iVOD / 15929

Field Value
IVOD_ID 15929
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15929
日期 2024-05-20
會議資料.會議代碼 委員會-11-1-20-13
會議資料.會議代碼:str 第11屆第1會期財政委員會第13次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第1會期財政委員會第13次全體委員會議
影片種類 Full
開始時間 2024-05-20T13:59:58+08:00
結束時間 2024-05-20T16:38:00+08:00
影片長度 02:38:02
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e884f44d7fbe07480889cb9ecc89e676c3be8d109af184be44fbeefc0906ab1dc5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-05-20T14:30:00+08:00
會議名稱 立法院第11屆第1會期財政委員會第13次全體委員會議(事由:審查「財政收支劃分法」14案:(僅詢答) (一) 本院台灣民眾黨黨團擬具「財政收支劃分法修正草案」案。 (二) 本院國民黨黨團、委員羅明才等23人、委員林思銘等20人、委員許宇甄等16人、委員洪孟楷等22人分別擬具「財政收支劃分法部分條文修正草案」等5案。 (三) 本院委員伍麗華Saidhai Tahovecahe等17人擬具「財政收支劃分法第三條條文修正草案」案。 (四) 本院委員陳玉珍等24人擬具「財政收支劃分法第八條條文修正草案」案。 (五) 本院委員王鴻薇等24人擬具「財政收支劃分法第八條、第十二條及第三十條條文修正草案」案。 (六) 本院委員陳超明等17人擬具「財政收支劃分法第八條、第十二條及第十六條之一條文修正草案」案。 (七) 本院委員賴瑞隆等16人、委員蔡易餘等16人分別擬具「財政收支劃分法第十六條之一條文修正草案」等2案。 (八) 本院委員賴士葆等29人擬具「財政收支劃分法第十六條之二、第三十七條之二及第三十八條之二條文修正草案」案。 (九) 本院委員賴士葆等22人擬具「財政收支劃分法第三十八條之一條文修正草案」案。 【5月20日及22日二天一次會】)
委員名稱 完整會議
委員發言時間 13:59:58 - 16:38:00
transcript.pyannote[0].speaker SPEAKER_12
transcript.pyannote[0].start 1914.53346875
transcript.pyannote[0].end 1915.42784375
transcript.pyannote[1].speaker SPEAKER_12
transcript.pyannote[1].start 1915.84971875
transcript.pyannote[1].end 1916.79471875
transcript.pyannote[2].speaker SPEAKER_10
transcript.pyannote[2].start 1917.08159375
transcript.pyannote[2].end 1920.03471875
transcript.pyannote[3].speaker SPEAKER_12
transcript.pyannote[3].start 1921.19909375
transcript.pyannote[3].end 1922.48159375
transcript.pyannote[4].speaker SPEAKER_06
transcript.pyannote[4].start 1925.50221875
transcript.pyannote[4].end 1929.95721875
transcript.pyannote[5].speaker SPEAKER_12
transcript.pyannote[5].start 1927.84784375
transcript.pyannote[5].end 1929.02909375
transcript.pyannote[6].speaker SPEAKER_08
transcript.pyannote[6].start 1929.02909375
transcript.pyannote[6].end 1929.29909375
transcript.pyannote[7].speaker SPEAKER_12
transcript.pyannote[7].start 1929.29909375
transcript.pyannote[7].end 1929.60284375
transcript.pyannote[8].speaker SPEAKER_08
transcript.pyannote[8].start 1929.60284375
transcript.pyannote[8].end 1929.65346875
transcript.pyannote[9].speaker SPEAKER_12
transcript.pyannote[9].start 1929.65346875
transcript.pyannote[9].end 1929.67034375
transcript.pyannote[10].speaker SPEAKER_08
transcript.pyannote[10].start 1929.67034375
transcript.pyannote[10].end 1929.92346875
transcript.pyannote[11].speaker SPEAKER_12
transcript.pyannote[11].start 1929.95721875
transcript.pyannote[11].end 1930.02471875
transcript.pyannote[12].speaker SPEAKER_08
transcript.pyannote[12].start 1930.02471875
transcript.pyannote[12].end 1930.05846875
transcript.pyannote[13].speaker SPEAKER_06
transcript.pyannote[13].start 1930.05846875
transcript.pyannote[13].end 1930.07534375
transcript.pyannote[14].speaker SPEAKER_08
transcript.pyannote[14].start 1930.07534375
transcript.pyannote[14].end 1930.10909375
transcript.pyannote[15].speaker SPEAKER_08
transcript.pyannote[15].start 1930.36221875
transcript.pyannote[15].end 1931.22284375
transcript.pyannote[16].speaker SPEAKER_12
transcript.pyannote[16].start 1936.31909375
transcript.pyannote[16].end 1939.52534375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 1939.81221875
transcript.pyannote[17].end 1948.65471875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 1949.05971875
transcript.pyannote[18].end 1969.03971875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 1969.42784375
transcript.pyannote[19].end 2015.07471875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 2015.54721875
transcript.pyannote[20].end 2038.93596875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 2038.96971875
transcript.pyannote[21].end 2039.03721875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 2039.13846875
transcript.pyannote[22].end 2043.28971875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 2043.67784375
transcript.pyannote[23].end 2050.86659375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 2050.95096875
transcript.pyannote[24].end 2052.82409375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 2052.99284375
transcript.pyannote[25].end 2074.54221875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 2074.79534375
transcript.pyannote[26].end 2105.54159375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 2105.71034375
transcript.pyannote[27].end 2123.81721875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 2124.59346875
transcript.pyannote[28].end 2129.35221875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 2129.85846875
transcript.pyannote[29].end 2139.81471875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 2139.91596875
transcript.pyannote[30].end 2152.87596875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 2153.29784375
transcript.pyannote[31].end 2164.48596875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 2165.09346875
transcript.pyannote[32].end 2181.09096875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 2181.46221875
transcript.pyannote[33].end 2183.60534375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 2184.04409375
transcript.pyannote[34].end 2230.68659375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 2230.72034375
transcript.pyannote[35].end 2236.20471875
transcript.pyannote[36].speaker SPEAKER_12
transcript.pyannote[36].start 2237.77409375
transcript.pyannote[36].end 2238.16221875
transcript.pyannote[37].speaker SPEAKER_12
transcript.pyannote[37].start 2238.46596875
transcript.pyannote[37].end 2239.41096875
transcript.pyannote[38].speaker SPEAKER_12
transcript.pyannote[38].start 2240.42346875
transcript.pyannote[38].end 2240.98034375
transcript.pyannote[39].speaker SPEAKER_12
transcript.pyannote[39].start 2241.55409375
transcript.pyannote[39].end 2242.41471875
transcript.pyannote[40].speaker SPEAKER_12
transcript.pyannote[40].start 2243.17409375
transcript.pyannote[40].end 2245.23284375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 2245.97534375
transcript.pyannote[41].end 2264.89221875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 2264.99346875
transcript.pyannote[42].end 2296.39784375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 2296.88721875
transcript.pyannote[43].end 2298.25409375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 2298.35534375
transcript.pyannote[44].end 2302.82721875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 2303.02971875
transcript.pyannote[45].end 2305.76346875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 2306.16846875
transcript.pyannote[46].end 2307.26534375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 2307.55221875
transcript.pyannote[47].end 2313.72846875
transcript.pyannote[48].speaker SPEAKER_12
transcript.pyannote[48].start 2315.21346875
transcript.pyannote[48].end 2316.49596875
transcript.pyannote[49].speaker SPEAKER_12
transcript.pyannote[49].start 2317.00221875
transcript.pyannote[49].end 2317.62659375
transcript.pyannote[50].speaker SPEAKER_12
transcript.pyannote[50].start 2317.84596875
transcript.pyannote[50].end 2318.57159375
transcript.pyannote[51].speaker SPEAKER_12
transcript.pyannote[51].start 2322.21659375
transcript.pyannote[51].end 2323.71846875
transcript.pyannote[52].speaker SPEAKER_12
transcript.pyannote[52].start 2326.45221875
transcript.pyannote[52].end 2328.39284375
transcript.pyannote[53].speaker SPEAKER_12
transcript.pyannote[53].start 2329.91159375
transcript.pyannote[53].end 2331.81846875
transcript.pyannote[54].speaker SPEAKER_12
transcript.pyannote[54].start 2333.47221875
transcript.pyannote[54].end 2335.49721875
transcript.pyannote[55].speaker SPEAKER_12
transcript.pyannote[55].start 2336.72909375
transcript.pyannote[55].end 2338.39971875
transcript.pyannote[56].speaker SPEAKER_12
transcript.pyannote[56].start 2339.81721875
transcript.pyannote[56].end 2341.48784375
transcript.pyannote[57].speaker SPEAKER_12
transcript.pyannote[57].start 2343.24284375
transcript.pyannote[57].end 2344.52534375
transcript.pyannote[58].speaker SPEAKER_12
transcript.pyannote[58].start 2345.04846875
transcript.pyannote[58].end 2346.12846875
transcript.pyannote[59].speaker SPEAKER_12
transcript.pyannote[59].start 2349.38534375
transcript.pyannote[59].end 2352.62534375
transcript.pyannote[60].speaker SPEAKER_12
transcript.pyannote[60].start 2354.71784375
transcript.pyannote[60].end 2356.96221875
transcript.pyannote[61].speaker SPEAKER_12
transcript.pyannote[61].start 2358.78471875
transcript.pyannote[61].end 2360.97846875
transcript.pyannote[62].speaker SPEAKER_12
transcript.pyannote[62].start 2362.69971875
transcript.pyannote[62].end 2364.72471875
transcript.pyannote[63].speaker SPEAKER_12
transcript.pyannote[63].start 2366.36159375
transcript.pyannote[63].end 2368.90971875
transcript.pyannote[64].speaker SPEAKER_12
transcript.pyannote[64].start 2370.73221875
transcript.pyannote[64].end 2373.41534375
transcript.pyannote[65].speaker SPEAKER_12
transcript.pyannote[65].start 2375.20409375
transcript.pyannote[65].end 2377.78596875
transcript.pyannote[66].speaker SPEAKER_12
transcript.pyannote[66].start 2377.98846875
transcript.pyannote[66].end 2379.15284375
transcript.pyannote[67].speaker SPEAKER_12
transcript.pyannote[67].start 2381.16096875
transcript.pyannote[67].end 2382.40971875
transcript.pyannote[68].speaker SPEAKER_12
transcript.pyannote[68].start 2382.71346875
transcript.pyannote[68].end 2384.09721875
transcript.pyannote[69].speaker SPEAKER_12
transcript.pyannote[69].start 2387.06721875
transcript.pyannote[69].end 2388.90659375
transcript.pyannote[70].speaker SPEAKER_12
transcript.pyannote[70].start 2389.48034375
transcript.pyannote[70].end 2391.75846875
transcript.pyannote[71].speaker SPEAKER_12
transcript.pyannote[71].start 2393.85096875
transcript.pyannote[71].end 2395.36971875
transcript.pyannote[72].speaker SPEAKER_12
transcript.pyannote[72].start 2396.17971875
transcript.pyannote[72].end 2398.96409375
transcript.pyannote[73].speaker SPEAKER_12
transcript.pyannote[73].start 2401.41096875
transcript.pyannote[73].end 2402.67659375
transcript.pyannote[74].speaker SPEAKER_12
transcript.pyannote[74].start 2402.86221875
transcript.pyannote[74].end 2404.07721875
transcript.pyannote[75].speaker SPEAKER_12
transcript.pyannote[75].start 2404.49909375
transcript.pyannote[75].end 2406.30471875
transcript.pyannote[76].speaker SPEAKER_12
transcript.pyannote[76].start 2407.60409375
transcript.pyannote[76].end 2411.92409375
transcript.pyannote[77].speaker SPEAKER_12
transcript.pyannote[77].start 2414.23596875
transcript.pyannote[77].end 2417.13846875
transcript.pyannote[78].speaker SPEAKER_12
transcript.pyannote[78].start 2419.09596875
transcript.pyannote[78].end 2421.39096875
transcript.pyannote[79].speaker SPEAKER_12
transcript.pyannote[79].start 2423.48346875
transcript.pyannote[79].end 2425.71096875
transcript.pyannote[80].speaker SPEAKER_12
transcript.pyannote[80].start 2425.96409375
transcript.pyannote[80].end 2427.87096875
transcript.pyannote[81].speaker SPEAKER_12
transcript.pyannote[81].start 2432.17409375
transcript.pyannote[81].end 2434.31721875
transcript.pyannote[82].speaker SPEAKER_12
transcript.pyannote[82].start 2435.19471875
transcript.pyannote[82].end 2437.74284375
transcript.pyannote[83].speaker SPEAKER_12
transcript.pyannote[83].start 2441.20221875
transcript.pyannote[83].end 2442.94034375
transcript.pyannote[84].speaker SPEAKER_12
transcript.pyannote[84].start 2443.22721875
transcript.pyannote[84].end 2444.03721875
transcript.pyannote[85].speaker SPEAKER_12
transcript.pyannote[85].start 2444.39159375
transcript.pyannote[85].end 2445.08346875
transcript.pyannote[86].speaker SPEAKER_12
transcript.pyannote[86].start 2449.77471875
transcript.pyannote[86].end 2451.74909375
transcript.pyannote[87].speaker SPEAKER_12
transcript.pyannote[87].start 2452.52534375
transcript.pyannote[87].end 2453.18346875
transcript.pyannote[88].speaker SPEAKER_12
transcript.pyannote[88].start 2453.77409375
transcript.pyannote[88].end 2455.79909375
transcript.pyannote[89].speaker SPEAKER_12
transcript.pyannote[89].start 2456.08596875
transcript.pyannote[89].end 2459.08971875
transcript.pyannote[90].speaker SPEAKER_12
transcript.pyannote[90].start 2460.05159375
transcript.pyannote[90].end 2469.14721875
transcript.pyannote[91].speaker SPEAKER_12
transcript.pyannote[91].start 2469.38346875
transcript.pyannote[91].end 2475.55971875
transcript.pyannote[92].speaker SPEAKER_12
transcript.pyannote[92].start 2477.80409375
transcript.pyannote[92].end 2480.23409375
