iVOD / 16563

Field Value
IVOD_ID 16563
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16563
日期 2025-04-02
會議資料.會議代碼 委員會-11-3-23-5
會議資料.會議代碼:str 第11屆第3會期交通委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第5次全體委員會議
影片種類 Full
開始時間 2025-04-02T08:30:16+08:00
結束時間 2025-04-02T13:25:00+08:00
影片長度 04:54:44
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dde38e399d34f1f0d8445fc32f41448fc06e2c503bbdfdf4b6ba7ce1f9dd95139e5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-04-02T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第5次全體委員會議(事由:一、審查國家通訊傳播委員會函為修正「應經核准之電信管制射頻器材」、「電信管制射頻器材製造輸入及申報作業管理辦法」及「電信管理業務規費收費標準」第十四條條文案。 二、審查(一)委員黃健豪等19人擬具「電信管理法第五條、第八條及第七十九條條文修正草案」案、(二)台灣民眾黨黨團擬具「電信管理法第五條及第八條之一條文修正草案」案、(三)委員鍾佳濱等21人擬具「電信管理法第五條、第九條及第七十九條條文修正草案」案、(四)台灣民眾黨黨團擬具「電信管理法第九條及第四十條條文修正草案」案及(五)委員陳俊宇等19人擬具「電信管理法第七十五條條文修正草案」案。 【上午詢答、下午處理】)
委員名稱 完整會議
委員發言時間 08:30:16 - 13:25:00
transcript.pyannote[0].speaker SPEAKER_06
transcript.pyannote[0].start 1811.68034375
transcript.pyannote[0].end 1812.97971875
transcript.pyannote[1].speaker SPEAKER_06
transcript.pyannote[1].start 1819.42596875
transcript.pyannote[1].end 1823.27346875
transcript.pyannote[2].speaker SPEAKER_06
transcript.pyannote[2].start 1823.93159375
transcript.pyannote[2].end 1830.32721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1833.68534375
transcript.pyannote[3].end 1857.02346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1857.25971875
transcript.pyannote[4].end 1860.98909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1861.56284375
transcript.pyannote[5].end 1865.57909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1865.98409375
transcript.pyannote[6].end 1872.97034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1873.12221875
transcript.pyannote[7].end 1877.47596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1877.79659375
transcript.pyannote[8].end 1882.04909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1882.28534375
transcript.pyannote[9].end 1893.64221875
transcript.pyannote[10].speaker SPEAKER_06
transcript.pyannote[10].start 1896.71346875
transcript.pyannote[10].end 1910.43284375
transcript.pyannote[11].speaker SPEAKER_06
transcript.pyannote[11].start 1910.56784375
transcript.pyannote[11].end 1911.93471875
transcript.pyannote[12].speaker SPEAKER_06
transcript.pyannote[12].start 1913.53784375
transcript.pyannote[12].end 1916.64284375
transcript.pyannote[13].speaker SPEAKER_06
transcript.pyannote[13].start 1917.99284375
transcript.pyannote[13].end 1920.43971875
transcript.pyannote[14].speaker SPEAKER_06
transcript.pyannote[14].start 1921.95846875
transcript.pyannote[14].end 1924.91159375
transcript.pyannote[15].speaker SPEAKER_06
transcript.pyannote[15].start 1926.51471875
transcript.pyannote[15].end 1930.39596875
transcript.pyannote[16].speaker SPEAKER_06
transcript.pyannote[16].start 1931.84721875
transcript.pyannote[16].end 1933.56846875
transcript.pyannote[17].speaker SPEAKER_06
transcript.pyannote[17].start 1934.09159375
transcript.pyannote[17].end 1936.28534375
transcript.pyannote[18].speaker SPEAKER_06
transcript.pyannote[18].start 1937.87159375
transcript.pyannote[18].end 1938.58034375
transcript.pyannote[19].speaker SPEAKER_06
transcript.pyannote[19].start 1938.74909375
transcript.pyannote[19].end 1941.82034375
transcript.pyannote[20].speaker SPEAKER_06
transcript.pyannote[20].start 1942.96784375
transcript.pyannote[20].end 1947.33846875
transcript.pyannote[21].speaker SPEAKER_06
transcript.pyannote[21].start 1948.46909375
transcript.pyannote[21].end 1952.40096875
transcript.pyannote[22].speaker SPEAKER_06
transcript.pyannote[22].start 1953.76784375
transcript.pyannote[22].end 1957.26096875
transcript.pyannote[23].speaker SPEAKER_06
transcript.pyannote[23].start 1957.53096875
transcript.pyannote[23].end 1957.68284375
transcript.pyannote[24].speaker SPEAKER_06
transcript.pyannote[24].start 1959.18471875
transcript.pyannote[24].end 1961.98596875
transcript.pyannote[25].speaker SPEAKER_06
transcript.pyannote[25].start 1963.63971875
transcript.pyannote[25].end 1967.33534375
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 1967.62221875
transcript.pyannote[26].end 1970.10284375
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 1971.63846875
transcript.pyannote[27].end 1975.33409375
transcript.pyannote[28].speaker SPEAKER_06
transcript.pyannote[28].start 1976.88659375
transcript.pyannote[28].end 1979.31659375
transcript.pyannote[29].speaker SPEAKER_06
transcript.pyannote[29].start 1980.29534375
transcript.pyannote[29].end 1982.77596875
transcript.pyannote[30].speaker SPEAKER_06
transcript.pyannote[30].start 1984.69971875
transcript.pyannote[30].end 1992.91784375
transcript.pyannote[31].speaker SPEAKER_06
transcript.pyannote[31].start 1995.21284375
transcript.pyannote[31].end 1999.27971875
transcript.pyannote[32].speaker SPEAKER_06
transcript.pyannote[32].start 2000.27534375
transcript.pyannote[32].end 2001.42284375
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 2002.51971875
transcript.pyannote[33].end 2010.33284375
transcript.pyannote[34].speaker SPEAKER_06
transcript.pyannote[34].start 2011.73346875
transcript.pyannote[34].end 2018.92221875
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 2020.42409375
transcript.pyannote[35].end 2020.71096875
transcript.pyannote[36].speaker SPEAKER_06
transcript.pyannote[36].start 2022.73596875
transcript.pyannote[36].end 2024.22096875
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 2025.67221875
transcript.pyannote[37].end 2028.76034375
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 2029.03034375
transcript.pyannote[38].end 2038.17659375
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 2038.48034375
transcript.pyannote[39].end 2062.71284375
transcript.pyannote[40].speaker SPEAKER_06
transcript.pyannote[40].start 2066.15534375
transcript.pyannote[40].end 2072.51721875
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 2072.78721875
transcript.pyannote[41].end 2073.81659375
transcript.pyannote[42].speaker SPEAKER_06
transcript.pyannote[42].start 2075.87534375
transcript.pyannote[42].end 2076.80346875
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 2077.30971875
transcript.pyannote[43].end 2077.36034375
transcript.pyannote[44].speaker SPEAKER_06
transcript.pyannote[44].start 2083.94159375
transcript.pyannote[44].end 2085.71346875
transcript.pyannote[45].speaker SPEAKER_27
transcript.pyannote[45].start 2087.99159375
transcript.pyannote[45].end 2093.71221875
transcript.pyannote[46].speaker SPEAKER_27
transcript.pyannote[46].start 2094.21846875
transcript.pyannote[46].end 2102.60534375
transcript.pyannote[47].speaker SPEAKER_27
transcript.pyannote[47].start 2102.92596875
transcript.pyannote[47].end 2103.53346875
transcript.pyannote[48].speaker SPEAKER_27
transcript.pyannote[48].start 2103.76971875
transcript.pyannote[48].end 2105.72721875
transcript.pyannote[49].speaker SPEAKER_27
transcript.pyannote[49].start 2106.08159375
transcript.pyannote[49].end 2106.38534375
transcript.pyannote[50].speaker SPEAKER_27
transcript.pyannote[50].start 2106.94221875
transcript.pyannote[50].end 2111.16096875
transcript.pyannote[51].speaker SPEAKER_27
transcript.pyannote[51].start 2111.58284375
transcript.pyannote[51].end 2114.46846875
transcript.pyannote[52].speaker SPEAKER_27
transcript.pyannote[52].start 2114.83971875
transcript.pyannote[52].end 2118.01221875
transcript.pyannote[53].speaker SPEAKER_27
transcript.pyannote[53].start 2118.14721875
transcript.pyannote[53].end 2118.58596875
transcript.pyannote[54].speaker SPEAKER_27
transcript.pyannote[54].start 2119.17659375
transcript.pyannote[54].end 2124.20534375
transcript.pyannote[55].speaker SPEAKER_27
transcript.pyannote[55].start 2124.79596875
transcript.pyannote[55].end 2131.37721875
transcript.pyannote[56].speaker SPEAKER_27
transcript.pyannote[56].start 2131.90034375
transcript.pyannote[56].end 2133.52034375
transcript.pyannote[57].speaker SPEAKER_27
transcript.pyannote[57].start 2134.38096875
transcript.pyannote[57].end 2136.49034375
transcript.pyannote[58].speaker SPEAKER_27
transcript.pyannote[58].start 2137.99221875
transcript.pyannote[58].end 2141.46846875
transcript.pyannote[59].speaker SPEAKER_27
transcript.pyannote[59].start 2141.94096875
transcript.pyannote[59].end 2147.84721875
transcript.pyannote[60].speaker SPEAKER_27
transcript.pyannote[60].start 2147.89784375
transcript.pyannote[60].end 2151.40784375
transcript.pyannote[61].speaker SPEAKER_27
transcript.pyannote[61].start 2151.74534375
transcript.pyannote[61].end 2155.30596875
transcript.pyannote[62].speaker SPEAKER_27
transcript.pyannote[62].start 2155.67721875
transcript.pyannote[62].end 2158.36034375
transcript.pyannote[63].speaker SPEAKER_27
transcript.pyannote[63].start 2158.79909375
transcript.pyannote[63].end 2170.34159375
transcript.pyannote[64].speaker SPEAKER_27
transcript.pyannote[64].start 2171.21909375
transcript.pyannote[64].end 2176.23096875
transcript.pyannote[65].speaker SPEAKER_27
transcript.pyannote[65].start 2176.48409375
transcript.pyannote[65].end 2177.12534375
transcript.pyannote[66].speaker SPEAKER_27
transcript.pyannote[66].start 2177.59784375
transcript.pyannote[66].end 2191.60409375
transcript.pyannote[67].speaker SPEAKER_27
transcript.pyannote[67].start 2191.85721875
transcript.pyannote[67].end 2200.88534375
transcript.pyannote[68].speaker SPEAKER_27
transcript.pyannote[68].start 2201.30721875
transcript.pyannote[68].end 2201.98221875
transcript.pyannote[69].speaker SPEAKER_27
transcript.pyannote[69].start 2202.55596875
transcript.pyannote[69].end 2207.23034375
transcript.pyannote[70].speaker SPEAKER_27
transcript.pyannote[70].start 2207.82096875
transcript.pyannote[70].end 2208.17534375
transcript.pyannote[71].speaker SPEAKER_27
transcript.pyannote[71].start 2208.63096875
transcript.pyannote[71].end 2210.26784375
transcript.pyannote[72].speaker SPEAKER_27
transcript.pyannote[72].start 2210.57159375
transcript.pyannote[72].end 2213.69346875
transcript.pyannote[73].speaker SPEAKER_27
transcript.pyannote[73].start 2214.46971875
transcript.pyannote[73].end 2219.56596875
transcript.pyannote[74].speaker SPEAKER_27
transcript.pyannote[74].start 2220.29159375
transcript.pyannote[74].end 2220.71346875
transcript.pyannote[75].speaker SPEAKER_27
transcript.pyannote[75].start 2221.03409375
transcript.pyannote[75].end 2224.17284375
transcript.pyannote[76].speaker SPEAKER_27
transcript.pyannote[76].start 2224.54409375
transcript.pyannote[76].end 2225.06721875
transcript.pyannote[77].speaker SPEAKER_27
transcript.pyannote[77].start 2225.65784375
transcript.pyannote[77].end 2226.56909375
transcript.pyannote[78].speaker SPEAKER_27
transcript.pyannote[78].start 2226.90659375
transcript.pyannote[78].end 2228.86409375
transcript.pyannote[79].speaker SPEAKER_27
transcript.pyannote[79].start 2229.28596875
transcript.pyannote[79].end 2231.90159375
transcript.pyannote[80].speaker SPEAKER_27
transcript.pyannote[80].start 2232.40784375
transcript.pyannote[80].end 2233.03221875
transcript.pyannote[81].speaker SPEAKER_27
transcript.pyannote[81].start 2233.26846875
transcript.pyannote[81].end 2246.63346875
transcript.pyannote[82].speaker SPEAKER_27
transcript.pyannote[82].start 2246.83596875
transcript.pyannote[82].end 2248.97909375
transcript.pyannote[83].speaker SPEAKER_27
transcript.pyannote[83].start 2249.41784375
transcript.pyannote[83].end 2258.93534375
transcript.pyannote[84].speaker SPEAKER_27
transcript.pyannote[84].start 2259.82971875
transcript.pyannote[84].end 2263.27221875
transcript.pyannote[85].speaker SPEAKER_27
transcript.pyannote[85].start 2263.81221875
transcript.pyannote[85].end 2273.51534375
transcript.pyannote[86].speaker SPEAKER_27
transcript.pyannote[86].start 2274.24096875
transcript.pyannote[86].end 2275.11846875
transcript.pyannote[87].speaker SPEAKER_27
transcript.pyannote[87].start 2275.35471875
transcript.pyannote[87].end 2278.25721875
transcript.pyannote[88].speaker SPEAKER_27
transcript.pyannote[88].start 2278.93221875
transcript.pyannote[88].end 2279.21909375
transcript.pyannote[89].speaker SPEAKER_27
transcript.pyannote[89].start 2279.53971875
transcript.pyannote[89].end 2283.74159375
transcript.pyannote[90].speaker SPEAKER_27
transcript.pyannote[90].start 2284.55159375
transcript.pyannote[90].end 2286.59346875
transcript.pyannote[91].speaker SPEAKER_27
transcript.pyannote[91].start 2287.62284375
transcript.pyannote[91].end 2291.38596875
transcript.pyannote[92].speaker SPEAKER_27
transcript.pyannote[92].start 2291.94284375
transcript.pyannote[92].end 2294.49096875
transcript.pyannote[93].speaker SPEAKER_27
transcript.pyannote[93].start 2296.80284375
transcript.pyannote[93].end 2304.31221875
transcript.pyannote[94].speaker SPEAKER_27
transcript.pyannote[94].start 2304.64971875
transcript.pyannote[94].end 2314.15034375
transcript.pyannote[95].speaker SPEAKER_27
transcript.pyannote[95].start 2314.82534375
transcript.pyannote[95].end 2317.66034375
transcript.pyannote[96].speaker SPEAKER_27
transcript.pyannote[96].start 2318.25096875
transcript.pyannote[96].end 2323.61721875
transcript.pyannote[97].speaker SPEAKER_27
transcript.pyannote[97].start 2324.15721875
transcript.pyannote[97].end 2333.16846875
transcript.pyannote[98].speaker SPEAKER_27
transcript.pyannote[98].start 2334.43409375
transcript.pyannote[98].end 2336.84721875
transcript.pyannote[99].speaker SPEAKER_27
transcript.pyannote[99].start 2337.21846875
transcript.pyannote[99].end 2345.67284375
transcript.pyannote[100].speaker SPEAKER_27
transcript.pyannote[100].start 2346.48284375
transcript.pyannote[100].end 2351.27534375
transcript.pyannote[101].speaker SPEAKER_27
transcript.pyannote[101].start 2351.29221875
transcript.pyannote[101].end 2351.35971875
transcript.pyannote[102].speaker SPEAKER_27
transcript.pyannote[102].start 2351.37659375
transcript.pyannote[102].end 2352.08534375
transcript.pyannote[103].speaker SPEAKER_27
transcript.pyannote[103].start 2353.70534375
transcript.pyannote[103].end 2354.88659375
transcript.pyannote[104].speaker SPEAKER_27
transcript.pyannote[104].start 2355.05534375
transcript.pyannote[104].end 2360.10096875
transcript.pyannote[105].speaker SPEAKER_27
transcript.pyannote[105].start 2361.46784375
transcript.pyannote[105].end 2363.64471875
transcript.pyannote[106].speaker SPEAKER_27
transcript.pyannote[106].start 2364.37034375
transcript.pyannote[106].end 2369.48346875
transcript.pyannote[107].speaker SPEAKER_27
transcript.pyannote[107].start 2369.87159375
transcript.pyannote[107].end 2372.43659375
transcript.pyannote[108].speaker SPEAKER_27
transcript.pyannote[108].start 2374.00596875
transcript.pyannote[108].end 2374.49534375
transcript.pyannote[109].speaker SPEAKER_27
transcript.pyannote[109].start 2374.68096875
transcript.pyannote[109].end 2383.00034375
transcript.pyannote[110].speaker SPEAKER_27
transcript.pyannote[110].start 2383.23659375
transcript.pyannote[110].end 2390.39159375
transcript.pyannote[111].speaker SPEAKER_27
transcript.pyannote[111].start 2390.86409375
transcript.pyannote[111].end 2392.83846875
transcript.pyannote[112].speaker SPEAKER_27
transcript.pyannote[112].start 2393.07471875
transcript.pyannote[112].end 2401.14096875
transcript.pyannote[113].speaker SPEAKER_27
transcript.pyannote[113].start 2401.69784375
transcript.pyannote[113].end 2412.73409375
transcript.pyannote[114].speaker SPEAKER_27
transcript.pyannote[114].start 2412.97034375
transcript.pyannote[114].end 2419.63596875
transcript.pyannote[115].speaker SPEAKER_27
transcript.pyannote[115].start 2420.78346875
transcript.pyannote[115].end 2421.35721875
transcript.pyannote[116].speaker SPEAKER_27
transcript.pyannote[116].start 2422.65659375
transcript.pyannote[116].end 2424.02346875
transcript.pyannote[117].speaker SPEAKER_27
transcript.pyannote[117].start 2424.51284375
transcript.pyannote[117].end 2439.88596875
transcript.pyannote[118].speaker SPEAKER_27
transcript.pyannote[118].start 2440.39221875
transcript.pyannote[118].end 2442.29909375
transcript.pyannote[119].speaker SPEAKER_27
transcript.pyannote[119].start 2443.34534375
transcript.pyannote[119].end 2444.59409375
transcript.pyannote[120].speaker SPEAKER_27
transcript.pyannote[120].start 2445.20159375
transcript.pyannote[120].end 2447.04096875
transcript.pyannote[121].speaker SPEAKER_27
transcript.pyannote[121].start 2447.71596875
transcript.pyannote[121].end 2448.74534375
transcript.pyannote[122].speaker SPEAKER_27
transcript.pyannote[122].start 2449.30221875
transcript.pyannote[122].end 2451.04034375
transcript.pyannote[123].speaker SPEAKER_27
transcript.pyannote[123].start 2451.32721875
transcript.pyannote[123].end 2454.31409375
transcript.pyannote[124].speaker SPEAKER_27
transcript.pyannote[124].start 2454.80346875
transcript.pyannote[124].end 2457.36846875
transcript.pyannote[125].speaker SPEAKER_27
transcript.pyannote[125].start 2457.67221875
transcript.pyannote[125].end 2463.15659375
transcript.pyannote[126].speaker SPEAKER_27
transcript.pyannote[126].start 2463.34221875
transcript.pyannote[126].end 2470.22721875
transcript.pyannote[127].speaker SPEAKER_27
transcript.pyannote[127].start 2470.76721875
transcript.pyannote[127].end 2473.29846875
transcript.pyannote[128].speaker SPEAKER_27
transcript.pyannote[128].start 2474.07471875
transcript.pyannote[128].end 2483.72721875
transcript.pyannote[129].speaker SPEAKER_27
transcript.pyannote[129].start 2483.94659375
transcript.pyannote[129].end 2489.04284375
transcript.pyannote[130].speaker SPEAKER_27
transcript.pyannote[130].start 2489.81909375
transcript.pyannote[130].end 2497.41284375
transcript.pyannote[131].speaker SPEAKER_27
transcript.pyannote[131].start 2498.91471875
transcript.pyannote[131].end 2506.42409375
transcript.pyannote[132].speaker SPEAKER_27
transcript.pyannote[132].start 2506.93034375
transcript.pyannote[132].end 2514.62534375
transcript.pyannote[133].speaker SPEAKER_27
transcript.pyannote[133].start 2514.67596875
transcript.pyannote[133].end 2515.75596875
transcript.pyannote[134].speaker SPEAKER_27
transcript.pyannote[134].start 2516.16096875
transcript.pyannote[134].end 2516.76846875
transcript.pyannote[135].speaker SPEAKER_27
transcript.pyannote[135].start 2517.03846875
transcript.pyannote[135].end 2520.17721875
transcript.pyannote[136].speaker SPEAKER_27
transcript.pyannote[136].start 2520.59909375
transcript.pyannote[136].end 2525.62784375
transcript.pyannote[137].speaker SPEAKER_27
transcript.pyannote[137].start 2526.03284375
transcript.pyannote[137].end 2534.67284375
transcript.pyannote[138].speaker SPEAKER_27
transcript.pyannote[138].start 2535.29721875
transcript.pyannote[138].end 2539.36409375
transcript.pyannote[139].speaker SPEAKER_27
transcript.pyannote[139].start 2539.71846875
transcript.pyannote[139].end 2554.34909375
transcript.pyannote[140].speaker SPEAKER_27
transcript.pyannote[140].start 2554.56846875
transcript.pyannote[140].end 2567.19096875
transcript.pyannote[141].speaker SPEAKER_27
transcript.pyannote[141].start 2567.51159375
transcript.pyannote[141].end 2573.73846875
transcript.pyannote[142].speaker SPEAKER_27
transcript.pyannote[142].start 2574.19409375
transcript.pyannote[142].end 2580.38721875
transcript.pyannote[143].speaker SPEAKER_27
transcript.pyannote[143].start 2580.96096875
transcript.pyannote[143].end 2600.50221875
transcript.pyannote[144].speaker SPEAKER_27
transcript.pyannote[144].start 2600.87346875
transcript.pyannote[144].end 2601.48096875
transcript.pyannote[145].speaker SPEAKER_27
transcript.pyannote[145].start 2602.05471875
transcript.pyannote[145].end 2616.98909375
transcript.pyannote[146].speaker SPEAKER_27
transcript.pyannote[146].start 2617.32659375
transcript.pyannote[146].end 2626.72596875
transcript.pyannote[147].speaker SPEAKER_27
transcript.pyannote[147].start 2627.31659375
transcript.pyannote[147].end 2637.34034375
transcript.pyannote[148].speaker SPEAKER_06
transcript.pyannote[148].start 2640.69846875
transcript.pyannote[148].end 2655.64971875
transcript.pyannote[149].speaker SPEAKER_06
transcript.pyannote[149].start 2657.35409375
transcript.pyannote[149].end 2658.63659375
transcript.pyannote[150].speaker SPEAKER_06
transcript.pyannote[150].start 2659.78409375
transcript.pyannote[150].end 2664.69471875
transcript.pyannote[151].speaker SPEAKER_18
transcript.pyannote[151].start 2674.07721875
transcript.pyannote[151].end 2691.34034375
transcript.pyannote[152].speaker SPEAKER_18
transcript.pyannote[152].start 2691.93096875
transcript.pyannote[152].end 2699.38971875
transcript.pyannote[153].speaker SPEAKER_18
transcript.pyannote[153].start 2699.50784375
transcript.pyannote[153].end 2711.91096875
transcript.pyannote[154].speaker SPEAKER_18
transcript.pyannote[154].start 2712.18096875
transcript.pyannote[154].end 2724.95534375
transcript.pyannote[155].speaker SPEAKER_18
transcript.pyannote[155].start 2725.44471875
transcript.pyannote[155].end 2733.08909375
transcript.pyannote[156].speaker SPEAKER_18
transcript.pyannote[156].start 2733.91596875
transcript.pyannote[156].end 2739.21471875
transcript.pyannote[157].speaker SPEAKER_18
transcript.pyannote[157].start 2739.56909375
transcript.pyannote[157].end 2751.01034375
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2752.15784375
transcript.pyannote[158].end 2759.63346875
transcript.pyannote[159].speaker SPEAKER_26
transcript.pyannote[159].start 2770.28159375
transcript.pyannote[159].end 2779.93409375
transcript.pyannote[160].speaker SPEAKER_26
transcript.pyannote[160].start 2780.15346875
transcript.pyannote[160].end 2787.37596875
transcript.pyannote[161].speaker SPEAKER_26
transcript.pyannote[161].start 2787.86534375
transcript.pyannote[161].end 2817.49784375
transcript.pyannote[162].speaker SPEAKER_26
transcript.pyannote[162].start 2817.64971875
transcript.pyannote[162].end 2820.09659375
transcript.pyannote[163].speaker SPEAKER_26
transcript.pyannote[163].start 2820.36659375
transcript.pyannote[163].end 2824.24784375
transcript.pyannote[164].speaker SPEAKER_26
transcript.pyannote[164].start 2825.20971875
transcript.pyannote[164].end 2873.70846875
transcript.pyannote[165].speaker SPEAKER_26
transcript.pyannote[165].start 2874.50159375
transcript.pyannote[165].end 2924.70471875
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 2933.31096875
transcript.pyannote[166].end 2946.01784375
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 2946.79409375
transcript.pyannote[167].end 2949.93284375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 2982.97409375
transcript.pyannote[168].end 2983.02471875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 2983.64909375
transcript.pyannote[169].end 2984.03721875
transcript.pyannote[170].speaker SPEAKER_06
transcript.pyannote[170].start 2993.79096875
transcript.pyannote[170].end 2999.00534375
transcript.pyannote[171].speaker SPEAKER_06
transcript.pyannote[171].start 3000.10221875
transcript.pyannote[171].end 3001.28346875
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 3002.95409375
transcript.pyannote[172].end 3015.08721875
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 3017.73659375
transcript.pyannote[173].end 3018.14159375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 3018.41159375
transcript.pyannote[174].end 3019.33971875
transcript.pyannote[175].speaker SPEAKER_06
transcript.pyannote[175].start 3020.09909375
transcript.pyannote[175].end 3033.75096875
transcript.pyannote[176].speaker SPEAKER_06
transcript.pyannote[176].start 3034.67909375
transcript.pyannote[176].end 3045.96846875
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 3048.75284375
transcript.pyannote[177].end 3049.63034375
transcript.pyannote[178].speaker SPEAKER_20
transcript.pyannote[178].start 3051.14909375
transcript.pyannote[178].end 3052.07721875
transcript.pyannote[179].speaker SPEAKER_06
transcript.pyannote[179].start 3053.27534375
transcript.pyannote[179].end 3054.03471875
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 3060.04221875
transcript.pyannote[180].end 3060.10971875
transcript.pyannote[181].speaker SPEAKER_17
transcript.pyannote[181].start 3060.10971875
transcript.pyannote[181].end 3068.10846875
transcript.pyannote[182].speaker SPEAKER_17
transcript.pyannote[182].start 3068.39534375
transcript.pyannote[182].end 3076.83284375
transcript.pyannote[183].speaker SPEAKER_17
transcript.pyannote[183].start 3077.42346875
transcript.pyannote[183].end 3081.13596875
transcript.pyannote[184].speaker SPEAKER_17
transcript.pyannote[184].start 3081.84471875
transcript.pyannote[184].end 3082.78971875
transcript.pyannote[185].speaker SPEAKER_17
transcript.pyannote[185].start 3083.34659375
transcript.pyannote[185].end 3085.60784375
transcript.pyannote[186].speaker SPEAKER_17
transcript.pyannote[186].start 3086.14784375
transcript.pyannote[186].end 3088.05471875
transcript.pyannote[187].speaker SPEAKER_17
transcript.pyannote[187].start 3088.79721875
transcript.pyannote[187].end 3090.78846875
transcript.pyannote[188].speaker SPEAKER_17
transcript.pyannote[188].start 3091.17659375
transcript.pyannote[188].end 3092.54346875
transcript.pyannote[189].speaker SPEAKER_17
transcript.pyannote[189].start 3092.84721875
transcript.pyannote[189].end 3094.02846875
transcript.pyannote[190].speaker SPEAKER_17
transcript.pyannote[190].start 3094.26471875
transcript.pyannote[190].end 3099.71534375
transcript.pyannote[191].speaker SPEAKER_17
transcript.pyannote[191].start 3099.93471875
transcript.pyannote[191].end 3102.51659375
transcript.pyannote[192].speaker SPEAKER_17
transcript.pyannote[192].start 3104.00159375
transcript.pyannote[192].end 3107.20784375
transcript.pyannote[193].speaker SPEAKER_17
transcript.pyannote[193].start 3107.76471875
transcript.pyannote[193].end 3111.15659375
transcript.pyannote[194].speaker SPEAKER_17
transcript.pyannote[194].start 3111.52784375
transcript.pyannote[194].end 3114.97034375
transcript.pyannote[195].speaker SPEAKER_17
transcript.pyannote[195].start 3115.57784375
transcript.pyannote[195].end 3118.49721875
transcript.pyannote[196].speaker SPEAKER_17
transcript.pyannote[196].start 3118.78409375
transcript.pyannote[196].end 3128.01471875
transcript.pyannote[197].speaker SPEAKER_17
transcript.pyannote[197].start 3129.55034375
transcript.pyannote[197].end 3139.05096875
transcript.pyannote[198].speaker SPEAKER_17
transcript.pyannote[198].start 3139.43909375
transcript.pyannote[198].end 3143.23596875
transcript.pyannote[199].speaker SPEAKER_17
transcript.pyannote[199].start 3143.92784375
transcript.pyannote[199].end 3146.77971875
transcript.pyannote[200].speaker SPEAKER_17
transcript.pyannote[200].start 3146.84721875
transcript.pyannote[200].end 3148.01159375
transcript.pyannote[201].speaker SPEAKER_17
transcript.pyannote[201].start 3149.04096875
transcript.pyannote[201].end 3149.39534375
transcript.pyannote[202].speaker SPEAKER_17
transcript.pyannote[202].start 3149.76659375
transcript.pyannote[202].end 3152.34846875
transcript.pyannote[203].speaker SPEAKER_17
transcript.pyannote[203].start 3152.66909375
transcript.pyannote[203].end 3154.44096875
transcript.pyannote[204].speaker SPEAKER_17
transcript.pyannote[204].start 3154.76159375
transcript.pyannote[204].end 3156.82034375
transcript.pyannote[205].speaker SPEAKER_17
transcript.pyannote[205].start 3156.97221875
transcript.pyannote[205].end 3163.19909375
transcript.pyannote[206].speaker SPEAKER_17
transcript.pyannote[206].start 3163.77284375
transcript.pyannote[206].end 3164.29596875
transcript.pyannote[207].speaker SPEAKER_17
transcript.pyannote[207].start 3165.39284375
transcript.pyannote[207].end 3169.32471875
transcript.pyannote[208].speaker SPEAKER_17
transcript.pyannote[208].start 3169.72971875
transcript.pyannote[208].end 3175.95659375
transcript.pyannote[209].speaker SPEAKER_17
transcript.pyannote[209].start 3177.40784375
transcript.pyannote[209].end 3188.54534375
transcript.pyannote[210].speaker SPEAKER_17
transcript.pyannote[210].start 3188.96721875
transcript.pyannote[210].end 3190.53659375
transcript.pyannote[211].speaker SPEAKER_17
transcript.pyannote[211].start 3191.24534375
transcript.pyannote[211].end 3192.39284375
transcript.pyannote[212].speaker SPEAKER_17
transcript.pyannote[212].start 3193.16909375
transcript.pyannote[212].end 3194.62034375
transcript.pyannote[213].speaker SPEAKER_17
transcript.pyannote[213].start 3194.68784375
transcript.pyannote[213].end 3198.01221875
transcript.pyannote[214].speaker SPEAKER_17
transcript.pyannote[214].start 3198.21471875
transcript.pyannote[214].end 3198.85596875
transcript.pyannote[215].speaker SPEAKER_17
transcript.pyannote[215].start 3199.71659375
transcript.pyannote[215].end 3203.95221875
transcript.pyannote[216].speaker SPEAKER_17
transcript.pyannote[216].start 3204.40784375
transcript.pyannote[216].end 3213.40221875
transcript.pyannote[217].speaker SPEAKER_17
transcript.pyannote[217].start 3213.48659375
transcript.pyannote[217].end 3224.32034375
transcript.pyannote[218].speaker SPEAKER_06
transcript.pyannote[218].start 3225.53534375
transcript.pyannote[218].end 3235.03596875
transcript.pyannote[219].speaker SPEAKER_06
transcript.pyannote[219].start 3235.08659375
transcript.pyannote[219].end 3237.34784375
transcript.pyannote[220].speaker SPEAKER_06
transcript.pyannote[220].start 3237.92159375
transcript.pyannote[220].end 3289.66034375
transcript.pyannote[221].speaker SPEAKER_06
transcript.pyannote[221].start 3290.16659375
transcript.pyannote[221].end 3304.40909375
transcript.pyannote[222].speaker SPEAKER_06
transcript.pyannote[222].start 3304.59471875
transcript.pyannote[222].end 3312.05346875
transcript.pyannote[223].speaker SPEAKER_06
transcript.pyannote[223].start 3312.47534375
transcript.pyannote[223].end 3316.27221875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3330.95346875
transcript.pyannote[224].end 3340.16721875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 3334.24409375
transcript.pyannote[225].end 3334.51409375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 3340.99409375
transcript.pyannote[226].end 3372.41534375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3372.87096875
transcript.pyannote[227].end 3420.71159375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 3420.86346875
transcript.pyannote[228].end 3420.88034375
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 3420.93096875
transcript.pyannote[229].end 3424.42409375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 3425.18346875
transcript.pyannote[230].end 3434.17784375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 3435.44346875
transcript.pyannote[231].end 3463.01721875
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 3463.28721875
transcript.pyannote[232].end 3492.97034375
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 3493.89846875
transcript.pyannote[233].end 3525.52221875
transcript.pyannote[234].speaker SPEAKER_13
transcript.pyannote[234].start 3526.07909375
transcript.pyannote[234].end 3561.14534375
transcript.pyannote[235].speaker SPEAKER_13
transcript.pyannote[235].start 3561.29721875
transcript.pyannote[235].end 3594.65909375
transcript.pyannote[236].speaker SPEAKER_13
transcript.pyannote[236].start 3594.94596875
transcript.pyannote[236].end 3609.42471875
transcript.pyannote[237].speaker SPEAKER_13
transcript.pyannote[237].start 3609.76221875
transcript.pyannote[237].end 3620.88284375
transcript.pyannote[238].speaker SPEAKER_13
transcript.pyannote[238].start 3621.37221875
transcript.pyannote[238].end 3627.07596875
transcript.pyannote[239].speaker SPEAKER_13
transcript.pyannote[239].start 3627.49784375
transcript.pyannote[239].end 3634.77096875
transcript.pyannote[240].speaker SPEAKER_13
transcript.pyannote[240].start 3634.97346875
transcript.pyannote[240].end 3638.70284375
transcript.pyannote[241].speaker SPEAKER_13
transcript.pyannote[241].start 3639.22596875
transcript.pyannote[241].end 3644.52471875
transcript.pyannote[242].speaker SPEAKER_13
transcript.pyannote[242].start 3644.99721875
transcript.pyannote[242].end 3649.40159375
transcript.pyannote[243].speaker SPEAKER_13
transcript.pyannote[243].start 3649.92471875
transcript.pyannote[243].end 3653.77221875
transcript.pyannote[244].speaker SPEAKER_13
transcript.pyannote[244].start 3653.97471875
transcript.pyannote[244].end 3654.46409375
transcript.pyannote[245].speaker SPEAKER_13
transcript.pyannote[245].start 3654.85221875
transcript.pyannote[245].end 3657.18096875
transcript.pyannote[246].speaker SPEAKER_13
transcript.pyannote[246].start 3657.53534375
transcript.pyannote[246].end 3660.37034375
transcript.pyannote[247].speaker SPEAKER_13
transcript.pyannote[247].start 3660.62346875
transcript.pyannote[247].end 3671.06909375
transcript.pyannote[248].speaker SPEAKER_13
transcript.pyannote[248].start 3671.81159375
transcript.pyannote[248].end 3675.67596875
transcript.pyannote[249].speaker SPEAKER_13
transcript.pyannote[249].start 3675.96284375
transcript.pyannote[249].end 3690.67784375
transcript.pyannote[250].speaker SPEAKER_13
transcript.pyannote[250].start 3690.93096875
transcript.pyannote[250].end 3703.19909375
transcript.pyannote[251].speaker SPEAKER_13
transcript.pyannote[251].start 3703.40159375
transcript.pyannote[251].end 3706.05096875
transcript.pyannote[252].speaker SPEAKER_13
transcript.pyannote[252].start 3706.25346875
transcript.pyannote[252].end 3715.75409375
transcript.pyannote[253].speaker SPEAKER_13
transcript.pyannote[253].start 3716.04096875
transcript.pyannote[253].end 3719.60159375
transcript.pyannote[254].speaker SPEAKER_13
transcript.pyannote[254].start 3719.87159375
transcript.pyannote[254].end 3749.95971875
transcript.pyannote[255].speaker SPEAKER_06
transcript.pyannote[255].start 3750.85409375
transcript.pyannote[255].end 3752.38971875
transcript.pyannote[256].speaker SPEAKER_06
transcript.pyannote[256].start 3753.33471875
transcript.pyannote[256].end 3773.46659375
transcript.pyannote[257].speaker SPEAKER_20
transcript.pyannote[257].start 3773.46659375
transcript.pyannote[257].end 3773.48346875
transcript.pyannote[258].speaker SPEAKER_16
transcript.pyannote[258].start 3773.48346875
transcript.pyannote[258].end 3773.50034375
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 3774.64784375
transcript.pyannote[259].end 3775.96409375
transcript.pyannote[260].speaker SPEAKER_16
transcript.pyannote[260].start 3775.96409375
transcript.pyannote[260].end 3792.68721875
transcript.pyannote[261].speaker SPEAKER_16
transcript.pyannote[261].start 3792.70409375
transcript.pyannote[261].end 3795.03284375
transcript.pyannote[262].speaker SPEAKER_16
transcript.pyannote[262].start 3795.08346875
transcript.pyannote[262].end 3845.11784375
transcript.pyannote[263].speaker SPEAKER_16
transcript.pyannote[263].start 3845.42159375
transcript.pyannote[263].end 3851.56409375
transcript.pyannote[264].speaker SPEAKER_16
transcript.pyannote[264].start 3851.73284375
transcript.pyannote[264].end 3865.62096875
transcript.pyannote[265].speaker SPEAKER_16
transcript.pyannote[265].start 3865.85721875
transcript.pyannote[265].end 3898.47659375
transcript.pyannote[266].speaker SPEAKER_16
transcript.pyannote[266].start 3898.79721875
transcript.pyannote[266].end 3922.37159375
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 3922.82721875
transcript.pyannote[267].end 3924.56534375
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 3925.24034375
transcript.pyannote[268].end 3953.87721875
transcript.pyannote[269].speaker SPEAKER_06
transcript.pyannote[269].start 3955.88534375
transcript.pyannote[269].end 3963.73221875
transcript.pyannote[270].speaker SPEAKER_06
transcript.pyannote[270].start 3964.10346875
transcript.pyannote[270].end 3971.59596875
transcript.pyannote[271].speaker SPEAKER_06
transcript.pyannote[271].start 3972.00096875
transcript.pyannote[271].end 3974.83596875
transcript.pyannote[272].speaker SPEAKER_06
transcript.pyannote[272].start 3975.12284375
transcript.pyannote[272].end 3989.39909375
transcript.pyannote[273].speaker SPEAKER_06
transcript.pyannote[273].start 3989.75346875
transcript.pyannote[273].end 4019.53784375
transcript.pyannote[274].speaker SPEAKER_06
transcript.pyannote[274].start 4019.75721875
transcript.pyannote[274].end 4022.03534375
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 4022.35596875
transcript.pyannote[275].end 4027.23284375
transcript.pyannote[276].speaker SPEAKER_06
transcript.pyannote[276].start 4029.13971875
transcript.pyannote[276].end 4030.43909375
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 4036.58159375
transcript.pyannote[277].end 4038.65721875
transcript.pyannote[278].speaker SPEAKER_06
transcript.pyannote[278].start 4039.83846875
transcript.pyannote[278].end 4040.83409375
transcript.pyannote[279].speaker SPEAKER_14
transcript.pyannote[279].start 4045.96409375
transcript.pyannote[279].end 4083.08909375
transcript.pyannote[280].speaker SPEAKER_14
transcript.pyannote[280].start 4083.49409375
transcript.pyannote[280].end 4090.12596875
transcript.pyannote[281].speaker SPEAKER_27
transcript.pyannote[281].start 4091.67846875
transcript.pyannote[281].end 4099.18784375
transcript.pyannote[282].speaker SPEAKER_14
transcript.pyannote[282].start 4098.90096875
transcript.pyannote[282].end 4112.14784375
transcript.pyannote[283].speaker SPEAKER_14
transcript.pyannote[283].start 4112.97471875
transcript.pyannote[283].end 4120.73721875
transcript.pyannote[284].speaker SPEAKER_27
transcript.pyannote[284].start 4122.22221875
transcript.pyannote[284].end 4134.96284375
transcript.pyannote[285].speaker SPEAKER_14
transcript.pyannote[285].start 4134.59159375
transcript.pyannote[285].end 4144.64909375
transcript.pyannote[286].speaker SPEAKER_14
transcript.pyannote[286].start 4145.02034375
transcript.pyannote[286].end 4145.54346875
transcript.pyannote[287].speaker SPEAKER_14
transcript.pyannote[287].start 4145.67846875
transcript.pyannote[287].end 4146.64034375
transcript.pyannote[288].speaker SPEAKER_14
transcript.pyannote[288].start 4147.50096875
transcript.pyannote[288].end 4147.95659375
transcript.pyannote[289].speaker SPEAKER_14
transcript.pyannote[289].start 4148.31096875
transcript.pyannote[289].end 4148.93534375
transcript.pyannote[290].speaker SPEAKER_14
transcript.pyannote[290].start 4149.67784375
transcript.pyannote[290].end 4151.41596875
transcript.pyannote[291].speaker SPEAKER_14
transcript.pyannote[291].start 4151.63534375
transcript.pyannote[291].end 4152.51284375
transcript.pyannote[292].speaker SPEAKER_14
transcript.pyannote[292].start 4152.91784375
transcript.pyannote[292].end 4154.68971875
transcript.pyannote[293].speaker SPEAKER_14
transcript.pyannote[293].start 4154.80784375
transcript.pyannote[293].end 4173.18471875
transcript.pyannote[294].speaker SPEAKER_14
transcript.pyannote[294].start 4173.65721875
transcript.pyannote[294].end 4174.23096875
transcript.pyannote[295].speaker SPEAKER_14
transcript.pyannote[295].start 4174.66971875
transcript.pyannote[295].end 4176.17159375
transcript.pyannote[296].speaker SPEAKER_14
transcript.pyannote[296].start 4177.09971875
transcript.pyannote[296].end 4183.90034375
transcript.pyannote[297].speaker SPEAKER_14
transcript.pyannote[297].start 4184.10284375
transcript.pyannote[297].end 4184.69346875
transcript.pyannote[298].speaker SPEAKER_27
transcript.pyannote[298].start 4185.45284375
transcript.pyannote[298].end 4193.94096875
transcript.pyannote[299].speaker SPEAKER_14
transcript.pyannote[299].start 4189.18221875
transcript.pyannote[299].end 4189.35096875
transcript.pyannote[300].speaker SPEAKER_14
transcript.pyannote[300].start 4189.43534375
transcript.pyannote[300].end 4191.46034375
transcript.pyannote[301].speaker SPEAKER_14
transcript.pyannote[301].start 4193.94096875
transcript.pyannote[301].end 4204.26846875
transcript.pyannote[302].speaker SPEAKER_14
transcript.pyannote[302].start 4204.42034375
transcript.pyannote[302].end 4207.98096875
transcript.pyannote[303].speaker SPEAKER_14
transcript.pyannote[303].start 4208.99346875
transcript.pyannote[303].end 4209.80346875
transcript.pyannote[304].speaker SPEAKER_27
transcript.pyannote[304].start 4210.03971875
transcript.pyannote[304].end 4210.90034375
transcript.pyannote[305].speaker SPEAKER_27
transcript.pyannote[305].start 4210.96784375
transcript.pyannote[305].end 4210.98471875
transcript.pyannote[306].speaker SPEAKER_27
transcript.pyannote[306].start 4211.06909375
transcript.pyannote[306].end 4214.37659375
transcript.pyannote[307].speaker SPEAKER_27
transcript.pyannote[307].start 4215.57471875
transcript.pyannote[307].end 4216.82346875
transcript.pyannote[308].speaker SPEAKER_14
transcript.pyannote[308].start 4216.82346875
transcript.pyannote[308].end 4216.84034375
transcript.pyannote[309].speaker SPEAKER_27
transcript.pyannote[309].start 4216.84034375
transcript.pyannote[309].end 4216.85721875
transcript.pyannote[310].speaker SPEAKER_14
transcript.pyannote[310].start 4217.05971875
transcript.pyannote[310].end 4223.25284375
transcript.pyannote[311].speaker SPEAKER_14
transcript.pyannote[311].start 4224.02909375
transcript.pyannote[311].end 4226.40846875
transcript.pyannote[312].speaker SPEAKER_14
transcript.pyannote[312].start 4227.16784375
transcript.pyannote[312].end 4227.69096875
transcript.pyannote[313].speaker SPEAKER_14
transcript.pyannote[313].start 4228.46721875
transcript.pyannote[313].end 4249.13909375
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 4249.84784375
transcript.pyannote[314].end 4252.34534375
transcript.pyannote[315].speaker SPEAKER_27
transcript.pyannote[315].start 4253.45909375
transcript.pyannote[315].end 4262.16659375
transcript.pyannote[316].speaker SPEAKER_14
transcript.pyannote[316].start 4261.33971875
transcript.pyannote[316].end 4265.87909375
transcript.pyannote[317].speaker SPEAKER_14
transcript.pyannote[317].start 4266.46971875
transcript.pyannote[317].end 4283.96909375
transcript.pyannote[318].speaker SPEAKER_14
transcript.pyannote[318].start 4285.09971875
transcript.pyannote[318].end 4286.07846875
transcript.pyannote[319].speaker SPEAKER_14
transcript.pyannote[319].start 4286.41596875
transcript.pyannote[319].end 4291.36034375
transcript.pyannote[320].speaker SPEAKER_14
transcript.pyannote[320].start 4291.98471875
transcript.pyannote[320].end 4294.17846875
transcript.pyannote[321].speaker SPEAKER_27
transcript.pyannote[321].start 4294.65096875
transcript.pyannote[321].end 4301.67096875
transcript.pyannote[322].speaker SPEAKER_27
transcript.pyannote[322].start 4302.34596875
transcript.pyannote[322].end 4310.83409375
transcript.pyannote[323].speaker SPEAKER_14
transcript.pyannote[323].start 4309.65284375
transcript.pyannote[323].end 4309.85534375
transcript.pyannote[324].speaker SPEAKER_14
transcript.pyannote[324].start 4311.35721875
transcript.pyannote[324].end 4322.19096875
transcript.pyannote[325].speaker SPEAKER_14
transcript.pyannote[325].start 4322.71409375
transcript.pyannote[325].end 4341.27659375
transcript.pyannote[326].speaker SPEAKER_14
transcript.pyannote[326].start 4342.06971875
transcript.pyannote[326].end 4343.31846875
transcript.pyannote[327].speaker SPEAKER_27
transcript.pyannote[327].start 4343.60534375
transcript.pyannote[327].end 4350.06846875
transcript.pyannote[328].speaker SPEAKER_27
transcript.pyannote[328].start 4350.18659375
transcript.pyannote[328].end 4353.71346875
transcript.pyannote[329].speaker SPEAKER_14
transcript.pyannote[329].start 4354.06784375
transcript.pyannote[329].end 4355.21534375
transcript.pyannote[330].speaker SPEAKER_14
transcript.pyannote[330].start 4355.67096875
transcript.pyannote[330].end 4356.32909375
transcript.pyannote[331].speaker SPEAKER_14
transcript.pyannote[331].start 4357.13909375
transcript.pyannote[331].end 4357.25721875
transcript.pyannote[332].speaker SPEAKER_27
transcript.pyannote[332].start 4357.35846875
transcript.pyannote[332].end 4364.17596875
transcript.pyannote[333].speaker SPEAKER_14
transcript.pyannote[333].start 4362.57284375
transcript.pyannote[333].end 4363.28159375
transcript.pyannote[334].speaker SPEAKER_14
transcript.pyannote[334].start 4364.61471875
transcript.pyannote[334].end 4364.88471875
transcript.pyannote[335].speaker SPEAKER_14
transcript.pyannote[335].start 4365.96471875
transcript.pyannote[335].end 4366.85909375
transcript.pyannote[336].speaker SPEAKER_14
transcript.pyannote[336].start 4367.56784375
transcript.pyannote[336].end 4369.13721875
transcript.pyannote[337].speaker SPEAKER_27
transcript.pyannote[337].start 4370.35221875
transcript.pyannote[337].end 4371.06096875
transcript.pyannote[338].speaker SPEAKER_27
transcript.pyannote[338].start 4371.12846875
transcript.pyannote[338].end 4376.76471875
transcript.pyannote[339].speaker SPEAKER_14
transcript.pyannote[339].start 4376.88284375
transcript.pyannote[339].end 4379.92034375
transcript.pyannote[340].speaker SPEAKER_14
transcript.pyannote[340].start 4379.95409375
transcript.pyannote[340].end 4381.54034375
transcript.pyannote[341].speaker SPEAKER_14
transcript.pyannote[341].start 4383.32909375
transcript.pyannote[341].end 4383.63284375
transcript.pyannote[342].speaker SPEAKER_14
transcript.pyannote[342].start 4383.80159375
transcript.pyannote[342].end 4385.69159375
transcript.pyannote[343].speaker SPEAKER_14
transcript.pyannote[343].start 4385.92784375
transcript.pyannote[343].end 4386.61971875
transcript.pyannote[344].speaker SPEAKER_27
transcript.pyannote[344].start 4388.02034375
transcript.pyannote[344].end 4392.22221875
transcript.pyannote[345].speaker SPEAKER_14
transcript.pyannote[345].start 4392.22221875
transcript.pyannote[345].end 4395.49596875
transcript.pyannote[346].speaker SPEAKER_14
transcript.pyannote[346].start 4395.85034375
transcript.pyannote[346].end 4403.44409375
transcript.pyannote[347].speaker SPEAKER_14
transcript.pyannote[347].start 4405.24971875
transcript.pyannote[347].end 4409.89034375
transcript.pyannote[348].speaker SPEAKER_14
transcript.pyannote[348].start 4411.24034375
transcript.pyannote[348].end 4420.50471875
transcript.pyannote[349].speaker SPEAKER_14
transcript.pyannote[349].start 4421.11221875
transcript.pyannote[349].end 4424.95971875
transcript.pyannote[350].speaker SPEAKER_14
transcript.pyannote[350].start 4425.36471875
transcript.pyannote[350].end 4425.58409375
transcript.pyannote[351].speaker SPEAKER_14
transcript.pyannote[351].start 4425.76971875
transcript.pyannote[351].end 4431.91221875
transcript.pyannote[352].speaker SPEAKER_27
transcript.pyannote[352].start 4433.05971875
transcript.pyannote[352].end 4444.63596875
transcript.pyannote[353].speaker SPEAKER_14
transcript.pyannote[353].start 4443.38721875
transcript.pyannote[353].end 4447.21784375
transcript.pyannote[354].speaker SPEAKER_27
transcript.pyannote[354].start 4447.67346875
transcript.pyannote[354].end 4458.89534375
transcript.pyannote[355].speaker SPEAKER_14
transcript.pyannote[355].start 4456.39784375
transcript.pyannote[355].end 4456.98846875
transcript.pyannote[356].speaker SPEAKER_14
transcript.pyannote[356].start 4458.30471875
transcript.pyannote[356].end 4477.49159375
transcript.pyannote[357].speaker SPEAKER_27
transcript.pyannote[357].start 4477.62659375
transcript.pyannote[357].end 4477.99784375
transcript.pyannote[358].speaker SPEAKER_27
transcript.pyannote[358].start 4479.31409375
transcript.pyannote[358].end 4486.18221875
transcript.pyannote[359].speaker SPEAKER_14
transcript.pyannote[359].start 4486.18221875
transcript.pyannote[359].end 4496.98221875
transcript.pyannote[360].speaker SPEAKER_14
transcript.pyannote[360].start 4497.62346875
transcript.pyannote[360].end 4501.60596875
transcript.pyannote[361].speaker SPEAKER_27
transcript.pyannote[361].start 4502.31471875
transcript.pyannote[361].end 4502.43284375
transcript.pyannote[362].speaker SPEAKER_14
transcript.pyannote[362].start 4502.43284375
transcript.pyannote[362].end 4502.75346875
transcript.pyannote[363].speaker SPEAKER_27
transcript.pyannote[363].start 4502.44971875
transcript.pyannote[363].end 4502.66909375
transcript.pyannote[364].speaker SPEAKER_27
transcript.pyannote[364].start 4502.75346875
transcript.pyannote[364].end 4502.78721875
transcript.pyannote[365].speaker SPEAKER_27
transcript.pyannote[365].start 4502.87159375
transcript.pyannote[365].end 4518.12659375
transcript.pyannote[366].speaker SPEAKER_00
transcript.pyannote[366].start 4509.89159375
transcript.pyannote[366].end 4509.97596875
transcript.pyannote[367].speaker SPEAKER_14
transcript.pyannote[367].start 4509.97596875
transcript.pyannote[367].end 4510.24596875
transcript.pyannote[368].speaker SPEAKER_14
transcript.pyannote[368].start 4517.36721875
transcript.pyannote[368].end 4522.48034375
transcript.pyannote[369].speaker SPEAKER_27
transcript.pyannote[369].start 4523.34096875
transcript.pyannote[369].end 4528.42034375
transcript.pyannote[370].speaker SPEAKER_14
transcript.pyannote[370].start 4528.42034375
transcript.pyannote[370].end 4533.01034375
transcript.pyannote[371].speaker SPEAKER_27
transcript.pyannote[371].start 4534.76534375
transcript.pyannote[371].end 4540.65471875
transcript.pyannote[372].speaker SPEAKER_20
transcript.pyannote[372].start 4541.39721875
transcript.pyannote[372].end 4543.23659375
transcript.pyannote[373].speaker SPEAKER_27
transcript.pyannote[373].start 4543.67534375
transcript.pyannote[373].end 4543.72596875
transcript.pyannote[374].speaker SPEAKER_20
transcript.pyannote[374].start 4543.72596875
transcript.pyannote[374].end 4543.89471875
transcript.pyannote[375].speaker SPEAKER_27
transcript.pyannote[375].start 4543.89471875
transcript.pyannote[375].end 4550.35784375
transcript.pyannote[376].speaker SPEAKER_14
transcript.pyannote[376].start 4549.93596875
transcript.pyannote[376].end 4557.44534375
transcript.pyannote[377].speaker SPEAKER_14
transcript.pyannote[377].start 4558.45784375
transcript.pyannote[377].end 4575.31596875
transcript.pyannote[378].speaker SPEAKER_14
transcript.pyannote[378].start 4575.68721875
transcript.pyannote[378].end 4578.55596875
transcript.pyannote[379].speaker SPEAKER_14
transcript.pyannote[379].start 4578.84284375
transcript.pyannote[379].end 4598.43471875
transcript.pyannote[380].speaker SPEAKER_27
transcript.pyannote[380].start 4598.56971875
transcript.pyannote[380].end 4600.67909375
transcript.pyannote[381].speaker SPEAKER_14
transcript.pyannote[381].start 4600.08846875
transcript.pyannote[381].end 4600.30784375
transcript.pyannote[382].speaker SPEAKER_14
transcript.pyannote[382].start 4600.86471875
transcript.pyannote[382].end 4621.13159375
transcript.pyannote[383].speaker SPEAKER_14
transcript.pyannote[383].start 4621.31721875
transcript.pyannote[383].end 4633.63596875
transcript.pyannote[384].speaker SPEAKER_14
transcript.pyannote[384].start 4633.95659375
transcript.pyannote[384].end 4635.32346875
transcript.pyannote[385].speaker SPEAKER_14
transcript.pyannote[385].start 4635.94784375
transcript.pyannote[385].end 4637.60159375
transcript.pyannote[386].speaker SPEAKER_14
transcript.pyannote[386].start 4637.85471875
transcript.pyannote[386].end 4640.65596875
transcript.pyannote[387].speaker SPEAKER_27
transcript.pyannote[387].start 4641.49971875
transcript.pyannote[387].end 4644.89159375
transcript.pyannote[388].speaker SPEAKER_14
transcript.pyannote[388].start 4643.71034375
transcript.pyannote[388].end 4644.38534375
transcript.pyannote[389].speaker SPEAKER_27
transcript.pyannote[389].start 4645.06034375
transcript.pyannote[389].end 4645.09409375
transcript.pyannote[390].speaker SPEAKER_14
transcript.pyannote[390].start 4645.09409375
transcript.pyannote[390].end 4647.11909375
transcript.pyannote[391].speaker SPEAKER_27
transcript.pyannote[391].start 4647.11909375
transcript.pyannote[391].end 4647.16971875
transcript.pyannote[392].speaker SPEAKER_14
transcript.pyannote[392].start 4647.13596875
transcript.pyannote[392].end 4648.46909375
transcript.pyannote[393].speaker SPEAKER_27
transcript.pyannote[393].start 4649.32971875
transcript.pyannote[393].end 4649.34659375
transcript.pyannote[394].speaker SPEAKER_14
transcript.pyannote[394].start 4649.34659375
transcript.pyannote[394].end 4652.06346875
transcript.pyannote[395].speaker SPEAKER_14
transcript.pyannote[395].start 4653.00846875
transcript.pyannote[395].end 4653.95346875
transcript.pyannote[396].speaker SPEAKER_27
transcript.pyannote[396].start 4655.11784375
transcript.pyannote[396].end 4656.56909375
transcript.pyannote[397].speaker SPEAKER_14
transcript.pyannote[397].start 4657.73346875
transcript.pyannote[397].end 4659.89346875
transcript.pyannote[398].speaker SPEAKER_27
transcript.pyannote[398].start 4660.04534375
transcript.pyannote[398].end 4662.25596875
transcript.pyannote[399].speaker SPEAKER_14
transcript.pyannote[399].start 4662.34034375
transcript.pyannote[399].end 4662.86346875
transcript.pyannote[400].speaker SPEAKER_14
transcript.pyannote[400].start 4663.89284375
transcript.pyannote[400].end 4664.50034375
transcript.pyannote[401].speaker SPEAKER_14
transcript.pyannote[401].start 4664.61846875
transcript.pyannote[401].end 4666.12034375
transcript.pyannote[402].speaker SPEAKER_14
transcript.pyannote[402].start 4667.06534375
transcript.pyannote[402].end 4669.95096875
transcript.pyannote[403].speaker SPEAKER_14
transcript.pyannote[403].start 4670.72721875
transcript.pyannote[403].end 4672.51596875
transcript.pyannote[404].speaker SPEAKER_14
transcript.pyannote[404].start 4672.76909375
transcript.pyannote[404].end 4674.81096875
transcript.pyannote[405].speaker SPEAKER_14
transcript.pyannote[405].start 4675.16534375
transcript.pyannote[405].end 4682.91096875
transcript.pyannote[406].speaker SPEAKER_14
transcript.pyannote[406].start 4683.46784375
transcript.pyannote[406].end 4684.51409375
transcript.pyannote[407].speaker SPEAKER_14
transcript.pyannote[407].start 4685.08784375
transcript.pyannote[407].end 4691.73659375
transcript.pyannote[408].speaker SPEAKER_14
transcript.pyannote[408].start 4692.31034375
transcript.pyannote[408].end 4693.23846875
transcript.pyannote[409].speaker SPEAKER_14
transcript.pyannote[409].start 4694.20034375
transcript.pyannote[409].end 4705.28721875
transcript.pyannote[410].speaker SPEAKER_27
transcript.pyannote[410].start 4706.65409375
transcript.pyannote[410].end 4708.03784375
transcript.pyannote[411].speaker SPEAKER_27
transcript.pyannote[411].start 4708.52721875
transcript.pyannote[411].end 4709.50596875
transcript.pyannote[412].speaker SPEAKER_27
transcript.pyannote[412].start 4709.60721875
transcript.pyannote[412].end 4709.97846875
transcript.pyannote[413].speaker SPEAKER_14
transcript.pyannote[413].start 4709.97846875
transcript.pyannote[413].end 4711.69971875
transcript.pyannote[414].speaker SPEAKER_14
transcript.pyannote[414].start 4712.39159375
transcript.pyannote[414].end 4719.32721875
transcript.pyannote[415].speaker SPEAKER_14
transcript.pyannote[415].start 4720.57596875
transcript.pyannote[415].end 4722.39846875
transcript.pyannote[416].speaker SPEAKER_14
transcript.pyannote[416].start 4722.95534375
transcript.pyannote[416].end 4723.63034375
transcript.pyannote[417].speaker SPEAKER_14
transcript.pyannote[417].start 4723.98471875
transcript.pyannote[417].end 4724.74409375
transcript.pyannote[418].speaker SPEAKER_14
transcript.pyannote[418].start 4724.94659375
transcript.pyannote[418].end 4729.55346875
transcript.pyannote[419].speaker SPEAKER_14
transcript.pyannote[419].start 4730.76846875
transcript.pyannote[419].end 4738.96971875
transcript.pyannote[420].speaker SPEAKER_27
transcript.pyannote[420].start 4740.45471875
transcript.pyannote[420].end 4742.46284375
transcript.pyannote[421].speaker SPEAKER_14
transcript.pyannote[421].start 4742.05784375
transcript.pyannote[421].end 4749.07784375
transcript.pyannote[422].speaker SPEAKER_14
transcript.pyannote[422].start 4750.12409375
transcript.pyannote[422].end 4760.63721875
transcript.pyannote[423].speaker SPEAKER_27
transcript.pyannote[423].start 4762.88159375
transcript.pyannote[423].end 4763.64096875
transcript.pyannote[424].speaker SPEAKER_27
transcript.pyannote[424].start 4764.01221875
transcript.pyannote[424].end 4764.02909375
transcript.pyannote[425].speaker SPEAKER_14
transcript.pyannote[425].start 4764.02909375
transcript.pyannote[425].end 4764.70409375
transcript.pyannote[426].speaker SPEAKER_14
transcript.pyannote[426].start 4766.71221875
transcript.pyannote[426].end 4769.04096875
transcript.pyannote[427].speaker SPEAKER_14
transcript.pyannote[427].start 4769.74971875
transcript.pyannote[427].end 4782.08534375
transcript.pyannote[428].speaker SPEAKER_14
transcript.pyannote[428].start 4782.70971875
transcript.pyannote[428].end 4786.91159375
transcript.pyannote[429].speaker SPEAKER_14
transcript.pyannote[429].start 4787.31659375
transcript.pyannote[429].end 4789.44284375
transcript.pyannote[430].speaker SPEAKER_14
transcript.pyannote[430].start 4790.87721875
transcript.pyannote[430].end 4791.29909375
transcript.pyannote[431].speaker SPEAKER_14
transcript.pyannote[431].start 4792.85159375
transcript.pyannote[431].end 4793.50971875
transcript.pyannote[432].speaker SPEAKER_14
transcript.pyannote[432].start 4794.94409375
transcript.pyannote[432].end 4797.03659375
transcript.pyannote[433].speaker SPEAKER_14
transcript.pyannote[433].start 4797.37409375
transcript.pyannote[433].end 4804.95096875
transcript.pyannote[434].speaker SPEAKER_14
transcript.pyannote[434].start 4805.86221875
transcript.pyannote[434].end 4807.07721875
transcript.pyannote[435].speaker SPEAKER_14
transcript.pyannote[435].start 4807.61721875
transcript.pyannote[435].end 4809.62534375
transcript.pyannote[436].speaker SPEAKER_14
transcript.pyannote[436].start 4811.43096875
transcript.pyannote[436].end 4811.92034375
transcript.pyannote[437].speaker SPEAKER_14
transcript.pyannote[437].start 4812.64596875
transcript.pyannote[437].end 4813.43909375
transcript.pyannote[438].speaker SPEAKER_14
transcript.pyannote[438].start 4814.19846875
transcript.pyannote[438].end 4829.85846875
transcript.pyannote[439].speaker SPEAKER_14
transcript.pyannote[439].start 4830.46596875
transcript.pyannote[439].end 4832.32221875
transcript.pyannote[440].speaker SPEAKER_14
transcript.pyannote[440].start 4832.89596875
transcript.pyannote[440].end 4835.59596875
transcript.pyannote[441].speaker SPEAKER_14
transcript.pyannote[441].start 4836.10221875
transcript.pyannote[441].end 4836.76034375
transcript.pyannote[442].speaker SPEAKER_14
transcript.pyannote[442].start 4837.68846875
transcript.pyannote[442].end 4840.48971875
transcript.pyannote[443].speaker SPEAKER_14
transcript.pyannote[443].start 4841.58659375
transcript.pyannote[443].end 4842.98721875
transcript.pyannote[444].speaker SPEAKER_14
transcript.pyannote[444].start 4843.47659375
transcript.pyannote[444].end 4844.33721875
transcript.pyannote[445].speaker SPEAKER_14
transcript.pyannote[445].start 4845.73784375
transcript.pyannote[445].end 4846.78409375
transcript.pyannote[446].speaker SPEAKER_14
transcript.pyannote[446].start 4849.18034375
transcript.pyannote[446].end 4852.15034375
transcript.pyannote[447].speaker SPEAKER_27
transcript.pyannote[447].start 4853.38221875
transcript.pyannote[447].end 4857.14534375
transcript.pyannote[448].speaker SPEAKER_14
transcript.pyannote[448].start 4857.14534375
transcript.pyannote[448].end 4861.36409375
transcript.pyannote[449].speaker SPEAKER_14
transcript.pyannote[449].start 4861.71846875
transcript.pyannote[449].end 4868.35034375
transcript.pyannote[450].speaker SPEAKER_27
transcript.pyannote[450].start 4866.32534375
transcript.pyannote[450].end 4866.61221875
transcript.pyannote[451].speaker SPEAKER_14
transcript.pyannote[451].start 4870.25721875
transcript.pyannote[451].end 4870.66221875
transcript.pyannote[452].speaker SPEAKER_14
transcript.pyannote[452].start 4871.48909375
transcript.pyannote[452].end 4872.29909375
transcript.pyannote[453].speaker SPEAKER_14
transcript.pyannote[453].start 4873.19346875
transcript.pyannote[453].end 4878.72846875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 4878.91409375
transcript.pyannote[454].end 4884.76971875
transcript.pyannote[455].speaker SPEAKER_14
transcript.pyannote[455].start 4885.98471875
transcript.pyannote[455].end 4887.26721875
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 4889.25846875
transcript.pyannote[456].end 4889.59596875
transcript.pyannote[457].speaker SPEAKER_27
transcript.pyannote[457].start 4890.08534375
transcript.pyannote[457].end 4890.15284375
transcript.pyannote[458].speaker SPEAKER_06
transcript.pyannote[458].start 4890.15284375
transcript.pyannote[458].end 4890.18659375
transcript.pyannote[459].speaker SPEAKER_27
transcript.pyannote[459].start 4890.18659375
transcript.pyannote[459].end 4890.54096875
transcript.pyannote[460].speaker SPEAKER_06
transcript.pyannote[460].start 4890.54096875
transcript.pyannote[460].end 4890.55784375
transcript.pyannote[461].speaker SPEAKER_27
transcript.pyannote[461].start 4890.55784375
transcript.pyannote[461].end 4890.59159375
transcript.pyannote[462].speaker SPEAKER_06
transcript.pyannote[462].start 4890.59159375
transcript.pyannote[462].end 4890.60846875
transcript.pyannote[463].speaker SPEAKER_06
transcript.pyannote[463].start 4891.04721875
transcript.pyannote[463].end 4892.31284375
transcript.pyannote[464].speaker SPEAKER_06
transcript.pyannote[464].start 4892.58284375
transcript.pyannote[464].end 4893.07221875
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 4894.08471875
transcript.pyannote[465].end 4897.42596875
transcript.pyannote[466].speaker SPEAKER_06
transcript.pyannote[466].start 4897.78034375
transcript.pyannote[466].end 4898.64096875
transcript.pyannote[467].speaker SPEAKER_14
transcript.pyannote[467].start 4904.95221875
transcript.pyannote[467].end 4908.27659375
transcript.pyannote[468].speaker SPEAKER_06
transcript.pyannote[468].start 4914.14909375
transcript.pyannote[468].end 4915.97159375
transcript.pyannote[469].speaker SPEAKER_14
transcript.pyannote[469].start 4915.97159375
transcript.pyannote[469].end 4916.03909375
transcript.pyannote[470].speaker SPEAKER_06
transcript.pyannote[470].start 4916.03909375
transcript.pyannote[470].end 4916.19096875
transcript.pyannote[471].speaker SPEAKER_14
transcript.pyannote[471].start 4916.19096875
transcript.pyannote[471].end 4917.03471875
transcript.pyannote[472].speaker SPEAKER_06
transcript.pyannote[472].start 4917.03471875
transcript.pyannote[472].end 4917.54096875
transcript.pyannote[473].speaker SPEAKER_06
transcript.pyannote[473].start 4919.43096875
transcript.pyannote[473].end 4920.96659375
transcript.pyannote[474].speaker SPEAKER_14
transcript.pyannote[474].start 4921.59096875
transcript.pyannote[474].end 4922.35034375
transcript.pyannote[475].speaker SPEAKER_06
transcript.pyannote[475].start 4924.79721875
transcript.pyannote[475].end 4924.94909375
transcript.pyannote[476].speaker SPEAKER_27
transcript.pyannote[476].start 4924.94909375
transcript.pyannote[476].end 4925.03346875
transcript.pyannote[477].speaker SPEAKER_06
transcript.pyannote[477].start 4925.03346875
transcript.pyannote[477].end 4925.23596875
transcript.pyannote[478].speaker SPEAKER_06
transcript.pyannote[478].start 4926.46784375
transcript.pyannote[478].end 4926.85596875
transcript.pyannote[479].speaker SPEAKER_06
transcript.pyannote[479].start 4929.64034375
transcript.pyannote[479].end 4932.72846875
transcript.pyannote[480].speaker SPEAKER_06
transcript.pyannote[480].start 4933.33596875
transcript.pyannote[480].end 4935.52971875
transcript.pyannote[481].speaker SPEAKER_06
transcript.pyannote[481].start 4936.44096875
transcript.pyannote[481].end 4937.21721875
transcript.pyannote[482].speaker SPEAKER_06
transcript.pyannote[482].start 4937.60534375
transcript.pyannote[482].end 4938.76971875
transcript.pyannote[483].speaker SPEAKER_06
transcript.pyannote[483].start 4939.49534375
transcript.pyannote[483].end 4942.65096875
transcript.pyannote[484].speaker SPEAKER_06
transcript.pyannote[484].start 4943.34284375
transcript.pyannote[484].end 4947.51096875
transcript.pyannote[485].speaker SPEAKER_06
transcript.pyannote[485].start 4948.03409375
transcript.pyannote[485].end 4948.96221875
transcript.pyannote[486].speaker SPEAKER_06
transcript.pyannote[486].start 4949.68784375
transcript.pyannote[486].end 4950.39659375
transcript.pyannote[487].speaker SPEAKER_06
transcript.pyannote[487].start 4951.17284375
transcript.pyannote[487].end 4953.19784375
transcript.pyannote[488].speaker SPEAKER_06
transcript.pyannote[488].start 4953.97409375
transcript.pyannote[488].end 4954.49721875
transcript.pyannote[489].speaker SPEAKER_06
transcript.pyannote[489].start 4955.40846875
transcript.pyannote[489].end 4956.57284375
transcript.pyannote[490].speaker SPEAKER_06
transcript.pyannote[490].start 4957.01159375
transcript.pyannote[490].end 4959.20534375
transcript.pyannote[491].speaker SPEAKER_06
transcript.pyannote[491].start 4959.67784375
transcript.pyannote[491].end 4962.52971875
transcript.pyannote[492].speaker SPEAKER_06
transcript.pyannote[492].start 4962.63096875
transcript.pyannote[492].end 4963.18784375
transcript.pyannote[493].speaker SPEAKER_06
transcript.pyannote[493].start 4964.50409375
transcript.pyannote[493].end 4965.71909375
transcript.pyannote[494].speaker SPEAKER_06
transcript.pyannote[494].start 4966.10721875
transcript.pyannote[494].end 4969.00971875
transcript.pyannote[495].speaker SPEAKER_06
transcript.pyannote[495].start 4969.56659375
transcript.pyannote[495].end 4971.64221875
transcript.pyannote[496].speaker SPEAKER_06
transcript.pyannote[496].start 4972.11471875
transcript.pyannote[496].end 4975.45596875
transcript.pyannote[497].speaker SPEAKER_06
transcript.pyannote[497].start 4975.84409375
transcript.pyannote[497].end 4976.82284375
transcript.pyannote[498].speaker SPEAKER_06
transcript.pyannote[498].start 4977.37971875
transcript.pyannote[498].end 4989.64784375
transcript.pyannote[499].speaker SPEAKER_06
transcript.pyannote[499].start 4990.27221875
transcript.pyannote[499].end 4999.13159375
transcript.pyannote[500].speaker SPEAKER_06
transcript.pyannote[500].start 4999.65471875
transcript.pyannote[500].end 5000.12721875
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 5000.73471875
transcript.pyannote[501].end 5006.92784375
transcript.pyannote[502].speaker SPEAKER_27
transcript.pyannote[502].start 5006.92784375
transcript.pyannote[502].end 5007.01221875
transcript.pyannote[503].speaker SPEAKER_06
transcript.pyannote[503].start 5007.01221875
transcript.pyannote[503].end 5009.37471875
transcript.pyannote[504].speaker SPEAKER_27
transcript.pyannote[504].start 5007.02909375
transcript.pyannote[504].end 5007.06284375
transcript.pyannote[505].speaker SPEAKER_06
transcript.pyannote[505].start 5009.88096875
transcript.pyannote[505].end 5010.77534375
transcript.pyannote[506].speaker SPEAKER_06
transcript.pyannote[506].start 5011.14659375
transcript.pyannote[506].end 5026.36784375
transcript.pyannote[507].speaker SPEAKER_06
transcript.pyannote[507].start 5026.51971875
transcript.pyannote[507].end 5034.11346875
transcript.pyannote[508].speaker SPEAKER_06
transcript.pyannote[508].start 5034.73784375
transcript.pyannote[508].end 5036.18909375
transcript.pyannote[509].speaker SPEAKER_06
transcript.pyannote[509].start 5037.03284375
transcript.pyannote[509].end 5037.89346875
