iVOD / 17096

Field Value
IVOD_ID 17096
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17096
日期 2025-12-04
會議資料.會議代碼 委員會-11-4-20-11
會議資料.會議代碼:str 第11屆第4會期財政委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第4會期財政委員會第11次全體委員會議
影片種類 Full
開始時間 2025-12-04T08:35:31+08:00
結束時間 2025-12-04T10:06:00+08:00
影片長度 01:30:29
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528ea45cfcab5ea799a57db068076667a51bb4456b5c46cbb78c55fbbbe49cb369b45ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-12-04T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第11次全體委員會議(事由:一、繼續審查「使用牌照稅法」29案: (一) 行政院函請審議、本院委員邱鎮軍等19人、委員陳超明等18人、委員羅明才等20人、委員廖偉翔等19人、委員楊瓊瓔等27人、委員許宇甄等22人、委員邱若華等17人、委員林俊憲等26人、委員王鴻薇等19人、委員李彥秀等16人、委員蘇清泉等18人、委員徐欣瑩等24人、委員郭昱晴等19人、委員王美惠等19人、委員李坤城等18人、委員羅廷瑋等17人、委員郭國文等18人、委員吳沛憶等17人、委員葛如鈞等16人、委員沈發惠等17人、委員林思銘等22人、委員賴士葆等25人、委員黃健豪等20人分別擬具「使用牌照稅法第五條條文修正草案」等24案。 (二) 本院台灣民眾黨黨團擬具「使用牌照稅法第五條及第七條條文修正草案」案。 (三) 本院委員廖先翔等17人擬具「使用牌照稅法第五條及第三十八條條文修正草案」案。 (四) 本院委員牛煦庭等17人、委員鍾佳濱等16人分別擬具「使用牌照稅法第七條條文修正草案」等2案。 (五) 本院委員廖偉翔等17人擬具「使用牌照稅法第七條及第三十八條條文修正草案」案。 二、審查「使用牌照稅法」16案: (一) 本院委員陳素月等21人、委員伍麗華Saidhai Tahovecahe等16人、委員馬文君等16人、委員羅美玲等18人、委員顏寬恒等17人、委員林月琴等17人、委員葉元之等20人、委員徐富癸等17人、委員陳超明等16人、委員丁學忠等18人、委員張智倫等17人、委員徐巧芯等23人、委員萬美玲等18人、委員洪孟楷等19人、委員翁曉玲等18人分別擬具「使用牌照稅法第五條條文修正草案」等15案。【後1案如經院會復議,本次會議不予審查】 (二) 本院委員林思銘等23人擬具「使用牌照稅法第七條條文修正草案」案。)
委員名稱 完整會議
委員發言時間 08:35:31 - 10:06:00
transcript.pyannote[0].speaker SPEAKER_08
transcript.pyannote[0].start 1561.76159375
transcript.pyannote[0].end 1562.03159375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1566.16596875
transcript.pyannote[1].end 1569.49034375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 1569.94596875
transcript.pyannote[2].end 1572.62909375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 1573.97909375
transcript.pyannote[3].end 1577.97846875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 1579.46346875
transcript.pyannote[4].end 1594.17846875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1594.41471875
transcript.pyannote[5].end 1599.84846875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 1600.13534375
transcript.pyannote[6].end 1600.37159375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 1600.86096875
transcript.pyannote[7].end 1614.98534375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 1615.44096875
transcript.pyannote[8].end 1615.98096875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1616.40284375
transcript.pyannote[9].end 1619.23784375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1619.71034375
transcript.pyannote[10].end 1625.51534375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1625.85284375
transcript.pyannote[11].end 1627.23659375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 1627.62471875
transcript.pyannote[12].end 1629.00846875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 1629.24471875
transcript.pyannote[13].end 1637.68221875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 1638.07034375
transcript.pyannote[14].end 1638.52596875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1639.48784375
transcript.pyannote[15].end 1656.27846875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 1658.01659375
transcript.pyannote[16].end 1660.88534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 1662.26909375
transcript.pyannote[17].end 1665.34034375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 1665.82971875
transcript.pyannote[18].end 1666.42034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 1667.36534375
transcript.pyannote[19].end 1670.67284375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 1670.94284375
transcript.pyannote[20].end 1672.22534375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 1672.78221875
transcript.pyannote[21].end 1687.98659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 1689.10034375
transcript.pyannote[22].end 1691.61471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 1693.26846875
transcript.pyannote[23].end 1695.63096875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 1700.96346875
transcript.pyannote[24].end 1712.50596875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 1712.60721875
transcript.pyannote[25].end 1724.58846875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 1724.82471875
transcript.pyannote[26].end 1739.01659375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 1740.31596875
transcript.pyannote[27].end 1759.31721875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 1759.75596875
transcript.pyannote[28].end 1761.54471875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 1761.94971875
transcript.pyannote[29].end 1762.70909375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 1763.13096875
transcript.pyannote[30].end 1767.77159375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 1768.07534375
transcript.pyannote[31].end 1768.58159375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 1768.91909375
transcript.pyannote[32].end 1774.79159375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 1775.02784375
transcript.pyannote[33].end 1777.33971875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 1777.71096875
transcript.pyannote[34].end 1779.92159375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 1780.49534375
transcript.pyannote[35].end 1812.35534375
transcript.pyannote[36].speaker SPEAKER_08
transcript.pyannote[36].start 1814.92034375
transcript.pyannote[36].end 1815.22409375
transcript.pyannote[37].speaker SPEAKER_08
transcript.pyannote[37].start 1816.18596875
transcript.pyannote[37].end 1817.77221875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 1819.15596875
transcript.pyannote[38].end 1822.71659375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 1823.54346875
transcript.pyannote[39].end 1826.76659375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 1829.39909375
transcript.pyannote[40].end 1832.35221875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 1832.68971875
transcript.pyannote[41].end 1839.96284375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 1840.40159375
transcript.pyannote[42].end 1846.25721875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 1846.76346875
transcript.pyannote[43].end 1849.75034375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 1851.11721875
transcript.pyannote[44].end 1862.86221875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 1865.84909375
transcript.pyannote[45].end 1869.24096875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 1871.46846875
transcript.pyannote[46].end 1875.83909375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 1876.14284375
transcript.pyannote[47].end 1881.81284375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 1881.99846875
transcript.pyannote[48].end 1884.39471875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 1884.76596875
transcript.pyannote[49].end 1890.03096875
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 1890.38534375
transcript.pyannote[50].end 1894.63784375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 1895.56596875
transcript.pyannote[51].end 1898.65409375
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 1898.75534375
transcript.pyannote[52].end 1900.71284375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 1902.02909375
transcript.pyannote[53].end 1903.61534375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 1904.13846875
transcript.pyannote[54].end 1905.26909375
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 1905.70784375
transcript.pyannote[55].end 1907.12534375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 1908.57659375
transcript.pyannote[56].end 1918.65096875
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 1919.02221875
transcript.pyannote[57].end 1921.45221875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 1921.75596875
transcript.pyannote[58].end 1924.32096875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 1924.42221875
transcript.pyannote[59].end 1926.07596875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 1926.95346875
transcript.pyannote[60].end 1930.48034375
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 1930.78409375
transcript.pyannote[61].end 1952.43471875
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 1953.81846875
transcript.pyannote[62].end 1960.24784375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 1960.29846875
transcript.pyannote[63].end 1961.26034375
transcript.pyannote[64].speaker SPEAKER_08
transcript.pyannote[64].start 1961.41221875
transcript.pyannote[64].end 1968.88784375
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 1969.59659375
transcript.pyannote[65].end 1972.00971875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 1972.51596875
transcript.pyannote[66].end 1974.03471875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 1974.94596875
transcript.pyannote[67].end 1982.64096875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 1983.36659375
transcript.pyannote[68].end 1991.68596875
transcript.pyannote[69].speaker SPEAKER_08
transcript.pyannote[69].start 1992.36096875
transcript.pyannote[69].end 1997.18721875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 1997.38971875
transcript.pyannote[70].end 1999.73534375
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 1998.33471875
transcript.pyannote[71].end 1998.75659375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 1999.76909375
transcript.pyannote[72].end 1999.78596875
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 1999.78596875
transcript.pyannote[73].end 2003.46471875
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 2003.83596875
transcript.pyannote[74].end 2005.15221875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2006.09721875
transcript.pyannote[75].end 2007.76784375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 2009.25284375
transcript.pyannote[76].end 2013.50534375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2013.91034375
transcript.pyannote[77].end 2023.71471875
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2024.00159375
transcript.pyannote[78].end 2025.65534375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2026.16159375
transcript.pyannote[79].end 2028.03471875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 2028.28784375
transcript.pyannote[80].end 2031.64596875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 2032.70909375
transcript.pyannote[81].end 2036.45534375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 2038.48034375
transcript.pyannote[82].end 2041.36596875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 2097.44159375
transcript.pyannote[83].end 2098.01534375
transcript.pyannote[84].speaker SPEAKER_15
transcript.pyannote[84].start 2103.71909375
transcript.pyannote[84].end 2103.73596875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 2103.73596875
transcript.pyannote[85].end 2104.07346875
transcript.pyannote[86].speaker SPEAKER_15
transcript.pyannote[86].start 2105.28846875
transcript.pyannote[86].end 2105.30534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 2105.30534375
transcript.pyannote[87].end 2105.82846875
transcript.pyannote[88].speaker SPEAKER_15
transcript.pyannote[88].start 2105.82846875
transcript.pyannote[88].end 2105.84534375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 2108.61284375
transcript.pyannote[89].end 2129.85846875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 2130.29721875
transcript.pyannote[90].end 2160.72284375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 2160.80721875
transcript.pyannote[91].end 2186.89596875
transcript.pyannote[92].speaker SPEAKER_07
transcript.pyannote[92].start 2189.19096875
transcript.pyannote[92].end 2189.62971875
transcript.pyannote[93].speaker SPEAKER_07
transcript.pyannote[93].start 2189.88284375
transcript.pyannote[93].end 2197.99971875
transcript.pyannote[94].speaker SPEAKER_07
transcript.pyannote[94].start 2198.30346875
transcript.pyannote[94].end 2204.73284375
transcript.pyannote[95].speaker SPEAKER_07
transcript.pyannote[95].start 2205.37409375
transcript.pyannote[95].end 2219.58284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 2208.83346875
transcript.pyannote[96].end 2209.12034375
transcript.pyannote[97].speaker SPEAKER_07
transcript.pyannote[97].start 2219.83596875
transcript.pyannote[97].end 2229.43784375
transcript.pyannote[98].speaker SPEAKER_07
transcript.pyannote[98].start 2229.55596875
transcript.pyannote[98].end 2236.45784375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 2237.26784375
transcript.pyannote[99].end 2237.55471875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 2238.39846875
transcript.pyannote[100].end 2242.68471875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 2244.28784375
transcript.pyannote[101].end 2248.52346875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 2249.38409375
transcript.pyannote[102].end 2250.26159375
transcript.pyannote[103].speaker SPEAKER_11
transcript.pyannote[103].start 2250.85221875
transcript.pyannote[103].end 2253.38346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 2253.19784375
transcript.pyannote[104].end 2253.33284375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 2253.38346875
transcript.pyannote[105].end 2253.55221875
transcript.pyannote[106].speaker SPEAKER_11
transcript.pyannote[106].start 2253.55221875
transcript.pyannote[106].end 2259.62721875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 2253.58596875
transcript.pyannote[107].end 2253.65346875
transcript.pyannote[108].speaker SPEAKER_11
transcript.pyannote[108].start 2260.13346875
transcript.pyannote[108].end 2261.44971875
transcript.pyannote[109].speaker SPEAKER_11
transcript.pyannote[109].start 2263.05284375
transcript.pyannote[109].end 2264.70659375
transcript.pyannote[110].speaker SPEAKER_11
transcript.pyannote[110].start 2265.46596875
transcript.pyannote[110].end 2265.93846875
transcript.pyannote[111].speaker SPEAKER_11
transcript.pyannote[111].start 2266.22534375
transcript.pyannote[111].end 2268.43596875
transcript.pyannote[112].speaker SPEAKER_11
transcript.pyannote[112].start 2268.85784375
transcript.pyannote[112].end 2271.01784375
transcript.pyannote[113].speaker SPEAKER_13
transcript.pyannote[113].start 2271.49034375
transcript.pyannote[113].end 2271.50721875
transcript.pyannote[114].speaker SPEAKER_13
transcript.pyannote[114].start 2271.52409375
transcript.pyannote[114].end 2271.76034375
transcript.pyannote[115].speaker SPEAKER_08
transcript.pyannote[115].start 2271.76034375
transcript.pyannote[115].end 2272.14846875
transcript.pyannote[116].speaker SPEAKER_08
transcript.pyannote[116].start 2272.85721875
transcript.pyannote[116].end 2273.02596875
transcript.pyannote[117].speaker SPEAKER_13
transcript.pyannote[117].start 2273.02596875
transcript.pyannote[117].end 2273.61659375
transcript.pyannote[118].speaker SPEAKER_08
transcript.pyannote[118].start 2273.61659375
transcript.pyannote[118].end 2273.68409375
transcript.pyannote[119].speaker SPEAKER_13
transcript.pyannote[119].start 2273.68409375
transcript.pyannote[119].end 2273.83596875
transcript.pyannote[120].speaker SPEAKER_08
transcript.pyannote[120].start 2273.83596875
transcript.pyannote[120].end 2274.00471875
transcript.pyannote[121].speaker SPEAKER_13
transcript.pyannote[121].start 2274.00471875
transcript.pyannote[121].end 2274.12284375
transcript.pyannote[122].speaker SPEAKER_08
transcript.pyannote[122].start 2274.12284375
transcript.pyannote[122].end 2274.20721875
transcript.pyannote[123].speaker SPEAKER_13
transcript.pyannote[123].start 2274.20721875
transcript.pyannote[123].end 2275.28721875
transcript.pyannote[124].speaker SPEAKER_13
transcript.pyannote[124].start 2275.50659375
transcript.pyannote[124].end 2277.02534375
transcript.pyannote[125].speaker SPEAKER_13
transcript.pyannote[125].start 2277.16034375
transcript.pyannote[125].end 2277.54846875
transcript.pyannote[126].speaker SPEAKER_11
transcript.pyannote[126].start 2278.27409375
transcript.pyannote[126].end 2280.45096875
transcript.pyannote[127].speaker SPEAKER_11
transcript.pyannote[127].start 2280.83909375
transcript.pyannote[127].end 2284.48409375
transcript.pyannote[128].speaker SPEAKER_11
transcript.pyannote[128].start 2284.55159375
transcript.pyannote[128].end 2286.44159375
transcript.pyannote[129].speaker SPEAKER_11
transcript.pyannote[129].start 2286.96471875
transcript.pyannote[129].end 2290.13721875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 2290.87971875
transcript.pyannote[130].end 2291.03159375
transcript.pyannote[131].speaker SPEAKER_11
transcript.pyannote[131].start 2291.03159375
transcript.pyannote[131].end 2291.41971875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 2291.41971875
transcript.pyannote[132].end 2291.52096875
transcript.pyannote[133].speaker SPEAKER_11
transcript.pyannote[133].start 2291.52096875
transcript.pyannote[133].end 2291.97659375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 2291.57159375
transcript.pyannote[134].end 2291.85846875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 2291.97659375
