iVOD / 16425

Field Value
IVOD_ID 16425
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16425
日期 2024-12-26
會議資料.會議代碼 聯席會議-11-2-35,36-1
會議資料.會議代碼:str 第11屆第2會期外交及國防、司法及法制委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 35
會議資料.委員會代碼[1] 36
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.委員會代碼:str[1] 司法及法制委員會
會議資料.標題 第11屆第2會期外交及國防、司法及法制委員會第1次聯席會議
影片種類 Full
開始時間 2024-12-26T10:00:02+08:00
結束時間 2024-12-26T12:19:00+08:00
影片長度 02:18:58
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/7a505bc1fba11f2dc7e719fa4ce89b4f3fae710ea3aec1ca6d1319bf84c9168213b7edb4d8ffe1aa5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-26T10:30:00+08:00
會議名稱 立法院第11屆第2會期外交及國防、司法及法制委員會第1次聯席會議(事由:一、審查行政院函請審議「駐德國台北代表處與德國在台協會刑事司法互助協議」案。二、審查行政院函請審議「中華民國(臺灣)政府與吐瓦魯國政府刑事司法互助條約」案。三、審查行政院函請審議「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約」案。)
委員名稱 完整會議
委員發言時間 10:00:02 - 12:19:00
transcript.pyannote[0].speaker SPEAKER_15
transcript.pyannote[0].start 1827.52596875
transcript.pyannote[0].end 1831.03596875
transcript.pyannote[1].speaker SPEAKER_17
transcript.pyannote[1].start 1832.87534375
transcript.pyannote[1].end 1833.95534375
transcript.pyannote[2].speaker SPEAKER_17
transcript.pyannote[2].start 1834.44471875
transcript.pyannote[2].end 1836.72284375
transcript.pyannote[3].speaker SPEAKER_20
transcript.pyannote[3].start 1837.26284375
transcript.pyannote[3].end 1842.69659375
transcript.pyannote[4].speaker SPEAKER_20
transcript.pyannote[4].start 1842.96659375
transcript.pyannote[4].end 1844.67096875
transcript.pyannote[5].speaker SPEAKER_20
transcript.pyannote[5].start 1844.97471875
transcript.pyannote[5].end 1852.18034375
transcript.pyannote[6].speaker SPEAKER_20
transcript.pyannote[6].start 1852.46721875
transcript.pyannote[6].end 1855.57221875
transcript.pyannote[7].speaker SPEAKER_20
transcript.pyannote[7].start 1855.74096875
transcript.pyannote[7].end 1860.43221875
transcript.pyannote[8].speaker SPEAKER_17
transcript.pyannote[8].start 1863.48659375
transcript.pyannote[8].end 1893.96284375
transcript.pyannote[9].speaker SPEAKER_17
transcript.pyannote[9].start 1894.65471875
transcript.pyannote[9].end 1917.63846875
transcript.pyannote[10].speaker SPEAKER_17
transcript.pyannote[10].start 1918.14471875
transcript.pyannote[10].end 1918.51596875
transcript.pyannote[11].speaker SPEAKER_17
transcript.pyannote[11].start 1919.07284375
transcript.pyannote[11].end 1923.73034375
transcript.pyannote[12].speaker SPEAKER_17
transcript.pyannote[12].start 1924.18596875
transcript.pyannote[12].end 1948.40159375
transcript.pyannote[13].speaker SPEAKER_17
transcript.pyannote[13].start 1949.36346875
transcript.pyannote[13].end 1950.42659375
transcript.pyannote[14].speaker SPEAKER_17
transcript.pyannote[14].start 1952.60346875
transcript.pyannote[14].end 1954.12221875
transcript.pyannote[15].speaker SPEAKER_17
transcript.pyannote[15].start 1954.22346875
transcript.pyannote[15].end 1957.34534375
transcript.pyannote[16].speaker SPEAKER_17
transcript.pyannote[16].start 1960.38284375
transcript.pyannote[16].end 1963.13346875
transcript.pyannote[17].speaker SPEAKER_17
transcript.pyannote[17].start 1965.68159375
transcript.pyannote[17].end 1967.74034375
transcript.pyannote[18].speaker SPEAKER_17
transcript.pyannote[18].start 1969.51221875
transcript.pyannote[18].end 1971.21659375
transcript.pyannote[19].speaker SPEAKER_17
transcript.pyannote[19].start 1972.81971875
transcript.pyannote[19].end 1976.36346875
transcript.pyannote[20].speaker SPEAKER_17
transcript.pyannote[20].start 1978.28721875
transcript.pyannote[20].end 1981.02096875
transcript.pyannote[21].speaker SPEAKER_17
transcript.pyannote[21].start 1982.25284375
transcript.pyannote[21].end 1982.77596875
transcript.pyannote[22].speaker SPEAKER_17
transcript.pyannote[22].start 1982.97846875
transcript.pyannote[22].end 1988.63159375
transcript.pyannote[23].speaker SPEAKER_17
transcript.pyannote[23].start 1988.85096875
transcript.pyannote[23].end 2000.74784375
transcript.pyannote[24].speaker SPEAKER_17
transcript.pyannote[24].start 2000.91659375
transcript.pyannote[24].end 2000.95034375
transcript.pyannote[25].speaker SPEAKER_17
transcript.pyannote[25].start 2000.96721875
transcript.pyannote[25].end 2002.67159375
transcript.pyannote[26].speaker SPEAKER_17
transcript.pyannote[26].start 2003.27909375
transcript.pyannote[26].end 2004.79784375
transcript.pyannote[27].speaker SPEAKER_17
transcript.pyannote[27].start 2005.35471875
transcript.pyannote[27].end 2012.49284375
transcript.pyannote[28].speaker SPEAKER_11
transcript.pyannote[28].start 2008.61159375
transcript.pyannote[28].end 2008.86471875
transcript.pyannote[29].speaker SPEAKER_17
transcript.pyannote[29].start 2012.84721875
transcript.pyannote[29].end 2015.58096875
transcript.pyannote[30].speaker SPEAKER_17
transcript.pyannote[30].start 2017.80846875
transcript.pyannote[30].end 2025.26721875
transcript.pyannote[31].speaker SPEAKER_17
transcript.pyannote[31].start 2025.48659375
transcript.pyannote[31].end 2040.10034375
transcript.pyannote[32].speaker SPEAKER_17
transcript.pyannote[32].start 2042.37846875
transcript.pyannote[32].end 2044.79159375
transcript.pyannote[33].speaker SPEAKER_17
transcript.pyannote[33].start 2045.11221875
transcript.pyannote[33].end 2048.70659375
transcript.pyannote[34].speaker SPEAKER_17
transcript.pyannote[34].start 2049.21284375
transcript.pyannote[34].end 2049.58409375
transcript.pyannote[35].speaker SPEAKER_17
transcript.pyannote[35].start 2049.97221875
transcript.pyannote[35].end 2051.81159375
transcript.pyannote[36].speaker SPEAKER_17
transcript.pyannote[36].start 2052.38534375
transcript.pyannote[36].end 2056.53659375
transcript.pyannote[37].speaker SPEAKER_17
transcript.pyannote[37].start 2057.51534375
transcript.pyannote[37].end 2058.30846875
transcript.pyannote[38].speaker SPEAKER_17
transcript.pyannote[38].start 2060.16471875
transcript.pyannote[38].end 2068.87221875
transcript.pyannote[39].speaker SPEAKER_17
transcript.pyannote[39].start 2069.27721875
transcript.pyannote[39].end 2073.27659375
transcript.pyannote[40].speaker SPEAKER_17
transcript.pyannote[40].start 2073.69846875
transcript.pyannote[40].end 2074.55909375
transcript.pyannote[41].speaker SPEAKER_17
transcript.pyannote[41].start 2075.06534375
transcript.pyannote[41].end 2079.50346875
transcript.pyannote[42].speaker SPEAKER_17
transcript.pyannote[42].start 2082.16971875
transcript.pyannote[42].end 2084.71784375
transcript.pyannote[43].speaker SPEAKER_17
transcript.pyannote[43].start 2086.67534375
transcript.pyannote[43].end 2088.81846875
transcript.pyannote[44].speaker SPEAKER_17
transcript.pyannote[44].start 2089.12221875
transcript.pyannote[44].end 2089.88159375
transcript.pyannote[45].speaker SPEAKER_17
transcript.pyannote[45].start 2093.47596875
transcript.pyannote[45].end 2096.14221875
transcript.pyannote[46].speaker SPEAKER_17
transcript.pyannote[46].start 2098.55534375
transcript.pyannote[46].end 2101.00221875
transcript.pyannote[47].speaker SPEAKER_17
transcript.pyannote[47].start 2102.92596875
transcript.pyannote[47].end 2104.71471875
transcript.pyannote[48].speaker SPEAKER_17
transcript.pyannote[48].start 2106.85784375
transcript.pyannote[48].end 2109.69284375
transcript.pyannote[49].speaker SPEAKER_17
transcript.pyannote[49].start 2111.09346875
transcript.pyannote[49].end 2115.07596875
transcript.pyannote[50].speaker SPEAKER_17
transcript.pyannote[50].start 2115.49784375
transcript.pyannote[50].end 2117.18534375
transcript.pyannote[51].speaker SPEAKER_17
transcript.pyannote[51].start 2118.95721875
transcript.pyannote[51].end 2119.46346875
transcript.pyannote[52].speaker SPEAKER_17
transcript.pyannote[52].start 2120.74596875
transcript.pyannote[52].end 2129.63909375
transcript.pyannote[53].speaker SPEAKER_10
transcript.pyannote[53].start 2136.70971875
transcript.pyannote[53].end 2140.28721875
transcript.pyannote[54].speaker SPEAKER_10
transcript.pyannote[54].start 2140.74284375
transcript.pyannote[54].end 2141.63721875
transcript.pyannote[55].speaker SPEAKER_10
transcript.pyannote[55].start 2142.09284375
transcript.pyannote[55].end 2142.83534375
transcript.pyannote[56].speaker SPEAKER_10
transcript.pyannote[56].start 2143.74659375
transcript.pyannote[56].end 2146.02471875
transcript.pyannote[57].speaker SPEAKER_10
transcript.pyannote[57].start 2146.61534375
transcript.pyannote[57].end 2155.03596875
transcript.pyannote[58].speaker SPEAKER_10
transcript.pyannote[58].start 2155.98096875
transcript.pyannote[58].end 2159.20409375
transcript.pyannote[59].speaker SPEAKER_10
transcript.pyannote[59].start 2159.87909375
transcript.pyannote[59].end 2163.23721875
transcript.pyannote[60].speaker SPEAKER_10
transcript.pyannote[60].start 2163.91221875
transcript.pyannote[60].end 2169.83534375
transcript.pyannote[61].speaker SPEAKER_10
transcript.pyannote[61].start 2170.29096875
transcript.pyannote[61].end 2196.19409375
transcript.pyannote[62].speaker SPEAKER_10
transcript.pyannote[62].start 2196.80159375
transcript.pyannote[62].end 2200.53096875
transcript.pyannote[63].speaker SPEAKER_10
transcript.pyannote[63].start 2201.18909375
transcript.pyannote[63].end 2214.04784375
transcript.pyannote[64].speaker SPEAKER_10
transcript.pyannote[64].start 2214.09846875
transcript.pyannote[64].end 2215.04346875
transcript.pyannote[65].speaker SPEAKER_10
transcript.pyannote[65].start 2215.17846875
transcript.pyannote[65].end 2218.43534375
transcript.pyannote[66].speaker SPEAKER_10
transcript.pyannote[66].start 2218.78971875
transcript.pyannote[66].end 2219.46471875
transcript.pyannote[67].speaker SPEAKER_10
transcript.pyannote[67].start 2219.59971875
transcript.pyannote[67].end 2220.08909375
transcript.pyannote[68].speaker SPEAKER_10
transcript.pyannote[68].start 2220.52784375
transcript.pyannote[68].end 2221.67534375
transcript.pyannote[69].speaker SPEAKER_10
transcript.pyannote[69].start 2222.87346875
transcript.pyannote[69].end 2240.03534375
transcript.pyannote[70].speaker SPEAKER_10
transcript.pyannote[70].start 2240.30534375
transcript.pyannote[70].end 2243.32596875
transcript.pyannote[71].speaker SPEAKER_10
transcript.pyannote[71].start 2244.00096875
transcript.pyannote[71].end 2245.35096875
transcript.pyannote[72].speaker SPEAKER_10
transcript.pyannote[72].start 2245.75596875
transcript.pyannote[72].end 2246.12721875
transcript.pyannote[73].speaker SPEAKER_10
transcript.pyannote[73].start 2246.29596875
transcript.pyannote[73].end 2247.40971875
transcript.pyannote[74].speaker SPEAKER_10
transcript.pyannote[74].start 2247.49409375
transcript.pyannote[74].end 2248.11846875
transcript.pyannote[75].speaker SPEAKER_10
transcript.pyannote[75].start 2248.28721875
transcript.pyannote[75].end 2252.40471875
transcript.pyannote[76].speaker SPEAKER_10
transcript.pyannote[76].start 2252.67471875
transcript.pyannote[76].end 2264.62221875
transcript.pyannote[77].speaker SPEAKER_10
transcript.pyannote[77].start 2264.68971875
transcript.pyannote[77].end 2290.81221875
transcript.pyannote[78].speaker SPEAKER_10
transcript.pyannote[78].start 2291.09909375
transcript.pyannote[78].end 2307.38346875
transcript.pyannote[79].speaker SPEAKER_10
transcript.pyannote[79].start 2307.94034375
transcript.pyannote[79].end 2371.66034375
transcript.pyannote[80].speaker SPEAKER_10
transcript.pyannote[80].start 2371.87971875
transcript.pyannote[80].end 2372.45346875
transcript.pyannote[81].speaker SPEAKER_10
transcript.pyannote[81].start 2372.79096875
transcript.pyannote[81].end 2376.48659375
transcript.pyannote[82].speaker SPEAKER_10
transcript.pyannote[82].start 2377.24596875
transcript.pyannote[82].end 2378.78159375
transcript.pyannote[83].speaker SPEAKER_10
transcript.pyannote[83].start 2379.06846875
transcript.pyannote[83].end 2380.04721875
transcript.pyannote[84].speaker SPEAKER_10
transcript.pyannote[84].start 2380.41846875
transcript.pyannote[84].end 2429.03534375
transcript.pyannote[85].speaker SPEAKER_10
transcript.pyannote[85].start 2429.42346875
transcript.pyannote[85].end 2454.98909375
transcript.pyannote[86].speaker SPEAKER_17
transcript.pyannote[86].start 2455.25909375
transcript.pyannote[86].end 2461.43534375
transcript.pyannote[87].speaker SPEAKER_14
transcript.pyannote[87].start 2467.98284375
transcript.pyannote[87].end 2484.21659375
transcript.pyannote[88].speaker SPEAKER_14
transcript.pyannote[88].start 2484.35159375
transcript.pyannote[88].end 2498.89784375
transcript.pyannote[89].speaker SPEAKER_14
transcript.pyannote[89].start 2498.96534375
transcript.pyannote[89].end 2565.03096875
transcript.pyannote[90].speaker SPEAKER_14
transcript.pyannote[90].start 2565.13221875
transcript.pyannote[90].end 2569.77284375
transcript.pyannote[91].speaker SPEAKER_14
transcript.pyannote[91].start 2570.05971875
transcript.pyannote[91].end 2589.26346875
transcript.pyannote[92].speaker SPEAKER_14
transcript.pyannote[92].start 2590.91721875
transcript.pyannote[92].end 2604.48471875
transcript.pyannote[93].speaker SPEAKER_14
transcript.pyannote[93].start 2605.04159375
transcript.pyannote[93].end 2615.08221875
transcript.pyannote[94].speaker SPEAKER_14
transcript.pyannote[94].start 2615.25096875
transcript.pyannote[94].end 2634.97784375
transcript.pyannote[95].speaker SPEAKER_14
transcript.pyannote[95].start 2636.24346875
transcript.pyannote[95].end 2636.71596875
transcript.pyannote[96].speaker SPEAKER_14
transcript.pyannote[96].start 2637.81284375
transcript.pyannote[96].end 2698.05659375
transcript.pyannote[97].speaker SPEAKER_14
transcript.pyannote[97].start 2698.54596875
transcript.pyannote[97].end 2713.64909375
transcript.pyannote[98].speaker SPEAKER_14
transcript.pyannote[98].start 2714.15534375
transcript.pyannote[98].end 2741.76284375
transcript.pyannote[99].speaker SPEAKER_14
transcript.pyannote[99].start 2742.08346875
transcript.pyannote[99].end 2746.84221875
transcript.pyannote[100].speaker SPEAKER_14
transcript.pyannote[100].start 2747.02784375
transcript.pyannote[100].end 2774.71971875
transcript.pyannote[101].speaker SPEAKER_14
transcript.pyannote[101].start 2774.85471875
transcript.pyannote[101].end 2785.24971875
transcript.pyannote[102].speaker SPEAKER_14
transcript.pyannote[102].start 2785.33409375
transcript.pyannote[102].end 2785.95846875
transcript.pyannote[103].speaker SPEAKER_14
transcript.pyannote[103].start 2786.97096875
transcript.pyannote[103].end 2829.47909375
transcript.pyannote[104].speaker SPEAKER_17
transcript.pyannote[104].start 2830.42409375
transcript.pyannote[104].end 2831.47034375
transcript.pyannote[105].speaker SPEAKER_17
transcript.pyannote[105].start 2831.58846875
transcript.pyannote[105].end 2832.85409375
transcript.pyannote[106].speaker SPEAKER_17
transcript.pyannote[106].start 2833.57971875
transcript.pyannote[106].end 2859.88784375
transcript.pyannote[107].speaker SPEAKER_21
transcript.pyannote[107].start 2867.93721875
transcript.pyannote[107].end 2873.33721875
transcript.pyannote[108].speaker SPEAKER_17
transcript.pyannote[108].start 2873.33721875
transcript.pyannote[108].end 2873.96159375
transcript.pyannote[109].speaker SPEAKER_21
transcript.pyannote[109].start 2882.36534375
transcript.pyannote[109].end 2935.75784375
transcript.pyannote[110].speaker SPEAKER_12
transcript.pyannote[110].start 2883.44534375
transcript.pyannote[110].end 2883.78284375
transcript.pyannote[111].speaker SPEAKER_21
transcript.pyannote[111].start 2935.85909375
transcript.pyannote[111].end 2935.96034375
transcript.pyannote[112].speaker SPEAKER_10
transcript.pyannote[112].start 2935.96034375
transcript.pyannote[112].end 2936.12909375
transcript.pyannote[113].speaker SPEAKER_21
transcript.pyannote[113].start 2936.12909375
transcript.pyannote[113].end 2937.22596875
transcript.pyannote[114].speaker SPEAKER_10
transcript.pyannote[114].start 2936.34846875
transcript.pyannote[114].end 2970.65534375
transcript.pyannote[115].speaker SPEAKER_21
transcript.pyannote[115].start 2963.12909375
transcript.pyannote[115].end 2963.34846875
transcript.pyannote[116].speaker SPEAKER_21
transcript.pyannote[116].start 2971.00971875
transcript.pyannote[116].end 2983.83471875
transcript.pyannote[117].speaker SPEAKER_10
transcript.pyannote[117].start 2983.78409375
transcript.pyannote[117].end 2986.04534375
transcript.pyannote[118].speaker SPEAKER_21
transcript.pyannote[118].start 2983.93596875
transcript.pyannote[118].end 2985.38721875
transcript.pyannote[119].speaker SPEAKER_21
transcript.pyannote[119].start 2986.02846875
transcript.pyannote[119].end 2989.04909375
transcript.pyannote[120].speaker SPEAKER_14
transcript.pyannote[120].start 2990.34846875
transcript.pyannote[120].end 3012.13409375
transcript.pyannote[121].speaker SPEAKER_21
transcript.pyannote[121].start 3012.13409375
transcript.pyannote[121].end 3012.16784375
transcript.pyannote[122].speaker SPEAKER_21
transcript.pyannote[122].start 3012.18471875
transcript.pyannote[122].end 3012.20159375
transcript.pyannote[123].speaker SPEAKER_21
transcript.pyannote[123].start 3012.21846875
transcript.pyannote[123].end 3074.85846875
transcript.pyannote[124].speaker SPEAKER_14
transcript.pyannote[124].start 3074.85846875
transcript.pyannote[124].end 3109.38471875
transcript.pyannote[125].speaker SPEAKER_12
transcript.pyannote[125].start 3085.38846875
transcript.pyannote[125].end 3085.74284375
transcript.pyannote[126].speaker SPEAKER_14
transcript.pyannote[126].start 3109.51971875
transcript.pyannote[126].end 3134.81534375
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 3126.22596875
transcript.pyannote[127].end 3127.17096875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 3127.17096875
transcript.pyannote[128].end 3127.22159375
transcript.pyannote[129].speaker SPEAKER_21
transcript.pyannote[129].start 3134.81534375
transcript.pyannote[129].end 3171.50159375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 3149.56409375
transcript.pyannote[130].end 3149.91846875
transcript.pyannote[131].speaker SPEAKER_14
transcript.pyannote[131].start 3167.02971875
transcript.pyannote[131].end 3168.02534375
transcript.pyannote[132].speaker SPEAKER_14
transcript.pyannote[132].start 3170.59034375
transcript.pyannote[132].end 3223.18971875
transcript.pyannote[133].speaker SPEAKER_21
transcript.pyannote[133].start 3223.44284375
transcript.pyannote[133].end 3244.31721875
transcript.pyannote[134].speaker SPEAKER_17
transcript.pyannote[134].start 3244.57034375
transcript.pyannote[134].end 3248.56971875
transcript.pyannote[135].speaker SPEAKER_19
transcript.pyannote[135].start 3259.58909375
transcript.pyannote[135].end 3262.18784375
transcript.pyannote[136].speaker SPEAKER_17
transcript.pyannote[136].start 3262.33971875
transcript.pyannote[136].end 3263.11596875
transcript.pyannote[137].speaker SPEAKER_17
transcript.pyannote[137].start 3263.52096875
transcript.pyannote[137].end 3263.92596875
transcript.pyannote[138].speaker SPEAKER_19
transcript.pyannote[138].start 3270.86159375
transcript.pyannote[138].end 3292.68096875
transcript.pyannote[139].speaker SPEAKER_10
transcript.pyannote[139].start 3271.50284375
transcript.pyannote[139].end 3271.68846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 3271.68846875
transcript.pyannote[140].end 3271.87409375
transcript.pyannote[141].speaker SPEAKER_19
transcript.pyannote[141].start 3293.08596875
transcript.pyannote[141].end 3325.48596875
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 3326.05971875
transcript.pyannote[142].end 3328.47284375
transcript.pyannote[143].speaker SPEAKER_10
transcript.pyannote[143].start 3328.67534375
transcript.pyannote[143].end 3330.86909375
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 3331.62846875
transcript.pyannote[144].end 3368.28096875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 3336.96096875
transcript.pyannote[145].end 3337.02846875
transcript.pyannote[146].speaker SPEAKER_12
transcript.pyannote[146].start 3337.02846875
transcript.pyannote[146].end 3337.46721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 3337.46721875
transcript.pyannote[147].end 3337.50096875
transcript.pyannote[148].speaker SPEAKER_12
transcript.pyannote[148].start 3351.86159375
transcript.pyannote[148].end 3352.48596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 3352.48596875
transcript.pyannote[149].end 3352.50284375
transcript.pyannote[150].speaker SPEAKER_19
transcript.pyannote[150].start 3368.28096875
transcript.pyannote[150].end 3380.56596875
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 3381.76409375
transcript.pyannote[151].end 3382.20284375
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 3383.75534375
transcript.pyannote[152].end 3396.58034375
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 3397.01909375
transcript.pyannote[153].end 3397.84596875
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 3397.96409375
transcript.pyannote[154].end 3398.48721875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 3399.21284375
transcript.pyannote[155].end 3412.59471875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 3405.82784375
transcript.pyannote[156].end 3405.84471875
transcript.pyannote[157].speaker SPEAKER_12
transcript.pyannote[157].start 3405.84471875
transcript.pyannote[157].end 3405.86159375
transcript.pyannote[158].speaker SPEAKER_19
transcript.pyannote[158].start 3405.86159375
transcript.pyannote[158].end 3406.51971875
transcript.pyannote[159].speaker SPEAKER_12
transcript.pyannote[159].start 3407.85284375
transcript.pyannote[159].end 3407.88659375
transcript.pyannote[160].speaker SPEAKER_19
transcript.pyannote[160].start 3407.88659375
transcript.pyannote[160].end 3408.66284375
transcript.pyannote[161].speaker SPEAKER_19
transcript.pyannote[161].start 3412.78034375
transcript.pyannote[161].end 3452.18346875
transcript.pyannote[162].speaker SPEAKER_10
transcript.pyannote[162].start 3451.79534375
transcript.pyannote[162].end 3452.26784375
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 3452.41971875
transcript.pyannote[163].end 3466.83096875
transcript.pyannote[164].speaker SPEAKER_12
transcript.pyannote[164].start 3462.83159375
transcript.pyannote[164].end 3462.84846875
transcript.pyannote[165].speaker SPEAKER_19
transcript.pyannote[165].start 3462.84846875
transcript.pyannote[165].end 3463.42221875
transcript.pyannote[166].speaker SPEAKER_10
transcript.pyannote[166].start 3467.06721875
transcript.pyannote[166].end 3469.90221875
transcript.pyannote[167].speaker SPEAKER_19
transcript.pyannote[167].start 3469.85159375
transcript.pyannote[167].end 3469.88534375
transcript.pyannote[168].speaker SPEAKER_19
transcript.pyannote[168].start 3469.90221875
transcript.pyannote[168].end 3485.61284375
transcript.pyannote[169].speaker SPEAKER_19
transcript.pyannote[169].start 3486.05159375
transcript.pyannote[169].end 3486.52409375
transcript.pyannote[170].speaker SPEAKER_19
transcript.pyannote[170].start 3486.87846875
transcript.pyannote[170].end 3487.57034375
transcript.pyannote[171].speaker SPEAKER_19
transcript.pyannote[171].start 3488.32971875
transcript.pyannote[171].end 3500.29409375
transcript.pyannote[172].speaker SPEAKER_19
transcript.pyannote[172].start 3500.73284375
transcript.pyannote[172].end 3504.90096875
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 3505.74471875
transcript.pyannote[173].end 3510.70596875
transcript.pyannote[174].speaker SPEAKER_19
transcript.pyannote[174].start 3510.97596875
transcript.pyannote[174].end 3513.33846875
transcript.pyannote[175].speaker SPEAKER_19
transcript.pyannote[175].start 3514.41846875
transcript.pyannote[175].end 3514.87409375
transcript.pyannote[176].speaker SPEAKER_10
transcript.pyannote[176].start 3515.44784375
transcript.pyannote[176].end 3515.68409375
transcript.pyannote[177].speaker SPEAKER_19
transcript.pyannote[177].start 3515.68409375
transcript.pyannote[177].end 3515.71784375
transcript.pyannote[178].speaker SPEAKER_19
transcript.pyannote[178].start 3515.97096875
transcript.pyannote[178].end 3516.24096875
transcript.pyannote[179].speaker SPEAKER_19
transcript.pyannote[179].start 3516.81471875
transcript.pyannote[179].end 3517.28721875
transcript.pyannote[180].speaker SPEAKER_19
transcript.pyannote[180].start 3517.89471875
transcript.pyannote[180].end 3529.21784375
transcript.pyannote[181].speaker SPEAKER_19
transcript.pyannote[181].start 3529.43721875
transcript.pyannote[181].end 3533.72346875
transcript.pyannote[182].speaker SPEAKER_19
transcript.pyannote[182].start 3542.02596875
transcript.pyannote[182].end 3543.19034375
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 3543.69659375
transcript.pyannote[183].end 3557.48346875
transcript.pyannote[184].speaker SPEAKER_19
transcript.pyannote[184].start 3557.71971875
transcript.pyannote[184].end 3565.90409375
transcript.pyannote[185].speaker SPEAKER_14
transcript.pyannote[185].start 3565.41471875
transcript.pyannote[185].end 3581.09159375
transcript.pyannote[186].speaker SPEAKER_19
transcript.pyannote[186].start 3575.80971875
transcript.pyannote[186].end 3576.18096875
transcript.pyannote[187].speaker SPEAKER_19
transcript.pyannote[187].start 3579.20159375
transcript.pyannote[187].end 3579.58971875
transcript.pyannote[188].speaker SPEAKER_19
transcript.pyannote[188].start 3580.99034375
transcript.pyannote[188].end 3592.80284375
transcript.pyannote[189].speaker SPEAKER_19
transcript.pyannote[189].start 3593.61284375
transcript.pyannote[189].end 3603.21471875
transcript.pyannote[190].speaker SPEAKER_19
transcript.pyannote[190].start 3603.33284375
transcript.pyannote[190].end 3618.92534375
transcript.pyannote[191].speaker SPEAKER_14
transcript.pyannote[191].start 3618.63846875
transcript.pyannote[191].end 3628.84784375
transcript.pyannote[192].speaker SPEAKER_19
transcript.pyannote[192].start 3627.44721875
transcript.pyannote[192].end 3647.10659375
transcript.pyannote[193].speaker SPEAKER_14
transcript.pyannote[193].start 3647.10659375
transcript.pyannote[193].end 3652.35471875
transcript.pyannote[194].speaker SPEAKER_14
transcript.pyannote[194].start 3652.86096875
transcript.pyannote[194].end 3654.59909375
transcript.pyannote[195].speaker SPEAKER_14
transcript.pyannote[195].start 3654.86909375
transcript.pyannote[195].end 3657.01221875
transcript.pyannote[196].speaker SPEAKER_14
transcript.pyannote[196].start 3657.19784375
transcript.pyannote[196].end 3672.79034375
transcript.pyannote[197].speaker SPEAKER_19
transcript.pyannote[197].start 3672.70596875
transcript.pyannote[197].end 3686.05409375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 3683.82659375
transcript.pyannote[198].end 3684.02909375
transcript.pyannote[199].speaker SPEAKER_17
transcript.pyannote[199].start 3684.02909375
transcript.pyannote[199].end 3691.99409375
transcript.pyannote[200].speaker SPEAKER_07
transcript.pyannote[200].start 3702.67596875
transcript.pyannote[200].end 3704.92034375
transcript.pyannote[201].speaker SPEAKER_17
transcript.pyannote[201].start 3705.57846875
transcript.pyannote[201].end 3706.42221875
transcript.pyannote[202].speaker SPEAKER_07
transcript.pyannote[202].start 3716.85096875
transcript.pyannote[202].end 3719.19659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 3718.40346875
transcript.pyannote[203].end 3718.92659375
transcript.pyannote[204].speaker SPEAKER_12
transcript.pyannote[204].start 3718.92659375
transcript.pyannote[204].end 3718.96034375
transcript.pyannote[205].speaker SPEAKER_07
transcript.pyannote[205].start 3719.43284375
transcript.pyannote[205].end 3734.65409375
transcript.pyannote[206].speaker SPEAKER_07
transcript.pyannote[206].start 3735.05909375
transcript.pyannote[206].end 3761.80596875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 3737.55659375
transcript.pyannote[207].end 3737.75909375
transcript.pyannote[208].speaker SPEAKER_07
transcript.pyannote[208].start 3762.58221875