transcript.pyannote[510].speaker SPEAKER_06
transcript.pyannote[510].start 5038.77096875
transcript.pyannote[510].end 5040.13784375
transcript.pyannote[511].speaker SPEAKER_20
transcript.pyannote[511].start 5040.54284375
transcript.pyannote[511].end 5040.89721875
transcript.pyannote[512].speaker SPEAKER_06
transcript.pyannote[512].start 5041.09971875
transcript.pyannote[512].end 5043.86721875
transcript.pyannote[513].speaker SPEAKER_06
transcript.pyannote[513].start 5044.40721875
transcript.pyannote[513].end 5053.77284375
transcript.pyannote[514].speaker SPEAKER_06
transcript.pyannote[514].start 5054.49846875
transcript.pyannote[514].end 5061.02909375
transcript.pyannote[515].speaker SPEAKER_06
transcript.pyannote[515].start 5061.33284375
transcript.pyannote[515].end 5069.04471875
transcript.pyannote[516].speaker SPEAKER_06
transcript.pyannote[516].start 5069.61846875
transcript.pyannote[516].end 5079.81096875
transcript.pyannote[517].speaker SPEAKER_06
transcript.pyannote[517].start 5080.68846875
transcript.pyannote[517].end 5081.68409375
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 5082.15659375
transcript.pyannote[518].end 5083.55721875
transcript.pyannote[519].speaker SPEAKER_06
transcript.pyannote[519].start 5084.58659375
transcript.pyannote[519].end 5085.02534375
transcript.pyannote[520].speaker SPEAKER_06
transcript.pyannote[520].start 5085.44721875
transcript.pyannote[520].end 5088.29909375
transcript.pyannote[521].speaker SPEAKER_06
transcript.pyannote[521].start 5089.05846875
transcript.pyannote[521].end 5091.77534375
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 5092.04534375
transcript.pyannote[522].end 5092.97346875
transcript.pyannote[523].speaker SPEAKER_06
transcript.pyannote[523].start 5093.49659375
transcript.pyannote[523].end 5105.03909375
transcript.pyannote[524].speaker SPEAKER_06
transcript.pyannote[524].start 5105.19096875
transcript.pyannote[524].end 5106.82784375
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 5107.23284375
transcript.pyannote[525].end 5109.74721875
transcript.pyannote[526].speaker SPEAKER_27
transcript.pyannote[526].start 5110.40534375
transcript.pyannote[526].end 5120.76659375
transcript.pyannote[527].speaker SPEAKER_27
transcript.pyannote[527].start 5121.39096875
transcript.pyannote[527].end 5126.26784375
transcript.pyannote[528].speaker SPEAKER_27
transcript.pyannote[528].start 5126.36909375
transcript.pyannote[528].end 5128.74846875
transcript.pyannote[529].speaker SPEAKER_27
transcript.pyannote[529].start 5129.23784375
transcript.pyannote[529].end 5144.18909375
transcript.pyannote[530].speaker SPEAKER_27
transcript.pyannote[530].start 5144.23971875
transcript.pyannote[530].end 5151.63096875
transcript.pyannote[531].speaker SPEAKER_27
transcript.pyannote[531].start 5152.05284375
transcript.pyannote[531].end 5159.68034375
transcript.pyannote[532].speaker SPEAKER_27
transcript.pyannote[532].start 5159.89971875
transcript.pyannote[532].end 5173.19721875
transcript.pyannote[533].speaker SPEAKER_27
transcript.pyannote[533].start 5174.02409375
transcript.pyannote[533].end 5177.21346875
transcript.pyannote[534].speaker SPEAKER_27
transcript.pyannote[534].start 5177.50034375
transcript.pyannote[534].end 5178.78284375
transcript.pyannote[535].speaker SPEAKER_06
transcript.pyannote[535].start 5177.93909375
transcript.pyannote[535].end 5182.44471875
transcript.pyannote[536].speaker SPEAKER_06
transcript.pyannote[536].start 5182.59659375
transcript.pyannote[536].end 5191.75971875
transcript.pyannote[537].speaker SPEAKER_06
transcript.pyannote[537].start 5192.46846875
transcript.pyannote[537].end 5195.03346875
transcript.pyannote[538].speaker SPEAKER_06
transcript.pyannote[538].start 5195.43846875
transcript.pyannote[538].end 5196.61971875
transcript.pyannote[539].speaker SPEAKER_06
transcript.pyannote[539].start 5197.27784375
transcript.pyannote[539].end 5202.44159375
transcript.pyannote[540].speaker SPEAKER_06
transcript.pyannote[540].start 5202.71159375
transcript.pyannote[540].end 5205.12471875
transcript.pyannote[541].speaker SPEAKER_06
transcript.pyannote[541].start 5205.41159375
transcript.pyannote[541].end 5222.03346875
transcript.pyannote[542].speaker SPEAKER_06
transcript.pyannote[542].start 5222.25284375
transcript.pyannote[542].end 5227.73721875
transcript.pyannote[543].speaker SPEAKER_06
transcript.pyannote[543].start 5228.14221875
transcript.pyannote[543].end 5234.52096875
transcript.pyannote[544].speaker SPEAKER_06
transcript.pyannote[544].start 5234.97659375
transcript.pyannote[544].end 5236.66409375
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 5237.45721875
transcript.pyannote[545].end 5239.63409375
transcript.pyannote[546].speaker SPEAKER_06
transcript.pyannote[546].start 5240.34284375
transcript.pyannote[546].end 5247.14346875
transcript.pyannote[547].speaker SPEAKER_06
transcript.pyannote[547].start 5247.44721875
transcript.pyannote[547].end 5250.77159375
transcript.pyannote[548].speaker SPEAKER_06
transcript.pyannote[548].start 5251.49721875
transcript.pyannote[548].end 5255.78346875
transcript.pyannote[549].speaker SPEAKER_06
transcript.pyannote[549].start 5256.20534375
transcript.pyannote[549].end 5263.03971875
transcript.pyannote[550].speaker SPEAKER_06
transcript.pyannote[550].start 5263.59659375
transcript.pyannote[550].end 5267.15721875
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 5267.44409375
transcript.pyannote[551].end 5268.86159375
transcript.pyannote[552].speaker SPEAKER_06
transcript.pyannote[552].start 5270.41409375
transcript.pyannote[552].end 5271.57846875
transcript.pyannote[553].speaker SPEAKER_06
transcript.pyannote[553].start 5272.30409375
transcript.pyannote[553].end 5280.85971875
transcript.pyannote[554].speaker SPEAKER_06
transcript.pyannote[554].start 5281.87221875
transcript.pyannote[554].end 5285.23034375
transcript.pyannote[555].speaker SPEAKER_06
transcript.pyannote[555].start 5285.87159375
transcript.pyannote[555].end 5287.47471875
transcript.pyannote[556].speaker SPEAKER_06
transcript.pyannote[556].start 5287.59284375
transcript.pyannote[556].end 5294.44409375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 5295.01784375
transcript.pyannote[557].end 5310.10409375
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 5310.82971875
transcript.pyannote[558].end 5312.90534375
transcript.pyannote[559].speaker SPEAKER_06
transcript.pyannote[559].start 5313.17534375
transcript.pyannote[559].end 5314.52534375
transcript.pyannote[560].speaker SPEAKER_06
transcript.pyannote[560].start 5315.14971875
transcript.pyannote[560].end 5327.01284375
transcript.pyannote[561].speaker SPEAKER_06
transcript.pyannote[561].start 5327.80596875
transcript.pyannote[561].end 5340.86721875
transcript.pyannote[562].speaker SPEAKER_06
transcript.pyannote[562].start 5342.04846875
transcript.pyannote[562].end 5349.22034375
transcript.pyannote[563].speaker SPEAKER_06
transcript.pyannote[563].start 5349.62534375
transcript.pyannote[563].end 5350.33409375
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 5351.02596875
transcript.pyannote[564].end 5360.22284375
transcript.pyannote[565].speaker SPEAKER_06
transcript.pyannote[565].start 5360.40846875
transcript.pyannote[565].end 5361.15096875
transcript.pyannote[566].speaker SPEAKER_06
transcript.pyannote[566].start 5361.55596875
transcript.pyannote[566].end 5367.24284375
transcript.pyannote[567].speaker SPEAKER_06
transcript.pyannote[567].start 5367.46221875
transcript.pyannote[567].end 5387.02034375
transcript.pyannote[568].speaker SPEAKER_06
transcript.pyannote[568].start 5387.15534375
transcript.pyannote[568].end 5425.74846875
transcript.pyannote[569].speaker SPEAKER_06
transcript.pyannote[569].start 5426.23784375
transcript.pyannote[569].end 5426.65971875
transcript.pyannote[570].speaker SPEAKER_06
transcript.pyannote[570].start 5427.23346875
transcript.pyannote[570].end 5427.97596875
transcript.pyannote[571].speaker SPEAKER_06
transcript.pyannote[571].start 5428.78596875
transcript.pyannote[571].end 5429.89971875
transcript.pyannote[572].speaker SPEAKER_06
transcript.pyannote[572].start 5430.54096875
transcript.pyannote[572].end 5440.46346875
transcript.pyannote[573].speaker SPEAKER_06
transcript.pyannote[573].start 5440.56471875
transcript.pyannote[573].end 5449.50846875
transcript.pyannote[574].speaker SPEAKER_27
transcript.pyannote[574].start 5450.43659375
transcript.pyannote[574].end 5460.96659375
transcript.pyannote[575].speaker SPEAKER_06
transcript.pyannote[575].start 5459.54909375
transcript.pyannote[575].end 5460.93284375
transcript.pyannote[576].speaker SPEAKER_06
transcript.pyannote[576].start 5460.96659375
transcript.pyannote[576].end 5461.70909375
transcript.pyannote[577].speaker SPEAKER_06
transcript.pyannote[577].start 5462.40096875
transcript.pyannote[577].end 5464.45971875
transcript.pyannote[578].speaker SPEAKER_27
transcript.pyannote[578].start 5465.03346875
transcript.pyannote[578].end 5467.42971875
transcript.pyannote[579].speaker SPEAKER_06
transcript.pyannote[579].start 5466.85596875
transcript.pyannote[579].end 5468.03721875
transcript.pyannote[580].speaker SPEAKER_06
transcript.pyannote[580].start 5468.66159375
transcript.pyannote[580].end 5477.38596875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 5478.19596875
transcript.pyannote[581].end 5480.22096875
transcript.pyannote[582].speaker SPEAKER_06
transcript.pyannote[582].start 5480.59221875
transcript.pyannote[582].end 5483.83221875
transcript.pyannote[583].speaker SPEAKER_27
transcript.pyannote[583].start 5484.15284375
transcript.pyannote[583].end 5485.97534375
transcript.pyannote[584].speaker SPEAKER_06
transcript.pyannote[584].start 5485.97534375
transcript.pyannote[584].end 5488.50659375
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 5488.70909375
transcript.pyannote[585].end 5490.75096875
transcript.pyannote[586].speaker SPEAKER_06
transcript.pyannote[586].start 5491.54409375
transcript.pyannote[586].end 5508.38534375
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 5508.80721875
transcript.pyannote[587].end 5510.59596875
transcript.pyannote[588].speaker SPEAKER_06
transcript.pyannote[588].start 5511.32159375
transcript.pyannote[588].end 5512.38471875
transcript.pyannote[589].speaker SPEAKER_06
transcript.pyannote[589].start 5512.68846875
transcript.pyannote[589].end 5514.54471875
transcript.pyannote[590].speaker SPEAKER_06
transcript.pyannote[590].start 5515.06784375
transcript.pyannote[590].end 5515.92846875
transcript.pyannote[591].speaker SPEAKER_06
transcript.pyannote[591].start 5516.78909375
transcript.pyannote[591].end 5518.15596875
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 5518.79721875
transcript.pyannote[592].end 5520.26534375
transcript.pyannote[593].speaker SPEAKER_27
transcript.pyannote[593].start 5521.19346875
transcript.pyannote[593].end 5524.18034375
transcript.pyannote[594].speaker SPEAKER_06
transcript.pyannote[594].start 5525.17596875
transcript.pyannote[594].end 5538.92909375
transcript.pyannote[595].speaker SPEAKER_06
transcript.pyannote[595].start 5539.19909375
transcript.pyannote[595].end 5543.23221875
transcript.pyannote[596].speaker SPEAKER_06
transcript.pyannote[596].start 5543.82284375
transcript.pyannote[596].end 5551.36596875
transcript.pyannote[597].speaker SPEAKER_06
transcript.pyannote[597].start 5551.43346875
transcript.pyannote[597].end 5566.13159375
transcript.pyannote[598].speaker SPEAKER_06
transcript.pyannote[598].start 5566.58721875
transcript.pyannote[598].end 5572.72971875
transcript.pyannote[599].speaker SPEAKER_06
transcript.pyannote[599].start 5573.38784375
transcript.pyannote[599].end 5591.34284375
transcript.pyannote[600].speaker SPEAKER_06
transcript.pyannote[600].start 5592.84471875
transcript.pyannote[600].end 5595.44346875
transcript.pyannote[601].speaker SPEAKER_20
transcript.pyannote[601].start 5593.57034375
transcript.pyannote[601].end 5593.65471875
transcript.pyannote[602].speaker SPEAKER_25
transcript.pyannote[602].start 5593.65471875
transcript.pyannote[602].end 5593.94159375
transcript.pyannote[603].speaker SPEAKER_20
transcript.pyannote[603].start 5593.94159375
transcript.pyannote[603].end 5593.95846875
transcript.pyannote[604].speaker SPEAKER_25
transcript.pyannote[604].start 5593.95846875
transcript.pyannote[604].end 5593.97534375
transcript.pyannote[605].speaker SPEAKER_20
transcript.pyannote[605].start 5593.97534375
transcript.pyannote[605].end 5594.51534375
transcript.pyannote[606].speaker SPEAKER_26
transcript.pyannote[606].start 5594.51534375
transcript.pyannote[606].end 5595.02159375
transcript.pyannote[607].speaker SPEAKER_20
transcript.pyannote[607].start 5595.02159375
transcript.pyannote[607].end 5595.07221875
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 5596.48971875
transcript.pyannote[608].end 5598.86909375
transcript.pyannote[609].speaker SPEAKER_06
transcript.pyannote[609].start 5599.62846875
transcript.pyannote[609].end 5603.03721875
transcript.pyannote[610].speaker SPEAKER_06
transcript.pyannote[610].start 5603.29034375
transcript.pyannote[610].end 5604.08346875
transcript.pyannote[611].speaker SPEAKER_27
transcript.pyannote[611].start 5604.08346875
transcript.pyannote[611].end 5604.97784375
transcript.pyannote[612].speaker SPEAKER_06
transcript.pyannote[612].start 5615.81159375
transcript.pyannote[612].end 5618.86596875
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 5619.27096875
transcript.pyannote[613].end 5621.17784375
transcript.pyannote[614].speaker SPEAKER_06
transcript.pyannote[614].start 5621.51534375
transcript.pyannote[614].end 5622.35909375
transcript.pyannote[615].speaker SPEAKER_12
transcript.pyannote[615].start 5628.19784375
transcript.pyannote[615].end 5630.67846875
transcript.pyannote[616].speaker SPEAKER_12
transcript.pyannote[616].start 5631.33659375
transcript.pyannote[616].end 5633.69909375
transcript.pyannote[617].speaker SPEAKER_12
transcript.pyannote[617].start 5643.65534375
transcript.pyannote[617].end 5643.70596875
transcript.pyannote[618].speaker SPEAKER_27
transcript.pyannote[618].start 5643.70596875
transcript.pyannote[618].end 5644.04346875
transcript.pyannote[619].speaker SPEAKER_12
transcript.pyannote[619].start 5644.04346875
transcript.pyannote[619].end 5644.06034375
transcript.pyannote[620].speaker SPEAKER_12
transcript.pyannote[620].start 5644.26284375
transcript.pyannote[620].end 5647.14846875
transcript.pyannote[621].speaker SPEAKER_12
transcript.pyannote[621].start 5648.02596875
transcript.pyannote[621].end 5650.01721875
transcript.pyannote[622].speaker SPEAKER_12
transcript.pyannote[622].start 5650.37159375
transcript.pyannote[622].end 5650.72596875
transcript.pyannote[623].speaker SPEAKER_12
transcript.pyannote[623].start 5651.33346875
transcript.pyannote[623].end 5652.86909375
transcript.pyannote[624].speaker SPEAKER_27
transcript.pyannote[624].start 5654.10096875
transcript.pyannote[624].end 5656.80096875
transcript.pyannote[625].speaker SPEAKER_12
transcript.pyannote[625].start 5656.80096875
transcript.pyannote[625].end 5658.85971875
transcript.pyannote[626].speaker SPEAKER_27
transcript.pyannote[626].start 5658.85971875
transcript.pyannote[626].end 5659.23096875
transcript.pyannote[627].speaker SPEAKER_12
transcript.pyannote[627].start 5659.23096875
transcript.pyannote[627].end 5661.79596875
transcript.pyannote[628].speaker SPEAKER_12
transcript.pyannote[628].start 5662.70721875
transcript.pyannote[628].end 5664.86721875
transcript.pyannote[629].speaker SPEAKER_12
transcript.pyannote[629].start 5665.33971875
transcript.pyannote[629].end 5669.11971875
transcript.pyannote[630].speaker SPEAKER_12
transcript.pyannote[630].start 5669.86221875
transcript.pyannote[630].end 5672.41034375
transcript.pyannote[631].speaker SPEAKER_12
transcript.pyannote[631].start 5673.23721875
transcript.pyannote[631].end 5675.76846875
transcript.pyannote[632].speaker SPEAKER_12
transcript.pyannote[632].start 5677.35471875
transcript.pyannote[632].end 5678.62034375
transcript.pyannote[633].speaker SPEAKER_12
transcript.pyannote[633].start 5679.19409375
transcript.pyannote[633].end 5680.49346875
transcript.pyannote[634].speaker SPEAKER_12
transcript.pyannote[634].start 5680.51034375
transcript.pyannote[634].end 5681.20221875
transcript.pyannote[635].speaker SPEAKER_12
transcript.pyannote[635].start 5682.16409375
transcript.pyannote[635].end 5683.29471875
transcript.pyannote[636].speaker SPEAKER_12
transcript.pyannote[636].start 5684.22284375
transcript.pyannote[636].end 5685.45471875
transcript.pyannote[637].speaker SPEAKER_12
transcript.pyannote[637].start 5686.36596875
transcript.pyannote[637].end 5690.61846875
transcript.pyannote[638].speaker SPEAKER_12
transcript.pyannote[638].start 5690.95596875
transcript.pyannote[638].end 5692.35659375
transcript.pyannote[639].speaker SPEAKER_12
transcript.pyannote[639].start 5692.87971875
transcript.pyannote[639].end 5693.94284375
transcript.pyannote[640].speaker SPEAKER_12
transcript.pyannote[640].start 5694.17909375
transcript.pyannote[640].end 5695.79909375
transcript.pyannote[641].speaker SPEAKER_12
transcript.pyannote[641].start 5696.42346875
transcript.pyannote[641].end 5698.93784375
transcript.pyannote[642].speaker SPEAKER_12
transcript.pyannote[642].start 5699.02221875
transcript.pyannote[642].end 5700.42284375
transcript.pyannote[643].speaker SPEAKER_12
transcript.pyannote[643].start 5701.36784375
transcript.pyannote[643].end 5703.89909375
transcript.pyannote[644].speaker SPEAKER_12
transcript.pyannote[644].start 5705.92409375
transcript.pyannote[644].end 5709.29909375
transcript.pyannote[645].speaker SPEAKER_12
transcript.pyannote[645].start 5709.68721875
transcript.pyannote[645].end 5713.29846875
transcript.pyannote[646].speaker SPEAKER_12
transcript.pyannote[646].start 5714.78346875
transcript.pyannote[646].end 5716.69034375
transcript.pyannote[647].speaker SPEAKER_12
transcript.pyannote[647].start 5717.31471875
transcript.pyannote[647].end 5720.97659375
transcript.pyannote[648].speaker SPEAKER_12
transcript.pyannote[648].start 5721.43221875
transcript.pyannote[648].end 5722.78221875
transcript.pyannote[649].speaker SPEAKER_12
transcript.pyannote[649].start 5723.20409375
transcript.pyannote[649].end 5724.94221875
transcript.pyannote[650].speaker SPEAKER_12
transcript.pyannote[650].start 5725.39784375
transcript.pyannote[650].end 5726.03909375
transcript.pyannote[651].speaker SPEAKER_12
transcript.pyannote[651].start 5726.20784375
transcript.pyannote[651].end 5728.21596875
transcript.pyannote[652].speaker SPEAKER_12
transcript.pyannote[652].start 5729.34659375
transcript.pyannote[652].end 5731.27034375
transcript.pyannote[653].speaker SPEAKER_12
transcript.pyannote[653].start 5731.82721875
transcript.pyannote[653].end 5733.95346875
transcript.pyannote[654].speaker SPEAKER_12
transcript.pyannote[654].start 5734.66221875
transcript.pyannote[654].end 5736.56909375
transcript.pyannote[655].speaker SPEAKER_12
transcript.pyannote[655].start 5737.12596875
transcript.pyannote[655].end 5737.86846875
transcript.pyannote[656].speaker SPEAKER_12
transcript.pyannote[656].start 5738.96534375
transcript.pyannote[656].end 5740.04534375
transcript.pyannote[657].speaker SPEAKER_12
transcript.pyannote[657].start 5740.38284375
transcript.pyannote[657].end 5742.01971875
transcript.pyannote[658].speaker SPEAKER_12
transcript.pyannote[658].start 5742.96471875
transcript.pyannote[658].end 5745.59721875
transcript.pyannote[659].speaker SPEAKER_12
transcript.pyannote[659].start 5746.06971875
transcript.pyannote[659].end 5748.97221875
transcript.pyannote[660].speaker SPEAKER_12
transcript.pyannote[660].start 5749.61346875
transcript.pyannote[660].end 5750.05221875
transcript.pyannote[661].speaker SPEAKER_12
transcript.pyannote[661].start 5751.48659375
transcript.pyannote[661].end 5753.24159375
transcript.pyannote[662].speaker SPEAKER_12
transcript.pyannote[662].start 5753.42721875
transcript.pyannote[662].end 5754.91221875
transcript.pyannote[663].speaker SPEAKER_12
transcript.pyannote[663].start 5755.33409375
transcript.pyannote[663].end 5757.39284375
transcript.pyannote[664].speaker SPEAKER_12
transcript.pyannote[664].start 5757.86534375
transcript.pyannote[664].end 5758.97909375
transcript.pyannote[665].speaker SPEAKER_12
transcript.pyannote[665].start 5760.88596875
transcript.pyannote[665].end 5763.11346875
transcript.pyannote[666].speaker SPEAKER_12
transcript.pyannote[666].start 5763.97409375
transcript.pyannote[666].end 5767.31534375
transcript.pyannote[667].speaker SPEAKER_27
transcript.pyannote[667].start 5768.26034375
transcript.pyannote[667].end 5769.84659375
transcript.pyannote[668].speaker SPEAKER_12
transcript.pyannote[668].start 5769.88034375
transcript.pyannote[668].end 5771.53409375
transcript.pyannote[669].speaker SPEAKER_27
transcript.pyannote[669].start 5772.29346875
transcript.pyannote[669].end 5774.52096875
transcript.pyannote[670].speaker SPEAKER_12
transcript.pyannote[670].start 5775.78659375
transcript.pyannote[670].end 5777.60909375
transcript.pyannote[671].speaker SPEAKER_27
transcript.pyannote[671].start 5777.99721875
transcript.pyannote[671].end 5781.03471875
transcript.pyannote[672].speaker SPEAKER_27
transcript.pyannote[672].start 5781.05159375
transcript.pyannote[672].end 5785.18596875
transcript.pyannote[673].speaker SPEAKER_27
transcript.pyannote[673].start 5785.27034375
transcript.pyannote[673].end 5789.72534375
transcript.pyannote[674].speaker SPEAKER_12
transcript.pyannote[674].start 5789.97846875
transcript.pyannote[674].end 5792.86409375
transcript.pyannote[675].speaker SPEAKER_27
transcript.pyannote[675].start 5793.52221875
transcript.pyannote[675].end 5794.02846875
transcript.pyannote[676].speaker SPEAKER_12
transcript.pyannote[676].start 5794.39971875
transcript.pyannote[676].end 5794.80471875
transcript.pyannote[677].speaker SPEAKER_27
transcript.pyannote[677].start 5795.22659375
transcript.pyannote[677].end 5796.49221875
transcript.pyannote[678].speaker SPEAKER_12
transcript.pyannote[678].start 5796.49221875
transcript.pyannote[678].end 5799.68159375
transcript.pyannote[679].speaker SPEAKER_12
transcript.pyannote[679].start 5801.04846875
transcript.pyannote[679].end 5803.83284375
transcript.pyannote[680].speaker SPEAKER_12
transcript.pyannote[680].start 5804.10284375
transcript.pyannote[680].end 5805.75659375
transcript.pyannote[681].speaker SPEAKER_12
transcript.pyannote[681].start 5806.04346875
transcript.pyannote[681].end 5807.56221875
transcript.pyannote[682].speaker SPEAKER_12
transcript.pyannote[682].start 5808.06846875
transcript.pyannote[682].end 5809.30034375
transcript.pyannote[683].speaker SPEAKER_12
transcript.pyannote[683].start 5810.16096875
transcript.pyannote[683].end 5811.32534375
transcript.pyannote[684].speaker SPEAKER_12
transcript.pyannote[684].start 5812.33784375
transcript.pyannote[684].end 5814.78471875
transcript.pyannote[685].speaker SPEAKER_12
transcript.pyannote[685].start 5815.84784375
transcript.pyannote[685].end 5817.19784375
transcript.pyannote[686].speaker SPEAKER_12
transcript.pyannote[686].start 5817.73784375
transcript.pyannote[686].end 5818.49721875
transcript.pyannote[687].speaker SPEAKER_12
transcript.pyannote[687].start 5819.25659375
transcript.pyannote[687].end 5821.60221875
transcript.pyannote[688].speaker SPEAKER_12
transcript.pyannote[688].start 5822.24346875
transcript.pyannote[688].end 5823.05346875
transcript.pyannote[689].speaker SPEAKER_12
transcript.pyannote[689].start 5823.30659375
transcript.pyannote[689].end 5825.01096875
transcript.pyannote[690].speaker SPEAKER_27
transcript.pyannote[690].start 5826.07409375
transcript.pyannote[690].end 5826.36096875
transcript.pyannote[691].speaker SPEAKER_27
transcript.pyannote[691].start 5826.44534375
transcript.pyannote[691].end 5827.77846875
transcript.pyannote[692].speaker SPEAKER_12
transcript.pyannote[692].start 5827.77846875
transcript.pyannote[692].end 5828.74034375
transcript.pyannote[693].speaker SPEAKER_27
transcript.pyannote[693].start 5831.50784375
transcript.pyannote[693].end 5835.08534375
transcript.pyannote[694].speaker SPEAKER_12
transcript.pyannote[694].start 5835.97971875
transcript.pyannote[694].end 5838.24096875
transcript.pyannote[695].speaker SPEAKER_27
transcript.pyannote[695].start 5838.57846875
transcript.pyannote[695].end 5838.93284375
transcript.pyannote[696].speaker SPEAKER_12
transcript.pyannote[696].start 5840.31659375
transcript.pyannote[696].end 5842.81409375
transcript.pyannote[697].speaker SPEAKER_12
transcript.pyannote[697].start 5843.25284375
transcript.pyannote[697].end 5844.09659375
transcript.pyannote[698].speaker SPEAKER_12
transcript.pyannote[698].start 5844.26534375
transcript.pyannote[698].end 5845.56471875
transcript.pyannote[699].speaker SPEAKER_12
transcript.pyannote[699].start 5846.22284375
transcript.pyannote[699].end 5847.38721875
transcript.pyannote[700].speaker SPEAKER_12
transcript.pyannote[700].start 5849.39534375
transcript.pyannote[700].end 5850.34034375
transcript.pyannote[701].speaker SPEAKER_12
transcript.pyannote[701].start 5851.33596875
transcript.pyannote[701].end 5852.44971875
transcript.pyannote[702].speaker SPEAKER_12
transcript.pyannote[702].start 5852.55096875
transcript.pyannote[702].end 5854.22159375
transcript.pyannote[703].speaker SPEAKER_12
transcript.pyannote[703].start 5855.33534375
transcript.pyannote[703].end 5855.87534375
transcript.pyannote[704].speaker SPEAKER_12
transcript.pyannote[704].start 5857.25909375
transcript.pyannote[704].end 5861.78159375
transcript.pyannote[705].speaker SPEAKER_12
transcript.pyannote[705].start 5862.40596875
transcript.pyannote[705].end 5865.64596875
transcript.pyannote[706].speaker SPEAKER_12
transcript.pyannote[706].start 5865.78096875
transcript.pyannote[706].end 5865.79784375
transcript.pyannote[707].speaker SPEAKER_27
transcript.pyannote[707].start 5865.79784375
transcript.pyannote[707].end 5866.20284375
transcript.pyannote[708].speaker SPEAKER_12
transcript.pyannote[708].start 5866.20284375
transcript.pyannote[708].end 5866.28721875
transcript.pyannote[709].speaker SPEAKER_12
transcript.pyannote[709].start 5866.84409375
transcript.pyannote[709].end 5868.53159375
transcript.pyannote[710].speaker SPEAKER_27
transcript.pyannote[710].start 5869.61159375
transcript.pyannote[710].end 5870.87721875
transcript.pyannote[711].speaker SPEAKER_27
transcript.pyannote[711].start 5871.88971875
transcript.pyannote[711].end 5875.38284375
transcript.pyannote[712].speaker SPEAKER_12
transcript.pyannote[712].start 5874.72471875
transcript.pyannote[712].end 5875.58534375
transcript.pyannote[713].speaker SPEAKER_27
transcript.pyannote[713].start 5875.97346875
transcript.pyannote[713].end 5880.17534375
transcript.pyannote[714].speaker SPEAKER_12
transcript.pyannote[714].start 5879.38221875
transcript.pyannote[714].end 5880.44534375
transcript.pyannote[715].speaker SPEAKER_12
transcript.pyannote[715].start 5881.08659375
transcript.pyannote[715].end 5881.89659375
transcript.pyannote[716].speaker SPEAKER_27
transcript.pyannote[716].start 5881.17096875
transcript.pyannote[716].end 5881.37346875
transcript.pyannote[717].speaker SPEAKER_27
transcript.pyannote[717].start 5882.06534375
transcript.pyannote[717].end 5882.62221875
transcript.pyannote[718].speaker SPEAKER_12
transcript.pyannote[718].start 5882.99346875
transcript.pyannote[718].end 5883.39846875
transcript.pyannote[719].speaker SPEAKER_12
transcript.pyannote[719].start 5883.56721875
transcript.pyannote[719].end 5883.71909375
transcript.pyannote[720].speaker SPEAKER_27
transcript.pyannote[720].start 5883.71909375
transcript.pyannote[720].end 5883.87096875
transcript.pyannote[721].speaker SPEAKER_12
transcript.pyannote[721].start 5883.87096875
transcript.pyannote[721].end 5883.97221875
transcript.pyannote[722].speaker SPEAKER_27
transcript.pyannote[722].start 5883.97221875
transcript.pyannote[722].end 5884.37721875
transcript.pyannote[723].speaker SPEAKER_12
transcript.pyannote[723].start 5884.15784375
transcript.pyannote[723].end 5885.62596875
transcript.pyannote[724].speaker SPEAKER_12
transcript.pyannote[724].start 5886.36846875
transcript.pyannote[724].end 5887.71846875
transcript.pyannote[725].speaker SPEAKER_12
transcript.pyannote[725].start 5888.66346875
transcript.pyannote[725].end 5889.43971875
transcript.pyannote[726].speaker SPEAKER_12
transcript.pyannote[726].start 5889.74346875
transcript.pyannote[726].end 5891.29596875
transcript.pyannote[727].speaker SPEAKER_27
transcript.pyannote[727].start 5891.78534375
transcript.pyannote[727].end 5892.17346875
transcript.pyannote[728].speaker SPEAKER_12
transcript.pyannote[728].start 5892.47721875
transcript.pyannote[728].end 5893.42221875
transcript.pyannote[729].speaker SPEAKER_12
transcript.pyannote[729].start 5896.79721875
transcript.pyannote[729].end 5899.37909375
transcript.pyannote[730].speaker SPEAKER_12
transcript.pyannote[730].start 5899.69971875
transcript.pyannote[730].end 5902.06221875
transcript.pyannote[731].speaker SPEAKER_12
transcript.pyannote[731].start 5902.36596875
transcript.pyannote[731].end 5904.89721875
transcript.pyannote[732].speaker SPEAKER_12
transcript.pyannote[732].start 5905.84221875
transcript.pyannote[732].end 5906.19659375
transcript.pyannote[733].speaker SPEAKER_12
transcript.pyannote[733].start 5907.69846875
transcript.pyannote[733].end 5908.76159375
transcript.pyannote[734].speaker SPEAKER_12
transcript.pyannote[734].start 5909.48721875
transcript.pyannote[734].end 5910.63471875
transcript.pyannote[735].speaker SPEAKER_12
transcript.pyannote[735].start 5911.79909375
transcript.pyannote[735].end 5913.08159375
transcript.pyannote[736].speaker SPEAKER_27
transcript.pyannote[736].start 5914.02659375
transcript.pyannote[736].end 5915.81534375
transcript.pyannote[737].speaker SPEAKER_12
transcript.pyannote[737].start 5915.41034375
transcript.pyannote[737].end 5918.21159375
transcript.pyannote[738].speaker SPEAKER_12
transcript.pyannote[738].start 5918.98784375
transcript.pyannote[738].end 5923.61159375
transcript.pyannote[739].speaker SPEAKER_12
transcript.pyannote[739].start 5924.28659375
transcript.pyannote[739].end 5924.82659375
transcript.pyannote[740].speaker SPEAKER_12
transcript.pyannote[740].start 5926.71659375
transcript.pyannote[740].end 5928.35346875
transcript.pyannote[741].speaker SPEAKER_12
transcript.pyannote[741].start 5929.95659375
transcript.pyannote[741].end 5930.81721875
transcript.pyannote[742].speaker SPEAKER_27
transcript.pyannote[742].start 5932.63971875
transcript.pyannote[742].end 5934.09096875
transcript.pyannote[743].speaker SPEAKER_27
transcript.pyannote[743].start 5934.61409375
transcript.pyannote[743].end 5936.95971875
transcript.pyannote[744].speaker SPEAKER_12
transcript.pyannote[744].start 5936.95971875
transcript.pyannote[744].end 5938.07346875
transcript.pyannote[745].speaker SPEAKER_12
transcript.pyannote[745].start 5938.49534375
transcript.pyannote[745].end 5939.57534375
transcript.pyannote[746].speaker SPEAKER_12
transcript.pyannote[746].start 5940.13221875
transcript.pyannote[746].end 5942.73096875
transcript.pyannote[747].speaker SPEAKER_27
transcript.pyannote[747].start 5942.95034375
transcript.pyannote[747].end 5947.59096875
transcript.pyannote[748].speaker SPEAKER_12
transcript.pyannote[748].start 5943.49034375
transcript.pyannote[748].end 5944.04721875
transcript.pyannote[749].speaker SPEAKER_12
transcript.pyannote[749].start 5947.21971875
transcript.pyannote[749].end 5950.32471875
transcript.pyannote[750].speaker SPEAKER_12
transcript.pyannote[750].start 5951.55659375
transcript.pyannote[750].end 5952.58596875
transcript.pyannote[751].speaker SPEAKER_12
transcript.pyannote[751].start 5953.66596875
transcript.pyannote[751].end 5954.45909375
transcript.pyannote[752].speaker SPEAKER_27
transcript.pyannote[752].start 5955.64034375
transcript.pyannote[752].end 5956.23096875
transcript.pyannote[753].speaker SPEAKER_12
transcript.pyannote[753].start 5956.02846875
transcript.pyannote[753].end 5959.74096875
transcript.pyannote[754].speaker SPEAKER_12
transcript.pyannote[754].start 5960.48346875
transcript.pyannote[754].end 5961.85034375
transcript.pyannote[755].speaker SPEAKER_12
transcript.pyannote[755].start 5962.35659375
transcript.pyannote[755].end 5964.87096875
transcript.pyannote[756].speaker SPEAKER_12
transcript.pyannote[756].start 5964.97221875
transcript.pyannote[756].end 5968.60034375
transcript.pyannote[757].speaker SPEAKER_12
transcript.pyannote[757].start 5968.93784375
transcript.pyannote[757].end 5970.13596875
transcript.pyannote[758].speaker SPEAKER_12
transcript.pyannote[758].start 5970.23721875
transcript.pyannote[758].end 5971.01346875
transcript.pyannote[759].speaker SPEAKER_12
transcript.pyannote[759].start 5972.24534375
transcript.pyannote[759].end 5973.30846875
transcript.pyannote[760].speaker SPEAKER_27
transcript.pyannote[760].start 5975.35034375
transcript.pyannote[760].end 5975.68784375
transcript.pyannote[761].speaker SPEAKER_12
transcript.pyannote[761].start 5977.67909375
transcript.pyannote[761].end 5980.27784375
transcript.pyannote[762].speaker SPEAKER_12
transcript.pyannote[762].start 5981.35784375
transcript.pyannote[762].end 5982.85971875
transcript.pyannote[763].speaker SPEAKER_12
transcript.pyannote[763].start 5985.42471875
transcript.pyannote[763].end 5987.85471875
transcript.pyannote[764].speaker SPEAKER_12
transcript.pyannote[764].start 5989.27221875
transcript.pyannote[764].end 5990.99346875
transcript.pyannote[765].speaker SPEAKER_12
transcript.pyannote[765].start 5993.10284375
transcript.pyannote[765].end 5995.27971875
transcript.pyannote[766].speaker SPEAKER_12
transcript.pyannote[766].start 5995.83659375
transcript.pyannote[766].end 5998.16534375
transcript.pyannote[767].speaker SPEAKER_12
transcript.pyannote[767].start 5998.46909375
transcript.pyannote[767].end 6000.00471875
transcript.pyannote[768].speaker SPEAKER_12
transcript.pyannote[768].start 6000.46034375
transcript.pyannote[768].end 6003.04221875
transcript.pyannote[769].speaker SPEAKER_12
transcript.pyannote[769].start 6004.05471875
transcript.pyannote[769].end 6006.01221875
transcript.pyannote[770].speaker SPEAKER_12
transcript.pyannote[770].start 6006.70409375
transcript.pyannote[770].end 6007.78409375
transcript.pyannote[771].speaker SPEAKER_12
transcript.pyannote[771].start 6009.03284375
transcript.pyannote[771].end 6010.12971875
transcript.pyannote[772].speaker SPEAKER_12
transcript.pyannote[772].start 6010.92284375
transcript.pyannote[772].end 6013.01534375
transcript.pyannote[773].speaker SPEAKER_12
transcript.pyannote[773].start 6013.13346875
transcript.pyannote[773].end 6016.57596875
transcript.pyannote[774].speaker SPEAKER_12
transcript.pyannote[774].start 6017.60534375
transcript.pyannote[774].end 6018.36471875
transcript.pyannote[775].speaker SPEAKER_12
transcript.pyannote[775].start 6018.70221875
transcript.pyannote[775].end 6019.47846875
transcript.pyannote[776].speaker SPEAKER_12
transcript.pyannote[776].start 6020.50784375
transcript.pyannote[776].end 6022.22909375
transcript.pyannote[777].speaker SPEAKER_12
transcript.pyannote[777].start 6022.93784375
transcript.pyannote[777].end 6025.60409375
transcript.pyannote[778].speaker SPEAKER_12
transcript.pyannote[778].start 6025.67159375
transcript.pyannote[778].end 6027.10596875
transcript.pyannote[779].speaker SPEAKER_12
transcript.pyannote[779].start 6028.10159375
transcript.pyannote[779].end 6031.32471875
transcript.pyannote[780].speaker SPEAKER_12
transcript.pyannote[780].start 6031.81409375
transcript.pyannote[780].end 6035.30721875
transcript.pyannote[781].speaker SPEAKER_12
transcript.pyannote[781].start 6035.98221875
transcript.pyannote[781].end 6040.20096875
transcript.pyannote[782].speaker SPEAKER_12
transcript.pyannote[782].start 6040.77471875
transcript.pyannote[782].end 6042.42846875
transcript.pyannote[783].speaker SPEAKER_12
transcript.pyannote[783].start 6044.82471875
transcript.pyannote[783].end 6045.31409375
transcript.pyannote[784].speaker SPEAKER_12
transcript.pyannote[784].start 6045.58409375
transcript.pyannote[784].end 6046.74846875
transcript.pyannote[785].speaker SPEAKER_12
transcript.pyannote[785].start 6047.15346875
transcript.pyannote[785].end 6047.55846875
transcript.pyannote[786].speaker SPEAKER_12
transcript.pyannote[786].start 6047.87909375
transcript.pyannote[786].end 6049.29659375
transcript.pyannote[787].speaker SPEAKER_12
transcript.pyannote[787].start 6050.46096875
transcript.pyannote[787].end 6052.19909375
transcript.pyannote[788].speaker SPEAKER_12
transcript.pyannote[788].start 6053.38034375
transcript.pyannote[788].end 6056.58659375
transcript.pyannote[789].speaker SPEAKER_12
transcript.pyannote[789].start 6058.30784375
transcript.pyannote[789].end 6059.74221875
transcript.pyannote[790].speaker SPEAKER_12
transcript.pyannote[790].start 6060.80534375
transcript.pyannote[790].end 6062.52659375
transcript.pyannote[791].speaker SPEAKER_12
transcript.pyannote[791].start 6063.38721875
transcript.pyannote[791].end 6064.29846875
transcript.pyannote[792].speaker SPEAKER_12
transcript.pyannote[792].start 6064.56846875
transcript.pyannote[792].end 6066.17159375
transcript.pyannote[793].speaker SPEAKER_12
transcript.pyannote[793].start 6066.66096875
transcript.pyannote[793].end 6067.60596875
transcript.pyannote[794].speaker SPEAKER_12
transcript.pyannote[794].start 6068.02784375
transcript.pyannote[794].end 6070.18784375
transcript.pyannote[795].speaker SPEAKER_12
transcript.pyannote[795].start 6070.55909375
transcript.pyannote[795].end 6072.65159375
transcript.pyannote[796].speaker SPEAKER_27
transcript.pyannote[796].start 6072.93846875
transcript.pyannote[796].end 6073.71471875
transcript.pyannote[797].speaker SPEAKER_12
transcript.pyannote[797].start 6074.08596875
transcript.pyannote[797].end 6076.39784375
transcript.pyannote[798].speaker SPEAKER_27
transcript.pyannote[798].start 6076.51596875
transcript.pyannote[798].end 6076.95471875
transcript.pyannote[799].speaker SPEAKER_12
transcript.pyannote[799].start 6077.66346875
transcript.pyannote[799].end 6078.18659375
transcript.pyannote[800].speaker SPEAKER_27
transcript.pyannote[800].start 6078.40596875
transcript.pyannote[800].end 6078.79409375
transcript.pyannote[801].speaker SPEAKER_12
transcript.pyannote[801].start 6080.46471875
transcript.pyannote[801].end 6083.16471875
transcript.pyannote[802].speaker SPEAKER_12
transcript.pyannote[802].start 6083.38409375
transcript.pyannote[802].end 6083.82284375
transcript.pyannote[803].speaker SPEAKER_27
transcript.pyannote[803].start 6084.81846875
transcript.pyannote[803].end 6087.16409375
transcript.pyannote[804].speaker SPEAKER_12
transcript.pyannote[804].start 6090.13409375
transcript.pyannote[804].end 6092.00721875
transcript.pyannote[805].speaker SPEAKER_12
transcript.pyannote[805].start 6093.18846875
transcript.pyannote[805].end 6096.90096875
transcript.pyannote[806].speaker SPEAKER_12
transcript.pyannote[806].start 6097.15409375
transcript.pyannote[806].end 6098.82471875
transcript.pyannote[807].speaker SPEAKER_12
transcript.pyannote[807].start 6099.34784375
transcript.pyannote[807].end 6100.46159375
transcript.pyannote[808].speaker SPEAKER_12
transcript.pyannote[808].start 6101.27159375
transcript.pyannote[808].end 6102.87471875
transcript.pyannote[809].speaker SPEAKER_12
transcript.pyannote[809].start 6103.16159375
transcript.pyannote[809].end 6104.24159375
transcript.pyannote[810].speaker SPEAKER_12
transcript.pyannote[810].start 6105.23721875
transcript.pyannote[810].end 6106.92471875
transcript.pyannote[811].speaker SPEAKER_12
transcript.pyannote[811].start 6107.29596875
transcript.pyannote[811].end 6110.43471875
transcript.pyannote[812].speaker SPEAKER_12
transcript.pyannote[812].start 6111.09284375
transcript.pyannote[812].end 6112.76346875
transcript.pyannote[813].speaker SPEAKER_12
transcript.pyannote[813].start 6113.74221875
transcript.pyannote[813].end 6115.31159375
transcript.pyannote[814].speaker SPEAKER_12
transcript.pyannote[814].start 6115.51409375
transcript.pyannote[814].end 6115.90221875
transcript.pyannote[815].speaker SPEAKER_12
transcript.pyannote[815].start 6116.79659375
transcript.pyannote[815].end 6119.73284375
transcript.pyannote[816].speaker SPEAKER_27
transcript.pyannote[816].start 6119.42909375
transcript.pyannote[816].end 6123.02346875
transcript.pyannote[817].speaker SPEAKER_12
transcript.pyannote[817].start 6122.68596875
transcript.pyannote[817].end 6128.72721875
transcript.pyannote[818].speaker SPEAKER_12
transcript.pyannote[818].start 6129.14909375
transcript.pyannote[818].end 6131.10659375
transcript.pyannote[819].speaker SPEAKER_27
transcript.pyannote[819].start 6130.80284375
transcript.pyannote[819].end 6131.95034375
transcript.pyannote[820].speaker SPEAKER_12
transcript.pyannote[820].start 6132.11909375
transcript.pyannote[820].end 6136.77659375
transcript.pyannote[821].speaker SPEAKER_12
transcript.pyannote[821].start 6137.16471875
transcript.pyannote[821].end 6138.66659375
transcript.pyannote[822].speaker SPEAKER_27
transcript.pyannote[822].start 6137.95784375
transcript.pyannote[822].end 6139.78034375
transcript.pyannote[823].speaker SPEAKER_12
transcript.pyannote[823].start 6139.78034375
transcript.pyannote[823].end 6141.92346875
transcript.pyannote[824].speaker SPEAKER_12
transcript.pyannote[824].start 6142.42971875
transcript.pyannote[824].end 6143.93159375
transcript.pyannote[825].speaker SPEAKER_12
transcript.pyannote[825].start 6145.16346875
transcript.pyannote[825].end 6146.68221875
transcript.pyannote[826].speaker SPEAKER_27
transcript.pyannote[826].start 6147.61034375
transcript.pyannote[826].end 6152.31846875
transcript.pyannote[827].speaker SPEAKER_12
transcript.pyannote[827].start 6152.57159375
transcript.pyannote[827].end 6155.18721875
transcript.pyannote[828].speaker SPEAKER_12
transcript.pyannote[828].start 6155.40659375
transcript.pyannote[828].end 6155.86221875
transcript.pyannote[829].speaker SPEAKER_27
transcript.pyannote[829].start 6156.04784375
transcript.pyannote[829].end 6156.45284375
transcript.pyannote[830].speaker SPEAKER_12
transcript.pyannote[830].start 6157.04346875
transcript.pyannote[830].end 6158.64659375
transcript.pyannote[831].speaker SPEAKER_27
transcript.pyannote[831].start 6158.95034375
transcript.pyannote[831].end 6161.83596875
transcript.pyannote[832].speaker SPEAKER_12
transcript.pyannote[832].start 6162.22409375
transcript.pyannote[832].end 6162.49409375
transcript.pyannote[833].speaker SPEAKER_12
transcript.pyannote[833].start 6163.89471875
transcript.pyannote[833].end 6169.19346875
transcript.pyannote[834].speaker SPEAKER_12
transcript.pyannote[834].start 6169.91909375
transcript.pyannote[834].end 6172.19721875
transcript.pyannote[835].speaker SPEAKER_12
transcript.pyannote[835].start 6172.46721875
transcript.pyannote[835].end 6174.37409375
transcript.pyannote[836].speaker SPEAKER_12
transcript.pyannote[836].start 6174.89721875
transcript.pyannote[836].end 6175.89284375
transcript.pyannote[837].speaker SPEAKER_12
transcript.pyannote[837].start 6176.51721875
transcript.pyannote[837].end 6178.25534375
transcript.pyannote[838].speaker SPEAKER_12
transcript.pyannote[838].start 6178.72784375
transcript.pyannote[838].end 6182.86221875
transcript.pyannote[839].speaker SPEAKER_12
transcript.pyannote[839].start 6183.53721875
transcript.pyannote[839].end 6187.84034375
transcript.pyannote[840].speaker SPEAKER_12
transcript.pyannote[840].start 6187.97534375
transcript.pyannote[840].end 6187.99221875
transcript.pyannote[841].speaker SPEAKER_12
transcript.pyannote[841].start 6188.36346875
transcript.pyannote[841].end 6190.57409375
transcript.pyannote[842].speaker SPEAKER_27
transcript.pyannote[842].start 6189.17346875
transcript.pyannote[842].end 6195.02909375
transcript.pyannote[843].speaker SPEAKER_12
transcript.pyannote[843].start 6195.61971875
transcript.pyannote[843].end 6198.45471875
transcript.pyannote[844].speaker SPEAKER_27
transcript.pyannote[844].start 6198.55596875
transcript.pyannote[844].end 6199.73721875
transcript.pyannote[845].speaker SPEAKER_12
transcript.pyannote[845].start 6200.37846875
transcript.pyannote[845].end 6202.97721875
transcript.pyannote[846].speaker SPEAKER_27
transcript.pyannote[846].start 6203.33159375
transcript.pyannote[846].end 6209.44034375
transcript.pyannote[847].speaker SPEAKER_12
transcript.pyannote[847].start 6209.96346875
transcript.pyannote[847].end 6211.09409375
transcript.pyannote[848].speaker SPEAKER_27
transcript.pyannote[848].start 6211.12784375
transcript.pyannote[848].end 6211.78596875
transcript.pyannote[849].speaker SPEAKER_12
transcript.pyannote[849].start 6212.35971875
transcript.pyannote[849].end 6215.97096875
transcript.pyannote[850].speaker SPEAKER_27
transcript.pyannote[850].start 6215.97096875
transcript.pyannote[850].end 6216.52784375
transcript.pyannote[851].speaker SPEAKER_12
transcript.pyannote[851].start 6217.30409375
transcript.pyannote[851].end 6219.32909375
transcript.pyannote[852].speaker SPEAKER_12
transcript.pyannote[852].start 6219.63284375
transcript.pyannote[852].end 6221.67471875
transcript.pyannote[853].speaker SPEAKER_12
transcript.pyannote[853].start 6222.41721875
transcript.pyannote[853].end 6223.95284375
transcript.pyannote[854].speaker SPEAKER_12
transcript.pyannote[854].start 6224.79659375
transcript.pyannote[854].end 6227.95221875
transcript.pyannote[855].speaker SPEAKER_12
transcript.pyannote[855].start 6229.21784375
transcript.pyannote[855].end 6230.34846875
transcript.pyannote[856].speaker SPEAKER_12
transcript.pyannote[856].start 6231.27659375
transcript.pyannote[856].end 6232.32284375
transcript.pyannote[857].speaker SPEAKER_12
transcript.pyannote[857].start 6233.06534375
transcript.pyannote[857].end 6237.79034375
transcript.pyannote[858].speaker SPEAKER_12
transcript.pyannote[858].start 6238.60034375
transcript.pyannote[858].end 6240.05159375
transcript.pyannote[859].speaker SPEAKER_12
transcript.pyannote[859].start 6240.72659375
transcript.pyannote[859].end 6243.19034375
transcript.pyannote[860].speaker SPEAKER_12
transcript.pyannote[860].start 6244.18596875
transcript.pyannote[860].end 6246.59909375
transcript.pyannote[861].speaker SPEAKER_12
transcript.pyannote[861].start 6247.24034375
transcript.pyannote[861].end 6248.30346875
transcript.pyannote[862].speaker SPEAKER_12
transcript.pyannote[862].start 6248.64096875
transcript.pyannote[862].end 6249.99096875
transcript.pyannote[863].speaker SPEAKER_12
transcript.pyannote[863].start 6250.64909375
transcript.pyannote[863].end 6251.64471875
transcript.pyannote[864].speaker SPEAKER_12
transcript.pyannote[864].start 6252.20159375
transcript.pyannote[864].end 6254.15909375
transcript.pyannote[865].speaker SPEAKER_12
transcript.pyannote[865].start 6254.88471875
transcript.pyannote[865].end 6258.15846875
transcript.pyannote[866].speaker SPEAKER_12
transcript.pyannote[866].start 6258.63096875
transcript.pyannote[866].end 6262.91721875
transcript.pyannote[867].speaker SPEAKER_20
transcript.pyannote[867].start 6261.70221875
transcript.pyannote[867].end 6261.98909375
transcript.pyannote[868].speaker SPEAKER_20
transcript.pyannote[868].start 6262.91721875
transcript.pyannote[868].end 6263.30534375
transcript.pyannote[869].speaker SPEAKER_12
transcript.pyannote[869].start 6263.30534375
transcript.pyannote[869].end 6265.65096875
transcript.pyannote[870].speaker SPEAKER_12
transcript.pyannote[870].start 6266.46096875
transcript.pyannote[870].end 6268.48596875
transcript.pyannote[871].speaker SPEAKER_12
transcript.pyannote[871].start 6268.94159375
transcript.pyannote[871].end 6269.53221875
transcript.pyannote[872].speaker SPEAKER_12
transcript.pyannote[872].start 6269.80221875
transcript.pyannote[872].end 6273.12659375
transcript.pyannote[873].speaker SPEAKER_12
transcript.pyannote[873].start 6273.75096875
transcript.pyannote[873].end 6275.60721875
transcript.pyannote[874].speaker SPEAKER_12
transcript.pyannote[874].start 6276.02909375
transcript.pyannote[874].end 6277.48034375
transcript.pyannote[875].speaker SPEAKER_12
transcript.pyannote[875].start 6278.18909375
transcript.pyannote[875].end 6283.82534375
transcript.pyannote[876].speaker SPEAKER_12
transcript.pyannote[876].start 6284.16284375
transcript.pyannote[876].end 6285.41159375
transcript.pyannote[877].speaker SPEAKER_12
transcript.pyannote[877].start 6286.39034375
transcript.pyannote[877].end 6287.31846875
transcript.pyannote[878].speaker SPEAKER_12
transcript.pyannote[878].start 6288.04409375
transcript.pyannote[878].end 6288.95534375
transcript.pyannote[879].speaker SPEAKER_12
transcript.pyannote[879].start 6289.34346875
transcript.pyannote[879].end 6292.70159375
transcript.pyannote[880].speaker SPEAKER_27
transcript.pyannote[880].start 6292.92096875
transcript.pyannote[880].end 6293.95034375
transcript.pyannote[881].speaker SPEAKER_12
transcript.pyannote[881].start 6294.05159375
transcript.pyannote[881].end 6295.50284375
transcript.pyannote[882].speaker SPEAKER_12
transcript.pyannote[882].start 6295.89096875
transcript.pyannote[882].end 6297.30846875
transcript.pyannote[883].speaker SPEAKER_12
transcript.pyannote[883].start 6297.52784375
transcript.pyannote[883].end 6299.04659375
transcript.pyannote[884].speaker SPEAKER_12
transcript.pyannote[884].start 6299.58659375
transcript.pyannote[884].end 6302.91096875
transcript.pyannote[885].speaker SPEAKER_12
transcript.pyannote[885].start 6303.28221875
transcript.pyannote[885].end 6304.59846875
transcript.pyannote[886].speaker SPEAKER_12
transcript.pyannote[886].start 6305.13846875
transcript.pyannote[886].end 6307.97346875
transcript.pyannote[887].speaker SPEAKER_12
transcript.pyannote[887].start 6308.51346875
transcript.pyannote[887].end 6309.62721875
transcript.pyannote[888].speaker SPEAKER_27
transcript.pyannote[888].start 6309.62721875
transcript.pyannote[888].end 6311.07846875
transcript.pyannote[889].speaker SPEAKER_12
transcript.pyannote[889].start 6312.04034375
transcript.pyannote[889].end 6315.07784375
transcript.pyannote[890].speaker SPEAKER_12
transcript.pyannote[890].start 6315.80346875
transcript.pyannote[890].end 6319.75221875
transcript.pyannote[891].speaker SPEAKER_12
transcript.pyannote[891].start 6320.19096875
transcript.pyannote[891].end 6321.49034375
transcript.pyannote[892].speaker SPEAKER_12
transcript.pyannote[892].start 6322.01346875
transcript.pyannote[892].end 6323.98784375
transcript.pyannote[893].speaker SPEAKER_12
transcript.pyannote[893].start 6324.47721875
transcript.pyannote[893].end 6327.75096875
transcript.pyannote[894].speaker SPEAKER_00
transcript.pyannote[894].start 6324.57846875
transcript.pyannote[894].end 6325.38846875
transcript.pyannote[895].speaker SPEAKER_12
transcript.pyannote[895].start 6328.76346875
transcript.pyannote[895].end 6332.50971875
transcript.pyannote[896].speaker SPEAKER_12
transcript.pyannote[896].start 6333.11721875
transcript.pyannote[896].end 6334.56846875
transcript.pyannote[897].speaker SPEAKER_12
transcript.pyannote[897].start 6335.41221875
transcript.pyannote[897].end 6338.98971875
transcript.pyannote[898].speaker SPEAKER_12
transcript.pyannote[898].start 6339.20909375
transcript.pyannote[898].end 6341.40284375
transcript.pyannote[899].speaker SPEAKER_12
transcript.pyannote[899].start 6341.90909375
transcript.pyannote[899].end 6344.03534375
transcript.pyannote[900].speaker SPEAKER_05
transcript.pyannote[900].start 6341.92596875
transcript.pyannote[900].end 6342.38159375
transcript.pyannote[901].speaker SPEAKER_12
transcript.pyannote[901].start 6344.79471875
transcript.pyannote[901].end 6346.44846875
transcript.pyannote[902].speaker SPEAKER_12
transcript.pyannote[902].start 6346.98846875
transcript.pyannote[902].end 6348.55784375
transcript.pyannote[903].speaker SPEAKER_12
transcript.pyannote[903].start 6349.31721875
transcript.pyannote[903].end 6349.63784375
transcript.pyannote[904].speaker SPEAKER_12
transcript.pyannote[904].start 6350.24534375
transcript.pyannote[904].end 6354.63284375
transcript.pyannote[905].speaker SPEAKER_12
transcript.pyannote[905].start 6355.27409375
transcript.pyannote[905].end 6357.16409375
transcript.pyannote[906].speaker SPEAKER_12
transcript.pyannote[906].start 6357.34971875
transcript.pyannote[906].end 6358.96971875
transcript.pyannote[907].speaker SPEAKER_12
transcript.pyannote[907].start 6359.71221875
transcript.pyannote[907].end 6362.69909375
transcript.pyannote[908].speaker SPEAKER_12
transcript.pyannote[908].start 6363.47534375
transcript.pyannote[908].end 6365.12909375
transcript.pyannote[909].speaker SPEAKER_12
transcript.pyannote[909].start 6365.87159375
transcript.pyannote[909].end 6366.68159375
transcript.pyannote[910].speaker SPEAKER_27
transcript.pyannote[910].start 6367.49159375
transcript.pyannote[910].end 6368.04846875
transcript.pyannote[911].speaker SPEAKER_12
transcript.pyannote[911].start 6368.30159375
transcript.pyannote[911].end 6370.49534375
transcript.pyannote[912].speaker SPEAKER_12
transcript.pyannote[912].start 6371.23784375
transcript.pyannote[912].end 6373.87034375
transcript.pyannote[913].speaker SPEAKER_12
transcript.pyannote[913].start 6374.39346875
transcript.pyannote[913].end 6379.06784375
transcript.pyannote[914].speaker SPEAKER_12
transcript.pyannote[914].start 6379.64159375
transcript.pyannote[914].end 6382.24034375
transcript.pyannote[915].speaker SPEAKER_12
transcript.pyannote[915].start 6382.94909375
transcript.pyannote[915].end 6383.87721875
transcript.pyannote[916].speaker SPEAKER_12
transcript.pyannote[916].start 6384.83909375
transcript.pyannote[916].end 6386.50971875
transcript.pyannote[917].speaker SPEAKER_12
transcript.pyannote[917].start 6386.84721875
transcript.pyannote[917].end 6389.58096875
transcript.pyannote[918].speaker SPEAKER_12
transcript.pyannote[918].start 6390.15471875
transcript.pyannote[918].end 6393.09096875
transcript.pyannote[919].speaker SPEAKER_12
transcript.pyannote[919].start 6393.58034375
transcript.pyannote[919].end 6395.20034375
transcript.pyannote[920].speaker SPEAKER_12
transcript.pyannote[920].start 6396.12846875
transcript.pyannote[920].end 6399.97596875
transcript.pyannote[921].speaker SPEAKER_06
transcript.pyannote[921].start 6398.59221875
transcript.pyannote[921].end 6399.95909375
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 6399.97596875
transcript.pyannote[922].end 6400.31346875
transcript.pyannote[923].speaker SPEAKER_06
transcript.pyannote[923].start 6400.83659375
transcript.pyannote[923].end 6408.21096875
transcript.pyannote[924].speaker SPEAKER_10
transcript.pyannote[924].start 6417.49221875
transcript.pyannote[924].end 6418.58909375
transcript.pyannote[925].speaker SPEAKER_10
transcript.pyannote[925].start 6418.84221875
transcript.pyannote[925].end 6421.20471875
transcript.pyannote[926].speaker SPEAKER_10
transcript.pyannote[926].start 6421.66034375
transcript.pyannote[926].end 6422.80784375
transcript.pyannote[927].speaker SPEAKER_10
transcript.pyannote[927].start 6428.49471875
transcript.pyannote[927].end 6429.72659375
transcript.pyannote[928].speaker SPEAKER_10
transcript.pyannote[928].start 6430.40159375
transcript.pyannote[928].end 6433.16909375
transcript.pyannote[929].speaker SPEAKER_10
transcript.pyannote[929].start 6433.91159375
transcript.pyannote[929].end 6437.82659375
transcript.pyannote[930].speaker SPEAKER_10
transcript.pyannote[930].start 6438.70409375
transcript.pyannote[930].end 6439.46346875
transcript.pyannote[931].speaker SPEAKER_27
transcript.pyannote[931].start 6439.46346875
transcript.pyannote[931].end 6439.61534375
transcript.pyannote[932].speaker SPEAKER_10
transcript.pyannote[932].start 6439.61534375
transcript.pyannote[932].end 6441.57284375
transcript.pyannote[933].speaker SPEAKER_10
transcript.pyannote[933].start 6442.36596875
transcript.pyannote[933].end 6445.03221875
transcript.pyannote[934].speaker SPEAKER_10
transcript.pyannote[934].start 6445.40346875
transcript.pyannote[934].end 6446.07846875
transcript.pyannote[935].speaker SPEAKER_10
transcript.pyannote[935].start 6446.38221875
transcript.pyannote[935].end 6447.27659375
transcript.pyannote[936].speaker SPEAKER_10
transcript.pyannote[936].start 6448.03596875
transcript.pyannote[936].end 6449.89221875
transcript.pyannote[937].speaker SPEAKER_27
transcript.pyannote[937].start 6449.89221875
transcript.pyannote[937].end 6451.32659375
transcript.pyannote[938].speaker SPEAKER_10
transcript.pyannote[938].start 6452.03534375
transcript.pyannote[938].end 6455.17409375
transcript.pyannote[939].speaker SPEAKER_10
transcript.pyannote[939].start 6455.93346875
transcript.pyannote[939].end 6458.65034375
transcript.pyannote[940].speaker SPEAKER_10
transcript.pyannote[940].start 6459.44346875
transcript.pyannote[940].end 6466.10909375
transcript.pyannote[941].speaker SPEAKER_10
transcript.pyannote[941].start 6466.61534375
transcript.pyannote[941].end 6468.87659375
transcript.pyannote[942].speaker SPEAKER_10
transcript.pyannote[942].start 6470.05784375
transcript.pyannote[942].end 6477.70221875
transcript.pyannote[943].speaker SPEAKER_10
transcript.pyannote[943].start 6478.37721875
transcript.pyannote[943].end 6479.77784375
transcript.pyannote[944].speaker SPEAKER_10
transcript.pyannote[944].start 6480.23346875
transcript.pyannote[944].end 6482.78159375
transcript.pyannote[945].speaker SPEAKER_27
transcript.pyannote[945].start 6483.08534375
transcript.pyannote[945].end 6483.92909375
transcript.pyannote[946].speaker SPEAKER_10
transcript.pyannote[946].start 6483.87846875
transcript.pyannote[946].end 6485.61659375
transcript.pyannote[947].speaker SPEAKER_10
transcript.pyannote[947].start 6486.67971875
transcript.pyannote[947].end 6488.46846875
transcript.pyannote[948].speaker SPEAKER_10
transcript.pyannote[948].start 6488.82284375
transcript.pyannote[948].end 6489.90284375
transcript.pyannote[949].speaker SPEAKER_10
transcript.pyannote[949].start 6490.18971875
transcript.pyannote[949].end 6491.32034375
transcript.pyannote[950].speaker SPEAKER_10
transcript.pyannote[950].start 6491.80971875
transcript.pyannote[950].end 6497.81721875
transcript.pyannote[951].speaker SPEAKER_10
transcript.pyannote[951].start 6498.72846875
transcript.pyannote[951].end 6499.50471875
transcript.pyannote[952].speaker SPEAKER_10
transcript.pyannote[952].start 6499.82534375
transcript.pyannote[952].end 6501.36096875
transcript.pyannote[953].speaker SPEAKER_10
transcript.pyannote[953].start 6502.35659375
transcript.pyannote[953].end 6504.65159375
transcript.pyannote[954].speaker SPEAKER_10
transcript.pyannote[954].start 6505.19159375
transcript.pyannote[954].end 6506.62596875
transcript.pyannote[955].speaker SPEAKER_10
transcript.pyannote[955].start 6506.82846875
transcript.pyannote[955].end 6508.34721875
transcript.pyannote[956].speaker SPEAKER_10
transcript.pyannote[956].start 6509.00534375
transcript.pyannote[956].end 6510.08534375
transcript.pyannote[957].speaker SPEAKER_10
transcript.pyannote[957].start 6511.13159375
transcript.pyannote[957].end 6512.14409375
transcript.pyannote[958].speaker SPEAKER_10
transcript.pyannote[958].start 6512.49846875
transcript.pyannote[958].end 6513.46034375
transcript.pyannote[959].speaker SPEAKER_10
transcript.pyannote[959].start 6513.88221875
transcript.pyannote[959].end 6515.48534375
transcript.pyannote[960].speaker SPEAKER_10
transcript.pyannote[960].start 6515.73846875
transcript.pyannote[960].end 6516.93659375
transcript.pyannote[961].speaker SPEAKER_10
transcript.pyannote[961].start 6517.40909375
transcript.pyannote[961].end 6519.43409375
transcript.pyannote[962].speaker SPEAKER_10
transcript.pyannote[962].start 6519.68721875
transcript.pyannote[962].end 6520.41284375
transcript.pyannote[963].speaker SPEAKER_10
transcript.pyannote[963].start 6521.27346875
transcript.pyannote[963].end 6522.50534375
transcript.pyannote[964].speaker SPEAKER_10
transcript.pyannote[964].start 6522.70784375
transcript.pyannote[964].end 6523.66971875
transcript.pyannote[965].speaker SPEAKER_10
transcript.pyannote[965].start 6524.04096875
transcript.pyannote[965].end 6525.13784375
transcript.pyannote[966].speaker SPEAKER_27
transcript.pyannote[966].start 6525.61034375
transcript.pyannote[966].end 6526.45409375
transcript.pyannote[967].speaker SPEAKER_10
transcript.pyannote[967].start 6526.45409375
transcript.pyannote[967].end 6527.39909375
transcript.pyannote[968].speaker SPEAKER_27
transcript.pyannote[968].start 6526.55534375
transcript.pyannote[968].end 6526.89284375
transcript.pyannote[969].speaker SPEAKER_10
transcript.pyannote[969].start 6528.17534375
transcript.pyannote[969].end 6528.54659375
transcript.pyannote[970].speaker SPEAKER_10
transcript.pyannote[970].start 6529.10346875
transcript.pyannote[970].end 6529.60971875
transcript.pyannote[971].speaker SPEAKER_10
transcript.pyannote[971].start 6530.09909375
transcript.pyannote[971].end 6534.03096875
transcript.pyannote[972].speaker SPEAKER_10
transcript.pyannote[972].start 6534.36846875
transcript.pyannote[972].end 6535.58346875
transcript.pyannote[973].speaker SPEAKER_10
transcript.pyannote[973].start 6535.87034375
transcript.pyannote[973].end 6537.30471875
transcript.pyannote[974].speaker SPEAKER_10
transcript.pyannote[974].start 6538.90784375
transcript.pyannote[974].end 6539.24534375
transcript.pyannote[975].speaker SPEAKER_10
transcript.pyannote[975].start 6539.56596875
transcript.pyannote[975].end 6540.66284375
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 6541.00034375
transcript.pyannote[976].end 6541.21971875
transcript.pyannote[977].speaker SPEAKER_10
transcript.pyannote[977].start 6541.94534375
transcript.pyannote[977].end 6543.24471875
transcript.pyannote[978].speaker SPEAKER_10
transcript.pyannote[978].start 6545.37096875
transcript.pyannote[978].end 6547.17659375
transcript.pyannote[979].speaker SPEAKER_10
transcript.pyannote[979].start 6547.68284375
transcript.pyannote[979].end 6548.03721875
transcript.pyannote[980].speaker SPEAKER_10
transcript.pyannote[980].start 6549.99471875
transcript.pyannote[980].end 6554.78721875
transcript.pyannote[981].speaker SPEAKER_10
transcript.pyannote[981].start 6556.05284375
transcript.pyannote[981].end 6556.74471875
transcript.pyannote[982].speaker SPEAKER_27
transcript.pyannote[982].start 6556.79534375
transcript.pyannote[982].end 6557.97659375
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 6557.97659375
transcript.pyannote[983].end 6560.10284375
transcript.pyannote[984].speaker SPEAKER_10
transcript.pyannote[984].start 6560.74409375
transcript.pyannote[984].end 6563.86596875
transcript.pyannote[985].speaker SPEAKER_10
transcript.pyannote[985].start 6564.65909375
transcript.pyannote[985].end 6565.77284375
transcript.pyannote[986].speaker SPEAKER_27
transcript.pyannote[986].start 6566.31284375
transcript.pyannote[986].end 6567.76409375
transcript.pyannote[987].speaker SPEAKER_10
transcript.pyannote[987].start 6566.83596875
transcript.pyannote[987].end 6566.95409375
transcript.pyannote[988].speaker SPEAKER_10
transcript.pyannote[988].start 6567.76409375
transcript.pyannote[988].end 6569.21534375
transcript.pyannote[989].speaker SPEAKER_10
transcript.pyannote[989].start 6569.60346875
transcript.pyannote[989].end 6572.57346875
transcript.pyannote[990].speaker SPEAKER_10
transcript.pyannote[990].start 6573.50159375
transcript.pyannote[990].end 6574.12596875
transcript.pyannote[991].speaker SPEAKER_10
transcript.pyannote[991].start 6574.58159375
transcript.pyannote[991].end 6575.84721875
transcript.pyannote[992].speaker SPEAKER_10
transcript.pyannote[992].start 6576.72471875
transcript.pyannote[992].end 6580.15034375
transcript.pyannote[993].speaker SPEAKER_27
transcript.pyannote[993].start 6580.18409375
transcript.pyannote[993].end 6581.92221875
transcript.pyannote[994].speaker SPEAKER_10
transcript.pyannote[994].start 6581.33159375
transcript.pyannote[994].end 6581.73659375
transcript.pyannote[995].speaker SPEAKER_10
transcript.pyannote[995].start 6581.92221875
transcript.pyannote[995].end 6583.98096875
transcript.pyannote[996].speaker SPEAKER_10
transcript.pyannote[996].start 6584.50409375
transcript.pyannote[996].end 6588.03096875
transcript.pyannote[997].speaker SPEAKER_10
transcript.pyannote[997].start 6588.67221875
transcript.pyannote[997].end 6589.87034375
transcript.pyannote[998].speaker SPEAKER_27
transcript.pyannote[998].start 6589.19534375
transcript.pyannote[998].end 6589.58346875
transcript.pyannote[999].speaker SPEAKER_27
transcript.pyannote[999].start 6589.83659375
transcript.pyannote[999].end 6589.85346875
transcript.pyannote[1000].speaker SPEAKER_27
transcript.pyannote[1000].start 6589.87034375
transcript.pyannote[1000].end 6590.59596875
transcript.pyannote[1001].speaker SPEAKER_10
transcript.pyannote[1001].start 6591.00096875
transcript.pyannote[1001].end 6592.92471875
transcript.pyannote[1002].speaker SPEAKER_10
transcript.pyannote[1002].start 6593.29596875
transcript.pyannote[1002].end 6594.91596875
transcript.pyannote[1003].speaker SPEAKER_27
transcript.pyannote[1003].start 6595.15221875
transcript.pyannote[1003].end 6599.62409375
transcript.pyannote[1004].speaker SPEAKER_10
transcript.pyannote[1004].start 6599.62409375
transcript.pyannote[1004].end 6601.69971875
transcript.pyannote[1005].speaker SPEAKER_10
transcript.pyannote[1005].start 6602.02034375
transcript.pyannote[1005].end 6602.56034375
transcript.pyannote[1006].speaker SPEAKER_27
transcript.pyannote[1006].start 6602.56034375
transcript.pyannote[1006].end 6602.72909375
transcript.pyannote[1007].speaker SPEAKER_10
transcript.pyannote[1007].start 6602.72909375
transcript.pyannote[1007].end 6604.33221875
transcript.pyannote[1008].speaker SPEAKER_10
transcript.pyannote[1008].start 6604.90596875
transcript.pyannote[1008].end 6605.32784375
transcript.pyannote[1009].speaker SPEAKER_10
transcript.pyannote[1009].start 6605.63159375
transcript.pyannote[1009].end 6608.33159375
transcript.pyannote[1010].speaker SPEAKER_10
transcript.pyannote[1010].start 6608.68596875
transcript.pyannote[1010].end 6619.67159375
transcript.pyannote[1011].speaker SPEAKER_10
transcript.pyannote[1011].start 6620.16096875
transcript.pyannote[1011].end 6625.00409375
transcript.pyannote[1012].speaker SPEAKER_10
transcript.pyannote[1012].start 6625.62846875
transcript.pyannote[1012].end 6627.48471875
transcript.pyannote[1013].speaker SPEAKER_10
transcript.pyannote[1013].start 6627.61971875
transcript.pyannote[1013].end 6628.61534375
transcript.pyannote[1014].speaker SPEAKER_10
transcript.pyannote[1014].start 6629.32409375
transcript.pyannote[1014].end 6634.25159375
transcript.pyannote[1015].speaker SPEAKER_27
transcript.pyannote[1015].start 6635.14596875
transcript.pyannote[1015].end 6635.19659375
transcript.pyannote[1016].speaker SPEAKER_10
transcript.pyannote[1016].start 6635.19659375
transcript.pyannote[1016].end 6635.33159375
transcript.pyannote[1017].speaker SPEAKER_27
transcript.pyannote[1017].start 6635.33159375
transcript.pyannote[1017].end 6635.39909375
transcript.pyannote[1018].speaker SPEAKER_10
transcript.pyannote[1018].start 6635.39909375
transcript.pyannote[1018].end 6635.44971875
