start 7403.76846875
transcript.pyannote[1197].end 7406.18159375
transcript.pyannote[1198].speaker SPEAKER_23
transcript.pyannote[1198].start 7405.82721875
transcript.pyannote[1198].end 7407.61596875
transcript.pyannote[1199].speaker SPEAKER_20
transcript.pyannote[1199].start 7407.56534375
transcript.pyannote[1199].end 7409.75909375
transcript.pyannote[1200].speaker SPEAKER_23
transcript.pyannote[1200].start 7409.25284375
transcript.pyannote[1200].end 7410.46784375
transcript.pyannote[1201].speaker SPEAKER_20
transcript.pyannote[1201].start 7411.32846875
transcript.pyannote[1201].end 7415.64846875
transcript.pyannote[1202].speaker SPEAKER_20
transcript.pyannote[1202].start 7416.07034375
transcript.pyannote[1202].end 7418.29784375
transcript.pyannote[1203].speaker SPEAKER_23
transcript.pyannote[1203].start 7418.53409375
transcript.pyannote[1203].end 7438.07534375
transcript.pyannote[1204].speaker SPEAKER_00
transcript.pyannote[1204].start 7428.37221875
transcript.pyannote[1204].end 7429.03034375
transcript.pyannote[1205].speaker SPEAKER_20
transcript.pyannote[1205].start 7429.03034375
transcript.pyannote[1205].end 7429.41846875
transcript.pyannote[1206].speaker SPEAKER_00
transcript.pyannote[1206].start 7429.41846875
transcript.pyannote[1206].end 7429.53659375
transcript.pyannote[1207].speaker SPEAKER_20
transcript.pyannote[1207].start 7436.86034375
transcript.pyannote[1207].end 7441.33221875
transcript.pyannote[1208].speaker SPEAKER_23
transcript.pyannote[1208].start 7440.91034375
transcript.pyannote[1208].end 7479.89159375
transcript.pyannote[1209].speaker SPEAKER_20
transcript.pyannote[1209].start 7441.34909375
transcript.pyannote[1209].end 7442.34471875
transcript.pyannote[1210].speaker SPEAKER_20
transcript.pyannote[1210].start 7444.65659375
transcript.pyannote[1210].end 7444.94346875
transcript.pyannote[1211].speaker SPEAKER_23
transcript.pyannote[1211].start 7480.46534375
transcript.pyannote[1211].end 7484.90346875
transcript.pyannote[1212].speaker SPEAKER_20
transcript.pyannote[1212].start 7485.62909375
transcript.pyannote[1212].end 7500.24284375
transcript.pyannote[1213].speaker SPEAKER_23
transcript.pyannote[1213].start 7487.97471875
transcript.pyannote[1213].end 7488.17721875
transcript.pyannote[1214].speaker SPEAKER_18
transcript.pyannote[1214].start 7488.17721875
transcript.pyannote[1214].end 7488.24471875
transcript.pyannote[1215].speaker SPEAKER_23
transcript.pyannote[1215].start 7488.24471875
transcript.pyannote[1215].end 7488.64971875
transcript.pyannote[1216].speaker SPEAKER_18
transcript.pyannote[1216].start 7488.64971875
transcript.pyannote[1216].end 7488.70034375
transcript.pyannote[1217].speaker SPEAKER_23
transcript.pyannote[1217].start 7489.57784375
transcript.pyannote[1217].end 7490.89409375
transcript.pyannote[1218].speaker SPEAKER_23
transcript.pyannote[1218].start 7492.02471875
transcript.pyannote[1218].end 7492.51409375
transcript.pyannote[1219].speaker SPEAKER_23
transcript.pyannote[1219].start 7499.80409375
transcript.pyannote[1219].end 7501.25534375
transcript.pyannote[1220].speaker SPEAKER_20
transcript.pyannote[1220].start 7501.39034375
transcript.pyannote[1220].end 7507.31346875
transcript.pyannote[1221].speaker SPEAKER_23
transcript.pyannote[1221].start 7505.69346875
transcript.pyannote[1221].end 7509.01784375
transcript.pyannote[1222].speaker SPEAKER_23
transcript.pyannote[1222].start 7509.33846875
transcript.pyannote[1222].end 7517.03346875
transcript.pyannote[1223].speaker SPEAKER_18
transcript.pyannote[1223].start 7512.81471875
transcript.pyannote[1223].end 7514.28284375
transcript.pyannote[1224].speaker SPEAKER_18
transcript.pyannote[1224].start 7515.63284375
transcript.pyannote[1224].end 7518.14721875
transcript.pyannote[1225].speaker SPEAKER_23
transcript.pyannote[1225].start 7518.87284375
transcript.pyannote[1225].end 7519.78409375
transcript.pyannote[1226].speaker SPEAKER_18
transcript.pyannote[1226].start 7519.49721875
transcript.pyannote[1226].end 7520.86409375
transcript.pyannote[1227].speaker SPEAKER_23
transcript.pyannote[1227].start 7522.04534375
transcript.pyannote[1227].end 7522.82159375
transcript.pyannote[1228].speaker SPEAKER_23
transcript.pyannote[1228].start 7522.92284375
transcript.pyannote[1228].end 7531.19159375
transcript.pyannote[1229].speaker SPEAKER_20
transcript.pyannote[1229].start 7531.47846875
transcript.pyannote[1229].end 7540.35471875
transcript.pyannote[1230].speaker SPEAKER_23
transcript.pyannote[1230].start 7539.29159375
transcript.pyannote[1230].end 7541.29971875
transcript.pyannote[1231].speaker SPEAKER_23
transcript.pyannote[1231].start 7542.09284375
transcript.pyannote[1231].end 7545.95721875
transcript.pyannote[1232].speaker SPEAKER_20
transcript.pyannote[1232].start 7546.19346875
transcript.pyannote[1232].end 7549.48409375
transcript.pyannote[1233].speaker SPEAKER_23
transcript.pyannote[1233].start 7549.07909375
transcript.pyannote[1233].end 7550.78346875
transcript.pyannote[1234].speaker SPEAKER_20
transcript.pyannote[1234].start 7549.50096875
transcript.pyannote[1234].end 7549.51784375
transcript.pyannote[1235].speaker SPEAKER_20
transcript.pyannote[1235].start 7551.32346875
transcript.pyannote[1235].end 7556.97659375
transcript.pyannote[1236].speaker SPEAKER_23
transcript.pyannote[1236].start 7556.74034375
transcript.pyannote[1236].end 7560.87471875
transcript.pyannote[1237].speaker SPEAKER_20
transcript.pyannote[1237].start 7560.28409375
transcript.pyannote[1237].end 7563.65909375
transcript.pyannote[1238].speaker SPEAKER_23
transcript.pyannote[1238].start 7563.18659375
transcript.pyannote[1238].end 7563.60846875
transcript.pyannote[1239].speaker SPEAKER_23
transcript.pyannote[1239].start 7563.65909375
transcript.pyannote[1239].end 7600.24409375
transcript.pyannote[1240].speaker SPEAKER_00
transcript.pyannote[1240].start 7590.38909375
transcript.pyannote[1240].end 7590.43971875
transcript.pyannote[1241].speaker SPEAKER_20
transcript.pyannote[1241].start 7590.43971875
transcript.pyannote[1241].end 7590.87846875
transcript.pyannote[1242].speaker SPEAKER_23
transcript.pyannote[1242].start 7600.56471875
transcript.pyannote[1242].end 7600.58159375
transcript.pyannote[1243].speaker SPEAKER_20
transcript.pyannote[1243].start 7600.58159375
transcript.pyannote[1243].end 7600.59846875
transcript.pyannote[1244].speaker SPEAKER_23
transcript.pyannote[1244].start 7600.59846875
transcript.pyannote[1244].end 7600.61534375
transcript.pyannote[1245].speaker SPEAKER_20
transcript.pyannote[1245].start 7600.61534375
transcript.pyannote[1245].end 7604.34471875
transcript.pyannote[1246].speaker SPEAKER_23
transcript.pyannote[1246].start 7600.63221875
transcript.pyannote[1246].end 7601.12159375
transcript.pyannote[1247].speaker SPEAKER_23
transcript.pyannote[1247].start 7604.61471875
transcript.pyannote[1247].end 7634.75346875
transcript.pyannote[1248].speaker SPEAKER_20
transcript.pyannote[1248].start 7606.21784375
transcript.pyannote[1248].end 7606.65659375
transcript.pyannote[1249].speaker SPEAKER_20
transcript.pyannote[1249].start 7611.78659375
transcript.pyannote[1249].end 7612.05659375
transcript.pyannote[1250].speaker SPEAKER_00
transcript.pyannote[1250].start 7612.05659375
transcript.pyannote[1250].end 7612.17471875
transcript.pyannote[1251].speaker SPEAKER_00
transcript.pyannote[1251].start 7627.76721875
transcript.pyannote[1251].end 7627.78409375
transcript.pyannote[1252].speaker SPEAKER_21
transcript.pyannote[1252].start 7627.78409375
transcript.pyannote[1252].end 7628.98221875
transcript.pyannote[1253].speaker SPEAKER_21
transcript.pyannote[1253].start 7634.61846875
transcript.pyannote[1253].end 7635.27659375
transcript.pyannote[1254].speaker SPEAKER_23
transcript.pyannote[1254].start 7635.27659375
transcript.pyannote[1254].end 7676.97471875
transcript.pyannote[1255].speaker SPEAKER_23
transcript.pyannote[1255].start 7677.12659375
transcript.pyannote[1255].end 7678.84784375
transcript.pyannote[1256].speaker SPEAKER_20
transcript.pyannote[1256].start 7678.84784375
transcript.pyannote[1256].end 7680.02909375
transcript.pyannote[1257].speaker SPEAKER_23
transcript.pyannote[1257].start 7679.10096875
transcript.pyannote[1257].end 7683.28596875
transcript.pyannote[1258].speaker SPEAKER_20
transcript.pyannote[1258].start 7683.45471875
transcript.pyannote[1258].end 7710.38721875
transcript.pyannote[1259].speaker SPEAKER_23
transcript.pyannote[1259].start 7709.62784375
transcript.pyannote[1259].end 7732.79721875
transcript.pyannote[1260].speaker SPEAKER_20
transcript.pyannote[1260].start 7714.69034375
transcript.pyannote[1260].end 7714.84221875
transcript.pyannote[1261].speaker SPEAKER_22
transcript.pyannote[1261].start 7717.05284375
transcript.pyannote[1261].end 7717.40721875
transcript.pyannote[1262].speaker SPEAKER_20
transcript.pyannote[1262].start 7732.10534375
transcript.pyannote[1262].end 7741.08284375
transcript.pyannote[1263].speaker SPEAKER_23
transcript.pyannote[1263].start 7741.25159375
transcript.pyannote[1263].end 7744.28909375
transcript.pyannote[1264].speaker SPEAKER_23
transcript.pyannote[1264].start 7745.04846875
transcript.pyannote[1264].end 7782.17346875
transcript.pyannote[1265].speaker SPEAKER_00
transcript.pyannote[1265].start 7750.16159375
transcript.pyannote[1265].end 7750.49909375
transcript.pyannote[1266].speaker SPEAKER_20
transcript.pyannote[1266].start 7777.21221875
transcript.pyannote[1266].end 7779.47346875
transcript.pyannote[1267].speaker SPEAKER_20
transcript.pyannote[1267].start 7780.90784375
transcript.pyannote[1267].end 7782.34221875
transcript.pyannote[1268].speaker SPEAKER_23
transcript.pyannote[1268].start 7782.34221875
transcript.pyannote[1268].end 7782.35909375
transcript.pyannote[1269].speaker SPEAKER_20
transcript.pyannote[1269].start 7782.35909375
transcript.pyannote[1269].end 7782.39284375
transcript.pyannote[1270].speaker SPEAKER_23
transcript.pyannote[1270].start 7782.39284375
transcript.pyannote[1270].end 7782.49409375
transcript.pyannote[1271].speaker SPEAKER_20
transcript.pyannote[1271].start 7782.49409375
transcript.pyannote[1271].end 7783.03409375
transcript.pyannote[1272].speaker SPEAKER_18
transcript.pyannote[1272].start 7782.67971875
transcript.pyannote[1272].end 7782.71346875
transcript.pyannote[1273].speaker SPEAKER_13
transcript.pyannote[1273].start 7783.11846875
transcript.pyannote[1273].end 7788.11346875
transcript.pyannote[1274].speaker SPEAKER_06
transcript.pyannote[1274].start 7794.40784375
transcript.pyannote[1274].end 7798.18784375
transcript.pyannote[1275].speaker SPEAKER_13
transcript.pyannote[1275].start 7798.84596875
transcript.pyannote[1275].end 7799.87534375
transcript.pyannote[1276].speaker SPEAKER_06
transcript.pyannote[1276].start 7804.41471875
transcript.pyannote[1276].end 7804.46534375
transcript.pyannote[1277].speaker SPEAKER_20
transcript.pyannote[1277].start 7804.46534375
transcript.pyannote[1277].end 7804.76909375
transcript.pyannote[1278].speaker SPEAKER_06
transcript.pyannote[1278].start 7804.76909375
transcript.pyannote[1278].end 7804.90409375
transcript.pyannote[1279].speaker SPEAKER_20
transcript.pyannote[1279].start 7804.90409375
transcript.pyannote[1279].end 7804.95471875
transcript.pyannote[1280].speaker SPEAKER_06
transcript.pyannote[1280].start 7804.95471875
transcript.pyannote[1280].end 7823.85471875
transcript.pyannote[1281].speaker SPEAKER_13
transcript.pyannote[1281].start 7806.86159375
transcript.pyannote[1281].end 7807.23284375
transcript.pyannote[1282].speaker SPEAKER_20
transcript.pyannote[1282].start 7824.42846875
transcript.pyannote[1282].end 7848.71159375
transcript.pyannote[1283].speaker SPEAKER_06
transcript.pyannote[1283].start 7824.98534375
transcript.pyannote[1283].end 7825.01909375
transcript.pyannote[1284].speaker SPEAKER_06
transcript.pyannote[1284].start 7825.06971875
transcript.pyannote[1284].end 7825.12034375
transcript.pyannote[1285].speaker SPEAKER_06
transcript.pyannote[1285].start 7828.93409375
transcript.pyannote[1285].end 7829.32221875
transcript.pyannote[1286].speaker SPEAKER_00
transcript.pyannote[1286].start 7835.93721875
transcript.pyannote[1286].end 7836.03846875
transcript.pyannote[1287].speaker SPEAKER_19
transcript.pyannote[1287].start 7836.03846875
transcript.pyannote[1287].end 7836.27471875
transcript.pyannote[1288].speaker SPEAKER_06
transcript.pyannote[1288].start 7847.63159375
transcript.pyannote[1288].end 7894.30784375
transcript.pyannote[1289].speaker SPEAKER_09
transcript.pyannote[1289].start 7864.11846875
transcript.pyannote[1289].end 7864.25346875
transcript.pyannote[1290].speaker SPEAKER_06
transcript.pyannote[1290].start 7894.76346875
transcript.pyannote[1290].end 7900.51784375
transcript.pyannote[1291].speaker SPEAKER_20
transcript.pyannote[1291].start 7900.75409375
transcript.pyannote[1291].end 7910.40659375
transcript.pyannote[1292].speaker SPEAKER_06
transcript.pyannote[1292].start 7902.86346875
transcript.pyannote[1292].end 7903.15034375
transcript.pyannote[1293].speaker SPEAKER_00
transcript.pyannote[1293].start 7908.55034375
transcript.pyannote[1293].end 7908.56721875
transcript.pyannote[1294].speaker SPEAKER_06
transcript.pyannote[1294].start 7908.56721875
transcript.pyannote[1294].end 7908.88784375
transcript.pyannote[1295].speaker SPEAKER_00
transcript.pyannote[1295].start 7908.88784375
transcript.pyannote[1295].end 7908.98909375
transcript.pyannote[1296].speaker SPEAKER_20
transcript.pyannote[1296].start 7910.65971875
transcript.pyannote[1296].end 7950.87284375
transcript.pyannote[1297].speaker SPEAKER_00
transcript.pyannote[1297].start 7913.02221875
transcript.pyannote[1297].end 7913.42721875
transcript.pyannote[1298].speaker SPEAKER_00
transcript.pyannote[1298].start 7918.82721875
transcript.pyannote[1298].end 7919.09721875
transcript.pyannote[1299].speaker SPEAKER_06
transcript.pyannote[1299].start 7951.05846875
transcript.pyannote[1299].end 7988.74034375
transcript.pyannote[1300].speaker SPEAKER_06
transcript.pyannote[1300].start 7989.19596875
transcript.pyannote[1300].end 7993.41471875
transcript.pyannote[1301].speaker SPEAKER_06
transcript.pyannote[1301].start 7993.75221875
transcript.pyannote[1301].end 7998.73034375
transcript.pyannote[1302].speaker SPEAKER_06
transcript.pyannote[1302].start 7999.01721875
transcript.pyannote[1302].end 8001.46409375
transcript.pyannote[1303].speaker SPEAKER_20
transcript.pyannote[1303].start 8001.02534375
transcript.pyannote[1303].end 8014.77846875
transcript.pyannote[1304].speaker SPEAKER_06
transcript.pyannote[1304].start 8009.81721875
transcript.pyannote[1304].end 8010.07034375
transcript.pyannote[1305].speaker SPEAKER_06
transcript.pyannote[1305].start 8011.01534375
transcript.pyannote[1305].end 8011.28534375
transcript.pyannote[1306].speaker SPEAKER_06
transcript.pyannote[1306].start 8012.17971875
transcript.pyannote[1306].end 8012.48346875
transcript.pyannote[1307].speaker SPEAKER_06
transcript.pyannote[1307].start 8014.77846875
transcript.pyannote[1307].end 8044.66409375
transcript.pyannote[1308].speaker SPEAKER_20
transcript.pyannote[1308].start 8045.01846875
transcript.pyannote[1308].end 8046.13221875
transcript.pyannote[1309].speaker SPEAKER_06
transcript.pyannote[1309].start 8045.99721875
transcript.pyannote[1309].end 8054.29971875
transcript.pyannote[1310].speaker SPEAKER_06
transcript.pyannote[1310].start 8054.77221875
transcript.pyannote[1310].end 8061.23534375
transcript.pyannote[1311].speaker SPEAKER_20
transcript.pyannote[1311].start 8061.33659375
transcript.pyannote[1311].end 8089.60221875
transcript.pyannote[1312].speaker SPEAKER_20
transcript.pyannote[1312].start 8089.85534375
transcript.pyannote[1312].end 8095.98096875
transcript.pyannote[1313].speaker SPEAKER_06
transcript.pyannote[1313].start 8094.81659375
transcript.pyannote[1313].end 8097.29721875
transcript.pyannote[1314].speaker SPEAKER_20
transcript.pyannote[1314].start 8098.07346875
transcript.pyannote[1314].end 8109.83534375
transcript.pyannote[1315].speaker SPEAKER_06
transcript.pyannote[1315].start 8102.49471875
transcript.pyannote[1315].end 8102.69721875
transcript.pyannote[1316].speaker SPEAKER_06
transcript.pyannote[1316].start 8108.11409375
transcript.pyannote[1316].end 8108.31659375
transcript.pyannote[1317].speaker SPEAKER_06
transcript.pyannote[1317].start 8109.86909375
transcript.pyannote[1317].end 8129.46096875
transcript.pyannote[1318].speaker SPEAKER_20
transcript.pyannote[1318].start 8129.35971875
transcript.pyannote[1318].end 8134.64159375
transcript.pyannote[1319].speaker SPEAKER_06
transcript.pyannote[1319].start 8130.06846875
transcript.pyannote[1319].end 8130.62534375
transcript.pyannote[1320].speaker SPEAKER_06
transcript.pyannote[1320].start 8134.33784375
transcript.pyannote[1320].end 8135.65409375
transcript.pyannote[1321].speaker SPEAKER_20
transcript.pyannote[1321].start 8135.77221875
transcript.pyannote[1321].end 8149.23846875
transcript.pyannote[1322].speaker SPEAKER_06
transcript.pyannote[1322].start 8136.10971875
transcript.pyannote[1322].end 8136.44721875
transcript.pyannote[1323].speaker SPEAKER_06
transcript.pyannote[1323].start 8137.42596875
transcript.pyannote[1323].end 8138.47221875
transcript.pyannote[1324].speaker SPEAKER_06
transcript.pyannote[1324].start 8141.81346875
transcript.pyannote[1324].end 8142.18471875
transcript.pyannote[1325].speaker SPEAKER_06
transcript.pyannote[1325].start 8148.14159375
transcript.pyannote[1325].end 8151.65159375
transcript.pyannote[1326].speaker SPEAKER_20
transcript.pyannote[1326].start 8151.70221875
transcript.pyannote[1326].end 8155.58346875
transcript.pyannote[1327].speaker SPEAKER_06
transcript.pyannote[1327].start 8152.41096875
transcript.pyannote[1327].end 8152.68096875
transcript.pyannote[1328].speaker SPEAKER_06
transcript.pyannote[1328].start 8153.67659375
transcript.pyannote[1328].end 8154.36846875
transcript.pyannote[1329].speaker SPEAKER_06
transcript.pyannote[1329].start 8154.53721875
transcript.pyannote[1329].end 8187.22409375
transcript.pyannote[1330].speaker SPEAKER_09
transcript.pyannote[1330].start 8166.53534375
transcript.pyannote[1330].end 8166.92346875
transcript.pyannote[1331].speaker SPEAKER_20
transcript.pyannote[1331].start 8187.22409375
transcript.pyannote[1331].end 8195.66159375
transcript.pyannote[1332].speaker SPEAKER_06
transcript.pyannote[1332].start 8189.72159375
transcript.pyannote[1332].end 8189.92409375
transcript.pyannote[1333].speaker SPEAKER_06
transcript.pyannote[1333].start 8195.62784375
transcript.pyannote[1333].end 8198.00721875
transcript.pyannote[1334].speaker SPEAKER_06
transcript.pyannote[1334].start 8198.39534375
transcript.pyannote[1334].end 8212.84034375
transcript.pyannote[1335].speaker SPEAKER_06
transcript.pyannote[1335].start 8213.59971875
transcript.pyannote[1335].end 8215.96221875
transcript.pyannote[1336].speaker SPEAKER_06
transcript.pyannote[1336].start 8216.46846875
transcript.pyannote[1336].end 8223.18471875
transcript.pyannote[1337].speaker SPEAKER_06
transcript.pyannote[1337].start 8223.64034375
transcript.pyannote[1337].end 8246.94471875
transcript.pyannote[1338].speaker SPEAKER_06
transcript.pyannote[1338].start 8247.24846875
transcript.pyannote[1338].end 8267.24534375
transcript.pyannote[1339].speaker SPEAKER_06
transcript.pyannote[1339].start 8267.85284375
transcript.pyannote[1339].end 8269.33784375
transcript.pyannote[1340].speaker SPEAKER_20
transcript.pyannote[1340].start 8269.50659375
transcript.pyannote[1340].end 8287.20846875
transcript.pyannote[1341].speaker SPEAKER_00
transcript.pyannote[1341].start 8275.10909375
transcript.pyannote[1341].end 8275.36221875
transcript.pyannote[1342].speaker SPEAKER_06
transcript.pyannote[1342].start 8285.33534375
transcript.pyannote[1342].end 8287.78221875
transcript.pyannote[1343].speaker SPEAKER_20
transcript.pyannote[1343].start 8287.71471875
transcript.pyannote[1343].end 8287.74846875
transcript.pyannote[1344].speaker SPEAKER_20
transcript.pyannote[1344].start 8287.78221875
transcript.pyannote[1344].end 8288.13659375
transcript.pyannote[1345].speaker SPEAKER_06
transcript.pyannote[1345].start 8288.47409375
transcript.pyannote[1345].end 8289.94221875
transcript.pyannote[1346].speaker SPEAKER_06
transcript.pyannote[1346].start 8290.06034375
transcript.pyannote[1346].end 8303.37471875
transcript.pyannote[1347].speaker SPEAKER_20
transcript.pyannote[1347].start 8290.12784375
transcript.pyannote[1347].end 8290.66784375
transcript.pyannote[1348].speaker SPEAKER_09
transcript.pyannote[1348].start 8290.66784375
transcript.pyannote[1348].end 8290.68471875
transcript.pyannote[1349].speaker SPEAKER_06
transcript.pyannote[1349].start 8303.61096875
transcript.pyannote[1349].end 8344.34721875
transcript.pyannote[1350].speaker SPEAKER_00
transcript.pyannote[1350].start 8320.08096875
transcript.pyannote[1350].end 8320.19909375
transcript.pyannote[1351].speaker SPEAKER_00
transcript.pyannote[1351].start 8320.21596875
transcript.pyannote[1351].end 8320.53659375
transcript.pyannote[1352].speaker SPEAKER_06
transcript.pyannote[1352].start 8344.78596875
transcript.pyannote[1352].end 8354.18534375
transcript.pyannote[1353].speaker SPEAKER_06
transcript.pyannote[1353].start 8354.60721875
transcript.pyannote[1353].end 8355.75471875
transcript.pyannote[1354].speaker SPEAKER_06
transcript.pyannote[1354].start 8356.61534375
transcript.pyannote[1354].end 8366.84159375
transcript.pyannote[1355].speaker SPEAKER_06
transcript.pyannote[1355].start 8367.34784375
transcript.pyannote[1355].end 8401.99221875
transcript.pyannote[1356].speaker SPEAKER_09
transcript.pyannote[1356].start 8385.31971875
transcript.pyannote[1356].end 8386.51784375
transcript.pyannote[1357].speaker SPEAKER_09
transcript.pyannote[1357].start 8386.56846875
transcript.pyannote[1357].end 8386.61909375
transcript.pyannote[1358].speaker SPEAKER_09
transcript.pyannote[1358].start 8387.88471875
transcript.pyannote[1358].end 8388.39096875
transcript.pyannote[1359].speaker SPEAKER_02
transcript.pyannote[1359].start 8388.39096875
transcript.pyannote[1359].end 8388.40784375
transcript.pyannote[1360].speaker SPEAKER_02
transcript.pyannote[1360].start 8390.78721875
transcript.pyannote[1360].end 8391.05721875
transcript.pyannote[1361].speaker SPEAKER_02
transcript.pyannote[1361].start 8392.42409375
transcript.pyannote[1361].end 8392.77846875
transcript.pyannote[1362].speaker SPEAKER_20
transcript.pyannote[1362].start 8398.12784375
transcript.pyannote[1362].end 8398.61721875
transcript.pyannote[1363].speaker SPEAKER_20
transcript.pyannote[1363].start 8402.02596875
transcript.pyannote[1363].end 8420.92596875
transcript.pyannote[1364].speaker SPEAKER_06
transcript.pyannote[1364].start 8402.46471875
transcript.pyannote[1364].end 8402.95409375
transcript.pyannote[1365].speaker SPEAKER_06
transcript.pyannote[1365].start 8405.29971875
transcript.pyannote[1365].end 8405.56971875
transcript.pyannote[1366].speaker SPEAKER_06
transcript.pyannote[1366].start 8407.64534375
transcript.pyannote[1366].end 8407.96596875
transcript.pyannote[1367].speaker SPEAKER_19
transcript.pyannote[1367].start 8412.92721875
transcript.pyannote[1367].end 8412.94409375
transcript.pyannote[1368].speaker SPEAKER_08
transcript.pyannote[1368].start 8412.94409375
transcript.pyannote[1368].end 8413.29846875
transcript.pyannote[1369].speaker SPEAKER_06
transcript.pyannote[1369].start 8421.12846875
transcript.pyannote[1369].end 8427.86159375
transcript.pyannote[1370].speaker SPEAKER_20
transcript.pyannote[1370].start 8427.01784375
transcript.pyannote[1370].end 8430.39284375
transcript.pyannote[1371].speaker SPEAKER_06
transcript.pyannote[1371].start 8430.07221875
transcript.pyannote[1371].end 8435.40471875
transcript.pyannote[1372].speaker SPEAKER_20
transcript.pyannote[1372].start 8432.01284375
transcript.pyannote[1372].end 8433.09284375
transcript.pyannote[1373].speaker SPEAKER_20
transcript.pyannote[1373].start 8435.35409375
transcript.pyannote[1373].end 8435.38784375
transcript.pyannote[1374].speaker SPEAKER_19
transcript.pyannote[1374].start 8435.38784375
transcript.pyannote[1374].end 8436.50159375
transcript.pyannote[1375].speaker SPEAKER_06
transcript.pyannote[1375].start 8436.26534375
transcript.pyannote[1375].end 8437.37909375
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 8437.56471875
transcript.pyannote[1376].end 8439.69096875
transcript.pyannote[1377].speaker SPEAKER_13
transcript.pyannote[1377].start 8440.55159375
transcript.pyannote[1377].end 8440.82159375
transcript.pyannote[1378].speaker SPEAKER_13
transcript.pyannote[1378].start 8441.46284375
transcript.pyannote[1378].end 8443.92659375
transcript.pyannote[1379].speaker SPEAKER_03
transcript.pyannote[1379].start 8455.38471875
transcript.pyannote[1379].end 8455.70534375
transcript.pyannote[1380].speaker SPEAKER_03
transcript.pyannote[1380].start 8457.98346875
transcript.pyannote[1380].end 8461.07159375
transcript.pyannote[1381].speaker SPEAKER_06
transcript.pyannote[1381].start 8461.59471875
transcript.pyannote[1381].end 8462.72534375
transcript.pyannote[1382].speaker SPEAKER_20
transcript.pyannote[1382].start 8465.98221875
transcript.pyannote[1382].end 8466.85971875
transcript.pyannote[1383].speaker SPEAKER_03
transcript.pyannote[1383].start 8466.85971875
transcript.pyannote[1383].end 8467.09596875
transcript.pyannote[1384].speaker SPEAKER_03
transcript.pyannote[1384].start 8467.56846875
transcript.pyannote[1384].end 8468.54721875
transcript.pyannote[1385].speaker SPEAKER_20
transcript.pyannote[1385].start 8468.51346875
transcript.pyannote[1385].end 8468.85096875
transcript.pyannote[1386].speaker SPEAKER_03
transcript.pyannote[1386].start 8469.45846875
transcript.pyannote[1386].end 8474.25096875
transcript.pyannote[1387].speaker SPEAKER_03
transcript.pyannote[1387].start 8474.41971875
transcript.pyannote[1387].end 8474.75721875
transcript.pyannote[1388].speaker SPEAKER_08
transcript.pyannote[1388].start 8474.48721875
transcript.pyannote[1388].end 8474.85846875
transcript.pyannote[1389].speaker SPEAKER_03
transcript.pyannote[1389].start 8474.85846875
transcript.pyannote[1389].end 8474.87534375
transcript.pyannote[1390].speaker SPEAKER_03
transcript.pyannote[1390].start 8475.02721875
transcript.pyannote[1390].end 8505.52034375
transcript.pyannote[1391].speaker SPEAKER_03
transcript.pyannote[1391].start 8505.85784375
transcript.pyannote[1391].end 8510.17784375
transcript.pyannote[1392].speaker SPEAKER_03
transcript.pyannote[1392].start 8510.39721875
transcript.pyannote[1392].end 8513.19846875
transcript.pyannote[1393].speaker SPEAKER_03
transcript.pyannote[1393].start 8513.63721875
transcript.pyannote[1393].end 8516.42159375
transcript.pyannote[1394].speaker SPEAKER_03
transcript.pyannote[1394].start 8516.89409375
transcript.pyannote[1394].end 8517.41721875
transcript.pyannote[1395].speaker SPEAKER_03
transcript.pyannote[1395].start 8517.85596875
transcript.pyannote[1395].end 8520.97784375
transcript.pyannote[1396].speaker SPEAKER_03
transcript.pyannote[1396].start 8521.23096875
transcript.pyannote[1396].end 8522.24346875
transcript.pyannote[1397].speaker SPEAKER_03
transcript.pyannote[1397].start 8522.59784375
transcript.pyannote[1397].end 8524.75784375
transcript.pyannote[1398].speaker SPEAKER_03
transcript.pyannote[1398].start 8525.28096875
transcript.pyannote[1398].end 8527.25534375
transcript.pyannote[1399].speaker SPEAKER_03
transcript.pyannote[1399].start 8527.72784375
transcript.pyannote[1399].end 8530.39409375
transcript.pyannote[1400].speaker SPEAKER_03
transcript.pyannote[1400].start 8530.64721875
transcript.pyannote[1400].end 8534.76471875
transcript.pyannote[1401].speaker SPEAKER_03
transcript.pyannote[1401].start 8535.22034375
transcript.pyannote[1401].end 8538.27471875
transcript.pyannote[1402].speaker SPEAKER_03
transcript.pyannote[1402].start 8538.67971875
transcript.pyannote[1402].end 8541.49784375
transcript.pyannote[1403].speaker SPEAKER_03
transcript.pyannote[1403].start 8541.76784375
transcript.pyannote[1403].end 8542.71284375
transcript.pyannote[1404].speaker SPEAKER_03
transcript.pyannote[1404].start 8543.25284375
transcript.pyannote[1404].end 8544.65346875
transcript.pyannote[1405].speaker SPEAKER_20
transcript.pyannote[1405].start 8545.10909375
transcript.pyannote[1405].end 8564.41409375
transcript.pyannote[1406].speaker SPEAKER_03
transcript.pyannote[1406].start 8562.69284375
transcript.pyannote[1406].end 8564.92034375
transcript.pyannote[1407].speaker SPEAKER_03
transcript.pyannote[1407].start 8564.98784375
transcript.pyannote[1407].end 8571.73784375
transcript.pyannote[1408].speaker SPEAKER_20
transcript.pyannote[1408].start 8571.21471875
transcript.pyannote[1408].end 8573.77971875
transcript.pyannote[1409].speaker SPEAKER_03
transcript.pyannote[1409].start 8573.22284375
transcript.pyannote[1409].end 8574.43784375
transcript.pyannote[1410].speaker SPEAKER_20
transcript.pyannote[1410].start 8574.91034375
transcript.pyannote[1410].end 8579.82096875
transcript.pyannote[1411].speaker SPEAKER_03
transcript.pyannote[1411].start 8580.47909375
transcript.pyannote[1411].end 8587.07721875
transcript.pyannote[1412].speaker SPEAKER_03
transcript.pyannote[1412].start 8588.69721875
transcript.pyannote[1412].end 8590.78971875
transcript.pyannote[1413].speaker SPEAKER_03
transcript.pyannote[1413].start 8591.14409375
transcript.pyannote[1413].end 8591.56596875
transcript.pyannote[1414].speaker SPEAKER_03
transcript.pyannote[1414].start 8591.75159375
transcript.pyannote[1414].end 8594.82284375
transcript.pyannote[1415].speaker SPEAKER_03
transcript.pyannote[1415].start 8595.04221875
transcript.pyannote[1415].end 8598.45096875
transcript.pyannote[1416].speaker SPEAKER_03
transcript.pyannote[1416].start 8598.95721875
transcript.pyannote[1416].end 8599.93596875
transcript.pyannote[1417].speaker SPEAKER_03
transcript.pyannote[1417].start 8600.08784375
transcript.pyannote[1417].end 8604.23909375
transcript.pyannote[1418].speaker SPEAKER_00
transcript.pyannote[1418].start 8600.42534375
transcript.pyannote[1418].end 8600.44221875
transcript.pyannote[1419].speaker SPEAKER_08
transcript.pyannote[1419].start 8600.44221875
transcript.pyannote[1419].end 8600.84721875
transcript.pyannote[1420].speaker SPEAKER_03
transcript.pyannote[1420].start 8604.45846875
transcript.pyannote[1420].end 8604.86346875
transcript.pyannote[1421].speaker SPEAKER_08
transcript.pyannote[1421].start 8604.50909375
transcript.pyannote[1421].end 8604.82971875
transcript.pyannote[1422].speaker SPEAKER_03
transcript.pyannote[1422].start 8605.06596875
transcript.pyannote[1422].end 8609.97659375
transcript.pyannote[1423].speaker SPEAKER_03
transcript.pyannote[1423].start 8610.39846875
transcript.pyannote[1423].end 8612.23784375
transcript.pyannote[1424].speaker SPEAKER_03
transcript.pyannote[1424].start 8612.74409375
transcript.pyannote[1424].end 8616.72659375
transcript.pyannote[1425].speaker SPEAKER_03
transcript.pyannote[1425].start 8617.03034375
transcript.pyannote[1425].end 8618.24534375
transcript.pyannote[1426].speaker SPEAKER_03
transcript.pyannote[1426].start 8619.12284375
transcript.pyannote[1426].end 8620.65846875
transcript.pyannote[1427].speaker SPEAKER_03
transcript.pyannote[1427].start 8620.91159375
transcript.pyannote[1427].end 8627.00346875
transcript.pyannote[1428].speaker SPEAKER_03
transcript.pyannote[1428].start 8627.44221875
transcript.pyannote[1428].end 8629.48409375
transcript.pyannote[1429].speaker SPEAKER_08
transcript.pyannote[1429].start 8629.93971875
transcript.pyannote[1429].end 8630.27721875
transcript.pyannote[1430].speaker SPEAKER_03
transcript.pyannote[1430].start 8629.95659375
transcript.pyannote[1430].end 8630.09159375
transcript.pyannote[1431].speaker SPEAKER_03
transcript.pyannote[1431].start 8630.56409375
transcript.pyannote[1431].end 8630.98596875
transcript.pyannote[1432].speaker SPEAKER_03
transcript.pyannote[1432].start 8631.25596875
transcript.pyannote[1432].end 8632.96034375
transcript.pyannote[1433].speaker SPEAKER_03
transcript.pyannote[1433].start 8633.26409375
transcript.pyannote[1433].end 8637.17909375
transcript.pyannote[1434].speaker SPEAKER_03
transcript.pyannote[1434].start 8637.55034375
transcript.pyannote[1434].end 8641.80284375
transcript.pyannote[1435].speaker SPEAKER_20
transcript.pyannote[1435].start 8642.34284375
transcript.pyannote[1435].end 8672.73471875
transcript.pyannote[1436].speaker SPEAKER_03
transcript.pyannote[1436].start 8672.81909375
transcript.pyannote[1436].end 8673.19034375
transcript.pyannote[1437].speaker SPEAKER_03
transcript.pyannote[1437].start 8673.62909375
transcript.pyannote[1437].end 8678.15159375
transcript.pyannote[1438].speaker SPEAKER_03
transcript.pyannote[1438].start 8678.52284375
transcript.pyannote[1438].end 8680.00784375
transcript.pyannote[1439].speaker SPEAKER_03
transcript.pyannote[1439].start 8680.29471875
transcript.pyannote[1439].end 8680.71659375
transcript.pyannote[1440].speaker SPEAKER_03
transcript.pyannote[1440].start 8681.08784375
transcript.pyannote[1440].end 8682.84284375
transcript.pyannote[1441].speaker SPEAKER_03
transcript.pyannote[1441].start 8683.09596875
transcript.pyannote[1441].end 8685.08721875
transcript.pyannote[1442].speaker SPEAKER_03
transcript.pyannote[1442].start 8685.52596875
transcript.pyannote[1442].end 8693.44034375
transcript.pyannote[1443].speaker SPEAKER_03
transcript.pyannote[1443].start 8694.09846875
transcript.pyannote[1443].end 8695.76909375
transcript.pyannote[1444].speaker SPEAKER_03
transcript.pyannote[1444].start 8695.78596875
transcript.pyannote[1444].end 8696.14034375
transcript.pyannote[1445].speaker SPEAKER_03
transcript.pyannote[1445].start 8696.32596875
transcript.pyannote[1445].end 8700.88221875
transcript.pyannote[1446].speaker SPEAKER_20
transcript.pyannote[1446].start 8701.79346875
transcript.pyannote[1446].end 8738.91846875
transcript.pyannote[1447].speaker SPEAKER_03
transcript.pyannote[1447].start 8739.50909375
transcript.pyannote[1447].end 8740.60596875
transcript.pyannote[1448].speaker SPEAKER_03
transcript.pyannote[1448].start 8740.72409375
transcript.pyannote[1448].end 8744.41971875
transcript.pyannote[1449].speaker SPEAKER_03
transcript.pyannote[1449].start 8744.89221875
transcript.pyannote[1449].end 8749.09409375
transcript.pyannote[1450].speaker SPEAKER_20
transcript.pyannote[1450].start 8749.95471875
transcript.pyannote[1450].end 8770.06971875
transcript.pyannote[1451].speaker SPEAKER_03
transcript.pyannote[1451].start 8771.16659375
transcript.pyannote[1451].end 8772.01034375
transcript.pyannote[1452].speaker SPEAKER_03
transcript.pyannote[1452].start 8772.36471875
transcript.pyannote[1452].end 8772.85409375
transcript.pyannote[1453].speaker SPEAKER_03
transcript.pyannote[1453].start 8773.30971875
transcript.pyannote[1453].end 8776.49909375
transcript.pyannote[1454].speaker SPEAKER_03
transcript.pyannote[1454].start 8777.08971875
transcript.pyannote[1454].end 8778.74346875
transcript.pyannote[1455].speaker SPEAKER_06
transcript.pyannote[1455].start 8778.74346875
transcript.pyannote[1455].end 8779.87409375
transcript.pyannote[1456].speaker SPEAKER_11
transcript.pyannote[1456].start 8784.12659375
transcript.pyannote[1456].end 8784.98721875
transcript.pyannote[1457].speaker SPEAKER_03
transcript.pyannote[1457].start 8784.98721875
transcript.pyannote[1457].end 8799.22971875
transcript.pyannote[1458].speaker SPEAKER_03
transcript.pyannote[1458].start 8799.55034375
transcript.pyannote[1458].end 8807.68409375
transcript.pyannote[1459].speaker SPEAKER_03
transcript.pyannote[1459].start 8807.75159375
transcript.pyannote[1459].end 8809.47284375
transcript.pyannote[1460].speaker SPEAKER_03
transcript.pyannote[1460].start 8809.91159375
transcript.pyannote[1460].end 8814.36659375
transcript.pyannote[1461].speaker SPEAKER_20
transcript.pyannote[1461].start 8815.42971875
transcript.pyannote[1461].end 8819.00721875
transcript.pyannote[1462].speaker SPEAKER_20
transcript.pyannote[1462].start 8819.47971875
transcript.pyannote[1462].end 8858.17409375
transcript.pyannote[1463].speaker SPEAKER_03
transcript.pyannote[1463].start 8858.12346875
transcript.pyannote[1463].end 8859.43971875
transcript.pyannote[1464].speaker SPEAKER_03
transcript.pyannote[1464].start 8860.43534375
transcript.pyannote[1464].end 8860.77284375
transcript.pyannote[1465].speaker SPEAKER_11
transcript.pyannote[1465].start 8861.49846875
transcript.pyannote[1465].end 8876.17971875
transcript.pyannote[1466].speaker SPEAKER_11
transcript.pyannote[1466].start 8876.24721875
transcript.pyannote[1466].end 8881.03971875
transcript.pyannote[1467].speaker SPEAKER_03
transcript.pyannote[1467].start 8880.07784375
transcript.pyannote[1467].end 8880.19596875
transcript.pyannote[1468].speaker SPEAKER_03
transcript.pyannote[1468].start 8881.81596875
transcript.pyannote[1468].end 8887.24971875
transcript.pyannote[1469].speaker SPEAKER_03
transcript.pyannote[1469].start 8887.57034375
transcript.pyannote[1469].end 8890.05096875
transcript.pyannote[1470].speaker SPEAKER_03
transcript.pyannote[1470].start 8890.89471875
transcript.pyannote[1470].end 8891.43471875
transcript.pyannote[1471].speaker SPEAKER_03
transcript.pyannote[1471].start 8892.17721875
transcript.pyannote[1471].end 8899.58534375
transcript.pyannote[1472].speaker SPEAKER_03
transcript.pyannote[1472].start 8900.22659375
transcript.pyannote[1472].end 8900.61471875
transcript.pyannote[1473].speaker SPEAKER_03
transcript.pyannote[1473].start 8901.59346875
transcript.pyannote[1473].end 8902.69034375
transcript.pyannote[1474].speaker SPEAKER_03
transcript.pyannote[1474].start 8902.85909375
transcript.pyannote[1474].end 8904.93471875
transcript.pyannote[1475].speaker SPEAKER_03
transcript.pyannote[1475].start 8905.59284375
transcript.pyannote[1475].end 8909.84534375
transcript.pyannote[1476].speaker SPEAKER_03
transcript.pyannote[1476].start 8910.18284375
transcript.pyannote[1476].end 8911.85346875
transcript.pyannote[1477].speaker SPEAKER_03
transcript.pyannote[1477].start 8911.97159375
transcript.pyannote[1477].end 8913.87846875
transcript.pyannote[1478].speaker SPEAKER_03
transcript.pyannote[1478].start 8914.46909375
transcript.pyannote[1478].end 8917.23659375
transcript.pyannote[1479].speaker SPEAKER_03
transcript.pyannote[1479].start 8917.54034375
transcript.pyannote[1479].end 8921.57346875
transcript.pyannote[1480].speaker SPEAKER_03
transcript.pyannote[1480].start 8922.34971875
transcript.pyannote[1480].end 8923.56471875
transcript.pyannote[1481].speaker SPEAKER_03
transcript.pyannote[1481].start 8923.80096875
transcript.pyannote[1481].end 8924.86409375
transcript.pyannote[1482].speaker SPEAKER_03
transcript.pyannote[1482].start 8925.15096875
transcript.pyannote[1482].end 8925.89346875
transcript.pyannote[1483].speaker SPEAKER_03
transcript.pyannote[1483].start 8925.94409375
transcript.pyannote[1483].end 8927.42909375
transcript.pyannote[1484].speaker SPEAKER_03
transcript.pyannote[1484].start 8927.54721875
transcript.pyannote[1484].end 8928.98159375
transcript.pyannote[1485].speaker SPEAKER_03
transcript.pyannote[1485].start 8929.01534375
transcript.pyannote[1485].end 8929.97721875
transcript.pyannote[1486].speaker SPEAKER_03
transcript.pyannote[1486].start 8930.56784375
transcript.pyannote[1486].end 8932.03596875
transcript.pyannote[1487].speaker SPEAKER_03
transcript.pyannote[1487].start 8932.37346875
transcript.pyannote[1487].end 8932.79534375
transcript.pyannote[1488].speaker SPEAKER_03
transcript.pyannote[1488].start 8933.18346875
transcript.pyannote[1488].end 8937.11534375
transcript.pyannote[1489].speaker SPEAKER_03
transcript.pyannote[1489].start 8937.41909375
transcript.pyannote[1489].end 8939.02221875
transcript.pyannote[1490].speaker SPEAKER_03
transcript.pyannote[1490].start 8939.41034375
transcript.pyannote[1490].end 8940.49034375
transcript.pyannote[1491].speaker SPEAKER_03
transcript.pyannote[1491].start 8940.57471875
transcript.pyannote[1491].end 8940.82784375
transcript.pyannote[1492].speaker SPEAKER_11
transcript.pyannote[1492].start 8940.82784375
transcript.pyannote[1492].end 8940.86159375
transcript.pyannote[1493].speaker SPEAKER_03
transcript.pyannote[1493].start 8942.56596875
transcript.pyannote[1493].end 8946.10971875
transcript.pyannote[1494].speaker SPEAKER_03
transcript.pyannote[1494].start 8946.41346875
transcript.pyannote[1494].end 8946.70034375
transcript.pyannote[1495].speaker SPEAKER_03
transcript.pyannote[1495].start 8947.32471875
transcript.pyannote[1495].end 8951.57721875
transcript.pyannote[1496].speaker SPEAKER_03
transcript.pyannote[1496].start 8951.88096875
transcript.pyannote[1496].end 8953.58534375
transcript.pyannote[1497].speaker SPEAKER_03
transcript.pyannote[1497].start 8954.14221875
transcript.pyannote[1497].end 8955.39096875
transcript.pyannote[1498].speaker SPEAKER_03
transcript.pyannote[1498].start 8957.39909375
transcript.pyannote[1498].end 8958.20909375
transcript.pyannote[1499].speaker SPEAKER_03
transcript.pyannote[1499].start 8962.86659375
transcript.pyannote[1499].end 8966.03909375
transcript.pyannote[1500].speaker SPEAKER_03
transcript.pyannote[1500].start 8966.17409375
transcript.pyannote[1500].end 8966.81534375
transcript.pyannote[1501].speaker SPEAKER_03
transcript.pyannote[1501].start 8967.45659375
transcript.pyannote[1501].end 8969.58284375
transcript.pyannote[1502].speaker SPEAKER_03
transcript.pyannote[1502].start 8970.10596875
transcript.pyannote[1502].end 8971.11846875
transcript.pyannote[1503].speaker SPEAKER_03
transcript.pyannote[1503].start 8971.65846875
transcript.pyannote[1503].end 8973.63284375
transcript.pyannote[1504].speaker SPEAKER_03
transcript.pyannote[1504].start 8974.03784375
transcript.pyannote[1504].end 8977.32846875
transcript.pyannote[1505].speaker SPEAKER_03
transcript.pyannote[1505].start 8977.48034375
transcript.pyannote[1505].end 8984.36534375
transcript.pyannote[1506].speaker SPEAKER_03
transcript.pyannote[1506].start 8984.68596875
transcript.pyannote[1506].end 8992.97159375
transcript.pyannote[1507].speaker SPEAKER_03
transcript.pyannote[1507].start 8993.44409375
transcript.pyannote[1507].end 8998.37159375
transcript.pyannote[1508].speaker SPEAKER_03
transcript.pyannote[1508].start 8998.82721875
transcript.pyannote[1508].end 9001.84784375
transcript.pyannote[1509].speaker SPEAKER_03
transcript.pyannote[1509].start 9002.05034375
transcript.pyannote[1509].end 9002.64096875
transcript.pyannote[1510].speaker SPEAKER_03
transcript.pyannote[1510].start 9003.24846875
transcript.pyannote[1510].end 9008.36159375
transcript.pyannote[1511].speaker SPEAKER_03
transcript.pyannote[1511].start 9008.74971875
transcript.pyannote[1511].end 9011.98971875
transcript.pyannote[1512].speaker SPEAKER_03
transcript.pyannote[1512].start 9012.19221875
transcript.pyannote[1512].end 9015.80346875
transcript.pyannote[1513].speaker SPEAKER_03
transcript.pyannote[1513].start 9016.10721875
transcript.pyannote[1513].end 9020.20784375
transcript.pyannote[1514].speaker SPEAKER_03
transcript.pyannote[1514].start 9020.37659375
transcript.pyannote[1514].end 9022.14846875
transcript.pyannote[1515].speaker SPEAKER_03
transcript.pyannote[1515].start 9022.26659375
transcript.pyannote[1515].end 9025.50659375
transcript.pyannote[1516].speaker SPEAKER_03
transcript.pyannote[1516].start 9025.89471875
transcript.pyannote[1516].end 9029.13471875