transcript.pyannote[93].speaker SPEAKER_12
transcript.pyannote[93].start 2481.85409375
transcript.pyannote[93].end 2483.82846875
transcript.pyannote[94].speaker SPEAKER_12
transcript.pyannote[94].start 2492.11409375
transcript.pyannote[94].end 2494.03784375
transcript.pyannote[95].speaker SPEAKER_12
transcript.pyannote[95].start 2494.15596875
transcript.pyannote[95].end 2495.37096875
transcript.pyannote[96].speaker SPEAKER_12
transcript.pyannote[96].start 2495.53971875
transcript.pyannote[96].end 2499.80909375
transcript.pyannote[97].speaker SPEAKER_12
transcript.pyannote[97].start 2500.28159375
transcript.pyannote[97].end 2502.05346875
transcript.pyannote[98].speaker SPEAKER_12
transcript.pyannote[98].start 2502.07034375
transcript.pyannote[98].end 2515.28346875
transcript.pyannote[99].speaker SPEAKER_12
transcript.pyannote[99].start 2515.31721875
transcript.pyannote[99].end 2515.78971875
transcript.pyannote[100].speaker SPEAKER_12
transcript.pyannote[100].start 2515.95846875
transcript.pyannote[100].end 2521.37534375
transcript.pyannote[101].speaker SPEAKER_12
transcript.pyannote[101].start 2521.76346875
transcript.pyannote[101].end 2529.47534375
transcript.pyannote[102].speaker SPEAKER_12
transcript.pyannote[102].start 2529.84659375
transcript.pyannote[102].end 2538.13221875
transcript.pyannote[103].speaker SPEAKER_12
transcript.pyannote[103].start 2538.65534375
transcript.pyannote[103].end 2558.55096875
transcript.pyannote[104].speaker SPEAKER_12
transcript.pyannote[104].start 2558.63534375
transcript.pyannote[104].end 2577.21471875
transcript.pyannote[105].speaker SPEAKER_12
transcript.pyannote[105].start 2577.73784375
transcript.pyannote[105].end 2582.46284375
transcript.pyannote[106].speaker SPEAKER_12
transcript.pyannote[106].start 2583.57659375
transcript.pyannote[106].end 2591.69346875
transcript.pyannote[107].speaker SPEAKER_12
transcript.pyannote[107].start 2591.84534375
transcript.pyannote[107].end 2594.24159375
transcript.pyannote[108].speaker SPEAKER_12
transcript.pyannote[108].start 2596.04721875
transcript.pyannote[108].end 2597.71784375
transcript.pyannote[109].speaker SPEAKER_11
transcript.pyannote[109].start 2602.29096875
transcript.pyannote[109].end 2608.23096875
transcript.pyannote[110].speaker SPEAKER_11
transcript.pyannote[110].start 2609.44596875
transcript.pyannote[110].end 2610.37409375
transcript.pyannote[111].speaker SPEAKER_11
transcript.pyannote[111].start 2611.15034375
transcript.pyannote[111].end 2612.70284375
transcript.pyannote[112].speaker SPEAKER_11
transcript.pyannote[112].start 2612.88846875
transcript.pyannote[112].end 2617.27596875
transcript.pyannote[113].speaker SPEAKER_11
transcript.pyannote[113].start 2617.66409375
transcript.pyannote[113].end 2629.57784375
transcript.pyannote[114].speaker SPEAKER_11
transcript.pyannote[114].start 2630.38784375
transcript.pyannote[114].end 2630.94471875
transcript.pyannote[115].speaker SPEAKER_11
transcript.pyannote[115].start 2631.31596875
transcript.pyannote[115].end 2632.39596875
transcript.pyannote[116].speaker SPEAKER_11
transcript.pyannote[116].start 2632.73346875
transcript.pyannote[116].end 2651.83596875
transcript.pyannote[117].speaker SPEAKER_11
transcript.pyannote[117].start 2652.62909375
transcript.pyannote[117].end 2653.87784375
transcript.pyannote[118].speaker SPEAKER_11
transcript.pyannote[118].start 2654.53596875
transcript.pyannote[118].end 2655.44721875
transcript.pyannote[119].speaker SPEAKER_11
transcript.pyannote[119].start 2655.81846875
transcript.pyannote[119].end 2679.54471875
transcript.pyannote[120].speaker SPEAKER_11
transcript.pyannote[120].start 2680.81034375
transcript.pyannote[120].end 2693.04471875
transcript.pyannote[121].speaker SPEAKER_11
transcript.pyannote[121].start 2693.75346875
transcript.pyannote[121].end 2694.41159375
transcript.pyannote[122].speaker SPEAKER_11
transcript.pyannote[122].start 2695.12034375
transcript.pyannote[122].end 2708.02971875
transcript.pyannote[123].speaker SPEAKER_11
transcript.pyannote[123].start 2708.21534375
transcript.pyannote[123].end 2708.63721875
transcript.pyannote[124].speaker SPEAKER_11
transcript.pyannote[124].start 2709.19409375
transcript.pyannote[124].end 2731.16534375
transcript.pyannote[125].speaker SPEAKER_11
transcript.pyannote[125].start 2732.04284375
transcript.pyannote[125].end 2737.00409375
transcript.pyannote[126].speaker SPEAKER_11
transcript.pyannote[126].start 2737.44284375
transcript.pyannote[126].end 2738.06721875
transcript.pyannote[127].speaker SPEAKER_11
transcript.pyannote[127].start 2738.53971875
transcript.pyannote[127].end 2744.90159375
transcript.pyannote[128].speaker SPEAKER_11
transcript.pyannote[128].start 2745.55971875
transcript.pyannote[128].end 2748.85034375
transcript.pyannote[129].speaker SPEAKER_11
transcript.pyannote[129].start 2750.25096875
transcript.pyannote[129].end 2812.01346875
transcript.pyannote[130].speaker SPEAKER_11
transcript.pyannote[130].start 2812.50284375
transcript.pyannote[130].end 2814.91596875
transcript.pyannote[131].speaker SPEAKER_11
transcript.pyannote[131].start 2815.67534375
transcript.pyannote[131].end 2837.25846875
transcript.pyannote[132].speaker SPEAKER_11
transcript.pyannote[132].start 2837.52846875
transcript.pyannote[132].end 2838.00096875
transcript.pyannote[133].speaker SPEAKER_12
transcript.pyannote[133].start 2838.64221875
transcript.pyannote[133].end 2840.39721875
transcript.pyannote[134].speaker SPEAKER_12
transcript.pyannote[134].start 2843.92409375
transcript.pyannote[134].end 2844.54846875
transcript.pyannote[135].speaker SPEAKER_12
transcript.pyannote[135].start 2845.15596875
transcript.pyannote[135].end 2845.72971875
transcript.pyannote[136].speaker SPEAKER_12
transcript.pyannote[136].start 2845.99971875
transcript.pyannote[136].end 2848.37909375
transcript.pyannote[137].speaker SPEAKER_12
transcript.pyannote[137].start 2848.53096875
transcript.pyannote[137].end 2849.39159375
transcript.pyannote[138].speaker SPEAKER_12
transcript.pyannote[138].start 2849.64471875
transcript.pyannote[138].end 2851.38284375
transcript.pyannote[139].speaker SPEAKER_07
transcript.pyannote[139].start 2862.53721875
transcript.pyannote[139].end 2878.31534375
transcript.pyannote[140].speaker SPEAKER_07
transcript.pyannote[140].start 2878.33221875
transcript.pyannote[140].end 2895.49409375
transcript.pyannote[141].speaker SPEAKER_07
transcript.pyannote[141].start 2896.06784375
transcript.pyannote[141].end 2901.87284375
transcript.pyannote[142].speaker SPEAKER_07
transcript.pyannote[142].start 2902.29471875
transcript.pyannote[142].end 2926.79721875
transcript.pyannote[143].speaker SPEAKER_07
transcript.pyannote[143].start 2926.91534375
transcript.pyannote[143].end 2954.45534375
transcript.pyannote[144].speaker SPEAKER_07
transcript.pyannote[144].start 2955.77159375
transcript.pyannote[144].end 3022.03971875
transcript.pyannote[145].speaker SPEAKER_07
transcript.pyannote[145].start 3022.93409375
transcript.pyannote[145].end 3023.01846875
transcript.pyannote[146].speaker SPEAKER_07
transcript.pyannote[146].start 3023.28846875
transcript.pyannote[146].end 3027.38909375
transcript.pyannote[147].speaker SPEAKER_07
transcript.pyannote[147].start 3027.49034375
transcript.pyannote[147].end 3042.49221875
transcript.pyannote[148].speaker SPEAKER_07
transcript.pyannote[148].start 3043.08284375
transcript.pyannote[148].end 3050.20409375
transcript.pyannote[149].speaker SPEAKER_07
transcript.pyannote[149].start 3050.74409375
transcript.pyannote[149].end 3053.83221875
transcript.pyannote[150].speaker SPEAKER_12
transcript.pyannote[150].start 3054.65909375
transcript.pyannote[150].end 3056.46471875
transcript.pyannote[151].speaker SPEAKER_12
transcript.pyannote[151].start 3060.66659375
transcript.pyannote[151].end 3063.07971875
transcript.pyannote[152].speaker SPEAKER_12
transcript.pyannote[152].start 3063.34971875
transcript.pyannote[152].end 3063.99096875
transcript.pyannote[153].speaker SPEAKER_14
transcript.pyannote[153].start 3073.71096875
transcript.pyannote[153].end 3084.12284375
transcript.pyannote[154].speaker SPEAKER_14
transcript.pyannote[154].start 3084.42659375
transcript.pyannote[154].end 3088.22346875
transcript.pyannote[155].speaker SPEAKER_14
transcript.pyannote[155].start 3089.70846875
transcript.pyannote[155].end 3096.17159375
transcript.pyannote[156].speaker SPEAKER_14
transcript.pyannote[156].start 3096.74534375
transcript.pyannote[156].end 3097.31909375
transcript.pyannote[157].speaker SPEAKER_14
transcript.pyannote[157].start 3097.57221875
transcript.pyannote[157].end 3098.44971875
transcript.pyannote[158].speaker SPEAKER_14
transcript.pyannote[158].start 3099.19221875
transcript.pyannote[158].end 3099.95159375
transcript.pyannote[159].speaker SPEAKER_14
transcript.pyannote[159].start 3100.59284375
transcript.pyannote[159].end 3103.07346875
transcript.pyannote[160].speaker SPEAKER_14
transcript.pyannote[160].start 3103.44471875
transcript.pyannote[160].end 3103.79909375
transcript.pyannote[161].speaker SPEAKER_14
transcript.pyannote[161].start 3104.32221875
transcript.pyannote[161].end 3105.87471875
transcript.pyannote[162].speaker SPEAKER_14
transcript.pyannote[162].start 3106.31346875
transcript.pyannote[162].end 3112.25346875
transcript.pyannote[163].speaker SPEAKER_14
transcript.pyannote[163].start 3113.13096875
transcript.pyannote[163].end 3114.37971875
transcript.pyannote[164].speaker SPEAKER_14
transcript.pyannote[164].start 3115.07159375
transcript.pyannote[164].end 3122.49659375
transcript.pyannote[165].speaker SPEAKER_14
transcript.pyannote[165].start 3123.25596875
transcript.pyannote[165].end 3130.74846875
transcript.pyannote[166].speaker SPEAKER_14
transcript.pyannote[166].start 3131.72721875
transcript.pyannote[166].end 3132.52034375
transcript.pyannote[167].speaker SPEAKER_14
transcript.pyannote[167].start 3133.24596875
transcript.pyannote[167].end 3134.12346875
transcript.pyannote[168].speaker SPEAKER_14
transcript.pyannote[168].start 3134.32596875
transcript.pyannote[168].end 3135.22034375
transcript.pyannote[169].speaker SPEAKER_14
transcript.pyannote[169].start 3139.59096875
transcript.pyannote[169].end 3142.44284375
transcript.pyannote[170].speaker SPEAKER_14
transcript.pyannote[170].start 3142.93221875
transcript.pyannote[170].end 3147.15096875
transcript.pyannote[171].speaker SPEAKER_14
transcript.pyannote[171].start 3147.70784375
transcript.pyannote[171].end 3152.31471875
transcript.pyannote[172].speaker SPEAKER_14
transcript.pyannote[172].start 3152.92221875
transcript.pyannote[172].end 3153.68159375
transcript.pyannote[173].speaker SPEAKER_14
transcript.pyannote[173].start 3154.62659375
transcript.pyannote[173].end 3156.76971875
transcript.pyannote[174].speaker SPEAKER_14
transcript.pyannote[174].start 3156.97221875
transcript.pyannote[174].end 3157.46159375
transcript.pyannote[175].speaker SPEAKER_14
transcript.pyannote[175].start 3158.08596875
transcript.pyannote[175].end 3164.39721875
transcript.pyannote[176].speaker SPEAKER_14
transcript.pyannote[176].start 3164.98784375
transcript.pyannote[176].end 3166.43909375
transcript.pyannote[177].speaker SPEAKER_14
transcript.pyannote[177].start 3166.94534375
transcript.pyannote[177].end 3173.52659375
transcript.pyannote[178].speaker SPEAKER_14
transcript.pyannote[178].start 3173.94846875
transcript.pyannote[178].end 3176.37846875
transcript.pyannote[179].speaker SPEAKER_14
transcript.pyannote[179].start 3176.73284375
transcript.pyannote[179].end 3179.82096875
transcript.pyannote[180].speaker SPEAKER_14
transcript.pyannote[180].start 3179.93909375
transcript.pyannote[180].end 3190.26659375
transcript.pyannote[181].speaker SPEAKER_14
transcript.pyannote[181].start 3190.78971875
transcript.pyannote[181].end 3193.35471875
transcript.pyannote[182].speaker SPEAKER_14
transcript.pyannote[182].start 3194.36721875
transcript.pyannote[182].end 3199.09221875
transcript.pyannote[183].speaker SPEAKER_14
transcript.pyannote[183].start 3199.27784375
transcript.pyannote[183].end 3203.61471875
transcript.pyannote[184].speaker SPEAKER_14
transcript.pyannote[184].start 3203.96909375
transcript.pyannote[184].end 3207.34409375
transcript.pyannote[185].speaker SPEAKER_14
transcript.pyannote[185].start 3207.42846875
transcript.pyannote[185].end 3209.55471875
transcript.pyannote[186].speaker SPEAKER_14
transcript.pyannote[186].start 3209.95971875
transcript.pyannote[186].end 3217.30034375
transcript.pyannote[187].speaker SPEAKER_14
transcript.pyannote[187].start 3217.77284375
transcript.pyannote[187].end 3222.76784375
transcript.pyannote[188].speaker SPEAKER_14
