iVOD / 15715

Field Value
IVOD_ID 15715
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15715
日期 2024-03-12
會議資料.會議代碼 院會-11-1-4
會議資料.會議代碼:str 第11屆第1會期第4次會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 4
會議資料.種類 院會
會議資料.標題 立法院第11屆第1會期第4次會議
影片種類 Full
開始時間 2024-03-12T08:29:59+08:00
結束時間 2024-03-12T16:43:00+08:00
影片長度 08:13:01
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60919c5f9c9feb1074a9b5fa2f296a935343be8d109af184be45cc1c8734f3545d95ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-12T09:00:00+08:00
會議名稱 第11屆第1會期第4次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。 二、3月8日上午9時至10時為國是論壇時間。 三、3月12日下午1時50分至2時30分為處理臨時提案時間。)
委員名稱 完整會議
委員發言時間 08:29:59 - 16:43:00
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 1812.27096875
transcript.pyannote[0].end 1818.75096875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 1819.15596875
transcript.pyannote[1].end 1821.45096875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 1821.65346875
transcript.pyannote[2].end 1825.56846875
transcript.pyannote[3].speaker SPEAKER_09
transcript.pyannote[3].start 1852.56846875
transcript.pyannote[3].end 1853.32784375
transcript.pyannote[4].speaker SPEAKER_09
transcript.pyannote[4].start 1855.13346875
transcript.pyannote[4].end 1858.37346875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1858.87971875
transcript.pyannote[5].end 1861.27596875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 1862.74409375
transcript.pyannote[6].end 1862.92971875
transcript.pyannote[7].speaker SPEAKER_30
transcript.pyannote[7].start 1866.30471875
transcript.pyannote[7].end 1867.23284375
transcript.pyannote[8].speaker SPEAKER_30
transcript.pyannote[8].start 1867.62096875
transcript.pyannote[8].end 1869.61221875
transcript.pyannote[9].speaker SPEAKER_09
transcript.pyannote[9].start 1867.94159375
transcript.pyannote[9].end 1868.26221875
transcript.pyannote[10].speaker SPEAKER_09
transcript.pyannote[10].start 1870.06784375
transcript.pyannote[10].end 1876.86846875
transcript.pyannote[11].speaker SPEAKER_30
transcript.pyannote[11].start 1872.26159375
transcript.pyannote[11].end 1872.83534375
transcript.pyannote[12].speaker SPEAKER_09
transcript.pyannote[12].start 1876.95284375
transcript.pyannote[12].end 1878.91034375
transcript.pyannote[13].speaker SPEAKER_09
transcript.pyannote[13].start 1879.16346875
transcript.pyannote[13].end 1881.62721875
transcript.pyannote[14].speaker SPEAKER_09
transcript.pyannote[14].start 1881.76221875
transcript.pyannote[14].end 1897.23659375
transcript.pyannote[15].speaker SPEAKER_09
transcript.pyannote[15].start 1897.55721875
transcript.pyannote[15].end 1920.15284375
transcript.pyannote[16].speaker SPEAKER_09
transcript.pyannote[16].start 1920.18659375
transcript.pyannote[16].end 1924.06784375
transcript.pyannote[17].speaker SPEAKER_09
transcript.pyannote[17].start 1924.27034375
transcript.pyannote[17].end 1930.44659375
transcript.pyannote[18].speaker SPEAKER_09
transcript.pyannote[18].start 1930.59846875
transcript.pyannote[18].end 1953.24471875
transcript.pyannote[19].speaker SPEAKER_09
transcript.pyannote[19].start 1953.43034375
transcript.pyannote[19].end 1957.78409375
transcript.pyannote[20].speaker SPEAKER_30
transcript.pyannote[20].start 1957.93596875
transcript.pyannote[20].end 2002.57034375
transcript.pyannote[21].speaker SPEAKER_09
transcript.pyannote[21].start 2003.12721875
transcript.pyannote[21].end 2054.81534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 2011.95284375
transcript.pyannote[22].end 2011.96971875
transcript.pyannote[23].speaker SPEAKER_30
transcript.pyannote[23].start 2011.96971875
transcript.pyannote[23].end 2012.42534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 2012.42534375
transcript.pyannote[24].end 2012.45909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 2013.65721875
transcript.pyannote[25].end 2013.70784375
transcript.pyannote[26].speaker SPEAKER_30
transcript.pyannote[26].start 2013.70784375
transcript.pyannote[26].end 2013.97784375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 2013.97784375
transcript.pyannote[27].end 2014.58534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 2015.37846875
transcript.pyannote[28].end 2015.81721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 2032.43909375
transcript.pyannote[29].end 2033.43471875
transcript.pyannote[30].speaker SPEAKER_30
transcript.pyannote[30].start 2054.81534375
transcript.pyannote[30].end 2117.25284375
transcript.pyannote[31].speaker SPEAKER_09
transcript.pyannote[31].start 2116.40909375
transcript.pyannote[31].end 2141.87346875
transcript.pyannote[32].speaker SPEAKER_30
transcript.pyannote[32].start 2120.42534375
transcript.pyannote[32].end 2120.76284375
transcript.pyannote[33].speaker SPEAKER_30
transcript.pyannote[33].start 2123.47971875
transcript.pyannote[33].end 2124.05346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 2124.05346875
transcript.pyannote[34].end 2124.10409375
transcript.pyannote[35].speaker SPEAKER_09
transcript.pyannote[35].start 2142.24471875
transcript.pyannote[35].end 2149.34909375
transcript.pyannote[36].speaker SPEAKER_09
transcript.pyannote[36].start 2149.65284375
transcript.pyannote[36].end 2151.84659375
transcript.pyannote[37].speaker SPEAKER_09
transcript.pyannote[37].start 2152.38659375
transcript.pyannote[37].end 2174.29034375
transcript.pyannote[38].speaker SPEAKER_30
transcript.pyannote[38].start 2175.03284375
transcript.pyannote[38].end 2182.13721875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 2181.12471875
transcript.pyannote[39].end 2186.74409375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 2186.99721875
transcript.pyannote[40].end 2193.94971875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 2194.13534375
transcript.pyannote[41].end 2197.02096875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 2197.49346875
transcript.pyannote[42].end 2202.65721875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 2203.01159375
transcript.pyannote[43].end 2271.84471875
transcript.pyannote[44].speaker SPEAKER_09
transcript.pyannote[44].start 2271.33846875
transcript.pyannote[44].end 2280.41721875
transcript.pyannote[45].speaker SPEAKER_09
transcript.pyannote[45].start 2280.65346875
transcript.pyannote[45].end 2283.37034375
transcript.pyannote[46].speaker SPEAKER_09
transcript.pyannote[46].start 2283.53909375
transcript.pyannote[46].end 2356.25346875
transcript.pyannote[47].speaker SPEAKER_09
transcript.pyannote[47].start 2356.64159375
transcript.pyannote[47].end 2358.48096875
transcript.pyannote[48].speaker SPEAKER_30
transcript.pyannote[48].start 2359.07159375
transcript.pyannote[48].end 2360.62409375
transcript.pyannote[49].speaker SPEAKER_30
transcript.pyannote[49].start 2361.11346875
transcript.pyannote[49].end 2385.41346875
transcript.pyannote[50].speaker SPEAKER_30
transcript.pyannote[50].start 2386.02096875
transcript.pyannote[50].end 2411.46846875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 2408.19471875
transcript.pyannote[51].end 2408.21159375
transcript.pyannote[52].speaker SPEAKER_09
transcript.pyannote[52].start 2408.21159375
transcript.pyannote[52].end 2418.70784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 2411.46846875
transcript.pyannote[53].end 2411.50221875
transcript.pyannote[54].speaker SPEAKER_30
transcript.pyannote[54].start 2411.56971875
transcript.pyannote[54].end 2413.57784375
transcript.pyannote[55].speaker SPEAKER_29
transcript.pyannote[55].start 2413.57784375
transcript.pyannote[55].end 2413.69596875
transcript.pyannote[56].speaker SPEAKER_29
transcript.pyannote[56].start 2414.53971875
transcript.pyannote[56].end 2414.55659375
transcript.pyannote[57].speaker SPEAKER_30
transcript.pyannote[57].start 2414.55659375
transcript.pyannote[57].end 2414.97846875
transcript.pyannote[58].speaker SPEAKER_29
transcript.pyannote[58].start 2414.97846875
transcript.pyannote[58].end 2415.09659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 2415.09659375
transcript.pyannote[59].end 2415.16409375
transcript.pyannote[60].speaker SPEAKER_29
transcript.pyannote[60].start 2416.17659375
transcript.pyannote[60].end 2416.46346875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 2416.46346875
transcript.pyannote[61].end 2416.51409375
transcript.pyannote[62].speaker SPEAKER_29
transcript.pyannote[62].start 2416.51409375
transcript.pyannote[62].end 2416.73346875
transcript.pyannote[63].speaker SPEAKER_09
transcript.pyannote[63].start 2418.89346875
transcript.pyannote[63].end 2432.86596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 2426.84159375
transcript.pyannote[64].end 2427.36471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 2428.73159375
transcript.pyannote[65].end 2429.52471875
transcript.pyannote[66].speaker SPEAKER_09
transcript.pyannote[66].start 2433.01784375
transcript.pyannote[66].end 2462.32971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 2438.45159375
transcript.pyannote[67].end 2438.75534375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 2438.87346875
transcript.pyannote[68].end 2439.59909375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 2440.08846875
transcript.pyannote[69].end 2440.66221875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 2448.59346875
transcript.pyannote[70].end 2448.67784375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 2459.84909375
transcript.pyannote[71].end 2460.38909375
transcript.pyannote[72].speaker SPEAKER_09
transcript.pyannote[72].start 2462.70096875
transcript.pyannote[72].end 2478.12471875
transcript.pyannote[73].speaker SPEAKER_09
transcript.pyannote[73].start 2478.34409375
transcript.pyannote[73].end 2495.16846875
transcript.pyannote[74].speaker SPEAKER_09
transcript.pyannote[74].start 2495.75909375
transcript.pyannote[74].end 2498.44221875
transcript.pyannote[75].speaker SPEAKER_09
transcript.pyannote[75].start 2498.94846875
transcript.pyannote[75].end 2529.79596875
transcript.pyannote[76].speaker SPEAKER_09
transcript.pyannote[76].start 2530.04909375
transcript.pyannote[76].end 2547.86909375
transcript.pyannote[77].speaker SPEAKER_09
transcript.pyannote[77].start 2547.91971875
transcript.pyannote[77].end 2548.34159375
transcript.pyannote[78].speaker SPEAKER_30
transcript.pyannote[78].start 2548.88159375
transcript.pyannote[78].end 2580.67409375
transcript.pyannote[79].speaker SPEAKER_30
transcript.pyannote[79].start 2580.94409375
transcript.pyannote[79].end 2595.47346875
transcript.pyannote[80].speaker SPEAKER_30
transcript.pyannote[80].start 2595.74346875
transcript.pyannote[80].end 2618.37284375
transcript.pyannote[81].speaker SPEAKER_30
transcript.pyannote[81].start 2618.76096875
transcript.pyannote[81].end 2631.48471875
transcript.pyannote[82].speaker SPEAKER_09
transcript.pyannote[82].start 2629.84784375
transcript.pyannote[82].end 2633.20596875
transcript.pyannote[83].speaker SPEAKER_09
transcript.pyannote[83].start 2633.40846875
transcript.pyannote[83].end 2636.14221875
transcript.pyannote[84].speaker SPEAKER_30
transcript.pyannote[84].start 2633.56034375
transcript.pyannote[84].end 2634.08346875
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 2636.34471875
transcript.pyannote[85].end 2673.46971875
transcript.pyannote[86].speaker SPEAKER_09
transcript.pyannote[86].start 2673.53721875
transcript.pyannote[86].end 2700.04784375
transcript.pyannote[87].speaker SPEAKER_09
transcript.pyannote[87].start 2701.04346875
transcript.pyannote[87].end 2714.22284375
transcript.pyannote[88].speaker SPEAKER_09
transcript.pyannote[88].start 2715.04971875
transcript.pyannote[88].end 2722.76159375
transcript.pyannote[89].speaker SPEAKER_29
transcript.pyannote[89].start 2723.08221875
transcript.pyannote[89].end 2723.48721875
transcript.pyannote[90].speaker SPEAKER_09
transcript.pyannote[90].start 2723.48721875
transcript.pyannote[90].end 2744.32784375
transcript.pyannote[91].speaker SPEAKER_09
transcript.pyannote[91].start 2744.58096875
transcript.pyannote[91].end 2745.57659375
transcript.pyannote[92].speaker SPEAKER_09
transcript.pyannote[92].start 2745.79596875
transcript.pyannote[92].end 2748.64784375
transcript.pyannote[93].speaker SPEAKER_09
transcript.pyannote[93].start 2749.01909375
transcript.pyannote[93].end 2776.59284375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 2789.14784375
transcript.pyannote[94].end 2805.83721875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 2806.71471875
transcript.pyannote[95].end 2808.16596875
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 2823.94409375
transcript.pyannote[96].end 2827.35284375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 2827.50471875
transcript.pyannote[97].end 2829.00659375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 2829.07409375
transcript.pyannote[98].end 2829.36096875
transcript.pyannote[99].speaker SPEAKER_30
transcript.pyannote[99].start 2834.33909375
transcript.pyannote[99].end 2836.68471875
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 2835.23346875
transcript.pyannote[100].end 2835.97596875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 2836.41471875
transcript.pyannote[101].end 2837.34284375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 2838.01784375
transcript.pyannote[102].end 2848.69971875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 2850.50534375
transcript.pyannote[103].end 2910.63096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 2879.02409375
transcript.pyannote[104].end 2879.47971875
transcript.pyannote[105].speaker SPEAKER_30
transcript.pyannote[105].start 2910.10784375
transcript.pyannote[105].end 2917.43159375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 2917.53284375
transcript.pyannote[106].end 2958.52221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 2931.04971875
transcript.pyannote[107].end 2931.84284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 2941.95096875
transcript.pyannote[108].end 2942.33909375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 2958.53909375
transcript.pyannote[109].end 2989.57221875
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 2990.17971875
transcript.pyannote[110].end 3010.53096875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2990.36534375
transcript.pyannote[111].end 2990.65221875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 2990.65221875
transcript.pyannote[112].end 2990.68596875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2990.68596875
transcript.pyannote[113].end 2990.71971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 2990.71971875
transcript.pyannote[114].end 2990.77034375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 3010.85159375
transcript.pyannote[115].end 3029.39721875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 3030.25784375
transcript.pyannote[116].end 3037.80096875
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 3037.93596875
transcript.pyannote[117].end 3037.96971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 3037.96971875
transcript.pyannote[118].end 3038.45909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 3038.94846875
transcript.pyannote[119].end 3040.55159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 3041.22659375
transcript.pyannote[120].end 3044.23034375
transcript.pyannote[121].speaker SPEAKER_19
transcript.pyannote[121].start 3044.63534375
transcript.pyannote[121].end 3061.66221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 3061.66221875
transcript.pyannote[122].end 3073.25534375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 3073.87971875
transcript.pyannote[123].end 3077.17034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 3077.74409375
transcript.pyannote[124].end 3083.02596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 3078.40221875
transcript.pyannote[125].end 3078.77346875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 3083.04284375
transcript.pyannote[126].end 3087.48096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 3087.90284375
transcript.pyannote[127].end 3089.82659375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 3091.14284375
transcript.pyannote[128].end 3101.70659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 3096.88034375
transcript.pyannote[129].end 3097.21784375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 3097.21784375
transcript.pyannote[130].end 3097.23471875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 3102.02721875
transcript.pyannote[131].end 3126.95159375
transcript.pyannote[132].speaker SPEAKER_30
transcript.pyannote[132].start 3127.91346875
transcript.pyannote[132].end 3133.54971875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 3132.60471875
transcript.pyannote[133].end 3133.29659375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 3133.54971875
transcript.pyannote[134].end 3220.15221875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 3158.92971875
transcript.pyannote[135].end 3159.31784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 3191.32971875
transcript.pyannote[136].end 3191.93721875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 3214.24596875
transcript.pyannote[137].end 3214.66784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 3214.66784375
transcript.pyannote[138].end 3214.68471875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 3220.70909375
transcript.pyannote[139].end 3272.41409375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 3270.69284375
transcript.pyannote[140].end 3270.70971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 3270.70971875
transcript.pyannote[141].end 3271.09784375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 3271.26659375
transcript.pyannote[142].end 3271.50284375
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 3272.88659375
transcript.pyannote[143].end 3361.00784375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 3361.75034375
transcript.pyannote[144].end 3372.80346875
transcript.pyannote[145].speaker SPEAKER_30
transcript.pyannote[145].start 3373.17471875
transcript.pyannote[145].end 3398.80784375
transcript.pyannote[146].speaker SPEAKER_30
transcript.pyannote[146].start 3399.22971875
transcript.pyannote[146].end 3402.21659375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 3402.21659375
transcript.pyannote[147].end 3449.68596875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 3441.95721875
transcript.pyannote[148].end 3441.97409375
transcript.pyannote[149].speaker SPEAKER_30
transcript.pyannote[149].start 3441.97409375
transcript.pyannote[149].end 3442.31159375
transcript.pyannote[150].speaker SPEAKER_30
transcript.pyannote[150].start 3449.36534375
transcript.pyannote[150].end 3472.24784375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 3472.53471875
transcript.pyannote[151].end 3596.92034375
transcript.pyannote[152].speaker SPEAKER_22
transcript.pyannote[152].start 3492.76784375
transcript.pyannote[152].end 3492.78471875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 3492.78471875
transcript.pyannote[153].end 3492.80159375
transcript.pyannote[154].speaker SPEAKER_22
transcript.pyannote[154].start 3492.88596875
transcript.pyannote[154].end 3492.93659375
transcript.pyannote[155].speaker SPEAKER_24
transcript.pyannote[155].start 3519.02534375
transcript.pyannote[155].end 3519.46409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 3548.74221875
transcript.pyannote[156].end 3549.01221875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 3579.74159375
transcript.pyannote[157].end 3579.79221875
transcript.pyannote[158].speaker SPEAKER_08
transcript.pyannote[158].start 3579.79221875
transcript.pyannote[158].end 3579.87659375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 3579.87659375
transcript.pyannote[159].end 3579.97784375
transcript.pyannote[160].speaker SPEAKER_08
transcript.pyannote[160].start 3579.97784375
transcript.pyannote[160].end 3580.95659375
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 3597.52784375
transcript.pyannote[161].end 3650.04284375
transcript.pyannote[162].speaker SPEAKER_30
transcript.pyannote[162].start 3649.24971875
transcript.pyannote[162].end 3680.24909375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 3680.21534375
transcript.pyannote[163].end 3694.06971875
transcript.pyannote[164].speaker SPEAKER_30
transcript.pyannote[164].start 3694.05284375
transcript.pyannote[164].end 3696.83721875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 3694.47471875
transcript.pyannote[165].end 3718.30221875
transcript.pyannote[166].speaker SPEAKER_30
transcript.pyannote[166].start 3697.73159375
transcript.pyannote[166].end 3698.10284375
transcript.pyannote[167].speaker SPEAKER_30
transcript.pyannote[167].start 3717.91409375
transcript.pyannote[167].end 3723.55034375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 3720.24284375
transcript.pyannote[168].end 3722.35221875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 3723.78659375
transcript.pyannote[169].end 3738.95721875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 3747.12471875
transcript.pyannote[170].end 3750.31409375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 3750.34784375
transcript.pyannote[171].end 3755.08971875
transcript.pyannote[172].speaker SPEAKER_10
transcript.pyannote[172].start 3766.96971875
transcript.pyannote[172].end 3767.34096875
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 3768.37034375
transcript.pyannote[173].end 3768.38721875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 3768.38721875
transcript.pyannote[174].end 3771.55971875
transcript.pyannote[175].speaker SPEAKER_10
transcript.pyannote[175].start 3771.79596875
transcript.pyannote[175].end 3775.98096875
transcript.pyannote[176].speaker SPEAKER_30
transcript.pyannote[176].start 3776.95971875
transcript.pyannote[176].end 3779.89596875
transcript.pyannote[177].speaker SPEAKER_10
transcript.pyannote[177].start 3778.74846875
transcript.pyannote[177].end 3779.47409375
transcript.pyannote[178].speaker SPEAKER_10
transcript.pyannote[178].start 3780.18284375
transcript.pyannote[178].end 3782.96721875
transcript.pyannote[179].speaker SPEAKER_10
transcript.pyannote[179].start 3783.50721875
transcript.pyannote[179].end 3789.66659375
transcript.pyannote[180].speaker SPEAKER_16
transcript.pyannote[180].start 3789.66659375
transcript.pyannote[180].end 3790.00409375
transcript.pyannote[181].speaker SPEAKER_30
transcript.pyannote[181].start 3790.00409375
transcript.pyannote[181].end 3790.02096875
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 3790.02096875
transcript.pyannote[182].end 3791.53971875
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 3791.69159375
transcript.pyannote[183].end 3796.06221875
transcript.pyannote[184].speaker SPEAKER_30
transcript.pyannote[184].start 3795.62346875
transcript.pyannote[184].end 3796.70346875
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 3796.61909375
transcript.pyannote[185].end 3797.04096875
transcript.pyannote[186].speaker SPEAKER_10
transcript.pyannote[186].start 3797.58096875
transcript.pyannote[186].end 3804.95534375
transcript.pyannote[187].speaker SPEAKER_10
transcript.pyannote[187].start 3805.22534375
transcript.pyannote[187].end 3805.96784375
transcript.pyannote[188].speaker SPEAKER_10
transcript.pyannote[188].start 3806.33909375
transcript.pyannote[188].end 3806.59221875
transcript.pyannote[189].speaker SPEAKER_10
transcript.pyannote[189].start 3806.86221875
transcript.pyannote[189].end 3810.00096875
transcript.pyannote[190].speaker SPEAKER_10
transcript.pyannote[190].start 3810.33846875
transcript.pyannote[190].end 3813.84846875
transcript.pyannote[191].speaker SPEAKER_10
transcript.pyannote[191].start 3814.15221875
transcript.pyannote[191].end 3819.13034375
transcript.pyannote[192].speaker SPEAKER_10
transcript.pyannote[192].start 3819.29909375
transcript.pyannote[192].end 3820.76721875
transcript.pyannote[193].speaker SPEAKER_10
transcript.pyannote[193].start 3820.85159375
transcript.pyannote[193].end 3822.53909375
transcript.pyannote[194].speaker SPEAKER_10
transcript.pyannote[194].start 3822.89346875
transcript.pyannote[194].end 3828.37784375
transcript.pyannote[195].speaker SPEAKER_10
transcript.pyannote[195].start 3828.76596875
transcript.pyannote[195].end 3830.68971875
transcript.pyannote[196].speaker SPEAKER_10
transcript.pyannote[196].start 3831.11159375
transcript.pyannote[196].end 3833.17034375
transcript.pyannote[197].speaker SPEAKER_10
transcript.pyannote[197].start 3833.50784375
transcript.pyannote[197].end 3837.15284375
transcript.pyannote[198].speaker SPEAKER_10
transcript.pyannote[198].start 3837.43971875
transcript.pyannote[198].end 3843.31221875
transcript.pyannote[199].speaker SPEAKER_10
transcript.pyannote[199].start 3843.68346875
transcript.pyannote[199].end 3859.29284375
transcript.pyannote[200].speaker SPEAKER_10
transcript.pyannote[200].start 3859.86659375
transcript.pyannote[200].end 3860.71034375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 3859.96784375
transcript.pyannote[201].end 3861.35159375
transcript.pyannote[202].speaker SPEAKER_10
transcript.pyannote[202].start 3860.84534375
transcript.pyannote[202].end 3862.14471875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 3861.87471875
transcript.pyannote[203].end 3872.18534375
transcript.pyannote[204].speaker SPEAKER_10
transcript.pyannote[204].start 3866.21159375
transcript.pyannote[204].end 3868.47284375
transcript.pyannote[205].speaker SPEAKER_10
transcript.pyannote[205].start 3872.18534375
transcript.pyannote[205].end 3873.83909375
transcript.pyannote[206].speaker SPEAKER_10
transcript.pyannote[206].start 3874.24409375
transcript.pyannote[206].end 3876.13409375
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 3874.31159375
transcript.pyannote[207].end 3877.34909375
transcript.pyannote[208].speaker SPEAKER_10
transcript.pyannote[208].start 3877.31534375
transcript.pyannote[208].end 3880.80846875
transcript.pyannote[209].speaker SPEAKER_10
transcript.pyannote[209].start 3880.99409375
transcript.pyannote[209].end 3882.47909375
transcript.pyannote[210].speaker SPEAKER_10
transcript.pyannote[210].start 3882.73221875
transcript.pyannote[210].end 3884.57159375
transcript.pyannote[211].speaker SPEAKER_10
transcript.pyannote[211].start 3884.62221875
transcript.pyannote[211].end 3887.23784375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 3884.63909375
transcript.pyannote[212].end 3885.26346875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 3887.87909375
transcript.pyannote[213].end 3895.32096875
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 3895.35471875
transcript.pyannote[214].end 3902.96534375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 3895.47284375
transcript.pyannote[215].end 3895.62471875
transcript.pyannote[216].speaker SPEAKER_10
transcript.pyannote[216].start 3895.62471875
transcript.pyannote[216].end 3895.75971875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 3895.75971875
transcript.pyannote[217].end 3895.82721875
transcript.pyannote[218].speaker SPEAKER_10
transcript.pyannote[218].start 3895.82721875
transcript.pyannote[218].end 3895.87784375
transcript.pyannote[219].speaker SPEAKER_10
transcript.pyannote[219].start 3900.38346875
transcript.pyannote[219].end 3911.31846875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 3910.67721875
transcript.pyannote[220].end 3911.35221875
transcript.pyannote[221].speaker SPEAKER_10
transcript.pyannote[221].start 3911.35221875
transcript.pyannote[221].end 3915.06471875
transcript.pyannote[222].speaker SPEAKER_10
transcript.pyannote[222].start 3915.31784375
transcript.pyannote[222].end 3916.16159375
transcript.pyannote[223].speaker SPEAKER_10
transcript.pyannote[223].start 3916.24596875
transcript.pyannote[223].end 3953.13471875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3953.32034375
transcript.pyannote[224].end 3963.24284375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 3963.41159375
transcript.pyannote[225].end 3971.25846875
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 3970.63409375
transcript.pyannote[226].end 3971.74784375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3971.74784375
transcript.pyannote[227].end 3972.01784375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 3972.45659375
transcript.pyannote[228].end 3987.62721875
transcript.pyannote[229].speaker SPEAKER_10
transcript.pyannote[229].start 3974.02596875
transcript.pyannote[229].end 3974.39721875
transcript.pyannote[230].speaker SPEAKER_10
transcript.pyannote[230].start 3976.06784375
transcript.pyannote[230].end 3976.97909375
transcript.pyannote[231].speaker SPEAKER_10
transcript.pyannote[231].start 3987.62721875
transcript.pyannote[231].end 3989.97284375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 3990.14159375
transcript.pyannote[232].end 3993.19596875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 3991.64346875
transcript.pyannote[233].end 3991.98096875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 3991.98096875
transcript.pyannote[234].end 3992.09909375
transcript.pyannote[235].speaker SPEAKER_10
transcript.pyannote[235].start 3993.07784375
transcript.pyannote[235].end 3994.54596875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3993.56721875
transcript.pyannote[236].end 3996.19971875
transcript.pyannote[237].speaker SPEAKER_10
transcript.pyannote[237].start 3995.76096875
transcript.pyannote[237].end 4001.98784375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3998.98409375
transcript.pyannote[238].end 3999.10221875
transcript.pyannote[239].speaker SPEAKER_29
transcript.pyannote[239].start 3999.10221875
transcript.pyannote[239].end 3999.16971875
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 3999.16971875
transcript.pyannote[240].end 3999.25409375
transcript.pyannote[241].speaker SPEAKER_29
transcript.pyannote[241].start 4001.56596875
transcript.pyannote[241].end 4001.59971875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 4001.59971875
transcript.pyannote[242].end 4001.65034375
transcript.pyannote[243].speaker SPEAKER_29
transcript.pyannote[243].start 4001.65034375
transcript.pyannote[243].end 4004.89034375
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 4004.02971875
transcript.pyannote[244].end 4006.45971875
transcript.pyannote[245].speaker SPEAKER_29
transcript.pyannote[245].start 4005.71721875
transcript.pyannote[245].end 4007.23596875
transcript.pyannote[246].speaker SPEAKER_10
transcript.pyannote[246].start 4007.13471875
transcript.pyannote[246].end 4020.06096875
transcript.pyannote[247].speaker SPEAKER_30
transcript.pyannote[247].start 4007.23596875
transcript.pyannote[247].end 4007.28659375
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 4020.12846875
transcript.pyannote[248].end 4038.96096875
transcript.pyannote[249].speaker SPEAKER_30
transcript.pyannote[249].start 4039.24784375
transcript.pyannote[249].end 4050.16596875
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 4049.28846875
transcript.pyannote[250].end 4049.49096875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 4049.49096875
transcript.pyannote[251].end 4052.71409375
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 4052.61284375
transcript.pyannote[252].end 4064.40846875
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 4055.54909375
transcript.pyannote[253].end 4056.13971875
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 4061.59034375
transcript.pyannote[254].end 4066.99034375
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 4065.35346875
transcript.pyannote[255].end 4068.03659375
transcript.pyannote[256].speaker SPEAKER_10
transcript.pyannote[256].start 4067.29409375
transcript.pyannote[256].end 4070.26409375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 4068.50909375
transcript.pyannote[257].end 4073.03159375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 4073.03159375
transcript.pyannote[258].end 4082.39721875
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 4073.11596875
transcript.pyannote[259].end 4073.13284375
transcript.pyannote[260].speaker SPEAKER_10
transcript.pyannote[260].start 4082.46471875
transcript.pyannote[260].end 4098.10784375
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 4098.36096875
transcript.pyannote[261].end 4111.50659375
transcript.pyannote[262].speaker SPEAKER_10
transcript.pyannote[262].start 4111.75971875
transcript.pyannote[262].end 4130.57534375
transcript.pyannote[263].speaker SPEAKER_10
transcript.pyannote[263].start 4130.87909375
transcript.pyannote[263].end 4132.68471875
transcript.pyannote[264].speaker SPEAKER_10
transcript.pyannote[264].start 4133.57909375
transcript.pyannote[264].end 4137.25784375
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 4137.79784375
transcript.pyannote[265].end 4142.75909375
transcript.pyannote[266].speaker SPEAKER_10
transcript.pyannote[266].start 4142.84346875
transcript.pyannote[266].end 4143.72096875
transcript.pyannote[267].speaker SPEAKER_10
transcript.pyannote[267].start 4145.02034375
transcript.pyannote[267].end 4146.20159375
transcript.pyannote[268].speaker SPEAKER_10
transcript.pyannote[268].start 4146.38721875
transcript.pyannote[268].end 4148.31096875
transcript.pyannote[269].speaker SPEAKER_10
transcript.pyannote[269].start 4148.59784375
transcript.pyannote[269].end 4154.84159375
transcript.pyannote[270].speaker SPEAKER_30
transcript.pyannote[270].start 4155.36471875
transcript.pyannote[270].end 4169.16846875
transcript.pyannote[271].speaker SPEAKER_10
transcript.pyannote[271].start 4166.77221875
transcript.pyannote[271].end 4195.94909375
transcript.pyannote[272].speaker SPEAKER_30
transcript.pyannote[272].start 4194.17721875
transcript.pyannote[272].end 4204.67346875
transcript.pyannote[273].speaker SPEAKER_10
transcript.pyannote[273].start 4201.36596875
transcript.pyannote[273].end 4208.60534375
transcript.pyannote[274].speaker SPEAKER_30
transcript.pyannote[274].start 4208.60534375
transcript.pyannote[274].end 4211.47409375
transcript.pyannote[275].speaker SPEAKER_10
transcript.pyannote[275].start 4211.05221875
transcript.pyannote[275].end 4213.43159375
transcript.pyannote[276].speaker SPEAKER_30
transcript.pyannote[276].start 4212.33471875
transcript.pyannote[276].end 4214.71409375
transcript.pyannote[277].speaker SPEAKER_10
transcript.pyannote[277].start 4214.59596875
transcript.pyannote[277].end 4217.36346875
transcript.pyannote[278].speaker SPEAKER_30
transcript.pyannote[278].start 4217.36346875
transcript.pyannote[278].end 4217.76846875
transcript.pyannote[279].speaker SPEAKER_30
transcript.pyannote[279].start 4218.15659375
transcript.pyannote[279].end 4218.62909375
transcript.pyannote[280].speaker SPEAKER_10
transcript.pyannote[280].start 4218.62909375
transcript.pyannote[280].end 4218.67971875
transcript.pyannote[281].speaker SPEAKER_30
transcript.pyannote[281].start 4218.67971875
transcript.pyannote[281].end 4218.84846875
transcript.pyannote[282].speaker SPEAKER_10
transcript.pyannote[282].start 4219.16909375
transcript.pyannote[282].end 4220.65409375
transcript.pyannote[283].speaker SPEAKER_30
transcript.pyannote[283].start 4219.25346875
transcript.pyannote[283].end 4222.66221875
transcript.pyannote[284].speaker SPEAKER_10
transcript.pyannote[284].start 4221.10971875
transcript.pyannote[284].end 4226.98221875
transcript.pyannote[285].speaker SPEAKER_10
transcript.pyannote[285].start 4227.15096875
transcript.pyannote[285].end 4228.95659375
transcript.pyannote[286].speaker SPEAKER_30
transcript.pyannote[286].start 4227.31971875
transcript.pyannote[286].end 4227.70784375
transcript.pyannote[287].speaker SPEAKER_30
transcript.pyannote[287].start 4229.31096875
transcript.pyannote[287].end 4232.90534375
transcript.pyannote[288].speaker SPEAKER_30
transcript.pyannote[288].start 4233.02346875
transcript.pyannote[288].end 4233.59721875
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 4233.07409375
transcript.pyannote[289].end 4235.90909375
transcript.pyannote[290].speaker SPEAKER_30
transcript.pyannote[290].start 4235.03159375
transcript.pyannote[290].end 4237.05659375
transcript.pyannote[291].speaker SPEAKER_10
transcript.pyannote[291].start 4236.34784375
transcript.pyannote[291].end 4238.05221875
transcript.pyannote[292].speaker SPEAKER_30
transcript.pyannote[292].start 4238.52471875
transcript.pyannote[292].end 4244.98784375
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 4238.62596875
transcript.pyannote[293].end 4240.49909375
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 4243.18221875
transcript.pyannote[294].end 4247.78909375
transcript.pyannote[295].speaker SPEAKER_30
transcript.pyannote[295].start 4245.47721875
transcript.pyannote[295].end 4253.05409375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 4251.72096875
transcript.pyannote[296].end 4257.42471875
transcript.pyannote[297].speaker SPEAKER_30
transcript.pyannote[297].start 4254.35346875
transcript.pyannote[297].end 4255.04534375
transcript.pyannote[298].speaker SPEAKER_30
transcript.pyannote[298].start 4256.49659375
transcript.pyannote[298].end 4258.94346875
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 4257.81284375
transcript.pyannote[299].end 4259.01096875
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 4259.09534375
transcript.pyannote[300].end 4260.44534375
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 4260.78284375
transcript.pyannote[301].end 4262.82471875
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 4264.74846875
transcript.pyannote[302].end 4267.44846875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 4264.78221875
transcript.pyannote[303].end 4265.08596875
transcript.pyannote[304].speaker SPEAKER_22
transcript.pyannote[304].start 4265.08596875
transcript.pyannote[304].end 4265.38971875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 4265.38971875
transcript.pyannote[305].end 4265.54159375
transcript.pyannote[306].speaker SPEAKER_30
transcript.pyannote[306].start 4265.54159375
transcript.pyannote[306].end 4266.35159375
transcript.pyannote[307].speaker SPEAKER_30
transcript.pyannote[307].start 4267.65096875
transcript.pyannote[307].end 4272.42659375
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 4269.25409375
transcript.pyannote[308].end 4275.44721875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 4272.42659375
transcript.pyannote[309].end 4272.44346875
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 4275.75096875
transcript.pyannote[310].end 4278.01221875
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 4278.72096875
transcript.pyannote[311].end 4293.68909375
transcript.pyannote[312].speaker SPEAKER_25
transcript.pyannote[312].start 4292.59221875
transcript.pyannote[312].end 4293.21659375
transcript.pyannote[313].speaker SPEAKER_25
transcript.pyannote[313].start 4294.51596875
transcript.pyannote[313].end 4312.06596875
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 4303.54409375
transcript.pyannote[314].end 4303.81409375
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 4305.23159375
transcript.pyannote[315].end 4307.49284375
transcript.pyannote[316].speaker SPEAKER_10
transcript.pyannote[316].start 4308.52221875
transcript.pyannote[316].end 4309.68659375
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 4311.77909375
transcript.pyannote[317].end 4323.69284375
transcript.pyannote[318].speaker SPEAKER_25
transcript.pyannote[318].start 4317.44909375
transcript.pyannote[318].end 4317.98909375
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 4323.81096875
transcript.pyannote[319].end 4323.94596875
transcript.pyannote[320].speaker SPEAKER_08
transcript.pyannote[320].start 4323.94596875
transcript.pyannote[320].end 4324.23284375
transcript.pyannote[321].speaker SPEAKER_10
transcript.pyannote[321].start 4323.96284375
transcript.pyannote[321].end 4324.21596875
transcript.pyannote[322].speaker SPEAKER_10
transcript.pyannote[322].start 4324.23284375
transcript.pyannote[322].end 4324.30034375
transcript.pyannote[323].speaker SPEAKER_08
transcript.pyannote[323].start 4324.30034375
transcript.pyannote[323].end 4350.20346875
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 4344.60096875
transcript.pyannote[324].end 4344.90471875
transcript.pyannote[325].speaker SPEAKER_10
transcript.pyannote[325].start 4345.22534375
transcript.pyannote[325].end 4346.30534375
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 4346.50784375
transcript.pyannote[326].end 4347.33471875
transcript.pyannote[327].speaker SPEAKER_10
transcript.pyannote[327].start 4348.38096875
transcript.pyannote[327].end 4370.41971875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 4358.26971875
transcript.pyannote[328].end 4359.50159375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 4360.36221875
transcript.pyannote[329].end 4360.48034375
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 4360.48034375
transcript.pyannote[330].end 4362.87659375
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 4362.87659375
transcript.pyannote[331].end 4362.89346875
transcript.pyannote[332].speaker SPEAKER_10
transcript.pyannote[332].start 4370.60534375
transcript.pyannote[332].end 4372.83284375
transcript.pyannote[333].speaker SPEAKER_10
transcript.pyannote[333].start 4373.11971875
transcript.pyannote[333].end 4389.74159375
transcript.pyannote[334].speaker SPEAKER_10
transcript.pyannote[334].start 4389.82596875
transcript.pyannote[334].end 4391.51346875
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 4391.51346875
transcript.pyannote[335].end 4391.56409375
transcript.pyannote[336].speaker SPEAKER_10
transcript.pyannote[336].start 4391.56409375
transcript.pyannote[336].end 4391.58096875
transcript.pyannote[337].speaker SPEAKER_08
transcript.pyannote[337].start 4391.58096875
transcript.pyannote[337].end 4391.59784375
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 4391.59784375
transcript.pyannote[338].end 4394.39909375
transcript.pyannote[339].speaker SPEAKER_08
transcript.pyannote[339].start 4391.64846875
transcript.pyannote[339].end 4392.22221875
transcript.pyannote[340].speaker SPEAKER_08
transcript.pyannote[340].start 4393.43721875
transcript.pyannote[340].end 4394.26409375
transcript.pyannote[341].speaker SPEAKER_08
transcript.pyannote[341].start 4394.87159375
transcript.pyannote[341].end 4400.01846875
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 4398.34784375
transcript.pyannote[342].end 4402.43159375
transcript.pyannote[343].speaker SPEAKER_08
transcript.pyannote[343].start 4401.25034375
transcript.pyannote[343].end 4408.65846875
transcript.pyannote[344].speaker SPEAKER_10
transcript.pyannote[344].start 4405.26659375
transcript.pyannote[344].end 4405.89096875
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 4407.62909375
transcript.pyannote[345].end 4408.70909375
transcript.pyannote[346].speaker SPEAKER_08
transcript.pyannote[346].start 4408.70909375
transcript.pyannote[346].end 4408.75971875
transcript.pyannote[347].speaker SPEAKER_10
transcript.pyannote[347].start 4409.04659375
transcript.pyannote[347].end 4411.10534375
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 4411.67909375
transcript.pyannote[348].end 4412.23596875
transcript.pyannote[349].speaker SPEAKER_30
transcript.pyannote[349].start 4412.65784375
transcript.pyannote[349].end 4413.18096875
transcript.pyannote[350].speaker SPEAKER_10
transcript.pyannote[350].start 4413.18096875
transcript.pyannote[350].end 4413.19784375
transcript.pyannote[351].speaker SPEAKER_10
transcript.pyannote[351].start 4413.45096875
transcript.pyannote[351].end 4414.63221875
transcript.pyannote[352].speaker SPEAKER_10
transcript.pyannote[352].start 4416.11721875
transcript.pyannote[352].end 4416.96096875
transcript.pyannote[353].speaker SPEAKER_08
transcript.pyannote[353].start 4417.63596875
transcript.pyannote[353].end 4421.02784375
transcript.pyannote[354].speaker SPEAKER_10
transcript.pyannote[354].start 4419.00284375
transcript.pyannote[354].end 4419.03659375
transcript.pyannote[355].speaker SPEAKER_10
transcript.pyannote[355].start 4419.05346875
transcript.pyannote[355].end 4419.18846875
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 4420.03221875
transcript.pyannote[356].end 4432.08096875
transcript.pyannote[357].speaker SPEAKER_10
transcript.pyannote[357].start 4432.26659375
transcript.pyannote[357].end 4433.61659375
transcript.pyannote[358].speaker SPEAKER_10
transcript.pyannote[358].start 4433.88659375
transcript.pyannote[358].end 4437.58221875
transcript.pyannote[359].speaker SPEAKER_10
transcript.pyannote[359].start 4437.75096875
transcript.pyannote[359].end 4443.50534375
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 4441.91909375
transcript.pyannote[360].end 4441.93596875
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 4442.05409375
transcript.pyannote[361].end 4442.10471875
transcript.pyannote[362].speaker SPEAKER_10
transcript.pyannote[362].start 4444.78784375
transcript.pyannote[362].end 4451.30159375
transcript.pyannote[363].speaker SPEAKER_25
transcript.pyannote[363].start 4446.74534375
transcript.pyannote[363].end 4453.83284375
transcript.pyannote[364].speaker SPEAKER_24
transcript.pyannote[364].start 4452.14534375
transcript.pyannote[364].end 4452.16221875
transcript.pyannote[365].speaker SPEAKER_10
transcript.pyannote[365].start 4452.16221875
transcript.pyannote[365].end 4453.44471875
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 4453.83284375
transcript.pyannote[366].end 4453.86659375
transcript.pyannote[367].speaker SPEAKER_25
transcript.pyannote[367].start 4453.86659375
transcript.pyannote[367].end 4454.03534375
transcript.pyannote[368].speaker SPEAKER_10
transcript.pyannote[368].start 4454.03534375
transcript.pyannote[368].end 4474.96034375
transcript.pyannote[369].speaker SPEAKER_25
transcript.pyannote[369].start 4454.06909375
transcript.pyannote[369].end 4456.81971875
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 4475.14596875
transcript.pyannote[370].end 4483.51596875
transcript.pyannote[371].speaker SPEAKER_25
transcript.pyannote[371].start 4478.68971875
transcript.pyannote[371].end 4479.29721875
transcript.pyannote[372].speaker SPEAKER_25
transcript.pyannote[372].start 4481.99721875
transcript.pyannote[372].end 4485.60846875
transcript.pyannote[373].speaker SPEAKER_10
transcript.pyannote[373].start 4484.78159375
transcript.pyannote[373].end 4486.80659375
transcript.pyannote[374].speaker SPEAKER_30
transcript.pyannote[374].start 4486.48596875
transcript.pyannote[374].end 4497.89346875
transcript.pyannote[375].speaker SPEAKER_10
transcript.pyannote[375].start 4493.59034375
transcript.pyannote[375].end 4494.92346875
transcript.pyannote[376].speaker SPEAKER_10
transcript.pyannote[376].start 4496.10471875
transcript.pyannote[376].end 4496.12159375
transcript.pyannote[377].speaker SPEAKER_08
transcript.pyannote[377].start 4496.12159375
transcript.pyannote[377].end 4497.06659375
transcript.pyannote[378].speaker SPEAKER_10
transcript.pyannote[378].start 4497.06659375
transcript.pyannote[378].end 4497.25221875
transcript.pyannote[379].speaker SPEAKER_08
transcript.pyannote[379].start 4497.25221875
transcript.pyannote[379].end 4497.47159375
transcript.pyannote[380].speaker SPEAKER_10
transcript.pyannote[380].start 4498.01159375
transcript.pyannote[380].end 4498.06221875
transcript.pyannote[381].speaker SPEAKER_08
transcript.pyannote[381].start 4498.06221875
transcript.pyannote[381].end 4498.29846875
transcript.pyannote[382].speaker SPEAKER_10
transcript.pyannote[382].start 4498.29846875
transcript.pyannote[382].end 4501.36971875
transcript.pyannote[383].speaker SPEAKER_08
transcript.pyannote[383].start 4498.43346875
transcript.pyannote[383].end 4504.91346875
transcript.pyannote[384].speaker SPEAKER_10
transcript.pyannote[384].start 4504.91346875
transcript.pyannote[384].end 4519.66221875
transcript.pyannote[385].speaker SPEAKER_10
transcript.pyannote[385].start 4520.06721875
transcript.pyannote[385].end 4528.48784375
transcript.pyannote[386].speaker SPEAKER_10
transcript.pyannote[386].start 4528.90971875
transcript.pyannote[386].end 4545.00846875
transcript.pyannote[387].speaker SPEAKER_08
transcript.pyannote[387].start 4541.90346875
transcript.pyannote[387].end 4545.93659375
transcript.pyannote[388].speaker SPEAKER_10
transcript.pyannote[388].start 4545.93659375
transcript.pyannote[388].end 4553.85096875
transcript.pyannote[389].speaker SPEAKER_10
transcript.pyannote[389].start 4554.57659375
transcript.pyannote[389].end 4565.12346875
transcript.pyannote[390].speaker SPEAKER_10
transcript.pyannote[390].start 4565.56221875
transcript.pyannote[390].end 4571.95784375
transcript.pyannote[391].speaker SPEAKER_10
transcript.pyannote[391].start 4572.43034375
transcript.pyannote[391].end 4577.05409375
transcript.pyannote[392].speaker SPEAKER_30
transcript.pyannote[392].start 4576.12596875
transcript.pyannote[392].end 4578.96096875
transcript.pyannote[393].speaker SPEAKER_10
transcript.pyannote[393].start 4578.08346875
transcript.pyannote[393].end 4587.04409375
transcript.pyannote[394].speaker SPEAKER_25
transcript.pyannote[394].start 4586.48721875
transcript.pyannote[394].end 4598.53596875
transcript.pyannote[395].speaker SPEAKER_10
transcript.pyannote[395].start 4593.33846875
transcript.pyannote[395].end 4604.91471875
transcript.pyannote[396].speaker SPEAKER_25
transcript.pyannote[396].start 4599.21096875
transcript.pyannote[396].end 4599.97034375
transcript.pyannote[397].speaker SPEAKER_29
transcript.pyannote[397].start 4599.97034375
transcript.pyannote[397].end 4600.20659375
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 4605.16784375
transcript.pyannote[398].end 4605.87659375
transcript.pyannote[399].speaker SPEAKER_10
transcript.pyannote[399].start 4606.60221875
transcript.pyannote[399].end 4620.47346875
transcript.pyannote[400].speaker SPEAKER_30
transcript.pyannote[400].start 4614.21284375
transcript.pyannote[400].end 4614.53346875
transcript.pyannote[401].speaker SPEAKER_30
transcript.pyannote[401].start 4615.63034375
transcript.pyannote[401].end 4617.43596875
transcript.pyannote[402].speaker SPEAKER_30
transcript.pyannote[402].start 4618.78596875
transcript.pyannote[402].end 4628.97846875
transcript.pyannote[403].speaker SPEAKER_10
transcript.pyannote[403].start 4621.26659375
transcript.pyannote[403].end 4621.53659375
transcript.pyannote[404].speaker SPEAKER_10
transcript.pyannote[404].start 4622.73471875
transcript.pyannote[404].end 4625.67096875
transcript.pyannote[405].speaker SPEAKER_10
transcript.pyannote[405].start 4628.67471875
transcript.pyannote[405].end 4635.40784375
transcript.pyannote[406].speaker SPEAKER_30
transcript.pyannote[406].start 4630.93596875
transcript.pyannote[406].end 4631.96534375
transcript.pyannote[407].speaker SPEAKER_30
transcript.pyannote[407].start 4634.31096875
transcript.pyannote[407].end 4635.00284375
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 4635.00284375
transcript.pyannote[408].end 4635.10409375
transcript.pyannote[409].speaker SPEAKER_10
transcript.pyannote[409].start 4635.86346875
transcript.pyannote[409].end 4648.09784375
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 4635.89721875
transcript.pyannote[410].end 4637.02784375
transcript.pyannote[411].speaker SPEAKER_29
transcript.pyannote[411].start 4637.02784375
transcript.pyannote[411].end 4638.81659375
transcript.pyannote[412].speaker SPEAKER_29
transcript.pyannote[412].start 4639.42409375
transcript.pyannote[412].end 4641.29721875
transcript.pyannote[413].speaker SPEAKER_29
transcript.pyannote[413].start 4643.38971875
transcript.pyannote[413].end 4643.42346875
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 4643.42346875
transcript.pyannote[414].end 4643.44034375
transcript.pyannote[415].speaker SPEAKER_29
transcript.pyannote[415].start 4643.44034375
transcript.pyannote[415].end 4643.45721875
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 4643.45721875
transcript.pyannote[416].end 4643.52471875
transcript.pyannote[417].speaker SPEAKER_29
transcript.pyannote[417].start 4643.52471875
transcript.pyannote[417].end 4643.54159375
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 4643.54159375
transcript.pyannote[418].end 4643.65971875
transcript.pyannote[419].speaker SPEAKER_29
transcript.pyannote[419].start 4643.65971875
transcript.pyannote[419].end 4644.48659375
transcript.pyannote[420].speaker SPEAKER_08
transcript.pyannote[420].start 4644.48659375
transcript.pyannote[420].end 4644.97596875
transcript.pyannote[421].speaker SPEAKER_24
transcript.pyannote[421].start 4644.97596875
transcript.pyannote[421].end 4645.02659375
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 4645.02659375
transcript.pyannote[422].end 4652.75534375
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 4648.89096875
transcript.pyannote[423].end 4650.44346875
transcript.pyannote[424].speaker SPEAKER_30
transcript.pyannote[424].start 4650.44346875
transcript.pyannote[424].end 4650.79784375
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 4650.79784375
transcript.pyannote[425].end 4650.91596875
transcript.pyannote[426].speaker SPEAKER_30
transcript.pyannote[426].start 4650.91596875
transcript.pyannote[426].end 4651.05096875
transcript.pyannote[427].speaker SPEAKER_01
transcript.pyannote[427].start 4651.05096875
transcript.pyannote[427].end 4651.06784375
transcript.pyannote[428].speaker SPEAKER_30
transcript.pyannote[428].start 4651.06784375
transcript.pyannote[428].end 4651.87784375
transcript.pyannote[429].speaker SPEAKER_01
transcript.pyannote[429].start 4651.87784375
transcript.pyannote[429].end 4651.92846875
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 4652.85659375
transcript.pyannote[430].end 4660.78784375
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 4652.90721875
transcript.pyannote[431].end 4652.94096875
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 4652.94096875
transcript.pyannote[432].end 4655.37096875
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 4655.70846875
transcript.pyannote[433].end 4656.40034375
transcript.pyannote[434].speaker SPEAKER_10
transcript.pyannote[434].start 4656.88971875
transcript.pyannote[434].end 4666.20471875
transcript.pyannote[435].speaker SPEAKER_30
transcript.pyannote[435].start 4665.17534375
transcript.pyannote[435].end 4668.83721875
transcript.pyannote[436].speaker SPEAKER_10
transcript.pyannote[436].start 4666.72784375
transcript.pyannote[436].end 4667.95971875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 4668.83721875
transcript.pyannote[437].end 4670.03534375
transcript.pyannote[438].speaker SPEAKER_25
transcript.pyannote[438].start 4670.03534375
transcript.pyannote[438].end 4670.65971875
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 4671.16596875
transcript.pyannote[439].end 4671.18284375
transcript.pyannote[440].speaker SPEAKER_25
transcript.pyannote[440].start 4671.18284375
transcript.pyannote[440].end 4671.84096875
transcript.pyannote[441].speaker SPEAKER_25
transcript.pyannote[441].start 4672.39784375
transcript.pyannote[441].end 4673.51159375
transcript.pyannote[442].speaker SPEAKER_25
transcript.pyannote[442].start 4674.27096875
transcript.pyannote[442].end 4682.33721875
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 4676.86971875
transcript.pyannote[443].end 4676.90346875
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 4676.90346875
transcript.pyannote[444].end 4677.83159375
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 4677.83159375
transcript.pyannote[445].end 4677.91596875
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 4677.91596875
transcript.pyannote[446].end 4679.55284375
transcript.pyannote[447].speaker SPEAKER_18
transcript.pyannote[447].start 4681.32471875
transcript.pyannote[447].end 4682.30346875
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 4688.61471875
transcript.pyannote[448].end 4692.34409375
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 4692.81659375
transcript.pyannote[449].end 4695.22971875
transcript.pyannote[450].speaker SPEAKER_03
transcript.pyannote[450].start 4695.65159375
transcript.pyannote[450].end 4697.87909375
transcript.pyannote[451].speaker SPEAKER_17
transcript.pyannote[451].start 4714.04534375
transcript.pyannote[451].end 4716.94784375
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 4717.04909375
transcript.pyannote[452].end 4718.63534375
transcript.pyannote[453].speaker SPEAKER_17
transcript.pyannote[453].start 4724.60909375
transcript.pyannote[453].end 4726.17846875
transcript.pyannote[454].speaker SPEAKER_30
transcript.pyannote[454].start 4724.82846875
transcript.pyannote[454].end 4724.84534375
transcript.pyannote[455].speaker SPEAKER_03
transcript.pyannote[455].start 4724.84534375
transcript.pyannote[455].end 4724.94659375
transcript.pyannote[456].speaker SPEAKER_30
transcript.pyannote[456].start 4724.94659375
transcript.pyannote[456].end 4724.98034375
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 4724.98034375
transcript.pyannote[457].end 4725.08159375
transcript.pyannote[458].speaker SPEAKER_30
transcript.pyannote[458].start 4725.08159375
transcript.pyannote[458].end 4725.11534375
transcript.pyannote[459].speaker SPEAKER_03
transcript.pyannote[459].start 4725.11534375
transcript.pyannote[459].end 4725.65534375
transcript.pyannote[460].speaker SPEAKER_30
transcript.pyannote[460].start 4725.65534375
transcript.pyannote[460].end 4726.09409375
transcript.pyannote[461].speaker SPEAKER_03
transcript.pyannote[461].start 4726.17846875
transcript.pyannote[461].end 4726.19534375
transcript.pyannote[462].speaker SPEAKER_17
transcript.pyannote[462].start 4726.19534375
transcript.pyannote[462].end 4726.90409375
transcript.pyannote[463].speaker SPEAKER_17
transcript.pyannote[463].start 4728.00096875
transcript.pyannote[463].end 4730.51534375
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 4731.61221875
transcript.pyannote[464].end 4735.18971875
transcript.pyannote[465].speaker SPEAKER_17
transcript.pyannote[465].start 4735.39221875
transcript.pyannote[465].end 4736.40471875
transcript.pyannote[466].speaker SPEAKER_17
transcript.pyannote[466].start 4737.36659375
transcript.pyannote[466].end 4742.96909375
transcript.pyannote[467].speaker SPEAKER_17
transcript.pyannote[467].start 4744.23471875
transcript.pyannote[467].end 4748.84159375
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 4749.76971875
transcript.pyannote[468].end 4751.17034375
transcript.pyannote[469].speaker SPEAKER_17
transcript.pyannote[469].start 4751.37284375
transcript.pyannote[469].end 4751.92971875
transcript.pyannote[470].speaker SPEAKER_17
transcript.pyannote[470].start 4752.52034375
transcript.pyannote[470].end 4753.34721875
transcript.pyannote[471].speaker SPEAKER_17
transcript.pyannote[471].start 4754.84909375
transcript.pyannote[471].end 4756.70534375
transcript.pyannote[472].speaker SPEAKER_17
transcript.pyannote[472].start 4758.00471875
transcript.pyannote[472].end 4758.76409375
transcript.pyannote[473].speaker SPEAKER_17
transcript.pyannote[473].start 4759.25346875
transcript.pyannote[473].end 4763.15159375
transcript.pyannote[474].speaker SPEAKER_17
transcript.pyannote[474].start 4764.18096875
transcript.pyannote[474].end 4765.14284375
transcript.pyannote[475].speaker SPEAKER_17
transcript.pyannote[475].start 4766.22284375
transcript.pyannote[475].end 4768.51784375
transcript.pyannote[476].speaker SPEAKER_17
transcript.pyannote[476].start 4770.15471875
transcript.pyannote[476].end 4775.80784375
transcript.pyannote[477].speaker SPEAKER_17
transcript.pyannote[477].start 4776.14534375
transcript.pyannote[477].end 4778.71034375
transcript.pyannote[478].speaker SPEAKER_17
transcript.pyannote[478].start 4779.92534375
transcript.pyannote[478].end 4782.94596875
transcript.pyannote[479].speaker SPEAKER_17
transcript.pyannote[479].start 4784.75159375
transcript.pyannote[479].end 4786.74284375
transcript.pyannote[480].speaker SPEAKER_17
transcript.pyannote[480].start 4786.97909375
transcript.pyannote[480].end 4787.02971875
transcript.pyannote[481].speaker SPEAKER_30
transcript.pyannote[481].start 4787.02971875
transcript.pyannote[481].end 4792.10909375
transcript.pyannote[482].speaker SPEAKER_17
transcript.pyannote[482].start 4787.43471875
transcript.pyannote[482].end 4787.80596875
transcript.pyannote[483].speaker SPEAKER_17
transcript.pyannote[483].start 4788.75096875
transcript.pyannote[483].end 4789.20659375
transcript.pyannote[484].speaker SPEAKER_17
transcript.pyannote[484].start 4789.72971875
transcript.pyannote[484].end 4796.17596875
transcript.pyannote[485].speaker SPEAKER_30
transcript.pyannote[485].start 4793.91471875
transcript.pyannote[485].end 4795.73721875
transcript.pyannote[486].speaker SPEAKER_17
transcript.pyannote[486].start 4796.19284375
transcript.pyannote[486].end 4796.51346875
transcript.pyannote[487].speaker SPEAKER_17
transcript.pyannote[487].start 4797.00284375
transcript.pyannote[487].end 4797.99846875
transcript.pyannote[488].speaker SPEAKER_17
transcript.pyannote[488].start 4798.80846875
transcript.pyannote[488].end 4801.20471875
transcript.pyannote[489].speaker SPEAKER_17
transcript.pyannote[489].start 4801.39034375
transcript.pyannote[489].end 4802.21721875
transcript.pyannote[490].speaker SPEAKER_17
transcript.pyannote[490].start 4802.70659375
transcript.pyannote[490].end 4806.04784375
transcript.pyannote[491].speaker SPEAKER_29
transcript.pyannote[491].start 4806.04784375
transcript.pyannote[491].end 4806.52034375
transcript.pyannote[492].speaker SPEAKER_29
transcript.pyannote[492].start 4806.70596875
transcript.pyannote[492].end 4818.50159375
transcript.pyannote[493].speaker SPEAKER_17
transcript.pyannote[493].start 4809.65909375
transcript.pyannote[493].end 4810.13159375
transcript.pyannote[494].speaker SPEAKER_15
transcript.pyannote[494].start 4810.13159375
transcript.pyannote[494].end 4810.40159375
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 4810.85721875
transcript.pyannote[495].end 4811.11034375
transcript.pyannote[496].speaker SPEAKER_17
transcript.pyannote[496].start 4812.89909375
transcript.pyannote[496].end 4825.79159375
transcript.pyannote[497].speaker SPEAKER_17
transcript.pyannote[497].start 4826.48346875
transcript.pyannote[497].end 4826.83784375
transcript.pyannote[498].speaker SPEAKER_17
transcript.pyannote[498].start 4827.32721875
transcript.pyannote[498].end 4828.72784375
transcript.pyannote[499].speaker SPEAKER_17
transcript.pyannote[499].start 4830.14534375
transcript.pyannote[499].end 4831.05659375
transcript.pyannote[500].speaker SPEAKER_17
transcript.pyannote[500].start 4831.36034375
transcript.pyannote[500].end 4842.81846875
transcript.pyannote[501].speaker SPEAKER_29
transcript.pyannote[501].start 4834.12784375
transcript.pyannote[501].end 4834.27971875
transcript.pyannote[502].speaker SPEAKER_17
transcript.pyannote[502].start 4843.45971875
transcript.pyannote[502].end 4846.09221875
transcript.pyannote[503].speaker SPEAKER_17
transcript.pyannote[503].start 4846.61534375
transcript.pyannote[503].end 4849.16346875
transcript.pyannote[504].speaker SPEAKER_30
transcript.pyannote[504].start 4849.16346875
transcript.pyannote[504].end 4850.76659375
transcript.pyannote[505].speaker SPEAKER_30
transcript.pyannote[505].start 4851.44159375
transcript.pyannote[505].end 4852.30221875
transcript.pyannote[506].speaker SPEAKER_30
transcript.pyannote[506].start 4852.62284375
transcript.pyannote[506].end 4853.06159375
transcript.pyannote[507].speaker SPEAKER_17
transcript.pyannote[507].start 4852.65659375
transcript.pyannote[507].end 4854.71534375
transcript.pyannote[508].speaker SPEAKER_30
transcript.pyannote[508].start 4853.63534375
transcript.pyannote[508].end 4854.64784375
transcript.pyannote[509].speaker SPEAKER_17
transcript.pyannote[509].start 4854.81659375
transcript.pyannote[509].end 4857.70221875
transcript.pyannote[510].speaker SPEAKER_18
transcript.pyannote[510].start 4855.28909375
transcript.pyannote[510].end 4855.30596875
transcript.pyannote[511].speaker SPEAKER_30
transcript.pyannote[511].start 4855.30596875
transcript.pyannote[511].end 4855.33971875
transcript.pyannote[512].speaker SPEAKER_18
transcript.pyannote[512].start 4855.33971875
transcript.pyannote[512].end 4855.82909375
transcript.pyannote[513].speaker SPEAKER_30
transcript.pyannote[513].start 4855.82909375
transcript.pyannote[513].end 4855.94721875
transcript.pyannote[514].speaker SPEAKER_17
transcript.pyannote[514].start 4858.14096875
transcript.pyannote[514].end 4860.11534375
transcript.pyannote[515].speaker SPEAKER_17
transcript.pyannote[515].start 4861.27971875
transcript.pyannote[515].end 4862.07284375
transcript.pyannote[516].speaker SPEAKER_17
transcript.pyannote[516].start 4862.86596875
transcript.pyannote[516].end 4864.24971875
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 4865.14409375
transcript.pyannote[517].end 4866.20721875
transcript.pyannote[518].speaker SPEAKER_17
transcript.pyannote[518].start 4866.51096875
transcript.pyannote[518].end 4866.61221875
transcript.pyannote[519].speaker SPEAKER_30
transcript.pyannote[519].start 4866.61221875
transcript.pyannote[519].end 4866.94971875
transcript.pyannote[520].speaker SPEAKER_17
transcript.pyannote[520].start 4866.94971875
transcript.pyannote[520].end 4868.97471875
transcript.pyannote[521].speaker SPEAKER_30
transcript.pyannote[521].start 4867.10159375
transcript.pyannote[521].end 4868.67096875
transcript.pyannote[522].speaker SPEAKER_30
transcript.pyannote[522].start 4868.97471875
transcript.pyannote[522].end 4869.02534375
transcript.pyannote[523].speaker SPEAKER_17
transcript.pyannote[523].start 4869.02534375
transcript.pyannote[523].end 4876.24784375
transcript.pyannote[524].speaker SPEAKER_30
transcript.pyannote[524].start 4869.43034375
transcript.pyannote[524].end 4869.97034375
transcript.pyannote[525].speaker SPEAKER_31
transcript.pyannote[525].start 4876.34909375
transcript.pyannote[525].end 4876.72034375
transcript.pyannote[526].speaker SPEAKER_17
transcript.pyannote[526].start 4876.72034375
transcript.pyannote[526].end 4879.53846875
transcript.pyannote[527].speaker SPEAKER_17
transcript.pyannote[527].start 4880.19659375
transcript.pyannote[527].end 4884.56721875
transcript.pyannote[528].speaker SPEAKER_17
transcript.pyannote[528].start 4886.05221875
transcript.pyannote[528].end 4887.19971875
transcript.pyannote[529].speaker SPEAKER_17
transcript.pyannote[529].start 4887.77346875
transcript.pyannote[529].end 4889.05596875
transcript.pyannote[530].speaker SPEAKER_17
transcript.pyannote[530].start 4890.52409375
transcript.pyannote[530].end 4891.41846875
transcript.pyannote[531].speaker SPEAKER_17
transcript.pyannote[531].start 4892.85284375
transcript.pyannote[531].end 4893.54471875
transcript.pyannote[532].speaker SPEAKER_17
transcript.pyannote[532].start 4894.94534375
transcript.pyannote[532].end 4895.63721875
transcript.pyannote[533].speaker SPEAKER_17
transcript.pyannote[533].start 4896.36284375
transcript.pyannote[533].end 4897.57784375
transcript.pyannote[534].speaker SPEAKER_17
transcript.pyannote[534].start 4897.84784375
transcript.pyannote[534].end 4898.67471875
transcript.pyannote[535].speaker SPEAKER_30
transcript.pyannote[535].start 4898.67471875
transcript.pyannote[535].end 4898.69159375
transcript.pyannote[536].speaker SPEAKER_17
transcript.pyannote[536].start 4898.89409375
transcript.pyannote[536].end 4899.60284375
transcript.pyannote[537].speaker SPEAKER_30
transcript.pyannote[537].start 4899.60284375
transcript.pyannote[537].end 4899.61971875
transcript.pyannote[538].speaker SPEAKER_30
transcript.pyannote[538].start 4900.09221875
transcript.pyannote[538].end 4901.17221875
transcript.pyannote[539].speaker SPEAKER_30
transcript.pyannote[539].start 4901.84721875
transcript.pyannote[539].end 4903.88909375
transcript.pyannote[540].speaker SPEAKER_30
transcript.pyannote[540].start 4904.44596875
transcript.pyannote[540].end 4910.75721875
transcript.pyannote[541].speaker SPEAKER_30
transcript.pyannote[541].start 4911.11159375
transcript.pyannote[541].end 4912.02284375
transcript.pyannote[542].speaker SPEAKER_30
transcript.pyannote[542].start 4912.10721875
transcript.pyannote[542].end 4912.56284375
transcript.pyannote[543].speaker SPEAKER_30
transcript.pyannote[543].start 4912.78221875
transcript.pyannote[543].end 4914.97596875
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 4914.97596875
transcript.pyannote[544].end 4915.14471875
transcript.pyannote[545].speaker SPEAKER_30
transcript.pyannote[545].start 4915.14471875
transcript.pyannote[545].end 4915.16159375
transcript.pyannote[546].speaker SPEAKER_17
transcript.pyannote[546].start 4915.85346875
transcript.pyannote[546].end 4916.66346875
transcript.pyannote[547].speaker SPEAKER_30
transcript.pyannote[547].start 4916.66346875
transcript.pyannote[547].end 4916.68034375
transcript.pyannote[548].speaker SPEAKER_17
transcript.pyannote[548].start 4917.05159375
transcript.pyannote[548].end 4919.09346875
transcript.pyannote[549].speaker SPEAKER_17
transcript.pyannote[549].start 4919.70096875
transcript.pyannote[549].end 4924.02096875
transcript.pyannote[550].speaker SPEAKER_30
transcript.pyannote[550].start 4923.00846875
transcript.pyannote[550].end 4923.75096875
transcript.pyannote[551].speaker SPEAKER_30
transcript.pyannote[551].start 4924.02096875
transcript.pyannote[551].end 4930.51784375
transcript.pyannote[552].speaker SPEAKER_17
transcript.pyannote[552].start 4930.12971875
transcript.pyannote[552].end 4932.05346875
transcript.pyannote[553].speaker SPEAKER_30
transcript.pyannote[553].start 4931.63159375
transcript.pyannote[553].end 4935.09096875
transcript.pyannote[554].speaker SPEAKER_17
transcript.pyannote[554].start 4934.21346875
transcript.pyannote[554].end 4935.68159375
transcript.pyannote[555].speaker SPEAKER_30
transcript.pyannote[555].start 4935.81659375
transcript.pyannote[555].end 4937.79096875
transcript.pyannote[556].speaker SPEAKER_17
transcript.pyannote[556].start 4938.83721875
transcript.pyannote[556].end 4938.85409375
transcript.pyannote[557].speaker SPEAKER_30
transcript.pyannote[557].start 4938.85409375
transcript.pyannote[557].end 4938.97221875
transcript.pyannote[558].speaker SPEAKER_17
transcript.pyannote[558].start 4938.97221875
transcript.pyannote[558].end 4940.30534375
transcript.pyannote[559].speaker SPEAKER_17
transcript.pyannote[559].start 4940.49096875
transcript.pyannote[559].end 4940.79471875
transcript.pyannote[560].speaker SPEAKER_17
transcript.pyannote[560].start 4941.01409375
transcript.pyannote[560].end 4943.71409375
transcript.pyannote[561].speaker SPEAKER_30
transcript.pyannote[561].start 4944.08534375
transcript.pyannote[561].end 4944.77721875
transcript.pyannote[562].speaker SPEAKER_17
transcript.pyannote[562].start 4944.77721875
transcript.pyannote[562].end 4945.28346875
transcript.pyannote[563].speaker SPEAKER_17
transcript.pyannote[563].start 4946.21159375
transcript.pyannote[563].end 4947.29159375
transcript.pyannote[564].speaker SPEAKER_17
transcript.pyannote[564].start 4948.55721875
transcript.pyannote[564].end 4950.34596875
transcript.pyannote[565].speaker SPEAKER_30
transcript.pyannote[565].start 4950.46409375
transcript.pyannote[565].end 4951.03784375
transcript.pyannote[566].speaker SPEAKER_30
transcript.pyannote[566].start 4951.35846875
transcript.pyannote[566].end 4955.39159375
transcript.pyannote[567].speaker SPEAKER_17
transcript.pyannote[567].start 4953.21471875
transcript.pyannote[567].end 4955.40846875
transcript.pyannote[568].speaker SPEAKER_17
transcript.pyannote[568].start 4956.40409375
transcript.pyannote[568].end 4958.69909375
transcript.pyannote[569].speaker SPEAKER_17
transcript.pyannote[569].start 4960.15034375
transcript.pyannote[569].end 4964.33534375
transcript.pyannote[570].speaker SPEAKER_30
transcript.pyannote[570].start 4961.58471875
transcript.pyannote[570].end 4962.52971875
transcript.pyannote[571].speaker SPEAKER_17
transcript.pyannote[571].start 4964.48721875
transcript.pyannote[571].end 4969.63409375
transcript.pyannote[572].speaker SPEAKER_17
transcript.pyannote[572].start 4969.97159375
transcript.pyannote[572].end 4971.76034375
transcript.pyannote[573].speaker SPEAKER_17
transcript.pyannote[573].start 4972.35096875
transcript.pyannote[573].end 4972.63784375
transcript.pyannote[574].speaker SPEAKER_17
transcript.pyannote[574].start 4974.29159375
transcript.pyannote[574].end 4979.45534375
transcript.pyannote[575].speaker SPEAKER_17
transcript.pyannote[575].start 4980.73784375
transcript.pyannote[575].end 4984.04534375
transcript.pyannote[576].speaker SPEAKER_17
transcript.pyannote[576].start 4984.70346875
transcript.pyannote[576].end 4985.81721875
transcript.pyannote[577].speaker SPEAKER_17
transcript.pyannote[577].start 4989.93471875
transcript.pyannote[577].end 4992.11159375
transcript.pyannote[578].speaker SPEAKER_17
transcript.pyannote[578].start 4993.57971875
transcript.pyannote[578].end 4994.20409375
transcript.pyannote[579].speaker SPEAKER_17
transcript.pyannote[579].start 4994.89596875
transcript.pyannote[579].end 4994.91284375
transcript.pyannote[580].speaker SPEAKER_04
transcript.pyannote[580].start 4994.91284375
transcript.pyannote[580].end 4994.94659375
transcript.pyannote[581].speaker SPEAKER_17
transcript.pyannote[581].start 4994.94659375
transcript.pyannote[581].end 4994.96346875
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 4994.96346875
transcript.pyannote[582].end 4995.82409375
transcript.pyannote[583].speaker SPEAKER_17
transcript.pyannote[583].start 4995.82409375
transcript.pyannote[583].end 4995.85784375
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 4995.85784375
transcript.pyannote[584].end 4997.88284375
transcript.pyannote[585].speaker SPEAKER_17
transcript.pyannote[585].start 4995.89159375
transcript.pyannote[585].end 4996.95471875
transcript.pyannote[586].speaker SPEAKER_17
transcript.pyannote[586].start 4997.88284375
transcript.pyannote[586].end 5000.39721875
transcript.pyannote[587].speaker SPEAKER_17
transcript.pyannote[587].start 5000.97096875
transcript.pyannote[587].end 5001.44346875
transcript.pyannote[588].speaker SPEAKER_17
transcript.pyannote[588].start 5002.70909375
transcript.pyannote[588].end 5003.19846875
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 5003.19846875
transcript.pyannote[589].end 5003.29971875
transcript.pyannote[590].speaker SPEAKER_17
transcript.pyannote[590].start 5003.29971875
transcript.pyannote[590].end 5005.03784375
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 5005.03784375
transcript.pyannote[591].end 5005.72971875
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 5006.62409375
transcript.pyannote[592].end 5009.77971875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 5010.33659375
transcript.pyannote[593].end 5014.13346875
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 5014.60596875
transcript.pyannote[594].end 5019.28034375
transcript.pyannote[595].speaker SPEAKER_18
transcript.pyannote[595].start 5018.33534375
transcript.pyannote[595].end 5019.83721875
transcript.pyannote[596].speaker SPEAKER_17
transcript.pyannote[596].start 5019.83721875
transcript.pyannote[596].end 5020.20846875
transcript.pyannote[597].speaker SPEAKER_17
transcript.pyannote[597].start 5020.73159375
transcript.pyannote[597].end 5022.40221875
transcript.pyannote[598].speaker SPEAKER_17
transcript.pyannote[598].start 5022.85784375
transcript.pyannote[598].end 5027.17784375
transcript.pyannote[599].speaker SPEAKER_17
transcript.pyannote[599].start 5028.27471875
transcript.pyannote[599].end 5031.71721875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 5030.67096875
transcript.pyannote[600].end 5031.31221875
transcript.pyannote[601].speaker SPEAKER_17
transcript.pyannote[601].start 5032.27409375
transcript.pyannote[601].end 5032.69596875
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 5033.23596875
transcript.pyannote[602].end 5035.63221875
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 5035.96971875
transcript.pyannote[603].end 5038.02846875
transcript.pyannote[604].speaker SPEAKER_17
transcript.pyannote[604].start 5036.45909375
transcript.pyannote[604].end 5039.15909375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 5039.51346875
transcript.pyannote[605].end 5040.57659375
transcript.pyannote[606].speaker SPEAKER_17
transcript.pyannote[606].start 5041.26846875
transcript.pyannote[606].end 5042.68596875
transcript.pyannote[607].speaker SPEAKER_17
transcript.pyannote[607].start 5043.00659375
transcript.pyannote[607].end 5044.00221875
transcript.pyannote[608].speaker SPEAKER_17
transcript.pyannote[608].start 5044.62659375
transcript.pyannote[608].end 5049.99284375
transcript.pyannote[609].speaker SPEAKER_17
transcript.pyannote[609].start 5051.12346875
transcript.pyannote[609].end 5052.00096875
transcript.pyannote[610].speaker SPEAKER_17
transcript.pyannote[610].start 5052.43971875
transcript.pyannote[610].end 5052.97971875
transcript.pyannote[611].speaker SPEAKER_17
transcript.pyannote[611].start 5053.45221875
transcript.pyannote[611].end 5055.64596875
transcript.pyannote[612].speaker SPEAKER_30
transcript.pyannote[612].start 5056.11846875
transcript.pyannote[612].end 5056.35471875
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 5056.35471875
transcript.pyannote[613].end 5056.37159375
transcript.pyannote[614].speaker SPEAKER_30
transcript.pyannote[614].start 5056.37159375
transcript.pyannote[614].end 5060.87721875
transcript.pyannote[615].speaker SPEAKER_17
transcript.pyannote[615].start 5056.50659375
transcript.pyannote[615].end 5057.90721875
transcript.pyannote[616].speaker SPEAKER_29
transcript.pyannote[616].start 5057.90721875
transcript.pyannote[616].end 5057.92409375
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 5059.08846875
transcript.pyannote[617].end 5060.97846875
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 5060.97846875
transcript.pyannote[618].end 5061.34971875
transcript.pyannote[619].speaker SPEAKER_17
transcript.pyannote[619].start 5061.34971875
transcript.pyannote[619].end 5061.41721875
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 5061.41721875
transcript.pyannote[620].end 5062.44659375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 5064.52221875
transcript.pyannote[621].end 5076.90846875
transcript.pyannote[622].speaker SPEAKER_12
transcript.pyannote[622].start 5072.52096875
transcript.pyannote[622].end 5072.53784375
transcript.pyannote[623].speaker SPEAKER_17
transcript.pyannote[623].start 5072.53784375
transcript.pyannote[623].end 5077.07721875
transcript.pyannote[624].speaker SPEAKER_17
transcript.pyannote[624].start 5078.89971875
transcript.pyannote[624].end 5080.30034375
transcript.pyannote[625].speaker SPEAKER_17
transcript.pyannote[625].start 5080.60409375
transcript.pyannote[625].end 5099.90909375
transcript.pyannote[626].speaker SPEAKER_29
transcript.pyannote[626].start 5096.39909375
transcript.pyannote[626].end 5098.69409375
transcript.pyannote[627].speaker SPEAKER_17
transcript.pyannote[627].start 5100.38159375
transcript.pyannote[627].end 5102.28846875
transcript.pyannote[628].speaker SPEAKER_17
transcript.pyannote[628].start 5102.99721875
transcript.pyannote[628].end 5104.46534375
transcript.pyannote[629].speaker SPEAKER_30
transcript.pyannote[629].start 5105.20784375
transcript.pyannote[629].end 5128.19159375
transcript.pyannote[630].speaker SPEAKER_17
transcript.pyannote[630].start 5105.34284375
transcript.pyannote[630].end 5107.31721875
transcript.pyannote[631].speaker SPEAKER_18
transcript.pyannote[631].start 5126.82471875
transcript.pyannote[631].end 5126.87534375
transcript.pyannote[632].speaker SPEAKER_17
transcript.pyannote[632].start 5126.87534375
transcript.pyannote[632].end 5128.20846875
transcript.pyannote[633].speaker SPEAKER_30
transcript.pyannote[633].start 5128.20846875
transcript.pyannote[633].end 5128.22534375
transcript.pyannote[634].speaker SPEAKER_17
transcript.pyannote[634].start 5128.22534375
transcript.pyannote[634].end 5128.24221875
transcript.pyannote[635].speaker SPEAKER_30
transcript.pyannote[635].start 5128.24221875
transcript.pyannote[635].end 5128.27596875
transcript.pyannote[636].speaker SPEAKER_30
transcript.pyannote[636].start 5128.47846875
transcript.pyannote[636].end 5130.65534375
transcript.pyannote[637].speaker SPEAKER_17
transcript.pyannote[637].start 5129.44034375
transcript.pyannote[637].end 5131.11096875
transcript.pyannote[638].speaker SPEAKER_17
transcript.pyannote[638].start 5131.34721875
transcript.pyannote[638].end 5131.75221875
transcript.pyannote[639].speaker SPEAKER_17
transcript.pyannote[639].start 5131.98846875
transcript.pyannote[639].end 5132.71409375
transcript.pyannote[640].speaker SPEAKER_17
transcript.pyannote[640].start 5134.01346875
transcript.pyannote[640].end 5135.34659375
transcript.pyannote[641].speaker SPEAKER_17
transcript.pyannote[641].start 5135.98784375
transcript.pyannote[641].end 5137.48971875
transcript.pyannote[642].speaker SPEAKER_17
transcript.pyannote[642].start 5138.72159375
transcript.pyannote[642].end 5140.03784375
transcript.pyannote[643].speaker SPEAKER_04
transcript.pyannote[643].start 5140.03784375
transcript.pyannote[643].end 5152.33971875
transcript.pyannote[644].speaker SPEAKER_17
transcript.pyannote[644].start 5140.05471875
transcript.pyannote[644].end 5140.10534375
transcript.pyannote[645].speaker SPEAKER_18
transcript.pyannote[645].start 5151.41159375
transcript.pyannote[645].end 5151.51284375
transcript.pyannote[646].speaker SPEAKER_17
transcript.pyannote[646].start 5151.51284375
transcript.pyannote[646].end 5151.78284375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 5152.82909375
transcript.pyannote[647].end 5154.04409375
transcript.pyannote[648].speaker SPEAKER_17
transcript.pyannote[648].start 5154.04409375
transcript.pyannote[648].end 5154.06096875
transcript.pyannote[649].speaker SPEAKER_04
transcript.pyannote[649].start 5154.75284375
transcript.pyannote[649].end 5154.97221875
transcript.pyannote[650].speaker SPEAKER_17
transcript.pyannote[650].start 5154.97221875
transcript.pyannote[650].end 5156.47409375
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 5157.43596875
transcript.pyannote[651].end 5159.42721875
transcript.pyannote[652].speaker SPEAKER_17
transcript.pyannote[652].start 5159.69721875
transcript.pyannote[652].end 5161.08096875
transcript.pyannote[653].speaker SPEAKER_17
transcript.pyannote[653].start 5161.70534375
transcript.pyannote[653].end 5162.09346875
transcript.pyannote[654].speaker SPEAKER_17
transcript.pyannote[654].start 5162.66721875
transcript.pyannote[654].end 5165.63721875
transcript.pyannote[655].speaker SPEAKER_04
transcript.pyannote[655].start 5167.61159375
transcript.pyannote[655].end 5176.82534375
transcript.pyannote[656].speaker SPEAKER_17
transcript.pyannote[656].start 5171.93159375
transcript.pyannote[656].end 5172.01596875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 5172.11721875
transcript.pyannote[657].end 5174.68221875
transcript.pyannote[658].speaker SPEAKER_17
transcript.pyannote[658].start 5175.01971875
transcript.pyannote[658].end 5177.17971875
transcript.pyannote[659].speaker SPEAKER_17
transcript.pyannote[659].start 5177.39909375
transcript.pyannote[659].end 5178.47909375
transcript.pyannote[660].speaker SPEAKER_17
transcript.pyannote[660].start 5179.44096875
transcript.pyannote[660].end 5182.98471875
transcript.pyannote[661].speaker SPEAKER_17
transcript.pyannote[661].start 5183.87909375
transcript.pyannote[661].end 5184.99284375
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 5185.22909375
transcript.pyannote[662].end 5186.95034375
transcript.pyannote[663].speaker SPEAKER_30
transcript.pyannote[663].start 5188.09784375
transcript.pyannote[663].end 5189.90346875
transcript.pyannote[664].speaker SPEAKER_17
transcript.pyannote[664].start 5188.48596875
transcript.pyannote[664].end 5188.87409375
transcript.pyannote[665].speaker SPEAKER_17
transcript.pyannote[665].start 5189.36346875
transcript.pyannote[665].end 5192.02971875
transcript.pyannote[666].speaker SPEAKER_30
transcript.pyannote[666].start 5193.76784375
transcript.pyannote[666].end 5199.11721875
transcript.pyannote[667].speaker SPEAKER_17
transcript.pyannote[667].start 5194.76346875
transcript.pyannote[667].end 5195.79284375
transcript.pyannote[668].speaker SPEAKER_17
transcript.pyannote[668].start 5197.19346875
transcript.pyannote[668].end 5198.08784375
transcript.pyannote[669].speaker SPEAKER_17
transcript.pyannote[669].start 5199.25221875
transcript.pyannote[669].end 5200.99034375
transcript.pyannote[670].speaker SPEAKER_17
transcript.pyannote[670].start 5201.44596875
transcript.pyannote[670].end 5202.27284375
transcript.pyannote[671].speaker SPEAKER_17
transcript.pyannote[671].start 5203.87596875
transcript.pyannote[671].end 5205.10784375
transcript.pyannote[672].speaker SPEAKER_17
transcript.pyannote[672].start 5206.57596875
transcript.pyannote[672].end 5208.33096875
transcript.pyannote[673].speaker SPEAKER_17
transcript.pyannote[673].start 5208.88784375
transcript.pyannote[673].end 5210.52471875
transcript.pyannote[674].speaker SPEAKER_17
transcript.pyannote[674].start 5212.85346875
transcript.pyannote[674].end 5216.12721875
transcript.pyannote[675].speaker SPEAKER_17
transcript.pyannote[675].start 5216.51534375
transcript.pyannote[675].end 5224.51409375
transcript.pyannote[676].speaker SPEAKER_30
transcript.pyannote[676].start 5220.97034375
transcript.pyannote[676].end 5221.57784375
transcript.pyannote[677].speaker SPEAKER_30
transcript.pyannote[677].start 5222.37096875
transcript.pyannote[677].end 5222.38784375
transcript.pyannote[678].speaker SPEAKER_30
transcript.pyannote[678].start 5222.40471875
transcript.pyannote[678].end 5222.59034375
transcript.pyannote[679].speaker SPEAKER_17
transcript.pyannote[679].start 5224.68284375
transcript.pyannote[679].end 5225.27346875
transcript.pyannote[680].speaker SPEAKER_17
transcript.pyannote[680].start 5225.71221875
transcript.pyannote[680].end 5227.68659375
transcript.pyannote[681].speaker SPEAKER_04
transcript.pyannote[681].start 5225.93159375
transcript.pyannote[681].end 5226.20159375
transcript.pyannote[682].speaker SPEAKER_17