transcript.pyannote[1019].speaker SPEAKER_27
transcript.pyannote[1019].start 6635.44971875
transcript.pyannote[1019].end 6635.48346875
transcript.pyannote[1020].speaker SPEAKER_10
transcript.pyannote[1020].start 6635.48346875
transcript.pyannote[1020].end 6635.88846875
transcript.pyannote[1021].speaker SPEAKER_27
transcript.pyannote[1021].start 6635.51721875
transcript.pyannote[1021].end 6635.85471875
transcript.pyannote[1022].speaker SPEAKER_27
transcript.pyannote[1022].start 6635.88846875
transcript.pyannote[1022].end 6635.97284375
transcript.pyannote[1023].speaker SPEAKER_10
transcript.pyannote[1023].start 6635.97284375
transcript.pyannote[1023].end 6638.01471875
transcript.pyannote[1024].speaker SPEAKER_10
transcript.pyannote[1024].start 6638.48721875
transcript.pyannote[1024].end 6643.92096875
transcript.pyannote[1025].speaker SPEAKER_10
transcript.pyannote[1025].start 6644.15721875
transcript.pyannote[1025].end 6646.40159375
transcript.pyannote[1026].speaker SPEAKER_27
transcript.pyannote[1026].start 6646.68846875
transcript.pyannote[1026].end 6647.14409375
transcript.pyannote[1027].speaker SPEAKER_10
transcript.pyannote[1027].start 6647.14409375
transcript.pyannote[1027].end 6651.76784375
transcript.pyannote[1028].speaker SPEAKER_10
transcript.pyannote[1028].start 6652.29096875
transcript.pyannote[1028].end 6653.43846875
transcript.pyannote[1029].speaker SPEAKER_10
transcript.pyannote[1029].start 6654.70409375
transcript.pyannote[1029].end 6657.91034375
transcript.pyannote[1030].speaker SPEAKER_10
transcript.pyannote[1030].start 6658.23096875
transcript.pyannote[1030].end 6666.95534375
transcript.pyannote[1031].speaker SPEAKER_10
transcript.pyannote[1031].start 6667.19159375
transcript.pyannote[1031].end 6673.90784375
transcript.pyannote[1032].speaker SPEAKER_10
transcript.pyannote[1032].start 6674.27909375
transcript.pyannote[1032].end 6676.67534375
transcript.pyannote[1033].speaker SPEAKER_10
transcript.pyannote[1033].start 6678.07596875
transcript.pyannote[1033].end 6678.51471875
transcript.pyannote[1034].speaker SPEAKER_10
transcript.pyannote[1034].start 6679.30784375
transcript.pyannote[1034].end 6682.04159375
transcript.pyannote[1035].speaker SPEAKER_10
transcript.pyannote[1035].start 6682.31159375
transcript.pyannote[1035].end 6685.45034375
transcript.pyannote[1036].speaker SPEAKER_10
transcript.pyannote[1036].start 6685.88909375
transcript.pyannote[1036].end 6686.26034375
transcript.pyannote[1037].speaker SPEAKER_10
transcript.pyannote[1037].start 6686.64846875
transcript.pyannote[1037].end 6687.10409375
transcript.pyannote[1038].speaker SPEAKER_10
transcript.pyannote[1038].start 6687.44159375
transcript.pyannote[1038].end 6687.96471875
transcript.pyannote[1039].speaker SPEAKER_10
transcript.pyannote[1039].start 6688.70721875
transcript.pyannote[1039].end 6690.79971875
transcript.pyannote[1040].speaker SPEAKER_10
transcript.pyannote[1040].start 6691.39034375
transcript.pyannote[1040].end 6694.52909375
transcript.pyannote[1041].speaker SPEAKER_10
transcript.pyannote[1041].start 6694.91721875
transcript.pyannote[1041].end 6695.28846875
transcript.pyannote[1042].speaker SPEAKER_10
transcript.pyannote[1042].start 6695.79471875
transcript.pyannote[1042].end 6696.09846875
transcript.pyannote[1043].speaker SPEAKER_27
transcript.pyannote[1043].start 6696.26721875
transcript.pyannote[1043].end 6698.14034375
transcript.pyannote[1044].speaker SPEAKER_27
transcript.pyannote[1044].start 6698.66346875
transcript.pyannote[1044].end 6701.85284375
transcript.pyannote[1045].speaker SPEAKER_10
transcript.pyannote[1045].start 6701.09346875
transcript.pyannote[1045].end 6707.30346875
transcript.pyannote[1046].speaker SPEAKER_10
transcript.pyannote[1046].start 6707.84346875
transcript.pyannote[1046].end 6713.59784375
transcript.pyannote[1047].speaker SPEAKER_10
transcript.pyannote[1047].start 6714.15471875
transcript.pyannote[1047].end 6725.24159375
transcript.pyannote[1048].speaker SPEAKER_10
transcript.pyannote[1048].start 6725.86596875
transcript.pyannote[1048].end 6729.15659375
transcript.pyannote[1049].speaker SPEAKER_10
transcript.pyannote[1049].start 6729.76409375
transcript.pyannote[1049].end 6731.51909375
transcript.pyannote[1050].speaker SPEAKER_10
transcript.pyannote[1050].start 6732.27846875
transcript.pyannote[1050].end 6737.67846875
transcript.pyannote[1051].speaker SPEAKER_10
transcript.pyannote[1051].start 6738.40409375
transcript.pyannote[1051].end 6740.49659375
transcript.pyannote[1052].speaker SPEAKER_10
transcript.pyannote[1052].start 6741.35721875
transcript.pyannote[1052].end 6743.01096875
transcript.pyannote[1053].speaker SPEAKER_10
transcript.pyannote[1053].start 6743.88846875
transcript.pyannote[1053].end 6745.74471875
transcript.pyannote[1054].speaker SPEAKER_10
transcript.pyannote[1054].start 6745.82909375
transcript.pyannote[1054].end 6745.84596875
transcript.pyannote[1055].speaker SPEAKER_27
transcript.pyannote[1055].start 6745.84596875
transcript.pyannote[1055].end 6746.75721875
transcript.pyannote[1056].speaker SPEAKER_10
transcript.pyannote[1056].start 6746.33534375
transcript.pyannote[1056].end 6746.84159375
transcript.pyannote[1057].speaker SPEAKER_27
transcript.pyannote[1057].start 6746.84159375
transcript.pyannote[1057].end 6746.97659375
transcript.pyannote[1058].speaker SPEAKER_10
transcript.pyannote[1058].start 6746.97659375
transcript.pyannote[1058].end 6747.80346875
transcript.pyannote[1059].speaker SPEAKER_27
transcript.pyannote[1059].start 6747.14534375
transcript.pyannote[1059].end 6748.63034375
transcript.pyannote[1060].speaker SPEAKER_10
transcript.pyannote[1060].start 6748.22534375
transcript.pyannote[1060].end 6753.08534375
transcript.pyannote[1061].speaker SPEAKER_10
transcript.pyannote[1061].start 6753.81096875
transcript.pyannote[1061].end 6756.35909375
transcript.pyannote[1062].speaker SPEAKER_10
transcript.pyannote[1062].start 6756.66284375
transcript.pyannote[1062].end 6759.93659375
transcript.pyannote[1063].speaker SPEAKER_10
transcript.pyannote[1063].start 6760.86471875
transcript.pyannote[1063].end 6762.90659375
transcript.pyannote[1064].speaker SPEAKER_10
transcript.pyannote[1064].start 6763.69971875
transcript.pyannote[1064].end 6764.50971875
transcript.pyannote[1065].speaker SPEAKER_10
transcript.pyannote[1065].start 6765.04971875
transcript.pyannote[1065].end 6766.38284375
transcript.pyannote[1066].speaker SPEAKER_10
transcript.pyannote[1066].start 6766.95659375
transcript.pyannote[1066].end 6767.61471875
transcript.pyannote[1067].speaker SPEAKER_10
transcript.pyannote[1067].start 6768.23909375
transcript.pyannote[1067].end 6770.26409375
transcript.pyannote[1068].speaker SPEAKER_10
transcript.pyannote[1068].start 6771.91784375
transcript.pyannote[1068].end 6772.42409375
transcript.pyannote[1069].speaker SPEAKER_10
transcript.pyannote[1069].start 6773.01471875
transcript.pyannote[1069].end 6773.72346875
transcript.pyannote[1070].speaker SPEAKER_10
transcript.pyannote[1070].start 6775.76534375
transcript.pyannote[1070].end 6777.18284375
transcript.pyannote[1071].speaker SPEAKER_10
transcript.pyannote[1071].start 6778.36409375
transcript.pyannote[1071].end 6778.98846875
transcript.pyannote[1072].speaker SPEAKER_10
transcript.pyannote[1072].start 6781.50284375
transcript.pyannote[1072].end 6784.70909375
transcript.pyannote[1073].speaker SPEAKER_10
transcript.pyannote[1073].start 6785.95784375
transcript.pyannote[1073].end 6789.67034375
transcript.pyannote[1074].speaker SPEAKER_10
transcript.pyannote[1074].start 6789.88971875
transcript.pyannote[1074].end 6791.37471875
transcript.pyannote[1075].speaker SPEAKER_10
transcript.pyannote[1075].start 6792.18471875
transcript.pyannote[1075].end 6794.20971875
transcript.pyannote[1076].speaker SPEAKER_10
transcript.pyannote[1076].start 6794.83409375
transcript.pyannote[1076].end 6797.16284375
transcript.pyannote[1077].speaker SPEAKER_10
transcript.pyannote[1077].start 6797.48346875
transcript.pyannote[1077].end 6805.27971875
transcript.pyannote[1078].speaker SPEAKER_10
transcript.pyannote[1078].start 6806.02221875
transcript.pyannote[1078].end 6808.82346875
transcript.pyannote[1079].speaker SPEAKER_10
transcript.pyannote[1079].start 6809.38034375
transcript.pyannote[1079].end 6811.01721875
transcript.pyannote[1080].speaker SPEAKER_10
transcript.pyannote[1080].start 6812.04659375
transcript.pyannote[1080].end 6813.91971875
transcript.pyannote[1081].speaker SPEAKER_10
transcript.pyannote[1081].start 6814.42596875
transcript.pyannote[1081].end 6815.35409375
transcript.pyannote[1082].speaker SPEAKER_10
transcript.pyannote[1082].start 6815.64096875
transcript.pyannote[1082].end 6816.02909375
transcript.pyannote[1083].speaker SPEAKER_10
transcript.pyannote[1083].start 6816.34971875
transcript.pyannote[1083].end 6818.79659375
transcript.pyannote[1084].speaker SPEAKER_10
transcript.pyannote[1084].start 6819.53909375
transcript.pyannote[1084].end 6821.26034375
transcript.pyannote[1085].speaker SPEAKER_10
transcript.pyannote[1085].start 6822.27284375
transcript.pyannote[1085].end 6823.15034375
transcript.pyannote[1086].speaker SPEAKER_27
transcript.pyannote[1086].start 6823.58909375
transcript.pyannote[1086].end 6840.80159375
transcript.pyannote[1087].speaker SPEAKER_27
transcript.pyannote[1087].start 6840.86909375
transcript.pyannote[1087].end 6851.63534375
transcript.pyannote[1088].speaker SPEAKER_10
transcript.pyannote[1088].start 6852.49596875
transcript.pyannote[1088].end 6853.87971875
transcript.pyannote[1089].speaker SPEAKER_10
transcript.pyannote[1089].start 6854.41971875
transcript.pyannote[1089].end 6856.14096875
transcript.pyannote[1090].speaker SPEAKER_10
transcript.pyannote[1090].start 6856.93409375
transcript.pyannote[1090].end 6858.26721875
transcript.pyannote[1091].speaker SPEAKER_10
transcript.pyannote[1091].start 6858.92534375
transcript.pyannote[1091].end 6862.38471875
transcript.pyannote[1092].speaker SPEAKER_10
transcript.pyannote[1092].start 6863.16096875
transcript.pyannote[1092].end 6867.61596875
transcript.pyannote[1093].speaker SPEAKER_10
transcript.pyannote[1093].start 6867.97034375
transcript.pyannote[1093].end 6869.08409375
transcript.pyannote[1094].speaker SPEAKER_10
transcript.pyannote[1094].start 6869.52284375
transcript.pyannote[1094].end 6872.86409375
transcript.pyannote[1095].speaker SPEAKER_27
transcript.pyannote[1095].start 6873.42096875
transcript.pyannote[1095].end 6875.66534375
transcript.pyannote[1096].speaker SPEAKER_27
transcript.pyannote[1096].start 6875.85096875
transcript.pyannote[1096].end 6881.75721875
transcript.pyannote[1097].speaker SPEAKER_27
transcript.pyannote[1097].start 6882.33096875
transcript.pyannote[1097].end 6886.54971875
transcript.pyannote[1098].speaker SPEAKER_10
transcript.pyannote[1098].start 6887.54534375
transcript.pyannote[1098].end 6890.97096875
transcript.pyannote[1099].speaker SPEAKER_10
transcript.pyannote[1099].start 6891.61221875
transcript.pyannote[1099].end 6896.48909375
transcript.pyannote[1100].speaker SPEAKER_10
transcript.pyannote[1100].start 6896.69159375
transcript.pyannote[1100].end 6897.14721875
transcript.pyannote[1101].speaker SPEAKER_27
transcript.pyannote[1101].start 6897.83909375
transcript.pyannote[1101].end 6898.21034375
transcript.pyannote[1102].speaker SPEAKER_27
transcript.pyannote[1102].start 6899.08784375
transcript.pyannote[1102].end 6904.11659375
transcript.pyannote[1103].speaker SPEAKER_20
transcript.pyannote[1103].start 6903.98159375
transcript.pyannote[1103].end 6904.36971875
transcript.pyannote[1104].speaker SPEAKER_27
transcript.pyannote[1104].start 6904.25159375
transcript.pyannote[1104].end 6924.34971875
transcript.pyannote[1105].speaker SPEAKER_10
transcript.pyannote[1105].start 6925.05846875
transcript.pyannote[1105].end 6928.14659375
transcript.pyannote[1106].speaker SPEAKER_27
transcript.pyannote[1106].start 6928.95659375
transcript.pyannote[1106].end 6932.44971875
transcript.pyannote[1107].speaker SPEAKER_10
transcript.pyannote[1107].start 6932.44971875
transcript.pyannote[1107].end 6933.59721875
transcript.pyannote[1108].speaker SPEAKER_27
transcript.pyannote[1108].start 6933.59721875
transcript.pyannote[1108].end 6933.63096875
transcript.pyannote[1109].speaker SPEAKER_27
transcript.pyannote[1109].start 6933.71534375
transcript.pyannote[1109].end 6934.18784375
transcript.pyannote[1110].speaker SPEAKER_10
transcript.pyannote[1110].start 6934.30596875
transcript.pyannote[1110].end 6934.35659375
transcript.pyannote[1111].speaker SPEAKER_27
transcript.pyannote[1111].start 6934.35659375
transcript.pyannote[1111].end 6934.37346875
transcript.pyannote[1112].speaker SPEAKER_10
transcript.pyannote[1112].start 6934.37346875
transcript.pyannote[1112].end 6934.64346875
transcript.pyannote[1113].speaker SPEAKER_27
transcript.pyannote[1113].start 6934.64346875
transcript.pyannote[1113].end 6934.76159375
transcript.pyannote[1114].speaker SPEAKER_10
transcript.pyannote[1114].start 6934.76159375
transcript.pyannote[1114].end 6934.77846875
transcript.pyannote[1115].speaker SPEAKER_20
transcript.pyannote[1115].start 6935.06534375
transcript.pyannote[1115].end 6936.90471875
transcript.pyannote[1116].speaker SPEAKER_27
transcript.pyannote[1116].start 6937.68096875
transcript.pyannote[1116].end 6937.98471875
transcript.pyannote[1117].speaker SPEAKER_27
transcript.pyannote[1117].start 6938.35596875
transcript.pyannote[1117].end 6942.15284375
transcript.pyannote[1118].speaker SPEAKER_27
transcript.pyannote[1118].start 6942.81096875
transcript.pyannote[1118].end 6950.42159375
transcript.pyannote[1119].speaker SPEAKER_10
transcript.pyannote[1119].start 6950.38784375
transcript.pyannote[1119].end 6953.08784375
transcript.pyannote[1120].speaker SPEAKER_27
transcript.pyannote[1120].start 6953.72909375
transcript.pyannote[1120].end 6954.01596875
transcript.pyannote[1121].speaker SPEAKER_10
transcript.pyannote[1121].start 6954.43784375
transcript.pyannote[1121].end 6957.52596875
transcript.pyannote[1122].speaker SPEAKER_27
transcript.pyannote[1122].start 6957.74534375
transcript.pyannote[1122].end 6963.38159375
transcript.pyannote[1123].speaker SPEAKER_27
transcript.pyannote[1123].start 6963.58409375
transcript.pyannote[1123].end 6969.13596875
transcript.pyannote[1124].speaker SPEAKER_10
transcript.pyannote[1124].start 6969.13596875
transcript.pyannote[1124].end 6971.31284375
transcript.pyannote[1125].speaker SPEAKER_10
transcript.pyannote[1125].start 6972.03846875
transcript.pyannote[1125].end 6973.48971875
transcript.pyannote[1126].speaker SPEAKER_10
transcript.pyannote[1126].start 6974.11409375
transcript.pyannote[1126].end 6975.07596875
transcript.pyannote[1127].speaker SPEAKER_10
transcript.pyannote[1127].start 6975.49784375
transcript.pyannote[1127].end 6977.11784375
transcript.pyannote[1128].speaker SPEAKER_10
transcript.pyannote[1128].start 6977.92784375
transcript.pyannote[1128].end 6978.53534375
transcript.pyannote[1129].speaker SPEAKER_10
transcript.pyannote[1129].start 6979.56471875
transcript.pyannote[1129].end 6980.93159375
transcript.pyannote[1130].speaker SPEAKER_27
transcript.pyannote[1130].start 6982.14659375
transcript.pyannote[1130].end 6982.75409375
transcript.pyannote[1131].speaker SPEAKER_10
transcript.pyannote[1131].start 6982.75409375
transcript.pyannote[1131].end 6984.49221875
transcript.pyannote[1132].speaker SPEAKER_10
transcript.pyannote[1132].start 6985.06596875
transcript.pyannote[1132].end 6985.65659375
transcript.pyannote[1133].speaker SPEAKER_10
transcript.pyannote[1133].start 6985.90971875
transcript.pyannote[1133].end 6986.82096875
transcript.pyannote[1134].speaker SPEAKER_10
transcript.pyannote[1134].start 6987.09096875
transcript.pyannote[1134].end 6989.35221875
transcript.pyannote[1135].speaker SPEAKER_27
transcript.pyannote[1135].start 6990.16221875
transcript.pyannote[1135].end 6993.26721875
transcript.pyannote[1136].speaker SPEAKER_10
transcript.pyannote[1136].start 6993.55409375
transcript.pyannote[1136].end 7005.97409375
transcript.pyannote[1137].speaker SPEAKER_10
transcript.pyannote[1137].start 7006.48034375
transcript.pyannote[1137].end 7007.74596875
transcript.pyannote[1138].speaker SPEAKER_27
transcript.pyannote[1138].start 7008.25221875
transcript.pyannote[1138].end 7016.04846875
transcript.pyannote[1139].speaker SPEAKER_10
transcript.pyannote[1139].start 7011.99846875
transcript.pyannote[1139].end 7012.90971875
transcript.pyannote[1140].speaker SPEAKER_10
transcript.pyannote[1140].start 7016.11596875
transcript.pyannote[1140].end 7017.01034375
transcript.pyannote[1141].speaker SPEAKER_27
transcript.pyannote[1141].start 7016.53784375
transcript.pyannote[1141].end 7017.02721875
transcript.pyannote[1142].speaker SPEAKER_10
transcript.pyannote[1142].start 7017.02721875
transcript.pyannote[1142].end 7017.17909375
transcript.pyannote[1143].speaker SPEAKER_10
transcript.pyannote[1143].start 7017.63471875
transcript.pyannote[1143].end 7020.03096875
transcript.pyannote[1144].speaker SPEAKER_27
transcript.pyannote[1144].start 7019.59221875
transcript.pyannote[1144].end 7019.71034375
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 7019.71034375
transcript.pyannote[1145].end 7019.74409375
transcript.pyannote[1146].speaker SPEAKER_27
transcript.pyannote[1146].start 7019.74409375
transcript.pyannote[1146].end 7019.77784375
transcript.pyannote[1147].speaker SPEAKER_06
transcript.pyannote[1147].start 7019.77784375
transcript.pyannote[1147].end 7019.86221875
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 7020.03096875
transcript.pyannote[1148].end 7035.57284375
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 7037.24346875
transcript.pyannote[1149].end 7040.66909375
transcript.pyannote[1150].speaker SPEAKER_01
transcript.pyannote[1150].start 7045.73159375
transcript.pyannote[1150].end 7048.73534375
transcript.pyannote[1151].speaker SPEAKER_06
transcript.pyannote[1151].start 7049.19096875
transcript.pyannote[1151].end 7050.16971875
transcript.pyannote[1152].speaker SPEAKER_06
transcript.pyannote[1152].start 7055.23221875
transcript.pyannote[1152].end 7055.28284375
transcript.pyannote[1153].speaker SPEAKER_20
transcript.pyannote[1153].start 7055.28284375
transcript.pyannote[1153].end 7055.65409375
transcript.pyannote[1154].speaker SPEAKER_01
transcript.pyannote[1154].start 7055.65409375
transcript.pyannote[1154].end 7091.12534375
transcript.pyannote[1155].speaker SPEAKER_01
transcript.pyannote[1155].start 7091.58096875
transcript.pyannote[1155].end 7102.81971875
transcript.pyannote[1156].speaker SPEAKER_01
transcript.pyannote[1156].start 7103.15721875
transcript.pyannote[1156].end 7140.43409375
transcript.pyannote[1157].speaker SPEAKER_01
transcript.pyannote[1157].start 7141.80096875
transcript.pyannote[1157].end 7146.64409375
transcript.pyannote[1158].speaker SPEAKER_01
transcript.pyannote[1158].start 7147.13346875
transcript.pyannote[1158].end 7190.58659375
transcript.pyannote[1159].speaker SPEAKER_00
transcript.pyannote[1159].start 7164.22784375
transcript.pyannote[1159].end 7164.26159375
transcript.pyannote[1160].speaker SPEAKER_20
transcript.pyannote[1160].start 7164.26159375
transcript.pyannote[1160].end 7164.31221875
transcript.pyannote[1161].speaker SPEAKER_00
transcript.pyannote[1161].start 7164.31221875
transcript.pyannote[1161].end 7164.39659375
transcript.pyannote[1162].speaker SPEAKER_20
transcript.pyannote[1162].start 7190.58659375
transcript.pyannote[1162].end 7190.95784375
transcript.pyannote[1163].speaker SPEAKER_01
transcript.pyannote[1163].start 7191.24471875
transcript.pyannote[1163].end 7211.76471875
transcript.pyannote[1164].speaker SPEAKER_01
transcript.pyannote[1164].start 7211.89971875
transcript.pyannote[1164].end 7212.35534375
transcript.pyannote[1165].speaker SPEAKER_01
transcript.pyannote[1165].start 7212.65909375
transcript.pyannote[1165].end 7213.72221875
transcript.pyannote[1166].speaker SPEAKER_01
transcript.pyannote[1166].start 7214.17784375
transcript.pyannote[1166].end 7234.51221875
transcript.pyannote[1167].speaker SPEAKER_01
transcript.pyannote[1167].start 7234.61346875
transcript.pyannote[1167].end 7235.08596875
transcript.pyannote[1168].speaker SPEAKER_27
transcript.pyannote[1168].start 7235.62596875
transcript.pyannote[1168].end 7239.91221875
transcript.pyannote[1169].speaker SPEAKER_01
transcript.pyannote[1169].start 7240.09784375
transcript.pyannote[1169].end 7242.47721875
transcript.pyannote[1170].speaker SPEAKER_01
transcript.pyannote[1170].start 7242.96659375
transcript.pyannote[1170].end 7246.35846875
transcript.pyannote[1171].speaker SPEAKER_27
transcript.pyannote[1171].start 7246.88159375
transcript.pyannote[1171].end 7247.33721875
transcript.pyannote[1172].speaker SPEAKER_27
transcript.pyannote[1172].start 7247.79284375
transcript.pyannote[1172].end 7251.37034375
transcript.pyannote[1173].speaker SPEAKER_01
transcript.pyannote[1173].start 7249.58159375
transcript.pyannote[1173].end 7262.47409375
transcript.pyannote[1174].speaker SPEAKER_01
transcript.pyannote[1174].start 7262.98034375
transcript.pyannote[1174].end 7266.45659375
transcript.pyannote[1175].speaker SPEAKER_27
transcript.pyannote[1175].start 7267.78971875
transcript.pyannote[1175].end 7290.55409375
transcript.pyannote[1176].speaker SPEAKER_27
transcript.pyannote[1176].start 7290.67221875
transcript.pyannote[1176].end 7290.70596875
transcript.pyannote[1177].speaker SPEAKER_01
transcript.pyannote[1177].start 7290.70596875
transcript.pyannote[1177].end 7290.85784375
transcript.pyannote[1178].speaker SPEAKER_27
transcript.pyannote[1178].start 7290.85784375
transcript.pyannote[1178].end 7291.09409375
transcript.pyannote[1179].speaker SPEAKER_01
transcript.pyannote[1179].start 7291.09409375
transcript.pyannote[1179].end 7292.24159375
transcript.pyannote[1180].speaker SPEAKER_27
transcript.pyannote[1180].start 7292.84909375
transcript.pyannote[1180].end 7293.28784375
transcript.pyannote[1181].speaker SPEAKER_01
transcript.pyannote[1181].start 7292.95034375
transcript.pyannote[1181].end 7298.83971875
transcript.pyannote[1182].speaker SPEAKER_01
transcript.pyannote[1182].start 7299.07596875
transcript.pyannote[1182].end 7300.66221875
transcript.pyannote[1183].speaker SPEAKER_27
transcript.pyannote[1183].start 7300.99971875
transcript.pyannote[1183].end 7301.65784375
transcript.pyannote[1184].speaker SPEAKER_01
transcript.pyannote[1184].start 7301.30346875
transcript.pyannote[1184].end 7302.31596875
transcript.pyannote[1185].speaker SPEAKER_27
transcript.pyannote[1185].start 7302.31596875
transcript.pyannote[1185].end 7312.74471875
transcript.pyannote[1186].speaker SPEAKER_01
transcript.pyannote[1186].start 7312.71096875
transcript.pyannote[1186].end 7324.52346875
transcript.pyannote[1187].speaker SPEAKER_27
transcript.pyannote[1187].start 7312.76159375
transcript.pyannote[1187].end 7312.77846875
transcript.pyannote[1188].speaker SPEAKER_01
transcript.pyannote[1188].start 7325.31659375
transcript.pyannote[1188].end 7326.49784375
transcript.pyannote[1189].speaker SPEAKER_27
transcript.pyannote[1189].start 7327.94909375
transcript.pyannote[1189].end 7331.39159375
transcript.pyannote[1190].speaker SPEAKER_01
transcript.pyannote[1190].start 7331.00346875
transcript.pyannote[1190].end 7340.75721875
transcript.pyannote[1191].speaker SPEAKER_27
transcript.pyannote[1191].start 7332.45471875
transcript.pyannote[1191].end 7332.80909375
transcript.pyannote[1192].speaker SPEAKER_27
transcript.pyannote[1192].start 7340.99346875
transcript.pyannote[1192].end 7345.97159375
transcript.pyannote[1193].speaker SPEAKER_01
transcript.pyannote[1193].start 7345.43159375
transcript.pyannote[1193].end 7347.13596875
transcript.pyannote[1194].speaker SPEAKER_27
transcript.pyannote[1194].start 7347.13596875
transcript.pyannote[1194].end 7347.15284375
transcript.pyannote[1195].speaker SPEAKER_01
transcript.pyannote[1195].start 7347.81096875
transcript.pyannote[1195].end 7360.09596875
transcript.pyannote[1196].speaker SPEAKER_01
transcript.pyannote[1196].start 7360.46721875
transcript.pyannote[1196].end 7378.99596875
transcript.pyannote[1197].speaker SPEAKER_01
transcript.pyannote[1197].start 7379.97471875
transcript.pyannote[1197].end 7381.69596875
transcript.pyannote[1198].speaker SPEAKER_01
transcript.pyannote[1198].start 7381.76346875
transcript.pyannote[1198].end 7384.02471875
transcript.pyannote[1199].speaker SPEAKER_01
transcript.pyannote[1199].start 7384.21034375
transcript.pyannote[1199].end 7389.15471875
transcript.pyannote[1200].speaker SPEAKER_01
transcript.pyannote[1200].start 7389.35721875
transcript.pyannote[1200].end 7394.43659375
transcript.pyannote[1201].speaker SPEAKER_01
transcript.pyannote[1201].start 7394.82471875
transcript.pyannote[1201].end 7407.19409375
transcript.pyannote[1202].speaker SPEAKER_01
transcript.pyannote[1202].start 7407.54846875
transcript.pyannote[1202].end 7412.08784375
transcript.pyannote[1203].speaker SPEAKER_27
transcript.pyannote[1203].start 7412.08784375
transcript.pyannote[1203].end 7416.54284375
transcript.pyannote[1204].speaker SPEAKER_01
transcript.pyannote[1204].start 7416.18846875
transcript.pyannote[1204].end 7417.84221875
transcript.pyannote[1205].speaker SPEAKER_27
transcript.pyannote[1205].start 7417.84221875
transcript.pyannote[1205].end 7426.34721875
transcript.pyannote[1206].speaker SPEAKER_01
transcript.pyannote[1206].start 7426.34721875
transcript.pyannote[1206].end 7431.44346875
transcript.pyannote[1207].speaker SPEAKER_01
transcript.pyannote[1207].start 7432.18596875
transcript.pyannote[1207].end 7436.50596875
transcript.pyannote[1208].speaker SPEAKER_27
transcript.pyannote[1208].start 7436.50596875
transcript.pyannote[1208].end 7437.45096875
transcript.pyannote[1209].speaker SPEAKER_01
transcript.pyannote[1209].start 7437.90659375
transcript.pyannote[1209].end 7452.53721875
transcript.pyannote[1210].speaker SPEAKER_01
transcript.pyannote[1210].start 7452.89159375
transcript.pyannote[1210].end 7457.26221875
transcript.pyannote[1211].speaker SPEAKER_01
transcript.pyannote[1211].start 7458.71346875
transcript.pyannote[1211].end 7460.04659375
transcript.pyannote[1212].speaker SPEAKER_01
transcript.pyannote[1212].start 7460.41784375
transcript.pyannote[1212].end 7470.17159375
transcript.pyannote[1213].speaker SPEAKER_01
transcript.pyannote[1213].start 7470.88034375
transcript.pyannote[1213].end 7481.27534375
transcript.pyannote[1214].speaker SPEAKER_01
transcript.pyannote[1214].start 7482.69284375
transcript.pyannote[1214].end 7486.27034375
transcript.pyannote[1215].speaker SPEAKER_01
transcript.pyannote[1215].start 7487.08034375
transcript.pyannote[1215].end 7490.01659375
transcript.pyannote[1216].speaker SPEAKER_01
transcript.pyannote[1216].start 7490.35409375
transcript.pyannote[1216].end 7516.91534375
transcript.pyannote[1217].speaker SPEAKER_01
transcript.pyannote[1217].start 7517.67471875
transcript.pyannote[1217].end 7523.39534375
transcript.pyannote[1218].speaker SPEAKER_01
transcript.pyannote[1218].start 7523.69909375
transcript.pyannote[1218].end 7543.98284375
transcript.pyannote[1219].speaker SPEAKER_01
transcript.pyannote[1219].start 7544.35409375
transcript.pyannote[1219].end 7551.71159375
transcript.pyannote[1220].speaker SPEAKER_27
transcript.pyannote[1220].start 7553.46659375
transcript.pyannote[1220].end 7581.46221875
transcript.pyannote[1221].speaker SPEAKER_01
transcript.pyannote[1221].start 7582.17096875
transcript.pyannote[1221].end 7583.40284375
transcript.pyannote[1222].speaker SPEAKER_01
transcript.pyannote[1222].start 7584.04409375
transcript.pyannote[1222].end 7609.93034375
transcript.pyannote[1223].speaker SPEAKER_27
transcript.pyannote[1223].start 7610.16659375
transcript.pyannote[1223].end 7616.62971875
transcript.pyannote[1224].speaker SPEAKER_27
transcript.pyannote[1224].start 7616.91659375
transcript.pyannote[1224].end 7619.65034375
transcript.pyannote[1225].speaker SPEAKER_27
transcript.pyannote[1225].start 7620.17346875
transcript.pyannote[1225].end 7628.62784375
transcript.pyannote[1226].speaker SPEAKER_27
transcript.pyannote[1226].start 7628.88096875
transcript.pyannote[1226].end 7629.85971875
transcript.pyannote[1227].speaker SPEAKER_27
transcript.pyannote[1227].start 7630.97346875
transcript.pyannote[1227].end 7637.57159375
transcript.pyannote[1228].speaker SPEAKER_01
transcript.pyannote[1228].start 7632.08721875
transcript.pyannote[1228].end 7633.06596875
transcript.pyannote[1229].speaker SPEAKER_27
transcript.pyannote[1229].start 7637.70659375
transcript.pyannote[1229].end 7638.78659375
transcript.pyannote[1230].speaker SPEAKER_27
transcript.pyannote[1230].start 7639.24221875
transcript.pyannote[1230].end 7645.67159375
transcript.pyannote[1231].speaker SPEAKER_01
transcript.pyannote[1231].start 7644.62534375
transcript.pyannote[1231].end 7648.47284375
transcript.pyannote[1232].speaker SPEAKER_01
transcript.pyannote[1232].start 7648.62471875
transcript.pyannote[1232].end 7655.39159375
transcript.pyannote[1233].speaker SPEAKER_27
transcript.pyannote[1233].start 7651.13909375
transcript.pyannote[1233].end 7651.15596875
transcript.pyannote[1234].speaker SPEAKER_20
transcript.pyannote[1234].start 7651.15596875
transcript.pyannote[1234].end 7651.96596875
transcript.pyannote[1235].speaker SPEAKER_01
transcript.pyannote[1235].start 7655.93159375
transcript.pyannote[1235].end 7657.38284375
transcript.pyannote[1236].speaker SPEAKER_01
transcript.pyannote[1236].start 7657.90596875
transcript.pyannote[1236].end 7705.29096875
transcript.pyannote[1237].speaker SPEAKER_27
transcript.pyannote[1237].start 7705.62846875
transcript.pyannote[1237].end 7705.64534375
transcript.pyannote[1238].speaker SPEAKER_06
transcript.pyannote[1238].start 7705.64534375
transcript.pyannote[1238].end 7705.67909375
transcript.pyannote[1239].speaker SPEAKER_20
transcript.pyannote[1239].start 7705.67909375
transcript.pyannote[1239].end 7705.94909375
transcript.pyannote[1240].speaker SPEAKER_06
transcript.pyannote[1240].start 7705.94909375
transcript.pyannote[1240].end 7706.03346875
transcript.pyannote[1241].speaker SPEAKER_01
transcript.pyannote[1241].start 7706.03346875
transcript.pyannote[1241].end 7709.76284375
transcript.pyannote[1242].speaker SPEAKER_27
transcript.pyannote[1242].start 7709.12159375
transcript.pyannote[1242].end 7709.13846875
transcript.pyannote[1243].speaker SPEAKER_06
transcript.pyannote[1243].start 7709.13846875
transcript.pyannote[1243].end 7709.72909375
transcript.pyannote[1244].speaker SPEAKER_27
transcript.pyannote[1244].start 7709.72909375
transcript.pyannote[1244].end 7709.84721875
transcript.pyannote[1245].speaker SPEAKER_06
transcript.pyannote[1245].start 7709.84721875
transcript.pyannote[1245].end 7710.13409375
transcript.pyannote[1246].speaker SPEAKER_27
transcript.pyannote[1246].start 7710.13409375
transcript.pyannote[1246].end 7710.60659375
transcript.pyannote[1247].speaker SPEAKER_06
transcript.pyannote[1247].start 7710.60659375
transcript.pyannote[1247].end 7710.62346875
transcript.pyannote[1248].speaker SPEAKER_06
transcript.pyannote[1248].start 7711.68659375
transcript.pyannote[1248].end 7722.95909375
transcript.pyannote[1249].speaker SPEAKER_11
transcript.pyannote[1249].start 7729.69221875
transcript.pyannote[1249].end 7732.00409375
transcript.pyannote[1250].speaker SPEAKER_06
transcript.pyannote[1250].start 7732.10534375
transcript.pyannote[1250].end 7732.13909375
transcript.pyannote[1251].speaker SPEAKER_11
transcript.pyannote[1251].start 7732.13909375
transcript.pyannote[1251].end 7732.18971875
transcript.pyannote[1252].speaker SPEAKER_06
transcript.pyannote[1252].start 7732.18971875
transcript.pyannote[1252].end 7732.27409375
transcript.pyannote[1253].speaker SPEAKER_11
transcript.pyannote[1253].start 7732.27409375
transcript.pyannote[1253].end 7733.11784375
transcript.pyannote[1254].speaker SPEAKER_27
transcript.pyannote[1254].start 7738.18034375
transcript.pyannote[1254].end 7738.51784375
transcript.pyannote[1255].speaker SPEAKER_11
transcript.pyannote[1255].start 7739.39534375
transcript.pyannote[1255].end 7757.68784375
transcript.pyannote[1256].speaker SPEAKER_11
transcript.pyannote[1256].start 7757.97471875
transcript.pyannote[1256].end 7759.37534375
transcript.pyannote[1257].speaker SPEAKER_27
transcript.pyannote[1257].start 7759.84784375
transcript.pyannote[1257].end 7763.91471875
transcript.pyannote[1258].speaker SPEAKER_27
transcript.pyannote[1258].start 7764.45471875
transcript.pyannote[1258].end 7770.19221875
transcript.pyannote[1259].speaker SPEAKER_11
transcript.pyannote[1259].start 7770.96846875
transcript.pyannote[1259].end 7776.18284375
transcript.pyannote[1260].speaker SPEAKER_27
transcript.pyannote[1260].start 7774.63034375
transcript.pyannote[1260].end 7775.23784375
transcript.pyannote[1261].speaker SPEAKER_27
transcript.pyannote[1261].start 7775.25471875
transcript.pyannote[1261].end 7775.27159375
transcript.pyannote[1262].speaker SPEAKER_27
transcript.pyannote[1262].start 7776.60471875
transcript.pyannote[1262].end 7780.60409375
transcript.pyannote[1263].speaker SPEAKER_27
transcript.pyannote[1263].start 7780.99221875
transcript.pyannote[1263].end 7783.40534375
transcript.pyannote[1264].speaker SPEAKER_11
transcript.pyannote[1264].start 7783.62471875
transcript.pyannote[1264].end 7787.35409375
transcript.pyannote[1265].speaker SPEAKER_11
transcript.pyannote[1265].start 7787.67471875
transcript.pyannote[1265].end 7790.69534375
transcript.pyannote[1266].speaker SPEAKER_27
transcript.pyannote[1266].start 7790.76284375
transcript.pyannote[1266].end 7799.53784375
transcript.pyannote[1267].speaker SPEAKER_11
transcript.pyannote[1267].start 7800.49971875
transcript.pyannote[1267].end 7806.11909375
transcript.pyannote[1268].speaker SPEAKER_27
transcript.pyannote[1268].start 7806.70971875
transcript.pyannote[1268].end 7809.56159375
transcript.pyannote[1269].speaker SPEAKER_27
transcript.pyannote[1269].start 7809.67971875
transcript.pyannote[1269].end 7816.02471875
transcript.pyannote[1270].speaker SPEAKER_11
transcript.pyannote[1270].start 7816.63221875
transcript.pyannote[1270].end 7838.41784375
transcript.pyannote[1271].speaker SPEAKER_11
transcript.pyannote[1271].start 7838.65409375
transcript.pyannote[1271].end 7838.70471875
transcript.pyannote[1272].speaker SPEAKER_11
transcript.pyannote[1272].start 7839.07596875
transcript.pyannote[1272].end 7840.40909375
transcript.pyannote[1273].speaker SPEAKER_27
transcript.pyannote[1273].start 7840.40909375
transcript.pyannote[1273].end 7841.89409375
transcript.pyannote[1274].speaker SPEAKER_27
transcript.pyannote[1274].start 7842.48471875
transcript.pyannote[1274].end 7850.39909375
transcript.pyannote[1275].speaker SPEAKER_11
transcript.pyannote[1275].start 7850.51721875
transcript.pyannote[1275].end 7881.24659375
transcript.pyannote[1276].speaker SPEAKER_27
transcript.pyannote[1276].start 7881.61784375
transcript.pyannote[1276].end 7882.27596875
transcript.pyannote[1277].speaker SPEAKER_27
transcript.pyannote[1277].start 7882.51221875
transcript.pyannote[1277].end 7918.67534375
transcript.pyannote[1278].speaker SPEAKER_11
transcript.pyannote[1278].start 7919.33346875
transcript.pyannote[1278].end 7940.44409375
transcript.pyannote[1279].speaker SPEAKER_27
transcript.pyannote[1279].start 7940.47784375
transcript.pyannote[1279].end 7959.24284375
transcript.pyannote[1280].speaker SPEAKER_27
transcript.pyannote[1280].start 7959.73221875
transcript.pyannote[1280].end 7984.23471875
transcript.pyannote[1281].speaker SPEAKER_11
transcript.pyannote[1281].start 7983.15471875
transcript.pyannote[1281].end 7983.69471875
transcript.pyannote[1282].speaker SPEAKER_11
transcript.pyannote[1282].start 7984.23471875
transcript.pyannote[1282].end 7985.77034375
transcript.pyannote[1283].speaker SPEAKER_27
transcript.pyannote[1283].start 7985.77034375
transcript.pyannote[1283].end 7986.27659375
transcript.pyannote[1284].speaker SPEAKER_11
transcript.pyannote[1284].start 7986.27659375
transcript.pyannote[1284].end 7986.31034375
transcript.pyannote[1285].speaker SPEAKER_11
transcript.pyannote[1285].start 7986.85034375
transcript.pyannote[1285].end 8010.66096875
transcript.pyannote[1286].speaker SPEAKER_27
transcript.pyannote[1286].start 8010.88034375
transcript.pyannote[1286].end 8028.31221875
transcript.pyannote[1287].speaker SPEAKER_27
transcript.pyannote[1287].start 8028.68346875
transcript.pyannote[1287].end 8031.07971875
transcript.pyannote[1288].speaker SPEAKER_11
transcript.pyannote[1288].start 8031.72096875
transcript.pyannote[1288].end 8035.02846875
transcript.pyannote[1289].speaker SPEAKER_27
transcript.pyannote[1289].start 8036.17596875
transcript.pyannote[1289].end 8051.27909375
transcript.pyannote[1290].speaker SPEAKER_27
transcript.pyannote[1290].start 8051.36346875
transcript.pyannote[1290].end 8054.85659375
transcript.pyannote[1291].speaker SPEAKER_11
transcript.pyannote[1291].start 8055.58221875
transcript.pyannote[1291].end 8065.70721875
transcript.pyannote[1292].speaker SPEAKER_27
transcript.pyannote[1292].start 8065.90971875
transcript.pyannote[1292].end 8068.98096875
transcript.pyannote[1293].speaker SPEAKER_11
transcript.pyannote[1293].start 8069.18346875
transcript.pyannote[1293].end 8109.97034375
transcript.pyannote[1294].speaker SPEAKER_27
transcript.pyannote[1294].start 8110.25721875
transcript.pyannote[1294].end 8112.97409375
transcript.pyannote[1295].speaker SPEAKER_21
transcript.pyannote[1295].start 8115.20159375
transcript.pyannote[1295].end 8116.07909375
transcript.pyannote[1296].speaker SPEAKER_21
transcript.pyannote[1296].start 8116.26471875
transcript.pyannote[1296].end 8132.78534375
transcript.pyannote[1297].speaker SPEAKER_11
transcript.pyannote[1297].start 8133.42659375
transcript.pyannote[1297].end 8156.79846875
transcript.pyannote[1298].speaker SPEAKER_27
transcript.pyannote[1298].start 8157.84471875
transcript.pyannote[1298].end 8162.40096875
transcript.pyannote[1299].speaker SPEAKER_11
transcript.pyannote[1299].start 8159.51534375
transcript.pyannote[1299].end 8160.05534375
transcript.pyannote[1300].speaker SPEAKER_27
transcript.pyannote[1300].start 8162.50221875
transcript.pyannote[1300].end 8170.36596875
transcript.pyannote[1301].speaker SPEAKER_11
transcript.pyannote[1301].start 8162.83971875
transcript.pyannote[1301].end 8164.10534375
transcript.pyannote[1302].speaker SPEAKER_21
transcript.pyannote[1302].start 8171.32784375
transcript.pyannote[1302].end 8172.82971875
transcript.pyannote[1303].speaker SPEAKER_21
transcript.pyannote[1303].start 8173.52159375
transcript.pyannote[1303].end 8184.27096875
transcript.pyannote[1304].speaker SPEAKER_11
transcript.pyannote[1304].start 8182.66784375
transcript.pyannote[1304].end 8185.24971875
transcript.pyannote[1305].speaker SPEAKER_21
transcript.pyannote[1305].start 8185.50284375
transcript.pyannote[1305].end 8195.44221875
transcript.pyannote[1306].speaker SPEAKER_11
transcript.pyannote[1306].start 8196.18471875
transcript.pyannote[1306].end 8197.29846875
transcript.pyannote[1307].speaker SPEAKER_11
transcript.pyannote[1307].start 8197.61909375
transcript.pyannote[1307].end 8199.54284375
transcript.pyannote[1308].speaker SPEAKER_11
transcript.pyannote[1308].start 8200.01534375
transcript.pyannote[1308].end 8200.85909375
transcript.pyannote[1309].speaker SPEAKER_27
transcript.pyannote[1309].start 8201.88846875
transcript.pyannote[1309].end 8202.46221875
transcript.pyannote[1310].speaker SPEAKER_27
transcript.pyannote[1310].start 8203.82909375
transcript.pyannote[1310].end 8205.04409375
transcript.pyannote[1311].speaker SPEAKER_27
transcript.pyannote[1311].start 8205.44909375
transcript.pyannote[1311].end 8211.00096875
transcript.pyannote[1312].speaker SPEAKER_27
transcript.pyannote[1312].start 8211.01784375
transcript.pyannote[1312].end 8211.03471875
transcript.pyannote[1313].speaker SPEAKER_27
transcript.pyannote[1313].start 8211.20346875
transcript.pyannote[1313].end 8215.94534375
transcript.pyannote[1314].speaker SPEAKER_11
transcript.pyannote[1314].start 8216.46846875
transcript.pyannote[1314].end 8217.63284375
transcript.pyannote[1315].speaker SPEAKER_11
transcript.pyannote[1315].start 8217.97034375
transcript.pyannote[1315].end 8229.29346875
transcript.pyannote[1316].speaker SPEAKER_27
transcript.pyannote[1316].start 8229.29346875
transcript.pyannote[1316].end 8234.57534375
transcript.pyannote[1317].speaker SPEAKER_11
transcript.pyannote[1317].start 8234.81159375
transcript.pyannote[1317].end 8237.35971875
transcript.pyannote[1318].speaker SPEAKER_27
transcript.pyannote[1318].start 8237.49471875
transcript.pyannote[1318].end 8249.13846875
transcript.pyannote[1319].speaker SPEAKER_11
transcript.pyannote[1319].start 8248.95284375
transcript.pyannote[1319].end 8268.20721875
transcript.pyannote[1320].speaker SPEAKER_27
transcript.pyannote[1320].start 8268.30846875
transcript.pyannote[1320].end 8273.74221875
transcript.pyannote[1321].speaker SPEAKER_11
transcript.pyannote[1321].start 8273.94471875
transcript.pyannote[1321].end 8276.39159375
transcript.pyannote[1322].speaker SPEAKER_27
transcript.pyannote[1322].start 8276.61096875
transcript.pyannote[1322].end 8289.09846875
transcript.pyannote[1323].speaker SPEAKER_11
transcript.pyannote[1323].start 8289.38534375
transcript.pyannote[1323].end 8299.79721875
transcript.pyannote[1324].speaker SPEAKER_06
transcript.pyannote[1324].start 8299.79721875
transcript.pyannote[1324].end 8299.81409375
transcript.pyannote[1325].speaker SPEAKER_11
transcript.pyannote[1325].start 8300.87721875
transcript.pyannote[1325].end 8301.02909375
transcript.pyannote[1326].speaker SPEAKER_06
transcript.pyannote[1326].start 8301.02909375
transcript.pyannote[1326].end 8305.04534375
transcript.pyannote[1327].speaker SPEAKER_26
transcript.pyannote[1327].start 8314.96784375
transcript.pyannote[1327].end 8317.46534375
transcript.pyannote[1328].speaker SPEAKER_20
transcript.pyannote[1328].start 8317.46534375
transcript.pyannote[1328].end 8317.49909375
transcript.pyannote[1329].speaker SPEAKER_20
transcript.pyannote[1329].start 8317.56659375
transcript.pyannote[1329].end 8317.70159375
transcript.pyannote[1330].speaker SPEAKER_20
transcript.pyannote[1330].start 8317.98846875
transcript.pyannote[1330].end 8325.97034375
transcript.pyannote[1331].speaker SPEAKER_26
transcript.pyannote[1331].start 8322.57846875
transcript.pyannote[1331].end 8323.23659375
transcript.pyannote[1332].speaker SPEAKER_26
transcript.pyannote[1332].start 8325.32909375
transcript.pyannote[1332].end 8347.84034375
transcript.pyannote[1333].speaker SPEAKER_20
transcript.pyannote[1333].start 8334.55971875
transcript.pyannote[1333].end 8337.79971875
transcript.pyannote[1334].speaker SPEAKER_20
transcript.pyannote[1334].start 8343.01409375
transcript.pyannote[1334].end 8343.97596875
transcript.pyannote[1335].speaker SPEAKER_17
transcript.pyannote[1335].start 8343.97596875
transcript.pyannote[1335].end 8344.71846875
transcript.pyannote[1336].speaker SPEAKER_20
transcript.pyannote[1336].start 8344.71846875
transcript.pyannote[1336].end 8345.46096875
transcript.pyannote[1337].speaker SPEAKER_20
transcript.pyannote[1337].start 8345.51159375
transcript.pyannote[1337].end 8345.88284375
transcript.pyannote[1338].speaker SPEAKER_20
transcript.pyannote[1338].start 8462.01659375
transcript.pyannote[1338].end 8462.03346875
transcript.pyannote[1339].speaker SPEAKER_20
transcript.pyannote[1339].start 8462.08409375
transcript.pyannote[1339].end 8462.18534375
transcript.pyannote[1340].speaker SPEAKER_05
transcript.pyannote[1340].start 8625.23159375
transcript.pyannote[1340].end 8627.12159375
transcript.pyannote[1341].speaker SPEAKER_06
transcript.pyannote[1341].start 9928.03221875
transcript.pyannote[1341].end 9929.14596875
transcript.pyannote[1342].speaker SPEAKER_06
transcript.pyannote[1342].start 9931.18784375
transcript.pyannote[1342].end 9932.14971875
transcript.pyannote[1343].speaker SPEAKER_06
transcript.pyannote[1343].start 9933.02721875
transcript.pyannote[1343].end 9933.38159375
transcript.pyannote[1344].speaker SPEAKER_06
transcript.pyannote[1344].start 9933.95534375
transcript.pyannote[1344].end 9937.31346875
transcript.pyannote[1345].speaker SPEAKER_07
transcript.pyannote[1345].start 9941.95409375
transcript.pyannote[1345].end 9944.09721875
transcript.pyannote[1346].speaker SPEAKER_07
transcript.pyannote[1346].start 9945.00846875
transcript.pyannote[1346].end 9945.81846875
transcript.pyannote[1347].speaker SPEAKER_07
transcript.pyannote[1347].start 9946.44284375
transcript.pyannote[1347].end 9947.64096875
transcript.pyannote[1348].speaker SPEAKER_27
transcript.pyannote[1348].start 9952.36596875
transcript.pyannote[1348].end 9952.83846875
transcript.pyannote[1349].speaker SPEAKER_07
transcript.pyannote[1349].start 9953.91846875
transcript.pyannote[1349].end 9959.62221875
transcript.pyannote[1350].speaker SPEAKER_07
transcript.pyannote[1350].start 9959.87534375
transcript.pyannote[1350].end 9962.79471875
transcript.pyannote[1351].speaker SPEAKER_07
transcript.pyannote[1351].start 9963.14909375
transcript.pyannote[1351].end 9965.37659375
transcript.pyannote[1352].speaker SPEAKER_07
transcript.pyannote[1352].start 9965.64659375
transcript.pyannote[1352].end 9968.32971875
transcript.pyannote[1353].speaker SPEAKER_07
transcript.pyannote[1353].start 9968.73471875
transcript.pyannote[1353].end 9969.02159375
transcript.pyannote[1354].speaker SPEAKER_07
transcript.pyannote[1354].start 9969.25784375
transcript.pyannote[1354].end 9970.55721875
transcript.pyannote[1355].speaker SPEAKER_07
transcript.pyannote[1355].start 9971.14784375
transcript.pyannote[1355].end 9971.95784375
transcript.pyannote[1356].speaker SPEAKER_07
transcript.pyannote[1356].start 9972.41346875
transcript.pyannote[1356].end 9988.02284375
transcript.pyannote[1357].speaker SPEAKER_07
transcript.pyannote[1357].start 9988.37721875
transcript.pyannote[1357].end 9992.91659375
transcript.pyannote[1358].speaker SPEAKER_27
transcript.pyannote[1358].start 9993.20346875
transcript.pyannote[1358].end 9994.40159375
transcript.pyannote[1359].speaker SPEAKER_07
transcript.pyannote[1359].start 9993.42284375
transcript.pyannote[1359].end 9993.79409375
transcript.pyannote[1360].speaker SPEAKER_07
transcript.pyannote[1360].start 9993.94596875
transcript.pyannote[1360].end 9994.68846875
transcript.pyannote[1361].speaker SPEAKER_07
transcript.pyannote[1361].start 9995.12721875
transcript.pyannote[1361].end 9995.75159375
transcript.pyannote[1362].speaker SPEAKER_07
transcript.pyannote[1362].start 9995.85284375
transcript.pyannote[1362].end 10000.56096875
transcript.pyannote[1363].speaker SPEAKER_07
transcript.pyannote[1363].start 10000.89846875
transcript.pyannote[1363].end 10001.96159375
transcript.pyannote[1364].speaker SPEAKER_07
transcript.pyannote[1364].start 10002.75471875
transcript.pyannote[1364].end 10007.69909375
transcript.pyannote[1365].speaker SPEAKER_07
transcript.pyannote[1365].start 10008.52596875
transcript.pyannote[1365].end 10009.53846875
transcript.pyannote[1366].speaker SPEAKER_07
transcript.pyannote[1366].start 10009.89284375
transcript.pyannote[1366].end 10012.67721875
transcript.pyannote[1367].speaker SPEAKER_07
transcript.pyannote[1367].start 10013.21721875
transcript.pyannote[1367].end 10015.02284375
transcript.pyannote[1368].speaker SPEAKER_07
transcript.pyannote[1368].start 10015.61346875
transcript.pyannote[1368].end 10016.65971875
transcript.pyannote[1369].speaker SPEAKER_07
transcript.pyannote[1369].start 10016.94659375
transcript.pyannote[1369].end 10018.06034375
transcript.pyannote[1370].speaker SPEAKER_07
transcript.pyannote[1370].start 10018.31346875
transcript.pyannote[1370].end 10023.83159375
transcript.pyannote[1371].speaker SPEAKER_07
transcript.pyannote[1371].start 10024.27034375
transcript.pyannote[1371].end 10024.86096875
transcript.pyannote[1372].speaker SPEAKER_07
transcript.pyannote[1372].start 10025.06346875
transcript.pyannote[1372].end 10031.56034375
transcript.pyannote[1373].speaker SPEAKER_07
transcript.pyannote[1373].start 10031.64471875
transcript.pyannote[1373].end 10039.22159375
transcript.pyannote[1374].speaker SPEAKER_07
transcript.pyannote[1374].start 10040.28471875
transcript.pyannote[1374].end 10040.72346875
transcript.pyannote[1375].speaker SPEAKER_07
transcript.pyannote[1375].start 10041.26346875
transcript.pyannote[1375].end 10043.30534375
transcript.pyannote[1376].speaker SPEAKER_27
transcript.pyannote[1376].start 10043.54159375
transcript.pyannote[1376].end 10048.67159375
transcript.pyannote[1377].speaker SPEAKER_07
transcript.pyannote[1377].start 10050.10596875
transcript.pyannote[1377].end 10056.97409375
transcript.pyannote[1378].speaker SPEAKER_07
transcript.pyannote[1378].start 10057.59846875
transcript.pyannote[1378].end 10060.02846875
transcript.pyannote[1379].speaker SPEAKER_07
transcript.pyannote[1379].start 10060.85534375
transcript.pyannote[1379].end 10062.84659375
transcript.pyannote[1380].speaker SPEAKER_07
transcript.pyannote[1380].start 10063.21784375
transcript.pyannote[1380].end 10064.46659375
transcript.pyannote[1381].speaker SPEAKER_07
transcript.pyannote[1381].start 10065.25971875
transcript.pyannote[1381].end 10066.30596875
transcript.pyannote[1382].speaker SPEAKER_20
transcript.pyannote[1382].start 10066.44096875
transcript.pyannote[1382].end 10066.96409375
transcript.pyannote[1383].speaker SPEAKER_07
transcript.pyannote[1383].start 10067.36909375
transcript.pyannote[1383].end 10069.15784375
transcript.pyannote[1384].speaker SPEAKER_07
transcript.pyannote[1384].start 10069.17471875
transcript.pyannote[1384].end 10071.13221875
transcript.pyannote[1385].speaker SPEAKER_07
transcript.pyannote[1385].start 10071.60471875
transcript.pyannote[1385].end 10073.35971875
transcript.pyannote[1386].speaker SPEAKER_07
transcript.pyannote[1386].start 10073.78159375
transcript.pyannote[1386].end 10075.23284375
transcript.pyannote[1387].speaker SPEAKER_07
transcript.pyannote[1387].start 10075.75596875
transcript.pyannote[1387].end 10080.05909375
transcript.pyannote[1388].speaker SPEAKER_07
transcript.pyannote[1388].start 10080.48096875
transcript.pyannote[1388].end 10083.82221875
transcript.pyannote[1389].speaker SPEAKER_07
transcript.pyannote[1389].start 10084.17659375
transcript.pyannote[1389].end 10086.10034375
transcript.pyannote[1390].speaker SPEAKER_07
transcript.pyannote[1390].start 10086.62346875
transcript.pyannote[1390].end 10089.64409375
transcript.pyannote[1391].speaker SPEAKER_27
transcript.pyannote[1391].start 10090.33596875
transcript.pyannote[1391].end 10104.27471875
transcript.pyannote[1392].speaker SPEAKER_27
transcript.pyannote[1392].start 10104.73034375
transcript.pyannote[1392].end 10124.77784375
transcript.pyannote[1393].speaker SPEAKER_07
transcript.pyannote[1393].start 10124.15346875
transcript.pyannote[1393].end 10135.15596875
transcript.pyannote[1394].speaker SPEAKER_27
transcript.pyannote[1394].start 10125.58784375
transcript.pyannote[1394].end 10126.24596875
transcript.pyannote[1395].speaker SPEAKER_27
transcript.pyannote[1395].start 10135.12221875
transcript.pyannote[1395].end 10135.49346875
transcript.pyannote[1396].speaker SPEAKER_27
transcript.pyannote[1396].start 10135.72971875
transcript.pyannote[1396].end 10143.88034375
transcript.pyannote[1397].speaker SPEAKER_27
transcript.pyannote[1397].start 10144.18409375
transcript.pyannote[1397].end 10145.82096875
transcript.pyannote[1398].speaker SPEAKER_27
transcript.pyannote[1398].start 10146.14159375
transcript.pyannote[1398].end 10161.63284375
transcript.pyannote[1399].speaker SPEAKER_07
transcript.pyannote[1399].start 10161.68346875
transcript.pyannote[1399].end 10163.06721875
transcript.pyannote[1400].speaker SPEAKER_27
transcript.pyannote[1400].start 10163.45534375
transcript.pyannote[1400].end 10166.71221875
transcript.pyannote[1401].speaker SPEAKER_27
transcript.pyannote[1401].start 10166.89784375
transcript.pyannote[1401].end 10209.92909375
transcript.pyannote[1402].speaker SPEAKER_27
transcript.pyannote[1402].start 10210.23284375
transcript.pyannote[1402].end 10227.74909375
transcript.pyannote[1403].speaker SPEAKER_27
transcript.pyannote[1403].start 10228.33971875
transcript.pyannote[1403].end 10232.99721875
transcript.pyannote[1404].speaker SPEAKER_07
transcript.pyannote[1404].start 10233.19971875
transcript.pyannote[1404].end 10233.52034375
transcript.pyannote[1405].speaker SPEAKER_07
transcript.pyannote[1405].start 10234.22909375
transcript.pyannote[1405].end 10240.37159375
transcript.pyannote[1406].speaker SPEAKER_07
transcript.pyannote[1406].start 10240.60784375
transcript.pyannote[1406].end 10242.12659375
transcript.pyannote[1407].speaker SPEAKER_07
transcript.pyannote[1407].start 10242.59909375
transcript.pyannote[1407].end 10243.88159375
transcript.pyannote[1408].speaker SPEAKER_07
transcript.pyannote[1408].start 10244.13471875
transcript.pyannote[1408].end 10247.91471875
transcript.pyannote[1409].speaker SPEAKER_07
transcript.pyannote[1409].start 10248.53909375
transcript.pyannote[1409].end 10255.50846875
transcript.pyannote[1410].speaker SPEAKER_07
transcript.pyannote[1410].start 10256.31846875
transcript.pyannote[1410].end 10265.58284375
transcript.pyannote[1411].speaker SPEAKER_07
transcript.pyannote[1411].start 10266.02159375
transcript.pyannote[1411].end 10267.32096875
transcript.pyannote[1412].speaker SPEAKER_07
transcript.pyannote[1412].start 10267.67534375
transcript.pyannote[1412].end 10269.56534375
transcript.pyannote[1413].speaker SPEAKER_07
transcript.pyannote[1413].start 10270.12221875
transcript.pyannote[1413].end 10274.03721875
transcript.pyannote[1414].speaker SPEAKER_07
transcript.pyannote[1414].start 10274.76284375
transcript.pyannote[1414].end 10276.39971875
transcript.pyannote[1415].speaker SPEAKER_07
transcript.pyannote[1415].start 10277.05784375
transcript.pyannote[1415].end 10277.88471875
transcript.pyannote[1416].speaker SPEAKER_07
transcript.pyannote[1416].start 10278.86346875
transcript.pyannote[1416].end 10282.72784375
transcript.pyannote[1417].speaker SPEAKER_07
transcript.pyannote[1417].start 10283.25096875
transcript.pyannote[1417].end 10289.68034375
transcript.pyannote[1418].speaker SPEAKER_07
transcript.pyannote[1418].start 10290.20346875
transcript.pyannote[1418].end 10292.73471875
transcript.pyannote[1419].speaker SPEAKER_07
transcript.pyannote[1419].start 10293.05534375
transcript.pyannote[1419].end 10293.98346875
transcript.pyannote[1420].speaker SPEAKER_07
transcript.pyannote[1420].start 10294.35471875
transcript.pyannote[1420].end 10298.77596875
transcript.pyannote[1421].speaker SPEAKER_07
transcript.pyannote[1421].start 10299.18096875
transcript.pyannote[1421].end 10302.38721875
transcript.pyannote[1422].speaker SPEAKER_07
transcript.pyannote[1422].start 10303.04534375
transcript.pyannote[1422].end 10304.69909375
transcript.pyannote[1423].speaker SPEAKER_07
transcript.pyannote[1423].start 10304.85096875
transcript.pyannote[1423].end 10306.87596875
transcript.pyannote[1424].speaker SPEAKER_07
transcript.pyannote[1424].start 10307.41596875
transcript.pyannote[1424].end 10309.03596875
transcript.pyannote[1425].speaker SPEAKER_07
transcript.pyannote[1425].start 10309.84596875
transcript.pyannote[1425].end 10312.25909375
transcript.pyannote[1426].speaker SPEAKER_07
transcript.pyannote[1426].start 10313.00159375
transcript.pyannote[1426].end 10314.79034375
transcript.pyannote[1427].speaker SPEAKER_07
transcript.pyannote[1427].start 10315.22909375
transcript.pyannote[1427].end 10317.15284375
transcript.pyannote[1428].speaker SPEAKER_27
transcript.pyannote[1428].start 10317.42284375
transcript.pyannote[1428].end 10319.14409375
transcript.pyannote[1429].speaker SPEAKER_27
transcript.pyannote[1429].start 10319.83596875
transcript.pyannote[1429].end 10320.25784375
transcript.pyannote[1430].speaker SPEAKER_07
transcript.pyannote[1430].start 10320.25784375
transcript.pyannote[1430].end 10323.19409375
transcript.pyannote[1431].speaker SPEAKER_07
transcript.pyannote[1431].start 10323.53159375
transcript.pyannote[1431].end 10326.45096875
transcript.pyannote[1432].speaker SPEAKER_07
transcript.pyannote[1432].start 10327.04159375
transcript.pyannote[1432].end 10329.58971875
transcript.pyannote[1433].speaker SPEAKER_07
transcript.pyannote[1433].start 10330.09596875
transcript.pyannote[1433].end 10332.40784375
transcript.pyannote[1434].speaker SPEAKER_07
transcript.pyannote[1434].start 10333.16721875
transcript.pyannote[1434].end 10335.47909375
transcript.pyannote[1435].speaker SPEAKER_07
transcript.pyannote[1435].start 10335.73221875
transcript.pyannote[1435].end 10338.16221875
transcript.pyannote[1436].speaker SPEAKER_07
transcript.pyannote[1436].start 10338.46596875
transcript.pyannote[1436].end 10342.66784375
transcript.pyannote[1437].speaker SPEAKER_07
transcript.pyannote[1437].start 10343.27534375
transcript.pyannote[1437].end 10346.29596875
transcript.pyannote[1438].speaker SPEAKER_07
transcript.pyannote[1438].start 10346.54909375
transcript.pyannote[1438].end 10349.09721875
transcript.pyannote[1439].speaker SPEAKER_07
transcript.pyannote[1439].start 10350.17721875
transcript.pyannote[1439].end 10352.70846875
transcript.pyannote[1440].speaker SPEAKER_07
transcript.pyannote[1440].start 10353.06284375
transcript.pyannote[1440].end 10357.78784375
transcript.pyannote[1441].speaker SPEAKER_07
transcript.pyannote[1441].start 10358.29409375
transcript.pyannote[1441].end 10358.81721875
transcript.pyannote[1442].speaker SPEAKER_07
transcript.pyannote[1442].start 10358.96909375
transcript.pyannote[1442].end 10365.28034375
transcript.pyannote[1443].speaker SPEAKER_07
transcript.pyannote[1443].start 10365.56721875
transcript.pyannote[1443].end 10366.29284375
transcript.pyannote[1444].speaker SPEAKER_07
transcript.pyannote[1444].start 10366.95096875
transcript.pyannote[1444].end 10369.80284375
transcript.pyannote[1445].speaker SPEAKER_07
transcript.pyannote[1445].start 10370.07284375
transcript.pyannote[1445].end 10371.42284375
transcript.pyannote[1446].speaker SPEAKER_07
transcript.pyannote[1446].start 10371.89534375
transcript.pyannote[1446].end 10372.48596875
transcript.pyannote[1447].speaker SPEAKER_07
transcript.pyannote[1447].start 10372.95846875
transcript.pyannote[1447].end 10374.19034375
transcript.pyannote[1448].speaker SPEAKER_07
transcript.pyannote[1448].start 10374.22409375
transcript.pyannote[1448].end 10377.34596875
transcript.pyannote[1449].speaker SPEAKER_07
transcript.pyannote[1449].start 10377.46409375
transcript.pyannote[1449].end 10382.50971875
transcript.pyannote[1450].speaker SPEAKER_07
transcript.pyannote[1450].start 10382.84721875
transcript.pyannote[1450].end 10384.18034375
transcript.pyannote[1451].speaker SPEAKER_07
transcript.pyannote[1451].start 10384.77096875
transcript.pyannote[1451].end 10385.14221875
transcript.pyannote[1452].speaker SPEAKER_07
transcript.pyannote[1452].start 10385.63159375
transcript.pyannote[1452].end 10388.07846875
transcript.pyannote[1453].speaker SPEAKER_07
transcript.pyannote[1453].start 10388.28096875
transcript.pyannote[1453].end 10400.56596875
transcript.pyannote[1454].speaker SPEAKER_07
transcript.pyannote[1454].start 10400.90346875
transcript.pyannote[1454].end 10401.34221875
transcript.pyannote[1455].speaker SPEAKER_27
transcript.pyannote[1455].start 10401.34221875
transcript.pyannote[1455].end 10401.83159375
transcript.pyannote[1456].speaker SPEAKER_06
transcript.pyannote[1456].start 10401.83159375
transcript.pyannote[1456].end 10402.28721875
transcript.pyannote[1457].speaker SPEAKER_07
transcript.pyannote[1457].start 10402.28721875
transcript.pyannote[1457].end 10402.84409375
transcript.pyannote[1458].speaker SPEAKER_06
transcript.pyannote[1458].start 10406.08409375
transcript.pyannote[1458].end 10412.88471875
transcript.pyannote[1459].speaker SPEAKER_22
transcript.pyannote[1459].start 10420.51221875
transcript.pyannote[1459].end 10425.59159375
transcript.pyannote[1460].speaker SPEAKER_06
transcript.pyannote[1460].start 10425.33846875
transcript.pyannote[1460].end 10429.16909375
transcript.pyannote[1461].speaker SPEAKER_22
transcript.pyannote[1461].start 10437.18471875
transcript.pyannote[1461].end 10437.26909375
transcript.pyannote[1462].speaker SPEAKER_22
transcript.pyannote[1462].start 10437.30284375
transcript.pyannote[1462].end 10451.74784375
transcript.pyannote[1463].speaker SPEAKER_00
transcript.pyannote[1463].start 10440.37409375
transcript.pyannote[1463].end 10440.67784375
transcript.pyannote[1464].speaker SPEAKER_22
transcript.pyannote[1464].start 10452.22034375
transcript.pyannote[1464].end 10460.48909375
transcript.pyannote[1465].speaker SPEAKER_22
transcript.pyannote[1465].start 10460.70846875
transcript.pyannote[1465].end 10467.05346875
transcript.pyannote[1466].speaker SPEAKER_22
transcript.pyannote[1466].start 10467.40784375
transcript.pyannote[1466].end 10470.49596875
transcript.pyannote[1467].speaker SPEAKER_22
transcript.pyannote[1467].start 10470.81659375
transcript.pyannote[1467].end 10528.41096875
transcript.pyannote[1468].speaker SPEAKER_00
transcript.pyannote[1468].start 10487.35409375
transcript.pyannote[1468].end 10487.80971875
transcript.pyannote[1469].speaker SPEAKER_00
transcript.pyannote[1469].start 10516.98659375
transcript.pyannote[1469].end 10517.32409375
transcript.pyannote[1470].speaker SPEAKER_00
transcript.pyannote[1470].start 10520.41221875
transcript.pyannote[1470].end 10520.68221875
transcript.pyannote[1471].speaker SPEAKER_18
transcript.pyannote[1471].start 10528.71471875
transcript.pyannote[1471].end 10553.38596875
transcript.pyannote[1472].speaker SPEAKER_18
transcript.pyannote[1472].start 10553.57159375
transcript.pyannote[1472].end 10584.89159375
transcript.pyannote[1473].speaker SPEAKER_00
transcript.pyannote[1473].start 10558.19534375
transcript.pyannote[1473].end 10558.29659375
transcript.pyannote[1474].speaker SPEAKER_22
transcript.pyannote[1474].start 10584.70596875
transcript.pyannote[1474].end 10589.19471875
transcript.pyannote[1475].speaker SPEAKER_22
transcript.pyannote[1475].start 10589.68409375
transcript.pyannote[1475].end 10593.66659375
transcript.pyannote[1476].speaker SPEAKER_18
transcript.pyannote[1476].start 10590.84846875
transcript.pyannote[1476].end 10590.86534375
transcript.pyannote[1477].speaker SPEAKER_27
transcript.pyannote[1477].start 10590.86534375
transcript.pyannote[1477].end 10591.21971875
transcript.pyannote[1478].speaker SPEAKER_27
transcript.pyannote[1478].start 10591.65846875
transcript.pyannote[1478].end 10591.86096875
transcript.pyannote[1479].speaker SPEAKER_27
transcript.pyannote[1479].start 10594.03784375
transcript.pyannote[1479].end 10602.59346875
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 10602.81284375
transcript.pyannote[1480].end 10631.19659375
transcript.pyannote[1481].speaker SPEAKER_27
transcript.pyannote[1481].start 10604.33159375
transcript.pyannote[1481].end 10604.50034375
transcript.pyannote[1482].speaker SPEAKER_20
transcript.pyannote[1482].start 10624.31159375
transcript.pyannote[1482].end 10624.32846875
transcript.pyannote[1483].speaker SPEAKER_27
transcript.pyannote[1483].start 10624.32846875
transcript.pyannote[1483].end 10624.61534375
transcript.pyannote[1484].speaker SPEAKER_20
transcript.pyannote[1484].start 10624.61534375
transcript.pyannote[1484].end 10624.63221875
transcript.pyannote[1485].speaker SPEAKER_27
transcript.pyannote[1485].start 10631.70284375
transcript.pyannote[1485].end 10640.61284375
transcript.pyannote[1486].speaker SPEAKER_27
transcript.pyannote[1486].start 10640.66346875
transcript.pyannote[1486].end 10642.72221875
transcript.pyannote[1487].speaker SPEAKER_27
transcript.pyannote[1487].start 10642.82346875
transcript.pyannote[1487].end 10665.53721875
transcript.pyannote[1488].speaker SPEAKER_27
transcript.pyannote[1488].start 10666.24596875
transcript.pyannote[1488].end 10709.93534375
transcript.pyannote[1489].speaker SPEAKER_22
transcript.pyannote[1489].start 10710.15471875
transcript.pyannote[1489].end 10716.75284375
transcript.pyannote[1490].speaker SPEAKER_22
transcript.pyannote[1490].start 10717.03971875
transcript.pyannote[1490].end 10719.63846875
transcript.pyannote[1491].speaker SPEAKER_27
transcript.pyannote[1491].start 10719.89159375
transcript.pyannote[1491].end 10741.76159375
transcript.pyannote[1492].speaker SPEAKER_22
transcript.pyannote[1492].start 10742.03159375
transcript.pyannote[1492].end 10748.57909375
transcript.pyannote[1493].speaker SPEAKER_22
transcript.pyannote[1493].start 10749.20346875
transcript.pyannote[1493].end 10753.42221875
transcript.pyannote[1494].speaker SPEAKER_27
transcript.pyannote[1494].start 10753.75971875
transcript.pyannote[1494].end 10761.64034375
transcript.pyannote[1495].speaker SPEAKER_22
transcript.pyannote[1495].start 10761.84284375
transcript.pyannote[1495].end 10773.55409375
transcript.pyannote[1496].speaker SPEAKER_27
transcript.pyannote[1496].start 10773.67221875
transcript.pyannote[1496].end 10773.95909375
transcript.pyannote[1497].speaker SPEAKER_27
transcript.pyannote[1497].start 10774.14471875
transcript.pyannote[1497].end 10795.06971875
transcript.pyannote[1498].speaker SPEAKER_22
transcript.pyannote[1498].start 10795.28909375
transcript.pyannote[1498].end 10805.56596875
transcript.pyannote[1499].speaker SPEAKER_22
transcript.pyannote[1499].start 10805.63346875
transcript.pyannote[1499].end 10812.51846875
transcript.pyannote[1500].speaker SPEAKER_27
transcript.pyannote[1500].start 10812.67034375
transcript.pyannote[1500].end 10815.94409375
transcript.pyannote[1501].speaker SPEAKER_22
transcript.pyannote[1501].start 10812.80534375
transcript.pyannote[1501].end 10812.97409375
transcript.pyannote[1502].speaker SPEAKER_22
transcript.pyannote[1502].start 10815.31971875
transcript.pyannote[1502].end 10826.65971875
transcript.pyannote[1503].speaker SPEAKER_22
transcript.pyannote[1503].start 10826.89596875
transcript.pyannote[1503].end 10880.82846875
transcript.pyannote[1504].speaker SPEAKER_20
transcript.pyannote[1504].start 10872.94784375
transcript.pyannote[1504].end 10873.35284375
transcript.pyannote[1505].speaker SPEAKER_18
transcript.pyannote[1505].start 10880.92971875
transcript.pyannote[1505].end 10908.26721875
transcript.pyannote[1506].speaker SPEAKER_22
transcript.pyannote[1506].start 10885.62096875
transcript.pyannote[1506].end 10885.85721875
transcript.pyannote[1507].speaker SPEAKER_22
transcript.pyannote[1507].start 10908.52034375
transcript.pyannote[1507].end 10914.22409375
transcript.pyannote[1508].speaker SPEAKER_18
transcript.pyannote[1508].start 10909.93784375
transcript.pyannote[1508].end 10910.30909375
transcript.pyannote[1509].speaker SPEAKER_22
transcript.pyannote[1509].start 10914.66284375
transcript.pyannote[1509].end 10918.89846875
transcript.pyannote[1510].speaker SPEAKER_22
transcript.pyannote[1510].start 10919.16846875
transcript.pyannote[1510].end 10920.11346875
transcript.pyannote[1511].speaker SPEAKER_18
transcript.pyannote[1511].start 10919.94471875
transcript.pyannote[1511].end 10924.77096875
transcript.pyannote[1512].speaker SPEAKER_22
transcript.pyannote[1512].start 10924.63596875
transcript.pyannote[1512].end 10924.93971875