transcript.pyannote[208].end 3769.31534375
transcript.pyannote[209].speaker SPEAKER_10
transcript.pyannote[209].start 3770.93534375
transcript.pyannote[209].end 3771.20534375
transcript.pyannote[210].speaker SPEAKER_10
transcript.pyannote[210].start 3771.79596875
transcript.pyannote[210].end 3773.97284375
transcript.pyannote[211].speaker SPEAKER_07
transcript.pyannote[211].start 3774.85034375
transcript.pyannote[211].end 3776.09909375
transcript.pyannote[212].speaker SPEAKER_10
transcript.pyannote[212].start 3776.53784375
transcript.pyannote[212].end 3776.82471875
transcript.pyannote[213].speaker SPEAKER_07
transcript.pyannote[213].start 3776.94284375
transcript.pyannote[213].end 3791.72534375
transcript.pyannote[214].speaker SPEAKER_07
transcript.pyannote[214].start 3792.63659375
transcript.pyannote[214].end 3796.24784375
transcript.pyannote[215].speaker SPEAKER_12
transcript.pyannote[215].start 3795.77534375
transcript.pyannote[215].end 3796.36596875
transcript.pyannote[216].speaker SPEAKER_07
transcript.pyannote[216].start 3796.36596875
transcript.pyannote[216].end 3831.63471875
transcript.pyannote[217].speaker SPEAKER_10
transcript.pyannote[217].start 3833.67659375
transcript.pyannote[217].end 3843.32909375
transcript.pyannote[218].speaker SPEAKER_07
transcript.pyannote[218].start 3841.16909375
transcript.pyannote[218].end 3841.18596875
transcript.pyannote[219].speaker SPEAKER_08
transcript.pyannote[219].start 3841.18596875
transcript.pyannote[219].end 3842.65409375
transcript.pyannote[220].speaker SPEAKER_08
transcript.pyannote[220].start 3843.54846875
transcript.pyannote[220].end 3843.88596875
transcript.pyannote[221].speaker SPEAKER_08
transcript.pyannote[221].start 3844.69596875
transcript.pyannote[221].end 3864.27096875
transcript.pyannote[222].speaker SPEAKER_07
transcript.pyannote[222].start 3863.32596875
transcript.pyannote[222].end 3877.14659375
transcript.pyannote[223].speaker SPEAKER_08
transcript.pyannote[223].start 3866.22846875
transcript.pyannote[223].end 3870.64971875
transcript.pyannote[224].speaker SPEAKER_08
transcript.pyannote[224].start 3875.91471875
transcript.pyannote[224].end 3902.34096875
transcript.pyannote[225].speaker SPEAKER_07
transcript.pyannote[225].start 3897.83534375
transcript.pyannote[225].end 3932.47971875
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 3933.42471875
transcript.pyannote[226].end 3937.03596875
transcript.pyannote[227].speaker SPEAKER_07
transcript.pyannote[227].start 3934.03221875
transcript.pyannote[227].end 3939.14534375
transcript.pyannote[228].speaker SPEAKER_08
transcript.pyannote[228].start 3937.03596875
transcript.pyannote[228].end 3956.13846875
transcript.pyannote[229].speaker SPEAKER_07
transcript.pyannote[229].start 3942.03096875
transcript.pyannote[229].end 3945.20346875
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 3948.20721875
transcript.pyannote[230].end 3949.13534375
transcript.pyannote[231].speaker SPEAKER_07
transcript.pyannote[231].start 3955.19346875
transcript.pyannote[231].end 3964.13721875
transcript.pyannote[232].speaker SPEAKER_08
transcript.pyannote[232].start 3957.87659375
transcript.pyannote[232].end 3962.90534375
transcript.pyannote[233].speaker SPEAKER_08
transcript.pyannote[233].start 3963.63096875
transcript.pyannote[233].end 3969.77346875
transcript.pyannote[234].speaker SPEAKER_07
transcript.pyannote[234].start 3967.37721875
transcript.pyannote[234].end 4040.73284375
transcript.pyannote[235].speaker SPEAKER_12
transcript.pyannote[235].start 4010.08784375
transcript.pyannote[235].end 4010.61096875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 4010.61096875
transcript.pyannote[236].end 4010.67846875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 4018.87971875
transcript.pyannote[237].end 4020.39846875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 4028.17784375
transcript.pyannote[238].end 4028.38034375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 4029.52784375
transcript.pyannote[239].end 4029.94971875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 4037.12159375
transcript.pyannote[240].end 4037.37471875
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 4040.88471875
transcript.pyannote[241].end 4044.74909375
transcript.pyannote[242].speaker SPEAKER_07
transcript.pyannote[242].start 4044.90096875
transcript.pyannote[242].end 4050.40221875
transcript.pyannote[243].speaker SPEAKER_10
transcript.pyannote[243].start 4048.83284375
transcript.pyannote[243].end 4062.24846875
transcript.pyannote[244].speaker SPEAKER_07
transcript.pyannote[244].start 4051.75221875
transcript.pyannote[244].end 4052.64659375
transcript.pyannote[245].speaker SPEAKER_07
transcript.pyannote[245].start 4056.03846875
transcript.pyannote[245].end 4056.42659375
transcript.pyannote[246].speaker SPEAKER_07
transcript.pyannote[246].start 4061.57346875
transcript.pyannote[246].end 4061.87721875
transcript.pyannote[247].speaker SPEAKER_07
transcript.pyannote[247].start 4062.26534375
transcript.pyannote[247].end 4091.84721875
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 4090.86846875
transcript.pyannote[248].end 4093.78784375
transcript.pyannote[249].speaker SPEAKER_07
transcript.pyannote[249].start 4093.06221875
transcript.pyannote[249].end 4101.66846875
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 4096.01534375
transcript.pyannote[250].end 4096.53846875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 4097.26409375
transcript.pyannote[251].end 4097.28096875
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 4097.68596875
transcript.pyannote[252].end 4097.93909375
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 4099.45784375
transcript.pyannote[253].end 4104.45284375
transcript.pyannote[254].speaker SPEAKER_17
transcript.pyannote[254].start 4105.09409375
transcript.pyannote[254].end 4106.46096875
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 4106.05596875
transcript.pyannote[255].end 4109.43096875
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 4106.46096875
transcript.pyannote[256].end 4107.16971875
transcript.pyannote[257].speaker SPEAKER_07
transcript.pyannote[257].start 4107.77721875
transcript.pyannote[257].end 4114.47659375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 4113.31221875
transcript.pyannote[258].end 4115.91096875
transcript.pyannote[259].speaker SPEAKER_07
transcript.pyannote[259].start 4114.84784375
transcript.pyannote[259].end 4160.69721875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 4156.41096875
transcript.pyannote[260].end 4156.56284375
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 4156.56284375
transcript.pyannote[261].end 4156.73159375
transcript.pyannote[262].speaker SPEAKER_12
transcript.pyannote[262].start 4156.73159375
transcript.pyannote[262].end 4156.74846875
transcript.pyannote[263].speaker SPEAKER_10
transcript.pyannote[263].start 4156.74846875
transcript.pyannote[263].end 4156.78221875
transcript.pyannote[264].speaker SPEAKER_12
transcript.pyannote[264].start 4156.78221875
transcript.pyannote[264].end 4156.81596875
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 4156.81596875
transcript.pyannote[265].end 4156.83284375
transcript.pyannote[266].speaker SPEAKER_12
transcript.pyannote[266].start 4156.83284375
transcript.pyannote[266].end 4156.84971875
transcript.pyannote[267].speaker SPEAKER_10
transcript.pyannote[267].start 4156.84971875
transcript.pyannote[267].end 4157.08596875
transcript.pyannote[268].speaker SPEAKER_07
transcript.pyannote[268].start 4161.54096875
transcript.pyannote[268].end 4162.97534375
transcript.pyannote[269].speaker SPEAKER_10
transcript.pyannote[269].start 4161.59159375
transcript.pyannote[269].end 4161.60846875
transcript.pyannote[270].speaker SPEAKER_10
transcript.pyannote[270].start 4161.62534375
transcript.pyannote[270].end 4161.65909375
transcript.pyannote[271].speaker SPEAKER_10
transcript.pyannote[271].start 4162.26659375
transcript.pyannote[271].end 4164.62909375
transcript.pyannote[272].speaker SPEAKER_10
transcript.pyannote[272].start 4165.13534375
transcript.pyannote[272].end 4171.66596875
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 4168.74659375
transcript.pyannote[273].end 4170.94034375
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 4171.59846875
transcript.pyannote[274].end 4181.75721875
transcript.pyannote[275].speaker SPEAKER_10
transcript.pyannote[275].start 4172.83034375
transcript.pyannote[275].end 4172.93159375
transcript.pyannote[276].speaker SPEAKER_17
transcript.pyannote[276].start 4181.08221875
transcript.pyannote[276].end 4183.95096875
transcript.pyannote[277].speaker SPEAKER_07
transcript.pyannote[277].start 4183.51221875
transcript.pyannote[277].end 4192.18596875
transcript.pyannote[278].speaker SPEAKER_17
transcript.pyannote[278].start 4186.58346875
transcript.pyannote[278].end 4186.90409375
transcript.pyannote[279].speaker SPEAKER_17
transcript.pyannote[279].start 4190.09346875
transcript.pyannote[279].end 4190.11034375
transcript.pyannote[280].speaker SPEAKER_10
transcript.pyannote[280].start 4190.11034375
transcript.pyannote[280].end 4191.05534375
transcript.pyannote[281].speaker SPEAKER_10
transcript.pyannote[281].start 4192.57409375
transcript.pyannote[281].end 4201.28159375
transcript.pyannote[282].speaker SPEAKER_07
transcript.pyannote[282].start 4193.02971875
transcript.pyannote[282].end 4193.33346875
transcript.pyannote[283].speaker SPEAKER_07
transcript.pyannote[283].start 4194.29534375
transcript.pyannote[283].end 4194.37971875
transcript.pyannote[284].speaker SPEAKER_07
transcript.pyannote[284].start 4196.52284375
transcript.pyannote[284].end 4198.56471875
transcript.pyannote[285].speaker SPEAKER_07
transcript.pyannote[285].start 4199.40846875
transcript.pyannote[285].end 4206.83346875
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 4203.57659375
transcript.pyannote[286].end 4203.79596875
transcript.pyannote[287].speaker SPEAKER_10
transcript.pyannote[287].start 4204.75784375
transcript.pyannote[287].end 4210.42784375
transcript.pyannote[288].speaker SPEAKER_17
transcript.pyannote[288].start 4210.15784375
transcript.pyannote[288].end 4211.82846875
transcript.pyannote[289].speaker SPEAKER_07
transcript.pyannote[289].start 4210.95096875
transcript.pyannote[289].end 4214.39346875
transcript.pyannote[290].speaker SPEAKER_17
transcript.pyannote[290].start 4212.73971875
transcript.pyannote[290].end 4212.75659375
transcript.pyannote[291].speaker SPEAKER_10
transcript.pyannote[291].start 4212.75659375
transcript.pyannote[291].end 4218.27471875
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 4215.35534375
transcript.pyannote[292].end 4228.92284375
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 4228.50096875
transcript.pyannote[293].end 4239.46971875
transcript.pyannote[294].speaker SPEAKER_07
transcript.pyannote[294].start 4229.56409375
transcript.pyannote[294].end 4229.59784375
transcript.pyannote[295].speaker SPEAKER_07
transcript.pyannote[295].start 4233.39471875
transcript.pyannote[295].end 4238.82846875
transcript.pyannote[296].speaker SPEAKER_12
transcript.pyannote[296].start 4238.82846875
transcript.pyannote[296].end 4238.87909375
transcript.pyannote[297].speaker SPEAKER_07
transcript.pyannote[297].start 4238.87909375
transcript.pyannote[297].end 4239.03096875
transcript.pyannote[298].speaker SPEAKER_12
transcript.pyannote[298].start 4239.03096875
transcript.pyannote[298].end 4239.82409375
transcript.pyannote[299].speaker SPEAKER_07
transcript.pyannote[299].start 4239.46971875
transcript.pyannote[299].end 4239.65534375
transcript.pyannote[300].speaker SPEAKER_07
transcript.pyannote[300].start 4239.79034375
transcript.pyannote[300].end 4277.11784375
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 4239.82409375
transcript.pyannote[301].end 4240.38096875
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 4243.26659375
transcript.pyannote[302].end 4244.21159375
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 4244.43096875
transcript.pyannote[303].end 4245.52784375
transcript.pyannote[304].speaker SPEAKER_12
transcript.pyannote[304].start 4245.52784375
transcript.pyannote[304].end 4245.71346875
transcript.pyannote[305].speaker SPEAKER_12
transcript.pyannote[305].start 4245.93284375
transcript.pyannote[305].end 4245.96659375
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 4263.58409375
transcript.pyannote[306].end 4264.56284375
transcript.pyannote[307].speaker SPEAKER_12
transcript.pyannote[307].start 4265.17034375
transcript.pyannote[307].end 4265.47409375
transcript.pyannote[308].speaker SPEAKER_07
transcript.pyannote[308].start 4277.92784375
transcript.pyannote[308].end 4278.50159375
transcript.pyannote[309].speaker SPEAKER_07
transcript.pyannote[309].start 4278.95721875
transcript.pyannote[309].end 4281.50534375
transcript.pyannote[310].speaker SPEAKER_12
transcript.pyannote[310].start 4279.17659375
transcript.pyannote[310].end 4279.24409375
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 4279.24409375
transcript.pyannote[311].end 4279.78409375
transcript.pyannote[312].speaker SPEAKER_10
transcript.pyannote[312].start 4282.68659375
transcript.pyannote[312].end 4282.78784375
transcript.pyannote[313].speaker SPEAKER_07
transcript.pyannote[313].start 4282.78784375
transcript.pyannote[313].end 4283.88471875
transcript.pyannote[314].speaker SPEAKER_10
transcript.pyannote[314].start 4282.80471875
transcript.pyannote[314].end 4283.34471875
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 4283.73284375
transcript.pyannote[315].end 4286.14596875
transcript.pyannote[316].speaker SPEAKER_07
transcript.pyannote[316].start 4284.64409375
transcript.pyannote[316].end 4284.99846875
transcript.pyannote[317].speaker SPEAKER_07
transcript.pyannote[317].start 4285.28534375
transcript.pyannote[317].end 4290.90471875
transcript.pyannote[318].speaker SPEAKER_10
transcript.pyannote[318].start 4286.82096875
transcript.pyannote[318].end 4287.32721875
transcript.pyannote[319].speaker SPEAKER_15
transcript.pyannote[319].start 4287.32721875
transcript.pyannote[319].end 4287.37784375
transcript.pyannote[320].speaker SPEAKER_15
transcript.pyannote[320].start 4288.28909375
transcript.pyannote[320].end 4289.28471875
transcript.pyannote[321].speaker SPEAKER_15
transcript.pyannote[321].start 4289.70659375
transcript.pyannote[321].end 4292.50784375
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 4291.98471875
transcript.pyannote[322].end 4293.60471875
transcript.pyannote[323].speaker SPEAKER_15
transcript.pyannote[323].start 4293.60471875
transcript.pyannote[323].end 4296.81096875
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 4295.61284375
transcript.pyannote[324].end 4297.06409375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 4297.70534375
transcript.pyannote[325].end 4301.60346875
transcript.pyannote[326].speaker SPEAKER_07
transcript.pyannote[326].start 4301.60346875
transcript.pyannote[326].end 4324.97534375
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 4301.62034375
transcript.pyannote[327].end 4302.04221875
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 4307.12159375
transcript.pyannote[328].end 4308.97784375
transcript.pyannote[329].speaker SPEAKER_12
transcript.pyannote[329].start 4308.97784375
transcript.pyannote[329].end 4309.95659375
transcript.pyannote[330].speaker SPEAKER_17
transcript.pyannote[330].start 4321.02659375
transcript.pyannote[330].end 4322.98409375
transcript.pyannote[331].speaker SPEAKER_17
transcript.pyannote[331].start 4323.76034375
transcript.pyannote[331].end 4326.83159375
transcript.pyannote[332].speaker SPEAKER_07
transcript.pyannote[332].start 4325.17784375
transcript.pyannote[332].end 4328.90721875
transcript.pyannote[333].speaker SPEAKER_17
transcript.pyannote[333].start 4328.94096875
transcript.pyannote[333].end 4331.23596875
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 4329.51471875
transcript.pyannote[334].end 4329.85221875
transcript.pyannote[335].speaker SPEAKER_07
transcript.pyannote[335].start 4330.98284375
transcript.pyannote[335].end 4331.06721875
transcript.pyannote[336].speaker SPEAKER_07
transcript.pyannote[336].start 4331.18534375
transcript.pyannote[336].end 4331.20221875
transcript.pyannote[337].speaker SPEAKER_07
transcript.pyannote[337].start 4331.21909375
transcript.pyannote[337].end 4346.67659375
transcript.pyannote[338].speaker SPEAKER_17
transcript.pyannote[338].start 4332.70409375
transcript.pyannote[338].end 4333.31159375
transcript.pyannote[339].speaker SPEAKER_17
transcript.pyannote[339].start 4339.35284375
transcript.pyannote[339].end 4340.01096875
transcript.pyannote[340].speaker SPEAKER_17
transcript.pyannote[340].start 4343.03159375
transcript.pyannote[340].end 4346.10284375
transcript.pyannote[341].speaker SPEAKER_17
transcript.pyannote[341].start 4346.67659375
transcript.pyannote[341].end 4348.98846875
transcript.pyannote[342].speaker SPEAKER_16
transcript.pyannote[342].start 4359.92346875
transcript.pyannote[342].end 4363.55159375
transcript.pyannote[343].speaker SPEAKER_16
transcript.pyannote[343].start 4371.82034375
transcript.pyannote[343].end 4372.37721875
transcript.pyannote[344].speaker SPEAKER_16
transcript.pyannote[344].start 4372.90034375
transcript.pyannote[344].end 4375.38096875
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 4373.30534375
transcript.pyannote[345].end 4373.52471875
transcript.pyannote[346].speaker SPEAKER_16
transcript.pyannote[346].start 4376.35971875
transcript.pyannote[346].end 4376.68034375
transcript.pyannote[347].speaker SPEAKER_16
transcript.pyannote[347].start 4377.43971875
transcript.pyannote[347].end 4379.21159375
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 4377.55784375
transcript.pyannote[348].end 4378.36784375
transcript.pyannote[349].speaker SPEAKER_16
transcript.pyannote[349].start 4379.49846875
transcript.pyannote[349].end 4388.02034375
transcript.pyannote[350].speaker SPEAKER_16
transcript.pyannote[350].start 4389.10034375
transcript.pyannote[350].end 4390.77096875
transcript.pyannote[351].speaker SPEAKER_12
transcript.pyannote[351].start 4391.66534375
transcript.pyannote[351].end 4391.98596875
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 4391.73284375
transcript.pyannote[352].end 4392.93096875
transcript.pyannote[353].speaker SPEAKER_16
transcript.pyannote[353].start 4394.36534375
transcript.pyannote[353].end 4395.27659375
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 4395.98534375
transcript.pyannote[354].end 4396.96409375
transcript.pyannote[355].speaker SPEAKER_16
transcript.pyannote[355].start 4398.78659375
transcript.pyannote[355].end 4402.04346875
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 4402.04346875
transcript.pyannote[356].end 4402.83659375
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 4402.83659375
transcript.pyannote[357].end 4402.90409375
transcript.pyannote[358].speaker SPEAKER_10
transcript.pyannote[358].start 4402.90409375
transcript.pyannote[358].end 4402.93784375
transcript.pyannote[359].speaker SPEAKER_16
transcript.pyannote[359].start 4402.93784375
transcript.pyannote[359].end 4402.97159375
transcript.pyannote[360].speaker SPEAKER_10
transcript.pyannote[360].start 4402.97159375
transcript.pyannote[360].end 4410.75096875
transcript.pyannote[361].speaker SPEAKER_10
transcript.pyannote[361].start 4411.88159375
transcript.pyannote[361].end 4415.23971875
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 4414.69971875
transcript.pyannote[362].end 4415.83034375
transcript.pyannote[363].speaker SPEAKER_16
transcript.pyannote[363].start 4416.40409375
transcript.pyannote[363].end 4417.34909375
transcript.pyannote[364].speaker SPEAKER_16
transcript.pyannote[364].start 4417.93971875
transcript.pyannote[364].end 4422.37784375
transcript.pyannote[365].speaker SPEAKER_10
transcript.pyannote[365].start 4421.68596875
transcript.pyannote[365].end 4422.83346875
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 4423.08659375
transcript.pyannote[366].end 4425.75284375
transcript.pyannote[367].speaker SPEAKER_16
transcript.pyannote[367].start 4423.32284375
transcript.pyannote[367].end 4423.76159375
transcript.pyannote[368].speaker SPEAKER_16
transcript.pyannote[368].start 4424.50409375
transcript.pyannote[368].end 4429.39784375
transcript.pyannote[369].speaker SPEAKER_16
transcript.pyannote[369].start 4429.54971875
transcript.pyannote[369].end 4429.56659375
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 4429.56659375
transcript.pyannote[370].end 4431.27096875
transcript.pyannote[371].speaker SPEAKER_16
transcript.pyannote[371].start 4429.58346875
transcript.pyannote[371].end 4435.94534375
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 4433.78534375
transcript.pyannote[372].end 4434.22409375
transcript.pyannote[373].speaker SPEAKER_10
transcript.pyannote[373].start 4436.19846875
transcript.pyannote[373].end 4436.67096875
transcript.pyannote[374].speaker SPEAKER_16
transcript.pyannote[374].start 4437.02534375
transcript.pyannote[374].end 4442.62784375
transcript.pyannote[375].speaker SPEAKER_10
transcript.pyannote[375].start 4442.62784375
transcript.pyannote[375].end 4456.02659375
transcript.pyannote[376].speaker SPEAKER_16
transcript.pyannote[376].start 4444.18034375
transcript.pyannote[376].end 4444.63596875
transcript.pyannote[377].speaker SPEAKER_16
transcript.pyannote[377].start 4456.02659375
transcript.pyannote[377].end 4456.88721875
transcript.pyannote[378].speaker SPEAKER_10
transcript.pyannote[378].start 4456.88721875
transcript.pyannote[378].end 4456.97159375
transcript.pyannote[379].speaker SPEAKER_16
transcript.pyannote[379].start 4456.97159375
transcript.pyannote[379].end 4456.98846875
transcript.pyannote[380].speaker SPEAKER_10
transcript.pyannote[380].start 4456.98846875
transcript.pyannote[380].end 4457.03909375
transcript.pyannote[381].speaker SPEAKER_10
transcript.pyannote[381].start 4457.46096875
transcript.pyannote[381].end 4458.38909375
transcript.pyannote[382].speaker SPEAKER_16
transcript.pyannote[382].start 4457.49471875
transcript.pyannote[382].end 4463.04659375
transcript.pyannote[383].speaker SPEAKER_16
transcript.pyannote[383].start 4463.38409375
transcript.pyannote[383].end 4469.44221875
transcript.pyannote[384].speaker SPEAKER_16
transcript.pyannote[384].start 4470.37034375
transcript.pyannote[384].end 4470.48846875
transcript.pyannote[385].speaker SPEAKER_10
transcript.pyannote[385].start 4472.41221875
transcript.pyannote[385].end 4490.87346875
transcript.pyannote[386].speaker SPEAKER_16
transcript.pyannote[386].start 4488.35909375
transcript.pyannote[386].end 4488.59534375
transcript.pyannote[387].speaker SPEAKER_16
transcript.pyannote[387].start 4488.89909375
transcript.pyannote[387].end 4489.89471875
transcript.pyannote[388].speaker SPEAKER_16
transcript.pyannote[388].start 4490.83971875
transcript.pyannote[388].end 4499.93534375
transcript.pyannote[389].speaker SPEAKER_10
transcript.pyannote[389].start 4494.77159375
transcript.pyannote[389].end 4495.02471875
transcript.pyannote[390].speaker SPEAKER_16
transcript.pyannote[390].start 4499.95221875
transcript.pyannote[390].end 4505.01471875
transcript.pyannote[391].speaker SPEAKER_12
transcript.pyannote[391].start 4500.20534375
transcript.pyannote[391].end 4500.55971875
transcript.pyannote[392].speaker SPEAKER_16
transcript.pyannote[392].start 4505.55471875
transcript.pyannote[392].end 4507.44471875
transcript.pyannote[393].speaker SPEAKER_16
transcript.pyannote[393].start 4510.87034375
transcript.pyannote[393].end 4512.30471875
transcript.pyannote[394].speaker SPEAKER_16
transcript.pyannote[394].start 4512.55784375
transcript.pyannote[394].end 4514.85284375
transcript.pyannote[395].speaker SPEAKER_16
transcript.pyannote[395].start 4515.24096875
transcript.pyannote[395].end 4517.58659375
transcript.pyannote[396].speaker SPEAKER_14
transcript.pyannote[396].start 4518.41346875
transcript.pyannote[396].end 4518.98721875
transcript.pyannote[397].speaker SPEAKER_14
transcript.pyannote[397].start 4519.40909375
transcript.pyannote[397].end 4525.29846875
transcript.pyannote[398].speaker SPEAKER_16
transcript.pyannote[398].start 4524.15096875
transcript.pyannote[398].end 4534.71471875
transcript.pyannote[399].speaker SPEAKER_14
transcript.pyannote[399].start 4528.06596875
transcript.pyannote[399].end 4528.33596875
transcript.pyannote[400].speaker SPEAKER_14
transcript.pyannote[400].start 4530.73221875
transcript.pyannote[400].end 4531.10346875
transcript.pyannote[401].speaker SPEAKER_14
transcript.pyannote[401].start 4533.14534375
transcript.pyannote[401].end 4533.16221875
transcript.pyannote[402].speaker SPEAKER_12
transcript.pyannote[402].start 4533.16221875
transcript.pyannote[402].end 4533.51659375
transcript.pyannote[403].speaker SPEAKER_16
transcript.pyannote[403].start 4535.11971875
transcript.pyannote[403].end 4542.96659375
transcript.pyannote[404].speaker SPEAKER_12
transcript.pyannote[404].start 4538.34284375
transcript.pyannote[404].end 4538.39346875
transcript.pyannote[405].speaker SPEAKER_14
transcript.pyannote[405].start 4538.39346875
transcript.pyannote[405].end 4538.56221875
transcript.pyannote[406].speaker SPEAKER_12
transcript.pyannote[406].start 4538.56221875
transcript.pyannote[406].end 4538.66346875
transcript.pyannote[407].speaker SPEAKER_14
transcript.pyannote[407].start 4538.66346875
transcript.pyannote[407].end 4540.11471875
transcript.pyannote[408].speaker SPEAKER_14
transcript.pyannote[408].start 4541.61659375
transcript.pyannote[408].end 4541.65034375
transcript.pyannote[409].speaker SPEAKER_14
transcript.pyannote[409].start 4541.66721875
transcript.pyannote[409].end 4541.85284375
transcript.pyannote[410].speaker SPEAKER_14
transcript.pyannote[410].start 4543.03409375
transcript.pyannote[410].end 4570.05096875
transcript.pyannote[411].speaker SPEAKER_00
transcript.pyannote[411].start 4563.68909375
transcript.pyannote[411].end 4563.70596875
transcript.pyannote[412].speaker SPEAKER_16
transcript.pyannote[412].start 4563.70596875
transcript.pyannote[412].end 4564.17846875
transcript.pyannote[413].speaker SPEAKER_16
transcript.pyannote[413].start 4570.15221875
transcript.pyannote[413].end 4584.76596875
transcript.pyannote[414].speaker SPEAKER_12
transcript.pyannote[414].start 4580.81721875
transcript.pyannote[414].end 4580.85096875
transcript.pyannote[415].speaker SPEAKER_14
transcript.pyannote[415].start 4580.85096875
transcript.pyannote[415].end 4580.88471875
transcript.pyannote[416].speaker SPEAKER_12
transcript.pyannote[416].start 4580.88471875
transcript.pyannote[416].end 4580.96909375
transcript.pyannote[417].speaker SPEAKER_14
transcript.pyannote[417].start 4580.96909375
transcript.pyannote[417].end 4581.17159375
transcript.pyannote[418].speaker SPEAKER_12
transcript.pyannote[418].start 4581.17159375
transcript.pyannote[418].end 4581.40784375
transcript.pyannote[419].speaker SPEAKER_14
transcript.pyannote[419].start 4585.28909375
transcript.pyannote[419].end 4589.60909375
transcript.pyannote[420].speaker SPEAKER_16
transcript.pyannote[420].start 4589.15346875
transcript.pyannote[420].end 4590.72284375
transcript.pyannote[421].speaker SPEAKER_16
transcript.pyannote[421].start 4590.73971875
transcript.pyannote[421].end 4590.75659375
transcript.pyannote[422].speaker SPEAKER_14
transcript.pyannote[422].start 4590.75659375
transcript.pyannote[422].end 4594.35096875
transcript.pyannote[423].speaker SPEAKER_16
transcript.pyannote[423].start 4593.23721875
transcript.pyannote[423].end 4594.33409375
transcript.pyannote[424].speaker SPEAKER_16
transcript.pyannote[424].start 4594.35096875
transcript.pyannote[424].end 4594.38471875
transcript.pyannote[425].speaker SPEAKER_14
transcript.pyannote[425].start 4594.38471875
