iVOD / 17487

Field Value
IVOD_ID 17487
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17487
日期 2026-06-03
會議資料.會議代碼 委員會-11-5-19-16
會議資料.會議代碼:str 第11屆第5會期經濟委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第5會期經濟委員會第16次全體委員會議
影片種類 Full
開始時間 2026-06-03T08:35:42+08:00
結束時間 2026-06-03T12:31:00+08:00
影片長度 03:55:18
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbe66ab847b1d2194e7ee42f9729c6abfd807a15c9b87617152550dd3429406bed5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-06-03T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第16次全體委員會議(事由:一、 繼續審查: (一) 本院委員伍麗華Saidhai Tahovecahe等17人擬具「土石採取法第三條條文修正草案」案。 (二) 本院委員黃仁等36人擬具「土石採取法第三條及第十四條條文修正草案」案。 (三) 本院委員邱議瑩等21人擬具「土石採取法部分條文修正草案」案。 (四) 本院委員賴瑞隆等19人擬具「土石採取法部分條文修正草案」案。 (五) 本院委員許智傑等31人擬具「土石採取法第三十六條條文修正草案」案。 (六) 本院委員柯志恩等19人擬具「土石採取法第三十六條條文修正草案」案。 (七) 本院委員邱鎮軍等24人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。 (八) 本院委員陳亭妃等16人擬具「土石採取法第三十六條條文修正草案」案。 (九) 本院委員丁學忠等16人擬具「土石採取法第三十六條條文修正草案」案。 (十) 本院台灣民眾黨黨團擬具「土石採取法第三十六條、第三十八條及第四十一條條文修正草案」案。 二、 審查: (十一) 行政院函請審議「土石採取法第三十六條條文修正草案」案。 (十二) 本院委員林倩綺等17人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。 (十三) 本院委員鄭天財Sra Kacaw等16人擬具「土石採取法第三條及第十四條條文修正草案」案。 (十四) 本院委員徐巧芯等16人擬具「土石採取法第三十六條條文修正草案」案。 (十五) 本院委員王鴻薇等19人擬具「土石採取法第三十六條條文修正草案」案。 (十六) 本院委員廖偉翔等21人擬具「土石採取法第三十六條條文修正草案」案。 (第十五及第十六案如未接獲院會交付審查之議事處來文,則不予審查) (詢答及處理) 【6月3日及6月4日二天一次會】)
委員名稱 完整會議
委員發言時間 08:35:42 - 12:31:00
transcript.pyannote[0].speaker SPEAKER_17
transcript.pyannote[0].start 1489.87409375
transcript.pyannote[0].end 1494.54846875
transcript.pyannote[1].speaker SPEAKER_08
transcript.pyannote[1].start 1495.34159375
transcript.pyannote[1].end 1497.99096875
transcript.pyannote[2].speaker SPEAKER_17
transcript.pyannote[2].start 1499.42534375
transcript.pyannote[2].end 1504.03221875
transcript.pyannote[3].speaker SPEAKER_24
transcript.pyannote[3].start 1504.03221875
transcript.pyannote[3].end 1504.18409375
transcript.pyannote[4].speaker SPEAKER_17
transcript.pyannote[4].start 1505.43284375
transcript.pyannote[4].end 1505.44971875
transcript.pyannote[5].speaker SPEAKER_24
transcript.pyannote[5].start 1505.44971875
transcript.pyannote[5].end 1522.29096875
transcript.pyannote[6].speaker SPEAKER_24
transcript.pyannote[6].start 1522.86471875
transcript.pyannote[6].end 1529.96909375
transcript.pyannote[7].speaker SPEAKER_24
transcript.pyannote[7].start 1530.57659375
transcript.pyannote[7].end 1557.54284375
transcript.pyannote[8].speaker SPEAKER_24
transcript.pyannote[8].start 1557.61034375
transcript.pyannote[8].end 1582.28159375
transcript.pyannote[9].speaker SPEAKER_24
transcript.pyannote[9].start 1582.85534375
transcript.pyannote[9].end 1615.64346875
transcript.pyannote[10].speaker SPEAKER_24
transcript.pyannote[10].start 1615.91346875
transcript.pyannote[10].end 1624.43534375
transcript.pyannote[11].speaker SPEAKER_24
transcript.pyannote[11].start 1624.63784375
transcript.pyannote[11].end 1628.19846875
transcript.pyannote[12].speaker SPEAKER_24
transcript.pyannote[12].start 1628.68784375
transcript.pyannote[12].end 1630.20659375
transcript.pyannote[13].speaker SPEAKER_24
transcript.pyannote[13].start 1630.91534375
transcript.pyannote[13].end 1633.46346875
transcript.pyannote[14].speaker SPEAKER_24
transcript.pyannote[14].start 1633.54784375
transcript.pyannote[14].end 1642.99784375
transcript.pyannote[15].speaker SPEAKER_24
transcript.pyannote[15].start 1643.14971875
transcript.pyannote[15].end 1657.40909375
transcript.pyannote[16].speaker SPEAKER_24
transcript.pyannote[16].start 1658.03346875
transcript.pyannote[16].end 1659.51846875
transcript.pyannote[17].speaker SPEAKER_24
transcript.pyannote[17].start 1659.78846875
transcript.pyannote[17].end 1662.57284375
transcript.pyannote[18].speaker SPEAKER_24
transcript.pyannote[18].start 1663.04534375
transcript.pyannote[18].end 1673.50784375
transcript.pyannote[19].speaker SPEAKER_24
transcript.pyannote[19].start 1673.74409375
transcript.pyannote[19].end 1692.54284375
transcript.pyannote[20].speaker SPEAKER_24
transcript.pyannote[20].start 1692.67784375
transcript.pyannote[20].end 1712.45534375
transcript.pyannote[21].speaker SPEAKER_24
transcript.pyannote[21].start 1712.96159375
transcript.pyannote[21].end 1714.19346875
transcript.pyannote[22].speaker SPEAKER_24
transcript.pyannote[22].start 1714.69971875
transcript.pyannote[22].end 1717.39971875
transcript.pyannote[23].speaker SPEAKER_24
transcript.pyannote[23].start 1717.51784375
transcript.pyannote[23].end 1721.73659375
transcript.pyannote[24].speaker SPEAKER_24
transcript.pyannote[24].start 1721.90534375
transcript.pyannote[24].end 1723.71096875
transcript.pyannote[25].speaker SPEAKER_24
transcript.pyannote[25].start 1723.86284375
transcript.pyannote[25].end 1724.87534375
transcript.pyannote[26].speaker SPEAKER_24
transcript.pyannote[26].start 1726.12409375
transcript.pyannote[26].end 1733.81909375
transcript.pyannote[27].speaker SPEAKER_24
transcript.pyannote[27].start 1734.27471875
transcript.pyannote[27].end 1740.16409375
transcript.pyannote[28].speaker SPEAKER_24
transcript.pyannote[28].start 1741.58159375
transcript.pyannote[28].end 1745.17596875
transcript.pyannote[29].speaker SPEAKER_24
transcript.pyannote[29].start 1745.81721875
transcript.pyannote[29].end 1755.50346875
transcript.pyannote[30].speaker SPEAKER_24
transcript.pyannote[30].start 1755.85784375
transcript.pyannote[30].end 1763.41784375
transcript.pyannote[31].speaker SPEAKER_24
transcript.pyannote[31].start 1763.65409375
transcript.pyannote[31].end 1766.89409375
transcript.pyannote[32].speaker SPEAKER_24
transcript.pyannote[32].start 1766.99534375
transcript.pyannote[32].end 1767.65346875
transcript.pyannote[33].speaker SPEAKER_24
transcript.pyannote[33].start 1767.72096875
transcript.pyannote[33].end 1770.84284375
transcript.pyannote[34].speaker SPEAKER_24
transcript.pyannote[34].start 1771.50096875
transcript.pyannote[34].end 1772.98596875
transcript.pyannote[35].speaker SPEAKER_24
transcript.pyannote[35].start 1773.22221875
transcript.pyannote[35].end 1775.07846875
transcript.pyannote[36].speaker SPEAKER_24
transcript.pyannote[36].start 1775.11221875
transcript.pyannote[36].end 1776.17534375
transcript.pyannote[37].speaker SPEAKER_24
transcript.pyannote[37].start 1776.58034375
transcript.pyannote[37].end 1783.16159375
transcript.pyannote[38].speaker SPEAKER_24
transcript.pyannote[38].start 1783.56659375
transcript.pyannote[38].end 1785.69284375
transcript.pyannote[39].speaker SPEAKER_24
transcript.pyannote[39].start 1785.77721875
transcript.pyannote[39].end 1786.58721875
transcript.pyannote[40].speaker SPEAKER_24
transcript.pyannote[40].start 1787.31284375
transcript.pyannote[40].end 1790.14784375
transcript.pyannote[41].speaker SPEAKER_24
transcript.pyannote[41].start 1790.38409375
transcript.pyannote[41].end 1792.02096875
transcript.pyannote[42].speaker SPEAKER_24
transcript.pyannote[42].start 1792.17284375
transcript.pyannote[42].end 1795.73346875
transcript.pyannote[43].speaker SPEAKER_24
transcript.pyannote[43].start 1795.81784375
transcript.pyannote[43].end 1806.85409375
transcript.pyannote[44].speaker SPEAKER_24
transcript.pyannote[44].start 1806.90471875
transcript.pyannote[44].end 1809.89159375
transcript.pyannote[45].speaker SPEAKER_24
transcript.pyannote[45].start 1810.14471875
transcript.pyannote[45].end 1822.27784375
transcript.pyannote[46].speaker SPEAKER_24
transcript.pyannote[46].start 1823.00346875
transcript.pyannote[46].end 1829.55096875
transcript.pyannote[47].speaker SPEAKER_24
transcript.pyannote[47].start 1829.90534375
transcript.pyannote[47].end 1838.15721875
transcript.pyannote[48].speaker SPEAKER_24
transcript.pyannote[48].start 1838.86596875
transcript.pyannote[48].end 1846.45971875
transcript.pyannote[49].speaker SPEAKER_24
transcript.pyannote[49].start 1846.71284375
transcript.pyannote[49].end 1847.53971875
transcript.pyannote[50].speaker SPEAKER_24
transcript.pyannote[50].start 1847.89409375
transcript.pyannote[50].end 1850.74596875
transcript.pyannote[51].speaker SPEAKER_24
transcript.pyannote[51].start 1850.76284375
transcript.pyannote[51].end 1861.03971875
transcript.pyannote[52].speaker SPEAKER_24
transcript.pyannote[52].start 1861.56284375
transcript.pyannote[52].end 1875.28221875
transcript.pyannote[53].speaker SPEAKER_24
transcript.pyannote[53].start 1875.72096875
transcript.pyannote[53].end 1890.85784375
transcript.pyannote[54].speaker SPEAKER_24
transcript.pyannote[54].start 1891.21221875
transcript.pyannote[54].end 1915.32659375
transcript.pyannote[55].speaker SPEAKER_24
transcript.pyannote[55].start 1915.81596875
transcript.pyannote[55].end 1916.23784375
transcript.pyannote[56].speaker SPEAKER_24
transcript.pyannote[56].start 1916.49096875
transcript.pyannote[56].end 1917.23346875
transcript.pyannote[57].speaker SPEAKER_24
transcript.pyannote[57].start 1917.80721875
transcript.pyannote[57].end 1941.36471875
transcript.pyannote[58].speaker SPEAKER_24
transcript.pyannote[58].start 1941.51659375
transcript.pyannote[58].end 1947.89534375
transcript.pyannote[59].speaker SPEAKER_24
transcript.pyannote[59].start 1947.96284375
transcript.pyannote[59].end 1962.05346875
transcript.pyannote[60].speaker SPEAKER_24
transcript.pyannote[60].start 1962.34034375
transcript.pyannote[60].end 1977.96659375
transcript.pyannote[61].speaker SPEAKER_24
transcript.pyannote[61].start 1979.09721875
transcript.pyannote[61].end 1988.78346875
transcript.pyannote[62].speaker SPEAKER_24
transcript.pyannote[62].start 1988.91846875
transcript.pyannote[62].end 2001.05159375
transcript.pyannote[63].speaker SPEAKER_24
transcript.pyannote[63].start 2001.25409375
transcript.pyannote[63].end 2017.48784375
transcript.pyannote[64].speaker SPEAKER_24
transcript.pyannote[64].start 2018.23034375
transcript.pyannote[64].end 2039.13846875
transcript.pyannote[65].speaker SPEAKER_24
transcript.pyannote[65].start 2039.52659375
transcript.pyannote[65].end 2043.89721875
transcript.pyannote[66].speaker SPEAKER_24
transcript.pyannote[66].start 2044.01534375
transcript.pyannote[66].end 2044.60596875
transcript.pyannote[67].speaker SPEAKER_24
transcript.pyannote[67].start 2045.06159375
transcript.pyannote[67].end 2054.74784375
transcript.pyannote[68].speaker SPEAKER_24
transcript.pyannote[68].start 2055.92909375
transcript.pyannote[68].end 2060.41784375
transcript.pyannote[69].speaker SPEAKER_24
transcript.pyannote[69].start 2060.60346875
transcript.pyannote[69].end 2097.01971875
transcript.pyannote[70].speaker SPEAKER_24
transcript.pyannote[70].start 2097.17159375
transcript.pyannote[70].end 2097.99846875
transcript.pyannote[71].speaker SPEAKER_24
transcript.pyannote[71].start 2098.20096875
transcript.pyannote[71].end 2101.72784375
transcript.pyannote[72].speaker SPEAKER_24
transcript.pyannote[72].start 2102.25096875
transcript.pyannote[72].end 2110.45221875
transcript.pyannote[73].speaker SPEAKER_24
transcript.pyannote[73].start 2110.94159375
transcript.pyannote[73].end 2112.91596875
transcript.pyannote[74].speaker SPEAKER_24
transcript.pyannote[74].start 2113.25346875
transcript.pyannote[74].end 2114.51909375
transcript.pyannote[75].speaker SPEAKER_24
transcript.pyannote[75].start 2115.61596875
transcript.pyannote[75].end 2116.40909375
transcript.pyannote[76].speaker SPEAKER_24
transcript.pyannote[76].start 2116.78034375
transcript.pyannote[76].end 2121.80909375
transcript.pyannote[77].speaker SPEAKER_24
transcript.pyannote[77].start 2122.16346875
transcript.pyannote[77].end 2128.69409375
transcript.pyannote[78].speaker SPEAKER_24
transcript.pyannote[78].start 2128.93034375
transcript.pyannote[78].end 2131.63034375
transcript.pyannote[79].speaker SPEAKER_24
transcript.pyannote[79].start 2132.03534375
transcript.pyannote[79].end 2135.84909375
transcript.pyannote[80].speaker SPEAKER_24
transcript.pyannote[80].start 2136.11909375
transcript.pyannote[80].end 2156.14971875
transcript.pyannote[81].speaker SPEAKER_24
transcript.pyannote[81].start 2156.21721875
transcript.pyannote[81].end 2179.75784375
transcript.pyannote[82].speaker SPEAKER_24
transcript.pyannote[82].start 2180.21346875
transcript.pyannote[82].end 2183.41971875
transcript.pyannote[83].speaker SPEAKER_24
transcript.pyannote[83].start 2183.67284375
transcript.pyannote[83].end 2191.45221875
transcript.pyannote[84].speaker SPEAKER_24
transcript.pyannote[84].start 2191.73909375
transcript.pyannote[84].end 2192.56596875
transcript.pyannote[85].speaker SPEAKER_24
transcript.pyannote[85].start 2193.22409375
transcript.pyannote[85].end 2207.87159375
transcript.pyannote[86].speaker SPEAKER_24
transcript.pyannote[86].start 2208.59721875
transcript.pyannote[86].end 2209.18784375
transcript.pyannote[87].speaker SPEAKER_24
transcript.pyannote[87].start 2209.47471875
transcript.pyannote[87].end 2214.48659375
transcript.pyannote[88].speaker SPEAKER_24
transcript.pyannote[88].start 2214.94221875
transcript.pyannote[88].end 2218.73909375
transcript.pyannote[89].speaker SPEAKER_24
transcript.pyannote[89].start 2219.11034375
transcript.pyannote[89].end 2225.84346875
transcript.pyannote[90].speaker SPEAKER_24
transcript.pyannote[90].start 2226.61971875
transcript.pyannote[90].end 2227.24409375
transcript.pyannote[91].speaker SPEAKER_24
transcript.pyannote[91].start 2227.93596875
transcript.pyannote[91].end 2229.70784375
transcript.pyannote[92].speaker SPEAKER_24
transcript.pyannote[92].start 2229.96096875
transcript.pyannote[92].end 2241.58784375
transcript.pyannote[93].speaker SPEAKER_24
transcript.pyannote[93].start 2241.77346875
transcript.pyannote[93].end 2251.64534375
transcript.pyannote[94].speaker SPEAKER_24
transcript.pyannote[94].start 2251.89846875
transcript.pyannote[94].end 2252.59034375
transcript.pyannote[95].speaker SPEAKER_24
transcript.pyannote[95].start 2253.38346875
transcript.pyannote[95].end 2260.06596875
transcript.pyannote[96].speaker SPEAKER_24
transcript.pyannote[96].start 2260.80846875
transcript.pyannote[96].end 2273.93721875
transcript.pyannote[97].speaker SPEAKER_24
transcript.pyannote[97].start 2274.22409375
transcript.pyannote[97].end 2275.67534375
transcript.pyannote[98].speaker SPEAKER_24
transcript.pyannote[98].start 2275.94534375
transcript.pyannote[98].end 2285.86784375
transcript.pyannote[99].speaker SPEAKER_24
transcript.pyannote[99].start 2286.12096875
transcript.pyannote[99].end 2314.94346875
transcript.pyannote[100].speaker SPEAKER_24
transcript.pyannote[100].start 2316.02346875
transcript.pyannote[100].end 2321.08596875
transcript.pyannote[101].speaker SPEAKER_17
transcript.pyannote[101].start 2321.08596875
transcript.pyannote[101].end 2321.11971875
transcript.pyannote[102].speaker SPEAKER_24
transcript.pyannote[102].start 2324.51159375
transcript.pyannote[102].end 2324.96721875
transcript.pyannote[103].speaker SPEAKER_17
transcript.pyannote[103].start 2324.96721875
transcript.pyannote[103].end 2325.03471875
transcript.pyannote[104].speaker SPEAKER_24
transcript.pyannote[104].start 2325.03471875
transcript.pyannote[104].end 2325.96284375
transcript.pyannote[105].speaker SPEAKER_17
transcript.pyannote[105].start 2325.96284375
transcript.pyannote[105].end 2326.03034375
transcript.pyannote[106].speaker SPEAKER_24
transcript.pyannote[106].start 2326.03034375
transcript.pyannote[106].end 2326.97534375
transcript.pyannote[107].speaker SPEAKER_17
transcript.pyannote[107].start 2326.97534375
transcript.pyannote[107].end 2327.02596875
transcript.pyannote[108].speaker SPEAKER_24
transcript.pyannote[108].start 2327.02596875
transcript.pyannote[108].end 2327.41409375
transcript.pyannote[109].speaker SPEAKER_17
transcript.pyannote[109].start 2328.20721875
transcript.pyannote[109].end 2328.22409375
transcript.pyannote[110].speaker SPEAKER_24
transcript.pyannote[110].start 2328.22409375
transcript.pyannote[110].end 2336.93159375
transcript.pyannote[111].speaker SPEAKER_24
transcript.pyannote[111].start 2337.35346875
transcript.pyannote[111].end 2340.57659375
transcript.pyannote[112].speaker SPEAKER_24
transcript.pyannote[112].start 2340.84659375
transcript.pyannote[112].end 2362.05846875
transcript.pyannote[113].speaker SPEAKER_24
transcript.pyannote[113].start 2362.17659375
transcript.pyannote[113].end 2364.03284375
transcript.pyannote[114].speaker SPEAKER_24
transcript.pyannote[114].start 2364.11721875
transcript.pyannote[114].end 2365.01159375
transcript.pyannote[115].speaker SPEAKER_24
transcript.pyannote[115].start 2367.34034375
transcript.pyannote[115].end 2373.11159375
transcript.pyannote[116].speaker SPEAKER_24
transcript.pyannote[116].start 2373.93846875
transcript.pyannote[116].end 2374.57971875
transcript.pyannote[117].speaker SPEAKER_24
transcript.pyannote[117].start 2375.08596875
transcript.pyannote[117].end 2380.16534375
transcript.pyannote[118].speaker SPEAKER_24
transcript.pyannote[118].start 2380.36784375
transcript.pyannote[118].end 2384.33346875
transcript.pyannote[119].speaker SPEAKER_24
transcript.pyannote[119].start 2385.19409375
transcript.pyannote[119].end 2386.05471875
transcript.pyannote[120].speaker SPEAKER_24
transcript.pyannote[120].start 2386.34159375
transcript.pyannote[120].end 2398.49159375
transcript.pyannote[121].speaker SPEAKER_17
transcript.pyannote[121].start 2402.11971875
transcript.pyannote[121].end 2408.07659375
transcript.pyannote[122].speaker SPEAKER_17
transcript.pyannote[122].start 2408.51534375
transcript.pyannote[122].end 2414.38784375
transcript.pyannote[123].speaker SPEAKER_17
transcript.pyannote[123].start 2414.91096875
transcript.pyannote[123].end 2415.63659375
transcript.pyannote[124].speaker SPEAKER_17
transcript.pyannote[124].start 2415.87284375
transcript.pyannote[124].end 2418.75846875
transcript.pyannote[125].speaker SPEAKER_17
transcript.pyannote[125].start 2419.60221875
transcript.pyannote[125].end 2421.62721875
transcript.pyannote[126].speaker SPEAKER_17
transcript.pyannote[126].start 2422.80846875
transcript.pyannote[126].end 2425.22159375
transcript.pyannote[127].speaker SPEAKER_17
transcript.pyannote[127].start 2426.23409375
transcript.pyannote[127].end 2428.71471875
transcript.pyannote[128].speaker SPEAKER_17
transcript.pyannote[128].start 2429.69346875
transcript.pyannote[128].end 2433.20346875
transcript.pyannote[129].speaker SPEAKER_17
transcript.pyannote[129].start 2433.67596875
transcript.pyannote[129].end 2434.30034375
transcript.pyannote[130].speaker SPEAKER_17
transcript.pyannote[130].start 2435.04284375
transcript.pyannote[130].end 2439.02534375
transcript.pyannote[131].speaker SPEAKER_17
transcript.pyannote[131].start 2440.47659375
transcript.pyannote[131].end 2444.07096875
transcript.pyannote[132].speaker SPEAKER_17
transcript.pyannote[132].start 2446.53471875
transcript.pyannote[132].end 2450.14596875
transcript.pyannote[133].speaker SPEAKER_17
transcript.pyannote[133].start 2452.12034375
transcript.pyannote[133].end 2456.06909375
transcript.pyannote[134].speaker SPEAKER_17
transcript.pyannote[134].start 2461.57034375
transcript.pyannote[134].end 2467.86471875
transcript.pyannote[135].speaker SPEAKER_17
transcript.pyannote[135].start 2468.26971875
transcript.pyannote[135].end 2480.68971875
transcript.pyannote[136].speaker SPEAKER_17
transcript.pyannote[136].start 2481.51659375
transcript.pyannote[136].end 2488.55346875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2495.20221875
transcript.pyannote[137].end 2498.88096875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2498.99909375
transcript.pyannote[138].end 2513.79846875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2514.15284375
transcript.pyannote[139].end 2536.95096875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2537.27159375
transcript.pyannote[140].end 2573.60346875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 2574.09284375
transcript.pyannote[141].end 2637.30659375
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 2637.98159375
transcript.pyannote[142].end 2675.88284375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 2676.49034375
transcript.pyannote[143].end 2676.89534375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 2678.97096875
transcript.pyannote[144].end 2678.98784375
transcript.pyannote[145].speaker SPEAKER_17
transcript.pyannote[145].start 2678.98784375
transcript.pyannote[145].end 2680.05096875
transcript.pyannote[146].speaker SPEAKER_17
transcript.pyannote[146].start 2680.11846875
transcript.pyannote[146].end 2681.28284375
transcript.pyannote[147].speaker SPEAKER_17
transcript.pyannote[147].start 2682.61596875
transcript.pyannote[147].end 2686.59846875
transcript.pyannote[148].speaker SPEAKER_17
transcript.pyannote[148].start 2687.07096875
transcript.pyannote[148].end 2688.82596875
transcript.pyannote[149].speaker SPEAKER_17
transcript.pyannote[149].start 2691.76221875
transcript.pyannote[149].end 2692.58909375
transcript.pyannote[150].speaker SPEAKER_17
transcript.pyannote[150].start 2693.12909375
transcript.pyannote[150].end 2700.82409375
transcript.pyannote[151].speaker SPEAKER_17
transcript.pyannote[151].start 2701.81971875
transcript.pyannote[151].end 2703.38909375
transcript.pyannote[152].speaker SPEAKER_17
transcript.pyannote[152].start 2704.82346875
transcript.pyannote[152].end 2705.86971875
transcript.pyannote[153].speaker SPEAKER_15
transcript.pyannote[153].start 2706.67971875
transcript.pyannote[153].end 2716.18034375
transcript.pyannote[154].speaker SPEAKER_15
transcript.pyannote[154].start 2716.50096875
transcript.pyannote[154].end 2718.28971875
transcript.pyannote[155].speaker SPEAKER_15
transcript.pyannote[155].start 2718.50909375
transcript.pyannote[155].end 2722.03596875
transcript.pyannote[156].speaker SPEAKER_15
transcript.pyannote[156].start 2722.28909375
transcript.pyannote[156].end 2723.58846875
transcript.pyannote[157].speaker SPEAKER_15
transcript.pyannote[157].start 2723.72346875
transcript.pyannote[157].end 2725.19159375
transcript.pyannote[158].speaker SPEAKER_15
transcript.pyannote[158].start 2725.71471875
transcript.pyannote[158].end 2736.07596875
transcript.pyannote[159].speaker SPEAKER_15
transcript.pyannote[159].start 2736.19409375
transcript.pyannote[159].end 2736.22784375
transcript.pyannote[160].speaker SPEAKER_15
transcript.pyannote[160].start 2736.31221875
transcript.pyannote[160].end 2752.44471875
transcript.pyannote[161].speaker SPEAKER_15
transcript.pyannote[161].start 2752.63034375
transcript.pyannote[161].end 2769.84284375
transcript.pyannote[162].speaker SPEAKER_15
transcript.pyannote[162].start 2770.34909375
transcript.pyannote[162].end 2774.07846875
transcript.pyannote[163].speaker SPEAKER_15
transcript.pyannote[163].start 2774.23034375
transcript.pyannote[163].end 2776.30596875
transcript.pyannote[164].speaker SPEAKER_15
transcript.pyannote[164].start 2776.37346875
transcript.pyannote[164].end 2791.78034375
transcript.pyannote[165].speaker SPEAKER_15
transcript.pyannote[165].start 2791.96596875
transcript.pyannote[165].end 2793.58596875
transcript.pyannote[166].speaker SPEAKER_15
transcript.pyannote[166].start 2794.07534375
transcript.pyannote[166].end 2796.79221875
transcript.pyannote[167].speaker SPEAKER_15
transcript.pyannote[167].start 2797.29846875
transcript.pyannote[167].end 2816.40096875
transcript.pyannote[168].speaker SPEAKER_15
transcript.pyannote[168].start 2816.55284375
transcript.pyannote[168].end 2824.85534375
transcript.pyannote[169].speaker SPEAKER_15
transcript.pyannote[169].start 2825.14221875
transcript.pyannote[169].end 2827.13346875
transcript.pyannote[170].speaker SPEAKER_15
transcript.pyannote[170].start 2827.47096875
transcript.pyannote[170].end 2828.95596875
transcript.pyannote[171].speaker SPEAKER_15
transcript.pyannote[171].start 2829.10784375
transcript.pyannote[171].end 2833.83284375
transcript.pyannote[172].speaker SPEAKER_15
transcript.pyannote[172].start 2834.81159375
transcript.pyannote[172].end 2838.92909375
transcript.pyannote[173].speaker SPEAKER_15
transcript.pyannote[173].start 2838.94596875
transcript.pyannote[173].end 2840.97096875
transcript.pyannote[174].speaker SPEAKER_15
transcript.pyannote[174].start 2841.30846875
transcript.pyannote[174].end 2848.53096875
transcript.pyannote[175].speaker SPEAKER_15
transcript.pyannote[175].start 2848.64909375
transcript.pyannote[175].end 2849.22284375
transcript.pyannote[176].speaker SPEAKER_15
transcript.pyannote[176].start 2849.89784375
transcript.pyannote[176].end 2852.66534375
transcript.pyannote[177].speaker SPEAKER_15
transcript.pyannote[177].start 2852.85096875
transcript.pyannote[177].end 2855.06159375
transcript.pyannote[178].speaker SPEAKER_15
transcript.pyannote[178].start 2855.29784375
transcript.pyannote[178].end 2862.31784375
transcript.pyannote[179].speaker SPEAKER_15
transcript.pyannote[179].start 2862.70596875
transcript.pyannote[179].end 2868.91596875
transcript.pyannote[180].speaker SPEAKER_15
transcript.pyannote[180].start 2868.94971875
transcript.pyannote[180].end 2877.30284375
transcript.pyannote[181].speaker SPEAKER_15
transcript.pyannote[181].start 2877.40409375
transcript.pyannote[181].end 2883.79971875
transcript.pyannote[182].speaker SPEAKER_15
transcript.pyannote[182].start 2884.49159375
transcript.pyannote[182].end 2891.52846875
transcript.pyannote[183].speaker SPEAKER_15
transcript.pyannote[183].start 2891.88284375
transcript.pyannote[183].end 2896.06784375
transcript.pyannote[184].speaker SPEAKER_15
transcript.pyannote[184].start 2896.40534375
transcript.pyannote[184].end 2899.24034375
transcript.pyannote[185].speaker SPEAKER_15
transcript.pyannote[185].start 2900.26971875
transcript.pyannote[185].end 2901.67034375
transcript.pyannote[186].speaker SPEAKER_15
transcript.pyannote[186].start 2901.95721875
transcript.pyannote[186].end 2903.13846875
transcript.pyannote[187].speaker SPEAKER_15
transcript.pyannote[187].start 2903.37471875
transcript.pyannote[187].end 2907.57659375
transcript.pyannote[188].speaker SPEAKER_15
transcript.pyannote[188].start 2908.21784375
transcript.pyannote[188].end 2911.86284375
transcript.pyannote[189].speaker SPEAKER_15
transcript.pyannote[189].start 2912.45346875
transcript.pyannote[189].end 2912.90909375
transcript.pyannote[190].speaker SPEAKER_15
transcript.pyannote[190].start 2913.44909375
transcript.pyannote[190].end 2915.45721875
transcript.pyannote[191].speaker SPEAKER_15
transcript.pyannote[191].start 2915.86221875
transcript.pyannote[191].end 2917.29659375
transcript.pyannote[192].speaker SPEAKER_15
transcript.pyannote[192].start 2917.85346875
transcript.pyannote[192].end 2920.11471875
transcript.pyannote[193].speaker SPEAKER_15
transcript.pyannote[193].start 2920.26659375
transcript.pyannote[193].end 2921.16096875
transcript.pyannote[194].speaker SPEAKER_15
transcript.pyannote[194].start 2922.46034375
transcript.pyannote[194].end 2927.26971875
transcript.pyannote[195].speaker SPEAKER_15
transcript.pyannote[195].start 2927.57346875
transcript.pyannote[195].end 2929.34534375
transcript.pyannote[196].speaker SPEAKER_15
transcript.pyannote[196].start 2929.53096875
transcript.pyannote[196].end 2930.59409375
transcript.pyannote[197].speaker SPEAKER_15
transcript.pyannote[197].start 2931.13409375
transcript.pyannote[197].end 2932.93971875
transcript.pyannote[198].speaker SPEAKER_15
transcript.pyannote[198].start 2933.12534375
transcript.pyannote[198].end 2938.40721875
transcript.pyannote[199].speaker SPEAKER_15
transcript.pyannote[199].start 2938.89659375
transcript.pyannote[199].end 2941.24221875
transcript.pyannote[200].speaker SPEAKER_15
transcript.pyannote[200].start 2941.51221875
transcript.pyannote[200].end 2942.38971875
transcript.pyannote[201].speaker SPEAKER_15
transcript.pyannote[201].start 2942.59221875
transcript.pyannote[201].end 2943.82409375
transcript.pyannote[202].speaker SPEAKER_15
transcript.pyannote[202].start 2944.19534375
transcript.pyannote[202].end 2950.21971875
transcript.pyannote[203].speaker SPEAKER_15
transcript.pyannote[203].start 2951.48534375
transcript.pyannote[203].end 2953.69596875
transcript.pyannote[204].speaker SPEAKER_15
transcript.pyannote[204].start 2953.72971875
transcript.pyannote[204].end 2956.34534375
transcript.pyannote[205].speaker SPEAKER_15
transcript.pyannote[205].start 2956.58159375
transcript.pyannote[205].end 2957.20596875
transcript.pyannote[206].speaker SPEAKER_15
transcript.pyannote[206].start 2957.50971875
transcript.pyannote[206].end 2970.82409375
transcript.pyannote[207].speaker SPEAKER_15
transcript.pyannote[207].start 2971.09409375
transcript.pyannote[207].end 2984.56034375
transcript.pyannote[208].speaker SPEAKER_15
transcript.pyannote[208].start 2984.79659375
transcript.pyannote[208].end 2986.18034375
transcript.pyannote[209].speaker SPEAKER_15
transcript.pyannote[209].start 2986.36596875
transcript.pyannote[209].end 2988.47534375
transcript.pyannote[210].speaker SPEAKER_15
transcript.pyannote[210].start 2988.91409375
transcript.pyannote[210].end 2991.46221875
transcript.pyannote[211].speaker SPEAKER_15
transcript.pyannote[211].start 2992.00221875
transcript.pyannote[211].end 2994.04409375
transcript.pyannote[212].speaker SPEAKER_15
transcript.pyannote[212].start 2994.58409375
transcript.pyannote[212].end 2995.86659375
transcript.pyannote[213].speaker SPEAKER_15
transcript.pyannote[213].start 2996.11971875
transcript.pyannote[213].end 3000.47346875
transcript.pyannote[214].speaker SPEAKER_15
transcript.pyannote[214].start 3001.01346875
transcript.pyannote[214].end 3001.58721875
transcript.pyannote[215].speaker SPEAKER_15
transcript.pyannote[215].start 3001.90784375
transcript.pyannote[215].end 3005.94096875
transcript.pyannote[216].speaker SPEAKER_15
transcript.pyannote[216].start 3006.85221875
transcript.pyannote[216].end 3008.79284375
transcript.pyannote[217].speaker SPEAKER_15
transcript.pyannote[217].start 3009.09659375
transcript.pyannote[217].end 3011.15534375
transcript.pyannote[218].speaker SPEAKER_15
transcript.pyannote[218].start 3011.34096875
transcript.pyannote[218].end 3016.77471875
transcript.pyannote[219].speaker SPEAKER_15
transcript.pyannote[219].start 3016.89284375
transcript.pyannote[219].end 3017.70284375
transcript.pyannote[220].speaker SPEAKER_15
transcript.pyannote[220].start 3018.05721875
transcript.pyannote[220].end 3019.27221875
transcript.pyannote[221].speaker SPEAKER_15
transcript.pyannote[221].start 3019.45784375
transcript.pyannote[221].end 3027.18659375
transcript.pyannote[222].speaker SPEAKER_15
transcript.pyannote[222].start 3027.52409375
transcript.pyannote[222].end 3029.05971875
transcript.pyannote[223].speaker SPEAKER_15
transcript.pyannote[223].start 3029.29596875
transcript.pyannote[223].end 3032.29971875
transcript.pyannote[224].speaker SPEAKER_15
transcript.pyannote[224].start 3032.68784375
transcript.pyannote[224].end 3034.37534375
transcript.pyannote[225].speaker SPEAKER_15
transcript.pyannote[225].start 3036.72096875
transcript.pyannote[225].end 3038.44221875
transcript.pyannote[226].speaker SPEAKER_15
transcript.pyannote[226].start 3039.35346875
transcript.pyannote[226].end 3044.53409375
transcript.pyannote[227].speaker SPEAKER_15
transcript.pyannote[227].start 3044.92221875
transcript.pyannote[227].end 3048.02721875
transcript.pyannote[228].speaker SPEAKER_15
transcript.pyannote[228].start 3048.04409375
transcript.pyannote[228].end 3052.14471875
transcript.pyannote[229].speaker SPEAKER_15
transcript.pyannote[229].start 3052.58346875
transcript.pyannote[229].end 3054.86159375
transcript.pyannote[230].speaker SPEAKER_15
transcript.pyannote[230].start 3055.45221875
transcript.pyannote[230].end 3059.23221875
transcript.pyannote[231].speaker SPEAKER_15
transcript.pyannote[231].start 3059.50221875
transcript.pyannote[231].end 3061.57784375
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 3061.86471875
transcript.pyannote[232].end 3081.79409375
transcript.pyannote[233].speaker SPEAKER_15
transcript.pyannote[233].start 3082.33409375
transcript.pyannote[233].end 3082.75596875
transcript.pyannote[234].speaker SPEAKER_15
transcript.pyannote[234].start 3082.90784375
transcript.pyannote[234].end 3082.99221875
transcript.pyannote[235].speaker SPEAKER_17
transcript.pyannote[235].start 3082.99221875
transcript.pyannote[235].end 3083.00909375
transcript.pyannote[236].speaker SPEAKER_15
transcript.pyannote[236].start 3085.57409375
transcript.pyannote[236].end 3085.59096875
transcript.pyannote[237].speaker SPEAKER_17
transcript.pyannote[237].start 3085.59096875
transcript.pyannote[237].end 3088.79721875
transcript.pyannote[238].speaker SPEAKER_17
transcript.pyannote[238].start 3089.16846875
transcript.pyannote[238].end 3094.87221875
transcript.pyannote[239].speaker SPEAKER_17
transcript.pyannote[239].start 3095.39534375
transcript.pyannote[239].end 3104.03534375
transcript.pyannote[240].speaker SPEAKER_17
transcript.pyannote[240].start 3104.11971875
transcript.pyannote[240].end 3108.32159375
transcript.pyannote[241].speaker SPEAKER_17
transcript.pyannote[241].start 3108.60846875
transcript.pyannote[241].end 3113.21534375
transcript.pyannote[242].speaker SPEAKER_17
transcript.pyannote[242].start 3113.35034375
transcript.pyannote[242].end 3117.53534375
transcript.pyannote[243].speaker SPEAKER_10
transcript.pyannote[243].start 3130.49534375
transcript.pyannote[243].end 3131.11971875
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 3131.18721875
transcript.pyannote[244].end 3132.31784375
transcript.pyannote[245].speaker SPEAKER_10
transcript.pyannote[245].start 3132.62159375
transcript.pyannote[245].end 3135.79409375
transcript.pyannote[246].speaker SPEAKER_10
transcript.pyannote[246].start 3136.21596875
transcript.pyannote[246].end 3154.10346875
transcript.pyannote[247].speaker SPEAKER_10
transcript.pyannote[247].start 3154.52534375
transcript.pyannote[247].end 3155.11596875
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 3155.62221875
transcript.pyannote[248].end 3156.63471875
transcript.pyannote[249].speaker SPEAKER_10
transcript.pyannote[249].start 3157.09034375
transcript.pyannote[249].end 3157.95096875
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 3158.35596875
transcript.pyannote[250].end 3159.26721875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 3159.77346875
transcript.pyannote[251].end 3162.06846875
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 3162.11909375
transcript.pyannote[252].end 3163.26659375
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 3163.60409375
transcript.pyannote[253].end 3164.43096875
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 3164.56596875
transcript.pyannote[254].end 3167.09721875
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 3168.49784375
transcript.pyannote[255].end 3169.30784375
transcript.pyannote[256].speaker SPEAKER_10
transcript.pyannote[256].start 3169.99971875
transcript.pyannote[256].end 3170.47221875
transcript.pyannote[257].speaker SPEAKER_10
transcript.pyannote[257].start 3170.75909375
transcript.pyannote[257].end 3174.91034375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 3175.14659375
transcript.pyannote[258].end 3178.62284375
transcript.pyannote[259].speaker SPEAKER_10
transcript.pyannote[259].start 3178.79159375
transcript.pyannote[259].end 3193.23659375
transcript.pyannote[260].speaker SPEAKER_10
transcript.pyannote[260].start 3193.37159375
transcript.pyannote[260].end 3197.20221875
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 3197.55659375
transcript.pyannote[261].end 3198.94034375
transcript.pyannote[262].speaker SPEAKER_10
transcript.pyannote[262].start 3199.26096875
transcript.pyannote[262].end 3201.97784375
transcript.pyannote[263].speaker SPEAKER_10
transcript.pyannote[263].start 3202.12971875
transcript.pyannote[263].end 3209.89221875
transcript.pyannote[264].speaker SPEAKER_10
transcript.pyannote[264].start 3210.19596875
transcript.pyannote[264].end 3211.34346875
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 3211.41096875
transcript.pyannote[265].end 3214.02659375
transcript.pyannote[266].speaker SPEAKER_15
transcript.pyannote[266].start 3214.02659375
transcript.pyannote[266].end 3215.17409375
transcript.pyannote[267].speaker SPEAKER_10
transcript.pyannote[267].start 3215.66346875
transcript.pyannote[267].end 3215.69721875
transcript.pyannote[268].speaker SPEAKER_15
transcript.pyannote[268].start 3215.69721875
transcript.pyannote[268].end 3219.49409375
transcript.pyannote[269].speaker SPEAKER_15
transcript.pyannote[269].start 3220.25346875
transcript.pyannote[269].end 3221.77221875
transcript.pyannote[270].speaker SPEAKER_10
transcript.pyannote[270].start 3220.82721875
transcript.pyannote[270].end 3221.60346875
transcript.pyannote[271].speaker SPEAKER_10
transcript.pyannote[271].start 3221.77221875
transcript.pyannote[271].end 3227.18909375
transcript.pyannote[272].speaker SPEAKER_10
transcript.pyannote[272].start 3227.32409375
transcript.pyannote[272].end 3230.96909375
transcript.pyannote[273].speaker SPEAKER_15
transcript.pyannote[273].start 3230.96909375
transcript.pyannote[273].end 3231.00284375
transcript.pyannote[274].speaker SPEAKER_10
transcript.pyannote[274].start 3231.82971875
transcript.pyannote[274].end 3231.84659375
transcript.pyannote[275].speaker SPEAKER_15
transcript.pyannote[275].start 3231.84659375
transcript.pyannote[275].end 3245.78534375
transcript.pyannote[276].speaker SPEAKER_10
transcript.pyannote[276].start 3239.79471875
transcript.pyannote[276].end 3241.04346875
transcript.pyannote[277].speaker SPEAKER_10
transcript.pyannote[277].start 3243.40596875
transcript.pyannote[277].end 3245.24534375
transcript.pyannote[278].speaker SPEAKER_15
transcript.pyannote[278].start 3246.98346875
transcript.pyannote[278].end 3247.96221875
transcript.pyannote[279].speaker SPEAKER_10
transcript.pyannote[279].start 3247.96221875
transcript.pyannote[279].end 3248.70471875
transcript.pyannote[280].speaker SPEAKER_15
transcript.pyannote[280].start 3248.70471875
transcript.pyannote[280].end 3248.72159375
transcript.pyannote[281].speaker SPEAKER_15
transcript.pyannote[281].start 3248.92409375
transcript.pyannote[281].end 3248.97471875
transcript.pyannote[282].speaker SPEAKER_10
transcript.pyannote[282].start 3248.97471875
transcript.pyannote[282].end 3259.03221875
transcript.pyannote[283].speaker SPEAKER_10
transcript.pyannote[283].start 3259.31909375
transcript.pyannote[283].end 3262.54221875
transcript.pyannote[284].speaker SPEAKER_10
transcript.pyannote[284].start 3263.18346875
transcript.pyannote[284].end 3266.69346875
transcript.pyannote[285].speaker SPEAKER_10
transcript.pyannote[285].start 3267.01409375
transcript.pyannote[285].end 3270.69284375
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 3270.72659375
transcript.pyannote[286].end 3276.85221875
transcript.pyannote[287].speaker SPEAKER_10
transcript.pyannote[287].start 3277.08846875
transcript.pyannote[287].end 3278.99534375
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 3279.26534375
transcript.pyannote[288].end 3284.71596875
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 3285.93096875
transcript.pyannote[289].end 3286.03221875
transcript.pyannote[290].speaker SPEAKER_15
transcript.pyannote[290].start 3286.03221875
transcript.pyannote[290].end 3288.54659375
transcript.pyannote[291].speaker SPEAKER_15
transcript.pyannote[291].start 3289.66034375
transcript.pyannote[291].end 3293.38971875
transcript.pyannote[292].speaker SPEAKER_15
transcript.pyannote[292].start 3293.94659375
transcript.pyannote[292].end 3294.97596875
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 3293.98034375
transcript.pyannote[293].end 3294.90846875
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 3294.97596875
transcript.pyannote[294].end 3298.01346875
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 3298.35096875
transcript.pyannote[295].end 3300.94971875
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 3301.38846875
transcript.pyannote[296].end 3303.56534375
transcript.pyannote[297].speaker SPEAKER_15
transcript.pyannote[297].start 3302.21534375
transcript.pyannote[297].end 3308.20596875
transcript.pyannote[298].speaker SPEAKER_15
transcript.pyannote[298].start 3308.57721875
transcript.pyannote[298].end 3318.95534375
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 3308.61096875
transcript.pyannote[299].end 3309.87659375
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 3317.90909375
transcript.pyannote[300].end 3328.47284375
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 3328.67534375
transcript.pyannote[301].end 3329.21534375
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 3329.31659375
transcript.pyannote[302].end 3329.89034375
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 3330.14346875
transcript.pyannote[303].end 3338.02409375
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 3338.20971875
transcript.pyannote[304].end 3341.65221875
transcript.pyannote[305].speaker SPEAKER_10
transcript.pyannote[305].start 3341.87159375
transcript.pyannote[305].end 3343.47471875
transcript.pyannote[306].speaker SPEAKER_10
transcript.pyannote[306].start 3343.60971875
transcript.pyannote[306].end 3344.36909375
transcript.pyannote[307].speaker SPEAKER_10
transcript.pyannote[307].start 3344.50409375
transcript.pyannote[307].end 3346.64721875
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 3346.83284375
transcript.pyannote[308].end 3348.26721875
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 3348.33471875
transcript.pyannote[309].end 3350.51159375
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 3350.78159375
transcript.pyannote[310].end 3353.00909375
transcript.pyannote[311].speaker SPEAKER_15
transcript.pyannote[311].start 3353.00909375
transcript.pyannote[311].end 3353.02596875
transcript.pyannote[312].speaker SPEAKER_15
transcript.pyannote[312].start 3353.34659375
transcript.pyannote[312].end 3359.97846875
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 3359.97846875
transcript.pyannote[313].end 3362.89784375
transcript.pyannote[314].speaker SPEAKER_10
transcript.pyannote[314].start 3363.15096875
transcript.pyannote[314].end 3379.77284375
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 3379.99221875
transcript.pyannote[315].end 3381.19034375
transcript.pyannote[316].speaker SPEAKER_15
transcript.pyannote[316].start 3381.35909375
transcript.pyannote[316].end 3381.81471875
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 3381.81471875
transcript.pyannote[317].end 3388.31159375
transcript.pyannote[318].speaker SPEAKER_10
transcript.pyannote[318].start 3388.42971875
transcript.pyannote[318].end 3393.98159375
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 3394.21784375
transcript.pyannote[319].end 3395.23034375
transcript.pyannote[320].speaker SPEAKER_10
transcript.pyannote[320].start 3395.68596875
transcript.pyannote[320].end 3397.23846875
transcript.pyannote[321].speaker SPEAKER_10
transcript.pyannote[321].start 3397.30596875
transcript.pyannote[321].end 3399.44909375
transcript.pyannote[322].speaker SPEAKER_10
transcript.pyannote[322].start 3399.63471875
transcript.pyannote[322].end 3408.44346875
transcript.pyannote[323].speaker SPEAKER_10
transcript.pyannote[323].start 3408.81471875
transcript.pyannote[323].end 3414.63659375
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 3414.68721875
transcript.pyannote[324].end 3416.20596875
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3416.83034375
transcript.pyannote[325].end 3421.94346875
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 3419.41221875
transcript.pyannote[326].end 3420.62721875
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 3421.96034375
transcript.pyannote[327].end 3441.19784375
transcript.pyannote[328].speaker SPEAKER_10
transcript.pyannote[328].start 3426.66846875
transcript.pyannote[328].end 3428.59221875
transcript.pyannote[329].speaker SPEAKER_10
transcript.pyannote[329].start 3441.19784375
transcript.pyannote[329].end 3450.39471875
transcript.pyannote[330].speaker SPEAKER_10
transcript.pyannote[330].start 3450.56346875
transcript.pyannote[330].end 3466.29096875
transcript.pyannote[331].speaker SPEAKER_10
transcript.pyannote[331].start 3466.61159375
transcript.pyannote[331].end 3468.38346875
transcript.pyannote[332].speaker SPEAKER_10
transcript.pyannote[332].start 3468.60284375
transcript.pyannote[332].end 3470.98221875
transcript.pyannote[333].speaker SPEAKER_10
transcript.pyannote[333].start 3471.21846875
transcript.pyannote[333].end 3472.29846875
transcript.pyannote[334].speaker SPEAKER_10
transcript.pyannote[334].start 3472.51784375
transcript.pyannote[334].end 3474.61034375
transcript.pyannote[335].speaker SPEAKER_10
transcript.pyannote[335].start 3474.82971875
transcript.pyannote[335].end 3477.66471875
transcript.pyannote[336].speaker SPEAKER_10
transcript.pyannote[336].start 3478.05284375
transcript.pyannote[336].end 3480.78659375
transcript.pyannote[337].speaker SPEAKER_13
transcript.pyannote[337].start 3484.34721875
transcript.pyannote[337].end 3485.42721875
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 3485.30909375
transcript.pyannote[338].end 3487.73909375
transcript.pyannote[339].speaker SPEAKER_10
transcript.pyannote[339].start 3487.87409375
transcript.pyannote[339].end 3491.08034375
transcript.pyannote[340].speaker SPEAKER_10
transcript.pyannote[340].start 3491.24909375
transcript.pyannote[340].end 3493.88159375
transcript.pyannote[341].speaker SPEAKER_13
transcript.pyannote[341].start 3494.94471875
transcript.pyannote[341].end 3498.97784375
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 3498.74159375
transcript.pyannote[342].end 3502.58909375
transcript.pyannote[343].speaker SPEAKER_10
transcript.pyannote[343].start 3502.82534375
transcript.pyannote[343].end 3503.53409375
transcript.pyannote[344].speaker SPEAKER_10
transcript.pyannote[344].start 3503.68596875
transcript.pyannote[344].end 3504.79971875
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 3505.06971875
transcript.pyannote[345].end 3507.70221875
transcript.pyannote[346].speaker SPEAKER_10
transcript.pyannote[346].start 3507.93846875
transcript.pyannote[346].end 3511.19534375
transcript.pyannote[347].speaker SPEAKER_10
transcript.pyannote[347].start 3511.60034375
transcript.pyannote[347].end 3517.05096875
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 3517.15221875
transcript.pyannote[348].end 3521.35409375
transcript.pyannote[349].speaker SPEAKER_10
transcript.pyannote[349].start 3521.77596875
transcript.pyannote[349].end 3523.86846875
transcript.pyannote[350].speaker SPEAKER_10
transcript.pyannote[350].start 3524.27346875
transcript.pyannote[350].end 3524.86409375
transcript.pyannote[351].speaker SPEAKER_10
transcript.pyannote[351].start 3525.18471875
transcript.pyannote[351].end 3527.53034375
transcript.pyannote[352].speaker SPEAKER_10
transcript.pyannote[352].start 3527.76659375
transcript.pyannote[352].end 3537.99284375
transcript.pyannote[353].speaker SPEAKER_10
transcript.pyannote[353].start 3538.24596875
transcript.pyannote[353].end 3540.27096875
transcript.pyannote[354].speaker SPEAKER_10
transcript.pyannote[354].start 3540.40596875
transcript.pyannote[354].end 3541.23284375
transcript.pyannote[355].speaker SPEAKER_10
transcript.pyannote[355].start 3541.63784375
transcript.pyannote[355].end 3543.03846875
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 3543.27471875
transcript.pyannote[356].end 3546.19409375
transcript.pyannote[357].speaker SPEAKER_10
transcript.pyannote[357].start 3546.32909375
transcript.pyannote[357].end 3546.95346875
transcript.pyannote[358].speaker SPEAKER_10
transcript.pyannote[358].start 3547.37534375
transcript.pyannote[358].end 3548.11784375
transcript.pyannote[359].speaker SPEAKER_15
transcript.pyannote[359].start 3549.34971875
transcript.pyannote[359].end 3564.58784375
transcript.pyannote[360].speaker SPEAKER_10
transcript.pyannote[360].start 3562.83284375
transcript.pyannote[360].end 3564.36846875
transcript.pyannote[361].speaker SPEAKER_10
transcript.pyannote[361].start 3564.58784375
transcript.pyannote[361].end 3566.74784375
transcript.pyannote[362].speaker SPEAKER_10
transcript.pyannote[362].start 3567.00096875
transcript.pyannote[362].end 3570.08909375
transcript.pyannote[363].speaker SPEAKER_10
transcript.pyannote[363].start 3571.01721875
transcript.pyannote[363].end 3578.66159375
transcript.pyannote[364].speaker SPEAKER_10
transcript.pyannote[364].start 3578.72909375
transcript.pyannote[364].end 3583.57221875
transcript.pyannote[365].speaker SPEAKER_10
transcript.pyannote[365].start 3583.77471875
transcript.pyannote[365].end 3584.97284375
transcript.pyannote[366].speaker SPEAKER_10
transcript.pyannote[366].start 3586.35659375
transcript.pyannote[366].end 3587.13284375
transcript.pyannote[367].speaker SPEAKER_10
transcript.pyannote[367].start 3587.74034375
transcript.pyannote[367].end 3590.08596875
transcript.pyannote[368].speaker SPEAKER_10
transcript.pyannote[368].start 3590.27159375
transcript.pyannote[368].end 3592.02659375
transcript.pyannote[369].speaker SPEAKER_10
transcript.pyannote[369].start 3592.22909375
transcript.pyannote[369].end 3597.17346875
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 3597.30846875
transcript.pyannote[370].end 3599.43471875
transcript.pyannote[371].speaker SPEAKER_10
transcript.pyannote[371].start 3600.00846875
transcript.pyannote[371].end 3601.25721875
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 3601.72971875
transcript.pyannote[372].end 3602.91096875
transcript.pyannote[373].speaker SPEAKER_10
transcript.pyannote[373].start 3603.16409375
transcript.pyannote[373].end 3604.48034375
transcript.pyannote[374].speaker SPEAKER_10
transcript.pyannote[374].start 3604.53096875
transcript.pyannote[374].end 3606.01596875
transcript.pyannote[375].speaker SPEAKER_13
transcript.pyannote[375].start 3606.01596875
transcript.pyannote[375].end 3606.03284375
transcript.pyannote[376].speaker SPEAKER_10
transcript.pyannote[376].start 3606.31971875
transcript.pyannote[376].end 3606.33659375
transcript.pyannote[377].speaker SPEAKER_13
transcript.pyannote[377].start 3606.33659375
transcript.pyannote[377].end 3606.77534375
transcript.pyannote[378].speaker SPEAKER_13
transcript.pyannote[378].start 3606.87659375
transcript.pyannote[378].end 3607.83846875
transcript.pyannote[379].speaker SPEAKER_13
transcript.pyannote[379].start 3608.69909375
transcript.pyannote[379].end 3609.08721875
transcript.pyannote[380].speaker SPEAKER_13
transcript.pyannote[380].start 3609.37409375
transcript.pyannote[380].end 3614.97659375
transcript.pyannote[381].speaker SPEAKER_10
transcript.pyannote[381].start 3614.97659375
transcript.pyannote[381].end 3629.55659375
transcript.pyannote[382].speaker SPEAKER_10
transcript.pyannote[382].start 3629.72534375
transcript.pyannote[382].end 3635.42909375
transcript.pyannote[383].speaker SPEAKER_10
transcript.pyannote[383].start 3635.51346875
transcript.pyannote[383].end 3637.63971875
transcript.pyannote[384].speaker SPEAKER_13
transcript.pyannote[384].start 3638.14596875
transcript.pyannote[384].end 3638.95596875
transcript.pyannote[385].speaker SPEAKER_13
transcript.pyannote[385].start 3639.36096875
transcript.pyannote[385].end 3643.24221875
transcript.pyannote[386].speaker SPEAKER_10
transcript.pyannote[386].start 3640.08659375
transcript.pyannote[386].end 3640.79534375
transcript.pyannote[387].speaker SPEAKER_10
transcript.pyannote[387].start 3642.66846875
transcript.pyannote[387].end 3645.03096875
transcript.pyannote[388].speaker SPEAKER_13
transcript.pyannote[388].start 3645.53721875
transcript.pyannote[388].end 3646.12784375
transcript.pyannote[389].speaker SPEAKER_13
transcript.pyannote[389].start 3646.49909375
transcript.pyannote[389].end 3646.73534375
transcript.pyannote[390].speaker SPEAKER_15
transcript.pyannote[390].start 3646.73534375
transcript.pyannote[390].end 3646.81971875
transcript.pyannote[391].speaker SPEAKER_13
transcript.pyannote[391].start 3646.81971875
transcript.pyannote[391].end 3647.03909375
transcript.pyannote[392].speaker SPEAKER_01
transcript.pyannote[392].start 3647.03909375
transcript.pyannote[392].end 3647.20784375
transcript.pyannote[393].speaker SPEAKER_10
transcript.pyannote[393].start 3647.20784375
transcript.pyannote[393].end 3649.16534375
transcript.pyannote[394].speaker SPEAKER_10
transcript.pyannote[394].start 3649.43534375
transcript.pyannote[394].end 3652.03409375
transcript.pyannote[395].speaker SPEAKER_10
transcript.pyannote[395].start 3652.23659375
transcript.pyannote[395].end 3676.09784375
transcript.pyannote[396].speaker SPEAKER_10
transcript.pyannote[396].start 3676.35096875
transcript.pyannote[396].end 3678.69659375
transcript.pyannote[397].speaker SPEAKER_15
transcript.pyannote[397].start 3679.59096875
transcript.pyannote[397].end 3682.96596875
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 3682.96596875
transcript.pyannote[398].end 3691.77471875
transcript.pyannote[399].speaker SPEAKER_10
transcript.pyannote[399].start 3691.96034375
transcript.pyannote[399].end 3693.98534375
transcript.pyannote[400].speaker SPEAKER_10
transcript.pyannote[400].start 3694.27221875
transcript.pyannote[400].end 3695.31846875
transcript.pyannote[401].speaker SPEAKER_10
transcript.pyannote[401].start 3695.55471875
transcript.pyannote[401].end 3701.42721875
transcript.pyannote[402].speaker SPEAKER_10
transcript.pyannote[402].start 3701.73096875
transcript.pyannote[402].end 3711.51846875
transcript.pyannote[403].speaker SPEAKER_10
transcript.pyannote[403].start 3711.70409375
transcript.pyannote[403].end 3735.02534375
transcript.pyannote[404].speaker SPEAKER_15
transcript.pyannote[404].start 3735.02534375
transcript.pyannote[404].end 3735.17721875
transcript.pyannote[405].speaker SPEAKER_15
transcript.pyannote[405].start 3735.81846875
transcript.pyannote[405].end 3747.96846875
transcript.pyannote[406].speaker SPEAKER_10
transcript.pyannote[406].start 3747.96846875
transcript.pyannote[406].end 3757.09784375
transcript.pyannote[407].speaker SPEAKER_10
transcript.pyannote[407].start 3757.19909375
transcript.pyannote[407].end 3763.69596875
transcript.pyannote[408].speaker SPEAKER_10
transcript.pyannote[408].start 3763.89846875
transcript.pyannote[408].end 3774.95159375
transcript.pyannote[409].speaker SPEAKER_10
transcript.pyannote[409].start 3775.00221875
transcript.pyannote[409].end 3780.50346875
transcript.pyannote[410].speaker SPEAKER_10
transcript.pyannote[410].start 3780.65534375
transcript.pyannote[410].end 3784.67159375
transcript.pyannote[411].speaker SPEAKER_10
transcript.pyannote[411].start 3784.94159375
transcript.pyannote[411].end 3785.56596875
transcript.pyannote[412].speaker SPEAKER_10
transcript.pyannote[412].start 3785.83596875
transcript.pyannote[412].end 3786.71346875
transcript.pyannote[413].speaker SPEAKER_10
transcript.pyannote[413].start 3786.94971875
transcript.pyannote[413].end 3791.25284375
transcript.pyannote[414].speaker SPEAKER_10
transcript.pyannote[414].start 3791.47221875
transcript.pyannote[414].end 3796.66971875
transcript.pyannote[415].speaker SPEAKER_15
transcript.pyannote[415].start 3797.41221875
transcript.pyannote[415].end 3798.08721875
transcript.pyannote[416].speaker SPEAKER_10
transcript.pyannote[416].start 3798.23909375
transcript.pyannote[416].end 3798.71159375
transcript.pyannote[417].speaker SPEAKER_17
transcript.pyannote[417].start 3800.83784375
transcript.pyannote[417].end 3802.45784375
transcript.pyannote[418].speaker SPEAKER_17
transcript.pyannote[418].start 3802.69409375
transcript.pyannote[418].end 3804.16221875
transcript.pyannote[419].speaker SPEAKER_17
transcript.pyannote[419].start 3805.25909375
transcript.pyannote[419].end 3806.69346875
transcript.pyannote[420].speaker SPEAKER_17
transcript.pyannote[420].start 3808.22909375
transcript.pyannote[420].end 3810.60846875
transcript.pyannote[421].speaker SPEAKER_16
transcript.pyannote[421].start 3815.08034375
transcript.pyannote[421].end 3819.56909375
transcript.pyannote[422].speaker SPEAKER_16
transcript.pyannote[422].start 3820.59846875
transcript.pyannote[422].end 3821.20596875
transcript.pyannote[423].speaker SPEAKER_16
transcript.pyannote[423].start 3822.15096875
transcript.pyannote[423].end 3823.23096875
transcript.pyannote[424].speaker SPEAKER_16
transcript.pyannote[424].start 3826.28534375
transcript.pyannote[424].end 3826.31909375
transcript.pyannote[425].speaker SPEAKER_23
transcript.pyannote[425].start 3826.31909375
transcript.pyannote[425].end 3836.17409375
transcript.pyannote[426].speaker SPEAKER_23
transcript.pyannote[426].start 3836.83221875
transcript.pyannote[426].end 3837.96284375
transcript.pyannote[427].speaker SPEAKER_15
transcript.pyannote[427].start 3837.96284375
transcript.pyannote[427].end 3838.40159375
transcript.pyannote[428].speaker SPEAKER_15
transcript.pyannote[428].start 3839.07659375
transcript.pyannote[428].end 3856.28909375
transcript.pyannote[429].speaker SPEAKER_23
transcript.pyannote[429].start 3856.28909375
transcript.pyannote[429].end 3856.96409375
transcript.pyannote[430].speaker SPEAKER_15
transcript.pyannote[430].start 3856.96409375
transcript.pyannote[430].end 3868.33784375
transcript.pyannote[431].speaker SPEAKER_15
transcript.pyannote[431].start 3868.42221875
transcript.pyannote[431].end 3873.87284375
transcript.pyannote[432].speaker SPEAKER_15
transcript.pyannote[432].start 3873.90659375
transcript.pyannote[432].end 3873.94034375
transcript.pyannote[433].speaker SPEAKER_15
transcript.pyannote[433].start 3874.34534375
transcript.pyannote[433].end 3875.03721875
transcript.pyannote[434].speaker SPEAKER_23
transcript.pyannote[434].start 3875.03721875
transcript.pyannote[434].end 3878.41221875
transcript.pyannote[435].speaker SPEAKER_22
transcript.pyannote[435].start 3879.18846875
transcript.pyannote[435].end 3888.65534375
transcript.pyannote[436].speaker SPEAKER_23
transcript.pyannote[436].start 3888.41909375
transcript.pyannote[436].end 3891.92909375
transcript.pyannote[437].speaker SPEAKER_22
transcript.pyannote[437].start 3892.13159375
transcript.pyannote[437].end 3896.08034375
transcript.pyannote[438].speaker SPEAKER_23
transcript.pyannote[438].start 3896.23221875
transcript.pyannote[438].end 3911.89221875
transcript.pyannote[439].speaker SPEAKER_23
transcript.pyannote[439].start 3912.19596875
transcript.pyannote[439].end 3913.57971875
transcript.pyannote[440].speaker SPEAKER_23
transcript.pyannote[440].start 3913.90034375
transcript.pyannote[440].end 3935.97284375
transcript.pyannote[441].speaker SPEAKER_15
transcript.pyannote[441].start 3935.97284375
transcript.pyannote[441].end 3936.09096875
transcript.pyannote[442].speaker SPEAKER_23
transcript.pyannote[442].start 3936.09096875
transcript.pyannote[442].end 3936.12471875
transcript.pyannote[443].speaker SPEAKER_23
transcript.pyannote[443].start 3936.56346875
transcript.pyannote[443].end 3936.58034375
transcript.pyannote[444].speaker SPEAKER_15
transcript.pyannote[444].start 3936.58034375
transcript.pyannote[444].end 3950.02971875
transcript.pyannote[445].speaker SPEAKER_23
transcript.pyannote[445].start 3950.02971875
transcript.pyannote[445].end 3987.18846875
transcript.pyannote[446].speaker SPEAKER_15
transcript.pyannote[446].start 3950.36721875
transcript.pyannote[446].end 3950.68784375
transcript.pyannote[447].speaker SPEAKER_25
transcript.pyannote[447].start 3950.68784375
transcript.pyannote[447].end 3950.72159375
transcript.pyannote[448].speaker SPEAKER_15
transcript.pyannote[448].start 3950.72159375
transcript.pyannote[448].end 3950.87346875
transcript.pyannote[449].speaker SPEAKER_23
transcript.pyannote[449].start 3987.61034375
transcript.pyannote[449].end 3989.83784375
transcript.pyannote[450].speaker SPEAKER_23
transcript.pyannote[450].start 3990.39471875
transcript.pyannote[450].end 3990.41159375
transcript.pyannote[451].speaker SPEAKER_15
transcript.pyannote[451].start 3990.41159375
transcript.pyannote[451].end 4003.00034375