transcript.pyannote[135].end 2292.02721875
transcript.pyannote[136].speaker SPEAKER_11
transcript.pyannote[136].start 2292.02721875
transcript.pyannote[136].end 2292.21284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 2292.21284375
transcript.pyannote[137].end 2292.43221875
transcript.pyannote[138].speaker SPEAKER_11
transcript.pyannote[138].start 2292.43221875
transcript.pyannote[138].end 2293.00596875
transcript.pyannote[139].speaker SPEAKER_11
transcript.pyannote[139].start 2293.29284375
transcript.pyannote[139].end 2295.03096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 2296.66784375
transcript.pyannote[140].end 2299.55346875
transcript.pyannote[141].speaker SPEAKER_11
transcript.pyannote[141].start 2298.03471875
transcript.pyannote[141].end 2298.38909375
transcript.pyannote[142].speaker SPEAKER_11
transcript.pyannote[142].start 2299.72221875
transcript.pyannote[142].end 2301.34221875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 2301.34221875
transcript.pyannote[143].end 2350.09409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 2350.33034375
transcript.pyannote[144].end 2353.03034375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 2350.34721875
transcript.pyannote[145].end 2350.39784375
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2350.39784375
transcript.pyannote[146].end 2350.93784375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 2353.90784375
transcript.pyannote[147].end 2355.49409375
transcript.pyannote[148].speaker SPEAKER_10
transcript.pyannote[148].start 2355.49409375
transcript.pyannote[148].end 2358.24471875
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 2358.75096875
transcript.pyannote[149].end 2360.47221875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 2361.28221875
transcript.pyannote[150].end 2362.07534375
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 2362.21034375
transcript.pyannote[151].end 2362.27784375
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 2362.83471875
transcript.pyannote[152].end 2366.10846875
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 2366.96909375
transcript.pyannote[153].end 2368.18409375
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 2369.36534375
transcript.pyannote[154].end 2369.85471875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 2370.42846875
transcript.pyannote[155].end 2372.30159375
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 2372.94284375
transcript.pyannote[156].end 2373.75284375
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 2375.06909375
transcript.pyannote[157].end 2378.17409375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 2378.42721875
transcript.pyannote[158].end 2378.46096875
transcript.pyannote[159].speaker SPEAKER_13
transcript.pyannote[159].start 2378.46096875
transcript.pyannote[159].end 2378.86596875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 2378.86596875
transcript.pyannote[160].end 2378.96721875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 2383.74284375
transcript.pyannote[161].end 2384.45159375
transcript.pyannote[162].speaker SPEAKER_08
transcript.pyannote[162].start 2384.45159375
transcript.pyannote[162].end 2384.73846875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 2391.62346875
transcript.pyannote[163].end 2392.04534375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 2392.78784375
transcript.pyannote[164].end 2393.41221875
transcript.pyannote[165].speaker SPEAKER_09
transcript.pyannote[165].start 2394.59346875
transcript.pyannote[165].end 2395.80846875
transcript.pyannote[166].speaker SPEAKER_09
transcript.pyannote[166].start 2395.97721875
transcript.pyannote[166].end 2398.59284375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 2399.53784375
transcript.pyannote[167].end 2402.33909375
transcript.pyannote[168].speaker SPEAKER_09
transcript.pyannote[168].start 2401.30971875
transcript.pyannote[168].end 2401.41096875
transcript.pyannote[169].speaker SPEAKER_09
transcript.pyannote[169].start 2402.35596875
transcript.pyannote[169].end 2412.98721875
transcript.pyannote[170].speaker SPEAKER_10
transcript.pyannote[170].start 2413.17284375
transcript.pyannote[170].end 2415.87284375
transcript.pyannote[171].speaker SPEAKER_10
transcript.pyannote[171].start 2416.39596875
transcript.pyannote[171].end 2416.93596875
transcript.pyannote[172].speaker SPEAKER_10
transcript.pyannote[172].start 2418.26909375
transcript.pyannote[172].end 2420.58096875
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 2420.73284375
transcript.pyannote[173].end 2421.69471875
transcript.pyannote[174].speaker SPEAKER_10
transcript.pyannote[174].start 2422.50471875
transcript.pyannote[174].end 2426.01471875
transcript.pyannote[175].speaker SPEAKER_10
transcript.pyannote[175].start 2426.50409375
transcript.pyannote[175].end 2431.04346875
transcript.pyannote[176].speaker SPEAKER_10
transcript.pyannote[176].start 2431.41471875
transcript.pyannote[176].end 2435.58284375
transcript.pyannote[177].speaker SPEAKER_10
transcript.pyannote[177].start 2436.07221875
transcript.pyannote[177].end 2439.88596875
transcript.pyannote[178].speaker SPEAKER_10
transcript.pyannote[178].start 2440.25721875
transcript.pyannote[178].end 2443.10909375
transcript.pyannote[179].speaker SPEAKER_10
transcript.pyannote[179].start 2443.53096875
transcript.pyannote[179].end 2446.46721875
transcript.pyannote[180].speaker SPEAKER_10
transcript.pyannote[180].start 2447.31096875
transcript.pyannote[180].end 2451.66471875
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 2452.13721875
transcript.pyannote[181].end 2455.15784375
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 2456.06909375
transcript.pyannote[182].end 2457.72284375
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2458.68471875
transcript.pyannote[183].end 2459.10659375
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2459.74784375
transcript.pyannote[184].end 2464.16909375
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2464.62471875
transcript.pyannote[185].end 2470.63221875
transcript.pyannote[186].speaker SPEAKER_10
transcript.pyannote[186].start 2471.17221875
transcript.pyannote[186].end 2473.99034375
transcript.pyannote[187].speaker SPEAKER_10
transcript.pyannote[187].start 2474.44596875
transcript.pyannote[187].end 2479.15409375
transcript.pyannote[188].speaker SPEAKER_10
transcript.pyannote[188].start 2479.45784375
transcript.pyannote[188].end 2482.12409375
transcript.pyannote[189].speaker SPEAKER_10
transcript.pyannote[189].start 2482.44471875
transcript.pyannote[189].end 2487.64221875
transcript.pyannote[190].speaker SPEAKER_10
transcript.pyannote[190].start 2488.24971875
transcript.pyannote[190].end 2491.91159375
transcript.pyannote[191].speaker SPEAKER_10
transcript.pyannote[191].start 2492.72159375
transcript.pyannote[191].end 2503.53846875
transcript.pyannote[192].speaker SPEAKER_10
transcript.pyannote[192].start 2504.11221875
transcript.pyannote[192].end 2515.50284375
transcript.pyannote[193].speaker SPEAKER_10
transcript.pyannote[193].start 2516.07659375
transcript.pyannote[193].end 2524.68284375
transcript.pyannote[194].speaker SPEAKER_10
transcript.pyannote[194].start 2525.22284375
transcript.pyannote[194].end 2537.50784375
transcript.pyannote[195].speaker SPEAKER_10
transcript.pyannote[195].start 2538.21659375
transcript.pyannote[195].end 2542.40159375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 2542.57034375
transcript.pyannote[196].end 2543.07659375
transcript.pyannote[197].speaker SPEAKER_13
transcript.pyannote[197].start 2543.07659375
transcript.pyannote[197].end 2594.57909375
transcript.pyannote[198].speaker SPEAKER_13
transcript.pyannote[198].start 2595.06846875
transcript.pyannote[198].end 2607.94409375
transcript.pyannote[199].speaker SPEAKER_13
transcript.pyannote[199].start 2608.48409375
transcript.pyannote[199].end 2627.78909375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 2629.17284375
transcript.pyannote[200].end 2630.92784375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 2631.45096875
transcript.pyannote[201].end 2637.37409375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 2638.42034375
transcript.pyannote[202].end 2671.54596875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 2672.06909375
transcript.pyannote[203].end 2710.64534375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 2711.57346875
transcript.pyannote[204].end 2713.10909375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 2714.39159375
transcript.pyannote[205].end 2718.23909375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 2718.23909375
transcript.pyannote[206].end 2719.06596875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 2720.14596875
transcript.pyannote[207].end 2813.46471875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 2816.83971875
transcript.pyannote[208].end 2818.10534375
transcript.pyannote[209].speaker SPEAKER_15
transcript.pyannote[209].start 2816.83971875
transcript.pyannote[209].end 2827.87596875
transcript.pyannote[210].speaker SPEAKER_15
transcript.pyannote[210].start 2828.07846875
transcript.pyannote[210].end 2829.42846875
transcript.pyannote[211].speaker SPEAKER_15
transcript.pyannote[211].start 2829.64784375
transcript.pyannote[211].end 2830.28909375
transcript.pyannote[212].speaker SPEAKER_15
transcript.pyannote[212].start 2830.52534375
transcript.pyannote[212].end 2857.74471875
transcript.pyannote[213].speaker SPEAKER_15
transcript.pyannote[213].start 2858.13284375
transcript.pyannote[213].end 2863.83659375
transcript.pyannote[214].speaker SPEAKER_15
transcript.pyannote[214].start 2864.27534375
transcript.pyannote[214].end 2865.64221875
transcript.pyannote[215].speaker SPEAKER_15
transcript.pyannote[215].start 2866.43534375
transcript.pyannote[215].end 2886.71909375
transcript.pyannote[216].speaker SPEAKER_15
transcript.pyannote[216].start 2887.03971875
transcript.pyannote[216].end 2889.25034375
transcript.pyannote[217].speaker SPEAKER_15
transcript.pyannote[217].start 2889.50346875
transcript.pyannote[217].end 2891.44409375
transcript.pyannote[218].speaker SPEAKER_15
transcript.pyannote[218].start 2891.74784375
transcript.pyannote[218].end 2893.90784375
transcript.pyannote[219].speaker SPEAKER_15
transcript.pyannote[219].start 2894.11034375
transcript.pyannote[219].end 2897.62034375
transcript.pyannote[220].speaker SPEAKER_15
transcript.pyannote[220].start 2898.17721875
transcript.pyannote[220].end 2898.86909375
transcript.pyannote[221].speaker SPEAKER_15
transcript.pyannote[221].start 2899.15596875
transcript.pyannote[221].end 2901.63659375
transcript.pyannote[222].speaker SPEAKER_15
transcript.pyannote[222].start 2901.80534375
transcript.pyannote[222].end 2905.14659375
transcript.pyannote[223].speaker SPEAKER_15
transcript.pyannote[223].start 2905.18034375
transcript.pyannote[223].end 2906.24346875
transcript.pyannote[224].speaker SPEAKER_15
transcript.pyannote[224].start 2906.71596875
transcript.pyannote[224].end 2907.37409375
transcript.pyannote[225].speaker SPEAKER_15
transcript.pyannote[225].start 2908.04909375
transcript.pyannote[225].end 2909.24721875
transcript.pyannote[226].speaker SPEAKER_15
transcript.pyannote[226].start 2909.85471875
transcript.pyannote[226].end 2911.30596875
transcript.pyannote[227].speaker SPEAKER_15
transcript.pyannote[227].start 2911.52534375
transcript.pyannote[227].end 2912.85846875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 2911.66034375
transcript.pyannote[228].end 2911.77846875
transcript.pyannote[229].speaker SPEAKER_15
transcript.pyannote[229].start 2913.06096875
transcript.pyannote[229].end 2916.16596875
transcript.pyannote[230].speaker SPEAKER_15
transcript.pyannote[230].start 2916.53721875
transcript.pyannote[230].end 2930.83034375
transcript.pyannote[231].speaker SPEAKER_15
transcript.pyannote[231].start 2931.11721875
transcript.pyannote[231].end 2933.32784375
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 2933.54721875
transcript.pyannote[232].end 2937.29346875
transcript.pyannote[233].speaker SPEAKER_15
transcript.pyannote[233].start 2937.46221875
transcript.pyannote[233].end 2940.19596875
transcript.pyannote[234].speaker SPEAKER_15
transcript.pyannote[234].start 2940.70221875
transcript.pyannote[234].end 2941.30971875
transcript.pyannote[235].speaker SPEAKER_15
transcript.pyannote[235].start 2941.71471875
transcript.pyannote[235].end 2945.61284375
transcript.pyannote[236].speaker SPEAKER_15
transcript.pyannote[236].start 2945.96721875
transcript.pyannote[236].end 2949.03846875
transcript.pyannote[237].speaker SPEAKER_15
transcript.pyannote[237].start 2949.51096875
transcript.pyannote[237].end 2951.89034375
transcript.pyannote[238].speaker SPEAKER_15
transcript.pyannote[238].start 2952.36284375
transcript.pyannote[238].end 2953.47659375
transcript.pyannote[239].speaker SPEAKER_15
transcript.pyannote[239].start 2953.91534375
transcript.pyannote[239].end 2954.86034375
transcript.pyannote[240].speaker SPEAKER_15
transcript.pyannote[240].start 2955.11346875
transcript.pyannote[240].end 2963.97284375
transcript.pyannote[241].speaker SPEAKER_15
transcript.pyannote[241].start 2964.07409375
transcript.pyannote[241].end 2967.55034375
transcript.pyannote[242].speaker SPEAKER_15
transcript.pyannote[242].start 2967.97221875
transcript.pyannote[242].end 2970.11534375
transcript.pyannote[243].speaker SPEAKER_15
transcript.pyannote[243].start 2970.30096875
transcript.pyannote[243].end 2973.28784375
transcript.pyannote[244].speaker SPEAKER_15
transcript.pyannote[244].start 2973.52409375
transcript.pyannote[244].end 2974.28346875
transcript.pyannote[245].speaker SPEAKER_15
transcript.pyannote[245].start 2974.89096875
transcript.pyannote[245].end 2990.65221875
transcript.pyannote[246].speaker SPEAKER_15
transcript.pyannote[246].start 2991.12471875
transcript.pyannote[246].end 2997.77346875
transcript.pyannote[247].speaker SPEAKER_15
transcript.pyannote[247].start 2997.92534375
transcript.pyannote[247].end 3000.15284375
transcript.pyannote[248].speaker SPEAKER_15
transcript.pyannote[248].start 3000.30471875
transcript.pyannote[248].end 3002.09346875
transcript.pyannote[249].speaker SPEAKER_15
transcript.pyannote[249].start 3002.17784375
transcript.pyannote[249].end 3005.06346875
transcript.pyannote[250].speaker SPEAKER_15
transcript.pyannote[250].start 3005.21534375
transcript.pyannote[250].end 3015.84659375
transcript.pyannote[251].speaker SPEAKER_15
transcript.pyannote[251].start 3015.91409375
transcript.pyannote[251].end 3076.76534375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 3028.67159375
transcript.pyannote[252].end 3031.03409375
transcript.pyannote[253].speaker SPEAKER_08
transcript.pyannote[253].start 3031.03409375
transcript.pyannote[253].end 3031.15221875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 3031.15221875
transcript.pyannote[254].end 3031.30409375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 3076.17471875
transcript.pyannote[255].end 3076.47846875
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 3076.76534375
transcript.pyannote[256].end 3076.79909375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 3077.03534375
transcript.pyannote[257].end 3117.67034375
transcript.pyannote[258].speaker SPEAKER_11
transcript.pyannote[258].start 3118.17659375
transcript.pyannote[258].end 3119.72909375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 3119.34096875
transcript.pyannote[259].end 3119.61096875
transcript.pyannote[260].speaker SPEAKER_11
transcript.pyannote[260].start 3120.31971875
transcript.pyannote[260].end 3124.15034375
transcript.pyannote[261].speaker SPEAKER_11
transcript.pyannote[261].start 3124.63971875
transcript.pyannote[261].end 3128.04846875
transcript.pyannote[262].speaker SPEAKER_11
transcript.pyannote[262].start 3128.48721875
transcript.pyannote[262].end 3131.52471875
transcript.pyannote[263].speaker SPEAKER_11
transcript.pyannote[263].start 3131.96346875
transcript.pyannote[263].end 3156.39846875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 3155.94284375
transcript.pyannote[264].end 3156.33096875
transcript.pyannote[265].speaker SPEAKER_11
transcript.pyannote[265].start 3156.85409375
transcript.pyannote[265].end 3162.72659375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 3158.89596875
transcript.pyannote[266].end 3160.95471875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 3161.25846875
transcript.pyannote[267].end 3161.96721875
transcript.pyannote[268].speaker SPEAKER_11
transcript.pyannote[268].start 3163.03034375
transcript.pyannote[268].end 3163.14846875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 3163.58721875
transcript.pyannote[269].end 3164.54909375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 3164.78534375
transcript.pyannote[270].end 3164.80221875
transcript.pyannote[271].speaker SPEAKER_11
transcript.pyannote[271].start 3164.80221875
transcript.pyannote[271].end 3164.81909375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 3164.81909375