transcript.pyannote[1513].speaker SPEAKER_20
transcript.pyannote[1513].start 10924.77096875
transcript.pyannote[1513].end 10924.80471875
transcript.pyannote[1514].speaker SPEAKER_20
transcript.pyannote[1514].start 10924.93971875
transcript.pyannote[1514].end 10924.95659375
transcript.pyannote[1515].speaker SPEAKER_18
transcript.pyannote[1515].start 10924.93971875
transcript.pyannote[1515].end 10954.25159375
transcript.pyannote[1516].speaker SPEAKER_22
transcript.pyannote[1516].start 10954.42034375
transcript.pyannote[1516].end 10963.81971875
transcript.pyannote[1517].speaker SPEAKER_18
transcript.pyannote[1517].start 10964.08971875
transcript.pyannote[1517].end 10990.54971875
transcript.pyannote[1518].speaker SPEAKER_22
transcript.pyannote[1518].start 10990.85346875
transcript.pyannote[1518].end 10998.80159375
transcript.pyannote[1519].speaker SPEAKER_18
transcript.pyannote[1519].start 10991.15721875
transcript.pyannote[1519].end 10991.52846875
transcript.pyannote[1520].speaker SPEAKER_22
transcript.pyannote[1520].start 10998.90284375
transcript.pyannote[1520].end 10999.98284375
transcript.pyannote[1521].speaker SPEAKER_22
transcript.pyannote[1521].start 11000.11784375
transcript.pyannote[1521].end 11005.70346875
transcript.pyannote[1522].speaker SPEAKER_22
transcript.pyannote[1522].start 11005.93971875
transcript.pyannote[1522].end 11011.81221875
transcript.pyannote[1523].speaker SPEAKER_18
transcript.pyannote[1523].start 11011.86284375
transcript.pyannote[1523].end 11014.15784375
transcript.pyannote[1524].speaker SPEAKER_18
transcript.pyannote[1524].start 11014.56284375
transcript.pyannote[1524].end 11015.03534375
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 11015.03534375
transcript.pyannote[1525].end 11015.45721875
transcript.pyannote[1526].speaker SPEAKER_06
transcript.pyannote[1526].start 11015.89596875
transcript.pyannote[1526].end 11022.94971875
transcript.pyannote[1527].speaker SPEAKER_09
transcript.pyannote[1527].start 11035.53846875
transcript.pyannote[1527].end 11039.57159375
transcript.pyannote[1528].speaker SPEAKER_09
transcript.pyannote[1528].start 11040.36471875
transcript.pyannote[1528].end 11040.76971875
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 11040.82034375
transcript.pyannote[1529].end 11042.15346875
transcript.pyannote[1530].speaker SPEAKER_09
transcript.pyannote[1530].start 11042.54159375
transcript.pyannote[1530].end 11045.19096875
transcript.pyannote[1531].speaker SPEAKER_06
transcript.pyannote[1531].start 11045.19096875
transcript.pyannote[1531].end 11045.84909375
transcript.pyannote[1532].speaker SPEAKER_09
transcript.pyannote[1532].start 11045.84909375
transcript.pyannote[1532].end 11051.67096875
transcript.pyannote[1533].speaker SPEAKER_06
transcript.pyannote[1533].start 11049.34221875
transcript.pyannote[1533].end 11049.67971875
transcript.pyannote[1534].speaker SPEAKER_09
transcript.pyannote[1534].start 11052.22784375
transcript.pyannote[1534].end 11053.91534375
transcript.pyannote[1535].speaker SPEAKER_09
transcript.pyannote[1535].start 11054.64096875
transcript.pyannote[1535].end 11058.03284375
transcript.pyannote[1536].speaker SPEAKER_09
transcript.pyannote[1536].start 11059.95659375
transcript.pyannote[1536].end 11060.74971875
transcript.pyannote[1537].speaker SPEAKER_09
transcript.pyannote[1537].start 11060.95221875
transcript.pyannote[1537].end 11061.39096875
transcript.pyannote[1538].speaker SPEAKER_09
transcript.pyannote[1538].start 11063.43284375
transcript.pyannote[1538].end 11065.77846875
transcript.pyannote[1539].speaker SPEAKER_09
transcript.pyannote[1539].start 11067.44909375
transcript.pyannote[1539].end 11070.08159375
transcript.pyannote[1540].speaker SPEAKER_09
transcript.pyannote[1540].start 11071.29659375
transcript.pyannote[1540].end 11073.25409375
transcript.pyannote[1541].speaker SPEAKER_09
transcript.pyannote[1541].start 11073.47346875
transcript.pyannote[1541].end 11074.68846875
transcript.pyannote[1542].speaker SPEAKER_09
transcript.pyannote[1542].start 11075.12721875
transcript.pyannote[1542].end 11075.86971875
transcript.pyannote[1543].speaker SPEAKER_09
transcript.pyannote[1543].start 11076.84846875
transcript.pyannote[1543].end 11077.57409375
transcript.pyannote[1544].speaker SPEAKER_09
transcript.pyannote[1544].start 11077.94534375
transcript.pyannote[1544].end 11078.73846875
transcript.pyannote[1545].speaker SPEAKER_09
transcript.pyannote[1545].start 11079.16034375
transcript.pyannote[1545].end 11081.75909375
transcript.pyannote[1546].speaker SPEAKER_09
transcript.pyannote[1546].start 11082.13034375
transcript.pyannote[1546].end 11098.27971875
transcript.pyannote[1547].speaker SPEAKER_09
transcript.pyannote[1547].start 11098.97159375
transcript.pyannote[1547].end 11099.32596875
transcript.pyannote[1548].speaker SPEAKER_09
transcript.pyannote[1548].start 11100.18659375
transcript.pyannote[1548].end 11101.62096875
transcript.pyannote[1549].speaker SPEAKER_09
transcript.pyannote[1549].start 11102.38034375
transcript.pyannote[1549].end 11102.92034375
transcript.pyannote[1550].speaker SPEAKER_09
transcript.pyannote[1550].start 11103.98346875
transcript.pyannote[1550].end 11123.74409375
transcript.pyannote[1551].speaker SPEAKER_09
transcript.pyannote[1551].start 11123.99721875
transcript.pyannote[1551].end 11125.58346875
transcript.pyannote[1552].speaker SPEAKER_09
transcript.pyannote[1552].start 11125.80284375
transcript.pyannote[1552].end 11131.28721875
transcript.pyannote[1553].speaker SPEAKER_09
transcript.pyannote[1553].start 11131.50659375
transcript.pyannote[1553].end 11134.47659375
transcript.pyannote[1554].speaker SPEAKER_09
transcript.pyannote[1554].start 11135.26971875
transcript.pyannote[1554].end 11137.56471875
transcript.pyannote[1555].speaker SPEAKER_09
transcript.pyannote[1555].start 11137.78409375
transcript.pyannote[1555].end 11139.65721875
transcript.pyannote[1556].speaker SPEAKER_09
transcript.pyannote[1556].start 11140.01159375
transcript.pyannote[1556].end 11140.45034375
transcript.pyannote[1557].speaker SPEAKER_09
transcript.pyannote[1557].start 11140.56846875
transcript.pyannote[1557].end 11141.54721875
transcript.pyannote[1558].speaker SPEAKER_09
transcript.pyannote[1558].start 11141.88471875
transcript.pyannote[1558].end 11142.17159375
transcript.pyannote[1559].speaker SPEAKER_09
transcript.pyannote[1559].start 11142.42471875
transcript.pyannote[1559].end 11148.75284375
transcript.pyannote[1560].speaker SPEAKER_09
transcript.pyannote[1560].start 11148.90471875
transcript.pyannote[1560].end 11150.03534375
transcript.pyannote[1561].speaker SPEAKER_09
transcript.pyannote[1561].start 11150.17034375
transcript.pyannote[1561].end 11156.05971875
transcript.pyannote[1562].speaker SPEAKER_09
transcript.pyannote[1562].start 11156.16096875
transcript.pyannote[1562].end 11157.96659375
transcript.pyannote[1563].speaker SPEAKER_09
transcript.pyannote[1563].start 11158.25346875
transcript.pyannote[1563].end 11159.29971875
transcript.pyannote[1564].speaker SPEAKER_09
transcript.pyannote[1564].start 11160.43034375
transcript.pyannote[1564].end 11162.64096875
transcript.pyannote[1565].speaker SPEAKER_09
transcript.pyannote[1565].start 11163.97409375
transcript.pyannote[1565].end 11163.99096875
transcript.pyannote[1566].speaker SPEAKER_27
transcript.pyannote[1566].start 11163.99096875
transcript.pyannote[1566].end 11164.36221875
transcript.pyannote[1567].speaker SPEAKER_09
transcript.pyannote[1567].start 11164.05846875
transcript.pyannote[1567].end 11165.03721875
transcript.pyannote[1568].speaker SPEAKER_27
transcript.pyannote[1568].start 11165.03721875
transcript.pyannote[1568].end 11165.08784375
transcript.pyannote[1569].speaker SPEAKER_27
transcript.pyannote[1569].start 11165.39159375
transcript.pyannote[1569].end 11178.65534375
transcript.pyannote[1570].speaker SPEAKER_27
transcript.pyannote[1570].start 11178.73971875
transcript.pyannote[1570].end 11184.64596875
transcript.pyannote[1571].speaker SPEAKER_27
transcript.pyannote[1571].start 11185.16909375
transcript.pyannote[1571].end 11194.92284375
transcript.pyannote[1572].speaker SPEAKER_27
transcript.pyannote[1572].start 11195.46284375
transcript.pyannote[1572].end 11216.01659375
transcript.pyannote[1573].speaker SPEAKER_09
transcript.pyannote[1573].start 11216.01659375
transcript.pyannote[1573].end 11216.03346875
transcript.pyannote[1574].speaker SPEAKER_27
transcript.pyannote[1574].start 11216.62409375
transcript.pyannote[1574].end 11216.97846875
transcript.pyannote[1575].speaker SPEAKER_09
transcript.pyannote[1575].start 11216.97846875
transcript.pyannote[1575].end 11217.04596875
transcript.pyannote[1576].speaker SPEAKER_09
transcript.pyannote[1576].start 11217.63659375
transcript.pyannote[1576].end 11235.77721875
transcript.pyannote[1577].speaker SPEAKER_09
transcript.pyannote[1577].start 11236.16534375
transcript.pyannote[1577].end 11249.02409375
transcript.pyannote[1578].speaker SPEAKER_27
transcript.pyannote[1578].start 11249.02409375
transcript.pyannote[1578].end 11274.06659375
transcript.pyannote[1579].speaker SPEAKER_09
transcript.pyannote[1579].start 11272.46346875
transcript.pyannote[1579].end 11273.79659375
transcript.pyannote[1580].speaker SPEAKER_09
transcript.pyannote[1580].start 11274.06659375
transcript.pyannote[1580].end 11274.69096875
transcript.pyannote[1581].speaker SPEAKER_27
transcript.pyannote[1581].start 11274.69096875
transcript.pyannote[1581].end 11274.97784375
transcript.pyannote[1582].speaker SPEAKER_09
transcript.pyannote[1582].start 11274.97784375
transcript.pyannote[1582].end 11281.81221875
transcript.pyannote[1583].speaker SPEAKER_27
transcript.pyannote[1583].start 11275.26471875
transcript.pyannote[1583].end 11275.97346875
transcript.pyannote[1584].speaker SPEAKER_09
transcript.pyannote[1584].start 11281.89659375
transcript.pyannote[1584].end 11287.81971875
transcript.pyannote[1585].speaker SPEAKER_09
transcript.pyannote[1585].start 11288.37659375
transcript.pyannote[1585].end 11292.81471875
transcript.pyannote[1586].speaker SPEAKER_09
transcript.pyannote[1586].start 11293.18596875
transcript.pyannote[1586].end 11298.56909375
transcript.pyannote[1587].speaker SPEAKER_09
transcript.pyannote[1587].start 11298.78846875
transcript.pyannote[1587].end 11302.09596875
transcript.pyannote[1588].speaker SPEAKER_09
transcript.pyannote[1588].start 11302.11284375
transcript.pyannote[1588].end 11306.21346875
transcript.pyannote[1589].speaker SPEAKER_09
transcript.pyannote[1589].start 11306.61846875
transcript.pyannote[1589].end 11333.02784375
transcript.pyannote[1590].speaker SPEAKER_09
transcript.pyannote[1590].start 11333.41596875
transcript.pyannote[1590].end 11342.71409375
transcript.pyannote[1591].speaker SPEAKER_09
transcript.pyannote[1591].start 11343.69284375
transcript.pyannote[1591].end 11345.49846875
transcript.pyannote[1592].speaker SPEAKER_09
transcript.pyannote[1592].start 11346.20721875
transcript.pyannote[1592].end 11355.52221875
transcript.pyannote[1593].speaker SPEAKER_09
transcript.pyannote[1593].start 11355.75846875
transcript.pyannote[1593].end 11358.93096875
transcript.pyannote[1594].speaker SPEAKER_09
transcript.pyannote[1594].start 11359.80846875
transcript.pyannote[1594].end 11361.09096875
transcript.pyannote[1595].speaker SPEAKER_09
transcript.pyannote[1595].start 11361.25971875
transcript.pyannote[1595].end 11362.17096875
transcript.pyannote[1596].speaker SPEAKER_27
transcript.pyannote[1596].start 11361.59721875
transcript.pyannote[1596].end 11361.71534375
transcript.pyannote[1597].speaker SPEAKER_27
transcript.pyannote[1597].start 11362.12034375
transcript.pyannote[1597].end 11362.13721875
transcript.pyannote[1598].speaker SPEAKER_27
transcript.pyannote[1598].start 11362.15409375
transcript.pyannote[1598].end 11376.02534375
transcript.pyannote[1599].speaker SPEAKER_09
transcript.pyannote[1599].start 11362.39034375
transcript.pyannote[1599].end 11362.91346875
transcript.pyannote[1600].speaker SPEAKER_27
transcript.pyannote[1600].start 11376.41346875
transcript.pyannote[1600].end 11380.83471875
transcript.pyannote[1601].speaker SPEAKER_27
transcript.pyannote[1601].start 11381.62784375
transcript.pyannote[1601].end 11387.97284375
transcript.pyannote[1602].speaker SPEAKER_09
transcript.pyannote[1602].start 11387.97284375
transcript.pyannote[1602].end 11406.23159375
transcript.pyannote[1603].speaker SPEAKER_09
transcript.pyannote[1603].start 11406.73784375
transcript.pyannote[1603].end 11407.90221875
transcript.pyannote[1604].speaker SPEAKER_09
transcript.pyannote[1604].start 11408.42534375
transcript.pyannote[1604].end 11409.80909375
transcript.pyannote[1605].speaker SPEAKER_09
transcript.pyannote[1605].start 11410.45034375
transcript.pyannote[1605].end 11428.32096875
transcript.pyannote[1606].speaker SPEAKER_09
transcript.pyannote[1606].start 11428.47284375
transcript.pyannote[1606].end 11430.61596875
transcript.pyannote[1607].speaker SPEAKER_09
transcript.pyannote[1607].start 11430.88596875
transcript.pyannote[1607].end 11435.96534375
transcript.pyannote[1608].speaker SPEAKER_27
transcript.pyannote[1608].start 11435.96534375
transcript.pyannote[1608].end 11437.97346875
transcript.pyannote[1609].speaker SPEAKER_09
transcript.pyannote[1609].start 11437.97346875
transcript.pyannote[1609].end 11438.17596875
transcript.pyannote[1610].speaker SPEAKER_27
transcript.pyannote[1610].start 11438.17596875
transcript.pyannote[1610].end 11438.19284375
transcript.pyannote[1611].speaker SPEAKER_27
transcript.pyannote[1611].start 11438.59784375
transcript.pyannote[1611].end 11438.61471875
transcript.pyannote[1612].speaker SPEAKER_09
transcript.pyannote[1612].start 11438.61471875
transcript.pyannote[1612].end 11440.50471875
transcript.pyannote[1613].speaker SPEAKER_09
transcript.pyannote[1613].start 11441.70284375
transcript.pyannote[1613].end 11443.27221875
transcript.pyannote[1614].speaker SPEAKER_09
transcript.pyannote[1614].start 11444.01471875
transcript.pyannote[1614].end 11447.47409375
transcript.pyannote[1615].speaker SPEAKER_09
transcript.pyannote[1615].start 11447.94659375
transcript.pyannote[1615].end 11450.20784375
transcript.pyannote[1616].speaker SPEAKER_09
transcript.pyannote[1616].start 11450.34284375
transcript.pyannote[1616].end 11452.67159375
transcript.pyannote[1617].speaker SPEAKER_09
transcript.pyannote[1617].start 11453.09346875
transcript.pyannote[1617].end 11453.90346875
transcript.pyannote[1618].speaker SPEAKER_09
transcript.pyannote[1618].start 11454.35909375
transcript.pyannote[1618].end 11461.58159375
transcript.pyannote[1619].speaker SPEAKER_09
transcript.pyannote[1619].start 11462.29034375
transcript.pyannote[1619].end 11463.75846875
transcript.pyannote[1620].speaker SPEAKER_09
transcript.pyannote[1620].start 11464.12971875
transcript.pyannote[1620].end 11465.09159375
transcript.pyannote[1621].speaker SPEAKER_09
transcript.pyannote[1621].start 11465.66534375
transcript.pyannote[1621].end 11466.93096875
transcript.pyannote[1622].speaker SPEAKER_09
transcript.pyannote[1622].start 11467.72409375
transcript.pyannote[1622].end 11469.14159375
transcript.pyannote[1623].speaker SPEAKER_09
transcript.pyannote[1623].start 11469.74909375
transcript.pyannote[1623].end 11473.41096875
transcript.pyannote[1624].speaker SPEAKER_09
transcript.pyannote[1624].start 11473.91721875
transcript.pyannote[1624].end 11479.06409375
transcript.pyannote[1625].speaker SPEAKER_09
transcript.pyannote[1625].start 11479.26659375
transcript.pyannote[1625].end 11480.88659375
transcript.pyannote[1626].speaker SPEAKER_09
transcript.pyannote[1626].start 11481.08909375
transcript.pyannote[1626].end 11484.22784375
transcript.pyannote[1627].speaker SPEAKER_09
transcript.pyannote[1627].start 11484.73409375
transcript.pyannote[1627].end 11486.35409375
transcript.pyannote[1628].speaker SPEAKER_09
transcript.pyannote[1628].start 11486.64096875
transcript.pyannote[1628].end 11488.91909375
transcript.pyannote[1629].speaker SPEAKER_09
transcript.pyannote[1629].start 11489.59409375
transcript.pyannote[1629].end 11491.14659375
transcript.pyannote[1630].speaker SPEAKER_09
transcript.pyannote[1630].start 11491.72034375
transcript.pyannote[1630].end 11493.34034375
transcript.pyannote[1631].speaker SPEAKER_09
transcript.pyannote[1631].start 11493.45846875
transcript.pyannote[1631].end 11494.80846875
transcript.pyannote[1632].speaker SPEAKER_09
transcript.pyannote[1632].start 11494.87596875
transcript.pyannote[1632].end 11496.10784375
transcript.pyannote[1633].speaker SPEAKER_09
transcript.pyannote[1633].start 11496.56346875
transcript.pyannote[1633].end 11497.67721875
transcript.pyannote[1634].speaker SPEAKER_09
transcript.pyannote[1634].start 11497.89659375
transcript.pyannote[1634].end 11501.86221875
transcript.pyannote[1635].speaker SPEAKER_09
transcript.pyannote[1635].start 11502.43596875
transcript.pyannote[1635].end 11503.31346875
transcript.pyannote[1636].speaker SPEAKER_09
transcript.pyannote[1636].start 11503.81971875
transcript.pyannote[1636].end 11504.79846875
transcript.pyannote[1637].speaker SPEAKER_09
transcript.pyannote[1637].start 11504.98409375
transcript.pyannote[1637].end 11518.26471875
transcript.pyannote[1638].speaker SPEAKER_09
transcript.pyannote[1638].start 11518.65284375
transcript.pyannote[1638].end 11526.02721875
transcript.pyannote[1639].speaker SPEAKER_09
transcript.pyannote[1639].start 11526.11159375
transcript.pyannote[1639].end 11527.59659375
transcript.pyannote[1640].speaker SPEAKER_09
transcript.pyannote[1640].start 11528.05221875
transcript.pyannote[1640].end 11529.04784375
transcript.pyannote[1641].speaker SPEAKER_09
transcript.pyannote[1641].start 11529.25034375
transcript.pyannote[1641].end 11544.40409375
transcript.pyannote[1642].speaker SPEAKER_09
transcript.pyannote[1642].start 11544.92721875
transcript.pyannote[1642].end 11545.39971875
transcript.pyannote[1643].speaker SPEAKER_09
transcript.pyannote[1643].start 11545.87221875
transcript.pyannote[1643].end 11546.39534375
transcript.pyannote[1644].speaker SPEAKER_09
transcript.pyannote[1644].start 11547.20534375
transcript.pyannote[1644].end 11548.16721875
transcript.pyannote[1645].speaker SPEAKER_09
transcript.pyannote[1645].start 11548.30221875
transcript.pyannote[1645].end 11549.29784375
transcript.pyannote[1646].speaker SPEAKER_09
transcript.pyannote[1646].start 11549.68596875
transcript.pyannote[1646].end 11550.88409375
transcript.pyannote[1647].speaker SPEAKER_09
transcript.pyannote[1647].start 11551.30596875
transcript.pyannote[1647].end 11553.80346875
transcript.pyannote[1648].speaker SPEAKER_09
transcript.pyannote[1648].start 11554.15784375
transcript.pyannote[1648].end 11555.76096875
transcript.pyannote[1649].speaker SPEAKER_09
transcript.pyannote[1649].start 11556.30096875
transcript.pyannote[1649].end 11558.83221875
transcript.pyannote[1650].speaker SPEAKER_09
transcript.pyannote[1650].start 11559.22034375
transcript.pyannote[1650].end 11562.39284375
transcript.pyannote[1651].speaker SPEAKER_09
transcript.pyannote[1651].start 11562.89909375
transcript.pyannote[1651].end 11564.38409375
transcript.pyannote[1652].speaker SPEAKER_09
transcript.pyannote[1652].start 11564.87346875
transcript.pyannote[1652].end 11566.57784375
transcript.pyannote[1653].speaker SPEAKER_09
transcript.pyannote[1653].start 11567.23596875
transcript.pyannote[1653].end 11568.99096875
transcript.pyannote[1654].speaker SPEAKER_09
transcript.pyannote[1654].start 11569.22721875
transcript.pyannote[1654].end 11570.40846875
transcript.pyannote[1655].speaker SPEAKER_09
transcript.pyannote[1655].start 11570.88096875
transcript.pyannote[1655].end 11572.33221875
transcript.pyannote[1656].speaker SPEAKER_09
transcript.pyannote[1656].start 11572.75409375
transcript.pyannote[1656].end 11590.74284375
transcript.pyannote[1657].speaker SPEAKER_09
transcript.pyannote[1657].start 11591.04659375
transcript.pyannote[1657].end 11611.63409375
transcript.pyannote[1658].speaker SPEAKER_27
transcript.pyannote[1658].start 11611.63409375
transcript.pyannote[1658].end 11611.65096875
transcript.pyannote[1659].speaker SPEAKER_09
transcript.pyannote[1659].start 11612.52846875
transcript.pyannote[1659].end 11612.54534375
transcript.pyannote[1660].speaker SPEAKER_27
transcript.pyannote[1660].start 11612.54534375
transcript.pyannote[1660].end 11641.90784375
transcript.pyannote[1661].speaker SPEAKER_27
transcript.pyannote[1661].start 11642.22846875
transcript.pyannote[1661].end 11685.25971875
transcript.pyannote[1662].speaker SPEAKER_00
transcript.pyannote[1662].start 11645.24909375
transcript.pyannote[1662].end 11645.29971875
transcript.pyannote[1663].speaker SPEAKER_27
transcript.pyannote[1663].start 11685.86721875
transcript.pyannote[1663].end 11697.13971875
transcript.pyannote[1664].speaker SPEAKER_27
transcript.pyannote[1664].start 11697.66284375
transcript.pyannote[1664].end 11700.88596875
transcript.pyannote[1665].speaker SPEAKER_09
transcript.pyannote[1665].start 11701.83096875
transcript.pyannote[1665].end 11707.75409375
transcript.pyannote[1666].speaker SPEAKER_09
transcript.pyannote[1666].start 11707.78784375
transcript.pyannote[1666].end 11707.80471875
transcript.pyannote[1667].speaker SPEAKER_09
transcript.pyannote[1667].start 11707.92284375
transcript.pyannote[1667].end 11727.61596875
transcript.pyannote[1668].speaker SPEAKER_09
transcript.pyannote[1668].start 11727.88596875
transcript.pyannote[1668].end 11746.27971875
transcript.pyannote[1669].speaker SPEAKER_09
transcript.pyannote[1669].start 11746.80284375
transcript.pyannote[1669].end 11760.37034375
transcript.pyannote[1670].speaker SPEAKER_06
transcript.pyannote[1670].start 11760.37034375
transcript.pyannote[1670].end 11760.40409375
transcript.pyannote[1671].speaker SPEAKER_09
transcript.pyannote[1671].start 11760.64034375
transcript.pyannote[1671].end 11760.69096875
transcript.pyannote[1672].speaker SPEAKER_06
transcript.pyannote[1672].start 11760.69096875
transcript.pyannote[1672].end 11761.28159375
transcript.pyannote[1673].speaker SPEAKER_06
transcript.pyannote[1673].start 11762.24346875
transcript.pyannote[1673].end 11764.96034375
transcript.pyannote[1674].speaker SPEAKER_06
transcript.pyannote[1674].start 11765.53409375
transcript.pyannote[1674].end 11769.14534375
transcript.pyannote[1675].speaker SPEAKER_02
transcript.pyannote[1675].start 11778.17346875
transcript.pyannote[1675].end 11778.94971875
transcript.pyannote[1676].speaker SPEAKER_16
transcript.pyannote[1676].start 11782.69596875
transcript.pyannote[1676].end 11787.31971875
transcript.pyannote[1677].speaker SPEAKER_06
transcript.pyannote[1677].start 11789.02409375
transcript.pyannote[1677].end 11790.57659375
transcript.pyannote[1678].speaker SPEAKER_16
transcript.pyannote[1678].start 11792.61846875
transcript.pyannote[1678].end 11793.04034375
transcript.pyannote[1679].speaker SPEAKER_16
transcript.pyannote[1679].start 11793.91784375
transcript.pyannote[1679].end 11805.17346875
transcript.pyannote[1680].speaker SPEAKER_16
transcript.pyannote[1680].start 11805.64596875
transcript.pyannote[1680].end 11815.28159375
transcript.pyannote[1681].speaker SPEAKER_16
transcript.pyannote[1681].start 11815.70346875
transcript.pyannote[1681].end 11818.01534375
transcript.pyannote[1682].speaker SPEAKER_16
transcript.pyannote[1682].start 11818.23471875
transcript.pyannote[1682].end 11820.29346875
transcript.pyannote[1683].speaker SPEAKER_27
transcript.pyannote[1683].start 11820.86721875
transcript.pyannote[1683].end 11823.73596875
transcript.pyannote[1684].speaker SPEAKER_27
transcript.pyannote[1684].start 11824.14096875
transcript.pyannote[1684].end 11824.59659375
transcript.pyannote[1685].speaker SPEAKER_16
transcript.pyannote[1685].start 11824.86659375
transcript.pyannote[1685].end 11838.60284375
transcript.pyannote[1686].speaker SPEAKER_16
transcript.pyannote[1686].start 11839.02471875
transcript.pyannote[1686].end 11856.43971875
transcript.pyannote[1687].speaker SPEAKER_16
transcript.pyannote[1687].start 11856.92909375
transcript.pyannote[1687].end 11858.58284375
transcript.pyannote[1688].speaker SPEAKER_16
transcript.pyannote[1688].start 11859.34221875
transcript.pyannote[1688].end 11860.52346875
transcript.pyannote[1689].speaker SPEAKER_16
transcript.pyannote[1689].start 11860.87784375
transcript.pyannote[1689].end 11869.33221875
transcript.pyannote[1690].speaker SPEAKER_16
transcript.pyannote[1690].start 11869.60221875
transcript.pyannote[1690].end 11871.47534375
transcript.pyannote[1691].speaker SPEAKER_27
transcript.pyannote[1691].start 11869.63596875
transcript.pyannote[1691].end 11873.31471875
transcript.pyannote[1692].speaker SPEAKER_02
transcript.pyannote[1692].start 11872.92659375
transcript.pyannote[1692].end 11873.21346875
transcript.pyannote[1693].speaker SPEAKER_02
transcript.pyannote[1693].start 11874.46221875
transcript.pyannote[1693].end 11902.25534375
transcript.pyannote[1694].speaker SPEAKER_20
transcript.pyannote[1694].start 11883.45659375
transcript.pyannote[1694].end 11883.47346875
transcript.pyannote[1695].speaker SPEAKER_14
transcript.pyannote[1695].start 11883.47346875
transcript.pyannote[1695].end 11884.01346875
transcript.pyannote[1696].speaker SPEAKER_14
transcript.pyannote[1696].start 11885.39721875
transcript.pyannote[1696].end 11885.71784375
transcript.pyannote[1697].speaker SPEAKER_02
transcript.pyannote[1697].start 11902.30596875
transcript.pyannote[1697].end 11914.42221875
transcript.pyannote[1698].speaker SPEAKER_11
transcript.pyannote[1698].start 11909.78159375
transcript.pyannote[1698].end 11911.63784375
transcript.pyannote[1699].speaker SPEAKER_02
transcript.pyannote[1699].start 11914.50659375
transcript.pyannote[1699].end 11918.52284375
transcript.pyannote[1700].speaker SPEAKER_02
transcript.pyannote[1700].start 11918.80971875
transcript.pyannote[1700].end 11920.17659375
transcript.pyannote[1701].speaker SPEAKER_02
transcript.pyannote[1701].start 11920.61534375
transcript.pyannote[1701].end 11922.15096875
transcript.pyannote[1702].speaker SPEAKER_02
transcript.pyannote[1702].start 11922.28596875
transcript.pyannote[1702].end 11923.26471875
transcript.pyannote[1703].speaker SPEAKER_02
transcript.pyannote[1703].start 11923.53471875
transcript.pyannote[1703].end 11924.80034375
transcript.pyannote[1704].speaker SPEAKER_02
transcript.pyannote[1704].start 11925.25596875
transcript.pyannote[1704].end 11927.34846875
transcript.pyannote[1705].speaker SPEAKER_02
transcript.pyannote[1705].start 11927.55096875
transcript.pyannote[1705].end 11937.11909375
transcript.pyannote[1706].speaker SPEAKER_02
transcript.pyannote[1706].start 11937.23721875
transcript.pyannote[1706].end 11948.84721875
transcript.pyannote[1707].speaker SPEAKER_16
transcript.pyannote[1707].start 11948.84721875
transcript.pyannote[1707].end 11957.25096875
transcript.pyannote[1708].speaker SPEAKER_02
transcript.pyannote[1708].start 11948.88096875
transcript.pyannote[1708].end 11951.10846875
transcript.pyannote[1709].speaker SPEAKER_16
transcript.pyannote[1709].start 11957.68971875
transcript.pyannote[1709].end 11962.49909375
transcript.pyannote[1710].speaker SPEAKER_16
transcript.pyannote[1710].start 11963.29221875
transcript.pyannote[1710].end 11965.33409375
transcript.pyannote[1711].speaker SPEAKER_16
transcript.pyannote[1711].start 11965.90784375
transcript.pyannote[1711].end 11966.36346875
transcript.pyannote[1712].speaker SPEAKER_16
transcript.pyannote[1712].start 11966.93721875
transcript.pyannote[1712].end 11978.31096875
transcript.pyannote[1713].speaker SPEAKER_02
transcript.pyannote[1713].start 11977.33221875
transcript.pyannote[1713].end 11977.97346875
transcript.pyannote[1714].speaker SPEAKER_06
transcript.pyannote[1714].start 11977.97346875
transcript.pyannote[1714].end 11977.99034375
transcript.pyannote[1715].speaker SPEAKER_16
transcript.pyannote[1715].start 11979.39096875
transcript.pyannote[1715].end 11987.03534375
transcript.pyannote[1716].speaker SPEAKER_02
transcript.pyannote[1716].start 11983.30596875
transcript.pyannote[1716].end 11983.44096875
transcript.pyannote[1717].speaker SPEAKER_02
transcript.pyannote[1717].start 11987.03534375
transcript.pyannote[1717].end 12006.34034375
transcript.pyannote[1718].speaker SPEAKER_02
transcript.pyannote[1718].start 12006.57659375
transcript.pyannote[1718].end 12008.06159375
transcript.pyannote[1719].speaker SPEAKER_02
transcript.pyannote[1719].start 12008.39909375
transcript.pyannote[1719].end 12016.12784375
transcript.pyannote[1720].speaker SPEAKER_27
transcript.pyannote[1720].start 12016.12784375
transcript.pyannote[1720].end 12016.31346875
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 12016.31346875
transcript.pyannote[1721].end 12016.41471875
transcript.pyannote[1722].speaker SPEAKER_27
transcript.pyannote[1722].start 12016.41471875
transcript.pyannote[1722].end 12016.44846875
transcript.pyannote[1723].speaker SPEAKER_27
transcript.pyannote[1723].start 12016.60034375
transcript.pyannote[1723].end 12039.24659375
transcript.pyannote[1724].speaker SPEAKER_16
transcript.pyannote[1724].start 12037.45784375
transcript.pyannote[1724].end 12044.84909375
transcript.pyannote[1725].speaker SPEAKER_16
transcript.pyannote[1725].start 12045.79409375
transcript.pyannote[1725].end 12046.46909375
transcript.pyannote[1726].speaker SPEAKER_16
transcript.pyannote[1726].start 12047.58284375
transcript.pyannote[1726].end 12048.12284375
transcript.pyannote[1727].speaker SPEAKER_16
transcript.pyannote[1727].start 12048.81471875
transcript.pyannote[1727].end 12049.40534375
transcript.pyannote[1728].speaker SPEAKER_16
transcript.pyannote[1728].start 12050.51909375
transcript.pyannote[1728].end 12051.17721875
transcript.pyannote[1729].speaker SPEAKER_16
transcript.pyannote[1729].start 12051.64971875
transcript.pyannote[1729].end 12057.50534375
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 12058.48409375
transcript.pyannote[1730].end 12060.12096875
transcript.pyannote[1731].speaker SPEAKER_02
transcript.pyannote[1731].start 12060.23909375
transcript.pyannote[1731].end 12066.22971875
transcript.pyannote[1732].speaker SPEAKER_02
transcript.pyannote[1732].start 12066.55034375
transcript.pyannote[1732].end 12067.83284375
transcript.pyannote[1733].speaker SPEAKER_02
transcript.pyannote[1733].start 12068.23784375
transcript.pyannote[1733].end 12073.60409375
transcript.pyannote[1734].speaker SPEAKER_16
transcript.pyannote[1734].start 12073.55346875
transcript.pyannote[1734].end 12083.39159375
transcript.pyannote[1735].speaker SPEAKER_16
transcript.pyannote[1735].start 12083.84721875
transcript.pyannote[1735].end 12088.57221875
transcript.pyannote[1736].speaker SPEAKER_27
transcript.pyannote[1736].start 12088.90971875
transcript.pyannote[1736].end 12089.68596875
transcript.pyannote[1737].speaker SPEAKER_16
transcript.pyannote[1737].start 12089.68596875
transcript.pyannote[1737].end 12093.44909375
transcript.pyannote[1738].speaker SPEAKER_16
transcript.pyannote[1738].start 12094.27596875
transcript.pyannote[1738].end 12103.48971875
transcript.pyannote[1739].speaker SPEAKER_16
transcript.pyannote[1739].start 12103.96221875
transcript.pyannote[1739].end 12116.87159375
transcript.pyannote[1740].speaker SPEAKER_16
transcript.pyannote[1740].start 12117.42846875
transcript.pyannote[1740].end 12121.24221875
transcript.pyannote[1741].speaker SPEAKER_16
transcript.pyannote[1741].start 12121.66409375
transcript.pyannote[1741].end 12122.38971875
transcript.pyannote[1742].speaker SPEAKER_16
transcript.pyannote[1742].start 12123.16596875
transcript.pyannote[1742].end 12128.22846875
transcript.pyannote[1743].speaker SPEAKER_16
transcript.pyannote[1743].start 12128.43096875
transcript.pyannote[1743].end 12131.01284375
transcript.pyannote[1744].speaker SPEAKER_16
transcript.pyannote[1744].start 12132.39659375
transcript.pyannote[1744].end 12135.53534375
transcript.pyannote[1745].speaker SPEAKER_16
transcript.pyannote[1745].start 12135.97409375
transcript.pyannote[1745].end 12139.06221875
transcript.pyannote[1746].speaker SPEAKER_16
transcript.pyannote[1746].start 12139.16346875
transcript.pyannote[1746].end 12139.83846875
transcript.pyannote[1747].speaker SPEAKER_16
transcript.pyannote[1747].start 12140.41221875
transcript.pyannote[1747].end 12141.01971875
transcript.pyannote[1748].speaker SPEAKER_16
transcript.pyannote[1748].start 12141.39096875
transcript.pyannote[1748].end 12144.63096875
transcript.pyannote[1749].speaker SPEAKER_27
transcript.pyannote[1749].start 12145.62659375
transcript.pyannote[1749].end 12146.01471875
transcript.pyannote[1750].speaker SPEAKER_16
transcript.pyannote[1750].start 12145.66034375
transcript.pyannote[1750].end 12146.63909375
transcript.pyannote[1751].speaker SPEAKER_27
transcript.pyannote[1751].start 12146.80784375
transcript.pyannote[1751].end 12147.07784375
transcript.pyannote[1752].speaker SPEAKER_27
transcript.pyannote[1752].start 12147.46596875
transcript.pyannote[1752].end 12150.19971875
transcript.pyannote[1753].speaker SPEAKER_27
transcript.pyannote[1753].start 12150.43596875
transcript.pyannote[1753].end 12153.79409375
transcript.pyannote[1754].speaker SPEAKER_27
transcript.pyannote[1754].start 12153.97971875
transcript.pyannote[1754].end 12167.53034375
transcript.pyannote[1755].speaker SPEAKER_27
transcript.pyannote[1755].start 12167.98596875
transcript.pyannote[1755].end 12173.03159375
transcript.pyannote[1756].speaker SPEAKER_27
transcript.pyannote[1756].start 12173.55471875
transcript.pyannote[1756].end 12181.65471875
transcript.pyannote[1757].speaker SPEAKER_27
transcript.pyannote[1757].start 12181.94159375
transcript.pyannote[1757].end 12186.44721875
transcript.pyannote[1758].speaker SPEAKER_16
transcript.pyannote[1758].start 12185.50221875
transcript.pyannote[1758].end 12187.81409375
transcript.pyannote[1759].speaker SPEAKER_27
transcript.pyannote[1759].start 12187.94909375
transcript.pyannote[1759].end 12188.48909375
transcript.pyannote[1760].speaker SPEAKER_27
transcript.pyannote[1760].start 12188.67471875
transcript.pyannote[1760].end 12213.81846875
transcript.pyannote[1761].speaker SPEAKER_16
transcript.pyannote[1761].start 12213.97034375
transcript.pyannote[1761].end 12223.65659375
transcript.pyannote[1762].speaker SPEAKER_16
transcript.pyannote[1762].start 12224.09534375
transcript.pyannote[1762].end 12246.77534375
transcript.pyannote[1763].speaker SPEAKER_16
transcript.pyannote[1763].start 12246.94409375
transcript.pyannote[1763].end 12248.53034375
transcript.pyannote[1764].speaker SPEAKER_16
transcript.pyannote[1764].start 12248.58096875
transcript.pyannote[1764].end 12248.64846875
transcript.pyannote[1765].speaker SPEAKER_16
transcript.pyannote[1765].start 12248.78346875
transcript.pyannote[1765].end 12259.81971875
transcript.pyannote[1766].speaker SPEAKER_27
transcript.pyannote[1766].start 12260.17409375
transcript.pyannote[1766].end 12288.99659375
transcript.pyannote[1767].speaker SPEAKER_16
transcript.pyannote[1767].start 12260.30909375
transcript.pyannote[1767].end 12260.81534375
transcript.pyannote[1768].speaker SPEAKER_16
transcript.pyannote[1768].start 12289.35096875
transcript.pyannote[1768].end 12289.87409375
transcript.pyannote[1769].speaker SPEAKER_27
transcript.pyannote[1769].start 12290.49846875
transcript.pyannote[1769].end 12290.78534375
transcript.pyannote[1770].speaker SPEAKER_16
transcript.pyannote[1770].start 12290.78534375
transcript.pyannote[1770].end 12303.72846875
transcript.pyannote[1771].speaker SPEAKER_16
transcript.pyannote[1771].start 12304.33596875
transcript.pyannote[1771].end 12305.80409375
transcript.pyannote[1772].speaker SPEAKER_16
transcript.pyannote[1772].start 12306.15846875
transcript.pyannote[1772].end 12313.80284375
transcript.pyannote[1773].speaker SPEAKER_16
transcript.pyannote[1773].start 12314.03909375
transcript.pyannote[1773].end 12315.69284375
transcript.pyannote[1774].speaker SPEAKER_27
transcript.pyannote[1774].start 12314.12346875
transcript.pyannote[1774].end 12321.80159375
transcript.pyannote[1775].speaker SPEAKER_16
transcript.pyannote[1775].start 12321.16034375
transcript.pyannote[1775].end 12325.24409375
transcript.pyannote[1776].speaker SPEAKER_16
transcript.pyannote[1776].start 12325.93596875
transcript.pyannote[1776].end 12346.15221875
transcript.pyannote[1777].speaker SPEAKER_16
transcript.pyannote[1777].start 12346.64159375
transcript.pyannote[1777].end 12353.57721875
transcript.pyannote[1778].speaker SPEAKER_16
transcript.pyannote[1778].start 12354.20159375
transcript.pyannote[1778].end 12378.19784375
transcript.pyannote[1779].speaker SPEAKER_16
transcript.pyannote[1779].start 12378.82221875
transcript.pyannote[1779].end 12383.44596875
transcript.pyannote[1780].speaker SPEAKER_16
transcript.pyannote[1780].start 12383.71596875
transcript.pyannote[1780].end 12392.74409375
transcript.pyannote[1781].speaker SPEAKER_27
transcript.pyannote[1781].start 12393.04784375
transcript.pyannote[1781].end 12393.87471875
transcript.pyannote[1782].speaker SPEAKER_27
transcript.pyannote[1782].start 12394.43159375
transcript.pyannote[1782].end 12422.05596875
transcript.pyannote[1783].speaker SPEAKER_16
transcript.pyannote[1783].start 12422.25846875
transcript.pyannote[1783].end 12425.21159375
transcript.pyannote[1784].speaker SPEAKER_27
transcript.pyannote[1784].start 12425.32971875
transcript.pyannote[1784].end 12429.31221875
transcript.pyannote[1785].speaker SPEAKER_16
transcript.pyannote[1785].start 12429.58221875
transcript.pyannote[1785].end 12429.85221875
transcript.pyannote[1786].speaker SPEAKER_27
transcript.pyannote[1786].start 12429.98721875
transcript.pyannote[1786].end 12430.45971875
transcript.pyannote[1787].speaker SPEAKER_27
transcript.pyannote[1787].start 12431.18534375
transcript.pyannote[1787].end 12433.73346875
transcript.pyannote[1788].speaker SPEAKER_16
transcript.pyannote[1788].start 12433.73346875
transcript.pyannote[1788].end 12440.11221875
transcript.pyannote[1789].speaker SPEAKER_16
transcript.pyannote[1789].start 12440.77034375
transcript.pyannote[1789].end 12446.22096875
transcript.pyannote[1790].speaker SPEAKER_16
transcript.pyannote[1790].start 12447.14909375
transcript.pyannote[1790].end 12466.48784375
transcript.pyannote[1791].speaker SPEAKER_16
transcript.pyannote[1791].start 12466.75784375
transcript.pyannote[1791].end 12473.84534375
transcript.pyannote[1792].speaker SPEAKER_27
transcript.pyannote[1792].start 12474.38534375
transcript.pyannote[1792].end 12498.11159375
transcript.pyannote[1793].speaker SPEAKER_16
transcript.pyannote[1793].start 12498.24659375
transcript.pyannote[1793].end 12503.51159375
transcript.pyannote[1794].speaker SPEAKER_06
transcript.pyannote[1794].start 12503.51159375
transcript.pyannote[1794].end 12503.52846875
transcript.pyannote[1795].speaker SPEAKER_27
transcript.pyannote[1795].start 12503.52846875
transcript.pyannote[1795].end 12503.81534375
transcript.pyannote[1796].speaker SPEAKER_16
transcript.pyannote[1796].start 12503.81534375
transcript.pyannote[1796].end 12505.01346875
transcript.pyannote[1797].speaker SPEAKER_27
transcript.pyannote[1797].start 12503.83221875
transcript.pyannote[1797].end 12503.96721875
transcript.pyannote[1798].speaker SPEAKER_06
transcript.pyannote[1798].start 12503.96721875
transcript.pyannote[1798].end 12504.16971875
transcript.pyannote[1799].speaker SPEAKER_27
transcript.pyannote[1799].start 12504.16971875
transcript.pyannote[1799].end 12504.25409375
transcript.pyannote[1800].speaker SPEAKER_06
transcript.pyannote[1800].start 12505.01346875
transcript.pyannote[1800].end 12505.43534375
transcript.pyannote[1801].speaker SPEAKER_06
transcript.pyannote[1801].start 12506.36346875
transcript.pyannote[1801].end 12512.01659375
transcript.pyannote[1802].speaker SPEAKER_19
transcript.pyannote[1802].start 12520.16721875
transcript.pyannote[1802].end 12524.47034375
transcript.pyannote[1803].speaker SPEAKER_19
transcript.pyannote[1803].start 12528.77346875
transcript.pyannote[1803].end 12529.31346875
transcript.pyannote[1804].speaker SPEAKER_19
transcript.pyannote[1804].start 12529.71846875
transcript.pyannote[1804].end 12565.18971875
transcript.pyannote[1805].speaker SPEAKER_19
transcript.pyannote[1805].start 12565.27409375
transcript.pyannote[1805].end 12566.75909375
transcript.pyannote[1806].speaker SPEAKER_19
transcript.pyannote[1806].start 12567.14721875
transcript.pyannote[1806].end 12567.72096875
transcript.pyannote[1807].speaker SPEAKER_19
transcript.pyannote[1807].start 12568.58159375
transcript.pyannote[1807].end 12570.04971875
transcript.pyannote[1808].speaker SPEAKER_19
transcript.pyannote[1808].start 12570.40409375
transcript.pyannote[1808].end 12573.72846875
transcript.pyannote[1809].speaker SPEAKER_19
transcript.pyannote[1809].start 12574.03221875
transcript.pyannote[1809].end 12577.01909375
transcript.pyannote[1810].speaker SPEAKER_19
transcript.pyannote[1810].start 12577.32284375
transcript.pyannote[1810].end 12581.05221875
transcript.pyannote[1811].speaker SPEAKER_19
transcript.pyannote[1811].start 12581.38971875
transcript.pyannote[1811].end 12595.71659375
transcript.pyannote[1812].speaker SPEAKER_19
transcript.pyannote[1812].start 12596.02034375
transcript.pyannote[1812].end 12596.84721875
transcript.pyannote[1813].speaker SPEAKER_19
transcript.pyannote[1813].start 12597.16784375
transcript.pyannote[1813].end 12603.00659375
transcript.pyannote[1814].speaker SPEAKER_19
transcript.pyannote[1814].start 12603.36096875
transcript.pyannote[1814].end 12610.58346875
transcript.pyannote[1815].speaker SPEAKER_27
transcript.pyannote[1815].start 12610.75221875
transcript.pyannote[1815].end 12656.80409375
transcript.pyannote[1816].speaker SPEAKER_27
transcript.pyannote[1816].start 12656.88846875
transcript.pyannote[1816].end 12667.09784375
transcript.pyannote[1817].speaker SPEAKER_19
transcript.pyannote[1817].start 12667.09784375
transcript.pyannote[1817].end 12679.66971875
transcript.pyannote[1818].speaker SPEAKER_19
transcript.pyannote[1818].start 12680.63159375
transcript.pyannote[1818].end 12691.60034375
transcript.pyannote[1819].speaker SPEAKER_19
transcript.pyannote[1819].start 12691.73534375
transcript.pyannote[1819].end 12714.33096875
transcript.pyannote[1820].speaker SPEAKER_27
transcript.pyannote[1820].start 12715.12409375
transcript.pyannote[1820].end 12737.73659375
transcript.pyannote[1821].speaker SPEAKER_27
transcript.pyannote[1821].start 12738.10784375
transcript.pyannote[1821].end 12780.07596875
transcript.pyannote[1822].speaker SPEAKER_27
transcript.pyannote[1822].start 12780.86909375
transcript.pyannote[1822].end 12781.67909375
transcript.pyannote[1823].speaker SPEAKER_19
transcript.pyannote[1823].start 12780.91971875
transcript.pyannote[1823].end 12784.76721875
transcript.pyannote[1824].speaker SPEAKER_19
transcript.pyannote[1824].start 12784.83471875
transcript.pyannote[1824].end 12806.51909375
transcript.pyannote[1825].speaker SPEAKER_19
transcript.pyannote[1825].start 12806.80596875
transcript.pyannote[1825].end 12828.87846875
transcript.pyannote[1826].speaker SPEAKER_19
transcript.pyannote[1826].start 12829.57034375
transcript.pyannote[1826].end 12837.33284375
transcript.pyannote[1827].speaker SPEAKER_19
transcript.pyannote[1827].start 12837.85596875
transcript.pyannote[1827].end 12841.33221875
transcript.pyannote[1828].speaker SPEAKER_19
transcript.pyannote[1828].start 12841.41659375
transcript.pyannote[1828].end 12846.95159375
transcript.pyannote[1829].speaker SPEAKER_19
transcript.pyannote[1829].start 12847.47471875
transcript.pyannote[1829].end 12859.05096875
transcript.pyannote[1830].speaker SPEAKER_27
transcript.pyannote[1830].start 12859.16909375
transcript.pyannote[1830].end 12901.66034375
transcript.pyannote[1831].speaker SPEAKER_19
transcript.pyannote[1831].start 12901.86284375
transcript.pyannote[1831].end 12913.01721875
transcript.pyannote[1832].speaker SPEAKER_27
transcript.pyannote[1832].start 12913.65846875
transcript.pyannote[1832].end 12921.99471875
transcript.pyannote[1833].speaker SPEAKER_27
transcript.pyannote[1833].start 12922.75409375
transcript.pyannote[1833].end 12931.49534375
transcript.pyannote[1834].speaker SPEAKER_19
transcript.pyannote[1834].start 12931.49534375
transcript.pyannote[1834].end 12942.31221875
transcript.pyannote[1835].speaker SPEAKER_27
transcript.pyannote[1835].start 12931.64721875
transcript.pyannote[1835].end 12931.83284375
transcript.pyannote[1836].speaker SPEAKER_27
transcript.pyannote[1836].start 12942.64971875
transcript.pyannote[1836].end 12975.60659375
transcript.pyannote[1837].speaker SPEAKER_19
transcript.pyannote[1837].start 12976.16346875
transcript.pyannote[1837].end 13013.45721875
transcript.pyannote[1838].speaker SPEAKER_19
transcript.pyannote[1838].start 13013.67659375
transcript.pyannote[1838].end 13024.94909375
transcript.pyannote[1839].speaker SPEAKER_19
transcript.pyannote[1839].start 13025.26971875
transcript.pyannote[1839].end 13033.13346875
transcript.pyannote[1840].speaker SPEAKER_27
transcript.pyannote[1840].start 13033.45409375
transcript.pyannote[1840].end 13047.51096875
transcript.pyannote[1841].speaker SPEAKER_27
transcript.pyannote[1841].start 13048.28721875
transcript.pyannote[1841].end 13068.63846875
transcript.pyannote[1842].speaker SPEAKER_19
transcript.pyannote[1842].start 13068.87471875
transcript.pyannote[1842].end 13074.00471875
transcript.pyannote[1843].speaker SPEAKER_27
transcript.pyannote[1843].start 13074.57846875
transcript.pyannote[1843].end 13075.23659375
transcript.pyannote[1844].speaker SPEAKER_27
transcript.pyannote[1844].start 13075.64159375
transcript.pyannote[1844].end 13083.64034375
transcript.pyannote[1845].speaker SPEAKER_27
transcript.pyannote[1845].start 13083.91034375
transcript.pyannote[1845].end 13088.31471875
transcript.pyannote[1846].speaker SPEAKER_19
transcript.pyannote[1846].start 13088.41596875
transcript.pyannote[1846].end 13091.13284375
transcript.pyannote[1847].speaker SPEAKER_27
transcript.pyannote[1847].start 13090.71096875
transcript.pyannote[1847].end 13091.28471875
transcript.pyannote[1848].speaker SPEAKER_27
transcript.pyannote[1848].start 13091.82471875
transcript.pyannote[1848].end 13092.38159375
transcript.pyannote[1849].speaker SPEAKER_06
transcript.pyannote[1849].start 13103.35034375
transcript.pyannote[1849].end 13109.91471875
transcript.pyannote[1850].speaker SPEAKER_25
transcript.pyannote[1850].start 13128.57846875
transcript.pyannote[1850].end 13131.31221875
transcript.pyannote[1851].speaker SPEAKER_06
transcript.pyannote[1851].start 13131.78471875
transcript.pyannote[1851].end 13132.78034375
transcript.pyannote[1852].speaker SPEAKER_25
transcript.pyannote[1852].start 13137.43784375
transcript.pyannote[1852].end 13150.21221875
transcript.pyannote[1853].speaker SPEAKER_25
transcript.pyannote[1853].start 13150.48221875
transcript.pyannote[1853].end 13152.27096875
transcript.pyannote[1854].speaker SPEAKER_25
transcript.pyannote[1854].start 13152.72659375
transcript.pyannote[1854].end 13170.42846875
transcript.pyannote[1855].speaker SPEAKER_25
transcript.pyannote[1855].start 13170.83346875
transcript.pyannote[1855].end 13181.54909375
transcript.pyannote[1856].speaker SPEAKER_25
transcript.pyannote[1856].start 13181.65034375
transcript.pyannote[1856].end 13196.07846875
transcript.pyannote[1857].speaker SPEAKER_25
transcript.pyannote[1857].start 13196.34846875
transcript.pyannote[1857].end 13200.66846875
transcript.pyannote[1858].speaker SPEAKER_25
transcript.pyannote[1858].start 13200.93846875
transcript.pyannote[1858].end 13213.91534375
transcript.pyannote[1859].speaker SPEAKER_25
transcript.pyannote[1859].start 13213.96596875
transcript.pyannote[1859].end 13215.68721875
transcript.pyannote[1860].speaker SPEAKER_25
transcript.pyannote[1860].start 13216.15971875
transcript.pyannote[1860].end 13225.23846875
transcript.pyannote[1861].speaker SPEAKER_27
transcript.pyannote[1861].start 13225.71096875
transcript.pyannote[1861].end 13240.56096875
transcript.pyannote[1862].speaker SPEAKER_25
transcript.pyannote[1862].start 13240.69596875
transcript.pyannote[1862].end 13245.13409375
transcript.pyannote[1863].speaker SPEAKER_25
transcript.pyannote[1863].start 13245.72471875
transcript.pyannote[1863].end 13259.19096875
transcript.pyannote[1864].speaker SPEAKER_25
transcript.pyannote[1864].start 13260.22034375
transcript.pyannote[1864].end 13260.94596875
transcript.pyannote[1865].speaker SPEAKER_27
transcript.pyannote[1865].start 13260.22034375
transcript.pyannote[1865].end 13274.71596875
transcript.pyannote[1866].speaker SPEAKER_25
transcript.pyannote[1866].start 13271.29034375
transcript.pyannote[1866].end 13271.72909375
transcript.pyannote[1867].speaker SPEAKER_25
transcript.pyannote[1867].start 13274.20971875
transcript.pyannote[1867].end 13276.52159375
transcript.pyannote[1868].speaker SPEAKER_27
transcript.pyannote[1868].start 13277.14596875
transcript.pyannote[1868].end 13280.50409375
transcript.pyannote[1869].speaker SPEAKER_25
transcript.pyannote[1869].start 13280.67284375
transcript.pyannote[1869].end 13287.49034375
transcript.pyannote[1870].speaker SPEAKER_27
transcript.pyannote[1870].start 13288.03034375
transcript.pyannote[1870].end 13289.05971875
transcript.pyannote[1871].speaker SPEAKER_27
transcript.pyannote[1871].start 13289.39721875
transcript.pyannote[1871].end 13291.75971875
transcript.pyannote[1872].speaker SPEAKER_25
transcript.pyannote[1872].start 13291.75971875
transcript.pyannote[1872].end 13296.07971875
transcript.pyannote[1873].speaker SPEAKER_25
transcript.pyannote[1873].start 13296.36659375
transcript.pyannote[1873].end 13297.90221875
transcript.pyannote[1874].speaker SPEAKER_25
transcript.pyannote[1874].start 13298.08784375
transcript.pyannote[1874].end 13304.19659375
transcript.pyannote[1875].speaker SPEAKER_27
transcript.pyannote[1875].start 13300.45034375
transcript.pyannote[1875].end 13301.54721875
transcript.pyannote[1876].speaker SPEAKER_00
transcript.pyannote[1876].start 13301.54721875
transcript.pyannote[1876].end 13301.56409375
transcript.pyannote[1877].speaker SPEAKER_27
transcript.pyannote[1877].start 13301.98596875
transcript.pyannote[1877].end 13302.71159375
transcript.pyannote[1878].speaker SPEAKER_27
transcript.pyannote[1878].start 13303.30221875
transcript.pyannote[1878].end 13303.53846875
transcript.pyannote[1879].speaker SPEAKER_27
transcript.pyannote[1879].start 13304.19659375
transcript.pyannote[1879].end 13315.78971875
transcript.pyannote[1880].speaker SPEAKER_25
transcript.pyannote[1880].start 13315.19909375
transcript.pyannote[1880].end 13332.51284375
transcript.pyannote[1881].speaker SPEAKER_27
transcript.pyannote[1881].start 13333.15409375
transcript.pyannote[1881].end 13349.52284375
transcript.pyannote[1882].speaker SPEAKER_25
transcript.pyannote[1882].start 13348.30784375
transcript.pyannote[1882].end 13355.74971875
transcript.pyannote[1883].speaker SPEAKER_27
transcript.pyannote[1883].start 13356.44159375
transcript.pyannote[1883].end 13367.03909375
transcript.pyannote[1884].speaker SPEAKER_25
transcript.pyannote[1884].start 13366.22909375
transcript.pyannote[1884].end 13373.83971875
transcript.pyannote[1885].speaker SPEAKER_27
transcript.pyannote[1885].start 13374.97034375
transcript.pyannote[1885].end 13377.19784375
transcript.pyannote[1886].speaker SPEAKER_25
transcript.pyannote[1886].start 13376.91096875
transcript.pyannote[1886].end 13382.63159375
transcript.pyannote[1887].speaker SPEAKER_25
transcript.pyannote[1887].start 13382.85096875
transcript.pyannote[1887].end 13398.10596875
transcript.pyannote[1888].speaker SPEAKER_25
transcript.pyannote[1888].start 13398.84846875
transcript.pyannote[1888].end 13400.99159375
transcript.pyannote[1889].speaker SPEAKER_25
transcript.pyannote[1889].start 13401.51471875
transcript.pyannote[1889].end 13409.14221875
transcript.pyannote[1890].speaker SPEAKER_25
transcript.pyannote[1890].start 13409.63159375
transcript.pyannote[1890].end 13417.22534375
transcript.pyannote[1891].speaker SPEAKER_27
transcript.pyannote[1891].start 13417.22534375
transcript.pyannote[1891].end 13417.24221875
transcript.pyannote[1892].speaker SPEAKER_27
transcript.pyannote[1892].start 13418.01846875
transcript.pyannote[1892].end 13435.02846875
transcript.pyannote[1893].speaker SPEAKER_27
transcript.pyannote[1893].start 13436.24346875
transcript.pyannote[1893].end 13436.26034375
transcript.pyannote[1894].speaker SPEAKER_25
transcript.pyannote[1894].start 13436.26034375
transcript.pyannote[1894].end 13437.37409375
transcript.pyannote[1895].speaker SPEAKER_25
transcript.pyannote[1895].start 13438.03221875
transcript.pyannote[1895].end 13439.75346875
transcript.pyannote[1896].speaker SPEAKER_25
transcript.pyannote[1896].start 13441.06971875
transcript.pyannote[1896].end 13446.53721875
transcript.pyannote[1897].speaker SPEAKER_27
transcript.pyannote[1897].start 13446.53721875
transcript.pyannote[1897].end 13454.94096875
transcript.pyannote[1898].speaker SPEAKER_27
transcript.pyannote[1898].start 13455.86909375
transcript.pyannote[1898].end 13464.27284375
transcript.pyannote[1899].speaker SPEAKER_25
transcript.pyannote[1899].start 13463.36159375
transcript.pyannote[1899].end 13468.79534375
transcript.pyannote[1900].speaker SPEAKER_25
transcript.pyannote[1900].start 13469.82471875
transcript.pyannote[1900].end 13474.75221875
transcript.pyannote[1901].speaker SPEAKER_25
transcript.pyannote[1901].start 13475.56221875
transcript.pyannote[1901].end 13476.23721875
transcript.pyannote[1902].speaker SPEAKER_27
transcript.pyannote[1902].start 13476.23721875
transcript.pyannote[1902].end 13476.25409375
transcript.pyannote[1903].speaker SPEAKER_25
transcript.pyannote[1903].start 13476.77721875
transcript.pyannote[1903].end 13477.97534375
transcript.pyannote[1904].speaker SPEAKER_27
transcript.pyannote[1904].start 13477.97534375
transcript.pyannote[1904].end 13484.60721875
transcript.pyannote[1905].speaker SPEAKER_27
transcript.pyannote[1905].start 13485.61971875
transcript.pyannote[1905].end 13485.65346875
transcript.pyannote[1906].speaker SPEAKER_25
transcript.pyannote[1906].start 13485.65346875
transcript.pyannote[1906].end 13485.70409375
transcript.pyannote[1907].speaker SPEAKER_27
transcript.pyannote[1907].start 13485.70409375
transcript.pyannote[1907].end 13485.87284375
transcript.pyannote[1908].speaker SPEAKER_25
transcript.pyannote[1908].start 13485.87284375
transcript.pyannote[1908].end 13488.80909375
transcript.pyannote[1909].speaker SPEAKER_27
transcript.pyannote[1909].start 13489.53471875
transcript.pyannote[1909].end 13494.63096875
transcript.pyannote[1910].speaker SPEAKER_25
transcript.pyannote[1910].start 13493.92221875
transcript.pyannote[1910].end 13498.41096875
transcript.pyannote[1911].speaker SPEAKER_27
transcript.pyannote[1911].start 13499.65971875
transcript.pyannote[1911].end 13507.32096875
transcript.pyannote[1912].speaker SPEAKER_25
transcript.pyannote[1912].start 13501.61721875
transcript.pyannote[1912].end 13502.56221875
transcript.pyannote[1913].speaker SPEAKER_25
transcript.pyannote[1913].start 13507.32096875
transcript.pyannote[1913].end 13512.97409375
transcript.pyannote[1914].speaker SPEAKER_27
transcript.pyannote[1914].start 13512.97409375
transcript.pyannote[1914].end 13513.02471875
transcript.pyannote[1915].speaker SPEAKER_25
transcript.pyannote[1915].start 13513.02471875
transcript.pyannote[1915].end 13513.04159375
transcript.pyannote[1916].speaker SPEAKER_27
transcript.pyannote[1916].start 13513.04159375
transcript.pyannote[1916].end 13515.70784375
transcript.pyannote[1917].speaker SPEAKER_25
transcript.pyannote[1917].start 13515.91034375
transcript.pyannote[1917].end 13517.63159375
transcript.pyannote[1918].speaker SPEAKER_27
transcript.pyannote[1918].start 13518.40784375
transcript.pyannote[1918].end 13524.02721875
transcript.pyannote[1919].speaker SPEAKER_25
transcript.pyannote[1919].start 13524.12846875
transcript.pyannote[1919].end 13527.43596875
transcript.pyannote[1920].speaker SPEAKER_27
transcript.pyannote[1920].start 13528.04346875
transcript.pyannote[1920].end 13532.56596875
transcript.pyannote[1921].speaker SPEAKER_25
transcript.pyannote[1921].start 13532.56596875
transcript.pyannote[1921].end 13538.65784375
transcript.pyannote[1922].speaker SPEAKER_27
transcript.pyannote[1922].start 13540.51409375
transcript.pyannote[1922].end 13549.32284375
transcript.pyannote[1923].speaker SPEAKER_25
transcript.pyannote[1923].start 13548.39471875
transcript.pyannote[1923].end 13556.51159375
transcript.pyannote[1924].speaker SPEAKER_25
transcript.pyannote[1924].start 13556.62971875
transcript.pyannote[1924].end 13557.25409375
transcript.pyannote[1925].speaker SPEAKER_25
transcript.pyannote[1925].start 13557.74346875
transcript.pyannote[1925].end 13559.88659375
transcript.pyannote[1926].speaker SPEAKER_27
transcript.pyannote[1926].start 13561.70909375
transcript.pyannote[1926].end 13575.52971875
transcript.pyannote[1927].speaker SPEAKER_25
transcript.pyannote[1927].start 13574.98971875
transcript.pyannote[1927].end 13581.70596875
transcript.pyannote[1928].speaker SPEAKER_27
transcript.pyannote[1928].start 13582.31346875
transcript.pyannote[1928].end 13586.12721875
transcript.pyannote[1929].speaker SPEAKER_25
transcript.pyannote[1929].start 13585.06409375
transcript.pyannote[1929].end 13589.38409375
transcript.pyannote[1930].speaker SPEAKER_27
transcript.pyannote[1930].start 13590.04221875
transcript.pyannote[1930].end 13594.64909375
transcript.pyannote[1931].speaker SPEAKER_27
transcript.pyannote[1931].start 13594.96971875
transcript.pyannote[1931].end 13595.23971875
transcript.pyannote[1932].speaker SPEAKER_25
transcript.pyannote[1932].start 13595.23971875
transcript.pyannote[1932].end 13600.60596875
transcript.pyannote[1933].speaker SPEAKER_27
transcript.pyannote[1933].start 13600.99409375
transcript.pyannote[1933].end 13606.22534375
transcript.pyannote[1934].speaker SPEAKER_27
transcript.pyannote[1934].start 13606.59659375
transcript.pyannote[1934].end 13611.76034375
transcript.pyannote[1935].speaker SPEAKER_25
transcript.pyannote[1935].start 13610.08971875
transcript.pyannote[1935].end 13620.31596875
transcript.pyannote[1936].speaker SPEAKER_27
transcript.pyannote[1936].start 13620.95721875
transcript.pyannote[1936].end 13626.72846875
transcript.pyannote[1937].speaker SPEAKER_25
transcript.pyannote[1937].start 13624.46721875
transcript.pyannote[1937].end 13626.96471875
transcript.pyannote[1938].speaker SPEAKER_27
transcript.pyannote[1938].start 13627.53846875
transcript.pyannote[1938].end 13638.97971875
transcript.pyannote[1939].speaker SPEAKER_25
transcript.pyannote[1939].start 13638.97971875
transcript.pyannote[1939].end 13638.99659375
transcript.pyannote[1940].speaker SPEAKER_25
transcript.pyannote[1940].start 13639.38471875
transcript.pyannote[1940].end 13643.77221875
transcript.pyannote[1941].speaker SPEAKER_25
transcript.pyannote[1941].start 13643.94096875
transcript.pyannote[1941].end 13644.76784375
transcript.pyannote[1942].speaker SPEAKER_25
transcript.pyannote[1942].start 13645.47659375
transcript.pyannote[1942].end 13646.20221875
transcript.pyannote[1943].speaker SPEAKER_25
transcript.pyannote[1943].start 13646.72534375
transcript.pyannote[1943].end 13647.38346875
transcript.pyannote[1944].speaker SPEAKER_25
transcript.pyannote[1944].start 13647.53534375
transcript.pyannote[1944].end 13653.67784375
transcript.pyannote[1945].speaker SPEAKER_25
transcript.pyannote[1945].start 13653.93096875
transcript.pyannote[1945].end 13656.36096875
transcript.pyannote[1946].speaker SPEAKER_27
transcript.pyannote[1946].start 13655.66909375
transcript.pyannote[1946].end 13659.39846875
transcript.pyannote[1947].speaker SPEAKER_25
transcript.pyannote[1947].start 13657.35659375
transcript.pyannote[1947].end 13657.74471875
transcript.pyannote[1948].speaker SPEAKER_25
transcript.pyannote[1948].start 13658.16659375
transcript.pyannote[1948].end 13659.16221875
transcript.pyannote[1949].speaker SPEAKER_06
transcript.pyannote[1949].start 13664.61284375
transcript.pyannote[1949].end 13666.62096875
transcript.pyannote[1950].speaker SPEAKER_06
transcript.pyannote[1950].start 13667.70096875
transcript.pyannote[1950].end 13670.82284375
transcript.pyannote[1951].speaker SPEAKER_08
transcript.pyannote[1951].start 13683.96846875
transcript.pyannote[1951].end 13684.71096875
transcript.pyannote[1952].speaker SPEAKER_08
transcript.pyannote[1952].start 13685.01471875
transcript.pyannote[1952].end 13686.93846875
transcript.pyannote[1953].speaker SPEAKER_06
transcript.pyannote[1953].start 13687.05659375
transcript.pyannote[1953].end 13688.23784375
transcript.pyannote[1954].speaker SPEAKER_08
transcript.pyannote[1954].start 13692.94596875
transcript.pyannote[1954].end 13693.19909375
transcript.pyannote[1955].speaker SPEAKER_08
transcript.pyannote[1955].start 13693.51971875
transcript.pyannote[1955].end 13694.44784375
transcript.pyannote[1956].speaker SPEAKER_08
transcript.pyannote[1956].start 13694.58284375
transcript.pyannote[1956].end 13695.88221875
transcript.pyannote[1957].speaker SPEAKER_08
transcript.pyannote[1957].start 13695.91596875
transcript.pyannote[1957].end 13746.74346875
transcript.pyannote[1958].speaker SPEAKER_08
transcript.pyannote[1958].start 13747.14846875
transcript.pyannote[1958].end 13755.55221875
transcript.pyannote[1959].speaker SPEAKER_27
transcript.pyannote[1959].start 13756.90221875
transcript.pyannote[1959].end 13764.17534375
transcript.pyannote[1960].speaker SPEAKER_27
transcript.pyannote[1960].start 13764.44534375
transcript.pyannote[1960].end 13793.03159375
transcript.pyannote[1961].speaker SPEAKER_08
transcript.pyannote[1961].start 13793.13284375
transcript.pyannote[1961].end 13800.22034375
transcript.pyannote[1962].speaker SPEAKER_08
transcript.pyannote[1962].start 13800.87846875
transcript.pyannote[1962].end 13807.56096875
transcript.pyannote[1963].speaker SPEAKER_08
transcript.pyannote[1963].start 13807.98284375
transcript.pyannote[1963].end 13816.45409375
transcript.pyannote[1964].speaker SPEAKER_08
transcript.pyannote[1964].start 13816.96034375
transcript.pyannote[1964].end 13820.58846875
transcript.pyannote[1965].speaker SPEAKER_08
transcript.pyannote[1965].start 13820.77409375
transcript.pyannote[1965].end 13822.47846875
transcript.pyannote[1966].speaker SPEAKER_08
transcript.pyannote[1966].start 13823.08596875
transcript.pyannote[1966].end 13825.24596875
transcript.pyannote[1967].speaker SPEAKER_27
transcript.pyannote[1967].start 13825.60034375
transcript.pyannote[1967].end 13827.35534375
transcript.pyannote[1968].speaker SPEAKER_27
transcript.pyannote[1968].start 13827.62534375
transcript.pyannote[1968].end 13829.58284375
transcript.pyannote[1969].speaker SPEAKER_27
transcript.pyannote[1969].start 13829.76846875
transcript.pyannote[1969].end 13835.45534375
transcript.pyannote[1970].speaker SPEAKER_08
transcript.pyannote[1970].start 13833.98721875
transcript.pyannote[1970].end 13837.02471875
transcript.pyannote[1971].speaker SPEAKER_27
transcript.pyannote[1971].start 13837.10909375
transcript.pyannote[1971].end 13837.34534375
transcript.pyannote[1972].speaker SPEAKER_08
transcript.pyannote[1972].start 13837.34534375
transcript.pyannote[1972].end 13841.66534375
transcript.pyannote[1973].speaker SPEAKER_27
transcript.pyannote[1973].start 13842.79596875
transcript.pyannote[1973].end 13843.62284375
transcript.pyannote[1974].speaker SPEAKER_08
transcript.pyannote[1974].start 13843.03221875
transcript.pyannote[1974].end 13844.24721875
transcript.pyannote[1975].speaker SPEAKER_27
transcript.pyannote[1975].start 13844.39909375
transcript.pyannote[1975].end 13846.44096875
transcript.pyannote[1976].speaker SPEAKER_27
transcript.pyannote[1976].start 13847.25096875
transcript.pyannote[1976].end 13857.96659375
transcript.pyannote[1977].speaker SPEAKER_08
transcript.pyannote[1977].start 13857.76409375
transcript.pyannote[1977].end 13858.62471875
transcript.pyannote[1978].speaker SPEAKER_08
transcript.pyannote[1978].start 13859.18159375
transcript.pyannote[1978].end 13867.04534375
transcript.pyannote[1979].speaker SPEAKER_27
transcript.pyannote[1979].start 13868.15909375
transcript.pyannote[1979].end 13868.88471875
transcript.pyannote[1980].speaker SPEAKER_08
transcript.pyannote[1980].start 13868.88471875
transcript.pyannote[1980].end 13871.07846875
transcript.pyannote[1981].speaker SPEAKER_08
transcript.pyannote[1981].start 13871.36534375
transcript.pyannote[1981].end 13872.93471875
transcript.pyannote[1982].speaker SPEAKER_08
transcript.pyannote[1982].start 13873.32284375
transcript.pyannote[1982].end 13874.14971875
transcript.pyannote[1983].speaker SPEAKER_27
transcript.pyannote[1983].start 13875.12846875
transcript.pyannote[1983].end 13877.22096875
transcript.pyannote[1984].speaker SPEAKER_08
transcript.pyannote[1984].start 13877.35596875
transcript.pyannote[1984].end 13881.45659375
transcript.pyannote[1985].speaker SPEAKER_27
transcript.pyannote[1985].start 13881.96284375
transcript.pyannote[1985].end 13881.99659375
transcript.pyannote[1986].speaker SPEAKER_08
transcript.pyannote[1986].start 13881.99659375
transcript.pyannote[1986].end 13882.55346875
transcript.pyannote[1987].speaker SPEAKER_08
transcript.pyannote[1987].start 13883.80221875
transcript.pyannote[1987].end 13884.37596875
transcript.pyannote[1988].speaker SPEAKER_08
transcript.pyannote[1988].start 13884.81471875
transcript.pyannote[1988].end 13884.88221875
transcript.pyannote[1989].speaker SPEAKER_08
transcript.pyannote[1989].start 13884.98346875
transcript.pyannote[1989].end 13887.07596875
transcript.pyannote[1990].speaker SPEAKER_27
transcript.pyannote[1990].start 13885.25346875
transcript.pyannote[1990].end 13885.72596875
transcript.pyannote[1991].speaker SPEAKER_08
transcript.pyannote[1991].start 13887.37971875
transcript.pyannote[1991].end 13887.39659375
transcript.pyannote[1992].speaker SPEAKER_27
transcript.pyannote[1992].start 13887.39659375
transcript.pyannote[1992].end 13888.05471875
transcript.pyannote[1993].speaker SPEAKER_08
transcript.pyannote[1993].start 13888.05471875
transcript.pyannote[1993].end 13891.26096875
transcript.pyannote[1994].speaker SPEAKER_27
transcript.pyannote[1994].start 13891.26096875
transcript.pyannote[1994].end 13896.00284375
transcript.pyannote[1995].speaker SPEAKER_08
transcript.pyannote[1995].start 13893.30284375
transcript.pyannote[1995].end 13894.09596875
transcript.pyannote[1996].speaker SPEAKER_08
transcript.pyannote[1996].start 13895.86784375
transcript.pyannote[1996].end 13929.41534375
transcript.pyannote[1997].speaker SPEAKER_27
transcript.pyannote[1997].start 13929.60096875
transcript.pyannote[1997].end 13930.36034375
transcript.pyannote[1998].speaker SPEAKER_08
transcript.pyannote[1998].start 13930.39409375
transcript.pyannote[1998].end 13937.56596875
transcript.pyannote[1999].speaker SPEAKER_08
transcript.pyannote[1999].start 13937.97096875
transcript.pyannote[1999].end 13939.28721875
transcript.pyannote[2000].speaker SPEAKER_08
transcript.pyannote[2000].start 13939.70909375
transcript.pyannote[2000].end 13941.34596875
transcript.pyannote[2001].speaker SPEAKER_08
transcript.pyannote[2001].start 13941.56534375
transcript.pyannote[2001].end 13950.27284375
