iVOD / 17270

Field Value
IVOD_ID 17270
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17270
日期 2026-03-16
會議資料.會議代碼 委員會-11-5-15-2
會議資料.會議代碼:str 第11屆第5會期內政委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第5會期內政委員會第2次全體委員會議
影片種類 Full
開始時間 2026-03-16T08:31:20+08:00
結束時間 2026-03-16T11:31:00+08:00
影片長度 02:59:40
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3eadc5f31f4729d12f51fc48310b441d33d157d0edf07c12ea605ce10ff332c1a2c5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-03-16T09:00:00+08:00
會議名稱 立法院第11屆第5會期內政委員會第2次全體委員會議(事由:一、邀請內政部部長率同所屬列席報告業務概況(含上會期臨時提案辦理情形),並備質詢。二、審查委員林俊憲等23人擬具「市區道路條例第二十三條條文修正草案」案。【僅詢答】【3月16日及18日兩天一次會】)
委員名稱 完整會議
委員發言時間 08:31:20 - 11:31:00
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 1827.08721875
transcript.pyannote[0].end 1829.21346875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1830.76596875
transcript.pyannote[1].end 1834.15784375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1835.59221875
transcript.pyannote[2].end 1836.70596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 1836.82409375
transcript.pyannote[3].end 1840.63784375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 1841.27909375
transcript.pyannote[4].end 1848.33284375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1848.40034375
transcript.pyannote[5].end 1850.61096875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 1850.81346875
transcript.pyannote[6].end 1852.48409375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 1852.66971875
transcript.pyannote[7].end 1856.41596875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 1856.61846875
transcript.pyannote[8].end 1857.64784375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1857.76596875
transcript.pyannote[9].end 1863.65534375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1863.89159375
transcript.pyannote[10].end 1867.46909375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1867.84034375
transcript.pyannote[11].end 1871.55284375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 1871.85659375
transcript.pyannote[12].end 1872.07596875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 1872.19409375
transcript.pyannote[13].end 1876.19346875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 1876.46346875
transcript.pyannote[14].end 1880.19284375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1880.41221875
transcript.pyannote[15].end 1887.01034375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 1887.16221875
transcript.pyannote[16].end 1887.97221875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 1888.73159375
transcript.pyannote[17].end 1894.95846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 1895.85284375
transcript.pyannote[18].end 1900.07159375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 1901.33721875
transcript.pyannote[19].end 1901.55659375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 1901.82659375
transcript.pyannote[20].end 1904.50971875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 1905.57284375
transcript.pyannote[21].end 1908.20534375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 1910.51721875
transcript.pyannote[22].end 1924.60784375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 1925.11409375
transcript.pyannote[23].end 1925.87346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 1927.08846875
transcript.pyannote[24].end 1927.94909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 1929.13034375
transcript.pyannote[25].end 1934.20971875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 1934.53034375
transcript.pyannote[26].end 1938.76596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 1939.00221875
transcript.pyannote[27].end 1941.93846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 1944.09846875
transcript.pyannote[28].end 1945.16159375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 1946.76471875
transcript.pyannote[29].end 1947.79409375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 1949.97096875
transcript.pyannote[30].end 1950.91596875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 1952.78909375
transcript.pyannote[31].end 1957.59846875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 1957.71659375
transcript.pyannote[32].end 1958.17221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 1958.18909375
transcript.pyannote[33].end 1959.04971875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 1963.16721875
transcript.pyannote[34].end 1963.69034375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 1964.02784375
transcript.pyannote[35].end 1965.63096875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 1968.71909375
transcript.pyannote[36].end 1970.38971875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 1974.37221875
transcript.pyannote[37].end 1976.17784375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 1979.55284375
transcript.pyannote[38].end 1981.15596875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 1983.82221875
transcript.pyannote[39].end 1985.17221875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 1988.17596875
transcript.pyannote[40].end 1989.96471875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 1993.23846875
transcript.pyannote[41].end 1995.76971875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 1997.54159375
transcript.pyannote[42].end 2003.32971875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 2004.20721875
transcript.pyannote[43].end 2017.92659375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 2018.92221875
transcript.pyannote[44].end 2027.71409375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 2029.95846875
transcript.pyannote[45].end 2033.50221875
transcript.pyannote[46].speaker SPEAKER_11
transcript.pyannote[46].start 2031.10596875
transcript.pyannote[46].end 2031.12284375
transcript.pyannote[47].speaker SPEAKER_11
transcript.pyannote[47].start 2031.24096875
transcript.pyannote[47].end 2031.49409375
transcript.pyannote[48].speaker SPEAKER_07
transcript.pyannote[48].start 2042.22659375
transcript.pyannote[48].end 2137.77284375
transcript.pyannote[49].speaker SPEAKER_07
transcript.pyannote[49].start 2137.85721875
transcript.pyannote[49].end 2189.24159375
transcript.pyannote[50].speaker SPEAKER_07
transcript.pyannote[50].start 2189.54534375
transcript.pyannote[50].end 2195.26596875
transcript.pyannote[51].speaker SPEAKER_07
transcript.pyannote[51].start 2195.82284375
transcript.pyannote[51].end 2208.51284375
transcript.pyannote[52].speaker SPEAKER_07
transcript.pyannote[52].start 2208.54659375
transcript.pyannote[52].end 2212.34346875
transcript.pyannote[53].speaker SPEAKER_07
transcript.pyannote[53].start 2212.68096875
transcript.pyannote[53].end 2224.12221875
transcript.pyannote[54].speaker SPEAKER_07
transcript.pyannote[54].start 2224.76346875
transcript.pyannote[54].end 2233.60596875
transcript.pyannote[55].speaker SPEAKER_07
transcript.pyannote[55].start 2234.58471875
transcript.pyannote[55].end 2299.03034375
transcript.pyannote[56].speaker SPEAKER_07
transcript.pyannote[56].start 2299.38471875
transcript.pyannote[56].end 2311.55159375
transcript.pyannote[57].speaker SPEAKER_07
transcript.pyannote[57].start 2311.87221875
transcript.pyannote[57].end 2343.39471875
transcript.pyannote[58].speaker SPEAKER_07
transcript.pyannote[58].start 2343.88409375
transcript.pyannote[58].end 2370.32721875
transcript.pyannote[59].speaker SPEAKER_07
transcript.pyannote[59].start 2370.96846875
transcript.pyannote[59].end 2402.86221875
transcript.pyannote[60].speaker SPEAKER_07
transcript.pyannote[60].start 2403.21659375
transcript.pyannote[60].end 2466.12659375
transcript.pyannote[61].speaker SPEAKER_07
transcript.pyannote[61].start 2467.49346875
transcript.pyannote[61].end 2508.43221875
transcript.pyannote[62].speaker SPEAKER_07
transcript.pyannote[62].start 2508.60096875
transcript.pyannote[62].end 2558.50034375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 2559.04034375
transcript.pyannote[63].end 2560.37346875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 2563.96784375
transcript.pyannote[64].end 2568.43971875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 2569.14846875
transcript.pyannote[65].end 2569.50284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 2569.73909375
transcript.pyannote[66].end 2582.68221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 2583.23909375
transcript.pyannote[67].end 2584.99409375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 2586.36096875
transcript.pyannote[68].end 2592.04784375
transcript.pyannote[69].speaker SPEAKER_07
transcript.pyannote[69].start 2603.23596875
transcript.pyannote[69].end 2605.21034375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 2607.53909375
transcript.pyannote[70].end 2608.36596875
transcript.pyannote[71].speaker SPEAKER_07
transcript.pyannote[71].start 2612.98971875
transcript.pyannote[71].end 2660.49284375
transcript.pyannote[72].speaker SPEAKER_07
transcript.pyannote[72].start 2660.77971875
transcript.pyannote[72].end 2663.32784375
transcript.pyannote[73].speaker SPEAKER_07
transcript.pyannote[73].start 2663.42909375
transcript.pyannote[73].end 2664.37409375
transcript.pyannote[74].speaker SPEAKER_07
transcript.pyannote[74].start 2664.66096875
transcript.pyannote[74].end 2673.60471875
transcript.pyannote[75].speaker SPEAKER_07
transcript.pyannote[75].start 2673.77346875
transcript.pyannote[75].end 2677.40159375
transcript.pyannote[76].speaker SPEAKER_07
transcript.pyannote[76].start 2677.53659375
transcript.pyannote[76].end 2766.24846875
transcript.pyannote[77].speaker SPEAKER_06
transcript.pyannote[77].start 2749.30596875
transcript.pyannote[77].end 2749.47471875
transcript.pyannote[78].speaker SPEAKER_11
transcript.pyannote[78].start 2749.47471875
transcript.pyannote[78].end 2749.49159375
transcript.pyannote[79].speaker SPEAKER_06
transcript.pyannote[79].start 2749.49159375
transcript.pyannote[79].end 2749.52534375
transcript.pyannote[80].speaker SPEAKER_11
transcript.pyannote[80].start 2756.84909375
transcript.pyannote[80].end 2756.89971875
transcript.pyannote[81].speaker SPEAKER_07
transcript.pyannote[81].start 2766.40034375
transcript.pyannote[81].end 2798.85096875
transcript.pyannote[82].speaker SPEAKER_07
transcript.pyannote[82].start 2799.32346875
transcript.pyannote[82].end 3063.51846875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 2821.93596875
transcript.pyannote[83].end 2822.35784375
transcript.pyannote[84].speaker SPEAKER_11
transcript.pyannote[84].start 2904.87659375
transcript.pyannote[84].end 2905.51784375
transcript.pyannote[85].speaker SPEAKER_08
transcript.pyannote[85].start 2946.13596875
transcript.pyannote[85].end 2946.70971875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 2946.70971875
transcript.pyannote[86].end 2946.91221875
transcript.pyannote[87].speaker SPEAKER_08
transcript.pyannote[87].start 2946.91221875
transcript.pyannote[87].end 2947.11471875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 2947.11471875
transcript.pyannote[88].end 2947.14846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 2958.13409375
transcript.pyannote[89].end 2960.53034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 2961.72846875
transcript.pyannote[90].end 2962.58909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 2962.90971875
transcript.pyannote[91].end 2963.02784375
transcript.pyannote[92].speaker SPEAKER_08
transcript.pyannote[92].start 2963.02784375
transcript.pyannote[92].end 2963.07846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 2963.07846875
transcript.pyannote[93].end 2963.11221875
transcript.pyannote[94].speaker SPEAKER_08
transcript.pyannote[94].start 2963.11221875
transcript.pyannote[94].end 2963.23034375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 2963.23034375
transcript.pyannote[95].end 2963.43284375
transcript.pyannote[96].speaker SPEAKER_11
transcript.pyannote[96].start 3061.74659375
transcript.pyannote[96].end 3064.12596875
transcript.pyannote[97].speaker SPEAKER_07
transcript.pyannote[97].start 3063.56909375
transcript.pyannote[97].end 3119.54346875
transcript.pyannote[98].speaker SPEAKER_11
transcript.pyannote[98].start 3065.27346875
transcript.pyannote[98].end 3065.81346875
transcript.pyannote[99].speaker SPEAKER_11
transcript.pyannote[99].start 3071.73659375
transcript.pyannote[99].end 3071.83784375
transcript.pyannote[100].speaker SPEAKER_11
transcript.pyannote[100].start 3075.14534375
transcript.pyannote[100].end 3075.88784375
transcript.pyannote[101].speaker SPEAKER_11
transcript.pyannote[101].start 3077.72721875
transcript.pyannote[101].end 3078.06471875
transcript.pyannote[102].speaker SPEAKER_11
transcript.pyannote[102].start 3078.60471875
transcript.pyannote[102].end 3079.75221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 3079.75221875
transcript.pyannote[103].end 3079.78596875
transcript.pyannote[104].speaker SPEAKER_07
transcript.pyannote[104].start 3119.74596875
transcript.pyannote[104].end 3183.14534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 3136.16534375
transcript.pyannote[105].end 3137.56596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 3181.27221875
transcript.pyannote[106].end 3181.74471875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 3183.14534375
transcript.pyannote[107].end 3184.46159375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 3186.28409375
transcript.pyannote[108].end 3189.35534375
transcript.pyannote[109].speaker SPEAKER_13
transcript.pyannote[109].start 3195.78471875
transcript.pyannote[109].end 3202.24784375
transcript.pyannote[110].speaker SPEAKER_13
transcript.pyannote[110].start 3202.72034375
transcript.pyannote[110].end 3204.54284375
transcript.pyannote[111].speaker SPEAKER_13
transcript.pyannote[111].start 3204.62721875
transcript.pyannote[111].end 3205.25159375
transcript.pyannote[112].speaker SPEAKER_17
transcript.pyannote[112].start 3205.53846875
transcript.pyannote[112].end 3206.26409375
transcript.pyannote[113].speaker SPEAKER_13
transcript.pyannote[113].start 3206.97284375
transcript.pyannote[113].end 3208.05284375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 3208.05284375
transcript.pyannote[114].end 3209.03159375
transcript.pyannote[115].speaker SPEAKER_13
transcript.pyannote[115].start 3209.03159375
transcript.pyannote[115].end 3209.14971875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 3209.14971875
transcript.pyannote[116].end 3209.16659375
transcript.pyannote[117].speaker SPEAKER_07
transcript.pyannote[117].start 3215.42721875
transcript.pyannote[117].end 3215.96721875
transcript.pyannote[118].speaker SPEAKER_13
transcript.pyannote[118].start 3216.16971875
transcript.pyannote[118].end 3220.48971875
transcript.pyannote[119].speaker SPEAKER_13
transcript.pyannote[119].start 3220.60784375
transcript.pyannote[119].end 3224.06721875
transcript.pyannote[120].speaker SPEAKER_13
transcript.pyannote[120].start 3224.48909375
transcript.pyannote[120].end 3228.91034375
transcript.pyannote[121].speaker SPEAKER_13
transcript.pyannote[121].start 3229.31534375
transcript.pyannote[121].end 3296.57909375
transcript.pyannote[122].speaker SPEAKER_13
transcript.pyannote[122].start 3296.89971875
transcript.pyannote[122].end 3304.08846875
transcript.pyannote[123].speaker SPEAKER_13
transcript.pyannote[123].start 3304.59471875
transcript.pyannote[123].end 3310.02846875
transcript.pyannote[124].speaker SPEAKER_13
transcript.pyannote[124].start 3310.21409375
transcript.pyannote[124].end 3328.77659375
transcript.pyannote[125].speaker SPEAKER_13
transcript.pyannote[125].start 3329.23221875
transcript.pyannote[125].end 3330.70034375
transcript.pyannote[126].speaker SPEAKER_13
transcript.pyannote[126].start 3330.98721875
transcript.pyannote[126].end 3351.91221875
transcript.pyannote[127].speaker SPEAKER_13
transcript.pyannote[127].start 3352.01346875
transcript.pyannote[127].end 3355.03409375
transcript.pyannote[128].speaker SPEAKER_13
transcript.pyannote[128].start 3355.28721875
transcript.pyannote[128].end 3359.96159375
transcript.pyannote[129].speaker SPEAKER_13
transcript.pyannote[129].start 3360.01221875
transcript.pyannote[129].end 3365.90159375
transcript.pyannote[130].speaker SPEAKER_13
transcript.pyannote[130].start 3365.91846875
transcript.pyannote[130].end 3382.47284375
transcript.pyannote[131].speaker SPEAKER_07
transcript.pyannote[131].start 3383.02971875
transcript.pyannote[131].end 3385.07159375
transcript.pyannote[132].speaker SPEAKER_07
transcript.pyannote[132].start 3385.27409375
transcript.pyannote[132].end 3392.85096875
transcript.pyannote[133].speaker SPEAKER_13
transcript.pyannote[133].start 3390.67409375
transcript.pyannote[133].end 3390.70784375
transcript.pyannote[134].speaker SPEAKER_11
transcript.pyannote[134].start 3390.70784375
transcript.pyannote[134].end 3391.09596875
transcript.pyannote[135].speaker SPEAKER_07
transcript.pyannote[135].start 3393.10409375
transcript.pyannote[135].end 3395.46659375
transcript.pyannote[136].speaker SPEAKER_11
transcript.pyannote[136].start 3395.02784375
transcript.pyannote[136].end 3395.43284375
transcript.pyannote[137].speaker SPEAKER_07
transcript.pyannote[137].start 3395.66909375
transcript.pyannote[137].end 3402.68909375
transcript.pyannote[138].speaker SPEAKER_11
transcript.pyannote[138].start 3399.70221875
transcript.pyannote[138].end 3401.06909375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 3401.06909375
transcript.pyannote[139].end 3401.10284375
transcript.pyannote[140].speaker SPEAKER_07
transcript.pyannote[140].start 3402.85784375
transcript.pyannote[140].end 3411.83534375
transcript.pyannote[141].speaker SPEAKER_07
transcript.pyannote[141].start 3412.24034375
transcript.pyannote[141].end 3418.75409375
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 3417.99471875
transcript.pyannote[142].end 3419.17596875
transcript.pyannote[143].speaker SPEAKER_07
transcript.pyannote[143].start 3419.17596875
transcript.pyannote[143].end 3419.36159375
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 3419.36159375
transcript.pyannote[144].end 3419.42909375
transcript.pyannote[145].speaker SPEAKER_07
transcript.pyannote[145].start 3419.42909375
transcript.pyannote[145].end 3419.46284375
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 3419.46284375
transcript.pyannote[146].end 3419.47971875
transcript.pyannote[147].speaker SPEAKER_10
transcript.pyannote[147].start 3419.59784375
transcript.pyannote[147].end 3424.33971875
transcript.pyannote[148].speaker SPEAKER_11
transcript.pyannote[148].start 3424.33971875
transcript.pyannote[148].end 3424.50846875
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 3424.50846875
transcript.pyannote[149].end 3425.70659375
transcript.pyannote[150].speaker SPEAKER_11
transcript.pyannote[150].start 3424.55909375
transcript.pyannote[150].end 3424.57596875
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 3426.02721875
transcript.pyannote[151].end 3433.26659375
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 3433.51971875
transcript.pyannote[152].end 3440.69159375
transcript.pyannote[153].speaker SPEAKER_13
transcript.pyannote[153].start 3439.88159375
transcript.pyannote[153].end 3441.02909375
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 3440.94471875
transcript.pyannote[154].end 3443.91471875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 3444.06659375
transcript.pyannote[155].end 3448.42034375
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 3448.70721875
transcript.pyannote[156].end 3452.45346875
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 3452.58846875
transcript.pyannote[157].end 3464.08034375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 3464.29971875
transcript.pyannote[158].end 3468.97409375
transcript.pyannote[159].speaker SPEAKER_13
transcript.pyannote[159].start 3464.70471875
transcript.pyannote[159].end 3464.73846875
transcript.pyannote[160].speaker SPEAKER_11
transcript.pyannote[160].start 3464.73846875
transcript.pyannote[160].end 3465.02534375
transcript.pyannote[161].speaker SPEAKER_13
transcript.pyannote[161].start 3465.02534375
transcript.pyannote[161].end 3466.59471875
transcript.pyannote[162].speaker SPEAKER_13
transcript.pyannote[162].start 3466.61159375
transcript.pyannote[162].end 3466.62846875
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 3469.15971875
transcript.pyannote[163].end 3472.26471875
transcript.pyannote[164].speaker SPEAKER_13
transcript.pyannote[164].start 3472.26471875
transcript.pyannote[164].end 3474.61034375
transcript.pyannote[165].speaker SPEAKER_10
transcript.pyannote[165].start 3475.06596875
transcript.pyannote[165].end 3475.74096875
transcript.pyannote[166].speaker SPEAKER_10
transcript.pyannote[166].start 3476.46659375
transcript.pyannote[166].end 3481.95096875
transcript.pyannote[167].speaker SPEAKER_10
transcript.pyannote[167].start 3482.27159375
transcript.pyannote[167].end 3493.78034375
transcript.pyannote[168].speaker SPEAKER_10
transcript.pyannote[168].start 3494.15159375
transcript.pyannote[168].end 3497.03721875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 3494.18534375
transcript.pyannote[169].end 3494.20221875
transcript.pyannote[170].speaker SPEAKER_13
transcript.pyannote[170].start 3494.20221875
transcript.pyannote[170].end 3494.59034375
transcript.pyannote[171].speaker SPEAKER_13
transcript.pyannote[171].start 3497.03721875
transcript.pyannote[171].end 3501.71159375
transcript.pyannote[172].speaker SPEAKER_13
transcript.pyannote[172].start 3501.86346875
transcript.pyannote[172].end 3503.82096875
transcript.pyannote[173].speaker SPEAKER_13
transcript.pyannote[173].start 3504.09096875
transcript.pyannote[173].end 3512.96721875
transcript.pyannote[174].speaker SPEAKER_11
transcript.pyannote[174].start 3512.30909375
transcript.pyannote[174].end 3513.22034375
transcript.pyannote[175].speaker SPEAKER_13
transcript.pyannote[175].start 3513.03471875
transcript.pyannote[175].end 3517.57409375
transcript.pyannote[176].speaker SPEAKER_13
transcript.pyannote[176].start 3517.87784375
transcript.pyannote[176].end 3518.55284375
transcript.pyannote[177].speaker SPEAKER_13
transcript.pyannote[177].start 3518.70471875
transcript.pyannote[177].end 3530.56784375
transcript.pyannote[178].speaker SPEAKER_13
transcript.pyannote[178].start 3530.97284375
transcript.pyannote[178].end 3547.67909375
transcript.pyannote[179].speaker SPEAKER_13
transcript.pyannote[179].start 3547.93221875
transcript.pyannote[179].end 3595.14846875
transcript.pyannote[180].speaker SPEAKER_13
transcript.pyannote[180].start 3596.19471875
transcript.pyannote[180].end 3597.02159375
transcript.pyannote[181].speaker SPEAKER_07
transcript.pyannote[181].start 3596.73471875
transcript.pyannote[181].end 3610.55534375
transcript.pyannote[182].speaker SPEAKER_07
transcript.pyannote[182].start 3610.74096875
transcript.pyannote[182].end 3612.25971875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 3611.16284375
transcript.pyannote[183].end 3611.70284375
transcript.pyannote[184].speaker SPEAKER_07
transcript.pyannote[184].start 3612.41159375
transcript.pyannote[184].end 3621.86159375
transcript.pyannote[185].speaker SPEAKER_13
transcript.pyannote[185].start 3621.86159375
transcript.pyannote[185].end 3622.18221875
transcript.pyannote[186].speaker SPEAKER_07
transcript.pyannote[186].start 3622.03034375
transcript.pyannote[186].end 3625.27034375
transcript.pyannote[187].speaker SPEAKER_13
transcript.pyannote[187].start 3625.16909375
transcript.pyannote[187].end 3625.91159375
transcript.pyannote[188].speaker SPEAKER_13
transcript.pyannote[188].start 3627.05909375
transcript.pyannote[188].end 3628.96596875
transcript.pyannote[189].speaker SPEAKER_07
transcript.pyannote[189].start 3628.12221875
transcript.pyannote[189].end 3628.27409375
transcript.pyannote[190].speaker SPEAKER_11
transcript.pyannote[190].start 3629.13471875
transcript.pyannote[190].end 3629.16846875
transcript.pyannote[191].speaker SPEAKER_13
transcript.pyannote[191].start 3629.16846875
transcript.pyannote[191].end 3629.97846875
transcript.pyannote[192].speaker SPEAKER_12
transcript.pyannote[192].start 3629.97846875
transcript.pyannote[192].end 3630.02909375
transcript.pyannote[193].speaker SPEAKER_11
transcript.pyannote[193].start 3630.02909375
transcript.pyannote[193].end 3630.31596875
transcript.pyannote[194].speaker SPEAKER_13
transcript.pyannote[194].start 3630.28221875
transcript.pyannote[194].end 3653.29971875
transcript.pyannote[195].speaker SPEAKER_07
transcript.pyannote[195].start 3630.31596875
transcript.pyannote[195].end 3630.60284375
transcript.pyannote[196].speaker SPEAKER_12
transcript.pyannote[196].start 3630.60284375
transcript.pyannote[196].end 3630.70409375
transcript.pyannote[197].speaker SPEAKER_13
transcript.pyannote[197].start 3653.53596875
transcript.pyannote[197].end 3659.17221875
transcript.pyannote[198].speaker SPEAKER_12
transcript.pyannote[198].start 3659.96534375
transcript.pyannote[198].end 3665.17971875
transcript.pyannote[199].speaker SPEAKER_12
transcript.pyannote[199].start 3665.48346875
transcript.pyannote[199].end 3669.48284375
transcript.pyannote[200].speaker SPEAKER_12
transcript.pyannote[200].start 3669.75284375
transcript.pyannote[200].end 3671.27159375
transcript.pyannote[201].speaker SPEAKER_12
transcript.pyannote[201].start 3671.57534375
transcript.pyannote[201].end 3674.89971875
transcript.pyannote[202].speaker SPEAKER_12
transcript.pyannote[202].start 3675.16971875
transcript.pyannote[202].end 3677.61659375
transcript.pyannote[203].speaker SPEAKER_12
transcript.pyannote[203].start 3677.73471875
transcript.pyannote[203].end 3680.04659375
transcript.pyannote[204].speaker SPEAKER_12
transcript.pyannote[204].start 3680.38409375
transcript.pyannote[204].end 3682.30784375
transcript.pyannote[205].speaker SPEAKER_12
transcript.pyannote[205].start 3682.57784375
transcript.pyannote[205].end 3685.05846875
transcript.pyannote[206].speaker SPEAKER_12
transcript.pyannote[206].start 3685.14284375
transcript.pyannote[206].end 3687.10034375
transcript.pyannote[207].speaker SPEAKER_13
transcript.pyannote[207].start 3687.80909375
transcript.pyannote[207].end 3730.38471875
transcript.pyannote[208].speaker SPEAKER_12
transcript.pyannote[208].start 3692.50034375
transcript.pyannote[208].end 3693.25971875
transcript.pyannote[209].speaker SPEAKER_13
transcript.pyannote[209].start 3731.24534375
transcript.pyannote[209].end 3732.64596875
transcript.pyannote[210].speaker SPEAKER_13
transcript.pyannote[210].start 3733.08471875
transcript.pyannote[210].end 3750.36471875
transcript.pyannote[211].speaker SPEAKER_13
transcript.pyannote[211].start 3751.02284375
transcript.pyannote[211].end 3754.16159375
transcript.pyannote[212].speaker SPEAKER_13
transcript.pyannote[212].start 3754.76909375
transcript.pyannote[212].end 3762.61596875
transcript.pyannote[213].speaker SPEAKER_07
transcript.pyannote[213].start 3762.70034375
transcript.pyannote[213].end 3775.10346875
transcript.pyannote[214].speaker SPEAKER_07
transcript.pyannote[214].start 3775.28909375
transcript.pyannote[214].end 3780.48659375
transcript.pyannote[215].speaker SPEAKER_07
transcript.pyannote[215].start 3780.70596875
transcript.pyannote[215].end 3782.71409375
transcript.pyannote[216].speaker SPEAKER_07
transcript.pyannote[216].start 3783.00096875
transcript.pyannote[216].end 3786.91596875
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 3787.05096875
transcript.pyannote[217].end 3795.04971875
transcript.pyannote[218].speaker SPEAKER_07
transcript.pyannote[218].start 3795.25221875
transcript.pyannote[218].end 3799.47096875
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 3799.62284375
transcript.pyannote[219].end 3810.91221875
transcript.pyannote[220].speaker SPEAKER_13
transcript.pyannote[220].start 3811.57034375
transcript.pyannote[220].end 3811.97534375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 3811.97534375
transcript.pyannote[221].end 3814.32096875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 3814.62471875
transcript.pyannote[222].end 3816.02534375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 3818.32034375
transcript.pyannote[223].end 3821.76284375
transcript.pyannote[224].speaker SPEAKER_07
transcript.pyannote[224].start 3825.79596875
transcript.pyannote[224].end 3828.34409375
transcript.pyannote[225].speaker SPEAKER_07
transcript.pyannote[225].start 3828.78284375
transcript.pyannote[225].end 3831.43221875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 3831.83721875
transcript.pyannote[226].end 3832.86659375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 3834.84096875
transcript.pyannote[227].end 3835.33034375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 3835.46534375
transcript.pyannote[228].end 3836.17409375
transcript.pyannote[229].speaker SPEAKER_07
transcript.pyannote[229].start 3838.90784375
transcript.pyannote[229].end 3841.33784375
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 3841.45596875
transcript.pyannote[230].end 3844.27409375
transcript.pyannote[231].speaker SPEAKER_07
transcript.pyannote[231].start 3844.44284375
transcript.pyannote[231].end 3864.57471875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 3852.39096875
transcript.pyannote[232].end 3853.31909375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 3857.09909375
transcript.pyannote[233].end 3857.60534375
transcript.pyannote[234].speaker SPEAKER_07
transcript.pyannote[234].start 3864.94596875
transcript.pyannote[234].end 3865.70534375
transcript.pyannote[235].speaker SPEAKER_07
transcript.pyannote[235].start 3865.99221875
transcript.pyannote[235].end 3898.84784375
transcript.pyannote[236].speaker SPEAKER_07
transcript.pyannote[236].start 3899.18534375
transcript.pyannote[236].end 3909.88409375
transcript.pyannote[237].speaker SPEAKER_07
transcript.pyannote[237].start 3910.42409375
transcript.pyannote[237].end 3915.65534375
transcript.pyannote[238].speaker SPEAKER_07
transcript.pyannote[238].start 3915.84096875
transcript.pyannote[238].end 3956.89784375
transcript.pyannote[239].speaker SPEAKER_07
transcript.pyannote[239].start 3957.80909375
transcript.pyannote[239].end 3963.12471875
transcript.pyannote[240].speaker SPEAKER_07
transcript.pyannote[240].start 3963.37784375
transcript.pyannote[240].end 3969.38534375
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 3969.63846875
transcript.pyannote[241].end 3978.36284375
transcript.pyannote[242].speaker SPEAKER_17
transcript.pyannote[242].start 3979.59471875
transcript.pyannote[242].end 3994.00596875
transcript.pyannote[243].speaker SPEAKER_07
transcript.pyannote[243].start 3991.08659375
transcript.pyannote[243].end 3994.84971875
transcript.pyannote[244].speaker SPEAKER_17
transcript.pyannote[244].start 3994.54596875
transcript.pyannote[244].end 3995.00159375
transcript.pyannote[245].speaker SPEAKER_07
transcript.pyannote[245].start 3995.00159375
transcript.pyannote[245].end 3995.03534375
transcript.pyannote[246].speaker SPEAKER_17
transcript.pyannote[246].start 3995.03534375
transcript.pyannote[246].end 3995.22096875
transcript.pyannote[247].speaker SPEAKER_07
transcript.pyannote[247].start 3995.22096875
transcript.pyannote[247].end 3995.33909375
transcript.pyannote[248].speaker SPEAKER_17
transcript.pyannote[248].start 3995.33909375
transcript.pyannote[248].end 4007.33721875
transcript.pyannote[249].speaker SPEAKER_07
transcript.pyannote[249].start 3995.52471875
transcript.pyannote[249].end 3996.62159375
transcript.pyannote[250].speaker SPEAKER_16
transcript.pyannote[250].start 4001.12721875
transcript.pyannote[250].end 4001.14409375
transcript.pyannote[251].speaker SPEAKER_07
transcript.pyannote[251].start 4001.14409375
transcript.pyannote[251].end 4002.52784375
transcript.pyannote[252].speaker SPEAKER_07
transcript.pyannote[252].start 4007.06721875
transcript.pyannote[252].end 4081.08096875
transcript.pyannote[253].speaker SPEAKER_17
transcript.pyannote[253].start 4010.44221875
transcript.pyannote[253].end 4011.87659375
transcript.pyannote[254].speaker SPEAKER_07
transcript.pyannote[254].start 4081.65471875
transcript.pyannote[254].end 4119.57284375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 4117.68284375
transcript.pyannote[255].end 4119.43784375
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 4120.06221875
transcript.pyannote[256].end 4125.88409375
transcript.pyannote[257].speaker SPEAKER_07
transcript.pyannote[257].start 4127.72346875
transcript.pyannote[257].end 4142.57346875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 4129.56284375
transcript.pyannote[258].end 4130.03534375
transcript.pyannote[259].speaker SPEAKER_11
transcript.pyannote[259].start 4130.03534375
transcript.pyannote[259].end 4130.64284375
transcript.pyannote[260].speaker SPEAKER_11
transcript.pyannote[260].start 4131.68909375
transcript.pyannote[260].end 4132.68471875
transcript.pyannote[261].speaker SPEAKER_07
transcript.pyannote[261].start 4142.59034375
transcript.pyannote[261].end 4163.59971875
transcript.pyannote[262].speaker SPEAKER_11
transcript.pyannote[262].start 4150.80846875
transcript.pyannote[262].end 4151.63534375
transcript.pyannote[263].speaker SPEAKER_07
transcript.pyannote[263].start 4163.68409375
transcript.pyannote[263].end 4178.73659375
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 4163.95409375
transcript.pyannote[264].end 4164.22409375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 4166.40096875
transcript.pyannote[265].end 4166.95784375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 4168.08846875
transcript.pyannote[266].end 4169.28659375
transcript.pyannote[267].speaker SPEAKER_11
transcript.pyannote[267].start 4173.11721875
transcript.pyannote[267].end 4175.29409375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 4186.83659375
transcript.pyannote[268].end 4187.35971875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 4187.41034375
transcript.pyannote[269].end 4187.42721875
transcript.pyannote[270].speaker SPEAKER_07
transcript.pyannote[270].start 4187.42721875
transcript.pyannote[270].end 4192.00034375
transcript.pyannote[271].speaker SPEAKER_07
transcript.pyannote[271].start 4192.92846875
transcript.pyannote[271].end 4226.15534375
transcript.pyannote[272].speaker SPEAKER_07
transcript.pyannote[272].start 4226.22284375
transcript.pyannote[272].end 4229.14221875
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 4229.47971875
transcript.pyannote[273].end 4260.42846875
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 4261.28909375
transcript.pyannote[274].end 4263.24659375
transcript.pyannote[275].speaker SPEAKER_07
transcript.pyannote[275].start 4264.47846875
transcript.pyannote[275].end 4265.64284375
transcript.pyannote[276].speaker SPEAKER_07
transcript.pyannote[276].start 4265.87909375
transcript.pyannote[276].end 4290.48284375
transcript.pyannote[277].speaker SPEAKER_07
transcript.pyannote[277].start 4290.70221875
transcript.pyannote[277].end 4294.16159375
transcript.pyannote[278].speaker SPEAKER_07
transcript.pyannote[278].start 4294.36409375
transcript.pyannote[278].end 4299.98346875
transcript.pyannote[279].speaker SPEAKER_07
transcript.pyannote[279].start 4300.37159375
transcript.pyannote[279].end 4301.62034375
transcript.pyannote[280].speaker SPEAKER_07
transcript.pyannote[280].start 4302.07596875
transcript.pyannote[280].end 4375.80284375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 4312.99409375
transcript.pyannote[281].end 4314.15846875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 4315.25534375
transcript.pyannote[282].end 4316.13284375
transcript.pyannote[283].speaker SPEAKER_06
transcript.pyannote[283].start 4320.62159375
transcript.pyannote[283].end 4320.95909375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 4320.95909375
transcript.pyannote[284].end 4322.24159375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 4329.95346875
transcript.pyannote[285].end 4332.19784375
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 4336.28159375
transcript.pyannote[286].end 4336.92284375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 4339.57221875
transcript.pyannote[287].end 4339.97721875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 4344.44909375
transcript.pyannote[288].end 4346.28846875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 4362.18471875
transcript.pyannote[289].end 4362.92721875
transcript.pyannote[290].speaker SPEAKER_11
transcript.pyannote[290].start 4363.77096875
transcript.pyannote[290].end 4364.66534375
transcript.pyannote[291].speaker SPEAKER_11
transcript.pyannote[291].start 4374.46971875
transcript.pyannote[291].end 4374.50346875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 4377.70971875
transcript.pyannote[292].end 4378.36784375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 4379.85284375
transcript.pyannote[293].end 4382.70471875
transcript.pyannote[294].speaker SPEAKER_07
transcript.pyannote[294].start 4381.74284375
transcript.pyannote[294].end 4382.29971875
transcript.pyannote[295].speaker SPEAKER_09
transcript.pyannote[295].start 4388.86409375
transcript.pyannote[295].end 4391.02409375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 4391.19284375
transcript.pyannote[296].end 4392.15471875
transcript.pyannote[297].speaker SPEAKER_09
transcript.pyannote[297].start 4398.66846875
transcript.pyannote[297].end 4402.16159375
transcript.pyannote[298].speaker SPEAKER_09
transcript.pyannote[298].start 4402.61721875
transcript.pyannote[298].end 4409.41784375
transcript.pyannote[299].speaker SPEAKER_09
transcript.pyannote[299].start 4410.27846875
transcript.pyannote[299].end 4413.13034375
transcript.pyannote[300].speaker SPEAKER_09
transcript.pyannote[300].start 4413.94034375
transcript.pyannote[300].end 4416.96096875
transcript.pyannote[301].speaker SPEAKER_09
transcript.pyannote[301].start 4417.46721875
transcript.pyannote[301].end 4423.15409375
transcript.pyannote[302].speaker SPEAKER_09
transcript.pyannote[302].start 4423.87971875
transcript.pyannote[302].end 4428.60471875
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 4429.11096875
transcript.pyannote[303].end 4430.89971875
transcript.pyannote[304].speaker SPEAKER_09
transcript.pyannote[304].start 4431.32159375
transcript.pyannote[304].end 4434.79784375
transcript.pyannote[305].speaker SPEAKER_09
transcript.pyannote[305].start 4435.72596875
transcript.pyannote[305].end 4438.03784375
transcript.pyannote[306].speaker SPEAKER_09
transcript.pyannote[306].start 4438.99971875
transcript.pyannote[306].end 4441.10909375
transcript.pyannote[307].speaker SPEAKER_09
transcript.pyannote[307].start 4441.73346875
transcript.pyannote[307].end 4443.18471875
transcript.pyannote[308].speaker SPEAKER_09
transcript.pyannote[308].start 4443.82596875
transcript.pyannote[308].end 4446.18846875
transcript.pyannote[309].speaker SPEAKER_09
transcript.pyannote[309].start 4446.76221875
transcript.pyannote[309].end 4450.60971875
transcript.pyannote[310].speaker SPEAKER_09
transcript.pyannote[310].start 4451.16659375
transcript.pyannote[310].end 4453.07346875
transcript.pyannote[311].speaker SPEAKER_09
transcript.pyannote[311].start 4453.39409375
transcript.pyannote[311].end 4454.65971875
transcript.pyannote[312].speaker SPEAKER_09
transcript.pyannote[312].start 4455.65534375
transcript.pyannote[312].end 4459.70534375
transcript.pyannote[313].speaker SPEAKER_09
transcript.pyannote[313].start 4460.21159375
transcript.pyannote[313].end 4463.18159375
transcript.pyannote[314].speaker SPEAKER_09
transcript.pyannote[314].start 4463.68784375
transcript.pyannote[314].end 4464.64971875
transcript.pyannote[315].speaker SPEAKER_09
transcript.pyannote[315].start 4465.47659375
transcript.pyannote[315].end 4466.33721875
transcript.pyannote[316].speaker SPEAKER_09
transcript.pyannote[316].start 4466.84346875
transcript.pyannote[316].end 4469.59409375
transcript.pyannote[317].speaker SPEAKER_09
transcript.pyannote[317].start 4470.26909375
transcript.pyannote[317].end 4471.02846875
transcript.pyannote[318].speaker SPEAKER_09
transcript.pyannote[318].start 4471.24784375
transcript.pyannote[318].end 4472.53034375
transcript.pyannote[319].speaker SPEAKER_09
transcript.pyannote[319].start 4472.63159375
transcript.pyannote[319].end 4473.96471875
transcript.pyannote[320].speaker SPEAKER_09
transcript.pyannote[320].start 4474.58909375
transcript.pyannote[320].end 4475.14596875
transcript.pyannote[321].speaker SPEAKER_09
transcript.pyannote[321].start 4475.33159375
transcript.pyannote[321].end 4477.00221875
transcript.pyannote[322].speaker SPEAKER_09
transcript.pyannote[322].start 4477.44096875
transcript.pyannote[322].end 4478.03159375
transcript.pyannote[323].speaker SPEAKER_09
transcript.pyannote[323].start 4478.97659375
transcript.pyannote[323].end 4481.59221875
transcript.pyannote[324].speaker SPEAKER_09
transcript.pyannote[324].start 4481.79471875
transcript.pyannote[324].end 4482.95909375
transcript.pyannote[325].speaker SPEAKER_09
transcript.pyannote[325].start 4483.80284375
transcript.pyannote[325].end 4485.42284375
transcript.pyannote[326].speaker SPEAKER_09
transcript.pyannote[326].start 4485.69284375
transcript.pyannote[326].end 4487.80221875
transcript.pyannote[327].speaker SPEAKER_09
transcript.pyannote[327].start 4488.27471875
transcript.pyannote[327].end 4489.10159375
transcript.pyannote[328].speaker SPEAKER_09
transcript.pyannote[328].start 4489.47284375
transcript.pyannote[328].end 4490.02971875
transcript.pyannote[329].speaker SPEAKER_09
transcript.pyannote[329].start 4490.21534375
transcript.pyannote[329].end 4491.88596875
transcript.pyannote[330].speaker SPEAKER_09
transcript.pyannote[330].start 4492.18971875
transcript.pyannote[330].end 4494.40034375
transcript.pyannote[331].speaker SPEAKER_09
transcript.pyannote[331].start 4494.95721875
transcript.pyannote[331].end 4496.56034375
transcript.pyannote[332].speaker SPEAKER_09
transcript.pyannote[332].start 4497.04971875
transcript.pyannote[332].end 4499.71596875
transcript.pyannote[333].speaker SPEAKER_09
transcript.pyannote[333].start 4500.52596875
transcript.pyannote[333].end 4504.59284375
transcript.pyannote[334].speaker SPEAKER_09
transcript.pyannote[334].start 4505.09909375
transcript.pyannote[334].end 4506.21284375
transcript.pyannote[335].speaker SPEAKER_09
transcript.pyannote[335].start 4506.58409375
transcript.pyannote[335].end 4509.48659375
transcript.pyannote[336].speaker SPEAKER_09
transcript.pyannote[336].start 4510.09409375
transcript.pyannote[336].end 4511.20784375
transcript.pyannote[337].speaker SPEAKER_09
transcript.pyannote[337].start 4511.74784375
transcript.pyannote[337].end 4512.97971875
transcript.pyannote[338].speaker SPEAKER_09
transcript.pyannote[338].start 4513.95846875
transcript.pyannote[338].end 4516.20284375
transcript.pyannote[339].speaker SPEAKER_09
transcript.pyannote[339].start 4516.77659375
transcript.pyannote[339].end 4519.96596875
transcript.pyannote[340].speaker SPEAKER_09
transcript.pyannote[340].start 4520.74221875
transcript.pyannote[340].end 4524.96096875
transcript.pyannote[341].speaker SPEAKER_09
transcript.pyannote[341].start 4525.75409375
transcript.pyannote[341].end 4527.23909375
transcript.pyannote[342].speaker SPEAKER_07
transcript.pyannote[342].start 4527.23909375
transcript.pyannote[342].end 4527.25596875
transcript.pyannote[343].speaker SPEAKER_07
transcript.pyannote[343].start 4528.52159375
transcript.pyannote[343].end 4531.12034375