transcript.pyannote[272].end 3170.89409375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 3171.53534375
transcript.pyannote[273].end 3175.26471875
transcript.pyannote[274].speaker SPEAKER_14
transcript.pyannote[274].start 3176.56409375
transcript.pyannote[274].end 3222.56534375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 3223.86471875
transcript.pyannote[275].end 3231.61034375
transcript.pyannote[276].speaker SPEAKER_17
transcript.pyannote[276].start 3232.87596875
transcript.pyannote[276].end 3239.20409375
transcript.pyannote[277].speaker SPEAKER_15
transcript.pyannote[277].start 3239.20409375
transcript.pyannote[277].end 3240.06471875
transcript.pyannote[278].speaker SPEAKER_15
transcript.pyannote[278].start 3240.92534375
transcript.pyannote[278].end 3241.73534375
transcript.pyannote[279].speaker SPEAKER_15
transcript.pyannote[279].start 3242.96721875
transcript.pyannote[279].end 3243.45659375
transcript.pyannote[280].speaker SPEAKER_17
transcript.pyannote[280].start 3246.66284375
transcript.pyannote[280].end 3302.18159375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 3301.69221875
transcript.pyannote[281].end 3301.87784375
transcript.pyannote[282].speaker SPEAKER_17
transcript.pyannote[282].start 3302.97471875
transcript.pyannote[282].end 3304.44284375
transcript.pyannote[283].speaker SPEAKER_17
transcript.pyannote[283].start 3304.67909375
transcript.pyannote[283].end 3305.94471875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 3310.50096875
transcript.pyannote[284].end 3313.48784375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 3313.97721875
transcript.pyannote[285].end 3328.62471875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 3328.91159375
transcript.pyannote[286].end 3334.26096875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 3334.48034375
transcript.pyannote[287].end 3361.95284375
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 3363.01596875
transcript.pyannote[288].end 3363.40409375
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 3364.31534375
transcript.pyannote[289].end 3371.03159375
transcript.pyannote[290].speaker SPEAKER_10
transcript.pyannote[290].start 3371.50409375
transcript.pyannote[290].end 3373.10721875
transcript.pyannote[291].speaker SPEAKER_10
transcript.pyannote[291].start 3373.63034375
transcript.pyannote[291].end 3374.87909375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 3374.87909375
transcript.pyannote[292].end 3375.43596875
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 3375.23346875
transcript.pyannote[293].end 3377.27534375
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 3377.52846875
transcript.pyannote[294].end 3378.59159375
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 3378.89534375
transcript.pyannote[295].end 3387.87284375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 3388.29471875
transcript.pyannote[296].end 3391.04534375
transcript.pyannote[297].speaker SPEAKER_10
transcript.pyannote[297].start 3391.56846875
transcript.pyannote[297].end 3395.97284375
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 3396.95159375
transcript.pyannote[298].end 3396.98534375
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 3397.30596875
transcript.pyannote[299].end 3401.13659375
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 3402.03096875
transcript.pyannote[300].end 3403.60034375
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 3404.10659375
transcript.pyannote[301].end 3405.45659375
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 3405.59159375
transcript.pyannote[302].end 3409.21971875
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 3409.64159375
transcript.pyannote[303].end 3410.75534375
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 3411.02534375
transcript.pyannote[304].end 3413.10096875
transcript.pyannote[305].speaker SPEAKER_10
transcript.pyannote[305].start 3413.28659375
transcript.pyannote[305].end 3413.86034375
transcript.pyannote[306].speaker SPEAKER_10
transcript.pyannote[306].start 3414.04596875
transcript.pyannote[306].end 3415.34534375
transcript.pyannote[307].speaker SPEAKER_10
transcript.pyannote[307].start 3415.76721875
transcript.pyannote[307].end 3420.93096875
transcript.pyannote[308].speaker SPEAKER_16
transcript.pyannote[308].start 3420.93096875
transcript.pyannote[308].end 3423.85034375
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 3421.16721875
transcript.pyannote[309].end 3421.40346875
transcript.pyannote[310].speaker SPEAKER_02
transcript.pyannote[310].start 3421.40346875
transcript.pyannote[310].end 3421.43721875
transcript.pyannote[311].speaker SPEAKER_16
transcript.pyannote[311].start 3424.30596875
transcript.pyannote[311].end 3426.98909375
transcript.pyannote[312].speaker SPEAKER_16
transcript.pyannote[312].start 3427.30971875
transcript.pyannote[312].end 3431.03909375
transcript.pyannote[313].speaker SPEAKER_16
transcript.pyannote[313].start 3431.57909375
transcript.pyannote[313].end 3437.11409375
transcript.pyannote[314].speaker SPEAKER_16
transcript.pyannote[314].start 3437.77221875
transcript.pyannote[314].end 3443.42534375
transcript.pyannote[315].speaker SPEAKER_16
transcript.pyannote[315].start 3443.69534375
transcript.pyannote[315].end 3445.73721875
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 3445.88909375
transcript.pyannote[316].end 3448.30221875
transcript.pyannote[317].speaker SPEAKER_16
transcript.pyannote[317].start 3448.77471875
transcript.pyannote[317].end 3453.14534375
transcript.pyannote[318].speaker SPEAKER_16
transcript.pyannote[318].start 3453.65159375
transcript.pyannote[318].end 3471.80909375
transcript.pyannote[319].speaker SPEAKER_16
transcript.pyannote[319].start 3472.14659375
transcript.pyannote[319].end 3485.44409375
transcript.pyannote[320].speaker SPEAKER_16
transcript.pyannote[320].start 3485.76471875
transcript.pyannote[320].end 3486.42284375
transcript.pyannote[321].speaker SPEAKER_16
transcript.pyannote[321].start 3486.81096875
transcript.pyannote[321].end 3487.60409375
transcript.pyannote[322].speaker SPEAKER_16
transcript.pyannote[322].start 3487.72221875
transcript.pyannote[322].end 3491.16471875
transcript.pyannote[323].speaker SPEAKER_16
transcript.pyannote[323].start 3491.92409375
transcript.pyannote[323].end 3493.56096875
transcript.pyannote[324].speaker SPEAKER_16
transcript.pyannote[324].start 3494.05034375
transcript.pyannote[324].end 3494.67471875
transcript.pyannote[325].speaker SPEAKER_16
transcript.pyannote[325].start 3495.34971875
transcript.pyannote[325].end 3496.59846875
transcript.pyannote[326].speaker SPEAKER_16
transcript.pyannote[326].start 3496.86846875
transcript.pyannote[326].end 3497.79659375
transcript.pyannote[327].speaker SPEAKER_16
transcript.pyannote[327].start 3497.93159375
transcript.pyannote[327].end 3500.71596875
transcript.pyannote[328].speaker SPEAKER_16
transcript.pyannote[328].start 3501.05346875
transcript.pyannote[328].end 3506.33534375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 3502.92659375
transcript.pyannote[329].end 3504.10784375
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 3506.33534375
transcript.pyannote[330].end 3509.98034375
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 3509.38971875
transcript.pyannote[331].end 3545.40096875
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 3545.75534375
transcript.pyannote[332].end 3547.00409375
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 3547.29096875
transcript.pyannote[333].end 3552.03284375
transcript.pyannote[334].speaker SPEAKER_08
transcript.pyannote[334].start 3547.42596875
transcript.pyannote[334].end 3547.59471875
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 3547.59471875
transcript.pyannote[335].end 3547.61159375
transcript.pyannote[336].speaker SPEAKER_15
transcript.pyannote[336].start 3552.06659375
transcript.pyannote[336].end 3569.75159375
transcript.pyannote[337].speaker SPEAKER_15
transcript.pyannote[337].start 3569.93721875
transcript.pyannote[337].end 3572.31659375
transcript.pyannote[338].speaker SPEAKER_15
transcript.pyannote[338].start 3572.83971875
transcript.pyannote[338].end 3575.35409375
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 3575.70846875
transcript.pyannote[339].end 3576.53534375
transcript.pyannote[340].speaker SPEAKER_15
transcript.pyannote[340].start 3576.92346875
transcript.pyannote[340].end 3577.26096875
transcript.pyannote[341].speaker SPEAKER_15
transcript.pyannote[341].start 3577.63221875
transcript.pyannote[341].end 3588.02721875
transcript.pyannote[342].speaker SPEAKER_15
transcript.pyannote[342].start 3588.28034375
transcript.pyannote[342].end 3603.40034375
transcript.pyannote[343].speaker SPEAKER_15
transcript.pyannote[343].start 3603.77159375
transcript.pyannote[343].end 3617.98034375
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 3617.01846875
transcript.pyannote[344].end 3617.94659375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 3617.98034375
transcript.pyannote[345].end 3617.99721875
transcript.pyannote[346].speaker SPEAKER_15
transcript.pyannote[346].start 3617.99721875
transcript.pyannote[346].end 3618.01409375
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 3618.01409375
transcript.pyannote[347].end 3618.19971875
transcript.pyannote[348].speaker SPEAKER_15
transcript.pyannote[348].start 3618.19971875
transcript.pyannote[348].end 3618.48659375
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 3618.48659375
transcript.pyannote[349].end 3626.63721875
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 3627.36284375
transcript.pyannote[350].end 3628.37534375
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 3630.26534375
transcript.pyannote[351].end 3631.95284375
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 3633.42096875
transcript.pyannote[352].end 3652.82721875
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 3657.41721875
transcript.pyannote[353].end 3658.32846875
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 3661.14659375
transcript.pyannote[354].end 3663.03659375
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 3664.38659375
transcript.pyannote[355].end 3667.25534375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 3667.99784375
transcript.pyannote[356].end 3668.57159375
transcript.pyannote[357].speaker SPEAKER_03
transcript.pyannote[357].start 3668.26784375
transcript.pyannote[357].end 3668.38596875
transcript.pyannote[358].speaker SPEAKER_07
transcript.pyannote[358].start 3668.57159375
transcript.pyannote[358].end 3669.46596875
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 3668.94284375
transcript.pyannote[359].end 3671.60909375
transcript.pyannote[360].speaker SPEAKER_07
transcript.pyannote[360].start 3670.54596875
transcript.pyannote[360].end 3670.64721875
transcript.pyannote[361].speaker SPEAKER_07
transcript.pyannote[361].start 3671.25471875
transcript.pyannote[361].end 3682.74659375
transcript.pyannote[362].speaker SPEAKER_07
transcript.pyannote[362].start 3683.08409375
transcript.pyannote[362].end 3702.35534375
transcript.pyannote[363].speaker SPEAKER_07
transcript.pyannote[363].start 3702.52409375
transcript.pyannote[363].end 3717.88034375
transcript.pyannote[364].speaker SPEAKER_02
transcript.pyannote[364].start 3714.23534375
transcript.pyannote[364].end 3719.09534375
transcript.pyannote[365].speaker SPEAKER_08
transcript.pyannote[365].start 3717.88034375
transcript.pyannote[365].end 3717.89721875
transcript.pyannote[366].speaker SPEAKER_07
transcript.pyannote[366].start 3718.16721875
transcript.pyannote[366].end 3719.77034375
transcript.pyannote[367].speaker SPEAKER_02
transcript.pyannote[367].start 3719.36534375
transcript.pyannote[367].end 3729.22034375
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 3719.77034375
transcript.pyannote[368].end 3719.78721875
transcript.pyannote[369].speaker SPEAKER_02
transcript.pyannote[369].start 3729.33846875
transcript.pyannote[369].end 3731.63346875
transcript.pyannote[370].speaker SPEAKER_02
transcript.pyannote[370].start 3732.19034375
transcript.pyannote[370].end 3742.73721875
transcript.pyannote[371].speaker SPEAKER_11
transcript.pyannote[371].start 3735.48096875
transcript.pyannote[371].end 3735.76784375
transcript.pyannote[372].speaker SPEAKER_11
transcript.pyannote[372].start 3736.00409375
transcript.pyannote[372].end 3736.15596875
transcript.pyannote[373].speaker SPEAKER_11
transcript.pyannote[373].start 3743.19284375
transcript.pyannote[373].end 3743.86784375
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 3743.86784375
transcript.pyannote[374].end 3744.27284375
transcript.pyannote[375].speaker SPEAKER_11
transcript.pyannote[375].start 3744.40784375
transcript.pyannote[375].end 3759.76409375
transcript.pyannote[376].speaker SPEAKER_11
transcript.pyannote[376].start 3760.25346875
transcript.pyannote[376].end 3761.62034375
transcript.pyannote[377].speaker SPEAKER_11
transcript.pyannote[377].start 3762.07596875
transcript.pyannote[377].end 3763.37534375
transcript.pyannote[378].speaker SPEAKER_11
transcript.pyannote[378].start 3763.89846875
transcript.pyannote[378].end 3764.10096875
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 3764.10096875
transcript.pyannote[379].end 3765.97409375
transcript.pyannote[380].speaker SPEAKER_11
transcript.pyannote[380].start 3764.20221875
transcript.pyannote[380].end 3764.25284375
transcript.pyannote[381].speaker SPEAKER_11
transcript.pyannote[381].start 3765.90659375
transcript.pyannote[381].end 3768.20159375
transcript.pyannote[382].speaker SPEAKER_01
transcript.pyannote[382].start 3768.25221875
transcript.pyannote[382].end 3768.26909375
transcript.pyannote[383].speaker SPEAKER_02
transcript.pyannote[383].start 3768.26909375
transcript.pyannote[383].end 3770.96909375
transcript.pyannote[384].speaker SPEAKER_11
transcript.pyannote[384].start 3768.47159375
transcript.pyannote[384].end 3775.50846875
transcript.pyannote[385].speaker SPEAKER_01
transcript.pyannote[385].start 3770.96909375
transcript.pyannote[385].end 3773.97284375
transcript.pyannote[386].speaker SPEAKER_01
transcript.pyannote[386].start 3775.18784375
transcript.pyannote[386].end 3775.45784375
transcript.pyannote[387].speaker SPEAKER_01
transcript.pyannote[387].start 3775.50846875
transcript.pyannote[387].end 3775.89659375
transcript.pyannote[388].speaker SPEAKER_11
transcript.pyannote[388].start 3775.89659375
transcript.pyannote[388].end 3775.91346875
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 3775.91346875
transcript.pyannote[389].end 3775.93034375
transcript.pyannote[390].speaker SPEAKER_11
transcript.pyannote[390].start 3775.93034375
transcript.pyannote[390].end 3779.98034375
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 3775.98096875
transcript.pyannote[391].end 3785.22846875
transcript.pyannote[392].speaker SPEAKER_02
transcript.pyannote[392].start 3779.98034375
transcript.pyannote[392].end 3780.01409375
transcript.pyannote[393].speaker SPEAKER_11
transcript.pyannote[393].start 3782.07284375
transcript.pyannote[393].end 3782.10659375
transcript.pyannote[394].speaker SPEAKER_02
transcript.pyannote[394].start 3782.10659375
transcript.pyannote[394].end 3786.32534375
transcript.pyannote[395].speaker SPEAKER_11
transcript.pyannote[395].start 3785.22846875
transcript.pyannote[395].end 3785.24534375
transcript.pyannote[396].speaker SPEAKER_01
transcript.pyannote[396].start 3785.24534375
transcript.pyannote[396].end 3785.27909375
transcript.pyannote[397].speaker SPEAKER_11
transcript.pyannote[397].start 3785.27909375
transcript.pyannote[397].end 3785.34659375
transcript.pyannote[398].speaker SPEAKER_01
transcript.pyannote[398].start 3785.34659375
transcript.pyannote[398].end 3785.39721875
transcript.pyannote[399].speaker SPEAKER_11
transcript.pyannote[399].start 3785.39721875
transcript.pyannote[399].end 3785.44784375
transcript.pyannote[400].speaker SPEAKER_11
transcript.pyannote[400].start 3785.70096875
transcript.pyannote[400].end 3785.73471875
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 3785.73471875
transcript.pyannote[401].end 3785.88659375
transcript.pyannote[402].speaker SPEAKER_11
transcript.pyannote[402].start 3785.88659375
transcript.pyannote[402].end 3785.98784375
transcript.pyannote[403].speaker SPEAKER_11
transcript.pyannote[403].start 3786.47721875
transcript.pyannote[403].end 3786.66284375
transcript.pyannote[404].speaker SPEAKER_11
transcript.pyannote[404].start 3786.96659375
transcript.pyannote[404].end 3790.34159375
transcript.pyannote[405].speaker SPEAKER_01
transcript.pyannote[405].start 3787.50659375
transcript.pyannote[405].end 3787.67534375
transcript.pyannote[406].speaker SPEAKER_02
transcript.pyannote[406].start 3789.17721875
transcript.pyannote[406].end 3794.62784375
transcript.pyannote[407].speaker SPEAKER_11
transcript.pyannote[407].start 3790.91534375
transcript.pyannote[407].end 3791.43846875
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 3791.43846875
transcript.pyannote[408].end 3791.48909375
transcript.pyannote[409].speaker SPEAKER_11
transcript.pyannote[409].start 3793.66596875