transcript.pyannote[1517].speaker SPEAKER_03
transcript.pyannote[1517].start 9029.50596875
transcript.pyannote[1517].end 9031.17659375
transcript.pyannote[1518].speaker SPEAKER_03
transcript.pyannote[1518].start 9031.54784375
transcript.pyannote[1518].end 9035.56409375
transcript.pyannote[1519].speaker SPEAKER_03
transcript.pyannote[1519].start 9036.01971875
transcript.pyannote[1519].end 9037.94346875
transcript.pyannote[1520].speaker SPEAKER_03
transcript.pyannote[1520].start 9038.28096875
transcript.pyannote[1520].end 9042.04409375
transcript.pyannote[1521].speaker SPEAKER_03
transcript.pyannote[1521].start 9042.33096875
transcript.pyannote[1521].end 9045.01409375
transcript.pyannote[1522].speaker SPEAKER_03
transcript.pyannote[1522].start 9045.68909375
transcript.pyannote[1522].end 9046.60034375
transcript.pyannote[1523].speaker SPEAKER_03
transcript.pyannote[1523].start 9047.05596875
transcript.pyannote[1523].end 9058.31159375
transcript.pyannote[1524].speaker SPEAKER_03
transcript.pyannote[1524].start 9058.75034375
transcript.pyannote[1524].end 9061.99034375
transcript.pyannote[1525].speaker SPEAKER_03
transcript.pyannote[1525].start 9062.49659375
transcript.pyannote[1525].end 9065.21346875
transcript.pyannote[1526].speaker SPEAKER_03
transcript.pyannote[1526].start 9065.43284375
transcript.pyannote[1526].end 9066.27659375
transcript.pyannote[1527].speaker SPEAKER_03
transcript.pyannote[1527].start 9066.71534375
transcript.pyannote[1527].end 9068.79096875
transcript.pyannote[1528].speaker SPEAKER_03
transcript.pyannote[1528].start 9069.36471875
transcript.pyannote[1528].end 9074.61284375
transcript.pyannote[1529].speaker SPEAKER_03
transcript.pyannote[1529].start 9075.23721875
transcript.pyannote[1529].end 9079.91159375
transcript.pyannote[1530].speaker SPEAKER_03
transcript.pyannote[1530].start 9079.94534375
transcript.pyannote[1530].end 9087.10034375
transcript.pyannote[1531].speaker SPEAKER_03
transcript.pyannote[1531].start 9087.37034375
transcript.pyannote[1531].end 9095.09909375
transcript.pyannote[1532].speaker SPEAKER_03
transcript.pyannote[1532].start 9095.38596875
transcript.pyannote[1532].end 9098.32221875
transcript.pyannote[1533].speaker SPEAKER_03
transcript.pyannote[1533].start 9098.60909375
transcript.pyannote[1533].end 9099.33471875
transcript.pyannote[1534].speaker SPEAKER_03
transcript.pyannote[1534].start 9099.46971875
transcript.pyannote[1534].end 9101.24159375
transcript.pyannote[1535].speaker SPEAKER_03
transcript.pyannote[1535].start 9101.52846875
transcript.pyannote[1535].end 9102.20346875
transcript.pyannote[1536].speaker SPEAKER_03
transcript.pyannote[1536].start 9102.65909375
transcript.pyannote[1536].end 9105.52784375
transcript.pyannote[1537].speaker SPEAKER_03
transcript.pyannote[1537].start 9105.94971875
transcript.pyannote[1537].end 9107.16471875
transcript.pyannote[1538].speaker SPEAKER_03
transcript.pyannote[1538].start 9107.23221875
transcript.pyannote[1538].end 9109.12221875
transcript.pyannote[1539].speaker SPEAKER_03
transcript.pyannote[1539].start 9109.32471875
transcript.pyannote[1539].end 9111.18096875
transcript.pyannote[1540].speaker SPEAKER_03
transcript.pyannote[1540].start 9111.63659375
transcript.pyannote[1540].end 9112.27784375
transcript.pyannote[1541].speaker SPEAKER_03
transcript.pyannote[1541].start 9112.85159375
transcript.pyannote[1541].end 9114.35346875
transcript.pyannote[1542].speaker SPEAKER_03
transcript.pyannote[1542].start 9115.16346875
transcript.pyannote[1542].end 9116.73284375
transcript.pyannote[1543].speaker SPEAKER_03
transcript.pyannote[1543].start 9117.35721875
transcript.pyannote[1543].end 9122.55471875
transcript.pyannote[1544].speaker SPEAKER_03
transcript.pyannote[1544].start 9122.95971875
transcript.pyannote[1544].end 9124.64721875
transcript.pyannote[1545].speaker SPEAKER_03
transcript.pyannote[1545].start 9125.11971875
transcript.pyannote[1545].end 9128.15721875
transcript.pyannote[1546].speaker SPEAKER_03
transcript.pyannote[1546].start 9128.34284375
transcript.pyannote[1546].end 9130.13159375
transcript.pyannote[1547].speaker SPEAKER_03
transcript.pyannote[1547].start 9130.48596875
transcript.pyannote[1547].end 9131.04284375
transcript.pyannote[1548].speaker SPEAKER_03
transcript.pyannote[1548].start 9131.53221875
transcript.pyannote[1548].end 9134.92409375
transcript.pyannote[1549].speaker SPEAKER_03
transcript.pyannote[1549].start 9135.12659375
transcript.pyannote[1549].end 9137.80971875
transcript.pyannote[1550].speaker SPEAKER_03
transcript.pyannote[1550].start 9138.36659375
transcript.pyannote[1550].end 9143.26034375
transcript.pyannote[1551].speaker SPEAKER_03
transcript.pyannote[1551].start 9143.49659375
transcript.pyannote[1551].end 9148.45784375
transcript.pyannote[1552].speaker SPEAKER_11
transcript.pyannote[1552].start 9150.09471875
transcript.pyannote[1552].end 9171.93096875
transcript.pyannote[1553].speaker SPEAKER_06
transcript.pyannote[1553].start 9174.12471875
transcript.pyannote[1553].end 9177.93846875
transcript.pyannote[1554].speaker SPEAKER_22
transcript.pyannote[1554].start 9188.85659375
transcript.pyannote[1554].end 9190.56096875
transcript.pyannote[1555].speaker SPEAKER_06
transcript.pyannote[1555].start 9191.10096875
transcript.pyannote[1555].end 9192.23159375
transcript.pyannote[1556].speaker SPEAKER_22
transcript.pyannote[1556].start 9197.56409375
transcript.pyannote[1556].end 9209.24159375
transcript.pyannote[1557].speaker SPEAKER_09
transcript.pyannote[1557].start 9197.59784375
transcript.pyannote[1557].end 9198.12096875
transcript.pyannote[1558].speaker SPEAKER_22
transcript.pyannote[1558].start 9209.68034375
transcript.pyannote[1558].end 9218.65784375
transcript.pyannote[1559].speaker SPEAKER_22
transcript.pyannote[1559].start 9219.24846875
transcript.pyannote[1559].end 9222.37034375
transcript.pyannote[1560].speaker SPEAKER_22
transcript.pyannote[1560].start 9223.46721875
transcript.pyannote[1560].end 9231.48284375
transcript.pyannote[1561].speaker SPEAKER_22
transcript.pyannote[1561].start 9231.92159375
transcript.pyannote[1561].end 9236.62971875
transcript.pyannote[1562].speaker SPEAKER_20
transcript.pyannote[1562].start 9238.41846875
transcript.pyannote[1562].end 9239.75159375
transcript.pyannote[1563].speaker SPEAKER_22
transcript.pyannote[1563].start 9239.39721875
transcript.pyannote[1563].end 9244.89846875
transcript.pyannote[1564].speaker SPEAKER_22
transcript.pyannote[1564].start 9245.53971875
transcript.pyannote[1564].end 9257.28471875
transcript.pyannote[1565].speaker SPEAKER_20
transcript.pyannote[1565].start 9251.83409375
transcript.pyannote[1565].end 9251.96909375
transcript.pyannote[1566].speaker SPEAKER_20
transcript.pyannote[1566].start 9257.85846875
transcript.pyannote[1566].end 9260.72721875
transcript.pyannote[1567].speaker SPEAKER_22
transcript.pyannote[1567].start 9260.45721875
transcript.pyannote[1567].end 9262.43159375
transcript.pyannote[1568].speaker SPEAKER_20
transcript.pyannote[1568].start 9262.68471875
transcript.pyannote[1568].end 9263.98409375
transcript.pyannote[1569].speaker SPEAKER_20
transcript.pyannote[1569].start 9264.60846875
transcript.pyannote[1569].end 9272.92784375
transcript.pyannote[1570].speaker SPEAKER_22
transcript.pyannote[1570].start 9268.62471875
transcript.pyannote[1570].end 9269.77221875
transcript.pyannote[1571].speaker SPEAKER_22
transcript.pyannote[1571].start 9270.85221875
transcript.pyannote[1571].end 9271.72971875
transcript.pyannote[1572].speaker SPEAKER_22
transcript.pyannote[1572].start 9272.35409375
transcript.pyannote[1572].end 9276.62346875
transcript.pyannote[1573].speaker SPEAKER_20
transcript.pyannote[1573].start 9277.04534375
transcript.pyannote[1573].end 9281.75346875
transcript.pyannote[1574].speaker SPEAKER_22
transcript.pyannote[1574].start 9280.89284375
transcript.pyannote[1574].end 9288.58784375
transcript.pyannote[1575].speaker SPEAKER_20
transcript.pyannote[1575].start 9288.89159375
transcript.pyannote[1575].end 9297.64971875
transcript.pyannote[1576].speaker SPEAKER_22
transcript.pyannote[1576].start 9295.70909375
transcript.pyannote[1576].end 9304.82159375
transcript.pyannote[1577].speaker SPEAKER_22
transcript.pyannote[1577].start 9305.42909375
transcript.pyannote[1577].end 9320.24534375
transcript.pyannote[1578].speaker SPEAKER_00
transcript.pyannote[1578].start 9305.74971875
transcript.pyannote[1578].end 9305.80034375
transcript.pyannote[1579].speaker SPEAKER_22
transcript.pyannote[1579].start 9321.79784375
transcript.pyannote[1579].end 9329.37471875
transcript.pyannote[1580].speaker SPEAKER_20
transcript.pyannote[1580].start 9329.77971875
transcript.pyannote[1580].end 9332.85096875
transcript.pyannote[1581].speaker SPEAKER_22
transcript.pyannote[1581].start 9332.20971875
transcript.pyannote[1581].end 9335.36534375
transcript.pyannote[1582].speaker SPEAKER_20
transcript.pyannote[1582].start 9335.48346875
transcript.pyannote[1582].end 9346.06409375
transcript.pyannote[1583].speaker SPEAKER_22
transcript.pyannote[1583].start 9344.46096875
transcript.pyannote[1583].end 9347.04284375
transcript.pyannote[1584].speaker SPEAKER_22
transcript.pyannote[1584].start 9347.61659375
transcript.pyannote[1584].end 9356.05409375
transcript.pyannote[1585].speaker SPEAKER_20
transcript.pyannote[1585].start 9351.86909375
transcript.pyannote[1585].end 9352.13909375
transcript.pyannote[1586].speaker SPEAKER_00
transcript.pyannote[1586].start 9352.13909375
transcript.pyannote[1586].end 9352.15596875
transcript.pyannote[1587].speaker SPEAKER_00
transcript.pyannote[1587].start 9354.50159375
transcript.pyannote[1587].end 9354.92346875
transcript.pyannote[1588].speaker SPEAKER_22
transcript.pyannote[1588].start 9356.49284375
transcript.pyannote[1588].end 9384.10034375
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 9384.28596875
transcript.pyannote[1589].end 9391.12034375
transcript.pyannote[1590].speaker SPEAKER_22
transcript.pyannote[1590].start 9389.77034375
transcript.pyannote[1590].end 9391.91346875
transcript.pyannote[1591].speaker SPEAKER_20
transcript.pyannote[1591].start 9391.59284375
transcript.pyannote[1591].end 9396.19971875
transcript.pyannote[1592].speaker SPEAKER_22
transcript.pyannote[1592].start 9391.98096875
transcript.pyannote[1592].end 9392.85846875
transcript.pyannote[1593].speaker SPEAKER_22
transcript.pyannote[1593].start 9395.87909375
transcript.pyannote[1593].end 9397.63409375
transcript.pyannote[1594].speaker SPEAKER_20
transcript.pyannote[1594].start 9397.63409375
transcript.pyannote[1594].end 9397.66784375
transcript.pyannote[1595].speaker SPEAKER_22
transcript.pyannote[1595].start 9397.66784375
transcript.pyannote[1595].end 9414.98159375
transcript.pyannote[1596].speaker SPEAKER_22
transcript.pyannote[1596].start 9416.29784375
transcript.pyannote[1596].end 9428.93721875
transcript.pyannote[1597].speaker SPEAKER_21
transcript.pyannote[1597].start 9416.36534375
transcript.pyannote[1597].end 9416.39909375
transcript.pyannote[1598].speaker SPEAKER_09
transcript.pyannote[1598].start 9416.39909375
transcript.pyannote[1598].end 9416.82096875
transcript.pyannote[1599].speaker SPEAKER_22
transcript.pyannote[1599].start 9429.44346875
transcript.pyannote[1599].end 9433.00409375
transcript.pyannote[1600].speaker SPEAKER_22
transcript.pyannote[1600].start 9433.49346875
transcript.pyannote[1600].end 9449.18721875
transcript.pyannote[1601].speaker SPEAKER_20
transcript.pyannote[1601].start 9449.60909375
transcript.pyannote[1601].end 9460.62846875
transcript.pyannote[1602].speaker SPEAKER_22
transcript.pyannote[1602].start 9449.91284375
transcript.pyannote[1602].end 9451.04346875
transcript.pyannote[1603].speaker SPEAKER_22
transcript.pyannote[1603].start 9453.13596875
transcript.pyannote[1603].end 9454.48596875
transcript.pyannote[1604].speaker SPEAKER_22
transcript.pyannote[1604].start 9455.38034375
transcript.pyannote[1604].end 9456.02159375
transcript.pyannote[1605].speaker SPEAKER_22
transcript.pyannote[1605].start 9457.10159375
transcript.pyannote[1605].end 9458.75534375
transcript.pyannote[1606].speaker SPEAKER_22
transcript.pyannote[1606].start 9460.29096875
transcript.pyannote[1606].end 9460.56096875
transcript.pyannote[1607].speaker SPEAKER_22
transcript.pyannote[1607].start 9461.11784375
transcript.pyannote[1607].end 9465.79221875
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 9465.38721875
transcript.pyannote[1608].end 9469.09971875
transcript.pyannote[1609].speaker SPEAKER_22
transcript.pyannote[1609].start 9468.82971875
transcript.pyannote[1609].end 9471.00659375
transcript.pyannote[1610].speaker SPEAKER_20
transcript.pyannote[1610].start 9470.93909375
transcript.pyannote[1610].end 9472.13721875
transcript.pyannote[1611].speaker SPEAKER_22
transcript.pyannote[1611].start 9472.13721875
transcript.pyannote[1611].end 9481.99221875
transcript.pyannote[1612].speaker SPEAKER_20
transcript.pyannote[1612].start 9482.51534375
transcript.pyannote[1612].end 9490.56471875
transcript.pyannote[1613].speaker SPEAKER_22
transcript.pyannote[1613].start 9488.65784375
transcript.pyannote[1613].end 9492.57284375
transcript.pyannote[1614].speaker SPEAKER_20
transcript.pyannote[1614].start 9492.43784375
transcript.pyannote[1614].end 9492.79221875
transcript.pyannote[1615].speaker SPEAKER_22
transcript.pyannote[1615].start 9492.79221875
transcript.pyannote[1615].end 9499.23846875
transcript.pyannote[1616].speaker SPEAKER_20
transcript.pyannote[1616].start 9499.44096875
transcript.pyannote[1616].end 9505.93784375
transcript.pyannote[1617].speaker SPEAKER_22
transcript.pyannote[1617].start 9504.01409375
transcript.pyannote[1617].end 9511.99596875
transcript.pyannote[1618].speaker SPEAKER_22
transcript.pyannote[1618].start 9512.48534375
transcript.pyannote[1618].end 9527.03159375
transcript.pyannote[1619].speaker SPEAKER_00
transcript.pyannote[1619].start 9515.26971875
transcript.pyannote[1619].end 9515.42159375
transcript.pyannote[1620].speaker SPEAKER_09
transcript.pyannote[1620].start 9515.42159375
transcript.pyannote[1620].end 9515.48909375
transcript.pyannote[1621].speaker SPEAKER_00
transcript.pyannote[1621].start 9515.48909375
transcript.pyannote[1621].end 9515.52284375
transcript.pyannote[1622].speaker SPEAKER_09
transcript.pyannote[1622].start 9515.52284375
transcript.pyannote[1622].end 9515.53971875
transcript.pyannote[1623].speaker SPEAKER_00
transcript.pyannote[1623].start 9515.53971875
transcript.pyannote[1623].end 9516.09659375
transcript.pyannote[1624].speaker SPEAKER_00
transcript.pyannote[1624].start 9520.61909375
transcript.pyannote[1624].end 9521.02409375
transcript.pyannote[1625].speaker SPEAKER_22
transcript.pyannote[1625].start 9527.20034375
transcript.pyannote[1625].end 9528.66846875
transcript.pyannote[1626].speaker SPEAKER_22
transcript.pyannote[1626].start 9528.98909375
transcript.pyannote[1626].end 9532.22909375
transcript.pyannote[1627].speaker SPEAKER_22
transcript.pyannote[1627].start 9532.58346875
transcript.pyannote[1627].end 9534.72659375
transcript.pyannote[1628].speaker SPEAKER_20
transcript.pyannote[1628].start 9535.14846875
transcript.pyannote[1628].end 9536.95409375
transcript.pyannote[1629].speaker SPEAKER_22
transcript.pyannote[1629].start 9536.95409375
transcript.pyannote[1629].end 9539.23221875
transcript.pyannote[1630].speaker SPEAKER_20
transcript.pyannote[1630].start 9537.00471875
transcript.pyannote[1630].end 9546.97784375
transcript.pyannote[1631].speaker SPEAKER_20
transcript.pyannote[1631].start 9547.51784375
transcript.pyannote[1631].end 9549.69471875
transcript.pyannote[1632].speaker SPEAKER_22
transcript.pyannote[1632].start 9548.15909375
transcript.pyannote[1632].end 9554.77409375
transcript.pyannote[1633].speaker SPEAKER_20
transcript.pyannote[1633].start 9554.09909375
transcript.pyannote[1633].end 9561.59159375
transcript.pyannote[1634].speaker SPEAKER_22
transcript.pyannote[1634].start 9560.03909375
transcript.pyannote[1634].end 9564.32534375
transcript.pyannote[1635].speaker SPEAKER_20
transcript.pyannote[1635].start 9564.32534375
transcript.pyannote[1635].end 9564.35909375
transcript.pyannote[1636].speaker SPEAKER_22
transcript.pyannote[1636].start 9564.35909375
transcript.pyannote[1636].end 9564.44346875
transcript.pyannote[1637].speaker SPEAKER_20
transcript.pyannote[1637].start 9564.37596875
transcript.pyannote[1637].end 9564.59534375
transcript.pyannote[1638].speaker SPEAKER_22
transcript.pyannote[1638].start 9564.59534375
transcript.pyannote[1638].end 9591.05534375
transcript.pyannote[1639].speaker SPEAKER_20
transcript.pyannote[1639].start 9564.62909375
transcript.pyannote[1639].end 9564.81471875
transcript.pyannote[1640].speaker SPEAKER_19
transcript.pyannote[1640].start 9564.81471875
transcript.pyannote[1640].end 9564.84846875
transcript.pyannote[1641].speaker SPEAKER_22
transcript.pyannote[1641].start 9591.10596875
transcript.pyannote[1641].end 9614.14034375
transcript.pyannote[1642].speaker SPEAKER_00
transcript.pyannote[1642].start 9591.15659375
transcript.pyannote[1642].end 9591.19034375
transcript.pyannote[1643].speaker SPEAKER_09
transcript.pyannote[1643].start 9591.19034375
transcript.pyannote[1643].end 9592.28721875
transcript.pyannote[1644].speaker SPEAKER_20
transcript.pyannote[1644].start 9608.62221875
transcript.pyannote[1644].end 9611.30534375
transcript.pyannote[1645].speaker SPEAKER_20
transcript.pyannote[1645].start 9614.20784375
transcript.pyannote[1645].end 9619.47284375
transcript.pyannote[1646].speaker SPEAKER_22
transcript.pyannote[1646].start 9617.90346875
transcript.pyannote[1646].end 9625.15971875
transcript.pyannote[1647].speaker SPEAKER_20
transcript.pyannote[1647].start 9625.32846875
transcript.pyannote[1647].end 9629.78346875
transcript.pyannote[1648].speaker SPEAKER_22
transcript.pyannote[1648].start 9627.55596875
transcript.pyannote[1648].end 9633.05721875
transcript.pyannote[1649].speaker SPEAKER_20
transcript.pyannote[1649].start 9633.39471875
transcript.pyannote[1649].end 9634.96409375
transcript.pyannote[1650].speaker SPEAKER_22
transcript.pyannote[1650].start 9634.55909375
transcript.pyannote[1650].end 9642.43971875
transcript.pyannote[1651].speaker SPEAKER_19
transcript.pyannote[1651].start 9634.96409375
transcript.pyannote[1651].end 9635.03159375
transcript.pyannote[1652].speaker SPEAKER_22
transcript.pyannote[1652].start 9643.03034375
transcript.pyannote[1652].end 9653.76284375
transcript.pyannote[1653].speaker SPEAKER_22
transcript.pyannote[1653].start 9654.23534375
transcript.pyannote[1653].end 9656.32784375
transcript.pyannote[1654].speaker SPEAKER_22
transcript.pyannote[1654].start 9658.31909375
transcript.pyannote[1654].end 9658.77471875
transcript.pyannote[1655].speaker SPEAKER_22
transcript.pyannote[1655].start 9660.02346875
transcript.pyannote[1655].end 9660.93471875
transcript.pyannote[1656].speaker SPEAKER_22
transcript.pyannote[1656].start 9661.74471875
transcript.pyannote[1656].end 9665.55846875
transcript.pyannote[1657].speaker SPEAKER_22
transcript.pyannote[1657].start 9665.77784375
transcript.pyannote[1657].end 9666.67221875
transcript.pyannote[1658].speaker SPEAKER_22
transcript.pyannote[1658].start 9667.56659375
transcript.pyannote[1658].end 9670.35096875
transcript.pyannote[1659].speaker SPEAKER_22
transcript.pyannote[1659].start 9670.72221875
transcript.pyannote[1659].end 9673.74284375
transcript.pyannote[1660].speaker SPEAKER_20
transcript.pyannote[1660].start 9674.63721875
transcript.pyannote[1660].end 9680.76284375
transcript.pyannote[1661].speaker SPEAKER_22
transcript.pyannote[1661].start 9676.71284375
transcript.pyannote[1661].end 9677.75909375
transcript.pyannote[1662].speaker SPEAKER_22
transcript.pyannote[1662].start 9678.02909375
transcript.pyannote[1662].end 9678.97409375
transcript.pyannote[1663].speaker SPEAKER_22
transcript.pyannote[1663].start 9680.34096875
transcript.pyannote[1663].end 9682.75409375
transcript.pyannote[1664].speaker SPEAKER_22
transcript.pyannote[1664].start 9683.69909375
transcript.pyannote[1664].end 9690.63471875
transcript.pyannote[1665].speaker SPEAKER_20
transcript.pyannote[1665].start 9691.14096875
transcript.pyannote[1665].end 9699.42659375
transcript.pyannote[1666].speaker SPEAKER_22
transcript.pyannote[1666].start 9696.37221875
transcript.pyannote[1666].end 9696.81096875
transcript.pyannote[1667].speaker SPEAKER_22
transcript.pyannote[1667].start 9698.66721875
transcript.pyannote[1667].end 9710.58096875
transcript.pyannote[1668].speaker SPEAKER_22
transcript.pyannote[1668].start 9710.85096875
transcript.pyannote[1668].end 9712.33596875
transcript.pyannote[1669].speaker SPEAKER_22
transcript.pyannote[1669].start 9712.77471875
transcript.pyannote[1669].end 9716.55471875
transcript.pyannote[1670].speaker SPEAKER_22
transcript.pyannote[1670].start 9717.49971875
transcript.pyannote[1670].end 9718.71471875
transcript.pyannote[1671].speaker SPEAKER_20
transcript.pyannote[1671].start 9720.90846875
transcript.pyannote[1671].end 9721.14471875
transcript.pyannote[1672].speaker SPEAKER_22
transcript.pyannote[1672].start 9721.14471875
transcript.pyannote[1672].end 9724.87409375
transcript.pyannote[1673].speaker SPEAKER_22
transcript.pyannote[1673].start 9725.22846875
transcript.pyannote[1673].end 9729.63284375
transcript.pyannote[1674].speaker SPEAKER_22
transcript.pyannote[1674].start 9730.18971875
transcript.pyannote[1674].end 9731.05034375
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 9732.19784375
transcript.pyannote[1675].end 9739.89284375
transcript.pyannote[1676].speaker SPEAKER_22
transcript.pyannote[1676].start 9734.42534375
transcript.pyannote[1676].end 9737.81721875
transcript.pyannote[1677].speaker SPEAKER_22
transcript.pyannote[1677].start 9740.53409375
transcript.pyannote[1677].end 9748.26284375
transcript.pyannote[1678].speaker SPEAKER_20
transcript.pyannote[1678].start 9743.90909375
transcript.pyannote[1678].end 9744.29721875
transcript.pyannote[1679].speaker SPEAKER_21
transcript.pyannote[1679].start 9744.29721875
transcript.pyannote[1679].end 9744.34784375
transcript.pyannote[1680].speaker SPEAKER_21
transcript.pyannote[1680].start 9747.79034375
transcript.pyannote[1680].end 9748.61721875
transcript.pyannote[1681].speaker SPEAKER_22
transcript.pyannote[1681].start 9748.49909375
transcript.pyannote[1681].end 9758.23596875
transcript.pyannote[1682].speaker SPEAKER_20
transcript.pyannote[1682].start 9757.66221875
transcript.pyannote[1682].end 9762.80909375
transcript.pyannote[1683].speaker SPEAKER_22
transcript.pyannote[1683].start 9759.99096875
transcript.pyannote[1683].end 9760.37909375
transcript.pyannote[1684].speaker SPEAKER_22
transcript.pyannote[1684].start 9761.79659375
transcript.pyannote[1684].end 9763.36596875
transcript.pyannote[1685].speaker SPEAKER_20
transcript.pyannote[1685].start 9763.77096875
transcript.pyannote[1685].end 9765.96471875
transcript.pyannote[1686].speaker SPEAKER_22
transcript.pyannote[1686].start 9765.96471875
transcript.pyannote[1686].end 9773.94659375
transcript.pyannote[1687].speaker SPEAKER_20
transcript.pyannote[1687].start 9771.88784375
transcript.pyannote[1687].end 9772.46159375
transcript.pyannote[1688].speaker SPEAKER_22
transcript.pyannote[1688].start 9774.30096875
transcript.pyannote[1688].end 9786.19784375
transcript.pyannote[1689].speaker SPEAKER_22
transcript.pyannote[1689].start 9786.94034375
transcript.pyannote[1689].end 9791.19284375
transcript.pyannote[1690].speaker SPEAKER_22
transcript.pyannote[1690].start 9791.85096875
transcript.pyannote[1690].end 9792.44159375
transcript.pyannote[1691].speaker SPEAKER_22
transcript.pyannote[1691].start 9792.55971875
transcript.pyannote[1691].end 9799.07346875
transcript.pyannote[1692].speaker SPEAKER_20
transcript.pyannote[1692].start 9799.52909375
transcript.pyannote[1692].end 9805.51971875
transcript.pyannote[1693].speaker SPEAKER_22
transcript.pyannote[1693].start 9802.70159375
transcript.pyannote[1693].end 9803.15721875
transcript.pyannote[1694].speaker SPEAKER_22
transcript.pyannote[1694].start 9805.18221875
transcript.pyannote[1694].end 9807.42659375
transcript.pyannote[1695].speaker SPEAKER_20
transcript.pyannote[1695].start 9807.67971875
transcript.pyannote[1695].end 9820.01534375
transcript.pyannote[1696].speaker SPEAKER_00
transcript.pyannote[1696].start 9815.84721875
transcript.pyannote[1696].end 9816.16784375
transcript.pyannote[1697].speaker SPEAKER_20
transcript.pyannote[1697].start 9820.21784375
transcript.pyannote[1697].end 9823.59284375
transcript.pyannote[1698].speaker SPEAKER_22
transcript.pyannote[1698].start 9822.10784375
transcript.pyannote[1698].end 9827.30534375
transcript.pyannote[1699].speaker SPEAKER_20
transcript.pyannote[1699].start 9824.68971875
transcript.pyannote[1699].end 9825.31409375
transcript.pyannote[1700].speaker SPEAKER_22
transcript.pyannote[1700].start 9828.06471875
transcript.pyannote[1700].end 9828.73971875
transcript.pyannote[1701].speaker SPEAKER_20
transcript.pyannote[1701].start 9828.18284375
transcript.pyannote[1701].end 9830.30909375
transcript.pyannote[1702].speaker SPEAKER_22
transcript.pyannote[1702].start 9829.31346875
transcript.pyannote[1702].end 9830.76471875
transcript.pyannote[1703].speaker SPEAKER_22
transcript.pyannote[1703].start 9831.52409375
transcript.pyannote[1703].end 9836.87346875
transcript.pyannote[1704].speaker SPEAKER_20
transcript.pyannote[1704].start 9836.72159375
transcript.pyannote[1704].end 9841.61534375
transcript.pyannote[1705].speaker SPEAKER_22
transcript.pyannote[1705].start 9837.36284375
transcript.pyannote[1705].end 9840.07971875
transcript.pyannote[1706].speaker SPEAKER_22
transcript.pyannote[1706].start 9841.12596875
transcript.pyannote[1706].end 9843.82596875
transcript.pyannote[1707].speaker SPEAKER_20
transcript.pyannote[1707].start 9841.69971875
transcript.pyannote[1707].end 9842.62784375
transcript.pyannote[1708].speaker SPEAKER_20
transcript.pyannote[1708].start 9842.71221875
transcript.pyannote[1708].end 9842.72909375
transcript.pyannote[1709].speaker SPEAKER_20
transcript.pyannote[1709].start 9843.92721875
transcript.pyannote[1709].end 9848.73659375
transcript.pyannote[1710].speaker SPEAKER_22
transcript.pyannote[1710].start 9848.06159375
transcript.pyannote[1710].end 9849.34409375
transcript.pyannote[1711].speaker SPEAKER_20
transcript.pyannote[1711].start 9849.34409375
transcript.pyannote[1711].end 9854.15346875
transcript.pyannote[1712].speaker SPEAKER_22
transcript.pyannote[1712].start 9849.36096875
transcript.pyannote[1712].end 9849.37784375
transcript.pyannote[1713].speaker SPEAKER_22
transcript.pyannote[1713].start 9853.39409375
transcript.pyannote[1713].end 9855.09846875
transcript.pyannote[1714].speaker SPEAKER_20
transcript.pyannote[1714].start 9855.09846875
transcript.pyannote[1714].end 9856.60034375
transcript.pyannote[1715].speaker SPEAKER_22
transcript.pyannote[1715].start 9856.14471875
transcript.pyannote[1715].end 9857.46096875
transcript.pyannote[1716].speaker SPEAKER_20
transcript.pyannote[1716].start 9857.78159375
transcript.pyannote[1716].end 9858.99659375
transcript.pyannote[1717].speaker SPEAKER_22
transcript.pyannote[1717].start 9858.35534375
transcript.pyannote[1717].end 9863.35034375
transcript.pyannote[1718].speaker SPEAKER_20
transcript.pyannote[1718].start 9862.25346875
transcript.pyannote[1718].end 9866.77596875
transcript.pyannote[1719].speaker SPEAKER_22
transcript.pyannote[1719].start 9866.28659375
transcript.pyannote[1719].end 9868.12596875
transcript.pyannote[1720].speaker SPEAKER_22
transcript.pyannote[1720].start 9868.86846875
transcript.pyannote[1720].end 9877.40721875
transcript.pyannote[1721].speaker SPEAKER_22
transcript.pyannote[1721].start 9877.49159375
transcript.pyannote[1721].end 9877.82909375
transcript.pyannote[1722].speaker SPEAKER_22
transcript.pyannote[1722].start 9878.01471875
transcript.pyannote[1722].end 9880.49534375
transcript.pyannote[1723].speaker SPEAKER_22
transcript.pyannote[1723].start 9881.18721875
transcript.pyannote[1723].end 9891.83534375
transcript.pyannote[1724].speaker SPEAKER_06
transcript.pyannote[1724].start 9893.74221875
transcript.pyannote[1724].end 9893.75909375
transcript.pyannote[1725].speaker SPEAKER_09
transcript.pyannote[1725].start 9893.75909375
transcript.pyannote[1725].end 9893.79284375
transcript.pyannote[1726].speaker SPEAKER_06
transcript.pyannote[1726].start 9893.79284375
transcript.pyannote[1726].end 9898.23096875
transcript.pyannote[1727].speaker SPEAKER_09
transcript.pyannote[1727].start 9901.63971875
transcript.pyannote[1727].end 9902.06159375
transcript.pyannote[1728].speaker SPEAKER_15
transcript.pyannote[1728].start 9906.97221875
transcript.pyannote[1728].end 9910.73534375
transcript.pyannote[1729].speaker SPEAKER_15
transcript.pyannote[1729].start 9911.22471875
transcript.pyannote[1729].end 9915.07221875
transcript.pyannote[1730].speaker SPEAKER_06
transcript.pyannote[1730].start 9915.40971875
transcript.pyannote[1730].end 9916.40534375
transcript.pyannote[1731].speaker SPEAKER_15
transcript.pyannote[1731].start 9919.62846875
transcript.pyannote[1731].end 9919.69596875
transcript.pyannote[1732].speaker SPEAKER_20
transcript.pyannote[1732].start 9919.69596875
transcript.pyannote[1732].end 9920.32034375
transcript.pyannote[1733].speaker SPEAKER_06
transcript.pyannote[1733].start 9920.64096875
transcript.pyannote[1733].end 9920.65784375
transcript.pyannote[1734].speaker SPEAKER_15
transcript.pyannote[1734].start 9920.65784375
transcript.pyannote[1734].end 9925.29846875
transcript.pyannote[1735].speaker SPEAKER_15
transcript.pyannote[1735].start 9925.60221875
transcript.pyannote[1735].end 9926.07471875
transcript.pyannote[1736].speaker SPEAKER_15
transcript.pyannote[1736].start 9927.15471875
transcript.pyannote[1736].end 9927.91409375
transcript.pyannote[1737].speaker SPEAKER_15
transcript.pyannote[1737].start 9928.85909375
transcript.pyannote[1737].end 9931.13721875
transcript.pyannote[1738].speaker SPEAKER_15
transcript.pyannote[1738].start 9931.42409375
transcript.pyannote[1738].end 9933.28034375
transcript.pyannote[1739].speaker SPEAKER_09
transcript.pyannote[1739].start 9933.28034375
transcript.pyannote[1739].end 9933.58409375
transcript.pyannote[1740].speaker SPEAKER_15
transcript.pyannote[1740].start 9933.71909375
transcript.pyannote[1740].end 9937.04346875
transcript.pyannote[1741].speaker SPEAKER_15
transcript.pyannote[1741].start 9937.39784375
transcript.pyannote[1741].end 9938.24159375
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 9939.10221875
transcript.pyannote[1742].end 9943.11846875
transcript.pyannote[1743].speaker SPEAKER_15
transcript.pyannote[1743].start 9943.59096875
transcript.pyannote[1743].end 9947.75909375
transcript.pyannote[1744].speaker SPEAKER_20
transcript.pyannote[1744].start 9948.24846875
transcript.pyannote[1744].end 9954.91409375
transcript.pyannote[1745].speaker SPEAKER_15
transcript.pyannote[1745].start 9957.78284375
transcript.pyannote[1745].end 9960.63471875
transcript.pyannote[1746].speaker SPEAKER_20
transcript.pyannote[1746].start 9961.25909375
transcript.pyannote[1746].end 9961.54596875
transcript.pyannote[1747].speaker SPEAKER_15
transcript.pyannote[1747].start 9962.64284375
transcript.pyannote[1747].end 9962.91284375
transcript.pyannote[1748].speaker SPEAKER_15
transcript.pyannote[1748].start 9964.02659375
transcript.pyannote[1748].end 9964.71846875
transcript.pyannote[1749].speaker SPEAKER_15
transcript.pyannote[1749].start 9964.98846875
transcript.pyannote[1749].end 9966.38909375
transcript.pyannote[1750].speaker SPEAKER_15
transcript.pyannote[1750].start 9966.96284375
transcript.pyannote[1750].end 9967.85721875
transcript.pyannote[1751].speaker SPEAKER_15
transcript.pyannote[1751].start 9967.97534375
transcript.pyannote[1751].end 9968.02596875
transcript.pyannote[1752].speaker SPEAKER_15
transcript.pyannote[1752].start 9968.49846875
transcript.pyannote[1752].end 9969.10596875
transcript.pyannote[1753].speaker SPEAKER_15
transcript.pyannote[1753].start 9969.46034375
transcript.pyannote[1753].end 9973.67909375
transcript.pyannote[1754].speaker SPEAKER_20
transcript.pyannote[1754].start 9974.21909375
transcript.pyannote[1754].end 9974.65784375
transcript.pyannote[1755].speaker SPEAKER_15
transcript.pyannote[1755].start 9974.47221875
transcript.pyannote[1755].end 9975.82221875
transcript.pyannote[1756].speaker SPEAKER_20
transcript.pyannote[1756].start 9976.21034375
transcript.pyannote[1756].end 9995.02596875
transcript.pyannote[1757].speaker SPEAKER_15
transcript.pyannote[1757].start 9995.54909375
transcript.pyannote[1757].end 10000.24034375
transcript.pyannote[1758].speaker SPEAKER_15
transcript.pyannote[1758].start 10000.54409375
transcript.pyannote[1758].end 10001.08409375
transcript.pyannote[1759].speaker SPEAKER_15
transcript.pyannote[1759].start 10001.72534375
transcript.pyannote[1759].end 10003.76721875
transcript.pyannote[1760].speaker SPEAKER_15
transcript.pyannote[1760].start 10004.49284375
transcript.pyannote[1760].end 10004.98221875
transcript.pyannote[1761].speaker SPEAKER_08
transcript.pyannote[1761].start 10005.13409375
transcript.pyannote[1761].end 10005.48846875
transcript.pyannote[1762].speaker SPEAKER_15
transcript.pyannote[1762].start 10005.52221875
transcript.pyannote[1762].end 10007.51346875
transcript.pyannote[1763].speaker SPEAKER_08
transcript.pyannote[1763].start 10007.51346875
transcript.pyannote[1763].end 10007.91846875
transcript.pyannote[1764].speaker SPEAKER_15
transcript.pyannote[1764].start 10007.53034375
transcript.pyannote[1764].end 10007.54721875
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 10007.88471875
transcript.pyannote[1765].end 10010.19659375
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 10010.58471875
transcript.pyannote[1766].end 10012.33971875
transcript.pyannote[1767].speaker SPEAKER_08
transcript.pyannote[1767].start 10012.50846875
transcript.pyannote[1767].end 10012.86284375
transcript.pyannote[1768].speaker SPEAKER_15
transcript.pyannote[1768].start 10013.62221875
transcript.pyannote[1768].end 10015.51221875
transcript.pyannote[1769].speaker SPEAKER_15
transcript.pyannote[1769].start 10016.37284375
transcript.pyannote[1769].end 10018.22909375
transcript.pyannote[1770].speaker SPEAKER_15
transcript.pyannote[1770].start 10019.15721875
transcript.pyannote[1770].end 10020.18659375
transcript.pyannote[1771].speaker SPEAKER_15
transcript.pyannote[1771].start 10020.74346875
transcript.pyannote[1771].end 10021.03034375
transcript.pyannote[1772].speaker SPEAKER_15
transcript.pyannote[1772].start 10021.19909375
transcript.pyannote[1772].end 10022.38034375
transcript.pyannote[1773].speaker SPEAKER_15
transcript.pyannote[1773].start 10023.05534375
transcript.pyannote[1773].end 10024.48971875
transcript.pyannote[1774].speaker SPEAKER_15
transcript.pyannote[1774].start 10024.84409375
transcript.pyannote[1774].end 10028.70846875
transcript.pyannote[1775].speaker SPEAKER_15
transcript.pyannote[1775].start 10028.97846875
transcript.pyannote[1775].end 10029.53534375
transcript.pyannote[1776].speaker SPEAKER_20
transcript.pyannote[1776].start 10031.62784375
transcript.pyannote[1776].end 10032.92721875
transcript.pyannote[1777].speaker SPEAKER_20
transcript.pyannote[1777].start 10033.51784375
transcript.pyannote[1777].end 10037.06159375
transcript.pyannote[1778].speaker SPEAKER_15
transcript.pyannote[1778].start 10035.17159375
transcript.pyannote[1778].end 10035.86346875
transcript.pyannote[1779].speaker SPEAKER_15
transcript.pyannote[1779].start 10036.45409375
transcript.pyannote[1779].end 10039.35659375
transcript.pyannote[1780].speaker SPEAKER_20
transcript.pyannote[1780].start 10039.35659375
transcript.pyannote[1780].end 10039.66034375
transcript.pyannote[1781].speaker SPEAKER_15
transcript.pyannote[1781].start 10039.66034375
transcript.pyannote[1781].end 10040.94284375
transcript.pyannote[1782].speaker SPEAKER_15
transcript.pyannote[1782].start 10041.21284375
transcript.pyannote[1782].end 10042.59659375
transcript.pyannote[1783].speaker SPEAKER_15
transcript.pyannote[1783].start 10042.96784375
transcript.pyannote[1783].end 10043.89596875
transcript.pyannote[1784].speaker SPEAKER_15
transcript.pyannote[1784].start 10044.73971875
transcript.pyannote[1784].end 10046.07284375
transcript.pyannote[1785].speaker SPEAKER_15
transcript.pyannote[1785].start 10046.57909375
transcript.pyannote[1785].end 10049.34659375
transcript.pyannote[1786].speaker SPEAKER_15
transcript.pyannote[1786].start 10050.22409375
transcript.pyannote[1786].end 10051.33784375
transcript.pyannote[1787].speaker SPEAKER_15
transcript.pyannote[1787].start 10051.86096875
transcript.pyannote[1787].end 10052.35034375
transcript.pyannote[1788].speaker SPEAKER_15
transcript.pyannote[1788].start 10053.10971875
transcript.pyannote[1788].end 10061.20971875
transcript.pyannote[1789].speaker SPEAKER_15
transcript.pyannote[1789].start 10061.78346875
transcript.pyannote[1789].end 10062.37409375
transcript.pyannote[1790].speaker SPEAKER_15
transcript.pyannote[1790].start 10062.47534375
transcript.pyannote[1790].end 10067.67284375
transcript.pyannote[1791].speaker SPEAKER_15
transcript.pyannote[1791].start 10068.12846875
transcript.pyannote[1791].end 10068.87096875
transcript.pyannote[1792].speaker SPEAKER_15
transcript.pyannote[1792].start 10069.00596875
transcript.pyannote[1792].end 10070.79471875
transcript.pyannote[1793].speaker SPEAKER_20
transcript.pyannote[1793].start 10072.60034375
transcript.pyannote[1793].end 10076.07659375
transcript.pyannote[1794].speaker SPEAKER_15
transcript.pyannote[1794].start 10076.21159375
transcript.pyannote[1794].end 10076.71784375
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 10076.90346875
transcript.pyannote[1795].end 10078.60784375
transcript.pyannote[1796].speaker SPEAKER_20
transcript.pyannote[1796].start 10079.53596875
transcript.pyannote[1796].end 10080.76784375
transcript.pyannote[1797].speaker SPEAKER_15
transcript.pyannote[1797].start 10080.71721875
transcript.pyannote[1797].end 10082.37096875
transcript.pyannote[1798].speaker SPEAKER_20
transcript.pyannote[1798].start 10083.48471875
transcript.pyannote[1798].end 10083.83909375
transcript.pyannote[1799].speaker SPEAKER_20
transcript.pyannote[1799].start 10084.04159375
transcript.pyannote[1799].end 10087.02846875
transcript.pyannote[1800].speaker SPEAKER_20
transcript.pyannote[1800].start 10087.95659375
transcript.pyannote[1800].end 10091.73659375
transcript.pyannote[1801].speaker SPEAKER_20
transcript.pyannote[1801].start 10092.17534375
transcript.pyannote[1801].end 10093.47471875
transcript.pyannote[1802].speaker SPEAKER_20
transcript.pyannote[1802].start 10094.16659375
transcript.pyannote[1802].end 10096.41096875
transcript.pyannote[1803].speaker SPEAKER_15
transcript.pyannote[1803].start 10096.54596875
transcript.pyannote[1803].end 10099.31346875
transcript.pyannote[1804].speaker SPEAKER_20
transcript.pyannote[1804].start 10099.58346875
transcript.pyannote[1804].end 10102.77284375
transcript.pyannote[1805].speaker SPEAKER_15
transcript.pyannote[1805].start 10103.59971875
transcript.pyannote[1805].end 10104.62909375
transcript.pyannote[1806].speaker SPEAKER_15
transcript.pyannote[1806].start 10105.33784375
transcript.pyannote[1806].end 10106.31659375
transcript.pyannote[1807].speaker SPEAKER_15
transcript.pyannote[1807].start 10106.67096875
transcript.pyannote[1807].end 10107.68346875
transcript.pyannote[1808].speaker SPEAKER_15
transcript.pyannote[1808].start 10107.81846875
transcript.pyannote[1808].end 10108.61159375
transcript.pyannote[1809].speaker SPEAKER_15
transcript.pyannote[1809].start 10109.10096875
transcript.pyannote[1809].end 10112.62784375
transcript.pyannote[1810].speaker SPEAKER_15
transcript.pyannote[1810].start 10113.25221875
transcript.pyannote[1810].end 10114.87221875
transcript.pyannote[1811].speaker SPEAKER_15
transcript.pyannote[1811].start 10114.99034375
transcript.pyannote[1811].end 10121.79096875
transcript.pyannote[1812].speaker SPEAKER_09
transcript.pyannote[1812].start 10116.34034375
transcript.pyannote[1812].end 10116.42471875
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 10116.42471875
transcript.pyannote[1813].end 10116.45846875
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 10117.67346875
transcript.pyannote[1814].end 10117.77471875
transcript.pyannote[1815].speaker SPEAKER_09
transcript.pyannote[1815].start 10117.77471875
transcript.pyannote[1815].end 10117.84221875
transcript.pyannote[1816].speaker SPEAKER_09
transcript.pyannote[1816].start 10118.06159375
transcript.pyannote[1816].end 10118.11221875
transcript.pyannote[1817].speaker SPEAKER_15
transcript.pyannote[1817].start 10122.29721875
transcript.pyannote[1817].end 10127.37659375
transcript.pyannote[1818].speaker SPEAKER_15
transcript.pyannote[1818].start 10127.91659375
transcript.pyannote[1818].end 10132.77659375
transcript.pyannote[1819].speaker SPEAKER_15
transcript.pyannote[1819].start 10133.55284375
transcript.pyannote[1819].end 10135.07159375
transcript.pyannote[1820].speaker SPEAKER_15
transcript.pyannote[1820].start 10136.40471875
transcript.pyannote[1820].end 10143.42471875
transcript.pyannote[1821].speaker SPEAKER_15
transcript.pyannote[1821].start 10143.72846875
transcript.pyannote[1821].end 10145.73659375
transcript.pyannote[1822].speaker SPEAKER_15
transcript.pyannote[1822].start 10146.37784375
transcript.pyannote[1822].end 10147.28909375
transcript.pyannote[1823].speaker SPEAKER_15
transcript.pyannote[1823].start 10148.26784375
transcript.pyannote[1823].end 10148.97659375
transcript.pyannote[1824].speaker SPEAKER_15
transcript.pyannote[1824].start 10149.75284375
transcript.pyannote[1824].end 10150.47846875
transcript.pyannote[1825].speaker SPEAKER_15
transcript.pyannote[1825].start 10150.84971875
transcript.pyannote[1825].end 10151.89596875
transcript.pyannote[1826].speaker SPEAKER_15
transcript.pyannote[1826].start 10152.90846875
transcript.pyannote[1826].end 10153.76909375
transcript.pyannote[1827].speaker SPEAKER_15
transcript.pyannote[1827].start 10154.73096875
transcript.pyannote[1827].end 10157.56596875
transcript.pyannote[1828].speaker SPEAKER_15
transcript.pyannote[1828].start 10157.70096875
transcript.pyannote[1828].end 10158.13971875
transcript.pyannote[1829].speaker SPEAKER_15
transcript.pyannote[1829].start 10158.88221875
transcript.pyannote[1829].end 10160.85659375
transcript.pyannote[1830].speaker SPEAKER_15
transcript.pyannote[1830].start 10161.46409375
transcript.pyannote[1830].end 10163.50596875
transcript.pyannote[1831].speaker SPEAKER_19
transcript.pyannote[1831].start 10165.29471875
transcript.pyannote[1831].end 10166.22284375
transcript.pyannote[1832].speaker SPEAKER_15
transcript.pyannote[1832].start 10166.76284375
transcript.pyannote[1832].end 10167.50534375
transcript.pyannote[1833].speaker SPEAKER_19
transcript.pyannote[1833].start 10168.12971875
transcript.pyannote[1833].end 10168.88909375
transcript.pyannote[1834].speaker SPEAKER_15
transcript.pyannote[1834].start 10169.12534375
transcript.pyannote[1834].end 10170.93096875
transcript.pyannote[1835].speaker SPEAKER_19
transcript.pyannote[1835].start 10171.87596875
transcript.pyannote[1835].end 10171.96034375
transcript.pyannote[1836].speaker SPEAKER_15