transcript.pyannote[344].speaker SPEAKER_07
transcript.pyannote[344].start 4531.15409375
transcript.pyannote[344].end 4531.18784375
transcript.pyannote[345].speaker SPEAKER_12
transcript.pyannote[345].start 4531.49159375
transcript.pyannote[345].end 4532.79096875
transcript.pyannote[346].speaker SPEAKER_07
transcript.pyannote[346].start 4531.81221875
transcript.pyannote[346].end 4532.18346875
transcript.pyannote[347].speaker SPEAKER_09
transcript.pyannote[347].start 4532.18346875
transcript.pyannote[347].end 4532.21721875
transcript.pyannote[348].speaker SPEAKER_07
transcript.pyannote[348].start 4533.95534375
transcript.pyannote[348].end 4535.20409375
transcript.pyannote[349].speaker SPEAKER_07
transcript.pyannote[349].start 4536.60471875
transcript.pyannote[349].end 4536.63846875
transcript.pyannote[350].speaker SPEAKER_09
transcript.pyannote[350].start 4536.63846875
transcript.pyannote[350].end 4538.66346875
transcript.pyannote[351].speaker SPEAKER_09
transcript.pyannote[351].start 4539.35534375
transcript.pyannote[351].end 4541.02596875
transcript.pyannote[352].speaker SPEAKER_09
transcript.pyannote[352].start 4541.14409375
transcript.pyannote[352].end 4541.71784375
transcript.pyannote[353].speaker SPEAKER_09
transcript.pyannote[353].start 4542.12284375
transcript.pyannote[353].end 4544.36721875
transcript.pyannote[354].speaker SPEAKER_09
transcript.pyannote[354].start 4545.12659375
transcript.pyannote[354].end 4545.95346875
transcript.pyannote[355].speaker SPEAKER_09
transcript.pyannote[355].start 4546.42596875
transcript.pyannote[355].end 4548.43409375
transcript.pyannote[356].speaker SPEAKER_09
transcript.pyannote[356].start 4549.29471875
transcript.pyannote[356].end 4552.45034375
transcript.pyannote[357].speaker SPEAKER_09
transcript.pyannote[357].start 4552.53471875
transcript.pyannote[357].end 4554.86346875
transcript.pyannote[358].speaker SPEAKER_09
transcript.pyannote[358].start 4556.44971875
transcript.pyannote[358].end 4557.56346875
transcript.pyannote[359].speaker SPEAKER_09
transcript.pyannote[359].start 4557.88409375
transcript.pyannote[359].end 4558.79534375
transcript.pyannote[360].speaker SPEAKER_09
transcript.pyannote[360].start 4559.43659375
transcript.pyannote[360].end 4563.80721875
transcript.pyannote[361].speaker SPEAKER_09
transcript.pyannote[361].start 4564.39784375
transcript.pyannote[361].end 4565.05596875
transcript.pyannote[362].speaker SPEAKER_07
transcript.pyannote[362].start 4565.05596875
transcript.pyannote[362].end 4565.07284375
transcript.pyannote[363].speaker SPEAKER_09
transcript.pyannote[363].start 4566.28784375
transcript.pyannote[363].end 4566.30471875
transcript.pyannote[364].speaker SPEAKER_07
transcript.pyannote[364].start 4566.30471875
transcript.pyannote[364].end 4605.04971875
transcript.pyannote[365].speaker SPEAKER_09
transcript.pyannote[365].start 4569.03846875
transcript.pyannote[365].end 4569.34221875
transcript.pyannote[366].speaker SPEAKER_11
transcript.pyannote[366].start 4569.34221875
transcript.pyannote[366].end 4569.49409375
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 4569.49409375
transcript.pyannote[367].end 4569.69659375
transcript.pyannote[368].speaker SPEAKER_09
transcript.pyannote[368].start 4587.01034375
transcript.pyannote[368].end 4587.39846875
transcript.pyannote[369].speaker SPEAKER_00
transcript.pyannote[369].start 4597.15221875
transcript.pyannote[369].end 4597.54034375
transcript.pyannote[370].speaker SPEAKER_07
transcript.pyannote[370].start 4605.11721875
transcript.pyannote[370].end 4651.47284375
transcript.pyannote[371].speaker SPEAKER_00
transcript.pyannote[371].start 4638.39471875
transcript.pyannote[371].end 4638.95159375
transcript.pyannote[372].speaker SPEAKER_07
transcript.pyannote[372].start 4651.75971875
transcript.pyannote[372].end 4651.96221875
transcript.pyannote[373].speaker SPEAKER_09
transcript.pyannote[373].start 4651.96221875
transcript.pyannote[373].end 4656.26534375
transcript.pyannote[374].speaker SPEAKER_09
transcript.pyannote[374].start 4656.65346875
transcript.pyannote[374].end 4660.01159375
transcript.pyannote[375].speaker SPEAKER_09
transcript.pyannote[375].start 4660.28159375
transcript.pyannote[375].end 4660.99034375
transcript.pyannote[376].speaker SPEAKER_09
transcript.pyannote[376].start 4661.68221875
transcript.pyannote[376].end 4663.43721875
transcript.pyannote[377].speaker SPEAKER_09
transcript.pyannote[377].start 4663.63971875
transcript.pyannote[377].end 4667.62221875
transcript.pyannote[378].speaker SPEAKER_09
transcript.pyannote[378].start 4668.01034375
transcript.pyannote[378].end 4671.67221875
transcript.pyannote[379].speaker SPEAKER_09
transcript.pyannote[379].start 4672.51596875
transcript.pyannote[379].end 4675.41846875
transcript.pyannote[380].speaker SPEAKER_09
transcript.pyannote[380].start 4675.75596875
transcript.pyannote[380].end 4681.86471875
transcript.pyannote[381].speaker SPEAKER_09
transcript.pyannote[381].start 4682.06721875
transcript.pyannote[381].end 4686.84284375
transcript.pyannote[382].speaker SPEAKER_09
transcript.pyannote[382].start 4687.43346875
transcript.pyannote[382].end 4688.54721875
transcript.pyannote[383].speaker SPEAKER_09
transcript.pyannote[383].start 4689.59346875
transcript.pyannote[383].end 4691.92221875
transcript.pyannote[384].speaker SPEAKER_09
transcript.pyannote[384].start 4694.18346875
transcript.pyannote[384].end 4694.97659375
transcript.pyannote[385].speaker SPEAKER_09
transcript.pyannote[385].start 4695.29721875
transcript.pyannote[385].end 4699.49909375
transcript.pyannote[386].speaker SPEAKER_09
transcript.pyannote[386].start 4700.47784375
transcript.pyannote[386].end 4701.47346875
transcript.pyannote[387].speaker SPEAKER_09
transcript.pyannote[387].start 4701.76034375
transcript.pyannote[387].end 4703.44784375
transcript.pyannote[388].speaker SPEAKER_09
transcript.pyannote[388].start 4703.86971875
transcript.pyannote[388].end 4709.52284375
transcript.pyannote[389].speaker SPEAKER_09
transcript.pyannote[389].start 4710.02909375
transcript.pyannote[389].end 4711.49721875
transcript.pyannote[390].speaker SPEAKER_09
transcript.pyannote[390].start 4711.96971875
transcript.pyannote[390].end 4713.31971875
transcript.pyannote[391].speaker SPEAKER_09
transcript.pyannote[391].start 4713.45471875
transcript.pyannote[391].end 4716.15471875
transcript.pyannote[392].speaker SPEAKER_09
transcript.pyannote[392].start 4716.28971875
transcript.pyannote[392].end 4721.26784375
transcript.pyannote[393].speaker SPEAKER_09
transcript.pyannote[393].start 4722.17909375
transcript.pyannote[393].end 4724.38971875
transcript.pyannote[394].speaker SPEAKER_09
transcript.pyannote[394].start 4724.96346875
transcript.pyannote[394].end 4726.29659375
transcript.pyannote[395].speaker SPEAKER_09
transcript.pyannote[395].start 4727.15721875
transcript.pyannote[395].end 4727.57909375
transcript.pyannote[396].speaker SPEAKER_09
transcript.pyannote[396].start 4727.88284375
transcript.pyannote[396].end 4734.16034375
transcript.pyannote[397].speaker SPEAKER_09
transcript.pyannote[397].start 4734.26159375
transcript.pyannote[397].end 4735.66221875
transcript.pyannote[398].speaker SPEAKER_09
transcript.pyannote[398].start 4735.84784375
transcript.pyannote[398].end 4737.60284375
transcript.pyannote[399].speaker SPEAKER_09
transcript.pyannote[399].start 4738.07534375
transcript.pyannote[399].end 4739.45909375
transcript.pyannote[400].speaker SPEAKER_09
transcript.pyannote[400].start 4739.93159375
transcript.pyannote[400].end 4741.23096875
transcript.pyannote[401].speaker SPEAKER_09
transcript.pyannote[401].start 4741.63596875
transcript.pyannote[401].end 4742.56409375
transcript.pyannote[402].speaker SPEAKER_09
transcript.pyannote[402].start 4742.86784375
transcript.pyannote[402].end 4744.03221875
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 4744.21784375
transcript.pyannote[403].end 4745.17971875
transcript.pyannote[404].speaker SPEAKER_09
transcript.pyannote[404].start 4745.46659375
transcript.pyannote[404].end 4747.23846875
transcript.pyannote[405].speaker SPEAKER_09
transcript.pyannote[405].start 4747.42409375
transcript.pyannote[405].end 4749.17909375
transcript.pyannote[406].speaker SPEAKER_09
transcript.pyannote[406].start 4749.63471875
transcript.pyannote[406].end 4751.50784375
transcript.pyannote[407].speaker SPEAKER_09
transcript.pyannote[407].start 4751.99721875
transcript.pyannote[407].end 4753.49909375
transcript.pyannote[408].speaker SPEAKER_09
transcript.pyannote[408].start 4753.81971875
transcript.pyannote[408].end 4754.41034375
transcript.pyannote[409].speaker SPEAKER_09
transcript.pyannote[409].start 4755.32159375
transcript.pyannote[409].end 4757.75159375
transcript.pyannote[410].speaker SPEAKER_09
transcript.pyannote[410].start 4759.27034375
transcript.pyannote[410].end 4760.95784375
transcript.pyannote[411].speaker SPEAKER_09
transcript.pyannote[411].start 4762.71284375
transcript.pyannote[411].end 4766.13846875
transcript.pyannote[412].speaker SPEAKER_09
transcript.pyannote[412].start 4766.49284375
transcript.pyannote[412].end 4768.95659375
transcript.pyannote[413].speaker SPEAKER_09
transcript.pyannote[413].start 4769.53034375
transcript.pyannote[413].end 4770.98159375
transcript.pyannote[414].speaker SPEAKER_09
transcript.pyannote[414].start 4771.72409375
transcript.pyannote[414].end 4774.37346875
transcript.pyannote[415].speaker SPEAKER_09
transcript.pyannote[415].start 4775.58846875
transcript.pyannote[415].end 4776.70221875
transcript.pyannote[416].speaker SPEAKER_09
transcript.pyannote[416].start 4777.05659375
transcript.pyannote[416].end 4777.83284375
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 4778.50784375
transcript.pyannote[417].end 4780.92096875
transcript.pyannote[418].speaker SPEAKER_09
transcript.pyannote[418].start 4781.24159375
transcript.pyannote[418].end 4782.62534375
transcript.pyannote[419].speaker SPEAKER_09
transcript.pyannote[419].start 4783.65471875
transcript.pyannote[419].end 4785.02159375
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 4786.45596875
transcript.pyannote[420].end 4786.91159375
transcript.pyannote[421].speaker SPEAKER_09
transcript.pyannote[421].start 4787.40096875
transcript.pyannote[421].end 4789.18971875
transcript.pyannote[422].speaker SPEAKER_09
transcript.pyannote[422].start 4789.83096875
transcript.pyannote[422].end 4791.83909375
transcript.pyannote[423].speaker SPEAKER_09
transcript.pyannote[423].start 4792.51409375
transcript.pyannote[423].end 4794.11721875
transcript.pyannote[424].speaker SPEAKER_09
transcript.pyannote[424].start 4795.26471875
transcript.pyannote[424].end 4796.00721875
transcript.pyannote[425].speaker SPEAKER_09
transcript.pyannote[425].start 4796.34471875
transcript.pyannote[425].end 4798.87596875
transcript.pyannote[426].speaker SPEAKER_09
transcript.pyannote[426].start 4800.51284375
transcript.pyannote[426].end 4805.45721875
transcript.pyannote[427].speaker SPEAKER_09
transcript.pyannote[427].start 4806.06471875
transcript.pyannote[427].end 4808.56221875
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 4809.00096875
transcript.pyannote[428].end 4811.09346875
transcript.pyannote[429].speaker SPEAKER_09
transcript.pyannote[429].start 4811.43096875
transcript.pyannote[429].end 4813.11846875
transcript.pyannote[430].speaker SPEAKER_09
transcript.pyannote[430].start 4813.54034375
transcript.pyannote[430].end 4814.82284375
transcript.pyannote[431].speaker SPEAKER_09
transcript.pyannote[431].start 4815.32909375
transcript.pyannote[431].end 4817.67471875
transcript.pyannote[432].speaker SPEAKER_09
transcript.pyannote[432].start 4818.68721875
transcript.pyannote[432].end 4819.36221875
transcript.pyannote[433].speaker SPEAKER_09
transcript.pyannote[433].start 4820.81346875
transcript.pyannote[433].end 4823.88471875
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 4824.42471875
transcript.pyannote[434].end 4825.90971875
transcript.pyannote[435].speaker SPEAKER_09
transcript.pyannote[435].start 4826.09534375
transcript.pyannote[435].end 4827.00659375
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 4827.56346875
transcript.pyannote[436].end 4831.25909375
transcript.pyannote[437].speaker SPEAKER_09
transcript.pyannote[437].start 4831.61346875
transcript.pyannote[437].end 4832.84534375
transcript.pyannote[438].speaker SPEAKER_09
transcript.pyannote[438].start 4833.38534375
transcript.pyannote[438].end 4834.53284375
transcript.pyannote[439].speaker SPEAKER_09
transcript.pyannote[439].start 4835.19096875
transcript.pyannote[439].end 4836.32159375
transcript.pyannote[440].speaker SPEAKER_09
transcript.pyannote[440].start 4837.63784375
transcript.pyannote[440].end 4839.46034375
transcript.pyannote[441].speaker SPEAKER_09
transcript.pyannote[441].start 4840.42221875
transcript.pyannote[441].end 4842.21096875
transcript.pyannote[442].speaker SPEAKER_12
transcript.pyannote[442].start 4843.40909375
transcript.pyannote[442].end 4849.09596875
transcript.pyannote[443].speaker SPEAKER_09
transcript.pyannote[443].start 4844.82659375
transcript.pyannote[443].end 4845.23159375
transcript.pyannote[444].speaker SPEAKER_09
transcript.pyannote[444].start 4848.65721875
transcript.pyannote[444].end 4849.18034375
transcript.pyannote[445].speaker SPEAKER_09
transcript.pyannote[445].start 4849.33221875
transcript.pyannote[445].end 4854.81659375
transcript.pyannote[446].speaker SPEAKER_00
transcript.pyannote[446].start 4852.30221875
transcript.pyannote[446].end 4852.89284375
transcript.pyannote[447].speaker SPEAKER_12
transcript.pyannote[447].start 4853.01096875
transcript.pyannote[447].end 4853.44971875
transcript.pyannote[448].speaker SPEAKER_09
transcript.pyannote[448].start 4855.05284375
transcript.pyannote[448].end 4858.88346875
transcript.pyannote[449].speaker SPEAKER_12
transcript.pyannote[449].start 4855.23846875
transcript.pyannote[449].end 4856.35221875
transcript.pyannote[450].speaker SPEAKER_09
transcript.pyannote[450].start 4859.13659375
transcript.pyannote[450].end 4859.25471875
transcript.pyannote[451].speaker SPEAKER_07
transcript.pyannote[451].start 4859.25471875
transcript.pyannote[451].end 4884.22971875
transcript.pyannote[452].speaker SPEAKER_11
transcript.pyannote[452].start 4877.69909375
transcript.pyannote[452].end 4878.13784375
transcript.pyannote[453].speaker SPEAKER_09
transcript.pyannote[453].start 4882.30596875
transcript.pyannote[453].end 4882.79534375
transcript.pyannote[454].speaker SPEAKER_07
transcript.pyannote[454].start 4884.48284375
transcript.pyannote[454].end 4894.81034375
transcript.pyannote[455].speaker SPEAKER_09
transcript.pyannote[455].start 4885.20846875
transcript.pyannote[455].end 4887.36846875
transcript.pyannote[456].speaker SPEAKER_07
transcript.pyannote[456].start 4895.11409375
transcript.pyannote[456].end 4914.21659375
transcript.pyannote[457].speaker SPEAKER_09
transcript.pyannote[457].start 4905.72846875
transcript.pyannote[457].end 4907.09534375
transcript.pyannote[458].speaker SPEAKER_09
transcript.pyannote[458].start 4907.33159375
transcript.pyannote[458].end 4907.78721875
transcript.pyannote[459].speaker SPEAKER_09
transcript.pyannote[459].start 4908.86721875
transcript.pyannote[459].end 4909.10346875
transcript.pyannote[460].speaker SPEAKER_07
transcript.pyannote[460].start 4914.68909375
transcript.pyannote[460].end 4915.97159375
transcript.pyannote[461].speaker SPEAKER_09
transcript.pyannote[461].start 4915.97159375
transcript.pyannote[461].end 4931.80034375
transcript.pyannote[462].speaker SPEAKER_09
transcript.pyannote[462].start 4932.23909375
transcript.pyannote[462].end 4935.22596875
transcript.pyannote[463].speaker SPEAKER_09
transcript.pyannote[463].start 4935.56346875
transcript.pyannote[463].end 4937.16659375
transcript.pyannote[464].speaker SPEAKER_09
transcript.pyannote[464].start 4937.36909375
transcript.pyannote[464].end 4939.32659375
transcript.pyannote[465].speaker SPEAKER_09
transcript.pyannote[465].start 4939.51221875
transcript.pyannote[465].end 4940.98034375
transcript.pyannote[466].speaker SPEAKER_09
transcript.pyannote[466].start 4941.16596875
transcript.pyannote[466].end 4943.42721875
transcript.pyannote[467].speaker SPEAKER_09
transcript.pyannote[467].start 4943.81534375
transcript.pyannote[467].end 4948.13534375
transcript.pyannote[468].speaker SPEAKER_09
transcript.pyannote[468].start 4948.89471875
transcript.pyannote[468].end 4949.78909375
transcript.pyannote[469].speaker SPEAKER_09
transcript.pyannote[469].start 4949.85659375
transcript.pyannote[469].end 4950.95346875
transcript.pyannote[470].speaker SPEAKER_09
transcript.pyannote[470].start 4951.37534375
transcript.pyannote[470].end 4952.23596875
transcript.pyannote[471].speaker SPEAKER_09
transcript.pyannote[471].start 4952.86034375
transcript.pyannote[471].end 4954.02471875
transcript.pyannote[472].speaker SPEAKER_09
transcript.pyannote[472].start 4954.37909375
transcript.pyannote[472].end 4968.26721875
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 4967.15346875
transcript.pyannote[473].end 4967.65971875
transcript.pyannote[474].speaker SPEAKER_09
transcript.pyannote[474].start 4968.90846875
transcript.pyannote[474].end 4970.96721875
transcript.pyannote[475].speaker SPEAKER_02
transcript.pyannote[475].start 4969.66784375
transcript.pyannote[475].end 4971.35534375
transcript.pyannote[476].speaker SPEAKER_02
transcript.pyannote[476].start 4971.69284375
transcript.pyannote[476].end 4974.29159375
transcript.pyannote[477].speaker SPEAKER_09
transcript.pyannote[477].start 4974.81471875
transcript.pyannote[477].end 4975.37159375
transcript.pyannote[478].speaker SPEAKER_02
transcript.pyannote[478].start 4977.02534375
transcript.pyannote[478].end 4979.47221875
transcript.pyannote[479].speaker SPEAKER_04
transcript.pyannote[479].start 4986.12096875
transcript.pyannote[479].end 4987.89284375
transcript.pyannote[480].speaker SPEAKER_02
transcript.pyannote[480].start 4988.46659375
transcript.pyannote[480].end 4989.32721875
transcript.pyannote[481].speaker SPEAKER_04
transcript.pyannote[481].start 4997.10659375
transcript.pyannote[481].end 5040.67784375
transcript.pyannote[482].speaker SPEAKER_00
transcript.pyannote[482].start 5034.75471875
transcript.pyannote[482].end 5034.77159375
transcript.pyannote[483].speaker SPEAKER_11
transcript.pyannote[483].start 5034.77159375
transcript.pyannote[483].end 5034.95721875
transcript.pyannote[484].speaker SPEAKER_00
transcript.pyannote[484].start 5034.95721875
transcript.pyannote[484].end 5034.97409375
transcript.pyannote[485].speaker SPEAKER_10
transcript.pyannote[485].start 5040.81284375
transcript.pyannote[485].end 5059.32471875
transcript.pyannote[486].speaker SPEAKER_04
transcript.pyannote[486].start 5048.30534375
transcript.pyannote[486].end 5048.54159375
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 5055.54471875
transcript.pyannote[487].end 5056.11846875
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 5059.86471875
transcript.pyannote[488].end 5064.21846875
transcript.pyannote[489].speaker SPEAKER_10
transcript.pyannote[489].start 5064.42096875
transcript.pyannote[489].end 5066.37846875
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 5066.51346875
transcript.pyannote[490].end 5070.58034375
transcript.pyannote[491].speaker SPEAKER_10
transcript.pyannote[491].start 5070.91784375
transcript.pyannote[491].end 5074.10721875
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 5074.34346875
transcript.pyannote[492].end 5076.70596875
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 5076.92534375
transcript.pyannote[493].end 5077.93784375
transcript.pyannote[494].speaker SPEAKER_10
transcript.pyannote[494].start 5078.25846875
transcript.pyannote[494].end 5080.84034375
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 5080.24971875
transcript.pyannote[495].end 5081.19471875
transcript.pyannote[496].speaker SPEAKER_10
transcript.pyannote[496].start 5081.19471875
transcript.pyannote[496].end 5085.10971875
transcript.pyannote[497].speaker SPEAKER_10
transcript.pyannote[497].start 5085.54846875
transcript.pyannote[497].end 5085.88596875
transcript.pyannote[498].speaker SPEAKER_10
transcript.pyannote[498].start 5086.47659375
transcript.pyannote[498].end 5091.28596875
transcript.pyannote[499].speaker SPEAKER_04
transcript.pyannote[499].start 5091.45471875
transcript.pyannote[499].end 5098.59284375
transcript.pyannote[500].speaker SPEAKER_10
transcript.pyannote[500].start 5093.74971875
transcript.pyannote[500].end 5095.04909375
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 5098.94721875
transcript.pyannote[501].end 5107.62096875
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 5107.84034375
transcript.pyannote[502].end 5109.81471875
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 5110.13534375
transcript.pyannote[503].end 5111.02971875
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 5111.63721875
transcript.pyannote[504].end 5118.16784375
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 5115.68721875
transcript.pyannote[505].end 5116.24409375
transcript.pyannote[506].speaker SPEAKER_04
transcript.pyannote[506].start 5118.16784375
transcript.pyannote[506].end 5126.63909375
transcript.pyannote[507].speaker SPEAKER_10
transcript.pyannote[507].start 5120.56409375
transcript.pyannote[507].end 5121.49221875
transcript.pyannote[508].speaker SPEAKER_11
transcript.pyannote[508].start 5121.49221875
transcript.pyannote[508].end 5121.54284375
transcript.pyannote[509].speaker SPEAKER_11
transcript.pyannote[509].start 5123.55096875
transcript.pyannote[509].end 5124.17534375
transcript.pyannote[510].speaker SPEAKER_11
transcript.pyannote[510].start 5126.48721875
transcript.pyannote[510].end 5126.90909375
transcript.pyannote[511].speaker SPEAKER_04
transcript.pyannote[511].start 5126.80784375
transcript.pyannote[511].end 5168.52284375
transcript.pyannote[512].speaker SPEAKER_07
transcript.pyannote[512].start 5168.52284375
transcript.pyannote[512].end 5198.59409375
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 5198.67846875
transcript.pyannote[513].end 5222.55659375
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 5222.55659375
transcript.pyannote[514].end 5228.47971875
transcript.pyannote[515].speaker SPEAKER_19
transcript.pyannote[515].start 5224.85159375
transcript.pyannote[515].end 5224.91909375
transcript.pyannote[516].speaker SPEAKER_07
transcript.pyannote[516].start 5224.91909375
transcript.pyannote[516].end 5224.95284375
transcript.pyannote[517].speaker SPEAKER_19
transcript.pyannote[517].start 5224.95284375
transcript.pyannote[517].end 5225.07096875
transcript.pyannote[518].speaker SPEAKER_19
transcript.pyannote[518].start 5228.73284375
transcript.pyannote[518].end 5250.61971875
transcript.pyannote[519].speaker SPEAKER_19
transcript.pyannote[519].start 5250.88971875
transcript.pyannote[519].end 5252.59409375
transcript.pyannote[520].speaker SPEAKER_19
transcript.pyannote[520].start 5252.67846875
transcript.pyannote[520].end 5254.29846875
transcript.pyannote[521].speaker SPEAKER_19
transcript.pyannote[521].start 5254.43346875
transcript.pyannote[521].end 5261.82471875
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 5260.27221875
transcript.pyannote[522].end 5266.76909375
transcript.pyannote[523].speaker SPEAKER_19
transcript.pyannote[523].start 5263.29284375
transcript.pyannote[523].end 5263.51221875
transcript.pyannote[524].speaker SPEAKER_19
transcript.pyannote[524].start 5265.23346875
transcript.pyannote[524].end 5282.71596875
transcript.pyannote[525].speaker SPEAKER_04
transcript.pyannote[525].start 5281.12971875
transcript.pyannote[525].end 5286.88409375
transcript.pyannote[526].speaker SPEAKER_19
transcript.pyannote[526].start 5284.31909375
transcript.pyannote[526].end 5285.29784375
transcript.pyannote[527].speaker SPEAKER_19
transcript.pyannote[527].start 5287.01909375
transcript.pyannote[527].end 5294.22471875
transcript.pyannote[528].speaker SPEAKER_04
transcript.pyannote[528].start 5290.30971875
transcript.pyannote[528].end 5290.41096875
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 5292.75659375
transcript.pyannote[529].end 5309.12534375
transcript.pyannote[530].speaker SPEAKER_19
transcript.pyannote[530].start 5294.91659375
transcript.pyannote[530].end 5295.43971875
transcript.pyannote[531].speaker SPEAKER_19
transcript.pyannote[531].start 5298.07221875
transcript.pyannote[531].end 5300.19846875
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 5309.29409375
transcript.pyannote[532].end 5310.08721875
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 5311.23471875
transcript.pyannote[533].end 5379.27471875
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 5377.70534375
transcript.pyannote[534].end 5387.12159375
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 5382.24471875
transcript.pyannote[535].end 5382.70034375
transcript.pyannote[536].speaker SPEAKER_04
transcript.pyannote[536].start 5385.68721875
transcript.pyannote[536].end 5385.97409375
transcript.pyannote[537].speaker SPEAKER_06
transcript.pyannote[537].start 5387.00346875
transcript.pyannote[537].end 5387.52659375
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 5387.30721875
transcript.pyannote[538].end 5407.21971875
transcript.pyannote[539].speaker SPEAKER_11
transcript.pyannote[539].start 5397.93846875
transcript.pyannote[539].end 5398.19159375
transcript.pyannote[540].speaker SPEAKER_05
transcript.pyannote[540].start 5398.19159375
transcript.pyannote[540].end 5398.22534375
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 5407.45596875
transcript.pyannote[541].end 5407.77659375
transcript.pyannote[542].speaker SPEAKER_10
transcript.pyannote[542].start 5407.67534375
transcript.pyannote[542].end 5411.11784375
transcript.pyannote[543].speaker SPEAKER_10
transcript.pyannote[543].start 5411.25284375
transcript.pyannote[543].end 5412.19784375
transcript.pyannote[544].speaker SPEAKER_10
transcript.pyannote[544].start 5412.45096875
transcript.pyannote[544].end 5417.31096875
transcript.pyannote[545].speaker SPEAKER_10
transcript.pyannote[545].start 5417.51346875
transcript.pyannote[545].end 5419.75784375
transcript.pyannote[546].speaker SPEAKER_10
transcript.pyannote[546].start 5420.66909375
transcript.pyannote[546].end 5427.60471875
transcript.pyannote[547].speaker SPEAKER_10
transcript.pyannote[547].start 5429.76471875
transcript.pyannote[547].end 5442.03284375
transcript.pyannote[548].speaker SPEAKER_11
transcript.pyannote[548].start 5435.82284375
transcript.pyannote[548].end 5436.97034375
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 5436.97034375
transcript.pyannote[549].end 5437.03784375
transcript.pyannote[550].speaker SPEAKER_11
transcript.pyannote[550].start 5437.03784375
transcript.pyannote[550].end 5437.66221875
transcript.pyannote[551].speaker SPEAKER_10
transcript.pyannote[551].start 5442.35346875
transcript.pyannote[551].end 5443.83846875
transcript.pyannote[552].speaker SPEAKER_10
transcript.pyannote[552].start 5445.54284375
transcript.pyannote[552].end 5449.96409375
transcript.pyannote[553].speaker SPEAKER_10
transcript.pyannote[553].start 5450.31846875
transcript.pyannote[553].end 5451.60096875
transcript.pyannote[554].speaker SPEAKER_10
transcript.pyannote[554].start 5451.97221875
transcript.pyannote[554].end 5454.38534375
transcript.pyannote[555].speaker SPEAKER_10
transcript.pyannote[555].start 5454.89159375
transcript.pyannote[555].end 5458.57034375
transcript.pyannote[556].speaker SPEAKER_10
transcript.pyannote[556].start 5459.11034375
transcript.pyannote[556].end 5464.99971875
transcript.pyannote[557].speaker SPEAKER_04
transcript.pyannote[557].start 5464.02096875
transcript.pyannote[557].end 5476.67721875
transcript.pyannote[558].speaker SPEAKER_10
transcript.pyannote[558].start 5475.10784375
transcript.pyannote[558].end 5475.14159375
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 5475.14159375
transcript.pyannote[559].end 5476.05284375
transcript.pyannote[560].speaker SPEAKER_10
transcript.pyannote[560].start 5476.05284375
transcript.pyannote[560].end 5476.54221875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 5476.54221875
transcript.pyannote[561].end 5478.76971875
transcript.pyannote[562].speaker SPEAKER_04
transcript.pyannote[562].start 5477.04846875
transcript.pyannote[562].end 5479.24221875
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 5481.21659375
transcript.pyannote[563].end 5482.48221875
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 5483.00534375
transcript.pyannote[564].end 5485.53659375
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 5487.12284375
transcript.pyannote[565].end 5487.64596875
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 5493.77159375
transcript.pyannote[566].end 5493.78846875
transcript.pyannote[567].speaker SPEAKER_18
transcript.pyannote[567].start 5493.78846875
transcript.pyannote[567].end 5495.35784375
transcript.pyannote[568].speaker SPEAKER_02
transcript.pyannote[568].start 5495.35784375
transcript.pyannote[568].end 5495.37471875
transcript.pyannote[569].speaker SPEAKER_18
transcript.pyannote[569].start 5495.37471875
transcript.pyannote[569].end 5495.59409375
transcript.pyannote[570].speaker SPEAKER_02
transcript.pyannote[570].start 5495.59409375
transcript.pyannote[570].end 5495.67846875
transcript.pyannote[571].speaker SPEAKER_18
transcript.pyannote[571].start 5495.67846875
transcript.pyannote[571].end 5496.01596875
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 5496.01596875
transcript.pyannote[572].end 5496.33659375
transcript.pyannote[573].speaker SPEAKER_18
transcript.pyannote[573].start 5496.33659375
transcript.pyannote[573].end 5496.45471875
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 5496.45471875
transcript.pyannote[574].end 5496.65721875
transcript.pyannote[575].speaker SPEAKER_18
transcript.pyannote[575].start 5496.65721875
transcript.pyannote[575].end 5496.69096875
transcript.pyannote[576].speaker SPEAKER_02
transcript.pyannote[576].start 5496.69096875
transcript.pyannote[576].end 5496.79221875
transcript.pyannote[577].speaker SPEAKER_18
transcript.pyannote[577].start 5496.79221875
transcript.pyannote[577].end 5496.85971875
transcript.pyannote[578].speaker SPEAKER_02
transcript.pyannote[578].start 5496.85971875
transcript.pyannote[578].end 5496.89346875
transcript.pyannote[579].speaker SPEAKER_18
transcript.pyannote[579].start 5496.89346875
transcript.pyannote[579].end 5496.91034375
transcript.pyannote[580].speaker SPEAKER_02
transcript.pyannote[580].start 5496.91034375
transcript.pyannote[580].end 5497.18034375
transcript.pyannote[581].speaker SPEAKER_07
transcript.pyannote[581].start 5503.23846875
transcript.pyannote[581].end 5504.03159375
transcript.pyannote[582].speaker SPEAKER_18
transcript.pyannote[582].start 5504.03159375
transcript.pyannote[582].end 5524.01159375
transcript.pyannote[583].speaker SPEAKER_18
transcript.pyannote[583].start 5524.31534375
transcript.pyannote[583].end 5528.71971875
transcript.pyannote[584].speaker SPEAKER_07
transcript.pyannote[584].start 5527.38659375
transcript.pyannote[584].end 5530.05284375
transcript.pyannote[585].speaker SPEAKER_18
transcript.pyannote[585].start 5530.05284375
transcript.pyannote[585].end 5530.39034375
transcript.pyannote[586].speaker SPEAKER_07
transcript.pyannote[586].start 5530.72784375
transcript.pyannote[586].end 5531.45346875
transcript.pyannote[587].speaker SPEAKER_18
transcript.pyannote[587].start 5531.45346875
transcript.pyannote[587].end 5533.30971875
transcript.pyannote[588].speaker SPEAKER_07
transcript.pyannote[588].start 5531.47034375
transcript.pyannote[588].end 5531.52096875
transcript.pyannote[589].speaker SPEAKER_14
transcript.pyannote[589].start 5534.49096875
transcript.pyannote[589].end 5542.79346875
transcript.pyannote[590].speaker SPEAKER_14
transcript.pyannote[590].start 5543.45159375
transcript.pyannote[590].end 5552.88471875
transcript.pyannote[591].speaker SPEAKER_14
transcript.pyannote[591].start 5553.34034375
transcript.pyannote[591].end 5553.88034375
transcript.pyannote[592].speaker SPEAKER_18
transcript.pyannote[592].start 5553.88034375
transcript.pyannote[592].end 5553.94784375
transcript.pyannote[593].speaker SPEAKER_18
transcript.pyannote[593].start 5554.01534375
transcript.pyannote[593].end 5557.10346875
transcript.pyannote[594].speaker SPEAKER_14
transcript.pyannote[594].start 5557.25534375
transcript.pyannote[594].end 5557.55909375
transcript.pyannote[595].speaker SPEAKER_18
transcript.pyannote[595].start 5557.86284375
transcript.pyannote[595].end 5558.47034375
transcript.pyannote[596].speaker SPEAKER_14
transcript.pyannote[596].start 5558.47034375
transcript.pyannote[596].end 5558.77409375
transcript.pyannote[597].speaker SPEAKER_18
transcript.pyannote[597].start 5559.04409375
transcript.pyannote[597].end 5563.98846875
transcript.pyannote[598].speaker SPEAKER_14
transcript.pyannote[598].start 5564.91659375
transcript.pyannote[598].end 5565.27096875
transcript.pyannote[599].speaker SPEAKER_14
transcript.pyannote[599].start 5566.11471875
transcript.pyannote[599].end 5571.17721875
transcript.pyannote[600].speaker SPEAKER_18
transcript.pyannote[600].start 5570.31659375
transcript.pyannote[600].end 5571.21096875
transcript.pyannote[601].speaker SPEAKER_14
transcript.pyannote[601].start 5571.21096875
transcript.pyannote[601].end 5572.34159375
transcript.pyannote[602].speaker SPEAKER_18
transcript.pyannote[602].start 5571.34596875
transcript.pyannote[602].end 5573.59034375
transcript.pyannote[603].speaker SPEAKER_18
transcript.pyannote[603].start 5574.13034375
transcript.pyannote[603].end 5574.88971875
transcript.pyannote[604].speaker SPEAKER_18
transcript.pyannote[604].start 5575.59846875
transcript.pyannote[604].end 5576.22284375
transcript.pyannote[605].speaker SPEAKER_14
transcript.pyannote[605].start 5576.22284375
transcript.pyannote[605].end 5576.47596875
transcript.pyannote[606].speaker SPEAKER_18
transcript.pyannote[606].start 5576.47596875
transcript.pyannote[606].end 5576.49284375
transcript.pyannote[607].speaker SPEAKER_14
transcript.pyannote[607].start 5576.49284375
transcript.pyannote[607].end 5576.50971875
transcript.pyannote[608].speaker SPEAKER_18
transcript.pyannote[608].start 5576.50971875
transcript.pyannote[608].end 5576.74596875
transcript.pyannote[609].speaker SPEAKER_14
transcript.pyannote[609].start 5576.74596875
transcript.pyannote[609].end 5576.96534375
transcript.pyannote[610].speaker SPEAKER_18
transcript.pyannote[610].start 5576.96534375
transcript.pyannote[610].end 5577.03284375
transcript.pyannote[611].speaker SPEAKER_14
transcript.pyannote[611].start 5577.03284375
transcript.pyannote[611].end 5577.52221875
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 5578.18034375
transcript.pyannote[612].end 5586.07784375
transcript.pyannote[613].speaker SPEAKER_18
transcript.pyannote[613].start 5583.00659375
transcript.pyannote[613].end 5586.14534375
transcript.pyannote[614].speaker SPEAKER_11
transcript.pyannote[614].start 5586.14534375
transcript.pyannote[614].end 5586.28034375
transcript.pyannote[615].speaker SPEAKER_18
transcript.pyannote[615].start 5586.70221875
transcript.pyannote[615].end 5601.43409375
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 5586.90471875
transcript.pyannote[616].end 5587.25909375
transcript.pyannote[617].speaker SPEAKER_11
transcript.pyannote[617].start 5594.56596875
transcript.pyannote[617].end 5594.81909375
transcript.pyannote[618].speaker SPEAKER_18
transcript.pyannote[618].start 5601.77159375
transcript.pyannote[618].end 5605.28159375
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 5605.97346875
transcript.pyannote[619].end 5607.96471875
transcript.pyannote[620].speaker SPEAKER_18
transcript.pyannote[620].start 5607.96471875
transcript.pyannote[620].end 5613.98909375
transcript.pyannote[621].speaker SPEAKER_14
transcript.pyannote[621].start 5610.58034375
transcript.pyannote[621].end 5610.66471875
transcript.pyannote[622].speaker SPEAKER_18
transcript.pyannote[622].start 5614.44471875
transcript.pyannote[622].end 5620.48596875
transcript.pyannote[623].speaker SPEAKER_11
transcript.pyannote[623].start 5614.71471875
transcript.pyannote[623].end 5615.08596875
transcript.pyannote[624].speaker SPEAKER_11
transcript.pyannote[624].start 5618.07284375
transcript.pyannote[624].end 5620.77284375
transcript.pyannote[625].speaker SPEAKER_18
transcript.pyannote[625].start 5621.26221875
transcript.pyannote[625].end 5628.16409375
transcript.pyannote[626].speaker SPEAKER_14
transcript.pyannote[626].start 5628.16409375
transcript.pyannote[626].end 5628.63659375
transcript.pyannote[627].speaker SPEAKER_18
transcript.pyannote[627].start 5628.80534375
transcript.pyannote[627].end 5636.85471875
transcript.pyannote[628].speaker SPEAKER_11
transcript.pyannote[628].start 5636.85471875
transcript.pyannote[628].end 5637.31034375
transcript.pyannote[629].speaker SPEAKER_18
transcript.pyannote[629].start 5637.31034375
transcript.pyannote[629].end 5641.32659375
transcript.pyannote[630].speaker SPEAKER_18
transcript.pyannote[630].start 5642.44034375
transcript.pyannote[630].end 5642.99721875
transcript.pyannote[631].speaker SPEAKER_18
transcript.pyannote[631].start 5643.85784375
transcript.pyannote[631].end 5643.99284375
transcript.pyannote[632].speaker SPEAKER_18
transcript.pyannote[632].start 5644.19534375
transcript.pyannote[632].end 5646.60846875
transcript.pyannote[633].speaker SPEAKER_14
transcript.pyannote[633].start 5647.31721875
transcript.pyannote[633].end 5649.22409375
transcript.pyannote[634].speaker SPEAKER_18
transcript.pyannote[634].start 5649.66284375
transcript.pyannote[634].end 5654.38784375
transcript.pyannote[635].speaker SPEAKER_14
transcript.pyannote[635].start 5649.78096875
transcript.pyannote[635].end 5650.96221875
transcript.pyannote[636].speaker SPEAKER_18
transcript.pyannote[636].start 5654.97846875
transcript.pyannote[636].end 5654.99534375
transcript.pyannote[637].speaker SPEAKER_14
transcript.pyannote[637].start 5654.99534375
transcript.pyannote[637].end 5660.47971875
transcript.pyannote[638].speaker SPEAKER_18
transcript.pyannote[638].start 5659.85534375
transcript.pyannote[638].end 5662.13346875
transcript.pyannote[639].speaker SPEAKER_18
transcript.pyannote[639].start 5662.21784375
transcript.pyannote[639].end 5662.99409375
transcript.pyannote[640].speaker SPEAKER_18
transcript.pyannote[640].start 5663.24721875
transcript.pyannote[640].end 5665.33971875
transcript.pyannote[641].speaker SPEAKER_18
transcript.pyannote[641].start 5665.52534375
transcript.pyannote[641].end 5666.68971875
transcript.pyannote[642].speaker SPEAKER_18
transcript.pyannote[642].start 5667.39846875
transcript.pyannote[642].end 5667.65159375
transcript.pyannote[643].speaker SPEAKER_18
transcript.pyannote[643].start 5667.87096875
transcript.pyannote[643].end 5668.68096875
transcript.pyannote[644].speaker SPEAKER_18
transcript.pyannote[644].start 5668.91721875
transcript.pyannote[644].end 5669.49096875
transcript.pyannote[645].speaker SPEAKER_18
transcript.pyannote[645].start 5670.08159375
transcript.pyannote[645].end 5670.75659375
transcript.pyannote[646].speaker SPEAKER_18
transcript.pyannote[646].start 5671.27971875
transcript.pyannote[646].end 5671.97159375
transcript.pyannote[647].speaker SPEAKER_18
transcript.pyannote[647].start 5672.71409375
transcript.pyannote[647].end 5673.22034375
transcript.pyannote[648].speaker SPEAKER_18
transcript.pyannote[648].start 5674.06409375
transcript.pyannote[648].end 5674.65471875
transcript.pyannote[649].speaker SPEAKER_18
transcript.pyannote[649].start 5675.41409375
transcript.pyannote[649].end 5685.45471875
transcript.pyannote[650].speaker SPEAKER_18
transcript.pyannote[650].start 5685.72471875
transcript.pyannote[650].end 5691.09096875
transcript.pyannote[651].speaker SPEAKER_19
transcript.pyannote[651].start 5691.93471875
transcript.pyannote[651].end 5698.85346875
transcript.pyannote[652].speaker SPEAKER_19
transcript.pyannote[652].start 5700.42284375
transcript.pyannote[652].end 5702.17784375
transcript.pyannote[653].speaker SPEAKER_19
transcript.pyannote[653].start 5703.52784375
transcript.pyannote[653].end 5704.70909375
transcript.pyannote[654].speaker SPEAKER_19
transcript.pyannote[654].start 5704.96221875
transcript.pyannote[654].end 5715.69471875
transcript.pyannote[655].speaker SPEAKER_18
transcript.pyannote[655].start 5712.77534375
transcript.pyannote[655].end 5720.21721875
transcript.pyannote[656].speaker SPEAKER_18
transcript.pyannote[656].start 5720.74034375
transcript.pyannote[656].end 5720.77409375
transcript.pyannote[657].speaker SPEAKER_19
transcript.pyannote[657].start 5720.77409375
transcript.pyannote[657].end 5720.99346875
transcript.pyannote[658].speaker SPEAKER_18
transcript.pyannote[658].start 5720.99346875
transcript.pyannote[658].end 5721.01034375
transcript.pyannote[659].speaker SPEAKER_19
transcript.pyannote[659].start 5721.01034375
transcript.pyannote[659].end 5722.00596875
transcript.pyannote[660].speaker SPEAKER_18
transcript.pyannote[660].start 5722.00596875
transcript.pyannote[660].end 5722.02284375
transcript.pyannote[661].speaker SPEAKER_19
transcript.pyannote[661].start 5722.51221875
transcript.pyannote[661].end 5725.98846875
transcript.pyannote[662].speaker SPEAKER_19
transcript.pyannote[662].start 5726.29221875
transcript.pyannote[662].end 5738.96534375
transcript.pyannote[663].speaker SPEAKER_18
transcript.pyannote[663].start 5738.96534375
transcript.pyannote[663].end 5744.06159375
transcript.pyannote[664].speaker SPEAKER_18
transcript.pyannote[664].start 5744.39909375
transcript.pyannote[664].end 5745.02346875
transcript.pyannote[665].speaker SPEAKER_19
transcript.pyannote[665].start 5745.02346875
transcript.pyannote[665].end 5752.97159375
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 5749.17471875
transcript.pyannote[666].end 5749.96784375
transcript.pyannote[667].speaker SPEAKER_18
transcript.pyannote[667].start 5752.97159375
transcript.pyannote[667].end 5755.57034375
transcript.pyannote[668].speaker SPEAKER_18
transcript.pyannote[668].start 5756.11034375
transcript.pyannote[668].end 5756.85284375
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 5757.40971875
transcript.pyannote[669].end 5759.38409375
transcript.pyannote[670].speaker SPEAKER_19
transcript.pyannote[670].start 5759.38409375
transcript.pyannote[670].end 5759.41784375
transcript.pyannote[671].speaker SPEAKER_18
transcript.pyannote[671].start 5759.75534375
transcript.pyannote[671].end 5759.77221875
transcript.pyannote[672].speaker SPEAKER_19
transcript.pyannote[672].start 5759.77221875
transcript.pyannote[672].end 5778.85784375
transcript.pyannote[673].speaker SPEAKER_18
transcript.pyannote[673].start 5761.25721875
transcript.pyannote[673].end 5762.11784375
transcript.pyannote[674].speaker SPEAKER_18
transcript.pyannote[674].start 5764.19346875
transcript.pyannote[674].end 5764.80096875
transcript.pyannote[675].speaker SPEAKER_18
transcript.pyannote[675].start 5765.61096875
transcript.pyannote[675].end 5766.53909375
transcript.pyannote[676].speaker SPEAKER_18
transcript.pyannote[676].start 5768.58096875
transcript.pyannote[676].end 5770.90971875
transcript.pyannote[677].speaker SPEAKER_18
transcript.pyannote[677].start 5773.60971875
transcript.pyannote[677].end 5773.67721875
transcript.pyannote[678].speaker SPEAKER_16
transcript.pyannote[678].start 5773.67721875
transcript.pyannote[678].end 5773.72784375