transcript.pyannote[409].end 3793.78409375
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 3793.78409375
transcript.pyannote[410].end 3794.10471875
transcript.pyannote[411].speaker SPEAKER_11
transcript.pyannote[411].start 3794.10471875
transcript.pyannote[411].end 3794.12159375
transcript.pyannote[412].speaker SPEAKER_02
transcript.pyannote[412].start 3795.23534375
transcript.pyannote[412].end 3795.70784375
transcript.pyannote[413].speaker SPEAKER_02
transcript.pyannote[413].start 3795.91034375
transcript.pyannote[413].end 3797.17596875
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 3796.09596875
transcript.pyannote[414].end 3800.07846875
transcript.pyannote[415].speaker SPEAKER_02
transcript.pyannote[415].start 3798.08721875
transcript.pyannote[415].end 3800.02784375
transcript.pyannote[416].speaker SPEAKER_01
transcript.pyannote[416].start 3800.34846875
transcript.pyannote[416].end 3801.73221875
transcript.pyannote[417].speaker SPEAKER_01
transcript.pyannote[417].start 3802.00221875
transcript.pyannote[417].end 3802.35659375
transcript.pyannote[418].speaker SPEAKER_02
transcript.pyannote[418].start 3802.28909375
transcript.pyannote[418].end 3808.02659375
transcript.pyannote[419].speaker SPEAKER_02
transcript.pyannote[419].start 3808.71846875
transcript.pyannote[419].end 3810.99659375
transcript.pyannote[420].speaker SPEAKER_01
transcript.pyannote[420].start 3809.62971875
transcript.pyannote[420].end 3810.05159375
transcript.pyannote[421].speaker SPEAKER_02
transcript.pyannote[421].start 3811.48596875
transcript.pyannote[421].end 3815.60346875
transcript.pyannote[422].speaker SPEAKER_01
transcript.pyannote[422].start 3811.60409375
transcript.pyannote[422].end 3813.07221875
transcript.pyannote[423].speaker SPEAKER_01
transcript.pyannote[423].start 3814.50659375
transcript.pyannote[423].end 3823.70346875
transcript.pyannote[424].speaker SPEAKER_02
transcript.pyannote[424].start 3820.58159375
transcript.pyannote[424].end 3822.47159375
transcript.pyannote[425].speaker SPEAKER_02
transcript.pyannote[425].start 3823.95659375
transcript.pyannote[425].end 3824.90159375
transcript.pyannote[426].speaker SPEAKER_02
transcript.pyannote[426].start 3825.93096875
transcript.pyannote[426].end 3832.00596875
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 3832.79909375
transcript.pyannote[427].end 3845.80971875
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 3846.31596875
transcript.pyannote[428].end 3848.40846875
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 3851.90159375
transcript.pyannote[429].end 3865.53659375
transcript.pyannote[430].speaker SPEAKER_06
transcript.pyannote[430].start 3867.84846875
transcript.pyannote[430].end 3876.08346875
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 3877.14659375
transcript.pyannote[431].end 3883.91346875
transcript.pyannote[432].speaker SPEAKER_06
transcript.pyannote[432].start 3884.01471875
transcript.pyannote[432].end 3894.03846875
transcript.pyannote[433].speaker SPEAKER_06
transcript.pyannote[433].start 3894.17346875
transcript.pyannote[433].end 3898.00409375
transcript.pyannote[434].speaker SPEAKER_06
transcript.pyannote[434].start 3898.39221875
transcript.pyannote[434].end 3903.99471875
transcript.pyannote[435].speaker SPEAKER_06
transcript.pyannote[435].start 3904.46721875
transcript.pyannote[435].end 3907.69034375
transcript.pyannote[436].speaker SPEAKER_06
transcript.pyannote[436].start 3908.16284375
transcript.pyannote[436].end 3912.33096875
transcript.pyannote[437].speaker SPEAKER_06
transcript.pyannote[437].start 3912.55034375
transcript.pyannote[437].end 3913.30971875
transcript.pyannote[438].speaker SPEAKER_06
transcript.pyannote[438].start 3913.69784375
transcript.pyannote[438].end 3926.20221875
transcript.pyannote[439].speaker SPEAKER_06
transcript.pyannote[439].start 3926.50596875
transcript.pyannote[439].end 3927.45096875
transcript.pyannote[440].speaker SPEAKER_06
transcript.pyannote[440].start 3927.87284375
transcript.pyannote[440].end 3930.30284375
transcript.pyannote[441].speaker SPEAKER_06
transcript.pyannote[441].start 3930.65721875
transcript.pyannote[441].end 3931.58534375
transcript.pyannote[442].speaker SPEAKER_06
transcript.pyannote[442].start 3931.78784375
transcript.pyannote[442].end 3934.77471875
transcript.pyannote[443].speaker SPEAKER_06
transcript.pyannote[443].start 3934.85909375
transcript.pyannote[443].end 3949.45596875
transcript.pyannote[444].speaker SPEAKER_06
transcript.pyannote[444].start 3949.64159375
transcript.pyannote[444].end 3952.84784375
transcript.pyannote[445].speaker SPEAKER_06
transcript.pyannote[445].start 3953.06721875
transcript.pyannote[445].end 3954.38346875
transcript.pyannote[446].speaker SPEAKER_06
transcript.pyannote[446].start 3954.70409375
transcript.pyannote[446].end 3958.43346875
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 3958.68659375
transcript.pyannote[447].end 3963.14159375
transcript.pyannote[448].speaker SPEAKER_06
transcript.pyannote[448].start 3963.49596875
transcript.pyannote[448].end 3965.87534375
transcript.pyannote[449].speaker SPEAKER_06
transcript.pyannote[449].start 3966.26346875
transcript.pyannote[449].end 3969.60471875
transcript.pyannote[450].speaker SPEAKER_06
transcript.pyannote[450].start 3969.97596875
transcript.pyannote[450].end 3973.45221875
transcript.pyannote[451].speaker SPEAKER_06
transcript.pyannote[451].start 3973.68846875
transcript.pyannote[451].end 3976.54034375
transcript.pyannote[452].speaker SPEAKER_06
transcript.pyannote[452].start 3976.79346875
transcript.pyannote[452].end 3977.83971875
transcript.pyannote[453].speaker SPEAKER_06
transcript.pyannote[453].start 3978.43034375
transcript.pyannote[453].end 3980.57346875
transcript.pyannote[454].speaker SPEAKER_06
transcript.pyannote[454].start 3980.97846875
transcript.pyannote[454].end 3983.13846875
transcript.pyannote[455].speaker SPEAKER_06
transcript.pyannote[455].start 3983.45909375
transcript.pyannote[455].end 3984.69096875
transcript.pyannote[456].speaker SPEAKER_06
transcript.pyannote[456].start 3984.97784375
transcript.pyannote[456].end 3987.81284375
transcript.pyannote[457].speaker SPEAKER_06
transcript.pyannote[457].start 3987.96471875
transcript.pyannote[457].end 3991.05284375
transcript.pyannote[458].speaker SPEAKER_06
transcript.pyannote[458].start 3991.33971875
transcript.pyannote[458].end 3993.46596875
transcript.pyannote[459].speaker SPEAKER_06
transcript.pyannote[459].start 3993.75284375
transcript.pyannote[459].end 3997.06034375
transcript.pyannote[460].speaker SPEAKER_06
transcript.pyannote[460].start 3997.24596875
transcript.pyannote[460].end 3999.10221875
transcript.pyannote[461].speaker SPEAKER_06
transcript.pyannote[461].start 3999.43971875
transcript.pyannote[461].end 4001.12721875
transcript.pyannote[462].speaker SPEAKER_06
transcript.pyannote[462].start 4001.93721875
transcript.pyannote[462].end 4004.14784375
transcript.pyannote[463].speaker SPEAKER_06
transcript.pyannote[463].start 4004.41784375
transcript.pyannote[463].end 4021.86659375
transcript.pyannote[464].speaker SPEAKER_06
transcript.pyannote[464].start 4022.08596875
transcript.pyannote[464].end 4023.35159375
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 4023.55409375
transcript.pyannote[465].end 4024.34721875
transcript.pyannote[466].speaker SPEAKER_06
transcript.pyannote[466].start 4024.53284375
transcript.pyannote[466].end 4028.07659375
transcript.pyannote[467].speaker SPEAKER_06
transcript.pyannote[467].start 4028.53221875
transcript.pyannote[467].end 4032.21096875
transcript.pyannote[468].speaker SPEAKER_06
transcript.pyannote[468].start 4032.81846875
transcript.pyannote[468].end 4035.61971875
transcript.pyannote[469].speaker SPEAKER_02
transcript.pyannote[469].start 4036.63221875
transcript.pyannote[469].end 4038.13409375
transcript.pyannote[470].speaker SPEAKER_06
transcript.pyannote[470].start 4038.13409375
transcript.pyannote[470].end 4038.15096875
transcript.pyannote[471].speaker SPEAKER_02
transcript.pyannote[471].start 4038.15096875
transcript.pyannote[471].end 4038.18471875
transcript.pyannote[472].speaker SPEAKER_15
transcript.pyannote[472].start 4038.87659375
transcript.pyannote[472].end 4052.74784375
transcript.pyannote[473].speaker SPEAKER_15
transcript.pyannote[473].start 4052.78159375
transcript.pyannote[473].end 4076.87909375
transcript.pyannote[474].speaker SPEAKER_15
transcript.pyannote[474].start 4077.48659375
transcript.pyannote[474].end 4088.15159375
transcript.pyannote[475].speaker SPEAKER_15
transcript.pyannote[475].start 4088.70846875
transcript.pyannote[475].end 4109.95409375
transcript.pyannote[476].speaker SPEAKER_15
transcript.pyannote[476].start 4110.25784375
transcript.pyannote[476].end 4140.02534375
transcript.pyannote[477].speaker SPEAKER_15
transcript.pyannote[477].start 4140.76784375
transcript.pyannote[477].end 4179.52971875
transcript.pyannote[478].speaker SPEAKER_15
transcript.pyannote[478].start 4180.00221875
transcript.pyannote[478].end 4187.93346875
transcript.pyannote[479].speaker SPEAKER_15
transcript.pyannote[479].start 4188.50721875
transcript.pyannote[479].end 4197.24846875
transcript.pyannote[480].speaker SPEAKER_02
transcript.pyannote[480].start 4197.46784375
transcript.pyannote[480].end 4200.77534375
transcript.pyannote[481].speaker SPEAKER_15
transcript.pyannote[481].start 4200.48846875
transcript.pyannote[481].end 4200.52221875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 4200.52221875
transcript.pyannote[482].end 4206.27659375
transcript.pyannote[483].speaker SPEAKER_10
transcript.pyannote[483].start 4206.51284375
transcript.pyannote[483].end 4209.11159375
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 4209.51659375
transcript.pyannote[484].end 4214.61284375
transcript.pyannote[485].speaker SPEAKER_10
transcript.pyannote[485].start 4215.18659375
transcript.pyannote[485].end 4216.14846875
transcript.pyannote[486].speaker SPEAKER_00
transcript.pyannote[486].start 4215.50721875
transcript.pyannote[486].end 4215.67596875
transcript.pyannote[487].speaker SPEAKER_10
transcript.pyannote[487].start 4216.48596875
transcript.pyannote[487].end 4216.95846875
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 4216.97534375
transcript.pyannote[488].end 4218.40971875
transcript.pyannote[489].speaker SPEAKER_10
transcript.pyannote[489].start 4218.78096875
transcript.pyannote[489].end 4222.61159375
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 4222.81409375
transcript.pyannote[490].end 4226.17221875
transcript.pyannote[491].speaker SPEAKER_10
transcript.pyannote[491].start 4226.35784375
transcript.pyannote[491].end 4228.02846875
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 4229.54721875
transcript.pyannote[492].end 4231.70721875
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 4232.44971875
transcript.pyannote[493].end 4233.78284375
transcript.pyannote[494].speaker SPEAKER_10
transcript.pyannote[494].start 4234.79534375
transcript.pyannote[494].end 4236.29721875
transcript.pyannote[495].speaker SPEAKER_10
transcript.pyannote[495].start 4237.10721875
transcript.pyannote[495].end 4240.33034375
transcript.pyannote[496].speaker SPEAKER_10
transcript.pyannote[496].start 4241.24159375
transcript.pyannote[496].end 4245.93284375
transcript.pyannote[497].speaker SPEAKER_10
transcript.pyannote[497].start 4246.99596875
transcript.pyannote[497].end 4247.43471875
transcript.pyannote[498].speaker SPEAKER_10
transcript.pyannote[498].start 4247.95784375
transcript.pyannote[498].end 4251.50159375
transcript.pyannote[499].speaker SPEAKER_10
transcript.pyannote[499].start 4251.82221875
transcript.pyannote[499].end 4253.10471875
transcript.pyannote[500].speaker SPEAKER_10
transcript.pyannote[500].start 4253.67846875
transcript.pyannote[500].end 4255.61909375
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 4256.34471875
transcript.pyannote[501].end 4258.38659375
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 4258.63971875
transcript.pyannote[502].end 4261.49159375
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 4262.45346875
transcript.pyannote[503].end 4264.44471875
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 4264.74846875
transcript.pyannote[504].end 4271.53221875
transcript.pyannote[505].speaker SPEAKER_10
transcript.pyannote[505].start 4271.76846875
transcript.pyannote[505].end 4275.39659375
transcript.pyannote[506].speaker SPEAKER_10
transcript.pyannote[506].start 4275.75096875
transcript.pyannote[506].end 4278.77159375
transcript.pyannote[507].speaker SPEAKER_10
transcript.pyannote[507].start 4279.17659375
transcript.pyannote[507].end 4280.34096875
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 4281.04971875
transcript.pyannote[508].end 4281.55596875
transcript.pyannote[509].speaker SPEAKER_10
transcript.pyannote[509].start 4282.88909375
transcript.pyannote[509].end 4283.31096875
transcript.pyannote[510].speaker SPEAKER_10
transcript.pyannote[510].start 4283.63159375
transcript.pyannote[510].end 4287.19221875
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 4287.69846875
transcript.pyannote[511].end 4291.64721875
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 4292.96346875
transcript.pyannote[512].end 4293.72284375
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 4294.34721875
transcript.pyannote[513].end 4294.61721875
transcript.pyannote[514].speaker SPEAKER_10
transcript.pyannote[514].start 4295.41034375
transcript.pyannote[514].end 4296.59159375
transcript.pyannote[515].speaker SPEAKER_10
transcript.pyannote[515].start 4297.01346875
transcript.pyannote[515].end 4299.98346875
transcript.pyannote[516].speaker SPEAKER_10
transcript.pyannote[516].start 4300.40534375
transcript.pyannote[516].end 4304.50596875
transcript.pyannote[517].speaker SPEAKER_10
transcript.pyannote[517].start 4305.09659375
transcript.pyannote[517].end 4307.25659375
transcript.pyannote[518].speaker SPEAKER_10
transcript.pyannote[518].start 4307.45909375
transcript.pyannote[518].end 4308.92721875
transcript.pyannote[519].speaker SPEAKER_10
transcript.pyannote[519].start 4309.43346875
transcript.pyannote[519].end 4311.10409375
transcript.pyannote[520].speaker SPEAKER_10
transcript.pyannote[520].start 4311.15471875
transcript.pyannote[520].end 4312.89284375
transcript.pyannote[521].speaker SPEAKER_10
transcript.pyannote[521].start 4313.21346875
transcript.pyannote[521].end 4316.85846875
transcript.pyannote[522].speaker SPEAKER_10
transcript.pyannote[522].start 4317.24659375
transcript.pyannote[522].end 4318.66409375
transcript.pyannote[523].speaker SPEAKER_10
transcript.pyannote[523].start 4319.20409375
transcript.pyannote[523].end 4320.77346875
transcript.pyannote[524].speaker SPEAKER_10
transcript.pyannote[524].start 4321.66784375
transcript.pyannote[524].end 4323.05159375
transcript.pyannote[525].speaker SPEAKER_10
transcript.pyannote[525].start 4323.84471875
transcript.pyannote[525].end 4325.12721875
transcript.pyannote[526].speaker SPEAKER_10
transcript.pyannote[526].start 4325.49846875
transcript.pyannote[526].end 4327.72596875
transcript.pyannote[527].speaker SPEAKER_10
transcript.pyannote[527].start 4328.09721875
transcript.pyannote[527].end 4330.99971875
transcript.pyannote[528].speaker SPEAKER_10
transcript.pyannote[528].start 4331.10096875
transcript.pyannote[528].end 4335.03284375
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 4335.85971875
transcript.pyannote[529].end 4341.37784375
transcript.pyannote[530].speaker SPEAKER_04
transcript.pyannote[530].start 4340.02784375
transcript.pyannote[530].end 4351.06409375
transcript.pyannote[531].speaker SPEAKER_04
transcript.pyannote[531].start 4351.41846875
transcript.pyannote[531].end 4359.68721875
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 4359.75471875
transcript.pyannote[532].end 4390.80471875
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 4390.95659375
transcript.pyannote[533].end 4393.90971875
transcript.pyannote[534].speaker SPEAKER_04
transcript.pyannote[534].start 4394.39909375
transcript.pyannote[534].end 4416.70784375
transcript.pyannote[535].speaker SPEAKER_02
transcript.pyannote[535].start 4416.33659375
transcript.pyannote[535].end 4418.17596875
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 4419.00284375
transcript.pyannote[536].end 4420.48784375
transcript.pyannote[537].speaker SPEAKER_01
transcript.pyannote[537].start 4419.20534375
transcript.pyannote[537].end 4424.40284375
transcript.pyannote[538].speaker SPEAKER_01
transcript.pyannote[538].start 4424.60534375
transcript.pyannote[538].end 4431.10221875
transcript.pyannote[539].speaker SPEAKER_01
transcript.pyannote[539].start 4431.47346875
transcript.pyannote[539].end 4442.03721875
transcript.pyannote[540].speaker SPEAKER_01
transcript.pyannote[540].start 4442.76284375
transcript.pyannote[540].end 4487.85284375
transcript.pyannote[541].speaker SPEAKER_02
transcript.pyannote[541].start 4488.89909375
transcript.pyannote[541].end 4489.21971875
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 4489.50659375