transcript.pyannote[425].end 4595.05971875
transcript.pyannote[426].speaker SPEAKER_16
transcript.pyannote[426].start 4595.05971875
transcript.pyannote[426].end 4595.11034375
transcript.pyannote[427].speaker SPEAKER_14
transcript.pyannote[427].start 4595.11034375
transcript.pyannote[427].end 4595.68409375
transcript.pyannote[428].speaker SPEAKER_16
transcript.pyannote[428].start 4595.12721875
transcript.pyannote[428].end 4597.30409375
transcript.pyannote[429].speaker SPEAKER_14
transcript.pyannote[429].start 4597.30409375
transcript.pyannote[429].end 4597.84409375
transcript.pyannote[430].speaker SPEAKER_16
transcript.pyannote[430].start 4597.84409375
transcript.pyannote[430].end 4603.21034375
transcript.pyannote[431].speaker SPEAKER_14
transcript.pyannote[431].start 4597.86096875
transcript.pyannote[431].end 4598.06346875
transcript.pyannote[432].speaker SPEAKER_14
transcript.pyannote[432].start 4601.77596875
transcript.pyannote[432].end 4605.21846875
transcript.pyannote[433].speaker SPEAKER_16
transcript.pyannote[433].start 4605.21846875
transcript.pyannote[433].end 4609.74096875
transcript.pyannote[434].speaker SPEAKER_14
transcript.pyannote[434].start 4610.66909375
transcript.pyannote[434].end 4613.90909375
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 4614.31409375
transcript.pyannote[435].end 4614.93846875
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 4614.97221875
transcript.pyannote[436].end 4614.98909375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 4615.15784375
transcript.pyannote[437].end 4616.35596875
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 4616.76096875
transcript.pyannote[438].end 4629.33284375
transcript.pyannote[439].speaker SPEAKER_16
transcript.pyannote[439].start 4629.53534375
transcript.pyannote[439].end 4629.95721875
transcript.pyannote[440].speaker SPEAKER_16
transcript.pyannote[440].start 4630.46346875
transcript.pyannote[440].end 4632.91034375
transcript.pyannote[441].speaker SPEAKER_16
transcript.pyannote[441].start 4633.39971875
transcript.pyannote[441].end 4639.94721875
transcript.pyannote[442].speaker SPEAKER_05
transcript.pyannote[442].start 4636.97721875
transcript.pyannote[442].end 4637.38221875
transcript.pyannote[443].speaker SPEAKER_16
transcript.pyannote[443].start 4640.03159375
transcript.pyannote[443].end 4653.61596875
transcript.pyannote[444].speaker SPEAKER_00
transcript.pyannote[444].start 4644.45284375
transcript.pyannote[444].end 4644.62159375
transcript.pyannote[445].speaker SPEAKER_14
transcript.pyannote[445].start 4654.10534375
transcript.pyannote[445].end 4660.24784375
transcript.pyannote[446].speaker SPEAKER_14
transcript.pyannote[446].start 4660.26471875
transcript.pyannote[446].end 4665.66471875
transcript.pyannote[447].speaker SPEAKER_14
transcript.pyannote[447].start 4665.83346875
transcript.pyannote[447].end 4678.74284375
transcript.pyannote[448].speaker SPEAKER_16
transcript.pyannote[448].start 4678.96221875
transcript.pyannote[448].end 4686.67409375
transcript.pyannote[449].speaker SPEAKER_14
transcript.pyannote[449].start 4682.38784375
transcript.pyannote[449].end 4682.65784375
transcript.pyannote[450].speaker SPEAKER_14
transcript.pyannote[450].start 4684.02471875
transcript.pyannote[450].end 4684.42971875
transcript.pyannote[451].speaker SPEAKER_14
transcript.pyannote[451].start 4686.21846875
transcript.pyannote[451].end 4687.88909375
transcript.pyannote[452].speaker SPEAKER_16
transcript.pyannote[452].start 4687.56846875
transcript.pyannote[452].end 4691.29784375
transcript.pyannote[453].speaker SPEAKER_16
transcript.pyannote[453].start 4691.44971875
transcript.pyannote[453].end 4692.02346875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 4691.50034375
transcript.pyannote[454].end 4693.12034375
transcript.pyannote[455].speaker SPEAKER_16
transcript.pyannote[455].start 4693.84596875
transcript.pyannote[455].end 4694.95971875
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 4693.94721875
transcript.pyannote[456].end 4701.06846875
transcript.pyannote[457].speaker SPEAKER_16
transcript.pyannote[457].start 4700.88284375
transcript.pyannote[457].end 4709.11784375
transcript.pyannote[458].speaker SPEAKER_12
transcript.pyannote[458].start 4709.11784375
transcript.pyannote[458].end 4709.37096875
transcript.pyannote[459].speaker SPEAKER_16
transcript.pyannote[459].start 4709.37096875
transcript.pyannote[459].end 4709.40471875
transcript.pyannote[460].speaker SPEAKER_16
transcript.pyannote[460].start 4709.48909375
transcript.pyannote[460].end 4717.96034375
transcript.pyannote[461].speaker SPEAKER_14
transcript.pyannote[461].start 4715.12534375
transcript.pyannote[461].end 4715.59784375
transcript.pyannote[462].speaker SPEAKER_12
transcript.pyannote[462].start 4715.59784375
transcript.pyannote[462].end 4715.74971875
transcript.pyannote[463].speaker SPEAKER_14
transcript.pyannote[463].start 4715.74971875
transcript.pyannote[463].end 4715.85096875
transcript.pyannote[464].speaker SPEAKER_12
transcript.pyannote[464].start 4715.85096875
transcript.pyannote[464].end 4715.90159375
transcript.pyannote[465].speaker SPEAKER_14
transcript.pyannote[465].start 4717.96034375
transcript.pyannote[465].end 4719.32721875
transcript.pyannote[466].speaker SPEAKER_17
transcript.pyannote[466].start 4719.42846875
transcript.pyannote[466].end 4724.91284375
transcript.pyannote[467].speaker SPEAKER_11
transcript.pyannote[467].start 4738.81784375
transcript.pyannote[467].end 4739.84721875
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 4740.26909375
transcript.pyannote[468].end 4741.01159375
transcript.pyannote[469].speaker SPEAKER_11
transcript.pyannote[469].start 4748.84159375
transcript.pyannote[469].end 4773.59721875
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 4749.44909375
transcript.pyannote[470].end 4749.55034375
transcript.pyannote[471].speaker SPEAKER_10
transcript.pyannote[471].start 4750.71471875
transcript.pyannote[471].end 4751.11971875
transcript.pyannote[472].speaker SPEAKER_00
transcript.pyannote[472].start 4751.11971875
transcript.pyannote[472].end 4751.15346875
transcript.pyannote[473].speaker SPEAKER_11
transcript.pyannote[473].start 4775.55471875
transcript.pyannote[473].end 4786.00034375
transcript.pyannote[474].speaker SPEAKER_10
transcript.pyannote[474].start 4776.51659375
transcript.pyannote[474].end 4776.92159375
transcript.pyannote[475].speaker SPEAKER_10
transcript.pyannote[475].start 4781.68034375
transcript.pyannote[475].end 4781.76471875
transcript.pyannote[476].speaker SPEAKER_10
transcript.pyannote[476].start 4786.43909375
transcript.pyannote[476].end 4810.78971875
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 4811.59971875
transcript.pyannote[477].end 4825.11659375
transcript.pyannote[478].speaker SPEAKER_10
transcript.pyannote[478].start 4825.87596875
transcript.pyannote[478].end 4834.68471875
transcript.pyannote[479].speaker SPEAKER_11
transcript.pyannote[479].start 4835.10659375
transcript.pyannote[479].end 4836.37221875
transcript.pyannote[480].speaker SPEAKER_11
transcript.pyannote[480].start 4836.77721875
transcript.pyannote[480].end 4860.08159375
transcript.pyannote[481].speaker SPEAKER_10
transcript.pyannote[481].start 4861.02659375
transcript.pyannote[481].end 4889.22471875
transcript.pyannote[482].speaker SPEAKER_11
transcript.pyannote[482].start 4889.66346875
transcript.pyannote[482].end 4899.41721875
transcript.pyannote[483].speaker SPEAKER_11
transcript.pyannote[483].start 4899.88971875
transcript.pyannote[483].end 4901.15534375
transcript.pyannote[484].speaker SPEAKER_11
transcript.pyannote[484].start 4901.64471875
transcript.pyannote[484].end 4913.32221875
transcript.pyannote[485].speaker SPEAKER_11
transcript.pyannote[485].start 4914.06471875
transcript.pyannote[485].end 4921.69221875
transcript.pyannote[486].speaker SPEAKER_10
transcript.pyannote[486].start 4922.60346875
transcript.pyannote[486].end 4940.15346875
transcript.pyannote[487].speaker SPEAKER_10
transcript.pyannote[487].start 4940.82846875
transcript.pyannote[487].end 4943.08971875
transcript.pyannote[488].speaker SPEAKER_11
transcript.pyannote[488].start 4940.84534375
transcript.pyannote[488].end 4946.73471875
transcript.pyannote[489].speaker SPEAKER_10
transcript.pyannote[489].start 4945.94159375
transcript.pyannote[489].end 4951.00409375
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 4951.76346875
transcript.pyannote[490].end 4956.82596875
transcript.pyannote[491].speaker SPEAKER_10
transcript.pyannote[491].start 4957.11284375
transcript.pyannote[491].end 4958.32784375
transcript.pyannote[492].speaker SPEAKER_11
transcript.pyannote[492].start 4957.19721875
transcript.pyannote[492].end 4960.38659375
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 4959.79596875
transcript.pyannote[493].end 5005.86471875
transcript.pyannote[494].speaker SPEAKER_11
transcript.pyannote[494].start 5005.86471875
transcript.pyannote[494].end 5005.94909375
transcript.pyannote[495].speaker SPEAKER_11
transcript.pyannote[495].start 5006.45534375
transcript.pyannote[495].end 5010.21846875
transcript.pyannote[496].speaker SPEAKER_11
transcript.pyannote[496].start 5010.60659375
transcript.pyannote[496].end 5024.14034375
transcript.pyannote[497].speaker SPEAKER_11
transcript.pyannote[497].start 5024.54534375
transcript.pyannote[497].end 5037.69096875
transcript.pyannote[498].speaker SPEAKER_11
transcript.pyannote[498].start 5038.01159375
transcript.pyannote[498].end 5040.67784375
transcript.pyannote[499].speaker SPEAKER_11
transcript.pyannote[499].start 5040.86346875
transcript.pyannote[499].end 5050.00971875
transcript.pyannote[500].speaker SPEAKER_11
transcript.pyannote[500].start 5050.75221875
transcript.pyannote[500].end 5054.76846875
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 5055.73034375
transcript.pyannote[501].end 5056.21971875
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 5056.37159375
transcript.pyannote[502].end 5057.78909375
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 5058.22784375
transcript.pyannote[503].end 5087.72534375
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 5088.21471875
transcript.pyannote[504].end 5103.99284375
transcript.pyannote[505].speaker SPEAKER_11
transcript.pyannote[505].start 5102.08596875
transcript.pyannote[505].end 5125.96409375
transcript.pyannote[506].speaker SPEAKER_11
transcript.pyannote[506].start 5126.50409375
transcript.pyannote[506].end 5134.31721875
transcript.pyannote[507].speaker SPEAKER_11
transcript.pyannote[507].start 5134.85721875
transcript.pyannote[507].end 5142.14721875
transcript.pyannote[508].speaker SPEAKER_00
transcript.pyannote[508].start 5140.05471875
transcript.pyannote[508].end 5140.20659375
transcript.pyannote[509].speaker SPEAKER_11
transcript.pyannote[509].start 5142.23159375
transcript.pyannote[509].end 5147.39534375
transcript.pyannote[510].speaker SPEAKER_11
transcript.pyannote[510].start 5147.63159375
transcript.pyannote[510].end 5153.06534375
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 5153.06534375
transcript.pyannote[511].end 5157.03096875
transcript.pyannote[512].speaker SPEAKER_17
transcript.pyannote[512].start 5157.03096875
transcript.pyannote[512].end 5159.25846875
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 5157.08159375
transcript.pyannote[513].end 5157.14909375
transcript.pyannote[514].speaker SPEAKER_10
transcript.pyannote[514].start 5157.16596875
transcript.pyannote[514].end 5157.67221875
transcript.pyannote[515].speaker SPEAKER_17
transcript.pyannote[515].start 5159.32596875
transcript.pyannote[515].end 5160.47346875
transcript.pyannote[516].speaker SPEAKER_17
transcript.pyannote[516].start 5160.76034375
transcript.pyannote[516].end 5164.13534375
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 5166.04221875
transcript.pyannote[517].end 5166.61596875
transcript.pyannote[518].speaker SPEAKER_09
transcript.pyannote[518].start 5180.18346875
transcript.pyannote[518].end 5183.25471875
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 5183.64284375
transcript.pyannote[519].end 5185.24596875
transcript.pyannote[520].speaker SPEAKER_09
transcript.pyannote[520].start 5184.62159375
transcript.pyannote[520].end 5185.83659375
transcript.pyannote[521].speaker SPEAKER_09
transcript.pyannote[521].start 5187.65909375
transcript.pyannote[521].end 5188.38471875
transcript.pyannote[522].speaker SPEAKER_09
transcript.pyannote[522].start 5194.88159375
transcript.pyannote[522].end 5199.03284375
transcript.pyannote[523].speaker SPEAKER_09
transcript.pyannote[523].start 5199.25221875
transcript.pyannote[523].end 5199.50534375
transcript.pyannote[524].speaker SPEAKER_09
transcript.pyannote[524].start 5201.96909375
transcript.pyannote[524].end 5202.12096875
transcript.pyannote[525].speaker SPEAKER_09
transcript.pyannote[525].start 5202.25596875
transcript.pyannote[525].end 5250.50159375
transcript.pyannote[526].speaker SPEAKER_09
transcript.pyannote[526].start 5252.79659375
transcript.pyannote[526].end 5253.80909375
transcript.pyannote[527].speaker SPEAKER_14
transcript.pyannote[527].start 5255.20971875
transcript.pyannote[527].end 5268.79409375
transcript.pyannote[528].speaker SPEAKER_09
transcript.pyannote[528].start 5260.37346875
transcript.pyannote[528].end 5260.39034375
transcript.pyannote[529].speaker SPEAKER_12
transcript.pyannote[529].start 5260.39034375
transcript.pyannote[529].end 5261.08221875
transcript.pyannote[530].speaker SPEAKER_12
transcript.pyannote[530].start 5262.31409375
transcript.pyannote[530].end 5262.63471875
transcript.pyannote[531].speaker SPEAKER_12
transcript.pyannote[531].start 5267.76471875
transcript.pyannote[531].end 5269.30034375
transcript.pyannote[532].speaker SPEAKER_14
transcript.pyannote[532].start 5269.21596875
transcript.pyannote[532].end 5271.54471875
transcript.pyannote[533].speaker SPEAKER_14
transcript.pyannote[533].start 5271.81471875
transcript.pyannote[533].end 5274.14346875
transcript.pyannote[534].speaker SPEAKER_12
transcript.pyannote[534].start 5274.14346875
transcript.pyannote[534].end 5274.85221875
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 5274.73409375
transcript.pyannote[535].end 5276.97846875
transcript.pyannote[536].speaker SPEAKER_14
transcript.pyannote[536].start 5277.16409375
transcript.pyannote[536].end 5284.48784375
transcript.pyannote[537].speaker SPEAKER_09
transcript.pyannote[537].start 5281.92284375
transcript.pyannote[537].end 5282.36159375
transcript.pyannote[538].speaker SPEAKER_09
transcript.pyannote[538].start 5284.48784375
transcript.pyannote[538].end 5284.89284375
transcript.pyannote[539].speaker SPEAKER_14
transcript.pyannote[539].start 5284.80846875
transcript.pyannote[539].end 5286.25971875
transcript.pyannote[540].speaker SPEAKER_09
transcript.pyannote[540].start 5285.98971875
transcript.pyannote[540].end 5300.50221875
transcript.pyannote[541].speaker SPEAKER_00
transcript.pyannote[541].start 5295.28784375
transcript.pyannote[541].end 5295.57471875
transcript.pyannote[542].speaker SPEAKER_09
transcript.pyannote[542].start 5300.67096875
transcript.pyannote[542].end 5309.44596875
transcript.pyannote[543].speaker SPEAKER_14
transcript.pyannote[543].start 5309.95221875
transcript.pyannote[543].end 5313.42846875
transcript.pyannote[544].speaker SPEAKER_09
transcript.pyannote[544].start 5313.27659375
transcript.pyannote[544].end 5313.86721875
transcript.pyannote[545].speaker SPEAKER_14
transcript.pyannote[545].start 5313.78284375
transcript.pyannote[545].end 5317.98471875
transcript.pyannote[546].speaker SPEAKER_01
transcript.pyannote[546].start 5313.86721875
transcript.pyannote[546].end 5313.93471875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 5318.11971875
transcript.pyannote[547].end 5337.88034375
transcript.pyannote[548].speaker SPEAKER_12
transcript.pyannote[548].start 5321.22471875
transcript.pyannote[548].end 5321.44409375
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 5321.44409375
transcript.pyannote[549].end 5321.47784375
transcript.pyannote[550].speaker SPEAKER_12
transcript.pyannote[550].start 5325.29159375
transcript.pyannote[550].end 5325.91596875
transcript.pyannote[551].speaker SPEAKER_09
transcript.pyannote[551].start 5334.06659375
transcript.pyannote[551].end 5335.83846875
transcript.pyannote[552].speaker SPEAKER_09
transcript.pyannote[552].start 5336.46284375
transcript.pyannote[552].end 5337.27284375
transcript.pyannote[553].speaker SPEAKER_09
transcript.pyannote[553].start 5337.88034375
transcript.pyannote[553].end 5337.89721875
transcript.pyannote[554].speaker SPEAKER_14
transcript.pyannote[554].start 5337.89721875
transcript.pyannote[554].end 5337.91409375
transcript.pyannote[555].speaker SPEAKER_09
transcript.pyannote[555].start 5337.91409375
transcript.pyannote[555].end 5337.94784375
transcript.pyannote[556].speaker SPEAKER_09
transcript.pyannote[556].start 5338.08284375
transcript.pyannote[556].end 5377.33409375
transcript.pyannote[557].speaker SPEAKER_00
transcript.pyannote[557].start 5364.34034375
transcript.pyannote[557].end 5364.71159375
transcript.pyannote[558].speaker SPEAKER_14
transcript.pyannote[558].start 5377.40159375
transcript.pyannote[558].end 5398.17471875
transcript.pyannote[559].speaker SPEAKER_09
transcript.pyannote[559].start 5381.36721875
transcript.pyannote[559].end 5381.67096875
transcript.pyannote[560].speaker SPEAKER_00
transcript.pyannote[560].start 5381.67096875
transcript.pyannote[560].end 5381.68784375
transcript.pyannote[561].speaker SPEAKER_00
transcript.pyannote[561].start 5389.63596875
transcript.pyannote[561].end 5389.83846875
transcript.pyannote[562].speaker SPEAKER_12
transcript.pyannote[562].start 5398.17471875
transcript.pyannote[562].end 5398.19159375
transcript.pyannote[563].speaker SPEAKER_09
transcript.pyannote[563].start 5398.19159375
transcript.pyannote[563].end 5398.46159375
transcript.pyannote[564].speaker SPEAKER_14
transcript.pyannote[564].start 5398.46159375
transcript.pyannote[564].end 5403.62534375
transcript.pyannote[565].speaker SPEAKER_09
transcript.pyannote[565].start 5398.47846875
transcript.pyannote[565].end 5398.49534375
transcript.pyannote[566].speaker SPEAKER_12
transcript.pyannote[566].start 5398.49534375
transcript.pyannote[566].end 5398.52909375
transcript.pyannote[567].speaker SPEAKER_09
transcript.pyannote[567].start 5398.52909375
transcript.pyannote[567].end 5398.54596875
transcript.pyannote[568].speaker SPEAKER_12
transcript.pyannote[568].start 5398.54596875
transcript.pyannote[568].end 5398.59659375
transcript.pyannote[569].speaker SPEAKER_09
transcript.pyannote[569].start 5398.59659375
transcript.pyannote[569].end 5398.61346875
transcript.pyannote[570].speaker SPEAKER_09
transcript.pyannote[570].start 5403.62534375
transcript.pyannote[570].end 5489.89034375
transcript.pyannote[571].speaker SPEAKER_14
transcript.pyannote[571].start 5403.64221875
transcript.pyannote[571].end 5403.67596875
transcript.pyannote[572].speaker SPEAKER_14
transcript.pyannote[572].start 5411.75909375
transcript.pyannote[572].end 5412.11346875
transcript.pyannote[573].speaker SPEAKER_00
transcript.pyannote[573].start 5412.11346875
transcript.pyannote[573].end 5412.28221875
transcript.pyannote[574].speaker SPEAKER_12
transcript.pyannote[574].start 5414.29034375
transcript.pyannote[574].end 5414.59409375
transcript.pyannote[575].speaker SPEAKER_00
transcript.pyannote[575].start 5424.75284375
transcript.pyannote[575].end 5425.17471875
transcript.pyannote[576].speaker SPEAKER_12
transcript.pyannote[576].start 5426.11971875
transcript.pyannote[576].end 5426.17034375
transcript.pyannote[577].speaker SPEAKER_12
transcript.pyannote[577].start 5426.33909375
transcript.pyannote[577].end 5426.42346875
transcript.pyannote[578].speaker SPEAKER_04
transcript.pyannote[578].start 5490.76784375
transcript.pyannote[578].end 5503.12034375
transcript.pyannote[579].speaker SPEAKER_09
transcript.pyannote[579].start 5491.49346875
transcript.pyannote[579].end 5491.67909375
transcript.pyannote[580].speaker SPEAKER_12
transcript.pyannote[580].start 5498.93534375
transcript.pyannote[580].end 5499.44159375
transcript.pyannote[581].speaker SPEAKER_12
transcript.pyannote[581].start 5502.79971875
transcript.pyannote[581].end 5503.52534375
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 5503.44096875
transcript.pyannote[582].end 5518.49346875
transcript.pyannote[583].speaker SPEAKER_12
transcript.pyannote[583].start 5510.39346875
transcript.pyannote[583].end 5511.05159375
transcript.pyannote[584].speaker SPEAKER_12
transcript.pyannote[584].start 5515.50659375
transcript.pyannote[584].end 5515.60784375
transcript.pyannote[585].speaker SPEAKER_12
transcript.pyannote[585].start 5518.29096875
transcript.pyannote[585].end 5518.78034375
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 5518.72971875
transcript.pyannote[586].end 5534.81159375
transcript.pyannote[587].speaker SPEAKER_09
transcript.pyannote[587].start 5528.07846875
transcript.pyannote[587].end 5528.24721875
transcript.pyannote[588].speaker SPEAKER_09
transcript.pyannote[588].start 5531.47034375
transcript.pyannote[588].end 5532.01034375
transcript.pyannote[589].speaker SPEAKER_09
transcript.pyannote[589].start 5534.81159375
transcript.pyannote[589].end 5578.18034375
transcript.pyannote[590].speaker SPEAKER_12
transcript.pyannote[590].start 5571.73409375
transcript.pyannote[590].end 5572.66221875
transcript.pyannote[591].speaker SPEAKER_12
transcript.pyannote[591].start 5577.35346875
transcript.pyannote[591].end 5577.38721875
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 5577.38721875
transcript.pyannote[592].end 5578.92284375
transcript.pyannote[593].speaker SPEAKER_09
transcript.pyannote[593].start 5578.41659375
transcript.pyannote[593].end 5580.98159375
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 5580.05346875
transcript.pyannote[594].end 5580.44159375
transcript.pyannote[595].speaker SPEAKER_12
transcript.pyannote[595].start 5580.44159375
transcript.pyannote[595].end 5580.47534375
transcript.pyannote[596].speaker SPEAKER_11
transcript.pyannote[596].start 5580.98159375
transcript.pyannote[596].end 5581.15034375
transcript.pyannote[597].speaker SPEAKER_11
transcript.pyannote[597].start 5581.75784375
transcript.pyannote[597].end 5581.77471875
transcript.pyannote[598].speaker SPEAKER_09
transcript.pyannote[598].start 5581.77471875
transcript.pyannote[598].end 5582.02784375
transcript.pyannote[599].speaker SPEAKER_11
transcript.pyannote[599].start 5582.02784375
transcript.pyannote[599].end 5582.41596875
transcript.pyannote[600].speaker SPEAKER_11
transcript.pyannote[600].start 5585.53784375
transcript.pyannote[600].end 5588.05221875
transcript.pyannote[601].speaker SPEAKER_17
transcript.pyannote[601].start 5598.83534375
transcript.pyannote[601].end 5601.02909375
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 5601.28221875
transcript.pyannote[602].end 5603.34096875
transcript.pyannote[603].speaker SPEAKER_11
transcript.pyannote[603].start 5603.69534375
transcript.pyannote[603].end 5605.51784375
transcript.pyannote[604].speaker SPEAKER_17
transcript.pyannote[604].start 5613.75284375
transcript.pyannote[604].end 5619.22034375
transcript.pyannote[605].speaker SPEAKER_17
transcript.pyannote[605].start 5619.60846875
transcript.pyannote[605].end 5622.24096875
transcript.pyannote[606].speaker SPEAKER_17
transcript.pyannote[606].start 5622.78096875
transcript.pyannote[606].end 5624.43471875
transcript.pyannote[607].speaker SPEAKER_17
transcript.pyannote[607].start 5624.87346875
transcript.pyannote[607].end 5627.82659375
transcript.pyannote[608].speaker SPEAKER_17
transcript.pyannote[608].start 5628.40034375
transcript.pyannote[608].end 5632.01159375
transcript.pyannote[609].speaker SPEAKER_01
transcript.pyannote[609].start 5632.51784375
transcript.pyannote[609].end 5632.55159375
transcript.pyannote[610].speaker SPEAKER_17
transcript.pyannote[610].start 5632.55159375
transcript.pyannote[610].end 5632.60221875
transcript.pyannote[611].speaker SPEAKER_01
transcript.pyannote[611].start 5632.60221875
transcript.pyannote[611].end 5632.75409375
transcript.pyannote[612].speaker SPEAKER_17
transcript.pyannote[612].start 5632.75409375
transcript.pyannote[612].end 5635.48784375
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 5635.90971875
transcript.pyannote[613].end 5639.70659375
transcript.pyannote[614].speaker SPEAKER_17
transcript.pyannote[614].start 5640.51659375
transcript.pyannote[614].end 5641.57971875
transcript.pyannote[615].speaker SPEAKER_17
transcript.pyannote[615].start 5642.00159375
transcript.pyannote[615].end 5652.10971875
transcript.pyannote[616].speaker SPEAKER_17
transcript.pyannote[616].start 5652.43034375
transcript.pyannote[616].end 5665.77846875
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 5666.89221875
transcript.pyannote[617].end 5668.52909375
transcript.pyannote[618].speaker SPEAKER_14
transcript.pyannote[618].start 5667.63471875
transcript.pyannote[618].end 5667.66846875
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 5668.52909375
transcript.pyannote[619].end 5673.86159375
transcript.pyannote[620].speaker SPEAKER_14
transcript.pyannote[620].start 5673.94596875
transcript.pyannote[620].end 5675.98784375
transcript.pyannote[621].speaker SPEAKER_14
transcript.pyannote[621].start 5676.24096875
transcript.pyannote[621].end 5681.96159375
transcript.pyannote[622].speaker SPEAKER_14
transcript.pyannote[622].start 5682.50159375
transcript.pyannote[622].end 5688.44159375
transcript.pyannote[623].speaker SPEAKER_18
transcript.pyannote[623].start 5688.44159375
transcript.pyannote[623].end 5690.02784375
transcript.pyannote[624].speaker SPEAKER_14
transcript.pyannote[624].start 5688.81284375
transcript.pyannote[624].end 5693.80784375
transcript.pyannote[625].speaker SPEAKER_17
transcript.pyannote[625].start 5690.02784375
transcript.pyannote[625].end 5707.67909375
transcript.pyannote[626].speaker SPEAKER_14
transcript.pyannote[626].start 5693.99346875
transcript.pyannote[626].end 5694.19596875
transcript.pyannote[627].speaker SPEAKER_14
transcript.pyannote[627].start 5694.49971875
transcript.pyannote[627].end 5695.00596875
transcript.pyannote[628].speaker SPEAKER_14
transcript.pyannote[628].start 5698.22909375
transcript.pyannote[628].end 5698.53284375
transcript.pyannote[629].speaker SPEAKER_00
transcript.pyannote[629].start 5698.53284375
transcript.pyannote[629].end 5698.54971875
transcript.pyannote[630].speaker SPEAKER_15
transcript.pyannote[630].start 5706.78471875
transcript.pyannote[630].end 5707.44284375
transcript.pyannote[631].speaker SPEAKER_17
transcript.pyannote[631].start 5707.83096875
transcript.pyannote[631].end 5716.15034375
transcript.pyannote[632].speaker SPEAKER_15
transcript.pyannote[632].start 5712.01596875
transcript.pyannote[632].end 5712.03284375
transcript.pyannote[633].speaker SPEAKER_00
transcript.pyannote[633].start 5712.03284375
transcript.pyannote[633].end 5712.25221875
transcript.pyannote[634].speaker SPEAKER_15
transcript.pyannote[634].start 5712.25221875
transcript.pyannote[634].end 5712.26909375
transcript.pyannote[635].speaker SPEAKER_00
transcript.pyannote[635].start 5712.26909375
transcript.pyannote[635].end 5712.30284375
transcript.pyannote[636].speaker SPEAKER_17
transcript.pyannote[636].start 5716.57221875
transcript.pyannote[636].end 5729.29596875
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 5722.12409375
transcript.pyannote[637].end 5722.14096875
transcript.pyannote[638].speaker SPEAKER_14
transcript.pyannote[638].start 5722.14096875
transcript.pyannote[638].end 5722.44471875
transcript.pyannote[639].speaker SPEAKER_14
transcript.pyannote[639].start 5728.31721875
transcript.pyannote[639].end 5743.20096875