transcript.pyannote[679].speaker SPEAKER_18
transcript.pyannote[679].start 5773.72784375
transcript.pyannote[679].end 5773.82909375
transcript.pyannote[680].speaker SPEAKER_16
transcript.pyannote[680].start 5773.82909375
transcript.pyannote[680].end 5773.84596875
transcript.pyannote[681].speaker SPEAKER_19
transcript.pyannote[681].start 5778.99284375
transcript.pyannote[681].end 5779.11096875
transcript.pyannote[682].speaker SPEAKER_18
transcript.pyannote[682].start 5779.11096875
transcript.pyannote[682].end 5784.19034375
transcript.pyannote[683].speaker SPEAKER_19
transcript.pyannote[683].start 5779.44846875
transcript.pyannote[683].end 5780.32596875
transcript.pyannote[684].speaker SPEAKER_19
transcript.pyannote[684].start 5782.45221875
transcript.pyannote[684].end 5789.45534375
transcript.pyannote[685].speaker SPEAKER_18
transcript.pyannote[685].start 5786.24909375
transcript.pyannote[685].end 5796.54284375
transcript.pyannote[686].speaker SPEAKER_18
transcript.pyannote[686].start 5797.03221875
transcript.pyannote[686].end 5797.97721875
transcript.pyannote[687].speaker SPEAKER_18
transcript.pyannote[687].start 5798.44971875
transcript.pyannote[687].end 5798.50034375
transcript.pyannote[688].speaker SPEAKER_19
transcript.pyannote[688].start 5798.50034375
transcript.pyannote[688].end 5798.60159375
transcript.pyannote[689].speaker SPEAKER_18
transcript.pyannote[689].start 5798.60159375
transcript.pyannote[689].end 5798.97284375
transcript.pyannote[690].speaker SPEAKER_19
transcript.pyannote[690].start 5798.97284375
transcript.pyannote[690].end 5799.02346875
transcript.pyannote[691].speaker SPEAKER_18
transcript.pyannote[691].start 5799.02346875
transcript.pyannote[691].end 5799.25971875
transcript.pyannote[692].speaker SPEAKER_19
transcript.pyannote[692].start 5799.25971875
transcript.pyannote[692].end 5800.22159375
transcript.pyannote[693].speaker SPEAKER_19
transcript.pyannote[693].start 5801.94284375
transcript.pyannote[693].end 5809.38471875
transcript.pyannote[694].speaker SPEAKER_18
transcript.pyannote[694].start 5804.86221875
transcript.pyannote[694].end 5806.29659375
transcript.pyannote[695].speaker SPEAKER_19
transcript.pyannote[695].start 5809.43534375
transcript.pyannote[695].end 5809.97534375
transcript.pyannote[696].speaker SPEAKER_18
transcript.pyannote[696].start 5809.97534375
transcript.pyannote[696].end 5810.14409375
transcript.pyannote[697].speaker SPEAKER_19
transcript.pyannote[697].start 5810.14409375
transcript.pyannote[697].end 5810.97096875
transcript.pyannote[698].speaker SPEAKER_18
transcript.pyannote[698].start 5810.97096875
transcript.pyannote[698].end 5817.82221875
transcript.pyannote[699].speaker SPEAKER_19
transcript.pyannote[699].start 5812.03409375
transcript.pyannote[699].end 5814.71721875
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 5814.71721875
transcript.pyannote[700].end 5814.73409375
transcript.pyannote[701].speaker SPEAKER_18
transcript.pyannote[701].start 5818.15971875
transcript.pyannote[701].end 5825.29784375
transcript.pyannote[702].speaker SPEAKER_18
transcript.pyannote[702].start 5825.90534375
transcript.pyannote[702].end 5827.67721875
transcript.pyannote[703].speaker SPEAKER_18
transcript.pyannote[703].start 5828.04846875
transcript.pyannote[703].end 5828.40284375
transcript.pyannote[704].speaker SPEAKER_18
transcript.pyannote[704].start 5828.90909375
transcript.pyannote[704].end 5829.02721875
transcript.pyannote[705].speaker SPEAKER_19
transcript.pyannote[705].start 5829.02721875
transcript.pyannote[705].end 5830.57971875
transcript.pyannote[706].speaker SPEAKER_19
transcript.pyannote[706].start 5831.22096875
transcript.pyannote[706].end 5832.89159375
transcript.pyannote[707].speaker SPEAKER_19
transcript.pyannote[707].start 5832.97596875
transcript.pyannote[707].end 5841.02534375
transcript.pyannote[708].speaker SPEAKER_15
transcript.pyannote[708].start 5837.04284375
transcript.pyannote[708].end 5838.03846875
transcript.pyannote[709].speaker SPEAKER_18
transcript.pyannote[709].start 5838.03846875
transcript.pyannote[709].end 5838.61221875
transcript.pyannote[710].speaker SPEAKER_18
transcript.pyannote[710].start 5839.15221875
transcript.pyannote[710].end 5841.75096875
transcript.pyannote[711].speaker SPEAKER_19
transcript.pyannote[711].start 5841.75096875
transcript.pyannote[711].end 5841.97034375
transcript.pyannote[712].speaker SPEAKER_18
transcript.pyannote[712].start 5841.97034375
transcript.pyannote[712].end 5844.09659375
transcript.pyannote[713].speaker SPEAKER_18
transcript.pyannote[713].start 5844.29909375
transcript.pyannote[713].end 5857.27596875
transcript.pyannote[714].speaker SPEAKER_18
transcript.pyannote[714].start 5857.73159375
transcript.pyannote[714].end 5859.18284375
transcript.pyannote[715].speaker SPEAKER_18
transcript.pyannote[715].start 5860.14471875
transcript.pyannote[715].end 5860.54971875
transcript.pyannote[716].speaker SPEAKER_18
transcript.pyannote[716].start 5860.61721875
transcript.pyannote[716].end 5862.03471875
transcript.pyannote[717].speaker SPEAKER_19
transcript.pyannote[717].start 5862.03471875
transcript.pyannote[717].end 5867.92409375
transcript.pyannote[718].speaker SPEAKER_19
transcript.pyannote[718].start 5867.97471875
transcript.pyannote[718].end 5876.10846875
transcript.pyannote[719].speaker SPEAKER_19
transcript.pyannote[719].start 5876.46284375
transcript.pyannote[719].end 5878.31909375
transcript.pyannote[720].speaker SPEAKER_19
transcript.pyannote[720].start 5878.47096875
transcript.pyannote[720].end 5887.63409375
transcript.pyannote[721].speaker SPEAKER_18
transcript.pyannote[721].start 5884.09034375
transcript.pyannote[721].end 5884.54596875
transcript.pyannote[722].speaker SPEAKER_18
transcript.pyannote[722].start 5885.45721875
transcript.pyannote[722].end 5896.34159375
transcript.pyannote[723].speaker SPEAKER_19
transcript.pyannote[723].start 5896.34159375
transcript.pyannote[723].end 5903.17596875
transcript.pyannote[724].speaker SPEAKER_18
transcript.pyannote[724].start 5896.67909375
transcript.pyannote[724].end 5897.57346875
transcript.pyannote[725].speaker SPEAKER_18
transcript.pyannote[725].start 5901.74159375
transcript.pyannote[725].end 5902.31534375
transcript.pyannote[726].speaker SPEAKER_11
transcript.pyannote[726].start 5902.31534375
transcript.pyannote[726].end 5902.34909375
transcript.pyannote[727].speaker SPEAKER_15
transcript.pyannote[727].start 5902.93971875
transcript.pyannote[727].end 5902.95659375
transcript.pyannote[728].speaker SPEAKER_18
transcript.pyannote[728].start 5902.95659375
transcript.pyannote[728].end 5903.05784375
transcript.pyannote[729].speaker SPEAKER_18
transcript.pyannote[729].start 5903.17596875
transcript.pyannote[729].end 5903.39534375
transcript.pyannote[730].speaker SPEAKER_19
transcript.pyannote[730].start 5903.83409375
transcript.pyannote[730].end 5907.96846875
transcript.pyannote[731].speaker SPEAKER_15
transcript.pyannote[731].start 5904.98159375
transcript.pyannote[731].end 5904.99846875
transcript.pyannote[732].speaker SPEAKER_18
transcript.pyannote[732].start 5904.99846875
transcript.pyannote[732].end 5906.36534375
transcript.pyannote[733].speaker SPEAKER_18
transcript.pyannote[733].start 5907.96846875
transcript.pyannote[733].end 5912.17034375
transcript.pyannote[734].speaker SPEAKER_18
transcript.pyannote[734].start 5912.59221875
transcript.pyannote[734].end 5918.71784375
transcript.pyannote[735].speaker SPEAKER_18
transcript.pyannote[735].start 5919.30846875
transcript.pyannote[735].end 5921.56971875
transcript.pyannote[736].speaker SPEAKER_18
transcript.pyannote[736].start 5922.26159375
transcript.pyannote[736].end 5928.55596875
transcript.pyannote[737].speaker SPEAKER_18
transcript.pyannote[737].start 5928.99471875
transcript.pyannote[737].end 5930.49659375
transcript.pyannote[738].speaker SPEAKER_18
transcript.pyannote[738].start 5931.08721875
transcript.pyannote[738].end 5931.64409375
transcript.pyannote[739].speaker SPEAKER_18
transcript.pyannote[739].start 5931.96471875
transcript.pyannote[739].end 5933.36534375
transcript.pyannote[740].speaker SPEAKER_18
transcript.pyannote[740].start 5933.60159375
transcript.pyannote[740].end 5935.69409375
transcript.pyannote[741].speaker SPEAKER_18
transcript.pyannote[741].start 5936.23409375
transcript.pyannote[741].end 5936.57159375
transcript.pyannote[742].speaker SPEAKER_18
transcript.pyannote[742].start 5937.22971875
transcript.pyannote[742].end 5938.44471875
transcript.pyannote[743].speaker SPEAKER_18
transcript.pyannote[743].start 5939.08596875
transcript.pyannote[743].end 5948.65409375
transcript.pyannote[744].speaker SPEAKER_18
transcript.pyannote[744].start 5948.97471875
transcript.pyannote[744].end 5951.32034375
transcript.pyannote[745].speaker SPEAKER_19
transcript.pyannote[745].start 5950.98284375
transcript.pyannote[745].end 5951.10096875
transcript.pyannote[746].speaker SPEAKER_18
transcript.pyannote[746].start 5951.87721875
transcript.pyannote[746].end 5960.75346875
transcript.pyannote[747].speaker SPEAKER_18
transcript.pyannote[747].start 5961.29346875
transcript.pyannote[747].end 5965.84971875
transcript.pyannote[748].speaker SPEAKER_18
transcript.pyannote[748].start 5966.10284375
transcript.pyannote[748].end 5968.29659375
transcript.pyannote[749].speaker SPEAKER_18
transcript.pyannote[749].start 5969.25846875
transcript.pyannote[749].end 5971.14846875
transcript.pyannote[750].speaker SPEAKER_18
transcript.pyannote[750].start 5971.99221875
transcript.pyannote[750].end 5973.30846875
transcript.pyannote[751].speaker SPEAKER_18
transcript.pyannote[751].start 5974.18596875
transcript.pyannote[751].end 5974.67534375
transcript.pyannote[752].speaker SPEAKER_18
transcript.pyannote[752].start 5975.04659375
transcript.pyannote[752].end 5975.09721875
transcript.pyannote[753].speaker SPEAKER_19
transcript.pyannote[753].start 5975.09721875
transcript.pyannote[753].end 5975.28284375
transcript.pyannote[754].speaker SPEAKER_18
transcript.pyannote[754].start 5975.28284375
transcript.pyannote[754].end 5975.36721875
transcript.pyannote[755].speaker SPEAKER_18
transcript.pyannote[755].start 5975.94096875
transcript.pyannote[755].end 5979.40034375
transcript.pyannote[756].speaker SPEAKER_19
transcript.pyannote[756].start 5978.21909375
transcript.pyannote[756].end 5978.38784375
transcript.pyannote[757].speaker SPEAKER_18
transcript.pyannote[757].start 5979.68721875
transcript.pyannote[757].end 5981.76284375
transcript.pyannote[758].speaker SPEAKER_18
transcript.pyannote[758].start 5982.60659375
transcript.pyannote[758].end 5983.07909375
transcript.pyannote[759].speaker SPEAKER_18
transcript.pyannote[759].start 5983.61909375
transcript.pyannote[759].end 5985.32346875
transcript.pyannote[760].speaker SPEAKER_19
transcript.pyannote[760].start 5985.32346875
transcript.pyannote[760].end 5985.71159375
transcript.pyannote[761].speaker SPEAKER_18
transcript.pyannote[761].start 5985.91409375
transcript.pyannote[761].end 5986.50471875
transcript.pyannote[762].speaker SPEAKER_18
transcript.pyannote[762].start 5987.09534375
transcript.pyannote[762].end 5990.50409375
transcript.pyannote[763].speaker SPEAKER_19
transcript.pyannote[763].start 5990.80784375
transcript.pyannote[763].end 5993.47409375
transcript.pyannote[764].speaker SPEAKER_19
transcript.pyannote[764].start 5994.97596875
transcript.pyannote[764].end 5996.03909375
transcript.pyannote[765].speaker SPEAKER_02
transcript.pyannote[765].start 5996.03909375
transcript.pyannote[765].end 5996.54534375
transcript.pyannote[766].speaker SPEAKER_02
transcript.pyannote[766].start 5997.55784375
transcript.pyannote[766].end 6000.62909375
transcript.pyannote[767].speaker SPEAKER_02
transcript.pyannote[767].start 6001.00034375
transcript.pyannote[767].end 6006.80534375
transcript.pyannote[768].speaker SPEAKER_02
transcript.pyannote[768].start 6007.22721875
transcript.pyannote[768].end 6011.37846875
transcript.pyannote[769].speaker SPEAKER_02
transcript.pyannote[769].start 6011.47971875
transcript.pyannote[769].end 6015.27659375
transcript.pyannote[770].speaker SPEAKER_02
transcript.pyannote[770].start 6015.59721875
transcript.pyannote[770].end 6017.57159375
transcript.pyannote[771].speaker SPEAKER_02
transcript.pyannote[771].start 6017.70659375
transcript.pyannote[771].end 6018.65159375
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 6019.25909375
transcript.pyannote[772].end 6023.68034375
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 6035.42534375
transcript.pyannote[773].end 6035.49284375
transcript.pyannote[774].speaker SPEAKER_05
transcript.pyannote[774].start 6037.11284375
transcript.pyannote[774].end 6039.25596875
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 6039.81284375
transcript.pyannote[775].end 6041.78721875
transcript.pyannote[776].speaker SPEAKER_02
transcript.pyannote[776].start 6041.97284375
transcript.pyannote[776].end 6047.65971875
transcript.pyannote[777].speaker SPEAKER_02
transcript.pyannote[777].start 6048.03096875
transcript.pyannote[777].end 6052.65471875
transcript.pyannote[778].speaker SPEAKER_02
transcript.pyannote[778].start 6052.92471875
transcript.pyannote[778].end 6063.21846875
transcript.pyannote[779].speaker SPEAKER_05
transcript.pyannote[779].start 6063.53909375
transcript.pyannote[779].end 6085.96596875
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 6087.14721875
transcript.pyannote[780].end 6090.21846875
transcript.pyannote[781].speaker SPEAKER_05
transcript.pyannote[781].start 6089.62784375
transcript.pyannote[781].end 6089.84721875
transcript.pyannote[782].speaker SPEAKER_05
transcript.pyannote[782].start 6090.21846875
transcript.pyannote[782].end 6092.86784375
transcript.pyannote[783].speaker SPEAKER_05
transcript.pyannote[783].start 6093.20534375
transcript.pyannote[783].end 6094.69034375
transcript.pyannote[784].speaker SPEAKER_02
transcript.pyannote[784].start 6094.69034375
transcript.pyannote[784].end 6094.99409375
transcript.pyannote[785].speaker SPEAKER_02
transcript.pyannote[785].start 6096.86721875
transcript.pyannote[785].end 6098.13284375
transcript.pyannote[786].speaker SPEAKER_05
transcript.pyannote[786].start 6098.68971875
transcript.pyannote[786].end 6101.54159375
transcript.pyannote[787].speaker SPEAKER_02
transcript.pyannote[787].start 6098.75721875
transcript.pyannote[787].end 6098.77409375
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 6098.82471875
transcript.pyannote[788].end 6099.26346875
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 6101.54159375
transcript.pyannote[789].end 6105.03471875
transcript.pyannote[790].speaker SPEAKER_05
transcript.pyannote[790].start 6104.27534375
transcript.pyannote[790].end 6106.14846875
transcript.pyannote[791].speaker SPEAKER_02
transcript.pyannote[791].start 6105.42284375
transcript.pyannote[791].end 6106.50284375
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 6116.23971875
transcript.pyannote[792].end 6119.59784375
transcript.pyannote[793].speaker SPEAKER_05
transcript.pyannote[793].start 6119.90159375
transcript.pyannote[793].end 6120.69471875
transcript.pyannote[794].speaker SPEAKER_05
transcript.pyannote[794].start 6121.09971875
transcript.pyannote[794].end 6129.80721875
transcript.pyannote[795].speaker SPEAKER_02
transcript.pyannote[795].start 6124.94721875
transcript.pyannote[795].end 6127.42784375
transcript.pyannote[796].speaker SPEAKER_02
transcript.pyannote[796].start 6130.39784375
transcript.pyannote[796].end 6133.87409375
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 6134.09346875
transcript.pyannote[797].end 6139.15596875
transcript.pyannote[798].speaker SPEAKER_05
transcript.pyannote[798].start 6139.34159375
transcript.pyannote[798].end 6141.82221875
transcript.pyannote[799].speaker SPEAKER_02
transcript.pyannote[799].start 6139.72971875
transcript.pyannote[799].end 6140.13471875
transcript.pyannote[800].speaker SPEAKER_02
transcript.pyannote[800].start 6140.94471875
transcript.pyannote[800].end 6145.24784375
transcript.pyannote[801].speaker SPEAKER_05
transcript.pyannote[801].start 6143.00346875
transcript.pyannote[801].end 6143.71221875
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 6145.34909375
transcript.pyannote[802].end 6153.12846875
transcript.pyannote[803].speaker SPEAKER_02
transcript.pyannote[803].start 6148.50471875
transcript.pyannote[803].end 6150.27659375
transcript.pyannote[804].speaker SPEAKER_02
transcript.pyannote[804].start 6150.58034375
transcript.pyannote[804].end 6151.67721875
transcript.pyannote[805].speaker SPEAKER_02
transcript.pyannote[805].start 6152.99346875
transcript.pyannote[805].end 6153.34784375
transcript.pyannote[806].speaker SPEAKER_05
transcript.pyannote[806].start 6153.26346875
transcript.pyannote[806].end 6157.09409375
transcript.pyannote[807].speaker SPEAKER_02
transcript.pyannote[807].start 6154.19159375
transcript.pyannote[807].end 6157.75221875
transcript.pyannote[808].speaker SPEAKER_05
transcript.pyannote[808].start 6157.75221875
transcript.pyannote[808].end 6158.37659375
transcript.pyannote[809].speaker SPEAKER_05
transcript.pyannote[809].start 6158.42721875
transcript.pyannote[809].end 6169.49721875
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 6161.12721875
transcript.pyannote[810].end 6165.58221875
transcript.pyannote[811].speaker SPEAKER_17
transcript.pyannote[811].start 6165.58221875
transcript.pyannote[811].end 6166.51034375
transcript.pyannote[812].speaker SPEAKER_00
transcript.pyannote[812].start 6166.51034375
transcript.pyannote[812].end 6166.56096875
transcript.pyannote[813].speaker SPEAKER_11
transcript.pyannote[813].start 6166.56096875
transcript.pyannote[813].end 6166.59471875
transcript.pyannote[814].speaker SPEAKER_00
transcript.pyannote[814].start 6166.59471875
transcript.pyannote[814].end 6166.91534375
transcript.pyannote[815].speaker SPEAKER_05
transcript.pyannote[815].start 6170.32409375
transcript.pyannote[815].end 6178.03596875
transcript.pyannote[816].speaker SPEAKER_02
transcript.pyannote[816].start 6176.07846875
transcript.pyannote[816].end 6188.26221875
transcript.pyannote[817].speaker SPEAKER_05
transcript.pyannote[817].start 6184.71846875
transcript.pyannote[817].end 6186.30471875
transcript.pyannote[818].speaker SPEAKER_05
transcript.pyannote[818].start 6187.30034375
transcript.pyannote[818].end 6194.20221875
transcript.pyannote[819].speaker SPEAKER_02
transcript.pyannote[819].start 6189.71346875
transcript.pyannote[819].end 6191.43471875
transcript.pyannote[820].speaker SPEAKER_02
transcript.pyannote[820].start 6193.76346875
transcript.pyannote[820].end 6194.16846875
transcript.pyannote[821].speaker SPEAKER_02
transcript.pyannote[821].start 6194.20221875
transcript.pyannote[821].end 6194.32034375
transcript.pyannote[822].speaker SPEAKER_05
transcript.pyannote[822].start 6194.32034375
transcript.pyannote[822].end 6194.47221875
transcript.pyannote[823].speaker SPEAKER_02
transcript.pyannote[823].start 6194.47221875
transcript.pyannote[823].end 6203.46659375
transcript.pyannote[824].speaker SPEAKER_05
transcript.pyannote[824].start 6194.94471875
transcript.pyannote[824].end 6195.90659375
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 6201.69471875
transcript.pyannote[825].end 6203.98971875
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 6204.27659375
transcript.pyannote[826].end 6206.55471875
transcript.pyannote[827].speaker SPEAKER_05
transcript.pyannote[827].start 6206.77409375
transcript.pyannote[827].end 6208.86659375
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 6209.05221875
transcript.pyannote[828].end 6212.96721875
transcript.pyannote[829].speaker SPEAKER_05
transcript.pyannote[829].start 6212.96721875
transcript.pyannote[829].end 6216.52784375
transcript.pyannote[830].speaker SPEAKER_05
transcript.pyannote[830].start 6217.21971875
transcript.pyannote[830].end 6219.71721875
transcript.pyannote[831].speaker SPEAKER_05
transcript.pyannote[831].start 6220.24034375
transcript.pyannote[831].end 6223.51409375
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 6223.51409375
transcript.pyannote[832].end 6225.11721875
transcript.pyannote[833].speaker SPEAKER_05
transcript.pyannote[833].start 6225.87659375
transcript.pyannote[833].end 6229.87596875
transcript.pyannote[834].speaker SPEAKER_05
transcript.pyannote[834].start 6230.31471875
transcript.pyannote[834].end 6237.23346875
transcript.pyannote[835].speaker SPEAKER_05
transcript.pyannote[835].start 6237.65534375
transcript.pyannote[835].end 6240.11909375
transcript.pyannote[836].speaker SPEAKER_05
transcript.pyannote[836].start 6240.57471875
transcript.pyannote[836].end 6241.57034375
transcript.pyannote[837].speaker SPEAKER_05
transcript.pyannote[837].start 6241.89096875
transcript.pyannote[837].end 6243.49409375
transcript.pyannote[838].speaker SPEAKER_02
transcript.pyannote[838].start 6247.18971875
transcript.pyannote[838].end 6250.19346875
transcript.pyannote[839].speaker SPEAKER_05
transcript.pyannote[839].start 6248.97846875
transcript.pyannote[839].end 6258.20909375
transcript.pyannote[840].speaker SPEAKER_05
transcript.pyannote[840].start 6258.66471875
transcript.pyannote[840].end 6261.38159375
transcript.pyannote[841].speaker SPEAKER_05
transcript.pyannote[841].start 6261.63471875
transcript.pyannote[841].end 6267.15284375
transcript.pyannote[842].speaker SPEAKER_05
transcript.pyannote[842].start 6268.50284375
transcript.pyannote[842].end 6271.23659375
transcript.pyannote[843].speaker SPEAKER_05
transcript.pyannote[843].start 6275.86034375
transcript.pyannote[843].end 6279.77534375
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 6281.27721875
transcript.pyannote[844].end 6286.67721875
transcript.pyannote[845].speaker SPEAKER_05
transcript.pyannote[845].start 6284.56784375
transcript.pyannote[845].end 6286.30596875
transcript.pyannote[846].speaker SPEAKER_05
transcript.pyannote[846].start 6288.90471875
transcript.pyannote[846].end 6289.32659375
transcript.pyannote[847].speaker SPEAKER_05
transcript.pyannote[847].start 6290.25471875
transcript.pyannote[847].end 6291.40221875
transcript.pyannote[848].speaker SPEAKER_05
transcript.pyannote[848].start 6292.26284375
transcript.pyannote[848].end 6293.12346875
transcript.pyannote[849].speaker SPEAKER_05
transcript.pyannote[849].start 6293.95034375
transcript.pyannote[849].end 6296.38034375
transcript.pyannote[850].speaker SPEAKER_02
transcript.pyannote[850].start 6295.06409375
transcript.pyannote[850].end 6296.97096875
transcript.pyannote[851].speaker SPEAKER_05
transcript.pyannote[851].start 6296.97096875
transcript.pyannote[851].end 6311.77034375
transcript.pyannote[852].speaker SPEAKER_05
transcript.pyannote[852].start 6311.90534375
transcript.pyannote[852].end 6325.15221875
transcript.pyannote[853].speaker SPEAKER_05
transcript.pyannote[853].start 6326.23221875
transcript.pyannote[853].end 6332.62784375
transcript.pyannote[854].speaker SPEAKER_05
transcript.pyannote[854].start 6333.42096875
transcript.pyannote[854].end 6344.59221875
transcript.pyannote[855].speaker SPEAKER_05
transcript.pyannote[855].start 6345.53721875
transcript.pyannote[855].end 6346.04346875
transcript.pyannote[856].speaker SPEAKER_05
transcript.pyannote[856].start 6346.63409375
transcript.pyannote[856].end 6347.83221875
transcript.pyannote[857].speaker SPEAKER_05
transcript.pyannote[857].start 6348.11909375
transcript.pyannote[857].end 6360.47159375
transcript.pyannote[858].speaker SPEAKER_05
transcript.pyannote[858].start 6361.63596875
transcript.pyannote[858].end 6367.15409375
transcript.pyannote[859].speaker SPEAKER_05
transcript.pyannote[859].start 6367.50846875
transcript.pyannote[859].end 6370.25909375
transcript.pyannote[860].speaker SPEAKER_05
transcript.pyannote[860].start 6371.01846875
transcript.pyannote[860].end 6372.77346875
transcript.pyannote[861].speaker SPEAKER_05
transcript.pyannote[861].start 6376.97534375
transcript.pyannote[861].end 6377.02596875
transcript.pyannote[862].speaker SPEAKER_05
transcript.pyannote[862].start 6377.97096875
transcript.pyannote[862].end 6378.03846875
transcript.pyannote[863].speaker SPEAKER_05
transcript.pyannote[863].start 6378.96659375
transcript.pyannote[863].end 6379.03409375
transcript.pyannote[864].speaker SPEAKER_11
transcript.pyannote[864].start 6382.17284375
transcript.pyannote[864].end 6382.18971875
transcript.pyannote[865].speaker SPEAKER_05
transcript.pyannote[865].start 6382.18971875
transcript.pyannote[865].end 6384.29909375
transcript.pyannote[866].speaker SPEAKER_11
transcript.pyannote[866].start 6382.27409375
transcript.pyannote[866].end 6384.14721875
transcript.pyannote[867].speaker SPEAKER_05
transcript.pyannote[867].start 6386.99909375
transcript.pyannote[867].end 6392.93909375
transcript.pyannote[868].speaker SPEAKER_05
transcript.pyannote[868].start 6393.20909375
transcript.pyannote[868].end 6397.29284375
transcript.pyannote[869].speaker SPEAKER_05
transcript.pyannote[869].start 6399.35159375
transcript.pyannote[869].end 6402.23721875
transcript.pyannote[870].speaker SPEAKER_05
transcript.pyannote[870].start 6403.01346875
transcript.pyannote[870].end 6406.60784375
transcript.pyannote[871].speaker SPEAKER_05
transcript.pyannote[871].start 6407.40096875
transcript.pyannote[871].end 6409.20659375
transcript.pyannote[872].speaker SPEAKER_05
transcript.pyannote[872].start 6409.37534375
transcript.pyannote[872].end 6411.26534375
transcript.pyannote[873].speaker SPEAKER_05
transcript.pyannote[873].start 6411.88971875
transcript.pyannote[873].end 6417.98159375
transcript.pyannote[874].speaker SPEAKER_05
transcript.pyannote[874].start 6418.15034375
transcript.pyannote[874].end 6421.87971875
transcript.pyannote[875].speaker SPEAKER_05
transcript.pyannote[875].start 6422.41971875
transcript.pyannote[875].end 6424.96784375
transcript.pyannote[876].speaker SPEAKER_05
transcript.pyannote[876].start 6425.42346875
transcript.pyannote[876].end 6438.02909375
transcript.pyannote[877].speaker SPEAKER_05
transcript.pyannote[877].start 6438.13034375
transcript.pyannote[877].end 6440.57721875
transcript.pyannote[878].speaker SPEAKER_05
transcript.pyannote[878].start 6440.96534375
transcript.pyannote[878].end 6442.65284375
transcript.pyannote[879].speaker SPEAKER_05
transcript.pyannote[879].start 6446.16284375
transcript.pyannote[879].end 6450.83721875
transcript.pyannote[880].speaker SPEAKER_05
transcript.pyannote[880].start 6451.36034375
transcript.pyannote[880].end 6453.97596875
transcript.pyannote[881].speaker SPEAKER_05
transcript.pyannote[881].start 6454.65096875
transcript.pyannote[881].end 6458.19471875
transcript.pyannote[882].speaker SPEAKER_05
transcript.pyannote[882].start 6458.49846875
transcript.pyannote[882].end 6460.69221875
transcript.pyannote[883].speaker SPEAKER_05
transcript.pyannote[883].start 6461.45159375
transcript.pyannote[883].end 6467.20596875
transcript.pyannote[884].speaker SPEAKER_02
transcript.pyannote[884].start 6470.47971875
transcript.pyannote[884].end 6472.92659375
transcript.pyannote[885].speaker SPEAKER_05
transcript.pyannote[885].start 6473.31471875
transcript.pyannote[885].end 6482.69721875
transcript.pyannote[886].speaker SPEAKER_05
transcript.pyannote[886].start 6483.18659375
transcript.pyannote[886].end 6503.75721875
transcript.pyannote[887].speaker SPEAKER_05
transcript.pyannote[887].start 6505.10721875
transcript.pyannote[887].end 6509.03909375
transcript.pyannote[888].speaker SPEAKER_05
transcript.pyannote[888].start 6509.22471875
transcript.pyannote[888].end 6513.98346875
transcript.pyannote[889].speaker SPEAKER_05
transcript.pyannote[889].start 6514.30409375
transcript.pyannote[889].end 6514.94534375
transcript.pyannote[890].speaker SPEAKER_05
transcript.pyannote[890].start 6515.58659375
transcript.pyannote[890].end 6516.56534375
transcript.pyannote[891].speaker SPEAKER_05
transcript.pyannote[891].start 6516.95346875
transcript.pyannote[891].end 6527.36534375
transcript.pyannote[892].speaker SPEAKER_05
transcript.pyannote[892].start 6527.65221875
transcript.pyannote[892].end 6534.38534375
transcript.pyannote[893].speaker SPEAKER_05
transcript.pyannote[893].start 6534.87471875
transcript.pyannote[893].end 6536.32596875
transcript.pyannote[894].speaker SPEAKER_05
transcript.pyannote[894].start 6537.81096875
transcript.pyannote[894].end 6538.87409375
transcript.pyannote[895].speaker SPEAKER_05
transcript.pyannote[895].start 6541.33784375
transcript.pyannote[895].end 6541.75971875
transcript.pyannote[896].speaker SPEAKER_05
transcript.pyannote[896].start 6541.94534375
transcript.pyannote[896].end 6542.40096875
transcript.pyannote[897].speaker SPEAKER_05
transcript.pyannote[897].start 6542.62034375
transcript.pyannote[897].end 6560.87909375
transcript.pyannote[898].speaker SPEAKER_05
transcript.pyannote[898].start 6562.17846875
transcript.pyannote[898].end 6563.37659375
transcript.pyannote[899].speaker SPEAKER_05
transcript.pyannote[899].start 6564.16971875
transcript.pyannote[899].end 6571.00409375
transcript.pyannote[900].speaker SPEAKER_05
transcript.pyannote[900].start 6571.30784375
transcript.pyannote[900].end 6572.42159375
transcript.pyannote[901].speaker SPEAKER_05
transcript.pyannote[901].start 6573.07971875
transcript.pyannote[901].end 6580.04909375
transcript.pyannote[902].speaker SPEAKER_05
transcript.pyannote[902].start 6580.08284375
transcript.pyannote[902].end 6580.63971875
transcript.pyannote[903].speaker SPEAKER_05
transcript.pyannote[903].start 6582.02346875
transcript.pyannote[903].end 6601.02471875
transcript.pyannote[904].speaker SPEAKER_05
transcript.pyannote[904].start 6602.45909375
transcript.pyannote[904].end 6612.19596875
transcript.pyannote[905].speaker SPEAKER_05
transcript.pyannote[905].start 6612.88784375
transcript.pyannote[905].end 6616.38096875
transcript.pyannote[906].speaker SPEAKER_05
transcript.pyannote[906].start 6616.63409375
transcript.pyannote[906].end 6628.19346875
transcript.pyannote[907].speaker SPEAKER_05
transcript.pyannote[907].start 6628.66596875
transcript.pyannote[907].end 6629.47596875
transcript.pyannote[908].speaker SPEAKER_02
transcript.pyannote[908].start 6635.48346875
transcript.pyannote[908].end 6636.17534375
transcript.pyannote[909].speaker SPEAKER_05
transcript.pyannote[909].start 6636.78284375
transcript.pyannote[909].end 6649.42221875
transcript.pyannote[910].speaker SPEAKER_11
transcript.pyannote[910].start 6640.95096875
transcript.pyannote[910].end 6640.96784375
transcript.pyannote[911].speaker SPEAKER_02
transcript.pyannote[911].start 6640.96784375
transcript.pyannote[911].end 6641.08596875
transcript.pyannote[912].speaker SPEAKER_11
transcript.pyannote[912].start 6641.08596875
transcript.pyannote[912].end 6641.55846875
transcript.pyannote[913].speaker SPEAKER_05
transcript.pyannote[913].start 6649.60784375
transcript.pyannote[913].end 6657.43784375
transcript.pyannote[914].speaker SPEAKER_02
transcript.pyannote[914].start 6657.77534375
transcript.pyannote[914].end 6659.81721875
transcript.pyannote[915].speaker SPEAKER_02
transcript.pyannote[915].start 6664.60971875
transcript.pyannote[915].end 6667.52909375
transcript.pyannote[916].speaker SPEAKER_02
transcript.pyannote[916].start 6667.95096875
transcript.pyannote[916].end 6670.81971875
transcript.pyannote[917].speaker SPEAKER_02
transcript.pyannote[917].start 6671.17409375
transcript.pyannote[917].end 6672.79409375
transcript.pyannote[918].speaker SPEAKER_02
transcript.pyannote[918].start 6673.18221875
transcript.pyannote[918].end 6676.91159375
transcript.pyannote[919].speaker SPEAKER_02
transcript.pyannote[919].start 6677.29971875
transcript.pyannote[919].end 6679.61159375
transcript.pyannote[920].speaker SPEAKER_02
transcript.pyannote[920].start 6680.25284375
transcript.pyannote[920].end 6685.04534375
transcript.pyannote[921].speaker SPEAKER_02
transcript.pyannote[921].start 6685.38284375
transcript.pyannote[921].end 6686.73284375
transcript.pyannote[922].speaker SPEAKER_02
transcript.pyannote[922].start 6687.23909375
transcript.pyannote[922].end 6688.21784375
transcript.pyannote[923].speaker SPEAKER_00
transcript.pyannote[923].start 6692.06534375
transcript.pyannote[923].end 6693.78659375
transcript.pyannote[924].speaker SPEAKER_00
transcript.pyannote[924].start 6694.73159375
transcript.pyannote[924].end 6696.23346875
transcript.pyannote[925].speaker SPEAKER_00
transcript.pyannote[925].start 6697.83659375
transcript.pyannote[925].end 6699.20346875
transcript.pyannote[926].speaker SPEAKER_00
transcript.pyannote[926].start 6700.16534375
transcript.pyannote[926].end 6700.67159375
transcript.pyannote[927].speaker SPEAKER_00
transcript.pyannote[927].start 6700.99221875
transcript.pyannote[927].end 6703.69221875
transcript.pyannote[928].speaker SPEAKER_11
transcript.pyannote[928].start 6704.80596875
transcript.pyannote[928].end 6705.02534375
transcript.pyannote[929].speaker SPEAKER_02
transcript.pyannote[929].start 6705.02534375
transcript.pyannote[929].end 6705.22784375
transcript.pyannote[930].speaker SPEAKER_00
transcript.pyannote[930].start 6705.22784375
transcript.pyannote[930].end 6706.39221875
transcript.pyannote[931].speaker SPEAKER_02
transcript.pyannote[931].start 6705.24471875
transcript.pyannote[931].end 6705.59909375
transcript.pyannote[932].speaker SPEAKER_00
transcript.pyannote[932].start 6707.45534375
transcript.pyannote[932].end 6709.34534375
transcript.pyannote[933].speaker SPEAKER_02
transcript.pyannote[933].start 6709.69971875
transcript.pyannote[933].end 6711.08346875
transcript.pyannote[934].speaker SPEAKER_00
transcript.pyannote[934].start 6716.77034375
transcript.pyannote[934].end 6717.46221875
transcript.pyannote[935].speaker SPEAKER_00
transcript.pyannote[935].start 6718.30596875
transcript.pyannote[935].end 6720.98909375
transcript.pyannote[936].speaker SPEAKER_00
transcript.pyannote[936].start 6721.29284375
transcript.pyannote[936].end 6723.90846875
transcript.pyannote[937].speaker SPEAKER_00
transcript.pyannote[937].start 6724.31346875
transcript.pyannote[937].end 6726.43971875
transcript.pyannote[938].speaker SPEAKER_00
transcript.pyannote[938].start 6726.67596875
transcript.pyannote[938].end 6741.67784375
transcript.pyannote[939].speaker SPEAKER_12
transcript.pyannote[939].start 6742.18409375
transcript.pyannote[939].end 6746.23409375
transcript.pyannote[940].speaker SPEAKER_12
transcript.pyannote[940].start 6746.52096875
transcript.pyannote[940].end 6748.54596875
transcript.pyannote[941].speaker SPEAKER_12
transcript.pyannote[941].start 6748.78221875
transcript.pyannote[941].end 6750.87471875
transcript.pyannote[942].speaker SPEAKER_12
transcript.pyannote[942].start 6751.17846875
transcript.pyannote[942].end 6752.32596875
transcript.pyannote[943].speaker SPEAKER_12
transcript.pyannote[943].start 6752.42721875
transcript.pyannote[943].end 6754.73909375
transcript.pyannote[944].speaker SPEAKER_12
transcript.pyannote[944].start 6755.09346875
transcript.pyannote[944].end 6757.94534375
transcript.pyannote[945].speaker SPEAKER_12
transcript.pyannote[945].start 6758.45159375
transcript.pyannote[945].end 6760.69596875
transcript.pyannote[946].speaker SPEAKER_12
transcript.pyannote[946].start 6760.93221875
transcript.pyannote[946].end 6763.02471875
transcript.pyannote[947].speaker SPEAKER_12
transcript.pyannote[947].start 6763.22721875
transcript.pyannote[947].end 6763.56471875
transcript.pyannote[948].speaker SPEAKER_12
transcript.pyannote[948].start 6763.59846875
transcript.pyannote[948].end 6772.60971875
transcript.pyannote[949].speaker SPEAKER_00
transcript.pyannote[949].start 6765.60659375
transcript.pyannote[949].end 6765.97784375
transcript.pyannote[950].speaker SPEAKER_00
transcript.pyannote[950].start 6772.60971875
transcript.pyannote[950].end 6789.56909375
transcript.pyannote[951].speaker SPEAKER_12
transcript.pyannote[951].start 6789.94034375
transcript.pyannote[951].end 6792.06659375
transcript.pyannote[952].speaker SPEAKER_12
transcript.pyannote[952].start 6792.45471875
transcript.pyannote[952].end 6798.07409375
transcript.pyannote[953].speaker SPEAKER_12
transcript.pyannote[953].start 6798.25971875
transcript.pyannote[953].end 6801.87096875
transcript.pyannote[954].speaker SPEAKER_12
transcript.pyannote[954].start 6801.93846875
transcript.pyannote[954].end 6803.30534375
transcript.pyannote[955].speaker SPEAKER_00
transcript.pyannote[955].start 6803.37284375
transcript.pyannote[955].end 6804.31784375
transcript.pyannote[956].speaker SPEAKER_00
transcript.pyannote[956].start 6805.63409375
transcript.pyannote[956].end 6806.20784375
transcript.pyannote[957].speaker SPEAKER_00
transcript.pyannote[957].start 6806.59596875
transcript.pyannote[957].end 6810.91596875
transcript.pyannote[958].speaker SPEAKER_00
transcript.pyannote[958].start 6810.96659375
transcript.pyannote[958].end 6810.98346875
transcript.pyannote[959].speaker SPEAKER_00
transcript.pyannote[959].start 6811.27034375
transcript.pyannote[959].end 6812.67096875
transcript.pyannote[960].speaker SPEAKER_00
transcript.pyannote[960].start 6812.97471875
transcript.pyannote[960].end 6817.07534375
transcript.pyannote[961].speaker SPEAKER_00
transcript.pyannote[961].start 6817.36221875
transcript.pyannote[961].end 6825.17534375
transcript.pyannote[962].speaker SPEAKER_11
transcript.pyannote[962].start 6818.32409375
transcript.pyannote[962].end 6818.40846875
transcript.pyannote[963].speaker SPEAKER_11
transcript.pyannote[963].start 6818.57721875
transcript.pyannote[963].end 6818.69534375
transcript.pyannote[964].speaker SPEAKER_11
transcript.pyannote[964].start 6824.53409375
transcript.pyannote[964].end 6824.68596875
transcript.pyannote[965].speaker SPEAKER_11
transcript.pyannote[965].start 6824.70284375
transcript.pyannote[965].end 6824.80409375
transcript.pyannote[966].speaker SPEAKER_00
transcript.pyannote[966].start 6825.54659375
transcript.pyannote[966].end 6827.63909375
transcript.pyannote[967].speaker SPEAKER_00
transcript.pyannote[967].start 6827.99346875
transcript.pyannote[967].end 6829.49534375
transcript.pyannote[968].speaker SPEAKER_00
transcript.pyannote[968].start 6831.55409375
transcript.pyannote[968].end 6832.12784375
transcript.pyannote[969].speaker SPEAKER_00
transcript.pyannote[969].start 6832.21221875
transcript.pyannote[969].end 6835.14846875
transcript.pyannote[970].speaker SPEAKER_00
transcript.pyannote[970].start 6835.78971875
transcript.pyannote[970].end 6838.03409375
transcript.pyannote[971].speaker SPEAKER_00
transcript.pyannote[971].start 6838.30409375
transcript.pyannote[971].end 6839.26596875
transcript.pyannote[972].speaker SPEAKER_00
transcript.pyannote[972].start 6839.75534375
transcript.pyannote[972].end 6843.94034375
transcript.pyannote[973].speaker SPEAKER_00
transcript.pyannote[973].start 6844.31159375
transcript.pyannote[973].end 6848.42909375
transcript.pyannote[974].speaker SPEAKER_00
transcript.pyannote[974].start 6848.66534375
transcript.pyannote[974].end 6853.05284375
transcript.pyannote[975].speaker SPEAKER_00
transcript.pyannote[975].start 6853.08659375
transcript.pyannote[975].end 6855.83721875
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 6856.34346875
transcript.pyannote[976].end 6863.07659375
transcript.pyannote[977].speaker SPEAKER_10
transcript.pyannote[977].start 6863.36346875
transcript.pyannote[977].end 6898.15971875
transcript.pyannote[978].speaker SPEAKER_00
transcript.pyannote[978].start 6899.50971875
transcript.pyannote[978].end 6900.08346875
transcript.pyannote[979].speaker SPEAKER_00
transcript.pyannote[979].start 6900.75846875
transcript.pyannote[979].end 6902.69909375
transcript.pyannote[980].speaker SPEAKER_00
transcript.pyannote[980].start 6903.76221875
transcript.pyannote[980].end 6907.15409375
transcript.pyannote[981].speaker SPEAKER_00
transcript.pyannote[981].start 6907.35659375
transcript.pyannote[981].end 6908.06534375
transcript.pyannote[982].speaker SPEAKER_10
transcript.pyannote[982].start 6908.06534375
transcript.pyannote[982].end 6910.37721875
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 6910.64721875
transcript.pyannote[983].end 6916.57034375
transcript.pyannote[984].speaker SPEAKER_00
transcript.pyannote[984].start 6910.71471875
transcript.pyannote[984].end 6911.54159375
transcript.pyannote[985].speaker SPEAKER_00
transcript.pyannote[985].start 6914.57909375
transcript.pyannote[985].end 6915.59159375
transcript.pyannote[986].speaker SPEAKER_00
transcript.pyannote[986].start 6916.73909375
transcript.pyannote[986].end 6920.89034375
transcript.pyannote[987].speaker SPEAKER_10
transcript.pyannote[987].start 6916.92471875
transcript.pyannote[987].end 6917.26221875
transcript.pyannote[988].speaker SPEAKER_10
transcript.pyannote[988].start 6920.95784375
transcript.pyannote[988].end 6927.06659375
transcript.pyannote[989].speaker SPEAKER_00
transcript.pyannote[989].start 6926.57721875
transcript.pyannote[989].end 6930.50909375
transcript.pyannote[990].speaker SPEAKER_10
transcript.pyannote[990].start 6930.20534375
transcript.pyannote[990].end 6933.25971875
transcript.pyannote[991].speaker SPEAKER_00
transcript.pyannote[991].start 6932.95596875
transcript.pyannote[991].end 6932.98971875
transcript.pyannote[992].speaker SPEAKER_00
transcript.pyannote[992].start 6933.71534375
transcript.pyannote[992].end 6937.10721875
transcript.pyannote[993].speaker SPEAKER_10
transcript.pyannote[993].start 6936.16221875
transcript.pyannote[993].end 6937.69784375
transcript.pyannote[994].speaker SPEAKER_00
transcript.pyannote[994].start 6938.40659375
transcript.pyannote[994].end 6938.77784375
transcript.pyannote[995].speaker SPEAKER_00
transcript.pyannote[995].start 6939.06471875
transcript.pyannote[995].end 6941.20784375
transcript.pyannote[996].speaker SPEAKER_00
transcript.pyannote[996].start 6941.44409375
transcript.pyannote[996].end 6948.63284375
transcript.pyannote[997].speaker SPEAKER_00
transcript.pyannote[997].start 6949.08846875
transcript.pyannote[997].end 6953.00346875
transcript.pyannote[998].speaker SPEAKER_10
transcript.pyannote[998].start 6950.99534375
transcript.pyannote[998].end 6951.99096875
transcript.pyannote[999].speaker SPEAKER_10
transcript.pyannote[999].start 6952.12596875
transcript.pyannote[999].end 6952.15971875
transcript.pyannote[1000].speaker SPEAKER_00
transcript.pyannote[1000].start 6953.71221875
transcript.pyannote[1000].end 6964.42784375
transcript.pyannote[1001].speaker SPEAKER_10
transcript.pyannote[1001].start 6956.49659375
transcript.pyannote[1001].end 6958.38659375
transcript.pyannote[1002].speaker SPEAKER_10
transcript.pyannote[1002].start 6958.74096875
transcript.pyannote[1002].end 6959.58471875
transcript.pyannote[1003].speaker SPEAKER_00
transcript.pyannote[1003].start 6964.47846875
transcript.pyannote[1003].end 6972.93284375
transcript.pyannote[1004].speaker SPEAKER_10
transcript.pyannote[1004].start 6972.93284375
transcript.pyannote[1004].end 6974.46846875
transcript.pyannote[1005].speaker SPEAKER_00
transcript.pyannote[1005].start 6973.37159375
transcript.pyannote[1005].end 6974.13096875
transcript.pyannote[1006].speaker SPEAKER_00
transcript.pyannote[1006].start 6974.46846875
transcript.pyannote[1006].end 6978.88971875
transcript.pyannote[1007].speaker SPEAKER_00
transcript.pyannote[1007].start 6979.41284375
transcript.pyannote[1007].end 6982.75409375
transcript.pyannote[1008].speaker SPEAKER_10
transcript.pyannote[1008].start 6982.90596875
transcript.pyannote[1008].end 6989.55471875
transcript.pyannote[1009].speaker SPEAKER_00
transcript.pyannote[1009].start 6989.95971875
transcript.pyannote[1009].end 6989.97659375