transcript.pyannote[542].end 4491.58221875
transcript.pyannote[543].speaker SPEAKER_10
transcript.pyannote[543].start 4492.98284375
transcript.pyannote[543].end 4496.12159375
transcript.pyannote[544].speaker SPEAKER_10
transcript.pyannote[544].start 4496.52659375
transcript.pyannote[544].end 4500.00284375
transcript.pyannote[545].speaker SPEAKER_10
transcript.pyannote[545].start 4500.47534375
transcript.pyannote[545].end 4503.25971875
transcript.pyannote[546].speaker SPEAKER_16
transcript.pyannote[546].start 4502.34846875
transcript.pyannote[546].end 4502.63534375
transcript.pyannote[547].speaker SPEAKER_10
transcript.pyannote[547].start 4503.86721875
transcript.pyannote[547].end 4508.44034375
transcript.pyannote[548].speaker SPEAKER_16
transcript.pyannote[548].start 4508.81159375
transcript.pyannote[548].end 4509.16596875
transcript.pyannote[549].speaker SPEAKER_10
transcript.pyannote[549].start 4509.01409375
transcript.pyannote[549].end 4511.47784375
transcript.pyannote[550].speaker SPEAKER_10
transcript.pyannote[550].start 4511.84909375
transcript.pyannote[550].end 4515.19034375
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 4516.74284375
transcript.pyannote[551].end 4531.22159375
transcript.pyannote[552].speaker SPEAKER_02
transcript.pyannote[552].start 4531.40721875
transcript.pyannote[552].end 4542.74721875
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 4543.10159375
transcript.pyannote[553].end 4560.04409375
transcript.pyannote[554].speaker SPEAKER_02
transcript.pyannote[554].start 4560.36471875
transcript.pyannote[554].end 4577.89784375
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 4579.07909375
transcript.pyannote[555].end 4584.12471875
transcript.pyannote[556].speaker SPEAKER_02
transcript.pyannote[556].start 4584.58034375
transcript.pyannote[556].end 4604.20596875
transcript.pyannote[557].speaker SPEAKER_02
transcript.pyannote[557].start 4604.84721875
transcript.pyannote[557].end 4608.32346875
transcript.pyannote[558].speaker SPEAKER_07
transcript.pyannote[558].start 4610.36534375
transcript.pyannote[558].end 4716.40784375
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 4719.71534375
transcript.pyannote[559].end 4720.66034375
transcript.pyannote[560].speaker SPEAKER_02
transcript.pyannote[560].start 4721.21721875
transcript.pyannote[560].end 4721.52096875
transcript.pyannote[561].speaker SPEAKER_02
transcript.pyannote[561].start 4722.28034375
transcript.pyannote[561].end 4723.24221875
transcript.pyannote[562].speaker SPEAKER_02
transcript.pyannote[562].start 4724.20409375
transcript.pyannote[562].end 4724.81159375
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 4728.33846875
transcript.pyannote[563].end 4729.35096875
transcript.pyannote[564].speaker SPEAKER_12
transcript.pyannote[564].start 4730.63346875
transcript.pyannote[564].end 4743.64409375
transcript.pyannote[565].speaker SPEAKER_12
transcript.pyannote[565].start 4743.82971875
transcript.pyannote[565].end 4750.37721875
transcript.pyannote[566].speaker SPEAKER_12
transcript.pyannote[566].start 4750.63034375
transcript.pyannote[566].end 4771.74096875
transcript.pyannote[567].speaker SPEAKER_12
transcript.pyannote[567].start 4771.94346875
transcript.pyannote[567].end 4800.20909375
transcript.pyannote[568].speaker SPEAKER_12
transcript.pyannote[568].start 4800.47909375
transcript.pyannote[568].end 4806.52034375
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 4807.04346875
transcript.pyannote[569].end 4808.03909375
transcript.pyannote[570].speaker SPEAKER_10
transcript.pyannote[570].start 4808.03909375
transcript.pyannote[570].end 4808.05596875
transcript.pyannote[571].speaker SPEAKER_02
transcript.pyannote[571].start 4808.05596875
transcript.pyannote[571].end 4808.88284375
transcript.pyannote[572].speaker SPEAKER_10
transcript.pyannote[572].start 4810.01346875
transcript.pyannote[572].end 4811.21159375
transcript.pyannote[573].speaker SPEAKER_10
transcript.pyannote[573].start 4811.59971875
transcript.pyannote[573].end 4815.09284375
transcript.pyannote[574].speaker SPEAKER_10
transcript.pyannote[574].start 4815.58221875
transcript.pyannote[574].end 4821.25221875
transcript.pyannote[575].speaker SPEAKER_10
transcript.pyannote[575].start 4821.65721875
transcript.pyannote[575].end 4822.28159375
transcript.pyannote[576].speaker SPEAKER_10
transcript.pyannote[576].start 4822.66971875
transcript.pyannote[576].end 4833.04784375
transcript.pyannote[577].speaker SPEAKER_10
transcript.pyannote[577].start 4833.28409375
transcript.pyannote[577].end 4839.56159375
transcript.pyannote[578].speaker SPEAKER_10
transcript.pyannote[578].start 4840.70909375
transcript.pyannote[578].end 4844.25284375
transcript.pyannote[579].speaker SPEAKER_10
transcript.pyannote[579].start 4844.69159375
transcript.pyannote[579].end 4845.23159375
transcript.pyannote[580].speaker SPEAKER_10
transcript.pyannote[580].start 4846.05846875
transcript.pyannote[580].end 4847.49284375
transcript.pyannote[581].speaker SPEAKER_10
transcript.pyannote[581].start 4847.83034375
transcript.pyannote[581].end 4849.26471875
transcript.pyannote[582].speaker SPEAKER_10
transcript.pyannote[582].start 4849.85534375
transcript.pyannote[582].end 4850.10846875
transcript.pyannote[583].speaker SPEAKER_10
transcript.pyannote[583].start 4850.42909375
transcript.pyannote[583].end 4851.72846875
transcript.pyannote[584].speaker SPEAKER_10
transcript.pyannote[584].start 4851.84659375
transcript.pyannote[584].end 4852.45409375
transcript.pyannote[585].speaker SPEAKER_10
transcript.pyannote[585].start 4852.79159375
transcript.pyannote[585].end 4856.14971875
transcript.pyannote[586].speaker SPEAKER_10
transcript.pyannote[586].start 4856.52096875
transcript.pyannote[586].end 4858.36034375
transcript.pyannote[587].speaker SPEAKER_10
transcript.pyannote[587].start 4858.79909375
transcript.pyannote[587].end 4859.22096875
transcript.pyannote[588].speaker SPEAKER_10
transcript.pyannote[588].start 4859.42346875
transcript.pyannote[588].end 4860.80721875
transcript.pyannote[589].speaker SPEAKER_10
transcript.pyannote[589].start 4863.01784375
transcript.pyannote[589].end 4864.31721875
transcript.pyannote[590].speaker SPEAKER_10
transcript.pyannote[590].start 4864.67159375
transcript.pyannote[590].end 4867.47284375
transcript.pyannote[591].speaker SPEAKER_10
transcript.pyannote[591].start 4867.94534375
transcript.pyannote[591].end 4874.83034375
transcript.pyannote[592].speaker SPEAKER_10
transcript.pyannote[592].start 4875.77534375
transcript.pyannote[592].end 4880.80409375
transcript.pyannote[593].speaker SPEAKER_10
transcript.pyannote[593].start 4881.58034375
transcript.pyannote[593].end 4886.42346875
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 4886.99721875
transcript.pyannote[594].end 4889.76471875
transcript.pyannote[595].speaker SPEAKER_10
transcript.pyannote[595].start 4890.25409375
transcript.pyannote[595].end 4893.03846875
transcript.pyannote[596].speaker SPEAKER_10
transcript.pyannote[596].start 4894.72596875
transcript.pyannote[596].end 4896.53159375
transcript.pyannote[597].speaker SPEAKER_10
transcript.pyannote[597].start 4897.61159375
transcript.pyannote[597].end 4899.02909375
transcript.pyannote[598].speaker SPEAKER_10
transcript.pyannote[598].start 4899.90659375
transcript.pyannote[598].end 4902.21846875
transcript.pyannote[599].speaker SPEAKER_10
transcript.pyannote[599].start 4902.72471875
transcript.pyannote[599].end 4904.20971875
transcript.pyannote[600].speaker SPEAKER_10
transcript.pyannote[600].start 4904.83409375
transcript.pyannote[600].end 4907.75346875
transcript.pyannote[601].speaker SPEAKER_10
transcript.pyannote[601].start 4908.42846875
transcript.pyannote[601].end 4910.53784375
transcript.pyannote[602].speaker SPEAKER_10
transcript.pyannote[602].start 4910.97659375
transcript.pyannote[602].end 4913.55846875
transcript.pyannote[603].speaker SPEAKER_10
transcript.pyannote[603].start 4913.94659375
transcript.pyannote[603].end 4915.68471875
transcript.pyannote[604].speaker SPEAKER_10
transcript.pyannote[604].start 4916.08971875
transcript.pyannote[604].end 4918.72221875
transcript.pyannote[605].speaker SPEAKER_10
transcript.pyannote[605].start 4919.24534375
transcript.pyannote[605].end 4921.82721875
transcript.pyannote[606].speaker SPEAKER_10
transcript.pyannote[606].start 4922.35034375
transcript.pyannote[606].end 4926.09659375
transcript.pyannote[607].speaker SPEAKER_10
transcript.pyannote[607].start 4926.36659375
transcript.pyannote[607].end 4930.70346875
transcript.pyannote[608].speaker SPEAKER_02
transcript.pyannote[608].start 4931.53034375
transcript.pyannote[608].end 4947.57846875
transcript.pyannote[609].speaker SPEAKER_06
transcript.pyannote[609].start 4952.70846875
transcript.pyannote[609].end 4966.73159375
transcript.pyannote[610].speaker SPEAKER_02
transcript.pyannote[610].start 4955.32409375
transcript.pyannote[610].end 4955.83034375
transcript.pyannote[611].speaker SPEAKER_00
transcript.pyannote[611].start 4955.83034375
transcript.pyannote[611].end 4955.86409375
transcript.pyannote[612].speaker SPEAKER_00
transcript.pyannote[612].start 4957.82159375
transcript.pyannote[612].end 4957.83846875
transcript.pyannote[613].speaker SPEAKER_08
transcript.pyannote[613].start 4957.83846875
transcript.pyannote[613].end 4958.36159375
transcript.pyannote[614].speaker SPEAKER_08
transcript.pyannote[614].start 4964.75721875
transcript.pyannote[614].end 4965.24659375
transcript.pyannote[615].speaker SPEAKER_08
transcript.pyannote[615].start 4965.63471875
transcript.pyannote[615].end 4966.59659375
transcript.pyannote[616].speaker SPEAKER_06
transcript.pyannote[616].start 4967.06909375
transcript.pyannote[616].end 4970.35971875
transcript.pyannote[617].speaker SPEAKER_06
transcript.pyannote[617].start 4972.46909375
transcript.pyannote[617].end 4979.40471875
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 4972.65471875
transcript.pyannote[618].end 4973.24534375
transcript.pyannote[619].speaker SPEAKER_06
transcript.pyannote[619].start 4979.89409375
transcript.pyannote[619].end 4981.83471875
transcript.pyannote[620].speaker SPEAKER_02
transcript.pyannote[620].start 4982.34096875
transcript.pyannote[620].end 4984.55159375
transcript.pyannote[621].speaker SPEAKER_02
transcript.pyannote[621].start 4985.31096875
transcript.pyannote[621].end 4996.48221875
transcript.pyannote[622].speaker SPEAKER_02
transcript.pyannote[622].start 4996.68471875
transcript.pyannote[622].end 4997.29221875
transcript.pyannote[623].speaker SPEAKER_02
transcript.pyannote[623].start 4997.30909375
transcript.pyannote[623].end 4998.06846875
transcript.pyannote[624].speaker SPEAKER_02
transcript.pyannote[624].start 4999.28346875
transcript.pyannote[624].end 4999.51971875
transcript.pyannote[625].speaker SPEAKER_11
transcript.pyannote[625].start 5003.73846875
transcript.pyannote[625].end 5004.53159375
transcript.pyannote[626].speaker SPEAKER_02
transcript.pyannote[626].start 5004.53159375
transcript.pyannote[626].end 5006.74221875
transcript.pyannote[627].speaker SPEAKER_11
transcript.pyannote[627].start 5005.05471875
transcript.pyannote[627].end 5005.10534375
transcript.pyannote[628].speaker SPEAKER_11
transcript.pyannote[628].start 5005.96596875
transcript.pyannote[628].end 5006.57346875
transcript.pyannote[629].speaker SPEAKER_11
transcript.pyannote[629].start 5006.74221875
transcript.pyannote[629].end 5007.90659375
transcript.pyannote[630].speaker SPEAKER_11
transcript.pyannote[630].start 5007.97409375
transcript.pyannote[630].end 5009.05409375
transcript.pyannote[631].speaker SPEAKER_08
transcript.pyannote[631].start 5009.57721875
transcript.pyannote[631].end 5009.99909375
transcript.pyannote[632].speaker SPEAKER_02
transcript.pyannote[632].start 5009.99909375
transcript.pyannote[632].end 5012.71596875
transcript.pyannote[633].speaker SPEAKER_11
transcript.pyannote[633].start 5010.10034375
transcript.pyannote[633].end 5010.26909375
transcript.pyannote[634].speaker SPEAKER_11
transcript.pyannote[634].start 5010.35346875
transcript.pyannote[634].end 5010.37034375
transcript.pyannote[635].speaker SPEAKER_08
transcript.pyannote[635].start 5010.37034375
transcript.pyannote[635].end 5023.80284375
transcript.pyannote[636].speaker SPEAKER_11
transcript.pyannote[636].start 5012.71596875
transcript.pyannote[636].end 5012.85096875
transcript.pyannote[637].speaker SPEAKER_02
transcript.pyannote[637].start 5013.15471875
transcript.pyannote[637].end 5018.04846875
transcript.pyannote[638].speaker SPEAKER_02
transcript.pyannote[638].start 5020.19159375
transcript.pyannote[638].end 5025.10221875
transcript.pyannote[639].speaker SPEAKER_08
transcript.pyannote[639].start 5026.13159375
transcript.pyannote[639].end 5037.74159375
transcript.pyannote[640].speaker SPEAKER_07
transcript.pyannote[640].start 5029.32096875
transcript.pyannote[640].end 5029.33784375
transcript.pyannote[641].speaker SPEAKER_02
transcript.pyannote[641].start 5029.33784375
transcript.pyannote[641].end 5029.65846875
transcript.pyannote[642].speaker SPEAKER_07
transcript.pyannote[642].start 5029.65846875
transcript.pyannote[642].end 5029.70909375
transcript.pyannote[643].speaker SPEAKER_02
transcript.pyannote[643].start 5029.70909375
transcript.pyannote[643].end 5029.79346875
transcript.pyannote[644].speaker SPEAKER_07
transcript.pyannote[644].start 5029.79346875
transcript.pyannote[644].end 5029.84409375
transcript.pyannote[645].speaker SPEAKER_02
transcript.pyannote[645].start 5029.84409375
transcript.pyannote[645].end 5029.89471875
transcript.pyannote[646].speaker SPEAKER_07
transcript.pyannote[646].start 5029.89471875
transcript.pyannote[646].end 5030.23221875
transcript.pyannote[647].speaker SPEAKER_07
transcript.pyannote[647].start 5032.07159375
transcript.pyannote[647].end 5032.24034375
transcript.pyannote[648].speaker SPEAKER_07
transcript.pyannote[648].start 5032.40909375
transcript.pyannote[648].end 5035.48034375
transcript.pyannote[649].speaker SPEAKER_07
transcript.pyannote[649].start 5035.51409375
transcript.pyannote[649].end 5037.06659375
transcript.pyannote[650].speaker SPEAKER_08
transcript.pyannote[650].start 5038.87221875
transcript.pyannote[650].end 5042.97284375
transcript.pyannote[651].speaker SPEAKER_09
transcript.pyannote[651].start 5041.62284375
transcript.pyannote[651].end 5042.90534375
transcript.pyannote[652].speaker SPEAKER_07
transcript.pyannote[652].start 5042.97284375
transcript.pyannote[652].end 5043.44534375
transcript.pyannote[653].speaker SPEAKER_09
transcript.pyannote[653].start 5043.32721875
transcript.pyannote[653].end 5043.56346875
transcript.pyannote[654].speaker SPEAKER_08
transcript.pyannote[654].start 5043.56346875
transcript.pyannote[654].end 5043.69846875
transcript.pyannote[655].speaker SPEAKER_08
transcript.pyannote[655].start 5043.90096875
transcript.pyannote[655].end 5043.91784375
transcript.pyannote[656].speaker SPEAKER_09
transcript.pyannote[656].start 5043.91784375
transcript.pyannote[656].end 5049.95909375
transcript.pyannote[657].speaker SPEAKER_08
transcript.pyannote[657].start 5044.01909375
transcript.pyannote[657].end 5044.03596875
transcript.pyannote[658].speaker SPEAKER_07
transcript.pyannote[658].start 5044.03596875
transcript.pyannote[658].end 5045.48721875
transcript.pyannote[659].speaker SPEAKER_07
transcript.pyannote[659].start 5048.67659375
transcript.pyannote[659].end 5055.03846875
transcript.pyannote[660].speaker SPEAKER_08
transcript.pyannote[660].start 5051.79846875
transcript.pyannote[660].end 5051.81534375
transcript.pyannote[661].speaker SPEAKER_09
transcript.pyannote[661].start 5051.81534375
transcript.pyannote[661].end 5051.96721875
transcript.pyannote[662].speaker SPEAKER_08
transcript.pyannote[662].start 5051.96721875
transcript.pyannote[662].end 5064.64034375
transcript.pyannote[663].speaker SPEAKER_02
transcript.pyannote[663].start 5055.03846875
transcript.pyannote[663].end 5056.13534375
transcript.pyannote[664].speaker SPEAKER_02
transcript.pyannote[664].start 5056.48971875
transcript.pyannote[664].end 5056.65846875
transcript.pyannote[665].speaker SPEAKER_02
transcript.pyannote[665].start 5057.80596875
transcript.pyannote[665].end 5064.70784375
transcript.pyannote[666].speaker SPEAKER_08
transcript.pyannote[666].start 5064.70784375
transcript.pyannote[666].end 5067.03659375
transcript.pyannote[667].speaker SPEAKER_02
transcript.pyannote[667].start 5065.43346875
transcript.pyannote[667].end 5070.71534375
transcript.pyannote[668].speaker SPEAKER_09
transcript.pyannote[668].start 5067.03659375
transcript.pyannote[668].end 5068.53846875
transcript.pyannote[669].speaker SPEAKER_09
transcript.pyannote[669].start 5069.82096875
transcript.pyannote[669].end 5077.54971875
transcript.pyannote[670].speaker SPEAKER_02
transcript.pyannote[670].start 5072.43659375
transcript.pyannote[670].end 5073.97221875
transcript.pyannote[671].speaker SPEAKER_08
transcript.pyannote[671].start 5073.97221875
transcript.pyannote[671].end 5074.00596875
transcript.pyannote[672].speaker SPEAKER_02
transcript.pyannote[672].start 5074.00596875