transcript.pyannote[2002].speaker SPEAKER_08
transcript.pyannote[2002].start 13950.74534375
transcript.pyannote[2002].end 13958.71034375
transcript.pyannote[2003].speaker SPEAKER_08
transcript.pyannote[2003].start 13959.04784375
transcript.pyannote[2003].end 13960.12784375
transcript.pyannote[2004].speaker SPEAKER_08
transcript.pyannote[2004].start 13960.58346875
transcript.pyannote[2004].end 13965.34221875
transcript.pyannote[2005].speaker SPEAKER_08
transcript.pyannote[2005].start 13965.62909375
transcript.pyannote[2005].end 13966.92846875
transcript.pyannote[2006].speaker SPEAKER_08
transcript.pyannote[2006].start 13967.19846875
transcript.pyannote[2006].end 13972.12596875
transcript.pyannote[2007].speaker SPEAKER_27
transcript.pyannote[2007].start 13973.13846875
transcript.pyannote[2007].end 13989.94596875
transcript.pyannote[2008].speaker SPEAKER_08
transcript.pyannote[2008].start 13989.94596875
transcript.pyannote[2008].end 14000.99909375
transcript.pyannote[2009].speaker SPEAKER_08
transcript.pyannote[2009].start 14001.18471875
transcript.pyannote[2009].end 14002.68659375
transcript.pyannote[2010].speaker SPEAKER_27
transcript.pyannote[2010].start 14002.85534375
transcript.pyannote[2010].end 14015.29221875
transcript.pyannote[2011].speaker SPEAKER_08
transcript.pyannote[2011].start 14012.54159375
transcript.pyannote[2011].end 14013.57096875
transcript.pyannote[2012].speaker SPEAKER_08
transcript.pyannote[2012].start 14014.87034375
transcript.pyannote[2012].end 14019.12284375
transcript.pyannote[2013].speaker SPEAKER_08
transcript.pyannote[2013].start 14019.61221875
transcript.pyannote[2013].end 14043.27096875
transcript.pyannote[2014].speaker SPEAKER_08
transcript.pyannote[2014].start 14043.43971875
transcript.pyannote[2014].end 14050.02096875
transcript.pyannote[2015].speaker SPEAKER_08
transcript.pyannote[2015].start 14050.49346875
transcript.pyannote[2015].end 14051.03346875
transcript.pyannote[2016].speaker SPEAKER_27
transcript.pyannote[2016].start 14051.03346875
transcript.pyannote[2016].end 14053.71659375
transcript.pyannote[2017].speaker SPEAKER_08
transcript.pyannote[2017].start 14053.71659375
transcript.pyannote[2017].end 14056.80471875
transcript.pyannote[2018].speaker SPEAKER_08
transcript.pyannote[2018].start 14057.02409375
transcript.pyannote[2018].end 14059.75784375
transcript.pyannote[2019].speaker SPEAKER_27
transcript.pyannote[2019].start 14060.93909375
transcript.pyannote[2019].end 14061.91784375
transcript.pyannote[2020].speaker SPEAKER_08
transcript.pyannote[2020].start 14062.00221875
transcript.pyannote[2020].end 14063.52096875
transcript.pyannote[2021].speaker SPEAKER_08
transcript.pyannote[2021].start 14063.89221875
transcript.pyannote[2021].end 14068.07721875
transcript.pyannote[2022].speaker SPEAKER_27
transcript.pyannote[2022].start 14065.19159375
transcript.pyannote[2022].end 14066.17034375
transcript.pyannote[2023].speaker SPEAKER_06
transcript.pyannote[2023].start 14066.17034375
transcript.pyannote[2023].end 14066.18721875
transcript.pyannote[2024].speaker SPEAKER_08
transcript.pyannote[2024].start 14069.73096875
transcript.pyannote[2024].end 14073.30846875
transcript.pyannote[2025].speaker SPEAKER_06
transcript.pyannote[2025].start 14071.18221875
transcript.pyannote[2025].end 14071.51971875
transcript.pyannote[2026].speaker SPEAKER_20
transcript.pyannote[2026].start 14077.10534375
transcript.pyannote[2026].end 14077.39221875
transcript.pyannote[2027].speaker SPEAKER_08
transcript.pyannote[2027].start 14077.39221875
transcript.pyannote[2027].end 14092.22534375
transcript.pyannote[2028].speaker SPEAKER_08
transcript.pyannote[2028].start 14092.41096875
transcript.pyannote[2028].end 14097.91221875
transcript.pyannote[2029].speaker SPEAKER_08
transcript.pyannote[2029].start 14098.48596875
transcript.pyannote[2029].end 14101.47284375
transcript.pyannote[2030].speaker SPEAKER_08
transcript.pyannote[2030].start 14102.13096875
transcript.pyannote[2030].end 14103.63284375
transcript.pyannote[2031].speaker SPEAKER_20
transcript.pyannote[2031].start 14104.37534375
transcript.pyannote[2031].end 14104.39221875
transcript.pyannote[2032].speaker SPEAKER_08
transcript.pyannote[2032].start 14104.39221875
transcript.pyannote[2032].end 14105.43846875
transcript.pyannote[2033].speaker SPEAKER_20
transcript.pyannote[2033].start 14104.61159375
transcript.pyannote[2033].end 14104.64534375
transcript.pyannote[2034].speaker SPEAKER_26
transcript.pyannote[2034].start 14104.64534375
transcript.pyannote[2034].end 14104.89846875
transcript.pyannote[2035].speaker SPEAKER_20
transcript.pyannote[2035].start 14104.89846875
transcript.pyannote[2035].end 14104.91534375
transcript.pyannote[2036].speaker SPEAKER_26
transcript.pyannote[2036].start 14106.19784375
transcript.pyannote[2036].end 14111.73284375
transcript.pyannote[2037].speaker SPEAKER_26
transcript.pyannote[2037].start 14112.00284375
transcript.pyannote[2037].end 14129.36721875
transcript.pyannote[2038].speaker SPEAKER_20
transcript.pyannote[2038].start 14114.26409375
transcript.pyannote[2038].end 14114.61846875
transcript.pyannote[2039].speaker SPEAKER_08
transcript.pyannote[2039].start 14128.38846875
transcript.pyannote[2039].end 14132.75909375
transcript.pyannote[2040].speaker SPEAKER_08
transcript.pyannote[2040].start 14133.75471875
transcript.pyannote[2040].end 14164.51784375
transcript.pyannote[2041].speaker SPEAKER_26
transcript.pyannote[2041].start 14165.05784375
transcript.pyannote[2041].end 14176.58346875
transcript.pyannote[2042].speaker SPEAKER_08
transcript.pyannote[2042].start 14169.81659375
transcript.pyannote[2042].end 14171.92596875
transcript.pyannote[2043].speaker SPEAKER_08
transcript.pyannote[2043].start 14172.39846875
transcript.pyannote[2043].end 14187.56909375
transcript.pyannote[2044].speaker SPEAKER_26
transcript.pyannote[2044].start 14186.20221875
transcript.pyannote[2044].end 14189.49284375
transcript.pyannote[2045].speaker SPEAKER_06
transcript.pyannote[2045].start 14187.56909375
transcript.pyannote[2045].end 14187.78846875
transcript.pyannote[2046].speaker SPEAKER_08
transcript.pyannote[2046].start 14187.78846875
transcript.pyannote[2046].end 14188.00784375
transcript.pyannote[2047].speaker SPEAKER_06
transcript.pyannote[2047].start 14188.00784375
transcript.pyannote[2047].end 14188.14284375
transcript.pyannote[2048].speaker SPEAKER_06
transcript.pyannote[2048].start 14191.97346875
transcript.pyannote[2048].end 14194.03221875
transcript.pyannote[2049].speaker SPEAKER_06
transcript.pyannote[2049].start 14195.16284375
transcript.pyannote[2049].end 14198.65596875
transcript.pyannote[2050].speaker SPEAKER_13
transcript.pyannote[2050].start 14209.38846875
transcript.pyannote[2050].end 14220.25596875
transcript.pyannote[2051].speaker SPEAKER_06
transcript.pyannote[2051].start 14217.94409375
transcript.pyannote[2051].end 14219.12534375
transcript.pyannote[2052].speaker SPEAKER_06
transcript.pyannote[2052].start 14220.25596875
transcript.pyannote[2052].end 14222.23034375
transcript.pyannote[2053].speaker SPEAKER_13
transcript.pyannote[2053].start 14224.86284375
transcript.pyannote[2053].end 14229.80721875
transcript.pyannote[2054].speaker SPEAKER_13
transcript.pyannote[2054].start 14230.17846875
transcript.pyannote[2054].end 14236.89471875
transcript.pyannote[2055].speaker SPEAKER_13
transcript.pyannote[2055].start 14237.36721875
transcript.pyannote[2055].end 14262.61221875
transcript.pyannote[2056].speaker SPEAKER_13
transcript.pyannote[2056].start 14262.98346875
transcript.pyannote[2056].end 14263.81034375
transcript.pyannote[2057].speaker SPEAKER_18
transcript.pyannote[2057].start 14263.01721875
transcript.pyannote[2057].end 14263.55721875
transcript.pyannote[2058].speaker SPEAKER_18
transcript.pyannote[2058].start 14264.21534375
transcript.pyannote[2058].end 14268.40034375
transcript.pyannote[2059].speaker SPEAKER_13
transcript.pyannote[2059].start 14267.82659375
transcript.pyannote[2059].end 14268.28221875
transcript.pyannote[2060].speaker SPEAKER_18
transcript.pyannote[2060].start 14268.80534375
transcript.pyannote[2060].end 14316.12284375
transcript.pyannote[2061].speaker SPEAKER_13
transcript.pyannote[2061].start 14315.09346875
transcript.pyannote[2061].end 14319.64971875
transcript.pyannote[2062].speaker SPEAKER_18
transcript.pyannote[2062].start 14320.67909375
transcript.pyannote[2062].end 14323.91909375
transcript.pyannote[2063].speaker SPEAKER_13
transcript.pyannote[2063].start 14323.41284375
transcript.pyannote[2063].end 14323.49721875
transcript.pyannote[2064].speaker SPEAKER_13
transcript.pyannote[2064].start 14323.51409375
transcript.pyannote[2064].end 14334.17909375
transcript.pyannote[2065].speaker SPEAKER_13
transcript.pyannote[2065].start 14334.56721875
transcript.pyannote[2065].end 14347.30784375
transcript.pyannote[2066].speaker SPEAKER_13
transcript.pyannote[2066].start 14348.11784375
transcript.pyannote[2066].end 14351.89784375
transcript.pyannote[2067].speaker SPEAKER_27
transcript.pyannote[2067].start 14352.55596875
transcript.pyannote[2067].end 14353.01159375
transcript.pyannote[2068].speaker SPEAKER_27
transcript.pyannote[2068].start 14353.29846875
transcript.pyannote[2068].end 14355.01971875
transcript.pyannote[2069].speaker SPEAKER_13
transcript.pyannote[2069].start 14355.01971875
transcript.pyannote[2069].end 14364.57096875
transcript.pyannote[2070].speaker SPEAKER_13
transcript.pyannote[2070].start 14364.80721875
transcript.pyannote[2070].end 14366.71409375
transcript.pyannote[2071].speaker SPEAKER_27
transcript.pyannote[2071].start 14367.20346875
transcript.pyannote[2071].end 14367.43971875
transcript.pyannote[2072].speaker SPEAKER_13
transcript.pyannote[2072].start 14367.43971875
transcript.pyannote[2072].end 14369.31284375
transcript.pyannote[2073].speaker SPEAKER_27
transcript.pyannote[2073].start 14369.98784375
transcript.pyannote[2073].end 14375.26971875
transcript.pyannote[2074].speaker SPEAKER_13
transcript.pyannote[2074].start 14375.53971875
transcript.pyannote[2074].end 14377.48034375
transcript.pyannote[2075].speaker SPEAKER_27
transcript.pyannote[2075].start 14377.27784375
transcript.pyannote[2075].end 14380.43346875
transcript.pyannote[2076].speaker SPEAKER_13
transcript.pyannote[2076].start 14377.49721875
transcript.pyannote[2076].end 14377.53096875
transcript.pyannote[2077].speaker SPEAKER_13
transcript.pyannote[2077].start 14378.94846875
transcript.pyannote[2077].end 14381.32784375
transcript.pyannote[2078].speaker SPEAKER_13
transcript.pyannote[2078].start 14381.58096875
transcript.pyannote[2078].end 14389.17471875
transcript.pyannote[2079].speaker SPEAKER_13
transcript.pyannote[2079].start 14389.22534375
transcript.pyannote[2079].end 14394.10221875
transcript.pyannote[2080].speaker SPEAKER_20
transcript.pyannote[2080].start 14394.33846875
transcript.pyannote[2080].end 14394.49034375
transcript.pyannote[2081].speaker SPEAKER_27
transcript.pyannote[2081].start 14394.49034375
transcript.pyannote[2081].end 14394.50721875
transcript.pyannote[2082].speaker SPEAKER_20
transcript.pyannote[2082].start 14394.50721875
transcript.pyannote[2082].end 14394.57471875
transcript.pyannote[2083].speaker SPEAKER_13
transcript.pyannote[2083].start 14394.50721875
transcript.pyannote[2083].end 14398.77659375
transcript.pyannote[2084].speaker SPEAKER_27
transcript.pyannote[2084].start 14394.57471875
transcript.pyannote[2084].end 14394.87846875
transcript.pyannote[2085].speaker SPEAKER_20
transcript.pyannote[2085].start 14394.87846875
transcript.pyannote[2085].end 14394.96284375
transcript.pyannote[2086].speaker SPEAKER_27
transcript.pyannote[2086].start 14399.50221875
transcript.pyannote[2086].end 14401.51034375
transcript.pyannote[2087].speaker SPEAKER_13
transcript.pyannote[2087].start 14401.51034375
transcript.pyannote[2087].end 14407.31534375
transcript.pyannote[2088].speaker SPEAKER_27
transcript.pyannote[2088].start 14402.08409375
transcript.pyannote[2088].end 14402.38784375
transcript.pyannote[2089].speaker SPEAKER_27
transcript.pyannote[2089].start 14408.86784375
transcript.pyannote[2089].end 14411.28096875
transcript.pyannote[2090].speaker SPEAKER_27
transcript.pyannote[2090].start 14411.48346875
transcript.pyannote[2090].end 14412.22596875
transcript.pyannote[2091].speaker SPEAKER_13
transcript.pyannote[2091].start 14412.25971875
transcript.pyannote[2091].end 14418.79034375
transcript.pyannote[2092].speaker SPEAKER_27
transcript.pyannote[2092].start 14419.80284375
transcript.pyannote[2092].end 14426.53596875
transcript.pyannote[2093].speaker SPEAKER_13
transcript.pyannote[2093].start 14423.54909375
transcript.pyannote[2093].end 14424.24096875
transcript.pyannote[2094].speaker SPEAKER_13
transcript.pyannote[2094].start 14426.02971875
transcript.pyannote[2094].end 14431.41284375
transcript.pyannote[2095].speaker SPEAKER_13
transcript.pyannote[2095].start 14431.90221875
transcript.pyannote[2095].end 14435.54721875
transcript.pyannote[2096].speaker SPEAKER_13
transcript.pyannote[2096].start 14435.80034375
transcript.pyannote[2096].end 14453.60346875
transcript.pyannote[2097].speaker SPEAKER_13
transcript.pyannote[2097].start 14454.29534375
transcript.pyannote[2097].end 14459.62784375
transcript.pyannote[2098].speaker SPEAKER_13
transcript.pyannote[2098].start 14460.55596875
transcript.pyannote[2098].end 14466.86721875
transcript.pyannote[2099].speaker SPEAKER_27
transcript.pyannote[2099].start 14462.51346875
transcript.pyannote[2099].end 14462.96909375
transcript.pyannote[2100].speaker SPEAKER_13
transcript.pyannote[2100].start 14467.39034375
transcript.pyannote[2100].end 14469.66846875
transcript.pyannote[2101].speaker SPEAKER_13
transcript.pyannote[2101].start 14470.07346875
transcript.pyannote[2101].end 14472.36846875
transcript.pyannote[2102].speaker SPEAKER_27
transcript.pyannote[2102].start 14473.90409375
transcript.pyannote[2102].end 14477.19471875
transcript.pyannote[2103].speaker SPEAKER_13
transcript.pyannote[2103].start 14476.95846875
transcript.pyannote[2103].end 14483.06721875
transcript.pyannote[2104].speaker SPEAKER_13
transcript.pyannote[2104].start 14483.53971875
transcript.pyannote[2104].end 14489.74971875
transcript.pyannote[2105].speaker SPEAKER_27
transcript.pyannote[2105].start 14490.08721875
transcript.pyannote[2105].end 14493.59721875
transcript.pyannote[2106].speaker SPEAKER_27
transcript.pyannote[2106].start 14494.30596875
transcript.pyannote[2106].end 14501.51159375
transcript.pyannote[2107].speaker SPEAKER_13
transcript.pyannote[2107].start 14499.53721875
transcript.pyannote[2107].end 14500.49909375
transcript.pyannote[2108].speaker SPEAKER_13
transcript.pyannote[2108].start 14500.68471875
transcript.pyannote[2108].end 14507.14784375
transcript.pyannote[2109].speaker SPEAKER_13
transcript.pyannote[2109].start 14507.58659375
transcript.pyannote[2109].end 14508.80159375
transcript.pyannote[2110].speaker SPEAKER_27
transcript.pyannote[2110].start 14508.80159375
transcript.pyannote[2110].end 14512.90221875
transcript.pyannote[2111].speaker SPEAKER_13
transcript.pyannote[2111].start 14512.53096875
transcript.pyannote[2111].end 14515.38284375
transcript.pyannote[2112].speaker SPEAKER_13
transcript.pyannote[2112].start 14516.66534375
transcript.pyannote[2112].end 14521.57596875
transcript.pyannote[2113].speaker SPEAKER_17
transcript.pyannote[2113].start 14521.25534375
transcript.pyannote[2113].end 14521.27221875
transcript.pyannote[2114].speaker SPEAKER_27
transcript.pyannote[2114].start 14521.27221875
transcript.pyannote[2114].end 14521.54221875
transcript.pyannote[2115].speaker SPEAKER_13
transcript.pyannote[2115].start 14522.04846875
transcript.pyannote[2115].end 14524.47846875
transcript.pyannote[2116].speaker SPEAKER_13
transcript.pyannote[2116].start 14524.71471875
transcript.pyannote[2116].end 14527.60034375
transcript.pyannote[2117].speaker SPEAKER_13
transcript.pyannote[2117].start 14527.92096875
transcript.pyannote[2117].end 14530.21596875
transcript.pyannote[2118].speaker SPEAKER_27
transcript.pyannote[2118].start 14531.22846875
transcript.pyannote[2118].end 14536.40909375
transcript.pyannote[2119].speaker SPEAKER_13
transcript.pyannote[2119].start 14536.78034375
transcript.pyannote[2119].end 14537.10096875
transcript.pyannote[2120].speaker SPEAKER_13
transcript.pyannote[2120].start 14538.09659375
transcript.pyannote[2120].end 14539.31159375
transcript.pyannote[2121].speaker SPEAKER_13
transcript.pyannote[2121].start 14540.17221875
transcript.pyannote[2121].end 14544.55971875
transcript.pyannote[2122].speaker SPEAKER_27
transcript.pyannote[2122].start 14546.88846875
transcript.pyannote[2122].end 14557.62096875
transcript.pyannote[2123].speaker SPEAKER_13
transcript.pyannote[2123].start 14557.03034375
transcript.pyannote[2123].end 14567.72909375
transcript.pyannote[2124].speaker SPEAKER_13
transcript.pyannote[2124].start 14568.08346875
transcript.pyannote[2124].end 14570.73284375
transcript.pyannote[2125].speaker SPEAKER_13
transcript.pyannote[2125].start 14570.91846875
transcript.pyannote[2125].end 14577.92159375
transcript.pyannote[2126].speaker SPEAKER_13
transcript.pyannote[2126].start 14578.36034375
transcript.pyannote[2126].end 14579.47409375
transcript.pyannote[2127].speaker SPEAKER_13
transcript.pyannote[2127].start 14579.60909375
transcript.pyannote[2127].end 14579.62596875
transcript.pyannote[2128].speaker SPEAKER_20
transcript.pyannote[2128].start 14579.62596875
transcript.pyannote[2128].end 14580.31784375
transcript.pyannote[2129].speaker SPEAKER_13
transcript.pyannote[2129].start 14579.72721875
transcript.pyannote[2129].end 14585.49846875
transcript.pyannote[2130].speaker SPEAKER_13
transcript.pyannote[2130].start 14586.07221875
transcript.pyannote[2130].end 14586.57846875
transcript.pyannote[2131].speaker SPEAKER_27
transcript.pyannote[2131].start 14586.57846875
transcript.pyannote[2131].end 14587.28721875
transcript.pyannote[2132].speaker SPEAKER_13
transcript.pyannote[2132].start 14587.37159375
transcript.pyannote[2132].end 14589.85221875
transcript.pyannote[2133].speaker SPEAKER_27
transcript.pyannote[2133].start 14589.85221875
transcript.pyannote[2133].end 14590.39221875
transcript.pyannote[2134].speaker SPEAKER_06
transcript.pyannote[2134].start 14591.03346875
transcript.pyannote[2134].end 14596.41659375
transcript.pyannote[2135].speaker SPEAKER_20
transcript.pyannote[2135].start 14604.19596875
transcript.pyannote[2135].end 14605.44471875
transcript.pyannote[2136].speaker SPEAKER_20
transcript.pyannote[2136].start 14606.96346875
transcript.pyannote[2136].end 14607.03096875
transcript.pyannote[2137].speaker SPEAKER_06
transcript.pyannote[2137].start 14615.90721875
transcript.pyannote[2137].end 14619.16409375
transcript.pyannote[2138].speaker SPEAKER_17
transcript.pyannote[2138].start 14617.78034375
transcript.pyannote[2138].end 14618.06721875
transcript.pyannote[2139].speaker SPEAKER_17
transcript.pyannote[2139].start 14623.92284375
transcript.pyannote[2139].end 14624.41221875
transcript.pyannote[2140].speaker SPEAKER_17
transcript.pyannote[2140].start 14625.01971875
transcript.pyannote[2140].end 14626.03221875
transcript.pyannote[2141].speaker SPEAKER_17
transcript.pyannote[2141].start 14626.38659375
transcript.pyannote[2141].end 14630.50409375
transcript.pyannote[2142].speaker SPEAKER_17
transcript.pyannote[2142].start 14631.09471875
transcript.pyannote[2142].end 14634.52034375
transcript.pyannote[2143].speaker SPEAKER_17
transcript.pyannote[2143].start 14635.06034375
transcript.pyannote[2143].end 14635.88721875
transcript.pyannote[2144].speaker SPEAKER_17
transcript.pyannote[2144].start 14636.34284375
transcript.pyannote[2144].end 14640.03846875
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 14642.41784375
transcript.pyannote[2145].end 14647.90221875
transcript.pyannote[2146].speaker SPEAKER_27
transcript.pyannote[2146].start 14647.27784375
transcript.pyannote[2146].end 14654.02784375
transcript.pyannote[2147].speaker SPEAKER_17
transcript.pyannote[2147].start 14648.35784375
transcript.pyannote[2147].end 14648.54346875
transcript.pyannote[2148].speaker SPEAKER_17
transcript.pyannote[2148].start 14655.59721875
transcript.pyannote[2148].end 14659.69784375
transcript.pyannote[2149].speaker SPEAKER_17
transcript.pyannote[2149].start 14659.96784375
transcript.pyannote[2149].end 14664.74346875
transcript.pyannote[2150].speaker SPEAKER_27
transcript.pyannote[2150].start 14665.04721875
transcript.pyannote[2150].end 14671.18971875
transcript.pyannote[2151].speaker SPEAKER_17
transcript.pyannote[2151].start 14671.18971875
transcript.pyannote[2151].end 14672.99534375
transcript.pyannote[2152].speaker SPEAKER_17
transcript.pyannote[2152].start 14673.33284375
transcript.pyannote[2152].end 14676.75846875
transcript.pyannote[2153].speaker SPEAKER_17
transcript.pyannote[2153].start 14677.23096875
transcript.pyannote[2153].end 14680.79159375
transcript.pyannote[2154].speaker SPEAKER_27
transcript.pyannote[2154].start 14680.45409375
transcript.pyannote[2154].end 14680.53846875
transcript.pyannote[2155].speaker SPEAKER_27
transcript.pyannote[2155].start 14680.79159375
transcript.pyannote[2155].end 14681.78721875
transcript.pyannote[2156].speaker SPEAKER_27
transcript.pyannote[2156].start 14682.36096875
transcript.pyannote[2156].end 14697.97034375
transcript.pyannote[2157].speaker SPEAKER_17
transcript.pyannote[2157].start 14697.97034375
transcript.pyannote[2157].end 14700.45096875
transcript.pyannote[2158].speaker SPEAKER_17
transcript.pyannote[2158].start 14701.17659375
transcript.pyannote[2158].end 14702.71221875
transcript.pyannote[2159].speaker SPEAKER_17
transcript.pyannote[2159].start 14703.04971875
transcript.pyannote[2159].end 14710.99784375
transcript.pyannote[2160].speaker SPEAKER_17
transcript.pyannote[2160].start 14711.13284375
transcript.pyannote[2160].end 14712.55034375
transcript.pyannote[2161].speaker SPEAKER_17
transcript.pyannote[2161].start 14713.46159375
transcript.pyannote[2161].end 14715.16596875
transcript.pyannote[2162].speaker SPEAKER_17
transcript.pyannote[2162].start 14715.45284375
transcript.pyannote[2162].end 14715.99284375
transcript.pyannote[2163].speaker SPEAKER_17
transcript.pyannote[2163].start 14716.43159375
transcript.pyannote[2163].end 14717.89971875
transcript.pyannote[2164].speaker SPEAKER_17
transcript.pyannote[2164].start 14719.30034375
transcript.pyannote[2164].end 14721.46034375
transcript.pyannote[2165].speaker SPEAKER_17
transcript.pyannote[2165].start 14722.99596875
transcript.pyannote[2165].end 14724.14346875
transcript.pyannote[2166].speaker SPEAKER_17
transcript.pyannote[2166].start 14724.83534375
transcript.pyannote[2166].end 14726.87721875
transcript.pyannote[2167].speaker SPEAKER_17
transcript.pyannote[2167].start 14727.40034375
transcript.pyannote[2167].end 14730.96096875
transcript.pyannote[2168].speaker SPEAKER_17
transcript.pyannote[2168].start 14732.05784375
transcript.pyannote[2168].end 14737.47471875
transcript.pyannote[2169].speaker SPEAKER_17
transcript.pyannote[2169].start 14737.96409375
transcript.pyannote[2169].end 14740.56284375
transcript.pyannote[2170].speaker SPEAKER_17
transcript.pyannote[2170].start 14741.11971875
transcript.pyannote[2170].end 14743.19534375
transcript.pyannote[2171].speaker SPEAKER_17
transcript.pyannote[2171].start 14744.19096875
transcript.pyannote[2171].end 14745.57471875
transcript.pyannote[2172].speaker SPEAKER_17
transcript.pyannote[2172].start 14745.94596875
transcript.pyannote[2172].end 14746.46909375
transcript.pyannote[2173].speaker SPEAKER_17
transcript.pyannote[2173].start 14747.04284375
transcript.pyannote[2173].end 14749.70909375
transcript.pyannote[2174].speaker SPEAKER_17
transcript.pyannote[2174].start 14750.63721875
transcript.pyannote[2174].end 14753.40471875
transcript.pyannote[2175].speaker SPEAKER_27
transcript.pyannote[2175].start 14753.40471875
transcript.pyannote[2175].end 14762.43284375
transcript.pyannote[2176].speaker SPEAKER_27
transcript.pyannote[2176].start 14762.77034375
transcript.pyannote[2176].end 14776.37159375
transcript.pyannote[2177].speaker SPEAKER_17
transcript.pyannote[2177].start 14777.41784375
transcript.pyannote[2177].end 14791.47471875
transcript.pyannote[2178].speaker SPEAKER_27
transcript.pyannote[2178].start 14791.47471875
transcript.pyannote[2178].end 14791.86284375
transcript.pyannote[2179].speaker SPEAKER_17
transcript.pyannote[2179].start 14792.30159375
transcript.pyannote[2179].end 14793.49971875
transcript.pyannote[2180].speaker SPEAKER_17
transcript.pyannote[2180].start 14794.44471875
transcript.pyannote[2180].end 14794.81596875
transcript.pyannote[2181].speaker SPEAKER_17
transcript.pyannote[2181].start 14795.50784375
transcript.pyannote[2181].end 14795.92971875
transcript.pyannote[2182].speaker SPEAKER_17
transcript.pyannote[2182].start 14796.19971875
transcript.pyannote[2182].end 14799.55784375
transcript.pyannote[2183].speaker SPEAKER_17
transcript.pyannote[2183].start 14800.24971875
transcript.pyannote[2183].end 14806.76346875
transcript.pyannote[2184].speaker SPEAKER_17
transcript.pyannote[2184].start 14806.96596875
transcript.pyannote[2184].end 14813.66534375
transcript.pyannote[2185].speaker SPEAKER_17
transcript.pyannote[2185].start 14813.83409375
transcript.pyannote[2185].end 14819.62221875
transcript.pyannote[2186].speaker SPEAKER_17
transcript.pyannote[2186].start 14820.12846875
transcript.pyannote[2186].end 14823.94221875
transcript.pyannote[2187].speaker SPEAKER_17
transcript.pyannote[2187].start 14824.41471875
transcript.pyannote[2187].end 14832.66659375
transcript.pyannote[2188].speaker SPEAKER_17
transcript.pyannote[2188].start 14832.91971875
transcript.pyannote[2188].end 14835.58596875
transcript.pyannote[2189].speaker SPEAKER_17
transcript.pyannote[2189].start 14835.99096875
transcript.pyannote[2189].end 14836.42971875
transcript.pyannote[2190].speaker SPEAKER_27
transcript.pyannote[2190].start 14836.42971875
transcript.pyannote[2190].end 14836.56471875
transcript.pyannote[2191].speaker SPEAKER_17
transcript.pyannote[2191].start 14836.56471875
transcript.pyannote[2191].end 14837.03721875
transcript.pyannote[2192].speaker SPEAKER_27
transcript.pyannote[2192].start 14837.03721875
transcript.pyannote[2192].end 14866.72034375
transcript.pyannote[2193].speaker SPEAKER_17
transcript.pyannote[2193].start 14867.42909375
transcript.pyannote[2193].end 14899.94721875
transcript.pyannote[2194].speaker SPEAKER_20
transcript.pyannote[2194].start 14899.94721875
transcript.pyannote[2194].end 14900.30159375
transcript.pyannote[2195].speaker SPEAKER_17
transcript.pyannote[2195].start 14900.30159375
transcript.pyannote[2195].end 14905.43159375
transcript.pyannote[2196].speaker SPEAKER_17
transcript.pyannote[2196].start 14906.42721875
transcript.pyannote[2196].end 14909.46471875
transcript.pyannote[2197].speaker SPEAKER_17
transcript.pyannote[2197].start 14910.71346875
transcript.pyannote[2197].end 14914.32471875
transcript.pyannote[2198].speaker SPEAKER_17
transcript.pyannote[2198].start 14915.05034375
transcript.pyannote[2198].end 14918.57721875
transcript.pyannote[2199].speaker SPEAKER_17
transcript.pyannote[2199].start 14918.81346875
transcript.pyannote[2199].end 14924.88846875
transcript.pyannote[2200].speaker SPEAKER_17
transcript.pyannote[2200].start 14925.58034375
transcript.pyannote[2200].end 14929.34346875
transcript.pyannote[2201].speaker SPEAKER_17
transcript.pyannote[2201].start 14929.63034375
transcript.pyannote[2201].end 14930.98034375
transcript.pyannote[2202].speaker SPEAKER_17
transcript.pyannote[2202].start 14931.90846875
transcript.pyannote[2202].end 14931.92534375
transcript.pyannote[2203].speaker SPEAKER_27
transcript.pyannote[2203].start 14931.92534375
transcript.pyannote[2203].end 14939.87346875
transcript.pyannote[2204].speaker SPEAKER_17
transcript.pyannote[2204].start 14938.94534375
transcript.pyannote[2204].end 14940.39659375
transcript.pyannote[2205].speaker SPEAKER_27
transcript.pyannote[2205].start 14940.39659375
transcript.pyannote[2205].end 14940.41346875
transcript.pyannote[2206].speaker SPEAKER_17
transcript.pyannote[2206].start 14940.41346875
transcript.pyannote[2206].end 14940.81846875
transcript.pyannote[2207].speaker SPEAKER_27
transcript.pyannote[2207].start 14940.81846875
transcript.pyannote[2207].end 14940.90284375
transcript.pyannote[2208].speaker SPEAKER_17
transcript.pyannote[2208].start 14940.90284375
transcript.pyannote[2208].end 14940.95346875
transcript.pyannote[2209].speaker SPEAKER_27
transcript.pyannote[2209].start 14940.95346875
transcript.pyannote[2209].end 14940.97034375
transcript.pyannote[2210].speaker SPEAKER_17
transcript.pyannote[2210].start 14940.97034375
transcript.pyannote[2210].end 14942.43846875
transcript.pyannote[2211].speaker SPEAKER_17
transcript.pyannote[2211].start 14943.33284375
transcript.pyannote[2211].end 14946.26909375
transcript.pyannote[2212].speaker SPEAKER_27
transcript.pyannote[2212].start 14947.82159375
transcript.pyannote[2212].end 14947.97346875
transcript.pyannote[2213].speaker SPEAKER_17
transcript.pyannote[2213].start 14947.97346875
transcript.pyannote[2213].end 14957.71034375
transcript.pyannote[2214].speaker SPEAKER_27
transcript.pyannote[2214].start 14957.92971875
transcript.pyannote[2214].end 14958.33471875
transcript.pyannote[2215].speaker SPEAKER_17
transcript.pyannote[2215].start 14958.36846875
transcript.pyannote[2215].end 14963.41409375
transcript.pyannote[2216].speaker SPEAKER_17
transcript.pyannote[2216].start 14964.32534375
transcript.pyannote[2216].end 14968.78034375
transcript.pyannote[2217].speaker SPEAKER_17
transcript.pyannote[2217].start 14969.64096875
transcript.pyannote[2217].end 14971.32846875
transcript.pyannote[2218].speaker SPEAKER_17
transcript.pyannote[2218].start 14972.15534375
transcript.pyannote[2218].end 14975.86784375
transcript.pyannote[2219].speaker SPEAKER_17
transcript.pyannote[2219].start 14977.67346875
transcript.pyannote[2219].end 14978.34846875
transcript.pyannote[2220].speaker SPEAKER_17
transcript.pyannote[2220].start 14979.31034375
transcript.pyannote[2220].end 14979.52971875
transcript.pyannote[2221].speaker SPEAKER_17
transcript.pyannote[2221].start 14979.71534375
transcript.pyannote[2221].end 14984.89596875
transcript.pyannote[2222].speaker SPEAKER_17
transcript.pyannote[2222].start 14985.79034375
transcript.pyannote[2222].end 14988.72659375
transcript.pyannote[2223].speaker SPEAKER_20
transcript.pyannote[2223].start 14986.97159375
transcript.pyannote[2223].end 14987.00534375
transcript.pyannote[2224].speaker SPEAKER_17
transcript.pyannote[2224].start 14989.48596875
transcript.pyannote[2224].end 14991.73034375
transcript.pyannote[2225].speaker SPEAKER_17
transcript.pyannote[2225].start 14992.06784375
transcript.pyannote[2225].end 14999.98221875
transcript.pyannote[2226].speaker SPEAKER_17
transcript.pyannote[2226].start 15000.31971875
transcript.pyannote[2226].end 15002.88471875
transcript.pyannote[2227].speaker SPEAKER_17
transcript.pyannote[2227].start 15003.89721875
transcript.pyannote[2227].end 15005.38221875
transcript.pyannote[2228].speaker SPEAKER_17
transcript.pyannote[2228].start 15005.87159375
transcript.pyannote[2228].end 15007.64346875
transcript.pyannote[2229].speaker SPEAKER_17
transcript.pyannote[2229].start 15007.91346875
transcript.pyannote[2229].end 15010.57971875
transcript.pyannote[2230].speaker SPEAKER_17
transcript.pyannote[2230].start 15010.81596875
transcript.pyannote[2230].end 15012.26721875
transcript.pyannote[2231].speaker SPEAKER_17
transcript.pyannote[2231].start 15013.17846875
transcript.pyannote[2231].end 15014.19096875
transcript.pyannote[2232].speaker SPEAKER_27
transcript.pyannote[2232].start 15016.60409375
transcript.pyannote[2232].end 15039.21659375
transcript.pyannote[2233].speaker SPEAKER_27
transcript.pyannote[2233].start 15039.65534375
transcript.pyannote[2233].end 15050.05034375
transcript.pyannote[2234].speaker SPEAKER_27
transcript.pyannote[2234].start 15050.74221875
transcript.pyannote[2234].end 15053.81346875
transcript.pyannote[2235].speaker SPEAKER_17
transcript.pyannote[2235].start 15054.64034375
transcript.pyannote[2235].end 15058.55534375
transcript.pyannote[2236].speaker SPEAKER_17
transcript.pyannote[2236].start 15058.75784375
transcript.pyannote[2236].end 15061.35659375
transcript.pyannote[2237].speaker SPEAKER_17
transcript.pyannote[2237].start 15062.03159375
transcript.pyannote[2237].end 15064.49534375
transcript.pyannote[2238].speaker SPEAKER_17
transcript.pyannote[2238].start 15065.22096875
transcript.pyannote[2238].end 15074.29971875
transcript.pyannote[2239].speaker SPEAKER_17
transcript.pyannote[2239].start 15074.77221875
transcript.pyannote[2239].end 15079.58159375
transcript.pyannote[2240].speaker SPEAKER_17
transcript.pyannote[2240].start 15080.17221875
transcript.pyannote[2240].end 15084.54284375
transcript.pyannote[2241].speaker SPEAKER_17
transcript.pyannote[2241].start 15085.09971875
transcript.pyannote[2241].end 15086.07846875
transcript.pyannote[2242].speaker SPEAKER_17
transcript.pyannote[2242].start 15087.24284375
transcript.pyannote[2242].end 15087.73221875
transcript.pyannote[2243].speaker SPEAKER_17
transcript.pyannote[2243].start 15088.12034375
transcript.pyannote[2243].end 15090.28034375
transcript.pyannote[2244].speaker SPEAKER_17
transcript.pyannote[2244].start 15090.82034375
transcript.pyannote[2244].end 15093.45284375
transcript.pyannote[2245].speaker SPEAKER_17
transcript.pyannote[2245].start 15094.11096875
transcript.pyannote[2245].end 15095.30909375
transcript.pyannote[2246].speaker SPEAKER_17
transcript.pyannote[2246].start 15096.18659375
transcript.pyannote[2246].end 15098.19471875
transcript.pyannote[2247].speaker SPEAKER_17
transcript.pyannote[2247].start 15098.70096875
transcript.pyannote[2247].end 15099.56159375
transcript.pyannote[2248].speaker SPEAKER_17
transcript.pyannote[2248].start 15099.86534375
transcript.pyannote[2248].end 15101.60346875
transcript.pyannote[2249].speaker SPEAKER_17
transcript.pyannote[2249].start 15101.78909375
transcript.pyannote[2249].end 15102.91971875
transcript.pyannote[2250].speaker SPEAKER_17
transcript.pyannote[2250].start 15103.78034375
transcript.pyannote[2250].end 15105.55221875
transcript.pyannote[2251].speaker SPEAKER_17
transcript.pyannote[2251].start 15106.31159375
transcript.pyannote[2251].end 15111.12096875
transcript.pyannote[2252].speaker SPEAKER_17
transcript.pyannote[2252].start 15111.59346875
transcript.pyannote[2252].end 15116.99346875
transcript.pyannote[2253].speaker SPEAKER_17
transcript.pyannote[2253].start 15117.41534375
transcript.pyannote[2253].end 15118.32659375
transcript.pyannote[2254].speaker SPEAKER_17
transcript.pyannote[2254].start 15119.00159375
transcript.pyannote[2254].end 15125.83596875
transcript.pyannote[2255].speaker SPEAKER_17
transcript.pyannote[2255].start 15126.32534375
transcript.pyannote[2255].end 15130.30784375
transcript.pyannote[2256].speaker SPEAKER_17
transcript.pyannote[2256].start 15130.79721875
transcript.pyannote[2256].end 15135.80909375
transcript.pyannote[2257].speaker SPEAKER_17
transcript.pyannote[2257].start 15136.38284375
transcript.pyannote[2257].end 15143.53784375
transcript.pyannote[2258].speaker SPEAKER_27
transcript.pyannote[2258].start 15139.55534375
transcript.pyannote[2258].end 15139.70721875
transcript.pyannote[2259].speaker SPEAKER_17
transcript.pyannote[2259].start 15144.60096875
transcript.pyannote[2259].end 15146.28846875
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 15146.47409375
transcript.pyannote[2260].end 15148.22909375
transcript.pyannote[2261].speaker SPEAKER_17
transcript.pyannote[2261].start 15149.52846875
transcript.pyannote[2261].end 15150.28784375
transcript.pyannote[2262].speaker SPEAKER_17
transcript.pyannote[2262].start 15151.38471875
transcript.pyannote[2262].end 15152.07659375
transcript.pyannote[2263].speaker SPEAKER_17
transcript.pyannote[2263].start 15152.97096875
transcript.pyannote[2263].end 15153.91596875
transcript.pyannote[2264].speaker SPEAKER_17
transcript.pyannote[2264].start 15154.70909375
transcript.pyannote[2264].end 15155.83971875
transcript.pyannote[2265].speaker SPEAKER_17
transcript.pyannote[2265].start 15156.16034375
transcript.pyannote[2265].end 15158.89409375
transcript.pyannote[2266].speaker SPEAKER_17
transcript.pyannote[2266].start 15159.80534375
transcript.pyannote[2266].end 15164.02409375
transcript.pyannote[2267].speaker SPEAKER_17
transcript.pyannote[2267].start 15164.56409375
transcript.pyannote[2267].end 15167.78721875
transcript.pyannote[2268].speaker SPEAKER_17
transcript.pyannote[2268].start 15168.68159375
transcript.pyannote[2268].end 15169.94721875
transcript.pyannote[2269].speaker SPEAKER_17
transcript.pyannote[2269].start 15170.82471875
transcript.pyannote[2269].end 15174.14909375
transcript.pyannote[2270].speaker SPEAKER_27
transcript.pyannote[2270].start 15175.87034375
transcript.pyannote[2270].end 15189.52221875
transcript.pyannote[2271].speaker SPEAKER_17
transcript.pyannote[2271].start 15189.52221875
transcript.pyannote[2271].end 15191.02409375
transcript.pyannote[2272].speaker SPEAKER_27
transcript.pyannote[2272].start 15189.77534375
transcript.pyannote[2272].end 15189.87659375
transcript.pyannote[2273].speaker SPEAKER_17
transcript.pyannote[2273].start 15191.19284375
transcript.pyannote[2273].end 15194.01096875
transcript.pyannote[2274].speaker SPEAKER_17
transcript.pyannote[2274].start 15194.12909375
transcript.pyannote[2274].end 15199.37721875
transcript.pyannote[2275].speaker SPEAKER_17
transcript.pyannote[2275].start 15200.22096875
transcript.pyannote[2275].end 15201.57096875
transcript.pyannote[2276].speaker SPEAKER_17
transcript.pyannote[2276].start 15203.00534375
transcript.pyannote[2276].end 15203.88284375
transcript.pyannote[2277].speaker SPEAKER_17
transcript.pyannote[2277].start 15204.89534375
transcript.pyannote[2277].end 15210.54846875
transcript.pyannote[2278].speaker SPEAKER_17
transcript.pyannote[2278].start 15211.32471875
transcript.pyannote[2278].end 15216.18471875
transcript.pyannote[2279].speaker SPEAKER_17
transcript.pyannote[2279].start 15218.91846875
transcript.pyannote[2279].end 15224.99346875
transcript.pyannote[2280].speaker SPEAKER_17
transcript.pyannote[2280].start 15225.55034375
transcript.pyannote[2280].end 15229.02659375
transcript.pyannote[2281].speaker SPEAKER_27
transcript.pyannote[2281].start 15229.02659375
transcript.pyannote[2281].end 15229.26284375
transcript.pyannote[2282].speaker SPEAKER_17
transcript.pyannote[2282].start 15229.26284375
transcript.pyannote[2282].end 15229.41471875
transcript.pyannote[2283].speaker SPEAKER_27
transcript.pyannote[2283].start 15229.41471875
transcript.pyannote[2283].end 15229.49909375
transcript.pyannote[2284].speaker SPEAKER_17
transcript.pyannote[2284].start 15229.49909375
transcript.pyannote[2284].end 15230.15721875
transcript.pyannote[2285].speaker SPEAKER_27
transcript.pyannote[2285].start 15229.63409375
transcript.pyannote[2285].end 15240.31596875
transcript.pyannote[2286].speaker SPEAKER_17
transcript.pyannote[2286].start 15240.87284375
transcript.pyannote[2286].end 15243.85971875
transcript.pyannote[2287].speaker SPEAKER_17
transcript.pyannote[2287].start 15244.26471875
transcript.pyannote[2287].end 15249.31034375
transcript.pyannote[2288].speaker SPEAKER_17
transcript.pyannote[2288].start 15250.20471875
transcript.pyannote[2288].end 15252.66846875
transcript.pyannote[2289].speaker SPEAKER_17
transcript.pyannote[2289].start 15253.05659375
transcript.pyannote[2289].end 15254.98034375
transcript.pyannote[2290].speaker SPEAKER_17
transcript.pyannote[2290].start 15255.43596875
transcript.pyannote[2290].end 15255.97596875
transcript.pyannote[2291].speaker SPEAKER_17
transcript.pyannote[2291].start 15256.26284375
transcript.pyannote[2291].end 15258.35534375
transcript.pyannote[2292].speaker SPEAKER_17
transcript.pyannote[2292].start 15258.84471875
transcript.pyannote[2292].end 15259.21596875
transcript.pyannote[2293].speaker SPEAKER_17
transcript.pyannote[2293].start 15259.45221875
transcript.pyannote[2293].end 15259.46909375
transcript.pyannote[2294].speaker SPEAKER_27
transcript.pyannote[2294].start 15259.46909375
transcript.pyannote[2294].end 15260.00909375
transcript.pyannote[2295].speaker SPEAKER_17
transcript.pyannote[2295].start 15260.00909375
transcript.pyannote[2295].end 15275.44971875
transcript.pyannote[2296].speaker SPEAKER_27
transcript.pyannote[2296].start 15275.71971875
transcript.pyannote[2296].end 15278.84159375
transcript.pyannote[2297].speaker SPEAKER_17
transcript.pyannote[2297].start 15276.15846875
transcript.pyannote[2297].end 15276.69846875
transcript.pyannote[2298].speaker SPEAKER_17
transcript.pyannote[2298].start 15276.90096875
transcript.pyannote[2298].end 15278.52096875
transcript.pyannote[2299].speaker SPEAKER_17
transcript.pyannote[2299].start 15278.84159375
transcript.pyannote[2299].end 15278.90909375
transcript.pyannote[2300].speaker SPEAKER_27
transcript.pyannote[2300].start 15278.90909375
transcript.pyannote[2300].end 15279.01034375
transcript.pyannote[2301].speaker SPEAKER_17
transcript.pyannote[2301].start 15279.01034375
transcript.pyannote[2301].end 15279.02721875
transcript.pyannote[2302].speaker SPEAKER_27
transcript.pyannote[2302].start 15279.02721875
transcript.pyannote[2302].end 15283.66784375
transcript.pyannote[2303].speaker SPEAKER_17
transcript.pyannote[2303].start 15279.56721875
transcript.pyannote[2303].end 15279.70221875
transcript.pyannote[2304].speaker SPEAKER_17
transcript.pyannote[2304].start 15283.66784375
transcript.pyannote[2304].end 15290.09721875
transcript.pyannote[2305].speaker SPEAKER_06
transcript.pyannote[2305].start 15289.13534375
transcript.pyannote[2305].end 15291.90284375
transcript.pyannote[2306].speaker SPEAKER_17
transcript.pyannote[2306].start 15290.29971875
transcript.pyannote[2306].end 15290.31659375
transcript.pyannote[2307].speaker SPEAKER_06
transcript.pyannote[2307].start 15292.17284375
transcript.pyannote[2307].end 15294.94034375
transcript.pyannote[2308].speaker SPEAKER_22
transcript.pyannote[2308].start 15296.30721875
transcript.pyannote[2308].end 15296.49284375
transcript.pyannote[2309].speaker SPEAKER_24
transcript.pyannote[2309].start 15303.51284375
transcript.pyannote[2309].end 15307.44471875
transcript.pyannote[2310].speaker SPEAKER_24
transcript.pyannote[2310].start 15308.27159375
transcript.pyannote[2310].end 15308.81159375
transcript.pyannote[2311].speaker SPEAKER_24
transcript.pyannote[2311].start 15308.96346875
transcript.pyannote[2311].end 15309.68909375
transcript.pyannote[2312].speaker SPEAKER_06
transcript.pyannote[2312].start 15309.03096875
transcript.pyannote[2312].end 15310.85346875
transcript.pyannote[2313].speaker SPEAKER_24
transcript.pyannote[2313].start 15313.31721875
transcript.pyannote[2313].end 15313.72221875
transcript.pyannote[2314].speaker SPEAKER_24
transcript.pyannote[2314].start 15314.66721875
transcript.pyannote[2314].end 15330.47909375
transcript.pyannote[2315].speaker SPEAKER_24
transcript.pyannote[2315].start 15330.81659375
transcript.pyannote[2315].end 15331.25534375
transcript.pyannote[2316].speaker SPEAKER_27
transcript.pyannote[2316].start 15330.95159375
transcript.pyannote[2316].end 15331.23846875
transcript.pyannote[2317].speaker SPEAKER_27
transcript.pyannote[2317].start 15331.25534375
transcript.pyannote[2317].end 15331.27221875
transcript.pyannote[2318].speaker SPEAKER_27
transcript.pyannote[2318].start 15331.40721875
transcript.pyannote[2318].end 15334.25909375
transcript.pyannote[2319].speaker SPEAKER_24
transcript.pyannote[2319].start 15333.98909375
transcript.pyannote[2319].end 15335.65971875
transcript.pyannote[2320].speaker SPEAKER_27
transcript.pyannote[2320].start 15336.16596875
transcript.pyannote[2320].end 15338.95034375
transcript.pyannote[2321].speaker SPEAKER_24
transcript.pyannote[2321].start 15339.37221875
transcript.pyannote[2321].end 15340.35096875
transcript.pyannote[2322].speaker SPEAKER_24
transcript.pyannote[2322].start 15340.70534375
transcript.pyannote[2322].end 15343.57409375
transcript.pyannote[2323].speaker SPEAKER_24
transcript.pyannote[2323].start 15344.24909375
transcript.pyannote[2323].end 15347.38784375
transcript.pyannote[2324].speaker SPEAKER_24
transcript.pyannote[2324].start 15347.86034375
transcript.pyannote[2324].end 15357.76596875
transcript.pyannote[2325].speaker SPEAKER_24
transcript.pyannote[2325].start 15358.15409375
transcript.pyannote[2325].end 15364.73534375
transcript.pyannote[2326].speaker SPEAKER_24
transcript.pyannote[2326].start 15364.95471875
transcript.pyannote[2326].end 15375.95721875
transcript.pyannote[2327].speaker SPEAKER_24
transcript.pyannote[2327].start 15376.39596875
transcript.pyannote[2327].end 15383.95596875
transcript.pyannote[2328].speaker SPEAKER_24
transcript.pyannote[2328].start 15384.17534375
transcript.pyannote[2328].end 15396.96659375
transcript.pyannote[2329].speaker SPEAKER_24
transcript.pyannote[2329].start 15397.43909375
transcript.pyannote[2329].end 15405.70784375
transcript.pyannote[2330].speaker SPEAKER_27
transcript.pyannote[2330].start 15406.45034375
transcript.pyannote[2330].end 15424.28721875
transcript.pyannote[2331].speaker SPEAKER_24
transcript.pyannote[2331].start 15423.98346875
transcript.pyannote[2331].end 15437.63534375
transcript.pyannote[2332].speaker SPEAKER_24
transcript.pyannote[2332].start 15437.83784375
transcript.pyannote[2332].end 15440.50409375
transcript.pyannote[2333].speaker SPEAKER_24
transcript.pyannote[2333].start 15440.65596875
transcript.pyannote[2333].end 15441.01034375
transcript.pyannote[2334].speaker SPEAKER_24
transcript.pyannote[2334].start 15441.83721875
transcript.pyannote[2334].end 15442.76534375
transcript.pyannote[2335].speaker SPEAKER_24
transcript.pyannote[2335].start 15443.17034375
transcript.pyannote[2335].end 15446.35971875
transcript.pyannote[2336].speaker SPEAKER_24
transcript.pyannote[2336].start 15446.59596875
transcript.pyannote[2336].end 15451.87784375
transcript.pyannote[2337].speaker SPEAKER_27
transcript.pyannote[2337].start 15446.79846875
transcript.pyannote[2337].end 15447.15284375
transcript.pyannote[2338].speaker SPEAKER_27
transcript.pyannote[2338].start 15451.92846875
transcript.pyannote[2338].end 15455.01659375
transcript.pyannote[2339].speaker SPEAKER_24
transcript.pyannote[2339].start 15456.29909375
transcript.pyannote[2339].end 15458.05409375
transcript.pyannote[2340].speaker SPEAKER_24
transcript.pyannote[2340].start 15458.71221875
transcript.pyannote[2340].end 15461.17596875
transcript.pyannote[2341].speaker SPEAKER_24
transcript.pyannote[2341].start 15461.32784375
transcript.pyannote[2341].end 15461.34471875
transcript.pyannote[2342].speaker SPEAKER_27
transcript.pyannote[2342].start 15461.34471875
transcript.pyannote[2342].end 15465.14159375
transcript.pyannote[2343].speaker SPEAKER_24
transcript.pyannote[2343].start 15461.36159375
transcript.pyannote[2343].end 15461.86784375
transcript.pyannote[2344].speaker SPEAKER_24
transcript.pyannote[2344].start 15464.19659375
transcript.pyannote[2344].end 15485.88096875
transcript.pyannote[2345].speaker SPEAKER_27
transcript.pyannote[2345].start 15465.96846875
transcript.pyannote[2345].end 15466.44096875
transcript.pyannote[2346].speaker SPEAKER_24
transcript.pyannote[2346].start 15486.26909375
transcript.pyannote[2346].end 15498.94221875
transcript.pyannote[2347].speaker SPEAKER_24
transcript.pyannote[2347].start 15499.26284375
transcript.pyannote[2347].end 15502.08096875
transcript.pyannote[2348].speaker SPEAKER_24
transcript.pyannote[2348].start 15502.43534375
transcript.pyannote[2348].end 15510.82221875
transcript.pyannote[2349].speaker SPEAKER_27
transcript.pyannote[2349].start 15511.34534375
transcript.pyannote[2349].end 15536.96159375
transcript.pyannote[2350].speaker SPEAKER_24
transcript.pyannote[2350].start 15535.66221875
transcript.pyannote[2350].end 15537.92346875
transcript.pyannote[2351].speaker SPEAKER_27
transcript.pyannote[2351].start 15537.92346875
transcript.pyannote[2351].end 15546.66471875
transcript.pyannote[2352].speaker SPEAKER_24
transcript.pyannote[2352].start 15546.36096875
transcript.pyannote[2352].end 15549.01034375
transcript.pyannote[2353].speaker SPEAKER_27
transcript.pyannote[2353].start 15548.99346875
transcript.pyannote[2353].end 15554.95034375
transcript.pyannote[2354].speaker SPEAKER_24
transcript.pyannote[2354].start 15555.32159375
transcript.pyannote[2354].end 15582.08534375
transcript.pyannote[2355].speaker SPEAKER_27
transcript.pyannote[2355].start 15582.74346875
transcript.pyannote[2355].end 15585.25784375
transcript.pyannote[2356].speaker SPEAKER_24
transcript.pyannote[2356].start 15584.85284375
transcript.pyannote[2356].end 15588.14346875
transcript.pyannote[2357].speaker SPEAKER_27
transcript.pyannote[2357].start 15590.75909375
transcript.pyannote[2357].end 15591.07971875
transcript.pyannote[2358].speaker SPEAKER_24
transcript.pyannote[2358].start 15591.23159375
transcript.pyannote[2358].end 15592.76721875
transcript.pyannote[2359].speaker SPEAKER_24
transcript.pyannote[2359].start 15592.96971875
transcript.pyannote[2359].end 15592.98659375
transcript.pyannote[2360].speaker SPEAKER_24
transcript.pyannote[2360].start 15593.20596875
transcript.pyannote[2360].end 15601.69409375
transcript.pyannote[2361].speaker SPEAKER_18
transcript.pyannote[2361].start 15602.65596875
transcript.pyannote[2361].end 15620.37471875
transcript.pyannote[2362].speaker SPEAKER_24
transcript.pyannote[2362].start 15619.39596875
transcript.pyannote[2362].end 15624.34034375
transcript.pyannote[2363].speaker SPEAKER_18
transcript.pyannote[2363].start 15625.09971875
transcript.pyannote[2363].end 15629.28471875
transcript.pyannote[2364].speaker SPEAKER_24
transcript.pyannote[2364].start 15628.64346875
transcript.pyannote[2364].end 15628.96409375
transcript.pyannote[2365].speaker SPEAKER_23
transcript.pyannote[2365].start 15628.96409375
transcript.pyannote[2365].end 15629.31846875
transcript.pyannote[2366].speaker SPEAKER_18
transcript.pyannote[2366].start 15629.31846875
transcript.pyannote[2366].end 15629.33534375
transcript.pyannote[2367].speaker SPEAKER_24
transcript.pyannote[2367].start 15629.33534375
transcript.pyannote[2367].end 15629.41971875
transcript.pyannote[2368].speaker SPEAKER_23
transcript.pyannote[2368].start 15629.41971875
transcript.pyannote[2368].end 15629.55471875
transcript.pyannote[2369].speaker SPEAKER_24
transcript.pyannote[2369].start 15629.55471875
transcript.pyannote[2369].end 15629.58846875
transcript.pyannote[2370].speaker SPEAKER_24
transcript.pyannote[2370].start 15629.72346875
transcript.pyannote[2370].end 15629.75721875
transcript.pyannote[2371].speaker SPEAKER_23
transcript.pyannote[2371].start 15629.75721875
transcript.pyannote[2371].end 15645.95721875
transcript.pyannote[2372].speaker SPEAKER_23
transcript.pyannote[2372].start 15646.19346875
transcript.pyannote[2372].end 15653.88846875
transcript.pyannote[2373].speaker SPEAKER_24
transcript.pyannote[2373].start 15652.99409375
transcript.pyannote[2373].end 15653.73659375
transcript.pyannote[2374].speaker SPEAKER_23
transcript.pyannote[2374].start 15654.25971875
transcript.pyannote[2374].end 15660.70596875
transcript.pyannote[2375].speaker SPEAKER_24
transcript.pyannote[2375].start 15660.70596875
transcript.pyannote[2375].end 15682.79534375
transcript.pyannote[2376].speaker SPEAKER_23
transcript.pyannote[2376].start 15661.46534375
transcript.pyannote[2376].end 15661.48221875
transcript.pyannote[2377].speaker SPEAKER_23
transcript.pyannote[2377].start 15661.49909375
transcript.pyannote[2377].end 15661.54971875
transcript.pyannote[2378].speaker SPEAKER_23
transcript.pyannote[2378].start 15661.60034375
transcript.pyannote[2378].end 15661.63409375
transcript.pyannote[2379].speaker SPEAKER_24
transcript.pyannote[2379].start 15683.48721875
transcript.pyannote[2379].end 15685.61346875
transcript.pyannote[2380].speaker SPEAKER_24
transcript.pyannote[2380].start 15686.15346875
transcript.pyannote[2380].end 15688.26284375
transcript.pyannote[2381].speaker SPEAKER_23
transcript.pyannote[2381].start 15688.26284375
transcript.pyannote[2381].end 15688.65096875
transcript.pyannote[2382].speaker SPEAKER_24
transcript.pyannote[2382].start 15688.65096875
transcript.pyannote[2382].end 15689.27534375
transcript.pyannote[2383].speaker SPEAKER_23
transcript.pyannote[2383].start 15689.27534375
transcript.pyannote[2383].end 15689.35971875
transcript.pyannote[2384].speaker SPEAKER_24
transcript.pyannote[2384].start 15690.16971875
transcript.pyannote[2384].end 15690.18659375
transcript.pyannote[2385].speaker SPEAKER_23
transcript.pyannote[2385].start 15690.18659375
transcript.pyannote[2385].end 15702.58971875
transcript.pyannote[2386].speaker SPEAKER_24
transcript.pyannote[2386].start 15701.23971875
transcript.pyannote[2386].end 15734.66909375
transcript.pyannote[2387].speaker SPEAKER_24
transcript.pyannote[2387].start 15734.98971875
transcript.pyannote[2387].end 15747.20721875
transcript.pyannote[2388].speaker SPEAKER_27
transcript.pyannote[2388].start 15747.32534375
transcript.pyannote[2388].end 15758.51346875
transcript.pyannote[2389].speaker SPEAKER_24
transcript.pyannote[2389].start 15758.64846875
transcript.pyannote[2389].end 15761.55096875
transcript.pyannote[2390].speaker SPEAKER_27
transcript.pyannote[2390].start 15763.06971875
transcript.pyannote[2390].end 15764.82471875
transcript.pyannote[2391].speaker SPEAKER_24
transcript.pyannote[2391].start 15764.47034375
transcript.pyannote[2391].end 15772.06409375
transcript.pyannote[2392].speaker SPEAKER_24
transcript.pyannote[2392].start 15773.09346875
transcript.pyannote[2392].end 15775.15221875
transcript.pyannote[2393].speaker SPEAKER_06
transcript.pyannote[2393].start 15773.19471875
transcript.pyannote[2393].end 15774.27471875
transcript.pyannote[2394].speaker SPEAKER_06
transcript.pyannote[2394].start 15775.87784375
transcript.pyannote[2394].end 15776.43471875
transcript.pyannote[2395].speaker SPEAKER_06
transcript.pyannote[2395].start 15776.77221875
transcript.pyannote[2395].end 15788.63534375
transcript.pyannote[2396].speaker SPEAKER_05
transcript.pyannote[2396].start 15794.38971875
transcript.pyannote[2396].end 15801.89909375
transcript.pyannote[2397].speaker SPEAKER_05
transcript.pyannote[2397].start 15802.86096875
transcript.pyannote[2397].end 15807.04596875
transcript.pyannote[2398].speaker SPEAKER_20
transcript.pyannote[2398].start 15807.04596875
transcript.pyannote[2398].end 15807.65346875
transcript.pyannote[2399].speaker SPEAKER_05
transcript.pyannote[2399].start 15807.21471875
transcript.pyannote[2399].end 15807.60284375
transcript.pyannote[2400].speaker SPEAKER_05
transcript.pyannote[2400].start 15807.65346875
transcript.pyannote[2400].end 15811.23096875
transcript.pyannote[2401].speaker SPEAKER_05
transcript.pyannote[2401].start 15811.61909375
transcript.pyannote[2401].end 15812.36159375
transcript.pyannote[2402].speaker SPEAKER_05
transcript.pyannote[2402].start 15812.95221875
transcript.pyannote[2402].end 15922.15034375
transcript.pyannote[2403].speaker SPEAKER_27
transcript.pyannote[2403].start 15923.65221875
transcript.pyannote[2403].end 15925.66034375
transcript.pyannote[2404].speaker SPEAKER_27
transcript.pyannote[2404].start 15925.71096875
transcript.pyannote[2404].end 15954.41534375
transcript.pyannote[2405].speaker SPEAKER_05
transcript.pyannote[2405].start 15953.84159375
transcript.pyannote[2405].end 15974.20971875
transcript.pyannote[2406].speaker SPEAKER_27
transcript.pyannote[2406].start 15975.79596875
transcript.pyannote[2406].end 15976.96034375
transcript.pyannote[2407].speaker SPEAKER_27
transcript.pyannote[2407].start 15976.99409375
transcript.pyannote[2407].end 15977.82096875
transcript.pyannote[2408].speaker SPEAKER_27
transcript.pyannote[2408].start 15978.56346875
transcript.pyannote[2408].end 15979.45784375
transcript.pyannote[2409].speaker SPEAKER_27
transcript.pyannote[2409].start 15979.82909375
transcript.pyannote[2409].end 15989.09346875
transcript.pyannote[2410].speaker SPEAKER_05
transcript.pyannote[2410].start 15989.70096875
transcript.pyannote[2410].end 15991.96221875
transcript.pyannote[2411].speaker SPEAKER_27
transcript.pyannote[2411].start 15992.73846875
transcript.pyannote[2411].end 16000.04534375
transcript.pyannote[2412].speaker SPEAKER_05
transcript.pyannote[2412].start 16000.21409375
transcript.pyannote[2412].end 16019.45159375
transcript.pyannote[2413].speaker SPEAKER_27
transcript.pyannote[2413].start 16020.71721875
transcript.pyannote[2413].end 16025.45909375
transcript.pyannote[2414].speaker SPEAKER_27
transcript.pyannote[2414].start 16025.96534375
transcript.pyannote[2414].end 16032.27659375
transcript.pyannote[2415].speaker SPEAKER_05
transcript.pyannote[2415].start 16032.34409375
transcript.pyannote[2415].end 16047.24471875
transcript.pyannote[2416].speaker SPEAKER_27
transcript.pyannote[2416].start 16047.85221875
transcript.pyannote[2416].end 16054.68659375
transcript.pyannote[2417].speaker SPEAKER_05
transcript.pyannote[2417].start 16054.72034375
transcript.pyannote[2417].end 16060.66034375
transcript.pyannote[2418].speaker SPEAKER_27
transcript.pyannote[2418].start 16061.57159375
transcript.pyannote[2418].end 16069.99221875
transcript.pyannote[2419].speaker SPEAKER_27
transcript.pyannote[2419].start 16070.39721875
transcript.pyannote[2419].end 16076.89409375
transcript.pyannote[2420].speaker SPEAKER_05
transcript.pyannote[2420].start 16077.34971875
transcript.pyannote[2420].end 16105.05846875
transcript.pyannote[2421].speaker SPEAKER_18
transcript.pyannote[2421].start 16105.71659375
transcript.pyannote[2421].end 16175.81534375
transcript.pyannote[2422].speaker SPEAKER_05
transcript.pyannote[2422].start 16175.81534375
transcript.pyannote[2422].end 16181.99159375
transcript.pyannote[2423].speaker SPEAKER_18
transcript.pyannote[2423].start 16182.14346875
transcript.pyannote[2423].end 16187.96534375
transcript.pyannote[2424].speaker SPEAKER_05
transcript.pyannote[2424].start 16188.03284375
transcript.pyannote[2424].end 16208.55284375
transcript.pyannote[2425].speaker SPEAKER_27
transcript.pyannote[2425].start 16208.92409375
transcript.pyannote[2425].end 16214.34096875
transcript.pyannote[2426].speaker SPEAKER_27
transcript.pyannote[2426].start 16214.47596875
transcript.pyannote[2426].end 16214.89784375
transcript.pyannote[2427].speaker SPEAKER_27
transcript.pyannote[2427].start 16215.35346875
transcript.pyannote[2427].end 16220.88846875
transcript.pyannote[2428].speaker SPEAKER_27
transcript.pyannote[2428].start 16221.34409375
transcript.pyannote[2428].end 16233.19034375
transcript.pyannote[2429].speaker SPEAKER_05
transcript.pyannote[2429].start 16234.28721875
transcript.pyannote[2429].end 16238.91096875
transcript.pyannote[2430].speaker SPEAKER_27
transcript.pyannote[2430].start 16239.60284375
transcript.pyannote[2430].end 16243.97346875
transcript.pyannote[2431].speaker SPEAKER_05
transcript.pyannote[2431].start 16244.47971875
transcript.pyannote[2431].end 16272.15471875
transcript.pyannote[2432].speaker SPEAKER_27
transcript.pyannote[2432].start 16272.79596875
transcript.pyannote[2432].end 16275.51284375
transcript.pyannote[2433].speaker SPEAKER_27
transcript.pyannote[2433].start 16275.68159375
transcript.pyannote[2433].end 16288.65846875
transcript.pyannote[2434].speaker SPEAKER_27
transcript.pyannote[2434].start 16289.68784375
transcript.pyannote[2434].end 16294.81784375
transcript.pyannote[2435].speaker SPEAKER_05
transcript.pyannote[2435].start 16295.35784375
transcript.pyannote[2435].end 16318.69596875
transcript.pyannote[2436].speaker SPEAKER_27
transcript.pyannote[2436].start 16319.06721875
transcript.pyannote[2436].end 16323.57284375
transcript.pyannote[2437].speaker SPEAKER_05
transcript.pyannote[2437].start 16323.74159375
transcript.pyannote[2437].end 16324.43346875
transcript.pyannote[2438].speaker SPEAKER_06
transcript.pyannote[2438].start 16324.43346875
transcript.pyannote[2438].end 16324.55159375
transcript.pyannote[2439].speaker SPEAKER_27
transcript.pyannote[2439].start 16324.55159375
transcript.pyannote[2439].end 16325.20971875
transcript.pyannote[2440].speaker SPEAKER_06
transcript.pyannote[2440].start 16326.17159375
transcript.pyannote[2440].end 16331.87534375
transcript.pyannote[2441].speaker SPEAKER_20
transcript.pyannote[2441].start 16340.65034375
transcript.pyannote[2441].end 16341.15659375
transcript.pyannote[2442].speaker SPEAKER_15
transcript.pyannote[2442].start 16346.43846875
transcript.pyannote[2442].end 16349.29034375
transcript.pyannote[2443].speaker SPEAKER_15
transcript.pyannote[2443].start 16350.10034375
transcript.pyannote[2443].end 16354.84221875
transcript.pyannote[2444].speaker SPEAKER_06
transcript.pyannote[2444].start 16350.25221875
transcript.pyannote[2444].end 16350.70784375
transcript.pyannote[2445].speaker SPEAKER_15
transcript.pyannote[2445].start 16354.97721875
transcript.pyannote[2445].end 16358.23409375
transcript.pyannote[2446].speaker SPEAKER_06
transcript.pyannote[2446].start 16358.23409375
transcript.pyannote[2446].end 16359.61784375
transcript.pyannote[2447].speaker SPEAKER_15
transcript.pyannote[2447].start 16359.61784375
transcript.pyannote[2447].end 16360.30971875
transcript.pyannote[2448].speaker SPEAKER_06
transcript.pyannote[2448].start 16360.30971875
transcript.pyannote[2448].end 16360.32659375
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 16363.70159375
transcript.pyannote[2449].end 16364.98409375
transcript.pyannote[2450].speaker SPEAKER_15
transcript.pyannote[2450].start 16366.73909375
transcript.pyannote[2450].end 16371.26159375
transcript.pyannote[2451].speaker SPEAKER_15
transcript.pyannote[2451].start 16371.66659375
transcript.pyannote[2451].end 16376.25659375
transcript.pyannote[2452].speaker SPEAKER_15
transcript.pyannote[2452].start 16376.88096875
transcript.pyannote[2452].end 16377.89346875
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 16378.34909375
transcript.pyannote[2453].end 16381.03221875
transcript.pyannote[2454].speaker SPEAKER_15
transcript.pyannote[2454].start 16382.46659375
transcript.pyannote[2454].end 16383.64784375
transcript.pyannote[2455].speaker SPEAKER_15
transcript.pyannote[2455].start 16384.35659375
transcript.pyannote[2455].end 16385.18346875
transcript.pyannote[2456].speaker SPEAKER_15
transcript.pyannote[2456].start 16385.60534375
transcript.pyannote[2456].end 16386.36471875
transcript.pyannote[2457].speaker SPEAKER_15
transcript.pyannote[2457].start 16386.90471875
transcript.pyannote[2457].end 16388.30534375
transcript.pyannote[2458].speaker SPEAKER_15
transcript.pyannote[2458].start 16388.82846875
transcript.pyannote[2458].end 16391.73096875
transcript.pyannote[2459].speaker SPEAKER_15
transcript.pyannote[2459].start 16392.59159375
transcript.pyannote[2459].end 16394.71784375
transcript.pyannote[2460].speaker SPEAKER_15
transcript.pyannote[2460].start 16394.83596875
transcript.pyannote[2460].end 16396.77659375
transcript.pyannote[2461].speaker SPEAKER_15
transcript.pyannote[2461].start 16397.14784375
transcript.pyannote[2461].end 16400.16846875
transcript.pyannote[2462].speaker SPEAKER_15
transcript.pyannote[2462].start 16400.89409375
transcript.pyannote[2462].end 16402.21034375
transcript.pyannote[2463].speaker SPEAKER_15
transcript.pyannote[2463].start 16403.08784375
transcript.pyannote[2463].end 16404.74159375
transcript.pyannote[2464].speaker SPEAKER_15
transcript.pyannote[2464].start 16405.21409375
transcript.pyannote[2464].end 16407.71159375
transcript.pyannote[2465].speaker SPEAKER_15
transcript.pyannote[2465].start 16408.13346875
transcript.pyannote[2465].end 16409.87159375
transcript.pyannote[2466].speaker SPEAKER_15
transcript.pyannote[2466].start 16410.88409375
transcript.pyannote[2466].end 16412.62221875
transcript.pyannote[2467].speaker SPEAKER_15
transcript.pyannote[2467].start 16413.44909375
transcript.pyannote[2467].end 16416.31784375
transcript.pyannote[2468].speaker SPEAKER_15
transcript.pyannote[2468].start 16416.87471875
transcript.pyannote[2468].end 16418.74784375
transcript.pyannote[2469].speaker SPEAKER_15
transcript.pyannote[2469].start 16419.49034375
transcript.pyannote[2469].end 16422.74721875
transcript.pyannote[2470].speaker SPEAKER_15
transcript.pyannote[2470].start 16424.48534375
transcript.pyannote[2470].end 16433.07471875
transcript.pyannote[2471].speaker SPEAKER_15
transcript.pyannote[2471].start 16434.27284375
transcript.pyannote[2471].end 16435.15034375
transcript.pyannote[2472].speaker SPEAKER_15
transcript.pyannote[2472].start 16435.55534375
transcript.pyannote[2472].end 16437.31034375
transcript.pyannote[2473].speaker SPEAKER_15
transcript.pyannote[2473].start 16438.23846875
transcript.pyannote[2473].end 16439.40284375
transcript.pyannote[2474].speaker SPEAKER_15
transcript.pyannote[2474].start 16440.49971875
transcript.pyannote[2474].end 16441.20846875
transcript.pyannote[2475].speaker SPEAKER_15
transcript.pyannote[2475].start 16441.39409375
transcript.pyannote[2475].end 16443.31784375
transcript.pyannote[2476].speaker SPEAKER_15
transcript.pyannote[2476].start 16444.17846875
transcript.pyannote[2476].end 16446.43971875
transcript.pyannote[2477].speaker SPEAKER_15
transcript.pyannote[2477].start 16447.51971875
transcript.pyannote[2477].end 16450.01721875
transcript.pyannote[2478].speaker SPEAKER_15
transcript.pyannote[2478].start 16450.75971875
transcript.pyannote[2478].end 16452.53159375
transcript.pyannote[2479].speaker SPEAKER_27
transcript.pyannote[2479].start 16452.68346875
transcript.pyannote[2479].end 16458.89346875
transcript.pyannote[2480].speaker SPEAKER_27
transcript.pyannote[2480].start 16459.12971875
transcript.pyannote[2480].end 16468.81596875
transcript.pyannote[2481].speaker SPEAKER_27
transcript.pyannote[2481].start 16469.20409375
transcript.pyannote[2481].end 16495.00596875
transcript.pyannote[2482].speaker SPEAKER_15
transcript.pyannote[2482].start 16495.34346875
transcript.pyannote[2482].end 16497.85784375
transcript.pyannote[2483].speaker SPEAKER_15
transcript.pyannote[2483].start 16498.29659375
transcript.pyannote[2483].end 16500.28784375
transcript.pyannote[2484].speaker SPEAKER_15
transcript.pyannote[2484].start 16500.99659375
transcript.pyannote[2484].end 16502.26221875
transcript.pyannote[2485].speaker SPEAKER_15
transcript.pyannote[2485].start 16502.66721875
transcript.pyannote[2485].end 16503.79784375
transcript.pyannote[2486].speaker SPEAKER_15
transcript.pyannote[2486].start 16504.08471875
transcript.pyannote[2486].end 16511.93159375
transcript.pyannote[2487].speaker SPEAKER_27
transcript.pyannote[2487].start 16510.71659375
transcript.pyannote[2487].end 16511.10471875
transcript.pyannote[2488].speaker SPEAKER_27
transcript.pyannote[2488].start 16511.93159375
transcript.pyannote[2488].end 16512.11721875
transcript.pyannote[2489].speaker SPEAKER_15
transcript.pyannote[2489].start 16512.11721875
transcript.pyannote[2489].end 16516.45409375
transcript.pyannote[2490].speaker SPEAKER_27
transcript.pyannote[2490].start 16516.45409375
transcript.pyannote[2490].end 16517.12909375