transcript.pyannote[1010].speaker SPEAKER_10
transcript.pyannote[1010].start 6989.97659375
transcript.pyannote[1010].end 7005.24846875
transcript.pyannote[1011].speaker SPEAKER_00
transcript.pyannote[1011].start 6989.99346875
transcript.pyannote[1011].end 6990.63471875
transcript.pyannote[1012].speaker SPEAKER_00
transcript.pyannote[1012].start 6991.14096875
transcript.pyannote[1012].end 6991.49534375
transcript.pyannote[1013].speaker SPEAKER_00
transcript.pyannote[1013].start 6991.93409375
transcript.pyannote[1013].end 6992.62596875
transcript.pyannote[1014].speaker SPEAKER_00
transcript.pyannote[1014].start 6992.99721875
transcript.pyannote[1014].end 6993.43596875
transcript.pyannote[1015].speaker SPEAKER_00
transcript.pyannote[1015].start 6996.74346875
transcript.pyannote[1015].end 6996.76034375
transcript.pyannote[1016].speaker SPEAKER_11
transcript.pyannote[1016].start 6996.76034375
transcript.pyannote[1016].end 6996.77721875
transcript.pyannote[1017].speaker SPEAKER_00
transcript.pyannote[1017].start 6996.77721875
transcript.pyannote[1017].end 6998.70096875
transcript.pyannote[1018].speaker SPEAKER_11
transcript.pyannote[1018].start 6998.70096875
transcript.pyannote[1018].end 6998.80221875
transcript.pyannote[1019].speaker SPEAKER_00
transcript.pyannote[1019].start 7005.33284375
transcript.pyannote[1019].end 7005.61971875
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 7005.78846875
transcript.pyannote[1020].end 7007.13846875
transcript.pyannote[1021].speaker SPEAKER_00
transcript.pyannote[1021].start 7007.29034375
transcript.pyannote[1021].end 7010.24346875
transcript.pyannote[1022].speaker SPEAKER_00
transcript.pyannote[1022].start 7010.69909375
transcript.pyannote[1022].end 7011.40784375
transcript.pyannote[1023].speaker SPEAKER_00
transcript.pyannote[1023].start 7011.89721875
transcript.pyannote[1023].end 7014.76596875
transcript.pyannote[1024].speaker SPEAKER_00
transcript.pyannote[1024].start 7015.05284375
transcript.pyannote[1024].end 7017.65159375
transcript.pyannote[1025].speaker SPEAKER_00
transcript.pyannote[1025].start 7018.02284375
transcript.pyannote[1025].end 7020.09846875
transcript.pyannote[1026].speaker SPEAKER_00
transcript.pyannote[1026].start 7020.58784375
transcript.pyannote[1026].end 7021.31346875
transcript.pyannote[1027].speaker SPEAKER_00
transcript.pyannote[1027].start 7021.56659375
transcript.pyannote[1027].end 7029.04221875
transcript.pyannote[1028].speaker SPEAKER_10
transcript.pyannote[1028].start 7030.49346875
transcript.pyannote[1028].end 7038.30659375
transcript.pyannote[1029].speaker SPEAKER_00
transcript.pyannote[1029].start 7035.08346875
transcript.pyannote[1029].end 7035.18471875
transcript.pyannote[1030].speaker SPEAKER_00
transcript.pyannote[1030].start 7035.23534375
transcript.pyannote[1030].end 7036.55159375
transcript.pyannote[1031].speaker SPEAKER_00
transcript.pyannote[1031].start 7037.47971875
transcript.pyannote[1031].end 7037.80034375
transcript.pyannote[1032].speaker SPEAKER_00
transcript.pyannote[1032].start 7038.30659375
transcript.pyannote[1032].end 7041.17534375
transcript.pyannote[1033].speaker SPEAKER_10
transcript.pyannote[1033].start 7038.34034375
transcript.pyannote[1033].end 7038.77909375
transcript.pyannote[1034].speaker SPEAKER_10
transcript.pyannote[1034].start 7041.29346875
transcript.pyannote[1034].end 7048.49909375
transcript.pyannote[1035].speaker SPEAKER_00
transcript.pyannote[1035].start 7041.76596875
transcript.pyannote[1035].end 7041.96846875
transcript.pyannote[1036].speaker SPEAKER_00
transcript.pyannote[1036].start 7043.50409375
transcript.pyannote[1036].end 7043.94284375
transcript.pyannote[1037].speaker SPEAKER_00
transcript.pyannote[1037].start 7045.90034375
transcript.pyannote[1037].end 7047.70596875
transcript.pyannote[1038].speaker SPEAKER_00
transcript.pyannote[1038].start 7048.26284375
transcript.pyannote[1038].end 7056.12659375
transcript.pyannote[1039].speaker SPEAKER_10
transcript.pyannote[1039].start 7049.61284375
transcript.pyannote[1039].end 7050.55784375
transcript.pyannote[1040].speaker SPEAKER_11
transcript.pyannote[1040].start 7050.55784375
transcript.pyannote[1040].end 7050.59159375
transcript.pyannote[1041].speaker SPEAKER_10
transcript.pyannote[1041].start 7053.27471875
transcript.pyannote[1041].end 7054.54034375
transcript.pyannote[1042].speaker SPEAKER_00
transcript.pyannote[1042].start 7056.48096875
transcript.pyannote[1042].end 7061.61096875
transcript.pyannote[1043].speaker SPEAKER_10
transcript.pyannote[1043].start 7061.54346875
transcript.pyannote[1043].end 7064.61471875
transcript.pyannote[1044].speaker SPEAKER_00
transcript.pyannote[1044].start 7062.47159375
transcript.pyannote[1044].end 7065.86346875
transcript.pyannote[1045].speaker SPEAKER_00
transcript.pyannote[1045].start 7066.04909375
transcript.pyannote[1045].end 7067.73659375
transcript.pyannote[1046].speaker SPEAKER_00
transcript.pyannote[1046].start 7073.38971875
transcript.pyannote[1046].end 7074.18284375
transcript.pyannote[1047].speaker SPEAKER_00
transcript.pyannote[1047].start 7074.63846875
transcript.pyannote[1047].end 7075.92096875
transcript.pyannote[1048].speaker SPEAKER_19
transcript.pyannote[1048].start 7075.92096875
transcript.pyannote[1048].end 7075.95471875
transcript.pyannote[1049].speaker SPEAKER_00
transcript.pyannote[1049].start 7076.25846875
transcript.pyannote[1049].end 7080.42659375
transcript.pyannote[1050].speaker SPEAKER_00
transcript.pyannote[1050].start 7080.54471875
transcript.pyannote[1050].end 7083.83534375
transcript.pyannote[1051].speaker SPEAKER_19
transcript.pyannote[1051].start 7084.05471875
transcript.pyannote[1051].end 7084.94909375
transcript.pyannote[1052].speaker SPEAKER_19
transcript.pyannote[1052].start 7085.13471875
transcript.pyannote[1052].end 7086.45096875
transcript.pyannote[1053].speaker SPEAKER_00
transcript.pyannote[1053].start 7085.28659375
transcript.pyannote[1053].end 7085.82659375
transcript.pyannote[1054].speaker SPEAKER_19
transcript.pyannote[1054].start 7086.51846875
transcript.pyannote[1054].end 7091.46284375
transcript.pyannote[1055].speaker SPEAKER_19
transcript.pyannote[1055].start 7091.58096875
transcript.pyannote[1055].end 7092.55971875
transcript.pyannote[1056].speaker SPEAKER_00
transcript.pyannote[1056].start 7092.50909375
transcript.pyannote[1056].end 7092.88034375
transcript.pyannote[1057].speaker SPEAKER_00
transcript.pyannote[1057].start 7093.16721875
transcript.pyannote[1057].end 7093.80846875
transcript.pyannote[1058].speaker SPEAKER_00
transcript.pyannote[1058].start 7094.04471875
transcript.pyannote[1058].end 7097.79096875
transcript.pyannote[1059].speaker SPEAKER_19
transcript.pyannote[1059].start 7095.79971875
transcript.pyannote[1059].end 7096.23846875
transcript.pyannote[1060].speaker SPEAKER_00
transcript.pyannote[1060].start 7098.06096875
transcript.pyannote[1060].end 7100.65971875
transcript.pyannote[1061].speaker SPEAKER_00
transcript.pyannote[1061].start 7100.98034375
transcript.pyannote[1061].end 7103.22471875
transcript.pyannote[1062].speaker SPEAKER_00
transcript.pyannote[1062].start 7103.59596875
transcript.pyannote[1062].end 7104.72659375
transcript.pyannote[1063].speaker SPEAKER_00
transcript.pyannote[1063].start 7105.24971875
transcript.pyannote[1063].end 7112.50596875
transcript.pyannote[1064].speaker SPEAKER_00
transcript.pyannote[1064].start 7112.67471875
transcript.pyannote[1064].end 7114.32846875
transcript.pyannote[1065].speaker SPEAKER_00
transcript.pyannote[1065].start 7114.76721875
transcript.pyannote[1065].end 7118.12534375
transcript.pyannote[1066].speaker SPEAKER_00
transcript.pyannote[1066].start 7118.36159375
transcript.pyannote[1066].end 7119.08721875
transcript.pyannote[1067].speaker SPEAKER_00
transcript.pyannote[1067].start 7119.28971875
transcript.pyannote[1067].end 7120.52159375
transcript.pyannote[1068].speaker SPEAKER_00
transcript.pyannote[1068].start 7120.99409375
transcript.pyannote[1068].end 7129.97159375
transcript.pyannote[1069].speaker SPEAKER_00
transcript.pyannote[1069].start 7130.25846875
transcript.pyannote[1069].end 7131.35534375
transcript.pyannote[1070].speaker SPEAKER_00
transcript.pyannote[1070].start 7131.79409375
transcript.pyannote[1070].end 7132.21596875
transcript.pyannote[1071].speaker SPEAKER_00
transcript.pyannote[1071].start 7132.72221875
transcript.pyannote[1071].end 7137.71721875
transcript.pyannote[1072].speaker SPEAKER_00
transcript.pyannote[1072].start 7138.22346875
transcript.pyannote[1072].end 7140.34971875
transcript.pyannote[1073].speaker SPEAKER_00
transcript.pyannote[1073].start 7141.00784375
transcript.pyannote[1073].end 7143.45471875
transcript.pyannote[1074].speaker SPEAKER_00
transcript.pyannote[1074].start 7143.77534375
transcript.pyannote[1074].end 7146.59346875
transcript.pyannote[1075].speaker SPEAKER_00
transcript.pyannote[1075].start 7146.94784375
transcript.pyannote[1075].end 7153.47846875
transcript.pyannote[1076].speaker SPEAKER_00
transcript.pyannote[1076].start 7154.20409375
transcript.pyannote[1076].end 7157.54534375
transcript.pyannote[1077].speaker SPEAKER_00
transcript.pyannote[1077].start 7157.91659375
transcript.pyannote[1077].end 7158.40596875
transcript.pyannote[1078].speaker SPEAKER_00
transcript.pyannote[1078].start 7158.70971875
transcript.pyannote[1078].end 7161.59534375
transcript.pyannote[1079].speaker SPEAKER_00
transcript.pyannote[1079].start 7162.05096875
transcript.pyannote[1079].end 7166.18534375
transcript.pyannote[1080].speaker SPEAKER_00
transcript.pyannote[1080].start 7166.62409375
transcript.pyannote[1080].end 7168.73346875
transcript.pyannote[1081].speaker SPEAKER_02
transcript.pyannote[1081].start 7169.08784375
transcript.pyannote[1081].end 7170.33659375
transcript.pyannote[1082].speaker SPEAKER_00
transcript.pyannote[1082].start 7169.56034375
transcript.pyannote[1082].end 7169.79659375
transcript.pyannote[1083].speaker SPEAKER_00
transcript.pyannote[1083].start 7169.99909375
transcript.pyannote[1083].end 7170.89346875
transcript.pyannote[1084].speaker SPEAKER_02
transcript.pyannote[1084].start 7171.63596875
transcript.pyannote[1084].end 7173.10409375
transcript.pyannote[1085].speaker SPEAKER_02
transcript.pyannote[1085].start 7173.32346875
transcript.pyannote[1085].end 7175.36534375
transcript.pyannote[1086].speaker SPEAKER_02
transcript.pyannote[1086].start 7578.59346875
transcript.pyannote[1086].end 7578.93096875
transcript.pyannote[1087].speaker SPEAKER_11
transcript.pyannote[1087].start 7578.93096875
transcript.pyannote[1087].end 7579.30221875
transcript.pyannote[1088].speaker SPEAKER_11
transcript.pyannote[1088].start 7579.97721875
transcript.pyannote[1088].end 7580.73659375
transcript.pyannote[1089].speaker SPEAKER_02
transcript.pyannote[1089].start 7580.73659375
transcript.pyannote[1089].end 7582.30596875
transcript.pyannote[1090].speaker SPEAKER_11
transcript.pyannote[1090].start 7580.75346875
transcript.pyannote[1090].end 7580.78721875
transcript.pyannote[1091].speaker SPEAKER_11
transcript.pyannote[1091].start 7581.02346875
transcript.pyannote[1091].end 7581.14159375
transcript.pyannote[1092].speaker SPEAKER_09
transcript.pyannote[1092].start 7611.87096875
transcript.pyannote[1092].end 7612.36034375
transcript.pyannote[1093].speaker SPEAKER_09
transcript.pyannote[1093].start 7613.44034375
transcript.pyannote[1093].end 7618.65471875
transcript.pyannote[1094].speaker SPEAKER_09
transcript.pyannote[1094].start 7628.62784375
transcript.pyannote[1094].end 7628.96534375
transcript.pyannote[1095].speaker SPEAKER_02
transcript.pyannote[1095].start 7629.60659375
transcript.pyannote[1095].end 7631.88471875
transcript.pyannote[1096].speaker SPEAKER_02
transcript.pyannote[1096].start 7632.22221875
transcript.pyannote[1096].end 7633.31909375
transcript.pyannote[1097].speaker SPEAKER_02
transcript.pyannote[1097].start 7634.19659375
transcript.pyannote[1097].end 7634.98971875
transcript.pyannote[1098].speaker SPEAKER_09
transcript.pyannote[1098].start 7635.37784375
transcript.pyannote[1098].end 7636.28909375
transcript.pyannote[1099].speaker SPEAKER_07
transcript.pyannote[1099].start 7636.28909375
transcript.pyannote[1099].end 7636.30596875
transcript.pyannote[1100].speaker SPEAKER_07
transcript.pyannote[1100].start 7641.58784375
transcript.pyannote[1100].end 7642.38096875
transcript.pyannote[1101].speaker SPEAKER_09
transcript.pyannote[1101].start 7654.88534375
transcript.pyannote[1101].end 7655.69534375
transcript.pyannote[1102].speaker SPEAKER_09
transcript.pyannote[1102].start 7656.06659375
transcript.pyannote[1102].end 7657.24784375
transcript.pyannote[1103].speaker SPEAKER_15
transcript.pyannote[1103].start 7657.78784375
transcript.pyannote[1103].end 7658.26034375
transcript.pyannote[1104].speaker SPEAKER_07
transcript.pyannote[1104].start 7672.28346875
transcript.pyannote[1104].end 7673.21159375
transcript.pyannote[1105].speaker SPEAKER_09
transcript.pyannote[1105].start 7689.10784375
transcript.pyannote[1105].end 7692.07784375
transcript.pyannote[1106].speaker SPEAKER_11
transcript.pyannote[1106].start 7692.26346875
transcript.pyannote[1106].end 7692.28034375
transcript.pyannote[1107].speaker SPEAKER_02
transcript.pyannote[1107].start 7692.28034375
transcript.pyannote[1107].end 7695.11534375
transcript.pyannote[1108].speaker SPEAKER_09
transcript.pyannote[1108].start 7692.39846875
transcript.pyannote[1108].end 7695.19971875
transcript.pyannote[1109].speaker SPEAKER_02
transcript.pyannote[1109].start 7695.19971875
transcript.pyannote[1109].end 7695.21659375
transcript.pyannote[1110].speaker SPEAKER_09
transcript.pyannote[1110].start 7695.21659375
transcript.pyannote[1110].end 7696.11096875
transcript.pyannote[1111].speaker SPEAKER_02
transcript.pyannote[1111].start 7696.11096875
transcript.pyannote[1111].end 7696.14471875
transcript.pyannote[1112].speaker SPEAKER_02
transcript.pyannote[1112].start 7696.33034375
transcript.pyannote[1112].end 7698.47346875
transcript.pyannote[1113].speaker SPEAKER_02
transcript.pyannote[1113].start 7698.49034375
transcript.pyannote[1113].end 7699.08096875
transcript.pyannote[1114].speaker SPEAKER_02
transcript.pyannote[1114].start 7700.53221875
transcript.pyannote[1114].end 7701.20721875
transcript.pyannote[1115].speaker SPEAKER_02
transcript.pyannote[1115].start 7703.06346875
transcript.pyannote[1115].end 7707.29909375
transcript.pyannote[1116].speaker SPEAKER_02
transcript.pyannote[1116].start 7707.75471875
transcript.pyannote[1116].end 7709.10471875
transcript.pyannote[1117].speaker SPEAKER_02
transcript.pyannote[1117].start 7709.37471875
transcript.pyannote[1117].end 7719.49971875
transcript.pyannote[1118].speaker SPEAKER_02
transcript.pyannote[1118].start 7719.82034375
transcript.pyannote[1118].end 7724.74784375
transcript.pyannote[1119].speaker SPEAKER_02
transcript.pyannote[1119].start 7725.47346875
transcript.pyannote[1119].end 7725.81096875
transcript.pyannote[1120].speaker SPEAKER_02
transcript.pyannote[1120].start 7726.46909375
transcript.pyannote[1120].end 7727.31284375
transcript.pyannote[1121].speaker SPEAKER_02
transcript.pyannote[1121].start 7727.65034375
transcript.pyannote[1121].end 7730.26596875
transcript.pyannote[1122].speaker SPEAKER_02
transcript.pyannote[1122].start 7730.95784375
transcript.pyannote[1122].end 7733.33721875
transcript.pyannote[1123].speaker SPEAKER_02
transcript.pyannote[1123].start 7734.11346875
transcript.pyannote[1123].end 7737.50534375
transcript.pyannote[1124].speaker SPEAKER_02
transcript.pyannote[1124].start 7737.96096875
transcript.pyannote[1124].end 7747.46159375
transcript.pyannote[1125].speaker SPEAKER_02
transcript.pyannote[1125].start 7747.93409375
transcript.pyannote[1125].end 7749.57096875
transcript.pyannote[1126].speaker SPEAKER_02
transcript.pyannote[1126].start 7750.43159375
transcript.pyannote[1126].end 7752.42284375
transcript.pyannote[1127].speaker SPEAKER_02
transcript.pyannote[1127].start 7752.57471875
transcript.pyannote[1127].end 7753.21596875
transcript.pyannote[1128].speaker SPEAKER_02
transcript.pyannote[1128].start 7754.24534375
transcript.pyannote[1128].end 7755.00471875
transcript.pyannote[1129].speaker SPEAKER_02
transcript.pyannote[1129].start 7755.98346875
transcript.pyannote[1129].end 7759.45971875
transcript.pyannote[1130].speaker SPEAKER_02
transcript.pyannote[1130].start 7760.60721875
transcript.pyannote[1130].end 7762.44659375
transcript.pyannote[1131].speaker SPEAKER_02
transcript.pyannote[1131].start 7762.85159375
transcript.pyannote[1131].end 7764.80909375
transcript.pyannote[1132].speaker SPEAKER_02
transcript.pyannote[1132].start 7765.24784375
transcript.pyannote[1132].end 7766.81721875
transcript.pyannote[1133].speaker SPEAKER_02
transcript.pyannote[1133].start 7767.37409375
transcript.pyannote[1133].end 7768.75784375
transcript.pyannote[1134].speaker SPEAKER_02
transcript.pyannote[1134].start 7769.14596875
transcript.pyannote[1134].end 7770.83346875
transcript.pyannote[1135].speaker SPEAKER_02
transcript.pyannote[1135].start 7771.37346875
transcript.pyannote[1135].end 7774.51221875
transcript.pyannote[1136].speaker SPEAKER_02
transcript.pyannote[1136].start 7775.17034375
transcript.pyannote[1136].end 7776.65534375
transcript.pyannote[1137].speaker SPEAKER_02
transcript.pyannote[1137].start 7776.97596875
transcript.pyannote[1137].end 7779.67596875
transcript.pyannote[1138].speaker SPEAKER_02
transcript.pyannote[1138].start 7780.26659375
transcript.pyannote[1138].end 7782.00471875
transcript.pyannote[1139].speaker SPEAKER_02
transcript.pyannote[1139].start 7782.25784375
transcript.pyannote[1139].end 7786.13909375
transcript.pyannote[1140].speaker SPEAKER_02
transcript.pyannote[1140].start 7786.52721875
transcript.pyannote[1140].end 7787.64096875
transcript.pyannote[1141].speaker SPEAKER_02
transcript.pyannote[1141].start 7788.85596875
transcript.pyannote[1141].end 7789.63221875
transcript.pyannote[1142].speaker SPEAKER_02
transcript.pyannote[1142].start 7790.67846875
transcript.pyannote[1142].end 7792.68659375
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 7793.17596875
transcript.pyannote[1143].end 7794.03659375
transcript.pyannote[1144].speaker SPEAKER_02
transcript.pyannote[1144].start 7794.10409375
transcript.pyannote[1144].end 7794.69471875
transcript.pyannote[1145].speaker SPEAKER_02
transcript.pyannote[1145].start 7795.35284375
transcript.pyannote[1145].end 7796.88846875
transcript.pyannote[1146].speaker SPEAKER_02
transcript.pyannote[1146].start 7797.32721875
transcript.pyannote[1146].end 7797.68159375
transcript.pyannote[1147].speaker SPEAKER_02
transcript.pyannote[1147].start 7797.90096875
transcript.pyannote[1147].end 7799.75721875
transcript.pyannote[1148].speaker SPEAKER_02
transcript.pyannote[1148].start 7800.49971875
transcript.pyannote[1148].end 7801.54596875
transcript.pyannote[1149].speaker SPEAKER_02
transcript.pyannote[1149].start 7804.27971875
transcript.pyannote[1149].end 7811.18159375
transcript.pyannote[1150].speaker SPEAKER_02
transcript.pyannote[1150].start 7812.95346875
transcript.pyannote[1150].end 7815.46784375
transcript.pyannote[1151].speaker SPEAKER_02
transcript.pyannote[1151].start 7816.24409375
transcript.pyannote[1151].end 7818.33659375
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 7819.16346875
transcript.pyannote[1152].end 7819.63596875
transcript.pyannote[1153].speaker SPEAKER_02
transcript.pyannote[1153].start 7820.46284375
transcript.pyannote[1153].end 7820.93534375
transcript.pyannote[1154].speaker SPEAKER_02
transcript.pyannote[1154].start 7822.72409375
transcript.pyannote[1154].end 7823.63534375
transcript.pyannote[1155].speaker SPEAKER_02
transcript.pyannote[1155].start 7824.05721875
transcript.pyannote[1155].end 7825.49159375
transcript.pyannote[1156].speaker SPEAKER_02
transcript.pyannote[1156].start 7825.86284375
transcript.pyannote[1156].end 7826.85846875
transcript.pyannote[1157].speaker SPEAKER_02
transcript.pyannote[1157].start 7827.34784375
transcript.pyannote[1157].end 7828.14096875
transcript.pyannote[1158].speaker SPEAKER_02
transcript.pyannote[1158].start 7828.57971875
transcript.pyannote[1158].end 7830.03096875
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 7830.35159375
transcript.pyannote[1159].end 7830.85784375
transcript.pyannote[1160].speaker SPEAKER_02
transcript.pyannote[1160].start 7831.70159375
transcript.pyannote[1160].end 7837.79346875
transcript.pyannote[1161].speaker SPEAKER_09
transcript.pyannote[1161].start 7838.85659375
transcript.pyannote[1161].end 7838.95784375
transcript.pyannote[1162].speaker SPEAKER_10
transcript.pyannote[1162].start 7838.95784375
transcript.pyannote[1162].end 7838.97471875
transcript.pyannote[1163].speaker SPEAKER_09
transcript.pyannote[1163].start 7838.97471875
transcript.pyannote[1163].end 7839.64971875
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 7839.64971875
transcript.pyannote[1164].end 7841.60721875
transcript.pyannote[1165].speaker SPEAKER_09
transcript.pyannote[1165].start 7839.73409375
transcript.pyannote[1165].end 7839.75096875
transcript.pyannote[1166].speaker SPEAKER_02
transcript.pyannote[1166].start 7839.75096875
transcript.pyannote[1166].end 7839.86909375
transcript.pyannote[1167].speaker SPEAKER_09
transcript.pyannote[1167].start 7839.86909375
transcript.pyannote[1167].end 7839.98721875
transcript.pyannote[1168].speaker SPEAKER_02
transcript.pyannote[1168].start 7839.98721875
transcript.pyannote[1168].end 7840.35846875
transcript.pyannote[1169].speaker SPEAKER_09
transcript.pyannote[1169].start 7840.35846875
transcript.pyannote[1169].end 7841.05034375
transcript.pyannote[1170].speaker SPEAKER_10
transcript.pyannote[1170].start 7841.64096875
transcript.pyannote[1170].end 7850.14596875
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 7850.14596875
transcript.pyannote[1171].end 7850.29784375
transcript.pyannote[1172].speaker SPEAKER_10
transcript.pyannote[1172].start 7850.29784375
transcript.pyannote[1172].end 7850.65221875
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 7850.65221875
transcript.pyannote[1173].end 7850.97284375
transcript.pyannote[1174].speaker SPEAKER_10
transcript.pyannote[1174].start 7850.97284375
transcript.pyannote[1174].end 7851.49596875
transcript.pyannote[1175].speaker SPEAKER_02
transcript.pyannote[1175].start 7851.49596875
transcript.pyannote[1175].end 7851.51284375
transcript.pyannote[1176].speaker SPEAKER_07
transcript.pyannote[1176].start 7853.67284375
transcript.pyannote[1176].end 7869.38346875
transcript.pyannote[1177].speaker SPEAKER_07
transcript.pyannote[1177].start 7869.92346875
transcript.pyannote[1177].end 7871.08784375
transcript.pyannote[1178].speaker SPEAKER_07
transcript.pyannote[1178].start 7871.37471875
transcript.pyannote[1178].end 7876.09971875
transcript.pyannote[1179].speaker SPEAKER_07
transcript.pyannote[1179].start 7876.43721875
transcript.pyannote[1179].end 7881.16221875
transcript.pyannote[1180].speaker SPEAKER_07
transcript.pyannote[1180].start 7881.66846875
transcript.pyannote[1180].end 7885.51596875
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 7885.81971875
transcript.pyannote[1181].end 7888.57034375
transcript.pyannote[1182].speaker SPEAKER_07
transcript.pyannote[1182].start 7888.62096875
transcript.pyannote[1182].end 7914.13596875
transcript.pyannote[1183].speaker SPEAKER_07
transcript.pyannote[1183].start 7914.60846875
transcript.pyannote[1183].end 7918.03409375
transcript.pyannote[1184].speaker SPEAKER_07
transcript.pyannote[1184].start 7918.52346875
transcript.pyannote[1184].end 7926.21846875
transcript.pyannote[1185].speaker SPEAKER_07
transcript.pyannote[1185].start 7926.53909375
transcript.pyannote[1185].end 7929.28971875
transcript.pyannote[1186].speaker SPEAKER_07
transcript.pyannote[1186].start 7929.62721875
transcript.pyannote[1186].end 7932.71534375
transcript.pyannote[1187].speaker SPEAKER_07
transcript.pyannote[1187].start 7932.95159375
transcript.pyannote[1187].end 7935.34784375
transcript.pyannote[1188].speaker SPEAKER_07
transcript.pyannote[1188].start 7935.58409375
transcript.pyannote[1188].end 7975.64534375
transcript.pyannote[1189].speaker SPEAKER_07
transcript.pyannote[1189].start 7976.01659375
transcript.pyannote[1189].end 7977.19784375
transcript.pyannote[1190].speaker SPEAKER_02
transcript.pyannote[1190].start 7977.38346875
transcript.pyannote[1190].end 7981.87221875
transcript.pyannote[1191].speaker SPEAKER_02
transcript.pyannote[1191].start 7982.00721875
transcript.pyannote[1191].end 7990.36034375
transcript.pyannote[1192].speaker SPEAKER_02
transcript.pyannote[1192].start 7990.86659375
transcript.pyannote[1192].end 8003.67471875
transcript.pyannote[1193].speaker SPEAKER_02
transcript.pyannote[1193].start 8003.94471875
transcript.pyannote[1193].end 8005.44659375
transcript.pyannote[1194].speaker SPEAKER_02
transcript.pyannote[1194].start 8006.05409375
transcript.pyannote[1194].end 8007.40409375
transcript.pyannote[1195].speaker SPEAKER_02
transcript.pyannote[1195].start 8007.77534375
transcript.pyannote[1195].end 8009.88471875
transcript.pyannote[1196].speaker SPEAKER_02
transcript.pyannote[1196].start 8010.30659375
transcript.pyannote[1196].end 8011.01534375
transcript.pyannote[1197].speaker SPEAKER_02
transcript.pyannote[1197].start 8012.02784375
transcript.pyannote[1197].end 8014.06971875
transcript.pyannote[1198].speaker SPEAKER_02
transcript.pyannote[1198].start 8014.47471875
transcript.pyannote[1198].end 8015.43659375
transcript.pyannote[1199].speaker SPEAKER_02
transcript.pyannote[1199].start 8015.80784375
transcript.pyannote[1199].end 8017.27596875
transcript.pyannote[1200].speaker SPEAKER_02
transcript.pyannote[1200].start 8017.66409375
transcript.pyannote[1200].end 8018.92971875
transcript.pyannote[1201].speaker SPEAKER_02
transcript.pyannote[1201].start 8019.63846875
transcript.pyannote[1201].end 8021.08971875
transcript.pyannote[1202].speaker SPEAKER_02
transcript.pyannote[1202].start 8021.34284375
transcript.pyannote[1202].end 8021.84909375
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 8021.96721875
transcript.pyannote[1203].end 8023.50284375
transcript.pyannote[1204].speaker SPEAKER_02
transcript.pyannote[1204].start 8023.94159375
transcript.pyannote[1204].end 8026.18596875
transcript.pyannote[1205].speaker SPEAKER_02
transcript.pyannote[1205].start 8026.55721875
transcript.pyannote[1205].end 8027.46846875
transcript.pyannote[1206].speaker SPEAKER_02
transcript.pyannote[1206].start 8027.67096875
transcript.pyannote[1206].end 8029.99971875
transcript.pyannote[1207].speaker SPEAKER_02
transcript.pyannote[1207].start 8030.01659375
transcript.pyannote[1207].end 8030.03346875
transcript.pyannote[1208].speaker SPEAKER_02
transcript.pyannote[1208].start 8030.06721875
transcript.pyannote[1208].end 8030.62409375
transcript.pyannote[1209].speaker SPEAKER_02
transcript.pyannote[1209].start 8031.78846875
transcript.pyannote[1209].end 8035.06221875
transcript.pyannote[1210].speaker SPEAKER_02
transcript.pyannote[1210].start 8036.76659375
transcript.pyannote[1210].end 8037.27284375
transcript.pyannote[1211].speaker SPEAKER_02
transcript.pyannote[1211].start 8038.90971875
transcript.pyannote[1211].end 8042.63909375
transcript.pyannote[1212].speaker SPEAKER_14
transcript.pyannote[1212].start 8043.55034375
transcript.pyannote[1212].end 8044.78221875
transcript.pyannote[1213].speaker SPEAKER_02
transcript.pyannote[1213].start 8045.13659375
transcript.pyannote[1213].end 8046.60471875
transcript.pyannote[1214].speaker SPEAKER_14
transcript.pyannote[1214].start 8047.65096875
transcript.pyannote[1214].end 8047.70159375
transcript.pyannote[1215].speaker SPEAKER_02
transcript.pyannote[1215].start 8047.70159375
transcript.pyannote[1215].end 8049.69284375
transcript.pyannote[1216].speaker SPEAKER_02
transcript.pyannote[1216].start 8050.41846875
transcript.pyannote[1216].end 8051.39721875
transcript.pyannote[1217].speaker SPEAKER_02
transcript.pyannote[1217].start 8051.65034375
transcript.pyannote[1217].end 8053.38846875
transcript.pyannote[1218].speaker SPEAKER_19
transcript.pyannote[1218].start 8053.67534375
transcript.pyannote[1218].end 8053.69221875
transcript.pyannote[1219].speaker SPEAKER_02
transcript.pyannote[1219].start 8053.69221875
transcript.pyannote[1219].end 8053.70909375
transcript.pyannote[1220].speaker SPEAKER_19
transcript.pyannote[1220].start 8053.70909375
transcript.pyannote[1220].end 8054.90721875
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 8054.90721875
transcript.pyannote[1221].end 8054.94096875
transcript.pyannote[1222].speaker SPEAKER_02
transcript.pyannote[1222].start 8055.04221875
transcript.pyannote[1222].end 8057.89409375
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 8058.24846875
transcript.pyannote[1223].end 8058.94034375
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 8059.22721875
transcript.pyannote[1224].end 8062.99034375
transcript.pyannote[1225].speaker SPEAKER_02
transcript.pyannote[1225].start 8063.73284375
transcript.pyannote[1225].end 8064.27284375
transcript.pyannote[1226].speaker SPEAKER_02
transcript.pyannote[1226].start 8064.77909375
transcript.pyannote[1226].end 8068.15409375
transcript.pyannote[1227].speaker SPEAKER_02
transcript.pyannote[1227].start 8068.99784375
transcript.pyannote[1227].end 8069.25096875
transcript.pyannote[1228].speaker SPEAKER_02
transcript.pyannote[1228].start 8069.92596875
transcript.pyannote[1228].end 8071.86659375
transcript.pyannote[1229].speaker SPEAKER_02
transcript.pyannote[1229].start 8072.71034375
transcript.pyannote[1229].end 8076.33846875
transcript.pyannote[1230].speaker SPEAKER_02
transcript.pyannote[1230].start 8077.53659375
transcript.pyannote[1230].end 8078.98784375
transcript.pyannote[1231].speaker SPEAKER_02
transcript.pyannote[1231].start 8079.49409375
transcript.pyannote[1231].end 8080.75971875
transcript.pyannote[1232].speaker SPEAKER_02
transcript.pyannote[1232].start 8081.41784375
transcript.pyannote[1232].end 8081.87346875
transcript.pyannote[1233].speaker SPEAKER_02
transcript.pyannote[1233].start 8082.44721875
transcript.pyannote[1233].end 8083.66221875
transcript.pyannote[1234].speaker SPEAKER_02
transcript.pyannote[1234].start 8085.67034375
transcript.pyannote[1234].end 8089.85534375
transcript.pyannote[1235].speaker SPEAKER_02
transcript.pyannote[1235].start 8090.26034375
transcript.pyannote[1235].end 8091.40784375
transcript.pyannote[1236].speaker SPEAKER_02
transcript.pyannote[1236].start 8091.66096875
transcript.pyannote[1236].end 8094.52971875
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 8095.05284375
transcript.pyannote[1237].end 8095.44096875
transcript.pyannote[1238].speaker SPEAKER_02
transcript.pyannote[1238].start 8095.74471875
transcript.pyannote[1238].end 8097.34784375
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 8097.80346875
transcript.pyannote[1239].end 8099.92971875
transcript.pyannote[1240].speaker SPEAKER_02
transcript.pyannote[1240].start 8100.43596875
transcript.pyannote[1240].end 8101.00971875
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 8102.19096875
transcript.pyannote[1241].end 8102.59596875
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 8103.55784375
transcript.pyannote[1242].end 8105.51534375
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 8106.34221875
transcript.pyannote[1243].end 8106.64596875
transcript.pyannote[1244].speaker SPEAKER_02
transcript.pyannote[1244].start 8107.05096875
transcript.pyannote[1244].end 8108.13096875
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 8108.31659375
transcript.pyannote[1245].end 8113.07534375
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 8113.73346875
transcript.pyannote[1246].end 8114.91471875
transcript.pyannote[1247].speaker SPEAKER_02
transcript.pyannote[1247].start 8115.58971875
transcript.pyannote[1247].end 8119.33596875
transcript.pyannote[1248].speaker SPEAKER_02
transcript.pyannote[1248].start 8119.47096875
transcript.pyannote[1248].end 8128.90409375
transcript.pyannote[1249].speaker SPEAKER_02
transcript.pyannote[1249].start 8130.33846875
transcript.pyannote[1249].end 8133.24096875
transcript.pyannote[1250].speaker SPEAKER_07
transcript.pyannote[1250].start 8133.96659375
transcript.pyannote[1250].end 8152.88346875
transcript.pyannote[1251].speaker SPEAKER_02
transcript.pyannote[1251].start 8151.76971875
transcript.pyannote[1251].end 8154.45284375
transcript.pyannote[1252].speaker SPEAKER_07
transcript.pyannote[1252].start 8154.70596875
transcript.pyannote[1252].end 8161.40534375
transcript.pyannote[1253].speaker SPEAKER_07
transcript.pyannote[1253].start 8161.67534375
transcript.pyannote[1253].end 8165.87721875
transcript.pyannote[1254].speaker SPEAKER_02
transcript.pyannote[1254].start 8166.24846875
transcript.pyannote[1254].end 8166.99096875
transcript.pyannote[1255].speaker SPEAKER_02
transcript.pyannote[1255].start 8167.49721875
transcript.pyannote[1255].end 8167.83471875
transcript.pyannote[1256].speaker SPEAKER_09
transcript.pyannote[1256].start 8171.76659375
transcript.pyannote[1256].end 8177.68971875
transcript.pyannote[1257].speaker SPEAKER_09
transcript.pyannote[1257].start 8178.61784375
transcript.pyannote[1257].end 8179.74846875
transcript.pyannote[1258].speaker SPEAKER_09
transcript.pyannote[1258].start 8179.95096875
transcript.pyannote[1258].end 8181.11534375
transcript.pyannote[1259].speaker SPEAKER_09
transcript.pyannote[1259].start 8186.16096875
transcript.pyannote[1259].end 8186.51534375
transcript.pyannote[1260].speaker SPEAKER_09
transcript.pyannote[1260].start 8187.02159375
transcript.pyannote[1260].end 8188.43909375
transcript.pyannote[1261].speaker SPEAKER_09
transcript.pyannote[1261].start 8188.70909375
transcript.pyannote[1261].end 8189.46846875
transcript.pyannote[1262].speaker SPEAKER_09
transcript.pyannote[1262].start 8190.80159375
transcript.pyannote[1262].end 8191.56096875
transcript.pyannote[1263].speaker SPEAKER_09
transcript.pyannote[1263].start 8193.28221875
transcript.pyannote[1263].end 8193.75471875
transcript.pyannote[1264].speaker SPEAKER_09
transcript.pyannote[1264].start 8194.31159375
transcript.pyannote[1264].end 8194.90221875
transcript.pyannote[1265].speaker SPEAKER_09
transcript.pyannote[1265].start 8195.54346875
transcript.pyannote[1265].end 8196.31971875
transcript.pyannote[1266].speaker SPEAKER_09
transcript.pyannote[1266].start 8197.45034375
transcript.pyannote[1266].end 8198.88471875
transcript.pyannote[1267].speaker SPEAKER_09
transcript.pyannote[1267].start 8202.61409375
transcript.pyannote[1267].end 8203.05284375
transcript.pyannote[1268].speaker SPEAKER_09
transcript.pyannote[1268].start 8206.19159375
transcript.pyannote[1268].end 8206.63034375
transcript.pyannote[1269].speaker SPEAKER_09
transcript.pyannote[1269].start 8207.10284375
transcript.pyannote[1269].end 8207.33909375
transcript.pyannote[1270].speaker SPEAKER_09
transcript.pyannote[1270].start 8208.01409375
transcript.pyannote[1270].end 8210.96721875
transcript.pyannote[1271].speaker SPEAKER_09
transcript.pyannote[1271].start 8211.25409375
transcript.pyannote[1271].end 8213.76846875
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 8449.42784375
transcript.pyannote[1272].end 8453.05596875
transcript.pyannote[1273].speaker SPEAKER_02
transcript.pyannote[1273].start 8459.45159375
transcript.pyannote[1273].end 8461.89846875
transcript.pyannote[1274].speaker SPEAKER_02
transcript.pyannote[1274].start 8462.16846875
transcript.pyannote[1274].end 8463.02909375
transcript.pyannote[1275].speaker SPEAKER_07
transcript.pyannote[1275].start 8466.94409375
transcript.pyannote[1275].end 8466.96096875
transcript.pyannote[1276].speaker SPEAKER_06
transcript.pyannote[1276].start 8466.96096875
transcript.pyannote[1276].end 8467.02846875
transcript.pyannote[1277].speaker SPEAKER_07
transcript.pyannote[1277].start 8467.02846875
transcript.pyannote[1277].end 8467.53471875
transcript.pyannote[1278].speaker SPEAKER_06
transcript.pyannote[1278].start 8467.53471875
transcript.pyannote[1278].end 8467.56846875
transcript.pyannote[1279].speaker SPEAKER_06
transcript.pyannote[1279].start 8467.90596875
transcript.pyannote[1279].end 8475.28034375
transcript.pyannote[1280].speaker SPEAKER_06
transcript.pyannote[1280].start 8476.03971875
transcript.pyannote[1280].end 8486.56971875
transcript.pyannote[1281].speaker SPEAKER_06
transcript.pyannote[1281].start 8486.97471875
transcript.pyannote[1281].end 8490.38346875
transcript.pyannote[1282].speaker SPEAKER_06
transcript.pyannote[1282].start 8490.58596875
transcript.pyannote[1282].end 8496.79596875
transcript.pyannote[1283].speaker SPEAKER_06
transcript.pyannote[1283].start 8497.06596875
transcript.pyannote[1283].end 8528.43659375
transcript.pyannote[1284].speaker SPEAKER_06
transcript.pyannote[1284].start 8529.31409375
transcript.pyannote[1284].end 8530.73159375
transcript.pyannote[1285].speaker SPEAKER_15
transcript.pyannote[1285].start 8531.49096875
transcript.pyannote[1285].end 8533.34721875
transcript.pyannote[1286].speaker SPEAKER_15
transcript.pyannote[1286].start 8533.63409375
transcript.pyannote[1286].end 8535.08534375
transcript.pyannote[1287].speaker SPEAKER_06
transcript.pyannote[1287].start 8533.78596875
transcript.pyannote[1287].end 8576.83409375
transcript.pyannote[1288].speaker SPEAKER_15
transcript.pyannote[1288].start 8537.31284375
transcript.pyannote[1288].end 8539.43909375
transcript.pyannote[1289].speaker SPEAKER_06
transcript.pyannote[1289].start 8578.90971875
transcript.pyannote[1289].end 8604.32346875
transcript.pyannote[1290].speaker SPEAKER_06
transcript.pyannote[1290].start 8604.64409375
transcript.pyannote[1290].end 8612.74409375
transcript.pyannote[1291].speaker SPEAKER_06
transcript.pyannote[1291].start 8612.92971875
transcript.pyannote[1291].end 8625.58596875
transcript.pyannote[1292].speaker SPEAKER_06
transcript.pyannote[1292].start 8625.94034375
transcript.pyannote[1292].end 8628.42096875
transcript.pyannote[1293].speaker SPEAKER_06
transcript.pyannote[1293].start 8629.09596875
transcript.pyannote[1293].end 8630.83409375
transcript.pyannote[1294].speaker SPEAKER_06
transcript.pyannote[1294].start 8631.45846875
transcript.pyannote[1294].end 8632.63971875
transcript.pyannote[1295].speaker SPEAKER_06
transcript.pyannote[1295].start 8633.07846875
transcript.pyannote[1295].end 8633.92221875
transcript.pyannote[1296].speaker SPEAKER_06
transcript.pyannote[1296].start 8634.14159375
transcript.pyannote[1296].end 8635.30596875
transcript.pyannote[1297].speaker SPEAKER_06
transcript.pyannote[1297].start 8635.72784375
transcript.pyannote[1297].end 8640.99284375
transcript.pyannote[1298].speaker SPEAKER_06
transcript.pyannote[1298].start 8641.65096875
transcript.pyannote[1298].end 8662.35659375
transcript.pyannote[1299].speaker SPEAKER_06
transcript.pyannote[1299].start 8663.30159375
transcript.pyannote[1299].end 8670.20346875
transcript.pyannote[1300].speaker SPEAKER_06
transcript.pyannote[1300].start 8670.70971875
transcript.pyannote[1300].end 8676.73409375
transcript.pyannote[1301].speaker SPEAKER_06
transcript.pyannote[1301].start 8676.86909375
transcript.pyannote[1301].end 8679.97409375
transcript.pyannote[1302].speaker SPEAKER_07
transcript.pyannote[1302].start 8679.97409375
transcript.pyannote[1302].end 8699.76846875
transcript.pyannote[1303].speaker SPEAKER_06
transcript.pyannote[1303].start 8680.07534375
transcript.pyannote[1303].end 8680.98659375
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 8692.57971875
transcript.pyannote[1304].end 8692.95096875
transcript.pyannote[1305].speaker SPEAKER_15
transcript.pyannote[1305].start 8699.24534375
transcript.pyannote[1305].end 8699.88659375
transcript.pyannote[1306].speaker SPEAKER_11
transcript.pyannote[1306].start 8699.88659375
transcript.pyannote[1306].end 8699.92034375
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 8700.61221875
transcript.pyannote[1307].end 8705.84346875
transcript.pyannote[1308].speaker SPEAKER_15
transcript.pyannote[1308].start 8706.21471875
transcript.pyannote[1308].end 8709.06659375
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 8709.30284375
transcript.pyannote[1309].end 8720.96346875
transcript.pyannote[1310].speaker SPEAKER_06
transcript.pyannote[1310].start 8720.96346875
transcript.pyannote[1310].end 8752.35096875
transcript.pyannote[1311].speaker SPEAKER_00
transcript.pyannote[1311].start 8730.75096875
transcript.pyannote[1311].end 8731.56096875
transcript.pyannote[1312].speaker SPEAKER_06
transcript.pyannote[1312].start 8752.75596875
transcript.pyannote[1312].end 8756.02971875
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 8756.02971875
transcript.pyannote[1313].end 8773.30971875
transcript.pyannote[1314].speaker SPEAKER_06
transcript.pyannote[1314].start 8772.11159375
transcript.pyannote[1314].end 8773.20846875
transcript.pyannote[1315].speaker SPEAKER_06
transcript.pyannote[1315].start 8773.30971875
transcript.pyannote[1315].end 8805.35534375
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 8777.39346875
transcript.pyannote[1316].end 8777.56221875
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 8777.57909375
transcript.pyannote[1317].end 8777.62971875
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 8777.69721875
transcript.pyannote[1318].end 8778.86159375
transcript.pyannote[1319].speaker SPEAKER_11
transcript.pyannote[1319].start 8781.34221875
transcript.pyannote[1319].end 8781.71346875
transcript.pyannote[1320].speaker SPEAKER_11
transcript.pyannote[1320].start 8804.19096875
transcript.pyannote[1320].end 8804.54534375
transcript.pyannote[1321].speaker SPEAKER_06
transcript.pyannote[1321].start 8806.09784375
transcript.pyannote[1321].end 8816.99909375
transcript.pyannote[1322].speaker SPEAKER_06
transcript.pyannote[1322].start 8817.84284375
transcript.pyannote[1322].end 8819.02409375
transcript.pyannote[1323].speaker SPEAKER_07
transcript.pyannote[1323].start 8819.02409375
transcript.pyannote[1323].end 8828.62596875
transcript.pyannote[1324].speaker SPEAKER_07
transcript.pyannote[1324].start 8828.77784375
transcript.pyannote[1324].end 8828.79471875
transcript.pyannote[1325].speaker SPEAKER_06
transcript.pyannote[1325].start 8828.79471875
transcript.pyannote[1325].end 8834.97096875
transcript.pyannote[1326].speaker SPEAKER_07
transcript.pyannote[1326].start 8831.03909375
transcript.pyannote[1326].end 8839.15596875
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 8834.97096875
transcript.pyannote[1327].end 8837.67096875
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 8838.53159375
transcript.pyannote[1328].end 8847.54284375
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 8848.97721875
transcript.pyannote[1329].end 8849.85471875
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 8850.76596875
transcript.pyannote[1330].end 8853.93846875
transcript.pyannote[1331].speaker SPEAKER_19
transcript.pyannote[1331].start 8853.41534375
transcript.pyannote[1331].end 8853.44909375
transcript.pyannote[1332].speaker SPEAKER_19
transcript.pyannote[1332].start 8853.93846875
transcript.pyannote[1332].end 8853.97221875
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 8853.97221875
transcript.pyannote[1333].end 8853.98909375
transcript.pyannote[1334].speaker SPEAKER_19
transcript.pyannote[1334].start 8853.98909375
transcript.pyannote[1334].end 8854.09034375
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 8854.52909375
transcript.pyannote[1335].end 8865.36284375
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 8865.76784375