transcript.pyannote[1836].start 10172.16284375
transcript.pyannote[1836].end 10172.98971875
transcript.pyannote[1837].speaker SPEAKER_15
transcript.pyannote[1837].start 10175.11596875
transcript.pyannote[1837].end 10176.02721875
transcript.pyannote[1838].speaker SPEAKER_20
transcript.pyannote[1838].start 10177.39409375
transcript.pyannote[1838].end 10177.88346875
transcript.pyannote[1839].speaker SPEAKER_15
transcript.pyannote[1839].start 10178.38971875
transcript.pyannote[1839].end 10179.46971875
transcript.pyannote[1840].speaker SPEAKER_20
transcript.pyannote[1840].start 10180.39784375
transcript.pyannote[1840].end 10182.57471875
transcript.pyannote[1841].speaker SPEAKER_20
transcript.pyannote[1841].start 10183.06409375
transcript.pyannote[1841].end 10183.70534375
transcript.pyannote[1842].speaker SPEAKER_20
transcript.pyannote[1842].start 10184.36346875
transcript.pyannote[1842].end 10184.90346875
transcript.pyannote[1843].speaker SPEAKER_20
transcript.pyannote[1843].start 10184.97096875
transcript.pyannote[1843].end 10187.51909375
transcript.pyannote[1844].speaker SPEAKER_15
transcript.pyannote[1844].start 10188.09284375
transcript.pyannote[1844].end 10189.08846875
transcript.pyannote[1845].speaker SPEAKER_20
transcript.pyannote[1845].start 10189.20659375
transcript.pyannote[1845].end 10191.31596875
transcript.pyannote[1846].speaker SPEAKER_20
transcript.pyannote[1846].start 10191.87284375
transcript.pyannote[1846].end 10193.34096875
transcript.pyannote[1847].speaker SPEAKER_15
transcript.pyannote[1847].start 10192.96971875
transcript.pyannote[1847].end 10195.63596875
transcript.pyannote[1848].speaker SPEAKER_20
transcript.pyannote[1848].start 10196.29409375
transcript.pyannote[1848].end 10196.68221875
transcript.pyannote[1849].speaker SPEAKER_15
transcript.pyannote[1849].start 10196.69909375
transcript.pyannote[1849].end 10197.54284375
transcript.pyannote[1850].speaker SPEAKER_15
transcript.pyannote[1850].start 10199.14596875
transcript.pyannote[1850].end 10199.66909375
transcript.pyannote[1851].speaker SPEAKER_15
transcript.pyannote[1851].start 10200.56346875
transcript.pyannote[1851].end 10201.49159375
transcript.pyannote[1852].speaker SPEAKER_15
transcript.pyannote[1852].start 10202.31846875
transcript.pyannote[1852].end 10204.88346875
transcript.pyannote[1853].speaker SPEAKER_15
transcript.pyannote[1853].start 10205.47409375
transcript.pyannote[1853].end 10208.84909375
transcript.pyannote[1854].speaker SPEAKER_15
transcript.pyannote[1854].start 10209.92909375
transcript.pyannote[1854].end 10216.57784375
transcript.pyannote[1855].speaker SPEAKER_15
transcript.pyannote[1855].start 10216.59471875
transcript.pyannote[1855].end 10219.17659375
transcript.pyannote[1856].speaker SPEAKER_15
transcript.pyannote[1856].start 10219.73346875
transcript.pyannote[1856].end 10220.39159375
transcript.pyannote[1857].speaker SPEAKER_15
transcript.pyannote[1857].start 10221.85971875
transcript.pyannote[1857].end 10223.90159375
transcript.pyannote[1858].speaker SPEAKER_15
transcript.pyannote[1858].start 10224.03659375
transcript.pyannote[1858].end 10229.70659375
transcript.pyannote[1859].speaker SPEAKER_20
transcript.pyannote[1859].start 10231.07346875
transcript.pyannote[1859].end 10232.44034375
transcript.pyannote[1860].speaker SPEAKER_15
transcript.pyannote[1860].start 10235.57909375
transcript.pyannote[1860].end 10237.87409375
transcript.pyannote[1861].speaker SPEAKER_15
transcript.pyannote[1861].start 10238.31284375
transcript.pyannote[1861].end 10242.19409375
transcript.pyannote[1862].speaker SPEAKER_15
transcript.pyannote[1862].start 10242.44721875
transcript.pyannote[1862].end 10253.82096875
transcript.pyannote[1863].speaker SPEAKER_15
transcript.pyannote[1863].start 10254.78284375
transcript.pyannote[1863].end 10255.55909375
transcript.pyannote[1864].speaker SPEAKER_15
transcript.pyannote[1864].start 10257.97221875
transcript.pyannote[1864].end 10259.74409375
transcript.pyannote[1865].speaker SPEAKER_15
transcript.pyannote[1865].start 10259.96346875
transcript.pyannote[1865].end 10260.08159375
transcript.pyannote[1866].speaker SPEAKER_20
transcript.pyannote[1866].start 10260.08159375
transcript.pyannote[1866].end 10260.13221875
transcript.pyannote[1867].speaker SPEAKER_06
transcript.pyannote[1867].start 10260.13221875
transcript.pyannote[1867].end 10260.18284375
transcript.pyannote[1868].speaker SPEAKER_20
transcript.pyannote[1868].start 10260.18284375
transcript.pyannote[1868].end 10260.21659375
transcript.pyannote[1869].speaker SPEAKER_06
transcript.pyannote[1869].start 10260.21659375
transcript.pyannote[1869].end 10260.35159375
transcript.pyannote[1870].speaker SPEAKER_20
transcript.pyannote[1870].start 10260.35159375
transcript.pyannote[1870].end 10260.80721875
transcript.pyannote[1871].speaker SPEAKER_15
transcript.pyannote[1871].start 10260.80721875
transcript.pyannote[1871].end 10262.34284375
transcript.pyannote[1872].speaker SPEAKER_20
transcript.pyannote[1872].start 10261.06034375
transcript.pyannote[1872].end 10261.90409375
transcript.pyannote[1873].speaker SPEAKER_06
transcript.pyannote[1873].start 10261.90409375
transcript.pyannote[1873].end 10261.97159375
transcript.pyannote[1874].speaker SPEAKER_20
transcript.pyannote[1874].start 10261.97159375
transcript.pyannote[1874].end 10263.91221875
transcript.pyannote[1875].speaker SPEAKER_15
transcript.pyannote[1875].start 10264.38471875
transcript.pyannote[1875].end 10265.05971875
transcript.pyannote[1876].speaker SPEAKER_20
transcript.pyannote[1876].start 10265.00909375
transcript.pyannote[1876].end 10265.66721875
transcript.pyannote[1877].speaker SPEAKER_20
transcript.pyannote[1877].start 10268.18159375
transcript.pyannote[1877].end 10269.26159375
transcript.pyannote[1878].speaker SPEAKER_15
transcript.pyannote[1878].start 10270.15596875
transcript.pyannote[1878].end 10272.09659375
transcript.pyannote[1879].speaker SPEAKER_20
transcript.pyannote[1879].start 10272.09659375
transcript.pyannote[1879].end 10272.67034375
transcript.pyannote[1880].speaker SPEAKER_15
transcript.pyannote[1880].start 10272.67034375
transcript.pyannote[1880].end 10272.97409375
transcript.pyannote[1881].speaker SPEAKER_20
transcript.pyannote[1881].start 10272.85596875
transcript.pyannote[1881].end 10273.91909375
transcript.pyannote[1882].speaker SPEAKER_15
transcript.pyannote[1882].start 10273.81784375
transcript.pyannote[1882].end 10276.97346875
transcript.pyannote[1883].speaker SPEAKER_08
transcript.pyannote[1883].start 10279.48784375
transcript.pyannote[1883].end 10281.32721875
transcript.pyannote[1884].speaker SPEAKER_20
transcript.pyannote[1884].start 10281.91784375
transcript.pyannote[1884].end 10283.06534375
transcript.pyannote[1885].speaker SPEAKER_20
transcript.pyannote[1885].start 10283.35221875
transcript.pyannote[1885].end 10287.45284375
transcript.pyannote[1886].speaker SPEAKER_15
transcript.pyannote[1886].start 10287.45284375
transcript.pyannote[1886].end 10290.91221875
transcript.pyannote[1887].speaker SPEAKER_20
transcript.pyannote[1887].start 10291.50284375
transcript.pyannote[1887].end 10295.24909375
transcript.pyannote[1888].speaker SPEAKER_15
transcript.pyannote[1888].start 10291.62096875
transcript.pyannote[1888].end 10292.46471875
transcript.pyannote[1889].speaker SPEAKER_20
transcript.pyannote[1889].start 10295.68784375
transcript.pyannote[1889].end 10297.84784375
transcript.pyannote[1890].speaker SPEAKER_20
transcript.pyannote[1890].start 10298.69159375
transcript.pyannote[1890].end 10301.76284375
transcript.pyannote[1891].speaker SPEAKER_15
transcript.pyannote[1891].start 10302.72471875
transcript.pyannote[1891].end 10304.53034375
transcript.pyannote[1892].speaker SPEAKER_15
transcript.pyannote[1892].start 10305.10409375
transcript.pyannote[1892].end 10305.99846875
transcript.pyannote[1893].speaker SPEAKER_15
transcript.pyannote[1893].start 10306.25159375
transcript.pyannote[1893].end 10306.63971875
transcript.pyannote[1894].speaker SPEAKER_15
transcript.pyannote[1894].start 10307.14596875
transcript.pyannote[1894].end 10309.37346875
transcript.pyannote[1895].speaker SPEAKER_15
transcript.pyannote[1895].start 10309.77846875
transcript.pyannote[1895].end 10311.71909375
transcript.pyannote[1896].speaker SPEAKER_15
transcript.pyannote[1896].start 10312.39409375
transcript.pyannote[1896].end 10313.15346875
transcript.pyannote[1897].speaker SPEAKER_15
transcript.pyannote[1897].start 10313.86221875
transcript.pyannote[1897].end 10315.09409375
transcript.pyannote[1898].speaker SPEAKER_15
transcript.pyannote[1898].start 10315.54971875
transcript.pyannote[1898].end 10323.32909375
transcript.pyannote[1899].speaker SPEAKER_20
transcript.pyannote[1899].start 10324.05471875
transcript.pyannote[1899].end 10332.99846875
transcript.pyannote[1900].speaker SPEAKER_15
transcript.pyannote[1900].start 10333.21784375
transcript.pyannote[1900].end 10334.26409375
transcript.pyannote[1901].speaker SPEAKER_20
transcript.pyannote[1901].start 10334.66909375
transcript.pyannote[1901].end 10335.76596875
transcript.pyannote[1902].speaker SPEAKER_20
transcript.pyannote[1902].start 10336.06971875
transcript.pyannote[1902].end 10337.70659375
transcript.pyannote[1903].speaker SPEAKER_20
transcript.pyannote[1903].start 10337.74034375
transcript.pyannote[1903].end 10339.81596875
transcript.pyannote[1904].speaker SPEAKER_20
transcript.pyannote[1904].start 10341.06471875
transcript.pyannote[1904].end 10343.17409375
transcript.pyannote[1905].speaker SPEAKER_15
transcript.pyannote[1905].start 10342.90409375
transcript.pyannote[1905].end 10348.18596875
transcript.pyannote[1906].speaker SPEAKER_20
transcript.pyannote[1906].start 10344.69284375
transcript.pyannote[1906].end 10345.06409375
transcript.pyannote[1907].speaker SPEAKER_20
transcript.pyannote[1907].start 10348.70909375
transcript.pyannote[1907].end 10360.35284375
transcript.pyannote[1908].speaker SPEAKER_15
transcript.pyannote[1908].start 10360.50471875
transcript.pyannote[1908].end 10361.97284375
transcript.pyannote[1909].speaker SPEAKER_15
transcript.pyannote[1909].start 10362.49596875
transcript.pyannote[1909].end 10367.05221875
transcript.pyannote[1910].speaker SPEAKER_15
transcript.pyannote[1910].start 10367.42346875
transcript.pyannote[1910].end 10371.77721875
transcript.pyannote[1911].speaker SPEAKER_15
transcript.pyannote[1911].start 10372.16534375
transcript.pyannote[1911].end 10373.75159375
transcript.pyannote[1912].speaker SPEAKER_15
transcript.pyannote[1912].start 10374.24096875
transcript.pyannote[1912].end 10375.42221875
transcript.pyannote[1913].speaker SPEAKER_15
transcript.pyannote[1913].start 10375.92846875
transcript.pyannote[1913].end 10376.82284375
transcript.pyannote[1914].speaker SPEAKER_15
transcript.pyannote[1914].start 10377.07596875
transcript.pyannote[1914].end 10377.66659375
transcript.pyannote[1915].speaker SPEAKER_15
transcript.pyannote[1915].start 10377.98721875
transcript.pyannote[1915].end 10378.91534375
transcript.pyannote[1916].speaker SPEAKER_15
transcript.pyannote[1916].start 10379.15159375
transcript.pyannote[1916].end 10380.21471875
transcript.pyannote[1917].speaker SPEAKER_20
transcript.pyannote[1917].start 10380.48471875
transcript.pyannote[1917].end 10413.00284375
transcript.pyannote[1918].speaker SPEAKER_15
transcript.pyannote[1918].start 10414.20096875
transcript.pyannote[1918].end 10417.84596875
transcript.pyannote[1919].speaker SPEAKER_20
transcript.pyannote[1919].start 10415.19659375
transcript.pyannote[1919].end 10415.63534375
transcript.pyannote[1920].speaker SPEAKER_20
transcript.pyannote[1920].start 10417.84596875
transcript.pyannote[1920].end 10418.18346875
transcript.pyannote[1921].speaker SPEAKER_15
transcript.pyannote[1921].start 10418.18346875
transcript.pyannote[1921].end 10419.09471875
transcript.pyannote[1922].speaker SPEAKER_15
transcript.pyannote[1922].start 10419.48284375
transcript.pyannote[1922].end 10428.64596875
transcript.pyannote[1923].speaker SPEAKER_20
transcript.pyannote[1923].start 10428.07221875
transcript.pyannote[1923].end 10429.62471875
transcript.pyannote[1924].speaker SPEAKER_15
transcript.pyannote[1924].start 10429.08471875
transcript.pyannote[1924].end 10435.75034375
transcript.pyannote[1925].speaker SPEAKER_15
transcript.pyannote[1925].start 10436.10471875
transcript.pyannote[1925].end 10436.61096875
transcript.pyannote[1926].speaker SPEAKER_15
transcript.pyannote[1926].start 10436.81346875
transcript.pyannote[1926].end 10438.02846875
transcript.pyannote[1927].speaker SPEAKER_15
transcript.pyannote[1927].start 10438.51784375
transcript.pyannote[1927].end 10443.20909375
transcript.pyannote[1928].speaker SPEAKER_15
transcript.pyannote[1928].start 10443.98534375
transcript.pyannote[1928].end 10451.03909375
transcript.pyannote[1929].speaker SPEAKER_15
transcript.pyannote[1929].start 10451.35971875
transcript.pyannote[1929].end 10452.79409375
transcript.pyannote[1930].speaker SPEAKER_20
transcript.pyannote[1930].start 10453.70534375
transcript.pyannote[1930].end 10455.15659375
transcript.pyannote[1931].speaker SPEAKER_15
transcript.pyannote[1931].start 10455.15659375
transcript.pyannote[1931].end 10457.95784375
transcript.pyannote[1932].speaker SPEAKER_20
transcript.pyannote[1932].start 10455.52784375
transcript.pyannote[1932].end 10455.78096875
transcript.pyannote[1933].speaker SPEAKER_20
transcript.pyannote[1933].start 10456.18596875
transcript.pyannote[1933].end 10457.01284375
transcript.pyannote[1934].speaker SPEAKER_15
transcript.pyannote[1934].start 10458.39659375
transcript.pyannote[1934].end 10465.80471875
transcript.pyannote[1935].speaker SPEAKER_15
transcript.pyannote[1935].start 10466.56409375
transcript.pyannote[1935].end 10467.10409375
transcript.pyannote[1936].speaker SPEAKER_15
transcript.pyannote[1936].start 10467.96471875
transcript.pyannote[1936].end 10469.07846875
transcript.pyannote[1937].speaker SPEAKER_15
transcript.pyannote[1937].start 10469.66909375
transcript.pyannote[1937].end 10472.43659375
transcript.pyannote[1938].speaker SPEAKER_20
transcript.pyannote[1938].start 10472.67284375
transcript.pyannote[1938].end 10477.73534375
transcript.pyannote[1939].speaker SPEAKER_15
transcript.pyannote[1939].start 10476.82409375
transcript.pyannote[1939].end 10479.40596875
transcript.pyannote[1940].speaker SPEAKER_20
transcript.pyannote[1940].start 10479.10221875
transcript.pyannote[1940].end 10479.54096875
transcript.pyannote[1941].speaker SPEAKER_15
transcript.pyannote[1941].start 10479.49034375
transcript.pyannote[1941].end 10481.92034375
transcript.pyannote[1942].speaker SPEAKER_15
transcript.pyannote[1942].start 10482.67971875
transcript.pyannote[1942].end 10483.59096875
transcript.pyannote[1943].speaker SPEAKER_20
transcript.pyannote[1943].start 10482.93284375
transcript.pyannote[1943].end 10485.85221875
transcript.pyannote[1944].speaker SPEAKER_15
transcript.pyannote[1944].start 10485.86909375
transcript.pyannote[1944].end 10487.99534375
transcript.pyannote[1945].speaker SPEAKER_15
transcript.pyannote[1945].start 10488.43409375
transcript.pyannote[1945].end 10490.91471875
transcript.pyannote[1946].speaker SPEAKER_20
transcript.pyannote[1946].start 10491.03284375
transcript.pyannote[1946].end 10500.19596875
transcript.pyannote[1947].speaker SPEAKER_15
transcript.pyannote[1947].start 10500.41534375
transcript.pyannote[1947].end 10507.09784375
transcript.pyannote[1948].speaker SPEAKER_20
transcript.pyannote[1948].start 10501.90034375
transcript.pyannote[1948].end 10502.45721875
transcript.pyannote[1949].speaker SPEAKER_20
transcript.pyannote[1949].start 10503.26721875
transcript.pyannote[1949].end 10503.79034375
transcript.pyannote[1950].speaker SPEAKER_15
transcript.pyannote[1950].start 10508.78534375
transcript.pyannote[1950].end 10512.78471875
transcript.pyannote[1951].speaker SPEAKER_15
transcript.pyannote[1951].start 10513.20659375
transcript.pyannote[1951].end 10514.05034375
transcript.pyannote[1952].speaker SPEAKER_15
transcript.pyannote[1952].start 10514.69159375
transcript.pyannote[1952].end 10517.39159375
transcript.pyannote[1953].speaker SPEAKER_15
transcript.pyannote[1953].start 10517.88096875
transcript.pyannote[1953].end 10528.41096875
transcript.pyannote[1954].speaker SPEAKER_15
transcript.pyannote[1954].start 10528.52909375
transcript.pyannote[1954].end 10532.98409375
transcript.pyannote[1955].speaker SPEAKER_15
transcript.pyannote[1955].start 10533.35534375
transcript.pyannote[1955].end 10540.03784375
transcript.pyannote[1956].speaker SPEAKER_15
transcript.pyannote[1956].start 10540.59471875
transcript.pyannote[1956].end 10541.75909375
transcript.pyannote[1957].speaker SPEAKER_20
transcript.pyannote[1957].start 10543.54784375
transcript.pyannote[1957].end 10544.66159375
transcript.pyannote[1958].speaker SPEAKER_15
transcript.pyannote[1958].start 10544.72909375
transcript.pyannote[1958].end 10545.94409375
transcript.pyannote[1959].speaker SPEAKER_20
transcript.pyannote[1959].start 10546.51784375
transcript.pyannote[1959].end 10548.03659375
transcript.pyannote[1960].speaker SPEAKER_15
transcript.pyannote[1960].start 10548.03659375
transcript.pyannote[1960].end 10548.82971875
transcript.pyannote[1961].speaker SPEAKER_20
transcript.pyannote[1961].start 10548.82971875
transcript.pyannote[1961].end 10550.83784375
transcript.pyannote[1962].speaker SPEAKER_15
transcript.pyannote[1962].start 10550.92221875
transcript.pyannote[1962].end 10552.72784375
transcript.pyannote[1963].speaker SPEAKER_20
transcript.pyannote[1963].start 10552.60971875
transcript.pyannote[1963].end 10553.16659375
transcript.pyannote[1964].speaker SPEAKER_15
transcript.pyannote[1964].start 10553.55471875
transcript.pyannote[1964].end 10556.54159375
transcript.pyannote[1965].speaker SPEAKER_20
transcript.pyannote[1965].start 10556.72721875
transcript.pyannote[1965].end 10557.58784375
transcript.pyannote[1966].speaker SPEAKER_15
transcript.pyannote[1966].start 10557.68909375
transcript.pyannote[1966].end 10558.56659375
transcript.pyannote[1967].speaker SPEAKER_20
transcript.pyannote[1967].start 10559.03909375
transcript.pyannote[1967].end 10562.26221875
transcript.pyannote[1968].speaker SPEAKER_15
transcript.pyannote[1968].start 10559.64659375
transcript.pyannote[1968].end 10560.47346875
transcript.pyannote[1969].speaker SPEAKER_15
transcript.pyannote[1969].start 10561.18221875
transcript.pyannote[1969].end 10566.34596875
transcript.pyannote[1970].speaker SPEAKER_15
transcript.pyannote[1970].start 10566.80159375
transcript.pyannote[1970].end 10569.77159375
transcript.pyannote[1971].speaker SPEAKER_20
transcript.pyannote[1971].start 10570.71659375
transcript.pyannote[1971].end 10572.43784375
transcript.pyannote[1972].speaker SPEAKER_15
transcript.pyannote[1972].start 10571.49284375
transcript.pyannote[1972].end 10573.87221875
transcript.pyannote[1973].speaker SPEAKER_15
transcript.pyannote[1973].start 10574.02409375
transcript.pyannote[1973].end 10577.01096875
transcript.pyannote[1974].speaker SPEAKER_15
transcript.pyannote[1974].start 10577.63534375
transcript.pyannote[1974].end 10580.03159375
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 10580.65596875
transcript.pyannote[1975].end 10581.85409375
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 10582.36034375
transcript.pyannote[1976].end 10583.62596875
transcript.pyannote[1977].speaker SPEAKER_15
transcript.pyannote[1977].start 10584.13221875
transcript.pyannote[1977].end 10587.11909375
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 10587.55784375
transcript.pyannote[1978].end 10593.04221875
transcript.pyannote[1979].speaker SPEAKER_15
transcript.pyannote[1979].start 10594.15596875
transcript.pyannote[1979].end 10597.53096875
transcript.pyannote[1980].speaker SPEAKER_15
transcript.pyannote[1980].start 10598.44221875
transcript.pyannote[1980].end 10599.13409375
transcript.pyannote[1981].speaker SPEAKER_15
transcript.pyannote[1981].start 10599.42096875
transcript.pyannote[1981].end 10600.68659375
transcript.pyannote[1982].speaker SPEAKER_15
transcript.pyannote[1982].start 10601.32784375
transcript.pyannote[1982].end 10601.95221875
transcript.pyannote[1983].speaker SPEAKER_15
transcript.pyannote[1983].start 10602.32346875
transcript.pyannote[1983].end 10603.13346875
transcript.pyannote[1984].speaker SPEAKER_15
transcript.pyannote[1984].start 10603.69034375
transcript.pyannote[1984].end 10605.42846875
transcript.pyannote[1985].speaker SPEAKER_15
transcript.pyannote[1985].start 10605.79971875
transcript.pyannote[1985].end 10608.80346875
transcript.pyannote[1986].speaker SPEAKER_15
transcript.pyannote[1986].start 10609.52909375
transcript.pyannote[1986].end 10610.23784375
transcript.pyannote[1987].speaker SPEAKER_15
transcript.pyannote[1987].start 10610.69346875
transcript.pyannote[1987].end 10613.71409375
transcript.pyannote[1988].speaker SPEAKER_15
transcript.pyannote[1988].start 10613.96721875
transcript.pyannote[1988].end 10615.89096875
transcript.pyannote[1989].speaker SPEAKER_15
transcript.pyannote[1989].start 10615.92471875
transcript.pyannote[1989].end 10615.95846875
transcript.pyannote[1990].speaker SPEAKER_15
transcript.pyannote[1990].start 10615.97534375
transcript.pyannote[1990].end 10616.24534375
transcript.pyannote[1991].speaker SPEAKER_06
transcript.pyannote[1991].start 10616.24534375
transcript.pyannote[1991].end 10616.71784375
transcript.pyannote[1992].speaker SPEAKER_15
transcript.pyannote[1992].start 10616.71784375
transcript.pyannote[1992].end 10616.97096875
transcript.pyannote[1993].speaker SPEAKER_08
transcript.pyannote[1993].start 10616.78534375
transcript.pyannote[1993].end 10617.27471875
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 10616.97096875
transcript.pyannote[1994].end 10622.94471875
transcript.pyannote[1995].speaker SPEAKER_15
transcript.pyannote[1995].start 10617.42659375
transcript.pyannote[1995].end 10617.56159375
transcript.pyannote[1996].speaker SPEAKER_08
transcript.pyannote[1996].start 10617.56159375
transcript.pyannote[1996].end 10617.57846875
transcript.pyannote[1997].speaker SPEAKER_15
transcript.pyannote[1997].start 10617.57846875
transcript.pyannote[1997].end 10617.59534375
transcript.pyannote[1998].speaker SPEAKER_08
transcript.pyannote[1998].start 10617.59534375
transcript.pyannote[1998].end 10617.74721875
transcript.pyannote[1999].speaker SPEAKER_15
transcript.pyannote[1999].start 10617.74721875
transcript.pyannote[1999].end 10617.76409375
transcript.pyannote[2000].speaker SPEAKER_06
transcript.pyannote[2000].start 10629.50909375
transcript.pyannote[2000].end 10630.90971875
transcript.pyannote[2001].speaker SPEAKER_06
transcript.pyannote[2001].start 10631.41596875
transcript.pyannote[2001].end 10632.64784375
transcript.pyannote[2002].speaker SPEAKER_19
transcript.pyannote[2002].start 10636.34346875
transcript.pyannote[2002].end 10636.36034375
transcript.pyannote[2003].speaker SPEAKER_13
transcript.pyannote[2003].start 10636.36034375
transcript.pyannote[2003].end 10637.77784375
transcript.pyannote[2004].speaker SPEAKER_19
transcript.pyannote[2004].start 10636.41096875
transcript.pyannote[2004].end 10636.98471875
transcript.pyannote[2005].speaker SPEAKER_13
transcript.pyannote[2005].start 10638.01409375
transcript.pyannote[2005].end 10644.20721875
transcript.pyannote[2006].speaker SPEAKER_20
transcript.pyannote[2006].start 10644.56159375
transcript.pyannote[2006].end 10650.88971875
transcript.pyannote[2007].speaker SPEAKER_13
transcript.pyannote[2007].start 10648.74659375
transcript.pyannote[2007].end 10652.39159375
transcript.pyannote[2008].speaker SPEAKER_20
transcript.pyannote[2008].start 10652.07096875
transcript.pyannote[2008].end 10661.21721875
transcript.pyannote[2009].speaker SPEAKER_13
transcript.pyannote[2009].start 10652.59409375
transcript.pyannote[2009].end 10653.33659375
transcript.pyannote[2010].speaker SPEAKER_13
transcript.pyannote[2010].start 10658.83784375
transcript.pyannote[2010].end 10699.13534375
transcript.pyannote[2011].speaker SPEAKER_20
transcript.pyannote[2011].start 10667.00534375
transcript.pyannote[2011].end 10667.39346875
transcript.pyannote[2012].speaker SPEAKER_00
transcript.pyannote[2012].start 10667.39346875
transcript.pyannote[2012].end 10667.51159375
transcript.pyannote[2013].speaker SPEAKER_13
transcript.pyannote[2013].start 10699.45596875
transcript.pyannote[2013].end 10702.62846875
transcript.pyannote[2014].speaker SPEAKER_20
transcript.pyannote[2014].start 10703.03346875
transcript.pyannote[2014].end 10711.85909375
transcript.pyannote[2015].speaker SPEAKER_13
transcript.pyannote[2015].start 10704.97409375
transcript.pyannote[2015].end 10705.41284375
transcript.pyannote[2016].speaker SPEAKER_20
transcript.pyannote[2016].start 10712.04471875
transcript.pyannote[2016].end 10713.78284375
transcript.pyannote[2017].speaker SPEAKER_20
transcript.pyannote[2017].start 10713.85034375
transcript.pyannote[2017].end 10713.86721875
transcript.pyannote[2018].speaker SPEAKER_20
transcript.pyannote[2018].start 10713.88409375
transcript.pyannote[2018].end 10718.45721875
transcript.pyannote[2019].speaker SPEAKER_19
transcript.pyannote[2019].start 10717.76534375
transcript.pyannote[2019].end 10718.25471875
transcript.pyannote[2020].speaker SPEAKER_20
transcript.pyannote[2020].start 10718.49096875
transcript.pyannote[2020].end 10728.63284375
transcript.pyannote[2021].speaker SPEAKER_13
transcript.pyannote[2021].start 10726.97909375
transcript.pyannote[2021].end 10731.55221875
transcript.pyannote[2022].speaker SPEAKER_13
transcript.pyannote[2022].start 10731.88971875
transcript.pyannote[2022].end 10732.51409375
transcript.pyannote[2023].speaker SPEAKER_13
transcript.pyannote[2023].start 10733.03721875
transcript.pyannote[2023].end 10736.80034375
transcript.pyannote[2024].speaker SPEAKER_13
transcript.pyannote[2024].start 10737.34034375
transcript.pyannote[2024].end 10741.25534375
transcript.pyannote[2025].speaker SPEAKER_13
transcript.pyannote[2025].start 10742.16659375
transcript.pyannote[2025].end 10755.73409375
transcript.pyannote[2026].speaker SPEAKER_13
transcript.pyannote[2026].start 10756.49346875
transcript.pyannote[2026].end 10770.29721875
transcript.pyannote[2027].speaker SPEAKER_13
transcript.pyannote[2027].start 10770.53346875
transcript.pyannote[2027].end 10772.62596875
transcript.pyannote[2028].speaker SPEAKER_19
transcript.pyannote[2028].start 10773.13221875
transcript.pyannote[2028].end 10775.27534375
transcript.pyannote[2029].speaker SPEAKER_13
transcript.pyannote[2029].start 10773.53721875
transcript.pyannote[2029].end 10777.58721875
transcript.pyannote[2030].speaker SPEAKER_19
transcript.pyannote[2030].start 10776.25409375
transcript.pyannote[2030].end 10776.47346875
transcript.pyannote[2031].speaker SPEAKER_13
transcript.pyannote[2031].start 10777.84034375
transcript.pyannote[2031].end 10781.36721875
transcript.pyannote[2032].speaker SPEAKER_13
transcript.pyannote[2032].start 10781.89034375
transcript.pyannote[2032].end 10783.37534375
transcript.pyannote[2033].speaker SPEAKER_13
transcript.pyannote[2033].start 10783.96596875
transcript.pyannote[2033].end 10786.88534375
transcript.pyannote[2034].speaker SPEAKER_13
transcript.pyannote[2034].start 10787.37471875
transcript.pyannote[2034].end 10788.31971875
transcript.pyannote[2035].speaker SPEAKER_13
transcript.pyannote[2035].start 10789.04534375
transcript.pyannote[2035].end 10800.13221875
transcript.pyannote[2036].speaker SPEAKER_13
transcript.pyannote[2036].start 10800.89159375
transcript.pyannote[2036].end 10812.29909375
transcript.pyannote[2037].speaker SPEAKER_13
transcript.pyannote[2037].start 10812.82221875
transcript.pyannote[2037].end 10823.67284375
transcript.pyannote[2038].speaker SPEAKER_08
transcript.pyannote[2038].start 10823.67284375
transcript.pyannote[2038].end 10824.68534375
transcript.pyannote[2039].speaker SPEAKER_13
transcript.pyannote[2039].start 10823.95971875
transcript.pyannote[2039].end 10837.03784375
transcript.pyannote[2040].speaker SPEAKER_13
transcript.pyannote[2040].start 10839.01221875
transcript.pyannote[2040].end 10842.26909375
transcript.pyannote[2041].speaker SPEAKER_20
transcript.pyannote[2041].start 10842.96096875
transcript.pyannote[2041].end 10860.86534375
transcript.pyannote[2042].speaker SPEAKER_13
transcript.pyannote[2042].start 10843.55159375
transcript.pyannote[2042].end 10843.95659375
transcript.pyannote[2043].speaker SPEAKER_13
transcript.pyannote[2043].start 10860.20721875
transcript.pyannote[2043].end 10862.29971875
transcript.pyannote[2044].speaker SPEAKER_20
transcript.pyannote[2044].start 10861.35471875
transcript.pyannote[2044].end 10864.29096875
transcript.pyannote[2045].speaker SPEAKER_13
transcript.pyannote[2045].start 10864.24034375
transcript.pyannote[2045].end 10870.51784375
transcript.pyannote[2046].speaker SPEAKER_20
transcript.pyannote[2046].start 10864.45971875
transcript.pyannote[2046].end 10866.16409375
transcript.pyannote[2047].speaker SPEAKER_20
transcript.pyannote[2047].start 10866.95721875
transcript.pyannote[2047].end 10867.32846875
transcript.pyannote[2048].speaker SPEAKER_20
transcript.pyannote[2048].start 10869.42096875
transcript.pyannote[2048].end 10879.32659375
transcript.pyannote[2049].speaker SPEAKER_13
transcript.pyannote[2049].start 10878.31409375
transcript.pyannote[2049].end 10878.73596875
transcript.pyannote[2050].speaker SPEAKER_13
transcript.pyannote[2050].start 10879.27596875
transcript.pyannote[2050].end 10898.78346875
transcript.pyannote[2051].speaker SPEAKER_20
transcript.pyannote[2051].start 10880.23784375
transcript.pyannote[2051].end 10880.59221875
transcript.pyannote[2052].speaker SPEAKER_20
transcript.pyannote[2052].start 10897.04534375
transcript.pyannote[2052].end 10897.80471875
transcript.pyannote[2053].speaker SPEAKER_20
transcript.pyannote[2053].start 10899.12096875
transcript.pyannote[2053].end 10902.10784375
transcript.pyannote[2054].speaker SPEAKER_13
transcript.pyannote[2054].start 10900.67346875
transcript.pyannote[2054].end 10901.01096875
transcript.pyannote[2055].speaker SPEAKER_13
transcript.pyannote[2055].start 10901.33159375
transcript.pyannote[2055].end 10915.62471875
transcript.pyannote[2056].speaker SPEAKER_20
transcript.pyannote[2056].start 10902.32721875
transcript.pyannote[2056].end 10902.78284375
transcript.pyannote[2057].speaker SPEAKER_20
transcript.pyannote[2057].start 10904.52096875
transcript.pyannote[2057].end 10904.80784375
transcript.pyannote[2058].speaker SPEAKER_13
transcript.pyannote[2058].start 10916.16471875
transcript.pyannote[2058].end 10917.05909375
transcript.pyannote[2059].speaker SPEAKER_20
transcript.pyannote[2059].start 10917.85221875
transcript.pyannote[2059].end 10919.59034375
transcript.pyannote[2060].speaker SPEAKER_13
transcript.pyannote[2060].start 10919.42159375
transcript.pyannote[2060].end 10931.57159375
transcript.pyannote[2061].speaker SPEAKER_13
transcript.pyannote[2061].start 10932.09471875
transcript.pyannote[2061].end 10937.25846875
transcript.pyannote[2062].speaker SPEAKER_20
transcript.pyannote[2062].start 10937.32596875
transcript.pyannote[2062].end 10939.30034375
transcript.pyannote[2063].speaker SPEAKER_13
transcript.pyannote[2063].start 10937.91659375
transcript.pyannote[2063].end 10943.83971875
transcript.pyannote[2064].speaker SPEAKER_20
transcript.pyannote[2064].start 10943.78909375
transcript.pyannote[2064].end 10943.82284375
transcript.pyannote[2065].speaker SPEAKER_20
transcript.pyannote[2065].start 10943.83971875
transcript.pyannote[2065].end 10944.24471875
transcript.pyannote[2066].speaker SPEAKER_13
transcript.pyannote[2066].start 10944.22784375
transcript.pyannote[2066].end 10951.21409375
transcript.pyannote[2067].speaker SPEAKER_08
transcript.pyannote[2067].start 10944.24471875
transcript.pyannote[2067].end 10944.29534375
transcript.pyannote[2068].speaker SPEAKER_20
transcript.pyannote[2068].start 10946.48909375
transcript.pyannote[2068].end 10947.07971875
transcript.pyannote[2069].speaker SPEAKER_20
transcript.pyannote[2069].start 10948.48034375
transcript.pyannote[2069].end 10949.17221875
transcript.pyannote[2070].speaker SPEAKER_20
transcript.pyannote[2070].start 10951.43346875
transcript.pyannote[2070].end 10954.04909375
transcript.pyannote[2071].speaker SPEAKER_13
transcript.pyannote[2071].start 10952.44596875
transcript.pyannote[2071].end 10952.83409375
transcript.pyannote[2072].speaker SPEAKER_13
transcript.pyannote[2072].start 10953.96471875
transcript.pyannote[2072].end 10957.42409375
transcript.pyannote[2073].speaker SPEAKER_20
transcript.pyannote[2073].start 10957.66034375
transcript.pyannote[2073].end 10959.34784375
transcript.pyannote[2074].speaker SPEAKER_13
transcript.pyannote[2074].start 10957.74471875
transcript.pyannote[2074].end 10964.52846875
transcript.pyannote[2075].speaker SPEAKER_20
transcript.pyannote[2075].start 10964.15721875
transcript.pyannote[2075].end 10966.73909375
transcript.pyannote[2076].speaker SPEAKER_13
transcript.pyannote[2076].start 10966.73909375
transcript.pyannote[2076].end 10968.00471875
transcript.pyannote[2077].speaker SPEAKER_20
transcript.pyannote[2077].start 10968.00471875
transcript.pyannote[2077].end 10968.62909375
transcript.pyannote[2078].speaker SPEAKER_06
transcript.pyannote[2078].start 10968.62909375
transcript.pyannote[2078].end 10972.47659375
transcript.pyannote[2079].speaker SPEAKER_17
transcript.pyannote[2079].start 10985.35221875
transcript.pyannote[2079].end 10987.79909375
transcript.pyannote[2080].speaker SPEAKER_06
transcript.pyannote[2080].start 10988.15346875
transcript.pyannote[2080].end 10989.36846875
transcript.pyannote[2081].speaker SPEAKER_17
transcript.pyannote[2081].start 10992.57471875
transcript.pyannote[2081].end 10993.23284375
transcript.pyannote[2082].speaker SPEAKER_17
transcript.pyannote[2082].start 10993.73909375
transcript.pyannote[2082].end 11000.97846875
transcript.pyannote[2083].speaker SPEAKER_17
transcript.pyannote[2083].start 11001.18096875
transcript.pyannote[2083].end 11001.73784375
transcript.pyannote[2084].speaker SPEAKER_17
transcript.pyannote[2084].start 11001.85596875
transcript.pyannote[2084].end 11010.61409375
transcript.pyannote[2085].speaker SPEAKER_17
transcript.pyannote[2085].start 11011.27221875
transcript.pyannote[2085].end 11014.25909375
transcript.pyannote[2086].speaker SPEAKER_17
transcript.pyannote[2086].start 11014.44471875
transcript.pyannote[2086].end 11015.40659375
transcript.pyannote[2087].speaker SPEAKER_17
transcript.pyannote[2087].start 11015.89596875
transcript.pyannote[2087].end 11018.64659375
transcript.pyannote[2088].speaker SPEAKER_17
transcript.pyannote[2088].start 11019.33846875
transcript.pyannote[2088].end 11022.32534375
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 11022.96659375
transcript.pyannote[2089].end 11024.75534375
transcript.pyannote[2090].speaker SPEAKER_17
transcript.pyannote[2090].start 11025.16034375
transcript.pyannote[2090].end 11026.07159375
transcript.pyannote[2091].speaker SPEAKER_17
transcript.pyannote[2091].start 11026.72971875
transcript.pyannote[2091].end 11028.16409375
transcript.pyannote[2092].speaker SPEAKER_17
transcript.pyannote[2092].start 11028.67034375
transcript.pyannote[2092].end 11030.34096875
transcript.pyannote[2093].speaker SPEAKER_17
transcript.pyannote[2093].start 11030.88096875
transcript.pyannote[2093].end 11034.50909375
transcript.pyannote[2094].speaker SPEAKER_17
transcript.pyannote[2094].start 11034.81284375
transcript.pyannote[2094].end 11038.05284375
transcript.pyannote[2095].speaker SPEAKER_17
transcript.pyannote[2095].start 11038.69409375
transcript.pyannote[2095].end 11040.16221875
transcript.pyannote[2096].speaker SPEAKER_17
transcript.pyannote[2096].start 11040.71909375
transcript.pyannote[2096].end 11045.95034375
transcript.pyannote[2097].speaker SPEAKER_17
transcript.pyannote[2097].start 11046.16971875
transcript.pyannote[2097].end 11047.46909375
transcript.pyannote[2098].speaker SPEAKER_17
transcript.pyannote[2098].start 11048.05971875
transcript.pyannote[2098].end 11049.78096875
transcript.pyannote[2099].speaker SPEAKER_17
transcript.pyannote[2099].start 11051.04659375
transcript.pyannote[2099].end 11053.24034375
transcript.pyannote[2100].speaker SPEAKER_17
transcript.pyannote[2100].start 11053.57784375
transcript.pyannote[2100].end 11054.26971875
transcript.pyannote[2101].speaker SPEAKER_20
transcript.pyannote[2101].start 11055.46784375
transcript.pyannote[2101].end 11071.07721875
transcript.pyannote[2102].speaker SPEAKER_17
transcript.pyannote[2102].start 11068.95096875
transcript.pyannote[2102].end 11069.87909375
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 11070.33471875
transcript.pyannote[2103].end 11075.97096875
transcript.pyannote[2104].speaker SPEAKER_17
transcript.pyannote[2104].start 11076.20721875
transcript.pyannote[2104].end 11079.76784375
transcript.pyannote[2105].speaker SPEAKER_17
transcript.pyannote[2105].start 11080.27409375
transcript.pyannote[2105].end 11084.35784375
transcript.pyannote[2106].speaker SPEAKER_17
transcript.pyannote[2106].start 11084.86409375
transcript.pyannote[2106].end 11085.28596875
transcript.pyannote[2107].speaker SPEAKER_17
transcript.pyannote[2107].start 11085.77534375
transcript.pyannote[2107].end 11091.68159375
transcript.pyannote[2108].speaker SPEAKER_17
transcript.pyannote[2108].start 11092.57596875
transcript.pyannote[2108].end 11095.74846875
transcript.pyannote[2109].speaker SPEAKER_17
transcript.pyannote[2109].start 11096.33909375
transcript.pyannote[2109].end 11099.44409375
transcript.pyannote[2110].speaker SPEAKER_17
transcript.pyannote[2110].start 11100.08534375
transcript.pyannote[2110].end 11100.70971875
transcript.pyannote[2111].speaker SPEAKER_17
transcript.pyannote[2111].start 11101.06409375
transcript.pyannote[2111].end 11101.62096875
transcript.pyannote[2112].speaker SPEAKER_17
transcript.pyannote[2112].start 11102.81909375
transcript.pyannote[2112].end 11103.96659375
transcript.pyannote[2113].speaker SPEAKER_09
transcript.pyannote[2113].start 11104.23659375
transcript.pyannote[2113].end 11104.65846875
transcript.pyannote[2114].speaker SPEAKER_17
transcript.pyannote[2114].start 11104.65846875
transcript.pyannote[2114].end 11110.80096875
transcript.pyannote[2115].speaker SPEAKER_17
transcript.pyannote[2115].start 11111.05409375
transcript.pyannote[2115].end 11114.12534375
transcript.pyannote[2116].speaker SPEAKER_17
transcript.pyannote[2116].start 11114.83409375
transcript.pyannote[2116].end 11115.47534375
transcript.pyannote[2117].speaker SPEAKER_17
transcript.pyannote[2117].start 11115.81284375
transcript.pyannote[2117].end 11118.14159375
transcript.pyannote[2118].speaker SPEAKER_17
transcript.pyannote[2118].start 11118.34409375
transcript.pyannote[2118].end 11123.42346875
transcript.pyannote[2119].speaker SPEAKER_17
transcript.pyannote[2119].start 11124.04784375
transcript.pyannote[2119].end 11125.97159375
transcript.pyannote[2120].speaker SPEAKER_20
transcript.pyannote[2120].start 11124.57096875
transcript.pyannote[2120].end 11125.16159375
transcript.pyannote[2121].speaker SPEAKER_20
transcript.pyannote[2121].start 11125.97159375
transcript.pyannote[2121].end 11137.46346875
transcript.pyannote[2122].speaker SPEAKER_17
transcript.pyannote[2122].start 11136.46784375
transcript.pyannote[2122].end 11144.26409375
transcript.pyannote[2123].speaker SPEAKER_17
transcript.pyannote[2123].start 11145.34409375
transcript.pyannote[2123].end 11169.91409375
transcript.pyannote[2124].speaker SPEAKER_17
transcript.pyannote[2124].start 11170.85909375
transcript.pyannote[2124].end 11171.46659375
transcript.pyannote[2125].speaker SPEAKER_17
transcript.pyannote[2125].start 11171.68596875
transcript.pyannote[2125].end 11172.68159375
transcript.pyannote[2126].speaker SPEAKER_17
transcript.pyannote[2126].start 11173.15409375
transcript.pyannote[2126].end 11173.99784375
transcript.pyannote[2127].speaker SPEAKER_17
transcript.pyannote[2127].start 11175.02721875
transcript.pyannote[2127].end 11182.31721875
transcript.pyannote[2128].speaker SPEAKER_17
transcript.pyannote[2128].start 11183.31284375
transcript.pyannote[2128].end 11183.97096875
transcript.pyannote[2129].speaker SPEAKER_20
transcript.pyannote[2129].start 11183.97096875
transcript.pyannote[2129].end 11184.12284375
transcript.pyannote[2130].speaker SPEAKER_20
transcript.pyannote[2130].start 11184.78096875
transcript.pyannote[2130].end 11193.01596875
transcript.pyannote[2131].speaker SPEAKER_17
transcript.pyannote[2131].start 11192.23971875
transcript.pyannote[2131].end 11196.77909375
transcript.pyannote[2132].speaker SPEAKER_17
transcript.pyannote[2132].start 11197.53846875
transcript.pyannote[2132].end 11198.28096875
transcript.pyannote[2133].speaker SPEAKER_17
transcript.pyannote[2133].start 11198.51721875
transcript.pyannote[2133].end 11202.85409375
transcript.pyannote[2134].speaker SPEAKER_17
transcript.pyannote[2134].start 11203.64721875
transcript.pyannote[2134].end 11204.06909375
transcript.pyannote[2135].speaker SPEAKER_20
transcript.pyannote[2135].start 11204.99721875
transcript.pyannote[2135].end 11205.03096875
transcript.pyannote[2136].speaker SPEAKER_17
transcript.pyannote[2136].start 11205.03096875
transcript.pyannote[2136].end 11206.90409375
transcript.pyannote[2137].speaker SPEAKER_20
transcript.pyannote[2137].start 11205.28409375
transcript.pyannote[2137].end 11205.75659375
transcript.pyannote[2138].speaker SPEAKER_20
transcript.pyannote[2138].start 11207.15721875
transcript.pyannote[2138].end 11212.65846875
transcript.pyannote[2139].speaker SPEAKER_17
transcript.pyannote[2139].start 11211.12284375
transcript.pyannote[2139].end 11212.10159375
transcript.pyannote[2140].speaker SPEAKER_17
transcript.pyannote[2140].start 11212.65846875
transcript.pyannote[2140].end 11217.94034375
transcript.pyannote[2141].speaker SPEAKER_20
transcript.pyannote[2141].start 11212.70909375
transcript.pyannote[2141].end 11212.79346875
transcript.pyannote[2142].speaker SPEAKER_17
transcript.pyannote[2142].start 11218.37909375
transcript.pyannote[2142].end 11219.05409375
transcript.pyannote[2143].speaker SPEAKER_17
transcript.pyannote[2143].start 11219.27346875
transcript.pyannote[2143].end 11219.35784375
transcript.pyannote[2144].speaker SPEAKER_19
transcript.pyannote[2144].start 11219.35784375
transcript.pyannote[2144].end 11219.50971875
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 11219.50971875
transcript.pyannote[2145].end 11219.66159375
transcript.pyannote[2146].speaker SPEAKER_17
transcript.pyannote[2146].start 11220.62346875
transcript.pyannote[2146].end 11224.74096875
transcript.pyannote[2147].speaker SPEAKER_17
transcript.pyannote[2147].start 11224.97721875
transcript.pyannote[2147].end 11231.30534375
transcript.pyannote[2148].speaker SPEAKER_17
transcript.pyannote[2148].start 11232.06471875
transcript.pyannote[2148].end 11232.68909375
transcript.pyannote[2149].speaker SPEAKER_20
transcript.pyannote[2149].start 11233.19534375
transcript.pyannote[2149].end 11233.95471875
transcript.pyannote[2150].speaker SPEAKER_17
transcript.pyannote[2150].start 11233.95471875
transcript.pyannote[2150].end 11245.44659375
transcript.pyannote[2151].speaker SPEAKER_20
transcript.pyannote[2151].start 11236.72221875
transcript.pyannote[2151].end 11237.58284375
transcript.pyannote[2152].speaker SPEAKER_17