transcript.pyannote[452].speaker SPEAKER_23
transcript.pyannote[452].start 4003.00034375
transcript.pyannote[452].end 4017.73221875
transcript.pyannote[453].speaker SPEAKER_15
transcript.pyannote[453].start 4004.45159375
transcript.pyannote[453].end 4004.50221875
transcript.pyannote[454].speaker SPEAKER_23
transcript.pyannote[454].start 4019.82471875
transcript.pyannote[454].end 4020.70221875
transcript.pyannote[455].speaker SPEAKER_01
transcript.pyannote[455].start 4021.49534375
transcript.pyannote[455].end 4021.69784375
transcript.pyannote[456].speaker SPEAKER_01
transcript.pyannote[456].start 4022.33909375
transcript.pyannote[456].end 4022.69346875
transcript.pyannote[457].speaker SPEAKER_15
transcript.pyannote[457].start 4023.13221875
transcript.pyannote[457].end 4023.46971875
transcript.pyannote[458].speaker SPEAKER_15
transcript.pyannote[458].start 4023.58784375
transcript.pyannote[458].end 4041.39096875
transcript.pyannote[459].speaker SPEAKER_23
transcript.pyannote[459].start 4039.53471875
transcript.pyannote[459].end 4049.55846875
transcript.pyannote[460].speaker SPEAKER_15
transcript.pyannote[460].start 4049.55846875
transcript.pyannote[460].end 4049.64284375
transcript.pyannote[461].speaker SPEAKER_23
transcript.pyannote[461].start 4049.64284375
transcript.pyannote[461].end 4049.96346875
transcript.pyannote[462].speaker SPEAKER_15
transcript.pyannote[462].start 4049.96346875
transcript.pyannote[462].end 4063.02471875
transcript.pyannote[463].speaker SPEAKER_23
transcript.pyannote[463].start 4063.02471875
transcript.pyannote[463].end 4082.83596875
transcript.pyannote[464].speaker SPEAKER_23
transcript.pyannote[464].start 4083.91596875
transcript.pyannote[464].end 4102.61346875
transcript.pyannote[465].speaker SPEAKER_15
transcript.pyannote[465].start 4084.13534375
transcript.pyannote[465].end 4084.82721875
transcript.pyannote[466].speaker SPEAKER_15
transcript.pyannote[466].start 4101.88784375
transcript.pyannote[466].end 4103.89596875
transcript.pyannote[467].speaker SPEAKER_23
transcript.pyannote[467].start 4103.22096875
transcript.pyannote[467].end 4103.77784375
transcript.pyannote[468].speaker SPEAKER_23
transcript.pyannote[468].start 4103.89596875
transcript.pyannote[468].end 4104.85784375
transcript.pyannote[469].speaker SPEAKER_15
transcript.pyannote[469].start 4104.85784375
transcript.pyannote[469].end 4104.92534375
transcript.pyannote[470].speaker SPEAKER_23
transcript.pyannote[470].start 4105.36409375
transcript.pyannote[470].end 4105.38096875
transcript.pyannote[471].speaker SPEAKER_15
transcript.pyannote[471].start 4105.38096875
transcript.pyannote[471].end 4111.03409375
transcript.pyannote[472].speaker SPEAKER_23
transcript.pyannote[472].start 4111.03409375
transcript.pyannote[472].end 4111.64159375
transcript.pyannote[473].speaker SPEAKER_23
transcript.pyannote[473].start 4112.33346875
transcript.pyannote[473].end 4133.64659375
transcript.pyannote[474].speaker SPEAKER_15
transcript.pyannote[474].start 4112.40096875
transcript.pyannote[474].end 4114.57784375
transcript.pyannote[475].speaker SPEAKER_23
transcript.pyannote[475].start 4133.83221875
transcript.pyannote[475].end 4143.67034375
transcript.pyannote[476].speaker SPEAKER_15
transcript.pyannote[476].start 4143.67034375
transcript.pyannote[476].end 4143.75471875
transcript.pyannote[477].speaker SPEAKER_23
transcript.pyannote[477].start 4143.75471875
transcript.pyannote[477].end 4143.78846875
transcript.pyannote[478].speaker SPEAKER_15
transcript.pyannote[478].start 4143.78846875
transcript.pyannote[478].end 4154.94284375
transcript.pyannote[479].speaker SPEAKER_15
transcript.pyannote[479].start 4155.31409375
transcript.pyannote[479].end 4160.24159375
transcript.pyannote[480].speaker SPEAKER_15
transcript.pyannote[480].start 4160.47784375
transcript.pyannote[480].end 4166.78909375
transcript.pyannote[481].speaker SPEAKER_23
transcript.pyannote[481].start 4164.74721875
transcript.pyannote[481].end 4165.54034375
transcript.pyannote[482].speaker SPEAKER_15
transcript.pyannote[482].start 4167.04221875
transcript.pyannote[482].end 4167.41346875
transcript.pyannote[483].speaker SPEAKER_15
transcript.pyannote[483].start 4167.73409375
transcript.pyannote[483].end 4172.25659375
transcript.pyannote[484].speaker SPEAKER_23
transcript.pyannote[484].start 4171.42971875
transcript.pyannote[484].end 4181.33534375
transcript.pyannote[485].speaker SPEAKER_23
transcript.pyannote[485].start 4181.68971875
transcript.pyannote[485].end 4188.96284375
transcript.pyannote[486].speaker SPEAKER_15
transcript.pyannote[486].start 4188.96284375
transcript.pyannote[486].end 4189.03034375
transcript.pyannote[487].speaker SPEAKER_23
transcript.pyannote[487].start 4189.03034375
transcript.pyannote[487].end 4192.72596875
transcript.pyannote[488].speaker SPEAKER_15
transcript.pyannote[488].start 4189.60409375
transcript.pyannote[488].end 4191.96659375
transcript.pyannote[489].speaker SPEAKER_17
transcript.pyannote[489].start 4193.75534375
transcript.pyannote[489].end 4195.67909375
transcript.pyannote[490].speaker SPEAKER_17
transcript.pyannote[490].start 4196.77596875
transcript.pyannote[490].end 4199.18909375
transcript.pyannote[491].speaker SPEAKER_17
transcript.pyannote[491].start 4200.30284375
transcript.pyannote[491].end 4201.24784375
transcript.pyannote[492].speaker SPEAKER_19
transcript.pyannote[492].start 4207.67721875
transcript.pyannote[492].end 4211.52471875
transcript.pyannote[493].speaker SPEAKER_17
transcript.pyannote[493].start 4212.14909375
transcript.pyannote[493].end 4213.16159375
transcript.pyannote[494].speaker SPEAKER_15
transcript.pyannote[494].start 4217.93721875
transcript.pyannote[494].end 4218.62909375
transcript.pyannote[495].speaker SPEAKER_19
transcript.pyannote[495].start 4218.62909375
transcript.pyannote[495].end 4218.66284375
transcript.pyannote[496].speaker SPEAKER_19
transcript.pyannote[496].start 4218.86534375
transcript.pyannote[496].end 4288.96409375
transcript.pyannote[497].speaker SPEAKER_15
transcript.pyannote[497].start 4288.99784375
transcript.pyannote[497].end 4293.99284375
transcript.pyannote[498].speaker SPEAKER_15
transcript.pyannote[498].start 4294.06034375
transcript.pyannote[498].end 4295.12346875
transcript.pyannote[499].speaker SPEAKER_15
transcript.pyannote[499].start 4295.42721875
transcript.pyannote[499].end 4310.63159375
transcript.pyannote[500].speaker SPEAKER_15
transcript.pyannote[500].start 4310.86784375
transcript.pyannote[500].end 4317.71909375
transcript.pyannote[501].speaker SPEAKER_15
transcript.pyannote[501].start 4317.82034375
transcript.pyannote[501].end 4321.38096875
transcript.pyannote[502].speaker SPEAKER_19
transcript.pyannote[502].start 4322.14034375
transcript.pyannote[502].end 4411.81409375
transcript.pyannote[503].speaker SPEAKER_15
transcript.pyannote[503].start 4412.06721875
transcript.pyannote[503].end 4419.45846875
transcript.pyannote[504].speaker SPEAKER_15
transcript.pyannote[504].start 4419.62721875
transcript.pyannote[504].end 4423.57596875
transcript.pyannote[505].speaker SPEAKER_15
transcript.pyannote[505].start 4423.71096875
transcript.pyannote[505].end 4431.15284375
transcript.pyannote[506].speaker SPEAKER_19
transcript.pyannote[506].start 4431.79409375
transcript.pyannote[506].end 4470.97784375
transcript.pyannote[507].speaker SPEAKER_15
transcript.pyannote[507].start 4470.97784375
transcript.pyannote[507].end 4472.14221875
transcript.pyannote[508].speaker SPEAKER_19
transcript.pyannote[508].start 4472.14221875
transcript.pyannote[508].end 4472.15909375
transcript.pyannote[509].speaker SPEAKER_15
transcript.pyannote[509].start 4472.37846875
transcript.pyannote[509].end 4497.03284375
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 4497.03284375
transcript.pyannote[510].end 4543.48971875
transcript.pyannote[511].speaker SPEAKER_17
transcript.pyannote[511].start 4545.71721875
transcript.pyannote[511].end 4547.28659375
transcript.pyannote[512].speaker SPEAKER_17
transcript.pyannote[512].start 4547.84346875
transcript.pyannote[512].end 4551.01596875
transcript.pyannote[513].speaker SPEAKER_12
transcript.pyannote[513].start 4554.50909375
transcript.pyannote[513].end 4557.81659375
transcript.pyannote[514].speaker SPEAKER_12
transcript.pyannote[514].start 4559.58846875
transcript.pyannote[514].end 4561.02284375
transcript.pyannote[515].speaker SPEAKER_12
transcript.pyannote[515].start 4561.30971875
transcript.pyannote[515].end 4562.76096875
transcript.pyannote[516].speaker SPEAKER_17
transcript.pyannote[516].start 4563.60471875
transcript.pyannote[516].end 4564.11096875
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 4565.14034375
transcript.pyannote[517].end 4566.03471875
transcript.pyannote[518].speaker SPEAKER_12
transcript.pyannote[518].start 4566.59159375
transcript.pyannote[518].end 4568.27909375
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 4566.74346875
transcript.pyannote[519].end 4567.30034375
transcript.pyannote[520].speaker SPEAKER_12
transcript.pyannote[520].start 4568.95409375
transcript.pyannote[520].end 4569.84846875
transcript.pyannote[521].speaker SPEAKER_17
transcript.pyannote[521].start 4569.39284375
transcript.pyannote[521].end 4570.38846875
transcript.pyannote[522].speaker SPEAKER_17
transcript.pyannote[522].start 4570.99596875
transcript.pyannote[522].end 4572.86909375
transcript.pyannote[523].speaker SPEAKER_12
transcript.pyannote[523].start 4573.20659375
transcript.pyannote[523].end 4575.01221875
transcript.pyannote[524].speaker SPEAKER_12
transcript.pyannote[524].start 4575.51846875
transcript.pyannote[524].end 4607.64846875
transcript.pyannote[525].speaker SPEAKER_12
transcript.pyannote[525].start 4607.83409375
transcript.pyannote[525].end 4621.19909375
transcript.pyannote[526].speaker SPEAKER_15
transcript.pyannote[526].start 4621.35096875
transcript.pyannote[526].end 4629.82221875
transcript.pyannote[527].speaker SPEAKER_15
transcript.pyannote[527].start 4630.00784375
transcript.pyannote[527].end 4638.02346875
transcript.pyannote[528].speaker SPEAKER_12
transcript.pyannote[528].start 4638.02346875
transcript.pyannote[528].end 4642.86659375
transcript.pyannote[529].speaker SPEAKER_12
transcript.pyannote[529].start 4643.27159375
transcript.pyannote[529].end 4646.00534375
transcript.pyannote[530].speaker SPEAKER_12
transcript.pyannote[530].start 4646.20784375
transcript.pyannote[530].end 4657.44659375
transcript.pyannote[531].speaker SPEAKER_15
transcript.pyannote[531].start 4657.91909375
transcript.pyannote[531].end 4672.85346875
transcript.pyannote[532].speaker SPEAKER_12
transcript.pyannote[532].start 4673.08971875
transcript.pyannote[532].end 4734.07596875
transcript.pyannote[533].speaker SPEAKER_15
transcript.pyannote[533].start 4675.18221875
transcript.pyannote[533].end 4675.53659375
transcript.pyannote[534].speaker SPEAKER_15
transcript.pyannote[534].start 4688.17596875
transcript.pyannote[534].end 4689.61034375
transcript.pyannote[535].speaker SPEAKER_15
transcript.pyannote[535].start 4703.05971875
transcript.pyannote[535].end 4704.00471875
transcript.pyannote[536].speaker SPEAKER_15
transcript.pyannote[536].start 4706.21534375
transcript.pyannote[536].end 4707.07596875
transcript.pyannote[537].speaker SPEAKER_15
transcript.pyannote[537].start 4712.32409375
transcript.pyannote[537].end 4713.11721875
transcript.pyannote[538].speaker SPEAKER_15
transcript.pyannote[538].start 4734.70034375
transcript.pyannote[538].end 4742.27721875
transcript.pyannote[539].speaker SPEAKER_15
transcript.pyannote[539].start 4742.69909375
transcript.pyannote[539].end 4748.47034375
transcript.pyannote[540].speaker SPEAKER_15
transcript.pyannote[540].start 4748.99346875
transcript.pyannote[540].end 4750.14096875
transcript.pyannote[541].speaker SPEAKER_15
transcript.pyannote[541].start 4750.30971875
transcript.pyannote[541].end 4753.49909375
transcript.pyannote[542].speaker SPEAKER_15
transcript.pyannote[542].start 4753.70159375
transcript.pyannote[542].end 4756.58721875
transcript.pyannote[543].speaker SPEAKER_15
transcript.pyannote[543].start 4756.90784375
transcript.pyannote[543].end 4764.55221875
transcript.pyannote[544].speaker SPEAKER_15
transcript.pyannote[544].start 4765.02471875
transcript.pyannote[544].end 4781.83221875
transcript.pyannote[545].speaker SPEAKER_15
transcript.pyannote[545].start 4782.20346875
transcript.pyannote[545].end 4802.89221875
transcript.pyannote[546].speaker SPEAKER_15
transcript.pyannote[546].start 4803.38159375
transcript.pyannote[546].end 4819.76721875
transcript.pyannote[547].speaker SPEAKER_15
transcript.pyannote[547].start 4820.00346875
transcript.pyannote[547].end 4825.28534375
transcript.pyannote[548].speaker SPEAKER_12
transcript.pyannote[548].start 4825.48784375
transcript.pyannote[548].end 4828.67721875
transcript.pyannote[549].speaker SPEAKER_12
transcript.pyannote[549].start 4829.13284375
transcript.pyannote[549].end 4831.05659375
transcript.pyannote[550].speaker SPEAKER_12
transcript.pyannote[550].start 4831.41096875
transcript.pyannote[550].end 4845.02909375
transcript.pyannote[551].speaker SPEAKER_12
transcript.pyannote[551].start 4845.40034375
transcript.pyannote[551].end 4854.86721875
transcript.pyannote[552].speaker SPEAKER_12
transcript.pyannote[552].start 4854.95159375
transcript.pyannote[552].end 4859.81159375
transcript.pyannote[553].speaker SPEAKER_12
transcript.pyannote[553].start 4860.28409375
transcript.pyannote[553].end 4862.64659375
transcript.pyannote[554].speaker SPEAKER_12
transcript.pyannote[554].start 4863.57471875
transcript.pyannote[554].end 4879.69034375
transcript.pyannote[555].speaker SPEAKER_12
transcript.pyannote[555].start 4879.96034375
transcript.pyannote[555].end 4934.34846875
transcript.pyannote[556].speaker SPEAKER_18
transcript.pyannote[556].start 4883.25096875
transcript.pyannote[556].end 4883.67284375
transcript.pyannote[557].speaker SPEAKER_15
transcript.pyannote[557].start 4934.53409375
transcript.pyannote[557].end 4938.56721875
transcript.pyannote[558].speaker SPEAKER_15
transcript.pyannote[558].start 4939.12409375
transcript.pyannote[558].end 4953.50159375
transcript.pyannote[559].speaker SPEAKER_12
transcript.pyannote[559].start 4953.87284375
transcript.pyannote[559].end 4959.82971875
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 4959.82971875
transcript.pyannote[560].end 4960.20096875
transcript.pyannote[561].speaker SPEAKER_12
transcript.pyannote[561].start 4960.13346875
transcript.pyannote[561].end 4961.34846875
transcript.pyannote[562].speaker SPEAKER_12
transcript.pyannote[562].start 4961.39909375
transcript.pyannote[562].end 4961.41596875
transcript.pyannote[563].speaker SPEAKER_12
transcript.pyannote[563].start 4961.43284375
transcript.pyannote[563].end 4961.46659375
transcript.pyannote[564].speaker SPEAKER_15
transcript.pyannote[564].start 4961.46659375
transcript.pyannote[564].end 4963.47471875
transcript.pyannote[565].speaker SPEAKER_12
transcript.pyannote[565].start 4961.60159375
transcript.pyannote[565].end 4963.49159375
transcript.pyannote[566].speaker SPEAKER_15
transcript.pyannote[566].start 4963.49159375
transcript.pyannote[566].end 4967.38971875
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 4967.87909375
transcript.pyannote[567].end 4970.93346875
transcript.pyannote[568].speaker SPEAKER_12
transcript.pyannote[568].start 4970.93346875
transcript.pyannote[568].end 4975.38846875
transcript.pyannote[569].speaker SPEAKER_15
transcript.pyannote[569].start 4975.81034375
transcript.pyannote[569].end 4979.69159375
transcript.pyannote[570].speaker SPEAKER_12
transcript.pyannote[570].start 4976.75534375
transcript.pyannote[570].end 4977.59909375
transcript.pyannote[571].speaker SPEAKER_12
transcript.pyannote[571].start 4979.57346875
transcript.pyannote[571].end 4982.20596875
transcript.pyannote[572].speaker SPEAKER_12
transcript.pyannote[572].start 4982.42534375
transcript.pyannote[572].end 4999.68846875
transcript.pyannote[573].speaker SPEAKER_15
transcript.pyannote[573].start 4982.59409375
transcript.pyannote[573].end 4983.08346875
transcript.pyannote[574].speaker SPEAKER_17
transcript.pyannote[574].start 4997.42721875
transcript.pyannote[574].end 4997.68034375
transcript.pyannote[575].speaker SPEAKER_17
transcript.pyannote[575].start 4997.69721875
transcript.pyannote[575].end 4997.89971875
transcript.pyannote[576].speaker SPEAKER_15
transcript.pyannote[576].start 4997.89971875
transcript.pyannote[576].end 4997.91659375
transcript.pyannote[577].speaker SPEAKER_17
transcript.pyannote[577].start 4998.87846875
transcript.pyannote[577].end 5001.03846875
transcript.pyannote[578].speaker SPEAKER_17
transcript.pyannote[578].start 5001.19034375
transcript.pyannote[578].end 5003.78909375
transcript.pyannote[579].speaker SPEAKER_17
transcript.pyannote[579].start 5004.51471875
transcript.pyannote[579].end 5008.14284375
transcript.pyannote[580].speaker SPEAKER_11
transcript.pyannote[580].start 5016.17534375
transcript.pyannote[580].end 5016.95159375
transcript.pyannote[581].speaker SPEAKER_11
transcript.pyannote[581].start 5017.30596875
transcript.pyannote[581].end 5020.49534375
transcript.pyannote[582].speaker SPEAKER_11
transcript.pyannote[582].start 5021.15346875
transcript.pyannote[582].end 5021.17034375
transcript.pyannote[583].speaker SPEAKER_17
transcript.pyannote[583].start 5021.17034375
transcript.pyannote[583].end 5022.21659375
transcript.pyannote[584].speaker SPEAKER_17
transcript.pyannote[584].start 5026.58721875
transcript.pyannote[584].end 5026.97534375
transcript.pyannote[585].speaker SPEAKER_11
transcript.pyannote[585].start 5026.97534375
transcript.pyannote[585].end 5087.47221875
transcript.pyannote[586].speaker SPEAKER_11
transcript.pyannote[586].start 5088.19784375
transcript.pyannote[586].end 5093.02409375
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 5093.02409375
transcript.pyannote[587].end 5131.78596875
transcript.pyannote[588].speaker SPEAKER_11
transcript.pyannote[588].start 5130.58784375
transcript.pyannote[588].end 5162.24534375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 5161.28346875
transcript.pyannote[589].end 5162.09346875
transcript.pyannote[590].speaker SPEAKER_15
transcript.pyannote[590].start 5162.24534375
transcript.pyannote[590].end 5164.59096875
transcript.pyannote[591].speaker SPEAKER_15
transcript.pyannote[591].start 5164.70909375
transcript.pyannote[591].end 5174.53034375
transcript.pyannote[592].speaker SPEAKER_11
transcript.pyannote[592].start 5172.38721875
transcript.pyannote[592].end 5190.20721875
transcript.pyannote[593].speaker SPEAKER_11
transcript.pyannote[593].start 5190.30846875
transcript.pyannote[593].end 5217.57846875
transcript.pyannote[594].speaker SPEAKER_11
transcript.pyannote[594].start 5218.32096875
transcript.pyannote[594].end 5234.53784375
transcript.pyannote[595].speaker SPEAKER_15
transcript.pyannote[595].start 5234.87534375
transcript.pyannote[595].end 5241.87846875
transcript.pyannote[596].speaker SPEAKER_18
transcript.pyannote[596].start 5241.87846875
transcript.pyannote[596].end 5242.33409375
transcript.pyannote[597].speaker SPEAKER_15
transcript.pyannote[597].start 5242.33409375
transcript.pyannote[597].end 5247.53159375
transcript.pyannote[598].speaker SPEAKER_18
transcript.pyannote[598].start 5247.53159375
transcript.pyannote[598].end 5247.97034375
transcript.pyannote[599].speaker SPEAKER_15
transcript.pyannote[599].start 5247.97034375
transcript.pyannote[599].end 5269.40159375
transcript.pyannote[600].speaker SPEAKER_15
transcript.pyannote[600].start 5269.65471875
transcript.pyannote[600].end 5272.84409375
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 5273.13096875
transcript.pyannote[601].end 5275.89846875
transcript.pyannote[602].speaker SPEAKER_15
transcript.pyannote[602].start 5276.25284375
transcript.pyannote[602].end 5276.99534375
transcript.pyannote[603].speaker SPEAKER_15
transcript.pyannote[603].start 5277.16409375
transcript.pyannote[603].end 5277.45096875
transcript.pyannote[604].speaker SPEAKER_15
transcript.pyannote[604].start 5278.07534375
transcript.pyannote[604].end 5287.76159375
transcript.pyannote[605].speaker SPEAKER_11
transcript.pyannote[605].start 5285.26409375
transcript.pyannote[605].end 5309.27721875
transcript.pyannote[606].speaker SPEAKER_11
transcript.pyannote[606].start 5309.36159375
transcript.pyannote[606].end 5323.09784375
transcript.pyannote[607].speaker SPEAKER_11
transcript.pyannote[607].start 5323.36784375
transcript.pyannote[607].end 5334.03284375
transcript.pyannote[608].speaker SPEAKER_15
transcript.pyannote[608].start 5334.03284375
transcript.pyannote[608].end 5334.13409375
transcript.pyannote[609].speaker SPEAKER_15
transcript.pyannote[609].start 5335.46721875
transcript.pyannote[609].end 5340.95159375
transcript.pyannote[610].speaker SPEAKER_15
transcript.pyannote[610].start 5341.55909375
transcript.pyannote[610].end 5343.38159375
transcript.pyannote[611].speaker SPEAKER_15
transcript.pyannote[611].start 5343.60096875
transcript.pyannote[611].end 5368.96409375
transcript.pyannote[612].speaker SPEAKER_18
transcript.pyannote[612].start 5348.47784375
transcript.pyannote[612].end 5348.79846875
transcript.pyannote[613].speaker SPEAKER_15
transcript.pyannote[613].start 5369.25096875
transcript.pyannote[613].end 5375.57909375
transcript.pyannote[614].speaker SPEAKER_15
transcript.pyannote[614].start 5375.81534375
transcript.pyannote[614].end 5376.62534375
transcript.pyannote[615].speaker SPEAKER_11
transcript.pyannote[615].start 5376.62534375
transcript.pyannote[615].end 5407.01721875
transcript.pyannote[616].speaker SPEAKER_15
transcript.pyannote[616].start 5376.64221875
transcript.pyannote[616].end 5378.38034375
transcript.pyannote[617].speaker SPEAKER_00
transcript.pyannote[617].start 5390.93534375
transcript.pyannote[617].end 5390.95221875
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 5390.95221875
transcript.pyannote[618].end 5392.01534375
transcript.pyannote[619].speaker SPEAKER_18
transcript.pyannote[619].start 5392.01534375
transcript.pyannote[619].end 5392.15034375
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 5392.15034375
transcript.pyannote[620].end 5392.38659375
transcript.pyannote[621].speaker SPEAKER_18
transcript.pyannote[621].start 5392.38659375
transcript.pyannote[621].end 5392.40346875
transcript.pyannote[622].speaker SPEAKER_18
transcript.pyannote[622].start 5393.16284375
transcript.pyannote[622].end 5393.17971875
transcript.pyannote[623].speaker SPEAKER_01
transcript.pyannote[623].start 5393.17971875
transcript.pyannote[623].end 5393.55096875
transcript.pyannote[624].speaker SPEAKER_01
transcript.pyannote[624].start 5393.63534375
transcript.pyannote[624].end 5393.70284375
transcript.pyannote[625].speaker SPEAKER_18
transcript.pyannote[625].start 5393.70284375
transcript.pyannote[625].end 5393.71971875
transcript.pyannote[626].speaker SPEAKER_15
transcript.pyannote[626].start 5407.01721875
transcript.pyannote[626].end 5407.03409375
transcript.pyannote[627].speaker SPEAKER_11
transcript.pyannote[627].start 5407.54034375
transcript.pyannote[627].end 5408.02971875
transcript.pyannote[628].speaker SPEAKER_15
transcript.pyannote[628].start 5408.02971875
transcript.pyannote[628].end 5423.79096875
transcript.pyannote[629].speaker SPEAKER_11
transcript.pyannote[629].start 5423.79096875
transcript.pyannote[629].end 5433.88221875
transcript.pyannote[630].speaker SPEAKER_17
transcript.pyannote[630].start 5435.33346875
transcript.pyannote[630].end 5437.22346875
transcript.pyannote[631].speaker SPEAKER_17
transcript.pyannote[631].start 5437.57784375
transcript.pyannote[631].end 5441.05409375
transcript.pyannote[632].speaker SPEAKER_05
transcript.pyannote[632].start 5453.79471875
transcript.pyannote[632].end 5456.27534375
transcript.pyannote[633].speaker SPEAKER_17
transcript.pyannote[633].start 5457.86159375
transcript.pyannote[633].end 5458.65471875
transcript.pyannote[634].speaker SPEAKER_17
transcript.pyannote[634].start 5462.48534375
transcript.pyannote[634].end 5462.51909375
transcript.pyannote[635].speaker SPEAKER_05
transcript.pyannote[635].start 5462.51909375
transcript.pyannote[635].end 5463.17721875
transcript.pyannote[636].speaker SPEAKER_14
transcript.pyannote[636].start 5463.17721875
transcript.pyannote[636].end 5463.21096875
transcript.pyannote[637].speaker SPEAKER_05
transcript.pyannote[637].start 5463.49784375
transcript.pyannote[637].end 5475.29346875
transcript.pyannote[638].speaker SPEAKER_05
transcript.pyannote[638].start 5475.95159375
transcript.pyannote[638].end 5480.23784375
transcript.pyannote[639].speaker SPEAKER_05
transcript.pyannote[639].start 5480.59221875
transcript.pyannote[639].end 5484.65909375
transcript.pyannote[640].speaker SPEAKER_05
transcript.pyannote[640].start 5485.43534375
transcript.pyannote[640].end 5498.29409375
transcript.pyannote[641].speaker SPEAKER_05
transcript.pyannote[641].start 5498.76659375
transcript.pyannote[641].end 5505.31409375
transcript.pyannote[642].speaker SPEAKER_05
transcript.pyannote[642].start 5505.41534375
transcript.pyannote[642].end 5506.17471875
transcript.pyannote[643].speaker SPEAKER_15
transcript.pyannote[643].start 5506.54596875
transcript.pyannote[643].end 5511.72659375
transcript.pyannote[644].speaker SPEAKER_15
transcript.pyannote[644].start 5512.41846875
transcript.pyannote[644].end 5514.73034375
transcript.pyannote[645].speaker SPEAKER_15
transcript.pyannote[645].start 5515.06784375
transcript.pyannote[645].end 5519.40471875
transcript.pyannote[646].speaker SPEAKER_15
transcript.pyannote[646].start 5519.94471875
transcript.pyannote[646].end 5524.50096875
transcript.pyannote[647].speaker SPEAKER_15
transcript.pyannote[647].start 5524.85534375
transcript.pyannote[647].end 5525.81721875
transcript.pyannote[648].speaker SPEAKER_05
transcript.pyannote[648].start 5524.87221875
transcript.pyannote[648].end 5526.34034375
transcript.pyannote[649].speaker SPEAKER_15
transcript.pyannote[649].start 5525.83409375
transcript.pyannote[649].end 5525.86784375
transcript.pyannote[650].speaker SPEAKER_15
transcript.pyannote[650].start 5525.95221875
transcript.pyannote[650].end 5529.56346875
transcript.pyannote[651].speaker SPEAKER_15
transcript.pyannote[651].start 5529.93471875
transcript.pyannote[651].end 5533.27596875
transcript.pyannote[652].speaker SPEAKER_15
transcript.pyannote[652].start 5533.49534375
transcript.pyannote[652].end 5536.11096875
transcript.pyannote[653].speaker SPEAKER_15
transcript.pyannote[653].start 5536.24596875
transcript.pyannote[653].end 5539.73909375
transcript.pyannote[654].speaker SPEAKER_15
transcript.pyannote[654].start 5540.11034375
transcript.pyannote[654].end 5544.78471875
transcript.pyannote[655].speaker SPEAKER_15
transcript.pyannote[655].start 5545.25721875
transcript.pyannote[655].end 5552.42909375
transcript.pyannote[656].speaker SPEAKER_15
transcript.pyannote[656].start 5552.64846875
transcript.pyannote[656].end 5553.74534375
transcript.pyannote[657].speaker SPEAKER_15
transcript.pyannote[657].start 5554.11659375
transcript.pyannote[657].end 5562.14909375
transcript.pyannote[658].speaker SPEAKER_05
transcript.pyannote[658].start 5561.65971875
transcript.pyannote[658].end 5578.97346875
transcript.pyannote[659].speaker SPEAKER_15
transcript.pyannote[659].start 5578.97346875
transcript.pyannote[659].end 5579.12534375
transcript.pyannote[660].speaker SPEAKER_05
transcript.pyannote[660].start 5579.12534375
transcript.pyannote[660].end 5579.19284375
transcript.pyannote[661].speaker SPEAKER_15
transcript.pyannote[661].start 5579.63159375
transcript.pyannote[661].end 5583.76596875
transcript.pyannote[662].speaker SPEAKER_15
transcript.pyannote[662].start 5584.33971875
transcript.pyannote[662].end 5587.95096875
transcript.pyannote[663].speaker SPEAKER_15
transcript.pyannote[663].start 5588.35596875
transcript.pyannote[663].end 5589.08159375
transcript.pyannote[664].speaker SPEAKER_15
transcript.pyannote[664].start 5589.28409375
transcript.pyannote[664].end 5604.53909375
transcript.pyannote[665].speaker SPEAKER_15
transcript.pyannote[665].start 5604.82596875
transcript.pyannote[665].end 5620.23284375
transcript.pyannote[666].speaker SPEAKER_15
transcript.pyannote[666].start 5620.53659375
transcript.pyannote[666].end 5621.17784375
transcript.pyannote[667].speaker SPEAKER_15
transcript.pyannote[667].start 5621.27909375
transcript.pyannote[667].end 5624.08034375
transcript.pyannote[668].speaker SPEAKER_15
transcript.pyannote[668].start 5624.63721875
transcript.pyannote[668].end 5625.64971875
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 5625.07596875
transcript.pyannote[669].end 5628.38346875
transcript.pyannote[670].speaker SPEAKER_15
transcript.pyannote[670].start 5628.56909375
transcript.pyannote[670].end 5629.83471875
transcript.pyannote[671].speaker SPEAKER_05
transcript.pyannote[671].start 5629.83471875
transcript.pyannote[671].end 5635.97721875
transcript.pyannote[672].speaker SPEAKER_15
transcript.pyannote[672].start 5635.97721875
transcript.pyannote[672].end 5636.02784375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 5636.02784375
transcript.pyannote[673].end 5643.43596875
transcript.pyannote[674].speaker SPEAKER_15
transcript.pyannote[674].start 5637.69846875
transcript.pyannote[674].end 5640.29721875
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 5640.63471875
transcript.pyannote[675].end 5640.66846875
transcript.pyannote[676].speaker SPEAKER_15
transcript.pyannote[676].start 5640.66846875
transcript.pyannote[676].end 5640.85409375
transcript.pyannote[677].speaker SPEAKER_05
transcript.pyannote[677].start 5643.63846875
transcript.pyannote[677].end 5648.95409375
transcript.pyannote[678].speaker SPEAKER_15
transcript.pyannote[678].start 5643.70596875
transcript.pyannote[678].end 5648.38034375
transcript.pyannote[679].speaker SPEAKER_15
transcript.pyannote[679].start 5648.95409375
transcript.pyannote[679].end 5648.97096875
transcript.pyannote[680].speaker SPEAKER_15
transcript.pyannote[680].start 5649.51096875
transcript.pyannote[680].end 5651.26596875
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 5651.75534375
transcript.pyannote[681].end 5652.85221875
transcript.pyannote[682].speaker SPEAKER_05
transcript.pyannote[682].start 5653.08846875
transcript.pyannote[682].end 5680.69596875
transcript.pyannote[683].speaker SPEAKER_15
transcript.pyannote[683].start 5681.45534375
transcript.pyannote[683].end 5686.58534375
transcript.pyannote[684].speaker SPEAKER_18
transcript.pyannote[684].start 5686.61909375
transcript.pyannote[684].end 5687.04096875
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 5686.97346875
transcript.pyannote[685].end 5687.86784375
transcript.pyannote[686].speaker SPEAKER_15
transcript.pyannote[686].start 5688.30659375
transcript.pyannote[686].end 5692.50846875
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 5692.66034375
transcript.pyannote[687].end 5697.16596875
transcript.pyannote[688].speaker SPEAKER_15
transcript.pyannote[688].start 5697.95909375
transcript.pyannote[688].end 5698.80284375
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 5698.97159375
transcript.pyannote[689].end 5699.52846875
transcript.pyannote[690].speaker SPEAKER_15
transcript.pyannote[690].start 5700.32159375
transcript.pyannote[690].end 5723.86221875
transcript.pyannote[691].speaker SPEAKER_15
transcript.pyannote[691].start 5724.14909375
transcript.pyannote[691].end 5727.54096875
transcript.pyannote[692].speaker SPEAKER_15
transcript.pyannote[692].start 5727.69284375
transcript.pyannote[692].end 5741.09159375
transcript.pyannote[693].speaker SPEAKER_15
transcript.pyannote[693].start 5742.39096875
transcript.pyannote[693].end 5744.38221875
transcript.pyannote[694].speaker SPEAKER_15
transcript.pyannote[694].start 5744.78721875
transcript.pyannote[694].end 5761.84784375
transcript.pyannote[695].speaker SPEAKER_05
transcript.pyannote[695].start 5760.64971875
transcript.pyannote[695].end 5778.48659375
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 5763.23159375
transcript.pyannote[696].end 5763.24846875
transcript.pyannote[697].speaker SPEAKER_15
transcript.pyannote[697].start 5774.97659375
transcript.pyannote[697].end 5774.99346875
transcript.pyannote[698].speaker SPEAKER_09
transcript.pyannote[698].start 5774.99346875
transcript.pyannote[698].end 5775.01034375
transcript.pyannote[699].speaker SPEAKER_07
transcript.pyannote[699].start 5775.01034375
transcript.pyannote[699].end 5775.02721875
transcript.pyannote[700].speaker SPEAKER_15
transcript.pyannote[700].start 5775.02721875
transcript.pyannote[700].end 5775.48284375
transcript.pyannote[701].speaker SPEAKER_05
transcript.pyannote[701].start 5778.73971875
transcript.pyannote[701].end 5779.98846875
transcript.pyannote[702].speaker SPEAKER_15
transcript.pyannote[702].start 5779.41471875
transcript.pyannote[702].end 5808.70971875
transcript.pyannote[703].speaker SPEAKER_05
transcript.pyannote[703].start 5807.83221875
transcript.pyannote[703].end 5849.95221875
transcript.pyannote[704].speaker SPEAKER_18
transcript.pyannote[704].start 5818.76721875
transcript.pyannote[704].end 5818.91909375
transcript.pyannote[705].speaker SPEAKER_24
transcript.pyannote[705].start 5834.84909375
transcript.pyannote[705].end 5836.46909375
transcript.pyannote[706].speaker SPEAKER_09
transcript.pyannote[706].start 5846.74596875
transcript.pyannote[706].end 5846.76284375
transcript.pyannote[707].speaker SPEAKER_15
transcript.pyannote[707].start 5846.76284375
transcript.pyannote[707].end 5847.35346875
transcript.pyannote[708].speaker SPEAKER_15
transcript.pyannote[708].start 5849.54721875
transcript.pyannote[708].end 5856.85409375
transcript.pyannote[709].speaker SPEAKER_15
transcript.pyannote[709].start 5857.24221875
transcript.pyannote[709].end 5876.31096875
transcript.pyannote[710].speaker SPEAKER_02
transcript.pyannote[710].start 5862.11909375
transcript.pyannote[710].end 5862.59159375
transcript.pyannote[711].speaker SPEAKER_15
transcript.pyannote[711].start 5876.63159375
transcript.pyannote[711].end 5877.00284375
transcript.pyannote[712].speaker SPEAKER_15
transcript.pyannote[712].start 5877.35721875
transcript.pyannote[712].end 5886.14909375
transcript.pyannote[713].speaker SPEAKER_15
transcript.pyannote[713].start 5886.41909375
transcript.pyannote[713].end 5887.07721875
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 5887.14471875
transcript.pyannote[714].end 5889.92909375
transcript.pyannote[715].speaker SPEAKER_15
transcript.pyannote[715].start 5890.03034375
transcript.pyannote[715].end 5894.75534375
transcript.pyannote[716].speaker SPEAKER_15
transcript.pyannote[716].start 5895.02534375
transcript.pyannote[716].end 5901.99471875
transcript.pyannote[717].speaker SPEAKER_05
transcript.pyannote[717].start 5902.24784375
transcript.pyannote[717].end 5958.30659375
transcript.pyannote[718].speaker SPEAKER_15
transcript.pyannote[718].start 5907.00659375
transcript.pyannote[718].end 5907.39471875
transcript.pyannote[719].speaker SPEAKER_18
transcript.pyannote[719].start 5939.71034375
transcript.pyannote[719].end 5940.68909375
transcript.pyannote[720].speaker SPEAKER_15
transcript.pyannote[720].start 5960.09534375
transcript.pyannote[720].end 5960.46659375
transcript.pyannote[721].speaker SPEAKER_15
transcript.pyannote[721].start 5960.95596875
transcript.pyannote[721].end 5961.54659375
transcript.pyannote[722].speaker SPEAKER_15
transcript.pyannote[722].start 5961.95159375
transcript.pyannote[722].end 5966.60909375
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 5967.55409375
transcript.pyannote[723].end 5969.96721875
transcript.pyannote[724].speaker SPEAKER_05
transcript.pyannote[724].start 5969.96721875
transcript.pyannote[724].end 5970.08534375
transcript.pyannote[725].speaker SPEAKER_15
transcript.pyannote[725].start 5970.08534375
transcript.pyannote[725].end 5970.18659375
transcript.pyannote[726].speaker SPEAKER_05
transcript.pyannote[726].start 5970.18659375
transcript.pyannote[726].end 5970.25409375
transcript.pyannote[727].speaker SPEAKER_05
transcript.pyannote[727].start 5970.49034375
transcript.pyannote[727].end 5974.64159375
transcript.pyannote[728].speaker SPEAKER_15
transcript.pyannote[728].start 5970.91221875
transcript.pyannote[728].end 5971.80659375
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 5973.67971875
transcript.pyannote[729].end 5980.36221875
transcript.pyannote[730].speaker SPEAKER_05
transcript.pyannote[730].start 5980.54784375
transcript.pyannote[730].end 5980.58159375
transcript.pyannote[731].speaker SPEAKER_15
transcript.pyannote[731].start 5980.58159375
transcript.pyannote[731].end 5994.45284375
transcript.pyannote[732].speaker SPEAKER_05
transcript.pyannote[732].start 5980.69971875
transcript.pyannote[732].end 5980.85159375
transcript.pyannote[733].speaker SPEAKER_15
transcript.pyannote[733].start 5994.63846875
transcript.pyannote[733].end 6000.03846875
transcript.pyannote[734].speaker SPEAKER_15
transcript.pyannote[734].start 6000.30846875
transcript.pyannote[734].end 6002.11409375
transcript.pyannote[735].speaker SPEAKER_05
transcript.pyannote[735].start 6002.40096875
transcript.pyannote[735].end 6023.02221875
transcript.pyannote[736].speaker SPEAKER_15
transcript.pyannote[736].start 6004.12221875
transcript.pyannote[736].end 6004.89846875
transcript.pyannote[737].speaker SPEAKER_15
transcript.pyannote[737].start 6012.17159375
transcript.pyannote[737].end 6014.21346875
transcript.pyannote[738].speaker SPEAKER_15
transcript.pyannote[738].start 6021.36846875
transcript.pyannote[738].end 6021.58784375
transcript.pyannote[739].speaker SPEAKER_15
transcript.pyannote[739].start 6021.60471875
transcript.pyannote[739].end 6021.77346875
transcript.pyannote[740].speaker SPEAKER_15
transcript.pyannote[740].start 6021.80721875
transcript.pyannote[740].end 6022.02659375
transcript.pyannote[741].speaker SPEAKER_17
transcript.pyannote[741].start 6022.02659375
transcript.pyannote[741].end 6022.19534375
transcript.pyannote[742].speaker SPEAKER_15
transcript.pyannote[742].start 6022.19534375
transcript.pyannote[742].end 6022.29659375
transcript.pyannote[743].speaker SPEAKER_17
transcript.pyannote[743].start 6022.29659375
transcript.pyannote[743].end 6023.37659375
transcript.pyannote[744].speaker SPEAKER_17
transcript.pyannote[744].start 6024.81096875
transcript.pyannote[744].end 6026.66721875
transcript.pyannote[745].speaker SPEAKER_17
transcript.pyannote[745].start 6027.56159375
transcript.pyannote[745].end 6029.58659375
transcript.pyannote[746].speaker SPEAKER_09
transcript.pyannote[746].start 6039.50909375
transcript.pyannote[746].end 6041.12909375
transcript.pyannote[747].speaker SPEAKER_17
transcript.pyannote[747].start 6042.51284375
transcript.pyannote[747].end 6043.76159375
transcript.pyannote[748].speaker SPEAKER_17
transcript.pyannote[748].start 6044.36909375
transcript.pyannote[748].end 6045.43221875
transcript.pyannote[749].speaker SPEAKER_15
transcript.pyannote[749].start 6046.69784375
transcript.pyannote[749].end 6046.71471875
transcript.pyannote[750].speaker SPEAKER_09
transcript.pyannote[750].start 6046.71471875
transcript.pyannote[750].end 6046.78221875
transcript.pyannote[751].speaker SPEAKER_15
transcript.pyannote[751].start 6046.78221875
transcript.pyannote[751].end 6047.20409375
transcript.pyannote[752].speaker SPEAKER_15
transcript.pyannote[752].start 6047.60909375
transcript.pyannote[752].end 6047.64284375
transcript.pyannote[753].speaker SPEAKER_09
transcript.pyannote[753].start 6047.64284375
transcript.pyannote[753].end 6048.18284375
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 6049.39784375
transcript.pyannote[754].end 6050.27534375
transcript.pyannote[755].speaker SPEAKER_09
transcript.pyannote[755].start 6050.62971875
transcript.pyannote[755].end 6051.94596875
transcript.pyannote[756].speaker SPEAKER_15
transcript.pyannote[756].start 6051.94596875
transcript.pyannote[756].end 6053.34659375
transcript.pyannote[757].speaker SPEAKER_09
transcript.pyannote[757].start 6052.41846875
transcript.pyannote[757].end 6054.20721875
transcript.pyannote[758].speaker SPEAKER_09
transcript.pyannote[758].start 6055.42221875
transcript.pyannote[758].end 6055.97909375
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 6056.56971875
transcript.pyannote[759].end 6128.28846875
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 6128.81159375
transcript.pyannote[760].end 6135.61221875
transcript.pyannote[761].speaker SPEAKER_09
transcript.pyannote[761].start 6136.00034375
transcript.pyannote[761].end 6137.67096875
transcript.pyannote[762].speaker SPEAKER_09
transcript.pyannote[762].start 6137.89034375
transcript.pyannote[762].end 6149.02784375
transcript.pyannote[763].speaker SPEAKER_15
transcript.pyannote[763].start 6149.02784375
transcript.pyannote[763].end 6149.50034375
transcript.pyannote[764].speaker SPEAKER_15
transcript.pyannote[764].start 6149.73659375
transcript.pyannote[764].end 6150.49596875
transcript.pyannote[765].speaker SPEAKER_15
transcript.pyannote[765].start 6150.88409375
transcript.pyannote[765].end 6179.84159375
transcript.pyannote[766].speaker SPEAKER_15
transcript.pyannote[766].start 6180.16221875
transcript.pyannote[766].end 6183.97596875
transcript.pyannote[767].speaker SPEAKER_15
transcript.pyannote[767].start 6184.41471875
transcript.pyannote[767].end 6185.22471875
transcript.pyannote[768].speaker SPEAKER_15
transcript.pyannote[768].start 6185.74784375
transcript.pyannote[768].end 6204.61409375
transcript.pyannote[769].speaker SPEAKER_15
transcript.pyannote[769].start 6205.17096875
transcript.pyannote[769].end 6206.97659375
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 6206.97659375
transcript.pyannote[770].end 6213.01784375
transcript.pyannote[771].speaker SPEAKER_09
transcript.pyannote[771].start 6213.30471875
transcript.pyannote[771].end 6215.76846875
transcript.pyannote[772].speaker SPEAKER_09
transcript.pyannote[772].start 6216.00471875
transcript.pyannote[772].end 6217.59096875
transcript.pyannote[773].speaker SPEAKER_09
transcript.pyannote[773].start 6217.96221875
transcript.pyannote[773].end 6219.66659375
transcript.pyannote[774].speaker SPEAKER_15
transcript.pyannote[774].start 6219.19409375
transcript.pyannote[774].end 6220.03784375
transcript.pyannote[775].speaker SPEAKER_09
transcript.pyannote[775].start 6220.03784375
transcript.pyannote[775].end 6221.96159375
transcript.pyannote[776].speaker SPEAKER_09
transcript.pyannote[776].start 6222.67034375
transcript.pyannote[776].end 6223.76721875
transcript.pyannote[777].speaker SPEAKER_09
transcript.pyannote[777].start 6224.56034375
transcript.pyannote[777].end 6240.84471875
transcript.pyannote[778].speaker SPEAKER_15
transcript.pyannote[778].start 6226.45034375
transcript.pyannote[778].end 6227.98596875
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 6234.56721875
transcript.pyannote[779].end 6235.51221875
transcript.pyannote[780].speaker SPEAKER_15
transcript.pyannote[780].start 6240.84471875
transcript.pyannote[780].end 6247.07159375
transcript.pyannote[781].speaker SPEAKER_09
transcript.pyannote[781].start 6247.07159375
transcript.pyannote[781].end 6247.62846875
transcript.pyannote[782].speaker SPEAKER_15
transcript.pyannote[782].start 6247.62846875
transcript.pyannote[782].end 6247.96596875
transcript.pyannote[783].speaker SPEAKER_09
transcript.pyannote[783].start 6247.96596875
transcript.pyannote[783].end 6256.48784375
transcript.pyannote[784].speaker SPEAKER_09
transcript.pyannote[784].start 6256.96034375
transcript.pyannote[784].end 6257.56784375
transcript.pyannote[785].speaker SPEAKER_09
transcript.pyannote[785].start 6258.14159375
transcript.pyannote[785].end 6279.03284375
transcript.pyannote[786].speaker SPEAKER_15
transcript.pyannote[786].start 6279.03284375
transcript.pyannote[786].end 6279.33659375
transcript.pyannote[787].speaker SPEAKER_09
transcript.pyannote[787].start 6279.67409375
transcript.pyannote[787].end 6279.72471875
transcript.pyannote[788].speaker SPEAKER_15
transcript.pyannote[788].start 6279.72471875
transcript.pyannote[788].end 6286.67721875
transcript.pyannote[789].speaker SPEAKER_09
transcript.pyannote[789].start 6286.40721875
transcript.pyannote[789].end 6288.68534375
transcript.pyannote[790].speaker SPEAKER_15
transcript.pyannote[790].start 6288.68534375
transcript.pyannote[790].end 6288.98909375
transcript.pyannote[791].speaker SPEAKER_09
transcript.pyannote[791].start 6288.98909375
transcript.pyannote[791].end 6289.02284375
transcript.pyannote[792].speaker SPEAKER_15
transcript.pyannote[792].start 6289.02284375
transcript.pyannote[792].end 6297.96659375
transcript.pyannote[793].speaker SPEAKER_09
transcript.pyannote[793].start 6289.10721875
transcript.pyannote[793].end 6289.56284375
transcript.pyannote[794].speaker SPEAKER_09
transcript.pyannote[794].start 6295.87409375
transcript.pyannote[794].end 6296.46471875
transcript.pyannote[795].speaker SPEAKER_09
transcript.pyannote[795].start 6297.96659375
transcript.pyannote[795].end 6298.75971875
transcript.pyannote[796].speaker SPEAKER_09
transcript.pyannote[796].start 6299.04659375
transcript.pyannote[796].end 6312.68159375
transcript.pyannote[797].speaker SPEAKER_09
transcript.pyannote[797].start 6312.85034375
transcript.pyannote[797].end 6313.59284375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 6312.98534375
transcript.pyannote[798].end 6313.08659375
transcript.pyannote[799].speaker SPEAKER_01
transcript.pyannote[799].start 6313.08659375
transcript.pyannote[799].end 6313.18784375
transcript.pyannote[800].speaker SPEAKER_00
transcript.pyannote[800].start 6313.18784375
transcript.pyannote[800].end 6313.35659375
transcript.pyannote[801].speaker SPEAKER_09
transcript.pyannote[801].start 6313.94721875
transcript.pyannote[801].end 6320.74784375
transcript.pyannote[802].speaker SPEAKER_09
transcript.pyannote[802].start 6321.22034375
transcript.pyannote[802].end 6326.29971875
transcript.pyannote[803].speaker SPEAKER_15
transcript.pyannote[803].start 6326.62034375
transcript.pyannote[803].end 6342.97221875
transcript.pyannote[804].speaker SPEAKER_09
transcript.pyannote[804].start 6333.58971875
transcript.pyannote[804].end 6333.97784375
transcript.pyannote[805].speaker SPEAKER_00
transcript.pyannote[805].start 6333.97784375
transcript.pyannote[805].end 6334.34909375
transcript.pyannote[806].speaker SPEAKER_09
transcript.pyannote[806].start 6341.43659375
transcript.pyannote[806].end 6342.93846875
transcript.pyannote[807].speaker SPEAKER_09
transcript.pyannote[807].start 6342.97221875
transcript.pyannote[807].end 6343.74846875
transcript.pyannote[808].speaker SPEAKER_15
transcript.pyannote[808].start 6343.74846875
transcript.pyannote[808].end 6343.96784375
transcript.pyannote[809].speaker SPEAKER_09
transcript.pyannote[809].start 6343.96784375
transcript.pyannote[809].end 6344.03534375
transcript.pyannote[810].speaker SPEAKER_15
transcript.pyannote[810].start 6344.03534375
transcript.pyannote[810].end 6344.05221875
transcript.pyannote[811].speaker SPEAKER_09
transcript.pyannote[811].start 6344.05221875
transcript.pyannote[811].end 6347.17409375
transcript.pyannote[812].speaker SPEAKER_15
transcript.pyannote[812].start 6344.17034375
transcript.pyannote[812].end 6345.63846875
transcript.pyannote[813].speaker SPEAKER_01
transcript.pyannote[813].start 6347.71409375
transcript.pyannote[813].end 6347.74784375
transcript.pyannote[814].speaker SPEAKER_15
transcript.pyannote[814].start 6347.74784375
transcript.pyannote[814].end 6347.89971875
transcript.pyannote[815].speaker SPEAKER_09
transcript.pyannote[815].start 6348.08534375
transcript.pyannote[815].end 6349.90784375
transcript.pyannote[816].speaker SPEAKER_09
transcript.pyannote[816].start 6350.34659375
transcript.pyannote[816].end 6351.39284375
transcript.pyannote[817].speaker SPEAKER_14
transcript.pyannote[817].start 6350.73471875
transcript.pyannote[817].end 6351.66284375
transcript.pyannote[818].speaker SPEAKER_09
transcript.pyannote[818].start 6352.25346875
transcript.pyannote[818].end 6352.27034375
transcript.pyannote[819].speaker SPEAKER_14
transcript.pyannote[819].start 6352.27034375
transcript.pyannote[819].end 6356.48909375
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 6352.40534375
transcript.pyannote[820].end 6352.77659375
transcript.pyannote[821].speaker SPEAKER_14
transcript.pyannote[821].start 6356.87721875
transcript.pyannote[821].end 6357.68721875
transcript.pyannote[822].speaker SPEAKER_14
transcript.pyannote[822].start 6358.02471875
transcript.pyannote[822].end 6361.45034375
transcript.pyannote[823].speaker SPEAKER_14
transcript.pyannote[823].start 6361.83846875
transcript.pyannote[823].end 6362.58096875
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 6362.05784375
transcript.pyannote[824].end 6365.85471875
transcript.pyannote[825].speaker SPEAKER_14
transcript.pyannote[825].start 6363.59346875
transcript.pyannote[825].end 6367.49159375
transcript.pyannote[826].speaker SPEAKER_14
transcript.pyannote[826].start 6367.55909375
transcript.pyannote[826].end 6370.51221875
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 6368.92596875
transcript.pyannote[827].end 6373.58346875
transcript.pyannote[828].speaker SPEAKER_14
transcript.pyannote[828].start 6371.55846875
transcript.pyannote[828].end 6371.87909375
transcript.pyannote[829].speaker SPEAKER_14
transcript.pyannote[829].start 6374.29221875
transcript.pyannote[829].end 6379.33784375
transcript.pyannote[830].speaker SPEAKER_14
transcript.pyannote[830].start 6379.54034375
transcript.pyannote[830].end 6379.57409375
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 6379.57409375
transcript.pyannote[831].end 6379.59096875
transcript.pyannote[832].speaker SPEAKER_14
transcript.pyannote[832].start 6379.59096875
transcript.pyannote[832].end 6380.19846875
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 6380.19846875
transcript.pyannote[833].end 6380.23221875
transcript.pyannote[834].speaker SPEAKER_14
transcript.pyannote[834].start 6380.23221875
transcript.pyannote[834].end 6380.90721875
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 6380.90721875
transcript.pyannote[835].end 6385.44659375
transcript.pyannote[836].speaker SPEAKER_09
transcript.pyannote[836].start 6385.73346875
transcript.pyannote[836].end 6386.25659375
transcript.pyannote[837].speaker SPEAKER_09
transcript.pyannote[837].start 6387.38721875
transcript.pyannote[837].end 6388.65284375
transcript.pyannote[838].speaker SPEAKER_09
transcript.pyannote[838].start 6388.97346875
transcript.pyannote[838].end 6392.06159375
transcript.pyannote[839].speaker SPEAKER_09
transcript.pyannote[839].start 6392.12909375
transcript.pyannote[839].end 6393.22596875
transcript.pyannote[840].speaker SPEAKER_14
transcript.pyannote[840].start 6393.22596875
transcript.pyannote[840].end 6393.36096875
transcript.pyannote[841].speaker SPEAKER_09
transcript.pyannote[841].start 6393.36096875
transcript.pyannote[841].end 6393.58034375
transcript.pyannote[842].speaker SPEAKER_15
transcript.pyannote[842].start 6393.58034375
transcript.pyannote[842].end 6393.59721875
transcript.pyannote[843].speaker SPEAKER_14
transcript.pyannote[843].start 6393.59721875
transcript.pyannote[843].end 6393.69846875
transcript.pyannote[844].speaker SPEAKER_15
transcript.pyannote[844].start 6393.69846875
transcript.pyannote[844].end 6393.81659375
transcript.pyannote[845].speaker SPEAKER_14
transcript.pyannote[845].start 6393.81659375
transcript.pyannote[845].end 6394.79534375
transcript.pyannote[846].speaker SPEAKER_15
transcript.pyannote[846].start 6394.79534375
transcript.pyannote[846].end 6397.20846875
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 6397.37721875
transcript.pyannote[847].end 6410.82659375
transcript.pyannote[848].speaker SPEAKER_09
transcript.pyannote[848].start 6409.78034375
transcript.pyannote[848].end 6412.26096875
transcript.pyannote[849].speaker SPEAKER_09
transcript.pyannote[849].start 6413.08784375
transcript.pyannote[849].end 6414.97784375
transcript.pyannote[850].speaker SPEAKER_09
transcript.pyannote[850].start 6415.45034375
transcript.pyannote[850].end 6418.15034375
transcript.pyannote[851].speaker SPEAKER_09
transcript.pyannote[851].start 6418.25159375
transcript.pyannote[851].end 6420.51284375
transcript.pyannote[852].speaker SPEAKER_09
transcript.pyannote[852].start 6420.86721875
transcript.pyannote[852].end 6423.33096875
transcript.pyannote[853].speaker SPEAKER_15
transcript.pyannote[853].start 6422.08221875
transcript.pyannote[853].end 6422.65596875
transcript.pyannote[854].speaker SPEAKER_15
transcript.pyannote[854].start 6423.33096875
transcript.pyannote[854].end 6423.58409375
transcript.pyannote[855].speaker SPEAKER_09
transcript.pyannote[855].start 6423.58409375
transcript.pyannote[855].end 6425.62596875
transcript.pyannote[856].speaker SPEAKER_15
transcript.pyannote[856].start 6425.62596875
transcript.pyannote[856].end 6439.12596875
transcript.pyannote[857].speaker SPEAKER_09
transcript.pyannote[857].start 6437.06721875
transcript.pyannote[857].end 6439.59846875
transcript.pyannote[858].speaker SPEAKER_15
transcript.pyannote[858].start 6439.59846875
transcript.pyannote[858].end 6439.63221875
transcript.pyannote[859].speaker SPEAKER_09
transcript.pyannote[859].start 6439.85159375
transcript.pyannote[859].end 6442.07909375
transcript.pyannote[860].speaker SPEAKER_15
transcript.pyannote[860].start 6441.70784375
transcript.pyannote[860].end 6443.14221875
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 6444.74534375
transcript.pyannote[861].end 6445.69034375
transcript.pyannote[862].speaker SPEAKER_07
transcript.pyannote[862].start 6452.33909375
transcript.pyannote[862].end 6456.35534375
transcript.pyannote[863].speaker SPEAKER_17
transcript.pyannote[863].start 6463.52721875
transcript.pyannote[863].end 6464.55659375
transcript.pyannote[864].speaker SPEAKER_17
transcript.pyannote[864].start 6465.48471875
transcript.pyannote[864].end 6467.94846875
transcript.pyannote[865].speaker SPEAKER_07
transcript.pyannote[865].start 6468.62346875
transcript.pyannote[865].end 6469.87221875
transcript.pyannote[866].speaker SPEAKER_17
transcript.pyannote[866].start 6474.63096875
transcript.pyannote[866].end 6475.77846875
transcript.pyannote[867].speaker SPEAKER_17
transcript.pyannote[867].start 6476.85846875
transcript.pyannote[867].end 6481.34721875
transcript.pyannote[868].speaker SPEAKER_17
transcript.pyannote[868].start 6481.75221875
transcript.pyannote[868].end 6490.29096875
transcript.pyannote[869].speaker SPEAKER_17
transcript.pyannote[869].start 6490.72971875
transcript.pyannote[869].end 6495.64034375
transcript.pyannote[870].speaker SPEAKER_17
transcript.pyannote[870].start 6496.39971875
transcript.pyannote[870].end 6496.73721875
transcript.pyannote[871].speaker SPEAKER_17
transcript.pyannote[871].start 6497.00721875
transcript.pyannote[871].end 6501.83346875
transcript.pyannote[872].speaker SPEAKER_17
transcript.pyannote[872].start 6502.27221875
transcript.pyannote[872].end 6506.50784375
transcript.pyannote[873].speaker SPEAKER_17
transcript.pyannote[873].start 6507.35159375
transcript.pyannote[873].end 6511.06409375
transcript.pyannote[874].speaker SPEAKER_17
transcript.pyannote[874].start 6511.53659375
transcript.pyannote[874].end 6516.56534375
transcript.pyannote[875].speaker SPEAKER_17
transcript.pyannote[875].start 6516.76784375
transcript.pyannote[875].end 6520.86846875
transcript.pyannote[876].speaker SPEAKER_17
transcript.pyannote[876].start 6521.37471875
transcript.pyannote[876].end 6526.03221875
transcript.pyannote[877].speaker SPEAKER_17
transcript.pyannote[877].start 6526.55534375
transcript.pyannote[877].end 6533.64284375
transcript.pyannote[878].speaker SPEAKER_17
transcript.pyannote[878].start 6533.92971875
transcript.pyannote[878].end 6537.74346875
transcript.pyannote[879].speaker SPEAKER_17
transcript.pyannote[879].start 6538.01346875
transcript.pyannote[879].end 6540.07221875
transcript.pyannote[880].speaker SPEAKER_17
transcript.pyannote[880].start 6540.59534375
transcript.pyannote[880].end 6542.38409375
transcript.pyannote[881].speaker SPEAKER_17
transcript.pyannote[881].start 6542.78909375
transcript.pyannote[881].end 6551.29409375
transcript.pyannote[882].speaker SPEAKER_17
transcript.pyannote[882].start 6551.93534375
transcript.pyannote[882].end 6563.10659375
transcript.pyannote[883].speaker SPEAKER_17
transcript.pyannote[883].start 6563.68034375
transcript.pyannote[883].end 6568.10159375
transcript.pyannote[884].speaker SPEAKER_17
transcript.pyannote[884].start 6568.89471875
transcript.pyannote[884].end 6569.60346875
transcript.pyannote[885].speaker SPEAKER_17
transcript.pyannote[885].start 6571.15596875
transcript.pyannote[885].end 6580.18409375
transcript.pyannote[886].speaker SPEAKER_17
transcript.pyannote[886].start 6580.55534375
transcript.pyannote[886].end 6585.02721875
transcript.pyannote[887].speaker SPEAKER_17
transcript.pyannote[887].start 6585.39846875
transcript.pyannote[887].end 6610.03596875
transcript.pyannote[888].speaker SPEAKER_17
transcript.pyannote[888].start 6610.25534375
transcript.pyannote[888].end 6616.93784375
transcript.pyannote[889].speaker SPEAKER_17
transcript.pyannote[889].start 6617.54534375
transcript.pyannote[889].end 6623.97471875
transcript.pyannote[890].speaker SPEAKER_17
transcript.pyannote[890].start 6624.16034375
transcript.pyannote[890].end 6626.25284375
transcript.pyannote[891].speaker SPEAKER_17
transcript.pyannote[891].start 6626.28659375
transcript.pyannote[891].end 6630.79221875
transcript.pyannote[892].speaker SPEAKER_17
transcript.pyannote[892].start 6631.60221875
transcript.pyannote[892].end 6632.19284375
transcript.pyannote[893].speaker SPEAKER_17
transcript.pyannote[893].start 6632.59784375
transcript.pyannote[893].end 6642.09846875
transcript.pyannote[894].speaker SPEAKER_17
transcript.pyannote[894].start 6642.73971875
transcript.pyannote[894].end 6669.16596875
transcript.pyannote[895].speaker SPEAKER_17
transcript.pyannote[895].start 6669.79034375
transcript.pyannote[895].end 6673.77284375
transcript.pyannote[896].speaker SPEAKER_17
transcript.pyannote[896].start 6674.34659375
transcript.pyannote[896].end 6685.50096875
transcript.pyannote[897].speaker SPEAKER_17
transcript.pyannote[897].start 6686.14221875
transcript.pyannote[897].end 6687.54284375
transcript.pyannote[898].speaker SPEAKER_17
transcript.pyannote[898].start 6688.33596875
transcript.pyannote[898].end 6693.21284375
transcript.pyannote[899].speaker SPEAKER_17
transcript.pyannote[899].start 6693.53346875
transcript.pyannote[899].end 6699.50721875
transcript.pyannote[900].speaker SPEAKER_17
transcript.pyannote[900].start 6700.03034375
transcript.pyannote[900].end 6701.56596875
transcript.pyannote[901].speaker SPEAKER_17
transcript.pyannote[901].start 6702.40971875
transcript.pyannote[901].end 6703.57409375
transcript.pyannote[902].speaker SPEAKER_17
transcript.pyannote[902].start 6704.63721875
transcript.pyannote[902].end 6709.17659375
transcript.pyannote[903].speaker SPEAKER_17
transcript.pyannote[903].start 6709.71659375
transcript.pyannote[903].end 6711.42096875
transcript.pyannote[904].speaker SPEAKER_17
transcript.pyannote[904].start 6712.09596875
transcript.pyannote[904].end 6713.37846875
transcript.pyannote[905].speaker SPEAKER_17
transcript.pyannote[905].start 6714.47534375
transcript.pyannote[905].end 6719.16659375
transcript.pyannote[906].speaker SPEAKER_17
transcript.pyannote[906].start 6719.60534375
transcript.pyannote[906].end 6724.09409375
transcript.pyannote[907].speaker SPEAKER_17
transcript.pyannote[907].start 6724.49909375
transcript.pyannote[907].end 6725.74784375
transcript.pyannote[908].speaker SPEAKER_17
transcript.pyannote[908].start 6726.01784375
transcript.pyannote[908].end 6726.77721875