transcript.pyannote[2491].speaker SPEAKER_15
transcript.pyannote[2491].start 16517.12909375
transcript.pyannote[2491].end 16518.44534375
transcript.pyannote[2492].speaker SPEAKER_15
transcript.pyannote[2492].start 16518.58034375
transcript.pyannote[2492].end 16521.68534375
transcript.pyannote[2493].speaker SPEAKER_18
transcript.pyannote[2493].start 16521.68534375
transcript.pyannote[2493].end 16604.55846875
transcript.pyannote[2494].speaker SPEAKER_15
transcript.pyannote[2494].start 16602.22971875
transcript.pyannote[2494].end 16602.53346875
transcript.pyannote[2495].speaker SPEAKER_15
transcript.pyannote[2495].start 16603.69784375
transcript.pyannote[2495].end 16604.18721875
transcript.pyannote[2496].speaker SPEAKER_18
transcript.pyannote[2496].start 16605.26721875
transcript.pyannote[2496].end 16618.80096875
transcript.pyannote[2497].speaker SPEAKER_15
transcript.pyannote[2497].start 16618.07534375
transcript.pyannote[2497].end 16618.22721875
transcript.pyannote[2498].speaker SPEAKER_15
transcript.pyannote[2498].start 16618.27784375
transcript.pyannote[2498].end 16620.47159375
transcript.pyannote[2499].speaker SPEAKER_15
transcript.pyannote[2499].start 16620.55596875
transcript.pyannote[2499].end 16629.16221875
transcript.pyannote[2500].speaker SPEAKER_18
transcript.pyannote[2500].start 16624.63971875
transcript.pyannote[2500].end 16625.66909375
transcript.pyannote[2501].speaker SPEAKER_15
transcript.pyannote[2501].start 16630.00596875
transcript.pyannote[2501].end 16630.69784375
transcript.pyannote[2502].speaker SPEAKER_15
transcript.pyannote[2502].start 16631.32221875
transcript.pyannote[2502].end 16632.38534375
transcript.pyannote[2503].speaker SPEAKER_15
transcript.pyannote[2503].start 16633.07721875
transcript.pyannote[2503].end 16640.14784375
transcript.pyannote[2504].speaker SPEAKER_15
transcript.pyannote[2504].start 16640.56971875
transcript.pyannote[2504].end 16641.54846875
transcript.pyannote[2505].speaker SPEAKER_15
transcript.pyannote[2505].start 16642.32471875
transcript.pyannote[2505].end 16643.03346875
transcript.pyannote[2506].speaker SPEAKER_15
transcript.pyannote[2506].start 16647.30284375
transcript.pyannote[2506].end 16654.87971875
transcript.pyannote[2507].speaker SPEAKER_15
transcript.pyannote[2507].start 16655.45346875
transcript.pyannote[2507].end 16658.64284375
transcript.pyannote[2508].speaker SPEAKER_15
transcript.pyannote[2508].start 16659.14909375
transcript.pyannote[2508].end 16660.26284375
transcript.pyannote[2509].speaker SPEAKER_15
transcript.pyannote[2509].start 16660.75221875
transcript.pyannote[2509].end 16663.46909375
transcript.pyannote[2510].speaker SPEAKER_15
transcript.pyannote[2510].start 16664.71784375
transcript.pyannote[2510].end 16665.59534375
transcript.pyannote[2511].speaker SPEAKER_15
transcript.pyannote[2511].start 16665.91596875
transcript.pyannote[2511].end 16668.53159375
transcript.pyannote[2512].speaker SPEAKER_15
transcript.pyannote[2512].start 16668.78471875
transcript.pyannote[2512].end 16669.35846875
transcript.pyannote[2513].speaker SPEAKER_15
transcript.pyannote[2513].start 16670.15159375
transcript.pyannote[2513].end 16671.73784375
transcript.pyannote[2514].speaker SPEAKER_15
transcript.pyannote[2514].start 16672.39596875
transcript.pyannote[2514].end 16673.37471875
transcript.pyannote[2515].speaker SPEAKER_15
transcript.pyannote[2515].start 16673.69534375
transcript.pyannote[2515].end 16676.58096875
transcript.pyannote[2516].speaker SPEAKER_15
transcript.pyannote[2516].start 16677.13784375
transcript.pyannote[2516].end 16691.44784375
transcript.pyannote[2517].speaker SPEAKER_15
transcript.pyannote[2517].start 16692.08909375
transcript.pyannote[2517].end 16696.44284375
transcript.pyannote[2518].speaker SPEAKER_27
transcript.pyannote[2518].start 16696.44284375
transcript.pyannote[2518].end 16698.31596875
transcript.pyannote[2519].speaker SPEAKER_15
transcript.pyannote[2519].start 16698.65346875
transcript.pyannote[2519].end 16705.04909375
transcript.pyannote[2520].speaker SPEAKER_15
transcript.pyannote[2520].start 16705.33596875
transcript.pyannote[2520].end 16706.19659375
transcript.pyannote[2521].speaker SPEAKER_27
transcript.pyannote[2521].start 16706.56784375
transcript.pyannote[2521].end 16708.57596875
transcript.pyannote[2522].speaker SPEAKER_27
transcript.pyannote[2522].start 16709.20034375
transcript.pyannote[2522].end 16709.90909375
transcript.pyannote[2523].speaker SPEAKER_15
transcript.pyannote[2523].start 16709.36909375
transcript.pyannote[2523].end 16709.55471875
transcript.pyannote[2524].speaker SPEAKER_15
transcript.pyannote[2524].start 16710.24659375
transcript.pyannote[2524].end 16715.22471875
transcript.pyannote[2525].speaker SPEAKER_15
transcript.pyannote[2525].start 16716.05159375
transcript.pyannote[2525].end 16716.42284375
transcript.pyannote[2526].speaker SPEAKER_15
transcript.pyannote[2526].start 16717.01346875
transcript.pyannote[2526].end 16718.70096875
transcript.pyannote[2527].speaker SPEAKER_15
transcript.pyannote[2527].start 16719.51096875
transcript.pyannote[2527].end 16719.83159375
transcript.pyannote[2528].speaker SPEAKER_15
transcript.pyannote[2528].start 16720.23659375
transcript.pyannote[2528].end 16721.60346875
transcript.pyannote[2529].speaker SPEAKER_15
transcript.pyannote[2529].start 16722.58221875
transcript.pyannote[2529].end 16723.94909375
transcript.pyannote[2530].speaker SPEAKER_15
transcript.pyannote[2530].start 16724.37096875
transcript.pyannote[2530].end 16726.24409375
transcript.pyannote[2531].speaker SPEAKER_27
transcript.pyannote[2531].start 16727.23971875
transcript.pyannote[2531].end 16729.09596875
transcript.pyannote[2532].speaker SPEAKER_15
transcript.pyannote[2532].start 16728.91034375
transcript.pyannote[2532].end 16729.80471875
transcript.pyannote[2533].speaker SPEAKER_15
transcript.pyannote[2533].start 16730.31096875
transcript.pyannote[2533].end 16730.56409375
transcript.pyannote[2534].speaker SPEAKER_27
transcript.pyannote[2534].start 16730.78346875
transcript.pyannote[2534].end 16734.86721875
transcript.pyannote[2535].speaker SPEAKER_15
transcript.pyannote[2535].start 16735.35659375
transcript.pyannote[2535].end 16736.13284375
transcript.pyannote[2536].speaker SPEAKER_27
transcript.pyannote[2536].start 16736.13284375
transcript.pyannote[2536].end 16736.87534375
transcript.pyannote[2537].speaker SPEAKER_15
transcript.pyannote[2537].start 16736.87534375
transcript.pyannote[2537].end 16736.92596875
transcript.pyannote[2538].speaker SPEAKER_15
transcript.pyannote[2538].start 16737.21284375
transcript.pyannote[2538].end 16743.03471875
transcript.pyannote[2539].speaker SPEAKER_15
transcript.pyannote[2539].start 16743.49034375
transcript.pyannote[2539].end 16744.62096875
transcript.pyannote[2540].speaker SPEAKER_15
transcript.pyannote[2540].start 16745.75159375
transcript.pyannote[2540].end 16747.89471875
transcript.pyannote[2541].speaker SPEAKER_15
transcript.pyannote[2541].start 16748.48534375
transcript.pyannote[2541].end 16749.26159375
transcript.pyannote[2542].speaker SPEAKER_15
transcript.pyannote[2542].start 16750.10534375
transcript.pyannote[2542].end 16750.94909375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 16750.94909375
transcript.pyannote[2543].end 16751.03346875
transcript.pyannote[2544].speaker SPEAKER_27
transcript.pyannote[2544].start 16751.03346875
transcript.pyannote[2544].end 16751.74221875
transcript.pyannote[2545].speaker SPEAKER_15
transcript.pyannote[2545].start 16751.74221875
transcript.pyannote[2545].end 16751.97846875
transcript.pyannote[2546].speaker SPEAKER_06
transcript.pyannote[2546].start 16751.97846875
transcript.pyannote[2546].end 16752.34971875
transcript.pyannote[2547].speaker SPEAKER_15
transcript.pyannote[2547].start 16752.34971875
transcript.pyannote[2547].end 16752.45096875
transcript.pyannote[2548].speaker SPEAKER_06
transcript.pyannote[2548].start 16752.45096875
transcript.pyannote[2548].end 16752.46784375
transcript.pyannote[2549].speaker SPEAKER_27
transcript.pyannote[2549].start 16752.46784375
transcript.pyannote[2549].end 16752.97409375
transcript.pyannote[2550].speaker SPEAKER_15
transcript.pyannote[2550].start 16752.48471875
transcript.pyannote[2550].end 16752.51846875
transcript.pyannote[2551].speaker SPEAKER_06
transcript.pyannote[2551].start 16752.51846875
transcript.pyannote[2551].end 16752.58596875
transcript.pyannote[2552].speaker SPEAKER_18
transcript.pyannote[2552].start 16752.58596875
transcript.pyannote[2552].end 16752.72096875
transcript.pyannote[2553].speaker SPEAKER_18
transcript.pyannote[2553].start 16752.97409375
transcript.pyannote[2553].end 16754.10471875
transcript.pyannote[2554].speaker SPEAKER_06
transcript.pyannote[2554].start 16754.49284375
transcript.pyannote[2554].end 16765.83284375
transcript.pyannote[2555].speaker SPEAKER_06
transcript.pyannote[2555].start 16766.72721875
transcript.pyannote[2555].end 16767.23346875
transcript.pyannote[2556].speaker SPEAKER_03
transcript.pyannote[2556].start 16777.54409375
transcript.pyannote[2556].end 16778.26971875
transcript.pyannote[2557].speaker SPEAKER_03
transcript.pyannote[2557].start 16778.86034375
transcript.pyannote[2557].end 16780.19346875
transcript.pyannote[2558].speaker SPEAKER_03
transcript.pyannote[2558].start 16780.73346875
transcript.pyannote[2558].end 16781.15534375
transcript.pyannote[2559].speaker SPEAKER_03
transcript.pyannote[2559].start 16781.52659375
transcript.pyannote[2559].end 16782.55596875
transcript.pyannote[2560].speaker SPEAKER_03
transcript.pyannote[2560].start 16788.52971875
transcript.pyannote[2560].end 16789.82909375
transcript.pyannote[2561].speaker SPEAKER_03
transcript.pyannote[2561].start 16790.40284375
transcript.pyannote[2561].end 16795.14471875
transcript.pyannote[2562].speaker SPEAKER_03
transcript.pyannote[2562].start 16795.65096875
transcript.pyannote[2562].end 16800.67971875
transcript.pyannote[2563].speaker SPEAKER_27
transcript.pyannote[2563].start 16800.67971875
transcript.pyannote[2563].end 16801.08471875
transcript.pyannote[2564].speaker SPEAKER_03
transcript.pyannote[2564].start 16801.08471875
transcript.pyannote[2564].end 16802.55284375
transcript.pyannote[2565].speaker SPEAKER_27
transcript.pyannote[2565].start 16802.60346875
transcript.pyannote[2565].end 16803.88596875
transcript.pyannote[2566].speaker SPEAKER_03
transcript.pyannote[2566].start 16804.00409375
transcript.pyannote[2566].end 16818.01034375
transcript.pyannote[2567].speaker SPEAKER_27
transcript.pyannote[2567].start 16817.30159375
transcript.pyannote[2567].end 16819.91721875
transcript.pyannote[2568].speaker SPEAKER_03
transcript.pyannote[2568].start 16819.93409375
transcript.pyannote[2568].end 16822.92096875
transcript.pyannote[2569].speaker SPEAKER_03
transcript.pyannote[2569].start 16823.03909375
transcript.pyannote[2569].end 16824.18659375
transcript.pyannote[2570].speaker SPEAKER_03
transcript.pyannote[2570].start 16824.38909375
transcript.pyannote[2570].end 16837.26471875
transcript.pyannote[2571].speaker SPEAKER_03
transcript.pyannote[2571].start 16837.78784375
transcript.pyannote[2571].end 16840.23471875
transcript.pyannote[2572].speaker SPEAKER_03
transcript.pyannote[2572].start 16840.48784375
transcript.pyannote[2572].end 16842.29346875
transcript.pyannote[2573].speaker SPEAKER_03
transcript.pyannote[2573].start 16842.86721875
transcript.pyannote[2573].end 16844.48721875
transcript.pyannote[2574].speaker SPEAKER_03
transcript.pyannote[2574].start 16845.12846875
transcript.pyannote[2574].end 16847.59221875
transcript.pyannote[2575].speaker SPEAKER_20
transcript.pyannote[2575].start 16847.59221875
transcript.pyannote[2575].end 16847.77784375
transcript.pyannote[2576].speaker SPEAKER_03
transcript.pyannote[2576].start 16847.77784375
transcript.pyannote[2576].end 16869.76596875
transcript.pyannote[2577].speaker SPEAKER_03
transcript.pyannote[2577].start 16870.17096875
transcript.pyannote[2577].end 16870.82909375
transcript.pyannote[2578].speaker SPEAKER_03
transcript.pyannote[2578].start 16870.84596875
transcript.pyannote[2578].end 16870.86284375
transcript.pyannote[2579].speaker SPEAKER_20
transcript.pyannote[2579].start 16870.86284375
transcript.pyannote[2579].end 16871.70659375
transcript.pyannote[2580].speaker SPEAKER_03
transcript.pyannote[2580].start 16871.14971875
transcript.pyannote[2580].end 16875.82409375
transcript.pyannote[2581].speaker SPEAKER_27
transcript.pyannote[2581].start 16871.70659375
transcript.pyannote[2581].end 16871.72346875
transcript.pyannote[2582].speaker SPEAKER_03
transcript.pyannote[2582].start 16876.39784375
transcript.pyannote[2582].end 16877.37659375
transcript.pyannote[2583].speaker SPEAKER_27
transcript.pyannote[2583].start 16876.95471875
transcript.pyannote[2583].end 16878.43971875
transcript.pyannote[2584].speaker SPEAKER_03
transcript.pyannote[2584].start 16879.46909375
transcript.pyannote[2584].end 16880.27909375
transcript.pyannote[2585].speaker SPEAKER_03
transcript.pyannote[2585].start 16880.97096875
transcript.pyannote[2585].end 16892.19284375
transcript.pyannote[2586].speaker SPEAKER_03
transcript.pyannote[2586].start 16892.44596875
transcript.pyannote[2586].end 16903.26284375
transcript.pyannote[2587].speaker SPEAKER_03
transcript.pyannote[2587].start 16903.54971875
transcript.pyannote[2587].end 16905.37221875
transcript.pyannote[2588].speaker SPEAKER_03
transcript.pyannote[2588].start 16905.72659375
transcript.pyannote[2588].end 16907.41409375
transcript.pyannote[2589].speaker SPEAKER_03
transcript.pyannote[2589].start 16908.08909375
transcript.pyannote[2589].end 16909.74284375
transcript.pyannote[2590].speaker SPEAKER_03
transcript.pyannote[2590].start 16910.83971875
transcript.pyannote[2590].end 16911.63284375
transcript.pyannote[2591].speaker SPEAKER_27
transcript.pyannote[2591].start 16912.40909375
transcript.pyannote[2591].end 16921.15034375
transcript.pyannote[2592].speaker SPEAKER_03
transcript.pyannote[2592].start 16916.32409375
transcript.pyannote[2592].end 16916.93159375
transcript.pyannote[2593].speaker SPEAKER_03
transcript.pyannote[2593].start 16919.95221875
transcript.pyannote[2593].end 16923.74909375
transcript.pyannote[2594].speaker SPEAKER_27
transcript.pyannote[2594].start 16923.90096875
transcript.pyannote[2594].end 16924.39034375
transcript.pyannote[2595].speaker SPEAKER_03
transcript.pyannote[2595].start 16924.64346875
transcript.pyannote[2595].end 16927.22534375
transcript.pyannote[2596].speaker SPEAKER_27
transcript.pyannote[2596].start 16928.62596875
transcript.pyannote[2596].end 16932.16971875
transcript.pyannote[2597].speaker SPEAKER_03
transcript.pyannote[2597].start 16931.54534375
transcript.pyannote[2597].end 16933.72221875
transcript.pyannote[2598].speaker SPEAKER_27
transcript.pyannote[2598].start 16933.89096875
transcript.pyannote[2598].end 16934.78534375
transcript.pyannote[2599].speaker SPEAKER_03
transcript.pyannote[2599].start 16934.97096875
transcript.pyannote[2599].end 16935.42659375
transcript.pyannote[2600].speaker SPEAKER_03
transcript.pyannote[2600].start 16935.96659375
transcript.pyannote[2600].end 16937.43471875
transcript.pyannote[2601].speaker SPEAKER_27
transcript.pyannote[2601].start 16939.49346875
transcript.pyannote[2601].end 16942.54784375
transcript.pyannote[2602].speaker SPEAKER_03
transcript.pyannote[2602].start 16941.99096875
transcript.pyannote[2602].end 16943.76284375
transcript.pyannote[2603].speaker SPEAKER_27
transcript.pyannote[2603].start 16944.30284375
transcript.pyannote[2603].end 16944.58971875
transcript.pyannote[2604].speaker SPEAKER_03
transcript.pyannote[2604].start 16944.75846875
transcript.pyannote[2604].end 16945.80471875
transcript.pyannote[2605].speaker SPEAKER_27
transcript.pyannote[2605].start 16946.53034375
transcript.pyannote[2605].end 16957.39784375
transcript.pyannote[2606].speaker SPEAKER_03
transcript.pyannote[2606].start 16955.96346875
transcript.pyannote[2606].end 16958.76471875
transcript.pyannote[2607].speaker SPEAKER_27
transcript.pyannote[2607].start 16959.32159375
transcript.pyannote[2607].end 16963.32096875
transcript.pyannote[2608].speaker SPEAKER_03
transcript.pyannote[2608].start 16963.87784375
transcript.pyannote[2608].end 16975.67346875
transcript.pyannote[2609].speaker SPEAKER_03
transcript.pyannote[2609].start 16976.41596875
transcript.pyannote[2609].end 16977.91784375
transcript.pyannote[2610].speaker SPEAKER_27
transcript.pyannote[2610].start 16978.87971875
transcript.pyannote[2610].end 16979.20034375
transcript.pyannote[2611].speaker SPEAKER_27
transcript.pyannote[2611].start 16979.31846875
transcript.pyannote[2611].end 16983.82409375
transcript.pyannote[2612].speaker SPEAKER_03
transcript.pyannote[2612].start 16982.77784375
transcript.pyannote[2612].end 16983.90846875
transcript.pyannote[2613].speaker SPEAKER_03
transcript.pyannote[2613].start 16984.76909375
transcript.pyannote[2613].end 16987.60409375
transcript.pyannote[2614].speaker SPEAKER_27
transcript.pyannote[2614].start 16987.60409375
transcript.pyannote[2614].end 16987.90784375
transcript.pyannote[2615].speaker SPEAKER_20
transcript.pyannote[2615].start 16987.90784375
transcript.pyannote[2615].end 16987.94159375
transcript.pyannote[2616].speaker SPEAKER_03
transcript.pyannote[2616].start 16988.05971875
transcript.pyannote[2616].end 16988.46471875
transcript.pyannote[2617].speaker SPEAKER_03
transcript.pyannote[2617].start 16989.00471875
transcript.pyannote[2617].end 16991.75534375
transcript.pyannote[2618].speaker SPEAKER_03
transcript.pyannote[2618].start 16992.12659375
transcript.pyannote[2618].end 16996.10909375
transcript.pyannote[2619].speaker SPEAKER_03
transcript.pyannote[2619].start 16996.85159375
transcript.pyannote[2619].end 16997.22284375
transcript.pyannote[2620].speaker SPEAKER_03
transcript.pyannote[2620].start 16997.66159375
transcript.pyannote[2620].end 16999.63596875
transcript.pyannote[2621].speaker SPEAKER_03
transcript.pyannote[2621].start 17000.86784375
transcript.pyannote[2621].end 17002.62284375
transcript.pyannote[2622].speaker SPEAKER_03
transcript.pyannote[2622].start 17003.98971875
transcript.pyannote[2622].end 17007.56721875
transcript.pyannote[2623].speaker SPEAKER_27
transcript.pyannote[2623].start 17008.22534375
transcript.pyannote[2623].end 17026.28159375
transcript.pyannote[2624].speaker SPEAKER_27
transcript.pyannote[2624].start 17026.58534375
transcript.pyannote[2624].end 17027.24346875
transcript.pyannote[2625].speaker SPEAKER_27
transcript.pyannote[2625].start 17027.78346875
transcript.pyannote[2625].end 17038.85346875
transcript.pyannote[2626].speaker SPEAKER_03
transcript.pyannote[2626].start 17037.25034375
transcript.pyannote[2626].end 17040.72659375
transcript.pyannote[2627].speaker SPEAKER_03
transcript.pyannote[2627].start 17040.91221875
transcript.pyannote[2627].end 17044.97909375
transcript.pyannote[2628].speaker SPEAKER_03
transcript.pyannote[2628].start 17045.82284375
transcript.pyannote[2628].end 17047.99971875
transcript.pyannote[2629].speaker SPEAKER_03
transcript.pyannote[2629].start 17048.65784375
transcript.pyannote[2629].end 17050.14284375
transcript.pyannote[2630].speaker SPEAKER_03
transcript.pyannote[2630].start 17050.27784375
transcript.pyannote[2630].end 17068.16534375
transcript.pyannote[2631].speaker SPEAKER_20
transcript.pyannote[2631].start 17050.34534375
transcript.pyannote[2631].end 17050.59846875
transcript.pyannote[2632].speaker SPEAKER_03
transcript.pyannote[2632].start 17068.58721875
transcript.pyannote[2632].end 17076.16409375
transcript.pyannote[2633].speaker SPEAKER_20
transcript.pyannote[2633].start 17076.16409375
transcript.pyannote[2633].end 17076.18096875
transcript.pyannote[2634].speaker SPEAKER_27
transcript.pyannote[2634].start 17076.18096875
transcript.pyannote[2634].end 17077.78409375
transcript.pyannote[2635].speaker SPEAKER_03
transcript.pyannote[2635].start 17077.17659375
transcript.pyannote[2635].end 17079.04971875
transcript.pyannote[2636].speaker SPEAKER_27
transcript.pyannote[2636].start 17079.06659375
transcript.pyannote[2636].end 17082.93096875
transcript.pyannote[2637].speaker SPEAKER_03
transcript.pyannote[2637].start 17081.02409375
transcript.pyannote[2637].end 17081.53034375
transcript.pyannote[2638].speaker SPEAKER_27
transcript.pyannote[2638].start 17082.96471875
transcript.pyannote[2638].end 17083.72409375
transcript.pyannote[2639].speaker SPEAKER_03
transcript.pyannote[2639].start 17083.09971875
transcript.pyannote[2639].end 17083.47096875
transcript.pyannote[2640].speaker SPEAKER_03
transcript.pyannote[2640].start 17083.63971875
transcript.pyannote[2640].end 17089.14096875
transcript.pyannote[2641].speaker SPEAKER_03
transcript.pyannote[2641].start 17089.17471875
transcript.pyannote[2641].end 17094.84471875
transcript.pyannote[2642].speaker SPEAKER_03
transcript.pyannote[2642].start 17095.51971875
transcript.pyannote[2642].end 17100.14346875
transcript.pyannote[2643].speaker SPEAKER_03
transcript.pyannote[2643].start 17100.61596875
transcript.pyannote[2643].end 17114.18346875
transcript.pyannote[2644].speaker SPEAKER_03
transcript.pyannote[2644].start 17114.55471875
transcript.pyannote[2644].end 17120.27534375
transcript.pyannote[2645].speaker SPEAKER_03
transcript.pyannote[2645].start 17120.59596875
transcript.pyannote[2645].end 17124.08909375
transcript.pyannote[2646].speaker SPEAKER_27
transcript.pyannote[2646].start 17124.20721875
transcript.pyannote[2646].end 17130.63659375
transcript.pyannote[2647].speaker SPEAKER_03
transcript.pyannote[2647].start 17130.83909375
transcript.pyannote[2647].end 17130.88971875
transcript.pyannote[2648].speaker SPEAKER_06
transcript.pyannote[2648].start 17130.88971875
transcript.pyannote[2648].end 17132.83034375
transcript.pyannote[2649].speaker SPEAKER_27
transcript.pyannote[2649].start 17132.83034375
transcript.pyannote[2649].end 17133.67409375
transcript.pyannote[2650].speaker SPEAKER_06
transcript.pyannote[2650].start 17133.67409375
transcript.pyannote[2650].end 17140.00221875
transcript.pyannote[2651].speaker SPEAKER_06
transcript.pyannote[2651].start 17140.60971875
transcript.pyannote[2651].end 17141.77409375
transcript.pyannote[2652].speaker SPEAKER_06
transcript.pyannote[2652].start 17141.84159375
transcript.pyannote[2652].end 17143.22534375
transcript.pyannote[2653].speaker SPEAKER_06
transcript.pyannote[2653].start 17143.37721875
transcript.pyannote[2653].end 17143.78221875
transcript.pyannote[2654].speaker SPEAKER_10
transcript.pyannote[2654].start 17145.01409375
transcript.pyannote[2654].end 17145.62159375
transcript.pyannote[2655].speaker SPEAKER_06
transcript.pyannote[2655].start 17146.70159375
transcript.pyannote[2655].end 17147.41034375
transcript.pyannote[2656].speaker SPEAKER_06
transcript.pyannote[2656].start 17147.95034375
transcript.pyannote[2656].end 17148.37221875
transcript.pyannote[2657].speaker SPEAKER_06
transcript.pyannote[2657].start 17149.45221875
transcript.pyannote[2657].end 17156.05034375
transcript.pyannote[2658].speaker SPEAKER_06
transcript.pyannote[2658].start 17156.43846875
transcript.pyannote[2658].end 17159.20596875
transcript.pyannote[2659].speaker SPEAKER_06
transcript.pyannote[2659].start 17159.50971875
transcript.pyannote[2659].end 17167.64346875
transcript.pyannote[2660].speaker SPEAKER_06
transcript.pyannote[2660].start 17168.28471875
transcript.pyannote[2660].end 17168.80784375
transcript.pyannote[2661].speaker SPEAKER_06
transcript.pyannote[2661].start 17169.09471875
transcript.pyannote[2661].end 17187.37034375
transcript.pyannote[2662].speaker SPEAKER_06
transcript.pyannote[2662].start 17188.24784375
transcript.pyannote[2662].end 17208.49784375
transcript.pyannote[2663].speaker SPEAKER_06
transcript.pyannote[2663].start 17210.33721875
transcript.pyannote[2663].end 17211.65346875
transcript.pyannote[2664].speaker SPEAKER_06
transcript.pyannote[2664].start 17212.17659375
transcript.pyannote[2664].end 17216.58096875
transcript.pyannote[2665].speaker SPEAKER_06
transcript.pyannote[2665].start 17217.22221875
transcript.pyannote[2665].end 17228.32596875
transcript.pyannote[2666].speaker SPEAKER_06
transcript.pyannote[2666].start 17229.00096875
transcript.pyannote[2666].end 17232.69659375
transcript.pyannote[2667].speaker SPEAKER_06
transcript.pyannote[2667].start 17233.32096875
transcript.pyannote[2667].end 17234.01284375
transcript.pyannote[2668].speaker SPEAKER_06
transcript.pyannote[2668].start 17235.34596875
transcript.pyannote[2668].end 17238.33284375
transcript.pyannote[2669].speaker SPEAKER_06
transcript.pyannote[2669].start 17238.65346875
transcript.pyannote[2669].end 17241.28596875
transcript.pyannote[2670].speaker SPEAKER_06
transcript.pyannote[2670].start 17242.14659375
transcript.pyannote[2670].end 17246.68596875
transcript.pyannote[2671].speaker SPEAKER_06
transcript.pyannote[2671].start 17248.62659375
transcript.pyannote[2671].end 17250.49971875
transcript.pyannote[2672].speaker SPEAKER_06
transcript.pyannote[2672].start 17250.75284375
transcript.pyannote[2672].end 17252.94659375
transcript.pyannote[2673].speaker SPEAKER_21
transcript.pyannote[2673].start 17252.99721875
transcript.pyannote[2673].end 17253.55409375
transcript.pyannote[2674].speaker SPEAKER_06
transcript.pyannote[2674].start 17253.65534375
transcript.pyannote[2674].end 17264.80971875
transcript.pyannote[2675].speaker SPEAKER_06
transcript.pyannote[2675].start 17265.83909375
transcript.pyannote[2675].end 17266.56471875
transcript.pyannote[2676].speaker SPEAKER_27
transcript.pyannote[2676].start 17266.56471875
transcript.pyannote[2676].end 17267.40846875
transcript.pyannote[2677].speaker SPEAKER_27
transcript.pyannote[2677].start 17267.50971875
transcript.pyannote[2677].end 17269.51784375
transcript.pyannote[2678].speaker SPEAKER_27
transcript.pyannote[2678].start 17272.28534375
transcript.pyannote[2678].end 17273.12909375
transcript.pyannote[2679].speaker SPEAKER_06
transcript.pyannote[2679].start 17276.67284375
transcript.pyannote[2679].end 17280.77346875
transcript.pyannote[2680].speaker SPEAKER_06
transcript.pyannote[2680].start 17281.19534375
transcript.pyannote[2680].end 17287.38846875
transcript.pyannote[2681].speaker SPEAKER_06
transcript.pyannote[2681].start 17289.76784375
transcript.pyannote[2681].end 17290.03784375
transcript.pyannote[2682].speaker SPEAKER_06
transcript.pyannote[2682].start 17290.45971875
transcript.pyannote[2682].end 17302.00221875
transcript.pyannote[2683].speaker SPEAKER_06
transcript.pyannote[2683].start 17302.17096875
transcript.pyannote[2683].end 17306.25471875
transcript.pyannote[2684].speaker SPEAKER_06
transcript.pyannote[2684].start 17306.60909375
transcript.pyannote[2684].end 17307.31784375
transcript.pyannote[2685].speaker SPEAKER_09
transcript.pyannote[2685].start 17307.03096875
transcript.pyannote[2685].end 17307.25034375
transcript.pyannote[2686].speaker SPEAKER_09
transcript.pyannote[2686].start 17307.31784375
transcript.pyannote[2686].end 17307.35159375
transcript.pyannote[2687].speaker SPEAKER_09
transcript.pyannote[2687].start 17307.50346875
transcript.pyannote[2687].end 17307.65534375
transcript.pyannote[2688].speaker SPEAKER_09
transcript.pyannote[2688].start 17308.14471875
transcript.pyannote[2688].end 17312.02596875
transcript.pyannote[2689].speaker SPEAKER_06
transcript.pyannote[2689].start 17312.02596875
transcript.pyannote[2689].end 17313.02159375
transcript.pyannote[2690].speaker SPEAKER_00
transcript.pyannote[2690].start 17315.11409375
transcript.pyannote[2690].end 17321.10471875
transcript.pyannote[2691].speaker SPEAKER_00
transcript.pyannote[2691].start 17321.15534375
transcript.pyannote[2691].end 17337.22034375
transcript.pyannote[2692].speaker SPEAKER_00
transcript.pyannote[2692].start 17337.47346875
transcript.pyannote[2692].end 17344.84784375
transcript.pyannote[2693].speaker SPEAKER_00
transcript.pyannote[2693].start 17344.98284375
transcript.pyannote[2693].end 17347.05846875
transcript.pyannote[2694].speaker SPEAKER_00
transcript.pyannote[2694].start 17347.21034375
transcript.pyannote[2694].end 17347.83471875
transcript.pyannote[2695].speaker SPEAKER_00
transcript.pyannote[2695].start 17348.03721875
transcript.pyannote[2695].end 17348.93159375
transcript.pyannote[2696].speaker SPEAKER_00
transcript.pyannote[2696].start 17349.69096875
transcript.pyannote[2696].end 17357.53784375
transcript.pyannote[2697].speaker SPEAKER_00
transcript.pyannote[2697].start 17357.63909375
transcript.pyannote[2697].end 17362.24596875
transcript.pyannote[2698].speaker SPEAKER_00
transcript.pyannote[2698].start 17363.08971875
transcript.pyannote[2698].end 17367.35909375
transcript.pyannote[2699].speaker SPEAKER_00
transcript.pyannote[2699].start 17367.91596875
transcript.pyannote[2699].end 17382.79971875
transcript.pyannote[2700].speaker SPEAKER_00
transcript.pyannote[2700].start 17383.52534375
transcript.pyannote[2700].end 17385.16221875
transcript.pyannote[2701].speaker SPEAKER_00
transcript.pyannote[2701].start 17385.19596875
transcript.pyannote[2701].end 17386.19159375
transcript.pyannote[2702].speaker SPEAKER_00
transcript.pyannote[2702].start 17386.30971875
transcript.pyannote[2702].end 17389.97159375
transcript.pyannote[2703].speaker SPEAKER_00
transcript.pyannote[2703].start 17390.00534375
transcript.pyannote[2703].end 17390.03909375
transcript.pyannote[2704].speaker SPEAKER_00
transcript.pyannote[2704].start 17390.05596875
transcript.pyannote[2704].end 17396.63721875
transcript.pyannote[2705].speaker SPEAKER_06
transcript.pyannote[2705].start 17398.00409375
transcript.pyannote[2705].end 17399.77596875
transcript.pyannote[2706].speaker SPEAKER_06
transcript.pyannote[2706].start 17399.97846875
transcript.pyannote[2706].end 17417.39346875
transcript.pyannote[2707].speaker SPEAKER_06
transcript.pyannote[2707].start 17419.11471875
transcript.pyannote[2707].end 17423.11409375
transcript.pyannote[2708].speaker SPEAKER_06
transcript.pyannote[2708].start 17423.38409375
transcript.pyannote[2708].end 17435.51721875
transcript.pyannote[2709].speaker SPEAKER_06
transcript.pyannote[2709].start 17436.10784375
transcript.pyannote[2709].end 17438.75721875
transcript.pyannote[2710].speaker SPEAKER_06
transcript.pyannote[2710].start 17439.07784375
transcript.pyannote[2710].end 17439.49971875
transcript.pyannote[2711].speaker SPEAKER_06
transcript.pyannote[2711].start 17440.24221875
transcript.pyannote[2711].end 17440.57971875
transcript.pyannote[2712].speaker SPEAKER_06
transcript.pyannote[2712].start 17442.75659375
transcript.pyannote[2712].end 17445.89534375
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 17445.89534375
transcript.pyannote[2713].end 17445.91221875
transcript.pyannote[2714].speaker SPEAKER_06
transcript.pyannote[2714].start 17445.91221875
transcript.pyannote[2714].end 17448.74721875
transcript.pyannote[2715].speaker SPEAKER_27
transcript.pyannote[2715].start 17449.10159375
transcript.pyannote[2715].end 17454.31596875
transcript.pyannote[2716].speaker SPEAKER_06
transcript.pyannote[2716].start 17452.24034375
transcript.pyannote[2716].end 17452.69596875
transcript.pyannote[2717].speaker SPEAKER_20
transcript.pyannote[2717].start 17459.17596875
transcript.pyannote[2717].end 17459.78346875
transcript.pyannote[2718].speaker SPEAKER_06
transcript.pyannote[2718].start 17459.61471875
transcript.pyannote[2718].end 17467.73159375
transcript.pyannote[2719].speaker SPEAKER_06
transcript.pyannote[2719].start 17468.22096875
transcript.pyannote[2719].end 17486.81721875
transcript.pyannote[2720].speaker SPEAKER_06
transcript.pyannote[2720].start 17488.18409375
transcript.pyannote[2720].end 17489.66909375
transcript.pyannote[2721].speaker SPEAKER_06
transcript.pyannote[2721].start 17490.02346875
transcript.pyannote[2721].end 17493.87096875
transcript.pyannote[2722].speaker SPEAKER_06
transcript.pyannote[2722].start 17495.23784375
transcript.pyannote[2722].end 17532.61596875
transcript.pyannote[2723].speaker SPEAKER_06
transcript.pyannote[2723].start 17533.27409375
transcript.pyannote[2723].end 17537.44221875
transcript.pyannote[2724].speaker SPEAKER_06
transcript.pyannote[2724].start 17537.76284375
transcript.pyannote[2724].end 17547.46596875
transcript.pyannote[2725].speaker SPEAKER_27
transcript.pyannote[2725].start 17547.61784375
transcript.pyannote[2725].end 17548.24221875
transcript.pyannote[2726].speaker SPEAKER_06
transcript.pyannote[2726].start 17548.25909375
transcript.pyannote[2726].end 17548.27596875
transcript.pyannote[2727].speaker SPEAKER_06
transcript.pyannote[2727].start 17548.29284375
transcript.pyannote[2727].end 17548.71471875
transcript.pyannote[2728].speaker SPEAKER_06
transcript.pyannote[2728].start 17550.70596875
transcript.pyannote[2728].end 17551.04346875
transcript.pyannote[2729].speaker SPEAKER_06
transcript.pyannote[2729].start 17551.65096875
transcript.pyannote[2729].end 17555.49846875
transcript.pyannote[2730].speaker SPEAKER_06
transcript.pyannote[2730].start 17555.93721875
transcript.pyannote[2730].end 17586.54846875
transcript.pyannote[2731].speaker SPEAKER_06
transcript.pyannote[2731].start 17586.83534375
transcript.pyannote[2731].end 17608.28346875
transcript.pyannote[2732].speaker SPEAKER_06
transcript.pyannote[2732].start 17608.58721875
transcript.pyannote[2732].end 17616.33284375
transcript.pyannote[2733].speaker SPEAKER_06
transcript.pyannote[2733].start 17617.04159375
transcript.pyannote[2733].end 17618.44221875
transcript.pyannote[2734].speaker SPEAKER_06
transcript.pyannote[2734].start 17619.20159375
transcript.pyannote[2734].end 17636.34659375
transcript.pyannote[2735].speaker SPEAKER_03
transcript.pyannote[2735].start 17637.40971875
transcript.pyannote[2735].end 17637.86534375
transcript.pyannote[2736].speaker SPEAKER_06
transcript.pyannote[2736].start 17637.86534375
transcript.pyannote[2736].end 17638.97909375
transcript.pyannote[2737].speaker SPEAKER_06
transcript.pyannote[2737].start 17639.58659375
transcript.pyannote[2737].end 17640.81846875
transcript.pyannote[2738].speaker SPEAKER_06
transcript.pyannote[2738].start 17640.88596875
transcript.pyannote[2738].end 17648.15909375
transcript.pyannote[2739].speaker SPEAKER_06
transcript.pyannote[2739].start 17648.41221875
transcript.pyannote[2739].end 17651.16284375
transcript.pyannote[2740].speaker SPEAKER_06
transcript.pyannote[2740].start 17651.21346875
transcript.pyannote[2740].end 17652.02346875
transcript.pyannote[2741].speaker SPEAKER_06
transcript.pyannote[2741].start 17652.04034375
transcript.pyannote[2741].end 17653.76159375
transcript.pyannote[2742].speaker SPEAKER_05
transcript.pyannote[2742].start 17669.10096875
transcript.pyannote[2742].end 17669.77596875
transcript.pyannote[2743].speaker SPEAKER_05
transcript.pyannote[2743].start 17669.96159375
transcript.pyannote[2743].end 17670.50159375
transcript.pyannote[2744].speaker SPEAKER_20
transcript.pyannote[2744].start 17685.21659375
transcript.pyannote[2744].end 17685.63846875
transcript.pyannote[2745].speaker SPEAKER_20
transcript.pyannote[2745].start 17691.69659375
transcript.pyannote[2745].end 17692.96221875
transcript.pyannote[2746].speaker SPEAKER_20
transcript.pyannote[2746].start 17709.97221875
transcript.pyannote[2746].end 17710.02284375
transcript.whisperx[0].start 1811.735
transcript.whisperx[0].end 1821.961
transcript.whisperx[0].text 好 各位請就座好 出席委員已足法定人數現在開會請議事論言先讀上次議事錄
transcript.whisperx[1].start 1833.755
transcript.whisperx[1].end 1854.351
transcript.whisperx[1].text 立法院第十一屆第三會期交通委員會第四次全體委員會議議事錄時間一百一四年三月二十七日星期四上午九十至中午十二時五十二分地點本院紅樓二零一會議室出席委員李坤哲等十五人立席委員黃國昌等十二人立席官員國家通訊傳播委員會代理主任委員陳崇樹等
transcript.whisperx[2].start 1854.791
transcript.whisperx[2].end 1881.465
transcript.whisperx[2].text 主席許昭及委員致捷報告四項宣讀上市會議議事錄決定議事錄確定邀請國家通訊傳播委員會列席報告業務概況並備諮詢本日會議由國家通訊傳播委員會代理主任委員陳崇樹報告後藉由委員洪孟凱等20人提出諮詢均經代理主任委員陳崇樹及相關人員分別予以答覆決定一報告及詢問完畢二為有號等二人所提書面諮詢
transcript.whisperx[3].start 1882.369
transcript.whisperx[3].end 1911.728
transcript.whisperx[3].text 均列入記錄並刊登公報三委員於諮詢中要求提供相關書面資料或未及答覆部分請國家通訊傳播委員會盡速以書面答覆散會宣讀完畢好那個議事錄等一下再請處理現在我來介紹今天列席的那個官員我們國家通訊傳播委員會的代理主委陳崇樹主委
transcript.whisperx[4].start 1913.595
transcript.whisperx[4].end 1922.178
transcript.whisperx[4].text 主任秘書黃文哲主任秘書綜合處處長溫處長基礎處處長陳春木平台事業管理處副處長黃天陽電台與內容事務處林慧琳法律處處長蔡志魯
transcript.whisperx[5].start 1943.015
transcript.whisperx[5].end 1960.328
transcript.whisperx[5].text 北區監理處處長蔡國棟數位部政務次長林怡靜次長資源管理司司長曾文芳法治處副處長吳怡倫數位產業級檢證機政嚴坤鴻
transcript.whisperx[6].start 1971.667
transcript.whisperx[6].end 2000.907
transcript.whisperx[6].text 法務部我們政次黃士傑政次參事廖江憲副司長簡美惠這個我們檢察司的副司長內政部刑事警察局副局長邱少洲詐欺犯罪防治中心科長林耕宇科長好以上
transcript.whisperx[7].start 2002.574
transcript.whisperx[7].end 2023.82
transcript.whisperx[7].text 以上這些官員介紹那現在是不是請我們啊代主委陳代主委針對今天的這些打醒跟各位委員所提案的個案啊也就本日進行
transcript.whisperx[8].start 2026.535
transcript.whisperx[8].end 2039.673
transcript.whisperx[8].text 應經核准之電信管理設平器具及電信管理設平器具製造輸入及申報作業管理辦法電信管理業務
transcript.whisperx[9].start 2043.055
transcript.whisperx[9].end 2061.561
transcript.whisperx[9].text 歸會及收賄標準第14條之條文等行政命令及電信管理法修正案的審查針對這些請我們現在NCC我們陳代主委來做說明那時間在15分鐘以內
transcript.whisperx[10].start 2067.327
transcript.whisperx[10].end 2076.178
transcript.whisperx[10].text 主委還沒有報告以前我再來補充介紹我們本會召委先進行報告
transcript.whisperx[11].start 2088.052
transcript.whisperx[11].end 2106.188
transcript.whisperx[11].text 主席各位委員各位女士先生大家早安今天應要列席貴委員會就電信管制設明器材製造輸入及申報作業管理辦法及電信業務規範收費標準及應經合整則電信管制設明器材條文提出本會說明進行指教一
transcript.whisperx[12].start 2107.469
transcript.whisperx[12].end 2136.292
transcript.whisperx[12].text 關於修正陰莖核整電信管制設備器材部分首先是第一級電信管制設備器材的納管納管的主要項目有干擾箱、遮蔽器等第二部分是第二級電信管制設備器材新增海上倖存者電位裝置修正電信管制設備器材製造輸入及申報作業的管理辦法的重點第一個是第三條增訂第一級電信實驗第一級電信管制設備器材項目
transcript.whisperx[13].start 2138.032
transcript.whisperx[13].end 2158.183
transcript.whisperx[13].text 第二個重點是第七條及第八條增訂第一級電信管制設備器材使用計畫申請程序及應付文件的規定第三個重點是第三條增訂第二級電信管制設備器材進口核准政治進口用途新增供外國傳播或外銷傳播使用第四個重點是
transcript.whisperx[14].start 2158.863
transcript.whisperx[14].end 2169.922
transcript.whisperx[14].text 第三條增訂得憑審驗證明即可進口之器材種類簡化行政程序第十七條增訂救災人員用之專用代碼
transcript.whisperx[15].start 2171.257
transcript.whisperx[15].end 2197.535
transcript.whisperx[15].text 第六是十八條修正應分別申請進口核准證之情勢第七第23條明定取得電台執照視同已完成申報第八第24條增訂業餘無線電台可憑審驗證明解除列管第九第25條增訂特殊用途器材免報請主管機關解除列管第十第26條簡化未經形式認證業餘無線電機之管理方式
transcript.whisperx[16].start 2201.377
transcript.whisperx[16].end 2218.859
transcript.whisperx[16].text 第十一 第三十一條增訂主管機關得委託他機關辦理業務之授權規定那第三個執法規定電信管理業務規費收費標準十四條的修正他重點有四個第一個是用第二級電信管制設備機材輸入核准審查費
transcript.whisperx[17].start 2220.322
transcript.whisperx[17].end 2245.15
transcript.whisperx[17].text 第二 第二級電信管制設明器材使用計畫審查費第三 電信管制設明器材進口核准暫期審查費這些都是為了反映行政成本結語 為回應最新民意本會業或財政部同意停徵自用第二級電信管制設明器材輸入核准審查費一年現在也已經啟動退費作業程序將陸續聯繫進口人確認相關資料後進出退費
transcript.whisperx[18].start 2249.511
transcript.whisperx[18].end 2277.783
transcript.whisperx[18].text 本會議將針對這段期間各界所提保規意見進行研析規劃在一年內檢討相關法規並完成修正作業那今天的第二部分是關於電信管理法的部分委員所提的修正重點包括委員黃建豪等19人提案修正電管法第5條第8條及第79條修正條文的草案重點是第5條應辦理定義事業登記的情況
transcript.whisperx[19].start 2280.197
transcript.whisperx[19].end 2293.043
transcript.whisperx[19].text 也增訂未辦理電信事業登記者視同電信事業以及利用行動寬頻專用電信網路連接公眾電信網路者為電信事業之登記第二點 第八條 增訂第五項
transcript.whisperx[20].start 2296.837
transcript.whisperx[20].end 2313.892
transcript.whisperx[20].text 那第二大重點是臺灣民眾黨團提案修正電信管理法第五條及第八條之一的修正案重點有二第一第五條修正為提供電信服務者應向NCC辦理定義事業之登記第二新政第八條之一規定定義事業應進行確認客戶身份程序
transcript.whisperx[21].start 2314.873
transcript.whisperx[21].end 2332.839
transcript.whisperx[21].text 第三個提案是委員眾嘉賓等21人提案修正電信管理法第5條第9條及第79條修正條文重點有二第一第5條應辦理電信事業登記的情況增加MVMO以及境外銷售事業所提供之語音及速遞公眾通訊服務
transcript.whisperx[22].start 2334.465
transcript.whisperx[22].end 2361.892
transcript.whisperx[22].text 第二重點是第九條增訂第五項規定電信事業或銷售境外所提供的語音或數據等公共通信服務之經營者銷售用戶號碼應核對及登錄用戶資料第四個提案是台灣民眾黨團提案修正電信管理法第九條及第四十條規定第五個提案是委員陳俊宇等十九人提案修正電信管理法第七十五條修正規定加重這個罰還額度
transcript.whisperx[23].start 2364.434
transcript.whisperx[23].end 2372.202
transcript.whisperx[23].text 那第二部分是NCC對委員所提案的修正的回應說明第一個配合打在修正的相關議題的部分
transcript.whisperx[24].start 2374.919
transcript.whisperx[24].end 2400.804
transcript.whisperx[24].text 上述所有委員所提的案子相關提供電信服務的業者或經營MVMO轉售或使用智慧訓練號碼及物聯網號碼以外的用戶號碼ISP及應納管的部分這一部分利益良善但為配合打造而要求所有的電信服務都要代辦理登記可能會將管理或者治理的思維跟總意
transcript.whisperx[25].start 2402.565
transcript.whisperx[25].end 2421.056
transcript.whisperx[25].text 網際網路的這一部分跟資訊服務兩個層面涵蓋在內會依託電信服務它僅僅涵蓋基礎網路層營運層的範圍實務上因為上南明確界定電信服務的範疇這個會大幅改變電信管理法的管制架構另外
transcript.whisperx[26].start 2422.754
transcript.whisperx[26].end 2443.425
transcript.whisperx[26].text 像一般第五條我們目前現行第五條規定使用電信資源者有強制登記的義務但是資訊服務業者等像LINE或Instagram等如果沒有辦理登記後續的是否處罰會產生執行上的困擾那第二部分是關於這個
transcript.whisperx[27].start 2445.27
transcript.whisperx[27].end 2472.236
transcript.whisperx[27].text 提議建議說應該要從事MVMO轉售服務的包括ISB以及是否納管這一部分本會的內部的討論的結論是採正面態度那如果MVMO要拉伸到母法來列管這邊我們也予以尊重但是我們就這個ISB的部分因為現行的業者大小規模
transcript.whisperx[28].start 2474.704
transcript.whisperx[28].end 2495.719
transcript.whisperx[28].text 動態範圍非常大如果登記以後都以相同義務來要求恐怕會違反比例原則那我們希望說能夠在就營業規模營運型態風險管控能力對供應影響屏住等需要有個層級化的義務再者上述的定義事業應該落實KYC的義務這一部分在打造條例去年7月31號
transcript.whisperx[29].start 2498.999
transcript.whisperx[29].end 2510.85
transcript.whisperx[29].text 施行公佈之後這些提案大部分是在這個打造條例施行前所提實務上我們已經在配合落實打造條例的不管是17條18條19條23條等都已經在落實所以這一塊已經有已經有以納管
transcript.whisperx[30].start 2516.215
transcript.whisperx[30].end 2534.172
transcript.whisperx[30].text 另外我們一例電信管理法六四條授權規定定的電信事業用戶號碼使用管理規則也已經將KYC等等予以納管所以在六四KYC的部分目前法制工具上升完備是無需要修正電信管理法來增納KYC的義務
transcript.whisperx[31].start 2535.373
transcript.whisperx[31].end 2551.825
transcript.whisperx[31].text 那另外加入DSRPG機制配合解析的議題實務上DSRPG機制僅能避免使用者接取惡意或不當的域名名稱但是無法避免使用者直接以IP Address來登錄來進階的部分
transcript.whisperx[32].start 2554.947
transcript.whisperx[32].end 2580.169
transcript.whisperx[32].text 這種情況所以我們覺得說況且網際網路的接取義務它不涉及到網路內容的偵測與審查所以這部分我們覺得還有待討論的空間另外根據TEDaMIC的說明DSRP是志願參與的機制成員除了ISP也包括教育部的學術網路所以即便是沒有登記為定義事業也能夠加入
transcript.whisperx[33].start 2581.03
transcript.whisperx[33].end 2600.081
transcript.whisperx[33].text 第三個是關於提案的內容的重點是包括增進網路流量紀錄部分這一塊也是在去年通保法修訂前所提但是去年7月31號通保法修正後這一部分已經在該法已經有一所規定那今天的法務部的報告也有對這方面有所呼應結語
transcript.whisperx[34].start 2602.122
transcript.whisperx[34].end 2626.06
transcript.whisperx[34].text 本會尊重各委員提出的修法意見但電信管理法除了防制詐騙外 攸關產業發展 市場公平競爭與消費的權益等除了參考大院委員所提的草案是否增管服務類型管制正當性法律架構調整管制方式是否符合比例原則等我們認為需要通盤考量也要與外界通訊溝通以降低修法衝擊
transcript.whisperx[35].start 2627.361
transcript.whisperx[35].end 2655.245
transcript.whisperx[35].text 本會感謝大院對於電信管理法修法議題的關切期待行政院提出修法草案後即時再請大院指教與支持 謝謝好 謝謝陳代主委那接下來我們就數位部林次長報到的請準備來準備一下那我來補充介紹我們本會委員我們洪孟楷委員
transcript.whisperx[36].start 2658.165
transcript.whisperx[36].end 2663.741
transcript.whisperx[36].text 張祺凱委員好現在我們請我們數位部林次長來報告
transcript.whisperx[37].start 2674.11
transcript.whisperx[37].end 2690.965
transcript.whisperx[37].text 主席各位委員大家好今天的會議主要是審查NCC函請的兩個提案以及各位委員針對電信管理法條文修正草案等提出的五個提案本部受邀出席向大家簡要報告相關情況也請各位委員指導
transcript.whisperx[38].start 2692.026
transcript.whisperx[38].end 2711.643
transcript.whisperx[38].text 首先為了讓政府發送的簡訊更容易辨識並防止詐騙分子冒充政府發送簡訊本部推出了111政府專屬短碼簡訊服務現在所有政府機構都可以使用111這個專屬號碼發送簡訊讓民眾一眼就能確認收到的簡訊是不是由政府所發送的
transcript.whisperx[39].start 2712.344
transcript.whisperx[39].end 2729.273
transcript.whisperx[39].text 目前已經有394個單位使用111短碼簡訊服務並截至今年2月底已經有超過1105萬條簡訊透過這項服務發送出去了各位有緣的提案將第二類電信事業的相關業者納管強化客戶風險所謂的KYC機制
transcript.whisperx[40].start 2733.976
transcript.whisperx[40].end 2758.674
transcript.whisperx[40].text 及新增調取網路流量紀錄的規定以打擊詐欺協助攔阻設兒少性侵不法網站主要涉及的主管機關是NCC的權責本部敬表尊重以上是本部的報告敬請各位委員指教謝謝謝謝我們數位部的林次長接下來請法務部的黃次長來報告
transcript.whisperx[41].start 2770.625
transcript.whisperx[41].end 2786.917
transcript.whisperx[41].text 主席、各位委員還有所有的與會同仁大家早安大家好本日封邀列席貴委會全體委員會議審查相關的法案及委員會命令請代表法務部列席並提出報告如下
transcript.whisperx[42].start 2787.918
transcript.whisperx[42].end 2805.883
transcript.whisperx[42].text 本部為落實打詐綱領嚴懲詐欺犯罪任由賦予執法機關運用科技偵查手段法律基礎是必要並須完備相關的法制片以精準打擊詐欺犯罪故好前經行政院同意你具打詐釋法經大院陸續
transcript.whisperx[43].start 2808.064
transcript.whisperx[43].end 2823.837
transcript.whisperx[43].text 113年7月12日7月16日三讀通過詐欺犯罪危害防治條例通訊保障及監察法下層通保法以及刑事訴訟法特殊強制處分專章以及洗錢防治法的修正草案
transcript.whisperx[44].start 2825.413
transcript.whisperx[44].end 2849.07
transcript.whisperx[44].text 其中有鑒於近來詐欺案件氾濫且資安攻擊事件或網路恐嚇信件平仁均為利用網路匿蹤這案件為了溯源追查上開案件犯嫌之真實身份新修正通過通保法已經增訂調取網路流用紀錄之法定程序並且也在通保法的第三條之一的第三項
transcript.whisperx[45].start 2849.85
transcript.whisperx[45].end 2872.617
transcript.whisperx[45].text 明定好網路流量記錄之相關定義好那麼另外的關於網路流量記錄系統的設置方式保存方式保存期間查詢的作業程序調取之項目監督費額及其他相關事項之辦法依依照通保法第十四條之一第六項的授權由本部會同內政部並會長
transcript.whisperx[46].start 2874.717
transcript.whisperx[46].end 2902.471
transcript.whisperx[46].text 國家通訊傳播委員會及相關機關訂定完成了相關的授權執法於113年的12月27日發布網路流量紀錄的管理辦法針對這個相關的系統的設置方式調取的紀錄項目及保存的時間電信事業及設置公眾電信網路者的協力義務以及調取網路這個流量紀錄的費用等等事項均以強加規範
transcript.whisperx[47].start 2903.872
transcript.whisperx[47].end 2924.081
transcript.whisperx[47].text 是以這個草案第9條來增訂相關授權規定之必要性 建請大院參酌主管機關之意見來進行審議各草案其餘規範 電信事業登記及管理相關事項 試涉各該主管機關權責 本部競表尊重 以上報告 敬請各位指教 謝謝
transcript.whisperx[48].start 2933.703
transcript.whisperx[48].end 2948.823
transcript.whisperx[48].text 好謝謝我們黃市長那因為現在在場有三位委員那我們的那個議事錄我們確定一下請問各位委員有沒有意見好沒有意見我們的議事確定好謝謝
transcript.whisperx[49].start 2967.274
transcript.whisperx[49].end 2969.836
transcript.whisperx[49].text 現在我們就來試試看現在我們就來試試看現在我們就來試試看
transcript.whisperx[50].start 2993.815
transcript.whisperx[50].end 2994.235
transcript.whisperx[50].text 今天有幾個案還有那個
transcript.whisperx[51].start 3003.556
transcript.whisperx[51].end 3018.732
transcript.whisperx[51].text 呃另外我們那個喜智捷我們召委齁我們召委來抱一下吹一下的齁剛才沒介紹好我們陳靜林陳委員齁再補充進好接下來
transcript.whisperx[52].start 3020.168
transcript.whisperx[52].end 3043.82
transcript.whisperx[52].text 我們因為今天有好幾個案也就是現在列席的台灣民眾黨有提兩個案那現在我們首先請我們張祺凱委員來做提案說明針對電信管理法修正的提案黨代表及委員說明的要旨那現在首先請我們張祺凱委員來說明
transcript.whisperx[53].start 3049.11
transcript.whisperx[53].end 3053.839
transcript.whisperx[53].text 陳進寧的來的一毛鐵案
transcript.whisperx[54].start 3060.266
transcript.whisperx[54].end 3080.922
transcript.whisperx[54].text 我今天是代表我們主席林國成林委員來做提案說明這次台灣民眾黨提出的是修正第五條跟第八條之一重點在於說為了要加強二類電信的管理跟兼顧通信市場的公平競爭所以要修正
transcript.whisperx[55].start 3081.883
transcript.whisperx[55].end 3102.283
transcript.whisperx[55].text 第五條跟第八條之一的這個草案要規定電信業者要跟政府登記而且要接受管理同時呢要加強電信服務業者這個客戶風險的這個管理的機制比較具體的條文修正條文在第五條我們明定
transcript.whisperx[56].start 3104.059
transcript.whisperx[56].end 3127.691
transcript.whisperx[56].text 提供電信服務應該向主管機關辦理電信事業的登記違反前項規定者沒有向主管機關辦理電信事業的登記由中央主管機關除以新台幣100萬元以上1000萬以下的罰款而且要通知限期改正屆時沒有改正者要按次
transcript.whisperx[57].start 3130.069
transcript.whisperx[57].end 3147.389
transcript.whisperx[57].text 處罰而且勒令中斷服務我們在法案裡面這樣一個明定另外在第8條第8條之一請條文大家可以參閱然後這個規定在最後有明定就是違反第一項第三項規定及第四項鎖定犯法者由中央機關
transcript.whisperx[58].start 3149.971
transcript.whisperx[58].end 3175.458
transcript.whisperx[58].text 處電信業者新台幣100萬元以上600萬元以下的罰款而且通知限期是要改正的這一期沒有改正者得案次予以處罰那另外第二部分的修正重點是在增訂網路流量的記錄的定義跟制定保存網路流量的記錄的辦法跟授權的規定這個重點是因為
transcript.whisperx[59].start 3177.455
transcript.whisperx[59].end 3198.633
transcript.whisperx[59].text 台灣民眾黨認為要同步修法 刻意電信事業跟設置公眾電信網路業者他有保存網路流量記錄的這個義務所以我們明確在這個第九條的條文提出一個修正案對網路流量的記錄做一個明確的定義另外呢
transcript.whisperx[60].start 3199.758
transcript.whisperx[60].end 3223.871
transcript.whisperx[60].text 也明確的提到這一項的網路流量紀錄的保存期限跟他的方式還有他保存的這個資料的範圍還有收匯這個方式跟其他相關的事項由主管機關來定之另外在40條修正案裡面特別是要強調網路流量這個紀錄把它加上去我代表這個我們這個主席林國成做這樣一個提案說明 謝謝
transcript.whisperx[61].start 3225.575
transcript.whisperx[61].end 3232.847
transcript.whisperx[61].text 好 謝謝我們張祺凱 張委員那大概提案的要旨都已經講得非常清楚
transcript.whisperx[62].start 3233.479
transcript.whisperx[62].end 3261.738
transcript.whisperx[62].text 那另外特別跟主委說明一下因為我補充說明一下這個也就是40條修改這些網路流量的紀錄這個部分是提供你們參考那因為我們有幾個華就是打造的華都已經把它放進去所以這個我們也原則性這個是我們黃國昌委員他特別非常重視所以這個部分
transcript.whisperx[63].start 3262.378
transcript.whisperx[63].end 3289.148
transcript.whisperx[63].text 也就是可以提供你們參考但是不以修正這個部分我們可以不以修正好所以這個我特別說明一下那至於就是第八條之一這個部分我們蠻在乎的因為現在我們整個打炸的法定修訂過程當中沒有提到這一塊那真正的問題現在所有的破口最嚴重的就是這個
transcript.whisperx[64].start 3290.473
transcript.whisperx[64].end 3311.678
transcript.whisperx[64].text 所以提供給主委還有我們有關單位的代表提供這個參考所以以上這些提供給我們NCC我們陳代主委這裡參佐好不好好接下來就請我們提案人陳俊宇委員來做提案說明時間3分鐘拜託俊宇
transcript.whisperx[65].start 3331.264
transcript.whisperx[65].end 3338.916
transcript.whisperx[65].text 主席我們在場陳主委還有各席的我們主管還有各位委員大家早
transcript.whisperx[66].start 3341.055
transcript.whisperx[66].end 3364.471
transcript.whisperx[66].text 我們針對這個電信管理法第75條的部分來做一個提案說明那由於我們近年來這個詐騙案居高不下並且犯罪的手法一直在翻新造成國人相當嚴重的一個財產損失那我們根據警政署的這個打詐儀表板的這個數據顯示假投資詐騙還有網路購物的這個詐騙依然是我們詐騙手法
transcript.whisperx[67].start 3371.236
transcript.whisperx[67].end 3376.06
transcript.whisperx[67].text 內最大宗的而有關這個電信詐騙的這種犯罪多為詐騙集團透過申辦人頭這個門號辦假帳號來聯繫受害者並且進行後續的相關詐欺的這個行為
transcript.whisperx[68].start 3389.133
transcript.whisperx[68].end 3410.607
transcript.whisperx[68].text 那有鑑於這個詐欺的犯罪需要電信業者積極的協力共同來預防那參佐本法第37條所顯示設置使用電信資源的這個公眾網路者應該將這個申辦門號者之身份查核作業與審查納入營運的這個計畫當中業者在這個前端門號核發的這個作業
transcript.whisperx[69].start 3417.697
transcript.whisperx[69].end 3426.847
transcript.whisperx[69].text 流程上有落實審核和管理的責任而在第75條原定50萬以上500萬以下的罰款恐有過輕之餘
transcript.whisperx[70].start 3435.709
transcript.whisperx[70].end 3452.329
transcript.whisperx[70].text 嚇阻效果有限所以本席在第一會期便提出電信管理法第75條的修正希望能夠透過提高違規的成本以敦促業者來落實對於門號申辦者的這個身份進行查核
transcript.whisperx[71].start 3453.15
transcript.whisperx[71].end 3470.038
transcript.whisperx[71].text 那對於條文的修正我所要強調的是電信業者必須要落實KYC的義務以賀止人頭門號被詐騙集團進行犯罪所用那從源頭來阻斷犯罪
transcript.whisperx[72].start 3470.858
transcript.whisperx[72].end 3492.37
transcript.whisperx[72].text 進一步避免民眾的財產損失我相信這才能夠根絕詐騙集團利用我們電信業者的手法來做詐騙以上我請我們NCC相關部門應該要來重視看能不能來做一個適度的修正以上 謝謝
transcript.whisperx[73].start 3493.922
transcript.whisperx[73].end 3518.763
transcript.whisperx[73].text 好謝謝我們陳俊宇等19位委員提出他這個電信華的75條的修正案所以拜託NCC及有關單位就這個針對這個提案特別去研議一下來那接下來就請我們鍾嘉斌委員來提案說明鍾嘉斌委員等21位修改的
transcript.whisperx[74].start 3519.764
transcript.whisperx[74].end 3525.291
transcript.whisperx[74].text 第五條 第九條 七十九條以上的查案請宗嘉斌委員來做提案說明
transcript.whisperx[75].start 3526.484
transcript.whisperx[75].end 3553.06
transcript.whisperx[75].text 謝謝主席戴維宣讀本席等21人的提案條次有鑒於通訊傳播業已經進入到中高度的匯流過去依照基線設備就是包括基礎跟管線的有無來進行分類管理比如說第一類第二類但是為了因應當前國際網際網路服務的形態原本依電信法許可的第二類的電信事業提供電信服務
transcript.whisperx[76].start 3553.96
transcript.whisperx[76].end 3581.034
transcript.whisperx[76].text 現在都不用再申請合佩他只要是沒有申請合佩無線電頻率電信號碼的業者比如說他是經營虛擬行動網路服務轉售或使用智慧虛擬碼及物聯網號碼以外的用戶號碼使用他電信事業提供之無線電頻率等這種情況的業者那麼應該妥為的因應並且避免漏洞發生
transcript.whisperx[77].start 3581.954
transcript.whisperx[77].end 3608.724
transcript.whisperx[77].text 那現在呢我們詐欺犯罪危害防治條例已經增訂明定相關的機制和技術線措施比如說限制瀏覽移除流量管制以及停止解析和限制接取這種方式來遏止詐騙顯見要求網際網路接取服務提供者就所謂的IASP來執行限制接取已經成為我們堵詐
transcript.whisperx[78].start 3609.824
transcript.whisperx[78].end 3638.403
transcript.whisperx[78].text 和網路治理的重要工具然而在我們兒童及少年性剝削防治條例以及性侵害犯罪防治法等法令也都明定IASP有配合執法機關執行限制接取的法律義務但是唯有目前電信管理法對於提供網路接取服務採自願登記造成目前我國現有的IASP的數量未明
transcript.whisperx[79].start 3639.324
transcript.whisperx[79].end 3656.977
transcript.whisperx[79].text 主管機關無法通知所有ISAP執行限制接取導致民眾仍然可以接取不法網站的執法漏洞考量到主管機關可能因為新興電信服務業的發展 監理還有考慮到消費者權益等需要
transcript.whisperx[80].start 3657.637
transcript.whisperx[80].end 3670.789
transcript.whisperx[80].text 需要將特定服務業者呢納入管理以利減和相關的服務項目和營業概況那也避免成為網路犯罪的漏洞因此呢本修正草案將從以往需
transcript.whisperx[81].start 3672.274
transcript.whisperx[81].end 3700.521
transcript.whisperx[81].text 經主管機關特許或許可時的經營改為登記制之後其中虛擬行動網路服務業者確實使用政府所核發之無線電頻率及用戶號碼等資源應向主管機關辦理電信事業登記其次用戶號碼為電信資源其轉售使用用戶號碼之行為無明確法律管制措施來集合實名制認證
transcript.whisperx[82].start 3701.661
transcript.whisperx[82].end 3718.819
transcript.whisperx[82].text 造成犯得以利用此漏洞來脫逃罪責那應其可與或合配用戶電號碼的電信事業提供電信服務應登記並予以管制那另外智慧虛擬碼及物聯網號碼無轉售情形純屬機械使用的那沒有這種前述風險就排除
transcript.whisperx[83].start 3725.285
transcript.whisperx[83].end 3749.911
transcript.whisperx[83].text 那另外為了補足並強化現行電信管理法將用戶實名認證納入電信事業一般業務明定電信事業及經營者在銷售用戶號碼之實名認證的責任才能有效的降低網路犯罪重上我們提出了電信管理法第5條第9條及第79條的修正草案將相關業者納入管理以避免類似情況重複發生 以上好 謝謝我們
transcript.whisperx[84].start 3753.393
transcript.whisperx[84].end 3773.114
transcript.whisperx[84].text 我們鍾嘉賓委員代表21個提案說明接下來我們黃建豪委員等19位那現在請我們黃建豪委員來做第5條第8條79條修正草案的說明現在請黃建豪委員
transcript.whisperx[85].start 3774.687
transcript.whisperx[85].end 3794.749
transcript.whisperx[85].text 好 謝謝主席那本席今天提到的這個是電信法第5條第8條第79條條文修正的草案那主要也是要針對這個預防我們的詐騙集團掛鉤的問題那當然這個修法的源起也是源自108年我們從電信法轉到電信管理法之後許多的二類電信在新的
transcript.whisperx[86].start 3795.51
transcript.whisperx[86].end 3824.053
transcript.whisperx[86].text 電信管理法裡面是沒有被管束的那本來在電信法裡面是針對二類電信其實是有管的那現在是沒有所以我們針對這部分在電信管理法第五條裡面有幾個比較強化的部分那第一個當然是新增對於尚未辦理電信事業登記進行轉軌的業者應該視為他同樣是電信事業直接納管那這樣的做法我們希望有利於主管機關對於該事業登記的時候重新檢視他目前提供的服務內容跟營業概況避免他成為電信詐騙的這個漏洞
transcript.whisperx[87].start 3825.214
transcript.whisperx[87].end 3851.32
transcript.whisperx[87].text 那在針對虛擬情動網路服務業業者部分因為他已經也確實的使用了政府所核發的無線電頻率及用戶號碼等資源所以也應該要強化要求他向主管機關來辦理電信事業的登記那在用戶號碼為電用戶號碼本身就作為電信資源但他的轉售跟使用用戶的號碼的行為目前的這個電信管理法裡面沒有明確的法律管制措施用來稽查實際用戶的身份
transcript.whisperx[88].start 3851.9
transcript.whisperx[88].end 3872.017
transcript.whisperx[88].text 所以可以看到很多的詐騙集團有些人士他是利用了這樣的疏漏逃脫他的不法行為所以我們也希望說透過這個第五條第一項第六款的修正讓他能夠提供登記之後一樣能夠有這個有管制的作為那其他使用其他電信事業提供的無線電頻率者因為他一樣可以獲得
transcript.whisperx[89].start 3873.418
transcript.whisperx[89].end 3897.47
transcript.whisperx[89].text 無線電頻率或用戶號碼的電信事業提供相關類似的電信服務我們想這部分目前也沒有管制我們希望也把它列入納管裡面那再來有一個第五項第五條第一項的第八款裡面我們是授權主管機關可以是各項的犯罪行為不斷的日新月的情況下來考慮新增納管其他的電信服務項的業務
transcript.whisperx[90].start 3898.911
transcript.whisperx[90].end 3923.557
transcript.whisperx[90].text 那在第8條的部分主要是希望說能夠強化防詐的作為將核對和登錄用戶的資料一樣一併的納入電信事業的一般義務裡面有效的降低詐欺的犯罪那也明定電信事業的銷售用戶號碼KYC就是Know Your Customer就是查核身份的這個責任我把它增訂在第8條第5項那在第79條的部分
transcript.whisperx[91].start 3925.31
transcript.whisperx[91].end 3951.461
transcript.whisperx[91].text 是為了避免二類業者採取不登記電信事業的手段規避原先他們本來就應該負擔的責任的義務跟罰則所以將違反所謂剛剛提到第五條第一項規定未向主管機關辦理電信事業的這個業者要納管那也明定電信事業沒有落實KYC沒有落實這個身份查核的責任我把它定在79條第一項第25款第26款以上說明 謝謝
transcript.whisperx[92].start 3956.396
transcript.whisperx[92].end 3971.022
transcript.whisperx[92].text 謝謝我們黃建豪委員的提案說明那現在我們要進行行打先告以下事項行打時間出席委員6加2分鐘
transcript.whisperx[93].start 3972.122
transcript.whisperx[93].end 3988.412
transcript.whisperx[93].text 列席委員4加1分鐘委員花言登記到10點30分截止那各委員如果有臨時提案請以10點前提出以便議事人員的會診
transcript.whisperx[94].start 3989.853
transcript.whisperx[94].end 4019.133
transcript.whisperx[94].text 那暫定10點30分休息10分鐘那另外中午休息的時間因為牽涉到我們各委員的醒打時間所以在這裡就比較反衝的特別跟大家宣布也就是我們下午是否要體檢那這個是打醒時間而來做決定所以特別跟各位來做先告
transcript.whisperx[95].start 4019.873
transcript.whisperx[95].end 4040.678
transcript.whisperx[95].text 那另外現在我們就請登記第一位的洪孟楷委員來巡打請洪孟楷委員好主席謝謝麻煩請陳代理主委陳代主委
transcript.whisperx[96].start 4046.004
transcript.whisperx[96].end 4075.046
transcript.whisperx[96].text 委員長好 代理主委早我想我們先請教一下因為緬甸在上禮拜發生大地震那我們有看到說有電視台在報導時候誤用網路的AI生成影像那NCC也發出三點聲明應該要落實事實查核那這電視台有做更正啟示但這件事情我們凸顯幾個部分AI現在是大家使用越來越頻繁尤其是生成影像也越來越方便對吧
transcript.whisperx[97].start 4075.706
transcript.whisperx[97].end 4089.864
transcript.whisperx[97].text 我看到我們NCC之前在113年還有做一個調查也特別把AI使用給放進去那就新聞台的這個案例來講未來新聞台到底能不能用AI生成影像來播放新聞
transcript.whisperx[98].start 4092.098
transcript.whisperx[98].end 4120.39
transcript.whisperx[98].text 根本報告AI的使用部分像有些電視台一定用它來播報氣象公視也有相關的一些報導但是那個是它所謂的虛擬主播嘛那我現在講的是像這一個案件裡面NCC發出三點聲明就說有新聞台用AI生成影像去播放地震那這一個未來NCC的標準是什麼可以允許新聞台在播放新聞的時候用AI生成影像嗎
transcript.whisperx[99].start 4122.567
transcript.whisperx[99].end 4145.26
transcript.whisperx[99].text 我們是回歸到到他們的編輯自主部分要他們follow他們自己的自律規範他們內部的內控管理那這部分我們有提醒他關於這個你的標準在哪邊主委這個我覺得是很正面要大家看待的因為有可能這樣的事情會越來越多那NCC的標準到底在哪裡第一
transcript.whisperx[100].start 4145.799
transcript.whisperx[100].end 4171.788
transcript.whisperx[100].text 完全不能用第二可以用沒有就是反正大家自主但第三用但是要加警語譬如說要告訴很清楚明白告訴大家這不是事實因為主委你應該有看過現在AI生成影像可以以假亂真非常真實甚至可以用我們之前講Deep City有可以用你的人臉然後直接變成這種
transcript.whisperx[101].start 4173.729
transcript.whisperx[101].end 4184.505
transcript.whisperx[101].text 影像那如果說未來有新聞台他想要播放什麼樣的一個新聞他直接模擬AI用一個名人的畫面行不行
transcript.whisperx[102].start 4185.472
transcript.whisperx[102].end 4214.23
transcript.whisperx[102].text 我們要求他這裡頭必須要追求這個事實查證的部分如果需要標示的話需要標示的部分都需要標示那可以允許之後用AI生成譬如說今天立法院的一個狀況他沒有拍到那個畫面但他可以生成我的臉你的臉然後我們來對話是一樣可是可以生成你的臉我的臉來還原那個場景嗎他要揭示他要揭露說他這個影像是只要揭露就可以
transcript.whisperx[103].start 4215.575
transcript.whisperx[103].end 4227.465
transcript.whisperx[103].text 而且還要事實查證也要事實查證那事實查證誰來查證如果說他是一個沒有辦法去好我另外一個角度法院
transcript.whisperx[104].start 4228.53
transcript.whisperx[104].end 4252.174
transcript.whisperx[104].text 以前因為法院裡面不能設以聽取判決或是說審理期間所以我們看到很多新聞台他是用素描對不對他是請人進去素描然後畫那個圖片出來那未來能不能直接用AI生成影像把當事人把法官他一樣啊他說他有進去看啊那用AI生成影像把那個畫面以前是用素描那我現在直接變成是AI影像
transcript.whisperx[105].start 4253.513
transcript.whisperx[105].end 4268.972
transcript.whisperx[105].text 基本上我們是要求他要有標示要有自立那這一塊部分他們工協會衛廣工會他們也有採訪的一些規範主委身為主管機關我們難道不需要防範衛然嗎我覺得這個是大家都可以想一想喔
transcript.whisperx[106].start 4269.733
transcript.whisperx[106].end 4293.69
transcript.whisperx[106].text AI生成影像已經那麼普及了未來只會多不會少如果我們NCC主管機關都沒有一個明確的態度的話我覺得這樣子反而沒有標準那你為什麼會在這一次緬甸大地震新聞台用AI生成影像然後NCC馬上有聲明但是也沒有處罰嘛看起來這個新聞台要不要被處罰
transcript.whisperx[107].start 4294.887
transcript.whisperx[107].end 4310.372
transcript.whisperx[107].text 根本報告我們其實現在有待未來的AI運用我們正在找那個外面的委員會都是製作會來製作AI人工智慧應用的指引都是廣電業者的AI人工智慧應用指引正在討論正在行程當中
transcript.whisperx[108].start 4311.431
transcript.whisperx[108].end 4341.011
transcript.whisperx[108].text 主委本席要就是說你們現在應該要著手亡羊補老猶未完矣但你不能現在連羊跑了你都還在那邊還在那邊講自主還在什麼什麼時候你們可以提出應該新聞台一體適用標準我沒有針對哪一家新聞台因為這可能是未來都會面臨的但是我們NCC要有態度要告訴大家那該處罰要處罰先講出界線讓新聞台知道而不是什麼都推給說自主自律
transcript.whisperx[109].start 4342.111
transcript.whisperx[109].end 4368.463
transcript.whisperx[109].text 各位什麼時候可以做到這塊我們那個委員會執行出來之後我們會找業者來討論然後看看是不是一個公版的治理規範請他們日後來落實是什麼時候時間點我們這個執行應該是今年的案子嘛應該快的話第三季應該第三季快的話那就下半年現在才4月2號
transcript.whisperx[110].start 4371.414
transcript.whisperx[110].end 4386.148
transcript.whisperx[110].text 我們回去再請我們的湊頭單位再請大家加緊腳步看看有沒有可能更提早一點主委本期期待是宜快不宜慢因為這是一個標準來再來第二部分下半年喔你講的喔
transcript.whisperx[111].start 4388.089
transcript.whisperx[111].end 4403.037
transcript.whisperx[111].text 我們需要能力越快越好了 那目前的schedule是這樣子 標準出來讓大家有規則可循再來第二個部分我想今天我們審查有一個很重要的一個方向就是也是所謂的750元之亂現在因為NCC這邊已經有講到是說我們
transcript.whisperx[112].start 4411.534
transcript.whisperx[112].end 4431.716
transcript.whisperx[112].text 這個公眾平台也已經有通過要求重新討論收費標準那以謙卑的態度面對各界的意見思考使用者收費的合理性跟執行的妥善性所以我們現在進行的方向為何合理跟妥善你會以哪個方向來做
transcript.whisperx[113].start 4433.12
transcript.whisperx[113].end 4445.235
transcript.whisperx[113].text 我們兩個都會來進行那現在也是正在程序進行當中就是我們在跟財政部申請停政之後就已經持續進行業務宣導以及內部的這個法規是 所以現在沒有堅持750元的統一標準
transcript.whisperx[114].start 4447.725
transcript.whisperx[114].end 4477.228
transcript.whisperx[114].text 就是我們在研議過程在檢討過程裡頭這個應該是朝向這個最大主流名義目前最大主流名義是免徵嘛免徵 這個應該是我們主要的考量方向所以本席剛剛跟我們召委我們有一個提案就今天的這個審查我想前面的相關條文我們沒有意見因為尊重NCC委員NCC提出來的一個行政的作業但是對於後面付表的收費我們是予以不予通過我想這也是主委你剛剛講的一個方向嘛對不對
transcript.whisperx[115].start 4479.589
transcript.whisperx[115].end 4501.205
transcript.whisperx[115].text 報言這塊我們是建議免予通過然後做成要求我們再盡快的完成法規修正是當然啊就是要你們趕快再補後續的作業嘛來那免徵之後所以未來現在有眾說紛紜的說法有人講說是免徵一年有人講說是伺機而動等風頭過後之後再提出來
transcript.whisperx[116].start 4502.472
transcript.whisperx[116].end 4522.337
transcript.whisperx[116].text 各位跟委員報告因為我們是停政一年一年期間我們是期許我們能夠完成法規所謂標準的修正那如果說標準沒辦法如期修正完成我們會有再跟財政部再申請繼續展現停政的可能當初要收這個750元的時候有沒有考慮過到底影響會多廣多大
transcript.whisperx[117].start 4523.61
transcript.whisperx[117].end 4539.421
transcript.whisperx[117].text 當初的標準的作業程序對外徵詢意見我們都有做都有落實那你有評估譬如說一年可能因為這樣的一個標準可以收多少錢如果一年兩萬多件每一件750多件都呈上去就是這種數據
transcript.whisperx[118].start 4545.524
transcript.whisperx[118].end 4556.896
transcript.whisperx[118].text 現在數量又在增加所以這個數目字會再高一點本時看到你們去年的預算書啦稅率多增加了在審查費用多增加了一千萬
transcript.whisperx[119].start 4558.53
transcript.whisperx[119].end 4575.133
transcript.whisperx[119].text 所以換言之其實你們自己也知道是說這個只要收費上去之後比去年就是至少會多一千萬以上的稅率嘛那你之前有講說如果說是四萬台一年的話那750元就更多嘛等於是兩千多三千萬嘛
transcript.whisperx[120].start 4575.834
transcript.whisperx[120].end 4600.142
transcript.whisperx[120].text 對不對是那但重點在於是公平合理的收費標準以及不要讓大家覺得是說政府在搶錢這才是我們民意代表以及為什麼說一天裡面政府公共政策平台可以五千人達標我想這是民意的反彈請代理主委一定要聽到民意的真實性可以嗎可以我們現在就是朝這個方向在檢討
transcript.whisperx[121].start 4601.002
transcript.whisperx[121].end 4620.554
transcript.whisperx[121].text 最後今天有幾個委員都有討論到這個法案的一個修正本席也很重視打炸的必要性以及電信管理法我看你們給大家的一個這個修法建議也沒有反對你裡面也講到很多是說充分溝通降低修法的衝擊但是
transcript.whisperx[122].start 4621.474
transcript.whisperx[122].end 4648.269
transcript.whisperx[122].text 尊重各委員提出來的修法意見嘛是不是那其中你有提到但是希望電信管理法修法議題能夠跟行政院提出的修法草案一起來做討論那我想請教現在行政院電信管理法修法草案進度在哪裡目前還在我們會內的還在NCC還在NCC因為我們現在也還沒有送行政院
transcript.whisperx[123].start 4650.152
transcript.whisperx[123].end 4669.738
transcript.whisperx[123].text 那院版也就還沒有辦法出來那什麼時候可以出來我們期待盡快你這不就是拖延戰術嗎 以拖待變不是 因為我們現在委員會沒辦法組成代理主委很高興你又講到這個了代理主委上個禮拜很多委員都關心嘛
transcript.whisperx[124].start 4670.748
transcript.whisperx[124].end 4692.973
transcript.whisperx[124].text 那到現在一個禮拜過去了有沒有再請示一下了解一下我看行政院上禮拜的發言他不敢用正式回應他講政院人士表示持續徵詢中那有沒有去了解上個禮拜你在這邊很無奈的也講說上級機關這個是行政院長的權責要提出委員名單那您知道
transcript.whisperx[125].start 4694.584
transcript.whisperx[125].end 4719.057
transcript.whisperx[125].text 我在講一個數字給您了解我在講一個真實狀況可以了解您知道上一任陳建仁院長所提出來的四位委員名單什麼時候復委的嗎應該是去年第二季左右去年7月16號在第一會期的最後一天我們處理所有議案的時候那一天就正式復委
transcript.whisperx[126].start 4721.147
transcript.whisperx[126].end 4748.795
transcript.whisperx[126].text 一個會期就正式復委那請教 您知道第二會期交通委員會是做NCC委員的審理嗎第二會期開了十幾次交通委員會有藍的召委 有綠的召委你知道有排過幾次NCC委員的審查嗎權責不在我這邊你不知道 權責當然不在你這邊啊 你是代理主委啊這個是立法院的權責啊 但我只是請教您知不知道
transcript.whisperx[127].start 4750.191
transcript.whisperx[127].end 4764.44
transcript.whisperx[127].text 第二會期十幾次交通委員會開會有藍的招委有綠的招委NCC委員名單已經在7月16就覆為了但第二會期有排過幾次NCC委員審查應該是沒有零次
transcript.whisperx[128].start 4766.758
transcript.whisperx[128].end 4789.43
transcript.whisperx[128].text 所以現在在講嘛誰的責任民進黨的召委也沒有想要排NCC委員審查那直到了11月28號因為我們NCC組織法在三讀通過變成行政院要重新提人11月28號到今年現在是4月2號四個月過去了行政院長提的新的人選在哪裡沒有那所以
transcript.whisperx[129].start 4794.994
transcript.whisperx[129].end 4810.021
transcript.whisperx[129].text NCC現在在講跟我們講行政院提出修法草案電信管理法修法我們在拜託大院指教跟支持我也很想支持啊但是你們行政院的版本在哪裡沒有NCC
transcript.whisperx[130].start 4814.264
transcript.whisperx[130].end 4840.017
transcript.whisperx[130].text 幕僚作業中幕僚很辛苦啊公務人員很辛苦啊那沒有辦法開會因為現在委員沒有辦法補齊沒有辦法補齊誰的責任行政院長不提人四個月過去了到現在還是只聞樓梯響沒有任何委員名單出爐我甚至看到啊代理主委有媒體講說有可能要等到今年行政院現在最期待的罷免
transcript.whisperx[131].start 4841.916
transcript.whisperx[131].end 4867.334
transcript.whisperx[131].text 結束告一段落才要再提人還要再拖半年啊您覺得這樣子對NCC的業務會不會造成衝擊這部分我沒有立場表達意見你什麼沒有立場表達意見你是代理主委你現在連講說對NCC的業務有沒有衝擊你都不敢講了衝擊部分當然是有當然是有嘛主委
transcript.whisperx[132].start 4871.536
transcript.whisperx[132].end 4886.806
transcript.whisperx[132].text 就是論事專業我一定會質詢你你就就專業回答因為NCC是什麼獨立超然專業自主的機關不受任何執政者所影響這是你應該有的風骨謝謝謝謝委員好 謝謝孟愷謝謝我們洪孟愷委員的質詢好 現在
transcript.whisperx[133].start 4904.787
transcript.whisperx[133].end 4926.495
transcript.whisperx[133].text 好 感謝現在第二位林國成委員質詢主席請陳代理主委好 請陳代理主委來 黃竹密你也上來好了來 黃竹密教委好好
transcript.whisperx[134].start 4929.67
transcript.whisperx[134].end 4954.064
transcript.whisperx[134].text 好 謝謝主席 各位我們官員其實陳代主委因為我跟黃竹密跟你確確實實都時常有在溝通你們的問題所在但是我不希望我不希望我們在那邊跟他們參與政治因為
transcript.whisperx[135].start 4955.478
transcript.whisperx[135].end 4963.046
transcript.whisperx[135].text 我們這個單位是獨立單位兼有專業的單位所以
transcript.whisperx[136].start 4964.534
transcript.whisperx[136].end 4988.863
transcript.whisperx[136].text 不要跟政治有關 這點我蠻在乎的你如果不是獨立單位 或者專業性質的單位 我不會要求他們要有政治聯想 他們有政治意圖 或者政治作法 我沒有意見但是我們NCC 我千拜託萬拜託陳代主委 你還是要有擔當
transcript.whisperx[137].start 4990.582
transcript.whisperx[137].end 4998.776
transcript.whisperx[137].text 該你的業務 該做的就做不要穿插有政治性的東西這點我想我上次也跟你提醒過嘛
transcript.whisperx[138].start 4999.724
transcript.whisperx[138].end 5025.918
transcript.whisperx[138].text 因為我說實在我在當這個召委能做的我一定做能協調的我會幫你們協調讓你們的業務可以啊講快一點不妨害的情況之下不影響老百姓以及不影響你們的尊嚴監督的立場基本上我都會支持的我都會支持所以特別跟主委所以我不希望
transcript.whisperx[139].start 5026.678
transcript.whisperx[139].end 5053.081
transcript.whisperx[139].text 你們有正製兩制的把所有的意志放下去這點我極度反對好 那個陳代主委還有黃祖密因為花園人是你但是我就感覺到很奇怪還是老話一句我上個禮拜也已經請教拜託陳代主委也就是我們王政加NCC的委員
transcript.whisperx[140].start 5054.582
transcript.whisperx[140].end 5081.423
transcript.whisperx[140].text 他可以隨隨便便指控立法院不審你們現在跟他溝通的怎麼樣你們認為這是言論自由我絕對不會接受言論自由可以批評立法院啊今天你們NCC是一個獨立單位如果我們事實的東西我沒話講可是不是事實的東西他公然招搖公然招搖這種東西好嗎
transcript.whisperx[141].start 5084.636
transcript.whisperx[141].end 5109.592
transcript.whisperx[141].text 主委我說實在你現在是代主委沒錯他這個委員也是立法院通過的那怎麼會船過水無痕呢今天最起碼立法院都已經任命他為NCC委員他怎麼可以去指責這些這是你授意或者他個人的意思來主委你說明
transcript.whisperx[142].start 5111.035
transcript.whisperx[142].end 5123.841
transcript.whisperx[142].text 跟委員回報應該是他個人的言論上禮拜召委有指示我們回去大概查一些相關辦法大概是這樣子依據全區部所訂的公務員發表職務言論同意辦法
transcript.whisperx[143].start 5126.542
transcript.whisperx[143].end 5142.221
transcript.whisperx[143].text 它有兩項第一個前提是植物言論的定義是它必須要代表機關或者使用機關的職稱那它在社交媒體的部分它並沒有這些東西所以它不代表是植物言論的發表
transcript.whisperx[144].start 5144.443
transcript.whisperx[144].end 5172.113
transcript.whisperx[144].text 那第二個是他是政務人員他發表言論不需要機關同意這是那個辦法裡頭的規定那另外職務言論的定義在這個權益部所定的辦法裡頭是說所謂的職務言論是說你是跟這個機關的業務執掌有關那他這一部分他上次在社交媒體所講的是委員提名這一塊因為委員提名這一塊的執掌
transcript.whisperx[145].start 5179.121
transcript.whisperx[145].end 5190.965
transcript.whisperx[145].text 陳代主委你不要再講那些規定了他很明顯他現在做NCC的委員你不要忘了這NCC委員相當於部長級耶
transcript.whisperx[146].start 5192.926
transcript.whisperx[146].end 5221.335
transcript.whisperx[146].text 經過立法院裡面通過的他怎麼講話他可以關在他家裡面怎麼罵立法院我沒有意見公開上網就是公開的東西我管你幹什麼你現在除了他辭掉的隔天他去表示意見我沒有意見可是你現在還是在職還是待職你不要去拐彎抹角那個人事總處的有關公務人員之規定
transcript.whisperx[147].start 5222.415
transcript.whisperx[147].end 5249.122
transcript.whisperx[147].text 這你不要說這個啦來日本他就是要探討問題對就對不對就不對我到現在認為NCC這個王振嘉委員他不可以這樣去指責因為跟事實有出入所以就變成公然的造謠那當然我也不會去指責現在有些部會的部長也是公然造謠你不要所以我一直在講獨立單位
transcript.whisperx[148].start 5252.29
transcript.whisperx[148].end 5280.52
transcript.whisperx[148].text 專業單位千萬千萬不要有政治的連結我說實在的其他那些單位他是政府官他要怎麼做怎麼可以公然去造謠說我們不審這一點我很在意因為我都願意排啊我是在野黨啊我願意排啊你們為什麼都不表示意見我就感覺到很奇怪所以不要再跟我講這些今天我第二次去問
transcript.whisperx[149].start 5281.926
transcript.whisperx[149].end 5309.514
transcript.whisperx[149].text 你如果沒有妥善一個解決跟說明我第三次我還是會問問到什麼問到我這個召委卸任不然的話他就辭掉他辭掉我就不會問了所以主委這個我特別再次跟你叮嚀再次跟你叮嚀沒有一個說法跟這個你不要拿那個法令來跟我講很明顯他現在是現任NCC委員
transcript.whisperx[150].start 5310.988
transcript.whisperx[150].end 5326.705
transcript.whisperx[150].text 相當於正物質請他不要忘了他要去拍馬屁是他家的事拍馬屁不能公然造謠以及汙衛立法院這是我的言者注意我再第二次已經跟你們講我希望
transcript.whisperx[151].start 5328.267
transcript.whisperx[151].end 5350.024
transcript.whisperx[151].text 這個祖密你也要協助主委一下我跟你講你什麼時候跟我承認我什麼時候才不會問不然我會繼續問下去這個我特別跟主委你講好來接下來我們打詐當然有關啦打詐當然跟數位部啊跟警政署等等都有關但是
transcript.whisperx[152].start 5351.129
transcript.whisperx[152].end 5375.441
transcript.whisperx[152].text 我們二類的電信也就是我提案這些東西也是二類確確實實現在是打詐的破口打詐不分黨派大家都支持你們從你們的預算從你們的徵購預算我坦白跟你講這個打詐還是我們黨團黃總召帶著我們去刑事警察局
transcript.whisperx[153].start 5376.421
transcript.whisperx[153].end 5399.563
transcript.whisperx[153].text 還有去調查局等等這些把基層的聲音他們儀器的問題法規的問題等等所以一次把它修但是我們修了以後總是難免有遺之之憾也就是二類電信不納管我坦白跟你講這非常大的破口所以
transcript.whisperx[154].start 5400.683
transcript.whisperx[154].end 5427.314
transcript.whisperx[154].text 我們才提出這個二類電信納管這個部分所以主委要拜託這個要把它正視為一個非常嚴重破口的要納入管理當然會感覺到很麻煩但是這些對打炸是有幫助的所以我要拜託我要拜託我們主委這個要把它正視這是非常重要的一個破口好那個
transcript.whisperx[155].start 5428.851
transcript.whisperx[155].end 5449.224
transcript.whisperx[155].text 好另外我特別要提醒我們NCC不要到現在還是我們本縣有不同黨派的立委在那邊造謠說我們的預算你們的業務費被刪了只剩下一塊錢來 主委到底有沒有刪只剩下一塊錢有沒有嘛
transcript.whisperx[156].start 5450.695
transcript.whisperx[156].end 5476.957
transcript.whisperx[156].text 包招委 這個是在當時的記者會是當時我們是提醒說這個案子如果通過的話 會有這些後果沒有啦 你不要跟我講這個啦 主委有沒有三一塊錢嘛結果沒有嘛 對不對提案的人都已經撤掉嘛 是不是所以 我坦白跟你講 現在還有一個政務官 還有部長
transcript.whisperx[157].start 5478.354
transcript.whisperx[157].end 5490.423
transcript.whisperx[157].text 還有立法委員還在造謠什麼3到1塊錢你們真的喜歡3到1塊錢嗎他的表意可能是凸顯說不要啦 主委你不要幫他們講話沒有就沒有 有就有
transcript.whisperx[158].start 5491.564
transcript.whisperx[158].end 5519.622
transcript.whisperx[158].text 你們還剩下 還剩下四千多萬怎麼會只剩下一塊錢所以 這個不攻自破啦所以 主委 我才不跟你講這跟你 這不是你說的但是跟你有關當然我們就執行你啊所以這個部分好 接下來主委來 我們現在很窮什麼時候要送解凍案上來我願意排我用我的時間來排什麼時候要送上來
transcript.whisperx[159].start 5521.22
transcript.whisperx[159].end 5542.806
transcript.whisperx[159].text 我們要盡快 我們內部會加緊作業我希望 我都公開的我是在野黨的召委 我都願意排了請問一下 你們還要研議什麼東西所以主委 別這樣一天到晚就要哭窮人家是很同情 不會啦
transcript.whisperx[160].start 5543.886
transcript.whisperx[160].end 5571.921
transcript.whisperx[160].text 解凍案我願意排趕快送上來不要耽擱業務不要耽擱你們的業務所以我不希望在這個部分在這個部分主委連你都有政治性的這些業務推展這是不好的所以最後我還是真的要呼籲主委呼籲主委就是不要有政治就是用你的專業去把NCC做好至於委員什麼時候
transcript.whisperx[161].start 5573.622
transcript.whisperx[161].end 5598.369
transcript.whisperx[161].text 當然這個是行政院長的權利啦但是你是單位現在代理負責人你還是有下請善打之責任啊你要讓行政院長知道你們很需求這些委員趕快補齊啊好不好所以這個部分你們那個完委員的事要盡快
transcript.whisperx[162].start 5599.693
transcript.whisperx[162].end 5605.455
transcript.whisperx[162].text 你要給我答案 為什麼他會做這個事 好不好好 以上好 謝謝現在我們就請我們陳雪生委員他來執行
transcript.whisperx[163].start 5628.237
transcript.whisperx[163].end 5633.522
transcript.whisperx[163].text 好,謝謝主席,謝謝趙偉是不是請陳主任委員主委我接續剛才林國正委員的發言黃正佳是你們貴會的委員嗎?是他可以隨便在外面發言嗎?