transcript.pyannote[2152].start 11246.29034375
transcript.pyannote[2152].end 11247.65721875
transcript.pyannote[2153].speaker SPEAKER_17
transcript.pyannote[2153].start 11247.89346875
transcript.pyannote[2153].end 11252.51721875
transcript.pyannote[2154].speaker SPEAKER_17
transcript.pyannote[2154].start 11253.12471875
transcript.pyannote[2154].end 11253.58034375
transcript.pyannote[2155].speaker SPEAKER_20
transcript.pyannote[2155].start 11254.42409375
transcript.pyannote[2155].end 11254.44096875
transcript.pyannote[2156].speaker SPEAKER_17
transcript.pyannote[2156].start 11254.44096875
transcript.pyannote[2156].end 11254.45784375
transcript.pyannote[2157].speaker SPEAKER_20
transcript.pyannote[2157].start 11254.45784375
transcript.pyannote[2157].end 11254.55909375
transcript.pyannote[2158].speaker SPEAKER_17
transcript.pyannote[2158].start 11254.55909375
transcript.pyannote[2158].end 11256.14534375
transcript.pyannote[2159].speaker SPEAKER_20
transcript.pyannote[2159].start 11255.23409375
transcript.pyannote[2159].end 11260.63409375
transcript.pyannote[2160].speaker SPEAKER_17
transcript.pyannote[2160].start 11257.90034375
transcript.pyannote[2160].end 11260.65096875
transcript.pyannote[2161].speaker SPEAKER_17
transcript.pyannote[2161].start 11260.98846875
transcript.pyannote[2161].end 11262.40596875
transcript.pyannote[2162].speaker SPEAKER_20
transcript.pyannote[2162].start 11261.00534375
transcript.pyannote[2162].end 11262.03471875
transcript.pyannote[2163].speaker SPEAKER_17
transcript.pyannote[2163].start 11263.99221875
transcript.pyannote[2163].end 11268.81846875
transcript.pyannote[2164].speaker SPEAKER_17
transcript.pyannote[2164].start 11269.67909375
transcript.pyannote[2164].end 11270.13471875
transcript.pyannote[2165].speaker SPEAKER_17
transcript.pyannote[2165].start 11272.54784375
transcript.pyannote[2165].end 11273.32409375
transcript.pyannote[2166].speaker SPEAKER_17
transcript.pyannote[2166].start 11274.80909375
transcript.pyannote[2166].end 11275.51784375
transcript.pyannote[2167].speaker SPEAKER_17
transcript.pyannote[2167].start 11276.88471875
transcript.pyannote[2167].end 11277.98159375
transcript.pyannote[2168].speaker SPEAKER_17
transcript.pyannote[2168].start 11278.55534375
transcript.pyannote[2168].end 11280.58034375
transcript.pyannote[2169].speaker SPEAKER_17
transcript.pyannote[2169].start 11281.40721875
transcript.pyannote[2169].end 11284.47846875
transcript.pyannote[2170].speaker SPEAKER_17
transcript.pyannote[2170].start 11286.48659375
transcript.pyannote[2170].end 11287.34721875
transcript.pyannote[2171].speaker SPEAKER_17
transcript.pyannote[2171].start 11287.71846875
transcript.pyannote[2171].end 11288.24159375
transcript.pyannote[2172].speaker SPEAKER_17
transcript.pyannote[2172].start 11289.50721875
transcript.pyannote[2172].end 11291.04284375
transcript.pyannote[2173].speaker SPEAKER_17
transcript.pyannote[2173].start 11291.65034375
transcript.pyannote[2173].end 11292.13971875
transcript.pyannote[2174].speaker SPEAKER_17
transcript.pyannote[2174].start 11292.98346875
transcript.pyannote[2174].end 11296.03784375
transcript.pyannote[2175].speaker SPEAKER_17
transcript.pyannote[2175].start 11296.96596875
transcript.pyannote[2175].end 11298.73784375
transcript.pyannote[2176].speaker SPEAKER_17
transcript.pyannote[2176].start 11299.96971875
transcript.pyannote[2176].end 11301.37034375
transcript.pyannote[2177].speaker SPEAKER_17
transcript.pyannote[2177].start 11301.53909375
transcript.pyannote[2177].end 11303.15909375
transcript.pyannote[2178].speaker SPEAKER_17
transcript.pyannote[2178].start 11303.59784375
transcript.pyannote[2178].end 11305.97721875
transcript.pyannote[2179].speaker SPEAKER_17
transcript.pyannote[2179].start 11306.95596875
transcript.pyannote[2179].end 11313.62159375
transcript.pyannote[2180].speaker SPEAKER_17
transcript.pyannote[2180].start 11314.26284375
transcript.pyannote[2180].end 11316.72659375
transcript.pyannote[2181].speaker SPEAKER_17
transcript.pyannote[2181].start 11317.62096875
transcript.pyannote[2181].end 11322.86909375
transcript.pyannote[2182].speaker SPEAKER_17
transcript.pyannote[2182].start 11323.40909375
transcript.pyannote[2182].end 11324.26971875
transcript.pyannote[2183].speaker SPEAKER_17
transcript.pyannote[2183].start 11324.43846875
transcript.pyannote[2183].end 11325.92346875
transcript.pyannote[2184].speaker SPEAKER_17
transcript.pyannote[2184].start 11327.02034375
transcript.pyannote[2184].end 11327.91471875
transcript.pyannote[2185].speaker SPEAKER_17
transcript.pyannote[2185].start 11329.63596875
transcript.pyannote[2185].end 11330.12534375
transcript.pyannote[2186].speaker SPEAKER_17
transcript.pyannote[2186].start 11330.56409375
transcript.pyannote[2186].end 11331.62721875
transcript.pyannote[2187].speaker SPEAKER_17
transcript.pyannote[2187].start 11332.09971875
transcript.pyannote[2187].end 11334.96846875
transcript.pyannote[2188].speaker SPEAKER_17
transcript.pyannote[2188].start 11335.71096875
transcript.pyannote[2188].end 11336.11596875
transcript.pyannote[2189].speaker SPEAKER_17
transcript.pyannote[2189].start 11338.44471875
transcript.pyannote[2189].end 11340.85784375
transcript.pyannote[2190].speaker SPEAKER_17
transcript.pyannote[2190].start 11341.88721875
transcript.pyannote[2190].end 11342.30909375
transcript.pyannote[2191].speaker SPEAKER_17
transcript.pyannote[2191].start 11345.21159375
transcript.pyannote[2191].end 11345.70096875
transcript.pyannote[2192].speaker SPEAKER_06
transcript.pyannote[2192].start 11345.70096875
transcript.pyannote[2192].end 11348.78909375
transcript.pyannote[2193].speaker SPEAKER_17
transcript.pyannote[2193].start 11346.13971875
transcript.pyannote[2193].end 11350.54409375
transcript.pyannote[2194].speaker SPEAKER_06
transcript.pyannote[2194].start 11349.43034375
transcript.pyannote[2194].end 11354.02034375
transcript.pyannote[2195].speaker SPEAKER_17
transcript.pyannote[2195].start 11351.28659375
transcript.pyannote[2195].end 11352.75471875
transcript.pyannote[2196].speaker SPEAKER_17
transcript.pyannote[2196].start 11353.19346875
transcript.pyannote[2196].end 11355.30284375
transcript.pyannote[2197].speaker SPEAKER_17
transcript.pyannote[2197].start 11355.91034375
transcript.pyannote[2197].end 11358.13784375
transcript.pyannote[2198].speaker SPEAKER_17
transcript.pyannote[2198].start 11359.30221875
transcript.pyannote[2198].end 11360.58471875
transcript.pyannote[2199].speaker SPEAKER_17
transcript.pyannote[2199].start 11361.83346875
transcript.pyannote[2199].end 11364.26346875
transcript.pyannote[2200].speaker SPEAKER_06
transcript.pyannote[2200].start 11364.68534375
transcript.pyannote[2200].end 11364.93846875
transcript.pyannote[2201].speaker SPEAKER_17
transcript.pyannote[2201].start 11364.93846875
transcript.pyannote[2201].end 11366.99721875
transcript.pyannote[2202].speaker SPEAKER_06
transcript.pyannote[2202].start 11366.01846875
transcript.pyannote[2202].end 11366.10284375
transcript.pyannote[2203].speaker SPEAKER_06
transcript.pyannote[2203].start 11366.74409375
transcript.pyannote[2203].end 11368.90409375
transcript.pyannote[2204].speaker SPEAKER_17
transcript.pyannote[2204].start 11368.41471875
transcript.pyannote[2204].end 11371.13159375
transcript.pyannote[2205].speaker SPEAKER_06
transcript.pyannote[2205].start 11371.58721875
transcript.pyannote[2205].end 11373.52784375
transcript.pyannote[2206].speaker SPEAKER_17
transcript.pyannote[2206].start 11372.14409375
transcript.pyannote[2206].end 11372.19471875
transcript.pyannote[2207].speaker SPEAKER_20
transcript.pyannote[2207].start 11372.19471875
transcript.pyannote[2207].end 11373.35909375
transcript.pyannote[2208].speaker SPEAKER_17
transcript.pyannote[2208].start 11373.35909375
transcript.pyannote[2208].end 11374.38846875
transcript.pyannote[2209].speaker SPEAKER_20
transcript.pyannote[2209].start 11373.52784375
transcript.pyannote[2209].end 11373.78096875
transcript.pyannote[2210].speaker SPEAKER_06
transcript.pyannote[2210].start 11373.78096875
transcript.pyannote[2210].end 11373.83159375
transcript.pyannote[2211].speaker SPEAKER_20
transcript.pyannote[2211].start 11373.83159375
transcript.pyannote[2211].end 11388.02346875
transcript.pyannote[2212].speaker SPEAKER_17
transcript.pyannote[2212].start 11388.02346875
transcript.pyannote[2212].end 11390.45346875
transcript.pyannote[2213].speaker SPEAKER_17
transcript.pyannote[2213].start 11390.52096875
transcript.pyannote[2213].end 11394.36846875
transcript.pyannote[2214].speaker SPEAKER_17
transcript.pyannote[2214].start 11395.00971875
transcript.pyannote[2214].end 11399.92034375
transcript.pyannote[2215].speaker SPEAKER_06
transcript.pyannote[2215].start 11403.27846875
transcript.pyannote[2215].end 11408.08784375
transcript.pyannote[2216].speaker SPEAKER_14
transcript.pyannote[2216].start 11419.83284375
transcript.pyannote[2216].end 11421.87471875
transcript.pyannote[2217].speaker SPEAKER_14
transcript.pyannote[2217].start 11422.51596875
transcript.pyannote[2217].end 11422.63409375
transcript.pyannote[2218].speaker SPEAKER_06
transcript.pyannote[2218].start 11422.63409375
transcript.pyannote[2218].end 11423.68034375
transcript.pyannote[2219].speaker SPEAKER_06
transcript.pyannote[2219].start 11423.84909375
transcript.pyannote[2219].end 11423.86596875
transcript.pyannote[2220].speaker SPEAKER_09
transcript.pyannote[2220].start 11423.86596875
transcript.pyannote[2220].end 11423.93346875
transcript.pyannote[2221].speaker SPEAKER_14
transcript.pyannote[2221].start 11425.67159375
transcript.pyannote[2221].end 11426.00909375
transcript.pyannote[2222].speaker SPEAKER_06
transcript.pyannote[2222].start 11426.00909375
transcript.pyannote[2222].end 11426.46471875
transcript.pyannote[2223].speaker SPEAKER_14
transcript.pyannote[2223].start 11426.46471875
transcript.pyannote[2223].end 11426.56596875
transcript.pyannote[2224].speaker SPEAKER_06
transcript.pyannote[2224].start 11426.56596875
transcript.pyannote[2224].end 11426.63346875
transcript.pyannote[2225].speaker SPEAKER_14
transcript.pyannote[2225].start 11426.63346875
transcript.pyannote[2225].end 11426.66721875
transcript.pyannote[2226].speaker SPEAKER_06
transcript.pyannote[2226].start 11426.66721875
transcript.pyannote[2226].end 11426.68409375
transcript.pyannote[2227].speaker SPEAKER_14
transcript.pyannote[2227].start 11426.68409375
transcript.pyannote[2227].end 11426.70096875
transcript.pyannote[2228].speaker SPEAKER_06
transcript.pyannote[2228].start 11426.70096875
transcript.pyannote[2228].end 11426.80221875
transcript.pyannote[2229].speaker SPEAKER_14
transcript.pyannote[2229].start 11426.80221875
transcript.pyannote[2229].end 11426.98784375
transcript.pyannote[2230].speaker SPEAKER_06
transcript.pyannote[2230].start 11426.98784375
transcript.pyannote[2230].end 11427.10596875
transcript.pyannote[2231].speaker SPEAKER_06
transcript.pyannote[2231].start 11428.38846875
transcript.pyannote[2231].end 11429.87346875
transcript.pyannote[2232].speaker SPEAKER_11
transcript.pyannote[2232].start 11434.10909375
transcript.pyannote[2232].end 11434.95284375
transcript.pyannote[2233].speaker SPEAKER_11
transcript.pyannote[2233].start 11434.96971875
transcript.pyannote[2233].end 11434.98659375
transcript.pyannote[2234].speaker SPEAKER_14
transcript.pyannote[2234].start 11436.52221875
transcript.pyannote[2234].end 11440.16721875
transcript.pyannote[2235].speaker SPEAKER_11
transcript.pyannote[2235].start 11439.88034375
transcript.pyannote[2235].end 11440.45409375
transcript.pyannote[2236].speaker SPEAKER_14
transcript.pyannote[2236].start 11440.45409375
transcript.pyannote[2236].end 11440.50471875
transcript.pyannote[2237].speaker SPEAKER_14
transcript.pyannote[2237].start 11440.67346875
transcript.pyannote[2237].end 11444.47034375
transcript.pyannote[2238].speaker SPEAKER_14
transcript.pyannote[2238].start 11445.29721875
transcript.pyannote[2238].end 11446.78221875
transcript.pyannote[2239].speaker SPEAKER_14
transcript.pyannote[2239].start 11447.79471875
transcript.pyannote[2239].end 11450.98409375
transcript.pyannote[2240].speaker SPEAKER_14
transcript.pyannote[2240].start 11451.62534375
transcript.pyannote[2240].end 11453.07659375
transcript.pyannote[2241].speaker SPEAKER_14
transcript.pyannote[2241].start 11454.00471875
transcript.pyannote[2241].end 11456.08034375
transcript.pyannote[2242].speaker SPEAKER_14
transcript.pyannote[2242].start 11456.51909375
transcript.pyannote[2242].end 11457.58221875
transcript.pyannote[2243].speaker SPEAKER_14
transcript.pyannote[2243].start 11458.72971875
transcript.pyannote[2243].end 11463.18471875
transcript.pyannote[2244].speaker SPEAKER_14
transcript.pyannote[2244].start 11464.72034375
transcript.pyannote[2244].end 11465.61471875
transcript.pyannote[2245].speaker SPEAKER_14
transcript.pyannote[2245].start 11466.42471875
transcript.pyannote[2245].end 11468.50034375
transcript.pyannote[2246].speaker SPEAKER_14
transcript.pyannote[2246].start 11469.14159375
transcript.pyannote[2246].end 11474.60909375
transcript.pyannote[2247].speaker SPEAKER_14
transcript.pyannote[2247].start 11475.06471875
transcript.pyannote[2247].end 11476.19534375
transcript.pyannote[2248].speaker SPEAKER_09
transcript.pyannote[2248].start 11475.75659375
transcript.pyannote[2248].end 11476.17846875
transcript.pyannote[2249].speaker SPEAKER_09
transcript.pyannote[2249].start 11476.19534375
transcript.pyannote[2249].end 11476.61721875
transcript.pyannote[2250].speaker SPEAKER_14
transcript.pyannote[2250].start 11477.68034375
transcript.pyannote[2250].end 11479.45221875
transcript.pyannote[2251].speaker SPEAKER_14
transcript.pyannote[2251].start 11479.78971875
transcript.pyannote[2251].end 11481.89909375
transcript.pyannote[2252].speaker SPEAKER_14
transcript.pyannote[2252].start 11482.67534375
transcript.pyannote[2252].end 11486.06721875
transcript.pyannote[2253].speaker SPEAKER_14
transcript.pyannote[2253].start 11486.65784375
transcript.pyannote[2253].end 11488.96971875
transcript.pyannote[2254].speaker SPEAKER_14
transcript.pyannote[2254].start 11490.91034375
transcript.pyannote[2254].end 11494.20096875
transcript.pyannote[2255].speaker SPEAKER_14
transcript.pyannote[2255].start 11495.87159375
transcript.pyannote[2255].end 11497.10346875
transcript.pyannote[2256].speaker SPEAKER_14
transcript.pyannote[2256].start 11498.45346875
transcript.pyannote[2256].end 11500.98471875
transcript.pyannote[2257].speaker SPEAKER_14
transcript.pyannote[2257].start 11504.08971875
transcript.pyannote[2257].end 11504.73096875
transcript.pyannote[2258].speaker SPEAKER_14
transcript.pyannote[2258].start 11505.52409375
transcript.pyannote[2258].end 11506.62096875
transcript.pyannote[2259].speaker SPEAKER_14
transcript.pyannote[2259].start 11508.64596875
transcript.pyannote[2259].end 11511.97034375
transcript.pyannote[2260].speaker SPEAKER_14
transcript.pyannote[2260].start 11512.69596875
transcript.pyannote[2260].end 11513.40471875
transcript.pyannote[2261].speaker SPEAKER_14
transcript.pyannote[2261].start 11516.77971875
transcript.pyannote[2261].end 11521.25159375
transcript.pyannote[2262].speaker SPEAKER_14
transcript.pyannote[2262].start 11524.59284375
transcript.pyannote[2262].end 11525.82471875
transcript.pyannote[2263].speaker SPEAKER_14
transcript.pyannote[2263].start 11529.43596875
transcript.pyannote[2263].end 11535.81471875
transcript.pyannote[2264].speaker SPEAKER_14
transcript.pyannote[2264].start 11537.01284375
transcript.pyannote[2264].end 11537.70471875
transcript.pyannote[2265].speaker SPEAKER_14
transcript.pyannote[2265].start 11539.15596875
transcript.pyannote[2265].end 11543.23971875
transcript.pyannote[2266].speaker SPEAKER_14
transcript.pyannote[2266].start 11547.79596875
transcript.pyannote[2266].end 11548.77471875
transcript.pyannote[2267].speaker SPEAKER_14
transcript.pyannote[2267].start 11550.29346875
transcript.pyannote[2267].end 11551.52534375
transcript.pyannote[2268].speaker SPEAKER_14
transcript.pyannote[2268].start 11552.21721875
transcript.pyannote[2268].end 11553.70221875
transcript.pyannote[2269].speaker SPEAKER_14
transcript.pyannote[2269].start 11554.84971875
transcript.pyannote[2269].end 11556.75659375
transcript.pyannote[2270].speaker SPEAKER_14
transcript.pyannote[2270].start 11558.22471875
transcript.pyannote[2270].end 11561.00909375
transcript.pyannote[2271].speaker SPEAKER_14
transcript.pyannote[2271].start 11562.69659375
transcript.pyannote[2271].end 11567.89409375
transcript.pyannote[2272].speaker SPEAKER_14
transcript.pyannote[2272].start 11570.13846875
transcript.pyannote[2272].end 11570.98221875
transcript.pyannote[2273].speaker SPEAKER_14
transcript.pyannote[2273].start 11572.06221875
transcript.pyannote[2273].end 11573.04096875
transcript.pyannote[2274].speaker SPEAKER_14
transcript.pyannote[2274].start 11574.44159375
transcript.pyannote[2274].end 11575.38659375
transcript.pyannote[2275].speaker SPEAKER_14
transcript.pyannote[2275].start 11576.82096875
transcript.pyannote[2275].end 11578.57596875
transcript.pyannote[2276].speaker SPEAKER_14
transcript.pyannote[2276].start 11579.92596875
transcript.pyannote[2276].end 11581.46159375
transcript.pyannote[2277].speaker SPEAKER_14
transcript.pyannote[2277].start 11583.43596875
transcript.pyannote[2277].end 11584.97159375
transcript.pyannote[2278].speaker SPEAKER_14
transcript.pyannote[2278].start 11585.98409375
transcript.pyannote[2278].end 11587.45221875
transcript.pyannote[2279].speaker SPEAKER_14
transcript.pyannote[2279].start 11588.76846875
transcript.pyannote[2279].end 11589.81471875
transcript.pyannote[2280].speaker SPEAKER_14
transcript.pyannote[2280].start 11592.66659375
transcript.pyannote[2280].end 11594.26971875
transcript.pyannote[2281].speaker SPEAKER_14
transcript.pyannote[2281].start 11595.29909375
transcript.pyannote[2281].end 11596.39596875
transcript.pyannote[2282].speaker SPEAKER_14
transcript.pyannote[2282].start 11596.63221875
transcript.pyannote[2282].end 11597.64471875
transcript.pyannote[2283].speaker SPEAKER_14
transcript.pyannote[2283].start 11599.16346875
transcript.pyannote[2283].end 11602.21784375
transcript.pyannote[2284].speaker SPEAKER_14
transcript.pyannote[2284].start 11604.78284375
transcript.pyannote[2284].end 11607.82034375
transcript.pyannote[2285].speaker SPEAKER_14
transcript.pyannote[2285].start 11609.55846875
transcript.pyannote[2285].end 11610.28409375
transcript.pyannote[2286].speaker SPEAKER_14
transcript.pyannote[2286].start 11611.12784375
transcript.pyannote[2286].end 11611.83659375
transcript.pyannote[2287].speaker SPEAKER_14
transcript.pyannote[2287].start 11612.24159375
transcript.pyannote[2287].end 11613.32159375
transcript.pyannote[2288].speaker SPEAKER_14
transcript.pyannote[2288].start 11614.28346875
transcript.pyannote[2288].end 11615.71784375
transcript.pyannote[2289].speaker SPEAKER_14
transcript.pyannote[2289].start 11616.46034375
transcript.pyannote[2289].end 11618.23221875
transcript.pyannote[2290].speaker SPEAKER_14
transcript.pyannote[2290].start 11619.17721875
transcript.pyannote[2290].end 11620.42596875
transcript.pyannote[2291].speaker SPEAKER_14
transcript.pyannote[2291].start 11621.01659375
transcript.pyannote[2291].end 11623.21034375
transcript.pyannote[2292].speaker SPEAKER_14
transcript.pyannote[2292].start 11623.73346875
transcript.pyannote[2292].end 11625.08346875
transcript.pyannote[2293].speaker SPEAKER_14
transcript.pyannote[2293].start 11627.64846875
transcript.pyannote[2293].end 11629.03221875
transcript.pyannote[2294].speaker SPEAKER_14
transcript.pyannote[2294].start 11629.48784375
transcript.pyannote[2294].end 11630.97284375
transcript.pyannote[2295].speaker SPEAKER_14
transcript.pyannote[2295].start 11631.69846875
transcript.pyannote[2295].end 11633.43659375
transcript.pyannote[2296].speaker SPEAKER_14
transcript.pyannote[2296].start 11634.12846875
transcript.pyannote[2296].end 11635.59659375
transcript.pyannote[2297].speaker SPEAKER_14
transcript.pyannote[2297].start 11636.18721875
transcript.pyannote[2297].end 11637.85784375
transcript.pyannote[2298].speaker SPEAKER_14
transcript.pyannote[2298].start 11639.39346875
transcript.pyannote[2298].end 11641.16534375
transcript.pyannote[2299].speaker SPEAKER_14
transcript.pyannote[2299].start 11641.24971875
transcript.pyannote[2299].end 11642.73471875
transcript.pyannote[2300].speaker SPEAKER_14
transcript.pyannote[2300].start 11644.33784375
transcript.pyannote[2300].end 11645.21534375
transcript.pyannote[2301].speaker SPEAKER_14
transcript.pyannote[2301].start 11646.27846875
transcript.pyannote[2301].end 11647.05471875
transcript.pyannote[2302].speaker SPEAKER_14
transcript.pyannote[2302].start 11649.83909375
transcript.pyannote[2302].end 11650.69971875
transcript.pyannote[2303].speaker SPEAKER_14
transcript.pyannote[2303].start 11652.13409375
transcript.pyannote[2303].end 11653.06221875
transcript.pyannote[2304].speaker SPEAKER_14
transcript.pyannote[2304].start 11654.20971875
transcript.pyannote[2304].end 11655.55971875
transcript.pyannote[2305].speaker SPEAKER_14
transcript.pyannote[2305].start 11656.63971875
transcript.pyannote[2305].end 11657.75346875
transcript.pyannote[2306].speaker SPEAKER_14
transcript.pyannote[2306].start 11659.33971875
transcript.pyannote[2306].end 11659.89659375
transcript.pyannote[2307].speaker SPEAKER_14
transcript.pyannote[2307].start 11660.70659375
transcript.pyannote[2307].end 11662.56284375
transcript.pyannote[2308].speaker SPEAKER_14
transcript.pyannote[2308].start 11663.11971875
transcript.pyannote[2308].end 11663.91284375
transcript.pyannote[2309].speaker SPEAKER_14
transcript.pyannote[2309].start 11665.49909375
transcript.pyannote[2309].end 11666.61284375
transcript.pyannote[2310].speaker SPEAKER_14
transcript.pyannote[2310].start 11667.81096875
transcript.pyannote[2310].end 11668.77284375
transcript.pyannote[2311].speaker SPEAKER_14
transcript.pyannote[2311].start 11669.71784375
transcript.pyannote[2311].end 11674.39221875
transcript.pyannote[2312].speaker SPEAKER_14
transcript.pyannote[2312].start 11676.14721875
transcript.pyannote[2312].end 11678.34096875
transcript.pyannote[2313].speaker SPEAKER_14
transcript.pyannote[2313].start 11680.48409375
transcript.pyannote[2313].end 11681.17596875
transcript.pyannote[2314].speaker SPEAKER_14
transcript.pyannote[2314].start 11681.69909375
transcript.pyannote[2314].end 11682.94784375
transcript.pyannote[2315].speaker SPEAKER_14
transcript.pyannote[2315].start 11683.90971875
transcript.pyannote[2315].end 11685.41159375
transcript.pyannote[2316].speaker SPEAKER_14
transcript.pyannote[2316].start 11687.57159375
transcript.pyannote[2316].end 11689.52909375
transcript.pyannote[2317].speaker SPEAKER_14
transcript.pyannote[2317].start 11691.06471875
transcript.pyannote[2317].end 11691.77346875
transcript.pyannote[2318].speaker SPEAKER_14
transcript.pyannote[2318].start 11692.81971875
transcript.pyannote[2318].end 11693.74784375
transcript.pyannote[2319].speaker SPEAKER_14
transcript.pyannote[2319].start 11694.96284375
transcript.pyannote[2319].end 11695.72221875
transcript.pyannote[2320].speaker SPEAKER_14
transcript.pyannote[2320].start 11696.59971875
transcript.pyannote[2320].end 11697.83159375
transcript.pyannote[2321].speaker SPEAKER_14
transcript.pyannote[2321].start 11698.69221875
transcript.pyannote[2321].end 11700.24471875
transcript.pyannote[2322].speaker SPEAKER_14
transcript.pyannote[2322].start 11700.41346875
transcript.pyannote[2322].end 11701.86471875
transcript.pyannote[2323].speaker SPEAKER_14
transcript.pyannote[2323].start 11702.79284375
transcript.pyannote[2323].end 11704.24409375
transcript.pyannote[2324].speaker SPEAKER_14
transcript.pyannote[2324].start 11706.28596875
transcript.pyannote[2324].end 11710.82534375
transcript.pyannote[2325].speaker SPEAKER_14
transcript.pyannote[2325].start 11710.97721875
transcript.pyannote[2325].end 11712.47909375
transcript.pyannote[2326].speaker SPEAKER_14
transcript.pyannote[2326].start 11713.22159375
transcript.pyannote[2326].end 11713.79534375
transcript.pyannote[2327].speaker SPEAKER_14
transcript.pyannote[2327].start 11714.62221875
transcript.pyannote[2327].end 11720.73096875
transcript.pyannote[2328].speaker SPEAKER_14
transcript.pyannote[2328].start 11721.11909375
transcript.pyannote[2328].end 11724.22409375
transcript.pyannote[2329].speaker SPEAKER_14
transcript.pyannote[2329].start 11725.05096875
transcript.pyannote[2329].end 11727.85221875
transcript.pyannote[2330].speaker SPEAKER_14
transcript.pyannote[2330].start 11728.42596875
transcript.pyannote[2330].end 11729.43846875
transcript.pyannote[2331].speaker SPEAKER_14
transcript.pyannote[2331].start 11730.34971875
transcript.pyannote[2331].end 11732.35784375
transcript.pyannote[2332].speaker SPEAKER_14
transcript.pyannote[2332].start 11733.13409375
transcript.pyannote[2332].end 11734.99034375
transcript.pyannote[2333].speaker SPEAKER_14
transcript.pyannote[2333].start 11735.53034375
transcript.pyannote[2333].end 11737.06596875
transcript.pyannote[2334].speaker SPEAKER_14
transcript.pyannote[2334].start 11738.61846875
transcript.pyannote[2334].end 11740.23846875
transcript.pyannote[2335].speaker SPEAKER_14
transcript.pyannote[2335].start 11741.52096875
transcript.pyannote[2335].end 11744.44034375
transcript.pyannote[2336].speaker SPEAKER_14
transcript.pyannote[2336].start 11745.50346875
transcript.pyannote[2336].end 11746.66784375
transcript.pyannote[2337].speaker SPEAKER_11
transcript.pyannote[2337].start 11750.93721875
transcript.pyannote[2337].end 11752.57409375
transcript.pyannote[2338].speaker SPEAKER_11
transcript.pyannote[2338].start 11752.67534375
transcript.pyannote[2338].end 11754.46409375
transcript.pyannote[2339].speaker SPEAKER_14
transcript.pyannote[2339].start 11753.75534375
transcript.pyannote[2339].end 11754.16034375
transcript.pyannote[2340].speaker SPEAKER_14
transcript.pyannote[2340].start 11754.46409375
transcript.pyannote[2340].end 11756.08409375
transcript.pyannote[2341].speaker SPEAKER_11
transcript.pyannote[2341].start 11754.56534375
transcript.pyannote[2341].end 11755.03784375
transcript.pyannote[2342].speaker SPEAKER_14
transcript.pyannote[2342].start 11756.35409375
transcript.pyannote[2342].end 11756.38784375
transcript.pyannote[2343].speaker SPEAKER_11
transcript.pyannote[2343].start 11756.38784375
transcript.pyannote[2343].end 11756.70846875
transcript.pyannote[2344].speaker SPEAKER_14
transcript.pyannote[2344].start 11756.72534375
transcript.pyannote[2344].end 11756.74221875
transcript.pyannote[2345].speaker SPEAKER_14
transcript.pyannote[2345].start 11756.79284375
transcript.pyannote[2345].end 11760.28596875
transcript.pyannote[2346].speaker SPEAKER_14
transcript.pyannote[2346].start 11760.33659375
transcript.pyannote[2346].end 11760.38721875
transcript.pyannote[2347].speaker SPEAKER_08
transcript.pyannote[2347].start 11760.38721875
transcript.pyannote[2347].end 11760.70784375
transcript.pyannote[2348].speaker SPEAKER_14
transcript.pyannote[2348].start 11760.62346875
transcript.pyannote[2348].end 11762.63159375
transcript.pyannote[2349].speaker SPEAKER_14
transcript.pyannote[2349].start 11763.20534375
transcript.pyannote[2349].end 11765.12909375
transcript.pyannote[2350].speaker SPEAKER_14
transcript.pyannote[2350].start 11765.53409375
transcript.pyannote[2350].end 11771.69346875
transcript.pyannote[2351].speaker SPEAKER_14
transcript.pyannote[2351].start 11772.14909375
transcript.pyannote[2351].end 11773.70159375
transcript.pyannote[2352].speaker SPEAKER_14
transcript.pyannote[2352].start 11774.71409375
transcript.pyannote[2352].end 11776.14846875
transcript.pyannote[2353].speaker SPEAKER_14
transcript.pyannote[2353].start 11776.68846875
transcript.pyannote[2353].end 11778.66284375
transcript.pyannote[2354].speaker SPEAKER_14
transcript.pyannote[2354].start 11779.10159375
transcript.pyannote[2354].end 11781.68346875
transcript.pyannote[2355].speaker SPEAKER_14
transcript.pyannote[2355].start 11781.95346875
transcript.pyannote[2355].end 11784.02909375
transcript.pyannote[2356].speaker SPEAKER_14
transcript.pyannote[2356].start 11785.26096875
transcript.pyannote[2356].end 11786.57721875
transcript.pyannote[2357].speaker SPEAKER_14
transcript.pyannote[2357].start 11786.96534375
transcript.pyannote[2357].end 11789.36159375
transcript.pyannote[2358].speaker SPEAKER_14
transcript.pyannote[2358].start 11790.05346875
transcript.pyannote[2358].end 11790.82971875
transcript.pyannote[2359].speaker SPEAKER_14
transcript.pyannote[2359].start 11792.11221875
transcript.pyannote[2359].end 11793.91784375
transcript.pyannote[2360].speaker SPEAKER_14
transcript.pyannote[2360].start 11795.68971875
transcript.pyannote[2360].end 11798.10284375
transcript.pyannote[2361].speaker SPEAKER_14
transcript.pyannote[2361].start 11798.94659375
transcript.pyannote[2361].end 11801.81534375
transcript.pyannote[2362].speaker SPEAKER_14
transcript.pyannote[2362].start 11802.59159375
transcript.pyannote[2362].end 11803.14846875
transcript.pyannote[2363].speaker SPEAKER_11
transcript.pyannote[2363].start 11803.40159375
transcript.pyannote[2363].end 11803.85721875
transcript.pyannote[2364].speaker SPEAKER_11
transcript.pyannote[2364].start 11804.92034375
transcript.pyannote[2364].end 11815.58534375
transcript.pyannote[2365].speaker SPEAKER_14
transcript.pyannote[2365].start 11816.29409375
transcript.pyannote[2365].end 11819.63534375
transcript.pyannote[2366].speaker SPEAKER_11
transcript.pyannote[2366].start 11818.36971875
transcript.pyannote[2366].end 11818.60596875
transcript.pyannote[2367].speaker SPEAKER_11
transcript.pyannote[2367].start 11819.63534375
transcript.pyannote[2367].end 11819.65221875
transcript.pyannote[2368].speaker SPEAKER_11
transcript.pyannote[2368].start 11819.66909375
transcript.pyannote[2368].end 11819.92221875
transcript.pyannote[2369].speaker SPEAKER_14
transcript.pyannote[2369].start 11820.49596875
transcript.pyannote[2369].end 11822.03159375
transcript.pyannote[2370].speaker SPEAKER_14
transcript.pyannote[2370].start 11822.43659375
transcript.pyannote[2370].end 11823.95534375
transcript.pyannote[2371].speaker SPEAKER_14
transcript.pyannote[2371].start 11826.38534375
transcript.pyannote[2371].end 11832.35909375
transcript.pyannote[2372].speaker SPEAKER_14
transcript.pyannote[2372].start 11832.49409375
transcript.pyannote[2372].end 11835.00846875
transcript.pyannote[2373].speaker SPEAKER_09
transcript.pyannote[2373].start 11835.00846875
transcript.pyannote[2373].end 11835.43034375
transcript.pyannote[2374].speaker SPEAKER_11
transcript.pyannote[2374].start 11835.43034375
transcript.pyannote[2374].end 11835.44721875
transcript.pyannote[2375].speaker SPEAKER_14
transcript.pyannote[2375].start 11835.80159375
transcript.pyannote[2375].end 11840.61096875
transcript.pyannote[2376].speaker SPEAKER_14
transcript.pyannote[2376].start 11841.82596875
transcript.pyannote[2376].end 11844.08721875
transcript.pyannote[2377].speaker SPEAKER_14
transcript.pyannote[2377].start 11845.15034375
transcript.pyannote[2377].end 11846.97284375
transcript.pyannote[2378].speaker SPEAKER_14
transcript.pyannote[2378].start 11848.52534375
transcript.pyannote[2378].end 11850.09471875
transcript.pyannote[2379].speaker SPEAKER_14
transcript.pyannote[2379].start 11850.55034375
transcript.pyannote[2379].end 11851.78221875
transcript.pyannote[2380].speaker SPEAKER_14
transcript.pyannote[2380].start 11852.91284375
transcript.pyannote[2380].end 11855.00534375
transcript.pyannote[2381].speaker SPEAKER_14
transcript.pyannote[2381].start 11855.62971875
transcript.pyannote[2381].end 11857.03034375
transcript.pyannote[2382].speaker SPEAKER_06
transcript.pyannote[2382].start 11857.03034375
transcript.pyannote[2382].end 11858.04284375
transcript.pyannote[2383].speaker SPEAKER_11
transcript.pyannote[2383].start 11858.16096875
transcript.pyannote[2383].end 11858.59971875
transcript.pyannote[2384].speaker SPEAKER_06
transcript.pyannote[2384].start 11858.21159375
transcript.pyannote[2384].end 11858.31284375
transcript.pyannote[2385].speaker SPEAKER_06
transcript.pyannote[2385].start 11858.59971875
transcript.pyannote[2385].end 11858.61659375
transcript.pyannote[2386].speaker SPEAKER_06
transcript.pyannote[2386].start 11858.65034375
transcript.pyannote[2386].end 11866.02471875
transcript.pyannote[2387].speaker SPEAKER_06
transcript.pyannote[2387].start 11869.26471875
transcript.pyannote[2387].end 11872.09971875
transcript.pyannote[2388].speaker SPEAKER_07
transcript.pyannote[2388].start 11888.29971875
transcript.pyannote[2388].end 11890.88159375
transcript.pyannote[2389].speaker SPEAKER_06
transcript.pyannote[2389].start 11891.25284375
transcript.pyannote[2389].end 11893.56471875
transcript.pyannote[2390].speaker SPEAKER_07
transcript.pyannote[2390].start 11896.50096875
transcript.pyannote[2390].end 11897.19284375
transcript.pyannote[2391].speaker SPEAKER_07
transcript.pyannote[2391].start 11898.23909375
transcript.pyannote[2391].end 11898.89721875
transcript.pyannote[2392].speaker SPEAKER_07
transcript.pyannote[2392].start 11899.21784375
transcript.pyannote[2392].end 11900.50034375
transcript.pyannote[2393].speaker SPEAKER_07
transcript.pyannote[2393].start 11901.15846875
transcript.pyannote[2393].end 11901.81659375
transcript.pyannote[2394].speaker SPEAKER_07
transcript.pyannote[2394].start 11902.23846875
transcript.pyannote[2394].end 11912.14409375
transcript.pyannote[2395].speaker SPEAKER_07
transcript.pyannote[2395].start 11912.26221875
transcript.pyannote[2395].end 11913.66284375
transcript.pyannote[2396].speaker SPEAKER_07
transcript.pyannote[2396].start 11914.33784375
transcript.pyannote[2396].end 11919.26534375
transcript.pyannote[2397].speaker SPEAKER_07
transcript.pyannote[2397].start 11919.78846875
transcript.pyannote[2397].end 11922.48846875
transcript.pyannote[2398].speaker SPEAKER_07
transcript.pyannote[2398].start 11923.06221875
transcript.pyannote[2398].end 11923.68659375
transcript.pyannote[2399].speaker SPEAKER_07
transcript.pyannote[2399].start 11924.78346875
transcript.pyannote[2399].end 11925.13784375
transcript.pyannote[2400].speaker SPEAKER_07
transcript.pyannote[2400].start 11925.49221875
transcript.pyannote[2400].end 11926.99409375
transcript.pyannote[2401].speaker SPEAKER_07
transcript.pyannote[2401].start 11927.24721875
transcript.pyannote[2401].end 11933.76096875
transcript.pyannote[2402].speaker SPEAKER_07
transcript.pyannote[2402].start 11934.25034375
transcript.pyannote[2402].end 11942.94096875
transcript.pyannote[2403].speaker SPEAKER_07
transcript.pyannote[2403].start 11943.53159375
transcript.pyannote[2403].end 11946.73784375
transcript.pyannote[2404].speaker SPEAKER_07
transcript.pyannote[2404].start 11947.49721875
transcript.pyannote[2404].end 11948.88096875
transcript.pyannote[2405].speaker SPEAKER_07
transcript.pyannote[2405].start 11949.77534375
transcript.pyannote[2405].end 11951.26034375
transcript.pyannote[2406].speaker SPEAKER_07
transcript.pyannote[2406].start 11952.17159375
transcript.pyannote[2406].end 11953.35284375
transcript.pyannote[2407].speaker SPEAKER_07
transcript.pyannote[2407].start 11953.94346875
transcript.pyannote[2407].end 11955.71534375
transcript.pyannote[2408].speaker SPEAKER_07
transcript.pyannote[2408].start 11956.89659375
transcript.pyannote[2408].end 11960.08596875
transcript.pyannote[2409].speaker SPEAKER_07
transcript.pyannote[2409].start 11960.38971875
transcript.pyannote[2409].end 11961.82409375
transcript.pyannote[2410].speaker SPEAKER_07
transcript.pyannote[2410].start 11962.92096875
transcript.pyannote[2410].end 11963.68034375
transcript.pyannote[2411].speaker SPEAKER_07
transcript.pyannote[2411].start 11964.25409375
transcript.pyannote[2411].end 11977.90596875
transcript.pyannote[2412].speaker SPEAKER_07
transcript.pyannote[2412].start 11978.44596875
transcript.pyannote[2412].end 11980.03221875
transcript.pyannote[2413].speaker SPEAKER_07
transcript.pyannote[2413].start 11980.55534375
transcript.pyannote[2413].end 11983.86284375
transcript.pyannote[2414].speaker SPEAKER_07
transcript.pyannote[2414].start 11984.25096875
transcript.pyannote[2414].end 11985.78659375
transcript.pyannote[2415].speaker SPEAKER_07
transcript.pyannote[2415].start 11986.61346875
transcript.pyannote[2415].end 11988.23346875
transcript.pyannote[2416].speaker SPEAKER_07
transcript.pyannote[2416].start 11989.11096875
transcript.pyannote[2416].end 11989.93784375
transcript.pyannote[2417].speaker SPEAKER_07
transcript.pyannote[2417].start 11990.56221875
transcript.pyannote[2417].end 11993.80221875
transcript.pyannote[2418].speaker SPEAKER_07
transcript.pyannote[2418].start 11994.49409375
transcript.pyannote[2418].end 11995.47284375
transcript.pyannote[2419].speaker SPEAKER_07
transcript.pyannote[2419].start 11996.19846875
transcript.pyannote[2419].end 11998.52721875
transcript.pyannote[2420].speaker SPEAKER_07
transcript.pyannote[2420].start 11999.01659375
transcript.pyannote[2420].end 11999.89409375
transcript.pyannote[2421].speaker SPEAKER_07
transcript.pyannote[2421].start 12000.45096875
transcript.pyannote[2421].end 12001.90221875
transcript.pyannote[2422].speaker SPEAKER_07
transcript.pyannote[2422].start 12002.42534375
transcript.pyannote[2422].end 12003.52221875
transcript.pyannote[2423].speaker SPEAKER_07
transcript.pyannote[2423].start 12004.55159375
transcript.pyannote[2423].end 12006.71159375
transcript.pyannote[2424].speaker SPEAKER_07
transcript.pyannote[2424].start 12007.63971875
transcript.pyannote[2424].end 12008.73659375
transcript.pyannote[2425].speaker SPEAKER_07
transcript.pyannote[2425].start 12009.24284375
transcript.pyannote[2425].end 12011.38596875
transcript.pyannote[2426].speaker SPEAKER_07
transcript.pyannote[2426].start 12013.71471875
transcript.pyannote[2426].end 12015.16596875
transcript.pyannote[2427].speaker SPEAKER_07
transcript.pyannote[2427].start 12018.42284375
transcript.pyannote[2427].end 12019.06409375
transcript.pyannote[2428].speaker SPEAKER_07
transcript.pyannote[2428].start 12019.73909375
transcript.pyannote[2428].end 12025.13909375
transcript.pyannote[2429].speaker SPEAKER_07
transcript.pyannote[2429].start 12026.47221875
transcript.pyannote[2429].end 12027.02909375
transcript.pyannote[2430].speaker SPEAKER_07
transcript.pyannote[2430].start 12029.03721875
transcript.pyannote[2430].end 12031.73721875
transcript.pyannote[2431].speaker SPEAKER_07
transcript.pyannote[2431].start 12032.63159375
transcript.pyannote[2431].end 12039.71909375
transcript.pyannote[2432].speaker SPEAKER_07
transcript.pyannote[2432].start 12040.86659375
transcript.pyannote[2432].end 12043.11096875
transcript.pyannote[2433].speaker SPEAKER_07
transcript.pyannote[2433].start 12043.24596875
transcript.pyannote[2433].end 12046.24971875
transcript.pyannote[2434].speaker SPEAKER_07
transcript.pyannote[2434].start 12048.10596875
transcript.pyannote[2434].end 12049.05096875
transcript.pyannote[2435].speaker SPEAKER_07
transcript.pyannote[2435].start 12049.79346875
transcript.pyannote[2435].end 12051.93659375
transcript.pyannote[2436].speaker SPEAKER_07
transcript.pyannote[2436].start 12052.18971875
transcript.pyannote[2436].end 12054.82221875
transcript.pyannote[2437].speaker SPEAKER_07
transcript.pyannote[2437].start 12055.39596875
transcript.pyannote[2437].end 12060.28971875
transcript.pyannote[2438].speaker SPEAKER_07
transcript.pyannote[2438].start 12062.04471875
transcript.pyannote[2438].end 12062.51721875
transcript.pyannote[2439].speaker SPEAKER_07
transcript.pyannote[2439].start 12063.02346875
transcript.pyannote[2439].end 12064.32284375
transcript.pyannote[2440].speaker SPEAKER_07
transcript.pyannote[2440].start 12065.25096875
transcript.pyannote[2440].end 12068.84534375
transcript.pyannote[2441].speaker SPEAKER_07
transcript.pyannote[2441].start 12069.58784375
transcript.pyannote[2441].end 12073.21596875
transcript.pyannote[2442].speaker SPEAKER_07
transcript.pyannote[2442].start 12073.26659375
transcript.pyannote[2442].end 12075.91596875
transcript.pyannote[2443].speaker SPEAKER_07
transcript.pyannote[2443].start 12076.67534375
transcript.pyannote[2443].end 12079.98284375
transcript.pyannote[2444].speaker SPEAKER_07
transcript.pyannote[2444].start 12080.18534375
transcript.pyannote[2444].end 12083.27346875
transcript.pyannote[2445].speaker SPEAKER_07
transcript.pyannote[2445].start 12084.77534375
transcript.pyannote[2445].end 12085.93971875
transcript.pyannote[2446].speaker SPEAKER_07
transcript.pyannote[2446].start 12087.13784375
transcript.pyannote[2446].end 12088.08284375
transcript.pyannote[2447].speaker SPEAKER_07
transcript.pyannote[2447].start 12090.27659375
transcript.pyannote[2447].end 12090.78284375
transcript.pyannote[2448].speaker SPEAKER_07
transcript.pyannote[2448].start 12093.24659375
transcript.pyannote[2448].end 12095.10284375
transcript.pyannote[2449].speaker SPEAKER_07
transcript.pyannote[2449].start 12095.57534375
transcript.pyannote[2449].end 12098.08971875
transcript.pyannote[2450].speaker SPEAKER_07
transcript.pyannote[2450].start 12099.37221875
transcript.pyannote[2450].end 12101.36346875
transcript.pyannote[2451].speaker SPEAKER_07
transcript.pyannote[2451].start 12102.42659375
transcript.pyannote[2451].end 12103.25346875
transcript.pyannote[2452].speaker SPEAKER_07
transcript.pyannote[2452].start 12103.72596875
transcript.pyannote[2452].end 12106.84784375
transcript.pyannote[2453].speaker SPEAKER_07
transcript.pyannote[2453].start 12107.80971875
transcript.pyannote[2453].end 12110.64471875
transcript.pyannote[2454].speaker SPEAKER_07
transcript.pyannote[2454].start 12111.25221875
transcript.pyannote[2454].end 12112.14659375
transcript.pyannote[2455].speaker SPEAKER_07
transcript.pyannote[2455].start 12114.74534375
transcript.pyannote[2455].end 12115.53846875
transcript.pyannote[2456].speaker SPEAKER_07
transcript.pyannote[2456].start 12115.85909375
transcript.pyannote[2456].end 12117.22596875
transcript.pyannote[2457].speaker SPEAKER_07
transcript.pyannote[2457].start 12118.22159375
transcript.pyannote[2457].end 12120.11159375
transcript.pyannote[2458].speaker SPEAKER_07
transcript.pyannote[2458].start 12121.17471875
transcript.pyannote[2458].end 12122.55846875
transcript.pyannote[2459].speaker SPEAKER_07
transcript.pyannote[2459].start 12122.82846875
transcript.pyannote[2459].end 12124.70159375
transcript.pyannote[2460].speaker SPEAKER_07
transcript.pyannote[2460].start 12125.37659375
transcript.pyannote[2460].end 12126.64221875
transcript.pyannote[2461].speaker SPEAKER_07
transcript.pyannote[2461].start 12128.22846875
transcript.pyannote[2461].end 12129.61221875
transcript.pyannote[2462].speaker SPEAKER_07
transcript.pyannote[2462].start 12129.81471875
transcript.pyannote[2462].end 12143.56784375
transcript.pyannote[2463].speaker SPEAKER_07
transcript.pyannote[2463].start 12144.69846875
transcript.pyannote[2463].end 12146.60534375
transcript.pyannote[2464].speaker SPEAKER_07
transcript.pyannote[2464].start 12146.95971875
transcript.pyannote[2464].end 12147.98909375
transcript.pyannote[2465].speaker SPEAKER_07
transcript.pyannote[2465].start 12148.88346875
transcript.pyannote[2465].end 12150.87471875
transcript.pyannote[2466].speaker SPEAKER_07
transcript.pyannote[2466].start 12151.29659375