transcript.pyannote[188].start 3223.12221875
transcript.pyannote[188].end 3225.90659375
transcript.pyannote[189].speaker SPEAKER_14
transcript.pyannote[189].start 3226.75034375
transcript.pyannote[189].end 3230.81721875
transcript.pyannote[190].speaker SPEAKER_14
transcript.pyannote[190].start 3231.57659375
transcript.pyannote[190].end 3231.82971875
transcript.pyannote[191].speaker SPEAKER_14
transcript.pyannote[191].start 3232.43721875
transcript.pyannote[191].end 3249.93659375
transcript.pyannote[192].speaker SPEAKER_14
transcript.pyannote[192].start 3250.61159375
transcript.pyannote[192].end 3254.40846875
transcript.pyannote[193].speaker SPEAKER_14
transcript.pyannote[193].start 3254.83034375
transcript.pyannote[193].end 3260.97284375
transcript.pyannote[194].speaker SPEAKER_14
transcript.pyannote[194].start 3261.29346875
transcript.pyannote[194].end 3263.90909375
transcript.pyannote[195].speaker SPEAKER_14
transcript.pyannote[195].start 3264.41534375
transcript.pyannote[195].end 3269.03909375
transcript.pyannote[196].speaker SPEAKER_14
transcript.pyannote[196].start 3269.71409375
transcript.pyannote[196].end 3270.45659375
transcript.pyannote[197].speaker SPEAKER_14
transcript.pyannote[197].start 3270.60846875
transcript.pyannote[197].end 3273.15659375
transcript.pyannote[198].speaker SPEAKER_14
transcript.pyannote[198].start 3273.78096875
transcript.pyannote[198].end 3275.43471875
transcript.pyannote[199].speaker SPEAKER_14
transcript.pyannote[199].start 3276.05909375
transcript.pyannote[199].end 3277.99971875
transcript.pyannote[200].speaker SPEAKER_14
transcript.pyannote[200].start 3278.42159375
transcript.pyannote[200].end 3287.12909375
transcript.pyannote[201].speaker SPEAKER_14
transcript.pyannote[201].start 3288.36096875
transcript.pyannote[201].end 3297.01784375
transcript.pyannote[202].speaker SPEAKER_14
transcript.pyannote[202].start 3297.82784375
transcript.pyannote[202].end 3306.21471875
transcript.pyannote[203].speaker SPEAKER_14
transcript.pyannote[203].start 3306.53534375
transcript.pyannote[203].end 3308.98221875
transcript.pyannote[204].speaker SPEAKER_14
transcript.pyannote[204].start 3309.67409375
transcript.pyannote[204].end 3312.23909375
transcript.pyannote[205].speaker SPEAKER_14
transcript.pyannote[205].start 3312.59346875
transcript.pyannote[205].end 3314.78721875
transcript.pyannote[206].speaker SPEAKER_14
transcript.pyannote[206].start 3315.63096875
transcript.pyannote[206].end 3318.41534375
transcript.pyannote[207].speaker SPEAKER_14
transcript.pyannote[207].start 3318.97221875
transcript.pyannote[207].end 3321.30096875
transcript.pyannote[208].speaker SPEAKER_14
transcript.pyannote[208].start 3321.35159375
transcript.pyannote[208].end 3322.61721875
transcript.pyannote[209].speaker SPEAKER_14
transcript.pyannote[209].start 3322.80284375
transcript.pyannote[209].end 3324.25409375
transcript.pyannote[210].speaker SPEAKER_14
transcript.pyannote[210].start 3324.64221875
transcript.pyannote[210].end 3344.16659375
transcript.pyannote[211].speaker SPEAKER_14
transcript.pyannote[211].start 3344.70659375
transcript.pyannote[211].end 3347.37284375
transcript.pyannote[212].speaker SPEAKER_14
transcript.pyannote[212].start 3347.57534375
transcript.pyannote[212].end 3350.57909375
transcript.pyannote[213].speaker SPEAKER_12
transcript.pyannote[213].start 3350.57909375
transcript.pyannote[213].end 3350.59596875
transcript.pyannote[214].speaker SPEAKER_12
transcript.pyannote[214].start 3350.93346875
transcript.pyannote[214].end 3352.23284375
transcript.pyannote[215].speaker SPEAKER_12
transcript.pyannote[215].start 3356.99159375
transcript.pyannote[215].end 3358.05471875
transcript.pyannote[216].speaker SPEAKER_12
transcript.pyannote[216].start 3359.59034375
transcript.pyannote[216].end 3360.75471875
transcript.pyannote[217].speaker SPEAKER_12
transcript.pyannote[217].start 3362.81346875
transcript.pyannote[217].end 3363.15096875
transcript.pyannote[218].speaker SPEAKER_09
transcript.pyannote[218].start 3374.67659375
transcript.pyannote[218].end 3374.87909375
transcript.pyannote[219].speaker SPEAKER_09
transcript.pyannote[219].start 3376.00971875
transcript.pyannote[219].end 3376.75221875
transcript.pyannote[220].speaker SPEAKER_09
transcript.pyannote[220].start 3377.49471875
transcript.pyannote[220].end 3378.33846875
transcript.pyannote[221].speaker SPEAKER_09
transcript.pyannote[221].start 3378.45659375
transcript.pyannote[221].end 3389.79659375
transcript.pyannote[222].speaker SPEAKER_09
transcript.pyannote[222].start 3390.35346875
transcript.pyannote[222].end 3414.56909375
transcript.pyannote[223].speaker SPEAKER_09
transcript.pyannote[223].start 3414.65346875
transcript.pyannote[223].end 3414.68721875
transcript.pyannote[224].speaker SPEAKER_09
transcript.pyannote[224].start 3414.70409375
transcript.pyannote[224].end 3451.08659375
transcript.pyannote[225].speaker SPEAKER_09
transcript.pyannote[225].start 3451.54221875
transcript.pyannote[225].end 3566.49471875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 3566.00534375
transcript.pyannote[226].end 3571.28721875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 3571.79346875
transcript.pyannote[227].end 3574.29096875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 3585.54659375
transcript.pyannote[228].end 3587.57159375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 3588.16221875
transcript.pyannote[229].end 3588.76971875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 3589.02284375
transcript.pyannote[230].end 3592.53284375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 3592.73534375
transcript.pyannote[231].end 3593.66346875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 3593.83221875
transcript.pyannote[232].end 3594.96284375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 3595.38471875
transcript.pyannote[233].end 3598.27034375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 3598.91159375
transcript.pyannote[234].end 3600.46409375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 3600.80159375
transcript.pyannote[235].end 3601.15596875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 3601.59471875
transcript.pyannote[236].end 3606.50534375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 3607.48409375
transcript.pyannote[237].end 3609.20534375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 3609.57659375
transcript.pyannote[238].end 3611.26409375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 3612.86721875
transcript.pyannote[239].end 3616.36034375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 3617.17034375
transcript.pyannote[240].end 3618.36846875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 3619.06034375
transcript.pyannote[241].end 3620.56221875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 3620.98409375
transcript.pyannote[242].end 3622.40159375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 3623.22846875
transcript.pyannote[243].end 3627.75096875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 3629.70846875
transcript.pyannote[244].end 3632.20596875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 3633.21846875
transcript.pyannote[245].end 3635.26034375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 3637.03221875
transcript.pyannote[246].end 3638.06159375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 3640.52534375
transcript.pyannote[247].end 3641.40284375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 3642.34784375
transcript.pyannote[248].end 3643.00596875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 3643.12409375
transcript.pyannote[249].end 3643.88346875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 3643.98471875
transcript.pyannote[250].end 3644.50784375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 3646.44846875
transcript.pyannote[251].end 3647.49471875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 3648.15284375
transcript.pyannote[252].end 3648.67596875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 3649.43534375
transcript.pyannote[253].end 3650.44784375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 3650.95409375
transcript.pyannote[254].end 3651.52784375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 3651.94971875
transcript.pyannote[255].end 3653.53596875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 3653.80596875
transcript.pyannote[256].end 3656.80971875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 3657.85596875
transcript.pyannote[257].end 3659.59409375
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 3661.31534375
transcript.pyannote[258].end 3663.27284375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 3663.77909375
transcript.pyannote[259].end 3666.00659375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 3666.07409375
transcript.pyannote[260].end 3668.21721875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 3668.58846875
transcript.pyannote[261].end 3670.30971875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 3670.95096875
transcript.pyannote[262].end 3672.13221875
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 3672.77346875
transcript.pyannote[263].end 3674.08971875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 3674.84909375
transcript.pyannote[264].end 3675.74346875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 3675.97971875
transcript.pyannote[265].end 3677.93721875
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 3678.37596875
transcript.pyannote[266].end 3679.16909375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 3679.77659375
transcript.pyannote[267].end 3680.82284375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 3680.95784375
transcript.pyannote[268].end 3682.22346875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 3682.39221875
transcript.pyannote[269].end 3683.03346875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 3683.82659375
transcript.pyannote[270].end 3685.29471875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 3685.46346875
transcript.pyannote[271].end 3685.91909375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 3686.25659375
transcript.pyannote[272].end 3689.29409375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 3689.54721875
transcript.pyannote[273].end 3690.40784375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 3690.82971875
transcript.pyannote[274].end 3692.70284375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 3693.02346875
transcript.pyannote[275].end 3694.45784375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 3695.16659375
transcript.pyannote[276].end 3696.28034375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 3696.88784375
transcript.pyannote[277].end 3698.08596875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 3698.62596875
transcript.pyannote[278].end 3700.14471875
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 3700.85346875
transcript.pyannote[279].end 3702.47346875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 3702.50721875
transcript.pyannote[280].end 3703.77284375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 3704.85284375
transcript.pyannote[281].end 3706.08471875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 3706.89471875
transcript.pyannote[282].end 3708.56534375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 3709.12221875
transcript.pyannote[283].end 3710.59034375
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 3710.91096875
transcript.pyannote[284].end 3712.07534375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 3713.12159375
transcript.pyannote[285].end 3714.18471875
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 3714.67409375
transcript.pyannote[286].end 3715.26471875
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 3715.65284375
transcript.pyannote[287].end 3716.17596875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 3716.34471875
transcript.pyannote[288].end 3717.86346875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 3718.79159375
transcript.pyannote[289].end 3719.33159375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 3719.90534375
transcript.pyannote[290].end 3722.09909375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 3723.33096875
transcript.pyannote[291].end 3724.63034375
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 3725.10284375
transcript.pyannote[292].end 3727.21221875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 3727.44846875
transcript.pyannote[293].end 3728.54534375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 3728.98409375