transcript.pyannote[682].start 5228.90159375
transcript.pyannote[682].end 5228.91846875
transcript.pyannote[683].speaker SPEAKER_04
transcript.pyannote[683].start 5228.91846875
transcript.pyannote[683].end 5229.84659375
transcript.pyannote[684].speaker SPEAKER_17
transcript.pyannote[684].start 5229.01971875
transcript.pyannote[684].end 5230.75784375
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 5230.75784375
transcript.pyannote[685].end 5236.56284375
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 5234.92596875
transcript.pyannote[686].end 5239.48221875
transcript.pyannote[687].speaker SPEAKER_04
transcript.pyannote[687].start 5238.67221875
transcript.pyannote[687].end 5244.17346875
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 5244.02159375
transcript.pyannote[688].end 5244.15659375
transcript.pyannote[689].speaker SPEAKER_17
transcript.pyannote[689].start 5244.17346875
transcript.pyannote[689].end 5245.65846875
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 5246.45159375
transcript.pyannote[690].end 5247.46409375
transcript.pyannote[691].speaker SPEAKER_17
transcript.pyannote[691].start 5247.68346875
transcript.pyannote[691].end 5248.91534375
transcript.pyannote[692].speaker SPEAKER_04
transcript.pyannote[692].start 5249.15159375
transcript.pyannote[692].end 5252.79659375
transcript.pyannote[693].speaker SPEAKER_18
transcript.pyannote[693].start 5250.02909375
transcript.pyannote[693].end 5251.31159375
transcript.pyannote[694].speaker SPEAKER_18
transcript.pyannote[694].start 5253.37034375
transcript.pyannote[694].end 5254.95659375
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 5258.04471875
transcript.pyannote[695].end 5258.97284375
transcript.pyannote[696].speaker SPEAKER_18
transcript.pyannote[696].start 5258.33159375
transcript.pyannote[696].end 5259.88409375
transcript.pyannote[697].speaker SPEAKER_18
transcript.pyannote[697].start 5260.12034375
transcript.pyannote[697].end 5261.21721875
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 5262.63471875
transcript.pyannote[698].end 5269.45221875
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 5267.95034375
transcript.pyannote[699].end 5268.05159375
transcript.pyannote[700].speaker SPEAKER_30
transcript.pyannote[700].start 5268.05159375
transcript.pyannote[700].end 5268.70971875
transcript.pyannote[701].speaker SPEAKER_17
transcript.pyannote[701].start 5268.96284375
transcript.pyannote[701].end 5273.90721875
transcript.pyannote[702].speaker SPEAKER_29
transcript.pyannote[702].start 5273.43471875
transcript.pyannote[702].end 5273.87346875
transcript.pyannote[703].speaker SPEAKER_29
transcript.pyannote[703].start 5273.90721875
transcript.pyannote[703].end 5277.95721875
transcript.pyannote[704].speaker SPEAKER_17
transcript.pyannote[704].start 5274.56534375
transcript.pyannote[704].end 5285.87159375
transcript.pyannote[705].speaker SPEAKER_18
transcript.pyannote[705].start 5277.95721875
transcript.pyannote[705].end 5278.64909375
transcript.pyannote[706].speaker SPEAKER_29
transcript.pyannote[706].start 5278.64909375
transcript.pyannote[706].end 5278.75034375
transcript.pyannote[707].speaker SPEAKER_18
transcript.pyannote[707].start 5278.75034375
transcript.pyannote[707].end 5278.81784375
transcript.pyannote[708].speaker SPEAKER_17
transcript.pyannote[708].start 5286.47909375
transcript.pyannote[708].end 5290.32659375
transcript.pyannote[709].speaker SPEAKER_17
transcript.pyannote[709].start 5291.22096875
transcript.pyannote[709].end 5295.77721875
transcript.pyannote[710].speaker SPEAKER_17
transcript.pyannote[710].start 5296.48596875
transcript.pyannote[710].end 5298.10596875
transcript.pyannote[711].speaker SPEAKER_17
transcript.pyannote[711].start 5298.30846875
transcript.pyannote[711].end 5301.46409375
transcript.pyannote[712].speaker SPEAKER_30
transcript.pyannote[712].start 5298.93284375
transcript.pyannote[712].end 5299.37159375
transcript.pyannote[713].speaker SPEAKER_30
transcript.pyannote[713].start 5301.46409375
transcript.pyannote[713].end 5303.03346875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5303.03346875
transcript.pyannote[714].end 5308.60221875
transcript.pyannote[715].speaker SPEAKER_17
transcript.pyannote[715].start 5304.43409375
transcript.pyannote[715].end 5304.70409375
transcript.pyannote[716].speaker SPEAKER_30
transcript.pyannote[716].start 5304.70409375
transcript.pyannote[716].end 5304.88971875
transcript.pyannote[717].speaker SPEAKER_17
transcript.pyannote[717].start 5304.88971875
transcript.pyannote[717].end 5304.90659375
transcript.pyannote[718].speaker SPEAKER_30
transcript.pyannote[718].start 5304.90659375
transcript.pyannote[718].end 5304.97409375
transcript.pyannote[719].speaker SPEAKER_17
transcript.pyannote[719].start 5304.97409375
transcript.pyannote[719].end 5305.42971875
transcript.pyannote[720].speaker SPEAKER_30
transcript.pyannote[720].start 5305.42971875
transcript.pyannote[720].end 5305.61534375
transcript.pyannote[721].speaker SPEAKER_17
transcript.pyannote[721].start 5305.61534375
transcript.pyannote[721].end 5305.78409375
transcript.pyannote[722].speaker SPEAKER_30
transcript.pyannote[722].start 5305.78409375
transcript.pyannote[722].end 5305.80096875
transcript.pyannote[723].speaker SPEAKER_17
transcript.pyannote[723].start 5305.80096875
transcript.pyannote[723].end 5305.83471875
transcript.pyannote[724].speaker SPEAKER_17
transcript.pyannote[724].start 5309.32784375
transcript.pyannote[724].end 5312.73659375
transcript.pyannote[725].speaker SPEAKER_17
transcript.pyannote[725].start 5312.88846875
transcript.pyannote[725].end 5314.99784375
transcript.pyannote[726].speaker SPEAKER_04
transcript.pyannote[726].start 5313.29346875
transcript.pyannote[726].end 5317.29284375
transcript.pyannote[727].speaker SPEAKER_17
transcript.pyannote[727].start 5316.46596875
transcript.pyannote[727].end 5317.74846875
transcript.pyannote[728].speaker SPEAKER_17
transcript.pyannote[728].start 5320.38096875
transcript.pyannote[728].end 5323.45221875
transcript.pyannote[729].speaker SPEAKER_17
transcript.pyannote[729].start 5324.88659375
transcript.pyannote[729].end 5326.37159375
transcript.pyannote[730].speaker SPEAKER_17
transcript.pyannote[730].start 5327.02971875
transcript.pyannote[730].end 5329.13909375
transcript.pyannote[731].speaker SPEAKER_17
transcript.pyannote[731].start 5330.35409375
transcript.pyannote[731].end 5333.67846875
transcript.pyannote[732].speaker SPEAKER_17
transcript.pyannote[732].start 5334.48846875
transcript.pyannote[732].end 5335.26471875
transcript.pyannote[733].speaker SPEAKER_17
transcript.pyannote[733].start 5335.80471875
transcript.pyannote[733].end 5339.39909375
transcript.pyannote[734].speaker SPEAKER_17
transcript.pyannote[734].start 5340.32721875
transcript.pyannote[734].end 5341.27221875
transcript.pyannote[735].speaker SPEAKER_17
transcript.pyannote[735].start 5341.98096875
transcript.pyannote[735].end 5344.78221875
transcript.pyannote[736].speaker SPEAKER_17
transcript.pyannote[736].start 5345.35596875
transcript.pyannote[736].end 5347.24596875
transcript.pyannote[737].speaker SPEAKER_17
transcript.pyannote[737].start 5347.43159375
transcript.pyannote[737].end 5349.89534375
transcript.pyannote[738].speaker SPEAKER_17
transcript.pyannote[738].start 5350.31721875
transcript.pyannote[738].end 5351.05971875
transcript.pyannote[739].speaker SPEAKER_17
transcript.pyannote[739].start 5351.41409375
transcript.pyannote[739].end 5357.82659375
transcript.pyannote[740].speaker SPEAKER_04
transcript.pyannote[740].start 5351.53221875
transcript.pyannote[740].end 5352.96659375
transcript.pyannote[741].speaker SPEAKER_00
transcript.pyannote[741].start 5352.96659375
transcript.pyannote[741].end 5353.50659375
transcript.pyannote[742].speaker SPEAKER_17
transcript.pyannote[742].start 5360.07096875
transcript.pyannote[742].end 5373.52034375
transcript.pyannote[743].speaker SPEAKER_17
transcript.pyannote[743].start 5373.92534375
transcript.pyannote[743].end 5375.47784375
transcript.pyannote[744].speaker SPEAKER_30
transcript.pyannote[744].start 5375.52846875
transcript.pyannote[744].end 5378.02596875
transcript.pyannote[745].speaker SPEAKER_29
transcript.pyannote[745].start 5378.02596875
transcript.pyannote[745].end 5378.80221875
transcript.pyannote[746].speaker SPEAKER_30
transcript.pyannote[746].start 5378.80221875
transcript.pyannote[746].end 5378.86971875
transcript.pyannote[747].speaker SPEAKER_30
transcript.pyannote[747].start 5379.13971875
transcript.pyannote[747].end 5380.10159375
transcript.pyannote[748].speaker SPEAKER_17
transcript.pyannote[748].start 5379.76409375
transcript.pyannote[748].end 5380.13534375
transcript.pyannote[749].speaker SPEAKER_29
transcript.pyannote[749].start 5380.10159375
transcript.pyannote[749].end 5383.57784375
transcript.pyannote[750].speaker SPEAKER_17
transcript.pyannote[750].start 5384.60721875
transcript.pyannote[750].end 5387.20596875
transcript.pyannote[751].speaker SPEAKER_17
transcript.pyannote[751].start 5387.94846875
transcript.pyannote[751].end 5388.30284375
transcript.pyannote[752].speaker SPEAKER_17
transcript.pyannote[752].start 5388.82596875
transcript.pyannote[752].end 5391.08721875
transcript.pyannote[753].speaker SPEAKER_17
transcript.pyannote[753].start 5392.04909375
transcript.pyannote[753].end 5394.29346875
transcript.pyannote[754].speaker SPEAKER_17
transcript.pyannote[754].start 5394.73221875
transcript.pyannote[754].end 5395.20471875
transcript.pyannote[755].speaker SPEAKER_17
transcript.pyannote[755].start 5395.66034375
transcript.pyannote[755].end 5399.67659375
transcript.pyannote[756].speaker SPEAKER_17
transcript.pyannote[756].start 5400.45284375
transcript.pyannote[756].end 5402.12346875
transcript.pyannote[757].speaker SPEAKER_17
transcript.pyannote[757].start 5402.61284375
transcript.pyannote[757].end 5404.40159375
transcript.pyannote[758].speaker SPEAKER_17
transcript.pyannote[758].start 5405.14409375
transcript.pyannote[758].end 5408.26596875
transcript.pyannote[759].speaker SPEAKER_17
transcript.pyannote[759].start 5408.77221875
transcript.pyannote[759].end 5411.89409375
transcript.pyannote[760].speaker SPEAKER_30
transcript.pyannote[760].start 5411.89409375
transcript.pyannote[760].end 5411.92784375
transcript.pyannote[761].speaker SPEAKER_17
transcript.pyannote[761].start 5412.36659375
transcript.pyannote[761].end 5412.40034375
transcript.pyannote[762].speaker SPEAKER_30
transcript.pyannote[762].start 5412.40034375
transcript.pyannote[762].end 5434.67534375
transcript.pyannote[763].speaker SPEAKER_30
transcript.pyannote[763].start 5434.91159375
transcript.pyannote[763].end 5445.67784375
transcript.pyannote[764].speaker SPEAKER_30
transcript.pyannote[764].start 5446.55534375
transcript.pyannote[764].end 5448.90096875
transcript.pyannote[765].speaker SPEAKER_17
transcript.pyannote[765].start 5448.90096875
transcript.pyannote[765].end 5450.94284375
transcript.pyannote[766].speaker SPEAKER_17
transcript.pyannote[766].start 5452.27596875
transcript.pyannote[766].end 5454.21659375
transcript.pyannote[767].speaker SPEAKER_17
transcript.pyannote[767].start 5454.87471875
transcript.pyannote[767].end 5455.95471875
transcript.pyannote[768].speaker SPEAKER_17
transcript.pyannote[768].start 5456.24159375
transcript.pyannote[768].end 5458.04721875
transcript.pyannote[769].speaker SPEAKER_17
transcript.pyannote[769].start 5458.53659375
transcript.pyannote[769].end 5462.65409375
transcript.pyannote[770].speaker SPEAKER_17
transcript.pyannote[770].start 5463.05909375
transcript.pyannote[770].end 5463.54846875
transcript.pyannote[771].speaker SPEAKER_17
transcript.pyannote[771].start 5463.75096875
transcript.pyannote[771].end 5467.68284375
transcript.pyannote[772].speaker SPEAKER_17
transcript.pyannote[772].start 5468.52659375
transcript.pyannote[772].end 5470.92284375
transcript.pyannote[773].speaker SPEAKER_17
transcript.pyannote[773].start 5471.56409375
transcript.pyannote[773].end 5473.58909375
transcript.pyannote[774].speaker SPEAKER_17
transcript.pyannote[774].start 5474.50034375
transcript.pyannote[774].end 5480.92971875
transcript.pyannote[775].speaker SPEAKER_17
transcript.pyannote[775].start 5481.70596875
transcript.pyannote[775].end 5485.24971875
transcript.pyannote[776].speaker SPEAKER_17
transcript.pyannote[776].start 5486.73471875
transcript.pyannote[776].end 5491.56096875
transcript.pyannote[777].speaker SPEAKER_29
transcript.pyannote[777].start 5487.24096875
transcript.pyannote[777].end 5487.25784375
transcript.pyannote[778].speaker SPEAKER_01
transcript.pyannote[778].start 5487.25784375
transcript.pyannote[778].end 5487.56159375
transcript.pyannote[779].speaker SPEAKER_17
transcript.pyannote[779].start 5492.08409375
transcript.pyannote[779].end 5492.99534375
transcript.pyannote[780].speaker SPEAKER_17
transcript.pyannote[780].start 5493.87284375
transcript.pyannote[780].end 5497.14659375
transcript.pyannote[781].speaker SPEAKER_17
transcript.pyannote[781].start 5498.12534375
transcript.pyannote[781].end 5501.19659375
transcript.pyannote[782].speaker SPEAKER_17
transcript.pyannote[782].start 5501.50034375
transcript.pyannote[782].end 5503.40721875
transcript.pyannote[783].speaker SPEAKER_17
transcript.pyannote[783].start 5504.77409375
transcript.pyannote[783].end 5509.06034375
transcript.pyannote[784].speaker SPEAKER_01
transcript.pyannote[784].start 5505.83721875
transcript.pyannote[784].end 5506.03971875
transcript.pyannote[785].speaker SPEAKER_17
transcript.pyannote[785].start 5509.54971875
transcript.pyannote[785].end 5509.81971875
transcript.pyannote[786].speaker SPEAKER_17
transcript.pyannote[786].start 5510.25846875
transcript.pyannote[786].end 5512.75596875
transcript.pyannote[787].speaker SPEAKER_17
transcript.pyannote[787].start 5513.14409375
transcript.pyannote[787].end 5514.78096875
transcript.pyannote[788].speaker SPEAKER_17
transcript.pyannote[788].start 5515.70909375
transcript.pyannote[788].end 5516.40096875
transcript.pyannote[789].speaker SPEAKER_17
transcript.pyannote[789].start 5516.97471875
transcript.pyannote[789].end 5517.76784375
transcript.pyannote[790].speaker SPEAKER_17
transcript.pyannote[790].start 5518.44284375
transcript.pyannote[790].end 5518.64534375
transcript.pyannote[791].speaker SPEAKER_17
transcript.pyannote[791].start 5519.15159375
transcript.pyannote[791].end 5519.59034375
transcript.pyannote[792].speaker SPEAKER_17
transcript.pyannote[792].start 5520.43409375
transcript.pyannote[792].end 5521.56471875
transcript.pyannote[793].speaker SPEAKER_17
transcript.pyannote[793].start 5521.98659375
transcript.pyannote[793].end 5523.50534375
transcript.pyannote[794].speaker SPEAKER_17
transcript.pyannote[794].start 5524.01159375
transcript.pyannote[794].end 5525.27721875
transcript.pyannote[795].speaker SPEAKER_17
transcript.pyannote[795].start 5525.74971875
transcript.pyannote[795].end 5528.01096875
transcript.pyannote[796].speaker SPEAKER_29
transcript.pyannote[796].start 5526.27284375
transcript.pyannote[796].end 5527.42034375
transcript.pyannote[797].speaker SPEAKER_17
transcript.pyannote[797].start 5528.44971875
transcript.pyannote[797].end 5531.03159375
transcript.pyannote[798].speaker SPEAKER_17
transcript.pyannote[798].start 5531.31846875
transcript.pyannote[798].end 5531.80784375
transcript.pyannote[799].speaker SPEAKER_17
transcript.pyannote[799].start 5532.29721875
transcript.pyannote[799].end 5533.90034375
transcript.pyannote[800].speaker SPEAKER_17
transcript.pyannote[800].start 5534.84534375
transcript.pyannote[800].end 5535.82409375
transcript.pyannote[801].speaker SPEAKER_17
transcript.pyannote[801].start 5536.70159375
transcript.pyannote[801].end 5537.37659375
transcript.pyannote[802].speaker SPEAKER_17
transcript.pyannote[802].start 5538.22034375
transcript.pyannote[802].end 5540.16096875
transcript.pyannote[803].speaker SPEAKER_17
transcript.pyannote[803].start 5540.92034375
transcript.pyannote[803].end 5544.61596875
transcript.pyannote[804].speaker SPEAKER_17
transcript.pyannote[804].start 5545.10534375
transcript.pyannote[804].end 5548.54784375
transcript.pyannote[805].speaker SPEAKER_01
transcript.pyannote[805].start 5548.54784375
transcript.pyannote[805].end 5548.64909375
transcript.pyannote[806].speaker SPEAKER_17
transcript.pyannote[806].start 5548.91909375
transcript.pyannote[806].end 5550.42096875
transcript.pyannote[807].speaker SPEAKER_17
transcript.pyannote[807].start 5551.36596875
transcript.pyannote[807].end 5552.39534375
transcript.pyannote[808].speaker SPEAKER_17
transcript.pyannote[808].start 5552.71596875
transcript.pyannote[808].end 5554.80846875
transcript.pyannote[809].speaker SPEAKER_17
transcript.pyannote[809].start 5555.31471875
transcript.pyannote[809].end 5558.50409375
transcript.pyannote[810].speaker SPEAKER_17
transcript.pyannote[810].start 5559.11159375
transcript.pyannote[810].end 5561.99721875
transcript.pyannote[811].speaker SPEAKER_17
transcript.pyannote[811].start 5562.43596875
transcript.pyannote[811].end 5570.63721875
transcript.pyannote[812].speaker SPEAKER_17
transcript.pyannote[812].start 5571.09284375
transcript.pyannote[812].end 5572.51034375
transcript.pyannote[813].speaker SPEAKER_17
transcript.pyannote[813].start 5572.99971875
transcript.pyannote[813].end 5574.65346875
transcript.pyannote[814].speaker SPEAKER_17
transcript.pyannote[814].start 5575.10909375
transcript.pyannote[814].end 5578.07909375
transcript.pyannote[815].speaker SPEAKER_17
transcript.pyannote[815].start 5578.51784375
transcript.pyannote[815].end 5580.03659375
transcript.pyannote[816].speaker SPEAKER_30
transcript.pyannote[816].start 5580.03659375
transcript.pyannote[816].end 5581.74096875
transcript.pyannote[817].speaker SPEAKER_30
transcript.pyannote[817].start 5581.96034375
transcript.pyannote[817].end 5584.71096875
transcript.pyannote[818].speaker SPEAKER_17
transcript.pyannote[818].start 5583.52971875
transcript.pyannote[818].end 5587.34346875
transcript.pyannote[819].speaker SPEAKER_30
transcript.pyannote[819].start 5585.95971875
transcript.pyannote[819].end 5590.65096875
transcript.pyannote[820].speaker SPEAKER_04
transcript.pyannote[820].start 5590.65096875
transcript.pyannote[820].end 5599.57784375
transcript.pyannote[821].speaker SPEAKER_04
transcript.pyannote[821].start 5599.84784375
transcript.pyannote[821].end 5610.42846875
transcript.pyannote[822].speaker SPEAKER_00
transcript.pyannote[822].start 5606.66534375
transcript.pyannote[822].end 5606.69909375
transcript.pyannote[823].speaker SPEAKER_01
transcript.pyannote[823].start 5606.69909375
transcript.pyannote[823].end 5606.71596875
transcript.pyannote[824].speaker SPEAKER_17
transcript.pyannote[824].start 5606.71596875
transcript.pyannote[824].end 5606.90159375
transcript.pyannote[825].speaker SPEAKER_00
transcript.pyannote[825].start 5606.90159375
transcript.pyannote[825].end 5607.03659375
transcript.pyannote[826].speaker SPEAKER_17
transcript.pyannote[826].start 5607.03659375
transcript.pyannote[826].end 5607.82971875
transcript.pyannote[827].speaker SPEAKER_00
transcript.pyannote[827].start 5607.82971875
transcript.pyannote[827].end 5607.88034375
transcript.pyannote[828].speaker SPEAKER_00
transcript.pyannote[828].start 5609.02784375
transcript.pyannote[828].end 5609.12909375
transcript.pyannote[829].speaker SPEAKER_17
transcript.pyannote[829].start 5609.12909375
transcript.pyannote[829].end 5610.05721875
transcript.pyannote[830].speaker SPEAKER_04
transcript.pyannote[830].start 5610.96846875
transcript.pyannote[830].end 5613.60096875
transcript.pyannote[831].speaker SPEAKER_17
transcript.pyannote[831].start 5612.65596875
transcript.pyannote[831].end 5616.53721875
transcript.pyannote[832].speaker SPEAKER_04
transcript.pyannote[832].start 5615.89596875
transcript.pyannote[832].end 5617.02659375
transcript.pyannote[833].speaker SPEAKER_29
transcript.pyannote[833].start 5616.53721875
transcript.pyannote[833].end 5616.58784375
transcript.pyannote[834].speaker SPEAKER_17
transcript.pyannote[834].start 5616.58784375
transcript.pyannote[834].end 5616.62159375
transcript.pyannote[835].speaker SPEAKER_29
transcript.pyannote[835].start 5616.62159375
transcript.pyannote[835].end 5617.12784375
transcript.pyannote[836].speaker SPEAKER_30
transcript.pyannote[836].start 5617.02659375
transcript.pyannote[836].end 5617.12784375
transcript.pyannote[837].speaker SPEAKER_04
transcript.pyannote[837].start 5617.12784375
transcript.pyannote[837].end 5617.19534375
transcript.pyannote[838].speaker SPEAKER_17
transcript.pyannote[838].start 5617.12784375
transcript.pyannote[838].end 5617.19534375
transcript.pyannote[839].speaker SPEAKER_30
transcript.pyannote[839].start 5617.19534375
transcript.pyannote[839].end 5617.65096875
transcript.pyannote[840].speaker SPEAKER_17
transcript.pyannote[840].start 5617.65096875
transcript.pyannote[840].end 5617.68471875
transcript.pyannote[841].speaker SPEAKER_30
transcript.pyannote[841].start 5617.68471875
transcript.pyannote[841].end 5617.76909375
transcript.pyannote[842].speaker SPEAKER_17
transcript.pyannote[842].start 5617.76909375
transcript.pyannote[842].end 5618.03909375
transcript.pyannote[843].speaker SPEAKER_30
transcript.pyannote[843].start 5618.03909375
transcript.pyannote[843].end 5618.79846875
transcript.pyannote[844].speaker SPEAKER_29
transcript.pyannote[844].start 5618.79846875
transcript.pyannote[844].end 5618.88284375
transcript.pyannote[845].speaker SPEAKER_30
transcript.pyannote[845].start 5618.88284375
transcript.pyannote[845].end 5627.16846875
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 5626.86471875
transcript.pyannote[846].end 5627.05034375
transcript.pyannote[847].speaker SPEAKER_18
transcript.pyannote[847].start 5627.15159375
transcript.pyannote[847].end 5628.16409375
transcript.pyannote[848].speaker SPEAKER_18
transcript.pyannote[848].start 5628.88971875
transcript.pyannote[848].end 5630.30721875
transcript.pyannote[849].speaker SPEAKER_03
transcript.pyannote[849].start 5640.75284375
transcript.pyannote[849].end 5651.29971875
transcript.pyannote[850].speaker SPEAKER_03
transcript.pyannote[850].start 5651.80596875
transcript.pyannote[850].end 5654.79284375
transcript.pyannote[851].speaker SPEAKER_03
transcript.pyannote[851].start 5655.26534375
transcript.pyannote[851].end 5659.50096875
transcript.pyannote[852].speaker SPEAKER_03
transcript.pyannote[852].start 5660.20971875
transcript.pyannote[852].end 5662.28534375
transcript.pyannote[853].speaker SPEAKER_03
transcript.pyannote[853].start 5662.62284375
transcript.pyannote[853].end 5667.65159375
transcript.pyannote[854].speaker SPEAKER_03
transcript.pyannote[854].start 5668.42784375
transcript.pyannote[854].end 5670.25034375
transcript.pyannote[855].speaker SPEAKER_24
transcript.pyannote[855].start 5678.08034375
transcript.pyannote[855].end 5680.47659375
transcript.pyannote[856].speaker SPEAKER_03
transcript.pyannote[856].start 5681.23596875
transcript.pyannote[856].end 5682.73784375
transcript.pyannote[857].speaker SPEAKER_30
transcript.pyannote[857].start 5689.65659375
transcript.pyannote[857].end 5691.63096875
transcript.pyannote[858].speaker SPEAKER_24
transcript.pyannote[858].start 5690.60159375
transcript.pyannote[858].end 5690.82096875
transcript.pyannote[859].speaker SPEAKER_24
transcript.pyannote[859].start 5691.79971875
transcript.pyannote[859].end 5700.13596875
transcript.pyannote[860].speaker SPEAKER_24
transcript.pyannote[860].start 5700.30471875
transcript.pyannote[860].end 5701.04721875
transcript.pyannote[861].speaker SPEAKER_24
transcript.pyannote[861].start 5701.08096875
transcript.pyannote[861].end 5713.88909375
transcript.pyannote[862].speaker SPEAKER_24
transcript.pyannote[862].start 5714.41221875
transcript.pyannote[862].end 5743.25159375
transcript.pyannote[863].speaker SPEAKER_24
transcript.pyannote[863].start 5743.77471875
transcript.pyannote[863].end 5746.15409375
transcript.pyannote[864].speaker SPEAKER_24
transcript.pyannote[864].start 5746.37346875
transcript.pyannote[864].end 5756.93721875
transcript.pyannote[865].speaker SPEAKER_30
transcript.pyannote[865].start 5756.93721875
transcript.pyannote[865].end 5757.49409375
transcript.pyannote[866].speaker SPEAKER_24
transcript.pyannote[866].start 5757.32534375
transcript.pyannote[866].end 5779.02659375
transcript.pyannote[867].speaker SPEAKER_24
transcript.pyannote[867].start 5779.29659375
transcript.pyannote[867].end 5784.93284375
transcript.pyannote[868].speaker SPEAKER_07
transcript.pyannote[868].start 5785.11846875
transcript.pyannote[868].end 5785.45596875
transcript.pyannote[869].speaker SPEAKER_24
transcript.pyannote[869].start 5785.52346875
transcript.pyannote[869].end 5797.38659375
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 5793.50534375
transcript.pyannote[870].end 5793.91034375
transcript.pyannote[871].speaker SPEAKER_24
transcript.pyannote[871].start 5797.89284375
transcript.pyannote[871].end 5799.51284375
transcript.pyannote[872].speaker SPEAKER_24
transcript.pyannote[872].start 5799.81659375
transcript.pyannote[872].end 5818.63221875
transcript.pyannote[873].speaker SPEAKER_10
transcript.pyannote[873].start 5816.38784375
transcript.pyannote[873].end 5816.40471875
transcript.pyannote[874].speaker SPEAKER_30
transcript.pyannote[874].start 5816.40471875
transcript.pyannote[874].end 5816.86034375
transcript.pyannote[875].speaker SPEAKER_30
transcript.pyannote[875].start 5819.05409375
transcript.pyannote[875].end 5841.59909375
transcript.pyannote[876].speaker SPEAKER_29
transcript.pyannote[876].start 5832.68909375
transcript.pyannote[876].end 5834.22471875
transcript.pyannote[877].speaker SPEAKER_22
transcript.pyannote[877].start 5840.50221875
transcript.pyannote[877].end 5848.36596875
transcript.pyannote[878].speaker SPEAKER_30
transcript.pyannote[878].start 5843.20221875
transcript.pyannote[878].end 5843.96159375
transcript.pyannote[879].speaker SPEAKER_30
transcript.pyannote[879].start 5846.86409375
transcript.pyannote[879].end 5862.32159375
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 5856.75284375
transcript.pyannote[880].end 5857.02284375
transcript.pyannote[881].speaker SPEAKER_24
transcript.pyannote[881].start 5857.02284375
transcript.pyannote[881].end 5858.40659375
transcript.pyannote[882].speaker SPEAKER_01
transcript.pyannote[882].start 5858.59221875
transcript.pyannote[882].end 5858.60909375
transcript.pyannote[883].speaker SPEAKER_24
transcript.pyannote[883].start 5858.60909375
transcript.pyannote[883].end 5859.25034375
transcript.pyannote[884].speaker SPEAKER_24
transcript.pyannote[884].start 5860.83659375
transcript.pyannote[884].end 5888.22471875
transcript.pyannote[885].speaker SPEAKER_30
transcript.pyannote[885].start 5868.07596875
transcript.pyannote[885].end 5868.58221875
transcript.pyannote[886].speaker SPEAKER_00
transcript.pyannote[886].start 5868.58221875
transcript.pyannote[886].end 5868.63284375
transcript.pyannote[887].speaker SPEAKER_22
transcript.pyannote[887].start 5870.84346875
transcript.pyannote[887].end 5871.90659375
transcript.pyannote[888].speaker SPEAKER_22
transcript.pyannote[888].start 5883.66846875
transcript.pyannote[888].end 5883.70221875
transcript.pyannote[889].speaker SPEAKER_30
transcript.pyannote[889].start 5883.70221875
transcript.pyannote[889].end 5887.17846875
transcript.pyannote[890].speaker SPEAKER_30
transcript.pyannote[890].start 5888.27534375
transcript.pyannote[890].end 5890.18221875
transcript.pyannote[891].speaker SPEAKER_24
transcript.pyannote[891].start 5890.87409375
transcript.pyannote[891].end 5892.00471875
transcript.pyannote[892].speaker SPEAKER_30
transcript.pyannote[892].start 5892.12284375
transcript.pyannote[892].end 5892.52784375
transcript.pyannote[893].speaker SPEAKER_24
transcript.pyannote[893].start 5892.83159375
transcript.pyannote[893].end 5897.62409375
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 5898.83909375
transcript.pyannote[894].end 5900.27346875
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 5901.37034375
transcript.pyannote[895].end 5903.42909375
transcript.pyannote[896].speaker SPEAKER_24
transcript.pyannote[896].start 5901.94409375
transcript.pyannote[896].end 5903.15909375
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 5903.74971875
transcript.pyannote[897].end 5904.07034375
transcript.pyannote[898].speaker SPEAKER_24
transcript.pyannote[898].start 5905.08284375
transcript.pyannote[898].end 5905.80846875
transcript.pyannote[899].speaker SPEAKER_24
transcript.pyannote[899].start 5906.36534375
transcript.pyannote[899].end 5910.02721875
transcript.pyannote[900].speaker SPEAKER_24
transcript.pyannote[900].start 5910.48284375
transcript.pyannote[900].end 5916.59159375
transcript.pyannote[901].speaker SPEAKER_30
transcript.pyannote[901].start 5915.25846875
transcript.pyannote[901].end 5915.34284375
transcript.pyannote[902].speaker SPEAKER_30
transcript.pyannote[902].start 5916.49034375
transcript.pyannote[902].end 5917.18221875
transcript.pyannote[903].speaker SPEAKER_24
transcript.pyannote[903].start 5917.55346875
transcript.pyannote[903].end 5926.22721875
transcript.pyannote[904].speaker SPEAKER_24
transcript.pyannote[904].start 5926.90221875
transcript.pyannote[904].end 5929.39971875
transcript.pyannote[905].speaker SPEAKER_30
transcript.pyannote[905].start 5928.94409375
transcript.pyannote[905].end 5934.85034375
transcript.pyannote[906].speaker SPEAKER_24
transcript.pyannote[906].start 5931.57659375
transcript.pyannote[906].end 5939.50784375
transcript.pyannote[907].speaker SPEAKER_24
transcript.pyannote[907].start 5939.86221875
transcript.pyannote[907].end 5947.28721875
transcript.pyannote[908].speaker SPEAKER_24
transcript.pyannote[908].start 5947.99596875
transcript.pyannote[908].end 5951.38784375
transcript.pyannote[909].speaker SPEAKER_24
transcript.pyannote[909].start 5951.59034375
transcript.pyannote[909].end 5953.04159375
transcript.pyannote[910].speaker SPEAKER_24
transcript.pyannote[910].start 5953.26096875
transcript.pyannote[910].end 5968.78596875
transcript.pyannote[911].speaker SPEAKER_24
transcript.pyannote[911].start 5968.83659375
transcript.pyannote[911].end 5969.61284375
transcript.pyannote[912].speaker SPEAKER_24
transcript.pyannote[912].start 5970.10221875
transcript.pyannote[912].end 5973.74721875
transcript.pyannote[913].speaker SPEAKER_01
transcript.pyannote[913].start 5972.12721875
transcript.pyannote[913].end 5972.14409375
transcript.pyannote[914].speaker SPEAKER_22
transcript.pyannote[914].start 5972.14409375
transcript.pyannote[914].end 5972.26221875
transcript.pyannote[915].speaker SPEAKER_24
transcript.pyannote[915].start 5974.18596875
transcript.pyannote[915].end 5977.52721875
transcript.pyannote[916].speaker SPEAKER_24
transcript.pyannote[916].start 5977.78034375
transcript.pyannote[916].end 5985.03659375
transcript.pyannote[917].speaker SPEAKER_24
transcript.pyannote[917].start 5985.66096875
transcript.pyannote[917].end 6002.06346875
transcript.pyannote[918].speaker SPEAKER_24
transcript.pyannote[918].start 6002.11409375
transcript.pyannote[918].end 6010.50096875
transcript.pyannote[919].speaker SPEAKER_22
transcript.pyannote[919].start 6009.72471875
transcript.pyannote[919].end 6010.97346875
transcript.pyannote[920].speaker SPEAKER_24
transcript.pyannote[920].start 6010.65284375
transcript.pyannote[920].end 6025.65471875
transcript.pyannote[921].speaker SPEAKER_24
transcript.pyannote[921].start 6026.22846875
transcript.pyannote[921].end 6027.88221875
transcript.pyannote[922].speaker SPEAKER_24
transcript.pyannote[922].start 6028.01721875
transcript.pyannote[922].end 6028.55721875
transcript.pyannote[923].speaker SPEAKER_24
transcript.pyannote[923].start 6028.64159375
transcript.pyannote[923].end 6030.88596875
transcript.pyannote[924].speaker SPEAKER_24
transcript.pyannote[924].start 6032.08409375
transcript.pyannote[924].end 6035.18909375
transcript.pyannote[925].speaker SPEAKER_04
transcript.pyannote[925].start 6036.40409375
transcript.pyannote[925].end 6037.68659375
transcript.pyannote[926].speaker SPEAKER_24
transcript.pyannote[926].start 6038.04096875
transcript.pyannote[926].end 6038.32784375
transcript.pyannote[927].speaker SPEAKER_24
transcript.pyannote[927].start 6038.53034375
transcript.pyannote[927].end 6051.76034375
transcript.pyannote[928].speaker SPEAKER_04
transcript.pyannote[928].start 6050.49471875
transcript.pyannote[928].end 6050.93346875
transcript.pyannote[929].speaker SPEAKER_24
transcript.pyannote[929].start 6052.04721875
transcript.pyannote[929].end 6053.02596875
transcript.pyannote[930].speaker SPEAKER_04
transcript.pyannote[930].start 6053.29596875
transcript.pyannote[930].end 6055.06784375
transcript.pyannote[931].speaker SPEAKER_24
transcript.pyannote[931].start 6053.93721875
transcript.pyannote[931].end 6058.79721875
transcript.pyannote[932].speaker SPEAKER_24
transcript.pyannote[932].start 6059.45534375
transcript.pyannote[932].end 6067.58909375
transcript.pyannote[933].speaker SPEAKER_24
transcript.pyannote[933].start 6067.80846875
transcript.pyannote[933].end 6069.37784375
transcript.pyannote[934].speaker SPEAKER_24
transcript.pyannote[934].start 6069.79971875
transcript.pyannote[934].end 6070.81221875
transcript.pyannote[935].speaker SPEAKER_24
transcript.pyannote[935].start 6071.16659375
transcript.pyannote[935].end 6075.63846875
transcript.pyannote[936].speaker SPEAKER_24
transcript.pyannote[936].start 6076.41471875
transcript.pyannote[936].end 6079.14846875
transcript.pyannote[937].speaker SPEAKER_24
transcript.pyannote[937].start 6079.68846875
transcript.pyannote[937].end 6081.17346875
transcript.pyannote[938].speaker SPEAKER_24
transcript.pyannote[938].start 6081.29159375
transcript.pyannote[938].end 6089.86409375
transcript.pyannote[939].speaker SPEAKER_30
transcript.pyannote[939].start 6090.23534375
transcript.pyannote[939].end 6103.11096875
transcript.pyannote[940].speaker SPEAKER_24
transcript.pyannote[940].start 6102.40221875
transcript.pyannote[940].end 6104.52846875
transcript.pyannote[941].speaker SPEAKER_24
transcript.pyannote[941].start 6104.96721875
transcript.pyannote[941].end 6105.30471875
transcript.pyannote[942].speaker SPEAKER_30
transcript.pyannote[942].start 6105.30471875
transcript.pyannote[942].end 6107.31284375
transcript.pyannote[943].speaker SPEAKER_24
transcript.pyannote[943].start 6105.32159375
transcript.pyannote[943].end 6105.37221875
transcript.pyannote[944].speaker SPEAKER_24
transcript.pyannote[944].start 6106.16534375
transcript.pyannote[944].end 6112.91534375
transcript.pyannote[945].speaker SPEAKER_01
transcript.pyannote[945].start 6112.98284375
transcript.pyannote[945].end 6113.32034375
transcript.pyannote[946].speaker SPEAKER_24
transcript.pyannote[946].start 6113.16846875
transcript.pyannote[946].end 6114.63659375
transcript.pyannote[947].speaker SPEAKER_24
transcript.pyannote[947].start 6115.32846875
transcript.pyannote[947].end 6123.10784375
transcript.pyannote[948].speaker SPEAKER_04
transcript.pyannote[948].start 6123.25971875
transcript.pyannote[948].end 6127.57971875
transcript.pyannote[949].speaker SPEAKER_24
transcript.pyannote[949].start 6126.83721875
transcript.pyannote[949].end 6133.80659375
transcript.pyannote[950].speaker SPEAKER_24
transcript.pyannote[950].start 6133.90784375
transcript.pyannote[950].end 6153.75284375
transcript.pyannote[951].speaker SPEAKER_24
transcript.pyannote[951].start 6155.03534375
transcript.pyannote[951].end 6158.39346875
transcript.pyannote[952].speaker SPEAKER_30
transcript.pyannote[952].start 6156.75659375
transcript.pyannote[952].end 6160.45221875
transcript.pyannote[953].speaker SPEAKER_24
transcript.pyannote[953].start 6159.08534375
transcript.pyannote[953].end 6161.76846875
transcript.pyannote[954].speaker SPEAKER_24
transcript.pyannote[954].start 6162.69659375
transcript.pyannote[954].end 6168.53534375
transcript.pyannote[955].speaker SPEAKER_24
transcript.pyannote[955].start 6169.53096875
transcript.pyannote[955].end 6172.68659375
transcript.pyannote[956].speaker SPEAKER_04
transcript.pyannote[956].start 6172.70346875
transcript.pyannote[956].end 6179.03159375
transcript.pyannote[957].speaker SPEAKER_04
transcript.pyannote[957].start 6179.36909375
transcript.pyannote[957].end 6188.11034375
transcript.pyannote[958].speaker SPEAKER_04
transcript.pyannote[958].start 6188.53221875
transcript.pyannote[958].end 6193.74659375
transcript.pyannote[959].speaker SPEAKER_24
transcript.pyannote[959].start 6192.59909375
transcript.pyannote[959].end 6192.80159375
transcript.pyannote[960].speaker SPEAKER_24
transcript.pyannote[960].start 6192.83534375
transcript.pyannote[960].end 6192.86909375
transcript.pyannote[961].speaker SPEAKER_24
transcript.pyannote[961].start 6193.81409375
transcript.pyannote[961].end 6199.66971875
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 6199.51784375
transcript.pyannote[962].end 6200.90159375
transcript.pyannote[963].speaker SPEAKER_24
transcript.pyannote[963].start 6200.31096875
transcript.pyannote[963].end 6210.73971875
transcript.pyannote[964].speaker SPEAKER_04
transcript.pyannote[964].start 6201.40784375
transcript.pyannote[964].end 6203.97284375
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 6205.08659375
transcript.pyannote[965].end 6205.10346875
transcript.pyannote[966].speaker SPEAKER_01
transcript.pyannote[966].start 6205.10346875
transcript.pyannote[966].end 6205.55909375
transcript.pyannote[967].speaker SPEAKER_04
transcript.pyannote[967].start 6205.55909375
transcript.pyannote[967].end 6205.59284375
transcript.pyannote[968].speaker SPEAKER_01
transcript.pyannote[968].start 6205.59284375
transcript.pyannote[968].end 6205.62659375
transcript.pyannote[969].speaker SPEAKER_24
transcript.pyannote[969].start 6210.90846875
transcript.pyannote[969].end 6223.19346875
transcript.pyannote[970].speaker SPEAKER_24
transcript.pyannote[970].start 6223.66596875
transcript.pyannote[970].end 6232.30596875
transcript.pyannote[971].speaker SPEAKER_24
transcript.pyannote[971].start 6232.37346875
transcript.pyannote[971].end 6250.90221875
transcript.pyannote[972].speaker SPEAKER_30
transcript.pyannote[972].start 6250.90221875
transcript.pyannote[972].end 6259.67721875
transcript.pyannote[973].speaker SPEAKER_24
transcript.pyannote[973].start 6250.91909375
transcript.pyannote[973].end 6250.95284375
transcript.pyannote[974].speaker SPEAKER_00
transcript.pyannote[974].start 6259.06971875
transcript.pyannote[974].end 6259.10346875
transcript.pyannote[975].speaker SPEAKER_24
transcript.pyannote[975].start 6259.10346875
transcript.pyannote[975].end 6273.66659375
transcript.pyannote[976].speaker SPEAKER_30
transcript.pyannote[976].start 6259.81221875
transcript.pyannote[976].end 6263.89596875
transcript.pyannote[977].speaker SPEAKER_00
transcript.pyannote[977].start 6263.89596875
transcript.pyannote[977].end 6263.92971875
transcript.pyannote[978].speaker SPEAKER_04
transcript.pyannote[978].start 6269.17784375
transcript.pyannote[978].end 6271.30409375
transcript.pyannote[979].speaker SPEAKER_04
transcript.pyannote[979].start 6271.67534375
transcript.pyannote[979].end 6285.63096875
transcript.pyannote[980].speaker SPEAKER_24
transcript.pyannote[980].start 6279.89346875
transcript.pyannote[980].end 6280.60221875
transcript.pyannote[981].speaker SPEAKER_24
transcript.pyannote[981].start 6280.65284375
transcript.pyannote[981].end 6280.66971875
transcript.pyannote[982].speaker SPEAKER_24
transcript.pyannote[982].start 6280.70346875
transcript.pyannote[982].end 6281.37846875
transcript.pyannote[983].speaker SPEAKER_22
transcript.pyannote[983].start 6281.37846875
transcript.pyannote[983].end 6281.56409375
transcript.pyannote[984].speaker SPEAKER_24
transcript.pyannote[984].start 6281.56409375
transcript.pyannote[984].end 6281.59784375
transcript.pyannote[985].speaker SPEAKER_22
transcript.pyannote[985].start 6281.59784375
transcript.pyannote[985].end 6281.66534375
transcript.pyannote[986].speaker SPEAKER_24
transcript.pyannote[986].start 6284.46659375
transcript.pyannote[986].end 6301.78034375
transcript.pyannote[987].speaker SPEAKER_04
transcript.pyannote[987].start 6301.39221875
transcript.pyannote[987].end 6301.44284375
transcript.pyannote[988].speaker SPEAKER_30
transcript.pyannote[988].start 6301.44284375
transcript.pyannote[988].end 6302.57346875
transcript.pyannote[989].speaker SPEAKER_24
transcript.pyannote[989].start 6301.94909375
transcript.pyannote[989].end 6305.29034375
transcript.pyannote[990].speaker SPEAKER_04
transcript.pyannote[990].start 6302.57346875
transcript.pyannote[990].end 6302.59034375
transcript.pyannote[991].speaker SPEAKER_30
transcript.pyannote[991].start 6303.63659375
transcript.pyannote[991].end 6309.15471875
transcript.pyannote[992].speaker SPEAKER_24
transcript.pyannote[992].start 6306.75846875
transcript.pyannote[992].end 6307.09596875
transcript.pyannote[993].speaker SPEAKER_30
transcript.pyannote[993].start 6309.23909375
transcript.pyannote[993].end 6309.40784375
transcript.pyannote[994].speaker SPEAKER_24
transcript.pyannote[994].start 6309.40784375
transcript.pyannote[994].end 6316.59659375
transcript.pyannote[995].speaker SPEAKER_24
transcript.pyannote[995].start 6317.20409375
transcript.pyannote[995].end 6317.54159375
transcript.pyannote[996].speaker SPEAKER_24
transcript.pyannote[996].start 6318.67221875
transcript.pyannote[996].end 6321.81096875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 6322.48596875
transcript.pyannote[997].end 6327.49784375
transcript.pyannote[998].speaker SPEAKER_24
transcript.pyannote[998].start 6327.97034375
transcript.pyannote[998].end 6345.26721875
transcript.pyannote[999].speaker SPEAKER_24
transcript.pyannote[999].start 6345.65534375
transcript.pyannote[999].end 6348.42284375
transcript.pyannote[1000].speaker SPEAKER_24
transcript.pyannote[1000].start 6348.77721875
transcript.pyannote[1000].end 6362.90159375
transcript.pyannote[1001].speaker SPEAKER_24
transcript.pyannote[1001].start 6363.27284375
transcript.pyannote[1001].end 6369.33096875
transcript.pyannote[1002].speaker SPEAKER_30
transcript.pyannote[1002].start 6370.07346875
transcript.pyannote[1002].end 6370.91721875
transcript.pyannote[1003].speaker SPEAKER_30
transcript.pyannote[1003].start 6371.11971875
transcript.pyannote[1003].end 6372.95909375
transcript.pyannote[1004].speaker SPEAKER_24
transcript.pyannote[1004].start 6373.36409375
transcript.pyannote[1004].end 6374.15721875
transcript.pyannote[1005].speaker SPEAKER_30
transcript.pyannote[1005].start 6374.20784375
transcript.pyannote[1005].end 6377.48159375
transcript.pyannote[1006].speaker SPEAKER_24
transcript.pyannote[1006].start 6375.94596875
transcript.pyannote[1006].end 6378.61221875
transcript.pyannote[1007].speaker SPEAKER_24
transcript.pyannote[1007].start 6379.16909375
transcript.pyannote[1007].end 6383.69159375
transcript.pyannote[1008].speaker SPEAKER_30
transcript.pyannote[1008].start 6383.53971875
transcript.pyannote[1008].end 6385.73346875
transcript.pyannote[1009].speaker SPEAKER_24
transcript.pyannote[1009].start 6386.34096875
transcript.pyannote[1009].end 6387.48846875
transcript.pyannote[1010].speaker SPEAKER_30
transcript.pyannote[1010].start 6388.09596875
transcript.pyannote[1010].end 6389.17596875
transcript.pyannote[1011].speaker SPEAKER_30
transcript.pyannote[1011].start 6389.51346875
transcript.pyannote[1011].end 6391.67346875
transcript.pyannote[1012].speaker SPEAKER_24
transcript.pyannote[1012].start 6391.62284375
transcript.pyannote[1012].end 6392.70284375
transcript.pyannote[1013].speaker SPEAKER_30
transcript.pyannote[1013].start 6392.70284375
transcript.pyannote[1013].end 6393.73221875
transcript.pyannote[1014].speaker SPEAKER_24
transcript.pyannote[1014].start 6393.58034375
transcript.pyannote[1014].end 6403.03034375
transcript.pyannote[1015].speaker SPEAKER_30
transcript.pyannote[1015].start 6396.93846875
transcript.pyannote[1015].end 6398.20409375
transcript.pyannote[1016].speaker SPEAKER_01
transcript.pyannote[1016].start 6398.20409375
transcript.pyannote[1016].end 6398.32221875
transcript.pyannote[1017].speaker SPEAKER_30
transcript.pyannote[1017].start 6403.03034375
transcript.pyannote[1017].end 6403.28346875
transcript.pyannote[1018].speaker SPEAKER_24
transcript.pyannote[1018].start 6403.28346875
transcript.pyannote[1018].end 6405.08909375
transcript.pyannote[1019].speaker SPEAKER_30
transcript.pyannote[1019].start 6406.06784375
transcript.pyannote[1019].end 6408.26159375
transcript.pyannote[1020].speaker SPEAKER_24
transcript.pyannote[1020].start 6406.15221875
transcript.pyannote[1020].end 6407.04659375
transcript.pyannote[1021].speaker SPEAKER_30
transcript.pyannote[1021].start 6409.07159375
transcript.pyannote[1021].end 6411.02909375
transcript.pyannote[1022].speaker SPEAKER_24
transcript.pyannote[1022].start 6411.28221875
transcript.pyannote[1022].end 6413.07096875
transcript.pyannote[1023].speaker SPEAKER_30
transcript.pyannote[1023].start 6413.32409375
transcript.pyannote[1023].end 6422.01471875
transcript.pyannote[1024].speaker SPEAKER_24
transcript.pyannote[1024].start 6421.06971875
transcript.pyannote[1024].end 6424.91721875
transcript.pyannote[1025].speaker SPEAKER_24
transcript.pyannote[1025].start 6425.33909375
transcript.pyannote[1025].end 6426.79034375
transcript.pyannote[1026].speaker SPEAKER_25
transcript.pyannote[1026].start 6426.97596875
transcript.pyannote[1026].end 6434.72159375
transcript.pyannote[1027].speaker SPEAKER_25
transcript.pyannote[1027].start 6434.89034375
transcript.pyannote[1027].end 6440.89784375
transcript.pyannote[1028].speaker SPEAKER_24
transcript.pyannote[1028].start 6439.69971875
transcript.pyannote[1028].end 6441.91034375
transcript.pyannote[1029].speaker SPEAKER_24
transcript.pyannote[1029].start 6442.55159375
transcript.pyannote[1029].end 6455.05596875
transcript.pyannote[1030].speaker SPEAKER_24
transcript.pyannote[1030].start 6455.25846875
transcript.pyannote[1030].end 6467.39159375
transcript.pyannote[1031].speaker SPEAKER_30
transcript.pyannote[1031].start 6466.81784375
transcript.pyannote[1031].end 6468.21846875
transcript.pyannote[1032].speaker SPEAKER_30
transcript.pyannote[1032].start 6468.65721875
transcript.pyannote[1032].end 6472.53846875
transcript.pyannote[1033].speaker SPEAKER_24
transcript.pyannote[1033].start 6468.89346875
transcript.pyannote[1033].end 6469.38284375
transcript.pyannote[1034].speaker SPEAKER_24
transcript.pyannote[1034].start 6471.39096875
transcript.pyannote[1034].end 6472.67346875
transcript.pyannote[1035].speaker SPEAKER_24
transcript.pyannote[1035].start 6472.90971875
transcript.pyannote[1035].end 6489.64971875
transcript.pyannote[1036].speaker SPEAKER_24
transcript.pyannote[1036].start 6489.85221875
transcript.pyannote[1036].end 6490.49346875
transcript.pyannote[1037].speaker SPEAKER_24
transcript.pyannote[1037].start 6491.10096875
transcript.pyannote[1037].end 6519.19784375
transcript.pyannote[1038].speaker SPEAKER_24
transcript.pyannote[1038].start 6519.63659375
transcript.pyannote[1038].end 6524.26034375
transcript.pyannote[1039].speaker SPEAKER_24
transcript.pyannote[1039].start 6525.30659375
transcript.pyannote[1039].end 6537.03471875
transcript.pyannote[1040].speaker SPEAKER_22
transcript.pyannote[1040].start 6525.71159375
transcript.pyannote[1040].end 6525.72846875
transcript.pyannote[1041].speaker SPEAKER_01
transcript.pyannote[1041].start 6525.72846875
transcript.pyannote[1041].end 6526.87596875
transcript.pyannote[1042].speaker SPEAKER_25
transcript.pyannote[1042].start 6537.33846875
transcript.pyannote[1042].end 6542.50221875
transcript.pyannote[1043].speaker SPEAKER_25
transcript.pyannote[1043].start 6542.73846875
transcript.pyannote[1043].end 6544.44284375
transcript.pyannote[1044].speaker SPEAKER_25
transcript.pyannote[1044].start 6544.67909375
transcript.pyannote[1044].end 6545.55659375
transcript.pyannote[1045].speaker SPEAKER_25
transcript.pyannote[1045].start 6545.82659375
transcript.pyannote[1045].end 6548.02034375
transcript.pyannote[1046].speaker SPEAKER_25
transcript.pyannote[1046].start 6548.64471875
transcript.pyannote[1046].end 6550.28159375
transcript.pyannote[1047].speaker SPEAKER_25
transcript.pyannote[1047].start 6550.43346875
transcript.pyannote[1047].end 6556.28909375
transcript.pyannote[1048].speaker SPEAKER_22
transcript.pyannote[1048].start 6555.39471875
transcript.pyannote[1048].end 6555.93471875
transcript.pyannote[1049].speaker SPEAKER_24
transcript.pyannote[1049].start 6555.93471875
transcript.pyannote[1049].end 6556.01909375
transcript.pyannote[1050].speaker SPEAKER_24
transcript.pyannote[1050].start 6556.28909375
transcript.pyannote[1050].end 6559.83284375
transcript.pyannote[1051].speaker SPEAKER_25
transcript.pyannote[1051].start 6556.57596875
transcript.pyannote[1051].end 6556.89659375
transcript.pyannote[1052].speaker SPEAKER_25
transcript.pyannote[1052].start 6559.14096875
transcript.pyannote[1052].end 6560.59221875
transcript.pyannote[1053].speaker SPEAKER_24
transcript.pyannote[1053].start 6560.28846875
transcript.pyannote[1053].end 6566.02596875
transcript.pyannote[1054].speaker SPEAKER_25
transcript.pyannote[1054].start 6563.03909375
transcript.pyannote[1054].end 6564.91221875
transcript.pyannote[1055].speaker SPEAKER_25
transcript.pyannote[1055].start 6565.30034375
transcript.pyannote[1055].end 6575.03721875
transcript.pyannote[1056].speaker SPEAKER_24
transcript.pyannote[1056].start 6571.34159375
transcript.pyannote[1056].end 6571.35846875
transcript.pyannote[1057].speaker SPEAKER_22
transcript.pyannote[1057].start 6571.35846875
transcript.pyannote[1057].end 6578.02409375
transcript.pyannote[1058].speaker SPEAKER_24
transcript.pyannote[1058].start 6575.03721875
transcript.pyannote[1058].end 6590.46096875
transcript.pyannote[1059].speaker SPEAKER_01
transcript.pyannote[1059].start 6578.02409375
transcript.pyannote[1059].end 6579.23909375
transcript.pyannote[1060].speaker SPEAKER_22
transcript.pyannote[1060].start 6579.23909375
transcript.pyannote[1060].end 6579.30659375
transcript.pyannote[1061].speaker SPEAKER_30
transcript.pyannote[1061].start 6588.55409375
transcript.pyannote[1061].end 6597.05909375
transcript.pyannote[1062].speaker SPEAKER_25
transcript.pyannote[1062].start 6590.46096875
transcript.pyannote[1062].end 6590.66346875
transcript.pyannote[1063].speaker SPEAKER_24
transcript.pyannote[1063].start 6590.66346875
transcript.pyannote[1063].end 6590.73096875
transcript.pyannote[1064].speaker SPEAKER_25
transcript.pyannote[1064].start 6590.73096875
transcript.pyannote[1064].end 6590.88284375
transcript.pyannote[1065].speaker SPEAKER_24
transcript.pyannote[1065].start 6590.88284375
transcript.pyannote[1065].end 6591.35534375
transcript.pyannote[1066].speaker SPEAKER_25
transcript.pyannote[1066].start 6591.82784375
transcript.pyannote[1066].end 6592.18221875
transcript.pyannote[1067].speaker SPEAKER_24
transcript.pyannote[1067].start 6597.27846875
transcript.pyannote[1067].end 6597.56534375
transcript.pyannote[1068].speaker SPEAKER_24
transcript.pyannote[1068].start 6598.10534375
transcript.pyannote[1068].end 6601.26096875
transcript.pyannote[1069].speaker SPEAKER_03
transcript.pyannote[1069].start 6614.11971875
transcript.pyannote[1069].end 6618.18659375
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 6618.54096875
transcript.pyannote[1070].end 6621.05534375
transcript.pyannote[1071].speaker SPEAKER_03
transcript.pyannote[1071].start 6621.89909375
transcript.pyannote[1071].end 6623.78909375
transcript.pyannote[1072].speaker SPEAKER_08
transcript.pyannote[1072].start 6635.36534375
transcript.pyannote[1072].end 6635.66909375
transcript.pyannote[1073].speaker SPEAKER_08
transcript.pyannote[1073].start 6636.25971875
transcript.pyannote[1073].end 6638.75721875
transcript.pyannote[1074].speaker SPEAKER_03
transcript.pyannote[1074].start 6638.85846875
transcript.pyannote[1074].end 6640.00596875
transcript.pyannote[1075].speaker SPEAKER_30
transcript.pyannote[1075].start 6646.04721875
transcript.pyannote[1075].end 6648.76409375
transcript.pyannote[1076].speaker SPEAKER_08
transcript.pyannote[1076].start 6649.20284375
transcript.pyannote[1076].end 6652.12221875
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 6653.33721875
transcript.pyannote[1077].end 6717.81659375
transcript.pyannote[1078].speaker SPEAKER_08
transcript.pyannote[1078].start 6718.54221875
transcript.pyannote[1078].end 6754.68846875
transcript.pyannote[1079].speaker SPEAKER_08
transcript.pyannote[1079].start 6755.16096875
transcript.pyannote[1079].end 6758.23221875
transcript.pyannote[1080].speaker SPEAKER_08
transcript.pyannote[1080].start 6758.68784375
transcript.pyannote[1080].end 6788.79284375
transcript.pyannote[1081].speaker SPEAKER_08
transcript.pyannote[1081].start 6789.01221875
transcript.pyannote[1081].end 6798.27659375
transcript.pyannote[1082].speaker SPEAKER_30
transcript.pyannote[1082].start 6798.90096875
transcript.pyannote[1082].end 6804.21659375
transcript.pyannote[1083].speaker SPEAKER_08
transcript.pyannote[1083].start 6802.36034375
transcript.pyannote[1083].end 6805.88721875
transcript.pyannote[1084].speaker SPEAKER_30
transcript.pyannote[1084].start 6804.62159375
transcript.pyannote[1084].end 6805.92096875
transcript.pyannote[1085].speaker SPEAKER_08
transcript.pyannote[1085].start 6805.92096875
transcript.pyannote[1085].end 6805.97159375
transcript.pyannote[1086].speaker SPEAKER_30
transcript.pyannote[1086].start 6805.97159375
transcript.pyannote[1086].end 6821.90159375
transcript.pyannote[1087].speaker SPEAKER_08
transcript.pyannote[1087].start 6806.17409375
transcript.pyannote[1087].end 6806.24159375
transcript.pyannote[1088].speaker SPEAKER_08
transcript.pyannote[1088].start 6820.61909375
transcript.pyannote[1088].end 6837.44346875
transcript.pyannote[1089].speaker SPEAKER_30
transcript.pyannote[1089].start 6833.15721875
transcript.pyannote[1089].end 6834.70971875
transcript.pyannote[1090].speaker SPEAKER_30
transcript.pyannote[1090].start 6836.26221875
transcript.pyannote[1090].end 6837.57846875
transcript.pyannote[1091].speaker SPEAKER_08
transcript.pyannote[1091].start 6838.18596875
transcript.pyannote[1091].end 6838.77659375
transcript.pyannote[1092].speaker SPEAKER_30
transcript.pyannote[1092].start 6838.97909375
transcript.pyannote[1092].end 6840.80159375
transcript.pyannote[1093].speaker SPEAKER_08
transcript.pyannote[1093].start 6839.72159375
transcript.pyannote[1093].end 6846.58971875
transcript.pyannote[1094].speaker SPEAKER_30
transcript.pyannote[1094].start 6841.05471875
transcript.pyannote[1094].end 6841.96596875
transcript.pyannote[1095].speaker SPEAKER_30
transcript.pyannote[1095].start 6842.30346875
transcript.pyannote[1095].end 6847.24784375
transcript.pyannote[1096].speaker SPEAKER_08
transcript.pyannote[1096].start 6847.24784375
transcript.pyannote[1096].end 6863.97096875
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 6864.54471875
transcript.pyannote[1097].end 6866.43471875
transcript.pyannote[1098].speaker SPEAKER_08
transcript.pyannote[1098].start 6866.73846875
transcript.pyannote[1098].end 6872.91471875
transcript.pyannote[1099].speaker SPEAKER_08
transcript.pyannote[1099].start 6873.52221875
transcript.pyannote[1099].end 6899.30721875
transcript.pyannote[1100].speaker SPEAKER_08
transcript.pyannote[1100].start 6899.64471875
transcript.pyannote[1100].end 6907.40721875
transcript.pyannote[1101].speaker SPEAKER_08
transcript.pyannote[1101].start 6907.82909375
transcript.pyannote[1101].end 6913.19534375
transcript.pyannote[1102].speaker SPEAKER_08
transcript.pyannote[1102].start 6913.66784375
transcript.pyannote[1102].end 6939.46971875
transcript.pyannote[1103].speaker SPEAKER_08
transcript.pyannote[1103].start 6940.06034375
transcript.pyannote[1103].end 6962.31846875
transcript.pyannote[1104].speaker SPEAKER_08
transcript.pyannote[1104].start 6962.80784375
transcript.pyannote[1104].end 6991.37721875
transcript.pyannote[1105].speaker SPEAKER_22
transcript.pyannote[1105].start 6970.75596875
transcript.pyannote[1105].end 6970.95846875
transcript.pyannote[1106].speaker SPEAKER_22
transcript.pyannote[1106].start 6971.97096875
transcript.pyannote[1106].end 6972.24096875
transcript.pyannote[1107].speaker SPEAKER_08
transcript.pyannote[1107].start 6991.93409375
transcript.pyannote[1107].end 6993.08159375
transcript.pyannote[1108].speaker SPEAKER_08
transcript.pyannote[1108].start 6993.62159375
transcript.pyannote[1108].end 7022.07284375
transcript.pyannote[1109].speaker SPEAKER_01
transcript.pyannote[1109].start 7007.49284375
transcript.pyannote[1109].end 7007.96534375
transcript.pyannote[1110].speaker SPEAKER_00
transcript.pyannote[1110].start 7007.96534375
transcript.pyannote[1110].end 7009.11284375
transcript.pyannote[1111].speaker SPEAKER_00
transcript.pyannote[1111].start 7011.62721875
transcript.pyannote[1111].end 7011.66096875
transcript.pyannote[1112].speaker SPEAKER_01
transcript.pyannote[1112].start 7011.66096875
transcript.pyannote[1112].end 7012.09971875
transcript.pyannote[1113].speaker SPEAKER_08
transcript.pyannote[1113].start 7023.03471875
transcript.pyannote[1113].end 7025.02596875
transcript.pyannote[1114].speaker SPEAKER_30
transcript.pyannote[1114].start 7023.06846875
transcript.pyannote[1114].end 7024.62096875
transcript.pyannote[1115].speaker SPEAKER_30
transcript.pyannote[1115].start 7025.02596875
transcript.pyannote[1115].end 7044.19596875
transcript.pyannote[1116].speaker SPEAKER_08
transcript.pyannote[1116].start 7044.36471875
transcript.pyannote[1116].end 7124.31846875
transcript.pyannote[1117].speaker SPEAKER_30
transcript.pyannote[1117].start 7047.41909375
transcript.pyannote[1117].end 7048.14471875
transcript.pyannote[1118].speaker SPEAKER_30
transcript.pyannote[1118].start 7048.51596875
transcript.pyannote[1118].end 7050.57471875
transcript.pyannote[1119].speaker SPEAKER_01
transcript.pyannote[1119].start 7050.57471875
transcript.pyannote[1119].end 7050.60846875
transcript.pyannote[1120].speaker SPEAKER_01
transcript.pyannote[1120].start 7051.38471875
transcript.pyannote[1120].end 7051.41846875
transcript.pyannote[1121].speaker SPEAKER_30
transcript.pyannote[1121].start 7051.41846875
transcript.pyannote[1121].end 7051.78971875
transcript.pyannote[1122].speaker SPEAKER_01
transcript.pyannote[1122].start 7051.78971875
transcript.pyannote[1122].end 7051.85721875
transcript.pyannote[1123].speaker SPEAKER_01
transcript.pyannote[1123].start 7054.06784375
transcript.pyannote[1123].end 7056.27846875
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 7124.33534375
transcript.pyannote[1124].end 7148.55096875
transcript.pyannote[1125].speaker SPEAKER_08
transcript.pyannote[1125].start 7149.63096875
transcript.pyannote[1125].end 7158.54096875
transcript.pyannote[1126].speaker SPEAKER_08
transcript.pyannote[1126].start 7158.65909375
transcript.pyannote[1126].end 7164.21096875
transcript.pyannote[1127].speaker SPEAKER_08
transcript.pyannote[1127].start 7164.59909375
transcript.pyannote[1127].end 7175.92221875
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 7176.34409375
transcript.pyannote[1128].end 7189.60784375
transcript.pyannote[1129].speaker SPEAKER_08
transcript.pyannote[1129].start 7189.91159375
transcript.pyannote[1129].end 7202.39909375
transcript.pyannote[1130].speaker SPEAKER_01
transcript.pyannote[1130].start 7202.53409375
transcript.pyannote[1130].end 7202.97284375
transcript.pyannote[1131].speaker SPEAKER_08
transcript.pyannote[1131].start 7202.65221875
transcript.pyannote[1131].end 7204.69409375
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 7204.99784375
transcript.pyannote[1132].end 7236.03096875
transcript.pyannote[1133].speaker SPEAKER_08
transcript.pyannote[1133].start 7236.11534375
transcript.pyannote[1133].end 7242.81471875
transcript.pyannote[1134].speaker SPEAKER_08
transcript.pyannote[1134].start 7243.48971875
transcript.pyannote[1134].end 7253.73284375
transcript.pyannote[1135].speaker SPEAKER_00
transcript.pyannote[1135].start 7253.32784375
transcript.pyannote[1135].end 7253.44596875
transcript.pyannote[1136].speaker SPEAKER_01
transcript.pyannote[1136].start 7253.44596875
transcript.pyannote[1136].end 7253.49659375
transcript.pyannote[1137].speaker SPEAKER_00
transcript.pyannote[1137].start 7253.49659375
transcript.pyannote[1137].end 7253.56409375
transcript.pyannote[1138].speaker SPEAKER_08
transcript.pyannote[1138].start 7254.18846875
transcript.pyannote[1138].end 7293.72659375
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 7294.65471875
transcript.pyannote[1139].end 7295.51534375
transcript.pyannote[1140].speaker SPEAKER_08
transcript.pyannote[1140].start 7295.70096875
transcript.pyannote[1140].end 7300.35846875
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 7300.59471875
transcript.pyannote[1141].end 7300.98284375
transcript.pyannote[1142].speaker SPEAKER_08
transcript.pyannote[1142].start 7301.75909375
transcript.pyannote[1142].end 7303.81784375
transcript.pyannote[1143].speaker SPEAKER_08
transcript.pyannote[1143].start 7303.98659375
transcript.pyannote[1143].end 7321.82346875
transcript.pyannote[1144].speaker SPEAKER_08
transcript.pyannote[1144].start 7322.00909375
transcript.pyannote[1144].end 7365.61409375
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 7365.90096875
transcript.pyannote[1145].end 7380.05909375
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 7380.44721875
transcript.pyannote[1146].end 7398.97596875
transcript.pyannote[1147].speaker SPEAKER_30
transcript.pyannote[1147].start 7398.97596875
transcript.pyannote[1147].end 7424.03534375
transcript.pyannote[1148].speaker SPEAKER_04
transcript.pyannote[1148].start 7424.03534375
transcript.pyannote[1148].end 7424.67659375
transcript.pyannote[1149].speaker SPEAKER_30
transcript.pyannote[1149].start 7424.67659375
transcript.pyannote[1149].end 7424.91284375
transcript.pyannote[1150].speaker SPEAKER_04
transcript.pyannote[1150].start 7424.91284375
transcript.pyannote[1150].end 7424.98034375
transcript.pyannote[1151].speaker SPEAKER_04
transcript.pyannote[1151].start 7425.52034375
transcript.pyannote[1151].end 7475.85846875
transcript.pyannote[1152].speaker SPEAKER_08
transcript.pyannote[1152].start 7475.13284375
transcript.pyannote[1152].end 7488.90284375
transcript.pyannote[1153].speaker SPEAKER_04
transcript.pyannote[1153].start 7480.88721875
transcript.pyannote[1153].end 7483.51971875
transcript.pyannote[1154].speaker SPEAKER_01
transcript.pyannote[1154].start 7483.51971875
transcript.pyannote[1154].end 7483.65471875
transcript.pyannote[1155].speaker SPEAKER_04
transcript.pyannote[1155].start 7483.65471875
transcript.pyannote[1155].end 7483.67159375
transcript.pyannote[1156].speaker SPEAKER_01
transcript.pyannote[1156].start 7483.67159375
transcript.pyannote[1156].end 7483.68846875
transcript.pyannote[1157].speaker SPEAKER_04
transcript.pyannote[1157].start 7483.68846875
transcript.pyannote[1157].end 7483.70534375
transcript.pyannote[1158].speaker SPEAKER_01
transcript.pyannote[1158].start 7483.70534375
transcript.pyannote[1158].end 7484.21159375
transcript.pyannote[1159].speaker SPEAKER_29
transcript.pyannote[1159].start 7484.21159375
transcript.pyannote[1159].end 7484.97096875
transcript.pyannote[1160].speaker SPEAKER_04
transcript.pyannote[1160].start 7484.97096875
transcript.pyannote[1160].end 7485.86534375
transcript.pyannote[1161].speaker SPEAKER_01
transcript.pyannote[1161].start 7485.86534375
transcript.pyannote[1161].end 7485.91596875
transcript.pyannote[1162].speaker SPEAKER_08
transcript.pyannote[1162].start 7488.93659375
transcript.pyannote[1162].end 7543.13909375
transcript.pyannote[1163].speaker SPEAKER_00
transcript.pyannote[1163].start 7499.77034375
transcript.pyannote[1163].end 7499.82096875
transcript.pyannote[1164].speaker SPEAKER_06
transcript.pyannote[1164].start 7499.82096875
transcript.pyannote[1164].end 7500.96846875
transcript.pyannote[1165].speaker SPEAKER_00
transcript.pyannote[1165].start 7500.96846875
transcript.pyannote[1165].end 7501.67721875
transcript.pyannote[1166].speaker SPEAKER_00
transcript.pyannote[1166].start 7503.65159375
transcript.pyannote[1166].end 7504.14096875
transcript.pyannote[1167].speaker SPEAKER_01
transcript.pyannote[1167].start 7520.42534375
transcript.pyannote[1167].end 7521.43784375
transcript.pyannote[1168].speaker SPEAKER_00
transcript.pyannote[1168].start 7521.43784375
transcript.pyannote[1168].end 7521.48846875
transcript.pyannote[1169].speaker SPEAKER_00
transcript.pyannote[1169].start 7523.71596875
transcript.pyannote[1169].end 7523.73284375
transcript.pyannote[1170].speaker SPEAKER_01
transcript.pyannote[1170].start 7523.73284375
transcript.pyannote[1170].end 7524.96471875
transcript.pyannote[1171].speaker SPEAKER_00
transcript.pyannote[1171].start 7524.96471875
transcript.pyannote[1171].end 7525.03221875
transcript.pyannote[1172].speaker SPEAKER_01
transcript.pyannote[1172].start 7525.03221875
transcript.pyannote[1172].end 7525.43721875
transcript.pyannote[1173].speaker SPEAKER_00
transcript.pyannote[1173].start 7525.43721875
transcript.pyannote[1173].end 7525.62284375
transcript.pyannote[1174].speaker SPEAKER_04
transcript.pyannote[1174].start 7538.12721875
transcript.pyannote[1174].end 7539.42659375
transcript.pyannote[1175].speaker SPEAKER_04
transcript.pyannote[1175].start 7541.55284375
transcript.pyannote[1175].end 7550.69909375
transcript.pyannote[1176].speaker SPEAKER_03
transcript.pyannote[1176].start 7575.13409375
transcript.pyannote[1176].end 7575.84284375
transcript.pyannote[1177].speaker SPEAKER_03
transcript.pyannote[1177].start 7576.65284375
transcript.pyannote[1177].end 7580.17971875
transcript.pyannote[1178].speaker SPEAKER_03
transcript.pyannote[1178].start 7580.46659375
transcript.pyannote[1178].end 7582.40721875
transcript.pyannote[1179].speaker SPEAKER_03
transcript.pyannote[1179].start 7582.89659375
transcript.pyannote[1179].end 7583.58846875
transcript.pyannote[1180].speaker SPEAKER_03
transcript.pyannote[1180].start 8171.46284375
transcript.pyannote[1180].end 8174.02784375
transcript.pyannote[1181].speaker SPEAKER_03
transcript.pyannote[1181].start 8174.28096875
transcript.pyannote[1181].end 8178.95534375
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 8193.34971875
transcript.pyannote[1182].end 8194.59846875
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 8195.00346875
transcript.pyannote[1183].end 8196.03284375
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 8196.30284375
transcript.pyannote[1184].end 8196.31971875
transcript.pyannote[1185].speaker SPEAKER_03
transcript.pyannote[1185].start 8196.31971875
transcript.pyannote[1185].end 8197.63596875
transcript.pyannote[1186].speaker SPEAKER_16
transcript.pyannote[1186].start 8197.63596875
transcript.pyannote[1186].end 8197.73721875
transcript.pyannote[1187].speaker SPEAKER_30
transcript.pyannote[1187].start 8202.37784375
transcript.pyannote[1187].end 8203.81221875
transcript.pyannote[1188].speaker SPEAKER_16
transcript.pyannote[1188].start 8203.89659375
transcript.pyannote[1188].end 8205.04409375
transcript.pyannote[1189].speaker SPEAKER_16
transcript.pyannote[1189].start 8205.53346875
transcript.pyannote[1189].end 8209.97159375
transcript.pyannote[1190].speaker SPEAKER_16
transcript.pyannote[1190].start 8210.64659375
transcript.pyannote[1190].end 8219.05034375
transcript.pyannote[1191].speaker SPEAKER_16
transcript.pyannote[1191].start 8219.47221875
transcript.pyannote[1191].end 8225.19284375
transcript.pyannote[1192].speaker SPEAKER_16
transcript.pyannote[1192].start 8225.68221875
transcript.pyannote[1192].end 8226.91409375
transcript.pyannote[1193].speaker SPEAKER_16
transcript.pyannote[1193].start 8227.03221875
transcript.pyannote[1193].end 8230.49159375
transcript.pyannote[1194].speaker SPEAKER_16
transcript.pyannote[1194].start 8230.98096875
transcript.pyannote[1194].end 8234.49096875
transcript.pyannote[1195].speaker SPEAKER_16
transcript.pyannote[1195].start 8234.92971875
transcript.pyannote[1195].end 8236.26284375
transcript.pyannote[1196].speaker SPEAKER_16
transcript.pyannote[1196].start 8236.81971875
transcript.pyannote[1196].end 8237.66346875
transcript.pyannote[1197].speaker SPEAKER_16
transcript.pyannote[1197].start 8237.91659375
transcript.pyannote[1197].end 8239.35096875
transcript.pyannote[1198].speaker SPEAKER_16
transcript.pyannote[1198].start 8239.40159375
transcript.pyannote[1198].end 8242.08471875
transcript.pyannote[1199].speaker SPEAKER_16
transcript.pyannote[1199].start 8242.16909375
transcript.pyannote[1199].end 8244.36284375
transcript.pyannote[1200].speaker SPEAKER_16
transcript.pyannote[1200].start 8244.91971875
transcript.pyannote[1200].end 8246.26971875
transcript.pyannote[1201].speaker SPEAKER_16
transcript.pyannote[1201].start 8246.65784375
transcript.pyannote[1201].end 8247.75471875
transcript.pyannote[1202].speaker SPEAKER_16
transcript.pyannote[1202].start 8248.17659375
transcript.pyannote[1202].end 8249.32409375
transcript.pyannote[1203].speaker SPEAKER_16
transcript.pyannote[1203].start 8249.99909375
transcript.pyannote[1203].end 8251.19721875
transcript.pyannote[1204].speaker SPEAKER_16
transcript.pyannote[1204].start 8251.60221875
transcript.pyannote[1204].end 8253.32346875
transcript.pyannote[1205].speaker SPEAKER_16
transcript.pyannote[1205].start 8254.40346875
transcript.pyannote[1205].end 8255.61846875
transcript.pyannote[1206].speaker SPEAKER_16
transcript.pyannote[1206].start 8255.82096875
transcript.pyannote[1206].end 8256.83346875
transcript.pyannote[1207].speaker SPEAKER_16
transcript.pyannote[1207].start 8257.49159375
transcript.pyannote[1207].end 8258.43659375
transcript.pyannote[1208].speaker SPEAKER_16
transcript.pyannote[1208].start 8258.85846875
transcript.pyannote[1208].end 8259.92159375
transcript.pyannote[1209].speaker SPEAKER_16
transcript.pyannote[1209].start 8260.25909375
transcript.pyannote[1209].end 8261.18721875
transcript.pyannote[1210].speaker SPEAKER_30
transcript.pyannote[1210].start 8261.18721875
transcript.pyannote[1210].end 8261.22096875
transcript.pyannote[1211].speaker SPEAKER_30
transcript.pyannote[1211].start 8262.52034375
transcript.pyannote[1211].end 8300.23596875
transcript.pyannote[1212].speaker SPEAKER_16
transcript.pyannote[1212].start 8300.23596875
transcript.pyannote[1212].end 8300.35409375
transcript.pyannote[1213].speaker SPEAKER_30
transcript.pyannote[1213].start 8300.35409375
transcript.pyannote[1213].end 8300.97846875
transcript.pyannote[1214].speaker SPEAKER_16
transcript.pyannote[1214].start 8300.97846875
transcript.pyannote[1214].end 8304.31971875
transcript.pyannote[1215].speaker SPEAKER_16
transcript.pyannote[1215].start 8304.57284375
transcript.pyannote[1215].end 8306.44596875
transcript.pyannote[1216].speaker SPEAKER_30
transcript.pyannote[1216].start 8305.88909375
transcript.pyannote[1216].end 8306.10846875
transcript.pyannote[1217].speaker SPEAKER_16
transcript.pyannote[1217].start 8306.73284375
transcript.pyannote[1217].end 8308.82534375
transcript.pyannote[1218].speaker SPEAKER_16
transcript.pyannote[1218].start 8308.99409375
transcript.pyannote[1218].end 8311.40721875
transcript.pyannote[1219].speaker SPEAKER_16
transcript.pyannote[1219].start 8311.81221875
transcript.pyannote[1219].end 8312.03159375
transcript.pyannote[1220].speaker SPEAKER_16
transcript.pyannote[1220].start 8312.16659375
transcript.pyannote[1220].end 8314.30971875
transcript.pyannote[1221].speaker SPEAKER_16
transcript.pyannote[1221].start 8314.59659375
transcript.pyannote[1221].end 8317.26284375
transcript.pyannote[1222].speaker SPEAKER_01
transcript.pyannote[1222].start 8316.63846875
transcript.pyannote[1222].end 8316.82409375
transcript.pyannote[1223].speaker SPEAKER_16
transcript.pyannote[1223].start 8317.41471875
transcript.pyannote[1223].end 8319.69284375
transcript.pyannote[1224].speaker SPEAKER_16
transcript.pyannote[1224].start 8319.86159375
transcript.pyannote[1224].end 8325.16034375
transcript.pyannote[1225].speaker SPEAKER_16
transcript.pyannote[1225].start 8325.71721875
transcript.pyannote[1225].end 8327.80971875
transcript.pyannote[1226].speaker SPEAKER_16
transcript.pyannote[1226].start 8327.99534375
transcript.pyannote[1226].end 8331.94409375
transcript.pyannote[1227].speaker SPEAKER_16
transcript.pyannote[1227].start 8332.11284375
transcript.pyannote[1227].end 8334.69471875
transcript.pyannote[1228].speaker SPEAKER_16
transcript.pyannote[1228].start 8335.06596875
transcript.pyannote[1228].end 8337.12471875
transcript.pyannote[1229].speaker SPEAKER_16
transcript.pyannote[1229].start 8337.83346875
transcript.pyannote[1229].end 8343.46971875
transcript.pyannote[1230].speaker SPEAKER_16
transcript.pyannote[1230].start 8343.94221875
transcript.pyannote[1230].end 8345.29221875
transcript.pyannote[1231].speaker SPEAKER_16
transcript.pyannote[1231].start 8345.64659375
transcript.pyannote[1231].end 8352.10971875
transcript.pyannote[1232].speaker SPEAKER_16
transcript.pyannote[1232].start 8352.90284375
transcript.pyannote[1232].end 8356.09221875
transcript.pyannote[1233].speaker SPEAKER_18
transcript.pyannote[1233].start 8353.10534375
transcript.pyannote[1233].end 8353.13909375
transcript.pyannote[1234].speaker SPEAKER_16
transcript.pyannote[1234].start 8356.24409375
transcript.pyannote[1234].end 8365.12034375
transcript.pyannote[1235].speaker SPEAKER_16
transcript.pyannote[1235].start 8365.57596875
transcript.pyannote[1235].end 8376.61221875
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 8376.93284375
transcript.pyannote[1236].end 8380.13909375
transcript.pyannote[1237].speaker SPEAKER_16
transcript.pyannote[1237].start 8380.32471875
transcript.pyannote[1237].end 8381.89409375
transcript.pyannote[1238].speaker SPEAKER_16
transcript.pyannote[1238].start 8381.96159375
transcript.pyannote[1238].end 8383.54784375
transcript.pyannote[1239].speaker SPEAKER_16
transcript.pyannote[1239].start 8383.58159375
transcript.pyannote[1239].end 8384.52659375
transcript.pyannote[1240].speaker SPEAKER_16
transcript.pyannote[1240].start 8384.66159375
transcript.pyannote[1240].end 8385.52221875
transcript.pyannote[1241].speaker SPEAKER_16
transcript.pyannote[1241].start 8385.67409375
transcript.pyannote[1241].end 8394.33096875
transcript.pyannote[1242].speaker SPEAKER_16
transcript.pyannote[1242].start 8394.56721875
transcript.pyannote[1242].end 8395.95096875
transcript.pyannote[1243].speaker SPEAKER_16
transcript.pyannote[1243].start 8396.28846875
transcript.pyannote[1243].end 8397.14909375
transcript.pyannote[1244].speaker SPEAKER_16
transcript.pyannote[1244].start 8397.50346875
transcript.pyannote[1244].end 8400.20346875
transcript.pyannote[1245].speaker SPEAKER_16
transcript.pyannote[1245].start 8400.43971875
transcript.pyannote[1245].end 8401.11471875
transcript.pyannote[1246].speaker SPEAKER_16
transcript.pyannote[1246].start 8401.36784375
transcript.pyannote[1246].end 8406.44721875
transcript.pyannote[1247].speaker SPEAKER_16
transcript.pyannote[1247].start 8406.63284375
transcript.pyannote[1247].end 8408.20221875
transcript.pyannote[1248].speaker SPEAKER_16
transcript.pyannote[1248].start 8408.48909375
transcript.pyannote[1248].end 8414.26034375
transcript.pyannote[1249].speaker SPEAKER_16
transcript.pyannote[1249].start 8414.58096875
transcript.pyannote[1249].end 8420.77409375
transcript.pyannote[1250].speaker SPEAKER_16
transcript.pyannote[1250].start 8421.02721875
transcript.pyannote[1250].end 8423.50784375
transcript.pyannote[1251].speaker SPEAKER_16
transcript.pyannote[1251].start 8423.86221875
transcript.pyannote[1251].end 8426.69721875
transcript.pyannote[1252].speaker SPEAKER_16
transcript.pyannote[1252].start 8426.95034375
transcript.pyannote[1252].end 8428.60409375
transcript.pyannote[1253].speaker SPEAKER_30
transcript.pyannote[1253].start 8429.04284375
transcript.pyannote[1253].end 8476.96784375
transcript.pyannote[1254].speaker SPEAKER_16
transcript.pyannote[1254].start 8476.96784375
transcript.pyannote[1254].end 8485.33784375
transcript.pyannote[1255].speaker SPEAKER_30
transcript.pyannote[1255].start 8478.16596875
transcript.pyannote[1255].end 8478.40221875
transcript.pyannote[1256].speaker SPEAKER_16
transcript.pyannote[1256].start 8485.47284375
transcript.pyannote[1256].end 8488.39221875
transcript.pyannote[1257].speaker SPEAKER_16
transcript.pyannote[1257].start 8488.69596875
transcript.pyannote[1257].end 8492.37471875
transcript.pyannote[1258].speaker SPEAKER_30
transcript.pyannote[1258].start 8491.42971875
transcript.pyannote[1258].end 8495.29409375
transcript.pyannote[1259].speaker SPEAKER_30
transcript.pyannote[1259].start 8495.68221875
transcript.pyannote[1259].end 8498.77034375
transcript.pyannote[1260].speaker SPEAKER_16
transcript.pyannote[1260].start 8498.77034375
transcript.pyannote[1260].end 8512.16909375
transcript.pyannote[1261].speaker SPEAKER_30
transcript.pyannote[1261].start 8504.62596875
transcript.pyannote[1261].end 8504.86221875
transcript.pyannote[1262].speaker SPEAKER_16
transcript.pyannote[1262].start 8512.74284375
transcript.pyannote[1262].end 8516.08409375
transcript.pyannote[1263].speaker SPEAKER_30
transcript.pyannote[1263].start 8516.16846875
transcript.pyannote[1263].end 8521.16346875
transcript.pyannote[1264].speaker SPEAKER_30
transcript.pyannote[1264].start 8521.58534375
transcript.pyannote[1264].end 8525.51721875
transcript.pyannote[1265].speaker SPEAKER_01
transcript.pyannote[1265].start 8525.68596875
transcript.pyannote[1265].end 8525.70284375
transcript.pyannote[1266].speaker SPEAKER_30
transcript.pyannote[1266].start 8525.70284375
transcript.pyannote[1266].end 8525.73659375
transcript.pyannote[1267].speaker SPEAKER_01
transcript.pyannote[1267].start 8525.73659375
transcript.pyannote[1267].end 8525.77034375
transcript.pyannote[1268].speaker SPEAKER_30
transcript.pyannote[1268].start 8525.77034375
transcript.pyannote[1268].end 8532.55409375
transcript.pyannote[1269].speaker SPEAKER_30
transcript.pyannote[1269].start 8532.89159375
transcript.pyannote[1269].end 8533.46534375
transcript.pyannote[1270].speaker SPEAKER_30
transcript.pyannote[1270].start 8533.75221875
transcript.pyannote[1270].end 8535.60846875
transcript.pyannote[1271].speaker SPEAKER_30
transcript.pyannote[1271].start 8535.89534375
transcript.pyannote[1271].end 8538.54471875
transcript.pyannote[1272].speaker SPEAKER_16
transcript.pyannote[1272].start 8538.54471875
transcript.pyannote[1272].end 8553.29346875
transcript.pyannote[1273].speaker SPEAKER_16
transcript.pyannote[1273].start 8553.54659375
transcript.pyannote[1273].end 8556.09471875
transcript.pyannote[1274].speaker SPEAKER_16
transcript.pyannote[1274].start 8556.36471875
transcript.pyannote[1274].end 8568.97034375
transcript.pyannote[1275].speaker SPEAKER_16
transcript.pyannote[1275].start 8569.17284375
transcript.pyannote[1275].end 8572.19346875
transcript.pyannote[1276].speaker SPEAKER_16
transcript.pyannote[1276].start 8572.56471875
transcript.pyannote[1276].end 8581.72784375
transcript.pyannote[1277].speaker SPEAKER_16
transcript.pyannote[1277].start 8581.96409375
transcript.pyannote[1277].end 8587.73534375
transcript.pyannote[1278].speaker SPEAKER_16
transcript.pyannote[1278].start 8587.83659375
transcript.pyannote[1278].end 8588.44409375
transcript.pyannote[1279].speaker SPEAKER_16
transcript.pyannote[1279].start 8588.83221875
transcript.pyannote[1279].end 8591.12721875
transcript.pyannote[1280].speaker SPEAKER_16
transcript.pyannote[1280].start 8591.54909375
transcript.pyannote[1280].end 8595.14346875
transcript.pyannote[1281].speaker SPEAKER_16
transcript.pyannote[1281].start 8595.19409375
transcript.pyannote[1281].end 8600.00346875
transcript.pyannote[1282].speaker SPEAKER_16
transcript.pyannote[1282].start 8600.10471875
transcript.pyannote[1282].end 8606.48346875
transcript.pyannote[1283].speaker SPEAKER_16
transcript.pyannote[1283].start 8606.93909375
transcript.pyannote[1283].end 8607.51284375
transcript.pyannote[1284].speaker SPEAKER_16
transcript.pyannote[1284].start 8607.85034375
transcript.pyannote[1284].end 8616.38909375
transcript.pyannote[1285].speaker SPEAKER_16
transcript.pyannote[1285].start 8616.86159375
transcript.pyannote[1285].end 8617.40159375
transcript.pyannote[1286].speaker SPEAKER_16
transcript.pyannote[1286].start 8617.43534375
transcript.pyannote[1286].end 8621.06346875
transcript.pyannote[1287].speaker SPEAKER_16
transcript.pyannote[1287].start 8621.13096875
transcript.pyannote[1287].end 8621.60346875
transcript.pyannote[1288].speaker SPEAKER_16
transcript.pyannote[1288].start 8621.80596875
transcript.pyannote[1288].end 8623.00409375
transcript.pyannote[1289].speaker SPEAKER_16
transcript.pyannote[1289].start 8623.03784375
transcript.pyannote[1289].end 8629.70346875
transcript.pyannote[1290].speaker SPEAKER_16
transcript.pyannote[1290].start 8630.09159375
transcript.pyannote[1290].end 8633.24721875
transcript.pyannote[1291].speaker SPEAKER_16
transcript.pyannote[1291].start 8633.65221875
transcript.pyannote[1291].end 8634.24284375
transcript.pyannote[1292].speaker SPEAKER_16
transcript.pyannote[1292].start 8634.68159375
transcript.pyannote[1292].end 8636.09909375
transcript.pyannote[1293].speaker SPEAKER_16
transcript.pyannote[1293].start 8636.36909375
transcript.pyannote[1293].end 8641.71846875
transcript.pyannote[1294].speaker SPEAKER_16
transcript.pyannote[1294].start 8642.29221875
transcript.pyannote[1294].end 8643.65909375
transcript.pyannote[1295].speaker SPEAKER_16
transcript.pyannote[1295].start 8643.87846875
transcript.pyannote[1295].end 8647.18596875
transcript.pyannote[1296].speaker SPEAKER_16
transcript.pyannote[1296].start 8647.75971875
transcript.pyannote[1296].end 8648.60346875
transcript.pyannote[1297].speaker SPEAKER_16
transcript.pyannote[1297].start 8649.19409375
transcript.pyannote[1297].end 8650.13909375
transcript.pyannote[1298].speaker SPEAKER_16
transcript.pyannote[1298].start 8650.35846875
transcript.pyannote[1298].end 8653.88534375
transcript.pyannote[1299].speaker SPEAKER_16
transcript.pyannote[1299].start 8654.32409375
transcript.pyannote[1299].end 8657.29409375
transcript.pyannote[1300].speaker SPEAKER_16
transcript.pyannote[1300].start 8658.01971875
transcript.pyannote[1300].end 8661.12471875
transcript.pyannote[1301].speaker SPEAKER_16
transcript.pyannote[1301].start 8661.46221875
transcript.pyannote[1301].end 8662.79534375
transcript.pyannote[1302].speaker SPEAKER_16
transcript.pyannote[1302].start 8663.16659375
transcript.pyannote[1302].end 8665.41096875
transcript.pyannote[1303].speaker SPEAKER_16
transcript.pyannote[1303].start 8665.73159375
transcript.pyannote[1303].end 8666.03534375
transcript.pyannote[1304].speaker SPEAKER_16
transcript.pyannote[1304].start 8666.23784375
transcript.pyannote[1304].end 8668.27971875
transcript.pyannote[1305].speaker SPEAKER_16
transcript.pyannote[1305].start 8668.39784375
transcript.pyannote[1305].end 8669.49471875
transcript.pyannote[1306].speaker SPEAKER_16
transcript.pyannote[1306].start 8669.88284375
transcript.pyannote[1306].end 8670.96284375
transcript.pyannote[1307].speaker SPEAKER_16
transcript.pyannote[1307].start 8671.35096875
transcript.pyannote[1307].end 8675.35034375
transcript.pyannote[1308].speaker SPEAKER_16
transcript.pyannote[1308].start 8675.77221875
transcript.pyannote[1308].end 8690.62221875
transcript.pyannote[1309].speaker SPEAKER_16
transcript.pyannote[1309].start 8690.92596875
transcript.pyannote[1309].end 8691.68534375
transcript.pyannote[1310].speaker SPEAKER_16
transcript.pyannote[1310].start 8692.20846875
transcript.pyannote[1310].end 8699.56596875
transcript.pyannote[1311].speaker SPEAKER_16
transcript.pyannote[1311].start 8699.92034375
transcript.pyannote[1311].end 8707.73346875
transcript.pyannote[1312].speaker SPEAKER_16
transcript.pyannote[1312].start 8708.15534375
transcript.pyannote[1312].end 8710.58534375
transcript.pyannote[1313].speaker SPEAKER_16
transcript.pyannote[1313].start 8710.99034375
transcript.pyannote[1313].end 8714.87159375
transcript.pyannote[1314].speaker SPEAKER_16
transcript.pyannote[1314].start 8715.47909375
transcript.pyannote[1314].end 8717.28471875
transcript.pyannote[1315].speaker SPEAKER_16
transcript.pyannote[1315].start 8717.55471875
transcript.pyannote[1315].end 8718.68534375
transcript.pyannote[1316].speaker SPEAKER_16
transcript.pyannote[1316].start 8719.07346875
transcript.pyannote[1316].end 8727.54471875
transcript.pyannote[1317].speaker SPEAKER_16
transcript.pyannote[1317].start 8727.69659375
transcript.pyannote[1317].end 8738.46284375
transcript.pyannote[1318].speaker SPEAKER_30
transcript.pyannote[1318].start 8738.54721875
transcript.pyannote[1318].end 8761.78409375
transcript.pyannote[1319].speaker SPEAKER_16
transcript.pyannote[1319].start 8762.00346875
transcript.pyannote[1319].end 8765.59784375
transcript.pyannote[1320].speaker SPEAKER_30
transcript.pyannote[1320].start 8765.59784375
transcript.pyannote[1320].end 8779.35096875
transcript.pyannote[1321].speaker SPEAKER_16
transcript.pyannote[1321].start 8778.62534375
transcript.pyannote[1321].end 8780.78534375
transcript.pyannote[1322].speaker SPEAKER_30
transcript.pyannote[1322].start 8780.78534375
transcript.pyannote[1322].end 8781.40971875
transcript.pyannote[1323].speaker SPEAKER_16
transcript.pyannote[1323].start 8781.40971875
transcript.pyannote[1323].end 8781.46034375
transcript.pyannote[1324].speaker SPEAKER_30
transcript.pyannote[1324].start 8781.46034375
transcript.pyannote[1324].end 8781.86534375
transcript.pyannote[1325].speaker SPEAKER_16
transcript.pyannote[1325].start 8781.86534375
transcript.pyannote[1325].end 8781.91596875
transcript.pyannote[1326].speaker SPEAKER_16
transcript.pyannote[1326].start 8782.37159375
transcript.pyannote[1326].end 8782.47284375
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 8782.47284375
transcript.pyannote[1327].end 8782.52346875
transcript.pyannote[1328].speaker SPEAKER_16
transcript.pyannote[1328].start 8782.52346875
transcript.pyannote[1328].end 8784.81846875
transcript.pyannote[1329].speaker SPEAKER_04
transcript.pyannote[1329].start 8782.72596875
transcript.pyannote[1329].end 8792.17596875
transcript.pyannote[1330].speaker SPEAKER_16