transcript.pyannote[2466].end 12153.49034375
transcript.pyannote[2467].speaker SPEAKER_07
transcript.pyannote[2467].start 12153.70971875
transcript.pyannote[2467].end 12155.61659375
transcript.pyannote[2468].speaker SPEAKER_07
transcript.pyannote[2468].start 12156.08909375
transcript.pyannote[2468].end 12160.49346875
transcript.pyannote[2469].speaker SPEAKER_07
transcript.pyannote[2469].start 12161.62409375
transcript.pyannote[2469].end 12162.36659375
transcript.pyannote[2470].speaker SPEAKER_07
transcript.pyannote[2470].start 12162.99096875
transcript.pyannote[2470].end 12163.61534375
transcript.pyannote[2471].speaker SPEAKER_07
transcript.pyannote[2471].start 12164.39159375
transcript.pyannote[2471].end 12165.38721875
transcript.pyannote[2472].speaker SPEAKER_20
transcript.pyannote[2472].start 12167.71596875
transcript.pyannote[2472].end 12167.80034375
transcript.pyannote[2473].speaker SPEAKER_07
transcript.pyannote[2473].start 12167.80034375
transcript.pyannote[2473].end 12168.61034375
transcript.pyannote[2474].speaker SPEAKER_20
transcript.pyannote[2474].start 12167.88471875
transcript.pyannote[2474].end 12168.17159375
transcript.pyannote[2475].speaker SPEAKER_20
transcript.pyannote[2475].start 12168.89721875
transcript.pyannote[2475].end 12195.12096875
transcript.pyannote[2476].speaker SPEAKER_07
transcript.pyannote[2476].start 12193.04534375
transcript.pyannote[2476].end 12195.79596875
transcript.pyannote[2477].speaker SPEAKER_07
transcript.pyannote[2477].start 12196.23471875
transcript.pyannote[2477].end 12212.70471875
transcript.pyannote[2478].speaker SPEAKER_20
transcript.pyannote[2478].start 12197.02784375
transcript.pyannote[2478].end 12197.44971875
transcript.pyannote[2479].speaker SPEAKER_07
transcript.pyannote[2479].start 12213.02534375
transcript.pyannote[2479].end 12223.69034375
transcript.pyannote[2480].speaker SPEAKER_07
transcript.pyannote[2480].start 12224.38221875
transcript.pyannote[2480].end 12228.07784375
transcript.pyannote[2481].speaker SPEAKER_07
transcript.pyannote[2481].start 12229.57971875
transcript.pyannote[2481].end 12232.63409375
transcript.pyannote[2482].speaker SPEAKER_07
transcript.pyannote[2482].start 12233.03909375
transcript.pyannote[2482].end 12237.19034375
transcript.pyannote[2483].speaker SPEAKER_07
transcript.pyannote[2483].start 12237.91596875
transcript.pyannote[2483].end 12242.70846875
transcript.pyannote[2484].speaker SPEAKER_07
transcript.pyannote[2484].start 12244.05846875
transcript.pyannote[2484].end 12245.44221875
transcript.pyannote[2485].speaker SPEAKER_07
transcript.pyannote[2485].start 12245.76284375
transcript.pyannote[2485].end 12247.73721875
transcript.pyannote[2486].speaker SPEAKER_07
transcript.pyannote[2486].start 12248.46284375
transcript.pyannote[2486].end 12267.16034375
transcript.pyannote[2487].speaker SPEAKER_07
transcript.pyannote[2487].start 12267.75096875
transcript.pyannote[2487].end 12273.11721875
transcript.pyannote[2488].speaker SPEAKER_07
transcript.pyannote[2488].start 12273.64034375
transcript.pyannote[2488].end 12274.23096875
transcript.pyannote[2489].speaker SPEAKER_07
transcript.pyannote[2489].start 12275.80034375
transcript.pyannote[2489].end 12279.56346875
transcript.pyannote[2490].speaker SPEAKER_07
transcript.pyannote[2490].start 12280.27221875
transcript.pyannote[2490].end 12288.65909375
transcript.pyannote[2491].speaker SPEAKER_07
transcript.pyannote[2491].start 12289.09784375
transcript.pyannote[2491].end 12291.05534375
transcript.pyannote[2492].speaker SPEAKER_07
transcript.pyannote[2492].start 12291.37596875
transcript.pyannote[2492].end 12301.06221875
transcript.pyannote[2493].speaker SPEAKER_07
transcript.pyannote[2493].start 12301.45034375
transcript.pyannote[2493].end 12306.71534375
transcript.pyannote[2494].speaker SPEAKER_07
transcript.pyannote[2494].start 12306.88409375
transcript.pyannote[2494].end 12309.98909375
transcript.pyannote[2495].speaker SPEAKER_07
transcript.pyannote[2495].start 12311.27159375
transcript.pyannote[2495].end 12313.49909375
transcript.pyannote[2496].speaker SPEAKER_07
transcript.pyannote[2496].start 12314.08971875
transcript.pyannote[2496].end 12320.95784375
transcript.pyannote[2497].speaker SPEAKER_20
transcript.pyannote[2497].start 12318.61221875
transcript.pyannote[2497].end 12327.03284375
transcript.pyannote[2498].speaker SPEAKER_07
transcript.pyannote[2498].start 12326.42534375
transcript.pyannote[2498].end 12328.58534375
transcript.pyannote[2499].speaker SPEAKER_20
transcript.pyannote[2499].start 12328.65284375
transcript.pyannote[2499].end 12342.11909375
transcript.pyannote[2500].speaker SPEAKER_07
transcript.pyannote[2500].start 12330.17159375
transcript.pyannote[2500].end 12330.81284375
transcript.pyannote[2501].speaker SPEAKER_07
transcript.pyannote[2501].start 12336.70221875
transcript.pyannote[2501].end 12336.73596875
transcript.pyannote[2502].speaker SPEAKER_06
transcript.pyannote[2502].start 12336.73596875
transcript.pyannote[2502].end 12336.95534375
transcript.pyannote[2503].speaker SPEAKER_07
transcript.pyannote[2503].start 12338.32221875
transcript.pyannote[2503].end 12339.41909375
transcript.pyannote[2504].speaker SPEAKER_06
transcript.pyannote[2504].start 12339.41909375
transcript.pyannote[2504].end 12339.43596875
transcript.pyannote[2505].speaker SPEAKER_07
transcript.pyannote[2505].start 12339.43596875
transcript.pyannote[2505].end 12339.46971875
transcript.pyannote[2506].speaker SPEAKER_06
transcript.pyannote[2506].start 12339.46971875
transcript.pyannote[2506].end 12339.50346875
transcript.pyannote[2507].speaker SPEAKER_06
transcript.pyannote[2507].start 12340.75221875
transcript.pyannote[2507].end 12342.08534375
transcript.pyannote[2508].speaker SPEAKER_07
transcript.pyannote[2508].start 12342.08534375
transcript.pyannote[2508].end 12346.30409375
transcript.pyannote[2509].speaker SPEAKER_06
transcript.pyannote[2509].start 12342.11909375
transcript.pyannote[2509].end 12344.95409375
transcript.pyannote[2510].speaker SPEAKER_20
transcript.pyannote[2510].start 12344.95409375
transcript.pyannote[2510].end 12344.98784375
transcript.pyannote[2511].speaker SPEAKER_09
transcript.pyannote[2511].start 12344.98784375
transcript.pyannote[2511].end 12346.20284375
transcript.pyannote[2512].speaker SPEAKER_07
transcript.pyannote[2512].start 12346.84409375
transcript.pyannote[2512].end 12372.30846875
transcript.pyannote[2513].speaker SPEAKER_06
transcript.pyannote[2513].start 12372.30846875
transcript.pyannote[2513].end 12374.60346875
transcript.pyannote[2514].speaker SPEAKER_06
transcript.pyannote[2514].start 12376.22346875
transcript.pyannote[2514].end 12385.09971875
transcript.pyannote[2515].speaker SPEAKER_21
transcript.pyannote[2515].start 12391.15784375
transcript.pyannote[2515].end 12391.52909375
transcript.pyannote[2516].speaker SPEAKER_21
transcript.pyannote[2516].start 12392.23784375
transcript.pyannote[2516].end 12395.73096875
transcript.pyannote[2517].speaker SPEAKER_06
transcript.pyannote[2517].start 12395.96721875
transcript.pyannote[2517].end 12398.09346875
transcript.pyannote[2518].speaker SPEAKER_21
transcript.pyannote[2518].start 12402.10971875
transcript.pyannote[2518].end 12402.44721875
transcript.pyannote[2519].speaker SPEAKER_21
transcript.pyannote[2519].start 12402.49784375
transcript.pyannote[2519].end 12421.00971875
transcript.pyannote[2520].speaker SPEAKER_06
transcript.pyannote[2520].start 12404.08409375
transcript.pyannote[2520].end 12404.57346875
transcript.pyannote[2521].speaker SPEAKER_19
transcript.pyannote[2521].start 12404.57346875
transcript.pyannote[2521].end 12404.72534375
transcript.pyannote[2522].speaker SPEAKER_11
transcript.pyannote[2522].start 12422.79846875
transcript.pyannote[2522].end 12423.92909375
transcript.pyannote[2523].speaker SPEAKER_11
transcript.pyannote[2523].start 12424.11471875
transcript.pyannote[2523].end 12436.66971875
transcript.pyannote[2524].speaker SPEAKER_21
transcript.pyannote[2524].start 12427.96221875
transcript.pyannote[2524].end 12428.38409375
transcript.pyannote[2525].speaker SPEAKER_09
transcript.pyannote[2525].start 12428.38409375
transcript.pyannote[2525].end 12428.40096875
transcript.pyannote[2526].speaker SPEAKER_11
transcript.pyannote[2526].start 12436.80471875
transcript.pyannote[2526].end 12438.01971875
transcript.pyannote[2527].speaker SPEAKER_08
transcript.pyannote[2527].start 12436.85534375
transcript.pyannote[2527].end 12437.15909375
transcript.pyannote[2528].speaker SPEAKER_11
transcript.pyannote[2528].start 12438.23909375
transcript.pyannote[2528].end 12487.00784375
transcript.pyannote[2529].speaker SPEAKER_11
transcript.pyannote[2529].start 12487.05846875
transcript.pyannote[2529].end 12519.32346875
transcript.pyannote[2530].speaker SPEAKER_00
transcript.pyannote[2530].start 12490.68659375
transcript.pyannote[2530].end 12491.02409375
transcript.pyannote[2531].speaker SPEAKER_21
transcript.pyannote[2531].start 12518.20971875
transcript.pyannote[2531].end 12518.68221875
transcript.pyannote[2532].speaker SPEAKER_21
transcript.pyannote[2532].start 12519.55971875
transcript.pyannote[2532].end 12523.10346875
transcript.pyannote[2533].speaker SPEAKER_11
transcript.pyannote[2533].start 12523.28909375
transcript.pyannote[2533].end 12560.46471875
transcript.pyannote[2534].speaker SPEAKER_21
transcript.pyannote[2534].start 12529.66784375
transcript.pyannote[2534].end 12530.12346875
transcript.pyannote[2535].speaker SPEAKER_00
transcript.pyannote[2535].start 12552.09471875
transcript.pyannote[2535].end 12552.11159375
transcript.pyannote[2536].speaker SPEAKER_21
transcript.pyannote[2536].start 12552.11159375
transcript.pyannote[2536].end 12552.41534375
transcript.pyannote[2537].speaker SPEAKER_21
transcript.pyannote[2537].start 12557.14034375
transcript.pyannote[2537].end 12557.74784375
transcript.pyannote[2538].speaker SPEAKER_21
transcript.pyannote[2538].start 12558.20346875
transcript.pyannote[2538].end 12564.22784375
transcript.pyannote[2539].speaker SPEAKER_11
transcript.pyannote[2539].start 12564.58221875
transcript.pyannote[2539].end 12570.18471875
transcript.pyannote[2540].speaker SPEAKER_08
transcript.pyannote[2540].start 12570.20159375
transcript.pyannote[2540].end 12570.52221875
transcript.pyannote[2541].speaker SPEAKER_11
transcript.pyannote[2541].start 12570.42096875
transcript.pyannote[2541].end 12650.98221875
transcript.pyannote[2542].speaker SPEAKER_21
transcript.pyannote[2542].start 12651.47159375
transcript.pyannote[2542].end 12651.80909375
transcript.pyannote[2543].speaker SPEAKER_21
transcript.pyannote[2543].start 12651.99471875
transcript.pyannote[2543].end 12653.53034375
transcript.pyannote[2544].speaker SPEAKER_11
transcript.pyannote[2544].start 12652.01159375
transcript.pyannote[2544].end 12652.34909375
transcript.pyannote[2545].speaker SPEAKER_21
transcript.pyannote[2545].start 12653.91846875
transcript.pyannote[2545].end 12660.92159375
transcript.pyannote[2546].speaker SPEAKER_21
transcript.pyannote[2546].start 12661.34346875
transcript.pyannote[2546].end 12665.17409375
transcript.pyannote[2547].speaker SPEAKER_21
transcript.pyannote[2547].start 12665.96721875
transcript.pyannote[2547].end 12669.54471875
transcript.pyannote[2548].speaker SPEAKER_21
transcript.pyannote[2548].start 12669.76409375
transcript.pyannote[2548].end 12675.48471875
transcript.pyannote[2549].speaker SPEAKER_21
transcript.pyannote[2549].start 12675.78846875
transcript.pyannote[2549].end 12677.86409375
transcript.pyannote[2550].speaker SPEAKER_11
transcript.pyannote[2550].start 12677.86409375
transcript.pyannote[2550].end 12683.83784375
transcript.pyannote[2551].speaker SPEAKER_21
transcript.pyannote[2551].start 12683.83784375
transcript.pyannote[2551].end 12684.02346875
transcript.pyannote[2552].speaker SPEAKER_11
transcript.pyannote[2552].start 12684.02346875
transcript.pyannote[2552].end 12726.46409375
transcript.pyannote[2553].speaker SPEAKER_21
transcript.pyannote[2553].start 12684.09096875
transcript.pyannote[2553].end 12684.14159375
transcript.pyannote[2554].speaker SPEAKER_08
transcript.pyannote[2554].start 12684.14159375
transcript.pyannote[2554].end 12684.15846875
transcript.pyannote[2555].speaker SPEAKER_00
transcript.pyannote[2555].start 12695.97096875
transcript.pyannote[2555].end 12696.05534375
transcript.pyannote[2556].speaker SPEAKER_09
transcript.pyannote[2556].start 12696.05534375
transcript.pyannote[2556].end 12696.37596875
transcript.pyannote[2557].speaker SPEAKER_00
transcript.pyannote[2557].start 12696.37596875
transcript.pyannote[2557].end 12696.44346875
transcript.pyannote[2558].speaker SPEAKER_21
transcript.pyannote[2558].start 12721.40159375
transcript.pyannote[2558].end 12722.11034375
transcript.pyannote[2559].speaker SPEAKER_21
transcript.pyannote[2559].start 12726.81846875
transcript.pyannote[2559].end 12732.16784375
transcript.pyannote[2560].speaker SPEAKER_11
transcript.pyannote[2560].start 12732.42096875
transcript.pyannote[2560].end 12744.16596875
transcript.pyannote[2561].speaker SPEAKER_21
transcript.pyannote[2561].start 12732.69096875
transcript.pyannote[2561].end 12732.70784375
transcript.pyannote[2562].speaker SPEAKER_11
transcript.pyannote[2562].start 12744.36846875
transcript.pyannote[2562].end 12764.87159375
transcript.pyannote[2563].speaker SPEAKER_00
transcript.pyannote[2563].start 12744.60471875
transcript.pyannote[2563].end 12744.65534375
transcript.pyannote[2564].speaker SPEAKER_21
transcript.pyannote[2564].start 12764.02784375
transcript.pyannote[2564].end 12767.18346875
transcript.pyannote[2565].speaker SPEAKER_11
transcript.pyannote[2565].start 12766.18784375
transcript.pyannote[2565].end 12773.49471875
transcript.pyannote[2566].speaker SPEAKER_21
transcript.pyannote[2566].start 12772.58346875
transcript.pyannote[2566].end 12781.61159375
transcript.pyannote[2567].speaker SPEAKER_06
transcript.pyannote[2567].start 12782.13471875
transcript.pyannote[2567].end 12784.00784375
transcript.pyannote[2568].speaker SPEAKER_11
transcript.pyannote[2568].start 12782.57346875
transcript.pyannote[2568].end 12783.21471875
transcript.pyannote[2569].speaker SPEAKER_11
transcript.pyannote[2569].start 12784.41284375
transcript.pyannote[2569].end 12785.08784375
transcript.pyannote[2570].speaker SPEAKER_11
transcript.pyannote[2570].start 12785.30721875
transcript.pyannote[2570].end 12788.19284375
transcript.pyannote[2571].speaker SPEAKER_11
transcript.pyannote[2571].start 12789.01971875
transcript.pyannote[2571].end 12790.25159375
transcript.pyannote[2572].speaker SPEAKER_11
transcript.pyannote[2572].start 12791.02784375
transcript.pyannote[2572].end 12792.04034375
transcript.pyannote[2573].speaker SPEAKER_11
transcript.pyannote[2573].start 12792.81659375
transcript.pyannote[2573].end 12823.07346875
transcript.pyannote[2574].speaker SPEAKER_21
transcript.pyannote[2574].start 12823.59659375
transcript.pyannote[2574].end 12826.11096875
transcript.pyannote[2575].speaker SPEAKER_11
transcript.pyannote[2575].start 12823.86659375
transcript.pyannote[2575].end 12823.88346875
transcript.pyannote[2576].speaker SPEAKER_06
transcript.pyannote[2576].start 12823.88346875
transcript.pyannote[2576].end 12824.10284375
transcript.pyannote[2577].speaker SPEAKER_06
transcript.pyannote[2577].start 12825.06471875
transcript.pyannote[2577].end 12829.04721875
transcript.pyannote[2578].speaker SPEAKER_10
transcript.pyannote[2578].start 12838.26096875
transcript.pyannote[2578].end 12843.59346875
transcript.pyannote[2579].speaker SPEAKER_10
transcript.pyannote[2579].start 12847.03596875
transcript.pyannote[2579].end 12855.72659375
transcript.pyannote[2580].speaker SPEAKER_20
transcript.pyannote[2580].start 12847.59284375
transcript.pyannote[2580].end 12847.62659375
transcript.pyannote[2581].speaker SPEAKER_06
transcript.pyannote[2581].start 12847.62659375
transcript.pyannote[2581].end 12847.76159375
transcript.pyannote[2582].speaker SPEAKER_20
transcript.pyannote[2582].start 12847.76159375
transcript.pyannote[2582].end 12847.96409375
transcript.pyannote[2583].speaker SPEAKER_09
transcript.pyannote[2583].start 12855.52409375
transcript.pyannote[2583].end 12855.97971875
transcript.pyannote[2584].speaker SPEAKER_10
transcript.pyannote[2584].start 12855.97971875
transcript.pyannote[2584].end 12855.99659375
transcript.pyannote[2585].speaker SPEAKER_10
transcript.pyannote[2585].start 12856.06409375
transcript.pyannote[2585].end 12860.65409375
transcript.pyannote[2586].speaker SPEAKER_09
transcript.pyannote[2586].start 12858.57846875
transcript.pyannote[2586].end 12859.08471875
transcript.pyannote[2587].speaker SPEAKER_10
transcript.pyannote[2587].start 12860.82284375
transcript.pyannote[2587].end 12864.50159375
transcript.pyannote[2588].speaker SPEAKER_08
transcript.pyannote[2588].start 12860.90721875
transcript.pyannote[2588].end 12861.41346875
transcript.pyannote[2589].speaker SPEAKER_08
transcript.pyannote[2589].start 12864.41721875
transcript.pyannote[2589].end 12864.80534375
transcript.pyannote[2590].speaker SPEAKER_10
transcript.pyannote[2590].start 12864.80534375
transcript.pyannote[2590].end 12867.55596875
transcript.pyannote[2591].speaker SPEAKER_08
transcript.pyannote[2591].start 12867.50534375
transcript.pyannote[2591].end 12867.94409375
transcript.pyannote[2592].speaker SPEAKER_10
transcript.pyannote[2592].start 12867.89346875
transcript.pyannote[2592].end 12887.75534375
transcript.pyannote[2593].speaker SPEAKER_01
transcript.pyannote[2593].start 12876.98909375
transcript.pyannote[2593].end 12877.34346875
transcript.pyannote[2594].speaker SPEAKER_10
transcript.pyannote[2594].start 12888.09284375
transcript.pyannote[2594].end 12904.19159375
transcript.pyannote[2595].speaker SPEAKER_00
transcript.pyannote[2595].start 12890.23596875
transcript.pyannote[2595].end 12890.79284375
transcript.pyannote[2596].speaker SPEAKER_10
transcript.pyannote[2596].start 12904.61346875
transcript.pyannote[2596].end 12924.01971875
transcript.pyannote[2597].speaker SPEAKER_10
transcript.pyannote[2597].start 12924.44159375
transcript.pyannote[2597].end 12932.84534375
transcript.pyannote[2598].speaker SPEAKER_20
transcript.pyannote[2598].start 12934.19534375
transcript.pyannote[2598].end 12937.26659375
transcript.pyannote[2599].speaker SPEAKER_10
transcript.pyannote[2599].start 12934.58346875
transcript.pyannote[2599].end 12935.57909375
transcript.pyannote[2600].speaker SPEAKER_10
transcript.pyannote[2600].start 12937.26659375
transcript.pyannote[2600].end 12937.97534375
transcript.pyannote[2601].speaker SPEAKER_20
transcript.pyannote[2601].start 12938.24534375
transcript.pyannote[2601].end 12961.34721875
transcript.pyannote[2602].speaker SPEAKER_10
transcript.pyannote[2602].start 12944.03346875
transcript.pyannote[2602].end 12945.13034375
transcript.pyannote[2603].speaker SPEAKER_10
transcript.pyannote[2603].start 12947.03721875
transcript.pyannote[2603].end 12948.13409375
transcript.pyannote[2604].speaker SPEAKER_00
transcript.pyannote[2604].start 12948.13409375
transcript.pyannote[2604].end 12948.15096875
transcript.pyannote[2605].speaker SPEAKER_00
transcript.pyannote[2605].start 12949.36596875
transcript.pyannote[2605].end 12949.38284375
transcript.pyannote[2606].speaker SPEAKER_10
transcript.pyannote[2606].start 12949.38284375
transcript.pyannote[2606].end 12949.97346875
transcript.pyannote[2607].speaker SPEAKER_00
transcript.pyannote[2607].start 12949.97346875
transcript.pyannote[2607].end 12950.71596875
transcript.pyannote[2608].speaker SPEAKER_19
transcript.pyannote[2608].start 12950.71596875
transcript.pyannote[2608].end 12951.08721875
transcript.pyannote[2609].speaker SPEAKER_00
transcript.pyannote[2609].start 12951.08721875
transcript.pyannote[2609].end 12951.10409375
transcript.pyannote[2610].speaker SPEAKER_20
transcript.pyannote[2610].start 12961.85346875
transcript.pyannote[2610].end 12974.05409375
transcript.pyannote[2611].speaker SPEAKER_10
transcript.pyannote[2611].start 12973.85159375
transcript.pyannote[2611].end 12976.78784375
transcript.pyannote[2612].speaker SPEAKER_20
transcript.pyannote[2612].start 12975.87659375
transcript.pyannote[2612].end 12976.39971875
transcript.pyannote[2613].speaker SPEAKER_10
transcript.pyannote[2613].start 12977.24346875
transcript.pyannote[2613].end 12983.95971875
transcript.pyannote[2614].speaker SPEAKER_08
transcript.pyannote[2614].start 12981.81659375
transcript.pyannote[2614].end 12982.37346875
transcript.pyannote[2615].speaker SPEAKER_08
transcript.pyannote[2615].start 12983.72346875
transcript.pyannote[2615].end 12984.12846875
transcript.pyannote[2616].speaker SPEAKER_10
transcript.pyannote[2616].start 12984.12846875
transcript.pyannote[2616].end 12986.55846875
transcript.pyannote[2617].speaker SPEAKER_10
transcript.pyannote[2617].start 12986.92971875
transcript.pyannote[2617].end 12990.81096875
transcript.pyannote[2618].speaker SPEAKER_08
transcript.pyannote[2618].start 12990.81096875
transcript.pyannote[2618].end 12991.19909375
transcript.pyannote[2619].speaker SPEAKER_10
transcript.pyannote[2619].start 12991.09784375
transcript.pyannote[2619].end 12995.06346875
transcript.pyannote[2620].speaker SPEAKER_08
transcript.pyannote[2620].start 12994.74284375
transcript.pyannote[2620].end 12995.13096875
transcript.pyannote[2621].speaker SPEAKER_10
transcript.pyannote[2621].start 12995.13096875
transcript.pyannote[2621].end 13013.57534375
transcript.pyannote[2622].speaker SPEAKER_20
transcript.pyannote[2622].start 13011.16221875
transcript.pyannote[2622].end 13028.52659375
transcript.pyannote[2623].speaker SPEAKER_00
transcript.pyannote[2623].start 13015.24596875
transcript.pyannote[2623].end 13015.26284375
transcript.pyannote[2624].speaker SPEAKER_10
transcript.pyannote[2624].start 13015.26284375
transcript.pyannote[2624].end 13016.22471875
transcript.pyannote[2625].speaker SPEAKER_10
transcript.pyannote[2625].start 13019.49846875
transcript.pyannote[2625].end 13020.29159375
transcript.pyannote[2626].speaker SPEAKER_10
transcript.pyannote[2626].start 13026.92346875
transcript.pyannote[2626].end 13034.50034375
transcript.pyannote[2627].speaker SPEAKER_10
transcript.pyannote[2627].start 13034.60159375
transcript.pyannote[2627].end 13041.70596875
transcript.pyannote[2628].speaker SPEAKER_08
transcript.pyannote[2628].start 13041.62159375
transcript.pyannote[2628].end 13042.02659375
transcript.pyannote[2629].speaker SPEAKER_10
transcript.pyannote[2629].start 13041.87471875
transcript.pyannote[2629].end 13044.00096875
transcript.pyannote[2630].speaker SPEAKER_08
transcript.pyannote[2630].start 13043.96721875
transcript.pyannote[2630].end 13044.25409375
transcript.pyannote[2631].speaker SPEAKER_10
transcript.pyannote[2631].start 13044.54096875
transcript.pyannote[2631].end 13048.54034375
transcript.pyannote[2632].speaker SPEAKER_10
transcript.pyannote[2632].start 13048.64159375
transcript.pyannote[2632].end 13057.72034375
transcript.pyannote[2633].speaker SPEAKER_10
transcript.pyannote[2633].start 13057.97346875
transcript.pyannote[2633].end 13059.99846875
transcript.pyannote[2634].speaker SPEAKER_10
transcript.pyannote[2634].start 13060.40346875
transcript.pyannote[2634].end 13062.00659375
transcript.pyannote[2635].speaker SPEAKER_10
transcript.pyannote[2635].start 13062.27659375
transcript.pyannote[2635].end 13065.51659375
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 13065.49971875
transcript.pyannote[2636].end 13065.88784375
transcript.pyannote[2637].speaker SPEAKER_10
transcript.pyannote[2637].start 13066.41096875
transcript.pyannote[2637].end 13069.26284375
transcript.pyannote[2638].speaker SPEAKER_10
transcript.pyannote[2638].start 13069.68471875
transcript.pyannote[2638].end 13072.09784375
transcript.pyannote[2639].speaker SPEAKER_10
transcript.pyannote[2639].start 13072.18221875
transcript.pyannote[2639].end 13073.02596875
transcript.pyannote[2640].speaker SPEAKER_10
transcript.pyannote[2640].start 13073.44784375
transcript.pyannote[2640].end 13081.41284375
transcript.pyannote[2641].speaker SPEAKER_10
transcript.pyannote[2641].start 13081.88534375
transcript.pyannote[2641].end 13087.21784375
transcript.pyannote[2642].speaker SPEAKER_10
transcript.pyannote[2642].start 13087.89284375
transcript.pyannote[2642].end 13090.20471875
transcript.pyannote[2643].speaker SPEAKER_20
transcript.pyannote[2643].start 13087.90971875
transcript.pyannote[2643].end 13088.56784375
transcript.pyannote[2644].speaker SPEAKER_20
transcript.pyannote[2644].start 13090.74471875
transcript.pyannote[2644].end 13131.32909375
transcript.pyannote[2645].speaker SPEAKER_10
transcript.pyannote[2645].start 13093.71471875
transcript.pyannote[2645].end 13094.13659375
transcript.pyannote[2646].speaker SPEAKER_10
transcript.pyannote[2646].start 13096.34721875
transcript.pyannote[2646].end 13096.87034375
transcript.pyannote[2647].speaker SPEAKER_10
transcript.pyannote[2647].start 13100.12721875
transcript.pyannote[2647].end 13103.92409375
transcript.pyannote[2648].speaker SPEAKER_00
transcript.pyannote[2648].start 13118.84159375
transcript.pyannote[2648].end 13119.38159375
transcript.pyannote[2649].speaker SPEAKER_10
transcript.pyannote[2649].start 13130.82284375
transcript.pyannote[2649].end 13134.18096875
transcript.pyannote[2650].speaker SPEAKER_20
transcript.pyannote[2650].start 13133.91096875
transcript.pyannote[2650].end 13134.34971875
transcript.pyannote[2651].speaker SPEAKER_10
transcript.pyannote[2651].start 13134.56909375
transcript.pyannote[2651].end 13138.65284375
transcript.pyannote[2652].speaker SPEAKER_10
transcript.pyannote[2652].start 13139.04096875
transcript.pyannote[2652].end 13144.60971875
transcript.pyannote[2653].speaker SPEAKER_10
transcript.pyannote[2653].start 13144.89659375
transcript.pyannote[2653].end 13158.12659375
transcript.pyannote[2654].speaker SPEAKER_10
transcript.pyannote[2654].start 13158.58221875
transcript.pyannote[2654].end 13168.08284375
transcript.pyannote[2655].speaker SPEAKER_10
transcript.pyannote[2655].start 13168.60596875
transcript.pyannote[2655].end 13187.23596875
transcript.pyannote[2656].speaker SPEAKER_10
transcript.pyannote[2656].start 13187.48909375
transcript.pyannote[2656].end 13189.24409375
transcript.pyannote[2657].speaker SPEAKER_10
transcript.pyannote[2657].start 13189.75034375
transcript.pyannote[2657].end 13194.52596875
transcript.pyannote[2658].speaker SPEAKER_10
transcript.pyannote[2658].start 13194.84659375
transcript.pyannote[2658].end 13199.57159375
transcript.pyannote[2659].speaker SPEAKER_10
transcript.pyannote[2659].start 13199.90909375
transcript.pyannote[2659].end 13203.90846875
transcript.pyannote[2660].speaker SPEAKER_10
transcript.pyannote[2660].start 13203.97596875
transcript.pyannote[2660].end 13203.99284375
transcript.pyannote[2661].speaker SPEAKER_10
transcript.pyannote[2661].start 13204.12784375
transcript.pyannote[2661].end 13216.10909375
transcript.pyannote[2662].speaker SPEAKER_20
transcript.pyannote[2662].start 13217.12159375
transcript.pyannote[2662].end 13242.61971875
transcript.pyannote[2663].speaker SPEAKER_00
transcript.pyannote[2663].start 13222.67346875
transcript.pyannote[2663].end 13222.75784375
transcript.pyannote[2664].speaker SPEAKER_10
transcript.pyannote[2664].start 13222.75784375
transcript.pyannote[2664].end 13223.19659375
transcript.pyannote[2665].speaker SPEAKER_00
transcript.pyannote[2665].start 13223.19659375
transcript.pyannote[2665].end 13223.33159375
transcript.pyannote[2666].speaker SPEAKER_00
transcript.pyannote[2666].start 13229.06909375
transcript.pyannote[2666].end 13229.08596875
transcript.pyannote[2667].speaker SPEAKER_19
transcript.pyannote[2667].start 13229.08596875
transcript.pyannote[2667].end 13229.42346875
transcript.pyannote[2668].speaker SPEAKER_10
transcript.pyannote[2668].start 13242.34971875
transcript.pyannote[2668].end 13247.14221875
transcript.pyannote[2669].speaker SPEAKER_20
transcript.pyannote[2669].start 13243.71659375
transcript.pyannote[2669].end 13244.05409375
transcript.pyannote[2670].speaker SPEAKER_20
transcript.pyannote[2670].start 13246.50096875
transcript.pyannote[2670].end 13248.37409375
transcript.pyannote[2671].speaker SPEAKER_10
transcript.pyannote[2671].start 13248.08721875
transcript.pyannote[2671].end 13259.81534375
transcript.pyannote[2672].speaker SPEAKER_20
transcript.pyannote[2672].start 13249.42034375
transcript.pyannote[2672].end 13250.98971875
transcript.pyannote[2673].speaker SPEAKER_20
transcript.pyannote[2673].start 13255.86659375
transcript.pyannote[2673].end 13256.79471875
transcript.pyannote[2674].speaker SPEAKER_10
transcript.pyannote[2674].start 13260.03471875
transcript.pyannote[2674].end 13262.07659375
transcript.pyannote[2675].speaker SPEAKER_20
transcript.pyannote[2675].start 13262.07659375
transcript.pyannote[2675].end 13270.96971875
transcript.pyannote[2676].speaker SPEAKER_10
transcript.pyannote[2676].start 13270.34534375
transcript.pyannote[2676].end 13271.27346875
transcript.pyannote[2677].speaker SPEAKER_20
transcript.pyannote[2677].start 13271.40846875
transcript.pyannote[2677].end 13272.92721875
transcript.pyannote[2678].speaker SPEAKER_10
transcript.pyannote[2678].start 13273.01159375
transcript.pyannote[2678].end 13278.25971875
transcript.pyannote[2679].speaker SPEAKER_10
transcript.pyannote[2679].start 13278.56346875
transcript.pyannote[2679].end 13282.24221875
transcript.pyannote[2680].speaker SPEAKER_20
transcript.pyannote[2680].start 13282.74846875
transcript.pyannote[2680].end 13289.48159375
transcript.pyannote[2681].speaker SPEAKER_10
transcript.pyannote[2681].start 13287.40596875
transcript.pyannote[2681].end 13287.96284375
transcript.pyannote[2682].speaker SPEAKER_10
transcript.pyannote[2682].start 13288.97534375
transcript.pyannote[2682].end 13290.05534375
transcript.pyannote[2683].speaker SPEAKER_20
transcript.pyannote[2683].start 13290.20721875
transcript.pyannote[2683].end 13300.61909375
transcript.pyannote[2684].speaker SPEAKER_08
transcript.pyannote[2684].start 13297.14284375
transcript.pyannote[2684].end 13297.24409375
transcript.pyannote[2685].speaker SPEAKER_10
transcript.pyannote[2685].start 13297.24409375
transcript.pyannote[2685].end 13297.96971875
transcript.pyannote[2686].speaker SPEAKER_19
transcript.pyannote[2686].start 13297.96971875
transcript.pyannote[2686].end 13298.10471875
transcript.pyannote[2687].speaker SPEAKER_20
transcript.pyannote[2687].start 13301.10846875
transcript.pyannote[2687].end 13301.49659375
transcript.pyannote[2688].speaker SPEAKER_20
transcript.pyannote[2688].start 13301.93534375
transcript.pyannote[2688].end 13303.36971875
transcript.pyannote[2689].speaker SPEAKER_10
transcript.pyannote[2689].start 13303.08284375
transcript.pyannote[2689].end 13307.79096875
transcript.pyannote[2690].speaker SPEAKER_20
transcript.pyannote[2690].start 13304.17971875
transcript.pyannote[2690].end 13304.68596875
transcript.pyannote[2691].speaker SPEAKER_10
transcript.pyannote[2691].start 13307.99346875
transcript.pyannote[2691].end 13310.91284375
transcript.pyannote[2692].speaker SPEAKER_20
transcript.pyannote[2692].start 13311.63846875
transcript.pyannote[2692].end 13316.71784375
transcript.pyannote[2693].speaker SPEAKER_10
transcript.pyannote[2693].start 13315.33409375
transcript.pyannote[2693].end 13318.96221875
transcript.pyannote[2694].speaker SPEAKER_20
transcript.pyannote[2694].start 13317.84846875
transcript.pyannote[2694].end 13323.45096875
transcript.pyannote[2695].speaker SPEAKER_10
transcript.pyannote[2695].start 13323.04596875
transcript.pyannote[2695].end 13327.55159375
transcript.pyannote[2696].speaker SPEAKER_20
transcript.pyannote[2696].start 13326.37034375
transcript.pyannote[2696].end 13334.28471875
transcript.pyannote[2697].speaker SPEAKER_10
transcript.pyannote[2697].start 13332.93471875
transcript.pyannote[2697].end 13333.35659375
transcript.pyannote[2698].speaker SPEAKER_10
transcript.pyannote[2698].start 13333.87971875
transcript.pyannote[2698].end 13339.16159375
transcript.pyannote[2699].speaker SPEAKER_20
transcript.pyannote[2699].start 13334.60534375
transcript.pyannote[2699].end 13337.98034375
transcript.pyannote[2700].speaker SPEAKER_10
transcript.pyannote[2700].start 13340.20784375
transcript.pyannote[2700].end 13340.84909375
transcript.pyannote[2701].speaker SPEAKER_10
transcript.pyannote[2701].start 13341.77721875
transcript.pyannote[2701].end 13342.57034375
transcript.pyannote[2702].speaker SPEAKER_10
transcript.pyannote[2702].start 13345.18596875
transcript.pyannote[2702].end 13351.44659375
transcript.pyannote[2703].speaker SPEAKER_10
transcript.pyannote[2703].start 13351.86846875
transcript.pyannote[2703].end 13358.51721875
transcript.pyannote[2704].speaker SPEAKER_10
transcript.pyannote[2704].start 13358.87159375
transcript.pyannote[2704].end 13368.89534375
transcript.pyannote[2705].speaker SPEAKER_10
transcript.pyannote[2705].start 13369.70534375
transcript.pyannote[2705].end 13370.81909375
transcript.pyannote[2706].speaker SPEAKER_11
transcript.pyannote[2706].start 13370.81909375
transcript.pyannote[2706].end 13370.86971875
transcript.pyannote[2707].speaker SPEAKER_11
transcript.pyannote[2707].start 13371.00471875
transcript.pyannote[2707].end 13371.81471875
transcript.pyannote[2708].speaker SPEAKER_11
transcript.pyannote[2708].start 13371.93284375
transcript.pyannote[2708].end 13394.96721875
transcript.pyannote[2709].speaker SPEAKER_00
transcript.pyannote[2709].start 13384.08284375
transcript.pyannote[2709].end 13384.50471875
transcript.pyannote[2710].speaker SPEAKER_10
transcript.pyannote[2710].start 13393.61721875
transcript.pyannote[2710].end 13397.19471875
transcript.pyannote[2711].speaker SPEAKER_11
transcript.pyannote[2711].start 13396.13159375
transcript.pyannote[2711].end 13396.36784375
transcript.pyannote[2712].speaker SPEAKER_11
transcript.pyannote[2712].start 13396.55346875
transcript.pyannote[2712].end 13402.83096875
transcript.pyannote[2713].speaker SPEAKER_10
transcript.pyannote[2713].start 13402.52721875
transcript.pyannote[2713].end 13405.04159375
transcript.pyannote[2714].speaker SPEAKER_11
transcript.pyannote[2714].start 13405.04159375
transcript.pyannote[2714].end 13411.21784375
transcript.pyannote[2715].speaker SPEAKER_10
transcript.pyannote[2715].start 13405.05846875
transcript.pyannote[2715].end 13405.58159375
transcript.pyannote[2716].speaker SPEAKER_10
transcript.pyannote[2716].start 13411.01534375
transcript.pyannote[2716].end 13412.78721875
transcript.pyannote[2717].speaker SPEAKER_11
transcript.pyannote[2717].start 13411.99409375
transcript.pyannote[2717].end 13418.25471875
transcript.pyannote[2718].speaker SPEAKER_10
transcript.pyannote[2718].start 13415.31846875
transcript.pyannote[2718].end 13415.65596875
transcript.pyannote[2719].speaker SPEAKER_10
transcript.pyannote[2719].start 13417.84971875
transcript.pyannote[2719].end 13421.84909375
transcript.pyannote[2720].speaker SPEAKER_10
transcript.pyannote[2720].start 13422.32159375
transcript.pyannote[2720].end 13427.35034375
transcript.pyannote[2721].speaker SPEAKER_10
transcript.pyannote[2721].start 13428.12659375
transcript.pyannote[2721].end 13441.66034375
transcript.pyannote[2722].speaker SPEAKER_09
transcript.pyannote[2722].start 13428.17721875
transcript.pyannote[2722].end 13429.93221875
transcript.pyannote[2723].speaker SPEAKER_11
transcript.pyannote[2723].start 13429.93221875
transcript.pyannote[2723].end 13429.96596875
transcript.pyannote[2724].speaker SPEAKER_09
transcript.pyannote[2724].start 13429.96596875
transcript.pyannote[2724].end 13430.03346875
transcript.pyannote[2725].speaker SPEAKER_11
transcript.pyannote[2725].start 13430.03346875
transcript.pyannote[2725].end 13430.15159375
transcript.pyannote[2726].speaker SPEAKER_09
transcript.pyannote[2726].start 13430.15159375
transcript.pyannote[2726].end 13430.18534375
transcript.pyannote[2727].speaker SPEAKER_03
transcript.pyannote[2727].start 13430.96159375
transcript.pyannote[2727].end 13431.02909375
transcript.pyannote[2728].speaker SPEAKER_09
transcript.pyannote[2728].start 13431.02909375
transcript.pyannote[2728].end 13431.06284375
transcript.pyannote[2729].speaker SPEAKER_11
transcript.pyannote[2729].start 13431.06284375
transcript.pyannote[2729].end 13431.23159375
transcript.pyannote[2730].speaker SPEAKER_11
transcript.pyannote[2730].start 13437.47534375
transcript.pyannote[2730].end 13442.31846875
transcript.pyannote[2731].speaker SPEAKER_10
transcript.pyannote[2731].start 13442.31846875
transcript.pyannote[2731].end 13451.24534375
transcript.pyannote[2732].speaker SPEAKER_10
transcript.pyannote[2732].start 13451.75159375
transcript.pyannote[2732].end 13468.86284375
transcript.pyannote[2733].speaker SPEAKER_11
transcript.pyannote[2733].start 13469.16659375
transcript.pyannote[2733].end 13481.02971875
transcript.pyannote[2734].speaker SPEAKER_10
transcript.pyannote[2734].start 13469.41971875
transcript.pyannote[2734].end 13471.61346875
transcript.pyannote[2735].speaker SPEAKER_10
transcript.pyannote[2735].start 13478.46471875
transcript.pyannote[2735].end 13479.59534375
transcript.pyannote[2736].speaker SPEAKER_10
transcript.pyannote[2736].start 13480.35471875
transcript.pyannote[2736].end 13490.69909375
transcript.pyannote[2737].speaker SPEAKER_11
transcript.pyannote[2737].start 13490.69909375
transcript.pyannote[2737].end 13498.37721875
transcript.pyannote[2738].speaker SPEAKER_10
transcript.pyannote[2738].start 13493.61846875
transcript.pyannote[2738].end 13494.47909375
transcript.pyannote[2739].speaker SPEAKER_06
transcript.pyannote[2739].start 13496.21721875
transcript.pyannote[2739].end 13496.23409375
transcript.pyannote[2740].speaker SPEAKER_10
transcript.pyannote[2740].start 13496.23409375
transcript.pyannote[2740].end 13496.62221875
transcript.pyannote[2741].speaker SPEAKER_06
transcript.pyannote[2741].start 13496.62221875
transcript.pyannote[2741].end 13496.63909375
transcript.pyannote[2742].speaker SPEAKER_06
transcript.pyannote[2742].start 13497.29721875
transcript.pyannote[2742].end 13497.63471875
transcript.pyannote[2743].speaker SPEAKER_06
transcript.pyannote[2743].start 13498.66409375
transcript.pyannote[2743].end 13500.67221875
transcript.pyannote[2744].speaker SPEAKER_06
transcript.pyannote[2744].start 13501.41471875
transcript.pyannote[2744].end 13522.44096875
transcript.pyannote[2745].speaker SPEAKER_04
transcript.pyannote[2745].start 13548.10784375
transcript.pyannote[2745].end 13549.87971875
transcript.pyannote[2746].speaker SPEAKER_06
transcript.pyannote[2746].start 13550.41971875
transcript.pyannote[2746].end 13551.60096875
transcript.pyannote[2747].speaker SPEAKER_04
transcript.pyannote[2747].start 13555.54971875
transcript.pyannote[2747].end 13556.25846875
transcript.pyannote[2748].speaker SPEAKER_04
transcript.pyannote[2748].start 13557.28784375
transcript.pyannote[2748].end 13562.38409375
transcript.pyannote[2749].speaker SPEAKER_04
transcript.pyannote[2749].start 13562.60346875
transcript.pyannote[2749].end 13565.55659375
transcript.pyannote[2750].speaker SPEAKER_04
transcript.pyannote[2750].start 13565.87721875
transcript.pyannote[2750].end 13566.26534375
transcript.pyannote[2751].speaker SPEAKER_04
transcript.pyannote[2751].start 13566.51846875
transcript.pyannote[2751].end 13571.96909375
transcript.pyannote[2752].speaker SPEAKER_09
transcript.pyannote[2752].start 13569.62346875
transcript.pyannote[2752].end 13570.36596875
transcript.pyannote[2753].speaker SPEAKER_04
transcript.pyannote[2753].start 13572.82971875
transcript.pyannote[2753].end 13575.69846875
transcript.pyannote[2754].speaker SPEAKER_04
transcript.pyannote[2754].start 13576.37346875
transcript.pyannote[2754].end 13578.88784375
transcript.pyannote[2755].speaker SPEAKER_09
transcript.pyannote[2755].start 13580.37284375
transcript.pyannote[2755].end 13580.49096875
transcript.pyannote[2756].speaker SPEAKER_04
transcript.pyannote[2756].start 13580.77784375
transcript.pyannote[2756].end 13584.60846875
transcript.pyannote[2757].speaker SPEAKER_04
transcript.pyannote[2757].start 13585.19909375
transcript.pyannote[2757].end 13600.55534375
transcript.pyannote[2758].speaker SPEAKER_08
transcript.pyannote[2758].start 13600.74096875
transcript.pyannote[2758].end 13600.79159375
transcript.pyannote[2759].speaker SPEAKER_04
transcript.pyannote[2759].start 13600.79159375
transcript.pyannote[2759].end 13600.89284375
transcript.pyannote[2760].speaker SPEAKER_08
transcript.pyannote[2760].start 13600.89284375
transcript.pyannote[2760].end 13601.01096875
transcript.pyannote[2761].speaker SPEAKER_04
transcript.pyannote[2761].start 13601.01096875
transcript.pyannote[2761].end 13602.74909375
transcript.pyannote[2762].speaker SPEAKER_08
transcript.pyannote[2762].start 13601.06159375
transcript.pyannote[2762].end 13601.09534375
transcript.pyannote[2763].speaker SPEAKER_08
transcript.pyannote[2763].start 13603.01909375
transcript.pyannote[2763].end 13603.40721875
transcript.pyannote[2764].speaker SPEAKER_04
transcript.pyannote[2764].start 13603.47471875
transcript.pyannote[2764].end 13604.87534375
transcript.pyannote[2765].speaker SPEAKER_04
transcript.pyannote[2765].start 13605.71909375
transcript.pyannote[2765].end 13606.51221875
transcript.pyannote[2766].speaker SPEAKER_04
transcript.pyannote[2766].start 13607.71034375
transcript.pyannote[2766].end 13608.77346875
transcript.pyannote[2767].speaker SPEAKER_04
transcript.pyannote[2767].start 13609.04346875
transcript.pyannote[2767].end 13613.17784375
transcript.pyannote[2768].speaker SPEAKER_04
transcript.pyannote[2768].start 13613.93721875
transcript.pyannote[2768].end 13615.33784375
transcript.pyannote[2769].speaker SPEAKER_04
transcript.pyannote[2769].start 13616.06346875
transcript.pyannote[2769].end 13617.00846875
transcript.pyannote[2770].speaker SPEAKER_04
transcript.pyannote[2770].start 13617.54846875
transcript.pyannote[2770].end 13619.42159375
transcript.pyannote[2771].speaker SPEAKER_04
transcript.pyannote[2771].start 13619.53971875
transcript.pyannote[2771].end 13620.83909375
transcript.pyannote[2772].speaker SPEAKER_04
transcript.pyannote[2772].start 13621.66596875
transcript.pyannote[2772].end 13622.44221875
transcript.pyannote[2773].speaker SPEAKER_04
transcript.pyannote[2773].start 13623.08346875
transcript.pyannote[2773].end 13635.19971875
transcript.pyannote[2774].speaker SPEAKER_04
transcript.pyannote[2774].start 13635.79034375
transcript.pyannote[2774].end 13637.89971875
transcript.pyannote[2775].speaker SPEAKER_04
transcript.pyannote[2775].start 13638.67596875
transcript.pyannote[2775].end 13644.21096875
transcript.pyannote[2776].speaker SPEAKER_04
transcript.pyannote[2776].start 13644.85221875
transcript.pyannote[2776].end 13648.10909375
transcript.pyannote[2777].speaker SPEAKER_04
transcript.pyannote[2777].start 13648.34534375
transcript.pyannote[2777].end 13650.37034375
transcript.pyannote[2778].speaker SPEAKER_04
transcript.pyannote[2778].start 13650.92721875
transcript.pyannote[2778].end 13651.80471875
transcript.pyannote[2779].speaker SPEAKER_04
transcript.pyannote[2779].start 13652.24346875
transcript.pyannote[2779].end 13662.79034375
transcript.pyannote[2780].speaker SPEAKER_04
transcript.pyannote[2780].start 13663.33034375
transcript.pyannote[2780].end 13665.94596875
transcript.pyannote[2781].speaker SPEAKER_04