transcript.pyannote[294].end 3732.40971875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 3732.56159375
transcript.pyannote[295].end 3734.97471875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 3735.54846875
transcript.pyannote[296].end 3737.30346875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 3737.48909375
transcript.pyannote[297].end 3740.59409375
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 3740.91471875
transcript.pyannote[298].end 3741.70784375
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 3741.84284375
transcript.pyannote[299].end 3745.48784375
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 3746.26409375
transcript.pyannote[300].end 3747.66471875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 3747.68159375
transcript.pyannote[301].end 3748.59284375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 3748.74471875
transcript.pyannote[302].end 3750.80346875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 3751.19159375
transcript.pyannote[303].end 3752.62596875
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 3752.94659375
transcript.pyannote[304].end 3757.41846875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 3758.17784375
transcript.pyannote[305].end 3760.64159375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 3761.01284375
transcript.pyannote[306].end 3762.53159375
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 3762.63284375
transcript.pyannote[307].end 3764.47221875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 3764.69159375
transcript.pyannote[308].end 3766.83471875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 3767.37471875
transcript.pyannote[309].end 3770.49659375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 3770.95221875
transcript.pyannote[310].end 3779.55846875
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 3779.94659375
transcript.pyannote[311].end 3782.29221875
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 3782.89971875
transcript.pyannote[312].end 3783.82784375
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 3784.14846875
transcript.pyannote[313].end 3786.25784375
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 3786.59534375
transcript.pyannote[314].end 3787.23659375
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 3787.84409375
transcript.pyannote[315].end 3788.78909375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 3788.97471875
transcript.pyannote[316].end 3789.43034375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 3789.59909375
transcript.pyannote[317].end 3791.55659375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 3792.07971875
transcript.pyannote[318].end 3793.61534375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 3793.80096875
transcript.pyannote[319].end 3794.84721875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 3795.28596875
transcript.pyannote[320].end 3797.47971875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 3797.66534375
transcript.pyannote[321].end 3798.98159375
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 3799.53846875
transcript.pyannote[322].end 3807.01409375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 3807.73971875
transcript.pyannote[323].end 3809.91659375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 3810.05159375
transcript.pyannote[324].end 3820.09221875
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 3820.22721875
transcript.pyannote[325].end 3820.63221875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 3820.26096875
transcript.pyannote[326].end 3826.52159375
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 3826.97721875
transcript.pyannote[327].end 3828.27659375
transcript.pyannote[328].speaker SPEAKER_12
transcript.pyannote[328].start 3831.85409375
transcript.pyannote[328].end 3833.03534375
transcript.pyannote[329].speaker SPEAKER_12
transcript.pyannote[329].start 3833.65971875
transcript.pyannote[329].end 3836.19096875
transcript.pyannote[330].speaker SPEAKER_12
transcript.pyannote[330].start 3836.47784375
transcript.pyannote[330].end 3839.02596875
transcript.pyannote[331].speaker SPEAKER_12
transcript.pyannote[331].start 3839.26221875
transcript.pyannote[331].end 3842.24909375
transcript.pyannote[332].speaker SPEAKER_12
transcript.pyannote[332].start 3842.75534375
transcript.pyannote[332].end 3844.22346875
transcript.pyannote[333].speaker SPEAKER_12
transcript.pyannote[333].start 3844.72971875
transcript.pyannote[333].end 3847.63221875
transcript.pyannote[334].speaker SPEAKER_12
transcript.pyannote[334].start 3847.98659375
transcript.pyannote[334].end 3851.02409375
transcript.pyannote[335].speaker SPEAKER_12
transcript.pyannote[335].start 3851.31096875
transcript.pyannote[335].end 3855.81659375
transcript.pyannote[336].speaker SPEAKER_12
transcript.pyannote[336].start 3856.32284375
transcript.pyannote[336].end 3857.80784375
transcript.pyannote[337].speaker SPEAKER_12
transcript.pyannote[337].start 3858.04409375
transcript.pyannote[337].end 3859.79909375
transcript.pyannote[338].speaker SPEAKER_12
transcript.pyannote[338].start 3859.96784375
transcript.pyannote[338].end 3860.37284375
transcript.pyannote[339].speaker SPEAKER_12
transcript.pyannote[339].start 3860.64284375
transcript.pyannote[339].end 3861.30096875
transcript.pyannote[340].speaker SPEAKER_12
transcript.pyannote[340].start 3861.57096875
transcript.pyannote[340].end 3863.74784375
transcript.pyannote[341].speaker SPEAKER_12
transcript.pyannote[341].start 3864.35534375
transcript.pyannote[341].end 3870.73409375
transcript.pyannote[342].speaker SPEAKER_12
transcript.pyannote[342].start 3871.27409375
transcript.pyannote[342].end 3875.20596875
transcript.pyannote[343].speaker SPEAKER_12
transcript.pyannote[343].start 3875.67846875
transcript.pyannote[343].end 3878.68221875
transcript.pyannote[344].speaker SPEAKER_12
transcript.pyannote[344].start 3879.28971875
transcript.pyannote[344].end 3885.68534375
transcript.pyannote[345].speaker SPEAKER_12
transcript.pyannote[345].start 3886.07346875
transcript.pyannote[345].end 3888.65534375
transcript.pyannote[346].speaker SPEAKER_12
transcript.pyannote[346].start 3889.14471875
transcript.pyannote[346].end 3889.88721875
transcript.pyannote[347].speaker SPEAKER_12
transcript.pyannote[347].start 3890.29221875
transcript.pyannote[347].end 3891.82784375
transcript.pyannote[348].speaker SPEAKER_12
transcript.pyannote[348].start 3892.65471875
transcript.pyannote[348].end 3893.17784375
transcript.pyannote[349].speaker SPEAKER_12
transcript.pyannote[349].start 3893.95409375
transcript.pyannote[349].end 3894.96659375
transcript.pyannote[350].speaker SPEAKER_12
transcript.pyannote[350].start 3895.38846875
transcript.pyannote[350].end 3896.13096875
transcript.pyannote[351].speaker SPEAKER_12
transcript.pyannote[351].start 3896.67096875
transcript.pyannote[351].end 3897.19409375
transcript.pyannote[352].speaker SPEAKER_12
transcript.pyannote[352].start 3897.71721875
transcript.pyannote[352].end 3899.48909375
transcript.pyannote[353].speaker SPEAKER_12
transcript.pyannote[353].start 3900.19784375
transcript.pyannote[353].end 3902.64471875
transcript.pyannote[354].speaker SPEAKER_12
transcript.pyannote[354].start 3902.91471875
transcript.pyannote[354].end 3904.29846875
transcript.pyannote[355].speaker SPEAKER_12
transcript.pyannote[355].start 3904.68659375
transcript.pyannote[355].end 3906.28971875
transcript.pyannote[356].speaker SPEAKER_12
transcript.pyannote[356].start 3906.74534375
transcript.pyannote[356].end 3907.13346875
transcript.pyannote[357].speaker SPEAKER_12
transcript.pyannote[357].start 3907.57221875
transcript.pyannote[357].end 3908.29784375
transcript.pyannote[358].speaker SPEAKER_12
transcript.pyannote[358].start 3909.02346875
transcript.pyannote[358].end 3910.18784375
transcript.pyannote[359].speaker SPEAKER_12
transcript.pyannote[359].start 3910.54221875
transcript.pyannote[359].end 3911.40284375
transcript.pyannote[360].speaker SPEAKER_12
transcript.pyannote[360].start 3912.02721875
transcript.pyannote[360].end 3912.51659375
transcript.pyannote[361].speaker SPEAKER_12
transcript.pyannote[361].start 3913.05659375
transcript.pyannote[361].end 3913.64721875
transcript.pyannote[362].speaker SPEAKER_12
transcript.pyannote[362].start 3913.91721875
transcript.pyannote[362].end 3917.86596875
transcript.pyannote[363].speaker SPEAKER_12
transcript.pyannote[363].start 3918.55784375
transcript.pyannote[363].end 3919.09784375
transcript.pyannote[364].speaker SPEAKER_12
transcript.pyannote[364].start 3919.57034375
transcript.pyannote[364].end 3920.32971875
transcript.pyannote[365].speaker SPEAKER_12
transcript.pyannote[365].start 3920.53221875
transcript.pyannote[365].end 3921.27471875
transcript.pyannote[366].speaker SPEAKER_12
transcript.pyannote[366].start 3921.73034375
transcript.pyannote[366].end 3923.01284375
transcript.pyannote[367].speaker SPEAKER_12
transcript.pyannote[367].start 3923.33346875
transcript.pyannote[367].end 3924.02534375
transcript.pyannote[368].speaker SPEAKER_12
transcript.pyannote[368].start 3924.34596875
transcript.pyannote[368].end 3926.94471875
transcript.pyannote[369].speaker SPEAKER_12
transcript.pyannote[369].start 3927.83909375
transcript.pyannote[369].end 3929.52659375
transcript.pyannote[370].speaker SPEAKER_12
transcript.pyannote[370].start 3930.15096875
transcript.pyannote[370].end 3930.77534375
transcript.pyannote[371].speaker SPEAKER_12
transcript.pyannote[371].start 3931.34909375
transcript.pyannote[371].end 3933.30659375
transcript.pyannote[372].speaker SPEAKER_12
transcript.pyannote[372].start 3933.84659375
transcript.pyannote[372].end 3934.21784375
transcript.pyannote[373].speaker SPEAKER_12
transcript.pyannote[373].start 3934.79159375
transcript.pyannote[373].end 3935.80409375
transcript.pyannote[374].speaker SPEAKER_12
transcript.pyannote[374].start 3936.85034375
transcript.pyannote[374].end 3938.48721875
transcript.pyannote[375].speaker SPEAKER_12
transcript.pyannote[375].start 3939.31409375
transcript.pyannote[375].end 3940.25909375
transcript.pyannote[376].speaker SPEAKER_12
transcript.pyannote[376].start 3940.37721875
transcript.pyannote[376].end 3942.11534375
transcript.pyannote[377].speaker SPEAKER_12
transcript.pyannote[377].start 3942.50346875
transcript.pyannote[377].end 3944.17409375
transcript.pyannote[378].speaker SPEAKER_12
transcript.pyannote[378].start 3944.46096875
transcript.pyannote[378].end 3945.69284375
transcript.pyannote[379].speaker SPEAKER_12
transcript.pyannote[379].start 3946.50284375
transcript.pyannote[379].end 3947.66721875
transcript.pyannote[380].speaker SPEAKER_12
transcript.pyannote[380].start 3948.30846875
transcript.pyannote[380].end 3949.47284375
transcript.pyannote[381].speaker SPEAKER_12
transcript.pyannote[381].start 3950.06346875
transcript.pyannote[381].end 3950.99159375
transcript.pyannote[382].speaker SPEAKER_12
transcript.pyannote[382].start 3951.75096875
transcript.pyannote[382].end 3952.78034375
transcript.pyannote[383].speaker SPEAKER_12
transcript.pyannote[383].start 3953.57346875
transcript.pyannote[383].end 3954.06284375
transcript.pyannote[384].speaker SPEAKER_12
transcript.pyannote[384].start 3954.46784375
transcript.pyannote[384].end 3955.22721875
transcript.pyannote[385].speaker SPEAKER_12
transcript.pyannote[385].start 3955.49721875
transcript.pyannote[385].end 3956.17221875
transcript.pyannote[386].speaker SPEAKER_12
transcript.pyannote[386].start 3956.64471875
transcript.pyannote[386].end 3957.53909375
transcript.pyannote[387].speaker SPEAKER_12
transcript.pyannote[387].start 3958.09596875
transcript.pyannote[387].end 3961.20096875
transcript.pyannote[388].speaker SPEAKER_12
transcript.pyannote[388].start 3961.70721875
transcript.pyannote[388].end 3967.09034375
transcript.pyannote[389].speaker SPEAKER_12
transcript.pyannote[389].start 3967.54596875
transcript.pyannote[389].end 3969.35159375
transcript.pyannote[390].speaker SPEAKER_12
transcript.pyannote[390].start 3969.89159375
transcript.pyannote[390].end 3971.24159375
transcript.pyannote[391].speaker SPEAKER_12
transcript.pyannote[391].start 3972.59159375
transcript.pyannote[391].end 3973.90784375
transcript.pyannote[392].speaker SPEAKER_12
transcript.pyannote[392].start 3975.17346875
transcript.pyannote[392].end 3975.93284375
transcript.pyannote[393].speaker SPEAKER_12
transcript.pyannote[393].start 3976.16909375
transcript.pyannote[393].end 3977.72159375
transcript.pyannote[394].speaker SPEAKER_12
transcript.pyannote[394].start 3978.17721875
transcript.pyannote[394].end 3978.91971875
transcript.pyannote[395].speaker SPEAKER_12