transcript.pyannote[1336].end 8870.49284375
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 8871.25221875
transcript.pyannote[1337].end 8874.39096875
transcript.pyannote[1338].speaker SPEAKER_07
transcript.pyannote[1338].start 8877.73221875
transcript.pyannote[1338].end 8882.47409375
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 8882.30534375
transcript.pyannote[1339].end 8883.11534375
transcript.pyannote[1340].speaker SPEAKER_07
transcript.pyannote[1340].start 8886.62534375
transcript.pyannote[1340].end 8922.06284375
transcript.pyannote[1341].speaker SPEAKER_07
transcript.pyannote[1341].start 8922.34971875
transcript.pyannote[1341].end 8945.38409375
transcript.pyannote[1342].speaker SPEAKER_07
transcript.pyannote[1342].start 8945.70471875
transcript.pyannote[1342].end 8946.53159375
transcript.pyannote[1343].speaker SPEAKER_07
transcript.pyannote[1343].start 8947.12221875
transcript.pyannote[1343].end 8953.48409375
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 8954.10846875
transcript.pyannote[1344].end 8954.54721875
transcript.pyannote[1345].speaker SPEAKER_07
transcript.pyannote[1345].start 8954.54721875
transcript.pyannote[1345].end 8965.92096875
transcript.pyannote[1346].speaker SPEAKER_07
transcript.pyannote[1346].start 8966.51159375
transcript.pyannote[1346].end 8980.01159375
transcript.pyannote[1347].speaker SPEAKER_07
transcript.pyannote[1347].start 8980.19721875
transcript.pyannote[1347].end 8991.11534375
transcript.pyannote[1348].speaker SPEAKER_07
transcript.pyannote[1348].start 8991.48659375
transcript.pyannote[1348].end 8995.67159375
transcript.pyannote[1349].speaker SPEAKER_07
transcript.pyannote[1349].start 8995.92471875
transcript.pyannote[1349].end 8998.89471875
transcript.pyannote[1350].speaker SPEAKER_07
transcript.pyannote[1350].start 8998.94534375
transcript.pyannote[1350].end 8999.28284375
transcript.pyannote[1351].speaker SPEAKER_07
transcript.pyannote[1351].start 8999.41784375
transcript.pyannote[1351].end 9002.64096875
transcript.pyannote[1352].speaker SPEAKER_07
transcript.pyannote[1352].start 9002.92784375
transcript.pyannote[1352].end 9005.72909375
transcript.pyannote[1353].speaker SPEAKER_07
transcript.pyannote[1353].start 9006.10034375
transcript.pyannote[1353].end 9029.47221875
transcript.pyannote[1354].speaker SPEAKER_07
transcript.pyannote[1354].start 9029.52284375
transcript.pyannote[1354].end 9030.41721875
transcript.pyannote[1355].speaker SPEAKER_07
transcript.pyannote[1355].start 9030.50159375
transcript.pyannote[1355].end 9033.89346875
transcript.pyannote[1356].speaker SPEAKER_07
transcript.pyannote[1356].start 9034.55159375
transcript.pyannote[1356].end 9053.48534375
transcript.pyannote[1357].speaker SPEAKER_07
transcript.pyannote[1357].start 9053.63721875
transcript.pyannote[1357].end 9113.94846875
transcript.pyannote[1358].speaker SPEAKER_07
transcript.pyannote[1358].start 9114.48846875
transcript.pyannote[1358].end 9176.47034375
transcript.pyannote[1359].speaker SPEAKER_07
transcript.pyannote[1359].start 9176.95971875
transcript.pyannote[1359].end 9179.55846875
transcript.pyannote[1360].speaker SPEAKER_07
transcript.pyannote[1360].start 9179.82846875
transcript.pyannote[1360].end 9204.49971875
transcript.pyannote[1361].speaker SPEAKER_07
transcript.pyannote[1361].start 9204.70221875
transcript.pyannote[1361].end 9210.86159375
transcript.pyannote[1362].speaker SPEAKER_07
transcript.pyannote[1362].start 9210.96284375
transcript.pyannote[1362].end 9213.96659375
transcript.pyannote[1363].speaker SPEAKER_07
transcript.pyannote[1363].start 9214.16909375
transcript.pyannote[1363].end 9281.78721875
transcript.pyannote[1364].speaker SPEAKER_06
transcript.pyannote[1364].start 9219.77159375
transcript.pyannote[1364].end 9220.32846875
transcript.pyannote[1365].speaker SPEAKER_00
transcript.pyannote[1365].start 9221.18909375
transcript.pyannote[1365].end 9221.42534375
transcript.pyannote[1366].speaker SPEAKER_00
transcript.pyannote[1366].start 9222.52221875
transcript.pyannote[1366].end 9223.73721875
transcript.pyannote[1367].speaker SPEAKER_11
transcript.pyannote[1367].start 9239.32971875
transcript.pyannote[1367].end 9239.39721875
transcript.pyannote[1368].speaker SPEAKER_11
transcript.pyannote[1368].start 9239.43096875
transcript.pyannote[1368].end 9239.56596875
transcript.pyannote[1369].speaker SPEAKER_06
transcript.pyannote[1369].start 9239.56596875
transcript.pyannote[1369].end 9239.59971875
transcript.pyannote[1370].speaker SPEAKER_11
transcript.pyannote[1370].start 9239.59971875
transcript.pyannote[1370].end 9239.63346875
transcript.pyannote[1371].speaker SPEAKER_06
transcript.pyannote[1371].start 9242.63721875
transcript.pyannote[1371].end 9243.97034375
transcript.pyannote[1372].speaker SPEAKER_07
transcript.pyannote[1372].start 9282.86721875
transcript.pyannote[1372].end 9283.71096875
transcript.pyannote[1373].speaker SPEAKER_07
transcript.pyannote[1373].start 9284.31846875
transcript.pyannote[1373].end 9312.88784375
transcript.pyannote[1374].speaker SPEAKER_07
transcript.pyannote[1374].start 9313.05659375
transcript.pyannote[1374].end 9313.10721875
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 9313.10721875
transcript.pyannote[1375].end 9315.40221875
transcript.pyannote[1376].speaker SPEAKER_02
transcript.pyannote[1376].start 9316.78596875
transcript.pyannote[1376].end 9319.18221875
transcript.pyannote[1377].speaker SPEAKER_02
transcript.pyannote[1377].start 9319.65471875
transcript.pyannote[1377].end 9320.12721875
transcript.pyannote[1378].speaker SPEAKER_01
transcript.pyannote[1378].start 9327.99096875
transcript.pyannote[1378].end 9331.14659375
transcript.pyannote[1379].speaker SPEAKER_07
transcript.pyannote[1379].start 9336.96846875
transcript.pyannote[1379].end 9337.50846875
transcript.pyannote[1380].speaker SPEAKER_01
transcript.pyannote[1380].start 9337.67721875
transcript.pyannote[1380].end 9341.57534375
transcript.pyannote[1381].speaker SPEAKER_01
transcript.pyannote[1381].start 9341.71034375
transcript.pyannote[1381].end 9347.66721875
transcript.pyannote[1382].speaker SPEAKER_01
transcript.pyannote[1382].start 9347.83596875
transcript.pyannote[1382].end 9357.89346875
transcript.pyannote[1383].speaker SPEAKER_01
transcript.pyannote[1383].start 9358.33221875
transcript.pyannote[1383].end 9359.71596875
transcript.pyannote[1384].speaker SPEAKER_01
transcript.pyannote[1384].start 9360.00284375
transcript.pyannote[1384].end 9361.25159375
transcript.pyannote[1385].speaker SPEAKER_01
transcript.pyannote[1385].start 9361.50471875
transcript.pyannote[1385].end 9364.62659375
transcript.pyannote[1386].speaker SPEAKER_01
transcript.pyannote[1386].start 9364.93034375
transcript.pyannote[1386].end 9368.08596875
transcript.pyannote[1387].speaker SPEAKER_01
transcript.pyannote[1387].start 9368.40659375
transcript.pyannote[1387].end 9370.41471875
transcript.pyannote[1388].speaker SPEAKER_01
transcript.pyannote[1388].start 9370.71846875
transcript.pyannote[1388].end 9374.14409375
transcript.pyannote[1389].speaker SPEAKER_01
transcript.pyannote[1389].start 9374.41409375
transcript.pyannote[1389].end 9377.08034375
transcript.pyannote[1390].speaker SPEAKER_01
transcript.pyannote[1390].start 9377.41784375
transcript.pyannote[1390].end 9379.69596875
transcript.pyannote[1391].speaker SPEAKER_01
transcript.pyannote[1391].start 9379.81409375
transcript.pyannote[1391].end 9382.76721875
transcript.pyannote[1392].speaker SPEAKER_01
transcript.pyannote[1392].start 9382.78409375
transcript.pyannote[1392].end 9383.74596875
transcript.pyannote[1393].speaker SPEAKER_01
transcript.pyannote[1393].start 9383.96534375
transcript.pyannote[1393].end 9393.66846875
transcript.pyannote[1394].speaker SPEAKER_01
transcript.pyannote[1394].start 9393.95534375
transcript.pyannote[1394].end 9397.02659375
transcript.pyannote[1395].speaker SPEAKER_01
transcript.pyannote[1395].start 9397.33034375
transcript.pyannote[1395].end 9398.44409375
transcript.pyannote[1396].speaker SPEAKER_01
transcript.pyannote[1396].start 9398.61284375
transcript.pyannote[1396].end 9401.39721875
transcript.pyannote[1397].speaker SPEAKER_01
transcript.pyannote[1397].start 9401.73471875
transcript.pyannote[1397].end 9404.68784375
transcript.pyannote[1398].speaker SPEAKER_01
transcript.pyannote[1398].start 9404.89034375
transcript.pyannote[1398].end 9407.26971875
transcript.pyannote[1399].speaker SPEAKER_01
transcript.pyannote[1399].start 9407.50596875
transcript.pyannote[1399].end 9410.15534375
transcript.pyannote[1400].speaker SPEAKER_01
transcript.pyannote[1400].start 9410.35784375
transcript.pyannote[1400].end 9414.67784375
transcript.pyannote[1401].speaker SPEAKER_01
transcript.pyannote[1401].start 9414.69471875
transcript.pyannote[1401].end 9417.74909375
transcript.pyannote[1402].speaker SPEAKER_01
transcript.pyannote[1402].start 9418.05284375
transcript.pyannote[1402].end 9421.09034375
transcript.pyannote[1403].speaker SPEAKER_01
transcript.pyannote[1403].start 9421.34346875
transcript.pyannote[1403].end 9427.55346875
transcript.pyannote[1404].speaker SPEAKER_07
transcript.pyannote[1404].start 9427.55346875
transcript.pyannote[1404].end 9428.27909375
transcript.pyannote[1405].speaker SPEAKER_07
transcript.pyannote[1405].start 9429.08909375
transcript.pyannote[1405].end 9495.77909375
transcript.pyannote[1406].speaker SPEAKER_01
transcript.pyannote[1406].start 9430.03409375
transcript.pyannote[1406].end 9430.38846875
transcript.pyannote[1407].speaker SPEAKER_11
transcript.pyannote[1407].start 9453.03471875
transcript.pyannote[1407].end 9453.16971875
transcript.pyannote[1408].speaker SPEAKER_01
transcript.pyannote[1408].start 9496.11659375
transcript.pyannote[1408].end 9496.53846875
transcript.pyannote[1409].speaker SPEAKER_01
transcript.pyannote[1409].start 9496.65659375
transcript.pyannote[1409].end 9497.04471875
transcript.pyannote[1410].speaker SPEAKER_01
transcript.pyannote[1410].start 9497.50034375
transcript.pyannote[1410].end 9509.46471875
transcript.pyannote[1411].speaker SPEAKER_07
transcript.pyannote[1411].start 9499.32284375
transcript.pyannote[1411].end 9499.42409375
transcript.pyannote[1412].speaker SPEAKER_00
transcript.pyannote[1412].start 9505.14471875
transcript.pyannote[1412].end 9505.49909375
transcript.pyannote[1413].speaker SPEAKER_01
transcript.pyannote[1413].start 9509.75159375
transcript.pyannote[1413].end 9513.53159375
transcript.pyannote[1414].speaker SPEAKER_01
transcript.pyannote[1414].start 9514.00409375
transcript.pyannote[1414].end 9517.85159375
transcript.pyannote[1415].speaker SPEAKER_01
transcript.pyannote[1415].start 9518.17221875
transcript.pyannote[1415].end 9520.72034375
transcript.pyannote[1416].speaker SPEAKER_01
transcript.pyannote[1416].start 9520.93971875
transcript.pyannote[1416].end 9524.02784375
transcript.pyannote[1417].speaker SPEAKER_01
transcript.pyannote[1417].start 9524.39909375
transcript.pyannote[1417].end 9524.70284375
transcript.pyannote[1418].speaker SPEAKER_01
transcript.pyannote[1418].start 9525.05721875
transcript.pyannote[1418].end 9527.67284375
transcript.pyannote[1419].speaker SPEAKER_01
transcript.pyannote[1419].start 9527.92596875
transcript.pyannote[1419].end 9531.03096875
transcript.pyannote[1420].speaker SPEAKER_01
transcript.pyannote[1420].start 9531.19971875
transcript.pyannote[1420].end 9532.22909375
transcript.pyannote[1421].speaker SPEAKER_01
transcript.pyannote[1421].start 9532.49909375
transcript.pyannote[1421].end 9533.66346875
transcript.pyannote[1422].speaker SPEAKER_01
transcript.pyannote[1422].start 9534.01784375
transcript.pyannote[1422].end 9536.24534375
transcript.pyannote[1423].speaker SPEAKER_01
transcript.pyannote[1423].start 9536.39721875
transcript.pyannote[1423].end 9537.61221875
transcript.pyannote[1424].speaker SPEAKER_01
transcript.pyannote[1424].start 9538.00034375
transcript.pyannote[1424].end 9540.93659375
transcript.pyannote[1425].speaker SPEAKER_01
transcript.pyannote[1425].start 9541.22346875
transcript.pyannote[1425].end 9544.19346875
transcript.pyannote[1426].speaker SPEAKER_01
transcript.pyannote[1426].start 9544.37909375
transcript.pyannote[1426].end 9548.24346875
transcript.pyannote[1427].speaker SPEAKER_01
transcript.pyannote[1427].start 9548.47971875
transcript.pyannote[1427].end 9549.62721875
transcript.pyannote[1428].speaker SPEAKER_01
transcript.pyannote[1428].start 9549.81284375
transcript.pyannote[1428].end 9551.87159375
transcript.pyannote[1429].speaker SPEAKER_01
transcript.pyannote[1429].start 9552.04034375
transcript.pyannote[1429].end 9554.26784375
transcript.pyannote[1430].speaker SPEAKER_01
transcript.pyannote[1430].start 9554.53784375
transcript.pyannote[1430].end 9555.31409375
transcript.pyannote[1431].speaker SPEAKER_01
transcript.pyannote[1431].start 9555.80346875
transcript.pyannote[1431].end 9559.06034375
transcript.pyannote[1432].speaker SPEAKER_01
transcript.pyannote[1432].start 9559.16159375
transcript.pyannote[1432].end 9576.91409375
transcript.pyannote[1433].speaker SPEAKER_01
transcript.pyannote[1433].start 9577.25159375
transcript.pyannote[1433].end 9580.03596875
transcript.pyannote[1434].speaker SPEAKER_01
transcript.pyannote[1434].start 9580.45784375
transcript.pyannote[1434].end 9581.99346875
transcript.pyannote[1435].speaker SPEAKER_01
transcript.pyannote[1435].start 9582.26346875
transcript.pyannote[1435].end 9584.64284375
transcript.pyannote[1436].speaker SPEAKER_01
transcript.pyannote[1436].start 9585.03096875
transcript.pyannote[1436].end 9586.60034375
transcript.pyannote[1437].speaker SPEAKER_01
transcript.pyannote[1437].start 9586.98846875
transcript.pyannote[1437].end 9589.65471875
transcript.pyannote[1438].speaker SPEAKER_01
transcript.pyannote[1438].start 9590.00909375
transcript.pyannote[1438].end 9590.56596875
transcript.pyannote[1439].speaker SPEAKER_01
transcript.pyannote[1439].start 9590.86971875
transcript.pyannote[1439].end 9591.91596875
transcript.pyannote[1440].speaker SPEAKER_01
transcript.pyannote[1440].start 9592.28721875
transcript.pyannote[1440].end 9592.81034375
transcript.pyannote[1441].speaker SPEAKER_01
transcript.pyannote[1441].start 9593.14784375
transcript.pyannote[1441].end 9594.02534375
transcript.pyannote[1442].speaker SPEAKER_01
transcript.pyannote[1442].start 9594.14346875
transcript.pyannote[1442].end 9595.42596875
transcript.pyannote[1443].speaker SPEAKER_01
transcript.pyannote[1443].start 9595.81409375
transcript.pyannote[1443].end 9596.62409375
transcript.pyannote[1444].speaker SPEAKER_01
transcript.pyannote[1444].start 9596.89409375
transcript.pyannote[1444].end 9599.59409375
transcript.pyannote[1445].speaker SPEAKER_01
transcript.pyannote[1445].start 9599.84721875
transcript.pyannote[1445].end 9601.16346875
transcript.pyannote[1446].speaker SPEAKER_01
transcript.pyannote[1446].start 9601.82159375
transcript.pyannote[1446].end 9604.52159375
transcript.pyannote[1447].speaker SPEAKER_07
transcript.pyannote[1447].start 9603.20534375
transcript.pyannote[1447].end 9614.46096875
transcript.pyannote[1448].speaker SPEAKER_01
transcript.pyannote[1448].start 9608.06534375
transcript.pyannote[1448].end 9608.48721875
transcript.pyannote[1449].speaker SPEAKER_07
transcript.pyannote[1449].start 9614.98409375
transcript.pyannote[1449].end 9615.77721875
transcript.pyannote[1450].speaker SPEAKER_07
transcript.pyannote[1450].start 9615.91221875
transcript.pyannote[1450].end 9620.95784375
transcript.pyannote[1451].speaker SPEAKER_07
transcript.pyannote[1451].start 9621.22784375
transcript.pyannote[1451].end 9627.33659375
transcript.pyannote[1452].speaker SPEAKER_01
transcript.pyannote[1452].start 9627.62346875
transcript.pyannote[1452].end 9627.97784375
transcript.pyannote[1453].speaker SPEAKER_01
transcript.pyannote[1453].start 9628.19721875
transcript.pyannote[1453].end 9632.36534375
transcript.pyannote[1454].speaker SPEAKER_01
transcript.pyannote[1454].start 9632.61846875
transcript.pyannote[1454].end 9638.11971875
transcript.pyannote[1455].speaker SPEAKER_07
transcript.pyannote[1455].start 9632.73659375
transcript.pyannote[1455].end 9632.97284375
transcript.pyannote[1456].speaker SPEAKER_06
transcript.pyannote[1456].start 9632.97284375
transcript.pyannote[1456].end 9633.02346875
transcript.pyannote[1457].speaker SPEAKER_07
transcript.pyannote[1457].start 9636.82034375
transcript.pyannote[1457].end 9642.35534375
transcript.pyannote[1458].speaker SPEAKER_11
transcript.pyannote[1458].start 9642.35534375
transcript.pyannote[1458].end 9642.69284375
transcript.pyannote[1459].speaker SPEAKER_07
transcript.pyannote[1459].start 9642.60846875
transcript.pyannote[1459].end 9647.97471875
transcript.pyannote[1460].speaker SPEAKER_01
transcript.pyannote[1460].start 9642.69284375
transcript.pyannote[1460].end 9642.70971875
transcript.pyannote[1461].speaker SPEAKER_11
transcript.pyannote[1461].start 9647.97471875
transcript.pyannote[1461].end 9648.73409375
transcript.pyannote[1462].speaker SPEAKER_07
transcript.pyannote[1462].start 9648.34596875
transcript.pyannote[1462].end 9653.79659375
transcript.pyannote[1463].speaker SPEAKER_07
transcript.pyannote[1463].start 9653.84721875
transcript.pyannote[1463].end 9653.89784375
transcript.pyannote[1464].speaker SPEAKER_11
transcript.pyannote[1464].start 9653.89784375
transcript.pyannote[1464].end 9654.26909375
transcript.pyannote[1465].speaker SPEAKER_07
transcript.pyannote[1465].start 9653.99909375
transcript.pyannote[1465].end 9661.52534375
transcript.pyannote[1466].speaker SPEAKER_01
transcript.pyannote[1466].start 9661.94721875
transcript.pyannote[1466].end 9665.92971875
transcript.pyannote[1467].speaker SPEAKER_01
transcript.pyannote[1467].start 9666.09846875
transcript.pyannote[1467].end 9679.02471875
transcript.pyannote[1468].speaker SPEAKER_07
transcript.pyannote[1468].start 9666.18284375
transcript.pyannote[1468].end 9666.52034375
transcript.pyannote[1469].speaker SPEAKER_07
transcript.pyannote[1469].start 9670.38471875
transcript.pyannote[1469].end 9670.82346875
transcript.pyannote[1470].speaker SPEAKER_07
transcript.pyannote[1470].start 9671.73471875
transcript.pyannote[1470].end 9674.24909375
transcript.pyannote[1471].speaker SPEAKER_01
transcript.pyannote[1471].start 9679.12596875
transcript.pyannote[1471].end 9687.32721875
transcript.pyannote[1472].speaker SPEAKER_11
transcript.pyannote[1472].start 9684.22221875
transcript.pyannote[1472].end 9684.49221875
transcript.pyannote[1473].speaker SPEAKER_01
transcript.pyannote[1473].start 9687.54659375
transcript.pyannote[1473].end 9688.91346875
transcript.pyannote[1474].speaker SPEAKER_02
transcript.pyannote[1474].start 9693.48659375
transcript.pyannote[1474].end 9695.07284375
transcript.pyannote[1475].speaker SPEAKER_02
transcript.pyannote[1475].start 9695.96721875
transcript.pyannote[1475].end 9699.56159375
transcript.pyannote[1476].speaker SPEAKER_08
transcript.pyannote[1476].start 9705.04596875
transcript.pyannote[1476].end 9708.13409375
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 9712.97721875
transcript.pyannote[1477].end 9714.46221875
transcript.pyannote[1478].speaker SPEAKER_08
transcript.pyannote[1478].start 9714.95159375
transcript.pyannote[1478].end 9746.11971875
transcript.pyannote[1479].speaker SPEAKER_11
transcript.pyannote[1479].start 9746.11971875
transcript.pyannote[1479].end 9746.13659375
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 9746.76096875
transcript.pyannote[1480].end 9761.03721875
transcript.pyannote[1481].speaker SPEAKER_08
transcript.pyannote[1481].start 9761.18909375
transcript.pyannote[1481].end 9780.13971875
transcript.pyannote[1482].speaker SPEAKER_07
transcript.pyannote[1482].start 9779.83596875
transcript.pyannote[1482].end 9791.96909375
transcript.pyannote[1483].speaker SPEAKER_08
transcript.pyannote[1483].start 9781.81034375
transcript.pyannote[1483].end 9784.27409375
transcript.pyannote[1484].speaker SPEAKER_08
transcript.pyannote[1484].start 9789.43784375
transcript.pyannote[1484].end 9790.06221875
transcript.pyannote[1485].speaker SPEAKER_08
transcript.pyannote[1485].start 9790.41659375
transcript.pyannote[1485].end 9791.80034375
transcript.pyannote[1486].speaker SPEAKER_08
transcript.pyannote[1486].start 9791.96909375
transcript.pyannote[1486].end 9808.92846875
transcript.pyannote[1487].speaker SPEAKER_12
transcript.pyannote[1487].start 9806.31284375
transcript.pyannote[1487].end 9806.54909375
transcript.pyannote[1488].speaker SPEAKER_00
transcript.pyannote[1488].start 9806.54909375
transcript.pyannote[1488].end 9806.58284375
transcript.pyannote[1489].speaker SPEAKER_12
transcript.pyannote[1489].start 9810.19409375
transcript.pyannote[1489].end 9819.89721875
transcript.pyannote[1490].speaker SPEAKER_08
transcript.pyannote[1490].start 9819.20534375
transcript.pyannote[1490].end 9819.54284375
transcript.pyannote[1491].speaker SPEAKER_08
transcript.pyannote[1491].start 9820.35284375
transcript.pyannote[1491].end 9854.23784375
transcript.pyannote[1492].speaker SPEAKER_08
transcript.pyannote[1492].start 9854.38971875
transcript.pyannote[1492].end 9861.61221875
transcript.pyannote[1493].speaker SPEAKER_08
transcript.pyannote[1493].start 9862.00034375
transcript.pyannote[1493].end 9866.86034375
transcript.pyannote[1494].speaker SPEAKER_12
transcript.pyannote[1494].start 9868.29471875
transcript.pyannote[1494].end 9871.65284375
transcript.pyannote[1495].speaker SPEAKER_12
transcript.pyannote[1495].start 9871.75409375
transcript.pyannote[1495].end 9873.15471875
transcript.pyannote[1496].speaker SPEAKER_12
transcript.pyannote[1496].start 9873.34034375
transcript.pyannote[1496].end 9878.58846875
transcript.pyannote[1497].speaker SPEAKER_08
transcript.pyannote[1497].start 9877.06971875
transcript.pyannote[1497].end 9877.49159375
transcript.pyannote[1498].speaker SPEAKER_08
transcript.pyannote[1498].start 9878.33534375
transcript.pyannote[1498].end 9880.52909375
transcript.pyannote[1499].speaker SPEAKER_08
transcript.pyannote[1499].start 9880.73159375
transcript.pyannote[1499].end 9899.96909375
transcript.pyannote[1500].speaker SPEAKER_08
transcript.pyannote[1500].start 9900.62721875
transcript.pyannote[1500].end 9923.07096875
transcript.pyannote[1501].speaker SPEAKER_12
transcript.pyannote[1501].start 9923.45909375
transcript.pyannote[1501].end 9932.09909375
transcript.pyannote[1502].speaker SPEAKER_08
transcript.pyannote[1502].start 9931.71096875
transcript.pyannote[1502].end 9933.14534375
transcript.pyannote[1503].speaker SPEAKER_12
transcript.pyannote[1503].start 9933.16221875
transcript.pyannote[1503].end 9937.02659375
transcript.pyannote[1504].speaker SPEAKER_08
transcript.pyannote[1504].start 9934.74846875
transcript.pyannote[1504].end 9935.28846875
transcript.pyannote[1505].speaker SPEAKER_08
transcript.pyannote[1505].start 9936.57096875
transcript.pyannote[1505].end 9942.13971875
transcript.pyannote[1506].speaker SPEAKER_12
transcript.pyannote[1506].start 9942.19034375
transcript.pyannote[1506].end 9946.00409375
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 9946.00409375
transcript.pyannote[1507].end 9950.03721875
transcript.pyannote[1508].speaker SPEAKER_08
transcript.pyannote[1508].start 9950.40846875
transcript.pyannote[1508].end 9952.31534375
transcript.pyannote[1509].speaker SPEAKER_12
transcript.pyannote[1509].start 9950.91471875
transcript.pyannote[1509].end 9961.30971875
transcript.pyannote[1510].speaker SPEAKER_08
transcript.pyannote[1510].start 9956.77034375
transcript.pyannote[1510].end 9957.19221875
transcript.pyannote[1511].speaker SPEAKER_08
transcript.pyannote[1511].start 9961.63034375
transcript.pyannote[1511].end 9961.79909375
transcript.pyannote[1512].speaker SPEAKER_12
transcript.pyannote[1512].start 9961.79909375
transcript.pyannote[1512].end 9961.91721875
transcript.pyannote[1513].speaker SPEAKER_08
transcript.pyannote[1513].start 9961.91721875
transcript.pyannote[1513].end 9962.05221875
transcript.pyannote[1514].speaker SPEAKER_08
transcript.pyannote[1514].start 9962.20409375
transcript.pyannote[1514].end 9996.83159375
transcript.pyannote[1515].speaker SPEAKER_08
transcript.pyannote[1515].start 9997.15221875
transcript.pyannote[1515].end 9999.24471875
transcript.pyannote[1516].speaker SPEAKER_08
transcript.pyannote[1516].start 10001.23596875
transcript.pyannote[1516].end 10001.26971875
transcript.pyannote[1517].speaker SPEAKER_07
transcript.pyannote[1517].start 10001.26971875
transcript.pyannote[1517].end 10001.92784375
transcript.pyannote[1518].speaker SPEAKER_08
transcript.pyannote[1518].start 10002.82221875
transcript.pyannote[1518].end 10002.83909375
transcript.pyannote[1519].speaker SPEAKER_07
transcript.pyannote[1519].start 10002.83909375
transcript.pyannote[1519].end 10004.05409375
transcript.pyannote[1520].speaker SPEAKER_07
transcript.pyannote[1520].start 10004.39159375
transcript.pyannote[1520].end 10006.04534375
transcript.pyannote[1521].speaker SPEAKER_07
transcript.pyannote[1521].start 10006.43346875
transcript.pyannote[1521].end 10045.85346875
transcript.pyannote[1522].speaker SPEAKER_11
transcript.pyannote[1522].start 10009.45409375
transcript.pyannote[1522].end 10010.87159375
transcript.pyannote[1523].speaker SPEAKER_11
transcript.pyannote[1523].start 10011.37784375
transcript.pyannote[1523].end 10011.39471875
transcript.pyannote[1524].speaker SPEAKER_11
transcript.pyannote[1524].start 10011.74909375
transcript.pyannote[1524].end 10013.28471875
transcript.pyannote[1525].speaker SPEAKER_00
transcript.pyannote[1525].start 10033.16346875
transcript.pyannote[1525].end 10033.34909375
transcript.pyannote[1526].speaker SPEAKER_07
transcript.pyannote[1526].start 10046.15721875
transcript.pyannote[1526].end 10047.96284375
transcript.pyannote[1527].speaker SPEAKER_08
transcript.pyannote[1527].start 10047.96284375
transcript.pyannote[1527].end 10063.63971875
transcript.pyannote[1528].speaker SPEAKER_08
transcript.pyannote[1528].start 10063.94346875
transcript.pyannote[1528].end 10070.05221875
transcript.pyannote[1529].speaker SPEAKER_08
transcript.pyannote[1529].start 10070.57534375
transcript.pyannote[1529].end 10073.05596875
transcript.pyannote[1530].speaker SPEAKER_11
transcript.pyannote[1530].start 10073.73096875
transcript.pyannote[1530].end 10073.88284375
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 10073.88284375
transcript.pyannote[1531].end 10075.18221875
transcript.pyannote[1532].speaker SPEAKER_12
transcript.pyannote[1532].start 10075.45221875
transcript.pyannote[1532].end 10082.08409375
transcript.pyannote[1533].speaker SPEAKER_08
transcript.pyannote[1533].start 10079.56971875
transcript.pyannote[1533].end 10098.52034375
transcript.pyannote[1534].speaker SPEAKER_12
transcript.pyannote[1534].start 10083.75471875
transcript.pyannote[1534].end 10084.15971875
transcript.pyannote[1535].speaker SPEAKER_12
transcript.pyannote[1535].start 10097.20409375
transcript.pyannote[1535].end 10097.27159375
transcript.pyannote[1536].speaker SPEAKER_12
transcript.pyannote[1536].start 10098.19971875
transcript.pyannote[1536].end 10106.55284375
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 10107.85221875
transcript.pyannote[1537].end 10114.26471875
transcript.pyannote[1538].speaker SPEAKER_12
transcript.pyannote[1538].start 10114.33221875
transcript.pyannote[1538].end 10117.53846875
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 10116.17159375
transcript.pyannote[1539].end 10116.23909375
transcript.pyannote[1540].speaker SPEAKER_08
transcript.pyannote[1540].start 10117.53846875
transcript.pyannote[1540].end 10118.55096875
transcript.pyannote[1541].speaker SPEAKER_08
transcript.pyannote[1541].start 10118.88846875
transcript.pyannote[1541].end 10122.21284375
transcript.pyannote[1542].speaker SPEAKER_12
transcript.pyannote[1542].start 10122.21284375
transcript.pyannote[1542].end 10125.13221875
transcript.pyannote[1543].speaker SPEAKER_08
transcript.pyannote[1543].start 10122.38159375
transcript.pyannote[1543].end 10122.51659375
transcript.pyannote[1544].speaker SPEAKER_08
transcript.pyannote[1544].start 10125.26721875
transcript.pyannote[1544].end 10127.24159375
transcript.pyannote[1545].speaker SPEAKER_08
transcript.pyannote[1545].start 10127.46096875
transcript.pyannote[1545].end 10129.57034375
transcript.pyannote[1546].speaker SPEAKER_08
transcript.pyannote[1546].start 10130.02596875
transcript.pyannote[1546].end 10131.64596875
transcript.pyannote[1547].speaker SPEAKER_09
transcript.pyannote[1547].start 10131.64596875
transcript.pyannote[1547].end 10132.42221875
transcript.pyannote[1548].speaker SPEAKER_08
transcript.pyannote[1548].start 10132.06784375
transcript.pyannote[1548].end 10135.54409375
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 10135.86471875
transcript.pyannote[1549].end 10144.35284375
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 10144.96034375
transcript.pyannote[1550].end 10152.43596875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 10152.85784375
transcript.pyannote[1551].end 10160.36721875
transcript.pyannote[1552].speaker SPEAKER_07
transcript.pyannote[1552].start 10162.94909375
transcript.pyannote[1552].end 10170.61034375
transcript.pyannote[1553].speaker SPEAKER_07
transcript.pyannote[1553].start 10170.84659375
transcript.pyannote[1553].end 10177.02284375
transcript.pyannote[1554].speaker SPEAKER_06
transcript.pyannote[1554].start 10175.85846875
transcript.pyannote[1554].end 10177.51221875
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 10177.02284375
transcript.pyannote[1555].end 10189.66221875
transcript.pyannote[1556].speaker SPEAKER_03
transcript.pyannote[1556].start 10190.40471875
transcript.pyannote[1556].end 10191.78846875
transcript.pyannote[1557].speaker SPEAKER_07
transcript.pyannote[1557].start 10190.92784375
transcript.pyannote[1557].end 10206.08159375
transcript.pyannote[1558].speaker SPEAKER_06
transcript.pyannote[1558].start 10201.01909375
transcript.pyannote[1558].end 10201.55909375
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 10205.42346875
transcript.pyannote[1559].end 10231.29284375
transcript.pyannote[1560].speaker SPEAKER_02
transcript.pyannote[1560].start 10232.64284375
transcript.pyannote[1560].end 10234.53284375
transcript.pyannote[1561].speaker SPEAKER_02
transcript.pyannote[1561].start 10234.75221875
transcript.pyannote[1561].end 10237.50284375
transcript.pyannote[1562].speaker SPEAKER_16
transcript.pyannote[1562].start 10252.58909375
transcript.pyannote[1562].end 10256.20034375
transcript.pyannote[1563].speaker SPEAKER_16
transcript.pyannote[1563].start 10256.40284375
transcript.pyannote[1563].end 10256.63909375
transcript.pyannote[1564].speaker SPEAKER_16
transcript.pyannote[1564].start 10257.28034375
transcript.pyannote[1564].end 10257.93846875
transcript.pyannote[1565].speaker SPEAKER_07
transcript.pyannote[1565].start 10262.34284375
transcript.pyannote[1565].end 10262.37659375
transcript.pyannote[1566].speaker SPEAKER_16
transcript.pyannote[1566].start 10262.37659375
transcript.pyannote[1566].end 10264.11471875
transcript.pyannote[1567].speaker SPEAKER_16
transcript.pyannote[1567].start 10264.16534375
transcript.pyannote[1567].end 10274.35784375
transcript.pyannote[1568].speaker SPEAKER_16
transcript.pyannote[1568].start 10274.61096875
transcript.pyannote[1568].end 10278.62721875
transcript.pyannote[1569].speaker SPEAKER_16
transcript.pyannote[1569].start 10278.96471875
transcript.pyannote[1569].end 10293.71346875
transcript.pyannote[1570].speaker SPEAKER_16
transcript.pyannote[1570].start 10294.11846875
transcript.pyannote[1570].end 10299.31596875
transcript.pyannote[1571].speaker SPEAKER_11
transcript.pyannote[1571].start 10295.78909375
transcript.pyannote[1571].end 10295.87346875
transcript.pyannote[1572].speaker SPEAKER_09
transcript.pyannote[1572].start 10295.87346875
transcript.pyannote[1572].end 10295.90721875
transcript.pyannote[1573].speaker SPEAKER_11
transcript.pyannote[1573].start 10299.83909375
transcript.pyannote[1573].end 10300.10909375
transcript.pyannote[1574].speaker SPEAKER_16
transcript.pyannote[1574].start 10300.10909375
transcript.pyannote[1574].end 10302.18471875
transcript.pyannote[1575].speaker SPEAKER_16
transcript.pyannote[1575].start 10302.35346875
transcript.pyannote[1575].end 10305.22221875
transcript.pyannote[1576].speaker SPEAKER_16
transcript.pyannote[1576].start 10305.49221875
transcript.pyannote[1576].end 10311.44909375
transcript.pyannote[1577].speaker SPEAKER_16
transcript.pyannote[1577].start 10311.93846875
transcript.pyannote[1577].end 10312.34346875
transcript.pyannote[1578].speaker SPEAKER_16
transcript.pyannote[1578].start 10313.60909375
transcript.pyannote[1578].end 10314.09846875
transcript.pyannote[1579].speaker SPEAKER_16
transcript.pyannote[1579].start 10314.46971875
transcript.pyannote[1579].end 10326.99096875
transcript.pyannote[1580].speaker SPEAKER_16
transcript.pyannote[1580].start 10327.73346875
transcript.pyannote[1580].end 10331.71596875
transcript.pyannote[1581].speaker SPEAKER_16
transcript.pyannote[1581].start 10332.27284375
transcript.pyannote[1581].end 10363.72784375
transcript.pyannote[1582].speaker SPEAKER_16
transcript.pyannote[1582].start 10363.84596875
transcript.pyannote[1582].end 10404.46409375
transcript.pyannote[1583].speaker SPEAKER_16
transcript.pyannote[1583].start 10404.61596875
transcript.pyannote[1583].end 10405.56096875
transcript.pyannote[1584].speaker SPEAKER_16
transcript.pyannote[1584].start 10405.72971875
transcript.pyannote[1584].end 10406.53971875
transcript.pyannote[1585].speaker SPEAKER_16
transcript.pyannote[1585].start 10406.86034375
transcript.pyannote[1585].end 10411.18034375
transcript.pyannote[1586].speaker SPEAKER_16
transcript.pyannote[1586].start 10411.23096875
transcript.pyannote[1586].end 10424.32596875
transcript.pyannote[1587].speaker SPEAKER_16
transcript.pyannote[1587].start 10424.74784375
transcript.pyannote[1587].end 10437.28596875
transcript.pyannote[1588].speaker SPEAKER_16
transcript.pyannote[1588].start 10437.45471875
transcript.pyannote[1588].end 10511.01284375
transcript.pyannote[1589].speaker SPEAKER_07
transcript.pyannote[1589].start 10511.26596875
transcript.pyannote[1589].end 10546.14659375
transcript.pyannote[1590].speaker SPEAKER_00
transcript.pyannote[1590].start 10516.96971875
transcript.pyannote[1590].end 10517.03721875
transcript.pyannote[1591].speaker SPEAKER_16
transcript.pyannote[1591].start 10517.03721875
transcript.pyannote[1591].end 10517.23971875
transcript.pyannote[1592].speaker SPEAKER_11
transcript.pyannote[1592].start 10527.80346875
transcript.pyannote[1592].end 10528.20846875
transcript.pyannote[1593].speaker SPEAKER_07
transcript.pyannote[1593].start 10546.21409375
transcript.pyannote[1593].end 10548.69471875
transcript.pyannote[1594].speaker SPEAKER_11
transcript.pyannote[1594].start 10548.49221875
transcript.pyannote[1594].end 10548.89721875
transcript.pyannote[1595].speaker SPEAKER_07
transcript.pyannote[1595].start 10548.81284375
transcript.pyannote[1595].end 10558.29659375
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 10558.29659375
transcript.pyannote[1596].end 10558.85346875
transcript.pyannote[1597].speaker SPEAKER_07
transcript.pyannote[1597].start 10558.70159375
transcript.pyannote[1597].end 10580.11596875
transcript.pyannote[1598].speaker SPEAKER_11
transcript.pyannote[1598].start 10558.87034375
transcript.pyannote[1598].end 10559.20784375
transcript.pyannote[1599].speaker SPEAKER_16
transcript.pyannote[1599].start 10580.11596875
transcript.pyannote[1599].end 10600.31534375
transcript.pyannote[1600].speaker SPEAKER_06
transcript.pyannote[1600].start 10585.48221875
transcript.pyannote[1600].end 10585.90409375
transcript.pyannote[1601].speaker SPEAKER_06
transcript.pyannote[1601].start 10590.08909375
transcript.pyannote[1601].end 10590.61221875
transcript.pyannote[1602].speaker SPEAKER_07
transcript.pyannote[1602].start 10599.65721875
transcript.pyannote[1602].end 10600.29846875
transcript.pyannote[1603].speaker SPEAKER_07
transcript.pyannote[1603].start 10600.31534375
transcript.pyannote[1603].end 10600.33221875
transcript.pyannote[1604].speaker SPEAKER_16
transcript.pyannote[1604].start 10600.33221875
transcript.pyannote[1604].end 10601.73284375
transcript.pyannote[1605].speaker SPEAKER_07
transcript.pyannote[1605].start 10601.73284375
transcript.pyannote[1605].end 10601.74971875
transcript.pyannote[1606].speaker SPEAKER_16
transcript.pyannote[1606].start 10601.74971875
transcript.pyannote[1606].end 10601.80034375
transcript.pyannote[1607].speaker SPEAKER_07
transcript.pyannote[1607].start 10601.80034375
transcript.pyannote[1607].end 10601.93534375
transcript.pyannote[1608].speaker SPEAKER_16
transcript.pyannote[1608].start 10601.93534375
transcript.pyannote[1608].end 10602.00284375
transcript.pyannote[1609].speaker SPEAKER_07
transcript.pyannote[1609].start 10602.00284375
transcript.pyannote[1609].end 10602.47534375
transcript.pyannote[1610].speaker SPEAKER_16
transcript.pyannote[1610].start 10602.03659375
transcript.pyannote[1610].end 10617.81471875
transcript.pyannote[1611].speaker SPEAKER_07
transcript.pyannote[1611].start 10603.89284375
transcript.pyannote[1611].end 10605.63096875
transcript.pyannote[1612].speaker SPEAKER_16
transcript.pyannote[1612].start 10617.96659375
transcript.pyannote[1612].end 10624.17659375
transcript.pyannote[1613].speaker SPEAKER_07
transcript.pyannote[1613].start 10623.78846875
transcript.pyannote[1613].end 10652.96534375
transcript.pyannote[1614].speaker SPEAKER_16
transcript.pyannote[1614].start 10624.76721875
transcript.pyannote[1614].end 10624.96971875
transcript.pyannote[1615].speaker SPEAKER_16
transcript.pyannote[1615].start 10628.80034375
transcript.pyannote[1615].end 10629.13784375
transcript.pyannote[1616].speaker SPEAKER_00
transcript.pyannote[1616].start 10631.43284375
transcript.pyannote[1616].end 10631.48346875
transcript.pyannote[1617].speaker SPEAKER_11
transcript.pyannote[1617].start 10631.48346875
transcript.pyannote[1617].end 10631.50034375
transcript.pyannote[1618].speaker SPEAKER_16
transcript.pyannote[1618].start 10631.50034375
transcript.pyannote[1618].end 10631.53409375
transcript.pyannote[1619].speaker SPEAKER_11
transcript.pyannote[1619].start 10631.53409375
transcript.pyannote[1619].end 10631.58471875
transcript.pyannote[1620].speaker SPEAKER_16
transcript.pyannote[1620].start 10631.58471875
transcript.pyannote[1620].end 10631.60159375
transcript.pyannote[1621].speaker SPEAKER_11
transcript.pyannote[1621].start 10631.60159375
transcript.pyannote[1621].end 10631.73659375
transcript.pyannote[1622].speaker SPEAKER_00
transcript.pyannote[1622].start 10631.73659375
transcript.pyannote[1622].end 10631.77034375
transcript.pyannote[1623].speaker SPEAKER_11
transcript.pyannote[1623].start 10636.73159375
transcript.pyannote[1623].end 10636.96784375
transcript.pyannote[1624].speaker SPEAKER_00
transcript.pyannote[1624].start 10636.96784375
transcript.pyannote[1624].end 10637.23784375
transcript.pyannote[1625].speaker SPEAKER_00
transcript.pyannote[1625].start 10642.85721875
transcript.pyannote[1625].end 10642.89096875
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 10642.89096875
transcript.pyannote[1626].end 10643.36346875
transcript.pyannote[1627].speaker SPEAKER_16
transcript.pyannote[1627].start 10649.69159375
transcript.pyannote[1627].end 10671.25784375
transcript.pyannote[1628].speaker SPEAKER_07
transcript.pyannote[1628].start 10654.31534375
transcript.pyannote[1628].end 10655.37846875
transcript.pyannote[1629].speaker SPEAKER_07
transcript.pyannote[1629].start 10655.39534375
transcript.pyannote[1629].end 10656.22221875
transcript.pyannote[1630].speaker SPEAKER_06
transcript.pyannote[1630].start 10656.22221875
transcript.pyannote[1630].end 10656.62721875
transcript.pyannote[1631].speaker SPEAKER_07
transcript.pyannote[1631].start 10656.62721875
transcript.pyannote[1631].end 10656.98159375
transcript.pyannote[1632].speaker SPEAKER_00
transcript.pyannote[1632].start 10658.17971875
transcript.pyannote[1632].end 10658.65221875
transcript.pyannote[1633].speaker SPEAKER_07
transcript.pyannote[1633].start 10658.65221875
transcript.pyannote[1633].end 10658.97284375
transcript.pyannote[1634].speaker SPEAKER_00
transcript.pyannote[1634].start 10658.97284375
transcript.pyannote[1634].end 10659.00659375
transcript.pyannote[1635].speaker SPEAKER_00
transcript.pyannote[1635].start 10660.22159375
transcript.pyannote[1635].end 10660.23846875
transcript.pyannote[1636].speaker SPEAKER_11
transcript.pyannote[1636].start 10660.23846875
transcript.pyannote[1636].end 10660.76159375
transcript.pyannote[1637].speaker SPEAKER_16
transcript.pyannote[1637].start 10671.73034375
transcript.pyannote[1637].end 10675.07159375
transcript.pyannote[1638].speaker SPEAKER_07
transcript.pyannote[1638].start 10674.97034375
transcript.pyannote[1638].end 10699.45596875
transcript.pyannote[1639].speaker SPEAKER_16
transcript.pyannote[1639].start 10675.10534375
transcript.pyannote[1639].end 10675.12221875
transcript.pyannote[1640].speaker SPEAKER_16
transcript.pyannote[1640].start 10675.37534375
transcript.pyannote[1640].end 10675.74659375
transcript.pyannote[1641].speaker SPEAKER_16
transcript.pyannote[1641].start 10679.83034375
transcript.pyannote[1641].end 10680.28596875
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 10684.45409375
transcript.pyannote[1642].end 10684.58909375
transcript.pyannote[1643].speaker SPEAKER_16
transcript.pyannote[1643].start 10692.35159375
transcript.pyannote[1643].end 10692.77346875
transcript.pyannote[1644].speaker SPEAKER_16
transcript.pyannote[1644].start 10695.16971875
transcript.pyannote[1644].end 10695.47346875
transcript.pyannote[1645].speaker SPEAKER_16
transcript.pyannote[1645].start 10699.50659375
transcript.pyannote[1645].end 10699.54034375
transcript.pyannote[1646].speaker SPEAKER_02
transcript.pyannote[1646].start 10699.54034375
transcript.pyannote[1646].end 10701.09284375
transcript.pyannote[1647].speaker SPEAKER_02
transcript.pyannote[1647].start 10702.34159375
transcript.pyannote[1647].end 10703.99534375
transcript.pyannote[1648].speaker SPEAKER_02
transcript.pyannote[1648].start 10704.40034375
transcript.pyannote[1648].end 10704.77159375
transcript.pyannote[1649].speaker SPEAKER_02
transcript.pyannote[1649].start 10707.15096875
transcript.pyannote[1649].end 10720.11096875
transcript.pyannote[1650].speaker SPEAKER_02
transcript.pyannote[1650].start 10721.30909375
transcript.pyannote[1650].end 10733.57721875
transcript.pyannote[1651].speaker SPEAKER_02
transcript.pyannote[1651].start 10735.41659375
transcript.pyannote[1651].end 10739.14596875
transcript.pyannote[1652].speaker SPEAKER_02
transcript.pyannote[1652].start 10739.77034375
transcript.pyannote[1652].end 10743.46596875
transcript.pyannote[1653].speaker SPEAKER_02
transcript.pyannote[1653].start 10744.24221875
transcript.pyannote[1653].end 10744.96784375
transcript.pyannote[1654].speaker SPEAKER_02
transcript.pyannote[1654].start 10745.54159375
transcript.pyannote[1654].end 10748.69721875
transcript.pyannote[1655].speaker SPEAKER_02
transcript.pyannote[1655].start 10749.64221875
transcript.pyannote[1655].end 10752.37596875
transcript.whisperx[0].start 73.39
transcript.whisperx[0].end 87.289
transcript.whisperx[0].text 感谢观看
transcript.whisperx[1].start 117.927
transcript.whisperx[1].end 120.535
transcript.whisperx[1].text 谢谢观看
transcript.whisperx[2].start 212.346
transcript.whisperx[2].end 214.084
transcript.whisperx[2].text 谢谢观看,下次见!