transcript.pyannote[2781].start 13666.23284375
transcript.pyannote[2781].end 13668.35909375
transcript.pyannote[2782].speaker SPEAKER_04
transcript.pyannote[2782].start 13669.33784375
transcript.pyannote[2782].end 13673.43846875
transcript.pyannote[2783].speaker SPEAKER_04
transcript.pyannote[2783].start 13674.04596875
transcript.pyannote[2783].end 13675.21034375
transcript.pyannote[2784].speaker SPEAKER_04
transcript.pyannote[2784].start 13675.75034375
transcript.pyannote[2784].end 13676.32409375
transcript.pyannote[2785].speaker SPEAKER_04
transcript.pyannote[2785].start 13677.45471875
transcript.pyannote[2785].end 13683.15846875
transcript.pyannote[2786].speaker SPEAKER_08
transcript.pyannote[2786].start 13683.46221875
transcript.pyannote[2786].end 13683.78284375
transcript.pyannote[2787].speaker SPEAKER_04
transcript.pyannote[2787].start 13683.78284375
transcript.pyannote[2787].end 13685.99346875
transcript.pyannote[2788].speaker SPEAKER_04
transcript.pyannote[2788].start 13686.51659375
transcript.pyannote[2788].end 13688.59221875
transcript.pyannote[2789].speaker SPEAKER_04
transcript.pyannote[2789].start 13689.06471875
transcript.pyannote[2789].end 13689.90846875
transcript.pyannote[2790].speaker SPEAKER_08
transcript.pyannote[2790].start 13690.24596875
transcript.pyannote[2790].end 13690.56659375
transcript.pyannote[2791].speaker SPEAKER_04
transcript.pyannote[2791].start 13690.73534375
transcript.pyannote[2791].end 13691.32596875
transcript.pyannote[2792].speaker SPEAKER_04
transcript.pyannote[2792].start 13692.13596875
transcript.pyannote[2792].end 13694.49846875
transcript.pyannote[2793].speaker SPEAKER_08
transcript.pyannote[2793].start 13694.49846875
transcript.pyannote[2793].end 13694.58284375
transcript.pyannote[2794].speaker SPEAKER_04
transcript.pyannote[2794].start 13694.58284375
transcript.pyannote[2794].end 13695.94971875
transcript.pyannote[2795].speaker SPEAKER_04
transcript.pyannote[2795].start 13696.13534375
transcript.pyannote[2795].end 13696.40534375
transcript.pyannote[2796].speaker SPEAKER_04
transcript.pyannote[2796].start 13697.08034375
transcript.pyannote[2796].end 13699.42596875
transcript.pyannote[2797].speaker SPEAKER_04
transcript.pyannote[2797].start 13699.99971875
transcript.pyannote[2797].end 13709.31471875
transcript.pyannote[2798].speaker SPEAKER_04
transcript.pyannote[2798].start 13711.05284375
transcript.pyannote[2798].end 13713.34784375
transcript.pyannote[2799].speaker SPEAKER_04
transcript.pyannote[2799].start 13713.97221875
transcript.pyannote[2799].end 13721.93721875
transcript.pyannote[2800].speaker SPEAKER_04
transcript.pyannote[2800].start 13722.32534375
transcript.pyannote[2800].end 13723.08471875
transcript.pyannote[2801].speaker SPEAKER_04
transcript.pyannote[2801].start 13723.54034375
transcript.pyannote[2801].end 13725.12659375
transcript.pyannote[2802].speaker SPEAKER_04
transcript.pyannote[2802].start 13725.64971875
transcript.pyannote[2802].end 13727.33721875
transcript.pyannote[2803].speaker SPEAKER_04
transcript.pyannote[2803].start 13727.89409375
transcript.pyannote[2803].end 13730.81346875
transcript.pyannote[2804].speaker SPEAKER_04
transcript.pyannote[2804].start 13731.94409375
transcript.pyannote[2804].end 13733.86784375
transcript.pyannote[2805].speaker SPEAKER_04
transcript.pyannote[2805].start 13734.25596875
transcript.pyannote[2805].end 13736.71971875
transcript.pyannote[2806].speaker SPEAKER_04
transcript.pyannote[2806].start 13738.30596875
transcript.pyannote[2806].end 13739.68971875
transcript.pyannote[2807].speaker SPEAKER_04
transcript.pyannote[2807].start 13740.19596875
transcript.pyannote[2807].end 13747.70534375
transcript.pyannote[2808].speaker SPEAKER_04
transcript.pyannote[2808].start 13748.14409375
transcript.pyannote[2808].end 13752.26159375
transcript.pyannote[2809].speaker SPEAKER_04
transcript.pyannote[2809].start 13753.35846875
transcript.pyannote[2809].end 13762.21784375
transcript.pyannote[2810].speaker SPEAKER_04
transcript.pyannote[2810].start 13763.09534375
transcript.pyannote[2810].end 13776.76409375
transcript.pyannote[2811].speaker SPEAKER_04
transcript.pyannote[2811].start 13776.94971875
transcript.pyannote[2811].end 13779.71721875
transcript.pyannote[2812].speaker SPEAKER_04
transcript.pyannote[2812].start 13780.03784375
transcript.pyannote[2812].end 13784.10471875
transcript.pyannote[2813].speaker SPEAKER_04
transcript.pyannote[2813].start 13785.04971875
transcript.pyannote[2813].end 13786.90596875
transcript.pyannote[2814].speaker SPEAKER_19
transcript.pyannote[2814].start 13786.90596875
transcript.pyannote[2814].end 13787.32784375
transcript.pyannote[2815].speaker SPEAKER_04
transcript.pyannote[2815].start 13787.74971875
transcript.pyannote[2815].end 13793.79096875
transcript.pyannote[2816].speaker SPEAKER_04
transcript.pyannote[2816].start 13793.95971875
transcript.pyannote[2816].end 13796.32221875
transcript.pyannote[2817].speaker SPEAKER_04
transcript.pyannote[2817].start 13796.64284375
transcript.pyannote[2817].end 13799.29221875
transcript.pyannote[2818].speaker SPEAKER_04
transcript.pyannote[2818].start 13799.74784375
transcript.pyannote[2818].end 13805.89034375
transcript.pyannote[2819].speaker SPEAKER_04
transcript.pyannote[2819].start 13806.26159375
transcript.pyannote[2819].end 13807.27409375
transcript.pyannote[2820].speaker SPEAKER_04
transcript.pyannote[2820].start 13808.23596875
transcript.pyannote[2820].end 13808.94471875
transcript.pyannote[2821].speaker SPEAKER_04
transcript.pyannote[2821].start 13809.26534375
transcript.pyannote[2821].end 13810.44659375
transcript.pyannote[2822].speaker SPEAKER_04
transcript.pyannote[2822].start 13810.96971875
transcript.pyannote[2822].end 13811.66159375
transcript.pyannote[2823].speaker SPEAKER_04
transcript.pyannote[2823].start 13812.58971875
transcript.pyannote[2823].end 13813.50096875
transcript.pyannote[2824].speaker SPEAKER_04
transcript.pyannote[2824].start 13814.46284375
transcript.pyannote[2824].end 13815.34034375
transcript.pyannote[2825].speaker SPEAKER_04
transcript.pyannote[2825].start 13815.54284375
transcript.pyannote[2825].end 13816.55534375
transcript.pyannote[2826].speaker SPEAKER_04
transcript.pyannote[2826].start 13817.28096875
transcript.pyannote[2826].end 13818.17534375
transcript.pyannote[2827].speaker SPEAKER_04
transcript.pyannote[2827].start 13818.81659375
transcript.pyannote[2827].end 13820.58846875
transcript.pyannote[2828].speaker SPEAKER_08
transcript.pyannote[2828].start 13820.74034375
transcript.pyannote[2828].end 13821.06096875
transcript.pyannote[2829].speaker SPEAKER_04
transcript.pyannote[2829].start 13821.28034375
transcript.pyannote[2829].end 13824.19971875
transcript.pyannote[2830].speaker SPEAKER_04
transcript.pyannote[2830].start 13824.65534375
transcript.pyannote[2830].end 13825.68471875
transcript.pyannote[2831].speaker SPEAKER_04
transcript.pyannote[2831].start 13826.29221875
transcript.pyannote[2831].end 13826.66346875
transcript.pyannote[2832].speaker SPEAKER_04
transcript.pyannote[2832].start 13827.08534375
transcript.pyannote[2832].end 13829.11034375
transcript.pyannote[2833].speaker SPEAKER_04
transcript.pyannote[2833].start 13829.38034375
transcript.pyannote[2833].end 13829.44784375
transcript.pyannote[2834].speaker SPEAKER_04
transcript.pyannote[2834].start 13830.15659375
transcript.pyannote[2834].end 13833.61596875
transcript.pyannote[2835].speaker SPEAKER_04
transcript.pyannote[2835].start 13834.66221875
transcript.pyannote[2835].end 13838.00346875
transcript.pyannote[2836].speaker SPEAKER_04
transcript.pyannote[2836].start 13838.61096875
transcript.pyannote[2836].end 13841.76659375
transcript.pyannote[2837].speaker SPEAKER_04
transcript.pyannote[2837].start 13842.52596875
transcript.pyannote[2837].end 13843.30221875
transcript.pyannote[2838].speaker SPEAKER_04
transcript.pyannote[2838].start 13843.79159375
transcript.pyannote[2838].end 13866.60659375
transcript.pyannote[2839].speaker SPEAKER_04
transcript.pyannote[2839].start 13866.96096875
transcript.pyannote[2839].end 13869.61034375
transcript.pyannote[2840].speaker SPEAKER_04
transcript.pyannote[2840].start 13870.31909375
transcript.pyannote[2840].end 13878.90846875
transcript.pyannote[2841].speaker SPEAKER_04
transcript.pyannote[2841].start 13879.54971875
transcript.pyannote[2841].end 13880.05596875
transcript.pyannote[2842].speaker SPEAKER_19
transcript.pyannote[2842].start 13880.57909375
transcript.pyannote[2842].end 13880.88284375
transcript.pyannote[2843].speaker SPEAKER_04
transcript.pyannote[2843].start 13880.96721875
transcript.pyannote[2843].end 13883.16096875
transcript.pyannote[2844].speaker SPEAKER_04
transcript.pyannote[2844].start 13883.71784375
transcript.pyannote[2844].end 13892.22284375
transcript.pyannote[2845].speaker SPEAKER_04
transcript.pyannote[2845].start 13893.33659375
transcript.pyannote[2845].end 13894.02846875
transcript.pyannote[2846].speaker SPEAKER_04
transcript.pyannote[2846].start 13894.61909375
transcript.pyannote[2846].end 13896.05346875
transcript.pyannote[2847].speaker SPEAKER_04
transcript.pyannote[2847].start 13896.34034375
transcript.pyannote[2847].end 13898.23034375
transcript.pyannote[2848].speaker SPEAKER_08
transcript.pyannote[2848].start 13896.40784375
transcript.pyannote[2848].end 13896.72846875
transcript.pyannote[2849].speaker SPEAKER_04
transcript.pyannote[2849].start 13898.53409375
transcript.pyannote[2849].end 13898.73659375
transcript.pyannote[2850].speaker SPEAKER_04
transcript.pyannote[2850].start 13899.14159375
transcript.pyannote[2850].end 13901.30159375
transcript.pyannote[2851].speaker SPEAKER_04
transcript.pyannote[2851].start 13902.24659375
transcript.pyannote[2851].end 13902.88784375
transcript.pyannote[2852].speaker SPEAKER_04
transcript.pyannote[2852].start 13904.01846875
transcript.pyannote[2852].end 13905.65534375
transcript.pyannote[2853].speaker SPEAKER_04
transcript.pyannote[2853].start 13906.54971875
transcript.pyannote[2853].end 13907.74784375
transcript.pyannote[2854].speaker SPEAKER_04
transcript.pyannote[2854].start 13908.52409375
transcript.pyannote[2854].end 13910.24534375
transcript.pyannote[2855].speaker SPEAKER_04
transcript.pyannote[2855].start 13911.59534375
transcript.pyannote[2855].end 13912.27034375
transcript.pyannote[2856].speaker SPEAKER_04
transcript.pyannote[2856].start 13912.96221875
transcript.pyannote[2856].end 13917.94034375
transcript.pyannote[2857].speaker SPEAKER_04
transcript.pyannote[2857].start 13920.01596875
transcript.pyannote[2857].end 13922.19284375
transcript.pyannote[2858].speaker SPEAKER_04
transcript.pyannote[2858].start 13922.83409375
transcript.pyannote[2858].end 13925.92221875
transcript.pyannote[2859].speaker SPEAKER_04
transcript.pyannote[2859].start 13926.71534375
transcript.pyannote[2859].end 13928.35221875
transcript.pyannote[2860].speaker SPEAKER_04
transcript.pyannote[2860].start 13928.48721875
transcript.pyannote[2860].end 13930.19159375
transcript.pyannote[2861].speaker SPEAKER_04
transcript.pyannote[2861].start 13931.08596875
transcript.pyannote[2861].end 13939.45596875
transcript.pyannote[2862].speaker SPEAKER_04
transcript.pyannote[2862].start 13939.81034375
transcript.pyannote[2862].end 13945.21034375
transcript.pyannote[2863].speaker SPEAKER_04
transcript.pyannote[2863].start 13945.41284375
transcript.pyannote[2863].end 13947.47159375
transcript.pyannote[2864].speaker SPEAKER_04
transcript.pyannote[2864].start 13947.97784375
transcript.pyannote[2864].end 13949.12534375
transcript.pyannote[2865].speaker SPEAKER_04
transcript.pyannote[2865].start 13949.71596875
transcript.pyannote[2865].end 13955.08221875
transcript.pyannote[2866].speaker SPEAKER_04
transcript.pyannote[2866].start 13956.29721875
transcript.pyannote[2866].end 13956.71909375
transcript.pyannote[2867].speaker SPEAKER_04
transcript.pyannote[2867].start 13957.46159375
transcript.pyannote[2867].end 13958.65971875
transcript.pyannote[2868].speaker SPEAKER_19
transcript.pyannote[2868].start 13959.06471875
transcript.pyannote[2868].end 13959.26721875
transcript.pyannote[2869].speaker SPEAKER_04
transcript.pyannote[2869].start 13959.97596875
transcript.pyannote[2869].end 13963.73909375
transcript.pyannote[2870].speaker SPEAKER_04
transcript.pyannote[2870].start 13963.97534375
transcript.pyannote[2870].end 13964.59971875
transcript.pyannote[2871].speaker SPEAKER_04
transcript.pyannote[2871].start 13965.19034375
transcript.pyannote[2871].end 13965.98346875
transcript.pyannote[2872].speaker SPEAKER_04
transcript.pyannote[2872].start 13966.86096875
transcript.pyannote[2872].end 13969.94909375
transcript.pyannote[2873].speaker SPEAKER_04
transcript.pyannote[2873].start 13970.64096875
transcript.pyannote[2873].end 13973.57721875
transcript.pyannote[2874].speaker SPEAKER_08
transcript.pyannote[2874].start 13973.57721875
transcript.pyannote[2874].end 13973.91471875
transcript.pyannote[2875].speaker SPEAKER_04
transcript.pyannote[2875].start 13974.30284375
transcript.pyannote[2875].end 13974.64034375
transcript.pyannote[2876].speaker SPEAKER_04
transcript.pyannote[2876].start 13974.87659375
transcript.pyannote[2876].end 13977.72846875
transcript.pyannote[2877].speaker SPEAKER_04
transcript.pyannote[2877].start 13978.67346875
transcript.pyannote[2877].end 13980.36096875
transcript.pyannote[2878].speaker SPEAKER_04
transcript.pyannote[2878].start 13980.39471875
transcript.pyannote[2878].end 13982.77409375
transcript.pyannote[2879].speaker SPEAKER_04
transcript.pyannote[2879].start 13984.24221875
transcript.pyannote[2879].end 13985.23784375
transcript.pyannote[2880].speaker SPEAKER_04
transcript.pyannote[2880].start 13986.55409375
transcript.pyannote[2880].end 13986.72284375
transcript.pyannote[2881].speaker SPEAKER_04
transcript.pyannote[2881].start 13987.43159375
transcript.pyannote[2881].end 13989.33846875
transcript.pyannote[2882].speaker SPEAKER_04
transcript.pyannote[2882].start 13989.91221875
transcript.pyannote[2882].end 13991.63346875
transcript.pyannote[2883].speaker SPEAKER_04
transcript.pyannote[2883].start 13992.54471875
transcript.pyannote[2883].end 13994.01284375
transcript.pyannote[2884].speaker SPEAKER_04
transcript.pyannote[2884].start 13995.34596875
transcript.pyannote[2884].end 13996.18971875
transcript.pyannote[2885].speaker SPEAKER_04
transcript.pyannote[2885].start 13996.35846875
transcript.pyannote[2885].end 14000.71221875
transcript.pyannote[2886].speaker SPEAKER_04
transcript.pyannote[2886].start 14001.33659375
transcript.pyannote[2886].end 14002.60221875
transcript.pyannote[2887].speaker SPEAKER_04
transcript.pyannote[2887].start 14003.09159375
transcript.pyannote[2887].end 14003.76659375
transcript.pyannote[2888].speaker SPEAKER_04
transcript.pyannote[2888].start 14004.64409375
transcript.pyannote[2888].end 14006.16284375
transcript.pyannote[2889].speaker SPEAKER_04
transcript.pyannote[2889].start 14006.34846875
transcript.pyannote[2889].end 14007.09096875
transcript.pyannote[2890].speaker SPEAKER_04
transcript.pyannote[2890].start 14008.54221875
transcript.pyannote[2890].end 14009.41971875
transcript.pyannote[2891].speaker SPEAKER_04
transcript.pyannote[2891].start 14009.57159375
transcript.pyannote[2891].end 14012.60909375
transcript.pyannote[2892].speaker SPEAKER_04
transcript.pyannote[2892].start 14012.79471875
transcript.pyannote[2892].end 14016.67596875
transcript.pyannote[2893].speaker SPEAKER_04
transcript.pyannote[2893].start 14017.55346875
transcript.pyannote[2893].end 14017.94159375
transcript.pyannote[2894].speaker SPEAKER_04
transcript.pyannote[2894].start 14019.69659375
transcript.pyannote[2894].end 14020.48971875
transcript.pyannote[2895].speaker SPEAKER_04
transcript.pyannote[2895].start 14020.81034375
transcript.pyannote[2895].end 14022.64971875
transcript.pyannote[2896].speaker SPEAKER_09
transcript.pyannote[2896].start 14020.86096875
transcript.pyannote[2896].end 14021.26596875
transcript.pyannote[2897].speaker SPEAKER_04
transcript.pyannote[2897].start 14023.57784375
transcript.pyannote[2897].end 14024.11784375
transcript.pyannote[2898].speaker SPEAKER_04
transcript.pyannote[2898].start 14024.57346875
transcript.pyannote[2898].end 14026.34534375
transcript.pyannote[2899].speaker SPEAKER_04
transcript.pyannote[2899].start 14026.69971875
transcript.pyannote[2899].end 14028.40409375
transcript.pyannote[2900].speaker SPEAKER_04
transcript.pyannote[2900].start 14029.12971875
transcript.pyannote[2900].end 14030.59784375
transcript.pyannote[2901].speaker SPEAKER_04
transcript.pyannote[2901].start 14031.25596875
transcript.pyannote[2901].end 14042.41034375
transcript.pyannote[2902].speaker SPEAKER_04
transcript.pyannote[2902].start 14042.73096875
transcript.pyannote[2902].end 14043.62534375
transcript.pyannote[2903].speaker SPEAKER_08
transcript.pyannote[2903].start 14043.67596875
transcript.pyannote[2903].end 14044.11471875
transcript.pyannote[2904].speaker SPEAKER_04
transcript.pyannote[2904].start 14044.11471875
transcript.pyannote[2904].end 14045.70096875
transcript.pyannote[2905].speaker SPEAKER_04
transcript.pyannote[2905].start 14045.81909375
transcript.pyannote[2905].end 14047.16909375
transcript.pyannote[2906].speaker SPEAKER_04
transcript.pyannote[2906].start 14049.36284375
transcript.pyannote[2906].end 14049.75096875
transcript.pyannote[2907].speaker SPEAKER_04
transcript.pyannote[2907].start 14050.25721875
transcript.pyannote[2907].end 14051.84346875
transcript.pyannote[2908].speaker SPEAKER_04
transcript.pyannote[2908].start 14052.09659375
transcript.pyannote[2908].end 14053.66596875
transcript.pyannote[2909].speaker SPEAKER_04
transcript.pyannote[2909].start 14054.22284375
transcript.pyannote[2909].end 14055.85971875
transcript.pyannote[2910].speaker SPEAKER_04
transcript.pyannote[2910].start 14056.46721875
transcript.pyannote[2910].end 14057.09159375
transcript.pyannote[2911].speaker SPEAKER_04
transcript.pyannote[2911].start 14057.49659375
transcript.pyannote[2911].end 14060.92221875
transcript.pyannote[2912].speaker SPEAKER_04
transcript.pyannote[2912].start 14061.37784375
transcript.pyannote[2912].end 14064.09471875
transcript.pyannote[2913].speaker SPEAKER_04
transcript.pyannote[2913].start 14064.43221875
transcript.pyannote[2913].end 14067.25034375
transcript.pyannote[2914].speaker SPEAKER_04
transcript.pyannote[2914].start 14067.97596875
transcript.pyannote[2914].end 14071.45221875
transcript.pyannote[2915].speaker SPEAKER_04
transcript.pyannote[2915].start 14071.73909375
transcript.pyannote[2915].end 14080.02471875
transcript.pyannote[2916].speaker SPEAKER_04
transcript.pyannote[2916].start 14080.81784375
transcript.pyannote[2916].end 14083.73721875
transcript.pyannote[2917].speaker SPEAKER_04
transcript.pyannote[2917].start 14084.12534375
transcript.pyannote[2917].end 14084.27721875
transcript.pyannote[2918].speaker SPEAKER_04
transcript.pyannote[2918].start 14084.95221875
transcript.pyannote[2918].end 14086.63971875
transcript.pyannote[2919].speaker SPEAKER_04
transcript.pyannote[2919].start 14087.97284375
transcript.pyannote[2919].end 14088.90096875
transcript.pyannote[2920].speaker SPEAKER_04
transcript.pyannote[2920].start 14089.86284375
transcript.pyannote[2920].end 14099.24534375
transcript.pyannote[2921].speaker SPEAKER_04
transcript.pyannote[2921].start 14100.42659375
transcript.pyannote[2921].end 14101.38846875
transcript.pyannote[2922].speaker SPEAKER_04
transcript.pyannote[2922].start 14101.74284375
transcript.pyannote[2922].end 14107.56471875
transcript.pyannote[2923].speaker SPEAKER_04
transcript.pyannote[2923].start 14108.44221875
transcript.pyannote[2923].end 14112.84659375
transcript.pyannote[2924].speaker SPEAKER_04
transcript.pyannote[2924].start 14114.14596875
transcript.pyannote[2924].end 14124.69284375
transcript.pyannote[2925].speaker SPEAKER_04
transcript.pyannote[2925].start 14124.92909375
transcript.pyannote[2925].end 14129.01284375
transcript.pyannote[2926].speaker SPEAKER_04
transcript.pyannote[2926].start 14129.65409375
transcript.pyannote[2926].end 14130.68346875
transcript.pyannote[2927].speaker SPEAKER_08
transcript.pyannote[2927].start 14130.68346875
transcript.pyannote[2927].end 14131.08846875
transcript.pyannote[2928].speaker SPEAKER_04
transcript.pyannote[2928].start 14131.15596875
transcript.pyannote[2928].end 14140.35284375
transcript.pyannote[2929].speaker SPEAKER_04
transcript.pyannote[2929].start 14140.79159375
transcript.pyannote[2929].end 14171.31846875
transcript.pyannote[2930].speaker SPEAKER_20
transcript.pyannote[2930].start 14154.73034375
transcript.pyannote[2930].end 14156.21534375
transcript.pyannote[2931].speaker SPEAKER_20
transcript.pyannote[2931].start 14171.45346875
transcript.pyannote[2931].end 14204.95034375
transcript.pyannote[2932].speaker SPEAKER_04
transcript.pyannote[2932].start 14204.30909375
transcript.pyannote[2932].end 14212.54409375
transcript.pyannote[2933].speaker SPEAKER_20
transcript.pyannote[2933].start 14206.72221875
transcript.pyannote[2933].end 14206.94159375
transcript.pyannote[2934].speaker SPEAKER_04
transcript.pyannote[2934].start 14212.57784375
transcript.pyannote[2934].end 14235.13971875
transcript.pyannote[2935].speaker SPEAKER_04
transcript.pyannote[2935].start 14235.86534375
transcript.pyannote[2935].end 14252.18346875
transcript.pyannote[2936].speaker SPEAKER_06
transcript.pyannote[2936].start 14252.99346875
transcript.pyannote[2936].end 14255.06909375
transcript.pyannote[2937].speaker SPEAKER_06
transcript.pyannote[2937].start 14256.67221875
transcript.pyannote[2937].end 14260.78971875
transcript.pyannote[2938].speaker SPEAKER_06
transcript.pyannote[2938].start 14260.90784375
transcript.pyannote[2938].end 14261.02596875
transcript.pyannote[2939].speaker SPEAKER_06
transcript.pyannote[2939].start 14261.07659375
transcript.pyannote[2939].end 14263.82721875
transcript.pyannote[2940].speaker SPEAKER_06
transcript.pyannote[2940].start 14264.60346875
transcript.pyannote[2940].end 14265.86909375
transcript.pyannote[2941].speaker SPEAKER_06
transcript.pyannote[2941].start 14266.37534375
transcript.pyannote[2941].end 14271.04971875
transcript.pyannote[2942].speaker SPEAKER_06
transcript.pyannote[2942].start 14271.45471875
transcript.pyannote[2942].end 14274.54284375
transcript.pyannote[2943].speaker SPEAKER_06
transcript.pyannote[2943].start 14275.40346875
transcript.pyannote[2943].end 14285.79846875
transcript.whisperx[0].start 1725.405
transcript.whisperx[0].end 1751.851
transcript.whisperx[0].text 現在繼續開會請議事人員宣讀今日議程邀請行政院主計總處陳主計長淑芝 審計部陳審計長瑞敏率所屬單位主管列席業務報告並被質詢宣讀完畢今日議程我們先介紹在場的委員吳秉瑞委員還有林德福委員
transcript.whisperx[1].start 1756.667
transcript.whisperx[1].end 1781.326
transcript.whisperx[1].text 好 那我們來介紹今天的與會的政府官員首先介紹行政院主計總處主計長陳淑芝主任秘書李奕鈞綜合規劃處處長陳梅英公務預算處處長徐永毅基金預算處處長潘清紅會計決算處處長許一娟
transcript.whisperx[2].start 1788.391
transcript.whisperx[2].end 1816.457
transcript.whisperx[2].text 综合统计处处长蔡玉泰国事普查处处长潘宁鑫主计资讯处处长吴淑慧人事处处长刘永慧秘书是主任张嘉瑜甄峰是主任陈美伦主计是主任詹英军接下来我们介绍审计部审计长陈瑞敏
transcript.whisperx[3].start 1819.107
transcript.whisperx[3].end 1844.095
transcript.whisperx[3].text 主任秘書 林建志第一廳廳長 周瓊怡第二廳廳長 陳振翁第三廳廳長 張志乾第四廳廳長 張國清第五廳廳長 陸冠聖第六廳廳長 葉迎池副省市主任 王挺龍
transcript.whisperx[4].start 1846.792
transcript.whisperx[4].end 1874.642
transcript.whisperx[4].text 审计业务研究委员会执行秘书温中元审计人员训练委员会执行秘书张梅玉关键审计议题发展委员会执行秘书朱韵文资讯处处长邱团宝总务处处长肖瑞勇人事室主任黄炳黄会计室主任王雪玲
transcript.whisperx[5].start 1878.277
transcript.whisperx[5].end 1895.003
transcript.whisperx[5].text 政風市主任黃繼德教育農林審計處處長林聖賢交通建設審計處處長李奕勳好 接下來介紹台北市審計處處長洪春喜新北市審計處處長張喜榮桃園市審計處處長張漢清台中市審計處處長吳景祥
transcript.whisperx[6].start 1907.725
transcript.whisperx[6].end 1935.913
transcript.whisperx[6].text 台南市審計處處長王文柱高雄市審計處處長陳三明基隆市審計室主任吳婉瑜宜蘭縣審計室主任劉麗玲新竹縣審計室主任黃美蘭新竹市審計室主任郭麗玲苗栗縣審計室主任楊立芬彰化縣審計室主任謝淑芬
transcript.whisperx[7].start 1937.697
transcript.whisperx[7].end 1958.085
transcript.whisperx[7].text 南投縣審計師主任李景梅雲林縣審計師主任楊美冠嘉義縣審計師主任陳信惠嘉義市審計師主任魏士儒屏東縣審計師主任李雪梅花蓮縣審計師主任邱燦興台東縣審計師主任蔣文新澎湖縣審計師主任莊淑美金門縣審計師主任吳維鈺
transcript.whisperx[8].start 1969.065
transcript.whisperx[8].end 1982.743
transcript.whisperx[8].text 今日已成安排邀请行政院主纪总处及审计部列席业务报告那我们现在请行政院主纪总处陈主纪长进行业务报告那请主纪长这个业务报告简单扼要就好好谢谢
transcript.whisperx[9].start 1988.379
transcript.whisperx[9].end 2011.551
transcript.whisperx[9].text 主席各位委員女士及先生今天1號列席貴委員會報告本總處業務概況自感榮幸本總處負責政府預算會計決算統計調查及主計資訊業務以下僅重要業務辦理情形提出報告敬請各位委員指教在預算業務的方面編制完成114年度中央總預算追加預算案
transcript.whisperx[10].start 2013.713
transcript.whisperx[10].end 2032.627
transcript.whisperx[10].text 經貴院審議通過114年中央總預算追加預算案在8月29經貴院審議審議減列59億改列819億然後以原預算的收支剩餘彌平那本年度中央政府總預算稅入維持3兆1648億稅出增為3兆069億元
transcript.whisperx[11].start 2037.771
transcript.whisperx[11].end 2054.824
transcript.whisperx[11].text 稅率稅出剩以1579億扣除債務反本1415億收支剩於164億第二個編制完成115年度中央總預算案送請大院來審議那115年度總預算案主要是配合行政院施政方針
transcript.whisperx[12].start 2055.644
transcript.whisperx[12].end 2071.504
transcript.whisperx[12].text 将资源配置在均衡台湾基础建设跨域创新完备社会安全体系打造健康台湾强化国防安全参与国际社会等单纯施政重点那主要边税入是两兆8682亿税出三兆零
transcript.whisperx[13].start 2072.205
transcript.whisperx[13].end 2088.586
transcript.whisperx[13].text 三百五十億稅率稅出差短一千七百二十七連同在完本一千兩百六十五億以後供需融資兩千九百九十二億元全數以舉借債務予以彌品三完成一百一十五年政府總預算案附屬單位預算局中計表
transcript.whisperx[14].start 2090.288
transcript.whisperx[14].end 2094.255
transcript.whisperx[14].text 這個部分115年編列總收入基金是7,3258億總支出是7,0764億淨利2,494億元及繳庫2,323億元
transcript.whisperx[15].start 2104.158
transcript.whisperx[15].end 2117.946
transcript.whisperx[15].text 那第四個完成編制中央政府丹納斯颱風和728豪雨災後一個復原重建主要是編列最初編列600億元那施行期間是從今年的8月19到115年的12月31
transcript.whisperx[16].start 2122.356
transcript.whisperx[16].end 2141.581
transcript.whisperx[16].text 本次這個案子全數舉借債務支應金大約在8月29完成三讀審議的一個程序全數照列五是編制完成中央政府因應國際強勢強化經濟社會及民生國安任性特別預算案這個部分因為這個部分我們在施行期限是
transcript.whisperx[17].start 2143.701
transcript.whisperx[17].end 2169.722
transcript.whisperx[17].text 今年3月12到116年12月31總共編列5500億元預留後續編列額度200億元那所需要的裁員主要是遺用以前年度稅基剩以4444億及舉借債務1056億元之印那已於9月11號送請大院來審議那各位6到11月的一個付表請參院然後請翻到12月
transcript.whisperx[18].start 2173.356
transcript.whisperx[18].end 2189.744
transcript.whisperx[18].text 主要是會計決算業務的部分會編113年度總決算附屬單位決算中計表然後還有中央政府前瞻建設基礎計畫第四期特別決算經省計部在今年的7月29日完成審定
transcript.whisperx[19].start 2190.724
transcript.whisperx[19].end 2211.351
transcript.whisperx[19].text 那第二個是深化政府內部控制一個監督機制協助機關落實內部控制自我監督維持機關內部控制有效性達成施政目標根據半年內部控制監督教育訓練並持續輔導行政院所屬各機關學校每年簽署內部控制書以深化機關內部控制監督各項作業
transcript.whisperx[20].start 2212.611
transcript.whisperx[20].end 2229.164
transcript.whisperx[20].text 那三統計調查業務的部分辦理國民所的統計那本年第二季的經濟成長率為8.01主要是人工智慧和高速運算等科技應用需求應欠實質輸出實質大幅成長35.02資本形成也隨新興
transcript.whisperx[21].start 2232.626
transcript.whisperx[21].end 2236.008
transcript.whisperx[21].text 實質成長4.87那民間校會實質成長0.49%上半年成長高達6.75%展望本年和下半年115年
transcript.whisperx[22].start 2247.351
transcript.whisperx[22].end 2267.445
transcript.whisperx[22].text 115年因為AI信心持續強勁所以將我製造業顯著提升帶動我國出國主力的一個電子零組件通知通訊產業擴增所以這一個部分我們本年下半年的經濟成長預估大概是2.3那前年成長大概估約4.45%115年成長約2.81%那辦理物價統計的部分那我們
transcript.whisperx[23].start 2275.771
transcript.whisperx[23].end 2284.458
transcript.whisperx[23].text 本年一到九月的消費者物價指數同期漲1.77%以實物漲3.51%影響最大核心CPI1.62那對於民眾對物價上漲感受較深刻經常購買的項目是每個月至少購買一次上漲2.74那明顯高於整體CPI的一個漲幅
transcript.whisperx[24].start 2300.865
transcript.whisperx[24].end 2322.218
transcript.whisperx[24].text 那本年1到9月的PPI生產者物價指數是去年比去年同期下跌1.53主要是油品化學材料和基本金屬隨國際行情而左跌那請看第27頁辦理人力供需各項抽樣調查本處按月辦理人力資源調查和受僱員工薪資調查
transcript.whisperx[25].start 2322.918
transcript.whisperx[25].end 2339.422
transcript.whisperx[25].text 以起始提供最新的勞動市場供需還有員工勞動報酬調薪情形等資訊並運用相關的公務大數據去編算國人赴海外工作人數統計和薪資中位數的一個統計充實就業和薪資的一個統計的一個內涵
transcript.whisperx[26].start 2341.363
transcript.whisperx[26].end 2357.706
transcript.whisperx[26].text 那114年1到8月的工業和服務業每個受雇員工經常性薪資平均是4.47709比113年同期增加2.98那如果扣除物價因素還成長1.12%那實質中位數的部分是38217元年增2.79那扣除那個
transcript.whisperx[27].start 2366.709
transcript.whisperx[27].end 2392.787
transcript.whisperx[27].text 物價之後實質成長0.94那請看第20頁辦理基本國師調查是建立整體國家基本情勢基礎性發揮統計資源決策的功能所以114年我們辦理農林普查方案或行政院核定並分期相關機關配合辦理現在正辦理準備的一個工作並研擬115年工業服務業普查的相關的構想和方案
transcript.whisperx[28].start 2393.427
transcript.whisperx[28].end 2414.135
transcript.whisperx[28].text 那五 辦理家庭收支調查的統計是未了解全體家庭收支概況按年辦理家庭收支調查113年調查結果每份可知倍所的高低將複數分為五組觀察最高20%家庭和最低20%家庭所的差距是6.14倍比112年略增0.02倍基尼係數是0.341比112年為增0.01
transcript.whisperx[29].start 2421.038
transcript.whisperx[29].end 2443.544
transcript.whisperx[29].text 那令政府移轉支出改善所得差距達1.24倍如果不計移轉支出所得差距將為7.38倍那以戶為單位衡量家庭所得易受戶內人數消長來影響所以以美人觀察我國美人可支配所得的差距數是113年是3.92倍比112年度增零點
transcript.whisperx[30].start 2445.805
transcript.whisperx[30].end 2455.65
transcript.whisperx[30].text 4 主計資訊業務的部分 辦理中央地方相關一個預算會計資訊業務中央政府稅劇會計資訊系統特種基金稅劇會計資訊系統地方政府稅劇會計資訊系統等以協助各機關完成115年度總預算案和附屬單位預算案還有113年度總決算還有附屬單位決算編制作業並完成中央特種基金會計
transcript.whisperx[31].start 2472.419
transcript.whisperx[31].end 2485.633
transcript.whisperx[31].text 書表的一個電子化傳輸正式散線本處已經建置中央政府總預算查詢服務提供中央政府各機關辦理預算資料公開作業
transcript.whisperx[32].start 2486.872
transcript.whisperx[32].end 2495.615
transcript.whisperx[32].text 二 辦理統計普查及資料倉儲和開放業務為提升統計普查作業效率及資料品質並辦理普查抽查模體地址整編114年農林榆木業普查試驗調查115年工研和服務業普查一個調查的網路填報相關系統我們徵修作業那經濟我們足跡資訊倉儲的一個系統推動資料治理並確保機敏資料的安全
transcript.whisperx[33].start 2516.323
transcript.whisperx[33].end 2538.891
transcript.whisperx[33].text 所以我們的開放預算決算和統計資料累計一千九百三十六六項至上線後就有兩百七十七萬餘人瀏覽十七萬餘人下載至於大院第十一屆第三會期第四次貴委員會會議主辦事項我們均以答覆貴委員會和相關委員在案
transcript.whisperx[34].start 2539.451
transcript.whisperx[34].end 2553.963
transcript.whisperx[34].text 以上為本總署近期工作推展請請今後將持續精進主計業務發揮主計資源施政決策效能協助推動各項業務敬請各位委員女士先生鼎力支持祝大家健康快樂萬事如意謝謝謝謝我們陳主計長接下來我們請審計部陳審計長進行業務報告那一樣審計長請簡明扼要就好謝謝
transcript.whisperx[35].start 2570.819
transcript.whisperx[35].end 2595.13
transcript.whisperx[35].text 主席 各位委員 理事先生今天應邀列席貴委員會報告審計部A5報告A5概況 自展榮幸本部依法掌理政府及所使機關財務之審計多年來成名大院委員的支持與鼓勵各項審計工作均能按照計畫執行藉此競表由衷的感謝114年度依法審核中央和地方7976個機關單位
transcript.whisperx[36].start 2599.028
transcript.whisperx[36].end 2605.566
transcript.whisperx[36].text 收支金額二十七兆一元之執行之將審計業務辦理概況檢調報告之下
transcript.whisperx[37].start 2607.942
transcript.whisperx[37].end 2629.258
transcript.whisperx[37].text 依114年度重要業務辦理情形依完成113年度總結算及特別結算之審核113年度中央政府總結算即副使單位結算及重計表中央政府全章基礎建設計畫第七期特別結算本部依依憲法第105條規定期限完成審核
transcript.whisperx[38].start 2630.419
transcript.whisperx[38].end 2638.776
transcript.whisperx[38].text 各縣市政府的年度總決算易經各地方審計次數在法定期限內完成審核提出重要審核意見2456項
transcript.whisperx[39].start 2644.855
transcript.whisperx[39].end 2658.534
transcript.whisperx[39].text 在審計綜合績效方面114年度構想審計業務執行結果截至8月抵止審核113年度決算依法修正稅入稅出決算增列16億元減列16億元
transcript.whisperx[40].start 2662.914
transcript.whisperx[40].end 2682.368
transcript.whisperx[40].text 依法修正稅出租出決算增累42億元減累54億元績效性損失考核各機關績效報告監察案者40項提出重要改善意見者341項任何有可提升效能及增進公共利益提出建議意見1013項提出議警性意見232項
transcript.whisperx[41].start 2688.911
transcript.whisperx[41].end 2714.602
transcript.whisperx[41].text 稽查財務上支維持報請監察院處理移送及移送司法機關偵辦者五項通知各機關查明處理者八十案三更系優化審核報告編報架構及報導方式一除去順化重要施政議題之查核專章二並以專章編會編行政機關優良實務案例推管扣算情形三
transcript.whisperx[42].start 2716.443
transcript.whisperx[42].end 2744.984
transcript.whisperx[42].text 優化總結算審核報告資訊揭露四 積極推動數位審計發展與應用開發政府審計整合系統推動多元試劑整合破壞試劑中台三 應用人工智慧技術四 應用及新興資訊科技五 後足數位審計人力第五項更新強化審計功能及落實創新核心價值
transcript.whisperx[43].start 2746.522
transcript.whisperx[43].end 2773.816
transcript.whisperx[43].text 六 更新推展公民參與審計近三年度已完成專家諮詢四百六十處公開徵詢民眾意見鑑識計八十五案並發佈一百並發佈一千六百零六組的重要審計諮詢二 年度施政計畫及預算執行情形一百四十四年度施政計畫既有二十二項重要計畫項目均按一定規劃辦理
transcript.whisperx[44].start 2775.177
transcript.whisperx[44].end 2799.152
transcript.whisperx[44].text 二 本部及所屬一百一十四年度預算執行情形稅出部分截至八月底族累計分配市所獲益七千五百二十一萬餘元累計住戶市所獲益一千六百六十萬餘元佔分配市的百分之九十五點四一三 參大院第十一屆第三會期主重要事項之處理應四面答覆者七項
transcript.whisperx[45].start 2800.793
transcript.whisperx[45].end 2822.021
transcript.whisperx[45].text 與韓報大院財政委員會及相關委員 其以九項列為損盒參考損棄工作的主要目的在於促進政府健全財務政績以協助國家良善助理本部當除夕加強推動各項損棄業務以善盡損棄主軸以上報告請請主席 各位委員 女士 先生 主教 謝謝
transcript.whisperx[46].start 2824.393
transcript.whisperx[46].end 2843.569
transcript.whisperx[46].text 好 謝謝我們陳審計長那現在開始詢答先做一下宣告每位初期委員發言時間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點截止發言登記那現在依登記順序請登記第一位林德福委員質詢
transcript.whisperx[47].start 2868.011
transcript.whisperx[47].end 2875.637
transcript.whisperx[47].text 謝謝 謝謝主席是不是來請這個主席長 陳主席長好 我們請主席長委員好主席長你好 我請教因為賴總統在國慶演說時表示台灣今年的經濟成長率
transcript.whisperx[48].start 2890.213
transcript.whisperx[48].end 2904.58
transcript.whisperx[48].text 這個預測值反而從3.3%大幅調到5.1%是亞洲四小龍之首那也將超越中國那我請問主計長賴總統說的台灣今年經濟成長率預測值是主計總數預測公布的數字嗎
transcript.whisperx[49].start 2912.02
transcript.whisperx[49].end 2934.44
transcript.whisperx[49].text 这是亚营公布的数字亚营公布因为本来对经济成长率的预测是上半年好下半年萎缩那我请问主计长现在对经济成长预测数字的上调到底是下半年经济好转还是下半年经济衰退趋于缓和
transcript.whisperx[50].start 2936.021
transcript.whisperx[50].end 2948.747
transcript.whisperx[50].text 但是下半年的情況其實從六七八月到現在一直情況都是還不錯所以我們本來是說他可能會再下更緩和但是事實上情況並不是這樣
transcript.whisperx[51].start 2949.386
transcript.whisperx[51].end 2967.831
transcript.whisperx[51].text 所以仍然有持續這個穩定的一個狀態所以我們其實我們自己主計總數出乎是4.45亞銀是5.1所以說你認為是台灣是一驚突起沒有受太大衰退的影響是不是
transcript.whisperx[52].start 2968.671
transcript.whisperx[52].end 2993.063
transcript.whisperx[52].text 影響的部分可能不是在下半年馬上就顯現可能要再往後延一點再看一下整個一個關稅的一個情形才會做一個變化主席長因為IMF總裁上個禮拜警告當前整個資產的估值這個資產估值已經接近25年前網路泡沫時期的水準
transcript.whisperx[53].start 2994.743
transcript.whisperx[53].end 3021.011
transcript.whisperx[53].text 如果市場出現急劇下跌金融環境收緊將削弱成長的動能並讓整個發展中的國家更加的艱困那主席長 近期台灣出口成長可以說是靠AI的浪潮那我請問IMF總裁針對AI泡沫化的事情你有什麼看法
transcript.whisperx[54].start 3022.793
transcript.whisperx[54].end 3045.605
transcript.whisperx[54].text 因為目前的需求整個還是很強所以這個部分我們也是需要有所緩緩所以我們在任性預算裡面我們就編列針對就是中小企業一些的輔導的措施或者是說他要去怎樣去轉換投資這一個部分的一個輔導這個部分相關的經費我們都有編列所以這個部分我們已經為這個部分先做一些的準備
transcript.whisperx[55].start 3046.909
transcript.whisperx[55].end 3060.594
transcript.whisperx[55].text 那個你認為台灣整個AI產業出口要是遇到泡沫化有沒有因應的對策還是只有深入你剛剛講的依賴編列任性預算來救AI產業是不是只有這樣子
transcript.whisperx[56].start 3061.793
transcript.whisperx[56].end 3076.233
transcript.whisperx[56].text 以我們AI的狀況目前情況還是持續的一個看好所以這個部分我們將來也是必須要密切的觀察就是說它一個變化然後我們希望說能夠適時能夠提供給產業適時的一個協助是這樣
transcript.whisperx[57].start 3078.878
transcript.whisperx[57].end 3095.784
transcript.whisperx[57].text 這樣喔 那個主席長賴總統在國慶談話表示將透過新的國防預算來加速打造台灣之盾而且國防預算在2030年前達到國內生產毛兒GDP的5%來展現這個守護國家的決心那我請問主席長
transcript.whisperx[58].start 3103.888
transcript.whisperx[58].end 3115.298
transcript.whisperx[58].text 賴總統的台灣之盾國防經會你認為會不會發生任性特別預算排擠的疑慮造成盾的品項等級受到影響會不會
transcript.whisperx[59].start 3118.19
transcript.whisperx[59].end 3131.386
transcript.whisperx[59].text 這個部分排擠是應該是不會啦不會因為以我們來講的話我們是逐年啦 逐年達到所以說妳很有信心認為不會是不是我們原則上也是希望說盡量能夠來
transcript.whisperx[60].start 3133.208
transcript.whisperx[60].end 3150.355
transcript.whisperx[60].text 安排就是說整個一個資源的一個分配就是讓它能夠適度然後國防經會要成長也是一定的趨勢但是我們是怎樣讓它能夠在我們有限的資源裡面能充分運用到整個國防經會讓它能夠逐漸的一個成長
transcript.whisperx[61].start 3151.189
transcript.whisperx[61].end 3169.824
transcript.whisperx[61].text 因為如果會的話那是不是代表政府會把沒有把錢花在刀口上還是執意胡亂的撒幣反之啊如果沒有排擠的疑慮那是不是意味著政府早先抗拒普發現金的說法根本就是欺騙台灣的老百姓是不是這樣子
transcript.whisperx[62].start 3170.464
transcript.whisperx[62].end 3177.008
transcript.whisperx[62].text 其實所謂排擠的部分就是資源分配的一個情形但是資源分配
transcript.whisperx[63].start 3202.326
transcript.whisperx[63].end 3217.283
transcript.whisperx[63].text 主席長因為我們去年超徵5283億很多其他鄰近的國家他們也都是超徵以後就普發現金你們現在變成有一點本末倒置
transcript.whisperx[64].start 3218.504
transcript.whisperx[64].end 3246.964
transcript.whisperx[64].text 该编列在正常预算里面你没有把它纳进去然后再用任性用其他特别预算等等那个并不是说本来应该列在正常的预算里面结果你没有把它列进来那未来然后再以特别预算任性等等来做这样的操作你身为主计长我相信你清清楚楚心知肚明该怎么做我认为一定啊
transcript.whisperx[65].start 3247.825
transcript.whisperx[65].end 3262.152
transcript.whisperx[65].text 不能讓你想怎麼樣做就怎麼樣做因為編列預算有一定的程序包括立法院預算區 法治中心他們也提出很多的建言我認為主席長您應該好好的聽進去
transcript.whisperx[66].start 3263.052
transcript.whisperx[66].end 3284.185
transcript.whisperx[66].text 我要跟委員說明的就是所謂超徵五千多億事實上這個部分呢是有一部分是屬於要分給地方的所以以中央來講中央才三千多億那如果說以一百一十三年度審計部審定我們有八千三百九十三億的累計剩餘的這個數字那大部分第一個運用到特別預算的一個
transcript.whisperx[67].start 3285.606
transcript.whisperx[67].end 3313.738
transcript.whisperx[67].text 那個任性還有相關的一個經費之後呢我們剩下4444億那這個部分又投注在我們特別預算裡面那這個部分投注在特別預算特別預算我們都非常的謹慎都一定是有特別條例經過貴院審議之後然後才編列所以這個部分並不是隨隨便便說提特別預算就提特別預算都必須要經過貴院審議之後才能夠編列預算
transcript.whisperx[68].start 3314.378
transcript.whisperx[68].end 3335.451
transcript.whisperx[68].text 不是說我們說想要提就提一定是先有特別條例通過之後才可以國防部長顧立雄禮拜一表示年底將提出特別預算無論是雷達系統 飛彈系統等等都會朝存活率高來購值俗話說攻擊就是最好的防禦換句話說
transcript.whisperx[69].start 3338.032
transcript.whisperx[69].end 3364.357
transcript.whisperx[69].text 鮮花制人去削弱威脅並奪取戰場的主動權那我請問主席你認為有台灣之盾之外是不是也必須要擁有台灣之矛如果要拿台灣之盾去對抗中國之矛請問你認為在兩岸軍事預算建構下台灣之盾的優勢在哪裡你的看法
transcript.whisperx[70].start 3365.322
transcript.whisperx[70].end 3378.64
transcript.whisperx[70].text 因為這個部分國防預算的部分其實是國防部的一個主責那我們是搭配它來做那我請問妳的看法是 我們如果針對因為現在地緣政治的一個
transcript.whisperx[71].start 3380.202
transcript.whisperx[71].end 3404.608
transcript.whisperx[71].text 一個變動所以這個部分我們本身如果是需要加強防禦的力量這個部分我們是贊成但是我們就看我們要如何整個在資源上如何來接濟如何來做分配如何來做編列是這樣如何來做分配是最重要不是美國講多少我們就配合多少對不對變成人家的小弟人家的棋子
transcript.whisperx[72].start 3405.828
transcript.whisperx[72].end 3429.303
transcript.whisperx[72].text 那個立法院預算中心在115年中央政府總預算整體評估報告中示警表示特別預算是政府預算制度的彈性補救措施不應該變成常態化成為擴增國防預算的方式恐將扭曲整個年度預算的原貌現在國防部長說台灣之盾
transcript.whisperx[73].start 3430.725
transcript.whisperx[73].end 3439.064
transcript.whisperx[73].text 要編列特別預算那我請問主計長到底編列年度預算適當還是特別預算比較合理你的看法呢
transcript.whisperx[74].start 3439.943
transcript.whisperx[74].end 3462.442
transcript.whisperx[74].text 因為年度預算它規模是有一定的如果說要大量的一個增加它本身在整個一個預算的制度上面是沒有辦法容納所以一般光是國防部每年例行性的預算我們大部分都是放在年度預算
transcript.whisperx[75].start 3462.902
transcript.whisperx[75].end 3480.558
transcript.whisperx[75].text 如果比較特殊的需求他有提出特別預算這個部分我們再就整個一個裁員的一個部分特別來可以預考因為我那天問過顧立雄我說我們買武器還有多少武器在美國錢給了武器沒給我們他不敢答
transcript.whisperx[76].start 3481.855
transcript.whisperx[76].end 3511.062
transcript.whisperx[76].text 對不對 那你一直編今年又編9495億我們不是說不要防禦但是最起碼你錢給人家 對不對給了人家結果武器什麼都沒來然後又要給錢 一直累積加上去你認為這樣合理嗎 這樣可以嗎他不敢答喔 說我回去研究研究研究以後也沒有提出來全國人民都需要了解
transcript.whisperx[77].start 3511.954
transcript.whisperx[77].end 3530.025
transcript.whisperx[77].text 他這是涉及到合約的一個訂定啦譬如說他預計的交易給多少年了呢都沒有給我們武器就存放在那裡錢給的武器也沒有給你說我們身為立法委員是不是應該要監督不是讓你為所欲為給了錢以後反正就給錢就好了對不對
transcript.whisperx[78].start 3532.369
transcript.whisperx[78].end 3549.526
transcript.whisperx[78].text 我是認為站在主計的立場審計的立場真的你們要好好的把該做的要把它把持好不是任何我們一個單位提出來就為所欲為以上謝謝林委員接下來我們請吳秉瑞委員
transcript.whisperx[79].start 3560.663
transcript.whisperx[79].end 3583.276
transcript.whisperx[79].text 主席麻煩請陳主席長我們請陳主席長委員好主席長早是我有看到媒體報導說行政院他現在要提出財政收支劃分法的草案是要送到本院來審議那這個你有參與討論嗎有那這個財政收支劃分法
transcript.whisperx[80].start 3589.366
transcript.whisperx[80].end 3615.012
transcript.whisperx[80].text 不是只有收還有支那收的部分當然就是收進來的稅收如何分配包括中央地方垂直分配跟各縣市政府的水平分配但是支的部分基本上就是要先了解中央跟地方的權責還有各地方政府的權責如何劃分這樣對不對
transcript.whisperx[81].start 3618.141
transcript.whisperx[81].end 3640.035
transcript.whisperx[81].text 所以最近我看到媒體上講了很多衝突我就覺得很奇怪這不能好好談嗎 譬如說地方政府都說我們以前蘇貞昌院長時代做到斑斑有冷氣 現在說電費地方政府說你中央要繼續補助中央的講法是因為財政收支劃分法
transcript.whisperx[82].start 3641.075
transcript.whisperx[82].end 3662.046
transcript.whisperx[82].text 在野黨藍白在立法院多數所以把一大塊一口氣拿了幾千億去地方了嘛所以中央現在的財政能力跟以前是不能相比況且啊這個底下一個很重要的因素就是國教啊
transcript.whisperx[83].start 3663.622
transcript.whisperx[83].end 3686.842
transcript.whisperx[83].text 國民基本教育中小學本來就是地方政府的權責那裡地方政府斑斑要冷氣的這個建制是中央出的前面幾年在中央財政有餘裕然後財政收支劃分的時候還比較充分的時候我來支持這個電費那一年的電費在這一部分總共是多少你知道嗎
transcript.whisperx[84].start 3689.065
transcript.whisperx[84].end 3704.842
transcript.whisperx[84].text 電惠的部分大概17.2億關於斑斑有冷氣的部分水電惠的補助啦斑斑有冷氣大概是12.6億那他給你拿了幾千億之後他連這十幾億都不要付了所以網路上一個比喻啊爸爸媽媽買手機給我
transcript.whisperx[85].start 3708.932
transcript.whisperx[85].end 3724.587
transcript.whisperx[85].text 連手機的網路費都要你還要繼續出是不是這樣的概念是 因為這一次財化法它總共分配就是說通過之後我們要分配給地方就是4165億然後它裡面又加4165億是預估值如果你的營業稅將來台灣的GDP繼續成長對你的這個
transcript.whisperx[86].start 3733.184
transcript.whisperx[86].end 3758.96
transcript.whisperx[86].text 會分配給地方的還會更多對那所以這個部分它其中又有一個我對一般縣市補助又必須維持2,501所以兩個合起來就將近15%那15%裡面其實這個部分是包括以前相關的市權並沒有移轉那第二個它分配給各縣市它的均衡它很大的一個差異所以有一些比如說比較那個
transcript.whisperx[87].start 3761.141
transcript.whisperx[87].end 3784.982
transcript.whisperx[87].text 商業發展不是那麼的一個快速的一個縣市他就整個人吃虧所以這個部分我們整個分配下來均衡不一樣所以很多的縣市其實他是受到很大的一個那個所以我們已經被破壞了就是沒有去均衡各縣市財政還有給各位一個相等的一個待遇的一個能力了
transcript.whisperx[88].start 3785.78
transcript.whisperx[88].end 3809.593
transcript.whisperx[88].text 講到錢就傷感情 大家都掙錢希望自己手上的錢越多越好可是談到收支的時候就要關於你要做什麼工作的分配我覺得要從工作的分配上面才來去看收入應該要怎麼樣來分配所以我是希望因為這個草案你還沒有提過來
transcript.whisperx[89].start 3810.794
transcript.whisperx[89].end 3837.629
transcript.whisperx[89].text 那我也不知道提過來在本院能夠通過的機會有多大現在立法院不太講道理大家就講政治立場就專門在做政治攻擊所以要好好的把這個道理跟社會大眾說清楚基本上所有無論是中央政府或地方政府的稅收都是全民的納稅錢
transcript.whisperx[90].start 3839.664
transcript.whisperx[90].end 3856.923
transcript.whisperx[90].text 那這個納稅錢應該要怎麼用基本上要看你負擔了什麼工作要負擔了多少工作 需要用多少錢這樣邏輯才是正確的而不是先設建再劃法就是我就給你多少錢那你要做什麼工作不知道那你隨便你亂花
transcript.whisperx[91].start 3858.171
transcript.whisperx[91].end 3874.907
transcript.whisperx[91].text 我想民眾不希望這樣狀況無論是中央政府或地方政府他都不需要這樣的狀況對不對因為當初市權並沒有劃分出來而且市權很多都必須要做修法才能夠去做改變所以我們不得不就必須要把原來
transcript.whisperx[92].start 3876.328
transcript.whisperx[92].end 3899.743
transcript.whisperx[92].text 屬於地方政府應辦的事項然後轉給地方去辦就是原來中央補助的一個部分改由他的統籌分配稅款的相關去支應但是這個部分呢其實譬如說我們以往的一般性補助包括計劃性補助都是屬於地方應辦的事項然後中央佐與補助所以這個部分呢當然有一些縣市他會覺得說
transcript.whisperx[93].start 3900.763
transcript.whisperx[93].end 3912.982
transcript.whisperx[93].text 我這個拿到了錢但是他又不想做這些他原來硬辦的事項所以我們必須還是必須跟他引導讓他去做這些一個屬於原來地方硬辦的一個事項對啦 我剛剛講除了電費之外現在又在講那個
transcript.whisperx[94].start 3915.714
transcript.whisperx[94].end 3941.653
transcript.whisperx[94].text 中小學營養午餐的那個補助各式各樣的問題其實都看到枝微末節沒有看到它的根本要從事權的劃分才來決定財政的分財務財錢的分配那你事權劃分的部分不講清楚所以我是希望行政院在提出這個草案到本院來的時候連帶這些東西都要跟社會大眾做清楚的報告
transcript.whisperx[95].start 3942.654
transcript.whisperx[95].end 3968.268
transcript.whisperx[95].text 不然的話每一個問題拿出來的時候個別的地方政府都是會站在他自己的角度看事情你剛剛講的有一個問題將來一定會面臨搶稅的問題因為你的營業稅既然現在改成是中央代收其實是地方的錢那過去的觀念我的營業總部設在哪裡我的營業稅在哪裡繳
transcript.whisperx[96].start 3969.782
transcript.whisperx[96].end 3996.072
transcript.whisperx[96].text 開玩笑那以後台北市都是櫥窗我們新北市都是廚房桃園都是廚房大家的工廠開在中南部開在我們這些地方結果他的營業總部設在台北市那營業所有都在台北市交這個不公道這個已經講了幾十年了但是如果這一次沒有辦法好好地把這個法律釐清以後的地方政府
transcript.whisperx[97].start 3997.199
transcript.whisperx[97].end 4011.008
transcript.whisperx[97].text 你這個總部不簽到我的工廠如果在我這個地方總部不簽到我這個地方來的話我每天要給你做一些奇奇怪怪的消防檢查 公安檢查每天來給你檢查逼你要把你的營業總部簽到我這個地方政府來
transcript.whisperx[98].start 4012.403
transcript.whisperx[98].end 4037.884
transcript.whisperx[98].text 會出現這樣的亂象喔是是 謝謝委員這個部分呢財政部已經針對這個所以他要做一個統一的劃分的一個公司去做涉算或者把一些農地比較佔的一個部分是不是要提升要做一個統一涉算這個是草案要向社會大眾說明是的本院不一定會接受本院現在有多幾票就對方的意見就是完全不予考納採納都採用突擊式的立法
transcript.whisperx[99].start 4038.444
transcript.whisperx[99].end 4066.627
transcript.whisperx[99].text 都到要表決前才提出他的修正案我們連看都沒看過就表決過啦然後你們又平常又不做充分的說明所以社會大眾立法院透過什麼法律搞不清楚啊連立法委員都搞不清楚你知道嗎我們會盡量來做都是機密啊到了要表決前五分鐘才提出他的修正案怎麼拿到這樣的立法方式所以這件事情對國家的影響發展非常的大
transcript.whisperx[100].start 4067.557
transcript.whisperx[100].end 4086.987
transcript.whisperx[100].text 我個人是認為 正本清源 事權的劃分先談清楚事權劃分清楚之後 因為需要辦事 需要多少錢 然後才談錢的分配要從最上游整個釐清下來 整個事情才能夠清清楚楚
transcript.whisperx[101].start 4087.247
transcript.whisperx[101].end 4108.724
transcript.whisperx[101].text 所以這個部分我們國化會已經針對這個部分譬如說原來中央一般性補助和計劃性補助包括整個市權所謂的一個作用法相關的都在做一個檢討那哪些是必須中央持續補助的要維持或者哪些要回歸地方那整個國化會都有已經在做一個
transcript.whisperx[102].start 4109.304
transcript.whisperx[102].end 4118.649
transcript.whisperx[102].text 一個這個研究還有一個跟部會來做討論那所以這個部分也會並同我們整個才化法的一個修正來整個疫病來提出來
transcript.whisperx[103].start 4119.261
transcript.whisperx[103].end 4147.141
transcript.whisperx[103].text 主席我今天的諮詢你還是沒有聽懂我一個關鍵的地方就是這個要向社會大眾說明因為本院是一個比力量的地方比票數的地方不是比道理的地方所以你們如果對社會大眾沒有辦法說明讓社會大眾能夠信服的話在立法院來你們是絕對把你改得亂七八糟扭曲了我新北市12個立委要表決的話我們會輸你們嗎所以如果變成這樣就糟糕了
transcript.whisperx[104].start 4148.001
transcript.whisperx[104].end 4170.821
transcript.whisperx[104].text 所以我們對於這個國家很重要的一個法律如何來做這個要趕快想既然行政院草案要提出來一定要對社會大眾充分說明充分說明之後才能夠避免這些滋為莫及的爭執才能夠正本清源談到問題的根本好不好加油對社會大眾充分說明是 謝謝 謝謝委員好 我們謝謝吳委員接下來我們請賴社保委員
transcript.whisperx[105].start 4186.43
transcript.whisperx[105].end 4191.817
transcript.whisperx[105].text 謝謝主席以及各位先進有請主計長我們請陳主計長委員好你好那麼今年的GDP要成長大概多少 今年
transcript.whisperx[106].start 4204.133
transcript.whisperx[106].end 4226.863
transcript.whisperx[106].text 目前我們大概是4.45我們自己4.45但是因為還有幾個月嘛你那個是8月底的嘛對 差不多那個是8月底的數字嘛9 10 11 12這幾個月因為有一個變數就是我們台美或者美台關稅在10月底才 傳息會以後才會確定這個會不會影響