transcript.pyannote[395].start 3979.42596875
transcript.pyannote[395].end 3980.94471875
transcript.pyannote[396].speaker SPEAKER_12
transcript.pyannote[396].start 3981.82221875
transcript.pyannote[396].end 3983.86409375
transcript.pyannote[397].speaker SPEAKER_12
transcript.pyannote[397].start 3984.23534375
transcript.pyannote[397].end 3985.83846875
transcript.pyannote[398].speaker SPEAKER_12
transcript.pyannote[398].start 3986.15909375
transcript.pyannote[398].end 3988.94346875
transcript.pyannote[399].speaker SPEAKER_12
transcript.pyannote[399].start 3989.56784375
transcript.pyannote[399].end 3992.16659375
transcript.pyannote[400].speaker SPEAKER_12
transcript.pyannote[400].start 3992.72346875
transcript.pyannote[400].end 3993.16221875
transcript.pyannote[401].speaker SPEAKER_12
transcript.pyannote[401].start 3994.66409375
transcript.pyannote[401].end 3995.13659375
transcript.pyannote[402].speaker SPEAKER_12
transcript.pyannote[402].start 3995.86221875
transcript.pyannote[402].end 3996.21659375
transcript.pyannote[403].speaker SPEAKER_12
transcript.pyannote[403].start 3997.26284375
transcript.pyannote[403].end 3998.42721875
transcript.pyannote[404].speaker SPEAKER_12
transcript.pyannote[404].start 3998.89971875
transcript.pyannote[404].end 3999.16971875
transcript.pyannote[405].speaker SPEAKER_12
transcript.pyannote[405].start 3999.35534375
transcript.pyannote[405].end 3999.74346875
transcript.pyannote[406].speaker SPEAKER_12
transcript.pyannote[406].start 4000.14846875
transcript.pyannote[406].end 4000.68846875
transcript.pyannote[407].speaker SPEAKER_12
transcript.pyannote[407].start 4001.29596875
transcript.pyannote[407].end 4002.10596875
transcript.pyannote[408].speaker SPEAKER_12
transcript.pyannote[408].start 4002.81471875
transcript.pyannote[408].end 4013.80034375
transcript.pyannote[409].speaker SPEAKER_12
transcript.pyannote[409].start 4014.28971875
transcript.pyannote[409].end 4022.96346875
transcript.pyannote[410].speaker SPEAKER_12
transcript.pyannote[410].start 4023.16596875
transcript.pyannote[410].end 4024.51596875
transcript.pyannote[411].speaker SPEAKER_12
transcript.pyannote[411].start 4024.95471875
transcript.pyannote[411].end 4026.16971875
transcript.pyannote[412].speaker SPEAKER_12
transcript.pyannote[412].start 4026.54096875
transcript.pyannote[412].end 4027.67159375
transcript.pyannote[413].speaker SPEAKER_12
transcript.pyannote[413].start 4027.87409375
transcript.pyannote[413].end 4028.76846875
transcript.pyannote[414].speaker SPEAKER_12
transcript.pyannote[414].start 4029.40971875
transcript.pyannote[414].end 4032.00846875
transcript.pyannote[415].speaker SPEAKER_02
transcript.pyannote[415].start 4032.17721875
transcript.pyannote[415].end 4038.69096875
transcript.pyannote[416].speaker SPEAKER_02
transcript.pyannote[416].start 4041.12096875
transcript.pyannote[416].end 4041.13784375
transcript.pyannote[417].speaker SPEAKER_12
transcript.pyannote[417].start 4041.13784375
transcript.pyannote[417].end 4041.17159375
transcript.pyannote[418].speaker SPEAKER_02
transcript.pyannote[418].start 4041.17159375
transcript.pyannote[418].end 4041.27284375
transcript.pyannote[419].speaker SPEAKER_12
transcript.pyannote[419].start 4041.27284375
transcript.pyannote[419].end 4045.69409375
transcript.pyannote[420].speaker SPEAKER_10
transcript.pyannote[420].start 4047.83721875
transcript.pyannote[420].end 4052.39346875
transcript.pyannote[421].speaker SPEAKER_10
transcript.pyannote[421].start 4052.42721875
transcript.pyannote[421].end 4061.94471875
transcript.pyannote[422].speaker SPEAKER_10
transcript.pyannote[422].start 4062.36659375
transcript.pyannote[422].end 4066.53471875
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 4066.90596875
transcript.pyannote[423].end 4067.78346875
transcript.pyannote[424].speaker SPEAKER_10
transcript.pyannote[424].start 4067.90159375
transcript.pyannote[424].end 4085.63721875
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 4085.68784375
transcript.pyannote[425].end 4102.29284375
transcript.pyannote[426].speaker SPEAKER_10
transcript.pyannote[426].start 4102.79909375
transcript.pyannote[426].end 4106.29221875
transcript.pyannote[427].speaker SPEAKER_10
transcript.pyannote[427].start 4106.76471875
transcript.pyannote[427].end 4132.07721875
transcript.pyannote[428].speaker SPEAKER_10
transcript.pyannote[428].start 4132.44846875
transcript.pyannote[428].end 4147.02846875
transcript.pyannote[429].speaker SPEAKER_10
transcript.pyannote[429].start 4147.31534375
transcript.pyannote[429].end 4166.35034375
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 4166.68784375
transcript.pyannote[430].end 4169.11784375
transcript.pyannote[431].speaker SPEAKER_10
transcript.pyannote[431].start 4169.33721875
transcript.pyannote[431].end 4173.70784375
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 4174.01159375
transcript.pyannote[432].end 4176.79596875
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 4177.33596875
transcript.pyannote[433].end 4180.01909375
transcript.pyannote[434].speaker SPEAKER_10
transcript.pyannote[434].start 4180.20471875
transcript.pyannote[434].end 4186.04346875
transcript.pyannote[435].speaker SPEAKER_10
transcript.pyannote[435].start 4186.44846875
transcript.pyannote[435].end 4202.00721875
transcript.pyannote[436].speaker SPEAKER_10
transcript.pyannote[436].start 4203.32346875
transcript.pyannote[436].end 4217.02596875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 4217.44784375
transcript.pyannote[437].end 4224.29909375
transcript.pyannote[438].speaker SPEAKER_10
transcript.pyannote[438].start 4224.46784375
transcript.pyannote[438].end 4241.71409375
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 4242.06846875
transcript.pyannote[439].end 4246.54034375
transcript.pyannote[440].speaker SPEAKER_10
transcript.pyannote[440].start 4246.82721875
transcript.pyannote[440].end 4250.43846875
transcript.pyannote[441].speaker SPEAKER_10
transcript.pyannote[441].start 4250.45534375
transcript.pyannote[441].end 4262.45346875
transcript.pyannote[442].speaker SPEAKER_10
transcript.pyannote[442].start 4262.79096875
transcript.pyannote[442].end 4269.77721875
transcript.pyannote[443].speaker SPEAKER_10
transcript.pyannote[443].start 4270.14846875
transcript.pyannote[443].end 4275.58221875
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 4275.88596875
transcript.pyannote[444].end 4277.40471875
transcript.pyannote[445].speaker SPEAKER_10
transcript.pyannote[445].start 4277.45534375
transcript.pyannote[445].end 4296.11909375
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 4296.25409375
transcript.pyannote[446].end 4308.82596875
transcript.pyannote[447].speaker SPEAKER_10
transcript.pyannote[447].start 4308.94409375
transcript.pyannote[447].end 4317.76971875
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 4318.34346875
transcript.pyannote[448].end 4338.71159375
transcript.pyannote[449].speaker SPEAKER_10
transcript.pyannote[449].start 4338.76221875
transcript.pyannote[449].end 4344.36471875
transcript.pyannote[450].speaker SPEAKER_10
transcript.pyannote[450].start 4345.52909375
transcript.pyannote[450].end 4368.83346875
transcript.pyannote[451].speaker SPEAKER_10
transcript.pyannote[451].start 4369.27221875
transcript.pyannote[451].end 4404.08534375
transcript.pyannote[452].speaker SPEAKER_10
transcript.pyannote[452].start 4404.54096875
transcript.pyannote[452].end 4443.55596875
transcript.pyannote[453].speaker SPEAKER_10
transcript.pyannote[453].start 4444.12971875
transcript.pyannote[453].end 4450.93034375
transcript.pyannote[454].speaker SPEAKER_10
transcript.pyannote[454].start 4451.31846875
transcript.pyannote[454].end 4454.49096875
transcript.pyannote[455].speaker SPEAKER_10
transcript.pyannote[455].start 4454.72721875
transcript.pyannote[455].end 4474.25159375
transcript.pyannote[456].speaker SPEAKER_10
transcript.pyannote[456].start 4474.40346875
transcript.pyannote[456].end 4477.50846875
transcript.pyannote[457].speaker SPEAKER_12
transcript.pyannote[457].start 4479.28034375
transcript.pyannote[457].end 4480.03971875
transcript.pyannote[458].speaker SPEAKER_12
transcript.pyannote[458].start 4482.87471875
transcript.pyannote[458].end 4484.84909375
transcript.pyannote[459].speaker SPEAKER_12
transcript.pyannote[459].start 4485.06846875
transcript.pyannote[459].end 4488.62909375
transcript.pyannote[460].speaker SPEAKER_12
transcript.pyannote[460].start 4489.15221875
transcript.pyannote[460].end 4492.22346875
transcript.pyannote[461].speaker SPEAKER_12
transcript.pyannote[461].start 4492.93221875
transcript.pyannote[461].end 4499.69909375
transcript.pyannote[462].speaker SPEAKER_12
transcript.pyannote[462].start 4499.95221875
transcript.pyannote[462].end 4504.44096875
transcript.pyannote[463].speaker SPEAKER_12
transcript.pyannote[463].start 4505.68971875
transcript.pyannote[463].end 4506.06096875
transcript.pyannote[464].speaker SPEAKER_02
transcript.pyannote[464].start 4511.30909375
transcript.pyannote[464].end 4513.53659375
transcript.pyannote[465].speaker SPEAKER_12
transcript.pyannote[465].start 4513.92471875
transcript.pyannote[465].end 4514.43096875
transcript.pyannote[466].speaker SPEAKER_02
transcript.pyannote[466].start 4514.43096875
transcript.pyannote[466].end 4514.44784375
transcript.pyannote[467].speaker SPEAKER_12
transcript.pyannote[467].start 4514.44784375
transcript.pyannote[467].end 4514.51534375
transcript.pyannote[468].speaker SPEAKER_02
transcript.pyannote[468].start 4514.51534375
transcript.pyannote[468].end 4514.54909375
transcript.pyannote[469].speaker SPEAKER_02
transcript.pyannote[469].start 4520.32034375
transcript.pyannote[469].end 4528.33596875
transcript.pyannote[470].speaker SPEAKER_02
transcript.pyannote[470].start 4528.99409375
transcript.pyannote[470].end 4534.52909375
transcript.pyannote[471].speaker SPEAKER_02
transcript.pyannote[471].start 4535.38971875
transcript.pyannote[471].end 4536.03096875
transcript.pyannote[472].speaker SPEAKER_02
transcript.pyannote[472].start 4536.68909375
transcript.pyannote[472].end 4540.28346875
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 4540.85721875
transcript.pyannote[473].end 4551.04971875
transcript.pyannote[474].speaker SPEAKER_02
transcript.pyannote[474].start 4551.21846875
transcript.pyannote[474].end 4558.12034375
transcript.pyannote[475].speaker SPEAKER_10
transcript.pyannote[475].start 4559.14971875
transcript.pyannote[475].end 4579.06221875
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 4567.31721875
transcript.pyannote[476].end 4567.33409375
transcript.pyannote[477].speaker SPEAKER_06
transcript.pyannote[477].start 4567.33409375
transcript.pyannote[477].end 4567.65471875
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 4567.65471875
transcript.pyannote[478].end 4567.68846875
transcript.pyannote[479].speaker SPEAKER_13
transcript.pyannote[479].start 4578.15096875
transcript.pyannote[479].end 4578.16784375
transcript.pyannote[480].speaker SPEAKER_02
transcript.pyannote[480].start 4578.16784375
transcript.pyannote[480].end 4578.85971875
transcript.pyannote[481].speaker SPEAKER_10
transcript.pyannote[481].start 4579.09596875
transcript.pyannote[481].end 4581.52596875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 4581.54284375
transcript.pyannote[482].end 4581.55971875
transcript.pyannote[483].speaker SPEAKER_02
transcript.pyannote[483].start 4581.55971875
transcript.pyannote[483].end 4585.54221875
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 4585.71096875
transcript.pyannote[484].end 4605.94409375
transcript.pyannote[485].speaker SPEAKER_07
transcript.pyannote[485].start 4601.48909375
transcript.pyannote[485].end 4601.50596875
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 4601.50596875
transcript.pyannote[486].end 4602.99096875
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 4604.86409375
transcript.pyannote[487].end 4618.63409375
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 4618.63409375
transcript.pyannote[488].end 4625.04659375
transcript.pyannote[489].speaker SPEAKER_02
transcript.pyannote[489].start 4624.42221875
transcript.pyannote[489].end 4624.96221875
transcript.pyannote[490].speaker SPEAKER_02
transcript.pyannote[490].start 4625.04659375
transcript.pyannote[490].end 4625.99159375
transcript.pyannote[491].speaker SPEAKER_10
transcript.pyannote[491].start 4625.99159375
transcript.pyannote[491].end 4626.02534375
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 4626.36284375
transcript.pyannote[492].end 4635.01971875
transcript.pyannote[493].speaker SPEAKER_02