transcript.pyannote[640].speaker SPEAKER_17
transcript.pyannote[640].start 5741.63159375
transcript.pyannote[640].end 5754.13596875
transcript.pyannote[641].speaker SPEAKER_14
transcript.pyannote[641].start 5743.47096875
transcript.pyannote[641].end 5746.28909375
transcript.pyannote[642].speaker SPEAKER_17
transcript.pyannote[642].start 5754.70971875
transcript.pyannote[642].end 5758.89471875
transcript.pyannote[643].speaker SPEAKER_14
transcript.pyannote[643].start 5759.18159375
transcript.pyannote[643].end 5761.69596875
transcript.pyannote[644].speaker SPEAKER_17
transcript.pyannote[644].start 5761.12221875
transcript.pyannote[644].end 5761.86471875
transcript.pyannote[645].speaker SPEAKER_05
transcript.pyannote[645].start 5762.92784375
transcript.pyannote[645].end 5763.38346875
transcript.pyannote[646].speaker SPEAKER_05
transcript.pyannote[646].start 5763.53534375
transcript.pyannote[646].end 5765.03721875
transcript.pyannote[647].speaker SPEAKER_17
transcript.pyannote[647].start 5765.39159375
transcript.pyannote[647].end 5766.53909375
transcript.pyannote[648].speaker SPEAKER_05
transcript.pyannote[648].start 5766.87659375
transcript.pyannote[648].end 5772.58034375
transcript.pyannote[649].speaker SPEAKER_05
transcript.pyannote[649].start 5772.74909375
transcript.pyannote[649].end 5773.87971875
transcript.pyannote[650].speaker SPEAKER_05
transcript.pyannote[650].start 5774.14971875
transcript.pyannote[650].end 5778.77346875
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 5777.44034375
transcript.pyannote[651].end 5783.71784375
transcript.pyannote[652].speaker SPEAKER_05
transcript.pyannote[652].start 5779.87034375
transcript.pyannote[652].end 5780.35971875
transcript.pyannote[653].speaker SPEAKER_05
transcript.pyannote[653].start 5780.79846875
transcript.pyannote[653].end 5781.13596875
transcript.pyannote[654].speaker SPEAKER_05
transcript.pyannote[654].start 5783.78534375
transcript.pyannote[654].end 5785.75971875
transcript.pyannote[655].speaker SPEAKER_17
transcript.pyannote[655].start 5785.28721875
transcript.pyannote[655].end 5791.21034375
transcript.pyannote[656].speaker SPEAKER_05
transcript.pyannote[656].start 5789.57346875
transcript.pyannote[656].end 5790.11346875
transcript.pyannote[657].speaker SPEAKER_05
transcript.pyannote[657].start 5791.02471875
transcript.pyannote[657].end 5797.58909375
transcript.pyannote[658].speaker SPEAKER_17
transcript.pyannote[658].start 5793.18471875
transcript.pyannote[658].end 5793.77534375
transcript.pyannote[659].speaker SPEAKER_17
transcript.pyannote[659].start 5797.33596875
transcript.pyannote[659].end 5798.63534375
transcript.pyannote[660].speaker SPEAKER_05
transcript.pyannote[660].start 5798.46659375
transcript.pyannote[660].end 5798.82096875
transcript.pyannote[661].speaker SPEAKER_17
transcript.pyannote[661].start 5798.68596875
transcript.pyannote[661].end 5798.71971875
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 5798.82096875
transcript.pyannote[662].end 5800.49159375
transcript.pyannote[663].speaker SPEAKER_05
transcript.pyannote[663].start 5800.49159375
transcript.pyannote[663].end 5800.96409375
transcript.pyannote[664].speaker SPEAKER_17
transcript.pyannote[664].start 5800.96409375
transcript.pyannote[664].end 5802.01034375
transcript.pyannote[665].speaker SPEAKER_05
transcript.pyannote[665].start 5800.98096875
transcript.pyannote[665].end 5800.99784375
transcript.pyannote[666].speaker SPEAKER_05
transcript.pyannote[666].start 5801.45346875
transcript.pyannote[666].end 5802.73596875
transcript.pyannote[667].speaker SPEAKER_17
transcript.pyannote[667].start 5802.73596875
transcript.pyannote[667].end 5802.75284375
transcript.pyannote[668].speaker SPEAKER_05
transcript.pyannote[668].start 5802.75284375
transcript.pyannote[668].end 5802.82034375
transcript.pyannote[669].speaker SPEAKER_17
transcript.pyannote[669].start 5802.82034375
transcript.pyannote[669].end 5802.85409375
transcript.pyannote[670].speaker SPEAKER_05
transcript.pyannote[670].start 5802.85409375
transcript.pyannote[670].end 5803.02284375
transcript.pyannote[671].speaker SPEAKER_17
transcript.pyannote[671].start 5803.02284375
transcript.pyannote[671].end 5803.09034375
transcript.pyannote[672].speaker SPEAKER_05
transcript.pyannote[672].start 5803.09034375
transcript.pyannote[672].end 5803.63034375
transcript.pyannote[673].speaker SPEAKER_17
transcript.pyannote[673].start 5803.63034375
transcript.pyannote[673].end 5817.72096875
transcript.pyannote[674].speaker SPEAKER_05
transcript.pyannote[674].start 5803.64721875
transcript.pyannote[674].end 5805.11534375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 5807.24159375
transcript.pyannote[675].end 5807.69721875
transcript.pyannote[676].speaker SPEAKER_00
transcript.pyannote[676].start 5807.69721875
transcript.pyannote[676].end 5807.76471875
transcript.pyannote[677].speaker SPEAKER_00
transcript.pyannote[677].start 5808.70971875
transcript.pyannote[677].end 5808.72659375
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 5808.72659375
transcript.pyannote[678].end 5808.97971875
transcript.pyannote[679].speaker SPEAKER_00
transcript.pyannote[679].start 5808.97971875
transcript.pyannote[679].end 5808.99659375
transcript.pyannote[680].speaker SPEAKER_05
transcript.pyannote[680].start 5809.90784375
transcript.pyannote[680].end 5810.07659375
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 5810.11034375
transcript.pyannote[681].end 5810.27909375
transcript.pyannote[682].speaker SPEAKER_00
transcript.pyannote[682].start 5810.27909375
transcript.pyannote[682].end 5810.31284375
transcript.pyannote[683].speaker SPEAKER_17
transcript.pyannote[683].start 5818.09221875
transcript.pyannote[683].end 5819.40846875
transcript.pyannote[684].speaker SPEAKER_17
transcript.pyannote[684].start 5819.66159375
transcript.pyannote[684].end 5821.75409375
transcript.pyannote[685].speaker SPEAKER_17
transcript.pyannote[685].start 5822.17596875
transcript.pyannote[685].end 5824.50471875
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 5824.87596875
transcript.pyannote[686].end 5826.42846875
transcript.pyannote[687].speaker SPEAKER_17
transcript.pyannote[687].start 5827.06971875
transcript.pyannote[687].end 5832.04784375
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 5832.87471875
transcript.pyannote[688].end 5839.16909375
transcript.pyannote[689].speaker SPEAKER_17
transcript.pyannote[689].start 5839.43909375
transcript.pyannote[689].end 5842.91534375
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 5843.48909375
transcript.pyannote[690].end 5844.19784375
transcript.pyannote[691].speaker SPEAKER_00
transcript.pyannote[691].start 5845.14284375
transcript.pyannote[691].end 5851.62284375
transcript.pyannote[692].speaker SPEAKER_00
transcript.pyannote[692].start 5852.04471875
transcript.pyannote[692].end 5857.07346875
transcript.pyannote[693].speaker SPEAKER_00
transcript.pyannote[693].start 5857.12409375
transcript.pyannote[693].end 5858.10284375
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 5857.17471875
transcript.pyannote[694].end 5878.52159375
transcript.pyannote[695].speaker SPEAKER_00
transcript.pyannote[695].start 5860.14471875
transcript.pyannote[695].end 5861.95034375
transcript.pyannote[696].speaker SPEAKER_00
transcript.pyannote[696].start 5862.40596875
transcript.pyannote[696].end 5863.70534375
transcript.pyannote[697].speaker SPEAKER_00
transcript.pyannote[697].start 5866.30409375
transcript.pyannote[697].end 5866.50659375
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 5878.89284375
transcript.pyannote[698].end 5890.36784375
transcript.pyannote[699].speaker SPEAKER_00
transcript.pyannote[699].start 5886.55409375
transcript.pyannote[699].end 5886.82409375
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 5890.70534375
transcript.pyannote[700].end 5895.49784375
transcript.pyannote[701].speaker SPEAKER_17
transcript.pyannote[701].start 5895.83534375
transcript.pyannote[701].end 5933.12909375
transcript.pyannote[702].speaker SPEAKER_17
transcript.pyannote[702].start 5933.71971875
transcript.pyannote[702].end 5938.34346875
transcript.pyannote[703].speaker SPEAKER_17
transcript.pyannote[703].start 5938.98471875
transcript.pyannote[703].end 5939.47409375
transcript.pyannote[704].speaker SPEAKER_17
transcript.pyannote[704].start 5940.23346875
transcript.pyannote[704].end 5940.33471875
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 5940.94221875
transcript.pyannote[705].end 5941.58346875
transcript.pyannote[706].speaker SPEAKER_14
transcript.pyannote[706].start 5941.68471875
transcript.pyannote[706].end 5963.84159375
transcript.pyannote[707].speaker SPEAKER_17
transcript.pyannote[707].start 5961.63096875
transcript.pyannote[707].end 5967.50346875
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 5964.88784375
transcript.pyannote[708].end 5965.22534375
transcript.pyannote[709].speaker SPEAKER_14
transcript.pyannote[709].start 5967.06471875
transcript.pyannote[709].end 5972.61659375
transcript.pyannote[710].speaker SPEAKER_17
transcript.pyannote[710].start 5969.88284375
transcript.pyannote[710].end 5974.94534375
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 5975.72159375
transcript.pyannote[711].end 5977.96596875
transcript.pyannote[712].speaker SPEAKER_17
transcript.pyannote[712].start 5977.34159375
transcript.pyannote[712].end 5982.84284375
transcript.pyannote[713].speaker SPEAKER_14
transcript.pyannote[713].start 5979.82221875
transcript.pyannote[713].end 5980.05846875
transcript.pyannote[714].speaker SPEAKER_14
transcript.pyannote[714].start 5981.69534375
transcript.pyannote[714].end 5982.04971875
transcript.pyannote[715].speaker SPEAKER_00
transcript.pyannote[715].start 5982.04971875
transcript.pyannote[715].end 5982.08346875
transcript.pyannote[716].speaker SPEAKER_17
transcript.pyannote[716].start 5983.19721875
transcript.pyannote[716].end 5989.74471875
transcript.pyannote[717].speaker SPEAKER_17
transcript.pyannote[717].start 5990.13284375
transcript.pyannote[717].end 5991.75284375
transcript.pyannote[718].speaker SPEAKER_12
transcript.pyannote[718].start 5991.66846875
transcript.pyannote[718].end 5991.68534375
transcript.pyannote[719].speaker SPEAKER_12
transcript.pyannote[719].start 5991.75284375
transcript.pyannote[719].end 5991.88784375
transcript.pyannote[720].speaker SPEAKER_17
transcript.pyannote[720].start 5991.88784375
transcript.pyannote[720].end 5993.64284375
transcript.pyannote[721].speaker SPEAKER_17
transcript.pyannote[721].start 5993.92971875
transcript.pyannote[721].end 5999.93721875
transcript.pyannote[722].speaker SPEAKER_17
transcript.pyannote[722].start 6000.02159375
transcript.pyannote[722].end 6001.57409375
transcript.pyannote[723].speaker SPEAKER_17
transcript.pyannote[723].start 6001.69221875
transcript.pyannote[723].end 6002.82284375
transcript.pyannote[724].speaker SPEAKER_14
transcript.pyannote[724].start 6003.05909375
transcript.pyannote[724].end 6003.37971875
transcript.pyannote[725].speaker SPEAKER_17
transcript.pyannote[725].start 6003.46409375
transcript.pyannote[725].end 6004.10534375
transcript.pyannote[726].speaker SPEAKER_11
transcript.pyannote[726].start 6006.26534375
transcript.pyannote[726].end 6007.58159375
transcript.pyannote[727].speaker SPEAKER_17
transcript.pyannote[727].start 6018.73596875
transcript.pyannote[727].end 6021.46971875
transcript.pyannote[728].speaker SPEAKER_03
transcript.pyannote[728].start 6026.46471875
transcript.pyannote[728].end 6029.55284375
transcript.pyannote[729].speaker SPEAKER_17
transcript.pyannote[729].start 6029.92409375
transcript.pyannote[729].end 6030.70034375
transcript.pyannote[730].speaker SPEAKER_03
transcript.pyannote[730].start 6031.66221875
transcript.pyannote[730].end 6033.04596875
transcript.pyannote[731].speaker SPEAKER_17
transcript.pyannote[731].start 6033.34971875
transcript.pyannote[731].end 6033.97409375
transcript.pyannote[732].speaker SPEAKER_03
transcript.pyannote[732].start 6037.90596875
transcript.pyannote[732].end 6039.01971875
transcript.pyannote[733].speaker SPEAKER_17
transcript.pyannote[733].start 6039.25596875
transcript.pyannote[733].end 6039.27284375
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 6039.27284375
transcript.pyannote[734].end 6039.81284375
transcript.pyannote[735].speaker SPEAKER_03
transcript.pyannote[735].start 6039.98159375
transcript.pyannote[735].end 6045.39846875
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 6040.03221875
transcript.pyannote[736].end 6040.23471875
transcript.pyannote[737].speaker SPEAKER_17
transcript.pyannote[737].start 6040.23471875
transcript.pyannote[737].end 6040.25159375
transcript.pyannote[738].speaker SPEAKER_10
transcript.pyannote[738].start 6040.25159375
transcript.pyannote[738].end 6040.26846875
transcript.pyannote[739].speaker SPEAKER_03
transcript.pyannote[739].start 6045.90471875
transcript.pyannote[739].end 6047.03534375
transcript.pyannote[740].speaker SPEAKER_03
transcript.pyannote[740].start 6048.95909375
transcript.pyannote[740].end 6055.25346875
transcript.pyannote[741].speaker SPEAKER_03
transcript.pyannote[741].start 6056.06346875
transcript.pyannote[741].end 6061.49721875
transcript.pyannote[742].speaker SPEAKER_03
transcript.pyannote[742].start 6061.73346875
transcript.pyannote[742].end 6068.06159375
transcript.pyannote[743].speaker SPEAKER_03
transcript.pyannote[743].start 6068.58471875
transcript.pyannote[743].end 6069.27659375
transcript.pyannote[744].speaker SPEAKER_03
transcript.pyannote[744].start 6070.17096875
transcript.pyannote[744].end 6072.71909375
transcript.pyannote[745].speaker SPEAKER_03
transcript.pyannote[745].start 6072.98909375
transcript.pyannote[745].end 6074.05221875
transcript.pyannote[746].speaker SPEAKER_03
transcript.pyannote[746].start 6074.64284375
transcript.pyannote[746].end 6079.18221875
transcript.pyannote[747].speaker SPEAKER_03
transcript.pyannote[747].start 6079.60409375
transcript.pyannote[747].end 6083.02971875
transcript.pyannote[748].speaker SPEAKER_03
transcript.pyannote[748].start 6083.41784375
transcript.pyannote[748].end 6088.73346875
transcript.pyannote[749].speaker SPEAKER_03
transcript.pyannote[749].start 6088.93596875
transcript.pyannote[749].end 6120.86346875
transcript.pyannote[750].speaker SPEAKER_03
transcript.pyannote[750].start 6121.53846875
transcript.pyannote[750].end 6142.75034375
transcript.pyannote[751].speaker SPEAKER_03
transcript.pyannote[751].start 6143.17221875
transcript.pyannote[751].end 6143.83034375
transcript.pyannote[752].speaker SPEAKER_03
transcript.pyannote[752].start 6144.48846875
transcript.pyannote[752].end 6145.04534375
transcript.pyannote[753].speaker SPEAKER_03
transcript.pyannote[753].start 6145.50096875
transcript.pyannote[753].end 6188.29596875
transcript.pyannote[754].speaker SPEAKER_03
transcript.pyannote[754].start 6188.51534375
transcript.pyannote[754].end 6191.80596875
transcript.pyannote[755].speaker SPEAKER_03
transcript.pyannote[755].start 6191.87346875
transcript.pyannote[755].end 6193.72971875
transcript.pyannote[756].speaker SPEAKER_03
transcript.pyannote[756].start 6193.94909375
transcript.pyannote[756].end 6195.85596875
transcript.pyannote[757].speaker SPEAKER_03
transcript.pyannote[757].start 6196.26096875
transcript.pyannote[757].end 6202.28534375
transcript.pyannote[758].speaker SPEAKER_03
transcript.pyannote[758].start 6202.79159375
transcript.pyannote[758].end 6203.50034375
transcript.pyannote[759].speaker SPEAKER_03
transcript.pyannote[759].start 6203.87159375
transcript.pyannote[759].end 6204.32721875
transcript.pyannote[760].speaker SPEAKER_03
transcript.pyannote[760].start 6204.56346875
transcript.pyannote[760].end 6212.05596875
transcript.pyannote[761].speaker SPEAKER_03
transcript.pyannote[761].start 6212.59596875
transcript.pyannote[761].end 6215.59971875
transcript.pyannote[762].speaker SPEAKER_03
transcript.pyannote[762].start 6215.76846875
transcript.pyannote[762].end 6224.05409375
transcript.pyannote[763].speaker SPEAKER_03
transcript.pyannote[763].start 6224.15534375
transcript.pyannote[763].end 6226.60221875
transcript.pyannote[764].speaker SPEAKER_03
transcript.pyannote[764].start 6227.46284375
transcript.pyannote[764].end 6229.69034375
transcript.pyannote[765].speaker SPEAKER_03
transcript.pyannote[765].start 6230.17971875
transcript.pyannote[765].end 6250.76721875
transcript.pyannote[766].speaker SPEAKER_03
transcript.pyannote[766].start 6251.27346875
transcript.pyannote[766].end 6253.66971875
transcript.pyannote[767].speaker SPEAKER_03
transcript.pyannote[767].start 6254.95221875
transcript.pyannote[767].end 6274.94909375
transcript.pyannote[768].speaker SPEAKER_03
transcript.pyannote[768].start 6275.45534375
transcript.pyannote[768].end 6299.87346875
transcript.pyannote[769].speaker SPEAKER_03
transcript.pyannote[769].start 6300.31221875
transcript.pyannote[769].end 6300.97034375
transcript.pyannote[770].speaker SPEAKER_03
transcript.pyannote[770].start 6301.59471875
transcript.pyannote[770].end 6311.93909375
transcript.pyannote[771].speaker SPEAKER_03
transcript.pyannote[771].start 6312.10784375
transcript.pyannote[771].end 6317.72721875
transcript.pyannote[772].speaker SPEAKER_03
transcript.pyannote[772].start 6318.25034375
transcript.pyannote[772].end 6339.37784375
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 6339.64784375
transcript.pyannote[773].end 6354.16034375
transcript.pyannote[774].speaker SPEAKER_03
transcript.pyannote[774].start 6355.02096875
transcript.pyannote[774].end 6361.34909375
transcript.pyannote[775].speaker SPEAKER_03
transcript.pyannote[775].start 6361.53471875
transcript.pyannote[775].end 6362.19284375
transcript.pyannote[776].speaker SPEAKER_03
transcript.pyannote[776].start 6362.34471875
transcript.pyannote[776].end 6374.19096875
transcript.pyannote[777].speaker SPEAKER_03
transcript.pyannote[777].start 6374.98409375
transcript.pyannote[777].end 6378.46034375
transcript.pyannote[778].speaker SPEAKER_03
transcript.pyannote[778].start 6378.73034375
transcript.pyannote[778].end 6383.48909375
transcript.pyannote[779].speaker SPEAKER_03
transcript.pyannote[779].start 6384.09659375
transcript.pyannote[779].end 6397.76534375
transcript.pyannote[780].speaker SPEAKER_03
transcript.pyannote[780].start 6398.23784375
transcript.pyannote[780].end 6403.58721875
transcript.pyannote[781].speaker SPEAKER_03
transcript.pyannote[781].start 6403.95846875
transcript.pyannote[781].end 6407.72159375
transcript.pyannote[782].speaker SPEAKER_03
transcript.pyannote[782].start 6407.89034375
transcript.pyannote[782].end 6409.13909375
transcript.pyannote[783].speaker SPEAKER_03
transcript.pyannote[783].start 6409.83096875
transcript.pyannote[783].end 6410.23596875
transcript.pyannote[784].speaker SPEAKER_03
transcript.pyannote[784].start 6410.75909375
transcript.pyannote[784].end 6412.27784375
transcript.pyannote[785].speaker SPEAKER_03
transcript.pyannote[785].start 6413.88096875
transcript.pyannote[785].end 6420.17534375
transcript.pyannote[786].speaker SPEAKER_03
transcript.pyannote[786].start 6420.59721875
transcript.pyannote[786].end 6421.52534375
transcript.pyannote[787].speaker SPEAKER_03
transcript.pyannote[787].start 6422.20034375
transcript.pyannote[787].end 6423.51659375
transcript.pyannote[788].speaker SPEAKER_03
transcript.pyannote[788].start 6423.90471875
transcript.pyannote[788].end 6427.44846875
transcript.pyannote[789].speaker SPEAKER_03
transcript.pyannote[789].start 6427.88721875
transcript.pyannote[789].end 6428.37659375
transcript.pyannote[790].speaker SPEAKER_03
transcript.pyannote[790].start 6428.66346875
transcript.pyannote[790].end 6433.65846875
transcript.pyannote[791].speaker SPEAKER_03
transcript.pyannote[791].start 6434.38409375
transcript.pyannote[791].end 6449.08221875
transcript.pyannote[792].speaker SPEAKER_03
transcript.pyannote[792].start 6449.53784375
transcript.pyannote[792].end 6450.07784375
transcript.pyannote[793].speaker SPEAKER_10
transcript.pyannote[793].start 6450.95534375
transcript.pyannote[793].end 6452.23784375
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 6452.52471875
transcript.pyannote[794].end 6474.61409375
transcript.pyannote[795].speaker SPEAKER_03
transcript.pyannote[795].start 6471.20534375
transcript.pyannote[795].end 6478.36034375
transcript.pyannote[796].speaker SPEAKER_17
transcript.pyannote[796].start 6474.61409375
transcript.pyannote[796].end 6474.71534375
transcript.pyannote[797].speaker SPEAKER_17
transcript.pyannote[797].start 6477.29721875
transcript.pyannote[797].end 6484.50284375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 6482.79846875
transcript.pyannote[798].end 6482.81534375
transcript.pyannote[799].speaker SPEAKER_03
transcript.pyannote[799].start 6482.81534375
transcript.pyannote[799].end 6484.43534375
transcript.pyannote[800].speaker SPEAKER_17
transcript.pyannote[800].start 6484.97534375
transcript.pyannote[800].end 6487.72596875
transcript.pyannote[801].speaker SPEAKER_02
transcript.pyannote[801].start 6499.53846875
transcript.pyannote[801].end 6502.15409375
transcript.pyannote[802].speaker SPEAKER_17
transcript.pyannote[802].start 6502.32284375
transcript.pyannote[802].end 6503.09909375
transcript.pyannote[803].speaker SPEAKER_02
transcript.pyannote[803].start 6511.08096875
transcript.pyannote[803].end 6561.23346875
transcript.pyannote[804].speaker SPEAKER_12
transcript.pyannote[804].start 6511.84034375
transcript.pyannote[804].end 6512.22846875
transcript.pyannote[805].speaker SPEAKER_10
transcript.pyannote[805].start 6562.34721875
transcript.pyannote[805].end 6563.39346875
transcript.pyannote[806].speaker SPEAKER_02
transcript.pyannote[806].start 6564.16971875
transcript.pyannote[806].end 6583.98096875
transcript.pyannote[807].speaker SPEAKER_10
transcript.pyannote[807].start 6584.87534375
transcript.pyannote[807].end 6591.01784375
transcript.pyannote[808].speaker SPEAKER_02
transcript.pyannote[808].start 6590.37659375
transcript.pyannote[808].end 6618.74346875
transcript.pyannote[809].speaker SPEAKER_01
transcript.pyannote[809].start 6618.97971875
transcript.pyannote[809].end 6645.52409375
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 6624.04221875
transcript.pyannote[810].end 6624.07596875
transcript.pyannote[811].speaker SPEAKER_12
transcript.pyannote[811].start 6624.17721875
transcript.pyannote[811].end 6624.24471875
transcript.pyannote[812].speaker SPEAKER_02
transcript.pyannote[812].start 6645.28784375
transcript.pyannote[812].end 6714.42471875
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 6714.96471875
transcript.pyannote[813].end 6721.57971875
transcript.pyannote[814].speaker SPEAKER_12
transcript.pyannote[814].start 6716.28096875
transcript.pyannote[814].end 6717.58034375
transcript.pyannote[815].speaker SPEAKER_02
transcript.pyannote[815].start 6722.03534375
transcript.pyannote[815].end 6755.36346875
transcript.pyannote[816].speaker SPEAKER_02
transcript.pyannote[816].start 6756.27471875
transcript.pyannote[816].end 6790.83471875
transcript.pyannote[817].speaker SPEAKER_02
transcript.pyannote[817].start 6791.71221875
transcript.pyannote[817].end 6808.70534375
transcript.pyannote[818].speaker SPEAKER_02
transcript.pyannote[818].start 6809.95409375
transcript.pyannote[818].end 6810.30846875
transcript.pyannote[819].speaker SPEAKER_02
transcript.pyannote[819].start 6811.37159375
transcript.pyannote[819].end 6826.52534375
transcript.pyannote[820].speaker SPEAKER_12
transcript.pyannote[820].start 6811.43909375
transcript.pyannote[820].end 6811.96221875
transcript.pyannote[821].speaker SPEAKER_00
transcript.pyannote[821].start 6811.96221875
transcript.pyannote[821].end 6812.04659375
transcript.pyannote[822].speaker SPEAKER_02
transcript.pyannote[822].start 6827.60534375
transcript.pyannote[822].end 6828.31409375
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 6827.94284375
transcript.pyannote[823].end 6829.98471875
transcript.pyannote[824].speaker SPEAKER_02
transcript.pyannote[824].start 6829.93409375
transcript.pyannote[824].end 6838.13534375
transcript.pyannote[825].speaker SPEAKER_10
transcript.pyannote[825].start 6831.13221875
transcript.pyannote[825].end 6832.49909375
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 6838.50659375
transcript.pyannote[826].end 6843.87284375
transcript.pyannote[827].speaker SPEAKER_02
transcript.pyannote[827].start 6844.26096875
transcript.pyannote[827].end 6844.31159375
transcript.pyannote[828].speaker SPEAKER_10
transcript.pyannote[828].start 6844.31159375
transcript.pyannote[828].end 6844.32846875
transcript.pyannote[829].speaker SPEAKER_12
transcript.pyannote[829].start 6844.32846875
transcript.pyannote[829].end 6844.42971875
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 6844.42971875
transcript.pyannote[830].end 6858.36846875
transcript.pyannote[831].speaker SPEAKER_02
transcript.pyannote[831].start 6858.80721875
transcript.pyannote[831].end 6861.27096875
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 6861.42284375
transcript.pyannote[832].end 6862.68846875
transcript.pyannote[833].speaker SPEAKER_02
transcript.pyannote[833].start 6863.09346875
transcript.pyannote[833].end 6866.02971875
transcript.pyannote[834].speaker SPEAKER_02
transcript.pyannote[834].start 6866.70471875
transcript.pyannote[834].end 6880.50846875
transcript.pyannote[835].speaker SPEAKER_10
transcript.pyannote[835].start 6878.29784375
transcript.pyannote[835].end 6878.53409375
transcript.pyannote[836].speaker SPEAKER_10
transcript.pyannote[836].start 6878.97284375
transcript.pyannote[836].end 6882.93846875
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 6881.62221875
transcript.pyannote[837].end 6889.82346875
transcript.pyannote[838].speaker SPEAKER_10
transcript.pyannote[838].start 6884.74409375
transcript.pyannote[838].end 6885.11534375
transcript.pyannote[839].speaker SPEAKER_17
transcript.pyannote[839].start 6885.11534375
transcript.pyannote[839].end 6885.13221875
transcript.pyannote[840].speaker SPEAKER_17
transcript.pyannote[840].start 6889.82346875
transcript.pyannote[840].end 6891.35909375
transcript.pyannote[841].speaker SPEAKER_02
transcript.pyannote[841].start 6890.31284375
transcript.pyannote[841].end 6890.41409375
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 6890.54909375
transcript.pyannote[842].end 6890.56596875
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 6890.58284375
transcript.pyannote[843].end 6896.65784375
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 6895.93221875
transcript.pyannote[844].end 6895.96596875
transcript.pyannote[845].speaker SPEAKER_10
transcript.pyannote[845].start 6895.96596875
transcript.pyannote[845].end 6896.08409375
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 6896.08409375
transcript.pyannote[846].end 6897.41721875
transcript.pyannote[847].speaker SPEAKER_10
transcript.pyannote[847].start 6896.65784375
transcript.pyannote[847].end 6898.96971875
transcript.pyannote[848].speaker SPEAKER_17
transcript.pyannote[848].start 6897.41721875
transcript.pyannote[848].end 6901.68659375
transcript.pyannote[849].speaker SPEAKER_18
transcript.pyannote[849].start 6898.96971875
transcript.pyannote[849].end 6902.32784375
transcript.pyannote[850].speaker SPEAKER_17
transcript.pyannote[850].start 6902.32784375
transcript.pyannote[850].end 6902.36159375
transcript.pyannote[851].speaker SPEAKER_17
transcript.pyannote[851].start 6902.80034375
transcript.pyannote[851].end 6921.59909375
transcript.pyannote[852].speaker SPEAKER_17
transcript.pyannote[852].start 6922.00409375
transcript.pyannote[852].end 6930.42471875
transcript.pyannote[853].speaker SPEAKER_06
transcript.pyannote[853].start 6941.98409375
transcript.pyannote[853].end 6944.02596875
transcript.pyannote[854].speaker SPEAKER_17