transcript.pyannote[909].speaker SPEAKER_17
transcript.pyannote[909].start 6728.19471875
transcript.pyannote[909].end 6735.56909375
transcript.pyannote[910].speaker SPEAKER_17
transcript.pyannote[910].start 6735.97409375
transcript.pyannote[910].end 6737.62784375
transcript.pyannote[911].speaker SPEAKER_17
transcript.pyannote[911].start 6738.16784375
transcript.pyannote[911].end 6739.16346875
transcript.pyannote[912].speaker SPEAKER_17
transcript.pyannote[912].start 6741.00284375
transcript.pyannote[912].end 6749.01846875
transcript.pyannote[913].speaker SPEAKER_17
transcript.pyannote[913].start 6749.49096875
transcript.pyannote[913].end 6753.11909375
transcript.pyannote[914].speaker SPEAKER_17
transcript.pyannote[914].start 6754.68846875
transcript.pyannote[914].end 6756.83159375
transcript.pyannote[915].speaker SPEAKER_17
transcript.pyannote[915].start 6760.27409375
transcript.pyannote[915].end 6761.45534375
transcript.pyannote[916].speaker SPEAKER_17
transcript.pyannote[916].start 6761.91096875
transcript.pyannote[916].end 6766.68659375
transcript.pyannote[917].speaker SPEAKER_17
transcript.pyannote[917].start 6767.04096875
transcript.pyannote[917].end 6768.84659375
transcript.pyannote[918].speaker SPEAKER_15
transcript.pyannote[918].start 6768.35721875
transcript.pyannote[918].end 6769.36971875
transcript.pyannote[919].speaker SPEAKER_17
transcript.pyannote[919].start 6769.38659375
transcript.pyannote[919].end 6772.47471875
transcript.pyannote[920].speaker SPEAKER_17
transcript.pyannote[920].start 6773.14971875
transcript.pyannote[920].end 6777.36846875
transcript.pyannote[921].speaker SPEAKER_17
transcript.pyannote[921].start 6778.93784375
transcript.pyannote[921].end 6787.22346875
transcript.pyannote[922].speaker SPEAKER_17
transcript.pyannote[922].start 6787.86471875
transcript.pyannote[922].end 6791.89784375
transcript.pyannote[923].speaker SPEAKER_17
transcript.pyannote[923].start 6792.50534375
transcript.pyannote[923].end 6798.31034375
transcript.pyannote[924].speaker SPEAKER_17
transcript.pyannote[924].start 6798.81659375
transcript.pyannote[924].end 6801.19596875
transcript.pyannote[925].speaker SPEAKER_17
transcript.pyannote[925].start 6801.88784375
transcript.pyannote[925].end 6807.70971875
transcript.pyannote[926].speaker SPEAKER_15
transcript.pyannote[926].start 6808.19909375
transcript.pyannote[926].end 6810.07221875
transcript.pyannote[927].speaker SPEAKER_17
transcript.pyannote[927].start 6810.07221875
transcript.pyannote[927].end 6812.01284375
transcript.pyannote[928].speaker SPEAKER_15
transcript.pyannote[928].start 6810.13971875
transcript.pyannote[928].end 6810.24096875
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 6812.01284375
transcript.pyannote[929].end 6812.02971875
transcript.pyannote[930].speaker SPEAKER_15
transcript.pyannote[930].start 6813.59909375
transcript.pyannote[930].end 6816.87284375
transcript.pyannote[931].speaker SPEAKER_07
transcript.pyannote[931].start 6816.09659375
transcript.pyannote[931].end 6821.19284375
transcript.pyannote[932].speaker SPEAKER_07
transcript.pyannote[932].start 6821.46284375
transcript.pyannote[932].end 6822.49221875
transcript.pyannote[933].speaker SPEAKER_07
transcript.pyannote[933].start 6824.21346875
transcript.pyannote[933].end 6826.25534375
transcript.pyannote[934].speaker SPEAKER_07
transcript.pyannote[934].start 6826.39034375
transcript.pyannote[934].end 6827.84159375
transcript.pyannote[935].speaker SPEAKER_07
transcript.pyannote[935].start 6828.85409375
transcript.pyannote[935].end 6830.50784375
transcript.pyannote[936].speaker SPEAKER_17
transcript.pyannote[936].start 6836.78534375
transcript.pyannote[936].end 6839.67096875
transcript.pyannote[937].speaker SPEAKER_07
transcript.pyannote[937].start 6848.78346875
transcript.pyannote[937].end 6851.85471875
transcript.pyannote[938].speaker SPEAKER_17
transcript.pyannote[938].start 6852.54659375
transcript.pyannote[938].end 6853.93034375
transcript.pyannote[939].speaker SPEAKER_07
transcript.pyannote[939].start 6859.06034375
transcript.pyannote[939].end 6859.07721875
transcript.pyannote[940].speaker SPEAKER_01
transcript.pyannote[940].start 6859.07721875
transcript.pyannote[940].end 6859.17846875
transcript.pyannote[941].speaker SPEAKER_07
transcript.pyannote[941].start 6859.17846875
transcript.pyannote[941].end 6916.41846875
transcript.pyannote[942].speaker SPEAKER_01
transcript.pyannote[942].start 6859.61721875
transcript.pyannote[942].end 6859.83659375
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 6859.83659375
transcript.pyannote[943].end 6859.92096875
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 6917.22846875
transcript.pyannote[944].end 6918.29159375
transcript.pyannote[945].speaker SPEAKER_07
transcript.pyannote[945].start 6918.73034375
transcript.pyannote[945].end 6919.79346875
transcript.pyannote[946].speaker SPEAKER_07
transcript.pyannote[946].start 6920.65409375
transcript.pyannote[946].end 6941.20784375
transcript.pyannote[947].speaker SPEAKER_07
transcript.pyannote[947].start 6941.78159375
transcript.pyannote[947].end 6963.02721875
transcript.pyannote[948].speaker SPEAKER_07
transcript.pyannote[948].start 6963.17909375
transcript.pyannote[948].end 6968.03909375
transcript.pyannote[949].speaker SPEAKER_15
transcript.pyannote[949].start 6968.03909375
transcript.pyannote[949].end 6968.05596875
transcript.pyannote[950].speaker SPEAKER_15
transcript.pyannote[950].start 6968.57909375
transcript.pyannote[950].end 6978.58596875
transcript.pyannote[951].speaker SPEAKER_07
transcript.pyannote[951].start 6977.43846875
transcript.pyannote[951].end 6979.86846875
transcript.pyannote[952].speaker SPEAKER_15
transcript.pyannote[952].start 6980.13846875
transcript.pyannote[952].end 6982.61909375
transcript.pyannote[953].speaker SPEAKER_07
transcript.pyannote[953].start 6981.77534375
transcript.pyannote[953].end 6985.97721875
transcript.pyannote[954].speaker SPEAKER_15
transcript.pyannote[954].start 6985.97721875
transcript.pyannote[954].end 6986.43284375
transcript.pyannote[955].speaker SPEAKER_15
transcript.pyannote[955].start 6987.37784375
transcript.pyannote[955].end 6988.44096875
transcript.pyannote[956].speaker SPEAKER_15
transcript.pyannote[956].start 6989.58846875
transcript.pyannote[956].end 7002.83534375
transcript.pyannote[957].speaker SPEAKER_02
transcript.pyannote[957].start 7001.40096875
transcript.pyannote[957].end 7001.77221875
transcript.pyannote[958].speaker SPEAKER_07
transcript.pyannote[958].start 7001.77221875
transcript.pyannote[958].end 7002.16034375
transcript.pyannote[959].speaker SPEAKER_15
transcript.pyannote[959].start 7002.97034375
transcript.pyannote[959].end 7003.47659375
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 7003.51034375
transcript.pyannote[960].end 7004.03346875
transcript.pyannote[961].speaker SPEAKER_07
transcript.pyannote[961].start 7004.03346875
transcript.pyannote[961].end 7004.26971875
transcript.pyannote[962].speaker SPEAKER_07
transcript.pyannote[962].start 7005.13034375
transcript.pyannote[962].end 7005.38346875
transcript.pyannote[963].speaker SPEAKER_15
transcript.pyannote[963].start 7007.23971875
transcript.pyannote[963].end 7007.29034375
transcript.pyannote[964].speaker SPEAKER_07
transcript.pyannote[964].start 7007.29034375
transcript.pyannote[964].end 7010.36159375
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 7010.36159375
transcript.pyannote[965].end 7011.05346875
transcript.pyannote[966].speaker SPEAKER_07
transcript.pyannote[966].start 7010.37846875
transcript.pyannote[966].end 7012.18409375
transcript.pyannote[967].speaker SPEAKER_15
transcript.pyannote[967].start 7012.18409375
transcript.pyannote[967].end 7017.02721875
transcript.pyannote[968].speaker SPEAKER_07
transcript.pyannote[968].start 7012.20096875
transcript.pyannote[968].end 7013.50034375
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 7017.46596875
transcript.pyannote[969].end 7019.25471875
transcript.pyannote[970].speaker SPEAKER_15
transcript.pyannote[970].start 7019.62596875
transcript.pyannote[970].end 7020.38534375
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 7021.43159375
transcript.pyannote[971].end 7025.58284375
transcript.pyannote[972].speaker SPEAKER_15
transcript.pyannote[972].start 7025.78534375
transcript.pyannote[972].end 7031.92784375
transcript.pyannote[973].speaker SPEAKER_07
transcript.pyannote[973].start 7031.89409375
transcript.pyannote[973].end 7055.02971875
transcript.pyannote[974].speaker SPEAKER_15
transcript.pyannote[974].start 7047.97596875
transcript.pyannote[974].end 7049.20784375
transcript.pyannote[975].speaker SPEAKER_07
transcript.pyannote[975].start 7055.16471875
transcript.pyannote[975].end 7058.08409375
transcript.pyannote[976].speaker SPEAKER_07
transcript.pyannote[976].start 7059.07971875
transcript.pyannote[976].end 7061.88096875
transcript.pyannote[977].speaker SPEAKER_07
transcript.pyannote[977].start 7063.11284375
transcript.pyannote[977].end 7063.80471875
transcript.pyannote[978].speaker SPEAKER_07
transcript.pyannote[978].start 7064.56409375
transcript.pyannote[978].end 7065.59346875
transcript.pyannote[979].speaker SPEAKER_07
transcript.pyannote[979].start 7066.55534375
transcript.pyannote[979].end 7068.07409375
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 7068.64784375
transcript.pyannote[980].end 7068.96846875
transcript.pyannote[981].speaker SPEAKER_07
transcript.pyannote[981].start 7068.96846875
transcript.pyannote[981].end 7070.57159375
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 7070.67284375
transcript.pyannote[982].end 7079.81909375
transcript.pyannote[983].speaker SPEAKER_15
transcript.pyannote[983].start 7080.67971875
transcript.pyannote[983].end 7081.08471875
transcript.pyannote[984].speaker SPEAKER_15
transcript.pyannote[984].start 7081.42221875
transcript.pyannote[984].end 7093.92659375
transcript.pyannote[985].speaker SPEAKER_15
transcript.pyannote[985].start 7094.29784375
transcript.pyannote[985].end 7100.03534375
transcript.pyannote[986].speaker SPEAKER_07
transcript.pyannote[986].start 7096.81221875
transcript.pyannote[986].end 7096.86284375
transcript.pyannote[987].speaker SPEAKER_18
transcript.pyannote[987].start 7096.86284375
transcript.pyannote[987].end 7096.87971875
transcript.pyannote[988].speaker SPEAKER_07
transcript.pyannote[988].start 7096.87971875
transcript.pyannote[988].end 7096.91346875
transcript.pyannote[989].speaker SPEAKER_18
transcript.pyannote[989].start 7096.91346875
transcript.pyannote[989].end 7096.93034375
transcript.pyannote[990].speaker SPEAKER_07
transcript.pyannote[990].start 7096.93034375
transcript.pyannote[990].end 7097.16659375
transcript.pyannote[991].speaker SPEAKER_07
transcript.pyannote[991].start 7100.03534375
transcript.pyannote[991].end 7123.99784375
transcript.pyannote[992].speaker SPEAKER_09
transcript.pyannote[992].start 7110.88596875
transcript.pyannote[992].end 7112.21909375
transcript.pyannote[993].speaker SPEAKER_15
transcript.pyannote[993].start 7123.99784375
transcript.pyannote[993].end 7124.01471875
transcript.pyannote[994].speaker SPEAKER_07
transcript.pyannote[994].start 7124.97659375
transcript.pyannote[994].end 7124.99346875
transcript.pyannote[995].speaker SPEAKER_15
transcript.pyannote[995].start 7124.99346875
transcript.pyannote[995].end 7131.08534375
transcript.pyannote[996].speaker SPEAKER_07
transcript.pyannote[996].start 7132.23284375
transcript.pyannote[996].end 7151.45346875
transcript.pyannote[997].speaker SPEAKER_15
transcript.pyannote[997].start 7148.50034375
transcript.pyannote[997].end 7149.81659375
transcript.pyannote[998].speaker SPEAKER_15
transcript.pyannote[998].start 7150.40721875
transcript.pyannote[998].end 7155.28409375
transcript.pyannote[999].speaker SPEAKER_07
transcript.pyannote[999].start 7156.38096875
transcript.pyannote[999].end 7156.58346875
transcript.pyannote[1000].speaker SPEAKER_15
transcript.pyannote[1000].start 7156.58346875
transcript.pyannote[1000].end 7156.80284375
transcript.pyannote[1001].speaker SPEAKER_07
transcript.pyannote[1001].start 7156.80284375
transcript.pyannote[1001].end 7156.81971875
transcript.pyannote[1002].speaker SPEAKER_07
transcript.pyannote[1002].start 7158.01784375
transcript.pyannote[1002].end 7164.22784375
transcript.pyannote[1003].speaker SPEAKER_15
transcript.pyannote[1003].start 7159.35096875
transcript.pyannote[1003].end 7159.43534375
transcript.pyannote[1004].speaker SPEAKER_07
transcript.pyannote[1004].start 7164.37971875
transcript.pyannote[1004].end 7166.99534375
transcript.pyannote[1005].speaker SPEAKER_07
transcript.pyannote[1005].start 7167.78846875
transcript.pyannote[1005].end 7192.30784375
transcript.pyannote[1006].speaker SPEAKER_18
transcript.pyannote[1006].start 7179.61784375
transcript.pyannote[1006].end 7180.09034375
transcript.pyannote[1007].speaker SPEAKER_18
transcript.pyannote[1007].start 7183.66784375
transcript.pyannote[1007].end 7183.68471875
transcript.pyannote[1008].speaker SPEAKER_15
transcript.pyannote[1008].start 7183.68471875
transcript.pyannote[1008].end 7183.78596875
transcript.pyannote[1009].speaker SPEAKER_18
transcript.pyannote[1009].start 7183.78596875
transcript.pyannote[1009].end 7183.81971875
transcript.pyannote[1010].speaker SPEAKER_15
transcript.pyannote[1010].start 7183.81971875
transcript.pyannote[1010].end 7184.07284375
transcript.pyannote[1011].speaker SPEAKER_18
transcript.pyannote[1011].start 7184.07284375
transcript.pyannote[1011].end 7184.10659375
transcript.pyannote[1012].speaker SPEAKER_18
transcript.pyannote[1012].start 7184.86596875
transcript.pyannote[1012].end 7184.89971875
transcript.pyannote[1013].speaker SPEAKER_15
transcript.pyannote[1013].start 7184.89971875
transcript.pyannote[1013].end 7185.43971875
transcript.pyannote[1014].speaker SPEAKER_18
transcript.pyannote[1014].start 7185.43971875
transcript.pyannote[1014].end 7185.45659375
transcript.pyannote[1015].speaker SPEAKER_15
transcript.pyannote[1015].start 7190.63721875
transcript.pyannote[1015].end 7193.43846875
transcript.pyannote[1016].speaker SPEAKER_07
transcript.pyannote[1016].start 7192.66221875
transcript.pyannote[1016].end 7197.18471875
transcript.pyannote[1017].speaker SPEAKER_15
transcript.pyannote[1017].start 7195.22721875
transcript.pyannote[1017].end 7195.80096875
transcript.pyannote[1018].speaker SPEAKER_15
transcript.pyannote[1018].start 7197.16784375
transcript.pyannote[1018].end 7197.57284375
transcript.pyannote[1019].speaker SPEAKER_07
transcript.pyannote[1019].start 7197.20159375
transcript.pyannote[1019].end 7197.38721875
transcript.pyannote[1020].speaker SPEAKER_07
transcript.pyannote[1020].start 7197.48846875
transcript.pyannote[1020].end 7198.60221875
transcript.pyannote[1021].speaker SPEAKER_07
transcript.pyannote[1021].start 7198.65284375
transcript.pyannote[1021].end 7201.40346875
transcript.pyannote[1022].speaker SPEAKER_15
transcript.pyannote[1022].start 7200.03659375
transcript.pyannote[1022].end 7200.25596875
transcript.pyannote[1023].speaker SPEAKER_15
transcript.pyannote[1023].start 7201.40346875
transcript.pyannote[1023].end 7201.82534375
transcript.pyannote[1024].speaker SPEAKER_07
transcript.pyannote[1024].start 7201.82534375
transcript.pyannote[1024].end 7202.44971875
transcript.pyannote[1025].speaker SPEAKER_15
transcript.pyannote[1025].start 7202.44971875
transcript.pyannote[1025].end 7208.49096875
transcript.pyannote[1026].speaker SPEAKER_07
transcript.pyannote[1026].start 7208.37284375
transcript.pyannote[1026].end 7208.44034375
transcript.pyannote[1027].speaker SPEAKER_07
transcript.pyannote[1027].start 7208.45721875
transcript.pyannote[1027].end 7208.47409375
transcript.pyannote[1028].speaker SPEAKER_07
transcript.pyannote[1028].start 7208.49096875
transcript.pyannote[1028].end 7208.77784375
transcript.pyannote[1029].speaker SPEAKER_07
transcript.pyannote[1029].start 7209.58784375
transcript.pyannote[1029].end 7216.10159375
transcript.pyannote[1030].speaker SPEAKER_15
transcript.pyannote[1030].start 7216.42221875
transcript.pyannote[1030].end 7219.08846875
transcript.pyannote[1031].speaker SPEAKER_17
transcript.pyannote[1031].start 7219.08846875
transcript.pyannote[1031].end 7219.24034375
transcript.pyannote[1032].speaker SPEAKER_15
transcript.pyannote[1032].start 7219.67909375
transcript.pyannote[1032].end 7219.96596875
transcript.pyannote[1033].speaker SPEAKER_17
transcript.pyannote[1033].start 7219.96596875
transcript.pyannote[1033].end 7221.45096875
transcript.pyannote[1034].speaker SPEAKER_17
transcript.pyannote[1034].start 7221.92346875
transcript.pyannote[1034].end 7222.64909375
transcript.pyannote[1035].speaker SPEAKER_17
transcript.pyannote[1035].start 7224.18471875
transcript.pyannote[1035].end 7227.55971875
transcript.pyannote[1036].speaker SPEAKER_17
transcript.pyannote[1036].start 7228.47096875
transcript.pyannote[1036].end 7230.86721875
transcript.pyannote[1037].speaker SPEAKER_08
transcript.pyannote[1037].start 7241.98784375
transcript.pyannote[1037].end 7244.16471875
transcript.pyannote[1038].speaker SPEAKER_17
transcript.pyannote[1038].start 7242.39284375
transcript.pyannote[1038].end 7242.88221875
transcript.pyannote[1039].speaker SPEAKER_08
transcript.pyannote[1039].start 7244.92409375
transcript.pyannote[1039].end 7245.46409375
transcript.pyannote[1040].speaker SPEAKER_08
transcript.pyannote[1040].start 7246.27409375
transcript.pyannote[1040].end 7246.37534375
transcript.pyannote[1041].speaker SPEAKER_17
transcript.pyannote[1041].start 7246.37534375
transcript.pyannote[1041].end 7247.11784375
transcript.pyannote[1042].speaker SPEAKER_08
transcript.pyannote[1042].start 7252.23096875
transcript.pyannote[1042].end 7259.65596875
transcript.pyannote[1043].speaker SPEAKER_15
transcript.pyannote[1043].start 7252.80471875
transcript.pyannote[1043].end 7252.83846875
transcript.pyannote[1044].speaker SPEAKER_15
transcript.pyannote[1044].start 7253.37846875
transcript.pyannote[1044].end 7253.49659375
transcript.pyannote[1045].speaker SPEAKER_08
transcript.pyannote[1045].start 7260.31409375
transcript.pyannote[1045].end 7263.85784375
transcript.pyannote[1046].speaker SPEAKER_08
transcript.pyannote[1046].start 7264.90409375
transcript.pyannote[1046].end 7268.51534375
transcript.pyannote[1047].speaker SPEAKER_08
transcript.pyannote[1047].start 7269.34221875
transcript.pyannote[1047].end 7271.50221875
transcript.pyannote[1048].speaker SPEAKER_08
transcript.pyannote[1048].start 7272.17721875
transcript.pyannote[1048].end 7279.66971875
transcript.pyannote[1049].speaker SPEAKER_08
transcript.pyannote[1049].start 7280.31096875
transcript.pyannote[1049].end 7288.83284375
transcript.pyannote[1050].speaker SPEAKER_08
transcript.pyannote[1050].start 7289.47409375
transcript.pyannote[1050].end 7292.12346875
transcript.pyannote[1051].speaker SPEAKER_08
transcript.pyannote[1051].start 7292.61284375
transcript.pyannote[1051].end 7293.76034375
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 7294.36784375
transcript.pyannote[1052].end 7298.24909375
transcript.pyannote[1053].speaker SPEAKER_08
transcript.pyannote[1053].start 7298.87346875
transcript.pyannote[1053].end 7305.94409375
transcript.pyannote[1054].speaker SPEAKER_08
transcript.pyannote[1054].start 7306.28159375
transcript.pyannote[1054].end 7307.29409375
transcript.pyannote[1055].speaker SPEAKER_08
transcript.pyannote[1055].start 7308.20534375
transcript.pyannote[1055].end 7310.07846875
transcript.pyannote[1056].speaker SPEAKER_08
transcript.pyannote[1056].start 7310.80409375
transcript.pyannote[1056].end 7314.41534375
transcript.pyannote[1057].speaker SPEAKER_08
transcript.pyannote[1057].start 7314.46596875
transcript.pyannote[1057].end 7316.50784375
transcript.pyannote[1058].speaker SPEAKER_08
transcript.pyannote[1058].start 7317.09846875
transcript.pyannote[1058].end 7317.80721875
transcript.pyannote[1059].speaker SPEAKER_08
transcript.pyannote[1059].start 7318.27971875
transcript.pyannote[1059].end 7321.89096875
transcript.pyannote[1060].speaker SPEAKER_08
transcript.pyannote[1060].start 7322.39721875
transcript.pyannote[1060].end 7323.15659375
transcript.pyannote[1061].speaker SPEAKER_08
transcript.pyannote[1061].start 7323.29159375
transcript.pyannote[1061].end 7331.08784375
transcript.pyannote[1062].speaker SPEAKER_08
transcript.pyannote[1062].start 7331.71221875
transcript.pyannote[1062].end 7334.44596875
transcript.pyannote[1063].speaker SPEAKER_08
transcript.pyannote[1063].start 7335.05346875
transcript.pyannote[1063].end 7341.12846875
transcript.pyannote[1064].speaker SPEAKER_18
transcript.pyannote[1064].start 7341.36471875
transcript.pyannote[1064].end 7341.55034375
transcript.pyannote[1065].speaker SPEAKER_08
transcript.pyannote[1065].start 7341.71909375
transcript.pyannote[1065].end 7347.97971875
transcript.pyannote[1066].speaker SPEAKER_08
transcript.pyannote[1066].start 7348.38471875
transcript.pyannote[1066].end 7352.24909375
transcript.pyannote[1067].speaker SPEAKER_08
transcript.pyannote[1067].start 7352.43471875
transcript.pyannote[1067].end 7353.86909375
transcript.pyannote[1068].speaker SPEAKER_08
transcript.pyannote[1068].start 7354.94909375
transcript.pyannote[1068].end 7357.86846875
transcript.pyannote[1069].speaker SPEAKER_08
transcript.pyannote[1069].start 7358.44221875
transcript.pyannote[1069].end 7363.58909375
transcript.pyannote[1070].speaker SPEAKER_08
transcript.pyannote[1070].start 7364.63534375
transcript.pyannote[1070].end 7375.11471875
transcript.pyannote[1071].speaker SPEAKER_08
transcript.pyannote[1071].start 7375.53659375
transcript.pyannote[1071].end 7380.59909375
transcript.pyannote[1072].speaker SPEAKER_08
transcript.pyannote[1072].start 7381.13909375
transcript.pyannote[1072].end 7401.18659375
transcript.pyannote[1073].speaker SPEAKER_08
transcript.pyannote[1073].start 7401.72659375
transcript.pyannote[1073].end 7406.38409375
transcript.pyannote[1074].speaker SPEAKER_08
transcript.pyannote[1074].start 7407.07596875
transcript.pyannote[1074].end 7409.47221875
transcript.pyannote[1075].speaker SPEAKER_08
transcript.pyannote[1075].start 7410.31596875
transcript.pyannote[1075].end 7428.27096875
transcript.pyannote[1076].speaker SPEAKER_08
transcript.pyannote[1076].start 7428.70971875
transcript.pyannote[1076].end 7433.01284375
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 7433.35034375
transcript.pyannote[1077].end 7435.74659375
transcript.pyannote[1078].speaker SPEAKER_08
transcript.pyannote[1078].start 7436.15159375
transcript.pyannote[1078].end 7496.85096875
transcript.pyannote[1079].speaker SPEAKER_15
transcript.pyannote[1079].start 7497.55971875
transcript.pyannote[1079].end 7501.67721875
transcript.pyannote[1080].speaker SPEAKER_15
transcript.pyannote[1080].start 7501.74471875
transcript.pyannote[1080].end 7509.70971875
transcript.pyannote[1081].speaker SPEAKER_15
transcript.pyannote[1081].start 7509.86159375
transcript.pyannote[1081].end 7524.84659375
transcript.pyannote[1082].speaker SPEAKER_15
transcript.pyannote[1082].start 7524.98159375
transcript.pyannote[1082].end 7525.09971875
transcript.pyannote[1083].speaker SPEAKER_15
transcript.pyannote[1083].start 7525.62284375
transcript.pyannote[1083].end 7526.39909375
transcript.pyannote[1084].speaker SPEAKER_15
transcript.pyannote[1084].start 7527.31034375
transcript.pyannote[1084].end 7563.49034375
transcript.pyannote[1085].speaker SPEAKER_00
transcript.pyannote[1085].start 7550.68221875
transcript.pyannote[1085].end 7550.71596875
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 7550.71596875
transcript.pyannote[1086].end 7551.08721875
transcript.pyannote[1087].speaker SPEAKER_00
transcript.pyannote[1087].start 7551.08721875
transcript.pyannote[1087].end 7551.22221875
transcript.pyannote[1088].speaker SPEAKER_00
transcript.pyannote[1088].start 7552.50471875
transcript.pyannote[1088].end 7552.70721875
transcript.pyannote[1089].speaker SPEAKER_00
transcript.pyannote[1089].start 7554.22596875
transcript.pyannote[1089].end 7554.25971875
transcript.pyannote[1090].speaker SPEAKER_08
transcript.pyannote[1090].start 7554.25971875
transcript.pyannote[1090].end 7554.64784375
transcript.pyannote[1091].speaker SPEAKER_15
transcript.pyannote[1091].start 7563.64221875
transcript.pyannote[1091].end 7569.75096875
transcript.pyannote[1092].speaker SPEAKER_08
transcript.pyannote[1092].start 7569.61596875
transcript.pyannote[1092].end 7597.86471875
transcript.pyannote[1093].speaker SPEAKER_17
transcript.pyannote[1093].start 7599.65346875
transcript.pyannote[1093].end 7601.00346875
transcript.pyannote[1094].speaker SPEAKER_17
transcript.pyannote[1094].start 7601.35784375
transcript.pyannote[1094].end 7602.26909375
transcript.pyannote[1095].speaker SPEAKER_17
transcript.pyannote[1095].start 7602.65721875
transcript.pyannote[1095].end 7607.50034375
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 7608.15846875
transcript.pyannote[1096].end 7616.96721875
transcript.pyannote[1097].speaker SPEAKER_25
transcript.pyannote[1097].start 7624.67909375
transcript.pyannote[1097].end 7626.97409375
transcript.pyannote[1098].speaker SPEAKER_17
transcript.pyannote[1098].start 7627.21034375
transcript.pyannote[1098].end 7628.66159375
transcript.pyannote[1099].speaker SPEAKER_25
transcript.pyannote[1099].start 7633.20096875
transcript.pyannote[1099].end 7637.25096875
transcript.pyannote[1100].speaker SPEAKER_15
transcript.pyannote[1100].start 7633.72409375
transcript.pyannote[1100].end 7634.33159375
transcript.pyannote[1101].speaker SPEAKER_25
transcript.pyannote[1101].start 7637.70659375
transcript.pyannote[1101].end 7639.95096875
transcript.pyannote[1102].speaker SPEAKER_25
transcript.pyannote[1102].start 7640.27159375
transcript.pyannote[1102].end 7642.44846875
transcript.pyannote[1103].speaker SPEAKER_25
transcript.pyannote[1103].start 7643.25846875
transcript.pyannote[1103].end 7645.33409375
transcript.pyannote[1104].speaker SPEAKER_25
transcript.pyannote[1104].start 7646.27909375
transcript.pyannote[1104].end 7647.57846875
transcript.pyannote[1105].speaker SPEAKER_25
transcript.pyannote[1105].start 7648.13534375
transcript.pyannote[1105].end 7648.86096875
transcript.pyannote[1106].speaker SPEAKER_25
transcript.pyannote[1106].start 7649.48534375
transcript.pyannote[1106].end 7653.36659375
transcript.pyannote[1107].speaker SPEAKER_25
transcript.pyannote[1107].start 7654.48034375
transcript.pyannote[1107].end 7657.90596875
transcript.pyannote[1108].speaker SPEAKER_25
transcript.pyannote[1108].start 7658.24346875
transcript.pyannote[1108].end 7660.33596875
transcript.pyannote[1109].speaker SPEAKER_25
transcript.pyannote[1109].start 7660.57221875
transcript.pyannote[1109].end 7661.31471875
transcript.pyannote[1110].speaker SPEAKER_25
transcript.pyannote[1110].start 7661.95596875
transcript.pyannote[1110].end 7662.49596875
transcript.pyannote[1111].speaker SPEAKER_25
transcript.pyannote[1111].start 7662.83346875
transcript.pyannote[1111].end 7663.64346875
transcript.pyannote[1112].speaker SPEAKER_25
transcript.pyannote[1112].start 7663.98096875
transcript.pyannote[1112].end 7664.87534375
transcript.pyannote[1113].speaker SPEAKER_25
transcript.pyannote[1113].start 7665.44909375
transcript.pyannote[1113].end 7665.88784375
transcript.pyannote[1114].speaker SPEAKER_25
transcript.pyannote[1114].start 7666.07346875
transcript.pyannote[1114].end 7666.74846875
transcript.pyannote[1115].speaker SPEAKER_25
transcript.pyannote[1115].start 7667.50784375
transcript.pyannote[1115].end 7668.23346875
transcript.pyannote[1116].speaker SPEAKER_25
transcript.pyannote[1116].start 7668.52034375
transcript.pyannote[1116].end 7669.02659375
transcript.pyannote[1117].speaker SPEAKER_25
transcript.pyannote[1117].start 7669.24596875
transcript.pyannote[1117].end 7672.99221875
transcript.pyannote[1118].speaker SPEAKER_25
transcript.pyannote[1118].start 7673.86971875
transcript.pyannote[1118].end 7677.44721875
transcript.pyannote[1119].speaker SPEAKER_25
transcript.pyannote[1119].start 7677.80159375
transcript.pyannote[1119].end 7678.94909375
transcript.pyannote[1120].speaker SPEAKER_25
transcript.pyannote[1120].start 7679.42159375
transcript.pyannote[1120].end 7680.65346875
transcript.pyannote[1121].speaker SPEAKER_25
transcript.pyannote[1121].start 7681.49721875
transcript.pyannote[1121].end 7682.10471875
transcript.pyannote[1122].speaker SPEAKER_25
transcript.pyannote[1122].start 7682.45909375
transcript.pyannote[1122].end 7685.14221875
transcript.pyannote[1123].speaker SPEAKER_25
transcript.pyannote[1123].start 7685.47971875
transcript.pyannote[1123].end 7686.69471875
transcript.pyannote[1124].speaker SPEAKER_25
transcript.pyannote[1124].start 7687.87596875
transcript.pyannote[1124].end 7689.09096875
transcript.pyannote[1125].speaker SPEAKER_25
transcript.pyannote[1125].start 7689.24284375
transcript.pyannote[1125].end 7689.73221875
transcript.pyannote[1126].speaker SPEAKER_25
transcript.pyannote[1126].start 7690.12034375
transcript.pyannote[1126].end 7691.53784375
transcript.pyannote[1127].speaker SPEAKER_25
transcript.pyannote[1127].start 7692.24659375
transcript.pyannote[1127].end 7694.03534375
transcript.pyannote[1128].speaker SPEAKER_25
transcript.pyannote[1128].start 7694.69346875
transcript.pyannote[1128].end 7695.90846875
transcript.pyannote[1129].speaker SPEAKER_25
transcript.pyannote[1129].start 7696.46534375
transcript.pyannote[1129].end 7697.02221875
transcript.pyannote[1130].speaker SPEAKER_25
transcript.pyannote[1130].start 7697.27534375
transcript.pyannote[1130].end 7703.02971875
transcript.pyannote[1131].speaker SPEAKER_25
transcript.pyannote[1131].start 7703.87346875
transcript.pyannote[1131].end 7706.08409375
transcript.pyannote[1132].speaker SPEAKER_25
transcript.pyannote[1132].start 7706.86034375
transcript.pyannote[1132].end 7713.54284375
transcript.pyannote[1133].speaker SPEAKER_25
transcript.pyannote[1133].start 7714.67346875
transcript.pyannote[1133].end 7716.10784375
transcript.pyannote[1134].speaker SPEAKER_25
transcript.pyannote[1134].start 7716.81659375
transcript.pyannote[1134].end 7717.57596875
transcript.pyannote[1135].speaker SPEAKER_25
transcript.pyannote[1135].start 7717.81221875
transcript.pyannote[1135].end 7719.04409375
transcript.pyannote[1136].speaker SPEAKER_25
transcript.pyannote[1136].start 7719.49971875
transcript.pyannote[1136].end 7724.24159375
transcript.pyannote[1137].speaker SPEAKER_25
transcript.pyannote[1137].start 7724.73096875
transcript.pyannote[1137].end 7725.35534375
transcript.pyannote[1138].speaker SPEAKER_25
transcript.pyannote[1138].start 7725.52409375
transcript.pyannote[1138].end 7726.55346875
transcript.pyannote[1139].speaker SPEAKER_25
transcript.pyannote[1139].start 7727.80221875
transcript.pyannote[1139].end 7731.22784375
transcript.pyannote[1140].speaker SPEAKER_25
transcript.pyannote[1140].start 7731.76784375
transcript.pyannote[1140].end 7732.66221875
transcript.pyannote[1141].speaker SPEAKER_25
transcript.pyannote[1141].start 7734.11346875
transcript.pyannote[1141].end 7741.25159375
transcript.pyannote[1142].speaker SPEAKER_15
transcript.pyannote[1142].start 7741.25159375
transcript.pyannote[1142].end 7753.70534375
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 7752.82784375
transcript.pyannote[1143].end 7756.10159375
transcript.pyannote[1144].speaker SPEAKER_15
transcript.pyannote[1144].start 7756.10159375
transcript.pyannote[1144].end 7764.65721875
transcript.pyannote[1145].speaker SPEAKER_25
transcript.pyannote[1145].start 7762.56471875
transcript.pyannote[1145].end 7765.78784375
transcript.pyannote[1146].speaker SPEAKER_15
transcript.pyannote[1146].start 7765.78784375
transcript.pyannote[1146].end 7765.80471875
transcript.pyannote[1147].speaker SPEAKER_15
transcript.pyannote[1147].start 7765.97346875
transcript.pyannote[1147].end 7771.79534375
transcript.pyannote[1148].speaker SPEAKER_25
transcript.pyannote[1148].start 7769.70284375
transcript.pyannote[1148].end 7776.01409375
transcript.pyannote[1149].speaker SPEAKER_25
transcript.pyannote[1149].start 7776.65534375
transcript.pyannote[1149].end 7778.52846875
transcript.pyannote[1150].speaker SPEAKER_25
transcript.pyannote[1150].start 7778.73096875
transcript.pyannote[1150].end 7779.45659375
transcript.pyannote[1151].speaker SPEAKER_15
transcript.pyannote[1151].start 7778.83221875
transcript.pyannote[1151].end 7779.23721875
transcript.pyannote[1152].speaker SPEAKER_15
transcript.pyannote[1152].start 7779.45659375
transcript.pyannote[1152].end 7779.49034375
transcript.pyannote[1153].speaker SPEAKER_15
transcript.pyannote[1153].start 7779.84471875
transcript.pyannote[1153].end 7779.86159375
transcript.pyannote[1154].speaker SPEAKER_25
transcript.pyannote[1154].start 7779.86159375
transcript.pyannote[1154].end 7779.89534375
transcript.pyannote[1155].speaker SPEAKER_15
transcript.pyannote[1155].start 7779.89534375
transcript.pyannote[1155].end 7780.41846875
transcript.pyannote[1156].speaker SPEAKER_25
transcript.pyannote[1156].start 7780.41846875
transcript.pyannote[1156].end 7780.57034375
transcript.pyannote[1157].speaker SPEAKER_15
transcript.pyannote[1157].start 7780.57034375
transcript.pyannote[1157].end 7780.65471875
transcript.pyannote[1158].speaker SPEAKER_25
transcript.pyannote[1158].start 7780.65471875
transcript.pyannote[1158].end 7780.68846875
transcript.pyannote[1159].speaker SPEAKER_15
transcript.pyannote[1159].start 7780.68846875
transcript.pyannote[1159].end 7780.84034375
transcript.pyannote[1160].speaker SPEAKER_25
transcript.pyannote[1160].start 7780.84034375
transcript.pyannote[1160].end 7780.97534375
transcript.pyannote[1161].speaker SPEAKER_15
transcript.pyannote[1161].start 7780.97534375
transcript.pyannote[1161].end 7783.96221875
transcript.pyannote[1162].speaker SPEAKER_25
transcript.pyannote[1162].start 7783.23659375
transcript.pyannote[1162].end 7791.55596875
transcript.pyannote[1163].speaker SPEAKER_15
transcript.pyannote[1163].start 7791.55596875
transcript.pyannote[1163].end 7795.77471875
transcript.pyannote[1164].speaker SPEAKER_25
transcript.pyannote[1164].start 7792.72034375
transcript.pyannote[1164].end 7802.87909375
transcript.pyannote[1165].speaker SPEAKER_15
transcript.pyannote[1165].start 7800.02721875
transcript.pyannote[1165].end 7802.10284375
transcript.pyannote[1166].speaker SPEAKER_25
transcript.pyannote[1166].start 7803.52034375
transcript.pyannote[1166].end 7804.56659375
transcript.pyannote[1167].speaker SPEAKER_25
transcript.pyannote[1167].start 7805.20784375
transcript.pyannote[1167].end 7810.96221875
transcript.pyannote[1168].speaker SPEAKER_25
transcript.pyannote[1168].start 7811.09721875
transcript.pyannote[1168].end 7812.97034375
transcript.pyannote[1169].speaker SPEAKER_15
transcript.pyannote[1169].start 7812.97034375
transcript.pyannote[1169].end 7822.60596875
transcript.pyannote[1170].speaker SPEAKER_15
transcript.pyannote[1170].start 7823.33159375
transcript.pyannote[1170].end 7839.76784375
transcript.pyannote[1171].speaker SPEAKER_25
transcript.pyannote[1171].start 7826.11596875
transcript.pyannote[1171].end 7826.68971875
transcript.pyannote[1172].speaker SPEAKER_15
transcript.pyannote[1172].start 7840.18971875
transcript.pyannote[1172].end 7846.72034375
transcript.pyannote[1173].speaker SPEAKER_15
transcript.pyannote[1173].start 7847.00721875
transcript.pyannote[1173].end 7848.12096875
transcript.pyannote[1174].speaker SPEAKER_15
transcript.pyannote[1174].start 7848.45846875
transcript.pyannote[1174].end 7849.97721875
transcript.pyannote[1175].speaker SPEAKER_25
transcript.pyannote[1175].start 7849.97721875
transcript.pyannote[1175].end 7856.96346875
transcript.pyannote[1176].speaker SPEAKER_15
transcript.pyannote[1176].start 7850.04471875
transcript.pyannote[1176].end 7850.70284375
transcript.pyannote[1177].speaker SPEAKER_15
transcript.pyannote[1177].start 7856.96346875
transcript.pyannote[1177].end 7857.89159375
transcript.pyannote[1178].speaker SPEAKER_25
transcript.pyannote[1178].start 7857.89159375
transcript.pyannote[1178].end 7858.02659375
transcript.pyannote[1179].speaker SPEAKER_15
transcript.pyannote[1179].start 7858.02659375
transcript.pyannote[1179].end 7864.69221875
transcript.pyannote[1180].speaker SPEAKER_15
transcript.pyannote[1180].start 7865.16471875
transcript.pyannote[1180].end 7867.12221875
transcript.pyannote[1181].speaker SPEAKER_15
transcript.pyannote[1181].start 7867.59471875
transcript.pyannote[1181].end 7868.03346875
transcript.pyannote[1182].speaker SPEAKER_25
transcript.pyannote[1182].start 7868.03346875
transcript.pyannote[1182].end 7870.78409375
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 7871.03721875
transcript.pyannote[1183].end 7875.66096875
transcript.pyannote[1184].speaker SPEAKER_25
transcript.pyannote[1184].start 7876.50471875
transcript.pyannote[1184].end 7877.09534375
transcript.pyannote[1185].speaker SPEAKER_25
transcript.pyannote[1185].start 7877.58471875
transcript.pyannote[1185].end 7878.69846875
transcript.pyannote[1186].speaker SPEAKER_25
transcript.pyannote[1186].start 7878.79971875
transcript.pyannote[1186].end 7881.78659375
transcript.pyannote[1187].speaker SPEAKER_25
transcript.pyannote[1187].start 7882.63034375
transcript.pyannote[1187].end 7885.75221875
transcript.pyannote[1188].speaker SPEAKER_25
transcript.pyannote[1188].start 7886.42721875
transcript.pyannote[1188].end 7888.65471875
transcript.pyannote[1189].speaker SPEAKER_25
transcript.pyannote[1189].start 7889.14409375
transcript.pyannote[1189].end 7889.85284375
transcript.pyannote[1190].speaker SPEAKER_25
transcript.pyannote[1190].start 7890.22409375
transcript.pyannote[1190].end 7892.02971875
transcript.pyannote[1191].speaker SPEAKER_25
transcript.pyannote[1191].start 7892.50221875
transcript.pyannote[1191].end 7900.33221875
transcript.pyannote[1192].speaker SPEAKER_15
transcript.pyannote[1192].start 7895.77596875
transcript.pyannote[1192].end 7896.29909375
transcript.pyannote[1193].speaker SPEAKER_11
transcript.pyannote[1193].start 7896.29909375
transcript.pyannote[1193].end 7896.33284375
transcript.pyannote[1194].speaker SPEAKER_15
transcript.pyannote[1194].start 7902.13784375
transcript.pyannote[1194].end 7908.75284375
transcript.pyannote[1195].speaker SPEAKER_25
transcript.pyannote[1195].start 7907.25096875
transcript.pyannote[1195].end 7917.98346875
transcript.pyannote[1196].speaker SPEAKER_15
transcript.pyannote[1196].start 7917.29159375
transcript.pyannote[1196].end 7923.18096875
transcript.pyannote[1197].speaker SPEAKER_25
transcript.pyannote[1197].start 7923.26534375
transcript.pyannote[1197].end 7924.00784375
transcript.pyannote[1198].speaker SPEAKER_25
transcript.pyannote[1198].start 7924.24409375
transcript.pyannote[1198].end 7935.88784375
transcript.pyannote[1199].speaker SPEAKER_15
transcript.pyannote[1199].start 7931.24721875
transcript.pyannote[1199].end 7931.97284375
transcript.pyannote[1200].speaker SPEAKER_01
transcript.pyannote[1200].start 7931.97284375
transcript.pyannote[1200].end 7932.02346875
transcript.pyannote[1201].speaker SPEAKER_02
transcript.pyannote[1201].start 7932.02346875
transcript.pyannote[1201].end 7932.90096875
transcript.pyannote[1202].speaker SPEAKER_01
transcript.pyannote[1202].start 7932.90096875
transcript.pyannote[1202].end 7932.96846875
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 7935.43221875
transcript.pyannote[1203].end 7935.87096875
transcript.pyannote[1204].speaker SPEAKER_02
transcript.pyannote[1204].start 7935.88784375
transcript.pyannote[1204].end 7936.19159375
transcript.pyannote[1205].speaker SPEAKER_25
transcript.pyannote[1205].start 7936.19159375
transcript.pyannote[1205].end 7944.98346875
transcript.pyannote[1206].speaker SPEAKER_25
transcript.pyannote[1206].start 7946.19846875
transcript.pyannote[1206].end 7946.67096875
transcript.pyannote[1207].speaker SPEAKER_25
transcript.pyannote[1207].start 7947.54846875
transcript.pyannote[1207].end 7947.97034375
transcript.pyannote[1208].speaker SPEAKER_15
transcript.pyannote[1208].start 7947.97034375
transcript.pyannote[1208].end 7948.39221875
transcript.pyannote[1209].speaker SPEAKER_25
transcript.pyannote[1209].start 7948.71284375
transcript.pyannote[1209].end 7948.76346875
transcript.pyannote[1210].speaker SPEAKER_15
transcript.pyannote[1210].start 7948.76346875
transcript.pyannote[1210].end 7954.12971875
transcript.pyannote[1211].speaker SPEAKER_15
transcript.pyannote[1211].start 7954.38284375
transcript.pyannote[1211].end 7959.83346875
transcript.pyannote[1212].speaker SPEAKER_25
transcript.pyannote[1212].start 7959.83346875
transcript.pyannote[1212].end 7975.45971875
transcript.pyannote[1213].speaker SPEAKER_00
transcript.pyannote[1213].start 7966.38096875
transcript.pyannote[1213].end 7966.63409375
transcript.pyannote[1214].speaker SPEAKER_02
transcript.pyannote[1214].start 7969.95846875
transcript.pyannote[1214].end 7971.34221875
transcript.pyannote[1215].speaker SPEAKER_25
transcript.pyannote[1215].start 7975.83096875
transcript.pyannote[1215].end 7978.71659375
transcript.pyannote[1216].speaker SPEAKER_25
transcript.pyannote[1216].start 7979.52659375
transcript.pyannote[1216].end 7980.33659375
transcript.pyannote[1217].speaker SPEAKER_25
transcript.pyannote[1217].start 7981.31534375
transcript.pyannote[1217].end 7981.75409375
transcript.pyannote[1218].speaker SPEAKER_25
transcript.pyannote[1218].start 7983.01971875
transcript.pyannote[1218].end 7985.78721875
transcript.pyannote[1219].speaker SPEAKER_25
transcript.pyannote[1219].start 7986.36096875
transcript.pyannote[1219].end 7988.75721875
transcript.pyannote[1220].speaker SPEAKER_25
transcript.pyannote[1220].start 7989.31409375
transcript.pyannote[1220].end 7990.51221875
transcript.pyannote[1221].speaker SPEAKER_25
transcript.pyannote[1221].start 7990.78221875
transcript.pyannote[1221].end 7991.45721875
transcript.pyannote[1222].speaker SPEAKER_25
transcript.pyannote[1222].start 7991.74409375
transcript.pyannote[1222].end 7993.54971875
transcript.pyannote[1223].speaker SPEAKER_25
transcript.pyannote[1223].start 7994.32596875
transcript.pyannote[1223].end 7995.20346875
transcript.pyannote[1224].speaker SPEAKER_25
transcript.pyannote[1224].start 7995.43971875
transcript.pyannote[1224].end 7996.95846875
transcript.pyannote[1225].speaker SPEAKER_25
transcript.pyannote[1225].start 7998.02159375
transcript.pyannote[1225].end 8002.57784375
transcript.pyannote[1226].speaker SPEAKER_25
transcript.pyannote[1226].start 8003.59034375
transcript.pyannote[1226].end 8005.12596875
transcript.pyannote[1227].speaker SPEAKER_25
transcript.pyannote[1227].start 8006.66159375
transcript.pyannote[1227].end 8009.02409375
transcript.pyannote[1228].speaker SPEAKER_25
transcript.pyannote[1228].start 8009.27721875
transcript.pyannote[1228].end 8009.61471875
transcript.pyannote[1229].speaker SPEAKER_25
transcript.pyannote[1229].start 8009.78346875
transcript.pyannote[1229].end 8010.57659375
transcript.pyannote[1230].speaker SPEAKER_25
transcript.pyannote[1230].start 8011.47096875
transcript.pyannote[1230].end 8012.50034375
transcript.pyannote[1231].speaker SPEAKER_25
transcript.pyannote[1231].start 8012.71971875
transcript.pyannote[1231].end 8013.27659375
transcript.pyannote[1232].speaker SPEAKER_25
transcript.pyannote[1232].start 8014.20471875
transcript.pyannote[1232].end 8014.86284375
transcript.pyannote[1233].speaker SPEAKER_25
transcript.pyannote[1233].start 8015.82471875
transcript.pyannote[1233].end 8016.87096875
transcript.pyannote[1234].speaker SPEAKER_15
transcript.pyannote[1234].start 8016.87096875
transcript.pyannote[1234].end 8016.90471875
transcript.pyannote[1235].speaker SPEAKER_25
transcript.pyannote[1235].start 8017.98471875
transcript.pyannote[1235].end 8018.00159375
transcript.pyannote[1236].speaker SPEAKER_15
transcript.pyannote[1236].start 8018.00159375
transcript.pyannote[1236].end 8026.25346875
transcript.pyannote[1237].speaker SPEAKER_15
transcript.pyannote[1237].start 8026.62471875
transcript.pyannote[1237].end 8030.05034375
transcript.pyannote[1238].speaker SPEAKER_15
transcript.pyannote[1238].start 8030.06721875
transcript.pyannote[1238].end 8031.24846875
transcript.pyannote[1239].speaker SPEAKER_15
transcript.pyannote[1239].start 8031.41721875
transcript.pyannote[1239].end 8037.17159375
transcript.pyannote[1240].speaker SPEAKER_25
transcript.pyannote[1240].start 8035.82159375
transcript.pyannote[1240].end 8040.95159375
transcript.pyannote[1241].speaker SPEAKER_25
transcript.pyannote[1241].start 8041.74471875
transcript.pyannote[1241].end 8042.87534375
transcript.pyannote[1242].speaker SPEAKER_25
transcript.pyannote[1242].start 8043.51659375
transcript.pyannote[1242].end 8043.92159375
transcript.pyannote[1243].speaker SPEAKER_25
transcript.pyannote[1243].start 8043.93846875
transcript.pyannote[1243].end 8047.93784375
transcript.pyannote[1244].speaker SPEAKER_25
transcript.pyannote[1244].start 8048.42721875
transcript.pyannote[1244].end 8050.33409375
transcript.pyannote[1245].speaker SPEAKER_25
transcript.pyannote[1245].start 8050.48596875
transcript.pyannote[1245].end 8052.39284375
transcript.pyannote[1246].speaker SPEAKER_25
transcript.pyannote[1246].start 8052.71346875
transcript.pyannote[1246].end 8056.12221875
transcript.pyannote[1247].speaker SPEAKER_25
transcript.pyannote[1247].start 8056.83096875
transcript.pyannote[1247].end 8059.48034375
transcript.pyannote[1248].speaker SPEAKER_25
transcript.pyannote[1248].start 8059.69971875
transcript.pyannote[1248].end 8059.96971875
transcript.pyannote[1249].speaker SPEAKER_15
transcript.pyannote[1249].start 8059.96971875
transcript.pyannote[1249].end 8060.08784375
transcript.pyannote[1250].speaker SPEAKER_25
transcript.pyannote[1250].start 8060.59409375
transcript.pyannote[1250].end 8060.61096875
transcript.pyannote[1251].speaker SPEAKER_15
transcript.pyannote[1251].start 8060.61096875
transcript.pyannote[1251].end 8065.87596875
transcript.pyannote[1252].speaker SPEAKER_15
transcript.pyannote[1252].start 8066.19659375
transcript.pyannote[1252].end 8076.77721875
transcript.pyannote[1253].speaker SPEAKER_25
transcript.pyannote[1253].start 8073.36846875
transcript.pyannote[1253].end 8092.84221875
transcript.pyannote[1254].speaker SPEAKER_15
transcript.pyannote[1254].start 8079.76409375
transcript.pyannote[1254].end 8080.45596875
transcript.pyannote[1255].speaker SPEAKER_25
transcript.pyannote[1255].start 8092.96034375
transcript.pyannote[1255].end 8094.52971875
transcript.pyannote[1256].speaker SPEAKER_25
transcript.pyannote[1256].start 8094.73221875
transcript.pyannote[1256].end 8095.00221875
transcript.pyannote[1257].speaker SPEAKER_25
transcript.pyannote[1257].start 8095.20471875
transcript.pyannote[1257].end 8096.94284375
transcript.pyannote[1258].speaker SPEAKER_17
transcript.pyannote[1258].start 8099.60909375
transcript.pyannote[1258].end 8100.89159375
transcript.pyannote[1259].speaker SPEAKER_17
transcript.pyannote[1259].start 8101.46534375
transcript.pyannote[1259].end 8103.25409375
transcript.pyannote[1260].speaker SPEAKER_17
transcript.pyannote[1260].start 8103.37221875
transcript.pyannote[1260].end 8105.00909375
transcript.pyannote[1261].speaker SPEAKER_17
transcript.pyannote[1261].start 8669.24159375
transcript.pyannote[1261].end 8670.99659375
transcript.pyannote[1262].speaker SPEAKER_17
transcript.pyannote[1262].start 8671.41846875
transcript.pyannote[1262].end 8674.57409375
transcript.pyannote[1263].speaker SPEAKER_17
transcript.pyannote[1263].start 8675.14784375
transcript.pyannote[1263].end 8678.30346875
transcript.pyannote[1264].speaker SPEAKER_17
transcript.pyannote[1264].start 8678.70846875
transcript.pyannote[1264].end 8681.66159375
transcript.pyannote[1265].speaker SPEAKER_17
transcript.pyannote[1265].start 8681.94846875
transcript.pyannote[1265].end 8683.99034375
transcript.pyannote[1266].speaker SPEAKER_21
transcript.pyannote[1266].start 8691.76971875
transcript.pyannote[1266].end 8695.16159375
transcript.pyannote[1267].speaker SPEAKER_21
transcript.pyannote[1267].start 8695.76909375
transcript.pyannote[1267].end 8696.84909375
transcript.pyannote[1268].speaker SPEAKER_20
transcript.pyannote[1268].start 8701.32096875
transcript.pyannote[1268].end 8701.97909375
transcript.pyannote[1269].speaker SPEAKER_20
transcript.pyannote[1269].start 8702.78909375
transcript.pyannote[1269].end 8703.91971875
transcript.pyannote[1270].speaker SPEAKER_20
transcript.pyannote[1270].start 8704.64534375
transcript.pyannote[1270].end 8710.61909375
transcript.pyannote[1271].speaker SPEAKER_20
transcript.pyannote[1271].start 8711.05784375
transcript.pyannote[1271].end 8715.37784375
transcript.pyannote[1272].speaker SPEAKER_20
transcript.pyannote[1272].start 8715.42846875
transcript.pyannote[1272].end 8726.14409375
transcript.pyannote[1273].speaker SPEAKER_20
transcript.pyannote[1273].start 8726.39721875
transcript.pyannote[1273].end 8727.07221875
transcript.pyannote[1274].speaker SPEAKER_15
transcript.pyannote[1274].start 8726.39721875
transcript.pyannote[1274].end 8730.90284375
transcript.pyannote[1275].speaker SPEAKER_20
transcript.pyannote[1275].start 8730.90284375
transcript.pyannote[1275].end 8740.04909375
transcript.pyannote[1276].speaker SPEAKER_20
transcript.pyannote[1276].start 8740.18409375
transcript.pyannote[1276].end 8741.97284375
transcript.pyannote[1277].speaker SPEAKER_20
transcript.pyannote[1277].start 8742.41159375
transcript.pyannote[1277].end 8746.91721875
transcript.pyannote[1278].speaker SPEAKER_18
transcript.pyannote[1278].start 8746.91721875
transcript.pyannote[1278].end 8747.30534375
transcript.pyannote[1279].speaker SPEAKER_20
transcript.pyannote[1279].start 8747.30534375
transcript.pyannote[1279].end 8762.52659375
transcript.pyannote[1280].speaker SPEAKER_20
transcript.pyannote[1280].start 8763.10034375
transcript.pyannote[1280].end 8766.81284375
transcript.pyannote[1281].speaker SPEAKER_20
transcript.pyannote[1281].start 8767.08284375
transcript.pyannote[1281].end 8771.16659375
transcript.pyannote[1282].speaker SPEAKER_20
transcript.pyannote[1282].start 8771.31846875
transcript.pyannote[1282].end 8772.66846875
transcript.pyannote[1283].speaker SPEAKER_20
transcript.pyannote[1283].start 8773.03971875
transcript.pyannote[1283].end 8775.68909375
transcript.pyannote[1284].speaker SPEAKER_20
transcript.pyannote[1284].start 8775.90846875
transcript.pyannote[1284].end 8777.17409375
transcript.pyannote[1285].speaker SPEAKER_20
transcript.pyannote[1285].start 8777.52846875
transcript.pyannote[1285].end 8780.93721875
transcript.pyannote[1286].speaker SPEAKER_20
transcript.pyannote[1286].start 8781.17346875
transcript.pyannote[1286].end 8783.65409375
transcript.pyannote[1287].speaker SPEAKER_20
transcript.pyannote[1287].start 8783.87346875
transcript.pyannote[1287].end 8784.98721875
transcript.pyannote[1288].speaker SPEAKER_20
transcript.pyannote[1288].start 8785.27409375
transcript.pyannote[1288].end 8789.23971875
transcript.pyannote[1289].speaker SPEAKER_20
transcript.pyannote[1289].start 8789.47596875
transcript.pyannote[1289].end 8791.53471875
transcript.pyannote[1290].speaker SPEAKER_20
transcript.pyannote[1290].start 8791.72034375
transcript.pyannote[1290].end 8792.71596875
transcript.pyannote[1291].speaker SPEAKER_20
transcript.pyannote[1291].start 8792.81721875
transcript.pyannote[1291].end 8795.82096875
transcript.pyannote[1292].speaker SPEAKER_20
transcript.pyannote[1292].start 8796.17534375
transcript.pyannote[1292].end 8801.05221875
transcript.pyannote[1293].speaker SPEAKER_20
transcript.pyannote[1293].start 8801.08596875
transcript.pyannote[1293].end 8804.35971875
transcript.pyannote[1294].speaker SPEAKER_20
transcript.pyannote[1294].start 8804.62971875
transcript.pyannote[1294].end 8809.92846875
transcript.pyannote[1295].speaker SPEAKER_20
transcript.pyannote[1295].start 8810.43471875
transcript.pyannote[1295].end 8812.67909375
transcript.pyannote[1296].speaker SPEAKER_20
transcript.pyannote[1296].start 8812.99971875
transcript.pyannote[1296].end 8817.45471875
transcript.pyannote[1297].speaker SPEAKER_20
transcript.pyannote[1297].start 8817.53909375
transcript.pyannote[1297].end 8822.06159375
transcript.pyannote[1298].speaker SPEAKER_20
transcript.pyannote[1298].start 8822.14596875
transcript.pyannote[1298].end 8824.72784375
transcript.pyannote[1299].speaker SPEAKER_20
transcript.pyannote[1299].start 8824.98096875
transcript.pyannote[1299].end 8826.71909375
transcript.pyannote[1300].speaker SPEAKER_20
transcript.pyannote[1300].start 8826.95534375
transcript.pyannote[1300].end 8837.01284375
transcript.pyannote[1301].speaker SPEAKER_20
transcript.pyannote[1301].start 8837.11409375
transcript.pyannote[1301].end 8843.49284375
transcript.pyannote[1302].speaker SPEAKER_20
transcript.pyannote[1302].start 8843.69534375
transcript.pyannote[1302].end 8845.02846875
transcript.pyannote[1303].speaker SPEAKER_20
transcript.pyannote[1303].start 8845.29846875
transcript.pyannote[1303].end 8849.19659375
transcript.pyannote[1304].speaker SPEAKER_20
transcript.pyannote[1304].start 8849.34846875
transcript.pyannote[1304].end 8850.56346875
transcript.pyannote[1305].speaker SPEAKER_20
transcript.pyannote[1305].start 8850.76596875
transcript.pyannote[1305].end 8853.21284375
transcript.pyannote[1306].speaker SPEAKER_20
transcript.pyannote[1306].start 8853.43221875
transcript.pyannote[1306].end 8855.99721875
transcript.pyannote[1307].speaker SPEAKER_20
transcript.pyannote[1307].start 8856.21659375
transcript.pyannote[1307].end 8858.51159375
transcript.pyannote[1308].speaker SPEAKER_20
transcript.pyannote[1308].start 8858.59596875
transcript.pyannote[1308].end 8860.18221875
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 8862.54471875
transcript.pyannote[1309].end 8863.48971875
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 8863.75971875
transcript.pyannote[1310].end 8869.12596875
transcript.pyannote[1311].speaker SPEAKER_18
transcript.pyannote[1311].start 8869.12596875
transcript.pyannote[1311].end 8869.49721875
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 8869.49721875
transcript.pyannote[1312].end 8907.55034375
transcript.pyannote[1313].speaker SPEAKER_20
transcript.pyannote[1313].start 8906.87534375
transcript.pyannote[1313].end 8913.55784375
transcript.pyannote[1314].speaker SPEAKER_20
transcript.pyannote[1314].start 8913.72659375
transcript.pyannote[1314].end 8915.41409375
transcript.pyannote[1315].speaker SPEAKER_20
transcript.pyannote[1315].start 8915.59971875
transcript.pyannote[1315].end 8919.39659375
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 8919.39659375
transcript.pyannote[1316].end 8919.58221875
transcript.pyannote[1317].speaker SPEAKER_20
transcript.pyannote[1317].start 8919.58221875
transcript.pyannote[1317].end 8931.04034375
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 8919.63284375
transcript.pyannote[1318].end 8919.95346875
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 8931.37784375
transcript.pyannote[1319].end 8933.33534375
transcript.pyannote[1320].speaker SPEAKER_15
transcript.pyannote[1320].start 8933.62221875
transcript.pyannote[1320].end 8936.59221875
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 8936.81159375
transcript.pyannote[1321].end 8936.84534375
transcript.pyannote[1322].speaker SPEAKER_20
transcript.pyannote[1322].start 8936.84534375
transcript.pyannote[1322].end 8937.26721875
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 8937.26721875
transcript.pyannote[1323].end 8937.31784375
transcript.pyannote[1324].speaker SPEAKER_20
transcript.pyannote[1324].start 8937.31784375
transcript.pyannote[1324].end 8937.67221875
transcript.pyannote[1325].speaker SPEAKER_20
transcript.pyannote[1325].start 8938.06034375
transcript.pyannote[1325].end 8940.25409375
transcript.pyannote[1326].speaker SPEAKER_20
transcript.pyannote[1326].start 8940.60846875
transcript.pyannote[1326].end 8942.09346875
transcript.pyannote[1327].speaker SPEAKER_20
transcript.pyannote[1327].start 8942.32971875
transcript.pyannote[1327].end 8943.17346875
transcript.pyannote[1328].speaker SPEAKER_20
transcript.pyannote[1328].start 8943.51096875
transcript.pyannote[1328].end 8957.11221875
transcript.pyannote[1329].speaker SPEAKER_20
transcript.pyannote[1329].start 8957.85471875
transcript.pyannote[1329].end 8961.39846875
transcript.pyannote[1330].speaker SPEAKER_20
transcript.pyannote[1330].start 8961.92159375
transcript.pyannote[1330].end 8966.47784375
transcript.pyannote[1331].speaker SPEAKER_20
transcript.pyannote[1331].start 8966.66346875
transcript.pyannote[1331].end 8968.68846875
transcript.pyannote[1332].speaker SPEAKER_20
transcript.pyannote[1332].start 8968.70534375
transcript.pyannote[1332].end 8968.72221875
transcript.pyannote[1333].speaker SPEAKER_18
transcript.pyannote[1333].start 8968.72221875
transcript.pyannote[1333].end 8969.12721875
transcript.pyannote[1334].speaker SPEAKER_20
transcript.pyannote[1334].start 8969.05971875
transcript.pyannote[1334].end 8972.82284375
transcript.pyannote[1335].speaker SPEAKER_20
transcript.pyannote[1335].start 8973.32909375
transcript.pyannote[1335].end 8974.91534375
transcript.pyannote[1336].speaker SPEAKER_20
transcript.pyannote[1336].start 8975.72534375
transcript.pyannote[1336].end 8976.65346875
transcript.pyannote[1337].speaker SPEAKER_20
transcript.pyannote[1337].start 8977.09221875
transcript.pyannote[1337].end 8978.81346875
transcript.pyannote[1338].speaker SPEAKER_20
transcript.pyannote[1338].start 8979.31971875
transcript.pyannote[1338].end 8983.03221875
transcript.pyannote[1339].speaker SPEAKER_20
transcript.pyannote[1339].start 8983.62284375
transcript.pyannote[1339].end 8984.53409375
transcript.pyannote[1340].speaker SPEAKER_20
transcript.pyannote[1340].start 8985.00659375
transcript.pyannote[1340].end 8988.48284375
transcript.pyannote[1341].speaker SPEAKER_20
transcript.pyannote[1341].start 8989.29284375
transcript.pyannote[1341].end 8996.58284375
transcript.pyannote[1342].speaker SPEAKER_20
transcript.pyannote[1342].start 8997.15659375
transcript.pyannote[1342].end 8997.62909375
transcript.pyannote[1343].speaker SPEAKER_20
transcript.pyannote[1343].start 8997.69659375
transcript.pyannote[1343].end 9000.85221875
transcript.pyannote[1344].speaker SPEAKER_20
transcript.pyannote[1344].start 9001.12221875
transcript.pyannote[1344].end 9005.17221875
transcript.pyannote[1345].speaker SPEAKER_20
transcript.pyannote[1345].start 9005.44221875
transcript.pyannote[1345].end 9006.70784375
transcript.pyannote[1346].speaker SPEAKER_20
transcript.pyannote[1346].start 9007.14659375
transcript.pyannote[1346].end 9007.45034375
transcript.pyannote[1347].speaker SPEAKER_20
transcript.pyannote[1347].start 9007.78784375
transcript.pyannote[1347].end 9007.90596875
transcript.pyannote[1348].speaker SPEAKER_20
transcript.pyannote[1348].start 9008.27721875
transcript.pyannote[1348].end 9008.36159375
transcript.pyannote[1349].speaker SPEAKER_20
transcript.pyannote[1349].start 9008.41221875
transcript.pyannote[1349].end 9009.25596875
transcript.pyannote[1350].speaker SPEAKER_20
transcript.pyannote[1350].start 9009.45846875
transcript.pyannote[1350].end 9010.15034375
transcript.pyannote[1351].speaker SPEAKER_20
transcript.pyannote[1351].start 9010.69034375
transcript.pyannote[1351].end 9011.33159375
transcript.pyannote[1352].speaker SPEAKER_20
transcript.pyannote[1352].start 9011.83784375
transcript.pyannote[1352].end 9013.39034375
transcript.pyannote[1353].speaker SPEAKER_15
transcript.pyannote[1353].start 9013.57596875
transcript.pyannote[1353].end 9014.09909375
transcript.pyannote[1354].speaker SPEAKER_20
transcript.pyannote[1354].start 9014.09909375
transcript.pyannote[1354].end 9014.40284375
transcript.pyannote[1355].speaker SPEAKER_20
transcript.pyannote[1355].start 9015.24659375
transcript.pyannote[1355].end 9022.99221875
transcript.pyannote[1356].speaker SPEAKER_20