transcript.pyannote[1330].start 8787.31596875
transcript.pyannote[1330].end 8787.51846875
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 8792.26034375
transcript.pyannote[1331].end 8795.75346875
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 8796.05721875
transcript.pyannote[1332].end 8797.99784375
transcript.pyannote[1333].speaker SPEAKER_04
transcript.pyannote[1333].start 8798.35221875
transcript.pyannote[1333].end 8803.78596875
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 8804.14034375
transcript.pyannote[1334].end 8826.22971875
transcript.pyannote[1335].speaker SPEAKER_16
transcript.pyannote[1335].start 8826.22971875
transcript.pyannote[1335].end 8826.85409375
transcript.pyannote[1336].speaker SPEAKER_04
transcript.pyannote[1336].start 8826.31409375
transcript.pyannote[1336].end 8826.71909375
transcript.pyannote[1337].speaker SPEAKER_04
transcript.pyannote[1337].start 8826.85409375
transcript.pyannote[1337].end 8827.96784375
transcript.pyannote[1338].speaker SPEAKER_16
transcript.pyannote[1338].start 8827.96784375
transcript.pyannote[1338].end 8829.43596875
transcript.pyannote[1339].speaker SPEAKER_16
transcript.pyannote[1339].start 8829.63846875
transcript.pyannote[1339].end 8838.64971875
transcript.pyannote[1340].speaker SPEAKER_30
transcript.pyannote[1340].start 8838.64971875
transcript.pyannote[1340].end 8838.66659375
transcript.pyannote[1341].speaker SPEAKER_16
transcript.pyannote[1341].start 8838.66659375
transcript.pyannote[1341].end 8838.68346875
transcript.pyannote[1342].speaker SPEAKER_30
transcript.pyannote[1342].start 8838.68346875
transcript.pyannote[1342].end 8840.03346875
transcript.pyannote[1343].speaker SPEAKER_30
transcript.pyannote[1343].start 8840.21909375
transcript.pyannote[1343].end 8841.50159375
transcript.pyannote[1344].speaker SPEAKER_16
transcript.pyannote[1344].start 8840.35409375
transcript.pyannote[1344].end 8844.55596875
transcript.pyannote[1345].speaker SPEAKER_16
transcript.pyannote[1345].start 8844.67409375
transcript.pyannote[1345].end 8844.72471875
transcript.pyannote[1346].speaker SPEAKER_30
transcript.pyannote[1346].start 8844.72471875
transcript.pyannote[1346].end 8845.06221875
transcript.pyannote[1347].speaker SPEAKER_16
transcript.pyannote[1347].start 8845.06221875
transcript.pyannote[1347].end 8849.55096875
transcript.pyannote[1348].speaker SPEAKER_30
transcript.pyannote[1348].start 8845.09596875
transcript.pyannote[1348].end 8845.16346875
transcript.pyannote[1349].speaker SPEAKER_16
transcript.pyannote[1349].start 8849.75346875
transcript.pyannote[1349].end 8851.62659375
transcript.pyannote[1350].speaker SPEAKER_16
transcript.pyannote[1350].start 8851.82909375
transcript.pyannote[1350].end 8853.49971875
transcript.pyannote[1351].speaker SPEAKER_16
transcript.pyannote[1351].start 8853.75284375
transcript.pyannote[1351].end 8857.19534375
transcript.pyannote[1352].speaker SPEAKER_16
transcript.pyannote[1352].start 8857.48221875
transcript.pyannote[1352].end 8859.38909375
transcript.pyannote[1353].speaker SPEAKER_16
transcript.pyannote[1353].start 8859.72659375
transcript.pyannote[1353].end 8863.86096875
transcript.pyannote[1354].speaker SPEAKER_16
transcript.pyannote[1354].start 8864.09721875
transcript.pyannote[1354].end 8866.52721875
transcript.pyannote[1355].speaker SPEAKER_16
transcript.pyannote[1355].start 8866.74659375
transcript.pyannote[1355].end 8871.37034375
transcript.pyannote[1356].speaker SPEAKER_16
transcript.pyannote[1356].start 8871.65721875
transcript.pyannote[1356].end 8882.94659375
transcript.pyannote[1357].speaker SPEAKER_16
transcript.pyannote[1357].start 8883.43596875
transcript.pyannote[1357].end 8888.54909375
transcript.pyannote[1358].speaker SPEAKER_16
transcript.pyannote[1358].start 8888.61659375
transcript.pyannote[1358].end 8902.53846875
transcript.pyannote[1359].speaker SPEAKER_16
transcript.pyannote[1359].start 8902.62284375
transcript.pyannote[1359].end 8913.33846875
transcript.pyannote[1360].speaker SPEAKER_16
transcript.pyannote[1360].start 8913.62534375
transcript.pyannote[1360].end 8916.29159375
transcript.pyannote[1361].speaker SPEAKER_16
transcript.pyannote[1361].start 8916.83159375
transcript.pyannote[1361].end 8920.08846875
transcript.pyannote[1362].speaker SPEAKER_16
transcript.pyannote[1362].start 8920.34159375
transcript.pyannote[1362].end 8924.39159375
transcript.pyannote[1363].speaker SPEAKER_30
transcript.pyannote[1363].start 8925.16784375
transcript.pyannote[1363].end 8925.52221875
transcript.pyannote[1364].speaker SPEAKER_30
transcript.pyannote[1364].start 8925.60659375
transcript.pyannote[1364].end 8927.93534375
transcript.pyannote[1365].speaker SPEAKER_04
transcript.pyannote[1365].start 8928.76221875
transcript.pyannote[1365].end 8937.67221875
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 8937.97596875
transcript.pyannote[1366].end 8947.30784375
transcript.pyannote[1367].speaker SPEAKER_04
transcript.pyannote[1367].start 8947.57784375
transcript.pyannote[1367].end 8957.53409375
transcript.pyannote[1368].speaker SPEAKER_04
transcript.pyannote[1368].start 8957.88846875
transcript.pyannote[1368].end 8970.03846875
transcript.pyannote[1369].speaker SPEAKER_04
transcript.pyannote[1369].start 8970.84846875
transcript.pyannote[1369].end 8971.03409375
transcript.pyannote[1370].speaker SPEAKER_16
transcript.pyannote[1370].start 8971.03409375
transcript.pyannote[1370].end 8976.56909375
transcript.pyannote[1371].speaker SPEAKER_16
transcript.pyannote[1371].start 8976.73784375
transcript.pyannote[1371].end 8983.80846875
transcript.pyannote[1372].speaker SPEAKER_16
transcript.pyannote[1372].start 8983.97721875
transcript.pyannote[1372].end 8987.90909375
transcript.pyannote[1373].speaker SPEAKER_16
transcript.pyannote[1373].start 8988.21284375
transcript.pyannote[1373].end 8988.97221875
transcript.pyannote[1374].speaker SPEAKER_16
transcript.pyannote[1374].start 8989.20846875
transcript.pyannote[1374].end 8993.07284375
transcript.pyannote[1375].speaker SPEAKER_16
transcript.pyannote[1375].start 8993.19096875
transcript.pyannote[1375].end 8995.89096875
transcript.pyannote[1376].speaker SPEAKER_16
transcript.pyannote[1376].start 8995.99221875
transcript.pyannote[1376].end 9005.81346875
transcript.pyannote[1377].speaker SPEAKER_04
transcript.pyannote[1377].start 9006.28596875
transcript.pyannote[1377].end 9008.27721875
transcript.pyannote[1378].speaker SPEAKER_04
transcript.pyannote[1378].start 9008.69909375
transcript.pyannote[1378].end 9013.01909375
transcript.pyannote[1379].speaker SPEAKER_04
transcript.pyannote[1379].start 9013.39034375
transcript.pyannote[1379].end 9060.20159375
transcript.pyannote[1380].speaker SPEAKER_16
transcript.pyannote[1380].start 9060.57284375
transcript.pyannote[1380].end 9062.61471875
transcript.pyannote[1381].speaker SPEAKER_04
transcript.pyannote[1381].start 9062.61471875
transcript.pyannote[1381].end 9062.96909375
transcript.pyannote[1382].speaker SPEAKER_16
transcript.pyannote[1382].start 9062.96909375
transcript.pyannote[1382].end 9073.76909375
transcript.pyannote[1383].speaker SPEAKER_16
transcript.pyannote[1383].start 9074.12346875
transcript.pyannote[1383].end 9075.64221875
transcript.pyannote[1384].speaker SPEAKER_16
transcript.pyannote[1384].start 9075.84471875
transcript.pyannote[1384].end 9080.68784375
transcript.pyannote[1385].speaker SPEAKER_16
transcript.pyannote[1385].start 9080.94096875
transcript.pyannote[1385].end 9085.68284375
transcript.pyannote[1386].speaker SPEAKER_16
transcript.pyannote[1386].start 9086.15534375
transcript.pyannote[1386].end 9088.06221875
transcript.pyannote[1387].speaker SPEAKER_16
transcript.pyannote[1387].start 9088.28159375
transcript.pyannote[1387].end 9099.79034375
transcript.pyannote[1388].speaker SPEAKER_16
transcript.pyannote[1388].start 9099.97596875
transcript.pyannote[1388].end 9100.81971875
transcript.pyannote[1389].speaker SPEAKER_16
transcript.pyannote[1389].start 9101.03909375
transcript.pyannote[1389].end 9103.77284375
transcript.pyannote[1390].speaker SPEAKER_16
transcript.pyannote[1390].start 9103.95846875
transcript.pyannote[1390].end 9107.62034375
transcript.pyannote[1391].speaker SPEAKER_03
transcript.pyannote[1391].start 9120.64784375
transcript.pyannote[1391].end 9123.66846875
transcript.pyannote[1392].speaker SPEAKER_03
transcript.pyannote[1392].start 9134.70471875
transcript.pyannote[1392].end 9135.02534375
transcript.pyannote[1393].speaker SPEAKER_01
transcript.pyannote[1393].start 9136.10534375
transcript.pyannote[1393].end 9136.13909375
transcript.pyannote[1394].speaker SPEAKER_03
transcript.pyannote[1394].start 9136.13909375
transcript.pyannote[1394].end 9136.57784375
transcript.pyannote[1395].speaker SPEAKER_03
transcript.pyannote[1395].start 9141.15096875
transcript.pyannote[1395].end 9153.09846875
transcript.pyannote[1396].speaker SPEAKER_03
transcript.pyannote[1396].start 9153.62159375
transcript.pyannote[1396].end 9157.87409375
transcript.pyannote[1397].speaker SPEAKER_01
transcript.pyannote[1397].start 9167.77971875
transcript.pyannote[1397].end 9168.03284375
transcript.pyannote[1398].speaker SPEAKER_21
transcript.pyannote[1398].start 9176.84159375
transcript.pyannote[1398].end 9179.25471875
transcript.pyannote[1399].speaker SPEAKER_03
transcript.pyannote[1399].start 9179.30534375
transcript.pyannote[1399].end 9183.22034375
transcript.pyannote[1400].speaker SPEAKER_30
transcript.pyannote[1400].start 9188.43471875
transcript.pyannote[1400].end 9192.26534375
transcript.pyannote[1401].speaker SPEAKER_21
transcript.pyannote[1401].start 9191.47221875
transcript.pyannote[1401].end 9193.02471875
transcript.pyannote[1402].speaker SPEAKER_30
transcript.pyannote[1402].start 9193.29471875
transcript.pyannote[1402].end 9193.63221875
transcript.pyannote[1403].speaker SPEAKER_21
transcript.pyannote[1403].start 9193.63221875
transcript.pyannote[1403].end 9203.47034375
transcript.pyannote[1404].speaker SPEAKER_21
transcript.pyannote[1404].start 9205.07346875
transcript.pyannote[1404].end 9205.36034375
transcript.pyannote[1405].speaker SPEAKER_21
transcript.pyannote[1405].start 9205.39409375
transcript.pyannote[1405].end 9220.46346875
transcript.pyannote[1406].speaker SPEAKER_21
transcript.pyannote[1406].start 9220.49721875
transcript.pyannote[1406].end 9221.39159375
transcript.pyannote[1407].speaker SPEAKER_21
transcript.pyannote[1407].start 9222.20159375
transcript.pyannote[1407].end 9228.37784375
transcript.pyannote[1408].speaker SPEAKER_01
transcript.pyannote[1408].start 9227.19659375
transcript.pyannote[1408].end 9227.63534375
transcript.pyannote[1409].speaker SPEAKER_00
transcript.pyannote[1409].start 9227.63534375
transcript.pyannote[1409].end 9227.66909375
transcript.pyannote[1410].speaker SPEAKER_21
transcript.pyannote[1410].start 9228.56346875
transcript.pyannote[1410].end 9240.20721875
transcript.pyannote[1411].speaker SPEAKER_30
transcript.pyannote[1411].start 9240.20721875
transcript.pyannote[1411].end 9255.95159375
transcript.pyannote[1412].speaker SPEAKER_21
transcript.pyannote[1412].start 9256.47471875
transcript.pyannote[1412].end 9266.92034375
transcript.pyannote[1413].speaker SPEAKER_30
transcript.pyannote[1413].start 9257.72346875
transcript.pyannote[1413].end 9258.14534375
transcript.pyannote[1414].speaker SPEAKER_21
transcript.pyannote[1414].start 9267.27471875
transcript.pyannote[1414].end 9268.38846875
transcript.pyannote[1415].speaker SPEAKER_30
transcript.pyannote[1415].start 9270.46409375
transcript.pyannote[1415].end 9289.75221875
transcript.pyannote[1416].speaker SPEAKER_30
transcript.pyannote[1416].start 9290.37659375
transcript.pyannote[1416].end 9299.40471875
transcript.pyannote[1417].speaker SPEAKER_21
transcript.pyannote[1417].start 9299.87721875
transcript.pyannote[1417].end 9309.83346875
transcript.pyannote[1418].speaker SPEAKER_30
transcript.pyannote[1418].start 9303.37034375
transcript.pyannote[1418].end 9303.85971875
transcript.pyannote[1419].speaker SPEAKER_30
transcript.pyannote[1419].start 9310.01909375
transcript.pyannote[1419].end 9315.40221875
transcript.pyannote[1420].speaker SPEAKER_21
transcript.pyannote[1420].start 9316.88721875
transcript.pyannote[1420].end 9323.14784375
transcript.pyannote[1421].speaker SPEAKER_21
transcript.pyannote[1421].start 9323.45159375
transcript.pyannote[1421].end 9326.62409375
transcript.pyannote[1422].speaker SPEAKER_30
transcript.pyannote[1422].start 9327.61971875
transcript.pyannote[1422].end 9329.69534375
transcript.pyannote[1423].speaker SPEAKER_21
transcript.pyannote[1423].start 9330.64034375
transcript.pyannote[1423].end 9333.30659375
transcript.pyannote[1424].speaker SPEAKER_21
transcript.pyannote[1424].start 9333.32346875
transcript.pyannote[1424].end 9333.42471875
transcript.pyannote[1425].speaker SPEAKER_30
transcript.pyannote[1425].start 9333.35721875
transcript.pyannote[1425].end 9335.77034375
transcript.pyannote[1426].speaker SPEAKER_21
transcript.pyannote[1426].start 9333.61034375
transcript.pyannote[1426].end 9337.84596875
transcript.pyannote[1427].speaker SPEAKER_21
transcript.pyannote[1427].start 9338.25096875
transcript.pyannote[1427].end 9366.56721875
transcript.pyannote[1428].speaker SPEAKER_21
transcript.pyannote[1428].start 9367.52909375
transcript.pyannote[1428].end 9384.80909375
transcript.pyannote[1429].speaker SPEAKER_21
transcript.pyannote[1429].start 9385.61909375
transcript.pyannote[1429].end 9397.27971875
transcript.pyannote[1430].speaker SPEAKER_21
transcript.pyannote[1430].start 9397.97159375
transcript.pyannote[1430].end 9402.44346875
transcript.pyannote[1431].speaker SPEAKER_21
transcript.pyannote[1431].start 9402.78096875
transcript.pyannote[1431].end 9418.52534375
transcript.pyannote[1432].speaker SPEAKER_21
transcript.pyannote[1432].start 9419.36909375
transcript.pyannote[1432].end 9419.77409375
transcript.pyannote[1433].speaker SPEAKER_30
transcript.pyannote[1433].start 9419.77409375
transcript.pyannote[1433].end 9421.14096875
transcript.pyannote[1434].speaker SPEAKER_21
transcript.pyannote[1434].start 9421.74846875
transcript.pyannote[1434].end 9432.05909375
transcript.pyannote[1435].speaker SPEAKER_30
transcript.pyannote[1435].start 9424.19534375
transcript.pyannote[1435].end 9424.63409375
transcript.pyannote[1436].speaker SPEAKER_21
transcript.pyannote[1436].start 9432.32909375
transcript.pyannote[1436].end 9440.14221875
transcript.pyannote[1437].speaker SPEAKER_21
transcript.pyannote[1437].start 9440.17596875
transcript.pyannote[1437].end 9442.85909375
transcript.pyannote[1438].speaker SPEAKER_21
transcript.pyannote[1438].start 9443.09534375
transcript.pyannote[1438].end 9447.85409375
transcript.pyannote[1439].speaker SPEAKER_21
transcript.pyannote[1439].start 9449.47409375
transcript.pyannote[1439].end 9477.25034375
transcript.pyannote[1440].speaker SPEAKER_04
transcript.pyannote[1440].start 9477.31784375
transcript.pyannote[1440].end 9495.69471875
transcript.pyannote[1441].speaker SPEAKER_21
transcript.pyannote[1441].start 9496.47096875
transcript.pyannote[1441].end 9498.29346875
transcript.pyannote[1442].speaker SPEAKER_04
transcript.pyannote[1442].start 9497.66909375
transcript.pyannote[1442].end 9521.32784375
transcript.pyannote[1443].speaker SPEAKER_21
transcript.pyannote[1443].start 9519.26909375
transcript.pyannote[1443].end 9519.75846875
transcript.pyannote[1444].speaker SPEAKER_21
transcript.pyannote[1444].start 9521.54721875
transcript.pyannote[1444].end 9535.30034375
transcript.pyannote[1445].speaker SPEAKER_30
transcript.pyannote[1445].start 9531.85784375
transcript.pyannote[1445].end 9532.26284375
transcript.pyannote[1446].speaker SPEAKER_30
transcript.pyannote[1446].start 9536.26221875
transcript.pyannote[1446].end 9537.44346875
transcript.pyannote[1447].speaker SPEAKER_21
transcript.pyannote[1447].start 9537.83159375
transcript.pyannote[1447].end 9540.93659375
transcript.pyannote[1448].speaker SPEAKER_30
transcript.pyannote[1448].start 9538.62471875
transcript.pyannote[1448].end 9539.24909375
transcript.pyannote[1449].speaker SPEAKER_30
transcript.pyannote[1449].start 9540.41346875
transcript.pyannote[1449].end 9542.52284375
transcript.pyannote[1450].speaker SPEAKER_21
transcript.pyannote[1450].start 9542.48909375
transcript.pyannote[1450].end 9551.34846875
transcript.pyannote[1451].speaker SPEAKER_21
transcript.pyannote[1451].start 9551.97284375
transcript.pyannote[1451].end 9569.06721875
transcript.pyannote[1452].speaker SPEAKER_30
transcript.pyannote[1452].start 9570.14721875
transcript.pyannote[1452].end 9590.02596875
transcript.pyannote[1453].speaker SPEAKER_21
transcript.pyannote[1453].start 9570.60284375
transcript.pyannote[1453].end 9571.29471875
transcript.pyannote[1454].speaker SPEAKER_04
transcript.pyannote[1454].start 9590.02596875
transcript.pyannote[1454].end 9590.58284375
transcript.pyannote[1455].speaker SPEAKER_04
transcript.pyannote[1455].start 9591.10596875
transcript.pyannote[1455].end 9593.29971875
transcript.pyannote[1456].speaker SPEAKER_04
transcript.pyannote[1456].start 9593.75534375
transcript.pyannote[1456].end 9603.30659375
transcript.pyannote[1457].speaker SPEAKER_04
transcript.pyannote[1457].start 9603.50909375
transcript.pyannote[1457].end 9620.80596875
transcript.pyannote[1458].speaker SPEAKER_21
transcript.pyannote[1458].start 9621.02534375
transcript.pyannote[1458].end 9621.16034375
transcript.pyannote[1459].speaker SPEAKER_21
transcript.pyannote[1459].start 9621.43034375
transcript.pyannote[1459].end 9638.67659375
transcript.pyannote[1460].speaker SPEAKER_04
transcript.pyannote[1460].start 9624.75471875
transcript.pyannote[1460].end 9625.15971875
transcript.pyannote[1461].speaker SPEAKER_00
transcript.pyannote[1461].start 9637.54596875
transcript.pyannote[1461].end 9638.27159375
transcript.pyannote[1462].speaker SPEAKER_21
transcript.pyannote[1462].start 9639.63846875
transcript.pyannote[1462].end 9640.16159375
transcript.pyannote[1463].speaker SPEAKER_21
transcript.pyannote[1463].start 9640.71846875
transcript.pyannote[1463].end 9663.14534375
transcript.pyannote[1464].speaker SPEAKER_21
transcript.pyannote[1464].start 9663.70221875
transcript.pyannote[1464].end 9669.10221875
transcript.pyannote[1465].speaker SPEAKER_30
transcript.pyannote[1465].start 9670.11471875
transcript.pyannote[1465].end 9686.28096875
transcript.pyannote[1466].speaker SPEAKER_18
transcript.pyannote[1466].start 9686.28096875
transcript.pyannote[1466].end 9686.29784375
transcript.pyannote[1467].speaker SPEAKER_04
transcript.pyannote[1467].start 9687.49596875
transcript.pyannote[1467].end 9687.78284375
transcript.pyannote[1468].speaker SPEAKER_04
transcript.pyannote[1468].start 9688.37346875
transcript.pyannote[1468].end 9689.89221875
transcript.pyannote[1469].speaker SPEAKER_04
transcript.pyannote[1469].start 9690.24659375
transcript.pyannote[1469].end 9733.21034375
transcript.pyannote[1470].speaker SPEAKER_00
transcript.pyannote[1470].start 9713.56784375
transcript.pyannote[1470].end 9714.10784375
transcript.pyannote[1471].speaker SPEAKER_04
transcript.pyannote[1471].start 9733.29471875
transcript.pyannote[1471].end 9745.14096875
transcript.pyannote[1472].speaker SPEAKER_25
transcript.pyannote[1472].start 9742.18784375
transcript.pyannote[1472].end 9742.64346875
transcript.pyannote[1473].speaker SPEAKER_25
transcript.pyannote[1473].start 9743.82471875
transcript.pyannote[1473].end 9743.97659375
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 9745.54596875
transcript.pyannote[1474].end 9746.50784375
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 9746.59221875
transcript.pyannote[1475].end 9767.82096875
transcript.pyannote[1476].speaker SPEAKER_00
transcript.pyannote[1476].start 9753.86534375
transcript.pyannote[1476].end 9754.23659375
transcript.pyannote[1477].speaker SPEAKER_21
transcript.pyannote[1477].start 9765.55971875
transcript.pyannote[1477].end 9807.07221875
transcript.pyannote[1478].speaker SPEAKER_30
transcript.pyannote[1478].start 9808.03409375
transcript.pyannote[1478].end 9818.98596875
transcript.pyannote[1479].speaker SPEAKER_21
transcript.pyannote[1479].start 9818.47971875
transcript.pyannote[1479].end 9829.49909375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 9823.00221875
transcript.pyannote[1480].end 9823.01909375
transcript.pyannote[1481].speaker SPEAKER_30
transcript.pyannote[1481].start 9823.01909375
transcript.pyannote[1481].end 9823.47471875
transcript.pyannote[1482].speaker SPEAKER_04
transcript.pyannote[1482].start 9823.47471875
transcript.pyannote[1482].end 9823.55909375
transcript.pyannote[1483].speaker SPEAKER_04
transcript.pyannote[1483].start 9827.60909375
transcript.pyannote[1483].end 9828.72284375
transcript.pyannote[1484].speaker SPEAKER_04
transcript.pyannote[1484].start 9829.63409375
transcript.pyannote[1484].end 9849.52971875
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 9850.20471875
transcript.pyannote[1485].end 9850.22159375
transcript.pyannote[1486].speaker SPEAKER_30
transcript.pyannote[1486].start 9850.22159375
transcript.pyannote[1486].end 9851.77409375
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 9851.77409375
transcript.pyannote[1487].end 9851.79096875
transcript.pyannote[1488].speaker SPEAKER_30
transcript.pyannote[1488].start 9851.79096875
transcript.pyannote[1488].end 9851.84159375
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 9851.84159375
transcript.pyannote[1489].end 9851.97659375
transcript.pyannote[1490].speaker SPEAKER_30
transcript.pyannote[1490].start 9851.97659375
transcript.pyannote[1490].end 9871.58534375
transcript.pyannote[1491].speaker SPEAKER_00
transcript.pyannote[1491].start 9860.26221875
transcript.pyannote[1491].end 9860.63346875
transcript.pyannote[1492].speaker SPEAKER_21
transcript.pyannote[1492].start 9866.84346875
transcript.pyannote[1492].end 9867.24846875
transcript.pyannote[1493].speaker SPEAKER_21
transcript.pyannote[1493].start 9872.20971875
transcript.pyannote[1493].end 9897.82596875
transcript.pyannote[1494].speaker SPEAKER_01
transcript.pyannote[1494].start 9897.04971875
transcript.pyannote[1494].end 9897.97784375
transcript.pyannote[1495].speaker SPEAKER_21
transcript.pyannote[1495].start 9898.14659375
transcript.pyannote[1495].end 9920.40471875
transcript.pyannote[1496].speaker SPEAKER_30
transcript.pyannote[1496].start 9920.53971875
transcript.pyannote[1496].end 9925.21409375
transcript.pyannote[1497].speaker SPEAKER_21
transcript.pyannote[1497].start 9921.92346875
transcript.pyannote[1497].end 9922.59846875
transcript.pyannote[1498].speaker SPEAKER_21
transcript.pyannote[1498].start 9923.13846875
transcript.pyannote[1498].end 9923.86409375
transcript.pyannote[1499].speaker SPEAKER_30
transcript.pyannote[1499].start 9925.26471875
transcript.pyannote[1499].end 9937.83659375
transcript.pyannote[1500].speaker SPEAKER_04
transcript.pyannote[1500].start 9926.47971875
transcript.pyannote[1500].end 9927.52596875
transcript.pyannote[1501].speaker SPEAKER_01
transcript.pyannote[1501].start 9927.52596875
transcript.pyannote[1501].end 9927.59346875
transcript.pyannote[1502].speaker SPEAKER_21
transcript.pyannote[1502].start 9938.00534375
transcript.pyannote[1502].end 9972.49784375
transcript.pyannote[1503].speaker SPEAKER_19
transcript.pyannote[1503].start 9972.49784375
transcript.pyannote[1503].end 9977.15534375
transcript.pyannote[1504].speaker SPEAKER_21
transcript.pyannote[1504].start 9977.15534375
transcript.pyannote[1504].end 9979.16346875
transcript.pyannote[1505].speaker SPEAKER_19
transcript.pyannote[1505].start 9977.17221875
transcript.pyannote[1505].end 9977.84721875
transcript.pyannote[1506].speaker SPEAKER_21
transcript.pyannote[1506].start 9980.10846875
transcript.pyannote[1506].end 9992.84909375
transcript.pyannote[1507].speaker SPEAKER_00
transcript.pyannote[1507].start 9982.94346875
transcript.pyannote[1507].end 9982.96034375
transcript.pyannote[1508].speaker SPEAKER_01
transcript.pyannote[1508].start 9982.96034375
transcript.pyannote[1508].end 9983.24721875
transcript.pyannote[1509].speaker SPEAKER_21
transcript.pyannote[1509].start 9993.25409375
transcript.pyannote[1509].end 10009.06596875
transcript.pyannote[1510].speaker SPEAKER_30
transcript.pyannote[1510].start 10009.82534375
transcript.pyannote[1510].end 10033.38284375
transcript.pyannote[1511].speaker SPEAKER_21
transcript.pyannote[1511].start 10032.94409375
transcript.pyannote[1511].end 10035.44159375
transcript.pyannote[1512].speaker SPEAKER_30
transcript.pyannote[1512].start 10035.72846875
transcript.pyannote[1512].end 10036.03221875
transcript.pyannote[1513].speaker SPEAKER_04
transcript.pyannote[1513].start 10036.03221875
transcript.pyannote[1513].end 10038.31034375
transcript.pyannote[1514].speaker SPEAKER_30
transcript.pyannote[1514].start 10038.31034375
transcript.pyannote[1514].end 10038.34409375
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 10038.34409375
transcript.pyannote[1515].end 10039.03596875
transcript.pyannote[1516].speaker SPEAKER_30
transcript.pyannote[1516].start 10039.03596875
transcript.pyannote[1516].end 10039.27221875
transcript.pyannote[1517].speaker SPEAKER_04
transcript.pyannote[1517].start 10039.27221875
transcript.pyannote[1517].end 10043.25471875
transcript.pyannote[1518].speaker SPEAKER_30
transcript.pyannote[1518].start 10043.54159375
transcript.pyannote[1518].end 10043.55846875
transcript.pyannote[1519].speaker SPEAKER_04
transcript.pyannote[1519].start 10043.55846875
transcript.pyannote[1519].end 10051.27034375
transcript.pyannote[1520].speaker SPEAKER_30
transcript.pyannote[1520].start 10043.57534375
transcript.pyannote[1520].end 10044.01409375
transcript.pyannote[1521].speaker SPEAKER_01
transcript.pyannote[1521].start 10044.01409375
transcript.pyannote[1521].end 10044.03096875
transcript.pyannote[1522].speaker SPEAKER_01
transcript.pyannote[1522].start 10047.76034375
transcript.pyannote[1522].end 10047.77721875
transcript.pyannote[1523].speaker SPEAKER_30
transcript.pyannote[1523].start 10047.77721875
transcript.pyannote[1523].end 10047.96284375
transcript.pyannote[1524].speaker SPEAKER_01
transcript.pyannote[1524].start 10047.96284375
transcript.pyannote[1524].end 10048.26659375
transcript.pyannote[1525].speaker SPEAKER_00
transcript.pyannote[1525].start 10048.26659375
transcript.pyannote[1525].end 10048.31721875
transcript.pyannote[1526].speaker SPEAKER_04
transcript.pyannote[1526].start 10051.32096875
transcript.pyannote[1526].end 10070.03534375
transcript.pyannote[1527].speaker SPEAKER_00
transcript.pyannote[1527].start 10055.57346875
transcript.pyannote[1527].end 10056.34971875
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 10058.72909375
transcript.pyannote[1528].end 10059.08346875
transcript.pyannote[1529].speaker SPEAKER_00
transcript.pyannote[1529].start 10063.57221875
transcript.pyannote[1529].end 10063.58909375
transcript.pyannote[1530].speaker SPEAKER_21
transcript.pyannote[1530].start 10063.58909375
transcript.pyannote[1530].end 10064.19659375
transcript.pyannote[1531].speaker SPEAKER_21
transcript.pyannote[1531].start 10067.09909375
transcript.pyannote[1531].end 10067.80784375
transcript.pyannote[1532].speaker SPEAKER_21
transcript.pyannote[1532].start 10070.10284375
transcript.pyannote[1532].end 10070.71034375
transcript.pyannote[1533].speaker SPEAKER_21
transcript.pyannote[1533].start 10071.38534375
transcript.pyannote[1533].end 10071.57096875
transcript.pyannote[1534].speaker SPEAKER_21
transcript.pyannote[1534].start 10071.72284375
transcript.pyannote[1534].end 10082.50596875
transcript.pyannote[1535].speaker SPEAKER_21
transcript.pyannote[1535].start 10082.64096875
transcript.pyannote[1535].end 10090.80846875
transcript.pyannote[1536].speaker SPEAKER_21
transcript.pyannote[1536].start 10091.61846875
transcript.pyannote[1536].end 10094.97659375
transcript.pyannote[1537].speaker SPEAKER_03
transcript.pyannote[1537].start 10112.74596875
transcript.pyannote[1537].end 10126.09409375
transcript.pyannote[1538].speaker SPEAKER_03
transcript.pyannote[1538].start 10126.66784375
transcript.pyannote[1538].end 10127.37659375
transcript.pyannote[1539].speaker SPEAKER_03
transcript.pyannote[1539].start 10128.10221875
transcript.pyannote[1539].end 10131.37596875
transcript.pyannote[1540].speaker SPEAKER_03
transcript.pyannote[1540].start 10131.94971875
transcript.pyannote[1540].end 10133.70471875
transcript.pyannote[1541].speaker SPEAKER_03
transcript.pyannote[1541].start 10134.51471875
transcript.pyannote[1541].end 10138.05846875
transcript.pyannote[1542].speaker SPEAKER_03
transcript.pyannote[1542].start 10453.26659375
transcript.pyannote[1542].end 10454.46471875
transcript.pyannote[1543].speaker SPEAKER_03
transcript.pyannote[1543].start 10454.53221875
transcript.pyannote[1543].end 10458.71721875
transcript.pyannote[1544].speaker SPEAKER_03
transcript.pyannote[1544].start 10459.15596875
transcript.pyannote[1544].end 10461.92346875
transcript.pyannote[1545].speaker SPEAKER_15
transcript.pyannote[1545].start 10476.13221875
transcript.pyannote[1545].end 10479.42284375
transcript.pyannote[1546].speaker SPEAKER_03
transcript.pyannote[1546].start 10479.42284375
transcript.pyannote[1546].end 10482.29159375
transcript.pyannote[1547].speaker SPEAKER_30
transcript.pyannote[1547].start 10486.89846875
transcript.pyannote[1547].end 10490.27346875
transcript.pyannote[1548].speaker SPEAKER_15
transcript.pyannote[1548].start 10493.51346875
transcript.pyannote[1548].end 10494.42471875
transcript.pyannote[1549].speaker SPEAKER_01
transcript.pyannote[1549].start 10494.32346875
transcript.pyannote[1549].end 10494.42471875
transcript.pyannote[1550].speaker SPEAKER_14
transcript.pyannote[1550].start 10494.42471875
transcript.pyannote[1550].end 10495.09971875
transcript.pyannote[1551].speaker SPEAKER_15
transcript.pyannote[1551].start 10501.83284375
transcript.pyannote[1551].end 10503.35159375
transcript.pyannote[1552].speaker SPEAKER_15
transcript.pyannote[1552].start 10503.43596875
transcript.pyannote[1552].end 10509.13971875
transcript.pyannote[1553].speaker SPEAKER_15
transcript.pyannote[1553].start 10509.39284375
transcript.pyannote[1553].end 10617.37596875
transcript.pyannote[1554].speaker SPEAKER_15
transcript.pyannote[1554].start 10617.76409375
transcript.pyannote[1554].end 10671.02159375
transcript.pyannote[1555].speaker SPEAKER_23
transcript.pyannote[1555].start 10671.62909375
transcript.pyannote[1555].end 10673.35034375
transcript.pyannote[1556].speaker SPEAKER_23
transcript.pyannote[1556].start 10673.43471875
transcript.pyannote[1556].end 10677.75471875
transcript.pyannote[1557].speaker SPEAKER_23
transcript.pyannote[1557].start 10678.21034375
transcript.pyannote[1557].end 10690.66409375
transcript.pyannote[1558].speaker SPEAKER_23
transcript.pyannote[1558].start 10691.01846875
transcript.pyannote[1558].end 10694.30909375
transcript.pyannote[1559].speaker SPEAKER_23
transcript.pyannote[1559].start 10694.69721875
transcript.pyannote[1559].end 10701.44721875
transcript.pyannote[1560].speaker SPEAKER_23
transcript.pyannote[1560].start 10701.68346875
transcript.pyannote[1560].end 10709.59784375
transcript.pyannote[1561].speaker SPEAKER_23
transcript.pyannote[1561].start 10709.90159375
transcript.pyannote[1561].end 10715.48721875
transcript.pyannote[1562].speaker SPEAKER_23
transcript.pyannote[1562].start 10715.90909375
transcript.pyannote[1562].end 10745.44034375
transcript.pyannote[1563].speaker SPEAKER_15
transcript.pyannote[1563].start 10745.44034375
transcript.pyannote[1563].end 10745.47409375
transcript.pyannote[1564].speaker SPEAKER_23
transcript.pyannote[1564].start 10746.53721875
transcript.pyannote[1564].end 10746.55409375
transcript.pyannote[1565].speaker SPEAKER_15
transcript.pyannote[1565].start 10746.55409375
transcript.pyannote[1565].end 10810.03784375
transcript.pyannote[1566].speaker SPEAKER_23
transcript.pyannote[1566].start 10810.03784375
transcript.pyannote[1566].end 10810.27409375
transcript.pyannote[1567].speaker SPEAKER_15
transcript.pyannote[1567].start 10810.81409375
transcript.pyannote[1567].end 10810.83096875
transcript.pyannote[1568].speaker SPEAKER_23
transcript.pyannote[1568].start 10810.83096875
transcript.pyannote[1568].end 10817.54721875
transcript.pyannote[1569].speaker SPEAKER_23
transcript.pyannote[1569].start 10818.10409375
transcript.pyannote[1569].end 10820.36534375
transcript.pyannote[1570].speaker SPEAKER_23
transcript.pyannote[1570].start 10820.83784375
transcript.pyannote[1570].end 10837.47659375
transcript.pyannote[1571].speaker SPEAKER_23
transcript.pyannote[1571].start 10837.71284375
transcript.pyannote[1571].end 10855.22909375
transcript.pyannote[1572].speaker SPEAKER_23
transcript.pyannote[1572].start 10855.56659375
transcript.pyannote[1572].end 10856.84909375
transcript.pyannote[1573].speaker SPEAKER_15
transcript.pyannote[1573].start 10857.20346875
transcript.pyannote[1573].end 10915.20284375
transcript.pyannote[1574].speaker SPEAKER_15
transcript.pyannote[1574].start 10915.37159375
transcript.pyannote[1574].end 10938.67596875
transcript.pyannote[1575].speaker SPEAKER_15
transcript.pyannote[1575].start 10938.97971875
transcript.pyannote[1575].end 10941.12284375
transcript.pyannote[1576].speaker SPEAKER_15
transcript.pyannote[1576].start 10941.40971875
transcript.pyannote[1576].end 10949.62784375
transcript.pyannote[1577].speaker SPEAKER_15
transcript.pyannote[1577].start 10949.93159375
transcript.pyannote[1577].end 10952.98596875
transcript.pyannote[1578].speaker SPEAKER_15
transcript.pyannote[1578].start 10953.10409375
transcript.pyannote[1578].end 11002.34534375
transcript.pyannote[1579].speaker SPEAKER_23
transcript.pyannote[1579].start 11002.46346875
transcript.pyannote[1579].end 11037.04034375
transcript.pyannote[1580].speaker SPEAKER_00
transcript.pyannote[1580].start 11033.80034375
transcript.pyannote[1580].end 11033.86784375
transcript.pyannote[1581].speaker SPEAKER_00
transcript.pyannote[1581].start 11034.10409375
transcript.pyannote[1581].end 11034.18846875
transcript.pyannote[1582].speaker SPEAKER_23
transcript.pyannote[1582].start 11037.29346875
transcript.pyannote[1582].end 11052.76784375
transcript.pyannote[1583].speaker SPEAKER_23
transcript.pyannote[1583].start 11053.30784375
transcript.pyannote[1583].end 11054.28659375
transcript.pyannote[1584].speaker SPEAKER_15
transcript.pyannote[1584].start 11054.70846875
transcript.pyannote[1584].end 11089.11659375
transcript.pyannote[1585].speaker SPEAKER_15
transcript.pyannote[1585].start 11089.33596875
transcript.pyannote[1585].end 11115.81284375
transcript.pyannote[1586].speaker SPEAKER_15
transcript.pyannote[1586].start 11116.09971875
transcript.pyannote[1586].end 11147.08221875
transcript.pyannote[1587].speaker SPEAKER_23
transcript.pyannote[1587].start 11145.36096875
transcript.pyannote[1587].end 11146.82909375
transcript.pyannote[1588].speaker SPEAKER_23
transcript.pyannote[1588].start 11147.28471875
transcript.pyannote[1588].end 11179.56659375
transcript.pyannote[1589].speaker SPEAKER_23
transcript.pyannote[1589].start 11179.83659375
transcript.pyannote[1589].end 11186.09721875
transcript.pyannote[1590].speaker SPEAKER_23
transcript.pyannote[1590].start 11186.40096875
transcript.pyannote[1590].end 11201.41971875
transcript.pyannote[1591].speaker SPEAKER_15
transcript.pyannote[1591].start 11201.41971875
transcript.pyannote[1591].end 11212.15221875
transcript.pyannote[1592].speaker SPEAKER_15
transcript.pyannote[1592].start 11212.38846875
transcript.pyannote[1592].end 11218.15971875
transcript.pyannote[1593].speaker SPEAKER_15
transcript.pyannote[1593].start 11218.53096875
transcript.pyannote[1593].end 11219.91471875
transcript.pyannote[1594].speaker SPEAKER_15
transcript.pyannote[1594].start 11220.10034375
transcript.pyannote[1594].end 11247.37034375
transcript.pyannote[1595].speaker SPEAKER_30
transcript.pyannote[1595].start 11247.84284375
transcript.pyannote[1595].end 11260.07721875
transcript.pyannote[1596].speaker SPEAKER_30
transcript.pyannote[1596].start 11260.27971875
transcript.pyannote[1596].end 11274.28596875
transcript.pyannote[1597].speaker SPEAKER_15
transcript.pyannote[1597].start 11273.44221875
transcript.pyannote[1597].end 11281.45784375
transcript.pyannote[1598].speaker SPEAKER_15
transcript.pyannote[1598].start 11281.64346875
transcript.pyannote[1598].end 11286.97596875
transcript.pyannote[1599].speaker SPEAKER_01
transcript.pyannote[1599].start 11281.66034375
transcript.pyannote[1599].end 11282.33534375
transcript.pyannote[1600].speaker SPEAKER_15
transcript.pyannote[1600].start 11287.24596875
transcript.pyannote[1600].end 11297.03346875
transcript.pyannote[1601].speaker SPEAKER_15
transcript.pyannote[1601].start 11297.11784375
transcript.pyannote[1601].end 11302.85534375
transcript.pyannote[1602].speaker SPEAKER_15
transcript.pyannote[1602].start 11303.02409375
transcript.pyannote[1602].end 11360.43284375
transcript.pyannote[1603].speaker SPEAKER_15
transcript.pyannote[1603].start 11360.44971875
transcript.pyannote[1603].end 11362.69409375
transcript.pyannote[1604].speaker SPEAKER_15
transcript.pyannote[1604].start 11362.94721875
transcript.pyannote[1604].end 11374.62471875
transcript.pyannote[1605].speaker SPEAKER_23
transcript.pyannote[1605].start 11375.09721875
transcript.pyannote[1605].end 11397.01784375
transcript.pyannote[1606].speaker SPEAKER_23
transcript.pyannote[1606].start 11397.42284375
transcript.pyannote[1606].end 11399.12721875
transcript.pyannote[1607].speaker SPEAKER_03
transcript.pyannote[1607].start 11409.08346875
transcript.pyannote[1607].end 11412.61034375
transcript.pyannote[1608].speaker SPEAKER_03
transcript.pyannote[1608].start 11412.99846875
transcript.pyannote[1608].end 11417.11596875
transcript.pyannote[1609].speaker SPEAKER_31
transcript.pyannote[1609].start 11422.97159375
transcript.pyannote[1609].end 11423.03909375
transcript.pyannote[1610].speaker SPEAKER_31
transcript.pyannote[1610].start 11423.34284375
transcript.pyannote[1610].end 11424.10221875
transcript.pyannote[1611].speaker SPEAKER_31
transcript.pyannote[1611].start 11424.47346875
transcript.pyannote[1611].end 11425.50284375
transcript.pyannote[1612].speaker SPEAKER_31
transcript.pyannote[1612].start 11425.62096875
transcript.pyannote[1612].end 11429.90721875
transcript.pyannote[1613].speaker SPEAKER_03
transcript.pyannote[1613].start 11430.39659375
transcript.pyannote[1613].end 11432.69159375
transcript.pyannote[1614].speaker SPEAKER_31
transcript.pyannote[1614].start 11434.66596875
transcript.pyannote[1614].end 11438.36159375
transcript.pyannote[1615].speaker SPEAKER_30
transcript.pyannote[1615].start 11438.14221875
transcript.pyannote[1615].end 11439.34034375
transcript.pyannote[1616].speaker SPEAKER_31
transcript.pyannote[1616].start 11439.34034375
transcript.pyannote[1616].end 11444.99346875
transcript.pyannote[1617].speaker SPEAKER_30
transcript.pyannote[1617].start 11445.41534375
transcript.pyannote[1617].end 11446.83284375
transcript.pyannote[1618].speaker SPEAKER_31
transcript.pyannote[1618].start 11447.33909375
transcript.pyannote[1618].end 11451.22034375
transcript.pyannote[1619].speaker SPEAKER_31
transcript.pyannote[1619].start 11451.70971875
transcript.pyannote[1619].end 11452.43534375
transcript.pyannote[1620].speaker SPEAKER_31
transcript.pyannote[1620].start 11453.29596875
transcript.pyannote[1620].end 11455.06784375
transcript.pyannote[1621].speaker SPEAKER_31
transcript.pyannote[1621].start 11455.38846875
transcript.pyannote[1621].end 11455.82721875
transcript.pyannote[1622].speaker SPEAKER_31
transcript.pyannote[1622].start 11456.16471875
transcript.pyannote[1622].end 11459.20221875
transcript.pyannote[1623].speaker SPEAKER_31
transcript.pyannote[1623].start 11459.40471875
transcript.pyannote[1623].end 11463.84284375
transcript.pyannote[1624].speaker SPEAKER_30
transcript.pyannote[1624].start 11459.42159375
transcript.pyannote[1624].end 11459.99534375
transcript.pyannote[1625].speaker SPEAKER_31
transcript.pyannote[1625].start 11464.39971875
transcript.pyannote[1625].end 11465.96909375
transcript.pyannote[1626].speaker SPEAKER_31
transcript.pyannote[1626].start 11466.23909375
transcript.pyannote[1626].end 11467.75784375
transcript.pyannote[1627].speaker SPEAKER_31
transcript.pyannote[1627].start 11467.85909375
transcript.pyannote[1627].end 11468.92221875
transcript.pyannote[1628].speaker SPEAKER_31
transcript.pyannote[1628].start 11469.32721875
transcript.pyannote[1628].end 11470.06971875
transcript.pyannote[1629].speaker SPEAKER_31
transcript.pyannote[1629].start 11470.35659375
transcript.pyannote[1629].end 11473.63034375
transcript.pyannote[1630].speaker SPEAKER_31
transcript.pyannote[1630].start 11474.10284375
transcript.pyannote[1630].end 11475.43596875
transcript.pyannote[1631].speaker SPEAKER_31
transcript.pyannote[1631].start 11475.60471875
transcript.pyannote[1631].end 11476.46534375
transcript.pyannote[1632].speaker SPEAKER_31
transcript.pyannote[1632].start 11476.70159375
transcript.pyannote[1632].end 11477.83221875
transcript.pyannote[1633].speaker SPEAKER_31
transcript.pyannote[1633].start 11478.76034375
transcript.pyannote[1633].end 11480.95409375
transcript.pyannote[1634].speaker SPEAKER_30
transcript.pyannote[1634].start 11481.88221875
transcript.pyannote[1634].end 11489.08784375
transcript.pyannote[1635].speaker SPEAKER_31
transcript.pyannote[1635].start 11485.25721875
transcript.pyannote[1635].end 11485.89846875
transcript.pyannote[1636].speaker SPEAKER_31
transcript.pyannote[1636].start 11487.60284375
transcript.pyannote[1636].end 11495.29784375
transcript.pyannote[1637].speaker SPEAKER_31
transcript.pyannote[1637].start 11495.55096875
transcript.pyannote[1637].end 11496.86721875
transcript.pyannote[1638].speaker SPEAKER_31
transcript.pyannote[1638].start 11497.12034375
transcript.pyannote[1638].end 11497.66034375
transcript.pyannote[1639].speaker SPEAKER_31
transcript.pyannote[1639].start 11498.01471875
transcript.pyannote[1639].end 11502.55409375
transcript.pyannote[1640].speaker SPEAKER_31
transcript.pyannote[1640].start 11502.67221875
transcript.pyannote[1640].end 11504.05596875
transcript.pyannote[1641].speaker SPEAKER_31
transcript.pyannote[1641].start 11504.46096875
transcript.pyannote[1641].end 11509.05096875
transcript.pyannote[1642].speaker SPEAKER_31
transcript.pyannote[1642].start 11509.45596875
transcript.pyannote[1642].end 11509.94534375
transcript.pyannote[1643].speaker SPEAKER_31
transcript.pyannote[1643].start 11510.31659375
transcript.pyannote[1643].end 11512.08846875
transcript.pyannote[1644].speaker SPEAKER_31
transcript.pyannote[1644].start 11512.40909375
transcript.pyannote[1644].end 11516.86409375
transcript.pyannote[1645].speaker SPEAKER_31
transcript.pyannote[1645].start 11516.98221875
transcript.pyannote[1645].end 11517.82596875
transcript.pyannote[1646].speaker SPEAKER_31
transcript.pyannote[1646].start 11518.07909375
transcript.pyannote[1646].end 11521.58909375
transcript.pyannote[1647].speaker SPEAKER_31
transcript.pyannote[1647].start 11521.96034375
transcript.pyannote[1647].end 11524.06971875
transcript.pyannote[1648].speaker SPEAKER_31
transcript.pyannote[1648].start 11524.54221875
transcript.pyannote[1648].end 11525.48721875
transcript.pyannote[1649].speaker SPEAKER_31
transcript.pyannote[1649].start 11525.92596875
transcript.pyannote[1649].end 11527.49534375
transcript.pyannote[1650].speaker SPEAKER_31
transcript.pyannote[1650].start 11527.91721875
transcript.pyannote[1650].end 11532.18659375
transcript.pyannote[1651].speaker SPEAKER_31
transcript.pyannote[1651].start 11532.79409375
transcript.pyannote[1651].end 11537.85659375
transcript.pyannote[1652].speaker SPEAKER_31
transcript.pyannote[1652].start 11538.24471875
transcript.pyannote[1652].end 11540.67471875
transcript.pyannote[1653].speaker SPEAKER_31
transcript.pyannote[1653].start 11540.70846875
transcript.pyannote[1653].end 11541.56909375
transcript.pyannote[1654].speaker SPEAKER_31
transcript.pyannote[1654].start 11541.90659375
transcript.pyannote[1654].end 11545.73721875
transcript.pyannote[1655].speaker SPEAKER_31
transcript.pyannote[1655].start 11546.12534375
transcript.pyannote[1655].end 11546.27721875
transcript.pyannote[1656].speaker SPEAKER_31
transcript.pyannote[1656].start 11546.53034375
transcript.pyannote[1656].end 11548.72409375
transcript.pyannote[1657].speaker SPEAKER_31
transcript.pyannote[1657].start 11549.01096875
transcript.pyannote[1657].end 11551.22159375
transcript.pyannote[1658].speaker SPEAKER_31
transcript.pyannote[1658].start 11551.64346875
transcript.pyannote[1658].end 11555.40659375
transcript.pyannote[1659].speaker SPEAKER_31
transcript.pyannote[1659].start 11556.23346875
transcript.pyannote[1659].end 11559.42284375
transcript.pyannote[1660].speaker SPEAKER_31
transcript.pyannote[1660].start 11559.59159375
transcript.pyannote[1660].end 11561.07659375
transcript.pyannote[1661].speaker SPEAKER_31
transcript.pyannote[1661].start 11561.92034375
transcript.pyannote[1661].end 11565.19409375
transcript.pyannote[1662].speaker SPEAKER_31
transcript.pyannote[1662].start 11565.90284375
transcript.pyannote[1662].end 11569.21034375
transcript.pyannote[1663].speaker SPEAKER_31
transcript.pyannote[1663].start 11569.46346875
transcript.pyannote[1663].end 11570.74596875
transcript.pyannote[1664].speaker SPEAKER_31
transcript.pyannote[1664].start 11570.86409375
transcript.pyannote[1664].end 11572.24784375
transcript.pyannote[1665].speaker SPEAKER_31
transcript.pyannote[1665].start 11572.68659375
transcript.pyannote[1665].end 11574.93096875
transcript.pyannote[1666].speaker SPEAKER_31
transcript.pyannote[1666].start 11575.45409375
transcript.pyannote[1666].end 11583.43596875
transcript.pyannote[1667].speaker SPEAKER_31
transcript.pyannote[1667].start 11583.63846875
transcript.pyannote[1667].end 11586.49034375
transcript.pyannote[1668].speaker SPEAKER_31
transcript.pyannote[1668].start 11587.16534375
transcript.pyannote[1668].end 11589.49409375
transcript.pyannote[1669].speaker SPEAKER_31
transcript.pyannote[1669].start 11590.20284375
transcript.pyannote[1669].end 11601.44159375
transcript.pyannote[1670].speaker SPEAKER_23
transcript.pyannote[1670].start 11602.08284375
transcript.pyannote[1670].end 11605.55909375
transcript.pyannote[1671].speaker SPEAKER_31
transcript.pyannote[1671].start 11605.17096875
transcript.pyannote[1671].end 11607.68534375
transcript.pyannote[1672].speaker SPEAKER_23
transcript.pyannote[1672].start 11607.93846875
transcript.pyannote[1672].end 11608.76534375
transcript.pyannote[1673].speaker SPEAKER_31
transcript.pyannote[1673].start 11607.97221875
transcript.pyannote[1673].end 11608.88346875
transcript.pyannote[1674].speaker SPEAKER_23
transcript.pyannote[1674].start 11608.88346875
transcript.pyannote[1674].end 11614.73909375
transcript.pyannote[1675].speaker SPEAKER_31
transcript.pyannote[1675].start 11612.81534375
transcript.pyannote[1675].end 11612.96721875
transcript.pyannote[1676].speaker SPEAKER_31
transcript.pyannote[1676].start 11614.33409375
transcript.pyannote[1676].end 11614.75596875
transcript.pyannote[1677].speaker SPEAKER_23
transcript.pyannote[1677].start 11614.75596875
transcript.pyannote[1677].end 11616.93284375
transcript.pyannote[1678].speaker SPEAKER_31
transcript.pyannote[1678].start 11616.62909375
transcript.pyannote[1678].end 11620.81409375
transcript.pyannote[1679].speaker SPEAKER_23
transcript.pyannote[1679].start 11620.81409375
transcript.pyannote[1679].end 11621.87721875
transcript.pyannote[1680].speaker SPEAKER_31
transcript.pyannote[1680].start 11620.83096875
transcript.pyannote[1680].end 11627.71596875
transcript.pyannote[1681].speaker SPEAKER_31
transcript.pyannote[1681].start 11627.86784375
transcript.pyannote[1681].end 11630.80409375
transcript.pyannote[1682].speaker SPEAKER_31
transcript.pyannote[1682].start 11631.04034375
transcript.pyannote[1682].end 11633.08221875
transcript.pyannote[1683].speaker SPEAKER_31
transcript.pyannote[1683].start 11633.55471875
transcript.pyannote[1683].end 11637.57096875
transcript.pyannote[1684].speaker SPEAKER_31
transcript.pyannote[1684].start 11637.79034375
transcript.pyannote[1684].end 11642.04284375
transcript.pyannote[1685].speaker SPEAKER_31
transcript.pyannote[1685].start 11642.26221875
transcript.pyannote[1685].end 11643.19034375
transcript.pyannote[1686].speaker SPEAKER_31
transcript.pyannote[1686].start 11643.39284375
transcript.pyannote[1686].end 11644.60784375
transcript.pyannote[1687].speaker SPEAKER_31
transcript.pyannote[1687].start 11645.11409375
transcript.pyannote[1687].end 11645.97471875
transcript.pyannote[1688].speaker SPEAKER_31
transcript.pyannote[1688].start 11646.19409375
transcript.pyannote[1688].end 11647.10534375
transcript.pyannote[1689].speaker SPEAKER_31
transcript.pyannote[1689].start 11647.15596875
transcript.pyannote[1689].end 11647.56096875
transcript.pyannote[1690].speaker SPEAKER_31
transcript.pyannote[1690].start 11648.62409375
transcript.pyannote[1690].end 11654.85096875
transcript.pyannote[1691].speaker SPEAKER_31
transcript.pyannote[1691].start 11655.13784375
transcript.pyannote[1691].end 11656.35284375
transcript.pyannote[1692].speaker SPEAKER_31
transcript.pyannote[1692].start 11656.60596875
transcript.pyannote[1692].end 11659.22159375
transcript.pyannote[1693].speaker SPEAKER_31
transcript.pyannote[1693].start 11659.74471875
transcript.pyannote[1693].end 11661.53346875
transcript.pyannote[1694].speaker SPEAKER_31
transcript.pyannote[1694].start 11661.83721875
transcript.pyannote[1694].end 11662.49534375
transcript.pyannote[1695].speaker SPEAKER_31
transcript.pyannote[1695].start 11664.26721875
transcript.pyannote[1695].end 11668.53659375
transcript.pyannote[1696].speaker SPEAKER_31
transcript.pyannote[1696].start 11668.78971875
transcript.pyannote[1696].end 11671.79346875
transcript.pyannote[1697].speaker SPEAKER_31
transcript.pyannote[1697].start 11672.26596875
transcript.pyannote[1697].end 11676.23159375
transcript.pyannote[1698].speaker SPEAKER_31
transcript.pyannote[1698].start 11676.45096875
transcript.pyannote[1698].end 11679.80909375
transcript.pyannote[1699].speaker SPEAKER_31
transcript.pyannote[1699].start 11680.43346875
transcript.pyannote[1699].end 11682.30659375
transcript.pyannote[1700].speaker SPEAKER_31
transcript.pyannote[1700].start 11682.96471875
transcript.pyannote[1700].end 11685.41159375
transcript.pyannote[1701].speaker SPEAKER_31
transcript.pyannote[1701].start 11685.86721875
transcript.pyannote[1701].end 11686.23846875
transcript.pyannote[1702].speaker SPEAKER_31
transcript.pyannote[1702].start 11686.71096875
transcript.pyannote[1702].end 11689.44471875
transcript.pyannote[1703].speaker SPEAKER_23
transcript.pyannote[1703].start 11689.79909375
transcript.pyannote[1703].end 11691.62159375
transcript.pyannote[1704].speaker SPEAKER_31
transcript.pyannote[1704].start 11691.80721875
transcript.pyannote[1704].end 11698.92846875
transcript.pyannote[1705].speaker SPEAKER_31
transcript.pyannote[1705].start 11699.40096875
transcript.pyannote[1705].end 11702.35409375
transcript.pyannote[1706].speaker SPEAKER_31
transcript.pyannote[1706].start 11703.24846875
transcript.pyannote[1706].end 11704.88534375
transcript.pyannote[1707].speaker SPEAKER_31
transcript.pyannote[1707].start 11705.15534375
transcript.pyannote[1707].end 11709.76221875
transcript.pyannote[1708].speaker SPEAKER_31
transcript.pyannote[1708].start 11710.45409375
transcript.pyannote[1708].end 11720.89971875
transcript.pyannote[1709].speaker SPEAKER_31
transcript.pyannote[1709].start 11721.32159375
transcript.pyannote[1709].end 11722.70534375
transcript.pyannote[1710].speaker SPEAKER_31
transcript.pyannote[1710].start 11723.12721875
transcript.pyannote[1710].end 11724.76409375
transcript.pyannote[1711].speaker SPEAKER_31
transcript.pyannote[1711].start 11725.27034375
transcript.pyannote[1711].end 11726.70471875
transcript.pyannote[1712].speaker SPEAKER_31
transcript.pyannote[1712].start 11727.04221875
transcript.pyannote[1712].end 11727.46409375
transcript.pyannote[1713].speaker SPEAKER_31
transcript.pyannote[1713].start 11727.75096875
transcript.pyannote[1713].end 11731.81784375
transcript.pyannote[1714].speaker SPEAKER_31
transcript.pyannote[1714].start 11732.39159375
transcript.pyannote[1714].end 11734.07909375
transcript.pyannote[1715].speaker SPEAKER_31
transcript.pyannote[1715].start 11734.11284375
transcript.pyannote[1715].end 11741.82471875
transcript.pyannote[1716].speaker SPEAKER_31
transcript.pyannote[1716].start 11742.04409375
transcript.pyannote[1716].end 11746.36409375
transcript.pyannote[1717].speaker SPEAKER_31
transcript.pyannote[1717].start 11746.90409375
transcript.pyannote[1717].end 11751.86534375
transcript.pyannote[1718].speaker SPEAKER_31
transcript.pyannote[1718].start 11752.00034375
transcript.pyannote[1718].end 11753.83971875
transcript.pyannote[1719].speaker SPEAKER_31
transcript.pyannote[1719].start 11754.09284375
transcript.pyannote[1719].end 11755.57784375
transcript.pyannote[1720].speaker SPEAKER_31
transcript.pyannote[1720].start 11755.94909375
transcript.pyannote[1720].end 11760.45471875
transcript.pyannote[1721].speaker SPEAKER_31
transcript.pyannote[1721].start 11760.87659375
transcript.pyannote[1721].end 11767.98096875
transcript.pyannote[1722].speaker SPEAKER_31
transcript.pyannote[1722].start 11768.18346875
transcript.pyannote[1722].end 11780.67096875
transcript.pyannote[1723].speaker SPEAKER_31
transcript.pyannote[1723].start 11781.21096875
transcript.pyannote[1723].end 11783.18534375
transcript.pyannote[1724].speaker SPEAKER_31
transcript.pyannote[1724].start 11783.43846875
transcript.pyannote[1724].end 11784.13034375
transcript.pyannote[1725].speaker SPEAKER_31
transcript.pyannote[1725].start 11784.36659375
transcript.pyannote[1725].end 11785.36221875
transcript.pyannote[1726].speaker SPEAKER_31
transcript.pyannote[1726].start 11785.88534375
transcript.pyannote[1726].end 11788.97346875
transcript.pyannote[1727].speaker SPEAKER_23
transcript.pyannote[1727].start 11788.97346875
transcript.pyannote[1727].end 11807.02971875
transcript.pyannote[1728].speaker SPEAKER_31
transcript.pyannote[1728].start 11789.20971875
transcript.pyannote[1728].end 11789.96909375
transcript.pyannote[1729].speaker SPEAKER_30
transcript.pyannote[1729].start 11789.96909375
transcript.pyannote[1729].end 11790.03659375
transcript.pyannote[1730].speaker SPEAKER_01
transcript.pyannote[1730].start 11790.03659375
transcript.pyannote[1730].end 11790.20534375
transcript.pyannote[1731].speaker SPEAKER_31
transcript.pyannote[1731].start 11790.20534375
transcript.pyannote[1731].end 11790.96471875
transcript.pyannote[1732].speaker SPEAKER_01
transcript.pyannote[1732].start 11790.96471875
transcript.pyannote[1732].end 11791.47096875
transcript.pyannote[1733].speaker SPEAKER_31
transcript.pyannote[1733].start 11791.47096875
transcript.pyannote[1733].end 11791.48784375
transcript.pyannote[1734].speaker SPEAKER_01
transcript.pyannote[1734].start 11791.48784375
transcript.pyannote[1734].end 11791.82534375
transcript.pyannote[1735].speaker SPEAKER_31
transcript.pyannote[1735].start 11791.82534375
transcript.pyannote[1735].end 11792.43284375
transcript.pyannote[1736].speaker SPEAKER_23
transcript.pyannote[1736].start 11807.40096875
transcript.pyannote[1736].end 11815.60221875
transcript.pyannote[1737].speaker SPEAKER_23
transcript.pyannote[1737].start 11815.85534375
transcript.pyannote[1737].end 11830.55346875
transcript.pyannote[1738].speaker SPEAKER_23
transcript.pyannote[1738].start 11831.00909375
transcript.pyannote[1738].end 11846.02784375
transcript.pyannote[1739].speaker SPEAKER_23
transcript.pyannote[1739].start 11846.33159375
transcript.pyannote[1739].end 11854.61721875
transcript.pyannote[1740].speaker SPEAKER_23
transcript.pyannote[1740].start 11855.17409375
transcript.pyannote[1740].end 11861.36721875
transcript.pyannote[1741].speaker SPEAKER_23
transcript.pyannote[1741].start 11861.68784375
transcript.pyannote[1741].end 11866.09221875
transcript.pyannote[1742].speaker SPEAKER_23
transcript.pyannote[1742].start 11866.88534375
transcript.pyannote[1742].end 11867.66159375
transcript.pyannote[1743].speaker SPEAKER_23
transcript.pyannote[1743].start 11867.99909375
transcript.pyannote[1743].end 11870.02409375
transcript.pyannote[1744].speaker SPEAKER_23
transcript.pyannote[1744].start 11870.12534375
transcript.pyannote[1744].end 11887.50659375
transcript.pyannote[1745].speaker SPEAKER_31
transcript.pyannote[1745].start 11887.18596875
transcript.pyannote[1745].end 11887.23659375
transcript.pyannote[1746].speaker SPEAKER_31
transcript.pyannote[1746].start 11887.40534375
transcript.pyannote[1746].end 11887.43909375
transcript.pyannote[1747].speaker SPEAKER_31
transcript.pyannote[1747].start 11887.50659375
transcript.pyannote[1747].end 11895.84284375
transcript.pyannote[1748].speaker SPEAKER_23
transcript.pyannote[1748].start 11888.23221875
transcript.pyannote[1748].end 11888.92409375
transcript.pyannote[1749].speaker SPEAKER_31
transcript.pyannote[1749].start 11896.02846875
transcript.pyannote[1749].end 11901.95159375
transcript.pyannote[1750].speaker SPEAKER_31
transcript.pyannote[1750].start 11902.33971875
transcript.pyannote[1750].end 11911.50284375
transcript.pyannote[1751].speaker SPEAKER_31
transcript.pyannote[1751].start 11912.14409375
transcript.pyannote[1751].end 11930.77409375
transcript.pyannote[1752].speaker SPEAKER_31
transcript.pyannote[1752].start 11931.02721875
transcript.pyannote[1752].end 11938.26659375
transcript.pyannote[1753].speaker SPEAKER_31
transcript.pyannote[1753].start 11938.50284375
transcript.pyannote[1753].end 11939.07659375
transcript.pyannote[1754].speaker SPEAKER_31
transcript.pyannote[1754].start 11939.85284375
transcript.pyannote[1754].end 11943.53159375
transcript.pyannote[1755].speaker SPEAKER_31
transcript.pyannote[1755].start 11943.61596875
transcript.pyannote[1755].end 11945.20221875
transcript.pyannote[1756].speaker SPEAKER_31
transcript.pyannote[1756].start 11945.38784375
transcript.pyannote[1756].end 11947.14284375
transcript.pyannote[1757].speaker SPEAKER_31
transcript.pyannote[1757].start 11947.80096875
transcript.pyannote[1757].end 11954.95596875
transcript.pyannote[1758].speaker SPEAKER_31
transcript.pyannote[1758].start 11955.37784375
transcript.pyannote[1758].end 11959.76534375
transcript.pyannote[1759].speaker SPEAKER_23
transcript.pyannote[1759].start 11960.49096875
transcript.pyannote[1759].end 11974.61534375
transcript.pyannote[1760].speaker SPEAKER_23
transcript.pyannote[1760].start 11974.81784375
transcript.pyannote[1760].end 12000.21471875
transcript.pyannote[1761].speaker SPEAKER_23
transcript.pyannote[1761].start 12000.43409375
transcript.pyannote[1761].end 12017.15721875
transcript.pyannote[1762].speaker SPEAKER_31
transcript.pyannote[1762].start 12016.11096875
transcript.pyannote[1762].end 12028.63221875
transcript.pyannote[1763].speaker SPEAKER_23
transcript.pyannote[1763].start 12017.62971875
transcript.pyannote[1763].end 12018.10221875
transcript.pyannote[1764].speaker SPEAKER_31
transcript.pyannote[1764].start 12028.90221875
transcript.pyannote[1764].end 12048.19034375
transcript.pyannote[1765].speaker SPEAKER_31
transcript.pyannote[1765].start 12048.73034375
transcript.pyannote[1765].end 12051.80159375
transcript.pyannote[1766].speaker SPEAKER_31
transcript.pyannote[1766].start 12052.49346875
transcript.pyannote[1766].end 12053.21909375
transcript.pyannote[1767].speaker SPEAKER_23
transcript.pyannote[1767].start 12054.26534375
transcript.pyannote[1767].end 12074.76846875
transcript.pyannote[1768].speaker SPEAKER_00
transcript.pyannote[1768].start 12068.22096875
transcript.pyannote[1768].end 12068.59221875
transcript.pyannote[1769].speaker SPEAKER_01
transcript.pyannote[1769].start 12068.59221875
transcript.pyannote[1769].end 12068.72721875
transcript.pyannote[1770].speaker SPEAKER_00
transcript.pyannote[1770].start 12068.72721875
transcript.pyannote[1770].end 12068.74409375
transcript.pyannote[1771].speaker SPEAKER_01
transcript.pyannote[1771].start 12068.74409375
transcript.pyannote[1771].end 12068.77784375
transcript.pyannote[1772].speaker SPEAKER_00
transcript.pyannote[1772].start 12068.77784375
transcript.pyannote[1772].end 12068.89596875
transcript.pyannote[1773].speaker SPEAKER_23
transcript.pyannote[1773].start 12075.15659375
transcript.pyannote[1773].end 12100.72221875
transcript.pyannote[1774].speaker SPEAKER_31
transcript.pyannote[1774].start 12100.90784375
transcript.pyannote[1774].end 12100.92471875
transcript.pyannote[1775].speaker SPEAKER_23
transcript.pyannote[1775].start 12100.92471875
transcript.pyannote[1775].end 12100.94159375
transcript.pyannote[1776].speaker SPEAKER_31
transcript.pyannote[1776].start 12100.94159375
transcript.pyannote[1776].end 12103.43909375
transcript.pyannote[1777].speaker SPEAKER_23
transcript.pyannote[1777].start 12100.95846875
transcript.pyannote[1777].end 12102.22409375
transcript.pyannote[1778].speaker SPEAKER_31
transcript.pyannote[1778].start 12103.87784375
transcript.pyannote[1778].end 12104.36721875
transcript.pyannote[1779].speaker SPEAKER_31
transcript.pyannote[1779].start 12104.65409375
transcript.pyannote[1779].end 12107.50596875
transcript.pyannote[1780].speaker SPEAKER_23
transcript.pyannote[1780].start 12106.29096875
transcript.pyannote[1780].end 12118.89659375
transcript.pyannote[1781].speaker SPEAKER_23
transcript.pyannote[1781].start 12119.26784375
transcript.pyannote[1781].end 12120.61784375
transcript.pyannote[1782].speaker SPEAKER_31
transcript.pyannote[1782].start 12120.61784375
transcript.pyannote[1782].end 12120.68534375
transcript.pyannote[1783].speaker SPEAKER_23
transcript.pyannote[1783].start 12120.68534375
transcript.pyannote[1783].end 12120.73596875
transcript.pyannote[1784].speaker SPEAKER_31
transcript.pyannote[1784].start 12120.73596875
transcript.pyannote[1784].end 12131.62034375
transcript.pyannote[1785].speaker SPEAKER_23
transcript.pyannote[1785].start 12120.80346875
transcript.pyannote[1785].end 12121.20846875
transcript.pyannote[1786].speaker SPEAKER_31
transcript.pyannote[1786].start 12131.80596875
transcript.pyannote[1786].end 12143.68596875
transcript.pyannote[1787].speaker SPEAKER_31
transcript.pyannote[1787].start 12144.02346875
transcript.pyannote[1787].end 12150.03096875
transcript.pyannote[1788].speaker SPEAKER_31
transcript.pyannote[1788].start 12150.04784375
transcript.pyannote[1788].end 12154.21596875
transcript.pyannote[1789].speaker SPEAKER_31
transcript.pyannote[1789].start 12154.31721875
transcript.pyannote[1789].end 12157.62471875
transcript.pyannote[1790].speaker SPEAKER_31
transcript.pyannote[1790].start 12157.84409375
transcript.pyannote[1790].end 12160.10534375
transcript.pyannote[1791].speaker SPEAKER_31
transcript.pyannote[1791].start 12160.25721875
transcript.pyannote[1791].end 12161.35409375
transcript.pyannote[1792].speaker SPEAKER_31
transcript.pyannote[1792].start 12161.57346875
transcript.pyannote[1792].end 12162.61971875
transcript.pyannote[1793].speaker SPEAKER_31
transcript.pyannote[1793].start 12162.83909375
transcript.pyannote[1793].end 12174.33096875
transcript.pyannote[1794].speaker SPEAKER_31
transcript.pyannote[1794].start 12174.56721875
transcript.pyannote[1794].end 12177.19971875
transcript.pyannote[1795].speaker SPEAKER_31
transcript.pyannote[1795].start 12177.53721875
transcript.pyannote[1795].end 12181.11471875
transcript.pyannote[1796].speaker SPEAKER_31
transcript.pyannote[1796].start 12181.40159375
transcript.pyannote[1796].end 12183.98346875
transcript.pyannote[1797].speaker SPEAKER_31
transcript.pyannote[1797].start 12184.25346875
transcript.pyannote[1797].end 12186.90284375
transcript.pyannote[1798].speaker SPEAKER_31
transcript.pyannote[1798].start 12187.07159375
transcript.pyannote[1798].end 12188.59034375
transcript.pyannote[1799].speaker SPEAKER_31
transcript.pyannote[1799].start 12188.97846875
transcript.pyannote[1799].end 12191.83034375
transcript.pyannote[1800].speaker SPEAKER_31
transcript.pyannote[1800].start 12192.10034375
transcript.pyannote[1800].end 12197.87159375
transcript.pyannote[1801].speaker SPEAKER_31
transcript.pyannote[1801].start 12198.31034375
transcript.pyannote[1801].end 12199.57596875
transcript.pyannote[1802].speaker SPEAKER_31
transcript.pyannote[1802].start 12200.14971875
transcript.pyannote[1802].end 12203.03534375
transcript.pyannote[1803].speaker SPEAKER_23
transcript.pyannote[1803].start 12203.62596875
transcript.pyannote[1803].end 12206.30909375
transcript.pyannote[1804].speaker SPEAKER_31
transcript.pyannote[1804].start 12205.65096875
transcript.pyannote[1804].end 12208.03034375
transcript.pyannote[1805].speaker SPEAKER_31
transcript.pyannote[1805].start 12208.43534375
transcript.pyannote[1805].end 12218.62784375
transcript.pyannote[1806].speaker SPEAKER_31
transcript.pyannote[1806].start 12218.94846875
transcript.pyannote[1806].end 12221.69909375
transcript.pyannote[1807].speaker SPEAKER_31
transcript.pyannote[1807].start 12222.25596875
transcript.pyannote[1807].end 12225.09096875
transcript.pyannote[1808].speaker SPEAKER_31
transcript.pyannote[1808].start 12225.31034375
transcript.pyannote[1808].end 12230.08596875
transcript.pyannote[1809].speaker SPEAKER_31
transcript.pyannote[1809].start 12230.35596875
transcript.pyannote[1809].end 12232.16159375
transcript.pyannote[1810].speaker SPEAKER_31
transcript.pyannote[1810].start 12232.27971875
transcript.pyannote[1810].end 12234.86159375
transcript.pyannote[1811].speaker SPEAKER_31
transcript.pyannote[1811].start 12235.13159375
transcript.pyannote[1811].end 12240.07596875
transcript.pyannote[1812].speaker SPEAKER_31
transcript.pyannote[1812].start 12240.44721875
transcript.pyannote[1812].end 12246.21846875
transcript.pyannote[1813].speaker SPEAKER_31
transcript.pyannote[1813].start 12246.52221875
transcript.pyannote[1813].end 12247.99034375
transcript.pyannote[1814].speaker SPEAKER_31
transcript.pyannote[1814].start 12248.12534375
transcript.pyannote[1814].end 12249.47534375
transcript.pyannote[1815].speaker SPEAKER_31
transcript.pyannote[1815].start 12249.67784375
transcript.pyannote[1815].end 12256.44471875
transcript.pyannote[1816].speaker SPEAKER_31
transcript.pyannote[1816].start 12256.78221875
transcript.pyannote[1816].end 12257.59221875
transcript.pyannote[1817].speaker SPEAKER_31
transcript.pyannote[1817].start 12257.81159375
transcript.pyannote[1817].end 12261.28784375
transcript.pyannote[1818].speaker SPEAKER_31
transcript.pyannote[1818].start 12261.91221875
transcript.pyannote[1818].end 12265.81034375
transcript.pyannote[1819].speaker SPEAKER_31
transcript.pyannote[1819].start 12266.16471875
transcript.pyannote[1819].end 12270.19784375
transcript.pyannote[1820].speaker SPEAKER_31
transcript.pyannote[1820].start 12270.83909375
transcript.pyannote[1820].end 12290.09346875
transcript.pyannote[1821].speaker SPEAKER_31
transcript.pyannote[1821].start 12290.34659375
transcript.pyannote[1821].end 12301.56846875
transcript.pyannote[1822].speaker SPEAKER_31
transcript.pyannote[1822].start 12302.20971875
transcript.pyannote[1822].end 12305.33159375
transcript.pyannote[1823].speaker SPEAKER_31
transcript.pyannote[1823].start 12305.44971875
transcript.pyannote[1823].end 12307.66034375
transcript.pyannote[1824].speaker SPEAKER_31
transcript.pyannote[1824].start 12307.98096875
transcript.pyannote[1824].end 12309.02721875
transcript.pyannote[1825].speaker SPEAKER_31
transcript.pyannote[1825].start 12309.41534375
transcript.pyannote[1825].end 12312.97596875
transcript.pyannote[1826].speaker SPEAKER_31
transcript.pyannote[1826].start 12313.26284375
transcript.pyannote[1826].end 12320.23221875
transcript.pyannote[1827].speaker SPEAKER_23
transcript.pyannote[1827].start 12319.65846875
transcript.pyannote[1827].end 12333.81659375
transcript.pyannote[1828].speaker SPEAKER_31
transcript.pyannote[1828].start 12327.15096875
transcript.pyannote[1828].end 12327.55596875
transcript.pyannote[1829].speaker SPEAKER_31
transcript.pyannote[1829].start 12333.81659375
transcript.pyannote[1829].end 12333.90096875
transcript.pyannote[1830].speaker SPEAKER_23
transcript.pyannote[1830].start 12333.90096875
transcript.pyannote[1830].end 12334.03596875
transcript.pyannote[1831].speaker SPEAKER_31
transcript.pyannote[1831].start 12334.08659375
transcript.pyannote[1831].end 12343.63784375
transcript.pyannote[1832].speaker SPEAKER_03
transcript.pyannote[1832].start 12346.48971875
transcript.pyannote[1832].end 12350.26971875
transcript.pyannote[1833].speaker SPEAKER_03
transcript.pyannote[1833].start 12350.52284375
transcript.pyannote[1833].end 12351.40034375
transcript.pyannote[1834].speaker SPEAKER_03
transcript.pyannote[1834].start 12351.56909375
transcript.pyannote[1834].end 12353.45909375
transcript.pyannote[1835].speaker SPEAKER_03
transcript.pyannote[1835].start 12354.11721875
transcript.pyannote[1835].end 12365.30534375
transcript.pyannote[1836].speaker SPEAKER_03
transcript.pyannote[1836].start 12365.67659375
transcript.pyannote[1836].end 12366.18284375
transcript.pyannote[1837].speaker SPEAKER_03
transcript.pyannote[1837].start 21612.01221875
transcript.pyannote[1837].end 21616.78784375
transcript.pyannote[1838].speaker SPEAKER_03
transcript.pyannote[1838].start 21617.32784375
transcript.pyannote[1838].end 21619.99409375
transcript.pyannote[1839].speaker SPEAKER_03
transcript.pyannote[1839].start 21620.11221875
transcript.pyannote[1839].end 21620.65221875
transcript.pyannote[1840].speaker SPEAKER_20
transcript.pyannote[1840].start 21643.16346875
transcript.pyannote[1840].end 21648.10784375
transcript.pyannote[1841].speaker SPEAKER_03
transcript.pyannote[1841].start 21648.42846875
transcript.pyannote[1841].end 21651.26346875
transcript.pyannote[1842].speaker SPEAKER_03
transcript.pyannote[1842].start 21654.79034375
transcript.pyannote[1842].end 21655.41471875
transcript.pyannote[1843].speaker SPEAKER_30
transcript.pyannote[1843].start 21655.41471875
transcript.pyannote[1843].end 21655.46534375
transcript.pyannote[1844].speaker SPEAKER_20
transcript.pyannote[1844].start 21655.76909375
transcript.pyannote[1844].end 21656.51159375
transcript.pyannote[1845].speaker SPEAKER_20
transcript.pyannote[1845].start 21656.96721875
transcript.pyannote[1845].end 21662.04659375
transcript.pyannote[1846].speaker SPEAKER_30
transcript.pyannote[1846].start 21662.36721875
transcript.pyannote[1846].end 21664.57784375
transcript.pyannote[1847].speaker SPEAKER_20
transcript.pyannote[1847].start 21664.25721875
transcript.pyannote[1847].end 21704.50409375
transcript.pyannote[1848].speaker SPEAKER_30
transcript.pyannote[1848].start 21705.02721875
transcript.pyannote[1848].end 21735.73971875
transcript.pyannote[1849].speaker SPEAKER_01
transcript.pyannote[1849].start 21727.26846875
transcript.pyannote[1849].end 21727.65659375
transcript.pyannote[1850].speaker SPEAKER_20
transcript.pyannote[1850].start 21732.14534375
transcript.pyannote[1850].end 21732.31409375
transcript.pyannote[1851].speaker SPEAKER_20
transcript.pyannote[1851].start 21732.38159375
transcript.pyannote[1851].end 21732.39846875
transcript.pyannote[1852].speaker SPEAKER_20
transcript.pyannote[1852].start 21734.64284375
transcript.pyannote[1852].end 21784.33971875
transcript.pyannote[1853].speaker SPEAKER_23
transcript.pyannote[1853].start 21784.94721875
transcript.pyannote[1853].end 21788.77784375
transcript.pyannote[1854].speaker SPEAKER_23
transcript.pyannote[1854].start 21788.99721875
transcript.pyannote[1854].end 21806.39534375
transcript.pyannote[1855].speaker SPEAKER_01
transcript.pyannote[1855].start 21795.46034375
transcript.pyannote[1855].end 21795.98346875
transcript.pyannote[1856].speaker SPEAKER_01
transcript.pyannote[1856].start 21796.15221875
transcript.pyannote[1856].end 21796.38846875
transcript.pyannote[1857].speaker SPEAKER_20
transcript.pyannote[1857].start 21806.39534375
transcript.pyannote[1857].end 21813.88784375
transcript.pyannote[1858].speaker SPEAKER_23
transcript.pyannote[1858].start 21806.58096875
transcript.pyannote[1858].end 21807.54284375
transcript.pyannote[1859].speaker SPEAKER_23
transcript.pyannote[1859].start 21810.10784375
transcript.pyannote[1859].end 21811.23846875
transcript.pyannote[1860].speaker SPEAKER_20
transcript.pyannote[1860].start 21813.93846875
transcript.pyannote[1860].end 21813.95534375
transcript.pyannote[1861].speaker SPEAKER_23
transcript.pyannote[1861].start 21813.95534375
transcript.pyannote[1861].end 21815.81159375
transcript.pyannote[1862].speaker SPEAKER_20
transcript.pyannote[1862].start 21813.98909375
transcript.pyannote[1862].end 21814.22534375
transcript.pyannote[1863].speaker SPEAKER_20
transcript.pyannote[1863].start 21814.52909375
transcript.pyannote[1863].end 21819.97971875
transcript.pyannote[1864].speaker SPEAKER_23
transcript.pyannote[1864].start 21819.47346875
transcript.pyannote[1864].end 21824.14784375
transcript.pyannote[1865].speaker SPEAKER_20
transcript.pyannote[1865].start 21824.13096875
transcript.pyannote[1865].end 21875.43096875
transcript.pyannote[1866].speaker SPEAKER_30
transcript.pyannote[1866].start 21875.51534375
transcript.pyannote[1866].end 21891.02346875
transcript.pyannote[1867].speaker SPEAKER_30
transcript.pyannote[1867].start 21891.49596875
transcript.pyannote[1867].end 21897.13221875
transcript.pyannote[1868].speaker SPEAKER_20
transcript.pyannote[1868].start 21897.01409375
transcript.pyannote[1868].end 21899.71409375
transcript.pyannote[1869].speaker SPEAKER_30
transcript.pyannote[1869].start 21898.17846875
transcript.pyannote[1869].end 21898.43159375
transcript.pyannote[1870].speaker SPEAKER_30
transcript.pyannote[1870].start 21898.58346875
transcript.pyannote[1870].end 21899.76471875
transcript.pyannote[1871].speaker SPEAKER_30
transcript.pyannote[1871].start 21900.05159375
transcript.pyannote[1871].end 21926.12346875
transcript.pyannote[1872].speaker SPEAKER_20
transcript.pyannote[1872].start 21909.58596875
transcript.pyannote[1872].end 21911.02034375
transcript.pyannote[1873].speaker SPEAKER_20
transcript.pyannote[1873].start 21924.35159375
transcript.pyannote[1873].end 21929.26221875
transcript.pyannote[1874].speaker SPEAKER_30
transcript.pyannote[1874].start 21926.62971875
transcript.pyannote[1874].end 21927.01784375
transcript.pyannote[1875].speaker SPEAKER_30
transcript.pyannote[1875].start 21929.02596875
transcript.pyannote[1875].end 21952.51596875
transcript.pyannote[1876].speaker SPEAKER_20
transcript.pyannote[1876].start 21951.63846875
transcript.pyannote[1876].end 21955.51971875
transcript.pyannote[1877].speaker SPEAKER_30
transcript.pyannote[1877].start 21954.27096875
transcript.pyannote[1877].end 21967.11284375
transcript.pyannote[1878].speaker SPEAKER_20
transcript.pyannote[1878].start 21966.52221875
transcript.pyannote[1878].end 21976.37721875
transcript.pyannote[1879].speaker SPEAKER_30
transcript.pyannote[1879].start 21976.68096875
transcript.pyannote[1879].end 21980.61284375
transcript.pyannote[1880].speaker SPEAKER_30
transcript.pyannote[1880].start 21980.83221875
transcript.pyannote[1880].end 22012.03409375
transcript.pyannote[1881].speaker SPEAKER_20
transcript.pyannote[1881].start 22001.53784375
transcript.pyannote[1881].end 22001.89221875
transcript.pyannote[1882].speaker SPEAKER_20
transcript.pyannote[1882].start 22005.01409375
transcript.pyannote[1882].end 22009.72221875
transcript.pyannote[1883].speaker SPEAKER_20
transcript.pyannote[1883].start 22010.29596875
transcript.pyannote[1883].end 22021.95659375
transcript.pyannote[1884].speaker SPEAKER_30
transcript.pyannote[1884].start 22019.52659375
transcript.pyannote[1884].end 22020.84284375
transcript.pyannote[1885].speaker SPEAKER_30
transcript.pyannote[1885].start 22021.23096875
transcript.pyannote[1885].end 22023.10409375
transcript.pyannote[1886].speaker SPEAKER_20
transcript.pyannote[1886].start 22022.44596875
transcript.pyannote[1886].end 22026.20909375
transcript.pyannote[1887].speaker SPEAKER_30
transcript.pyannote[1887].start 22025.65221875
transcript.pyannote[1887].end 22041.93659375
transcript.pyannote[1888].speaker SPEAKER_20
transcript.pyannote[1888].start 22028.45346875
transcript.pyannote[1888].end 22029.46596875
transcript.pyannote[1889].speaker SPEAKER_20
transcript.pyannote[1889].start 22036.16534375
transcript.pyannote[1889].end 22037.17784375
transcript.pyannote[1890].speaker SPEAKER_20
transcript.pyannote[1890].start 22039.50659375
transcript.pyannote[1890].end 22040.08034375
transcript.pyannote[1891].speaker SPEAKER_20
transcript.pyannote[1891].start 22041.58221875
transcript.pyannote[1891].end 22048.01159375
transcript.pyannote[1892].speaker SPEAKER_20
transcript.pyannote[1892].start 22048.26471875
transcript.pyannote[1892].end 22049.22659375
transcript.pyannote[1893].speaker SPEAKER_16
transcript.pyannote[1893].start 22048.41659375
transcript.pyannote[1893].end 22049.37846875
transcript.pyannote[1894].speaker SPEAKER_20
transcript.pyannote[1894].start 22049.24346875
transcript.pyannote[1894].end 22063.60409375
transcript.pyannote[1895].speaker SPEAKER_16
transcript.pyannote[1895].start 22049.39534375
transcript.pyannote[1895].end 22049.64846875
transcript.pyannote[1896].speaker SPEAKER_30
transcript.pyannote[1896].start 22063.80659375
transcript.pyannote[1896].end 22080.04034375
transcript.pyannote[1897].speaker SPEAKER_15
transcript.pyannote[1897].start 22073.54346875
transcript.pyannote[1897].end 22074.03284375
transcript.pyannote[1898].speaker SPEAKER_20
transcript.pyannote[1898].start 22074.03284375
transcript.pyannote[1898].end 22075.29846875
transcript.pyannote[1899].speaker SPEAKER_20
transcript.pyannote[1899].start 22076.71596875
transcript.pyannote[1899].end 22077.67784375
transcript.pyannote[1900].speaker SPEAKER_20
transcript.pyannote[1900].start 22078.33596875
transcript.pyannote[1900].end 22082.21721875
transcript.pyannote[1901].speaker SPEAKER_20
transcript.pyannote[1901].start 22082.31846875
transcript.pyannote[1901].end 22087.12784375
transcript.pyannote[1902].speaker SPEAKER_03
transcript.pyannote[1902].start 22087.51596875
transcript.pyannote[1902].end 22089.08534375
transcript.pyannote[1903].speaker SPEAKER_20
transcript.pyannote[1903].start 22087.53284375
transcript.pyannote[1903].end 22087.83659375
transcript.pyannote[1904].speaker SPEAKER_20
transcript.pyannote[1904].start 22090.11471875
transcript.pyannote[1904].end 22092.03846875
transcript.pyannote[1905].speaker SPEAKER_03
transcript.pyannote[1905].start 22092.03846875
transcript.pyannote[1905].end 22092.56159375
transcript.pyannote[1906].speaker SPEAKER_20
transcript.pyannote[1906].start 22097.96159375
transcript.pyannote[1906].end 22101.42096875
transcript.pyannote[1907].speaker SPEAKER_03
transcript.pyannote[1907].start 22098.68721875
transcript.pyannote[1907].end 22098.70409375
transcript.pyannote[1908].speaker SPEAKER_01
transcript.pyannote[1908].start 22098.70409375
transcript.pyannote[1908].end 22099.44659375
transcript.pyannote[1909].speaker SPEAKER_01
transcript.pyannote[1909].start 22101.26909375
transcript.pyannote[1909].end 22101.60659375
transcript.pyannote[1910].speaker SPEAKER_20
transcript.pyannote[1910].start 22101.60659375
transcript.pyannote[1910].end 22108.76159375
transcript.pyannote[1911].speaker SPEAKER_11
transcript.pyannote[1911].start 22109.41971875
transcript.pyannote[1911].end 22115.49471875
transcript.pyannote[1912].speaker SPEAKER_20
transcript.pyannote[1912].start 22115.51159375
transcript.pyannote[1912].end 22125.83909375
transcript.pyannote[1913].speaker SPEAKER_11
transcript.pyannote[1913].start 22126.05846875
transcript.pyannote[1913].end 22134.17534375
transcript.pyannote[1914].speaker SPEAKER_20
transcript.pyannote[1914].start 22134.17534375
transcript.pyannote[1914].end 22153.22721875
transcript.pyannote[1915].speaker SPEAKER_11
transcript.pyannote[1915].start 22153.58159375
transcript.pyannote[1915].end 22159.11659375
transcript.pyannote[1916].speaker SPEAKER_20
transcript.pyannote[1916].start 22158.10409375
transcript.pyannote[1916].end 22169.46096875
transcript.pyannote[1917].speaker SPEAKER_11
transcript.pyannote[1917].start 22169.51159375
transcript.pyannote[1917].end 22174.62471875
transcript.pyannote[1918].speaker SPEAKER_20
transcript.pyannote[1918].start 22173.34221875
transcript.pyannote[1918].end 22176.09284375
transcript.pyannote[1919].speaker SPEAKER_11
transcript.pyannote[1919].start 22176.54846875
transcript.pyannote[1919].end 22178.60721875
transcript.pyannote[1920].speaker SPEAKER_20
transcript.pyannote[1920].start 22176.59909375
transcript.pyannote[1920].end 22177.39221875
transcript.pyannote[1921].speaker SPEAKER_20
transcript.pyannote[1921].start 22177.74659375
transcript.pyannote[1921].end 22191.29721875
transcript.pyannote[1922].speaker SPEAKER_11
transcript.pyannote[1922].start 22180.91909375
transcript.pyannote[1922].end 22181.96534375
transcript.pyannote[1923].speaker SPEAKER_11
transcript.pyannote[1923].start 22187.98971875
transcript.pyannote[1923].end 22188.91784375
transcript.pyannote[1924].speaker SPEAKER_11
transcript.pyannote[1924].start 22191.29721875
transcript.pyannote[1924].end 22195.38096875
transcript.pyannote[1925].speaker SPEAKER_20
transcript.pyannote[1925].start 22191.65159375
transcript.pyannote[1925].end 22192.15784375
transcript.pyannote[1926].speaker SPEAKER_20
transcript.pyannote[1926].start 22194.11534375
transcript.pyannote[1926].end 22195.44846875
transcript.pyannote[1927].speaker SPEAKER_20
transcript.pyannote[1927].start 22195.75221875
transcript.pyannote[1927].end 22203.26159375
transcript.pyannote[1928].speaker SPEAKER_20
transcript.pyannote[1928].start 22203.32909375
transcript.pyannote[1928].end 22209.03284375
transcript.pyannote[1929].speaker SPEAKER_11
transcript.pyannote[1929].start 22209.65721875
transcript.pyannote[1929].end 22221.85784375
transcript.pyannote[1930].speaker SPEAKER_20
transcript.pyannote[1930].start 22219.84971875
transcript.pyannote[1930].end 22221.57096875
transcript.pyannote[1931].speaker SPEAKER_20
transcript.pyannote[1931].start 22221.60471875
transcript.pyannote[1931].end 22221.65534375
transcript.pyannote[1932].speaker SPEAKER_20
transcript.pyannote[1932].start 22221.70596875
transcript.pyannote[1932].end 22237.43346875
transcript.pyannote[1933].speaker SPEAKER_30
transcript.pyannote[1933].start 22237.43346875
transcript.pyannote[1933].end 22238.95221875
transcript.pyannote[1934].speaker SPEAKER_30
transcript.pyannote[1934].start 22239.61034375
transcript.pyannote[1934].end 22244.52096875
transcript.pyannote[1935].speaker SPEAKER_20
transcript.pyannote[1935].start 22243.76159375
transcript.pyannote[1935].end 22245.31409375
transcript.pyannote[1936].speaker SPEAKER_30
transcript.pyannote[1936].start 22245.31409375
transcript.pyannote[1936].end 22247.11971875
transcript.pyannote[1937].speaker SPEAKER_20
transcript.pyannote[1937].start 22245.98909375
transcript.pyannote[1937].end 22253.26221875
transcript.pyannote[1938].speaker SPEAKER_30
transcript.pyannote[1938].start 22253.63346875
transcript.pyannote[1938].end 22256.83971875
transcript.pyannote[1939].speaker SPEAKER_20
transcript.pyannote[1939].start 22256.62034375
transcript.pyannote[1939].end 22269.46221875
transcript.pyannote[1940].speaker SPEAKER_30
transcript.pyannote[1940].start 22258.22346875
transcript.pyannote[1940].end 22258.67909375
transcript.pyannote[1941].speaker SPEAKER_11
transcript.pyannote[1941].start 22269.95159375
transcript.pyannote[1941].end 22270.25534375
transcript.pyannote[1942].speaker SPEAKER_30
transcript.pyannote[1942].start 22270.25534375
transcript.pyannote[1942].end 22270.64346875
transcript.pyannote[1943].speaker SPEAKER_11
transcript.pyannote[1943].start 22270.64346875
transcript.pyannote[1943].end 22278.03471875
transcript.pyannote[1944].speaker SPEAKER_20
transcript.pyannote[1944].start 22276.39784375
transcript.pyannote[1944].end 22282.47284375
transcript.pyannote[1945].speaker SPEAKER_11
transcript.pyannote[1945].start 22282.79346875
transcript.pyannote[1945].end 22286.40471875
transcript.pyannote[1946].speaker SPEAKER_20
transcript.pyannote[1946].start 22284.86909375
transcript.pyannote[1946].end 22288.32846875
transcript.pyannote[1947].speaker SPEAKER_20
transcript.pyannote[1947].start 22288.46346875
transcript.pyannote[1947].end 22302.13221875
transcript.pyannote[1948].speaker SPEAKER_20
transcript.pyannote[1948].start 22302.60471875
transcript.pyannote[1948].end 22311.70034375
transcript.pyannote[1949].speaker SPEAKER_20
transcript.pyannote[1949].start 22311.95346875
transcript.pyannote[1949].end 22317.31971875
transcript.pyannote[1950].speaker SPEAKER_20
transcript.pyannote[1950].start 22318.14659375
transcript.pyannote[1950].end 22326.02721875
transcript.pyannote[1951].speaker SPEAKER_20
transcript.pyannote[1951].start 22326.76971875
transcript.pyannote[1951].end 22337.58659375
transcript.pyannote[1952].speaker SPEAKER_20
transcript.pyannote[1952].start 22338.44721875
transcript.pyannote[1952].end 22338.61596875
transcript.pyannote[1953].speaker SPEAKER_20
transcript.pyannote[1953].start 22339.15596875
transcript.pyannote[1953].end 22340.50596875
transcript.pyannote[1954].speaker SPEAKER_20
transcript.pyannote[1954].start 22341.40034375
transcript.pyannote[1954].end 22343.07096875
transcript.pyannote[1955].speaker SPEAKER_01
transcript.pyannote[1955].start 22343.72909375
transcript.pyannote[1955].end 22345.55159375
transcript.pyannote[1956].speaker SPEAKER_20
transcript.pyannote[1956].start 22343.79659375
transcript.pyannote[1956].end 22360.53659375
transcript.pyannote[1957].speaker SPEAKER_01
transcript.pyannote[1957].start 22345.70346875
transcript.pyannote[1957].end 22346.34471875
transcript.pyannote[1958].speaker SPEAKER_30
transcript.pyannote[1958].start 22360.53659375
transcript.pyannote[1958].end 22364.06346875
transcript.pyannote[1959].speaker SPEAKER_30
transcript.pyannote[1959].start 22364.72159375
transcript.pyannote[1959].end 22372.73721875
transcript.pyannote[1960].speaker SPEAKER_20
transcript.pyannote[1960].start 22372.45034375
transcript.pyannote[1960].end 22376.92221875
transcript.pyannote[1961].speaker SPEAKER_30
transcript.pyannote[1961].start 22374.52596875