transcript.pyannote[854].start 6944.21159375
transcript.pyannote[854].end 6944.95409375
transcript.pyannote[855].speaker SPEAKER_06
transcript.pyannote[855].start 6958.21784375
transcript.pyannote[855].end 6959.46659375
transcript.pyannote[856].speaker SPEAKER_10
transcript.pyannote[856].start 6959.46659375
transcript.pyannote[856].end 6959.60159375
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 6959.60159375
transcript.pyannote[857].end 6959.63534375
transcript.pyannote[858].speaker SPEAKER_10
transcript.pyannote[858].start 6959.63534375
transcript.pyannote[858].end 6959.70284375
transcript.pyannote[859].speaker SPEAKER_06
transcript.pyannote[859].start 6959.70284375
transcript.pyannote[859].end 6959.71971875
transcript.pyannote[860].speaker SPEAKER_06
transcript.pyannote[860].start 6960.61409375
transcript.pyannote[860].end 6973.15221875
transcript.pyannote[861].speaker SPEAKER_06
transcript.pyannote[861].start 6973.52346875
transcript.pyannote[861].end 6975.26159375
transcript.pyannote[862].speaker SPEAKER_06
transcript.pyannote[862].start 6975.59909375
transcript.pyannote[862].end 6978.65346875
transcript.pyannote[863].speaker SPEAKER_06
transcript.pyannote[863].start 6978.77159375
transcript.pyannote[863].end 6981.13409375
transcript.pyannote[864].speaker SPEAKER_06
transcript.pyannote[864].start 6981.30284375
transcript.pyannote[864].end 6984.71159375
transcript.pyannote[865].speaker SPEAKER_06
transcript.pyannote[865].start 6984.99846875
transcript.pyannote[865].end 6991.44471875
transcript.pyannote[866].speaker SPEAKER_06
transcript.pyannote[866].start 6991.71471875
transcript.pyannote[866].end 6998.98784375
transcript.pyannote[867].speaker SPEAKER_06
transcript.pyannote[867].start 6999.03846875
transcript.pyannote[867].end 7001.50221875
transcript.pyannote[868].speaker SPEAKER_06
transcript.pyannote[868].start 7001.73846875
transcript.pyannote[868].end 7005.04596875
transcript.pyannote[869].speaker SPEAKER_06
transcript.pyannote[869].start 7005.13034375
transcript.pyannote[869].end 7009.66971875
transcript.pyannote[870].speaker SPEAKER_06
transcript.pyannote[870].start 7010.00721875
transcript.pyannote[870].end 7012.33596875
transcript.pyannote[871].speaker SPEAKER_06
transcript.pyannote[871].start 7013.11221875
transcript.pyannote[871].end 7023.76034375
transcript.pyannote[872].speaker SPEAKER_06
transcript.pyannote[872].start 7024.38471875
transcript.pyannote[872].end 7031.13471875
transcript.pyannote[873].speaker SPEAKER_06
transcript.pyannote[873].start 7031.92784375
transcript.pyannote[873].end 7065.01971875
transcript.pyannote[874].speaker SPEAKER_06
transcript.pyannote[874].start 7065.77909375
transcript.pyannote[874].end 7067.82096875
transcript.pyannote[875].speaker SPEAKER_10
transcript.pyannote[875].start 7066.60596875
transcript.pyannote[875].end 7080.98346875
transcript.pyannote[876].speaker SPEAKER_10
transcript.pyannote[876].start 7081.59096875
transcript.pyannote[876].end 7086.94034375
transcript.pyannote[877].speaker SPEAKER_10
transcript.pyannote[877].start 7087.24409375
transcript.pyannote[877].end 7116.53909375
transcript.pyannote[878].speaker SPEAKER_10
transcript.pyannote[878].start 7116.58971875
transcript.pyannote[878].end 7123.33971875
transcript.pyannote[879].speaker SPEAKER_10
transcript.pyannote[879].start 7123.79534375
transcript.pyannote[879].end 7132.50284375
transcript.pyannote[880].speaker SPEAKER_06
transcript.pyannote[880].start 7131.77721875
transcript.pyannote[880].end 7152.28034375
transcript.pyannote[881].speaker SPEAKER_10
transcript.pyannote[881].start 7135.57409375
transcript.pyannote[881].end 7135.87784375
transcript.pyannote[882].speaker SPEAKER_10
transcript.pyannote[882].start 7147.55534375
transcript.pyannote[882].end 7148.16284375
transcript.pyannote[883].speaker SPEAKER_10
transcript.pyannote[883].start 7152.28034375
transcript.pyannote[883].end 7155.95909375
transcript.pyannote[884].speaker SPEAKER_10
transcript.pyannote[884].start 7156.31346875
transcript.pyannote[884].end 7159.01346875
transcript.pyannote[885].speaker SPEAKER_06
transcript.pyannote[885].start 7158.81096875
transcript.pyannote[885].end 7162.06784375
transcript.pyannote[886].speaker SPEAKER_10
transcript.pyannote[886].start 7162.59096875
transcript.pyannote[886].end 7164.04221875
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 7164.64971875
transcript.pyannote[887].end 7167.01221875
transcript.pyannote[888].speaker SPEAKER_10
transcript.pyannote[888].start 7166.37096875
transcript.pyannote[888].end 7167.21471875
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 7168.21034375
transcript.pyannote[889].end 7168.96971875
transcript.pyannote[890].speaker SPEAKER_10
transcript.pyannote[890].start 7169.00346875
transcript.pyannote[890].end 7169.39159375
transcript.pyannote[891].speaker SPEAKER_06
transcript.pyannote[891].start 7170.18471875
transcript.pyannote[891].end 7171.50096875
transcript.pyannote[892].speaker SPEAKER_10
transcript.pyannote[892].start 7172.05784375
transcript.pyannote[892].end 7176.85034375
transcript.pyannote[893].speaker SPEAKER_06
transcript.pyannote[893].start 7176.29346875
transcript.pyannote[893].end 7187.97096875
transcript.pyannote[894].speaker SPEAKER_10
transcript.pyannote[894].start 7185.00096875
transcript.pyannote[894].end 7185.38909375
transcript.pyannote[895].speaker SPEAKER_10
transcript.pyannote[895].start 7186.46909375
transcript.pyannote[895].end 7194.94034375
transcript.pyannote[896].speaker SPEAKER_06
transcript.pyannote[896].start 7188.29159375
transcript.pyannote[896].end 7188.47721875
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 7188.54471875
transcript.pyannote[897].end 7188.96659375
transcript.pyannote[898].speaker SPEAKER_10
transcript.pyannote[898].start 7195.58159375
transcript.pyannote[898].end 7198.58534375
transcript.pyannote[899].speaker SPEAKER_06
transcript.pyannote[899].start 7199.15909375
transcript.pyannote[899].end 7200.05346875
transcript.pyannote[900].speaker SPEAKER_06
transcript.pyannote[900].start 7200.20534375
transcript.pyannote[900].end 7206.06096875
transcript.pyannote[901].speaker SPEAKER_06
transcript.pyannote[901].start 7210.17846875
transcript.pyannote[901].end 7213.51971875
transcript.pyannote[902].speaker SPEAKER_12
transcript.pyannote[902].start 7211.02221875
transcript.pyannote[902].end 7211.42721875
transcript.pyannote[903].speaker SPEAKER_06
transcript.pyannote[903].start 7213.89096875
transcript.pyannote[903].end 7266.59159375
transcript.pyannote[904].speaker SPEAKER_10
transcript.pyannote[904].start 7267.57034375
transcript.pyannote[904].end 7268.56596875
transcript.pyannote[905].speaker SPEAKER_06
transcript.pyannote[905].start 7269.66284375
transcript.pyannote[905].end 7277.45909375
transcript.pyannote[906].speaker SPEAKER_10
transcript.pyannote[906].start 7276.71659375
transcript.pyannote[906].end 7309.31909375
transcript.pyannote[907].speaker SPEAKER_06
transcript.pyannote[907].start 7303.96971875
transcript.pyannote[907].end 7306.55159375
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 7308.67784375
transcript.pyannote[908].end 7311.46221875
transcript.pyannote[909].speaker SPEAKER_10
transcript.pyannote[909].start 7310.98971875
transcript.pyannote[909].end 7325.28284375
transcript.pyannote[910].speaker SPEAKER_10
transcript.pyannote[910].start 7325.46846875
transcript.pyannote[910].end 7332.74159375
transcript.pyannote[911].speaker SPEAKER_06
transcript.pyannote[911].start 7333.65284375
transcript.pyannote[911].end 7336.23471875
transcript.pyannote[912].speaker SPEAKER_10
transcript.pyannote[912].start 7335.79596875
transcript.pyannote[912].end 7343.23784375
transcript.pyannote[913].speaker SPEAKER_17
transcript.pyannote[913].start 7343.33909375
transcript.pyannote[913].end 7348.03034375
transcript.pyannote[914].speaker SPEAKER_17
transcript.pyannote[914].start 7348.48596875
transcript.pyannote[914].end 7349.02596875
transcript.pyannote[915].speaker SPEAKER_17
transcript.pyannote[915].start 7349.68409375
transcript.pyannote[915].end 7356.18096875
transcript.pyannote[916].speaker SPEAKER_12
transcript.pyannote[916].start 7350.94971875
transcript.pyannote[916].end 7351.89471875
transcript.pyannote[917].speaker SPEAKER_12
transcript.pyannote[917].start 7351.92846875
transcript.pyannote[917].end 7351.99596875
transcript.pyannote[918].speaker SPEAKER_12
transcript.pyannote[918].start 7356.18096875
transcript.pyannote[918].end 7357.69971875
transcript.pyannote[919].speaker SPEAKER_17
transcript.pyannote[919].start 7357.00784375
transcript.pyannote[919].end 7357.71659375
transcript.pyannote[920].speaker SPEAKER_12
transcript.pyannote[920].start 7357.71659375
transcript.pyannote[920].end 7358.29034375
transcript.pyannote[921].speaker SPEAKER_17
transcript.pyannote[921].start 7358.29034375
transcript.pyannote[921].end 7364.48346875
transcript.pyannote[922].speaker SPEAKER_17
transcript.pyannote[922].start 7364.66909375
transcript.pyannote[922].end 7366.52534375
transcript.pyannote[923].speaker SPEAKER_18
transcript.pyannote[923].start 7372.61721875
transcript.pyannote[923].end 7375.67159375
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 7383.50159375
transcript.pyannote[924].end 7406.56971875
transcript.pyannote[925].speaker SPEAKER_12
transcript.pyannote[925].start 7384.32846875
transcript.pyannote[925].end 7385.10471875
transcript.pyannote[926].speaker SPEAKER_18
transcript.pyannote[926].start 7407.37971875
transcript.pyannote[926].end 7437.60284375
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 7438.10909375
transcript.pyannote[927].end 7444.55534375
transcript.pyannote[928].speaker SPEAKER_18
transcript.pyannote[928].start 7445.24721875
transcript.pyannote[928].end 7461.75096875
transcript.pyannote[929].speaker SPEAKER_18
transcript.pyannote[929].start 7462.40909375
transcript.pyannote[929].end 7466.35784375
transcript.pyannote[930].speaker SPEAKER_18
transcript.pyannote[930].start 7467.16784375
transcript.pyannote[930].end 7471.01534375
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 7471.31909375
transcript.pyannote[931].end 7474.00221875
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 7474.87971875
transcript.pyannote[932].end 7476.43221875
transcript.pyannote[933].speaker SPEAKER_18
transcript.pyannote[933].start 7476.78659375
transcript.pyannote[933].end 7477.46159375
transcript.pyannote[934].speaker SPEAKER_18
transcript.pyannote[934].start 7477.59659375
transcript.pyannote[934].end 7478.76096875
transcript.pyannote[935].speaker SPEAKER_12
transcript.pyannote[935].start 7477.81596875
transcript.pyannote[935].end 7477.88346875
transcript.pyannote[936].speaker SPEAKER_18
transcript.pyannote[936].start 7479.31784375
transcript.pyannote[936].end 7505.79471875
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 7506.87471875
transcript.pyannote[937].end 7508.19096875
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 7508.74784375
transcript.pyannote[938].end 7509.84471875
transcript.pyannote[939].speaker SPEAKER_10
transcript.pyannote[939].start 7510.70534375
transcript.pyannote[939].end 7525.97721875
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 7524.10409375
transcript.pyannote[940].end 7532.86221875
transcript.pyannote[941].speaker SPEAKER_10
transcript.pyannote[941].start 7532.86221875
transcript.pyannote[941].end 7534.17846875
transcript.pyannote[942].speaker SPEAKER_18
transcript.pyannote[942].start 7533.16596875
transcript.pyannote[942].end 7535.69721875
transcript.pyannote[943].speaker SPEAKER_10
transcript.pyannote[943].start 7535.78159375
transcript.pyannote[943].end 7558.00596875
transcript.pyannote[944].speaker SPEAKER_11
transcript.pyannote[944].start 7557.90471875
transcript.pyannote[944].end 7558.19159375
transcript.pyannote[945].speaker SPEAKER_10
transcript.pyannote[945].start 7558.19159375
transcript.pyannote[945].end 7572.36659375
transcript.pyannote[946].speaker SPEAKER_12
transcript.pyannote[946].start 7558.20846875
transcript.pyannote[946].end 7558.27596875
transcript.pyannote[947].speaker SPEAKER_18
transcript.pyannote[947].start 7571.40471875
transcript.pyannote[947].end 7575.26909375
transcript.pyannote[948].speaker SPEAKER_10
transcript.pyannote[948].start 7572.58596875
transcript.pyannote[948].end 7572.87284375
transcript.pyannote[949].speaker SPEAKER_10
transcript.pyannote[949].start 7575.43784375
transcript.pyannote[949].end 7577.27721875
transcript.pyannote[950].speaker SPEAKER_10
transcript.pyannote[950].start 7577.63159375
transcript.pyannote[950].end 7610.74034375
transcript.pyannote[951].speaker SPEAKER_18
transcript.pyannote[951].start 7582.39034375
transcript.pyannote[951].end 7582.76159375
transcript.pyannote[952].speaker SPEAKER_11
transcript.pyannote[952].start 7597.18971875
transcript.pyannote[952].end 7597.51034375
transcript.pyannote[953].speaker SPEAKER_11
transcript.pyannote[953].start 7600.63221875
transcript.pyannote[953].end 7600.96971875
transcript.pyannote[954].speaker SPEAKER_00
transcript.pyannote[954].start 7600.96971875
transcript.pyannote[954].end 7601.66159375
transcript.pyannote[955].speaker SPEAKER_00
transcript.pyannote[955].start 7601.93159375
transcript.pyannote[955].end 7602.04971875
transcript.pyannote[956].speaker SPEAKER_18
transcript.pyannote[956].start 7602.04971875
transcript.pyannote[956].end 7602.38721875
transcript.pyannote[957].speaker SPEAKER_18
transcript.pyannote[957].start 7610.74034375
transcript.pyannote[957].end 7620.35909375
transcript.pyannote[958].speaker SPEAKER_10
transcript.pyannote[958].start 7620.83159375
transcript.pyannote[958].end 7629.04971875
transcript.pyannote[959].speaker SPEAKER_12
transcript.pyannote[959].start 7625.30346875
transcript.pyannote[959].end 7625.67471875
transcript.pyannote[960].speaker SPEAKER_12
transcript.pyannote[960].start 7628.89784375
transcript.pyannote[960].end 7629.30284375
transcript.pyannote[961].speaker SPEAKER_10
transcript.pyannote[961].start 7629.16784375
transcript.pyannote[961].end 7635.79971875
transcript.pyannote[962].speaker SPEAKER_18
transcript.pyannote[962].start 7635.88409375
transcript.pyannote[962].end 7641.72284375
transcript.pyannote[963].speaker SPEAKER_18
transcript.pyannote[963].start 7642.00971875
transcript.pyannote[963].end 7642.02659375
transcript.pyannote[964].speaker SPEAKER_10
transcript.pyannote[964].start 7642.02659375
transcript.pyannote[964].end 7652.60721875
transcript.pyannote[965].speaker SPEAKER_18
transcript.pyannote[965].start 7642.09409375
transcript.pyannote[965].end 7642.11096875
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 7642.12784375
transcript.pyannote[966].end 7643.62971875
transcript.pyannote[967].speaker SPEAKER_18
transcript.pyannote[967].start 7652.60721875
transcript.pyannote[967].end 7660.65659375
transcript.pyannote[968].speaker SPEAKER_17
transcript.pyannote[968].start 7660.65659375
transcript.pyannote[968].end 7660.67346875
transcript.pyannote[969].speaker SPEAKER_10
transcript.pyannote[969].start 7660.79159375
transcript.pyannote[969].end 7661.61846875
transcript.pyannote[970].speaker SPEAKER_17
transcript.pyannote[970].start 7661.61846875
transcript.pyannote[970].end 7661.66909375
transcript.pyannote[971].speaker SPEAKER_18
transcript.pyannote[971].start 7661.66909375
transcript.pyannote[971].end 7661.97284375
transcript.pyannote[972].speaker SPEAKER_17
transcript.pyannote[972].start 7661.97284375
transcript.pyannote[972].end 7667.35596875
transcript.pyannote[973].speaker SPEAKER_10
transcript.pyannote[973].start 7661.98971875
transcript.pyannote[973].end 7662.52971875
transcript.pyannote[974].speaker SPEAKER_13
transcript.pyannote[974].start 7677.51471875
transcript.pyannote[974].end 7679.03346875
transcript.pyannote[975].speaker SPEAKER_17
transcript.pyannote[975].start 7679.21909375
transcript.pyannote[975].end 7679.94471875
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 7687.47096875
transcript.pyannote[976].end 7726.26659375
transcript.pyannote[977].speaker SPEAKER_11
transcript.pyannote[977].start 7688.55096875
transcript.pyannote[977].end 7688.61846875
transcript.pyannote[978].speaker SPEAKER_12
transcript.pyannote[978].start 7688.61846875
transcript.pyannote[978].end 7688.65221875
transcript.pyannote[979].speaker SPEAKER_11
transcript.pyannote[979].start 7688.65221875
transcript.pyannote[979].end 7688.90534375
transcript.pyannote[980].speaker SPEAKER_13
transcript.pyannote[980].start 7726.40159375
transcript.pyannote[980].end 7772.58846875
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 7773.09471875
transcript.pyannote[981].end 7787.47221875
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 7787.94471875
transcript.pyannote[982].end 7788.55221875
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 7789.05846875
transcript.pyannote[983].end 7791.77534375
transcript.pyannote[984].speaker SPEAKER_13
transcript.pyannote[984].start 7792.39971875
transcript.pyannote[984].end 7792.92284375
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 7793.17596875
transcript.pyannote[985].end 7797.31034375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 7797.98534375
transcript.pyannote[986].end 7801.57971875
transcript.pyannote[987].speaker SPEAKER_13
transcript.pyannote[987].start 7801.90034375
transcript.pyannote[987].end 7803.50346875
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 7803.79034375
transcript.pyannote[988].end 7805.20784375
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 7805.96721875
transcript.pyannote[989].end 7807.90784375
transcript.pyannote[990].speaker SPEAKER_13
transcript.pyannote[990].start 7808.65034375
transcript.pyannote[990].end 7809.44346875
transcript.pyannote[991].speaker SPEAKER_10
transcript.pyannote[991].start 7809.44346875
transcript.pyannote[991].end 7809.67971875
transcript.pyannote[992].speaker SPEAKER_13
transcript.pyannote[992].start 7809.67971875
transcript.pyannote[992].end 7812.27846875
transcript.pyannote[993].speaker SPEAKER_10
transcript.pyannote[993].start 7809.71346875
transcript.pyannote[993].end 7816.02471875
transcript.pyannote[994].speaker SPEAKER_13
transcript.pyannote[994].start 7816.02471875
transcript.pyannote[994].end 7829.96346875
transcript.pyannote[995].speaker SPEAKER_10
transcript.pyannote[995].start 7817.00346875
transcript.pyannote[995].end 7817.23971875
transcript.pyannote[996].speaker SPEAKER_10
transcript.pyannote[996].start 7829.96346875
transcript.pyannote[996].end 7849.26846875
transcript.pyannote[997].speaker SPEAKER_13
transcript.pyannote[997].start 7844.91471875
transcript.pyannote[997].end 7873.16346875
transcript.pyannote[998].speaker SPEAKER_10
transcript.pyannote[998].start 7850.41596875
transcript.pyannote[998].end 7851.96846875
transcript.pyannote[999].speaker SPEAKER_00
transcript.pyannote[999].start 7851.96846875
transcript.pyannote[999].end 7852.23846875
transcript.pyannote[1000].speaker SPEAKER_10
transcript.pyannote[1000].start 7858.17846875
transcript.pyannote[1000].end 7859.74784375
transcript.pyannote[1001].speaker SPEAKER_10
transcript.pyannote[1001].start 7861.68846875
transcript.pyannote[1001].end 7861.97534375
transcript.pyannote[1002].speaker SPEAKER_13
transcript.pyannote[1002].start 7873.38284375
transcript.pyannote[1002].end 7875.96471875
transcript.pyannote[1003].speaker SPEAKER_10
transcript.pyannote[1003].start 7875.96471875
transcript.pyannote[1003].end 7876.03221875
transcript.pyannote[1004].speaker SPEAKER_13
transcript.pyannote[1004].start 7876.03221875
transcript.pyannote[1004].end 7876.04909375
transcript.pyannote[1005].speaker SPEAKER_10
transcript.pyannote[1005].start 7876.04909375
transcript.pyannote[1005].end 7876.30221875
transcript.pyannote[1006].speaker SPEAKER_13
transcript.pyannote[1006].start 7876.30221875
transcript.pyannote[1006].end 7894.29096875
transcript.pyannote[1007].speaker SPEAKER_10
transcript.pyannote[1007].start 7876.36971875
transcript.pyannote[1007].end 7877.46659375
transcript.pyannote[1008].speaker SPEAKER_00
transcript.pyannote[1008].start 7885.90409375
transcript.pyannote[1008].end 7886.35971875
transcript.pyannote[1009].speaker SPEAKER_00
transcript.pyannote[1009].start 7886.78159375
transcript.pyannote[1009].end 7886.96721875
transcript.pyannote[1010].speaker SPEAKER_00
transcript.pyannote[1010].start 7887.03471875
transcript.pyannote[1010].end 7892.11409375
transcript.pyannote[1011].speaker SPEAKER_13
transcript.pyannote[1011].start 7894.62846875
transcript.pyannote[1011].end 7909.96784375
transcript.pyannote[1012].speaker SPEAKER_10
transcript.pyannote[1012].start 7904.28096875
transcript.pyannote[1012].end 7906.69409375
transcript.pyannote[1013].speaker SPEAKER_10
transcript.pyannote[1013].start 7909.96784375
transcript.pyannote[1013].end 7912.02659375
transcript.pyannote[1014].speaker SPEAKER_13
transcript.pyannote[1014].start 7912.02659375
transcript.pyannote[1014].end 7912.38096875
transcript.pyannote[1015].speaker SPEAKER_10
transcript.pyannote[1015].start 7912.38096875
transcript.pyannote[1015].end 7912.61721875
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 7912.61721875
transcript.pyannote[1016].end 7912.97159375
transcript.pyannote[1017].speaker SPEAKER_10
transcript.pyannote[1017].start 7912.97159375
transcript.pyannote[1017].end 7912.98846875
transcript.pyannote[1018].speaker SPEAKER_13
transcript.pyannote[1018].start 7912.98846875
transcript.pyannote[1018].end 7913.96721875
transcript.pyannote[1019].speaker SPEAKER_10
transcript.pyannote[1019].start 7913.96721875
transcript.pyannote[1019].end 7919.46846875
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 7914.01784375
transcript.pyannote[1020].end 7916.12721875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 7918.05096875
transcript.pyannote[1021].end 7951.31159375
transcript.pyannote[1022].speaker SPEAKER_10
transcript.pyannote[1022].start 7923.85596875
transcript.pyannote[1022].end 7924.17659375
transcript.pyannote[1023].speaker SPEAKER_10
transcript.pyannote[1023].start 7924.29471875
transcript.pyannote[1023].end 7924.34534375
transcript.pyannote[1024].speaker SPEAKER_00
transcript.pyannote[1024].start 7933.33971875
transcript.pyannote[1024].end 7934.33534375
transcript.pyannote[1025].speaker SPEAKER_10
transcript.pyannote[1025].start 7950.02909375
transcript.pyannote[1025].end 7958.34846875
transcript.pyannote[1026].speaker SPEAKER_13
transcript.pyannote[1026].start 7951.71659375
transcript.pyannote[1026].end 7951.88534375
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 7958.34846875
transcript.pyannote[1027].end 7958.48346875
transcript.pyannote[1028].speaker SPEAKER_10
transcript.pyannote[1028].start 7958.48346875
transcript.pyannote[1028].end 7960.17096875
transcript.pyannote[1029].speaker SPEAKER_13
transcript.pyannote[1029].start 7958.56784375
transcript.pyannote[1029].end 7965.87471875
transcript.pyannote[1030].speaker SPEAKER_17
transcript.pyannote[1030].start 7964.86221875
transcript.pyannote[1030].end 7968.40596875
transcript.pyannote[1031].speaker SPEAKER_17
transcript.pyannote[1031].start 7970.59971875
transcript.pyannote[1031].end 7974.53159375
transcript.pyannote[1032].speaker SPEAKER_17
transcript.pyannote[1032].start 7975.30784375
transcript.pyannote[1032].end 7976.91096875
transcript.pyannote[1033].speaker SPEAKER_17
transcript.pyannote[1033].start 7977.48471875
transcript.pyannote[1033].end 7981.23096875
transcript.pyannote[1034].speaker SPEAKER_17
transcript.pyannote[1034].start 7981.41659375
transcript.pyannote[1034].end 7984.08284375
transcript.pyannote[1035].speaker SPEAKER_17
transcript.pyannote[1035].start 7984.16721875
transcript.pyannote[1035].end 7989.85409375
transcript.pyannote[1036].speaker SPEAKER_17
transcript.pyannote[1036].start 7990.39409375
transcript.pyannote[1036].end 8000.21534375
transcript.pyannote[1037].speaker SPEAKER_17
transcript.pyannote[1037].start 8000.33346875
transcript.pyannote[1037].end 8008.66971875
transcript.pyannote[1038].speaker SPEAKER_17
transcript.pyannote[1038].start 8009.96909375
transcript.pyannote[1038].end 8018.64284375
transcript.pyannote[1039].speaker SPEAKER_17
transcript.pyannote[1039].start 8019.18284375
transcript.pyannote[1039].end 8020.83659375
transcript.pyannote[1040].speaker SPEAKER_17
transcript.pyannote[1040].start 8021.30909375
transcript.pyannote[1040].end 8023.80659375
transcript.pyannote[1041].speaker SPEAKER_17
transcript.pyannote[1041].start 8024.27909375
transcript.pyannote[1041].end 8027.18159375
transcript.pyannote[1042].speaker SPEAKER_20
transcript.pyannote[1042].start 8027.94096875
transcript.pyannote[1042].end 8036.26034375
transcript.pyannote[1043].speaker SPEAKER_20
transcript.pyannote[1043].start 8036.32784375
transcript.pyannote[1043].end 8046.57096875
transcript.pyannote[1044].speaker SPEAKER_20
transcript.pyannote[1044].start 8046.82409375
transcript.pyannote[1044].end 8047.66784375
transcript.pyannote[1045].speaker SPEAKER_20
transcript.pyannote[1045].start 8047.87034375
transcript.pyannote[1045].end 8049.38909375
transcript.pyannote[1046].speaker SPEAKER_20
transcript.pyannote[1046].start 8049.45659375
transcript.pyannote[1046].end 8057.77596875
transcript.pyannote[1047].speaker SPEAKER_20
transcript.pyannote[1047].start 8057.94471875
transcript.pyannote[1047].end 8074.09409375
transcript.pyannote[1048].speaker SPEAKER_17
transcript.pyannote[1048].start 8075.69721875
transcript.pyannote[1048].end 8078.46471875
transcript.pyannote[1049].speaker SPEAKER_17
transcript.pyannote[1049].start 8079.61221875
transcript.pyannote[1049].end 8080.81034375
transcript.pyannote[1050].speaker SPEAKER_17
transcript.pyannote[1050].start 8081.35034375
transcript.pyannote[1050].end 8082.44721875
transcript.pyannote[1051].speaker SPEAKER_17
transcript.pyannote[1051].start 8082.75096875
transcript.pyannote[1051].end 8093.19659375
transcript.pyannote[1052].speaker SPEAKER_20
transcript.pyannote[1052].start 8091.37409375
transcript.pyannote[1052].end 8091.76221875
transcript.pyannote[1053].speaker SPEAKER_20
transcript.pyannote[1053].start 8093.73659375
transcript.pyannote[1053].end 8099.22096875
transcript.pyannote[1054].speaker SPEAKER_20
transcript.pyannote[1054].start 8099.59221875
transcript.pyannote[1054].end 8102.64659375
transcript.pyannote[1055].speaker SPEAKER_20
transcript.pyannote[1055].start 8102.86596875
transcript.pyannote[1055].end 8104.82346875
transcript.pyannote[1056].speaker SPEAKER_20
transcript.pyannote[1056].start 8105.04284375
transcript.pyannote[1056].end 8105.68409375
transcript.pyannote[1057].speaker SPEAKER_20
transcript.pyannote[1057].start 8105.83596875
transcript.pyannote[1057].end 8107.77659375
transcript.pyannote[1058].speaker SPEAKER_20
transcript.pyannote[1058].start 8108.01284375
transcript.pyannote[1058].end 8109.93659375
transcript.pyannote[1059].speaker SPEAKER_20
transcript.pyannote[1059].start 8110.13909375
transcript.pyannote[1059].end 8111.20221875
transcript.pyannote[1060].speaker SPEAKER_20
transcript.pyannote[1060].start 8111.45534375
transcript.pyannote[1060].end 8113.29471875
transcript.pyannote[1061].speaker SPEAKER_20
transcript.pyannote[1061].start 8113.44659375
transcript.pyannote[1061].end 8114.13846875
transcript.pyannote[1062].speaker SPEAKER_20
transcript.pyannote[1062].start 8114.30721875
transcript.pyannote[1062].end 8116.70346875
transcript.pyannote[1063].speaker SPEAKER_20
transcript.pyannote[1063].start 8116.90596875
transcript.pyannote[1063].end 8118.54284375
transcript.pyannote[1064].speaker SPEAKER_20
transcript.pyannote[1064].start 8118.62721875
transcript.pyannote[1064].end 8121.04034375
transcript.pyannote[1065].speaker SPEAKER_20
transcript.pyannote[1065].start 8121.31034375
transcript.pyannote[1065].end 8129.61284375
transcript.pyannote[1066].speaker SPEAKER_20