transcript.pyannote[672].end 5074.02284375
transcript.pyannote[673].speaker SPEAKER_08
transcript.pyannote[673].start 5074.02284375
transcript.pyannote[673].end 5074.14096875
transcript.pyannote[674].speaker SPEAKER_02
transcript.pyannote[674].start 5074.14096875
transcript.pyannote[674].end 5075.28846875
transcript.pyannote[675].speaker SPEAKER_08
transcript.pyannote[675].start 5075.28846875
transcript.pyannote[675].end 5077.36409375
transcript.pyannote[676].speaker SPEAKER_08
transcript.pyannote[676].start 5077.54971875
transcript.pyannote[676].end 5077.56659375
transcript.pyannote[677].speaker SPEAKER_09
transcript.pyannote[677].start 5077.56659375
transcript.pyannote[677].end 5077.70159375
transcript.pyannote[678].speaker SPEAKER_09
transcript.pyannote[678].start 5077.90409375
transcript.pyannote[678].end 5079.00096875
transcript.pyannote[679].speaker SPEAKER_08
transcript.pyannote[679].start 5078.14034375
transcript.pyannote[679].end 5078.69721875
transcript.pyannote[680].speaker SPEAKER_08
transcript.pyannote[680].start 5079.00096875
transcript.pyannote[680].end 5079.08534375
transcript.pyannote[681].speaker SPEAKER_09
transcript.pyannote[681].start 5079.08534375
transcript.pyannote[681].end 5079.11909375
transcript.pyannote[682].speaker SPEAKER_08
transcript.pyannote[682].start 5079.11909375
transcript.pyannote[682].end 5079.16971875
transcript.pyannote[683].speaker SPEAKER_09
transcript.pyannote[683].start 5079.16971875
transcript.pyannote[683].end 5079.20346875
transcript.pyannote[684].speaker SPEAKER_08
transcript.pyannote[684].start 5079.20346875
transcript.pyannote[684].end 5079.23721875
transcript.pyannote[685].speaker SPEAKER_09
transcript.pyannote[685].start 5079.23721875
transcript.pyannote[685].end 5079.62534375
transcript.pyannote[686].speaker SPEAKER_08
transcript.pyannote[686].start 5079.45659375
transcript.pyannote[686].end 5080.57034375
transcript.pyannote[687].speaker SPEAKER_08
transcript.pyannote[687].start 5080.72221875
transcript.pyannote[687].end 5080.78971875
transcript.pyannote[688].speaker SPEAKER_08
transcript.pyannote[688].start 5082.32534375
transcript.pyannote[688].end 5082.35909375
transcript.pyannote[689].speaker SPEAKER_09
transcript.pyannote[689].start 5082.35909375
transcript.pyannote[689].end 5083.89471875
transcript.pyannote[690].speaker SPEAKER_07
transcript.pyannote[690].start 5083.89471875
transcript.pyannote[690].end 5085.75096875
transcript.pyannote[691].speaker SPEAKER_09
transcript.pyannote[691].start 5085.75096875
transcript.pyannote[691].end 5095.03221875
transcript.pyannote[692].speaker SPEAKER_07
transcript.pyannote[692].start 5086.84784375
transcript.pyannote[692].end 5087.16846875
transcript.pyannote[693].speaker SPEAKER_07
transcript.pyannote[693].start 5089.21034375
transcript.pyannote[693].end 5089.63221875
transcript.pyannote[694].speaker SPEAKER_07
transcript.pyannote[694].start 5093.24346875
transcript.pyannote[694].end 5097.86721875
transcript.pyannote[695].speaker SPEAKER_09
transcript.pyannote[695].start 5095.79159375
transcript.pyannote[695].end 5101.96784375
transcript.pyannote[696].speaker SPEAKER_08
transcript.pyannote[696].start 5101.07346875
transcript.pyannote[696].end 5101.36034375
transcript.pyannote[697].speaker SPEAKER_08
transcript.pyannote[697].start 5101.96784375
transcript.pyannote[697].end 5102.10284375
transcript.pyannote[698].speaker SPEAKER_09
transcript.pyannote[698].start 5102.10284375
transcript.pyannote[698].end 5102.57534375
transcript.pyannote[699].speaker SPEAKER_09
transcript.pyannote[699].start 5102.71034375
transcript.pyannote[699].end 5102.74409375
transcript.pyannote[700].speaker SPEAKER_07
transcript.pyannote[700].start 5102.74409375
transcript.pyannote[700].end 5102.76096875
transcript.pyannote[701].speaker SPEAKER_09
transcript.pyannote[701].start 5102.76096875
transcript.pyannote[701].end 5103.90846875
transcript.pyannote[702].speaker SPEAKER_09
transcript.pyannote[702].start 5104.22909375
transcript.pyannote[702].end 5104.92096875
transcript.pyannote[703].speaker SPEAKER_09
transcript.pyannote[703].start 5105.02221875
transcript.pyannote[703].end 5105.03909375
transcript.pyannote[704].speaker SPEAKER_09
transcript.pyannote[704].start 5105.39346875
transcript.pyannote[704].end 5106.03471875
transcript.pyannote[705].speaker SPEAKER_09
transcript.pyannote[705].start 5108.97096875
transcript.pyannote[705].end 5109.03846875
transcript.pyannote[706].speaker SPEAKER_09
transcript.pyannote[706].start 5109.39284375
transcript.pyannote[706].end 5109.46034375
transcript.pyannote[707].speaker SPEAKER_07
transcript.pyannote[707].start 5110.96221875
transcript.pyannote[707].end 5113.03784375
transcript.pyannote[708].speaker SPEAKER_10
transcript.pyannote[708].start 5117.07096875
transcript.pyannote[708].end 5117.25659375
transcript.pyannote[709].speaker SPEAKER_10
transcript.pyannote[709].start 5117.40846875
transcript.pyannote[709].end 5117.54346875
transcript.pyannote[710].speaker SPEAKER_10
transcript.pyannote[710].start 5118.13409375
transcript.pyannote[710].end 5119.58534375
transcript.pyannote[711].speaker SPEAKER_08
transcript.pyannote[711].start 5120.19284375
transcript.pyannote[711].end 5120.42909375
transcript.pyannote[712].speaker SPEAKER_08
transcript.pyannote[712].start 5121.15471875
transcript.pyannote[712].end 5124.22596875
transcript.pyannote[713].speaker SPEAKER_07
transcript.pyannote[713].start 5121.72846875
transcript.pyannote[713].end 5121.79596875
transcript.pyannote[714].speaker SPEAKER_07
transcript.pyannote[714].start 5121.81284375
transcript.pyannote[714].end 5123.11221875
transcript.pyannote[715].speaker SPEAKER_10
transcript.pyannote[715].start 5123.11221875
transcript.pyannote[715].end 5123.17971875
transcript.pyannote[716].speaker SPEAKER_10
transcript.pyannote[716].start 5124.22596875
transcript.pyannote[716].end 5124.44534375
transcript.pyannote[717].speaker SPEAKER_08
transcript.pyannote[717].start 5124.44534375
transcript.pyannote[717].end 5128.79909375
transcript.pyannote[718].speaker SPEAKER_10
transcript.pyannote[718].start 5124.64784375
transcript.pyannote[718].end 5124.85034375
transcript.pyannote[719].speaker SPEAKER_07
transcript.pyannote[719].start 5124.85034375
transcript.pyannote[719].end 5124.96846875
transcript.pyannote[720].speaker SPEAKER_07
transcript.pyannote[720].start 5125.98096875
transcript.pyannote[720].end 5126.11596875
transcript.pyannote[721].speaker SPEAKER_09
transcript.pyannote[721].start 5126.11596875
transcript.pyannote[721].end 5135.95409375
transcript.pyannote[722].speaker SPEAKER_08
transcript.pyannote[722].start 5132.79846875
transcript.pyannote[722].end 5133.27096875
transcript.pyannote[723].speaker SPEAKER_08
transcript.pyannote[723].start 5133.91221875
transcript.pyannote[723].end 5134.89096875
transcript.pyannote[724].speaker SPEAKER_08
transcript.pyannote[724].start 5135.95409375
transcript.pyannote[724].end 5135.98784375
transcript.pyannote[725].speaker SPEAKER_09
transcript.pyannote[725].start 5135.98784375
transcript.pyannote[725].end 5136.25784375
transcript.pyannote[726].speaker SPEAKER_08
transcript.pyannote[726].start 5136.25784375
transcript.pyannote[726].end 5136.32534375
transcript.pyannote[727].speaker SPEAKER_09
transcript.pyannote[727].start 5136.32534375
transcript.pyannote[727].end 5136.52784375
transcript.pyannote[728].speaker SPEAKER_08
transcript.pyannote[728].start 5136.52784375
transcript.pyannote[728].end 5137.03409375
transcript.pyannote[729].speaker SPEAKER_09
transcript.pyannote[729].start 5137.03409375
transcript.pyannote[729].end 5150.24721875
transcript.pyannote[730].speaker SPEAKER_08
transcript.pyannote[730].start 5137.35471875
transcript.pyannote[730].end 5137.94534375
transcript.pyannote[731].speaker SPEAKER_08
transcript.pyannote[731].start 5138.29971875
transcript.pyannote[731].end 5139.64971875
transcript.pyannote[732].speaker SPEAKER_08
transcript.pyannote[732].start 5141.77596875
transcript.pyannote[732].end 5141.94471875
transcript.pyannote[733].speaker SPEAKER_08
transcript.pyannote[733].start 5143.02471875
transcript.pyannote[733].end 5143.54784375
transcript.pyannote[734].speaker SPEAKER_08
transcript.pyannote[734].start 5145.43784375
transcript.pyannote[734].end 5145.69096875
transcript.pyannote[735].speaker SPEAKER_08
transcript.pyannote[735].start 5146.02846875
transcript.pyannote[735].end 5173.73721875
transcript.pyannote[736].speaker SPEAKER_09
transcript.pyannote[736].start 5156.89596875
transcript.pyannote[736].end 5157.46971875
transcript.pyannote[737].speaker SPEAKER_00
transcript.pyannote[737].start 5157.46971875
transcript.pyannote[737].end 5157.53721875
transcript.pyannote[738].speaker SPEAKER_00
transcript.pyannote[738].start 5168.87721875
transcript.pyannote[738].end 5168.92784375
transcript.pyannote[739].speaker SPEAKER_04
transcript.pyannote[739].start 5168.92784375
transcript.pyannote[739].end 5168.97846875
transcript.pyannote[740].speaker SPEAKER_04
transcript.pyannote[740].start 5171.23971875
transcript.pyannote[740].end 5173.33221875
transcript.pyannote[741].speaker SPEAKER_11
transcript.pyannote[741].start 5173.33221875
transcript.pyannote[741].end 5173.36596875
transcript.pyannote[742].speaker SPEAKER_08
transcript.pyannote[742].start 5174.90159375
transcript.pyannote[742].end 5175.23909375
transcript.pyannote[743].speaker SPEAKER_08
transcript.pyannote[743].start 5176.04909375
transcript.pyannote[743].end 5186.46096875
transcript.pyannote[744].speaker SPEAKER_09
transcript.pyannote[744].start 5187.06846875
transcript.pyannote[744].end 5192.73846875
transcript.pyannote[745].speaker SPEAKER_01
transcript.pyannote[745].start 5195.97846875
transcript.pyannote[745].end 5196.02909375
transcript.pyannote[746].speaker SPEAKER_11
transcript.pyannote[746].start 5196.56909375
transcript.pyannote[746].end 5196.90659375
transcript.pyannote[747].speaker SPEAKER_11
transcript.pyannote[747].start 5196.97409375
transcript.pyannote[747].end 5197.02471875
transcript.pyannote[748].speaker SPEAKER_11
transcript.pyannote[748].start 5197.19346875
transcript.pyannote[748].end 5197.73346875
transcript.pyannote[749].speaker SPEAKER_11
transcript.pyannote[749].start 5197.96971875
transcript.pyannote[749].end 5198.17221875
transcript.pyannote[750].speaker SPEAKER_11
transcript.pyannote[750].start 5201.36159375
transcript.pyannote[750].end 5201.71596875
transcript.pyannote[751].speaker SPEAKER_02
transcript.pyannote[751].start 5221.44284375
transcript.pyannote[751].end 5221.91534375
transcript.pyannote[752].speaker SPEAKER_02
transcript.pyannote[752].start 5222.23596875
transcript.pyannote[752].end 5226.75846875
transcript.pyannote[753].speaker SPEAKER_03
transcript.pyannote[753].start 5227.99034375
transcript.pyannote[753].end 5236.90034375
transcript.pyannote[754].speaker SPEAKER_03
transcript.pyannote[754].start 5237.38971875
transcript.pyannote[754].end 5246.14784375
transcript.pyannote[755].speaker SPEAKER_03
transcript.pyannote[755].start 5246.24909375
transcript.pyannote[755].end 5249.64096875
transcript.pyannote[756].speaker SPEAKER_03
transcript.pyannote[756].start 5249.79284375
transcript.pyannote[756].end 5260.81221875
transcript.pyannote[757].speaker SPEAKER_08
transcript.pyannote[757].start 5262.21284375
transcript.pyannote[757].end 5262.31409375
transcript.pyannote[758].speaker SPEAKER_08
transcript.pyannote[758].start 5262.55034375
transcript.pyannote[758].end 5264.49096875
transcript.pyannote[759].speaker SPEAKER_02
transcript.pyannote[759].start 5268.42284375
transcript.pyannote[759].end 5270.68409375
transcript.pyannote[760].speaker SPEAKER_02
transcript.pyannote[760].start 5271.52784375
transcript.pyannote[760].end 5272.33784375
transcript.pyannote[761].speaker SPEAKER_02
transcript.pyannote[761].start 5274.07596875
transcript.pyannote[761].end 5276.47221875
transcript.pyannote[762].speaker SPEAKER_02
transcript.pyannote[762].start 5277.40034375
transcript.pyannote[762].end 5277.53534375
transcript.pyannote[763].speaker SPEAKER_02
transcript.pyannote[763].start 5279.83034375
transcript.pyannote[763].end 5287.23846875
transcript.pyannote[764].speaker SPEAKER_02
transcript.pyannote[764].start 5287.27221875
transcript.pyannote[764].end 5287.37346875
transcript.pyannote[765].speaker SPEAKER_02
transcript.pyannote[765].start 5287.44096875
transcript.pyannote[765].end 5304.77159375
transcript.pyannote[766].speaker SPEAKER_02
transcript.pyannote[766].start 5304.82221875
transcript.pyannote[766].end 5306.83034375
transcript.pyannote[767].speaker SPEAKER_02
transcript.pyannote[767].start 5307.10034375
transcript.pyannote[767].end 5308.95659375
transcript.pyannote[768].speaker SPEAKER_02
transcript.pyannote[768].start 5309.19284375
transcript.pyannote[768].end 5310.93096875
transcript.pyannote[769].speaker SPEAKER_02
transcript.pyannote[769].start 5311.23471875
transcript.pyannote[769].end 5313.10784375
transcript.pyannote[770].speaker SPEAKER_02
transcript.pyannote[770].start 5313.49596875
transcript.pyannote[770].end 5334.38721875
transcript.pyannote[771].speaker SPEAKER_02
transcript.pyannote[771].start 5335.39971875
transcript.pyannote[771].end 5345.08596875
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 5345.44034375
transcript.pyannote[772].end 5347.14471875
transcript.pyannote[773].speaker SPEAKER_02
transcript.pyannote[773].start 5347.49909375
transcript.pyannote[773].end 5349.28784375
transcript.pyannote[774].speaker SPEAKER_02
transcript.pyannote[774].start 5349.67596875
transcript.pyannote[774].end 5351.48159375
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 5351.85284375
transcript.pyannote[775].end 5353.08471875
transcript.pyannote[776].speaker SPEAKER_02
transcript.pyannote[776].start 5353.10159375
transcript.pyannote[776].end 5354.62034375
transcript.pyannote[777].speaker SPEAKER_02
transcript.pyannote[777].start 5354.94096875
transcript.pyannote[777].end 5356.91534375
transcript.pyannote[778].speaker SPEAKER_02
transcript.pyannote[778].start 5357.21909375
transcript.pyannote[778].end 5359.34534375
transcript.pyannote[779].speaker SPEAKER_02
transcript.pyannote[779].start 5359.66596875
transcript.pyannote[779].end 5361.50534375
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 5361.77534375
transcript.pyannote[780].end 5363.73284375
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 5364.05346875
transcript.pyannote[781].end 5366.36534375
transcript.pyannote[782].speaker SPEAKER_02
transcript.pyannote[782].start 5366.93909375
transcript.pyannote[782].end 5374.06034375
transcript.pyannote[783].speaker SPEAKER_02
transcript.pyannote[783].start 5374.97159375
transcript.pyannote[783].end 5382.07596875
transcript.pyannote[784].speaker SPEAKER_02
transcript.pyannote[784].start 5384.11784375
transcript.pyannote[784].end 5395.79534375
transcript.pyannote[785].speaker SPEAKER_02
transcript.pyannote[785].start 5396.20034375
transcript.pyannote[785].end 5399.03534375
transcript.pyannote[786].speaker SPEAKER_02
transcript.pyannote[786].start 5399.45721875
transcript.pyannote[786].end 5400.41909375
transcript.pyannote[787].speaker SPEAKER_02
transcript.pyannote[787].start 5404.87409375
transcript.pyannote[787].end 5414.34096875
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 5414.96534375
transcript.pyannote[788].end 5416.24784375
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 5417.12534375
transcript.pyannote[789].end 5444.09159375
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 5445.01971875
transcript.pyannote[790].end 5445.07034375
transcript.pyannote[791].speaker SPEAKER_02
transcript.pyannote[791].start 5446.35284375
transcript.pyannote[791].end 5450.28471875
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 5450.95971875
transcript.pyannote[792].end 5452.91721875
transcript.pyannote[793].speaker SPEAKER_08
transcript.pyannote[793].start 5452.91721875
transcript.pyannote[793].end 5452.95096875
transcript.pyannote[794].speaker SPEAKER_02
transcript.pyannote[794].start 5452.95096875
transcript.pyannote[794].end 5452.96784375
transcript.pyannote[795].speaker SPEAKER_08
transcript.pyannote[795].start 5452.96784375
transcript.pyannote[795].end 5454.26721875
transcript.pyannote[796].speaker SPEAKER_02
transcript.pyannote[796].start 5454.26721875
transcript.pyannote[796].end 5454.33471875
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 5454.40221875
transcript.pyannote[797].end 5455.43159375
transcript.pyannote[798].speaker SPEAKER_08
transcript.pyannote[798].start 5457.37221875
transcript.pyannote[798].end 5457.76034375
transcript.pyannote[799].speaker SPEAKER_08
transcript.pyannote[799].start 5459.00909375
transcript.pyannote[799].end 5459.02596875
transcript.pyannote[800].speaker SPEAKER_02
transcript.pyannote[800].start 5460.10596875
transcript.pyannote[800].end 5463.41346875
transcript.whisperx[0].start 1566.535
transcript.whisperx[0].end 1572.382
transcript.whisperx[0].text 請主任秘書報告出席委員人數報告委員會出席委員與主法定人數現在開始開會請議事人員宣佈上次會議議事錄
transcript.whisperx[1].start 1579.522
transcript.whisperx[1].end 1600.254