transcript.pyannote[1961].end 22375.09971875
transcript.pyannote[1962].speaker SPEAKER_20
transcript.pyannote[1962].start 22377.15846875
transcript.pyannote[1962].end 22395.18096875
transcript.pyannote[1963].speaker SPEAKER_30
transcript.pyannote[1963].start 22378.39034375
transcript.pyannote[1963].end 22378.93034375
transcript.pyannote[1964].speaker SPEAKER_18
transcript.pyannote[1964].start 22382.18721875
transcript.pyannote[1964].end 22382.55846875
transcript.pyannote[1965].speaker SPEAKER_18
transcript.pyannote[1965].start 22386.76034375
transcript.pyannote[1965].end 22387.13159375
transcript.pyannote[1966].speaker SPEAKER_30
transcript.pyannote[1966].start 22395.34971875
transcript.pyannote[1966].end 22405.20471875
transcript.pyannote[1967].speaker SPEAKER_20
transcript.pyannote[1967].start 22404.44534375
transcript.pyannote[1967].end 22406.57159375
transcript.pyannote[1968].speaker SPEAKER_30
transcript.pyannote[1968].start 22407.16221875
transcript.pyannote[1968].end 22412.07284375
transcript.pyannote[1969].speaker SPEAKER_20
transcript.pyannote[1969].start 22410.75659375
transcript.pyannote[1969].end 22412.74784375
transcript.pyannote[1970].speaker SPEAKER_30
transcript.pyannote[1970].start 22412.68034375
transcript.pyannote[1970].end 22413.08534375
transcript.pyannote[1971].speaker SPEAKER_30
transcript.pyannote[1971].start 22413.50721875
transcript.pyannote[1971].end 22417.03409375
transcript.pyannote[1972].speaker SPEAKER_20
transcript.pyannote[1972].start 22415.27909375
transcript.pyannote[1972].end 22416.96659375
transcript.pyannote[1973].speaker SPEAKER_29
transcript.pyannote[1973].start 22417.03409375
transcript.pyannote[1973].end 22418.83971875
transcript.pyannote[1974].speaker SPEAKER_30
transcript.pyannote[1974].start 22417.10159375
transcript.pyannote[1974].end 22417.15221875
transcript.pyannote[1975].speaker SPEAKER_20
transcript.pyannote[1975].start 22417.74284375
transcript.pyannote[1975].end 22429.72409375
transcript.pyannote[1976].speaker SPEAKER_11
transcript.pyannote[1976].start 22429.96034375
transcript.pyannote[1976].end 22435.32659375
transcript.pyannote[1977].speaker SPEAKER_20
transcript.pyannote[1977].start 22434.76971875
transcript.pyannote[1977].end 22436.72721875
transcript.pyannote[1978].speaker SPEAKER_11
transcript.pyannote[1978].start 22435.91721875
transcript.pyannote[1978].end 22436.86221875
transcript.pyannote[1979].speaker SPEAKER_20
transcript.pyannote[1979].start 22437.04784375
transcript.pyannote[1979].end 22449.80534375
transcript.pyannote[1980].speaker SPEAKER_11
transcript.pyannote[1980].start 22440.67596875
transcript.pyannote[1980].end 22441.43534375
transcript.pyannote[1981].speaker SPEAKER_01
transcript.pyannote[1981].start 22441.43534375
transcript.pyannote[1981].end 22441.50284375
transcript.pyannote[1982].speaker SPEAKER_11
transcript.pyannote[1982].start 22441.50284375
transcript.pyannote[1982].end 22441.97534375
transcript.pyannote[1983].speaker SPEAKER_01
transcript.pyannote[1983].start 22441.97534375
transcript.pyannote[1983].end 22442.16096875
transcript.pyannote[1984].speaker SPEAKER_20
transcript.pyannote[1984].start 22450.24409375
transcript.pyannote[1984].end 22481.47971875
transcript.pyannote[1985].speaker SPEAKER_29
transcript.pyannote[1985].start 22458.14159375
transcript.pyannote[1985].end 22459.30596875
transcript.pyannote[1986].speaker SPEAKER_11
transcript.pyannote[1986].start 22474.42596875
transcript.pyannote[1986].end 22474.78034375
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 22481.58096875
transcript.pyannote[1987].end 22491.75659375
transcript.pyannote[1988].speaker SPEAKER_20
transcript.pyannote[1988].start 22491.79034375
transcript.pyannote[1988].end 22494.05159375
transcript.pyannote[1989].speaker SPEAKER_20
transcript.pyannote[1989].start 22494.13596875
transcript.pyannote[1989].end 22514.52096875
transcript.pyannote[1990].speaker SPEAKER_30
transcript.pyannote[1990].start 22514.60534375
transcript.pyannote[1990].end 22531.51409375
transcript.pyannote[1991].speaker SPEAKER_20
transcript.pyannote[1991].start 22530.41721875
transcript.pyannote[1991].end 22530.80534375
transcript.pyannote[1992].speaker SPEAKER_20
transcript.pyannote[1992].start 22531.41284375
transcript.pyannote[1992].end 22540.12034375
transcript.pyannote[1993].speaker SPEAKER_11
transcript.pyannote[1993].start 22540.57596875
transcript.pyannote[1993].end 22544.11971875
transcript.pyannote[1994].speaker SPEAKER_29
transcript.pyannote[1994].start 22542.44909375
transcript.pyannote[1994].end 22542.70221875
transcript.pyannote[1995].speaker SPEAKER_20
transcript.pyannote[1995].start 22543.19159375
transcript.pyannote[1995].end 22555.13909375
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 22549.46909375
transcript.pyannote[1996].end 22550.56596875
transcript.pyannote[1997].speaker SPEAKER_11
transcript.pyannote[1997].start 22552.87784375
transcript.pyannote[1997].end 22554.63284375
transcript.pyannote[1998].speaker SPEAKER_11
transcript.pyannote[1998].start 22555.25721875
transcript.pyannote[1998].end 22564.21784375
transcript.pyannote[1999].speaker SPEAKER_20
transcript.pyannote[1999].start 22558.81784375
transcript.pyannote[1999].end 22560.77534375
transcript.pyannote[2000].speaker SPEAKER_17
transcript.pyannote[2000].start 22560.77534375
transcript.pyannote[2000].end 22561.82159375
transcript.pyannote[2001].speaker SPEAKER_29
transcript.pyannote[2001].start 22561.82159375
transcript.pyannote[2001].end 22561.99034375
transcript.pyannote[2002].speaker SPEAKER_03
transcript.pyannote[2002].start 22571.13659375
transcript.pyannote[2002].end 22574.03909375
transcript.pyannote[2003].speaker SPEAKER_03
transcript.pyannote[2003].start 22574.56221875
transcript.pyannote[2003].end 22577.19471875
transcript.pyannote[2004].speaker SPEAKER_03
transcript.pyannote[2004].start 22577.36346875
transcript.pyannote[2004].end 22579.25346875
transcript.pyannote[2005].speaker SPEAKER_01
transcript.pyannote[2005].start 22591.58909375
transcript.pyannote[2005].end 22592.31471875
transcript.pyannote[2006].speaker SPEAKER_03
transcript.pyannote[2006].start 22592.21346875
transcript.pyannote[2006].end 22593.00659375
transcript.pyannote[2007].speaker SPEAKER_03
transcript.pyannote[2007].start 22605.19034375
transcript.pyannote[2007].end 22606.48971875
transcript.pyannote[2008].speaker SPEAKER_03
transcript.pyannote[2008].start 22607.01284375
transcript.pyannote[2008].end 22607.58659375
transcript.pyannote[2009].speaker SPEAKER_03
transcript.pyannote[2009].start 22608.36284375
transcript.pyannote[2009].end 22610.86034375
transcript.pyannote[2010].speaker SPEAKER_30
transcript.pyannote[2010].start 22614.82596875
transcript.pyannote[2010].end 22617.03659375
transcript.pyannote[2011].speaker SPEAKER_28
transcript.pyannote[2011].start 22618.33596875
transcript.pyannote[2011].end 22619.95596875
transcript.pyannote[2012].speaker SPEAKER_28
transcript.pyannote[2012].start 22621.01909375
transcript.pyannote[2012].end 22622.87534375
transcript.pyannote[2013].speaker SPEAKER_28
transcript.pyannote[2013].start 22623.65159375
transcript.pyannote[2013].end 22624.63034375
transcript.pyannote[2014].speaker SPEAKER_28
transcript.pyannote[2014].start 22625.37284375
transcript.pyannote[2014].end 22626.57096875
transcript.pyannote[2015].speaker SPEAKER_28
transcript.pyannote[2015].start 22626.94221875
transcript.pyannote[2015].end 22628.00534375
transcript.pyannote[2016].speaker SPEAKER_28
transcript.pyannote[2016].start 22628.42721875
transcript.pyannote[2016].end 22630.72221875
transcript.pyannote[2017].speaker SPEAKER_28
transcript.pyannote[2017].start 22630.80659375
transcript.pyannote[2017].end 22631.09346875
transcript.pyannote[2018].speaker SPEAKER_30
transcript.pyannote[2018].start 22631.09346875
transcript.pyannote[2018].end 22631.39721875
transcript.pyannote[2019].speaker SPEAKER_28
transcript.pyannote[2019].start 22631.39721875
transcript.pyannote[2019].end 22632.88221875
transcript.pyannote[2020].speaker SPEAKER_30
transcript.pyannote[2020].start 22631.43096875
transcript.pyannote[2020].end 22631.46471875
transcript.pyannote[2021].speaker SPEAKER_28
transcript.pyannote[2021].start 22633.52346875
transcript.pyannote[2021].end 22634.60346875
transcript.pyannote[2022].speaker SPEAKER_28
transcript.pyannote[2022].start 22635.04221875
transcript.pyannote[2022].end 22635.97034375
transcript.pyannote[2023].speaker SPEAKER_28
transcript.pyannote[2023].start 22636.76346875
transcript.pyannote[2023].end 22637.91096875
transcript.pyannote[2024].speaker SPEAKER_28
transcript.pyannote[2024].start 22638.23159375
transcript.pyannote[2024].end 22639.04159375
transcript.pyannote[2025].speaker SPEAKER_28
transcript.pyannote[2025].start 22639.95284375
transcript.pyannote[2025].end 22644.99846875
transcript.pyannote[2026].speaker SPEAKER_01
transcript.pyannote[2026].start 22641.67409375
transcript.pyannote[2026].end 22642.06221875
transcript.pyannote[2027].speaker SPEAKER_28
transcript.pyannote[2027].start 22645.30221875
transcript.pyannote[2027].end 22646.12909375
transcript.pyannote[2028].speaker SPEAKER_28
transcript.pyannote[2028].start 22646.85471875
transcript.pyannote[2028].end 22648.30596875
transcript.pyannote[2029].speaker SPEAKER_28
transcript.pyannote[2029].start 22648.84596875
transcript.pyannote[2029].end 22649.72346875
transcript.pyannote[2030].speaker SPEAKER_28
transcript.pyannote[2030].start 22650.07784375
transcript.pyannote[2030].end 22651.02284375
transcript.pyannote[2031].speaker SPEAKER_28
transcript.pyannote[2031].start 22651.39409375
transcript.pyannote[2031].end 22653.18284375
transcript.pyannote[2032].speaker SPEAKER_28
transcript.pyannote[2032].start 22653.58784375
transcript.pyannote[2032].end 22654.85346875
transcript.pyannote[2033].speaker SPEAKER_28
transcript.pyannote[2033].start 22655.10659375
transcript.pyannote[2033].end 22656.77721875
transcript.pyannote[2034].speaker SPEAKER_28
transcript.pyannote[2034].start 22657.35096875
transcript.pyannote[2034].end 22659.24096875
transcript.pyannote[2035].speaker SPEAKER_28
transcript.pyannote[2035].start 22659.35909375
transcript.pyannote[2035].end 22659.91596875
transcript.pyannote[2036].speaker SPEAKER_30
transcript.pyannote[2036].start 22660.50659375
transcript.pyannote[2036].end 22660.92846875
transcript.pyannote[2037].speaker SPEAKER_28
transcript.pyannote[2037].start 22661.45159375
transcript.pyannote[2037].end 22662.39659375
transcript.pyannote[2038].speaker SPEAKER_28
transcript.pyannote[2038].start 22662.71721875
transcript.pyannote[2038].end 22664.86034375
transcript.pyannote[2039].speaker SPEAKER_28
transcript.pyannote[2039].start 22665.41721875
transcript.pyannote[2039].end 22666.80096875
transcript.pyannote[2040].speaker SPEAKER_28
transcript.pyannote[2040].start 22667.35784375
transcript.pyannote[2040].end 22669.36596875
transcript.pyannote[2041].speaker SPEAKER_28
transcript.pyannote[2041].start 22669.43346875
transcript.pyannote[2041].end 22669.45034375
transcript.pyannote[2042].speaker SPEAKER_30
transcript.pyannote[2042].start 22669.45034375
transcript.pyannote[2042].end 22669.93971875
transcript.pyannote[2043].speaker SPEAKER_28
transcript.pyannote[2043].start 22670.14221875
transcript.pyannote[2043].end 22672.82534375
transcript.pyannote[2044].speaker SPEAKER_28
transcript.pyannote[2044].start 22673.26409375
transcript.pyannote[2044].end 22677.46596875
transcript.pyannote[2045].speaker SPEAKER_28
transcript.pyannote[2045].start 22678.47846875
transcript.pyannote[2045].end 22679.55846875
transcript.pyannote[2046].speaker SPEAKER_28
transcript.pyannote[2046].start 22680.41909375
transcript.pyannote[2046].end 22682.05596875
transcript.pyannote[2047].speaker SPEAKER_28
transcript.pyannote[2047].start 22682.83221875
transcript.pyannote[2047].end 22684.73909375
transcript.pyannote[2048].speaker SPEAKER_28
transcript.pyannote[2048].start 22685.00909375
transcript.pyannote[2048].end 22685.90346875
transcript.pyannote[2049].speaker SPEAKER_28
transcript.pyannote[2049].start 22686.96659375
transcript.pyannote[2049].end 22689.34596875
transcript.pyannote[2050].speaker SPEAKER_28
transcript.pyannote[2050].start 22689.83534375
transcript.pyannote[2050].end 22693.59846875
transcript.pyannote[2051].speaker SPEAKER_30
transcript.pyannote[2051].start 22693.76721875
transcript.pyannote[2051].end 22694.99909375
transcript.pyannote[2052].speaker SPEAKER_28
transcript.pyannote[2052].start 22695.64034375
transcript.pyannote[2052].end 22696.66971875
transcript.pyannote[2053].speaker SPEAKER_28
transcript.pyannote[2053].start 22696.83846875
transcript.pyannote[2053].end 22697.56409375
transcript.pyannote[2054].speaker SPEAKER_28
transcript.pyannote[2054].start 22697.95221875
transcript.pyannote[2054].end 22698.66096875
transcript.pyannote[2055].speaker SPEAKER_28
transcript.pyannote[2055].start 22699.01534375
transcript.pyannote[2055].end 22704.24659375
transcript.pyannote[2056].speaker SPEAKER_28
transcript.pyannote[2056].start 22704.71909375
transcript.pyannote[2056].end 22706.30534375
transcript.pyannote[2057].speaker SPEAKER_28
transcript.pyannote[2057].start 22706.38971875
transcript.pyannote[2057].end 22709.62971875
transcript.pyannote[2058].speaker SPEAKER_28
transcript.pyannote[2058].start 22710.16971875
transcript.pyannote[2058].end 22712.00909375
transcript.pyannote[2059].speaker SPEAKER_28
transcript.pyannote[2059].start 22712.73471875
transcript.pyannote[2059].end 22717.72971875
transcript.pyannote[2060].speaker SPEAKER_28
transcript.pyannote[2060].start 22718.69159375
transcript.pyannote[2060].end 22724.86784375
transcript.pyannote[2061].speaker SPEAKER_28
transcript.pyannote[2061].start 22725.13784375
transcript.pyannote[2061].end 22726.79159375
transcript.pyannote[2062].speaker SPEAKER_28
transcript.pyannote[2062].start 22727.11221875
transcript.pyannote[2062].end 22728.22596875
transcript.pyannote[2063].speaker SPEAKER_28
transcript.pyannote[2063].start 22728.71534375
transcript.pyannote[2063].end 22731.02721875
transcript.pyannote[2064].speaker SPEAKER_28
transcript.pyannote[2064].start 22731.07784375
transcript.pyannote[2064].end 22732.95096875
transcript.pyannote[2065].speaker SPEAKER_28
transcript.pyannote[2065].start 22733.60909375
transcript.pyannote[2065].end 22737.08534375
transcript.pyannote[2066].speaker SPEAKER_28
transcript.pyannote[2066].start 22737.50721875
transcript.pyannote[2066].end 22740.66284375
transcript.pyannote[2067].speaker SPEAKER_28
transcript.pyannote[2067].start 22740.94971875
transcript.pyannote[2067].end 22744.81409375
transcript.pyannote[2068].speaker SPEAKER_28
transcript.pyannote[2068].start 22745.08409375
transcript.pyannote[2068].end 22749.03284375
transcript.pyannote[2069].speaker SPEAKER_28
transcript.pyannote[2069].start 22749.52221875
transcript.pyannote[2069].end 22751.69909375
transcript.pyannote[2070].speaker SPEAKER_28
transcript.pyannote[2070].start 22752.13784375
transcript.pyannote[2070].end 22755.04034375
transcript.pyannote[2071].speaker SPEAKER_28
transcript.pyannote[2071].start 22755.36096875
transcript.pyannote[2071].end 22757.43659375
transcript.pyannote[2072].speaker SPEAKER_28
transcript.pyannote[2072].start 22758.17909375
transcript.pyannote[2072].end 22758.85409375
transcript.pyannote[2073].speaker SPEAKER_28
transcript.pyannote[2073].start 22759.41096875
transcript.pyannote[2073].end 22761.14909375
transcript.pyannote[2074].speaker SPEAKER_28
transcript.pyannote[2074].start 22761.48659375
transcript.pyannote[2074].end 22762.81971875
transcript.pyannote[2075].speaker SPEAKER_28
transcript.pyannote[2075].start 22763.47784375
transcript.pyannote[2075].end 22764.01784375
transcript.pyannote[2076].speaker SPEAKER_28
transcript.pyannote[2076].start 22764.42284375
transcript.pyannote[2076].end 22766.09346875
transcript.pyannote[2077].speaker SPEAKER_28
transcript.pyannote[2077].start 22766.93721875
transcript.pyannote[2077].end 22768.50659375
transcript.pyannote[2078].speaker SPEAKER_28
transcript.pyannote[2078].start 22768.96221875
transcript.pyannote[2078].end 22769.78909375
transcript.pyannote[2079].speaker SPEAKER_28
transcript.pyannote[2079].start 22770.04221875
transcript.pyannote[2079].end 22772.13471875
transcript.pyannote[2080].speaker SPEAKER_28
transcript.pyannote[2080].start 22772.35409375
transcript.pyannote[2080].end 22774.69971875
transcript.pyannote[2081].speaker SPEAKER_01
transcript.pyannote[2081].start 22774.83471875
transcript.pyannote[2081].end 22775.07096875
transcript.pyannote[2082].speaker SPEAKER_28
transcript.pyannote[2082].start 22775.07096875
transcript.pyannote[2082].end 22777.23096875
transcript.pyannote[2083].speaker SPEAKER_28
transcript.pyannote[2083].start 22777.36596875
transcript.pyannote[2083].end 22779.25596875
transcript.pyannote[2084].speaker SPEAKER_28
transcript.pyannote[2084].start 22779.37409375
transcript.pyannote[2084].end 22782.07409375
transcript.pyannote[2085].speaker SPEAKER_28
transcript.pyannote[2085].start 22782.41159375
transcript.pyannote[2085].end 22783.10346875
transcript.pyannote[2086].speaker SPEAKER_28
transcript.pyannote[2086].start 22783.74471875
transcript.pyannote[2086].end 22784.23409375
transcript.pyannote[2087].speaker SPEAKER_28
transcript.pyannote[2087].start 22784.55471875
transcript.pyannote[2087].end 22787.67659375
transcript.pyannote[2088].speaker SPEAKER_28
transcript.pyannote[2088].start 22788.48659375
transcript.pyannote[2088].end 22792.48596875
transcript.pyannote[2089].speaker SPEAKER_28
transcript.pyannote[2089].start 22793.27909375
transcript.pyannote[2089].end 22794.22409375
transcript.pyannote[2090].speaker SPEAKER_28
transcript.pyannote[2090].start 22794.37596875
transcript.pyannote[2090].end 22795.50659375
transcript.pyannote[2091].speaker SPEAKER_28
transcript.pyannote[2091].start 22795.82721875
transcript.pyannote[2091].end 22797.97034375
transcript.pyannote[2092].speaker SPEAKER_28
transcript.pyannote[2092].start 22798.03784375
transcript.pyannote[2092].end 22799.53971875
transcript.pyannote[2093].speaker SPEAKER_28
transcript.pyannote[2093].start 22800.02909375
transcript.pyannote[2093].end 22807.13346875
transcript.pyannote[2094].speaker SPEAKER_28
transcript.pyannote[2094].start 22808.06159375
transcript.pyannote[2094].end 22809.73221875
transcript.pyannote[2095].speaker SPEAKER_28
transcript.pyannote[2095].start 22810.05284375
transcript.pyannote[2095].end 22811.90909375
transcript.pyannote[2096].speaker SPEAKER_28
transcript.pyannote[2096].start 22812.24659375
transcript.pyannote[2096].end 22813.52909375
transcript.pyannote[2097].speaker SPEAKER_28
transcript.pyannote[2097].start 22813.96784375
transcript.pyannote[2097].end 22814.81159375
transcript.pyannote[2098].speaker SPEAKER_28
transcript.pyannote[2098].start 22815.30096875
transcript.pyannote[2098].end 22817.76471875
transcript.pyannote[2099].speaker SPEAKER_28
transcript.pyannote[2099].start 22818.15284375
transcript.pyannote[2099].end 22824.04221875
transcript.pyannote[2100].speaker SPEAKER_28
transcript.pyannote[2100].start 22824.51471875
transcript.pyannote[2100].end 22826.69159375
transcript.pyannote[2101].speaker SPEAKER_28
transcript.pyannote[2101].start 22827.01221875
transcript.pyannote[2101].end 22832.66534375
transcript.pyannote[2102].speaker SPEAKER_28
transcript.pyannote[2102].start 22832.88471875
transcript.pyannote[2102].end 22834.42034375
transcript.pyannote[2103].speaker SPEAKER_28
transcript.pyannote[2103].start 22834.74096875
transcript.pyannote[2103].end 22837.39034375
transcript.pyannote[2104].speaker SPEAKER_28
transcript.pyannote[2104].start 22837.86284375
transcript.pyannote[2104].end 22845.86159375
transcript.pyannote[2105].speaker SPEAKER_28
transcript.pyannote[2105].start 22845.94596875
transcript.pyannote[2105].end 22853.55659375
transcript.pyannote[2106].speaker SPEAKER_28
transcript.pyannote[2106].start 22853.80971875
transcript.pyannote[2106].end 22858.29846875
transcript.pyannote[2107].speaker SPEAKER_28
transcript.pyannote[2107].start 22858.48409375
transcript.pyannote[2107].end 22860.81284375
transcript.pyannote[2108].speaker SPEAKER_28
transcript.pyannote[2108].start 22861.28534375
transcript.pyannote[2108].end 22863.17534375
transcript.pyannote[2109].speaker SPEAKER_01
transcript.pyannote[2109].start 22861.42034375
transcript.pyannote[2109].end 22861.87596875
transcript.pyannote[2110].speaker SPEAKER_28
transcript.pyannote[2110].start 22864.18784375
transcript.pyannote[2110].end 22866.92159375
transcript.pyannote[2111].speaker SPEAKER_28
transcript.pyannote[2111].start 22867.34346875
transcript.pyannote[2111].end 22870.75221875
transcript.pyannote[2112].speaker SPEAKER_28
transcript.pyannote[2112].start 22871.14034375
transcript.pyannote[2112].end 22873.41846875
transcript.pyannote[2113].speaker SPEAKER_28
transcript.pyannote[2113].start 22873.85721875
transcript.pyannote[2113].end 22875.52784375
transcript.pyannote[2114].speaker SPEAKER_28
transcript.pyannote[2114].start 22876.21971875
transcript.pyannote[2114].end 22878.16034375
transcript.pyannote[2115].speaker SPEAKER_28
transcript.pyannote[2115].start 22878.41346875
transcript.pyannote[2115].end 22880.48909375
transcript.pyannote[2116].speaker SPEAKER_28
transcript.pyannote[2116].start 22880.60721875
transcript.pyannote[2116].end 22882.36221875
transcript.pyannote[2117].speaker SPEAKER_28
transcript.pyannote[2117].start 22882.68284375
transcript.pyannote[2117].end 22891.20471875
transcript.pyannote[2118].speaker SPEAKER_28
transcript.pyannote[2118].start 22891.55909375
transcript.pyannote[2118].end 22897.14471875
transcript.pyannote[2119].speaker SPEAKER_28
transcript.pyannote[2119].start 22897.66784375
transcript.pyannote[2119].end 22899.96284375
transcript.pyannote[2120].speaker SPEAKER_28
transcript.pyannote[2120].start 22900.09784375
transcript.pyannote[2120].end 22904.63721875
transcript.pyannote[2121].speaker SPEAKER_28
transcript.pyannote[2121].start 22905.02534375
transcript.pyannote[2121].end 22907.65784375
transcript.pyannote[2122].speaker SPEAKER_28
transcript.pyannote[2122].start 22908.09659375
transcript.pyannote[2122].end 22913.12534375
transcript.pyannote[2123].speaker SPEAKER_28
transcript.pyannote[2123].start 22913.31096875
transcript.pyannote[2123].end 22918.30596875
transcript.pyannote[2124].speaker SPEAKER_28
transcript.pyannote[2124].start 22918.44096875
transcript.pyannote[2124].end 22919.50409375
transcript.pyannote[2125].speaker SPEAKER_28
transcript.pyannote[2125].start 22920.07784375
transcript.pyannote[2125].end 22923.67221875
transcript.pyannote[2126].speaker SPEAKER_28
transcript.pyannote[2126].start 22923.90846875
transcript.pyannote[2126].end 22934.55659375
transcript.pyannote[2127].speaker SPEAKER_28
transcript.pyannote[2127].start 22935.06284375
transcript.pyannote[2127].end 22936.05846875
transcript.pyannote[2128].speaker SPEAKER_28
transcript.pyannote[2128].start 22936.71659375
transcript.pyannote[2128].end 22937.57721875
transcript.pyannote[2129].speaker SPEAKER_28
transcript.pyannote[2129].start 22938.38721875
transcript.pyannote[2129].end 22938.91034375
transcript.pyannote[2130].speaker SPEAKER_28
transcript.pyannote[2130].start 22939.34909375
transcript.pyannote[2130].end 22940.66534375
transcript.pyannote[2131].speaker SPEAKER_28
transcript.pyannote[2131].start 22940.93534375
transcript.pyannote[2131].end 22946.57159375
transcript.pyannote[2132].speaker SPEAKER_28
transcript.pyannote[2132].start 22946.97659375
transcript.pyannote[2132].end 22948.24221875
transcript.pyannote[2133].speaker SPEAKER_28
transcript.pyannote[2133].start 22948.41096875
transcript.pyannote[2133].end 22951.31346875
transcript.pyannote[2134].speaker SPEAKER_28
transcript.pyannote[2134].start 22951.49909375
transcript.pyannote[2134].end 22953.43971875
transcript.pyannote[2135].speaker SPEAKER_28
transcript.pyannote[2135].start 22953.65909375
transcript.pyannote[2135].end 22954.70534375
transcript.pyannote[2136].speaker SPEAKER_28
transcript.pyannote[2136].start 22955.26221875
transcript.pyannote[2136].end 22956.27471875
transcript.pyannote[2137].speaker SPEAKER_28
transcript.pyannote[2137].start 22956.69659375
transcript.pyannote[2137].end 22959.49784375
transcript.pyannote[2138].speaker SPEAKER_28
transcript.pyannote[2138].start 22960.00409375
transcript.pyannote[2138].end 22965.28596875
transcript.pyannote[2139].speaker SPEAKER_28
transcript.pyannote[2139].start 22965.65721875
transcript.pyannote[2139].end 22967.54721875
transcript.pyannote[2140].speaker SPEAKER_28
transcript.pyannote[2140].start 22968.03659375
transcript.pyannote[2140].end 22969.62284375
transcript.pyannote[2141].speaker SPEAKER_28
transcript.pyannote[2141].start 22970.46659375
transcript.pyannote[2141].end 22971.52971875
transcript.pyannote[2142].speaker SPEAKER_28
transcript.pyannote[2142].start 22971.83346875
transcript.pyannote[2142].end 22975.49534375
transcript.pyannote[2143].speaker SPEAKER_28
transcript.pyannote[2143].start 22975.90034375
transcript.pyannote[2143].end 22977.04784375
transcript.pyannote[2144].speaker SPEAKER_28
transcript.pyannote[2144].start 22977.41909375
transcript.pyannote[2144].end 22980.65909375
transcript.pyannote[2145].speaker SPEAKER_28
transcript.pyannote[2145].start 22981.18221875
transcript.pyannote[2145].end 22983.49409375
transcript.pyannote[2146].speaker SPEAKER_28
transcript.pyannote[2146].start 22983.76409375
transcript.pyannote[2146].end 22985.62034375
transcript.pyannote[2147].speaker SPEAKER_28
transcript.pyannote[2147].start 22985.82284375
transcript.pyannote[2147].end 22987.03784375
transcript.pyannote[2148].speaker SPEAKER_28
transcript.pyannote[2148].start 22989.95721875
transcript.pyannote[2148].end 22991.15534375
transcript.pyannote[2149].speaker SPEAKER_28
transcript.pyannote[2149].start 22992.18471875
transcript.pyannote[2149].end 22993.73721875
transcript.pyannote[2150].speaker SPEAKER_28
transcript.pyannote[2150].start 22994.32784375
transcript.pyannote[2150].end 22996.70721875
transcript.pyannote[2151].speaker SPEAKER_28
transcript.pyannote[2151].start 22997.26409375
transcript.pyannote[2151].end 22999.30596875
transcript.pyannote[2152].speaker SPEAKER_28
transcript.pyannote[2152].start 22999.96409375
transcript.pyannote[2152].end 23000.95971875
transcript.pyannote[2153].speaker SPEAKER_28
transcript.pyannote[2153].start 23001.44909375
transcript.pyannote[2153].end 23002.56284375
transcript.pyannote[2154].speaker SPEAKER_28
transcript.pyannote[2154].start 23002.90034375
transcript.pyannote[2154].end 23005.68471875
transcript.pyannote[2155].speaker SPEAKER_28
transcript.pyannote[2155].start 23006.17409375
transcript.pyannote[2155].end 23010.91596875
transcript.pyannote[2156].speaker SPEAKER_28
transcript.pyannote[2156].start 23011.20284375
transcript.pyannote[2156].end 23017.76721875
transcript.pyannote[2157].speaker SPEAKER_28
transcript.pyannote[2157].start 23018.03721875
transcript.pyannote[2157].end 23018.67846875
transcript.pyannote[2158].speaker SPEAKER_28
transcript.pyannote[2158].start 23019.11721875
transcript.pyannote[2158].end 23023.36971875
transcript.pyannote[2159].speaker SPEAKER_28
transcript.pyannote[2159].start 23023.53846875
transcript.pyannote[2159].end 23026.33971875
transcript.pyannote[2160].speaker SPEAKER_28
transcript.pyannote[2160].start 23026.69409375
transcript.pyannote[2160].end 23027.85846875
transcript.pyannote[2161].speaker SPEAKER_28
transcript.pyannote[2161].start 23028.29721875
transcript.pyannote[2161].end 23029.56284375
transcript.pyannote[2162].speaker SPEAKER_28
transcript.pyannote[2162].start 23029.86659375
transcript.pyannote[2162].end 23039.09721875
transcript.pyannote[2163].speaker SPEAKER_28
transcript.pyannote[2163].start 23039.73846875
transcript.pyannote[2163].end 23042.72534375
transcript.pyannote[2164].speaker SPEAKER_28
transcript.pyannote[2164].start 23043.04596875
transcript.pyannote[2164].end 23044.59846875
transcript.pyannote[2165].speaker SPEAKER_28
transcript.pyannote[2165].start 23044.93596875
transcript.pyannote[2165].end 23046.42096875
transcript.pyannote[2166].speaker SPEAKER_28
transcript.pyannote[2166].start 23046.79221875
transcript.pyannote[2166].end 23054.72346875
transcript.pyannote[2167].speaker SPEAKER_28
transcript.pyannote[2167].start 23055.09471875
transcript.pyannote[2167].end 23058.53721875
transcript.pyannote[2168].speaker SPEAKER_28
transcript.pyannote[2168].start 23058.63846875
transcript.pyannote[2168].end 23061.28784375
transcript.pyannote[2169].speaker SPEAKER_28
transcript.pyannote[2169].start 23061.50721875
transcript.pyannote[2169].end 23067.46409375
transcript.pyannote[2170].speaker SPEAKER_23
transcript.pyannote[2170].start 23067.76784375
transcript.pyannote[2170].end 23069.37096875
transcript.pyannote[2171].speaker SPEAKER_23
transcript.pyannote[2171].start 23070.80534375
transcript.pyannote[2171].end 23075.71596875
transcript.pyannote[2172].speaker SPEAKER_23
transcript.pyannote[2172].start 23076.07034375
transcript.pyannote[2172].end 23077.94346875
transcript.pyannote[2173].speaker SPEAKER_23
transcript.pyannote[2173].start 23078.26409375
transcript.pyannote[2173].end 23082.73596875
transcript.pyannote[2174].speaker SPEAKER_23
transcript.pyannote[2174].start 23083.05659375
transcript.pyannote[2174].end 23084.18721875
transcript.pyannote[2175].speaker SPEAKER_23
transcript.pyannote[2175].start 23084.49096875
transcript.pyannote[2175].end 23112.46971875
transcript.pyannote[2176].speaker SPEAKER_23
transcript.pyannote[2176].start 23112.95909375
transcript.pyannote[2176].end 23141.51159375
transcript.pyannote[2177].speaker SPEAKER_30
transcript.pyannote[2177].start 23141.78159375
transcript.pyannote[2177].end 23145.27471875
transcript.pyannote[2178].speaker SPEAKER_30
transcript.pyannote[2178].start 23145.30846875
transcript.pyannote[2178].end 23147.53596875
transcript.pyannote[2179].speaker SPEAKER_28
transcript.pyannote[2179].start 23149.03784375
transcript.pyannote[2179].end 23152.91909375
transcript.pyannote[2180].speaker SPEAKER_28
transcript.pyannote[2180].start 23153.39159375
transcript.pyannote[2180].end 23154.18471875
transcript.pyannote[2181].speaker SPEAKER_28
transcript.pyannote[2181].start 23154.62346875
transcript.pyannote[2181].end 23156.32784375
transcript.pyannote[2182].speaker SPEAKER_28
transcript.pyannote[2182].start 23156.98596875
transcript.pyannote[2182].end 23158.55534375
transcript.pyannote[2183].speaker SPEAKER_28
transcript.pyannote[2183].start 23158.96034375
transcript.pyannote[2183].end 23159.71971875
transcript.pyannote[2184].speaker SPEAKER_28
transcript.pyannote[2184].start 23159.98971875
transcript.pyannote[2184].end 23161.03596875
transcript.pyannote[2185].speaker SPEAKER_28
transcript.pyannote[2185].start 23161.54221875
transcript.pyannote[2185].end 23162.14971875
transcript.pyannote[2186].speaker SPEAKER_28
transcript.pyannote[2186].start 23162.60534375
transcript.pyannote[2186].end 23165.17034375
transcript.pyannote[2187].speaker SPEAKER_28
transcript.pyannote[2187].start 23165.47409375
transcript.pyannote[2187].end 23166.31784375
transcript.pyannote[2188].speaker SPEAKER_28
transcript.pyannote[2188].start 23166.85784375
transcript.pyannote[2188].end 23167.70159375
transcript.pyannote[2189].speaker SPEAKER_28
transcript.pyannote[2189].start 23168.44409375
transcript.pyannote[2189].end 23170.14846875
transcript.pyannote[2190].speaker SPEAKER_28
transcript.pyannote[2190].start 23170.48596875
transcript.pyannote[2190].end 23171.34659375
transcript.pyannote[2191].speaker SPEAKER_28
transcript.pyannote[2191].start 23171.51534375
transcript.pyannote[2191].end 23175.81846875
transcript.pyannote[2192].speaker SPEAKER_28
transcript.pyannote[2192].start 23176.39221875
transcript.pyannote[2192].end 23180.59409375
transcript.pyannote[2193].speaker SPEAKER_28
transcript.pyannote[2193].start 23180.83034375
transcript.pyannote[2193].end 23181.91034375
transcript.pyannote[2194].speaker SPEAKER_28
transcript.pyannote[2194].start 23182.61909375
transcript.pyannote[2194].end 23185.35284375
transcript.pyannote[2195].speaker SPEAKER_28
transcript.pyannote[2195].start 23185.90971875
transcript.pyannote[2195].end 23188.55909375
transcript.pyannote[2196].speaker SPEAKER_28
transcript.pyannote[2196].start 23188.94721875
transcript.pyannote[2196].end 23190.22971875
transcript.pyannote[2197].speaker SPEAKER_28
transcript.pyannote[2197].start 23190.55034375
transcript.pyannote[2197].end 23191.79909375
transcript.pyannote[2198].speaker SPEAKER_28
transcript.pyannote[2198].start 23192.42346875
transcript.pyannote[2198].end 23196.32159375
transcript.pyannote[2199].speaker SPEAKER_28
transcript.pyannote[2199].start 23196.94596875
transcript.pyannote[2199].end 23198.73471875
transcript.pyannote[2200].speaker SPEAKER_28
transcript.pyannote[2200].start 23199.83159375
transcript.pyannote[2200].end 23201.02971875
transcript.pyannote[2201].speaker SPEAKER_28
transcript.pyannote[2201].start 23201.33346875
transcript.pyannote[2201].end 23202.34596875
transcript.pyannote[2202].speaker SPEAKER_28
transcript.pyannote[2202].start 23202.73409375
transcript.pyannote[2202].end 23203.61159375
transcript.pyannote[2203].speaker SPEAKER_28
transcript.pyannote[2203].start 23204.05034375
transcript.pyannote[2203].end 23206.46346875
transcript.pyannote[2204].speaker SPEAKER_28
transcript.pyannote[2204].start 23206.83471875
transcript.pyannote[2204].end 23207.84721875
transcript.pyannote[2205].speaker SPEAKER_28
transcript.pyannote[2205].start 23209.01159375
transcript.pyannote[2205].end 23209.61909375
transcript.pyannote[2206].speaker SPEAKER_28
transcript.pyannote[2206].start 23210.46284375
transcript.pyannote[2206].end 23215.67721875
transcript.pyannote[2207].speaker SPEAKER_28
transcript.pyannote[2207].start 23216.01471875
transcript.pyannote[2207].end 23216.62221875
transcript.pyannote[2208].speaker SPEAKER_28
transcript.pyannote[2208].start 23216.95971875
transcript.pyannote[2208].end 23219.72721875
transcript.pyannote[2209].speaker SPEAKER_28
transcript.pyannote[2209].start 23220.41909375
transcript.pyannote[2209].end 23222.27534375
transcript.pyannote[2210].speaker SPEAKER_28
transcript.pyannote[2210].start 23222.37659375
transcript.pyannote[2210].end 23223.69284375
transcript.pyannote[2211].speaker SPEAKER_28
transcript.pyannote[2211].start 23224.38471875
transcript.pyannote[2211].end 23225.46471875
transcript.pyannote[2212].speaker SPEAKER_28
transcript.pyannote[2212].start 23226.57846875
transcript.pyannote[2212].end 23228.21534375
transcript.pyannote[2213].speaker SPEAKER_28
transcript.pyannote[2213].start 23228.70471875
transcript.pyannote[2213].end 23231.60721875
transcript.pyannote[2214].speaker SPEAKER_28
transcript.pyannote[2214].start 23231.86034375
transcript.pyannote[2214].end 23233.02471875
transcript.pyannote[2215].speaker SPEAKER_28
transcript.pyannote[2215].start 23233.34534375
transcript.pyannote[2215].end 23234.39159375
transcript.pyannote[2216].speaker SPEAKER_28
transcript.pyannote[2216].start 23234.98221875
transcript.pyannote[2216].end 23238.54284375
transcript.pyannote[2217].speaker SPEAKER_28
transcript.pyannote[2217].start 23238.64409375
transcript.pyannote[2217].end 23246.15346875
transcript.pyannote[2218].speaker SPEAKER_28
transcript.pyannote[2218].start 23246.37284375
transcript.pyannote[2218].end 23246.87909375
transcript.pyannote[2219].speaker SPEAKER_28
transcript.pyannote[2219].start 23247.57096875
transcript.pyannote[2219].end 23250.40596875
transcript.pyannote[2220].speaker SPEAKER_28
transcript.pyannote[2220].start 23250.70971875
transcript.pyannote[2220].end 23253.73034375
transcript.pyannote[2221].speaker SPEAKER_28
transcript.pyannote[2221].start 23254.16909375
transcript.pyannote[2221].end 23257.25721875
transcript.pyannote[2222].speaker SPEAKER_28
transcript.pyannote[2222].start 23257.88159375
transcript.pyannote[2222].end 23259.40034375
transcript.pyannote[2223].speaker SPEAKER_28
transcript.pyannote[2223].start 23259.85596875
transcript.pyannote[2223].end 23262.94409375
transcript.pyannote[2224].speaker SPEAKER_28
transcript.pyannote[2224].start 23263.34909375
transcript.pyannote[2224].end 23268.00659375
transcript.pyannote[2225].speaker SPEAKER_28
transcript.pyannote[2225].start 23268.31034375
transcript.pyannote[2225].end 23270.38596875
transcript.pyannote[2226].speaker SPEAKER_31
transcript.pyannote[2226].start 23269.71096875
transcript.pyannote[2226].end 23269.86284375
transcript.pyannote[2227].speaker SPEAKER_28
transcript.pyannote[2227].start 23270.72346875
transcript.pyannote[2227].end 23271.73596875
transcript.pyannote[2228].speaker SPEAKER_28
transcript.pyannote[2228].start 23272.29284375
transcript.pyannote[2228].end 23274.94221875
transcript.pyannote[2229].speaker SPEAKER_28
transcript.pyannote[2229].start 23275.56659375
transcript.pyannote[2229].end 23276.96721875
transcript.pyannote[2230].speaker SPEAKER_28
transcript.pyannote[2230].start 23278.41846875
transcript.pyannote[2230].end 23280.46034375
transcript.pyannote[2231].speaker SPEAKER_28
transcript.pyannote[2231].start 23280.62909375
transcript.pyannote[2231].end 23282.31659375
transcript.pyannote[2232].speaker SPEAKER_28
transcript.pyannote[2232].start 23282.70471875
transcript.pyannote[2232].end 23286.06284375
transcript.pyannote[2233].speaker SPEAKER_28
transcript.pyannote[2233].start 23286.23159375
transcript.pyannote[2233].end 23287.09221875
transcript.pyannote[2234].speaker SPEAKER_28
transcript.pyannote[2234].start 23287.78409375
transcript.pyannote[2234].end 23291.36159375
transcript.pyannote[2235].speaker SPEAKER_28
transcript.pyannote[2235].start 23291.66534375
transcript.pyannote[2235].end 23294.97284375
transcript.pyannote[2236].speaker SPEAKER_28
transcript.pyannote[2236].start 23295.44534375
transcript.pyannote[2236].end 23299.39409375
transcript.pyannote[2237].speaker SPEAKER_28
transcript.pyannote[2237].start 23299.86659375
transcript.pyannote[2237].end 23301.13221875
transcript.pyannote[2238].speaker SPEAKER_28
transcript.pyannote[2238].start 23301.68909375
transcript.pyannote[2238].end 23303.51159375
transcript.pyannote[2239].speaker SPEAKER_28
transcript.pyannote[2239].start 23303.73096875
transcript.pyannote[2239].end 23306.14409375
transcript.pyannote[2240].speaker SPEAKER_28
transcript.pyannote[2240].start 23306.34659375
transcript.pyannote[2240].end 23310.16034375
transcript.pyannote[2241].speaker SPEAKER_28
transcript.pyannote[2241].start 23310.48096875
transcript.pyannote[2241].end 23311.74659375
transcript.pyannote[2242].speaker SPEAKER_28
transcript.pyannote[2242].start 23312.03346875
transcript.pyannote[2242].end 23316.87659375
transcript.pyannote[2243].speaker SPEAKER_28
transcript.pyannote[2243].start 23317.36596875
transcript.pyannote[2243].end 23324.25096875
transcript.pyannote[2244].speaker SPEAKER_28
transcript.pyannote[2244].start 23324.67284375
transcript.pyannote[2244].end 23326.81596875
transcript.pyannote[2245].speaker SPEAKER_28
transcript.pyannote[2245].start 23326.91721875
transcript.pyannote[2245].end 23331.87846875
transcript.pyannote[2246].speaker SPEAKER_28
transcript.pyannote[2246].start 23332.72221875
transcript.pyannote[2246].end 23333.43096875
transcript.pyannote[2247].speaker SPEAKER_28
transcript.pyannote[2247].start 23333.78534375
transcript.pyannote[2247].end 23337.88596875
transcript.pyannote[2248].speaker SPEAKER_28
transcript.pyannote[2248].start 23338.34159375
transcript.pyannote[2248].end 23339.45534375
transcript.pyannote[2249].speaker SPEAKER_28
transcript.pyannote[2249].start 23339.55659375
transcript.pyannote[2249].end 23341.22721875
transcript.pyannote[2250].speaker SPEAKER_28
transcript.pyannote[2250].start 23342.86409375
transcript.pyannote[2250].end 23344.36596875
transcript.pyannote[2251].speaker SPEAKER_28
transcript.pyannote[2251].start 23345.69909375
transcript.pyannote[2251].end 23347.30221875
transcript.pyannote[2252].speaker SPEAKER_28
transcript.pyannote[2252].start 23347.89284375
transcript.pyannote[2252].end 23349.25971875
transcript.pyannote[2253].speaker SPEAKER_28
transcript.pyannote[2253].start 23349.90096875
transcript.pyannote[2253].end 23351.72346875
transcript.pyannote[2254].speaker SPEAKER_28
transcript.pyannote[2254].start 23352.31409375
transcript.pyannote[2254].end 23354.96346875
transcript.pyannote[2255].speaker SPEAKER_28
transcript.pyannote[2255].start 23355.36846875
transcript.pyannote[2255].end 23356.33034375
transcript.pyannote[2256].speaker SPEAKER_28
transcript.pyannote[2256].start 23356.80284375
transcript.pyannote[2256].end 23357.54534375
transcript.pyannote[2257].speaker SPEAKER_28
transcript.pyannote[2257].start 23357.91659375
transcript.pyannote[2257].end 23360.51534375
transcript.pyannote[2258].speaker SPEAKER_28
transcript.pyannote[2258].start 23360.80221875
transcript.pyannote[2258].end 23362.62471875
transcript.pyannote[2259].speaker SPEAKER_28
transcript.pyannote[2259].start 23363.24909375
transcript.pyannote[2259].end 23370.70784375
transcript.pyannote[2260].speaker SPEAKER_28
transcript.pyannote[2260].start 23371.78784375
transcript.pyannote[2260].end 23372.29409375
transcript.pyannote[2261].speaker SPEAKER_28
transcript.pyannote[2261].start 23372.47971875
transcript.pyannote[2261].end 23377.01909375
transcript.pyannote[2262].speaker SPEAKER_28
transcript.pyannote[2262].start 23377.89659375
transcript.pyannote[2262].end 23381.28846875
transcript.pyannote[2263].speaker SPEAKER_28
transcript.pyannote[2263].start 23381.86221875
transcript.pyannote[2263].end 23383.76909375
transcript.pyannote[2264].speaker SPEAKER_28
transcript.pyannote[2264].start 23384.59596875
transcript.pyannote[2264].end 23385.65909375
transcript.pyannote[2265].speaker SPEAKER_28
transcript.pyannote[2265].start 23385.84471875
transcript.pyannote[2265].end 23388.52784375
transcript.pyannote[2266].speaker SPEAKER_28
transcript.pyannote[2266].start 23388.88221875
transcript.pyannote[2266].end 23391.04221875
transcript.pyannote[2267].speaker SPEAKER_28
transcript.pyannote[2267].start 23391.14346875
transcript.pyannote[2267].end 23393.75909375
transcript.pyannote[2268].speaker SPEAKER_28
transcript.pyannote[2268].start 23394.72096875
transcript.pyannote[2268].end 23397.04971875
transcript.pyannote[2269].speaker SPEAKER_28
transcript.pyannote[2269].start 23397.96096875
transcript.pyannote[2269].end 23403.27659375
transcript.pyannote[2270].speaker SPEAKER_28
transcript.pyannote[2270].start 23404.06971875
transcript.pyannote[2270].end 23404.89659375
transcript.pyannote[2271].speaker SPEAKER_28
transcript.pyannote[2271].start 23405.21721875
transcript.pyannote[2271].end 23407.22534375
transcript.pyannote[2272].speaker SPEAKER_28
transcript.pyannote[2272].start 23407.91721875
transcript.pyannote[2272].end 23410.76909375
transcript.pyannote[2273].speaker SPEAKER_28
transcript.pyannote[2273].start 23411.71409375
transcript.pyannote[2273].end 23412.38909375
transcript.pyannote[2274].speaker SPEAKER_28
transcript.pyannote[2274].start 23413.14846875
transcript.pyannote[2274].end 23415.07221875
transcript.pyannote[2275].speaker SPEAKER_28
transcript.pyannote[2275].start 23416.27034375
transcript.pyannote[2275].end 23418.73409375
transcript.pyannote[2276].speaker SPEAKER_28
transcript.pyannote[2276].start 23419.15596875
transcript.pyannote[2276].end 23421.82221875
transcript.pyannote[2277].speaker SPEAKER_28
transcript.pyannote[2277].start 23421.94034375
transcript.pyannote[2277].end 23424.38721875
transcript.pyannote[2278].speaker SPEAKER_28
transcript.pyannote[2278].start 23424.85971875
transcript.pyannote[2278].end 23425.48409375
transcript.pyannote[2279].speaker SPEAKER_28
transcript.pyannote[2279].start 23425.87221875
transcript.pyannote[2279].end 23427.61034375
transcript.pyannote[2280].speaker SPEAKER_28
transcript.pyannote[2280].start 23428.13346875
transcript.pyannote[2280].end 23429.17971875
transcript.pyannote[2281].speaker SPEAKER_28
transcript.pyannote[2281].start 23429.70284375
transcript.pyannote[2281].end 23431.57596875
transcript.pyannote[2282].speaker SPEAKER_28
transcript.pyannote[2282].start 23432.11596875
transcript.pyannote[2282].end 23433.60096875
transcript.pyannote[2283].speaker SPEAKER_28
transcript.pyannote[2283].start 23433.95534375
transcript.pyannote[2283].end 23435.69346875
transcript.pyannote[2284].speaker SPEAKER_28
transcript.pyannote[2284].start 23436.25034375
transcript.pyannote[2284].end 23438.79846875
transcript.pyannote[2285].speaker SPEAKER_28
transcript.pyannote[2285].start 23439.94596875
transcript.pyannote[2285].end 23442.78096875
transcript.pyannote[2286].speaker SPEAKER_28
transcript.pyannote[2286].start 23443.08471875
transcript.pyannote[2286].end 23445.63284375
transcript.pyannote[2287].speaker SPEAKER_28
transcript.pyannote[2287].start 23446.39221875
transcript.pyannote[2287].end 23448.85596875
transcript.pyannote[2288].speaker SPEAKER_28
transcript.pyannote[2288].start 23449.49721875
transcript.pyannote[2288].end 23453.36159375
transcript.pyannote[2289].speaker SPEAKER_28
transcript.pyannote[2289].start 23453.54721875
transcript.pyannote[2289].end 23455.90971875
transcript.pyannote[2290].speaker SPEAKER_28
transcript.pyannote[2290].start 23456.19659375
transcript.pyannote[2290].end 23459.63909375
transcript.pyannote[2291].speaker SPEAKER_28
transcript.pyannote[2291].start 23460.02721875
transcript.pyannote[2291].end 23460.80346875
transcript.pyannote[2292].speaker SPEAKER_28
transcript.pyannote[2292].start 23461.12409375
transcript.pyannote[2292].end 23463.72284375
transcript.pyannote[2293].speaker SPEAKER_28
transcript.pyannote[2293].start 23464.21221875
transcript.pyannote[2293].end 23466.65909375
transcript.pyannote[2294].speaker SPEAKER_28
transcript.pyannote[2294].start 23466.86159375
transcript.pyannote[2294].end 23468.24534375
transcript.pyannote[2295].speaker SPEAKER_28
transcript.pyannote[2295].start 23468.81909375
transcript.pyannote[2295].end 23471.97471875
transcript.pyannote[2296].speaker SPEAKER_28
transcript.pyannote[2296].start 23472.27846875
transcript.pyannote[2296].end 23473.99971875
transcript.pyannote[2297].speaker SPEAKER_28
transcript.pyannote[2297].start 23474.59034375
transcript.pyannote[2297].end 23476.29471875
transcript.pyannote[2298].speaker SPEAKER_28
transcript.pyannote[2298].start 23476.93596875
transcript.pyannote[2298].end 23477.79659375
transcript.pyannote[2299].speaker SPEAKER_28
transcript.pyannote[2299].start 23478.38721875
transcript.pyannote[2299].end 23479.41659375
transcript.pyannote[2300].speaker SPEAKER_28
transcript.pyannote[2300].start 23480.22659375
transcript.pyannote[2300].end 23484.78284375
transcript.pyannote[2301].speaker SPEAKER_28
transcript.pyannote[2301].start 23484.96846875
transcript.pyannote[2301].end 23485.71096875
transcript.pyannote[2302].speaker SPEAKER_28
transcript.pyannote[2302].start 23486.11596875
transcript.pyannote[2302].end 23488.15784375
transcript.pyannote[2303].speaker SPEAKER_28
transcript.pyannote[2303].start 23488.90034375
transcript.pyannote[2303].end 23492.86596875
transcript.pyannote[2304].speaker SPEAKER_28
transcript.pyannote[2304].start 23493.25409375
transcript.pyannote[2304].end 23495.90346875
transcript.pyannote[2305].speaker SPEAKER_28
transcript.pyannote[2305].start 23496.13971875
transcript.pyannote[2305].end 23497.40534375
transcript.pyannote[2306].speaker SPEAKER_28
transcript.pyannote[2306].start 23497.96221875
transcript.pyannote[2306].end 23503.66596875
transcript.pyannote[2307].speaker SPEAKER_28
transcript.pyannote[2307].start 23503.78409375
transcript.pyannote[2307].end 23514.19596875
transcript.pyannote[2308].speaker SPEAKER_28
transcript.pyannote[2308].start 23514.48284375
transcript.pyannote[2308].end 23516.06909375
transcript.pyannote[2309].speaker SPEAKER_28
transcript.pyannote[2309].start 23516.50784375
transcript.pyannote[2309].end 23525.23221875
transcript.pyannote[2310].speaker SPEAKER_28
transcript.pyannote[2310].start 23525.38409375
transcript.pyannote[2310].end 23526.73409375
transcript.pyannote[2311].speaker SPEAKER_28
transcript.pyannote[2311].start 23527.42596875
transcript.pyannote[2311].end 23527.91534375
transcript.pyannote[2312].speaker SPEAKER_28
transcript.pyannote[2312].start 23528.33721875
transcript.pyannote[2312].end 23530.51409375
transcript.pyannote[2313].speaker SPEAKER_28
transcript.pyannote[2313].start 23530.85159375
transcript.pyannote[2313].end 23531.91471875
transcript.pyannote[2314].speaker SPEAKER_28
transcript.pyannote[2314].start 23532.10034375
transcript.pyannote[2314].end 23534.09159375
transcript.pyannote[2315].speaker SPEAKER_28
transcript.pyannote[2315].start 23534.53034375
transcript.pyannote[2315].end 23535.64409375
transcript.pyannote[2316].speaker SPEAKER_28
transcript.pyannote[2316].start 23535.96471875
transcript.pyannote[2316].end 23536.77471875
transcript.pyannote[2317].speaker SPEAKER_28
transcript.pyannote[2317].start 23537.39909375
transcript.pyannote[2317].end 23537.93909375
transcript.pyannote[2318].speaker SPEAKER_28
transcript.pyannote[2318].start 23538.66471875
transcript.pyannote[2318].end 23540.21721875
transcript.pyannote[2319].speaker SPEAKER_28
transcript.pyannote[2319].start 23540.80784375
transcript.pyannote[2319].end 23542.12409375
transcript.pyannote[2320].speaker SPEAKER_28
transcript.pyannote[2320].start 23542.47846875
transcript.pyannote[2320].end 23543.84534375
transcript.pyannote[2321].speaker SPEAKER_28
transcript.pyannote[2321].start 23543.94659375
transcript.pyannote[2321].end 23548.84034375
transcript.pyannote[2322].speaker SPEAKER_28
transcript.pyannote[2322].start 23550.25784375
transcript.pyannote[2322].end 23552.95784375
transcript.pyannote[2323].speaker SPEAKER_28
transcript.pyannote[2323].start 23553.24471875
transcript.pyannote[2323].end 23554.69596875
transcript.pyannote[2324].speaker SPEAKER_28
transcript.pyannote[2324].start 23555.26971875
transcript.pyannote[2324].end 23556.65346875
transcript.pyannote[2325].speaker SPEAKER_28
transcript.pyannote[2325].start 23557.12596875
transcript.pyannote[2325].end 23559.99471875
transcript.pyannote[2326].speaker SPEAKER_28
transcript.pyannote[2326].start 23560.43346875
transcript.pyannote[2326].end 23567.04846875
transcript.pyannote[2327].speaker SPEAKER_28
transcript.pyannote[2327].start 23567.65596875
transcript.pyannote[2327].end 23576.26221875
transcript.pyannote[2328].speaker SPEAKER_28
transcript.pyannote[2328].start 23576.70096875
transcript.pyannote[2328].end 23577.78096875
transcript.pyannote[2329].speaker SPEAKER_28
transcript.pyannote[2329].start 23577.94971875
transcript.pyannote[2329].end 23581.00409375
transcript.pyannote[2330].speaker SPEAKER_00
transcript.pyannote[2330].start 23577.98346875
transcript.pyannote[2330].end 23578.35471875
transcript.pyannote[2331].speaker SPEAKER_28
transcript.pyannote[2331].start 23581.74659375
transcript.pyannote[2331].end 23584.93596875
transcript.pyannote[2332].speaker SPEAKER_28
transcript.pyannote[2332].start 23585.64471875
transcript.pyannote[2332].end 23589.12096875
transcript.pyannote[2333].speaker SPEAKER_28
transcript.pyannote[2333].start 23589.77909375
transcript.pyannote[2333].end 23591.17971875
transcript.pyannote[2334].speaker SPEAKER_28
transcript.pyannote[2334].start 23591.78721875
transcript.pyannote[2334].end 23593.08659375
transcript.pyannote[2335].speaker SPEAKER_28
transcript.pyannote[2335].start 23593.40721875
transcript.pyannote[2335].end 23597.52471875
transcript.pyannote[2336].speaker SPEAKER_28
transcript.pyannote[2336].start 23597.62596875
transcript.pyannote[2336].end 23603.59971875
transcript.pyannote[2337].speaker SPEAKER_28
transcript.pyannote[2337].start 23604.03846875
transcript.pyannote[2337].end 23615.10846875
transcript.pyannote[2338].speaker SPEAKER_28
transcript.pyannote[2338].start 23615.81721875
transcript.pyannote[2338].end 23617.63971875
transcript.pyannote[2339].speaker SPEAKER_28
transcript.pyannote[2339].start 23617.85909375
transcript.pyannote[2339].end 23619.49596875
transcript.pyannote[2340].speaker SPEAKER_28
transcript.pyannote[2340].start 23619.90096875
transcript.pyannote[2340].end 23621.09909375
transcript.pyannote[2341].speaker SPEAKER_28
transcript.pyannote[2341].start 23621.48721875
transcript.pyannote[2341].end 23627.83221875
transcript.pyannote[2342].speaker SPEAKER_28
transcript.pyannote[2342].start 23628.23721875
transcript.pyannote[2342].end 23629.80659375
transcript.pyannote[2343].speaker SPEAKER_28
transcript.pyannote[2343].start 23629.95846875
transcript.pyannote[2343].end 23633.56971875
transcript.pyannote[2344].speaker SPEAKER_28
transcript.pyannote[2344].start 23633.89034375
transcript.pyannote[2344].end 23634.81846875
transcript.pyannote[2345].speaker SPEAKER_28
transcript.pyannote[2345].start 23635.13909375
transcript.pyannote[2345].end 23638.49721875
transcript.pyannote[2346].speaker SPEAKER_28
transcript.pyannote[2346].start 23638.76721875
transcript.pyannote[2346].end 23649.07784375
transcript.pyannote[2347].speaker SPEAKER_28
transcript.pyannote[2347].start 23649.51659375
transcript.pyannote[2347].end 23653.11096875
transcript.pyannote[2348].speaker SPEAKER_28
transcript.pyannote[2348].start 23653.63409375
transcript.pyannote[2348].end 23656.01346875
transcript.pyannote[2349].speaker SPEAKER_28
transcript.pyannote[2349].start 23656.57034375
transcript.pyannote[2349].end 23658.81471875
transcript.pyannote[2350].speaker SPEAKER_01
transcript.pyannote[2350].start 23659.13534375
transcript.pyannote[2350].end 23659.23659375
transcript.pyannote[2351].speaker SPEAKER_28
transcript.pyannote[2351].start 23660.01284375
transcript.pyannote[2351].end 23663.92784375
transcript.pyannote[2352].speaker SPEAKER_28
transcript.pyannote[2352].start 23664.83909375
transcript.pyannote[2352].end 23666.00346875
transcript.pyannote[2353].speaker SPEAKER_28
transcript.pyannote[2353].start 23667.03284375
transcript.pyannote[2353].end 23668.18034375
transcript.pyannote[2354].speaker SPEAKER_28
transcript.pyannote[2354].start 23668.72034375
transcript.pyannote[2354].end 23671.82534375
transcript.pyannote[2355].speaker SPEAKER_28
transcript.pyannote[2355].start 23672.28096875
transcript.pyannote[2355].end 23677.03971875
transcript.pyannote[2356].speaker SPEAKER_28
transcript.pyannote[2356].start 23677.39409375
transcript.pyannote[2356].end 23682.59159375
transcript.pyannote[2357].speaker SPEAKER_28
transcript.pyannote[2357].start 23683.03034375
transcript.pyannote[2357].end 23683.87409375
transcript.pyannote[2358].speaker SPEAKER_28
transcript.pyannote[2358].start 23684.58284375
transcript.pyannote[2358].end 23687.70471875
transcript.pyannote[2359].speaker SPEAKER_28
transcript.pyannote[2359].start 23688.34596875
transcript.pyannote[2359].end 23694.11721875
transcript.pyannote[2360].speaker SPEAKER_28
transcript.pyannote[2360].start 23694.57284375
transcript.pyannote[2360].end 23698.90971875
transcript.pyannote[2361].speaker SPEAKER_28
transcript.pyannote[2361].start 23699.14596875
transcript.pyannote[2361].end 23700.00659375
transcript.pyannote[2362].speaker SPEAKER_28
transcript.pyannote[2362].start 23700.22596875
transcript.pyannote[2362].end 23705.42346875
transcript.pyannote[2363].speaker SPEAKER_28
transcript.pyannote[2363].start 23705.96346875
transcript.pyannote[2363].end 23707.78596875
transcript.pyannote[2364].speaker SPEAKER_28
transcript.pyannote[2364].start 23708.00534375
transcript.pyannote[2364].end 23710.58721875
transcript.pyannote[2365].speaker SPEAKER_28
transcript.pyannote[2365].start 23710.84034375
transcript.pyannote[2365].end 23713.18596875
transcript.pyannote[2366].speaker SPEAKER_28
transcript.pyannote[2366].start 23713.59096875
transcript.pyannote[2366].end 23715.26159375
transcript.pyannote[2367].speaker SPEAKER_28
transcript.pyannote[2367].start 23715.44721875
transcript.pyannote[2367].end 23719.04159375
transcript.pyannote[2368].speaker SPEAKER_28
transcript.pyannote[2368].start 23719.54784375
transcript.pyannote[2368].end 23720.18909375
transcript.pyannote[2369].speaker SPEAKER_28
transcript.pyannote[2369].start 23720.23971875
transcript.pyannote[2369].end 23722.48409375
transcript.pyannote[2370].speaker SPEAKER_28
transcript.pyannote[2370].start 23722.78784375
transcript.pyannote[2370].end 23729.58846875
transcript.pyannote[2371].speaker SPEAKER_28
transcript.pyannote[2371].start 23729.67284375
transcript.pyannote[2371].end 23733.11534375
transcript.pyannote[2372].speaker SPEAKER_00
transcript.pyannote[2372].start 23729.90909375
transcript.pyannote[2372].end 23730.28034375
transcript.pyannote[2373].speaker SPEAKER_28
transcript.pyannote[2373].start 23733.68909375
transcript.pyannote[2373].end 23736.87846875
transcript.pyannote[2374].speaker SPEAKER_28
transcript.pyannote[2374].start 23739.84846875
transcript.pyannote[2374].end 23740.54034375
transcript.pyannote[2375].speaker SPEAKER_28
transcript.pyannote[2375].start 23740.87784375
transcript.pyannote[2375].end 23745.09659375
transcript.pyannote[2376].speaker SPEAKER_28
transcript.pyannote[2376].start 23745.55221875
transcript.pyannote[2376].end 23746.73346875
transcript.pyannote[2377].speaker SPEAKER_28
transcript.pyannote[2377].start 23747.29034375
transcript.pyannote[2377].end 23748.47159375
transcript.pyannote[2378].speaker SPEAKER_28
transcript.pyannote[2378].start 23749.23096875
transcript.pyannote[2378].end 23750.42909375
transcript.pyannote[2379].speaker SPEAKER_28
transcript.pyannote[2379].start 23751.15471875
transcript.pyannote[2379].end 23752.87596875
transcript.pyannote[2380].speaker SPEAKER_28
transcript.pyannote[2380].start 23753.56784375
transcript.pyannote[2380].end 23754.44534375
transcript.pyannote[2381].speaker SPEAKER_28
transcript.pyannote[2381].start 23755.12034375
transcript.pyannote[2381].end 23756.45346875
transcript.pyannote[2382].speaker SPEAKER_28
transcript.pyannote[2382].start 23756.72346875
transcript.pyannote[2382].end 23758.61346875
transcript.pyannote[2383].speaker SPEAKER_28
transcript.pyannote[2383].start 23759.22096875
transcript.pyannote[2383].end 23764.36784375
transcript.pyannote[2384].speaker SPEAKER_28
transcript.pyannote[2384].start 23764.84034375
transcript.pyannote[2384].end 23767.23659375
transcript.pyannote[2385].speaker SPEAKER_28
transcript.pyannote[2385].start 23767.37159375
transcript.pyannote[2385].end 23768.82284375
transcript.pyannote[2386].speaker SPEAKER_28
transcript.pyannote[2386].start 23769.09284375
transcript.pyannote[2386].end 23780.93909375
transcript.pyannote[2387].speaker SPEAKER_28
transcript.pyannote[2387].start 23781.24284375
transcript.pyannote[2387].end 23793.64596875
transcript.pyannote[2388].speaker SPEAKER_28
transcript.pyannote[2388].start 23794.01721875
transcript.pyannote[2388].end 23801.64471875
transcript.pyannote[2389].speaker SPEAKER_28
transcript.pyannote[2389].start 23802.01596875
transcript.pyannote[2389].end 23805.88034375
transcript.pyannote[2390].speaker SPEAKER_28
transcript.pyannote[2390].start 23806.11659375
transcript.pyannote[2390].end 23809.72784375
transcript.pyannote[2391].speaker SPEAKER_30
transcript.pyannote[2391].start 23809.94721875
transcript.pyannote[2391].end 23817.38909375
transcript.pyannote[2392].speaker SPEAKER_30
transcript.pyannote[2392].start 23817.86159375
transcript.pyannote[2392].end 23856.50534375
transcript.pyannote[2393].speaker SPEAKER_30
transcript.pyannote[2393].start 23857.14659375
transcript.pyannote[2393].end 23875.16909375
transcript.pyannote[2394].speaker SPEAKER_30
transcript.pyannote[2394].start 23875.23659375
transcript.pyannote[2394].end 23879.84346875
transcript.pyannote[2395].speaker SPEAKER_23
transcript.pyannote[2395].start 23880.43409375
transcript.pyannote[2395].end 23887.40346875
transcript.pyannote[2396].speaker SPEAKER_23
transcript.pyannote[2396].start 23887.82534375
transcript.pyannote[2396].end 23888.75346875
transcript.pyannote[2397].speaker SPEAKER_23
transcript.pyannote[2397].start 23888.95596875
transcript.pyannote[2397].end 23893.74846875
transcript.pyannote[2398].speaker SPEAKER_23
transcript.pyannote[2398].start 23894.08596875
transcript.pyannote[2398].end 23905.78034375
transcript.pyannote[2399].speaker SPEAKER_23
transcript.pyannote[2399].start 23906.06721875
transcript.pyannote[2399].end 23907.23159375
transcript.pyannote[2400].speaker SPEAKER_23
transcript.pyannote[2400].start 23907.61971875
transcript.pyannote[2400].end 23913.49221875
transcript.pyannote[2401].speaker SPEAKER_23
transcript.pyannote[2401].start 23913.57659375
transcript.pyannote[2401].end 23914.87596875
transcript.pyannote[2402].speaker SPEAKER_23
transcript.pyannote[2402].start 23915.11221875
transcript.pyannote[2402].end 23917.76159375
transcript.pyannote[2403].speaker SPEAKER_23
transcript.pyannote[2403].start 23917.98096875
transcript.pyannote[2403].end 23922.08159375
transcript.pyannote[2404].speaker SPEAKER_23
transcript.pyannote[2404].start 23922.60471875
transcript.pyannote[2404].end 23948.98034375
transcript.pyannote[2405].speaker SPEAKER_23
transcript.pyannote[2405].start 23949.33471875
transcript.pyannote[2405].end 23962.37909375
transcript.pyannote[2406].speaker SPEAKER_23
transcript.pyannote[2406].start 23962.61534375
transcript.pyannote[2406].end 24023.75346875
transcript.pyannote[2407].speaker SPEAKER_23
transcript.pyannote[2407].start 24023.88846875
transcript.pyannote[2407].end 24025.39034375
transcript.pyannote[2408].speaker SPEAKER_28
transcript.pyannote[2408].start 24025.71096875
transcript.pyannote[2408].end 24034.55346875
transcript.pyannote[2409].speaker SPEAKER_23
transcript.pyannote[2409].start 24029.25471875
transcript.pyannote[2409].end 24029.69346875
transcript.pyannote[2410].speaker SPEAKER_28
transcript.pyannote[2410].start 24035.21159375
transcript.pyannote[2410].end 24036.62909375
transcript.pyannote[2411].speaker SPEAKER_28
transcript.pyannote[2411].start 24036.94971875
transcript.pyannote[2411].end 24040.91534375
transcript.pyannote[2412].speaker SPEAKER_28
transcript.pyannote[2412].start 24040.96596875
transcript.pyannote[2412].end 24045.96096875
transcript.pyannote[2413].speaker SPEAKER_28
transcript.pyannote[2413].start 24046.19721875
transcript.pyannote[2413].end 24047.69909375
transcript.pyannote[2414].speaker SPEAKER_28
transcript.pyannote[2414].start 24047.93534375
transcript.pyannote[2414].end 24049.70721875
transcript.pyannote[2415].speaker SPEAKER_28
transcript.pyannote[2415].start 24049.74096875
transcript.pyannote[2415].end 24052.03596875
transcript.pyannote[2416].speaker SPEAKER_28
transcript.pyannote[2416].start 24052.39034375
transcript.pyannote[2416].end 24053.97659375
transcript.pyannote[2417].speaker SPEAKER_28
transcript.pyannote[2417].start 24054.43221875
transcript.pyannote[2417].end 24057.36846875
transcript.pyannote[2418].speaker SPEAKER_28
transcript.pyannote[2418].start 24057.50346875
transcript.pyannote[2418].end 24058.87034375
transcript.pyannote[2419].speaker SPEAKER_28
transcript.pyannote[2419].start 24058.92096875
transcript.pyannote[2419].end 24061.04721875
transcript.pyannote[2420].speaker SPEAKER_28
transcript.pyannote[2420].start 24061.51971875
transcript.pyannote[2420].end 24063.86534375
transcript.pyannote[2421].speaker SPEAKER_28
transcript.pyannote[2421].start 24064.06784375
transcript.pyannote[2421].end 24065.18159375
transcript.pyannote[2422].speaker SPEAKER_28
transcript.pyannote[2422].start 24065.46846875
transcript.pyannote[2422].end 24066.10971875
transcript.pyannote[2423].speaker SPEAKER_28
transcript.pyannote[2423].start 24066.58221875
transcript.pyannote[2423].end 24067.79721875
transcript.pyannote[2424].speaker SPEAKER_28
transcript.pyannote[2424].start 24068.06721875
transcript.pyannote[2424].end 24078.04034375
transcript.pyannote[2425].speaker SPEAKER_28
transcript.pyannote[2425].start 24078.12471875
transcript.pyannote[2425].end 24078.63096875
transcript.pyannote[2426].speaker SPEAKER_28
transcript.pyannote[2426].start 24079.05284375
transcript.pyannote[2426].end 24080.92596875
transcript.pyannote[2427].speaker SPEAKER_28
transcript.pyannote[2427].start 24081.01034375
transcript.pyannote[2427].end 24084.62159375
transcript.pyannote[2428].speaker SPEAKER_03
transcript.pyannote[2428].start 24084.84096875
transcript.pyannote[2428].end 24084.89159375
transcript.pyannote[2429].speaker SPEAKER_30
transcript.pyannote[2429].start 24084.89159375
transcript.pyannote[2429].end 24084.97596875
transcript.pyannote[2430].speaker SPEAKER_03
transcript.pyannote[2430].start 24084.97596875
transcript.pyannote[2430].end 24084.99284375
transcript.pyannote[2431].speaker SPEAKER_30
transcript.pyannote[2431].start 24084.99284375
transcript.pyannote[2431].end 24085.02659375
transcript.pyannote[2432].speaker SPEAKER_03
transcript.pyannote[2432].start 24085.02659375
transcript.pyannote[2432].end 24085.87034375
transcript.pyannote[2433].speaker SPEAKER_30
transcript.pyannote[2433].start 24085.87034375
transcript.pyannote[2433].end 24085.88721875
transcript.pyannote[2434].speaker SPEAKER_03
transcript.pyannote[2434].start 24086.84909375
transcript.pyannote[2434].end 24088.99221875
transcript.pyannote[2435].speaker SPEAKER_03
transcript.pyannote[2435].start 24089.65034375
transcript.pyannote[2435].end 24091.40534375
transcript.pyannote[2436].speaker SPEAKER_03
transcript.pyannote[2436].start 24091.91159375
transcript.pyannote[2436].end 24092.46846875
transcript.pyannote[2437].speaker SPEAKER_03
transcript.pyannote[2437].start 24094.15596875
transcript.pyannote[2437].end 24095.03346875
transcript.pyannote[2438].speaker SPEAKER_03
transcript.pyannote[2438].start 24095.10096875
transcript.pyannote[2438].end 24097.46346875
transcript.pyannote[2439].speaker SPEAKER_03
transcript.pyannote[2439].start 24097.91909375
transcript.pyannote[2439].end 24098.59409375
transcript.pyannote[2440].speaker SPEAKER_03
transcript.pyannote[2440].start 24098.81346875
transcript.pyannote[2440].end 24104.33159375
transcript.pyannote[2441].speaker SPEAKER_03
transcript.pyannote[2441].start 24105.12471875
transcript.pyannote[2441].end 24109.57971875
transcript.pyannote[2442].speaker SPEAKER_03
transcript.pyannote[2442].start 24110.22096875
transcript.pyannote[2442].end 24114.25409375
transcript.pyannote[2443].speaker SPEAKER_03
transcript.pyannote[2443].start 24114.89534375
transcript.pyannote[2443].end 24121.13909375
transcript.pyannote[2444].speaker SPEAKER_03
transcript.pyannote[2444].start 24729.06096875
transcript.pyannote[2444].end 24732.82409375
transcript.pyannote[2445].speaker SPEAKER_03
transcript.pyannote[2445].start 24733.51596875
transcript.pyannote[2445].end 24737.11034375
transcript.pyannote[2446].speaker SPEAKER_03
transcript.pyannote[2446].start 24737.31284375
transcript.pyannote[2446].end 24744.56909375
transcript.pyannote[2447].speaker SPEAKER_03
transcript.pyannote[2447].start 24765.57846875
transcript.pyannote[2447].end 24766.20284375
transcript.pyannote[2448].speaker SPEAKER_03
transcript.pyannote[2448].start 24766.45596875
transcript.pyannote[2448].end 24766.75971875
transcript.pyannote[2449].speaker SPEAKER_14
transcript.pyannote[2449].start 24766.75971875
transcript.pyannote[2449].end 24767.68784375
transcript.pyannote[2450].speaker SPEAKER_03
transcript.pyannote[2450].start 24767.68784375
transcript.pyannote[2450].end 24767.75534375
transcript.pyannote[2451].speaker SPEAKER_03
transcript.pyannote[2451].start 24767.89034375
transcript.pyannote[2451].end 24769.34159375
transcript.pyannote[2452].speaker SPEAKER_14
transcript.pyannote[2452].start 24774.99471875
transcript.pyannote[2452].end 24777.22221875
transcript.pyannote[2453].speaker SPEAKER_14
transcript.pyannote[2453].start 24777.84659375
transcript.pyannote[2453].end 24780.52971875
transcript.pyannote[2454].speaker SPEAKER_14
transcript.pyannote[2454].start 24780.95159375
transcript.pyannote[2454].end 24782.80784375
transcript.pyannote[2455].speaker SPEAKER_30
transcript.pyannote[2455].start 24783.22971875
transcript.pyannote[2455].end 24783.98909375
transcript.pyannote[2456].speaker SPEAKER_14
transcript.pyannote[2456].start 24784.51221875
transcript.pyannote[2456].end 24790.99221875
transcript.pyannote[2457].speaker SPEAKER_30
transcript.pyannote[2457].start 24785.06909375
transcript.pyannote[2457].end 24785.38971875
transcript.pyannote[2458].speaker SPEAKER_30
transcript.pyannote[2458].start 24786.75659375
transcript.pyannote[2458].end 24789.05159375
transcript.pyannote[2459].speaker SPEAKER_14
transcript.pyannote[2459].start 24791.38034375
transcript.pyannote[2459].end 24794.02971875
transcript.pyannote[2460].speaker SPEAKER_14
transcript.pyannote[2460].start 24794.19846875
transcript.pyannote[2460].end 24797.05034375
transcript.pyannote[2461].speaker SPEAKER_14
transcript.pyannote[2461].start 24797.38784375
transcript.pyannote[2461].end 24800.76284375
transcript.pyannote[2462].speaker SPEAKER_14
transcript.pyannote[2462].start 24801.21846875
transcript.pyannote[2462].end 24803.14221875
transcript.pyannote[2463].speaker SPEAKER_14
transcript.pyannote[2463].start 24803.59784375
transcript.pyannote[2463].end 24804.66096875
transcript.pyannote[2464].speaker SPEAKER_14
transcript.pyannote[2464].start 24804.89721875
transcript.pyannote[2464].end 24807.63096875
transcript.pyannote[2465].speaker SPEAKER_14
transcript.pyannote[2465].start 24808.10346875
transcript.pyannote[2465].end 24808.62659375
transcript.pyannote[2466].speaker SPEAKER_14
transcript.pyannote[2466].start 24808.89659375
transcript.pyannote[2466].end 24812.60909375
transcript.pyannote[2467].speaker SPEAKER_14
transcript.pyannote[2467].start 24813.38534375
transcript.pyannote[2467].end 24814.38096875
transcript.pyannote[2468].speaker SPEAKER_14
transcript.pyannote[2468].start 24814.61721875
transcript.pyannote[2468].end 24815.83221875
transcript.pyannote[2469].speaker SPEAKER_14
transcript.pyannote[2469].start 24816.47346875
transcript.pyannote[2469].end 24819.57846875
transcript.pyannote[2470].speaker SPEAKER_30
transcript.pyannote[2470].start 24819.57846875
transcript.pyannote[2470].end 24819.62909375
transcript.pyannote[2471].speaker SPEAKER_30
transcript.pyannote[2471].start 24820.13534375
transcript.pyannote[2471].end 24840.95909375
transcript.pyannote[2472].speaker SPEAKER_14
transcript.pyannote[2472].start 24839.76096875
transcript.pyannote[2472].end 24846.29159375
transcript.pyannote[2473].speaker SPEAKER_30
transcript.pyannote[2473].start 24842.83221875
transcript.pyannote[2473].end 24843.42284375
transcript.pyannote[2474].speaker SPEAKER_14
transcript.pyannote[2474].start 24846.94971875
transcript.pyannote[2474].end 24847.23659375
transcript.pyannote[2475].speaker SPEAKER_27
transcript.pyannote[2475].start 24847.64159375
transcript.pyannote[2475].end 24850.03784375
transcript.pyannote[2476].speaker SPEAKER_14
transcript.pyannote[2476].start 24848.60346875
transcript.pyannote[2476].end 24850.07159375
transcript.pyannote[2477].speaker SPEAKER_27
transcript.pyannote[2477].start 24850.07159375
transcript.pyannote[2477].end 24850.12221875
transcript.pyannote[2478].speaker SPEAKER_14
transcript.pyannote[2478].start 24850.12221875
transcript.pyannote[2478].end 24850.13909375
transcript.pyannote[2479].speaker SPEAKER_27
transcript.pyannote[2479].start 24850.13909375
transcript.pyannote[2479].end 24850.18971875
transcript.pyannote[2480].speaker SPEAKER_14
transcript.pyannote[2480].start 24850.86471875
transcript.pyannote[2480].end 24851.53971875
transcript.pyannote[2481].speaker SPEAKER_14
transcript.pyannote[2481].start 24851.84346875
transcript.pyannote[2481].end 24854.89784375
transcript.pyannote[2482].speaker SPEAKER_27
transcript.pyannote[2482].start 24855.23534375
transcript.pyannote[2482].end 24857.17596875
transcript.pyannote[2483].speaker SPEAKER_14
transcript.pyannote[2483].start 24857.17596875
transcript.pyannote[2483].end 24860.80409375
transcript.pyannote[2484].speaker SPEAKER_27
transcript.pyannote[2484].start 24861.34409375
transcript.pyannote[2484].end 24864.75284375
transcript.pyannote[2485].speaker SPEAKER_14
transcript.pyannote[2485].start 24863.40284375
transcript.pyannote[2485].end 24863.65596875
transcript.pyannote[2486].speaker SPEAKER_27
transcript.pyannote[2486].start 24865.02284375
transcript.pyannote[2486].end 24867.72284375
transcript.pyannote[2487].speaker SPEAKER_27
transcript.pyannote[2487].start 24868.04346875
transcript.pyannote[2487].end 24872.68409375
transcript.pyannote[2488].speaker SPEAKER_27
transcript.pyannote[2488].start 24872.73471875
transcript.pyannote[2488].end 24875.21534375
transcript.pyannote[2489].speaker SPEAKER_27
transcript.pyannote[2489].start 24875.33346875
transcript.pyannote[2489].end 24877.61159375
transcript.pyannote[2490].speaker SPEAKER_27
transcript.pyannote[2490].start 24877.86471875
transcript.pyannote[2490].end 24878.32034375
transcript.pyannote[2491].speaker SPEAKER_27
transcript.pyannote[2491].start 24878.55659375
transcript.pyannote[2491].end 24892.52909375
transcript.pyannote[2492].speaker SPEAKER_00
transcript.pyannote[2492].start 24887.50034375
transcript.pyannote[2492].end 24887.70284375
transcript.pyannote[2493].speaker SPEAKER_14
transcript.pyannote[2493].start 24888.44534375
transcript.pyannote[2493].end 24889.89659375
transcript.pyannote[2494].speaker SPEAKER_14
transcript.pyannote[2494].start 24890.26784375
transcript.pyannote[2494].end 24890.45346875
transcript.pyannote[2495].speaker SPEAKER_14
transcript.pyannote[2495].start 24891.09471875
transcript.pyannote[2495].end 24895.11096875
transcript.pyannote[2496].speaker SPEAKER_14
transcript.pyannote[2496].start 24895.46534375
transcript.pyannote[2496].end 24899.53221875
transcript.pyannote[2497].speaker SPEAKER_27
transcript.pyannote[2497].start 24898.35096875
transcript.pyannote[2497].end 24898.78971875
transcript.pyannote[2498].speaker SPEAKER_27
transcript.pyannote[2498].start 24900.12284375
transcript.pyannote[2498].end 24902.63721875
transcript.pyannote[2499].speaker SPEAKER_14
transcript.pyannote[2499].start 24901.82721875
transcript.pyannote[2499].end 24903.80159375
transcript.pyannote[2500].speaker SPEAKER_27
transcript.pyannote[2500].start 24904.17284375
transcript.pyannote[2500].end 24906.45096875
transcript.pyannote[2501].speaker SPEAKER_14
transcript.pyannote[2501].start 24905.97846875
transcript.pyannote[2501].end 24909.79221875
transcript.pyannote[2502].speaker SPEAKER_27
transcript.pyannote[2502].start 24909.79221875
transcript.pyannote[2502].end 24909.99471875
transcript.pyannote[2503].speaker SPEAKER_14
transcript.pyannote[2503].start 24909.99471875
transcript.pyannote[2503].end 24910.11284375
transcript.pyannote[2504].speaker SPEAKER_14
transcript.pyannote[2504].start 24910.80471875
transcript.pyannote[2504].end 24914.77034375
transcript.pyannote[2505].speaker SPEAKER_27
transcript.pyannote[2505].start 24916.35659375
transcript.pyannote[2505].end 24926.12721875
transcript.pyannote[2506].speaker SPEAKER_27
transcript.pyannote[2506].start 24926.39721875
transcript.pyannote[2506].end 24927.00471875
transcript.pyannote[2507].speaker SPEAKER_27
transcript.pyannote[2507].start 24927.51096875
transcript.pyannote[2507].end 24930.27846875
transcript.pyannote[2508].speaker SPEAKER_27
transcript.pyannote[2508].start 24930.51471875
transcript.pyannote[2508].end 24935.40846875
transcript.pyannote[2509].speaker SPEAKER_14
transcript.pyannote[2509].start 24932.53971875
transcript.pyannote[2509].end 24943.57596875
transcript.pyannote[2510].speaker SPEAKER_14
transcript.pyannote[2510].start 24943.62659375
transcript.pyannote[2510].end 24949.58346875
transcript.pyannote[2511].speaker SPEAKER_00
transcript.pyannote[2511].start 24947.62596875
transcript.pyannote[2511].end 24948.19971875
transcript.pyannote[2512].speaker SPEAKER_14
transcript.pyannote[2512].start 24949.70159375
transcript.pyannote[2512].end 24957.29534375
transcript.pyannote[2513].speaker SPEAKER_14
transcript.pyannote[2513].start 24957.61596875
transcript.pyannote[2513].end 24960.13034375
transcript.pyannote[2514].speaker SPEAKER_27
transcript.pyannote[2514].start 24959.25284375
transcript.pyannote[2514].end 24960.19784375
transcript.pyannote[2515].speaker SPEAKER_27
transcript.pyannote[2515].start 24960.23159375
transcript.pyannote[2515].end 24962.52659375
transcript.pyannote[2516].speaker SPEAKER_14
transcript.pyannote[2516].start 24962.23971875
transcript.pyannote[2516].end 24962.64471875
transcript.pyannote[2517].speaker SPEAKER_27
transcript.pyannote[2517].start 24962.64471875
transcript.pyannote[2517].end 24963.94409375
transcript.pyannote[2518].speaker SPEAKER_27
transcript.pyannote[2518].start 24964.21409375
transcript.pyannote[2518].end 24966.59346875
transcript.pyannote[2519].speaker SPEAKER_27
transcript.pyannote[2519].start 24966.99846875
transcript.pyannote[2519].end 24968.26409375
transcript.pyannote[2520].speaker SPEAKER_14
transcript.pyannote[2520].start 24968.26409375
transcript.pyannote[2520].end 24978.42284375
transcript.pyannote[2521].speaker SPEAKER_01
transcript.pyannote[2521].start 24974.40659375
transcript.pyannote[2521].end 24977.19096875
transcript.pyannote[2522].speaker SPEAKER_14
transcript.pyannote[2522].start 24978.92909375
transcript.pyannote[2522].end 24988.80096875
transcript.pyannote[2523].speaker SPEAKER_14
transcript.pyannote[2523].start 24989.10471875
transcript.pyannote[2523].end 24996.39471875
transcript.pyannote[2524].speaker SPEAKER_11
transcript.pyannote[2524].start 24989.25659375
transcript.pyannote[2524].end 24989.27346875
transcript.pyannote[2525].speaker SPEAKER_15
transcript.pyannote[2525].start 24989.27346875
transcript.pyannote[2525].end 24989.89784375
transcript.pyannote[2526].speaker SPEAKER_14
transcript.pyannote[2526].start 24996.61409375
transcript.pyannote[2526].end 25003.41471875
transcript.pyannote[2527].speaker SPEAKER_14
transcript.pyannote[2527].start 25003.70159375
transcript.pyannote[2527].end 25007.17784375
transcript.pyannote[2528].speaker SPEAKER_14
transcript.pyannote[2528].start 25007.32971875
transcript.pyannote[2528].end 25012.86471875
transcript.pyannote[2529].speaker SPEAKER_14
transcript.pyannote[2529].start 25013.32034375
transcript.pyannote[2529].end 25023.64784375
transcript.pyannote[2530].speaker SPEAKER_27
transcript.pyannote[2530].start 25023.32721875
transcript.pyannote[2530].end 25028.06909375
transcript.pyannote[2531].speaker SPEAKER_27
transcript.pyannote[2531].start 25028.33909375
transcript.pyannote[2531].end 25030.49909375
transcript.pyannote[2532].speaker SPEAKER_27
transcript.pyannote[2532].start 25030.73534375
transcript.pyannote[2532].end 25034.41409375
transcript.pyannote[2533].speaker SPEAKER_27
transcript.pyannote[2533].start 25034.49846875
transcript.pyannote[2533].end 25035.56159375
transcript.pyannote[2534].speaker SPEAKER_27
transcript.pyannote[2534].start 25035.86534375
transcript.pyannote[2534].end 25037.53596875
transcript.pyannote[2535].speaker SPEAKER_27
transcript.pyannote[2535].start 25038.02534375
transcript.pyannote[2535].end 25045.02846875
transcript.pyannote[2536].speaker SPEAKER_14
transcript.pyannote[2536].start 25044.79221875
transcript.pyannote[2536].end 25049.46659375
transcript.pyannote[2537].speaker SPEAKER_14
transcript.pyannote[2537].start 25051.05284375
transcript.pyannote[2537].end 25059.01784375
transcript.pyannote[2538].speaker SPEAKER_28
transcript.pyannote[2538].start 25053.36471875
transcript.pyannote[2538].end 25053.38159375
transcript.pyannote[2539].speaker SPEAKER_30
transcript.pyannote[2539].start 25053.38159375
transcript.pyannote[2539].end 25054.02284375
transcript.pyannote[2540].speaker SPEAKER_01
transcript.pyannote[2540].start 25054.02284375
transcript.pyannote[2540].end 25059.18659375
transcript.pyannote[2541].speaker SPEAKER_14
transcript.pyannote[2541].start 25059.50721875
transcript.pyannote[2541].end 25066.98284375
transcript.pyannote[2542].speaker SPEAKER_01
transcript.pyannote[2542].start 25063.38846875
transcript.pyannote[2542].end 25063.50659375
transcript.pyannote[2543].speaker SPEAKER_27
transcript.pyannote[2543].start 25063.50659375
transcript.pyannote[2543].end 25063.55721875
transcript.pyannote[2544].speaker SPEAKER_01
transcript.pyannote[2544].start 25063.55721875
transcript.pyannote[2544].end 25064.09721875
transcript.pyannote[2545].speaker SPEAKER_27
transcript.pyannote[2545].start 25064.09721875
transcript.pyannote[2545].end 25064.18159375
transcript.pyannote[2546].speaker SPEAKER_27
transcript.pyannote[2546].start 25067.26971875
transcript.pyannote[2546].end 25071.47159375
transcript.pyannote[2547].speaker SPEAKER_14
transcript.pyannote[2547].start 25069.83471875
transcript.pyannote[2547].end 25069.88534375
transcript.pyannote[2548].speaker SPEAKER_30
transcript.pyannote[2548].start 25069.88534375
transcript.pyannote[2548].end 25070.15534375
transcript.pyannote[2549].speaker SPEAKER_30
transcript.pyannote[2549].start 25071.77534375
transcript.pyannote[2549].end 25076.17971875
transcript.pyannote[2550].speaker SPEAKER_27
transcript.pyannote[2550].start 25072.06221875
transcript.pyannote[2550].end 25072.50096875
transcript.pyannote[2551].speaker SPEAKER_30
transcript.pyannote[2551].start 25076.29784375
transcript.pyannote[2551].end 25103.66909375
transcript.pyannote[2552].speaker SPEAKER_00
transcript.pyannote[2552].start 25086.70971875
transcript.pyannote[2552].end 25086.76034375
transcript.pyannote[2553].speaker SPEAKER_01
transcript.pyannote[2553].start 25086.76034375
transcript.pyannote[2553].end 25087.18221875
transcript.pyannote[2554].speaker SPEAKER_27
transcript.pyannote[2554].start 25098.13409375
transcript.pyannote[2554].end 25098.18471875
transcript.pyannote[2555].speaker SPEAKER_27
transcript.pyannote[2555].start 25101.72846875
transcript.pyannote[2555].end 25110.60471875
transcript.pyannote[2556].speaker SPEAKER_30
transcript.pyannote[2556].start 25103.87159375
transcript.pyannote[2556].end 25103.88846875
transcript.pyannote[2557].speaker SPEAKER_01
transcript.pyannote[2557].start 25103.88846875
transcript.pyannote[2557].end 25104.34409375
transcript.pyannote[2558].speaker SPEAKER_14
transcript.pyannote[2558].start 25104.34409375
transcript.pyannote[2558].end 25104.39471875
transcript.pyannote[2559].speaker SPEAKER_14
transcript.pyannote[2559].start 25104.52971875
transcript.pyannote[2559].end 25104.66471875
transcript.pyannote[2560].speaker SPEAKER_30
transcript.pyannote[2560].start 25104.66471875
transcript.pyannote[2560].end 25104.71534375
transcript.pyannote[2561].speaker SPEAKER_30
transcript.pyannote[2561].start 25107.58409375
transcript.pyannote[2561].end 25107.63471875
transcript.pyannote[2562].speaker SPEAKER_14
transcript.pyannote[2562].start 25107.63471875
transcript.pyannote[2562].end 25109.33909375
transcript.pyannote[2563].speaker SPEAKER_14
transcript.pyannote[2563].start 25109.86221875
transcript.pyannote[2563].end 25115.16096875
transcript.pyannote[2564].speaker SPEAKER_14
transcript.pyannote[2564].start 25115.73471875
transcript.pyannote[2564].end 25118.33346875
transcript.pyannote[2565].speaker SPEAKER_27
transcript.pyannote[2565].start 25117.03409375
transcript.pyannote[2565].end 25122.46784375
transcript.pyannote[2566].speaker SPEAKER_14
transcript.pyannote[2566].start 25120.17284375
transcript.pyannote[2566].end 25127.78346875
transcript.pyannote[2567].speaker SPEAKER_01
transcript.pyannote[2567].start 25122.46784375
transcript.pyannote[2567].end 25122.53534375
transcript.pyannote[2568].speaker SPEAKER_27
transcript.pyannote[2568].start 25122.97409375
transcript.pyannote[2568].end 25123.02471875
transcript.pyannote[2569].speaker SPEAKER_01
transcript.pyannote[2569].start 25123.02471875
transcript.pyannote[2569].end 25123.04159375
transcript.pyannote[2570].speaker SPEAKER_27
transcript.pyannote[2570].start 25123.04159375
transcript.pyannote[2570].end 25123.37909375
transcript.pyannote[2571].speaker SPEAKER_01
transcript.pyannote[2571].start 25123.37909375
transcript.pyannote[2571].end 25123.51409375
transcript.pyannote[2572].speaker SPEAKER_14
transcript.pyannote[2572].start 25128.25596875
transcript.pyannote[2572].end 25128.91409375
transcript.pyannote[2573].speaker SPEAKER_14
transcript.pyannote[2573].start 25129.28534375
transcript.pyannote[2573].end 25132.01909375
transcript.pyannote[2574].speaker SPEAKER_14
transcript.pyannote[2574].start 25132.32284375
transcript.pyannote[2574].end 25132.79534375
transcript.pyannote[2575].speaker SPEAKER_14
transcript.pyannote[2575].start 25133.72346875
transcript.pyannote[2575].end 25140.01784375
transcript.pyannote[2576].speaker SPEAKER_14
transcript.pyannote[2576].start 25140.22034375
transcript.pyannote[2576].end 25141.62096875
transcript.pyannote[2577].speaker SPEAKER_14
transcript.pyannote[2577].start 25141.82346875
transcript.pyannote[2577].end 25142.02596875
transcript.pyannote[2578].speaker SPEAKER_30
transcript.pyannote[2578].start 25142.02596875
transcript.pyannote[2578].end 25143.93284375
transcript.pyannote[2579].speaker SPEAKER_30
transcript.pyannote[2579].start 25144.42221875
transcript.pyannote[2579].end 25146.22784375
transcript.pyannote[2580].speaker SPEAKER_30
transcript.pyannote[2580].start 25146.26159375
transcript.pyannote[2580].end 25147.74659375
transcript.pyannote[2581].speaker SPEAKER_30
transcript.pyannote[2581].start 25147.88159375
transcript.pyannote[2581].end 25148.91096875
transcript.pyannote[2582].speaker SPEAKER_30
transcript.pyannote[2582].start 25149.23159375
transcript.pyannote[2582].end 25161.95534375
transcript.pyannote[2583].speaker SPEAKER_01
transcript.pyannote[2583].start 25160.77409375
transcript.pyannote[2583].end 25161.07784375
transcript.pyannote[2584].speaker SPEAKER_14
transcript.pyannote[2584].start 25161.63471875
transcript.pyannote[2584].end 25168.40159375
transcript.pyannote[2585].speaker SPEAKER_14
transcript.pyannote[2585].start 25168.67159375
transcript.pyannote[2585].end 25175.53971875
transcript.pyannote[2586].speaker SPEAKER_14
transcript.pyannote[2586].start 25175.62409375
transcript.pyannote[2586].end 25180.02846875
transcript.pyannote[2587].speaker SPEAKER_27
transcript.pyannote[2587].start 25178.54346875
transcript.pyannote[2587].end 25183.47096875
transcript.pyannote[2588].speaker SPEAKER_30
transcript.pyannote[2588].start 25182.47534375