transcript.pyannote[1066].start 8129.73096875
transcript.pyannote[1066].end 8133.66284375
transcript.pyannote[1067].speaker SPEAKER_20
transcript.pyannote[1067].start 8133.81471875
transcript.pyannote[1067].end 8136.00846875
transcript.pyannote[1068].speaker SPEAKER_20
transcript.pyannote[1068].start 8136.27846875
transcript.pyannote[1068].end 8140.91909375
transcript.pyannote[1069].speaker SPEAKER_20
transcript.pyannote[1069].start 8141.22284375
transcript.pyannote[1069].end 8145.01971875
transcript.pyannote[1070].speaker SPEAKER_20
transcript.pyannote[1070].start 8145.23909375
transcript.pyannote[1070].end 8146.48784375
transcript.pyannote[1071].speaker SPEAKER_20
transcript.pyannote[1071].start 8146.85909375
transcript.pyannote[1071].end 8149.17096875
transcript.pyannote[1072].speaker SPEAKER_20
transcript.pyannote[1072].start 8149.20471875
transcript.pyannote[1072].end 8150.04846875
transcript.pyannote[1073].speaker SPEAKER_17
transcript.pyannote[1073].start 8151.28034375
transcript.pyannote[1073].end 8154.48659375
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 8155.58346875
transcript.pyannote[1074].end 8160.02159375
transcript.pyannote[1075].speaker SPEAKER_20
transcript.pyannote[1075].start 8160.47721875
transcript.pyannote[1075].end 8165.70846875
transcript.pyannote[1076].speaker SPEAKER_20
transcript.pyannote[1076].start 8166.14721875
transcript.pyannote[1076].end 8169.04971875
transcript.pyannote[1077].speaker SPEAKER_20
transcript.pyannote[1077].start 8169.38721875
transcript.pyannote[1077].end 8170.93971875
transcript.pyannote[1078].speaker SPEAKER_20
transcript.pyannote[1078].start 8171.20971875
transcript.pyannote[1078].end 8173.48784375
transcript.pyannote[1079].speaker SPEAKER_20
transcript.pyannote[1079].start 8173.79159375
transcript.pyannote[1079].end 8176.89659375
transcript.pyannote[1080].speaker SPEAKER_20
transcript.pyannote[1080].start 8176.93034375
transcript.pyannote[1080].end 8178.21284375
transcript.pyannote[1081].speaker SPEAKER_20
transcript.pyannote[1081].start 8178.39846875
transcript.pyannote[1081].end 8181.11534375
transcript.pyannote[1082].speaker SPEAKER_20
transcript.pyannote[1082].start 8181.40221875
transcript.pyannote[1082].end 8185.40159375
transcript.pyannote[1083].speaker SPEAKER_20
transcript.pyannote[1083].start 8185.57034375
transcript.pyannote[1083].end 8196.03284375
transcript.pyannote[1084].speaker SPEAKER_20
transcript.pyannote[1084].start 8196.28596875
transcript.pyannote[1084].end 8199.13784375
transcript.pyannote[1085].speaker SPEAKER_20
transcript.pyannote[1085].start 8199.55971875
transcript.pyannote[1085].end 8204.53784375
transcript.pyannote[1086].speaker SPEAKER_20
transcript.pyannote[1086].start 8204.87534375
transcript.pyannote[1086].end 8206.05659375
transcript.pyannote[1087].speaker SPEAKER_20
transcript.pyannote[1087].start 8206.20846875
transcript.pyannote[1087].end 8207.17034375
transcript.pyannote[1088].speaker SPEAKER_20
transcript.pyannote[1088].start 8207.62596875
transcript.pyannote[1088].end 8211.28784375
transcript.pyannote[1089].speaker SPEAKER_20
transcript.pyannote[1089].start 8211.37221875
transcript.pyannote[1089].end 8212.18221875
transcript.pyannote[1090].speaker SPEAKER_17
transcript.pyannote[1090].start 8212.94159375
transcript.pyannote[1090].end 8215.35471875
transcript.pyannote[1091].speaker SPEAKER_17
transcript.pyannote[1091].start 8216.80596875
transcript.pyannote[1091].end 8219.30346875
transcript.pyannote[1092].speaker SPEAKER_17
transcript.pyannote[1092].start 8222.15534375
transcript.pyannote[1092].end 8224.93971875
transcript.pyannote[1093].speaker SPEAKER_17
transcript.pyannote[1093].start 8225.32784375
transcript.pyannote[1093].end 8227.45409375
transcript.pyannote[1094].speaker SPEAKER_17
transcript.pyannote[1094].start 8227.70721875
transcript.pyannote[1094].end 8230.01909375
transcript.pyannote[1095].speaker SPEAKER_17
transcript.pyannote[1095].start 8230.72784375
transcript.pyannote[1095].end 8237.15721875
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 8237.62971875
transcript.pyannote[1096].end 8239.30034375
transcript.pyannote[1097].speaker SPEAKER_17
transcript.pyannote[1097].start 8239.68846875
transcript.pyannote[1097].end 8245.99971875
transcript.pyannote[1098].speaker SPEAKER_17
transcript.pyannote[1098].start 8246.32034375
transcript.pyannote[1098].end 8248.02471875
transcript.pyannote[1099].speaker SPEAKER_17
transcript.pyannote[1099].start 8248.34534375
transcript.pyannote[1099].end 8255.78721875
transcript.pyannote[1100].speaker SPEAKER_17
transcript.pyannote[1100].start 8256.79971875
transcript.pyannote[1100].end 8257.62659375
transcript.pyannote[1101].speaker SPEAKER_17
transcript.pyannote[1101].start 8258.09909375
transcript.pyannote[1101].end 8261.99721875
transcript.pyannote[1102].speaker SPEAKER_17
transcript.pyannote[1102].start 8262.16596875
transcript.pyannote[1102].end 8263.14471875
transcript.pyannote[1103].speaker SPEAKER_17
transcript.pyannote[1103].start 8264.14034375
transcript.pyannote[1103].end 8265.77721875
transcript.pyannote[1104].speaker SPEAKER_17
transcript.pyannote[1104].start 8267.00909375
transcript.pyannote[1104].end 8267.27909375
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 8268.20721875
transcript.pyannote[1105].end 8270.21534375
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 8270.35034375
transcript.pyannote[1106].end 8271.49784375
transcript.pyannote[1107].speaker SPEAKER_17
transcript.pyannote[1107].start 8272.08846875
transcript.pyannote[1107].end 8277.06659375
transcript.pyannote[1108].speaker SPEAKER_17
transcript.pyannote[1108].start 8278.58534375
transcript.pyannote[1108].end 8280.52596875
transcript.pyannote[1109].speaker SPEAKER_17
transcript.pyannote[1109].start 8281.63971875
transcript.pyannote[1109].end 8284.32284375
transcript.pyannote[1110].speaker SPEAKER_17
transcript.pyannote[1110].start 8284.86284375
transcript.pyannote[1110].end 8286.21284375
transcript.pyannote[1111].speaker SPEAKER_17
transcript.pyannote[1111].start 8286.80346875
transcript.pyannote[1111].end 8298.36284375
transcript.pyannote[1112].speaker SPEAKER_17
transcript.pyannote[1112].start 8298.56534375
transcript.pyannote[1112].end 8300.03346875
transcript.pyannote[1113].speaker SPEAKER_17
transcript.pyannote[1113].start 8300.25284375
transcript.pyannote[1113].end 8305.99034375
transcript.pyannote[1114].speaker SPEAKER_17
transcript.pyannote[1114].start 8306.22659375
transcript.pyannote[1114].end 8307.22221875
transcript.pyannote[1115].speaker SPEAKER_17
transcript.pyannote[1115].start 8307.30659375
transcript.pyannote[1115].end 8313.02721875
transcript.pyannote[1116].speaker SPEAKER_17
transcript.pyannote[1116].start 8313.53346875
transcript.pyannote[1116].end 8329.05846875
transcript.pyannote[1117].speaker SPEAKER_17
transcript.pyannote[1117].start 8329.36221875
transcript.pyannote[1117].end 8329.63221875
transcript.pyannote[1118].speaker SPEAKER_17
transcript.pyannote[1118].start 8330.25659375
transcript.pyannote[1118].end 8334.42471875
transcript.whisperx[0].start 1827.675
transcript.whisperx[0].end 1830.674
transcript.whisperx[0].text 報告聯席會初期委員16人以主法定人數
transcript.whisperx[1].start 1833.135
transcript.whisperx[1].end 1835.916
transcript.whisperx[1].text 司法互助條約案。宣讀完畢。
transcript.whisperx[2].start 1863.75
transcript.whisperx[2].end 1891.485
transcript.whisperx[2].text 我們在介紹在場委員跟官員之前本席再次宣告因為今天我們外交國防委員會是兩段會議所以容我比較囉嗦一點把它講清楚來第一個我們第二段有關這三個國家的條約案我們發言登記截止到11點我們以往慣例是到10點半我們今天發言登記到11點那如果有臨時提案
transcript.whisperx[3].start 1892.665
transcript.whisperx[3].end 1917.375
transcript.whisperx[3].text 請在11點前提出,我們在11點半左右試尋答情形會進行處理。因為今天是跟司法法制聯席審查,我們時間會縮短,本聯席會的委員4加2分鐘,非聯席會的委員4分鐘做這個宣告。另外,我們剛才在第一段會議就已經預告了,再宣告一次。
transcript.whisperx[4].start 1919.156
transcript.whisperx[4].end 1946.438
transcript.whisperx[4].text 林佳龍部長今天列席會議但是因為下午1點半以後有公務那已經在昨天提出請假按照召委職權給予準價所以林佳龍部長會列席到1點30分那1點30分之後改由政務次長吳志忠代表列席再次宣告我們先介紹在場委員羅美玲委員
transcript.whisperx[5].start 1949.557
transcript.whisperx[5].end 1975.207
transcript.whisperx[5].text 網易川委員我們今天列席的官員有外交部長林佳龍、亞東太平洋司司長藍夏禮、亞非司司長賀忠義、歐洲司司長黃軍耀、拉美及加勒比海司司長鄭麗成、
transcript.whisperx[6].start 1978.325
transcript.whisperx[6].end 2002.397
transcript.whisperx[6].text 北美司副司長焦國祐,王司長梁玉,另有藥工,所以代理。不過這個以後事前要先給我加單,這個我們有提醒過,事前一個個人加單,原則上我們會尊重公務,但不要臨時看到出席表才知道。來,條法司的副司長許博義,你們司長今天
transcript.whisperx[7].start 2003.337
transcript.whisperx[7].end 2003.998
transcript.whisperx[7].text 國際組織司司長孫簡元
transcript.whisperx[8].start 2018.184
transcript.whisperx[8].end 2022.469
transcript.whisperx[8].text 國際合作及經濟事務司副司長林美辰國傳司司長徐永梅
transcript.whisperx[9].start 2042.421
transcript.whisperx[9].end 2043.582
transcript.whisperx[9].text 人事處副處長吳迪文,黃麗玲處長請假,公眾外交協調會副執行長蕭光偉,
transcript.whisperx[10].start 2070.784
transcript.whisperx[10].end 2095.664
transcript.whisperx[10].text 領事事務局局長何承環其他部會列席的官員法務部政務司長黃士傑國際級兩岸法律司司長孟玉梅司法院刑事廳法官黃湘瑩內政部警政署副署長李正曉
transcript.whisperx[11].start 2098.618
transcript.whisperx[11].end 2112.409
transcript.whisperx[11].text 刑事警察局副局長林信雄、國際組組長林妙玲、法務部調查局國際事務處處長馬忠亮。以上是列席的官員。
transcript.whisperx[12].start 2121.062
transcript.whisperx[12].end 2128.587
transcript.whisperx[12].text 審查剛才已經宣讀名稱的三項條約案。首先請外交部林佳雯部長就三項條約案進行報告。來部長請。主席、各位委員先進、各位女士先生大家好。以下請就
transcript.whisperx[13].start 2144.02
transcript.whisperx[13].end 2169.493
transcript.whisperx[13].text 臺德刑事司法互助協議、臺土刑事司法互助條約以及臺陸刑事司法互助條約來提出報告,進行各位委員會議指教。」那麼首先說明一下簽署的背景跟過程那在臺德刑事司法互助協議部分呢臺德同樣是民主法治的國家那雙方在各領域均有密切交流跟合作
transcript.whisperx[14].start 2170.573
transcript.whisperx[14].end 2195.665
transcript.whisperx[14].text 在102年之間簽署了《臺德移交受刑人及合作執行刑法協議》之後,迄今已將數名在臺服刑的德籍受刑人陸續移交反德服刑。近年來因跨國犯罪日增,雙方均體認到唯有司法機關之間透過司法互助,使能兼顧打擊跨境犯罪及保障人權。
transcript.whisperx[15].start 2196.866
transcript.whisperx[15].end 2221.337
transcript.whisperx[15].text 乃至106年間其推動洽簽本案,其間不為全球疫情的限制、國際局勢變動的挑戰,仍持續積極溝通協商,終究條約內容獲至共識,並於112年3月23日在本部田中光次長及法務部蔡前部長
transcript.whisperx[16].start 2222.912
transcript.whisperx[16].end 2243.093
transcript.whisperx[16].text 建政之下由駐德國代表處的謝大使自委以及德國在台協會許處長宥格來共同簽署。雙方未來在跨境犯罪案件的調查取證程序上將互相提供更多的協助以確保程序更加完備。那麼在《台土刑事司法互助條約》方面
transcript.whisperx[17].start 2244.279
transcript.whisperx[17].end 2264.184
transcript.whisperx[17].text 我國與吐瓦魯國之間的邦誼賭幕。今年普歡慶建交45週年,賴清德總統在本月出訪吐瓦魯國時,與吐國的總理戴斐麗簽署了《深化全面夥伴關係聯合公報》,開啟兩國合作的新篇章。
transcript.whisperx[18].start 2265.044
transcript.whisperx[18].end 2282.578
transcript.whisperx[18].text 為增進我國與吐瓦魯國之間的司法合作,兩國在111年間完成簽署海巡警政合作協定之後,互積極推動司法機關之間締結刑事司法互助條約,經過磋商以及交換修正意見之後,在112年之間達成了條約草案的共識。
transcript.whisperx[19].start 2288.522
transcript.whisperx[19].end 2306.91
transcript.whisperx[19].text 並於同年6月2日由法務部蔡清祥前部長與土國司法通訊暨外交部長柯菲共同簽署,將司法合作層級提升至雙方中央主管機關間的直接聯繫,增進刑事偵查效率及實益,更將兩國關心向前推進。
transcript.whisperx[20].start 2308.37
transcript.whisperx[20].end 2313.151
transcript.whisperx[20].text 第三、審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請
transcript.whisperx[21].start 2337.176
transcript.whisperx[21].end 2342.92
transcript.whisperx[21].text 刑事司法互助條約刑事司法互助條約刑事司法互助條約刑事司法互助條約刑事司法互助條約刑事司法互助條約刑事司法互助條約刑事
transcript.whisperx[22].start 2354.807
transcript.whisperx[22].end 2374.519
transcript.whisperx[22].text 蔡清祥前部長與陸國外交、國際貿易、民航暨僑務部長包提斯分別在同年的8月16日、10月26日完成異地簽署以彰顯我國與友邦攜手共同打擊跨境犯罪貢獻心力的具體成果。那麼條約的主要內容敬請參考書面的報告。
transcript.whisperx[23].start 2377.481
transcript.whisperx[23].end 2399.899
transcript.whisperx[23].text 有關簽署的效益,我國與德國、吐瓦魯國跟聖露西亞同為追求民主、自由、法治的理念相近國家。吐瓦魯國跟聖露西亞更是我國的忠實友邦。上述三約生效之後,將使我國與德國、吐瓦魯國及聖露西亞在刑事司法互助領域之各項合作有明確執法源依據。
transcript.whisperx[24].start 2401.2
transcript.whisperx[24].end 2427.773
transcript.whisperx[24].text 徹以擴大及深化雙方的合作範圍,降低以往跨境取證的困難度,縮減人力及時間成本,提升犯罪偵查效率及審判定罪率,展現我國對於打擊跨境犯罪,捍衛司法主權的堅定信念及豐碩的成果,對於拓展雙邊各領域合作關係及鞏固邦誼,均有極為正面的效益。我國迄今已與美國、菲律賓、南非、波蘭、諾魯、
transcript.whisperx[25].start 2429.634
transcript.whisperx[25].end 2454.633
transcript.whisperx[25].text 貝里斯、斯洛伐克、聖文森及格雷納丁以及帛琉等國簽署的刑事司法互助條約或協定,未來仍將持續規劃與友邦、新南向政策國家以及其他理念相近國家洽商司法互助相關條約協定以落實打擊跨國犯罪並兼顧人權的保障。以上報告敬請各位委員不吝指教。謝謝大家。
transcript.whisperx[26].start 2455.293
transcript.whisperx[26].end 2483.485
transcript.whisperx[26].text 好,謝謝部長,部長請回接下來請法務部黃政務次長就三項條約案進行報告主席、各位委員、各位女士先生、各位媒體朋友大家早安今天很榮幸奉邀列席外交及國防、司法及法制委員會聯席會議就行政院函請審議臺德刑事司法互助協議
transcript.whisperx[27].start 2484.585
transcript.whisperx[27].end 2505.68
transcript.whisperx[27].text 及臺土司法互助條約及臺陸刑事司法互助條約案提出報告並被質詢。以下簡要說明各條約的內容跟相關的效益。臺德刑事司法互助協議為我國與歐洲國家間簽署之第三個
transcript.whisperx[28].start 2506.621
transcript.whisperx[28].end 2532.328
transcript.whisperx[28].text 刑事司法互助協定。本協議自106年起推動洽簽,經過相當多的努力,終於在112年的3月23日洽簽完成,誠如林部長所述。也是我們在106年雙方簽署移交受刑人及合作執行刑法協議之後,又一個重大的進展。
transcript.whisperx[29].start 2534.268
transcript.whisperx[29].end 2557.897
transcript.whisperx[29].text 對於深化臺德之間的學術跟實務的合作有相當大的意義。這個協務司法互助的項目相當多,請參閱書面。其中最重要的幾個亮點的突破,包括雙方可以依各自的法律就個案來成立聯合偵查團隊,派遣到對方的境內來聯合進行偵查。
transcript.whisperx[30].start 2561.338
transcript.whisperx[30].end 2588.098
transcript.whisperx[30].text 並且也可以視訊的詢問以及用科技的方法來做偵查的接軌。在有關個人資料處理的保護上也與歐盟的規定接軌將有助於我國進一步開展與歐盟其他各國之間的刑事司法互助跟犯罪偵查合作的約定對於國人與歐盟各國之間往來的權益保障會更加的完善。
transcript.whisperx[31].start 2590.99
transcript.whisperx[31].end 2614.552
transcript.whisperx[31].text 所以本部將會持續拓展深化與德國跟歐洲各國在司法互助與受刑移交、引渡等等領域的全面的司法合作關係來打擊犯罪保障國人的安全。第二項是臺土司法互助條約。吐瓦魯是我國在大洋洲的邦交國與我國向來友好,也是我們邦誼最久的邦交國。
transcript.whisperx[32].start 2616.214
transcript.whisperx[32].end 2629.723
transcript.whisperx[32].text 兩國在111年9月簽署警政合作協定後,為求進一步強化司法領域的合作,積極感謝外交部與本部同仁的努力,積極與吐瓦魯洽簽本次司法互助條約。
transcript.whisperx[33].start 2637.948
transcript.whisperx[33].end 2662.944
transcript.whisperx[33].text 司法互助的項目跟特色也請參閱書面。當然,在本條約生效之後,雙方的司法主管機關,就我國的法務部跟吐瓦魯國檢察總長的辦公室,就可以不用再透過外交途徑,可以直接聯繫來執行本條約,會大幅提高司法合作的效率。
transcript.whisperx[34].start 2663.524
transcript.whisperx[34].end 2671.31
transcript.whisperx[34].text 刑事司法互助條約案。四、審查行政院函請審議.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。
transcript.whisperx[35].start 2692.586
transcript.whisperx[35].end 2699.33
transcript.whisperx[35].text 以及跟世界各國並肩打擊犯罪的堅強決心。第三、審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請審查行政院函請
transcript.whisperx[36].start 2714.478
transcript.whisperx[36].end 2741.041
transcript.whisperx[36].text 這次條約如果生效的話同樣也是可以未來司法互助的中央主管機關就我國的法務部跟聖露西亞的檢查總署可以不用再迂迴透過外交途徑就可以直接聯繫來傳遞司法互助的請求案那麼也可以擇期舉行諮商會議增進司法互助的項目那麼雙方未來在互助的項目上可以透過私訊的詢問
transcript.whisperx[37].start 2742.603
transcript.whisperx[37].end 2758.363
transcript.whisperx[37].text 等科技方法以及跨國共同偵查犯罪,大幅縮減跨境取證耗費的勞力、時間和費用,來達成共同打擊跨境犯罪提升定罪率的目的。」
transcript.whisperx[38].start 2759.664
transcript.whisperx[38].end 2783.853
transcript.whisperx[38].text 由於聖露西亞地處加勒比海地區與美國以及中南美洲各國鄰近且互動頻繁,我國國人在美國及中南美洲投資、經商、定居求學工作者眾,所以此條約生效後,也有助於強化我國更加深入北洲國家區域的司法合作強度與密度。
transcript.whisperx[39].start 2787.008
transcript.whisperx[39].end 2804.113
transcript.whisperx[39].text 本條約作為我國與交流平台友邦簽署的第二個司法互助條約,深具既往開來之意義,也為我國與友邦間司法合作模式紮根,朝持續拓展、深化與各邦交國在司法互助授權移交、引渡等領域的司法合作關係來邁進,
transcript.whisperx[40].start 2806.293
transcript.whisperx[40].end 2830.784
transcript.whisperx[40].text 這三個條約在各該對方國家的內部、內國程序都已完備所以我們今天說我們大願審議完成生效之後這些條約在我們通知各該國家之後就會立刻來生效所以懇請各位委員大力來支持讓我們的司法互助可以往前邁進謝謝大家謝謝謝謝黃士傑次長
transcript.whisperx[41].start 2833.649
transcript.whisperx[41].end 2859.466
transcript.whisperx[41].text 那其他機關的報告我們就請同仁們參閱書面資料我們就不再上台報告了那接下來開始進行詢答本聯席會委員4加2分鐘非聯席會委員4分鐘我們剛已經宣告11點發言登記截止那再次提醒若有臨時提案請在11點前提出11點半左右本席會試會議狀況來進行處理首先請羅美玲委員上台進行詢答
transcript.whisperx[42].start 2868.469
transcript.whisperx[42].end 2872.922
transcript.whisperx[42].text 謝謝主席,有請外交部林佳龍部長,還有法務部黃士傑次長。
transcript.whisperx[43].start 2882.723
transcript.whisperx[43].end 2910.993
transcript.whisperx[43].text 兩位早安台灣確實跟德國還有吐瓦魯跟聖露西亞的這個刑事司法互助協議如果通過的話呢在我國的這個司法互助上其實就有很大的這個進展跟這個突破那最近的本席有發現就是說荷蘭的眾議院通過了一項友台動議那建議荷蘭政府參考德國的模式也意跟台灣簽署這個刑事司法互助的這個協定並指出
transcript.whisperx[44].start 2912.013
transcript.whisperx[44].end 2936.44
transcript.whisperx[44].text 臺德合作經驗在打擊洗錢、網路犯罪等跨國犯罪領域可以發揮關鍵的作用。」所以我想先請教我們林部長那針對這個荷蘭眾議院的這個動議我們是否已經展開相關的合作的推動因為荷蘭主動提出那我方是不是應該積極來做這個接觸請問這個部分呢我們有沒有進一步的進展好 總委員報告
transcript.whisperx[45].start 2938.32
transcript.whisperx[45].end 2965.888
transcript.whisperx[45].text 在荷蘭眾議院通過這一個動議之後本部就有協助法務部就此來指派專人擔任跟荷方對接的承辦窗口相關資訊也已經通知了駐荷蘭代表處該處也已經跟荷方展開溝通這個模式我們認為很值得來推廣就台德的這個協議進一步再跟歐洲其他我們尤其是這些
transcript.whisperx[46].start 2967.068
transcript.whisperx[46].end 2972.131
transcript.whisperx[46].text 民主法治的國家能夠比照來推動。請問次長有沒有要補充的部分呢?
transcript.whisperx[47].start 2991.798
transcript.whisperx[47].end 3011.839
transcript.whisperx[47].text 謝謝委員觀詢跟詮詢在外交部的協助底下我們也積極回應目前本部的國際及兩岸法律司已經指定跟荷蘭方聯繫窗口所以目前我們會積極的跟外交部一起來洽談我們也希望用最快的速度來促成這個事情的完成
transcript.whisperx[48].start 3012.419
transcript.whisperx[48].end 3036.245
transcript.whisperx[48].text OK好謝謝次長那我先請外交部先回座那下一個我想要請教的就是說我們法務部那臺灣在這個司法互助方面我們運作基本上是非常的這個穩定可是隨著這個跨國犯罪的案件量的熱議的增長那我們現行的逐案請求模式在程序上面它是比較繁瑣的
transcript.whisperx[49].start 3037.345
transcript.whisperx[49].end 3061.813
transcript.whisperx[49].text 在加三跟合作國家之間可能我們有一些法律體系上面的差異導致在處理資產凍結或是跨國證據調取像這些案件的時候呢效率其實基本上會受到一些限制那像歐盟的這個相互承認原則是一個很值得我們去參考的一個範例那它的關鍵在於就是說成員國之間直接承認彼此的這個司法決定
transcript.whisperx[50].start 3062.133
transcript.whisperx[50].end 3069.136
transcript.whisperx[50].text 函請審議:「中華民國(臺灣.政府與聖露西亞政府刑事司法互助條約案。二、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。三、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。四、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞
transcript.whisperx[51].start 3090.006
transcript.whisperx[51].end 3090.646
transcript.whisperx[51].text 司法互助協議案。四、審查行政院函請審議
transcript.whisperx[52].start 3106.876
transcript.whisperx[52].end 3110.157
transcript.whisperx[52].text 刑事司法互助條約案。四、審查行政院函請審議(臺灣.政府與聖露西亞政府刑事司法互助條約案。
transcript.whisperx[53].start 3134.941
transcript.whisperx[53].end 3135.141
transcript.whisperx[53].text 司法協會函請審議
transcript.whisperx[54].start 3151.56
transcript.whisperx[54].end 3170.608
transcript.whisperx[54].text 當然如果你說全面就像市長剛才所講的可能有很多的這個每個國家他的這個機制並不一樣你要達到一個協同的話可能有一些困難度可是我們可以從比如說我剛才所提到的高需求的領域來先做著手我想這個部分的話應該是有可行的空間
transcript.whisperx[55].start 3170.908
transcript.whisperx[55].end 3198.937
transcript.whisperx[55].text 我們都會在跟各個國家在研修、討論簽訂這個司法互助協定的時候都會把剛剛提到的這些委員所指出的非常重要的這些領域納入譬如說我們今天審議的這個臺德司法互助協議裡面我們的第6條就有規定包含這個取得人之共數、收入擴大還有剛剛委員提到的資產凍結跟執行這些部分這個跟犯罪有關的沒收或是追徵以及資產共享
transcript.whisperx[56].start 3200.998
transcript.whisperx[56].end 3223.022
transcript.whisperx[56].text 這部分我們其實都有把它放到這個協定裡面那即使目前還未洽簽協定那我們依據這個各國依照互惠的原則來提出司法互助請求的時候在歐洲的部分事實上目前這個互動的情形也相當的良好所以我們會持續的努力累積這個個案的經驗之後王委員所提出的這個方向來努力
transcript.whisperx[57].start 3223.522
transcript.whisperx[57].end 3248.3
transcript.whisperx[57].text OK好謝謝市長所以我最後還是要呼籲我們行政部門我們先從現在現有的這個合作基礎來做出發加速推動司法互助的這個升級那在法規的調整跟信任基礎上面能投入更多的資源來讓臺灣在國際舞台上面有更大的這個發揮的這個影響力OK好以上謝謝好謝謝委員謝謝好謝謝羅美玲委員各位請回接下來進行巡大委員林楚英委員
transcript.whisperx[58].start 3259.84
transcript.whisperx[58].end 3261.925
transcript.whisperx[58].text 謝主席 主席先請外交部林部長來 部長請
transcript.whisperx[59].start 3270.879
transcript.whisperx[59].end 3276.261
transcript.whisperx[59].text 部長長,進入今天的條約簽訂的主題之前,我想要先請問您,我們上個星期五因為這個財政收支劃分法已經重新的來做翻修,那麼我們知道3700億對於整體的中央政府總預算來講大概就是28%的中央政府的可以運用的經費現在必須要依照新法如果總統公告之後,那麼可能會影響到的是中央政府的各個部會
transcript.whisperx[60].start 3299.491
transcript.whisperx[60].end 3323.056
transcript.whisperx[60].text 那麼昨天陸續其實包括像國防部這邊也出估了大概就是有800億的部分那麼包括經濟部啦衛福部都有不知道外交部這邊有沒有來盤點那麼我們知道外交工作有很多的部分其實都是在海外其實不論是我們外交鞏固邦誼或者是拓展我們新的外交關係都是需要的那麼部長有沒有盤點過對於整個外交部的影響是什麼
transcript.whisperx[61].start 3326.281
transcript.whisperx[61].end 3344.989
transcript.whisperx[61].text 跟委員報告外交部有盤點因為外交部主管相關114年度的預算案在稅出編列是319億如果按照這一個三減就扣除掉法律義務支出84億有其他的235億將受到影響因為這樣一比例三減如果是28%的話就是65億
transcript.whisperx[62].start 3352.612
transcript.whisperx[62].end 3378.787
transcript.whisperx[62].text 這個會明顯很直接的衝擊到我們外交工作,特別是在國際組織、交流還有跟友邦的合作計畫。這個都是,尤其是包括我們駐外管處的一些運作當然也都會連帶受到影響。好,那麼我們看到的是最新的財政委員會,下個禮拜開會的時候,他們的召委陳玉珍就已經要求要重新來編訂跟評估,部長怎麼看?
transcript.whisperx[63].start 3383.831
transcript.whisperx[63].end 3397.426
transcript.whisperx[63].text 因為其實這個關鍵在做財劃法的修改跟配套因為它的這個支出跟收入還有相關的一個需要
transcript.whisperx[64].start 3399.261
transcript.whisperx[64].end 3402.646
transcript.whisperx[64].text 刑事司法互助條約案。四、審查行政院函請審議(臺灣.政府與聖露西亞政府刑事司法互助條約案。五、審查行政院函請審議
transcript.whisperx[65].start 3414.582
transcript.whisperx[65].end 3415.803
transcript.whisperx[65].text 三、審查行政院函請審議:「中華民國(臺灣.政府與聖露西亞政府刑事
transcript.whisperx[66].start 3434.765
transcript.whisperx[66].end 3450.401
transcript.whisperx[66].text 那麼信友的福利之外其實國家不論是外交或國防相對的重要在這個部分的影響性我建議部長也必須把它具體化的落實讓民眾知道因為不論國防或外交其實是守護國家非常重要的第一道防線所以在這裡也提醒部長
transcript.whisperx[67].start 3452.763
transcript.whisperx[67].end 3469.523
transcript.whisperx[67].text 因為預期心理,因為這個預算的不確定性,我們很多規劃或很多的要洽商的事情就沒辦法展開,因為公務員是依法行政的,所以這個即使是延後去重新編列,那一拖半年,那我們的政務會受到很大的影響。
transcript.whisperx[68].start 3469.923
transcript.whisperx[68].end 3486.313
transcript.whisperx[68].text 尤其是很多外交工作其實不能等,我們不能跟我們的友邦說,抱歉,你等等一下,我們預算沒有下來,那麼我們到底要怎麼樣處理。所以在這裡,其實對於外交業務的衝擊的部分,外交部也有這個責任,必須要讓全國民眾知道。好,那麼我回到,我們,來下一頁。
transcript.whisperx[69].start 3488.935
transcript.whisperx[69].end 3512.812
transcript.whisperx[69].text 有關於今天我們講到的是三跟三個友邦所簽訂的司法互助的協定那我們都知道其實對於民眾來講公開政府的資訊公開對於民眾相對是非常重要的部長您知道我們現在有多少友邦來簽訂協定嗎我們就是有六個友邦然後有六個不是我們的邦交國好來我要請這個黃政次主席來
transcript.whisperx[70].start 3517.955
transcript.whisperx[70].end 3533.366
transcript.whisperx[70].text 本席在法務部上面的網站目前看到的司法互助跟協定是看到20筆可是在外交部的條約協定的資料庫看到的卻是23筆我想就叫兩位到底誰的哪一邊的資料是正確的好來部長
transcript.whisperx[71].start 3543.715
transcript.whisperx[71].end 3572.839
transcript.whisperx[71].text 因為我們現在是講一些刑事互助方面我剛提到那當然有一些民事還有其他的包括一些合作的一個項目所以說外交部是因為又涵蓋了其他的一些民事上面的部分嗎來,市長因為那個我們跟幾個國家包括越南在內我們另外簽的是民事的司法互助協定
transcript.whisperx[72].start 3573.439
transcript.whisperx[72].end 3573.739
transcript.whisperx[72].text 刑事司法互助條約案。
transcript.whisperx[73].start 3593.666
transcript.whisperx[73].end 3609.338
transcript.whisperx[73].text 法務部的網頁沒有錯但是如果跟民事有關會通通涵蓋在外交部這裡但是這個其實會讓民眾會有一些產生一些confuse包括本席在了解的時候就會覺得說怎麼會一個是20筆一個是23筆那麼我認為讓民眾來查詢也了解自己的權利是蠻重要的在這個部分建議用一個更有效的方式來公開讓民眾來了解
transcript.whisperx[74].start 3619.745
transcript.whisperx[74].end 3646.419
transcript.whisperx[74].text 那我們回去之後研議一下看是不是要跟外交部來投布當然這個事涉這個權管所以我們還是要跟這個外交部來討論一下也許全部都由外交部來公布或是怎麼樣那我覺得這個其實是可以好好來研議最後一點點時間我要問的就是剛剛有講到台核那麼本席因為是台法的國會聯誼會的會長法國這裡其實也在關心司法互助的進度那麼不知道現在台法之間的司法互助有沒有什麼新的進度
transcript.whisperx[75].start 3647.379
transcript.whisperx[75].end 3672.319
transcript.whisperx[75].text 跟委員報告因為法方目前在積極跟我們洽談受刑人移交相關的協議因為雙方從107年開始討論到現在還有一些關鍵的問題還在洽談當中因為現在法方比較積極所以我們也會跟外交部這邊協同用最快的速度積極來辦理相關的事務
transcript.whisperx[76].start 3673.08
transcript.whisperx[76].end 3673.38
transcript.whisperx[76].text 刑事司法互助條約案。四、審查行政院函請審議
transcript.whisperx[77].start 3702.731
transcript.whisperx[77].end 3702.751
transcript.whisperx[77].text 審議案。
transcript.whisperx[78].start 3717.457
transcript.whisperx[78].end 3734.343
transcript.whisperx[78].text 部長早部長我們在今天主要是外交部報告有三個跟國外政府簽訂的條約協議那其中一項是中華民國臺灣政府跟聖露西亞政府刑事司法
transcript.whisperx[79].start 3735.063
transcript.whisperx[79].end 3738.784
transcript.whisperx[79].text 政府互助條約案。四、審查行政院函請審議.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。六、審查行政院函請審議.臺灣.政府互助條約案。
transcript.whisperx[80].start 3762.662
transcript.whisperx[80].end 3791.33
transcript.whisperx[80].text 涉嫌進行販毒,所以遭美方的司法部門逮捕。」那這個案子有結果了嗎?這個案子就是美方在偵辦中。可是他有認罪了。對。對,他有認罪了。那剛剛我們在從辦公室過來之前,我們還是看到聖露西亞的那個官方網站上面還放著就是我們派的這一位外交
transcript.whisperx[81].start 3792.677
transcript.whisperx[81].end 3796.118
transcript.whisperx[81].text 司法互助條約案。四、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。六、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。
transcript.whisperx[82].start 3819.548
transcript.whisperx[82].end 3821.572
transcript.whisperx[82].text 進行當中,我們是不是今天在簽這個報告的內容跟聖露西亞是不是我們應該讓他們很清楚的知道,這個應該不要放在網站上了。
transcript.whisperx[83].start 3835.053
transcript.whisperx[83].end 3862.685
transcript.whisperx[83].text 當然聖露西亞方面都了解我們有跟他保持聯繫我請我同仁來說明一下為什麼沒有在他上面呈現首先先跟委員報告這個案子從案發一開始我們就透過駐外管處我們聖露西亞大使館已經跟聖露政府已經保持密切的聯繫但是之前案情在進行當中所以聖露西亞完全知情那相關的進展我們也有跟聖露西亞保持雙向的溝通
transcript.whisperx[84].start 3863.405
transcript.whisperx[84].end 3863.726
transcript.whisperx[84].text 報告委員 報告委員
transcript.whisperx[85].start 3878.567
transcript.whisperx[85].end 3881.128
transcript.whisperx[85].text 聖露西亞大使館和聖國政府有保持密切聯繫有部分要跟委員澄清的是我們的替代藝男被領選進來去參與我們的外交替代藝男的這個業務的時候其實是經過公開領選的
transcript.whisperx[86].start 3897.515
transcript.whisperx[86].end 3899.636
transcript.whisperx[86].text 這個過程沒有關係聽我講完我沒有要聽你解釋前面的這一段因為也許我們不知道可是當他被美國逮捕以後我們有義務要告訴聖露西亞因為他就是我們的邦交國而且你今天拿出來的
transcript.whisperx[87].start 3917.407
transcript.whisperx[87].end 3917.747
transcript.whisperx[87].text 司法互助條約案。
transcript.whisperx[88].start 3934.518
transcript.whisperx[88].end 3938.302
transcript.whisperx[88].text 我們已經告訴聖露西亞大使館已經有告訴聖露西亞大使館在把最新的這個狀況告訴的我們最新的狀況其實昨天的公文就已經出去了
transcript.whisperx[89].start 3952.517
transcript.whisperx[89].end 3953.058
transcript.whisperx[89].text 刑事司法互助條約案。
transcript.whisperx[90].start 3970.277
transcript.whisperx[90].end 3974.378
transcript.whisperx[90].text 如果我們都知道不會外交部不知道今天因為這個還我們推薦的人剛開始我們不知道那個沒話說可是他已經被美國逮捕然後他已經在司法進行當中他可能很快就會受到審判那在這個過程當中我們就應該要很明確的告訴他這個人並不是適合放在官方網站上面因為那一篇也是我們寫給他們的
transcript.whisperx[91].start 3997.225
transcript.whisperx[91].end 4000.39
transcript.whisperx[91].text 他們在不知情的情況之下他們也放在上面我們是去教人家的警察做這些事所以很負責任的去告訴聖露西亞不然你今天這個非常的諷刺今天我們提出來要審這個
transcript.whisperx[92].start 4012.709
transcript.whisperx[92].end 4019.973
transcript.whisperx[92].text 司法互助是非常諷刺的因為我們沒有好好的去告知人家這個部分我們希望馬上就看到結果因為我來之前還在網站上面還看到這個是第一個接下來我們希望馬上可以處理喔因為你禮拜五才發信而已部長這個再請您可以去詳細的了解一下不然我覺得我們今天審這個真的是沒有意義那第二個我想要請教的是
transcript.whisperx[93].start 4041.044
transcript.whisperx[93].end 4049.309
transcript.whisperx[93].text 部長我們一般外交豁免權大概指豁免什麼?就是在雙邊的條件之下?當然除了對於像當然是稅的問題啦、車牌啦還有其他我想豁免就是以外交管轄權的有一些涉及的司法等等
transcript.whisperx[94].start 4062.658
transcript.whisperx[94].end 4069.304
transcript.whisperx[94].text 這個部分因為可能沒有辦法很完整的說明清楚那是不是就外交部在非邦交國的這個駐外管人員我們想要知道的是哪些國家是具有完整的外交豁免權哪一些國家是只有部分的豁免權或者哪一些國家是完全沒有的是不是請外交部可以提供相關的資料給本席
transcript.whisperx[95].start 4089.881
transcript.whisperx[95].end 4093.505
transcript.whisperx[95].text 二、審查行政院函請審議:「中華民國(臺灣.政府與聖露西亞政府刑事司法互助條約。三、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約。
transcript.whisperx[96].start 4105.177
transcript.whisperx[96].end 4108.079
transcript.whisperx[96].text 我們大概要知道說有哪些啦不好意思主席借一點點時間因為我們在預算審查的時候也有提到因為我們也覺得這個非常重要就是我們中東的三個國家
transcript.whisperx[97].start 4125.752
transcript.whisperx[97].end 4133.297
transcript.whisperx[97].text 是有正式派駐代表在我們這裡,雖然是屬於經貿類的,可是雙方也非常長的時間,甚至不管是在軍事或者公共安全,甚至教育交流的部分,其實都維持很長的時間,像約旦,而且我們有很多如果要學阿語的部分,其實也都是送到約旦去那裡受訓的,包括我們的軍方人員。
transcript.whisperx[98].start 4151.87
transcript.whisperx[98].end 4159.677
transcript.whisperx[98].text 所以在這裡我們要看到就是說我想要請教之前因為商會的部分目前的處理結果怎麼樣我們除了就是
transcript.whisperx[99].start 4165.793
transcript.whisperx[99].end 4174.038
transcript.whisperx[99].text 對外交特權的保障:立法院第11屆第2會期外交及國防、司法及法制委員會第1屆第2會期外交及國防、司法及法制委員會第1屆第2會期外交及國防、司法及法制委員會第1屆第2會期外交及國防、司法及法制委員會第1屆第2會期外交及國防、司法及法制委員會
transcript.whisperx[100].start 4192.668
transcript.whisperx[100].end 4213.562
transcript.whisperx[100].text 因為這三個不太一樣,那我們也都有在做,其實都把它當作是,就是駐台的這個有嘛,有嘛,有跟警察單位講了,可是他們可能沒有接到警察單位約談的時候,我們第一時間就有,就有出面可是你要讓,對,應該要讓他們知道要持續跟三個駐台的單位保持聯絡關懷他們
transcript.whisperx[101].start 4218.565
transcript.whisperx[101].end 4231.075
transcript.whisperx[101].text 現在我們特別再提出來是因為他們完全沒有接到相關的訊息所以我們在雙方雙邊的這樣子的交流互動上面可能有一些問題應該是有啦因為我有責成我們同仁要跟他們保持聯繫關懷沒有關係除了外交部的部分可能有涉及內政部或警政署我們也一定都要來關心請把書面資料提供給本席就是我們有通知我們的作為啦關心然後協助
transcript.whisperx[102].start 4246.007
transcript.whisperx[102].end 4250.851
transcript.whisperx[102].text 另外還有對內的商會我們的做法是什麼因為他甚至用這樣公開的名義去募款在國內募款都已經是違法可是他用商會的名義去對外募款包括我們的邦交國這樣會造成誤導這個部分我們到底有什麼樣的做法也請提供書面資料給本席那最後我想要強調的是我想要請教就是我們現在駐約旦安曼的
transcript.whisperx[103].start 4272.566
transcript.whisperx[103].end 4296.481
transcript.whisperx[103].text 那個代表處現在住的那個住處是怎麼來的目前有人知道嗎約旦安曼的那個那個代表處長久以來就有我們的市長對我知道是舊的那個是怎麼來的你知道嗎有人知道嗎買的租的借的對是買的租的還是什麼現在是我們的自由管社對啊那是怎麼來的
transcript.whisperx[104].start 4297.785
transcript.whisperx[104].end 4301.246
transcript.whisperx[104].text 是當時雙邊的政府經過這個協議約單的政府送的嘛對不對今天如果人家過去我們現在要買都花很多的錢現在都花很多的錢我們希望就這個部分我們應該怎麼樣對等的互惠尤其怎麼樣保障他們在這裡的安全跟權益我想這個是我們應該要做的好不好
transcript.whisperx[105].start 4322.475
transcript.whisperx[105].end 4329.861
transcript.whisperx[105].text 審查行政院函請審議:「中華民國(臺灣.政府與吐瓦魯國政府刑事司法互助條約。三、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約。四、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約。
transcript.whisperx[106].start 4360.8
transcript.whisperx[106].end 4387.631
transcript.whisperx[106].text 主席請外交部林部長來,部長請部長委員好辛苦啦,終於等到你啦我也是啦你也是啦12月24號外交部發了一個新聞送給國人一個很大的禮物部長記得是什麼事嗎?