transcript.whisperx[1].text 立法院第十一屆第四會期財政委員會第十次全體委員會議議事錄時間綜合民國一百一十四年十二月三日星期三九十一分至十二十二分地點群雄樓九樓大禮堂出席委員林德福委員等十四人列席委員鄭振全委員等八人列席官員經過委員會主委彭金榮暨所屬單位代表及保護部參事廖江憲等
transcript.whisperx[2].start 1600.954
transcript.whisperx[2].end 1628.832
transcript.whisperx[2].text 主席林昭吉委員施名報告事項宣讀商事會議事錄決定議事錄確定討論事項審查本院委員參與等16人委員牛許廷等26人分別擬據銀行法第125條及125條之4條人修正草案案等二案經委員牛許廷說明提案要者儘管會主委回應委員提案後藉由委員林德福等15人提出質詢均應儘管會同主委法務部法制司廖參事及相關人員予以答覆
transcript.whisperx[3].start 1629.772
transcript.whisperx[3].end 1655.963
transcript.whisperx[3].text 決議一 說明及詢討完畢二 委員質詢未及答覆或請補充資訊請金管會於一周內以順便答覆委員令要求期限則從期鎖定三 委員 邱志偉 陳玉珍 所提順便質詢列入紀錄刊登公報並請金管會以順便答覆四本院委員 蔡玉瑜等16人委員 牛許廷等26人分別擬具銀行保第125條及第125條之四條文修正草案等二案另則期繼續審查 宣讀完畢
transcript.whisperx[4].start 1658.055
transcript.whisperx[4].end 1660.544
transcript.whisperx[4].text 好 對 請問各位委員對議事錄有沒有意義
transcript.whisperx[5].start 1662.301
transcript.whisperx[5].end 1691.386
transcript.whisperx[5].text 沒有異議 我們議事錄確定民進黨團建請變更議程針對本次財政委員會全體委員會討論事項建請針列委員陳俊宇等二十人擬具使用牌照稅法第五條條文修正草案提案人有吳秉瑞 郭國文 賴慧媛 李昆城請問各位委員有沒有意見沒有意見 好那我們就針列
transcript.whisperx[6].start 1693.848
transcript.whisperx[6].end 1718.537
transcript.whisperx[6].text 請議事人員宣讀今日議程討論事項一繼續審查使用牌照稅二十九案一行政院函勤審議本院委員邱振軍的十九人委員陳昌明等十八人委員羅明才等二十人委員廖偉祥等十九人委員楊瓊英等二十七人委員徐宇震等二十二人委員邱若驊等十七人委員林俊憲等二十六人
transcript.whisperx[7].start 1719.117
transcript.whisperx[7].end 1738.157
transcript.whisperx[7].text 王宏維19人李彥秀16人蘇清泉18人徐欣怡24人郭玉琴19人王美惠19人李昆城18人羅天惠17人郭國文18人吳佩儀17人葛如君16人沈發慧16人林思明22人
transcript.whisperx[8].start 1740.379
transcript.whisperx[8].end 1761.32
transcript.whisperx[8].text 委員賴世保等25人 委員黃建豪等20人分別擬具使用牌照稅法第5條條文修正草案等24案二本院台灣民眾黨的很擬具使用牌照稅法第5條及第7條條文修正草案案三本院委員廖先祥等17人擬具使用牌照稅法第5條及第38條條文修正草案案四本院委員牛許廷等
transcript.whisperx[9].start 1762.38
transcript.whisperx[9].end 1778.413
transcript.whisperx[9].text 17人委員鍾嘉碧等16人分別擬聚使用牌照稅法第7條條文修正草案案等二案5本院委員廖偉祥等17人擬聚使用牌照稅法第7條及第38條條文修正草案案2審查使用牌照稅法16案1本院委員陳樹岳等21人
transcript.whisperx[10].start 1780.535
transcript.whisperx[10].end 1807.018
transcript.whisperx[10].text 委員吳麗華等16人 委員盲君等16人委員羅美玲等18人 委員顏寬恆等17人委員林玉琴等17人 委員葉元之等20人委員徐富奎等17人 委員陳昌明等16人委員丁學忠等18人 委員張志倫等17人委員徐巧欣等23人 委員萬美玲等18人委員洪孟凱等19人 委員翁曉琳等18人分別擬據使用牌照稅法第5條 條文修正草案等15案
transcript.whisperx[11].start 1807.839
transcript.whisperx[11].end 1826.345
transcript.whisperx[11].text 二 本院委員林世民等二十三人女俊使用牌照稅法第七條條文修正草案案三 本院委員陳俊宇等二十人女俊使用牌照稅法第五條條文修正草案案宣讀完畢
transcript.whisperx[12].start 1829.631
transcript.whisperx[12].end 1848.938
transcript.whisperx[12].text 我們本次會議安排審查行政院函請審議委員邱正軍等19人分別擬具使用牌照稅法第5條條文修正草案以及第7條條文修正草案第38條條文修正草案總共我們有
transcript.whisperx[13].start 1851.252
transcript.whisperx[13].end 1861.799
transcript.whisperx[13].text 四十六案的條文內容以及含我們今天有兩個修正 共兩案我們現在預計宣讀時間五分鐘請議事人員宣讀使用牌照稅法修正草案新增十七案
transcript.whisperx[14].start 1871.522
transcript.whisperx[14].end 1900.405
transcript.whisperx[14].text 委員陳樹岳等21人委員吳麗華等16人委員丁雪忠等18人委員林月琴等17人委員徐巧欣等23人委員徐富鬼等17人委員翁曉琳等18人委員張志倫等17人委員萬美玲等18人委員顏匡衡等17人委員馬文君等16人提案及委員陳俊宇等20人提案均與行政院提案相同
transcript.whisperx[15].start 1902.082
transcript.whisperx[15].end 1925.84
transcript.whisperx[15].text 修正第五條第二項同行政院提案新增第三項前項自中華民國一百十五年一月一日起因免徵使用牌照稅造成直轄市及縣市政府減少之稅收應由中央能源主管機關補足之委員洪孟凱等十九人提案委員陳昌明等十六人提案委員葉元之等二十人提案均相同
transcript.whisperx[16].start 1926.997
transcript.whisperx[16].end 1943.872
transcript.whisperx[16].text 委員羅美玲等18案提案修正第5條第2項條文為直轄市及縣市政府於下列期間得對完全以電能為動力之機動車輛免徵使用牌照稅並報財政部被查1.電動汽車自中華民國101年1月6日起至120年12月31日止2.電動機車自中華民國107年1月1日起至120年12月31日止
transcript.whisperx[17].start 1953.874
transcript.whisperx[17].end 1973.772
transcript.whisperx[17].text 委員林士明等二十三人提案修正第七條第一項第八款部分文職刪除同一戶籍等四字宣讀完畢委員林士明等人所提修正動議第二項後段增列
transcript.whisperx[18].start 1975.02
transcript.whisperx[18].end 1995.275
transcript.whisperx[18].text 直轄市及縣市政府於下列期間得對完全以電能為動力值機動車輛及與我國能源效率標示中純電行程測試值達80公里以上之油電混合動力車輛免徵使用牌照稅並報財政部被查第七條
transcript.whisperx[19].start 1997.458
transcript.whisperx[19].end 2007.51
transcript.whisperx[19].text 好我們現在進行委員林思明等人所提修正動議使用牌照稅法第七條條文修正動議修正第一項第八款
transcript.whisperx[20].start 2009.264
transcript.whisperx[20].end 2036.073
transcript.whisperx[20].text 供持有身心障礙手冊或證明 並領有駕駛執照者使用 且為該身心障礙者使用所用之車輛 每人以一輛為限 因身心障礙情況致無駕駛執照者 其本人配有同一戶籍二親等以內親屬或車籍與身心障礙戶籍為同一直轄市或縣市之二親等以內親屬所有以下與行政院提案相同 宣讀完畢
transcript.whisperx[21].start 2038.547
transcript.whisperx[21].end 2039.008
transcript.whisperx[21].text 好 謝謝 我們現在開始協商
transcript.whisperx[22].start 2097.5
transcript.whisperx[22].end 2097.52
transcript.whisperx[22].text
transcript.whisperx[23].start 2108.649
transcript.whisperx[23].end 2129.449
transcript.whisperx[23].text 各位委員還有我們部長我想今天的修法針對使用牌照稅法第五條我們有諸多委員眾多委員提案包含邱正軍委員陳超明委員羅明財委員楊瓊英委員徐益臻委員邱若驊委員林俊憲委員王宏威委員蘇清泉委員
transcript.whisperx[24].start 2130.593
transcript.whisperx[24].end 2152.665
transcript.whisperx[24].text 郭益勤委員 王美惠委員 李坤成委員 羅廷維委員 郭國文委員 吳佩奕委員 葛如君委員還有我本人 賴世保委員 黃建豪委員 陳樹業委員 吳立華委員馬文君委員 袁寬恆委員 林月琴委員 習富奎委員 丁學忠委員 張志倫委員 習巧行委員 萬美玲委員
transcript.whisperx[25].start 2153.706
transcript.whisperx[25].end 2171.383
transcript.whisperx[25].text 翁曉琳委員還有台灣民眾黨團以及剛才我們曾烈成俊宇委員的提案提案同行政院提案均延至119年12月31號我想基本上對於這個貴委員的提案都是意見都一致
transcript.whisperx[26].start 2172.284
transcript.whisperx[26].end 2186.514
transcript.whisperx[26].text 把貨物稅電動車的免稅延至119年12月31日我想委員的修法的方向都是一致的文質也差不多先請財政部對委員這個提案有沒有意見
transcript.whisperx[27].start 2190.313
transcript.whisperx[27].end 2200.884
transcript.whisperx[27].text 對貨物稅的部分委員大家都是沒有意見我想在牌照稅的部分行政院的版本因為對於使用電動車輛的使用牌照稅的免徵部分是到114年12月31號
transcript.whisperx[28].start 2209.032
transcript.whisperx[28].end 2234.351
transcript.whisperx[28].text 那因此院板希望能夠再能夠延長5年到119年的12月31號那主要第一個也就是因為淨零碳排的一個願景以及以及我們考量對電動車的產業的一個支持讓他們希望能夠往這個方向來發展所以院板就提出這樣的一個的免徵使用牌照稅延長到119年12月31號這是以上的說簡單的說明好
transcript.whisperx[29].start 2238.464
transcript.whisperx[29].end 2242.605
transcript.whisperx[29].text 那各位有沒有 還有沒有要補充針對這個延長這個案子 有沒有延長到119人 沒有問題啦這條都沒有問題來 18位沒有 延長沒有問題 大家都贊成現在是外界 我們是有聽到聲音啦這個聲音一定要反映這個稅是地方稅吧
transcript.whisperx[30].start 2263.263
transcript.whisperx[30].end 2269.785
transcript.whisperx[30].text 對啊那我們現在撿這個這個地方政府在買單啦所以這個這個要去處理處理啊這個錢
transcript.whisperx[31].start 2278.311
transcript.whisperx[31].end 2294.433
transcript.whisperx[31].text 不是啊 你可以不我的意思就是說不必得嘛就是給他這樣子然後我們中央要補嘛除非你這個這個採訪法這個修過以後就可以那就不要得啊
transcript.whisperx[32].start 2296.707
transcript.whisperx[32].end 2322.929
transcript.whisperx[32].text 那個我想這部分是針對我們有那個稅損多少錢那個寶哥我講一下好了寶哥我講一下等一下我先跟各位委員報告好了就是有關於這個甄列第三項就剛才寶哥講的就是前項還有總共有李燕秀委員 葉英志委員習新委員 陳昭明委員洪孟凱委員等均提案延至119年12月31號沒有意見但是甄列第三項
transcript.whisperx[33].start 2324.47
transcript.whisperx[33].end 2351.26
transcript.whisperx[33].text 第三項就是前項是中華民國115年1月1日起因貶真實用牌照稅造成直轄縣市政府減少之稅收應由中央能源主管機關補足之這個我想我們在相關宣達的時候也有很多委員做這方面的一個建議所以這第三項這個我們可能今天大家要表達一下意見來 請郭文先舉手郭文先舉手
transcript.whisperx[34].start 2354.361
transcript.whisperx[34].end 2377.931
transcript.whisperx[34].text 吳秉堯先生好請秉瑞先詢問 詢問 請問一下在延長之前的這個所謂的之前也有減免嘛現在是要延長五年嘛那之前的減免那個稅有補嗎沒有補那之前的每一年大概是多少錢一年啦你不要給我一次算五年啦一年的
transcript.whisperx[35].start 2383.811
transcript.whisperx[35].end 2393.001
transcript.whisperx[35].text 現在除以4的話90幾除以4
transcript.whisperx[36].start 2402.452
transcript.whisperx[36].end 2414.988
transcript.whisperx[36].text 目前全國現在是22縣市都停徵過去4年合計90多億大概平均一年大概22到23億左右平均一年我先講我的意見
transcript.whisperx[37].start 2418.325
transcript.whisperx[37].end 2444.36
transcript.whisperx[37].text 地方政府得 停徵所謂得就是可以跟不可都可以 可免徵也可以不免徵但是這樣子因為這是一個延長的法案之前已經免徵了你說現在有地方政府我跟妳講說我現在不免徵嗎不會有這樣的地方政府嗎哪有這樣的地方政府但是問題是賴委員我們都在財政委會這麼久你那個財政紀律
transcript.whisperx[38].start 2447.362
transcript.whisperx[38].end 2470.044
transcript.whisperx[38].text 那個法你以前修的時候你非常重視這個法而且你說如果造成的稅損 財源從哪裡來那個要講清楚現在這個財政收支劃分法如果照現在行政院的版本也好照已經修過的版本也好無論如何地方政府都多很多錢
transcript.whisperx[39].start 2471.263
transcript.whisperx[39].end 2491.193
transcript.whisperx[39].text 而且最重要的是地方政府這些年來已經連續多少年他的整體的財政支出都是plus就都有剩餘當然他過去有負債現在還沒有完全填補完但是最近這幾年每年都是剩餘結果現在變成地方請客然後中央買單
transcript.whisperx[40].start 2492.776
transcript.whisperx[40].end 2503.33
transcript.whisperx[40].text 那這個既然我能請客我就一定請客啊假設我們是地方的民意代表我們也是地方的首長的話我一定請客我不可能別的縣市請客我不請客啊
transcript.whisperx[41].start 2504.979
transcript.whisperx[41].end 2527.2
transcript.whisperx[41].text 但是卻找中央買單中央的財政已經相對非常的困難了所以這個是不是再考量一下其實也不用一年二十幾億每一個縣市就算我新北市政府四百萬人口假設你都照人數平均我覺得幾乎是六分之一的台灣的人口二十幾億我也還有三億 四億而已 真的
transcript.whisperx[42].start 2528.122
transcript.whisperx[42].end 2537.138
transcript.whisperx[42].text 財政收支法文法已經拿去那麼多了真的有必要再去計較這個一年三億四億嗎我是覺得這個大家互相一下啦不要
transcript.whisperx[43].start 2538.854
transcript.whisperx[43].end 2566.38
transcript.whisperx[43].text 贏是你們的贏但是贏到貴賓贏到每個農民都要去賠好 謝謝吳秉仁委員郭文貴謝謝主席我延續吳秉仁委員所有說法地方政府接下來裁員會廣增而且是屬於中央下放的一些被動收入那也就是自主的運用的空間比以往非常的多然後現在的稅損的部分要由中央負擔這確實是需要商議的一個地方
transcript.whisperx[44].start 2566.98
transcript.whisperx[44].end 2590.968
transcript.whisperx[44].text 不過就目前為止我所拿到的資料當中以新北市為例就剛剛吳秉偉講新北市的部分他預估的這個稅損的部分5年的估計居然是高達38億這個我覺得財政部要好好的審視一番為什麼因為過往的14年當中新北市的這個稅收的部分有關於這個電動車這個部分不過是11.7億
transcript.whisperx[45].start 2595.129
transcript.whisperx[45].end 2616.642
transcript.whisperx[45].text 那為什麼未來的五年會高達38億呢我不曉得這個數字有沒有什麼問題財政部所以主要好好審視一番不能隨便說地方政府說的算這是第一第二部分如果真的需要中央的部分的話我個人建議比較是屬於用公務基金的部分來動用而不是用公務預算來動用
transcript.whisperx[46].start 2617.683
transcript.whisperx[46].end 2637.071
transcript.whisperx[46].text 空空基金的部分的動用也會比較方便一些些因為空空基金基本上跟中央跟地方其實它有一個連帶的共同性所以這是我個人的建議 以上好 謝謝郭國文委員還有要先舉手先請廖先祥委員然後接下來李坤臣委員
transcript.whisperx[47].start 2638.459
transcript.whisperx[47].end 2654.559
transcript.whisperx[47].text 好 謝謝因為我自己本身是電動車主先表達一下電動車主的一個心聲因為自己本身是電動車主所以我也不會說希望政府延長五年這件事情因為我本身我會是受惠者如果說政府真的願意延長的話當然就代替所有的電動車主感謝其實電動車主我認為所有的電動車主他
transcript.whisperx[48].start 2657.743
transcript.whisperx[48].end 2670.688
transcript.whisperx[48].text 並不是特別在意幾年幾年這件事情而是在意課稅級距這件事情因為我們的電動車的一個課稅使用排到稅的如果以車價來看的話可能一台100萬
transcript.whisperx[49].start 2673.245
transcript.whisperx[49].end 2675.746
transcript.whisperx[49].text 電動車他需要繳的使用牌照稅大概是兩三百萬的油車的一個使用牌照稅所以說很多的電動車不是不願意繳稅而是怕這個稅率它是一個不合理的所以說延長這部分當然就尊重
transcript.whisperx[50].start 2688.471
transcript.whisperx[50].end 2707.404
transcript.whisperx[50].text 大家的一個共識只是說在延長的過程中我希望財政部在後續能夠盡快的去把電動車的一個使用牌照稅課稅的級距這件事情去跟電動車主去做一些溝通去協調我相信只要是一個合理的稅收課稅級距那所有的電動車主都會很願意的來繳納稅金以上 謝謝好 謝謝
transcript.whisperx[51].start 2714.517
transcript.whisperx[51].end 2718.084
transcript.whisperx[51].text 還有哪位委員要發言沒有以坤城 坤城來 坤城謝謝主席
transcript.whisperx[52].start 2720.745
transcript.whisperx[52].end 2746.804
transcript.whisperx[52].text 因為這個是延續性的一個提案那我們就是對於延長到129年大家都沒有意見那也表示說這個之前這個地方政府對於牌照稅應該都是他們都沒有收對不對都沒有收那所以說如果把這一個一個延續性的這一個法案再把它延長到129年那基本上對於地方政府來講那也是延續過去的政策
transcript.whisperx[53].start 2747.624
transcript.whisperx[53].end 2770.883
transcript.whisperx[53].text 那過去都沒有收他不可能因為這樣子那就變成去收也不可能那過去沒有收也沒有對這個財政有造成什麼樣的一個影響那你突然就是說那因為這個好像是一個新的政策然後實施下去之後對於地方政府財政會有影響這不可能因為這次都是一個原系性的所以這是第一個那第二個就是說那如果這樣子的話既然是延續性的那也不用去
transcript.whisperx[54].start 2771.704
transcript.whisperx[54].end 2793.558
transcript.whisperx[54].text 去期待說那突然因為這個政策下去之後電動車大家就突然都買電動車了然後為了要省牌照稅都買電動車也不可能所以基本上對於這一個牌照稅來講稅損的這一個就算地方政府來講沒有收到這些錢也是跟之前應該是會差不多的那一樣就財政紀律法你要掃到這些錢你的錢是從哪裡來
transcript.whisperx[55].start 2794.739
transcript.whisperx[55].end 2813.167
transcript.whisperx[55].text 所以其實我看這一個我們召委的就沒有提到一樣就是得對不對得得得得這個地方可以得免收我是希望說是不是我們就按照財政部的提案還是授權由地方政府來做處理
transcript.whisperx[56].start 2817.337
transcript.whisperx[56].end 2834.423
transcript.whisperx[56].text 好 謝謝謝謝主席剛剛共領幾位委員的高見我覺得都很有道理首先對於財政紀律這個德你要實施德免徵那麼它的相對的稅損要自行來承擔這個是一個紀律的表現這個完全支持
transcript.whisperx[57].start 2835.223
transcript.whisperx[57].end 2841.249
transcript.whisperx[57].text 既然大家對於得這個部分認為既然過去地方政府得免徵的時候他也承受了這樣的稅損也還願意繼續來實施我們尊重各地方政府的權責但是我覺得剛剛從幾個修正動議當中還是聽到了很有意義的積極性的意見
transcript.whisperx[58].start 2855.501
transcript.whisperx[58].end 2864.807
transcript.whisperx[58].text 包括剛剛向廖委員所提出的其實我們知道電動車免徵牌照稅它的目的是在目前燃油車佔比
transcript.whisperx[59].start 2866.479
transcript.whisperx[59].end 2886.461
transcript.whisperx[59].text 很高的情況之下為了降低空污的排放減少環境的成本所以政府透過稅收的減免來鼓勵車主改用電動車這個趨勢我們看一下推動幾年來到底電動車的占比有沒有提高這個其實經濟部待會可以稍微回應一下
transcript.whisperx[60].start 2887.122
transcript.whisperx[60].end 2906.997
transcript.whisperx[60].text 如果說使用牌照稅的免徵可以提高車主採用對環境比較友善的電動車那這樣的政策我相信部分中央地方都會予以支持但是呢在目前的情況之下我們看到如果說因為免徵其實在牌照稅地方政府認為他可以承擔是因為
transcript.whisperx[61].start 2908.138
transcript.whisperx[61].end 2926.163
transcript.whisperx[61].text 使用的車主很少比如說以屏東縣來講我們的汽車使用牌照稅是地方的稅收的重要來源但是為什麼過去對於電動車免徵牌照稅好像還可以接受呢是因為實際上在我們非都的地方使用電動車的民眾
transcript.whisperx[62].start 2927.063
transcript.whisperx[62].end 2953.319
transcript.whisperx[62].text 由于一些设施比如说充电桩或其他的周边服务设施还不是很普及所以一般的车主在非度地区采用意愿较低所以实际上造成的税损也相对有限但是诚如刚刚廖委员所说的如果未来的电动车越来越普及在各地方政府的使用牌照税的占比越来越高那这个税损就会产生一个压力所以合理的
transcript.whisperx[63].start 2953.939
transcript.whisperx[63].end 2974.117
transcript.whisperx[63].text 合理的來說使用電動車它除了降低空污之外它仍然有其他的外部環境成本電動車除了沒有空污之外還是有其他使用道路造成地方政府它必須維修道路各項的一個負荷所以我非常肯定剛剛廖委員的說法電動車車主他願意採用電動車有他的考量就算是
transcript.whisperx[64].start 2974.938
transcript.whisperx[64].end 2989.323
transcript.whisperx[64].text 停止免徵牌照稅他們還是會繼續使用但是認為牌照稅的急遽應該合理的反映在車主的負擔上所以這一點我是非常的肯定跟支持也是覺得希望說未來我們交通部這個
transcript.whisperx[65].start 2991.504
transcript.whisperx[65].end 3015.332
transcript.whisperx[65].text 這個還有財政部對於使用燃油車跟電動車他在使用牌照稅上的級距一定要納入檢討來調整但是在還沒有調整之前看起來因為電動車的普及率還不是很高所以這樣的一個得減免 免徵的優惠措施還是可以支持但是我們覺得既然支持而且過去的稅準也有限
transcript.whisperx[66].start 3016.092
transcript.whisperx[66].end 3028.686
transcript.whisperx[66].text 多數的地方政府也能承受所以我們覺得還是把那個德制保留不過另外一個第二個我發現我們主席的提案修正動議有提到說加入了純電型就是油電車
transcript.whisperx[67].start 3031.189
transcript.whisperx[67].end 3055.356
transcript.whisperx[67].text 那油電車我就覺得很有意義因為在從燃油到純電之間油電是一個非常過渡期的很多人的選擇那如果這個選項可以予以政策上的納入支持也有助於我們未來純電車的普及率的推動所以這一點也要再請我們經濟部就這個部分來表達意見我支持廖委員所說的縱使未來停止免增
transcript.whisperx[68].start 3056.016
transcript.whisperx[68].end 3076.637
transcript.whisperx[68].text 使用牌照税的这样的优惠对电动车主来讲还是要去研议将它的极具与合理化不要跟燃油车有太大的差别第二个我支持我们主席的修正动议评估将油电车也考虑如果得免征使用牌照税那么油电车是不是也可以纳入的一个使用对象以上
transcript.whisperx[69].start 3077.097
transcript.whisperx[69].end 3092.413
transcript.whisperx[69].text 好 謝謝鍾嘉賓委員我也提一下我的一個修正動力我這個修正動力針對油電混合車我們鼓勵這個如果說它的行駛電動驅動方式行駛80公里以上者
transcript.whisperx[70].start 3093.294
transcript.whisperx[70].end 3115.879
transcript.whisperx[70].text 它也應該歸屬於零排放的車輛所以在國外的一個認定上面也把這種插電式的複合動力車也把它視為免徵使用牌照稅的一個車輛範圍所以到底我們要不要納入我個人有提一個修正案也謝謝宗家兵委員也認同這樣子的一個修法那現在請賴司保委員
transcript.whisperx[71].start 3119.104
transcript.whisperx[71].end 3135.273
transcript.whisperx[71].text 謝謝 謝謝主席我想今天我是覺得先把結果講一下我們今天一定要送出去了否則的話他沒有辦法在那個所以就大家看怎麼樣要這些的修正東西都出去還是我們就把它做一個結論
transcript.whisperx[72].start 3138.155
transcript.whisperx[72].end 3158.69
transcript.whisperx[72].text 那個稅的來源要不要中央我覺得這一部分來講的話我倒並沒有堅持的這個如果就是說我們過去怎麼做未來就再繼續演用這樣的精神基本上我是可以接受的但是主席講的這個油電的混合應該納入因為油電混合的這一部分這個經濟部要表示一點意見
transcript.whisperx[73].start 3164.173
transcript.whisperx[73].end 3170.035
transcript.whisperx[73].text 來 請經濟部還有等一下講完葉元之委員講完再請經濟部表示意見好不好好寶根還有要講嗎沒有了請葉元之委員我想因為為了達到淨零碳排所以大家鼓勵電動車這個方向應該沒有問題是政策的方向因為淨零碳排這是屬於中央政策所以做這個事情對應該是中央提出來的
transcript.whisperx[74].start 3192.168
transcript.whisperx[74].end 3209.383
transcript.whisperx[74].text 那中央提出來這樣的政策然後地方買單我覺得地方還會有疑慮以新北市來講的話剛剛從嘉賓委員有提到匯損大概38億那是因為現在一年應收本來可以收但是沒有收大概都5億左右然後如果以每年20%成長的話
transcript.whisperx[75].start 3211.565
transcript.whisperx[75].end 3229.601
transcript.whisperx[75].text 這樣加上去5億 6億 7億 8億這樣加上去的話大概是38億所以這也不是一筆小錢啦所以我覺得還是必須要把地方政府裁員這個部分把它考慮進去啦 謝謝好 謝謝燕子委員那現在請經濟部針對修正動力那個油電車這部分要不要納入請再表示意見好 跟主席還有各位委員說明經濟部這邊針對油電車的部分做個簡單的回應
transcript.whisperx[76].start 3247.133
transcript.whisperx[76].end 3268.593
transcript.whisperx[76].text 經濟部針對油電車的部分簡單做個回應第一個交通部主政的淨零轉型12項關鍵策略裡面目前針對運具電動化還有無碳化這一個項目是以電動車為主要的項目目前並沒有涵蓋油電車在過去訂定這樣子的政策之前
transcript.whisperx[77].start 3269.233
transcript.whisperx[77].end 3289.339
transcript.whisperx[77].text 最主要的原因第一個是目前國外的補助趨勢基本上就是朝向電動車的補助油電車的補助是慢慢在退場當中第二個是針對國內的產業的部分國內目前的整車業者是沒有投入所謂80公里以上的國產插電式油電混合車
transcript.whisperx[78].start 3291.94
transcript.whisperx[78].end 3301.65
transcript.whisperx[78].text 所以這個部分如果是鼓勵下去的話基本上都是國外的車輛的受惠目前是沒有國內生產的業者以上做補充報告
transcript.whisperx[79].start 3312.351
transcript.whisperx[79].end 3328.29
transcript.whisperx[79].text 副署長 交通部的數據截至今年9月那種車很少大概僅佔我們新車銷售率的不到就0.5都不到 0.43平均每個縣市大概我們算一下大概50台而已
transcript.whisperx[80].start 3329.071
transcript.whisperx[80].end 3348.48
transcript.whisperx[80].text 所以這不會造成明顯的各縣市的一個稅損所以這部分我是認為因為我們認為說這個油電混合車在現在來講的話也很多的這個車主就是鼓勵他開因為這個對於我們的節能排灘淨營排灘還是有幫助的而且他造成的稅損不多
transcript.whisperx[81].start 3349.48
transcript.whisperx[81].end 3372.269
transcript.whisperx[81].text 所以我是希望經濟部能夠考量就是在現在沒有辦法完成這種純電車的一個狀況之下稅損也不是沒有那麼大是不是可以考量請 吳秉仁委員我如果數據真的是這麼少的話而且要不要給那減免也是由地方政府決定那只要不要補稅
transcript.whisperx[82].start 3373.949
transcript.whisperx[82].end 3399.639
transcript.whisperx[82].text 這個我們當然支持因為地方政府他有決定的權利那他決定了假設我是新北市長我說退一萬部獎我假設我是新北市長我一年為了我新北市撿100台200台的車輛的牌照稅然後可以達到這個目的我不會因為這樣斤斤計較說叫中央政府給我補一兩百萬的這個稅新北市政府現在今年的預算是2500億
transcript.whisperx[83].start 3402.336
transcript.whisperx[83].end 3426.524
transcript.whisperx[83].text 所以我是覺得說是不是如果贊成昭緯跟賴四胞委員黃珊珊委員的提案但是不要斤斤計較說稅要哪裡補因為已經連續幾年新北市政府的財政最後的結算都是Plus這個是有數據可查的好不好好 謝謝經理部賴市長好 謝謝朱惠文的指導
transcript.whisperx[84].start 3427.364
transcript.whisperx[84].end 3448.132
transcript.whisperx[84].text 那針對推動低碳化特別是在因應氣候變遷那電動車事實上它有助於改善空污或是減碳的這個部分那過去如何實施那這次院版也提出來的剛剛有提到的說是油電的這個部分當時訂定這個德就是依照地方政府
transcript.whisperx[85].start 3448.812
transcript.whisperx[85].end 3470.431
transcript.whisperx[85].text 各地的這個情況不一樣因為有的縣市它城鄉差距是相當的龐大的那必須要有配套措施在這邊也要跟組委員報告事實上依照氣候變遷因應辦法各地方政府他就要提出他氣候變遷的推動方案那若是大家地方政府認為他這個是
transcript.whisperx[86].start 3472.273
transcript.whisperx[86].end 3490.231
transcript.whisperx[86].text 一致的目標全世界認為也是應該如此的話他應該就會納進去這是第一點的補充第二點的補充事實上我的委員提案的版本由中央能源主管機關來指引坦白跟主委委員講我們能源署它的業務費
transcript.whisperx[87].start 3491.943
transcript.whisperx[87].end 3509.509
transcript.whisperx[87].text 它只有不到2億事實上根本沒有辦法來支付這些龐大的這些地方政府得的這個所謂的稅損的部分這個是實際上是有困難的好 次長了解那現在請宗嘉病院委員再補充好 謝謝