transcript.whisperx[3].start 269.155
transcript.whisperx[3].end 269.701
transcript.whisperx[3].text 谢谢观看
transcript.whisperx[4].start 393.234
transcript.whisperx[4].end 396.901
transcript.whisperx[4].text 谢谢观看
transcript.whisperx[5].start 535.47
transcript.whisperx[5].end 544.103
transcript.whisperx[5].text 感谢观看
transcript.whisperx[6].start 627.5
transcript.whisperx[6].end 628.001
transcript.whisperx[6].text 谢谢观看
transcript.whisperx[7].start 1077.995
transcript.whisperx[7].end 1081.792
transcript.whisperx[7].text 谢谢观看
transcript.whisperx[8].start 1230.794
transcript.whisperx[8].end 1233.067
transcript.whisperx[8].text 谢谢观看
transcript.whisperx[9].start 1275.435
transcript.whisperx[9].end 1277.807
transcript.whisperx[9].text 谢谢观看,下次见!
transcript.whisperx[10].start 1428.899
transcript.whisperx[10].end 1431.456
transcript.whisperx[10].text 谢谢观看
transcript.whisperx[11].start 1567.637
transcript.whisperx[11].end 1568.834
transcript.whisperx[11].text 谢谢大家
transcript.whisperx[12].start 1676.852
transcript.whisperx[12].end 1684.376
transcript.whisperx[12].text 谢谢观看
transcript.whisperx[13].start 1827.456
transcript.whisperx[13].end 1851.735
transcript.whisperx[13].text 請主任命書報告初期人數報告委員會初期委員10人已足法定人數好現在開會進行報告事項請宣讀上次會議議事錄立法院第11屆第5會期內政委員會第一次全體委員會會議議事錄時間115年3月11日星期三上午93分至97分地點紅樓202會議室初期委員張志倫委員等13人主席詹委員紅錄
transcript.whisperx[14].start 1856.819
transcript.whisperx[14].end 1870.909
transcript.whisperx[14].text 報告事項一本院人事處提報院會關於立法院第十一屆第五會期各委員會召集委員選舉時間地點表業經本院第十一屆第五會期第一次會議報告決定在案並經本院人事處函送本會召集委員選舉人名冊到會
transcript.whisperx[15].start 1871.89
transcript.whisperx[15].end 1899.44
transcript.whisperx[15].text 二 宣讀本院第十一屆第五會期本會召集委員選舉人名冊選舉事項 選舉第十一屆第五會期本會召集委員二人一 當場推舉張委員洪璐擔任本次會議主席二 各黨團提出書面以推選方式行之主席宣告推選李委員博弈 廖委員先降為本院第十一屆第五會期本會召集委員 宣讀完畢請問張常委員 上次會議議事錄有沒有遺漏或者是錯誤
transcript.whisperx[16].start 1901.323
transcript.whisperx[16].end 1925.471
transcript.whisperx[16].text 好,那如果沒有錯誤的話,我們就依事錄確定繼續進行本日議程,請宣讀報告事項二,邀請內政部部長率同所屬列席報告業務概況,含上會及臨時提案辦理情形,並備質詢討論事項,審查委員林軍憲等23人擬拒,市區道路條例第23條條文修正草案案宣讀完畢
transcript.whisperx[17].start 1929.584
transcript.whisperx[17].end 1947.273
transcript.whisperx[17].text 本日議程進行報告事項跟討論事項那合併詢答現在介紹在場委員跟列席官員我們先介紹張志文委員蘇巧惠委員黃婕委員王美惠委員
transcript.whisperx[18].start 1952.827
transcript.whisperx[18].end 1980.843
transcript.whisperx[18].text 好謝謝,因為今天內政部來的官員非常多,我重點介紹請劉士凡部長大家好國土署蔡長展署長警政署張榮興署長中央警察大學黃明昭校長消防署蕭煥章署長
transcript.whisperx[19].start 1983.871
transcript.whisperx[19].end 2002.912
transcript.whisperx[19].text 移民署林鴻恩署長國家公園署王承基署長住度中心董事長花敬群好謝謝那內政部來的官員非常多很多司長處長我這裡就不一一介紹
transcript.whisperx[20].start 2006.145
transcript.whisperx[20].end 2026.234
transcript.whisperx[20].text 今天有排一個案,就是有關盜交條例,那這個其實是跟燃料稅有關這是林郡縣委員的提案,先請林郡縣委員提案說明如果沒有的話有沒有代表?沒有好,如果沒有的話,那我們就直接請劉世芳部長跟業務報告跟法案一併報告要不要先時間?一併報告
transcript.whisperx[21].start 2042.491
transcript.whisperx[21].end 2056.6
transcript.whisperx[21].text 主席 各位委員 女士 先生 大家早今天早上有兩個口頭報告一個就是內政部的業務報告一個就是剛剛主席採釋的有關於修正市區道路條例第23條條文的報告那口頭報告有兩個
transcript.whisperx[22].start 2057.541
transcript.whisperx[22].end 2084.762
transcript.whisperx[22].text 我先從內政部的業務報告跟各位委員女士先生來做報告今天可以到內政委員會來報告我們內政部的業務概況深感榮幸感謝各位委員長期對於內政業務的策略跟支持上個會期有通過多項與民眾權益息息相關的法案也讓各項作業能夠與時俱進具體推展我們國家新的制度以下僅就三大面向的重點
transcript.whisperx[23].start 2085.302
transcript.whisperx[23].end 2103.952
transcript.whisperx[23].text 向各位委員先進來檢要報告那另外本部的重要工作推動情形的詳細資料也敬請各位委員可以參閱我們的書面報告首先呢在安心安全任性家園的方面第一個是有關於維護社會安定面對詐欺犯罪手法日新月異本部持續滾動
transcript.whisperx[24].start 2106.073
transcript.whisperx[24].end 2131.087
transcript.whisperx[24].text 經進床詐作為在114年11月7日升格詐欺犯罪防治中心擴大編制新設詐欺偵查隊並且在115年1月21日公布施行詐欺犯罪違害條例防治違害條例的修正案以提升第一線人員執法的效能另外為了維護安全生活環境內政部持續加強打擊幫派毒品等犯罪
transcript.whisperx[25].start 2131.767
transcript.whisperx[25].end 2155.312
transcript.whisperx[25].text 並且策進緊急維安事件處置作為建立警察機關快速打擊犯罪部隊分級調度與應處機制以守護全民的安全第二有關深化社會防衛力的部分為了將自助及互助能量紮根地方擴大推動防災式的培訓到115年2月底止已經有超過11萬1千名合格的防災式
transcript.whisperx[26].start 2156.292
transcript.whisperx[26].end 2173.981
transcript.whisperx[26].text 同時透過韌性特別預算優化各地避難空間確保每一寸國土都有強大的守護韌性此外為了堅實全國災害防救體系運作的效能推動研修災害防救法規劃增列驗澀湖災害以及增訂公務機關應該設置災防長等規範
transcript.whisperx[27].start 2177.342
transcript.whisperx[27].end 2194.853
transcript.whisperx[27].text 這個草案在115年1月27日已經函報行政院審查希望這個會期可以送到大院來進行審查以達到我們在深化社會防衛力的一個功能第三有關精進警消權益維護方面為了落實警消權益的照護
transcript.whisperx[28].start 2195.914
transcript.whisperx[28].end 2223.697
transcript.whisperx[28].text 行政院核定從115年3月1日起調高全國刑事加成由原來資整級數額加6成提升為加8成並且全面調升警察勤務繁重加成以及消防危險加擠除了提高六都加成上限之外並且擴大納入基隆市等13個本島縣市最高可加發4成之擠以衛免基層警消同仁的薪勞
transcript.whisperx[29].start 2224.818
transcript.whisperx[29].end 2252.284
transcript.whisperx[29].text 第二大項在安居低碳永續環境方面一擴大居住照顧配合115年3月4日修正公佈住宅法明定社會住宅至少20%出租與新婚或育有未成年子女的家庭以及建置社會住宅申請登記平台內政部將持續運用多元新辦社會住宅社宅包租代管租金補貼等政策實質減輕民眾居住的負擔
transcript.whisperx[30].start 2254.724
transcript.whisperx[30].end 2273.645
transcript.whisperx[30].text 同時為了持續推展青年婚姻租屋協助支持專案115年將擴大到9個縣市提供超過1000戶並且延長育兒家庭成租年限最高達12年來搭配補貼加碼等措施打造婚姻民眾最有力的支持系統
transcript.whisperx[31].start 2274.406
transcript.whisperx[31].end 2298.651
transcript.whisperx[31].text 二共創國土新風貌因應我國住宅老化高齡化社會的雙重挑戰內政部跟衛福部以及經濟部也推出老宅延壽機能的復興計畫將在116年底以前投入新台幣50億元韌性特別預算協助約2到3萬戶民眾整修30年以上老舊住宅
transcript.whisperx[32].start 2299.631
transcript.whisperx[32].end 2319.47
transcript.whisperx[32].text 內政部已經陸續辦理了總共15場地方的巡迴說明會與民眾來充分溝通跟對話讓老屋對變為符合全民生活機能的友善住宅為了精進相關的制度推動研修都市危險及老舊建築物加速重建條例並且在114年12月17日函報行政院審查
transcript.whisperx[33].start 2322.813
transcript.whisperx[33].end 2342.887
transcript.whisperx[33].text 新增修繕方式及付稅減免以增進參與的誘因後續將檢討修正都市更新條例的相關法規以推升民眾自行實施都市更新量能也期待在未來大院可以在這個會期審查有關都市更新條例的相關法條
transcript.whisperx[34].start 2343.948
transcript.whisperx[34].end 2370.114
transcript.whisperx[34].text 第三推動工地放領方面為了落實憲法扶植自耕農的政策展開工地放領工作內政部在115年2月2日修正發布《國有耕地放領實施辦法》截至115年3月13日子已經審議通過包括宜蘭縣、台東縣、彰化縣三岸放領案協助辛勤耕耘的農民取得長期守護的土地
transcript.whisperx[35].start 2371.024
transcript.whisperx[35].end 2393.32
transcript.whisperx[35].text 第三大項在民主友善共榮社會方面一精進地方治理為了落實114年12月3日修正公佈的地方製度法提高地方民意代表婦女保障比例等本部已經在12月26日函請各地方政府依照修正後規定推動政務並且積極研修配套的執法
transcript.whisperx[36].start 2393.88
transcript.whisperx[36].end 2411.702
transcript.whisperx[36].text 另外為了配合行政區劃程序法在115年7月1日施行為了確立行政區域調整程序一致化現在正在完備相關的配套措施以確保地方發展符合民眾的需求二友善人權環境方面
transcript.whisperx[37].start 2412.262
transcript.whisperx[37].end 2426.459
transcript.whisperx[37].text 為了建立更具吸引力的流財環境配合《外國專業人才研覽及僱用法》的修正從115年1月1日起放寬外國特定專業人才申請永久居留等規範預估超過2萬人會受惠
transcript.whisperx[38].start 2429.122
transcript.whisperx[38].end 2443.459
transcript.whisperx[38].text 另外為了減輕新住民家庭在台育兒及生活負擔114年12月30日修正發布《外國人停留居留及永久居留辦法》放寬外國籍父母在台停留期間預計會超過2000個家庭受惠
transcript.whisperx[39].start 2446.182
transcript.whisperx[39].end 2465.342
transcript.whisperx[39].text 結語的部分內政團隊將持續秉持務實執行專業領航的精神堅韌前行希望各位委員先進不吝給予策略跟指導共同建設幸福家園另外大院第十四屆第四會期內政委員會通過有關本部臨時提案辦理情形降附候表敬請參閱
transcript.whisperx[40].start 2467.557
transcript.whisperx[40].end 2490.759
transcript.whisperx[40].text 有關第二個口頭報告的部分就是剛剛有提到大院委員林俊憲等23人提案修正市區道路條例第23條條文提出報告感謝各位委員對我們的關心跟指導那就有關於內政委會審議委員提案之市區道路條例部分條文修正草案我們的延期意見簡要說明如下
transcript.whisperx[41].start 2492
transcript.whisperx[41].end 2507.926
transcript.whisperx[41].text 委員林俊憲賴瑞榮等23人提案指出現行的汽車燃料使用費是作為道路養護與安全管理之經費來源之一因應電動車日益普及並且落實使用者付費原則卻有檢討之必要
transcript.whisperx[42].start 2508.726
transcript.whisperx[42].end 2534.85
transcript.whisperx[42].text 一市區道路條例第23條規定汽車燃料使用費為市區道路經費來源之一並且由公路主管機關統一徵收後分配另外查訪公路法第27條業餘114年12月19日修正公佈已經將汽車燃料使用費更名為公路使用養護安全管理費第三為了維持法體系的用語一致
transcript.whisperx[43].start 2535.77
transcript.whisperx[43].end 2559.55
transcript.whisperx[43].text 並且有利於後續制度的執行內政部將配合公路法修正相關的條文綜合上面所述為了配合公路法修正內容委員提案修正市區道路條例第23條相關規定以確保法制一致與制度順利推動內政部敬表支持僅提供內政部建議如上上請各位委員參考感謝好 謝謝部長
transcript.whisperx[44].start 2564.445
transcript.whisperx[44].end 2591.426
transcript.whisperx[44].text 現在進行詢答委員質詢前原例做幾點宣告1.每位委員發言時間本會委員5分鐘,必要時得延長2分鐘,非本會委員5分鐘,上午10點30分截止登記發言本次會議不處理臨時提案請問各位委員有沒有意見?沒有好,那現在進行詢答請登記第一位的蘇巧慧委員發言
transcript.whisperx[45].start 2603.251
transcript.whisperx[45].end 2605.192
transcript.whisperx[45].text 好 謝謝主席 我們請劉部長來 請劉部長委員早部長好部長 新會期開始想首先針對幾個最近其實在地方反映社會反映都很正面的一些訊息跟你做一些就教因為我們需要有更深刻更細緻的資訊在裡面第一個的話就是講這個警消的加急
transcript.whisperx[46].start 2632.583
transcript.whisperx[46].end 2645.839
transcript.whisperx[46].text 我想行政院在核定自這個3月1日起調高了全國的刑事加成那這個消防的部分也有這個增加我們的待遇這是中央和地方大家都樂見全國都樂見的部分可不可以請部長再幫我們解釋一下說明一下我們這次的調高大概是到什麼樣的程度
transcript.whisperx[47].start 2653.508
transcript.whisperx[47].end 2673.185
transcript.whisperx[47].text 謝謝委員的指教其實委員非常清楚我們在上個會期內政委員會的時候包括委員在內都大力推動那所以有關加成的部分在警察方面就是我們擴大到非六都的部分那原來在六都的部分的話它的加成就是我剛剛所報告的會提高到兩成左右
transcript.whisperx[48].start 2673.866
transcript.whisperx[48].end 2681.955
transcript.whisperx[48].text 那再來就是有關刑事加擠的部分這次也是列計進去那現在我們警政署正要求各地的縣市政府警察局長趕快來報告他們的縣市長希望可以塑製今年3月1號就開始
transcript.whisperx[49].start 2688.943
transcript.whisperx[49].end 2713.731
transcript.whisperx[49].text 現在就是想請問的這個部分其實我們非常非常的知道警察同仁的辛苦所以中央地方全國那我們當然各委員在這個立法院這邊可以要求的時候不管公開或私下其實都是希望能夠調高這樣的待遇所以以我們新北市我們新北市來舉例的話一般員警呢在修正前和修正後其實每個月的10領加給
transcript.whisperx[50].start 2715.171
transcript.whisperx[50].end 2737.204
transcript.whisperx[50].text 幾乎是可以到快3000元那形式呢其實每個月的使領加給最高有將近將近5000元其實是差別蠻大的那這就是對勤務繁重尤其是我們六都其實是一個最實際的鼓勵可是你剛剛也說到了其實部長這就是我想詢問的中央已經調高了等於是打開了這個天花板那
transcript.whisperx[51].start 2737.964
transcript.whisperx[51].end 2755.3
transcript.whisperx[51].text 地方的預算編列您說您現在是要求地方縣市的警察局跟首長報告然後預算編列那請問這個時程是什麼時候報告委員我想應該是這樣子第一個呢今年正在執行的預算大部分的縣市政府呢都已經在議會裡面通過
transcript.whisperx[52].start 2756.721
transcript.whisperx[52].end 2772.832
transcript.whisperx[52].text 是那但是呢我們在今年執行的預算的時候發現到說我們警察在各縣市地方政府呢他們的人事經費其實是有餘裕的因為到處的員額啊都不是那麼滿的狀況之下所以在沒有增加特別
transcript.whisperx[53].start 2773.392
transcript.whisperx[53].end 2798.614
transcript.whisperx[53].text 特別需要在議會通過這個預算之前如果縣市首長他同意的話再送議會知道說有這個辦法公布之後那其實我們有核算過應該從今年3月1號來追溯是沒有太大問題的那目前為止包括新北市在內他們在3月13的時候已經有核定包括繁重加急以及勤務的加急
transcript.whisperx[54].start 2799.395
transcript.whisperx[54].end 2826.404
transcript.whisperx[54].text 非常好那部長謝謝你這邊的說明那我想透過您的說明其實全國各縣市也都可以看得到我們是不但調高了規定調高了值值那同時也認為這個預算是有空間可以編列下去所以實際在現在就可以馬上執行而且是可以回溯到今年的3月就可以開始執行的那我希望各縣市政府那當然我們很高興樂見新北市也已經在3月13號已經通過了
transcript.whisperx[55].start 2828.044
transcript.whisperx[55].end 2843.141
transcript.whisperx[55].text 好那這樣的話另外一個下一個進度的話就是我們其實也在尤其是我啦我記得去年的10月16號也和民進黨的委員們都共同的提案其實我們還有另外在爭取一個部分也就是請內政部研議擴大深夜為勞津貼的核發範圍
transcript.whisperx[56].start 2848.226
transcript.whisperx[56].end 2863.159
transcript.whisperx[56].text 因為我們認為說要輪班維修的人員他即使是駐地內勤的這個部分其實也應該要可以納入那我不曉得從去年的10月我們要求了之後到現在現在研議的進度如何報告委員
transcript.whisperx[57].start 2864.02
transcript.whisperx[57].end 2879.564
transcript.whisperx[57].text 我們在三大這個津貼或者是三大這個加擠的部分就是剛剛所說的警察跟消防那現在有關於深夜圍牢津貼本來他如果是在勤的話本來就沒有太大問題我們要爭取的是深夜圍牢津貼是屬於被勤的
transcript.whisperx[58].start 2880.264
transcript.whisperx[58].end 2898.624
transcript.whisperx[58].text 背勤的部分那因為屬於背勤的部分的話人數就擴大非常的多除了我們的警消以外還有包括海巡或者是還有包括其他的這個有證紙的人所以呢在行政院人事行政總處或者主計處在核算的時候呢就會碰到這個困難那既然有這個困難的話我們還是來持續爭取
transcript.whisperx[59].start 2902.148
transcript.whisperx[59].end 2921.876
transcript.whisperx[59].text 希望能夠朝著這方向來努力那現在為止還沒有定案我們還是再一次的表達啦其實不管是只要是他有在這段時間內在深夜有工作的當然我們知道到外勤是當然更辛苦他所以可以有在危險勤務的加急但是他如果是在備勤的狀態說實在備就是備嘛
transcript.whisperx[60].start 2925.037
transcript.whisperx[60].end 2938.571
transcript.whisperx[60].text 背就是如果有的時候我就要出去了所以我們還是認為這個背景應該要納入深夜圍牢津貼的部分了所以我們還是再一次的表達希望內政部可以再跟行政院爭取這個部分的預算對我們的員警能夠有最實質的鼓勵對我們的消防員能夠有實質的鼓勵這是我們再一次的表達意見部長
transcript.whisperx[61].start 2946.839
transcript.whisperx[61].end 2959.915
transcript.whisperx[61].text 請繼續堅持我們會繼續爭取因為它裡面的人數真的非常的多但是我還是一直在強調說現在是屬於本來就有外勤的本來就有現在是被勤的部分所以被勤的部分我們會繼續爭取
transcript.whisperx[62].start 2963.679
transcript.whisperx[62].end 2992.006
transcript.whisperx[62].text 好 所以這個部分的話到這裡謝謝您的說明那另外也有一個一樣是非常受歡迎的政策但是也是希望有更細部的說明就是老宅延壽所以署長可以請回那這個老宅延壽我想這個內政部也在各次長的帶領之下其實到地方開了非常多次的說明會可以看得到其實鄉親出席的都非常非常的踴躍可見得對這個老宅延壽政策是表示非常支持的那
transcript.whisperx[63].start 2992.466
transcript.whisperx[63].end 3003.115
transcript.whisperx[63].text 我們現在的狀況反而是說哇 當時提出了50億的預算要來這個支持要來執行這個老宅延送可是你眼看著來參與說明會來報名的人可能不只這樣吧那所以內政部有什麼樣的因應狀況呢那同時我們在問題
transcript.whisperx[64].start 3011.101
transcript.whisperx[64].end 3029.436
transcript.whisperx[64].text 提出的同時也已經看到了坊間媒體就之前內政部2月5號的新聞稿說明以後變成有一種消息在坊間流傳說變成因為內政部因為知道自己這個政策很受歡迎所以它有四個來源加總它從有一種寫法是它是創造100億元的產值這是一種說法
transcript.whisperx[65].start 3031.638
transcript.whisperx[65].end 3047.647
transcript.whisperx[65].text 但是以後另外一種說法會變成是你已經再加碼了50億等於是籌措到另外50億的這個的費用預算也就是變成是100億的預算那這個部分部長請問到底哪一種何者為真哪一種是您現在的方向
transcript.whisperx[66].start 3048.047
transcript.whisperx[66].end 3071.187
transcript.whisperx[66].text 是謝謝委員的關心那委員也在地方上辦說明會的時候呢多次出席也幫鄉親來爭取權益我跟委員報告一下50億是真真確確在上一次我們特別預算的時候這是大家內政確定的然後三年內要執行結束沒錯但是呢我們發現到我們在推老宅延售的時候呢衛福部他也要加進來
transcript.whisperx[67].start 3072.068
transcript.whisperx[67].end 3100.651
transcript.whisperx[67].text 所以衛福部的經費是額外的對 22億那經濟部呢他們也想加進來經濟部有關於太陽光電也好或是其他ESCO的部分呢他們也要額外的部分那再來一個就是說我們在推動的過程當中啊地方也要按照地方他們的這個財政收支劃分法裡面的層級他們也必須要有一部分的補貼的經費放到裡面來那還有一個申請老宅延壽的人呢他自己也要有一部分的自備款
transcript.whisperx[68].start 3101.431
transcript.whisperx[68].end 3126.844
transcript.whisperx[68].text 所以呢我們用非常粗略的這個估計下來的話呢50億可能會增加變成到100億左右的這樣的產值會出現那哪一些會受惠呢第一個當然是申請老宅延壽的這些人第二個有關於像這個土木包工業或是修繕業者等等這些也會受惠那目前呢院長有再三要求我們把它備變清楚之後我們預計在今年5月就開始申請上路
transcript.whisperx[69].start 3128.044
transcript.whisperx[69].end 3140.649
transcript.whisperx[69].text 部長我還是建議我們的預算來源的數字和產值這兩個名詞可能不要混用可能比較好一點因為您剛剛也是又提到了說我們又加進了衛福部經濟部到這裡為止我們都非常樂見樂見有更多的資源投入這一個專案當中這個是我們樂見的但如果後面跳到我們初估會有100億的產值這兩個字出來我們就又會混淆掉了
transcript.whisperx[70].start 3153.954
transcript.whisperx[70].end 3180.392
transcript.whisperx[70].text 我剛剛有聽懂你的狀況應該就是我們會增加更多的預算那未來呢到底什麼樣的標準各縣市有沒有一定的比例比如說我新北市其實老宅最多啊那我是不是可以爭取最多王美惠已經在那邊搖頭了不行我新北市還是最多我們新北市要最多所以在這樣的狀況下我希望這個規範也可以更清楚所以部長這個部分的話也請你提供資料讓我們可以進一步跟鄉親說明好 是的謝謝文的指教好 謝謝
transcript.whisperx[71].start 3183.254
transcript.whisperx[71].end 3207.667
transcript.whisperx[71].text 好謝謝僑會委員接下來請張志倫委員發言好謝謝主席各位委員各位官員各位媒體朋友大家早安有請劉思芳劉部長我們警政署張署長以及國土署蔡署長還請部長署長
transcript.whisperx[72].start 3216.679
transcript.whisperx[72].end 3240.34
transcript.whisperx[72].text 部長早 首先還是這是這個會期第一次質詢本席在這邊還是要感謝內政部跟所屬單位過去的辛勞 那也期待這個會期大家一起努力好 那首先還是要先請教一下我們內政部這次的業務匯報裡面聚集在幾個最近這個有很多這個大家所重視的以及我們很多基層
transcript.whisperx[73].start 3241.141
transcript.whisperx[73].end 3258.453
transcript.whisperx[73].text 的核心的問題主要要請教的就是最近剛剛我們前面有委員有提到說這個最近內政部有提高這個警消的這個警情加急的部分那我覺得這個是非常好的一件事情那加急的金額大概約2000多元
transcript.whisperx[74].start 3260.074
transcript.whisperx[74].end 3277.386
transcript.whisperx[74].text 那可是本席這邊還是要為這個我們很多的基層的警察尤其是警察來發聲因為就最近上個月的新聞表示我們現在警察的缺額已經連續三年的缺額人數屢創新高從113年缺額達2392名到114年缺額達2344人今年的缺額還創歷史新高2402人
transcript.whisperx[75].start 3288.354
transcript.whisperx[75].end 3303.787
transcript.whisperx[75].text 所以我的意思是說雖然我們有這樣子的家籍喔是很好可是警察基層警察的心聲是什麼呢他們是低職等高工時啊他們家青喔要靠家籍我覺得這是他們內心喔最深沉想要
transcript.whisperx[76].start 3304.828
transcript.whisperx[76].end 3325.945
transcript.whisperx[76].text 想要請部長跟署長來協助的地方所以本席在這邊講其實基層警察他們的這個本縫是非常的低啊他們的薪水都要靠這個加給來去做把他們的薪水提高所以看起來很高事實上是很低尤其他們以後退休的時候是用本縫來去看他們未來的退休的狀況
transcript.whisperx[77].start 3326.866
transcript.whisperx[77].end 3354.484
transcript.whisperx[77].text 所以我在這邊是不是說既然我們都可以讓我們基層的警察的薪水整體的提高是不是這個會期部長跟署長我們可以來討論是不是我們的警察的職等跟諷點有沒有機會來提高比如說舉例諷點的部分同樣是公務人員警察的諷點他的折算率就比公務人員低所以很多警察覺得這非常不公平為什麼這個警察的諷點
transcript.whisperx[78].start 3355.545
transcript.whisperx[78].end 3378.922
transcript.whisperx[78].text 會比公務人員低那是不是可以建議有沒有辦法這個折算率可以把它取消讓警察的縫點警察非常辛苦而且警察現在很多的他的教育水平也非常的高是不是可以跟公務人員比照一樣的縫點那第二個就是職等的問題現在基層警員的職等三到五職等是不是可以提升到六職等然後可以不用經過考試來請部長署長回答
transcript.whisperx[79].start 3383.843
transcript.whisperx[79].end 3411.15
transcript.whisperx[79].text 謝謝張委員的關心我想對於警察福利的爭取大概就是不分黨派大家都會極力爭取因為警員真的是非常的辛苦我想應該都是警消都非常辛苦但是委員剛所提到就是說要修改這個縫點等等這些就是我們跟一般的公務人員不太一樣而且在修改的過程當中我們確實會需要跟這個包括考試院在內或是人事行政總署
transcript.whisperx[80].start 3412.33
transcript.whisperx[80].end 3438.849
transcript.whisperx[80].text 做一下專案性的討論那至於這奉典上面怎麼比序會比較好我是不是請那個署長跟你回應一下非常謝謝委員的支持檢查的這個待遇跟這個整個的升遷那對於警察人員的這個福利跟一般公園確實是不一樣的包括我們的奉典的算法跟我們是警佐警政跟警監那跟一般的檢監委的一般公園是不同的那對於這個對
transcript.whisperx[81].start 3441.511
transcript.whisperx[81].end 3466.75
transcript.whisperx[81].text 那這個部分我們想就是我們會來做跟相關單位來做一個一個研議就好像我們對於我們的景形加息我們也經過努力之後終於在去年行政院有做核定那至於這一個等階的這個部分那我們也會來做一個跟相關單位來做一個研議謝謝委員給我們時間我們對於奉典跟這個等階主的等階我們來研議來做對遠景
transcript.whisperx[82].start 3469.512
transcript.whisperx[82].end 3493.198
transcript.whisperx[82].text 做最好的一個幫助請問署長大概要多久的時間我們可能要跟考試員跟人總來做一個協調那是不是給我們三個月的時間來做這樣的一個溝通因為這個是對制度性架構比較大的一個方向那我們來做因為有一些是整個全國是橫平性的一個問題
transcript.whisperx[83].start 3494.238
transcript.whisperx[83].end 3512.498
transcript.whisperx[83].text 那我們朝這兩方向來做一個原因好 謝謝署長為什麼我要這樣提因為現在很多畢業生他們都說如果他的薪水跟警察差不多那不如他去做工程師因為工程師也輪班制嘛那還沒有像警察一樣 消防一樣這麼有危險性所以要拜託署長多多幫忙謝謝 謝委員
transcript.whisperx[84].start 3513.559
transcript.whisperx[84].end 3528.999
transcript.whisperx[84].text 那再來我想要請教就是其實在上個會期我想要請教就是光電這個要裝置在屋頂板的這個問題啊其實上個會期我就請教這個部長跟國土組之間的吳署長就是說這個問題點就是說
transcript.whisperx[85].start 3531.261
transcript.whisperx[85].end 3547.063
transcript.whisperx[85].text 我們本來這樣子現在的草案喔已經本來是說我們還要再繼續研議喔然後現在已經變成說今年8月1號要上路就是整個草案的內容就是要強制我們現在所有的住宅不管是一般住宅商辦
transcript.whisperx[86].start 3548.044
transcript.whisperx[86].end 3571.027
transcript.whisperx[86].text 工廠等等的這個建築面積在1000平方公尺以上要強制設置光電板那這個本來是說我記得我第一次問部長的時候部長是說本來是只有在工廠跟工有建物可是不知道為什麼感覺起來好像文內政部被經濟部綁架現在8月1號就要草草上路所以可是我想要請問部長跟署長的部分
transcript.whisperx[87].start 3571.747
transcript.whisperx[87].end 3594.807
transcript.whisperx[87].text 現在這樣子這麼大的一個變化要要求所有的建物一般的建物包含是住宅那本席在這邊也屢次提到說這樣會影響到尤其是都會區的這個問題不管是住宅的安全以及未來很多的維護等等的狀況那我想要請教內政部的確是要8月1號就要上路嗎
transcript.whisperx[88].start 3597.137
transcript.whisperx[88].end 3625.624
transcript.whisperx[88].text 來 請說報告委員確實沒有錯我們跟那個經濟部一起會嫌的時候是依照再生能源條例在115年8月1號開始施行但是我們在施行的時候是對於新建或者是改建的面積的時候做設置那委員一再都是很關心說那個建築尤其是屋頂上面如果有安全上的顧慮的話怎麼樣處理那相關的部分我是不是請這個蔡署長跟您簡單回覆好 謝謝署長
transcript.whisperx[89].start 3627.348
transcript.whisperx[89].end 3652.008
transcript.whisperx[89].text 市長確定這個要8月1號上路嗎因為本席這邊要特別提到先在下一頁我要講一下世界各國的案例其實在亞洲國家現在只有日本在東京有在稍微示範一下而且他是要求大型建築業者來去做實行那如果這些大型建築業者他們沒有做其實是沒有相關的罰則所以我表的你8月1號上路的時候如果有些這個
transcript.whisperx[90].start 3654.169
transcript.whisperx[90].end 3681.331
transcript.whisperx[90].text 有些案子他沒有辦法裝 你們未來是不會發建造還是怎麼樣 所以是不是可以請你現在說明一下跟委員報告 其實每一個建築物大概會有一些不一樣的太陽那我們現在在這個北部的地區有召開過一次說明會那中南部也會繼續召開那這裡面還是會有一些比較權宜性的 譬如說光照程度或者是結構有問題的那這些再報給建築主管機關以及能源主管機關這邊來核定
transcript.whisperx[91].start 3682.622
transcript.whisperx[91].end 3709.996
transcript.whisperx[91].text 有特殊狀況還有他的權益處理方式那原則上還是8月1號要實施那我想要請教一下因為你開了說明會以後可不可以把說明會的資料提給我一下那就是說到底產業界跟我們民眾有沒有什麼樣相關的反饋或回應那你們是不是本席在這邊當然要建議啊就像在日本整個亞洲國家因為現在這個制度我們是學習歐洲的可是在亞洲國家其實現在沒有任何國家是整個國家全體一致適用的
transcript.whisperx[92].start 3710.296
transcript.whisperx[92].end 3730.093
transcript.whisperx[92].text 那台灣這樣子來做適不適合亞洲的環境跟亞洲這麼密集的建築的一個問題以及未來的民怨等等因為本席在這邊已經跟內政部拜託跟國土組拜託很多次了所以拜託還是要這個來瞭解一下不要政策實行下去未來很大的影響最後一個問題我想請教部長
transcript.whisperx[93].start 3731.294
transcript.whisperx[93].end 3749.059
transcript.whisperx[93].text 部長最近我相信很多這個民眾都在關心台灣少子化的國安危機因為這個在去年生育率大概是10萬左右今年大概預計才9萬那今年2月其實新聞已經有出來的我們的生育的人口數好像才這個
transcript.whisperx[94].start 3751.079
transcript.whisperx[94].end 3768.121
transcript.whisperx[94].text 六千多人一個月才六千多人所以這個生意率非常的少那請問在內政部而言你們有沒有什麼來解決這個少子化的一些方案跟對策報告委員少子化是跨部會包括從國發會衛福部或是教育部都要一起來處理
transcript.whisperx[95].start 3769.262
transcript.whisperx[95].end 3785.958
transcript.whisperx[95].text 那跟那個我們的這個內政部相關的部分都是大概在社會住宅的提供那社會住宅提供的部分呢在上個會期的時候呢我們的這個住宅法修正包括我們把婚育宅的比例提高或者他撫養未成年的子女的從12歲提高到18歲
transcript.whisperx[96].start 3787.159
transcript.whisperx[96].end 3815.652
transcript.whisperx[96].text 那這個部分我們都要按照委員所通過的這個法律上面來做施行未來我們會提供將近有1000戶以上的這個婚育宅那如果需要配合就是現在興建的社會住宅不夠的話那包租代管業者我們也會從這個方向來加強也就是說我們希望能夠提供給有婚育需求的這些年輕人更多社會住宅上面的一個制度性上的協助好 謝謝表達 希望內政部繼續加油 謝謝好 謝謝張志文委員
transcript.whisperx[97].start 3818.359
transcript.whisperx[97].end 3835.899
transcript.whisperx[97].text 接下來我們請王宏威委員發言謝謝好 謝謝主席我請劉部長還有我們地政司司長有請劉部長還有林司長
transcript.whisperx[98].start 3841.921
transcript.whisperx[98].end 3863.946
transcript.whisperx[98].text 請問一下住宅三法現在院都還沒有預告我想請問一下你們的草案什麼時候會提出來住宅三法 報告委員我們上個會期住宅法已經修正通過一部分的條文請問一下我在這邊特別關心的就是租賃住宅的這個管理條例
transcript.whisperx[99].start 3865.146
transcript.whisperx[99].end 3889.134
transcript.whisperx[99].text 因為我要特別說的是大家在談這個所謂的居住正義那最近我們在看這個整個的房租雖然這個主計處他最新公布的有關於CBI房租的租金的漲幅現在看起來比較趨於緩和但是但是長期以來在我們都會區七都來說這個租金的漲幅
transcript.whisperx[100].start 3892.955
transcript.whisperx[100].end 3909.452
transcript.whisperx[100].text 一年的租金漲幅多的話都可以達到8%以上像我們台北市8%以上那也有去統計就是我們的薪資的漲幅比如說過去五年來薪資的漲幅大概只有2%左右但是
transcript.whisperx[101].start 3910.573
transcript.whisperx[101].end 3937.761
transcript.whisperx[101].text 租金的漲幅可以到10%或20%所以顯然是不完全不平衡的那我想請問一下我們現在所在推動的租賃住宅的這個管理條例裡面有關於就是說要如何的去讓租金能夠動漲然後讓這個整個的租約能夠穩定我想這事實上是在整個的這個房屋市場大家在高度關注的
transcript.whisperx[102].start 3939.241
transcript.whisperx[102].end 3956.73
transcript.whisperx[102].text 所以我想請問若部長搞不清楚的話是不是可以請司長回答我就是你們這個就是住在三法裡面特別是在租金租賃市場的部分你們什麼時候預告然後這個方向是不是已經確定了
transcript.whisperx[103].start 3957.881
transcript.whisperx[103].end 3977.96
transcript.whisperx[103].text 有關租賃條例的部分 當然我們都會關心租客自己本身的權益剛剛委員所提到的部分 現在都還沒確定但是我們研議的方向 我請市長跟您報告一下我關心的是第一個 是不是確定要保限制三年的租金不得上漲
transcript.whisperx[104].start 3979.979
transcript.whisperx[104].end 4008.787
transcript.whisperx[104].text 跟委員報告一下我們租賃條例之前提出來規劃方向第一個是保障雙方的一個租房客房東的權益包含面對不良的房東房客如何處理時間有限那個部分沒有問題我們把它縮小那第二個部分有關於租期跟租金漲幅的限制的部分我們之前有開公聽會這個方向確定了嗎這個部分的話大家的意見比較分歧所以我們現在也在做一個研議當中所以這個部分還沒有
transcript.whisperx[105].start 4009.207
transcript.whisperx[105].end 4012.029
transcript.whisperx[105].text 完全的確定我要特別說的就是這個利益良善希望能夠讓租金動漲但是我們比較擔心的就如同比如說你一杯咖啡一杯咖啡我要規定它三年你不能漲價
transcript.whisperx[106].start 4026.678
transcript.whisperx[106].end 4043.153
transcript.whisperx[106].text 但是呢這個時候呢我非常有可能你規定我三年不能漲價那麼我現在賣的時候我就先漲價所以可能造成整個的租金第一波就開始整個的上漲所以這個是非常非常特別要注意的所以到目前為止你們還在研議還沒有完全確定我要特別說的部長我希望我們在談這個居住正義因為我們的社宅現在的這個數量
transcript.whisperx[107].start 4054.563
transcript.whisperx[107].end 4066.319
transcript.whisperx[107].text 其實已經跳票了原來要從13萬戶變成4萬戶但是呢有關於租金的負擔率租金負擔率我希望內政部要有一個目標以我們雙北來講
transcript.whisperx[108].start 4069.804
transcript.whisperx[108].end 4092.221
transcript.whisperx[108].text 如果你在這個整個的租金市場很多人都講我今天付租金大概是我薪資的一半以上這事實上對於大部分的上班族民眾他的負擔是非常非常的重那我們合理的租金應該把他起碼起碼把他加到三成以下能不能用這個目標來往前面進行否則的話我們談了十多年的居住正義談到現在
transcript.whisperx[109].start 4099.907
transcript.whisperx[109].end 4119.143
transcript.whisperx[109].text 租金依然高 房價依然偏高居住綜藝永遠沒有辦法實現報告委員 有關於社宅的部分中央跟地方合在一起的數目之中央是負擔三分之二然後地方負擔三分之一那我們還是朝著這方面來前進那剛剛委員所關心的就是說租客自己本身目前都是滾動性在檢討那個剛剛民主票叫滾動性檢討 再來
transcript.whisperx[110].start 4128.631
transcript.whisperx[110].end 4151.483
transcript.whisperx[110].text 租金負擔率租金負擔率剛剛你所提到租金負擔的比例的部分你所提到就是有關於寫在文字上面跟沒有寫在文字上面隱藏性的租金到底在什麼地方其實我們的相關單位也在查查就是包括它到底是不是水電費或是其他的部分把它弄出來之後公佈於是所以我希望你們因為我待會還有一個很重要的題目我希望你們把這個租金負擔率把它
transcript.whisperx[111].start 4158.366
transcript.whisperx[111].end 4169.732
transcript.whisperx[111].text 至少在初階要把他定位在在我們的這個薪資的三成以下好不好 因為這才是比較稍微合理的部分但是還要看他的地點啦沒有錯沒有錯啊 可是我們就要努力啊來來來 時間暫停一下我請一下我們移民署的署長好嗎
transcript.whisperx[112].start 4188.438
transcript.whisperx[112].end 4211.206
transcript.whisperx[112].text 還是請部長往前因為這個是涉及政策部長這個事實上我在之前的會期我就有提出來因為我們現在大家都說軍警消事實上裡面也包含海巡還有我們的移民署移民署過去很多同仁是從警察分出來的這個應該您很清楚
transcript.whisperx[113].start 4211.866
transcript.whisperx[113].end 4228.927
transcript.whisperx[113].text 但是我們現在的這個照護方案就是比較軍人的照護方案不管是他的就醫或者他有沒有這個優惠方案在整個的軍警警消海巡裡面這個的方案獨獨遺漏移民署的同仁
transcript.whisperx[114].start 4229.688
transcript.whisperx[114].end 4248.675
transcript.whisperx[114].text 我認為這非常不合理第一個移民署的同仁我過去有講過去他們很多都是警方出身的那另外就是移民署的同仁他在第一線執勤的時候他跟警消很多也同樣具有危險性
transcript.whisperx[115].start 4249.836
transcript.whisperx[115].end 4262.829
transcript.whisperx[115].text 過去我們移民署頭人其實受傷的啦或者在第一線執勤的時候被攻擊所在多有多有聽聞所以部長我為什麼要請你來答覆
transcript.whisperx[116].start 4264.517
transcript.whisperx[116].end 4284.08
transcript.whisperx[116].text 我們內政部可不可以把這個照護方案獨立移民署的部分把這個洞給補起來讓我們移民署的同仁不會變成好像你的次等同仁在照護方案的時候能夠一律的能夠一視同仁
transcript.whisperx[117].start 4284.4
transcript.whisperx[117].end 4298.617
transcript.whisperx[117].text 可不可以謝謝王委員的關心我在過年期間也到專請隊去確實有這樣的現象現在我們的裝備跟配備我們希望可以比照警政署同時您剛所提到的照顧方案的部分我們也希望可以比照現在這個在爭取當中
transcript.whisperx[118].start 4300.399
transcript.whisperx[118].end 4326.608
transcript.whisperx[118].text 好大概什麼時候給我們一點時間來協調因為不會是只有內政部我們還要協調其他的相關單位譬如說像人總他們要同意這樣子的一個方法是不是可以一起試用但是他們的心情程度我們都非常清楚我知道那可不可以今年上半年之前把這整個事情定案可以吧報告員定案我不敢講但是朝著這個方向我們來協調一定會告訴我們現在的協調方向
transcript.whisperx[119].start 4327.108
transcript.whisperx[119].end 4350.004
transcript.whisperx[119].text 好 所以你這邊就是答應我嘛 就是未來一面的討論我有講到我會來爭取 但是因為不一定是由我們來單獨決定所以我們要 必須要有點時間 讓人家有這個協調的空間但是我相信內政部去爭取的話 對於民主同仁來講 他們可以感受到這份的關心和溫暖然後我也希望能夠在今年上半年 能夠把這個案子定案
transcript.whisperx[120].start 4350.885
transcript.whisperx[120].end 4374.737
transcript.whisperx[120].text 因為剛才特別提到就是我們現在包含我們首都的這個警消的加擠這部分我是肯定的不是首都是全台灣都有當然因為我是台北市吧我們長期在對不起我們長期在爭取的是首都加擠當然你是全台灣加擠我們也很肯定但是我覺得就是像這個照覆方案能夠不要遺漏就不要遺漏好不好好謝謝委員好謝謝
transcript.whisperx[121].start 4379.912
transcript.whisperx[121].end 4390.702
transcript.whisperx[121].text 接下來我們請王美惠委員主席謝謝主席我們現在內政部長來請劉部長
transcript.whisperx[122].start 4400.243
transcript.whisperx[122].end 4422.849
transcript.whisperx[122].text 法定人數不足 平安平安在今年我們立法院有通過一個因應國際情勢的強化的經濟社會和民生國安內省的特別條例嘛我們剛才說叫做國安內省特別預算
transcript.whisperx[123].start 4424.279
transcript.whisperx[123].end 4432.542
transcript.whisperx[123].text 在這個過程當中,我們內政部有編了一個六十二億塊錢是要用來強化國土防衛再來又編一個五十億
transcript.whisperx[124].start 4439.102
transcript.whisperx[124].end 4459.216
transcript.whisperx[124].text 是要用在改善我們的老宅的安全的問題所以這叫做老宅延遂的計畫在這個過程當中我相信普通跟所有的人跟本市的一樣都覺得這是非常好的進程
transcript.whisperx[125].start 4465.486
transcript.whisperx[125].end 4482.316
transcript.whisperx[125].text 但是白色,盲啊盲,淡啊淡,覺得不知道當時我們還用得著在這個過程當中,我也對普通這個政策在必戰
transcript.whisperx[126].start 4483.837
transcript.whisperx[126].end 4493.832
transcript.whisperx[126].text 但是在這個過程中,我相信普通人知道,在5年內,2年到27年,有辦一場申請會,我相信裡面也有精粹的內容
transcript.whisperx[127].start 4500.561
transcript.whisperx[127].end 4521.538
transcript.whisperx[127].text 家裡吃得好,家裡管得好,婚姻也好,都想說要怎麼去清除他的權利,要怎麼去改善他的老宅因為家裡,我們全國來說,你知道全國的30年以上,有幾百棟嗎?