transcript.pyannote[493].start 4634.90159375
transcript.pyannote[493].end 4638.58034375
transcript.pyannote[494].speaker SPEAKER_02
transcript.pyannote[494].start 4639.42409375
transcript.pyannote[494].end 4642.20846875
transcript.pyannote[495].speaker SPEAKER_10
transcript.pyannote[495].start 4642.27596875
transcript.pyannote[495].end 4661.68221875
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 4655.60721875
transcript.pyannote[496].end 4655.62409375
transcript.pyannote[497].speaker SPEAKER_07
transcript.pyannote[497].start 4655.62409375
transcript.pyannote[497].end 4655.67471875
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 4655.67471875
transcript.pyannote[498].end 4656.11346875
transcript.pyannote[499].speaker SPEAKER_07
transcript.pyannote[499].start 4656.11346875
transcript.pyannote[499].end 4656.13034375
transcript.pyannote[500].speaker SPEAKER_07
transcript.pyannote[500].start 4657.59846875
transcript.pyannote[500].end 4657.63221875
transcript.pyannote[501].speaker SPEAKER_07
transcript.pyannote[501].start 4657.66596875
transcript.pyannote[501].end 4657.69971875
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 4662.15471875
transcript.pyannote[502].end 4669.00596875
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 4669.05659375
transcript.pyannote[503].end 4669.07346875
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 4669.09034375
transcript.pyannote[504].end 4673.83221875
transcript.pyannote[505].speaker SPEAKER_02
transcript.pyannote[505].start 4671.14909375
transcript.pyannote[505].end 4671.18284375
transcript.pyannote[506].speaker SPEAKER_02
transcript.pyannote[506].start 4673.27534375
transcript.pyannote[506].end 4673.44409375
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 4673.83221875
transcript.pyannote[507].end 4676.26221875
transcript.pyannote[508].speaker SPEAKER_02
transcript.pyannote[508].start 4676.38034375
transcript.pyannote[508].end 4710.43409375
transcript.pyannote[509].speaker SPEAKER_10
transcript.pyannote[509].start 4710.43409375
transcript.pyannote[509].end 4712.29034375
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 4711.21034375
transcript.pyannote[510].end 4722.02721875
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 4722.02721875
transcript.pyannote[511].end 4723.88346875
transcript.pyannote[512].speaker SPEAKER_02
transcript.pyannote[512].start 4723.88346875
transcript.pyannote[512].end 4723.96784375
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 4723.96784375
transcript.pyannote[513].end 4723.98471875
transcript.pyannote[514].speaker SPEAKER_02
transcript.pyannote[514].start 4723.98471875
transcript.pyannote[514].end 4724.03534375
transcript.pyannote[515].speaker SPEAKER_10
transcript.pyannote[515].start 4724.37284375
transcript.pyannote[515].end 4736.80971875
transcript.pyannote[516].speaker SPEAKER_02
transcript.pyannote[516].start 4736.80971875
transcript.pyannote[516].end 4741.02846875
transcript.pyannote[517].speaker SPEAKER_02
transcript.pyannote[517].start 4741.24784375
transcript.pyannote[517].end 4746.69846875
transcript.pyannote[518].speaker SPEAKER_02
transcript.pyannote[518].start 4746.98534375
transcript.pyannote[518].end 4758.37596875
transcript.pyannote[519].speaker SPEAKER_02
transcript.pyannote[519].start 4758.94971875
transcript.pyannote[519].end 4760.97471875
transcript.pyannote[520].speaker SPEAKER_10
transcript.pyannote[520].start 4760.97471875
transcript.pyannote[520].end 4760.99159375
transcript.pyannote[521].speaker SPEAKER_02
transcript.pyannote[521].start 4760.99159375
transcript.pyannote[521].end 4764.92346875
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 4761.31221875
transcript.pyannote[522].end 4761.34596875
transcript.pyannote[523].speaker SPEAKER_06
transcript.pyannote[523].start 4762.42596875
transcript.pyannote[523].end 4762.64534375
transcript.pyannote[524].speaker SPEAKER_10
transcript.pyannote[524].start 4762.64534375
transcript.pyannote[524].end 4762.83096875
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 4762.83096875
transcript.pyannote[525].end 4762.84784375
transcript.pyannote[526].speaker SPEAKER_10
transcript.pyannote[526].start 4764.45096875
transcript.pyannote[526].end 4773.73221875
transcript.pyannote[527].speaker SPEAKER_02
transcript.pyannote[527].start 4769.02409375
transcript.pyannote[527].end 4771.55534375
transcript.pyannote[528].speaker SPEAKER_02
transcript.pyannote[528].start 4773.37784375
transcript.pyannote[528].end 4786.16909375
transcript.pyannote[529].speaker SPEAKER_06
transcript.pyannote[529].start 4783.21596875
transcript.pyannote[529].end 4783.41846875
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 4786.89471875
transcript.pyannote[530].end 4823.42909375
transcript.pyannote[531].speaker SPEAKER_02
transcript.pyannote[531].start 4823.59784375
transcript.pyannote[531].end 4824.00284375
transcript.pyannote[532].speaker SPEAKER_02
transcript.pyannote[532].start 4824.96471875
transcript.pyannote[532].end 4827.14159375
transcript.pyannote[533].speaker SPEAKER_10
transcript.pyannote[533].start 4827.54659375
transcript.pyannote[533].end 4829.14971875
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 4829.40284375
transcript.pyannote[534].end 4835.59596875
transcript.pyannote[535].speaker SPEAKER_10
transcript.pyannote[535].start 4835.83221875
transcript.pyannote[535].end 4845.61971875
transcript.pyannote[536].speaker SPEAKER_10
transcript.pyannote[536].start 4845.82221875
transcript.pyannote[536].end 4861.95471875
transcript.pyannote[537].speaker SPEAKER_00
transcript.pyannote[537].start 4849.87221875
transcript.pyannote[537].end 4850.39534375
transcript.pyannote[538].speaker SPEAKER_02
transcript.pyannote[538].start 4855.76159375
transcript.pyannote[538].end 4856.40284375
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 4861.95471875
transcript.pyannote[539].end 4873.32846875
transcript.pyannote[540].speaker SPEAKER_02
transcript.pyannote[540].start 4873.51409375
transcript.pyannote[540].end 4873.56471875
transcript.pyannote[541].speaker SPEAKER_10
transcript.pyannote[541].start 4873.56471875
transcript.pyannote[541].end 4906.52159375
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 4903.99034375
transcript.pyannote[542].end 4904.51346875
transcript.pyannote[543].speaker SPEAKER_02
transcript.pyannote[543].start 4906.03221875
transcript.pyannote[543].end 4917.52409375
transcript.pyannote[544].speaker SPEAKER_02
transcript.pyannote[544].start 4917.60846875
transcript.pyannote[544].end 4933.72409375
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 4919.24534375
transcript.pyannote[545].end 4919.65034375
transcript.pyannote[546].speaker SPEAKER_13
transcript.pyannote[546].start 4925.03346875
transcript.pyannote[546].end 4925.47221875
transcript.pyannote[547].speaker SPEAKER_06
transcript.pyannote[547].start 4925.47221875
transcript.pyannote[547].end 4925.48909375
transcript.pyannote[548].speaker SPEAKER_02
transcript.pyannote[548].start 4933.97721875
transcript.pyannote[548].end 4934.55096875
transcript.pyannote[549].speaker SPEAKER_02
transcript.pyannote[549].start 4934.82096875
transcript.pyannote[549].end 4935.58034375
transcript.pyannote[550].speaker SPEAKER_02
transcript.pyannote[550].start 4935.90096875
transcript.pyannote[550].end 4970.54534375
transcript.pyannote[551].speaker SPEAKER_10
transcript.pyannote[551].start 4970.62971875
transcript.pyannote[551].end 4976.63721875
transcript.pyannote[552].speaker SPEAKER_10
transcript.pyannote[552].start 4976.97471875
transcript.pyannote[552].end 4987.09971875
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 4977.07596875
transcript.pyannote[553].end 4977.36284375
transcript.pyannote[554].speaker SPEAKER_10
transcript.pyannote[554].start 4987.30221875
transcript.pyannote[554].end 5002.35471875
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 4990.39034375
transcript.pyannote[555].end 4990.87971875
transcript.pyannote[556].speaker SPEAKER_02
transcript.pyannote[556].start 4993.66409375
transcript.pyannote[556].end 4995.21659375
transcript.pyannote[557].speaker SPEAKER_13
transcript.pyannote[557].start 4995.21659375
transcript.pyannote[557].end 4995.28409375
transcript.pyannote[558].speaker SPEAKER_02
transcript.pyannote[558].start 5001.57846875
transcript.pyannote[558].end 5002.28721875
transcript.pyannote[559].speaker SPEAKER_02
transcript.pyannote[559].start 5002.35471875
transcript.pyannote[559].end 5006.25284375
transcript.pyannote[560].speaker SPEAKER_02
transcript.pyannote[560].start 5006.45534375
transcript.pyannote[560].end 5035.00784375
transcript.pyannote[561].speaker SPEAKER_10
transcript.pyannote[561].start 5035.00784375
transcript.pyannote[561].end 5040.42471875
transcript.pyannote[562].speaker SPEAKER_02
transcript.pyannote[562].start 5040.82971875
transcript.pyannote[562].end 5057.82284375
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 5058.17721875
transcript.pyannote[563].end 5073.02721875
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 5073.46596875
transcript.pyannote[564].end 5076.35159375
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 5076.89159375
transcript.pyannote[565].end 5077.33034375
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 5077.54971875
transcript.pyannote[566].end 5078.59596875
transcript.pyannote[567].speaker SPEAKER_10
transcript.pyannote[567].start 5077.68471875
transcript.pyannote[567].end 5078.39346875
transcript.pyannote[568].speaker SPEAKER_10
transcript.pyannote[568].start 5078.49471875
transcript.pyannote[568].end 5083.70909375
transcript.pyannote[569].speaker SPEAKER_02
transcript.pyannote[569].start 5083.05096875
transcript.pyannote[569].end 5083.54034375
transcript.pyannote[570].speaker SPEAKER_10
transcript.pyannote[570].start 5084.18159375
transcript.pyannote[570].end 5090.15534375
transcript.pyannote[571].speaker SPEAKER_10
transcript.pyannote[571].start 5090.39159375
transcript.pyannote[571].end 5104.73534375
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 5104.88721875
transcript.pyannote[572].end 5105.30909375
transcript.pyannote[573].speaker SPEAKER_02
transcript.pyannote[573].start 5105.71409375
transcript.pyannote[573].end 5132.78159375
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 5133.38909375
transcript.pyannote[574].end 5141.48909375
transcript.pyannote[575].speaker SPEAKER_10
transcript.pyannote[575].start 5142.65346875
transcript.pyannote[575].end 5168.65784375
transcript.pyannote[576].speaker SPEAKER_10
transcript.pyannote[576].start 5168.89409375
transcript.pyannote[576].end 5192.68784375
transcript.pyannote[577].speaker SPEAKER_00
transcript.pyannote[577].start 5180.25096875
transcript.pyannote[577].end 5180.74034375
transcript.pyannote[578].speaker SPEAKER_02
transcript.pyannote[578].start 5192.87346875
transcript.pyannote[578].end 5208.24659375
transcript.pyannote[579].speaker SPEAKER_10
transcript.pyannote[579].start 5208.75284375
transcript.pyannote[579].end 5217.05534375
transcript.pyannote[580].speaker SPEAKER_02
transcript.pyannote[580].start 5217.20721875
transcript.pyannote[580].end 5231.28096875
transcript.pyannote[581].speaker SPEAKER_10
transcript.pyannote[581].start 5221.72971875
transcript.pyannote[581].end 5221.98284375
transcript.pyannote[582].speaker SPEAKER_10
transcript.pyannote[582].start 5224.71659375
transcript.pyannote[582].end 5225.96534375
transcript.pyannote[583].speaker SPEAKER_00
transcript.pyannote[583].start 5225.96534375
transcript.pyannote[583].end 5225.99909375
transcript.pyannote[584].speaker SPEAKER_02
transcript.pyannote[584].start 5231.41596875
transcript.pyannote[584].end 5232.56346875
transcript.pyannote[585].speaker SPEAKER_02
transcript.pyannote[585].start 5233.12034375
transcript.pyannote[585].end 5235.90471875
transcript.pyannote[586].speaker SPEAKER_10
transcript.pyannote[586].start 5235.90471875
transcript.pyannote[586].end 5238.80721875
transcript.pyannote[587].speaker SPEAKER_02
transcript.pyannote[587].start 5236.03971875
transcript.pyannote[587].end 5236.52909375
transcript.pyannote[588].speaker SPEAKER_02
transcript.pyannote[588].start 5238.18284375
transcript.pyannote[588].end 5247.22784375
transcript.pyannote[589].speaker SPEAKER_02
transcript.pyannote[589].start 5247.43034375
transcript.pyannote[589].end 5248.03784375
transcript.pyannote[590].speaker SPEAKER_10
transcript.pyannote[590].start 5248.03784375
transcript.pyannote[590].end 5249.50596875
transcript.pyannote[591].speaker SPEAKER_12
transcript.pyannote[591].start 5253.77534375
transcript.pyannote[591].end 5254.87221875
transcript.pyannote[592].speaker SPEAKER_12