transcript.whisperx[107].start 4230.345
transcript.whisperx[107].end 4257.212
transcript.whisperx[107].text 這個也會影響所以我們會逐漸緩和會比較低還是比較高比這個數字低還高我們預測應該也不會低很少我們本來當初在預估的時候預估是比較低但是現在是有逐漸緩和上來一個趨勢的所以大概今年你的預估大概差不多4%左右4.45%將近4.5%4.45%是在8月底的時候預估的我說今年底
transcript.whisperx[108].start 4257.992
transcript.whisperx[108].end 4284.245
transcript.whisperx[108].text 但是亞銀估的部分是5.1所以亞銀在估算的時候對我們估5.1你認為不會這麼高嗎我們應該也趨近4.45是高估還是低估 你告訴我有一點低估4.45低估央行他估的比我們還高央行估多少 4.5多
transcript.whisperx[109].start 4285.997
transcript.whisperx[109].end 4289.983
transcript.whisperx[109].text 4.5多好不好 持續注意是CPI現在看了很低才1.25 對吧
transcript.whisperx[110].start 4294.69
transcript.whisperx[110].end 4322.797
transcript.whisperx[110].text 可是老百姓感覺物價漲很多餐廳現在一粒一百塊都買不到對 它主要是食物主席長你也跟我說一下為什麼你CPI看起來這麼低可是老百姓感覺物價一直漲主要是因為它石油還有一些材料的一些原物料它下降它下降的幅度因為這不是說屬於經常購買但是經常購買比較有譬如說水果它就
transcript.whisperx[111].start 4323.797
transcript.whisperx[111].end 4349.535
transcript.whisperx[111].text 水果長很多長很多 水果蔬菜但是蔬菜它現在已經有逐漸緩和了蔬菜因為它現在颱風過後之後它去復根之後又逐漸都已經改善了所以現在是水果比較貴還有一些就是房租 醫療那現在就是我們的食物的部分就是平常每日在飲食的部分它是比較高那這個部分差不多2.64那2.64食物的部分那個感覺就很大了
transcript.whisperx[112].start 4353.658
transcript.whisperx[112].end 4373.533
transcript.whisperx[112].text 感覺不是1.25喔1.25是整個的平均跟老百姓有關是2.64食物的部分是2.64超過央行總裁的警戒性他是想2%所以我們大概能夠忍受的CPI大概2%了
transcript.whisperx[113].start 4374.594
transcript.whisperx[113].end 4387.351
transcript.whisperx[113].text 是目前我們大概一到八月份是1.77左右1.77是1.77左右所以我們主要是因為譬如說紅隊也漲了我再問你另外一個題目
transcript.whisperx[114].start 4390.836
transcript.whisperx[114].end 4405.771
transcript.whisperx[114].text 賴總統有說了大概台灣之盾要打造這個T-DOM提到了要編一照的特別軍購條例請問這一照你開始編沒有
transcript.whisperx[115].start 4406.992
transcript.whisperx[115].end 4432.318
transcript.whisperx[115].text 目前還沒有他11月份就要提出來但是他要先提相關的條例經過會員來審查之後我們才會籌編條例什麼時候開始出來目前他已經有在相關開會什麼時候可以出來這個我們可能要問一下國防部真正的日期是什麼時候是這樣現在那個主席長如果數字有錯請你指正我們的債務餘額5.8兆這個對不對
transcript.whisperx[116].start 4438.575
transcript.whisperx[116].end 4453.668
transcript.whisperx[116].text 5.8兆因為它隨時是在變動沒有 這純量的概念沒有哪裡變動亂講純量的概念5.8兆是確定的如果再加一兆那幾乎就是全部是舉債
transcript.whisperx[117].start 4455.989
transcript.whisperx[117].end 4465.471
transcript.whisperx[117].text 6.8兆是什麼概念原來我們台灣人一個人平均的債務的負擔25.6萬左右25 26萬左右就提高到29萬將近30萬這個東西很可怕這個數字很可怕我跟委員報告我們縱使一兆也不是一年就一兆而是分差不多七年到十年我知道可是這樣一年差不多一千
transcript.whisperx[118].start 4481.994
transcript.whisperx[118].end 4501.607
transcript.whisperx[118].text 一千億左右那跟我們現在相關的一個負擔是差不多的啦所以它不是一次就一兆元不是這樣的啦我現在跟你講存量你跟我講流量你那個每一年每一年那是流量的概念我現在跟你講存量的概念下來因為這個5.8兆是確定的
transcript.whisperx[119].start 4504.429
transcript.whisperx[119].end 4524.256
transcript.whisperx[119].text 然後呢你再來加一兆那就變6.8兆就是不管幾年啦3年5年7年10年total就是一兆這個債務要負擔的但是每一年的稅入稅出的情形不一樣阿你又在講流量我跟你講存量嘛你要搞清楚存量我跟你講存量就是我們
transcript.whisperx[120].start 4525.356
transcript.whisperx[120].end 4547.009
transcript.whisperx[120].text 我們的所有的納稅 我們叫tax payer納稅人 現在不僅僅納稅人我們的小孩子 統統加起來一個人是29.6萬 創歷史新高好 我再跟你講一個東西你現在來講的話因為大家關心你來大家就想到統籌分配稅款其實給地方政府是統籌加一般加計劃這三條錢加起來
transcript.whisperx[121].start 4550.39
transcript.whisperx[121].end 4575.225
transcript.whisperx[121].text 你統籌分配收款多給了10,100可是你拿回去2,600實質上你就給地方1,500而這裡面你們這裡面不知道怎麼去弄了動手腳還怎麼樣有九個縣市你原來這三個加起來比去年來少九個縣市是對吧是對吧這九個是哪九個
transcript.whisperx[122].start 4577.27
transcript.whisperx[122].end 4588.853
transcript.whisperx[122].text 目前大概是有台南 彰化 嘉義縣屏東縣 澎湖縣 基隆市金門縣 連江縣 還有嘉義縣台南市 彰化縣 嘉義縣 屏東縣澎湖縣 基隆市 金門縣 連江縣 嘉義縣所以這九個縣市等於
transcript.whisperx[123].start 4601.636
transcript.whisperx[123].end 4618.074
transcript.whisperx[123].text 等於115年他的比114年都還低啊是對不對 後來你怎麼辦我們希望說能夠在統在那個一般性補助款裡面能夠維持說他跟去年度一樣但是計劃型就少啦
transcript.whisperx[124].start 4620.457
transcript.whisperx[124].end 4636.836
transcript.whisperx[124].text 計劃型你把它扣掉了啊但是三項合起來維持114年度的額度就等於是說他計劃型少了就其他的會增加所以他總額度是不變的我問你這九個縣市不夠的部分你有沒有補他錢啊
transcript.whisperx[125].start 4637.997
transcript.whisperx[125].end 4653.266
transcript.whisperx[125].text 對 我們預計是希望能夠透過一般性補貼來跟他補補多少錢TOTAL至少補到跟114年不一樣全部多少錢啊 多少錢啊 全部多少錢這個部分我們還要看幾十億喔 我們請那個沈記長來主席長請回
transcript.whisperx[126].start 4662.683
transcript.whisperx[126].end 4667.191
transcript.whisperx[126].text 好 董委員好你好 沈縣長先恭喜你繼續努力要效能好 我們來看
transcript.whisperx[127].start 4673.274
transcript.whisperx[127].end 4695.868
transcript.whisperx[127].text 我們現在很在乎的就是說我們拼命要買美國的武器錢付了貨沒有到現在總共已經有200億美金付了但是沒有到這還有200億美金的貨沒有到比如說具體的就是你們的報告F16V特別預算
transcript.whisperx[128].start 4696.926
transcript.whisperx[128].end 4708.236
transcript.whisperx[128].text 那時候省很清楚2500億的特別預算到今年的6月底匯出去47.2億美金總金額59.07億的六成總金額這個就是飛機的錢飛機的錢第一架
transcript.whisperx[129].start 4717.103
transcript.whisperx[129].end 4741.959
transcript.whisperx[129].text 原來說112年的1月出場現在delay到114年的Q1才出場但是出場是還在美國Q1出場在美國所以第一架都還在美國現在就是因為美國全世界看比較危險的烏克蘭就給他什麼地方危險給他台灣就一直排後面台灣比較乖
transcript.whisperx[130].start 4743.413
transcript.whisperx[130].end 4769.528
transcript.whisperx[130].text 那美國說115年的Q3開始交115年的Q4交完可是萬一如果又delay因為一直delay了原來講112年1月份要出場現在改到14年delay了足足兩年請問你按照審計法如果特別預算我們這個條例到115年底要執行完畢如果那時候還沒有執行完畢怎麼辦
transcript.whisperx[131].start 4771.096
transcript.whisperx[131].end 4795.968
transcript.whisperx[131].text 我們在結算法裡面有一個保留制度他可以執行完以後四年裡面可以列保留如果四年內還沒有用完呢四年內沒被保留一般我們會通知他你已經到了結算法的可以保留的日期你還要不要執行不執行的話我們會把他減列就收回啦
transcript.whisperx[132].start 4797.068
transcript.whisperx[132].end 4801.39
transcript.whisperx[132].text 就把他收回如果不執行就收回了對 如果不執行我們會他的整個檢討如果他已經做了這個可能給他一點點時間他可能就完成了那我們還會給他保留現在常常有那種國防部常常買飛機買什麼的買那個錢交了可是東西不來審計部的意見怎麼樣
transcript.whisperx[133].start 4819.46
transcript.whisperx[133].end 4823.382
transcript.whisperx[133].text 我們有像這個飛機這個我們說你錢已經付了飛機都沒來我們希望他不要按他的那個工程進度付錢所以我們檔下他差不多12億美元檔下12億美金366億台幣這個是我們最後小點
transcript.whisperx[134].start 4842.773
transcript.whisperx[134].end 4856.554
transcript.whisperx[134].text 你要不要督促一下國防部我們講了半天了國防部也不太理把軍售改成商售啦這樣子的話我們就可以降低對美的順差啦這一個很重要啊審計部要不要把這個列為你的審計重點
transcript.whisperx[135].start 4857.495
transcript.whisperx[135].end 4873.326
transcript.whisperx[135].text 因為這個受及國家的一個很大的政策你不敢講不是說不敢講因為要整個評估商售有商售的好處商售也有商售的毛病這整個風險也很大因為這個來講的話 均收的話我就沒辦法算在我的貿易順差裡面
transcript.whisperx[136].start 4880.571
transcript.whisperx[136].end 4885.036
transcript.whisperx[136].text 我如果這樣一來的話 買的話我的貿易順差就會降低我的關稅不會被扣那麼高這個可能貿易量的話去檢討那個可能比較壞去思考一下好不好審計的意見放進來吧好 我們謝謝賴委員接下來我們請郭國文委員
transcript.whisperx[137].start 4912.227
transcript.whisperx[137].end 4913.709
transcript.whisperx[137].text 謝謝主席 有請主計長跟沈計長我們請陳沈計長 陳主計長
transcript.whisperx[138].start 4922.688
transcript.whisperx[138].end 4949.688
transcript.whisperx[138].text 委員好兩位好我想今天問的問題跟兩位都直接相關可以的話就自由搏擊可以不用依序而來來第一個在總統其實在國慶的談話當中特別講了一句話讓人滿有感就是好的數字要變成好的生活才會有感但是好的生活要有感其實要落實在政策當中本席看一看其實兩位是關鍵的一個角色
transcript.whisperx[139].start 4950.609
transcript.whisperx[139].end 4960.536
transcript.whisperx[139].text 你要如何讓人民有感第一個就是說你從數據來看那個從各種數據來看台灣目前幾乎是屬於史上最富有的一個年代
transcript.whisperx[140].start 4961.735
transcript.whisperx[140].end 4981.124
transcript.whisperx[140].text 但是你看相關的數字最高20%的部分成長將近4倍人均的部分成長3.67倍平均薪資的部分成長2.27倍股市總值成長26.51倍但是最低20%的家庭財富minus 1%兩位你會不會覺得很有感經濟學所說的下盛的可能性幾乎在這個數字當中看不到
transcript.whisperx[141].start 4990.891
transcript.whisperx[141].end 5020.571
transcript.whisperx[141].text 所以這裡頭過去這30年來相關的數字又增加這麼多政府不是沒有作為政府的作為在哪裡減稅 壽星階級 總產階級基本工資 勞工階級但是偏偏這一群人在社會安全網的網絡當中都沒有存在的他必須透過社會救助的體系而本溪在這次救災的過程當中非常的有感
transcript.whisperx[142].start 5021.751
transcript.whisperx[142].end 5047.919
transcript.whisperx[142].text 有感覺說這個基層是增了很多社會邊緣戶增加很多所以說真正要強化任性的部分在社會安全網之外的部分的社會救助反而是非常重要我不曉得兩位有沒有去了解過到底台灣目前有多少的窮人貧窮性的定義在哪裡我現在隨便抓一下最近媒體報導韓國需要救助的下流老人高達40%
transcript.whisperx[143].start 5049.739
transcript.whisperx[143].end 5058.034
transcript.whisperx[143].text OECD當中最高 連日本就20可是台灣這個部分都沒有統計兩位長官 是不是要面對一下這個問題
transcript.whisperx[144].start 5061.653
transcript.whisperx[144].end 5087.842
transcript.whisperx[144].text 我們對這個漢委員的想法有同感我們發現福利政策綱領這個貧窮線這個問題十幾年沒有修我們一直通知他通知衛福部要去檢討他衛福部我們還是在因為現在的熱術通知不要推給衛福部的感覺因為這個是要修福利政策綱領
transcript.whisperx[145].start 5088.982
transcript.whisperx[145].end 5099.935
transcript.whisperx[145].text 那要去面对这个问题那个主委长 卫护部你也可以有机会跟他说你去看 我让你看一个数字整个低收入户的这个数字年年减少
transcript.whisperx[146].start 5101.721
transcript.whisperx[146].end 5126.666
transcript.whisperx[146].text 从1.46到1.13我都很怀疑组织长是不是要控管这个金流有关系控管预算有关系你去看整个台湾的这个贫穷率只有1.5%只有1.5%欧洲德国的部分有16.7法国有14.2瑞典有15美国相当于11我们才是人家的1%而已很难有可能
transcript.whisperx[147].start 5127.566
transcript.whisperx[147].end 5147.692
transcript.whisperx[147].text 我也不相信嘛 這定義的問題嘛你如果去參照國外的經驗一般而言從社會安全網絡的角度最基礎的部分大概人口數的10%大概10%而我們低收入戶占人口數的只有1.13%而已加中低收入只有2.26%總共有50幾萬如果從整個最低的資產剛剛講的那20%30年來薪資沒有變而且又縮水的部分至少500萬
transcript.whisperx[148].start 5156.738
transcript.whisperx[148].end 5173.935
transcript.whisperx[148].text 有的人口数大概是10%我已经讲这么多主席长你该发挥一下了吧是 这个部分我也在跟委员报告就是有相对的贫穷率这个我们算了大概是7.57那当然因为像美国它是比较多是18.1日本是15.4
transcript.whisperx[149].start 5175.336
transcript.whisperx[149].end 5202.745
transcript.whisperx[149].text 南韩是14.9%这所谓的相对的贫穷率但是我们一般我们都是就20%和最低20%和最高20%之间的一个差异我们倍数我们都譬如说我们个人是维持在3.92%然后家庭是维持在6.11%将近10倍统计都是你在统计的你相对贫穷率这个预算中心也帮你
transcript.whisperx[150].start 5203.405
transcript.whisperx[150].end 5221.272
transcript.whisperx[150].text 算过大概是6到7%6到7%都比你现在一点多还高很多 对不对所以你们基本上不敢松绑第一码又不肯修法喊了十几年了都没有变所以说100年来这左右的差不多100户左右的这个弱势边缘户你要去怎么处理
transcript.whisperx[151].start 5222.165
transcript.whisperx[151].end 5252.105
transcript.whisperx[151].text 一定要要求这个问题像我们今年长照的部分我们长照2.0十人集到长照3.0我们就增加了227亿长照有增加我没有错我现在跟你谈的社会救助那社会救助的部分这个部分我们也是都是尽量能够希望说能够来扩大范围来给予補助那个省厅长 主席长我再跟你讲你去看整个关键在哪里就政府把省钱当成最高的美的
transcript.whisperx[152].start 5252.825
transcript.whisperx[152].end 5280.49
transcript.whisperx[152].text 不会花钱政府支出不足我算数字给你看中央政府占GDP的比重我国政府只有占11%加地方政府才是17%这数字没有错吧OECD的国家是平均44%主席咋你不要再当灭绝师太了本席也不会要求你当财神也只是一定要当个王母娘娘可不可以
transcript.whisperx[153].start 5281.801
transcript.whisperx[153].end 5310.334
transcript.whisperx[153].text 普度中 森林下我们才11%人家平均OECD是14%日本去年39.4%我们不是先进国家吗我们不是财政很好吗你每天都说要还债好 我跟你讲债务的数字好了马英九2012的时候最高的数字政府的财政最惨所有GDP的39.5是最近法定数字的45我们现在多少
transcript.whisperx[154].start 5312.028
transcript.whisperx[154].end 5318.271
transcript.whisperx[154].text 25對不對還是23 24對啊 20出頭耶這種情況底下我們明明有錢不是沒有錢我們是經濟高成長低負債的情況底下為什麼要扣這些窮人的錢呢
transcript.whisperx[155].start 5332.15
transcript.whisperx[155].end 5350.08
transcript.whisperx[155].text 這丟臉 你知道嗎所以要如何讓總統這句話真正的落實美好的數字可以轉化成美好的日子你有責任 兩位有責任一個是源頭管理 一個是事後監督
transcript.whisperx[156].start 5352.182
transcript.whisperx[156].end 5380.123
transcript.whisperx[156].text 沈縣長你最後寫報告你這一部分能不能寫一份報告給本席一個月沈縣長 沈縣長 還有主計長誰要負責我們來寫好 沈縣長你來寫寫有效的一種方式站在一個審計觀點當中要求這些相關部會讓總統的這個美意得以落實得以落實美好的數字竟然沒有辦法落實到美好的生活20%的人30年來過的日子都一樣越來越慘
transcript.whisperx[157].start 5385.268
transcript.whisperx[157].end 5409.409
transcript.whisperx[157].text 這真的很丟臉 你知道嗎還有一個部分基礎建設的部分 錢要花在刀口上要花在刀口上那個省議長你現在在107年之前你都說推動了18年我們共同管溝的部分才完成了614.9公里 對不對這顯然不夠不夠台灣的過去花了那麼多特別預算
transcript.whisperx[158].start 5410.39
transcript.whisperx[158].end 5426.939
transcript.whisperx[158].text 在做了很多所謂的前瞻計畫那顯然是不足嘛你是不是從審計的觀點來去做一個整體的檢討來認為台灣現在需要的前瞻的這個計畫是什麼這才是真正強化社會韌性我們強化社會韌性有兩種工程
transcript.whisperx[159].start 5427.699
transcript.whisperx[159].end 5452.603
transcript.whisperx[159].text 一種是法制的工程 一個是硬體的工程我剛剛跟你講的是一個法制面的一個工程這是強化社會韌性另外是硬體面的一個工程強化社會韌性所以說我們剛剛從一個法制面的現在從一個硬體面的能不能請那個 沈院長你也待了這麼久你未來還會待六年你接下來這一份報告當中你有機會追六年
transcript.whisperx[160].start 5454.034
transcript.whisperx[160].end 5472.316
transcript.whisperx[160].text 主席長 你的任期也會相當的久我希望你能夠轉變一下角色你看喔 除了共同廣告之外我們強化能源的這個部分這一次因為那個斷電 斷訊很多 這個都是在基礎建設的時候可以用 對不對
transcript.whisperx[161].start 5473.359
transcript.whisperx[161].end 5501.758
transcript.whisperx[161].text 有沒有 這部分我還是要再請那個審計長你從你過去的一些長期以來在審計部門也曾經在主計部門待過的角色當中你再寫一份報告可以不可以可以這兩份報告寫出來我們來建構一個屬於法治面的一個社會韌性還有一個基礎工程面的社會韌性把錢花在刀口上我也請主計長改變一下角色不要再當滅絕師太
transcript.whisperx[162].start 5504.139
transcript.whisperx[162].end 5531.71
transcript.whisperx[162].text 當一下王母娘娘 好不好然後最後呢你現在就可以當王母娘娘最後一個你看我們最近的一個特別條例丹奈斯颱風的特別條例第一筆用到的錢就用在花蓮丹奈斯颱風耶用在花蓮在車輛受損的部分就有五萬然後機車就有一萬放在台南的時候 情何以堪台南中央沒有拿到任何錢而且地方給一萬跟五千
transcript.whisperx[163].start 5534.118
transcript.whisperx[163].end 5537.844
transcript.whisperx[163].text 這個部分他有增加250億他增加30億現在就動用了對 他在30億的預備金當中動用了1億那既然30億里頭可以動用到花蓮為什麼不能動用到台南
transcript.whisperx[164].start 5549.69
transcript.whisperx[164].end 5570.761
transcript.whisperx[164].text 能不能請主計長跟相關部會講一下思考一下把這些一樣要用在刀口上把這個特別條例或強化社會韌性條例當中構思一下同時在進行所謂的社會工程的這個韌性的建構還有法治工程的一個社會韌性的建構有沒有可能
transcript.whisperx[165].start 5572.011
transcript.whisperx[165].end 5581.653
transcript.whisperx[165].text 我不相信這兩個特別條例下去之後這兩種社會韌性就可以建立起來我不相信但是從這兩個特別條例開始然後再從那個沈記長這兩個報告繼續延續好不好好 感謝兩位好 謝謝郭委員那沈記長兩份相關報告一個月再寫給這個郭委員接下來我們請賴會員委員
transcript.whisperx[166].start 5599.602
transcript.whisperx[166].end 5602.951
transcript.whisperx[166].text 謝謝主席 我們請沈記長還有主記長我們請陳主記長
transcript.whisperx[167].start 5611.753
transcript.whisperx[167].end 5635.555
transcript.whisperx[167].text 委員好兩位早安我想我先來跟沈記長討教一下針對的就是近日就是我們有一群我們白河的鄉親北上抗議他抗議什麼呢他抗議就是說我們白河水庫的一個排沙工程這個時間太長了還有蘇峻的一個計畫都沒有一個
transcript.whisperx[168].start 5636.596
transcript.whisperx[168].end 5644.802
transcript.whisperx[168].text 查核也沒有一個監督那事實上我們看到了就是說白河水庫因為他其實在前瞻計畫裡頭我們大概從2017年到2024年這7年裡頭我們編了103
transcript.whisperx[169].start 5653.67
transcript.whisperx[169].end 5670.27
transcript.whisperx[169].text 3.9億 這個很明確我們看到了那在這裡要問一下那個沈記長就是說是不是你有關心到這一個議題我覺得 我想聽聽有沒有透明的一個機制可以讓農民跟社會大眾去掌握這一個進度跟成果
transcript.whisperx[170].start 5672.693
transcript.whisperx[170].end 5686.95
transcript.whisperx[170].text 來 謝謝委員的主教那個柏油水庫是我們水庫裡面的遺跡非常嚴重差不多達到60%所以政府花了一點錢把它失禁但是它的失禁這個排沙工程在做的時候其實我們也有
transcript.whisperx[171].start 5687.833
transcript.whisperx[171].end 5714.858
transcript.whisperx[171].text 也要求他 他因為一直變更設計但是他整個他因為把這個排沙工程直接排到集水溪去所以變成那些沙去影響了集水溪所以就造成有一點會淹水所以這個我們都有注意這樣的一個情況所以我們認為這樣的一個做法可能集水溪要 如果
transcript.whisperx[172].start 5715.778
transcript.whisperx[172].end 5729.763
transcript.whisperx[172].text 他一定要繼續排到這個集水區可能還是要好好的水利署要把集水區這個問題要把它解決但是水利署說他有花了差不多將近要花1億5到1億8還是怎麼樣他準備提出50幾億的輸進工程包括買地
transcript.whisperx[173].start 5737.766
transcript.whisperx[173].end 5757.124
transcript.whisperx[173].text 龍水署他是全責在兩個單位喔對 白河水庫是我跟你講白河水庫是那個龍水署龍水署也編了51億他要用地取得喔所以這個沈機長我希望你要加強監督喔你要保障農民
transcript.whisperx[174].start 5757.504
transcript.whisperx[174].end 5780.77
transcript.whisperx[174].text 這個我們會影響做一個事情造成另一個問題我們會處理 謝謝沈記長接著我請教主記長針對的在這一次華家沙風災跟花蓮馬太安燕射湖的一個災後重建特別條例裡頭我們有特別提到了就是說用預算法的第22條的第32項還有預算法
transcript.whisperx[175].start 5785.271
transcript.whisperx[175].end 5800.096
transcript.whisperx[175].text 88條的第一項裡頭有特別講到了就是說政府在災害發生的時候能迅速合法有效的應用資源不需要再額外設立一部這個特別法就是說他不需要再有一個專案
transcript.whisperx[176].start 5802.389
transcript.whisperx[176].end 5817.082
transcript.whisperx[176].text 主席長你覺得花蓮市政府的現在提到的他們需要有一個特別的一個專案需要增加就是預算來救災那如果相對的話台南
transcript.whisperx[177].start 5818.403
transcript.whisperx[177].end 5833.055
transcript.whisperx[177].text 台南當初是更慘的跟嘉義是更慘的嘉義縣台南都是更慘的那這樣子的話都可以再用一個專法那我台南是不是也可以追加請主席長回答沈縣長請回
transcript.whisperx[178].start 5835.317
transcript.whisperx[178].end 5860.245
transcript.whisperx[178].text 我也再跟委員報告一下因為這個部分我們一般針對災害就是希望能夠儘速然後儘快然後能夠達到一個救災的目的那目前原則上可以動之災害準備金或者動之第二預備金或者做一個調整已經動用了一億了對不對當初台南還沒有動用到是我們在那個原來這個
transcript.whisperx[179].start 5862.246
transcript.whisperx[179].end 5878.678
transcript.whisperx[179].text 丹尼斯颱風的時候裡面他有預備金有30億那預計他以行政院目前的一個他是希望說追加250億的一個預算然後直接因為當初在
transcript.whisperx[180].start 5879.518
transcript.whisperx[180].end 5886.942
transcript.whisperx[180].text 丹尼斯颱風裡面就提到有辦理馬太安的厭塞湖災害的一個相關復原重建所以他只要修正部分的一個條文就能達到這個目的所以這個部分或增加250億的一個我覺得
transcript.whisperx[181].start 5895.626
transcript.whisperx[181].end 5924.274
transcript.whisperx[181].text 其實不是在逼可憐的啦那確實就是說台南的一個災後的一個重建其實還是很漫長只是我們現在看到了就是說花蓮縣政府提出來的這一些需求的時候其實我們是很羨慕的你這個一站式的一個服務那每一個災民你現在每一戶就可以拿到35萬元那這個是讓我們真的是非常的羨慕所以就是說我在這裡
transcript.whisperx[182].start 5925.194
transcript.whisperx[182].end 5947.117
transcript.whisperx[182].text 要特別特別跟主計主計長就是說你一定要先協調相關的單單位你去盤點你的經費來源是那我們確保就是說在後的一個計畫能夠及時的一個推動如果如果花蓮他要再有一個專法的話那我想台南我們也要推出一個專法
transcript.whisperx[183].start 5948.418
transcript.whisperx[183].end 5958.506
transcript.whisperx[183].text 這樣子才有辦法就是說及時的照顧到我們台南的災民好 謝謝主計長那我想我們再依序進入到中央統籌分配款的這一個部分那我在這裡要跟那個主計長做一個探討
transcript.whisperx[184].start 5966.432
transcript.whisperx[184].end 5982.729
transcript.whisperx[184].text 財政收支劃分法修法了以後剛才我們有其他的委員有特別提到有九個縣市包括本席本席的縣市台南市裡頭它稅入的分配的一個數字看起來比稅前的修法還少
transcript.whisperx[185].start 5983.57
transcript.whisperx[185].end 5998.459
transcript.whisperx[185].text 好像感覺上有一個中央奪取地方的一個財源的疑慮這樣的一個變化難免會讓地方政府跟民眾產生一個疑慮是不是中央縮水了地方的一個財源但是我們當了解其實
transcript.whisperx[186].start 6000.767
transcript.whisperx[186].end 6018.18
transcript.whisperx[186].text 並不是所以就是說我們在這裡也特別特別就是說柴岩上的一個管理那跟主計總長再提一個這樣的一個計畫就是說如果你沒有辦法分配給地方政府第二次的一個修法的一個提案下一頁
transcript.whisperx[187].start 6020.141
transcript.whisperx[187].end 6042.347
transcript.whisperx[187].text 那請主計總長說明就是說在這一次的財化法修法了以後這346億沒有辦法分配給地方政府的那行政院昨天院長有講了怎麼樣去解決這一些那如果這些錢要怎麼樣處理我想聽一聽那個主計長你的一個看法
transcript.whisperx[188].start 6043.494
transcript.whisperx[188].end 6068.093
transcript.whisperx[188].text 因為我們這個部分就是有跟財政部也有開過幾次的會財政部有表示就是說這346億目前是無法分配給地方政府那這個部分如果要分配給地方政府就必須要透過修法的一個動作那如果說要修法的部分我們在行政院這邊是有研擬整個一個財務法的整個修正
transcript.whisperx[189].start 6068.513
transcript.whisperx[189].end 6094.269
transcript.whisperx[189].text 因為為什麼因為當初的財化好修正就是在縣市之間非常的不均衡非常的不均衡就是說他分配的狀況就是落差非常的大主席長你應該要還原到為什麼這個修法會修成這個樣子那在去年的時候當初就是說整個修法的過程裡頭我們的那個預算的一個過程當中為什麼其實原則上來講
transcript.whisperx[190].start 6095.33
transcript.whisperx[190].end 6112.961
transcript.whisperx[190].text 就是公事有漏點啦這個是怎麼造成的誰提法誰提這個法案誰就要負責啊怎麼為什麼是行政院在修繕呢你這個分母22個縣市分子19個縣市你這個本來本來就會造成這個盲點啦
transcript.whisperx[191].start 6113.982
transcript.whisperx[191].end 6131.085
transcript.whisperx[191].text 是 所以這個部分所以院長也表示說這個修緩的部分行政院的部分沒有辦法來提案但是問題就是說整個一個財化法的整體的一個修正讓它更均衡這個部分財政部正在研擬當中不是 你這個文字怎麼對起來嘛
transcript.whisperx[192].start 6131.625
transcript.whisperx[192].end 6150.695
transcript.whisperx[192].text 修法為什麼會技術這麼差這個總是要有人負責那負責的人其實基本上你只要就是承認就是說當初在這個修法上面在這個預算審查上面就是說太草率了不然你現在怎麼修你怎麼修都是大家都不滿意
transcript.whisperx[193].start 6152.897
transcript.whisperx[193].end 6176.988
transcript.whisperx[193].text 對 所以這個部分我們財政部相關它已經有研擬新的一個財劃法的一個版本那這個版本我們也會近日那一面財政部會找相關的縣市來做一個討論之後然後來做一個定案那你有把握說你把地方的財政部找來的時候財政局找來的時候財政處找來的時候大家都可以理性講這些事嗎
transcript.whisperx[194].start 6177.628
transcript.whisperx[194].end 6195.287
transcript.whisperx[194].text 但是至少比較均衡好 至少比較均衡好 那你現在前者沒有辦法就是統一前者沒有辦法就是說做事的人沒有錢那這地方有錢可是事情還是留在中央這個怎麼辦
transcript.whisperx[195].start 6196.548
transcript.whisperx[195].end 6222.184
transcript.whisperx[195].text 所以现在目前市权它就是留在中央那钱已经分到地方但是这个部分除了这之外原来中央一直有补助原来是地方硬办的事项就是透过一般性补助和计划性补助来做补助 着以补助的部分所以这个部分我们今年才会做一个调整让它就是有一部分回归地方去自行负担
transcript.whisperx[196].start 6223.104
transcript.whisperx[196].end 6248.489
transcript.whisperx[196].text 是這樣 空姐主席長在這一次的財化法你這樣子的一個分配也造成南北的一個失衡那南部其實就是說有很多重要的建設其實都一直在進行就反而中央沒有機會來建設這一些該建設的所以我想這個是一個很大的困難那我們也希望就是說
transcript.whisperx[197].start 6249.529
transcript.whisperx[197].end 6267.51
transcript.whisperx[197].text 財政部要加油因為事實上這個我們面臨到一個大家都面臨到一個非常大的一個困境那我們也希望在野黨要理性不然你看嘛這個大家這樣子一直對立下去的時候其實這個影響到的就是一個國家那個一個
transcript.whisperx[198].start 6268.251
transcript.whisperx[198].end 6279.927
transcript.whisperx[198].text 严谨的一个进步我是不知道灭绝师太是什么可是我总是觉得你就是像那个王母娘娘一直在善财那我也觉得这个王母娘娘是慈悲的
transcript.whisperx[199].start 6281.55
transcript.whisperx[199].end 6303.164
transcript.whisperx[199].text 你很適合謝謝我也跟委員報告我們是因為新的財化法把一個行政院他一個去做均衡縣市一個經濟的一個部分的能力打破了所以現在目前我們只能還是做一些的一個彌補所以我們預計在均衡一般性補助裡面一個
transcript.whisperx[200].start 6303.824
transcript.whisperx[200].end 6322.185
transcript.whisperx[200].text 均衡補助辦法的還有考核獎勵金裡面來做一個彌補讓各縣市能夠恢復到114年度一般性補助加計劃型加統籌分配稅的一個水準以上好 主席長加油加油好 謝謝賴委員接下來我們請中央嘉賓委員
transcript.whisperx[201].start 6340.782
transcript.whisperx[201].end 6365.02
transcript.whisperx[201].text 好 主席在場的委員先進列席的政府經貿市長官員會長工作夥伴媒體記者女士先生我們請行政院主計總處陳主計長還有負責統計的看事三位處長綜合統計國事普查主計資訊三位處長來協助一下我們主計長委員好等一下三位好 主計長好 三位處長好
transcript.whisperx[202].start 6371.872
transcript.whisperx[202].end 6379.577
transcript.whisperx[202].text 主席長 人家說家有一老 爐有一寶請問故宮有國寶 人民家裡有什麼寶人民家裡的老人是什麼是領國民年金的保險我們一般說國寶 國寶不是說那個故宮的國寶你如果說你家裡有一個老大人 他是領國寶的我要請教你 你覺得他是不是寶你對國民年金了解嗎
transcript.whisperx[203].start 6402.548
transcript.whisperx[203].end 6413.86
transcript.whisperx[203].text 來 我跟你講一下一般人他如果沒有受雇沒有勞 軍公教勞 農保都沒有尤其是家庭主婦他在六十五歲之前每個月要繳一千兩百四十五的保費
transcript.whisperx[204].start 6415.329
transcript.whisperx[204].end 6436.582
transcript.whisperx[204].text 這是國民年金的保費然後健保要繳826一個月要負擔的健保加國保要負2000 超過2000但是超過60歲以上之後他只要繼續繳800多塊的保費然後平均每個月可以領幾副領差不多4000請問這樣的老人是不是國保是是國保 我們來看一下我們現在回到今天正題才化法
transcript.whisperx[205].start 6442.751
transcript.whisperx[205].end 6453.443
transcript.whisperx[205].text 市權劃分財源均衡我們主要是說我們要努力的提升但是很奇怪現在我們明年度的總預算現在在野黨還給你鴿子他們說什麼問題為什麼鴿子
transcript.whisperx[206].start 6457.776
transcript.whisperx[206].end 6475.548
transcript.whisperx[206].text 他們說去年通過兩個法要提高軍人待遇要提高警校退休給付沒有編載明年的預算然後就開始說怎樣要修財化法財化法是財政部管的對不對結果是你遭殃總預算他放在哪裡問題在我們往下看
transcript.whisperx[207].start 6476.991
transcript.whisperx[207].end 6494.616
transcript.whisperx[207].text 我們整個財化法的精神我們年度總預算的編列是不是中央協助地方分攤人民的負擔 是不是這樣子是人民的負擔 人民要繳健保保費人民要繳國保保費然後這個時候地方政府來幫人民分攤
transcript.whisperx[208].start 6495.663
transcript.whisperx[208].end 6519.604
transcript.whisperx[208].text 然後呢地方政府力有未待的我們中央政府來協助嘛這個是不是就是說你一般性補助款的精神你地方政府要幫人民負擔的就是你的支出在一般性補助款當中我中央考慮到你的能力有差異所以呢我就能力強的我給你協助少一點能力低的我給你協助多一點是不是這樣這是才華的精神嘛那你們也是根據這個方式來籌編預算嘛往下看好現在我們看一下剛剛的國保
transcript.whisperx[209].start 6522.149
transcript.whisperx[209].end 6544.327
transcript.whisperx[209].text 65歲以上的話你來看現在的勞動人口政府跟僱主幫他分攤七成的保費他自己分攤三成的保費如果說是沒有僱主的地方政府補助健保四成的保費中央政府補助四成的保費他自己要負擔六成的保費政府的這個是誰出 中央政府出嗎
transcript.whisperx[210].start 6545.563
transcript.whisperx[210].end 6572.415
transcript.whisperx[210].text 是不是這樣健保保衛是不是政府自成是中央政府嘛中央政府對不對但是地方政府現在有的很好他說你後來的這六成你吃六萬我給你倒分攤有沒有有沒有兩個縣市政府說你的六成我地方政府也幫你出有沒有有嘛對不對那能夠幫人民分攤這六成的地方政府財政好不好
transcript.whisperx[211].start 6574.291
transcript.whisperx[211].end 6599.546
transcript.whisperx[211].text 怎麼不好 他不好他怎麼幫他分攤四成是中央分攤 六成是人民分攤但是六十五歲之後有的地方政府說六十五歲 阿娜 你的六成不用分攤我幫你出能夠這樣講的地方財政好不好可以這樣講的地方的財政好不好一定夠好嘛 你就不跟我說他好他才敢幫他分攤嘛那像屏東不好的敢這樣講嗎
transcript.whisperx[212].start 6602.982
transcript.whisperx[212].end 6618.208
transcript.whisperx[212].text 所以我要問你的是說如果地方政府財政好到可以幫老人家分攤他的健保自負額你覺得這個地方政府還需要中央協助嗎應該不需要嘛逗了這半天你才聽得懂 往下看
transcript.whisperx[213].start 6619.927
transcript.whisperx[213].end 6646.839
transcript.whisperx[213].text 來 我們政府要協助什麼最弱勢的嘛所以地方政府他如果財力允許他人民的致富額的六成當中他會從什麼 深藏啦 中低啦 對不對這些人都很可憐嘛所以地方政府如果財政窘迫他沒辦法出嘛我們中央要一般性補助協助他嘛如果他的財源充裕我們中央政府怎樣他就直接幫助弱勢了嘛是不是這樣 往下看
transcript.whisperx[214].start 6647.759
transcript.whisperx[214].end 6670.851
transcript.whisperx[214].text 所以我們來舉例 大家可不可以聽說長庚集團 人家說台塑有世保在哪世保嗎 台亞我就不用念了誰最大 長庚的總管理處最大因為當年王永慶把台塑世保的股票10%以上都放在哪裡 長庚的總管理處長庚的總管理處是台塑世保的大老闆
transcript.whisperx[215].start 6672.025
transcript.whisperx[215].end 6700.954
transcript.whisperx[215].text 那長庚的各分院你還想如果是長庚各分院如果他財政分院比較差的總管理署給他支持對不對那如果說現在呢把這個股票直接交給分院分院就不需要總院了嘛是不是這樣子所以我發現啊 財化法啊中央統籌呢 本來在我們中央嘛現在呢 地方政府說你股票都給我啦 你不用給我鼓勵啦你股票給我 我就不用你幫忙是不是這樣有嗎 有這樣講嗎
transcript.whisperx[216].start 6702.606
transcript.whisperx[216].end 6730.81
transcript.whisperx[216].text 現在四千一百六十五億給了地方政府了統籌分給他了他有說你不用幫我補助啊你高票都給我我不用你幫我補助我直接拿高票 高金就夠了這樣可以嗎原則上是這樣啦但是事實上不是沒有嘛現在要求要一般性補助要維持嘛對嘛對不對我這樣講沒有錯吧本來長庚醫院總管理處有台塑世保的股票每年有很多的股息對不對你各個地方的
transcript.whisperx[217].start 6731.726
transcript.whisperx[217].end 6757.336
transcript.whisperx[217].text 長征分院財政差的我就支持你嘛現在你的股票都給我了股息我就自己領了還需要你中央嗎應該是不需要啦原則上應該不用好 結果我們現在看現在我們送進來的最新版的財化法這個陳雪珍說345億公司設算錯誤分配不出去對不對怎麼辦大部分這345億是不是應該給離島的
transcript.whisperx[218].start 6759.09
transcript.whisperx[218].end 6785.976
transcript.whisperx[218].text 居多嘛是好 那我們來看一下往下看現在有個金明年主張這345億應該給誰給每人每月領不到4000塊的國保年金的這些被保險人老人基本保證年金是4049這法律裡面算出來的這人要照顧嗎需要所以金明年他說來 往下看
transcript.whisperx[219].start 6786.806
transcript.whisperx[219].end 6813.479
transcript.whisperx[219].text 他說全台灣有國保年金212.5萬的人每個月領不到這麼多錢好那如果我們他把這樣排富跟什麼限制呢他就把他可以補到8000你覺得可行嗎要不要照顧是要照顧你現在能夠再挪出345億來照顧這些人嗎沒有辦法挪不出來那怎麼辦這些人要不要照顧往下看現在這345億我考你啦
transcript.whisperx[220].start 6817.52
transcript.whisperx[220].end 6830.479
transcript.whisperx[220].text 有一個方法是說把公司設算改正了就給離島的39萬人你支持嗎這一個第二個說現在有反年金改革退休的公教人員包括警校提高待遇這大概52萬人
transcript.whisperx[221].start 6832.298
transcript.whisperx[221].end 6850.322
transcript.whisperx[221].text 另外還有國保年金幾戶領不到8000塊的有200萬人你猜猜看你問你家的老人問你家的國保你覺得如果你有340億多出來他會要求政府優先照顧誰照顧39萬的離島人口照顧52萬的軍空要退休人員還是照顧每個月領不到8000的國保年金的國保原則上是讓你自由發揮一下應該是要優先照顧那個
transcript.whisperx[222].start 6863.055
transcript.whisperx[222].end 6889.984
transcript.whisperx[222].text 沒有領滿八千的啦領不到八千的嘛那如果說我們財化法說這三百四十五億修法說用來照顧這個國民年金的兩百萬人你支不支持可不可以支持我們財化法說現在三百四十五億分不出去了啊金平田說乾脆修法啦分給這些人讓他們每個月可以領到八千先不講法講你的個人的情感
transcript.whisperx[223].start 6891.072
transcript.whisperx[223].end 6915.609
transcript.whisperx[223].text 妳覺得 妳會認同嗎如果能夠給老年的幾戶增加我覺得這也是非常不可啦只是說以目前來修法的一個方向大概是不可行啦法是誰定的立法院定的立法院定的如果增加支出行政院要申請釋憲如果立法院定的法說要照顧老人家 妳會反對嗎不會嘛
transcript.whisperx[224].start 6918.652
transcript.whisperx[224].end 6942.381
transcript.whisperx[224].text 所以怎麼去定這個法怎麼讓國家有限的財源去照顧最需要照顧的人是不是你們主計總部要支持的那你怎麼知道誰最需要照顧你後面站一排人來看下一張你去算一下這些領定期退伍給予的這些人有多少人年齡分布怎麼樣他每個月收多少錢收五萬六萬七萬你把它算出來
transcript.whisperx[225].start 6943.762
transcript.whisperx[225].end 6972.074
transcript.whisperx[225].text 離島的人口有多少人他們的財富分佈所得分佈你算出來現在在領國民年金給付的有多少人他們的財富分佈你給他算出來用這個數字告訴人民誰最需要照顧最辛苦的人最需要照顧還是那些月齡五六萬週休七日日遊七國週遊列國的人需要照顧主席知道我的意思了沒有是
transcript.whisperx[226].start 6973.415
transcript.whisperx[226].end 6983.58
transcript.whisperx[226].text 這個資料什麼時候可以給我這個部分必須要由地方來提供因為我們統計調查都是屬於抽樣那抽樣的東西你算不出來嗎你不能跟考試院要嗎
transcript.whisperx[227].start 6985.286
transcript.whisperx[227].end 7010.101
transcript.whisperx[227].text 離島人口你算不出來嗎沒有關係你要負責讓全國人民知道離島的人口軍公教退休人口領國保的聯邦人口他們的財富情況如何所得狀況如何誰最需要領多一點可不可以你要怎麼做你的事情本席要求你一個月內提供可不可以
transcript.whisperx[228].start 7011.67
transcript.whisperx[228].end 7039.981
transcript.whisperx[228].text 不是盡量 絕對要提供要讓人民知道政府有欠的稅金要花在誰身上要花在國寶身上家有一老 爐有一寶這個寶是周遊七國還是月領不到四千想清楚 然後跟人民說明白好不好好 謝謝好 謝謝鍾委員鍾委員要的報告請主席長一個月之內答覆接下來我們請李燕秀委員
transcript.whisperx[229].start 7052.485
transcript.whisperx[229].end 7078.706
transcript.whisperx[229].text 謝謝昭緯 我可不可以請主席長我們請陳主席長委員好主席長辛苦了是 謝謝你主席長 今天有幾位委員其實也都非常關心幾個重要的數字因為數字的差異性其實都會影響到我必須再次強調所有主席處其實一過來每一個精準
transcript.whisperx[230].start 7079.927
transcript.whisperx[230].end 7100.195
transcript.whisperx[230].text 精準的數字都會變成我們政府施政也好或者是民間企業重要投資的指標我相信您大概聽懂我的意思跟話那我們先來看看主席處在10月8號公布9月份的物價指數今年9月份估計是1.25 CPI是1.25這也是創下過去從110年4月以來4年半的最低的漲幅
transcript.whisperx[231].start 7107.838
transcript.whisperx[231].end 7133.348
transcript.whisperx[231].text 也是已經連續5個月我們現在CPI已經低於2%的警戒值所以這個數字當然維持得很好但是組計處也表示說這會不會是暫時性的因素包括像譬如說我們中秋節今年是在10月去年是在9月所以跟同期期相比其實看起來是比較低的包括譬如說機票國內外旅遊隨著暑假旺季然後就回跌
transcript.whisperx[232].start 7133.888
transcript.whisperx[232].end 7147.617
transcript.whisperx[232].text 所以我想我們也會評估到會不會是暫時性的因素所以通膨被壓低會不會只是曇花一現所以包括我們今年下休包括今年全年的CPI是1.88
transcript.whisperx[233].start 7149.358
transcript.whisperx[233].end 7170.714
transcript.whisperx[233].text 那央行目前預估通膨大概今年會1.75所以我想請問一下就是說主席講央行估計是1.75那我們今年5月份預估是1.88那我們還會不會再向下調整我們預估前年是1.76明年大概也是1.64
transcript.whisperx[234].start 7174.116
transcript.whisperx[234].end 7201.708
transcript.whisperx[234].text 今年我指的是今年因為央行估計的是1.75我們在5月份預估是1.88那你預估全年度會不會再下修到目前為止1至9月是1.77然後我們全年預估是1.76然後明年是預估1.64這樣子所以明年通膨會更低對因為主要是因為
transcript.whisperx[235].start 7203.208
transcript.whisperx[235].end 7220.138
transcript.whisperx[235].text 整個一個國際的一個油價還有一個原物料它的下降影響而且我們的品項是368項所以它範圍很大但是呢我們其實也有針對民生的一個部分分別發布說肉類啦
transcript.whisperx[236].start 7222.159
transcript.whisperx[236].end 7237.066
transcript.whisperx[236].text 這個就是我要講我已經聽到你今年全年你也往下調整明年你也預估出來會更低CPI會更低1.6多而已這是好事但是民生的物價就是接下來我要跟主席講探討的
transcript.whisperx[237].start 7238.326
transcript.whisperx[237].end 7263.009
transcript.whisperx[237].text 看起來我們許多數字其實非常好但是我們回過頭來看包括今年的豬肉 雞肉包括我們豬肉的漲幅就達到8.7雞蛋的漲幅5.9素食麵 泡麵的漲幅是2.0麵包的漲幅是4.7包括我們常在吃藥的所有看醫生吃藥都會配一顆胃藥胃藥漲幅達到8.7也就是說民生用品的通膨
transcript.whisperx[238].start 7264.21
transcript.whisperx[238].end 7281.478
transcript.whisperx[238].text 其實是高的達到整年度上升了2.47所以主席講就是說政府的很多數字很好但是我們更擔心人民在消費力的感受上覺得沒有啊 物價都在上漲所以我覺得
transcript.whisperx[239].start 7283.019
transcript.whisperx[239].end 7301.333
transcript.whisperx[239].text 事實的很多數據不斷的公佈怎麼去做政策方面的調整包括經濟部農業部在物價剛剛我講的重要的民生的一些指標豬肉街我們怎麼樣去做更好的調控政府用他可以用的工具做更好的調控恐怕是我們要隨時去做更多數字的
transcript.whisperx[240].start 7302.514
transcript.whisperx[240].end 7322.928
transcript.whisperx[240].text 微調或者是關注這些數字這是我要提醒主席長的地方主要重要民生物資的部分我們也都有公布就是所謂主要民生重要的一個17項一個民生那個需求的部分還有我知道我知道因為我今天要問的議題很多所以我只是要提醒
transcript.whisperx[241].start 7323.508
transcript.whisperx[241].end 7340.163
transcript.whisperx[241].text 這些數字出來之後應該轉給經濟部也好農業部也好去做一些因為民生物價很高包括豬的費用高外食族的費用高這些基本的豬肉雞肉蛋這些很高我們怎麼樣在相關部會去做一些政策上的調整
transcript.whisperx[242].start 7341.525
transcript.whisperx[242].end 7364.406
transcript.whisperx[242].text 這個是要隨時去你的數字出來就是要轉給各部會市政方向調整應該趕快去做處理第二個我要請問一下主計長包括我們今年的包括實質性的經常性薪資這幾年過去都是副成長好不容易從2024年開始轉正現在的經常性的薪資今年度是47709
transcript.whisperx[243].start 7366.748
transcript.whisperx[243].end 7369.97
transcript.whisperx[243].text 好不容易我們轉正成長成長了1.12%所以是持續在成長所以包括我們今年度也好整個國際局勢的轉換轉變變化也非常的快所以我想請問主計長我們今年全年度的實質經常性的薪資是不是還可以維持正成長你今年我到目前為止我看到是成長1.12%我們今年實質性的薪資是4萬
transcript.whisperx[244].start 7394.904
transcript.whisperx[244].end 7412.921
transcript.whisperx[244].text 扣除物價是1.12%整年度也是會成長我們預計也是這樣子大概是多少 會不會超過2%應該不會 應該差不多1.1%那會比1.12%還高嗎高一點點而已高一點大概是多少應該也是接近這個水準
transcript.whisperx[245].start 7414.81
transcript.whisperx[245].end 7435.036
transcript.whisperx[245].text 差不多 因為我們現在是做預測我知道 我知道預測因為國際局勢的變化很快速但是你的每一個指標都關係到很多民間的投資 人民的感受所以你講差不多 我不知道差異是多因為有時候差0.2 0.3 0.5應該是很小 很微小差不多1.1多
transcript.whisperx[246].start 7441.658
transcript.whisperx[246].end 7468.287
transcript.whisperx[246].text 好 就差不多那就0.01%的差距好 那主席長我第三個問題要請教你總統在這次國慶的報告上他有提到就是說雖然面臨國際的局勢但是我們經濟成長仍舊是在四小龍之首我們排在第一位四小龍之第一名也超越了中國大陸我們今年利用亞洲開發銀行的報告我們經濟成長率是上收到5.1這是好事
transcript.whisperx[247].start 7470.848
transcript.whisperx[247].end 7482.855
transcript.whisperx[247].text 那足技厝在8月的時候才上修我們經濟成長率是4.45所以我們現在數字會不會去做調整你認為亞洲銀行的數據會不會過於樂觀
transcript.whisperx[248].start 7486.357
transcript.whisperx[248].end 7504.427
transcript.whisperx[248].text 亞銀的是5.1我們評估是4.45然後央行是4.5目前是這樣但是應該是會有往上升的趨勢但是是不是能夠達到5.1我們是有一點比較那你預估會是多少我們預估是4.45但是我是覺得它會超過4.5超過4.5才多0.05
transcript.whisperx[249].start 7509.909
transcript.whisperx[249].end 7517.392
transcript.whisperx[249].text 那他的估計就太過樂觀了可是總統覺得他的數字假如報告是他的數字他不是有你的數字區計你5組織長5.1跟4.45或4.5其實是差距很大0.5是差距很大的
transcript.whisperx[250].start 7531.97
transcript.whisperx[250].end 7550.026
transcript.whisperx[250].text 對 所以因為以目前的趨勢他並沒有萎縮很多所以這個以一個出口的一個來講樂觀是好事但是雅英的數字是很樂觀你會不會覺得他過於樂觀所以我們是比較保守是我們才4.5所以總統是太樂觀
transcript.whisperx[251].start 7552.005
transcript.whisperx[251].end 7581.42
transcript.whisperx[251].text 因为这是亚洲银行提供的数据它只是依据这个数据来说明那你比较保守你要不要再稍微乐观一点会再成长主席长因为我要提的您的数字是国家的望远镜像我们企业界就很多常常我听到企业各产业就在讲说现在好像报现金比较好不敢太调整因为你上半年度说我们上半年我记得有一个数字说下半年能保一就不错全年保三下半年保一
transcript.whisperx[252].start 7581.94
transcript.whisperx[252].end 7605.587
transcript.whisperx[252].text 所以很多產業界聽到這個數字就不敢投資報現金這個都是自然的心態我也知道局勢國際局勢變化非常快但是我就要提醒您是國家的很多重要政策的望眼鏡您看好看壞每個數字都會影響到產業界所以我們一直做在觀察然後一直在評估好我最後一個問題
transcript.whisperx[253].start 7606.767
transcript.whisperx[253].end 7627.501
transcript.whisperx[253].text 所以我覺得這個政策我覺得隨時數字要隨時公佈隨時我覺得參考國際的數字央行的數字我們不能過於保守也不能太樂觀所以怎麼樣是一個好的拿捏一個獨立機構我們應該有的能夠建立更多的公信力我要提醒主席講
transcript.whisperx[254].start 7628.381
transcript.whisperx[254].end 7643.214
transcript.whisperx[254].text 要去做一些調整如果連總統都要用亞營的數字不是用你的數字那我就會覺得很奇怪這是我要提醒您的地方我最後一個主席講我們在今年7月通過我們通過一筆特別預算就是強化社會經濟總共是5500億
transcript.whisperx[255].start 7645.916
transcript.whisperx[255].end 7663.501
transcript.whisperx[255].text 那當時您提到的我們會有舉賽的部分達到一千零六億那但是我們當時是因為年中的時候我們對明年的這個穗積聖雲的狀況還不確定但是看起來到今年八月底我們今年明年可能
transcript.whisperx[256].start 7664.261
transcript.whisperx[256].end 7683.042
transcript.whisperx[256].text 不一定會比今年好但是也不會太差所以我要請問你明年會不會不需要借那麼多就明年六月份我們會還債會不會不需要借到一千零六億會不會只需要借到一半或甚至更少您的預估數字是怎麼樣因為明年稅金剩餘可能跟今年不會差異太大我希望得到您的答案
transcript.whisperx[257].start 7683.522
transcript.whisperx[257].end 7709.499
transcript.whisperx[257].text 不是 因为譬如说我们今年114年度剩余但是那个是要优先还债还债里面是1415扩掉之后它剩余只剩下164亿以114年度来讲但是我现在的部分我现在是以113年度这都还没有审定我要运用它我必须要等到审计部审定之后这个剩余我才能够运用所以要等
transcript.whisperx[258].start 7709.719
transcript.whisperx[258].end 7728.138
transcript.whisperx[258].text 我知道所以你的預估數字很重要你當時預估的數字說我們可能要舉債我沒有要跟你吵架我需要知道那個數字當時你說我們要舉債因為明年的數字怎麼樣還不知道現在已經十月了我們大概可以知道今年年底大概是一個什麼樣的狀況稅率的狀況大概還是稅收超徵
transcript.whisperx[259].start 7732.742
transcript.whisperx[259].end 7750.514
transcript.whisperx[259].text 所以說沒有辦法超徵我聽財政部長他表示說今年要達到預算數是有點困難所以這個部分但是我們今年各項指標的數字是不錯局長為什麼會這樣提因為你們10月可能還會送進來一個軍購的特別預算要達到GDP的5%
transcript.whisperx[260].start 7753.016
transcript.whisperx[260].end 7782.642
transcript.whisperx[260].text 一兆元所以那个每个我们的取债的部分是我特别长期关注的部分那明年到底可以还多少这些数字都会牵动到未来我们立法院审定其他特别预算到底取债要多少我们应该同意多少整个财政纪律是相对的重要所以我用我想我会希望知道这个数字最主要的原因在这里如果可以的话我希望会后有机会跟主席同仁再进一步去做更进一步的讨论好不好谢谢主席长谢谢委员谢谢
transcript.whisperx[261].start 7783.463
transcript.whisperx[261].end 7788.109
transcript.whisperx[261].text 謝謝李委員 謝謝主席長接下來有請李昭偉 昆城委員質詢謝謝主席我們請陳主席長有請陳主席長
transcript.whisperx[262].start 7804.454
transcript.whisperx[262].end 7823.535
transcript.whisperx[262].text 委員好主席長好請教一下主席長因為去年底在野黨倉促修法這個財化法造成了許多的問題現在除了說有關公視的錯誤在野黨他們自己會提修法之外這兩天我也聽到我們卓院長講未來行政院會提出自己版本的財化法嗎
transcript.whisperx[263].start 7824.525
transcript.whisperx[263].end 7844.985
transcript.whisperx[263].text 是原則上財政部目前已經都在研擬當中那國發會也針對一般補助和計劃型補助的相關的一個事權一直在檢討所以這個部分我們也都參與在討論那這個部分近期財政部希望說跟縣市再討論再召開縣市來做一個討論然後之後再來做一個決定
transcript.whisperx[264].start 7847.868
transcript.whisperx[264].end 7863.401
transcript.whisperx[264].text 不過主席長我跟你講這會有時間上的壓力就是說你可能沒辦法就是說還有很充裕的時間再找各個縣市再來討論這個才化法因為現在在野黨他們也會再提自己的才化法的版本出來
transcript.whisperx[265].start 7864.562
transcript.whisperx[265].end 7893.681
transcript.whisperx[265].text 如果按照他們現在要提的財劃法的版本就是他們在給各縣市的一般性的補助款不得低於前一年的金額然後計劃型的補助款的補助比率不得低於過去十年同財力集賜的縣市還有同類型計劃的平均值今天下午可能超越協商就會討論所以我跟你講我們要提出我們自己的願版的財劃法
transcript.whisperx[266].start 7894.822
transcript.whisperx[266].end 7920.001
transcript.whisperx[266].text 直接上面有壓力那如果按照這一檔他們所提出來的才華法的話會產生什麼樣的問題因為這執行上是有困難的因為像計畫型的補助是根據各縣市的一個需求然後它是有變動因為執行譬如說有的執行兩年一年之後它這計畫就不執行就要換新的計畫所以沒有辦法說保持一定的額度各縣市保持一定的額度而是必須要看
transcript.whisperx[267].start 7920.501
transcript.whisperx[267].end 7944.631
transcript.whisperx[267].text 各縣市實際的需求然後還包括各縣市的財力的分級狀況來做分配以財化法之後它整個財力分級是已經改變了是沒有辦法維持去年或是以前10年舊的財化法分配的額度所以這個部分都必須要做重新的修正尤其你計劃的部分維持不變的額度
transcript.whisperx[268].start 7947.072
transcript.whisperx[268].end 7954.898
transcript.whisperx[268].text 各縣是為此不便而渡這是實際上是有困難的對 所以實際上我跟你講就是說會遇到在野黨他們如果再提出版本的話那就會產生一些新的問題所以我才說我們不論是財政部或是主計處我們對於這個願版的財化法其實沒有很多的時間可以再慢慢的琢磨可能就必須要在這個短的時間裡面
transcript.whisperx[269].start 7973.553
transcript.whisperx[269].end 8000.57
transcript.whisperx[269].text 要我們自己一個願版要提出來我們才有辦法跟外界來討論不然就會變成只有在野黨的版本那在野黨版本就像剛剛主席長所講的還是會有問題不論是他們這個一般性的補助款或是計畫性補助款的那個比例還是會產生問題所以我是先跟主席長講這個現在是10月底了這個我們自己願版的版本可能在11月份左右我覺得大家要準備了
transcript.whisperx[270].start 8001.35
transcript.whisperx[270].end 8022.022
transcript.whisperx[270].text 有這個部分財政部都已經在充分的一個研究所以這個本身的一個他的一個提出的一個實證這個部分我們會回去轉告就是院裡頭請他這個部分是不是能夠加快我覺得不會留太多時間給我們那再請教一下主計長你剛有提到就是說因為我們希望說財權跟事權在這個《財務法》的劃分之下能夠做這一個適當的移轉
transcript.whisperx[271].start 8028.746
transcript.whisperx[271].end 8044.512
transcript.whisperx[271].text 但是有一些就像你講的必須要修法我請教你就是說我們有關這一個基本財政收支短差部分我們說要回歸給地方指引譬如說像農保 老農津貼國民年金等等這些要不要修法
transcript.whisperx[272].start 8045.103
transcript.whisperx[272].end 8060.804
transcript.whisperx[272].text 要修法如果說我們希望說財權跟事權能夠劃分有些是屬於地方的希望回歸到地方但是你們有去了解或去統整的到底修法的哪一些法律條文必須要做修改
transcript.whisperx[273].start 8061.906
transcript.whisperx[273].end 8088.868
transcript.whisperx[273].text 現在原則上原來省政府的部分是11%原來縣政府的部分是4%所以整個財源移出15%那省政府的市權包括原來省立的高中職省立高中職現在是國立高中職是中央在負擔縱使直轄市它有一些是變成市立但是還是中央在補助那還有一個是勞健保的一個補助 榮保
transcript.whisperx[274].start 8089.969
transcript.whisperx[274].end 8118.608
transcript.whisperx[274].text 劳健保 劳融津贴那这些都必须要相关修相关的作用法所以你们有修法的信单出来了吗这个部分修法的部分还必须要各部会来提出但是目前光是以一般性补助属于县市应办的事项要回归就碰到很大的阻碍对 所以这个要修法的部分我也请这个我们财政部我们主计处要赶快要整理出来
transcript.whisperx[275].start 8118.888
transcript.whisperx[275].end 8135.279
transcript.whisperx[275].text 因为我们也要跟外界讲说我们希望说事权财权能够分清楚但是有一些是属于地方那属于地方的又必须要经过修法才能够移转给他们不需要 属于地方一般的事项我们透过一般性补助 透过计划我刚才讲的那些法
transcript.whisperx[276].start 8136.38
transcript.whisperx[276].end 8148.771
transcript.whisperx[276].text 對 剛剛那些法必須透過修法所以這個部分是國發會事權的部分是國發會在負責國發會現在都已經在在檢討說哪些一個事權必須要修法的那這個清單大概哪時候會確定
transcript.whisperx[277].start 8152.134
transcript.whisperx[277].end 8176.829
transcript.whisperx[277].text 這個部分國化會已經在進行中同樣再強調我們時間不多了我覺得這個東西如果我們要跟大家講就是說有一些必須要移轉到這個地方但是必須要修法的我覺得那個清單你要趕快出來那剛有些就是說不需要修法就是說按照我們這個地方制度法第18條第19條規定有些教育文化社會福利水利道路交通事項
transcript.whisperx[278].start 8177.429
transcript.whisperx[278].end 8195.452
transcript.whisperx[278].text 是屬於縣市政府的知識事項按照統法70條的規定應該以其自有的財源優先編列預算的支應那這部分的話就不用修法了是 這部分是不需要修法直接回歸由縣市的一個所獲得的統籌分配稅來支應即可
transcript.whisperx[279].start 8195.652
transcript.whisperx[279].end 8212.462
transcript.whisperx[279].text 但是要講清楚因為之前就發生了說那為什麼這個冷氣以前就是由中央來出的那現在由地方來出或是說這個營養午餐以前中央出的為什麼現在由地方來出要講清楚如果講不清楚的話變成中央又挨打就是說你看
transcript.whisperx[280].start 8213.649
transcript.whisperx[280].end 8231.41
transcript.whisperx[280].text 至少我知道的水電費 學校的午餐費國產可溯源的食材 冷氣費 維護費這些等等這些有一些按照地方支持事項的它就必須要回歸到地方來做處理但是我沒有講清楚
transcript.whisperx[281].start 8232.691
transcript.whisperx[281].end 8246.301
transcript.whisperx[281].text 或是說外界不知道或是各個縣市政府他們可能也都知道了也應該都知道了但是他就不管你反正我就先跟你吵就是說這本來應該中央出的那為什麼後來變成地方要出了然後變成地方政府的首長
transcript.whisperx[282].start 8247.882
transcript.whisperx[282].end 8268.934
transcript.whisperx[282].text 又自己又做紅包做這個善台同職就說沒關係中央不出我地方來出就變成這樣子你知道嗎我們應該說應該是由地方來出的那結果地方就說你看中央都不出然後後來就說沒關係我自己地方可以來出因為現在地方錢比較多了本來就可以來出所以我覺得這部分主席總書要說清楚
transcript.whisperx[283].start 8269.654
transcript.whisperx[283].end 8270.515
transcript.whisperx[283].text 所以主席長我跟你講
transcript.whisperx[284].start 8288.613
transcript.whisperx[284].end 8309.925
transcript.whisperx[284].text 縣市政府他們知道他們的主席財政都知道但是這是一個政治的議題這不是說他們知道我跟你講有些縣市首長他就是知道他一樣跟你講說為什麼以前是中央出的現在變地方出了所以我們要先講要先跟大家講清楚就是說為什麼現在以前由中央出中央出也不是這個義務要出的
transcript.whisperx[285].start 8310.865
transcript.whisperx[285].end 8329.261
transcript.whisperx[285].text 中央是认为说地方钱不够中央来出可是按照这个地方制度法相关的规定本来就应该有地方来出那现在如果地方有这个钱的地方来出是合理对不对我觉得这个已经挨了好几次闷棍了这个中央政府要学乖那我最后请教一下这个我们物价
transcript.whisperx[286].start 8330.021
transcript.whisperx[286].end 8348.012
transcript.whisperx[286].text 雖然我看你們的物價統計CPI一到九月較去年同期漲了1.77%但是我們的核心的CPI漲得比較多我們至少每個月購買一次者上漲2.74%就包含蘇國外食醫療費用的漲幅這個民眾會覺得說
transcript.whisperx[287].start 8356.656
transcript.whisperx[287].end 8374.843
transcript.whisperx[287].text 我們現在的物價真的是偏高就我們自己在外面不論是外食或是說是買東西或吃東西等等之類的感覺上物價沒有像我們數字報告上面的好像說一點多而已好像也沒有到2%的警戒值
transcript.whisperx[288].start 8376.184
transcript.whisperx[288].end 8393.923
transcript.whisperx[288].text 那這個部分我要請這個主計總署可能你們要稍微就是考量一下當然我知道說你們有針對一些重要的民生物價你們有做一些我們有公佈有公佈啦譬如說可是我看外食的費用啦什麼豬肉的費用啦水果水果的費用啦
transcript.whisperx[289].start 8394.843
transcript.whisperx[289].end 8420.303
transcript.whisperx[289].text 这10个月来每个月都增加这对于老百姓来讲是一个很大的负担但是它已经逐渐在回稳当中像去年的话一般石油还有一些原物料它是高涨但是今年都回稳逐渐降低很多像水果蔬菜是受台风或灾害的影响最大它也会逐渐回稳
transcript.whisperx[290].start 8421.164
transcript.whisperx[290].end 8438.772
transcript.whisperx[290].text 主席長 數字看起來好像回穩但是對於民眾的心理的感受來講物價是偏高的目前是 外食會是偏高的對啊 這個我們自己要注意一下就是不要數字跟民眾的心理感受偏差太遠是 OK好 謝謝 謝謝主席長好 謝謝趙偉 謝謝主席長接下來有請顏委員寬恒質詢
transcript.whisperx[291].start 8458.207
transcript.whisperx[291].end 8478.064
transcript.whisperx[291].text 主席各位列席觀眾大家好主席有請主席長我們請陳主席長委員好主席長早是主計總署公佈8月份失業率再度走升到3.45%是比7月份高也是近一年的新高失業人數41.5萬比7月增加6000人
transcript.whisperx[292].start 8482.388
transcript.whisperx[292].end 8501.137
transcript.whisperx[292].text 工時不足就業人數有12.1萬月增4000人創今年以來新高除了畢業生投入職場推升失業率還有無薪假人數也變多了這種情況表示說關稅的影響已經開始發酵衝擊我國出口產業以及進口的物價同時
transcript.whisperx[293].start 8506.279
transcript.whisperx[293].end 8518.946
transcript.whisperx[293].text 國內也面臨電價油價原物料及食品價格上漲那整體的CPI維持高檔那面對這種情況我認為說主席總署作為政府經濟數據分析與預測的重要機關有責任就關稅變動對我國通膨
transcript.whisperx[294].start 8526.03
transcript.whisperx[294].end 8544.298
transcript.whisperx[294].text 產業鏈與民生經濟的影響進行完整評估與預警請教主席長目前是否已針對美中貿易戰持續擴大美國對電動車半導體鋼鋁製品等項目加徵關稅進行跨部會的衝擊模擬有沒有相關的報告
transcript.whisperx[295].start 8545.845
transcript.whisperx[295].end 8573.296
transcript.whisperx[295].text 這個部分是因為它是涉及到關稅的部分它一向都是由副院長在主持這個部分那這個部分我們在討論的時候說有針對傳統產業因為傳統產業影響是比較大而且它目前很早就顯現出來所以說主委長有沒有這個進行跨部會的一個衝擊模擬那相關的報告可不可以給我辦公室提供是我們這個部分我們就有這個報告嗎有嗎
transcript.whisperx[296].start 8575
transcript.whisperx[296].end 8586.836
transcript.whisperx[296].text 目前是沒有這個報告我們是不是請相關的單位來提供那請提供給我再來就是關稅變動影響外銷那也藉由
transcript.whisperx[297].start 8588.737
transcript.whisperx[297].end 8614.814
transcript.whisperx[297].text 透過這樣子的一個進口成本進口的成本來推升國內的這些物價所以我要提醒主計長剛剛提到的這些相關的製造業包含食品 農產品 家電 汽車零組件都直接關乎民生如果不及早掌握與預警年底的CPI恐怕會再突破兩趴那最後受害的都還是民眾不能一拖再拖說關稅還沒有談完這樣子的說法這說法是
transcript.whisperx[298].start 8619.157
transcript.whisperx[298].end 8641.716
transcript.whisperx[298].text 不能夠被接受希望在未來的一個報告當中納入完整的一個關稅衝擊分析就我剛剛跟你說的跨部會的一個衝擊模擬提供給其他部會完整的一個關稅衝擊分析提供給其他部會相關的建議重點就是要減輕對企業還有民眾的一個衝擊可不可以
transcript.whisperx[299].start 8642.726
transcript.whisperx[299].end 8660.391
transcript.whisperx[299].text 這個部分我們其實我們雖然韌性特別預算還沒有通過但是有一些相關經費事實上就已經在進行了所以這個部分對於傳統產業的一些相關的一個補助或協助的措施都已經展開了並不是說現在在原地不動不是這樣的
transcript.whisperx[300].start 8660.791
transcript.whisperx[300].end 8684.726
transcript.whisperx[300].text 所以這個部分我跟委員報告這個部分像經濟部它對中小企業相關的一個貸款的一個補助各方面產業的一個協助這方面他們都已經啟動了好 上週處理任性特別預算中這個補發現金一萬塊能夠提供多少的這個GDP的增幅你跟國發會就有不同的看法
transcript.whisperx[301].start 8686.206
transcript.whisperx[301].end 8700.592
transcript.whisperx[301].text 國發會預估是會成長0.415%那主計總數評估是會增加0.65那都是正向的那就代表說有刺激到整體的經濟那可不可以請你說明一下
transcript.whisperx[302].start 8701.977
transcript.whisperx[302].end 8718
transcript.whisperx[302].text 我要再說明一下就是國化會是針對花1萬塊的部分它是去估的部分那我們是針對5500億除了這個1萬塊之外還有投注下去的它會產生0.65的一個GDP的影響
transcript.whisperx[303].start 8718.641
transcript.whisperx[303].end 8738.595
transcript.whisperx[303].text 所以兩個合計起來是1.1個百分比的一個影響所以等於是說我還有一個任性的一個國防任性的一個部分還有一個就是發放現金的部分國防會是針對發放現金的部分來評估那我們是針對發放現金之外來做評估所以兩個的評估點是不一樣的
transcript.whisperx[304].start 8739.534
transcript.whisperx[304].end 8745.982
transcript.whisperx[304].text 好的 財政部預估說最快發放的時間是在11月中旬請教一下這個時間會不會影響你對GDP的一個預估
transcript.whisperx[305].start 8750.014
transcript.whisperx[305].end 8769.298
transcript.whisperx[305].text 因為我們預估點大部分就是說他會分114或115因為他有分三個年度在執行所以本身如果是屬於國安任性的部分他是比較偏後面115或116的一個影響如果是法案信心他會比較偏在114和115的一個影響好的
transcript.whisperx[306].start 8773.607
transcript.whisperx[306].end 8779.17
transcript.whisperx[306].text 主席 可不可以請沈記長跟主記長一起 謝謝我們請沈記長
transcript.whisperx[307].start 8787.002
transcript.whisperx[307].end 8809.249
transcript.whisperx[307].text 在這邊先恭喜沈記長留任這也代表說大家對你的信任同時沈記長也時常針對預算濫用的部分直言不諱所以希望未來的時間你也能夠繼續好好的監督整個政府的施政請教兩位一般性補助款違法定義務支出
transcript.whisperx[308].start 8809.969
transcript.whisperx[308].end 8813.575
transcript.whisperx[308].text 那中央可以隨便刪減嗎 可以嗎兩位 署計長跟審計長
transcript.whisperx[309].start 8815.452
transcript.whisperx[309].end 8840.314
transcript.whisperx[309].text 我要跟委員報告因為依照地方制度還有一個財政紀律法一個相關的一個財劃法相關的規定是說它對於地方應辦的事項著於補助著於補助不是說我一定要補助是著於補助所以我們一般性補助款和計畫性補助款它的重點是在均衡各縣市的一個經濟
transcript.whisperx[310].start 8842.403
transcript.whisperx[310].end 8858.66
transcript.whisperx[310].text 平衡平衡所以讓每一個國民都能夠得到均衡的照顧那所以呢分的比較多的部分他一定是要分的要分配在財力集資的一個分配下他在一般性的補助就應該要著以減少這樣子來那請沈記長
transcript.whisperx[311].start 8861.53
transcript.whisperx[311].end 8889.923
transcript.whisperx[311].text 大概這個114年的這個636億大院都一直很關注行政院這邊提出追加 通過我想能夠趕快分配到各縣市去再按照計畫分配縣市這個問題就可以處理完成我們都知道法條都寫得很清楚一般性補助款立法院沒有資格刪中央機關 中央政府也沒有
transcript.whisperx[312].start 8891.096
transcript.whisperx[312].end 8898.889
transcript.whisperx[312].text 所以應該要按照預算的編制或者是預算的審議來進行依照法律的規定來執行
transcript.whisperx[313].start 8901.616
transcript.whisperx[313].end 8921.072
transcript.whisperx[313].text 一般性補助款不要把民眾這個對於政府地方政府一些弱勢需要長期照顧的這些特定的群眾跟族群但是不要苛扣這些補助款這些都是攸關地方民生議題的一個經費不要把民眾的生活納入這種
transcript.whisperx[314].start 8922.403
transcript.whisperx[314].end 8940.678
transcript.whisperx[314].text 政治攻防當中這樣只會造成讓需要這筆這樣一個補助款過日子的民眾更辛苦所以我想請兩位把一般性補助款刪減這個議題分別給我一篇報告給我辦公室好不好好
transcript.whisperx[315].start 8943.091
transcript.whisperx[315].end 8955.22
transcript.whisperx[315].text 我想請主席長你不要把回應新聞的東西寫在裡面新聞上的我都有看到針對一般性補助款刪減的議題一份給我主席長請回主席長請回
transcript.whisperx[316].start 8962.898
transcript.whisperx[316].end 8980.365
transcript.whisperx[316].text 我再請教那個因為我們台中捷運南線依照原本的比例去計算明年中央應該要補助台中新台幣42億但是最後卻只承諾合撥1.68億短少了高達96%
transcript.whisperx[317].start 8984.767
transcript.whisperx[317].end 9001.164
transcript.whisperx[317].text 那這種做法等於是嚴重的違背中央跟地方的合作承諾也直接衝擊到台中捷運南線的一個建設時程那台中市民不是次等公民因為台中市作為全國人口第二多的直轄市中央政府沒有任何理由刪減這筆補助款
transcript.whisperx[318].start 9003.286
transcript.whisperx[318].end 9031.047
transcript.whisperx[318].text 那國人的眼睛都是雪亮的請中央政府不要大小眼那尤其捷運南線是台中市一個重大的一個建設可以串聯海線 山線跟市中心那不僅能夠緩解交通擁捨更能夠促進地方發展帶動產業的投資南線越早完工台中市民就能夠享受這樣子一個便利那相反的如果因為中央這樣子的刁難或者拖延
transcript.whisperx[319].start 9031.807
transcript.whisperx[319].end 9046.238
transcript.whisperx[319].text 不只是通勤族的受苦台中的經濟 觀光產業都會受到影響這是一件非常嚴重的事情所以我想在這邊我要再次先請主計長跟交通部
transcript.whisperx[320].start 9047.159
transcript.whisperx[320].end 9068.389