transcript.whisperx[128].start 4528.541
transcript.whisperx[128].end 4531.903
transcript.whisperx[128].text 幾百萬太少了五百多五百萬左右有五百萬左右啦在這個過程中因為我們身為一個國會的委員我們是要提供他的訴求也要全國的訴求都要說
transcript.whisperx[129].start 4556.496
transcript.whisperx[129].end 4583.035
transcript.whisperx[129].text 莫丁你覺得假期期,假期期有三十六年以上的有幾度?這可能要拜託委員跟我說,但是我再跟委員報告我們這邊,本來五十億的特別醫生是針對三十年以上四年跟六年會集合住宅,跟六年以下會透天住宅
transcript.whisperx[130].start 4584.135
transcript.whisperx[130].end 4591.261
transcript.whisperx[130].text 很主持這個方案在3月5號現在還是3月行政院院會已經通過我們預計在5月的時候就會推出來這段期間我們其實跟縣市地方政府正在加強溝通因為要申請老宅延壽是很專業的所以我們希望每一個縣市政府要有一個專案的輔導團隊
transcript.whisperx[131].start 4611.497
transcript.whisperx[131].end 4617.381
transcript.whisperx[131].text 那這個專案輔導團隊呢在內政部這邊已經委託出去但是有些縣市政府他的專案輔導團隊譬如說我們要找營造或者是建設或者是住都或者是金融管理的這些形成一個團隊呢還沒有完全完成那我們未來會盡量請他們加快也就是委員去參加的時候同時去介紹都算是一個建築師
transcript.whisperx[132].start 4636.555
transcript.whisperx[132].end 4651.127
transcript.whisperx[132].text 他才知道說電視什麼東西,你不可以用眼睛看,你要很專業那這個呢,就是縣市地方政府會很快把它通過之後我們馬上就會到每個縣市,希望他5月就可以來開始申請補充,在這裡我來補充一下,加2次有7萬4千棟的30年以上的老房子
transcript.whisperx[133].start 4661.736
transcript.whisperx[133].end 4671.44
transcript.whisperx[133].text 在這個過程當中 我覺得補充這個剛才蘇策委員說他要建築他的新北市那麼多的建築帶一個他本身的故鄉所需要的我相信每一個委員都不會去反對所以在這個過程補充 你知道嗎這個50億對我們來說
transcript.whisperx[134].start 4690.06
transcript.whisperx[134].end 4691.783
transcript.whisperx[134].text 完完全全不夠啊尤其在正當有開設平衛有位官司
transcript.whisperx[135].start 4700.663
transcript.whisperx[135].end 4703.084
transcript.whisperx[135].text 的政府已經準備好了 但是有的行政委員會 行政委員會不知道但是對地 平常時的管治長很認真 要看中央的政策 要清楚的時候
transcript.whisperx[136].start 4722.193
transcript.whisperx[136].end 4726.034
transcript.whisperx[136].text 但是我們沒有認真的人,這樣也不對因為像嘉義市,嘉義市他就知道說這要怎麼建造,要怎麼做是怎麼分析,會再補充一次因為有的不太了解,有的想說應該要我家三十年,要我去台北命要我叫什麼人來讓我鑑定
transcript.whisperx[137].start 4752.063
transcript.whisperx[137].end 4757.365
transcript.whisperx[137].text 因為說實在的 部長 我們等於這裡的50億是沒有幾千噸的我們這種的不是以入進展的是要把這些金額流出 金處理好 如果有足夠的公益
transcript.whisperx[138].start 4775.316
transcript.whisperx[138].end 4782.319
transcript.whisperx[138].text 可以當作電腿,我們是在這時候才會說補助於一棟九百六十萬耶,沒錯,我剛才也聽到了你的解說,你說的因為很多輩子,覺得說看得到吃不得的,會選擇
transcript.whisperx[139].start 4800.538
transcript.whisperx[139].end 4806.503
transcript.whisperx[139].text 因為像今天已經說明了百姓都知道為什麼他就是要當時要去治療給他們要補是要去工作 要給利用 還是要給貸款是不是不知道
transcript.whisperx[140].start 4820.894
transcript.whisperx[140].end 4835.377
transcript.whisperx[140].text 所以說保證 本席跟你說的就是你這種政策 很好 但是不可以讓百姓覺得說我會中 吃不中這樣就不好啊來 市長 郭敦市長你有沒有要補充什麼 謝謝委員
transcript.whisperx[141].start 4845.465
transcript.whisperx[141].end 4854.495
transcript.whisperx[141].text 其實每個縣市政府 我們從去年開始招募沒有啦 我剛才跟你說的問題 當時可以讓他們使用啦剛才補充意見說五位 是要提供給什麼人我給你回答啦
transcript.whisperx[142].start 4863.285
transcript.whisperx[142].end 4870.81
transcript.whisperx[142].text 剛才我講到五位要開始申請 每一個縣市政府所基建的地方都已經出了加以持就是它的督發局但是我剛才講到督發局沒有辦法去輔導所以我們要求所有的縣市政府的輔導團隊事業隊陣型要成立
transcript.whisperx[143].start 4884.56
transcript.whisperx[143].end 4891.224
transcript.whisperx[143].text 年後拜託人家輔導團隊跟東京政府去某一個地方再跟社民會說清楚這樣我們這個廠的資料才不會有重疊年後委員會說得對 總共五十億五十億是立法院給鄉鎮的餘生不是說我們欠太多你就是給我們餘生三年後 如果這個成效不錯當然我們會繼續申請希望大院可以支持
transcript.whisperx[144].start 4914.76
transcript.whisperx[144].end 4923.707
transcript.whisperx[144].text 我就是跟補廠說,就是大家都很漂亮的,但是現在我最擔心的就是有的被子都後悔了就是說,如果我們有跟主管單位有協議,我們就有辦法去申請如果跟主管單位沒有協議,我們就賠不了啦所以這種的,不要有這個聲音,所以我願望
transcript.whisperx[145].start 4941.261
transcript.whisperx[145].end 4950.784
transcript.whisperx[145].text 我們的錢是開的 覺得應該申請的只要幾個禮拜的費用會申請 沒錯跟金正恩市長最近有發生一件問題因為我這陣子的時間已經到了 覺得不要人擔心太多時間 跟我的資料給你一星期後
transcript.whisperx[146].start 4968.916
transcript.whisperx[146].end 4969.336
transcript.whisperx[146].text 謝謝主席,我們先請部長來請劉部長
transcript.whisperx[147].start 4997.288
transcript.whisperx[147].end 5017.118
transcript.whisperx[147].text 好部長好我這邊也要先來再次爭取啦因為其實去年十月我們幾個民進黨的委員在內政委員會裡面都有共同提了一個提案就是這個深夜的圍牢津貼當時是除了這個駐外的之外我們也認為被勤的同仁也同樣辛苦所以也應該要納入這個範圍
transcript.whisperx[148].start 5019.099
transcript.whisperx[148].end 5040.416
transcript.whisperx[148].text 那當時其實署長有說有回去跟人總溝通跟各縣市溝通那是不是請部長署長跟我們說明一下目前溝通的進度當然我要先肯定啦現在錦霄的這個勤務佳績都已經正式核定了嘛那其實是一個很棒的開始那我認為接下來其實還有我們可以做的更多的地方
transcript.whisperx[149].start 5041.437
transcript.whisperx[149].end 5058.877
transcript.whisperx[149].text 對 謝謝委員 就是我們在上個會期對於生育未來家屬對於值班或備請就是駐地內的來做一個提升那我們部裡面的這個整個的這個政策是同意的所以我們在去年的11月就報到
transcript.whisperx[150].start 5059.958
transcript.whisperx[150].end 5080.663
transcript.whisperx[150].text 行政院去了那這個案就是在現在人總在1月19號那人總我們也去做溝通那目前溝通的狀況我們當然就是部裡面的這幾個單位他認為各單位的這個性質也不太相同那另外他這個人總也認為說這個海巡也要納進來所以人總在1月19號還給各相當各
transcript.whisperx[151].start 5086.825
transcript.whisperx[151].end 5098.437
transcript.whisperx[151].text 這個相關單位在這個相關的這個資料在做確診研究當中好所以其實目前算是有一點進展有進展有進展好太好了所以人種其實大致上方向也是同意的
transcript.whisperx[152].start 5099.333
transcript.whisperx[152].end 5116.84
transcript.whisperx[152].text 人總現在還在跟各單位在做了解全盤的這個整個的一個狀況的一個資料的一個了解那現在除了我們這個單位之外海巡也要比較來做辦理所以整個案子還在嚴厲當中
transcript.whisperx[153].start 5118.2
transcript.whisperx[153].end 5142.726
transcript.whisperx[153].text 好那我在這邊期待好消息啦好謝謝我們署長持續跟人總溝通當然如果未來海巡演納進來是最好是好謝謝署長那再來請教部長喔因為其實今天自由時報的頭版就是說我們要來補助地方的防災協作中心那包括這個全台有365處的防災協作中心每一處可以補助110萬
transcript.whisperx[154].start 5144.326
transcript.whisperx[154].end 5162.642
transcript.whisperx[154].text 那這個村裡的相關的村裡處的空間呢可以補助15萬那可不可以說明一下這樣的補助的內容是什麼因為我認為這個國土韌性當然很重要那補助的內容讓我們地方的村里長第一時間知道我相信地方的村里長都會馬上來申請補助讓自己的這個空間變成是最好的防災空間
transcript.whisperx[155].start 5168.527
transcript.whisperx[155].end 5185.041
transcript.whisperx[155].text 是謝謝委員長期以來對於消防尤其是我們這個所謂的防災的部分非常的關心我們的主要的目的就是希望說未來的災防的救災救護的工作不是集中在這個縣市或者是中央政府而是地方都要一起
transcript.whisperx[156].start 5185.581
transcript.whisperx[156].end 5200.553
transcript.whisperx[156].text 所以我們提出了這個防災協作中心是要下放到鄉鎮公所或者是村裡面那這個部分我們在去年的時候消防署已經跟各地的消防局到各地的這個村裡做一下說明跟溝通也就是我們補助的110萬已經沒有太大的問題那包括偏鄉地區都算在內那同時15萬的部分也是一樣我們碰到大型碰到天災的時候呢村裡辦公室或是鄉鎮公所可以馬上來運用
transcript.whisperx[157].start 5213.704
transcript.whisperx[157].end 5226.373
transcript.whisperx[157].text 省得要再調派這些所謂的要支援救災救護的設施會有時間上的壓力那現在執行的情形我請蕭署長跟您做個簡單的說明好 謝謝也拜託署長說明一下這個110萬是用在哪裡這15萬用在哪裡
transcript.whisperx[158].start 5228.755
transcript.whisperx[158].end 5252.98
transcript.whisperx[158].text 好 感謝委員關心很感謝立法院去年通過特別預算所以每個鄉鎮市區會有110萬每個村裡會有25萬的經費那這個部分我們也分別訂定防災協助中心的維生設備的計畫還有補助原則跟必要的項目這個部分都已經協調確認過
transcript.whisperx[159].start 5254.58
transcript.whisperx[159].end 5265.985
transcript.whisperx[159].text 那在協助中心的部分呢會在今年會執行完畢那村裡的部分會在明年來執行就分兩年度來執行所以我想知道的是可不可以舉例一些什麼樣的項目什麼樣的設施什麼樣的空間譬如說照明燈廣播設備還有我們那個電源的裝備設備
transcript.whisperx[160].start 5275.088
transcript.whisperx[160].end 5298.116
transcript.whisperx[160].text 這些設備都是我們在考慮使用的地方當然濾水設備也是我們考慮的我們已經把這個清車列出來所以這樣的這個清單你們都有列出來我們列出來也都有給村里長我們會跟已經跟縣市協調好縣市跟鄉鄰鄉鎮市公所跟村里長這個清單要麻煩清楚然後也讓地方是社區的第一線都是知道的
transcript.whisperx[161].start 5298.536
transcript.whisperx[161].end 5308.986
transcript.whisperx[161].text 好謝謝署長因為時間的關係那我這邊有一個還有兩分鐘太好了那我最後一樣我請教一下那個警政署好謝謝
transcript.whisperx[162].start 5311.257
transcript.whisperx[162].end 5328.388
transcript.whisperx[162].text 部長也可以先請回座最後我要來請教一下最近一個盜刷的案子因為前幾天有一個盜刷的報導他是說這個竊盜集團專門鎖定人潮密集的地方然後他會偷走民眾的皮夾之後呢直接拿出他們在海外買回來的刷卡機現場實體刷卡
transcript.whisperx[163].start 5330.589
transcript.whisperx[163].end 5358.639
transcript.whisperx[163].text 那刷出來之後因為它是實體卡的交易所以銀行端那邊比較難第一時間察覺所以倒刷是常常成功的那有一個民眾他就是在北捷被偷了錢包之後半小時內信用卡的顯示的地址是在沙烏地阿拉伯實體過卡然後就瞬間被刷了十幾萬那這種其實這樣的倒刷的形態也逐漸出現我在這邊想要建議因為他們這種刷卡機其實就是直接從海外買回來嘛
transcript.whisperx[164].start 5359.699
transcript.whisperx[164].end 5377.608
transcript.whisperx[164].text 那最近其實經濟部有提出兩個必須要納入進口管理就是網路電話的交換機跟網路電話的閘道機他們必須要納入進口管理就是NCC那邊要先審查那我也認為海外買進來的這種刷卡機是不是也應該納入管理這邊建議署長
transcript.whisperx[165].start 5379.349
transcript.whisperx[165].end 5398.763
transcript.whisperx[165].text 我想這次對於這個倒刷這次境外的這個倒刷應該有透過這個實體的這個工具實體卡沒錯那這個部分我們還在追查當中那我個人的建議就是對於那個有關電外的閘道這個已經做管制了那這個倒刷的這個設備當然也是要做管制也能夠杜絕這樣的類似海外的這樣的一個倒刷的狀況
transcript.whisperx[166].start 5407.729
transcript.whisperx[166].end 5417.174
transcript.whisperx[166].text 那另外我們現在普遍發現到的倒刷那當然我要特別在這種場合就是要跟全國民眾做一個就是這個要讓你提供卡號還有這些這個這個這個就是還有這些那個
transcript.whisperx[167].start 5429.773
transcript.whisperx[167].end 5437.726
transcript.whisperx[167].text 卡號之外還有這些相關的這個號碼就是驗證號碼這個都不能提供這個就是國內倒刷最基本的一個狀況這個其實倒刷其實也有這樣的一個依據你要把你的這個
transcript.whisperx[168].start 5445.6
transcript.whisperx[168].end 5471.45
transcript.whisperx[168].text 要你的這個存者你的這個信用卡的這個東西的卡號還有驗證碼相關的使用期限的這個時間提供給別人就等於就是說你把錢提供給別人要去做提領就等於是你自己要提領所以這個一定要特別利用這個場合來做一個宣導所以我在這邊針對這種新型態的這種盜刷犯罪我是具體建議署長你們就回去跟關務署討論就像經濟部他們管制網路電話交換機那樣
transcript.whisperx[169].start 5475.311
transcript.whisperx[169].end 5483.54
transcript.whisperx[169].text 直接大陸進口管理沒問題沒問題 這個我們來協助處理好 謝謝來 謝謝黃婕委員接下來我們請張宏祿委員進行詢答謝謝來 我先請部長來 有請劉部長
transcript.whisperx[170].start 5504.495
transcript.whisperx[170].end 5520.043
transcript.whisperx[170].text 部長我想請教一下我們內政部現在對比如說服務30年以上的里長然後全國基優的里長這些是不是從現在開始就沒有公開的頒獎公開的給他們一個一個儀式這樣子給他們我們今年並沒有辦
transcript.whisperx[171].start 5530.788
transcript.whisperx[171].end 5531.734
transcript.whisperx[171].text 為什麼?你們的考量是什麼?
transcript.whisperx[172].start 5535.017
transcript.whisperx[172].end 5563.641
transcript.whisperx[172].text 因為去年修了這個民態自己條例之後有規定那個基歐的村里長由這個內政部訂立辦法相關的辦法裡面已經有規定這些村里長由地方來做表揚所以這個相關的一個機制已經存在但他是全國的是你們內政部認可的是對不對是對啊那為什麼那你既然內政部認可的那你為什麼沒有公開表揚
transcript.whisperx[173].start 5566.197
transcript.whisperx[173].end 5593.345
transcript.whisperx[173].text 因為現在其實有其他相關的一個規定什麼規定哪一個規定說不頒獎了不公開表揚了一般來講這是有地方政府多數的地方政府也有表揚地方政府本來就有了嘛本來就是相公署也有縣市也有嘛然後最高是內政部嘛他得到是內政部最高的嘛
transcript.whisperx[174].start 5594.165
transcript.whisperx[174].end 5620.183
transcript.whisperx[174].text 對不對我只問你啊你們為什麼不公開表揚哪一個法令說現在開始不公開表揚了其實表揚不免法律的一個對啊所以你剛剛跟我講什麼那我就覺得很奇怪啊對我們新訂的一個不是啦你不要跟我繞圈子啦
transcript.whisperx[175].start 5621.631
transcript.whisperx[175].end 5645.924
transcript.whisperx[175].text 為什麼不表揚?其實你表揚花不了你多少時間也沒有花多少錢這個隊有了服務30年了好不容易他拚到得到全國內政部最高的認可你們就兩個小時的時間給他一輩子的榮耀對不對你們是不是要思考一下要不要繼續
transcript.whisperx[176].start 5647.689
transcript.whisperx[176].end 5671.678
transcript.whisperx[176].text 這個我們可以來做研議做研議齁?這個很簡單,兩個禮拜之後你就可以研議好了吧?因為也涉及到相關地方自治還有...兩個禮拜的時間夠不夠啦?是,可以可以嘛,那這樣就好了嘛,好不好?不然你先坐啦,你先回去坐那再來,那個消防署長
transcript.whisperx[177].start 5675.499
transcript.whisperx[177].end 5690.453
transcript.whisperx[177].text 我們今天看到這個報紙或什麼剛有委員問那我們全社會安全任性我想直接請教一下村里長的部分你們有哪些物資是在村里長那邊
transcript.whisperx[178].start 5692.177
transcript.whisperx[178].end 5719.852
transcript.whisperx[178].text 感謝委員垂詢我們小紅樹裡面也有這方面的敘述那我們在這...找去書也是你們笑我才笑太緊張太緊張那我們裡面有包括儲物、資訊、個人防護裝備、避難射龍設備跟濾水那個我們都看到啦我們未來要到村里長的哪些物資明確的有哪些
transcript.whisperx[179].start 5720.922
transcript.whisperx[179].end 5733.932
transcript.whisperx[179].text 我們有列出清澈,會後再提供給委員你現在就不能簡單舉例喔對,比如說哨子、反觀背心、頭燈、手套還有避難帳篷、綠色設備還有我們比如說儲能電源這些都是避難的帳篷、儲能電源,對嘛這些嘛這些體積大不大
transcript.whisperx[180].start 5744.801
transcript.whisperx[180].end 5758.662
transcript.whisperx[180].text 所以我們必須要協調有一個空間把這些物資放在那邊然後真的緊急使用的時候可以來用我很支持這個韌性這個機構我非常的支持但是你要放在村里長那邊
transcript.whisperx[181].start 5760.084
transcript.whisperx[181].end 5782.539
transcript.whisperx[181].text 不見得放在村裡我們會找一個儲存場所哪個儲存場所?幫他找嗎?還是他自己去找?應該是來協調啦就什麼地方可以讓物資可以緊急在使用的時候可以用得到所以你現在是還沒協調好還是還不能夠這個保溫是明年的預算來執行明年的預算你今天補座就空了你今天是協助中心的設備這今年要執行我是要提醒你啊
transcript.whisperx[182].start 5790.365
transcript.whisperx[182].end 5808.623
transcript.whisperx[182].text 這個我完全都支持但你有些這些我跟你講全台灣有多少村裡沒有李明活動中心我們7748處沒有錯不是啦有多少沒有活動中心你知道嗎這個我不清楚
transcript.whisperx[183].start 5810.666
transcript.whisperx[183].end 5817.133
transcript.whisperx[183].text 你不知道嘛我跟你講啦以我們整個新北就以板橋來講126個里只有70個活動中心你還有很多沒有啦這些東西他要放在哪裡
transcript.whisperx[184].start 5831.309
transcript.whisperx[184].end 5858.734
transcript.whisperx[184].text 所以這個還在協調啦所以我們要跟村裡好好的溝通找到適當的宿舍那這些物資是我要跟署長你說的在一般非都市化的地方你要找這個地方比較容易啦可能廟啦可能誰家的這個比較容易放啦但在都會區的地方寸土寸金
transcript.whisperx[185].start 5860.194
transcript.whisperx[185].end 5875.384
transcript.whisperx[185].text 你要怎麼協調 你要去哪裡找因為我們這一次的編日預算每個村里是四五萬塊那四五萬塊我們在盤點說有哪些是必要的那這個部分再來確認說每個村里到底你愛什麼東西
transcript.whisperx[186].start 5876.525
transcript.whisperx[186].end 5902.093
transcript.whisperx[186].text 那要放在什麼地方可能有收納場所啦這些物資儲存場所都可以來放我也給我們一些時間我知道你現在講的就是一個理想就是你一個計畫那我現在聽你這樣子的回答可能你的細部啊你的還沒規劃到那吧對我們先從今年鄉鎮施工所會做那明年度是春禮七千多的春禮明年計畫來執行對啊
transcript.whisperx[187].start 5903.914
transcript.whisperx[187].end 5918.484
transcript.whisperx[187].text 你明年就要做了啊所以同步才執行來考慮我以我的經驗你要村里長這些有的很多地方尤其都會區他沒有地方放
transcript.whisperx[188].start 5919.344
transcript.whisperx[188].end 5934.676
transcript.whisperx[188].text 但沒有地方放我不是說不做喔我是說你要及早因應喔你要去處理喔他沒有活動中心的人叫他放在他家喔他絕對不會答應的啦對不對他絕對不會答應的嘛所以你應該去盤點有的
transcript.whisperx[189].start 5939.459
transcript.whisperx[189].end 5968.11
transcript.whisperx[189].text 郊區的他雖然沒有里民活動中心但他有社區活動中心對不對但那不是村里長可以去管轄的那不是他對不對這個很多東西我是要提醒你要儘早去盤點你不要到時候這筆錢然後買的東西下去結果變成到時候村里長跟你講說他沒有辦法他沒有怎樣我擔心的不是他沒有地方放
transcript.whisperx[190].start 5969.352
transcript.whisperx[190].end 5993.242
transcript.whisperx[190].text 你這些東西是不是所有是要列冊?要不要?當然要列冊啊對嘛 當然要列冊嘛啊到時候如果少了一樣的話哇 問題勒 麻煩囉對不對?是對啊 所以你們要及早去因應這個問題啦是好 謝謝委員關心好 謝謝委員好 謝謝張宏祿委員
transcript.whisperx[191].start 5998.091
transcript.whisperx[191].end 6023.268
transcript.whisperx[191].text 接下來我想要做一個說明基於立法院韓院長上個禮拜協商法律的結論我會尊重李貞秀女士上台發言但是行政院立場也表明得非常清楚我也尊重行政院不必回應這個會議謝謝接下來我們請李貞秀女士上台發言
transcript.whisperx[192].start 6040.583
transcript.whisperx[192].end 6062.456
transcript.whisperx[192].text 我再重申一次基於海運長上個禮拜對於法律協商的結論我們委員會尊重李貞秀女士上台發言但我們也尊重行政院目前所有的結論行政官員可以不必尋答而且可以不必提供資料 謝謝
transcript.whisperx[193].start 6064.218
transcript.whisperx[193].end 6085.263
transcript.whisperx[193].text 韓院長 請主席才是今天在內政委員會其實本來應該要討論民生議題顯然內政部的態度就是不關心民生只想做政治鬥爭民進黨政府根本不關心居住正義請主席做出公正才是如韓國瑜院長所指示尊重立法院已經就任的立法委員謝謝主席
transcript.whisperx[194].start 6087.622
transcript.whisperx[194].end 6106.04
transcript.whisperx[194].text 謝謝李政修女士,我還是尊重你的發言不好意思,那個主席時間請暫停,權宜問題不能佔用我的時間,謝謝來,請你繼續發言OK,對,那所以就是有請劉部長上台,謝謝我們尊重行政院,行政院的官員可以不用上台那時間繼續暫停,謝謝,我再等
transcript.whisperx[195].start 6116.297
transcript.whisperx[195].end 6144.913
transcript.whisperx[195].text 今天內政部代表行政部門來立法院備詢,內政部有義務要站上質詢,來接受質詢行政部門這樣的態度意義何在?是否藐視國會?請主席猜試我覺得行政立法互相尊重,所以說我們也尊重行政院,行政院官員可以不用上台所以所有的委員會也都會遇到,我們尊重李貞秀女士的發言
transcript.whisperx[196].start 6146.205
transcript.whisperx[196].end 6168.945
transcript.whisperx[196].text 其實台灣是法治國家,國人都在看,中華民國憲法還在這邊任何一個立法委員的資格,要請依循法律判決今天假設我質疑劉旭發女士,我質疑她貪污的話,難道她今天就沒有資格任內政部部長了嗎?
transcript.whisperx[197].start 6170.379
transcript.whisperx[197].end 6185.014
transcript.whisperx[197].text 是不是要等到法律判決 起碼我要先去提告然後等法庭三審判決定讞他的貪污罪才成立所有的官員都沒有這個法律的問題但是李貞秀女士目前的這個身份是有法律問題法律判決了嗎 主委
transcript.whisperx[198].start 6187.376
transcript.whisperx[198].end 6205.377
transcript.whisperx[198].text 有人提到了嗎?法律判決了嗎?韓院長已經裁示我現在是合法的中華民國立法委員謝謝主席請主席保持公正我再次重申法律不能用協商的所以我們尊重李貞秀女士對,我也尊重判決,謝謝那我們是不是可以開始繼續時間
transcript.whisperx[199].start 6207.184
transcript.whisperx[199].end 6222.483
transcript.whisperx[199].text 但是我要請劉部長先上台行政院的官員可以不用上台備選OK好我也不好意思耽誤剩下的委員的時間那我今天就來問好了啦一樣繼續時間沒有關係好謝謝李貞秀女士
transcript.whisperx[200].start 6225.936
transcript.whisperx[200].end 6243.251
transcript.whisperx[200].text 那居住正義被所有國人關注本席要問賴清德總統選前提出社會住宅從蔡總統的12萬戶加碼至13萬戶現在只剩下4萬戶請問劉部長這算不算公然跳票
transcript.whisperx[201].start 6249.014
transcript.whisperx[201].end 6264.784
transcript.whisperx[201].text 你們一邊盤點9.4萬戶設宅用地一邊享用土地不足蓋了也沒人住當作政策跳票的藉口盤點花了納稅人那麼多預算現在變4萬戶請告訴國人剩下的5.4萬戶要怎麼處理所以目前行政院都是沒有回應就對了
transcript.whisperx[202].start 6275.896
transcript.whisperx[202].end 6285.985
transcript.whisperx[202].text 再來國土署署長那我有請國土署署長上台好嗎我這次重申我們尊重李貞秀女士的發言時間暫停所以要等嗎還是我繼續
transcript.whisperx[203].start 6294.271
transcript.whisperx[203].end 6310.727
transcript.whisperx[203].text 繼續好了好謝謝這個國人都在看了希望大家用選票給出公正的回應謝謝好再來國土署署長提到不蓋社宅的理由是市區精華地近乎用盡即便興建
transcript.whisperx[204].start 6312.128
transcript.whisperx[204].end 6332.387
transcript.whisperx[204].text 也可能因區位或需求不足而沒有人租本心要問為何不導入TOD我們台灣民進黨的創黨主席柯文哲在台北市長任內就已經有成功的案例內政部在蔡政府時期對這些工具也非常了解為何賴政府不做
transcript.whisperx[205].start 6333.482
transcript.whisperx[205].end 6355.394
transcript.whisperx[205].text 所以這個政府一直在蔡政府時代陸配參政就任沒有任何問題到賴政府的時候行政部門全體抵觸他不喜歡的立法委員再來你們一直強調社會住宅一直強調會有社宅新辦計畫送進來但住團已經明確控訴內政部2024年8月就已經提
transcript.whisperx[206].start 6362.09
transcript.whisperx[206].end 6383.833
transcript.whisperx[206].text 處下階段設宅新辦計畫行政院到今天都還沒有核定到底什麼時候才會核定完成所以這個也是沒有答案所以這個劉部長要回答嗎
transcript.whisperx[207].start 6387.025
transcript.whisperx[207].end 6396.748
transcript.whisperx[207].text OK好所以一樣劉部長任何的問題民眾的任何問題都沒有回應我們繼續請問劉部長你知道現在有多少人在等社會住宅嗎好一樣不知道是嗎那你不知道我來告訴你現在民眾登基受宅抽籤比中樂透還難
transcript.whisperx[208].start 6407.678
transcript.whisperx[208].end 6421.49
transcript.whisperx[208].text 結果我們看到的是什麼就以林口社宅為例被媒體住戶爆料說園區裡面目前上百戶的社宅空在那邊不只少了租金收入也為園區的安全也成為園區的安全隱患
transcript.whisperx[209].start 6425.495
transcript.whisperx[209].end 6434.883
transcript.whisperx[209].text 民眾候補已經排到了1400多號這在資源配置上顯然有重大的疏失怎麼可能一邊人民搶破頭一邊還有社宅閒置在哪請部長給國人一個理由部長一樣不回應嗎
transcript.whisperx[210].start 6446.406
transcript.whisperx[210].end 6467.019
transcript.whisperx[210].text 請大家看看民進黨政府那個劉士芳部長有多傲慢我接下來開始叫劉士芳女士住都中心讓社宅空的不給住民眾看得到吃不到不好意思這裡可以幫我請那個住都中心的董事長花敬群董事長上台嗎我們一樣尊重行政院的態度謝謝
transcript.whisperx[211].start 6473.376
transcript.whisperx[211].end 6488.701
transcript.whisperx[211].text OK 好 所以大家看看這個傲慢的行政團隊 謝謝任何未來如果他不喜歡的立法委員這個比罷免好用啊好 我們繼續住都中心讓社宅空的不給住民眾看得到吃不到
transcript.whisperx[212].start 6489.581
transcript.whisperx[212].end 6503.175
transcript.whisperx[212].text 證明了駐都中心管理成效不彰然而駐都中心的人事費用連年增加從114到115四年間已經暴增超過兩倍大家可以看那個圖表
transcript.whisperx[213].start 6505.208
transcript.whisperx[213].end 6519.907
transcript.whisperx[213].text 四年間社宅不蓋 可是人事費用暴增兩倍聽到了很多傳言變成 而且人員流動率是異常的頻繁聽說是變成 所以現在駐都中心少蓋社宅
transcript.whisperx[214].start 6520.908
transcript.whisperx[214].end 6536.104
transcript.whisperx[214].text 每年的薪水獎金還可以不斷加碼所以我就要請問內政部部長跟駐都中心的董事長請問現在駐都中心已經變成坐領甘心的酬庸中心了嗎?這要回應一下嗎?國人很想知道
transcript.whisperx[215].start 6542.003
transcript.whisperx[215].end 6560.375
transcript.whisperx[215].text 最後社會住宅政策是重大的民生議題社宅新辦不能選前開支票選後騙選票就例如賴總統去看陸配的店家一樣但是他的行政團隊今天在國會抵制陸配委員
transcript.whisperx[216].start 6562.213
transcript.whisperx[216].end 6580.385
transcript.whisperx[216].text 本席要求第一競速核定新一波社宅興建計畫賴總統任期已經過了兩年多還在空轉除了大罷免大家對賴政府還有任何印象嗎再來打陸配這是可以大概新聞可以超過大罷免了OK
transcript.whisperx[217].start 6582.062
transcript.whisperx[217].end 6599.304
transcript.whisperx[217].text 就是第一號本席要求競速核定新一波社宅興建計劃賴總統的任期已經過了兩年多還在空轉請內政部提出時程報告兩個禮拜內提交給內政委員會的所有委員所以這樣就表示如果劉部長不回應表示兩個禮拜沒有問題
transcript.whisperx[218].start 6602.503
transcript.whisperx[218].end 6629.239
transcript.whisperx[218].text 好再來第二請內政部協同相關單位立刻盤點閒置社宅數量了解閒置原因提出相對政策將書面報告於三個禮拜內送來給內政委員會第三請駐都中心解釋人事支出四年暴增兩倍的理由一個禮拜內以書面報告書面資料送交內政委員會謝謝主席
transcript.whisperx[219].start 6637.084
transcript.whisperx[219].end 6659.566
transcript.whisperx[219].text 我要請問那個吃台灣米喝台灣水長大的民進黨高官請記得你是中華民國的內政部部長不是民進黨的內政部部長你的薪水也是中華民國所有納稅人的薪水而不是民進黨發給你薪水也並不是你的台灣國發給你薪水請尊重中華民國憲法謝謝謝謝李貞秀女士的發言
transcript.whisperx[220].start 6664.656
transcript.whisperx[220].end 6693.202
transcript.whisperx[220].text 接下來我們請丁薛忠委員發言報告委員會丁薛忠委員發言之後我們會休息五分鐘那也可以請內政部等一下在休息的時間可以針對民眾的提問如果有不正確的地方可以對社會做出一些解釋謝謝來請丁薛忠委員詢答謝謝真的我們是希望說
transcript.whisperx[221].start 6694.761
transcript.whisperx[221].end 6710.691
transcript.whisperx[221].text 要有光榮的心,政府真的要有多元化社會的理想好來我請國土署蔡署長來請蔡署長
transcript.whisperx[222].start 6716.809
transcript.whisperx[222].end 6721.832
transcript.whisperx[222].text 署長好 署長我們現在分離關在推動這個麥寮綠色產業加值園區 都市界已經管理更緊 現在才有定數上來 我們來到委員會的選擇這個案子年九月上到中央 地方大家都非常期待 希望可以比較快完成 將有釋定我們現在選擇的進度到達
transcript.whisperx[223].start 6742.819
transcript.whisperx[223].end 6754.383
transcript.whisperx[223].text 向委員報告 因為這次19年到現在國土署才開始召開那個都市教育委員會裡面的小組審查 因為裡面的案裡面那些相關的問題很多所以一個一個 要再去到地方確定一些
transcript.whisperx[224].start 6758.459
transcript.whisperx[224].end 6764
transcript.whisperx[224].text 要變更的一些必要性等等所以這個問題地方政府過一段時間應該會再審過審過以後我們會再加速把這個案子撒去稍後稍後如果過就去到党委會這樣我們就來加速辦理這關於說稍後如果這個案子審起來我們就速度要加快地方都很期待另外一個案子就是我們大廣東柏基山岩湖這個案子也審過我們來党委員會的選擇
transcript.whisperx[225].start 6786.544
transcript.whisperx[225].end 6788.506
transcript.whisperx[225].text 在這裡請問市長 國情的進度是怎樣?國情有在裡面開過一次會 後這個案有開過一次會 我們就有這個意見 再做一些修正後面我們有跟我們的一些同仁 跟我們的委員會加速來去辦理
transcript.whisperx[226].start 6806.748
transcript.whisperx[226].end 6812.551
transcript.whisperx[226].text 三峽分區的生命,對地方的三峽非常強壯,能夠促進零卡索增加,促進到就業機會,所以這個國分可能要拜託國土署,我們加快照顧,再跟我們道上講一下。再來,我請我們県政署張署長,
transcript.whisperx[227].start 6832.321
transcript.whisperx[227].end 6842.286
transcript.whisperx[227].text 蔡署長你再請回座謝謝署長好新年快樂新年快樂我們行政議定國會我們有算過我們三個開始盡情加急調整生肖我們檢察棟林的這個課程其實短期久我直接要請問說我們這個條件的內容到底是什麼
transcript.whisperx[228].start 6856.757
transcript.whisperx[228].end 6871.685
transcript.whisperx[228].text 這個調整有能力的部分就是全國的經濟價值六多的部分台北市掉薪白加本來一倍加到1.3倍另外四多對於0.7個加到一倍
transcript.whisperx[229].start 6872.125
transcript.whisperx[229].end 6897.559
transcript.whisperx[229].text 那台灣縣的各警察局就是提升到0.4倍我們府裡面也是一樣0.4那對於經營的三維車運可以來實施那現在我有交代我們府裡面的局長就把管理部報告因為我們那個理事會經營又夠希望就是管理黨以後到管理委員會去合併那可以追溯到3.6以後就可以來發放
transcript.whisperx[230].start 6899.514
transcript.whisperx[230].end 6899.695
transcript.whisperx[230].text 這個國分,這個公然
transcript.whisperx[231].start 6903.82
transcript.whisperx[231].end 6932.866
transcript.whisperx[231].text 有增加這個增加教育補助嗎?教育補助沒有,這是省錢加值這就是,這是勤務的繁重加值啦教育補助是沒有關係的?平時專業大概增加一千九百四十我們的平時的保温就是本來是零點六點到零點八,到零點二我們說零點幾的,定於換算做授意就是差不多三千幾到三千左右啦
transcript.whisperx[232].start 6933.769
transcript.whisperx[232].end 6937.031
transcript.whisperx[232].text 阿咪哥的政綱,三千以下三千多左右好,現在第二問題就是像我們這種婚姻關係、婚姻直辭事的關係這次新政綱的情侶、觀眾、家族、相機跟零電視是這個
transcript.whisperx[233].start 6954.021
transcript.whisperx[233].end 6961.167
transcript.whisperx[233].text 財力量是十幾斤才有才有才有才有才有才有才有才有才有才有才有才有才有才有才有才有才有才有才
transcript.whisperx[234].start 6981.704
transcript.whisperx[234].end 7005.076
transcript.whisperx[234].text 特別的想法目前我們婚姻經濟教育這個議程的理事會是有交的?理事會有交有交有交有交所以我們實際有辦法不可以再另外再加一筆錢來支付這個錢不用再另外不用不用因為這個理事會用來支付這一筆的那個房仲傑是夠的我們有核算過啦
transcript.whisperx[235].start 7005.876
transcript.whisperx[235].end 7010.058
transcript.whisperx[235].text 好 感謝署長 現在就是基層員警我們正在進行質詢的過分 警察是一個登記存在性的危險問題 高官罪有比較多高官罪最多 像現在官員要圍牢今天11個月
transcript.whisperx[236].start 7030.526
transcript.whisperx[236].end 7039.549
transcript.whisperx[236].text 做加班費嘛 我們的加班費的上限可以到一萬九千塊一萬九千塊可以到一萬九千我們這個過分性可以再調整一下我們來 剛才議員 這我們再來演繹看完啦對啦 今天議員 真的是非常辛苦我們每一天在記者 我們每次都看得到我們每次都看得到 希望說他們可以
transcript.whisperx[237].start 7056.835
transcript.whisperx[237].end 7059.118
transcript.whisperx[237].text 可以讓我們中央政府來重視他們的生活感謝委員謝謝委員我請我們的消防署長
transcript.whisperx[238].start 7073.407
transcript.whisperx[238].end 7080.892
transcript.whisperx[238].text 市長好 新年快樂我們這次行政院調整了警察的一些法律但是我們的消防領域怎麼會作法納入?有已經做了所以同樣的標準 警察跟消防 同樣的標準是不是有關心?