transcript.pyannote[2588].end 25182.61034375
transcript.pyannote[2589].speaker SPEAKER_14
transcript.pyannote[2589].start 25182.61034375
transcript.pyannote[2589].end 25182.66096875
transcript.pyannote[2590].speaker SPEAKER_30
transcript.pyannote[2590].start 25183.15034375
transcript.pyannote[2590].end 25183.31909375
transcript.pyannote[2591].speaker SPEAKER_30
transcript.pyannote[2591].start 25183.45409375
transcript.pyannote[2591].end 25188.98909375
transcript.pyannote[2592].speaker SPEAKER_30
transcript.pyannote[2592].start 25189.19159375
transcript.pyannote[2592].end 25201.66221875
transcript.pyannote[2593].speaker SPEAKER_14
transcript.pyannote[2593].start 25199.63721875
transcript.pyannote[2593].end 25203.72096875
transcript.pyannote[2594].speaker SPEAKER_14
transcript.pyannote[2594].start 25203.95721875
transcript.pyannote[2594].end 25227.27846875
transcript.pyannote[2595].speaker SPEAKER_00
transcript.pyannote[2595].start 25217.01846875
transcript.pyannote[2595].end 25218.03096875
transcript.pyannote[2596].speaker SPEAKER_27
transcript.pyannote[2596].start 25218.03096875
transcript.pyannote[2596].end 25218.45284375
transcript.pyannote[2597].speaker SPEAKER_00
transcript.pyannote[2597].start 25220.57909375
transcript.pyannote[2597].end 25220.62971875
transcript.pyannote[2598].speaker SPEAKER_27
transcript.pyannote[2598].start 25220.62971875
transcript.pyannote[2598].end 25220.78159375
transcript.pyannote[2599].speaker SPEAKER_01
transcript.pyannote[2599].start 25220.78159375
transcript.pyannote[2599].end 25220.81534375
transcript.pyannote[2600].speaker SPEAKER_27
transcript.pyannote[2600].start 25224.39284375
transcript.pyannote[2600].end 25225.11846875
transcript.pyannote[2601].speaker SPEAKER_27
transcript.pyannote[2601].start 25226.31659375
transcript.pyannote[2601].end 25235.39534375
transcript.pyannote[2602].speaker SPEAKER_27
transcript.pyannote[2602].start 25235.83409375
transcript.pyannote[2602].end 25237.87596875
transcript.pyannote[2603].speaker SPEAKER_14
transcript.pyannote[2603].start 25238.23034375
transcript.pyannote[2603].end 25251.08909375
transcript.pyannote[2604].speaker SPEAKER_01
transcript.pyannote[2604].start 25239.58034375
transcript.pyannote[2604].end 25241.74034375
transcript.pyannote[2605].speaker SPEAKER_00
transcript.pyannote[2605].start 25249.77284375
transcript.pyannote[2605].end 25250.04284375
transcript.pyannote[2606].speaker SPEAKER_14
transcript.pyannote[2606].start 25251.78096875
transcript.pyannote[2606].end 25253.31659375
transcript.pyannote[2607].speaker SPEAKER_14
transcript.pyannote[2607].start 25253.83971875
transcript.pyannote[2607].end 25258.98659375
transcript.pyannote[2608].speaker SPEAKER_03
transcript.pyannote[2608].start 25260.48846875
transcript.pyannote[2608].end 25261.99034375
transcript.pyannote[2609].speaker SPEAKER_31
transcript.pyannote[2609].start 25265.31471875
transcript.pyannote[2609].end 25265.34846875
transcript.pyannote[2610].speaker SPEAKER_31
transcript.pyannote[2610].start 25266.90096875
transcript.pyannote[2610].end 25267.39034375
transcript.pyannote[2611].speaker SPEAKER_14
transcript.pyannote[2611].start 25267.40721875
transcript.pyannote[2611].end 25268.09909375
transcript.pyannote[2612].speaker SPEAKER_31
transcript.pyannote[2612].start 25268.08221875
transcript.pyannote[2612].end 25268.38596875
transcript.pyannote[2613].speaker SPEAKER_14
transcript.pyannote[2613].start 25268.65596875
transcript.pyannote[2613].end 25271.74409375
transcript.pyannote[2614].speaker SPEAKER_14
transcript.pyannote[2614].start 25272.08159375
transcript.pyannote[2614].end 25275.43971875
transcript.pyannote[2615].speaker SPEAKER_14
transcript.pyannote[2615].start 25276.03034375
transcript.pyannote[2615].end 25277.68409375
transcript.pyannote[2616].speaker SPEAKER_14
transcript.pyannote[2616].start 25278.12284375
transcript.pyannote[2616].end 25279.97909375
transcript.pyannote[2617].speaker SPEAKER_14
transcript.pyannote[2617].start 25280.35034375
transcript.pyannote[2617].end 25282.29096875
transcript.pyannote[2618].speaker SPEAKER_14
transcript.pyannote[2618].start 25282.86471875
transcript.pyannote[2618].end 25283.35409375
transcript.pyannote[2619].speaker SPEAKER_14
transcript.pyannote[2619].start 25283.70846875
transcript.pyannote[2619].end 25287.97784375
transcript.pyannote[2620].speaker SPEAKER_14
transcript.pyannote[2620].start 25288.46721875
transcript.pyannote[2620].end 25288.95659375
transcript.pyannote[2621].speaker SPEAKER_14
transcript.pyannote[2621].start 25289.19284375
transcript.pyannote[2621].end 25290.01971875
transcript.pyannote[2622].speaker SPEAKER_30
transcript.pyannote[2622].start 25290.25596875
transcript.pyannote[2622].end 25290.96471875
transcript.pyannote[2623].speaker SPEAKER_14
transcript.pyannote[2623].start 25290.96471875
transcript.pyannote[2623].end 25295.03159375
transcript.pyannote[2624].speaker SPEAKER_30
transcript.pyannote[2624].start 25292.09534375
transcript.pyannote[2624].end 25292.28096875
transcript.pyannote[2625].speaker SPEAKER_14
transcript.pyannote[2625].start 25295.20034375
transcript.pyannote[2625].end 25295.25096875
transcript.pyannote[2626].speaker SPEAKER_07
transcript.pyannote[2626].start 25295.25096875
transcript.pyannote[2626].end 25315.99034375
transcript.pyannote[2627].speaker SPEAKER_14
transcript.pyannote[2627].start 25314.30284375
transcript.pyannote[2627].end 25323.11159375
transcript.pyannote[2628].speaker SPEAKER_07
transcript.pyannote[2628].start 25316.83409375
transcript.pyannote[2628].end 25317.37409375
transcript.pyannote[2629].speaker SPEAKER_30
transcript.pyannote[2629].start 25323.49971875
transcript.pyannote[2629].end 25323.83721875
transcript.pyannote[2630].speaker SPEAKER_30
transcript.pyannote[2630].start 25324.19159375
transcript.pyannote[2630].end 25324.84971875
transcript.pyannote[2631].speaker SPEAKER_14
transcript.pyannote[2631].start 25324.84971875
transcript.pyannote[2631].end 25326.40221875
transcript.pyannote[2632].speaker SPEAKER_14
transcript.pyannote[2632].start 25327.70159375
transcript.pyannote[2632].end 25327.97159375
transcript.pyannote[2633].speaker SPEAKER_14
transcript.pyannote[2633].start 25328.37659375
transcript.pyannote[2633].end 25330.43534375
transcript.pyannote[2634].speaker SPEAKER_14
transcript.pyannote[2634].start 25331.17784375
transcript.pyannote[2634].end 25333.54034375
transcript.pyannote[2635].speaker SPEAKER_14
transcript.pyannote[2635].start 25334.24909375
transcript.pyannote[2635].end 25335.39659375
transcript.pyannote[2636].speaker SPEAKER_14
transcript.pyannote[2636].start 25335.68346875
transcript.pyannote[2636].end 25337.67471875
transcript.pyannote[2637].speaker SPEAKER_14
transcript.pyannote[2637].start 25338.04596875
transcript.pyannote[2637].end 25338.70409375
transcript.pyannote[2638].speaker SPEAKER_07
transcript.pyannote[2638].start 25339.24409375
transcript.pyannote[2638].end 25350.98909375
transcript.pyannote[2639].speaker SPEAKER_07
transcript.pyannote[2639].start 25351.02284375
transcript.pyannote[2639].end 25353.06471875
transcript.pyannote[2640].speaker SPEAKER_07
transcript.pyannote[2640].start 25353.23346875
transcript.pyannote[2640].end 25360.70909375
transcript.pyannote[2641].speaker SPEAKER_14
transcript.pyannote[2641].start 25360.16909375
transcript.pyannote[2641].end 25370.80034375
transcript.pyannote[2642].speaker SPEAKER_07
transcript.pyannote[2642].start 25360.81034375
transcript.pyannote[2642].end 25361.80596875
transcript.pyannote[2643].speaker SPEAKER_07
transcript.pyannote[2643].start 25364.08409375
transcript.pyannote[2643].end 25364.57346875
transcript.pyannote[2644].speaker SPEAKER_07
transcript.pyannote[2644].start 25366.14284375
transcript.pyannote[2644].end 25366.59846875
transcript.pyannote[2645].speaker SPEAKER_12
transcript.pyannote[2645].start 25366.59846875
transcript.pyannote[2645].end 25366.61534375
transcript.pyannote[2646].speaker SPEAKER_14
transcript.pyannote[2646].start 25371.05346875
transcript.pyannote[2646].end 25376.75721875
transcript.pyannote[2647].speaker SPEAKER_14
transcript.pyannote[2647].start 25377.17909375
transcript.pyannote[2647].end 25378.20846875
transcript.pyannote[2648].speaker SPEAKER_14
transcript.pyannote[2648].start 25378.66409375
transcript.pyannote[2648].end 25380.75659375
transcript.pyannote[2649].speaker SPEAKER_14
transcript.pyannote[2649].start 25380.99284375
transcript.pyannote[2649].end 25383.11909375
transcript.pyannote[2650].speaker SPEAKER_14
transcript.pyannote[2650].start 25383.32159375
transcript.pyannote[2650].end 25386.84846875
transcript.pyannote[2651].speaker SPEAKER_14
transcript.pyannote[2651].start 25387.47284375
transcript.pyannote[2651].end 25388.55284375
transcript.pyannote[2652].speaker SPEAKER_14
transcript.pyannote[2652].start 25388.94096875
transcript.pyannote[2652].end 25390.05471875
transcript.pyannote[2653].speaker SPEAKER_14
transcript.pyannote[2653].start 25390.89846875
transcript.pyannote[2653].end 25393.21034375
transcript.pyannote[2654].speaker SPEAKER_14
transcript.pyannote[2654].start 25393.80096875
transcript.pyannote[2654].end 25396.21409375
transcript.pyannote[2655].speaker SPEAKER_14
transcript.pyannote[2655].start 25396.51784375
transcript.pyannote[2655].end 25398.86346875
transcript.pyannote[2656].speaker SPEAKER_14
transcript.pyannote[2656].start 25399.28534375
transcript.pyannote[2656].end 25405.46159375
transcript.pyannote[2657].speaker SPEAKER_14
transcript.pyannote[2657].start 25405.73159375
transcript.pyannote[2657].end 25406.30534375
transcript.pyannote[2658].speaker SPEAKER_07
transcript.pyannote[2658].start 25406.74409375
transcript.pyannote[2658].end 25414.67534375
transcript.pyannote[2659].speaker SPEAKER_14
transcript.pyannote[2659].start 25414.67534375
transcript.pyannote[2659].end 25428.09096875
transcript.pyannote[2660].speaker SPEAKER_14
transcript.pyannote[2660].start 25428.34409375
transcript.pyannote[2660].end 25430.92596875
transcript.pyannote[2661].speaker SPEAKER_14
transcript.pyannote[2661].start 25431.09471875
transcript.pyannote[2661].end 25433.72721875
transcript.pyannote[2662].speaker SPEAKER_14
transcript.pyannote[2662].start 25434.60471875
transcript.pyannote[2662].end 25437.28784375
transcript.pyannote[2663].speaker SPEAKER_14
transcript.pyannote[2663].start 25437.65909375
transcript.pyannote[2663].end 25438.53659375
transcript.pyannote[2664].speaker SPEAKER_14
transcript.pyannote[2664].start 25438.97534375
transcript.pyannote[2664].end 25439.65034375
transcript.pyannote[2665].speaker SPEAKER_14
transcript.pyannote[2665].start 25439.71784375
transcript.pyannote[2665].end 25443.71721875
transcript.pyannote[2666].speaker SPEAKER_07
transcript.pyannote[2666].start 25444.37534375
transcript.pyannote[2666].end 25474.10909375
transcript.pyannote[2667].speaker SPEAKER_14
transcript.pyannote[2667].start 25474.48034375
transcript.pyannote[2667].end 25486.64721875
transcript.pyannote[2668].speaker SPEAKER_14
transcript.pyannote[2668].start 25487.13659375
transcript.pyannote[2668].end 25493.34659375
transcript.pyannote[2669].speaker SPEAKER_14
transcript.pyannote[2669].start 25493.66721875
transcript.pyannote[2669].end 25493.68409375
transcript.pyannote[2670].speaker SPEAKER_30
transcript.pyannote[2670].start 25493.68409375
transcript.pyannote[2670].end 25493.76846875
transcript.pyannote[2671].speaker SPEAKER_14
transcript.pyannote[2671].start 25493.76846875
transcript.pyannote[2671].end 25493.93721875
transcript.pyannote[2672].speaker SPEAKER_30
transcript.pyannote[2672].start 25493.93721875
transcript.pyannote[2672].end 25497.36284375
transcript.pyannote[2673].speaker SPEAKER_30
transcript.pyannote[2673].start 25497.58221875
transcript.pyannote[2673].end 25503.23534375
transcript.pyannote[2674].speaker SPEAKER_14
transcript.pyannote[2674].start 25498.02096875
transcript.pyannote[2674].end 25498.07159375
transcript.pyannote[2675].speaker SPEAKER_30
transcript.pyannote[2675].start 25503.43784375
transcript.pyannote[2675].end 25537.00221875
transcript.pyannote[2676].speaker SPEAKER_29
transcript.pyannote[2676].start 25533.08721875
transcript.pyannote[2676].end 25533.20534375
transcript.pyannote[2677].speaker SPEAKER_01
transcript.pyannote[2677].start 25533.20534375
transcript.pyannote[2677].end 25533.23909375
transcript.pyannote[2678].speaker SPEAKER_14
transcript.pyannote[2678].start 25533.23909375
transcript.pyannote[2678].end 25542.89159375
transcript.pyannote[2679].speaker SPEAKER_29
transcript.pyannote[2679].start 25539.51659375
transcript.pyannote[2679].end 25539.55034375
transcript.pyannote[2680].speaker SPEAKER_30
transcript.pyannote[2680].start 25539.55034375
transcript.pyannote[2680].end 25539.87096875
transcript.pyannote[2681].speaker SPEAKER_29
transcript.pyannote[2681].start 25539.87096875
transcript.pyannote[2681].end 25540.02284375
transcript.pyannote[2682].speaker SPEAKER_14
transcript.pyannote[2682].start 25543.19534375
transcript.pyannote[2682].end 25547.02596875
transcript.pyannote[2683].speaker SPEAKER_30
transcript.pyannote[2683].start 25547.02596875
transcript.pyannote[2683].end 25547.93721875
transcript.pyannote[2684].speaker SPEAKER_14
transcript.pyannote[2684].start 25548.59534375
transcript.pyannote[2684].end 25548.61221875
transcript.pyannote[2685].speaker SPEAKER_30
transcript.pyannote[2685].start 25548.61221875
transcript.pyannote[2685].end 25550.13096875
transcript.pyannote[2686].speaker SPEAKER_30
transcript.pyannote[2686].start 25550.35034375
transcript.pyannote[2686].end 25560.49221875
transcript.pyannote[2687].speaker SPEAKER_14
transcript.pyannote[2687].start 25559.78346875
transcript.pyannote[2687].end 25564.99784375
transcript.pyannote[2688].speaker SPEAKER_30
transcript.pyannote[2688].start 25560.57659375
transcript.pyannote[2688].end 25560.96471875
transcript.pyannote[2689].speaker SPEAKER_14
transcript.pyannote[2689].start 25565.36909375
transcript.pyannote[2689].end 25565.82471875
transcript.pyannote[2690].speaker SPEAKER_14
transcript.pyannote[2690].start 25566.28034375
transcript.pyannote[2690].end 25566.61784375
transcript.pyannote[2691].speaker SPEAKER_14
transcript.pyannote[2691].start 25567.14096875
transcript.pyannote[2691].end 25575.03846875
transcript.pyannote[2692].speaker SPEAKER_30
transcript.pyannote[2692].start 25575.03846875
transcript.pyannote[2692].end 25624.29659375
transcript.pyannote[2693].speaker SPEAKER_14
transcript.pyannote[2693].start 25575.35909375
transcript.pyannote[2693].end 25576.20284375
transcript.pyannote[2694].speaker SPEAKER_14
transcript.pyannote[2694].start 25609.98659375
transcript.pyannote[2694].end 25611.04971875
transcript.pyannote[2695].speaker SPEAKER_14
transcript.pyannote[2695].start 25623.50346875
transcript.pyannote[2695].end 25626.00096875
transcript.pyannote[2696].speaker SPEAKER_30
transcript.pyannote[2696].start 25626.27096875
transcript.pyannote[2696].end 25629.07221875
transcript.pyannote[2697].speaker SPEAKER_14
transcript.pyannote[2697].start 25629.07221875
transcript.pyannote[2697].end 25629.17346875
transcript.pyannote[2698].speaker SPEAKER_30
transcript.pyannote[2698].start 25629.17346875
transcript.pyannote[2698].end 25629.19034375
transcript.pyannote[2699].speaker SPEAKER_14
transcript.pyannote[2699].start 25629.19034375
transcript.pyannote[2699].end 25629.20721875
transcript.pyannote[2700].speaker SPEAKER_30
transcript.pyannote[2700].start 25629.20721875
transcript.pyannote[2700].end 25629.27471875
transcript.pyannote[2701].speaker SPEAKER_30
transcript.pyannote[2701].start 25629.61221875
transcript.pyannote[2701].end 25629.64596875
transcript.pyannote[2702].speaker SPEAKER_14
transcript.pyannote[2702].start 25629.64596875
transcript.pyannote[2702].end 25629.66284375
transcript.pyannote[2703].speaker SPEAKER_30
transcript.pyannote[2703].start 25629.66284375
transcript.pyannote[2703].end 25629.96659375
transcript.pyannote[2704].speaker SPEAKER_14
transcript.pyannote[2704].start 25629.96659375
transcript.pyannote[2704].end 25634.06721875
transcript.pyannote[2705].speaker SPEAKER_30
transcript.pyannote[2705].start 25633.49346875
transcript.pyannote[2705].end 25645.52534375
transcript.pyannote[2706].speaker SPEAKER_12
transcript.pyannote[2706].start 25646.62221875
transcript.pyannote[2706].end 25646.63909375
transcript.pyannote[2707].speaker SPEAKER_14
transcript.pyannote[2707].start 25646.63909375
transcript.pyannote[2707].end 25646.97659375
transcript.pyannote[2708].speaker SPEAKER_30
transcript.pyannote[2708].start 25647.46596875
transcript.pyannote[2708].end 25647.48284375
transcript.pyannote[2709].speaker SPEAKER_14
transcript.pyannote[2709].start 25647.48284375
transcript.pyannote[2709].end 25650.90846875
transcript.pyannote[2710].speaker SPEAKER_07
transcript.pyannote[2710].start 25651.22909375
transcript.pyannote[2710].end 25652.05596875
transcript.pyannote[2711].speaker SPEAKER_14
transcript.pyannote[2711].start 25651.68471875
transcript.pyannote[2711].end 25658.09721875
transcript.pyannote[2712].speaker SPEAKER_14
transcript.pyannote[2712].start 25658.70471875
transcript.pyannote[2712].end 25662.02909375
transcript.pyannote[2713].speaker SPEAKER_14
transcript.pyannote[2713].start 25662.63659375
transcript.pyannote[2713].end 25663.21034375
transcript.pyannote[2714].speaker SPEAKER_14
transcript.pyannote[2714].start 25663.41284375
transcript.pyannote[2714].end 25665.30284375
transcript.pyannote[2715].speaker SPEAKER_14
transcript.pyannote[2715].start 25666.02846875
transcript.pyannote[2715].end 25667.73284375
transcript.pyannote[2716].speaker SPEAKER_14
transcript.pyannote[2716].start 25668.10409375
transcript.pyannote[2716].end 25669.94346875
transcript.pyannote[2717].speaker SPEAKER_14
transcript.pyannote[2717].start 25670.17971875
transcript.pyannote[2717].end 25671.51284375
transcript.pyannote[2718].speaker SPEAKER_14
transcript.pyannote[2718].start 25672.23846875
transcript.pyannote[2718].end 25672.87971875
transcript.pyannote[2719].speaker SPEAKER_14
transcript.pyannote[2719].start 25673.48721875
transcript.pyannote[2719].end 25674.06096875
transcript.pyannote[2720].speaker SPEAKER_14
transcript.pyannote[2720].start 25674.24659375
transcript.pyannote[2720].end 25674.87096875
transcript.pyannote[2721].speaker SPEAKER_14
transcript.pyannote[2721].start 25675.12409375
transcript.pyannote[2721].end 25676.00159375
transcript.pyannote[2722].speaker SPEAKER_14
transcript.pyannote[2722].start 25676.77784375
transcript.pyannote[2722].end 25679.25846875
transcript.pyannote[2723].speaker SPEAKER_30
transcript.pyannote[2723].start 25679.56221875
transcript.pyannote[2723].end 25679.95034375
transcript.pyannote[2724].speaker SPEAKER_03
transcript.pyannote[2724].start 25689.82221875
transcript.pyannote[2724].end 25696.85909375
transcript.pyannote[2725].speaker SPEAKER_03
transcript.pyannote[2725].start 25697.21346875
transcript.pyannote[2725].end 25701.63471875
transcript.pyannote[2726].speaker SPEAKER_03
transcript.pyannote[2726].start 25716.18096875
transcript.pyannote[2726].end 25717.73346875
transcript.pyannote[2727].speaker SPEAKER_18
transcript.pyannote[2727].start 25717.91909375
transcript.pyannote[2727].end 25718.30721875
transcript.pyannote[2728].speaker SPEAKER_03
transcript.pyannote[2728].start 25718.66159375
transcript.pyannote[2728].end 25720.19721875
transcript.pyannote[2729].speaker SPEAKER_30
transcript.pyannote[2729].start 25726.08659375
transcript.pyannote[2729].end 25728.26346875
transcript.pyannote[2730].speaker SPEAKER_30
transcript.pyannote[2730].start 25728.48284375
transcript.pyannote[2730].end 25729.61346875
transcript.pyannote[2731].speaker SPEAKER_30
transcript.pyannote[2731].start 25729.64721875
transcript.pyannote[2731].end 25730.08596875
transcript.pyannote[2732].speaker SPEAKER_02
transcript.pyannote[2732].start 25730.08596875
transcript.pyannote[2732].end 25730.54159375
transcript.pyannote[2733].speaker SPEAKER_30
transcript.pyannote[2733].start 25730.54159375
transcript.pyannote[2733].end 25732.00971875
transcript.pyannote[2734].speaker SPEAKER_02
transcript.pyannote[2734].start 25732.00971875
transcript.pyannote[2734].end 25732.02659375
transcript.pyannote[2735].speaker SPEAKER_02
transcript.pyannote[2735].start 25732.36409375
transcript.pyannote[2735].end 25732.44846875
transcript.pyannote[2736].speaker SPEAKER_30
transcript.pyannote[2736].start 25732.68471875
transcript.pyannote[2736].end 25733.51159375
transcript.pyannote[2737].speaker SPEAKER_02
transcript.pyannote[2737].start 25733.88284375
transcript.pyannote[2737].end 25735.84034375
transcript.pyannote[2738].speaker SPEAKER_02
transcript.pyannote[2738].start 25737.35909375
transcript.pyannote[2738].end 25743.06284375
transcript.pyannote[2739].speaker SPEAKER_30
transcript.pyannote[2739].start 25739.48534375
transcript.pyannote[2739].end 25739.70471875
transcript.pyannote[2740].speaker SPEAKER_30
transcript.pyannote[2740].start 25743.23159375
transcript.pyannote[2740].end 25744.59846875
transcript.pyannote[2741].speaker SPEAKER_02
transcript.pyannote[2741].start 25743.56909375
transcript.pyannote[2741].end 25748.05784375
transcript.pyannote[2742].speaker SPEAKER_02
transcript.pyannote[2742].start 25748.26034375
transcript.pyannote[2742].end 25748.96909375
transcript.pyannote[2743].speaker SPEAKER_30
transcript.pyannote[2743].start 25749.34034375
transcript.pyannote[2743].end 25771.90221875
transcript.pyannote[2744].speaker SPEAKER_02
transcript.pyannote[2744].start 25772.89784375
transcript.pyannote[2744].end 25773.50534375
transcript.pyannote[2745].speaker SPEAKER_02
transcript.pyannote[2745].start 25773.94409375
transcript.pyannote[2745].end 25774.65284375
transcript.pyannote[2746].speaker SPEAKER_02
transcript.pyannote[2746].start 25774.87221875
transcript.pyannote[2746].end 25776.30659375
transcript.pyannote[2747].speaker SPEAKER_02
transcript.pyannote[2747].start 25776.93096875
transcript.pyannote[2747].end 25781.87534375
transcript.pyannote[2748].speaker SPEAKER_02
transcript.pyannote[2748].start 25782.65159375
transcript.pyannote[2748].end 25783.37721875
transcript.pyannote[2749].speaker SPEAKER_02
transcript.pyannote[2749].start 25783.39409375
transcript.pyannote[2749].end 25784.72721875
transcript.pyannote[2750].speaker SPEAKER_02
transcript.pyannote[2750].start 25784.99721875
transcript.pyannote[2750].end 25787.20784375
transcript.pyannote[2751].speaker SPEAKER_02
transcript.pyannote[2751].start 25787.42721875
transcript.pyannote[2751].end 25789.16534375
transcript.pyannote[2752].speaker SPEAKER_02
transcript.pyannote[2752].start 25789.84034375
transcript.pyannote[2752].end 25792.15221875
transcript.pyannote[2753].speaker SPEAKER_02
transcript.pyannote[2753].start 25792.75971875
transcript.pyannote[2753].end 25794.26159375
transcript.pyannote[2754].speaker SPEAKER_02
transcript.pyannote[2754].start 25795.29096875
transcript.pyannote[2754].end 25796.53971875
transcript.pyannote[2755].speaker SPEAKER_02
transcript.pyannote[2755].start 25797.38346875
transcript.pyannote[2755].end 25797.63659375
transcript.pyannote[2756].speaker SPEAKER_02
transcript.pyannote[2756].start 25798.09221875
transcript.pyannote[2756].end 25800.43784375
transcript.pyannote[2757].speaker SPEAKER_02
transcript.pyannote[2757].start 25801.18034375
transcript.pyannote[2757].end 25802.88471875
transcript.pyannote[2758].speaker SPEAKER_02
transcript.pyannote[2758].start 25803.00284375
transcript.pyannote[2758].end 25806.20909375
transcript.pyannote[2759].speaker SPEAKER_30
transcript.pyannote[2759].start 25805.88846875
transcript.pyannote[2759].end 25806.96846875
transcript.pyannote[2760].speaker SPEAKER_02
transcript.pyannote[2760].start 25806.36096875
transcript.pyannote[2760].end 25807.06971875
transcript.pyannote[2761].speaker SPEAKER_02
transcript.pyannote[2761].start 25807.54221875
transcript.pyannote[2761].end 25811.00159375
transcript.pyannote[2762].speaker SPEAKER_02
transcript.pyannote[2762].start 25811.38971875
transcript.pyannote[2762].end 25813.78596875
transcript.pyannote[2763].speaker SPEAKER_02
transcript.pyannote[2763].start 25814.57909375
transcript.pyannote[2763].end 25818.52784375
transcript.pyannote[2764].speaker SPEAKER_02
transcript.pyannote[2764].start 25818.79784375
transcript.pyannote[2764].end 25822.08846875
transcript.pyannote[2765].speaker SPEAKER_02
transcript.pyannote[2765].start 25823.13471875
transcript.pyannote[2765].end 25824.02909375
transcript.pyannote[2766].speaker SPEAKER_30
transcript.pyannote[2766].start 25824.41721875
transcript.pyannote[2766].end 25856.17596875
transcript.pyannote[2767].speaker SPEAKER_02
transcript.pyannote[2767].start 25856.37846875
transcript.pyannote[2767].end 25856.39534375
transcript.pyannote[2768].speaker SPEAKER_03
transcript.pyannote[2768].start 25856.39534375
transcript.pyannote[2768].end 25857.35721875
transcript.pyannote[2769].speaker SPEAKER_02
transcript.pyannote[2769].start 25857.35721875
transcript.pyannote[2769].end 25857.37409375
transcript.pyannote[2770].speaker SPEAKER_30
transcript.pyannote[2770].start 25857.37409375
transcript.pyannote[2770].end 25858.48784375
transcript.pyannote[2771].speaker SPEAKER_02
transcript.pyannote[2771].start 25858.48784375
transcript.pyannote[2771].end 25858.50471875
transcript.pyannote[2772].speaker SPEAKER_03
transcript.pyannote[2772].start 25858.99409375
transcript.pyannote[2772].end 25860.22596875
transcript.pyannote[2773].speaker SPEAKER_23
transcript.pyannote[2773].start 25867.80284375
transcript.pyannote[2773].end 25867.95471875
transcript.pyannote[2774].speaker SPEAKER_02
transcript.pyannote[2774].start 25867.95471875
transcript.pyannote[2774].end 25868.17409375
transcript.pyannote[2775].speaker SPEAKER_23
transcript.pyannote[2775].start 25868.17409375
transcript.pyannote[2775].end 25868.22471875
transcript.pyannote[2776].speaker SPEAKER_02
transcript.pyannote[2776].start 25868.22471875
transcript.pyannote[2776].end 25872.20721875
transcript.pyannote[2777].speaker SPEAKER_13
transcript.pyannote[2777].start 25873.35471875
transcript.pyannote[2777].end 25883.22659375
transcript.pyannote[2778].speaker SPEAKER_02
transcript.pyannote[2778].start 25884.45846875
transcript.pyannote[2778].end 25887.90096875
transcript.pyannote[2779].speaker SPEAKER_02
transcript.pyannote[2779].start 25888.15409375
transcript.pyannote[2779].end 25896.94596875
transcript.pyannote[2780].speaker SPEAKER_02
transcript.pyannote[2780].start 25897.53659375
transcript.pyannote[2780].end 25899.44346875
transcript.pyannote[2781].speaker SPEAKER_02
transcript.pyannote[2781].start 25899.64596875
transcript.pyannote[2781].end 25905.97409375
transcript.pyannote[2782].speaker SPEAKER_30
transcript.pyannote[2782].start 25900.03409375
transcript.pyannote[2782].end 25900.06784375
transcript.pyannote[2783].speaker SPEAKER_30
transcript.pyannote[2783].start 25900.08471875
transcript.pyannote[2783].end 25900.10159375
transcript.pyannote[2784].speaker SPEAKER_30
transcript.pyannote[2784].start 25905.97409375
transcript.pyannote[2784].end 25906.61534375
transcript.pyannote[2785].speaker SPEAKER_02
transcript.pyannote[2785].start 25906.56471875
transcript.pyannote[2785].end 25910.61471875
transcript.pyannote[2786].speaker SPEAKER_30
transcript.pyannote[2786].start 25910.61471875
transcript.pyannote[2786].end 25910.93534375
transcript.pyannote[2787].speaker SPEAKER_02
transcript.pyannote[2787].start 25910.93534375
transcript.pyannote[2787].end 25914.61409375
transcript.pyannote[2788].speaker SPEAKER_30
transcript.pyannote[2788].start 25911.15471875
transcript.pyannote[2788].end 25911.22221875
transcript.pyannote[2789].speaker SPEAKER_02
transcript.pyannote[2789].start 25914.91784375
transcript.pyannote[2789].end 25915.96409375
transcript.pyannote[2790].speaker SPEAKER_02
transcript.pyannote[2790].start 25916.60534375
transcript.pyannote[2790].end 25919.44034375
transcript.pyannote[2791].speaker SPEAKER_29
transcript.pyannote[2791].start 25918.64721875
transcript.pyannote[2791].end 25918.68096875
transcript.pyannote[2792].speaker SPEAKER_30
transcript.pyannote[2792].start 25918.68096875
transcript.pyannote[2792].end 25919.13659375
transcript.pyannote[2793].speaker SPEAKER_30
transcript.pyannote[2793].start 25919.44034375
transcript.pyannote[2793].end 25921.27971875
transcript.pyannote[2794].speaker SPEAKER_02
transcript.pyannote[2794].start 25919.81159375
transcript.pyannote[2794].end 25920.41909375
transcript.pyannote[2795].speaker SPEAKER_30
transcript.pyannote[2795].start 25921.38096875
transcript.pyannote[2795].end 25926.83159375
transcript.pyannote[2796].speaker SPEAKER_30
transcript.pyannote[2796].start 25927.01721875
transcript.pyannote[2796].end 25942.47471875
transcript.pyannote[2797].speaker SPEAKER_30
transcript.pyannote[2797].start 25942.67721875
transcript.pyannote[2797].end 25944.55034375
transcript.pyannote[2798].speaker SPEAKER_30
transcript.pyannote[2798].start 25944.80346875
transcript.pyannote[2798].end 25947.16596875
transcript.pyannote[2799].speaker SPEAKER_02
transcript.pyannote[2799].start 25945.15784375
transcript.pyannote[2799].end 25945.96784375
transcript.pyannote[2800].speaker SPEAKER_02
transcript.pyannote[2800].start 25947.72284375
transcript.pyannote[2800].end 25953.71346875
transcript.pyannote[2801].speaker SPEAKER_02
transcript.pyannote[2801].start 25954.32096875
transcript.pyannote[2801].end 25955.60346875
transcript.pyannote[2802].speaker SPEAKER_02
transcript.pyannote[2802].start 25955.95784375
transcript.pyannote[2802].end 25960.24409375
transcript.pyannote[2803].speaker SPEAKER_02
transcript.pyannote[2803].start 25961.08784375
transcript.pyannote[2803].end 25961.88096875
transcript.pyannote[2804].speaker SPEAKER_02
transcript.pyannote[2804].start 25962.85971875
transcript.pyannote[2804].end 25964.20971875
transcript.pyannote[2805].speaker SPEAKER_02
transcript.pyannote[2805].start 25964.68221875
transcript.pyannote[2805].end 25966.65659375
transcript.pyannote[2806].speaker SPEAKER_02
transcript.pyannote[2806].start 25967.21346875
transcript.pyannote[2806].end 25969.35659375
transcript.pyannote[2807].speaker SPEAKER_27
transcript.pyannote[2807].start 25969.87971875
transcript.pyannote[2807].end 25970.33534375
transcript.pyannote[2808].speaker SPEAKER_02
transcript.pyannote[2808].start 25971.43221875
transcript.pyannote[2808].end 25972.78221875
transcript.pyannote[2809].speaker SPEAKER_02
transcript.pyannote[2809].start 25972.96784375
transcript.pyannote[2809].end 25976.44409375
transcript.pyannote[2810].speaker SPEAKER_02
transcript.pyannote[2810].start 25976.98409375
transcript.pyannote[2810].end 25977.76034375
transcript.pyannote[2811].speaker SPEAKER_02
transcript.pyannote[2811].start 25977.94596875
transcript.pyannote[2811].end 25980.86534375
transcript.pyannote[2812].speaker SPEAKER_02
transcript.pyannote[2812].start 25981.00034375
transcript.pyannote[2812].end 25986.88971875
transcript.pyannote[2813].speaker SPEAKER_02
transcript.pyannote[2813].start 25987.91909375
transcript.pyannote[2813].end 25990.04534375
transcript.pyannote[2814].speaker SPEAKER_02
transcript.pyannote[2814].start 25990.26471875
transcript.pyannote[2814].end 25991.34471875
transcript.pyannote[2815].speaker SPEAKER_02
transcript.pyannote[2815].start 25991.61471875
transcript.pyannote[2815].end 25992.59346875
transcript.pyannote[2816].speaker SPEAKER_02
transcript.pyannote[2816].start 25993.08284375
transcript.pyannote[2816].end 25994.82096875
transcript.pyannote[2817].speaker SPEAKER_02
transcript.pyannote[2817].start 25995.51284375
transcript.pyannote[2817].end 25996.71096875
transcript.pyannote[2818].speaker SPEAKER_02
transcript.pyannote[2818].start 25997.20034375
transcript.pyannote[2818].end 26004.60846875
transcript.pyannote[2819].speaker SPEAKER_00
transcript.pyannote[2819].start 25998.36471875
transcript.pyannote[2819].end 25999.02284375
transcript.pyannote[2820].speaker SPEAKER_01
transcript.pyannote[2820].start 25999.02284375
transcript.pyannote[2820].end 25999.51221875
transcript.pyannote[2821].speaker SPEAKER_01
transcript.pyannote[2821].start 26001.57096875
transcript.pyannote[2821].end 26002.00971875
transcript.pyannote[2822].speaker SPEAKER_02
transcript.pyannote[2822].start 26005.31721875
transcript.pyannote[2822].end 26007.74721875
transcript.pyannote[2823].speaker SPEAKER_02
transcript.pyannote[2823].start 26008.82721875
transcript.pyannote[2823].end 26010.00846875
transcript.pyannote[2824].speaker SPEAKER_02
transcript.pyannote[2824].start 26010.73409375
transcript.pyannote[2824].end 26017.28159375
transcript.pyannote[2825].speaker SPEAKER_02
transcript.pyannote[2825].start 26017.90596875
transcript.pyannote[2825].end 26019.34034375
transcript.pyannote[2826].speaker SPEAKER_01
transcript.pyannote[2826].start 26019.84659375
transcript.pyannote[2826].end 26019.86346875
transcript.pyannote[2827].speaker SPEAKER_02
transcript.pyannote[2827].start 26019.86346875
transcript.pyannote[2827].end 26020.52159375
transcript.pyannote[2828].speaker SPEAKER_02
transcript.pyannote[2828].start 26021.26409375
transcript.pyannote[2828].end 26022.44534375
transcript.pyannote[2829].speaker SPEAKER_02
transcript.pyannote[2829].start 26022.61409375
transcript.pyannote[2829].end 26023.55909375
transcript.pyannote[2830].speaker SPEAKER_02
transcript.pyannote[2830].start 26023.98096875
transcript.pyannote[2830].end 26031.65909375
transcript.pyannote[2831].speaker SPEAKER_01
transcript.pyannote[2831].start 26030.17409375
transcript.pyannote[2831].end 26030.49471875
transcript.pyannote[2832].speaker SPEAKER_01
transcript.pyannote[2832].start 26032.68846875
transcript.pyannote[2832].end 26032.70534375
transcript.pyannote[2833].speaker SPEAKER_02
transcript.pyannote[2833].start 26032.70534375
transcript.pyannote[2833].end 26035.67534375
transcript.pyannote[2834].speaker SPEAKER_01
transcript.pyannote[2834].start 26032.73909375
transcript.pyannote[2834].end 26033.44784375
transcript.pyannote[2835].speaker SPEAKER_02
transcript.pyannote[2835].start 26036.16471875
transcript.pyannote[2835].end 26037.44721875
transcript.pyannote[2836].speaker SPEAKER_02
transcript.pyannote[2836].start 26037.85221875
transcript.pyannote[2836].end 26038.94909375
transcript.pyannote[2837].speaker SPEAKER_02
transcript.pyannote[2837].start 26039.15159375
transcript.pyannote[2837].end 26039.99534375
transcript.pyannote[2838].speaker SPEAKER_02
transcript.pyannote[2838].start 26040.36659375
transcript.pyannote[2838].end 26041.41284375
transcript.pyannote[2839].speaker SPEAKER_02
transcript.pyannote[2839].start 26041.96971875
transcript.pyannote[2839].end 26045.88471875
transcript.pyannote[2840].speaker SPEAKER_02
transcript.pyannote[2840].start 26046.30659375
transcript.pyannote[2840].end 26049.15846875
transcript.pyannote[2841].speaker SPEAKER_13
transcript.pyannote[2841].start 26048.88846875
transcript.pyannote[2841].end 26057.86596875
transcript.pyannote[2842].speaker SPEAKER_13
transcript.pyannote[2842].start 26058.08534375
transcript.pyannote[2842].end 26074.77471875
transcript.pyannote[2843].speaker SPEAKER_13
transcript.pyannote[2843].start 26075.07846875
transcript.pyannote[2843].end 26077.50846875
transcript.pyannote[2844].speaker SPEAKER_13
transcript.pyannote[2844].start 26078.08221875
transcript.pyannote[2844].end 26079.01034375
transcript.pyannote[2845].speaker SPEAKER_13
transcript.pyannote[2845].start 26079.38159375
transcript.pyannote[2845].end 26096.67846875
transcript.pyannote[2846].speaker SPEAKER_13
transcript.pyannote[2846].start 26097.30284375
transcript.pyannote[2846].end 26100.39096875
transcript.pyannote[2847].speaker SPEAKER_13
transcript.pyannote[2847].start 26100.91409375
transcript.pyannote[2847].end 26105.97659375
transcript.pyannote[2848].speaker SPEAKER_13
transcript.pyannote[2848].start 26106.14534375
transcript.pyannote[2848].end 26111.41034375
transcript.pyannote[2849].speaker SPEAKER_02
transcript.pyannote[2849].start 26109.94221875
transcript.pyannote[2849].end 26110.33034375
transcript.pyannote[2850].speaker SPEAKER_02
transcript.pyannote[2850].start 26110.54971875
transcript.pyannote[2850].end 26113.95846875
transcript.pyannote[2851].speaker SPEAKER_13
transcript.pyannote[2851].start 26113.38471875
transcript.pyannote[2851].end 26113.84034375
transcript.pyannote[2852].speaker SPEAKER_13
transcript.pyannote[2852].start 26113.95846875
transcript.pyannote[2852].end 26114.02596875
transcript.pyannote[2853].speaker SPEAKER_02
transcript.pyannote[2853].start 26114.02596875
transcript.pyannote[2853].end 26114.12721875
transcript.pyannote[2854].speaker SPEAKER_02
transcript.pyannote[2854].start 26114.81909375
transcript.pyannote[2854].end 26115.00471875
transcript.pyannote[2855].speaker SPEAKER_02
transcript.pyannote[2855].start 26115.78096875
transcript.pyannote[2855].end 26116.67534375
transcript.pyannote[2856].speaker SPEAKER_02
transcript.pyannote[2856].start 26116.79346875
transcript.pyannote[2856].end 26118.04221875
transcript.pyannote[2857].speaker SPEAKER_02
transcript.pyannote[2857].start 26118.46409375
transcript.pyannote[2857].end 26120.60721875
transcript.pyannote[2858].speaker SPEAKER_02
transcript.pyannote[2858].start 26120.94471875
transcript.pyannote[2858].end 26122.69971875
transcript.pyannote[2859].speaker SPEAKER_01
transcript.pyannote[2859].start 26121.21471875
transcript.pyannote[2859].end 26121.75471875
transcript.pyannote[2860].speaker SPEAKER_02
transcript.pyannote[2860].start 26123.18909375
transcript.pyannote[2860].end 26143.65846875
transcript.pyannote[2861].speaker SPEAKER_13
transcript.pyannote[2861].start 26124.84284375
transcript.pyannote[2861].end 26124.87659375
transcript.pyannote[2862].speaker SPEAKER_01
transcript.pyannote[2862].start 26124.87659375
transcript.pyannote[2862].end 26125.02846875
transcript.pyannote[2863].speaker SPEAKER_13
transcript.pyannote[2863].start 26125.02846875
transcript.pyannote[2863].end 26125.80471875
transcript.pyannote[2864].speaker SPEAKER_13
transcript.pyannote[2864].start 26126.78346875
transcript.pyannote[2864].end 26127.10409375
transcript.pyannote[2865].speaker SPEAKER_13
transcript.pyannote[2865].start 26128.35284375
transcript.pyannote[2865].end 26129.65221875
transcript.pyannote[2866].speaker SPEAKER_13
transcript.pyannote[2866].start 26133.98909375
transcript.pyannote[2866].end 26134.64721875
transcript.pyannote[2867].speaker SPEAKER_13
transcript.pyannote[2867].start 26135.57534375
transcript.pyannote[2867].end 26136.97596875
transcript.pyannote[2868].speaker SPEAKER_29
transcript.pyannote[2868].start 26136.97596875
transcript.pyannote[2868].end 26137.51596875
transcript.pyannote[2869].speaker SPEAKER_29
transcript.pyannote[2869].start 26137.88721875
transcript.pyannote[2869].end 26138.34284375
transcript.pyannote[2870].speaker SPEAKER_29
transcript.pyannote[2870].start 26140.63784375
transcript.pyannote[2870].end 26140.89096875
transcript.pyannote[2871].speaker SPEAKER_02
transcript.pyannote[2871].start 26144.06346875
transcript.pyannote[2871].end 26144.62034375
transcript.pyannote[2872].speaker SPEAKER_02
transcript.pyannote[2872].start 26145.16034375
transcript.pyannote[2872].end 26146.94909375
transcript.pyannote[2873].speaker SPEAKER_02
transcript.pyannote[2873].start 26147.53971875
transcript.pyannote[2873].end 26151.10034375
transcript.pyannote[2874].speaker SPEAKER_13
transcript.pyannote[2874].start 26150.10471875
transcript.pyannote[2874].end 26151.70784375
transcript.pyannote[2875].speaker SPEAKER_02
transcript.pyannote[2875].start 26151.69096875
transcript.pyannote[2875].end 26153.74971875
transcript.pyannote[2876].speaker SPEAKER_02
transcript.pyannote[2876].start 26154.13784375
transcript.pyannote[2876].end 26154.82971875
transcript.pyannote[2877].speaker SPEAKER_02
transcript.pyannote[2877].start 26155.40346875
transcript.pyannote[2877].end 26157.17534375
transcript.pyannote[2878].speaker SPEAKER_13
transcript.pyannote[2878].start 26155.45409375
transcript.pyannote[2878].end 26156.70284375
transcript.pyannote[2879].speaker SPEAKER_02
transcript.pyannote[2879].start 26157.56346875
transcript.pyannote[2879].end 26157.61409375
transcript.pyannote[2880].speaker SPEAKER_02
transcript.pyannote[2880].start 26158.20471875
transcript.pyannote[2880].end 26164.33034375
transcript.pyannote[2881].speaker SPEAKER_30
transcript.pyannote[2881].start 26163.25034375
transcript.pyannote[2881].end 26164.75221875
transcript.pyannote[2882].speaker SPEAKER_30
transcript.pyannote[2882].start 26165.24159375
transcript.pyannote[2882].end 26193.62534375
transcript.pyannote[2883].speaker SPEAKER_00
transcript.pyannote[2883].start 26175.60284375
transcript.pyannote[2883].end 26175.99096875
transcript.pyannote[2884].speaker SPEAKER_02
transcript.pyannote[2884].start 26193.00096875
transcript.pyannote[2884].end 26193.54096875
transcript.pyannote[2885].speaker SPEAKER_30
transcript.pyannote[2885].start 26193.92909375
transcript.pyannote[2885].end 26194.48596875
transcript.pyannote[2886].speaker SPEAKER_18
transcript.pyannote[2886].start 26194.04721875
transcript.pyannote[2886].end 26194.06409375
transcript.pyannote[2887].speaker SPEAKER_02
transcript.pyannote[2887].start 26194.06409375
transcript.pyannote[2887].end 26195.24534375
transcript.pyannote[2888].speaker SPEAKER_02
transcript.pyannote[2888].start 26196.10596875
transcript.pyannote[2888].end 26200.37534375
transcript.pyannote[2889].speaker SPEAKER_02
transcript.pyannote[2889].start 26200.57784375
transcript.pyannote[2889].end 26210.97284375
transcript.pyannote[2890].speaker SPEAKER_18
transcript.pyannote[2890].start 26202.01221875
transcript.pyannote[2890].end 26202.02909375
transcript.pyannote[2891].speaker SPEAKER_01
transcript.pyannote[2891].start 26202.02909375
transcript.pyannote[2891].end 26202.97409375
transcript.pyannote[2892].speaker SPEAKER_00
transcript.pyannote[2892].start 26202.97409375
transcript.pyannote[2892].end 26203.04159375
transcript.pyannote[2893].speaker SPEAKER_01
transcript.pyannote[2893].start 26207.61471875
transcript.pyannote[2893].end 26208.91409375
transcript.pyannote[2894].speaker SPEAKER_01
transcript.pyannote[2894].start 26210.97284375
transcript.pyannote[2894].end 26211.46221875
transcript.pyannote[2895].speaker SPEAKER_02
transcript.pyannote[2895].start 26211.04034375
transcript.pyannote[2895].end 26213.09909375
transcript.pyannote[2896].speaker SPEAKER_02
transcript.pyannote[2896].start 26213.23409375
transcript.pyannote[2896].end 26213.30159375
transcript.pyannote[2897].speaker SPEAKER_01
transcript.pyannote[2897].start 26213.30159375
transcript.pyannote[2897].end 26213.35221875
transcript.pyannote[2898].speaker SPEAKER_02
transcript.pyannote[2898].start 26213.35221875
transcript.pyannote[2898].end 26220.77721875
transcript.pyannote[2899].speaker SPEAKER_01
transcript.pyannote[2899].start 26216.38971875
transcript.pyannote[2899].end 26217.89159375
transcript.pyannote[2900].speaker SPEAKER_30
transcript.pyannote[2900].start 26217.89159375
transcript.pyannote[2900].end 26217.90846875
transcript.pyannote[2901].speaker SPEAKER_01
transcript.pyannote[2901].start 26217.90846875
transcript.pyannote[2901].end 26217.92534375
transcript.pyannote[2902].speaker SPEAKER_30
transcript.pyannote[2902].start 26220.77721875
transcript.pyannote[2902].end 26220.81096875
transcript.pyannote[2903].speaker SPEAKER_30
transcript.pyannote[2903].start 26220.92909375
transcript.pyannote[2903].end 26225.23221875
transcript.pyannote[2904].speaker SPEAKER_02
transcript.pyannote[2904].start 26221.30034375
transcript.pyannote[2904].end 26221.73909375
transcript.pyannote[2905].speaker SPEAKER_02
transcript.pyannote[2905].start 26226.16034375
transcript.pyannote[2905].end 26227.52721875
transcript.pyannote[2906].speaker SPEAKER_02
transcript.pyannote[2906].start 26227.86471875
transcript.pyannote[2906].end 26228.45534375
transcript.pyannote[2907].speaker SPEAKER_02
transcript.pyannote[2907].start 26230.49721875
transcript.pyannote[2907].end 26231.07096875
transcript.pyannote[2908].speaker SPEAKER_02
transcript.pyannote[2908].start 26231.45909375
transcript.pyannote[2908].end 26232.23534375
transcript.pyannote[2909].speaker SPEAKER_02
transcript.pyannote[2909].start 26232.42096875
transcript.pyannote[2909].end 26233.82159375
transcript.pyannote[2910].speaker SPEAKER_02
transcript.pyannote[2910].start 26234.17596875
transcript.pyannote[2910].end 26234.78346875
transcript.pyannote[2911].speaker SPEAKER_02
transcript.pyannote[2911].start 26235.50909375
transcript.pyannote[2911].end 26242.36034375
transcript.pyannote[2912].speaker SPEAKER_02
transcript.pyannote[2912].start 26243.23784375
transcript.pyannote[2912].end 26244.11534375
transcript.pyannote[2913].speaker SPEAKER_02
transcript.pyannote[2913].start 26245.65096875
transcript.pyannote[2913].end 26246.29221875
transcript.pyannote[2914].speaker SPEAKER_02
transcript.pyannote[2914].start 26247.03471875
transcript.pyannote[2914].end 26248.40159375
transcript.pyannote[2915].speaker SPEAKER_02
transcript.pyannote[2915].start 26248.94159375
transcript.pyannote[2915].end 26251.70909375
transcript.pyannote[2916].speaker SPEAKER_02
transcript.pyannote[2916].start 26251.86096875
transcript.pyannote[2916].end 26252.87346875
transcript.pyannote[2917].speaker SPEAKER_01
transcript.pyannote[2917].start 26252.01284375
transcript.pyannote[2917].end 26252.04659375
transcript.pyannote[2918].speaker SPEAKER_02
transcript.pyannote[2918].start 26253.81846875
transcript.pyannote[2918].end 26258.37471875
transcript.pyannote[2919].speaker SPEAKER_02
transcript.pyannote[2919].start 26258.42534375
transcript.pyannote[2919].end 26258.89784375
transcript.pyannote[2920].speaker SPEAKER_02
transcript.pyannote[2920].start 26259.53909375
transcript.pyannote[2920].end 26262.52596875
transcript.pyannote[2921].speaker SPEAKER_02
transcript.pyannote[2921].start 26263.23471875
transcript.pyannote[2921].end 26267.47034375
transcript.pyannote[2922].speaker SPEAKER_13
transcript.pyannote[2922].start 26268.16221875
transcript.pyannote[2922].end 26270.08596875
transcript.pyannote[2923].speaker SPEAKER_13
transcript.pyannote[2923].start 26270.38971875
transcript.pyannote[2923].end 26275.09784375
transcript.pyannote[2924].speaker SPEAKER_13
transcript.pyannote[2924].start 26275.11471875
transcript.pyannote[2924].end 26288.02409375
transcript.pyannote[2925].speaker SPEAKER_13
transcript.pyannote[2925].start 26288.26034375
transcript.pyannote[2925].end 26295.39846875
transcript.pyannote[2926].speaker SPEAKER_13
transcript.pyannote[2926].start 26295.58409375
transcript.pyannote[2926].end 26304.12284375
transcript.pyannote[2927].speaker SPEAKER_02
transcript.pyannote[2927].start 26301.35534375
transcript.pyannote[2927].end 26302.45221875
transcript.pyannote[2928].speaker SPEAKER_02
transcript.pyannote[2928].start 26303.11034375
transcript.pyannote[2928].end 26303.41409375
transcript.pyannote[2929].speaker SPEAKER_13
transcript.pyannote[2929].start 26304.32534375
transcript.pyannote[2929].end 26305.59096875
transcript.pyannote[2930].speaker SPEAKER_02
transcript.pyannote[2930].start 26305.59096875
transcript.pyannote[2930].end 26306.19846875
transcript.pyannote[2931].speaker SPEAKER_13
transcript.pyannote[2931].start 26306.19846875
transcript.pyannote[2931].end 26308.03784375
transcript.pyannote[2932].speaker SPEAKER_02
transcript.pyannote[2932].start 26308.03784375
transcript.pyannote[2932].end 26309.75909375
transcript.pyannote[2933].speaker SPEAKER_13
transcript.pyannote[2933].start 26309.75909375
transcript.pyannote[2933].end 26309.77596875
transcript.pyannote[2934].speaker SPEAKER_02
transcript.pyannote[2934].start 26309.77596875
transcript.pyannote[2934].end 26310.33284375
transcript.pyannote[2935].speaker SPEAKER_02
transcript.pyannote[2935].start 26310.73784375
transcript.pyannote[2935].end 26312.96534375
transcript.pyannote[2936].speaker SPEAKER_02
transcript.pyannote[2936].start 26313.08346875
transcript.pyannote[2936].end 26315.69909375
transcript.pyannote[2937].speaker SPEAKER_02
transcript.pyannote[2937].start 26316.18846875
transcript.pyannote[2937].end 26317.31909375
transcript.pyannote[2938].speaker SPEAKER_02
transcript.pyannote[2938].start 26317.77471875
transcript.pyannote[2938].end 26318.60159375
transcript.pyannote[2939].speaker SPEAKER_02
transcript.pyannote[2939].start 26318.92221875
transcript.pyannote[2939].end 26330.83596875
transcript.pyannote[2940].speaker SPEAKER_26
transcript.pyannote[2940].start 26322.12846875
transcript.pyannote[2940].end 26322.24659375
transcript.pyannote[2941].speaker SPEAKER_26
transcript.pyannote[2941].start 26322.29721875
transcript.pyannote[2941].end 26322.98909375
transcript.pyannote[2942].speaker SPEAKER_26
transcript.pyannote[2942].start 26324.10284375
transcript.pyannote[2942].end 26324.23784375
transcript.pyannote[2943].speaker SPEAKER_30
transcript.pyannote[2943].start 26324.23784375
transcript.pyannote[2943].end 26325.09846875
transcript.pyannote[2944].speaker SPEAKER_26
transcript.pyannote[2944].start 26325.09846875
transcript.pyannote[2944].end 26325.13221875
transcript.pyannote[2945].speaker SPEAKER_30
transcript.pyannote[2945].start 26329.99221875
transcript.pyannote[2945].end 26331.29159375
transcript.pyannote[2946].speaker SPEAKER_02
transcript.pyannote[2946].start 26331.29159375
transcript.pyannote[2946].end 26337.97409375
transcript.pyannote[2947].speaker SPEAKER_30
transcript.pyannote[2947].start 26331.32534375
transcript.pyannote[2947].end 26331.42659375
transcript.pyannote[2948].speaker SPEAKER_30
transcript.pyannote[2948].start 26331.44346875
transcript.pyannote[2948].end 26331.46034375
transcript.pyannote[2949].speaker SPEAKER_30
transcript.pyannote[2949].start 26335.78034375
transcript.pyannote[2949].end 26336.03346875
transcript.pyannote[2950].speaker SPEAKER_13
transcript.pyannote[2950].start 26336.03346875
transcript.pyannote[2950].end 26336.15159375
transcript.pyannote[2951].speaker SPEAKER_13
transcript.pyannote[2951].start 26337.97409375
transcript.pyannote[2951].end 26352.70596875
transcript.pyannote[2952].speaker SPEAKER_02
transcript.pyannote[2952].start 26346.09096875
transcript.pyannote[2952].end 26346.95159375
transcript.pyannote[2953].speaker SPEAKER_30
transcript.pyannote[2953].start 26352.13221875
transcript.pyannote[2953].end 26353.26284375
transcript.pyannote[2954].speaker SPEAKER_13
transcript.pyannote[2954].start 26353.26284375
transcript.pyannote[2954].end 26400.83346875
transcript.pyannote[2955].speaker SPEAKER_30
transcript.pyannote[2955].start 26360.29971875
transcript.pyannote[2955].end 26360.31659375
transcript.pyannote[2956].speaker SPEAKER_01
transcript.pyannote[2956].start 26360.31659375
transcript.pyannote[2956].end 26360.73846875
transcript.pyannote[2957].speaker SPEAKER_01
transcript.pyannote[2957].start 26363.69159375
transcript.pyannote[2957].end 26364.06284375
transcript.pyannote[2958].speaker SPEAKER_02
transcript.pyannote[2958].start 26391.72096875
transcript.pyannote[2958].end 26393.37471875
transcript.pyannote[2959].speaker SPEAKER_02
transcript.pyannote[2959].start 26393.56034375
transcript.pyannote[2959].end 26396.93534375
transcript.pyannote[2960].speaker SPEAKER_02
transcript.pyannote[2960].start 26399.06159375
transcript.pyannote[2960].end 26401.42409375
transcript.pyannote[2961].speaker SPEAKER_13
transcript.pyannote[2961].start 26401.42409375
transcript.pyannote[2961].end 26401.59284375
transcript.pyannote[2962].speaker SPEAKER_02
transcript.pyannote[2962].start 26401.59284375
transcript.pyannote[2962].end 26416.56096875
transcript.pyannote[2963].speaker SPEAKER_13
transcript.pyannote[2963].start 26401.60971875
transcript.pyannote[2963].end 26401.93034375
transcript.pyannote[2964].speaker SPEAKER_30
transcript.pyannote[2964].start 26401.93034375
transcript.pyannote[2964].end 26401.96409375
transcript.pyannote[2965].speaker SPEAKER_13
transcript.pyannote[2965].start 26405.54159375
transcript.pyannote[2965].end 26405.55846875
transcript.pyannote[2966].speaker SPEAKER_30
transcript.pyannote[2966].start 26405.55846875
transcript.pyannote[2966].end 26407.54971875
transcript.pyannote[2967].speaker SPEAKER_30
transcript.pyannote[2967].start 26408.14034375
transcript.pyannote[2967].end 26411.26221875
transcript.pyannote[2968].speaker SPEAKER_30
transcript.pyannote[2968].start 26411.97096875
transcript.pyannote[2968].end 26412.20721875
transcript.pyannote[2969].speaker SPEAKER_30
transcript.pyannote[2969].start 26412.89909375
transcript.pyannote[2969].end 26412.98346875
transcript.pyannote[2970].speaker SPEAKER_30
transcript.pyannote[2970].start 26415.85221875
transcript.pyannote[2970].end 26416.07159375
transcript.pyannote[2971].speaker SPEAKER_13
transcript.pyannote[2971].start 26416.10534375
transcript.pyannote[2971].end 26416.25721875
transcript.pyannote[2972].speaker SPEAKER_02
transcript.pyannote[2972].start 26417.28659375
transcript.pyannote[2972].end 26418.02909375
transcript.pyannote[2973].speaker SPEAKER_13
transcript.pyannote[2973].start 26418.02909375
transcript.pyannote[2973].end 26418.04596875
transcript.pyannote[2974].speaker SPEAKER_02
transcript.pyannote[2974].start 26418.04596875
transcript.pyannote[2974].end 26418.09659375
transcript.pyannote[2975].speaker SPEAKER_13
transcript.pyannote[2975].start 26418.09659375
transcript.pyannote[2975].end 26418.18096875
transcript.pyannote[2976].speaker SPEAKER_02
transcript.pyannote[2976].start 26418.18096875
transcript.pyannote[2976].end 26418.24846875
transcript.pyannote[2977].speaker SPEAKER_13
transcript.pyannote[2977].start 26418.24846875
transcript.pyannote[2977].end 26418.26534375
transcript.pyannote[2978].speaker SPEAKER_02
transcript.pyannote[2978].start 26418.26534375
transcript.pyannote[2978].end 26418.41721875
transcript.pyannote[2979].speaker SPEAKER_13
transcript.pyannote[2979].start 26418.41721875
transcript.pyannote[2979].end 26418.50159375
transcript.pyannote[2980].speaker SPEAKER_02
transcript.pyannote[2980].start 26418.50159375
transcript.pyannote[2980].end 26418.97409375
transcript.pyannote[2981].speaker SPEAKER_13
transcript.pyannote[2981].start 26418.97409375
transcript.pyannote[2981].end 26425.99409375
transcript.pyannote[2982].speaker SPEAKER_02
transcript.pyannote[2982].start 26425.04909375
transcript.pyannote[2982].end 26425.97721875
transcript.pyannote[2983].speaker SPEAKER_02
transcript.pyannote[2983].start 26425.99409375
transcript.pyannote[2983].end 26426.26409375
transcript.pyannote[2984].speaker SPEAKER_13
transcript.pyannote[2984].start 26426.26409375
transcript.pyannote[2984].end 26426.34846875
transcript.pyannote[2985].speaker SPEAKER_02
transcript.pyannote[2985].start 26426.34846875
transcript.pyannote[2985].end 26426.92221875
transcript.pyannote[2986].speaker SPEAKER_02
transcript.pyannote[2986].start 26427.96846875
transcript.pyannote[2986].end 26430.80346875
transcript.pyannote[2987].speaker SPEAKER_13
transcript.pyannote[2987].start 26428.66034375
transcript.pyannote[2987].end 26428.96409375
transcript.pyannote[2988].speaker SPEAKER_30
transcript.pyannote[2988].start 26428.96409375
transcript.pyannote[2988].end 26431.49534375
transcript.pyannote[2989].speaker SPEAKER_02
transcript.pyannote[2989].start 26431.49534375
transcript.pyannote[2989].end 26445.46784375
transcript.pyannote[2990].speaker SPEAKER_12
transcript.pyannote[2990].start 26439.32534375
transcript.pyannote[2990].end 26439.46034375
transcript.pyannote[2991].speaker SPEAKER_02
transcript.pyannote[2991].start 26446.14284375
transcript.pyannote[2991].end 26447.44221875
transcript.pyannote[2992].speaker SPEAKER_02
transcript.pyannote[2992].start 26447.74596875
transcript.pyannote[2992].end 26449.66971875
transcript.pyannote[2993].speaker SPEAKER_02
transcript.pyannote[2993].start 26449.97346875
transcript.pyannote[2993].end 26451.15471875
transcript.pyannote[2994].speaker SPEAKER_13
transcript.pyannote[2994].start 26450.47971875
transcript.pyannote[2994].end 26452.38659375
transcript.pyannote[2995].speaker SPEAKER_02
transcript.pyannote[2995].start 26452.38659375
transcript.pyannote[2995].end 26453.34846875
transcript.pyannote[2996].speaker SPEAKER_13
transcript.pyannote[2996].start 26453.34846875
transcript.pyannote[2996].end 26453.82096875
transcript.pyannote[2997].speaker SPEAKER_02
transcript.pyannote[2997].start 26453.43284375
transcript.pyannote[2997].end 26453.71971875
transcript.pyannote[2998].speaker SPEAKER_02
transcript.pyannote[2998].start 26453.82096875
transcript.pyannote[2998].end 26453.97284375
transcript.pyannote[2999].speaker SPEAKER_13
transcript.pyannote[2999].start 26453.97284375
transcript.pyannote[2999].end 26454.04034375
transcript.pyannote[3000].speaker SPEAKER_02
transcript.pyannote[3000].start 26454.04034375
transcript.pyannote[3000].end 26454.05721875
transcript.pyannote[3001].speaker SPEAKER_13
transcript.pyannote[3001].start 26454.05721875
transcript.pyannote[3001].end 26459.05221875
transcript.pyannote[3002].speaker SPEAKER_13
transcript.pyannote[3002].start 26459.37284375
transcript.pyannote[3002].end 26460.63846875
transcript.pyannote[3003].speaker SPEAKER_13
transcript.pyannote[3003].start 26461.00971875
transcript.pyannote[3003].end 26471.96159375
transcript.pyannote[3004].speaker SPEAKER_29
transcript.pyannote[3004].start 26471.96159375
transcript.pyannote[3004].end 26472.38346875
transcript.pyannote[3005].speaker SPEAKER_13
transcript.pyannote[3005].start 26472.33284375
transcript.pyannote[3005].end 26474.29034375
transcript.pyannote[3006].speaker SPEAKER_13
transcript.pyannote[3006].start 26474.71221875
transcript.pyannote[3006].end 26479.13346875
transcript.pyannote[3007].speaker SPEAKER_29
transcript.pyannote[3007].start 26477.95221875
transcript.pyannote[3007].end 26477.96909375
transcript.pyannote[3008].speaker SPEAKER_01
transcript.pyannote[3008].start 26477.96909375
transcript.pyannote[3008].end 26478.22221875
transcript.pyannote[3009].speaker SPEAKER_01
transcript.pyannote[3009].start 26479.13346875
transcript.pyannote[3009].end 26479.20096875
transcript.pyannote[3010].speaker SPEAKER_13
transcript.pyannote[3010].start 26479.20096875
transcript.pyannote[3010].end 26487.40221875
transcript.pyannote[3011].speaker SPEAKER_02
transcript.pyannote[3011].start 26484.88784375
transcript.pyannote[3011].end 26487.90846875
transcript.pyannote[3012].speaker SPEAKER_29
transcript.pyannote[3012].start 26487.90846875
transcript.pyannote[3012].end 26487.97596875
transcript.pyannote[3013].speaker SPEAKER_13
transcript.pyannote[3013].start 26488.14471875
transcript.pyannote[3013].end 26488.19534375
transcript.pyannote[3014].speaker SPEAKER_02
transcript.pyannote[3014].start 26488.19534375
transcript.pyannote[3014].end 26489.66346875
transcript.pyannote[3015].speaker SPEAKER_13
transcript.pyannote[3015].start 26488.21221875
transcript.pyannote[3015].end 26489.62971875
transcript.pyannote[3016].speaker SPEAKER_02
transcript.pyannote[3016].start 26490.38909375
transcript.pyannote[3016].end 26490.94596875
transcript.pyannote[3017].speaker SPEAKER_02
transcript.pyannote[3017].start 26491.35096875
transcript.pyannote[3017].end 26492.83596875
transcript.pyannote[3018].speaker SPEAKER_02
transcript.pyannote[3018].start 26493.13971875
transcript.pyannote[3018].end 26493.46034375
transcript.pyannote[3019].speaker SPEAKER_02
transcript.pyannote[3019].start 26493.52784375
transcript.pyannote[3019].end 26495.41784375
transcript.pyannote[3020].speaker SPEAKER_02
transcript.pyannote[3020].start 26495.65409375
transcript.pyannote[3020].end 26496.21096875
transcript.pyannote[3021].speaker SPEAKER_02
transcript.pyannote[3021].start 26496.78471875
transcript.pyannote[3021].end 26500.02471875
transcript.pyannote[3022].speaker SPEAKER_02
transcript.pyannote[3022].start 26500.15971875
transcript.pyannote[3022].end 26500.66596875
transcript.pyannote[3023].speaker SPEAKER_02
transcript.pyannote[3023].start 26500.80096875
transcript.pyannote[3023].end 26502.11721875
transcript.pyannote[3024].speaker SPEAKER_02
transcript.pyannote[3024].start 26502.33659375
transcript.pyannote[3024].end 26502.89346875
transcript.pyannote[3025].speaker SPEAKER_02
transcript.pyannote[3025].start 26503.39971875
transcript.pyannote[3025].end 26512.44471875
transcript.pyannote[3026].speaker SPEAKER_13
transcript.pyannote[3026].start 26512.44471875
transcript.pyannote[3026].end 26515.81971875
transcript.pyannote[3027].speaker SPEAKER_02
transcript.pyannote[3027].start 26515.34721875
transcript.pyannote[3027].end 26515.80284375
transcript.pyannote[3028].speaker SPEAKER_02
transcript.pyannote[3028].start 26515.81971875
transcript.pyannote[3028].end 26517.11909375
transcript.pyannote[3029].speaker SPEAKER_13
transcript.pyannote[3029].start 26516.44409375
transcript.pyannote[3029].end 26523.95346875
transcript.pyannote[3030].speaker SPEAKER_02
transcript.pyannote[3030].start 26523.71721875
transcript.pyannote[3030].end 26525.20221875
transcript.pyannote[3031].speaker SPEAKER_02
transcript.pyannote[3031].start 26525.65784375
transcript.pyannote[3031].end 26528.15534375
transcript.pyannote[3032].speaker SPEAKER_02
transcript.pyannote[3032].start 26528.37471875
transcript.pyannote[3032].end 26528.40846875
transcript.pyannote[3033].speaker SPEAKER_03
transcript.pyannote[3033].start 26528.40846875
transcript.pyannote[3033].end 26529.96096875
transcript.pyannote[3034].speaker SPEAKER_02
transcript.pyannote[3034].start 26538.29721875
transcript.pyannote[3034].end 26539.19159375
transcript.pyannote[3035].speaker SPEAKER_02
transcript.pyannote[3035].start 26539.63034375
transcript.pyannote[3035].end 26539.98471875
transcript.pyannote[3036].speaker SPEAKER_02
transcript.pyannote[3036].start 26540.74409375
transcript.pyannote[3036].end 26542.48221875
transcript.pyannote[3037].speaker SPEAKER_02
transcript.pyannote[3037].start 26542.83659375
transcript.pyannote[3037].end 26543.12346875
transcript.pyannote[3038].speaker SPEAKER_02
transcript.pyannote[3038].start 26544.33846875
transcript.pyannote[3038].end 26547.30846875
transcript.pyannote[3039].speaker SPEAKER_02
transcript.pyannote[3039].start 26547.52784375
transcript.pyannote[3039].end 26548.59096875
transcript.pyannote[3040].speaker SPEAKER_02
transcript.pyannote[3040].start 26548.72596875
transcript.pyannote[3040].end 26550.17721875
transcript.pyannote[3041].speaker SPEAKER_02
transcript.pyannote[3041].start 26550.91971875
transcript.pyannote[3041].end 26551.86471875
transcript.pyannote[3042].speaker SPEAKER_02
transcript.pyannote[3042].start 26552.50596875
transcript.pyannote[3042].end 26554.71659375
transcript.pyannote[3043].speaker SPEAKER_02
transcript.pyannote[3043].start 26555.76284375
transcript.pyannote[3043].end 26561.19659375
transcript.pyannote[3044].speaker SPEAKER_02
transcript.pyannote[3044].start 26561.24721875
transcript.pyannote[3044].end 26563.54221875
transcript.pyannote[3045].speaker SPEAKER_02
transcript.pyannote[3045].start 26563.93034375
transcript.pyannote[3045].end 26565.02721875
transcript.pyannote[3046].speaker SPEAKER_02
transcript.pyannote[3046].start 26565.44909375
transcript.pyannote[3046].end 26566.30971875
transcript.pyannote[3047].speaker SPEAKER_02
transcript.pyannote[3047].start 26566.59659375
transcript.pyannote[3047].end 26571.03471875
transcript.pyannote[3048].speaker SPEAKER_02
transcript.pyannote[3048].start 26571.50721875
transcript.pyannote[3048].end 26572.03034375
transcript.pyannote[3049].speaker SPEAKER_02
transcript.pyannote[3049].start 26572.36784375
transcript.pyannote[3049].end 26574.13971875
transcript.pyannote[3050].speaker SPEAKER_02
transcript.pyannote[3050].start 26575.01721875
transcript.pyannote[3050].end 26578.22346875
transcript.pyannote[3051].speaker SPEAKER_02
transcript.pyannote[3051].start 26578.66221875
transcript.pyannote[3051].end 26580.34971875
transcript.pyannote[3052].speaker SPEAKER_01
transcript.pyannote[3052].start 26580.95721875
transcript.pyannote[3052].end 26581.17659375
transcript.pyannote[3053].speaker SPEAKER_02
transcript.pyannote[3053].start 26581.54784375
transcript.pyannote[3053].end 26582.56034375
transcript.pyannote[3054].speaker SPEAKER_02
transcript.pyannote[3054].start 26583.26909375
transcript.pyannote[3054].end 26583.69096875
transcript.pyannote[3055].speaker SPEAKER_02
transcript.pyannote[3055].start 26584.01159375
transcript.pyannote[3055].end 26585.69909375
transcript.pyannote[3056].speaker SPEAKER_02
transcript.pyannote[3056].start 26586.44159375
transcript.pyannote[3056].end 26587.15034375
transcript.pyannote[3057].speaker SPEAKER_02
transcript.pyannote[3057].start 26588.11221875
transcript.pyannote[3057].end 26589.04034375
transcript.pyannote[3058].speaker SPEAKER_02
transcript.pyannote[3058].start 26590.40721875
transcript.pyannote[3058].end 26594.28846875
transcript.pyannote[3059].speaker SPEAKER_02
transcript.pyannote[3059].start 26595.28409375
transcript.pyannote[3059].end 26596.68471875
transcript.pyannote[3060].speaker SPEAKER_07
transcript.pyannote[3060].start 26596.04346875
transcript.pyannote[3060].end 26612.27721875
transcript.pyannote[3061].speaker SPEAKER_02
transcript.pyannote[3061].start 26608.78409375
transcript.pyannote[3061].end 26612.04096875
transcript.pyannote[3062].speaker SPEAKER_02
transcript.pyannote[3062].start 26612.27721875
transcript.pyannote[3062].end 26614.40346875
transcript.pyannote[3063].speaker SPEAKER_02
transcript.pyannote[3063].start 26614.55534375
transcript.pyannote[3063].end 26621.55846875
transcript.pyannote[3064].speaker SPEAKER_02
transcript.pyannote[3064].start 26621.96346875
transcript.pyannote[3064].end 26624.03909375
transcript.pyannote[3065].speaker SPEAKER_02
transcript.pyannote[3065].start 26624.25846875
transcript.pyannote[3065].end 26624.83221875
transcript.pyannote[3066].speaker SPEAKER_30
transcript.pyannote[3066].start 26624.56221875
transcript.pyannote[3066].end 26631.34596875
transcript.pyannote[3067].speaker SPEAKER_03
transcript.pyannote[3067].start 26636.98221875
transcript.pyannote[3067].end 26640.84659375
transcript.pyannote[3068].speaker SPEAKER_03
transcript.pyannote[3068].start 26641.13346875
transcript.pyannote[3068].end 26646.92159375
transcript.pyannote[3069].speaker SPEAKER_03
transcript.pyannote[3069].start 26647.42784375
transcript.pyannote[3069].end 26649.52034375
transcript.pyannote[3070].speaker SPEAKER_03
transcript.pyannote[3070].start 26649.80721875
transcript.pyannote[3070].end 26652.11909375
transcript.pyannote[3071].speaker SPEAKER_03
transcript.pyannote[3071].start 26652.55784375
transcript.pyannote[3071].end 26655.00471875
transcript.pyannote[3072].speaker SPEAKER_03
transcript.pyannote[3072].start 26655.25784375
transcript.pyannote[3072].end 26657.41784375
transcript.pyannote[3073].speaker SPEAKER_06
transcript.pyannote[3073].start 26667.77909375
transcript.pyannote[3073].end 26668.42034375
transcript.pyannote[3074].speaker SPEAKER_06
transcript.pyannote[3074].start 26668.48784375
transcript.pyannote[3074].end 26670.25971875
transcript.pyannote[3075].speaker SPEAKER_03
transcript.pyannote[3075].start 26670.64784375
transcript.pyannote[3075].end 26672.20034375
transcript.pyannote[3076].speaker SPEAKER_06
transcript.pyannote[3076].start 26672.99346875
transcript.pyannote[3076].end 26673.61784375
transcript.pyannote[3077].speaker SPEAKER_06
transcript.pyannote[3077].start 26676.35159375
transcript.pyannote[3077].end 26690.25659375
transcript.pyannote[3078].speaker SPEAKER_30
transcript.pyannote[3078].start 26690.52659375
transcript.pyannote[3078].end 26700.97221875
transcript.pyannote[3079].speaker SPEAKER_06
transcript.pyannote[3079].start 26700.97221875
transcript.pyannote[3079].end 26705.46096875
transcript.pyannote[3080].speaker SPEAKER_30
transcript.pyannote[3080].start 26702.72721875
transcript.pyannote[3080].end 26711.65409375
transcript.pyannote[3081].speaker SPEAKER_06
transcript.pyannote[3081].start 26710.57409375
transcript.pyannote[3081].end 26732.41034375
transcript.pyannote[3082].speaker SPEAKER_13
transcript.pyannote[3082].start 26732.41034375
transcript.pyannote[3082].end 26754.60096875
transcript.pyannote[3083].speaker SPEAKER_06
transcript.pyannote[3083].start 26754.41534375
transcript.pyannote[3083].end 26758.12784375
transcript.pyannote[3084].speaker SPEAKER_06
transcript.pyannote[3084].start 26758.65096875
transcript.pyannote[3084].end 26764.86096875
transcript.pyannote[3085].speaker SPEAKER_06
transcript.pyannote[3085].start 26765.62034375
transcript.pyannote[3085].end 26782.10721875
transcript.pyannote[3086].speaker SPEAKER_06
transcript.pyannote[3086].start 26782.76534375
transcript.pyannote[3086].end 26789.05971875
transcript.pyannote[3087].speaker SPEAKER_13
transcript.pyannote[3087].start 26782.91721875
transcript.pyannote[3087].end 26785.43159375
transcript.pyannote[3088].speaker SPEAKER_13
transcript.pyannote[3088].start 26787.25409375
transcript.pyannote[3088].end 26804.01096875
transcript.pyannote[3089].speaker SPEAKER_06
transcript.pyannote[3089].start 26800.12971875
transcript.pyannote[3089].end 26800.33221875
transcript.pyannote[3090].speaker SPEAKER_06
transcript.pyannote[3090].start 26803.01534375
transcript.pyannote[3090].end 26805.78284375
transcript.pyannote[3091].speaker SPEAKER_06
transcript.pyannote[3091].start 26806.27221875
transcript.pyannote[3091].end 26808.19596875
transcript.pyannote[3092].speaker SPEAKER_06
transcript.pyannote[3092].start 26808.48284375
transcript.pyannote[3092].end 26812.76909375
transcript.pyannote[3093].speaker SPEAKER_06
transcript.pyannote[3093].start 26812.95471875
transcript.pyannote[3093].end 26829.71159375
transcript.pyannote[3094].speaker SPEAKER_13
transcript.pyannote[3094].start 26829.71159375
transcript.pyannote[3094].end 26830.31909375
transcript.pyannote[3095].speaker SPEAKER_06
transcript.pyannote[3095].start 26829.72846875
transcript.pyannote[3095].end 26829.74534375
transcript.pyannote[3096].speaker SPEAKER_06
transcript.pyannote[3096].start 26830.26846875
transcript.pyannote[3096].end 26834.70659375
transcript.pyannote[3097].speaker SPEAKER_13
transcript.pyannote[3097].start 26833.99784375
transcript.pyannote[3097].end 26844.61221875
transcript.pyannote[3098].speaker SPEAKER_06
transcript.pyannote[3098].start 26844.03846875
transcript.pyannote[3098].end 26845.23659375
transcript.pyannote[3099].speaker SPEAKER_13
transcript.pyannote[3099].start 26845.42221875
transcript.pyannote[3099].end 26852.03721875
transcript.pyannote[3100].speaker SPEAKER_06
transcript.pyannote[3100].start 26847.59909375
transcript.pyannote[3100].end 26849.62409375
transcript.pyannote[3101].speaker SPEAKER_13
transcript.pyannote[3101].start 26852.12159375
transcript.pyannote[3101].end 26858.04471875
transcript.pyannote[3102].speaker SPEAKER_06
transcript.pyannote[3102].start 26854.85534375
transcript.pyannote[3102].end 26861.87534375
transcript.pyannote[3103].speaker SPEAKER_12
transcript.pyannote[3103].start 26858.04471875
transcript.pyannote[3103].end 26858.07846875
transcript.pyannote[3104].speaker SPEAKER_12
transcript.pyannote[3104].start 26862.28034375
transcript.pyannote[3104].end 26863.69784375
transcript.pyannote[3105].speaker SPEAKER_12
transcript.pyannote[3105].start 26865.46971875
transcript.pyannote[3105].end 26868.05159375
transcript.pyannote[3106].speaker SPEAKER_12
transcript.pyannote[3106].start 26868.54096875
transcript.pyannote[3106].end 26870.31284375
transcript.pyannote[3107].speaker SPEAKER_12
transcript.pyannote[3107].start 26870.44784375
transcript.pyannote[3107].end 26871.98346875
transcript.pyannote[3108].speaker SPEAKER_12
transcript.pyannote[3108].start 26872.50659375
transcript.pyannote[3108].end 26873.77221875
transcript.pyannote[3109].speaker SPEAKER_13
transcript.pyannote[3109].start 26872.81034375
transcript.pyannote[3109].end 26872.94534375
transcript.pyannote[3110].speaker SPEAKER_06
transcript.pyannote[3110].start 26872.94534375
transcript.pyannote[3110].end 26873.09721875
transcript.pyannote[3111].speaker SPEAKER_13
transcript.pyannote[3111].start 26873.09721875
transcript.pyannote[3111].end 26873.18159375
transcript.pyannote[3112].speaker SPEAKER_06
transcript.pyannote[3112].start 26873.18159375
transcript.pyannote[3112].end 26873.21534375
transcript.pyannote[3113].speaker SPEAKER_13
transcript.pyannote[3113].start 26873.21534375
transcript.pyannote[3113].end 26873.38409375
transcript.pyannote[3114].speaker SPEAKER_06
transcript.pyannote[3114].start 26873.38409375
transcript.pyannote[3114].end 26873.60346875
transcript.pyannote[3115].speaker SPEAKER_13
transcript.pyannote[3115].start 26873.60346875
transcript.pyannote[3115].end 26873.67096875
transcript.pyannote[3116].speaker SPEAKER_13
transcript.pyannote[3116].start 26873.77221875
transcript.pyannote[3116].end 26875.15596875
transcript.pyannote[3117].speaker SPEAKER_06
transcript.pyannote[3117].start 26876.70846875
transcript.pyannote[3117].end 26876.91096875
transcript.pyannote[3118].speaker SPEAKER_06
transcript.pyannote[3118].start 26877.40034375
transcript.pyannote[3118].end 26878.64909375
transcript.pyannote[3119].speaker SPEAKER_06
transcript.pyannote[3119].start 26879.13846875
transcript.pyannote[3119].end 26883.27284375
transcript.pyannote[3120].speaker SPEAKER_06
transcript.pyannote[3120].start 26883.79596875
transcript.pyannote[3120].end 26885.78721875
transcript.pyannote[3121].speaker SPEAKER_30
transcript.pyannote[3121].start 26887.12034375
transcript.pyannote[3121].end 26888.18346875
transcript.pyannote[3122].speaker SPEAKER_06
transcript.pyannote[3122].start 26888.89221875
transcript.pyannote[3122].end 26905.00784375
transcript.pyannote[3123].speaker SPEAKER_06
transcript.pyannote[3123].start 26905.21034375
transcript.pyannote[3123].end 26915.80784375
transcript.pyannote[3124].speaker SPEAKER_30
transcript.pyannote[3124].start 26916.16221875
transcript.pyannote[3124].end 26951.95409375
transcript.pyannote[3125].speaker SPEAKER_06
transcript.pyannote[3125].start 26950.73909375
transcript.pyannote[3125].end 26974.76909375
transcript.pyannote[3126].speaker SPEAKER_29
transcript.pyannote[3126].start 26959.15971875
transcript.pyannote[3126].end 26961.35346875
transcript.pyannote[3127].speaker SPEAKER_01
transcript.pyannote[3127].start 26961.35346875
transcript.pyannote[3127].end 26961.48846875
transcript.pyannote[3128].speaker SPEAKER_01
transcript.pyannote[3128].start 26968.64346875
transcript.pyannote[3128].end 26968.96409375
transcript.pyannote[3129].speaker SPEAKER_13
transcript.pyannote[3129].start 26968.96409375
transcript.pyannote[3129].end 26970.07784375
transcript.pyannote[3130].speaker SPEAKER_13
transcript.pyannote[3130].start 26975.59596875
transcript.pyannote[3130].end 26978.32971875
transcript.pyannote[3131].speaker SPEAKER_06
transcript.pyannote[3131].start 26977.45221875
transcript.pyannote[3131].end 26979.62909375
transcript.pyannote[3132].speaker SPEAKER_13
transcript.pyannote[3132].start 26979.62909375
transcript.pyannote[3132].end 26979.94971875
transcript.pyannote[3133].speaker SPEAKER_06
transcript.pyannote[3133].start 26980.79346875
transcript.pyannote[3133].end 26981.48534375
transcript.pyannote[3134].speaker SPEAKER_06
transcript.pyannote[3134].start 26982.24471875
transcript.pyannote[3134].end 27007.13534375
transcript.pyannote[3135].speaker SPEAKER_13
transcript.pyannote[3135].start 27006.96659375
transcript.pyannote[3135].end 27015.65721875
transcript.pyannote[3136].speaker SPEAKER_06
transcript.pyannote[3136].start 27014.93159375
transcript.pyannote[3136].end 27019.55534375
transcript.pyannote[3137].speaker SPEAKER_13
transcript.pyannote[3137].start 27017.34471875
transcript.pyannote[3137].end 27021.54659375
transcript.pyannote[3138].speaker SPEAKER_06
transcript.pyannote[3138].start 27019.87596875
transcript.pyannote[3138].end 27026.10284375
transcript.pyannote[3139].speaker SPEAKER_13
transcript.pyannote[3139].start 27026.33909375
transcript.pyannote[3139].end 27027.40221875
transcript.pyannote[3140].speaker SPEAKER_13
transcript.pyannote[3140].start 27027.72284375
transcript.pyannote[3140].end 27034.57409375
transcript.pyannote[3141].speaker SPEAKER_06
transcript.pyannote[3141].start 27027.92534375
transcript.pyannote[3141].end 27028.54971875
transcript.pyannote[3142].speaker SPEAKER_06
transcript.pyannote[3142].start 27033.74721875
transcript.pyannote[3142].end 27034.32096875
transcript.pyannote[3143].speaker SPEAKER_06
transcript.pyannote[3143].start 27034.43909375
transcript.pyannote[3143].end 27039.36659375
transcript.pyannote[3144].speaker SPEAKER_13
transcript.pyannote[3144].start 27034.65846875
transcript.pyannote[3144].end 27035.56971875
transcript.pyannote[3145].speaker SPEAKER_06
transcript.pyannote[3145].start 27040.09221875
transcript.pyannote[3145].end 27046.35284375
transcript.pyannote[3146].speaker SPEAKER_06
transcript.pyannote[3146].start 27046.99409375
transcript.pyannote[3146].end 27049.08659375
transcript.pyannote[3147].speaker SPEAKER_06
transcript.pyannote[3147].start 27049.91346875
transcript.pyannote[3147].end 27064.10534375
transcript.pyannote[3148].speaker SPEAKER_13
transcript.pyannote[3148].start 27064.10534375
transcript.pyannote[3148].end 27076.18784375
transcript.pyannote[3149].speaker SPEAKER_06
transcript.pyannote[3149].start 27075.37784375
transcript.pyannote[3149].end 27118.34159375
transcript.pyannote[3150].speaker SPEAKER_30
transcript.pyannote[3150].start 27110.62971875
transcript.pyannote[3150].end 27110.93346875
transcript.pyannote[3151].speaker SPEAKER_30
transcript.pyannote[3151].start 27118.34159375
transcript.pyannote[3151].end 27137.84909375
transcript.pyannote[3152].speaker SPEAKER_06
transcript.pyannote[3152].start 27136.60034375
transcript.pyannote[3152].end 27138.86159375
transcript.pyannote[3153].speaker SPEAKER_06
transcript.pyannote[3153].start 27139.28346875
transcript.pyannote[3153].end 27143.06346875
transcript.pyannote[3154].speaker SPEAKER_06
transcript.pyannote[3154].start 27143.35034375
transcript.pyannote[3154].end 27148.48034375
transcript.pyannote[3155].speaker SPEAKER_06
transcript.pyannote[3155].start 27148.64909375
transcript.pyannote[3155].end 27150.21846875
transcript.pyannote[3156].speaker SPEAKER_06
transcript.pyannote[3156].start 27150.72471875
transcript.pyannote[3156].end 27158.21721875
transcript.pyannote[3157].speaker SPEAKER_13
transcript.pyannote[3157].start 27159.41534375
transcript.pyannote[3157].end 27166.80659375
transcript.pyannote[3158].speaker SPEAKER_06
transcript.pyannote[3158].start 27166.06409375
transcript.pyannote[3158].end 27170.08034375
transcript.pyannote[3159].speaker SPEAKER_06
transcript.pyannote[3159].start 27171.00846875
transcript.pyannote[3159].end 27181.35284375
transcript.pyannote[3160].speaker SPEAKER_13
transcript.pyannote[3160].start 27171.02534375
transcript.pyannote[3160].end 27172.67909375
transcript.pyannote[3161].speaker SPEAKER_18
transcript.pyannote[3161].start 27172.67909375
transcript.pyannote[3161].end 27172.78034375
transcript.pyannote[3162].speaker SPEAKER_00
transcript.pyannote[3162].start 27172.78034375
transcript.pyannote[3162].end 27172.88159375
transcript.pyannote[3163].speaker SPEAKER_18
transcript.pyannote[3163].start 27172.88159375
transcript.pyannote[3163].end 27172.99971875
transcript.pyannote[3164].speaker SPEAKER_13
transcript.pyannote[3164].start 27172.99971875
transcript.pyannote[3164].end 27173.40471875
transcript.pyannote[3165].speaker SPEAKER_18
transcript.pyannote[3165].start 27173.40471875
transcript.pyannote[3165].end 27173.47221875
transcript.pyannote[3166].speaker SPEAKER_13
transcript.pyannote[3166].start 27181.82534375
transcript.pyannote[3166].end 27196.52346875
transcript.pyannote[3167].speaker SPEAKER_06
transcript.pyannote[3167].start 27196.52346875
transcript.pyannote[3167].end 27209.60159375
transcript.pyannote[3168].speaker SPEAKER_13
transcript.pyannote[3168].start 27197.95784375
transcript.pyannote[3168].end 27198.29534375
transcript.pyannote[3169].speaker SPEAKER_01
transcript.pyannote[3169].start 27198.29534375
transcript.pyannote[3169].end 27198.37971875
transcript.pyannote[3170].speaker SPEAKER_13
transcript.pyannote[3170].start 27199.07159375
transcript.pyannote[3170].end 27199.54409375
transcript.pyannote[3171].speaker SPEAKER_01
transcript.pyannote[3171].start 27199.54409375
transcript.pyannote[3171].end 27199.56096875
transcript.pyannote[3172].speaker SPEAKER_06
transcript.pyannote[3172].start 27209.75346875
transcript.pyannote[3172].end 27210.29346875
transcript.pyannote[3173].speaker SPEAKER_03
transcript.pyannote[3173].start 27211.18784375
transcript.pyannote[3173].end 27212.90909375
transcript.pyannote[3174].speaker SPEAKER_06
transcript.pyannote[3174].start 27213.80346875
transcript.pyannote[3174].end 27225.48096875
transcript.pyannote[3175].speaker SPEAKER_30
transcript.pyannote[3175].start 27225.66659375
transcript.pyannote[3175].end 27226.02096875
transcript.pyannote[3176].speaker SPEAKER_30
transcript.pyannote[3176].start 27226.49346875
transcript.pyannote[3176].end 27249.40971875
transcript.pyannote[3177].speaker SPEAKER_06
transcript.pyannote[3177].start 27248.34659375
transcript.pyannote[3177].end 27254.42159375
transcript.pyannote[3178].speaker SPEAKER_06
transcript.pyannote[3178].start 27254.69159375
transcript.pyannote[3178].end 27260.83409375
transcript.pyannote[3179].speaker SPEAKER_06
transcript.pyannote[3179].start 27261.44159375
transcript.pyannote[3179].end 27279.24471875
transcript.pyannote[3180].speaker SPEAKER_06
transcript.pyannote[3180].start 27279.44721875
transcript.pyannote[3180].end 27288.66096875
transcript.pyannote[3181].speaker SPEAKER_30
transcript.pyannote[3181].start 27288.77909375
transcript.pyannote[3181].end 27316.04909375
transcript.pyannote[3182].speaker SPEAKER_06
transcript.pyannote[3182].start 27315.05346875
transcript.pyannote[3182].end 27328.30034375
transcript.pyannote[3183].speaker SPEAKER_30
transcript.pyannote[3183].start 27317.73659375
transcript.pyannote[3183].end 27318.39471875
transcript.pyannote[3184].speaker SPEAKER_29
transcript.pyannote[3184].start 27318.39471875
transcript.pyannote[3184].end 27318.42846875
transcript.pyannote[3185].speaker SPEAKER_30
transcript.pyannote[3185].start 27320.30159375
transcript.pyannote[3185].end 27325.19534375
transcript.pyannote[3186].speaker SPEAKER_30
transcript.pyannote[3186].start 27326.86596875
transcript.pyannote[3186].end 27330.51096875
transcript.pyannote[3187].speaker SPEAKER_30
transcript.pyannote[3187].start 27331.08471875
transcript.pyannote[3187].end 27331.50659375
transcript.pyannote[3188].speaker SPEAKER_30
transcript.pyannote[3188].start 27331.81034375
transcript.pyannote[3188].end 27335.80971875
transcript.pyannote[3189].speaker SPEAKER_30
transcript.pyannote[3189].start 27335.89409375
transcript.pyannote[3189].end 27350.76096875
transcript.pyannote[3190].speaker SPEAKER_30
transcript.pyannote[3190].start 27351.09846875
transcript.pyannote[3190].end 27359.29971875
transcript.pyannote[3191].speaker SPEAKER_06
transcript.pyannote[3191].start 27359.29971875
transcript.pyannote[3191].end 27359.43471875
transcript.pyannote[3192].speaker SPEAKER_29
transcript.pyannote[3192].start 27359.43471875
transcript.pyannote[3192].end 27360.44721875
transcript.pyannote[3193].speaker SPEAKER_06
transcript.pyannote[3193].start 27359.63721875
transcript.pyannote[3193].end 27359.67096875
transcript.pyannote[3194].speaker SPEAKER_30
transcript.pyannote[3194].start 27359.67096875
transcript.pyannote[3194].end 27364.42971875
transcript.pyannote[3195].speaker SPEAKER_06
transcript.pyannote[3195].start 27360.44721875
transcript.pyannote[3195].end 27361.32471875
transcript.pyannote[3196].speaker SPEAKER_06
transcript.pyannote[3196].start 27363.45096875
transcript.pyannote[3196].end 27366.96096875
transcript.pyannote[3197].speaker SPEAKER_29
transcript.pyannote[3197].start 27364.42971875
transcript.pyannote[3197].end 27364.48034375
transcript.pyannote[3198].speaker SPEAKER_06
transcript.pyannote[3198].start 27367.60221875
transcript.pyannote[3198].end 27396.49221875
transcript.pyannote[3199].speaker SPEAKER_30
transcript.pyannote[3199].start 27397.08284375
transcript.pyannote[3199].end 27398.50034375
transcript.pyannote[3200].speaker SPEAKER_06
transcript.pyannote[3200].start 27398.33159375
transcript.pyannote[3200].end 27398.41596875
transcript.pyannote[3201].speaker SPEAKER_07
transcript.pyannote[3201].start 27398.41596875
transcript.pyannote[3201].end 27398.46659375
transcript.pyannote[3202].speaker SPEAKER_07
transcript.pyannote[3202].start 27398.50034375
transcript.pyannote[3202].end 27404.92971875
transcript.pyannote[3203].speaker SPEAKER_30
transcript.pyannote[3203].start 27399.22596875
transcript.pyannote[3203].end 27401.87534375
transcript.pyannote[3204].speaker SPEAKER_30
transcript.pyannote[3204].start 27403.17471875
transcript.pyannote[3204].end 27406.38096875
transcript.pyannote[3205].speaker SPEAKER_07
transcript.pyannote[3205].start 27406.60034375
transcript.pyannote[3205].end 27406.66784375
transcript.pyannote[3206].speaker SPEAKER_06
transcript.pyannote[3206].start 27406.66784375
transcript.pyannote[3206].end 27415.62846875
transcript.pyannote[3207].speaker SPEAKER_30
transcript.pyannote[3207].start 27415.62846875
transcript.pyannote[3207].end 27425.82096875
transcript.pyannote[3208].speaker SPEAKER_30
transcript.pyannote[3208].start 27426.61409375
transcript.pyannote[3208].end 27436.84034375
transcript.pyannote[3209].speaker SPEAKER_07
transcript.pyannote[3209].start 27434.69721875
transcript.pyannote[3209].end 27448.04534375
transcript.pyannote[3210].speaker SPEAKER_06
transcript.pyannote[3210].start 27447.53909375
transcript.pyannote[3210].end 27447.94409375
transcript.pyannote[3211].speaker SPEAKER_06
transcript.pyannote[3211].start 27448.04534375
transcript.pyannote[3211].end 27483.53346875
transcript.pyannote[3212].speaker SPEAKER_07
transcript.pyannote[3212].start 27448.34909375
transcript.pyannote[3212].end 27448.45034375
transcript.pyannote[3213].speaker SPEAKER_30
transcript.pyannote[3213].start 27483.55034375
transcript.pyannote[3213].end 27494.72159375
transcript.pyannote[3214].speaker SPEAKER_30
transcript.pyannote[3214].start 27494.97471875
transcript.pyannote[3214].end 27500.86409375
transcript.pyannote[3215].speaker SPEAKER_06