transcript.pyannote[592].start 5255.09159375
transcript.pyannote[592].end 5256.27284375
transcript.pyannote[593].speaker SPEAKER_13
transcript.pyannote[593].start 5259.37784375
transcript.pyannote[593].end 5261.18346875
transcript.pyannote[594].speaker SPEAKER_12
transcript.pyannote[594].start 5261.58846875
transcript.pyannote[594].end 5262.61784375
transcript.pyannote[595].speaker SPEAKER_13
transcript.pyannote[595].start 5266.76909375
transcript.pyannote[595].end 5267.39346875
transcript.pyannote[596].speaker SPEAKER_13
transcript.pyannote[596].start 5267.62971875
transcript.pyannote[596].end 5268.38909375
transcript.pyannote[597].speaker SPEAKER_13
transcript.pyannote[597].start 5269.11471875
transcript.pyannote[597].end 5272.54034375
transcript.pyannote[598].speaker SPEAKER_13
transcript.pyannote[598].start 5272.86096875
transcript.pyannote[598].end 5275.02096875
transcript.pyannote[599].speaker SPEAKER_13
transcript.pyannote[599].start 5275.59471875
transcript.pyannote[599].end 5276.62409375
transcript.pyannote[600].speaker SPEAKER_13
transcript.pyannote[600].start 5277.83909375
transcript.pyannote[600].end 5279.81346875
transcript.pyannote[601].speaker SPEAKER_13
transcript.pyannote[601].start 5281.09596875
transcript.pyannote[601].end 5281.61909375
transcript.pyannote[602].speaker SPEAKER_13
transcript.pyannote[602].start 5282.07471875
transcript.pyannote[602].end 5282.68221875
transcript.pyannote[603].speaker SPEAKER_13
transcript.pyannote[603].start 5283.23909375
transcript.pyannote[603].end 5284.33596875
transcript.pyannote[604].speaker SPEAKER_13
transcript.pyannote[604].start 5285.14596875
transcript.pyannote[604].end 5286.79971875
transcript.pyannote[605].speaker SPEAKER_13
transcript.pyannote[605].start 5288.80784375
transcript.pyannote[605].end 5290.00596875
transcript.pyannote[606].speaker SPEAKER_13
transcript.pyannote[606].start 5290.98471875
transcript.pyannote[606].end 5292.16596875
transcript.pyannote[607].speaker SPEAKER_13
transcript.pyannote[607].start 5292.60471875
transcript.pyannote[607].end 5295.00096875
transcript.pyannote[608].speaker SPEAKER_13
transcript.pyannote[608].start 5295.10221875
transcript.pyannote[608].end 5299.01721875
transcript.pyannote[609].speaker SPEAKER_13
transcript.pyannote[609].start 5299.81034375
transcript.pyannote[609].end 5302.42596875
transcript.pyannote[610].speaker SPEAKER_13
transcript.pyannote[610].start 5303.20221875
transcript.pyannote[610].end 5304.18096875
transcript.pyannote[611].speaker SPEAKER_13
transcript.pyannote[611].start 5304.68721875
transcript.pyannote[611].end 5308.33221875
transcript.pyannote[612].speaker SPEAKER_13
transcript.pyannote[612].start 5309.20971875
transcript.pyannote[612].end 5311.53846875
transcript.pyannote[613].speaker SPEAKER_13
transcript.pyannote[613].start 5311.96034375
transcript.pyannote[613].end 5314.35659375
transcript.pyannote[614].speaker SPEAKER_13
transcript.pyannote[614].start 5314.98096875
transcript.pyannote[614].end 5316.90471875
transcript.pyannote[615].speaker SPEAKER_13
transcript.pyannote[615].start 5317.27596875
transcript.pyannote[615].end 5320.38096875
transcript.pyannote[616].speaker SPEAKER_13
transcript.pyannote[616].start 5320.88721875
transcript.pyannote[616].end 5322.01784375
transcript.pyannote[617].speaker SPEAKER_13
transcript.pyannote[617].start 5322.69284375
transcript.pyannote[617].end 5324.48159375
transcript.pyannote[618].speaker SPEAKER_13
transcript.pyannote[618].start 5325.39284375
transcript.pyannote[618].end 5331.18096875
transcript.pyannote[619].speaker SPEAKER_13
transcript.pyannote[619].start 5332.37909375
transcript.pyannote[619].end 5333.07096875
transcript.pyannote[620].speaker SPEAKER_13
transcript.pyannote[620].start 5333.81346875
transcript.pyannote[620].end 5334.37034375
transcript.pyannote[621].speaker SPEAKER_13
transcript.pyannote[621].start 5334.85971875
transcript.pyannote[621].end 5337.03659375
transcript.pyannote[622].speaker SPEAKER_13
transcript.pyannote[622].start 5337.55971875
transcript.pyannote[622].end 5339.65221875
transcript.pyannote[623].speaker SPEAKER_13
transcript.pyannote[623].start 5340.54659375
transcript.pyannote[623].end 5345.57534375
transcript.pyannote[624].speaker SPEAKER_13
transcript.pyannote[624].start 5345.77784375
transcript.pyannote[624].end 5348.68034375
transcript.pyannote[625].speaker SPEAKER_06
transcript.pyannote[625].start 5349.05159375
transcript.pyannote[625].end 5349.40596875
transcript.pyannote[626].speaker SPEAKER_13
transcript.pyannote[626].start 5349.45659375
transcript.pyannote[626].end 5350.60409375
transcript.pyannote[627].speaker SPEAKER_13
transcript.pyannote[627].start 5350.78971875
transcript.pyannote[627].end 5355.02534375
transcript.pyannote[628].speaker SPEAKER_13
transcript.pyannote[628].start 5355.37971875
transcript.pyannote[628].end 5355.43034375
transcript.pyannote[629].speaker SPEAKER_13
transcript.pyannote[629].start 5355.66659375
transcript.pyannote[629].end 5359.42971875
transcript.pyannote[630].speaker SPEAKER_13
transcript.pyannote[630].start 5359.66596875
transcript.pyannote[630].end 5361.21846875
transcript.pyannote[631].speaker SPEAKER_13
transcript.pyannote[631].start 5361.85971875
transcript.pyannote[631].end 5363.98596875
transcript.pyannote[632].speaker SPEAKER_13
transcript.pyannote[632].start 5364.25596875
transcript.pyannote[632].end 5379.35909375
transcript.pyannote[633].speaker SPEAKER_13
transcript.pyannote[633].start 5380.16909375
transcript.pyannote[633].end 5384.42159375
transcript.pyannote[634].speaker SPEAKER_13
transcript.pyannote[634].start 5385.13034375
transcript.pyannote[634].end 5386.24409375
transcript.pyannote[635].speaker SPEAKER_10
transcript.pyannote[635].start 5385.29909375
transcript.pyannote[635].end 5386.88534375
transcript.pyannote[636].speaker SPEAKER_13
transcript.pyannote[636].start 5386.68284375
transcript.pyannote[636].end 5388.70784375
transcript.pyannote[637].speaker SPEAKER_13
transcript.pyannote[637].start 5389.04534375
transcript.pyannote[637].end 5392.40346875
transcript.pyannote[638].speaker SPEAKER_13
transcript.pyannote[638].start 5392.90971875
transcript.pyannote[638].end 5395.03596875
transcript.pyannote[639].speaker SPEAKER_13
transcript.pyannote[639].start 5395.57596875
transcript.pyannote[639].end 5397.12846875
transcript.pyannote[640].speaker SPEAKER_13
transcript.pyannote[640].start 5398.84971875
transcript.pyannote[640].end 5400.14909375
transcript.pyannote[641].speaker SPEAKER_13
transcript.pyannote[641].start 5400.55409375
transcript.pyannote[641].end 5405.49846875
transcript.pyannote[642].speaker SPEAKER_13
transcript.pyannote[642].start 5405.86971875
transcript.pyannote[642].end 5407.03409375
transcript.pyannote[643].speaker SPEAKER_13
transcript.pyannote[643].start 5407.57409375
transcript.pyannote[643].end 5410.20659375
transcript.pyannote[644].speaker SPEAKER_13
transcript.pyannote[644].start 5411.50596875
transcript.pyannote[644].end 5413.12596875
transcript.pyannote[645].speaker SPEAKER_10
transcript.pyannote[645].start 5414.34096875
transcript.pyannote[645].end 5452.69784375
transcript.pyannote[646].speaker SPEAKER_08
transcript.pyannote[646].start 5428.98846875
transcript.pyannote[646].end 5429.35971875
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 5429.35971875
transcript.pyannote[647].end 5429.37659375
transcript.pyannote[648].speaker SPEAKER_13
transcript.pyannote[648].start 5450.99346875
transcript.pyannote[648].end 5459.02596875
transcript.pyannote[649].speaker SPEAKER_10
transcript.pyannote[649].start 5459.02596875
transcript.pyannote[649].end 5467.98659375
transcript.pyannote[650].speaker SPEAKER_13
transcript.pyannote[650].start 5463.02534375
transcript.pyannote[650].end 5463.44721875
transcript.pyannote[651].speaker SPEAKER_13
transcript.pyannote[651].start 5466.19784375
transcript.pyannote[651].end 5468.23971875
transcript.pyannote[652].speaker SPEAKER_10
transcript.pyannote[652].start 5468.29034375
transcript.pyannote[652].end 5468.67846875
transcript.pyannote[653].speaker SPEAKER_13
transcript.pyannote[653].start 5468.67846875
transcript.pyannote[653].end 5470.77096875
transcript.pyannote[654].speaker SPEAKER_13
transcript.pyannote[654].start 5471.22659375
transcript.pyannote[654].end 5473.31909375
transcript.pyannote[655].speaker SPEAKER_13
transcript.pyannote[655].start 5473.70721875
transcript.pyannote[655].end 5475.98534375
transcript.pyannote[656].speaker SPEAKER_06
transcript.pyannote[656].start 5475.98534375
transcript.pyannote[656].end 5476.82909375
transcript.pyannote[657].speaker SPEAKER_13
transcript.pyannote[657].start 5476.33971875
transcript.pyannote[657].end 5480.13659375
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 5476.82909375
transcript.pyannote[658].end 5476.87971875
transcript.pyannote[659].speaker SPEAKER_13
transcript.pyannote[659].start 5480.54159375
transcript.pyannote[659].end 5481.68909375
transcript.pyannote[660].speaker SPEAKER_10
transcript.pyannote[660].start 5481.68909375
transcript.pyannote[660].end 5482.00971875
transcript.pyannote[661].speaker SPEAKER_13
transcript.pyannote[661].start 5482.27971875
transcript.pyannote[661].end 5483.84909375
transcript.pyannote[662].speaker SPEAKER_13
transcript.pyannote[662].start 5483.93346875
transcript.pyannote[662].end 5485.75596875
transcript.pyannote[663].speaker SPEAKER_13
transcript.pyannote[663].start 5486.51534375
transcript.pyannote[663].end 5487.83159375
transcript.pyannote[664].speaker SPEAKER_13
transcript.pyannote[664].start 5488.23659375
transcript.pyannote[664].end 5492.23596875
transcript.pyannote[665].speaker SPEAKER_13
transcript.pyannote[665].start 5492.65784375
transcript.pyannote[665].end 5497.83846875
transcript.pyannote[666].speaker SPEAKER_13
transcript.pyannote[666].start 5498.27721875
transcript.pyannote[666].end 5499.05346875
transcript.pyannote[667].speaker SPEAKER_13
transcript.pyannote[667].start 5499.30659375
transcript.pyannote[667].end 5500.84221875
transcript.pyannote[668].speaker SPEAKER_13
transcript.pyannote[668].start 5501.14596875
transcript.pyannote[668].end 5504.25096875
transcript.pyannote[669].speaker SPEAKER_13
transcript.pyannote[669].start 5505.46596875
transcript.pyannote[669].end 5506.36034375
transcript.pyannote[670].speaker SPEAKER_13
transcript.pyannote[670].start 5507.40659375
transcript.pyannote[670].end 5508.45284375
transcript.pyannote[671].speaker SPEAKER_13
transcript.pyannote[671].start 5509.33034375
transcript.pyannote[671].end 5510.89971875
transcript.pyannote[672].speaker SPEAKER_13
transcript.pyannote[672].start 5511.57471875
transcript.pyannote[672].end 5511.86159375
transcript.pyannote[673].speaker SPEAKER_13
transcript.pyannote[673].start 5512.26659375
transcript.pyannote[673].end 5512.94159375
transcript.pyannote[674].speaker SPEAKER_13
transcript.pyannote[674].start 5513.53221875
transcript.pyannote[674].end 5514.59534375
transcript.pyannote[675].speaker SPEAKER_13
transcript.pyannote[675].start 5514.64596875
transcript.pyannote[675].end 5516.87346875
transcript.pyannote[676].speaker SPEAKER_13
transcript.pyannote[676].start 5516.97471875
transcript.pyannote[676].end 5518.30784375
transcript.pyannote[677].speaker SPEAKER_13
transcript.pyannote[677].start 5518.59471875
transcript.pyannote[677].end 5521.58159375
transcript.pyannote[678].speaker SPEAKER_13
transcript.pyannote[678].start 5522.25659375
transcript.pyannote[678].end 5537.54534375
transcript.pyannote[679].speaker SPEAKER_13
transcript.pyannote[679].start 5537.93346875
transcript.pyannote[679].end 5538.57471875
transcript.pyannote[680].speaker SPEAKER_13
transcript.pyannote[680].start 5539.43534375
transcript.pyannote[680].end 5541.76409375
transcript.pyannote[681].speaker SPEAKER_13
transcript.pyannote[681].start 5542.57409375
transcript.pyannote[681].end 5545.66221875
transcript.pyannote[682].speaker SPEAKER_13
transcript.pyannote[682].start 5546.23596875
transcript.pyannote[682].end 5548.36221875
transcript.pyannote[683].speaker SPEAKER_13
transcript.pyannote[683].start 5548.91909375
transcript.pyannote[683].end 5550.04971875
transcript.pyannote[684].speaker SPEAKER_13
transcript.pyannote[684].start 5550.80909375
transcript.pyannote[684].end 5562.67221875
transcript.pyannote[685].speaker SPEAKER_13
transcript.pyannote[685].start 5563.85346875
transcript.pyannote[685].end 5565.38909375
transcript.pyannote[686].speaker SPEAKER_13
transcript.pyannote[686].start 5565.89534375
transcript.pyannote[686].end 5569.03409375
transcript.pyannote[687].speaker SPEAKER_13
transcript.pyannote[687].start 5569.37159375