transcript.whisperx[107].start 4389.519
transcript.whisperx[107].end 4392.261
transcript.whisperx[107].text 二、審查行政院函請審議:「中華民國(臺灣.政府與吐瓦魯國政府刑事
transcript.whisperx[108].start 4412.269
transcript.whisperx[108].end 4425.818
transcript.whisperx[108].text 跟外交的記者我們辦了一個活動是你們今年有試辦一個有條件線上身外護照辦簽證護照那你們24號有宣布從明年的1月1號開始試辦擴大然後沒有上線了就沒有每日申請的上線了這個要讓國人知道
transcript.whisperx[109].start 4439.471
transcript.whisperx[109].end 4440.932
transcript.whisperx[109].text 刑事司法互助條約案。四、審查行政院函請審議
transcript.whisperx[110].start 4457.538
transcript.whisperx[110].end 4470.36
transcript.whisperx[110].text 那針對今天的題目啊三個國家我們簽了這個協議站在外交部的立場有沒有發現這三個國家簽了協議的名字都不一樣是
transcript.whisperx[111].start 4472.558
transcript.whisperx[111].end 4493.96
transcript.whisperx[111].text 當然因為有涉及到條約、協定或協議或其他的各種的名詞當然也涉及到有沒有正式的外交關係基本上效率是一致的每個國家的程序又不太一樣像我們臺德就是謝大使簽的
transcript.whisperx[112].start 4495.121
transcript.whisperx[112].end 4507.249
transcript.whisperx[112].text 然後呢我們跟吐瓦魯跟聖露西亞是我們的法務部長簽的那我想請教一下就是說這個過程中,這個要請法務部黃執長請問一下實務上,因為我們現在簽的國家看起來很少,有簽跟沒簽的差別到底在哪裡?
transcript.whisperx[113].start 4520.123
transcript.whisperx[113].end 4532.97
transcript.whisperx[113].text 這個分這個不同的性質,假設我們跟邦交國所簽的協議的話,譬如說我們常常在這個電視上看到這個壓解,有一些國家就詐騙了,全部帶回來了。
transcript.whisperx[114].start 4535.211
transcript.whisperx[114].end 4563.406
transcript.whisperx[114].text 那些國家我看起來也沒有在這個簽的名單裡頭嘛所以有簽跟沒簽到底差別在哪裡?最大的差別就是說就條約裡面所規定的司法互助項目就不需要再透過外交的途徑以及互惠原則而可以直接依照這個協定由雙邊的司法主管機關就是指定條約裡面指定的司法主管機關來提出司法互助的請求所以在執行上面會更有效率
transcript.whisperx[115].start 4563.766
transcript.whisperx[115].end 4583.974
transcript.whisperx[115].text 如果就有約定的項目,也會更加的確保,一定可以成功完成司法互助的工作。那這些條約的內容,我看到我們的邦交國,那兩個邦交國,就吐瓦魯跟聖露西亞這兩個邦交國,條文的內容幾乎一模一樣,所以顯然應該就是我們法務部主導的條文內容。
transcript.whisperx[116].start 4585.956
transcript.whisperx[116].end 4609.306
transcript.whisperx[116].text 這個其實在國際上都有這個相關的這個慣例可是我們跟德國就不一樣對對對因為他們跟他們可能有不同的這個要求因為德國跟很多國家有簽啊是是是所以我們要跟他簽我們要跟他們跟別的國家簽的所以為什麼跟每個國家簽的時候都要個別去磋商好那我請問一下我們跟我們的邦交國的這些文字是不是基本上都長一樣
transcript.whisperx[117].start 4617.439
transcript.whisperx[117].end 4628.967
transcript.whisperx[117].text 市長,所有條約或協定都是跟該國所協商、洽商的結果內容,所以我們跟邦交國所簽的也許大同小異,但是也是會有些微的不一樣。
transcript.whisperx[118].start 4630.578
transcript.whisperx[118].end 4653.431
transcript.whisperx[118].text 最後我請教一下這一個柯文哲案,裡頭有一個叫橘子的徐子瑜,現在不知道他人一對,如果他在的國家被我們法務部知道他在哪裡了,假設啦,假設知道在哪裡,我們沒有跟他簽協議,就要透過外交管道是不是,你們就沒辦法去處理是不是。
transcript.whisperx[119].start 4654.401
transcript.whisperx[119].end 4677.648
transcript.whisperx[119].text 我們這個部分等一下可能可以請調查局來說明就是境外的這個國人假設是有通緝的情形那我們駐外的法務秘書或是說相關的警務合作的這個狀況也都可以直接來做這個協詢但是呢如果確定找到人之後可能還是要透過司法互助的管道來做這個相關的這個下談
transcript.whisperx[120].start 4679.165
transcript.whisperx[120].end 4690.424
transcript.whisperx[120].text 對那所以說如果沒有跟我們有這一種互助的這一種關係的話那還是要透過外交的管道還是要透過外交所以就會拖比較長的時間程序會比較複雜
transcript.whisperx[121].start 4691.89
transcript.whisperx[121].end 4718.227
transcript.whisperx[121].text 就是比較間接合作的項目因為沒有協定來規定所以這個合作項目對方是否同意就要跟他們磋商那我們現階段就是說這個可能你們在進行中也不好意思透現階段我們還是會跟很多不是我們的邦交國在陸續在談這些的內容對不對那只要成果就會跟國人做報告好大家辛苦啦好謝謝各位好謝謝委員
transcript.whisperx[122].start 4719.488
transcript.whisperx[122].end 4739.51
transcript.whisperx[122].text 好,謝謝王一川委員,各位請回。好,接下來進行詢問委員是陳冠廷委員。你好,我們請部長。來,部長請。
transcript.whisperx[123].start 4749.234
transcript.whisperx[123].end 4773.409
transcript.whisperx[123].text 今天除了就條約地結案之外我可能也會就美國的最新的政情來跟你請教一下這個條約地結案剛才這個委員有提到的一些部分那不管是用協定還是不用慣例採用的一些邦交的詞彙條約、協定那是不是因為說會因為邦誼的狀況不同受中國的影響然後去做例外的使用
transcript.whisperx[124].start 4777.478
transcript.whisperx[124].end 4785.909
transcript.whisperx[124].text 會不會因為邦誼有狀況受中國影響,所以有些可能條約變成協定,協定變成其他的說法,這種可能性是有沒有存在的?
transcript.whisperx[125].start 4786.496
transcript.whisperx[125].end 4809.841
transcript.whisperx[125].text 我想在邦交國方面是都以條約、協定為主至於說非邦交國不敢用協議或其他互助的什麼樣的一個方式這當然有他們國內法可能在要不要經過一個什麼樣的立法程序包括國會用的名稱包括簽署的單位
transcript.whisperx[126].start 4812.679
transcript.whisperx[126].end 4814.26
transcript.whisperx[126].text 刑事司法互助條約案。
transcript.whisperx[127].start 4827.977
transcript.whisperx[127].end 4851.37
transcript.whisperx[127].text 西班牙裔背景的犯罪者在臺灣,我們後來遣返是透過德國。」我的意思是說在條約的過程當中在審議或者是對方在外交管道在交流的時候有沒有可能藉此得知說可能這一個國家邦誼狀況有問題所以說他開始把一些用字從條約協定再往下降
transcript.whisperx[128].start 4852.15
transcript.whisperx[128].end 4859.841
transcript.whisperx[128].text 你們有沒有過去有這樣的經驗?這事樣是不是也可以成為一種對於邦交國開始受到影響的一個評估的一個方式?
transcript.whisperx[129].start 4861.072
transcript.whisperx[129].end 4889.022
transcript.whisperx[129].text 我想在邦交國方面洽簽因為既然有邦交那當然沒邦交或是因為有邦交後來斷交而維持原來的這個互助的條約或協定或其他的名稱那因為當時有簽嘛這是有效那是不是要改簽因為它的效力如果沒有排除說因為沒邦交就自動失效的話那還是在有效中像諾魯就是一個例子
transcript.whisperx[130].start 4889.722
transcript.whisperx[130].end 4890.563
transcript.whisperx[130].text 三、審查行政院函請審議
transcript.whisperx[131].start 4914.11
transcript.whisperx[131].end 4935.097
transcript.whisperx[131].text 美國自己本身就要退出的話那我們應該要怎麼辦?所以臺灣要怎麼樣應對這樣子如果美國退出之後的新局?當然外面有一些報導說是不是因為這樣子WHO裡面中國的影響力會增加這值得觀察不過我想如果說美國退出另外成立一個比較國際性的衛生組織那臺灣應該是要第一個報名
transcript.whisperx[132].start 4940.905
transcript.whisperx[132].end 4942.448
transcript.whisperx[132].text 有聽到這樣的說法嗎?因為這個在他的這個就是trust social那個
transcript.whisperx[133].start 4951.872
transcript.whisperx[133].end 4952.912
transcript.whisperx[133].text 函請審議:「中華民國(臺灣.政府與聖露西亞政府刑事
transcript.whisperx[134].start 4975.201
transcript.whisperx[134].end 4985.607
transcript.whisperx[134].text 因為WHO是他點名過而且他是第一任的時候也就是說要退出後來沒有完成整個程序那我們密切觀察因為我們不是WHA這個大會的這個會員國
transcript.whisperx[135].start 4990.31
transcript.whisperx[135].end 5001.845
transcript.whisperx[135].text 不過我們也是積極在爭取參加可是如果有其他的世界衛生組織要成立以美國為主那我們也是理念相近我們也期待我們臺灣能夠一起來推動成立跟參與
transcript.whisperx[136].start 5006.471
transcript.whisperx[136].end 5007.392
transcript.whisperx[136].text 三、審查行政院函請審議
transcript.whisperx[137].start 5025.234
transcript.whisperx[137].end 5031.316
transcript.whisperx[137].text 函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約。三、審查行政院函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約。
transcript.whisperx[138].start 5051.243
transcript.whisperx[138].end 5054.553
transcript.whisperx[138].text 國際上面的論述的方式是不是要隨之改變?你怎麼看?
transcript.whisperx[139].start 5056.525
transcript.whisperx[139].end 5079.371
transcript.whisperx[139].text 我想不管是臺海或俄烏戰爭之間是互相影響那我們對裡面相近國家被侵略我們當然是會表達支持可是同樣的臺海因為這些安全的問題那當然有關臺灣的生存跟發展所以我們自己要強化這個國防也要跟美國加強合作
transcript.whisperx[140].start 5085.913
transcript.whisperx[140].end 5108.825
transcript.whisperx[140].text 這一個我們必須要承擔起臺灣應該承擔這個保衛自己的一個責任那當然也跟美國基於臺灣關係法我們的這一些不管安全還有各方面的合作也是要加強我想我們是更加應該為了要走向更現實主義因為他直接引用我們之前的前外長的這個文章
transcript.whisperx[141].start 5109.545
transcript.whisperx[141].end 5109.765
transcript.whisperx[141].text 防禦臺灣,防禦烏克蘭。」
transcript.whisperx[142].start 5126.579
transcript.whisperx[142].end 5127.359
transcript.whisperx[142].text 三、審查行政院函請審議
transcript.whisperx[143].start 5147.825
transcript.whisperx[143].end 5149.646
transcript.whisperx[143].text 刑事司法互助條約案。四、審查行政院函請審議
transcript.whisperx[144].start 5181.621
transcript.whisperx[144].end 5182.742
transcript.whisperx[144].text 有請司法院
transcript.whisperx[145].start 5202.734
transcript.whisperx[145].end 5229.721
transcript.whisperx[145].text 那因為現在已經進行了這一些相關的這個我想說就內容部分我們就我覺得不多看了因為這個畢竟其實應該都是蠻公版的東西那因為我們現在就是要跟這些友邦也包含新南向的政策國家簽訂這一些所以我有些小細節想要問第一個就是目前來講就是我們目前這個遣送中國的這個問題就是說像之前西班牙什麼等等之類的有些國家他們會直接把人送到中國去
transcript.whisperx[146].start 5230.521
transcript.whisperx[146].end 5250.45
transcript.whisperx[146].text 那通常我們知道就是說當然透過一些外交手段等等之類的我會想要阻止這件事情發生那現在就是因為這個是近期之內又有一個這個相關的案件然後呢也是一樣就這個陳姓女子在這個菲律賓發生的案件也被要引渡到中國那目前我們這件事情這一類事情的處理機制大概是如何?好看?
transcript.whisperx[147].start 5255.27
transcript.whisperx[147].end 5256.351
transcript.whisperx[147].text 韓國目前尚未作出要如何處置的最終決定
transcript.whisperx[148].start 5275.147
transcript.whisperx[148].end 5294.494
transcript.whisperx[148].text 在司法互助的請求上面因為本案在我國的檢察機關有立案但是目前尚未接到檢察機關向本部提出司法互助的請求以上狀況跟委員報告因為我現在比較擔心的就是說因為現在中國除了這一類跟詐騙有關的案件之外因為中國畢竟還是會有很多政治的理由比如說台獨22條什麼之類的
transcript.whisperx[149].start 5296.275
transcript.whisperx[149].end 5296.696
transcript.whisperx[149].text 刑事司法互助條約案。
transcript.whisperx[150].start 5310.214
transcript.whisperx[150].end 5336.182
transcript.whisperx[150].text 因為司法互助本質上它也是偵查作為的延伸所以我們基於法務行政的立場我們還是以這個檢察機關或是司法檢察機關它有這個做偵查的這個動作的請求的時候我們才會去啟動相關的機制那如果沒有的話其實是不會那所以如果說剛委員所提到的問題理論上應該比較像是這個外交部的這個權責並不是我們法務部去主動發動的部分這樣
transcript.whisperx[151].start 5338.763
transcript.whisperx[151].end 5356.611
transcript.whisperx[151].text 因為這邊我有放一些法務部的資料就是說這個海峽兩岸這個共同打擊犯罪司法互助協議那現在當然就是說這個我們臺灣其實是很積極向中國在通報的但是反過來講他們常常是遺讀不回他們的法治畢竟跟我們來講還是有一個很大程度的落差
transcript.whisperx[152].start 5357.171
transcript.whisperx[152].end 5375.613
transcript.whisperx[152].text 我現在當然擔心的是兩個,一個就是我們要求的他們不會做到,但他們自己會去做一些有的沒的在其他國家的執法。所以這兩個問題,剛剛有講,第二個我講的這個可能是外交部目前還是比較在著重的。但第一個部分就是說我們去要求,或者我們需要什麼東西,在那邊是拿不到的,那這個狀況現在也是蠻嚴峻的。
transcript.whisperx[153].start 5378.536
transcript.whisperx[153].end 5403.569
transcript.whisperx[153].text 這個部分細節我等一下再請司長來描述但事實上兩岸司法共打的互助協議並沒有中斷也沒有中止我們還是持續互相還是有很多的案件在做往來當然這個有點不對稱的狀況這個可能也是事實但是我還是請司長來跟我們報告一下現在狀況到底是如何
transcript.whisperx[154].start 5403.649
transcript.whisperx[154].end 5406.511
transcript.whisperx[154].text 我看到司法院的書面報告有問到有傳譯的需求、依相關規定、有同意。因為我們現在做這個事情,它一定會有一些視訊等等之類的,同意變得很重要。
transcript.whisperx[155].start 5426.286
transcript.whisperx[155].end 5447.174
transcript.whisperx[155].text 那我關於我們現在要討論的這個案件的同意我待會再問我想先比較general問的就是說我們現在選任同意相關的一些問題那我最主要是想問第二個就是我們現在有時候在翻譯的時候翻了證人的話或者說這一個法官問的問題但他有時候對於其他人講了什麼有時候並沒有辦法如實的一個掌握
transcript.whisperx[156].start 5447.654
transcript.whisperx[156].end 5454.175
transcript.whisperx[156].text 刑事司法互助條約案。四、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。六、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。
transcript.whisperx[157].start 5477.819
transcript.whisperx[157].end 5489.686
transcript.whisperx[157].text 因為我覺得這一個我們整體進展方向會影響到之後我們在簽了這些條約跟協定的時候我們畢竟開始會有視訊嘛我們會有更多其他的國家所以我們原本做得好不好一定會影響到後面這件事情
transcript.whisperx[158].start 5490.996
transcript.whisperx[158].end 5516.035
transcript.whisperx[158].text 是,謝謝委員的關心那像關於這個同意的部分的話目前來講的話像我們法院的話會有一些是有一些特約同意在那這些特約同意他本身必須要語言能力達到中級以上的程度那如果說有的不見得是可以達到這個部分我們還會看他說有沒有在他們那個國家連續居住滿5年的這些相關證明還有甚至有大學或獨立學院的那些語文、翻譯系等這些如果還有這個資格的話這個部分我們都會一併審認
transcript.whisperx[159].start 5518.837
transcript.whisperx[159].end 5522.741
transcript.whisperx[159].text 對對對那這個非常謝謝委員關係我們也是很重視這一塊如果說這邊翻譯不確實的話其實對於當事人權益其實會有很大的侵害所以我們在這個翻譯的這邊的訓練上我們這裡都有在加強那在篩選上我們都會注意他相關的資格這樣子
transcript.whisperx[160].start 5534.855
transcript.whisperx[160].end 5535.236
transcript.whisperx[160].text 法定人數不足
transcript.whisperx[161].start 5550.359
transcript.whisperx[161].end 5577.29
transcript.whisperx[161].text 譬如說他在審判前他會收到這些東西他有沒有辦法好好的閱讀這當然我們是希望說他自己有一些律師但他不一定有相關的人可以幫助他所以要怎麼樣讓他可以比較順暢的走完這一個整個司法的程序這個會影響到我們之後這個視訊相關的就是我們後面講到的我有看到這一個有視訊訊問啊U會議啊微軟teams我有看到這一些嘛所以希望能夠持續的加強原來的作為那這樣的話我們簽這個也才會有意義啦
transcript.whisperx[162].start 5577.85
transcript.whisperx[162].end 5579.831
transcript.whisperx[162].text 謝謝主席我們請王定宇委員謝謝主席,麻煩外交部長、法務部次長以及警政署副署長警部長、次長、署長
transcript.whisperx[163].start 5614.283
transcript.whisperx[163].end 5639.463
transcript.whisperx[163].text 時間有限,幾個問題就交於三位第一個,剛才外交部長提到一個案例有一位西班牙的性犯罪者在台灣那前一段時間媒體也報得很大我剛才聽到是我們是經由跟德國的合作由德國來處理這個遣送引渡的問題嗎?對我這樣理解沒有錯嗎?對那我請教三位我們今天如果跟德國的司法互助、刑事司法互助
transcript.whisperx[164].start 5640.578
transcript.whisperx[164].end 5642.46
transcript.whisperx[164].text 司法互助條約案。四、審查行政院函請審議
transcript.whisperx[165].start 5668.2
transcript.whisperx[165].end 5681.446
transcript.whisperx[165].text 黃市長跟我們報告因為我們基本上簽的還是都是雙邊的協定當然這還是要看說因為剛我有在報告的過程中提到說其實司法互助基本上還是偵查
transcript.whisperx[166].start 5682.926
transcript.whisperx[166].end 5707.354
transcript.whisperx[166].text 審判的作為。所以還是要依照相關的國家有沒有提出這個請求。所以說,如果我在歐盟內部...這個是bilateral,然後用法律的架構嘛。但是我剛才聽到的是西班牙這個案例,我當然細節不了解。我的意思是說,因為歐盟是一個統合的區域,高度統合的區域。那臺灣要一國一國來簽司法互助,顯然也有一些困難,時間要花很久。
transcript.whisperx[167].start 5707.974
transcript.whisperx[167].end 5727.599
transcript.whisperx[167].text 那如果這個模式對打擊犯罪或保障我們受害人有所幫助的話這個模式倒不失為一個方式也許藉由特定國家已經簽署協定的雙方有個默契當然不是每個案子嘛有些比較重要的案子可以透過這樣子間接嫁接的方式來處理歐盟這塊
transcript.whisperx[168].start 5729.26
transcript.whisperx[168].end 5753.492
transcript.whisperx[168].text 在個案上如果德國或是我們有洽簽的國家以及有這個需求的歐盟的其他國家他們有這個意願的話我們當然就是有可能可以透過這個模式在處理但是再來是要個案上去看各個國家的意願這是一個方法但不見得每次都走得通這樣講比較對嘛那另外你剛有提到因為我們跟外國簽訂的司法互助其中跟中國的共打是其中一項嘛
transcript.whisperx[169].start 5754.753
transcript.whisperx[169].end 5782.483
transcript.whisperx[169].text 到今天為止,到今年為止,這個共打有沒有在執行?好,我請司長來說明目前的現狀。來,儘快。這個仍然繼續執行中。今年執行了幾個案例?因為我們跟這個大陸地區的這個司法互助的這個項目有非常的多,有包含了這個文書送達、調查取證、人身自由通報等等。在共打範圍內,第一個我的問題是,是雙項都有在執行還是單項執行?
transcript.whisperx[170].start 5783.843
transcript.whisperx[170].end 5783.863
transcript.whisperx[170].text 函請審議
transcript.whisperx[171].start 5801.637
transcript.whisperx[171].end 5802.538
transcript.whisperx[171].text 警政署副處長
transcript.whisperx[172].start 5818.197
transcript.whisperx[172].end 5843.789
transcript.whisperx[172].text 我們簽訂這些刑事司法互助之後因為現在有一些犯罪是跨境的特別是網路的犯罪那網路的犯罪可能到一般的毀謗高到金融詐騙等等簽訂這個司法互助之後對我們警政署執行跨越國境的網路的他的IP跳接VPN的在執行上有什麼幫助
transcript.whisperx[173].start 5845.305
transcript.whisperx[173].end 5860.219
transcript.whisperx[173].text 當然司法互助的作用當然是比較大那另外我們警政署跟其他的國家也另外會跟這些國家警察對警察會簽訂備忘錄跟合作協定現在有一些IP他是跳來跳去的羅馬尼亞達尼都跳到臺灣來有的是詐騙
transcript.whisperx[174].start 5864.082
transcript.whisperx[174].end 5893.206
transcript.whisperx[174].text 有的可能是對個人的毀謗等等那有時候我們以前講進外的我們沒辦法處理我們可以理解也許在中國的比較難處理但其他國家如果有這樣的合作方案我倒建議警政署應該讓受害者知道說我好難受啊不會遇到他在國外我就一籌莫展政府還是存在政府還是會做事的所以是可以執行的對不對OK好那警政署先請回我最後請教外交部跟法務部我這邊有一個表你可以看到
transcript.whisperx[175].start 5893.806
transcript.whisperx[175].end 5917.698
transcript.whisperx[175].text 我們國家跟各國簽訂司法互助協定的國家在左側這邊你可以看得到那今天會增加吐瓦魯、聖露西亞等等但是我另外右邊這個表示我們國人經常訪問的前十大的國家不管是軍、商、房、旅遊或者去讀書等等很多都還是否、像日本還是否
transcript.whisperx[176].start 5918.578
transcript.whisperx[176].end 5927.127
transcript.whisperx[176].text 刑事司法互助條約案。四、審查行政院函請審議:「中華民國(臺灣)政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國(臺灣)政府與吐瓦魯國政府刑事司法互助條約案。六、審查行政院函請審議:「中華民國(臺灣)政府與吐瓦魯國政府刑事司法互助條約案。
transcript.whisperx[177].start 5941.824
transcript.whisperx[177].end 5966.73
transcript.whisperx[177].text 跟委員報告,剛剛所提到這個國家裡面,那我們今天第二局的報告也有提到,在簽訂,當然我們會盡力,全力都去掐簽正式的這個司法互助協定,但是在協定之前,我們其實也已經跟日本、韓國都已經推動完整備忘錄的這個簽訂。所以我們如果有通緝犯,現在在日本、韓國,我們是有辦法引渡回來的嗎?