transcript.whisperx[320].text 好好的溝通好不好謝謝 謝謝那省計長這邊政府在推動新青安貸款當初的構想是想要幫助無殼蝸牛買屋我們看到省計部決算報告中新青安有貸後短壽的情形
transcript.whisperx[321].start 9069.389
transcript.whisperx[321].end 9089.463
transcript.whisperx[321].text 而且貸款者的房價負擔比例偏低者跟過低者合計有達到3成5已經超過合理的一個負擔範圍那對於新青安優惠的利率寬鬆的條件那財政部在去年中也緊急踩煞車
transcript.whisperx[322].start 9090.564
transcript.whisperx[322].end 9110.842
transcript.whisperx[322].text 那要求這些生貸戶必須竊竭要用於自住變成一生現貸一次等要求銀行清查違規貸款並且追回補貼利息那到今年二月底總計查核三波那連同舊青安追回的利息金額達到兩千七百多萬那這些情況
transcript.whisperx[323].start 9115.442
transcript.whisperx[323].end 9142.973
transcript.whisperx[323].text 想要請教沈記長就是說是不是說一旦寬限期屆滿這些一定會有增加核待戶的這個房貸風險新清安政策應該要通盤檢討措施以及這個錢存信用風險精準的協助無自用住宅的一個無自用住宅者購屋這樣才能夠真正的來幫助到需要幫助的人
transcript.whisperx[324].start 9144.533
transcript.whisperx[324].end 9171.748
transcript.whisperx[324].text 而不是說變成一個變相的帶頭炒房的政策是不是這樣子報告二位委員我們一直新清安的現象出來以前我們一直注意到這個現象所以我們去查了大概有一千多戶都會住住所以我們也請他來我們會照為的意思繼續關心新清安的貸款的問題來協助政府推動整個住宅政策
transcript.whisperx[325].start 9174.575
transcript.whisperx[325].end 9192.083
transcript.whisperx[325].text 谢谢严委员我们接下来请黄三三委员谢谢主席我请主席长我们请陈主席长
transcript.whisperx[326].start 9197.611
transcript.whisperx[326].end 9222.138
transcript.whisperx[326].text 主席長早 我想今天大家都非常關心就是剛剛很多委員都談到的是裁劃法裁劃法在去年年底通過到現在已經十個月了這十個月我剛剛聽到主席長說有關事權還在修法 還在討論我想請問這一年了去年年底通過去年四月我們就提案了
transcript.whisperx[327].start 9223.518
transcript.whisperx[327].end 9236.503
transcript.whisperx[327].text 行政院非常清楚立法院的態度我們這對法律法本來就要修正你們也是說要去統合事權要做修法但是從通過到現在整整十個月這十個月是在睡覺嗎這十個月現在還在告訴我們說我們還要再去討論然後前天才聽到
transcript.whisperx[328].start 9245.615
transcript.whisperx[328].end 9256.591
transcript.whisperx[328].text 行政院說我要提版本主席長我在這邊已經講了請你們提版本講了不下百次了你們什麼時候要提版本現在還在做事權修法這一年都在睡覺嗎
transcript.whisperx[329].start 9258.295
transcript.whisperx[329].end 9276.437
transcript.whisperx[329].text 这个部分要分两个部分一个是你有没有睡觉还是他们在睡觉像才化法的部分主要主动在裁员的垂直和水平所以不关你的事是 这比较不是不是你的事但是才化法的版本里面有关相关分配的就是你的事了嘛
transcript.whisperx[330].start 9277.113
transcript.whisperx[330].end 9304.575
transcript.whisperx[330].text 对然后里面包括譬如说一般性补助所以你今天要告诉我的是你没有睡觉他们都在睡觉所以他们到现在没有把事权搞清楚还在讨论是吗不是现在我要针对就是说譬如说一般性补助和计划性补助这个部分都是事权都是属于地方一半的事项那我们就来讨论一下那我们就来讨论一下你们所说的这个这个行政院现在在说他们要提修法版本有找你讨论吗
transcript.whisperx[331].start 9305.957
transcript.whisperx[331].end 9329.157
transcript.whisperx[331].text 說副院長財政部主計總處要討論要在期待的時間跟地方溝通後提出完整的版本這個在我上一次總質詢的時候卓榮泰院長手上拿著說我的版本在這裡我就要拿出來到現在沒看到現在又說要去找地方政府所以表示院長那時候拿在手上的版本是騙人的
transcript.whisperx[332].start 9329.827
transcript.whisperx[332].end 9346.422
transcript.whisperx[332].text 沒有 他事實上已經提過很多次提過很多版本但是就是不想給立法院知道不是 提過很多版本但是後來又接受很多委員的一個建議他有把一些的一個涉算值又把它加進去所以目前的一個部分所以主計長 我要講的是
transcript.whisperx[333].start 9347.983
transcript.whisperx[333].end 9364.691
transcript.whisperx[333].text 現在反正你們怎麼說都是行政院在說啦現在說要提案我們樂觀其成但是我要問的是現在已經十月了地方政府明年的預算都編了送到各地的縣市議會了如果是你是地方的主計長請問你要怎麼編他們的稅務預算
transcript.whisperx[334].start 9368.572
transcript.whisperx[334].end 9383.601
transcript.whisperx[334].text 稅務預算不知道怎麼編怎麼編稅數預算目前為止就是不知道 懸額未決10月了沒有人知道他們明年的一般性補助款還有相關的這些補助款要怎麼編你告訴我你是地方主席長你怎麼編
transcript.whisperx[335].start 9384.366
transcript.whisperx[335].end 9408.038
transcript.whisperx[335].text 目前的話我們一般性補助款計劃型補助款我們已經連續開了三次的會所以他們都會編了對 都知道而且明確的告知哪些項目應該放在地方項目你都告訴他了但是你現在做的一個很嚴重的事你總預算送來的時候我們清楚的看到你的一般性補助款還是維持在2500億但是它的內容已經變了
transcript.whisperx[336].start 9409.379
transcript.whisperx[336].end 9428.158
transcript.whisperx[336].text 從一般性用公式計算的補助方式換成了所謂的計劃性的明目然後另外把計劃性應該是兩千多億 兩千九百億把它降成只有三百零八億其他都要要求地方政府用一番補助款這是移花接木啊 主計長
transcript.whisperx[337].start 9429.531
transcript.whisperx[337].end 9454.35
transcript.whisperx[337].text 这些相关的学者已经讲得非常清楚了这是一种偷换概念严重的影响到地方自主最严重的是请问你修正中央对地方补助办法有没有按照行政院的相关规则在沿你法律跟法律法规命令草案的时候预告60天有还是没有我们依照规定是不需要预告不需要预告为什么
transcript.whisperx[338].start 9455.952
transcript.whisperx[338].end 9481.565
transcript.whisperx[338].text 所以都不需要告訴任何人所以行政院不需要告訴任何人你們偷偷修了這個辦法包括立法院所以你們也沒有告訴立法院是嗎複製立法院所以立法院現在要把這個辦法拿來做審查接下來審查如果不按照你們原來的辦法之後你打算怎麼辦
transcript.whisperx[339].start 9482.788
transcript.whisperx[339].end 9498.994
transcript.whisperx[339].text 因为一般性补助款是在均衡地方的一个财政的一个方式所以这个办法是你随便可以动的嘛那如果立法院将来把这个授权条款拿掉了不让你随便动了你现在边的预算全部要作废对吧
transcript.whisperx[340].start 9499.514
transcript.whisperx[340].end 9523.79
transcript.whisperx[340].text 不是 因為這必須要整個影響到因為115年度已經沒辦法有一些早就已經知道的問題不應該這樣偷換概念偷偷的做又造成了兩院之間很大的衝突接下來總預算就要進所謂要不要復違還是要不要復翼 要不要退回了你這些動作只會讓這件事情更雪上加霜
transcript.whisperx[341].start 9524.611
transcript.whisperx[341].end 9534.445
transcript.whisperx[341].text 我要問的是好 地方政府就受到影響的他們也不知道怎麼辦你說他們已經知道了所以你們就是一個獨裁政府是嗎
transcript.whisperx[342].start 9535.185
transcript.whisperx[342].end 9564.479
transcript.whisperx[342].text 不是这个部分呢因为这本身是属于地方应该办的事项那包括计划型的补助因为以往都是申请所以我们现在也改很多把它简化变成说你就是把本来应该就是他们的钱先用计划性的名字叫他们要用那边的钱去挪就这么简单可是问题是计划型补助和一般性补助都是属于县市应办的事项我们同意所以这才是我们修裁划法的主要的原因对
transcript.whisperx[343].start 9564.699
transcript.whisperx[343].end 9579.718
transcript.whisperx[343].text 因為就不要讓中央變成要仰仗中央的脾氣看中央的臉色本來是他的事情就讓他好好做但是你們這樣的方式扭曲了立法的原意立法院是原來要保障他們的一般性補助款
transcript.whisperx[344].start 9580.319
transcript.whisperx[344].end 9594.453
transcript.whisperx[344].text 在他們的範圍之內不受到影響可是你們用這樣的方式讓很多的計畫性補助款變成用一般性補助款造成地方上面很大的反彈我覺得這不是一個國家的政府應該做的事
transcript.whisperx[345].start 9595.066
transcript.whisperx[345].end 9614.009
transcript.whisperx[345].text 大大方方的出來跟大家說清楚包括立法院現在你弄到立法院要來審你的辦法當我們修完這個辦法之後你連這些相關將來的調節都沒有了那就是你們到時候最痛苦的時候主席講我要說的是不要再做這些事了不要再做這些小動作了
transcript.whisperx[346].start 9614.269
transcript.whisperx[346].end 9632.956
transcript.whisperx[346].text 但是一般性補助款也是屬於縣市應辦的事項而不是說應該要那就大大方方跟立法院溝通呀而不是偷偷的去修一個辦法然後沒有告訴任何人啊是因為我們也是不得不的做法你不得不好我再問就最後一次這是你的決定還是行政院長的拍板決定的
transcript.whisperx[347].start 9633.676
transcript.whisperx[347].end 9656.312
transcript.whisperx[347].text 這是我們同仁研議出來的你們同仁研議出來給行政院所以這是行政院的立場好 接下來就是如果現在這禮拜也許這兩天或下個禮拜我們就要針對總預算因為沒有編軍人加薪因為沒有編警消停降退休金所以現在有可能會退回總預算一樣你要怎麼善後
transcript.whisperx[348].start 9662.052
transcript.whisperx[348].end 9689.081
transcript.whisperx[348].text 你為什麼不編還是你編了被行政院打槍把你拿掉裁劃法立法院通過你們編然後軍人加薪你們不編請問標準是什麼他這個部分涉及到整個制度標準不知道標準是什麼我問你的法律上的標準是什麼裁劃法合憲所以你們自己認為合憲就可以編然後軍人加薪你們認為違憲就不編是嗎
transcript.whisperx[349].start 9691.226
transcript.whisperx[349].end 9718.077
transcript.whisperx[349].text 不是這個部分因為軍人加薪它涉及到整個一個整個新級制度的一個公平性的一個問題行政單位叫做依法行政不管怎麼樣就是一個公告你在這邊也說過了你的做法就是依法行政公務人員只能依法行政現在是接下去假如假如任何一個公務人員來提告政府要不要給錢
transcript.whisperx[350].start 9721.433
transcript.whisperx[350].end 9730.601
transcript.whisperx[350].text 現行法是合法的那他來提告你有義務這是法定義務之處啊主席長你要怎麼辦
transcript.whisperx[351].start 9732.25
transcript.whisperx[351].end 9761.649
transcript.whisperx[351].text 这个部分如果我们请求那个就是要求视线所以所有的人都不能动视线结果来做编列主席长我的意思是说沟通很重要如果你们要偷偷这样修办法只是增加更多的冲突好接下来我问一下我们去年编的总预算今年收入的状况如何到十月份好像收入短促是吗收支短促根据财政部表示他是说今年可能没
transcript.whisperx[352].start 9761.829
transcript.whisperx[352].end 9791.05
transcript.whisperx[352].text 目前的稅收不足可能没有办法达到预算数到现在的时间9月的净值来看好像预算只达成75%然后目前维持的执行状况大概有4000亿的转促也就是说有可能收不到那么多税入但是我们又多了非常多的支出所以去年我们的预算暴增到3.1兆然后我们宽估了非常多的税入那现在钱收不来
transcript.whisperx[353].start 9791.909
transcript.whisperx[353].end 9807.289
transcript.whisperx[353].text 那現在我們已經把因為特別預算的關係又把所有的稅金剩餘給花光了是吧沒有114年預計有剩餘1500多億那扣掉我們要還債的1400億明年你們已經要取債了嘛
transcript.whisperx[354].start 9807.745
transcript.whisperx[354].end 9826.921
transcript.whisperx[354].text 对 但是我现在是谈114年114年度它是有剩余的那剩余扣掉还债1415亿之后它还剩下164亿所以要看今年一个整个一个在今年以前都叫做超增在今年以后叫做取债
transcript.whisperx[355].start 9828.14
transcript.whisperx[355].end 9857.142
transcript.whisperx[355].text 而且赖清德时代要把蔡英文累积的所有的税金剩余几乎快要花光了也没有没有会剩多少还没有2.9那税金剩余现在还有多少税金剩余现在是没有以115年那不就是花光了吗没有因为举债额度是40%我问的是税金剩余已经没有了吗
transcript.whisperx[356].start 9858.542
transcript.whisperx[356].end 9876.034
transcript.whisperx[356].text 就是我們把它留下來的資產全部已經清空了甚至還要取債了所以我希望預算的預估要準確每一年不是超徵就是短促這顯然我們的主計單位有點問題 好嗎
transcript.whisperx[357].start 9877.595
transcript.whisperx[357].end 9896.882
transcript.whisperx[357].text 是好我希望你們盡快的把相關財化法的版本不管如何在今年現在正在審預算期間要趕快送來否則就會造成我剛剛講的總預算退回對行政院是非常不利的好謝謝我們謝謝黃珊珊委員接下來我們請羅明財委員
transcript.whisperx[358].start 9907.008
transcript.whisperx[358].end 9909.45
transcript.whisperx[358].text 整個現在世界的經濟成長情況因為美中
transcript.whisperx[359].start 9930.243
transcript.whisperx[359].end 9953.533
transcript.whisperx[359].text 這個關稅戰的關係影響了很大的佈局現在昨天又宣布要收港口稅兩邊就這樣對來對去你對於現在台灣明年度的經濟成長的預測情況是怎麼樣我們目前大概是預測明年差不多2點多 2點81左右
transcript.whisperx[360].start 9958.359
transcript.whisperx[360].end 9975.429
transcript.whisperx[360].text 比央行預測的還要高那IMF這個機構已經預測明年的經濟是往下滑的啊那台灣的情況怎麼樣
transcript.whisperx[361].start 9976.257
transcript.whisperx[361].end 10003.559
transcript.whisperx[361].text 它其实要分一个是传产的一个产业那一个就是一般AI的一个产业那这AI的产业它是其实是也还持续看好但是传统产业的这个部分所以这就是我们任性预算里面要一个协助的一个重点是这样现在整个台湾的经济发展以及民间的结构事实上跟以往传统的发展是不一样的
transcript.whisperx[362].start 10004.554
transcript.whisperx[362].end 10029.256
transcript.whisperx[362].text 主席長 過去船產的部分大概有三分之二的這些上市上櫃公司它的股價沒漲反而跌跌破20年線我們就發現這個世界在變台灣的經濟表現跟相較於全世界來講我們還可以 為什麼
transcript.whisperx[363].start 10031.747
transcript.whisperx[363].end 10060.242
transcript.whisperx[363].text 因為我們是有AI產業還有智能產業的一個助力我們就是靠一個台積電護國神山以及周邊大概是四五十家跟AI有相關性的成長特別的熱我們很顯然就看到說世界在改變還好台灣有台積還好台灣有AI
transcript.whisperx[364].start 10061.857
transcript.whisperx[364].end 10086.21
transcript.whisperx[364].text 那在你的報告當中也講到這個以後AI的一個概念那請問那現在輝達到底要不要留在台灣我想各地方政府都在努力當中好 那每個人需不需要多努力是 都需要努力你們有什麼可以努力的地方這個部分以我們來講的部分
transcript.whisperx[365].start 10088.007
transcript.whisperx[365].end 10101.663
transcript.whisperx[365].text 我們大概是譬如說有哪些需要產業協助的部分我們也能夠中央能夠來盡力這樣子產業協助你們也可以做什麼樣的協助這要看經濟部那邊他要怎麼樣來處理
transcript.whisperx[366].start 10103.649
transcript.whisperx[366].end 10132.038
transcript.whisperx[366].text 我想一般的國際大廠如果要真正要落地總部要設在這邊周遭的環境就很重要當然是交通 醫療你總部放這邊就有一些學生就學的這個問題周邊還有生活圈等等所以我在看就是回歸到一個就是大家比較重視的
transcript.whisperx[367].start 10133.852
transcript.whisperx[367].end 10153.508
transcript.whisperx[367].text 財政收支劃分法你要讓地方政府有能力把這些經費好好的去推動下水道 至少不要淹水嘛你看上次高雄啊淹大水台南也淹水就改變了什麼
transcript.whisperx[368].start 10154.773
transcript.whisperx[368].end 10177.657
transcript.whisperx[368].text 改變了這些國際大廠它落戶的考量嘛聽說現在嘉義他們都不去了是不是應該不會吧有要去嗎還是有啊台積電機場不都停工了還會再去嗎高雄會去嗎有啊
transcript.whisperx[369].start 10178.55
transcript.whisperx[369].end 10204.562
transcript.whisperx[369].text 會去嗎 哪一家會去目前高雄就有在那個那個高雄他在那個叫什麼那個男子交工區不是不是男子 另外一個那個叫什麼沒有啦 他們現在很多小孩不敢去了不會啦最主要就是淹水你想想看喔這些機器設備那麼的重要
transcript.whisperx[370].start 10205.683
transcript.whisperx[370].end 10232.192
transcript.whisperx[370].text 淹了一次以後誰敢保證說不會淹所以就是下水道等等周邊置身防洪的這些經費的問題我們就再繞回來看就是財化法用本息來自新北那你們今年對新北的地方性一般的補助少了多少一般性的補助
transcript.whisperx[371].start 10235.609
transcript.whisperx[371].end 10252.34
transcript.whisperx[371].text 我們新北400多萬的人口本來平均下來給我們地方的就少現在還東扣西扣連一般性的補助都少了那你一少變成我自主的財源裡面就會切出一塊來彌補這個地方那變成
transcript.whisperx[372].start 10258.058
transcript.whisperx[372].end 10276.547
transcript.whisperx[372].text 左右渐左少了多少 主席长增加了增加多少增加89增加今年增加89对 一般性不足可是我们本来预期是应该有200多整个是拨了200多
transcript.whisperx[373].start 10281.98
transcript.whisperx[373].end 10304.214
transcript.whisperx[373].text 它是整個是重量易住財它整個是多209億那你可能就是專案補助的部分增加計畫型補助我們一般性補助它是有增加所以整個同籌分配稅款它增加415那你如果有增加的話
transcript.whisperx[374].start 10305.151
transcript.whisperx[374].end 10334.054
transcript.whisperx[374].text 按照道理那地方的縣市首長要感謝你那為什麼我們侯市長他感覺經費是不足的中央是應該要多多編下來多多來支持地方的那請問你你有沒有跟侯市長有溝通過我們這個有行政院我們院長有召開一個縣市長的一個相關的一個討論的會議也有邀請 侯市長也有參加對 那他說了什麼
transcript.whisperx[375].start 10334.724
transcript.whisperx[375].end 10359.918
transcript.whisperx[375].text 对 这个部分他是说如果是属于地方应该负担的部分他们会负起责任 是这样对 那是他负的责任那他当然是希望说中央能可以多多的补助我们也尽量我们也希望能够多多补助但是就是力有未待因为我们被拿掉4165亿之后我们没有能力继续维持原来的补助
transcript.whisperx[376].start 10360.558
transcript.whisperx[376].end 10379.917
transcript.whisperx[376].text 外界都搞不清楚我們每年稅收都超徵去年超徵了5280億前年累積這幾年超徵了一兆8000億大家在問 奇怪那為什麼主計總處這邊你還要喊說沒錢那錢跑去哪裡了
transcript.whisperx[377].start 10380.56
transcript.whisperx[377].end 10396.504
transcript.whisperx[377].text 我要跟委員講像去年你說去年超徵五千多億那這五千多億中央拿到的是三千多億其他的是地方拿走了那三千多億整個到一個叫做累積剩餘裡面去那以113年度整個累積剩餘是8393億那這個部分它去挹注
transcript.whisperx[378].start 10400.306
transcript.whisperx[378].end 10409.474
transcript.whisperx[378].text 那個疫後的特別預算還有特別戰機的一個部分整個拿掉之後4444億支援這一次的韌性預算還要舉在1056億
transcript.whisperx[379].start 10414.246
transcript.whisperx[379].end 10442.613
transcript.whisperx[379].text 我們地方所有的建設熬熬待補希望主計長能多多體恤民情多多關愛的眼神來照顧我們新北的發展我們也希望盡量我們繳稅繳那麼多可是得到的福利跟待遇卻覺得天壤之別所以希望包括交通 捷運等等我們都需要仰賴
transcript.whisperx[380].start 10444.062
transcript.whisperx[380].end 10472.222
transcript.whisperx[380].text 中央的多多支持才有辦法來推動比如說我們深坑地區深坑輕軌你們準備補助多少輕軌的部分深坑 對 深坑輕軌還有像我們新店的第二運動中心在安坑地區我們也爭取要做一個運動中心我們都吃吃的在等可不可以在這個部分你們可以多多的協助
transcript.whisperx[381].start 10472.742
transcript.whisperx[381].end 10499.97
transcript.whisperx[381].text 所以是由各部會計劃型的補助是由各部會來負責我們都提出了計劃型的補助深坑輕軌大概280多億吧我們也希望看交通部來審查的一個情形那如果都審查通過的話主計總署主委長那邊可不可以多多支持如果交通部審查通過他會按財力分級去做分配那分配的情形之後編列預算這個部分我們就會來支持
transcript.whisperx[382].start 10500.935
transcript.whisperx[382].end 10512.324
transcript.whisperx[382].text 請大力支持因為都等很久了因為再繞回來就是這個軍人加薪的部分剛剛很多委員都提到我們都通過啊你們為什麼不編這一點
transcript.whisperx[383].start 10514.901
transcript.whisperx[383].end 10541.552
transcript.whisperx[383].text 請你多多考量一下軍人保家衛國非常辛苦那該加薪的部分一定要予以照顧還有退休軍警銷他們的一些基本的一些權利跟義務也應該多多照顧了現在萬物飆漲就是這一些最基層的公務人員得不到政府的關懷今年度有沒有加薪
transcript.whisperx[384].start 10543.618
transcript.whisperx[384].end 10569.474
transcript.whisperx[384].text 今年没有加薪明年度会不会加薪115没有加薪也没加今年114有加薪115没加没有加那可是你这样加薪今年加也没加几%4%4%3%3%嘛鸡腿便当本来70块现在都涨到140了他是涨了一倍结果你说你加薪3块钱
transcript.whisperx[385].start 10571.159
transcript.whisperx[385].end 10597.331
transcript.whisperx[385].text 等於一個便當多70塊中央你只給我3塊錢那我缺的67塊我找誰拿啊所以現在基本的員工公務員的心情就是說你加3%趕不上物價飆漲的速度所以怎麼辦這個就是我們考量所以現在國內情況就是
transcript.whisperx[386].start 10598.462
transcript.whisperx[386].end 10620.315
transcript.whisperx[386].text 年輕人不敢生 生了怕養不起造成國安的問題所以希望竹記長可以多多想一下錢能幫忙多照顧年輕人 多照顧地方好不好是謝謝好 我們謝謝羅明財委員接下來我們請葉元智委員
transcript.whisperx[387].start 10629.54
transcript.whisperx[387].end 10632.161
transcript.whisperx[387].text 麻煩請主計長 謝謝我們請陳主計長主計長 你好明年的教育經費是減列了27.7%是不是減列了908億 是嗎
transcript.whisperx[388].start 10645.119
transcript.whisperx[388].end 10660.965
transcript.whisperx[388].text 這個部分不是減劣而是因為它財政收支花婚化修正的一個結果那就是比今年少了嘛但是它是真的總經費它並沒有減少所以它是依照規定來編列然後它是由地方不是啦我現在講總預算啦我現在講總預算明年的總預算是3兆350億對吧比今年還增加了1100億
transcript.whisperx[389].start 10670.549
transcript.whisperx[389].end 10698.484
transcript.whisperx[389].text 但是總預算裡面教育經費的編列是比今年減少了908億這是客觀數字嘛客觀數字我想請教一下主計總署應該對於每個部會分配多少預算應該是有建議權吧還是說還是說其實是你們先算你們各部會報上來然後最後你會根據整個政府的施政的優先順序然後要求大家增加還是減少
transcript.whisperx[390].start 10699.565
transcript.whisperx[390].end 10721.619
transcript.whisperx[390].text 是怎麼樣一個你們運作是怎麼樣一個運作方式我們大概分成幾塊一個就是重大建設計畫這個部分這個部分是屬於國化會在負責另外一個是重大科技的一個計畫的部分它是科技部在
transcript.whisperx[391].start 10722.7
transcript.whisperx[391].end 10741.039
transcript.whisperx[391].text 那另外一個就是說那個社會發展的部分我沒有太多時間啦我只是覺得說教育你認為因為地方的統籌分配稅款增加你就跟教育部說你少編一點錢讓地方去付
transcript.whisperx[392].start 10742.213
transcript.whisperx[392].end 10755.127
transcript.whisperx[392].text 那其他的部會的錢呢你就覺得他很重要就有增加的空間所以在現在整個政府的施政裡面對於教育這一塊好像讓人家感覺不是那麼重視
transcript.whisperx[393].start 10756.544
transcript.whisperx[393].end 10783.178
transcript.whisperx[393].text 好像覺得說這個教育經費不用增加然後呢再來就是地方因為統籌分配稅款增加了所以有一些支出就地方你去付就好了就不關我中央的事了那中央政府對於教育這一塊你們都不重視喔好 那是第一個我提出來的問題第二個問題是現在按照主席長的說法因為很多錢要地方去付
transcript.whisperx[394].start 10784.105
transcript.whisperx[394].end 10799.912
transcript.whisperx[394].text 對吧 因為誰叫台車法通過了可是問題是一般中央給地方錢有三種嘛同時分配稅款之外還有一般性補助款跟計畫性補助款那你現在一般性補助款的做法跟以前也不一樣啦
transcript.whisperx[395].start 10801.116
transcript.whisperx[395].end 10823.135
transcript.whisperx[395].text 現在的一般性補助款的做法很像以前的計劃性補助款就是地方如果你有需要你來申請我中央看狀況給你有的不見得要給你有的我就給你一半以下所以中央補助款扣的部分有的縣市擔心說你一般性補助款會不會扣一扣扣到比他統籌分配稅款增加的還要多到時候他們拿的錢也沒有比較多
transcript.whisperx[396].start 10824.497
transcript.whisperx[396].end 10836.632
transcript.whisperx[396].text 還有就是計劃型補助款我舉新北市的例子新北市的捷運去跟中央去申請90億結果忽然間公文過去回來之後跟新北市講說我要少給你72%那你要地方怎麼去規劃他的財政支出
transcript.whisperx[397].start 10843.035
transcript.whisperx[397].end 10863.918
transcript.whisperx[397].text 这个部分我先讲交通的部分交通的部分交通部这个部分它是没有减只是因为我们这经会整个是没办法编列上去所以这个是它往后延所以这个部分是属于捷运的部分那再来就是说什么叫往后延等于说以后它再该补足
transcript.whisperx[398].start 10864.278
transcript.whisperx[398].end 10888.868
transcript.whisperx[398].text 他會再補租只是今年不給你的意思是說72%是今年不給以後會把這7.5萬補回來因為今年大部分都是要舉債的所以這個部分他就貨配的額度你們去做分配那分配有的是按照工程的一個進度去做分配還有第二個問題是很多是中央去地方說要做的東西比如說那個時候過去講說班班有冷氣嘛電費中央來出嘛
transcript.whisperx[399].start 10889.648
transcript.whisperx[399].end 10915.093
transcript.whisperx[399].text 而中央承諾東西現在中央也不補助了叫地方去出所以大家才會講說這叫中央請客地方買單那這個狀況也很多啊斑斑油冷氣這已經施行多年了我是舉例啦我是舉例啦那還有很多其他的嘛譬如說像我們在新北市交通部那時候幫民進黨立委助選啊跑到板橋來說要蓋太阪輕軌的攝後支線啊說錢都準備好了啦要來蓋啦那這個錢會給嗎
transcript.whisperx[400].start 10918.415
transcript.whisperx[400].end 10936.291
transcript.whisperx[400].text 這個部分整個要看你不能講說選舉的時候就來這邊開支票然後選後那個地方來跟中央申請的時候要嘛可行性研究卡半天要嘛就是給了錢在這邊卡就覺得因為地方統籌分配稅款已經增加會出現這個狀況
transcript.whisperx[401].start 10937.432
transcript.whisperx[401].end 10956.919
transcript.whisperx[401].text 沒有 他一般沒有 我現在因為撿到了我只建議主席走地方現在是覺得說很多都搞不清楚狀況到底錢怎麼給補助會不會減少搞不清楚狀況其實會滿困擾的真的你們中央地方不能開個會嗎可以 我們經常我們已經開過三次會了開過三次會但是據說啦就是能夠去參加的人也很少
transcript.whisperx[402].start 10957.879
transcript.whisperx[402].end 10964.344
transcript.whisperx[402].text 然後針對大家關鍵性的一些問題也都沒有回答所以大家現在還是無撒撒啦主要是財主要回去說明啦趕快解決啦 謝謝謝謝葉委員接下來我們請楊瓊英委員
transcript.whisperx[403].start 10985.596
transcript.whisperx[403].end 10989.337
transcript.whisperx[403].text 謝謝主席 楊群發言 邀請主席長我們請陳主席長委員好主席長好115年度的總預算裡頭政府可以說是創下了惡例警校退休 軍人加薪國會已經三讀通過法定的法律行政院也沒有提復議
transcript.whisperx[404].start 11011.903
transcript.whisperx[404].end 11025.933
transcript.whisperx[404].text 總統府也已經公佈施行然後呢行政院竟然就違法的不編沒有編入到115年度的總預算我明白的告訴你們不編就是違法
transcript.whisperx[405].start 11026.793
transcript.whisperx[405].end 11048.94
transcript.whisperx[405].text 不編就是違法主委長你過去也說了警察人員人事條例提高警銷的這個退休金還有志願運每一個月加幾三萬塊那這個軍人待遇條例各部會在送你自己送你主機處的時候沒編那你的職責是什麼請問你的職責是什麼請問為什麼沒編這是誰指令的
transcript.whisperx[406].start 11055.543
transcript.whisperx[406].end 11083.898
transcript.whisperx[406].text 这个部分因为它整个的一个加薪的制度打破它整个一个薪资一个整个的制度所以这个部分行政院已经提事宪所以也这个部分是说主席长你的职责你认为这样符合依法行政吗你目前的职责不管你去提什么都还没有结果之前你就是要依法行政
transcript.whisperx[407].start 11085.899
transcript.whisperx[407].end 11101.386
transcript.whisperx[407].text 欸 行政院沒有附議總統府公布施行之你是主席長欸那你看到這筆預算你敢送到立法院來你送了一個違法沒有編的預算欸主席長 你是
transcript.whisperx[408].start 11102.901
transcript.whisperx[408].end 11121.77
transcript.whisperx[408].text 你的职責啊而且你也非常專業啊你為什麼會任由這樣本席再次請教你是誰指令你是誰指令的是誰決定不要編的請教依法你必須要編請問依你的專業你不可能這麼做我可以大膽這麼告訴你誰告訴你
transcript.whisperx[409].start 11124.952
transcript.whisperx[409].end 11127.053
transcript.whisperx[409].text 誰指令你不用變主席長 你的職責就是依法籌劃審編跟執行行政
transcript.whisperx[410].start 11145.427
transcript.whisperx[410].end 11169.694
transcript.whisperx[410].text 政府的一個總預算你的監督跟你預算的行政效率這對於整個預算相關的法規你提出了擬定修正等意見你是必須組計長是必須從預算編制到執行的過程你要確保政府的財政運作跟合法性嘛對不對對不對那你有合法嗎你違法
transcript.whisperx[411].start 11175.103
transcript.whisperx[411].end 11201.745
transcript.whisperx[411].text 行政院也沒有附議總統府公佈至立法院三讀通過這是法定的法律耶可以這麼做嗎因為這影響的確非常的深遠所以整個部分我們整個考量的結果就是說 因為你主席長 本席請問你違法不編的這個預算請教 當你看到這樣違法你有提出什麼意見給院長嗎
transcript.whisperx[412].start 11203.823
transcript.whisperx[412].end 11215.876
transcript.whisperx[412].text 請教你有提出什麼意見給院長嗎因為這個部分主要是那個人事總處還有那個請問 針對本期的提問你有提意見給院長嗎因為你是省紀長 主紀長是
transcript.whisperx[413].start 11220.7
transcript.whisperx[413].end 11245.206
transcript.whisperx[413].text 你主席长的职权刚刚本席一个字一个字念给你听那在这样违法的预算送到立法院来的时候你在这个过程你有告诉院长吗我们是希望都尽量能够依法行政什么叫尽量你本来就应该依法行政什么尽量台湾是一个民主法治国家你一个主席长你可以说尽量两个字
transcript.whisperx[414].start 11246.646
transcript.whisperx[414].end 11262.23
transcript.whisperx[414].text 針對本期的提問 你有在這個過程有給院長什麼樣的建議嗎 有沒有這個部分我們就整個考量就是說你有沒有 你告訴我有還是沒有首席長 你有沒有依你的專業 你的職責 你有建議給院長什麼意見嗎 有沒有有還是沒有有還是沒有
transcript.whisperx[415].start 11276.926
transcript.whisperx[415].end 11305.545
transcript.whisperx[415].text 你還是不敢說你是專業的組計長欸還是誰下令你 命令你不用編這麼的大膽違法有沒有人下令你不用編有沒有你既不回答有沒有建議院長你也不回答有沒有編台灣可以這樣子嗎可以如此的違法嗎你搞得連國軍都雞飛狗跳欸
transcript.whisperx[416].start 11307.254
transcript.whisperx[416].end 11325.048
transcript.whisperx[416].text 聽到這個訊息三讀通過總統府公告之在募兵的時候都說每個月要加幾三萬結果馬上又一個髮夾彎不了不可以告知國軍說你不可以用三萬這個誘因來招募你讓國軍怎麼辦啊可以如此嗎劉機長我希望再聽到你有沒有在這段時間你建議院長有沒有
transcript.whisperx[417].start 11338.516
transcript.whisperx[417].end 11342.279
transcript.whisperx[417].text 有沒有誰 命令你不用編有沒有主席可以都不回答嗎你是專業的主席長可以都不回答嗎你把你沒有回答的時間扣下來怎麼可以 這是一個答詢是一個詢答
transcript.whisperx[418].start 11361.877
transcript.whisperx[418].end 11390.166
transcript.whisperx[418].text 有答有询有询有答你都不回答这是国会可以如此吗主席长刚刚也有答复而且这么明确的违法可以如此吗我们是不是在请我们主席长人民情何以堪那人事总处他提出来说这个影响非常巨大所以这个部分考量的结果所以才没有编那所以我们就整个提视线那等视线的结果我们依结果来编列主席长我还是一句话告诉你
transcript.whisperx[419].start 11390.706
transcript.whisperx[419].end 11399.677
transcript.whisperx[419].text 你是專業的你不是任何一個政黨的官員你是中華民國台灣的官員我們政府的官員你必須依你的職責好 謝謝楊瓊瑩委員我們接下來請黃國昌委員
transcript.whisperx[420].start 11420.101
transcript.whisperx[420].end 11446.224
transcript.whisperx[420].text 謝謝主席 有請沈記長我們請沈主記長對不起 我請的是沈記長抱歉 請沈沈記長先恭喜沈記長通過人事同意權的審查謝謝委員當初為了人事同意權的事情你來找我的時候我就很直接跟你說
transcript.whisperx[421].start 11447.85
transcript.whisperx[421].end 11466.735
transcript.whisperx[421].text 我們在公部門沒有私人之間的請託我們看的就是表現我也公開肯定審計部作為一個獨立機關是中華民國過去這幾年來少數應該是唯一能夠獨立發揮職權的機關
transcript.whisperx[422].start 11469.269
transcript.whisperx[422].end 11496.815
transcript.whisperx[422].text 所以台灣民眾黨立法院黨團在你人事同意權行使的過程當中八票全部都支持你不是對你個人的肯定是對於審計部的工作在這個狗皮倒罩烏煙瘴氣的情況之下還可以扮演一點起碼的功能我這樣子開場是因為我昨天看到一件事情我心情很沉重
transcript.whisperx[423].start 11498.479
transcript.whisperx[423].end 11520.903
transcript.whisperx[423].text 但我也要讓你知道你們工作的重要性昨天我看到一個新聞台灣男主的總教練黃澤民請辭表面上面的理由好像是我們踢輸了泰國1比6但實際上面
transcript.whisperx[424].start 11529.474
transcript.whisperx[424].end 11556.24
transcript.whisperx[424].text 他請辭了以後台灣男足隊的隊長陳柏良也不忍了他說我們的足協的作為就是台灣人在欺負台灣人去泰國我們的國家隊只能去快遞酒店一天集訓的費用一千塊
transcript.whisperx[425].start 11558.277
transcript.whisperx[425].end 11560.918
transcript.whisperx[425].text 要健身房沒健身房你要幹嘛結果球員把照片拿回來長成是這個樣子我的印象裡我們在立法院對體育組對補助協會的預算我們是大力的支持結果在搞什麼東西我們的男足隊出去
transcript.whisperx[426].start 11588.826
transcript.whisperx[426].end 11618.049
transcript.whisperx[426].text 是這種待遇搞到總教練辭職男主的隊長也忍不下去痛批協會的作為就是台灣人在欺負台灣人這本來是應該要質詢體育部的為什麼質詢你審計部之前你應該還記得不管是在這個場合還是我請你們來我辦公室
transcript.whisperx[427].start 11619.212
transcript.whisperx[427].end 11642.672
transcript.whisperx[427].text 我請你們針對有關於各個體育協會拿到錢以後是真的給足協真的給運動協會用在選手的身上還是去胡搞瞎搞我請你們辦了好幾次查核有球員沒有拿到錢收到扣角平單移送減掉我揭發的
transcript.whisperx[428].start 11649.898
transcript.whisperx[428].end 11678.138
transcript.whisperx[428].text 有協會實際上面沒有錢給選手結果編列編列給廠商的轉播經費很慷慨啊原列五十萬直接什麼每一場本來五十萬直接一百二十萬 一百二十萬 一百三十萬就給沒有錢花在選手身上
transcript.whisperx[429].start 11680.546
transcript.whisperx[429].end 11703.9
transcript.whisperx[429].text 有錢去給特定的媒體這什麼垃圾行為啊你們的審計報告都做出來了我現在我可以直接跟審計長講很多球迷很憤怒非常多球迷很憤怒我只有個卑微的要求審計部調查
transcript.whisperx[430].start 11706.328
transcript.whisperx[430].end 11732.129
transcript.whisperx[430].text 有關於監督行政法人訓練中心補助團體執行情況的書面報告還有你們去查核中華民國儲血相關費用核銷合理性的疑義講得很客氣叫核銷合理性我的看法是違法性不是合理性這兩份報告在審計部的官網上面公告
transcript.whisperx[431].start 11733.371
transcript.whisperx[431].end 11761.533
transcript.whisperx[431].text 給所有關心的球迷看好不好看我們國家的經費是怎麼半胡搞瞎搞的該用在選手身上的沒有用在選手身上這樣胡搞瞎搞這個我們照委員的意思那現在 今天喔我拜託你今天就把這個報告公告在審計部的網站上不要說我今天在這邊質詢
transcript.whisperx[432].start 11763.294
transcript.whisperx[432].end 11789.174
transcript.whisperx[432].text 我講話向來有憑有據省紀部我相信社會有一定信任的程度你把這兩個報告公告在省紀部的網站上讓所有關心我們台灣運動發展所有關心足球所有關心我們國家隊的球員為什麼會受到這樣子的待遇總教練請職 男足足球隊的隊長不忍了
transcript.whisperx[433].start 11790.137
transcript.whisperx[433].end 11812.401
transcript.whisperx[433].text 出來砰說就是台灣人欺負台灣人是我們立法院該給的錢沒給嗎還是錢給下去了以後怎麼被胡搞瞎搞的可以嗎可以因為剛成立運動部我們用善意的整個制度我們要我們的處長幫他盤點一下讓他進入軌道
transcript.whisperx[434].start 11816.345
transcript.whisperx[434].end 11839.927
transcript.whisperx[434].text 沒關係主席站起來了你看我今天我真的要問的PPT我第一頁都還沒開始我真的要問的PPT我第一頁都還沒開始時間已經到了我尊重其他後面要等的委員但我跟沈記長講這件事很重要你們很努力做了這些查核報告這些查核報告如果沒有公開的話
transcript.whisperx[435].start 11841.874
transcript.whisperx[435].end 11865.191
transcript.whisperx[435].text 我們關心的球迷疼惜我們選手非常多的台灣人大家不知道真相不知道錢怎麼被胡搞瞎搞的啊今天下班以前就公開可不可以可以好 謝謝謝謝黃委員那相關的報告今天公告在網站上面謝謝
transcript.whisperx[436].start 11869.538
transcript.whisperx[436].end 11871.819
transcript.whisperx[436].text 接下來我們請張祺凱委員好我們請陳沈記長陳主記長委員好
transcript.whisperx[437].start 11898.274
transcript.whisperx[437].end 11922.33
transcript.whisperx[437].text 主席你好委員好學長好財化法修正本來是要落實這個地方自治的可是現在行政院一路都在造謠說地方的錢被分光光了我給大家看一個病圖我去做了統計其實民國八十八年精神的時候我們中央政府的這個進入的這個金額那時候只有60%中央啊
transcript.whisperx[438].start 11925.607
transcript.whisperx[438].end 11951.039
transcript.whisperx[438].text 主席 沈記長在點頭了嗎結果你看 財化法修正完之後我幫他做了一個統計還有高達65.6%表示現在中央政府還是有錢的不要講說地方分你太多錢第二個 中央還是富豪更嚴重的 接下來我要跟主記長跟沈記長討論一個非常嚴重的事情我覺得主記長 蔣卿晉最近做了太多違法的事情
transcript.whisperx[439].start 11952.233
transcript.whisperx[439].end 11961.28
transcript.whisperx[439].text 主計跟審計應該是很受到人家尊重的特別是主計一定要依法去編列預算剛才講金人家心不編
transcript.whisperx[440].start 11962.984
transcript.whisperx[440].end 11986.75
transcript.whisperx[440].text 警消的退休金的年金提高也不便這已經是違法了所以我們今天會立足把明年度中央政府總計算要退回這是一個第二個我們來看還動了一個大家沒有注意到可是對我們地方教育跟基礎建設連捷運都受到影響的很大的一個地方可能很多人到現在都不曉得主計總署
transcript.whisperx[441].start 11989.181
transcript.whisperx[441].end 12010.896
transcript.whisperx[441].text 行政院竟然把我們的計劃型補助款明年度我們的計劃型補助款本來應該有2954億大家看那個餅圖那是中央應該給地方的計劃型補助款砍到只剩下308第一個這個額度太大了
transcript.whisperx[442].start 12018.459
transcript.whisperx[442].end 12045.305
transcript.whisperx[442].text 第二個 那很多建設對地方都非常非常的重要包括到我們小孩子的營養午餐祝給你們財化法通過的時候我算給大家聽本來明年度因為財化法通過之後中央下放這個富豪中央集錢要集錢下放給地方要照顧地方的4165億結果竟然你們可以去動一個辦法
transcript.whisperx[443].start 12048.137
transcript.whisperx[443].end 12066.486
transcript.whisperx[443].text 暗度成倉 你是土匪是不是像土匪一樣搶回了將近三分之二的搶回去2954億裡面的2646億欸 煮雞丁這樣草法法都不用修啊我們修完你又下放4100多億下去結果你自己弄一個辦法把計畫權補助款砍到308欸你又搶回去三分之二的錢欸
transcript.whisperx[444].start 12076.721
transcript.whisperx[444].end 12100.476
transcript.whisperx[444].text 而且這個錢你謀著良心的主席可以講你回答問題之前這些錢都是非常重要的我給大家看一下有什麼地方的捷運營養午餐對不對台南市的這個捷運南線你明年度本來要給他多少錢對不對你現在剩下砍到剩1.6
transcript.whisperx[445].start 12102.472
transcript.whisperx[445].end 12123.947
transcript.whisperx[445].text 他怎麼做啊 這整個影響了整個人民的這個權益啊我看你剛才回答立委說不是不給 晚一點給都已經蓋了 第二個你時間往後拖這是多嚴重的事情 我們再看一個我去做了一個統計拜託 先給電話給我看這是被砍掉的是什麼
transcript.whisperx[446].start 12128.294
transcript.whisperx[446].end 12145.153
transcript.whisperx[446].text 教育經費被砍了659億包括什麼基本的教育人事費的還有辦公費營養午餐 水電費 冷氣連那個退伏本來要退伏支出的限職的待遇659億都貸還牽扯到
transcript.whisperx[447].start 12149.002
transcript.whisperx[447].end 12165.229
transcript.whisperx[447].text 水利的輸進跟清淤你這個怎麼砍得下去經濟部河川的輸進少了10億內政部地下下水道的輸進跟清淤少14億這是不是都很重要
transcript.whisperx[448].start 12167.828
transcript.whisperx[448].end 12194.403
transcript.whisperx[448].text 是不是都很重要这个是很重要 但是问题这个是譬如说国中小的一个营养午餐 水电会还有地方的一个水利疏俊这些相关的会用这都是属于地方应办的事项只是中央着于补助所以这个部分我们就是说有因为我们实在是预算编不出来没有办法编所以才会把它有些事项回归地方
transcript.whisperx[449].start 12196.36
transcript.whisperx[449].end 12223.396
transcript.whisperx[449].text 主席長第一個你還是歷史以來最高的錢最多中華民國最有錢的就是今年的114年的中華民國明年115年更有錢了超過三兆耶你怎麼可以坐在金山上面一直喊窮而且第二個你剛剛講的都從地方搶的耶你都認為他重要結果你現在不你把他拿到中央來地方沒有錢要不要坐我最後做一個結論因為主席站出來了我看看耶我給你看一個很重要的文件
transcript.whisperx[450].start 12224.657
transcript.whisperx[450].end 12242.292
transcript.whisperx[450].text 這個是在8月28號 黨團協商的時候那一天連柯建銘 吳思瑤 陳培宜都簽字喔 主席你們民進黨也簽字喔那時候我們就注意到了你們把一般補助款要變成申請這兩個很大問題嘛一般性的補助款很多都法定預算對不對
transcript.whisperx[451].start 12248.533
transcript.whisperx[451].end 12273.002
transcript.whisperx[451].text 你怎麼可以要去申請呢這是第一個問題第二個他本來錢被你排擠了嘛所以當初你看我們當初就說賴清德當台南市長的時候就說中央不應該急錢又急錢行政院你不應該去扣錢去解釋對於地方的補助款額度你不能夠調整各個縣市的這個金額的同時把明年的一般補助款變成是審查
transcript.whisperx[452].start 12275.914
transcript.whisperx[452].end 12278.758
transcript.whisperx[452].text 三檔的檔邊 我們三檔去協商這個都有牽涉的
transcript.whisperx[453].start 12280.382
transcript.whisperx[453].end 12309.651
transcript.whisperx[453].text 你怎麼現在推翻我你不是自打嘴巴嗎這個是總統通過追加預算案的時候的主決議只有法律效用你這是違法這人家可以告你賭職所以你現在有幾個大的問題你對地方的影響那麼大對營養午餐影響那麼大對捷運影響那麼大教育影響那麼大所以最後我做個結論你是依法行政我做兩個拜託的事情第一個 回去好好再看看不要再這樣砍地方的補助環了
transcript.whisperx[454].start 12311.328
transcript.whisperx[454].end 12328.18
transcript.whisperx[454].text 你砍太多了 计划型砍太多了第二个不要把一般补助款还要再申请这两个都是要处理的对 这个部分我都有改了有改了就是申请字的部分大部分都改成填报字所以这个部分就会那你就违反了这个当初我们这个规定
transcript.whisperx[455].start 12328.72
transcript.whisperx[455].end 12343.725
transcript.whisperx[455].text 沒有規範規定 因為為什麼因為一般性補助和計劃性補助都是對地方政府硬辦事項的卓與補助並不是說一定的補助所以我們要衡量財政的一面來做協助因為後面還有人 抱歉 抱歉 太簡單第一個 朱業定 朱業定拜託
transcript.whisperx[456].start 12346.886
transcript.whisperx[456].end 12352.27
transcript.whisperx[456].text 你把計劃型補助款2900多億砍到308這是非常明確的這傷害太大了你要回去檢討不能夠這樣砍這是第一點第二你一般型的補助款本來以前是不用省的你現在變成要省我們當初又跟你講了這是總統公告喔你不要違法你這樣下去會變成賭職好不好請你今天再拜託一下你要盯好好不好這是財政紀律而且要依法行政拜託一下好 謝謝好 謝謝我們張啟凱委員
transcript.whisperx[457].start 12376.4
transcript.whisperx[457].end 12384.724
transcript.whisperx[457].text 接下來我們請蘇清泉委員蘇清泉委員蘇清泉委員不在場下一位我們請謝依鳳委員好謝謝主席我想要請主計長跟沈計長請陳主計長陳沈計長
transcript.whisperx[458].start 12402.128
transcript.whisperx[458].end 12419.824
transcript.whisperx[458].text 好委員好我想先就教我們沈記長因為新出爐我想要請問從你過去六年擔任我們中央政府的沈記長那你有什麼樣子重大查核出我們重大的問題
transcript.whisperx[459].start 12423.191
transcript.whisperx[459].end 12436.431
transcript.whisperx[459].text 因為從住住面的因為系統性的風險很多像那個NCO的時候都那個進口證明都變造或者是都那個這些我們都查出來或者
transcript.whisperx[460].start 12438.554
transcript.whisperx[460].end 12442.097
transcript.whisperx[460].text 用AI去查行政機關好像廠商違法這些查出來機關都沒有去扣押他的保證金那些保證金我們收回來一萬六千多元
transcript.whisperx[461].start 12462.19
transcript.whisperx[461].end 12467.132
transcript.whisperx[461].text 我們也有用這種數位損技去查核微標微標的東西也查了差不多有發現有2000多個手上非常高有問題我們都移送檢調檢調也都啟示了200多件
transcript.whisperx[462].start 12483.977
transcript.whisperx[462].end 12498.094
transcript.whisperx[462].text 这个大概我们都有在做这些讲的很多从制度面来讲我们也创立了本来都只有一个审核报告我们现在把营业非营业公务
transcript.whisperx[463].start 12499.155
transcript.whisperx[463].end 12522.76
transcript.whisperx[463].text 這些就弄成就按這個把它編成一個審核報告比較容易讓大眾閱讀成立了總結算的那個查核平台他可以用單日進去以後整個就可以查5年到10年的相關的我們審計資料那你第二任期呢你第二任期重大的
transcript.whisperx[464].start 12523.46
transcript.whisperx[464].end 12541.413
transcript.whisperx[464].text 第二 任期剛剛講的我們潤性剛剛在談現在極端氣候我們有一個提出潤性審計像我們的下水道 排水道像那個雨水排水道現在極端氣候來的時候都大水嘛我們就希望
transcript.whisperx[465].start 12542.153
transcript.whisperx[465].end 12563.948
transcript.whisperx[465].text 从润性审计的时候就是希望把它的那个雨水排水道这个本来是7000多公里现在还完成5000多公里还差2000多公里因为现在整个极端气候从哪里来不晓得所以我们提出润性审计所以为什么最近容易淹水你认为是从雨水下水道
transcript.whisperx[466].start 12564.628
transcript.whisperx[466].end 12582.358
transcript.whisperx[466].text 因為我們要多方考慮除了它極端下雨量很大但是怎麼樣把水排出去變得很重要你哪一個階段清衣沒有做好或者哪一個階段沒有把它打通
transcript.whisperx[467].start 12583.258
transcript.whisperx[467].end 12602.755
transcript.whisperx[467].text 它都會造成整個淹水這一次南部有一些淹水那就是我們看高雄有兩百多公里台南也有兩百多公里都沒有那個以水下水道都沒做像這個我們會慢慢要求國土計畫署盡量幫助地方把這事情做好這個對人民的生命財產安全影響很大
transcript.whisperx[468].start 12610.482
transcript.whisperx[468].end 12619.067
transcript.whisperx[468].text 所以我們要做的像我們最近強調我們台灣的優勢就是AI那我們會從AI裡面來發展智慧審計智慧審計就是一種有些事情都藏在細節裡面我們用智慧審計可以把它整個系統性的風險剛剛講的幾個系統性的風險找出來
transcript.whisperx[469].start 12636.056
transcript.whisperx[469].end 12645.309
transcript.whisperx[469].text 再來我們因為國家勇氣很重要像財政要勇氣各方面的勇氣我們都會慢慢做最後我們是希望能幫助整個政府促進良善助理
transcript.whisperx[470].start 12651.513
transcript.whisperx[470].end 12677.604
transcript.whisperx[470].text 好 那現在中央政府跟地方政府的確發聲了就是因為這個才化法我也想要就教於主計長那這個才化法的修正草案我相信未來你們也要做相關的討論那到底就是地方政府的一般性補助款怎麼樣處理你是不是可以跟大家說明一下
transcript.whisperx[471].start 12678.175
transcript.whisperx[471].end 12689.323
transcript.whisperx[471].text 這個是這樣因為財劃法本來是我們給地方政府差不多一億四十有一兆多一億五當然我看了主計總署的也有一兆一千多這個是事和錢要好好因為我們地方租住實行很多年事和錢要大家分清楚
transcript.whisperx[472].start 12699.41
transcript.whisperx[472].end 12725.744
transcript.whisperx[472].text 這個地方來做可能比較順利你也不要再去干涉地方了這個把它劃分區除錢走下去就從這裡來再來看這些整個一般性補助款整個整理對國家對整個中央和以後的和諧會非常大家都變成爭議點就是說要中央要和地方好好坐下來談一談
transcript.whisperx[473].start 12726.889
transcript.whisperx[473].end 12743.87
transcript.whisperx[473].text 还有除了一般性补助款还有计划性补助款的部分是不是计划性补助款刚刚听主席长讲它已经不是按申请住了它改成它会有公宿化尽量公宿化这个就是说不要人为操作
transcript.whisperx[474].start 12744.651
transcript.whisperx[474].end 12765.528
transcript.whisperx[474].text 我今天要下一個農田水路的問題我們有多少農田水路各縣市政府有多少年農田水路我們這個下去大家哪一些問題要處理有一個公式化那公式化什麼時候會出來
transcript.whisperx[475].start 12766.429
transcript.whisperx[475].end 12782.974
transcript.whisperx[475].text 公訴的話因為主席總書還有國發會還有行政院在這整體的衡量但是就是說我們目前如果按照公示的話會不會違背當初我們修法的時候的這個應該還好應該還好應該不會因為最重要的前國訴一體的並只有一個
transcript.whisperx[476].start 12793.401
transcript.whisperx[476].end 12813.648
transcript.whisperx[476].text 中央都出了地方就少地方都出了中央就少但是我們是誰這錢用在哪裡功效最大誰來做功效最大有的時候要全國一致性的你像珠三環紅那是從上中下游一直做下去這個是可能中央要負起責任
transcript.whisperx[477].start 12814.208
transcript.whisperx[477].end 12827.711
transcript.whisperx[477].text 大概錢就歸到中央來這個大概我比較偏向用這樣時事求是的問題解決這些問題好 謝謝謝謝 謝謝鳳委員接下來我們請林思明召委好 謝謝召委我先請主席長好了請陳署長
transcript.whisperx[478].start 12847.188
transcript.whisperx[478].end 12856.679
transcript.whisperx[478].text 署長早 委員好署長我想今年的一到八月收穫員工每人每月的經常性薪資平均數是47709元年增2.98%實際的成長是1.12%我們乍看之下數據是很漂亮
transcript.whisperx[479].start 12867.952
transcript.whisperx[479].end 12886.358
transcript.whisperx[479].text 但是我們再看看中位數只有38217元實際成長只有0.94%換句話說薪資成長的平均數被少數高薪族群所拉高而絕大多數的基層其實沒有感受不到
transcript.whisperx[480].start 12891.36
transcript.whisperx[480].end 12908.16
transcript.whisperx[480].text 再來我們看貧富的差距113年度家庭收支調查最高20%與最低20%家庭的可支配所得差距高達6.14%昨天我看到主委總署公布受僱員工的薪資統計
transcript.whisperx[481].start 12909.702
transcript.whisperx[481].end 12931.414
transcript.whisperx[481].text 在通膨趋緩後基本工資調漲下昨天公布的今年1到8月收穫員工的實際薪資呈現連續17個月成長超過通膨所以要請問主席長這是否代表說我們薪資成長超過物價上漲的速度連續打敗通膨
transcript.whisperx[482].start 12934.269
transcript.whisperx[482].end 12961.211
transcript.whisperx[482].text 目前是这样 有这么乐观吗目前评估是这样子这么乐观但是因为有一些譬如说比较经常性购买的一个东西它就是它占的幅度是比较大比较高譬如说食物的部分是占2.64然后肉类占的比较多水果也占的比较多所以这种对于民众来讲影响比较大所以他们就会觉得说没有感受到通膨但是
transcript.whisperx[483].start 12961.932
transcript.whisperx[483].end 12975.285
transcript.whisperx[483].text 感受到通盆下降但是問題就是說因為譬如說油料 原物料這些在整個國際價格是下降的所以這個部分也真的是影響非常的大是 那個署長我想這個
transcript.whisperx[484].start 12977.427
transcript.whisperx[484].end 12994.477
transcript.whisperx[484].text 基层的感受就像你讲的因为民生物资还是在上涨它的涨幅还蛮高的所以普遍感觉好像这个物价没有跟薪资的差距并没有有一个非常大的感受
transcript.whisperx[485].start 12995.558
transcript.whisperx[485].end 13010.466
transcript.whisperx[485].text 所以做這麼樂觀的一個評估我覺得還是要把相關的民生物資的因為它的漲幅那麼高可能是不是要做一個比較真實的一個呈現
transcript.whisperx[486].start 13011.266
transcript.whisperx[486].end 13028.448
transcript.whisperx[486].text 有 我们相关的民生物资的一个相关的涨幅我们都有公布然后也包括中低收入的高龄的这些的我们都有做一个公布相关的一个那个通膨物价的一个稳定其实主席我想说的就是说
transcript.whisperx[487].start 13028.928
transcript.whisperx[487].end 13039.977
transcript.whisperx[487].text 因為像你剛才講的那幾種情況之下我們看到今年8月勞工他的平均薪資就1到8月勞工平均薪資是48,098元年增2.92%
transcript.whisperx[488].start 13044.6
transcript.whisperx[488].end 13064.245
transcript.whisperx[488].text 那加上獎金與加班費等非經常性的薪資後總薪資平均達61646元年增4.38%我一直強調乍看之下很樂觀顯示我們薪資普遍成長但是我們現在要看這個經常性的中位數只有38000多塊
transcript.whisperx[489].start 13066.485
transcript.whisperx[489].end 13089.855
transcript.whisperx[489].text 吉尼係數0.341雙雙叫去年為真所以主委長這是否代表我們大多數的居城的勞工根本或者居城的這些職員根本沒感受到所謂的一個心臟潮普遍沒有感到說我們薪水很高
transcript.whisperx[490].start 13090.816
transcript.whisperx[490].end 13108.169
transcript.whisperx[490].text 所以这个部分因为中位数是38,000所以大部分居中集中在38,000左右那有的高薪的部分譬如说有的是金融业的或者是一些相关之通业就前面20%的族群它就比较高那这样整个平均数它整个其实会拉高
transcript.whisperx[491].start 13108.789
transcript.whisperx[491].end 13133.827
transcript.whisperx[491].text 会拉高但是事实上每一年加薪这都是也事实上也是如此也是连续加薪加了很多年包括基本工资的一个调整都有做一个调整所以整个一个薪资也是都往上涨只是说可能他没有办法就是说因为如果是搭退所谓民生物价的一个部分他感受没有那么的一个好 没关系 指揮长我再问你物价的问题
transcript.whisperx[492].start 13134.648
transcript.whisperx[492].end 13143.056
transcript.whisperx[492].text 根據主委總書10月8號所公布的數據9月的消費者物價指數 CPI年增1.25%比較8月 今年8月的1.60%稍微降低也以連續5個月低於2%的通膨的警戒線創下4年半以來的新低
transcript.whisperx[493].start 13158.692
transcript.whisperx[493].end 13176.163
transcript.whisperx[493].text 但是我們根據經濟日報的報導指出有17項的重要民生物資漲幅高達2.47%創育一年半的新高該您提到的豬肉方面收到近期毛豬供應量的減少漲幅高達8.74%
transcript.whisperx[494].start 13179.626
transcript.whisperx[494].end 13189.956
transcript.whisperx[494].text 創下超過一年半以來的新高那麼雞蛋也因為替代效果的關係更創近兩年來的最大漲幅還有房租也漲2.14%外食費用也預計上漲超過2%我們電價在10月份預計還要上漲4.3%
transcript.whisperx[495].start 13200.026
transcript.whisperx[495].end 13215.704
transcript.whisperx[495].text 所以主委長在民生物資持續上漲的狀況下雖然有些物資的價格稍微下滑回穩但是我們長期來看對於今年的CPI影響大概會有什麼樣程度的影響
transcript.whisperx[496].start 13217.339
transcript.whisperx[496].end 13245.696
transcript.whisperx[496].text 我们其实是它是因为譬如说你刚刚讲的水果 蔬菜这些等包括肉类那是因为在造成它租资的一个供应减少所以它肉类整个提升猪肉类的部分但是这整个现象大部分都是短暂它很快的就会改善那所以外食会的部分除了这个之外因为我们总共有368项的一个调查的一个项目所以就这样 简单来说你还是认为说虽然有些这个
transcript.whisperx[497].start 13246.576
transcript.whisperx[497].end 13261.81
transcript.whisperx[497].text 这都比较短暂时间的有下滑回稳所以你认为整个我们的物价指数就是到今年年底它的整个影响大约会到什么程度会还是在维持在2%以下吗
transcript.whisperx[498].start 13262.19
transcript.whisperx[498].end 13281.866
transcript.whisperx[498].text 是 我們大概預估今年整個整體的大概是在1.76左右那明年大概是預估在1.64左右明年會更低會 會更低 是這樣子那有沒有考量這個考量到美國高關稅的因素如果這個談判下來如果不樂觀的話會不會對我們物價的一個上漲會有影響
transcript.whisperx[499].start 13283.668
transcript.whisperx[499].end 13305.443
transcript.whisperx[499].text 這個部分是影響到的可能是薪資的部分因為為什麼它停班對物價沒有影響對物價比較因為等於說按照道理是比較會有一點點緊縮是這樣子所以是本身來看的話譬如說你如果說如果關稅談判不樂觀的話我們要面臨高關稅那對於我們的物價上漲不會有影響嗎
transcript.whisperx[500].start 13312.118
transcript.whisperx[500].end 13339.194
transcript.whisperx[500].text 这个部分影响目前还不是很明显还不是很明显但是问题是停班做预估就是说一些的推估就是说停班人力的减少这个部分所以你对明年会降到1.6%应该讲的你很有信心是 因为我们重点其实现在比较高的是譬如说肉类 蔬菜类水果这些外食但是明年最近现象会减低那我现在请那个省议长好 谢谢
transcript.whisperx[501].start 13342.26
transcript.whisperx[501].end 13370.407
transcript.whisperx[501].text 請審計長來 審計長委員好您剛才提到這個AI智慧審計我想請教你審計部今年把打擊詐欺 AI發展還有空污治理等議題列為專章所以請問打詐這種跨部會的工作審計部是否有發現協調失靈 資源大量重複投入而結果效果不彰有這種現象嗎
transcript.whisperx[502].start 13372.737
transcript.whisperx[502].end 13377.662
transcript.whisperx[502].text 看起來是我們的損失意見裡面因為目前還沒有看到因為現在的打炸現在炸片越來越嚴重所以多元的方式可能都要試所以豬園的使用當然是看起來每個部會的配置
transcript.whisperx[503].start 13393.459
transcript.whisperx[503].end 13420.764
transcript.whisperx[503].text 有沒有重複投入 有沒有重複投入是有這種情景但是因為現在詐騙 我幫他看他的手法非常多對 現在到8月他們統計出來我們那個詐騙的金額六 七百億被害人也越一直升高一直升高 案件也一直大所以這個是一個非常嚴重的事情所以我們政府投入大量的資源去防詐
transcript.whisperx[504].start 13422.406
transcript.whisperx[504].end 13450.688
transcript.whisperx[504].text 那我們就講說這樣會不會資源重複投入結果效果成效不彰審計部有沒有去提出一個非常這個就是比較能夠資源能夠真正花在這個刀口上然後又可以達到他們一個防詐的效果另外我想審計部剛才一直提到說你在推行AI的審計資料中心還要導入深層AI
transcript.whisperx[505].start 13451.869
transcript.whisperx[505].end 13468.278
transcript.whisperx[505].text 以本席的立場 以我的立場我是支持創新支持更有效率的方式但是我同時也擔憂導入AI工具作為輔助後是否會造成過度依賴演算法就AI的演算法的現象
transcript.whisperx[506].start 13469.518
transcript.whisperx[506].end 13496.771
transcript.whisperx[506].text 因為我們告訴我們做任何事就像我們小時候寫的安全第一所以一定是在像這種AI有道德風險我一定要放在那個工作機構最後一個問題如果說演算法判斷有誤而導致審計結論的謬誤我們審計部有沒有建立一個控管的一個機制有 我們現在請專家寫者再研究這一個有啦非常謝謝我們有做這方面的研究好 謝謝
transcript.whisperx[507].start 13498.972
transcript.whisperx[507].end 13522.068
transcript.whisperx[507].text 我們謝謝林思明召委接下來我們請林楚英委員林楚英委員林楚英委員不在場下一位蔡易瑜委員蔡易瑜委員蔡易瑜委員不在場下一位徐欣穎委員徐欣穎委員徐欣穎委員不在場下一位王世堅委員
transcript.whisperx[508].start 13548.497
transcript.whisperx[508].end 13573.648
transcript.whisperx[508].text 謝謝主席 我請主計長我們請陳主計長委員好主計長 是你們跟主計處還有包括我們今天列席的審計處你們確實是很用心 努力於公務這是事實是 謝謝我確實非常肯定主計處 審計處你們的貢獻
transcript.whisperx[509].start 13576.397
transcript.whisperx[509].end 13604.387
transcript.whisperx[509].text 不過你主計處的數字不能有那麼大的差異必須很詳實因為主計處掌管的全國所有包括經濟發展財政各部會還有我們全民工作努力所有的這些成果這些數字都必須很詳實的去記錄詳實的去分析那這個部分我對於
transcript.whisperx[510].start 13608.269
transcript.whisperx[510].end 13620.647
transcript.whisperx[510].text 貧窮這個計算我覺得這個奇怪我們怎麼跟世界這幾個主流國家不但有差異而且這十幾年來都差異越差越大
transcript.whisperx[511].start 13621.741
transcript.whisperx[511].end 13643.933
transcript.whisperx[511].text 我們就講美國他們的統計好了美國統計了全世界有140個國家他有把每個國家的大概的這些數字他們有做了一些分析那他們的分析以外包括英國、德國、日本、韓國這些先進國家他們也都有他們的分析
transcript.whisperx[512].start 13645.053
transcript.whisperx[512].end 13668.143
transcript.whisperx[512].text 所有他們的分析起來他們認為他們自己國家貧窮率大概從14%到16%中間14%到16%我們講平均大概15%以他們認為他們自己國家的貧窮率但是在我們國家我們貧窮率的計算
transcript.whisperx[513].start 13669.383
transcript.whisperx[513].end 13695.285
transcript.whisperx[513].text 我們對我們自己國內貧窮人口的占比數我們的計算大概照這樣看你們所公布你們最近公布的一個是7.13%大概是全世界平均15%的一半一半不到那當然如果這是事實這很好喔表示我們國人
transcript.whisperx[514].start 13697.148
transcript.whisperx[514].end 13708.961
transcript.whisperx[514].text 我們居於世界之冠我們消滅了貧窮但是我怕這些數字如果不詳實有很大的誤差那我們不是志氣氣人嗎
transcript.whisperx[515].start 13711.707
transcript.whisperx[515].end 13736.48
transcript.whisperx[515].text 777人的另外一面就是什麼就是說那糟糕那對於我們沒有估算到而實質他是在貧窮線的民眾那變成我們的社福政策我們接濟不到他們這是另外一個更嚴重傷腦筋的問題所以我今天就教於你那照這些估算不但有差
transcript.whisperx[516].start 13738.356
transcript.whisperx[516].end 13751.743
transcript.whisperx[516].text 我們實質政府在有救助有補助的這一個部分低收入中低收入根據你們公布低收入人數從107年2018年我剛列了這個10年下來31萬多到今年25萬9有減少中低收入從33萬多到24萬2
transcript.whisperx[517].start 13763.171
transcript.whisperx[517].end 13786.568
transcript.whisperx[517].text 我就把25萬924萬2加起來我們就是有50萬位有接受政府救助補助的低收入戶跟中低收入戶人口50萬人可是這有兩個差距出來了跟我們主計處自己所公佈的7.13那就有很大的出路了
transcript.whisperx[518].start 13788.113
transcript.whisperx[518].end 13816.299
transcript.whisperx[518].text 我們有救助有補助25.9萬加24.2萬這55萬人大概啊大概等於佔我們總人口的2.3%那也就是從你的7.13到2.3有將近5%的黑數那是奇怪那他是誰很怪囉他是貧窮啊但是政府沒有補助他
transcript.whisperx[519].start 13817.395
transcript.whisperx[519].end 13841.605
transcript.whisperx[519].text 沒有救助他這是一大黑數這就是所謂的窮人黑數窮人黑數那窮人黑數還來自另外一個民間的版本的估算差更多民間好幾個公民團體他們都很專業喔他們有的來自於我們退休的
transcript.whisperx[520].start 13842.554
transcript.whisperx[520].end 13864.47
transcript.whisperx[520].text 公務人員有的是各方面會計統計這部分的學者專家教授他們去組成的他們估算他們的估算他們是以年收入不到國人可以支配所得中位數的六成他以這樣子中位數的六成下去算他們認為有12%到13%的全國人口是位於
transcript.whisperx[521].start 13870.996
transcript.whisperx[521].end 13892.169
transcript.whisperx[521].text 貧窮線的是位於貧窮線那百分之十二到百分之十三那是多少人那就是兩百八十萬到三百萬人欸土地長那就跟我們剛剛提的低收入戶中低收入戶加起來的五十萬人那黑數就高達兩百五十萬啦那比
transcript.whisperx[522].start 13894.673
transcript.whisperx[522].end 13911.704
transcript.whisperx[522].text 我剛剛跟你提到的你公布的7.137.13的黑數70萬那如果照民間估算的結果那這個貧窮的人數窮人的黑數將會高達250萬人
transcript.whisperx[523].start 13920.046
transcript.whisperx[523].end 13929.296
transcript.whisperx[523].text 我們台灣才2380萬人也就是說我們有高達一成的我們台灣同胞們他是處於貧窮線
transcript.whisperx[524].start 13931.258
transcript.whisperx[524].end 13958.543
transcript.whisperx[524].text 這些窮人黑素他是沒辦法接受到政府任何的福利政策任何的救助補助也就是我們政府努力了數十年全民努力了數十年當這些貧窮黑素發生不幸一般生活不濟的時候我們政府我們全民接不到他們這個就是我在害怕的
transcript.whisperx[525].start 13960.371
transcript.whisperx[525].end 13982.142
transcript.whisperx[525].text 這就是這些黑數一直困擾著我們大家的到底是多少如果我們以現實的觀點來看確實也可以從很多現象看得出來包括從各價位的餐廳包括從一般的小吃包括連在車站連在公園
transcript.whisperx[526].start 13988.729
transcript.whisperx[526].end 14016.397
transcript.whisperx[526].text 這幾年來陸陸續續增加的這些遊民的人數包括我們可以聽得到的街坊鄰居朋友新聞報導的很多這些黑素民眾他們如果遇到更糟糕的家庭不幸的時候那會導致家破人亡
transcript.whisperx[527].start 14017.628
transcript.whisperx[527].end 14046.938
transcript.whisperx[527].text 所以主計長我麻煩你務必第一點回去你們把這些數字到底是怎麼回事是民間團體算帳呢還是我們主計處這個部分我們有盲點因為你們就等於出現了兩個數字兩個不同的數字本身就產生了70萬位民眾的差距這個就已經是個黑數第二點是不是
transcript.whisperx[528].start 14049.46
transcript.whisperx[528].end 14066.597
transcript.whisperx[528].text 你回去跟衛福部折騰他們衛福部詳實的算一下到底他列的低收入戶中低收入戶他是怎麼樣的一個統計的哪樣的一個資料不要動不動
transcript.whisperx[529].start 14068.218
transcript.whisperx[529].end 14088.692
transcript.whisperx[529].text 他們動不動就拿一個說這個排富條款這個因為他怎樣他拿一個三等親裡面有什麼工作這個可以接濟他這個接濟那個接濟講半天結果這怎麼叫接濟呢他如果有個三等親年輕朋友
transcript.whisperx[530].start 14090.012
transcript.whisperx[530].end 14112.483
transcript.whisperx[530].text 有正職工作每個月3萬多塊的收入那怎麼有辦法去接濟這一位實質有需要幫助的窮人黑素哪有辦法接濟年輕他剛畢業自己的生活費租金不打緊還要還房貸所以有一些都變成我們政府單位我們自己
transcript.whisperx[531].start 14114.235
transcript.whisperx[531].end 14123.781
transcript.whisperx[531].text 自己往自己資格去想說理所當然的你是三等親你就可以去依這個親事實上不然所以我必須講很現實的在現實的
transcript.whisperx[532].start 14129.685
transcript.whisperx[532].end 14153.726
transcript.whisperx[532].text 陽光底下我們有很多辛苦工作的百姓們都自顧不暇的我們政府不要一廂情願的把這些都認為說這個有這樣子的三等金所以就不把它列入這個補助就不把它列入貧窮線的補助那這種想法是截然錯誤好不好
transcript.whisperx[533].start 14155.227
transcript.whisperx[533].end 14171.182
transcript.whisperx[533].text 好 謝謝委員數字想計算更仔細一點要接住每一位我們台灣同胞需要幫助補助的朋友第一步就是要從詳實的數字開始詳實的計算起好不好
transcript.whisperx[534].start 14171.502
transcript.whisperx[534].end 14189.678
transcript.whisperx[534].text 好謝謝委員那我這裡也說明一下因為衛福部他整個中低收入戶的算法他是要把動產或不動產他有先納入考量那我們這整個是就薪資的一個一個去設算所以我們是7點多他把動產不動產的中低收入的資格
transcript.whisperx[535].start 14190.298
transcript.whisperx[535].end 14212.091
transcript.whisperx[535].text 納入考量之後所以它整個一些中低收入乎才會變成一點多這個部分所以這個部分就是說我們將來看要怎麼樣跟衛福部來討論說盡量這個部分要怎樣來我們放寬這個限制是這樣子好 處長那我也跟您提一下我也跟沈記長也說明一下其實這個我們立法院
transcript.whisperx[536].start 14212.791
transcript.whisperx[536].end 14232.284
transcript.whisperx[536].text 我還有其他立委我們有提案我們認為早就應該把這個排富標準金額提高這個我們還在立法院奮戰當中但是我希望說至少我們主計處、審計處在這個部分提供意見給他們的時候要求他們應該與時俱進去調高
transcript.whisperx[537].start 14236.4
transcript.whisperx[537].end 14251.635
transcript.whisperx[537].text 這個所謂的你不補助的範圍不應該把這個標準還列在四五十年前的標準這樣每個人都被你排富掉了那就講得台灣就均富了嗎台灣就沒有貧窮了嗎事實上不是這樣好不好好我們謝謝王委員
transcript.whisperx[538].start 14256.964
transcript.whisperx[538].end 14285.573
transcript.whisperx[538].text 今日登记发言委员均已询答完毕那本日会议做如下的决定一报告及询答完毕二委员质询未及答复或请补充资讯请相关部会于一周以内书面答复委员令要求期限者从期锁定三本日会议议程已进行完毕还有不在场委员补题书面质询以并列入记录刊登公报并请议事人员协助处理休息