transcript.whisperx[164].start 5654.144
transcript.whisperx[164].end 5683.14
transcript.whisperx[164].text 他也有他私領域的發言的自由是,他個人的身份嘛,是不是?是那你也可以用個人的身份到外面發言嗎?都不代表NCC啦你們所有的同仁都可以針對個人的意見來發言嗎?我也可以針對個人的意見發言嗎?可以這樣嗎?你們是個團體耶,是個機關耶要有所節制吧嚴厲的譴責他,我告訴你自己什麼身份啊
transcript.whisperx[165].start 5684.278
transcript.whisperx[165].end 5712.896
transcript.whisperx[165].text 那你甩鍋給立法院立法院有時候不跟你審查你們所有行政院送來的委員NC委員的名單我們要到單全收嗎什麼叫審查嘛那就不要審查了嘛是不是怎麼監察委員怎麼考試委員不要審查還行使什麼同意權啊你送來幾個我們到單全收嘛是這樣嗎我想王正佳委員應該有點學問嘛是不是也念過一些書吧不然怎麼可能提名他做委員
transcript.whisperx[166].start 5715.087
transcript.whisperx[166].end 5741.824
transcript.whisperx[166].text 這個分際應該很清楚嘛你怎麼可以講說個人的行為發言可以這樣嗎北一女中歐老師也是以個人的行為發言啊為什麼電視上每天在報他你們媒體有沒有報王振嘉委員多報啊每天報啊檢討吧怎麼可以這樣呢你這樣回答我們召委你可以這樣回答嗎個人的身份
transcript.whisperx[167].start 5742.998
transcript.whisperx[167].end 5771.175
transcript.whisperx[167].text 我請問將來你們還有個人的身分要發言了嗎你關在廁所裡面你關在家裡面去講嘛誰管你啊是不是你是公眾媒體的人物欸你還管這個媒體的你這個單位還監督媒體的單位你怎麼可以這樣講你在委員的名單趕快送來嘛剛才也有委員問到你們現在錢夠了嗎還是不夠好那你現在為什麼不解凍
transcript.whisperx[168].start 5772.655
transcript.whisperx[168].end 5798.901
transcript.whisperx[168].text 我們加緊作業加緊作業 錢夠嘛不是 錢還是不夠 如果扣除租金的話大概如果我們租金是在協商延後支付要不然如果是要付給他把扣留下來大概4月份就斷催了行政院有沒有叫你們不要解凍 有沒有沒有沒有我個人是沒有收到這個那有一位部長回答我們委員質詢的時候
transcript.whisperx[169].start 5801.069
transcript.whisperx[169].end 5828.516
transcript.whisperx[169].text 他說你們立法院要解凍我們哪一個項目請你把那個項目送來我們要送去給他他才來公函有這樣的怪事欸那你到處全省各地去先講說我們立法院不給你解凍不給你錢用那你不給你錢用你錢不夠你來申請解凍啊你解凍後要你解凍後什麼時候送來我請問我們盡快應該是盡快是多久
transcript.whisperx[170].start 5832.214
transcript.whisperx[170].end 5855.581
transcript.whisperx[170].text 應該是最近的時間內應該可以送出今天本席在這邊質詢你是你應該今天回去吧,明天後天就送來了吧還儘快,那可見你有壓力嘛你有上級的壓力嗎我告訴你啦你六月份送來,我們解凍案解凍你一半啦是不是這樣
transcript.whisperx[171].start 5857.301
transcript.whisperx[171].end 5885.351
transcript.whisperx[171].text 因為你已經過了半年了嘛,你日子過得好好的,還是有飯吃沒有餓死啊是不是,我們擔心你餓死,所以你撿的話趕快送來啊謝謝委員盡快是多久?你回答我應該是,因為相關還有主計的那邊作業啦什麼作業?主計,因為解凍室跟倉庫是我們的會計主任有沒有來?沒有,沒有今天沒有來我是搞主計的啊
transcript.whisperx[172].start 5886.414
transcript.whisperx[172].end 5912.639
transcript.whisperx[172].text 我是搞主計的啊你了解沒有我在主計處待過啊你這騙誰啊市長也好 機關首長也好 下令的話馬上解凍案弄出來我告訴你今天晚上日夜加班 明天早上就出來了啦你有壓力嘛 你坦白承認有沒有壓力你申請解凍有沒有壓力
transcript.whisperx[173].start 5914.079
transcript.whisperx[173].end 5928.355
transcript.whisperx[173].text 我是沒有收到這方面行政院叫不讓你們解凍嘛,你懂了沒有不讓你們解凍好造謠嘛,各部位錢都不夠嘛,連廁所衛生紙都沒有嘛是不是這樣不要這樣騙人家啦,不好啦盡快什麼時候
transcript.whisperx[174].start 5933.623
transcript.whisperx[174].end 5959.155
transcript.whisperx[174].text 應該是這一兩個禮拜有機會好 跟你兩個禮拜有機會喔 機會在你手上不是在我的手上還有機會不是我們主席體系那邊我還要去確認一下什麼主席 主席來了沒有 明天請他到我辦公室來我來好好質問他 他有什麼困難主席一定講說 主委叫我不要送 一定是這樣講的
transcript.whisperx[175].start 5960.543
transcript.whisperx[175].end 5986.862
transcript.whisperx[175].text 主委叫我不要送叫我不要加班,我想加班我這裡預算啦,各單位來申請錢我已經發不出去了主委叫我不要送,一定是這樣可以這樣搞嗎?不可以你不借題嘛,搞大罷免嘛你騙誰啊?騙鬼啊?王振嘉委員,我嚴厲的譴責他
transcript.whisperx[176].start 5989.315
transcript.whisperx[176].end 6016.406
transcript.whisperx[176].text 我希望你們NEC的委員,位高權重,部長級的不要隨便對外面亂放話立法院沒有虧待你們,你行政院趕快把委員的名單送來我們審查我們到底要知道他是誰啊像這一種委員,黃宗嘉這種委員你說他偏藍還偏綠還是中綠,還超然獨立,他絕對不獨立我告訴你
transcript.whisperx[177].start 6017.899
transcript.whisperx[177].end 6041.971
transcript.whisperx[177].text 這個委員絕對不獨立你將來叫他再送來好了如果以後有他的名單我告訴你,本人第一個表示反對我告訴你今天是審查國家通訊傳播委員會電信管理業務規章收費的標準等條文第二個是審查電信管理法第五條、第八條還有七十九條修正條文的草案
transcript.whisperx[178].start 6045.628
transcript.whisperx[178].end 6062.106
transcript.whisperx[178].text NCC發言人叫什麼黃文哲先生嘛有開了例行的記者會現前的法律是確定將收費750塊嘛是不是但回應民意咧
transcript.whisperx[179].start 6063.427
transcript.whisperx[179].end 6086.846
transcript.whisperx[179].text 回憶民意啊,因為民意有反彈了嘛所以暫緩進行750塊收費儀式問題是你前面已經收了一部分啊我沒有退費你收的部分是完全全部退費還是什麼?全退全退啊?是那你們講說未來的價格只會低不會高啊?是不是?我們會朝主流民意方向來檢討不過你們強調說
transcript.whisperx[180].start 6093.223
transcript.whisperx[180].end 6110.007
transcript.whisperx[180].text 收費的目的是為了要防堵代購業者大量的貸貨嘛是不是並沒有要針對一般自用的民眾進行收費但因為涉及到法律的問題如果不修改法令會請業務處召集實務界的專家學者
transcript.whisperx[181].start 6116.897
transcript.whisperx[181].end 6143.364
transcript.whisperx[181].text 如果要收費的話要透過委員會來討論嘛是不是這樣對就是要修改收費管理辦法必須要好我有幾個建議啦請妥適的研議收費標準跟對象不要增加老闆爺的負擔好不好是好沒問題第二個是盡速完成今年度已經徵收民眾的退費措施好不好你再趕快做好不好好沒問題我們在進行中第三個是針對僅具備藍芽功能的設備
transcript.whisperx[182].start 6145.182
transcript.whisperx[182].end 6168.821
transcript.whisperx[182].text 你要不要收費來進行檢討都一併納入藍芽屬於低功率,屬於自然的範圍內因為無人機這些射頻怎麼都會干擾嘛對不對是都會做干擾,這個沒問題吧我們都會,沒問題我們會納入一併考量好那麼另外台馬第二條第三條的海嵐已經修復完成了
transcript.whisperx[183].start 6169.986
transcript.whisperx[183].end 6198.227
transcript.whisperx[183].text 那麼雖然我上次質詢,因為中華電信出的錢嘛,跟速發部跟你們NCC是沒有關係的不過將來這已經是一個重要的基礎設施了所以速發部持續,我希望它能夠補助個1.5億或是2億好不好,如果有預算的話長遠福島速發部應該會審做另外那個第四條海岸現在什麼時候要完成
transcript.whisperx[184].start 6198.635
transcript.whisperx[184].end 6225.752
transcript.whisperx[184].text 預計明年六月明年六月?你們進度掌握了沒有?我們持續都有跟中華電信在聯繫,目前看起來應該是進度掌握當中目前進度可以?可以另外今天中華電信沒有派人來嗎?沒有列席?沒有沒有你告訴中華電信,我們在地的用人很重要你看最近他招考一批人,我不曉得中華電信會不會來了,不過請你轉告
transcript.whisperx[185].start 6229.264
transcript.whisperx[185].end 6254.012
transcript.whisperx[185].text 我們那裡缺一個人,他就招考一個招考一個,這個人在哪裡?在舉光好了,比如在舉光很偏遠的一個島錄取了,他不來不來,然後重新再來招攬人員那一考試又是兩三個月、三四個月那我們沒有人,因為那種小地方可能只有一個同仁或者兩個同仁
transcript.whisperx[186].start 6254.943
transcript.whisperx[186].end 6275.402
transcript.whisperx[186].text 那你的同仁沒有補的話,那要從馬祖這邊公司這邊派人去支援嘛,去支援的話相對影響到這邊的業務那我說招考的時候,我希望因為什麼?因為台灣的青年鄉親去考考了以後覺得太遠,他不想去啊
transcript.whisperx[187].start 6276.089
transcript.whisperx[187].end 6283.626
transcript.whisperx[187].text 那馬祖仁那就不會啦所以我希望就是說中華電信在地化的部分已經做得很好了
transcript.whisperx[188].start 6286.448
transcript.whisperx[188].end 6314.866
transcript.whisperx[188].text 那我希望呢,長此以往,希望繼續我們在地的青年優先能夠錄取好,我們一定轉達但是你不要錄取一個啊你起碼來個備取,備取弄個兩三個嘛你備取弄個兩三個的話,第一個不來的話,第二個可以補啊你就不用再考了嘛你一直考一直考是不是,人員一直沒辦法到期好不好,這一點很重要不用理我們一定轉達主委我憑良心講齁,你們預算被刪了一半
transcript.whisperx[189].start 6315.868
transcript.whisperx[189].end 6343.747
transcript.whisperx[189].text 你們自己要檢討,你們打仗是不是打得非常的好那麼多同仁在這邊我對NCC非常友善的在交通委員會裡面我對NCC是最友善的那主委你也到我那邊去過啦我也曉得你的意思我也很想幫你的忙我不只在黨團裡面幫你忙,我也希望跟民眾黨這邊、國城召委這邊,我也跟他們溝通所以你解凍案我們很善意的
transcript.whisperx[190].start 6344.847
transcript.whisperx[190].end 6373.558
transcript.whisperx[190].text 你錢不夠用趕快送來嘛你不是對外去放話啊你人不夠你趕快把名單送來嘛你錢不夠趕快把解凍案送來嘛我們如果不同意你解凍,那是我們的問題嘛你怎麼可以把解凍當作刪除勒好不好我想你這解凍案盡快送來好不好,希望你兩個禮拜之內送來因為你不要把責任推給主計人員
transcript.whisperx[191].start 6374.491
transcript.whisperx[191].end 6394.843
transcript.whisperx[191].text 我自己本身是主計人員,我現在退休還可以領主計人員的退休分我還可以領,我服務公職40年40年我名義代表、縣長、立法委員這些除外,我自己本身有我有這個證照,有會計審計的證照的人所以你這一部分
transcript.whisperx[192].start 6396.189
transcript.whisperx[192].end 6422.635
transcript.whisperx[192].text 我希望這個主委還是加油了好不好好謝謝謝謝好謝謝我們陳雪生委員那現在請林郡縣委員執行好感謝主席本席邀請我們NCC代主委好陳代主委
transcript.whisperx[193].start 6429.13
transcript.whisperx[193].end 6442.797
transcript.whisperx[193].text 委員長主委長因為剛剛在講預算的問題喔主委你要講清楚啦你延期金沒有辦法運作不是凍結啦是刪除的問題啦對不對對 刪了你的業務費你的單位業務費7517萬你被刪除多少4000多萬嘛刪掉將近55%對不對你剩下3354萬啦
transcript.whisperx[194].start 6455.97
transcript.whisperx[194].end 6485.491
transcript.whisperx[194].text 你的房租一年要兩千五百六十二萬存三千三百五十萬啦儲水一天兩千五百六十萬啦你大概剩下八百萬啦你一個月的業務費大概要四百多萬啦所以NCC不是凍結的問題啦你趕快來 趕快送來解凍啦如果我們在野黨的委員要幫忙那很好啦但你凍結只有多少錢你只有凍結四百多萬嘛十趴而已嘛對 業務費凍結給你解凍你要多活一個月啦
transcript.whisperx[195].start 6486.701
transcript.whisperx[195].end 6510.126
transcript.whisperx[195].text 你現在4月你就沒錢了 對不對如果按照你目前可動資的預算對 如果房租你4月沒錢 好 趕快解凍啦 活到5月啦那6月 6月怎麼辦 6月以後咧還不是沒錢 重點在刪除50%啦哪一個單位可以讓你刪50%還能活的哪一個個人 你的家庭 你一半的收入給你砍掉你的生活不受影響的
transcript.whisperx[196].start 6511.158
transcript.whisperx[196].end 6537.1
transcript.whisperx[196].text 那就不可能嘛 你們要跟我清楚但是要解凍好趕快來解凍 多活一個月也好啦好像到五月 五月過後再想辦法你剛說你怎麼解決 請房東先不要再收房租喔延後租 延後收 你看所以我們立法院草野刪預算刪到房東要付出代價女兒拜託看看啦 女兒你們出頭要拜託一下
transcript.whisperx[197].start 6538.971
transcript.whisperx[197].end 6562.14
transcript.whisperx[197].text 好 我要回來講今天我們大家要關心的第一個就是7.5的問題嘛是這7.5現在我想NCC政策轉向很清楚你現在是不要收嘛對 現在是停徵狀態但目前是停徵狀態嘛不過因為你去年給他通過這個收費的辦法
transcript.whisperx[198].start 6564.824
transcript.whisperx[198].end 6587.733
transcript.whisperx[198].text 這是個行政命令嘛對 行政命令 法規命令也就是說如果依NCC自己公佈的行政命令 現在要收期150但是因為外界大家反對嘛所以NCC你現在是跟財政部談好了財政部有同意嘛對 用規範法的方式去停政就停政 目前是停政狀態嘛那你要把這個問題解決就是你要把你那個行政命令給拿掉
transcript.whisperx[199].start 6589.195
transcript.whisperx[199].end 6604.044
transcript.whisperx[199].text 對不對 要修改嘛對 把它修改那你就把它修改成不收這筆錢嘛對 如果不收的話就是要把原來收費這個項目要改掉你現在命令要改掉那你現在能不能改現在命令現在沒有辦法不能嘛 因為你沒有委員嘛
transcript.whisperx[200].start 6605.76
transcript.whisperx[200].end 6633.066
transcript.whisperx[200].text 那沒有委員的話我們只能先用停徵那我們希望未來的時間朝野能夠有一個共識希望能夠解決NCC目前沒有委員的這種狀態不管用什麼方式但是在新的NCC的委員產生以前在還沒有修改目前規定要收費的行政命令的狀態下我們只能持續不斷的停徵是不是這樣
transcript.whisperx[201].start 6635.405
transcript.whisperx[201].end 6652.6
transcript.whisperx[201].text 對 目前的情況是這樣這個大概是行政單位還有朝野的共識所以目前就繼續的停政一直到你把這個辦法修改完沒錯那修改之前的前提條件就是NCC要委員產生不過還有一個問題
transcript.whisperx[202].start 6654.721
transcript.whisperx[202].end 6676.39
transcript.whisperx[202].text 因為畢竟這個會產生費用啦因為我就看一下你這個二級電信管制設平器材的輸入案件越來越多啦因為現在網路大家都在忙碌買東西啦我看從兩年前的一年兩萬兩千九百多件現在到四萬件了啦那四萬個piece你一定需要一些
transcript.whisperx[203].start 6679.372
transcript.whisperx[203].end 6694.074
transcript.whisperx[203].text 行政支出嘛 你不要再去檢查 第二你現在又沒有業務費了 還要用抬一半而已第二 你如果不想讓人家收這筆錢 那你NCC如何來解決這些案量
transcript.whisperx[204].start 6696.737
transcript.whisperx[204].end 6712.912
transcript.whisperx[204].text 來我們這邊是加強用引入這個類AI的方式對你要用類AI啦為什麼我們要給他收750因為他目前的檢查其實比較落後啦你都要請人工啦我調查一下大概要請五個到六個你才能處理這麼多件
transcript.whisperx[205].start 6714.393
transcript.whisperx[205].end 6740.319
transcript.whisperx[205].text 這些人在幹嘛 只是在對照他的規格啦還有說明書啦 看有符合沒嘛還有確診書確診書啦 其實都需要用人的眼睛去對啦基本上等於是都靠人力勞力所以你才需要去給人家收集白虎嘛其實你只要提高力的那個效率啦你用導入AI 類AI的那個技術 你可以節省這些人力
transcript.whisperx[206].start 6741.797
transcript.whisperx[206].end 6770.012
transcript.whisperx[206].text 其實你就不用想這麼多這樣你必須要徹底解決辦法也請委員支持我們明年會編這個預算我們也會支持啦當然你謝謝委員那也希望也要跟那個我們再一黨立委溝通一下啦開始把你抬這樣喔你的單位根本沒辦法運作嘛什麼靠那個 靠人抬一半我都不想讓你那你五月以後怎麼辦啦好 再來另外今天大家討論的另外一點喔
transcript.whisperx[207].start 6771.974
transcript.whisperx[207].end 6783.103
transcript.whisperx[207].text 就是關於我們目前在網路上一些像那個SAP的問題
transcript.whisperx[208].start 6786.035
transcript.whisperx[208].end 6807.163
transcript.whisperx[208].text 就是如果我們政府已經把它給封鎖的網站那很多人會利用這些ISB或者是MVNO這些管制方法其實最主要就是你那個電信管理法修法你把它修掉二類電信都不用管制了你當時是因為說產業變化很快幹嘛但是後來確實產生一些問題了
transcript.whisperx[209].start 6812.096
transcript.whisperx[209].end 6821.221
transcript.whisperx[209].text 你現在二類電線的問題現在看起來國衛這邊是希望你們要趕快納管否則會有一些失控的狀態那你現在看法呢
transcript.whisperx[210].start 6823.912
transcript.whisperx[210].end 6851.468
transcript.whisperx[210].text 就是村局委員這張簡報所提示的MVM這塊我們目前在執法納管那如果母法也拉上母法裡頭明文列在那邊我們是尊重也支持啦那ISB我們內部討論本來也本來就是有在支持但是現在要提出代表NCC的條文這邊現在是有困難就是委員會的關係但是我們目前的階段的內部幕僚作業都支持
transcript.whisperx[211].start 6853.304
transcript.whisperx[211].end 6872.686
transcript.whisperx[211].text 對 那其實應該要有ECC的版本啦因為今天都是立委的版本嘛我也有連署本黨宗教兵委員的版本就是我們要管制二類電信還有ISB嘛那至於要怎麼管我想你行政單位你應該負責任的話 你應該也提出你的版本來啦
transcript.whisperx[212].start 6873.639
transcript.whisperx[212].end 6897.982
transcript.whisperx[212].text 我們內部都有研議但是要提出代表機關出去的就是現在卡在這個一般的正常程序SOP必須要委員會一通過的目前是比較有這個方面的挑戰好另外你所謂的二類電信你現在目前呢就是你電信管理法修法又改為自願登記制嘛是不是這樣是
transcript.whisperx[213].start 6899.567
transcript.whisperx[213].end 6927.732
transcript.whisperx[213].text 那也跟委員報告原來的電信法下的二類電信它範圍很廣包括這邊所講的MVMISP還有包括其他的一些跟資訊服務很接近的一些服務那比方說是語音會議語言會議服務視訊會議服務這些都變成APP了所以那些納管會比較有困難也會影響這個ICT產業但是你所謂的志願登記制現在有幾家來登記
transcript.whisperx[214].start 6929.932
transcript.whisperx[214].end 6952.894
transcript.whisperx[214].text ISP的部分目前有六十五家登記有六十五家來登記是什麼沒有啦 六十幾家啦全部六十幾家 六十幾家都有來登記嗎他原來 但是有些是他結束營業不收但是電信房實際是有一百多家啦 現在是有六十幾家但是你知道有六十幾家嘛對
transcript.whisperx[215].start 6954.485
transcript.whisperx[215].end 6980.714
transcript.whisperx[215].text 那實際上他們目前是在沒有管制的狀態下嗎有一些黑數但是有來登記的是六十幾家沒有來登記的我們是有黑數的部分如果比照電信法實際當然會有一些落差但是有些是因為他經營不足所以你要登記大概六成五成嘛那其他的黑數怎麼辦所以你採用志願登記之後實際上看起來你沒有辦法落實你的管理
transcript.whisperx[216].start 6982.79
transcript.whisperx[216].end 7007.466
transcript.whisperx[216].text 那因為社會也發生很多的事件啊所以現在才希望啊在NCC在這方面的管制應該要重演啊對所以這塊我們也是支持ISAP要跟那個那如果行政單位跟內委這邊跟國會這邊大概都有共識的話那這個部分的話就是如何管的問題啊我想管制二類電線管制ISAP這個應該是大家有大家你們也都同意嗎
transcript.whisperx[217].start 7009.031
transcript.whisperx[217].end 7035.099
transcript.whisperx[217].text ISB是二類定性裡頭的一部分但是跟打炸相對比較有關聯這邊我們是支持好謝謝主委謝謝主席謝謝委員好謝謝我們寧靜縣委員特別跟大會報告也就是我們稍等一下到習滬葵委員執行完畢我們就休息十分鐘
transcript.whisperx[218].start 7037.281
transcript.whisperx[218].end 7047.057
transcript.whisperx[218].text 那現在請何欣淳委員執行好 謝謝 謝謝趙偉我們是請主委好 陳代主委
transcript.whisperx[219].start 7056.031
transcript.whisperx[219].end 7075.868
transcript.whisperx[219].text 主委好我今天也是在關心這個ISP的問題那個納管的問題那我針對這個中嘉賓委員的這個提案版本我自己本身有提出一個修正動議那本檔很多委員都有連署那等一下我們可以在討論的時候再好好的來討論但是呢首先我想為什麼我會針對這個ISP要納管
transcript.whisperx[220].start 7082.393
transcript.whisperx[220].end 7091.823
transcript.whisperx[220].text 因為創意私房這個案子我想引起軒然大波而且國民大家深惡痛絕覺得是罪無可赦所以我們很多的民間團體包括家長包括所有的國人都認為這個涉及到兒少性剝削的犯罪的網站
transcript.whisperx[221].start 7105.396
transcript.whisperx[221].end 7116.767
transcript.whisperx[221].text 應該立即要限制接取那上次我們在去年也有提出這個兒少性剝削防治條例的修正我自己也有提出修法的版本在提高這個刑期
transcript.whisperx[222].start 7118.348
transcript.whisperx[222].end 7140.186
transcript.whisperx[222].text 那我們呢除了在法的部分修法提高他的犯罪的這個刑期之外最重要的是當事情的發生之後被告發之後能不能在這個兒少的性影像的即時處理斷網限制接取這個是最重要最重要的喔那NCC在這個部分呢
transcript.whisperx[223].start 7141.837
transcript.whisperx[223].end 7163.483
transcript.whisperx[223].text 必須要主動而且要立即的有態度有立場而且呢能夠呢有方法來遏止來限制這些的所謂的惡意違法的網站那所以我只是請問一下陳代主委未來如果再發生類似像創意私房網站我們NCC第一時間可以直接封網嗎我為什麼會問這個問題
transcript.whisperx[224].start 7166.284
transcript.whisperx[224].end 7188.542
transcript.whisperx[224].text 是在於媒體也說了雖然這個創意私訪已經遭封網但是仍有漏洞可瀏覽這個漏洞其實就跟我們今天在談的ISP是有關係的我們在現行可以提供民眾上網服務的業者你們現在在電信管理法裡面第一類的電信三大電信業者是以及納管強制對不對對
transcript.whisperx[225].start 7191.324
transcript.whisperx[225].end 7209.015
transcript.whisperx[225].text 那第二類電信你剛剛回答其他委員像是我們平常有線電視公司在接一般我們個人家庭的一個用戶也好或者是HiNet或是SoNet等等這些所謂的這個網路的一個服務業者上網民眾上網服務的這個業者
transcript.whisperx[226].start 7212.037
transcript.whisperx[226].end 7234.758
transcript.whisperx[226].text 那我們聽剛剛主委說的 我們現在是要求他自律 然後主動來登記那你說去年有發函給所有的ISP業者 請他們加入自律平台那你剛剛回答 我如果聽得沒錯的話 你說有100多家裡面 現在有60幾家有加入 對不對
transcript.whisperx[227].start 7235.663
transcript.whisperx[227].end 7245.749
transcript.whisperx[227].text 有來登記的也有營業的都有加入DNSRPC有來登記的都有加入那沒來登記的就是黑數你剛剛講承認有黑數嗎
transcript.whisperx[228].start 7247.93
transcript.whisperx[228].end 7266.248
transcript.whisperx[228].text 黑數是指沒有來登記的對啊對啊對啊那所以我現在聽得很模糊從剛剛其他委員問你可不可以再給我精準的數字啊你說有來登記的到底有多少家那你認為的黑數沒來登記的到底有多少
transcript.whisperx[229].start 7269.05
transcript.whisperx[229].end 7292.019
transcript.whisperx[229].text 根據電信法轉軌過渡期間110年那時候有二類ISP有150幾家那到了現在114年有60多家所以這個過程裡頭大概落差了90家左右90家左右不代表他每一家現在都還在營業那你有沒有掌握
transcript.whisperx[230].start 7293.099
transcript.whisperx[230].end 7311.698
transcript.whisperx[230].text 不代表他現在正在營業那你有沒有掌握說在有落差的90幾家到底是哪幾家有在營業哪幾家沒有我們大家盤點了嗎我們大家只有掌握就是剛剛委員說的我們在去年發函給這些ISP業不管他有來登記沒來登記我們請他要加入DSRPG那時候我們有進一步的去過濾去
transcript.whisperx[231].start 7312.739
transcript.whisperx[231].end 7326.164
transcript.whisperx[231].text 如果你有掌握的話那為什麼你今天回答委員都是150多家60多家那到底如果你有盤點你有掌握的話你去年就發函了那到底是幾家
transcript.whisperx[232].start 7328.648
transcript.whisperx[232].end 7343.761
transcript.whisperx[232].text 因為沒有來登記的我無法掌控那就是黑數嘛所以你剛剛跟我說你要請他們來登記那你有掌握但是沒有來登記的你又沒有辦法盤點你沒有辦法盤查那到底有幾家是黑數我們是依據說他當年電信法實際有來登記我們一樣放在給他請他陳太祖偉是
transcript.whisperx[233].start 7347.887
transcript.whisperx[233].end 7373.256
transcript.whisperx[233].text 我是希望啦我們NCC應該主動主動主動我講三次因為很重要你可不可以主動的去盤點能夠有效的掌握到底有到目前為止有多少家那有多少家是有來登記的沒有登記的裡面有多少家是還在營業但是他卻沒有來登記為什麼
transcript.whisperx[234].start 7376.457
transcript.whisperx[234].end 7378.261
transcript.whisperx[234].text 那有多少家是已經沒有在營業了
transcript.whisperx[235].start 7380.051
transcript.whisperx[235].end 7406.057
transcript.whisperx[235].text 我為什麼需要你給我精準的掌握數字因為我們為什麼在這一次今天要談這個不管是兒少的保護或者是等一下我要講的防詐騙我們如果連基本的資料都沒有辦法掌握我們連這個所謂的漏洞或是黑素的業者都沒有辦法掌握那我們如何告訴國人說
transcript.whisperx[236].start 7407.657
transcript.whisperx[236].end 7430.712
transcript.whisperx[236].text 如果有事情發生我第一時間我就知道去哪裡封網抱歉跟委員報告剛剛同仁給我最新資料是有掌握的是有掌握的要講清楚啊總共216家已登記65家未登記150家還有一家是中華電信那他是綜合業務大概是這樣子對嘛那你自己聽看看你的數字跟剛剛
transcript.whisperx[237].start 7432.233
transcript.whisperx[237].end 7457.074
transcript.whisperx[237].text 跟林俊憲委員講的數字 你看落差有多大登記的部分是一樣的登記的部分是一樣 那沒有登記的部分就不一樣啊你講的很籠統啊那好 沒有登記的這150幾家 150家那你又要如何的去有效的掌握所以為什麼要提修法 你現在叫做自律啦自律就是沒有強制性啦沒有強制性你就是沒有辦法掌握啦
transcript.whisperx[238].start 7458.975
transcript.whisperx[238].end 7481.259
transcript.whisperx[238].text 這個我覺得你必須要在立場上跟大家講清楚啦不然國人會對我們NCC啊這個所謂的公權力啊是沒有信心的你知道嗎如果再發生類似的這樣子的一個創意私房的網站我們如何告訴國人說我NCC可以第一時間就直接掌握就直接封網因為你根本剛剛的回答告訴我們你沒有掌握嘛
transcript.whisperx[239].start 7487.173
transcript.whisperx[239].end 7516.693
transcript.whisperx[239].text 所以我要拜託主委我為什麼會談這件事情我一直在強調保障兒少的權益是全國人民的共識那NCC在兒少的傳播這個網路的一個權益的一個政策裡面你知道我現在google到的你們的網站上面所有兒少通訊傳播權益的政策白皮書還停留在2011年就是呢速發布還沒有成立的時候那當然你們在去年2024有提出一個初稿
transcript.whisperx[240].start 7517.733
transcript.whisperx[240].end 7543.683
transcript.whisperx[240].text 叫做網際網路傳播政策白皮書那三件事平台自律、部會協力、共識治理那在你們提出的這個政策白皮書的初稿裡面也有提到兒少關鍵字60次但是呢雖然你提了兒少提了60次但是我們還是看不出來到底我們在
transcript.whisperx[241].start 7544.724
transcript.whisperx[241].end 7551.453
transcript.whisperx[241].text 網路的這個相關的治理政策裡面為了守護保護兒少我們到底要怎麼做
transcript.whisperx[242].start 7554.96
transcript.whisperx[242].end 7580.6
transcript.whisperx[242].text 這塊剛剛委員所提到這個白皮書是有是兩個白皮書我們最新的是網際網路這一塊我們已經完成了那個專業諮詢那接下來要進行這公聽會那裡頭涉及到兒童的部分我們大概是大概是跟委員這邊所提示的一樣我們必須就是兩方面業者端平台端他的那個專業的培力包括還有民眾端素養的這邊的宣導教育這邊我們都是從這兩方面兩端來進行處理
transcript.whisperx[243].start 7582.25
transcript.whisperx[243].end 7609.663
transcript.whisperx[243].text 什麼時候可以訂稿你們的這個政策白皮書經過專家還要經過公聽會那什麼時候要開公聽會那公聽會開完之後呢大概什麼時候可以告訴我們這一個初稿是可以訂稿是你們的政策白皮書那你們在這個政策白皮書裡面到底可以告訴國人如何具體的在網路的相關的這個治理裡面你們是可以守護兒少的安全
transcript.whisperx[244].start 7610.276
transcript.whisperx[244].end 7628.07
transcript.whisperx[244].text 是的 因為公民會大概是4月份會辦理完成辦理完成之後 照過往這個更久以前這個100年這個兒少政策白皮書是要上委員會議那這邊我們會經過那個程序但是完成的初稿 上委員會之前初稿委員會寫一個報告給跟委員報告
transcript.whisperx[245].start 7631.041
transcript.whisperx[245].end 7654.468
transcript.whisperx[245].text 所以呢所以就是應該是公聽會完之後內部在現有的資議會議來收斂以後會有一個版本但是要真正比照以前那個兒少通訊傳播權益白皮書那個還要上委員會議所以你的意思是說最後的final的定稿的版本你現在可能還沒有辦法說一個時間出來是因為委員會還沒有辦法組成委員人數不夠是
transcript.whisperx[246].start 7656.007
transcript.whisperx[246].end 7677.046
transcript.whisperx[246].text 那要講清楚啊所以我們也呼籲大家或者是在野黨各黨派大家一起支持我們NCC的委員那委員人數能夠到達法定的一個這個名額的時候那都到位的時候那很多相關NCC的業務都能夠推動那包括這個我們強調的
transcript.whisperx[247].start 7679.868
transcript.whisperx[247].end 7704.855
transcript.whisperx[247].text 網際網路的傳播政策白皮書裡面到底對於兒少安全的保護的具體的一個方向跟措施跟建議我們才能夠有最後的一個定稿那也才能夠讓NCC在這個領域裡面趕快的往前推趕快的做讓國人能夠信任讓孩子的網路上的兒少的安全可以獲得保障不是嗎
transcript.whisperx[248].start 7705.695
transcript.whisperx[248].end 7732.982
transcript.whisperx[248].text 是是啊那請書面報告給我一份好不好好謝謝好謝謝委員好謝謝我們何新淳委員的執行現在請習富凱委員執行習富凱執行完畢我們就休息10分鐘謝謝召委有請我們陳代理主委好陳代理主委
transcript.whisperx[249].start 7739.953
transcript.whisperx[249].end 7758.77
transcript.whisperx[249].text 主委長我想剛剛有提到很多關於NCC業務的問題我想在處理業務之前NCC還是要先自救因為主委之前有提過我們目前的業務費預算今天是4月2號有可能這個月就要斷催了到底會不會斷催
transcript.whisperx[250].start 7760.216
transcript.whisperx[250].end 7769.997
transcript.whisperx[250].text 我們現在如果是把我們的土地租金扣掉的話4月份一定會斷槌那我們現在是跟地主來協商延後支付
transcript.whisperx[251].start 7771.101
transcript.whisperx[251].end 7799.25
transcript.whisperx[251].text 現在我們地主是郵政協會嗎?他們有同意嗎?還在協商當中因為他們也有他們的壓力他們必須要對他們的董監事負責聽說我們也有去詢問相關的單位有在做其他的一個考量我們有跟類似營建署說有沒有其他辦公地點可以供我們搬家他們盤點結果初步是說沒有
transcript.whisperx[252].start 7801.096
transcript.whisperx[252].end 7814.95
transcript.whisperx[252].text 你們現在連未來辦公室可能何去何從都不曉得以後怎麼辦業務就是原則上我們希望說跟地主協商跟運動協會協商然後先把眼前的難關渡過這樣
transcript.whisperx[253].start 7816.79
transcript.whisperx[253].end 7841.445
transcript.whisperx[253].text 主委我想那個NCC是我們國家很重要的一個機關那當然我們剛剛我們何偉銘在講這個你們目前委員的人數也不夠乾脆工作沒辦法那甚至預算也沒辦法解凍所以在這邊我們也要拜託拜託我們林國成召委這個預算趕快來解凍不然這個未來可能沒辦公室大家都要居家辦公不然這要怎麼辦對我目前
transcript.whisperx[254].start 7842.987
transcript.whisperx[254].end 7857.621
transcript.whisperx[254].text 漁務費部分凍結是一小部分主要是剩餘的數額不夠多的部分這個還是我們要持續來努力啦好主委那我想最近發生這個泰緬地震的時候有一個很嚴重的問題
transcript.whisperx[255].start 7858.562
transcript.whisperx[255].end 7880.82
transcript.whisperx[255].text 就是我們泰緬這邊的這個民眾有反映到泰國政府花了大錢建置的一個檢訊系統這個預警系統很重要但是並沒有發揮應有的一個作用那我想NCC是我們台灣這個主管防災警的一個訊息的一個主管機關那過去我們都會接到一些相關的一些資訊那這部分我們目前國內的運作機制有沒有問題
transcript.whisperx[256].start 7882.642
transcript.whisperx[256].end 7907.225
transcript.whisperx[256].text 我們因為台灣大概每年都會汛期或颱風期間都會有這些做壓力測試所以三大業者的網路的韌性大致都保持一定程度那他們主要的網路也包括交換中心包括河網那邊大概也列屬在關鍵基礎設施那這邊有數位部的協力也加強他的那個風險管控
transcript.whisperx[257].start 7907.805
transcript.whisperx[257].end 7918.436
transcript.whisperx[257].text 防護演練等等所以基本上是任性上應該我們都會持續精進目前大致都還符合一般民眾的期待
transcript.whisperx[258].start 7919.526
transcript.whisperx[258].end 7939.848
transcript.whisperx[258].text 主委我想比較應該因為我們是這個我們是地震這個頻率很高而且馬上這個七八月以後就是颱風季節那所以因為我們目前來講我們地震還有包含颱風這些相關的防汛的一個訊息多久可以傳到這個民眾的手機裡面有沒有一個SOP的一個機制
transcript.whisperx[259].start 7941.229
transcript.whisperx[259].end 7956.214
transcript.whisperx[259].text PWS這塊災防告解那一塊如果是國家級的話要看他所在區域那如果一般通信他是電磁波發射那都很快像上次地震大概幾乎是零時差的就傳到該收到PWS檢訊的
transcript.whisperx[260].start 7959.815
transcript.whisperx[260].end 7986.087
transcript.whisperx[260].text 的民眾的手上基本上這些都是他因為哪些區域要發布是那個相對的那個頭端那邊的相關機關去負責的比方說地震或者颱風那是氣象署他會把需求提供給這個相關的單位我們NCC這邊負責是傳輸從CBC傳到民眾的手機端這邊但是我們還是要掌握啦是是
transcript.whisperx[261].start 7986.946
transcript.whisperx[261].end 8009.914
transcript.whisperx[261].text 那我還是要提醒主委去年我們0403地震的時候總共有172個基地台受到影響那因為基地台如果受到影響也沒辦法發送簡訊這是一個很嚴重的問題那針對這樣一個狀況NCC是不是有做一個基地台的一個演練甚至一個備援電力的一個機制甚至搶修能力的一個處理是不是有做這樣一個規劃
transcript.whisperx[262].start 8011.359
transcript.whisperx[262].end 8034.776
transcript.whisperx[262].text 都有 比方說重要的偏鄉或哪些重要據點我們大概都會要求高抗災或者說相對它必須要一個儲電設備起碼72小時這種備用電源用有機的方式當作它發電設備提供它電源這一塊都有歷年下來都有持續在要求精進主委那平常我們大概幾個月會去做這樣一個警示
transcript.whisperx[263].start 8036.927
transcript.whisperx[263].end 8065.147
transcript.whisperx[263].text 至於演練的話PWS演練會有定期有些是包括整個系統備援南端北端這些的備援都有演練其他的local地區的測試有時看地方政府的需要我們都每季之類的都會有定期在演練這個我們還是要拜託主委這個督促我們相關的單位我們針對這個國家通訊建設部分一定還是要落實不能這個有發生一個意外的狀況
transcript.whisperx[264].start 8066.033
transcript.whisperx[264].end 8080.781
transcript.whisperx[264].text 是我們都會要求業者每年都要辦理演練好所以那我想有一個比較政治性的問題就是最近針對這個政論節目檢舉的案件去年一整年總共發生了大概1000多件的一個檢舉案件其中
transcript.whisperx[265].start 8081.621
transcript.whisperx[265].end 8109.8
transcript.whisperx[265].text 去年的第四季我們NCC收到的檢舉數量將近六百件進一步來分析齁其中有三百五十四件是屬於政論性的談話節目那其中第一名是三百零八件就是年代新聞的雅琴看世界那這個部分我想這個雅琴看世界也被我們在野黨的委員提出來要求她要關台齁那這個部分主委怎麼看待這個事情
transcript.whisperx[266].start 8110.465
transcript.whisperx[266].end 8132.06
transcript.whisperx[266].text 我可不可以請我們處長來補充一下對那個300多件是針對同一集的節目那這同一集節目我們已經提節目諮詢會來討論了那討論之後我們要就是要準備要進我們的委員會做最後的決定那最後決定究竟會怎麼處理這會看我們最後委員會的決定
transcript.whisperx[267].start 8134.242
transcript.whisperx[267].end 8156.511
transcript.whisperx[267].text 主委處長我還是要提醒一下根據我們NCC接到的檢舉案件來看第一劑183件第二劑有362件第三劑276件到第四劑變成598件那有沒有人是刻意在惡意的檢舉這部分我們有沒有做怎樣的一個不成比例的一個分析
transcript.whisperx[268].start 8157.915
transcript.whisperx[268].end 8172.221
transcript.whisperx[268].text 有些是同個案件然後很多人好像報復性檢舉這邊有很多也是他本身權益的部分這邊類型上大概都會有一些整理我們不會
transcript.whisperx[269].start 8173.787
transcript.whisperx[269].end 8200.402
transcript.whisperx[269].text 究竟民眾他的動機是什麼我們不會去研析但是我們會就看他的申訴的內容去看是不是有涉及那他們目前申訴內容是不是大同小異這不一定這看還是要看情況但是剛剛有提到的就是某一個節目他確實在今年的第四年第四季他是三百多件好那因為現在我們ACC的委員不夠嘛那能不能開發
transcript.whisperx[270].start 8204.655
transcript.whisperx[270].end 8215.893
transcript.whisperx[270].text 因為要考量這個多元性還有過往的行政管理NCC這些行政管理會自我拘束以往這種涉及電視媒體的這些裁罰大概都要經過委員會議所以目前是沒辦法做了
transcript.whisperx[271].start 8216.536
transcript.whisperx[271].end 8232.973
transcript.whisperx[271].text 那我們是不是有把這個案件可以送到這個有我們專家學者公民團體跟我們相關的實務工作者組成的一個廣播電視節目的廣告諮詢會議來做審查有這個機制嗎?有,目前能走到最遠的距離就是走到這個諮詢會議目前
transcript.whisperx[272].start 8234.898
transcript.whisperx[272].end 8256.629
transcript.whisperx[272].text 那我們會公布最後的這個資訊結果嗎資訊結果是公務委員會的參考所以他是內部意見做成前的一些意見根據政府資訊公開法根據各自法根據行程序法這些都是屬於內部資訊不會對外公布這個還是要主委還是要妥善處理啦是那最後針對我想今天我們很多委員都提到針對這個去年引起爭議這個
transcript.whisperx[273].start 8258.03
transcript.whisperx[273].end 8276.19
transcript.whisperx[273].text 我們這個民眾從國外網站進口兩部以下自由手機或藍牙耳機這個被收750塊審查費的案子那我們後來局議是暫緩嗎對我們現在是停政狀態那我們會期待一年內停政期間來做好法規的修正主委有沒有信心這一年能不能把這個案子處理好
transcript.whisperx[274].start 8276.673
transcript.whisperx[274].end 8299.507
transcript.whisperx[274].text 那我們會朝著方向努力但是因為涉及到委員會來拍板那如果沒有的話我們會有想到說會請財政部來繼續再展現這個停政的期限這個還是會引起很多這個民眾的一個不好的一個印象主要是把它當做一件很重要的事情來做處理是好謝謝謝謝委員好謝謝習副委員好我們現在休息十分鐘
transcript.whisperx[275].start 8315.008
transcript.whisperx[275].end 8328.556
transcript.whisperx[275].text 是不是群打結束之後群打結束之後就說完畢 完畢 完畢人家也是人家也是人家也是平常他那個網案他都沒有發現在說他太簡單了
transcript.whisperx[276].start 8341.104
transcript.whisperx[276].end 8346.148
transcript.whisperx[276].text 挖掘層的存在是對的,那我來試試看吧,試試看吧,我來試試看吧,我來試試看吧
transcript.whisperx[277].start 8372.849
transcript.whisperx[277].end 8376.411
transcript.whisperx[277].text 謝謝大家
transcript.whisperx[278].start 8406.389
transcript.whisperx[278].end 8407.35
transcript.whisperx[278].text 嗯嗯
transcript.whisperx[279].start 8419.531
transcript.whisperx[279].end 8436.988
transcript.whisperx[279].text 響鐘
transcript.whisperx[280].start 8438.449
transcript.whisperx[280].end 8442.63
transcript.whisperx[280].text 這間餐廳的餐廳是一間餐廳的中間餐廳。
transcript.whisperx[281].start 8466.221
transcript.whisperx[281].end 8466.241
transcript.whisperx[281].text
transcript.whisperx[282].start 8493.52
transcript.whisperx[282].end 8493.82
transcript.whisperx[282].text 謝謝大家
transcript.whisperx[283].start 8522.879
transcript.whisperx[283].end 8524.222
transcript.whisperx[283].text 再給他穿多一點
transcript.whisperx[284].start 8537.202
transcript.whisperx[284].end 8538.083
transcript.whisperx[284].text 好嘞。
transcript.whisperx[285].start 8579.71
transcript.whisperx[285].end 8582.651
transcript.whisperx[285].text 那我
transcript.whisperx[286].start 8596.134
transcript.whisperx[286].end 8604.038
transcript.whisperx[286].text 這間餐廳的餐廳是一間餐廳的一間餐廳
transcript.whisperx[287].start 8625.128
transcript.whisperx[287].end 8625.949
transcript.whisperx[287].text 我沒有堅持,我只是...
transcript.whisperx[288].start 9928.049
transcript.whisperx[288].end 9952.575
transcript.whisperx[288].text 好各位請就座好各位請就座好現在我們請蔡七章副院長執行謝謝主席請陳代理主委好陳代理主委你好
transcript.whisperx[289].start 9954.316
transcript.whisperx[289].end 9970.305
transcript.whisperx[289].text 主委這個我想早上很多委員也都提了有關這個自用低功率射頻器材審查費那我想這個問題從我們這個第一次公告民眾反應很大
transcript.whisperx[290].start 9971.189
transcript.whisperx[290].end 9993.724
transcript.whisperx[290].text 那要收費的這個事情,我想NCC也都從善如流啦你們也發現這個不可以,這個民怨其實很多所以你們也決定在今天的這個送交立法院要審查的這個辦法當中啊你們也直接跟財政部溝通750塊就停政一年
transcript.whisperx[291].start 9995.225
transcript.whisperx[291].end 10022.96
transcript.whisperx[291].text 那其實大家的主張都一樣啦這不只應該停政一年啦這個應該就是不要收費了啦那所以呢這個我們有提了一個案子嘛除了這個這一件事情除了這一個所謂這個750塊的收費這個之外其他的大家意見並不大所以這一個在被查上面我們就不能因為意見我們你也同意我們嘛但是因為公告當時就是已經750了
transcript.whisperx[292].start 10024.341
transcript.whisperx[292].end 10048.121
transcript.whisperx[292].text 所以呢這個這一點這一個就你們回去修改啦那也給你們一段時間去把它調整去把這一條這個收費表格當中的這一項把它做一個修正其他的我想大家意見並不大大家都很有共識那這個是第一個主委你的看法怎麼樣謝謝委員這個方向是我們會遵照的方向來處理
transcript.whisperx[293].start 10050.202
transcript.whisperx[293].end 10074.439
transcript.whisperx[293].text 好那另外今天其他的這個法令包括主要都集中在電信管理法的這個修法那電信管理法修法我想背後其實的重點他還是放在這個詐騙的房子主委你同意嗎 同意好那你要不要簡單跟本席說明一下對於今天的修法從第五條
transcript.whisperx[294].start 10076.028
transcript.whisperx[294].end 10089.313
transcript.whisperx[294].text 第五條第八條之一第七十九條第七十五條第四十條這些相關條文你總結來看這些修法對於打炸的房子在NCC的態度是怎麼樣
transcript.whisperx[295].start 10090.461
transcript.whisperx[295].end 10113.75
transcript.whisperx[295].text 是謝謝委員那這次五個提案裡頭規納起來有幾個重點第一個涉及打造的KYC的這一部分因為在打造條例裡頭已經有規定了那也可能是因為提案之初是在打造條例公布之前所提的那這一塊因為已經在打造條例裡頭有規範而且我們自己的執法電信事業用戶號碼
transcript.whisperx[296].start 10114.99
transcript.whisperx[296].end 10134.821
transcript.whisperx[296].text 管理辦法裡頭也有規範所以這一塊我們是建議說要求業者KYC這一塊是建議說可以不用再增列重複的不用再改啦就已經原來其他法規裡面已經有規範了有處理了那等於是重複修正嘛所以你的意思說第一個重複的不要啦
transcript.whisperx[297].start 10135.842
transcript.whisperx[297].end 10162.917
transcript.whisperx[297].text 那另外沒有漏接企業部分,比方說通保法那邊那因為也是通保法去年七月底公布修正公布之後那一塊的提案的要求部分其實在通保法裡頭都已經律定了那一塊也是可以不用重複在電信管理法裡頭來規定這是第二個沒有漏接企業部分那也是建議那一塊就不用再修了不用再增修好,那其他的部分呢
transcript.whisperx[298].start 10163.53
transcript.whisperx[298].end 10182.731
transcript.whisperx[298].text 其他的部分大概是圍繞比方說IASP跟IASP其實是連帶講DSRPG其實要處理DSRPG其實就處理IASP就可以了IASP我們的立場在報告裡頭也有呈現我們是持正面支持的
transcript.whisperx[299].start 10183.211
transcript.whisperx[299].end 10209.072
transcript.whisperx[299].text 那另外這個號碼比方說MVMO批發轉售這一塊我們現在是規定在執法裡頭那委員提案是說把拉到母法拉到法律的位階這個我們也贊同這兩塊我們也贊同但是IASP那一塊因為它的月子規模動態範圍太大了我們會建議說需要有相關的一個層級化的義務的一些方式來納管
transcript.whisperx[300].start 10210.553
transcript.whisperx[300].end 10233.289
transcript.whisperx[300].text 會比較適切那大概我們目前的初步立場是這樣子基本上就是注意ISP應該是對應打造甚至於說打造以外的議題比方說關切的像一些涉及到衛福部的相關的一些不當的影像的那些散布那些都會有一些效果那這邊我們也是支持好
transcript.whisperx[301].start 10234.575
transcript.whisperx[301].end 10255.134
transcript.whisperx[301].text 這個我想我剛剛聽完主委講的話,基本上我都同意啦第一個部分我想我在這個台上,今天抒發部也在啦這個本席認為我已經多次給抒發部很大的壓力甚至我也跟部長講,你抒發部的保證,那位要借的股,只有一個人最重要的工作,就是打賬
transcript.whisperx[302].start 10256.383
transcript.whisperx[302].end 10277.812
transcript.whisperx[302].text 所以一樣的道理我今天啦雖然這個今天書法部也是列席啦但主角在你嘛因為電信管理這個法規在NCC的身上本席立場還是一致啦有關打詐的哪怕打詐的訂了這個法規效果只有一點點哪怕只有一點點本席都支持
transcript.whisperx[303].start 10278.902
transcript.whisperx[303].end 10306.33
transcript.whisperx[303].text 就我們就能夠快步前進的用跑的我們就用跑的但跑不了用走的我們也要用爬的都給他爬到打炸的那個山頭去啦這是本席今天的這個很重要的立場那我也同意法令有規定像通報法等等法規已經修過有規定的如果不重複的原則這個我原則上接受但是譬如說對於這個ISP業者的問題
transcript.whisperx[304].start 10307.709
transcript.whisperx[304].end 10332.279
transcript.whisperx[304].text 我知道主委的意思是這個事情要有一些協定要有一些找大家來訂定怎麼去處理效果會最好啦對 要細緻化的一些處理對 這我同意啦但是我的意思就是說打炸的法規就是對於這個電信管理法裡面今天的修法裡面這個我們有幾個委員同仁也提了版本
transcript.whisperx[305].start 10333.343
transcript.whisperx[305].end 10357.76
transcript.whisperx[305].text 也提了這個修正動議啦 修正現在的這個版本有修正那本席還是認為打詐這個不能手軟 該過的就讓他過該通過就讓他 但是要怎麼通過是最有效這個是可能本席跟其他政黨的委員或許意見不完全一致但是我想大家希望去做好打詐這個工作 目標是很清楚的
transcript.whisperx[306].start 10358.479
transcript.whisperx[306].end 10383.908
transcript.whisperx[306].text 所以有一些版本我同意有一些是可以不用修是因為別的地方已經有了你重複修一次也沒什麼意義第二個部分效果有限我們怎麼讓它效果提升那這可能委員的意見會不一樣那所以我們也有我們也共同提了一個版本希望待會在如果要進行這個條文的討論的時候我們會把我們的修正條文再做一個說明那總而言之就是
transcript.whisperx[307].start 10385.689
transcript.whisperx[307].end 10410.07
transcript.whisperx[307].text 那個NCC也好 抒發部也好 法務部也好我想我們面對打詐的議題啊我們沒有任何妥協的空間啦我們一定要全力去做這個是老百姓心中最care 最關心 也最痛的部分所以我們一起努力啦好 謝謝 謝委員謝謝好 謝謝我們蔡其昌副院長接下來我們陳樹葉委員執行
transcript.whisperx[308].start 10421.18
transcript.whisperx[308].end 10428.966
transcript.whisperx[308].text 謝謝主席 請主席邀請抒發部林次長還有NCC代理主好 抒發部林次長還有我們陳代主委
transcript.whisperx[309].start 10438.079
transcript.whisperx[309].end 10451.364
transcript.whisperx[309].text 林次長還有陳代理主委早安那今天委員會排審就是有關電信管理法修正草案的一個詢問跟處理那我想應該就是很多委員都是在關心就是說
transcript.whisperx[310].start 10452.744
transcript.whisperx[310].end 10481.576
transcript.whisperx[310].text 針對目前就是社會這個民眾期待的就是有關打詐或者是說一些就是暗黑的這個網站怎樣去防堵這個部分大家都非常的一個關注那可能就是目前法令還有未就是沒有完善的一個地方那就像舉這個創意私房這個案子來看就是說在去年被查獲之後那之後呢
transcript.whisperx[311].start 10482.236
transcript.whisperx[311].end 10498.816
transcript.whisperx[311].text 仍然应该当时我们这个数码部就有执行这个停止解析这样子的一个机制嘛可是事后还有这个受害者反映就是说被害人的家属有反映说这个性影像还是在流窜就是还是有人可以
transcript.whisperx[312].start 10499.216
transcript.whisperx[312].end 10528.166
transcript.whisperx[312].text 透過不曉得什麼方式可以去瀏覽所以這個就是一個很大的一個漏洞所以在這邊當時有這樣子的情形發生的時候我們也看到新聞報導就是我們速發部也有回應說會持續精進停止解析的一個機制那我想就是說從那個時候到現在也一年了那我想請問速發部就是說這個精進的部分你們有哪些措施那目前進度如何是不是可以簡單說明一下
transcript.whisperx[313].start 10528.752
transcript.whisperx[313].end 10551.945
transcript.whisperx[313].text OK 關於這部分像是那個創意私房這樣的網站那我們的做法就是主要是靠著那個所謂的DNS RPZ這個機制我們想辦法降低這些不良的網站的觸及率那其中一個很大的關鍵也是現在還有一些漏洞就是說有些ISP IASP業者他並沒有加入這個
transcript.whisperx[314].start 10553.726
transcript.whisperx[314].end 10571.893
transcript.whisperx[314].text 那個DNSRPZ的機制所以今天我們在這邊討論這個法案這個其實很大的一個目的就是想辦法讓這些原來沒有加入那個DNSRPZ的這些ISP業者看他能不能利用法律的方法或是其他的方法讓他們盡量加入這個
transcript.whisperx[315].start 10573.314
transcript.whisperx[315].end 10602.388
transcript.whisperx[315].text DNSRPG的機制那這個事情因為主責機關是NCC所以我們也是尊重說NCC的那個想法那是不是可以請那個NCC所以書法部的意思就是說這個還是就是要看NCC就對了就是主責單位相關的措施還是在NCC嘛總之IASB要納管這邊就是目前是這個責任是在NCC這邊我們立場是支持支持納管
transcript.whisperx[316].start 10602.915
transcript.whisperx[316].end 10631.045
transcript.whisperx[316].text 是 支持啦 所以針對這個問題我們去年本席跟中加病委員還有林月璇委員也有召開記者會就是說我們要阻絕詐騙還有就是阻絕這種兒少性剝削這種暗黑網站我們就是要求我們要納管IASP就是有關這個網路接取服務的提供者那這個部分我們就是要求管制那不曉得說目前的管制進度如何是不是可以請NCC說明一下
transcript.whisperx[317].start 10631.829
transcript.whisperx[317].end 10655.652
transcript.whisperx[317].text 是那跟委員報告那在有線電視它有經營這個快明上網都是ISP那一塊都已經有直接或間接加入DNS RPE何謂直接就是它的DNS它都直接加入TWNIC DNS RPG何謂間接它採用三大電信業者的DNS所以因為三大電信業者的DNS已經加入
transcript.whisperx[318].start 10656.874
transcript.whisperx[318].end 10665.25
transcript.whisperx[318].text 所以直接跟間接有問題是63家全部加入這是第一個報告第二個報告電信的部分三大電信都有加入那
transcript.whisperx[319].start 10666.474
transcript.whisperx[319].end 10686.542
transcript.whisperx[319].text 過往IASP二類電信的IASP裡頭有來登記的有營業的全部都加入那沒有來登記的我們去年有發函去行政指導他們請他們要加入那今天如果有立法有把他納管的話那後續的效果會更好另外跟委員補充那
transcript.whisperx[320].start 10687.242
transcript.whisperx[320].end 10709.797
transcript.whisperx[320].text 即便是那些目前沒有來登記目前沒有被納管的因為他很多的寬頻或者電路的採購都是跟三大電信那這邊我們也許可以在過多期間會要求三大電信業者說你跟他TA關係上你可以可以要求他盡可能是用他的DNS RPG這樣子間接也可以達到有加入DNS RPG的效果
transcript.whisperx[321].start 10710.342
transcript.whisperx[321].end 10719.45
transcript.whisperx[321].text 對所以目前針對這種ISP的管制我們是採取就是讓他們主動來登記嘛是不是沒有強制性嘛是不是
transcript.whisperx[322].start 10719.929
transcript.whisperx[322].end 10741.609
transcript.whisperx[322].text 法規上是沒有強制性因為雖然DNS RPG它效果不是100分但是說是大家都是盡量去努力因為很多技術上網際網路很多技術上不管是他直接打IP address或用境外的DNS都可以繞過但是這個我們能夠為多數的民眾來把關的我們都會盡量去努力
transcript.whisperx[323].start 10742.099
transcript.whisperx[323].end 10761.418
transcript.whisperx[323].text 是那如果說我們今天修法將這個就是ISP這個管制啊強制要求強制一定要的話有沒有困難這個部分把ISP熱納管的話我們會在他比較細緻的這個執法的規範裡頭我們可以來來努力看看來要求
transcript.whisperx[324].start 10761.929
transcript.whisperx[324].end 10779.045
transcript.whisperx[324].text 是就是因為我剛剛有聽到你回答那個我們蔡副院長的有一個重點你說要層級化的管理嘛是不是就是需要所以這個需要比較細緻的一個層級化細緻的管理所以它因為我們電信管理法有很多因為有些大業者
transcript.whisperx[325].start 10779.525
transcript.whisperx[325].end 10794.925
transcript.whisperx[325].text 準這個S&P準這個市場主導者他的義務非常多那這些我們都是比較但是大家共識是DSRPG如果是大家是一定要的話這邊應該是公版的公版的義務這邊應該到時候應該會很有機會變成是普遍要適用的
transcript.whisperx[326].start 10795.385
transcript.whisperx[326].end 10812.017
transcript.whisperx[326].text 是我想這個部分因為畢竟你們是主責機關而且你們也是專業的專家所以這個法要怎麼訂會比較完善我想就是也是要由你們自己在做會後或者是進一步的一個擬定這樣子
transcript.whisperx[327].start 10812.797
transcript.whisperx[327].end 10838.104
transcript.whisperx[327].text 好 一定的 我們可以協定一定會來辦我想這個也都是大家的一個共識就是說對於主角詐騙還有主角這種暗黑網站我想這都是大家的一個共識也是社會的一個期待好 那就是有關這個詐騙真的是目前社會大眾一個非常深惡痛絕的一個部分所以在上一次的會議裡面我有詢問
transcript.whisperx[328].start 10840.225
transcript.whisperx[328].end 10857.741
transcript.whisperx[328].text 這個陳代理主委有關這個就是簡訊的問題那當然我今天就是針對LINE的部分因為目前就是在這個發商業簡訊的部分我們NCC已經有比較精進的一個辦法就是白名單就是審核的一個機制那我們發現說
transcript.whisperx[329].start 10859.763
transcript.whisperx[329].end 10880.559
transcript.whisperx[329].text 經過這樣子的一個機制之後這些詐騙的簡訊它已經轉換成沒有連結網站的就是LINE的這樣子的一個形式所以這個部分我要請教林次長那這部分應該就是屬於我們速發部的業務嘛因為我們也看到目前LINE帳號被盜的通報數有增加了80%那這邊我們有沒有什麼可以因應的措施
transcript.whisperx[330].start 10881.159
transcript.whisperx[330].end 10908.062
transcript.whisperx[330].text OK 事實上最近我們才接到LINE的通知他們最近會改善他們救回帳號的機制就是有些民眾他的LINE帳號被盜就是帳號密碼被盜那他們最近應該是有做在我們的輔導與協助之下他們會有新的措施讓帳號被盜的民眾可以有更好的方法把它救回來那他們最近應該會做一個宣布
transcript.whisperx[331].start 10908.701
transcript.whisperx[331].end 10924.296
transcript.whisperx[331].text 他們會做一個宣布那目前的話我們就沒有比較可以就是比較有效的一個方法嗎就是要等LINE的一個回覆因為這個LINE比較特別就是說LINE跟那個Meta或者Google不一樣
transcript.whisperx[332].start 10925.017
transcript.whisperx[332].end 10954.063
transcript.whisperx[332].text 因為Meta跟Google它基本上是公開的平台但是Line是那個通訊軟體那通訊軟體牽涉到就是說我們必須依照憲法規定我們必須保障那個通訊的秘密這個自由這是一個權利所以會有這個我們當然是對於詐騙深惡痛絕但是我們因為我們台灣是一個自由民主法治的國家所以對於這個Line那個私訊內容的這個地方我們比較難直接用政府的公權力去涉入
transcript.whisperx[333].start 10954.505
transcript.whisperx[333].end 10960.732
transcript.whisperx[333].text 所以這樣子就是會去拖延到比如說遭受到詐騙的或者是說賴帳號被盜的我們沒有辦法及時去處理
transcript.whisperx[334].start 10964.287
transcript.whisperx[334].end 10989.756
transcript.whisperx[334].text 我們會想盡各種方法處理那包含就是我們會希望透過民眾的自願的就是說讓他把一些那個訊息揭露出來讓LINE的那個公司他可以去幫他去檢查說是不是有詐騙的嫌疑但是這個從政府的角度來講我不能強迫民眾說你必須把你那個通訊的內容給LINE公司或者甚至於給政府來監看
transcript.whisperx[335].start 10990.976
transcript.whisperx[335].end 11010.971
transcript.whisperx[335].text 是好那我想就是說今天我們在討論相關的一個法案的一個修訂我們都是希望就是說讓我們的法令的一個規定就是更加的一個完善那我想這個部分也是需要我們各部會或者是我們許多的單位一起去集思廣益的一個部分好謝謝
transcript.whisperx[336].start 11012.373
transcript.whisperx[336].end 11015.339
transcript.whisperx[336].text 非常謝謝委員的支持謝謝陳樹業委員的執行現在我們請魯明哲委員執行
transcript.whisperx[337].start 11035.578
transcript.whisperx[337].end 11048.863
transcript.whisperx[337].text 好 謝謝主席 邀請我們NCC我們陳主委好 陳代主委來我看到那個數位部的林次長還有 問候而已 還有黃次長行事局的邱副局長我們今天來這邊好像都沒問到你們 先說聲對不起陳主委是
transcript.whisperx[338].start 11063.524
transcript.whisperx[338].end 11075.374
transcript.whisperx[338].text 首先要跟你請教一下所以我看到NCC大概這個壽命最短的一個政策一個政策五天嘛2月5號
transcript.whisperx[339].start 11077.026
transcript.whisperx[339].end 11101.201
transcript.whisperx[339].text 開始收費2月10號就投降就說暫停那這中間其實這個部分750塊目前是先暫緩一年然後有這個機會你上次有說明啦有這個機會把你們再兩年一次在修規定的過程中再把它修沒有現在是朝這個方向在努力是的好那我現在最主要是說這個
transcript.whisperx[340].start 11104.205
transcript.whisperx[340].end 11119.832
transcript.whisperx[340].text 發生這樣的一個最短壽命那個可以講我覺得民眾非常不喜歡那個政策我覺得一定會留下什麼樣東西讓我們所有人可以學習所以我今天在想你們這個整個審查的過程中包括從去年的6月27號
transcript.whisperx[341].start 11121.653
transcript.whisperx[341].end 11141.374
transcript.whisperx[341].text 有兩次的委員會決定了通過了收費的辦法然後呢9月5號也講說要跟大家說明一下說明一下9月5號在你們大禮堂也辦了這個收費標準的公開說明會就公開了公開說明會怕大家不知道
transcript.whisperx[342].start 11142.555
transcript.whisperx[342].end 11162.436
transcript.whisperx[342].text 然後10月30號接下來就確定了收費的一個標準2月5號開始收費當然這中間我們看到了都是你內部的一個行政的一個決定委員會的一個考量你們的一個決策當然法律有授權你們這個部分750塊是有沒有經過立法院
transcript.whisperx[343].start 11164.131
transcript.whisperx[343].end 11182.801
transcript.whisperx[343].text 你們自己的決定嗎跟委員報告先補充第一點就是對外諮詢意見的話在草案階段我們有對外諮詢意見這是第一點補充第二點補充在今年但是我們法規委員會通過之後我們還有兩次以上在那個會辦理
transcript.whisperx[344].start 11185.442
transcript.whisperx[344].end 11200.089
transcript.whisperx[344].text 進口器材的那個官網的首頁有在有在宣告有在公告讓人家知道好那回到剛才的第二個問題這個NAPL的討論其實之前這個在去年六月以來
transcript.whisperx[345].start 11201.409
transcript.whisperx[345].end 11215.858
transcript.whisperx[345].text 還有一些非正式的公開說明會比方說有一些報關行等等這些都有在持續在溝通但是自用部分在標準作業程序上在通過委員會議10月30號之前確實這邊是沒有意義的
transcript.whisperx[346].start 11216.658
transcript.whisperx[346].end 11233.973
transcript.whisperx[346].text 好 這個部分是你們自己一個行政的一個考量行政的裁量你們覺得一個需要你們行政機關法定的授權但是法定授權在你考量的時候我覺得應該要有更多徵詢到未來會被徵收到你的政策改變它會影響到的部分它需要參與這個意見的一個表達
transcript.whisperx[347].start 11236.235
transcript.whisperx[347].end 11258.003
transcript.whisperx[347].text 那這個部分也沒有經過立法院的審議那有跟我們立法院任何一個公聽會或者委員任何一個臨時提案有什麼關係嗎750塊有關係嗎有關係因為這個就是法規命令這個收購標準就是法規命令法規命令的SOP就是你在預告階段必須要灑出去給
transcript.whisperx[348].start 11258.903
transcript.whisperx[348].end 11284.997
transcript.whisperx[348].text 不特定的對象還有一些相關機關包括消息機構等等都會來諮詢意見所以那個階段剛剛跟委員報告我們那個階段其實大概都包括這個這次提案那個重開展平台都有在徵詢簡單來講我們很多委員都一樣就公告實施民運開始的時候我沒注意到這個問題那我們現在特別調你資料的時候看到你們辦一個這麼大一個9月5號9月5號
transcript.whisperx[349].start 11288.439
transcript.whisperx[349].end 11305.993
transcript.whisperx[349].text 你們辦一個非常盛大的一個公聽會叫說明會啦公開說明會我在講因為你們在整個修正這個規費部分當然可能有很多項其中有一項是個人自用的郵寄兩部以下的這個的部分可能只是其中之一嘛
transcript.whisperx[350].start 11306.733
transcript.whisperx[350].end 11331.863
transcript.whisperx[350].text 可是我不知道你們當時有沒有想到說它的影響後座力有多大後面的後座力感覺你們有沒有開始應變啊感覺讓我感覺其實你們剛開始想的好像沒有這麼嚴重那我也發覺你們當時想的我看到囉你們在公開說明會不是說光網路光隨便人都可以來喔你正式邀請了二十幾個單位
transcript.whisperx[351].start 11333.804
transcript.whisperx[351].end 11358.74
transcript.whisperx[351].text 從中華電信到相關的一個進口公司 銷售公司包括什麼香港商啊 什麼電訊公司啊所有的企業法案都邀了請問一下750塊個人的名聲 自己用的郵寄你當天安排誰去做這個正式會議的代表你有安排 你有邀請消極會嗎你安排這些公司 誰代表
transcript.whisperx[352].start 11359.864
transcript.whisperx[352].end 11380.451
transcript.whisperx[352].text 有沒有嘛 這個不要變啦 有 還是沒有是 跟委員報告這個因為個人自用是不特定的大眾我們在眾開獎平台也有同步在草案諮詢階段也有同步在眾開獎平台裡頭去公告眾開獎平台是個不特定對象就像後來人家在提案那個平台一樣
transcript.whisperx[353].start 11381.687
transcript.whisperx[353].end 11409.481
transcript.whisperx[353].text 所以那個是否不特定對象的那個平台我們都有在草案都有放在那邊去諮詢意見好 你在決策的時候在想的事情跟結果發生的事情顯然是差距非常大所以我們現在倒過來說以後不要再發生這樣的事情了啦像這樣的你會面臨很大的我跟你講金額可能是這些企業也許會變動的比較大但是以人數影響到的人
transcript.whisperx[354].start 11411.001
transcript.whisperx[354].end 11437.798
transcript.whisperx[354].text 絕對是個人的一個每天在現在郵購已經變成一種現在這個買東西的一個型態嘛所以我是倒過來說啦你當天連消極會或者包括這些不管是電玩代表或者常用這些個人的一個業者其實有一些代表我覺得我相信在第一階段就會反映意見給你我也希望你們能夠注意這個問題好不好好沒問題我們會具體支持教訓
transcript.whisperx[355].start 11438.658
transcript.whisperx[355].end 11465.967
transcript.whisperx[355].text 好 那我今天要問的第二個問題那沒辦法 時代在變這個近8年我們看到有限電視訂戶的一個變化從106年我們看到全國2100多萬戶哇 平均我們現在2300多萬人好像差不多2000多萬這樣的因為搞不好一戶有兩個甚至有公司的這個部分那一直到去年113年
transcript.whisperx[356].start 11467.802
transcript.whisperx[356].end 11488.273
transcript.whisperx[356].text 下降了16%訂戶逐年下降因為這是一個趨勢逐年下降已經變成一個趨勢因為甚至有限電視業者他自己也改變了他也變成透過網路了他也不是有限電視有些也走無限了那這樣的一個趨勢第一個對你的相關一些業務
transcript.whisperx[357].start 11489.654
transcript.whisperx[357].end 11517.145
transcript.whisperx[357].text 或者相關的服務未來想法你的政策我覺得這個趨勢是一個重要的一個點現在在逐年下降的過程中那我講其中一個點廣電基金是隨著用戶量當然乘以它的支費訂戶數乘以支費再乘以1%會變成全台灣注入你的我簡稱有間電視名字太長了我就以廣電基金來看
transcript.whisperx[358].start 11518.746
transcript.whisperx[358].end 11546.229
transcript.whisperx[358].text 因為這個趨勢你的廣電基金也從8年前的大概一年可以收3.6億到113年去年2.8億它的降幅啊事實上比戶數降的更多因為為什麼因為這幾年又在討論資費以前都可以收520現在事實上相關的訂戶他搞不好可以特選我只要看新聞台我只要看什麼所以搞不好有些300所以他的
transcript.whisperx[359].start 11547.69
transcript.whisperx[359].end 11565.698
transcript.whisperx[359].text 廣電基金大幅縮水這兩個趨勢最後我會讓你回答因為現在廣電基金的分配跟用途分配的用途地方政府我們當然滿關心這個問題地方政府占40%NCC流用30%
transcript.whisperx[360].start 11567.279
transcript.whisperx[360].end 11586.247
transcript.whisperx[360].text 捐贈給公司30%那這個部分因為每一個這個包括地方政府公司跟你的用途都不太一樣我們兩個不在那我就請教NCC因為在30%裡面你們具體的計畫是說你分到了這樣的一個廣電基金主要會針對於有線電視的發展災害復建計畫跟
transcript.whisperx[361].start 11591.169
transcript.whisperx[361].end 11611.247
transcript.whisperx[361].text 品質提升的整個的計畫像在這個未來持續的減少可能是一個不可逆的趨勢我想請教一下陳主委你對於這樣的一個趨勢所影響管電基金甚至未來適用的這三個單位你有什麼看法或者未來有什麼樣的建議
transcript.whisperx[362].start 11612.974
transcript.whisperx[362].end 11630.805
transcript.whisperx[362].text 各位報告目前的這個規定是在油管法45條它有一相關的規定即便是NCC流用30%裡頭它用的一些規定都有一些條件性質那至於長遠來看這一塊要怎麼處理我們大概有三個方向第一個就是利用這個有限的
transcript.whisperx[363].start 11631.705
transcript.whisperx[363].end 11649.485
transcript.whisperx[363].text 有限的油管基金然後請電信請這個有限電視業者要持續改善他的服務品質然後也鼓勵他他們是順應這時代的變化甚至於現在有些大部分的有限電視大型的MSO大概都有
transcript.whisperx[364].start 11650.126
transcript.whisperx[364].end 11667.465
transcript.whisperx[364].text 靠攏這個OTTV因為這些現象都是OTTV跟中端設備的一星期所以會有一些這種趨勢的變化那即便是國外有減線槽但是另外一個部分我們沒有比較比較一般人沒有在意是說他的快頻上網其實是在慢慢在環境交叉所以
transcript.whisperx[365].start 11668.426
transcript.whisperx[365].end 11684.791
transcript.whisperx[365].text 對有線電視部分而言我們這邊希望它能夠持續保住它的這個用戶的黏著度能夠保有競爭力那未來部分我們也鼓勵它順應時代潮流發展做多元地方文化等等的一些擴展
transcript.whisperx[366].start 11685.931
transcript.whisperx[366].end 11698.056
transcript.whisperx[366].text 那至於這個就電公司的部分那雖然廣電法也有一些規定說未來有空間做一些處理但是現在文化部公司那邊目前他覺得他還是有一些需要那這邊都暫時還是沒有辦法來處理以上補充
transcript.whisperx[367].start 11702.078
transcript.whisperx[367].end 11726.109
transcript.whisperx[367].text 好 陳志偉因為我今天質詢的時間已經到了今天這個第二題的一個最主要的一個用意這個已經不是未來的趨勢 是現在進行式啦現在進行式啦你肯定會有一些政策來去配合這方面的尤其有限電視它有些部分隨著用戶的下滑 它基金下滑但是你的有些服務的項目它不是變動的譬如說
transcript.whisperx[368].start 11728.611
transcript.whisperx[368].end 11746.048
transcript.whisperx[368].text 我這個線要拉這麼遠過去有一萬戶現在變五千戶不好意思線還是這麼長你必須拉到所以像災害的復建有些品質的提升發展其實你的用的金額是固定的所以我覺得你要先期預備這可能的一個變化
transcript.whisperx[369].start 11747.169
transcript.whisperx[369].end 11768.402
transcript.whisperx[369].text 這是我的一個最後的建議然後最後廣電基金因為基金還沒有審也沒有刪你不要回去跟我講說廣電基金已經被刪多少了因為還沒審那我們也希望這個部分我會來支持好 謝謝謝謝委員好 謝謝我們魯明哲委員現在請我們黃建豪委員執行
transcript.whisperx[370].start 11782.762
transcript.whisperx[370].end 11790.447
transcript.whisperx[370].text 好謝謝主席主席我們一樣請NCC代理主委這個陳主委好那個陳代主委
transcript.whisperx[371].start 11792.585
transcript.whisperx[371].end 11820.083
transcript.whisperx[371].text 主委好主委好我想今天第一個當然大家非常關心所謂750之亂的後續那當然過去NCC在10多年前都有規定說如果從海外輸入三部以上的電信管制射頻器材產品本來就要繳交這個審查費600塊的部分那當然兩部以下是以前是不用收費那當然去年今年有本來說要收費後來大家關心之後現在暫緩一年嘛那我想問一下這個暫緩一年是一年後來討論還是一年後會要收
transcript.whisperx[372].start 11820.916
transcript.whisperx[372].end 11838.322
transcript.whisperx[372].text 一年內來檢討來修改這個收費辦法好 因為我們這個很多法律剛剛前面委員都討論過然後我再問一個比較直觀的問題就是ACC在這個事件上的說明是因為是要維護這所謂國內的電波秩序那在這個問題上面大家就想要問一件事情
transcript.whisperx[373].start 11839.102
transcript.whisperx[373].end 11855.318
transcript.whisperx[373].text 民眾的直覺邏輯是說那如果三部以上要收費那兩部以下你現在講說自帶如果是自帶的話我從國外我不是去買我不是這個網購假設一樣都是從海外取得所謂的電波產品這些產品自己從國外帶回來跟這個網購帶回來
transcript.whisperx[374].start 11859.52
transcript.whisperx[374].end 11872.409
transcript.whisperx[374].text 為什麼自己帶的不用收網購的要收難道自己帶回來的就不會影響所謂的國內電波秩序嗎只有網購了才會影響國內電波秩序風險都存在我是不是請我們蔡處長來補充
transcript.whisperx[375].start 11874.5
transcript.whisperx[375].end 11893.431
transcript.whisperx[375].text 首先跟委員報告就是那個不管你是自帶或者是那個郵寄的其實他都會有可能風險產生干擾這個問題一定是存在的那後市場管理的部分我們就是去看如果有民眾來申訴他這個地方收到干擾的時候我們才去解決
transcript.whisperx[376].start 11894.051
transcript.whisperx[376].end 11922.899
transcript.whisperx[376].text 那前面那個自帶的那個網購那個網購的部位一般一般他都是新品進來嘛所以新品進來的時候他的那個在通關的過程當中他的時間會比較長所以比較有機會因為他要上網去填報這個那個那個切接書對切接書所以我們這邊就可以去幫忙事先的一些審核那攜帶式的我們當初為什麼用五件的方式是以現在的這個社會那個民眾他身上其實
transcript.whisperx[377].start 11923.579
transcript.whisperx[377].end 11938.801
transcript.whisperx[377].text 以前就只有手機大不了在一個notebook那現在以他的手機耳機什麼通通有所以他也有可能是在境內買好的完成合格的品所以他因為旅遊的關係而出入境所以他的件數會稍微多
transcript.whisperx[378].start 11939.261
transcript.whisperx[378].end 11961.712
transcript.whisperx[378].text 那到底是到建樹達到什麼程度他就會我們認為他不是自用或者是他是商業新聞過去的因為過去的這個規定就是一大舞台是雖然自用嘛沒關係我現在要問的問題是說因為我希望你們今年這一年要討論這件事情我們希望這個邏輯是一致的就是說我覺得很直觀的疑問是說如果今天我從國外帶一次舞台我自己帶進來
transcript.whisperx[379].start 11963.365
transcript.whisperx[379].end 11977.942
transcript.whisperx[379].text 是沒有收取所謂的審查費對不對但是我從國外我既然上網訂購任何國外的新品我反而要收審查費在本來的法律邏輯裡面長這樣子那我的意思是說
transcript.whisperx[380].start 11979.471
transcript.whisperx[380].end 11998.476
transcript.whisperx[380].text 因為你們的理由如果你們的理由是說是要為了維護國內的店舖秩序啦那這樣就很奇怪了我自己帶回來我自己出國帶回來你不用管嗎沒有還是要跟委員報告所有的產品進來我們都希望他是符合我們境內的我們國家的所謂規範上面的要求那他還是有可能是會干擾
transcript.whisperx[381].start 11998.996
transcript.whisperx[381].end 12023.334
transcript.whisperx[381].text 的確他是會干擾所以我們每年都會處理民眾他曾經的案件說他的電波干擾我們就會透過我們的電波監測站去測如果測得到那就好如果民眾的檢舉有更明確的位置的時候那我們都會出動那個行動監測車到護監區去處理我也跟委員補充報告舉個例子好了Wi-Fi國內跟國外有的開的頻段不一樣有些
transcript.whisperx[382].start 12024.255
transcript.whisperx[382].end 12049.167
transcript.whisperx[382].text 假設美國是開100個單位都這麼寬的頻寬國內可能只開70個單位那如果他吸進來那後面30個單位我們沒有開的他在使用的時候就會干擾國內那個30個單位的原有使用者那就是電波干擾主委這些技術問題的確你們之前都說明過我只是很疑惑我的點在於說自己帶5台不用收
transcript.whisperx[383].start 12051.961
transcript.whisperx[383].end 12055.984
transcript.whisperx[383].text 網購兩台反正就開始要收這件事情在民眾會覺得我們會覺得說
transcript.whisperx[384].start 12058.993
transcript.whisperx[384].end 12083.171
transcript.whisperx[384].text 這個邏輯不一致嘛 很奇怪嘛是 所以這一次這個這一次那個中開獎上面的這個名義所以我們就是決定是剛才主委有報告就是說我們兩台自用以下的我們也不會再收成身材好 沒關係反正今年你們要檢討這件事情我還是希望說第一個你們要去邀請真正的剛剛前面那個魯明哲委也提到了包含說消息會代表消費者權益的這一部分的
transcript.whisperx[385].start 12083.931
transcript.whisperx[385].end 12093.193
transcript.whisperx[385].text 的這個聲音要出來了不是就你們的意見了應該要有真正使用者的意見在裡面好不好好沒問題接下來討論一下這個大家看到我們今天有提案所謂修法部分
transcript.whisperx[386].start 12094.352
transcript.whisperx[386].end 12121.841
transcript.whisperx[386].text 可以看到這個所謂電信詐騙因為今天我想這個數位部跟法務部也都在不過我可能時間應該不太夠待會下午再出我們先討論這個就數字來看電信詐騙的部分從110年到現在的確是在攀升那去年有稍微下降一點那這個主因當然我不知道主因是什麼原因啦其中的原因當然是因為所謂的二類電信的氾濫二類電信過去在所謂電信法時代是有管制的嘛那現在
transcript.whisperx[387].start 12123.363
transcript.whisperx[387].end 12144.581
transcript.whisperx[387].text 進入了新的法令之後我們把它等於是要解封了那反而解封之後我覺得本來原因是為了鼓勵產業創新啊但是我覺得創新到現在變成它變成一個詐騙集團很好的一種工具那我要問的主委就是說過去既然能夠把這個惡劣經濟列管那為什麼現在新的法令反而不想管呢
transcript.whisperx[388].start 12146.006
transcript.whisperx[388].end 12162.075
transcript.whisperx[388].text 原因哪裡主要是幾個原因第一個是因為原來二類電信它的很多範圍是跟那個資訊服務業是灰色地帶有互相交融我舉個例子像我們疫情期間很多用的會議軟體在過去二類電信裡頭就有語音會議服務視訊會議服務這些在
transcript.whisperx[389].start 12168.078
transcript.whisperx[389].end 12187.507
transcript.whisperx[389].text 疫情期間其實很多是國外的APP如果那些都納管的話這些對應對照回來就會覺得是很難以不可行因為很多是APP而且是在網路層的東西而且很多是國外的東西這個管理上要認定要納管都有實質上的一些困難那另外也補充來點心補充好你先講
transcript.whisperx[390].start 12188.067
transcript.whisperx[390].end 12206.202
transcript.whisperx[390].text 就是說舊有的二類裡頭 二類範圍很廣舊有二類裡頭 包括MVMO 包括等等MVMO我們已經納管 已經回頭納管了那一塊是有在納管還有一些家職服務 他有來登記電信室的那些我們都有在納管當中那今天要討論說IAS並這一塊我們的內部討論意見也認為說贊成要再給他 回過頭來再給他納管
transcript.whisperx[391].start 12214.028
transcript.whisperx[391].end 12232.729
transcript.whisperx[391].text 好謝謝主委主委我想兩個部分第一個是說去年當然七月大家很努力通過所謂的詐欺犯罪違害防治條例的部分就所謂打砸條例嘛那裡面有提到這個所謂的電信業會納管的部分是被認定是電管法第三條我們第一項第一款指的電信事業
transcript.whisperx[392].start 12233.59
transcript.whisperx[392].end 12259.393
transcript.whisperx[392].text 那我今天提的修法版本裡面就是說到底有多少哪些屬於電信事業因為按照現行法令啊MVNO就所謂二類本來的二類電信你們上有列管可是你們納管是你們是請三大業者去做管理耶那我的意思是說為什麼這些所謂二類業者是不能由你們ACC直接管而且如果他沒有被列為所謂電信業者的話他是不是就不屬於這個打詐條例裡面定義的電信事業
transcript.whisperx[393].start 12261.015
transcript.whisperx[393].end 12287.457
transcript.whisperx[393].text 跟委員補充回報第一點那剛剛的那解讀是在我們去年電信號碼管理辦法那個發布之前確實是有些MVMO他不想來他沒有來登記然後他就變成三大業者的企業客戶那這一塊就會有剛剛的情況但是我們去年就已經在執法就已經納管了MVMO這一塊其實已經在納管當中那如果今天委員提案說要把他從執法拉到法律位階這邊我們也贊同
transcript.whisperx[394].start 12289.523
transcript.whisperx[394].end 12313.445
transcript.whisperx[394].text 贊同嗎 贊同好 主委那這樣的話我們就有共識了嘛那我希望這個稍後的討論能夠稍微加速一點因為我真的覺得說這個三大業者也有來討論也有陳情啦就是說今天過去是把MVNO這些所謂二類電信從電信法時代然後現在變成他們本來是去年變成是三大電信要管他們沒有實權他們沒辦法去真正的去管控這些人嘛
transcript.whisperx[395].start 12315.065
transcript.whisperx[395].end 12335.85
transcript.whisperx[395].text 這塊三大業者的疑慮說他怕長臂管理這塊其實我沒有跟他說明過我們最近一次3月20還找他我知道來主委這個我幫他們說明一下因為你是主管機關啊他要你們這樣說他就能這樣做啊所以今天為什麼會有這個修法原因也是因為三大電信也在實務上在執行面上他沒辦法去強迫對方當然最後是罰錢啦可以罰錢沒錯啦但是罰錢是
transcript.whisperx[396].start 12338.231
transcript.whisperx[396].end 12353.234
transcript.whisperx[396].text 他們對這些所謂的二類電信業者他們可能在商業上可以處罰但是政府目前是罰所謂三大電信業者那他們覺得說這個頻寬或這個訊號是由政府提供的然後他們變成代理人的問題
transcript.whisperx[397].start 12354.255
transcript.whisperx[397].end 12370.977
transcript.whisperx[397].text 那他們沒有實際的所謂的不管是行政權也好或者是這個行事權也好他們沒有辦法去要求或者是約束這些業者他們在轉賣出去之後後續不然說詐騙集團或是剛剛稍微也會提到的像黑妹卡等等這些境外業者他要怎麼使用
transcript.whisperx[398].start 12371.477
transcript.whisperx[398].end 12392.539
transcript.whisperx[398].text 所以我覺得這對三大電信業者來講它造成管理上的困難那其實今天我覺得修法核心的目的核心的精神是說把這個所謂的管理權一樣就收回NCC嘛你們本來就要管了只是說以前這段時間是把它委託給三大電信業者管那其實只是把真正的管理權收回政府部門我不知道這件事情NCC支不支持
transcript.whisperx[399].start 12394.52
transcript.whisperx[399].end 12421.953
transcript.whisperx[399].text 第七業者給我的意見應該是在那個MVMO納入執法之前的一些意見後來我們大概都處理之後我們也跟他溝通過其實這邊他們都有共識說只要他有登記定金事業那個責任義務權利義務都會在那個定金事業二類有被納管的二類到時候他登記定金事業他就會有這個義務在身上這部分是當然有共識的所以我們這邊也支持委員就MVMO拉到母法的位階這個我們是支持的
transcript.whisperx[400].start 12422.335
transcript.whisperx[400].end 12443.06
transcript.whisperx[400].text 那個登記不登記是強制的還是他們自主的如果把MVMO拿到母法說要的那都是變成強制的就是母法電信關於法有名列的那都是強制的好主委其實這是我的目的啦因為現在很多是沒有登記的嘛那沒有登記其實就他就不屬於剛剛我提到的所謂電信法犯罪那個什麼那個防打砸條例裡面電信法的這個範圍規範的範圍裡面我們希望這些
transcript.whisperx[401].start 12447.199
transcript.whisperx[401].end 12473.725
transcript.whisperx[401].text 在灰色地帶遊走的業者他們能夠被列入真正電信法能管制的範圍那這樣子對於所謂的打詐我才有辦法執行啊如果他不受這個打詐法規範的話其實我們今天討論的我們今天打詐法通過討論都是正派經營的業者他們有主動來申請他們主動來登記那當然沒有這個問題那今天問題就是說這些被動的還不想不想來登記的但是他同時他一樣可以使用這樣子的功能的業者我們反而管不到吧
transcript.whisperx[402].start 12475.572
transcript.whisperx[402].end 12497.45
transcript.whisperx[402].text 對 文聚的觀點我們是認同就是說 只要符合跟打造有意義打造的 該納管就納管但是也要注意說實務上的有沒有比例原則等等假設說它跟打造相對無關 比方說舊的二類很多在那邊計算更不可能使用的 從語音服務電話那些東西它更不會使用的 那些其實就沒有必要全部的電信服務都納管 都是我們的意見是這樣子
transcript.whisperx[403].start 12499.572
transcript.whisperx[403].end 12524.307
transcript.whisperx[403].text 這個事項我們可以來討論啦但是我希望這個原則上能夠往這方向走好不好主委謝謝謝謝黃建豪委員現在我們請李昆哲委員執行謝謝 召委請一下陳代理主委陳代理主委
transcript.whisperx[404].start 12530.221
transcript.whisperx[404].end 12547.548
transcript.whisperx[404].text 主委你好 有關於電信的簡訊詐騙造成國人重大的財產損失 也讓整個社會生物痛絕那在過去我多次的要求NCC必須要建立客戶確認的機制就是KYC的這樣的一個機制
transcript.whisperx[405].start 12551.349
transcript.whisperx[405].end 12567.404
transcript.whisperx[405].text 那我們看到KYC的這樣的一個機制的運作以去年2024年3月到12月期間已經有超過三萬五千次的門號因為他單日的簡訊發送量異常所以
transcript.whisperx[406].start 12568.632
transcript.whisperx[406].end 12584.778
transcript.whisperx[406].text 被KYC這個客戶確認機制關閉他的簡訊功能但是其中有一萬次的門號他經過重新的查驗後恢復這個有高達28%當然KYC這個客戶確認機制對詐騙集團的這種詐騙的簡訊他的這個有基本防範的一個功能但是
transcript.whisperx[407].start 12597.262
transcript.whisperx[407].end 12611.29
transcript.whisperx[407].text 有超過將近有三成的這樣的一個失誤率那是不是我們這個客戶確認機制的辨識能力啊還需要檢討來主委簡單說明一下好各位報告
transcript.whisperx[408].start 12612.691
transcript.whisperx[408].end 12633.024
transcript.whisperx[408].text 委員這邊秀出來的這張投影片應該是針對個人對個人我們術語叫做P2PP2P的這個簡訊這一塊因為P2P的簡訊基本上是受我們電信電信管理法裡頭包括就是秘密通訊的部分這邊我們比較不能去看他那種因為沒辦法看他那種比較沒辦法設定關鍵字去攔阻
transcript.whisperx[409].start 12633.624
transcript.whisperx[409].end 12654.91
transcript.whisperx[409].text 那我們就用行為管制方式模式來處理比方說剛剛提到的如果他一天超過30則我們就會發關懷簡訊告訴他說要注意或怎麼樣那如果超過50則那他就要回到電信業者那邊重新合資那這合資後就恢復就是他們的權利那如果高達28%
transcript.whisperx[410].start 12657.051
transcript.whisperx[410].end 12679.161
transcript.whisperx[410].text 不代表全部都是涉障因為有些比方說之前有人反映說他是個人他要辦理結婚他會發很多簡訊也會有相對這種問題這個相關的機制除了他的一個辨識能力的提升之外也關係到用戶的申訴或是相關的這種成本壓力的種種挑戰那
transcript.whisperx[411].start 12680.977
transcript.whisperx[411].end 12690.17
transcript.whisperx[411].text 顯示有近三成的這樣一個誤難其實我們也要去思考我們面對這種詐騙的手法它是很快速的演化
transcript.whisperx[412].start 12690.919
transcript.whisperx[412].end 12710.979
transcript.whisperx[412].text 那NCC應該要協助相關的電信業者我們接下來如果去提升這種風險的準確的辨識能力那我們是不是有結合跨業的資料或者是AI的風險模型以及來建立這種全國性的風險的用戶追蹤系統來說明一下
transcript.whisperx[413].start 12715.479
transcript.whisperx[413].end 12737.414
transcript.whisperx[413].text 號碼的部分號碼可以用通話也可以發簡訊號碼部分其實現在我們在打造條例裡頭其實已經有這個機制了簡單來講說如果他被165通報停話或斷話的話那他都是屬於風險比較高的那我們甚至也有這個打造條例的對應二十幾條那邊會有如果他累積三次三次不見得
transcript.whisperx[414].start 12738.214
transcript.whisperx[414].end 12753.17
transcript.whisperx[414].text 是同一家 他可能是中華 可能是台哥或遠專 只要累積三次 那他就構成這個未來三年他只能被拘束 只能擁有一支那一支如果他是現在公司就領有了 那他就不能再申請了所以就我們所謂的三正條款 這個機制有在進行
transcript.whisperx[415].start 12753.81
transcript.whisperx[415].end 12779.155
transcript.whisperx[415].text 那回到剛剛所講的KYC的部分簡訊的部分比較大宗的是商業簡訊商業簡訊這邊我們就可以引入這個商業機制的部分就可以事先去請這個業者來做查核他的內容不可以有網址不可以有電話不可以有短網址連結有的話必須要是有合過的變成白名單的才可以通過否則的話都會攔阻都不會
transcript.whisperx[416].start 12780.959
transcript.whisperx[416].end 12798.733
transcript.whisperx[416].text 主要我們必須更進一步的來探討相關的這種詐騙的門號它的攔阻跟相關的後續作為我們必須來討論一下它的成效我們看到2024年全年的電信業者它總共攔阻了798萬則的詐騙簡訊有922萬這種境外的詐騙來電
transcript.whisperx[417].start 12807.34
transcript.whisperx[417].end 12824.832
transcript.whisperx[417].text 並且停用了2395門的這種涉嫌詐騙的門號但是我必須要來討論我們是否這種技術的攔阻啊它的量有提高但是呢無法觸及這種詐騙行為的轉移就是說我們必須啊
transcript.whisperx[418].start 12829.582
transcript.whisperx[418].end 12835.287
transcript.whisperx[418].text 針對這種攬組的這種總數跟詐騙金額的變化以及產生這種詐騙的案件我們必須要去針對攬組的成效來進行這種交叉的比對分析
transcript.whisperx[419].start 12847.618
transcript.whisperx[419].end 12859.971
transcript.whisperx[419].text 是不是真的能說明啊男主越多詐騙越少但是看起來男主很多但是啊詐騙的這樣的一個狀況還是非常嚴重來主委說明一下好那簡單來講從結果來看因為
transcript.whisperx[420].start 12863.034
transcript.whisperx[420].end 12878.422
transcript.whisperx[420].text 傳統的可信賴的網路的國際來話我們該警示的警示該攔阻的攔阻所以那邊對詐騙警察員那條路已經幾乎是被擋擋得很嚴重所以他已經轉移了跟中文報告委員所提到一樣他轉移到其他路徑轉移到網路轉移到這個網路電話等等
transcript.whisperx[421].start 12880.183
transcript.whisperx[421].end 12901.412
transcript.whisperx[421].text 所以我們原來的防禦措施在在可信賴網路的國際電話也好國內不管是假冒國內的電話那一塊都持續來辦理那新的它轉移到政經那邊我們也加強我們的防禦那比方說網路電話這一塊我們也最近期也會推出一些措施包括攔阻包括一些語音警示等等
transcript.whisperx[422].start 12901.923
transcript.whisperx[422].end 12906.889
transcript.whisperx[422].text 好 主委我要請教一下我們現在有停用2395門的這種詐騙的電話來源那我們有沒有建立這種黑名單的追蹤機制 來說明一下
transcript.whisperx[423].start 12914.798
transcript.whisperx[423].end 12938.734
transcript.whisperx[423].text 詐騙電話剛剛跟委員報過在我們打造條例的三項條款裡頭其實都是有個165的那邊那個資料庫裡頭其實都有建立那各家電信業者還可以進去看說他申請的人他是不是涉障 是的話那他就是高風險客戶就會有一些管制他就這種高風險客戶他有沒有重複開戶的這樣的問題或是假人頭帳號來繼續作案的這樣的狀況我們NCC有查解這樣的情形嗎
transcript.whisperx[424].start 12943.337
transcript.whisperx[424].end 12958.842
transcript.whisperx[424].text 人頭部分是比較難查但是這個涉及到說這個他查的他要查破的技術相對比較高早期的話他可能是我們要求電信業者做好KYC比方說他帶著一堆人去門市去申辦那個
transcript.whisperx[425].start 12959.842
transcript.whisperx[425].end 12975.038
transcript.whisperx[425].text 業者的風控機制就可以過濾到處理的很多那現在他們慢慢也變得比較靈活那這一塊的KYC還是要持續但是說這個效果有在遞減但是我們會採用新的要求電信業者採用新的風控的方式來處理
transcript.whisperx[426].start 12976.646
transcript.whisperx[426].end 13002.286
transcript.whisperx[426].text 我們NCC針對這種KYC的客戶確認機制或是對相關的詐騙的電信簡訊雖然有初步的作為但是成效民眾還是很不滿我們還是有很大的這種檢討跟改進的空間最後的時間我要來請教第一級電信管制設平器材的這樣的一個使用那我們看NCC的說明
transcript.whisperx[427].start 13003.007
transcript.whisperx[427].end 13024.026
transcript.whisperx[427].text 本次新增的第一級電信管制設平器材使用計畫的相關的這個規定那它的原因是第一級的器材它的功率強大而且它的影響範圍非常的廣泛那管理器材必須要嚴格而明確那NCC是否有準備
transcript.whisperx[428].start 13025.41
transcript.whisperx[428].end 13047.107
transcript.whisperx[428].text 足夠的人力資源來因應可能增加的這種申訴或者是行政負荷來說明一下兩點回到第一點第一集的這個像這邊所顯示的最簡單就是像機場或者CIA所在地的一些防止無人機來入侵干擾的需要有電波遮斷器那一塊就是典型的地類
transcript.whisperx[429].start 13048.548
transcript.whisperx[429].end 13073.64
transcript.whisperx[429].text 電信管制生命器材第二個委員提到說我們自己同仁來審核的部分那因為量的增加從過往兩萬多變成一年四萬多那我們也提升規劃朝向類AI或者自動化方式來處理來減輕人力的負擔這塊我們打算編在明年的預算裡頭來處理那目前這樣可以因應相關的這種申訴或者是行政的負荷嗎
transcript.whisperx[430].start 13074.659
transcript.whisperx[430].end 13091.836
transcript.whisperx[430].text 就是勉勵前行我們會持續來來就做同仁辛苦一點那等到我們那個自動化的相對應的軟硬體到位之後可能情況會比較改善必須要加緊相關的作為了是是謝謝委員
transcript.whisperx[431].start 13104.153
transcript.whisperx[431].end 13132.621
transcript.whisperx[431].text 好謝謝我們李坤澤委員現在請邱若驊委員執行謝謝主席好主席有請陳代主委好陳代主委
transcript.whisperx[432].start 13138.236
transcript.whisperx[432].end 13151.993
transcript.whisperx[432].text 主委好 我們今天的會議主要是針對兩項議題進行討論嘛 一個是將干擾無人機訊號等相關設備納入第一設平器材的管理規範那再來是針對電信管理法的審查那本席今天就今天
transcript.whisperx[433].start 13152.794
transcript.whisperx[433].end 13169.194
transcript.whisperx[433].text 所列之審查一案就叫主委本期在去年的10月7日打詐專案報告中曾經就第二類電信業者是否應該由NCC直接管理提出質詢當時是溫柏中副主委備詢我們先來看到法務部的統計資料顯示
transcript.whisperx[434].start 13171.076
transcript.whisperx[434].end 13193.842
transcript.whisperx[434].text 雖然113年的詐騙案件數跟112年比起來略有下降可是還是高於111年的16801件這顯示出詐騙案根本沒有趨緩的還是不斷的在發生那今年的1月至2月全國地方的地檢署他新收到的電信詐騙案呢他的案件數則達到3075件
transcript.whisperx[435].start 13196.743
transcript.whisperx[435].end 13225.081
transcript.whisperx[435].text 根據打詐儀表板來看同期間的詐騙案件數為兩萬三千八百九十三件那詐騙的金額高達一百五十六億兩千七百三十五萬那不管是哪一個單位的數據來看很明顯詐騙依然橫行受害的人還是不斷增加那我們接著看到電信管理法在一百零八年六月二十六日的時候公佈了那當初立法的目的是在於接個原電信法的制度沒錯吧
transcript.whisperx[436].start 13226.025
transcript.whisperx[436].end 13240.344
transcript.whisperx[436].text 是部分接軌它但是也要創造一個讓業者有服務讓整個國家社會有服務創新的一些空間跟動能所以會解除相對跟資訊服務業比較接近那一塊的區塊我們就比較解除列管
transcript.whisperx[437].start 13241.186
transcript.whisperx[437].end 13258.566
transcript.whisperx[437].text 謝謝主委那當時也有要求單位要三年內完成轉軌那隨著轉軌完成那至此第二類的電信業者他不用再向NCC申請那他也不再受到NCC來監理而是改以公司法為主要規範那目前是在經濟部作為主管機關
transcript.whisperx[438].start 13260.268
transcript.whisperx[438].end 13287.195
transcript.whisperx[438].text 所以沒錯吧但是還是會有原來二類還是有持續來登記因為他有些他登記完之後對他的營業會比較有利比方說他要投地方政府的一些標案如果他來登記的話對他而言是一個加分的就目前的登記數是多少就有二類目前登記數是60幾家是60幾家那當時電管法上路108年7月的時候當時的全國第二類電信業者大概有幾家
transcript.whisperx[439].start 13288.072
transcript.whisperx[439].end 13303.219
transcript.whisperx[439].text 就有的是216家216家因為我這邊本席這邊看到是386家108年7月的統計那隨著專會完成目前這些業者他有沒有收到NCCC
transcript.whisperx[440].start 13303.739
transcript.whisperx[440].end 13332.12
transcript.whisperx[440].text 實質的監理跟我們報告我剛剛講是純粹IASP因為二類的範圍很大它裡都有IASP有MVMO也有其他價值服務之前是386家是所有的二類家種我剛剛因為你有提到IASP那本席今天要跟您討論的會是著重在MVMO那我們現在我們看到有386家那轉軌以後大多數他們都沒有登記也不受到實質的查核那這些業者是否現在還在提供VOIP還有簡訊SIM卡等服務
transcript.whisperx[441].start 13335.147
transcript.whisperx[441].end 13354.018
transcript.whisperx[441].text 這邊簡訊信卡的服務其實如果他是做MVML的話他可以兩種身份一個是他用MVMLMVML現在還是有一家業者那如果他是他不想用MVML身份那他就變成三大業者的企客那他現在很多他現在很多都是他目前是第二類電信業者那都有走在監理的邊緣您認為這樣的架構合理嗎
transcript.whisperx[442].start 13357.219
transcript.whisperx[442].end 13373.584
transcript.whisperx[442].text 就是我們在全能說維持社會公益公益打仗也是社會公益之一是我們要全能還有這個業者的創新發展我們在一直在動態的所以既然您提到打仗那電信轉軌制度已經上路那可是第二類的電信業者頻頻捲入詐騙案這是您清楚吧
transcript.whisperx[443].start 13375.014
transcript.whisperx[443].end 13397.565
transcript.whisperx[443].text 原來的這種情況我們知道我們現在看到前年的2月桃園地檢署查獲不效的第二類電信業者與詐騙集團合作都在發送了1193萬封的詐騙簡訊這個數量非常的驚人那不僅如此還有中華電信合作的第二類電信業者涉嫌將民眾的個資外洩以防治安危機那更嚴重的是呢前年4月爆發三家第二類
transcript.whisperx[444].start 13398.886
transcript.whisperx[444].end 13416.984
transcript.whisperx[444].text 的電信業社詐騙案那檢方也查出NCC的前委員也擔任其中一家的業者顧問並且透過他兒子的帳戶每個月收取1500到1600的酬勞那對於這樣的現象第二類電信業者他已經是打詐的破口之一了主委您怎麼看
transcript.whisperx[445].start 13418.773
transcript.whisperx[445].end 13438.951
transcript.whisperx[445].text 就是針對打架部分我們要針對說比較跟打架有關的我們都持續在努力我們去年就已經把他納管了那ISP這次的報告我們也提出我們的看法我們也認同說ISP要適度納管要適度納管那可是目前現在
transcript.whisperx[446].start 13441.101
transcript.whisperx[446].end 13468.496
transcript.whisperx[446].text 所以納管的 您納管的定義是你們有做出什麼樣的管理跟約束比方說FMMO它目前有來登記的在119年轉軌的中間它是7家那電管法施行之後它有7家只要它有來登記它就是電信事業電信事業就會要承擔電信管理法裡頭那去年事業開放電信事業任務號碼管理辦法那您目前掌握到的總共幾家
transcript.whisperx[447].start 13469.884
transcript.whisperx[447].end 13498.144
transcript.whisperx[447].text 如果MVM的話就7家就7家所以他不到10家那這項辦法他有沒有強制力呃有有他有什麼樣的強制力就是說他違反的話因為他是母法授權他違反的話一樣受到電信管理法母法的一些一些罰則注意請教第二類電信業是否一定要向NCC申請看他有沒有符合就我們現在第五條的規定說他要取得一些頻率資源那有申請的才會被NCC視為第二類電信業那沒有申請的叫做什麼
transcript.whisperx[448].start 13499.707
transcript.whisperx[448].end 13517.434
transcript.whisperx[448].text 我們是自願登記的自願登記那沒有申請的呢沒有申請的話廣義上他就是廣義的資訊服務業者沒有申請的是不是叫企業用戶他是不是以企業用戶的身份存在如果他是跟電信業三大合作的話他是他的企業客戶那是誰來做管理
transcript.whisperx[449].start 13518.47
transcript.whisperx[449].end 13538.103
transcript.whisperx[449].text 如果是契克的話那他跟三大之間是有契約關係靠契約關係來約束那目前是不是由第一類的電信業者來做管理MVMO那一塊目前因為他有來登記的話他就是要自己承擔責任義務他自己要承擔責任那請教主委這樣的制度第一類的電信業者有法律上的公權力嗎
transcript.whisperx[450].start 13541.183
transcript.whisperx[450].end 13559.471
transcript.whisperx[450].text 我知道委員要反映說業者反映說有什麼長臂管理這塊是沒有的我們跟他說過好幾次所以我們都知道第一類的電信業者他不具備法律上的公權力那這樣情況下第二類業者他真的會完全配合第一類業者的約束跟管理嗎
transcript.whisperx[451].start 13561.758
transcript.whisperx[451].end 13565.662
transcript.whisperx[451].text 如果您是第二類的電信業者,那當第一類的電信業者向您調閱客戶資料的話,你會不會提供?