transcript.pyannote[3215].start 27496.86471875
transcript.pyannote[3215].end 27507.14159375
transcript.pyannote[3216].speaker SPEAKER_29
transcript.pyannote[3216].start 27507.47909375
transcript.pyannote[3216].end 27511.27596875
transcript.pyannote[3217].speaker SPEAKER_06
transcript.pyannote[3217].start 27507.47909375
transcript.pyannote[3217].end 27523.03784375
transcript.pyannote[3218].speaker SPEAKER_06
transcript.pyannote[3218].start 27523.25721875
transcript.pyannote[3218].end 27583.77096875
transcript.pyannote[3219].speaker SPEAKER_03
transcript.pyannote[3219].start 27594.21659375
transcript.pyannote[3219].end 27597.37221875
transcript.pyannote[3220].speaker SPEAKER_03
transcript.pyannote[3220].start 27597.97971875
transcript.pyannote[3220].end 27600.83159375
transcript.pyannote[3221].speaker SPEAKER_03
transcript.pyannote[3221].start 27601.57409375
transcript.pyannote[3221].end 27603.49784375
transcript.pyannote[3222].speaker SPEAKER_26
transcript.pyannote[3222].start 27615.85034375
transcript.pyannote[3222].end 27616.86284375
transcript.pyannote[3223].speaker SPEAKER_26
transcript.pyannote[3223].start 27617.65596875
transcript.pyannote[3223].end 27619.00596875
transcript.pyannote[3224].speaker SPEAKER_26
transcript.pyannote[3224].start 27619.57971875
transcript.pyannote[3224].end 27623.08971875
transcript.pyannote[3225].speaker SPEAKER_03
transcript.pyannote[3225].start 27622.48221875
transcript.pyannote[3225].end 27623.96721875
transcript.pyannote[3226].speaker SPEAKER_26
transcript.pyannote[3226].start 27623.51159375
transcript.pyannote[3226].end 27624.60846875
transcript.pyannote[3227].speaker SPEAKER_26
transcript.pyannote[3227].start 27625.33409375
transcript.pyannote[3227].end 27626.83596875
transcript.pyannote[3228].speaker SPEAKER_03
transcript.pyannote[3228].start 27626.83596875
transcript.pyannote[3228].end 27626.85284375
transcript.pyannote[3229].speaker SPEAKER_26
transcript.pyannote[3229].start 27626.85284375
transcript.pyannote[3229].end 27626.86971875
transcript.pyannote[3230].speaker SPEAKER_30
transcript.pyannote[3230].start 27628.55721875
transcript.pyannote[3230].end 27630.71721875
transcript.pyannote[3231].speaker SPEAKER_26
transcript.pyannote[3231].start 27630.71721875
transcript.pyannote[3231].end 27630.75096875
transcript.pyannote[3232].speaker SPEAKER_26
transcript.pyannote[3232].start 27631.02096875
transcript.pyannote[3232].end 27632.37096875
transcript.pyannote[3233].speaker SPEAKER_26
transcript.pyannote[3233].start 27632.97846875
transcript.pyannote[3233].end 27633.24846875
transcript.pyannote[3234].speaker SPEAKER_26
transcript.pyannote[3234].start 27633.73784375
transcript.pyannote[3234].end 27635.18909375
transcript.pyannote[3235].speaker SPEAKER_26
transcript.pyannote[3235].start 27635.83034375
transcript.pyannote[3235].end 27640.42034375
transcript.pyannote[3236].speaker SPEAKER_26
transcript.pyannote[3236].start 27640.58909375
transcript.pyannote[3236].end 27641.65221875
transcript.pyannote[3237].speaker SPEAKER_26
transcript.pyannote[3237].start 27641.97284375
transcript.pyannote[3237].end 27651.65909375
transcript.pyannote[3238].speaker SPEAKER_30
transcript.pyannote[3238].start 27644.70659375
transcript.pyannote[3238].end 27646.86659375
transcript.pyannote[3239].speaker SPEAKER_26
transcript.pyannote[3239].start 27652.58721875
transcript.pyannote[3239].end 27655.96221875
transcript.pyannote[3240].speaker SPEAKER_26
transcript.pyannote[3240].start 27656.40096875
transcript.pyannote[3240].end 27661.05846875
transcript.pyannote[3241].speaker SPEAKER_26
transcript.pyannote[3241].start 27661.61534375
transcript.pyannote[3241].end 27663.20159375
transcript.pyannote[3242].speaker SPEAKER_26
transcript.pyannote[3242].start 27663.30284375
transcript.pyannote[3242].end 27667.96034375
transcript.pyannote[3243].speaker SPEAKER_26
transcript.pyannote[3243].start 27668.38221875
transcript.pyannote[3243].end 27674.89596875
transcript.pyannote[3244].speaker SPEAKER_26
transcript.pyannote[3244].start 27675.04784375
transcript.pyannote[3244].end 27676.66784375
transcript.pyannote[3245].speaker SPEAKER_26
transcript.pyannote[3245].start 27677.81534375
transcript.pyannote[3245].end 27679.82346875
transcript.pyannote[3246].speaker SPEAKER_26
transcript.pyannote[3246].start 27680.65034375
transcript.pyannote[3246].end 27688.02471875
transcript.pyannote[3247].speaker SPEAKER_26
transcript.pyannote[3247].start 27688.53096875
transcript.pyannote[3247].end 27697.71096875
transcript.pyannote[3248].speaker SPEAKER_26
transcript.pyannote[3248].start 27698.43659375
transcript.pyannote[3248].end 27701.92971875
transcript.pyannote[3249].speaker SPEAKER_26
transcript.pyannote[3249].start 27702.38534375
transcript.pyannote[3249].end 27704.59596875
transcript.pyannote[3250].speaker SPEAKER_26
transcript.pyannote[3250].start 27704.84909375
transcript.pyannote[3250].end 27706.75596875
transcript.pyannote[3251].speaker SPEAKER_26
transcript.pyannote[3251].start 27706.85721875
transcript.pyannote[3251].end 27709.21971875
transcript.pyannote[3252].speaker SPEAKER_26
transcript.pyannote[3252].start 27709.81034375
transcript.pyannote[3252].end 27714.55221875
transcript.pyannote[3253].speaker SPEAKER_26
transcript.pyannote[3253].start 27715.29471875
transcript.pyannote[3253].end 27720.35721875
transcript.pyannote[3254].speaker SPEAKER_26
transcript.pyannote[3254].start 27720.93096875
transcript.pyannote[3254].end 27723.49596875
transcript.pyannote[3255].speaker SPEAKER_26
transcript.pyannote[3255].start 27723.73221875
transcript.pyannote[3255].end 27725.14971875
transcript.pyannote[3256].speaker SPEAKER_26
transcript.pyannote[3256].start 27725.67284375
transcript.pyannote[3256].end 27731.35971875
transcript.pyannote[3257].speaker SPEAKER_26
transcript.pyannote[3257].start 27731.57909375
transcript.pyannote[3257].end 27734.58284375
transcript.pyannote[3258].speaker SPEAKER_26
transcript.pyannote[3258].start 27735.27471875
transcript.pyannote[3258].end 27739.81409375
transcript.pyannote[3259].speaker SPEAKER_26
transcript.pyannote[3259].start 27740.15159375
transcript.pyannote[3259].end 27746.37846875
transcript.pyannote[3260].speaker SPEAKER_26
transcript.pyannote[3260].start 27747.01971875
transcript.pyannote[3260].end 27749.39909375
transcript.pyannote[3261].speaker SPEAKER_26
transcript.pyannote[3261].start 27749.60159375
transcript.pyannote[3261].end 27750.71534375
transcript.pyannote[3262].speaker SPEAKER_26
transcript.pyannote[3262].start 27751.66034375
transcript.pyannote[3262].end 27752.70659375
transcript.pyannote[3263].speaker SPEAKER_26
transcript.pyannote[3263].start 27752.74034375
transcript.pyannote[3263].end 27753.87096875
transcript.pyannote[3264].speaker SPEAKER_26
transcript.pyannote[3264].start 27754.32659375
transcript.pyannote[3264].end 27755.77784375
transcript.pyannote[3265].speaker SPEAKER_26
transcript.pyannote[3265].start 27756.38534375
transcript.pyannote[3265].end 27759.59159375
transcript.pyannote[3266].speaker SPEAKER_26
transcript.pyannote[3266].start 27760.06409375
transcript.pyannote[3266].end 27765.02534375
transcript.pyannote[3267].speaker SPEAKER_26
transcript.pyannote[3267].start 27765.56534375
transcript.pyannote[3267].end 27768.18096875
transcript.pyannote[3268].speaker SPEAKER_26
transcript.pyannote[3268].start 27768.34971875
transcript.pyannote[3268].end 27770.40846875
transcript.pyannote[3269].speaker SPEAKER_26
transcript.pyannote[3269].start 27770.96534375
transcript.pyannote[3269].end 27777.15846875
transcript.pyannote[3270].speaker SPEAKER_26
transcript.pyannote[3270].start 27777.52971875
transcript.pyannote[3270].end 27779.01471875
transcript.pyannote[3271].speaker SPEAKER_26
transcript.pyannote[3271].start 27779.97659375
transcript.pyannote[3271].end 27781.59659375
transcript.pyannote[3272].speaker SPEAKER_26
transcript.pyannote[3272].start 27782.20409375
transcript.pyannote[3272].end 27785.34284375
transcript.pyannote[3273].speaker SPEAKER_26
transcript.pyannote[3273].start 27785.95034375
transcript.pyannote[3273].end 27787.36784375
transcript.pyannote[3274].speaker SPEAKER_26
transcript.pyannote[3274].start 27787.97534375
transcript.pyannote[3274].end 27793.84784375
transcript.pyannote[3275].speaker SPEAKER_26
transcript.pyannote[3275].start 27794.33721875
transcript.pyannote[3275].end 27797.91471875
transcript.pyannote[3276].speaker SPEAKER_26
transcript.pyannote[3276].start 27798.40409375
transcript.pyannote[3276].end 27798.80909375
transcript.pyannote[3277].speaker SPEAKER_26
transcript.pyannote[3277].start 27799.11284375
transcript.pyannote[3277].end 27802.65659375
transcript.pyannote[3278].speaker SPEAKER_26
transcript.pyannote[3278].start 27803.16284375
transcript.pyannote[3278].end 27805.50846875
transcript.pyannote[3279].speaker SPEAKER_26
transcript.pyannote[3279].start 27805.93034375
transcript.pyannote[3279].end 27808.64721875
transcript.pyannote[3280].speaker SPEAKER_26
transcript.pyannote[3280].start 27808.95096875
transcript.pyannote[3280].end 27809.44034375
transcript.pyannote[3281].speaker SPEAKER_26
transcript.pyannote[3281].start 27809.76096875
transcript.pyannote[3281].end 27814.92471875
transcript.pyannote[3282].speaker SPEAKER_26
transcript.pyannote[3282].start 27815.58284375
transcript.pyannote[3282].end 27818.48534375
transcript.pyannote[3283].speaker SPEAKER_26
transcript.pyannote[3283].start 27818.56971875
transcript.pyannote[3283].end 27820.54409375
transcript.pyannote[3284].speaker SPEAKER_26
transcript.pyannote[3284].start 27821.06721875
transcript.pyannote[3284].end 27827.04096875
transcript.pyannote[3285].speaker SPEAKER_13
transcript.pyannote[3285].start 27825.48846875
transcript.pyannote[3285].end 27827.63159375
transcript.pyannote[3286].speaker SPEAKER_13
transcript.pyannote[3286].start 27828.00284375
transcript.pyannote[3286].end 27829.69034375
transcript.pyannote[3287].speaker SPEAKER_13
transcript.pyannote[3287].start 27829.90971875
transcript.pyannote[3287].end 27866.07284375
transcript.pyannote[3288].speaker SPEAKER_23
transcript.pyannote[3288].start 27842.88659375
transcript.pyannote[3288].end 27844.69221875
transcript.pyannote[3289].speaker SPEAKER_26
transcript.pyannote[3289].start 27864.03096875
transcript.pyannote[3289].end 27864.43596875
transcript.pyannote[3290].speaker SPEAKER_26
transcript.pyannote[3290].start 27865.24596875
transcript.pyannote[3290].end 27877.42971875
transcript.pyannote[3291].speaker SPEAKER_26
transcript.pyannote[3291].start 27877.63221875
transcript.pyannote[3291].end 27877.64909375
transcript.pyannote[3292].speaker SPEAKER_13
transcript.pyannote[3292].start 27877.64909375
transcript.pyannote[3292].end 27880.36596875
transcript.pyannote[3293].speaker SPEAKER_13
transcript.pyannote[3293].start 27880.75409375
transcript.pyannote[3293].end 27882.94784375
transcript.pyannote[3294].speaker SPEAKER_13
transcript.pyannote[3294].start 27883.13346875
transcript.pyannote[3294].end 27887.16659375
transcript.pyannote[3295].speaker SPEAKER_26
transcript.pyannote[3295].start 27887.16659375
transcript.pyannote[3295].end 27899.68784375
transcript.pyannote[3296].speaker SPEAKER_13
transcript.pyannote[3296].start 27890.77784375
transcript.pyannote[3296].end 27892.21221875
transcript.pyannote[3297].speaker SPEAKER_13
transcript.pyannote[3297].start 27892.80284375
transcript.pyannote[3297].end 27896.02596875
transcript.pyannote[3298].speaker SPEAKER_18
transcript.pyannote[3298].start 27896.02596875
transcript.pyannote[3298].end 27896.39721875
transcript.pyannote[3299].speaker SPEAKER_13
transcript.pyannote[3299].start 27896.39721875
transcript.pyannote[3299].end 27898.60784375
transcript.pyannote[3300].speaker SPEAKER_13
transcript.pyannote[3300].start 27898.84409375
transcript.pyannote[3300].end 27899.11409375
transcript.pyannote[3301].speaker SPEAKER_13
transcript.pyannote[3301].start 27899.68784375
transcript.pyannote[3301].end 27899.70471875
transcript.pyannote[3302].speaker SPEAKER_26
transcript.pyannote[3302].start 27899.70471875
transcript.pyannote[3302].end 27901.00409375
transcript.pyannote[3303].speaker SPEAKER_13
transcript.pyannote[3303].start 27899.97471875
transcript.pyannote[3303].end 27915.53346875
transcript.pyannote[3304].speaker SPEAKER_18
transcript.pyannote[3304].start 27901.00409375
transcript.pyannote[3304].end 27901.03784375
transcript.pyannote[3305].speaker SPEAKER_26
transcript.pyannote[3305].start 27915.53346875
transcript.pyannote[3305].end 27923.46471875
transcript.pyannote[3306].speaker SPEAKER_26
transcript.pyannote[3306].start 27923.97096875
transcript.pyannote[3306].end 27927.98721875
transcript.pyannote[3307].speaker SPEAKER_30
transcript.pyannote[3307].start 27927.98721875
transcript.pyannote[3307].end 27950.95409375
transcript.pyannote[3308].speaker SPEAKER_00
transcript.pyannote[3308].start 27942.11159375
transcript.pyannote[3308].end 27942.16221875
transcript.pyannote[3309].speaker SPEAKER_26
transcript.pyannote[3309].start 27942.16221875
transcript.pyannote[3309].end 27942.21284375
transcript.pyannote[3310].speaker SPEAKER_00
transcript.pyannote[3310].start 27942.21284375
transcript.pyannote[3310].end 27942.29721875
transcript.pyannote[3311].speaker SPEAKER_26
transcript.pyannote[3311].start 27949.14846875
transcript.pyannote[3311].end 27955.07159375
transcript.pyannote[3312].speaker SPEAKER_30
transcript.pyannote[3312].start 27953.56971875
transcript.pyannote[3312].end 27957.75471875
transcript.pyannote[3313].speaker SPEAKER_26
transcript.pyannote[3313].start 27957.41721875
transcript.pyannote[3313].end 27960.01596875
transcript.pyannote[3314].speaker SPEAKER_26
transcript.pyannote[3314].start 27960.28596875
transcript.pyannote[3314].end 27964.62284375
transcript.pyannote[3315].speaker SPEAKER_30
transcript.pyannote[3315].start 27962.12534375
transcript.pyannote[3315].end 27962.51346875
transcript.pyannote[3316].speaker SPEAKER_30
transcript.pyannote[3316].start 27962.58096875
transcript.pyannote[3316].end 27962.66534375
transcript.pyannote[3317].speaker SPEAKER_26
transcript.pyannote[3317].start 27965.29784375
transcript.pyannote[3317].end 27970.66409375
transcript.pyannote[3318].speaker SPEAKER_30
transcript.pyannote[3318].start 27966.25971875
transcript.pyannote[3318].end 27966.47909375
transcript.pyannote[3319].speaker SPEAKER_26
transcript.pyannote[3319].start 27970.90034375
transcript.pyannote[3319].end 27982.13909375
transcript.pyannote[3320].speaker SPEAKER_26
transcript.pyannote[3320].start 27982.25721875
transcript.pyannote[3320].end 27987.31971875
transcript.pyannote[3321].speaker SPEAKER_13
transcript.pyannote[3321].start 27985.93596875
transcript.pyannote[3321].end 27992.36534375
transcript.pyannote[3322].speaker SPEAKER_30
transcript.pyannote[3322].start 27992.36534375
transcript.pyannote[3322].end 27992.77034375
transcript.pyannote[3323].speaker SPEAKER_13
transcript.pyannote[3323].start 27992.55096875
transcript.pyannote[3323].end 28003.35096875
transcript.pyannote[3324].speaker SPEAKER_26
transcript.pyannote[3324].start 28001.20784375
transcript.pyannote[3324].end 28001.30909375
transcript.pyannote[3325].speaker SPEAKER_26
transcript.pyannote[3325].start 28001.95034375
transcript.pyannote[3325].end 28009.22346875
transcript.pyannote[3326].speaker SPEAKER_13
transcript.pyannote[3326].start 28008.81846875
transcript.pyannote[3326].end 28010.28659375
transcript.pyannote[3327].speaker SPEAKER_26
transcript.pyannote[3327].start 28010.28659375
transcript.pyannote[3327].end 28010.37096875
transcript.pyannote[3328].speaker SPEAKER_13
transcript.pyannote[3328].start 28010.37096875
transcript.pyannote[3328].end 28010.38784375
transcript.pyannote[3329].speaker SPEAKER_26
transcript.pyannote[3329].start 28010.38784375
transcript.pyannote[3329].end 28010.97846875
transcript.pyannote[3330].speaker SPEAKER_13
transcript.pyannote[3330].start 28010.97846875
transcript.pyannote[3330].end 28011.34971875
transcript.pyannote[3331].speaker SPEAKER_26
transcript.pyannote[3331].start 28011.34971875
transcript.pyannote[3331].end 28011.45096875
transcript.pyannote[3332].speaker SPEAKER_13
transcript.pyannote[3332].start 28011.45096875
transcript.pyannote[3332].end 28011.70409375
transcript.pyannote[3333].speaker SPEAKER_26
transcript.pyannote[3333].start 28012.58159375
transcript.pyannote[3333].end 28012.59846875
transcript.pyannote[3334].speaker SPEAKER_13
transcript.pyannote[3334].start 28012.59846875
transcript.pyannote[3334].end 28012.61534375
transcript.pyannote[3335].speaker SPEAKER_26
transcript.pyannote[3335].start 28012.61534375
transcript.pyannote[3335].end 28015.36596875
transcript.pyannote[3336].speaker SPEAKER_13
transcript.pyannote[3336].start 28012.83471875
transcript.pyannote[3336].end 28014.74159375
transcript.pyannote[3337].speaker SPEAKER_26
transcript.pyannote[3337].start 28015.77096875
transcript.pyannote[3337].end 28018.03221875
transcript.pyannote[3338].speaker SPEAKER_26
transcript.pyannote[3338].start 28020.98534375
transcript.pyannote[3338].end 28026.43596875
transcript.pyannote[3339].speaker SPEAKER_03
transcript.pyannote[3339].start 28023.36471875
transcript.pyannote[3339].end 28024.02284375
transcript.pyannote[3340].speaker SPEAKER_01
transcript.pyannote[3340].start 28024.98471875
transcript.pyannote[3340].end 28025.00159375
transcript.pyannote[3341].speaker SPEAKER_03
transcript.pyannote[3341].start 28025.00159375
transcript.pyannote[3341].end 28027.07721875
transcript.pyannote[3342].speaker SPEAKER_01
transcript.pyannote[3342].start 28027.07721875
transcript.pyannote[3342].end 28027.44846875
transcript.pyannote[3343].speaker SPEAKER_01
transcript.pyannote[3343].start 28031.38034375
transcript.pyannote[3343].end 28031.66721875
transcript.pyannote[3344].speaker SPEAKER_26
transcript.pyannote[3344].start 28032.15659375
transcript.pyannote[3344].end 28039.95284375
transcript.pyannote[3345].speaker SPEAKER_26
transcript.pyannote[3345].start 28040.40846875
transcript.pyannote[3345].end 28042.53471875
transcript.pyannote[3346].speaker SPEAKER_26
transcript.pyannote[3346].start 28043.36159375
transcript.pyannote[3346].end 28045.62284375
transcript.pyannote[3347].speaker SPEAKER_26
transcript.pyannote[3347].start 28046.36534375
transcript.pyannote[3347].end 28048.06971875
transcript.pyannote[3348].speaker SPEAKER_26
transcript.pyannote[3348].start 28048.50846875
transcript.pyannote[3348].end 28057.58721875
transcript.pyannote[3349].speaker SPEAKER_26
transcript.pyannote[3349].start 28058.54909375
transcript.pyannote[3349].end 28062.78471875
transcript.pyannote[3350].speaker SPEAKER_26
transcript.pyannote[3350].start 28063.25721875
transcript.pyannote[3350].end 28065.77159375
transcript.pyannote[3351].speaker SPEAKER_26
transcript.pyannote[3351].start 28065.92346875
transcript.pyannote[3351].end 28070.96909375
transcript.pyannote[3352].speaker SPEAKER_27
transcript.pyannote[3352].start 28070.96909375
transcript.pyannote[3352].end 28071.17159375
transcript.pyannote[3353].speaker SPEAKER_26
transcript.pyannote[3353].start 28071.17159375
transcript.pyannote[3353].end 28073.60159375
transcript.pyannote[3354].speaker SPEAKER_27
transcript.pyannote[3354].start 28071.28971875
transcript.pyannote[3354].end 28071.54284375
transcript.pyannote[3355].speaker SPEAKER_26
transcript.pyannote[3355].start 28074.15846875
transcript.pyannote[3355].end 28077.65159375
transcript.pyannote[3356].speaker SPEAKER_26
transcript.pyannote[3356].start 28078.25909375
transcript.pyannote[3356].end 28094.12159375
transcript.pyannote[3357].speaker SPEAKER_27
transcript.pyannote[3357].start 28085.29596875
transcript.pyannote[3357].end 28086.17346875
transcript.pyannote[3358].speaker SPEAKER_01
transcript.pyannote[3358].start 28091.50596875
transcript.pyannote[3358].end 28092.02909375
transcript.pyannote[3359].speaker SPEAKER_27
transcript.pyannote[3359].start 28092.02909375
transcript.pyannote[3359].end 28093.93596875
transcript.pyannote[3360].speaker SPEAKER_01
transcript.pyannote[3360].start 28093.93596875
transcript.pyannote[3360].end 28093.96971875
transcript.pyannote[3361].speaker SPEAKER_27
transcript.pyannote[3361].start 28093.96971875
transcript.pyannote[3361].end 28094.00346875
transcript.pyannote[3362].speaker SPEAKER_26
transcript.pyannote[3362].start 28094.54346875
transcript.pyannote[3362].end 28097.86784375
transcript.pyannote[3363].speaker SPEAKER_26
transcript.pyannote[3363].start 28098.81284375
transcript.pyannote[3363].end 28101.17534375
transcript.pyannote[3364].speaker SPEAKER_27
transcript.pyannote[3364].start 28101.17534375
transcript.pyannote[3364].end 28101.86721875
transcript.pyannote[3365].speaker SPEAKER_26
transcript.pyannote[3365].start 28102.25534375
transcript.pyannote[3365].end 28103.25096875
transcript.pyannote[3366].speaker SPEAKER_27
transcript.pyannote[3366].start 28102.64346875
transcript.pyannote[3366].end 28103.36909375
transcript.pyannote[3367].speaker SPEAKER_26
transcript.pyannote[3367].start 28103.65596875
transcript.pyannote[3367].end 28105.86659375
transcript.pyannote[3368].speaker SPEAKER_26
transcript.pyannote[3368].start 28106.71034375
transcript.pyannote[3368].end 28107.92534375
transcript.pyannote[3369].speaker SPEAKER_26
transcript.pyannote[3369].start 28108.58346875
transcript.pyannote[3369].end 28113.96659375
transcript.pyannote[3370].speaker SPEAKER_13
transcript.pyannote[3370].start 28112.75159375
transcript.pyannote[3370].end 28113.73034375
transcript.pyannote[3371].speaker SPEAKER_13
transcript.pyannote[3371].start 28113.96659375
transcript.pyannote[3371].end 28125.91409375
transcript.pyannote[3372].speaker SPEAKER_26
transcript.pyannote[3372].start 28119.67034375
transcript.pyannote[3372].end 28122.75846875
transcript.pyannote[3373].speaker SPEAKER_26
transcript.pyannote[3373].start 28124.59784375
transcript.pyannote[3373].end 28138.62096875
transcript.pyannote[3374].speaker SPEAKER_13
transcript.pyannote[3374].start 28130.04846875
transcript.pyannote[3374].end 28130.62221875
transcript.pyannote[3375].speaker SPEAKER_13
transcript.pyannote[3375].start 28130.79096875
transcript.pyannote[3375].end 28131.73596875
transcript.pyannote[3376].speaker SPEAKER_13
transcript.pyannote[3376].start 28132.96784375
transcript.pyannote[3376].end 28141.37159375
transcript.pyannote[3377].speaker SPEAKER_26
transcript.pyannote[3377].start 28141.35471875
transcript.pyannote[3377].end 28142.18159375
transcript.pyannote[3378].speaker SPEAKER_26
transcript.pyannote[3378].start 28142.33346875
transcript.pyannote[3378].end 28157.74034375
transcript.pyannote[3379].speaker SPEAKER_01
transcript.pyannote[3379].start 28157.74034375
transcript.pyannote[3379].end 28157.85846875
transcript.pyannote[3380].speaker SPEAKER_27
transcript.pyannote[3380].start 28157.85846875
transcript.pyannote[3380].end 28157.89221875
transcript.pyannote[3381].speaker SPEAKER_26
transcript.pyannote[3381].start 28157.89221875
transcript.pyannote[3381].end 28157.97659375
transcript.pyannote[3382].speaker SPEAKER_27
transcript.pyannote[3382].start 28157.97659375
transcript.pyannote[3382].end 28158.21284375
transcript.pyannote[3383].speaker SPEAKER_01
transcript.pyannote[3383].start 28158.21284375
transcript.pyannote[3383].end 28158.26346875
transcript.pyannote[3384].speaker SPEAKER_26
transcript.pyannote[3384].start 28158.26346875
transcript.pyannote[3384].end 28160.77784375
transcript.pyannote[3385].speaker SPEAKER_27
transcript.pyannote[3385].start 28158.29721875
transcript.pyannote[3385].end 28163.93346875
transcript.pyannote[3386].speaker SPEAKER_26
transcript.pyannote[3386].start 28162.54971875
transcript.pyannote[3386].end 28165.11471875
transcript.pyannote[3387].speaker SPEAKER_26
transcript.pyannote[3387].start 28165.33409375
transcript.pyannote[3387].end 28174.37909375
transcript.pyannote[3388].speaker SPEAKER_26
transcript.pyannote[3388].start 28174.80096875
transcript.pyannote[3388].end 28176.82596875
transcript.pyannote[3389].speaker SPEAKER_26
transcript.pyannote[3389].start 28176.97784375
transcript.pyannote[3389].end 28178.39534375
transcript.pyannote[3390].speaker SPEAKER_26
transcript.pyannote[3390].start 28178.83409375
transcript.pyannote[3390].end 28180.09971875
transcript.pyannote[3391].speaker SPEAKER_26
transcript.pyannote[3391].start 28180.58909375
transcript.pyannote[3391].end 28183.59284375
transcript.pyannote[3392].speaker SPEAKER_26
transcript.pyannote[3392].start 28184.01471875
transcript.pyannote[3392].end 28188.50346875
transcript.pyannote[3393].speaker SPEAKER_13
transcript.pyannote[3393].start 28185.01034375
transcript.pyannote[3393].end 28200.78846875
transcript.pyannote[3394].speaker SPEAKER_27
transcript.pyannote[3394].start 28193.59971875
transcript.pyannote[3394].end 28194.20721875
transcript.pyannote[3395].speaker SPEAKER_26
transcript.pyannote[3395].start 28194.20721875
transcript.pyannote[3395].end 28195.08471875
transcript.pyannote[3396].speaker SPEAKER_00
transcript.pyannote[3396].start 28195.08471875
transcript.pyannote[3396].end 28195.10159375
transcript.pyannote[3397].speaker SPEAKER_26
transcript.pyannote[3397].start 28199.65784375
transcript.pyannote[3397].end 28201.26096875
transcript.pyannote[3398].speaker SPEAKER_13
transcript.pyannote[3398].start 28201.26096875
transcript.pyannote[3398].end 28202.84721875
transcript.pyannote[3399].speaker SPEAKER_26
transcript.pyannote[3399].start 28201.34534375
transcript.pyannote[3399].end 28205.78346875
transcript.pyannote[3400].speaker SPEAKER_13
transcript.pyannote[3400].start 28204.39971875
transcript.pyannote[3400].end 28218.76034375
transcript.pyannote[3401].speaker SPEAKER_26
transcript.pyannote[3401].start 28217.62971875
transcript.pyannote[3401].end 28236.32721875
transcript.pyannote[3402].speaker SPEAKER_13
transcript.pyannote[3402].start 28235.14596875
transcript.pyannote[3402].end 28240.19159375
transcript.pyannote[3403].speaker SPEAKER_26
transcript.pyannote[3403].start 28239.55034375
transcript.pyannote[3403].end 28241.96346875
transcript.pyannote[3404].speaker SPEAKER_13
transcript.pyannote[3404].start 28241.96346875
transcript.pyannote[3404].end 28242.03096875
transcript.pyannote[3405].speaker SPEAKER_26
transcript.pyannote[3405].start 28242.03096875
transcript.pyannote[3405].end 28242.63846875
transcript.pyannote[3406].speaker SPEAKER_26
transcript.pyannote[3406].start 28243.06034375
transcript.pyannote[3406].end 28244.78159375
transcript.pyannote[3407].speaker SPEAKER_26
transcript.pyannote[3407].start 28245.27096875
transcript.pyannote[3407].end 28247.65034375
transcript.pyannote[3408].speaker SPEAKER_26
transcript.pyannote[3408].start 28248.15659375
transcript.pyannote[3408].end 28249.99596875
transcript.pyannote[3409].speaker SPEAKER_03
transcript.pyannote[3409].start 28249.18596875
transcript.pyannote[3409].end 28249.94534375
transcript.pyannote[3410].speaker SPEAKER_03
transcript.pyannote[3410].start 28249.99596875
transcript.pyannote[3410].end 28250.01284375
transcript.pyannote[3411].speaker SPEAKER_26
transcript.pyannote[3411].start 28250.01284375
transcript.pyannote[3411].end 28250.08034375
transcript.pyannote[3412].speaker SPEAKER_03
transcript.pyannote[3412].start 28250.21534375
transcript.pyannote[3412].end 28250.28284375
transcript.pyannote[3413].speaker SPEAKER_26
transcript.pyannote[3413].start 28250.28284375
transcript.pyannote[3413].end 28251.91971875
transcript.pyannote[3414].speaker SPEAKER_03
transcript.pyannote[3414].start 28250.55284375
transcript.pyannote[3414].end 28251.29534375
transcript.pyannote[3415].speaker SPEAKER_26
transcript.pyannote[3415].start 28256.98221875
transcript.pyannote[3415].end 28258.12971875
transcript.pyannote[3416].speaker SPEAKER_26
transcript.pyannote[3416].start 28259.09159375
transcript.pyannote[3416].end 28261.87596875
transcript.pyannote[3417].speaker SPEAKER_26
transcript.pyannote[3417].start 28262.14596875
transcript.pyannote[3417].end 28263.47909375
transcript.pyannote[3418].speaker SPEAKER_26
transcript.pyannote[3418].start 28263.66471875
transcript.pyannote[3418].end 28268.06909375
transcript.pyannote[3419].speaker SPEAKER_30
transcript.pyannote[3419].start 28265.13284375
transcript.pyannote[3419].end 28266.06096875
transcript.pyannote[3420].speaker SPEAKER_26
transcript.pyannote[3420].start 28268.45721875
transcript.pyannote[3420].end 28271.88284375
transcript.pyannote[3421].speaker SPEAKER_26
transcript.pyannote[3421].start 28272.37221875
transcript.pyannote[3421].end 28274.73471875
transcript.pyannote[3422].speaker SPEAKER_26
transcript.pyannote[3422].start 28275.73034375
transcript.pyannote[3422].end 28277.29971875
transcript.pyannote[3423].speaker SPEAKER_26
transcript.pyannote[3423].start 28278.17721875
transcript.pyannote[3423].end 28284.43784375
transcript.pyannote[3424].speaker SPEAKER_26
transcript.pyannote[3424].start 28284.55596875
transcript.pyannote[3424].end 28294.68096875
transcript.pyannote[3425].speaker SPEAKER_27
transcript.pyannote[3425].start 28287.00284375
transcript.pyannote[3425].end 28290.29346875
transcript.pyannote[3426].speaker SPEAKER_00
transcript.pyannote[3426].start 28290.29346875
transcript.pyannote[3426].end 28290.37784375
transcript.pyannote[3427].speaker SPEAKER_26
transcript.pyannote[3427].start 28295.32221875
transcript.pyannote[3427].end 28295.89596875
transcript.pyannote[3428].speaker SPEAKER_26
transcript.pyannote[3428].start 28296.14909375
transcript.pyannote[3428].end 28298.78159375
transcript.pyannote[3429].speaker SPEAKER_26
transcript.pyannote[3429].start 28299.57471875
transcript.pyannote[3429].end 28302.93284375
transcript.pyannote[3430].speaker SPEAKER_26
transcript.pyannote[3430].start 28303.32096875
transcript.pyannote[3430].end 28304.40096875
transcript.pyannote[3431].speaker SPEAKER_26
transcript.pyannote[3431].start 28304.80596875
transcript.pyannote[3431].end 28306.40909375
transcript.pyannote[3432].speaker SPEAKER_26
transcript.pyannote[3432].start 28306.88159375
transcript.pyannote[3432].end 28310.07096875
transcript.pyannote[3433].speaker SPEAKER_00
transcript.pyannote[3433].start 28307.11784375
transcript.pyannote[3433].end 28307.20221875
transcript.pyannote[3434].speaker SPEAKER_26
transcript.pyannote[3434].start 28310.96534375
transcript.pyannote[3434].end 28314.45846875
transcript.pyannote[3435].speaker SPEAKER_26
transcript.pyannote[3435].start 28314.76221875
transcript.pyannote[3435].end 28322.25471875
transcript.pyannote[3436].speaker SPEAKER_26
transcript.pyannote[3436].start 28322.52471875
transcript.pyannote[3436].end 28325.96721875
transcript.pyannote[3437].speaker SPEAKER_26
transcript.pyannote[3437].start 28326.69284375
transcript.pyannote[3437].end 28331.92409375
transcript.pyannote[3438].speaker SPEAKER_26
transcript.pyannote[3438].start 28332.26159375
transcript.pyannote[3438].end 28334.57346875
transcript.pyannote[3439].speaker SPEAKER_26
transcript.pyannote[3439].start 28335.51846875
transcript.pyannote[3439].end 28337.84721875
transcript.pyannote[3440].speaker SPEAKER_26
transcript.pyannote[3440].start 28338.21846875
transcript.pyannote[3440].end 28342.99409375
transcript.pyannote[3441].speaker SPEAKER_26
transcript.pyannote[3441].start 28343.61846875
transcript.pyannote[3441].end 28348.32659375
transcript.pyannote[3442].speaker SPEAKER_00
transcript.pyannote[3442].start 28343.73659375
transcript.pyannote[3442].end 28343.85471875
transcript.pyannote[3443].speaker SPEAKER_26
transcript.pyannote[3443].start 28348.96784375
transcript.pyannote[3443].end 28350.75659375
transcript.pyannote[3444].speaker SPEAKER_26
transcript.pyannote[3444].start 28351.31346875
transcript.pyannote[3444].end 28353.62534375
transcript.pyannote[3445].speaker SPEAKER_26
transcript.pyannote[3445].start 28353.99659375
transcript.pyannote[3445].end 28356.27471875
transcript.pyannote[3446].speaker SPEAKER_26
transcript.pyannote[3446].start 28356.79784375
transcript.pyannote[3446].end 28357.55721875
transcript.pyannote[3447].speaker SPEAKER_26
transcript.pyannote[3447].start 28358.02971875
transcript.pyannote[3447].end 28359.53159375
transcript.pyannote[3448].speaker SPEAKER_26
transcript.pyannote[3448].start 28360.18971875
transcript.pyannote[3448].end 28360.83096875
transcript.pyannote[3449].speaker SPEAKER_26
transcript.pyannote[3449].start 28361.57346875
transcript.pyannote[3449].end 28362.31596875
transcript.pyannote[3450].speaker SPEAKER_26
transcript.pyannote[3450].start 28362.61971875
transcript.pyannote[3450].end 28364.89784375
transcript.pyannote[3451].speaker SPEAKER_26
transcript.pyannote[3451].start 28365.67409375
transcript.pyannote[3451].end 28368.79596875
transcript.pyannote[3452].speaker SPEAKER_26
transcript.pyannote[3452].start 28369.28534375
transcript.pyannote[3452].end 28372.47471875
transcript.pyannote[3453].speaker SPEAKER_26
transcript.pyannote[3453].start 28373.01471875
transcript.pyannote[3453].end 28375.83284375
transcript.pyannote[3454].speaker SPEAKER_26
transcript.pyannote[3454].start 28376.28846875
transcript.pyannote[3454].end 28378.38096875
transcript.pyannote[3455].speaker SPEAKER_26
transcript.pyannote[3455].start 28379.07284375
transcript.pyannote[3455].end 28382.32971875
transcript.pyannote[3456].speaker SPEAKER_26
transcript.pyannote[3456].start 28382.92034375
transcript.pyannote[3456].end 28384.77659375
transcript.pyannote[3457].speaker SPEAKER_26
transcript.pyannote[3457].start 28385.78909375
transcript.pyannote[3457].end 28390.14284375
transcript.pyannote[3458].speaker SPEAKER_26
transcript.pyannote[3458].start 28390.61534375
transcript.pyannote[3458].end 28392.79221875
transcript.pyannote[3459].speaker SPEAKER_26
transcript.pyannote[3459].start 28393.34909375
transcript.pyannote[3459].end 28395.45846875
transcript.pyannote[3460].speaker SPEAKER_26
transcript.pyannote[3460].start 28395.94784375
transcript.pyannote[3460].end 28397.87159375
transcript.pyannote[3461].speaker SPEAKER_26
transcript.pyannote[3461].start 28398.36096875
transcript.pyannote[3461].end 28403.35596875
transcript.pyannote[3462].speaker SPEAKER_26
transcript.pyannote[3462].start 28404.23346875
transcript.pyannote[3462].end 28405.90409375
transcript.pyannote[3463].speaker SPEAKER_26
transcript.pyannote[3463].start 28406.30909375
transcript.pyannote[3463].end 28408.33409375
transcript.pyannote[3464].speaker SPEAKER_26
transcript.pyannote[3464].start 28408.48596875
transcript.pyannote[3464].end 28410.22409375
transcript.pyannote[3465].speaker SPEAKER_26
transcript.pyannote[3465].start 28410.96659375
transcript.pyannote[3465].end 28413.56534375
transcript.pyannote[3466].speaker SPEAKER_26
transcript.pyannote[3466].start 28414.17284375
transcript.pyannote[3466].end 28415.16846875
transcript.pyannote[3467].speaker SPEAKER_26
transcript.pyannote[3467].start 28415.72534375
transcript.pyannote[3467].end 28417.53096875
transcript.pyannote[3468].speaker SPEAKER_26
transcript.pyannote[3468].start 28418.08784375
transcript.pyannote[3468].end 28425.76596875
transcript.pyannote[3469].speaker SPEAKER_26
transcript.pyannote[3469].start 28426.96409375
transcript.pyannote[3469].end 28428.80346875
transcript.pyannote[3470].speaker SPEAKER_26
transcript.pyannote[3470].start 28429.41096875
transcript.pyannote[3470].end 28430.92971875
transcript.pyannote[3471].speaker SPEAKER_26
transcript.pyannote[3471].start 28431.28409375
transcript.pyannote[3471].end 28432.43159375
transcript.pyannote[3472].speaker SPEAKER_26
transcript.pyannote[3472].start 28433.17409375
transcript.pyannote[3472].end 28441.66221875
transcript.pyannote[3473].speaker SPEAKER_07
transcript.pyannote[3473].start 28440.26159375
transcript.pyannote[3473].end 28440.37971875
transcript.pyannote[3474].speaker SPEAKER_07
transcript.pyannote[3474].start 28440.46409375
transcript.pyannote[3474].end 28441.59471875
transcript.pyannote[3475].speaker SPEAKER_07
transcript.pyannote[3475].start 28441.66221875
transcript.pyannote[3475].end 28441.96596875
transcript.pyannote[3476].speaker SPEAKER_26
transcript.pyannote[3476].start 28441.74659375
transcript.pyannote[3476].end 28443.51846875
transcript.pyannote[3477].speaker SPEAKER_07
transcript.pyannote[3477].start 28443.36659375
transcript.pyannote[3477].end 28444.02471875
transcript.pyannote[3478].speaker SPEAKER_27
transcript.pyannote[3478].start 28444.02471875
transcript.pyannote[3478].end 28444.80096875
transcript.pyannote[3479].speaker SPEAKER_26
transcript.pyannote[3479].start 28444.46346875
transcript.pyannote[3479].end 28444.64909375
transcript.pyannote[3480].speaker SPEAKER_07
transcript.pyannote[3480].start 28444.80096875
transcript.pyannote[3480].end 28444.91909375
transcript.pyannote[3481].speaker SPEAKER_26
transcript.pyannote[3481].start 28444.91909375
transcript.pyannote[3481].end 28444.95284375
transcript.pyannote[3482].speaker SPEAKER_07
transcript.pyannote[3482].start 28444.95284375
transcript.pyannote[3482].end 28444.96971875
transcript.pyannote[3483].speaker SPEAKER_26
transcript.pyannote[3483].start 28444.96971875
transcript.pyannote[3483].end 28445.42534375
transcript.pyannote[3484].speaker SPEAKER_26
transcript.pyannote[3484].start 28445.49284375
transcript.pyannote[3484].end 28447.23096875
transcript.pyannote[3485].speaker SPEAKER_27
transcript.pyannote[3485].start 28447.65284375
transcript.pyannote[3485].end 28451.41596875
transcript.pyannote[3486].speaker SPEAKER_26
transcript.pyannote[3486].start 28451.41596875
transcript.pyannote[3486].end 28452.51284375
transcript.pyannote[3487].speaker SPEAKER_26
transcript.pyannote[3487].start 28453.01909375
transcript.pyannote[3487].end 28460.32596875
transcript.pyannote[3488].speaker SPEAKER_07
transcript.pyannote[3488].start 28459.71846875
transcript.pyannote[3488].end 28464.34221875
transcript.pyannote[3489].speaker SPEAKER_26
transcript.pyannote[3489].start 28462.89096875
transcript.pyannote[3489].end 28465.23659375
transcript.pyannote[3490].speaker SPEAKER_07
transcript.pyannote[3490].start 28464.56159375
transcript.pyannote[3490].end 28473.45471875
transcript.pyannote[3491].speaker SPEAKER_01
transcript.pyannote[3491].start 28472.83034375
transcript.pyannote[3491].end 28473.58971875
transcript.pyannote[3492].speaker SPEAKER_07
transcript.pyannote[3492].start 28473.58971875
transcript.pyannote[3492].end 28479.71534375
transcript.pyannote[3493].speaker SPEAKER_26
transcript.pyannote[3493].start 28479.07409375
transcript.pyannote[3493].end 28484.38971875
transcript.pyannote[3494].speaker SPEAKER_07
transcript.pyannote[3494].start 28481.47034375
transcript.pyannote[3494].end 28486.41471875
transcript.pyannote[3495].speaker SPEAKER_26
transcript.pyannote[3495].start 28484.72721875
transcript.pyannote[3495].end 28491.39284375
transcript.pyannote[3496].speaker SPEAKER_27
transcript.pyannote[3496].start 28489.94159375
transcript.pyannote[3496].end 28490.07659375
transcript.pyannote[3497].speaker SPEAKER_26
transcript.pyannote[3497].start 28491.66284375
transcript.pyannote[3497].end 28493.28284375
transcript.pyannote[3498].speaker SPEAKER_27
transcript.pyannote[3498].start 28492.06784375
transcript.pyannote[3498].end 28492.59096875
transcript.pyannote[3499].speaker SPEAKER_07
transcript.pyannote[3499].start 28492.59096875
transcript.pyannote[3499].end 28492.62471875
transcript.pyannote[3500].speaker SPEAKER_26
transcript.pyannote[3500].start 28494.22784375
transcript.pyannote[3500].end 28494.81846875
transcript.pyannote[3501].speaker SPEAKER_27
transcript.pyannote[3501].start 28495.02096875
transcript.pyannote[3501].end 28495.03784375
transcript.pyannote[3502].speaker SPEAKER_26
transcript.pyannote[3502].start 28495.03784375
transcript.pyannote[3502].end 28497.21471875
transcript.pyannote[3503].speaker SPEAKER_27
transcript.pyannote[3503].start 28497.21471875
transcript.pyannote[3503].end 28507.39034375
transcript.pyannote[3504].speaker SPEAKER_26
transcript.pyannote[3504].start 28503.13784375
transcript.pyannote[3504].end 28503.61034375
transcript.pyannote[3505].speaker SPEAKER_01
transcript.pyannote[3505].start 28503.61034375
transcript.pyannote[3505].end 28503.62721875
transcript.pyannote[3506].speaker SPEAKER_01
transcript.pyannote[3506].start 28506.27659375
transcript.pyannote[3506].end 28506.29346875
transcript.pyannote[3507].speaker SPEAKER_26
transcript.pyannote[3507].start 28506.29346875
transcript.pyannote[3507].end 28507.32284375
transcript.pyannote[3508].speaker SPEAKER_27
transcript.pyannote[3508].start 28507.54221875
transcript.pyannote[3508].end 28511.67659375
transcript.pyannote[3509].speaker SPEAKER_26
transcript.pyannote[3509].start 28508.84159375
transcript.pyannote[3509].end 28528.75409375
transcript.pyannote[3510].speaker SPEAKER_27
transcript.pyannote[3510].start 28512.84096875
transcript.pyannote[3510].end 28515.22034375
transcript.pyannote[3511].speaker SPEAKER_26
transcript.pyannote[3511].start 28529.22659375
transcript.pyannote[3511].end 28533.22596875
transcript.pyannote[3512].speaker SPEAKER_26
transcript.pyannote[3512].start 28534.08659375
transcript.pyannote[3512].end 28535.92596875
transcript.pyannote[3513].speaker SPEAKER_01
transcript.pyannote[3513].start 28535.25096875
transcript.pyannote[3513].end 28537.02284375
transcript.pyannote[3514].speaker SPEAKER_26
transcript.pyannote[3514].start 28536.43221875
transcript.pyannote[3514].end 28537.12409375
transcript.pyannote[3515].speaker SPEAKER_26
transcript.pyannote[3515].start 28538.96346875
transcript.pyannote[3515].end 28539.03096875
transcript.pyannote[3516].speaker SPEAKER_03
transcript.pyannote[3516].start 28548.43034375
transcript.pyannote[3516].end 28551.56909375
transcript.pyannote[3517].speaker SPEAKER_03
transcript.pyannote[3517].start 28552.02471875
transcript.pyannote[3517].end 28557.57659375
transcript.pyannote[3518].speaker SPEAKER_03
transcript.pyannote[3518].start 28559.28096875
transcript.pyannote[3518].end 28561.05284375
transcript.pyannote[3519].speaker SPEAKER_03
transcript.pyannote[3519].start 28561.55909375
transcript.pyannote[3519].end 28563.78659375
transcript.pyannote[3520].speaker SPEAKER_03
transcript.pyannote[3520].start 28564.24221875
transcript.pyannote[3520].end 28566.84096875
transcript.pyannote[3521].speaker SPEAKER_03
transcript.pyannote[3521].start 28567.51596875
transcript.pyannote[3521].end 28569.16971875
transcript.pyannote[3522].speaker SPEAKER_08
transcript.pyannote[3522].start 28577.91096875
transcript.pyannote[3522].end 28582.39971875
transcript.pyannote[3523].speaker SPEAKER_03
transcript.pyannote[3523].start 28582.68659375
transcript.pyannote[3523].end 28583.98596875
transcript.pyannote[3524].speaker SPEAKER_03
transcript.pyannote[3524].start 28589.13284375
transcript.pyannote[3524].end 28589.14971875
transcript.pyannote[3525].speaker SPEAKER_30
transcript.pyannote[3525].start 28589.14971875
transcript.pyannote[3525].end 28589.77409375
transcript.pyannote[3526].speaker SPEAKER_03
transcript.pyannote[3526].start 28589.77409375
transcript.pyannote[3526].end 28589.79096875
transcript.pyannote[3527].speaker SPEAKER_08
transcript.pyannote[3527].start 28590.78659375
transcript.pyannote[3527].end 28596.79409375
transcript.pyannote[3528].speaker SPEAKER_30
transcript.pyannote[3528].start 28593.19971875
transcript.pyannote[3528].end 28594.36409375
transcript.pyannote[3529].speaker SPEAKER_08
transcript.pyannote[3529].start 28596.86159375
transcript.pyannote[3529].end 28612.45409375
transcript.pyannote[3530].speaker SPEAKER_08
transcript.pyannote[3530].start 28612.53846875
transcript.pyannote[3530].end 28696.03596875
transcript.pyannote[3531].speaker SPEAKER_00
transcript.pyannote[3531].start 28621.09409375
transcript.pyannote[3531].end 28621.46534375
transcript.pyannote[3532].speaker SPEAKER_00
transcript.pyannote[3532].start 28639.33596875
transcript.pyannote[3532].end 28639.35284375
transcript.pyannote[3533].speaker SPEAKER_01
transcript.pyannote[3533].start 28639.38659375
transcript.pyannote[3533].end 28639.42034375
transcript.pyannote[3534].speaker SPEAKER_00
transcript.pyannote[3534].start 28657.07159375
transcript.pyannote[3534].end 28658.35409375
transcript.pyannote[3535].speaker SPEAKER_13
transcript.pyannote[3535].start 28680.07221875
transcript.pyannote[3535].end 28681.97909375
transcript.pyannote[3536].speaker SPEAKER_13
transcript.pyannote[3536].start 28696.59284375
transcript.pyannote[3536].end 28704.16971875
transcript.pyannote[3537].speaker SPEAKER_08
transcript.pyannote[3537].start 28704.45659375
transcript.pyannote[3537].end 28705.87409375
transcript.pyannote[3538].speaker SPEAKER_13
transcript.pyannote[3538].start 28705.65471875
transcript.pyannote[3538].end 28709.70471875
transcript.pyannote[3539].speaker SPEAKER_13
transcript.pyannote[3539].start 28710.16034375
transcript.pyannote[3539].end 28719.07034375
transcript.pyannote[3540].speaker SPEAKER_08
transcript.pyannote[3540].start 28718.66534375
transcript.pyannote[3540].end 28721.55096875
transcript.pyannote[3541].speaker SPEAKER_13
transcript.pyannote[3541].start 28719.74534375
transcript.pyannote[3541].end 28719.98159375
transcript.pyannote[3542].speaker SPEAKER_13
transcript.pyannote[3542].start 28721.65221875
transcript.pyannote[3542].end 28721.66909375
transcript.pyannote[3543].speaker SPEAKER_13
transcript.pyannote[3543].start 28721.68596875
transcript.pyannote[3543].end 28722.29346875
transcript.pyannote[3544].speaker SPEAKER_08
transcript.pyannote[3544].start 28721.83784375
transcript.pyannote[3544].end 28722.17534375
transcript.pyannote[3545].speaker SPEAKER_08
transcript.pyannote[3545].start 28722.29346875
transcript.pyannote[3545].end 28723.06971875
transcript.pyannote[3546].speaker SPEAKER_13
transcript.pyannote[3546].start 28723.77846875
transcript.pyannote[3546].end 28733.92034375
transcript.pyannote[3547].speaker SPEAKER_08
transcript.pyannote[3547].start 28732.72221875
transcript.pyannote[3547].end 28735.81034375
transcript.pyannote[3548].speaker SPEAKER_08
transcript.pyannote[3548].start 28735.84409375
transcript.pyannote[3548].end 28753.73159375
transcript.pyannote[3549].speaker SPEAKER_13
transcript.pyannote[3549].start 28735.89471875
transcript.pyannote[3549].end 28736.35034375
transcript.pyannote[3550].speaker SPEAKER_13
transcript.pyannote[3550].start 28738.66221875
transcript.pyannote[3550].end 28739.97846875
transcript.pyannote[3551].speaker SPEAKER_13
transcript.pyannote[3551].start 28740.68721875
transcript.pyannote[3551].end 28740.97409375
transcript.pyannote[3552].speaker SPEAKER_01
transcript.pyannote[3552].start 28740.97409375
transcript.pyannote[3552].end 28741.12596875
transcript.pyannote[3553].speaker SPEAKER_01
transcript.pyannote[3553].start 28741.37909375
transcript.pyannote[3553].end 28742.22284375
transcript.pyannote[3554].speaker SPEAKER_13
transcript.pyannote[3554].start 28748.28096875
transcript.pyannote[3554].end 28748.71971875
transcript.pyannote[3555].speaker SPEAKER_13
transcript.pyannote[3555].start 28751.79096875
transcript.pyannote[3555].end 28754.99721875
transcript.pyannote[3556].speaker SPEAKER_08
transcript.pyannote[3556].start 28754.13659375
transcript.pyannote[3556].end 28772.19284375
transcript.pyannote[3557].speaker SPEAKER_13
transcript.pyannote[3557].start 28755.89159375
transcript.pyannote[3557].end 28757.83221875
transcript.pyannote[3558].speaker SPEAKER_01
transcript.pyannote[3558].start 28757.83221875
transcript.pyannote[3558].end 28757.84909375
transcript.pyannote[3559].speaker SPEAKER_13
transcript.pyannote[3559].start 28759.45221875
transcript.pyannote[3559].end 28759.82346875
transcript.pyannote[3560].speaker SPEAKER_01
transcript.pyannote[3560].start 28759.82346875
transcript.pyannote[3560].end 28759.85721875
transcript.pyannote[3561].speaker SPEAKER_01
transcript.pyannote[3561].start 28772.24346875
transcript.pyannote[3561].end 28772.66534375
transcript.pyannote[3562].speaker SPEAKER_08
transcript.pyannote[3562].start 28773.00284375
transcript.pyannote[3562].end 28807.27596875
transcript.pyannote[3563].speaker SPEAKER_13
transcript.pyannote[3563].start 28805.77409375
transcript.pyannote[3563].end 28823.05409375
transcript.pyannote[3564].speaker SPEAKER_08
transcript.pyannote[3564].start 28814.49846875
transcript.pyannote[3564].end 28814.51534375
transcript.pyannote[3565].speaker SPEAKER_29
transcript.pyannote[3565].start 28814.51534375
transcript.pyannote[3565].end 28814.53221875
transcript.pyannote[3566].speaker SPEAKER_08
transcript.pyannote[3566].start 28814.53221875
transcript.pyannote[3566].end 28815.07221875
transcript.pyannote[3567].speaker SPEAKER_08
transcript.pyannote[3567].start 28821.58596875
transcript.pyannote[3567].end 28821.90659375
transcript.pyannote[3568].speaker SPEAKER_08
transcript.pyannote[3568].start 28822.48034375
transcript.pyannote[3568].end 28867.38471875
transcript.pyannote[3569].speaker SPEAKER_13
transcript.pyannote[3569].start 28823.89784375
transcript.pyannote[3569].end 28824.21846875
transcript.pyannote[3570].speaker SPEAKER_13
transcript.pyannote[3570].start 28829.29784375
transcript.pyannote[3570].end 28831.23846875
transcript.pyannote[3571].speaker SPEAKER_00
transcript.pyannote[3571].start 28831.23846875
transcript.pyannote[3571].end 28831.39034375
transcript.pyannote[3572].speaker SPEAKER_00
transcript.pyannote[3572].start 28832.65596875
transcript.pyannote[3572].end 28832.94284375
transcript.pyannote[3573].speaker SPEAKER_01
transcript.pyannote[3573].start 28843.62471875
transcript.pyannote[3573].end 28843.91159375
transcript.pyannote[3574].speaker SPEAKER_10
transcript.pyannote[3574].start 28843.91159375
transcript.pyannote[3574].end 28843.92846875
transcript.pyannote[3575].speaker SPEAKER_00
transcript.pyannote[3575].start 28843.92846875
transcript.pyannote[3575].end 28844.02971875
transcript.pyannote[3576].speaker SPEAKER_13
transcript.pyannote[3576].start 28855.43721875
transcript.pyannote[3576].end 28857.85034375
transcript.pyannote[3577].speaker SPEAKER_08
transcript.pyannote[3577].start 28868.26221875
transcript.pyannote[3577].end 28868.53221875
transcript.pyannote[3578].speaker SPEAKER_13
transcript.pyannote[3578].start 28868.53221875
transcript.pyannote[3578].end 28892.95034375
transcript.pyannote[3579].speaker SPEAKER_08
transcript.pyannote[3579].start 28868.81909375
transcript.pyannote[3579].end 28868.85284375
transcript.pyannote[3580].speaker SPEAKER_08
transcript.pyannote[3580].start 28893.40596875
transcript.pyannote[3580].end 28903.98659375
transcript.pyannote[3581].speaker SPEAKER_01
transcript.pyannote[3581].start 28903.95284375
transcript.pyannote[3581].end 28904.29034375
transcript.pyannote[3582].speaker SPEAKER_08
transcript.pyannote[3582].start 28904.13846875
transcript.pyannote[3582].end 28906.75409375
transcript.pyannote[3583].speaker SPEAKER_08
transcript.pyannote[3583].start 28906.92284375
transcript.pyannote[3583].end 28931.93159375
transcript.pyannote[3584].speaker SPEAKER_00
transcript.pyannote[3584].start 28917.09846875
transcript.pyannote[3584].end 28917.43596875
transcript.pyannote[3585].speaker SPEAKER_01
transcript.pyannote[3585].start 28931.93159375
transcript.pyannote[3585].end 28932.35346875
transcript.pyannote[3586].speaker SPEAKER_08
transcript.pyannote[3586].start 28932.21846875
transcript.pyannote[3586].end 28954.40909375
transcript.pyannote[3587].speaker SPEAKER_08
transcript.pyannote[3587].start 28954.54409375
transcript.pyannote[3587].end 28965.58034375
transcript.pyannote[3588].speaker SPEAKER_01
transcript.pyannote[3588].start 28956.77159375
transcript.pyannote[3588].end 28958.03721875
transcript.pyannote[3589].speaker SPEAKER_13
transcript.pyannote[3589].start 28958.03721875
transcript.pyannote[3589].end 28958.69534375
transcript.pyannote[3590].speaker SPEAKER_13
transcript.pyannote[3590].start 28959.65721875
transcript.pyannote[3590].end 28960.26471875
transcript.pyannote[3591].speaker SPEAKER_13
transcript.pyannote[3591].start 28965.58034375
transcript.pyannote[3591].end 28989.55971875
transcript.pyannote[3592].speaker SPEAKER_08
transcript.pyannote[3592].start 28988.37846875
transcript.pyannote[3592].end 29073.49596875
transcript.pyannote[3593].speaker SPEAKER_00
transcript.pyannote[3593].start 29000.91659375
transcript.pyannote[3593].end 29001.33846875
transcript.pyannote[3594].speaker SPEAKER_00
transcript.pyannote[3594].start 29021.94284375
transcript.pyannote[3594].end 29022.31409375
transcript.pyannote[3595].speaker SPEAKER_00
transcript.pyannote[3595].start 29025.50346875
transcript.pyannote[3595].end 29025.89159375
transcript.pyannote[3596].speaker SPEAKER_00
transcript.pyannote[3596].start 29066.49284375
transcript.pyannote[3596].end 29066.86409375
transcript.pyannote[3597].speaker SPEAKER_08
transcript.pyannote[3597].start 29074.72784375
transcript.pyannote[3597].end 29096.71596875
transcript.pyannote[3598].speaker SPEAKER_00
transcript.pyannote[3598].start 29078.35596875
transcript.pyannote[3598].end 29078.94659375
transcript.pyannote[3599].speaker SPEAKER_00
transcript.pyannote[3599].start 29079.84096875
transcript.pyannote[3599].end 29080.70159375
transcript.pyannote[3600].speaker SPEAKER_18
transcript.pyannote[3600].start 29080.70159375
transcript.pyannote[3600].end 29080.81971875
transcript.pyannote[3601].speaker SPEAKER_00
transcript.pyannote[3601].start 29080.81971875
transcript.pyannote[3601].end 29080.87034375
transcript.pyannote[3602].speaker SPEAKER_01
transcript.pyannote[3602].start 29080.87034375
transcript.pyannote[3602].end 29080.90409375
transcript.pyannote[3603].speaker SPEAKER_00
transcript.pyannote[3603].start 29084.34659375
transcript.pyannote[3603].end 29084.58284375
transcript.pyannote[3604].speaker SPEAKER_01
transcript.pyannote[3604].start 29084.58284375
transcript.pyannote[3604].end 29084.98784375
transcript.pyannote[3605].speaker SPEAKER_00
transcript.pyannote[3605].start 29084.98784375
transcript.pyannote[3605].end 29085.02159375
transcript.pyannote[3606].speaker SPEAKER_13
transcript.pyannote[3606].start 29095.39971875
transcript.pyannote[3606].end 29104.49534375
transcript.pyannote[3607].speaker SPEAKER_08
transcript.pyannote[3607].start 29104.36034375
transcript.pyannote[3607].end 29124.40784375
transcript.pyannote[3608].speaker SPEAKER_13
transcript.pyannote[3608].start 29105.45721875
transcript.pyannote[3608].end 29105.79471875
transcript.pyannote[3609].speaker SPEAKER_13
transcript.pyannote[3609].start 29107.98846875
transcript.pyannote[3609].end 29108.35971875
transcript.pyannote[3610].speaker SPEAKER_00
transcript.pyannote[3610].start 29113.35471875
transcript.pyannote[3610].end 29113.54034375
transcript.pyannote[3611].speaker SPEAKER_01
transcript.pyannote[3611].start 29116.59471875
transcript.pyannote[3611].end 29117.11784375
transcript.pyannote[3612].speaker SPEAKER_01
transcript.pyannote[3612].start 29124.40784375
transcript.pyannote[3612].end 29124.82971875
transcript.pyannote[3613].speaker SPEAKER_08
transcript.pyannote[3613].start 29124.82971875
transcript.pyannote[3613].end 29142.70034375
transcript.pyannote[3614].speaker SPEAKER_08
transcript.pyannote[3614].start 29143.00409375
transcript.pyannote[3614].end 29191.99221875
transcript.pyannote[3615].speaker SPEAKER_00
transcript.pyannote[3615].start 29158.25909375
transcript.pyannote[3615].end 29158.73159375
transcript.pyannote[3616].speaker SPEAKER_08
transcript.pyannote[3616].start 29192.51534375
transcript.pyannote[3616].end 29196.83534375
transcript.pyannote[3617].speaker SPEAKER_08
transcript.pyannote[3617].start 29197.29096875
transcript.pyannote[3617].end 29243.71409375
transcript.pyannote[3618].speaker SPEAKER_08
transcript.pyannote[3618].start 29244.05159375
transcript.pyannote[3618].end 29290.74471875
transcript.pyannote[3619].speaker SPEAKER_08
transcript.pyannote[3619].start 29290.94721875
transcript.pyannote[3619].end 29295.77346875
transcript.pyannote[3620].speaker SPEAKER_08
transcript.pyannote[3620].start 29295.90846875
transcript.pyannote[3620].end 29300.16096875
transcript.pyannote[3621].speaker SPEAKER_08
transcript.pyannote[3621].start 29300.92034375
transcript.pyannote[3621].end 29316.64784375
transcript.pyannote[3622].speaker SPEAKER_00
transcript.pyannote[3622].start 29301.42659375
transcript.pyannote[3622].end 29301.64596875
transcript.pyannote[3623].speaker SPEAKER_01
transcript.pyannote[3623].start 29301.64596875
transcript.pyannote[3623].end 29301.71346875
transcript.pyannote[3624].speaker SPEAKER_00
transcript.pyannote[3624].start 29301.71346875
transcript.pyannote[3624].end 29301.91596875
transcript.pyannote[3625].speaker SPEAKER_08
transcript.pyannote[3625].start 29317.13721875
transcript.pyannote[3625].end 29334.07971875
transcript.pyannote[3626].speaker SPEAKER_08
transcript.pyannote[3626].start 29334.48471875
transcript.pyannote[3626].end 29384.46846875
transcript.pyannote[3627].speaker SPEAKER_30
transcript.pyannote[3627].start 29384.56971875
transcript.pyannote[3627].end 29385.95346875
transcript.pyannote[3628].speaker SPEAKER_30
transcript.pyannote[3628].start 29387.08409375
transcript.pyannote[3628].end 29403.30096875
transcript.pyannote[3629].speaker SPEAKER_30
transcript.pyannote[3629].start 29403.50346875
transcript.pyannote[3629].end 29405.52846875
transcript.pyannote[3630].speaker SPEAKER_30
transcript.pyannote[3630].start 29405.74784375
transcript.pyannote[3630].end 29432.68034375
transcript.pyannote[3631].speaker SPEAKER_30
transcript.pyannote[3631].start 29433.03471875
transcript.pyannote[3631].end 29452.69409375
transcript.pyannote[3632].speaker SPEAKER_30
transcript.pyannote[3632].start 29453.09909375
transcript.pyannote[3632].end 29465.58659375
transcript.pyannote[3633].speaker SPEAKER_30
transcript.pyannote[3633].start 29465.94096875
transcript.pyannote[3633].end 29466.26159375
transcript.pyannote[3634].speaker SPEAKER_30
transcript.pyannote[3634].start 29467.03784375
transcript.pyannote[3634].end 29471.22284375
transcript.pyannote[3635].speaker SPEAKER_08
transcript.pyannote[3635].start 29470.37909375
transcript.pyannote[3635].end 29470.71659375
transcript.pyannote[3636].speaker SPEAKER_08
transcript.pyannote[3636].start 29471.42534375
transcript.pyannote[3636].end 29494.96596875
transcript.pyannote[3637].speaker SPEAKER_03
transcript.pyannote[3637].start 29498.20596875
transcript.pyannote[3637].end 29501.69909375
transcript.pyannote[3638].speaker SPEAKER_03
transcript.pyannote[3638].start 29502.62721875
transcript.pyannote[3638].end 29503.35284375
transcript.pyannote[3639].speaker SPEAKER_03
transcript.pyannote[3639].start 29504.23034375
transcript.pyannote[3639].end 29507.08221875
transcript.pyannote[3640].speaker SPEAKER_03
transcript.pyannote[3640].start 29507.57159375
transcript.pyannote[3640].end 29511.25034375
transcript.pyannote[3641].speaker SPEAKER_03
transcript.pyannote[3641].start 29511.72284375
transcript.pyannote[3641].end 29513.52846875
transcript.pyannote[3642].speaker SPEAKER_03
transcript.pyannote[3642].start 29513.57909375
transcript.pyannote[3642].end 29516.97096875
transcript.pyannote[3643].speaker SPEAKER_03
transcript.pyannote[3643].start 29517.02159375
transcript.pyannote[3643].end 29518.75971875
transcript.whisperx[0].start 1812.435
transcript.whisperx[0].end 1822.13
transcript.whisperx[0].text 報告院會現在繼續開會,執行對行政院院長施政方針及施政報告繼續質詢。今天進行個人質詢,內政組織質詢。現在請邁委員郁真質詢。
transcript.whisperx[1].start 1852.891
transcript.whisperx[1].end 1869.304
transcript.whisperx[1].text 謝謝院長有請陳院長還有內政部部長麻煩請陳院長內政部備詢報告委員早安祝你當選立法委員
transcript.whisperx[2].start 1870.836
transcript.whisperx[2].end 1890.545
transcript.whisperx[2].text 謝謝,謝謝院長。有幸成為臺灣新住民,在臺灣的新住民的立委。今天我們是要來找出問題,解決問題還有關於新住民的議題。所以雖然是院長說自己是看守內閣,但是關於新住民的議題,
transcript.whisperx[3].start 1891.465
transcript.whisperx[3].end 1907.535
transcript.whisperx[3].text 希望我們院長可以就是承諾改進關於新住民的權益議題講很久了但是都沒有進展這個部分首先就是行政院沒有一個統籌新住民的事務
transcript.whisperx[4].start 1908.855
transcript.whisperx[4].end 1929.651
transcript.whisperx[4].text 所以呢就導致說落在各機構,就像譬如說簽證就是要到外交部,還有就是國籍啊、一親就叫移民署。所以呢就造成就是移民署的很多的負擔,所以我們就是要融入臺灣呢,我們就是文化還有語言的門檻。
transcript.whisperx[5].start 1931.778
transcript.whisperx[5].end 1951.745
transcript.whisperx[5].text 所以常常就是新住民就求助無門所以就像說陸配跟外配都需要幫助就是大家都分說外配要到哪個單位陸配又在哪個單位這樣所以目前就沒有設一個統籌就是新住民業務的機構
transcript.whisperx[6].start 1954.115
transcript.whisperx[6].end 1980.997
transcript.whisperx[6].text 這個部分所以要請我們的院長來回應一下有關於移民的事務現在都是由多個部會共同來配置人力來辦理目前是運作無礙但是為了要整合跟協調相關的部會在行政院也設置了新住民事務的協調匯報來統籌相關的這些業務那我要在這裡跟麥委員再次的強調我們很歡迎新住民來到臺灣而且
transcript.whisperx[7].start 1981.537
transcript.whisperx[7].end 1987.92
transcript.whisperx[7].text 關於移民的事務,我們會讓相關的部會在剛才講的協調匯報當中做更好的協調。如果有需要我們再繼續精進的地方,我們也會請各部會來加強精進的這些辦法。
transcript.whisperx[8].start 2003.26
transcript.whisperx[8].end 2029.583
transcript.whisperx[8].text 是,但是我們希望的就是說現在目前在我們臺灣就有將近就是60萬人新住民還有我們的新二代大概50幾萬加上就是說來這邊工作的外籍工還有就是我們專業人員有80萬人還有就是來這邊就是外僑生就是有10萬人左右所以這樣子的超過
transcript.whisperx[9].start 2031.025
transcript.whisperx[9].end 2054.527
transcript.whisperx[9].text 兩百多人,這樣子的人數對臺灣帶來的就不只是經濟的發展,交易還有文化。 所以這個部分我們是不是說行政院院長這邊有沒有想說要設立一個部門專門去服務就是從國外人的這一群人,默默為我們臺灣的付出。
transcript.whisperx[10].start 2055.273
transcript.whisperx[10].end 2080.24
transcript.whisperx[10].text 我們就是因為很尊重而且很重視新住民在經濟、政治、文化跟教育上的貢獻所以我剛才才講到在行政院就有一個協調會報協調會報是一個很慎重的事情是各部會做在一起那和這個世界上各國並沒有所謂的新住民的相關的政府機關也是把相關的業務讓內政或者是讓移民署
transcript.whisperx[11].start 2081.26
transcript.whisperx[11].end 2103.877
transcript.whisperx[11].text 以及經濟部來一起合作,大部分的國家都這樣,但是也沒有像我們行政院有特別有這樣的一個協調的匯報。協調匯報是一個定期開會的一個組織也是相當重要的。那我們目前因為剛才我跟委員有報告過,因為所有的業務相關新移民相關的業務現在是運行的還蠻順暢。
transcript.whisperx[12].start 2107.039
transcript.whisperx[12].end 2108.721
transcript.whisperx[12].text 對,我們希望就是要有一個因為現在目前我們有陸委會但是我們沒有一個部門一個部會成為
transcript.whisperx[13].start 2125.061
transcript.whisperx[13].end 2151.583
transcript.whisperx[13].text 我們新住民的部會所以希望說我們的行政院長這邊可不可以說我們要成立一個就是新住民委員會再來就是我們在統籌一起來去服務我們內政部有的新住民發展基金培訓了10年我們一個就是說建立一個人才資料庫這人才資料庫已經發霉了因為沒有
transcript.whisperx[14].start 2152.424
transcript.whisperx[14].end 2171.479
transcript.whisperx[14].text 沒有一個平台也沒有一個部門讓我們去發揮所以我希望的說我們院長這邊是不是說在近期內可以答應我們的新住民的需求要有一個新住民委員會來成立讓大家栽培人才留住人才讓人才發揮為了臺灣來去服務
transcript.whisperx[15].start 2175.54
transcript.whisperx[15].end 2201.393
transcript.whisperx[15].text 我想這一個部分我是請內政部長先說明一下我再來補充一下那個委員會長。謝謝委員的建議你剛剛有特別提到好幾個部分包括新住民包括移工還有包括學生其實這幾個區塊他們所面臨的問題還有這個需求都有一點不太一樣剛剛院長有特別提到我們在這個行政院的一個協調會報裡面
transcript.whisperx[16].start 2203.086
transcript.whisperx[16].end 2226.128
transcript.whisperx[16].text 我們大概把過去所這個新住民或者說包括移工等等這些朋友他們碰到的問題我們大概一個一個把它這個列出來比如說像過去大家提到最多來到臺灣之後要辦居住或者要辦戶口或者是要辦這個金融帳戶金融卡或者是銀行的帳戶等等
transcript.whisperx[17].start 2227.003
transcript.whisperx[17].end 2255.334
transcript.whisperx[17].text 都碰到了很多的困難也沒那麼方便那不過現在透過行政院的這個會報我們把這些問題移出來一個一個把它串接在一起所以是一個部會協作的一個方式那當然這個我們新住民的這個基金我上任之後我也是跟同仁不斷的在溝通就是說新住民的這個基金我們要運用在哪些地方把錢用在刀口上我們現在正在做這樣的努力那委員剛剛提到說
transcript.whisperx[18].start 2256.189
transcript.whisperx[18].end 2259.45
transcript.whisperx[18].text 所以你們都有說嘛就是不同的需求就是不同的解決但是問題就是資源就是沒有整合
transcript.whisperx[19].start 2283.626
transcript.whisperx[19].end 2299.565
transcript.whisperx[19].text
transcript.whisperx[20].start 2299.705
transcript.whisperx[20].end 2314.445
transcript.whisperx[20].text 新住民委員會二級機構就是要專門來去服務有需要哪一個地方我們就是轉接到才像說一個真正的服務變成國外來到臺灣不管是議員或者部門
transcript.whisperx[21].start 2315.026
transcript.whisperx[21].end 2337.449
transcript.whisperx[21].text ﹚議員
transcript.whisperx[22].start 2337.489
transcript.whisperx[22].end 2339.57
transcript.whisperx[22].text 委員你的建議我有了解但是我要跟委員來做一個說明
transcript.whisperx[23].start 2365.468
transcript.whisperx[23].end 2384.595
transcript.whisperx[23].text 實際上我們現在的二級機關的數目都已經滿了但是新住民的事情很重要不管是教育、勞動、衛福、文化等等還有經濟還有財政的部分都有那這確實它是各個部會都包含在裡面所以我們才會有所謂的新住民事務協調
transcript.whisperx[24].start 2386.049
transcript.whisperx[24].end 2386.069
transcript.whisperx[24].text ﹚廣告
transcript.whisperx[25].start 2416.049
transcript.whisperx[25].end 2433.097
transcript.whisperx[25].text 議員
transcript.whisperx[26].start 2433.237
transcript.whisperx[26].end 2450.203
transcript.whisperx[26].text 新住民生了小孩越來越多就叫停止不要再生了已經滿了是這樣嗎?因為人多了我們就是人的需求我們現在就是我們要的就是說我們有需求我們要來去服務因為我們要去整合資源
transcript.whisperx[27].start 2450.863
transcript.whisperx[27].end 2476.608
transcript.whisperx[27].text 還有給予機會大家才能會去真正的是落實的服務對不對我們要有一個平台要互助共好嘛對不能說一直說顛簾一種全部的預算來栽培栽培人才但是沒有給予機會怎麼留才呢怎麼真正的去為台灣付出呢所以我們希望說我們的院長要來成立一個新住民委員會這個是
transcript.whisperx[28].start 2478.448
transcript.whisperx[28].end 2500.06
transcript.whisperx[28].text 整合資源讓更多的人去發揮也更多的是說你栽培人才花那麼多錢但是沒有一個平台讓大家去發揮所以我們希望的是說有一個平台有一個部會來去讓新住民去服務也讓各個機構還有外國人來到台灣
transcript.whisperx[29].start 2500.72
transcript.whisperx[29].end 2529.142
transcript.whisperx[29].text 可以有一個地方真的是照顧到讓全世界人看到說我們只要來臺灣投資我們移居臺灣我們就是找這個部會就可以了不用說再求助我們再找很多的部會剛才你們有講嘛各部會討論只是討論而已結果是怎麼樣誰來決定誰來服務所以我們希望就是說行政院這邊院長答應我們說
transcript.whisperx[30].start 2530.163
transcript.whisperx[30].end 2546.922
transcript.whisperx[30].text 要成立一個新住民委員會讓我們的有一個新住民基本法就是我們原住民基本法也是最近幾年才去成立的如果有一個部門這樣去服務的話我們是政府的左右手也真的是解決問題
transcript.whisperx[31].start 2550.102
transcript.whisperx[31].end 2569.928
transcript.whisperx[31].text 委員我想回答你兩個問題第一個就是說二級機關已經滿了就是說按照行政院的組織法裡面我們的部會的數目到現在都已經是滿了除非我們要修行政院相關的這個組織法才能夠做這個是滿額的意思是這樣那第二個呢在政務的推動上匯報的
transcript.whisperx[32].start 2572.089
transcript.whisperx[32].end 2593.755
transcript.whisperx[32].text 的聯繫匯報的聯繫的工作呢實際上比單一部會要來還舉一個例子比如說原民會想要做什麼事情他這個事情如果他單獨的部會要做的時候他需要去協調經濟部還有內政部教育部等等不同的部會那這個時候他一個人來進行一個部會來進行反而不容易做而需要有一個好的匯報來
transcript.whisperx[33].start 2596.096
transcript.whisperx[33].end 2616.958
transcript.whisperx[33].text 來一起來進行那這個就是我們剛才講的如果我們各部會都在一個新住民的這一個事務協調會報裡面來做的話那你剛才說我們做了一個決定以後呢做完決定以後教育部該好好培育人才然後勞動部該好好的在這個聘用這些人才然後呢
transcript.whisperx[34].start 2618.703
transcript.whisperx[34].end 2620.804
transcript.whisperx[34].text 是沒錯,跨部會是要去協調但是有要單一部會來去
transcript.whisperx[35].start 2636.731
transcript.whisperx[35].end 2658.281
transcript.whisperx[35].text 執行,這個是對嗎?對不對,就像我們原住民委員會,他也是跟大家協調,但是他是當一個部會來去執行,是對的嘛,是不是?你的意思是說是應該是這樣,所以我們現在要的是應該是這樣啊,所以就是說我們要協調各部會,資源整合,在最後就是
transcript.whisperx[36].start 2658.541
transcript.whisperx[36].end 2681.698
transcript.whisperx[36].text ﹚議員
transcript.whisperx[37].start 2682.258
transcript.whisperx[37].end 2710.195
transcript.whisperx[37].text 來去協助這樣才不會說資源重疊還有個案一個個案很多部門去服務所以我們看到的是這樣所以謝謝我們的院長這個部分就是希望你答應我們我們也共同來去努力就是這裡是臺灣的民眾跟政府的最好溝通的橋樑所以我們是代表我們的民眾來跟我們部院去要求去
transcript.whisperx[38].start 2710.697
transcript.whisperx[38].end 2711.259
transcript.whisperx[38].text 請說去協助。還有第二個問題
transcript.whisperx[39].start 2715.06
transcript.whisperx[39].end 2743.9
transcript.whisperx[39].text 因為時間有限就有問題說關於就是警察的權利因為警察是不是人民保姆是對所以人民保姆去保護我們全國的人民是不是要讓他們就是有地方就是住還有睡好這樣他還有精力去幫助大家去保護我們的人民但是目前為止全國有很多就是我們的警察的住宿的話
transcript.whisperx[40].start 2744.693
transcript.whisperx[40].end 2747.56
transcript.whisperx[40].text 都沒有就是讓大家就是
transcript.whisperx[41].start 2749.076
transcript.whisperx[41].end 2749.096
transcript.whisperx[41].text ﹚廣告
transcript.whisperx[42].start 2789.195
transcript.whisperx[42].end 2807.35
transcript.whisperx[42].text 蔓委員建議好不好,因為時間的關係能不能請內政部把相關的資料用書面送給您參考好嗎?因為時間已經到了好不好?好,謝謝蔓委員與真的質詢,也謝謝陳院長的備詢,謝謝接下來我們請登記第二號范雲委員質詢
transcript.whisperx[43].start 2824.451
transcript.whisperx[43].end 2846.379
transcript.whisperx[43].text 院長早安,有請陳院長。再請陳院長備刑。院長早安,那今天的主題是如何建構一個真正平等沒有歧視的社會。下頁。
transcript.whisperx[44].start 2850.86
transcript.whisperx[44].end 2877.683
transcript.whisperx[44].text 首先我要謝謝院長大仁哥您真的是溫暖內閣我看到您已經有一個很重要的貢獻就是上次記得我總質詢的時候讓無家者在我們的議場現身您看到之後我們也討論了相關的問題您當時就立刻承諾我們的社會救助法真的是需要好好的修衛福部也承諾
transcript.whisperx[45].start 2878.263
transcript.whisperx[45].end 2901.791
transcript.whisperx[45].text 在今年5月會提出,那雖然您一直不願意繼續就是繼續擔任我們的院長,但我相信希望也能在您卸任前能夠提出,那我想這是一個非常重要的溫暖的法案,因為它會接住我們的貧窮人口,因為過去設下了太多重重障礙,所以我謝謝大仁哥,那我們一起打造這個溫暖的
transcript.whisperx[46].start 2903.231
transcript.whisperx[46].end 2903.852
transcript.whisperx[46].text 我們都不捨
transcript.whisperx[47].start 2933.112
transcript.whisperx[47].end 2950.053
transcript.whisperx[47].text 我去年認識他所以非常的敬佩他因為很多人說我想他也是台灣的禍金他擁有美國的雙重的法律會計他其實有機會我聽到他母親說跟他的同學一樣在世界銀行工作
transcript.whisperx[48].start 2950.533
transcript.whisperx[48].end 2972.204
transcript.whisperx[48].text 但是他選擇回臺灣就是希望為臺灣的人權努力雖然我們在喊病的醫療資源無障礙環境其實都不如國外那下一頁那他離開之後我們有看到蔡總統特別給他包中令蔡總統說他離世是台灣社會的巨大損失
transcript.whisperx[49].start 2972.824
transcript.whisperx[49].end 2990.026
transcript.whisperx[49].text ﹚議員
transcript.whisperx[50].start 2990.716
transcript.whisperx[50].end 3010.308
transcript.whisperx[50].text 行政院 其實在下一頁 包括我們立法委員 這是我組成的我們超過10位 有12位為下一代而戰的國會連線 那我們在開記者會前一天突然知道他離世 那我們也非常的難過 那也說就是說我們會記住他是我們的
transcript.whisperx[51].start 3010.828
transcript.whisperx[51].end 3011.268
transcript.whisperx[51].text 下一頁下一頁
transcript.whisperx[52].start 3030.505
transcript.whisperx[52].end 3043.857
transcript.whisperx[52].text 這邊我想放一個俊翰律師自己講的59秒的影像讓他繼續在我們這現身有這樣的機會就是要好好把握他們的掌握的力量
transcript.whisperx[53].start 3044.853
transcript.whisperx[53].end 3072.9
transcript.whisperx[53].text 這樣的採訪對陳俊漢來說的一場失利更何況是遠赴美國求學了但在異國他獲得前所未有的尊重與友善對待讓原本在臺灣學公司法、商業證券法一小時能賺進幾萬塊收入的他決定走向不同的路我一路以來本來就有一直在爭取這一些就自己本來就在臺灣的教育環境之下其實每一關都是靠自己去努力一個一個突破所以是
transcript.whisperx[54].start 3073.96
transcript.whisperx[54].end 3089.602
transcript.whisperx[54].text 一接觸到國外的那種制度真的就是會覺得衝擊很大,感觸很深。會覺得好像國外真的是把那個障礙者當成人看待,然後我們在這邊好像是那個第三世界的國家。
transcript.whisperx[55].start 3091.286
transcript.whisperx[55].end 3105.909
transcript.whisperx[55].text 我想院長看了這段話應該會跟我一樣覺得很羞愧他說他在國外讀書的經驗發現國外真的是把障礙者當人看然後回想我們在臺灣好像是第三世界國家
transcript.whisperx[56].start 3106.83
transcript.whisperx[56].end 3126.767
transcript.whisperx[56].text 我想今天就是他放棄了國外的工作機會回到對他個人很不利的環境所以我們到底如何才能夠讓臺灣脫離障礙者的第三世界國家不把障礙者當人看下一頁我想我們就回來看臺灣有多少障礙者不知道院長知不知道
transcript.whisperx[57].start 3133.681
transcript.whisperx[57].end 3145.454
transcript.whisperx[57].text 一句政府的統計有120萬那這個不包括就是像我母親他是因為老化出門要用輪椅所以輪椅的這種老化失能者沒有包括在裡面就120萬
transcript.whisperx[58].start 3146.855
transcript.whisperx[58].end 3167.714
transcript.whisperx[58].text 一百二十萬如果他有一個家庭一個障礙者有三個家人或者三點五個好了其實全國就有五百萬個超過五百萬個身障者及其家屬還不包括像我母親這樣子的狀況我們看到她會遇到怎麼樣的狀況下一頁如果她是懷孕生產女性的話
transcript.whisperx[59].start 3168.614
transcript.whisperx[59].end 3183.69
transcript.whisperx[59].text 這邊就是我這邊這個照片是我親自訪問的身障媽媽陳清琦他是生命教育學院的院長常常在全國用生命教育演講他呢先生是市長那他生了小孩的時候那他必須
transcript.whisperx[60].start 3185.191
transcript.whisperx[60].end 3207.997
transcript.whisperx[60].text 從新莊坐公車去基隆只是為了產檢你可以想像那個有多辛苦因為整個新北沒有一個他能夠有一個調整的一個產檯那他順利生下平安健康的小孩那整個生產的過程自己要洗澡幫孩子洗澡先生視障其實會非常大的工程
transcript.whisperx[61].start 3208.737
transcript.whisperx[61].end 3237.697
transcript.whisperx[61].text 那所以懷孕期間沒有個人助理沒有更多的個人助理都沒有辦法安心生產你就可以看到女性的身份在懷孕生產期間會遇到的問題下一個我們看到俊翰我們知道他在求學的時間表現優異可是俊翰遇到的情況是什麼他參加大學考試每科只能延長20分鐘而且他必須要一直爭取極力爭取後來才能夠口述代筆
transcript.whisperx[62].start 3238.638
transcript.whisperx[62].end 3254.947
transcript.whisperx[62].text 可是他在美國考律師執照遇到的是考務中心主動到他下他的飯店跟他報告說明安排他到考場而且只要他簽署一張不會洩題就讓他前一天開始考試
transcript.whisperx[63].start 3255.888
transcript.whisperx[63].end 3269.807
transcript.whisperx[63].text 因為呢,多給他一天考試,別人考兩天,他考三天。 那這樣子能夠讓他有充分的時間完成深論題。 俊翰律師說他當時考大學的時候,其實他每題都會寫,可是時間不夠。 所以這是一個
transcript.whisperx[64].start 3272.932
transcript.whisperx[64].end 3288.111
transcript.whisperx[64].text 很大的問題他讀書期間郡安律師也說他必須要自己拜託麻煩同學做筆記可是他到哈佛大學的時候校方請他提早報告為他專門開會召集各部門校方更聘請
transcript.whisperx[65].start 3288.952
transcript.whisperx[65].end 3317.292
transcript.whisperx[65].text 替俊翰做筆記的同學而且全程保密兼顧學生的隱私。我想從這兩個例子那特別是俊翰律師的難怪他會認為臺灣是第三世界國家。下一頁我想這邊也提醒院長的是身心障礙者其實是多重身份的他不是只有一個身障者身份就像這邊剛剛講的女性會遇到生產甚至要到外縣市大醫院因為產台的問題
transcript.whisperx[66].start 3318.473
transcript.whisperx[66].end 3336.123
transcript.whisperx[66].text 原住民呢他們也跟我澄清他們有雙重弱勢身份可是我們的國家要求他二選一所以他有時候經常不能夠確定哪一個身份對他是比較好的選擇經濟弱勢的話政府有補助輔具可是政府卻不補助維修
transcript.whisperx[67].start 3336.903
transcript.whisperx[67].end 3337.584
transcript.whisperx[67].text 這是我們台灣的處境。下一頁。
transcript.whisperx[68].start 3361.903
transcript.whisperx[68].end 3372.569
transcript.whisperx[68].text 我想請問院長您覺得我們兩位現在跟未來的總統都說要繼承陳俊漢律師的遺志,我們如何可以繼承他的遺志?
transcript.whisperx[69].start 3373.206
transcript.whisperx[69].end 3401.994
transcript.whisperx[69].text 我想這個CRPD這一個法案實際上在臺灣已經國內法化而且對陸陸續續的按照這樣的一個精神來做但是就如同委員你所提的我們有很多地方還需要再加強還需要再精進的地方那我們會往這個方向來努力那包括了剛才你講的救學救養還有就業的這些部分都需要有加強的地方
transcript.whisperx[70].start 3402.714
transcript.whisperx[70].end 3431.788
transcript.whisperx[70].text 下一頁謝謝院長所以其實您真的非常關心這個議題您已經知道答案了答案就是我們的身心障礙者權益保障法這次修法因為十幾年沒有修了真的必須要符合我們自己已經簽署掛在衛福部網站上都可以看到細節的身心障礙者就是說權利公約這個CRPD的公約那下一頁那我想請問院長不知道您知不知道身權法
transcript.whisperx[71].start 3432.188
transcript.whisperx[71].end 3458.381
transcript.whisperx[71].text 要怎麼修才能夠符合CRPD的國際公約呢?因為我們上一屆修到一半後來就停下來了因為彼此的落差很大那這一次如果我們說要符合CRPD的話那應該要怎麼做這個法要怎麼修才能符合呢?我想有兩個很重要的部分第一個就是由衛福部來收集我們民間還有我們立法院的一些意見第二個我們有CRPD的國際
transcript.whisperx[72].start 3459.581
transcript.whisperx[72].end 3471.268
transcript.whisperx[72].text 的這個專家學者的審查他也提供了很多寶貴的意見那我們看看國外的意見是怎麼樣我們一起來修那這因為他蠻細節的不過我想聆聽看看這一個委員寶貴的意見
transcript.whisperx[73].start 3473.426
transcript.whisperx[73].end 3489.764
transcript.whisperx[73].text 謝謝院長您剛講的也都對是講程序上這麼做那我們來看實質下一頁他其實以我的整理有五個重點第一個障礙者要能為自己做決定那因為要落實如果沒有我的參與不要為我做決定
transcript.whisperx[74].start 3490.365
transcript.whisperx[74].end 3517.096
transcript.whisperx[74].text 因為只有障礙者才知道他的需求是什麼那當時我們修法的爭議我的版本相關的機制要有二分之一障礙者的代表那當時至少衛福部聽起來沒有被說服第二個個人助理服務時數要充足那最近我也聽到陳媽媽講譬如說俊翰他吃飯他可能是需要兩小時可是吃飯的這個助理的時數只能給他半小時
transcript.whisperx[75].start 3517.916
transcript.whisperx[75].end 3539.467
transcript.whisperx[75].text 所以他算是要用一個半小時要拿他的個人助理其他的時數來用那這個其實就是對家屬來講我們都看到陳媽媽已經幾乎據說全天候的在照顧他了連喘息的空間都沒有所以個人助理服務的時數也就是我想院長很了解我們要不要拿出資源來協助的問題
transcript.whisperx[76].start 3540.507
transcript.whisperx[76].end 3558.536
transcript.whisperx[76].text 第三、障礙者要能夠在地自立生活,所以相關的環境很重要,而不是讓它機構化,機構不應該是唯一的選項。第四、很多障礙者跟我陳情,臺灣的高科技能力可以做到很好的輔具,可是都是出口。
transcript.whisperx[77].start 3559.036
transcript.whisperx[77].end 3575.899
transcript.whisperx[77].text 因為臺灣本地沒有市場就是因為政府就是說補助經費太少所以呢他們甚至在臺灣買不到就是在臺灣的廠商生產的高科技的輔具所以高科技輔具的提供到我剛講的
transcript.whisperx[78].start 3576.92
transcript.whisperx[78].end 3594.788
transcript.whisperx[78].text 你補助了輔具可是卻沒有補助維修這也是不應該的最後一個就是我所講的我們所有相關的機制應該要看到多重的弱勢者而不是讓他們自己在不同的系統之間被踢皮球甚至被迫做選擇
transcript.whisperx[79].start 3595.788
transcript.whisperx[79].end 3623.076
transcript.whisperx[79].text 那這五點就是也是下一頁也是我們最近為下一代而戰我們希望跟您一起提出的集體訴求就是一定要這次行政院的版本本身一定要符合CRPD的國際公約因為上一次修法已經是17年前了那我們2017年簽署CRPD國際公約之後本來就應該全面的檢視
transcript.whisperx[80].start 3623.916
transcript.whisperx[80].end 3649.753
transcript.whisperx[80].text
transcript.whisperx[81].start 3649.773
transcript.whisperx[81].end 3676.284
transcript.whisperx[81].text 我想這個我們一定會努力的來請這個衛福部收集相關的意見還有民間修法的建議來盡快提出修法的這個版本那更重要的我也希望在這個整個的這個制定的這個過程當中在大院也能夠得到我們朝野黨團大家的協助真的好好來幫助所有需要幫助的這些身心障礙者我想這是政府的責任我們責無旁貸
transcript.whisperx[82].start 3677.028
transcript.whisperx[82].end 3691.712
transcript.whisperx[82].text 而一定會努力來盡快的來提出這個修法。好,謝謝院長。所以您承諾我們行政院會提出符合CRPD的生權法。謝謝院長,真的是溫暖內閣。那我也想問時間點,因為其實我們上一屆
transcript.whisperx[83].start 3694.093
transcript.whisperx[83].end 3695.053
transcript.whisperx[83].text 我們來試試看。我們全力以赴。
transcript.whisperx[84].start 3724.171
transcript.whisperx[84].end 3726.073
transcript.whisperx[84].text 謝謝發言委員謝謝陳院長的備詢接下來我們請登記第三位
transcript.whisperx[85].start 3753.782
transcript.whisperx[85].end 3755.123
transcript.whisperx[85].text 陳委員欲爭質詢陳委員早 恭喜陳委員當選連任
transcript.whisperx[86].start 3780.55
transcript.whisperx[86].end 3796.336
transcript.whisperx[86].text 謝謝院長,歡迎再到金門跟我們指導。這個院長您說過您扶國立民的政策不會因為是看守內閣就不續推嘛。是。所以呢我們下面幾件事情我們也請院長繼續來很快的來協助我們金門地區。好,我來聆聽。
transcript.whisperx[87].start 3797.645
transcript.whisperx[87].end 3813.571
transcript.whisperx[87].text 今年的大紅之家事實上床位非常的擁擠因為金門老齡人口老齡化非常的嚴重所以我們大紅之家事實上已經是一床籃球一位籃球大概都要等很久那之前在選前的時候本期曾經就是
transcript.whisperx[88].start 3816.217
transcript.whisperx[88].end 3832.596
transcript.whisperx[88].text 警政署在金門有一個警官會館,使用率非常低,那時候我們有去辦過會刊,後來要把金門的警官會館轉型成大同之家的二館,讓我們的老年人可以及早的進駐。
transcript.whisperx[89].start 3834.424
transcript.whisperx[89].end 3858.793
transcript.whisperx[89].text 這個後來我在內政委員會也質詢過我們林部長。那這個我知道這個進度,部長那時候說這要等金門憲政委員簽公文上來的時候才會往下辦理。那我知道就有那個金門憲政委員已經把相關的計畫送上來了。然後警政署署長那邊也已經同意了。現在公文是到這個林部長的手上齁。那這個部長這邊是,這個案子是到你手上覺醒就可以了嗎?還是說還要到我們院長這裡?
transcript.whisperx[90].start 3861.158
transcript.whisperx[90].end 3887.103
transcript.whisperx[90].text 部長您先回答一下這個案子還沒有到我桌上,不過我詢問最新的一個資訊是已經送到部裡面了,我們會盡快簽辦。那到您這邊就可以了嗎?這個應該是到部就可以了,到部就可以了。到部長就可以了,然後部長您這一點會同意嗎?就是把我們警官會館,警政署已經同意了,變成我們大鴻之家的惡館,我們還是留一些空間給警政署使用還是有了?
transcript.whisperx[91].start 3888.052
transcript.whisperx[91].end 3914.447
transcript.whisperx[91].text 我想這一部分如果這個警政署跟金門縣政府已經協調好我想原則上我們會來支持不過就是跟委員報告後續的預算的部分大家再來討論這個後面怎麼來整建各方面好謝謝那我們把景觀會館就轉型成大同之家二館讓這個金門的老年人可以及早的入住大同之家對好謝謝院長謝謝院長支持預算也要支持好
transcript.whisperx[92].start 3915.407
transcript.whisperx[92].end 3935.84
transcript.whisperx[92].text 接著這個國家公園的部分,106年金門國家公園的範圍佔了金門全島的大概四分之一。那這個民眾對這個因為國家公園是當然幫我們做得很好,保存建設也很好,但是也有很多的限制,造成居民的不便。不過我們金門一直希望比照這個澎湖跟馬祖做成這個風景管理區。
transcript.whisperx[93].start 3936.5
transcript.whisperx[93].end 3938.221
transcript.whisperx[93].text 目前為止已經進行7年了,不知道這個進度現在如何?
transcript.whisperx[94].start 3938.221
transcript.whisperx[94].end 3938.241
transcript.whisperx[94].text 這個部長
transcript.whisperx[95].start 3953.391
transcript.whisperx[95].end 3971.365
transcript.whisperx[95].text 是,這個在2月份的時候,大概民眾跟公民團體提出來的陳情意見大概有112件。目前這個已經在修正相關的一個書圖的一個草案,那預計是大概3月中左右。那中就現在?對。
transcript.whisperx[96].start 3972.543
transcript.whisperx[96].end 3973.684
transcript.whisperx[96].text 總共大概要多久的時間呢?
transcript.whisperx[97].start 3990.222
transcript.whisperx[97].end 4003.11
transcript.whisperx[97].text 就看這個審議的結果,因為案子蠻多的,它有112件。這個請禁訴,已經進行7年了,希望520之前可以完成嗎?因為有100多件。效率好一點。我們加強啦。
transcript.whisperx[98].start 4007.193
transcript.whisperx[98].end 4007.413
transcript.whisperx[98].text 毛孟靜
transcript.whisperx[99].start 4026.841
transcript.whisperx[99].end 4027.522
transcript.whisperx[99].text 不管在行政方面或是預算方面都請支持
transcript.whisperx[100].start 4052.905
transcript.whisperx[100].end 4081.94
transcript.whisperx[100].text 我們樂觀其成我們也會來協辦不過也請委員就是比如說包括像體育部體育署還有包括像這個運動基金觀光署院長這邊也是幫忙交代體育署還有交通部這邊也幫忙預算來協調我們可以來參與協辦預算的部分我們除了協辦以外我們也需要你們的經費移除我們很多事情金門縣政府都是自己比較獨立打拚大家中央都一直覺得金門縣政府的這個
transcript.whisperx[101].start 4082.7
transcript.whisperx[101].end 4082.82
transcript.whisperx[101].text ﹚發言委員:
transcript.whisperx[102].start 4098.69
transcript.whisperx[102].end 4114.553
transcript.whisperx[102].text 我敢說我對這件事情的了解算是全面性的,我不只是只有跟聽我們官員或者是媒體報導,我事實上當面跟所有的單位都做過,包括海巡執法的當事人,包括
transcript.whisperx[103].start 4115.234
transcript.whisperx[103].end 4143.473
transcript.whisperx[103].text 剛好做驗屍法醫也是我的朋友所有的還有對岸的家屬對岸的這個從國台辦到這個全州市台辦這個各個單位我都聊過了所以我想我對這件事情比較有全面性的這個了解我想請問這個院長最近到今天為止因為當然第一階段到一個段落了暫時就停下來但是已經變成一個國際的事件然後而且看起來對兩岸的這個局勢就有這個就變成是一種
transcript.whisperx[104].start 4145.063
transcript.whisperx[104].end 4147.044
transcript.whisperx[104].text 院長,您知道以前有一個金門協議嗎?1990年,您知道這件事嗎?
transcript.whisperx[105].start 4155.984
transcript.whisperx[105].end 4169.335
transcript.whisperx[105].text 我知道有這樣的一個基本協議,但是我在這裡跟委員說明一下這個金夏海域的這個事件,實際上我們海巡署就是為了要確保這個漁民的潛意我現在只有兩個問題要問,第一個金夏協議,我要問兩個問題,第一個就是說往下是要怎麼處理?
transcript.whisperx[106].start 4175.52
transcript.whisperx[106].end 4177.24
transcript.whisperx[106].text 我講金門快艇案就像這裡講的嘛就是一定要等到我們這一個
transcript.whisperx[107].start 4201.407
transcript.whisperx[107].end 4228.761
transcript.whisperx[107].text 但是法務部的速度,法務部院長,你有沒有覺得法務部大概多久可以把這個事情調查出一個大概一個初步的段落?因為今天法務部﹖您啊,您啊,你是院長,法務部沒有跟您啊。我是當然是越快越好。越快越好,比如說多久?一個月、兩個月、三個月?這個司法,我們尊重司法偵辦的時間。當然尊重司法,但是有這個涉及這麼大的國安事件的總要一個時間嘛,壓一個時間就好了。你要多久你覺得比較合理的?
transcript.whisperx[108].start 4229.521
transcript.whisperx[108].end 4247.561
transcript.whisperx[108].text 五二零之前總是可以吧?現在都已經三月了。我們盡快,我們盡快來辦。所以你也不敢承諾嗎?這是一種決心的表現。這個我們要尊重司法。沒有尊重司法,但是你要給他時間來個案子辦得好。這種案子也不是很複雜。
transcript.whisperx[109].start 4248.542
transcript.whisperx[109].end 4258.733
transcript.whisperx[109].text 那現在的情況就是說還需要一些海事鑑定啊等等的判斷嗎?那這些東西都應該要加快嘛那也不能一件事情遙遙無期嘛影響到整體的儀式發展嘛那我先問第一個問題那個院長您知道這個進門協議嗎?
transcript.whisperx[110].start 4266.514
transcript.whisperx[110].end 4293.471
transcript.whisperx[110].text 院長知不知道?我知道,但是我不曉得你不知道,陸委會知道吧?陸委會知道,院長不了解,如果要處理兩岸事務,不知道以前跟過去的事情就很難處理現在跟未來的事情。今天協議,其實當初,那我想說,我請問陸委會好了,是不是用這個模式,下去是用這個模式,用兩岸這個紅十字會這個模式,民間的這個模式來往下處理這件事情,這樣是不是會整個事件
transcript.whisperx[111].start 4294.851
transcript.whisperx[111].end 4323.34
transcript.whisperx[111].text 委員的提案當然是一個可以選擇的項目那委員大家也知道1990年金門協議之後呢其實兩岸簽訂了很多的協議各部會都有很多的合作我現在是在指這一件事 包括供答犯罪啦或者是其他各部門的協議海巡署跟他們也有一些協議主委謝謝不用在這邊幫院長上課我是想請問你下去解決這個事情是不是用這個方式民間的方式來紅十字會對紅十字會模式是不是一個比較好的模式海委會要回答嗎
transcript.whisperx[112].start 4324.861
transcript.whisperx[112].end 4343.696
transcript.whisperx[112].text 報告委員我們了解過去海基會與金門地區的紅十字會也好或者是縣政府也好或者是在地的人士也好有很多合作的機會然後解決了很多的問題那這一次的案件主要是因為相當程度有升高為政治性的
transcript.whisperx[113].start 4345.317
transcript.whisperx[113].end 4348.819
transcript.whisperx[113].text 第二,我要問的比較重要,因為時間快到。 這個下去海巡弟兄如何執行?
transcript.whisperx[114].start 4348.819
transcript.whisperx[114].end 4350.48
transcript.whisperx[114].text 那我們看到最近比較,大家比較看到的是最近這個劉武殿的這個事件。
transcript.whisperx[115].start 4371.753
transcript.whisperx[115].end 4393.926
transcript.whisperx[115].text 現在這個航道,大陸的清淨船已經進入我國的淨線制水域,在那個橘色那個框框有沒有,那個橘色是淨線制水域,那個橘色那個是大陸的清淨船,就這個劉武甸這個水道上面,它已經經過從我們的列嶼跟大海膽中間經過,那你們知道這件事嗎?以後海巡人員遇到這樣的事情第一線要怎麼執法?
transcript.whisperx[116].start 4395.307
transcript.whisperx[116].end 4412.694
transcript.whisperx[116].text 清淤的範圍是在廈門的海域,不是在我們的近縣制海域。他的船隻已經進入我們的近縣制水域作業了。清淤之後,他航行未滯留經過近縣制水域,我們都有派船變航。大陸船可不可以進入我們的近縣制水域?做清淤?
transcript.whisperx[117].start 4412.694
transcript.whisperx[117].end 4414.515
transcript.whisperx[117].text 不可以啊。 不可以,誰告訴你不可以?
transcript.whisperx[118].start 4418.042
transcript.whisperx[118].end 4423.423
transcript.whisperx[118].text 這是根據兩岸人民關係條例的根據交通部104年12月14號交行制有一個公告在這裡104年12月17號開始實施運送客貨輪迫經過金銜之水進入大陸地區廈門港是被允許的
transcript.whisperx[119].start 4444.875
transcript.whisperx[119].end 4444.995
transcript.whisperx[119].text 主席
transcript.whisperx[120].start 4467.333
transcript.whisperx[120].end 4483.32
transcript.whisperx[120].text 在陸委會沒有充分的告知其他的相關部會的很多法律規定以後,在第一線執行的海巡練員非常的辛苦。他們不知道有一些規定是可以的,有一些可能是不行的。那你陸委會很了解這個,你知道這個東西嗎?我知道。你知道了齁?所以你知道了齁?
transcript.whisperx[121].start 4484.701
transcript.whisperx[121].end 4485.381
transcript.whisperx[121].text 我現在問的是因為第一線海巡人員要執法非常辛苦
transcript.whisperx[122].start 4509.412
transcript.whisperx[122].end 4528.431
transcript.whisperx[122].text 他們到底要怎麼執法,什麼是可以的什麼是不可以的,應該是驅離啊,帶回來還是趕走還是怎麼樣,這個很難執法,因為對法令有一些舊的東西很多齁,過去的東西不熟悉嘛,不熟悉就是,院長我從這次的這個事件中我發現你們跨部位的協商市場非常弱的。
transcript.whisperx[123].start 4528.951
transcript.whisperx[123].end 4545.957
transcript.whisperx[123].text 您們這個一定要加強尤其面對這麼重要的尤其有關兩岸關係的事情的時候有很多過去我們跟大陸累積很多的善意然後事實上有很多相關的法律規定喔事實上是可以解決很多問題的包括例子包括怎麼樣去溝通這些都是可以解決問題的有時候不一定要走到那麼劍拔弩張那個地步這麼驚嚇所謂的小事
transcript.whisperx[124].start 4554.48
transcript.whisperx[124].end 4554.5
transcript.whisperx[124].text 拜訪議員
transcript.whisperx[125].start 4572.478
transcript.whisperx[125].end 4574.841
transcript.whisperx[125].text 委員其實委員大家也知道這個其實原來已經談得到一定的程度有的有共識有的
transcript.whisperx[126].start 4593.402
transcript.whisperx[126].end 4595.243
transcript.whisperx[126].text 那委員你怎麼看得到呢?那這談判是秘密的啦
transcript.whisperx[127].start 4622.379
transcript.whisperx[127].end 4622.939
transcript.whisperx[127].text 對談是機密的
transcript.whisperx[128].start 4641.494
transcript.whisperx[128].end 4642.034
transcript.whisperx[128].text 主委,這個陸客開放到金門啊?
transcript.whisperx[129].start 4671.201
transcript.whisperx[129].end 4675.262
transcript.whisperx[129].text 謝謝陳委員玉珍的質詢也謝謝陳院長的備詢接下來我們請登記第四位謝委員榮介質詢
transcript.whisperx[130].start 4714.27
transcript.whisperx[130].end 4742.668
transcript.whisperx[130].text 委員長我請那個陳院長麻煩再請陳院長備選陳院長早早早早很危險喔,一隻要把你...因為今天台中的事件發生後我們的特輪剛好就延宕了大概兩個禮拜都在討論那個西部特輪的事情是
transcript.whisperx[131].start 4744.441
transcript.whisperx[131].end 4762.987
transcript.whisperx[131].text 結果事情你也知道我們台灣人說的,瞭解的勝利沒人做,抬頭的勝利有人做。 有博弈嘛。所以剛才發聲蘇丹鴻,當然你的態度是很清楚,我也知道你看事情很苛刻,不然整棟一些委員在這裡你都變成配合了。
transcript.whisperx[132].start 4770.205
transcript.whisperx[132].end 4781.372
transcript.whisperx[132].text 你怎麼會讓所有台灣人覺得蓋生檢驗到的時候應該給當事人有15天的緩衝期。在那個時候,驗出蘇丹洪的時候,你看看我們就多吃15天的蘇丹洪。沒有沒有,這回事不太好。這回事就是這樣,因為什麼?冬季時你這麼做,我表的時候,做生意
transcript.whisperx[133].start 4799.964
transcript.whisperx[133].end 4818.178
transcript.whisperx[133].text 臨檢處行政院長就說這個單位要聘人申訴申訴15天啊。你這樣講完全不對,這婚姻管政府,婚姻管政府查出來以後馬上就有通報,馬上就叫他下架,不能混為一談。我問你,臨檢處行政院院長是不是應該要即時公佈,你也說是嘛。
transcript.whisperx[134].start 4827.39
transcript.whisperx[134].end 4828.215
transcript.whisperx[134].text 你那時候是這樣跟我說的嗎?
transcript.whisperx[135].start 4830.185
transcript.whisperx[135].end 4855.291
transcript.whisperx[135].text 你不會記住嗎?這兩...我...現在你說是不透露...我正在問你,你覺得不會記住嗎?我問你,臨檢出,來賀多邦以前所提出是臨檢出,但是地方檢驗機關若是檢到,是不是要即時公佈?你告訴我是嗎?若是正確的時候,是。我告訴你,所有的那個...你不會記住,好來。
transcript.whisperx[136].start 4858.212
transcript.whisperx[136].end 4873.035
transcript.whisperx[136].text 但是你們最後的調查報告出來,也沒有說是否涉及到污染嗎?這樣他為什麼沒有進行?但是,那個報告,那個報告裡面, 但是你們當時是怎樣?你們當時是強烈在講,我現在不是要跟你講過去的事情,那已經是大熱嘛,你現在看到這個蘇丹紅的東西這麼嚴重,你就知道,我請教你,因為我要你去調查過去有這個案例沒有?
transcript.whisperx[137].start 4886.101
transcript.whisperx[137].end 4897.334
transcript.whisperx[137].text 海關檢到要求退官的時候,若沒有退官,有考決,變贏一個,變更名稱:有退官:
transcript.whisperx[138].start 4902.034
transcript.whisperx[138].end 4913.578
transcript.whisperx[138].text 這個蘇丹紅這件事,如果有這個辣椒粉,我怕喝到蘇丹紅,你就要退關。退關... 你的補充說什麼?你的補充說,還知道你們大家都很愛吃香的,我感覺你的補充因為這個事情,很多人都親眼分開。
transcript.whisperx[139].start 4925.302
transcript.whisperx[139].end 4926.503
transcript.whisperx[139].text 我現在要請教你
transcript.whisperx[140].start 4948.638
transcript.whisperx[140].end 4950.619
transcript.whisperx[140].text 新聞證的事情你知道嗎?
transcript.whisperx[141].start 4950.619
transcript.whisperx[141].end 4953.02
transcript.whisperx[141].text 我知道你說電子身份證嗎?
transcript.whisperx[142].start 4953.02
transcript.whisperx[142].end 4970.33
transcript.whisperx[142].text 是的,好,這件事是很嚴重的。 您補充給我看,請教理一下,來。 麻煩你。 一定有一些細節我不知道了解不了解。 有啦,這我知道有這個... 現在我們大家聽到的,理解到就是說我們要賠償2.8億。
transcript.whisperx[143].start 4974.652
transcript.whisperx[143].end 4985.579
transcript.whisperx[143].text 您對國防發布的不是賠償,是降低損失。但是議長我請教,我本身所接觸到的不是2.8億。您還有付一條4月3日給人家?你知不知道?委員你說4月3日是多一百萬。所以議長你不知道,那我請教你,沒錯嗎?
transcript.whisperx[144].start 5002.725
transcript.whisperx[144].end 5026.915
transcript.whisperx[144].text 二、二點八億有沒有包括那些機器。 機器是現在已經存在的。 機器存在,沒有啦,機器存在開多少錢,你給我講一下。 機器存在因為它是已經支付出去,已經是架構機器。 你把副機器的錢連外國,本來我們在講的全部十億多的就是包括機器喔。
transcript.whisperx[145].start 5028.456
transcript.whisperx[145].end 5049.67
transcript.whisperx[145].text 你現在說我們只降到2.8億,讓我們感覺好像你很會做事啊,只有2.8億就解決了啊。 機器是資產啊。 資產,來我告訴你,你的機器,等到我們要重新發行數位身份證的時候,這機器可不可以用錢?
transcript.whisperx[146].start 5051.155
transcript.whisperx[146].end 5060.86
transcript.whisperx[146].text 這些機器從它進口之後都全部都是依照我們相關的一個規定在做運作。它不使用之後其實就是封存。
transcript.whisperx[147].start 5078.919
transcript.whisperx[147].end 5090.182
transcript.whisperx[147].text 所以,我們討論的時候,全部會有10億多嘛。 啊你現在還要去去,我們不會領錢,我們不會出來說只有2.8億。 你讓所有的台灣人,只要說10億多,你喬到2.8億,很高,很高,可以出國比賽。 不是這樣。 如果用這種手法啦齁,你要公開跟台灣人說嘛。
transcript.whisperx[148].start 5103.235
transcript.whisperx[148].end 5132.355
transcript.whisperx[148].text 這條我們就是要整個那機器來我請教你我講一個好不好機器好來好委員是這樣如果我們要用數位ID的時候我們就要有那個機器嘛要有那個卡片的材料當然現在因為這個數位數位身份證還沒有要實施但是這個機器含這個材料還可以用在其他的用具你就這樣就對了嘛對他還有其他使用用具你說最可恨的嘛是啊我跟你說
transcript.whisperx[149].start 5134.375
transcript.whisperx[149].end 5140.077
transcript.whisperx[149].text 這台機器要怎麼保用?你告訴我,要放在哪裡?這台機器現在是在...放在哪裡?這台機器要開機嗎?不然會破機嗎?