transcript.whisperx[178].start 5967.11
transcript.whisperx[178].end 5971.363
transcript.whisperx[178].text 我們就是透過這個司法互助的請求在互惠原則底下
transcript.whisperx[179].start 5975.782
transcript.whisperx[179].end 5984.924
transcript.whisperx[179].text 二、審查行政院函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約案。三、審查行政院函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約案。二、審查行政院函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約案。三、審查行政院函請審議:「中華民國(臺灣)政府與聖露西亞政府刑事司法互助條約案。二、審查行政院函請審議:「中華民國(臺灣)
transcript.whisperx[180].start 6006.894
transcript.whisperx[180].end 6032.771
transcript.whisperx[180].text 謝謝王定義委員現在進行詢問委員吳思耀委員謝謝主席有請林佳龍部長來部長請然後士傑次長來次長
transcript.whisperx[181].start 6037.947
transcript.whisperx[181].end 6046.956
transcript.whisperx[181].text 好,大家辛苦。我就接著剛剛定宇、趙薇所說的,來稍後一下。同樣的來下一頁。依據國際刑事司法互助法,我們來討論今天新增的三個簽訂,來下一頁。我去整理了,現在台灣12個國家來簽訂刑事司法的互助。
transcript.whisperx[182].start 6061.894
transcript.whisperx[182].end 6066.698
transcript.whisperx[182].text 那我針對不同的執政時期大家簽訂的成果
transcript.whisperx[183].start 6070.362
transcript.whisperx[183].end 6091.542
transcript.whisperx[183].text 陳水扁總統的時候,我們那時候簽一國,應該是美國。馬英九總統的時候,我們簽訂了菲律賓跟南非兩個國家。在蔡英文總統任內,其實是6加3。從波蘭、諾魯、貝里斯、斯洛伐克、聖文森、帛琉,然後再加上今天我們這裡要完成程序的,所以是6加3。
transcript.whisperx[184].start 6093.163
transcript.whisperx[184].end 6093.183
transcript.whisperx[184].text 函請審議
transcript.whisperx[185].start 6111.382
transcript.whisperx[185].end 6127.651
transcript.whisperx[185].text 詐騙集團國際刑的偵辦。」所以就事實會說話這幾年民進黨執政我們確實非常的努力我大於肯定下一頁那剛剛順著定宇昭偉所說的他剛剛所做的表格其實跟我這一頁是相仿的
transcript.whisperx[186].start 6128.191
transcript.whisperx[186].end 6143.507
transcript.whisperx[186].text 就是不管是input output、國人出訪或者是來臺旅客的國別統計當中這些前幾名的國家裡頭我們確實都還有要努力積極去洽簽司法互助的國家
transcript.whisperx[187].start 6145.568
transcript.whisperx[187].end 6160.393
transcript.whisperx[187].text 審議。我特別又針對我們臺灣的對內外投資的主要國家以及進出口貿易的主要國家畢竟商務上的一些案件發生也非常多所以說優先爭取簽訂刑事司法互助的對象呢其實從剛剛的國人的出訪或來訪以及我們的商務的往來其實都很清楚的訂定了一個優先
transcript.whisperx[188].start 6172.577
transcript.whisperx[188].end 6178.4
transcript.whisperx[188].text 刑事司法互助條約案。四、審查行政院函請審議:「中華民國.臺灣.政府與吐瓦魯國政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。六、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。
transcript.whisperx[189].start 6192.025
transcript.whisperx[189].end 6195.406
transcript.whisperx[189].text 司法及國防、司法及法制委員會提供的報告。三、審查行政院函請審議.立法院第11屆第2會期外交及國防、司法及法制委員會提供的報告。四、審查行政院函請審議.立法院提供的報告。
transcript.whisperx[190].start 6212.791
transcript.whisperx[190].end 6225.972
transcript.whisperx[190].text 我過去從文化部門去推文化外交,但是外交部絕對需要強強聯手,尤其Team Taiwan,Team Taiwan被世界看見的時候,文化就是最好的一個有效的工具。
transcript.whisperx[191].start 6227.783
transcript.whisperx[191].end 6253.445
transcript.whisperx[191].text Unesco世界遺產,不管是物質或非物質的,臺灣所定加入Unesco或其相關的國際組織,為了讓臺灣的遺產也成為世界的遺產,我分別在上一屆,針對不同的文化部長,也針對不同的行政院院長,從陳建仁到卓榮泰,都say yes。」那我把進度跟您報告,下一頁。
transcript.whisperx[192].start 6255.017
transcript.whisperx[192].end 6273.806
transcript.whisperx[192].text 身列世界文化遺產分有形文資跟無形文資,這個大家很清楚,過去我們琢磨比較多在有形文資,事實上無形文資是現在UNESCO在世界各國推動世界文化遺產最主力的,也就是軟大於硬,而不是過去都是有形的文資。
transcript.whisperx[193].start 6275.529
transcript.whisperx[193].end 6293.014
transcript.whisperx[193].text 所以說呢在我的催生跟要求之下曾經一度停擺的有形文化資產的世界遺產推動會我們終於重組了我謝謝李永德部長、史哲部長到現在的李遠部長所以在這個有形文字的世界遺產推動會重啟之後我們開了兩次會我很快的跟部長報告重要的結論也就是將
transcript.whisperx[194].start 6301.713
transcript.whisperx[194].end 6317.216
transcript.whisperx[194].text 努力加入UNESCO或是其相關的周邊組織,要列為我國外交的重要工作。就如同我們過去WHO、WHA國際刑警組織,我們要把UNESCO教科文的力量作為重點的這個target。
transcript.whisperx[195].start 6318.317
transcript.whisperx[195].end 6344.264
transcript.whisperx[195].text 然後我們要建立跨部會的機制因為以前只有文化部自己很辛苦他需要外交部的助力而且不只外交部要跨部會第三個要擴大產官學研我們的學界要善用他們的力量確實透過國際的論壇我們在跟世界的有形無形的文化資產有很多的互動要給予資源舉辦活動或者是送人出去參加國際的Foreign Conference
transcript.whisperx[196].start 6344.904
transcript.whisperx[196].end 6353.985
transcript.whisperx[196].text 第四、很具體的,我們針對深烈世界文化影響,我們訂定共同訂定了以臺灣的阿里山森林鐵路作為一個最有力的
transcript.whisperx[197].start 6355.071
transcript.whisperx[197].end 6382.097
transcript.whisperx[197].text 必其功於一役。」過去我們有18個世界遺產的潛力點,我們現在把它聚焦在阿里山領帖。所以我,我知道您非常忙,我跟您報告,所以這是我們重點的部分在世界文化遺產的委員會跨部會組成產官學研的第一個大的結論。好,下一頁,下一頁。非物質,我也非常感謝,在我要求之後,中央文化部主責針對非物質文化遺產也組成了推動會。
transcript.whisperx[198].start 6384.538
transcript.whisperx[198].end 6408.095
transcript.whisperx[198].text 剛剛講的阿里山靈鐵那個是有形文化遺產現在無形文化遺產也跟您報告我們優先去參與ICTM就是國際傳統音樂學會讓臺灣的音樂可以打頭風第二個一樣要建立跨部會以及地方政府的溝通平台第三個優先推動的項目是無形文化遺產的紙紮跟塞夏族的矮靈祭
transcript.whisperx[199].start 6413.919
transcript.whisperx[199].end 6433.393
transcript.whisperx[199].text 第四、飲食文化會是臺灣邁向世界文化遺產很有利的一個有賣點的潛力項目。我今天用這個時間我跟您報告下一頁,就是我努力到現在,跨部會集合了、集結了
transcript.whisperx[200].start 6434.454
transcript.whisperx[200].end 6449.01
transcript.whisperx[200].text 文化部繼續再推需要外交部強強聯手還有跨部會跟地方政府我借用這個寶貴的時間拋出來下個會期或在審預算我都會努力的就交於您OK嗎
transcript.whisperx[201].start 6451.668
transcript.whisperx[201].end 6453.269
transcript.whisperx[201].text 刑事司法互助條約案。
transcript.whisperx[202].start 6467.042
transcript.whisperx[202].end 6487.298
transcript.whisperx[202].text 司法及國防部負責觀光,現在到外交部,剛好可以把委員關心的一起串聯起來。所以您是key person,我需要有具體的進度,未來再做探討。好,謝謝主席。歡迎下個會期來我們委員會,歡迎。好,謝謝主席的邀請,謝謝。來,下一個進行訓導委員,徐巧欣委員。
transcript.whisperx[203].start 6500.131
transcript.whisperx[203].end 6501.419
transcript.whisperx[203].text 謝謝主席,我們有請林佳龍部長。
transcript.whisperx[204].start 6511.304
transcript.whisperx[204].end 6539.011
transcript.whisperx[204].text 部長好這次簽訂德國跟吐瓦魯、聖露西亞三國的司法互助條約本席認為是非常好的一個方向簽訂越多的司法互助條約對於未來不管是打詐、人口販運或者是人在國外但是對台灣的民眾進行詐騙而找不到人的這種詐騙整體集團的情形能夠獲得改善的話對國人無疑是一大助力
transcript.whisperx[205].start 6539.651
transcript.whisperx[205].end 6560.81
transcript.whisperx[205].text 對我國的司法體系、典調單位來說有很大的幫助。」但是我要特別問的事情是喔,部長,就您的掌握呢,在臺灣喔,就說在臺灣我們受到國外的這個詐騙,就是說有的是臺灣人在國外然後呢回來詐騙,然後有的是外國人在國外詐騙,這個最多的是在哪一個區域?部長,東南亞
transcript.whisperx[206].start 6564.369
transcript.whisperx[206].end 6566.33
transcript.whisperx[206].text 三、審查行政院函請審議:「中華民國(臺灣)政府與吐瓦魯國政府刑事
transcript.whisperx[207].start 6584.929
transcript.whisperx[207].end 6599.108
transcript.whisperx[207].text 因為柬埔寨是放在越南我們俠館嘛我請我們亞太司來說明說明一下柬埔寨的部分因為大家都很關心先前很多人他們被騙工作然後到柬埔寨去有的是知道自己要去做詐騙集團但是呢無論如何
transcript.whisperx[208].start 6601.792
transcript.whisperx[208].end 6602.652
transcript.whisperx[208].text 司法及法制委員會函請審議。四、審查行政院函請審議
transcript.whisperx[209].start 6619.228
transcript.whisperx[209].end 6644.978
transcript.whisperx[209].text 報告委員因為柬埔寨我們並沒有任何的代表處跟辦事處所以我們是由在越南的駐胡志明辦事處來監俠那我們那邊也有法務部派遣的人員駐外所以只要碰到這一類的情況都是由外交部跟法務部協同然後當地也有一些台商那麼透過各種不同的管道想辦法去營救我們受到詐騙
transcript.whisperx[210].start 6646.358
transcript.whisperx[210].end 6672.807
transcript.whisperx[210].text 現在目前的情況是這樣,除了越南之外,也跟部長報告一下,泰國也有在協助這些柬埔寨的這個國人,泰國跟越南都有,可是幾乎都是請我們的台商幫忙。所以就是說除了台商之外,我覺得呢,我們現在在越南有嘛,在泰國也有嘛,那我們應該要更積極的針對柬埔寨的部分,因為這個在柬埔寨來說的話呢,我們可以看到非常多的新聞,那都是這個,我們其實陸委會也有
transcript.whisperx[211].start 6673.928
transcript.whisperx[211].end 6677.711
transcript.whisperx[211].text 呼籲要合作來調查跟中國大陸這邊來調查柬埔寨的這個情況然後包含柬埔寨的這個人口販運鏈那臺灣的公權力是沒有辦法去企及的這部分我也希望外交部能夠多加重視因為這個事關我國國人的人權
transcript.whisperx[212].start 6691.565
transcript.whisperx[212].end 6713.923
transcript.whisperx[212].text 不管他今天是去大陸,他今天是選元普賽他要做什麼,他是被騙還是他其實自己知道但他被箝制人身自由甚至遭到凌虐的事情我都希望外交部這邊能夠更積極的做處置好,那最後我要特別提醒一件事情就是部長,外交部的網頁一般來說它的維護資訊跟更新頻率為何?您大概知道嗎?
transcript.whisperx[213].start 6715.051
transcript.whisperx[213].end 6716.992
transcript.whisperx[213].text 刑事司法互助條約案。四、審查行政院函請審議
transcript.whisperx[214].start 6736.698
transcript.whisperx[214].end 6755.019
transcript.whisperx[214].text 那我們點進去看這個外交部的駐臺使館裡面呢巴拉圭的網站看起來像是設計得很好的樣子但是呢從我們的外交部的官網提供的吐瓦魯駐中華民國大使館的官網您知道嗎變成賭博網站來我們看一下
transcript.whisperx[215].start 6756.76
transcript.whisperx[215].end 6771.753
transcript.whisperx[215].text 好,這個他是可以播放的嗎?你直接點好了,點給大家看一下。我們駐台使館,然後因為今天討論到吐瓦魯嘛,所以我在這個吐瓦魯我們這個之前我就先去看了一下他們的網址,我們從外交部上面會發生什麼事情。
transcript.whisperx[216].start 6773.374
transcript.whisperx[216].end 6774.215
transcript.whisperx[216].text 刑事司法互助條約案。
transcript.whisperx[217].start 6791.829
transcript.whisperx[217].end 6795.332
transcript.whisperx[217].text 司法互助條約案。四、審查行政院函請審議
transcript.whisperx[218].start 6812.335
transcript.whisperx[218].end 6823.961
transcript.whisperx[218].text 我們部長可不可以回答一下我剛剛是現場操作給你看已經不是截圖了我們剛剛是現場操作給你看我們外交部的網站連到吐瓦魯的官方網站說是吐瓦魯國的大使館連進去之後是這個
transcript.whisperx[219].start 6828.132
transcript.whisperx[219].end 6843.608
transcript.whisperx[219].text 我們來查明你不用查明了我剛剛查明給你看了你要告訴我你要如何處置好不好因為剛剛要查明的部分來我們再操作一次我再查明一次給你看來再貼一次那個網址我們現在查明查明是這樣查明的就是先到外交部
transcript.whisperx[220].start 6844.895
transcript.whisperx[220].end 6845.176
transcript.whisperx[220].text 二、審查行政院函請審議
transcript.whisperx[221].start 6867.275
transcript.whisperx[221].end 6872.66
transcript.whisperx[221].text 我的意思是說如果我們今天要跟人家去簽這個條約的話是不是我們外交部要優先來處理一下我們的這個使館已經變成這樣的情形好不好這個沒有什麼好說的啦就也不用特別回他們的使館啦但我們也是要幫忙不是啦因為我們這個互助都簽了嘛那你這樣子變成說這是博弈網站那我們第一件事情就來處理這個嘛這個查處結果趕快回覆
transcript.whisperx[222].start 6890.854
transcript.whisperx[222].end 6899.556
transcript.whisperx[222].text 對,你連這都沒處理好,那我很難相信說這一份條約有什麼效好,謝謝部長,謝謝好,謝謝委員提醒我們來查明之後來處理啦你們要先確認那個連結有沒有問題那如果沒有問題是幫官方網站出了問題那儘速回覆本委員會,謝謝
transcript.whisperx[223].start 6910.879
transcript.whisperx[223].end 6928.958
transcript.whisperx[223].text 回覆先給那個諮詢委員好,接下來進行詢答委員翁曉琳委員翁曉琳委員翁曉琳委員不在陳俊宇委員陳俊宇委員陳俊宇委員不在鍾嘉斌委員鍾嘉斌委員鍾嘉斌委員不在莊瑞雄委員莊瑞雄委員不在林益君委員請詢答
transcript.whisperx[224].start 6942.435
transcript.whisperx[224].end 6943.716
transcript.whisperx[224].text 謝謝主席有請部長部長你好
transcript.whisperx[225].start 6960.82
transcript.whisperx[225].end 6975.039
transcript.whisperx[225].text 那請問首先我想請問你就是說你知道103年5月的時候馬英九總統的時代因為民進黨立委反應針對駐外外交領事人員的任用條例第三條的條文規定
transcript.whisperx[226].start 6975.72
transcript.whisperx[226].end 6994.137
transcript.whisperx[226].text 除了駐外機構、館長外資源額和技術都不能超過15%,後來有修法調降至10%,而蔡英文執政的時候卻在106年12月修法重新恢復到不得超過15%。雖然外交部有這樣任用的條例規定辦理,
transcript.whisperx[227].start 6995.879
transcript.whisperx[227].end 7012.131
transcript.whisperx[227].text 租外機構館長外員額合計其實都並沒有超過法定上限。有關外交部圖例安插自己人的用財標準,向駐法代表的大使
transcript.whisperx[228].start 7013.154
transcript.whisperx[228].end 7030.78
transcript.whisperx[228].text 在經歷中都沒有外交或國際事務相關,還有現任駐美國公使銜副代表,同樣也沒有外交歷練和幕僚的經歷。而且,還像現在的駐德的代表謝智偉,還有現任的駐日代表李義祥,
transcript.whisperx[229].start 7032.08
transcript.whisperx[229].end 7043.13
transcript.whisperx[229].text 這些都沒有受過外交公務的培訓的訓練,那請問部長這些都是好人選嗎?還有外交部任用政務官是用什麼標準和原則?而且還有現在最近的荷蘭代表處主任調回禮賓師擔任師長,這個職位選缺,而且葡萄牙、西班牙還有我國駐外的單位的主管職現在也在空缺,那請問部長為什麼到現在還欲缺不補?
transcript.whisperx[230].start 7058.703
transcript.whisperx[230].end 7059.183
transcript.whisperx[230].text 刑事司法互助條約案。四、審查行政院函請審議
transcript.whisperx[231].start 7081.716
transcript.whisperx[231].end 7102.615
transcript.whisperx[231].text 就是管處的這些大使或代表是就是來自於多元的社會的一個背景特別是有一些專業我想這個對總和外交對臺灣要走出去除了傳統的外交關係以外我們也是要結合所有包括我們的經濟、文化各種國力
transcript.whisperx[232].start 7104.537
transcript.whisperx[232].end 7104.837
transcript.whisperx[232].text 三、審查行政院函請審議
transcript.whisperx[233].start 7124.24
transcript.whisperx[233].end 7150.114
transcript.whisperx[233].text 更大的一個權限但是待會台灣有這樣一個比例的規定讓我們的外交系統可以多元化的去找但是我先還是想要請教部長一下就是像葡萄牙、西班牙這些到現在還在空缺而且現在外交同仁其實他們都是很認真堅持本分從基層開始為國家開始拚外交那是不是部長在用人方面為財適用是不是要有讓一些專業的為主的來調動這些任職的考量呢
transcript.whisperx[234].start 7153.055
transcript.whisperx[234].end 7167.003
transcript.whisperx[234].text 對,像委員講的,這幾個地方都在作業中,會,應該最近期阿,就會...那有沒有確定人選呢?那部長可以公布一下嗎?有些在作業中了,嘿。是還沒有嗎?因為這個是已經太久了啦。有內定啦。有內定喔?嘿。是部長內定的嗎?
transcript.whisperx[235].start 7172.196
transcript.whisperx[235].end 7198.237
transcript.whisperx[235].text 當然這個要跟總統報告也要經過行政院的程序。好,因為我是希望說不要老是都是用單純任用這些政黨就是的智庫人員啦,還是希望讓那些專業的外交人員可以補足這個規則。有啦,像委員吼,我們這些司處長很優秀,很多都外派,我只是不好意思請他們舉手,不過劉永健吶,我們公眾會我們發言人他明天就要啟程到波蘭。
transcript.whisperx[236].start 7202.995
transcript.whisperx[236].end 7205.537
transcript.whisperx[236].text 法務部次長及警政署副署長
transcript.whisperx[237].start 7210.539
transcript.whisperx[237].end 7217.625
transcript.whisperx[237].text 部長,您也請留步一下。截至7月底,我國和其他國已經簽訂司法互助條約的國家,包含我們今天審查的簽署國,總共有13個國簽署了司法互助的條約。但是從105年蔡英文總統上任後,不是就積極推行新南向政策嗎?但是本席我現在看了13國中,只有越南和菲律賓。請問外交部部長,還有法務部的次長,
transcript.whisperx[238].start 7238.703
transcript.whisperx[238].end 7245.669
transcript.whisperx[238].text 那其他西南向國家呢?是我們跟他們關係不好嗎?還是有沒有什麼中共的因素呢?而且現在詐騙,我看現在詐騙非常的猖獗,國人被騙到緬甸、泰國還有柬埔寨這些地方,然後其實他們又再到那邊去詐騙其他外國人,影響了臺灣的國際的關係,尤其是這些地方,那我們是不是更需要要去跟他們簽一些司法互助呢?是不是要更努力呢?
transcript.whisperx[239].start 7267.948
transcript.whisperx[239].end 7295.194
transcript.whisperx[239].text 對,要更努力所以部長也是贊成說那我們就是要是新南向的政策然後要去跟他們多因為隨著我們跟新南向國家的來往這麼樣的頻密那不管是人或是經貿的關係那我們事實上除了外交部之外法務部、調查局或者是我們內政部、警政署其實也是都有派外那這樣最近幾個例子都
transcript.whisperx[240].start 7296.454
transcript.whisperx[240].end 7300.156
transcript.whisperx[240].text 刑事司法互助條約案。四、審查行政院函請審議.立法院第11屆第2會期外交及國防、司法及法制委員會第1次聯席會議案。五、審查行政院函請審議.立法院函請審議
transcript.whisperx[241].start 7325.806
transcript.whisperx[241].end 7350.674
transcript.whisperx[241].text 因為這個司法互助是互惠的最主要是大家共同打擊犯罪那些跨境的犯罪越來越多好那希望我們還是要再努力一下對要努力把它如果能夠簽訂司法互助協定是更有更更更大的一個一個一個保障好謝謝謝謝林益君召委我該想說你怎麼沒有推薦我去駐外問半天都沒有問到我
transcript.whisperx[242].start 7352.079
transcript.whisperx[242].end 7352.619
transcript.whisperx[242].text 主席,謝謝,麻煩請林佳龍部長
transcript.whisperx[243].start 7383.75
transcript.whisperx[243].end 7406.336
transcript.whisperx[243].text 部長,勞動部的霸凌案,行政院指示說公務部門都要嚴辦各種霸凌事件。其中外交部過去到現在也有一些相關的爭議的部分。本席也看到最近有新聞的投書,也有看到說有把幾個外交部過去到現在的一些爭議事件列出來。來,我們看一下。
transcript.whisperx[244].start 7407.678
transcript.whisperx[244].end 7430.135
transcript.whisperx[244].text 這個外交部的霸凌事件請能忘記,那其中這一位投書者還是我們之前外交部的官員。好,他裡面特別提到幾件事情,我想霸凌林榮忍,過去到現在不會因為時間流失而真相就讓他石沉大海嗎?我想部長你應該有這樣的一個認知跟這樣的一個面對的勇氣吧?對。好。
transcript.whisperx[245].start 7430.555
transcript.whisperx[245].end 7430.835
transcript.whisperx[245].text 事實和真相到底為何?
transcript.whisperx[246].start 7445.31
transcript.whisperx[246].end 7472.118
transcript.whisperx[246].text 禁中職守,但有搶到網軍事件。二、2023年駐巴西聖保羅辦事處王組長遺事被館長霸凌輕生,館長雖被監察院彈劾,但全案事實真相,外界未明。三、晶片護照改版事件,部長在事實真相未明下,把相關人員調職。
transcript.whisperx[247].start 7475.029
transcript.whisperx[247].end 7496.601
transcript.whisperx[247].text 這一個部分我想請教林將部長既然我們看到勞動部有這樣的一個霸凌事件而且沒有調查還不知道甚至勞動部第一個調查還是想要粉飾太平的調查直到換了部長之後新任部長上任再重請調查才水落石出也還這個往生者一個交代那一樣這三個案件
transcript.whisperx[248].start 7497.541
transcript.whisperx[248].end 7509.651
transcript.whisperx[248].text 內部有沒有指示是不是能夠有重啟調查至少給國人一個清楚明白真相讓瞭解是說當時的時空環境背景底下不要誤往誤走林部長你的看法勒
transcript.whisperx[249].start 7511.651
transcript.whisperx[249].end 7535.256
transcript.whisperx[249].text 這三個案子我想有一些進入司法的程序或者是監察院調查那當然如果有什麼新的事證我們當然也會很重視來作為一個一個是新的事證嘛另外一個部分是說當初有沒有針對我們底下的同仁去做訪談去做了解以及把整個事件給勾勒出來
transcript.whisperx[250].start 7535.856
transcript.whisperx[250].end 7557.422
transcript.whisperx[250].text 有,像我上任之後除了其實我在7月就已經針對不管霸凌或性騷還有相關的這一些就是管理的問題有全面的檢討之後有訂定了一些改善的一個辦法但是如果以您提到的第三個案子我也調出來看過
transcript.whisperx[251].start 7558.562
transcript.whisperx[251].end 7574.918
transcript.whisperx[251].text 基本上我們都要進行調查而且對當事人也要訪談尤其是這幾天立法院關切的幾個案子我們也都有一個很詳細的調查委員會也有外聘的委員也都有啟動調查委員會跟外聘委員
transcript.whisperx[252].start 7576.058
transcript.whisperx[252].end 7600.317
transcript.whisperx[252].text 有,有些甚至沒有,當然有些有檢舉嘛,有些沒有44委員的質詢,但我們都一樣的重視,因為有則改之嘛,一個要克則,但是如果有一些是誤會,或者是說本身當事人有,能夠來這個面對,那是情節到什麼程度,因為我們在講有時候是比較廣泛的講啦,
transcript.whisperx[253].start 7600.677
transcript.whisperx[253].end 7603.26
transcript.whisperx[253].text 這三個案件因為都是屬於當時《劍報》也是算媒體軒然一時的事件,那這三個案件目前有沒有再去做相關了解?
transcript.whisperx[254].start 7620.868
transcript.whisperx[254].end 7635.058
transcript.whisperx[254].text 我自己個人都有調出來詳細看過那因為他有一些已經告一個段落而且有調查結果而且有些有處處分了除非有什麼新的事證我們當然會根據情況再做判斷
transcript.whisperx[255].start 7635.959
transcript.whisperx[255].end 7638.022
transcript.whisperx[255].text 三、審查行政院函請審議.立法院第11屆第2會期外交及國防、司法及法制委員會第1次聯席會議
transcript.whisperx[256].start 7652.899
transcript.whisperx[256].end 7666.808
transcript.whisperx[256].text 所以你也歡迎如果說有任何心事證也要在跟部裡面提出,是不是?對同仁如果說有提出的話你都會主動調查?一定的好,謝謝,謝謝鴻孟凱委員,各位請回好,接下來進行巡達委員,葉元之委員那我請外交部長,謝謝來,部長請
transcript.whisperx[257].start 7687.646
transcript.whisperx[257].end 7705.466
transcript.whisperx[257].text 部長,我要跟你反映一件事情之前有一個民眾跟我澄清那是一個跟杜拜有關的事情他們是一家四口要去杜拜旅遊然後透過電子簽證去申請結果四個人裡面有的大人有的小孩
transcript.whisperx[258].start 7706.888
transcript.whisperx[258].end 7724.423
transcript.whisperx[258].text 結果小朋友的電子簽證回覆是錯的傳回來是一個黑人很明顯就是杜拜那邊政府搞錯遇到這樣的事情當然我們想的就是找外交部協助結果我們聯絡外交部的單位外交部的人
transcript.whisperx[259].start 7724.963
transcript.whisperx[259].end 7726.885
transcript.whisperx[259].text 國會聯絡人,態度很差,他們沒有辦法處理,丟了一個旅行社,專門辦杜拜的旅行業務的旅行社的資料給我,叫我們轉給澄清人,說請找旅行社幫忙。
transcript.whisperx[260].start 7740.918
transcript.whisperx[260].end 7753.265
transcript.whisperx[260].text 當下我就非常傻眼我想說即便是要找旅行社幫忙外交部應該也有一定的管道吧就請外交部進行聯絡結果外交部那個同仁說我們會轉給住處就非常敷臉我問他說請問你什麼時候會回我他說反正我會轉給住處嘛你們就先找旅行社嘛
transcript.whisperx[261].start 7760.109
transcript.whisperx[261].end 7786.335
transcript.whisperx[261].text 我不知道外交部這樣的一個態度啦怎麼連國人遇到這樣的問題這很明顯是杜拜那邊政府搞錯我們是黃總人他傳一個黑人過來請外交部協助居然是這樣的態度那我特別去看了一下本來我們在外交部在國外的住處其中有一個有一個服務嘛就是比如說協助旅外的國人辦理像住在國政府當局依法聯絡交測事項那當然
transcript.whisperx[262].start 7789.944
transcript.whisperx[262].end 7795.047
transcript.whisperx[262].text 外交部提供任何協助,是因為我們住杜拜單位太弱,還是我們外交部太官僚?」
transcript.whisperx[263].start 7808.7
transcript.whisperx[263].end 7813.144
transcript.whisperx[263].text 因為你執行...你現在還知道我是說事先去瞭解我們同仁都有提供這個談餐啦喔談餐喔那你覺得這樣OK嗎你同仁這種態度OK嗎就是說我們沒辦法我們在杜拜沒什麼辦法去處理這個簽證這麼簡單的事情請你去找旅行社你覺得這樣OK嗎
transcript.whisperx[264].start 7828.997
transcript.whisperx[264].end 7847.746
transcript.whisperx[264].text 這當然是他的說法,但是即使不管怎麼樣的說法,有這個事情我們要去釐清因為要去辦這個入境的簽證是當地國有些規定,那我們不符合,我們的國人希望說能不能方便一下不是不是,部長你都沒有聽我講他是跟成年人一起去申請的嘛,你完全沒有在聽我講話
transcript.whisperx[265].start 7855.37
transcript.whisperx[265].end 7870.957
transcript.whisperx[265].text 四個人有大人有小孩四個人同時去申請電子簽證只有小朋友的搞錯了他是搞錯了那因為很明顯錯誤所以希望透過外交部跟當地的杜拜負責發簽證的溝通一下說這很明顯是你搞錯能不能發一個正確過來因為未滿18歲他要併成人來申請我就說那四個人裡面有大人有小孩嘛
transcript.whisperx[266].start 7880.641
transcript.whisperx[266].end 7908.761
transcript.whisperx[266].text 但是你們的回覆的態度就是說沒辦法處理嘛,要找旅行社,如果什麼事情都找旅行社,那我們外交部真的很爽耶。委員講後面就算啦。部長,你這樣子回答我相信大家都在直播都在看啦。你們是在杜拜是有住點的嘛,有辦事處的嘛。是。那我們希望說不管怎麼樣你找辦事處,辦得成辦不成是一回事嘛,至少你有去溝通嘛。我同意啊。結果你們的態度是說你找旅行社就好了啦。
transcript.whisperx[267].start 7909.201
transcript.whisperx[267].end 7911.622
transcript.whisperx[267].text 委員那樣講,那個是不對的。你覺得不對嗎?對,不對。那他是負責國會聯絡的。我們請求我們協助,我們一定要當作自己的事啊。其實你願意承認說,你那個同仁這樣是不對的,我非常感謝你啊。
transcript.whisperx[268].start 7924.526
transcript.whisperx[268].end 7947.712
transcript.whisperx[268].text 因為我今天不是在找你吵架的我只要講的是說其實我們很多國人或者是駐外的我們的國人可能會遇到一些協助是需要你幫忙的但是如果說大家態度都是說我們沒辦法處理那個我們沒有外交啦我們沒辦法啦請你找旅行社請你找東請你找民間那我們國人會認為我們的外交部好像有跟沒有沒有什麼差別啊大家的感受是這樣因為他們自己的事情最大嘛
transcript.whisperx[269].start 7948.072
transcript.whisperx[269].end 7968.078
transcript.whisperx[269].text 他們自己的感受是這樣嗎?所以是不是可以請部長我會期許我們的同仁要有同理心然後把當作自己的事情幫忙找能夠解決的方法謝謝你這樣子回答啦但是你們下面是官僚到幾點請你去好好了解一下好 謝謝葉元柱委員各位請回
transcript.whisperx[270].start 7970.626
transcript.whisperx[270].end 7987.201
transcript.whisperx[270].text 今天已登記質詢委員除不在場外均已發言完畢報告及詢答結束本日會議有黃人委員提出書面質詢請列入記錄並刊登公報相關機關已書面於兩週內答覆聯席會各委員並複製聯席會那委員口頭質詢未及答覆部分
transcript.whisperx[271].start 7993.506
transcript.whisperx[271].end 8017.933
transcript.whisperx[271].text 或要求補充資料者,亦請相關單位以書面於兩週內提供。」但是委員當場有另約定期限者,像今天馬文君委員有約定今年底以前,請從其所定。書面再增加一位中嘉賓委員,有兩位,黃仁跟中嘉賓委員都有提書面,列入報告,列入紀錄跟報告。
transcript.whisperx[272].start 8019.226
transcript.whisperx[272].end 8035.915
transcript.whisperx[272].text 好,我們現在開始審查討論事項第一案請議事人員宣讀名稱及條文第一案,駐德國台北代表處與德國在台協會刑事司法互助協議案第一條目的
transcript.whisperx[273].start 8036.533
transcript.whisperx[273].end 8051.227
transcript.whisperx[273].text 第二條定義第三條機關第四條請求要件第五條溝通管道第六條協助之類型第七條視訊訊問第八條解送受拘禁人第九條搜索及扣押
transcript.whisperx[274].start 8051.747
transcript.whisperx[274].end 8063.214
transcript.whisperx[274].text 第10條聯合偵查團隊、第11條資產分享、第12條特定性原則、第13條拒絕試遊、第14條執行請求、第15條保證、第16條保密、第17條諮商、第18條個人資料保護、第19條支出、第20條最終條款。」宣讀完畢各位委員對於第一案有無異議
transcript.whisperx[275].start 8079.913
transcript.whisperx[275].end 8092.706
transcript.whisperx[275].text 沒有異議的話第一案駐德國台北代表處與德國在台協會刑事司法互助協議案照案通過我們現在處理第二案請宣讀
transcript.whisperx[276].start 8093.766
transcript.whisperx[276].end 8121.734
transcript.whisperx[276].text 第二案,中華民國(臺灣(政府與吐瓦魯國政府刑事司法互助條約案。第一條,協助之範圍。第二條,中央主管機關。第三條,協助之限制。第四條,請求之形式及其內容。第五條,請求之執行。第六條,費用。第七條,用途之限制。第八條,受請求方之贈言或證據。第九條,官方記錄。第十條,人員自請求方應訊。第十一條,視訊訊問。
transcript.whisperx[277].start 8123.334
transcript.whisperx[277].end 8135.338
transcript.whisperx[277].text 第12條,人或證據之所在或其辨識。第13條,文書之送達。第14條,搜索及扣押。第15條,返還證物。第16條,交換犯罪記錄。第17條,財產之禁止處分及沒收。第18條,第三人。第19條,資產分享。第20條,與其他協定之關係。第21條,諮商。第22條,生肖修正與終止。宣讀完畢。
transcript.whisperx[278].start 8151.448
transcript.whisperx[278].end 8159.389
transcript.whisperx[278].text 有關第二案委員各位委員有沒有異議沒有異議我們照案通過請議事人員宣讀第三案名稱及條文
transcript.whisperx[279].start 8164.349
transcript.whisperx[279].end 8183.305
transcript.whisperx[279].text 司法互助條約案。第一條,協助之範圍。第二條,中央主管機關。第三條,協助之限制。第四條,請求之形式及其內容。第五條,請求之執行。第六條,費用。第七條,用途之限制。第八條,受請求國之證言或證據。第九條,官方記錄。第十條,人員至請求國應訊。第十一條,視訊訊問。
transcript.whisperx[280].start 8187.549
transcript.whisperx[280].end 8202.692
transcript.whisperx[280].text 第12條,人或證據之所在或其辨識。第13條,文書送達。第14條,搜索及扣押。第15條,返還證物。第16條,財產之限制處分及沒收。第17條,第三人。第18條,資產分享。第19條,與其他協定之關係。第20條,諮商。第21條,爭議之解決。第22條,生效修正與終止。宣讀完畢。請問各位委員是否有異議?
transcript.whisperx[281].start 8216.84
transcript.whisperx[281].end 8236.456
transcript.whisperx[281].text 沒有異議,我們照案通過。本期宣告,駐德國臺北代表處與德國在台協會刑事司法互助協議案。中華民國(臺灣)政府與吐瓦魯國政府刑事司法互助條約案。
transcript.whisperx[282].start 8237.697
transcript.whisperx[282].end 8252.803
transcript.whisperx[282].text 司法互助條約案。四、審查行政院函請審議:「中華民國(臺灣.政府與聖露西亞政府刑事司法互助條約案。五、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。六、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。七、審查行政院函請審議:「中華民國.臺灣.政府與聖露西亞政府刑事司法互助條約案。八、審查行政院函請審議:「中華民國
transcript.whisperx[283].start 8268.234
transcript.whisperx[283].end 8269.476
transcript.whisperx[283].text 在委之前本席再宣告一次
transcript.whisperx[284].start 8281.684
transcript.whisperx[284].end 8292.608
transcript.whisperx[284].text 有關國防部主管非營業基金預算提案單,收件截止日期是12月27日星期五中午12點前,
transcript.whisperx[285].start 8300.33
transcript.whisperx[285].end 8326.295
transcript.whisperx[285].text 主管信託基金預算提案單收件截止日期也是在12月27日星期五中午12點以前預期數不收案。」我們這兩國防部跟僑委會的基金我們會定在同一天進行審議那我們在會議通知其實都有書面告知各位委員那宣告請我們黨團的助理跟各位委員助理再一次確認時間12月27星期五中午12點以前好
transcript.whisperx[286].start 8330.516
transcript.whisperx[286].end 8333.44
transcript.whisperx[286].text 大家辛苦,本次聯席會議到此結束,我們散會,謝謝。