transcript.pyannote[1356].start 9023.43096875
transcript.pyannote[1356].end 9030.45096875
transcript.pyannote[1357].speaker SPEAKER_15
transcript.pyannote[1357].start 9025.30409375
transcript.pyannote[1357].end 9025.96221875
transcript.pyannote[1358].speaker SPEAKER_01
transcript.pyannote[1358].start 9025.96221875
transcript.pyannote[1358].end 9026.14784375
transcript.pyannote[1359].speaker SPEAKER_25
transcript.pyannote[1359].start 9026.14784375
transcript.pyannote[1359].end 9026.23221875
transcript.pyannote[1360].speaker SPEAKER_03
transcript.pyannote[1360].start 9026.23221875
transcript.pyannote[1360].end 9026.29971875
transcript.pyannote[1361].speaker SPEAKER_01
transcript.pyannote[1361].start 9026.29971875
transcript.pyannote[1361].end 9027.49784375
transcript.pyannote[1362].speaker SPEAKER_01
transcript.pyannote[1362].start 9029.92784375
transcript.pyannote[1362].end 9030.24846875
transcript.pyannote[1363].speaker SPEAKER_20
transcript.pyannote[1363].start 9031.26096875
transcript.pyannote[1363].end 9035.78346875
transcript.pyannote[1364].speaker SPEAKER_20
transcript.pyannote[1364].start 9036.25596875
transcript.pyannote[1364].end 9038.68596875
transcript.pyannote[1365].speaker SPEAKER_20
transcript.pyannote[1365].start 9039.07409375
transcript.pyannote[1365].end 9040.57596875
transcript.pyannote[1366].speaker SPEAKER_20
transcript.pyannote[1366].start 9041.01471875
transcript.pyannote[1366].end 9075.55784375
transcript.pyannote[1367].speaker SPEAKER_20
transcript.pyannote[1367].start 9075.69284375
transcript.pyannote[1367].end 9075.96284375
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 9075.96284375
transcript.pyannote[1368].end 9090.64409375
transcript.pyannote[1369].speaker SPEAKER_20
transcript.pyannote[1369].start 9081.61596875
transcript.pyannote[1369].end 9082.96596875
transcript.pyannote[1370].speaker SPEAKER_13
transcript.pyannote[1370].start 9082.96596875
transcript.pyannote[1370].end 9083.25284375
transcript.pyannote[1371].speaker SPEAKER_20
transcript.pyannote[1371].start 9083.25284375
transcript.pyannote[1371].end 9083.28659375
transcript.pyannote[1372].speaker SPEAKER_13
transcript.pyannote[1372].start 9083.86034375
transcript.pyannote[1372].end 9084.87284375
transcript.pyannote[1373].speaker SPEAKER_18
transcript.pyannote[1373].start 9084.87284375
transcript.pyannote[1373].end 9084.90659375
transcript.pyannote[1374].speaker SPEAKER_11
transcript.pyannote[1374].start 9086.86409375
transcript.pyannote[1374].end 9086.88096875
transcript.pyannote[1375].speaker SPEAKER_18
transcript.pyannote[1375].start 9086.88096875
transcript.pyannote[1375].end 9088.23096875
transcript.pyannote[1376].speaker SPEAKER_18
transcript.pyannote[1376].start 9090.64409375
transcript.pyannote[1376].end 9090.96471875
transcript.pyannote[1377].speaker SPEAKER_15
transcript.pyannote[1377].start 9090.96471875
transcript.pyannote[1377].end 9092.60159375
transcript.pyannote[1378].speaker SPEAKER_18
transcript.pyannote[1378].start 9090.99846875
transcript.pyannote[1378].end 9091.08284375
transcript.pyannote[1379].speaker SPEAKER_18
transcript.pyannote[1379].start 9092.48346875
transcript.pyannote[1379].end 9093.19221875
transcript.pyannote[1380].speaker SPEAKER_15
transcript.pyannote[1380].start 9093.19221875
transcript.pyannote[1380].end 9096.02721875
transcript.pyannote[1381].speaker SPEAKER_18
transcript.pyannote[1381].start 9095.94284375
transcript.pyannote[1381].end 9096.31409375
transcript.pyannote[1382].speaker SPEAKER_15
transcript.pyannote[1382].start 9096.31409375
transcript.pyannote[1382].end 9103.70534375
transcript.pyannote[1383].speaker SPEAKER_18
transcript.pyannote[1383].start 9103.70534375
transcript.pyannote[1383].end 9103.97534375
transcript.pyannote[1384].speaker SPEAKER_15
transcript.pyannote[1384].start 9103.97534375
transcript.pyannote[1384].end 9118.82534375
transcript.pyannote[1385].speaker SPEAKER_15
transcript.pyannote[1385].start 9119.14596875
transcript.pyannote[1385].end 9120.59721875
transcript.pyannote[1386].speaker SPEAKER_15
transcript.pyannote[1386].start 9121.82909375
transcript.pyannote[1386].end 9122.33534375
transcript.pyannote[1387].speaker SPEAKER_15
transcript.pyannote[1387].start 9123.11159375
transcript.pyannote[1387].end 9131.27909375
transcript.pyannote[1388].speaker SPEAKER_15
transcript.pyannote[1388].start 9131.58284375
transcript.pyannote[1388].end 9139.54784375
transcript.pyannote[1389].speaker SPEAKER_15
transcript.pyannote[1389].start 9139.66596875
transcript.pyannote[1389].end 9140.89784375
transcript.pyannote[1390].speaker SPEAKER_15
transcript.pyannote[1390].start 9141.20159375
transcript.pyannote[1390].end 9147.12471875
transcript.pyannote[1391].speaker SPEAKER_15
transcript.pyannote[1391].start 9147.47909375
transcript.pyannote[1391].end 9150.26346875
transcript.pyannote[1392].speaker SPEAKER_21
transcript.pyannote[1392].start 9150.68534375
transcript.pyannote[1392].end 9150.70221875
transcript.pyannote[1393].speaker SPEAKER_15
transcript.pyannote[1393].start 9150.70221875
transcript.pyannote[1393].end 9152.47409375
transcript.pyannote[1394].speaker SPEAKER_21
transcript.pyannote[1394].start 9150.75284375
transcript.pyannote[1394].end 9150.76971875
transcript.pyannote[1395].speaker SPEAKER_20
transcript.pyannote[1395].start 9150.76971875
transcript.pyannote[1395].end 9152.20409375
transcript.pyannote[1396].speaker SPEAKER_20
transcript.pyannote[1396].start 9152.35596875
transcript.pyannote[1396].end 9154.58346875
transcript.pyannote[1397].speaker SPEAKER_15
transcript.pyannote[1397].start 9154.58346875
transcript.pyannote[1397].end 9155.34284375
transcript.pyannote[1398].speaker SPEAKER_20
transcript.pyannote[1398].start 9155.00534375
transcript.pyannote[1398].end 9159.56159375
transcript.pyannote[1399].speaker SPEAKER_20
transcript.pyannote[1399].start 9159.94971875
transcript.pyannote[1399].end 9161.94096875
transcript.pyannote[1400].speaker SPEAKER_20
transcript.pyannote[1400].start 9162.32909375
transcript.pyannote[1400].end 9165.97409375
transcript.pyannote[1401].speaker SPEAKER_20
transcript.pyannote[1401].start 9166.17659375
transcript.pyannote[1401].end 9167.96534375
transcript.pyannote[1402].speaker SPEAKER_20
transcript.pyannote[1402].start 9168.13409375
transcript.pyannote[1402].end 9169.43346875
transcript.pyannote[1403].speaker SPEAKER_20
transcript.pyannote[1403].start 9169.83846875
transcript.pyannote[1403].end 9172.72409375
transcript.pyannote[1404].speaker SPEAKER_20
transcript.pyannote[1404].start 9173.02784375
transcript.pyannote[1404].end 9181.68471875
transcript.pyannote[1405].speaker SPEAKER_15
transcript.pyannote[1405].start 9182.07284375
transcript.pyannote[1405].end 9187.97909375
transcript.pyannote[1406].speaker SPEAKER_20
transcript.pyannote[1406].start 9186.12284375
transcript.pyannote[1406].end 9202.45784375
transcript.pyannote[1407].speaker SPEAKER_20
transcript.pyannote[1407].start 9202.67721875
transcript.pyannote[1407].end 9208.06034375
transcript.pyannote[1408].speaker SPEAKER_20
transcript.pyannote[1408].start 9208.33034375
transcript.pyannote[1408].end 9227.68596875
transcript.pyannote[1409].speaker SPEAKER_00
transcript.pyannote[1409].start 9211.95846875
transcript.pyannote[1409].end 9212.32971875
transcript.pyannote[1410].speaker SPEAKER_01
transcript.pyannote[1410].start 9224.74971875
transcript.pyannote[1410].end 9224.76659375
transcript.pyannote[1411].speaker SPEAKER_15
transcript.pyannote[1411].start 9224.76659375
transcript.pyannote[1411].end 9225.07034375
transcript.pyannote[1412].speaker SPEAKER_15
transcript.pyannote[1412].start 9227.68596875
transcript.pyannote[1412].end 9227.75346875
transcript.pyannote[1413].speaker SPEAKER_20
transcript.pyannote[1413].start 9227.75346875
transcript.pyannote[1413].end 9227.95596875
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 9227.95596875
transcript.pyannote[1414].end 9227.98971875
transcript.pyannote[1415].speaker SPEAKER_20
transcript.pyannote[1415].start 9227.98971875
transcript.pyannote[1415].end 9228.12471875
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 9228.12471875
transcript.pyannote[1416].end 9232.56284375
transcript.pyannote[1417].speaker SPEAKER_20
transcript.pyannote[1417].start 9229.40721875
transcript.pyannote[1417].end 9230.11596875
transcript.pyannote[1418].speaker SPEAKER_20
transcript.pyannote[1418].start 9232.56284375
transcript.pyannote[1418].end 9256.00221875
transcript.pyannote[1419].speaker SPEAKER_15
transcript.pyannote[1419].start 9232.57971875
transcript.pyannote[1419].end 9235.97159375
transcript.pyannote[1420].speaker SPEAKER_15
transcript.pyannote[1420].start 9256.00221875
transcript.pyannote[1420].end 9260.54159375
transcript.pyannote[1421].speaker SPEAKER_20
transcript.pyannote[1421].start 9256.62659375
transcript.pyannote[1421].end 9257.04846875
transcript.pyannote[1422].speaker SPEAKER_20
transcript.pyannote[1422].start 9260.15346875
transcript.pyannote[1422].end 9267.35909375
transcript.pyannote[1423].speaker SPEAKER_20
transcript.pyannote[1423].start 9267.51096875
transcript.pyannote[1423].end 9273.55221875
transcript.pyannote[1424].speaker SPEAKER_15
transcript.pyannote[1424].start 9273.68721875
transcript.pyannote[1424].end 9276.62346875
transcript.pyannote[1425].speaker SPEAKER_20
transcript.pyannote[1425].start 9276.62346875
transcript.pyannote[1425].end 9276.91034375
transcript.pyannote[1426].speaker SPEAKER_15
transcript.pyannote[1426].start 9276.91034375
transcript.pyannote[1426].end 9276.96096875
transcript.pyannote[1427].speaker SPEAKER_20
transcript.pyannote[1427].start 9276.96096875
transcript.pyannote[1427].end 9276.97784375
transcript.pyannote[1428].speaker SPEAKER_15
transcript.pyannote[1428].start 9276.97784375
transcript.pyannote[1428].end 9277.02846875
transcript.pyannote[1429].speaker SPEAKER_20
transcript.pyannote[1429].start 9277.02846875
transcript.pyannote[1429].end 9277.51784375
transcript.pyannote[1430].speaker SPEAKER_15
transcript.pyannote[1430].start 9277.51784375
transcript.pyannote[1430].end 9277.53471875
transcript.pyannote[1431].speaker SPEAKER_17
transcript.pyannote[1431].start 9279.00284375
transcript.pyannote[1431].end 9281.66909375
transcript.pyannote[1432].speaker SPEAKER_17
transcript.pyannote[1432].start 9286.34346875
transcript.pyannote[1432].end 9287.89596875
transcript.pyannote[1433].speaker SPEAKER_17
transcript.pyannote[1433].start 9287.96346875
transcript.pyannote[1433].end 9291.82784375
transcript.pyannote[1434].speaker SPEAKER_17
transcript.pyannote[1434].start 9292.45221875
transcript.pyannote[1434].end 9299.18534375
transcript.pyannote[1435].speaker SPEAKER_17
transcript.pyannote[1435].start 9299.57346875
transcript.pyannote[1435].end 9306.67784375
transcript.pyannote[1436].speaker SPEAKER_17
transcript.pyannote[1436].start 9307.01534375
transcript.pyannote[1436].end 9310.35659375
transcript.pyannote[1437].speaker SPEAKER_17
transcript.pyannote[1437].start 9317.86596875
transcript.pyannote[1437].end 9323.01284375
transcript.pyannote[1438].speaker SPEAKER_17
transcript.pyannote[1438].start 9323.24909375
transcript.pyannote[1438].end 9330.21846875
transcript.pyannote[1439].speaker SPEAKER_00
transcript.pyannote[1439].start 9331.75409375
transcript.pyannote[1439].end 9337.17096875
transcript.pyannote[1440].speaker SPEAKER_00
transcript.pyannote[1440].start 9337.50846875
transcript.pyannote[1440].end 9347.31284375
transcript.pyannote[1441].speaker SPEAKER_00
transcript.pyannote[1441].start 9347.75159375
transcript.pyannote[1441].end 9358.58534375
transcript.pyannote[1442].speaker SPEAKER_00
transcript.pyannote[1442].start 9358.66971875
transcript.pyannote[1442].end 9360.98159375
transcript.pyannote[1443].speaker SPEAKER_00
transcript.pyannote[1443].start 9361.23471875
transcript.pyannote[1443].end 9362.48346875
transcript.pyannote[1444].speaker SPEAKER_00
transcript.pyannote[1444].start 9362.82096875
transcript.pyannote[1444].end 9366.36471875
transcript.pyannote[1445].speaker SPEAKER_00
transcript.pyannote[1445].start 9367.02284375
transcript.pyannote[1445].end 9374.97096875
transcript.pyannote[1446].speaker SPEAKER_00
transcript.pyannote[1446].start 9375.61221875
transcript.pyannote[1446].end 9386.37846875
transcript.pyannote[1447].speaker SPEAKER_00
transcript.pyannote[1447].start 9386.95221875
transcript.pyannote[1447].end 9393.51659375
transcript.pyannote[1448].speaker SPEAKER_00
transcript.pyannote[1448].start 9393.82034375
transcript.pyannote[1448].end 9395.38971875
transcript.pyannote[1449].speaker SPEAKER_00
transcript.pyannote[1449].start 9395.60909375
transcript.pyannote[1449].end 9397.73534375
transcript.pyannote[1450].speaker SPEAKER_00
transcript.pyannote[1450].start 9398.14034375
transcript.pyannote[1450].end 9406.27409375
transcript.pyannote[1451].speaker SPEAKER_00
transcript.pyannote[1451].start 9406.61159375
transcript.pyannote[1451].end 9410.39159375
transcript.pyannote[1452].speaker SPEAKER_00
transcript.pyannote[1452].start 9410.74596875
transcript.pyannote[1452].end 9414.18846875
transcript.pyannote[1453].speaker SPEAKER_00
transcript.pyannote[1453].start 9414.45846875
transcript.pyannote[1453].end 9422.01846875
transcript.pyannote[1454].speaker SPEAKER_00
transcript.pyannote[1454].start 9422.44034375
transcript.pyannote[1454].end 9422.77784375
transcript.pyannote[1455].speaker SPEAKER_00
transcript.pyannote[1455].start 9422.96346875
transcript.pyannote[1455].end 9424.17846875
transcript.pyannote[1456].speaker SPEAKER_00
transcript.pyannote[1456].start 9424.58346875
transcript.pyannote[1456].end 9425.10659375
transcript.pyannote[1457].speaker SPEAKER_00
transcript.pyannote[1457].start 9425.37659375
transcript.pyannote[1457].end 9435.85596875
transcript.pyannote[1458].speaker SPEAKER_00
transcript.pyannote[1458].start 9437.17221875
transcript.pyannote[1458].end 9441.64409375
transcript.pyannote[1459].speaker SPEAKER_00
transcript.pyannote[1459].start 9441.91409375
transcript.pyannote[1459].end 9443.17971875
transcript.pyannote[1460].speaker SPEAKER_00
transcript.pyannote[1460].start 9443.55096875
transcript.pyannote[1460].end 9448.93409375
transcript.pyannote[1461].speaker SPEAKER_00
transcript.pyannote[1461].start 9449.72721875
transcript.pyannote[1461].end 9452.22471875
transcript.pyannote[1462].speaker SPEAKER_00
transcript.pyannote[1462].start 9452.30909375
transcript.pyannote[1462].end 9454.85721875
transcript.pyannote[1463].speaker SPEAKER_00
transcript.pyannote[1463].start 9455.12721875
transcript.pyannote[1463].end 9460.89846875
transcript.pyannote[1464].speaker SPEAKER_00
transcript.pyannote[1464].start 9461.26971875
transcript.pyannote[1464].end 9464.59409375
transcript.pyannote[1465].speaker SPEAKER_00
transcript.pyannote[1465].start 9464.98221875
transcript.pyannote[1465].end 9469.52159375
transcript.pyannote[1466].speaker SPEAKER_00
transcript.pyannote[1466].start 9469.92659375
transcript.pyannote[1466].end 9473.20034375
transcript.pyannote[1467].speaker SPEAKER_00
transcript.pyannote[1467].start 9474.04409375
transcript.pyannote[1467].end 9485.33346875
transcript.pyannote[1468].speaker SPEAKER_00
transcript.pyannote[1468].start 9487.86471875
transcript.pyannote[1468].end 9489.21471875
transcript.pyannote[1469].speaker SPEAKER_00
transcript.pyannote[1469].start 9489.80534375
transcript.pyannote[1469].end 9501.33096875
transcript.pyannote[1470].speaker SPEAKER_00
transcript.pyannote[1470].start 9501.73596875
transcript.pyannote[1470].end 9502.52909375
transcript.pyannote[1471].speaker SPEAKER_00
transcript.pyannote[1471].start 9503.18721875
transcript.pyannote[1471].end 9515.11784375
transcript.pyannote[1472].speaker SPEAKER_00
transcript.pyannote[1472].start 9516.33284375
transcript.pyannote[1472].end 9526.64346875
transcript.pyannote[1473].speaker SPEAKER_00
transcript.pyannote[1473].start 9526.72784375
transcript.pyannote[1473].end 9528.12846875
transcript.pyannote[1474].speaker SPEAKER_00
transcript.pyannote[1474].start 9529.34346875
transcript.pyannote[1474].end 9530.74409375
transcript.pyannote[1475].speaker SPEAKER_00
transcript.pyannote[1475].start 9532.78596875
transcript.pyannote[1475].end 9538.86096875
transcript.pyannote[1476].speaker SPEAKER_00
transcript.pyannote[1476].start 9539.13096875
transcript.pyannote[1476].end 9541.84784375
transcript.pyannote[1477].speaker SPEAKER_00
transcript.pyannote[1477].start 9542.25284375
transcript.pyannote[1477].end 9547.77096875
transcript.pyannote[1478].speaker SPEAKER_00
transcript.pyannote[1478].start 9548.09159375
transcript.pyannote[1478].end 9549.86346875
transcript.pyannote[1479].speaker SPEAKER_00
transcript.pyannote[1479].start 9550.42034375
transcript.pyannote[1479].end 9555.75284375
transcript.pyannote[1480].speaker SPEAKER_00
transcript.pyannote[1480].start 9556.22534375
transcript.pyannote[1480].end 9557.64284375
transcript.pyannote[1481].speaker SPEAKER_00
transcript.pyannote[1481].start 9557.96346875
transcript.pyannote[1481].end 9558.94221875
transcript.pyannote[1482].speaker SPEAKER_00
transcript.pyannote[1482].start 9559.68471875
transcript.pyannote[1482].end 9563.26221875
transcript.pyannote[1483].speaker SPEAKER_00
transcript.pyannote[1483].start 9563.61659375
transcript.pyannote[1483].end 9567.31221875
transcript.pyannote[1484].speaker SPEAKER_00
transcript.pyannote[1484].start 9567.51471875
transcript.pyannote[1484].end 9570.61971875
transcript.pyannote[1485].speaker SPEAKER_00
transcript.pyannote[1485].start 9570.90659375
transcript.pyannote[1485].end 9571.51409375
transcript.pyannote[1486].speaker SPEAKER_00
transcript.pyannote[1486].start 9572.03721875
transcript.pyannote[1486].end 9573.62346875
transcript.pyannote[1487].speaker SPEAKER_00
transcript.pyannote[1487].start 9574.18034375
transcript.pyannote[1487].end 9575.15909375
transcript.pyannote[1488].speaker SPEAKER_00
transcript.pyannote[1488].start 9575.69909375
transcript.pyannote[1488].end 9580.69409375
transcript.pyannote[1489].speaker SPEAKER_00
transcript.pyannote[1489].start 9581.01471875
transcript.pyannote[1489].end 9586.66784375
transcript.pyannote[1490].speaker SPEAKER_00
transcript.pyannote[1490].start 9587.05596875
transcript.pyannote[1490].end 9592.05096875
transcript.pyannote[1491].speaker SPEAKER_00
transcript.pyannote[1491].start 9592.30409375
transcript.pyannote[1491].end 9597.40034375
transcript.pyannote[1492].speaker SPEAKER_00
transcript.pyannote[1492].start 9597.60284375
transcript.pyannote[1492].end 9600.55596875
transcript.pyannote[1493].speaker SPEAKER_00
transcript.pyannote[1493].start 9600.72471875
transcript.pyannote[1493].end 9605.04471875
transcript.pyannote[1494].speaker SPEAKER_00
transcript.pyannote[1494].start 9605.33159375
transcript.pyannote[1494].end 9606.73221875
transcript.pyannote[1495].speaker SPEAKER_00
transcript.pyannote[1495].start 9607.54221875
transcript.pyannote[1495].end 9610.90034375
transcript.pyannote[1496].speaker SPEAKER_00
transcript.pyannote[1496].start 9611.08596875
transcript.pyannote[1496].end 9614.57909375
transcript.pyannote[1497].speaker SPEAKER_00
transcript.pyannote[1497].start 9616.55346875
transcript.pyannote[1497].end 9619.55721875
transcript.pyannote[1498].speaker SPEAKER_00
transcript.pyannote[1498].start 9619.72596875
transcript.pyannote[1498].end 9622.78034375
transcript.pyannote[1499].speaker SPEAKER_00
transcript.pyannote[1499].start 9623.03346875
transcript.pyannote[1499].end 9628.65284375
transcript.pyannote[1500].speaker SPEAKER_00
transcript.pyannote[1500].start 9628.97346875
transcript.pyannote[1500].end 9635.13284375
transcript.pyannote[1501].speaker SPEAKER_00
transcript.pyannote[1501].start 9638.40659375
transcript.pyannote[1501].end 9640.78596875
transcript.pyannote[1502].speaker SPEAKER_00
transcript.pyannote[1502].start 9641.00534375
transcript.pyannote[1502].end 9643.18221875
transcript.pyannote[1503].speaker SPEAKER_00
transcript.pyannote[1503].start 9643.67159375
transcript.pyannote[1503].end 9651.19784375
transcript.pyannote[1504].speaker SPEAKER_00
transcript.pyannote[1504].start 9651.45096875
transcript.pyannote[1504].end 9654.15096875
transcript.pyannote[1505].speaker SPEAKER_00
transcript.pyannote[1505].start 9654.43784375
transcript.pyannote[1505].end 9655.77096875
transcript.pyannote[1506].speaker SPEAKER_00
transcript.pyannote[1506].start 9656.71596875
transcript.pyannote[1506].end 9658.11659375
transcript.pyannote[1507].speaker SPEAKER_00
transcript.pyannote[1507].start 9658.23471875
transcript.pyannote[1507].end 9665.32221875
transcript.pyannote[1508].speaker SPEAKER_00
transcript.pyannote[1508].start 9665.69346875
transcript.pyannote[1508].end 9670.46909375
transcript.pyannote[1509].speaker SPEAKER_00
transcript.pyannote[1509].start 9670.82346875
transcript.pyannote[1509].end 9671.85284375
transcript.pyannote[1510].speaker SPEAKER_00
transcript.pyannote[1510].start 9671.90346875
transcript.pyannote[1510].end 9675.78471875
transcript.pyannote[1511].speaker SPEAKER_00
transcript.pyannote[1511].start 9676.08846875
transcript.pyannote[1511].end 9680.54346875
transcript.pyannote[1512].speaker SPEAKER_00
transcript.pyannote[1512].start 9680.77971875
transcript.pyannote[1512].end 9682.46721875
transcript.pyannote[1513].speaker SPEAKER_00
transcript.pyannote[1513].start 9682.83846875
transcript.pyannote[1513].end 9687.59721875
transcript.pyannote[1514].speaker SPEAKER_00
transcript.pyannote[1514].start 9687.85034375
transcript.pyannote[1514].end 9689.08221875
transcript.pyannote[1515].speaker SPEAKER_00
transcript.pyannote[1515].start 9689.47034375
transcript.pyannote[1515].end 9694.53284375
transcript.pyannote[1516].speaker SPEAKER_00
transcript.pyannote[1516].start 9694.85346875
transcript.pyannote[1516].end 9696.49034375
transcript.pyannote[1517].speaker SPEAKER_00
transcript.pyannote[1517].start 9696.67596875
transcript.pyannote[1517].end 9703.64534375
transcript.pyannote[1518].speaker SPEAKER_00
transcript.pyannote[1518].start 9704.10096875
transcript.pyannote[1518].end 9704.43846875
transcript.pyannote[1519].speaker SPEAKER_00
transcript.pyannote[1519].start 9704.70846875
transcript.pyannote[1519].end 9712.53846875
transcript.pyannote[1520].speaker SPEAKER_00
transcript.pyannote[1520].start 9712.75784375
transcript.pyannote[1520].end 9719.17034375
transcript.pyannote[1521].speaker SPEAKER_00
transcript.pyannote[1521].start 9719.47409375
transcript.pyannote[1521].end 9720.97596875
transcript.pyannote[1522].speaker SPEAKER_00
transcript.pyannote[1522].start 9721.21221875
transcript.pyannote[1522].end 9727.77659375
transcript.pyannote[1523].speaker SPEAKER_00
transcript.pyannote[1523].start 9728.16471875
transcript.pyannote[1523].end 9735.67409375
transcript.pyannote[1524].speaker SPEAKER_00
transcript.pyannote[1524].start 9736.21409375
transcript.pyannote[1524].end 9738.07034375
transcript.pyannote[1525].speaker SPEAKER_00
transcript.pyannote[1525].start 9738.42471875
transcript.pyannote[1525].end 9744.66846875
transcript.pyannote[1526].speaker SPEAKER_00
transcript.pyannote[1526].start 9745.15784375
transcript.pyannote[1526].end 9748.58346875
transcript.pyannote[1527].speaker SPEAKER_00
transcript.pyannote[1527].start 9749.08971875
transcript.pyannote[1527].end 9753.03846875
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 9753.32534375
transcript.pyannote[1528].end 9754.96221875
transcript.pyannote[1529].speaker SPEAKER_00
transcript.pyannote[1529].start 9755.16471875
transcript.pyannote[1529].end 9762.75846875
transcript.pyannote[1530].speaker SPEAKER_00
transcript.pyannote[1530].start 9763.53471875
transcript.pyannote[1530].end 9779.41409375
transcript.pyannote[1531].speaker SPEAKER_00
transcript.pyannote[1531].start 9780.24096875
transcript.pyannote[1531].end 9805.01346875
transcript.pyannote[1532].speaker SPEAKER_00
transcript.pyannote[1532].start 9805.31721875
transcript.pyannote[1532].end 9807.13971875
transcript.pyannote[1533].speaker SPEAKER_00
transcript.pyannote[1533].start 9807.35909375
transcript.pyannote[1533].end 9813.26534375
transcript.pyannote[1534].speaker SPEAKER_00
transcript.pyannote[1534].start 9813.72096875
transcript.pyannote[1534].end 9818.81721875
transcript.pyannote[1535].speaker SPEAKER_00
transcript.pyannote[1535].start 9819.17159375
transcript.pyannote[1535].end 9821.23034375
transcript.pyannote[1536].speaker SPEAKER_00
transcript.pyannote[1536].start 9821.58471875
transcript.pyannote[1536].end 9823.39034375
transcript.pyannote[1537].speaker SPEAKER_00
transcript.pyannote[1537].start 9823.69409375
transcript.pyannote[1537].end 9828.01409375
transcript.pyannote[1538].speaker SPEAKER_00
transcript.pyannote[1538].start 9828.25034375
transcript.pyannote[1538].end 9840.45096875
transcript.pyannote[1539].speaker SPEAKER_00
transcript.pyannote[1539].start 9840.87284375
transcript.pyannote[1539].end 9843.43784375
transcript.pyannote[1540].speaker SPEAKER_00
transcript.pyannote[1540].start 9843.97784375
transcript.pyannote[1540].end 9851.72346875
transcript.pyannote[1541].speaker SPEAKER_00
transcript.pyannote[1541].start 9852.06096875
transcript.pyannote[1541].end 9852.44909375
transcript.pyannote[1542].speaker SPEAKER_00
transcript.pyannote[1542].start 9852.93846875
transcript.pyannote[1542].end 9858.38909375
transcript.pyannote[1543].speaker SPEAKER_00
transcript.pyannote[1543].start 9858.57471875
transcript.pyannote[1543].end 9860.46471875
transcript.pyannote[1544].speaker SPEAKER_00
transcript.pyannote[1544].start 9860.95409375
transcript.pyannote[1544].end 9861.37596875
transcript.pyannote[1545].speaker SPEAKER_00
transcript.pyannote[1545].start 9861.88221875
transcript.pyannote[1545].end 9862.55721875
transcript.pyannote[1546].speaker SPEAKER_00
transcript.pyannote[1546].start 9862.92846875
transcript.pyannote[1546].end 9865.99971875
transcript.pyannote[1547].speaker SPEAKER_00
transcript.pyannote[1547].start 9866.25284375
transcript.pyannote[1547].end 9868.02471875
transcript.pyannote[1548].speaker SPEAKER_00
transcript.pyannote[1548].start 9868.44659375
transcript.pyannote[1548].end 9873.18846875
transcript.pyannote[1549].speaker SPEAKER_00
transcript.pyannote[1549].start 9873.28971875
transcript.pyannote[1549].end 9875.90534375
transcript.pyannote[1550].speaker SPEAKER_00
transcript.pyannote[1550].start 9876.39471875
transcript.pyannote[1550].end 9887.49846875
transcript.pyannote[1551].speaker SPEAKER_00
transcript.pyannote[1551].start 9887.88659375
transcript.pyannote[1551].end 9893.06721875
transcript.pyannote[1552].speaker SPEAKER_00
transcript.pyannote[1552].start 9893.43846875
transcript.pyannote[1552].end 9894.97409375
transcript.pyannote[1553].speaker SPEAKER_00
transcript.pyannote[1553].start 9895.41284375
transcript.pyannote[1553].end 9898.29846875
transcript.pyannote[1554].speaker SPEAKER_00
transcript.pyannote[1554].start 9898.61909375
transcript.pyannote[1554].end 9901.13346875
transcript.pyannote[1555].speaker SPEAKER_00
transcript.pyannote[1555].start 9901.36971875
transcript.pyannote[1555].end 9908.06909375
transcript.pyannote[1556].speaker SPEAKER_00
transcript.pyannote[1556].start 9908.35596875
transcript.pyannote[1556].end 9911.49471875
transcript.pyannote[1557].speaker SPEAKER_00
transcript.pyannote[1557].start 9912.01784375
transcript.pyannote[1557].end 9915.73034375
transcript.pyannote[1558].speaker SPEAKER_00
transcript.pyannote[1558].start 9915.89909375
transcript.pyannote[1558].end 9918.46409375
transcript.pyannote[1559].speaker SPEAKER_00
transcript.pyannote[1559].start 9918.98721875
transcript.pyannote[1559].end 9923.52659375
transcript.pyannote[1560].speaker SPEAKER_00
transcript.pyannote[1560].start 9923.89784375
transcript.pyannote[1560].end 9924.21846875
transcript.pyannote[1561].speaker SPEAKER_00
transcript.pyannote[1561].start 9924.37034375
transcript.pyannote[1561].end 9930.47909375
transcript.pyannote[1562].speaker SPEAKER_00
transcript.pyannote[1562].start 9930.88409375
transcript.pyannote[1562].end 9937.80284375
transcript.pyannote[1563].speaker SPEAKER_00
transcript.pyannote[1563].start 9937.98846875
transcript.pyannote[1563].end 9939.74346875
transcript.pyannote[1564].speaker SPEAKER_00
transcript.pyannote[1564].start 9939.91221875
transcript.pyannote[1564].end 9942.39284375
transcript.pyannote[1565].speaker SPEAKER_00
transcript.pyannote[1565].start 9943.30409375
transcript.pyannote[1565].end 9944.21534375
transcript.pyannote[1566].speaker SPEAKER_00
transcript.pyannote[1566].start 9945.21096875
transcript.pyannote[1566].end 9950.39159375
transcript.pyannote[1567].speaker SPEAKER_00
transcript.pyannote[1567].start 9950.56034375
transcript.pyannote[1567].end 9953.07471875
transcript.pyannote[1568].speaker SPEAKER_00
transcript.pyannote[1568].start 9953.88471875
transcript.pyannote[1568].end 9962.06909375
transcript.pyannote[1569].speaker SPEAKER_00
transcript.pyannote[1569].start 9962.37284375
transcript.pyannote[1569].end 9967.14846875
transcript.pyannote[1570].speaker SPEAKER_00
transcript.pyannote[1570].start 9967.57034375
transcript.pyannote[1570].end 9974.79284375
transcript.pyannote[1571].speaker SPEAKER_00
transcript.pyannote[1571].start 9975.07971875
transcript.pyannote[1571].end 9980.81721875
transcript.pyannote[1572].speaker SPEAKER_00
transcript.pyannote[1572].start 9981.07034375
transcript.pyannote[1572].end 9983.70284375
transcript.pyannote[1573].speaker SPEAKER_00
transcript.pyannote[1573].start 9983.93909375
transcript.pyannote[1573].end 9987.70221875
transcript.pyannote[1574].speaker SPEAKER_00
transcript.pyannote[1574].start 9988.19159375
transcript.pyannote[1574].end 9989.84534375
transcript.pyannote[1575].speaker SPEAKER_00
transcript.pyannote[1575].start 9990.21659375
transcript.pyannote[1575].end 9994.55346875
transcript.pyannote[1576].speaker SPEAKER_00
transcript.pyannote[1576].start 9995.38034375
transcript.pyannote[1576].end 10004.12159375
transcript.pyannote[1577].speaker SPEAKER_00
transcript.pyannote[1577].start 10004.22284375
transcript.pyannote[1577].end 10006.65284375
transcript.pyannote[1578].speaker SPEAKER_00
transcript.pyannote[1578].start 10006.97346875
transcript.pyannote[1578].end 10014.22971875
transcript.pyannote[1579].speaker SPEAKER_00
transcript.pyannote[1579].start 10014.90471875
transcript.pyannote[1579].end 10018.90409375
transcript.pyannote[1580].speaker SPEAKER_00
transcript.pyannote[1580].start 10019.42721875
transcript.pyannote[1580].end 10027.27409375
transcript.pyannote[1581].speaker SPEAKER_00
transcript.pyannote[1581].start 10027.57784375
transcript.pyannote[1581].end 10032.82596875
transcript.pyannote[1582].speaker SPEAKER_00
transcript.pyannote[1582].start 10033.06221875
transcript.pyannote[1582].end 10035.03659375
transcript.pyannote[1583].speaker SPEAKER_00
transcript.pyannote[1583].start 10035.39096875
transcript.pyannote[1583].end 10037.97284375
transcript.pyannote[1584].speaker SPEAKER_00
transcript.pyannote[1584].start 10038.09096875
transcript.pyannote[1584].end 10043.84534375
transcript.pyannote[1585].speaker SPEAKER_00
transcript.pyannote[1585].start 10044.04784375
transcript.pyannote[1585].end 10044.77346875
transcript.pyannote[1586].speaker SPEAKER_00
transcript.pyannote[1586].start 10044.90846875
transcript.pyannote[1586].end 10048.95846875
transcript.pyannote[1587].speaker SPEAKER_00
transcript.pyannote[1587].start 10049.11034375
transcript.pyannote[1587].end 10053.97034375
transcript.pyannote[1588].speaker SPEAKER_00
transcript.pyannote[1588].start 10054.51034375
transcript.pyannote[1588].end 10057.61534375
transcript.pyannote[1589].speaker SPEAKER_00
transcript.pyannote[1589].start 10058.50971875
transcript.pyannote[1589].end 10066.50846875
transcript.pyannote[1590].speaker SPEAKER_00
transcript.pyannote[1590].start 10066.76159375
transcript.pyannote[1590].end 10077.03846875
transcript.pyannote[1591].speaker SPEAKER_00
transcript.pyannote[1591].start 10077.39284375
transcript.pyannote[1591].end 10085.64471875
transcript.pyannote[1592].speaker SPEAKER_00
transcript.pyannote[1592].start 10085.88096875
transcript.pyannote[1592].end 10086.84284375
transcript.pyannote[1593].speaker SPEAKER_00
transcript.pyannote[1593].start 10087.09596875
transcript.pyannote[1593].end 10094.57159375
transcript.pyannote[1594].speaker SPEAKER_00
transcript.pyannote[1594].start 10094.89221875
transcript.pyannote[1594].end 10098.18284375
transcript.pyannote[1595].speaker SPEAKER_00
transcript.pyannote[1595].start 10098.45284375
transcript.pyannote[1595].end 10099.61721875
transcript.pyannote[1596].speaker SPEAKER_00
transcript.pyannote[1596].start 10100.02221875
transcript.pyannote[1596].end 10103.98784375
transcript.pyannote[1597].speaker SPEAKER_00
transcript.pyannote[1597].start 10104.40971875
transcript.pyannote[1597].end 10108.24034375
transcript.pyannote[1598].speaker SPEAKER_00
transcript.pyannote[1598].start 10108.57784375
transcript.pyannote[1598].end 10114.77096875
transcript.pyannote[1599].speaker SPEAKER_00
transcript.pyannote[1599].start 10115.10846875
transcript.pyannote[1599].end 10122.36471875
transcript.pyannote[1600].speaker SPEAKER_00
transcript.pyannote[1600].start 10122.56721875
transcript.pyannote[1600].end 10128.11909375
transcript.pyannote[1601].speaker SPEAKER_00
transcript.pyannote[1601].start 10128.43971875
transcript.pyannote[1601].end 10131.44346875
transcript.pyannote[1602].speaker SPEAKER_00
transcript.pyannote[1602].start 10131.71346875
transcript.pyannote[1602].end 10136.67471875
transcript.pyannote[1603].speaker SPEAKER_00
transcript.pyannote[1603].start 10136.99534375
transcript.pyannote[1603].end 10142.59784375
transcript.pyannote[1604].speaker SPEAKER_00
transcript.pyannote[1604].start 10142.88471875
transcript.pyannote[1604].end 10145.41596875
transcript.pyannote[1605].speaker SPEAKER_00
transcript.pyannote[1605].start 10145.88846875
transcript.pyannote[1605].end 10155.30471875
transcript.pyannote[1606].speaker SPEAKER_00
transcript.pyannote[1606].start 10155.64221875
transcript.pyannote[1606].end 10161.95346875
transcript.pyannote[1607].speaker SPEAKER_00
transcript.pyannote[1607].start 10162.24034375
transcript.pyannote[1607].end 10165.09221875
transcript.pyannote[1608].speaker SPEAKER_00
transcript.pyannote[1608].start 10165.86846875
transcript.pyannote[1608].end 10176.31409375
transcript.pyannote[1609].speaker SPEAKER_00
transcript.pyannote[1609].start 10176.63471875
transcript.pyannote[1609].end 10181.44409375
transcript.pyannote[1610].speaker SPEAKER_00
transcript.pyannote[1610].start 10182.86159375
transcript.pyannote[1610].end 10192.51409375
transcript.pyannote[1611].speaker SPEAKER_00
transcript.pyannote[1611].start 10192.56471875
transcript.pyannote[1611].end 10199.16284375
transcript.pyannote[1612].speaker SPEAKER_00
transcript.pyannote[1612].start 10199.61846875
transcript.pyannote[1612].end 10200.73221875
transcript.pyannote[1613].speaker SPEAKER_00
transcript.pyannote[1613].start 10201.49159375
transcript.pyannote[1613].end 10206.11534375
transcript.pyannote[1614].speaker SPEAKER_00
transcript.pyannote[1614].start 10206.38534375
transcript.pyannote[1614].end 10211.63346875
transcript.pyannote[1615].speaker SPEAKER_00
transcript.pyannote[1615].start 10212.05534375
transcript.pyannote[1615].end 10216.22346875
transcript.pyannote[1616].speaker SPEAKER_00
transcript.pyannote[1616].start 10216.54409375
transcript.pyannote[1616].end 10217.03346875
transcript.pyannote[1617].speaker SPEAKER_00
transcript.pyannote[1617].start 10217.75909375
transcript.pyannote[1617].end 10222.14659375
transcript.pyannote[1618].speaker SPEAKER_00
transcript.pyannote[1618].start 10222.63596875
transcript.pyannote[1618].end 10224.59346875
transcript.pyannote[1619].speaker SPEAKER_00
transcript.pyannote[1619].start 10225.40346875
transcript.pyannote[1619].end 10228.71096875
transcript.pyannote[1620].speaker SPEAKER_00
transcript.pyannote[1620].start 10229.33534375
transcript.pyannote[1620].end 10242.10971875
transcript.pyannote[1621].speaker SPEAKER_00
transcript.pyannote[1621].start 10243.08846875
transcript.pyannote[1621].end 10248.99471875
transcript.pyannote[1622].speaker SPEAKER_00
transcript.pyannote[1622].start 10249.90596875
transcript.pyannote[1622].end 10255.59284375
transcript.pyannote[1623].speaker SPEAKER_00
transcript.pyannote[1623].start 10255.69409375
transcript.pyannote[1623].end 10258.29284375
transcript.pyannote[1624].speaker SPEAKER_00
transcript.pyannote[1624].start 10258.47846875
transcript.pyannote[1624].end 10265.16096875
transcript.pyannote[1625].speaker SPEAKER_00
transcript.pyannote[1625].start 10265.29596875
transcript.pyannote[1625].end 10268.68784375
transcript.pyannote[1626].speaker SPEAKER_00
transcript.pyannote[1626].start 10268.94096875
transcript.pyannote[1626].end 10272.01221875
transcript.pyannote[1627].speaker SPEAKER_00
transcript.pyannote[1627].start 10272.82221875
transcript.pyannote[1627].end 10277.88471875
transcript.pyannote[1628].speaker SPEAKER_00
transcript.pyannote[1628].start 10279.80846875
transcript.pyannote[1628].end 10280.21346875
transcript.pyannote[1629].speaker SPEAKER_12
transcript.pyannote[1629].start 10282.40721875
transcript.pyannote[1629].end 10282.66034375
transcript.pyannote[1630].speaker SPEAKER_00
transcript.pyannote[1630].start 10284.19596875
transcript.pyannote[1630].end 10289.14034375
transcript.pyannote[1631].speaker SPEAKER_00
transcript.pyannote[1631].start 10290.76034375
transcript.pyannote[1631].end 10304.36159375
transcript.pyannote[1632].speaker SPEAKER_00
transcript.pyannote[1632].start 10304.76659375
transcript.pyannote[1632].end 10307.56784375
transcript.pyannote[1633].speaker SPEAKER_00
transcript.pyannote[1633].start 10307.90534375
transcript.pyannote[1633].end 10309.42409375
transcript.pyannote[1634].speaker SPEAKER_00
transcript.pyannote[1634].start 10309.89659375
transcript.pyannote[1634].end 10314.19971875
transcript.pyannote[1635].speaker SPEAKER_00
transcript.pyannote[1635].start 10314.31784375
transcript.pyannote[1635].end 10318.14846875
transcript.pyannote[1636].speaker SPEAKER_00
transcript.pyannote[1636].start 10318.45221875
transcript.pyannote[1636].end 10323.73409375
transcript.pyannote[1637].speaker SPEAKER_00
transcript.pyannote[1637].start 10323.93659375
transcript.pyannote[1637].end 10332.57659375
transcript.pyannote[1638].speaker SPEAKER_00
transcript.pyannote[1638].start 10332.93096875
transcript.pyannote[1638].end 10340.57534375
transcript.pyannote[1639].speaker SPEAKER_00
transcript.pyannote[1639].start 10341.14909375
transcript.pyannote[1639].end 10343.19096875
transcript.pyannote[1640].speaker SPEAKER_00
transcript.pyannote[1640].start 10343.37659375
transcript.pyannote[1640].end 10347.91596875
transcript.pyannote[1641].speaker SPEAKER_00
transcript.pyannote[1641].start 10348.28721875
transcript.pyannote[1641].end 10351.15596875
transcript.pyannote[1642].speaker SPEAKER_00
transcript.pyannote[1642].start 10351.40909375
transcript.pyannote[1642].end 10358.85096875
transcript.pyannote[1643].speaker SPEAKER_00
transcript.pyannote[1643].start 10359.74534375
transcript.pyannote[1643].end 10363.59284375
transcript.pyannote[1644].speaker SPEAKER_00
transcript.pyannote[1644].start 10363.84596875
transcript.pyannote[1644].end 10366.88346875
transcript.pyannote[1645].speaker SPEAKER_00
transcript.pyannote[1645].start 10367.11971875
transcript.pyannote[1645].end 10376.68784375
transcript.pyannote[1646].speaker SPEAKER_00
transcript.pyannote[1646].start 10376.99159375
transcript.pyannote[1646].end 10380.80534375
transcript.pyannote[1647].speaker SPEAKER_00
transcript.pyannote[1647].start 10380.85596875
transcript.pyannote[1647].end 10385.36159375
transcript.pyannote[1648].speaker SPEAKER_00
transcript.pyannote[1648].start 10385.78346875
transcript.pyannote[1648].end 10389.91784375
transcript.pyannote[1649].speaker SPEAKER_00
transcript.pyannote[1649].start 10390.22159375
transcript.pyannote[1649].end 10399.03034375
transcript.pyannote[1650].speaker SPEAKER_00
transcript.pyannote[1650].start 10399.73909375
transcript.pyannote[1650].end 10405.81409375
transcript.pyannote[1651].speaker SPEAKER_00
transcript.pyannote[1651].start 10406.23596875
transcript.pyannote[1651].end 10409.17221875
transcript.pyannote[1652].speaker SPEAKER_00
transcript.pyannote[1652].start 10409.44221875
transcript.pyannote[1652].end 10414.40346875
transcript.pyannote[1653].speaker SPEAKER_00
transcript.pyannote[1653].start 10414.89284375
transcript.pyannote[1653].end 10415.83784375
transcript.pyannote[1654].speaker SPEAKER_00
transcript.pyannote[1654].start 10417.60971875
transcript.pyannote[1654].end 10431.83534375
transcript.pyannote[1655].speaker SPEAKER_00
transcript.pyannote[1655].start 10432.71284375
transcript.pyannote[1655].end 10433.53971875
transcript.pyannote[1656].speaker SPEAKER_17
transcript.pyannote[1656].start 10440.17159375
transcript.pyannote[1656].end 10441.79159375
transcript.pyannote[1657].speaker SPEAKER_17
transcript.pyannote[1657].start 10441.92659375
transcript.pyannote[1657].end 10442.24721875
transcript.pyannote[1658].speaker SPEAKER_17
transcript.pyannote[1658].start 10443.32721875
transcript.pyannote[1658].end 10443.85034375
transcript.pyannote[1659].speaker SPEAKER_17
transcript.pyannote[1659].start 10445.31846875
transcript.pyannote[1659].end 10447.69784375
transcript.pyannote[1660].speaker SPEAKER_17
transcript.pyannote[1660].start 10449.04784375
transcript.pyannote[1660].end 10449.90846875
transcript.pyannote[1661].speaker SPEAKER_02
transcript.pyannote[1661].start 10465.82159375
transcript.pyannote[1661].end 10470.25971875
transcript.pyannote[1662].speaker SPEAKER_02
transcript.pyannote[1662].start 10471.99784375
transcript.pyannote[1662].end 10473.02721875
transcript.pyannote[1663].speaker SPEAKER_02
transcript.pyannote[1663].start 10475.71034375
transcript.pyannote[1663].end 10476.14909375
transcript.pyannote[1664].speaker SPEAKER_03
transcript.pyannote[1664].start 10481.21159375
transcript.pyannote[1664].end 10482.93284375
transcript.pyannote[1665].speaker SPEAKER_03
transcript.pyannote[1665].start 10492.65284375
transcript.pyannote[1665].end 10494.07034375
transcript.pyannote[1666].speaker SPEAKER_02
transcript.pyannote[1666].start 10494.07034375
transcript.pyannote[1666].end 10494.17159375
transcript.pyannote[1667].speaker SPEAKER_03
transcript.pyannote[1667].start 10494.17159375
transcript.pyannote[1667].end 10494.25596875
transcript.pyannote[1668].speaker SPEAKER_02
transcript.pyannote[1668].start 10494.25596875
transcript.pyannote[1668].end 10494.28971875
transcript.pyannote[1669].speaker SPEAKER_02
transcript.pyannote[1669].start 10494.79596875
transcript.pyannote[1669].end 10494.81284375
transcript.pyannote[1670].speaker SPEAKER_03
transcript.pyannote[1670].start 10494.81284375
transcript.pyannote[1670].end 10494.84659375
transcript.pyannote[1671].speaker SPEAKER_02
transcript.pyannote[1671].start 10494.84659375
transcript.pyannote[1671].end 10495.45409375
transcript.pyannote[1672].speaker SPEAKER_02
transcript.pyannote[1672].start 10495.69034375
transcript.pyannote[1672].end 10497.66471875
transcript.pyannote[1673].speaker SPEAKER_02
transcript.pyannote[1673].start 10498.44096875
transcript.pyannote[1673].end 10499.03159375
transcript.pyannote[1674].speaker SPEAKER_03
transcript.pyannote[1674].start 10509.76409375
transcript.pyannote[1674].end 10511.62034375
transcript.pyannote[1675].speaker SPEAKER_03
transcript.pyannote[1675].start 10512.04221875
transcript.pyannote[1675].end 10513.62846875
transcript.pyannote[1676].speaker SPEAKER_03
transcript.pyannote[1676].start 10513.69596875
transcript.pyannote[1676].end 10518.03284375
transcript.pyannote[1677].speaker SPEAKER_03
transcript.pyannote[1677].start 10519.36596875
transcript.pyannote[1677].end 10519.66971875
transcript.pyannote[1678].speaker SPEAKER_03
transcript.pyannote[1678].start 10538.29971875
transcript.pyannote[1678].end 10539.12659375
transcript.pyannote[1679].speaker SPEAKER_18
transcript.pyannote[1679].start 10551.24284375
transcript.pyannote[1679].end 10551.68159375
transcript.pyannote[1680].speaker SPEAKER_03
transcript.pyannote[1680].start 10772.59221875
transcript.pyannote[1680].end 10774.83659375
transcript.pyannote[1681].speaker SPEAKER_03
transcript.pyannote[1681].start 10774.97159375
transcript.pyannote[1681].end 10775.03909375
transcript.pyannote[1682].speaker SPEAKER_03
transcript.pyannote[1682].start 10775.32596875
transcript.pyannote[1682].end 10776.45659375
transcript.pyannote[1683].speaker SPEAKER_03
transcript.pyannote[1683].start 10776.97971875
transcript.pyannote[1683].end 10777.03034375
transcript.pyannote[1684].speaker SPEAKER_03
transcript.pyannote[1684].start 10777.08096875
transcript.pyannote[1684].end 10777.14846875
transcript.pyannote[1685].speaker SPEAKER_03
transcript.pyannote[1685].start 10780.42221875
transcript.pyannote[1685].end 10780.65846875
transcript.pyannote[1686].speaker SPEAKER_02
transcript.pyannote[1686].start 10796.82471875
transcript.pyannote[1686].end 10796.87534375
transcript.pyannote[1687].speaker SPEAKER_02
transcript.pyannote[1687].start 10796.95971875
transcript.pyannote[1687].end 10805.24534375
transcript.pyannote[1688].speaker SPEAKER_02
transcript.pyannote[1688].start 10807.21971875
transcript.pyannote[1688].end 10807.38846875
transcript.pyannote[1689].speaker SPEAKER_03
transcript.pyannote[1689].start 10830.45659375
transcript.pyannote[1689].end 10831.46909375
transcript.pyannote[1690].speaker SPEAKER_02
transcript.pyannote[1690].start 10840.96971875
transcript.pyannote[1690].end 10844.51346875
transcript.pyannote[1691].speaker SPEAKER_03
transcript.pyannote[1691].start 10844.51346875
transcript.pyannote[1691].end 10851.02721875
transcript.pyannote[1692].speaker SPEAKER_03
transcript.pyannote[1692].start 10855.19534375
transcript.pyannote[1692].end 10855.68471875
transcript.pyannote[1693].speaker SPEAKER_03
transcript.pyannote[1693].start 10857.96284375
transcript.pyannote[1693].end 10858.06409375
transcript.pyannote[1694].speaker SPEAKER_03
transcript.pyannote[1694].start 10861.32096875
transcript.pyannote[1694].end 10864.54409375
transcript.pyannote[1695].speaker SPEAKER_03
transcript.pyannote[1695].start 10865.25284375
transcript.pyannote[1695].end 10871.02409375
transcript.pyannote[1696].speaker SPEAKER_03
transcript.pyannote[1696].start 10883.02221875
transcript.pyannote[1696].end 10884.10221875
transcript.pyannote[1697].speaker SPEAKER_03
transcript.pyannote[1697].start 10884.62534375
transcript.pyannote[1697].end 10886.17784375
transcript.pyannote[1698].speaker SPEAKER_03
transcript.pyannote[1698].start 10886.19471875
transcript.pyannote[1698].end 10886.21159375
transcript.pyannote[1699].speaker SPEAKER_03
transcript.pyannote[1699].start 10886.81909375
transcript.pyannote[1699].end 10899.13784375
transcript.pyannote[1700].speaker SPEAKER_03
transcript.pyannote[1700].start 10899.71159375
transcript.pyannote[1700].end 10900.06596875
transcript.pyannote[1701].speaker SPEAKER_03
transcript.pyannote[1701].start 10933.09034375
transcript.pyannote[1701].end 10933.24221875
transcript.pyannote[1702].speaker SPEAKER_03
transcript.pyannote[1702].start 10934.84534375
transcript.pyannote[1702].end 10936.56659375
transcript.pyannote[1703].speaker SPEAKER_03
transcript.pyannote[1703].start 10940.09346875
transcript.pyannote[1703].end 10940.41409375
transcript.pyannote[1704].speaker SPEAKER_03
transcript.pyannote[1704].start 10943.78909375
transcript.pyannote[1704].end 10943.83971875
transcript.pyannote[1705].speaker SPEAKER_03
transcript.pyannote[1705].start 10943.85659375
transcript.pyannote[1705].end 10944.43034375
transcript.pyannote[1706].speaker SPEAKER_03
transcript.pyannote[1706].start 10944.93659375
transcript.pyannote[1706].end 10949.03721875
transcript.pyannote[1707].speaker SPEAKER_03
transcript.pyannote[1707].start 10949.98221875
transcript.pyannote[1707].end 10949.99909375
transcript.pyannote[1708].speaker SPEAKER_03
transcript.pyannote[1708].start 10950.01596875
transcript.pyannote[1708].end 10951.55159375
transcript.pyannote[1709].speaker SPEAKER_03
transcript.pyannote[1709].start 10952.56409375
transcript.pyannote[1709].end 10953.15471875
transcript.pyannote[1710].speaker SPEAKER_03
transcript.pyannote[1710].start 10954.58909375
transcript.pyannote[1710].end 10958.11596875
transcript.pyannote[1711].speaker SPEAKER_03
transcript.pyannote[1711].start 10959.22971875
transcript.pyannote[1711].end 10961.54159375
transcript.pyannote[1712].speaker SPEAKER_03
transcript.pyannote[1712].start 10963.00971875
transcript.pyannote[1712].end 10963.02659375
transcript.pyannote[1713].speaker SPEAKER_03
transcript.pyannote[1713].start 11070.23346875
transcript.pyannote[1713].end 11070.31784375
transcript.pyannote[1714].speaker SPEAKER_03
transcript.pyannote[1714].start 11070.72284375
transcript.pyannote[1714].end 11070.95909375
transcript.pyannote[1715].speaker SPEAKER_02
transcript.pyannote[1715].start 11102.73471875
transcript.pyannote[1715].end 11105.94096875
transcript.pyannote[1716].speaker SPEAKER_02
transcript.pyannote[1716].start 11107.05471875
transcript.pyannote[1716].end 11107.45971875
transcript.pyannote[1717].speaker SPEAKER_02
transcript.pyannote[1717].start 11110.49721875
transcript.pyannote[1717].end 11113.04534375
transcript.pyannote[1718].speaker SPEAKER_03
transcript.pyannote[1718].start 11144.31471875
transcript.pyannote[1718].end 11144.75346875
transcript.pyannote[1719].speaker SPEAKER_03
transcript.pyannote[1719].start 11151.03096875
transcript.pyannote[1719].end 11153.35971875
transcript.pyannote[1720].speaker SPEAKER_03
transcript.pyannote[1720].start 11155.87409375
transcript.pyannote[1720].end 11156.73471875
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 11187.07596875
transcript.pyannote[1721].end 11188.15596875
transcript.pyannote[1722].speaker SPEAKER_21
transcript.pyannote[1722].start 11231.47409375
transcript.pyannote[1722].end 11231.55846875
transcript.pyannote[1723].speaker SPEAKER_14
transcript.pyannote[1723].start 11231.55846875
transcript.pyannote[1723].end 11232.06471875
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 11231.57534375
transcript.pyannote[1724].end 11232.03096875
transcript.pyannote[1725].speaker SPEAKER_21
transcript.pyannote[1725].start 11232.06471875
transcript.pyannote[1725].end 11232.70596875
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 11245.54784375
transcript.pyannote[1726].end 11251.62284375
transcript.pyannote[1727].speaker SPEAKER_03
transcript.pyannote[1727].start 11251.97721875
transcript.pyannote[1727].end 11252.02784375
transcript.pyannote[1728].speaker SPEAKER_03
transcript.pyannote[1728].start 11252.14596875
transcript.pyannote[1728].end 11252.48346875
transcript.pyannote[1729].speaker SPEAKER_03
transcript.pyannote[1729].start 11428.87784375
transcript.pyannote[1729].end 11428.96221875
transcript.pyannote[1730].speaker SPEAKER_25
transcript.pyannote[1730].start 11428.96221875
transcript.pyannote[1730].end 11429.02971875
transcript.pyannote[1731].speaker SPEAKER_25
transcript.pyannote[1731].start 11429.06346875
transcript.pyannote[1731].end 11429.38409375
transcript.pyannote[1732].speaker SPEAKER_25
transcript.pyannote[1732].start 11429.75534375
transcript.pyannote[1732].end 11430.02534375
transcript.pyannote[1733].speaker SPEAKER_17
transcript.pyannote[1733].start 11443.64346875
transcript.pyannote[1733].end 11453.43096875
transcript.pyannote[1734].speaker SPEAKER_17
transcript.pyannote[1734].start 11453.68409375
transcript.pyannote[1734].end 11456.23221875
transcript.pyannote[1735].speaker SPEAKER_15
transcript.pyannote[1735].start 11464.55159375
transcript.pyannote[1735].end 11465.15909375
transcript.pyannote[1736].speaker SPEAKER_15
transcript.pyannote[1736].start 11465.98596875
transcript.pyannote[1736].end 11470.86284375
transcript.pyannote[1737].speaker SPEAKER_15
transcript.pyannote[1737].start 11471.35221875
transcript.pyannote[1737].end 11475.92534375
transcript.pyannote[1738].speaker SPEAKER_15
transcript.pyannote[1738].start 11476.12784375
transcript.pyannote[1738].end 11477.34284375
transcript.pyannote[1739].speaker SPEAKER_15
transcript.pyannote[1739].start 11477.57909375
transcript.pyannote[1739].end 11486.91096875
transcript.pyannote[1740].speaker SPEAKER_15
transcript.pyannote[1740].start 11487.24846875
transcript.pyannote[1740].end 11502.18284375
transcript.pyannote[1741].speaker SPEAKER_15
transcript.pyannote[1741].start 11502.99284375
transcript.pyannote[1741].end 11504.46096875
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 11505.01784375
transcript.pyannote[1742].end 11509.35471875
transcript.pyannote[1743].speaker SPEAKER_15
transcript.pyannote[1743].start 11510.28284375
transcript.pyannote[1743].end 11512.10534375
transcript.pyannote[1744].speaker SPEAKER_15
transcript.pyannote[1744].start 11512.51034375
transcript.pyannote[1744].end 11514.82221875
transcript.pyannote[1745].speaker SPEAKER_15
transcript.pyannote[1745].start 11515.17659375
transcript.pyannote[1745].end 11522.04471875
transcript.pyannote[1746].speaker SPEAKER_15
transcript.pyannote[1746].start 11523.07409375
transcript.pyannote[1746].end 11527.14096875
transcript.pyannote[1747].speaker SPEAKER_15
transcript.pyannote[1747].start 11527.41096875
transcript.pyannote[1747].end 11529.41909375
transcript.pyannote[1748].speaker SPEAKER_08
transcript.pyannote[1748].start 11531.07284375
transcript.pyannote[1748].end 11532.87846875
transcript.pyannote[1749].speaker SPEAKER_08
transcript.pyannote[1749].start 11533.38471875
transcript.pyannote[1749].end 11535.83159375
transcript.pyannote[1750].speaker SPEAKER_15
transcript.pyannote[1750].start 11536.82721875
transcript.pyannote[1750].end 11549.16284375
transcript.pyannote[1751].speaker SPEAKER_15
transcript.pyannote[1751].start 11549.78721875
transcript.pyannote[1751].end 11562.98346875
transcript.pyannote[1752].speaker SPEAKER_15
transcript.pyannote[1752].start 11563.81034375
transcript.pyannote[1752].end 11564.28284375
transcript.pyannote[1753].speaker SPEAKER_15
transcript.pyannote[1753].start 11565.26159375
transcript.pyannote[1753].end 11568.23159375
transcript.pyannote[1754].speaker SPEAKER_15
transcript.pyannote[1754].start 11568.48471875
transcript.pyannote[1754].end 11570.72909375
transcript.pyannote[1755].speaker SPEAKER_08
transcript.pyannote[1755].start 11570.93159375
transcript.pyannote[1755].end 11572.02846875
transcript.pyannote[1756].speaker SPEAKER_17
transcript.pyannote[1756].start 11572.02846875
transcript.pyannote[1756].end 11582.64284375
transcript.pyannote[1757].speaker SPEAKER_17
transcript.pyannote[1757].start 11582.89596875
transcript.pyannote[1757].end 11583.45284375
transcript.pyannote[1758].speaker SPEAKER_17
transcript.pyannote[1758].start 11583.79034375
transcript.pyannote[1758].end 11593.34159375
transcript.pyannote[1759].speaker SPEAKER_17
transcript.pyannote[1759].start 11593.79721875
transcript.pyannote[1759].end 11596.66596875
transcript.pyannote[1760].speaker SPEAKER_17
transcript.pyannote[1760].start 11597.25659375
transcript.pyannote[1760].end 11599.33221875
transcript.pyannote[1761].speaker SPEAKER_17
transcript.pyannote[1761].start 11600.15909375
transcript.pyannote[1761].end 11602.38659375
transcript.pyannote[1762].speaker SPEAKER_15
transcript.pyannote[1762].start 11601.88034375
transcript.pyannote[1762].end 11607.34784375
transcript.pyannote[1763].speaker SPEAKER_15
transcript.pyannote[1763].start 11608.39409375
transcript.pyannote[1763].end 11611.02659375
transcript.pyannote[1764].speaker SPEAKER_17
transcript.pyannote[1764].start 11611.02659375
transcript.pyannote[1764].end 11613.97971875
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 11614.24971875
transcript.pyannote[1765].end 11614.99221875
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 11616.17346875
transcript.pyannote[1766].end 11616.74721875
transcript.pyannote[1767].speaker SPEAKER_17
transcript.pyannote[1767].start 11618.65409375
transcript.pyannote[1767].end 11619.70034375
transcript.pyannote[1768].speaker SPEAKER_17
transcript.pyannote[1768].start 11623.44659375
transcript.pyannote[1768].end 11624.34096875
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 11625.28596875
transcript.pyannote[1769].end 11625.89346875
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 11627.64846875
transcript.pyannote[1770].end 11627.96909375
transcript.pyannote[1771].speaker SPEAKER_08
transcript.pyannote[1771].start 11628.23909375
transcript.pyannote[1771].end 11628.27284375
transcript.pyannote[1772].speaker SPEAKER_17
transcript.pyannote[1772].start 11628.27284375
transcript.pyannote[1772].end 11628.50909375
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 11628.50909375
transcript.pyannote[1773].end 11628.52596875
transcript.pyannote[1774].speaker SPEAKER_17
transcript.pyannote[1774].start 11628.52596875
transcript.pyannote[1774].end 11628.55971875
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 11628.55971875
transcript.pyannote[1775].end 11628.59346875
transcript.pyannote[1776].speaker SPEAKER_17
transcript.pyannote[1776].start 11628.59346875
transcript.pyannote[1776].end 11628.67784375
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 11628.67784375
transcript.pyannote[1777].end 11628.71159375
transcript.pyannote[1778].speaker SPEAKER_17
transcript.pyannote[1778].start 11628.71159375
transcript.pyannote[1778].end 11628.74534375
transcript.pyannote[1779].speaker SPEAKER_08
transcript.pyannote[1779].start 11628.74534375
transcript.pyannote[1779].end 11629.03221875
transcript.pyannote[1780].speaker SPEAKER_17
transcript.pyannote[1780].start 11629.72409375
transcript.pyannote[1780].end 11630.70284375
transcript.pyannote[1781].speaker SPEAKER_17
transcript.pyannote[1781].start 11631.00659375
transcript.pyannote[1781].end 11631.58034375
transcript.pyannote[1782].speaker SPEAKER_17
transcript.pyannote[1782].start 11632.08659375
transcript.pyannote[1782].end 11632.39034375
transcript.pyannote[1783].speaker SPEAKER_17
transcript.pyannote[1783].start 11632.79534375
transcript.pyannote[1783].end 11635.61346875
transcript.pyannote[1784].speaker SPEAKER_17
transcript.pyannote[1784].start 11635.93409375
transcript.pyannote[1784].end 11637.18284375
transcript.pyannote[1785].speaker SPEAKER_17
transcript.pyannote[1785].start 11637.82409375
transcript.pyannote[1785].end 11640.01784375
transcript.pyannote[1786].speaker SPEAKER_08
transcript.pyannote[1786].start 11640.01784375
transcript.pyannote[1786].end 11645.11409375
transcript.pyannote[1787].speaker SPEAKER_08
transcript.pyannote[1787].start 11645.38409375
transcript.pyannote[1787].end 11645.95784375
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 11646.31221875
transcript.pyannote[1788].end 11647.49346875
transcript.pyannote[1789].speaker SPEAKER_08
transcript.pyannote[1789].start 11647.76346875
transcript.pyannote[1789].end 11661.55034375
transcript.pyannote[1790].speaker SPEAKER_07
transcript.pyannote[1790].start 11650.36221875
transcript.pyannote[1790].end 11650.61534375
transcript.pyannote[1791].speaker SPEAKER_07
transcript.pyannote[1791].start 11657.33159375
transcript.pyannote[1791].end 11658.02346875
transcript.pyannote[1792].speaker SPEAKER_08
transcript.pyannote[1792].start 11661.73596875
transcript.pyannote[1792].end 11671.84409375
transcript.pyannote[1793].speaker SPEAKER_15
transcript.pyannote[1793].start 11671.48971875
transcript.pyannote[1793].end 11672.83971875
transcript.pyannote[1794].speaker SPEAKER_08
transcript.pyannote[1794].start 11672.50221875
transcript.pyannote[1794].end 11672.87346875
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 11672.87346875
transcript.pyannote[1795].end 11672.92409375
transcript.pyannote[1796].speaker SPEAKER_08
transcript.pyannote[1796].start 11672.92409375
transcript.pyannote[1796].end 11672.94096875
transcript.pyannote[1797].speaker SPEAKER_08