transcript.whisperx[88].start 3510.99
transcript.whisperx[88].end 3529.129
transcript.whisperx[88].text 主席在場各位委員先進我們列協機關聽起來多數的意見是傾向說維持原來的德把時間延長但是考慮到油電車未來也具有跟電動車一樣值得我們免徵牌照稅的這樣的一個鼓勵
transcript.whisperx[89].start 3530.03
transcript.whisperx[89].end 3542.638
transcript.whisperx[89].text 是不是我看到主席的修正動議容我表達一點再修正的看法因為主席目前的條文它是在第二項的第三行在完全以電能為動力之機動車輛後面有一個級
transcript.whisperx[90].start 3548.002
transcript.whisperx[90].end 3572.138
transcript.whisperx[90].text 這樣的話會造成地方政府他對於純電車給免徵好像就連帶著對於油電車也得給免徵因為油電車跟電動車在各縣市政府的分配比例不太一樣 數量不太一樣是不是說把這樣的一個好意放在把給予我國能源效率飆升的那一整段到最後的油電混合動力車輛那一整段
transcript.whisperx[91].start 3572.939
transcript.whisperx[91].end 3587.798
transcript.whisperx[91].text 放到最後的第三項第三項說我國能源效率標示中純電行程測試值達80公里以上之油電混合車輛得比照辦理
transcript.whisperx[92].start 3588.339
transcript.whisperx[92].end 3603.082
transcript.whisperx[92].text 那這樣的話呢放在第三項的時候呢讓地方政府大概判斷如果延續著既有的對電動車的免徵牌照稅的優惠他就按照我們目前修法的方式他可以持續的進行但是第三項他可以評估他
transcript.whisperx[93].start 3604.584
transcript.whisperx[93].end 3628.204
transcript.whisperx[93].text 縣市轄內的油電車的數量它要不要給它比照那給地方這種一個衡量的餘地那這樣我們可以看得出來油電車有沒有得到這個鼓勵有沒有改變這也比較好就是兩項不要並列我知道 以上好 謝謝宗教兵委員各位委員我想我們這個第五條大家也充分討論我想我就做一個結論好不好那第五條是 我們就
transcript.whisperx[94].start 3633.539
transcript.whisperx[94].end 3651.169
transcript.whisperx[94].text 所有的46位委員所提的一個46案單列的46案第5條那個部分還有我的一個修正動議拉里斯巴委員的第三項的修正動議這部分我們就是全數保留送出委員會去請對
transcript.whisperx[95].start 3661.175
transcript.whisperx[95].end 3666.673
transcript.whisperx[95].text 那個就請那個我們財政部這邊你們到時候就提出一個
transcript.whisperx[96].start 3668.072
transcript.whisperx[96].end 3678.599
transcript.whisperx[96].text 好不好 大家有沒有意見都放在第三項 因為文字都一樣啦剛剛各委員的意見我們都尊重第一個剛剛各委員提到就是那個有關那個稅率的級距這個部分我們想我們再來我們來檢討那第二個就是我們我們召委所提到的就是對於油電混合的所以我想這涉及到經濟部剛剛經濟部也講得很清楚他的目標是以全電動電能為動力的車輛
transcript.whisperx[97].start 3694.549
transcript.whisperx[97].end 3698.011
transcript.whisperx[97].text 要鼓勵這個油電混合是一個過渡型的一個做另外就是國內也整車業者也沒有投入這樣的一個插電式的複合動力車的開發跟生產國內的車輛沒有這樣放進去是不是要再回頭鼓勵他們做部長我算你的意思了你不用講太多了我想我們這樣決定好不好是
transcript.whisperx[98].start 3721.344
transcript.whisperx[98].end 3742.312
transcript.whisperx[98].text 這個部分因為大家還有意見部會還有意見啦所以這部分我們還是送出去我們送協商好不好還是送出去啦協商的時候部會你再提出你的這個修正的條文看怎麼樣 包含剛剛中交兵委員這個我覺得都可以把它納入你們未來在條文修正在協商的時候都可以提出來好不好
transcript.whisperx[99].start 3743.5
transcript.whisperx[99].end 3759.359
transcript.whisperx[99].text 來 我支持主席的一個結論畢竟就趕快給他送出去然後因為這裡面還有各縣市的意見也要進來也對油電的事實上油電也沒那麼緊張全台灣只有一千多部而已也不是很嚴重
transcript.whisperx[100].start 3760.339
transcript.whisperx[100].end 3780.075
transcript.whisperx[100].text 一千多而已啊 怎麼沒有一千多而已啊一千一百多台而已啊一千一百多台而已啦就這麼多而已啦到今年九月為止80公里 還加一個80公里的啦就是因為數量少會變成說是不是會特定對象那個我們請部會有沒有請部會跟經濟部
transcript.whisperx[101].start 3787.1
transcript.whisperx[101].end 3806.579
transcript.whisperx[101].text 不僅僅經濟部還有地方政府也要有意見下次協商的時候我們拟據一個比較具體可行的條文好不好所以我這個數量到底有多少這個數量到底有多少來 坤仔因為這討論很久了我們就請財政部 會同經濟部
transcript.whisperx[102].start 3808.889
transcript.whisperx[102].end 3830.07
transcript.whisperx[102].text 還有環境部我們到時候送協商的時候拟據一個比較可行的條文但是也要當心說是不是因為這個數量其實不多會變成說是特定的一些進口車輛這個要注意所以我請財政部你們去延上一下因為油電其實沒有你們講得那麼嚴重
transcript.whisperx[103].start 3833.107
transcript.whisperx[103].end 3845.112
transcript.whisperx[103].text 對 所以你們對委員的意見我們送協商的時候我還是希望你們拟據一個可以的條文 好不好好 第五條我們就全案保留送協商OK 好好 現在我們開始討論第七條
transcript.whisperx[104].start 3852.206
transcript.whisperx[104].end 3875.918
transcript.whisperx[104].text 第七條有台灣民眾黨團的提案還有牛委員的廖偉祥委員鍾嘉斌委員還有我本席的先請民眾黨團還是來 請黃珊珊委員謝謝主席我想第七條的部分我們主要還是提出了有關身心障礙長照的部分
transcript.whisperx[105].start 3877.202
transcript.whisperx[105].end 3893.223
transcript.whisperx[105].text 那剛剛講的延長電動車我想大家都有共識只是裁員怎麼來但是接下來我們是民眾黨的提案是針對身心障礙目前是免稅但是其實國內有非常多的長照家庭他其實也有很多長照身心失能的長輩
transcript.whisperx[106].start 3894.364
transcript.whisperx[106].end 3911.709
transcript.whisperx[106].text 那這些它的確是有需要因為現在從各地方政府的狀況也有民眾反映包括各地的縣市政府他們很多的民眾抱怨長照交通車的數量不夠甚至提前一個禮拜預約每個禮拜一就要準時八點鐘打電話
transcript.whisperx[107].start 3913.79
transcript.whisperx[107].end 3927.125
transcript.whisperx[107].text 那縣市政府也很為難像嘉義市他就說經費不足找不到司機所以沒有辦法增加班次所以類似這樣子的長照需求他因為地方政府的確有在
transcript.whisperx[108].start 3928.115
transcript.whisperx[108].end 3952.292
transcript.whisperx[108].text 努力但是可能在長照相關的出門運送的部分的確是有他的量能不足的問題所以我們還是希望提出有關家裡有長照失能的人他也有可能在他的排稻稅上有接送他的這些親屬的車輛可以比照身心障礙者的相關的免稅規定
transcript.whisperx[109].start 3953.332
transcript.whisperx[109].end 3980.095
transcript.whisperx[109].text 進行相關的免稅當然我們知道這是地方稅所以應該會影響地方的財源所以整體來說應該還是在衛福部長照3.0明年就要上路那接下來的3.0能不能夠支應更多的所謂的運送量能社區式的交通接送或者是說就醫的交通接送如果這兩個增加的話我想這個稅金的部分就可以cover掉也就是說由中央來
transcript.whisperx[110].start 3980.987
transcript.whisperx[110].end 3998.494
transcript.whisperx[110].text Cover這些相關免稅的部分那我們認為說社區的照顧尤其長照杯葛不斷的上演那我們怎麼樣增加長照的家庭他的負擔這是民眾黨提案的目的但我們還是希望說也是希望能夠幫地方政府Cover掉他的所謂的稅損那我們這是一個初步的
transcript.whisperx[111].start 4002.014
transcript.whisperx[111].end 4027.871
transcript.whisperx[111].text 初步的意見但是相關的細節我想今天大家我們提出來那各單位他們也都會有不同的意見那我們至少要做到讓衛福部跟財政部必須要針對強化富康巴士跟長照交通車的量能如何減輕長照家庭接送負擔整體的計畫要提出他們具體完善的方式那這個部分台灣民眾黨希望能夠在今天的會議裡面有一個至少
transcript.whisperx[112].start 4028.598
transcript.whisperx[112].end 4035.409
transcript.whisperx[112].text 再做一個附帶決議還有讓他們能夠在這上面能夠表達財政部跟衛福部的立場謝謝好 那個鍾嘉斌委員
transcript.whisperx[113].start 4039.102
transcript.whisperx[113].end 4067.56
transcript.whisperx[113].text 其實這一點我們看很多人提案精神都是相同的就是過去原條文當中在第八款它對於身心障礙手冊或證明那麼這個部分我們做了很多的一些擴充的補充的一些規定我的提案內容是這樣子我們原條文它這裡是說必須是他是身心障礙者那麼
transcript.whisperx[114].start 4068.3
transcript.whisperx[114].end 4076.596
transcript.whisperx[114].text 他是他零有駕駛執照的他的車輛一人為限那如果是無駕駛執照的話那麼他的配偶或
transcript.whisperx[115].start 4077.523
transcript.whisperx[115].end 4099.939
transcript.whisperx[115].text 同一戶籍的二親等以內也可以來試用但事實上我們要了解現在的少子化其實它這裡限定的二親等以內其實就是子女或者是尊親屬那尊親屬不太可能比你更老的來幫你開這個車尤其是長輩如果是65歲的長輩所以我這邊的修正意見是說如果是身心障礙而且是65歲以上
transcript.whisperx[116].start 4101.38
transcript.whisperx[116].end 4117.333
transcript.whisperx[116].text 他的二親等之內已經沒有尊親屬可以來幫他代為駕駛他事實上需要靠他的卑親屬但是卑親屬如果他是沒有子女的那可能就會由兄弟姊妹的子女也就是他的這個生侄輩的來協助他
transcript.whisperx[117].start 4117.873
transcript.whisperx[117].end 4139.76
transcript.whisperx[117].text 那这时候二清等的限制呢就会局限到这些协助者那刚刚黄委员说的很好因为各地方政府的这个富康巴士的供应啊还没有办法来满足每一个身障者的需求如果身障者本身没有驾照那富康巴士的数量又不足其实这些二清等以外有同一户籍的
transcript.whisperx[118].start 4141.319
transcript.whisperx[118].end 4160.727
transcript.whisperx[118].text 親屬 被親屬他們是很好的協助政府來分攤這些公共資源的也就是說如果這些他的家人願意幫忙反而我們在復康巴士有限的情況之下還是可以滿足這些無駕照的生長者他行的需求所以我是原則上我是支持黃山委員的意見他是把它放到長照
transcript.whisperx[119].start 4161.727
transcript.whisperx[119].end 4187.442
transcript.whisperx[119].text 那我這裡是就原條文身心障礙者 無駕照者那麼同一戶籍內不以二親等為限那這個至於要怎麼樣去認定我們希望是由主管機關來認定不要在親等上把它限得那麼死我再強調一次如果是65歲以上的二親等內除了尊親屬之外如果沒有子女 沒有卑親屬的話他可能要看到兄弟姊妹的子女來協助照顧他
transcript.whisperx[120].start 4188.787
transcript.whisperx[120].end 4210.156
transcript.whisperx[120].text 那這個情況之下呢我們可能是希望說能夠將這個輕等的限制放寬後由主管機關去定之保留一個彈性 以上說明好 謝謝崇嘉賓委員請吳秉榮委員先不要誤會輕等二輕等以內就是親兄弟姐妹也可以不一定是背親屬不一定是兄弟的子女現在的駕照是合法70歲以後才要多一些檢查嘛
transcript.whisperx[121].start 4217.26
transcript.whisperx[121].end 4245.418
transcript.whisperx[121].text 所以假設一個70歲的身障者他需要協助他的弟弟 他的妹妹如果跟他同戶籍也是可以用現在一個最大的問題就是去認定的量能問題如果你擴大 那美其名照顧但是你要小心 我們台灣是這樣子我們以前常常被媒體批評說要開Benz去領社會救濟
transcript.whisperx[122].start 4247.125
transcript.whisperx[122].end 4261.407
transcript.whisperx[122].text 那這個你如果在這個地方沒有辦法有這樣量能實質查核或是要互集放在一起事實上我住在汐止我可能那個身障者在新莊我可能我這個就可以這樣減免了
transcript.whisperx[123].start 4262.74
transcript.whisperx[123].end 4291.423
transcript.whisperx[123].text 當然這個弊端是可以透過訪視 調查實質認定但是問題是這樣你要增加多少公務人員增加多少能力地方政府有這樣負擔的能力嗎中央政府的國稅局有這樣的能力嗎我們公務員非常你要了解說實話要積增的成本是非常的高我個人是認為是這樣子原有的條文是要協助
transcript.whisperx[124].start 4293.178
transcript.whisperx[124].end 4319.693
transcript.whisperx[124].text 這個身障者那戶籍相同然後原來的條件我覺得是合理你如果一放寬那真的是不得了因為台灣的居住遷徙是自由的然後民法的規定住所跟戶籍所在地那是可以任意變成我叫到戶政機關去做一個登記就可以了所以有可能是如果你這個門一開
transcript.whisperx[125].start 4321.701
transcript.whisperx[125].end 4350.716
transcript.whisperx[125].text 那會增加非常多人那問題是我們又沒有實質查訪的能力那怎麼辦呢所以這部分是不是請財政部跟這個衛福部來談一下你有這個量能或是你有這個能力去做這樣的事情我想先聽各位委員的意見現在請賴會員委員好 謝謝主席我想再重新檢討就是車輛的使用別這一部分第七條的第一項我有一個建議就是說
transcript.whisperx[126].start 4351.556
transcript.whisperx[126].end 4367.314
transcript.whisperx[126].text 我認為我們沒有充分反映新型態車輛的使用使用的一個方式那我建議就是在修正的方向是不是應該新增就是共享車輛還是說平台的硬具像Uber這些比較新式的
transcript.whisperx[127].start 4368.815
transcript.whisperx[127].end 4393.72
transcript.whisperx[127].text 就是这一些平台的硬具我特别要强调的就是说其实台湾很多的偏乡尤其老人化我们长照用了很多的一个地方政府用了很多的一个投资其实是在偏乡那我们是不是应该把农用的那个GG还有农村小型车辆的一个分类就像农村常用的那个ATV那种
transcript.whisperx[128].start 4394.44
transcript.whisperx[128].end 4416.74
transcript.whisperx[128].text 那個農村那個農業搬運車那他使用的方式其實是跟一般那個一般道路的那個車子是不一樣的可是他沒有被明確的納管那我是建議就是說比照農機的一個免稅低稅那把它分類把它分類的很清楚以上是我的一個建議好 謝謝賴會員委員
transcript.whisperx[129].start 4419.322
transcript.whisperx[129].end 4447.427
transcript.whisperx[129].text 请李坤 陈昭伟谢谢主席其实我们当然都希望要来照顾身心障碍者可是我刚才听就是说第一个我们是认定的问题就是说认定我们需要增加多少的一些能力来认定就是说你有可能是你没有跟他住在一起你可能也可能不是实际的照顾者这个都会发生问题所以
transcript.whisperx[130].start 4448.107
transcript.whisperx[130].end 4462.497
transcript.whisperx[130].text 這一個財政部才會說是用同一戶籍第二個就是說其實這個是需要衛福部來做協助的就是各地方政府的這一個社會局或是說衛生局要怎麼樣來做協助我覺得這是相當重要的因為
transcript.whisperx[131].start 4464.858
transcript.whisperx[131].end 4487.833
transcript.whisperx[131].text 這個會更貼近就是說使用者他的需求因為相近各個縣市政府他們的社會局或是衛生局都有相關的資料對於這一些身心障礙車輛的派遣我想說未來地方政府應該是可以做得更多我是建議就是說是不是還是保留這一個原來的條文以上說明請務必委員再補充
transcript.whisperx[132].start 4493.554
transcript.whisperx[132].end 4514.702
transcript.whisperx[132].text 我用很簡短的補充就是現在的身心障礙者我舉個例子我如果開一個比較生病的開一個比較重的刀我在復原期間其實我也可以申請身心障礙所以你如果這樣子的話那個範疇會過得很大所以這個要提醒一下
transcript.whisperx[133].start 4516.755
transcript.whisperx[133].end 4542.156
transcript.whisperx[133].text 因為我本席 我自己也有一個提案就一個修正動力我針對無照駕駛的這些身心障礙者提供原本的條文講二親等以內的親屬要同一戶籍我認為說因為現在同一戶籍很多的子女少子化的這種社會如果你把他限縮一定要同一戶籍有些子女他比如說就剛才講的
transcript.whisperx[134].start 4543.197
transcript.whisperx[134].end 4558.686
transcript.whisperx[134].text 他父母住在假設新莊他又到那個比如中永和買房子但是他新買房子他一定要設在他買的房子裡面但是他每天都會去接送他的孩子接送他的父母親所以這種情況一定要
transcript.whisperx[135].start 4560.507
transcript.whisperx[135].end 4576.444
transcript.whisperx[135].text 限制說一定要同意戶籍可能跟現在的社會的這個實際的情況不一樣所以我做一個修正動議就是說我們對於這個不用一定要在涉及同意戶籍就是如果說它的這個
transcript.whisperx[136].start 4579.207
transcript.whisperx[136].end 4600.765
transcript.whisperx[136].text 是這個車輛他的車籍與身心障礙者的戶籍為同一直轄室或縣市之二親等營內的親屬也可以適用就是說他只要依照他的車籍去做判斷我是有這樣一個修正同意現在就請財政部這邊針對剛才大家的一個提案說明做整體的回應好不好
transcript.whisperx[137].start 4610.727
transcript.whisperx[137].end 4612.71
transcript.whisperx[137].text 謝謝委員我想這裡大家都認為對於身心障礙的朋友因為他沒有辦法身體的狀況沒辦法持有一輛車或者沒有辦法駕照而需要有人來照顧然後這個車有人在親屬來照顧
transcript.whisperx[138].start 4627.427
transcript.whisperx[138].end 4630.431
transcript.whisperx[138].text 這個親屬的車輛是供身心障礙朋友來做使用我想這是一個前提只是說怎麼認定就是說我的車而我是供身心障礙的親屬來做使用因此在過程當中也經過歷次修法
transcript.whisperx[139].start 4644.751
transcript.whisperx[139].end 4650.712
transcript.whisperx[139].text 也就是說在認定上不要讓我們的激增食物激增的同仁在認定上不要產生這個他困擾他困難度確實他在食物認定上他會產生困難因此在歷次的修法裡面在100最近一次是在103年6月的時候才把它修成其本人配偶或同一戶籍二親等以內所有
transcript.whisperx[140].start 4665.576
transcript.whisperx[140].end 4679.287
transcript.whisperx[140].text 這個目的其實就是在於核食上有激增食物上的困難因此做這樣的一個規定那這個部分如同剛剛各位委員也說的牌照稅是屬於地方稅那地方激增機關在免徵這樣的一個牌照稅的時候它在食物執行上認定上有沒有困難
transcript.whisperx[141].start 4684.791
transcript.whisperx[141].end 4690.393
transcript.whisperx[141].text 食物上如果不是這麼好認定而對到時候會造成它是不是業務上的一些風險我覺得這個要考慮我們大家都知道因為可以這樣就是說我們確實知道身心障礙朋友他需要有人幫忙他可是也要考慮到稅收的一個公平性造成我們激增同仁產生食物執行的一個困難我覺得這個是要同時考量
transcript.whisperx[142].start 4709.6
transcript.whisperx[142].end 4716.345
transcript.whisperx[142].text 我想在地方政府的部分其實也可以容許他們可以去表達一下意見因為在食物執行是他們在做的衛福部吳副市長來表達你的意見
transcript.whisperx[143].start 4730.72
transcript.whisperx[143].end 4749.526
transcript.whisperx[143].text 好那因為剛剛前面很多委員都有提到說未來在長照3.0或者是現在我們還是會要持續強化有關於交通資源的一些部件所以我們在特約這些交通接送的單位的時候其實我們會擴大這些多元特約的方向包含是說這些客運業者或者是
transcript.whisperx[144].start 4750.726
transcript.whisperx[144].end 4771.546
transcript.whisperx[144].text 租赁业者或者是一些计程车客运服务业这些其实我们都有把它纳进来还有就是说针对原偏乡的部分我们也会针对这些车辆有购车的相关补助还有就是说现行的部分也有针对我们的服务提供单位它如果是投入我们长照交通接送的时候现行的法规也有做免征牌照税
transcript.whisperx[145].start 4772.366
transcript.whisperx[145].end 4793.232
transcript.whisperx[145].text 車輛的這些相關的規定那未來就是在我們服務提供的時候還是會透過我們的社區整合性服務中心去強化相關的一些交通的銜接然後我們現在也有跟交通部這邊合作相關的一些預約的系統去做一些整合讓地方政府在派車輛的時候那可以去做更好的整合跟
transcript.whisperx[146].start 4793.632
transcript.whisperx[146].end 4821.968
transcript.whisperx[146].text 多元共成的一些排班那這個部分我們還是會在長照的議題上面會持續努力那至於說有關於稅法修訂的部分我們還是尊重會上的這邊討論然後跟財政部這邊的一些評估以上好 吳秉瑞委員我很感佩我們主席還有各位委員想要照顧這個身心障礙者的這個心情這個我們照顧弱勢是本來大家就應該做的事情但是
transcript.whisperx[147].start 4822.788
transcript.whisperx[147].end 4839.035
transcript.whisperx[147].text 如果說因為主席剛剛提到說因為現在單一戶籍的或是說少子化的狀況使得父母親跟子女可能戶籍不相同然後所以你希望說要把那個戶籍的限制拿掉那這個戶籍限制拿掉一拿掉之後就產生一個問題
transcript.whisperx[148].start 4841.031
transcript.whisperx[148].end 4857.937
transcript.whisperx[148].text 所有的身心障礙者他2000等以內的親屬全部都免拍照稅了因為我戶籍不用限制所以假設我的2000等以內有一個人是身心障礙者我的車子就可以去申請說我這個拍照稅都免拍照稅
transcript.whisperx[149].start 4863.95
transcript.whisperx[149].end 4880.642
transcript.whisperx[149].text 現在一個問題是剛剛其實部長講的我覺得我把它講到最極端我們念法律的人喜歡把例子舉到極端你就可以知道那問題會產生在哪裡你這個公務員如果因為這樣來申請你跟他同意的時候後來發現實質上不符
transcript.whisperx[150].start 4881.978
transcript.whisperx[150].end 4907.253
transcript.whisperx[150].text 事實上他根本也沒有照顧他然後他就是也住不住在一起結果他這個牌照稅被核准的時候這個公務員以後是要跑地檢署跑法院的可能這個公務員他起先是他有可能是可能沒有去這麼仔細的認定或是說他就是比較粗心大意也沒有認定你來申請我就給你過了
transcript.whisperx[151].start 4908.982
transcript.whisperx[151].end 4930.168
transcript.whisperx[151].text 這將來有可能要跑法院了所以我們真的是需要為公務員想一下你那個如果放得太寬然後又沒有一個很明確的標準它除了量能不足之外還有法律風險我覺得部長剛剛很客氣沒有把這部分講得很清楚因為我以前當法官所以我知道會有這個問題存在所以是不是再考量一下好 謝謝
transcript.whisperx[152].start 4931.568
transcript.whisperx[152].end 4947.337
transcript.whisperx[152].text 我想針對第7條部分聽大家的意見是不是第7條我們就繼續留在我們委員會好不好38條日期的規定我們也是黃珊珊委員
transcript.whisperx[153].start 4952.731
transcript.whisperx[153].end 4980.567
transcript.whisperx[153].text 主席我想跟剛剛大家的意見都差不多嘛所以我這邊可能要想要提一個附帶決議是請衛福部跟財政部在兩個月之內提出強化復康巴士跟長照交通車量能跟減輕長照家庭監送負擔的計劃等一下我請大家簽一下那我等一下再補上來三個月可以啊我來反正就是我們希望的是解決問題啦主要是有人真的是沒有辦法有出門的機會對
transcript.whisperx[154].start 4982.395
transcript.whisperx[154].end 4999.422
transcript.whisperx[154].text 可以嗎 那個參謀附帶決議可以啊 三個月好對對好對啦 一起連署那我就編我們就宣告了OK等一下 等一下過了
transcript.whisperx[155].start 5002.888
transcript.whisperx[155].end 5013.396
transcript.whisperx[155].text 出去那個第五層我們就出去那四次案先去加兩個修正案一起去四次案那個就還要不要卸傘要卸傘有電啦還有你那個
transcript.whisperx[156].start 5026.235
transcript.whisperx[156].end 5028.216
transcript.whisperx[156].text 有點啦 有點的要協商啦
transcript.whisperx[157].start 5044.446
transcript.whisperx[157].end 5045.947
transcript.whisperx[157].text 你協商的時候你再去講
transcript.whisperx[158].start 5065.268
transcript.whisperx[158].end 5080.02
transcript.whisperx[158].text 好 那我就去幫你們趕快送出去我就幫你送出去你到那對修這個我們先看一下如果經濟是他們因為這個本來是他們來的他希望我們行的我們尊重他的意見
transcript.whisperx[159].start 5082.818
transcript.whisperx[159].end 5108.026
transcript.whisperx[159].text 還有地方政府啊地方政府一定都說不要的那你也要尊重台啊我跟你講地方政府一毛不拔沒有啦 你要尊重 拔不拔不回事啦你還是得尊重他們的經驗我會根據我的經驗 問的結果我知道我知道 我只是問的結果 結果都一樣頂多有兩個政治層比較有良心政治認識 感覺 其他的都是不管
transcript.whisperx[160].start 5110.027
transcript.whisperx[160].end 5125.558
transcript.whisperx[160].text 那明年就開始試用了阿媽熊就可以試用了多好啊 大家好開心喔很多人真的都打電話來問
transcript.whisperx[161].start 5138.367
transcript.whisperx[161].end 5148.713
transcript.whisperx[161].text 不是 委員那個沒有說出生優惠沒有說保到每一個人都夠的啦對阿 對阿而且那個不用實際請看護來來來 我跟你講一個年輕人公共保護護護護護護護護護護護護
transcript.whisperx[162].start 5166.404
transcript.whisperx[162].end 5191.943
transcript.whisperx[162].text 他就不跟我們辦啊,連家人都不跟我們辦,他說叫我們錢,他就叫我們錢跟他辦,所以我們就不跟他辦。你給我一張。我跟你講,他連帖子都不給我們。他沒有,他沒有,他沒有,他沒有,他沒有,他沒有,他沒有,他沒有,他沒有,
transcript.whisperx[163].start 5198.007
transcript.whisperx[163].end 5217.703
transcript.whisperx[163].text 這裏面是一間餐廳,一間餐廳的中間是一間餐廳的餐廳。
transcript.whisperx[164].start 5221.51
transcript.whisperx[164].end 5225.727
transcript.whisperx[164].text 好 各位委員我們現在協商完成先請議事人員宣讀協商結論
transcript.whisperx[165].start 5228.021
transcript.whisperx[165].end 5253.634
transcript.whisperx[165].text 宣讀使用牌照稅協商結論第五條保留送院會協商處理第七條及第38條令擇期待審查宣讀通過附帶決議案請衛福部及財政部於三個月內提出強化復康八四及長照交通車輛能及減輕長照家庭接送負責之計劃提案委員黃珊珊 王世堅
transcript.whisperx[166].start 5255.374
transcript.whisperx[166].end 5275.581
transcript.whisperx[166].text 賴會員 李昆成 林思明 賴世保 吳秉瑞 郭國文等宣讀完畢請問各位委員對協商結論有異議沒有那我們本次會議做如下決議
transcript.whisperx[167].start 5279.898
transcript.whisperx[167].end 5304.358
transcript.whisperx[167].text 行政院韓勤審議本院委員邱振鈞等19人委員陳超明等18人委員羅明才等20人委員廖偉祥等19人委員楊瓊英等27人委員徐以珍等22人委員邱若驊等17人委員林俊憲等26人委員王宏威等19人委員李彥秀等16人委員蘇清泉等18人
transcript.whisperx[168].start 5304.958
transcript.whisperx[168].end 5333.075
transcript.whisperx[168].text 委員徐欣盈等24人委員邱益勤等19人委員王美惠等19人委員李坤澄等18人委員羅廷瑋等17人委員郭國文等18人委員吳佩儀等17人委員葛如君等16人委員沈發慧等17人委員林思明等22人委員賴世保等25人委員黃劍豪等20人委員陳素月等21人委員吳麗華
transcript.whisperx[169].start 5335.458
transcript.whisperx[169].end 5351.233
transcript.whisperx[169].text 等十六人委員馬文君等十六人委員羅美玲等十八人委員顏寬恒等十七人委員林月琴等十七人委員葉元之等二十人委員徐富奎等十七人委員陳超明等十六人
transcript.whisperx[170].start 5351.914
transcript.whisperx[170].end 5373.488
transcript.whisperx[170].text 委員丁學忠等18人委員張志倫等17人委員習巧欣等23人委員萬美玲等18人委員洪孟凱等19人委員翁曉琳等18人委員陳俊宇等20人分別擬具使用牌照稅法第五條修正草案等40案
transcript.whisperx[171].start 5375.031
transcript.whisperx[171].end 5400.072
transcript.whisperx[171].text 以及委員林世民委員賴世寶所提第五條修正動議均已審查完略並按擬據審查報告提報提報院會討論院會討論前交由黨團協商院會討論時有本席補充說明請問各位委員對以上決議有異議沒有異議我們通過
transcript.whisperx[172].start 5405.072
transcript.whisperx[172].end 5413.856
transcript.whisperx[172].text 對於台灣民眾黨團擬拒使用牌照稅法第五條及第七條條文修正草案委員廖先祥等17人擬拒
transcript.whisperx[173].start 5417.219
transcript.whisperx[173].end 5442.606
transcript.whisperx[173].text 委員廖先祥等17人擬拒使用牌照稅法第5條及第38條條文修正草案委員牛許廷等17人委員鍾嘉秉等16人委員林思敏等23人分別擬拒使用牌照稅法第7條條文修正草案等3案委員廖偉祥等17人擬拒使用牌照稅法第7條及第38條條文修正草案令則其繼續審查
transcript.whisperx[174].start 5446.694
transcript.whisperx[174].end 5454.662
transcript.whisperx[174].text 請問各位委員對以上決議有異議我們今天的會議就到此為止 我們散會