transcript.whisperx[452].start 13582.472
transcript.whisperx[452].end 13605.871
transcript.whisperx[452].text 這一部分我們並沒有要求也不在規範你的要求我是說假使如果你是第二類電信業者你會把你的資料交給第一類嗎這一部分應該必須要符合法規法規上不允許的話我是如果是我我是不會你是不會啊那所以你怎麼會覺得那第二類的電信業者他會據實以告所以這一部分我們的執法委員並沒有要求要做這種事情
transcript.whisperx[453].start 13606.67
transcript.whisperx[453].end 13626.724
transcript.whisperx[453].text 所以我們都看到第一類的電信業者來管理來監督自己的潛在競爭者也就是第二類的電信業者你覺得這樣子合理嗎這是他們誤解啦其實他們有一個過例這是不是制度上面的一個漏洞
transcript.whisperx[454].start 13627.968
transcript.whisperx[454].end 13644.266
transcript.whisperx[454].text 我沒有跟他說明過關鍵的動作是檢視其實他只要做到一般的檢查義務我們不是要他做到高階的善良管理人的義務本席最後認為因為有鑑於現在第二類的信業者已經是詐騙案件
transcript.whisperx[455].start 13645.666
transcript.whisperx[455].end 13659.217
transcript.whisperx[455].text 裡面的破口那每次都是第二被查出都是第二類業者的關係那也希望NCC可以重視這個問題那提出具體的改善修法好沒問題我們會努力謝謝謝謝委員好謝謝邱樂華委員現在請廖先祥委員執行
transcript.whisperx[456].start 13683.988
transcript.whisperx[456].end 13688.075
transcript.whisperx[456].text 好 謝謝主席 也要麻煩我們這個陳代理主委好 陳代主委
transcript.whisperx[457].start 13693.581
transcript.whisperx[457].end 13717.225
transcript.whisperx[457].text 好 戴主委你好 這個昨天啊 這個又有這個相關的演習嘛 軍事的演習那兩岸不斷的衝突對抗當中 我想大家可能會比較擔心 會擔心一點就是如果說真的發生什麼事情衝突的時候那我們國內民眾 因為畢竟通訊是維持社會安定穩定人心非常重要的一個功能嘛
transcript.whisperx[458].start 13717.805
transcript.whisperx[458].end 13745.181
transcript.whisperx[458].text 那如果說兩岸發生衝突的時候我可以預想到可能會有兩個問題嘛第一個就是連外這個外國的網路可能會因此中斷只能可能用這個地軌衛星來做一些必要時的替代第二個是電力的問題因為像這個天然氣船也因為這樣子不敢來台灣就造成台灣電力的問題所以就這兩個部分我來跟助理做一個請教跟討論啦就是假設我們這個台海發生一些問題導致連外的
transcript.whisperx[459].start 13748.023
transcript.whisperx[459].end 13773.079
transcript.whisperx[459].text 電纜發生問題那我們目前使用的一些可能通訊軟體有哪一些他可能是沒有辦法用的簡單來講就是說如果那通訊軟體的他的server是在國外的假設對國外的通訊路徑上已經終止的話那大概是沒辦法用但是他目前業者的部件大概是多路由的都有備援基本上他的韌性會相對比較好
transcript.whisperx[460].start 13773.519
transcript.whisperx[460].end 13799.835
transcript.whisperx[460].text 那也有一些他S7是MIRROR的其實在國內境內都會有一些對應短期內衝擊還不大如果是真的對外完全斷網但是任性的部分部件包括衛星的海欄那邊只要維持住的話其實應該都不會不通就是假設連外的海欄都中斷的情況下那像我們一般的LINE剛剛主委有說如果說他在台灣有使用機房的話
transcript.whisperx[461].start 13801.296
transcript.whisperx[461].end 13824.867
transcript.whisperx[461].text 如果說通訊業者在我們國內有地方的話或許還是可以通訊的那以LINE來講因為LINE是我們台灣最廣泛使用的嘛或者是臉書的Message或者是可能WhatsApp這三家可能是大家最常用的啦那他哪一家他們三家在如果說真的連外網路斷掉的時候那哪一些可能是分別可以用的可能先讓大家民眾心裡有個底這樣子
transcript.whisperx[462].start 13825.883
transcript.whisperx[462].end 13841.297
transcript.whisperx[462].text 直接講結果講到機制如果海欄都斷了還有衛星那衛星的話因為頻寬有限所以大家要搶衛星對那一定是國家優先嘛對國家的訊息優先那這三家就是都斷了情況下這三家通訊軟體有辦法用嗎
transcript.whisperx[463].start 13843.09
transcript.whisperx[463].end 13866.089
transcript.whisperx[463].text 有沒有機房在我們國內國內自己的衛星應該會以這個公共利益的為主就是剛剛委員所講的可能也許是公家機關或者軍方或怎麼樣來為主國安單位為主那如果是國外的衛星但是我要跟主委確認啦就是這三家在我們國內目前是沒有部件機房的所以說聯外中斷的話我們是沒有辦法透過這些通訊軟體去做聯繫的嘛
transcript.whisperx[464].start 13868.928
transcript.whisperx[464].end 13885.472
transcript.whisperx[464].text 理論上是這樣子那有沒有哪一個軟體應該是我們可以推薦給大家是可以用的應該不存在這種我記得我們國家之前不是有推過一個也是通訊軟體嗎什麼挖的還在嗎JokerJoker還在嗎應該還在我想這個我們總是未雨綢繆啦
transcript.whisperx[465].start 13891.294
transcript.whisperx[465].end 13906.353
transcript.whisperx[465].text 那如果只在國內使用當然沒問題就沒問題嘛就另類的intranet一樣所以你們可能要去確認一下如果說真的當聯網網路斷掉的時候我們國內的民眾可能用哪樣子的一個通訊軟體他是有辦法維持我們聯繫功能的包括我們國家可能要發送訊息的時候也是相對
transcript.whisperx[466].start 13907.054
transcript.whisperx[466].end 13929.174
transcript.whisperx[466].text 我希望說我們來盤點一下那後續我們當然是會可能要積極的是不是來爭取這些國外我們大家使用的一個通訊軟體的業者我們在台灣也能夠有相對應的機房能夠維持通訊的一個順暢如果說沒有辦法連到他們的國外的機房的話我覺得這可能是我們必要後續要做的不知道主委認不認同認同
transcript.whisperx[467].start 13930.635
transcript.whisperx[467].end 13949.815
transcript.whisperx[467].text 認同嗎 好 那就麻煩我們的主委那第二個就是當然通訊是一個問題那第二個就是基地還需要電力嘛那電力通訊業者我們就是三大通訊業者佔我們台灣的總體電力的消耗率大概佔比1%而已其實沒有很高 大概1%
transcript.whisperx[468].start 13950.816
transcript.whisperx[468].end 13971.712
transcript.whisperx[468].text 那當然如果說台海發生一些狀況的時候一些天然氣船可能進不來但是我們國家對於天然氣的儲備的天數也是有限的嘛可能第一天沒問題第二天沒問題但是一旦發生這樣的情況政府一定會開始限電主委您瞭解就是我們基地台的一個限電的編組他是在哪一類嗎
transcript.whisperx[469].start 13973.62
transcript.whisperx[469].end 14002.163
transcript.whisperx[469].text 這部分我不清楚應該是台電他們的規劃但是跟委員補充報告兩點如果是短時間的市電市電就是台電供應的市電中斷的話其實我們在基地台那邊有要求業者要做好一些備援的台海被封鎖不可能是幾小時的事我知道你們基地台都有備援電源那這個就是法定有規定幾個小時但一定是我們一定是討論可能幾天幾週或是上月的一個時間所以你們並沒有跟台電了解你們我們的限電邊阻
transcript.whisperx[470].start 14003.505
transcript.whisperx[470].end 14015.062
transcript.whisperx[470].text 我不知道但是我可以確定一點是因為通訊這些都是關鍵都是CI我相信CI通訊的CI算是所有的東西的一個根本應該是優先訊號還蠻高的你後續就跟台電確認一下就是保障我們國內通訊的韌性
transcript.whisperx[471].start 14019.688
transcript.whisperx[471].end 14042.556
transcript.whisperx[471].text 光網路的部件不夠我們要有電基地還要能夠運作那通訊才會順暢嘛那就後續因為我知道台電有分就像之前台灣可能停電的時候都有分誰先停電誰先沒有停電嘛醫院不會停電嘛重要的國防設施不會停電嘛那我們通訊設備會不會被停電我想這是我們NCC可能後續要去了解的那或許是不是也是去爭取一下如果說它的限電編組
transcript.whisperx[472].start 14044.116
transcript.whisperx[472].end 14066.125
transcript.whisperx[472].text 使用電力的流線順序是比較後面的我們是不是要爭取在比較前面一點要確保電力通訊的安全好不好這一點沒問題我們會世界的轉達反應好那就是這兩點那主委這個今天你也站滿久了你休息一下好了謝謝委員謝謝委員那今天我看這個好像法務部次長有來我請教一下次長好了來黃次長黃次長
transcript.whisperx[473].start 14069.793
transcript.whisperx[473].end 14073.048
transcript.whisperx[473].text 因為都沒人去找我們 不好意思沒禮貌 我們的錯
transcript.whisperx[474].start 14077.653
transcript.whisperx[474].end 14105.12
transcript.whisperx[474].text 市長好不好意思今天您來了但我當然要問你跟這個可能今天的這個主題沒有關係但您來就問你法務部的事情因為今天早上有這個相關新聞你非常清楚就是共諜案那有可能被調查然後這個被這個交保的情況嘛那我想確認一下他被交保了嗎我們法務部後續會不會有抗告的行為啊就認為這個危害國家安全重大這個不可以放出來怎麼可以放出來這個案子你了解嗎
transcript.whisperx[475].start 14106.223
transcript.whisperx[475].end 14131.732
transcript.whisperx[475].text 不好意思因為我今天早上很早就過來這邊了那這個是我們檢查機關在辦理那法務部是做法務行政所以對於個案我們都尊重檢查機關的偵辦那是否有抗告我相信檢察官會以法審著作來處理因為我不是很確認今天早上的新聞這個交保是法院裁定的還是檢察官直接命交保的所以這個部分讓我們在我想站在國家安全的角度啦因為最近都有一些這個
transcript.whisperx[476].start 14134.163
transcript.whisperx[476].end 14154.063
transcript.whisperx[476].text 縮壓禁建的新聞嘛譬如違反各自法縮壓禁建就兩件了嘛對不對結果就很多的民眾在質疑怎麼違反國安法然後把機密資料外洩給可能總統所說的敵對私利結果居然交保出來了那大家會擔心你交保出來之後你家還有沒有什麼如果說你平常就有在洩密的一個的習慣的話
transcript.whisperx[477].start 14155.404
transcript.whisperx[477].end 14164.271
transcript.whisperx[477].text 那你家裡有沒有藏一些機密平常就把一些政府的一些公文重要的文書copy在家裡那你出來的時候你還是有些什麼的可能啊
transcript.whisperx[478].start 14165.097
transcript.whisperx[478].end 14188.029
transcript.whisperx[478].text 我想這一些都是相關的案情那具體個案的狀況都不一樣好不好 我就請我們的次長站在保護國家安全的情況下審慎的來檢視這個案件啦那檢視我們再提出抗告說要的必要以保障我們國家的機密的資訊有任何外洩的可能好 謝謝我們會回答相關的檢查單位 謝謝謝謝廖先祥委員
transcript.whisperx[479].start 14195.216
transcript.whisperx[479].end 14219.822
transcript.whisperx[479].text 那接下來由鍾嘉賓委員執行主席在場的委員先進列席的政府機關司法官員會長公眾夥伴媒體記者女士先生有請我們陳代理主委MCC還有蘇發部的林次長蘇衛部林次長
transcript.whisperx[480].start 14225.595
transcript.whisperx[480].end 14248.126
transcript.whisperx[480].text 主委好 次長好今天我們來談防制詐騙而少性剝削要有效那麼新型態的電信事業業者要納管好我們先看最近的新聞兩位知不知道這個京城資訊這是知府的龍頭出現資安就過去這兩天的大新聞有四萬家企業包括航空跟金融而這個企業這個京城是台灣大哥大
transcript.whisperx[481].start 14249.146
transcript.whisperx[481].end 14261.411
transcript.whisperx[481].text 他已經要跟他合作要瞄準中央部會還有醫療會那個醫療業那還有跟多家的第三方支付整合請問兩位你們是不是有掌握本案對於政府部門和關鍵機構設施的影響先請次長
transcript.whisperx[482].start 14264.552
transcript.whisperx[482].end 14291.258
transcript.whisperx[482].text 跟委員報告依照我們現在資安署所掌握到的訊息就是資安署主要是要保護政府機構以及關鍵基礎設施的資安目前我們政府跟關鍵基礎設施並沒有收到這一波的資安攻擊的影響這是第一部分我們掌握到第二部分就是說這次的資安攻擊應該是來自於一個駭客組織叫Crazy Hunter
transcript.whisperx[483].start 14291.718
transcript.whisperx[483].end 14319.298
transcript.whisperx[483].text Crazy Hunter就是之前攻擊我們兩家大型醫院的同一個駭客組織是然後他們的成員之中至少有一位是中國籍的事實上昨天刑事警察局已經起訴了一位在中國浙江的一位羅姓的工程師我們認為說好 政府就在嚴辦嘛是 但是他人可能就在中國好 那請問一下我們很擔心會不會後來出現暗網出現出售各自的情況
transcript.whisperx[484].start 14321.034
transcript.whisperx[484].end 14347.134
transcript.whisperx[484].text 這個目前我們並沒有掌握到這個訊息我們希望不要出現這種情況好來接下來來往下看所謂的電信事業用戶號碼的使用管理辦法這是在去年的4月通知團會就說了我們要訂出這個辦法那其中就要把所謂的虛擬行動網路服務就是剛剛很多委員關係的MVNO要納入責成電信事業要加強管理請問代理主委
transcript.whisperx[485].start 14348.191
transcript.whisperx[485].end 14369.162
transcript.whisperx[485].text 所謂的責成電信事業要加強管理是責成哪個電信事業一類的是不是這邊用語是一類沒錯是一類沒錯嘛好我們看一下根據這個你們就定根據了電管法的第69條你們定了一個管理辦法然後它的法則呢要回歸到電管法的83條沒錯吧是所以裁罰是裁罰一類業者吧
transcript.whisperx[486].start 14370.971
transcript.whisperx[486].end 14398.619
transcript.whisperx[486].text 如果他是他的企科但是如果他登記電視業就是採訪他MVMO業者我可以採訪到MVMO業者因為他登記電視業他如果登記的話好往下看好往下看那這次的修法呢我們是針對呢剛剛說的齁這裡面所提到的所謂的批發轉售啊你這裡呢不能夠再轉再做其他的批發轉售是不是這樣對他這是第一條那請問一下目前經營虛擬行動網路服務業者有沒有納入
transcript.whisperx[487].start 14399.554
transcript.whisperx[487].end 14418.645
transcript.whisperx[487].text 目前有居家有來登記好 那麼轉售跟使用智慧虛擬碼或者是物聯網號碼以外的用戶號碼有沒有納入這邊是在我們號碼權管理法裡有規範有規範 好那麼像所謂的黑美卡就是銷售境外事業所提供的語音及數據等公共服務的有沒有納入
transcript.whisperx[488].start 14419.858
transcript.whisperx[488].end 14431.156
transcript.whisperx[488].text 黑莓卡他是用國外的電話嘛他來國內只是漫遊那最快我們在打造條例的時候很好 你講到打造條例馬上看打造條例打造條例第14條他主要目的是
transcript.whisperx[489].start 14432.12
transcript.whisperx[489].end 14456.936
transcript.whisperx[489].text 預防阻止要做合理的對應措施對不對16條如果對於轉讓的話我們可以限制或停止這都指一類業者他有辦法這樣做第20條是指國際漫遊服務就剛剛講的黑莓卡那麼我們必須確認他們是出境或與其拘留如果有資料不實或異常使用剛剛提到了異常使用就會處理請問這幾條是否包含了這裡的電信是不是就是說從事的用戶號碼批發轉售服務的電信業者
transcript.whisperx[490].start 14460.575
transcript.whisperx[490].end 14489.478
transcript.whisperx[490].text 他來登記的話他就是適用就一類好那麼如果他違反了這樣的這個炸房條例那是不是就依法依炸房條例來罰還是依電管法來罰打掉條例本身他是有罰則應該就依好那我們再往下看好那現在呢你們現在的這個管理辦法訂的這個管理辦法呢第十條這個業者本身他要去做實地的仿事對不對你覺得一類業者有辦法對他的下手做實地仿事嗎
transcript.whisperx[491].start 14490.411
transcript.whisperx[491].end 14515.195
transcript.whisperx[491].text 這邊我有跟大家解釋過他是做那個一般性的書面就是相對於跟類似類似刑事檢查都是一般性的一般性的嘛對不對好既然是一般性的刑事檢查他有辦法去察覺或確認異常使用啊有沒有在做批發轉售啊有辦法察覺嗎那個在我們這個執法的立法說明有提到是技術可行的情況之下技術可行才可以那如果他沒有辦法做得到
transcript.whisperx[492].start 14516.741
transcript.whisperx[492].end 14544.373
transcript.whisperx[492].text 限制或終止合約他只能用限制跟終止合約嘛他沒有公權力嘛是不是這樣往下一個是所以目前你們的法律給要求的這個業者所謂的一類業者他沒有公權力所以他如何去落實執行稽查我們那稽查其實並不是公權就是我們要他做一般的對要他做嘛一般的檢查一規一規好就是KYO嘛那那請問有責無權那他怎麼你們怎麼去落實這個裁法
transcript.whisperx[493].start 14546.94
transcript.whisperx[493].end 14567.426
transcript.whisperx[493].text 就是說如果他有登記電信事業的話我們就會罰MVMO業者不會罰這個提供號碼提供號碼給他的或者評論號碼給他的那個三大業者所以呢我最後就是要請你們具體的告訴我們如果要確實執行納管提供電信服務業者有下列行為的時候包括說第一
transcript.whisperx[494].start 14568.626
transcript.whisperx[494].end 14588.795
transcript.whisperx[494].text 他透過這個MENO或者是轉售或者是說銷售境外那你們有沒有辦法去執行根據這三種樣態提出一個報告說明好不好怎麼去切實執行當然如果你們覺得有困難的或者技術上不可行的也一併說明可以嗎可以沒問題好謝謝謝謝主委謝謝次長謝謝謝謝委員好謝謝鍾嘉賓委員現在請張祺凱委員執行
transcript.whisperx[495].start 14615.755
transcript.whisperx[495].end 14616.136
transcript.whisperx[495].text 陳代主委
transcript.whisperx[496].start 14625.561
transcript.whisperx[496].end 14637.658
transcript.whisperx[496].text 主委今天很多人關心這750年之亂我看你上來回答的時候前後不大一樣你要不要看看你的左腳有沒有踩到右腳一開始有立委問你說這750年之亂
transcript.whisperx[497].start 14642.421
transcript.whisperx[497].end 14653.391
transcript.whisperx[497].text 不只是緩爭啊可能一年後就就往這個不爭的方向你講對嘛對不對各位的報告那是因為當初我們正在要報財政部函還沒回覆之前我們不能把話講太滿
transcript.whisperx[498].start 14655.712
transcript.whisperx[498].end 14681.288
transcript.whisperx[498].text 對啊我說立委這樣問你 你說往這方向嘛後來又有立委問你啊你說修完之後可能一年後要增你沒發現你這左腳踩到右腳前後是不一的沒有 就是我們講說符合最大主流名義方式現在最大主流名義方式是不收那就是我們的主要最大主流名義不收所以是往不收的就是不收的嘛那可是你現在看起來是修完掉成以後一年後要再增啊不是 就是我們會
transcript.whisperx[499].start 14682.429
transcript.whisperx[499].end 14700.18
transcript.whisperx[499].text 一年期間是停政一年面穩會完成修法修法會以最大主流民意方向為考量那因為修法是涉及到NCC委員會議那NCC是何意志我不能把我一個人的意見當作NCC的意見所以你提到說最大的民意最大的民意現在就是
transcript.whisperx[500].start 14701.201
transcript.whisperx[500].end 14721.253
transcript.whisperx[500].text 不收嘛對不對是不是你目前的理解跟你今天在立法院講的就是不收嘛是不是對沒錯來我給你看我得到訊息好像不是這樣啊來我們來看公文你們給了財政部發函財政部給你的文啊他的文的重點是什麼來我們看一下
transcript.whisperx[501].start 14723.675
transcript.whisperx[501].end 14749.514
transcript.whisperx[501].text 緩徵一年緩徵的理由是你這一年要做什麼辦理業務宣傳財政部還特別提醒你喔你停徵期滿之後要立即恢復收起該項審查費如果叫你去歐約公文叫財政部給你這個函那你今天應該很明確跟民眾講啊你這個停徵是只有一年就是明年的2月5號就開始要重新
transcript.whisperx[502].start 14750.663
transcript.whisperx[502].end 14776.15
transcript.whisperx[502].text 正說嘛 是不是這樣 如果照公文來看是不是這樣公文報告 兩點補充 第一點一般理業宣導那是扣合規範法12條的文字 我們必須要符合它第二個 這個停政一年 我們是停政一年之內我們會來做法規檢討 就是收費辦法的檢討那如果字不記 假設一年內法規檢討沒有辦法完成的話我們還可以再跟產政部再申請展言
transcript.whisperx[503].start 14777.452
transcript.whisperx[503].end 14799.373
transcript.whisperx[503].text 那你要早一點給他 給他知道啊那更重要的 沒有沒有 我們要做幾個我們是法治國家嘛 做幾件事情第一個齁 來來 我做一個三個非常具體的這個第一個 你們現在 今天為什麼要討論這個因為你給我們立法院一個被查案嘛 對不對是被查案你要撤回去啊對不對 對不對你不撤今天我們也會退回去是不是這樣 法治國家應該這樣處理嘛
transcript.whisperx[504].start 14800.287
transcript.whisperx[504].end 14822.936
transcript.whisperx[504].text 你都不爭了啊那你現在還送了一個立法院來叫你備查對不對這是法源這個要先拿掉對不對這是累累對不對第二個你要檢討我先我看了一下你是2月12號就給財政部穩財政部在14號就給你了耶他說很快喔他跟你一樣他也很尊重民意啊可是你們這個公文的往返公文上面呈現的就是一年後是要再爭的你跟民眾的傳達信息
transcript.whisperx[505].start 14824.477
transcript.whisperx[505].end 14851.85
transcript.whisperx[505].text 所以我說第一件事情先把你的查詐案撤回去這是第一件事情第二個要跟財政部講我不是一年要收喔你不要跟民進黨說喔我們現在你講有最大名義是往不收嘛對不對好不好今天很明確喔好不好剛剛跟委員報告講因為呢財政部還沒回函之前我們必須要用比較相對比較寬鬆的一些字眼那財政部同意我們停政一年我們會在一年內來修那個收費辦法
transcript.whisperx[506].start 14853.731
transcript.whisperx[506].end 14879.792
transcript.whisperx[506].text 只要把所有的辦法修回這個假設啦假設修為免徵的情況之下我們也不會再跟財政部再申請一個展延所以這一年內是說我們取得這個時間能夠處理掉這個問題好啦 你現在強調最大民意嘛那像最新的民意也是就是不曾往這邊走所有的三個要求都很明確啦你再看一下喔除了第二點我剛剛講你趕快撤回撤回你這個被查這個案子沒有的話我們今天我相信今天的會議應該也會決定退回啦這個應該會達成
transcript.whisperx[507].start 14882.754
transcript.whisperx[507].end 14908.604
transcript.whisperx[507].text 那第二個你要撤回你這個收費案的時候你要重新檢討當然最好就是不收了嘛那至少你要做到一點要取消用智慧的那一塊那部分我剛剛看你們有在談這一塊嘛對不對能不能做一個言論就至少在智慧的這一塊盡量不要收好不好好盡量不要收那第三個你趕快跟財政部發一個函另外我要提醒你們在檢討一個重點你知道那幾天為什麼明年春天很多人很想去
transcript.whisperx[508].start 14910.728
transcript.whisperx[508].end 14930.757
transcript.whisperx[508].text 他們氣啊 他們說 你去拿我這七寶石塊要做什麼你們NCC的講法是說 要拿來做什麼 水電啦開會的人事會啦 自動辨識系統的建置還有一項 引起最大反彈 訴訟會你拿我人民的錢 說我們人民的錢 跟人民打官司那時候整個是雜鍋了嘛
transcript.whisperx[509].start 14932.501
transcript.whisperx[509].end 14945.776
transcript.whisperx[509].text 跟我們報告當時確實是有一件以自由民意來進口然後我們跟他有訴訟確實當時是有個案是真實的個案所以你拿我們人民的收費的錢去跟人民打官司更重要你官司常常都打輸對不對
transcript.whisperx[510].start 14948.607
transcript.whisperx[510].end 14975.741
transcript.whisperx[510].text 常常打輸 常常打輸的同時最重要 我覺得民眾現在的反感是在你拿我們的錢去打訴訟所以你們如果真的要修 至少把訴訟會這個拿掉 好不好好 把這個訴訟會拿掉另外 我用比較簡短的時間問一個最近大家很關心的就是民視啊 用這個AI製作這個緬甸地震這個事情我看你們發了三點聲明嘛我看不只沒有告誡跟勸告耶 那好像很溫柔的提醒而已
transcript.whisperx[511].start 14980.552
transcript.whisperx[511].end 15002.708
transcript.whisperx[511].text 我看今天沒有時間沒有時間看這個這個你要看過這個他這個影片嘛對不對所有有看過吧對不對我相信再說應該很多因為這個很聳動這個為什麼要處理一個AI是一個這個製作是一個新的新的一個技術那電視台到底要不要用這個本來就是好好要去要去討論跟規範的第二更重要的單純就這個事情你看以AI合成這個照片
transcript.whisperx[512].start 15004.143
transcript.whisperx[512].end 15013.985
transcript.whisperx[512].text 觸目驚心啊 他跟你講啊用AI合成 這個照片是什麼觸目驚心 整排的高樓幾乎全部都倒了道路像是被撕裂 你看這個會造成恐慌
transcript.whisperx[513].start 15018.319
transcript.whisperx[513].end 15036.068
transcript.whisperx[513].text 這個個案我們已經請該家業者來做意見陳述那後續我們會照我們的標準程序來處理那至於通案上的這個廣電世界運用AI部分我們也目前正在嚴厲應用指引我們希望能盡快把這個指引出來然後讓各家媒體來參與用
transcript.whisperx[514].start 15040.13
transcript.whisperx[514].end 15063.412
transcript.whisperx[514].text 現階段就是他們要有這個落實他們自己的事實查證跟他們內部的內控的自律機制那這邊我有強調說要他必須要做好這個自律的方面的一些相關該揭示就揭示電視影響力很大嘛那這個事情為什麼這麼重要因為它合成這個畫面非常觸目驚心會不會引起恐慌我們有些台灣人還在緬甸耶
transcript.whisperx[515].start 15065.293
transcript.whisperx[515].end 15091.894
transcript.whisperx[515].text 昨天不是一個新聞嗎一個受傷我們臺灣的負責不幸不幸往生了嘛 對不對第一個我們臺灣跟緬甸都是在同樣的一塊OAR大陸這個板塊上面所以這個新聞基本上是引起了一部分這個恐慌而且它是一個假新聞所以它是要處理的好 那我提出我的具體的處理方式我來自媒體嘛我去調了一下你們在一百一一一零零六次這個委員會議的這個紀錄啊
transcript.whisperx[516].start 15094.304
transcript.whisperx[516].end 15118.001
transcript.whisperx[516].text 談到民事的時候你們要求他們要聘請兩位專職的編審兩到三位嘛 對不對那個編審都是很大勞啦就當過裁判主任啦 或者總編輯才能夠當編審的我記得這個決定是好的那現在我就很明確的要求你要去問民事問清楚他的編制有沒有落實因為你要求他
transcript.whisperx[517].start 15119.065
transcript.whisperx[517].end 15140.762
transcript.whisperx[517].text 做完這個決定之後的次日期的三個月他就要配備嘛第一個有沒有做到有沒有拚第二更重要的你找了一個大牢有這個鞭治啊你要讓他發揮功能嘛要尊敬人家嘛所以像這樣一個為什麼會出現這樣一個錯誤的假新聞引起大家恐慌的請鞭審能夠發揮他的功能好不好請他發揮功能另外我們就法論法嘛我們來看這個新聞既然出了問題從法律上去看
transcript.whisperx[518].start 15151.736
transcript.whisperx[518].end 15173.074
transcript.whisperx[518].text 廣電法第27條第三項的第一款違反法律強制或禁止規定涉違法的六十三之一第五條這個散佈謠言這個假新聞是不是有類似這樣的性質他連罰則都是有的第三項的第四款自播新聞違反事實的查證的這個原則
transcript.whisperx[519].start 15176.054
transcript.whisperx[519].end 15201.347
transcript.whisperx[519].text 各位報告我們這塊處理必須要前後一致我們過往這方面的處理都要上委員會議目前我們沒有委員會議所以這邊程序上我們必須要跟過往的我們過往的作為必須會拘束到我們自己所以這邊的裁罰案所以你就該罵嘛你在講說現在沒有委員沒有足夠的委員可以上禮拜林國成林委問你還說你要趕快去反映啊你看一下這個法令的規定我們已經修法通過啦修法通過啦
transcript.whisperx[520].start 15204.929
transcript.whisperx[520].end 15208.533
transcript.whisperx[520].text 我們在去年的7月16號修正第4條11月15號修正的第16條12月1號已經正式實施了明定三個月內要補足
transcript.whisperx[521].start 15219.079
transcript.whisperx[521].end 15240.102
transcript.whisperx[521].text 補足是什麼時候 今年的3月1號 會不會四月了 過一個月了之前在行政院啊 行政院要提名對不對 你是代理主委你要趕快去提醒啊你這不是失職了嗎 各位報告 台灣民主黨有提一個案子我們就是有那個程序 我們已經報到院裡頭去了 所以院裡頭應該知道
transcript.whisperx[522].start 15240.839
transcript.whisperx[522].end 15247.836
transcript.whisperx[522].text 所以你去提醒 那真正失職的在行政院院長記不提醒嘛 你看你的業務 你剛講到你說你要裁罰 要討論 委員都沒辦法開
transcript.whisperx[523].start 15250.993
transcript.whisperx[523].end 15273.405
transcript.whisperx[523].text 立法院明定的你要趕快補提名時間都過了好不好不要讓院長繼續失職下去好 謝謝委員那民視這個事情我剛講的讓大佬讓那些邊省可以發揮應有的功能請他們要去注意不要再發生假的新聞或者驚悚的新聞這對人民是不好的第二 該有的罰者要罰你不能雙標
transcript.whisperx[524].start 15275.906
transcript.whisperx[524].end 15291.35
transcript.whisperx[524].text 沒有我們中天如果發生在中天要關台關一次我們過往做的程序上要上委員會這邊我們必須要做一致的處理所以你是要等委員會OK那就不要讓院長這句事趕快提醒他趕快提名好不好好謝謝謝謝張祺凱委員現在請王宏威委員執行
transcript.whisperx[525].start 15303.547
transcript.whisperx[525].end 15309.48
transcript.whisperx[525].text 好謝謝主席我先請我們NCC的主委陳代主委
transcript.whisperx[526].start 15313.376
transcript.whisperx[526].end 15338.729
transcript.whisperx[526].text 主委剛才就是您有答應委員會就是有關於我們電信管制射頻器材的規費收費標準在自用第二級電信管制射頻器材輸入核准審查費每件750元這個是要把它廢掉我們會朝修正方向來處理修正就是把這一欄拿掉目前最大主任名義是免收
transcript.whisperx[527].start 15339.417
transcript.whisperx[527].end 15355.345
transcript.whisperx[527].text 免收但是我要提醒主委在之前今年的2月份我在總質詢的時候那時候你站在我們的卓院長旁邊當時我就在問這750塊錢是亂當時你就說會停徵會停徵那時候院長也覺得這是不妥的
transcript.whisperx[528].start 15365.066
transcript.whisperx[528].end 15375.378
transcript.whisperx[528].text 但是沒想到呢在總質詢之後你們NCC就發新聞稿然後呢就加了一個尾巴說停偵一年停偵一年那時候我就很納悶而且我覺得在堂堂的議場之上的總質詢本來說停偵
transcript.whisperx[529].start 15384.369
transcript.whisperx[529].end 15405.319
transcript.whisperx[529].text 下來之後 變成新聞稿 就變成停真一年 只停真一年所以我想請問一下 你今天會廢止是指廢止一年嗎 還廢止兩年 還是就是廢止要講清楚啊 不要等到今天的委員會結束之後你覺得反正你那個挨過委員會之後 回去又我刑我訴
transcript.whisperx[530].start 15406.496
transcript.whisperx[530].end 15424.025
transcript.whisperx[530].text 好跟我們回報第一點我們當時2月25會當時在院會回答委員的之所以會這麼講是因為第一個時間關係第二個我當時委員要求我們當天要發信用稿我們信用稿是扣活著2月14財政部的回函他是同意我們停政一年
transcript.whisperx[531].start 15424.665
transcript.whisperx[531].end 15439.723
transcript.whisperx[531].text 當時你告訴我要停徵啊所以我就說我們應該要留下白紙黑字不要到時候你又沒有再做結果呢你發了新聞稿變成停徵一年所以我要講的我們NCC這個信用會打折扣的所以你這今天的委員會
transcript.whisperx[532].start 15441.892
transcript.whisperx[532].end 15454.827
transcript.whisperx[532].text 就是承諾委員會的事情你就要說到做到好不好停徵就停徵停徵一年跟停徵一年跟停徵跟停徵一年不一樣好嗎我們會在停徵一年期間會完成法規修正
transcript.whisperx[533].start 15456.383
transcript.whisperx[533].end 15485.36
transcript.whisperx[533].text 之後你應該之前吧不然的話你提針 要針啊對不對一年內我們會把它完整就是要聽針了啦另外請教一下這個過去也有委員在提到的就是你們現在因為我們現在在發展無人機但無人機並不是只有國防的使用它還有很多其他的用途民用的部分通訊用的部分甚至農業等等之類的
transcript.whisperx[534].start 15486.34
transcript.whisperx[534].end 15505.234
transcript.whisperx[534].text 那麼現在呢因為在無人機上要佈建雷達一下要收幾千萬的這個規費所以這個會影響我們整個無人機產業的一個發展所以我想請問NCC你們還要收這麼多的錢嗎不會影響我們無人機的佈建不會影響這些所謂的關鍵基礎設施嗎
transcript.whisperx[535].start 15511.357
transcript.whisperx[535].end 15537.538
transcript.whisperx[535].text 好 謝謝委員給我機會來澄清這個應該是報導有誤基本上它應該是平均使用費然後呢我跟委員報告NCC所主管的這個網路審查費電台審查費審驗費執照費全部加起來也不過9200然後這個如果它是用雷達它定位屬於專用電信的電台它大概平均使用費會比較貴所以是數位過了再收是嗎
transcript.whisperx[536].start 15538.038
transcript.whisperx[536].end 15554.621
transcript.whisperx[536].text 但是跟委員報告因為像事業不成立之前是我的主管我相對清楚那以前在桃園機上不是啊你一個人要收多少錢因為我時間有限他可以收0塊錢因為他收的辦法第2條規定說暴行政院符合公共利益是免收
transcript.whisperx[537].start 15555.382
transcript.whisperx[537].end 15581.829
transcript.whisperx[537].text 你現在所謂符合公共利益是哪一些呢你準備要哪一些除了因為你現在本來是軍用的免收嘛那但是我跟你講有八大關鍵基礎設施不是只有軍用喔還有交通的啊還有水資源的啊還金融啊什麼還高科技等等能源的我想請問一下是不是只要你符合這些關鍵基礎設施的無人機部件雷達通通可以免收是不是
transcript.whisperx[538].start 15583.26
transcript.whisperx[538].end 15601.502
transcript.whisperx[538].text 因為現在權責在數位部好來正好數位部來時間暫停一下來正式對趕快來回答一下如果NC都這麼大方他免收他說他將近收一萬塊而已他可以免收那問題是其他的部分你們再收費的部分呢
transcript.whisperx[539].start 15602.931
transcript.whisperx[539].end 15624.156
transcript.whisperx[539].text 跟主委報告因為這個目前並沒有收到那個業者的申請那因為這個無人機的部分他有雷達的部分也有干擾那個干擾槍的部分那他到底要用哪樣什麼樣的頻率我們並沒有具體的這個資料申請資料所以我們現在很難回答你們現在應該什麼收費因為按照現在電信管理法你們只能按電台收費啊
transcript.whisperx[540].start 15625.414
transcript.whisperx[540].end 15635.783
transcript.whisperx[540].text 是 可不可以委員請我們資源司司長幫忙回答趕快具體回答 跟委員報告因為主要是第一個他設的就是寬頻雷達其實寬頻雷達的頻段裡面有涵蓋既有的行動通信的頻段所以如果是一般人來申請的話他其實有嚴重干擾既有通信的之餘所以這個部分我們會審慎來去審查他建置的費用
transcript.whisperx[541].start 15654.638
transcript.whisperx[541].end 15682.524
transcript.whisperx[541].text 如果照我們目前看到有些業者的話他使用的頻寬很寬的話可能會到上達數千萬數千萬對好那因為呢我剛剛講這八大關鍵的基礎設施他們應該都會達數千萬所以因為像剛才NC說只要符合公益性或者是這個關鍵基礎設施因為過去是軍用的部分可以免收那我想請問一下那麼你們以速發部的部分
transcript.whisperx[542].start 15683.544
transcript.whisperx[542].end 15704.954
transcript.whisperx[542].text 符合八大關鍵基礎設施還是要收嗎還是可以免收這個我們如果是關鍵基礎設施的主管機關然後評估確有限制的這個需求的話那這個部分我們由關鍵基礎設施的這個主管機關然後提出我現在具體的提出這個要求和建議
transcript.whisperx[543].start 15705.914
transcript.whisperx[543].end 15734.173
transcript.whisperx[543].text 因為如果無人機的發展是國家的一個政策不管是產業還有我們作為關鍵基礎設施但是呢我們現在電信管理法它的法並不完備那麼它都要適用於電台所以使得它的規費收費標準變得很高變得很高當然我們現在有一些是商用的完全的商用性的那但是有這個屬於關鍵基礎設施的所以你們就應該把它去做釐清
transcript.whisperx[544].start 15735.114
transcript.whisperx[544].end 15754.547
transcript.whisperx[544].text 好不好因為現在看起來聽你們的回答我覺得還是比較模糊的因為時間有限我想可不可以請我們的NCC和我們的述發部針對我關心的這公領運的部分跟你們補充報告我們大概上次交通委員會已經有委員提這個我們今天下午大概就會開會這兩個部會來協調來確認這個後續相關的一些怎麼處理下午就會開會你們今天下午開會會有結論嗎
transcript.whisperx[545].start 15763.841
transcript.whisperx[545].end 15787.899
transcript.whisperx[545].text 應該會確定一些原則你們如果有一些結論的話也趕快這樣提供給外界也提供給我們那個委員會還有我們辦公室好嗎好可以吧好謝謝謝謝委員好謝謝王宏威委員接下來蔓依貞委員提出書面的執行所以現在我們請游浩委員執行
transcript.whisperx[546].start 15796.218
transcript.whisperx[546].end 15811.77
transcript.whisperx[546].text 呃謝謝主席那要有請就是陳主委好陳代主委那也再接著也有請我們說話部的次長好那個林次長次長竹山也幫忙難度很多啊那
transcript.whisperx[547].start 15813.212
transcript.whisperx[547].end 15823.761
transcript.whisperx[547].text 剛才在延續紅衛委員所質詢的內容那這750之亂那當然說我們也看到NCC確實也要做停偵那時候我記得是紅衛委員第一時間就開了記者會來幫我們民眾的心聲反映出這個問題
transcript.whisperx[548].start 15830.706
transcript.whisperx[548].end 15854.187
transcript.whisperx[548].text 那當然說那時候有提到說包括廖宣祥文有提到不應該八三成批嘛那包括不管是原本海關的這個費用包括兩千塊以上的費用還有包括這個再收一次審查費那當然說目前來講也做一個停徵的動作那停徵一年那本席還是希望說未來的話這個相關法會在盡快修訂完之後那就是確定停徵
transcript.whisperx[549].start 15855.228
transcript.whisperx[549].end 15881.991
transcript.whisperx[549].text 那接著的話就是剛才廖先祥委員在質詢的時候其實有給我們大家辦公室有很大的一個啟發因為民眾現在可能會很關心一些問題那這可能有些需要請事發布補充那就像目前來講先姑且不論賴清的總統他在發表言論之後造成這個台海的局勢算是嚴重的升溫那現在我們也看到這相關的軍演不管是
transcript.whisperx[550].start 15882.851
transcript.whisperx[550].end 15907.907
transcript.whisperx[550].text 陸防那邊或是我國國軍的部分在軍演的這個部分那也都可以看得出來在民眾對於這個兩岸如果發生戰事的時候感到擔憂那同樣的在氣象署他也在前兩天也有特別警示說假如發生大地震的話也請民眾在就是這兩週也要密切來注意那所以說這回歸到許多民眾就開始擔心
transcript.whisperx[551].start 15908.607
transcript.whisperx[551].end 15921.922
transcript.whisperx[551].text 那在NCC他管理我們國內的三大電信業者那在目前來講假如發生戰事或發生這個重大災難的時候啊那目前的通訊有沒有什麼預備方案
transcript.whisperx[552].start 15923.7
transcript.whisperx[552].end 15937.847
transcript.whisperx[552].text 我們平時會要求他做這個多路由的一些備援備份做好加強他的韌性強度然後業者也做有很多一些替代方案的就比方說他過往的路由可能都不只一條會有兩條
transcript.whisperx[553].start 15938.928
transcript.whisperx[553].end 15952.343
transcript.whisperx[553].text 那行網部分它會有一些 假設某個記憶檯失效了它會把周邊的記憶檯做一些來協力 可能加大一些功力來處理那目前這一塊的處理是這樣子
transcript.whisperx[554].start 15953.945
transcript.whisperx[554].end 15973.816
transcript.whisperx[554].text 那我當然是能夠理解說好那目前基地台加大功率或是能夠互相互補或是能夠擴大範圍但是如果假如是發生戰事的時候局部區包括基地台如果被摧毀的時候假如啦那因為我們大家必須防範未來因為民眾確實也擔憂那像這樣子來講的話包括正常的通訊還能夠維持嗎因為如果是地面上的
transcript.whisperx[555].start 15979.036
transcript.whisperx[555].end 15991.79
transcript.whisperx[555].text 掛掉了假設海欄又掛掉那怎麼靠衛星衛星的頻寬有限到時候就是搶頻寬資源但是搶頻寬資源必須基於國家安全會用國家安全相關單位會優先使用那對啊所以說民眾到時候是沒有網路可以用
transcript.whisperx[556].start 15993.451
transcript.whisperx[556].end 16016.891
transcript.whisperx[556].text 我知道數位部有佈建一些700多次店但是也是主要是公益使用我根本請數位部來補充好那沒關係我先接著問好了那這樣子目前來講像我們現在都送這種iPhone的手機啊那這種的話都是無線的也必須要就是比方以前大家都會用耳機那這樣子假如暫時的時候沒有通訊的時候那這種Apple的這種手機還能夠聽廣播嗎
transcript.whisperx[557].start 16020.765
transcript.whisperx[557].end 16047.095
transcript.whisperx[557].text 早期很多手機都有內建這個收聽FMFM現在比較少必須要選擇購買的時候必須要看一下它貴個行李裡頭有沒有含這項功能沒有的話大概就沒有那所以說假如這個到那種情況的時候那原則上大家說手機不能通不能夠使用的時候大家必須要聽廣播但是現在的大家許多的新手機來講可能因為沒有網路沒有訊號所以也沒辦法聽廣播沒有錯吧
transcript.whisperx[558].start 16047.935
transcript.whisperx[558].end 16076.698
transcript.whisperx[558].text 所以一般一些緊急救護包裡頭會有一個收音機這種設計的原因大概也是在這邊所以你還是希望說大家去準備這個緊急的一個急難包它裡面要有收音機嗎就是看每個人的取捨啦但是這個資訊可以讓大家都知道像一些緊急的地震什麼救難包裡頭大概都會有手電筒啊收音機啊這些
transcript.whisperx[559].start 16077.418
transcript.whisperx[559].end 16104.227
transcript.whisperx[559].text 因為我們現在來講不僅是怕有戰事發生那同樣的我們也會擔心說會不會有大地震嘛那所以這些東西都是大家平常需要去做防範未然嘛那再來我要接著問像4年60億的這個災難漫遊計畫那時候是主要是針對這個戰爭通訊我們現在來講可能也會擔心會不會有大型的這種天災地震因為畢竟我們氣象署也提出警示那這樣子的一個計畫目前實施進度為何
transcript.whisperx[560].start 16106.242
transcript.whisperx[560].end 16131.775
transcript.whisperx[560].text 跟委員報告如果台灣發生重大的天災或者是區域衝突的時候我們速發部主要是要在網路通訊上面一方面要確保台灣能對外通聯另外一個是我們要確保台灣內部能通聯那對外能通聯的話我們主要就是透過衛星還有微波還有那個光纖海嵐的備援我們盡量做備援避免被光纖海嵐被切斷
transcript.whisperx[561].start 16132.475
transcript.whisperx[561].end 16156.015
transcript.whisperx[561].text 然後對內來講的話我們第一個就是說又分成兩個部分來做第一個就是我們確定說我們這個基地台有電力的供應那這個當然需要那個台電等那個就是他們來幫忙那另外一個就是我們在那個手機要使用的話必須有所謂的合網就是那個三大像那個中華電信台灣大各大還有那個
transcript.whisperx[562].start 16157.816
transcript.whisperx[562].end 16182.008
transcript.whisperx[562].text 遠傳電性的那個機房萬一他們機房被破壞或者是因為地震會摧毀的時候我們就是有一個機制就是他們可以互相備援譬如說其中有一家他的機房壞掉了那我們的所有的手機就可以緊急的轉換到其他兩家的那個機房的合網設施去使用所以目前來講假如發生這種特殊情況的時候三家電信業者的機台是可以互相來做備援的
transcript.whisperx[563].start 16182.228
transcript.whisperx[563].end 16207.837
transcript.whisperx[563].text 是我們之前提出的預算就是有一些就是要做這方面的工作那如果說那回頭來講我再接著請教NCC代理主委就是如果說像假如發生這種天災或是戰禍的這種情況之下民眾要如何接收消息除了廣播之外電視的時候還能看嗎還收得到嗎還是就必須要透過什麼樣的形式來接收到相關的疏散的或是救難的訊息
transcript.whisperx[564].start 16209.156
transcript.whisperx[564].end 16232.833
transcript.whisperx[564].text 無線電視只要它有電源的話應該還是收容到但是前提是要無線電視的那個轉播站台沒有被破壞還存在但是相對的它的架台也會相對是比較有機會還是存在但是廣播會比較更快因為廣播它的架設時間成本都比較門檻比較低比較容易架設
transcript.whisperx[565].start 16234.315
transcript.whisperx[565].end 16243.768
transcript.whisperx[565].text 那所以到時候像是電視的部分原廠也比較沒有辦法接收到訊息了嗎只要他發射站轉播站都還在都一樣可以接收一樣可以收得到
transcript.whisperx[566].start 16244.502
transcript.whisperx[566].end 16272.009
transcript.whisperx[566].text 好OK那好那我就接著希望說台灣無災啦那也希望說目前來講台灣的局勢能夠降溫啦那但是我們更要讓民眾能夠藉由這樣子的提醒內容來如果說有任何的天災的時候大家要如何反反未然嘛那我想最後再請主委這邊再補充一下如果說除了像是就是廣播的那個收音機之外還有什麼要給大家做提醒的
transcript.whisperx[567].start 16272.874
transcript.whisperx[567].end 16294.349
transcript.whisperx[567].text 我相信這個相關的部會應該有在盤點應該是內政部他現在最近都有做一些相關的一些一些宣導宣告我相信那邊應該都會有即便是平時的這個天災颱風等等那些都消防署消防單位都會有這些這些宣導
transcript.whisperx[568].start 16295.407
transcript.whisperx[568].end 16318.522
transcript.whisperx[568].text 那我還是希望說在NCC這裡面還是要扮演角色啦因為畢竟管理三大電信業者的話那這個責任也是不管是任何的一個突發狀況緊急的一個情況的時候那還是希望能夠跟三大業者去做協調因為畢竟就是如果大家保持一個良好的通訊那相信很多事情來講就比較傷害跟混亂可以造成最低啦
transcript.whisperx[569].start 16319.23
transcript.whisperx[569].end 16326.238
transcript.whisperx[569].text 會的 我們會要求第三大業者持續精進他的網路服務好 謝謝謝謝委員好 謝謝游浩委員現在請鄭天才委員執行
transcript.whisperx[570].start 16346.682
transcript.whisperx[570].end 16364.594
transcript.whisperx[570].text 主席 各位委員有請國家通訊傳播委員會陳主委好 陳代主委還有數位發展部林次長好 數位部林次長大家辛苦了
transcript.whisperx[571].start 16367.689
transcript.whisperx[571].end 16394.419
transcript.whisperx[571].text 這個天下雜誌在2023年的一個報導這個台灣為以開發國家備詐金額最高的國家以網路電信這方面的一個詐騙然後這個監察院在去年也通過了政府防制電信網路詐欺這個是相關的這些詐欺案
transcript.whisperx[572].start 16395.311
transcript.whisperx[572].end 16420.972
transcript.whisperx[572].text 嚴重這個非常的也提出這個相關的對策跟檢討這裡面特別提到詐騙國安危機全國招詐500億這樣的一個非常嚴重所以相關這些當然打詐司法也通過了但是並沒有遏止這些詐騙的這個案件
transcript.whisperx[573].start 16424.757
transcript.whisperx[573].end 16452.339
transcript.whisperx[573].text 近五年詐欺案件不斷的升高剛提到去年502.5億所以這裡面相關這樣的一個案例層出不窮所以先請教國家通訊傳播委員會到底政府有什麼樣的救年NCC有什麼樣的因應措施
transcript.whisperx[574].start 16452.802
transcript.whisperx[574].end 16466.941
transcript.whisperx[574].text 是的跟各位報告政府是這個團隊的合作施炸、堵炸、防炸、堵炸、懲炸是由五個部會來處理NCC是負責堵炸這一塊我們主要是攔阻這個
transcript.whisperx[575].start 16469.764
transcript.whisperx[575].end 16494.819
transcript.whisperx[575].text 異常的電話還有跟簡訊那電話部分大概這邊的成效大概都已經出來所以他都轉移到其他地方簡訊部分特別是商業簡訊這邊我們大概去年9月10月開始推以來那目前的成效大概去年10月到今年1月件數被通報165通報件數都是零但是他大概就轉移到比較偏網路那一塊那這邊我們都會持續協同相關部會來努力
transcript.whisperx[576].start 16495.699
transcript.whisperx[576].end 16521.364
transcript.whisperx[576].text 這個主詐這是最重要的怎麼樣讓這個人民不要受到這個詐騙所以這個主詐很重要所以這個部分這個要去持續的繼續的去加強你剛剛說有這個成效書面的資料提供好沒問題那個數位發展部你們有什麼樣因應的
transcript.whisperx[577].start 16521.784
transcript.whisperx[577].end 16550.95
transcript.whisperx[577].text 是 在反詐方面數位發展部的職責主要是要避免民眾在Facebook Google以及Line這樣的社群平台上面被騙到一個私訊裡面通常詐騙集團它事實上是有一個產業鏈的剛開始會在Facebook Google或者是Twitter上面講說我是謝金河我賺了很多錢希望你加入我的群組這個時候他就把人騙到一個
transcript.whisperx[578].start 16551.71
transcript.whisperx[578].end 16579.134
transcript.whisperx[578].text 那個小房間裡面那我們速發布就是要避免民眾被騙進去那我們的具體作為有分成兩部分第一個是法律方面法律方面我們非常感謝那個立法院在去年我們通過了打詐專法那從今年的1月開始不管是Facebook Line或者是在Google上面所有的廣告都必須採取實名制我們就確定說只有謝金河本人才能那個發廣告說他是謝金河
transcript.whisperx[579].start 16579.614
transcript.whisperx[579].end 16604.218
transcript.whisperx[579].text 那另外一方面我們是透過那個簡訊以及那個我們的網站通告查詢網的方式我們就是想辦法把盡快的把這些仿冒名人還有假投資的詐騙想辦法讓他盡快的下架那我們跟那個Facebook跟Line跟那個Google也都建立很好的溝通管道我們可以在很快的時間裡面把這些詐騙訊息下架有成效嗎
transcript.whisperx[580].start 16605.739
transcript.whisperx[580].end 16632.235
transcript.whisperx[580].text 是 那個我想委員我們可以注意到就是說現在在Facebook上面譬如說假冒那個謝金和假冒陳文茜這一類的廣告已經大幅下降了這個我想很多人都注意到 媒體也有報導這個部分這兩個機關要加油 要加強因為我們在整個所了解到的是都是警察在忙啊
transcript.whisperx[581].start 16633.72
transcript.whisperx[581].end 16654.413
transcript.whisperx[581].text 檢查非常忙,忙著這個都是一個需要去加強的部分所以今天這個今天的幾個電信管理法的一個修正非常非常的有它的必要性
transcript.whisperx[582].start 16656.387
transcript.whisperx[582].end 16671.523
transcript.whisperx[582].text 這個以NCC的報告裡面這個還要期待行政院提出修法草案事實上立委已經提出了修法的草案到底要怎麼樣會更好
transcript.whisperx[583].start 16672.455
transcript.whisperx[583].end 16698.193
transcript.whisperx[583].text 你們直接在審查會的時候就提出來 而不必等到行政院的這個法案因為這個是迫不及待的一個 需要去解決的部分所以這個部分要請這個NCC這邊如果相關的法案 如果條文認為怎麼樣修會更好這個大家都可以共同的來去審查好的 我們會一起努力
transcript.whisperx[584].start 16699.243
transcript.whisperx[584].end 16726.002
transcript.whisperx[584].text 這個NCC最後你的經費凍結案什麼時候可以送解凍報告我們盡快因為還在程序中我們會盡快這個1月20幾號立法院就三讀通過了這個預算案就應該先準備好了總統在3月公告了這個預算案應該就可以送來了為什麼不能送來
transcript.whisperx[585].start 16727.261
transcript.whisperx[585].end 16751.638
transcript.whisperx[585].text 好 我們會盡快 謝謝委員什麼叫盡快就是我們完成該有程序之後就會送出這很容易啊 照理應該一月二十幾號三讀通過應該就準備好了就應該就可以所以已經四月了呢這個過去三月就開始審查解凍案了呢好不好好 沒問題謝謝謝謝委員謝謝委員
transcript.whisperx[586].start 16754.554
transcript.whisperx[586].end 16782.428
transcript.whisperx[586].text 好 謝謝鄭天才委員現在請鄭振淺委員鄭振淺委員鄭振淺委員不在現在請喜智傑委員執行主席我們請主委好 陳代主委
transcript.whisperx[587].start 16787.543
transcript.whisperx[587].end 16788.91
transcript.whisperx[587].text 各位好 各位剛剛那個
transcript.whisperx[588].start 16791.135
transcript.whisperx[588].end 16819.76
transcript.whisperx[588].text 750元這個審查費已經很多元都談很多了啦那現在就是說我們希望說你們趕快朝免徵的方向去進行嘛是這個部分沒有問題嗎沒有沒有問題所以那個程序上我想我們就不用管那麼多啦那就是說這個是一個精神跟原則那希望說NCC盡快就是所有的程序可以處理的我們就盡快處理我們在處理的範圍內我一定會全力處理
transcript.whisperx[589].start 16820.18
transcript.whisperx[589].end 16843.836
transcript.whisperx[589].text 就往這個方向去處理 我們這個案子三黨好不容易有個共識大家都一致希望說不要再爭了 這750元我們會有個共同的提案 也希望說主委能夠盡量配合這個方向其實你有一個很簡單的觀念 民眾 他們是自己用的 你就不要收了他們做生意我們不會說嘛
transcript.whisperx[590].start 16845.738
transcript.whisperx[590].end 16864.834
transcript.whisperx[590].text 我知道你那裡有七類嘛 對不對就是有前六類有做到生意的做到生意的基本上你們有你們的管理方式我覺得那個應該還是可以考量只是說純粹他個人的需要他出國回來 帶一行 帶兩行回來你再叫他 帶一隻兒子回來你再叫他 現在有什麼審查會 現在有沒有比較好
transcript.whisperx[591].start 16871.701
transcript.whisperx[591].end 16877.548
transcript.whisperx[591].text 就個人使用的一項或兩項少數的就不用再收了就朝這個方向去處理
transcript.whisperx[592].start 16879.48
transcript.whisperx[592].end 16906.449
transcript.whisperx[592].text 好 那個我們的海嵐船我們的海嵐經常受到那個船把我們的鉤壞嘛 對不對近年來鉤了好很多很多次那我想我們如何去預防那NCC每一次都回答說你們只要有鉤壞啦你們在24小時值班會盡量把它恢復盡量修復等等的啦這個是比較消極的作為那你們比較積極的作為
transcript.whisperx[593].start 16908.449
transcript.whisperx[593].end 16937.197
transcript.whisperx[593].text 這陣子有沒有抓到人這幾年來最近有現場抓到是台澎台澎海巡署有把船押回港內我知道我是只要數目字你抓到一件嘛對不對對勾匯了這五年來有多少件五年內我就詳細數據該列了幾十件對不對差不多對啊結果呢只抓到一件
transcript.whisperx[594].start 16939.702
transcript.whisperx[594].end 16962.08
transcript.whisperx[594].text 屬於國際海嵐部分因為它是你們不是有要求中華電信嗎對要有運維船海嵐自己修復船的大概養一台海嵐修復船的成本太高當初中華電信也有評估過大概比較所以你們要求他們是說做不到還是怎麼樣他們是認為說目前還沒辦法達到沒錯
transcript.whisperx[595].start 16963.916
transcript.whisperx[595].end 16987.276
transcript.whisperx[595].text 好那你們盡快溝通啦我是覺得就是說你總是要有一些積極作為嘛是關老是消極作為人家現在有那個裝甲的電纜技術可以直接沉很深幾十公里幫你剪斷那醫藥事情都要處理不完這個我們會要求中華電信跟都是來繼續努力盡快想一個積極可以處理的作為好不好好
transcript.whisperx[596].start 16989.076
transcript.whisperx[596].end 17007.351
transcript.whisperx[596].text 那再來國際詐騙電話其實我要求很多次我看你們是有進步啦有進步你們好像宣傳的不太夠你們那個過濾掉的狀況現在在你們所做的有沒有什麼具體的成果可以簡單描述一下
transcript.whisperx[597].start 17009.551
transcript.whisperx[597].end 17018.434
transcript.whisperx[597].text 簡單來講就是藍組的部分從113年最高峰到現在其實偽造這個國內的電話部分藍組部分大概藍掉87%最高值跟現在的現況來比那偽裝是國內的行動部分藍組
transcript.whisperx[598].start 17028.036
transcript.whisperx[598].end 17043.264
transcript.whisperx[598].text 將近98%都攔掉了所以他現在詐騙集團這一塊國際電話的那一塊都比較在165舉報那邊都比較少了我看你那個結果就是國際來話化物量從最多的時候是5000多萬通
transcript.whisperx[599].start 17046.068
transcript.whisperx[599].end 17067.798
transcript.whisperx[599].text 現在是500多萬通所以這是你們的成果有成果總是要宣導因為其實我那時候跟你們提過就是說你做一個伺服器那它發出去那有國際異常進來其實你就不要直接你用轉接你這邊如果說可以去計算它的那個進來的化量在一天裡面異常
transcript.whisperx[600].start 17068.638
transcript.whisperx[600].end 17092.869
transcript.whisperx[600].text 一般國際電話卡進來,若不是詐騙的,做生意的他不會說一天接通電話一直卡到不一樣的地方所以你們用這樣子去攔截這個發號行為也在我們這個防護的一個考量參數之一我的意思是說有成果要講一下,雖然500多萬通過很多啦,大家也是要買啦但是就算你們已經阻掉4500萬通的總是要講一下啦
transcript.whisperx[601].start 17095.558
transcript.whisperx[601].end 17123.512
transcript.whisperx[601].text 這樣好不好 做的要講方針嘛當然你做不夠的 再繼續讓你嘛 好不好再來就是我再建議一下就是說你那個手機的那個接聽警示是不是可以再加強那以及就是你的成果跟防災意識我們繼續來宣導希望說積極啦 照片電話真的是很討厭那我想你們應該是盡量再多用一點心讓國園少售片為主
transcript.whisperx[602].start 17124.232
transcript.whisperx[602].end 17147.146
transcript.whisperx[602].text 好 謝謝委員其實我們持續在努力在未來的網路電話那邊也一樣會引入類似的機制好 辛苦 謝謝好 OK謝謝委員 謝謝好 謝謝喜事節召委的執行現在葉延之委員葉延之 葉延之不在好完了嗎沒有了好
transcript.whisperx[603].start 17149.52
transcript.whisperx[603].end 17167.166
transcript.whisperx[603].text 登記執行委員已花言完畢 作為以下的決定一 報告及執行完畢二 委員麥義貞委員提出書面執行 首題書面執行列入記錄並刊登公報
transcript.whisperx[604].start 17168.419
transcript.whisperx[604].end 17186.901
transcript.whisperx[604].text 三 委員執行中要求提供相關書面資料或未及答覆部分請國家通信傳播委員會儘速以書面答型所以我們的答型的部分就
transcript.whisperx[605].start 17188.283
transcript.whisperx[605].end 17208.089
transcript.whisperx[605].text 到現在來接下來我們討論進行討論事項先處理第一案的行政命令部分因為本案是行政命令所以不以先讀條文也不足調審查現在有提
transcript.whisperx[606].start 17210.387
transcript.whisperx[606].end 17231.705
transcript.whisperx[606].text 好分別應處理核准之電信管管制攝影器材以及電信管理攝頻器材製造輸入及申請作業管理辦法修正修正案在這個部分我們請邀請
transcript.whisperx[607].start 17236.928
transcript.whisperx[607].end 17257.097
transcript.whisperx[607].text 請通常會說明各位委員不曉得有沒有意見好沒有的話我們請通常會說明不需要站起來直接說明就好因為我們謝謝法務部黃政次因為這個業務跟他無關所以請他先請離席謝謝我們黃政次謝謝
transcript.whisperx[608].start 17265.845
transcript.whisperx[608].end 17268.926
transcript.whisperx[608].text 這位委員有沒有意見 因為他遵照辦理有沒有意見沒有意見就結議 今同意被查 報請宴會存查
transcript.whisperx[609].start 17290.558
transcript.whisperx[609].end 17305.421
transcript.whisperx[609].text 好接下來我們就第二案的電信管理業務規會收費標準第14條第14條條文的修正那有委員提案一併請我們先讀先讀
transcript.whisperx[610].start 17315.165
transcript.whisperx[610].end 17344.611
transcript.whisperx[610].text 提案一案 規費法第十條第一項規定業務主管機關應依下列原則訂定或調整收費基準並減負成本資料洽商該級政府規費主管機關同意並送該級民意機關備查鑒於國家通訊常務委員會所擬之電信管理業務規費收費標準第十四條附表九修正後電信管制色評器材規費收費標準表資致用第二級電信管制
transcript.whisperx[611].start 17345.391
transcript.whisperx[611].end 17360.541
transcript.whisperx[611].text 設平器材輸入核准審查費違依法就所修正之收費項目減付成本資料及修正之具體理由違反規範法規定原依立法院職權行使法第62條第1項
transcript.whisperx[612].start 17363.16
transcript.whisperx[612].end 17379.559
transcript.whisperx[612].text 此部分決議部與備查其餘更正相關修法引發社會大眾對該收費費額有無收取必要執行方式比例費額大小是否恰當與能否達到行政目的之疑慮原請通傳會針對該表新針
transcript.whisperx[613].start 17383.55
transcript.whisperx[613].end 17396.151
transcript.whisperx[613].text 不予被查之審查費重新審視其必要性與合理性予以修正並為適當之處理其餘部分者同意被查抵押人委員您國懲等宣讀完畢
transcript.whisperx[614].start 17398.029
transcript.whisperx[614].end 17417.059
transcript.whisperx[614].text 好 各位這個現在我們這個提案是多數委員提案提案委員 洪孟楷 邱若驊黃健豪 陳雪生 蔡其昌 喜智傑魯明哲 廖先祥以上
transcript.whisperx[615].start 17419.498
transcript.whisperx[615].end 17447.941
transcript.whisperx[615].text 還有遊浩遊浩委員那請問一下針對這些修正案除了收賄的其餘部分同意被查但是收賄的部分是不已被查所以大家有沒有意見好沒有意見我們就是通有沒有好的這是提案這是提案這是提案要不要說明一下來陳代書委
transcript.whisperx[616].start 17449.565
transcript.whisperx[616].end 17453.757
transcript.whisperx[616].text 其他部分剛剛你已經宣讀過了所以我們就按照正式辦理沒問題
transcript.whisperx[617].start 17459.953
transcript.whisperx[617].end 17486.573
transcript.whisperx[617].text 照案辦理是講這個案嘛好那我們現在就做成這個部分的結議通過結議一項本案其中新增之自用第二級電信管制攝頻器材輸入核准審查會不已被查請國家通信傳播委員會予以更正其以部分准以被查
transcript.whisperx[618].start 17488.22
transcript.whisperx[618].end 17492.624
transcript.whisperx[618].text 那各位委員有沒有意見沒有好沒有意見我們就做成以上的結議好
transcript.whisperx[619].start 17495.287
transcript.whisperx[619].end 17518.992
transcript.whisperx[619].text 那今天我們另外就是電信管理法審查的部分也謝謝各位委員現在那因為總共有七案的部分七案的部分那這七案的部分我在看主管機關跟我們提案委員在這裡我特別拜託NCC及有關單位在這段時間
transcript.whisperx[620].start 17520.552
transcript.whisperx[620].end 17548.442
transcript.whisperx[620].text 都跟委員提案委員來做充分溝通取得共識之後我們另定期繼續來審查各位委員這樣有沒有意見好沒有意見的話我們要拜託NCC主管機關要跟提案委員去做說明取得一個共識這樣的話我們擇期再審才有一個共識好不好好
transcript.whisperx[621].start 17550.708
transcript.whisperx[621].end 17573.504
transcript.whisperx[621].text 好 針對今天的會議做以下的決議一 討論四項第一案行政命令部分應經核准之電信管理設平器材及電信管制設平器材製造輸入及申請作業管理辦法修正案
transcript.whisperx[622].start 17574.524
transcript.whisperx[622].end 17599.569
transcript.whisperx[622].text 並按審查完略依據立法院職前行使法第62條第二項規定彌據審查報告報請院會存查電信管理業務規規會說會標準第14條之修正條文修正審查完略依據立法院職前行使法第62條第一項規定
transcript.whisperx[623].start 17603.211
transcript.whisperx[623].end 17618.232
transcript.whisperx[623].text 擬據審查報告連同通過之結議案提報應會討論通過國家通信傳播委員會的更正以上三案部分更正
transcript.whisperx[624].start 17619.541
transcript.whisperx[624].end 17633.291
transcript.whisperx[624].text 部分更正以上商案宴會討論前不需交由黨團協商宴會討論時由林昭吉委員做補充說明以上會議的結議有沒有意見
transcript.whisperx[625].start 17637.918
transcript.whisperx[625].end 17651.671
transcript.whisperx[625].text 好沒意見好接下來討論提案第二案的部分令定期繼續細審大家有沒有意見好沒有意見本次會議結束上會謝謝大家
transcript.whisperx[626].start 17665.452
transcript.whisperx[626].end 17695.452
transcript.whisperx[626].text 響鐘
transcript.whisperx[627].start 17695.452
transcript.whisperx[627].end 17711.152
transcript.whisperx[627].text 謝謝