transcript.whisperx[150].start 5157.469
transcript.whisperx[150].end 5159.95
transcript.whisperx[150].text 因為當時所有的團體各界都說有各自問題 這不是你的角色我知道
transcript.whisperx[151].start 5188.317
transcript.whisperx[151].end 5201.704
transcript.whisperx[151].text 隱私問題啦,隱私問題。 有這個問題拿走下去,拿走下去。 因為這是一百十年的時候的決定暫緩啦,對啦。 我說的,一百十年後你們好朋友,老兄弟啊,現在的老總統啊,人怕翻車嘛,都遇到事情要面對。
transcript.whisperx[152].start 5212.998
transcript.whisperx[152].end 5222.529
transcript.whisperx[152].text 這就叫做標準的吃緊都破碗,你有感覺嗎?沒有啦,當初在那個溝通的規定中間...不過不管啦,溝通的規定現在出來,要了解這個事情,不對嗎?他還要審視4月3日?
transcript.whisperx[153].start 5229.042
transcript.whisperx[153].end 5230.923
transcript.whisperx[153].text 是不是負了4.3億啦?
transcript.whisperx[154].start 5230.923
transcript.whisperx[154].end 5237.026
transcript.whisperx[154].text 各位委員報告一下喔,因為這一個政策其實是一個持續性,從民國101年的時候開始回報。沒有,剛剛委員已經講過了,因為這個機器是採購,採購進來的。 採購多少錢嘛?你怎麼這樣咧?為什麼不能講咧?
transcript.whisperx[155].start 5237.026
transcript.whisperx[155].end 5237.446
transcript.whisperx[155].text 有保密條款嗎?
transcript.whisperx[156].start 5237.446
transcript.whisperx[156].end 5239.407
transcript.whisperx[156].text 沒有,委員剛剛已經講過了啊。 沒有,我講的對不對啊?
transcript.whisperx[157].start 5258.173
transcript.whisperx[157].end 5261.385
transcript.whisperx[157].text 我講四月三千萬,副理要買機器對不對啊?
transcript.whisperx[158].start 5263.358
transcript.whisperx[158].end 5289.22
transcript.whisperx[158].text 這個數字我在跟委員確認,不過這個數字應該,我們有支付這個買機器的一個方向。我跟國人報告,你要了解,你要去查嘛。這個本來就有啊,剛剛都跟委員說明了。當時在協議的時候就是包括買機器、維修、租金還有他的作業費,所以大約10億多。但你們現在讓我們理解就是全部只有2億8。
transcript.whisperx[159].start 5291.281
transcript.whisperx[159].end 5296.504
transcript.whisperx[159].text 只有2億8千,所以我們已經降低損失,不要這樣啦!
transcript.whisperx[160].start 5296.504
transcript.whisperx[160].end 5298.565
transcript.whisperx[160].text 不然就太多問題嘛!
transcript.whisperx[161].start 5298.565
transcript.whisperx[161].end 5301.526
transcript.whisperx[161].text 這也不是你進來的過程嘛!
transcript.whisperx[162].start 5301.526
transcript.whisperx[162].end 5303.908
transcript.whisperx[162].text 不是啦,這機器還可以用嘛!
transcript.whisperx[163].start 5303.908
transcript.whisperx[163].end 5312.432
transcript.whisperx[163].text 你要來的時候就買了也買了嘛!對,我到任的時候當然就已經採購完。 那為什麼不能把真相讓國人理解嘛?
transcript.whisperx[164].start 5312.432
transcript.whisperx[164].end 5314.153
transcript.whisperx[164].text 不過委員這個之前都已經說明,公開說明過了。
transcript.whisperx[165].start 5320.424
transcript.whisperx[165].end 5330.536
transcript.whisperx[165].text 我問臺灣人看回一個知識,現在你了解到的,臺灣人聽到是沒有人。這件事情我們要賠償兩億八給廠商,但我們也已經付給他四億多機器的費用。
transcript.whisperx[166].start 5340.931
transcript.whisperx[166].end 5352.642
transcript.whisperx[166].text 這機器要維修、要低度運轉,那幾年後不知道我們要做這個身份證,這機器等於偷自己,那你現在說我還讓它再運轉,所以沒有虧損,機器買來備用!
transcript.whisperx[167].start 5360.117
transcript.whisperx[167].end 5362.078
transcript.whisperx[167].text 我給你保證三年來不會做啦
transcript.whisperx[168].start 5389.008
transcript.whisperx[168].end 5405.655
transcript.whisperx[168].text 三年後就對了,這會繼續要怎樣?不要說太多後面的人。 院長,整個決策過程,為了數位身份證這件事情,你能代表政府跟臺灣人民合謀一場嗎?
transcript.whisperx[169].start 5405.655
transcript.whisperx[169].end 5411.558
transcript.whisperx[169].text 這個很難。 我說的所謂吃筋都破碗,不好意思就好了啦,不然這個不好意思你覺得需要嗎?
transcript.whisperx[170].start 5413.118
transcript.whisperx[170].end 5434.025
transcript.whisperx[170].text 這件事當初在觀點時,恰恰是在溝通時,有大家不同意見。 所以說政府目前是暫緩實施,未來溝通後看能不能持續溝通以後看結果是怎麼樣。 到目前為止確實讓大家等了好久,但是還是沒有實施。
transcript.whisperx[171].start 5435.18
transcript.whisperx[171].end 5460.988
transcript.whisperx[171].text 你會覺得不好意思嗎?我是覺得說政府當然這點要跟民眾來表達說,其實在溝通的過程當中沒那麼順利。不然是你一句不好意思這麼說出來,我們台灣人你看這沒什麼意義,我一年這沒什麼意義,頭上人的刮青,你今天一個不好意思就對了,是代表你的管道,我是登記對你這麼謙遜的人。
transcript.whisperx[172].start 5463.888
transcript.whisperx[172].end 5482.252
transcript.whisperx[172].text 但對這個事情我講的價金都不只是兩億八現在等於是最少兩億八就拍板要給人付款的賠償包括付出去的這四億多包括未來維修包括在這我幫你補償一定要我幫你補償我吃兩天三天幫你補償整個加起來超過十億
transcript.whisperx[173].start 5487.232
transcript.whisperx[173].end 5514.443
transcript.whisperx[173].text 包括包括內政部、內部啦。我們現在就是說所有機器,假如最後我們要的方案為什麼會為什麼會因為各自的問題不敢做下去?難道這些機器沒有問題嗎?機器是沒有問題啊。你不想說全部都軟體的問題而已喔。如果你軟體改到了很周全,我跟你說
transcript.whisperx[174].start 5515.908
transcript.whisperx[174].end 5528.614
transcript.whisperx[174].text 這幾期要再調整,所以我不是在騙你啦,我是說這件事要讓國人理解不是只有2.8億,已經將近8億多了啦,沒關係。 來進報告這件事齁,我台南市齁,最近那個天坑的問題啦,你知道嗎?
transcript.whisperx[175].start 5540.953
transcript.whisperx[175].end 5555.513
transcript.whisperx[175].text 倒數過去歷史以來發生過這個下線幾乎都是地下市開發降百分之七十以上當然有一些公共工程那麼這一種預防性的監測來進步進展也有經歷過 有經歷過
transcript.whisperx[176].start 5559.187
transcript.whisperx[176].end 5571.976
transcript.whisperx[176].text 是不是要針對國土署來說,你地下是開挖深度超過多少的東西,你要委外公正單位及技術專業單位來做一個監測。當然身份會提高一些,但是安全的無雙選擇。
transcript.whisperx[177].start 5578.581
transcript.whisperx[177].end 5584.343
transcript.whisperx[177].text 謝謝委員因為從那個包括台北市的這個雞胎的這個發生這個事情之後其實一直在討論這個課題那當然我們相關開挖的規範都有
transcript.whisperx[178].start 5603.698
transcript.whisperx[178].end 5620.944
transcript.whisperx[178].text 阿你提到說第三方的一個監測齁我們現在有必要嗎?我們現在正在審慎有沒有必要?我想從安全的...他就說...他就說我們從情社這必要的嘛!只從社會...這個在成本...身分證加不會很多啦!沒有啦!阿你就問說這個技術上可以提前超前監測嗎?這就要延誼嗎?可以!因為一定延誼...
transcript.whisperx[179].start 5641.742
transcript.whisperx[179].end 5669.13
transcript.whisperx[179].text 謝謝謝委員龍姐能不能因為時間已到我們請行政院給您書面質詢答覆好吧。謝謝陳行政長備詢也謝謝謝龍姐委員質詢接下來我們請登記第五位吳委員配議吳委員配議以質詢以書面提出請行政院書面答覆並列入紀錄刊登公報接下來我們請登記第六位李委員驗秀質詢
transcript.whisperx[180].start 5678.96
transcript.whisperx[180].end 5680.084
transcript.whisperx[180].text 謝謝主席,我們請陳院長再請陳院長備詢
transcript.whisperx[181].start 5689.69
transcript.whisperx[181].end 5708.835
transcript.whisperx[181].text 理委很早,恭喜你當選理委。謝謝院長早安,我們今天希望我們可以在質詢過程當中問出一些我們民眾想要知道的一些答案跟問題。院長,我們在處理年改的時候,我們特別加了一個非常重要的條文,對於物價指數超過5%的時候,或者每4年我們都應該去列入調整。
transcript.whisperx[182].start 5714.517
transcript.whisperx[182].end 5725.87
transcript.whisperx[182].text 今年在選舉過程當中1月4號從新聞上我也看到你有提到說今年因為我們今年CPI從111年我們CPI物價指數漲了2.95112年漲到2.49那上個月主席處公布的CPI物價消費指數又更漲到3.08
transcript.whisperx[183].start 5735.981
transcript.whisperx[183].end 5749.737
transcript.whisperx[183].text 我想物價通膨你非常清楚那從111、112其實也超過5%所以我也感謝院長你看到這些指數已經超過了所以我們行政院也馬上就列入這些討論
transcript.whisperx[184].start 5752.119
transcript.whisperx[184].end 5776.275
transcript.whisperx[184].text 退休軍公教人員很多人都靠著退休金在生活你也非常清楚知道現在物價的指數狀況買一個便當盒要不要加蛋可能120塊要再加蛋可能變135人民的痛苦退休金增加一些些調整一些些對他來說都有很大的幫助更多人是靠這份退休金在生活
transcript.whisperx[185].start 5776.995
transcript.whisperx[185].end 5800.1
transcript.whisperx[185].text 所以我想請問院長,距離上次的承諾,1月5號承諾,很多人批評您說,哎呀,這個又是政策選舉在買票。但是兩個月、三個月過去了,我們現在已經3月12號了,很多人都在等,不是說好要調嗎?怎麼沒有調,我在基層很多人都在問我。所以院長,你要不要回應一下,就是到底
transcript.whisperx[186].start 5800.66
transcript.whisperx[186].end 5803.261
transcript.whisperx[186].text 我想委員最重要的是這樣子因為這裡和物價調整有關那物價調整的最後的那幾個那幾年的這個情況
transcript.whisperx[187].start 5829.918
transcript.whisperx[187].end 5852.329
transcript.whisperx[187].text 是主計處要有一個正式的公告嘛。那所以但是我要跟委員講的就是說去年我們也想說可能會有超過5%所以去年就開始編列預算。 是你已經匡列了44億。院長我知道要法源有法源因為兩年加起來物價指數也超過5%我剛才已經報告過。 但是要真正要調多少要看那個物價指數所以我們才跟這個
transcript.whisperx[188].start 5853.79
transcript.whisperx[188].end 5878.464
transcript.whisperx[188].text 我們的考試院以及教育部、國防部一起,所以最近這個一定會... 院長我知道這不是時間,我知道其實這個都是行政作業,不需要做到兩個月,如果這個事情你覺得很重要,其實早就應該有答案,所以我今天希望具體的幫所有軍公教同仁,請問院長到底這件事情什麼時候可以做,因為
transcript.whisperx[189].start 5879.544
transcript.whisperx[189].end 5897.57
transcript.whisperx[189].text 你到時候當然會追溯到1月1號,但是每個月錢都不夠用啊。所以院長到底什麼時候要做?是5、6年前?還是下個月?還是一個月內?好,在最近就會公告了。所以是各位來的?對。好,感謝院長。時間先暫停,我可不可以請林浩昌林部長。麻煩請內政部備詢。院長我時間不要一直走。
transcript.whisperx[190].start 5905.274
transcript.whisperx[190].end 5916.911
transcript.whisperx[190].text 院長我想第二個政策我想非常重要覺得居住正義是社會正義當中非常重要的一環我相信您同意我同意
transcript.whisperx[191].start 5917.785
transcript.whisperx[191].end 5946.404
transcript.whisperx[191].text 過去7、8年來蔡英文強調我們要興建20萬戶的社宅賴清德更談到他要興建100萬戶社宅的興建有它的挑戰跟困難度不是興建100萬戶是包括包租代管還有房租補貼但是我們都非常清楚包括林佑昌林部長您過去擔任過基隆市市長您非常清楚興建的困難度在哪裡所以我們才有包租代管政策我也關注到您在基隆市市長任內的時候
transcript.whisperx[192].start 5948.125
transcript.whisperx[192].end 5948.405
transcript.whisperx[192].text 來我們來看幾個數據
transcript.whisperx[193].start 5974.622
transcript.whisperx[193].end 5981.274
transcript.whisperx[193].text 我的數據裡面大家看到包租貸款是我們整個過去20萬戶蔡英文的20萬戶包租貸款將近佔了5成
transcript.whisperx[194].start 5985.757
transcript.whisperx[194].end 6008.897
transcript.whisperx[194].text 所以包租代管的政策對我們來說其實是相對重要因為興建要找土地不是那麼容易又要跟鄰近要蓋的時候又要跟住戶去做旁邊林地的住戶做更多的溝通所以包租代管是重要的政策我們也看到過去這七八年我們興建的已完成的只有12.8戶然後我們再看下一張圖表
transcript.whisperx[195].start 6009.738
transcript.whisperx[195].end 6009.958
transcript.whisperx[195].text 當然有差異性
transcript.whisperx[196].start 6038.624
transcript.whisperx[196].end 6058.502
transcript.whisperx[196].text 那我們現在我覺得包租貸款政策做得好很重要您剛才也同意但我們給的獎勵或優惠或給的蘿蔔是你如果提出來包租貸款的話房東可以免一萬五千塊的優惠對不對但是部長你知道嗎新北市跟台北市跟基隆市
transcript.whisperx[197].start 6059.463
transcript.whisperx[197].end 6059.844
transcript.whisperx[197].text 臨時提案委員
transcript.whisperx[198].start 6076.525
transcript.whisperx[198].end 6104.355
transcript.whisperx[198].text 其實我覺得在各縣市應該有差異性或者放寬我們才有機會包租貸款政策能夠做得更成功。 院長部長你同意我的說法嗎?對啦但是我要跟委員講的你剛才提到因為以現在的這樣的免稅額度我們也發現這個包租貸款的事情是很蓬勃在進行甚至有些...對啦但是院長我要告訴你
transcript.whisperx[199].start 6104.995
transcript.whisperx[199].end 6122.728
transcript.whisperx[199].text 我租金很多租金都是隱形收入你積償也不好積償有沒有被課稅不好積償我配合包租貸款我反而被懲罰到房東因為我變成我的租金要揭露對不對部長你同意嗎
transcript.whisperx[200].start 6123.468
transcript.whisperx[200].end 6147.546
transcript.whisperx[200].text 現在我們因為已經修法這一部分是對所以我前幾天我特別在財政委員會質詢的時候我跟莊部長討論說我覺得第一我們的包住代管成功是社會住宅居住正義當中很重要的一環達標很重要的一環但是在各縣市在15000塊第一要不是更放寬我們提高上限第二
transcript.whisperx[201].start 6148.166
transcript.whisperx[201].end 6168.111
transcript.whisperx[201].text 要不然我們就應該有各縣市的租金收入的差異性。 院長您了解我的意思嗎?以台北市來說,譬如說免稅額的差異性,我們應該要出來。 我們的包租代管政策才有機會像基隆做的這麼成功。 你同意我的說法嗎?
transcript.whisperx[202].start 6169.551
transcript.whisperx[202].end 6186.797
transcript.whisperx[202].text 我們可不可以,部長我們可不可以嚴明這樣的方向來進行。謝謝委員的這個建議,當然這個意見其實之前也有人提過,不過他也會衍生其他的一個問題,也就是因為你知道就是所有的那個補助的那個金額跟標準會整個都
transcript.whisperx[203].start 6189.258
transcript.whisperx[203].end 6209.967
transcript.whisperx[203].text 這個沒有一致性還有第二個是其實我們沒有一致性我覺得一條法令的話但是這就是牽涉到你包租貸款要不要成功這件事情各縣市有他的差異性在地價也不一樣租金也不一樣你很清楚在台北市15000塊可以租到9坪的房子在新北市可以租到16坪
transcript.whisperx[204].start 6211.127
transcript.whisperx[204].end 6233.138
transcript.whisperx[204].text 所以我覺得每個縣市要把包租貸款做得更成功,那個免稅額的差異性要出來,我覺得才,要不然你就把它放得更寬,要不然你把它放到3萬塊,那就有機會我們包租貸完成,所以我分兩個層次來跟您建議。第一個就是我們放寬免稅額的上限,譬如說是2萬5、3萬塊,你們去做討論。
transcript.whisperx[205].start 6235.399
transcript.whisperx[205].end 6258.307
transcript.whisperx[205].text 第二要不然就是各縣市要有差異性出來我們才有機會讓包租代管政策在全國各縣市都能夠做得更成功有更多的包租代管的房子願意進來社會住宅的政策才有機會做得更成功委員謝謝你的創意和建議那我們請因為這個會和政府的稅收有關係所以我們會讓
transcript.whisperx[206].start 6259.827
transcript.whisperx[206].end 6262.649
transcript.whisperx[206].text 根本經驗我們最重要的目標還是直接興建,那包租代管是一個過程。
transcript.whisperx[207].start 6280.618
transcript.whisperx[207].end 6283.74
transcript.whisperx[207].text 謝謝委員的建議我們來研議看看可行性多少還有應該怎麼簽那個需要財政部的意見
transcript.whisperx[208].start 6309.437
transcript.whisperx[208].end 6316.432
transcript.whisperx[208].text 好我知道來我們就包装在網站我希望可以去做進一步的研擬好接下來是不是請部長請回我現在請邱主委
transcript.whisperx[209].start 6318.715
transcript.whisperx[209].end 6344.756
transcript.whisperx[209].text 院長部長兩岸的問題其實我覺得整個院裡面不同調我實在是覺得這個到底要人民能夠安心還是應該要緊張我覺得實在是很奇怪國安部部長說他輾轉難眠邱部長說他也睡不好然後我們蔡明彥蔡局長說要國人放心台海的局勢沒有升高
transcript.whisperx[210].start 6345.857
transcript.whisperx[210].end 6372.72
transcript.whisperx[210].text 國防部部長跟局長一個是在對臺灣來說一個是耳目一個是背膀但是兩個人卻是各自表述我們到底應該放鬆還是應該緊張人民應該相信誰我覺得這個問題很重要院長你上一次參加蔡總統召開的國安高層會議是什麼時候上個禮拜三
transcript.whisperx[211].start 6374.461
transcript.whisperx[211].end 6385.176
transcript.whisperx[211].text 我跟委員報告臺灣的一定知道這件事情很重要上次召開國安的高層會議是什麼時候你參與了我們有國安的早餐會報國安高層會議呢
transcript.whisperx[212].start 6388.26
transcript.whisperx[212].end 6406.997
transcript.whisperx[212].text 國安高層會議有沒有針對兩岸的局勢,包括驚嚇的事件,還有包括若魯斷交,還有大陸片面取消M503的航線,針對這些事情到底有沒有召開國安高層會議?都有在討論,都有在國安的相關的會議討論。
transcript.whisperx[213].start 6411.388
transcript.whisperx[213].end 6433.838
transcript.whisperx[213].text 但是沒有召開國安高層會議這個有些機密性的事情我在這裡不方便說明但是確實這一些談到的我請問一下周主委你上一次參加國安高層會議是什麼時候周主委剛剛院長講的其實我們每個禮拜都有一些相關的會議在進行那這個進行包括會長的
transcript.whisperx[214].start 6435.589
transcript.whisperx[214].end 6450.797
transcript.whisperx[214].text 國防、國安、還有兩岸、還有外交等等。 看起來你們兩個說是都有召開嗎?只是或許他不是叫國安高層會,但是都有召開。 那到底開了什麼?
transcript.whisperx[215].start 6450.797
transcript.whisperx[215].end 6454.519
transcript.whisperx[215].text 有一些不能對外揭露,但是有一些應該讓人民放心啊。
transcript.whisperx[216].start 6455.399
transcript.whisperx[216].end 6455.659
transcript.whisperx[216].text 國安的問題我覺得
transcript.whisperx[217].start 6473.098
transcript.whisperx[217].end 6488.811
transcript.whisperx[217].text 國安高層會議我從網路上調閱資料你們甚至對發放過去2022年發放6000塊的現金你們也召開國安高層會議針對烏克蘭的局勢你們也召開國安會議然後包括美國總統大選過後你們也召開國安高層會議所以
transcript.whisperx[218].start 6491.293
transcript.whisperx[218].end 6518.372
transcript.whisperx[218].text 當然有些內容你們不能揭露但是我覺得讓外界知道每一次國安高層會議結束之後你就必須釋放出某一些訊息讓人民可以安心我們現在最大的問題是我們國安局局長跟處部長不同調一個是他輾轉難眠釋放出來的是兩岸局勢很緊張另外一個是要大家放心沒問題沒問題那到底是怎麼樣我們CNN國際分析的記者還說
transcript.whisperx[219].start 6519.713
transcript.whisperx[219].end 6546.513
transcript.whisperx[219].text 台海的局勢沒有最危險只有更危險這是我們從媒體上看到所以我們到底是要相信誰CNN的記者還是我們要相信我們要相信蔡局長還是我們要相信邱部長還是今天邱主委要說什麼我想基本上兩岸的這個情勢它連動到所謂的國際的這個我想委員大概清楚了那基本上大概總統都會在
transcript.whisperx[220].start 6548.835
transcript.whisperx[220].end 6553.937
transcript.whisperx[220].text 主委、院長我覺得兩岸局勢的緊張,我覺得要讓人民知道,現在不同調,蔡總統到底是既定神事嗎?國安局局長昨天在大院的國防外交委員會
transcript.whisperx[221].start 6571.423
transcript.whisperx[221].end 6574.045
transcript.whisperx[221].text 國安局長的講法就是代表整個我們對國安的這個看法
transcript.whisperx[222].start 6598.211
transcript.whisperx[222].end 6623.019
transcript.whisperx[222].text 我們也希望蔡總統要對外釋放出一些訊息。謝謝李委員燕秀的發言。謝謝陳院長的備詢。接下來我們請登記第七位馬委員文君質詢。
transcript.whisperx[223].start 6636.551
transcript.whisperx[223].end 6636.911
transcript.whisperx[223].text 韓院長陳院長陳院長
transcript.whisperx[224].start 6653.419
transcript.whisperx[224].end 6675.228
transcript.whisperx[224].text 在這裡我們剛剛也聽到非常多的委員都對我們所有不管是我們的內政兩岸其實現在有很多很多的問題都值得探討我們也非常感謝院長這段時間其實在各個政策上面我想所有的行政同仁大家都有付出不過
transcript.whisperx[225].start 6675.708
transcript.whisperx[225].end 6695.964
transcript.whisperx[225].text 響鐘
transcript.whisperx[226].start 6696.304
transcript.whisperx[226].end 6717.521
transcript.whisperx[226].text 這個已經是很多年前了,這雖然是只有一個可是我記得當時是一排的日本的相關人員這是因為他們把櫻花開放的日期提早宣布只是因為這樣的錯誤他們馬上鞠躬道歉因為他們覺得對人民造成影響甚至對觀光客
transcript.whisperx[227].start 6718.601
transcript.whisperx[227].end 6735.506
transcript.whisperx[227].text 就這個事件來看我們也看到非常多因為在整個行政過程當中很多人其實都有行政經驗可是你難免有缺失比如說像近期發生的雞蛋的事件蘇丹紅的事件還有包括像數位身份證
transcript.whisperx[228].start 6736.586
transcript.whisperx[228].end 6754.387
transcript.whisperx[228].text 還有像淘機造成很多旅客的不便在他的起降造成很多的混亂這些在在顯示在不管政策也好各方面也好他都有存在疏失可是我們的政府尤其現在執政黨卻不願意道歉
transcript.whisperx[229].start 6755.188
transcript.whisperx[229].end 6772.562
transcript.whisperx[229].text 其實我覺得非常剛剛包括謝榮健議員在詢問的時候我相信院長你只是說溝通不夠好溝通不夠好其實也是一個正確的政策的不周延我們不要說現在就篤定的說他是錯的
transcript.whisperx[230].start 6773.303
transcript.whisperx[230].end 6797.933
transcript.whisperx[230].text 可是至少你的不周延這個讓我們人民浪費了很多的納稅錢因為政府你掌握了所有的包括政策的決定還有包括所有的法規所有的法則還有人民的納稅錢當你在運用這些的時候如果你做了錯誤的判斷花錯了錢或者甚至造成人民的損害照理說政府都應該道歉不是嗎
transcript.whisperx[231].start 6798.956
transcript.whisperx[231].end 6818.354
transcript.whisperx[231].text 啊,如果政府有做錯就要道歉,這是確實的。所以剛剛我念的這些院長也是正文都沒有錯嗎?桃機我們的這個相關的單位都已經有到桃園機場的那個事件有道歉。然後雞蛋的事情的話,實際上這是臨北好遊的一個錯假消息嘛齁。
transcript.whisperx[232].start 6820.675
transcript.whisperx[232].end 6835.444
transcript.whisperx[232].text 一旦的事情我講的不是林北好友,而是我們從巴西進口,然後你這樣子的一個保存期還包括讓人民吃到不新鮮的蛋,而且花了大筆的經費,然後你再去把它銷毀。
transcript.whisperx[233].start 6838.226
transcript.whisperx[233].end 6863.601
transcript.whisperx[233].text 院長,請你不要再微笑。這個部分我很慎重地講。今天如果人家可以為天后的因素都可以造成他們可以道歉。剛剛我講了,今天你在決策的過程,包括你在運用人民的錢,人民的血汗錢,當你自己在花這些錢的時候你會這樣用嗎?這是我今天要提出來的。
transcript.whisperx[234].start 6864.602
transcript.whisperx[234].end 6890.722
transcript.whisperx[234].text 我覺得錯誤難免今天不要說讓大家一直攻擊或者大家產生疑慮或者造成這麼多的傷害的時候政府才今天我們看到副院長行政院副院長他有提到我們以後救這個蘇丹紅的事件我們應該要怎麼樣怎麼樣怎麼樣這個不是更早之前就應該做的嗎那你沒有及時做而且造成已經嚴重危害到全台的食安的問題的時候還不應該道歉嗎
transcript.whisperx[235].start 6893.524
transcript.whisperx[235].end 6912.662
transcript.whisperx[235].text 這是沒有錯的嗎?這是我今天其實在看到很多委員提出來的時候有感而發,但本來我今天是沒有準備這一點的。 在這裡我們也請院長因為你身為整個中華民國的大家長,很多的政策決定包括
transcript.whisperx[236].start 6913.783
transcript.whisperx[236].end 6938.669
transcript.whisperx[236].text 之前日本北海道他們發生那個鐵道意外事件的時候他們的總裁還以死謝罪36個人受傷他們除了道歉賠償到最後總裁過意不去還以死謝罪他自殺了我們沒有要求說我們需要這樣子需要這樣子做可是當你錯誤的時候你就應該要道歉或者甚至很迅速的不用那個不是政黨之爭
transcript.whisperx[237].start 6940.349
transcript.whisperx[237].end 6961.749
transcript.whisperx[237].text 這個已經影響到全臺所有的甚至包括國際的形象這個本來就應該要及時的做決定而不是這個跟在野黨或者執政黨根本沒有關係所以我想這個是我今天特別提出來的我們希望就這個部分我們盡量減少如果可以道歉或者可以負責
transcript.whisperx[238].start 6962.87
transcript.whisperx[238].end 6990.551
transcript.whisperx[238].text 我相信我們的政策決定會有更少的錯誤發生,因為你會更戰戰兢兢。現在大家人都來消費就好了,你如果有錯的時候甚至連茶葉跟咖啡都可以拿出來類比這是什麼樣的官員。所以我們現在要說的是當你追究責任的時候,今天為什麼我們簡單的犯了一些交通法則都要被罰九百、千萬、三千、甚至萬萬。
transcript.whisperx[239].start 6991.972
transcript.whisperx[239].end 7009.828
transcript.whisperx[239].text 民眾就會痛今天官員什麼都可以在站在這裡大剌剌的做錯了花了人民的錢還可以不用道歉那他當然一而再再而三的犯錯哪有關係這是我們今天要講的態度的問題這部分雖然院長我們不曉得你會不會繼續續任可是
transcript.whisperx[240].start 7012.43
transcript.whisperx[240].end 7021.565
transcript.whisperx[240].text 就這個部分我們還是希望這個政府的政策或者政府的所有的行政都是延續的
transcript.whisperx[241].start 7023.73
transcript.whisperx[241].end 7043.385
transcript.whisperx[241].text 我可以回答嗎?好委員謝謝你的指教我想我們各部會一向都戰戰兢兢來做復國立民的工作那確實有些缺失的地方我們一定會來加以精進改善那應該道歉的我們也會道歉那很重要的這個內閣跟下一任的內閣一定是無縫接軌委員不用擔心謝謝
transcript.whisperx[242].start 7044.491
transcript.whisperx[242].end 7072.759
transcript.whisperx[242].text 無縫接軌我們希望是對的事情,如果是有錯誤的或是偏賊,你看無縫接軌,這樣月頭要八年後面又四年,這樣大家也很累。所以在這裡我想接下來這是我們特別提出來的,另外就是就國土計畫法的部分希望是不是可以在這裡也先提出一些建議,因為這個牽涉到整個國家我們在未來
transcript.whisperx[243].start 7073.559
transcript.whisperx[243].end 7073.579
transcript.whisperx[243].text ﹚廣告
transcript.whisperx[244].start 7093.903
transcript.whisperx[244].end 7111.158
transcript.whisperx[244].text 我簡單舉一些例子來講,因為臺灣的地形地貌,其實它大概都是組成除了平地以外,平原以外,其實很重要的組成是山坡地還有河川,這個在臺灣分佈非常的廣泛,尤其它的面積也非常大。
transcript.whisperx[245].start 7111.658
transcript.whisperx[245].end 7125.956
transcript.whisperx[245].text 你從北向台北基隆基隆可能是還比較特殊的我想部長對自己的你在之前治理過的一個縣市也非常的熟悉可是往往底下包括桃園
transcript.whisperx[246].start 7126.917
transcript.whisperx[246].end 7129.919
transcript.whisperx[246].text 我現在舉例來說比如說像南投縣的縣內他大概74%的那個土地位置都是在國土保育區上面
transcript.whisperx[247].start 7149.653
transcript.whisperx[247].end 7149.753
transcript.whisperx[247].text 國土計劃法
transcript.whisperx[248].start 7164.833
transcript.whisperx[248].end 7189.226
transcript.whisperx[248].text 為什麼說有不周延的地方?因為在這個過程當中各縣市政府當初是委託各縣市政府去辦理相關的這些分區土的劃設不過因為人力還有資源還有很多的因素其實他沒有辦法去實地的去做現勘或者就現有的一個現況現貌去做調整
transcript.whisperx[249].start 7190.006
transcript.whisperx[249].end 7204.368
transcript.whisperx[249].text 而是照過去的一些圖資所以有一些圖資他已經很久了比如我舉例來說我相信院長跟部長都對濟南大學一定有印象吧濟南大學是一個台地
transcript.whisperx[250].start 7205.069
transcript.whisperx[250].end 7223.104
transcript.whisperx[250].text 他這個臺地他也在山坡地上可是既然他大學這個臺地他已經從早期甚至有平埔族還有原住民族其實因為埔里是一個盆地像這些臺地都非常的穩定然後也沒有從來沒有發生過什麼土石流啊什麼的
transcript.whisperx[251].start 7223.624
transcript.whisperx[251].end 7223.644
transcript.whisperx[251].text 韓國瑜
transcript.whisperx[252].start 7243.49
transcript.whisperx[252].end 7243.51
transcript.whisperx[252].text ﹚廣告
transcript.whisperx[253].start 7273.91
transcript.whisperx[253].end 7293.542
transcript.whisperx[253].text 可是你當你用這個圖面直接把它畫上去的時候,我旁邊中壇公路大家也有走過嘛,從台中要到日月壇這一條公路,其實它旁邊有很多的住宅,很多的民宅,它是私有地喔,而且是建地,可是它都被河川治理線直接畫,不能蓋房子。
transcript.whisperx[254].start 7294.667
transcript.whisperx[254].end 7321.571
transcript.whisperx[254].text 不能居住,它已經在那裡蓋了好幾十年,住了好幾代了,可是因為你這樣一畫,它是有地耶,又是間地耶,然後它的河川是可能在旁邊的10米,幾乎也不是10米,10層樓高,它要淹也淹不上來,可是你畫不是就現況,你沒有去現地看,說這個到底要不要規範它,那你直接就畫一條線它就不能用了。
transcript.whisperx[255].start 7322.171
transcript.whisperx[255].end 7340.537
transcript.whisperx[255].text 所以在在的顯示我們我舉這些例子是說我們在整個國土計畫法裡面其實各個縣市都有發生這樣的問題是不是就還沒有很周延沒有辦法用現況去做調整的情況之下是不是可以暫緩實施因為這個部分我們請因為
transcript.whisperx[256].start 7343.338
transcript.whisperx[256].end 7365.09
transcript.whisperx[256].text 這是人民的權利的問題包括他的財產權我想這個可能全國各地都有發生所以這個部分在請院裡面是不是院長可以跟相關的部門或者相關的部會可以做充分的溝通聯繫然後再一次審慎的評估因為不然你到時候又會像一些農地上面的工廠
transcript.whisperx[257].start 7366.01
transcript.whisperx[257].end 7391.733
transcript.whisperx[257].text 他明明是違法的可是你現在想方設法讓他就地合法那又傷害到很多原來在農地上面耕作的農民他蓋他要蓋農舍很困難可是像可以營利的工廠其實我們這個當然也是有一些歷史的淵源那你又立了這樣的法再去再去讓他變成好像可以合法所以
transcript.whisperx[258].start 7392.073
transcript.whisperx[258].end 7393.794
transcript.whisperx[258].text 國土計畫法在各個縣市在執行上都有很大的困難,而且各個縣市來負責,所以我們也
transcript.whisperx[259].start 7409.326
transcript.whisperx[259].end 7412.107
transcript.whisperx[259].text 國土計畫一開始的核心其實就是因為我們台灣的國土超限利用所以為了國土的永續
transcript.whisperx[260].start 7436.601
transcript.whisperx[260].end 7451.56
transcript.whisperx[260].text 那當然他在畫攝的時候從國土的保育的區域開始畫攝這第一點。第二個你剛剛提到的這些問題在實際縣市政府在執行推動的時候的確有碰到這些困難所以我們國土署在跟地方政府在
transcript.whisperx[261].start 7452.753
transcript.whisperx[261].end 7469.285
transcript.whisperx[261].text .條溝通的時候也針對這些問題希望能夠這個意義的來解決那第三呢這個你剛提到的那個應該是行水就是應該是水利的行水區跟他實際的這個使用分區有
transcript.whisperx[262].start 7470.292
transcript.whisperx[262].end 7495.282
transcript.whisperx[262].text 這個落差不符合的這個狀況那這個其實是可以個案來做檢討不是不是部長這個不是個案我剛剛講的它全部都是普遍的問題因為它整條河流它整條河流不是沒有沒有不是它不是我說的不是它不是河川治理線而已它還有包括它因為我們在整個範圍裡面我們有提到的可能包括
transcript.whisperx[263].start 7495.882
transcript.whisperx[263].end 7499.085
transcript.whisperx[263].text 所以我說的不是個案他是整條河川線
transcript.whisperx[264].start 7525.145
transcript.whisperx[264].end 7526.366
transcript.whisperx[264].text 時間是法定在裡面,所以這部分還需要,時間還需要修法。第二個是我們現在
transcript.whisperx[265].start 7577.898
transcript.whisperx[265].end 7579.943
transcript.whisperx[265].text 謝謝馬文君委員的質詢。謝謝陳議長的備詢。報告院會現在休息10分鐘。我們現在休息。
transcript.whisperx[266].start 8172.273
transcript.whisperx[266].end 8194.205
transcript.whisperx[266].text 現在我們繼續開會接下來我們請登記第8號李委員昆城質詢謝謝院長我們請陳院長再請陳院長備詢
transcript.whisperx[267].start 8202.701
transcript.whisperx[267].end 8230.36
transcript.whisperx[267].text 院長恭喜你當選謝謝,謝謝院長這個昨天看到一個非常難過而且憤怒的一個新聞那就是有這個保姆涉嫌把兒童虐待致死的案件那相信院長也看到這個新聞我看了很難過我相信大家看了都非常難過那尤其我們自己有小孩看到這個新聞會非常難過就是說這個問題就在於說這個小孩他是在一個高風險家庭的一個家庭
transcript.whisperx[268].start 8231.021
transcript.whisperx[268].end 8256.723
transcript.whisperx[268].text 然後他透過這個新北市社會局跟台北市社會局轉介到這個兒童福利聯盟那兒童福利聯盟呢他也去找了這個具有這個合格的居家保姆證書的人的保姆來照顧這個小孩但是從這個去年的9月送到這個流行保姆到去年的12月24號這個兒童被虐致死死亡了
transcript.whisperx[269].start 8257.483
transcript.whisperx[269].end 8259.304
transcript.whisperx[269].text 在這個環節就我們目前所掌握的確實在對於這些兒童我們是需要有定期去訪視了解他的情況。
transcript.whisperx[270].start 8272.537
transcript.whisperx[270].end 8295.768
transcript.whisperx[270].text 那就我們所了解呢,他這個訪視的這個情形呢,雖然有趣,可是並沒有發現問題所在。 所以我們衛福部呢,實際上在就已經因為這個重大事件的發生,希望能夠來了解,更了解這個地方政府所做的這一些情況。 那並且呢也規定了這個訪視的頻率要增加,而且訪視人員的這個訪視的能力也要加強。
transcript.whisperx[271].start 8302.031
transcript.whisperx[271].end 8321.731
transcript.whisperx[271].text 這個訪試包含這個臺北市社會局的訪試然後還有兒福聯盟社工的訪試那我看一下這個新聞的報導就是說這個臺北市的訪試到目前為止只有一次那這個兒福聯盟的訪試本來應該一個月一次應該有4次但是到12月的時候那一次因為保姆說有其他問題就不讓他看
transcript.whisperx[272].start 8322.352
transcript.whisperx[272].end 8342.843
transcript.whisperx[272].text 在最後一次沒有看到,但是最後一次12月4日就發生這個悲劇了。所以說剛剛院長提到說這個訪視的頻率要增加。當然就是說我認為就是說當這個社工去做訪視的時候,如果能夠多了解一下這個孩子的一個兒童的身體跟心理的狀態,
transcript.whisperx[273].start 8343.983
transcript.whisperx[273].end 8348.774
transcript.whisperx[273].text 或許在12月之前就能夠發現這個問題所在我自己也認為說有三個問題也請教一下院長就是說
transcript.whisperx[274].start 8352.932
transcript.whisperx[274].end 8376.066
transcript.whisperx[274].text 第一個我們要先檢討高風險家庭兒童轉介的安置的機制因為他是高風險家庭他跟一般的比如說我們送給保母居家保母我們還可以定期去看我們可以瞭解一下說保母的情況是怎麼樣但是這個是屬於高風險家庭父母都不在有跑路有的在監獄裡面沒辦法看就完全只能託給這個兒福聯盟還有他們的這個社工去造勢去訪視這是第一個問題
transcript.whisperx[275].start 8377.011
transcript.whisperx[275].end 8396.904
transcript.whisperx[275].text 第二個就是說這是老問題的社工缺人低薪流動率高而且在訪視的時候呢他並沒有公權力就是說如果保姆不讓他去看他也沒辦法看他頂多就是說做個這一個登記這樣子作為下次要不要再續聘這個保姆的一個機制而已他沒有公權力然後第三呢
transcript.whisperx[276].start 8397.577
transcript.whisperx[276].end 8422.674
transcript.whisperx[276].text 居家保姆的審核機制我也認為要加強因為據報導就是說有一位無姓主播他們本來也有跟這個流性保姆也有接觸他也到他家裡面去看過他發現說整個這個居家的環境並不適合照顧他的小孩所以他們就最後沒有讓他接這個案子但是我不知道說為什麼兒福聯盟他們去看了之後發現說那這個流性保姆的家裡是適合照顧這個幼兒的
transcript.whisperx[277].start 8423.928
transcript.whisperx[277].end 8441.098
transcript.whisperx[277].text 所以我認為說對於這個居家保姆的審核機制我認為也是要加強啦委員這裡所提到的這三個機制確實是三個問題確實是需要有加強的地方那對於社工缺人低薪流動率高這個問題我要跟委員報告事實上我們也
transcript.whisperx[278].start 8441.886
transcript.whisperx[278].end 8468.336
transcript.whisperx[278].text ﹚議員﹚
transcript.whisperx[279].start 8468.536
transcript.whisperx[279].end 8468.556
transcript.whisperx[279].text 委員長
transcript.whisperx[280].start 8476.074
transcript.whisperx[280].end 8498.626
transcript.whisperx[280].text 這個社工他們是很辛苦啦,這個他們壓力也很大,然後所以說我是希望說在這個錢的部分,預算的部分,能夠再給予這個協助,再給予協助啦。這個是有關於,我昨天看到這個新聞,我是真的是非常難過。我也很痛心,然後難過,而且對政治也很憤怒啦,說怎麼可以這樣對待小孩。
transcript.whisperx[281].start 8499.086
transcript.whisperx[281].end 8528.512
transcript.whisperx[281].text 我也希望說這個檢察官或是最後在法院在這個階段的時候不要再輕輕放過啦每次每次這種兒童虐死案那事情的風波新聞一過之後大家就不重視了然後最後在這個量刑這方面都沒有符合社會的期待啦對於正義的期待這檢察官現在已經在偵辦當中啦那他所設的這個罪嫌最高是可以處10年以上的有期徒刑但是我們希望法院在判案的時候
transcript.whisperx[282].start 8528.952
transcript.whisperx[282].end 8538.838
transcript.whisperx[282].text 院長提到這個詐騙集團,剛好有兩個選舉證件要請教一下院長。第一個是加重詐騙的行動,第二個是有關於推動交通安全基本法。這是我在選舉的時候,這是我的證件,所以今天利用這個寶貴的時間來請教這個院長。
transcript.whisperx[283].start 8556.448
transcript.whisperx[283].end 8580.765
transcript.whisperx[283].text 那這個齁,我們行政院老實講齁,在關於這個詐騙這方面,投入的人力啦、物力啦,防止這個詐騙的決心,那甚至這個完成打詐無法。但是老實講,我們自己在選舉的時候,大家最,就是最嫌罪多的地方,就是打詐。就認為說政府有做,但是民間的感受跟政府做的這個期待是有很大的落差的。
transcript.whisperx[284].start 8582.046
transcript.whisperx[284].end 8585.389
transcript.whisperx[284].text 按照107年到111年警政署的刑事案件統計,詐欺成長只有詐欺是成長26%,其他毒品切到酒駕都有下降,詐欺是成長的
transcript.whisperx[285].start 8606.989
transcript.whisperx[285].end 8635.587
transcript.whisperx[285].text 然後呢,詐騙的這個經濟規模我用這個財產的損失還有這個攔阻的金額把它算起來當作一個是一個詐騙的經濟規模從2021年的81.5億到2023年呢到了178.5億就是說這個詐騙的總金額其實是提高的雖然你攔阻有增加但是總的金額是增加的所以民眾不滿呢就在於說這個詐欺這個時代是非常的氾濫
transcript.whisperx[286].start 8636.465
transcript.whisperx[286].end 8644.668
transcript.whisperx[286].text 而且法官的輕判,剛剛有提到,法官輕判舉幾個案子,洗錢90億涉案20人,結果態度良好就緩刑。查詐騙集團還有賭博網站的洗錢水房,30人以3萬到20萬元交保,很輕。
transcript.whisperx[287].start 8658.229
transcript.whisperx[287].end 8673.377
transcript.whisperx[287].text 警方的N化車收證沒有證據能力,然後最後是詐騙集團這四個人無罪定驗,這個都跟人民期待有非常大的落差。然後法務部的統計,詐欺判刑在3年以上只佔0.5%,從106年到110年,這5年,這個總共判刑3年以上,
transcript.whisperx[288].start 8681.16
transcript.whisperx[288].end 8682.141
transcript.whisperx[288].text ﹚三、3月12日下午1時50分為處理臨時提案時間。
transcript.whisperx[289].start 8700.838
transcript.whisperx[289].end 8714.409
transcript.whisperx[289].text 現在的詐騙是一個有組織性的科技、金融、智慧化跟結合暴力集團的一個新型態的犯罪手段。所以把這個刑責加重,然後強化電信業者還有數位中介服務提供者的這個
transcript.whisperx[290].start 8715.632
transcript.whisperx[290].end 8738.276
transcript.whisperx[290].text 防止詐騙的義務跟責任還有最後就是納入這個量刑的準則不要說有的判得很輕有的無罪那是判得很重的很少所以我想請教一下院長跟部長現在關於這個打詐專法那應該是有這個會用打詐專法的方式來這個杜絕這個詐欺我想請問一下目前進度如何
transcript.whisperx[291].start 8738.815
transcript.whisperx[291].end 8761.033
transcript.whisperx[291].text 現在打詐裝潢正在請各部會來積極嚴禮裝潢的內容這一個部分會健全電信金融機構還有數位經濟的管理等等這一個部分我們會來提高詐欺的行則都會用打詐裝潢來做我們也希望能夠盡快的來完成送到大院來做審議
transcript.whisperx[292].start 8761.954
transcript.whisperx[292].end 8781.504
transcript.whisperx[292].text 那有辦法在520之前送來我們立法院嗎?我來請他們加緊看看。不過我這一件整件事情是羅秉成政委在統籌。那我也要請教他最近發布會這一個努力的程度。我知道你們最近有密集在開會啦。那部長?
transcript.whisperx[293].start 8783.035
transcript.whisperx[293].end 8802.965
transcript.whisperx[293].text 部長,這個組織單位應該是內政部嗎?我們是統籌,因為這部分會涉及包括金管會、NCC書發部還有法務部相關的一個單位,所以院是交由內政部來提案領銜,不過這涉及相關機關。那我跟委員報告最新的進度是3月7號的時候,
transcript.whisperx[294].start 8804.198
transcript.whisperx[294].end 8822.193
transcript.whisperx[294].text 各部會所提的相關的一個草案已經回到內政部我們在進行會診那接下來在3月的下旬還有4月的下旬會由院這邊來密集召開相關的一個會議來進行進一步的一個討論那院裡面的一個指示是希望用以這個會期
transcript.whisperx[295].start 8824.235
transcript.whisperx[295].end 8825.355
transcript.whisperx[295].text 來提交立法院為目標
transcript.whisperx[296].start 8845.586
transcript.whisperx[296].end 8863.399
transcript.whisperx[296].text 這是給你們期許,至少表示一個決心,我們要做了。另外也跟內政部有相關的就是說,我們在之前有通過道路交通安全基本法,現在行政院也把行人交通安全設施條例也送到立法院來做審查了。
transcript.whisperx[297].start 8864.139
transcript.whisperx[297].end 8882.049
transcript.whisperx[297].text 然後呢我老實講齁這個在我們在這個選舉的過程當中齁就很多的這個民怨也關於就是說齁這個齁呃有關於人行道齁這個都沒辦法整治那沒有一條齁這個安全的路齁可以我可以從這個比如說從捷運站走到某一個定點齁
transcript.whisperx[298].start 8883.542
transcript.whisperx[298].end 8902.074
transcript.whisperx[298].text 其實這個捷運站應該已經算是一個重要的交通設施。它附近周圍的這個交通的這個人行道的整治或是關於這個行人安全的這個措施應該是做得最好。但是我發現其實我們還有很多需要加強的地方。那按照這個目前我所拿到的資料是說
transcript.whisperx[299].start 8903.615
transcript.whisperx[299].end 8904.235
transcript.whisperx[299].text 這一部分我請部長來回應
transcript.whisperx[300].start 8929.587
transcript.whisperx[300].end 8942.455
transcript.whisperx[300].text 謝謝委員因為院長非常的重視所以我們有一個永續提升人情安全的一個計畫所以這個是有4年400億那內政部的部分我們是有260億那會分4年來編列分別是20、100、140跟140那我們特別還針對兩個部分是全額補助的
transcript.whisperx[301].start 8952.402
transcript.whisperx[301].end 8969.554
transcript.whisperx[301].text 這跟過去比較不一樣,一個是交通部盤整提供依照式路口的清單,那它可以在113年底前完工的話,這個是全額補助。另外是全民參與街道改善決策平台在全國前10名者,這部分也全額補助。
transcript.whisperx[302].start 8971.422
transcript.whisperx[302].end 8992.871
transcript.whisperx[302].text 這個我按照你們的這個通過的草案這個新聞稿上面我是認為就是說你們是有提到重點但是最後是另外一回事所以你們說現在既有道路上面這個電信箱、油桶、消防栓這些公共設施老實講我們每次在會館的時候也都是遇到這些公共設施這是台電的、這個是中華電信的、這是哪裡的
transcript.whisperx[303].start 8996.092
transcript.whisperx[303].end 9003.316
transcript.whisperx[303].text 我跟委員報告一下這個中央圖法不足以執行地方政府的執行力非常的重要那現在地方政府基本上都有一個這個五大這個管線的整合的一個平台
transcript.whisperx[304].start 9020.035
transcript.whisperx[304].end 9037.533
transcript.whisperx[304].text 那就是做得細不細膩的問題這是第一點。第二個過去的確是東做一段西做一段他可能雖然我們看起來全國的總體的改善的數據或者每一個縣市改善的數據好像看起來很多但是他實際上他並不是串聯的
transcript.whisperx[305].start 9037.893
transcript.whisperx[305].end 9059.945
transcript.whisperx[305].text 那我們在這一次的計畫裡面的KPI會跟過去也不一樣。我們會把所謂的連續性的人行道的長度或者是它連續性的這個開放空間或者是廣場人可以這個安全行走這個空間的面積連續性的面積這個會定為未來的一個KPI跟過去比較不一樣。
transcript.whisperx[306].start 9061.039
transcript.whisperx[306].end 9079.981
transcript.whisperx[306].text 這個齁,你們有四個主要的計畫啦。第一個,入口設施不良的改善。第二個就是說,都市計畫道路一定寬度的人行道要改設。然後第三呢,就是剛剛部長所講的,行人友善區。然後第四呢,指定路段統一重修。那這個都需要錢。我是認為啦,四年四百億已經不夠用。就像很多這個
transcript.whisperx[307].start 9080.742
transcript.whisperx[307].end 9107.688
transcript.whisperx[307].text ﹚議員﹚
transcript.whisperx[308].start 9121.355
transcript.whisperx[308].end 9121.515
transcript.whisperx[308].text 謝謝李委員、崑禎
transcript.whisperx[309].start 9141.83
transcript.whisperx[309].end 9155.005
transcript.whisperx[309].text 謝謝李委員、昆城的諮詢。謝謝陳委員長的備詢。接下來第9號沈伯陽委員之諮詢已書面提出。請行政院書面答覆並列入記錄刊登公報。接下來我們請登記第10號張委員亞林諮詢。
transcript.whisperx[310].start 9176.892
transcript.whisperx[310].end 9183.135
transcript.whisperx[310].text 有請院長跟部長,謝謝。再請陳院長跟內政部,謝謝。總委員好,恭喜你。謝謝院長,院長早安。早安。首先在開始之前,我想要,剛剛李昆城委員也有提到,就是一歲凱開的這個招虐事件。所以這幾點,是因為我看了這個事件之後,我覺得有三個疑點。
transcript.whisperx[311].start 9205.635
transcript.whisperx[311].end 9220.847
transcript.whisperx[311].text 這三個疑點呢主要是說為什麼訪視的社工發現孩子明明有狀況可是卻沒有積極的去通報主管機關那再來就是說第二個是原保姆他本來就已經打算要收養可是為什麼被拒絕第三個
transcript.whisperx[312].start 9222.228
transcript.whisperx[312].end 9239.973
transcript.whisperx[312].text 家長為什麼他沒有選擇攜子入獄是他不曉得有這個可以申請嗎?所以這有三大疑點是希望院長可以責成相關單位去釐清事實的真相看看還有沒有什麼制度面我們可以再改善的那還給家屬一個公道這樣子
transcript.whisperx[313].start 9241.274
transcript.whisperx[313].end 9268.096
transcript.whisperx[313].text 謝謝委員的關心這一個部分確實我們已經請這個衛福部來加強跟這個臺北市政府這邊聯繫然後來了解這個整個事件的來龍去脈希望這件事情不要再發生謝謝謝謝院長那接下來就是進到我今天想要問的有關於第一個問題就是國家為什麼這幾年要積極的推動永續這件事情可以請院長回答嗎
transcript.whisperx[314].start 9270.509
transcript.whisperx[314].end 9299.18
transcript.whisperx[314].text 我想國家的這個永續的發展這個sustainable的這個國我SDG實際上是每一個國家都很重要因為它會牽涉到一個國家的政治、經濟、環境、社會等等的發展還有這個人權的這個保護這都是在這個整個永續發展裡面永續目標裡面我們所需要注意的
transcript.whisperx[315].start 9300.369
transcript.whisperx[315].end 9326.063
transcript.whisperx[315].text 對,剛剛院長有提到就是包含人權的保障,那其實我可以這樣說嗎?就是我們是要保障下一代有一個更好的生活環境,院長跟部長認同嗎?完全認同,而且這也是我們政府應該做的,而且要鼓勵民間一起來參與。那其實兒童遊戲是過去經常被疏忽的一環,那兒童其實是透過遊戲來發展他的身心健康。那不曉得說院長您看這個圖,您知道這是在哪裡嗎?
transcript.whisperx[316].start 9327.639
transcript.whisperx[316].end 9350.731
transcript.whisperx[316].text 我不知道我孫子都比較大了所以沒有覺得沒有很多好像可以攀爬可以那個玩耍的地方對不對好這其實是兒童的職能治療室好那其實有國外的非常多的研究大家都在說明說其實通過充足的遊戲是可以幫助兒童身心發展可以延緩一些問題的那所以呢在去年的時候我們國家有個統計的數字是
transcript.whisperx[317].start 9351.852
transcript.whisperx[317].end 9366.101
transcript.whisperx[317].text 疫情之後兒童身心發展的遲緩人數達到了新高所以我想大家應該非常了解就是說兒童遊戲真的是非常非常重要除了是保障一般兒童還有包含就是幫助兒童可以有更好的避免這些身心疾患的問題
transcript.whisperx[318].start 9368.112
transcript.whisperx[318].end 9382.371
transcript.whisperx[318].text 再來,我們更公立的來講,從國家經濟來講,世界經濟論壇其實在2018年開始就去倡議兒童需要透過遊戲來去學習未來世代必須具備的關鍵能力,像是解決問題的能力、人際關係能力,還有創造力。
transcript.whisperx[319].start 9385.795
transcript.whisperx[319].end 9402.149
transcript.whisperx[319].text 再來我想再分享一個故事,我們不要那麼功利,我們溫暖一點。就是過去我在民間,我一起訪談了非常多的家長,你為什麼會想要來公園玩?其中有一個爸爸講了一個故事讓我覺得非常的感動,他就說大家都教我們爸爸一定要陪小孩,可是我真的不知道怎麼陪小孩。
transcript.whisperx[320].start 9402.79
transcript.whisperx[320].end 9403.09
transcript.whisperx[320].text 好,這個很重要。
transcript.whisperx[321].start 9421.817
transcript.whisperx[321].end 9422.618
transcript.whisperx[321].text 反紅色框框的是公務員數量正在減少的現實
transcript.whisperx[322].start 9449.482
transcript.whisperx[322].end 9476.335
transcript.whisperx[322].text 我們可以看到總數雖然是成長可是呢從彰化或是新竹縣市呢它其實是以二分之一到三分之一的數量在減少那我也非常清楚這是為了符合國家遊戲場的標準所以他們做了一些拆除的動作那也非常感謝國土署在去年編列了一個兒童遊戲場環境設施改善計畫10億元的經費那我想要問一下就是我知道第一階段已經申請結束了現在應該還有3億元那我想要知道說現在第二階段申請的狀況如何
transcript.whisperx[323].start 9481.059
transcript.whisperx[323].end 9495.274
transcript.whisperx[323].text 第二階段的話,剩下3議員大概是在3月12日到3月13日來進行審查會議。那如果是獲得委員同意的這些相關的案件,我們會儘速通知地方政府來辦理。
transcript.whisperx[324].start 9497.471
transcript.whisperx[324].end 9520.908
transcript.whisperx[324].text 我想問一下我跟委員報告一件事情因為這個特殊公園這個案子其實是要非常謝謝院長的支持這10億元是額外增加的這個最主要就是我們要來處理在112年以前因為有一些不符合規定的這些兒童遊憩場的郵具拆掉之後地方政府沒有錢把它重新恢復所以才有這個案子
transcript.whisperx[325].start 9521.601
transcript.whisperx[325].end 9535.076
transcript.whisperx[325].text 沒錯,那我想請教院長跟部長,我們在下一個階段,因為接下來就是有一些要再做審查部分,可是因為我們剛剛有講永續,有一件很重要的事情,也要面對氣候變遷。但是院長也可以看到圖片裡,小孩在哪裡?很熱
transcript.whisperx[326].start 9537.979
transcript.whisperx[326].end 9552.426
transcript.whisperx[326].text 小孩全部躲在那個有遮蔭的地方。 溜滑梯不能溜了,太熱了。 沒錯,太熱了齁。 那再來看到旁邊那張圖,在同一個時間點我們的自然素材跟橡膠地鏈的溫差達到了12度喔。 對,所以其實
transcript.whisperx[327].start 9553.166
transcript.whisperx[327].end 9568.858
transcript.whisperx[327].text 我們因為氣候變遷兒童的遊戲權其實也在受影響所以我在我在想我們在下一個階段裡面我們是不是可以因應氣候變遷的關係再把這些遮蔭設備自然撲滅、吸水設施來作為一個預算核定的標準
transcript.whisperx[328].start 9570.128
transcript.whisperx[328].end 9570.968
transcript.whisperx[328].text 我跟院長還有跟委員做個補充
transcript.whisperx[329].start 9594.731
transcript.whisperx[329].end 9620.199
transcript.whisperx[329].text 這個特殊公園的指引帶遮蔭設備還有包括自然鋪面這大概是在設計準則裡面或者一般的設計大概都會把它納入那最細水設施必須要考慮的除了建制的成本之外其實後續的維護跟管理的成本是更大那這個會涉及地方政府是不是有這個財政的能力可以負擔所以可能不會每一個公園都會設所謂的這個細水的一個設施
transcript.whisperx[330].start 9621.496
transcript.whisperx[330].end 9638.058
transcript.whisperx[330].text 好我再說明一下這三項其實它不一定是全部都需要具備但是希望整個城市裡面盡量的去考量到這個溫度的關係造成兒童有些人受損的影響所以不一定是全部都要那剛剛部長有講到就是說涉及到地方預算嘛所以下一題就是來講預算的問題
transcript.whisperx[331].start 9639.7
transcript.whisperx[331].end 9668.809
transcript.whisperx[331].text 那個預算其實是因為像現在各縣市政府以六都來說我過去在民間六都其實相對有資源也知道怎麼去做一些維管可是其實在非六都的地方他們不管是預算來說非常吃緊而且相對來說他也不知道怎麼去做維管所以在這個時候他們常常就會自己做然後拆了之後被罵上報了他們又覺得很可憐很無辜所以我在想我們是不是有可能中央來成立在下一階段除了這個第二階段結束之後我們還不會有預算持續的來協助地方
transcript.whisperx[332].start 9670.531
transcript.whisperx[332].end 9670.692
transcript.whisperx[332].text 我來補充一下
transcript.whisperx[333].start 9690.522
transcript.whisperx[333].end 9714.657
transcript.whisperx[333].text 其實這個特色公園他可以在他有不同的尺度他也可以在不同的場域所以這個經費跟預算也不一定單單只有在內政部我舉一個簡單的例子來說好了在過去比如說像教育部在補助地方的校園的遊戲場的改善其實就有很多的縣市是把特色公園的精神融入而且他不花很多錢
transcript.whisperx[334].start 9715.587
transcript.whisperx[334].end 9744.456
transcript.whisperx[334].text 他可能用一個同胞的一個方式後來發現說在這樣子的一個做法之下他可以做得多又做得好又做得快所以有現在已經有這些案例跟經驗來做分享這第一個第二個是因為有一些是比如說是在林里公園有一些是在體育場或者是運動場有一些可能尺度更大一點在所謂的都會公園那他都有不同的這個單位在做權管跟負責那
transcript.whisperx[335].start 9745.629
transcript.whisperx[335].end 9766.989
transcript.whisperx[335].text 那但喔因為如果全部都是由中央這個其實地方其實最重要其實執行是在地方政府啦那我們所以我們在中央是希望有一個賠利的一個團隊能夠來協助做的比較沒那麼好的地方政府或者是包括鄉鎮市工作市公所幫他們來做人力的賠利
transcript.whisperx[336].start 9768.49
transcript.whisperx[336].end 9794.671
transcript.whisperx[336].text 我想預算當然會來自於可能各部會因為跟他相關的主管機關有差別但我希望就是院長可以全力的來支持不同的部會都一起來推動兒童遊戲權的這件事情在能夠建設的地方我們就盡量去建設去支持那再來第二個部分剛剛部長也有提到就是說因為尺度的差異非常的大那其實地方縣市有些是非六度的地方他們其實真的很難了解我們是不是有可能有一個中央的主管機關因為我們從現在的這個配置我們的組織圖上面是完全沒有
transcript.whisperx[337].start 9795.492
transcript.whisperx[337].end 9795.712
transcript.whisperx[337].text 內政部內政部
transcript.whisperx[338].start 9809.61
transcript.whisperx[338].end 9829.182
transcript.whisperx[338].text 這個專職單位的設定就像剛才講到的,因為它不同的部會可能也有不同的職責。但是內政部有將近三千個,那至少內政部針對這三千個組織的縣市是不是可以來做一個中央的專職單位,帶領大家一起來成長,不然就變成是各縣市都各自的嗎?
transcript.whisperx[339].start 9829.722
transcript.whisperx[339].end 9848.897
transcript.whisperx[339].text 其實跟委員報告一下,其實並不完全是內政部所全管,因為剛剛在提到他可能涉及很多不同的部會,只是大家聽到公園兩個字會直覺覺得是我們的過去的營建署。不過實際上在地方政府在全管的時候,其實他是分在不同的局處裡面。
transcript.whisperx[340].start 9850.49
transcript.whisperx[340].end 9871.373
transcript.whisperx[340].text 對,所以在地方應該怎麼樣來,我覺得中央這邊有一個很重要的一個工作,就是怎麼樣empowerment,讓地方政府知道這個特色公園的設立應該怎麼樣,那未來等到他們的能力有提升以後,那一些單位應該要來負責,我們可以再來試著跟他們溝通。
transcript.whisperx[341].start 9872.361
transcript.whisperx[341].end 9872.681
transcript.whisperx[341].text 當然可以
transcript.whisperx[342].start 9898.4
transcript.whisperx[342].end 9920.021
transcript.whisperx[342].text 再來就是說我也在想說我們是不是有可能舉辦一些國際研討會因為國際的部分其實都已經在這個領域日新月異了自然地景的設施像剛剛部長說的可是現在大家台灣的各縣市承辦他們知不知道這個他可以這樣子做其實是不知道的那我們是不是可以舉辦這個國際研討會來支持把這些新的知識帶進來給大家讓大家一起成長呢
transcript.whisperx[343].start 9920.732
transcript.whisperx[343].end 9937.298
transcript.whisperx[343].text 這也是Empowerment的一部分。對,所以這個部分我們可能請相關的民間團體來主辦或者是跟政府一起合辦這樣的一個國際研討會,找最棒的單位來分享。
transcript.whisperx[344].start 9938.867
transcript.whisperx[344].end 9952.726
transcript.whisperx[344].text 謝謝,謝謝院長。接下來,因為我時間有限,我先來講這個兒童遊戲權的部分。其實我們過去在講兒童遊戲權的話,我們好像都沒有講到,我們都沒有蓋到12歲到18歲孩子的遊戲權。那他們在哪裡?他們就在手機上面玩。
transcript.whisperx[345].start 9953.046
transcript.whisperx[345].end 9976.869
transcript.whisperx[345].text ⋯⋯⋯
transcript.whisperx[346].start 9977.209
transcript.whisperx[346].end 10004.37
transcript.whisperx[346].text 那這邊都有非常多青少年這邊做很多的挑戰所以是真的青少年不來還是我們沒有提供這個空間我認為是我們沒有給他足夠的空間那在世界經濟論壇他也提到就是說我們如果有足夠的挑戰性是可以幫助孩子降低未來事故的發生率作為一個媽媽我真的非常在乎這件事情就是每一個孩子都是家長心頭的寶貝我們如何的去創造空間讓孩子可以兼具學習跟修憩所以我們是不是可以補助全台
transcript.whisperx[347].start 10004.87
transcript.whisperx[347].end 10007.535
transcript.whisperx[347].text 玩每一個縣市至少有一個青少的遊戲空間呢?
transcript.whisperx[348].start 10010.361
transcript.whisperx[348].end 10039.228
transcript.whisperx[348].text 我想青少年遊戲場還有另外實際上也蠻重要的就是青少年運動的一些活動場所其實都還蠻重要的至於要補助一縣市青少年遊戲場的這件事情我們得要跟地方政府來好好的協商看看什麼樣的這大概什麼時候可以有一個進度呢我想我們還是請內政部來回答一下
transcript.whisperx[349].start 10039.828
transcript.whisperx[349].end 10058.204
transcript.whisperx[349].text 委員我跟您報告一下,我在地方擔任國首長,我想講的是其實這個事情不管是12歲以下還是12歲到18歲的這個遊戲場,其實縣市政府其實就可以做。這個縣市長重視的話,像以前基隆那麼窮,我們自己就可以做。
transcript.whisperx[350].start 10058.784
transcript.whisperx[350].end 10067.453
transcript.whisperx[350].text 但中央我想現在我們在中央那當然可以去就整個全國去把它做一個整體的一個規劃我們來研究再跟院長做報告
transcript.whisperx[351].start 10071.826
transcript.whisperx[351].end 10094.993
transcript.whisperx[351].text 那再來最後一個問題就是說剛剛李昆城委員有提到道安的問題這兒少事故居安不下居高不下那我想問一下就是我們也責成了相關的預算去做這件事情但是我們有沒有什麼樣的評估機制來評估到底有沒有真正的改善那最後我想分享一個就是北美交通安全官員協會他們有提到就是說我們大人知道兒童
transcript.whisperx[352].start 10114.137
transcript.whisperx[352].end 10137.917
transcript.whisperx[352].text 謝謝張委員、雅琳的質詢。後續有什麼資料送給行政院請進行送交行政院好嗎?那如果要什麼資料請行政院來答覆你。謝謝張委員、雅琳的質詢。謝謝陳院長的備詢。報告院會,內政組織質詢現在已經詢答完畢。我們休息五分鐘之後進行外交及國防組織質詢。現在休息。
transcript.whisperx[353].start 10453.602
transcript.whisperx[353].end 10481.508
transcript.whisperx[353].text 報告委員會,現在繼續開會進行外交及國防組織質詢。我們先請省委員柏陽質詢。謝謝主席,那有請院長還有國防部部長,謝謝。請陳院長及國防部備詢。
transcript.whisperx[354].start 10486.937
transcript.whisperx[354].end 10490.18
transcript.whisperx[354].text 好 院長好 部長好那今天我的題目非常的簡單就像這個簡報上面看到的就是在討論這個卓越中心那但我也不得不說其實卓越中心這個名字對大家來講一定都非常的陌生
transcript.whisperx[355].start 10514.434
transcript.whisperx[355].end 10534.896
transcript.whisperx[355].text 那我覺得他其實蠻適合在總質詢這樣的一個場合來跟大家介紹一下就是到底是什麼是卓越中心因為我認為總質詢非常重要的一點是在於對於重大的政策跟方針我們來確認然後以及說未來的方向大概是什麼所以在這邊也希望能夠跟院長稍微對齊一下就是其實我一直都認為
transcript.whisperx[356].start 10535.998
transcript.whisperx[356].end 10555.551
transcript.whisperx[356].text 總質詢很重要的一點是,如果能夠書面解決,能夠書面徵詢的,我們也沒有必要在總質詢浪費時間。第二點就是,其實還是很希望官員能夠有更多的時間,詳細的答覆。因為在各國的立法例上,其實官員的答覆才是質詢的重點。因為這才是可以讓國人知道到底現在及時的我們對於這個政策到底是什麼。
transcript.whisperx[357].start 10556.144
transcript.whisperx[357].end 10565.339
transcript.whisperx[357].text 我們再用我們的專業來進行相關的一些辯論那很可惜的就是一直以來我們到現在我們很多的這個質詢的現狀常常問一些無關的問題然後問一些細節比如說問部長這是幾年幾月幾號才有辦法完成
transcript.whisperx[358].start 10571.368
transcript.whisperx[358].end 10572.108
transcript.whisperx[358].text 我今天其實就只有兩個問題
transcript.whisperx[359].start 10589.074
transcript.whisperx[359].end 10617.079
transcript.whisperx[359].text 第一個問題是跟認知作戰有關因為畢竟台灣現在面臨這個中國不斷輿論的攻擊之下我認為認知作戰應該是我們現階段最需要面臨的問題那第二個問題呢就是跟卓越中心有關所以第一個問題呢最主要的就是說我們想要釐清以國人的角度來講到底什麼叫做認知作戰那部長可能也很熟悉就是其實以這個中國的用語來講就是所謂的輿論戰所以呢從作為一個影子稍微整理了一下就是
transcript.whisperx[360].start 10617.839
transcript.whisperx[360].end 10639.207
transcript.whisperx[360].text 目前這個國防部有提到認知作戰的一個狀況,這裡面很多細節當然不一一過去,但我就隨便講一兩個紅色的部分,比如說這個金門的失聯兵或是廈門防,這個部長有提到這可能是一個認知作戰,又或者說這個網傳金門二單島又有逃兵,那這邊也有提到有可能有認知作戰的伎倆。
transcript.whisperx[361].start 10640.487
transcript.whisperx[361].end 10658.352
transcript.whisperx[361].text 那其實以一般國人的角度來講,它的第一個反應通常就會是到底什麼是認知作戰。也就是說我們今天假設國防部出來講認知作戰它的標準是什麼,然後以及譬如說是誰發動的,它的手法是什麼,還有我們應對的方式是什麼。
transcript.whisperx[362].start 10658.872
transcript.whisperx[362].end 10670.271
transcript.whisperx[362].text 所以在這邊想要先就教於部長趁這個機會讓大家知道說以往過去這些狀況我們說這個是一個認知作戰那我們的標準然後以及我們認定的方式大概是什麼樣子謝謝
transcript.whisperx[363].start 10671.65
transcript.whisperx[363].end 10685.818
transcript.whisperx[363].text 我跟委員報告,這個錯角訊息是一個最認知作戰當中最明顯的。它主要發起的原因在哪裡?就為了要打擊我們,不管軍民實現士氣等等。但它的時機點它也會選擇,比如說最近有什麼議題,它會趁機擴大。
transcript.whisperx[364].start 10691.101
transcript.whisperx[364].end 10715.358
transcript.whisperx[364].text 所以認知作戰的含義就是說在當時的狀況它無聲無息的加進來讓大家認為這是一個普遍的現象所以這的確是蠻嚴重的一點一滴的會影響到不要講說軍方民間的心理也會受到很大影響所以我們在這一方面國軍在對認知作戰防衛方面是做得很徹底
transcript.whisperx[365].start 10716.124
transcript.whisperx[365].end 10745.323
transcript.whisperx[365].text 我們現在基本上因為國家有一個治安防護的一個團隊應變的一個團隊我國防部也是當中的一員那除了配合這個應變團隊的這個行為舉止以外我們是以國防部裡面部內的安穩所當其衝所以我們簡單講一下在部內我們平常就注意到怎麼樣防守讓這些事情不發生一旦發生了我們怎樣馬上把他給抵平這樣的話是我們克刑執責的方法
transcript.whisperx[366].start 10746.824
transcript.whisperx[366].end 10768.093
transcript.whisperx[366].text 謝謝部長那剛剛部長有提到其實蠻重要的一點是在於軍心士氣的一個打擊那又或者我們對於輿論的一個影響那在中國的這個三戰裡面的新戰、輿論戰等等之類是分開的那剛剛部長也有提到資安相關的我們有自動電那我們在這個輿論戰的認定可能會有政戰但我現在會國人很容易疑惑的一點是我這邊用這個這個上個禮拜這個的一個業務報告為例
transcript.whisperx[367].start 10771.889
transcript.whisperx[367].end 10796.566
transcript.whisperx[367].text 就是這邊在最後面畫紅線的這個部分有提到中共利用了這個官方媒體側翼組織在地協力者所以很明顯官方媒體是蠻重要的一個發動單位那我個人認為當然311基地就是解放軍61716部隊也是非常重要的但是因為在報告裡面有提到像側翼在地協力者這樣的一個字眼那我想國人第一個反應一定會是說那誰是在地協力者
transcript.whisperx[368].start 10797.006
transcript.whisperx[368].end 10821.916
transcript.whisperx[368].text 又或者說今天發生的這個國防部指認是一個認知作戰的案件那今天這一個案件誰是在地協力者我們要怎麼知道他是那關於這一點國防部有沒有有一些可能準則啊或者一些說明?跟委員報成為這個整個標題啊這認知作戰一樣那在地協力者也是一個認知的問題我們只要講到你有任何訊息對我們反而不利
transcript.whisperx[369].start 10822.301
transcript.whisperx[369].end 10840.107
transcript.whisperx[369].text 以造成一些言論對我們不利,對他對方有利,這我就初步就認為他在地協力者。但至於他到底是或不是,後面不管檢調單位他們去查。我想每一個人他做任何事情他臉上不會貼一個標籤。
transcript.whisperx[370].start 10841.983
transcript.whisperx[370].end 10856.615
transcript.whisperx[370].text 所以他如果看機會,所以他一開頭就跟委員報告,他這個認知作戰的時機是看整個環境目前有什麼動態,他加進去讓我們不知不覺的就中到這個圈套,這就是可怕的地方。
transcript.whisperx[371].start 10857.47
transcript.whisperx[371].end 10875.815
transcript.whisperx[371].text 謝謝部長,因為這邊就是可以明顯的感覺到就是當然他們今天不管是用滲透的方式、地面的方式又或者說網路大量的假帳號這一些有時候對我們來講很容易認定它是否來自於中國或者解放軍的攻擊但有時候在地協力者有時候他可能會說那是他的言論自由
transcript.whisperx[372].start 10876.235
transcript.whisperx[372].end 10898.502
transcript.whisperx[372].text 甚至有時候在放大中國言論還包含我們自己的立法委員所以有時候就很多曖昧不清的狀態那這種曖昧不清的狀態現階段對我們來講有時候就會形成國防部跟國人溝通的障礙因為有時候我們並沒有辦法那麼清楚的告訴大家誰才是在地協力者連我們的法律就這一點其實都是不清楚那更不要講說我們可能在相關的準則、藥缸
transcript.whisperx[373].start 10899.662
transcript.whisperx[373].end 10900.563
transcript.whisperx[373].text 現在我想要再問的是 我們剛剛講的是標準
transcript.whisperx[374].start 10921.357
transcript.whisperx[374].end 10921.717
transcript.whisperx[374].text 黑色的部分就是
transcript.whisperx[375].start 10937.282
transcript.whisperx[375].end 10938.283
transcript.whisperx[375].text 中國在操作的痕跡。
transcript.whisperx[376].start 10953.721
transcript.whisperx[376].end 10972.733
transcript.whisperx[376].text 另外一個是一年一物易,這邊也有一些他們製造的謠言圖,因為是謠言放在國會殿堂實在是很討厭,所以我先趕快換下一張。但也可以看到那個黑色的部分也佔了一定的量體。但是在這兩個案例,我們都覺得這是一個中國有介入的痕跡,一物易相關的謠言,然後還有這個潛艦國造相關的謠言。
transcript.whisperx[377].start 10975.294
transcript.whisperx[377].end 11002.229
transcript.whisperx[377].text 但國防部在這兩個案件並沒有特別出來告訴大家這是認知作戰。那我知道國防部可能有自己的,譬如說不管是國家安全的考量啊、政策的考量。但是我們在怕的事情就是說,如果我們今天即使確定了我們的標準是什麼,我們有一個準則告訴大家什麼叫做認知作戰。但有一些案件我們說是,有些案件我們沒有發言。那在這樣的狀況之下我們要怎樣讓這件事情變得一致,不知道部長有沒有這方面的想法。
transcript.whisperx[378].start 11002.509
transcript.whisperx[378].end 11029.465
transcript.whisperx[378].text 我跟委員報告啊,要定一個標準都很困難的。就好像講在我們國軍同仁當中,你要哪一個他不是忠誠愛國的。但他會做出一些啊,不管是一些維密啊,或者他不留意,造成一些困擾。但我們不能講,哎,界定。你違背規定了,這規定是既有的。但違背哪些規定,你要一條條列出來,對軍中來講沒問題,我可以列出來。但對民間來講,我要做很清楚的界定。
transcript.whisperx[379].start 11029.915
transcript.whisperx[379].end 11053.815
transcript.whisperx[379].text 怎麼樣我就認定你是一個在地協力者我真的沒有辦法只能看他從這個發出來的信息當中最後不管經過檢調、偵查或者看他後續發展有什麼影響到我們真的有什麼其他比較違背常理的這種反應的話那我們就可以慢慢判定他是在地協力者只有這樣來做的
transcript.whisperx[380].start 11055.358
transcript.whisperx[380].end 11076.271
transcript.whisperx[380].text 謝謝,那部長你這邊提的很好,就是在於說因為它非常困難嘛,界定上它非常的困難,所以我們與其把它當作一黑一白,不如把它當作像是一個光譜一樣,譬如說哪一些是比較接近中國的操作的認知作債,哪一些比較不接近,如果我們有具體的譬如說這邊有列出來一些相關可能的一些標準,我稍微往後一點
transcript.whisperx[381].start 11077.131
transcript.whisperx[381].end 11091.499
transcript.whisperx[381].text 就是呢譬如說不管是這個時機啦可信度啦帳號潛伏的程度啦等等之類的如果這個可以在某個準則裡面然後我們知道說在這些標準裡面譬如說它超過60%了我們可能就會告訴大家這個是一個嚴重的狀況
transcript.whisperx[382].start 11092.279
transcript.whisperx[382].end 11112.284
transcript.whisperx[382].text 那如果不是的話呢,我們可能就先隱而不談,先不界定他是一個認知作戰,這或許是可能的一個方向。那另外剛剛部長也提到非常重要的一點就是,當今天國軍釋出訊息的時候,面對的人非常多。他有可能是要講給大眾聽的,有可能是要講給老共聽的,有可能是要講給上級聽的,也有可能是要講給國際社會聽的。但現在的狀況有時候呢,我們
transcript.whisperx[383].start 11116.165
transcript.whisperx[383].end 11130.59
transcript.whisperx[383].text 都可能藉由部長的嘴裡去把各個必須要溝通的管道可能都是由部長講出來所以有時候認知作戰它不只是說我們今天是不是界定它是作戰的標準跟國人知道而已我們可能還要知道說什麼情況下我們是講給國人聽的
transcript.whisperx[384].start 11131.81
transcript.whisperx[384].end 11158.776
transcript.whisperx[384].text 什麼時候是要講給對方聽的?什麼時候是講給國際社會聽的?這個如果也可以有一個準則讓我們知道的話,我相信這個在我們對國人的溝通上以及對國防部認定這件信心上面應該會有更加為的提升。這是我簡單的一個建議。是,我跟委員也報告,我剛有講我們國防部是一個國家有關於這種應變的一個成員,但我們自己部內也有。
transcript.whisperx[385].start 11159.312
transcript.whisperx[385].end 11169.169
transcript.whisperx[385].text 我們不能推動工作剛剛委員已經點出來了就很難叛變以外但我們有透過很多管道就不管調查局也好我們軍情局也好國安局也好
transcript.whisperx[386].start 11169.784
transcript.whisperx[386].end 11169.804
transcript.whisperx[386].text ﹚廣告
transcript.whisperx[387].start 11191.388
transcript.whisperx[387].end 11194.09
transcript.whisperx[387].text 接下來我想要問的是院長,就是說我覺得這個問題是比較尷尬一點,因為我相信院長對衛福部等等會比較熟悉。
transcript.whisperx[388].start 11212.483
transcript.whisperx[388].end 11239.574
transcript.whisperx[388].text 就是說呢有時候是解放軍發動了輿論戰的攻擊那他攻擊的對象不是國防部他最近攻擊了海巡嘛他今天攻擊的是衛福部或者攻擊的是我們的農業部製造大量的謠言那這時候就造成一個非常尷尬的狀況因為對方是一個獨裁的國家他的黨陣全部是全部是搓在一起的所以他今天雖然是解放軍發動的攻擊但他今天面對他攻擊的對象是衛福部製造跟衛福部相關的謠言那以這樣的狀況來講
transcript.whisperx[389].start 11240.794
transcript.whisperx[389].end 11263.914
transcript.whisperx[389].text 是因為國防部出來告訴大家這邊有認知作戰還是要衛福部出來來跟大家講說這邊有一個認知作戰我想如果衛福部這邊有能力去分辨的時候呢那衛福部也可以來宣布有這樣的一個認知作戰的疑慮的考量那如果國防部這邊也是透過他們的
transcript.whisperx[390].start 11264.514
transcript.whisperx[390].end 11266.976
transcript.whisperx[390].text 因為以衛福部的角度來講,衛福部對於解放軍的手法說真的一定是沒有國防不了解。
transcript.whisperx[391].start 11281.71
transcript.whisperx[391].end 11310.863
transcript.whisperx[391].text 但是說真的國防部對於比如說像高端啊等等之類的一定也不會那麼的熟悉所以這也是為什麼呢就是我一直都覺得如果我們沒有一個跨部會認真地去面對這一個所謂認知作戰的機制的話會變得非常的危險所以這也是為什麼我在這邊有提到就是我們今天的這個標題叫做這個卓越中心那蔡總統其實在這一個面這個渤海這個三國的時候呢就有講到說因為其他的國家尤其是北約的國家
transcript.whisperx[392].start 11311.423
transcript.whisperx[392].end 11339.774
transcript.whisperx[392].text 他們在面對俄羅斯的混合作戰他可能有外交的可能有國防的可能有民生經濟的攻擊你每一個部會單獨面對就是被各個擊破所以他們希望有一個中心就是卓越中心大家一起去面對這個混合戰然後一起來做分析那蔡總統那時候有提到說台灣應該有一些單位能夠對接那因為台灣目前來講名稱最像的有一個在速發部然後還有像剛剛部長提到的有時候在偵查很多是國安局跟調查局
transcript.whisperx[393].start 11340.174
transcript.whisperx[393].end 11362.031
transcript.whisperx[393].text 但其實國防部裡面還有一個政戰對這個部分其實也是非常的熟悉但你就會發現我們有點散在每一個地方沒有辦法認真的去應對他們有時候這個一個公事可能是三個小時六個小時如果我們沒有辦法馬上去應對的話會形成非常多的困擾所以我們才想說因為現在在520之前不可能馬上突然成立一個中心但是有沒有可能開始可以開啟
transcript.whisperx[394].start 11363.192
transcript.whisperx[394].end 11371.759
transcript.whisperx[394].text 這方面的討論,不管是從部長還是院長,因為畢竟其實我認為政戰還是有非常大的一個能量,如果能夠針對這些事情來討論的話,我們去面對認知作戰的速度應該可能會變得更快。我跟委員報告,委員這想法絕對對的,我們為了國家
transcript.whisperx[395].start 11380.505
transcript.whisperx[395].end 11380.885
transcript.whisperx[395].text ﹚國防部委員﹚
transcript.whisperx[396].start 11409.85
transcript.whisperx[396].end 11416.892
transcript.whisperx[396].text 謝謝陳委員博洋的質詢,也謝謝陳院長的備詢。接下來我們請登記第二位吳委員中線質詢。麻煩請陳院長國防部備詢。
transcript.whisperx[397].start 11434.704
transcript.whisperx[397].end 11446.673
transcript.whisperx[397].text 院長、部長,早安。 院長,您的那個社會流行病學書我拜讀很多次,真的獲益良多,謝謝院長。我在這邊有幾個問題想要請教,就是,院長,
transcript.whisperx[398].start 11453.345
transcript.whisperx[398].end 11480.476
transcript.whisperx[398].text 我們知道就是依據憲法如果總統不能無法事事那就是由副總統代理那如果副總統也不行的話是由院長代理那我想請教一下院長如果我們今天呢執行到一半然後有突然這個國家這個警報簡訊大作那可能是飛彈的空襲警報那在這邊的話院長知道那個防空洞在哪裡嗎
transcript.whisperx[399].start 11482.669
transcript.whisperx[399].end 11508.895
transcript.whisperx[399].text 這裡的防空設施我不太記得,應該看這裡的有地下室的地方。立法院其實是有一些避難設施,比如說在青島會館、議場或中心大樓樓下都有。那我今天為什麼要提這個,因為畢竟兩岸現在比較兵兇戰危,那隨時現在又講求是斬首,他們的那個戰略方式是希望以斬首的方向來減少對平民的傷害。
transcript.whisperx[400].start 11509.522
transcript.whisperx[400].end 11531.698
transcript.whisperx[400].text 所以啊院長在這裡其實我覺得我們也是隨時要有危機的意識那我們也是要知道一下這立法院哪個地方如果再發生一些緊急狀況的時候也能夠有地方可以去躲然後去避難那其實我覺得啦就是因為我自己擔任立委的時間不長但是我覺得這段時間呢我感覺是
transcript.whisperx[401].start 11532.953
transcript.whisperx[401].end 11554.705
transcript.whisperx[401].text 國家狀況好像越來越走向兵凶戰危。昨天CNN也有一個報導,它的大概意思就是說,以前認為台灣是一個最危險的地方,現在變得更危險。當然這個是國外媒體對我們的分析,對或不對我想院長以及部長心理一定都很清楚這整個狀況。
transcript.whisperx[402].start 11556.277
transcript.whisperx[402].end 11581.795
transcript.whisperx[402].text 那我在這邊還是想要奉勸一下就是目前的政府其實引起戰爭的往往都是領袖而不是人民那一個領袖其實最愚蠢的領袖就是把戰爭跟貧窮帶給下一代我想兩位長官一定都在這邊都能夠體會這一句話真正一個領導人能夠做出最愚蠢的事真的就是把戰爭跟貧窮
transcript.whisperx[403].start 11583.772
transcript.whisperx[403].end 11588.337
transcript.whisperx[403].text 請問您知道我們司法法制委員會監督的行政院部會中哪一個部會跟國防部目前那個最密切?
transcript.whisperx[404].start 11602.073
transcript.whisperx[404].end 11606.017
transcript.whisperx[404].text 那我跟那個部長說明一下,其實跟法務部有蠻多的聯繫對吧?尤其是在
transcript.whisperx[405].start 11623.774
transcript.whisperx[405].end 11645.52
transcript.whisperx[405].text 在102年2013年我們這個軍事審判法修正之後到103年也就是2014年其實已經把所有的人還有案件受刑人現在都是交給法務部在處理也就是說現在這個軍事審判已經變成是普通法院或是那個地檢署在處理中
transcript.whisperx[406].start 11648.846
transcript.whisperx[406].end 11662.204
transcript.whisperx[406].text 現在這個狀況呢,軍事法院跟軍事法院檢察署現在大概都是處理一些刑事補償案件而已,就沒有像以前一樣會有一些訴訟啊,軍事法院一些訴訟的案件在進行。那我想
transcript.whisperx[407].start 11664.298
transcript.whisperx[407].end 11689.231
transcript.whisperx[407].text 我想提一個東西就是說在這個狀況下在加重了普通法院這麼多工作量的情況下我們會不會發生一個狀況就是還沒有到戰爭爆發我們的內部就已經出了很多狀況部長您知道就是從今年二月底到現在發生了多少件這個軍人自殺的案件
transcript.whisperx[408].start 11694.565
transcript.whisperx[408].end 11709.57
transcript.whisperx[408].text 二月二十六日到三月七日已經發生了那麼多件那其實這個數字應該算是不低尤其是在2016年的時候國防部當時就有說我們要把
transcript.whisperx[409].start 11710.492
transcript.whisperx[409].end 11725.822
transcript.whisperx[409].text 臨時提案就是不要發生這種治傷案件我們要放成一個重大的施政目標但是近年來這個治傷的案件就不停的攀升我想說部長應該可以很知道這個狀況
transcript.whisperx[410].start 11727.83
transcript.whisperx[410].end 11746.078
transcript.whisperx[410].text 不管發生怎麼樣,發生自殺啦,這種自殺案件,檢方就必須要去介入。就譬如說驗屍啦,或者是說我們去調查一下他到底是自殺還是他殺,或是背後有沒有一些狀況。那其實也無形的就增加了檢方非常多的工作量。
transcript.whisperx[411].start 11746.974
transcript.whisperx[411].end 11767.399
transcript.whisperx[411].text 那部長其實在之前有檢討這個自殺案件一直增加的時候我看到有一個報導就是部長有提到說這個問題是出在有一些人他的壓力抗壓性比較弱我跟部長說其實這個話比較不妥啦因為大家比較希望就是說我們檢討制度出了什麼問題而不是
transcript.whisperx[412].start 11769.384
transcript.whisperx[412].end 11783.705
transcript.whisperx[412].text 說去檢討這個自殺者他的行為哪裡出了狀況。那我想說您當初的這個說法可能全國的心理師、智商師他們可能也不是那麼認同。將來有機會也許是不是說能夠對這句話
transcript.whisperx[413].start 11785.987
transcript.whisperx[413].end 11788.468
transcript.whisperx[413].text 加以說明或是道歉或是收回之類的。
transcript.whisperx[414].start 11807.495
transcript.whisperx[414].end 11807.515
transcript.whisperx[414].text ﹚廣告
transcript.whisperx[415].start 11831.044
transcript.whisperx[415].end 11854.464
transcript.whisperx[415].text 同樣的工作加在不同的人身上他有不同反應就代表什麼每個人抗壓性他個性是有所不同的這的確也是在這個個人因素當中之一環但並沒有完全歸來哎呀他就抗壓性不夠我部長才沒有講過這句話所以這認知狀態加進來吧他引用你這一段好像不得了了這一點人性都沒有
transcript.whisperx[416].start 11855.225
transcript.whisperx[416].end 11865.82
transcript.whisperx[416].text 我們國防部一直強調了照顧官兵一家人沒有講說我認定你就錯現在這種事情發生以後我們公開到什麼地步我第一個
transcript.whisperx[417].start 11866.886
transcript.whisperx[417].end 11870.809
transcript.whisperx[417].text 那我們再來提一下就是說我們剛有秀出有非常光是二月底到現在
transcript.whisperx[418].start 11894.685
transcript.whisperx[418].end 11910.091
transcript.whisperx[418].text 就非常多件嘛那我來提一個就是監察院啊他之前針對那個陸軍第8軍團203旅的班長劉姓夏是自殺的案件裡面他其實有提到我再念給大家聽齁就是近10年國際自殺案件中士官兵戰75%
transcript.whisperx[419].start 11912.582
transcript.whisperx[419].end 11935.448
transcript.whisperx[419].text 這代表國軍基層出了狀況。國防部對於視察、察覺軍官、士官、士兵環境身心狀況轉換的危機評估顯有不足。編制的心理輔導官的編制面對軍中龐大的人數也無法負荷。再來就是說這些有關精神疾病的判斷跟診療應該是要由專業的精神科醫師進行協處。
transcript.whisperx[420].start 11939.895
transcript.whisperx[420].end 11959.778
transcript.whisperx[420].text 那國防部應該要引入這些資源。那部長我想請教一下監察院之前已經有做出這樣的調查的意旨了。那國防部到目前為止為什麼發生智商的這個比例還是頻頻上升?所以這個是當初監察院的報告沒有做好還是國防部沒有落實呢?
transcript.whisperx[421].start 11960.523
transcript.whisperx[421].end 11984.557
transcript.whisperx[421].text 我首先跟委員報告,任何一項士官兵他們出了問題,領導幹部一定要負責,絕對不會脫開他個人的行為,不會。那我剛剛我也跟委員做了說明,這種事情一發生以後,我們會從多方面來考量。監察委員給我們調查結果,我們覺得予以尊重。 的確,國軍有很多地方沒有最好,但我們要不斷地求比較好或更好。
transcript.whisperx[422].start 11985.117
transcript.whisperx[422].end 12008.708
transcript.whisperx[422].text 在這個是我要努力的至於防處方面我們基本上部隊裡面就有三個防線這防線不是一個口號喔他的幹部每天跟他相處在一道旁邊周邊這些人都是每天日夜相處的這些就第一道防線所以我們現在可能欠缺講說他對他關注的這個內容啊或者這個層次可能不夠這種他沒講什麼應該OK啊
transcript.whisperx[423].start 12009.989
transcript.whisperx[423].end 12028.004
transcript.whisperx[423].text 我就跟委員報告前陣子發生的憲兵的事情,那個發生的時候,旁邊的人還跟他打招呼,沒有任何事。部長,因為時間的關係,我想我知道部長的意思。那我想說,有關這個部分,有些系統性上面的問題,還是要麻煩部長能夠多用點力,因為每一個人都是家中的寶貝。
transcript.whisperx[424].start 12028.985
transcript.whisperx[424].end 12047.049
transcript.whisperx[424].text 那他送到部隊的當然是希望說能夠平平安安的把服役服完,希望說部長就這部分能夠再用點心。那再來我們看一下,很多自殺一定是源自於心理壓力,這個院長一定非常非常的清楚。那我們看一下國軍目前第一級這幾個狀況,什麼會符合國軍第一級的情況,這幾個狀況。
transcript.whisperx[425].start 12054.298
transcript.whisperx[425].end 12074.465
transcript.whisperx[425].text 沒有,我沒有講這個符合,我要跟委員剛好說明一下,這個第一集是改變,不是今年這些狀況才改變的。我在161年,有些案件出來以後我就已經調整了。因為國防,這個戰備規定是我國防部的權責,所以我就調了。調了以後為什麼?因為現在的第一集,
transcript.whisperx[426].start 12075.245
transcript.whisperx[426].end 12076.046
transcript.whisperx[426].text 有人無人有時候很難辨識啊 對不對
transcript.whisperx[427].start 12104.784
transcript.whisperx[427].end 12131.346
transcript.whisperx[427].text 因為現在的無人機也很大一台所以我要跟委員報告一下這個程序一定要走完所以我們為什麼打訊號彈要警告要辨識要去確認確認以後再喊話不管透過什麼活動我自己的朋友他在第一線他是跟我說因為這個第一級他們都搞不清楚定義是什麼他們也很怕做了什麼行為之後會不會被當作罪犯
transcript.whisperx[428].start 12131.926
transcript.whisperx[428].end 12156.951
transcript.whisperx[428].text 那到底他的作為符不符合國際法或者是這武裝衝突法的規範,他們都搞不清楚。 所以這一塊也要麻煩部長盡量在教育上面能夠落實,能夠讓第一線的官兵他們心裡不要有那麼大的壓力,因為他們現在的壓力除了軍中一些管教問題之外,他們也很擔心說到底我今天為了國家做了這個反擊動作到底合不合法,這是他們心裡一個很大的壓力。
transcript.whisperx[429].start 12157.932
transcript.whisperx[429].end 12171.058
transcript.whisperx[429].text 那我這邊也是要麻煩部長這塊能夠稍微做一下那再來齁部長從2024年開始我們兵役就要延長為一年了嘛那依照我手中的數據今年會9100人那到4年後會到35000人
transcript.whisperx[430].start 12174.679
transcript.whisperx[430].end 12202.7
transcript.whisperx[430].text 那所以呢這一次這個這個國防部跟法務部有討論到軍人逃亡的這個問題那我們剛剛所提到的現在案子都要有普通法院以及地檢署管轄那將來這個一起延長到一年之後這個我想擔心的就是案件量一定會暴增部長您知不知道現在那個在處理案子的一審檢察官全國多少人知道嗎
transcript.whisperx[431].start 12203.712
transcript.whisperx[431].end 12206.533
transcript.whisperx[431].text 總共到去年底是1065人,這個還包括了公訴檢察官、執行科檢察官,也就是說不是每一個都在辦案子的。
transcript.whisperx[432].start 12219.019
transcript.whisperx[432].end 12238.995
transcript.whisperx[432].text 那在辦案子的檢察官將來要面對疫情延長到一年,到時候人力上面會不會有很大的問題,這個是我很擔心的。所以我希望一件事情就是說,當年我們把軍審判法修改,我們從現在再往當年去看,有點類似頭痛一頭腳痛一腳。
transcript.whisperx[433].start 12240.536
transcript.whisperx[433].end 12261.006
transcript.whisperx[433].text 所以就把整個就丟給普通法院,但是我始終認為制度沒有問題,軍事審判沒有問題,問題是出在人。但是當時就是這樣把他整個就是處理掉了。那我有一個建議就是說,我希望因為現在的檢察官要面對國內的太多
transcript.whisperx[434].start 12261.98
transcript.whisperx[434].end 12269.727
transcript.whisperx[434].text 事案案件像詐欺罪暴徵那警察官都負荷不了了那有關這個軍事的部分是不是也可以嚴密
transcript.whisperx[435].start 12270.865
transcript.whisperx[435].end 12297.294
transcript.whisperx[435].text 看看有沒有可能把一些軍法的一些案件把它轉回去由軍事審判法來去追溯。譬如說像暴行犯上、抗命、洩漏機密或是一些影響社會重大的案件或是像有些酒駕毒品還是由軍事審判去處理不是什麼都丟給基層的檢察官。我跟兩位說明一下
transcript.whisperx[436].start 12298.114
transcript.whisperx[436].end 12312.68
transcript.whisperx[436].text 現在基層第一審的檢察官以及法官其實都受不了因為我自己做過20年檢察官我很清楚現在的案件量不要再講裁判品質了人民不信任司法是剛剛好而已所以
transcript.whisperx[437].start 12313.32
transcript.whisperx[437].end 12333.283
transcript.whisperx[437].text 我們可以研擬一下,看能不能夠把這個轉回去由軍事審判來處理,再麻煩部長能夠處理好。是,我跟委員幾秒鐘我就跟您說出,這案子陸海空軍刑法的修正,跟這個軍人權益的管理的辦法,我們要對決一定理好,而且已經呈到行政院去,院議通過以後會經過大院來審判。
transcript.whisperx[438].start 12334.244
transcript.whisperx[438].end 12343.876
transcript.whisperx[438].text 那再來齁,最後就是說我希望就是我們也可以考量九三軍人節到底要不要來放假,或者是那個第一線戰鬥人員加薪的問題麻煩。謝謝吳委員真心的質詢,也謝謝陳院長的備詢。報告院會,我們上午質詢到此為止。
transcript.whisperx[439].start 12354.161
transcript.whisperx[439].end 12363.887
transcript.whisperx[439].text 本次會議未有委員提出臨時提案,就不進行臨時提案之處理,下午2時30分繼續開會,進行外交及國防組織質詢,現在休息。
transcript.whisperx[440].start 21612.059
transcript.whisperx[440].end 21619.564
transcript.whisperx[440].text 報告委員會,現在我們繼續開會,進行外交及國防之質詢。接下來請徐委員巧心發言、質詢。
transcript.whisperx[441].start 21643.423
transcript.whisperx[441].end 21661.58
transcript.whisperx[441].text 院長好,我想有請我們陳建仁院長以及國防部邱部長。請陳院長國防部備詢。學員午安。午安。那我想先請教一下我們陳院長,最近呢晚上睡得怎麼樣?