transcript.pyannote[1797].start 11673.14346875
transcript.pyannote[1797].end 11674.00409375
transcript.pyannote[1798].speaker SPEAKER_15
transcript.pyannote[1798].start 11674.20659375
transcript.pyannote[1798].end 11684.06159375
transcript.pyannote[1799].speaker SPEAKER_08
transcript.pyannote[1799].start 11678.17221875
transcript.pyannote[1799].end 11678.57721875
transcript.pyannote[1800].speaker SPEAKER_08
transcript.pyannote[1800].start 11684.06159375
transcript.pyannote[1800].end 11686.03596875
transcript.pyannote[1801].speaker SPEAKER_17
transcript.pyannote[1801].start 11686.03596875
transcript.pyannote[1801].end 11697.08909375
transcript.pyannote[1802].speaker SPEAKER_18
transcript.pyannote[1802].start 11691.85784375
transcript.pyannote[1802].end 11691.94221875
transcript.pyannote[1803].speaker SPEAKER_18
transcript.pyannote[1803].start 11691.95909375
transcript.pyannote[1803].end 11691.97596875
transcript.pyannote[1804].speaker SPEAKER_17
transcript.pyannote[1804].start 11697.49409375
transcript.pyannote[1804].end 11701.37534375
transcript.pyannote[1805].speaker SPEAKER_08
transcript.pyannote[1805].start 11702.28659375
transcript.pyannote[1805].end 11702.67471875
transcript.pyannote[1806].speaker SPEAKER_08
transcript.pyannote[1806].start 11703.40034375
transcript.pyannote[1806].end 11703.97409375
transcript.pyannote[1807].speaker SPEAKER_08
transcript.pyannote[1807].start 11704.58159375
transcript.pyannote[1807].end 11708.29409375
transcript.pyannote[1808].speaker SPEAKER_25
transcript.pyannote[1808].start 11707.92284375
transcript.pyannote[1808].end 11708.22659375
transcript.pyannote[1809].speaker SPEAKER_25
transcript.pyannote[1809].start 11708.83409375
transcript.pyannote[1809].end 11710.23471875
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 11708.96909375
transcript.pyannote[1810].end 11709.17159375
transcript.pyannote[1811].speaker SPEAKER_25
transcript.pyannote[1811].start 11710.50471875
transcript.pyannote[1811].end 11710.89284375
transcript.pyannote[1812].speaker SPEAKER_25
transcript.pyannote[1812].start 11711.80409375
transcript.pyannote[1812].end 11715.46596875
transcript.pyannote[1813].speaker SPEAKER_25
transcript.pyannote[1813].start 11715.76971875
transcript.pyannote[1813].end 11721.25409375
transcript.pyannote[1814].speaker SPEAKER_25
transcript.pyannote[1814].start 11721.84471875
transcript.pyannote[1814].end 11724.78096875
transcript.pyannote[1815].speaker SPEAKER_25
transcript.pyannote[1815].start 11725.60784375
transcript.pyannote[1815].end 11726.21534375
transcript.pyannote[1816].speaker SPEAKER_25
transcript.pyannote[1816].start 11726.82284375
transcript.pyannote[1816].end 11727.70034375
transcript.pyannote[1817].speaker SPEAKER_25
transcript.pyannote[1817].start 11727.90284375
transcript.pyannote[1817].end 11728.83096875
transcript.pyannote[1818].speaker SPEAKER_25
transcript.pyannote[1818].start 11729.48909375
transcript.pyannote[1818].end 11731.93596875
transcript.pyannote[1819].speaker SPEAKER_25
transcript.pyannote[1819].start 11732.35784375
transcript.pyannote[1819].end 11734.23096875
transcript.pyannote[1820].speaker SPEAKER_25
transcript.pyannote[1820].start 11734.72034375
transcript.pyannote[1820].end 11739.02346875
transcript.pyannote[1821].speaker SPEAKER_25
transcript.pyannote[1821].start 11739.52971875
transcript.pyannote[1821].end 11740.77846875
transcript.pyannote[1822].speaker SPEAKER_25
transcript.pyannote[1822].start 11740.98096875
transcript.pyannote[1822].end 11742.06096875
transcript.pyannote[1823].speaker SPEAKER_25
transcript.pyannote[1823].start 11742.87096875
transcript.pyannote[1823].end 11743.24221875
transcript.pyannote[1824].speaker SPEAKER_25
transcript.pyannote[1824].start 11744.54159375
transcript.pyannote[1824].end 11752.42221875
transcript.pyannote[1825].speaker SPEAKER_17
transcript.pyannote[1825].start 11748.86159375
transcript.pyannote[1825].end 11750.00909375
transcript.pyannote[1826].speaker SPEAKER_15
transcript.pyannote[1826].start 11750.09346875
transcript.pyannote[1826].end 11750.14409375
transcript.pyannote[1827].speaker SPEAKER_15
transcript.pyannote[1827].start 11752.42221875
transcript.pyannote[1827].end 11755.30784375
transcript.pyannote[1828].speaker SPEAKER_25
transcript.pyannote[1828].start 11753.60346875
transcript.pyannote[1828].end 11753.63721875
transcript.pyannote[1829].speaker SPEAKER_08
transcript.pyannote[1829].start 11753.63721875
transcript.pyannote[1829].end 11753.72159375
transcript.pyannote[1830].speaker SPEAKER_25
transcript.pyannote[1830].start 11753.72159375
transcript.pyannote[1830].end 11753.75534375
transcript.pyannote[1831].speaker SPEAKER_08
transcript.pyannote[1831].start 11753.75534375
transcript.pyannote[1831].end 11753.77221875
transcript.pyannote[1832].speaker SPEAKER_25
transcript.pyannote[1832].start 11753.77221875
transcript.pyannote[1832].end 11753.97471875
transcript.pyannote[1833].speaker SPEAKER_08
transcript.pyannote[1833].start 11755.30784375
transcript.pyannote[1833].end 11760.74159375
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 11761.26471875
transcript.pyannote[1834].end 11764.92659375
transcript.pyannote[1835].speaker SPEAKER_12
transcript.pyannote[1835].start 11764.99409375
transcript.pyannote[1835].end 11765.41596875
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 11765.17971875
transcript.pyannote[1836].end 11770.19159375
transcript.pyannote[1837].speaker SPEAKER_12
transcript.pyannote[1837].start 11768.65596875
transcript.pyannote[1837].end 11769.04409375
transcript.pyannote[1838].speaker SPEAKER_08
transcript.pyannote[1838].start 11770.49534375
transcript.pyannote[1838].end 11778.59534375
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 11779.27034375
transcript.pyannote[1839].end 11789.85096875
transcript.pyannote[1840].speaker SPEAKER_08
transcript.pyannote[1840].start 11790.64409375
transcript.pyannote[1840].end 11795.21721875
transcript.pyannote[1841].speaker SPEAKER_17
transcript.pyannote[1841].start 11796.29721875
transcript.pyannote[1841].end 11808.02534375
transcript.pyannote[1842].speaker SPEAKER_08
transcript.pyannote[1842].start 11806.32096875
transcript.pyannote[1842].end 11806.57409375
transcript.pyannote[1843].speaker SPEAKER_25
transcript.pyannote[1843].start 11806.57409375
transcript.pyannote[1843].end 11806.60784375
transcript.pyannote[1844].speaker SPEAKER_08
transcript.pyannote[1844].start 11806.60784375
transcript.pyannote[1844].end 11810.05034375
transcript.pyannote[1845].speaker SPEAKER_25
transcript.pyannote[1845].start 11808.02534375
transcript.pyannote[1845].end 11808.78471875
transcript.pyannote[1846].speaker SPEAKER_17
transcript.pyannote[1846].start 11808.78471875
transcript.pyannote[1846].end 11808.83534375
transcript.pyannote[1847].speaker SPEAKER_08
transcript.pyannote[1847].start 11810.08409375
transcript.pyannote[1847].end 11810.10096875
transcript.pyannote[1848].speaker SPEAKER_25
transcript.pyannote[1848].start 11810.10096875
transcript.pyannote[1848].end 11815.12971875
transcript.pyannote[1849].speaker SPEAKER_08
transcript.pyannote[1849].start 11810.89409375
transcript.pyannote[1849].end 11810.97846875
transcript.pyannote[1850].speaker SPEAKER_08
transcript.pyannote[1850].start 11811.02909375
transcript.pyannote[1850].end 11811.56909375
transcript.pyannote[1851].speaker SPEAKER_25
transcript.pyannote[1851].start 11815.48409375
transcript.pyannote[1851].end 11819.88846875
transcript.pyannote[1852].speaker SPEAKER_25
transcript.pyannote[1852].start 11820.34409375
transcript.pyannote[1852].end 11822.92596875
transcript.pyannote[1853].speaker SPEAKER_08
transcript.pyannote[1853].start 11822.03159375
transcript.pyannote[1853].end 11822.04846875
transcript.pyannote[1854].speaker SPEAKER_08
transcript.pyannote[1854].start 11822.48721875
transcript.pyannote[1854].end 11825.27159375
transcript.pyannote[1855].speaker SPEAKER_25
transcript.pyannote[1855].start 11826.43596875
transcript.pyannote[1855].end 11828.07284375
transcript.pyannote[1856].speaker SPEAKER_25
transcript.pyannote[1856].start 11828.39346875
transcript.pyannote[1856].end 11832.05534375
transcript.pyannote[1857].speaker SPEAKER_25
transcript.pyannote[1857].start 11832.40971875
transcript.pyannote[1857].end 11834.82284375
transcript.pyannote[1858].speaker SPEAKER_17
transcript.pyannote[1858].start 11834.50221875
transcript.pyannote[1858].end 11847.46221875
transcript.pyannote[1859].speaker SPEAKER_08
transcript.pyannote[1859].start 11846.68596875
transcript.pyannote[1859].end 11855.00534375
transcript.pyannote[1860].speaker SPEAKER_17
transcript.pyannote[1860].start 11849.97659375
transcript.pyannote[1860].end 11851.37721875
transcript.pyannote[1861].speaker SPEAKER_17
transcript.pyannote[1861].start 11853.79034375
transcript.pyannote[1861].end 11853.92534375
transcript.pyannote[1862].speaker SPEAKER_08
transcript.pyannote[1862].start 11855.25846875
transcript.pyannote[1862].end 11857.09784375
transcript.pyannote[1863].speaker SPEAKER_17
transcript.pyannote[1863].start 11861.73846875
transcript.pyannote[1863].end 11864.52284375
transcript.pyannote[1864].speaker SPEAKER_17
transcript.pyannote[1864].start 11865.50159375
transcript.pyannote[1864].end 11866.31159375
transcript.pyannote[1865].speaker SPEAKER_17
transcript.pyannote[1865].start 11866.83471875
transcript.pyannote[1865].end 11869.65284375
transcript.pyannote[1866].speaker SPEAKER_08
transcript.pyannote[1866].start 11869.93971875
transcript.pyannote[1866].end 11877.51659375
transcript.pyannote[1867].speaker SPEAKER_15
transcript.pyannote[1867].start 11876.50409375
transcript.pyannote[1867].end 11876.52096875
transcript.pyannote[1868].speaker SPEAKER_17
transcript.pyannote[1868].start 11876.52096875
transcript.pyannote[1868].end 11876.67284375
transcript.pyannote[1869].speaker SPEAKER_15
transcript.pyannote[1869].start 11876.67284375
transcript.pyannote[1869].end 11876.82471875
transcript.pyannote[1870].speaker SPEAKER_17
transcript.pyannote[1870].start 11876.82471875
transcript.pyannote[1870].end 11876.97659375
transcript.pyannote[1871].speaker SPEAKER_15
transcript.pyannote[1871].start 11876.97659375
transcript.pyannote[1871].end 11877.02721875
transcript.pyannote[1872].speaker SPEAKER_17
transcript.pyannote[1872].start 11877.02721875
transcript.pyannote[1872].end 11879.23784375
transcript.pyannote[1873].speaker SPEAKER_15
transcript.pyannote[1873].start 11877.51659375
transcript.pyannote[1873].end 11877.53346875
transcript.pyannote[1874].speaker SPEAKER_15
transcript.pyannote[1874].start 11879.23784375
transcript.pyannote[1874].end 11892.31596875
transcript.pyannote[1875].speaker SPEAKER_17
transcript.pyannote[1875].start 11879.32221875
transcript.pyannote[1875].end 11879.35596875
transcript.pyannote[1876].speaker SPEAKER_08
transcript.pyannote[1876].start 11879.35596875
transcript.pyannote[1876].end 11879.57534375
transcript.pyannote[1877].speaker SPEAKER_17
transcript.pyannote[1877].start 11879.57534375
transcript.pyannote[1877].end 11879.65971875
transcript.pyannote[1878].speaker SPEAKER_08
transcript.pyannote[1878].start 11879.65971875
transcript.pyannote[1878].end 11879.87909375
transcript.pyannote[1879].speaker SPEAKER_17
transcript.pyannote[1879].start 11885.39721875
transcript.pyannote[1879].end 11885.41409375
transcript.pyannote[1880].speaker SPEAKER_15
transcript.pyannote[1880].start 11892.51846875
transcript.pyannote[1880].end 11897.86784375
transcript.pyannote[1881].speaker SPEAKER_12
transcript.pyannote[1881].start 11896.90596875
transcript.pyannote[1881].end 11898.01971875
transcript.pyannote[1882].speaker SPEAKER_15
transcript.pyannote[1882].start 11897.98596875
transcript.pyannote[1882].end 11904.90471875
transcript.pyannote[1883].speaker SPEAKER_18
transcript.pyannote[1883].start 11905.05659375
transcript.pyannote[1883].end 11905.83284375
transcript.pyannote[1884].speaker SPEAKER_17
transcript.pyannote[1884].start 11905.83284375
transcript.pyannote[1884].end 11905.86659375
transcript.pyannote[1885].speaker SPEAKER_17
transcript.pyannote[1885].start 11906.32221875
transcript.pyannote[1885].end 11906.60909375
transcript.pyannote[1886].speaker SPEAKER_15
transcript.pyannote[1886].start 11906.60909375
transcript.pyannote[1886].end 11906.64284375
transcript.pyannote[1887].speaker SPEAKER_17
transcript.pyannote[1887].start 11906.64284375
transcript.pyannote[1887].end 11906.67659375
transcript.pyannote[1888].speaker SPEAKER_15
transcript.pyannote[1888].start 11906.67659375
transcript.pyannote[1888].end 11906.96346875
transcript.pyannote[1889].speaker SPEAKER_17
transcript.pyannote[1889].start 11906.96346875
transcript.pyannote[1889].end 11913.00471875
transcript.pyannote[1890].speaker SPEAKER_15
transcript.pyannote[1890].start 11909.84909375
transcript.pyannote[1890].end 11909.86596875
transcript.pyannote[1891].speaker SPEAKER_08
transcript.pyannote[1891].start 11909.86596875
transcript.pyannote[1891].end 11910.77721875
transcript.pyannote[1892].speaker SPEAKER_08
transcript.pyannote[1892].start 11911.38471875
transcript.pyannote[1892].end 11914.20284375
transcript.pyannote[1893].speaker SPEAKER_08
transcript.pyannote[1893].start 11914.57409375
transcript.pyannote[1893].end 11920.29471875
transcript.pyannote[1894].speaker SPEAKER_08
transcript.pyannote[1894].start 11920.42971875
transcript.pyannote[1894].end 11920.48034375
transcript.pyannote[1895].speaker SPEAKER_08
transcript.pyannote[1895].start 11920.64909375
transcript.pyannote[1895].end 11922.18471875
transcript.pyannote[1896].speaker SPEAKER_08
transcript.pyannote[1896].start 11922.43784375
transcript.pyannote[1896].end 11924.58096875
transcript.pyannote[1897].speaker SPEAKER_17
transcript.pyannote[1897].start 11925.45846875
transcript.pyannote[1897].end 11930.03159375
transcript.pyannote[1898].speaker SPEAKER_08
transcript.pyannote[1898].start 11928.05721875
transcript.pyannote[1898].end 11928.76596875
transcript.pyannote[1899].speaker SPEAKER_08
transcript.pyannote[1899].start 11929.13721875
transcript.pyannote[1899].end 11930.48721875
transcript.pyannote[1900].speaker SPEAKER_08
transcript.pyannote[1900].start 11930.77409375
transcript.pyannote[1900].end 11930.87534375
transcript.pyannote[1901].speaker SPEAKER_17
transcript.pyannote[1901].start 11930.87534375
transcript.pyannote[1901].end 11930.90909375
transcript.pyannote[1902].speaker SPEAKER_08
transcript.pyannote[1902].start 11930.90909375
transcript.pyannote[1902].end 11930.95971875
transcript.pyannote[1903].speaker SPEAKER_08
transcript.pyannote[1903].start 11931.02721875
transcript.pyannote[1903].end 11934.03096875
transcript.pyannote[1904].speaker SPEAKER_17
transcript.pyannote[1904].start 11935.17846875
transcript.pyannote[1904].end 11935.53284375
transcript.pyannote[1905].speaker SPEAKER_17
transcript.pyannote[1905].start 11937.13596875
transcript.pyannote[1905].end 11940.84846875
transcript.pyannote[1906].speaker SPEAKER_08
transcript.pyannote[1906].start 11939.27909375
transcript.pyannote[1906].end 11940.17346875
transcript.pyannote[1907].speaker SPEAKER_17
transcript.pyannote[1907].start 11941.27034375
transcript.pyannote[1907].end 11952.07034375
transcript.pyannote[1908].speaker SPEAKER_08
transcript.pyannote[1908].start 11941.96221875
transcript.pyannote[1908].end 11942.40096875
transcript.pyannote[1909].speaker SPEAKER_08
transcript.pyannote[1909].start 11943.04221875
transcript.pyannote[1909].end 11944.69596875
transcript.pyannote[1910].speaker SPEAKER_08
transcript.pyannote[1910].start 11947.19346875
transcript.pyannote[1910].end 11948.03721875
transcript.pyannote[1911].speaker SPEAKER_15
transcript.pyannote[1911].start 11948.03721875
transcript.pyannote[1911].end 11948.54346875
transcript.pyannote[1912].speaker SPEAKER_15
transcript.pyannote[1912].start 11950.82159375
transcript.pyannote[1912].end 11951.91846875
transcript.pyannote[1913].speaker SPEAKER_17
transcript.pyannote[1913].start 11953.92659375
transcript.pyannote[1913].end 11955.24284375
transcript.pyannote[1914].speaker SPEAKER_15
transcript.pyannote[1914].start 11955.54659375
transcript.pyannote[1914].end 11962.43159375
transcript.pyannote[1915].speaker SPEAKER_15
transcript.pyannote[1915].start 11962.83659375
transcript.pyannote[1915].end 11965.48596875
transcript.pyannote[1916].speaker SPEAKER_15
transcript.pyannote[1916].start 11966.04284375
transcript.pyannote[1916].end 11966.83596875
transcript.pyannote[1917].speaker SPEAKER_15
transcript.pyannote[1917].start 11968.06784375
transcript.pyannote[1917].end 11968.59096875
transcript.pyannote[1918].speaker SPEAKER_15
transcript.pyannote[1918].start 11969.60346875
transcript.pyannote[1918].end 11970.88596875
transcript.pyannote[1919].speaker SPEAKER_15
transcript.pyannote[1919].start 11971.72971875
transcript.pyannote[1919].end 11979.08721875
transcript.pyannote[1920].speaker SPEAKER_15
transcript.pyannote[1920].start 11983.55909375
transcript.pyannote[1920].end 11984.04846875
transcript.pyannote[1921].speaker SPEAKER_15
transcript.pyannote[1921].start 11986.49534375
transcript.pyannote[1921].end 11987.64284375
transcript.pyannote[1922].speaker SPEAKER_15
transcript.pyannote[1922].start 11988.03096875
transcript.pyannote[1922].end 11992.90784375
transcript.pyannote[1923].speaker SPEAKER_15
transcript.pyannote[1923].start 11993.75159375
transcript.pyannote[1923].end 11998.24034375
transcript.pyannote[1924].speaker SPEAKER_15
transcript.pyannote[1924].start 11998.66221875
transcript.pyannote[1924].end 12000.02909375
transcript.pyannote[1925].speaker SPEAKER_17
transcript.pyannote[1925].start 12000.02909375
transcript.pyannote[1925].end 12001.86846875
transcript.pyannote[1926].speaker SPEAKER_17
transcript.pyannote[1926].start 12002.17221875
transcript.pyannote[1926].end 12004.31534375
transcript.pyannote[1927].speaker SPEAKER_25
transcript.pyannote[1927].start 12004.31534375
transcript.pyannote[1927].end 12005.85096875
transcript.pyannote[1928].speaker SPEAKER_17
transcript.pyannote[1928].start 12004.34909375
transcript.pyannote[1928].end 12005.20971875
transcript.pyannote[1929].speaker SPEAKER_11
transcript.pyannote[1929].start 12005.85096875
transcript.pyannote[1929].end 12005.86784375
transcript.pyannote[1930].speaker SPEAKER_25
transcript.pyannote[1930].start 12006.15471875
transcript.pyannote[1930].end 12006.86346875
transcript.pyannote[1931].speaker SPEAKER_25
transcript.pyannote[1931].start 12007.53846875
transcript.pyannote[1931].end 12010.94721875
transcript.pyannote[1932].speaker SPEAKER_25
transcript.pyannote[1932].start 12012.12846875
transcript.pyannote[1932].end 12013.96784375
transcript.pyannote[1933].speaker SPEAKER_17
transcript.pyannote[1933].start 12013.96784375
transcript.pyannote[1933].end 12014.77784375
transcript.pyannote[1934].speaker SPEAKER_08
transcript.pyannote[1934].start 12014.20409375
transcript.pyannote[1934].end 12015.90846875
transcript.pyannote[1935].speaker SPEAKER_25
transcript.pyannote[1935].start 12014.77784375
transcript.pyannote[1935].end 12014.79471875
transcript.pyannote[1936].speaker SPEAKER_08
transcript.pyannote[1936].start 12017.35971875
transcript.pyannote[1936].end 12017.96721875
transcript.pyannote[1937].speaker SPEAKER_08
transcript.pyannote[1937].start 12018.25409375
transcript.pyannote[1937].end 12020.86971875
transcript.pyannote[1938].speaker SPEAKER_17
transcript.pyannote[1938].start 12020.86971875
transcript.pyannote[1938].end 12021.25784375
transcript.pyannote[1939].speaker SPEAKER_08
transcript.pyannote[1939].start 12021.25784375
transcript.pyannote[1939].end 12021.71346875
transcript.pyannote[1940].speaker SPEAKER_17
transcript.pyannote[1940].start 12023.95784375
transcript.pyannote[1940].end 12025.34159375
transcript.pyannote[1941].speaker SPEAKER_17
transcript.pyannote[1941].start 12027.50159375
transcript.pyannote[1941].end 12028.90221875
transcript.pyannote[1942].speaker SPEAKER_17
transcript.pyannote[1942].start 12030.23534375
transcript.pyannote[1942].end 12030.85971875
transcript.pyannote[1943].speaker SPEAKER_17
transcript.pyannote[1943].start 12033.50909375
transcript.pyannote[1943].end 12033.96471875
transcript.pyannote[1944].speaker SPEAKER_15
transcript.pyannote[1944].start 12033.96471875
transcript.pyannote[1944].end 12035.80409375
transcript.pyannote[1945].speaker SPEAKER_15
transcript.pyannote[1945].start 12036.25971875
transcript.pyannote[1945].end 12043.97159375
transcript.pyannote[1946].speaker SPEAKER_15
transcript.pyannote[1946].start 12044.34284375
transcript.pyannote[1946].end 12050.08034375
transcript.pyannote[1947].speaker SPEAKER_15
transcript.pyannote[1947].start 12050.35034375
transcript.pyannote[1947].end 12051.97034375
transcript.pyannote[1948].speaker SPEAKER_15
transcript.pyannote[1948].start 12052.29096875
transcript.pyannote[1948].end 12054.40034375
transcript.pyannote[1949].speaker SPEAKER_15
transcript.pyannote[1949].start 12054.77159375
transcript.pyannote[1949].end 12061.74096875
transcript.pyannote[1950].speaker SPEAKER_15
transcript.pyannote[1950].start 12062.09534375
transcript.pyannote[1950].end 12063.79971875
transcript.pyannote[1951].speaker SPEAKER_15
transcript.pyannote[1951].start 12064.23846875
transcript.pyannote[1951].end 12068.65971875
transcript.pyannote[1952].speaker SPEAKER_15
transcript.pyannote[1952].start 12068.81159375
transcript.pyannote[1952].end 12070.12784375
transcript.pyannote[1953].speaker SPEAKER_15
transcript.pyannote[1953].start 12070.46534375
transcript.pyannote[1953].end 12071.22471875
transcript.pyannote[1954].speaker SPEAKER_15
transcript.pyannote[1954].start 12074.07659375
transcript.pyannote[1954].end 12074.76846875
transcript.pyannote[1955].speaker SPEAKER_15
transcript.pyannote[1955].start 12076.05096875
transcript.pyannote[1955].end 12078.85221875
transcript.pyannote[1956].speaker SPEAKER_15
transcript.pyannote[1956].start 12080.03346875
transcript.pyannote[1956].end 12082.75034375
transcript.pyannote[1957].speaker SPEAKER_15
transcript.pyannote[1957].start 12083.61096875
transcript.pyannote[1957].end 12084.97784375
transcript.pyannote[1958].speaker SPEAKER_15
transcript.pyannote[1958].start 12085.36596875
transcript.pyannote[1958].end 12088.48784375
transcript.pyannote[1959].speaker SPEAKER_15
transcript.pyannote[1959].start 12089.02784375
transcript.pyannote[1959].end 12089.41596875
transcript.pyannote[1960].speaker SPEAKER_15
transcript.pyannote[1960].start 12089.61846875
transcript.pyannote[1960].end 12090.95159375
transcript.pyannote[1961].speaker SPEAKER_15
transcript.pyannote[1961].start 12091.94721875
transcript.pyannote[1961].end 12092.57159375
transcript.pyannote[1962].speaker SPEAKER_15
transcript.pyannote[1962].start 12093.48284375
transcript.pyannote[1962].end 12095.86221875
transcript.pyannote[1963].speaker SPEAKER_15
transcript.pyannote[1963].start 12096.90846875
transcript.pyannote[1963].end 12102.44346875
transcript.pyannote[1964].speaker SPEAKER_15
transcript.pyannote[1964].start 12102.83159375
transcript.pyannote[1964].end 12103.21971875
transcript.pyannote[1965].speaker SPEAKER_15
transcript.pyannote[1965].start 12103.94534375
transcript.pyannote[1965].end 12107.23596875
transcript.pyannote[1966].speaker SPEAKER_15
transcript.pyannote[1966].start 12107.55659375
transcript.pyannote[1966].end 12109.68284375
transcript.pyannote[1967].speaker SPEAKER_15
transcript.pyannote[1967].start 12110.15534375
transcript.pyannote[1967].end 12110.69534375
transcript.pyannote[1968].speaker SPEAKER_15
transcript.pyannote[1968].start 12111.33659375
transcript.pyannote[1968].end 12113.64846875
transcript.pyannote[1969].speaker SPEAKER_15
transcript.pyannote[1969].start 12114.03659375
transcript.pyannote[1969].end 12116.14596875
transcript.pyannote[1970].speaker SPEAKER_15
transcript.pyannote[1970].start 12116.71971875
transcript.pyannote[1970].end 12120.97221875
transcript.pyannote[1971].speaker SPEAKER_15
transcript.pyannote[1971].start 12121.47846875
transcript.pyannote[1971].end 12132.64971875
transcript.pyannote[1972].speaker SPEAKER_15
transcript.pyannote[1972].start 12132.78471875
transcript.pyannote[1972].end 12137.49284375
transcript.pyannote[1973].speaker SPEAKER_15
transcript.pyannote[1973].start 12138.23534375
transcript.pyannote[1973].end 12141.30659375
transcript.pyannote[1974].speaker SPEAKER_15
transcript.pyannote[1974].start 12141.67784375
transcript.pyannote[1974].end 12145.99784375
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 12146.01471875
transcript.pyannote[1975].end 12146.50409375
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 12146.97659375
transcript.pyannote[1976].end 12148.00596875
transcript.pyannote[1977].speaker SPEAKER_15
transcript.pyannote[1977].start 12148.37721875
transcript.pyannote[1977].end 12150.01409375
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 12150.79034375
transcript.pyannote[1978].end 12153.74346875
transcript.pyannote[1979].speaker SPEAKER_15
transcript.pyannote[1979].start 12154.48596875
transcript.pyannote[1979].end 12156.02159375
transcript.pyannote[1980].speaker SPEAKER_15
transcript.pyannote[1980].start 12156.29159375
transcript.pyannote[1980].end 12156.89909375
transcript.pyannote[1981].speaker SPEAKER_15
transcript.pyannote[1981].start 12157.30409375
transcript.pyannote[1981].end 12158.23221875
transcript.pyannote[1982].speaker SPEAKER_15
transcript.pyannote[1982].start 12158.53596875
transcript.pyannote[1982].end 12163.71659375
transcript.pyannote[1983].speaker SPEAKER_15
transcript.pyannote[1983].start 12163.98659375
transcript.pyannote[1983].end 12168.05346875
transcript.pyannote[1984].speaker SPEAKER_15
transcript.pyannote[1984].start 12168.32346875
transcript.pyannote[1984].end 12173.43659375
transcript.pyannote[1985].speaker SPEAKER_15
transcript.pyannote[1985].start 12176.64284375
transcript.pyannote[1985].end 12176.67659375
transcript.pyannote[1986].speaker SPEAKER_25
transcript.pyannote[1986].start 12176.67659375
transcript.pyannote[1986].end 12178.53284375
transcript.pyannote[1987].speaker SPEAKER_25
transcript.pyannote[1987].start 12178.87034375
transcript.pyannote[1987].end 12183.15659375
transcript.pyannote[1988].speaker SPEAKER_25
transcript.pyannote[1988].start 12183.57846875
transcript.pyannote[1988].end 12184.33784375
transcript.pyannote[1989].speaker SPEAKER_25
transcript.pyannote[1989].start 12184.79346875
transcript.pyannote[1989].end 12187.24034375
transcript.pyannote[1990].speaker SPEAKER_25
transcript.pyannote[1990].start 12188.32034375
transcript.pyannote[1990].end 12190.58159375
transcript.pyannote[1991].speaker SPEAKER_25
transcript.pyannote[1991].start 12190.91909375
transcript.pyannote[1991].end 12194.44596875
transcript.pyannote[1992].speaker SPEAKER_25
transcript.pyannote[1992].start 12196.85909375
transcript.pyannote[1992].end 12197.34846875
transcript.pyannote[1993].speaker SPEAKER_25
transcript.pyannote[1993].start 12197.63534375
transcript.pyannote[1993].end 12197.93909375
transcript.pyannote[1994].speaker SPEAKER_25
transcript.pyannote[1994].start 12198.81659375
transcript.pyannote[1994].end 12201.88784375
transcript.pyannote[1995].speaker SPEAKER_25
transcript.pyannote[1995].start 12202.32659375
transcript.pyannote[1995].end 12203.06909375
transcript.pyannote[1996].speaker SPEAKER_25
transcript.pyannote[1996].start 12203.60909375
transcript.pyannote[1996].end 12207.15284375
transcript.pyannote[1997].speaker SPEAKER_25
transcript.pyannote[1997].start 12207.45659375
transcript.pyannote[1997].end 12207.99659375
transcript.pyannote[1998].speaker SPEAKER_25
transcript.pyannote[1998].start 12208.67159375
transcript.pyannote[1998].end 12210.54471875
transcript.pyannote[1999].speaker SPEAKER_15
transcript.pyannote[1999].start 12208.70534375
transcript.pyannote[1999].end 12209.14409375
transcript.pyannote[2000].speaker SPEAKER_15
transcript.pyannote[2000].start 12210.54471875
transcript.pyannote[2000].end 12213.85221875
transcript.pyannote[2001].speaker SPEAKER_25
transcript.pyannote[2001].start 12213.66659375
transcript.pyannote[2001].end 12224.63534375
transcript.pyannote[2002].speaker SPEAKER_06
transcript.pyannote[2002].start 12227.40284375
transcript.pyannote[2002].end 12227.89221875
transcript.pyannote[2003].speaker SPEAKER_06
transcript.pyannote[2003].start 12228.21284375
transcript.pyannote[2003].end 12228.82034375
transcript.pyannote[2004].speaker SPEAKER_06
transcript.pyannote[2004].start 12231.53721875
transcript.pyannote[2004].end 12234.22034375
transcript.pyannote[2005].speaker SPEAKER_06
transcript.pyannote[2005].start 12234.69284375
transcript.pyannote[2005].end 12241.29096875
transcript.pyannote[2006].speaker SPEAKER_06
transcript.pyannote[2006].start 12241.84784375
transcript.pyannote[2006].end 12243.45096875
transcript.pyannote[2007].speaker SPEAKER_06
transcript.pyannote[2007].start 12243.67034375
transcript.pyannote[2007].end 12245.64471875
transcript.pyannote[2008].speaker SPEAKER_06
transcript.pyannote[2008].start 12245.98221875
transcript.pyannote[2008].end 12252.31034375
transcript.pyannote[2009].speaker SPEAKER_06
transcript.pyannote[2009].start 12252.74909375
transcript.pyannote[2009].end 12253.72784375
transcript.pyannote[2010].speaker SPEAKER_06
transcript.pyannote[2010].start 12254.16659375
transcript.pyannote[2010].end 12257.33909375
transcript.pyannote[2011].speaker SPEAKER_06
transcript.pyannote[2011].start 12257.60909375
transcript.pyannote[2011].end 12258.40221875
transcript.pyannote[2012].speaker SPEAKER_06
transcript.pyannote[2012].start 12259.22909375
transcript.pyannote[2012].end 12260.54534375
transcript.pyannote[2013].speaker SPEAKER_06
transcript.pyannote[2013].start 12261.45659375
transcript.pyannote[2013].end 12263.41409375
transcript.pyannote[2014].speaker SPEAKER_15
transcript.pyannote[2014].start 12264.39284375
transcript.pyannote[2014].end 12281.67284375
transcript.pyannote[2015].speaker SPEAKER_15
transcript.pyannote[2015].start 12282.07784375
transcript.pyannote[2015].end 12282.44909375
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 12283.10721875
transcript.pyannote[2016].end 12296.70846875
transcript.pyannote[2017].speaker SPEAKER_17
transcript.pyannote[2017].start 12305.60159375
transcript.pyannote[2017].end 12306.66471875
transcript.pyannote[2018].speaker SPEAKER_17
transcript.pyannote[2018].start 12308.60534375
transcript.pyannote[2018].end 12310.73159375
transcript.pyannote[2019].speaker SPEAKER_13
transcript.pyannote[2019].start 12311.82846875
transcript.pyannote[2019].end 12312.38534375
transcript.pyannote[2020].speaker SPEAKER_17
transcript.pyannote[2020].start 12313.06034375
transcript.pyannote[2020].end 12313.81971875
transcript.pyannote[2021].speaker SPEAKER_15
transcript.pyannote[2021].start 12318.22409375
transcript.pyannote[2021].end 12320.31659375
transcript.pyannote[2022].speaker SPEAKER_06
transcript.pyannote[2022].start 12320.31659375
transcript.pyannote[2022].end 12320.48534375
transcript.pyannote[2023].speaker SPEAKER_17
transcript.pyannote[2023].start 12320.48534375
transcript.pyannote[2023].end 12320.51909375
transcript.pyannote[2024].speaker SPEAKER_15
transcript.pyannote[2024].start 12320.51909375
transcript.pyannote[2024].end 12320.63721875
transcript.pyannote[2025].speaker SPEAKER_06
transcript.pyannote[2025].start 12320.63721875
transcript.pyannote[2025].end 12320.65409375
transcript.pyannote[2026].speaker SPEAKER_15
transcript.pyannote[2026].start 12320.65409375
transcript.pyannote[2026].end 12320.97471875
transcript.pyannote[2027].speaker SPEAKER_06
transcript.pyannote[2027].start 12320.97471875
transcript.pyannote[2027].end 12320.99159375
transcript.pyannote[2028].speaker SPEAKER_17
transcript.pyannote[2028].start 12320.99159375
transcript.pyannote[2028].end 12321.07596875
transcript.pyannote[2029].speaker SPEAKER_15
transcript.pyannote[2029].start 12321.07596875
transcript.pyannote[2029].end 12321.19409375
transcript.pyannote[2030].speaker SPEAKER_17
transcript.pyannote[2030].start 12321.19409375
transcript.pyannote[2030].end 12321.81846875
transcript.pyannote[2031].speaker SPEAKER_15
transcript.pyannote[2031].start 12321.81846875
transcript.pyannote[2031].end 12324.97409375
transcript.pyannote[2032].speaker SPEAKER_17
transcript.pyannote[2032].start 12321.83534375
transcript.pyannote[2032].end 12322.39221875
transcript.pyannote[2033].speaker SPEAKER_06
transcript.pyannote[2033].start 12322.39221875
transcript.pyannote[2033].end 12324.06284375
transcript.pyannote[2034].speaker SPEAKER_06
transcript.pyannote[2034].start 12325.81784375
transcript.pyannote[2034].end 12329.76659375
transcript.pyannote[2035].speaker SPEAKER_15
transcript.pyannote[2035].start 12327.21846875
transcript.pyannote[2035].end 12328.87221875
transcript.pyannote[2036].speaker SPEAKER_06
transcript.pyannote[2036].start 12329.86784375
transcript.pyannote[2036].end 12331.35284375
transcript.pyannote[2037].speaker SPEAKER_17
transcript.pyannote[2037].start 12332.56784375
transcript.pyannote[2037].end 12342.50721875
transcript.pyannote[2038].speaker SPEAKER_17
transcript.pyannote[2038].start 12342.84471875
transcript.pyannote[2038].end 12344.71784375
transcript.pyannote[2039].speaker SPEAKER_17
transcript.pyannote[2039].start 12344.88659375
transcript.pyannote[2039].end 12348.17721875
transcript.pyannote[2040].speaker SPEAKER_17
transcript.pyannote[2040].start 12348.32909375
transcript.pyannote[2040].end 12351.50159375
transcript.pyannote[2041].speaker SPEAKER_17
transcript.pyannote[2041].start 12351.70409375
transcript.pyannote[2041].end 12353.81346875
transcript.pyannote[2042].speaker SPEAKER_17
transcript.pyannote[2042].start 12354.45471875
transcript.pyannote[2042].end 12358.15034375
transcript.pyannote[2043].speaker SPEAKER_17
transcript.pyannote[2043].start 12358.94346875
transcript.pyannote[2043].end 12362.40284375
transcript.pyannote[2044].speaker SPEAKER_17
transcript.pyannote[2044].start 12362.82471875
transcript.pyannote[2044].end 12365.28846875
transcript.pyannote[2045].speaker SPEAKER_17
transcript.pyannote[2045].start 12365.92971875
transcript.pyannote[2045].end 12366.23346875
transcript.pyannote[2046].speaker SPEAKER_17
transcript.pyannote[2046].start 12366.55409375
transcript.pyannote[2046].end 12367.88721875
transcript.pyannote[2047].speaker SPEAKER_17
transcript.pyannote[2047].start 12369.15284375
transcript.pyannote[2047].end 12373.67534375
transcript.pyannote[2048].speaker SPEAKER_17
transcript.pyannote[2048].start 12374.09721875
transcript.pyannote[2048].end 12379.44659375
transcript.pyannote[2049].speaker SPEAKER_17
transcript.pyannote[2049].start 12379.95284375
transcript.pyannote[2049].end 12385.67346875
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 12386.33159375
transcript.pyannote[2050].end 12389.36909375
transcript.pyannote[2051].speaker SPEAKER_15
transcript.pyannote[2051].start 12389.36909375
transcript.pyannote[2051].end 12389.40284375
transcript.pyannote[2052].speaker SPEAKER_02
transcript.pyannote[2052].start 12390.60096875
transcript.pyannote[2052].end 12391.15784375
transcript.pyannote[2053].speaker SPEAKER_15
transcript.pyannote[2053].start 12391.96784375
transcript.pyannote[2053].end 12394.76909375
transcript.pyannote[2054].speaker SPEAKER_15
transcript.pyannote[2054].start 12395.05596875
transcript.pyannote[2054].end 12398.39721875
transcript.pyannote[2055].speaker SPEAKER_15
transcript.pyannote[2055].start 12399.00471875
transcript.pyannote[2055].end 12403.40909375
transcript.pyannote[2056].speaker SPEAKER_15
transcript.pyannote[2056].start 12403.62846875
transcript.pyannote[2056].end 12407.74596875
transcript.pyannote[2057].speaker SPEAKER_17
transcript.pyannote[2057].start 12403.67909375
transcript.pyannote[2057].end 12406.91909375
transcript.pyannote[2058].speaker SPEAKER_15
transcript.pyannote[2058].start 12408.06659375
transcript.pyannote[2058].end 12413.50034375
transcript.pyannote[2059].speaker SPEAKER_15
transcript.pyannote[2059].start 12413.85471875
transcript.pyannote[2059].end 12415.89659375
transcript.pyannote[2060].speaker SPEAKER_15
transcript.pyannote[2060].start 12416.70659375
transcript.pyannote[2060].end 12418.32659375
transcript.pyannote[2061].speaker SPEAKER_15
transcript.pyannote[2061].start 12418.95096875
transcript.pyannote[2061].end 12421.56659375
transcript.pyannote[2062].speaker SPEAKER_15
transcript.pyannote[2062].start 12422.02221875
transcript.pyannote[2062].end 12422.98409375
transcript.pyannote[2063].speaker SPEAKER_15
transcript.pyannote[2063].start 12423.54096875
transcript.pyannote[2063].end 12426.05534375
transcript.pyannote[2064].speaker SPEAKER_15
transcript.pyannote[2064].start 12426.52784375
transcript.pyannote[2064].end 12431.45534375
transcript.pyannote[2065].speaker SPEAKER_15
transcript.pyannote[2065].start 12431.52284375
transcript.pyannote[2065].end 12439.67346875
transcript.pyannote[2066].speaker SPEAKER_15
transcript.pyannote[2066].start 12440.07846875
transcript.pyannote[2066].end 12448.22909375
transcript.pyannote[2067].speaker SPEAKER_15
transcript.pyannote[2067].start 12448.81971875
transcript.pyannote[2067].end 12465.72846875
transcript.pyannote[2068].speaker SPEAKER_15
transcript.pyannote[2068].start 12466.08284375
transcript.pyannote[2068].end 12469.94721875
transcript.pyannote[2069].speaker SPEAKER_15
transcript.pyannote[2069].start 12470.30159375
transcript.pyannote[2069].end 12471.31409375
transcript.pyannote[2070].speaker SPEAKER_15
transcript.pyannote[2070].start 12471.48284375
transcript.pyannote[2070].end 12473.94659375
transcript.pyannote[2071].speaker SPEAKER_15
transcript.pyannote[2071].start 12474.36846875
transcript.pyannote[2071].end 12477.50721875
transcript.pyannote[2072].speaker SPEAKER_15
transcript.pyannote[2072].start 12478.16534375
transcript.pyannote[2072].end 12480.64596875
transcript.pyannote[2073].speaker SPEAKER_15
transcript.pyannote[2073].start 12482.28284375
transcript.pyannote[2073].end 12483.02534375
transcript.pyannote[2074].speaker SPEAKER_17
transcript.pyannote[2074].start 12483.02534375
transcript.pyannote[2074].end 12494.28096875
transcript.pyannote[2075].speaker SPEAKER_06
transcript.pyannote[2075].start 12498.34784375
transcript.pyannote[2075].end 12501.31784375
transcript.pyannote[2076].speaker SPEAKER_06
transcript.pyannote[2076].start 12502.26284375
transcript.pyannote[2076].end 12504.77721875
transcript.pyannote[2077].speaker SPEAKER_06
transcript.pyannote[2077].start 12504.79409375
transcript.pyannote[2077].end 12507.15659375
transcript.pyannote[2078].speaker SPEAKER_06
transcript.pyannote[2078].start 12507.54471875
transcript.pyannote[2078].end 12511.24034375
transcript.pyannote[2079].speaker SPEAKER_06
transcript.pyannote[2079].start 12511.47659375
transcript.pyannote[2079].end 12512.79284375
transcript.pyannote[2080].speaker SPEAKER_06
transcript.pyannote[2080].start 12513.18096875
transcript.pyannote[2080].end 12515.86409375
transcript.pyannote[2081].speaker SPEAKER_06
transcript.pyannote[2081].start 12516.48846875
transcript.pyannote[2081].end 12517.02846875
transcript.pyannote[2082].speaker SPEAKER_06
transcript.pyannote[2082].start 12517.51784375
transcript.pyannote[2082].end 12518.56409375
transcript.pyannote[2083].speaker SPEAKER_06
transcript.pyannote[2083].start 12519.12096875
transcript.pyannote[2083].end 12520.70721875
transcript.pyannote[2084].speaker SPEAKER_06
transcript.pyannote[2084].start 12521.06159375
transcript.pyannote[2084].end 12523.03596875
transcript.pyannote[2085].speaker SPEAKER_06
transcript.pyannote[2085].start 12523.50846875
transcript.pyannote[2085].end 12525.29721875
transcript.pyannote[2086].speaker SPEAKER_06
transcript.pyannote[2086].start 12525.61784375
transcript.pyannote[2086].end 12533.07659375
transcript.pyannote[2087].speaker SPEAKER_06
transcript.pyannote[2087].start 12533.86971875
transcript.pyannote[2087].end 12535.42221875
transcript.pyannote[2088].speaker SPEAKER_06
transcript.pyannote[2088].start 12536.87346875
transcript.pyannote[2088].end 12538.03784375
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 12539.72534375
transcript.pyannote[2089].end 12540.87284375
transcript.pyannote[2090].speaker SPEAKER_17
transcript.pyannote[2090].start 12541.69971875
transcript.pyannote[2090].end 12544.51784375
transcript.pyannote[2091].speaker SPEAKER_06
transcript.pyannote[2091].start 12543.82596875
transcript.pyannote[2091].end 12546.96471875
transcript.pyannote[2092].speaker SPEAKER_17
transcript.pyannote[2092].start 12546.39096875
transcript.pyannote[2092].end 12546.67784375
transcript.pyannote[2093].speaker SPEAKER_17
transcript.pyannote[2093].start 12546.96471875
transcript.pyannote[2093].end 12546.98159375
transcript.pyannote[2094].speaker SPEAKER_06
transcript.pyannote[2094].start 12546.98159375
transcript.pyannote[2094].end 12546.99846875
transcript.pyannote[2095].speaker SPEAKER_17
transcript.pyannote[2095].start 12547.80846875
transcript.pyannote[2095].end 12549.58034375
transcript.pyannote[2096].speaker SPEAKER_06
transcript.pyannote[2096].start 12550.74471875
transcript.pyannote[2096].end 12557.49471875
transcript.pyannote[2097].speaker SPEAKER_06
transcript.pyannote[2097].start 12558.05159375
transcript.pyannote[2097].end 12561.05534375
transcript.pyannote[2098].speaker SPEAKER_06
transcript.pyannote[2098].start 12561.47721875
transcript.pyannote[2098].end 12582.13221875
transcript.pyannote[2099].speaker SPEAKER_18
transcript.pyannote[2099].start 12567.85596875
transcript.pyannote[2099].end 12568.53096875
transcript.pyannote[2100].speaker SPEAKER_17
transcript.pyannote[2100].start 12581.27159375
transcript.pyannote[2100].end 12583.53284375
transcript.pyannote[2101].speaker SPEAKER_06
transcript.pyannote[2101].start 12582.55409375
transcript.pyannote[2101].end 12586.73909375
transcript.pyannote[2102].speaker SPEAKER_17
transcript.pyannote[2102].start 12583.58346875
transcript.pyannote[2102].end 12584.17409375
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 12586.23284375
transcript.pyannote[2103].end 12586.78971875
transcript.pyannote[2104].speaker SPEAKER_06
transcript.pyannote[2104].start 12587.17784375
transcript.pyannote[2104].end 12592.24034375
transcript.pyannote[2105].speaker SPEAKER_17
transcript.pyannote[2105].start 12591.75096875
transcript.pyannote[2105].end 12595.21034375
transcript.pyannote[2106].speaker SPEAKER_17
transcript.pyannote[2106].start 12595.56471875
transcript.pyannote[2106].end 12600.84659375
transcript.pyannote[2107].speaker SPEAKER_15
transcript.pyannote[2107].start 12600.84659375
transcript.pyannote[2107].end 12600.89721875
transcript.pyannote[2108].speaker SPEAKER_15
transcript.pyannote[2108].start 12603.02346875
transcript.pyannote[2108].end 12608.84534375
transcript.pyannote[2109].speaker SPEAKER_15
transcript.pyannote[2109].start 12609.40221875
transcript.pyannote[2109].end 12610.80284375
transcript.pyannote[2110].speaker SPEAKER_15
transcript.pyannote[2110].start 12611.07284375
transcript.pyannote[2110].end 12614.98784375
transcript.pyannote[2111].speaker SPEAKER_15
transcript.pyannote[2111].start 12615.52784375
transcript.pyannote[2111].end 12619.02096875
transcript.pyannote[2112].speaker SPEAKER_15
transcript.pyannote[2112].start 12619.05471875
transcript.pyannote[2112].end 12619.66221875
transcript.pyannote[2113].speaker SPEAKER_15
transcript.pyannote[2113].start 12620.69159375
transcript.pyannote[2113].end 12622.69971875
transcript.pyannote[2114].speaker SPEAKER_15
transcript.pyannote[2114].start 12623.39159375
transcript.pyannote[2114].end 12631.77846875
transcript.pyannote[2115].speaker SPEAKER_15
transcript.pyannote[2115].start 12632.11596875
transcript.pyannote[2115].end 12632.14971875
transcript.pyannote[2116].speaker SPEAKER_17
transcript.pyannote[2116].start 12632.14971875
transcript.pyannote[2116].end 12640.26659375
transcript.pyannote[2117].speaker SPEAKER_15
transcript.pyannote[2117].start 12641.14409375
transcript.pyannote[2117].end 12644.02971875
transcript.pyannote[2118].speaker SPEAKER_17
transcript.pyannote[2118].start 12644.02971875
transcript.pyannote[2118].end 12644.09721875
transcript.pyannote[2119].speaker SPEAKER_15
transcript.pyannote[2119].start 12644.09721875
transcript.pyannote[2119].end 12644.56971875
transcript.pyannote[2120].speaker SPEAKER_17
transcript.pyannote[2120].start 12644.56971875
transcript.pyannote[2120].end 12644.58659375
transcript.pyannote[2121].speaker SPEAKER_15
transcript.pyannote[2121].start 12644.58659375
transcript.pyannote[2121].end 12645.02534375
transcript.pyannote[2122].speaker SPEAKER_17
transcript.pyannote[2122].start 12645.02534375
transcript.pyannote[2122].end 12646.51034375
transcript.pyannote[2123].speaker SPEAKER_15
transcript.pyannote[2123].start 12647.23596875
transcript.pyannote[2123].end 12647.25284375
transcript.pyannote[2124].speaker SPEAKER_17
transcript.pyannote[2124].start 12647.25284375
transcript.pyannote[2124].end 12654.88034375
transcript.pyannote[2125].speaker SPEAKER_17
transcript.pyannote[2125].start 12654.94784375
transcript.pyannote[2125].end 12656.53409375
transcript.pyannote[2126].speaker SPEAKER_06
transcript.pyannote[2126].start 12660.21284375
transcript.pyannote[2126].end 12665.07284375
transcript.pyannote[2127].speaker SPEAKER_15
transcript.pyannote[2127].start 12662.77784375
transcript.pyannote[2127].end 12663.52034375
transcript.pyannote[2128].speaker SPEAKER_15
transcript.pyannote[2128].start 12664.80284375
transcript.pyannote[2128].end 12665.81534375
transcript.pyannote[2129].speaker SPEAKER_06
transcript.pyannote[2129].start 12665.73096875
transcript.pyannote[2129].end 12672.53159375
transcript.pyannote[2130].speaker SPEAKER_06
transcript.pyannote[2130].start 12673.10534375
transcript.pyannote[2130].end 12673.54409375
transcript.pyannote[2131].speaker SPEAKER_06
transcript.pyannote[2131].start 12673.69596875
transcript.pyannote[2131].end 12675.46784375
transcript.pyannote[2132].speaker SPEAKER_06
transcript.pyannote[2132].start 12676.14284375
transcript.pyannote[2132].end 12678.40409375
transcript.pyannote[2133].speaker SPEAKER_18
transcript.pyannote[2133].start 12677.76284375
transcript.pyannote[2133].end 12677.81346875
transcript.pyannote[2134].speaker SPEAKER_17
transcript.pyannote[2134].start 12677.81346875
transcript.pyannote[2134].end 12678.28596875
transcript.pyannote[2135].speaker SPEAKER_06
transcript.pyannote[2135].start 12678.79221875
transcript.pyannote[2135].end 12679.99034375
transcript.pyannote[2136].speaker SPEAKER_06
transcript.pyannote[2136].start 12680.34471875
transcript.pyannote[2136].end 12683.93909375
transcript.pyannote[2137].speaker SPEAKER_06
transcript.pyannote[2137].start 12684.27659375
transcript.pyannote[2137].end 12685.57596875
transcript.pyannote[2138].speaker SPEAKER_17
transcript.pyannote[2138].start 12686.95971875
transcript.pyannote[2138].end 12688.47846875
transcript.pyannote[2139].speaker SPEAKER_06
transcript.pyannote[2139].start 12688.88346875
transcript.pyannote[2139].end 12690.28409375
transcript.pyannote[2140].speaker SPEAKER_06
transcript.pyannote[2140].start 12690.33471875
transcript.pyannote[2140].end 12690.35159375
transcript.pyannote[2141].speaker SPEAKER_17
transcript.pyannote[2141].start 12691.46534375
transcript.pyannote[2141].end 12692.71409375
transcript.pyannote[2142].speaker SPEAKER_06
transcript.pyannote[2142].start 12691.68471875
transcript.pyannote[2142].end 12694.72221875
transcript.pyannote[2143].speaker SPEAKER_06
transcript.pyannote[2143].start 12694.85721875
transcript.pyannote[2143].end 12696.08909375
transcript.pyannote[2144].speaker SPEAKER_15
transcript.pyannote[2144].start 12695.80221875
transcript.pyannote[2144].end 12696.24096875
transcript.pyannote[2145].speaker SPEAKER_06
transcript.pyannote[2145].start 12696.24096875
transcript.pyannote[2145].end 12697.42221875
transcript.pyannote[2146].speaker SPEAKER_06
transcript.pyannote[2146].start 12697.77659375
transcript.pyannote[2146].end 12699.78471875
transcript.pyannote[2147].speaker SPEAKER_06
transcript.pyannote[2147].start 12699.80159375
transcript.pyannote[2147].end 12700.03784375
transcript.pyannote[2148].speaker SPEAKER_15
transcript.pyannote[2148].start 12701.97846875
transcript.pyannote[2148].end 12706.31534375
transcript.pyannote[2149].speaker SPEAKER_06
transcript.pyannote[2149].start 12704.15534375
transcript.pyannote[2149].end 12705.16784375
transcript.pyannote[2150].speaker SPEAKER_15
transcript.pyannote[2150].start 12706.61909375
transcript.pyannote[2150].end 12707.14221875
transcript.pyannote[2151].speaker SPEAKER_06
transcript.pyannote[2151].start 12706.82159375
transcript.pyannote[2151].end 12712.54221875
transcript.pyannote[2152].speaker SPEAKER_15
transcript.pyannote[2152].start 12708.27284375
transcript.pyannote[2152].end 12711.27659375
transcript.pyannote[2153].speaker SPEAKER_15
transcript.pyannote[2153].start 12712.54221875
transcript.pyannote[2153].end 12716.96346875
transcript.pyannote[2154].speaker SPEAKER_06
transcript.pyannote[2154].start 12714.24659375
transcript.pyannote[2154].end 12716.94659375
transcript.pyannote[2155].speaker SPEAKER_15
transcript.pyannote[2155].start 12717.43596875
transcript.pyannote[2155].end 12718.97159375
transcript.pyannote[2156].speaker SPEAKER_06
transcript.pyannote[2156].start 12717.48659375
transcript.pyannote[2156].end 12717.73971875
transcript.pyannote[2157].speaker SPEAKER_17
transcript.pyannote[2157].start 12718.36409375
transcript.pyannote[2157].end 12718.98846875
transcript.pyannote[2158].speaker SPEAKER_15
transcript.pyannote[2158].start 12718.98846875
transcript.pyannote[2158].end 12719.03909375
transcript.pyannote[2159].speaker SPEAKER_17
transcript.pyannote[2159].start 12719.03909375
transcript.pyannote[2159].end 12719.14034375
transcript.pyannote[2160].speaker SPEAKER_15
transcript.pyannote[2160].start 12719.14034375
transcript.pyannote[2160].end 12721.67159375
transcript.pyannote[2161].speaker SPEAKER_17
transcript.pyannote[2161].start 12719.20784375
transcript.pyannote[2161].end 12719.24159375
transcript.pyannote[2162].speaker SPEAKER_17
transcript.pyannote[2162].start 12719.34284375
transcript.pyannote[2162].end 12730.66596875
transcript.pyannote[2163].speaker SPEAKER_15
transcript.pyannote[2163].start 12727.30784375
transcript.pyannote[2163].end 12729.19784375
transcript.pyannote[2164].speaker SPEAKER_17
transcript.pyannote[2164].start 12730.88534375
transcript.pyannote[2164].end 12732.97784375
transcript.pyannote[2165].speaker SPEAKER_17
transcript.pyannote[2165].start 12733.72034375
transcript.pyannote[2165].end 12734.17596875
transcript.pyannote[2166].speaker SPEAKER_17
transcript.pyannote[2166].start 12734.42909375
transcript.pyannote[2166].end 12736.26846875
transcript.pyannote[2167].speaker SPEAKER_17
transcript.pyannote[2167].start 12736.62284375
transcript.pyannote[2167].end 12737.06159375
transcript.pyannote[2168].speaker SPEAKER_17
transcript.pyannote[2168].start 12738.20909375
transcript.pyannote[2168].end 12739.98096875
transcript.pyannote[2169].speaker SPEAKER_17
transcript.pyannote[2169].start 12740.08221875
transcript.pyannote[2169].end 12743.44034375
transcript.pyannote[2170].speaker SPEAKER_17
transcript.pyannote[2170].start 12743.84534375
transcript.pyannote[2170].end 12747.87846875
transcript.pyannote[2171].speaker SPEAKER_17
transcript.pyannote[2171].start 12749.02596875
transcript.pyannote[2171].end 12754.15596875
transcript.pyannote[2172].speaker SPEAKER_18
transcript.pyannote[2172].start 12754.71284375
transcript.pyannote[2172].end 12754.72971875
transcript.pyannote[2173].speaker SPEAKER_17
transcript.pyannote[2173].start 12754.72971875
transcript.pyannote[2173].end 12754.99971875
transcript.pyannote[2174].speaker SPEAKER_17
transcript.pyannote[2174].start 12756.24846875
transcript.pyannote[2174].end 12757.21034375
transcript.pyannote[2175].speaker SPEAKER_17
transcript.pyannote[2175].start 12758.52659375
transcript.pyannote[2175].end 12760.02846875
transcript.pyannote[2176].speaker SPEAKER_15
transcript.pyannote[2176].start 12760.02846875
transcript.pyannote[2176].end 12761.36159375
transcript.pyannote[2177].speaker SPEAKER_15
transcript.pyannote[2177].start 12761.81721875
transcript.pyannote[2177].end 12763.28534375
transcript.pyannote[2178].speaker SPEAKER_15
transcript.pyannote[2178].start 12763.92659375
transcript.pyannote[2178].end 12778.03409375
transcript.pyannote[2179].speaker SPEAKER_15
transcript.pyannote[2179].start 12778.69221875
transcript.pyannote[2179].end 12780.91971875
transcript.pyannote[2180].speaker SPEAKER_15
transcript.pyannote[2180].start 12781.03784375
transcript.pyannote[2180].end 12782.37096875
transcript.pyannote[2181].speaker SPEAKER_15
transcript.pyannote[2181].start 12782.91096875
transcript.pyannote[2181].end 12785.08784375
transcript.pyannote[2182].speaker SPEAKER_15
transcript.pyannote[2182].start 12785.40846875
transcript.pyannote[2182].end 12788.00721875
transcript.pyannote[2183].speaker SPEAKER_15
transcript.pyannote[2183].start 12788.39534375
transcript.pyannote[2183].end 12789.35721875
transcript.pyannote[2184].speaker SPEAKER_15
transcript.pyannote[2184].start 12789.52596875
transcript.pyannote[2184].end 12800.66346875
transcript.pyannote[2185].speaker SPEAKER_06
transcript.pyannote[2185].start 12799.00971875
transcript.pyannote[2185].end 12800.41034375
transcript.pyannote[2186].speaker SPEAKER_06
transcript.pyannote[2186].start 12801.13596875
transcript.pyannote[2186].end 12803.65034375
transcript.pyannote[2187].speaker SPEAKER_06
transcript.pyannote[2187].start 12804.51096875
transcript.pyannote[2187].end 12805.11846875
transcript.pyannote[2188].speaker SPEAKER_15
transcript.pyannote[2188].start 12804.83159375
transcript.pyannote[2188].end 12805.47284375
transcript.pyannote[2189].speaker SPEAKER_17
transcript.pyannote[2189].start 12805.47284375
transcript.pyannote[2189].end 12805.48971875
transcript.pyannote[2190].speaker SPEAKER_06
transcript.pyannote[2190].start 12808.86471875
transcript.pyannote[2190].end 12809.94471875
transcript.pyannote[2191].speaker SPEAKER_17
transcript.pyannote[2191].start 12809.94471875
transcript.pyannote[2191].end 12813.25221875
transcript.pyannote[2192].speaker SPEAKER_06
transcript.pyannote[2192].start 12813.25221875
transcript.pyannote[2192].end 12813.28596875
transcript.pyannote[2193].speaker SPEAKER_17
transcript.pyannote[2193].start 12813.28596875
transcript.pyannote[2193].end 12813.31971875
transcript.pyannote[2194].speaker SPEAKER_06
transcript.pyannote[2194].start 12813.31971875
transcript.pyannote[2194].end 12814.31534375
transcript.pyannote[2195].speaker SPEAKER_17
transcript.pyannote[2195].start 12813.47159375
transcript.pyannote[2195].end 12817.65659375
transcript.pyannote[2196].speaker SPEAKER_17
transcript.pyannote[2196].start 12818.01096875
transcript.pyannote[2196].end 12820.77846875
transcript.pyannote[2197].speaker SPEAKER_17
transcript.pyannote[2197].start 12821.63909375
transcript.pyannote[2197].end 12824.00159375
transcript.pyannote[2198].speaker SPEAKER_17
transcript.pyannote[2198].start 12824.81159375
transcript.pyannote[2198].end 12824.82846875
transcript.pyannote[2199].speaker SPEAKER_15
transcript.pyannote[2199].start 12824.82846875
transcript.pyannote[2199].end 12831.74721875
transcript.pyannote[2200].speaker SPEAKER_17
transcript.pyannote[2200].start 12831.74721875
transcript.pyannote[2200].end 12831.76409375
transcript.pyannote[2201].speaker SPEAKER_15
transcript.pyannote[2201].start 12831.76409375
transcript.pyannote[2201].end 12831.81471875
transcript.pyannote[2202].speaker SPEAKER_17
transcript.pyannote[2202].start 12831.81471875
transcript.pyannote[2202].end 12833.08034375
transcript.pyannote[2203].speaker SPEAKER_15
transcript.pyannote[2203].start 12831.83159375
transcript.pyannote[2203].end 12832.59096875
transcript.pyannote[2204].speaker SPEAKER_15
transcript.pyannote[2204].start 12833.13096875
transcript.pyannote[2204].end 12837.43409375
transcript.pyannote[2205].speaker SPEAKER_15
transcript.pyannote[2205].start 12837.58596875
transcript.pyannote[2205].end 12839.29034375
transcript.pyannote[2206].speaker SPEAKER_15
transcript.pyannote[2206].start 12840.16784375
transcript.pyannote[2206].end 12841.73721875
transcript.pyannote[2207].speaker SPEAKER_15
transcript.pyannote[2207].start 12842.61471875
transcript.pyannote[2207].end 12842.64846875
transcript.pyannote[2208].speaker SPEAKER_17
transcript.pyannote[2208].start 12842.64846875
transcript.pyannote[2208].end 12843.45846875
transcript.pyannote[2209].speaker SPEAKER_15
transcript.pyannote[2209].start 12842.78346875
transcript.pyannote[2209].end 12843.18846875
transcript.pyannote[2210].speaker SPEAKER_15
transcript.pyannote[2210].start 12844.21784375
transcript.pyannote[2210].end 12844.23471875
transcript.pyannote[2211].speaker SPEAKER_17
transcript.pyannote[2211].start 12844.23471875
transcript.pyannote[2211].end 12845.58471875
transcript.pyannote[2212].speaker SPEAKER_17
transcript.pyannote[2212].start 12846.52971875
transcript.pyannote[2212].end 12847.50846875
transcript.pyannote[2213].speaker SPEAKER_22
transcript.pyannote[2213].start 12853.31346875
transcript.pyannote[2213].end 12881.03909375
transcript.pyannote[2214].speaker SPEAKER_22
transcript.pyannote[2214].start 12881.66346875
transcript.pyannote[2214].end 12932.87909375
transcript.pyannote[2215].speaker SPEAKER_18
transcript.pyannote[2215].start 12927.90096875
transcript.pyannote[2215].end 12927.93471875
transcript.pyannote[2216].speaker SPEAKER_22
transcript.pyannote[2216].start 12933.50346875
transcript.pyannote[2216].end 12940.74284375
transcript.pyannote[2217].speaker SPEAKER_22
transcript.pyannote[2217].start 12940.96221875
transcript.pyannote[2217].end 12952.57221875
transcript.pyannote[2218].speaker SPEAKER_25
transcript.pyannote[2218].start 12951.08721875
transcript.pyannote[2218].end 12953.12909375
transcript.pyannote[2219].speaker SPEAKER_25
transcript.pyannote[2219].start 12953.38221875
transcript.pyannote[2219].end 12955.76159375
transcript.pyannote[2220].speaker SPEAKER_22
transcript.pyannote[2220].start 12956.23409375
transcript.pyannote[2220].end 12956.57159375
transcript.pyannote[2221].speaker SPEAKER_22
transcript.pyannote[2221].start 12957.28034375
transcript.pyannote[2221].end 12958.71471875
transcript.pyannote[2222].speaker SPEAKER_22
transcript.pyannote[2222].start 12958.96784375
transcript.pyannote[2222].end 12964.14846875
transcript.pyannote[2223].speaker SPEAKER_25
transcript.pyannote[2223].start 12963.47346875
transcript.pyannote[2223].end 12964.90784375
transcript.pyannote[2224].speaker SPEAKER_22
transcript.pyannote[2224].start 12964.97534375
transcript.pyannote[2224].end 12968.90721875
transcript.pyannote[2225].speaker SPEAKER_25
transcript.pyannote[2225].start 12967.10159375
transcript.pyannote[2225].end 12967.69221875
transcript.pyannote[2226].speaker SPEAKER_22
transcript.pyannote[2226].start 12969.36284375
transcript.pyannote[2226].end 12971.06721875
transcript.pyannote[2227].speaker SPEAKER_17
transcript.pyannote[2227].start 12971.10096875
transcript.pyannote[2227].end 12973.56471875
transcript.pyannote[2228].speaker SPEAKER_17
transcript.pyannote[2228].start 12974.77971875
transcript.pyannote[2228].end 12976.55159375
transcript.pyannote[2229].speaker SPEAKER_22
transcript.pyannote[2229].start 12977.19284375
transcript.pyannote[2229].end 12980.06159375
transcript.pyannote[2230].speaker SPEAKER_22
transcript.pyannote[2230].start 12980.43284375
transcript.pyannote[2230].end 12981.68159375
transcript.pyannote[2231].speaker SPEAKER_17
transcript.pyannote[2231].start 12981.22596875
transcript.pyannote[2231].end 12985.09034375
transcript.pyannote[2232].speaker SPEAKER_22
transcript.pyannote[2232].start 12985.95096875
transcript.pyannote[2232].end 12990.47346875
transcript.pyannote[2233].speaker SPEAKER_17
transcript.pyannote[2233].start 12990.22034375
transcript.pyannote[2233].end 12991.92471875
transcript.pyannote[2234].speaker SPEAKER_22