transcript.whisperx[239].start 7103.667
transcript.whisperx[239].end 7108.715
transcript.whisperx[239].text 他們有非常大的信心就是我們中央跟地方都全力來支持他們讓他們對著這個地安問題救災問題他們都可以全力以赴來替我們地方解決這些問題
transcript.whisperx[240].start 7117.591
transcript.whisperx[240].end 7129.3
transcript.whisperx[240].text 所以我們現在有重視到他們的辛苦有來自他們的福利來增加這也是我們非常期待非常高興的一個結果再過一陣子我們警政署、消防署我們就加油還有一個海巡署海巡署也非常辛苦也非常辛苦我們還是要跟他們到處去
transcript.whisperx[241].start 7145.595
transcript.whisperx[241].end 7156.983
transcript.whisperx[241].text 要處理巡邏的海巡署,他們經常做巡邏的業務,但是他們的服務情緒可能就有差,這個國分可能要相關的,怎麼調整給他一樣,這個國分照顧好,結束
transcript.whisperx[242].start 7351.732
transcript.whisperx[242].end 7353.823
transcript.whisperx[242].text 谢谢大家
transcript.whisperx[243].start 7448.814
transcript.whisperx[243].end 7450.657
transcript.whisperx[243].text 谢谢观看 欢迎订阅
transcript.whisperx[244].start 7580.848
transcript.whisperx[244].end 7581.53
transcript.whisperx[244].text 我們都要在一起
transcript.whisperx[245].start 7611.972
transcript.whisperx[245].end 7616.796
transcript.whisperx[245].text 來,我們繼續再來幾位,我們請李柏毅、趙薇,出席謝謝美會主席請劉世芳部長請保重
transcript.whisperx[246].start 7641.856
transcript.whisperx[246].end 7655.162
transcript.whisperx[246].text 來,周圍好來,我們休館兩人間
transcript.whisperx[247].start 7672.312
transcript.whisperx[247].end 7672.972
transcript.whisperx[247].text 好抱歉委員會抱歉
transcript.whisperx[248].start 7703.406
transcript.whisperx[248].end 7722.055
transcript.whisperx[248].text 我的個人的看法那我也認為還是要講一下各黨派的立法委員還有全國的公職人員包含劉部長在內我們都應該要遵守國籍法只有單一國籍在還沒有放棄就就職的情況下
transcript.whisperx[249].start 7726.516
transcript.whisperx[249].end 7754.359
transcript.whisperx[249].text 我認為剛才的李貞秀女士她在韓國瑜院長的裁定裡面在我的看法是因解職未解職那所以我會尊重行政院一貫的態度讓今天內政部還有所屬的官員可以不用上台詢答剛我的意思是這樣子那我來說明一下立法委員他在質詢台
transcript.whisperx[250].start 7756.021
transcript.whisperx[250].end 7759.232
transcript.whisperx[250].text 跟他下了諮詢台以後可以做的事情
transcript.whisperx[251].start 7760.66
transcript.whisperx[251].end 7789.385
transcript.whisperx[251].text 他剛剛可以在執行台裡面他是質疑設宅政策質疑設宅數量質疑居住正義下了台之後他可以做什麼我跟各位說明內政部可以做什麼我也請劉部長回應來劉部長請問我們的關鍵基礎設施的防護包含警政署裡面保二總隊對於電廠水廠通訊中心科學園區等等這些保護方案有沒有可能
transcript.whisperx[252].start 7790.734
transcript.whisperx[252].end 7818.109
transcript.whisperx[252].text 有國安的疑慮的問題如果這個資料提供給疑似有中國籍的人士的話他會涉及什麼依照中華人民共和國的情報法他們的任何公民都應該要配合情報工作喔他們都可以跨海通緝我們的立法委員沈伯陽請問
transcript.whisperx[253].start 7820.543
transcript.whisperx[253].end 7834.642
transcript.whisperx[253].text 如果剛才有立委他在下了質詢台之後他表面上他是在問這個社宅政策但是他一直叫你去辦公室問這個關鍵75設施的相關的這些內容來署長你來回應好了
transcript.whisperx[254].start 7839.927
transcript.whisperx[254].end 7850.544
transcript.whisperx[254].text 來一張 謝謝委員你能給嗎那這個關鍵詩都是機密的這個相關的這個資料那如果有簽署到會赦免當然是不能給好 謝謝署長 來 部長
transcript.whisperx[255].start 7854.297
transcript.whisperx[255].end 7869.088
transcript.whisperx[255].text 謝謝委員的指教我還是要重申李貞秀女士她有國籍法的疑義其實在立法院的院長在協商的時候也提到在相關事實查明之前以及司法最終判決之前
transcript.whisperx[256].start 7870.449
transcript.whisperx[256].end 7888.037
transcript.whisperx[256].text 其實對於他的職權行使是予以尊重那我要跟各位報告我們的中華民國的政府官員是依法行政依這個法第一個國籍法的主管機關就是在內政部當我們對於有一個立法委員
transcript.whisperx[257].start 7889.238
transcript.whisperx[257].end 7917.633
transcript.whisperx[257].text 他有國籍法疑義的時候當然要回到國籍法來處理而且我們已經多次重申到目前為止從李貞秀女士到職前的前一天都沒有收到任何官方的放棄中華人民共和國的資料就表示李貞秀女士要對外回答她是不是否認她是中國人而且剛剛李博義朝委提個非常清楚
transcript.whisperx[258].start 7918.813
transcript.whisperx[258].end 7935.111
transcript.whisperx[258].text 雙重國籍的人擔任公職基於公務人員跟國家是一個特別緊密的忠誠跟信任關係在內政部所屬的不是只有警政署包括我們的甚至國土署或者是包括我們的消防署
transcript.whisperx[259].start 7935.692
transcript.whisperx[259].end 7956.083
transcript.whisperx[259].text 都有機密的文件跟機密的預算我想李委員非常清楚我們在去年啊在內政委員會也曾經審查機密預算那在審查機密預算裡面所提供的任何資訊資料設備等等這些公文書都是需要立法委員來保密的
transcript.whisperx[260].start 7956.363
transcript.whisperx[260].end 7976.312
transcript.whisperx[260].text 而不是立法委員的助理所以我們基於對國家的忠誠度而且基於我們公務人員要依法行政的立場所以對於李貞秀女士的所知或者是質詢或是相關類似向立法委員的一個資料的提供呢愛難照辦
transcript.whisperx[261].start 7977.432
transcript.whisperx[261].end 8005.237
transcript.whisperx[261].text 我再說明一下加強一下除了內政部大家看到內政委員會表面上都是講社宅啦那其實內政部包含全民防衛民防體系警政署的關鍵基礎設施的防衛還有警政署的警政跟反恐的情資還有移民署的國境管理還有生物識別還有國土署的地級以及敏感圖資我請問有哪一項是中共不想要的
transcript.whisperx[262].start 8006.104
transcript.whisperx[262].end 8034.453
transcript.whisperx[262].text 每一項他都想要啊那你在他的框架裡面拿到這一些這還只是內政委員會喔各位可以接受如果在國防委員會外交委員會更多的這些機密請問國人可以接受嗎我是完全不能接受再者幫我秀一下他在就職相關規定裡面我形容一下那個民政司長在嗎
transcript.whisperx[263].start 8036.963
transcript.whisperx[263].end 8062.403
transcript.whisperx[263].text 來,市長我請問一下我們現在的婚姻是登記制還是公開宴客制?護證師,對不起請問一下我們現在的婚姻制度是公開宴客、公開儀式還是要登記?報告委員是登記制韓院長的才智就是公開儀式制啦他說李女士已經就職了,宣誓就職了
transcript.whisperx[264].start 8063.783
transcript.whisperx[264].end 8083.268
transcript.whisperx[264].text 但是所以我們尊重韓院長尊重他的這個行使的權益他在立法院我們這個國籍法的相關規定的回覆書裡面他勾的是他沒有取得外國籍這偽造文書第二個我形容的是怎樣
transcript.whisperx[265].start 8085.748
transcript.whisperx[265].end 8111.773
transcript.whisperx[265].text 假設一對情侶他已經公開宴客辦了三桌親友都有來他們聲稱他們已經是夫妻了去到戶政事務所發現沒有你現在還沒有離婚這樣怎麼辦所以我們對於公職人員還有民意代表我們的就職真的是比婚姻制度還要寬鬆
transcript.whisperx[266].start 8114.023
transcript.whisperx[266].end 8128.37
transcript.whisperx[266].text 憑良心的啦用灰就可以啦所以我是反對這種做法就是韓院長認為公開宣示過他就是立法委員我反對因為他沒有辦法合法登記為台灣的立法委員部長你可以回應一下
transcript.whisperx[267].start 8134.288
transcript.whisperx[267].end 8152.778
transcript.whisperx[267].text 非常謝謝委員所提供的資料確實也是這樣的資料現在內政部也發函請立法院的秘書長可以把李貞秀女士是否有勾本人於就任第11屆立法委員時未取得外國國籍這人事處長有證實
transcript.whisperx[268].start 8154.959
transcript.whisperx[268].end 8167.786
transcript.whisperx[268].text 對,但是我們需要有書面的部分那如果是書面的部分的話,那就表示說他可能是偽造文書那如果是公務員偽造文書的話,在台灣是刑法要入罪的好,謝謝部長,謝謝謝謝,我們感謝李博義、趙偉就選大家高精素美高精素美,高精素美
transcript.whisperx[269].start 8187.092
transcript.whisperx[269].end 8198.438
transcript.whisperx[269].text 高清信的委員敢不敢說來,不在,再來羅民財的委員好,來,羅民財,羅民財,羅民財不在我們要問五分鐘,謝謝
transcript.whisperx[270].start 8449.925
transcript.whisperx[270].end 8474.185
transcript.whisperx[270].text 謝謝接下來我們請鄭正前委員上台詢答謝謝謝主席我想請一下劉世芳部長有請劉部長鄭委員好部長好在上個會期的時候其實在上個會期大概
transcript.whisperx[271].start 8476.295
transcript.whisperx[271].end 8496.155
transcript.whisperx[271].text 1月19號的時候我有質詢過一件事情就是針對於因為內政部從2021年開始那個當時花次長內政部的次長花次長他就曾經表明就是未來興建的社會住宅要同時符合綠建築、智慧建築還有耐震三大標章
transcript.whisperx[272].start 8497.516
transcript.whisperx[272].end 8517.326
transcript.whisperx[272].text 同時在注意中心的施工規範及施工和材料管理標準在09341鋪地專第2.1.3也明文寫著地專的形式其等級應符合設計圖說、濾件材及環保標章並應符合CNS9737及統包需求說明書之規定
transcript.whisperx[273].start 8523.351
transcript.whisperx[273].end 8524.514
transcript.whisperx[273].text 我剛剛講的部分應該都沒有問題吧
transcript.whisperx[274].start 8529.329
transcript.whisperx[274].end 8551.156
transcript.whisperx[274].text 都沒有問題你講一下謝謝委員的關切不要指點頭啦我剛剛那些部分都沒有問題吧沒有問題那我當時的時候有特別提到了就是有關於人無安居社會住宅的問題因為我們收到了一些檢舉就說他們說
transcript.whisperx[275].start 8553.757
transcript.whisperx[275].end 8576.448
transcript.whisperx[275].text 人武IMG的工業現場上面堆了很多越南製的瓷磚沒有綠建材的標章也沒有納入綠建材資料庫沒有環保標章也沒有綠建材的證書針對這個部分我跟劉部長這邊先重新回顧一下因為在
transcript.whisperx[276].start 8579.376
transcript.whisperx[276].end 8593.131
transcript.whisperx[276].text 今年的1月19號我們的委員會當中的時候當時花董事長是直接表示在一個禮拜之內要把這個案子
transcript.whisperx[277].start 8594.292
transcript.whisperx[277].end 8609.265
transcript.whisperx[277].text 仁武安居社宅的統包需求說明書還有持專相關材料送審案核准的文件還有現場實際使用建材的清澈還有綠建材積分表跟審查的報告要一個禮拜之內給我
transcript.whisperx[278].start 8610.106
transcript.whisperx[278].end 8627.958
transcript.whisperx[278].text 那當時你也回答的說沒有問題當然一個禮拜之內一定可以給本席的資料那因為本席也認為這個不是現有的資料要一個禮拜提供我覺得應該綽綽有餘所以我也非常相信就是花董事長這邊的一個執行力結果我們到今天為止的時候
transcript.whisperx[279].start 8629.159
transcript.whisperx[279].end 8655.765
transcript.whisperx[279].text 沒有任何的資料回來我們主動去電住都中心住都中心說他們已經準備好了是國土署跟內政部這邊卡到我們就追了國土署國土署就說是住都中心這邊還沒有把東西弄完整送出來我想請教一下劉世芳部長因為住都中心跟國土署都是你這邊的相關的單位
transcript.whisperx[280].start 8657.765
transcript.whisperx[280].end 8685.096
transcript.whisperx[280].text 那我在想說光是一個這樣提供資料的一個事情然後花董事長也表示一週內綽綽有餘可以提供出來結果到現在已經49天了都還沒有送進來我們打電話去也是你推我我推你大家互推可不可以請部長回答一下這件事情然後什麼時候要給本席報告委員我想到我這邊來卡關是完全沒有的事情
transcript.whisperx[281].start 8685.876
transcript.whisperx[281].end 8703.888
transcript.whisperx[281].text 那如果說這個部分牽涉到弊案的話不是真的綠建材我們當然會馬上來辦理但是您是不是給這個花董事長跟您稍微解釋一下就是這怎麼一回事一點點時間就好了好嗎好謝謝委員關心我想這一些這個案場綠建築
transcript.whisperx[282].start 8706.589
transcript.whisperx[282].end 8724.697
transcript.whisperx[282].text 綠建材要到六成以上這個是符合規定那那個瓷磚確實是越南製但是他確實也有送國家的綠建材的審查也都是符合國家的標準也都通過好啦 那你先回到標準都有送審也都通過你就把資料給我就好啦
transcript.whisperx[283].start 8725.257
transcript.whisperx[283].end 8752.078
transcript.whisperx[283].text 結果一個禮拜不給我們去店的時候你們說是國土署卡說是內政部這邊卡我們打到國土署去國土署說你們這邊沒有準備好資料那到底是怎麼一回事部長你說你這邊不會卡我絕對相信這麼小的事情不需要你這邊來卡可是問題是提供資料這麼一個簡單的事情的時候住地中心跟國土署這邊跟內政部這邊就可以推來推去我們到現在都還沒有拿到資料那
transcript.whisperx[284].start 8752.859
transcript.whisperx[284].end 8771.753
transcript.whisperx[284].text 董事長你這邊說他所有的資料都符合所以我們用的這些資料你一份都沒有送來啊各位報告啊其實同仁感勝的地方關心的地方就是說他可能是屬於廠商內部的資料那所以說其實我們都有資料我們也確定他是符合規定的資料但是他涉及到
transcript.whisperx[285].start 8772.153
transcript.whisperx[285].end 8794.665
transcript.whisperx[285].text 你們就口頭上說你們有資料我們怎麼能夠完全理解怎麼來不去懷疑說是不是駐多在包庇特定的廠商所以光是一個這樣子簡單的資料提供你們都可以不斷的推然後之前我們跟所有的部會要資料的時候如果說他們一個禮拜承諾的時間沒有了他們都會先來打電話來說什麼樣的原因結果
transcript.whisperx[286].start 8795.405
transcript.whisperx[286].end 8804.677
transcript.whisperx[286].text 都沒有打電話內政部也沒有任何單位打電話我們打電話去追你們就推來推去部長請好好處理這件事情主席站起來了你們這邊
transcript.whisperx[287].start 8806.869
transcript.whisperx[287].end 8827.942
transcript.whisperx[287].text 如果覺得說他們完全合法合規那就把資料提供出來我們檢視一下沒有問題就拍拍手就結束了結果你們不給資料我們不得不懷疑是不是住宅中心特定的包庇特定的弊案不讓這事情曝光政委員我想是這樣子除了牽涉到個人資料保護法的話我們一定會馬上提供好嗎
transcript.whisperx[288].start 8828.823
transcript.whisperx[288].end 8837.305
transcript.whisperx[288].text 好,我們就會持續追這個事情,請不要互推,部長請編一下這件事情,不要讓下面的人互推好不好?這個會不會告訴我的答案?好的,謝謝好,謝謝,請內政部盡速提供,謝謝鄭委員接下來我們請登記發言的陳培瑜委員,謝謝對不起,我先把前面的唸一下
transcript.whisperx[289].start 8854.817
transcript.whisperx[289].end 8881.895
transcript.whisperx[289].text 來 邱志維委員 邱志維委員 邱志維委員不在我們請邱毅英委員 邱毅英委員 邱毅英委員不在我們請林柱英委員 林柱英委員 林柱英委員不在我們請羅志強委員 羅志強委員 羅志強委員不在我們請陳培宇委員上台詢答 謝謝主席辛苦了 我們以後都學會要念三次 好 謝謝我們要請內政部長 謝謝
transcript.whisperx[290].start 8886.793
transcript.whisperx[290].end 8900.15
transcript.whisperx[290].text 陳委員好部長有一個難題我們共同來討論但我認為今天其實應該站在我對面的是韓國瑜院長因為上一個禮拜我們針對李珍秀女士的就職的事情我們請韓院長做出相關的決議
transcript.whisperx[291].start 8901.872
transcript.whisperx[291].end 8928.505
transcript.whisperx[291].text 在上個會期的時候結果呢他不願意就事實查明的部分韓院長跟秘書處都沒有動作那非常荒謬的是我們民進黨團從上個會期提案到現在韓國瑜院長竟然就法律事實查明的部分卸責然後拖延結果呢到這個會期更荒謬的是召開黨團協商那所有的法律人都告訴我們你們立法委員只能立法你們沒有資格解釋法律
transcript.whisperx[292].start 8929.125
transcript.whisperx[292].end 8953.167
transcript.whisperx[292].text 結果韓國院長用黨團協商當然是不會有共識結果他就說待事實查明跟司法案件出爐之後再行處理可是我想要跟部長討論一件事情假設現在根據早上召委的宣布部長們可以不用回答李貞秀女士的所有問題可是也可以不用提供資料對不對
transcript.whisperx[293].start 8955.233
transcript.whisperx[293].end 8978.687
transcript.whisperx[293].text 目前現在這樣的做法可能只會落在內政委會因為目前李貞秀她是內政委會的成員之一可是我要問假設韓國瑜院長他決定跟李貞秀站在一起然後他用理法院長的高度對各位行政機關的首長們下達一個命令說你們必須要履行答詢的義務跟提供資料的義務請問部長我們怎麼辦
transcript.whisperx[294].start 8980.628
transcript.whisperx[294].end 9005.572
transcript.whisperx[294].text 報告委員我想這個部分在院長的高度我想他有他的想法但是中華民國所有的政府官員都是依法行政所以在內政委員會尤其內政部來講我們是國籍法的主管機關在現在李貞秀女士還沒有告訴我們她放棄中華人民共和國的申請文件之前這已經非常清楚
transcript.whisperx[295].start 9006.152
transcript.whisperx[295].end 9032.147
transcript.whisperx[295].text 包括他提供給立法院人事處的資料我們現在也希望立法院可以告訴我們是什麼時候提供的是否有讓公務人員偽造公文書的嫌疑啊那有這樣子的疑慮還沒有解釋清楚之前或是釐清之前內政部所有的官員大概就不會以李貞秀女士現在是一個合法合規的中華民國立法委員來提供相關的規範上面應該給的公文書
transcript.whisperx[296].start 9034.588
transcript.whisperx[296].end 9051.954
transcript.whisperx[296].text 部長的態度非常的明確而且說法也非常的清楚我希望韓國瑜立法院長不要到時候要跟李哲秀要跟民眾黨站在一起為虎作倉到時候要用院長的高度去壓迫我們所有行政官員我就必須要再透過今天的質詢跟韓國瑜
transcript.whisperx[297].start 9054.056
transcript.whisperx[297].end 9068.014
transcript.whisperx[297].text 說清楚講明白我要公開呼籲韓國瑜院長同時我要跟部長回應您剛剛所說的一件事情我們辦公室呢要求韓國瑜院長呢必須要把李徵授報到就職的時候他所填寫的那一張雙重國籍的問題
transcript.whisperx[298].start 9069.796
transcript.whisperx[298].end 9091.133
transcript.whisperx[298].text 希望他可以交出來結果到目前為止呢他不願意交出來他回給我們的說法是說在3月11號院長召開的黨團協商會議中呢已經有相關的公務人員回覆委員的詢問所以他不願意交出這個書面資料我認為事實查明這件事情如果在立法院院長的高度不願意面對國人所有的懷疑跟
transcript.whisperx[299].start 9091.693
transcript.whisperx[299].end 9113.682
transcript.whisperx[299].text 疑問我認為這是院長的問題所以我要再次強調事實查明絕對是立法院的工作他不能只是讓李貞秀公了一個謊言然後使公務人員登載不實的這個問題要讓公務人員自行承擔我當然也非常感謝部長剛剛非常堅定的態度跟相關法規的說法另外也跟部長報告另外一件事情我也想要跟您請教
transcript.whisperx[300].start 9114.562
transcript.whisperx[300].end 9129.341
transcript.whisperx[300].text 我們現在手上有一張這個是中選會會給我們每一個立法委員報到的時候我們要尤其是不分區登記提名的時候關於國籍的申請調查表而這張調查表每一個立法委員都要交其中裡面包含
transcript.whisperx[301].start 9129.741
transcript.whisperx[301].end 9147.828
transcript.whisperx[301].text 候選人的消極資格的要求裡面其實有提到如果你有雙重國籍的問題或者是領用大陸地區的護照或是在大陸地區設有戶籍甚至是大陸地區人民香港及澳門地區居民經過許可進入台灣非在台灣設有戶籍滿10年不得登記為候選人這個是所謂消極要件我想部長您當過立法委員非常清楚我們都會填這張單子
transcript.whisperx[302].start 9155.931
transcript.whisperx[302].end 9175.619
transcript.whisperx[302].text 我們辦公室呢在上一個禮拜跟中選會要這個資料希望關於李貞秀的報導資料他們可以提供讓大家知道李貞秀除了在立法院欺騙公務人員之外在中選會的部分有沒有欺騙國人一樣佼佼不實的資料結果到目前為止中選會給我們的回覆是這是他本人的個資
transcript.whisperx[303].start 9177
transcript.whisperx[303].end 9204.259
transcript.whisperx[303].text 沒有辦法公佈沒有辦法提供那我就公開的呼籲中選會我也要拜託韓國瑜院長這個部分關於機密的部分包含身份證字號啊他的居住地方啊這些關於個人的隱私我當然認為可以不要公佈可是就消極要件的部分我也想聽聽看部長您的看法因為就消極的部分把身份證號碼碼起來之後其實他到底是勾哪一個他有沒有承認他自己到底有沒有這個東西我認為這也非常的重要
transcript.whisperx[304].start 9204.927
transcript.whisperx[304].end 9219
transcript.whisperx[304].text 包括委員中選會在一開始審查所謂的政黨不分區委員資格的時候確實有向委員所提示這個申請書那就我們側面的了解他這個申請書可能沒有簽名沒有蓋章
transcript.whisperx[305].start 9219.741
transcript.whisperx[305].end 9240.952
transcript.whisperx[305].text 可能沒有簽名沒有蓋章但是我不敢確認因為我沒有拿到正式的公文書那如果沒有簽名沒有蓋章的狀況之下他不只是讓這個公務人員呢變成是一個登載不實同時對於提名他的民眾黨說不定他也是登載不實不是黨本身而是這個人對於黨
transcript.whisperx[306].start 9242.713
transcript.whisperx[306].end 9260.007
transcript.whisperx[306].text 對於民眾黨所以這個部分當然就是在立法院的韓院長在當時就是說上個禮拜跟各個黨團有提到沒有達成共識有一個部分叫做又有事實及法律有待釐清之處的一點
transcript.whisperx[307].start 9260.908
transcript.whisperx[307].end 9281.318
transcript.whisperx[307].text 第一個 呈報到立法院人事處的公文書到底有沒有完成或者是有沒有真實第二個 呈報到中選會裡面的一個不分區立法委員的申請書或者是登記書有沒有把所有的程序完成那這個呢 都是有待事實跟法律要釐清之處
transcript.whisperx[308].start 9282.879
transcript.whisperx[308].end 9309.057
transcript.whisperx[308].text 韓國瑜院長那個部長把我要講的話講完了我就是要教韓院長你的事實查明可以做這兩件事情一是在你立法院的文件李徵秀報告的時候簽了什麼第二個他們民眾黨交給中選會的資料李徵秀到底簽了什麼寫了什麼就這兩件事實你查都不查做都不做結果就是全台灣都要等著看一個極大黑箱的立法院再次謝謝部長就法規範的堅持還有對國家忠誠的敬道責任謝謝
transcript.whisperx[309].start 9312.479
transcript.whisperx[309].end 9317.041
transcript.whisperx[309].text 謝謝主席好 謝謝 謝謝陳培宇委員 謝謝接下來我們請吳祁銘委員詢答謝謝好 三位一位同仁請我們內政部部長
transcript.whisperx[310].start 9336.974
transcript.whisperx[310].end 9355.871
transcript.whisperx[310].text 委員好部長好今天早上大家都為了李徵秀的事情大家都在討論那我們還是要針對我們的體制來走本席這邊還是比較關心的就是社會住宅社會住宅現在的住宅是全國統一申請登記的平台
transcript.whisperx[311].start 9356.872
transcript.whisperx[311].end 9373.892
transcript.whisperx[311].text 這個政策非常好因為我們的社會住宅在一般的民眾的需求是非常的高尤其年輕人大家都抱著非常高的意願所以說在這個社會住宅在推動的過程中
transcript.whisperx[312].start 9374.432
transcript.whisperx[312].end 9375.794
transcript.whisperx[312].text 我們設立與統一的申請平台有一個好處,不用在各縣市申請,因為各縣市會有疑慮,是公平性的問題
transcript.whisperx[313].start 9394.115
transcript.whisperx[313].end 9412.106
transcript.whisperx[313].text 在我們中央第一年一定要透明化大家都會期待我什麼時候補得到那你這整個資訊透明化那個民眾他就沒這個餘力所以就是我們政府的德政
transcript.whisperx[314].start 9412.626
transcript.whisperx[314].end 9426.196
transcript.whisperx[314].text 所以說在這件我希望說我們的社會住宅現在普遍我們的一些年輕人大家對我們這個社會住宅的推動大家都抱著非常高的期待是不是請博長來回答
transcript.whisperx[315].start 9430.105
transcript.whisperx[315].end 9456.523
transcript.whisperx[315].text 委員全國統一申請登記平台也是我們上一次在修正住宅法的時候放到裡面去好處就是剛才委員所講的部分第一個要全國有統一的規範然後再來比較能夠有一致性同時目前是採取各個地方政府跟我們的社宅一起來做這個銜接但是地方政府的銜接確實每個地方政府會有落差
transcript.whisperx[316].start 9457.284
transcript.whisperx[316].end 9478.4
transcript.whisperx[316].text 所以如果建置全國的統一平台的時候呢我們可以把說服資料還有攝服的資料譬如說縣市地方政府對於中低收入戶或是低收入戶他的認定資格本來都不相同但是我們把它放在統一平台裡面去的時候呢會認定他是不是符合登記社會住宅這樣的資格尤其是年輕人他說不定跨
transcript.whisperx[317].start 9479.14
transcript.whisperx[317].end 9495.517
transcript.whisperx[317].text 縣市來申請社會住宅是有幫助的但是現在這個部分我們必須要把它能夠數位化還有跟各縣市地方政府來合作所以我們預計要在117年之前會完成這個登記平台
transcript.whisperx[318].start 9497.56
transcript.whisperx[318].end 9516.358
transcript.whisperx[318].text 因為我們還是要加快因為這是民眾覺得公平性大家的信賴度會更高這是我們好的進程我們都要盡快去推動再來就是我們的包租貸款包租貸款我剛才問我們的董事長現在全國也有10萬戶的包租貸款這成績還是不錯
transcript.whisperx[319].start 9521.022
transcript.whisperx[319].end 9530.849
transcript.whisperx[319].text 但是後面一些配套我們還是要要把它規劃的更為完善其實我們現在民眾很多都是因為買不出買不出
transcript.whisperx[320].start 9532.674
transcript.whisperx[320].end 9544.801
transcript.whisperx[320].text 他就要來做出,這都屬於比較弱勢團體所以說在這個弱勢團體,我們要怎麼來說像我們這個平台來推動,讓他們可以做到比較合格的價格但是你說剛才合格的價格,我們也不能說去圖利他們很多的,大家都是整間公司來做人
transcript.whisperx[321].start 9559.65
transcript.whisperx[321].end 9579.838
transcript.whisperx[321].text 也不能去圖利到這些房東啦我們要再想出一套的配套措施這是未來我們還要再去研究針對於我們的那個老宅延朔老宅延朔的問題其實我們在我們的新北這個都會區我們都知道那個處都三四十年了其實三四十年的處
transcript.whisperx[322].start 9582.319
transcript.whisperx[322].end 9589.087
transcript.whisperx[322].text 很多都是需要說來做補償像說我們的過去0403這個地震這就噴射到山窟土層就發生這個圍爐的問題所以說在這個情形你說在五月份就要上路那目前的經費
transcript.whisperx[323].start 9601.883
transcript.whisperx[323].end 9625.61
transcript.whisperx[323].text 都還沒通過那未來會不會影響 抱歉這3月5號的時候行政院的院會報告已經通過了我們現在是請 譬如說新北市他必須要有一個專業的輔導團隊能夠成立 因為要行政的人 不能說政策這麼這麼這樣到時候不會過的 說我們配人我們現在中央國土署已經有輔導團隊但是每個縣市政委也要有輔導團隊 這樣比較好處理啦
transcript.whisperx[324].start 9627.691
transcript.whisperx[324].end 9647.697
transcript.whisperx[324].text 是 因為在我們新北 這個的老宅 它這個比例非常高每一邊的地方 就是都有很多危老的出現但是我跟委員報告一下 老宅延壽 第一項就是要經過耐震評估啦你如果是耐震評估不合格 可能也沒希望 你可以來申請 可能你要走危老
transcript.whisperx[325].start 9648.677
transcript.whisperx[325].end 9661.104
transcript.whisperx[325].text 還是土耕比較好因為你本來的地盤有危險,你又把它修修這樣不對這樣反而危險,不符合我們老宅延壽的補貼或者是協助修繕的目標
transcript.whisperx[326].start 9662.431
transcript.whisperx[326].end 9685.082
transcript.whisperx[326].text 因為這是一個很好的政策民族也是很期待尤其是在這種五樓的房子、四樓的房子這種以前旅行的公屋房子四樓、六樓或是六樓以下的套廳你要說整個來做都市更新還是有困難所以這個老齋元素這個部分、這個政策是非常好這個部分我們要繼續努力好 謝謝
transcript.whisperx[327].start 9694.491
transcript.whisperx[327].end 9707.241
transcript.whisperx[327].text 謝謝吳啟明委員接下來我們請徐欣盈委員去詢答 謝謝謝謝主席 本席有請劉部長
transcript.whisperx[328].start 9715.886
transcript.whisperx[328].end 9732.901
transcript.whisperx[328].text 首先本席想就道路改善工程跟交通執法的問題來跟您就教首先第一個我們看到114年全國路口不停讓行人違規的案件有12.6萬
transcript.whisperx[329].start 9734.802
transcript.whisperx[329].end 9742.677
transcript.whisperx[329].text 我們看到業務報告裡面寫114年1月到9月科技執法的設備取締重大違規有119萬3659件
transcript.whisperx[330].start 9746.803
transcript.whisperx[330].end 9764.25
transcript.whisperx[330].text 那我們絕對不是反對執法但是我們想探討的是如果道路設計本身沒有改好那人民卻一直看到更多的照相機那並不是看到更多的安全這種情況下
transcript.whisperx[331].start 9765.31
transcript.whisperx[331].end 9765.931
transcript.whisperx[331].text 報告委員 我覺得兩組都需要
transcript.whisperx[332].start 9781.903
transcript.whisperx[332].end 9807.204
transcript.whisperx[332].text 因為工程改善需要時間不是 工程改善需要時間但是現在每天發生車禍的時候就是還是需要有執法人員強力執法所以兩者一定要並行好 兩者並行那我們接著就來探討那我們工程的速度我們總是可以看吧我們工程補助的速度時程在哪裡這點部長我可不可以請署長跟您回應一下好 那署長簡單講我時間有限
transcript.whisperx[333].start 9810.834
transcript.whisperx[333].end 9818.923
transcript.whisperx[333].text 跟委員報告我們每年都有依照補助計劃人行環境的一些相關的改善或者是交通路口那輔導地方政府來去做申請
transcript.whisperx[334].start 9820.407
transcript.whisperx[334].end 9840.308
transcript.whisperx[334].text 那現在就是說如果我們這個像行人行川線沒有退縮 屁股島也還沒有設 騎樓還是高低不平那轉角的市距死角也還在那我們有再多的科技執法呢我們都會讓人民感覺到說我們把這個
transcript.whisperx[335].start 9842.39
transcript.whisperx[335].end 9871.056
transcript.whisperx[335].text 道路的安全設計責任丟就直接丟給用路人所以我們是不是可以請中央就是說內政部這裡有沒有辦法一周內來盤點那中央對於我們地方政府譬如說我想請您盤點對新竹縣那能夠補助加速地方規劃施工的項目清單一周可以嗎跟我也報告那個個案的部分由地方政府這邊
transcript.whisperx[336].start 9871.82
transcript.whisperx[336].end 9899.657
transcript.whisperx[336].text 我們再去協調他提出那這個部分也涉及到交通部以及地方的交通局那每個案子的狀況都不太一樣那沒關係我接著講有關我們校園安全能不能從一所學校變成一張路網也就是說我們也很感謝啦我們國土署確實都陸續有在補助我們學校周邊的道路交通安全的這個改善那這個通學步道的改善
transcript.whisperx[337].start 9900.718
transcript.whisperx[337].end 9922.871
transcript.whisperx[337].text 有時候就是那30公尺50公尺那孩子走離開學校30公尺50公尺又繼續進入行人地獄這種情形我們中央有沒有想好能不能把校園安全擴大成上學的整條路都安全呢那不然就感覺就是做半套這個部分看怎麼來改善好不好
transcript.whisperx[338].start 9923.77
transcript.whisperx[338].end 9945.204
transcript.whisperx[338].text 跟委員報告這個目前所有的計畫在推動都有這樣去要求但是因為涉及到地方要去溝通協調的事項非常多所以是地方的問題因為這個東西都是第一線在我們是督導而且補助會不會地方他整體規劃可是上來你們錢就只給一點沒有我們會再去檢視他實際上要執行的內容
transcript.whisperx[339].start 9946.064
transcript.whisperx[339].end 9959.722
transcript.whisperx[339].text 所以如果他全盤性那你們也是有也是會等於是會整體給對因為我們這一些補助項目也涉及到一些相關的交通預算所以整個是在中央部會裡面會有一些相關預算來補助
transcript.whisperx[340].start 9961.684
transcript.whisperx[340].end 9985.959
transcript.whisperx[340].text 好 那我想我們還是要特別跟中央來反映我們罰單只可以改變一時的行為我們改善工程才能夠改變我們民眾每天的命運那再來本席請教部長我們有看到公路法它的修正我們也認同把汽車燃料使用費證明為公路使用養護安全管理費
transcript.whisperx[341].start 9986.92
transcript.whisperx[341].end 10001.626
transcript.whisperx[341].text 而且這個費用是由公路主管機關統一徵收之後交通部會商內政部辦理那分配的比例我們可以了解一下嗎交通部跟內政部分配的比例報告委員
transcript.whisperx[342].start 10002.844
transcript.whisperx[342].end 10028.286
transcript.whisperx[342].text 因為法律還沒通過法律通過以後分配的比例還沒有 我們的還沒修正我們的還沒修正你們那個現在交通部現在交通部也還沒有告訴我們分配的比例是怎麼來處理但是我是覺得從事實上來考量我們應該就是從公路自己本身要養護怎麼樣讓公路更安全能保障用路人的安全來處理 而是不要
transcript.whisperx[343].start 10029.406
transcript.whisperx[343].end 10049.093
transcript.whisperx[343].text 就是說很硬性的就是說是5比5或是7比3那所以在行政院的大安匯報裡面院長他都會做財事也根據各種不同縣市政府裡面的需求用這樣的經費來處理有關於道路安全的事項不管是軟體或硬體的改善都會放在這裡面那本席想向內政部提出
transcript.whisperx[344].start 10049.813
transcript.whisperx[344].end 10072.981
transcript.whisperx[344].text 你們是不是在跟交通部未來一定會協調嘛對不對協調的時候我們內政部因為本身國土署這裡也有一些道路改善的部分我們是不是可以提出地方道路需求模型那我們主動提出來才能夠跟他們來共同協調那我們這邊可以有這個分配的比例這個部分請署長
transcript.whisperx[345].start 10076.267
transcript.whisperx[345].end 10098.302
transcript.whisperx[345].text 謝謝委員 這個部分我們會再朝這個方向一個計畫要強化我們市區道路的重要更貼近人民所以我的重點是內政部要主動提出你這個模型然後你在討論的時候當然交通部他們也有一些經費也是會到地方但是內政部不能行政帶多你要主動提出
transcript.whisperx[346].start 10099.022
transcript.whisperx[346].end 10124.791
transcript.whisperx[346].text 交通部在分配預算的時候我們會把一些相關的需求整合進去把一個整體性的規劃在那個區域裡面一起來做改善那本席提的你們是不是也可以內政部自己要提出這個需求的模型我們自己本身也會依照我們會提那這到時候的情況是不是也可以有一個書面給我們我們再跟交通部協調以後再把一些資料給委員
transcript.whisperx[347].start 10126.619
transcript.whisperx[347].end 10151.547
transcript.whisperx[347].text 好 謝謝最後 本席想就教部長我們過去很多年來等於我們知道台北是我們的首都所以首都的很多建設它也代表著我們的門面現在新竹是等於台灣科技的心臟同時也創造了整個台灣經濟奇境很重要的經濟命脈
transcript.whisperx[348].start 10153.088
transcript.whisperx[348].end 10160.101
transcript.whisperx[348].text 所以新竹可以說是科技的首都所以在這個經費補助的運用上是不是可以有一些優先
transcript.whisperx[349].start 10163.084
transcript.whisperx[349].end 10188.869
transcript.whisperx[349].text 報告委員 我們都是依法行政經費的補助上面應該按照財政收支劃分法裡面的級別來做補助那如果是專案計畫 譬如說剛委員提到今天如果是國科會 要通過國科研處我現在的意思就是說 這一個思維大家比較忽略台灣經濟的命脈 然後又是科技首都這個部分是不是可以來強化
transcript.whisperx[350].start 10190.695
transcript.whisperx[350].end 10207.112
transcript.whisperx[350].text 我想您還是能夠提出它是哪一種專案那我們才能就這個回答否則我們要面對22個縣市的委員大家都說他們是什麼首都什麼首都那我回答的部分有回答跟沒回答是一樣的所以我特別講了嘛
transcript.whisperx[351].start 10207.332
transcript.whisperx[351].end 10229.418
transcript.whisperx[351].text 台灣經濟的命脈大家講到科技講到半導體我想新竹大家是不會否認的所以科技首都這個部分我們不是說要專美於前不是而是在這一塊大家是不是可以也不是大家啦就我們中央這裡能夠特別強化這一塊可以思考一下啦好不好好謝謝
transcript.whisperx[352].start 10232.691
transcript.whisperx[352].end 10255.912
transcript.whisperx[352].text 好,謝謝許新英委員接下來我們請蔡易瑜委員詢答謝謝趙偉,那我是不是有請我們內政部我們部長請劉部長
transcript.whisperx[353].start 10262.486
transcript.whisperx[353].end 10284.925
transcript.whisperx[353].text 蔡委員好部長好部長首先要感謝因為在去年丹納斯颱風受災這麼嚴重那我們現在內政部也核定要針對鄉鎮的村裡的災防能力那內政部這邊會提供對應的一些他們需要防災的一些空間的一個補助那我想這個幫助很大
transcript.whisperx[354].start 10285.325
transcript.whisperx[354].end 10310.928
transcript.whisperx[354].text 尤其是一些在比較偏遠的一些村裡的辦公室它基本上他們村裡辦公室就是防災中心就是村裡的防災中心那這個補助的幫助是有的所以在這邊先感謝部長那第二個要跟部長來聊一下就是說我想這個是不是也請我們這個內政部國土署是不是也可以上來那
transcript.whisperx[355].start 10314.576
transcript.whisperx[355].end 10331.509
transcript.whisperx[355].text 我們知道說現在整個土方的一個問題很多土方是需要找地方去劃的所以這個問題我們必須要正視而且現在就民間在說那個處理土方的費用一直墊高
transcript.whisperx[356].start 10332.971
transcript.whisperx[356].end 10348.084
transcript.whisperx[356].text 這個墊高的結果有可能會造成未來的整個營建成本都是提高的所以它會產生的後續的影響是很大的那我這邊也是提供一個就是說 事實上我一直在講就是我們布袋山崗的北側到東石的這個壽島這一塊是適合填海造路的
transcript.whisperx[357].start 10355.791
transcript.whisperx[357].end 10380.527
transcript.whisperx[357].text 那這一塊怎麼適合呢我直接給部長看看他這十年來的一個變化因為我們知道東石布袋外側就是外山頂洲那在內側有一個壽島那整體外山頂洲跟壽島不斷的在難移所以我們可以看看2015年的時候我在講的這一塊它這個是壽島然後跟三港的北側你看當時候的沙洲長這個樣子
transcript.whisperx[358].start 10381.428
transcript.whisperx[358].end 10409.491
transcript.whisperx[358].text 然後到了2021的時候它就開始在持續的它是持續的不斷的在南漂來再下一頁然後到了2023、2025的時候你看它已經南漂到第一個島已經完全都已經卡住了這一個港取家這一個布袋第三漁港的這個港嘴這裡已經堵住了然後第二個這個受導的第二個島鏈也往下漂過來
transcript.whisperx[359].start 10410.211
transcript.whisperx[359].end 10436.963
transcript.whisperx[359].text 所以就會看得到原本的這個出海口是在南端現在變成是在中端所以以這樣的一個趨勢咧也許再過十年我們看的這一塊這一個海域咧它就會被完全封住會被完全封住再過可能再十年所以大自然的力量會導致這裡會變成一個內陸化所以原本裡面有刺刮鵝尾現在你看二零二五的時候現在鵝尾全部清除了
transcript.whisperx[360].start 10437.823
transcript.whisperx[360].end 10443.665
transcript.whisperx[360].text 就表示說這裡已經沒有辦法去從事漁業所以也沒有生態問題那既然沒有生態問題的話很遺憾的這一個海域還被劃為濕地因為當時在決定國家濕地的時候範圍劃太大把我們整個布袋跟當時我們整個海岸線都把它劃為濕地那很明顯的這裡的濕地名稱叫做
transcript.whisperx[361].start 10463.671
transcript.whisperx[361].end 10486.54
transcript.whisperx[361].text 叫做瀑子溪河口失地 但是這裡離瀑子溪超級遠跟瀑子溪的河口完全沒有關係他只是當時把整個海岸線都把他抓進來那如果我這樣給部長很清楚的看到這十年來因為受倒的難移 然後整個海岸線的變化現在受倒的第二個島鏈也已經快要往下再繼續擠下去
transcript.whisperx[362].start 10488.061
transcript.whisperx[362].end 10510.809
transcript.whisperx[362].text 所以這裡就是一個很適合做填海造陸也可以協助去化土方的地方那中間這陣段就卡到說也許這個跟私地的一個私地保育法的競合關係但是不管怎麼競合我想內政部總是有辦法來做通盤的一個檢討那既然這塊地適合現在來處理土方那我們是不是可以加速來進行呢
transcript.whisperx[363].start 10511.849
transcript.whisperx[363].end 10527.354
transcript.whisperx[363].text 好謝謝蔡委員的關心委員在戴納斯颱風過後你就有跟我提到這個事情所以回來我們有做一下這個精進跟檢討的方案第一個這個地方是不是適合做所謂的填海照路現在國土署已經把它納入我們在做評估
transcript.whisperx[364].start 10528.234
transcript.whisperx[364].end 10548.322
transcript.whisperx[364].text 那第二個就是說失地保育法其實呢第九條的規定就是如果他是因為國家的重大公共利益跟國人報告填海造陸是屬於我們要辦理國土流失那個最重要的這個利益的時候我們當然要衡量輕重認為是填海造陸是非常重要的
transcript.whisperx[365].start 10548.922
transcript.whisperx[365].end 10564.105
transcript.whisperx[365].text 但是這一塊整個的嘉義布袋的這個部分不管是北邊或是南邊未來有沒有其他的國家重要建設比如說海水淡化廠或者是說因為嘉義現在有COWAS的關係會有其他的重要的科學園區需要做這個進合
transcript.whisperx[366].start 10565.186
transcript.whisperx[366].end 10577.94
transcript.whisperx[366].text 那這個淨河上面如果已經有畫出來說這塊區域需要做填海造陸的話那當然它是一個非常好的未來這個營建剩餘土石方乾淨的土石方的一個去化的一個目標我們會朝著這方面來檢討改進
transcript.whisperx[367].start 10580.282
transcript.whisperx[367].end 10595.479
transcript.whisperx[367].text 好 那跟部長說一下就是說我們做海蛋廠的填海招入地點並不是這一塊所以這一塊又是新的那只是這一塊面積遠大於原本經濟部所規劃的經濟部大概那一塊只有20公頃那大概100萬方的土方就
transcript.whisperx[368].start 10595.999
transcript.whisperx[368].end 10610.974
transcript.whisperx[368].text 至少這邊去化一千萬方都沒有問題這塊明顯大人說但是會不會影響到布袋港就是我們是不是需要跟交流部布袋港的預計啊可以加加再整體評估但是不會影響布袋港的原因就是說它原本就是一個極端已經快要內陸化的一塊
transcript.whisperx[369].start 10612.355
transcript.whisperx[369].end 10635.643
transcript.whisperx[369].text 一個海域的 所以這個地方你看連那個鵝尾鴨都已經沒辦法進出了連最淺的鵝尾鴨都已經沒辦法了所以它這裡的生態的功能幾乎是完全消失了是 我要跟委員報告不管是跟經濟部的水利署或者是交通部來聯繫就是我們填海造陸以後要做什麼例如說我們現在台北港在接收剩餘土石方它是為了台北港為了要擴建
transcript.whisperx[370].start 10636.943
transcript.whisperx[370].end 10651.789
transcript.whisperx[370].text 或者是未來的那個高雄的南興計劃區它有剩餘土石方法 它是要擴建可能當成是不是機場啦 或是其他的這個循環經濟園區使用不是說純粹土 但是那個地方 它要有一個所以要做一個整體的規範會面的時候總統也有來布袋這裡 然後稍微跟他說明一下這樣總統也覺得說 嗯 有一些方向讓我去思考
transcript.whisperx[371].start 10660.473
transcript.whisperx[371].end 10674.106
transcript.whisperx[371].text 那我也覺得我會認真去思考未來要做什麼這件事情但是呢總是這個前提作業因為如果目前他還被沒有辦法啟動天海造陸的話很多很多後續的計畫是也沒有辦法去認真去啟動的是
transcript.whisperx[372].start 10675.607
transcript.whisperx[372].end 10697.485
transcript.whisperx[372].text 報告委員那個院長他會跨部會來處理這塊事情那也知道那個蔡委員的關心有時間他可能要到現場去看那就會把內政部、經濟部還有或者交通部相關的部會甚至國科會揮擊、召集然後來處理這一塊我想這個對於台灣在處理國土流失以內政部的主管機關來看的話我們是樂觀其事好 謝謝部長
transcript.whisperx[373].start 10707.41
transcript.whisperx[373].end 10719.558
transcript.whisperx[373].text 我們登記發言的委員除了不在場以外都已發言完畢,詢答結束委員王美惠、廖先祥、高金素梅、羅志強、邱志偉所提的書面質詢列入紀錄刊登公報
transcript.whisperx[374].start 10721.704
transcript.whisperx[374].end 10732.038
transcript.whisperx[374].text 書面質詢及未答覆的部分請相關單位除了李貞秀女士的以外都於一週內書面答覆並複製本會
transcript.whisperx[375].start 10735.779
transcript.whisperx[375].end 10751.56
transcript.whisperx[375].text 討論事項所列議案另定期繼續審查另外補充報告本日議程與其他單位的報告請委員自行參酌並刊登公報本日會議到此結束,現在散會,謝謝