transcript.whisperx[442].start 21663.081
transcript.whisperx[442].end 21683.132
transcript.whisperx[442].text 我一向睡眠都很好。謝謝。一向睡眠都很好。我想最近大家都很關心我們的部會首長還有我們院長睡得好不好。主要是因為先前在質詢的過程當中邱國正部長有告訴我們兩岸相當的危險所以他晚上有的時候很煩惱會睡不著那想必這個陳建仁院長沒有這樣子的困擾
transcript.whisperx[443].start 21683.752
transcript.whisperx[443].end 21703.881
transcript.whisperx[443].text 但我們今天要問的是CNN的著名的評論員他的意見他談到了說呢現在台灣已經是世界上最危險的地方現在變得更加危險那所以我們才會很好奇說陳建仁院長怎麼看待目前兩岸的情勢有感覺到CNN的評論員所說的變得更加危險嗎
transcript.whisperx[444].start 21705.744
transcript.whisperx[444].end 21725.761
transcript.whisperx[444].text 在COVID-19的時間曾經訪問過我,我也知道他很關心臺灣的安全,算是朋友。我想他最主要的呼籲就是希望我們臺灣要提高警覺,然後美國跟其他的盟友應該要來協助臺灣做很好的我們臺灣的國防自衛。
transcript.whisperx[445].start 21735.246
transcript.whisperx[445].end 21749.591
transcript.whisperx[445].text 您說得很好但是呢我們想看到的是確實有很多的各種的問題比方說最近有一件呢跟國安有點疑慮相關的事情媒體剛才才披露Google Earth這一波呢台灣西部做了一個圖資的更新
transcript.whisperx[446].start 21750.111
transcript.whisperx[446].end 21778.275
transcript.whisperx[446].text 我們可以看到更新之後那可以看到西側國防部這個過去協調模糊化的高斯軍事建築包含是國防部、空軍司令部、海軍司令部等等都相當的清楚包含整建中的北部龜山愛國者獄被鎮地、獄部屬M1、A2戰車的大崗營區、楊梅飛彈營區、苗栗西湖飛彈基地以及台中清泉崗新建萬建庫等等都在圖資上面可以顯示的相當清楚
transcript.whisperx[447].start 21778.695
transcript.whisperx[447].end 21784.17
transcript.whisperx[447].text 我想問一下部長我們有沒有掌握這個狀況以及後續有沒有要進行任何的處置。
transcript.whisperx[448].start 21786.401
transcript.whisperx[448].end 21813.379
transcript.whisperx[448].text 國防安全是大家很關切課題,像現在科技那麼發達,不管是衛星徵兆等等,這些圖資都很容易顯露出來。但我有一個作為,通常我會跟這些單位,不管是Google這些單位,會有去跟他們做一個協議,有關這個機敏處所,他會把它給遮蓋掉。那目前這個西部圖資的部分我們會跟Google來協調,希望他們能夠隱藏起來保護我們的國防安全嗎?
transcript.whisperx[449].start 21813.959
transcript.whisperx[449].end 21818.361
transcript.whisperx[449].text 除了這個圖資之外呢,這個我們都很關心剛剛院長說得很好,那但是呢我想蘇丹紅的問題到現在還沒有解決,那包含是已經流向軍方了
transcript.whisperx[450].start 21836.607
transcript.whisperx[450].end 21856.25
transcript.whisperx[450].text 老共還沒有打過來,我們先開始擔心國軍的飲食。蘇丹紅議題當時在食安專報的時候就已經延燒了,那時候行政院還講得很大聲說蔡政府任內沒有系統性的食安問題,可現在蘇丹紅的議題都已經流到軍隊裡面了,陸軍的後勤指揮部也有買到了。
transcript.whisperx[451].start 21856.51
transcript.whisperx[451].end 21856.81
transcript.whisperx[451].text 謝謝委員的很好的問題
transcript.whisperx[452].start 21878.183
transcript.whisperx[452].end 21878.903
transcript.whisperx[452].text 一個月內你們自己評估會不會太長?
transcript.whisperx[453].start 21900.754
transcript.whisperx[453].end 21928.83
transcript.whisperx[453].text 我跟委員報告,我們現在為什麼會要繼續再來做這個檢查呢?最主要是因為我們往前推6個月啦。往前推6個月。因為我們從12月開始就有逐批檢查。那我們往前推6個月的這一些,我們都做逐批檢查。所以現在我要求他們要加速的檢查以後,把前6個月的這一些萬一有…可是我們已經談好久了,那前6個月的檢查目前已經完成?
transcript.whisperx[454].start 21929.09
transcript.whisperx[454].end 21953.946
transcript.whisperx[454].text 因為前6個月的這一個部分以前都是抽樣檢查叫抽批的檢查那我們現在要求他一個一個都檢查出來所以如果這樣檢查出來的話可能還是會有漏網之魚但是我跟委員報告因為我們現在已經掌握了這十幾家的這一個同一個家族的這一些公司所以你們會針對這6個月去做調查
transcript.whisperx[455].start 21954.366
transcript.whisperx[455].end 21977.24
transcript.whisperx[455].text 所以我們實際上現在對這幾家就只要有這幾家的產品我們就會提前下架所以我們有把握這個下架的時間可能會更提前那對於近期包含是蘇丹紅他變成是各種不同的產品流入到市面以及軍隊裡面行政院有沒有考慮向國人表達建議好 這個蘇丹紅確實在
transcript.whisperx[456].start 21979.745
transcript.whisperx[456].end 22005.454
transcript.whisperx[456].text 這整個的早期的這個輸入的情況是用逐批的而且我們都是請他退貨而不是銷毀這個我們也發現我們這樣的做法需要有再精進所以我們現在就要求這一個逐批而且非法進口這個非法食品的這個廠商我們已經禁止他再進口那未來在邊境發現有這樣的情形我們也就會銷毀
transcript.whisperx[457].start 22006.874
transcript.whisperx[457].end 22025.133
transcript.whisperx[457].text 那我想問消費者的權益保障部分,院長消費者權益保障的部分,過去使用到蘇丹紅的,那相關的消費者權益保障包含是退貨啊等等的,我們行政院有什麼樣的要求跟處理?有的拿得去他說你沒有發票不讓他退貨?
transcript.whisperx[458].start 22025.894
transcript.whisperx[458].end 22041.307
transcript.whisperx[458].text 我們這個部分會來要求相關的第二層第三層的這一些食品公司都要接受這個相關的退貨如果沒有的話他是有刑責的因為這些他們如果不下架他們是有刑責
transcript.whisperx[459].start 22042.228
transcript.whisperx[459].end 22063.183
transcript.whisperx[459].text 國人跟我們軍方的弟兄表達歉意的這個部分目前行政院不考慮是嗎還是你們我的意思是說請問你們會考慮跟社會外界還有包含我們國人國軍弟兄因為過去整個檢查的過程當中或許不夠嚴謹所產生導致於系統性的蘇丹紅的問題跟國人致歉嗎
transcript.whisperx[460].start 22064.403
transcript.whisperx[460].end 22088.63
transcript.whisperx[460].text 這個部分我們昨天就已經有表示我們在以往的這個對於這些違法廠商的篩檢確實沒有逐批檢查所以我們有所要求精進然後要改進我們確實需要改進院長認為要改進主席我想請那個主席院長我想要請那個外交部長我們先謝謝麻煩請外交部委員謝謝謝謝部長請外交部謝謝
transcript.whisperx[461].start 22098.001
transcript.whisperx[461].end 22124.711
transcript.whisperx[461].text 我想要請問幾個跟臺灣民主基金會相關的問題請問呢這個基金會按照我們的組織人事規章是由誰提名後任命執行長?依照規章的這個規定是由那個執行長是由董事長提名由董事會通過那董事長呢按照過去的慣例是由立法院長來擔任嗎?有沒有像民主基金會瞭解新國會之後新任的董事會什麼時候會召開改選?
transcript.whisperx[462].start 22126.407
transcript.whisperx[462].end 22152.95
transcript.whisperx[462].text 有關於董事會召開的時間我們正在跟那個即將接任董事長的立法院院長正在協商當中。好那再來我們想要問的是台灣民主基金會是接受我們外交部的補助開放政黨按照比例申請的得票比例申請預算那這些申請有沒有相關的規範例如要要求哪一類型的活動才符合補助的原則我們有沒有審核的機制?
transcript.whisperx[463].start 22153.872
transcript.whisperx[463].end 22159.414
transcript.whisperx[463].text 並沒有很仔細的規範,但是各個政黨他們都自己想要展開。 是由各個政黨認為說他們要進行民主外交的這個過程當中。
transcript.whisperx[464].start 22176.713
transcript.whisperx[464].end 22181.656
transcript.whisperx[464].text 以這個為主以這個為主以這個為主那請問這些補助案補助給政黨的案子您有看過嗎?結案報告您在意嗎?以及就你的了解
transcript.whisperx[465].start 22204.829
transcript.whisperx[465].end 22208.694
transcript.whisperx[465].text 政黨向民主基金會申請的補助它是具有國家機密性的嗎?
transcript.whisperx[466].start 22209.707
transcript.whisperx[466].end 22209.947
transcript.whisperx[466].text 我覺得
transcript.whisperx[467].start 22239.71
transcript.whisperx[467].end 22268.436
transcript.whisperx[467].text 如果有國外的人要來臺灣看我們的選舉的狀況關選OK關選OK但是政黨拿這個經費補助其實去掛羊頭賣狗肉去辦選舉活動您認可嗎我覺得這要看那個他的報告的內容要看報告的內容對不對您先記得這句話那如果發生是政黨申請補助然後拿去做競選活動後來才發現這件事情我們有任何機制會追回嗎或是會懲罰嗎
transcript.whisperx[468].start 22270.467
transcript.whisperx[468].end 22282.104
transcript.whisperx[468].text 這個基金會的操作我不是很清楚到目前為止那個基金會是獨立運作的那我們也沒有看到這方面的資料獨立運作但是我們政府的錢不應該被拿去政黨作為選舉之用兩位同意嗎?
transcript.whisperx[469].start 22282.99
transcript.whisperx[469].end 22301.817
transcript.whisperx[469].text 如果說委員有這方面的資料交給我們有這方面的資料我們就現在讓大家來看看這個第一個2023年的國務卿齊建穎核銷補助80萬賴清德當面力邀民進黨國務卿宣誓投入輔選9月投入空戰跟陸戰我們看下一張投影片
transcript.whisperx[470].start 22302.677
transcript.whisperx[470].end 22325.759
transcript.whisperx[470].text 二零二三年青年對話行動和蕭補助一百萬元在新聞上面都直接講是在搶選票鎖定KOL20人超盤搶年輕選票賴清德青年對話行動三月開跑下一張投影片二零二三民主台灣客家峰會和蕭補助62萬元也是新聞下標直接寫搶攻客家選票再下一張
transcript.whisperx[471].start 22326.963
transcript.whisperx[471].end 22342.9
transcript.whisperx[471].text 民主、和平、兵推贏100萬,裡面寫什麼呢?你們直接就講了,這個裡面的直接就講大型營隊兵推贏是要幹嘛呢?復選活動,下一頁。這些都是由執行長核定的對吧?
transcript.whisperx[472].start 22343.752
transcript.whisperx[472].end 22344.573
transcript.whisperx[472].text 如果剛才那幾個案子像那個
transcript.whisperx[473].start 22364.753
transcript.whisperx[473].end 22367.195
transcript.whisperx[473].text 國務卿就是民進黨的青年軍,然後他們來參加活動就是去服選的。
transcript.whisperx[474].start 22381.71
transcript.whisperx[474].end 22384.311
transcript.whisperx[474].text 國務卿不是只不是輔選的團隊,國務卿是一個民進黨的一個團隊,然後是年輕人的團隊,他們有沒有參與輔選?
transcript.whisperx[475].start 22407.199
transcript.whisperx[475].end 22412.405
transcript.whisperx[475].text 院長您覺得我們想要了解他們有沒有濫用我們的補助的公帑去做輔選之事所以我向對方要求提供結案報告您覺得他們應該要提供嗎?
transcript.whisperx[476].start 22430.263
transcript.whisperx[476].end 22449.471
transcript.whisperx[476].text 跟委員報告一下就是民主基金會他是獨立運作的一個當然但是裡面用了公帑如果拿去選舉這就會產生很大的問題所以我們希望了解他有沒有濫用所以我們向你們去調閱了請問可不可以提供結案報告結果我們得到的答案是
transcript.whisperx[477].start 22450.511
transcript.whisperx[477].end 22464.587
transcript.whisperx[477].text 因為各政黨計劃具機敏性,無法提供政黨所送的結案報告。你們覺得這樣合理嗎?如果我們沒有辦法看結案報告,我要怎麼知道他當時送的計劃進來有沒有符合補助要點?
transcript.whisperx[478].start 22465.188
transcript.whisperx[478].end 22469.99
transcript.whisperx[478].text 我剛跟委員報告過民主基金會是一個獨立運作的單位那在今年下半年在審核民主基金會預算的時候那我想這個委員可以提出來
transcript.whisperx[479].start 22491.817
transcript.whisperx[479].end 22492.017
transcript.whisperx[479].text 我想這樣子
transcript.whisperx[480].start 22516.509
transcript.whisperx[480].end 22521.371
transcript.whisperx[480].text 最後我問一下您覺得這樣子的政黨申請補助之後的結案報告他是涉及怎麼樣方面的機敏性不能讓立法委員來做調閱
transcript.whisperx[481].start 22541.252
transcript.whisperx[481].end 22563.857
transcript.whisperx[481].text 這個應該由民主基金會那邊來回答沒有我是問你們覺得沒有那他不提供給我們那我問你們是你們認不認為這有機敏性嗎你們認不認為這涉及所謂的政黨或是國家的機密這是你們的看法這跟他無關吶剛剛跟委員報告那個民主基金會他是一個獨立運作的這個單位我聽過了我聽過了我問的是你覺得那個民主基金會有很多的
transcript.whisperx[482].start 22571.638
transcript.whisperx[482].end 22573.199
transcript.whisperx[482].text 謝謝徐委員巧心的質詢。謝謝陳院長的備詢。接下來我們請登記第4位陳委員永康質詢。
transcript.whisperx[483].start 22605.236
transcript.whisperx[483].end 22634.453
transcript.whisperx[483].text 有請陳院長、邱部長。麻煩請陳院長、國安部備詢。謝謝。陳委員午安。恭喜你當選立法委員。首先我感謝陳院長在本席就職之際贈送衛冕喉舌墨寶以珍,現在掛在辦公室。我回想8年前我在外交部
transcript.whisperx[484].start 22635.083
transcript.whisperx[484].end 22635.363
transcript.whisperx[484].text 本席
transcript.whisperx[485].start 22663.397
transcript.whisperx[485].end 22685.154
transcript.whisperx[485].text 這個軍旅生涯40餘年我也一直在懷抱追求和平的理念奉信以國家安全保衛人民力行國家安全作為終極目標而努力也看到院長近期長期被尋的辛勞我覺得在這個
transcript.whisperx[486].start 22687.454
transcript.whisperx[486].end 22711.64
transcript.whisperx[486].text 質詢過程中間您可以放鬆一些我會提出一些建言跟討論請您做參考因為本席的目前專注於國防外交事務的監督審查就議案全責他與性質的覺知融合國防外交作為國家安全的信念我們希望把這個信念
transcript.whisperx[487].start 22713.441
transcript.whisperx[487].end 22716.209
transcript.whisperx[487].text 與價值觀用一個示儀的方法來討論付諸實踐。那麼在
transcript.whisperx[488].start 22719.946
transcript.whisperx[488].end 22743.878
transcript.whisperx[488].text 今年的2月14日的荊下水道發生三無漁船,因為海巡署的船艇在執法過程、追逐過程以及漁船的迴避過程,原來是企圖攔截、臨檢、登船,但是因為他做迴避,因此產生擦撞、翻船,最後產生兩位不幸犧牲漁民的結果。
transcript.whisperx[489].start 22745.668
transcript.whisperx[489].end 22765.846
transcript.whisperx[489].text 這個過程目前都在西部調查,我們不做這個預測也不做論述,但是各位你現在所看到的這個圖表就是我們花了很多的精神把這個整個的過程中間所有引述的法案以及它的背景資料
transcript.whisperx[490].start 22766.96
transcript.whisperx[490].end 22786.002
transcript.whisperx[490].text 那麼做出一個流程事實上我們用現在的科技已經幫他整合成一個資料庫所以希望未來的每一個單位並不是只是引述81年7月31日公布的兩岸條例那麼引述的第29條第32條
transcript.whisperx[491].start 22788.91
transcript.whisperx[491].end 22806.238
transcript.whisperx[491].text 實際上在這個裡面我們總共列選了14項,並不包括1982年聯合國海洋法公約裡面所謂從3海里提升到12海里的領海基線以及每一個國家的領海權它的這個範圍。
transcript.whisperx[492].start 22808.106
transcript.whisperx[492].end 22823.659
transcript.whisperx[492].text 但是基於這個流程中間有過去動員勘亂法的這個終止那麼也有戰地政務的取消也有人民條例的增設修正所以它實際上是一環扣一環
transcript.whisperx[493].start 22824.6
transcript.whisperx[493].end 22851.508
transcript.whisperx[493].text 那麼過去我們的一般的這個政府的機制啊在回答問題的時候都是針對單獨一下引述某一個條例那麼我們現在做出這個流程過來未來結合資料庫所有的法案就掛在下面那麼在跨部會協調甚至解釋的時候可以做一個更清楚的論述就不至於產生部分的疏漏
transcript.whisperx[494].start 22851.988
transcript.whisperx[494].end 22852.008
transcript.whisperx[494].text ﹚廣告﹚
transcript.whisperx[495].start 22867.403
transcript.whisperx[495].end 22896.482
transcript.whisperx[495].text 那麼一、據國家安全法實例第25條啊﹖所謂的海岸管制區是由國防部會同內政部根據海防實務的需要就台灣地區海岸的海水低潮線以其高潮線算起500公尺以內以及近岸沙洲來劃定之但是這個文字實際上是非常的複雜那麼我們的海圖啊所有的校正是由海軍的大氣海洋局來執行
transcript.whisperx[496].start 22897.363
transcript.whisperx[496].end 22919.974
transcript.whisperx[496].text ﹚議員﹚
transcript.whisperx[497].start 22919.974
transcript.whisperx[497].end 22920.274
transcript.whisperx[497].text ﹚第11屆第1會期第4次會議
transcript.whisperx[498].start 22938.251
transcript.whisperx[498].end 22938.291
transcript.whisperx[498].text :第11屆第1會議
transcript.whisperx[499].start 22955.316
transcript.whisperx[499].end 22955.336
transcript.whisperx[499].text ﹚廣告
transcript.whisperx[500].start 22970.486
transcript.whisperx[500].end 22991.561
transcript.whisperx[500].text ﹚議員﹚
transcript.whisperx[501].start 22992.236
transcript.whisperx[501].end 22992.796
transcript.whisperx[501].text 司法部長
transcript.whisperx[502].start 23019.002
transcript.whisperx[502].end 23019.202
transcript.whisperx[502].text 委員.完整會議
transcript.whisperx[503].start 23039.987
transcript.whisperx[503].end 23040.307
transcript.whisperx[503].text 所跟委員報告
transcript.whisperx[504].start 23070.845
transcript.whisperx[504].end 23095.738
transcript.whisperx[504].text 他是共同圖像是我們軍中很注重的因為這個我共同圖像運用啊就包含了陸海空三軍就同樣的狀況在這種共同圖像上看到的話是同樣的一個地點的不過有這種錯遙那現在要把這個各部位融在一道這是一個很好的一個做法因為畢竟我們這個國家安全啊不光是國防部單獨的責任
transcript.whisperx[505].start 23096.998
transcript.whisperx[505].end 23112.407
transcript.whisperx[505].text 我也不把這個時間推給其他人,但最起碼各部會之間相互協調合作,共同來維護我們國家安全,這需要一個共通的點,而這個點也就當中也包含了共同圖像,也是一個很重要的東西。
transcript.whisperx[506].start 23113.027
transcript.whisperx[506].end 23140.844
transcript.whisperx[506].text 我們會按照這個狀況會跟各部會我們會建議不管是國安會或者院裡面我會建議要召開一個必要的一個協調會怎麼樣把我們國軍目前有的共同圖像的做法既然能夠保密又能夠運用很廣泛這個我覺得是將來很努力的要努力的一個方向但我們很樂見也期望可以達到國家安全大家共同維護的這個境地
transcript.whisperx[507].start 23142.621
transcript.whisperx[507].end 23160.837
transcript.whisperx[507].text 謝謝委員真的很認真我學習了學了很多真的很感動也特別感謝邱部長在這上面的大力支持因為我了解我們現在目前的政府並沒有一個完整的國家安全戰略雖然
transcript.whisperx[508].start 23162.619
transcript.whisperx[508].end 23170.824
transcript.whisperx[508].text 美國在這個國家安全戰略上,每任總統就職都會提出。日本在2013年也提出了他的國家安全戰略,就是法治化。
transcript.whisperx[509].start 23182.951
transcript.whisperx[509].end 23207.582
transcript.whisperx[509].text 我特別在這邊向各位解釋一下這個發展的流程是經過怎麼樣的路徑怎麼樣來收斂首先我們是要看全球環境影響力跟趨勢它包括了區域的威脅有盟的變質國際組織國際法律資訊安全氣候變遷能源短缺
transcript.whisperx[510].start 23209.062
transcript.whisperx[510].end 23210.804
transcript.whisperx[510].text 國內影響勢力趨勢包括經濟情況
transcript.whisperx[511].start 23226.718
transcript.whisperx[511].end 23246.689
transcript.whisperx[511].text 社會的需求我們官僚體系的結構政黨的形態資訊的安全能源的需求媒體輿論宗教文化人口結構環境保護國會的結構這兩個匯集起來通通影響我們國家安全戰略的制定
transcript.whisperx[512].start 23247.609
transcript.whisperx[512].end 23276.781
transcript.whisperx[512].text 但是因為沒有國家安全戰略的制定所以行政院在橫向協商有關執法單位有關國防單位甚至海圖甚至領港甚至是航圖那這個都是各司其職但是呢就像剛才邱部長講的並沒有能夠融合變成統一就是說大家有一個共同基準的概念在一個相同的
transcript.whisperx[513].start 23278.479
transcript.whisperx[513].end 23278.499
transcript.whisperx[513].text ﹚廣告
transcript.whisperx[514].start 23295.518
transcript.whisperx[514].end 23311.445
transcript.whisperx[514].text 但是經濟政策、能源政策、資安政策、人口政策,它整個這個氣象融合起來會形塑國家安全戰略,它的目的是促進繁榮、確保民主、強化安全。
transcript.whisperx[515].start 23312.125
transcript.whisperx[515].end 23341.033
transcript.whisperx[515].text 因此在現階段在下任府接替之前那麼本席期許院長能夠朝這邊共同努力先朝這個方向推動那麼我把國家安全戰略它的一個施行方法在這邊向大家做一個說明跟報告我們現在因為沒有國家安全戰略所以在現況上產生了什麼呢就是跨部會在資源分配不均
transcript.whisperx[516].start 23343.235
transcript.whisperx[516].end 23370.307
transcript.whisperx[516].text 協商比較困難策略執行不太容易法制不夠周全政策不容易同步那麼同時難以持續因為換這個官員換幕僚他沒有一個上級政策的指導很多東西就做了調整那麼我們預期的目標國家安全戰略的目標就是確保國家安全與兩岸的和平穩定
transcript.whisperx[517].start 23371.84
transcript.whisperx[517].end 23392.367
transcript.whisperx[517].text 那麼我們如果制定國家安全戰略我們的行動重心在政治面是趨利避害在和平對等的前提下堅守民主自由的體制在經濟上是國際上也是互利互補在公平正義的條件下促進經貿與投資的成長在軍事上要強軍勝戰
transcript.whisperx[518].start 23398.018
transcript.whisperx[518].end 23413.856
transcript.whisperx[518].text 也是備戰、能戰、止戰在國家安全的前提下控管風險解決爭端在社會上我們要鄰居共識在國防民生合一的前提下強固基建堅韌的民心
transcript.whisperx[519].start 23416.294
transcript.whisperx[519].end 23438.633
transcript.whisperx[519].text 那麼在這個執行的這個手段上面第一個是可承擔的前提下也就是說我們政府的複合下反映民眾的意志與決心跨部會協調這裡面還包括國際友邦及軍事這個友好同盟的關係打造我們國家和平發展的環境
transcript.whisperx[520].start 23439.997
transcript.whisperx[520].end 23459.373
transcript.whisperx[520].text 那麼在可適用的前提下,平息當前與過去決策的落差,確認與國家安全有關的法案,組織與資源不足的地方以及相關的限制因素。我們目前有國家安全法,裡面的細則都有對國內的要求。
transcript.whisperx[521].start 23460.114
transcript.whisperx[521].end 23477.584
transcript.whisperx[521].text 但是對於我們自己部會之間協調合作分攤的責任沒有明確的制定所以最後是在可信待前提下要設定預期的目標以及可資助的能力包括量能這個權責
transcript.whisperx[522].start 23480.145
transcript.whisperx[522].end 23497.927
transcript.whisperx[522].text ﹚議員
transcript.whisperx[523].start 23497.987
transcript.whisperx[523].end 23526.562
transcript.whisperx[523].text 透過院長的指導在橫向協調上給予各部會的資源也就是說責任的分攤跟有限的資源分配以及反映的時間它都是有極限的因此如果沒有一個完整的概念在協調過程中國際情勢、國內情勢、兩岸情勢它產生的變化有的時候我們的決策是跟不上所以這一點是需要大家共同的努力
transcript.whisperx[524].start 23527.472
transcript.whisperx[524].end 23548.385
transcript.whisperx[524].text 那麼最後面一頁我顯示一個共同圖像這張圖各位可以看到包含東北亞朝鮮半島東海日本防空識別區台海防空識別區還有中國大陸在2013年11月23日他發布的東海防空識別區
transcript.whisperx[525].start 23550.505
transcript.whisperx[525].end 23566.885
transcript.whisperx[525].text 中國大陸是國際民航組織的成員,所以他把這個防空識別區在國際的航圖上已經標註上去了。我們也希望國防部未來把這個東海防空識別區也能夠標註上去。
transcript.whisperx[526].start 23567.671
transcript.whisperx[526].end 23567.691
transcript.whisperx[526].text ﹚廣告
transcript.whisperx[527].start 23585.555
transcript.whisperx[527].end 23615.555
transcript.whisperx[527].text
transcript.whisperx[528].start 23616.135
transcript.whisperx[528].end 23633.048
transcript.whisperx[528].text 因此很多的定義要在這個法條裡面做略為說明我們前一陣子大家國內都關心503航線其實503是個航路它是有一定的寬度飛機南下北上它有一定的距離
transcript.whisperx[529].start 23633.969
transcript.whisperx[529].end 23633.989
transcript.whisperx[529].text ﹚廣告
transcript.whisperx[530].start 23660.026
transcript.whisperx[530].end 23660.146
transcript.whisperx[530].text ﹚第11屆第4次會議
transcript.whisperx[531].start 23684.819
transcript.whisperx[531].end 23704.909
transcript.whisperx[531].text 黃岩島,我們又新做民主礁。最近並沒有看到我們政府在這上面表達我們的政策跟我們的立場。那麼尤其是在南邊的所謂的人愛礁,現在中共跟菲律賓這個衝突算是蠻大的。但是中國大陸現在就是運用灰色區塊。
transcript.whisperx[532].start 23706.01
transcript.whisperx[532].end 23733.052
transcript.whisperx[532].text 他用他的海上民兵以及他的所謂海上警察其實他的海警就是coast guard問題是他的海警並不是在一般的政策像政府像屬於非軍事單位他是屬於中央軍委會所以他利用灰色區塊消耗鄰近國家的有限的這個力量那這個是值得我們要注意的
transcript.whisperx[533].start 23734.192
transcript.whisperx[533].end 23748.037
transcript.whisperx[533].text 由於這個圖塊在下一步各位看到我們的所有的國家安全是先由社會的堅韌、民心的安定、經濟的繁榮
transcript.whisperx[534].start 23749.224
transcript.whisperx[534].end 23768.746
transcript.whisperx[534].text
transcript.whisperx[535].start 23769.175
transcript.whisperx[535].end 23769.235
transcript.whisperx[535].text 臨時提案會議
transcript.whisperx[536].start 23794.002
transcript.whisperx[536].end 23794.282
transcript.whisperx[536].text 謝謝委員 這個很完整而且很宏觀
transcript.whisperx[537].start 23818.144
transcript.whisperx[537].end 23842.385
transcript.whisperx[537].text 嚴密的這樣的一個說明國家這個安全體系我覺得很學習很多那從這裡我也完全同意實際上一個國家的安定除了軍事的外交的兩岸的以外還要有社會的經濟的這個我完全同意那目前在國家安全的這個體制上是有國安會在做通盤的這個整合
transcript.whisperx[538].start 23842.845
transcript.whisperx[538].end 23867.079
transcript.whisperx[538].text 但是行政院這邊也會來認真的參考委員所提的這些意見而且我們也會請同仁在國家安全體系的這個相關會議上把這麼好的很這個宏觀而且很細緻的這個建議在這個會議上討論那站在行政院的立場在還沒有這樣討論之前我們也會讓
transcript.whisperx[539].start 23867.899
transcript.whisperx[539].end 23868.219
transcript.whisperx[539].text 請部長簡單說明一下
transcript.whisperx[540].start 23881.215
transcript.whisperx[540].end 23906.462
transcript.whisperx[540].text 報告委員,剛才那個委員講得很精闢,事實上我在這邊聽了以後歸納成兩個重點。第一個沒有錯,我們按照我們的大戰略延續下來講的話,一定要有國家戰略,才有軍事戰略,這下面一環。而軍事戰略又分成一個略速鬥技具,作戰區等等。我跟你講我們講的軍事術語一般人很難去了解,但我簡單的講,
transcript.whisperx[541].start 23907.682
transcript.whisperx[541].end 23923.862
transcript.whisperx[541].text 我們大學裡有一句話,物有本末,事有終始,之所先後則盡道矣。 有大戰略,國家戰略是大的,是主,然後它是先,要先有了以後,後續延伸出來。 所以我們現在目前聽來好像
transcript.whisperx[542].start 23925.223
transcript.whisperx[542].end 23948.582
transcript.whisperx[542].text 還沒有一個投出來,事實上我們國家在國防政策或國家安全方面都有一個很清楚的敘述,就為了要防衛國家安全。要在軍事方面的話,我跟委員報告,我也相信講說我們略出鬥技具的概念,戰略、戰鬥、然後這個戰技、戰具等等,它由上向下是一個指導的。
transcript.whisperx[543].start 23949.443
transcript.whisperx[543].end 23978.36
transcript.whisperx[543].text 要有這個戰略才會有戰術要有戰術才會有戰鬥但由下往上的是支持你想你沒有一個好的一個戰距你的戰績沒辦法發揮所以這個關係也很清楚但是概念有了以後所以跟各部會是今天協調我們一定會做一個我們該做哪一部分貴部應該要強調強化哪一個方面我想這樣的話可以把這個目標定的很明確各部會作業起來也很明快第一個
transcript.whisperx[544].start 23979
transcript.whisperx[544].end 24000.715
transcript.whisperx[544].text 第二、剛剛委員講了很多句共同圖像,尤其東海防空識別區沒有錯,它都有一個來龍才會有這個去脈的。 那我們目前國軍在這個每個圖上面,東海識別區防空識別區有話傳,因為話傳我們才發覺,它跟日本跟韓國會有一些啊,可以重疊甚而是一行,就可以貼到的。
transcript.whisperx[545].start 24001.155
transcript.whisperx[545].end 24024.741
transcript.whisperx[545].text 所以以至於造成東北亞跟東海這個地方甚至於西太平洋方面會有很多這個啊這個看格就這個原因那這要透過一個國際管道跟我們平常啊各部會這個努力大家共同圖像有了認知有了意念一致了國家以後作業相互啊要合作項目等等就很就很快明確我這跟委員處說明
transcript.whisperx[546].start 24026.657
transcript.whisperx[546].end 24053.574
transcript.whisperx[546].text 最近美國蘭德公司2024發布的那個威脅, 裡面特別強調了一個共同圖像,COP,Common Operational Picture。那麼今天早晨本黨陳玉珍委員在問政提到金下水稻的時候也講到要有一個清晰的苗籍跟法條的引述。我想經由這個院長剛才的陳述以及邱部長的解釋,
transcript.whisperx[547].start 24054.474
transcript.whisperx[547].end 24076.467
transcript.whisperx[547].text 我們今後在跨部會的協商、橫向協調上一定可以做得更為精進。那麼也感謝今天兩位給我的回應。我想我們共同努力,因為國家安全是需要整合全國的民心。在有限的資源、有限的時間反應下,我們要做出適當的決策。
transcript.whisperx[548].start 24079.568
transcript.whisperx[548].end 24104.035
transcript.whisperx[548].text 時間有限,資源有限,大家共同努力。 也感謝兩位的回答,謝謝。謝謝陳委員永康的質詢。 也謝謝陳院長的悲訓。報告委員會,外交及國防組織,喔對不起,下面一位是第5號楊耀委員,他改以書面提出。
transcript.whisperx[549].start 24105.465
transcript.whisperx[549].end 24119.461
transcript.whisperx[549].text 請行政院書面答覆並列入記錄刊登公報。報告委員會外交及國防組織質詢已詢答完畢。我們現在休息10分鐘。休息之後我們進行經濟組織質詢。現在休息。
transcript.whisperx[550].start 24729.207
transcript.whisperx[550].end 24743.326
transcript.whisperx[550].text 報告委員會現在繼續開會進行經紀組之質詢。陳委員、俊宇之質詢以書面提出。請行政院以書面答覆並列入記錄刊登公報。現在我們請邱委員、鄭君質詢。
transcript.whisperx[551].start 24765.612
transcript.whisperx[551].end 24768.874
transcript.whisperx[551].text 我們有請我們陳院長麻煩請陳院長備選邱委員王恭喜你當選立委謝謝我想請問陳院長你知道我是哪裡的立法委員嗎苗栗苗栗謝謝院長你當過苗栗市市長嘛你對苗栗很有貢獻謝謝當然我們是出生於地方
transcript.whisperx[552].start 24794.315
transcript.whisperx[552].end 24819.264
transcript.whisperx[552].text 有一些問題當然在這邊就請教我們院長那麼我們對於這個桃竹苗大細股的一個方案我想我們非常的關心那麼當然我看起來目前現在這個計畫是一個雛形那必須還有很多的這個計畫來支撐那麼我想請教院長什麼時候我們才會有一個具體的一個時程
transcript.whisperx[553].start 24820.82
transcript.whisperx[553].end 24822.641
transcript.whisperx[553].text 我順便問一下國發會,我看到今年編列了200億的預算
transcript.whisperx[554].start 24848.692
transcript.whisperx[554].end 24860.339
transcript.whisperx[554].text 兩百億的預算那我想我們具體的部分是哪些?這兩百億是用在哪裡?您是說苗栗的部分是不是?不是,就是整個桃竹苗大細股計畫
transcript.whisperx[555].start 24861.654
transcript.whisperx[555].end 24882.825
transcript.whisperx[555].text 他不只200億啦,他是整個現在的大方案他是一個上位計畫那下面有各個各部位他要執行的一些相關計畫跟預算那比如說交通的部分他有一些交通納到這裡面來以後那我們就是要管考他的一些相關進度啦那比如說他有一些已經綜合規劃已經過了
transcript.whisperx[556].start 24885.171
transcript.whisperx[556].end 24887.032
transcript.whisperx[556].text 我看到我們苗栗的產業園區規劃是145公頃是吧?
transcript.whisperx[557].start 24887.032
transcript.whisperx[557].end 24889.634
transcript.whisperx[557].text 是我想院長新竹跟桃園是多少比例是多少?
transcript.whisperx[558].start 24916.597
transcript.whisperx[558].end 24942.169
transcript.whisperx[558].text 以目前來講因為現在就是說是這樣就是說我們園區的不管是科學園區或產業園區基本上是採取滾動式的部分那看有產業上的需求第二個是地方政府他如果盤點出來準備好了我們目前苗栗縣我們提出了這個我們大概預估有900公頃的這個產業用地那我看到我們總共的比例是1200公頃
transcript.whisperx[559].start 24943.69
transcript.whisperx[559].end 24966.48
transcript.whisperx[559].text 苗栗市苗栗縣只有145公頃,那我在這邊也希望我們的院長能夠在這個部分多加斟酌考量,讓我們苗栗能夠這個900公頃的土地能夠更有效的來運用。後續會跟苗栗縣政府比較積極的溝通,看看哪一個部分他真的準備好了。
transcript.whisperx[560].start 24966.92
transcript.whisperx[560].end 24967.781
transcript.whisperx[560].text 我希望我們行政院這邊能夠盡快因為
transcript.whisperx[561].start 24996.798
transcript.whisperx[561].end 24996.818
transcript.whisperx[561].text 委員長
transcript.whisperx[562].start 25013.642
transcript.whisperx[562].end 25029.749
transcript.whisperx[562].text 國發會我們這邊來協助希望我們苗栗能夠規劃更多的這樣一個土地讓我們一些產業能夠進駐來帶動苗栗的經濟好不好委員提到了後龍因為過去來講縣政府他有抱鞭想要做成這個產業園區嘛那當然
transcript.whisperx[563].start 25031.738
transcript.whisperx[563].end 25039.023
transcript.whisperx[563].text 您剛剛講到這個交通的部分,那現在交通的部分您怎麼處理?尤其是第二交流道還有我們這個楊梅道都有納入計畫嗎?
transcript.whisperx[564].start 25059.874
transcript.whisperx[564].end 25064.359
transcript.whisperx[564].text 委員在check的時候我跟委員報告一下實際上在這個桃竹苗大矽谷計畫的過程當中我們很希望
transcript.whisperx[565].start 25080.333
transcript.whisperx[565].end 25090.555
transcript.whisperx[565].text ﹚議員
transcript.whisperx[566].start 25090.939
transcript.whisperx[566].end 25091.339
transcript.whisperx[566].text 我再請問我們的72縣接61縣
transcript.whisperx[567].start 25115.769
transcript.whisperx[567].end 25116.409
transcript.whisperx[567].text 因為今天我們交通
transcript.whisperx[568].start 25144.488
transcript.whisperx[568].end 25166.811
transcript.whisperx[568].text 交通部長沒有來不過在這一個所有的整個大細股計畫當中我們當時的規劃當中就是有橫向的還有縱向的是變成一個網路那細節的部分也許在我們再請交通部長因為我看到我們整個計畫不論是在桃園或者是新竹
transcript.whisperx[569].start 25167.612
transcript.whisperx[569].end 25169.213
transcript.whisperx[569].text 我跟您報告就是說當時在整個規劃當中包括賴副總統的想法是
transcript.whisperx[570].start 25190.663
transcript.whisperx[570].end 25195.626
transcript.whisperx[570].text 因為這樣目前我們看到的計畫當然都是集中在竹南頭份那對於苗栗縣整個來講那苗南的地方我也希望院長這邊能夠一併的考量進去苗南的發展也相關的重要因為南邊我們還有一個這個銅鑼科學園區
transcript.whisperx[571].start 25216.937
transcript.whisperx[571].end 25222.323
transcript.whisperx[571].text 我剛才提到互相支援,像鯉魚潭的水也是從南部送到苗栗去,所以互相的有支援可以讓地方一定夠。
transcript.whisperx[572].start 25238.537
transcript.whisperx[572].end 25258.868
transcript.whisperx[572].text 不要虧待苗栗啦好不好,因為苗栗真的是為地方,苗栗有5個水庫,其實他限制非常多,發展也非常的困難。那我希望我們的院長還有我們的國會這邊能夠一併的來考量。謝謝。那另外我們第二個,第二題我們請我們的王美花部長。請經濟部備刑。
transcript.whisperx[573].start 25267.444
transcript.whisperx[573].end 25281.083
transcript.whisperx[573].text 部長好,我今天看到新聞有點名,我們事務發部的部長唐鳳,交通部我們的王國才,經濟部長王美花,以及前農業部長陳吉仲。
transcript.whisperx[574].start 25283.769
transcript.whisperx[574].end 25284.75
transcript.whisperx[574].text 我每天就是努力把事情做好。
transcript.whisperx[575].start 25303.959
transcript.whisperx[575].end 25333.066
transcript.whisperx[575].text 那我想對我來說對台灣怎麼樣台灣的經濟做得更有韌性讓台灣在全世界越來越重要這個是我一直在思考的問題希望部長認真認真一點來執行所有的這個業務那當然不要變成我們賴清德總統的這個絆腳石可以嗎他不會啦他是最好的幫手啦可是在我本席看來我們看到4月份店家要調漲
transcript.whisperx[576].start 25334.593
transcript.whisperx[576].end 25338.37
transcript.whisperx[576].text 那我覺得部長是覺得這個破口不夠大還是怎麼樣?
transcript.whisperx[577].start 25339.341
transcript.whisperx[577].end 25362.448
transcript.whisperx[577].text 事實上一直以來這個國際的燃料成本的大幅上漲確實是造成台電的虧損那事實上在過去這一兩年台電已經吸收了非常多的一個成本現在主要就是說這樣的一個每一年我們當然優先都爭取政府的這個資金跟補助我看到了我也知道我們台電現在目前虧損是94%了
transcript.whisperx[578].start 25371.152
transcript.whisperx[578].end 25386.863
transcript.whisperx[578].text 那我看到我們這一次調升這個是330度以下的民生用電部分那我有推算過120度以下用電調漲那每個月大概是9塊錢那382萬戶我換算一下來一年多收了4億那121度到330度
transcript.whisperx[579].start 25391.156
transcript.whisperx[579].end 25397.562
transcript.whisperx[579].text 這個用戶我們一樣調整了5%全台灣有526萬戶一年多收21.5億也就是說我們這一波調整電價大概是能夠為台電多收25億是這樣吧
transcript.whisperx[580].start 25407.493
transcript.whisperx[580].end 25433.391
transcript.whisperx[580].text 所有的這個電價怎麼調漲的公式目前都在電價小組裡面工作區還在討論當中因為我算到這個數字不是很多我們為什麼要去做這件事情我就覺得很奇怪那相對於一些用電的大戶比如說一些我們高壓那個特高壓用電的一些大戶這些我們應該要針對這個部分或者我們以前
transcript.whisperx[581].start 25434.937
transcript.whisperx[581].end 25443.578
transcript.whisperx[581].text 這個台電我們去年在花了900億來購買綠電這個部分你如果電價這邊部分來節省一點是不是更有效果
transcript.whisperx[582].start 25444.477
transcript.whisperx[582].end 25450.741
transcript.whisperx[582].text 綠電的部分事實上現在已經逐漸的那個綠電原來賺購讓台電來賺購的部分目前其實已經都會讓他綠電直接賣給這個用戶因為臺灣的這個大用戶也需要綠電所以這個趨勢呢我們把綠電的產業做起來綠電的環境做起來但是之後就會慢慢去直接賣給這個企業不用由台電來收購來賺購那所以這個是綠電發展過程當一定要的
transcript.whisperx[583].start 25474.5
transcript.whisperx[583].end 25476.841
transcript.whisperx[583].text 委員這個我來回答一下可以嗎?基本上我們這一次的電價調整當然要看電價審議委員會來做
transcript.whisperx[584].start 25503.53
transcript.whisperx[584].end 25514.566
transcript.whisperx[584].text 那是呢我們也會給他提供一些意見那這個意見呢就是我們做很精緻的調整比如說這個產業呢在發達的過程當中那我們可能的加的都會比較多一點啊如果這個產業呢
transcript.whisperx[585].start 25515.658
transcript.whisperx[585].end 25542.499
transcript.whisperx[585].text 目前還在蕭條的情況下就會加的少一點那民間的用電也是按照他的用電量會來做很精細的調整那以往在2022年2023年的時候我們調整8%11%的時候也都是用這樣很精緻的調整所以當時呢確實是物價的影響會下降啦我們現在很重點不是在於漲不漲電價這個事情其實我們更關心的是通膨的問題
transcript.whisperx[586].start 25543.52
transcript.whisperx[586].end 25564.259
transcript.whisperx[586].text 你知道漲一度電會增加多少通貨嗎?所以我們才會盡量的讓這個電價的調整不要像國外,國外都是一次就漲足然後政府再補貼那個漲足其實這是以前我覺得是民進黨執政以來一開始就開始動漲了對不對
transcript.whisperx[587].start 25567.176
transcript.whisperx[587].end 25570.039
transcript.whisperx[587].text 我跟委員報告一下為什麼現在後面這一段時間才調就是二、五戰爭以後全球的染料價錢大量的增加那這個大量增加才造成了台電3800億的這個
transcript.whisperx[588].start 25590.64
transcript.whisperx[588].end 25608.933
transcript.whisperx[588].text ﹚議員﹚
transcript.whisperx[589].start 25609.013
transcript.whisperx[589].end 25609.253
transcript.whisperx[589].text 現在還是要讓沈議員會來討論
transcript.whisperx[590].start 25630.17
transcript.whisperx[590].end 25657.806
transcript.whisperx[590].text 你盡快來準備好不好然後好的時候給本席資料不過委員您關心的這個不要引起通膨的問題然後呢一定要來幫助這個比較弱勢的這一些我們都會請這個審議委員會來考慮啦那我這樣講啦齁你把資料做好然後再給我好不好是不要像這次蘇丹紅的事情一樣出了事情再來解決我想這個是非常不負責任的齁
transcript.whisperx[591].start 25659.315
transcript.whisperx[591].end 25679.843
transcript.whisperx[591].text 當然我們也有懷疑,其實這是漲電價,當然我們陳院長算是看守內閣,那是不是在520之前我們要幫新政府排除路障,然後背鍋,然後下台,是不是有這個政治的考量?沒有。
transcript.whisperx[592].start 25690.281
transcript.whisperx[592].end 25718.008
transcript.whisperx[592].text 謝謝秋原政軍的質詢,也謝謝陳院長的備詢。麻煩請行政部門秋原所索取的資料進赴秋原辦公室。接下來我們請登記第三位蘇委員清泉質詢。謝謝主席,我們請院長。
transcript.whisperx[593].start 25718.715
transcript.whisperx[593].end 25719.696
transcript.whisperx[593].text 麻煩再請陳院長備選主委我好高興你當選立委好幸好看到你在這裡這個是新科的老兵來院長你現在
transcript.whisperx[594].start 25737.503
transcript.whisperx[594].end 25752.249
transcript.whisperx[594].text 我要請你講一講你對你的內閣的表現,你感覺如何?我感覺我都不敢跟你拍分手啦,但是我的內閣、我的同仁大家都很認真、很努力也過去,你看到我們的經濟成長也好,還是防疫的工作也好,還是農業的發展也好,委員你也很清楚,都有進步
transcript.whisperx[595].start 25766.983
transcript.whisperx[595].end 25781.555
transcript.whisperx[595].text 所以我覺得比較實施大家都在做福國利民的事情,我很感謝他們。這樣啦,今天你每天都報很多,我們經濟部剛才我們的部長有講,但是有缺的問題,再來農的問題,我們的數位部,我們塘鳳網路作戰的問題,還有我們農業部,有很多問題,我們屏東都是農業縣,包括八十多個,
transcript.whisperx[596].start 25797.401
transcript.whisperx[596].end 25820.387
transcript.whisperx[596].text 一、禁止使用、開放萊豬,然後還有一些是斑斑吃食斑,我現在等著不講吃斑,要票票,然後雞蛋的問題,我們交通部違規祭典的問題,不敢大家叫,所以這都是小破口、大破口,這件事就講極了,所以
transcript.whisperx[597].start 25823.168
transcript.whisperx[597].end 25823.248
transcript.whisperx[597].text 主席
transcript.whisperx[598].start 25842.921
transcript.whisperx[598].end 25842.941
transcript.whisperx[598].text 農業部長
transcript.whisperx[599].start 25867.85
transcript.whisperx[599].end 25896.244
transcript.whisperx[599].text 委員好你有沒有認同陳其中給你帶了很多很多的麻煩我想我們陳前部長本身在過去這七八年來其實他做了非常多過去三四十年來沒做的一些農業政策的一個改革好我現在開始講我們的屏東縣我們屏東縣的我們全台灣的農業人口包括農業漁業加起來差不多八十萬將近八十一萬
transcript.whisperx[600].start 25897.591
transcript.whisperx[600].end 25908.214
transcript.whisperx[600].text 平東縣就佔了38萬,所以農業、漁業、養殖等等對平東縣來講是很重的,重中之重。我們的總統就是,現在總統就是我們平東榜首的人,但是我不覺得你們照顧我們平東的農機民,沒什麼在照顧。
transcript.whisperx[601].start 25916.63
transcript.whisperx[601].end 25916.77
transcript.whisperx[601].text 我...我...我...
transcript.whisperx[602].start 25945.287
transcript.whisperx[602].end 25969.935
transcript.whisperx[602].text 來拓展其他的更多的外銷。我們那個韓院長他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他也很認真,他
transcript.whisperx[603].start 25972.005
transcript.whisperx[603].end 25993.878
transcript.whisperx[603].text 我跟全國議會前理事長黃一誠我們一邊還要試包括水質管理履歷QR code然後藥檢等等跟屏東科技大學這樣密切一座來一座去那我要跟部長報告就是對岸的海關總署
transcript.whisperx[604].start 25995.575
transcript.whisperx[604].end 25995.595
transcript.whisperx[604].text 現在!
transcript.whisperx[605].start 26021.311
transcript.whisperx[605].end 26030.25
transcript.whisperx[605].text 我們的珍珠班、我們的龍虎班本來一斤、一台斤都差不多一百塊、一百塊、一百塊、二百塊,最近已經升到一百塊、兩百塊。
transcript.whisperx[606].start 26032.705
transcript.whisperx[606].end 26036.927
transcript.whisperx[606].text 我告訴你我用報告喔,那9萬的部分喔,大概,我們屏東市最主要的,大概面積大概有1400多公頃,啊那個產值過去齁,因為
transcript.whisperx[607].start 26058.277
transcript.whisperx[607].end 26075.302
transcript.whisperx[607].text 中共的總統那陣緊急醫療其實包括委員一起協助我們農民改善那個養殖的這些環境然後我們也把這樣子一個環境跟中國那邊去提交一些相關的一個改進的措施可是他們都沒有回應我們雖然說他現在開7間
transcript.whisperx[608].start 26078.183
transcript.whisperx[608].end 26078.203
transcript.whisperx[608].text 臨時報告
transcript.whisperx[609].start 26100.988
transcript.whisperx[609].end 26111.119
transcript.whisperx[609].text 我們也剛好趁這個機會讓我們的國內的消費者很喜歡這樣的一個時班,特別是用切片的方式,在美國的方式我想我們的外銷的成長量都蠻高的。
transcript.whisperx[610].start 26115.708
transcript.whisperx[610].end 26119.17
transcript.whisperx[610].text 我對酒吧我是有夠用心的,所以我是要在農業部,我們的那個月數要高一點,
transcript.whisperx[611].start 26145.642
transcript.whisperx[611].end 26160.791
transcript.whisperx[611].text 當然會把這些加速把它擴增,我們最近有在...對,我們也一直在努力,對希望議會主要好好的來幫忙啦,不要...這一定會的...不要...不幫忙再這樣修理,修理等修理賽這比賽
transcript.whisperx[612].start 26163.763
transcript.whisperx[612].end 26180.372
transcript.whisperx[612].text 委員我其實有兩部分,第一就是小台六的部分,我們怎樣來改善,這是很重要的。第二就是剛才說的,我們其實小國國的部分,你如果在外國的市場,他們大部分都吃魚排嘛,filet
transcript.whisperx[613].start 26181.312
transcript.whisperx[613].end 26185.934
transcript.whisperx[613].text 回來的時候就是我們要有處理,當然你說要去哪裡,要去小樓是一個問題,但是你的魚片、魚排的部分,其實小樓算法國有怎麼接受嗎?
transcript.whisperx[614].start 26196.478
transcript.whisperx[614].end 26224.725
transcript.whisperx[614].text 沿洋養殖跟近海養殖佔我們的總餘貨量差不多3成而已,差不多3成,我們的鄉網養殖跟岸上養殖跟內陸養殖佔了70%左右,所以這個養殖對我們來講太重要,而且高頻尤其是屏東一定要加強輔導跟輔導,我希望院長跟部長你們要care這一塊。好,我們一定care,我們全力以赴啦。
transcript.whisperx[615].start 26226.409
transcript.whisperx[615].end 26254.543
transcript.whisperx[615].text 最近有一個我們萬巒百香果還有內埔那邊的百香果我最近都在處理我很高興我們的農養署也有在幫忙就是一個雜誌社還有一個營養師用你們110年的data然後就發表什麼
transcript.whisperx[616].start 26255.57
transcript.whisperx[616].end 26263.375
transcript.whisperx[616].text 百祥國的農藥殘餘是最多的,無所罷到,用110年,我問部長,你有110年的data,啊111、112他都沒有
transcript.whisperx[617].start 26268.206
transcript.whisperx[617].end 26275.691
transcript.whisperx[617].text 我向委員報告,就是說他們網路在報告的是提80年至81年的資料,當然我們也是馬上去查記起的資料,因為百香果那是連續採收型的,平均的農藥的殘留率大概是10%,殘留大概10%,
transcript.whisperx[618].start 26288.362
transcript.whisperx[618].end 26315.34
transcript.whisperx[618].text 那我也知道說屏東因為我們百香果裡面全國大概面積差不多7000到9000公頃雖然說屏東只占5%差不多46公頃可是屏東的百香果非常特殊現在100公頃以上啦對現在占三成三成啦沒有到三成啦大概5%到6%我要跟你報告是院長我們額公尉人額弱的人我們都不希望屏東的那個賓郎
transcript.whisperx[619].start 26316.401
transcript.whisperx[619].end 26324.787
transcript.whisperx[619].text 臨時會議轉做,臨時的臨時一班三千公斤左右,現在都在轉做,這樣百鄉國農委會、農業部要幫他做往事,往事根本都屢屢的,根本都在鋪農業,你把補貼的大家都燒掉,燒一千塊,現在剩四五百,
transcript.whisperx[620].start 26340.658
transcript.whisperx[620].end 26366.358
transcript.whisperx[620].text 我跟委員報告,屏東的百香果非常特殊,因為他有做一些往事在這裡說的,所以他的品質跟比中部的好很多,所以我們一直努力的去做。第二點,我也跟委員報告,因為爆炸看來又一樣,因為那是過去的資料,所以我們馬上去抽檢。我沒有看你幫忙什麼的。對,我跟委員報告。沒有啊,沒有發表新聞啊。因為那時候沒有發表新聞,因為83年那時候,
transcript.whisperx[621].start 26369.72
transcript.whisperx[621].end 26391.689
transcript.whisperx[621].text 我們馬上去抽,到10月1日都從屏東抽20支全部合格,那這個訊息明天就會有新聞稿,因為東西它是用80年的資料嘛,所以我沒辦法說馬上說屏東沒問題,所以我們去抽檢也確定了21個樣品裡面完全合格,表示說我們屏東的農民是非常重視這樣子。
transcript.whisperx[622].start 26392.449
transcript.whisperx[622].end 26393.389
transcript.whisperx[622].text 他們是完全幾乎沒有用農藥嘛對不對部長
transcript.whisperx[623].start 26417.361
transcript.whisperx[623].end 26442.373
transcript.whisperx[623].text 他們有用一些有機脂肪,有部分的農藥,但是農藥一定都沒有在合格的範圍之內。所以我們檢測是為了... 都要靠背體啦。委員我們就要留念啦,來澄清啦。因為寒流啦,灘南風啦,整個邦山、邦寮,還有恆春那邊的荔枝、黃果,都所廢,都沒有補給。那你現在在災害認定的時候,
transcript.whisperx[624].start 26446.075
transcript.whisperx[624].end 26471.806
transcript.whisperx[624].text 我希望部長,你們要從寬認定,一年搞一次。 我了解,我給委員報告。 都吃土你知道嗎,都是吃土的,不是吃飯的。 我給委員報告,因為我本身也是從事農業研究的。 我知道說,我們行政下的,第一我先說內資啦。 內資行政的部分,雖然說它同時對小選台風有稍微影響到,不過小選台風的認定期大概3個月啦。
transcript.whisperx[625].start 26472.786
transcript.whisperx[625].end 26488.657
transcript.whisperx[625].text 我跟我們同仁研究,不一定要用小選颱風,它還有很多因素,對,特別是荔枝的生產會跟它的枝條的成熟度,跟它的溫度,所以我們會來處理。 我跟你說的就是說,它的認病要比較放寬。
transcript.whisperx[626].start 26493.6
transcript.whisperx[626].end 26510.225
transcript.whisperx[626].text 不要讓他們學本無歸,第一個。第二個,就是說你們那個規定,如果幾%、幾%、幾%那個有不合時宜的希望調整一下,專家會議改一改,那個都是辦法而已,那個不是法律,那個都是根據這些細則所定出來的辦法。
transcript.whisperx[627].start 26512.886
transcript.whisperx[627].end 26528.531
transcript.whisperx[627].text 我們會天然災害救助方法,我們是在滾動檢討的。所以剛才說的,內地的保安不需要放寬,他就應該沒什麼問題,我們已經找到一些原因了。我再請王美娃部長。請經濟部備詢。部長
transcript.whisperx[628].start 26540.919
transcript.whisperx[628].end 26565.823
transcript.whisperx[628].text 恆春半島要我為座民調。 恆春半島的人報案是七十六、七十七,他們是同意河山長演議的。 沒那麼嚴重,我在屏東我住這麼久了。 這個河山長每一次評比在全世界都是前五名的,我沒有記錯的話。 三十年來也沒有什麼重大的毛病。
transcript.whisperx[629].start 26566.653
transcript.whisperx[629].end 26593.809
transcript.whisperx[629].text 那這些百姓他們希望的是他們的醫療、他們的回饋等等,能夠更好的保障。那這個河山長一年,我們給你賺了三、四百億,你要給他關掉嗎?你不笑嗎?美國現在,連邦給大家所有的內陸的那些活力石化電廠,他們希望直接就改成河電廠。
transcript.whisperx[630].start 26596.343
transcript.whisperx[630].end 26623.684
transcript.whisperx[630].text 昨天那個報導,我後來再去看原文,寫得不精準,他講的是說那個已經沒有再用的既有的煤電廠,未來可以來思考。 配電設備不用蓋,就直接輸送出去。院長這個是很重要,現在COPP也認為他是OK的,所以不要,那你代親得嘛,代親得可以當作備用啊。
transcript.whisperx[631].start 26624.404
transcript.whisperx[631].end 26626.486
transcript.whisperx[631].text 謝謝蘇委員侵權的質詢。謝謝陳院長的備詢。接下來登記第4號,劉委員建國以
transcript.whisperx[632].start 26645.574
transcript.whisperx[632].end 26669.746
transcript.whisperx[632].text 質詢以書面提出。請行政院書面答覆並列入記錄刊登公報。在接下來我們請登記第5號張委員嘉峻質詢。院長我想請陳院長麻煩再請陳院長備詢。謝謝院長。
transcript.whisperx[633].start 26676.4
transcript.whisperx[633].end 26696.081
transcript.whisperx[633].text 首先我想感謝陳院長在2月27號那一天丁薛忠委員質詢的時候,承諾說願意開始來調漲公糧收購的價格。請問院長記得嗎?對,公糧收購的這一個部分,農業部有他的一貫的政策。
transcript.whisperx[634].start 26696.926
transcript.whisperx[634].end 26712.279
transcript.whisperx[634].text 那我們這個農業部現在是在研議過程當中那已經過了兩週了不曉得到目前為止有一個很重要的部分就是我們希望能夠提高農民的收益的這個角度沒錯沒錯因為
transcript.whisperx[635].start 26712.899
transcript.whisperx[635].end 26731.631
transcript.whisperx[635].text 那一天之後呢其實農民都為之沸騰覺得說院長您是一個真正苦民所苦願意為農民思考的院長所以我在這裡也拜託農業部我們部長是不是能夠盡速的把這個方案提出來趕快來提高公糧收購的價格
transcript.whisperx[636].start 26732.592
transcript.whisperx[636].end 26757.368
transcript.whisperx[636].text 我想跟委員說明在經濟委員會的時候就是經濟委員會有個決議就是我們會在一個月之內就提高農民收益的部分做一個完整的規劃那我在這邊要跟委員說明就是提高農民的收益有非常非常多的方法我們會做一個完整的規劃到時候在一個月以後會跟我們的經濟委員會還有所有的委員報告是這一點當然我非常清楚因為那一天我質詢
transcript.whisperx[637].start 26758.689
transcript.whisperx[637].end 26781.819
transcript.whisperx[637].text 部長啊 這個我問院長可能院長比較不能夠理解但是呢我那一天問了部長說央苗一盤多少錢我還問了他說插秧費多少錢整地費多少錢我問他13年前的他不知道我覺得是情有可原但是呢我問他現在的他也不知道
transcript.whisperx[638].start 26782.833
transcript.whisperx[638].end 26787.294
transcript.whisperx[638].text 我不曉得說經過了上週之後,現在部長記得我上個禮拜問的,你知道嗎?
transcript.whisperx[639].start 26787.294
transcript.whisperx[639].end 26804.478
transcript.whisperx[639].text 我知道,但是我要跟委員說明齁,就是我對於整體的,因為剛才那次委員說我不了解成本,但是針對各項的部分我不夠了解,但是對於整個的一個每公頃的生產成本,好像農藥的部分、肥料的部分、鴨苗的部分,我是知道的。 已經都飆漲了,都飆漲了,你看喔。
transcript.whisperx[640].start 26806.599
transcript.whisperx[640].end 26829.461
transcript.whisperx[640].text 這個基本工資從2011年到2024年已經調漲了53%但是呢我們到座成本喔大大成長了2、30%到現在我們的工糧收購已經13年前13年前就是本席在這裡提出說一定要照顧農民那這一點呢我其實看了
transcript.whisperx[641].start 26830.362
transcript.whisperx[641].end 26851.444
transcript.whisperx[641].text 也非常難過,我希望部長能夠把農民記在身上。 我想我們會做整體的規劃,不過我這邊先說明一下,雖然說他整體的生產成本有提高大概6到10%,這個我們有算出來,但是因為... 超過,超過。 沒有,這個我們是不同的比級的一個平均。 我沒有想要在這裡跟你辯論。 我知道,但是我要跟委員報告的就是
transcript.whisperx[642].start 26852.225
transcript.whisperx[642].end 26862.929
transcript.whisperx[642].text 因為從10年前到現在他的產量也有提高。對,他的產量也有提高。我讓你看一段影片好不好,院長也請您看一下這段影片。因為台北舊城
transcript.whisperx[643].start 26877.472
transcript.whisperx[643].end 26887.955
transcript.whisperx[643].text 您知道這段影片訴求是給農民一點公平。您知道這個影片是誰拍的嗎?我不太清楚。
transcript.whisperx[644].start 26889.159
transcript.whisperx[644].end 26915.524
transcript.whisperx[644].text 這一段影片是民進黨黨中央在2011年拍的影片他影片裡面說的這段影片真的非常符合現在的現況十幾年來都不調漲公糧收購的價格我想要請問院長你看了這段影片您的感受為何?
transcript.whisperx[645].start 26916.229
transcript.whisperx[645].end 26916.249
transcript.whisperx[645].text 委員長
transcript.whisperx[646].start 26934.281
transcript.whisperx[646].end 26937.243
transcript.whisperx[646].text 我只希望說聽院長這句話,我覺得您願意聽農民的心聲,就是我們想要在這裡為農民表達的。
transcript.whisperx[647].start 26959.438
transcript.whisperx[647].end 26979.667
transcript.whisperx[647].text 因為呢,院長現在是行政機關的最高首長了。你知道我們真的需要你理解農民的辛苦。尤其呢,我也想再請問院長,你知道公糧收購價格這個制度已經實施了多少年嗎?他民國63年開始實施。他已經實施了50年。是。
transcript.whisperx[648].start 26980.856
transcript.whisperx[648].end 26996.407
transcript.whisperx[648].text 自從在上任之後第一次在議事廳發表說希望提高公糧收購價格之後呢非常多的網軍側翼一直在攻擊說提高收購公糧收購價格
transcript.whisperx[649].start 26997.768
transcript.whisperx[649].end 27025.643
transcript.whisperx[649].text 是在圖利中間廠商。我就想問院長跟部長,難道這50年來我們的政府都在圖利中間廠商嗎?不過我想跟委員報告齁,當時的公糧的一個收購有當時的一個環境背景。那針對這麼多年來,我剛才說的,雖然說他的成本...你就問說有沒有嗎?有沒有圖利中間廠商?沒有,這是兩碼子的事。我就想要問你啊,你身為農委會的,你應該要知道,你部長你知不知道有沒有嗎?
transcript.whisperx[650].start 27026.383
transcript.whisperx[650].end 27048.86
transcript.whisperx[650].text 沒有,我想有沒有圖利中天商人,我們的公糧的收購價格的提高絕對不是為了商人。 是,沒錯,就是要照顧農民,所以我在這裡就是想要求部長,假設真的有圖利中天廠商,這也是你農業部的職責,要去把他揪出來,要讓這些真正的
transcript.whisperx[651].start 27050.123
transcript.whisperx[651].end 27073.776
transcript.whisperx[651].text 這些補助可以去拿到農民的手上,是農民真正可以拿到,這才是你的職責。您不能夠因為這種虛幻的理由來阻擋公糧收購價格的提高啊。因為你們有看到說那個媒體報,不過基本上公糧收購提高從過去的經驗它的面積就會提高,面積提高以後產地的價格就會降低。
transcript.whisperx[652].start 27075.316
transcript.whisperx[652].end 27089.326
transcript.whisperx[652].text 我覺得這個是當初陳吉仲說他要增加收購的數量那才是錯好不好那才有可能說會增加面積所以呢就像剛剛蘇清絕委員講的他給你留了多少爛攤子你知道嗎
transcript.whisperx[653].start 27090.006
transcript.whisperx[653].end 27117.183
transcript.whisperx[653].text 我最後呢,針對這個議題呢,現在是萬物齊仗,農民希望表達條藏公糧收購價格,這樣一點小小的心聲,難道不合理嗎?所以我在這裡特別的拜託院長,能夠再一次的正面承諾說,是不是能夠在交接以前做決定,讓我們上百萬的農民都能記得說是陳建仁院長照顧的農民。
transcript.whisperx[654].start 27118.404
transcript.whisperx[654].end 27120.165
transcript.whisperx[654].text 謝謝院長。謝謝。剛剛我也想要再提醒一下部長
transcript.whisperx[655].start 27143.456
transcript.whisperx[655].end 27169.879
transcript.whisperx[655].text 就是很多農民問我不管是老農不管是年輕的農民他們都問我說巴拉瓜到底要禁止到幾時這麼便宜又好用的農藥為什麼要禁止它呢我想跟委員說明巴拉瓜本身被禁因為它是一個劇毒農藥而且當時在農村的地區我完全理解你要說的理由但是我現在就是在跟你
transcript.whisperx[656].start 27171.038
transcript.whisperx[656].end 27181.014
transcript.whisperx[656].text 我們有替代的藥劑轉達轉達農民的心聲包括老農年金是不是能夠調漲現在我們提案說要調到一萬二你們同意嗎
transcript.whisperx[657].start 27181.857
transcript.whisperx[657].end 27209.079
transcript.whisperx[657].text 我想整個老農年金的一個改變一定要配合其他的八大社福的一個基金的第一點第二點部分就是我們也針對了裡面部分的一些有關於門檻的部分我們也做了相當的建議部長我想時間有限我只是在這裡提醒你說這些都要列入考量為什麼這個工糧收購價格不漲老農年金不漲電價要漲所以我可不可以接下來問一下王美花部長謝謝
transcript.whisperx[658].start 27211.869
transcript.whisperx[658].end 27238.218
transcript.whisperx[658].text 請經濟部長備詢院長我看起來經濟部是已經決定這個政策非漲不可就是電價非漲不可我想要請問院長說您認為現在是調漲的好時機嗎確實現在這個時機我們是需要檢討所以才會讓電價審議委員會來認真的就電價的部分來討論那最主要的原因我剛才已經講過
transcript.whisperx[659].start 27239.54
transcript.whisperx[659].end 27246.845
transcript.whisperx[659].text 其實我也很擔心說院長沒有接收到最新的訊息,其實在二、五戰爭的時候能源價格的確是大大的提漲了,但是到目前為止已經落到
transcript.whisperx[660].start 27261.494
transcript.whisperx[660].end 27261.794
transcript.whisperx[660].text 委員那個我們
transcript.whisperx[661].start 27290.458
transcript.whisperx[661].end 27291.118
transcript.whisperx[661].text 這是現在的CPI
transcript.whisperx[662].start 27317.711
transcript.whisperx[662].end 27318.672
transcript.whisperx[662].text 我跟委員報告我們在做去
transcript.whisperx[663].start 27331.866
transcript.whisperx[663].end 27350.395
transcript.whisperx[663].text 此前兩年的電價調整的時候我們都有很做細緻的調整最主要的目的為什麼我們沒有像外國一樣一條就是60%啊80%就是因為不要讓物價大量調整所以到地方調漲所以我們的做法是很精細的相對於其他世界上其他的國家我們是
transcript.whisperx[664].start 27351.175
transcript.whisperx[664].end 27352.437
transcript.whisperx[664].text 我理解但是呢我還想問院長就是說
transcript.whisperx[665].start 27369.718
transcript.whisperx[665].end 27383.942
transcript.whisperx[665].text 針對臺電虧損就好像說你說能源波動臺電虧損去年跟前年我們都分別已經編列預算增資1500億1000億還有特別預算補貼500億目前已經累積虧損3820億那我現在又從報紙上看到說王部長決定今年可能會再從這個超增稅收裡面再補貼1500億這個屬實嗎
transcript.whisperx[666].start 27397.13
transcript.whisperx[666].end 27415.674
transcript.whisperx[666].text 他們有提出來﹚我們有申請但是院裡面現在還在試算﹚還在試算﹚可以補貼的部分。 不理解的地方。 這樣比較有力。 我沒有了解的地方就是說所有百姓也不理解說我們既然已經要撥一千五百億補貼台電了為什麼我們還要漲電價?
transcript.whisperx[667].start 27415.674
transcript.whisperx[667].end 27425.456
transcript.whisperx[667].text 那個理由很簡單就是你看看他這個以這個燃料費的情況來看就虧損了三千八百億的今年啦跟一千八百億的五千多億
transcript.whisperx[668].start 27426.716
transcript.whisperx[668].end 27429.637
transcript.whisperx[668].text 所以簡單講就是過往政府給台電的資金跟補貼的經費跟台電兩年的虧損來比,這虧損還是遠大於撥補的部分。
transcript.whisperx[669].start 27448.586
transcript.whisperx[669].end 27466.51
transcript.whisperx[669].text 我簡單講一下就是說為什麼會有這個虧損是不是能源政策有錯這個是值得檢討但我今天的訴求很簡單就是希望民生用電330度以下的這個民生用電可以動長我也想要請問院長說不曉得這一次漲電價的這個
transcript.whisperx[670].start 27468.871
transcript.whisperx[670].end 27468.891
transcript.whisperx[670].text 謝謝你幫
transcript.whisperx[671].start 27485.418
transcript.whisperx[671].end 27507.483
transcript.whisperx[671].text ﹚議員﹚
transcript.whisperx[672].start 27507.743
transcript.whisperx[672].end 27509.306
transcript.whisperx[672].text 這相關的信息都會在審議委員會裏面補貼?
transcript.whisperx[673].start 27523.365
transcript.whisperx[673].end 27550.706
transcript.whisperx[673].text 院長介紹一下我們雲林縣的一個優勢因為大家現在都在討論說臺積電到底要去哪裡啊臺積電到底他的先進製程要落在哪一個城市那我也藉這個機會跟院長還有部長說一下我們雲林縣的優點就是我們有超過1200公頃的公有土地臺塘土地這是完全是希望說院長跟部長可以支持
transcript.whisperx[674].start 27551.266
transcript.whisperx[674].end 27578.481
transcript.whisperx[674].text 另外就是說我們北有竹科南有南科可以形成產業鏈甚至因為1200公頃的土地它未來台積電如果落腳在雲林的話它未來20年30年的發展它有足夠的一個腹地甚至呢我們有兩所國立科技大學雲科大虎科大可以為台積電甚至其他的高科技產業來培育專業的人才之外呢我們有充沛的水資源
transcript.whisperx[675].start 27579.241
transcript.whisperx[675].end 27581.643
transcript.whisperx[675].text 謝謝張委員加進的質詢。謝謝陳院長的備詢。接下來我們請登記第6號陳委員超明質詢。
transcript.whisperx[676].start 27616.282
transcript.whisperx[676].end 27623.568
transcript.whisperx[676].text 我們主席韓院長好。首先有請我們行政院陳院長,農業部的陳部長。麻煩請農業部部長備選。陳委員午安,恭喜你連任。謝謝謝謝。我也感謝陳院長。
transcript.whisperx[677].start 27635.868
transcript.whisperx[677].end 27637.049
transcript.whisperx[677].text 剛剛張家俊委員有談到公糧收購價格問題應該要上檔
transcript.whisperx[678].start 27661.827
transcript.whisperx[678].end 27687.494
transcript.whisperx[678].text 我也報告院長我現在下鄉的時候大家都在討論電價上漲電價上漲是會通膨還是通收你漲的大家沒有錢不敢弄花各種狀況會出來但是我碰到所有的農民那些朋友都跟我講叫我務必要反映公糧收購的價格要上漲
transcript.whisperx[679].start 27688.581
transcript.whisperx[679].end 27702.464
transcript.whisperx[679].text 那在上一屆我會提了好幾次好像你們都無動於衷但是啦早晚你要面臨這樣的問題所以工糧的收購計畫價格計畫收購23塊舞蹈收購20塊宜良收購18塊6這是在100人民國100人群調整的
transcript.whisperx[680].start 27715.356
transcript.whisperx[680].end 27734.523
transcript.whisperx[680].text 那一百人以後改為二十六、二十三、二十一點六塊。那這一來的人誰調了上場?是吳敦義院長。因為陳水扁當總統的時候把這個什麼都動起來不敢上場。為了選舉耀眼什麼動就討好了。
transcript.whisperx[681].start 27735.943
transcript.whisperx[681].end 27750.436
transcript.whisperx[681].text 現在我們蔡英文總統做了八年,這個也不敢漲,連電價都不敢漲,現在整個要一起漲,這個是嚴重的問題。但是剛剛張建均有講過了,我們的回量,
transcript.whisperx[682].start 27751.701
transcript.whisperx[682].end 27778.443
transcript.whisperx[682].text 我們的農藥我們的藥苗都在漲價那其實不但你在回答說你算得很精那我到鄉下跟農民在一起的時候天天都跟我們抱怨工糧收購的價格收穫起來一家都貪不盡能把碼所以現在電價上漲什麼物價上漲你工糧沒有上漲的時候農民會極大的感嘆
transcript.whisperx[683].start 27780.034
transcript.whisperx[683].end 27783.605
transcript.whisperx[683].text 所謂今天跟陳院長,我看你會繼續繼續留著嗎?你現在要做什麼?
transcript.whisperx[684].start 27788.015
transcript.whisperx[684].end 27814.409
transcript.whisperx[684].text 我們未來的賴清德當總統的時候不要這個問題丟給他。你們這一代把他收拾好一下。所以在你追政的院長之內我希望工人能調整。給農民安心的一個交代。現在他們光看電價每天的煩惱都沒有收入。晚上都睡不好覺。雖然有睡覺但是都睡不好覺。
transcript.whisperx[685].start 27815.632
transcript.whisperx[685].end 27830.037
transcript.whisperx[685].text 你覺得有辦法答應,確確實實,成本真的在上漲,不管人工不管什麼,阿保證我問你幾十天了,你現在怎麼明明...我給委員報告齁,你剛才說的這齁,100年上漲了3塊以外還有2塊的一個乾燥費齁,結果我們去調查了從100年到112年,整個的農民收益並沒有實質的增加,這是第一個。
transcript.whisperx[686].start 27845.563
transcript.whisperx[686].end 27856.449
transcript.whisperx[686].text 是因為工糧只佔整個稻穀的收購的三成其他的是民糧在收購的當你工糧收購提高的時候面積擴大民糧的收購價格往下降
transcript.whisperx[687].start 27858.63
transcript.whisperx[687].end 27878.369
transcript.whisperx[687].text 所以我們現在正在規劃齁就是從整體的農民的收益的確保去做一個整體的規劃你都這樣搞公糧收購只有三成民間的價格比較好那三成的不是齁三成是奉公所法的勒大部分都是交公糧的勒我們現在在調查的就是說齁
transcript.whisperx[688].start 27880.831
transcript.whisperx[688].end 27893.822
transcript.whisperx[688].text 國企的成本有差不多6%至10%的上漲,可是產量也提高了。本來就沒什麼賺錢,你現在又不去,你做民間收購的就一天賺,賺了那一點點啦,這樣沒合理的啦,沒有合理的錢就有啦。我跟委員報告說,農業沒軍心齁,農民我們都內行的啦。
transcript.whisperx[689].start 27901.908
transcript.whisperx[689].end 27927.416
transcript.whisperx[689].text 我們要購買的不是稻農,我們的所有農民我們都要確保他的收入,包括稻農、包括種玉米的、種高粱的、種大豆的。 所以我們現在做整體的一個評估啦,就是確保農民收益。委員長、政府委員剛剛講了,這個問題確實要去研究,你不要說只有公用、公糧收購的話占了30%,那30%的人特別照顧,所以希望你調高一點。
transcript.whisperx[690].start 27928.436
transcript.whisperx[690].end 27929.239
transcript.whisperx[690].text 委員這樣啦,因為剛才就我們保證文豪答應這個張委員嘛齁
transcript.whisperx[691].start 27934.872
transcript.whisperx[691].end 27964.872
transcript.whisperx[691].text ﹚議員﹚
transcript.whisperx[692].start 27965.593
transcript.whisperx[692].end 27981.586
transcript.whisperx[692].text 轉做農作物,你現在看這個表,11年都沒去,你應該要調整工糧,你要給他減少面積,你那個休耕轉做雜糧的時候你把他拿到館裡嘛,大家就不會去搶嘛。
transcript.whisperx[693].start 27982.327
transcript.whisperx[693].end 27987.07
transcript.whisperx[693].text 你要兩個數字去平衡阿,這是要靠採訪,不是你這樣去做。
transcript.whisperx[694].start 28013.007
transcript.whisperx[694].end 28014.788
transcript.whisperx[694].text 看這個表,農村發展期水土保持113年到116年
transcript.whisperx[695].start 28040.461
transcript.whisperx[695].end 28053.227
transcript.whisperx[695].text 一共有432億,那個前瞻計畫,農村再生的計畫,農田水利市有農田水利跨域整合的計畫,114年度到117年度212億,
transcript.whisperx[696].start 28058.721
transcript.whisperx[696].end 28077.389
transcript.whisperx[696].text 我相信這是有內行的,農村再生我會摸了很久,你地方創生摸了很久,但是你國發會只有做計畫又沒有錢,你說要跟他們匡列,我這裡安若驚特別請你來,農村再生很重要,
transcript.whisperx[697].start 28078.328
transcript.whisperx[697].end 28095.438
transcript.whisperx[697].text 地方創生也很重要,兩個要結合在一起,餅才會做到,你了解我講的意思嗎?我把一看就你們做,你們地方創生好像去幫演會,幫幫的,喔新娘的播種,一兩年就不見了。我講地方創生,我實際看到了啦,我都在執行你這計畫,所以我希望你國發會的地方,
transcript.whisperx[698].start 28106.998
transcript.whisperx[698].end 28130.446
transcript.whisperx[698].text 創生跟你農業部的農村再生能把它結合起來,因為好舉的舉動在推展。我跟委員報告,其實農村再生其實我們很緊密的跟國安會所主導的地方是受做結合的,而且幾乎是每一季,國安會主委這邊...你講結合,我去跟你們拜託大家有時候互相推來推去,你說的好不好,我還要找你們兩個這樣好不好?
transcript.whisperx[699].start 28131.946
transcript.whisperx[699].end 28132.987
transcript.whisperx[699].text 你國會會我特別請你起來
transcript.whisperx[700].start 28145.303
transcript.whisperx[700].end 28159.088
transcript.whisperx[700].text 我就是要講地方創生跟農村再生,因為我摸了很久,我一稱二尺好不好?有做就要有幫忙起來,這樣結尾做完會久久長久有效益,這樣好不好?因為院長已經看過我們幾個地方創生案
transcript.whisperx[701].start 28165.63
transcript.whisperx[701].end 28178.284
transcript.whisperx[701].text 你們說現在新的目標把每年浪費的60%流自大海的水要流自,我覺得各位不簡單。我還不曉得你們只有流自。您老家水要給農民來用。
transcript.whisperx[702].start 28180.486
transcript.whisperx[702].end 28195.503
transcript.whisperx[702].text ﹚議員
transcript.whisperx[703].start 28195.543
transcript.whisperx[703].end 28197.783
transcript.whisperx[703].text 我如果要求你你真的要做我以前都有拜託你們講好好只是做了一兩個給我看一下
transcript.whisperx[704].start 28225.969
transcript.whisperx[704].end 28241.4
transcript.whisperx[704].text 那我們通宵裡面本來禮儀壇水庫要引水進來的,它的丘陵地很多,它的山谷凹凹齊齊服務,那是最好帶水的地方。委員如果有什麼建議我們都可以齊心來接受,來一起討論。時間要沒了,謝謝你。再來我就請我們經濟部長黃國華會主委
transcript.whisperx[705].start 28257.589
transcript.whisperx[705].end 28276.468
transcript.whisperx[705].text 這個問題比較大,把你們這幾個頭叫來,本來我只要請你們的副院長,今天沒有看到哪,因為大溪谷有院長在就能來。我為什麼講苗栗縣值得更好投資,陶瓷指苗大溪谷去挖,因為我看到我問過
transcript.whisperx[706].start 28278.226
transcript.whisperx[706].end 28298.67
transcript.whisperx[706].text 我們的國安會主委的時候,你那時候很早到苗栗,去了一次是在我的地方,榮鳳漁港去檢查,你說你有去。不是啊,我是跟你一起去啊,我去過好多次。院長只有選舉的時候去了兩三次,還好沒有騙你宅死。這個大序股計畫我很早就提了。
transcript.whisperx[707].start 28299.642
transcript.whisperx[707].end 28325.608
transcript.whisperx[707].text 我在110年10月6日部長的時候我就特別提了這個然後到了110年也有辦理會刊我這個地方就是我們當時的加工機長那個機長我請他們去陪我調查花了一天整整一天的時間做出來
transcript.whisperx[708].start 28326.738
transcript.whisperx[708].end 28334.011
transcript.whisperx[708].text 但是今天你這個陶瓷子廟大事故計畫,我一定有理想看不出來,你不相信嗎?
transcript.whisperx[709].start 28335.578
transcript.whisperx[709].end 28361.799
transcript.whisperx[709].text 你要曉得苗栗的位置是怎樣我們的投汶竹壇是靠近新竹科技的前期連結在一起我們南邊的縣裡是靠近台中的科學營區所以發展西部科技走廊苗栗縣裡要把它貫穿起來我現在看到你再來下一張你看桃園386公頃
transcript.whisperx[710].start 28365.768
transcript.whisperx[710].end 28384.626
transcript.whisperx[710].text 新竹新竹市322公頃,苗栗3個加起來290公頃,真正的要發展是我們在那一邊啦,討厭200多萬的人口,新竹縣新竹縣也滿了,新竹市也沒有地方了。
transcript.whisperx[711].start 28385.831
transcript.whisperx[711].end 28403.038
transcript.whisperx[711].text 所以我特別的要求我們現在提出900公頃出來都在竹蘭科學園區的附近在新竹科學園區的附近我們這幾個地區從苗栗的竹蘭到新竹科學園區比新竹市道
transcript.whisperx[712].start 28404.625
transcript.whisperx[712].end 28411.53
transcript.whisperx[712].text 拜託啦好好照顧我,你先不來我實在不敢回去,因為我堅持這條走廊我一定要完成。
transcript.whisperx[713].start 28430.03
transcript.whisperx[713].end 28438.097
transcript.whisperx[713].text 這是我的信念,我一直在推,我對苗栗的發展非常重視,我會了解未來的發展苗栗縣都是最少的
transcript.whisperx[714].start 28447.711
transcript.whisperx[714].end 28475.138
transcript.whisperx[714].text 沒有啦,那個科學園區150工刑是那一總統當時宣布這個大矽谷計畫是在苗栗宣布的勒,我不好意思他超虛偶的啦,人家做總統的啦委員非常重視苗栗的發展,那就像委員講的對,我們也跟著委員去看幾個地方啦吼,那現在苗栗的問題可能一定要地方政府跟中央來合作,因為他公有的地比較少
transcript.whisperx[715].start 28476.098
transcript.whisperx[715].end 28479.241
transcript.whisperx[715].text 所以他的第一個問題就是私有地這個怎麼解決?
transcript.whisperx[716].start 28479.241
transcript.whisperx[716].end 28492.173
transcript.whisperx[716].text 我們私有地我們大概都有去了解過了,而且我們做過很明顯,你可以看到苗栗縣中東景縣長的魄力,他的思維,我自信他能完成,你了解我?
transcript.whisperx[717].start 28494.378
transcript.whisperx[717].end 28498
transcript.whisperx[717].text 我會專程派你來苗栗考察一下,主委長我真的很感謝你,你後到那一次我看你每次看到我在場
transcript.whisperx[718].start 28519.91
transcript.whisperx[718].end 28536.493
transcript.whisperx[718].text 你都不敢亂講話,都說陳昌明很無力,所謂民進黨不敢亂修理,我這一點特別感謝。但是我苗栗縣的發展,讓苗栗縣變得偉大,我現在把他扣一塊而已,這樣好不好?把我們轉到旗旗傑好不好?雖然是看不清楚,你以為我們在國情新聞的時候都把這個全部發表清楚好不好?可是我自己也沒有發表清楚。
transcript.whisperx[719].start 28549.199
transcript.whisperx[719].end 28568.592
transcript.whisperx[719].text 謝謝陳委員超明的質詢,謝謝陳院長的備詢。接下來登記第七位陳委員秀寶,質詢以書面提出。請行政院書面答覆,並列入記錄刊登公報。在接下來我們請登記第八位馬委員文君質詢。
transcript.whisperx[720].start 28578.948
transcript.whisperx[720].end 28582.072
transcript.whisperx[720].text 請陳院長請陳院長備詢院長午安今天又第二次見面
transcript.whisperx[721].start 28594.197
transcript.whisperx[721].end 28620.606
transcript.whisperx[721].text 剛剛排到經濟的部分那在這裡我們還是要請教院長我們早上談到的部分還有下午其實都是跟我們民生非常相關的部分那就這個部分我想先請教針對農民農保的部分因為農保現在很多條件在限縮當然可能是為了很多假農民的問題這個部分
transcript.whisperx[722].start 28622.046
transcript.whisperx[722].end 28622.206
transcript.whisperx[722].text 我舉幾個例子。
transcript.whisperx[723].start 28640.683
transcript.whisperx[723].end 28640.703
transcript.whisperx[723].text ﹚國務委員
transcript.whisperx[724].start 28659.844
transcript.whisperx[724].end 28660.304
transcript.whisperx[724].text ﹚一、三、四、五﹚
transcript.whisperx[725].start 28679.452
transcript.whisperx[725].end 28683.175
transcript.whisperx[725].text 我們現在有很多以前可以保農保的縱數現在不可以是不是縱數基本上它本身是一個所謂的景觀樹木有沒有那個部分所以我們在縱數的部分是有一些條件的
transcript.whisperx[726].start 28704.502
transcript.whisperx[726].end 28722.771
transcript.whisperx[726].text 哪一些是有條件﹖像一般的林農的部分他是可以的但是有一些一般的那個原液景觀公司有沒有﹖他是公司的形態有沒有他去種然後他所僱用的人其實他只是在﹖桂花是算什麼是景觀還是哪一個桂花
transcript.whisperx[727].start 28724.263
transcript.whisperx[727].end 28750.141
transcript.whisperx[727].text 貴花要看他沒有啦他本身如果是因為在做警官的時候有沒有他顧的人現在就是說那個公司以公司形態顧的人不是不是我說本身他就是種樹因為種樹跟你你有公司當然不是啊他一定是本身是農民他參與他是種樹因為你有一些你很難分得出來他到底是什麼比如說肉桂肉桂是警官還是可用的
transcript.whisperx[728].start 28750.501
transcript.whisperx[728].end 28751.021
transcript.whisperx[728].text 我了解我了解對對對
transcript.whisperx[729].start 28773.047
transcript.whisperx[729].end 28798.351
transcript.whisperx[729].text 他已經繳了二、三十年的農保,你突然今天說不行,把他過去的全部把他取消掉,這是不合理的,這政府至少要有誠信原則,如果你在未來覺得說這個有一些是不適宜的,那你訂落日條款,你過去已經同意人家的,人家已經付了那麼久的,他以前都繳農保啊,那過去他沒有機會繳其他的保險,結果你政府說停就停。
transcript.whisperx[730].start 28799.572
transcript.whisperx[730].end 28806.339
transcript.whisperx[730].text 這是非常不合理的,而且是嚴重的傷害到農民的權益。 這個部分部長是不是可以覺得這個部分是好的?
transcript.whisperx[731].start 28806.339
transcript.whisperx[731].end 28819.054
transcript.whisperx[731].text 我想我基本上同意您的說法,就是說我們在做修改的時候,針對之前已經保農保的部分,我們的落日條件,我們會做一些排除的部分,我想我們會更嚴謹的去思考。
transcript.whisperx[732].start 28819.494
transcript.whisperx[732].end 28843.149
transcript.whisperx[732].text 因為農業部一直是跟農民站在一起的,絕對不會輕易的...部長因為現在已經發生,他已經把人家停掉了,所以這個部分我們希望可以趕快跟各地的相關農會可以去討論好不好?因為你以後我們如果說要去做條件的把關,我覺得那都可以可是你讓投保的人自己很清楚的知道,那你過去我已經講了那麼多了
transcript.whisperx[733].start 28844.11
transcript.whisperx[733].end 28846.511
transcript.whisperx[733].text 我們現在還要請教的是我們現在休耕政策是不是有做了一些調整?
transcript.whisperx[734].start 28868.92
transcript.whisperx[734].end 28892.688
transcript.whisperx[734].text 基本上我們的休耕政策,因為其實一個好的一個土地的品質的維護,他絕對不要去連作,連作的話會讓土壤的土質,所以我們有一些休耕,但是也不能連續休耕,因為連續休耕也不好。所以現在我們的休耕本身是一休一種,這是一個是我們自農業部所推動的一個方向。
transcript.whisperx[735].start 28893.459
transcript.whisperx[735].end 28908.559
transcript.whisperx[735].text 部長這個部分因為我們在好像去年還是今年才稍微又做了調整,它以前是好像4年選一次可以休耕的部分嘛,現在好像兩年就一次。
transcript.whisperx[736].start 28909.48
transcript.whisperx[736].end 28931.562
transcript.whisperx[736].text 這個會造成什麼樣的一個影響就是農民其實我們現在我們的農業人口都是年紀非常大的所以其實你一旦要休耕他如果他他他也不能擺著通通不動他必須要種植其他的才可以拿休耕補助所以你要領這個補助的時候他必須要除一次草就是要還要翻土
transcript.whisperx[737].start 28932.442
transcript.whisperx[737].end 28953.698
transcript.whisperx[737].text 這些都要花錢請人家做因為不可能是農民自己做現在不可能用人工所以這是一次的費用可是當他還要再一次種植的時候他要再花一次等於他比過去休耕的政策他多花一次的這樣的一個費用這個部分我想部長請回去請相關的一些
transcript.whisperx[738].start 28954.719
transcript.whisperx[738].end 28958.342
transcript.whisperx[738].text 對,我想跟委員說明齁,這可能有點誤解齁,剛才說的兩年一個休耕,那是針對我們的稻作四選三,因為兩年有四期作。
transcript.whisperx[739].start 28974.713
transcript.whisperx[739].end 28978.094
transcript.whisperx[739].text 部長,我想可能不是宣導,他們很清楚,因為成本都是他們在付,就像剛剛講的,這是針對水稻的部分,那水稻過去,其實我們政策有調整,所以我相信部長知道這個意思。
transcript.whisperx[740].start 29002.581
transcript.whisperx[740].end 29024.01
transcript.whisperx[740].text 所以對他們來說他們就是多了一次的成本可是剛剛聽到前面兩位的委員他們在提到的就是我們提高供糧收購的價格我們好像又沒有辦法做到因為剛剛說休耕這個他為什麼可以有休耕補助是因為如果符合我們的休耕的方式調整成這樣的方式我們才願意跟他收購
transcript.whisperx[741].start 29024.65
transcript.whisperx[741].end 29051.118
transcript.whisperx[741].text ﹚議員
transcript.whisperx[742].start 29051.198
transcript.whisperx[742].end 29051.218
transcript.whisperx[742].text ﹚廣告
transcript.whisperx[743].start 29074.735
transcript.whisperx[743].end 29104.735
transcript.whisperx[743].text
transcript.whisperx[744].start 29105.035
transcript.whisperx[744].end 29123.921
transcript.whisperx[744].text 這個部分我們請農業部再做一些研議跟考量那希望可以不要在對農民增加負擔的情況之下應該要把我們的政策落實到照顧到農民是最好的你既然沒有你在現階段還沒有辦法調高他的價格的時候至少不要增加他的負擔謝謝
transcript.whisperx[745].start 29125.501
transcript.whisperx[745].end 29142.14
transcript.whisperx[745].text 那另外我們現在要談到的就是主計總署的資料顯示我們現在外使的費用月增率在2月的時候已經升到0.48%這是高於長期的平均漲幅
transcript.whisperx[746].start 29143.701
transcript.whisperx[746].end 29163.827
transcript.whisperx[746].text 綜合統計處的分析是因為他調漲的原因他分析的理由當然是近三年外食費他有三波的上漲第一個當然就是疫情在110年的時候在111年因為惡霧戰爭黃曉裕這些大宗物資也帶頭也漲了
transcript.whisperx[747].start 29165.848
transcript.whisperx[747].end 29188.623
transcript.whisperx[747].text 那接下來就是112年因為缺蛋蛋價調高以後因為對於我們的所有的飲食習慣他蛋的用量非常高所以也帶動所有的外食的這些漲幅那下個月又要漲電價勢必也會帶動很多很多的漲幅所以在這裡我們剛剛在討論的時候我們辦公室的同仁
transcript.whisperx[748].start 29192.566
transcript.whisperx[748].end 29211.674
transcript.whisperx[748].text 他們也收到小孩子帶回去的一個問卷調查學校的他們原來的餐費一餐可能50塊那現在有三個方案60塊或者兩個55塊的那要看家長同不同意是勢必要漲了那漲幅其實也是10%20%只是大家怎麼選擇
transcript.whisperx[749].start 29214.295
transcript.whisperx[749].end 29241.097
transcript.whisperx[749].text 那你如果挑55塊的他大概就是一個月或是牛奶大概就沒得喝或者是麵包沒得吃那你如果60塊的就是維持原來的可是他就是漲了10塊那在這些所有的不管在生活在外食在各方方面面其實都會漲價的情況之下我們所有的政策的推動難道一定是在這個節點嗎因為
transcript.whisperx[750].start 29244.479
transcript.whisperx[750].end 29258.747
transcript.whisperx[750].text 像我們看到很多現在的政府在推動新政策的時候通常也應該要把通膨的因素也要把它考量進去現在通膨的情況也非常的嚴重
transcript.whisperx[751].start 29259.207
transcript.whisperx[751].end 29285.861
transcript.whisperx[751].text 那現在過去電價也調高了兩次如果是連2018年已經調了三次他從3%在後面的這兩年又調了19.4%其實再加上如果下個月又要調漲再加上通膨再加上很多的這些因素他其實造成的很多的漲價是不是人民可以負擔得起那你接下來其實你不只漲這些你不只漲這個
transcript.whisperx[752].start 29287.041
transcript.whisperx[752].end 29299.873
transcript.whisperx[752].text 還有包括我們的高鐵還有包括我們的客運還有包括我們的掛號費現在這個像掛號費或餐食這個都是省不掉的你生病就一定要看醫生
transcript.whisperx[753].start 29300.913
transcript.whisperx[753].end 29317.108
transcript.whisperx[753].text ﹚議員
transcript.whisperx[754].start 29317.188
transcript.whisperx[754].end 29333.399
transcript.whisperx[754].text 在這一部分的感受或者生活的調適上其實他要面臨的這些還包括薪資他長得很少甚至我們的實質的是負成長那就這些方面我們有什麼樣的
transcript.whisperx[755].start 29334.56
transcript.whisperx[755].end 29349.196
transcript.whisperx[755].text 更深刻的考量,讓人民的感受可以不要那麼多,再加上過去這幾個月,因為我們剛剛是有做了一些事,之前有做了事實的調漲,就是很多人被開罰單,早上我也提過,所有的都在花錢。
transcript.whisperx[756].start 29350.037
transcript.whisperx[756].end 29367.204
transcript.whisperx[756].text 那這個到底可以怎麼做讓人民的感受可以不要那麼強烈剝奪感這麼深因為大家都講不是漲到2萬點可是那個是一直獨秀只有台積電跟少數的幾支股票80%的股民其實是賠錢
transcript.whisperx[757].start 29368.064
transcript.whisperx[757].end 29370.666
transcript.whisperx[757].text 談到這個電價的調整確實你剛才那個圖裡面可以看得到我們在最近調的電價
transcript.whisperx[758].start 29394.452
transcript.whisperx[758].end 29412.494
transcript.whisperx[758].text 有調到8.4%調到11%這是剛好在COVID-19的時間也是在俄烏戰爭以後那全世界在這一段燃料大量增加的這一段期間調整的弧度都是在50、60甚至有加倍的在做
transcript.whisperx[759].start 29412.93
transcript.whisperx[759].end 29412.95
transcript.whisperx[759].text ﹚廣告
transcript.whisperx[760].start 29433.092
transcript.whisperx[760].end 29446.023
transcript.whisperx[760].text 您的建議會考慮到民生的用電會考慮到工業的用電而且工業用電還會考慮到這個是在成長中的產業還是在在比較還沒有完全起
transcript.whisperx[761].start 29446.57
transcript.whisperx[761].end 29446.59
transcript.whisperx[761].text ﹚廣告
transcript.whisperx[762].start 29467.296
transcript.whisperx[762].end 29467.576
transcript.whisperx[762].text 這一部分我們還是
transcript.whisperx[763].start 29498.961
transcript.whisperx[763].end 29514.597
transcript.whisperx[763].text 謝謝馬文、文君的質詢。也謝謝陳院長的備詢。報告院會本日排定質詢的委員均已質詢完畢。謝謝陳院長以及相關部會首長列席答詢。現在作以下的決定。下次會議繼續進行經濟組織質詢。現在散會。謝謝。