transcript.pyannote[2234].start 12992.51534375
transcript.pyannote[2234].end 13000.83471875
transcript.pyannote[2235].speaker SPEAKER_25
transcript.pyannote[2235].start 12999.28221875
transcript.pyannote[2235].end 13001.40846875
transcript.pyannote[2236].speaker SPEAKER_22
transcript.pyannote[2236].start 13001.25659375
transcript.pyannote[2236].end 13002.08346875
transcript.pyannote[2237].speaker SPEAKER_25
transcript.pyannote[2237].start 13001.57721875
transcript.pyannote[2237].end 13005.91409375
transcript.pyannote[2238].speaker SPEAKER_22
transcript.pyannote[2238].start 13002.96096875
transcript.pyannote[2238].end 13003.04534375
transcript.pyannote[2239].speaker SPEAKER_25
transcript.pyannote[2239].start 13006.11659375
transcript.pyannote[2239].end 13013.33909375
transcript.pyannote[2240].speaker SPEAKER_22
transcript.pyannote[2240].start 13013.89596875
transcript.pyannote[2240].end 13017.28784375
transcript.pyannote[2241].speaker SPEAKER_22
transcript.pyannote[2241].start 13017.70971875
transcript.pyannote[2241].end 13020.84846875
transcript.pyannote[2242].speaker SPEAKER_06
transcript.pyannote[2242].start 13022.53596875
transcript.pyannote[2242].end 13026.80534375
transcript.pyannote[2243].speaker SPEAKER_17
transcript.pyannote[2243].start 13034.11221875
transcript.pyannote[2243].end 13035.10784375
transcript.pyannote[2244].speaker SPEAKER_15
transcript.pyannote[2244].start 13035.14159375
transcript.pyannote[2244].end 13035.15846875
transcript.pyannote[2245].speaker SPEAKER_15
transcript.pyannote[2245].start 13035.19221875
transcript.pyannote[2245].end 13036.94721875
transcript.pyannote[2246].speaker SPEAKER_15
transcript.pyannote[2246].start 13037.11596875
transcript.pyannote[2246].end 13037.74034375
transcript.pyannote[2247].speaker SPEAKER_15
transcript.pyannote[2247].start 13038.56721875
transcript.pyannote[2247].end 13047.13971875
transcript.pyannote[2248].speaker SPEAKER_15
transcript.pyannote[2248].start 13047.56159375
transcript.pyannote[2248].end 13048.64159375
transcript.pyannote[2249].speaker SPEAKER_15
transcript.pyannote[2249].start 13049.75534375
transcript.pyannote[2249].end 13051.40909375
transcript.pyannote[2250].speaker SPEAKER_15
transcript.pyannote[2250].start 13051.86471875
transcript.pyannote[2250].end 13054.22721875
transcript.pyannote[2251].speaker SPEAKER_15
transcript.pyannote[2251].start 13054.88534375
transcript.pyannote[2251].end 13057.04534375
transcript.pyannote[2252].speaker SPEAKER_15
transcript.pyannote[2252].start 13057.73721875
transcript.pyannote[2252].end 13058.20971875
transcript.pyannote[2253].speaker SPEAKER_15
transcript.pyannote[2253].start 13058.86784375
transcript.pyannote[2253].end 13063.47471875
transcript.pyannote[2254].speaker SPEAKER_15
transcript.pyannote[2254].start 13063.72784375
transcript.pyannote[2254].end 13077.32909375
transcript.pyannote[2255].speaker SPEAKER_17
transcript.pyannote[2255].start 13076.43471875
transcript.pyannote[2255].end 13080.40034375
transcript.pyannote[2256].speaker SPEAKER_17
transcript.pyannote[2256].start 13081.07534375
transcript.pyannote[2256].end 13083.89346875
transcript.pyannote[2257].speaker SPEAKER_17
transcript.pyannote[2257].start 13084.58534375
transcript.pyannote[2257].end 13093.03971875
transcript.pyannote[2258].speaker SPEAKER_15
transcript.pyannote[2258].start 13087.53846875
transcript.pyannote[2258].end 13088.11221875
transcript.pyannote[2259].speaker SPEAKER_17
transcript.pyannote[2259].start 13093.52909375
transcript.pyannote[2259].end 13096.29659375
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 13097.57909375
transcript.pyannote[2260].end 13097.93346875
transcript.pyannote[2261].speaker SPEAKER_17
transcript.pyannote[2261].start 13098.32159375
transcript.pyannote[2261].end 13098.84471875
transcript.pyannote[2262].speaker SPEAKER_17
transcript.pyannote[2262].start 13098.99659375
transcript.pyannote[2262].end 13101.19034375
transcript.pyannote[2263].speaker SPEAKER_17
transcript.pyannote[2263].start 13101.64596875
transcript.pyannote[2263].end 13103.24909375
transcript.pyannote[2264].speaker SPEAKER_15
transcript.pyannote[2264].start 13104.54846875
transcript.pyannote[2264].end 13105.76346875
transcript.pyannote[2265].speaker SPEAKER_15
transcript.pyannote[2265].start 13106.13471875
transcript.pyannote[2265].end 13109.64471875
transcript.pyannote[2266].speaker SPEAKER_17
transcript.pyannote[2266].start 13110.50534375
transcript.pyannote[2266].end 13116.02346875
transcript.pyannote[2267].speaker SPEAKER_22
transcript.pyannote[2267].start 13115.95596875
transcript.pyannote[2267].end 13125.22034375
transcript.pyannote[2268].speaker SPEAKER_22
transcript.pyannote[2268].start 13125.40596875
transcript.pyannote[2268].end 13129.45596875
transcript.pyannote[2269].speaker SPEAKER_17
transcript.pyannote[2269].start 13128.84846875
transcript.pyannote[2269].end 13130.18159375
transcript.pyannote[2270].speaker SPEAKER_22
transcript.pyannote[2270].start 13130.41784375
transcript.pyannote[2270].end 13146.01034375
transcript.pyannote[2271].speaker SPEAKER_22
transcript.pyannote[2271].start 13146.63471875
transcript.pyannote[2271].end 13150.09409375
transcript.pyannote[2272].speaker SPEAKER_22
transcript.pyannote[2272].start 13150.46534375
transcript.pyannote[2272].end 13152.35534375
transcript.pyannote[2273].speaker SPEAKER_17
transcript.pyannote[2273].start 13151.95034375
transcript.pyannote[2273].end 13156.21971875
transcript.pyannote[2274].speaker SPEAKER_17
transcript.pyannote[2274].start 13156.82721875
transcript.pyannote[2274].end 13158.26159375
transcript.pyannote[2275].speaker SPEAKER_17
transcript.pyannote[2275].start 13158.46409375
transcript.pyannote[2275].end 13161.78846875
transcript.pyannote[2276].speaker SPEAKER_17
transcript.pyannote[2276].start 13163.10471875
transcript.pyannote[2276].end 13164.48846875
transcript.pyannote[2277].speaker SPEAKER_22
transcript.pyannote[2277].start 13166.63159375
transcript.pyannote[2277].end 13169.01096875
transcript.pyannote[2278].speaker SPEAKER_22
transcript.pyannote[2278].start 13169.34846875
transcript.pyannote[2278].end 13172.60534375
transcript.pyannote[2279].speaker SPEAKER_22
transcript.pyannote[2279].start 13172.85846875
transcript.pyannote[2279].end 13177.02659375
transcript.pyannote[2280].speaker SPEAKER_22
transcript.pyannote[2280].start 13179.33846875
transcript.pyannote[2280].end 13179.70971875
transcript.pyannote[2281].speaker SPEAKER_18
transcript.pyannote[2281].start 13182.12284375
transcript.pyannote[2281].end 13182.13971875
transcript.pyannote[2282].speaker SPEAKER_17
transcript.pyannote[2282].start 13183.11846875
transcript.pyannote[2282].end 13184.60346875
transcript.pyannote[2283].speaker SPEAKER_17
transcript.pyannote[2283].start 13185.14346875
transcript.pyannote[2283].end 13185.19409375
transcript.pyannote[2284].speaker SPEAKER_17
transcript.pyannote[2284].start 13187.80971875
transcript.pyannote[2284].end 13189.42971875
transcript.pyannote[2285].speaker SPEAKER_17
transcript.pyannote[2285].start 13190.77971875
transcript.pyannote[2285].end 13197.93471875
transcript.pyannote[2286].speaker SPEAKER_17
transcript.pyannote[2286].start 13198.15409375
transcript.pyannote[2286].end 13201.36034375
transcript.pyannote[2287].speaker SPEAKER_00
transcript.pyannote[2287].start 13199.11596875
transcript.pyannote[2287].end 13200.21284375
transcript.pyannote[2288].speaker SPEAKER_17
transcript.pyannote[2288].start 13201.61346875
transcript.pyannote[2288].end 13201.91721875
transcript.pyannote[2289].speaker SPEAKER_17
transcript.pyannote[2289].start 13203.43596875
transcript.pyannote[2289].end 13205.32596875
transcript.pyannote[2290].speaker SPEAKER_15
transcript.pyannote[2290].start 13205.32596875
transcript.pyannote[2290].end 13205.57909375
transcript.pyannote[2291].speaker SPEAKER_17
transcript.pyannote[2291].start 13206.23721875
transcript.pyannote[2291].end 13209.17346875
transcript.pyannote[2292].speaker SPEAKER_15
transcript.pyannote[2292].start 13209.37596875
transcript.pyannote[2292].end 13209.64596875
transcript.pyannote[2293].speaker SPEAKER_02
transcript.pyannote[2293].start 13209.64596875
transcript.pyannote[2293].end 13209.66284375
transcript.pyannote[2294].speaker SPEAKER_17
transcript.pyannote[2294].start 13213.07159375
transcript.pyannote[2294].end 13213.76346875
transcript.pyannote[2295].speaker SPEAKER_17
transcript.pyannote[2295].start 13215.26534375
transcript.pyannote[2295].end 13221.03659375
transcript.pyannote[2296].speaker SPEAKER_17
transcript.pyannote[2296].start 13222.53846875
transcript.pyannote[2296].end 13228.22534375
transcript.pyannote[2297].speaker SPEAKER_17
transcript.pyannote[2297].start 13229.44034375
transcript.pyannote[2297].end 13236.40971875
transcript.pyannote[2298].speaker SPEAKER_17
transcript.pyannote[2298].start 13237.20284375
transcript.pyannote[2298].end 13243.36221875
transcript.pyannote[2299].speaker SPEAKER_17
transcript.pyannote[2299].start 13243.37909375
transcript.pyannote[2299].end 13243.39596875
transcript.pyannote[2300].speaker SPEAKER_17
transcript.pyannote[2300].start 13243.41284375
transcript.pyannote[2300].end 13248.08721875
transcript.pyannote[2301].speaker SPEAKER_17
transcript.pyannote[2301].start 13248.72846875
transcript.pyannote[2301].end 13249.43721875
transcript.pyannote[2302].speaker SPEAKER_17
transcript.pyannote[2302].start 13249.74096875
transcript.pyannote[2302].end 13251.44534375
transcript.pyannote[2303].speaker SPEAKER_17
transcript.pyannote[2303].start 13252.10346875
transcript.pyannote[2303].end 13253.21721875
transcript.pyannote[2304].speaker SPEAKER_17
transcript.pyannote[2304].start 13258.95471875
transcript.pyannote[2304].end 13259.62971875
transcript.pyannote[2305].speaker SPEAKER_17
transcript.pyannote[2305].start 13262.17784375
transcript.pyannote[2305].end 13262.97096875
transcript.pyannote[2306].speaker SPEAKER_15
transcript.pyannote[2306].start 13264.86096875
transcript.pyannote[2306].end 13267.39221875
transcript.pyannote[2307].speaker SPEAKER_15
transcript.pyannote[2307].start 13267.56096875
transcript.pyannote[2307].end 13273.02846875
transcript.pyannote[2308].speaker SPEAKER_17
transcript.pyannote[2308].start 13273.02846875
transcript.pyannote[2308].end 13273.09596875
transcript.pyannote[2309].speaker SPEAKER_15
transcript.pyannote[2309].start 13273.09596875
transcript.pyannote[2309].end 13273.77096875
transcript.pyannote[2310].speaker SPEAKER_17
transcript.pyannote[2310].start 13273.77096875
transcript.pyannote[2310].end 13273.95659375
transcript.pyannote[2311].speaker SPEAKER_15
transcript.pyannote[2311].start 13273.95659375
transcript.pyannote[2311].end 13275.35721875
transcript.pyannote[2312].speaker SPEAKER_17
transcript.pyannote[2312].start 13274.56409375
transcript.pyannote[2312].end 13275.10409375
transcript.pyannote[2313].speaker SPEAKER_15
transcript.pyannote[2313].start 13276.80846875
transcript.pyannote[2313].end 13278.76596875
transcript.pyannote[2314].speaker SPEAKER_15
transcript.pyannote[2314].start 13279.25534375
transcript.pyannote[2314].end 13282.86659375
transcript.pyannote[2315].speaker SPEAKER_15
transcript.pyannote[2315].start 13283.27159375
transcript.pyannote[2315].end 13285.24596875
transcript.pyannote[2316].speaker SPEAKER_15
transcript.pyannote[2316].start 13285.41471875
transcript.pyannote[2316].end 13286.93346875
transcript.pyannote[2317].speaker SPEAKER_15
transcript.pyannote[2317].start 13286.95034375
transcript.pyannote[2317].end 13286.96721875
transcript.pyannote[2318].speaker SPEAKER_18
transcript.pyannote[2318].start 13287.05159375
transcript.pyannote[2318].end 13287.27096875
transcript.pyannote[2319].speaker SPEAKER_15
transcript.pyannote[2319].start 13287.60846875
transcript.pyannote[2319].end 13291.28721875
transcript.pyannote[2320].speaker SPEAKER_06
transcript.pyannote[2320].start 13290.10596875
transcript.pyannote[2320].end 13297.80096875
transcript.pyannote[2321].speaker SPEAKER_15
transcript.pyannote[2321].start 13294.62846875
transcript.pyannote[2321].end 13294.89846875
transcript.pyannote[2322].speaker SPEAKER_15
transcript.pyannote[2322].start 13295.82659375
transcript.pyannote[2322].end 13297.80096875
transcript.pyannote[2323].speaker SPEAKER_17
transcript.pyannote[2323].start 13297.80096875
transcript.pyannote[2323].end 13301.15909375
transcript.pyannote[2324].speaker SPEAKER_15
transcript.pyannote[2324].start 13301.15909375
transcript.pyannote[2324].end 13305.59721875
transcript.pyannote[2325].speaker SPEAKER_17
transcript.pyannote[2325].start 13310.64284375
transcript.pyannote[2325].end 13312.63409375
transcript.pyannote[2326].speaker SPEAKER_17
transcript.pyannote[2326].start 13312.88721875
transcript.pyannote[2326].end 13314.67596875
transcript.pyannote[2327].speaker SPEAKER_15
transcript.pyannote[2327].start 13318.18596875
transcript.pyannote[2327].end 13319.24909375
transcript.pyannote[2328].speaker SPEAKER_05
transcript.pyannote[2328].start 13319.89034375
transcript.pyannote[2328].end 13325.22284375
transcript.pyannote[2329].speaker SPEAKER_15
transcript.pyannote[2329].start 13324.59846875
transcript.pyannote[2329].end 13324.90221875
transcript.pyannote[2330].speaker SPEAKER_24
transcript.pyannote[2330].start 13324.90221875
transcript.pyannote[2330].end 13325.03721875
transcript.pyannote[2331].speaker SPEAKER_02
transcript.pyannote[2331].start 13325.03721875
transcript.pyannote[2331].end 13325.12159375
transcript.pyannote[2332].speaker SPEAKER_24
transcript.pyannote[2332].start 13325.12159375
transcript.pyannote[2332].end 13325.13846875
transcript.pyannote[2333].speaker SPEAKER_24
transcript.pyannote[2333].start 13325.22284375
transcript.pyannote[2333].end 13326.80909375
transcript.pyannote[2334].speaker SPEAKER_05
transcript.pyannote[2334].start 13327.29846875
transcript.pyannote[2334].end 13327.31534375
transcript.pyannote[2335].speaker SPEAKER_02
transcript.pyannote[2335].start 13327.31534375
transcript.pyannote[2335].end 13327.95659375
transcript.pyannote[2336].speaker SPEAKER_02
transcript.pyannote[2336].start 13329.07034375
transcript.pyannote[2336].end 13332.02346875
transcript.pyannote[2337].speaker SPEAKER_02
transcript.pyannote[2337].start 13332.14159375
transcript.pyannote[2337].end 13332.17534375
transcript.pyannote[2338].speaker SPEAKER_15
transcript.pyannote[2338].start 13332.17534375
transcript.pyannote[2338].end 13332.41159375
transcript.pyannote[2339].speaker SPEAKER_02
transcript.pyannote[2339].start 13332.41159375
transcript.pyannote[2339].end 13332.83346875
transcript.pyannote[2340].speaker SPEAKER_02
transcript.pyannote[2340].start 13333.44096875
transcript.pyannote[2340].end 13333.49159375
transcript.pyannote[2341].speaker SPEAKER_15
transcript.pyannote[2341].start 13333.49159375
transcript.pyannote[2341].end 13334.79096875
transcript.pyannote[2342].speaker SPEAKER_15
transcript.pyannote[2342].start 13335.24659375
transcript.pyannote[2342].end 13335.26346875
transcript.pyannote[2343].speaker SPEAKER_02
transcript.pyannote[2343].start 13335.26346875
transcript.pyannote[2343].end 13335.97221875
transcript.pyannote[2344].speaker SPEAKER_15
transcript.pyannote[2344].start 13335.97221875
transcript.pyannote[2344].end 13336.02284375
transcript.pyannote[2345].speaker SPEAKER_02
transcript.pyannote[2345].start 13336.02284375
transcript.pyannote[2345].end 13336.14096875
transcript.pyannote[2346].speaker SPEAKER_15
transcript.pyannote[2346].start 13336.14096875
transcript.pyannote[2346].end 13336.36034375
transcript.pyannote[2347].speaker SPEAKER_15
transcript.pyannote[2347].start 13337.30534375
transcript.pyannote[2347].end 13339.31346875
transcript.pyannote[2348].speaker SPEAKER_02
transcript.pyannote[2348].start 13337.87909375
transcript.pyannote[2348].end 13340.22471875
transcript.pyannote[2349].speaker SPEAKER_15
transcript.pyannote[2349].start 13340.44409375
transcript.pyannote[2349].end 13340.73096875
transcript.pyannote[2350].speaker SPEAKER_15
transcript.pyannote[2350].start 13341.42284375
transcript.pyannote[2350].end 13344.00471875
transcript.pyannote[2351].speaker SPEAKER_02
transcript.pyannote[2351].start 13343.65034375
transcript.pyannote[2351].end 13343.97096875
transcript.pyannote[2352].speaker SPEAKER_02
transcript.pyannote[2352].start 13344.00471875
transcript.pyannote[2352].end 13344.05534375
transcript.pyannote[2353].speaker SPEAKER_02
transcript.pyannote[2353].start 13344.34221875
transcript.pyannote[2353].end 13344.35909375
transcript.pyannote[2354].speaker SPEAKER_15
transcript.pyannote[2354].start 13344.57846875
transcript.pyannote[2354].end 13346.01284375
transcript.pyannote[2355].speaker SPEAKER_15
transcript.pyannote[2355].start 13347.37971875
transcript.pyannote[2355].end 13348.18971875
transcript.pyannote[2356].speaker SPEAKER_17
transcript.pyannote[2356].start 13348.18971875
transcript.pyannote[2356].end 13348.20659375
transcript.pyannote[2357].speaker SPEAKER_15
transcript.pyannote[2357].start 13348.74659375
transcript.pyannote[2357].end 13348.76346875
transcript.pyannote[2358].speaker SPEAKER_17
transcript.pyannote[2358].start 13348.76346875
transcript.pyannote[2358].end 13349.03346875
transcript.pyannote[2359].speaker SPEAKER_17
transcript.pyannote[2359].start 13350.60284375
transcript.pyannote[2359].end 13354.66971875
transcript.pyannote[2360].speaker SPEAKER_17
transcript.pyannote[2360].start 13354.70346875
transcript.pyannote[2360].end 13355.41221875
transcript.pyannote[2361].speaker SPEAKER_17
transcript.pyannote[2361].start 13355.90159375
transcript.pyannote[2361].end 13357.16721875
transcript.pyannote[2362].speaker SPEAKER_15
transcript.pyannote[2362].start 13357.16721875
transcript.pyannote[2362].end 13357.18409375
transcript.pyannote[2363].speaker SPEAKER_06
transcript.pyannote[2363].start 13357.18409375
transcript.pyannote[2363].end 13357.21784375
transcript.pyannote[2364].speaker SPEAKER_06
transcript.pyannote[2364].start 13357.38659375
transcript.pyannote[2364].end 13360.01909375
transcript.pyannote[2365].speaker SPEAKER_17
transcript.pyannote[2365].start 13357.50471875
transcript.pyannote[2365].end 13357.53846875
transcript.pyannote[2366].speaker SPEAKER_15
transcript.pyannote[2366].start 13357.53846875
transcript.pyannote[2366].end 13358.80409375
transcript.pyannote[2367].speaker SPEAKER_15
transcript.pyannote[2367].start 13359.76596875
transcript.pyannote[2367].end 13359.96846875
transcript.pyannote[2368].speaker SPEAKER_15
transcript.pyannote[2368].start 13360.01909375
transcript.pyannote[2368].end 13360.03596875
transcript.pyannote[2369].speaker SPEAKER_15
transcript.pyannote[2369].start 13361.23409375
transcript.pyannote[2369].end 13363.51221875
transcript.pyannote[2370].speaker SPEAKER_06
transcript.pyannote[2370].start 13363.02284375
transcript.pyannote[2370].end 13365.70596875
transcript.pyannote[2371].speaker SPEAKER_06
transcript.pyannote[2371].start 13365.94221875
transcript.pyannote[2371].end 13367.64659375
transcript.pyannote[2372].speaker SPEAKER_15
transcript.pyannote[2372].start 13366.85346875
transcript.pyannote[2372].end 13367.02221875
transcript.pyannote[2373].speaker SPEAKER_06
transcript.pyannote[2373].start 13368.00096875
transcript.pyannote[2373].end 13369.04721875
transcript.pyannote[2374].speaker SPEAKER_15
transcript.pyannote[2374].start 13369.04721875
transcript.pyannote[2374].end 13369.28346875
transcript.pyannote[2375].speaker SPEAKER_03
transcript.pyannote[2375].start 13369.28346875
transcript.pyannote[2375].end 13369.40159375
transcript.pyannote[2376].speaker SPEAKER_15
transcript.pyannote[2376].start 13369.40159375
transcript.pyannote[2376].end 13369.41846875
transcript.pyannote[2377].speaker SPEAKER_15
transcript.pyannote[2377].start 13371.27471875
transcript.pyannote[2377].end 13371.86534375
transcript.pyannote[2378].speaker SPEAKER_15
transcript.pyannote[2378].start 13371.96659375
transcript.pyannote[2378].end 13372.10159375
transcript.pyannote[2379].speaker SPEAKER_17
transcript.pyannote[2379].start 13372.99596875
transcript.pyannote[2379].end 13374.24471875
transcript.pyannote[2380].speaker SPEAKER_15
transcript.pyannote[2380].start 13375.61159375
transcript.pyannote[2380].end 13379.79659375
transcript.pyannote[2381].speaker SPEAKER_17
transcript.pyannote[2381].start 13377.92346875
transcript.pyannote[2381].end 13378.17659375
transcript.pyannote[2382].speaker SPEAKER_15
transcript.pyannote[2382].start 13380.16784375
transcript.pyannote[2382].end 13383.01971875
transcript.pyannote[2383].speaker SPEAKER_17
transcript.pyannote[2383].start 13383.82971875
transcript.pyannote[2383].end 13384.47096875
transcript.pyannote[2384].speaker SPEAKER_17
transcript.pyannote[2384].start 13384.57221875
transcript.pyannote[2384].end 13384.87596875
transcript.pyannote[2385].speaker SPEAKER_17
transcript.pyannote[2385].start 13385.56784375
transcript.pyannote[2385].end 13388.14971875
transcript.pyannote[2386].speaker SPEAKER_17
transcript.pyannote[2386].start 13389.12846875
transcript.pyannote[2386].end 13389.88784375
transcript.pyannote[2387].speaker SPEAKER_17
transcript.pyannote[2387].start 13389.90471875
transcript.pyannote[2387].end 13389.92159375
transcript.pyannote[2388].speaker SPEAKER_15
transcript.pyannote[2388].start 13389.92159375
transcript.pyannote[2388].end 13396.30034375
transcript.pyannote[2389].speaker SPEAKER_17
transcript.pyannote[2389].start 13395.89534375
transcript.pyannote[2389].end 13403.03346875
transcript.pyannote[2390].speaker SPEAKER_17
transcript.pyannote[2390].start 13403.79284375
transcript.pyannote[2390].end 13404.67034375
transcript.pyannote[2391].speaker SPEAKER_17
transcript.pyannote[2391].start 13405.09221875
transcript.pyannote[2391].end 13415.48721875
transcript.pyannote[2392].speaker SPEAKER_17
transcript.pyannote[2392].start 13415.77409375
transcript.pyannote[2392].end 13418.47409375
transcript.pyannote[2393].speaker SPEAKER_17
transcript.pyannote[2393].start 13421.46096875
transcript.pyannote[2393].end 13424.24534375
transcript.pyannote[2394].speaker SPEAKER_15
transcript.pyannote[2394].start 13424.24534375
transcript.pyannote[2394].end 13424.29596875
transcript.pyannote[2395].speaker SPEAKER_17
transcript.pyannote[2395].start 13425.30846875
transcript.pyannote[2395].end 13425.32534375
transcript.pyannote[2396].speaker SPEAKER_15
transcript.pyannote[2396].start 13425.32534375
transcript.pyannote[2396].end 13426.69221875
transcript.pyannote[2397].speaker SPEAKER_15
transcript.pyannote[2397].start 13427.85659375
transcript.pyannote[2397].end 13435.02846875
transcript.pyannote[2398].speaker SPEAKER_17
transcript.pyannote[2398].start 13435.02846875
transcript.pyannote[2398].end 13439.41596875
transcript.pyannote[2399].speaker SPEAKER_06
transcript.pyannote[2399].start 13440.47909375
transcript.pyannote[2399].end 13445.98034375
transcript.pyannote[2400].speaker SPEAKER_17
transcript.pyannote[2400].start 13444.15784375
transcript.pyannote[2400].end 13447.66784375
transcript.pyannote[2401].speaker SPEAKER_06
transcript.pyannote[2401].start 13446.80721875
transcript.pyannote[2401].end 13455.09284375
transcript.pyannote[2402].speaker SPEAKER_15
transcript.pyannote[2402].start 13454.58659375
transcript.pyannote[2402].end 13455.02534375
transcript.pyannote[2403].speaker SPEAKER_15
transcript.pyannote[2403].start 13455.09284375
transcript.pyannote[2403].end 13456.03784375
transcript.pyannote[2404].speaker SPEAKER_15
transcript.pyannote[2404].start 13456.69596875
transcript.pyannote[2404].end 13460.03721875
transcript.pyannote[2405].speaker SPEAKER_06
transcript.pyannote[2405].start 13457.55659375
transcript.pyannote[2405].end 13457.97846875
transcript.pyannote[2406].speaker SPEAKER_15
transcript.pyannote[2406].start 13460.05409375
transcript.pyannote[2406].end 13460.08784375
transcript.pyannote[2407].speaker SPEAKER_15
transcript.pyannote[2407].start 13460.13846875
transcript.pyannote[2407].end 13461.42096875
transcript.pyannote[2408].speaker SPEAKER_17
transcript.pyannote[2408].start 13466.36534375
transcript.pyannote[2408].end 13471.36034375
transcript.pyannote[2409].speaker SPEAKER_06
transcript.pyannote[2409].start 13470.14534375
transcript.pyannote[2409].end 13474.70159375
transcript.pyannote[2410].speaker SPEAKER_17
transcript.pyannote[2410].start 13475.03909375
transcript.pyannote[2410].end 13475.69721875
transcript.pyannote[2411].speaker SPEAKER_06
transcript.pyannote[2411].start 13476.06846875
transcript.pyannote[2411].end 13494.02346875
transcript.pyannote[2412].speaker SPEAKER_15
transcript.pyannote[2412].start 13496.79096875
transcript.pyannote[2412].end 13498.03971875
transcript.pyannote[2413].speaker SPEAKER_06
transcript.pyannote[2413].start 13498.29284375
transcript.pyannote[2413].end 13498.30971875
transcript.pyannote[2414].speaker SPEAKER_17
transcript.pyannote[2414].start 13498.30971875
transcript.pyannote[2414].end 13498.49534375
transcript.pyannote[2415].speaker SPEAKER_15
transcript.pyannote[2415].start 13498.49534375
transcript.pyannote[2415].end 13498.52909375
transcript.pyannote[2416].speaker SPEAKER_17
transcript.pyannote[2416].start 13502.51159375
transcript.pyannote[2416].end 13503.33846875
transcript.pyannote[2417].speaker SPEAKER_17
transcript.pyannote[2417].start 13503.81096875
transcript.pyannote[2417].end 13508.06346875
transcript.pyannote[2418].speaker SPEAKER_15
transcript.pyannote[2418].start 13510.52721875
transcript.pyannote[2418].end 13516.73721875
transcript.pyannote[2419].speaker SPEAKER_06
transcript.pyannote[2419].start 13515.26909375
transcript.pyannote[2419].end 13518.25596875
transcript.pyannote[2420].speaker SPEAKER_15
transcript.pyannote[2420].start 13517.56409375
transcript.pyannote[2420].end 13521.19221875
transcript.pyannote[2421].speaker SPEAKER_15
transcript.pyannote[2421].start 13521.46221875
transcript.pyannote[2421].end 13521.49596875
transcript.pyannote[2422].speaker SPEAKER_15
transcript.pyannote[2422].start 13522.06971875
transcript.pyannote[2422].end 13529.30909375
transcript.pyannote[2423].speaker SPEAKER_06
transcript.pyannote[2423].start 13528.14471875
transcript.pyannote[2423].end 13529.27534375
transcript.pyannote[2424].speaker SPEAKER_06
transcript.pyannote[2424].start 13529.30909375
transcript.pyannote[2424].end 13530.22034375
transcript.pyannote[2425].speaker SPEAKER_17
transcript.pyannote[2425].start 13534.37159375
transcript.pyannote[2425].end 13536.26159375
transcript.pyannote[2426].speaker SPEAKER_17
transcript.pyannote[2426].start 13537.79721875
transcript.pyannote[2426].end 13538.45534375
transcript.pyannote[2427].speaker SPEAKER_17
transcript.pyannote[2427].start 13538.62409375
transcript.pyannote[2427].end 13538.86034375
transcript.pyannote[2428].speaker SPEAKER_17
transcript.pyannote[2428].start 13543.23096875
transcript.pyannote[2428].end 13544.24346875
transcript.pyannote[2429].speaker SPEAKER_17
transcript.pyannote[2429].start 13544.71596875
transcript.pyannote[2429].end 13546.15034375
transcript.pyannote[2430].speaker SPEAKER_17
transcript.pyannote[2430].start 13548.81659375
transcript.pyannote[2430].end 13548.96846875
transcript.pyannote[2431].speaker SPEAKER_15
transcript.pyannote[2431].start 13548.96846875
transcript.pyannote[2431].end 13548.98534375
transcript.pyannote[2432].speaker SPEAKER_17
transcript.pyannote[2432].start 13548.98534375
transcript.pyannote[2432].end 13549.96409375
transcript.pyannote[2433].speaker SPEAKER_15
transcript.pyannote[2433].start 13549.96409375
transcript.pyannote[2433].end 13552.03971875
transcript.pyannote[2434].speaker SPEAKER_15
transcript.pyannote[2434].start 13552.29284375
transcript.pyannote[2434].end 13552.84971875
transcript.pyannote[2435].speaker SPEAKER_15
transcript.pyannote[2435].start 13555.46534375
transcript.pyannote[2435].end 13557.42284375
transcript.pyannote[2436].speaker SPEAKER_15
transcript.pyannote[2436].start 13560.00471875
transcript.pyannote[2436].end 13560.51096875
transcript.pyannote[2437].speaker SPEAKER_15
transcript.pyannote[2437].start 13560.83159375
transcript.pyannote[2437].end 13561.60784375
transcript.pyannote[2438].speaker SPEAKER_15
transcript.pyannote[2438].start 13562.24909375
transcript.pyannote[2438].end 13562.26596875
transcript.pyannote[2439].speaker SPEAKER_17
transcript.pyannote[2439].start 13562.26596875
transcript.pyannote[2439].end 13565.25284375
transcript.pyannote[2440].speaker SPEAKER_15
transcript.pyannote[2440].start 13563.44721875
transcript.pyannote[2440].end 13563.61596875
transcript.pyannote[2441].speaker SPEAKER_17
transcript.pyannote[2441].start 13565.80971875
transcript.pyannote[2441].end 13567.61534375
transcript.pyannote[2442].speaker SPEAKER_17
transcript.pyannote[2442].start 13568.23971875
transcript.pyannote[2442].end 13569.48846875
transcript.pyannote[2443].speaker SPEAKER_17
transcript.pyannote[2443].start 13572.69471875
transcript.pyannote[2443].end 13576.93034375
transcript.pyannote[2444].speaker SPEAKER_17
transcript.pyannote[2444].start 13576.94721875
transcript.pyannote[2444].end 13577.03159375
transcript.pyannote[2445].speaker SPEAKER_17
transcript.pyannote[2445].start 13577.18346875
transcript.pyannote[2445].end 13578.22971875
transcript.pyannote[2446].speaker SPEAKER_15
transcript.pyannote[2446].start 13578.22971875
transcript.pyannote[2446].end 13578.28034375
transcript.pyannote[2447].speaker SPEAKER_17
transcript.pyannote[2447].start 13578.28034375
transcript.pyannote[2447].end 13578.29721875
transcript.pyannote[2448].speaker SPEAKER_17
transcript.pyannote[2448].start 13578.92159375
transcript.pyannote[2448].end 13579.96784375
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 13579.96784375
transcript.pyannote[2449].end 13580.74409375
transcript.pyannote[2450].speaker SPEAKER_15
transcript.pyannote[2450].start 13581.35159375
transcript.pyannote[2450].end 13587.19034375
transcript.pyannote[2451].speaker SPEAKER_15
transcript.pyannote[2451].start 13587.67971875
transcript.pyannote[2451].end 13592.97846875
transcript.pyannote[2452].speaker SPEAKER_15
transcript.pyannote[2452].start 13593.38346875
transcript.pyannote[2452].end 13594.69971875
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 13595.03721875
transcript.pyannote[2453].end 13595.91471875
transcript.pyannote[2454].speaker SPEAKER_15
transcript.pyannote[2454].start 13596.48846875
transcript.pyannote[2454].end 13597.63596875
transcript.pyannote[2455].speaker SPEAKER_15
transcript.pyannote[2455].start 13598.05784375
transcript.pyannote[2455].end 13598.61471875
transcript.pyannote[2456].speaker SPEAKER_15
transcript.pyannote[2456].start 13599.93096875
transcript.pyannote[2456].end 13601.92221875
transcript.pyannote[2457].speaker SPEAKER_15
transcript.pyannote[2457].start 13602.24284375
transcript.pyannote[2457].end 13605.21284375
transcript.pyannote[2458].speaker SPEAKER_15
transcript.pyannote[2458].start 13606.42784375
transcript.pyannote[2458].end 13609.22909375
transcript.pyannote[2459].speaker SPEAKER_15
transcript.pyannote[2459].start 13609.49909375
transcript.pyannote[2459].end 13611.62534375
transcript.pyannote[2460].speaker SPEAKER_15
transcript.pyannote[2460].start 13611.99659375
transcript.pyannote[2460].end 13614.47721875
transcript.pyannote[2461].speaker SPEAKER_21
transcript.pyannote[2461].start 13615.25346875
transcript.pyannote[2461].end 13615.50659375
transcript.pyannote[2462].speaker SPEAKER_15
transcript.pyannote[2462].start 13616.62034375
transcript.pyannote[2462].end 13626.69471875
transcript.pyannote[2463].speaker SPEAKER_15
transcript.pyannote[2463].start 13626.84659375
transcript.pyannote[2463].end 13628.58471875
transcript.pyannote[2464].speaker SPEAKER_15
transcript.pyannote[2464].start 13628.83784375
transcript.pyannote[2464].end 13636.83659375
transcript.pyannote[2465].speaker SPEAKER_15
transcript.pyannote[2465].start 13637.71409375
transcript.pyannote[2465].end 13638.96284375
transcript.pyannote[2466].speaker SPEAKER_17
transcript.pyannote[2466].start 13646.82659375
transcript.pyannote[2466].end 13649.91471875
transcript.pyannote[2467].speaker SPEAKER_17
transcript.pyannote[2467].start 13650.65721875
transcript.pyannote[2467].end 13651.04534375
transcript.pyannote[2468].speaker SPEAKER_17
transcript.pyannote[2468].start 13651.53471875
transcript.pyannote[2468].end 13652.91846875
transcript.pyannote[2469].speaker SPEAKER_17
transcript.pyannote[2469].start 13654.08284375
transcript.pyannote[2469].end 13655.97284375
transcript.pyannote[2470].speaker SPEAKER_15
transcript.pyannote[2470].start 13655.97284375
transcript.pyannote[2470].end 13656.85034375
transcript.pyannote[2471].speaker SPEAKER_17
transcript.pyannote[2471].start 13656.85034375
transcript.pyannote[2471].end 13656.86721875
transcript.pyannote[2472].speaker SPEAKER_15
transcript.pyannote[2472].start 13656.95159375
transcript.pyannote[2472].end 13657.60971875
transcript.pyannote[2473].speaker SPEAKER_15
transcript.pyannote[2473].start 13659.31409375
transcript.pyannote[2473].end 13661.69346875
transcript.pyannote[2474].speaker SPEAKER_15
transcript.pyannote[2474].start 13662.82409375
transcript.pyannote[2474].end 13664.42721875
transcript.pyannote[2475].speaker SPEAKER_15
transcript.pyannote[2475].start 13665.60846875
transcript.pyannote[2475].end 13669.40534375
transcript.pyannote[2476].speaker SPEAKER_15
transcript.pyannote[2476].start 13670.24909375
transcript.pyannote[2476].end 13672.91534375
transcript.pyannote[2477].speaker SPEAKER_15
transcript.pyannote[2477].start 13673.08409375
transcript.pyannote[2477].end 13675.42971875
transcript.pyannote[2478].speaker SPEAKER_15
transcript.pyannote[2478].start 13676.59409375
transcript.pyannote[2478].end 13677.89346875
transcript.pyannote[2479].speaker SPEAKER_17
transcript.pyannote[2479].start 13677.89346875
transcript.pyannote[2479].end 13677.91034375
transcript.pyannote[2480].speaker SPEAKER_15
transcript.pyannote[2480].start 13679.51346875
transcript.pyannote[2480].end 13679.53034375
transcript.pyannote[2481].speaker SPEAKER_17
transcript.pyannote[2481].start 13679.53034375
transcript.pyannote[2481].end 13681.26846875
transcript.pyannote[2482].speaker SPEAKER_15
transcript.pyannote[2482].start 13681.26846875
transcript.pyannote[2482].end 13681.30221875
transcript.pyannote[2483].speaker SPEAKER_17
transcript.pyannote[2483].start 13681.43721875
transcript.pyannote[2483].end 13682.90534375
transcript.pyannote[2484].speaker SPEAKER_17
transcript.pyannote[2484].start 13682.95596875
transcript.pyannote[2484].end 13683.34409375
transcript.pyannote[2485].speaker SPEAKER_15
transcript.pyannote[2485].start 13683.34409375
transcript.pyannote[2485].end 13683.36096875
transcript.pyannote[2486].speaker SPEAKER_17
transcript.pyannote[2486].start 13683.69846875
transcript.pyannote[2486].end 13685.45346875
transcript.pyannote[2487].speaker SPEAKER_15
transcript.pyannote[2487].start 13685.45346875
transcript.pyannote[2487].end 13685.50409375
transcript.pyannote[2488].speaker SPEAKER_17
transcript.pyannote[2488].start 13685.50409375
transcript.pyannote[2488].end 13685.53784375
transcript.pyannote[2489].speaker SPEAKER_15
transcript.pyannote[2489].start 13685.53784375
transcript.pyannote[2489].end 13685.62221875
transcript.pyannote[2490].speaker SPEAKER_17
transcript.pyannote[2490].start 13687.88346875
transcript.pyannote[2490].end 13691.10659375
transcript.pyannote[2491].speaker SPEAKER_17
transcript.pyannote[2491].start 13691.88284375
transcript.pyannote[2491].end 13694.78534375
transcript.pyannote[2492].speaker SPEAKER_17
transcript.pyannote[2492].start 13697.36721875
transcript.pyannote[2492].end 13704.58971875
transcript.pyannote[2493].speaker SPEAKER_15
transcript.pyannote[2493].start 13698.02534375
transcript.pyannote[2493].end 13698.37971875
transcript.pyannote[2494].speaker SPEAKER_15
transcript.pyannote[2494].start 13698.58221875
transcript.pyannote[2494].end 13699.51034375
transcript.pyannote[2495].speaker SPEAKER_17
transcript.pyannote[2495].start 13705.11284375
transcript.pyannote[2495].end 13705.66971875
transcript.pyannote[2496].speaker SPEAKER_17
transcript.pyannote[2496].start 13706.39534375
transcript.pyannote[2496].end 13733.90159375
transcript.pyannote[2497].speaker SPEAKER_17
transcript.pyannote[2497].start 13734.39096875
transcript.pyannote[2497].end 13735.85909375
transcript.pyannote[2498].speaker SPEAKER_17
transcript.pyannote[2498].start 13741.59659375
transcript.pyannote[2498].end 13741.61346875
transcript.pyannote[2499].speaker SPEAKER_15
transcript.pyannote[2499].start 13741.61346875
transcript.pyannote[2499].end 13742.81159375
transcript.pyannote[2500].speaker SPEAKER_15
transcript.pyannote[2500].start 13743.94221875
transcript.pyannote[2500].end 13744.58346875
transcript.pyannote[2501].speaker SPEAKER_15
transcript.pyannote[2501].start 13746.60846875
transcript.pyannote[2501].end 13748.88659375
transcript.pyannote[2502].speaker SPEAKER_18
transcript.pyannote[2502].start 13748.88659375
transcript.pyannote[2502].end 13750.89471875
transcript.pyannote[2503].speaker SPEAKER_15
transcript.pyannote[2503].start 13749.42659375
transcript.pyannote[2503].end 13756.39596875
transcript.pyannote[2504].speaker SPEAKER_18
transcript.pyannote[2504].start 13751.40096875
transcript.pyannote[2504].end 13752.56534375
transcript.pyannote[2505].speaker SPEAKER_15
transcript.pyannote[2505].start 13757.13846875
transcript.pyannote[2505].end 13762.09971875
transcript.pyannote[2506].speaker SPEAKER_15
transcript.pyannote[2506].start 13763.73659375
transcript.pyannote[2506].end 13764.22596875
transcript.pyannote[2507].speaker SPEAKER_15
transcript.pyannote[2507].start 13765.69409375
transcript.pyannote[2507].end 13769.44034375
transcript.pyannote[2508].speaker SPEAKER_18
transcript.pyannote[2508].start 13769.57534375
transcript.pyannote[2508].end 13770.03096875
transcript.pyannote[2509].speaker SPEAKER_15
transcript.pyannote[2509].start 13770.33471875
transcript.pyannote[2509].end 13773.40596875
transcript.pyannote[2510].speaker SPEAKER_15
transcript.pyannote[2510].start 13773.82784375
transcript.pyannote[2510].end 13775.04284375
transcript.pyannote[2511].speaker SPEAKER_15
transcript.pyannote[2511].start 13775.76846875
transcript.pyannote[2511].end 13777.25346875
transcript.pyannote[2512].speaker SPEAKER_15
transcript.pyannote[2512].start 13777.45596875
transcript.pyannote[2512].end 13781.43846875
transcript.pyannote[2513].speaker SPEAKER_15
transcript.pyannote[2513].start 13782.63659375
transcript.pyannote[2513].end 13786.19721875
transcript.pyannote[2514].speaker SPEAKER_15
transcript.pyannote[2514].start 13786.38284375
transcript.pyannote[2514].end 13786.73721875
transcript.pyannote[2515].speaker SPEAKER_15
transcript.pyannote[2515].start 13787.04096875
transcript.pyannote[2515].end 13788.27284375
transcript.pyannote[2516].speaker SPEAKER_15
transcript.pyannote[2516].start 13788.57659375
transcript.pyannote[2516].end 13789.11659375
transcript.pyannote[2517].speaker SPEAKER_17
transcript.pyannote[2517].start 13789.11659375
transcript.pyannote[2517].end 13790.09534375
transcript.pyannote[2518].speaker SPEAKER_17
transcript.pyannote[2518].start 13790.60159375
transcript.pyannote[2518].end 13792.55909375
transcript.pyannote[2519].speaker SPEAKER_17
transcript.pyannote[2519].start 13795.46159375
transcript.pyannote[2519].end 13796.28846875
transcript.pyannote[2520].speaker SPEAKER_17
transcript.pyannote[2520].start 13796.45721875
transcript.pyannote[2520].end 13798.00971875
transcript.pyannote[2521].speaker SPEAKER_15
transcript.pyannote[2521].start 13798.00971875
transcript.pyannote[2521].end 13798.02659375
transcript.pyannote[2522].speaker SPEAKER_17
transcript.pyannote[2522].start 13801.31721875
transcript.pyannote[2522].end 13801.33409375
transcript.pyannote[2523].speaker SPEAKER_15
transcript.pyannote[2523].start 13801.33409375
transcript.pyannote[2523].end 13802.75159375
transcript.pyannote[2524].speaker SPEAKER_15
transcript.pyannote[2524].start 13803.46034375
transcript.pyannote[2524].end 13803.69659375
transcript.pyannote[2525].speaker SPEAKER_15
transcript.pyannote[2525].start 13803.83159375
transcript.pyannote[2525].end 13806.53159375
transcript.pyannote[2526].speaker SPEAKER_15
transcript.pyannote[2526].start 13814.95221875
transcript.pyannote[2526].end 13816.08284375
transcript.pyannote[2527].speaker SPEAKER_17
transcript.pyannote[2527].start 13817.26409375
transcript.pyannote[2527].end 13822.57971875
transcript.pyannote[2528].speaker SPEAKER_17
transcript.pyannote[2528].start 13824.25034375
transcript.pyannote[2528].end 13825.26284375
transcript.pyannote[2529].speaker SPEAKER_17
transcript.pyannote[2529].start 13826.20784375
transcript.pyannote[2529].end 13826.84909375
transcript.pyannote[2530].speaker SPEAKER_17
transcript.pyannote[2530].start 13828.21596875
transcript.pyannote[2530].end 13830.24096875
transcript.pyannote[2531].speaker SPEAKER_17
transcript.pyannote[2531].start 13830.51096875
transcript.pyannote[2531].end 13830.91596875
transcript.pyannote[2532].speaker SPEAKER_17
transcript.pyannote[2532].start 13831.21971875
transcript.pyannote[2532].end 13833.26159375
transcript.pyannote[2533].speaker SPEAKER_17
transcript.pyannote[2533].start 13833.27846875
transcript.pyannote[2533].end 13833.64971875
transcript.pyannote[2534].speaker SPEAKER_15
transcript.pyannote[2534].start 13835.84346875
transcript.pyannote[2534].end 13837.88534375
transcript.pyannote[2535].speaker SPEAKER_17
transcript.pyannote[2535].start 13837.22721875
transcript.pyannote[2535].end 13837.44659375
transcript.pyannote[2536].speaker SPEAKER_15
transcript.pyannote[2536].start 13838.30721875
transcript.pyannote[2536].end 13838.77971875
transcript.pyannote[2537].speaker SPEAKER_15
transcript.pyannote[2537].start 13838.89784375
transcript.pyannote[2537].end 13842.88034375
transcript.pyannote[2538].speaker SPEAKER_17
transcript.pyannote[2538].start 13841.96909375
transcript.pyannote[2538].end 13844.73659375
transcript.pyannote[2539].speaker SPEAKER_15
transcript.pyannote[2539].start 13843.03221875
transcript.pyannote[2539].end 13845.19221875
transcript.pyannote[2540].speaker SPEAKER_15
transcript.pyannote[2540].start 13845.74909375
transcript.pyannote[2540].end 13846.59284375
transcript.pyannote[2541].speaker SPEAKER_15
transcript.pyannote[2541].start 13847.16659375
transcript.pyannote[2541].end 13850.81159375
transcript.pyannote[2542].speaker SPEAKER_17
transcript.pyannote[2542].start 13851.03096875
transcript.pyannote[2542].end 13851.48659375
transcript.pyannote[2543].speaker SPEAKER_15
transcript.pyannote[2543].start 13851.48659375
transcript.pyannote[2543].end 13853.35971875
transcript.pyannote[2544].speaker SPEAKER_15
transcript.pyannote[2544].start 13854.65909375
transcript.pyannote[2544].end 13855.21596875
transcript.pyannote[2545].speaker SPEAKER_15
transcript.pyannote[2545].start 13856.14409375
transcript.pyannote[2545].end 13857.03846875
transcript.pyannote[2546].speaker SPEAKER_14
transcript.pyannote[2546].start 13857.03846875
transcript.pyannote[2546].end 13857.42659375
transcript.pyannote[2547].speaker SPEAKER_15
transcript.pyannote[2547].start 13857.42659375
transcript.pyannote[2547].end 13858.00034375
transcript.pyannote[2548].speaker SPEAKER_14
transcript.pyannote[2548].start 13858.00034375
transcript.pyannote[2548].end 13859.55284375
transcript.pyannote[2549].speaker SPEAKER_14
transcript.pyannote[2549].start 13859.67096875
transcript.pyannote[2549].end 13859.77221875
transcript.pyannote[2550].speaker SPEAKER_17
transcript.pyannote[2550].start 13859.77221875
transcript.pyannote[2550].end 13860.02534375
transcript.pyannote[2551].speaker SPEAKER_17
transcript.pyannote[2551].start 13860.31221875
transcript.pyannote[2551].end 13861.25721875
transcript.pyannote[2552].speaker SPEAKER_14
transcript.pyannote[2552].start 13860.93659375
transcript.pyannote[2552].end 13861.02096875
transcript.pyannote[2553].speaker SPEAKER_17
transcript.pyannote[2553].start 13861.57784375
transcript.pyannote[2553].end 13863.67034375
transcript.pyannote[2554].speaker SPEAKER_17
transcript.pyannote[2554].start 13863.82221875
transcript.pyannote[2554].end 13863.83909375
transcript.pyannote[2555].speaker SPEAKER_14
transcript.pyannote[2555].start 13863.83909375
transcript.pyannote[2555].end 13863.87284375
transcript.pyannote[2556].speaker SPEAKER_17
transcript.pyannote[2556].start 13863.87284375
transcript.pyannote[2556].end 13864.19346875
transcript.pyannote[2557].speaker SPEAKER_17
transcript.pyannote[2557].start 13868.05784375
transcript.pyannote[2557].end 13868.41221875
transcript.pyannote[2558].speaker SPEAKER_17
transcript.pyannote[2558].start 13869.64409375
transcript.pyannote[2558].end 13871.61846875
transcript.pyannote[2559].speaker SPEAKER_24
transcript.pyannote[2559].start 13874.33534375
transcript.pyannote[2559].end 13875.34784375
transcript.pyannote[2560].speaker SPEAKER_24
transcript.pyannote[2560].start 13876.05659375
transcript.pyannote[2560].end 13876.76534375
transcript.pyannote[2561].speaker SPEAKER_24
transcript.pyannote[2561].start 13876.84971875
transcript.pyannote[2561].end 13880.69721875
transcript.pyannote[2562].speaker SPEAKER_24
transcript.pyannote[2562].start 13880.78159375
transcript.pyannote[2562].end 13883.53221875
transcript.pyannote[2563].speaker SPEAKER_24
transcript.pyannote[2563].start 13884.15659375
transcript.pyannote[2563].end 13907.17409375
transcript.pyannote[2564].speaker SPEAKER_24
transcript.pyannote[2564].start 13907.54534375
transcript.pyannote[2564].end 13913.58659375
transcript.pyannote[2565].speaker SPEAKER_24
transcript.pyannote[2565].start 13913.67096875
transcript.pyannote[2565].end 13915.02096875
transcript.pyannote[2566].speaker SPEAKER_24
transcript.pyannote[2566].start 13915.49346875
transcript.pyannote[2566].end 13915.86471875
transcript.pyannote[2567].speaker SPEAKER_24
transcript.pyannote[2567].start 13916.26971875
transcript.pyannote[2567].end 13920.13409375
transcript.pyannote[2568].speaker SPEAKER_24
transcript.pyannote[2568].start 13921.06221875
transcript.pyannote[2568].end 13923.57659375
transcript.pyannote[2569].speaker SPEAKER_24
transcript.pyannote[2569].start 13923.74534375
transcript.pyannote[2569].end 13925.39909375
transcript.pyannote[2570].speaker SPEAKER_24
transcript.pyannote[2570].start 13925.73659375
transcript.pyannote[2570].end 13926.07409375
transcript.pyannote[2571].speaker SPEAKER_24
transcript.pyannote[2571].start 13926.31034375
transcript.pyannote[2571].end 13927.62659375
transcript.pyannote[2572].speaker SPEAKER_24
transcript.pyannote[2572].start 13927.71096875
transcript.pyannote[2572].end 13934.32596875
transcript.pyannote[2573].speaker SPEAKER_24
transcript.pyannote[2573].start 13934.57909375
transcript.pyannote[2573].end 13934.91659375
transcript.pyannote[2574].speaker SPEAKER_24
transcript.pyannote[2574].start 13935.38909375
transcript.pyannote[2574].end 13935.91221875
transcript.pyannote[2575].speaker SPEAKER_24
transcript.pyannote[2575].start 13936.65471875
transcript.pyannote[2575].end 13938.79784375
transcript.pyannote[2576].speaker SPEAKER_24
transcript.pyannote[2576].start 13939.72596875
transcript.pyannote[2576].end 13942.05471875
transcript.pyannote[2577].speaker SPEAKER_24
transcript.pyannote[2577].start 13942.07159375
transcript.pyannote[2577].end 13942.08846875
transcript.pyannote[2578].speaker SPEAKER_24
transcript.pyannote[2578].start 13942.12221875
transcript.pyannote[2578].end 13944.75471875
transcript.pyannote[2579].speaker SPEAKER_24
transcript.pyannote[2579].start 13945.27784375
transcript.pyannote[2579].end 13946.47596875
transcript.pyannote[2580].speaker SPEAKER_24
transcript.pyannote[2580].start 13947.20159375
transcript.pyannote[2580].end 13948.75409375
transcript.pyannote[2581].speaker SPEAKER_24
transcript.pyannote[2581].start 13950.69471875
transcript.pyannote[2581].end 13952.06159375
transcript.pyannote[2582].speaker SPEAKER_24
transcript.pyannote[2582].start 13952.46659375
transcript.pyannote[2582].end 13953.02346875
transcript.pyannote[2583].speaker SPEAKER_24
transcript.pyannote[2583].start 13953.58034375
transcript.pyannote[2583].end 13954.47471875
transcript.pyannote[2584].speaker SPEAKER_24
transcript.pyannote[2584].start 13954.89659375
transcript.pyannote[2584].end 13965.46034375
transcript.pyannote[2585].speaker SPEAKER_17
transcript.pyannote[2585].start 13966.20284375
transcript.pyannote[2585].end 13967.16471875
transcript.pyannote[2586].speaker SPEAKER_17
transcript.pyannote[2586].start 13968.22784375
transcript.pyannote[2586].end 13968.75096875
transcript.pyannote[2587].speaker SPEAKER_15
transcript.pyannote[2587].start 13968.75096875
transcript.pyannote[2587].end 13968.85221875
transcript.pyannote[2588].speaker SPEAKER_17
transcript.pyannote[2588].start 13968.85221875
transcript.pyannote[2588].end 13968.97034375
transcript.pyannote[2589].speaker SPEAKER_15
transcript.pyannote[2589].start 13968.97034375
transcript.pyannote[2589].end 13969.12221875
transcript.pyannote[2590].speaker SPEAKER_24
transcript.pyannote[2590].start 13969.12221875
transcript.pyannote[2590].end 13969.27409375
transcript.pyannote[2591].speaker SPEAKER_15
transcript.pyannote[2591].start 13971.40034375
transcript.pyannote[2591].end 13972.19346875
transcript.pyannote[2592].speaker SPEAKER_15
transcript.pyannote[2592].start 13972.61534375
transcript.pyannote[2592].end 13974.94409375
transcript.pyannote[2593].speaker SPEAKER_17
transcript.pyannote[2593].start 13974.30284375
transcript.pyannote[2593].end 13976.02409375
transcript.pyannote[2594].speaker SPEAKER_01
transcript.pyannote[2594].start 13984.17471875
transcript.pyannote[2594].end 13985.45721875
transcript.pyannote[2595].speaker SPEAKER_01
transcript.pyannote[2595].start 13985.62596875
transcript.pyannote[2595].end 13987.51596875
transcript.pyannote[2596].speaker SPEAKER_01
transcript.pyannote[2596].start 13988.73096875
transcript.pyannote[2596].end 13990.26659375
transcript.pyannote[2597].speaker SPEAKER_01
transcript.pyannote[2597].start 13990.82346875
transcript.pyannote[2597].end 13991.34659375
transcript.pyannote[2598].speaker SPEAKER_01
transcript.pyannote[2598].start 13992.12284375
transcript.pyannote[2598].end 13993.86096875
transcript.pyannote[2599].speaker SPEAKER_01
transcript.pyannote[2599].start 13993.87784375
transcript.pyannote[2599].end 13995.64971875
transcript.pyannote[2600].speaker SPEAKER_15
transcript.pyannote[2600].start 13994.09721875
transcript.pyannote[2600].end 13995.66659375
transcript.pyannote[2601].speaker SPEAKER_01
transcript.pyannote[2601].start 13995.66659375
transcript.pyannote[2601].end 13996.32471875
transcript.pyannote[2602].speaker SPEAKER_15
transcript.pyannote[2602].start 13996.32471875
transcript.pyannote[2602].end 13997.52284375
transcript.pyannote[2603].speaker SPEAKER_01
transcript.pyannote[2603].start 13997.52284375
transcript.pyannote[2603].end 13997.75909375
transcript.pyannote[2604].speaker SPEAKER_15
transcript.pyannote[2604].start 13997.75909375
transcript.pyannote[2604].end 13998.06284375
transcript.pyannote[2605].speaker SPEAKER_17
transcript.pyannote[2605].start 14001.62346875
transcript.pyannote[2605].end 14002.58534375
transcript.pyannote[2606].speaker SPEAKER_17
transcript.pyannote[2606].start 14002.80471875
transcript.pyannote[2606].end 14002.83846875
transcript.pyannote[2607].speaker SPEAKER_24
transcript.pyannote[2607].start 14002.83846875
transcript.pyannote[2607].end 14002.85534375
transcript.pyannote[2608].speaker SPEAKER_17
transcript.pyannote[2608].start 14002.85534375
transcript.pyannote[2608].end 14002.95659375
transcript.pyannote[2609].speaker SPEAKER_24
transcript.pyannote[2609].start 14002.95659375
transcript.pyannote[2609].end 14003.32784375
transcript.pyannote[2610].speaker SPEAKER_24
transcript.pyannote[2610].start 14003.59784375
transcript.pyannote[2610].end 14008.79534375
transcript.pyannote[2611].speaker SPEAKER_24
transcript.pyannote[2611].start 14009.06534375
transcript.pyannote[2611].end 14009.70659375
transcript.pyannote[2612].speaker SPEAKER_24
transcript.pyannote[2612].start 14010.33096875
transcript.pyannote[2612].end 14011.30971875
transcript.pyannote[2613].speaker SPEAKER_24
transcript.pyannote[2613].start 14012.01846875
transcript.pyannote[2613].end 14015.71409375
transcript.pyannote[2614].speaker SPEAKER_24
transcript.pyannote[2614].start 14015.96721875
transcript.pyannote[2614].end 14020.40534375
transcript.pyannote[2615].speaker SPEAKER_24
transcript.pyannote[2615].start 14020.65846875
transcript.pyannote[2615].end 14021.19846875
transcript.pyannote[2616].speaker SPEAKER_17
transcript.pyannote[2616].start 14021.19846875
transcript.pyannote[2616].end 14021.97471875
transcript.pyannote[2617].speaker SPEAKER_24
transcript.pyannote[2617].start 14021.51909375
transcript.pyannote[2617].end 14022.00846875
transcript.pyannote[2618].speaker SPEAKER_17
transcript.pyannote[2618].start 14022.00846875
transcript.pyannote[2618].end 14022.02534375
transcript.pyannote[2619].speaker SPEAKER_24
transcript.pyannote[2619].start 14022.02534375
transcript.pyannote[2619].end 14022.07596875
transcript.pyannote[2620].speaker SPEAKER_24
transcript.pyannote[2620].start 14022.64971875
transcript.pyannote[2620].end 14023.40909375
transcript.pyannote[2621].speaker SPEAKER_17
transcript.pyannote[2621].start 14024.40471875
transcript.pyannote[2621].end 14028.97784375
transcript.pyannote[2622].speaker SPEAKER_15
transcript.pyannote[2622].start 14028.97784375
transcript.pyannote[2622].end 14035.20471875
transcript.pyannote[2623].speaker SPEAKER_15
transcript.pyannote[2623].start 14035.74471875
transcript.pyannote[2623].end 14036.35221875
transcript.pyannote[2624].speaker SPEAKER_17
transcript.pyannote[2624].start 14036.35221875
transcript.pyannote[2624].end 14036.36909375
transcript.pyannote[2625].speaker SPEAKER_15
transcript.pyannote[2625].start 14037.09471875
transcript.pyannote[2625].end 14037.78659375
transcript.pyannote[2626].speaker SPEAKER_17
transcript.pyannote[2626].start 14038.34346875
transcript.pyannote[2626].end 14045.93721875
transcript.pyannote[2627].speaker SPEAKER_17
transcript.pyannote[2627].start 14046.78096875
transcript.pyannote[2627].end 14048.45159375
transcript.pyannote[2628].speaker SPEAKER_17
transcript.pyannote[2628].start 14048.89034375
transcript.pyannote[2628].end 14050.05471875
transcript.pyannote[2629].speaker SPEAKER_17
transcript.pyannote[2629].start 14050.64534375
transcript.pyannote[2629].end 14056.46721875
transcript.pyannote[2630].speaker SPEAKER_17
transcript.pyannote[2630].start 14056.63596875
transcript.pyannote[2630].end 14059.53846875
transcript.pyannote[2631].speaker SPEAKER_16
transcript.pyannote[2631].start 14072.97096875
transcript.pyannote[2631].end 14073.03846875
transcript.pyannote[2632].speaker SPEAKER_03
transcript.pyannote[2632].start 14081.99909375
transcript.pyannote[2632].end 14082.03284375
transcript.pyannote[2633].speaker SPEAKER_02
transcript.pyannote[2633].start 14096.35971875
transcript.pyannote[2633].end 14096.61284375
transcript.pyannote[2634].speaker SPEAKER_02
transcript.pyannote[2634].start 14097.18659375
transcript.pyannote[2634].end 14097.91221875
transcript.pyannote[2635].speaker SPEAKER_02
transcript.pyannote[2635].start 14098.09784375
transcript.pyannote[2635].end 14098.82346875
transcript.pyannote[2636].speaker SPEAKER_02
transcript.pyannote[2636].start 14101.48971875
transcript.pyannote[2636].end 14111.15909375
transcript.pyannote[2637].speaker SPEAKER_18
transcript.pyannote[2637].start 14103.02534375
transcript.pyannote[2637].end 14103.91971875
transcript.pyannote[2638].speaker SPEAKER_00
transcript.pyannote[2638].start 14103.91971875
transcript.pyannote[2638].end 14104.15596875
transcript.pyannote[2639].speaker SPEAKER_18
transcript.pyannote[2639].start 14104.15596875
transcript.pyannote[2639].end 14104.72971875
transcript.pyannote[2640].speaker SPEAKER_00
transcript.pyannote[2640].start 14104.72971875
transcript.pyannote[2640].end 14105.15159375
transcript.pyannote[2641].speaker SPEAKER_00
transcript.pyannote[2641].start 14105.47221875
transcript.pyannote[2641].end 14105.53971875
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 14105.53971875
transcript.pyannote[2642].end 14105.77596875
transcript.pyannote[2643].speaker SPEAKER_10
transcript.pyannote[2643].start 14105.77596875
transcript.pyannote[2643].end 14105.86034375
transcript.pyannote[2644].speaker SPEAKER_18
transcript.pyannote[2644].start 14105.86034375
transcript.pyannote[2644].end 14105.97846875
transcript.pyannote[2645].speaker SPEAKER_18
transcript.pyannote[2645].start 14106.36659375
transcript.pyannote[2645].end 14108.37471875
transcript.pyannote[2646].speaker SPEAKER_03
transcript.pyannote[2646].start 14108.37471875
transcript.pyannote[2646].end 14108.45909375
transcript.pyannote[2647].speaker SPEAKER_18
transcript.pyannote[2647].start 14108.45909375
transcript.pyannote[2647].end 14108.47596875
transcript.pyannote[2648].speaker SPEAKER_03
transcript.pyannote[2648].start 14108.47596875
transcript.pyannote[2648].end 14109.30284375
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 14109.30284375
transcript.pyannote[2649].end 14109.40409375
transcript.pyannote[2650].speaker SPEAKER_02
transcript.pyannote[2650].start 14112.88034375
transcript.pyannote[2650].end 14115.95159375
transcript.pyannote[2651].speaker SPEAKER_02
transcript.pyannote[2651].start 14129.02971875
transcript.pyannote[2651].end 14129.18159375
transcript.pyannote[2652].speaker SPEAKER_02
transcript.pyannote[2652].start 14129.97471875
transcript.pyannote[2652].end 14130.02534375
transcript.pyannote[2653].speaker SPEAKER_16
transcript.pyannote[2653].start 14130.83534375
transcript.pyannote[2653].end 14130.91971875
transcript.pyannote[2654].speaker SPEAKER_16
transcript.pyannote[2654].start 14130.97034375
transcript.pyannote[2654].end 14131.27409375
transcript.pyannote[2655].speaker SPEAKER_16
transcript.pyannote[2655].start 14131.79721875
transcript.pyannote[2655].end 14131.91534375
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 14131.96596875
transcript.pyannote[2656].end 14131.98284375
transcript.pyannote[2657].speaker SPEAKER_16
transcript.pyannote[2657].start 14131.98284375
transcript.pyannote[2657].end 14132.06721875
transcript.pyannote[2658].speaker SPEAKER_18
transcript.pyannote[2658].start 14134.86846875
transcript.pyannote[2658].end 14137.41659375
transcript.whisperx[0].start 129.131
transcript.whisperx[0].end 129.514
transcript.whisperx[0].text 谢谢观看,下次见!
transcript.whisperx[1].start 717.951
transcript.whisperx[1].end 718.032
transcript.whisperx[1].text 谢谢观看
transcript.whisperx[2].start 752.747
transcript.whisperx[2].end 752.872
transcript.whisperx[2].text by bwd6
transcript.whisperx[3].start 864.282
transcript.whisperx[3].end 864.425
transcript.whisperx[3].text 谢谢观看,下次见!
transcript.whisperx[4].start 1027.244
transcript.whisperx[4].end 1028.336
transcript.whisperx[4].text MING PAO CANADA MANGA
transcript.whisperx[5].start 1490.995
transcript.whisperx[5].end 1503.823
transcript.whisperx[5].text 好 會議開始我們請這個組密報告出席人數報告委員會出席委員10人 已組法定人數好 我們現在開會 進行報告事項請宣讀上次會議意思錄
transcript.whisperx[6].start 1505.492
transcript.whisperx[6].end 1528.545
transcript.whisperx[6].text 立法院第11屆第5會期經紀委員會第15次全體委員會議事錄時間115年5月7日星期三上午9時至12時13分115年5月28日星期四上午9時至13時40分地點紅樓101會議室出席人陳廷飛等14人列席人林思明等8人列席官員115年5月7日星期三國家發展委員會主任委員葉俊賢等115年
transcript.whisperx[7].start 1530.626
transcript.whisperx[7].end 1536.85
transcript.whisperx[7].text 五月二十八日星期四文貴部部長陳俊記等主席召集委員邱志偉一百一十五年五月七日星期三
transcript.whisperx[8].start 1560.806
transcript.whisperx[8].end 1582.083
transcript.whisperx[8].text 一百二十三万三千元赵列第四款财政收入第十一项国家发展委员会八百零一万五千元赵列第十二项党管理局一百八十八万元赵列第一款营业营业及失业收入第一项行政案第二幕非营业特种基金剩余缴户一百亿元赵列是所属非营业特种基金审议决确定在行调整
transcript.whisperx[9].start 1582.904
transcript.whisperx[9].end 1599.507
transcript.whisperx[9].text 第七款 其他收入第十一項 國家發展委員會 三十五萬一千元 照列第十二項 檔案管理局 二十一萬九千元 照列二 稅務部份第二款 行政主管第六項 國家發展委員會 三十六億 六百八十萬一千元除第十二目 非營利特種基金 九億元 正照列
transcript.whisperx[10].start 1600.107
transcript.whisperx[10].end 1612.134
transcript.whisperx[10].text 4.所屬非營業特種基金審議確定債刑調整外7億金照列本項通過決議71項第7項 檔案管理局5億7,852萬2千元照列本項通過決議9項3.
transcript.whisperx[11].start 1612.134
transcript.whisperx[11].end 1616.816
transcript.whisperx[11].text 有關正式別稅出預算隨同以上機關別審查結果調整2.
transcript.whisperx[12].start 1616.816
transcript.whisperx[12].end 1627.422
transcript.whisperx[12].text 繼續審查115年度中央政府總預算案附屬單位預算非營業部分關於行政院主管行政院國家發展基金離島建設基金花東地區永續發展基金及促進轉型正義基金決議
transcript.whisperx[13].start 1628.763
transcript.whisperx[13].end 1647.236
transcript.whisperx[13].text 甲 行政主管一 作業基金行政國家發展基金一 業務計劃一 運鏡業務收支轉投資固定資產之建設改良擴充及資金運用等向之審查結果隨當調整二 業務收支一 業務總收入3711753萬8千億元照列二 業務總支出79億9千194萬6千元照列三 本期剩餘290億2559萬2千元照列三 街角公庫金額100億元照列
transcript.whisperx[14].start 1658.784
transcript.whisperx[14].end 1672.369
transcript.whisperx[14].text 4.轉投資計畫無劣數5.固定資產建設改良擴充3586萬5千元造劣6.國庫中波基金有無劣數7.通過決議19項2.特別收入基金離島建設基金
transcript.whisperx[15].start 1674.99
transcript.whisperx[15].end 1683.738
transcript.whisperx[15].text 1.基金來源與用途審查結果隨同調整2.基金來源用途及輿促1.基金來源91121萬7千元炸裂2.基金來源911716萬3千元炸裂3.本期短處54萬6千元炸裂4.街角公庫無劣數5.通過決議兩項
transcript.whisperx[16].start 1692.805
transcript.whisperx[16].end 1706.03
transcript.whisperx[16].text 3.特別收入基金,環境地區永續發展基金,依業務計劃,依依據基金來源與用途審查結果水平調整2.基金來源用途給予處,依基金來源600萬元照列2.基金用途29億4208萬8千元照列3.本期短處29億3600萬8千元照列3.結繳公庫無劣數4.通過決議兩項
transcript.whisperx[17].start 1715.053
transcript.whisperx[17].end 1732.596
transcript.whisperx[17].text 4.特別收入基金促進轉型正義基金1.優惠計畫因應基金來源與用途審查結果遂當調整2.基金來源用途及益處1.基金來源7,583萬元造列2.基金用途1億8,648萬6千元造列3.本期短處1億1,065萬6千元造列3.節繳空庫劣數4.通過決議三項
transcript.whisperx[18].start 1742.153
transcript.whisperx[18].end 1770.648
transcript.whisperx[18].text 115年5月18日星期四討論事項1.繼續審查1.115年度中央政府總預算案關於農業部及所屬單位預算部分2.115年度中央政府總預算案有關第27款直轄市及縣市政府第7項一般性補助款農業部主管第一幕農業部第二幕林業及自然保育署及所屬第三幕農村發展及水土保持署及所屬第四幕漁業署及所屬第五幕動植物防疫檢疫署及所屬第六幕農糧署及所屬第七幕農田水利署部分預算
transcript.whisperx[19].start 1771.969
transcript.whisperx[19].end 1778.597
transcript.whisperx[19].text 決議一稅率一部分第二款罰款及賠償收入第158項農業部252萬元遭獵第159項林業及自然保育署及所屬2815萬元155千元遭獵106項
transcript.whisperx[20].start 1787.347
transcript.whisperx[20].end 1795.936
transcript.whisperx[20].text 第106項農村發展及收入保持暑期所屬1735萬元照列第161項農業適用所及所屬40萬元照列第162項林業適用所35萬元照列第163項水產適用所24萬元照列第164項蓄產適用所及所屬128000元照列第165項
transcript.whisperx[21].start 1807.068
transcript.whisperx[21].end 1822.049
transcript.whisperx[21].text 农业药物试验所无略述第166项生物多样性研究所4000元照列第167项茶几饮药作物改良厂15000元照列第168项种药改良繁殖场3万元照列第169项台湾区农业改良厂
transcript.whisperx[22].start 1823.055
transcript.whisperx[22].end 1831.099
transcript.whisperx[22].text 第17170項苗栗區農業改良廠第171項台中區農業改良廠第172項台中區農業改良廠第173項高雄區農業改良廠均無劣數第174項花園區農業改良廠一萬元照列
transcript.whisperx[23].start 1838.923
transcript.whisperx[23].end 1846.807
transcript.whisperx[23].text 第175項台東區農業改房廠無劣數第176項漁業署及所屬2694萬7千元照列第177項動植物防疫檢疫署及所屬6166千元照列第178項農業金融署100萬元照列第179項農糧署及所屬16萬元照列第180項農田水利署10萬元照列第181項農業科技園區管理中心無劣數第三款歸類收入第128項
transcript.whisperx[24].start 1866.796
transcript.whisperx[24].end 1874.562
transcript.whisperx[24].text 農業部4,536萬1千人照列 第129項農業林業及自然保育署及所屬2千萬人照列 第130項農村發展及水土保持署及所屬540萬人照列 第131項農業實驗所及所屬597萬5千人照列 第132項林業實驗所8萬人照列 第133項水產實驗所140萬人照列 第134項收益研究所3,056萬4千人照列 第135項
transcript.whisperx[25].start 1894.738
transcript.whisperx[25].end 1910.71
transcript.whisperx[25].text 農業藥物試驗所4909萬6千元照列 第136項生物多樣性研究所90萬元照列 第137項茶集營藥作物改良廠2萬5千元照列 第138項種苗改良繁殖廠150萬元照列 第139項台灣區農業改良廠20萬元照列 第140項農地區農業改良廠32萬5千元照列 第141項
transcript.whisperx[26].start 1915.874
transcript.whisperx[26].end 1922.44
transcript.whisperx[26].text 台中區農業改良廠20萬人招列第142項台中區農業改良廠20萬人招列第143項高雄區農業改良廠20萬人招列第144項華人區農業改良廠8萬人招列第145項台中區農業改良廠8萬人招列第146項漁業署及所屬3,246萬2千人招列第147項
transcript.whisperx[27].start 1937.655
transcript.whisperx[27].end 1946.359
transcript.whisperx[27].text 動植物防疫檢疫署籍所屬335998千元照列第148項農業金融署411千元照列第149項農農署籍所屬6446千元照列第150項農林水利署500萬元照列第4款採選收入第170項農業部2479萬元照列第171項民業及自然保育署籍所屬24686萬4千元照列第172項農村發展及水土保持署籍所屬38萬元照列第173項
transcript.whisperx[28].start 1967.27
transcript.whisperx[28].end 1968.933
transcript.whisperx[28].text 農業試驗所及所屬104萬6千元遭獵第174項民藝業試驗所275萬5千元遭獵第175項學產試驗所322萬6千元遭獵
transcript.whisperx[29].start 1979.124
transcript.whisperx[29].end 1998.155
transcript.whisperx[29].text 第176項 蓄產試驗所及所屬167萬4千元照列第177項 收益研究所35萬4千元照列第178項 農業藥物試驗所20萬元照列第179項 生物動態研究所4萬2千元照列第180項 茶集飲料作物改良廠11萬3千元照列第181項 總要改良
transcript.whisperx[30].start 1998.655
transcript.whisperx[30].end 2007.903
transcript.whisperx[30].text 繁殖場10萬人照列第182項 臺灣區農業改良廠28萬人照列第183項 農業區農業改良廠8萬人照列第184項 臺中區農業改良廠16萬1千人照列第185項 臺中區農業改良廠55萬2千人照列第186項 高雄區農業改良廠2萬人照列
transcript.whisperx[31].start 2018.451
transcript.whisperx[31].end 2028.174
transcript.whisperx[31].text 第87項 花園區農業改良廠9萬元 照列第188項 台東區農業改良廠2萬元 照列第189項 漁業署及所屬9,415萬3千元 照列第190項 動植物防疫檢疫署及所屬164萬3千元 照列第191項 農業機農署8萬3千元 照列第192項 農糧署及所屬351萬5千元 照列第193項 農林水利署
transcript.whisperx[32].start 2040.618
transcript.whisperx[32].end 2048.262
transcript.whisperx[32].text 無劣數 第194項 農業科技園區管理中心 無劣數 第5款營業營業及事業收入 第10項 農業部417609萬3千元障礙第7款 其他收入 農業部5870萬1千元障礙 第168項
transcript.whisperx[33].start 2056.17
transcript.whisperx[33].end 2062.814
transcript.whisperx[33].text 林業及智能保育署及所屬9832萬1千人遭獵第169項農村發展及水土保持署及所屬760萬元遭獵第170項農業試驗所及所屬990萬5千人遭獵第171項林業試驗所588萬3千人遭獵第172項水產試驗所1318萬3千人遭獵第173項蓄產試驗所及所屬494萬4千人遭獵第174項
transcript.whisperx[34].start 2079.182
transcript.whisperx[34].end 2088.768
transcript.whisperx[34].text 收益研究所1451萬1千人招列第175項農業藥物試驗所167萬5千人招列第176項生物多樣性研究所107萬6千人招列第177項茶集飲料作物改良場505萬5千人招列第178項種苗改良繁殖場62萬5千人招列第179項達人區農業改良場189萬4千人招列第180項
transcript.whisperx[35].start 2102.276
transcript.whisperx[35].end 2115.684
transcript.whisperx[35].text 苗栗區農業改良廠992,000人召列第181項台東區農業改良廠495,000人召列第182項台南區農業改良廠3141,000人召列第183項高雄區農業改良廠261,300人召列第184項花園區農業改良廠565,000人召列第185項台東區農業改良廠104,300人召列第186項漁業暑期所屬2,245,300人召列第187項
transcript.whisperx[36].start 2132.214
transcript.whisperx[36].end 2150.859
transcript.whisperx[36].text 動物植物防疫檢驗署及所屬129,000人召列 第88項農業金融署無列數 第189項農糧署及所屬1,018萬人召列 第190項農田水利署30萬人召列 第191項農業科技園區管理中心無列數 二 稅務部分第16款農業部主管 第1項農業部1,146億4915萬2千人召列 本項通過決議127項
transcript.whisperx[37].start 2156.42
transcript.whisperx[37].end 2161.966
transcript.whisperx[37].text 第二項 林業及自然保育署及所屬105億3394萬3千人遭獵本項通過決議30項第三項 農村發展及水土保持署及所屬104億844萬5千人遭獵本項通過決議17項第四項 農業實驗所
transcript.whisperx[38].start 2171.377
transcript.whisperx[38].end 2172.057
transcript.whisperx[38].text 第五項第六項第七項
transcript.whisperx[39].start 2193.829
transcript.whisperx[39].end 2207.22
transcript.whisperx[39].text 農業藥物試驗所7億4592萬5千人招列本項通過決議兩項第十項食物多樣性研究所2億8851萬5千人招列第十一項茶集飲料出入改良廠2億5100升8萬1千人招列本項通過決議一項
transcript.whisperx[40].start 2208.641
transcript.whisperx[40].end 2214.268
transcript.whisperx[40].text 第十二項 中苗改良紡織廠2億4979萬8千元造列第十三項 臺灣區農業改良廠3億3千550萬9千元造列第十四項 北海區農業改良廠1億9千081萬7千元造列第十五項 臺中區農業改良廠3億735萬3千元造列
transcript.whisperx[41].start 2226.664
transcript.whisperx[41].end 2231.668
transcript.whisperx[41].text 第16項台南區農業改良廠3億2千021萬5千元遭獵第17項高雄區農業改良廠2億7千775萬2千元遭獵第18項花園區農業改良廠2億8千283萬6千元遭獵第19項台東區農業改良廠1億8千865萬元遭獵第20項漁業暑期所屬83億7千974萬1千元遭獵本項通過決議31項第21項
transcript.whisperx[42].start 2253.587
transcript.whisperx[42].end 2261.674
transcript.whisperx[42].text 動植物防疫檢疫署及所屬30億5097萬7千元造列本項通過決議26項第22項農業金融署6億6719萬5千元造列本項通過決議10項第23項農糧署及所屬45億9716萬6千元造列本項通過決議22項第24項農業金融水利署原列110億3733萬
transcript.whisperx[43].start 2276.325
transcript.whisperx[43].end 2287.335
transcript.whisperx[43].text 7000元出第五目非營業特種基金627820萬元佔照列是所屬非營業特種基金審議確定暫行調整外基金照列本項通過決議12項第25項農業科技園區管理中心41074萬元照列第27款直轄市及縣市政府第7項一般性補助款
transcript.whisperx[44].start 2294.421
transcript.whisperx[44].end 2320.764
transcript.whisperx[44].text 農業部主管26億3721萬5千元照列三有關正式別稅出預算隨同以上機關別審查結果調整二繼續審查115年度中央政府總預算案附屬單位預算分業部分關於農業部主管農業作業基金農田水利事業作業基金農業特別收入基金及農民退休基金決議令定期繼續審查主席宣告本次會議通過決議文字授權主席及議事委員整理散會宣讀完畢
transcript.whisperx[45].start 2324.531
transcript.whisperx[45].end 2333.698
transcript.whisperx[45].text 好 我們繼續進行討論事項 請宣讀討論事項 一 繼續審查本院委員吳立華等17人擬據土石災區法第3條條案修正草案二 本院委員黃磷等36人擬據土石災區法第3條及第14條條案修正草案
transcript.whisperx[46].start 2341.184
transcript.whisperx[46].end 2364.766
transcript.whisperx[46].text 3.本院委員邱映英等21人,委員賴瑞榮等19人,分別擬據土石採取法部分條件修正草案等2案4.本院委員許智傑等31人,委員柯之恩等19人,委員陳廷輝等16人,委員丁守中等16人,分別擬據土石採取法第36條條件修正草案等4案5.本院委員邱政軍等24人擬據土石採取法第36條,第38條及第39條條件修正草案6.本院
transcript.whisperx[47].start 2367.369
transcript.whisperx[47].end 2370.078
transcript.whisperx[47].text 本院臺灣民政黨黨團理局土石採取法第36條、第38條及第41條提案修正長案
transcript.whisperx[48].start 2373.993
transcript.whisperx[48].end 2398.197
transcript.whisperx[48].text 二審查一行政案行政審議本院委員齊曉菁等16人委員黃豪威等19人委員廖偉祥等21人分明拟據土石採取法第36條條案修正草案等4案二本院委員林健吉等17人拟據土石採取法第36條第38條及第39條條案修正草案三本院委員鄭天才等16人拟據土石採取法第3條及第14條條案修正草案宣布完畢
transcript.whisperx[49].start 2402.145
transcript.whisperx[49].end 2428.27
transcript.whisperx[49].text 好 那我介紹一下 在場委員有鍾嘉斌委員然後林倩琦委員那我們這個列席的官員有經濟部常務次長賴次長在地質調查及礦業管理中心主任徐明宏水利署副署長陳建成產業發展署副署長陳國軒產業營區管理局局長楊志清
transcript.whisperx[50].start 2429.701
transcript.whisperx[50].end 2435.244
transcript.whisperx[50].text 國土管理署檢證視察甄麗儀環境管理署署長許振雄原住民族友人會經濟發展處副處長張憲良在法務部調避斷屍檢察官黎智齊
transcript.whisperx[51].start 2461.596
transcript.whisperx[51].end 2488.188
transcript.whisperx[51].text 好 那本日議程排列審查土石採取法部分條文修正草案這一案那本案所以於4月23號詢答結束但因行政院跟委員提案版本共6案故於今日會議再次詢答後併案的一個處理那我們現在請這個提案委員說明提案要職我們有請林倩琦委員說明提案要職
transcript.whisperx[52].start 2495.459
transcript.whisperx[52].end 2511.67
transcript.whisperx[52].text 主席謝謝趙偉還有我們所有的副院同仁本案本席針對土石採取法第36條、38條、39條提出修正那亦支持第三條目的是在於強化非法採取土石行為
transcript.whisperx[53].start 2512.41
transcript.whisperx[53].end 2541.779
transcript.whisperx[53].text 是管理與阻嚇那麼補足現行法制對陸域的這個非法採取土石行事責任不足的問題那麼今年來呢那個非法採取棄置土石的案件都常常發生了部分也更涉及了大規模及集團性的不法行為那對於環境生態水土保持及公共安全都造成重大的憧憬那麼現行第36條呢對於沒有經過可採取土石者
transcript.whisperx[54].start 2543.399
transcript.whisperx[54].end 2562.945
transcript.whisperx[54].text 僅處罰新台幣100萬元以上到500萬元以下的罰緩那麼按日連續處罰的金額也偏低對於大型集團性的不法行為而言違法的成本仍然不足因此本案第一項修正的重點是將未經許可採取土石之罰緩提高並將為依現期整複者
transcript.whisperx[55].start 2567.486
transcript.whisperx[55].end 2583.704
transcript.whisperx[55].text 至按日连续处罚的同步也提高那以提升实质嚇阻力那么第二个部分呢是现行法仅就内水领海以及特定离岛水域非法采取土石者设有刑责
transcript.whisperx[56].start 2584.324
transcript.whisperx[56].end 2613.704
transcript.whisperx[56].text 但是陸域的非法採取土石如果造成了環境污染還有水土流失跟毀損水土保持的設施甚至涉及棄置營建剩餘土方或廢棄物那對公共安全的危害同樣是很重大因此本案也增訂了相關的刑事法則如果產生了災害還有致人死亡或重傷時也要做加重
transcript.whisperx[57].start 2614.544
transcript.whisperx[57].end 2636.55
transcript.whisperx[57].text 以完整整個責任體系第三個部分是配合第36條法則來同步提高了第38條跟第39條法環的額度讓整個法則結構一致但是本席在這邊要特別提醒對於原住民區域及偏鄉應該考量國家形成前之文化脈絡
transcript.whisperx[58].start 2638.05
transcript.whisperx[58].end 2652.456
transcript.whisperx[58].text 那麼還有相關的這個文化習癖那應該考量以習慣法的這個方式來同理之所以本案最主要是針對惡性重大違規行為來建立相對的應責任機制讓違法者不能將破壞國土環境
transcript.whisperx[59].start 2656.698
transcript.whisperx[59].end 2676.748
transcript.whisperx[59].text 視為低成本高獲利的商業模式以維護國土的保育環境安全及公共利益但是對於原鄉衝擊的這個樣態應該也要予以支持尤其是在第三條的這樣一個提案當中那也請各位委員來支持本案謝謝好 謝謝林建啟委員
transcript.whisperx[60].start 2682.639
transcript.whisperx[60].end 2705.536
transcript.whisperx[60].text 那接下來的話我們請經濟部內次長進行報告我們報告時間五分鐘 謝謝好 等一下因為在場這個本委委員人數達三人請問各位同仁上次會議議事錄有沒有錯誤好 沒有錯誤 議事錄確定好 我們現在請次長
transcript.whisperx[61].start 2706.881
transcript.whisperx[61].end 2724.936
transcript.whisperx[61].text 主席各位委員各位女士先生今日奉邀列席貴人會就繼續審查委員吳立華等17人凝聚土石採取法第三條修正案委員黃仁等36人凝聚土石採取法第三條及14條的修正案及委員邱映穎等21人凝聚
transcript.whisperx[62].start 2725.917
transcript.whisperx[62].end 2745.088
transcript.whisperx[62].text 土石財區法條文的修正案賴瑞文委員等19人擬拒土石財區法條文修正案及許智傑31人擬拒土石財區法36條修正草案柯志文委員等19人擬拒土石財區法36條修正草案邱政軍委員等24人擬拒土石財區法36條38條39條修正案委員陳廷輝等16人擬拒土石財區法36條修正案
transcript.whisperx[63].start 2752.752
transcript.whisperx[63].end 2769.229
transcript.whisperx[63].text 委员丁水中等16人拟据土石财区法第36条修正案台湾民众党团拟据土石财区法36条38条41条修正案及审查行政院函请审议土石财区法36条条文修正案林倩琪委员等17人
transcript.whisperx[64].start 2770.39
transcript.whisperx[64].end 2771.431
transcript.whisperx[64].text 代表本部就以下的報告
transcript.whisperx[65].start 2797.364
transcript.whisperx[65].end 2824.652
transcript.whisperx[65].text 首先有關於行政院版土石採取法第36條修正草案對於國內發生不法行為是謀取私利大規模非法採取土石造成環境景觀嚴重的破壞所遺留的這個坑洞影響的環境衛生及公共安全本部針對陸域未經許可採取土石行為以嚴懲不法謀利強化環境恢復維修法核心女巨土石採取法36條修正草案
transcript.whisperx[66].start 2825.212
transcript.whisperx[66].end 2848.838
transcript.whisperx[66].text 由行政院含用大院審議那本次修正的重點本次的處罰行為等不僅限於實際從事土石採取行為者也包含所參與的地主、雇主、駕駛及相關等人均得依本法分別處理本次若討論修正之後預期可以達到精準打擊、阻絕不法、環境恢復等三大的效益有關
transcript.whisperx[67].start 2849.958
transcript.whisperx[67].end 2863.774
transcript.whisperx[67].text 精準打擊不法模擬的部分除將未經許可採取土持罰款上限提高至新台幣1000萬元以外針對意圖模擬之違法行為人證定處5年以下有期徒刑並得科最高新台幣5000元
transcript.whisperx[68].start 2864.975
transcript.whisperx[68].end 2883.636
transcript.whisperx[68].text 华金如因违法行为致人死伤加因其且将作处罚最高可处无期徒刑并得并科最高新台币1亿元的华金有关于有效阻绝不法的部分查处机关裁罚使得当场即使没入违法行为所使用的机器设备载运车辆
transcript.whisperx[69].start 2884.817
transcript.whisperx[69].end 2912.686
transcript.whisperx[69].text 對於意圖營利之違法行為,其使用的積蓄設備及載運車輛,不論其所有權屬,一律強制沒收、嚇阻違法,防止再度流入不法的用途。此外,本次修正案確立了整戶規範,促進環境安全恢復。明定整戶過程不得使用廢棄物、組結、二次污染。有關於大院委員損益區的修正案,本部的意見如下。首先,
transcript.whisperx[70].start 2913.496
transcript.whisperx[70].end 2920.647
transcript.whisperx[70].text 就修正條文第三條的部分 委員基於原住民族採取土石的基本權益保障 增訂了
transcript.whisperx[71].start 2922.526
transcript.whisperx[71].end 2949.838
transcript.whisperx[71].text 下列三項免申請土石採取稀可的情形本部競表支持但是請建議參照原住民基本法以個人為權利的保障主體並參照水利法42條條文的體例援引完整法源以更增明確另建議參酌原住民族傳統建築實際有石板屋、地下屋等形式對於採取土石之種類不以石板為限
transcript.whisperx[72].start 2951.85
transcript.whisperx[72].end 2972.592
transcript.whisperx[72].text 並建議著修相關的文字 針對修正條文第14條的部分建議落實原住民基本法的精神之外 建議參照該條文的這個精神以公有土地為適用範圍 針對修正條文第36條的部分有關於行政和法法 那現行的採取未經許可預量
transcript.whisperx[73].start 2972.992
transcript.whisperx[73].end 3000.307
transcript.whisperx[73].text 立方公辭以錯不文法而受罰其罰款的下限以為同類型的罰款的最重罰所以建議參採行政院版最增進罰者的部分行政院版以規劃意圖營利為基本的刑者的條件並對量身傷害致人重傷致人死亡等三種情境刻意相應之加重處罰此部分與部分委員的提案相同建請委員支持行政院版
transcript.whisperx[74].start 3001.047
transcript.whisperx[74].end 3005.715
transcript.whisperx[74].text 那至於在限期旅行的義務部分由於直轄縣市政府限期
transcript.whisperx[75].start 3006.889
transcript.whisperx[75].end 3031.765
transcript.whisperx[75].text 令行為人整戶及清除其設施的職選行政院版考量實際的執行能力得由現行的得改為應得這個部分行政院版令規劃對於違法的這個長期整戶使用的材料有相關的方法這個事後我們會來會同相關主管機關來訂定那此外處罰地主明知違法採取而不通報駕駛及運輸業者的部分
transcript.whisperx[76].start 3036.772
transcript.whisperx[76].end 3054.463
transcript.whisperx[76].text 在刑法的二十八條三十條已經針對共同時薪的範圍教唆或是幫助犯予以處罰所以參與的這個地主、僱主、駕駛及相關人等經得以本法分別處罰建議不需要再特別的訂定那以上終請委員支持行政院辦
transcript.whisperx[77].start 3055.563
transcript.whisperx[77].end 3081.469
transcript.whisperx[77].text 至於修正條文第31條跟41條的部分那由於合法的土石採取法的這個處罰跟管理的這個行為我們現在已經有機制了那倘於有違規的使用最終可以取消其申請許可所以建議參照現行的條文感謝大委員委員對於土石採取法諸多的修正的建議以上報告並祝各位委員身體健康萬事如意謝謝好
transcript.whisperx[78].start 3085.612
transcript.whisperx[78].end 3101.165
transcript.whisperx[78].text 那現在進行詢答那因為我們之前已經有關本次會議各部會所提書面報告請委員自行參閱並刊登公報那現在進行詢答因為我們上次已經詢答過一次那是應應行政院新的版本新提案
transcript.whisperx[79].start 3101.966
transcript.whisperx[79].end 3116.413
transcript.whisperx[79].text 那所以呢我們每位委員的話發言時間本會委員4分鐘必要時延長1分鐘非本會委員3分鐘上午10點零分截止發言登記首先請登記第一位的中嘉賓委員發言
transcript.whisperx[80].start 3130.723
transcript.whisperx[80].end 3158.857
transcript.whisperx[80].text 主席在場的委員先進列席的政府機關省長官員會長共同夥伴媒體記者女士先生先謝謝主席再次因應著行政院版還有委員的信任版本人讓我們有機會再次的詢答那我們對這個議題會充分的來加以討論當然因為這個議題前面有些問題也已經討論過了所以今天也會延續到一些新的議題所以我們就有請經濟部的賴次長地調中心的徐主任以及
transcript.whisperx[81].start 3160.117
transcript.whisperx[81].end 3187.973
transcript.whisperx[81].text 內政部國土署的真檢論視察那麼請園區管理局的楊局長請準備委員好次長好其實這個問題您再熟悉不過過去您就是主管經濟部土著採取法當中最重要的水利署好那麼我們上次就看到行政院版的這裡講出了精準打擊阻斷不法我們看到行政院版跟其他在野黨的版本的最大差別
transcript.whisperx[82].start 3188.593
transcript.whisperx[82].end 3214.949
transcript.whisperx[82].text 在於呢你們的上限裁罰的罰還呢是上限是一千萬但是你們加了一個意圖盈利的話可以處以刑罰有期徒刑五年以下但是呢在其他災難版本呢樓地板從一百提高一千或兩千萬那麼上限呢從五千萬到一億不等請次長說明您認為對於嚴重盈利者我們處以刑責這是必要的嗎
transcript.whisperx[83].start 3215.909
transcript.whisperx[83].end 3229.859
transcript.whisperx[83].text 這個當然是必要的我們要維護環境的這個部分那既然這樣的話行政裁罰的部分100萬到1000萬跟在的版本有這麼大的差異您說明一下樓地板的部分跟天畫板的部分為什麼採取100到1000
transcript.whisperx[84].start 3232.072
transcript.whisperx[84].end 3243.222
transcript.whisperx[84].text 跟委員說明我們這次為了在修法我們也請教法務部包括相關的檢察官我們認為二次修法這個部分不符合比例的原則
transcript.whisperx[85].start 3247.185
transcript.whisperx[85].end 3257.073
transcript.whisperx[85].text 樓地板一千萬兩千萬起跳呢因為只要有兩立方公尺我剛有報告過了他就有可能差好那我們就兩立方公尺本席在20年前擔任屏東縣副縣長在25年前擔任屏東縣長的局長秘書當時屏東縣政府
transcript.whisperx[86].start 3263.877
transcript.whisperx[86].end 3284.507
transcript.whisperx[86].text 牆內遭受到很多的土石採取就這張情況但是呢雖然我們盡力的打擊非法的盜亂採砂石但是我們發現有農民因為你說兩立方他就被裁罰那時候我記得一般的土地管制都是六萬起跳那時候呢好像已經調到一百萬起跳以至於那個農民發生了什麼情況您說明一下所以有一些的農民因為這個
transcript.whisperx[87].start 3290.888
transcript.whisperx[87].end 3307.28
transcript.whisperx[87].text 所以如果只是單純的兩立方以下就要面對到一百萬的裁罰這似乎過當吧我們原本的法規第三條的規定針對自用的部分就免於處罰
transcript.whisperx[88].start 3308.821
transcript.whisperx[88].end 3329.458
transcript.whisperx[88].text 所以我們針對於那意圖盈利的或是擴大的這個採取的這個行為我們希望來藉由這次的修法可以提高所以當年那個悲劇老農民因為受裁罰一百萬要去致敬那當時的兩立方民如果是致用就沒有問題了是好謝謝我們支持行政院版的裁罰謝謝往下看再來我們
transcript.whisperx[89].start 3330.999
transcript.whisperx[89].end 3352.805
transcript.whisperx[89].text 埋填廢棄物這個土石棄土的最大問題在於到亂採之後的砂石坑那個空間是更值錢的他可以請到這些廢棄物非法的廢物算是有毒的廢棄物那過去呢我們發現呢這些拋棄廢棄物的行為應該由行為人跟地主共同來承擔那現在我們看到在場版本說可以轉嫁給政府您覺得這合理嗎
transcript.whisperx[90].start 3353.665
transcript.whisperx[90].end 3381.023
transcript.whisperx[90].text 這完全不合理因為行為人可能藉此來規避他自己總負的責任事實上我知道過去的例子凡是意圖盜亂採土石的人他購買了農地他都用人頭去購買結果呢行為人沒有抓到地主要負責但是地主也無力去處理這些被盜亂採的有毒廢棄物所以造成地方這種很大的困擾你扣押也沒辦法那代執行也求償不回來所以應該嚴格的刻以誰責任刻以行為人嘛對不對是好來我們講往下看
transcript.whisperx[91].start 3383.365
transcript.whisperx[91].end 3408.243
transcript.whisperx[91].text 那麼至於說我們過去的經驗未經許可採取土石擦採取土石過去我們有發現採取土石大概有兩個作案工具第一個是輪車運輸第二個是挖掘工具輪車通常抓不到通常我們過去只要發現有意圖不法我們去抓跑掉了但是機具都棄置在現場地方政府當時因為限於我們的保管空間不足也沒有能力去加以所以我們做的方式就是它
transcript.whisperx[92].start 3408.883
transcript.whisperx[92].end 3435.355
transcript.whisperx[92].text 挖土機的面板拆下來就地就保管請問未來未經許可採取的土是殺死的我們的執行方式有哪些做法第一個是沒入第二個是說是意圖你沒入要保管然後就沒收了對啊沒入你要保管啊這個當然就要看說地方政府的所謂的執行能力那你們對於地方政府執行能力有辦法協議支持嗎過去我們針對河川殺死的數據很多河川的管理機關他自己有這些的戰事場
transcript.whisperx[93].start 3436.856
transcript.whisperx[93].end 3453.628
transcript.whisperx[93].text 但是每一個地方政府他的所有的管理的能力不一一組所以我們希望未來經濟部要密切去注意我們查扣之後你要沒錄或沒收這個保管的問題有沒有能力去負擔這要想辦法那往下看再下來我們現在就要土方的問題了為什麼要找地調所呢現在我們說國土署說什麼呢說我們這個土資氣方已經去平緩了有不合理的漲價我們都監控所以你們認為目前氣方只要付大概一千多塊錢土資漲就可以
transcript.whisperx[94].start 3467.158
transcript.whisperx[94].end 3493.606
transcript.whisperx[94].text 這個可是事實上市面上的行情如果我要雇人把挖方帶走啊要付的價格是三千五到四千跟土資場拿到的一千出頭是差距很大請問一下到底國土署你們所知道的情況是怎麼樣土方支援之前大概是一千六到兩千啊比土資場收的還多因為這包括開挖費運匯跟戰資費現在呢已經漲到四千了你們有監控到嗎
transcript.whisperx[95].start 3495.014
transcript.whisperx[95].end 3510.797
transcript.whisperx[95].text 更為報告因為這個業務是屬於另外一個組的部分不好意思OK今天我們不是採取土石採取嗎好請先回來那個次長這樣一樣都是您的範圍雖然那是內政部的範圍往下看其實目前現在營造業這內政部的問題你不要跟他講
transcript.whisperx[96].start 3512.258
transcript.whisperx[96].end 3541.098
transcript.whisperx[96].text 現在連續被施作土質黨他已經容量裝不下了戰器廠也不收如果他有場所他用太空包立竿沒有場所他就停工這是沒有辦法去化的施土怎麼處理這個你要跟內政部去講一下往下看另外還有什麼問題他專探報告會去根據地質專探報告來處理剩餘土質方面的處理計畫但是一旦開挖可能這個土質它鬆軟之後它的鬆方比超過預估或它組成了
transcript.whisperx[97].start 3541.838
transcript.whisperx[97].end 3569.767
transcript.whisperx[97].text 內容不符合專案報告這時候他沒辦法取得土石的出土許可要停工經濟部知道嗎這個部分個別的工地都有一些相對的困難所以我們這次的修法裡面特別針對於整戶的部分除了強調不要使用廢棄土之外我們會會同相關的機關來訂定合理地道中心那剛剛講到的這個如果說土層不符專案報告怎麼辦出土沒辦法許可怎麼辦
transcript.whisperx[98].start 3571.092
transcript.whisperx[98].end 3583.431
transcript.whisperx[98].text 我們還是會按照規定 請他還是要繼續市長聽到了沒有還是要按照規定 所以想辦法去解決這個部分我們必須幫實況去做反應請經濟部密切注意最後呢 我必須要結束了來 那個 楊局長
transcript.whisperx[99].start 3586.874
transcript.whisperx[99].end 3607.663
transcript.whisperx[99].text 這個上三月的時候問過了何次長關於產創條例當中我本席的修法第一我提升10%到15%這個我們可以討論但最重要的是在46條之一我把最後第三款拿掉還有即出售員工新建住宅致用請問你們的態度是什麼
transcript.whisperx[100].start 3608.772
transcript.whisperx[100].end 3637.434
transcript.whisperx[100].text 是 我們支持委員這樣的一個態度 我們後續也會來安排相關法條的調整好 那麼賴市長 雖然這是何市長的業務 請你督導下去我希望趕快管理局把過去 不只是你們所屬園區過去根據產創條例 39條跟40條之一它只要園區內的原來的土地後來有受供員工新建住宅之使用以及出售供新建住宅之使用的現況調查給本席 可以嗎
transcript.whisperx[101].start 3638.197
transcript.whisperx[101].end 3640.542
transcript.whisperx[101].text 市長你承諾大概多久可以給本席
transcript.whisperx[102].start 3647.291
transcript.whisperx[102].end 3668.673
transcript.whisperx[102].text 兩個禮拜兩個禮拜沒有問題我給你一個月的時間好往下看最後因為主席站起來了最近我們看到昨天的經濟日報的社論他說台灣要打造戰略科技產業鏈這是我們召委主席很關心的那麼目前外界提出的是修改產業創新條例將國防科技AI半導體低軌衛星還有無人機以及資安和居民兩用的科技納入
transcript.whisperx[103].start 3669.274
transcript.whisperx[103].end 3676.411
transcript.whisperx[103].text 投資租稅獎勵的範圍請問目前經濟部有沒有構想就這個方向上來研擬對於產創條例進行必要的修正
transcript.whisperx[104].start 3679.802
transcript.whisperx[104].end 3701.215
transcript.whisperx[104].text 只要符合這個部分,它只要轉型,現有的研發的這個都有好,那最後因為主席在講,我先講兩個要求第一個就剛剛已經提了,一個月內你們就剛剛所要求提出一個書面報告本席第二個本席往前看那一頁本席在上週就提出了一個無人載具產業創建特別條例的草案
transcript.whisperx[105].start 3702.295
transcript.whisperx[105].end 3717.343
transcript.whisperx[105].text 這個創建特別條例呢 不是產創條例因為是一個暫行的條例它只有期限的 本期是一定五年就可以 所以要特別條例它是創建一次性的 不是產業創新要持續性的但是也有認為啊 既然要去開創這個無人載具的產業應該從長期納入產業創新條例市長你的看法怎麼樣 你是認為
transcript.whisperx[106].start 3725.427
transcript.whisperx[106].end 3750.357
transcript.whisperx[106].text 為了要開創一個無人載具的產業我們是用一次性的特別法去創建它還是納入到持續性的作用法讓廠創條例把它納入範圍目前的法規主要是可以適用的話因為產業的發展非常快我們盡量來輔導廠商那如果是有需要特別的這個法制的來協助的部分我們經濟部在做研究我跟你說一個差別啦如果放在廠創條例的話
transcript.whisperx[107].start 3751.798
transcript.whisperx[107].end 3774.531
transcript.whisperx[107].text 涉及到其他部位的作用法你們要排除呢你們要透過行政院內部很長的時間去協商如果是給你們經濟部主管這個特別條例你們就可以用一個這樣有期限的特別條例在該期限內排除其他對於無人機無人載具產業所受到限制的空域海域的傳播法還有民用航空法可以做必要的暫時的解除這樣的束縛
transcript.whisperx[108].start 3775.191
transcript.whisperx[108].end 3803.63
transcript.whisperx[108].text 但是等到特別條例屆滿之後再回歸到各目的事業主管機關的做法去管理這是一個參考的方向但是為了尊重經濟部所以我希望說好 下一頁您可以承諾將我們目前無人載具相關的產業納入產業創新條例在一個月內提出一個書名報告給本席嗎當然我希望你們參考本席的特別條例的草案遵照辦理好 謝謝好 超時五分鐘我們那一段會長很久
transcript.whisperx[109].start 3805.722
transcript.whisperx[109].end 3809.947
transcript.whisperx[109].text 好 謝謝主席 請那個賴次長跟法務部的李檢察官還有法務部
transcript.whisperx[110].start 3827.586
transcript.whisperx[110].end 3835.415
transcript.whisperx[110].text 我先請教這個在土石採取法還沒有修法完成前的時候那怎麼樣來嚇阻這樣的行為在地方上來發生
transcript.whisperx[111].start 3836.932
transcript.whisperx[111].end 3866.29
transcript.whisperx[111].text 有沒有什麼相關的一些作為目前雖然說我們加強大案採了這個防治的方案但是我們發現說啊過去的違法的行為那如何來有效的遏止我們也拜訪了相關的地檢署正辦的檢察官我們認為藉納入相關刑法的這個要求對於嚇阻的作用是有更好那這段時間呢在訪還沒有通過之前的話有沒有加強一些所有的作為我們除了跟各個部會加強從空中或是平常的這個巡查之外
transcript.whisperx[112].start 3866.95
transcript.whisperx[112].end 3891.465
transcript.whisperx[112].text 對於現下近幾年所發生的這七十幾處的部分我們加強了監管相關的作為好 李啟財官我會請教一下法務部有沒有什麼樣積極的作為目前有熱圖水土保持法及廢棄物清理法相關都有刑事的處罰規定如果符合的話都會按照個案來處理所以有加強在做一些偵查偵辦的部分嗎
transcript.whisperx[113].start 3892.516
transcript.whisperx[113].end 3911.487
transcript.whisperx[113].text 當然 如果有刑事犯罪的話我們一定是盡力偵辦 謝謝好 謝謝 次長我也希望這一塊我們盡快能夠三讀通過之後然後盡快能夠來有效的嚇阻這樣的不法的行為好 謝謝文恩支持我想很多的方向其實我跟院裡面是一致的只是差別在於那個上限的部分那當然我是把
transcript.whisperx[114].start 3912.487
transcript.whisperx[114].end 3935.138
transcript.whisperx[114].text 舉得更直接啦因為我看到有很多獲利空間有超過3億的一個空間那我們直接把它寫上的話其實給予嚇阻上將來法官在相關的裁量上會更加的明確啦當然我也知道說你有說有特殊狀況有有這個需要他一樣可以增加但是當然這有不同一些見解啦不過到時候一起再討論細部討論可以再做一些處理
transcript.whisperx[115].start 3936.978
transcript.whisperx[115].end 3964.193
transcript.whisperx[115].text 罰款的部分我們建議參考比例原則對於意圖營利的部分除了行者之外可以加重來罰款最高還可以達到1億元以下的這個部分所以我們這個是院版的一個金額但實際上面是他獲益有超過3億以上所以我就說這個細節部分大家再來討論看看怎麼來處理只要能夠有效的嚇阻都會是個好方法這個細節我們待會再來討論那我先請教一下其實大家也很關心扣經業者
transcript.whisperx[116].start 3965.854
transcript.whisperx[116].end 3989.412
transcript.whisperx[116].text 傳產業者這些的這段時間那個法務部警察官先請回來謝謝那個232部分我們在5月27號也有再爭取到一些好的條件但是扣金業者跟相關的這些的傳統業者還是需要很大的支持那我也知道現在政府包括賴總統包括經濟部也有準備了2200億要來支持傳產有沒有想不得一些細部的規劃
transcript.whisperx[117].start 3990.593
transcript.whisperx[117].end 4015.803
transcript.whisperx[117].text 目前我們經濟部除了針對於包括相關的所謂的產業諮詢委員會包括所謂的金屬跟五金的部分我們也在籌組相關的這個福島的這個聯盟有規劃了嗎因為這一波不管是基金成長率或者是股市的狀況很多人還是覺得對於傳產是比較還是需要更多的支持的所以也希望經濟部盡快把這個方案提出來2200億應該是確切的
transcript.whisperx[118].start 4019.864
transcript.whisperx[118].end 4021.213
transcript.whisperx[118].text 那個說明一下好不好
transcript.whisperx[119].start 4023.792
transcript.whisperx[119].end 4048.318
transcript.whisperx[119].text 現在目前的部分因為在這個上個月那美國針對232對於所謂的相關的這個稅率對於我們是有利的所以我們加注這個契機除了促進產業福島轉型之外擴大所謂的產業鏈的部分不會確定一下 據我所知經濟部其實準備了剛剛總統提出來的一千億包括原來的八百億然後包括原來既有本來就要做的四百億的部分總數會有兩千兩百億是嗎 沒錯吧
transcript.whisperx[120].start 4050.658
transcript.whisperx[120].end 4073.273
transcript.whisperx[120].text 目前我們規劃有一些要協助中小企業的部分這個條例差不多一千億你也看到媒體報紙也有做那過去的部分不管是任性條例的四百多億我們也持續對 四百多億加上傳產的八百億的部分那加上現在賴總統最新宣示的一千億我也希望這些錢能夠用在刀口上協助傳產能夠有給他們更大的一個支持謝謝
transcript.whisperx[121].start 4075.234
transcript.whisperx[121].end 4081.727
transcript.whisperx[121].text 另外我請教一下科技業者今年2026年美國鳳凰城的一個螺絲展這個部分上次有拜託支持這個沒有問題吧
transcript.whisperx[122].start 4085.274
transcript.whisperx[122].end 4103.765
transcript.whisperx[122].text 這沒有問題所以會有一個台灣款剛好也是擴建了很好的機會包括我們的這次的232的一些談判的結果之後那美國的市場也是我們積極要開拓的一個市場那我希望經濟部要加大這個支持的力道所以這個經費是沒有問題嗎補助沒有問題嗎沒有問題會補助多少經費依照他的這個申請的話我們來從優來補助我記得好像是800還是1000
transcript.whisperx[123].start 4112.489
transcript.whisperx[123].end 4127.684
transcript.whisperx[123].text 市政府也補助了一千萬我也希望經濟部在這一塊的力道也要加重對於傳統對扣經業者給予他們更多的支持他們正在辛苦當中但是未來是有一波好的機會的那我們希望把握住這樣的機會讓我們的傳產讓我們的扣經業者能夠永續的發展
transcript.whisperx[124].start 4132.068
transcript.whisperx[124].end 4154.46
transcript.whisperx[124].text 那再要請教一下高雄其實現在在整個推動國家級的算力及應用中心那這一塊包括也有跟院長也有在總諮詢有提過的這一塊目前的規劃是怎麼樣這個部分其實我也跟高雄市的副市長我們針對於高雄市未來的發展包括算力中心也有在規劃也結合現在新AIS的這個十大建設
transcript.whisperx[125].start 4155.58
transcript.whisperx[125].end 4180.16
transcript.whisperx[125].text 在進行之中那高雄有很好的這個環境資源的環境我們我們覺得在這個部分他形成一個產業的生態系跟聚落室市長這個定案了嗎確定了嗎這個部分還有跟國科會的一些互相補助我希望進一步加快了好不好讓因為現在算力高雄電力是充足的吼那還有包括所有的這個產業鏈也都拉動我希望國家級的
transcript.whisperx[126].start 4181.901
transcript.whisperx[126].end 4198.533
transcript.whisperx[126].text 算力及應用中心盡快的去成立起來讓高雄在這塊能夠有持續好的一個發展我們透過跨部會的部分來協助高雄市長請市長在經營部再加油啦好 謝謝好 謝謝賴樂隆委員接下來我們有請張家俊委員
transcript.whisperx[127].start 4207.694
transcript.whisperx[127].end 4207.854
transcript.whisperx[127].text 請經濟部賴次長
transcript.whisperx[128].start 4218.035
transcript.whisperx[128].end 4218.155
transcript.whisperx[128].text 主席
transcript.whisperx[129].start 4240.757
transcript.whisperx[129].end 4244.68
transcript.whisperx[129].text 工部長也親自在現場給予這個明確的承諾說會全力的來協助這兩個園區那這對雲林未來的發展還有創造在地青年就業機會有決定性的一個影響那所以今天本席想要跟次長討論的就是針對湖北產業園區面積是29.75公頃那定位主推是
transcript.whisperx[130].start 4267.814
transcript.whisperx[130].end 4270.355
transcript.whisperx[130].text 半導體的關聯產業進駐那我想請教次長從經濟部推動國家高科技產業的這個佈局當中你認為湖北產業園區的這個開發包括對雲林在地的發展對國家整體的半導體戰略有什麼樣實質的幫助嗎
transcript.whisperx[131].start 4289.219
transcript.whisperx[131].end 4317.175
transcript.whisperx[131].text 首先經濟部在推動我們產業的升級的部分對應六大生活圈的部分至於你委員所剛剛垂詢的福委產業園區那經濟部從基本的所謂的產業的聚落形成的條件不管是土地啦水跟電的這個部分經濟部會來支持但是我們也理解說這個部分還有包括主責的這個單位還有其他的這個部會有一些相關的意見在他們這個意見可以支持之下我們會
transcript.whisperx[132].start 4318.315
transcript.whisperx[132].end 4338.022
transcript.whisperx[132].text 跟地方政府來協力來推動好 謝謝次長那因為這個湖北園區它有非常無可取代的位置優勢它不只是僅僅在中科湖北園區旁邊能夠發揮群聚效益之外
transcript.whisperx[133].start 4338.482
transcript.whisperx[133].end 4345.027
transcript.whisperx[133].text 更重要的是他離雲林高鐵站非常的近那交通極為便利那就像你剛剛說的我們現在目前經濟部非常的支持不管是水電土地都大力的來同意來支持那但是呢包括我們這個農業部農業部在審查的時候他就希望說能夠有
transcript.whisperx[134].start 4364.902
transcript.whisperx[134].end 4377.258
transcript.whisperx[134].text 的公共利益那其實這個雲林的發展有重大的公共利益也希望市長能夠認同也支持那為了迎接這個半導體這個產業進駐雲林縣也做了萬全的準備那當然剛剛提的水電
transcript.whisperx[135].start 4383.866
transcript.whisperx[135].end 4411.54
transcript.whisperx[135].text 等等經濟部都大力的支持雲林縣政府那現在可以說是萬事俱備只欠東風唯一卡關的就是農地變更那這個是不是能夠由經濟部橫向溝通這個農業部能夠表達需求說其實這個變更是符合公共利益的那是不是有可能由經濟部也來協助溝通呢
transcript.whisperx[136].start 4412.873
transcript.whisperx[136].end 4429.72
transcript.whisperx[136].text 謝謝委員剛剛提出來這個事情關鍵的所在經濟部絕對會跟雲林縣政府來看看雲林縣政府針對這些部會所提的意見是否可以適度的回應來加速我們國家整體的產業的發展
transcript.whisperx[137].start 4431.886
transcript.whisperx[137].end 4435.009
transcript.whisperx[137].text 好 那當然由經濟部主導的像包中產業園區目前也有一些地方的意見包括說怎麼樣讓這個環境能夠永續讓農業用水也不會被等於是被取代
transcript.whisperx[138].start 4449.781
transcript.whisperx[138].end 4468.448
transcript.whisperx[138].text 等等還有空氣的部分還有說是不是有污染的部分呢那這個部分呢民眾有疑慮的也請經濟部要能夠一一的來釐清讓民眾能夠安心的 歡喜的接受包中產業園區的這個推進那這個部分不曉得
transcript.whisperx[139].start 4472.97
transcript.whisperx[139].end 4495.251
transcript.whisperx[139].text 這現在已經在環品的實施審查中剛剛委員所詢問的問題我相信在環品的委員會針對這個問題就科學性的來去做一些論斷那當然若是在這些問題所可以得到一個釐清的狀況之下的話或許在這個案子的推動上面進程就可以去加速
transcript.whisperx[140].start 4495.811
transcript.whisperx[140].end 4520.857
transcript.whisperx[140].text 是那這個部分我還是想要代表我們的鄉親表達一下就是說能夠用現在最先進最現代化的一些科技而不是要用比較舊的方式因為既然是一個新的產業園區他們還是希望說經濟部不管是環境部等等也好都能夠為我們雲林縣思考就是最先進最好的
transcript.whisperx[141].start 4521.337
transcript.whisperx[141].end 4543.421
transcript.whisperx[141].text 最優良的這個現代化技術那我們也希望雲林縣能夠朝向農工商高科技並進這樣子的方向來前進不只提供就業機會也能夠讓我們的鄉親包括我們在地的青年有選擇的空間那這一點也希望經濟部能夠持續的大力支持 謝謝好 謝謝張家俊委員接下來的話我們請陳廷輝委員質詢 謝謝
transcript.whisperx[142].start 4560.026
transcript.whisperx[142].end 4562.529
transcript.whisperx[142].text 我們請市長你要不要休息一下
transcript.whisperx[143].start 4569.005
transcript.whisperx[143].end 4586.413
transcript.whisperx[143].text OK嗎可以喔好好我們請賴次長賴委員早安謝謝次長我想今天的修法其實我們是希望如果用中央跟地方做一個跨部會加強查緝而且我們要有武器
transcript.whisperx[144].start 4587.193
transcript.whisperx[144].end 4606.989
transcript.whisperx[144].text 否則查緝完之後我們的法不夠的嚴謹會造成大家好像沒有辦法有法可以依循所以這一次其實我們希望中央跟地方共同跨部會在修法的部分就是說我們希望能夠包含
transcript.whisperx[145].start 4608.47
transcript.whisperx[145].end 4637.379
transcript.whisperx[145].text 這個整個盜採殺死的這個行為人可以兼顧到地主、雇主、駕駛還有相關人都要予以重罰所以這個部分應該是我們的共識吧對我們現在在採取的只要意圖盈利或是加重的一個所謂的犯罪事實的部分那除了行為人之外我們依照刑法的話其實包括共同的幫助犯、教唆犯這些我們都已經納入
transcript.whisperx[146].start 4637.859
transcript.whisperx[146].end 4655.279
transcript.whisperx[146].text 所以全部只要在這個倒採殺死的相關人等不論是地主 僱主 駕駛 或是有一些牽扯的我們都有法 在這次修法之後他們是必須被連帶相關做處分的 對不對
transcript.whisperx[147].start 4658.57
transcript.whisperx[147].end 4672.295
transcript.whisperx[147].text 對 這個在法的這個行政院版裡面都有提供這些所謂的規範那未來各個 個別的案件就有個別的甄別的事實那檢察官會依照他的偵查的這個事實來予以去量處
transcript.whisperx[148].start 4673.154
transcript.whisperx[148].end 4685.739
transcript.whisperx[148].text 我們的修法也是這個樣子啦我的修法的版本其實一直在等待行政院院版進來那今天院版進來之後我們希望趕快讓他無爭議的通過
transcript.whisperx[149].start 4688.38
transcript.whisperx[149].end 4703.306
transcript.whisperx[149].text 然後讓我們的中央跟地方就有法可循那麼相關的法院檢察官他們也可以做相關的懲處這部分希望能夠今天趕快無異議的無爭議的通過
transcript.whisperx[150].start 4706.988
transcript.whisperx[150].end 4732.366
transcript.whisperx[150].text 那市長因為上個禮拜我們也到我的辦公室針對了我們的整個微電網的問題還有民間防災救災的一些資料庫的建立那我想問的就是說在於我們微電網的部分現在我們政府的期待跟目標值到底如何的一個鋪陳跟規劃
transcript.whisperx[151].start 4734.964
transcript.whisperx[151].end 4746.411
transcript.whisperx[151].text 委員對於救災的這個經驗相當的這個充足不管是過去江津溪的治理還有包括0823那去年丹納斯的時候我們看到雲嘉地區導斷了3000多根的這個電桿
transcript.whisperx[152].start 4749.059
transcript.whisperx[152].end 4764.053
transcript.whisperx[152].text 那這一切的電感要逐一的把它樹立起來需要很長的時間所以我們就提出了微電網的這個計畫那當然在丹納斯的這個預算裡面有8億元這8億元的部分我們希望就針對於首先就土省的套點
transcript.whisperx[153].start 4765.094
transcript.whisperx[153].end 4780.088
transcript.whisperx[153].text 只要說是因為是所謂的災害潛勢比較高的或是因為未來救災有需求收容的區域或是指揮的中心我們希望說藉由當地的這個微電網的建立可以避免說大電網當當
transcript.whisperx[154].start 4782.37
transcript.whisperx[154].end 4802.673
transcript.whisperx[154].text 需要修復的時候 不需要等候的時間 那可以減少民眾的一個不便 這是我們的目標而我們現在也積極的來籌辦除了丹納斯特別條例結束之後的中長期計畫 這個是我們的期待而我們也希望說 未來這個公共建設計畫可以整合民間的力量
transcript.whisperx[155].start 4803.444
transcript.whisperx[155].end 4825.021
transcript.whisperx[155].text 因為公私協力可以共創更好的雙贏之外社區的力量也是很重要的所以我們這個資源的部分我們剛剛委員有提到電力的資料庫的部分這當然台電有但地方政府有很充足的包括當地的水電行啊當地的所有的救災物資的資料這必須要把它串聯起來
transcript.whisperx[156].start 4825.581
transcript.whisperx[156].end 4844.389
transcript.whisperx[156].text 所以我這個部分有兩個重點第一個因為這一次丹娜絲其實哪邊最脆弱其實我們中央都有資料台電都有資料所以微電網我們就先要從這個地方先做部件也就是說我們可以從
transcript.whisperx[157].start 4845.569
transcript.whisperx[157].end 4862.402
transcript.whisperx[157].text 我們的區公所從我們的活動中心從我們的相關的一些公部門的單位我們先來建置第二個部分就是說我們的資料庫中央地方資料庫都要建立我想
transcript.whisperx[158].start 4863.652
transcript.whisperx[158].end 4879.282
transcript.whisperx[158].text 今天如果說一次丹納斯讓我們承受那麼大的一個痛苦我們就從這些痛苦去掌握所有的資訊而且從中央到地方的一個部件
transcript.whisperx[159].start 4880.383
transcript.whisperx[159].end 4896.208
transcript.whisperx[159].text 資料庫的部件這個非常的重要所以我們希望說中央我們建置地方也要建置然後做整合處理這才能讓人民沒有擔憂所以我要拜託次長
transcript.whisperx[160].start 4897.088
transcript.whisperx[160].end 4920.594
transcript.whisperx[160].text 微電網的建立很重要還有我們資料庫我們公司合作的這些資料庫的建立也很重要我們希望不只是台南市我想我有這樣的一個計畫我有這樣的一個預備可是我們也希望用這樣的經驗給所有全國各地都應該有這樣的準備這樣才能讓我們的
transcript.whisperx[161].start 4923.655
transcript.whisperx[161].end 4938.309
transcript.whisperx[161].text 人民沒有後顧之憂遇到了任何的所謂的天災我們都可以有萬全的準備這才是人民的保障謝謝委員的指導我們會用這個方向來推動之外 除此
transcript.whisperx[162].start 4939.19
transcript.whisperx[162].end 4967.011
transcript.whisperx[162].text 微電網的建制地方政府的支持非常的重要所以我們希望在這個方向之下中央跟地方快步的來合作來建立我們防災型的一個社會來達到我們整個社會的一個韌性那市長我們那個丹納斯的特別預算有微電網你說8億那之後呢之後我們的公務預算呢現在我們能源署已經提出一個公共建設的一個草案
transcript.whisperx[163].start 4967.932
transcript.whisperx[163].end 4974.902
transcript.whisperx[163].text 那我們現在已經在抱怨審議之中所以抱怨審議這個草案完之後預算呢會跟上嗎
transcript.whisperx[164].start 4975.851
transcript.whisperx[164].end 4976.011
transcript.whisperx[164].text 我們謝謝陳天飛委員
transcript.whisperx[165].start 5004.591
transcript.whisperx[165].end 5020.199
transcript.whisperx[165].text 接下來的話我們有請這個鄭正前委員質詢謝主席我想請一下經濟部賴建信次長請經濟部賴次長
transcript.whisperx[166].start 5026.856
transcript.whisperx[166].end 5047.435
transcript.whisperx[166].text 市長早安因為今天我們是針對土石財區法的一個修法的一個詢答那我想說因為行政院版的土石財區法第36號修正草案重點集中在那個提高行政罰款 沒入機據增訂盈利性的倒採刑責加重結果犯處罰以及整複的規範
transcript.whisperx[167].start 5048.516
transcript.whisperx[167].end 5071.343
transcript.whisperx[167].text 那我這邊想要特別提到因為坦白說加入刑罰的部分的時候我覺得是一個好的方式能夠得到更好的一個威嚇的效果不過因為它的前提是有一個意圖引力這個主觀範疑的部分那這個舉證門檻是不是會變得很高因為現在事實上我們看到很多司法的實務上面的時候不法分子他們通常是用土地改良
transcript.whisperx[168].start 5072.224
transcript.whisperx[168].end 5086.701
transcript.whisperx[168].text 整地致用或者是清除淤泥等等的一個理由基本上你要去證明這個意圖營利這個部分我覺得之後會變成我們在舉證上面的一個困難所以針對這個部分的時候我們是不是有可能
transcript.whisperx[169].start 5088.54
transcript.whisperx[169].end 5115.014
transcript.whisperx[169].text 這個刑責的部分不會把意圖營利變成一個前提這部分可不可以請次長做個簡單的說明首先跟委員講其實要區分這個部分檢察官只有他的偵辦的技巧除了從事實的發生的場所來源或是契約書或是通聯的資料或是土方的去處那除此之外土石採取法現行的規定第三條裡面針對自用的部分就有明確的規範
transcript.whisperx[170].start 5116.095
transcript.whisperx[170].end 5133.017
transcript.whisperx[170].text 排除自用的部分剛剛委員所舉的例子很多的部分就會贏到自己的利甚至是賺不法的這個利得所以基本上我們認為說目前行政院版的這個部分可以體現我們希望達到的利益其實這部分就讓檢察官這邊到時候去辦
transcript.whisperx[171].start 5134.058
transcript.whisperx[171].end 5160.668
transcript.whisperx[171].text 那因為我覺得這一次的修法當中其實有幾個點因為我覺得意圖引力這個部分如果說把那個用數量跟規模的部分直接當作一個條件這也許是一個思考的方向那當然就是說如果說我們這邊其實要用意圖引力然後你把這個意圖引力在主觀的那個條件去讓檢察官這邊去處理當然是一個解決的當然是一個做法可是我們認為到時候你在舉證當中其實就會變得非常的困難
transcript.whisperx[172].start 5161.348
transcript.whisperx[172].end 5184.27
transcript.whisperx[172].text 第一個要遏止這個狀況在發現事實的這個當下第一個在執法的人員就可以來說所謂的沒收或是沒入這些的經濟當然看到他們的損失我們在看這個法律當中的時候我個人覺得就是你會牽涉到一個到時候要用刑責的部分會有一個主觀的一個論定這樣的一個困難點
transcript.whisperx[173].start 5185.03
transcript.whisperx[173].end 5201.292
transcript.whisperx[173].text 可是因為我覺得今天要討論幾個點比方說我們在修法當中的時候也特別把原本的按日連續處罰改成按次處罰那這個部分的時候我覺得各有各的考量可是按次處罰之後它會非常的去考驗到
transcript.whisperx[174].start 5202.113
transcript.whisperx[174].end 5217.385
transcript.whisperx[174].text 地方在執法上面的一個能力因為如果按日處罰的時候我們相對的時候比較容易去做一個行政的一個處罰的一個判斷可是你如果變成是個按次處罰你必須要賴主管
transcript.whisperx[175].start 5218.542
transcript.whisperx[175].end 5240.774
transcript.whisperx[175].text 單位的時候每一次每一次的去做這樣子的一個檢查我覺得可能會造成基層當中的一個負擔越來越重而且你用次數的方式的壓力跟按日數給他們那個經濟的壓力我覺得按日數給他們經濟壓力可能會更大首先跟委員報告近五年我們這對土石採取的這個案件我們大概統計大概有76件
transcript.whisperx[176].start 5242.495
transcript.whisperx[176].end 5267.359
transcript.whisperx[176].text 那這些的案件的話都是相當地方矚目或是社會矚目的那既然是如此的話所以執法的人員他必須要去到現場去看看事實那除此之外的話法務部在針對所謂的行政法有關於所謂的案日跟案次的部分逐日來把它改成說案次所以案次是執法人員要去現場看是
transcript.whisperx[177].start 5267.999
transcript.whisperx[177].end 5292.296
transcript.whisperx[177].text 事實的狀況如何來做一個處罰在這個行政裁罰上面的話不管是對於行為對於所謂的執行或是我們建立一個法治的國家大概依法來刑事 依法來裁處會更有依據所以這個部分是一個聰明的改善這樣做法的時候就會造成地方很大分因為坦白說地方現在的很多公務人員其實都補不起
transcript.whisperx[178].start 5293.097
transcript.whisperx[178].end 5307.732
transcript.whisperx[178].text 你現在要用暗刺的狀態去做這樣的處理的時候我覺得是可能會造成我們給真正的違法者的時候的壓力反而會減輕不過這邊就是我先針對這部分提出來然後另外一個狀態我覺得這是修法當中還有一個點就是說我們是針對那個
transcript.whisperx[179].start 5310.094
transcript.whisperx[179].end 5331.583
transcript.whisperx[179].text 盜採者的部分我們可以去抓到 可是我們對於那個獲利者 盜採之後的獲利者的時候 似乎沒有這樣子的一個相關的一個罰則那我覺得這個部分針對盜採那個殺死之後的一個獲利者的部分 是不是可以考量比方說像森林法的一個部分把那個獲利者也能夠納進一個處罰的一個範圍
transcript.whisperx[180].start 5335.669
transcript.whisperx[180].end 5353.569
transcript.whisperx[180].text 事實上在這個所謂的刑法的部分針對於所謂的共同行為人甚至他意圖營利他的這個獲利者只要我們偵查到哪裡他就會處罰到哪裡不但是如此幫助犯、教唆犯這些都是在我們的查處的這個範圍裡面
transcript.whisperx[181].start 5355.251
transcript.whisperx[181].end 5374.567
transcript.whisperx[181].text 所以我們這次提了這個修法我們地礦中心特別去拜訪我剛剛跟其他委員說明個別偵辦的檢察官我們認為說除了罰款之外其實最有效的這個這個所謂的嚇阻的手段是徵納刑法的這個規定所以我們這次特別針對意圖
transcript.whisperx[182].start 5376.789
transcript.whisperx[182].end 5391.887
transcript.whisperx[182].text 所以我才會特別提到說因為他有一個主觀翻譯舉證上面的一個問題啦那當然就是說部長今天我不知道你們在做這樣的過程當中的時候是不是有跟相關的一個執法的一個單位有助過的溝通有有有有助過的溝通他們也都覺得他們負擔得來嘛
transcript.whisperx[183].start 5393.809
transcript.whisperx[183].end 5419.122
transcript.whisperx[183].text OK那另外一部分就是我希望說在這次修法當中說可以把那個斷絕就是盜財土食這相關的那個利益鏈的部分的時候也能夠嚴加的一個杜絕我覺得這才是最主要的一個根本解決的方法本次行政通過經濟服所提的版本裡面經過反覆的檢討我們認為說可以有效的二組法不法
transcript.whisperx[184].start 5420.563
transcript.whisperx[184].end 5433.429
transcript.whisperx[184].text 然後達到我們所希望達到修法的目的OK我們希望這次修法之後能夠真正的有效然後來杜絕比方說很多地方的一個稻財土石房這樣子的一個問題謝謝好謝謝委員之導好我們謝謝鄭正前委員接下來的話我們有請這個謝一鳳委員
transcript.whisperx[185].start 5453.837
transcript.whisperx[185].end 5457.907
transcript.whisperx[185].text 好謝謝主席我想請賴市長好我們請賴市長好委員好
transcript.whisperx[186].start 5463.85
transcript.whisperx[186].end 5484.226
transcript.whisperx[186].text 市長早安我想請教一下就是現在AMD跟Nmedia都計畫在台灣就是說大量的投入那回答也表達說每年對台的採購會1500億那但是他也在
transcript.whisperx[187].start 5485.507
transcript.whisperx[187].end 5505.994
transcript.whisperx[187].text 就是暗示說台灣的電力有可能不足喔那我們過去說我們在2034年之前會累積10.2G的燃氣電廠喔那所以在2034年之前半導體還有所有的Data Center的供電都是無餘的嗎請問一下
transcript.whisperx[188].start 5507.284
transcript.whisperx[188].end 5523.973
transcript.whisperx[188].text 我們不但是如此我們定場的會去針對未來這個電力的供需可靠度去做一個檢討除了我們工部門之外我們邀請學者專家以今年為例的話我們今年就有四個機組可以上來
transcript.whisperx[189].start 5524.963
transcript.whisperx[189].end 5553.191
transcript.whisperx[189].text 你說燃氣的部分嗎對 新增加的電力就5.2GW我們知道半導體的發展突飛猛進所以我們經濟部也擬定了所有的配套的措施針對半導體產業的輔導的部分不管是用研發創新供應鏈這個當然不是委員所質詢的但是這個經濟部也在做對於所謂的基本條件基礎設施水跟電
transcript.whisperx[190].start 5554.178
transcript.whisperx[190].end 5578.96
transcript.whisperx[190].text 的這個部分我們也盤點出來說他的挑戰是如何我們需要如何去應處比如說以電力為例的話除了這10.2G的燃氣機組之外你還有沒有其他的備案那因為他現在回答還不是IE100的會員嘛那所以他需要電力穩定是優於綠電那我們的綠電目標呢我們的綠電目標有沒有辦法達成
transcript.whisperx[191].start 5580.271
transcript.whisperx[191].end 5602.69
transcript.whisperx[191].text 所以这个是我们要提倡二次能源转型的重点所以绿电的部分我们在多元绿电的发展我们除了今年现在已经并往的离岸风电4.67GW之外我们在2030我们更有信心可以达到10GW因为我们在今年3月27也公布了3-3的一个零选
transcript.whisperx[192].start 5602.95
transcript.whisperx[192].end 5623.824
transcript.whisperx[192].text 除此之外在離岸風電的一個風場不管是浮動式的風場各式的風場其他的這個綠能比如說太陽能光電太陽能光電的話我們現在併網的是差不多是有15.76左右那地熱的部分也是所以這些都要做深度節能也要做
transcript.whisperx[193].start 5624.925
transcript.whisperx[193].end 5645.269
transcript.whisperx[193].text 那所以綠電 你的意思是綠電還會增加當然會增加是 那我是說會不會按照你的目標有沒有辦法按照你的目標達成我們現在基本上我們繼續逐日逐月的再去做現在有沒有辦法超前 達成還超前我們希望朝著這個目標來努力我們積極在努力之中
transcript.whisperx[194].start 5651.786
transcript.whisperx[194].end 5680.353
transcript.whisperx[194].text 好那就除了這個部分以外還有這些就是說當輝達跟超微在台灣設廠那個供應鏈的短鏈已經有這樣子的趨勢那物流呢我們對於這些高耗能跟高時效的物流籌備的圓區那在書配店的規劃上面是不是有一些優先擴充的擴容的方案呢有嗎
transcript.whisperx[195].start 5681.562
transcript.whisperx[195].end 5696.591
transcript.whisperx[195].text 所以在電網的部分其實台電一直在加速的進行強韌的電網的工作除此之外我們現在去年所推出的儲冷或是自發自用我們也希望說未來這個園區透過儲冷跟自發自用包括綠電
transcript.whisperx[196].start 5697.992
transcript.whisperx[196].end 5723.704
transcript.whisperx[196].text 的這個建立它可以避免說因為它的開發來影響其他周邊的這個需求那除此之外的話對於基礎建設不管是我們的長期的電力的這個需求我們也希望說這一些的這個發展可以就近我們在電源端可以對我們的電網是更加的穩定的所以我們現在有擬定了相關的這個策略比如說以NVIDIA
transcript.whisperx[197].start 5725.084
transcript.whisperx[197].end 5739.49
transcript.whisperx[197].text 進駐在北市科的部分 其實台電很早的就提醒了台北市政府說這個部分可能要儘早在原來的這個土地裡面預留這些方案 那我們也跟市政府共同的協調 協調出
transcript.whisperx[198].start 5742.418
transcript.whisperx[198].end 5761.334
transcript.whisperx[198].text 它不是電不夠的問題它未來的發展也不能只看它2030它要看它未來長遠的長遠的可能要增加到也許到200多MW左右所以變電所是需要的變電所的土地跟建構的這個形式大家都有共識我們就趕快來
transcript.whisperx[199].start 5761.894
transcript.whisperx[199].end 5777.05
transcript.whisperx[199].text 除了台北市以外啦我相信其他縣市也會需要相同的發展因為如果供應鏈的短鏈已經促成的時候就是相關的這個需求一定是與日俱增啊你也是必須要就是說
transcript.whisperx[200].start 5779.572
transcript.whisperx[200].end 5804.645
transcript.whisperx[200].text 考量到區域的這個產發署從產業端去來推估說我們的這個算力的需求那能源署從供應端對於電力可靠度和長遠的這個電力的發展我們有相當的疲憊甚至在能源署在最近提出來這個法規的部分包括使用能源的使用效率這些都會搭配起來因為它的用電很多當然我們希望它盡量能解電
transcript.whisperx[201].start 5805.425
transcript.whisperx[201].end 5834.172
transcript.whisperx[201].text 所以這個法規的這個部分我們都已經還有就是說因應這樣子的電網韌性的問題那會做一些調整那我剛還聽到就是說我們未來會發展就是微電網這樣子的一個型態那也希望說在就是說強化電網韌性的時候也希望說對於社區或者是民生的用電那是不是能增強這樣子微電網的相關的就是說就是這樣子的優化的情況
transcript.whisperx[202].start 5835.733
transcript.whisperx[202].end 5856.59
transcript.whisperx[202].text 會讓就是說社區在這個電網優化的情況下會導致於就是民生用電的有可能常遇到就是不足的情況那我相信微電網應該可以調整這樣子的情況謝謝委員關心不論是AI的發展或是民眾生活提升韌性的部分
transcript.whisperx[203].start 5857.811
transcript.whisperx[203].end 5873.786
transcript.whisperx[203].text 除了台電公司的努力之外我們也期待說地方政府的協助因為這個部分需要說中央跟地方一起來合作不管是包括土地的變更還有包括使用行為人因為我們過去在建立微電網徵詢的過程裡面我們發現說
transcript.whisperx[204].start 5877.409
transcript.whisperx[204].end 5900.556
transcript.whisperx[204].text 因為人事的更迭 可能有一些人就不支持舉例來講 因為我們現在建立在學校當校長改換的時候 就不會支持但是縣市所長若是有跟委員一樣的來支持我們的電力的建設的時候這個方向就會鞏固住了在我們的框架之下就可以來建立我們所謂的強韌的電網
transcript.whisperx[205].start 5902.278
transcript.whisperx[205].end 5931.658
transcript.whisperx[205].text 好那最後不好意思稍微我再一個問題就是土石採取法的這個今天的相關修法那未來行政院把那個限期整復的職權由得改成因那這其實雖然說展現我們政府的決心但是我們也必須考量地方政府在財政跟量能不足的情況下導致廠子沒有辦法在黃金時間內能夠完整修復
transcript.whisperx[206].start 5932.338
transcript.whisperx[206].end 5958.103
transcript.whisperx[206].text 那所以本次你們你們的行政院的版本以及經濟部的版本是強化環境恢復嗎那所以除了要求地方執法外是不是有配套的相關的跨部會的協助機制或者是專案啊你才能夠協助就是地方政府處理這種高難度的這個就是帶旅行整複的作業是不是這個
transcript.whisperx[207].start 5961.001
transcript.whisperx[207].end 5965.448
transcript.whisperx[207].text 第一個謝謝委員關心因為我們現在對於所謂的盜亂財的部分
transcript.whisperx[208].start 5967.608
transcript.whisperx[208].end 5991.187
transcript.whisperx[208].text 我們希望說趕快希望把它恢復對阿佛是說你知道地方政府的量現在也不足對 那委員就點出那個問題所在為什麼說沒有辦法去整復因為所謂的整復的規範不一農業發展條例裡面有相關的規定但是我們這一次藉由這次的修法把整復的規定讓未來我們經濟部地方中心會跟中央各部會
transcript.whisperx[209].start 5991.907
transcript.whisperx[209].end 6020.658
transcript.whisperx[209].text 來去訂定所有適合的原來附存的土壤之外適合整戶的土壤進來那這樣子裝把專用對於整戶是有幫助的對 你應該要協助地方政府嘛因為他們畢竟沒有相當的人力來做這樣子的那個那你如果就是說你如果希望他們把統一標準把它訂起來然後你又把德改成英的時候那是不是也應該要就是說有更好更完整的配套
transcript.whisperx[210].start 6021.098
transcript.whisperx[210].end 6046.869
transcript.whisperx[210].text 好不好好謝謝謝謝謝謝謝謝蕭峰委員接下來有請呂毅林委員質詢謝謝主席請戴次長你要不要先喝口水你先喝口水沒關係
transcript.whisperx[211].start 6049.454
transcript.whisperx[211].end 6053.499
transcript.whisperx[211].text 好委員早安市長你先喝口水吧好謝謝我慢慢來問啦
transcript.whisperx[212].start 6055.495
transcript.whisperx[212].end 6077.425
transcript.whisperx[212].text 次長在去年9月的時候爆發了這個美濃大峽谷這個案子就是不肖業者就是盜採殺死我們沒有強力的那個法我們有法但是我們沒有辦法去嚇阻所以我們才會朝野共識下再修了這個提出土石採石法在這土石採石法第36條裡面有未經許可的話最高法源是1000萬然後有盈利的話
transcript.whisperx[213].start 6084.228
transcript.whisperx[213].end 6092.151
transcript.whisperx[213].text 這行為最高到五千萬到五年以下的有期徒刑那也要機關如果它有設備的話或者是車輛的話我們也會沒收在這個上面我們朝野都有共識啦經濟部也非常的重視但是本期看來比較務實實在的一個問題就是說因為它造成這個爛財造成了這個大峽谷式的這個大坑洞要把它復原起來那這個違法的這個行為人
transcript.whisperx[214].start 6112.597
transcript.whisperx[214].end 6133.898
transcript.whisperx[214].text 他如果沒辦法去恢復的話那我們的機關地方剛剛有提到了就是我們地方政府的話就可以去幫忙他把它復原然後這個費用的話衍生出來這個費用我們再請行為人來負擔這個費用但是行為人在案發時候就開始就脫產然後就跑路了
transcript.whisperx[215].start 6134.739
transcript.whisperx[215].end 6144.444
transcript.whisperx[215].text 未來這個衍生出來的這個費用啊地方政府也沒辦法跟他索取的話那最後買單還是我們全民來買單所以我們經濟部這邊有沒有相應的這個這個機制來讓行為人來付出應有的代價
transcript.whisperx[216].start 6149.967
transcript.whisperx[216].end 6177.463
transcript.whisperx[216].text 第一個要遏止這個情形發生事先一定要掌握像我們國家也有服衛的衛星上去它的解析度非常高可以在現行的機制之下早日發現但是委員確實點到一個問題因為我們現行的規定在未修法之前因為我們這個法規只有行政法沒有刑法所以當我們發生事實的時候需要檢察官來幫忙或是法務單位來幫忙它只能用竊盜
transcript.whisperx[217].start 6178.183
transcript.whisperx[217].end 6204.143
transcript.whisperx[217].text 他也脫產了啊他竊盜可是當我們修法的時候其實共同實施的犯罪人啊他都有這個必須要去所以你現在沒有去檢討討論這個問題嗎我們在所謂的處罰的部分我剛剛已經在報告了不管是地主駕駛或是業者甚至背後教說背後出資者只要犯罪事實偵辦到哪邊他必然要付出相對的代價
transcript.whisperx[218].start 6205.256
transcript.whisperx[218].end 6217.449
transcript.whisperx[218].text 市長我說他當然付出代價但是他脫產了沒有財產了又跑路了那未來這個所有衍生出來的任何費用都是我們所有的民眾來買單啊納稅人來買單啊所以你們討論一個機制出來好不好這個
transcript.whisperx[219].start 6224.605
transcript.whisperx[219].end 6228.39
transcript.whisperx[219].text 未來我們會透過跨國人來承受因為他沒辦法復原嘛那就由機關來做代為復原的工作對不對那這些費用的話都要違法的行為人來負責啊這法官也一定會這樣子判都沒有問題但是沒有辦法讓執行他讓他負責他就已經脫產了
transcript.whisperx[220].start 6241.105
transcript.whisperx[220].end 6255.783
transcript.whisperx[220].text 這之前面向上面我會依照委員的指導跟相關部會來討論討論一下要因應的這個機制出來好不好接下來我想請問一下我們有九條斷層的這個地質敏感區域的劃分還未公佈
transcript.whisperx[221].start 6258.426
transcript.whisperx[221].end 6274.711
transcript.whisperx[221].text 因為我們在台灣是位處於歐亞這個板塊跟菲律賓海這個板塊的交界是全球地震活動最頻繁的地區之一所以我們台灣有36條那其他的已經陸陸續續公布了從103年陸陸續續全部都公布了還有9條還沒有公布是什麼原因
transcript.whisperx[222].start 6280.333
transcript.whisperx[222].end 6297.804
transcript.whisperx[222].text 委員所說明的這個土剛剛左邊這個部分剛好很多都是在都市地區都市地區更要趕快公佈啊你地質看看有困難嗎不是 它有一個困難是它被事後人為的行為改變地形人為的行為是什麼行為就是建築
transcript.whisperx[223].start 6299.205
transcript.whisperx[223].end 6325.978
transcript.whisperx[223].text 所以這就是本席要提的重點要請你們趕快做的是產業跟民眾要正確的掌握這個我們地質的資料才不會影響他們生命財產的安全是不是這樣子所以這九條這麼危險市長都說這個九條就是在市區都會區都會區更重要啊開房子的話挖地基挖得更深啊更危險啊所以你們是不是可以趕快公布出來
transcript.whisperx[224].start 6327.358
transcript.whisperx[224].end 6343.384
transcript.whisperx[224].text 這個部分地礦中心每年都有一個計畫在做為什麼剩下這9條沒有公布因為這裡面有涉及到 你要判定它是不是所謂的地址10年了 已經10年了不是叫你馬上公布 給你10年的時間
transcript.whisperx[225].start 6348.145
transcript.whisperx[225].end 6365.24
transcript.whisperx[225].text 而且一個都會區這麼危險 你的範圍區域要怎麼蓋房子事實上這些除了剛剛次長講的我們要顧慮到有一些新的開發行為之外那另外 我們也要找專家學者收集科學數據去討論我知道 我是說已經給你們十年的時間了為什麼還沒有公布出來
transcript.whisperx[226].start 6374.526
transcript.whisperx[226].end 6380.936
transcript.whisperx[226].text 這個我們每年都有規劃一條兩條在做新市鎮的收據你們去探勘去規劃這個區塊的話一條你要花多少多久的時間這個
transcript.whisperx[227].start 6387.621
transcript.whisperx[227].end 6410.878
transcript.whisperx[227].text 這個都要好幾年好幾年 是所以這九條你們可不可以先趕快的來處理呢我們都有在陸續規劃市長講的都是最危險的都會去我們會請地方中心依照委員的指導看看怎麼樣跟學者來檢討因為你要確定一個地方有斷層他必須要從古老的地質跟地層的結構來做這些都已經確定是有斷層的地方
transcript.whisperx[228].start 6413.18
transcript.whisperx[228].end 6439.066
transcript.whisperx[228].text 所以要把你區劃生範圍出來安全的範圍出來要怎麼樣去開發產業到開發的時候要怎麼樣去注意這個安全危險性在哪裡都要去掌握才能夠防範那目前為止的話我們經濟部在配合不管是相關的開發或是大型的建設只要涉及到區劃地方中心也提供專業的意見比如說是環評的部分地方中心都會提供所以請盡快好不好尤其是9條
transcript.whisperx[229].start 6439.986
transcript.whisperx[229].end 6442.668
transcript.whisperx[229].text 非常危險都在渡會 好 謝謝好 謝謝好 謝謝好 接下來我們請洪麗祥委員召委 請做詢問好 謝謝主席接下來我們有請這個次長我們請次長
transcript.whisperx[230].start 6477.072
transcript.whisperx[230].end 6495.331
transcript.whisperx[230].text 我想這個上次我想這個問題還是我們當時提出這個修法的理由不管是在美濃大峽谷、桃園農地、高雄旗山、稻產回田這些都是台灣的土地非常的珍貴我們也不希望這樣的事情再發生
transcript.whisperx[231].start 6496.448
transcript.whisperx[231].end 6525.523
transcript.whisperx[231].text 那這整個修法的歷程從我擔任召委這邊的話我們的民眾黨的版本在4月10號我們就先把它提出來然後到4月3號我排了這個巡打那當時來講經濟部還沒有一些的對應的版本但是有很積極的來溝通這個我還是給予這個地質調查跟礦業管理中心的一個肯定
transcript.whisperx[232].start 6526.584
transcript.whisperx[232].end 6550.57
transcript.whisperx[232].text 那溝通完之後在我們詢答的時候當然因為那個時候版本還沒出來所以我們就稍微就延宕那時候我記得是邱益穎委員就是希望這個提不出來就提頭來見稍微頭還在因為稍微delay了一點就是你們修法完再到行政院版本所以這個還是稍微delay一點但我還是給你一個鼓勵
transcript.whisperx[233].start 6551.977
transcript.whisperx[233].end 6569.087
transcript.whisperx[233].text 那接下來的話這個行政院提送修法那我們今天就繼續再給你們時間做巡查跟處理所以表示我對你們的尊重但是看完之後這樣子的一個版本基本上我覺得
transcript.whisperx[234].start 6571.189
transcript.whisperx[234].end 6581.255
transcript.whisperx[234].text 感覺好像還是有點避重就輕首先的話我想我肯定的就是說我們把這一個刑罰這一個列進來這個的確是有嚇阻的作用比單純的罰錢肯定所以這個的話我們也根據跟這個地礦中心這樣的討論
transcript.whisperx[235].start 6590.101
transcript.whisperx[235].end 6616.686
transcript.whisperx[235].text 所以我們也是在提出這樣的修正動議所以本黨團也在提出第36條的修正動議把大家一起所期盼的刑法的法則也一併列到我們的版本的修正動議但是我覺得法環這邊的話我覺得還是要提高這樣子的額度因為就如同上次剛剛賴慧文講的其實我們查到的這些不法的獲利大概
transcript.whisperx[236].start 6617.991
transcript.whisperx[236].end 6630.1
transcript.whisperx[236].text 你說這個才罰個一百萬一千萬對他實在是不痛不癢雖然我們有罰則雖然我們有刑法禁有罰則有這樣的刑法的一個處分但我覺得這是一個態度的問題
transcript.whisperx[237].start 6631.973
transcript.whisperx[237].end 6657.264
transcript.whisperx[237].text 縱法、嚴刑我覺得這個是一個態度的問題所以他們的不法獲利大概根據我們這樣去談的話大概就不好了3億還有7億的所以這個3億到7億之間我覺得這個法環就太輕了所以我這邊我還是堅持是說也許我們等一下在討論的時候我們還是把這一個所謂的最低跟天花板再往上來調一下
transcript.whisperx[238].start 6657.944
transcript.whisperx[238].end 6687.287
transcript.whisperx[238].text 另外我也希望是按日我覺得也是一個態度的問題因為地方的政府的人耐的是不夠的按次你還是要人去集合反正我就從這一天我查到不法開始直到你改善你這些不法的問題跑掉幹嘛等等我們就再來處罰用按日來計我覺得比較會有這樣子的一個強度這個是我的看法我們在黨團的看法另外的話就是
transcript.whisperx[239].start 6688.556
transcript.whisperx[239].end 6713.195
transcript.whisperx[239].text 為什麼這個罰則要把他上限到1億喔剛才中間那邊有人講了很多喔那其實我就覺得你的法條到上次我就說過水域這邊的話罰金上限就是1億啊那你陸地那1000萬看起來就是怪啊又倒到海裡倒到水域的倒到我們的山這個這個河川哈鬼啊啊倒來人家土地哈瘦啊歐洲也倒土地啊
transcript.whisperx[240].start 6714.62
transcript.whisperx[240].end 6739.02
transcript.whisperx[240].text 所以我是覺得這個要拉齊啦不要有這樣子的一個法則的落差好那我是肯定你因為我是要漸漸修理農業部農業部要給我裝死裝碎因為土產法是我們很重要的一個法根據這個法下來之後我們還有水保山坡地的保育跟農發這些都屬於農業部管轄到現在還是沒有院辦
transcript.whisperx[241].start 6741.475
transcript.whisperx[241].end 6756.526
transcript.whisperx[241].text 我覺得這一點我是肯定這個地礦中心的一個積極的程度因為這個是一個非常非常嚴重的一個問題最後我只有請教這個次長一個問題次長你現在督導的是哪些署啊?農園署、水利署所以產發、商發應該都不歸你產發署跟商發署都沒有?還沒有
transcript.whisperx[242].start 6767.099
transcript.whisperx[242].end 6791.735
transcript.whisperx[242].text 那是關於何次長嗎何次長好 何去庚 何次長還有那個杜耀樹我要的資料到現在產發署的資料還沒有給我商發署上次開完記者會蘇巧純的公職人員關係到底他在賭注的時候有沒有然後給我答非所問幫我問一下我要的是立法委員的關係人
transcript.whisperx[243].start 6792.671
transcript.whisperx[243].end 6811.259
transcript.whisperx[243].text 也就是他姊姊跟他這個到底有沒有填就一句話yes or no有或沒有這樣就好了我也不要為難你們要不要查那麼久就有就有沒有就沒有這個回去麻煩轉告一下這個何次長還有這兩個署首先跟委員報告感謝我沒有要你回答就這樣子謝謝
transcript.whisperx[244].start 6813.655
transcript.whisperx[244].end 6820.838
transcript.whisperx[244].text 其實在那個土石採取法 我們5月期間好 來 將相關資料再給趙偉謝謝你們在溝通 謝謝來 次長請回座次長雖然很負責任 還是要講因為時間的關係 謝謝好 謝謝黃趙偉好 謝謝我們有請楊瓊英委員質詢
transcript.whisperx[245].start 6849.02
transcript.whisperx[245].end 6853.701
transcript.whisperx[245].text 市長好 我們繼續討論能源的問題我們看到5月31號台電雲林麥寮風場第17號風力發電機組發生了火災它的機艙距離地面有70公尺
transcript.whisperx[246].start 6875.427
transcript.whisperx[246].end 6895.118
transcript.whisperx[246].text 所以它燃燒起來的時候因為它的高度過高所以我們整個消防隊人員只能夠在周邊來警戒沒有辦法直接進行滅火的這個作業經濟部也發表了意見也就是說會要求同類型的以及達到一定時用年限的風機加強巡檢
transcript.whisperx[247].start 6898.34
transcript.whisperx[247].end 6916.176
transcript.whisperx[247].text 但是這個說法呢我們認為是不夠的為什麼會說不夠呢因為我們一直在宣示不斷的宣示風電光電這些綠能裝置的容量的一個成果但是沒有跟社會大眾去交代你設置了這個基礎之後那你
transcript.whisperx[248].start 6917.304
transcript.whisperx[248].end 6940.992
transcript.whisperx[248].text 那你以後的維護使用它的年限怎麼樣去分期 我們沒有聽到所以當事件發生的時候 社會大眾都在看政府部門到底要告訴我們什麼政府部門要怎麼告訴我們進入老化的中期後的維護機制退換的標準 還有安全管理的制度那所以
transcript.whisperx[249].start 6942.232
transcript.whisperx[249].end 6966.354
transcript.whisperx[249].text 我們看到發電機 齒輪箱 電纜以及控制系統這一些它都有它的一定的壽命那這些壽命在這個過程當中我們要怎樣去檢核 怎麼樣去維護這是民眾所希望聽到的所以首先來請教我們事前的預防制度到底是怎麼樣不要等到事件有了 我們再來補破網來 請次長說明
transcript.whisperx[250].start 6968.815
transcript.whisperx[250].end 6988.106
transcript.whisperx[250].text 首先事前的部分如委員所說的針對於這些老舊的機組啊必須要全面的清查部長也有指示請問全面的清查從現在開始嗎我們已經開始在做了什麼時候可以告訴社會大眾你們在日曆多久時間可以全面的清查這個基本上
transcript.whisperx[251].start 6989.656
transcript.whisperx[251].end 7018.535
transcript.whisperx[251].text 我們現在掌握的這個類型有76組76對 同樣類型那一個月內台電會把這76支所有的這個狀況會做一個確定一個月內也就是這個月底好 繼續做一個巡檢是 做一個巡檢是那有沒有調整怎麼樣的維護安全呢管理機制呢 治理方式呢維護安全的部分我們如何再精進的話我們已經請能源署能不能在三個月內
transcript.whisperx[252].start 7021.468
transcript.whisperx[252].end 7042.526
transcript.whisperx[252].text 針對把整個這個所謂的巡檢的這個結果加強維護管理跟運轉的這個要求的部分把它提出來相關的精進的作業好 三個月內將精進方案給社會大眾因為我們一直在強調要怎麼樣能源轉型那設置之後這一些
transcript.whisperx[253].start 7043.827
transcript.whisperx[253].end 7056.219
transcript.whisperx[253].text 維護管理 巡查機制就是非常重要 也是民眾要聽到我們希望要照這個時間把你們的方案提出來接下來本席要請問 中油我們也討論能源的問題政府一直告訴我們 量足價穩 量有夠 價小也要平穩
transcript.whisperx[254].start 7066.661
transcript.whisperx[254].end 7084.651
transcript.whisperx[254].text 量 足 價 穩這是現在政府告訴我們的這也是我們現在的目標而且也是目前的成果舉如說量足的部分我們不但是七八九月包括在冬季的部分這個天然氣石油這都已經有secure相關的案子
transcript.whisperx[255].start 7085.671
transcript.whisperx[255].end 7092.816
transcript.whisperx[255].text 價穩的部分我跟委員分享一個我們現在955千汽油在中油的這個幫忙之下現在是33.9塊新加坡是85.1塊中油的話超過韓國我記得是50.8
transcript.whisperx[256].start 7101.041
transcript.whisperx[256].end 7123.416
transcript.whisperx[256].text 針對本席的提問中油吸收了將近1400億因為我們說民生物價一定要穩定不能導致同盆的這個問題所以我們一直要求但是在6月1號的時候你們仍舊這四個字告訴社會大眾也就是量 足 價 穩但是也同步 同步漲了供應用電的5%
transcript.whisperx[257].start 7125.014
transcript.whisperx[257].end 7130.895
transcript.whisperx[257].text 我供應用店的話其實上他的所謂的售價的部分跟他的成本差異非常的大
transcript.whisperx[258].start 7132.264
transcript.whisperx[258].end 7154.46
transcript.whisperx[258].text 差異非常大本席提出這個也就是政府告訴我們的是量足價穩但是一方面工業用電來漲價那會不會導致末端還是一樣會導致通膨的問題這是本席提出請你好好的去思考這個問題還是延後漲價兩個議題工業用電漲價他是要工業使用的天然氣漲價對啊
transcript.whisperx[259].start 7158.189
transcript.whisperx[259].end 7174.259
transcript.whisperx[259].text 天然氣要漲價嘛 那等於是工業的成本會漲價嘛 那延續下來本家提出的也就是你的量足價穩價現在沒有穩 有漲了 那量足我們努力在做 但是我看到的是一個社會面向我們會不會因為這樣子導致你的四個字會破口
transcript.whisperx[260].start 7179.922
transcript.whisperx[260].end 7184.527
transcript.whisperx[260].text 因為會導致最末端的通膨問題還是會產生還是延後來漲價這兩個議題我提供給你好好的我們也思考看看我們也希望能夠穩定讓民生好生活這很重要尤其是傳統產業小攤商都是最辛苦的我們要怎麼樣協助他們
transcript.whisperx[261].start 7203.925
transcript.whisperx[261].end 7229.414
transcript.whisperx[261].text 對 中有的包括相關的預算也請委員可以多支持一下當然啊 對不對 所以你的口號要落實你的制度也要真正呈現啊 謝謝好 謝謝 謝謝委員支持中有預算 謝謝好 謝謝我們楊瓊玉委員 謝謝再次鄭天才 鄭天才 鄭天才委員接下來我們有請伍麗華委員質詢
transcript.whisperx[262].start 7242.591
transcript.whisperx[262].end 7246.954
transcript.whisperx[262].text 謝謝主席 有請賴市長市長好 請您看一下這個圖片為什麼我要秀這張圖片我們先看那個非常美麗的石板屋它坐落在現代建築物的中間
transcript.whisperx[263].start 7269.626
transcript.whisperx[263].end 7297.894
transcript.whisperx[263].text 這個是在高雄的多納那多納呢 它是一個古老的部落至少大概聽說有三百年都沒有遷移這個地方那其實在大概五十年前如果你到多納你會發現全部落大概百分之九十以上都是這樣的建物可是呢 因為它是違建 不合法又加上呢 它在面臨修繕的時候土石採取不義
transcript.whisperx[264].start 7298.994
transcript.whisperx[264].end 7307.05
transcript.whisperx[264].text 所以我們可以看到慢慢慢慢大概這個已經是部落僅存的兩三間的之一非常的可惜
transcript.whisperx[265].start 7308.26
transcript.whisperx[265].end 7334.054
transcript.whisperx[265].text 那我們再看另外一張圖片這個是我們去做勘栽也好 縣勘也好經常可以看得到的畫面就是部落他們可能種植芒果 種植一些農作但是因為就緊鄰我們的河川所以一年一年它的農田幾乎已經全部消失但事實上有一些河川
transcript.whisperx[266].start 7335.134
transcript.whisperx[266].end 7363.434
transcript.whisperx[266].text 他要去做標售土石的時候 零元啊你零元也標不出去 沒有人要啊但是部落的人就覺得說難道我不能夠去把那些堆積疏菌的砂石拿來填補我損失的農田嗎但是與法不合所以我在這個地方就是要特別表達其實在原積法對於非盈利自用的部分是有保障的
transcript.whisperx[267].start 7364.704
transcript.whisperx[267].end 7380.363
transcript.whisperx[267].text 可是我們也礙於一些母法 它的法令的強度所以我們一直不知道要怎麼辦在時間賽跑之下 很多的東西就失去了那我在上一屆呢 其實有提出土石採取法修法版本
transcript.whisperx[268].start 7381.184
transcript.whisperx[268].end 7386.047
transcript.whisperx[268].text 可是沒有機會見天日那這一次很開心喔因為我們的趙偉呢特別排審了土石採取法我們也是搭其他事件的便車啦所以有機會在這個地方重見天日所以呢我就是特別在這個地方讓大家了解為什麼我們要修這個法我們希望就是土石採取法呢它不要變成我們的文化保存的絆腳石
transcript.whisperx[269].start 7410.693
transcript.whisperx[269].end 7434.671
transcript.whisperx[269].text 所以在這裡我特別提原基法剛才的原基法提到第19條其實對於獵捕野生動物採集野生植物菌類採取礦物土食利用水資源其實原基法第19條是有提到只要是基於非營利傳統文化既以自用原住民是有這樣的一個豁免
transcript.whisperx[270].start 7436.653
transcript.whisperx[270].end 7450.728
transcript.whisperx[270].text 那因此我自己也在112年6月在之前的洪聖翰委員我們一同努力下也把在礦業法裡面這個部分有做修訂那訂定了一個新的原住民基於非營利目的採取礦物免申辦
transcript.whisperx[271].start 7453.731
transcript.whisperx[271].end 7480.268
transcript.whisperx[271].text 礦業全辦法那現在我們就是比照希望在土石採取法這個地方呢也能夠去做這樣的一個修訂所以特別在土石採取法的第三條第一項的789款特別呢去增加了就是希望針對土石的部分如果是自用即移傳統灌輸我們可以免申請那另外呢基於公共的
transcript.whisperx[272].start 7481.008
transcript.whisperx[272].end 7496.519
transcript.whisperx[272].text 建設的需求或者是修建傳統的建物還有第九項就是防災的需求 美化的需求我們是希望說可以免金申請所以在這邊就是簡單的請教一下次長您的意見
transcript.whisperx[273].start 7497.591
transcript.whisperx[273].end 7524.502
transcript.whisperx[273].text 好 謝謝 在過去諸多跟委員在現場會堪那委員剛剛所點出的一個議題也非常感謝委員很早就提出了土石採取法的這個修正草案剛剛委員所提到的一個事情 踐行原住民基本法我們希望在這個土石採取法裡面更把它明確出來除了剛剛委員所講的一些需要之外我們認為只要在這個部落裡面
transcript.whisperx[274].start 7525.682
transcript.whisperx[274].end 7551.561
transcript.whisperx[274].text 他去建築所需要的這些的土石的話都可以透過此次的修正來予以落實那在執行上面的話更加的順遂而不只限於原住民基本法所載列的文化記憶或是自用非靈異的行為我們在魔法裡面把它訂定起來比如說委員很知道現在汛期將近很多人要使用
transcript.whisperx[275].start 7551.561
transcript.whisperx[275].end 7569.514
transcript.whisperx[275].text 只用土匙來去做一些防汛的準備那這個部分的話經濟部會支持各委員所提出來的立場那我們希望說待會在討論的時候也各位聽聽經濟部的意見跟委員剛剛的心聲我們盡早完成這個法規的修正
transcript.whisperx[276].start 7571.435
transcript.whisperx[276].end 7595.693
transcript.whisperx[276].text 謝謝經濟部的一個支持那我也希望在審查的過程中大家能夠一同的支持那在這邊就是代替原住民族人來謝謝因為2005年原基法三讀通過之後留住這樣的條文但是直到現在我們必須在各個的法律裡面去做一個修正那在這邊希望我們大家一同支持謝謝次長也謝謝主席
transcript.whisperx[277].start 7599.67
transcript.whisperx[277].end 7616.839
transcript.whisperx[277].text 好 謝謝吳立華委員接下來 待會有邱志偉委員質詢完畢之後休息8分鐘齁那 林倩琦 林倩琦 林倩琦委員接下來我們請邱志偉召委質詢 謝謝那謝主席是不是也有請經濟部內事長請經濟部內事
transcript.whisperx[278].start 7633.4
transcript.whisperx[278].end 7653.175
transcript.whisperx[278].text 委員好很快的用四分鐘時間請教市長三個問題就土法不能行那你現在從嚴懲我們立法要嚴懲到實踐會有點落差為什麼這樣講這次修正草案一個重點是強化沒入機制
transcript.whisperx[279].start 7654.674
transcript.whisperx[279].end 7680.319
transcript.whisperx[279].text 強化沒入基礎就是說在行政查處的時候就可以沒入載運的車輛跟機械設備不要到最後才做相關的這個阻斷行為所以像這種會做這種組織性或者集團性絕對是有嚴整的分工嚴整的分工它規避所有法律的相關的規定從細節裡面去切割切割再切割
transcript.whisperx[280].start 7681.567
transcript.whisperx[280].end 7705.78
transcript.whisperx[280].text 都等到這個在初期的行政違規我們如果沒有注意到慢慢就擴大擴大整個這個塌下來之後就造成這個重大的傷害以至於沒有辦法彌補所以怎麼樣針對你所謂的在你的報告裡面所提到的精準打擊你要如何精準打擊這不是一個口號要有具體的作為
transcript.whisperx[281].start 7706.932
transcript.whisperx[281].end 7730.826
transcript.whisperx[281].text 你要針對這些行為你要針對這些行為的特性是它是有集團性集團性就是有分工還有很縝密的規劃所以你怎麼樣透過跟地方政府跟相關我們這個專案單位的這個橫向聯繫包括科技聯防以至於在初期階段就能夠了解這個問題產生的時候
transcript.whisperx[282].start 7734.164
transcript.whisperx[282].end 7753.451
transcript.whisperx[282].text 加以立即進入打擊後面就不會發生那麼嚴重的傷害這個我想請教次長您的意見好 謝謝委員指導科技執法是一個非常重要的重點除了科技之外我剛剛也有跟其他委員說明我們可以透過衛星或是無人機的部分來加強我們查地的能力可是你們無人機的預算過了嗎
transcript.whisperx[283].start 7756.232
transcript.whisperx[283].end 7775.809
transcript.whisperx[283].text 無人機的預算現在產發署在年度的預算裡面它已經有一個所謂的無人機的一個計畫所以你無人機產發署預算是要執行這個部分的嗎?沒有沒有無人機的應用啊不管是在救災防災或是平常公務的所以你的無人機預算產發署的無人機預算是可以用在查處這個所謂土石盜取的
transcript.whisperx[284].start 7776.707
transcript.whisperx[284].end 7801.289
transcript.whisperx[284].text 精準打擊的相關作為嗎是這樣子嗎巡檢的部分因為它是一個各個部分所以結論是說你無人機可以應用在對稻採殺死的這個這個這個查處嘛對不對或者先期的預防嘛對 災害的預防跟巡檢這個部分是很重要無人機的預算非常非常重要對 朝野一定要支持是 是 感謝委員儘快把這個
transcript.whisperx[285].start 7803.924
transcript.whisperx[285].end 7822.319
transcript.whisperx[285].text 經濟部的預算特別是無人機預算剛剛審查通過讓你們能夠精準打擊除了這個無人機相關還有什麼其他的做法嗎?就委員講的突發不足以置信行政機關的跨部門的整合聯合的查緝小組這是很重要的一個事情
transcript.whisperx[286].start 7825.381
transcript.whisperx[286].end 7839.529
transcript.whisperx[286].text 事實上法務部高檢署他針對於說國土安全的部分一直有一個專案的計畫在做那行政院也有頒布了加強陸域的這個殺死大亂採的處置的方案
transcript.whisperx[287].start 7840.269
transcript.whisperx[287].end 7866.971
transcript.whisperx[287].text 那透過這樣子的聯繫的話但是即時發現不法 早期預防 精準打擊 加強查緝對 就是報告你們所寫的嘛我希望不是一個口號就是你如果確實的作為來落實這些你三項重點對 所以我們這次的修法就是參照我們跟其他的檢察官跟地檢署甚至檢察長 法務部執法的單位提到的
transcript.whisperx[288].start 7868.191
transcript.whisperx[288].end 7885.443
transcript.whisperx[288].text 你講到這個法華佛是相關的部分這個陸域的道彩它的特性是它具有隱蔽性隱蔽性所以你相關的不像在海域海域我們有海巡弟兄對不對那你這個陸域常常在這個深山裡面
transcript.whisperx[289].start 7886.485
transcript.whisperx[289].end 7900.005
transcript.whisperx[289].text 或者人跡罕至之所在 對不對所以它具有一定的隱蔽性 您同意嗎這我同意 我們說針對於說屠城的套制所以你要有相關的誘因去讓這些不法行為能夠被揭發出來
transcript.whisperx[290].start 7902.202
transcript.whisperx[290].end 7922.88
transcript.whisperx[290].text 所以在行政院的方案裡面有一個查報的一個獎勵獎金是不是能夠足以能夠提供相關能夠加強對這個陸域倒採隱蔽性能夠加以揭發謝謝委員指導這個方向我們會跟將來在討論方案的修正的時候會提出來
transcript.whisperx[291].start 7923.325
transcript.whisperx[291].end 7944.605
transcript.whisperx[291].text 而且你地方政府的這個基層的這個公務人員有沒有相關的查緝能量你也要注意一下是是非常感謝我的關心怎麼去落實查處我關心但是你們要去落實啊是是你中央制定法律制定政策立法院通過修法之後你地方政府怎麼去查處沒有能力你沒有辦法查處啊
transcript.whisperx[292].start 7946.243
transcript.whisperx[292].end 7974.775
transcript.whisperx[292].text 那怎麼辦這個人力的這個問題包括資源的這個協處啊特別是中央我們不管是各個局屬都對地方政府所推動的這個業務我們都會來支持啊對啦我是相信我是相信說這個土法要執行一定要充足人力跟預算是相關的機器現科技的設備是謝謝你剛剛講無人機非常重要是那另外這個另外第三個問題
transcript.whisperx[293].start 7976.219
transcript.whisperx[293].end 8004.941
transcript.whisperx[293].text 這個整複的你要會整複的保證金有沒有可能入法不要說你要最後復原還要用這個國家預算來這部分你在歐盟美國其他國家都有相關的制度所以你能不能參照這個水保法用相關水保法的這個保證金繳納跟保管應用辦法裡面的精神這個能不能用這個方式
transcript.whisperx[294].start 8006.844
transcript.whisperx[294].end 8016.319
transcript.whisperx[294].text 如果萬一發生他業者脫產或行為人士脫產或倒閉拒不准付那這部分怎麼處理
transcript.whisperx[295].start 8018.736
transcript.whisperx[295].end 8040.834
transcript.whisperx[295].text 這個我們好好來思考這個問題啦因為這個保證金的加儲的話是不是他會藉此來免除他的這個責任那除此之外的話我們現行在執行法規上面比較會防止他脫產可能會實施情節嚴重或是代理行銷扣押你組織性犯罪行為集團性絕對他後路已經斷好了
transcript.whisperx[296].start 8041.772
transcript.whisperx[296].end 8059.788
transcript.whisperx[296].text 他覺得早就脫產了所以你能夠借盡歐盟跟美國這相關的制度歐盟是財務保證美國是婦肯保證金所以這些國家都用這種方式去處理何況我們的情況比他們更嚴重許多對不對
transcript.whisperx[297].start 8060.629
transcript.whisperx[297].end 8082.723
transcript.whisperx[297].text 不過這個部分他相關國家的規定是針對合法的這個沙石廠他提出申請的時候可能要有一些的保證金但是非常感謝委員提供這些資料啦我們是不是將來這個法規就通過之後我們必定執法來思考這個我還是很重視就是說執行面執行面一定要有預算又有人力
transcript.whisperx[298].start 8083.323
transcript.whisperx[298].end 8096.511
transcript.whisperx[298].text 然後又有設備 有相關的配套制度這點提醒經濟部 修法一定會通過但是要怎麼去落實 要靠跨部會 要靠中央跟地方政府同理合作好 謝謝 好 謝謝委員長好 謝謝邱志偉委員 蔣委員 謝謝榮次郎那我們現在休息八分鐘
transcript.whisperx[299].start 8365.564
transcript.whisperx[299].end 8365.665
transcript.whisperx[299].text 谢谢观看
transcript.whisperx[300].start 8409.029
transcript.whisperx[300].end 8409.109
transcript.whisperx[300].text 谢谢观看
transcript.whisperx[301].start 8441.271
transcript.whisperx[301].end 8453.261
transcript.whisperx[301].text 由 Amara.org 社群提供的字幕
transcript.whisperx[302].start 8489.676
transcript.whisperx[302].end 8492.329
transcript.whisperx[302].text MING PAO CANADA MANGA
transcript.whisperx[303].start 8570.469
transcript.whisperx[303].end 8600.179
transcript.whisperx[303].text 響鐘
transcript.whisperx[304].start 8605.104
transcript.whisperx[304].end 8605.266
transcript.whisperx[304].text 谢谢观看,下次见!
transcript.whisperx[305].start 8670.715
transcript.whisperx[305].end 8694.761
transcript.whisperx[305].text 好 我們繼續開會盧憲一 盧憲一 盧憲一委員葉元之 葉元之 葉元之委員何新淳 何新淳 何新淳委員接下來我們請蔡育委員質詢謝謝主席那我們是不是有請經濟部次長經濟部次長
transcript.whisperx[306].start 8703.345
transcript.whisperx[306].end 8725.991
transcript.whisperx[306].text 市長那我想當那是颱風那造成從嘉義布袋登錄嘛那在去年是造成整個嘉義那不管是電線桿倒了兩千多隻那或者是一些復原的事情事實上台電是真的當時是感受就是非常的辛苦
transcript.whisperx[307].start 8726.691
transcript.whisperx[307].end 8746.763
transcript.whisperx[307].text 非常感謝委員在那個時候給台電公司跟經濟部的協助當然啦齁這個協助是一定要啦齁只是說我們從那裡可以看出說不管是台電員工或者這一些外包的廠商他們這些員工這個工作量在當時幾乎都是一個超量工作超時工作啦齁
transcript.whisperx[308].start 8747.383
transcript.whisperx[308].end 8761.316
transcript.whisperx[308].text 那也礙於說因為大家希望儘速搶修嘛所以就是就有這樣的一個背景之下那當時甚至發生了這個台電的員工齁這個在高峰作業的時候不幸齁那被高壓電去電然後
transcript.whisperx[309].start 8763.658
transcript.whisperx[309].end 8784.588
transcript.whisperx[309].text 這個搶救不自然那這個我想是大家心裡的一個痛那我也是希望用這個事情事實上再去點出一些職工福利的問題那我們知道說台電的職工福利他有一個計算模式那經濟部的一個模式是以台電的營業收入他必須要扣除政府的補助收入扣除能
transcript.whisperx[310].start 8785.348
transcript.whisperx[310].end 8795.077
transcript.whisperx[310].text 核能後端營運收入以及扣除電價調整因素然後再乘以所謂0.12%再加上下繳料變賣的收入乘以40%
transcript.whisperx[311].start 8796.263
transcript.whisperx[311].end 8824.561
transcript.whisperx[311].text 那我們也看到說事實上這個0.12%是從95年0.15然後96年是0.13到了102年只剩下0.1那到了現在是恢復到了0.12較往常的0.15是比較低那第二個是因為有這個電價調整因素的存在讓台電的職工福利一直處在於說相對於其他的國營事業職工福利就是比較低
transcript.whisperx[312].start 8825.061
transcript.whisperx[312].end 8846.773
transcript.whisperx[312].text 那這個職工福利低當然會金額是差距差不多一萬三千塊但是這會影響到了畢竟還是所有員工的一個士氣問題那我想經濟部既然說我們站在這一個台電確實在這段期間不管是他承擔了國家的很多一些一些電價穩定的一些成本那以及
transcript.whisperx[313].start 8851.015
transcript.whisperx[313].end 8875.611
transcript.whisperx[313].text 我們知道說他們在這段時間如果遇到颱風要復電的一個辛苦我們是不是可以進一步來檢討這一套計算模式呢非常感謝委員對於我們台電同仁的關心台電有3萬多個員工那剛剛委員所垂詢的問題在民國97年的時候立法院有做這個決議把對價漲調漲的這個因素把它當為減項
transcript.whisperx[314].start 8880.374
transcript.whisperx[314].end 8906.817
transcript.whisperx[314].text 那我們也期待說或是未來卓氏大院可以來支持的話可以讓我們的所有的國營事業特別是台電公司在這個部分有可以得到一個改善那近年來經濟部協助台電公司不管是從員工基層員工的收入的部分有證照的部分我們要來加薪那委員所垂詢的這個部分我們是不是期待我們
transcript.whisperx[315].start 8906.957
transcript.whisperx[315].end 8930.749
transcript.whisperx[315].text 所以市長你的意思是說因為在97年的時候有立法院的決議認為說必須要把電價調整調漲因素列為這個台電職工福利計算的一個檢向那如果這個決議我們現在如果立法院再形成一個新的決議你們經濟部也是支持這樣來讓我們職工台電員工的職工福利可以來提高嗎
transcript.whisperx[316].start 8931.568
transcript.whisperx[316].end 8956.37
transcript.whisperx[316].text 我們會依照這個立法院的這個決議來辦理相關預算的編列好那我再問第二個這個關於自來水的問題是這個我相信次長一定很清楚經濟部在補助這個管線自來水管線的延伸你們還是有一套計算模式是計算模式大概是以每戶他的成本大概是80萬
transcript.whisperx[317].start 8958.252
transcript.whisperx[317].end 8972.183
transcript.whisperx[317].text 那如果是遇到在水庫的水源地那以及原住民原民區原住民保留地那會提高到100萬那我現在有我比較在意的是在這個100萬這100萬就是說
transcript.whisperx[318].start 8976.022
transcript.whisperx[318].end 8995.379
transcript.whisperx[318].text 因為他就在水庫的水源地基本上水庫的水源地第一負數比較少 負數也不多但是他周邊都是一直長久是沒有自來水的縱使要用也要用簡易自來水可是簡易自來水又得讓他們去負擔為後端營運的一個費用
transcript.whisperx[319].start 8997.213
transcript.whisperx[319].end 9013.181
transcript.whisperx[319].text 那以他們在自來水庫旁邊 比如說我們嘉義 咱們水庫咱們水庫是在我們嘉義的大埔鄉他們那裡基本上本身這個交通就不便
transcript.whisperx[320].start 9015.365
transcript.whisperx[320].end 9027.098
transcript.whisperx[320].text 你要叫他們發展水庫周邊的一個觀光產業也沒有那麼簡單發展我們知道那裡最近才一家那裡的一個旅社也是停下來了
transcript.whisperx[321].start 9032.529
transcript.whisperx[321].end 9056.685
transcript.whisperx[321].text 對 所以就是說如何讓至少在水庫住在水庫附近的居民有自來水可以吃 有自來水所以我感覺這個是我們應該去協助他們我們應該協助他們所以我們當時訂了這一百萬當然是說相對於平原區他們接管他們的比例是他們需要的當然是這個看起來是一百萬可是
transcript.whisperx[322].start 9057.305
transcript.whisperx[322].end 9069.49
transcript.whisperx[322].text 這一百萬對於說他們這個火手本身的救啊所以他們還是處在一個看得到吃不到所以有沒有可能來檢討這一個一百萬就是說我就住在水庫旁邊我們家事實上我們這個火手也是比較救有的就這樣不然事情也會提高到一倍一百六十萬這樣
transcript.whisperx[323].start 9076.933
transcript.whisperx[323].end 9086.937
transcript.whisperx[323].text 首先感謝委員 因為我們水庫一年百合賣可能就差一兩百多元差重點 對啦 要刷訂那成本很高的嘛 是是是過去這六十萬我們現在提供到八十萬 甚至於說水庫的部分 水庫幣我們提供到一百萬
transcript.whisperx[324].start 9093.6
transcript.whisperx[324].end 9119.935
transcript.whisperx[324].text 我現在有兩個方向來處理啦一個方向就是說是不是台水公司啊儲水池啊可以增加譬如說我們最近在阿里山那裡儲水池增大的時候它不要攤提到這個整個的沿管的成本裡面它供水可以穩定那至於說那些所謂的無自來水地區或是簡易自來水設施在今年應該是去年
transcript.whisperx[325].start 9121.894
transcript.whisperx[325].end 9150.109
transcript.whisperx[325].text 前年那個卓院長有核定了無自來水地區供水改善計畫對於所謂的簡易自來水的部分補助儲水設施然後加裝所謂的淨水設施的這個部分來努力那至於剛剛委員所講的這些個案我們用個案來做一個檢討看看怎麼樣可以減少那個成本的分子的部分分母的部分沒有辦法改變嘛
transcript.whisperx[326].start 9151.002
transcript.whisperx[326].end 9167.816
transcript.whisperx[326].text 分母是固定的分子當然是讓它減少下來那分母的部分我是覺得說有沒有可能進一步去檢討因為我們現在是抓100那100我們不能說因為它就是在水庫旁邊那能不能檢討一下就是說120也好
transcript.whisperx[327].start 9170.098
transcript.whisperx[327].end 9194.805
transcript.whisperx[327].text 對不對 你把他拿高起來 他們要去爭取這個預算的機會才會提高不然你現在來說 本來他們那邊設定的一戶一戶都是距離很遙遠啊對啊 因為對的 住在水庫旁邊沒有水塘用這是很荒謬的啦 我是覺得說我們這裡就是水庫旁邊水質水源保護區所以我們土地又受到更大的限制
transcript.whisperx[328].start 9195.585
transcript.whisperx[328].end 9215.186
transcript.whisperx[328].text 在這樣的限制之下,我們連最基本的自來水沒辦法吃,沒出來最好吃。我覺得這些是有一點呈現就是說,早期國家在發展的時候,對於一些居民的一個矛盾點。那我們現在整體的國家現在稅收是看起來,
transcript.whisperx[329].start 9216.187
transcript.whisperx[329].end 9234.613
transcript.whisperx[329].text 是正成長的 稅收很好至少多拿一點預算然後來解決這些矛盾的事情不然說出來真的會被罵我們做的水庫瓶 我沒有做到最好吃這主流網都有啦 是我們就依照委員的指示的方向你們檢討看看啦 當然你剛才說的如何減少分子 把蓄水池加大還是怎樣 但是
transcript.whisperx[330].start 9239.955
transcript.whisperx[330].end 9254.203
transcript.whisperx[330].text 我們如果那思考的是叫做簡易自來水簡易自來水永遠還是有後端的營運成本那後端的營運成本還是得讓這些居民他們得去成立一個如何管理簡易自來水所以又要負擔額外的一個費用
transcript.whisperx[331].start 9256.084
transcript.whisperx[331].end 9277.212
transcript.whisperx[331].text 所以包括入休費啦 挖入這些費用分子的部分我們來檢討一下是啊 入休費我們事實上也可以找縣政府或是公路局就是說如果要入休的時候 一併入休那就把入休費不要納為我們這一次嚴管的它的費用的一個分子裡面這個都可以討論嘛對對對 我們來設想好不好好不好 好 謝謝好 我們謝謝這個蔡議員
transcript.whisperx[332].start 9286.397
transcript.whisperx[332].end 9310.2
transcript.whisperx[332].text 登記發言委員除不在場外 取決於發言完畢 詢答結束委員 邱毅銀 鄭天才 陳超明 柯志恩所提書面質詢列入記錄刊登公報書面質詢和未及答覆部分請相關單位一週內以書面答覆並複製本會委員並要求期限者從期鎖定
transcript.whisperx[333].start 9317.895
transcript.whisperx[333].end 9347.122
transcript.whisperx[333].text 我們現在進行逐條討論請議事人員宣讀所有條文若有修正動議及附帶決議請一併宣讀宣讀完畢後再進行協商請宣讀土石採取法部分條文修正草案委員吳麗華等人提案第三條增訂第一項第七款其原住民於原住民族地區內因傳統文化忌遺或非營利目的採取少量土石者
transcript.whisperx[334].start 9347.862
transcript.whisperx[334].end 9372.175
transcript.whisperx[334].text 增訂第一項第八款 原住民於原住民族地區內因新修建傳統石板屋形式之住宅、機關學校、教會或公共設施而需要石板者與同現行條文委員黃仁等人提案第三條 修正第一項第六款原住民依原住民族基本法第十九條規定採取土石者
transcript.whisperx[335].start 9372.615
transcript.whisperx[335].end 9397.617
transcript.whisperx[335].text 增訂第一項第七款 其因新修建原住民族傳統聚會所石板屋或地下屋等形式之住宅教會機關學校或公共設施所需者第二項修正前項第六款及第七款採取土石之數量由中央主管機關會同中央原住民族主管機關公告之與同線型條文
transcript.whisperx[336].start 9398.197
transcript.whisperx[336].end 9405.307
transcript.whisperx[336].text 委員鄭天才等人提案第三條 增訂第一項第七款 欺原住民或部落於原住民族地區及傳統領域
transcript.whisperx[337].start 9406.967
transcript.whisperx[337].end 9435.575
transcript.whisperx[337].text 內因傳統文化跡遺或非營利目的致用者 增訂第一項第八款八原住民族地區內因新修建傳統石板屋形式之住宅機關學校教會或公共設施而需要石板才者 與同現行條文委員鄭天才盧憲宜等人修正動議第三條第一項第六款及第七款同委員黃仁第一項第六款及第七款 增訂第一項第八款八原住民族
transcript.whisperx[338].start 9437.25
transcript.whisperx[338].end 9454.637
transcript.whisperx[338].text 原住民部落為實施部落自主災救災防救環境維護需求於原住民族地區內採取少量土石工工藝或非營利墓地使用者第二項同委員黃仁等人提案
transcript.whisperx[339].start 9455.177
transcript.whisperx[339].end 9472.716
transcript.whisperx[339].text 前項第六款第七款第八款採取土石數量由中央主管機關會同中央原住民族主管機構公告之餘同現行條文委員鄭天才等人修正動議第三條同委員鄭天才等人提案委員中嘉賓吳麗華等人修正動議第三條
transcript.whisperx[340].start 9474.133
transcript.whisperx[340].end 9485.14
transcript.whisperx[340].text 增訂第一項第七款七原住民或部落於原住民族土地一原住民族基本法第十九條第一項第三款規定採取土石者
transcript.whisperx[341].start 9487.97
transcript.whisperx[341].end 9514.919
transcript.whisperx[341].text 增訂第八款八原住民族土地內因新修建原住民傳統石板屋或地下屋等形式之住宅教會機關學校聚落所或公共設施所需者增訂第九款原住民或部落於原住民族土地未實施部落自主災害防救環境美化與維護所需者
transcript.whisperx[342].start 9517.178
transcript.whisperx[342].end 9538.351
transcript.whisperx[342].text 第二項莫具增訂涉及原住民及原住民族部落者由中央主管機關會同原住民族委員會定之與同現行條文委員黃仁提案第十四條直轄縣市主管機關審核申請土石採取
transcript.whisperx[343].start 9539.269
transcript.whisperx[343].end 9555.568
transcript.whisperx[343].text 許可案時應會同水利水土保持交通環境保護土地使用土地管理及其他與申請案件地點相關機關實地勘查經依法審核任務為凡足
transcript.whisperx[344].start 9556.28
transcript.whisperx[344].end 9580.539
transcript.whisperx[344].text 主管法令請示因許可者提送審核結果並同申請書件報請中央主管機關附和後由直轄縣市主管機關核發土石採取許可證前項申請案件地點位於原住民族土地或部落及其周邊一定範圍內之公有土地
transcript.whisperx[345].start 9581.059
transcript.whisperx[345].end 9606.44
transcript.whisperx[345].text 土石採取申請人應依原住民族基本法第21條規定辦理委員鄭天才等人提案第14條增訂第二項前項申請案件地點位於原住民族土地或部落之公私有土地及部落周邊一定範圍內之公有土地土石採取申請人應依原住民族基本法第21條規定辦理委員鄭天才等人
transcript.whisperx[346].start 9607.631
transcript.whisperx[346].end 9632.872
transcript.whisperx[346].text 修正動議第14條同委員鄭天才等人提案委員鍾嘉斌吳立華等人修正動議第14條新增第二項前項申請土石採取許可之土地位於原住民族土地或部落及其周邊一定範圍內之公有土地者土石採取申請人應依原住民族基本法第21條規定辦理與同現行條文
transcript.whisperx[347].start 9638.447
transcript.whisperx[347].end 9665.139
transcript.whisperx[347].text 行政院提案第36條第一項修正未經許可採取土石者儲新台幣100萬元以上1000萬元以下法源並得沒入行為人使用之載運車輛或其他機械設備直轄縣市主管機關應限其令行為人依第六項規定完成整復該場址及清除其設施
transcript.whisperx[348].start 9665.768
transcript.whisperx[348].end 9687.473
transcript.whisperx[348].text 借其未完成者處心台幣十萬元以上兩百萬元以下法源並按次處罰必要時得由直轄市縣市主管機關代為整複該場址及清除其設施其費用由行為人負擔增訂第三項意圖營利有第一項未經許可採取土石情形者處五年以
transcript.whisperx[349].start 9687.873
transcript.whisperx[349].end 9705.801
transcript.whisperx[349].text 以下有期徒刑 得併科新台幣五千萬元以下罰金 增訂第四項前項情形滯釀成災害者處一年以上七年以下有期徒刑 得併科新台幣六千萬元以下罰金 因而致人與死死死者無
transcript.whisperx[350].start 9706.414
transcript.whisperx[350].end 9727.623
transcript.whisperx[350].text 處無期徒刑或7年以上有期徒刑得併科新台幣1億元以下罰金至重傷者處3年以上10年以下有期徒刑得併科新台幣8千萬元以下罰金現行條文第三項一列為第五項並著修文字增訂第六項第一項整附不得使用廢棄物整附
transcript.whisperx[351].start 9728.243
transcript.whisperx[351].end 9744.373
transcript.whisperx[351].text 得使用之物料實施方法及其他相關事項由中央主管機關、會商主管機關公告之。於同現行條文,委員邱毅英等人提案第36條第一項行政法源修正處新台幣100萬元以上、2500萬元以下法源
transcript.whisperx[352].start 9750.197
transcript.whisperx[352].end 9771.776
transcript.whisperx[352].text 連續處罰法源修正為處新台幣10萬元以上500萬元以下法源莫具增訂若土地所有人明知有未經許可採取土石之行為而未通報主管機關者得視為行為人處罰等文字增訂第二項運輸不罰土石之駕駛人得吊扣其駕駛執照6個月至1年
transcript.whisperx[353].start 9774.378
transcript.whisperx[353].end 9786.273
transcript.whisperx[353].text 情形重大者或雷犯者得廢止其駕駛執照 增訂第三項車行或運輸業者明知其所屬車輛涉入未經許可才取或運輸土石
transcript.whisperx[354].start 9787.25
transcript.whisperx[354].end 9813.125
transcript.whisperx[354].text 人提供車輛或縱容其駕駛人為之者處刑台幣兩百萬元以上一千萬元以下法源並得調扣或廢止其車輛行駛駕照現行條文第二項及第三項第一為第四項及第五項與同現行條文委員賴樂榮等人提案第三十六條第一項行政法源修正為處刑台幣一千萬元以上五億元以下法源
transcript.whisperx[355].start 9814.529
transcript.whisperx[355].end 9839.315
transcript.whisperx[355].text 連續處罰法源修正為新台幣100萬元以上1000萬元以下法源及著修文字外與同線型條文委員許智傑等人提案第36條第一項聚首修正未經許可採取土石者及土地所有人之稀有未經許可採取土石之行為為主動通報主管機關者處新台幣200萬元以上1000萬元以下法源連續處罰法
transcript.whisperx[356].start 9840.939
transcript.whisperx[356].end 9862.268
transcript.whisperx[356].text 原修正為處新台幣20萬元以上200萬元以下法源 增訂第二項自身水土流失或毀損水土保持之前項行為者處6月以上5年以下有期徒刑 得併科新台幣100萬元以上罰金但其情節輕微可 前可
transcript.whisperx[357].start 9863.281
transcript.whisperx[357].end 9887.182
transcript.whisperx[357].text 閩述者得減輕或免除其刑增訂第三項第一項刑刑至釀成災害者加重其刑至二分之一因而至人與死者處五年以上十二年以下有期徒刑得併科新台幣一千萬元以下罰金至重傷者處三年以上十年以下有期徒刑得併科新台幣五百萬元以下罰金
transcript.whisperx[358].start 9888.142
transcript.whisperx[358].end 9911.111
transcript.whisperx[358].text 現行條文第二項及第三項定義為第四項及第五項與同現行條文委員柯之恩等人提案第36條第一項行政法源修正處心台幣一千萬元以上五千萬元以下法源連續處罰法源修正為處心台幣一百萬元以上一千萬元以下法源增訂第二項前項自身水浦
transcript.whisperx[359].start 9912.091
transcript.whisperx[359].end 9939.413
transcript.whisperx[359].text 流失污染或毀損水土保持之處理與維護設施者處六個月以上五年以下有期徒刑得併科新台幣以六十萬元以下罰金有棄置廢土廢棄物或其他足以置身公共危險者處五年以以下有期徒刑得併科新台幣五十萬元以上五百萬元以下罰金增訂第三項第二項情形質量
transcript.whisperx[360].start 9940.051
transcript.whisperx[360].end 9943.965
transcript.whisperx[360].text 成災害者加重其刑制二分之一
transcript.whisperx[361].start 9945.233
transcript.whisperx[361].end 9974.661
transcript.whisperx[361].text 因而致人於死者處五年以上十二年以下有期徒刑得併科新台幣一百萬元以上一百萬元以下罰金致重傷者處三年以上十年以下有期徒刑得併科新台幣八十萬元以下罰金現行條文第二項及第三項第一為第四項及第五項與同現行條文委員邱正軍等人提案第三十六條第一項行政法源修正處新台幣一千萬元以上五千萬元以下法源
transcript.whisperx[362].start 9976.275
transcript.whisperx[362].end 9994.327
transcript.whisperx[362].text 連續處罰罰員修正為處新台幣一百萬元以上一千萬元以下罰員莫二據增訂直轄縣市主管機關因聯合環境主管機關與整複前後確認有無填埋廢棄物情形如有填埋廢棄物除因依
transcript.whisperx[363].start 9995.424
transcript.whisperx[363].end 10013.563
transcript.whisperx[363].text 依法處罰並應辦理清除及整復與同現行條文委員陳廷飛等人提案第36條第一項具首修正未經許可採取土石者其及土地所有人之稀有未經許可採取土石行為且主動通報主管機關者
transcript.whisperx[364].start 10015.266
transcript.whisperx[364].end 10031.957
transcript.whisperx[364].text 處新台幣500萬元以上2500萬元以下罰原連續處罰罰原修正為處新台幣50萬元以上500萬元以下罰原增訂第二項前項行為自身水土流失或毀損水土保持之情節嚴重者處6個月
transcript.whisperx[365].start 10033.178
transcript.whisperx[365].end 10057.246
transcript.whisperx[365].text 以上五年以下有期徒刑得病科刑台幣一千萬元以下罰金增訂第三項運輸不罰土石之駕駛人得吊扣其駕駛執照六個月至一年情節重大者或累犯者得廢止其駕駛執照現行條文第二項及第三項第一為第四項及第五項與同現行條文委員丁學中等人提案第三十六條第一項
transcript.whisperx[366].start 10058.627
transcript.whisperx[366].end 10078.424
transcript.whisperx[366].text 行政法源修正處新台幣100萬元以上1500萬元以下法源並得沒入行為人使用之機械設備及載運車輛直轄縣市主管機關並因限期令其行為人完成該長職整複及清除其設施借其為完成者連續處
transcript.whisperx[367].start 10080.691
transcript.whisperx[367].end 10107.884
transcript.whisperx[367].text 連續處罰罰原修正為處新台幣10萬元以上200萬元以下罰原增訂第三項意圖營利有第一項未經許可採取土石傾行者處三年以上有期徒刑得併科新台幣3000萬元以下罰金現行條文第三項定義為第四項並著修文字與同現行條文台灣民眾黨團提案第36條第一項行政罰原修正處新台幣2000萬元以上1億元以下罰原
transcript.whisperx[368].start 10109.204
transcript.whisperx[368].end 10133.854
transcript.whisperx[368].text 連續處罰法源修正為處新台幣200萬元以上2000萬元以下法源 如同現行條文委員林倩琴等人提案第36條第一項行政法源修正為處新台幣1000萬元以上5000萬元以下法源連續處罰法源修正為新台幣100萬元以上1000萬元以下法源 增訂第二項前項置身污染水土流失或毀損水土保持之處理與維護設施者處6個月6
transcript.whisperx[369].start 10137.295
transcript.whisperx[369].end 10164.838
transcript.whisperx[369].text 處六月以上五年以下有期徒刑得併科興台幣六十萬元以下罰金有棄置營建剩餘土石方廢棄物或其他置身公共危險者處一年以上五年以下有期徒刑得併科興台幣一千五百萬元以下罰金增訂第三項第二項情形至釀成災害者加重其刑至二分之一因而置人於死者處五年以上
transcript.whisperx[370].start 10166.34
transcript.whisperx[370].end 10180.84
transcript.whisperx[370].text 12年以下有期徒刑 得病科新台幣100萬元以下罰金 致重傷者處3年以上10年以下有期徒刑 得病科新台幣80萬元以下罰金現行條文第二項及第三項 第一為第四項及第五項 與同現行條文
transcript.whisperx[371].start 10182.915
transcript.whisperx[371].end 10205.208
transcript.whisperx[371].text 委員徐巧興等人提案第36條同委員柯志恩等人提案委員汪洪威等人提案第36條除第1項第3具起修正並得沒入行為人使用之機械設備或載運車輛直轄縣市主管機關並應縣期令行為人依第6項規定完成整復該場址
transcript.whisperx[372].start 10206.499
transcript.whisperx[372].end 10228.384
transcript.whisperx[372].text 及清除其設施 藉其為完成者按日連續儲新台幣10萬元以上200萬元以下罰原並得按次處罰及第三項意圖盈利儲新台幣3000萬元以下罰金外於同行政院提案委員廖偉祥等人提案第36條同行政院
transcript.whisperx[373].start 10229.38
transcript.whisperx[373].end 10241.7
transcript.whisperx[373].text 提案委員洪玉祥等人所提修正動議第36條第一項修正未經許可採取土石者處心台幣2000萬元以上1億元以下法源並應沒入行為人
transcript.whisperx[374].start 10243.323
transcript.whisperx[374].end 10271.519
transcript.whisperx[374].text 並因沒入行為人使用之機械設備及載運車輛直轄縣市主管機關並因限其令行為人完成該長職整複及清除其設施藉其未完成者應按日連續處新台幣200萬元以上2000萬元以下罰員至整複及清除完成為止或由直轄縣市主管機關令定其限待為整複及清除其設施
transcript.whisperx[375].start 10272.904
transcript.whisperx[375].end 10288.584
transcript.whisperx[375].text 其費用由行為人負擔於同行政院提案第二項至第五項委員邱毅英等人提案第37條莫具罰還修正為
transcript.whisperx[376].start 10291.019
transcript.whisperx[376].end 10308.105
transcript.whisperx[376].text 儲新台幣100萬元以上2500萬元以下罰還 於同現行條文委員賴瑞榮等人提案第37條 莫具罰緩修正為儲新台幣1000萬元以上1億元以下罰還 於同現行條文委員邱益穎等人提案第38條第二句罰緩修正為儲新台幣100萬元以上1000萬元以下罰還 於同現行條文委員賴瑞榮等人提案第38條第二句
transcript.whisperx[377].start 10318.51
transcript.whisperx[377].end 10337.223
transcript.whisperx[377].text 法環修正為儲新台幣500萬元以上5000萬元以下法環與同現行條文委員邱正軍等人提案第38條第二句法環修正為儲新台幣100萬元以上500萬元以下法環與同現行條文台灣民眾黨團提案第38條第二句法環修正為儲新台幣500萬元以上
transcript.whisperx[378].start 10338.784
transcript.whisperx[378].end 10358.362
transcript.whisperx[378].text 兩千五百萬元以下罰還並著修文字與同線型條文委員林倩琦等人提案第三十八條同委員邱政軍等人提案委員邱毅英等人提案第三十九條續文罰還修正為儲新台幣一百萬元以上一千萬元以下罰還第二項莫具增訂
transcript.whisperx[379].start 10360.296
transcript.whisperx[379].end 10369.003
transcript.whisperx[379].text 該區域土石五年內禁止採取土石以回復環境等文字外於同現行條文委員賴樂榮等人提案第39條序文序文罰還修正為儲新台幣200萬元以上1000萬元以下罰還與同現行條文委員邱正軍等人提案第39條序文罰還修正為
transcript.whisperx[380].start 10381.134
transcript.whisperx[380].end 10395.405
transcript.whisperx[380].text 儲新台幣100萬元以上500萬元以下罰還與同現行條文委員林倩琦等人提案第39條同委員邱政軍等人提案委員邱毅英等人提案第40條續文罰還修正為儲新台幣20萬元以上500萬元以下罰還與同現行條文台灣民眾黨黨團提案第41條第一項續文罰還修正為儲新台幣30萬元以上
transcript.whisperx[381].start 10406.313
transcript.whisperx[381].end 10433.155
transcript.whisperx[381].text 三百萬元以下罰還第一項第二具第二款墨具增訂或其記載內容與實際莊宅者不符者等文字增訂第二項前項行為自土石非法流入農地林地山坡地水源保護區或有記載不實偽造者主管機關應加重處罰並得廢止其土石採取許可宣讀完畢
transcript.whisperx[382].start 10440.182
transcript.whisperx[382].end 10449.642
transcript.whisperx[382].text 好 我們先休息等一下我們在等委員進來之前休息多久
transcript.whisperx[383].start 10466.058
transcript.whisperx[383].end 10482.992
transcript.whisperx[383].text 你唱不出名字。你唱不出名字。你唱不出名字。你唱不出名字。你唱不出名字。
transcript.whisperx[384].start 10498.331
transcript.whisperx[384].end 10498.491
transcript.whisperx[384].text 是這樣嗎是這樣
transcript.whisperx[385].start 10536.701
transcript.whisperx[385].end 10538.343
transcript.whisperx[385].text 謝謝大家
transcript.whisperx[386].start 10578.533
transcript.whisperx[386].end 10580.656
transcript.whisperx[386].text 然後就踩在那邊去 踩在那邊去
transcript.whisperx[387].start 10619.279
transcript.whisperx[387].end 10619.7
transcript.whisperx[387].text 蜜桃
transcript.whisperx[388].start 10645.384
transcript.whisperx[388].end 10645.404
transcript.whisperx[388].text 鞭筍
transcript.whisperx[389].start 10675.998
transcript.whisperx[389].end 10686.596
transcript.whisperx[389].text 響鐘
transcript.whisperx[390].start 10777.182
transcript.whisperx[390].end 10780.526
transcript.whisperx[390].text 蜂蜜
transcript.whisperx[391].start 10795.66
transcript.whisperx[391].end 10812.667
transcript.whisperx[391].text 這裏面的位置還蠻差的這裏面的位置還蠻差的這裏面的位置還蠻差的這裏面的位置還蠻差的這裏面的位置還蠻差的
transcript.whisperx[392].start 10826.119
transcript.whisperx[392].end 10828.44
transcript.whisperx[392].text 沒了沒了沒了沒了沒了
transcript.whisperx[393].start 10855.607
transcript.whisperx[393].end 10879.861
transcript.whisperx[393].text 這裏有個機器在那裏有個機器在那裏這裏有個機器在那裏
transcript.whisperx[394].start 10886.512
transcript.whisperx[394].end 10887.434
transcript.whisperx[394].text 檢查也是這樣做
transcript.whisperx[395].start 10917.332
transcript.whisperx[395].end 10920.06
transcript.whisperx[395].text 謝謝收看,下次見
transcript.whisperx[396].start 10943.864
transcript.whisperx[396].end 10967.176
transcript.whisperx[396].text 這件事情我都試過,那我可能再說一遍,是不是?因為我剛到我的身上,我的第一的耳機,因為我記得,因為我以前在台灣,你看到我把耳機的耳機給我用一手,就是這樣,這樣你聽不聽得懂,就是這樣,這樣,這樣,這樣,這樣,這樣,這樣,這樣,這樣,這樣,這樣,這樣,
transcript.whisperx[397].start 10984.777
transcript.whisperx[397].end 10987.401
transcript.whisperx[397].text 蜂蜜
transcript.whisperx[398].start 11010.331
transcript.whisperx[398].end 11013.593
transcript.whisperx[398].text 這裏有個大廈,是一間大廈
transcript.whisperx[399].start 11039.019
transcript.whisperx[399].end 11039.099
transcript.whisperx[399].text 蜂蜜
transcript.whisperx[400].start 11065.085
transcript.whisperx[400].end 11065.205
transcript.whisperx[400].text 蕃茄
transcript.whisperx[401].start 11131.812
transcript.whisperx[401].end 11134.394
transcript.whisperx[401].text 謝謝收看,下次見
transcript.whisperx[402].start 11155.603
transcript.whisperx[402].end 11155.864
transcript.whisperx[402].text 蕃茄
transcript.whisperx[403].start 11182.45
transcript.whisperx[403].end 11187.872
transcript.whisperx[403].text OK 沒事
transcript.whisperx[404].start 11230.213
transcript.whisperx[404].end 11230.533
transcript.whisperx[404].text 謝謝大家
transcript.whisperx[405].start 11245.665
transcript.whisperx[405].end 11245.905
transcript.whisperx[405].text 主席
transcript.whisperx[406].start 11308.434
transcript.whisperx[406].end 11310.313
transcript.whisperx[406].text 嗯嗯
transcript.whisperx[407].start 11387.437
transcript.whisperx[407].end 11387.457
transcript.whisperx[407].text 謝謝觀看
transcript.whisperx[408].start 11390.06
transcript.whisperx[408].end 11392.562
transcript.whisperx[408].text 我可以来整齐吗
transcript.whisperx[409].start 11418.818
transcript.whisperx[409].end 11435.595
transcript.whisperx[409].text 這間餐廳有很多不同的餐廳,例如餐廳餐廳,餐廳餐廳,餐廳餐廳,餐廳餐廳
transcript.whisperx[410].start 11443.646
transcript.whisperx[410].end 11451.514
transcript.whisperx[410].text 好 我們現在協商土石採取法部分條件修正草案那我們先從第三條開始討論那這個請經濟部說明一下
transcript.whisperx[411].start 11464.748
transcript.whisperx[411].end 11489.329
transcript.whisperx[411].text 首先有關於第三條的部分剛剛武力法委員已經提到了在原住民落實原住民積分法的部分那經濟部是同意說把相關所需要的需求再透過這次的修正動議在原來第三條的條文裡面做一個修改不過我們是建議說是不是它的文字的話第一個樣態的部分我們是同意
transcript.whisperx[412].start 11489.969
transcript.whisperx[412].end 11508.318
transcript.whisperx[412].text 但是實施的區域是不是比如說在第3條的第1項第7款的部分武力法委員提案說原住民或部落於原住民族土地那我們建議說是把它改成原住民依原住民基本法第19條
transcript.whisperx[413].start 11510.319
transcript.whisperx[413].end 11535.469
transcript.whisperx[413].text 第一項第三款規定那這個不要去區分說這個部落或是原住民族土地讓執法人員可以更得到可以在執行上面的需求第八條的部分我們也是建議同樣的修正第八款第九款都是如此好謝謝次長主席我同意次長的修正意見
transcript.whisperx[414].start 11536.929
transcript.whisperx[414].end 11564.062
transcript.whisperx[414].text 所以我們建議第三條第一項第七款修正為原住民依原住民基本法第十九條第一項第三款規定採取土石者第八條增訂因新修建原住民傳統石板屋或地下屋等形式之住宅教會機關學校聚會場所或公共設施使用者增訂第九款原住民族部落
transcript.whisperx[415].start 11565.643
transcript.whisperx[415].end 11570.515
transcript.whisperx[415].text 實施部落自主防災防救與環境維護所需者以上
transcript.whisperx[416].start 11571.001
transcript.whisperx[416].end 11597.532
transcript.whisperx[416].text 好 以上文字主席我這邊沒因為剛剛我收到那個鄭天才委員他在這一個就是說他認為這樣子的修正動議在沒有把那個部落於原住民族地區跟傳統領域內因傳統文化技藝等等這寫進去他覺得範圍會比較小一點如果按照這個你剛剛念的你們經濟部的回應會是什麼
transcript.whisperx[417].start 11600.219
transcript.whisperx[417].end 11628.738
transcript.whisperx[417].text 因為他很堅持他就是很堅持在14條裡面就會顯示了我們現在談第三條鄭天才委員所說的修正動議他的第三條第七款跟第八七八這兩個他很堅持那個主席
transcript.whisperx[418].start 11629.758
transcript.whisperx[418].end 11644.642
transcript.whisperx[418].text 因為本來那個那個吳委員所寫的修緣動議是參考那個對不對有把各個原住民委員的意見納進去沒有因為我本來就有版本那我只是因為基於
transcript.whisperx[419].start 11646.403
transcript.whisperx[419].end 11671.894
transcript.whisperx[419].text 地礦中心我們有來辦公室討論所以我做了尊重意見做了這樣的修正但是沒有關係主席我補充一下那個意思因為最主要是那個原基法的第十九條因為我原本就是寫因傳統文化記憶或非營利目的那其實那個就是原基法第十九條的文字對那個本來
transcript.whisperx[420].start 11674.255
transcript.whisperx[420].end 11697.833
transcript.whisperx[420].text 那個就是鄭天才委員所期待修正的就是我剛剛念的第七款原住民基本法第十九條第一項第三款規定其實說那個我的意思是說換他換換要因為那個意思我知道因為他現在是後面這個因傳統這個我有他現在說因傳統文化既已或非營利目的的自用者他認為說這個使用的範圍會這個
transcript.whisperx[421].start 11703.437
transcript.whisperx[421].end 11709.741
transcript.whisperx[421].text 吳立懷委員的修正動議然後經濟部針對修正動議再提出文字修正這件事已經達成共識假設說鄭天才委員是那麼重視他應該能要來現場跟他一起討論
transcript.whisperx[422].start 11729.554
transcript.whisperx[422].end 11741.807
transcript.whisperx[422].text 如果再透過其他委員來轉述的話我想他的是不是他的這個想法是不是能夠確實能夠反映出來所以我是覺得剛才那個市長
transcript.whisperx[423].start 11744.831
transcript.whisperx[423].end 11760.397
transcript.whisperx[423].text 剛剛那個召委所轉述鄭明財委員他的意見你們要不要去找他溝通啊那個法條是不是已經有包含在裡面了有有有我可以補充嗎有跟他主任溝通過啦對我補充一下那個是這樣子來龍去脈是這樣這土石採取法是我領先
transcript.whisperx[424].start 11761.337
transcript.whisperx[424].end 11789.62
transcript.whisperx[424].text 我領銜我是用我自己的版本做修正動議那我的版本是其他委員拿來參考那我要講的是說我之所以會同意做尊重他們的意見因為地礦中心有來辦公室是因為基於法例的問題因為我原本是希望這樣子把它寫清楚但是他們是建議說應該是把原基法這個直接寫比較好其實它是一樣的東西
transcript.whisperx[425].start 11790.68
transcript.whisperx[425].end 11794.816
transcript.whisperx[425].text 我做這樣的說明 所以我才會同意做修正動議 尊重他們的意見
transcript.whisperx[426].start 11796.483
transcript.whisperx[426].end 11824.878
transcript.whisperx[426].text 這樣好不好 因為這一條的話因為他這個很堅持我先保留 等一下我們再回來討論我們先就沒有我是建議剩天才委員會堅持他應該本委員來沒有 我們原力沒有在場就不需要我當早委如果提案委員不在場我就直接就處理了因為不能透過其他的委員來轉述他的意見那這樣子會沒有辦法很精確的去而且他的版本本來就是根據我的版本而來
transcript.whisperx[427].start 11826.539
transcript.whisperx[427].end 11841.999
transcript.whisperx[427].text 所以我是建議昭偉他如果真的那麼的堅持那麼重視的話他本來應該來來會議室跟大家一起討論沒關係啦容我我最後因為他在趕的路上所以容我就是我們先把這個其他沒有這個因為我們
transcript.whisperx[428].start 11842.52
transcript.whisperx[428].end 11857.074
transcript.whisperx[428].text 今天的話 因為原名的話這邊還有14的話他就沒有什麼特別的堅持主席我也希望尊重我在場 我當然知道因為我還有交通委員會的質詢我也是一直在這邊等等一下我怕過號先讓我保留一下好不好 可以嗎
transcript.whisperx[429].start 11865.54
transcript.whisperx[429].end 11893.924
transcript.whisperx[429].text 拜託一下啦我先把其他沒有在14點就沒有問題啊可是我不理解因為第一他不在場第二他的版本是根據我原來的版本而來那我都已經做所以你們認為說這樣子的條文已經有涵蓋嗎因為鄭天下委員講的他比較限縮吳立華委員講的我剛剛依照吳立華委員的版本第七款第八款第九款都已經涵蓋到甚至是傳統文化記憶其他自用的更多
transcript.whisperx[430].start 11894.524
transcript.whisperx[430].end 11913.871
transcript.whisperx[430].text 所以這個部分並沒有違背他的這個精神完全沒有違背啊更何況那個原住民基本法的第21條的裡面19條裡面應稅刑的本來就要做的我知道啊因為當時我在看的時候我是覺得說因為已經用原期法那個東西了因為那一條就是這個文字
transcript.whisperx[431].start 11914.671
transcript.whisperx[431].end 11933.559
transcript.whisperx[431].text 只是我尊重那個經濟部的意見跟園民會的意見因為直接把法寫進去比較好而不是把它掏出來寫文字因為看起來就是第19條第1項的第3款那一個 是不是 是所以我才會尊重同意做這樣的一個修正動議好
transcript.whisperx[432].start 11937.179
transcript.whisperx[432].end 11964.458
transcript.whisperx[432].text 那我們就先這樣子好不好那這條就先怎麼樣就先照你們的謝謝主席你如果保證保證的話就是這樣因為我是看起來就是第19條第1條第3項好再來第14條第14條我們是競表支持並建議採用武力法委員提案的內容他的提案的內容在第14條的第
transcript.whisperx[433].start 11968.083
transcript.whisperx[433].end 11992.459
transcript.whisperx[433].text 二項 增列文字其增列文字如下前項申請土石採取許可之土地位於原住民族土地或部落或其周邊一定範圍內之公有土地者土石採取
transcript.whisperx[434].start 11993.829
transcript.whisperx[434].end 12009.64
transcript.whisperx[434].text 申請人應依原住民基本法第21條規定辦理就是按照吳委員的那個最新的修正動議2對1版本期復議支持按照吳立華委員的修正動議通過好 這個我也沒有意見謝謝主席 謝謝所以第3條跟第4條都結束了對 謝謝
transcript.whisperx[435].start 12024.011
transcript.whisperx[435].end 12024.091
transcript.whisperx[435].text 14條OK 好
transcript.whisperx[436].start 12033.561
transcript.whisperx[436].end 12058.216
transcript.whisperx[436].text 好接下來的話我們第36條36條這裡面涉及各款的部分包括提高罰則提高罰則事實上行政院版跟委員王宏威跟廖偉祥的這個版他提案的版本跟行政院版是一致的那除此之外的話我們是認為說維持現行的這個條文的下限而上限的話提高到1000萬元
transcript.whisperx[437].start 12059.796
transcript.whisperx[437].end 12088.048
transcript.whisperx[437].text 這個部分可以有效的遏止不法所以第36條的第一項的這個部分我們建議如上的修正除此之外的話針對於得沒入行為人使用之載運測量或其他機械設備除此之外的話那個按日計法的部分把它改成按次計法
transcript.whisperx[438].start 12089.093
transcript.whisperx[438].end 12113.415
transcript.whisperx[438].text 然後除此之外第1項第2項第3項的部分增列異土營利有第1項未經許可採取土石行刑者處5年以下有期徒刑並得病科新台幣5000萬元以下罰金這也是行政院版所載然後第4項的部分前項行刑至
transcript.whisperx[439].start 12114.096
transcript.whisperx[439].end 12136.185
transcript.whisperx[439].text 量成障礙者處1年以上7年以下有期徒刑的病科新台幣6000萬元以下罰金冒號因而致人於死者處無期徒刑或7年以上有期徒刑的病科新台幣1億元以下罰金致重傷者處3年以上10年以下有期徒刑的病科新台幣8000萬元以下罰金
transcript.whisperx[440].start 12138.266
transcript.whisperx[440].end 12149.832
transcript.whisperx[440].text 那除此之外下項的部分依照行政院版有關於犯罪有使用的船舶載運的車輛那不問行為人與否得目收支
transcript.whisperx[441].start 12150.851
transcript.whisperx[441].end 12173.273
transcript.whisperx[441].text 那最後一項的部分第一項的整復不得使用廢棄物整復得使用之物料實施方法及其他有關事項由中央主管機關會商相關主管機關公告之這也是今天主要修法的內涵那諸多委員的提案都跟行政院版一致建議委員會予以支持
transcript.whisperx[442].start 12176.71
transcript.whisperx[442].end 12197.162
transcript.whisperx[442].text 邱委員 邱議員因為這個36條的部分有很多委員提案那真正提案委員在場只有邱議員還有我們召委 洪委員其他包括柯志恩 丁學忠 徐曉欣 廖偉祥等等
transcript.whisperx[443].start 12198.871
transcript.whisperx[443].end 12224.27
transcript.whisperx[443].text 都沒有來嘛 所以我是建議剛剛這個賴次長提到院版的部分是大家最大的共識嘛沒有錯嘛院版是大家最大的共識嘛王文威委員跟廖偉祥委員提案是跟院版一致的是啊所以我是建議本席建議就是36條部分就按照院版來通過但是要通過之前要聽我們這個邱英英委員的意見
transcript.whisperx[444].start 12227.472
transcript.whisperx[444].end 12256.743
transcript.whisperx[444].text 那個主席那個次長我請教一下我的版本裡頭有談到這個運輸不法的土石的駕駛人要去調扣他們的執照駕照的部分那以及這個運輸業者也必須要有同等的這些罰款可是在院版裡頭這個部分是沒有提到的這可不可以說明一下你們的立場如果說把這個
transcript.whisperx[445].start 12257.662
transcript.whisperx[445].end 12281.538
transcript.whisperx[445].text 加進去 行政院的態度是什麼那有沒有治案難行的地方因為基本上是跟他所謂的犯罪行為有關的使用的機具的部分不管是沒入沒收這邊有規範至於駕照的這個部分特別其他的比如說交通管理的辦法所以我們認為說那個回到那邊去做管理就可以了
transcript.whisperx[446].start 12283.211
transcript.whisperx[446].end 12309.693
transcript.whisperx[446].text 也另外跟委員報告是我們有事先有請教過相關的辦案的這個檢察官他認為依照我們的修法增訂行者的部分已經可以達到嚇阻的作用所以建請委員那予以支持這樣回答邱議員好
transcript.whisperx[447].start 12313.177
transcript.whisperx[447].end 12341.275
transcript.whisperx[447].text 邱義雲因為駕照跟那個沒有關係沒關係 你先思考沒有問題啊不是 因為駕照跟這個是屬於交通裁罰的部分所以不在我們這個是好 這樣OK 好 了解好 因為現在這一條的話我們黨團這邊的版本跟你行政院的版本最大的差異就是在於罰金
transcript.whisperx[448].start 12342.97
transcript.whisperx[448].end 12363.867
transcript.whisperx[448].text 那當時的話在你剛剛引用的是說你對決版本雖然我的版本這邊是最高的但是我們是不是可以折衷一下因為你這邊來講的話是把它對到你現在的罰款的話是差不多才100萬以上1000萬以下剛我說過這個
transcript.whisperx[449].start 12369.349
transcript.whisperx[449].end 12397.528
transcript.whisperx[449].text 還有第二點的不同就是案日跟這個案次嘛原本所以呢我現在這邊的版本的話呢基本上就是兩千萬到一億我是覺得這樣有嚇阻最好那如果你覺得這樣太多那你造行政的版本我又覺得太低我們是會折衷啊比如說一千到五千萬首先跟委員做兩點的說明啊我們為什麼說罰金的部分這次啊增訂罰則
transcript.whisperx[450].start 12399.102
transcript.whisperx[450].end 12415.715
transcript.whisperx[450].text 事實上從過去的案子裡面來看的話 罰則是更有嚇阻作用罰則我同意啦 罰則在我的修正動議會那罰金的部分除了第三條本法的第三條所規定剛剛有修正通過的版本之外
transcript.whisperx[451].start 12416.736
transcript.whisperx[451].end 12439.281
transcript.whisperx[451].text 他即便採取兩立方若是你都要跟他罰兩千萬以上的話這個未免不符合比例原則所以我們建議說是不是照院版的部分一百萬到一千萬這個中間來做一個論處可是他的不法獲利剛剛賴樂旺也講我剛剛也講就三億到七億那麼多
transcript.whisperx[452].start 12440.148
transcript.whisperx[452].end 12448.014
transcript.whisperx[452].text 那不法暴力的部分因為他有涉及到意圖盈利的部分那意圖盈利的部分的話得病科將來這個法官
transcript.whisperx[453].start 12449.248
transcript.whisperx[453].end 12477.343
transcript.whisperx[453].text 檢察官在求刑或是檢察官在採取的話更得病科罰金特別是依照他的不管是意圖的盈利財產犯罪的部分或是加重量乘災害或是重傷致人於死的部分更得病科罰金提高到最重致人於死他的刑度可以到7年到無期徒刑甚至是病科罰金在1億元左右所以我們認為這樣子的配套是否
transcript.whisperx[454].start 12478.406
transcript.whisperx[454].end 12493.924
transcript.whisperx[454].text 已經足夠了請委員會建材對啊所以我是說我也同意說假設我們原本的版本太高所以我現在是說你現在是一百到一千嘛那我現在是說你未經許可因為未經許可對我來講就是那個態度要出來啊
transcript.whisperx[455].start 12498.849
transcript.whisperx[455].end 12515.607
transcript.whisperx[455].text 我補充說明一下在地方採取土石如果是以盈利的當然我希望那個加重罰緩那個上限我認為是要提高但是我的基本款的
transcript.whisperx[456].start 12516.528
transcript.whisperx[456].end 12537.856
transcript.whisperx[456].text 地板就是我的minimum其實你是要看它的這個情節輕重啦它有時候它是無心的或者是不經意的它其實沒有惡意盜採可是我的minimum我的地板已經就把它置定在您的版本是五千萬是不是
transcript.whisperx[457].start 12539.778
transcript.whisperx[457].end 12567.318
transcript.whisperx[457].text 沒有 我的版本是2000那我是把它往下修到1000那你如果說一開始就把它2000萬的話其實我修這個東西是改成1000啦其實有一些農民他是無心之過啦但是你的minimum如果是給他2000的話那對他來講他根本沒有辦法去支付這個金額啦我們現在要治的是那一些惡意的盜採或者是惡意販售的這一種
transcript.whisperx[458].start 12568.018
transcript.whisperx[458].end 12593.438
transcript.whisperx[458].text 但是有一些犯案情節比較輕微的其實我覺得那個樓地板是可以維持在那裡那我反而覺得我們的天花板其實是要再往上拉高一點的所以我的版本是1000到2500那100到2500對啦100到2500行政院的版本是100到1000所以我是覺得那個樓地板那個天花板是可以再往上拉這個論點我也支持就是你如果minima
transcript.whisperx[459].start 12595.62
transcript.whisperx[459].end 12618.925
transcript.whisperx[459].text 對不對 那那個上 上限就是給一個upper的棒的就往上嘛我跟委員說明一下啦 在執行的實務上面會先刑後行政法所以刑法的部分就已經有那麼高的一個裁處了那你今天的話 因為刑法已經裁處完了行政法的部分的話 當然則從眾論處嘛
transcript.whisperx[460].start 12623.444
transcript.whisperx[460].end 12646.294
transcript.whisperx[460].text 那這個在法律的用於上從一種論處的處斷的部分我們認為說現在這樣應該是足夠了現在就是我們對司法都不相信所以我們才會說在法則上你就是有個態度的問題嘛你現在就推要司法 我也都可以啊不是 我們是法治國是不是法治國 我也知道你在說法治國對 我意思是說
transcript.whisperx[461].start 12647.341
transcript.whisperx[461].end 12651.465
transcript.whisperx[461].text 現在邱委員跟我也是同樣的意見我跟董事長說你現在minima我也可以認同邱委員講對不對有些農民這樣子但是那個天花板啊
transcript.whisperx[462].start 12660.807
transcript.whisperx[462].end 12687.645
transcript.whisperx[462].text 如果minimum100那您可以接受 我可以那我們就minimum就不改嘛 下限不改下限不改嘛 下限還是100嘛那現在就是我的案子是2500嘛其他委員有5000丁薛忠委員是1500徐巧欣委員是5000廖偉祥委員是1000這是跟行政院版一樣 然後昭偉的是我修正動議是5000
transcript.whisperx[463].start 12688.962
transcript.whisperx[463].end 12689.242
transcript.whisperx[463].text 好吧 那
transcript.whisperx[464].start 12704.677
transcript.whisperx[464].end 12722.432
transcript.whisperx[464].text 我們是下線的部分下線我們不動啦那我們是建議說上線的部分上線看似到2000嘛依照邱委員剛剛的這個建議我們是2500啊你要不要叫2500再把它提高2500好了好不好對啊 照你們的版本嘛我就從一億變5000 5000再打折了是我們這種邱委員版本我是覺得我們有時候就是
transcript.whisperx[465].start 12731.119
transcript.whisperx[465].end 12757.003
transcript.whisperx[465].text 希望這個法都不要用到對不對真的話就是那個態度啦好不好好這個這個我們把他共識在這一條的話就是minimum就是100上限的話就是照邱毅民委員2500萬這樣子然後那個邱毅民委員那個調扣駕照什麼那些我們就不用了對不對是是是
transcript.whisperx[466].start 12759.041
transcript.whisperx[466].end 12787.892
transcript.whisperx[466].text 還有一個連續法的部分這個事實上我們最近在做一些法規的修改法務部都是有建議啦是不是原本按日計裁的部分啊當然有時候會涉及到幫他疏遠的一個情形事實上要去裁法公務人員就要去看所以每天每次都要去看有去看的話那你來開法那這人民也更加的可以信服啊
transcript.whisperx[467].start 12788.502
transcript.whisperx[467].end 12817.424
transcript.whisperx[467].text 所以這個是不是只有土池採取法修法的體力那是各個法我們的修法法務部都如此的建議所以說是不是建議參查法務部的建議按次對按次然後是兩百萬嘛行政院兩百萬我同意按次啦沒有他是十萬以上兩百萬以下喔可是邱毅委員版本是十萬以上五百萬以下嘛
transcript.whisperx[468].start 12818.086
transcript.whisperx[468].end 12847.382
transcript.whisperx[468].text 然後我的版本的話應該就是200萬以上 2000萬以下所以這個要搭配啊因為你今天第一項的那個所謂的罰款第一次繳財主然後你們覺得是按次比較好嗎我還是覺得按日欸不是 那個法務部是不是可以補充說明一下因為這個是一個所謂的行政法所修訂的一個通則一個通例啦來 您說明啦您到前面啦
transcript.whisperx[469].start 12853.47
transcript.whisperx[469].end 12880.749
transcript.whisperx[469].text 谢谢主席跟各位委员的垂询那关于这个暗刺处罚跟暗日处罚的部分的话因为近年来的这个立法其实都是采暗刺处罚那刚才委员在那个垂询的时候有讲到是不是他其实在依照司法院市制604号解释还有最高行政法院的108年度的一个庭长联席会议的决议也都是说基于行政法法的一个一行为不二法的一个原则之下那基本上
transcript.whisperx[470].start 12881.73
transcript.whisperx[470].end 12899.882
transcript.whisperx[470].text 你必须去处罚就算你是写按日处罚他也必须每次去集合说他是不是确实没有没有去履行他的义务你才可以按日处罚并不是说我今天按日处罚就可以一次他三天没清我就一次处罚三天的数额并不是这样子他还是必须要
transcript.whisperx[471].start 12900.782
transcript.whisperx[471].end 12926.758
transcript.whisperx[471].text 如果你要每天的話你也是得每天都要去確認說他的義務有沒有完成沒有完成的話你要符合那個送達就是再次通知他要處罰這樣子才可以做到按日處罰那所以說最後的意思就是你還是要每天都去稽查你才有可能每天處罰他並不是說我放著三天我就可以把數額一次按照日數來算所以最後的結果其實你還是按次去
transcript.whisperx[472].start 12927.458
transcript.whisperx[472].end 12955.544
transcript.whisperx[472].text 集合然後做一些罰款的處分那這樣的結果來看的話所以如果用暗刺處罰的一方面是比較符合現在的立法體力那另外一方面的話也可以讓執法機關在實務上比較高的彈性他可以看這個情況嚴重的程度來去決定他暗刺處罰的密度有多高那以上就是一些法治上的意見給委員參考請教一下理事 理事長好暗刺處罰實務上是不可行
transcript.whisperx[473].start 12957.357
transcript.whisperx[473].end 12984.302
transcript.whisperx[473].text 按日處罰目前在蠻多有一些法律都還是有這樣子的用語但是依照在實務上 我說實務上實務上按日處罰你還是必須如果你要按日處罰你還是要每天去做對對對我不講說按日處罰還不是按照日我合約不履行還不是按照日目前可是依照市制的話你要負責行政法行政法我如果說我今天不知道怎麼說也是法案按日處罰
transcript.whisperx[474].start 12986.681
transcript.whisperx[474].end 13013.187
transcript.whisperx[474].text 那可能要去看一下稅務的處罰但目前來看如果是要稅務是刑法還是行政法看是我可能要確認一下那個稅務方面的一個他是用行政法還是行責的規定你說的是樣態不一樣啦對對對樣態不一樣因為稅務是按日是可以嘛那你這個是按日按次是不是有資金上有很大的落差嘛所以你最後要回購到按次嘛
transcript.whisperx[475].start 13014.096
transcript.whisperx[475].end 13034.404
transcript.whisperx[475].text 建議採行政院的審議的版本 按次處罰那以上意見給委員跟主席參考 謝謝我是同意啦 我同意可以把我的提案改成按次處罰啦這個我覺得 這事實上啦 我們只要
transcript.whisperx[476].start 13038.638
transcript.whisperx[476].end 13055.537
transcript.whisperx[476].text 就是說把它改成按日的話事實上我們很多的公務員在執行的話他沒有去看比如說上禮拜上次開了一個罰單然後在這禮拜這中間七天都沒去看到今天去看的話他就要開七天的這個罰金事實上
transcript.whisperx[477].start 13057.799
transcript.whisperx[477].end 13083.571
transcript.whisperx[477].text 也有假設這個案子非常重要的話我們更應該經常去看啊所以在行政上面的處理上面改成案次無論對於旅行的執行的公務人員來講他更有一個責任感在這一邊所以我們建議是說參照所以如果按照案日跟案次的話我隔七天再去看在你的文字上沒差別嗎
transcript.whisperx[478].start 13084.619
transcript.whisperx[478].end 13109.558
transcript.whisperx[478].text 但是這個情節如果是重大的話不是 我跟你說我如果寫按日跟按次根據剛剛檢察官講的嘛 對不對我隔七天再去看的 對不對跟你隔七天再去看按日跟按次的裁罰金額有什麼差別就變成開兩次啊那按日的話就是變成七次七天啊
transcript.whisperx[479].start 13110.543
transcript.whisperx[479].end 13129.925
transcript.whisperx[479].text 不是喔來檢察官你這樣子罰的金額是怎樣是按七天還是按兩次如果說隔七天依照這個最高刑事法院的決議來看的話你如果中間都沒有去送達就連七天那等於你還是沒有辦法按照日數裁罰合併送達你不能說我一次算一次所以他還是算兩天
transcript.whisperx[480].start 13130.966
transcript.whisperx[480].end 13145.721
transcript.whisperx[480].text 我不是两天就是你还是等于是第二次采第二张罚单嘛所以他没有办法说我直接算七天的数额因为你中间都没有送答你每天都要处罚你每天都要去集合每天都要送答这个采法才可以处罚他
transcript.whisperx[481].start 13146.687
transcript.whisperx[481].end 13164.078
transcript.whisperx[481].text 目前的依照最高行政法院決議的狀態不是啊 我第一天開罰單嘛 對不對那我隔了七天再去嘛還是不合格 對不對再開罰單嘛那這樣子按日跟按次也是都一樣的金額
transcript.whisperx[482].start 13166.775
transcript.whisperx[482].end 13189.181
transcript.whisperx[482].text 可是他可能他的情節不一樣啊就是可能還是看執行個案上他義務違反的情節來裁處應該是有一個範圍的謝謝這個真的是所以你們還是要堅持暗刺
transcript.whisperx[483].start 13190.828
transcript.whisperx[483].end 13206.662
transcript.whisperx[483].text 好那如果你要堅持按次的話那你的這一個按次的連續處罰你們行政院的版本的金額是多少有往上調嗎你原本是10萬到100萬然後現在是調成是10萬到200萬看一下
transcript.whisperx[484].start 13215.365
transcript.whisperx[484].end 13226.536
transcript.whisperx[484].text 邱委員的是10萬以上10萬元以上500萬以下然後這個我們的版本是200萬以上2000萬以下
transcript.whisperx[485].start 13230.077
transcript.whisperx[485].end 13253.033
transcript.whisperx[485].text 好 如果你是暗刺對不對 撐制到你們行政黨的密度啊地方機關這些那你們的這個暗刺的處罰的金額是不是可以再調高一點讓那個 雖然你不要告訴我再有刑法罰則啦我是說態度問題拿出來就是這個金額是不是可以再拉高上限的部分
transcript.whisperx[486].start 13259.416
transcript.whisperx[486].end 13274.846
transcript.whisperx[486].text 經濟部我們是提高變成兩倍啦我們是建議是這樣因為那個剛剛上線已經有做一些的調整現在是按日的部分按次的部分
transcript.whisperx[487].start 13276.837
transcript.whisperx[487].end 13305.331
transcript.whisperx[487].text 按次的部分假如說是搭配我們剛剛所講的這個狀況的話或許我們這邊可以改成250萬250萬那個倍數的話跟前次的那個採訪的倍數是一樣那個倍數跟前面的那個天花板樓地板是一樣嘛那你就改成250萬啊OK好不好這樣我覺得比較有一些的效用出來對 它都有一定的倍數這樣子會比較採訪上面會比較好一點
transcript.whisperx[488].start 13310.663
transcript.whisperx[488].end 13332.239
transcript.whisperx[488].text 五倍應該是五百萬才對啊應該是邱委員的版本比較對啊我們怎麼是五倍因為他這邊一百兩千五如果這個也是這個邏輯就是十萬不是啊一百兩千五這個是對二點五倍啊上限變成二點五倍啊五百萬
transcript.whisperx[489].start 13341.91
transcript.whisperx[489].end 13358.576
transcript.whisperx[489].text 250啊上限是2.5倍啊那就是25倍啊25倍嘛對你現在的話因為我們剛剛已經修完是調成是那個2500到2500以下嘛25倍啊25倍嘛所以你這10乘25是250啊沒錯啊是250啊
transcript.whisperx[490].start 13373.055
transcript.whisperx[490].end 13374.16
transcript.whisperx[490].text 一样上线产来
transcript.whisperx[491].start 13375.666
transcript.whisperx[491].end 13402.712
transcript.whisperx[491].text 上下限原來的話是我們現在剛剛達成共識是100到2500嘛那是不是25倍啊我建議應該參照新修正的倍數去做不要去按照線型因為你是修正過啦我是按照你線型條文的嘛因為你線型條文對不對線型條文原本的是
transcript.whisperx[492].start 13403.817
transcript.whisperx[492].end 13418.184
transcript.whisperx[492].text 那個100到500嘛 那我們現在是把它改成是100到2500嘛所以2500是500萬的5倍 線型條件的5倍所以我才說用你線型條文的話你的線型條件是100嘛 100萬乘以5你不要有個對那個 有的對那個
transcript.whisperx[493].start 13427.824
transcript.whisperx[493].end 13453.684
transcript.whisperx[493].text 不是啊 所以說我建議說參照我們現在修改的前向的話就是下線是我現在是說參照你線型條文這樣子改過來會比較好嘛這樣也符合邱議員委員的版本啊沒有啊 你就用我的版本的那個比例去調就對了啊我的比例是100到25線型條文對到你不要看線型條文 你現在是看我的修正版本嘛我的是100到2500所以他的按次法就是10到250這樣才對啦
transcript.whisperx[494].start 13457.496
transcript.whisperx[494].end 13459.801
transcript.whisperx[494].text 這樣才公平嘛就照委員建議這樣改成250啊
transcript.whisperx[495].start 13466.394
transcript.whisperx[495].end 13493.224
transcript.whisperx[495].text 好,我也沒有特別意見,我是覺得說你們這些罰則的話都...其實我是覺得這樣啦,務實面來看啦,這個罰則要能夠收得到錢啦對啊啊,有些我們比較管的,是我們自己在這裡花錢的啦,你收不到錢還是一樣我覺得這個第一個好主中,第二個要收...要確實對他們是能夠造成影響啦那我們如果剛剛這樣子從我的比例100到2500那你這個按次法就是10到250
transcript.whisperx[496].start 13496.817
transcript.whisperx[496].end 13521.44
transcript.whisperx[496].text 同意好不好同意好來就這樣子好不好我是覺得態度問題好不好後面徵定了所謂刑法的部分因為大家的看法都相當的一致是不是建議參照院版參照行政院的版本刑法徵定的我們都照你行政院的版本OK
transcript.whisperx[497].start 13522.248
transcript.whisperx[497].end 13543.643
transcript.whisperx[497].text 還有另外增訂的一項整複的這個部分的這個規定這個剛剛大家也沒有其他的 只是一件我言的這個很重要整複 也是照你們照院版再來是37條
transcript.whisperx[498].start 13548.934
transcript.whisperx[498].end 13556.417
transcript.whisperx[498].text 37條的話37條在哪裡很快很快很快來37目前提案的有邱映雲跟麥樂文在場的是邱映雲委員
transcript.whisperx[499].start 13579.248
transcript.whisperx[499].end 13604.318
transcript.whisperx[499].text 跟朱友文報告37至41都是針對合法土石採取場所相關的提案修正那我們這一次聚焦的重點是違法非法的採取就是第一個第二個部分的話事實上一個人申請申請過了之後他違規的一個行為
transcript.whisperx[500].start 13606.479
transcript.whisperx[500].end 13614.269
transcript.whisperx[500].text 他既然是一個是一個累換或是我們認為他的行為有所不當的話我們現行的條文就直接把它撤除了
transcript.whisperx[501].start 13616.67
transcript.whisperx[501].end 13638.749
transcript.whisperx[501].text 就把它撤除了這樣是不是更更斷了不要去讓他有什麼一個特殊所謂的什麼改進或是依照的長子那至於長子的部分當時在申請的時候就主管機關就會要求他在適合的長子裡面來進行採取吐施我們建議說這個部分就不予修正以上
transcript.whisperx[502].start 13646.854
transcript.whisperx[502].end 13674.081
transcript.whisperx[502].text 好 那維持現行條文第38條提案的有邱議員委員等等還有我們黨團這裡這也是一樣這建議說也是維持現行條文因為這個規範的都是3738394041都是針對於合法土石土石採取廠的這一些相關的規定我們是建議說維持現行的規定
transcript.whisperx[503].start 13676.661
transcript.whisperx[503].end 13703.654
transcript.whisperx[503].text 邱益穎委員我也OK好再來39條建議維持現行的規定同意再來40條也是邱益穎委員建議維持現行的規定再來41條41條我只想要加個東西因為這是合法的嘛所以我在第二款這邊的話
transcript.whisperx[504].start 13706.482
transcript.whisperx[504].end 13735.461
transcript.whisperx[504].text 第一個當然是罰則上面 因為它是合法啦所以我這邊是30萬到300萬的這個罰款然後再來這第二款是我希望是說它一定要開具出貨三連單或者記載內容跟實際裝載不符合因為我們常常去這個這個看這些 即使是合法的它有些裝載內容也是不太符合 跟它實際登載就可以加這個文字上去罰則我可以沒有意見
transcript.whisperx[505].start 13742.013
transcript.whisperx[505].end 13764.061
transcript.whisperx[505].text 華澤的部分因為我了解這個主席的意思華澤我沒有意見我只是說第一項一到四款的部分都是集合他有沒有依照現行的他申報的部分來處理所以
transcript.whisperx[506].start 13765.734
transcript.whisperx[506].end 13791.569
transcript.whisperx[506].text 其實假如按體力一樣的話是不要去增列這個部分因為第一款也是說他未依規定申報採取及銷售數量那第三款的部分也是未依規定攜帶出貨單所以說都未依規定去攜帶相關的這個就是他有帶但是他的記載是跟他裝載不一樣的
transcript.whisperx[507].start 13795.489
transcript.whisperx[507].end 13822.072
transcript.whisperx[507].text 我都有打,但是寫的沒講你說三年單跟那個裝貨的事實不一樣對然後後面那個新增那個我可以不加沒關係因為那個東西你本來就會廢紙
transcript.whisperx[508].start 13824.37
transcript.whisperx[508].end 13853.155
transcript.whisperx[508].text 你本來就會廢紙可以吧可以嗎我記得是可以啦因為我跟他們溝通過啦好不好你就把這一段文字補上去就好OK好罰款不變嘛罰款不變然後第二款的部分後面加一個就照我委員的版本這樣子好不好對就是逗號或其記載內容與實際裝載則不對然後我那個新增的部分可以拿掉
transcript.whisperx[509].start 13854.701
transcript.whisperx[509].end 13855.001
transcript.whisperx[509].text 請一併宣讀協商結論
transcript.whisperx[510].start 13874.526
transcript.whisperx[510].end 13899.982
transcript.whisperx[510].text 先讀協商結論第三條 趙委員 鍾嘉斌 吳立華等人所提修正同意修正通過修正文字其中第一項第七款修正為原住民族一原住民族基本法第十九條第一項第三款規定採取土石者第八款 因新修建原住民傳統石板屋或地下屋等形式之住宅 教會 機關 學校 居會所或公共設施所需者
transcript.whisperx[511].start 13900.482
transcript.whisperx[511].end 13918.583
transcript.whisperx[511].text 第九款原住民族部落實施部落自主災害防救與環境維護所需者區經照修正動力文字通過第十四條照委員莊嘉斌吳立華等人所提修正動力通過第36條照行政提案通過其中修正文字
transcript.whisperx[512].start 13921.38
transcript.whisperx[512].end 13941.316
transcript.whisperx[512].text 第3條造行政案提案修正通過修正文字部分第一項前段儲新台幣100萬元以上1000萬元以下罰還修正為儲新台幣100萬元以上2500萬元以下罰還後段儲新台幣10萬元以上200儲10萬元以上100萬元以下罰還修正為儲新台幣10萬元以上250萬元以下罰還
transcript.whisperx[513].start 13950.911
transcript.whisperx[513].end 13975.941
transcript.whisperx[513].text 區域經照行政提案通過第三十條維持現行法條文第三十八條維持現行法條文第三十九條維持現行法條文第四十條維持現行法條文第四十一條在台灣民眾黨黨團提案修正通過先完畢沒有沒有沒有只修第二款法款上下限沒有修正對對沒有只修第二款
transcript.whisperx[514].start 13985.086
transcript.whisperx[514].end 14011.021
transcript.whisperx[514].text 這個沒有修正這個沒有修正這個沒有修正這個有還有這個這個也這個也這個沒有這個也沒有只有修正在這裡看他要不要念照剛剛修正照臺灣民眾黨黨團提案修正通過修正文字第二款修正
transcript.whisperx[515].start 14012.099
transcript.whisperx[515].end 14037.179
transcript.whisperx[515].text 修正土石採取廠負責人位於第35條第一項規定開具出貨三年單或其具載內容與實際裝載者不符者宣傳畢好 請問各位同仁照剛剛宣讀的協商結論通過有沒有異議好 異議通過是11條第一項的本文跟最後的那一項是沒有列的沒有修正的對 沒有好 謝謝
transcript.whisperx[516].start 14038.39
transcript.whisperx[516].end 14059.347
transcript.whisperx[516].text 好 那討論事項 所謂院軍審查完略並任凝聚審查報告提報院會討論 請問需不需加油黨團學生不需加油黨團學生齁 院會討論時有本席說明 審查通過之條文相關法自用與授權主席及議事人員整理本日議程處理完略 謝謝大家 現在休息
transcript.whisperx[517].start 14081.258
transcript.whisperx[517].end 14081.499
transcript.whisperx[517].text 借給我
transcript.whisperx[518].start 14101.547
transcript.whisperx[518].end 14102.668
transcript.whisperx[518].text 阿這樣而已,我記得這個...對,對,對...
transcript.whisperx[519].start 14123.786
transcript.whisperx[519].end 14124.247
transcript.whisperx[519].text 他跟我踢那個啊