transcript.pyannote[687].end 5575.78409375
transcript.pyannote[688].speaker SPEAKER_13
transcript.pyannote[688].start 5576.52659375
transcript.pyannote[688].end 5578.51784375
transcript.pyannote[689].speaker SPEAKER_13
transcript.pyannote[689].start 5578.88909375
transcript.pyannote[689].end 5582.77034375
transcript.pyannote[690].speaker SPEAKER_13
transcript.pyannote[690].start 5584.03596875
transcript.pyannote[690].end 5585.20034375
transcript.pyannote[691].speaker SPEAKER_13
transcript.pyannote[691].start 5585.57159375
transcript.pyannote[691].end 5586.39846875
transcript.pyannote[692].speaker SPEAKER_13
transcript.pyannote[692].start 5587.76534375
transcript.pyannote[692].end 5589.11534375
transcript.pyannote[693].speaker SPEAKER_13
transcript.pyannote[693].start 5589.65534375
transcript.pyannote[693].end 5590.61721875
transcript.pyannote[694].speaker SPEAKER_13
transcript.pyannote[694].start 5590.83659375
transcript.pyannote[694].end 5592.23721875
transcript.pyannote[695].speaker SPEAKER_13
transcript.pyannote[695].start 5592.77721875
transcript.pyannote[695].end 5596.64159375
transcript.pyannote[696].speaker SPEAKER_10
transcript.pyannote[696].start 5597.38409375
transcript.pyannote[696].end 5622.64596875
transcript.pyannote[697].speaker SPEAKER_13
transcript.pyannote[697].start 5603.27346875
transcript.pyannote[697].end 5603.66159375
transcript.pyannote[698].speaker SPEAKER_13
transcript.pyannote[698].start 5604.47159375
transcript.pyannote[698].end 5604.91034375
transcript.pyannote[699].speaker SPEAKER_13
transcript.pyannote[699].start 5617.98846875
transcript.pyannote[699].end 5619.59159375
transcript.pyannote[700].speaker SPEAKER_13
transcript.pyannote[700].start 5622.64596875
transcript.pyannote[700].end 5624.73846875
transcript.pyannote[701].speaker SPEAKER_13
transcript.pyannote[701].start 5625.21096875
transcript.pyannote[701].end 5626.94909375
transcript.pyannote[702].speaker SPEAKER_13
transcript.pyannote[702].start 5627.57346875
transcript.pyannote[702].end 5630.29034375
transcript.pyannote[703].speaker SPEAKER_13
transcript.pyannote[703].start 5630.30721875
transcript.pyannote[703].end 5630.32409375
transcript.pyannote[704].speaker SPEAKER_10
transcript.pyannote[704].start 5630.32409375
transcript.pyannote[704].end 5633.78346875
transcript.pyannote[705].speaker SPEAKER_13
transcript.pyannote[705].start 5631.99471875
transcript.pyannote[705].end 5639.57159375
transcript.pyannote[706].speaker SPEAKER_13
transcript.pyannote[706].start 5640.17909375
transcript.pyannote[706].end 5641.02284375
transcript.pyannote[707].speaker SPEAKER_13
transcript.pyannote[707].start 5641.30971875
transcript.pyannote[707].end 5647.97534375
transcript.pyannote[708].speaker SPEAKER_10
transcript.pyannote[708].start 5647.89096875
transcript.pyannote[708].end 5647.95846875
transcript.pyannote[709].speaker SPEAKER_10
transcript.pyannote[709].start 5647.97534375
transcript.pyannote[709].end 5649.67971875
transcript.pyannote[710].speaker SPEAKER_13
transcript.pyannote[710].start 5649.49409375
transcript.pyannote[710].end 5653.12221875
transcript.pyannote[711].speaker SPEAKER_10
transcript.pyannote[711].start 5653.12221875
transcript.pyannote[711].end 5653.42596875
transcript.pyannote[712].speaker SPEAKER_13
transcript.pyannote[712].start 5654.13471875
transcript.pyannote[712].end 5661.00284375
transcript.pyannote[713].speaker SPEAKER_13
transcript.pyannote[713].start 5661.61034375
transcript.pyannote[713].end 5663.17971875
transcript.pyannote[714].speaker SPEAKER_13
transcript.pyannote[714].start 5663.65221875
transcript.pyannote[714].end 5665.84596875
transcript.pyannote[715].speaker SPEAKER_13
transcript.pyannote[715].start 5666.30159375
transcript.pyannote[715].end 5670.82409375
transcript.pyannote[716].speaker SPEAKER_13
transcript.pyannote[716].start 5671.61721875
transcript.pyannote[716].end 5679.10971875
transcript.pyannote[717].speaker SPEAKER_13
transcript.pyannote[717].start 5679.76784375
transcript.pyannote[717].end 5681.11784375
transcript.pyannote[718].speaker SPEAKER_13
transcript.pyannote[718].start 5681.75909375
transcript.pyannote[718].end 5690.56784375
transcript.pyannote[719].speaker SPEAKER_13
transcript.pyannote[719].start 5690.71971875
transcript.pyannote[719].end 5691.31034375
transcript.pyannote[720].speaker SPEAKER_13
transcript.pyannote[720].start 5691.61409375
transcript.pyannote[720].end 5693.70659375
transcript.pyannote[721].speaker SPEAKER_13
transcript.pyannote[721].start 5694.11159375
transcript.pyannote[721].end 5701.99221875
transcript.pyannote[722].speaker SPEAKER_13
transcript.pyannote[722].start 5702.54909375
transcript.pyannote[722].end 5714.74971875
transcript.pyannote[723].speaker SPEAKER_13
transcript.pyannote[723].start 5715.32346875
transcript.pyannote[723].end 5718.09096875
transcript.pyannote[724].speaker SPEAKER_13
transcript.pyannote[724].start 5718.42846875
transcript.pyannote[724].end 5719.18784375
transcript.pyannote[725].speaker SPEAKER_13
transcript.pyannote[725].start 5719.39034375
transcript.pyannote[725].end 5720.62221875
transcript.pyannote[726].speaker SPEAKER_13
transcript.pyannote[726].start 5721.36471875
transcript.pyannote[726].end 5725.38096875
transcript.pyannote[727].speaker SPEAKER_13
transcript.pyannote[727].start 5726.07284375
transcript.pyannote[727].end 5726.95034375
transcript.pyannote[728].speaker SPEAKER_13
transcript.pyannote[728].start 5727.57471875
transcript.pyannote[728].end 5732.26596875
transcript.pyannote[729].speaker SPEAKER_13
transcript.pyannote[729].start 5733.09284375
transcript.pyannote[729].end 5735.52284375
transcript.pyannote[730].speaker SPEAKER_13
transcript.pyannote[730].start 5737.00784375
transcript.pyannote[730].end 5740.12971875
transcript.pyannote[731].speaker SPEAKER_13
transcript.pyannote[731].start 5740.58534375
transcript.pyannote[731].end 5743.70721875
transcript.pyannote[732].speaker SPEAKER_13
transcript.pyannote[732].start 5744.50034375
transcript.pyannote[732].end 5745.02346875
transcript.pyannote[733].speaker SPEAKER_10
transcript.pyannote[733].start 5745.02346875
transcript.pyannote[733].end 5745.41159375
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 5747.52096875
transcript.pyannote[734].end 5757.46034375
transcript.pyannote[735].speaker SPEAKER_13
transcript.pyannote[735].start 5757.46034375
transcript.pyannote[735].end 5773.86284375
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 5763.60284375
transcript.pyannote[736].end 5764.73346875
transcript.pyannote[737].speaker SPEAKER_06
transcript.pyannote[737].start 5773.30596875
transcript.pyannote[737].end 5774.09909375
transcript.pyannote[738].speaker SPEAKER_13
transcript.pyannote[738].start 5774.09909375
transcript.pyannote[738].end 5792.83034375
transcript.pyannote[739].speaker SPEAKER_06
transcript.pyannote[739].start 5774.13284375
transcript.pyannote[739].end 5774.57159375
transcript.pyannote[740].speaker SPEAKER_06
transcript.pyannote[740].start 5776.19159375
transcript.pyannote[740].end 5776.39409375
transcript.pyannote[741].speaker SPEAKER_06
transcript.pyannote[741].start 5782.19909375
transcript.pyannote[741].end 5782.67159375
transcript.pyannote[742].speaker SPEAKER_10
transcript.pyannote[742].start 5792.03721875
transcript.pyannote[742].end 5793.69096875
transcript.pyannote[743].speaker SPEAKER_12
transcript.pyannote[743].start 5793.91034375
transcript.pyannote[743].end 5794.80471875
transcript.pyannote[744].speaker SPEAKER_12
transcript.pyannote[744].start 5800.91346875
transcript.pyannote[744].end 5826.41159375
transcript.pyannote[745].speaker SPEAKER_12
transcript.pyannote[745].start 5832.35159375
transcript.pyannote[745].end 5832.87471875
transcript.pyannote[746].speaker SPEAKER_09
transcript.pyannote[746].start 5833.24596875
transcript.pyannote[746].end 5833.60034375
transcript.pyannote[747].speaker SPEAKER_09
transcript.pyannote[747].start 5833.97159375
transcript.pyannote[747].end 5835.22034375
transcript.pyannote[748].speaker SPEAKER_12
transcript.pyannote[748].start 5834.46096875
transcript.pyannote[748].end 5835.23721875
transcript.pyannote[749].speaker SPEAKER_09
transcript.pyannote[749].start 5835.23721875
transcript.pyannote[749].end 5835.30471875
transcript.pyannote[750].speaker SPEAKER_12
transcript.pyannote[750].start 5837.70096875
transcript.pyannote[750].end 5838.44346875
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 5839.65846875
transcript.pyannote[751].end 5854.08659375
transcript.pyannote[752].speaker SPEAKER_09
transcript.pyannote[752].start 5854.55909375
transcript.pyannote[752].end 5858.03534375
transcript.pyannote[753].speaker SPEAKER_09
transcript.pyannote[753].start 5858.40659375
transcript.pyannote[753].end 5859.70596875
transcript.pyannote[754].speaker SPEAKER_09
transcript.pyannote[754].start 5860.97159375
transcript.pyannote[754].end 5860.98846875
transcript.pyannote[755].speaker SPEAKER_10
transcript.pyannote[755].start 5860.98846875
transcript.pyannote[755].end 5868.39659375
transcript.pyannote[756].speaker SPEAKER_09
transcript.pyannote[756].start 5867.18159375
transcript.pyannote[756].end 5870.77596875
transcript.pyannote[757].speaker SPEAKER_09
transcript.pyannote[757].start 5871.07971875
transcript.pyannote[757].end 5871.09659375
transcript.pyannote[758].speaker SPEAKER_10
transcript.pyannote[758].start 5871.09659375
transcript.pyannote[758].end 5876.07471875
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 5875.45034375
transcript.pyannote[759].end 5875.78784375
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 5875.80471875
transcript.pyannote[760].end 5875.83846875
transcript.pyannote[761].speaker SPEAKER_09
transcript.pyannote[761].start 5876.07471875
transcript.pyannote[761].end 5885.18721875
transcript.pyannote[762].speaker SPEAKER_09
transcript.pyannote[762].start 5885.55846875
transcript.pyannote[762].end 5886.46971875
transcript.pyannote[763].speaker SPEAKER_09
transcript.pyannote[763].start 5886.60471875
transcript.pyannote[763].end 5888.46096875
transcript.pyannote[764].speaker SPEAKER_09
transcript.pyannote[764].start 5888.61284375
transcript.pyannote[764].end 5907.91784375
transcript.pyannote[765].speaker SPEAKER_09
transcript.pyannote[765].start 5908.28909375
transcript.pyannote[765].end 5922.37971875
transcript.pyannote[766].speaker SPEAKER_09
transcript.pyannote[766].start 5922.75096875
transcript.pyannote[766].end 5941.29659375
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 5941.70159375
transcript.pyannote[767].end 5946.94971875
transcript.pyannote[768].speaker SPEAKER_09
transcript.pyannote[768].start 5947.10159375
transcript.pyannote[768].end 5950.18971875
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 5950.67909375
transcript.pyannote[769].end 5967.92534375
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 5968.39784375
transcript.pyannote[770].end 5970.20346875
transcript.pyannote[771].speaker SPEAKER_10
transcript.pyannote[771].start 5969.59596875
transcript.pyannote[771].end 5978.32034375
transcript.pyannote[772].speaker SPEAKER_10
transcript.pyannote[772].start 5978.37096875
transcript.pyannote[772].end 5979.16409375
transcript.pyannote[773].speaker SPEAKER_10
transcript.pyannote[773].start 5979.28221875
transcript.pyannote[773].end 5993.64284375
transcript.pyannote[774].speaker SPEAKER_09
transcript.pyannote[774].start 5992.64721875
transcript.pyannote[774].end 6020.59221875
transcript.pyannote[775].speaker SPEAKER_10
transcript.pyannote[775].start 5996.32596875
transcript.pyannote[775].end 5996.56221875
transcript.pyannote[776].speaker SPEAKER_10
transcript.pyannote[776].start 5997.91221875
transcript.pyannote[776].end 5998.38471875
transcript.pyannote[777].speaker SPEAKER_06
transcript.pyannote[777].start 6009.57284375
transcript.pyannote[777].end 6011.05784375
transcript.pyannote[778].speaker SPEAKER_10
transcript.pyannote[778].start 6011.05784375
transcript.pyannote[778].end 6011.07471875
transcript.pyannote[779].speaker SPEAKER_09
transcript.pyannote[779].start 6020.84534375
transcript.pyannote[779].end 6028.40534375
transcript.pyannote[780].speaker SPEAKER_09
transcript.pyannote[780].start 6028.70909375
transcript.pyannote[780].end 6032.16846875
transcript.pyannote[781].speaker SPEAKER_09
transcript.pyannote[781].start 6033.19784375
transcript.pyannote[781].end 6035.64471875
transcript.pyannote[782].speaker SPEAKER_09
transcript.pyannote[782].start 6035.83034375
transcript.pyannote[782].end 6043.15409375
transcript.pyannote[783].speaker SPEAKER_09
transcript.pyannote[783].start 6043.72784375
transcript.pyannote[783].end 6062.32409375
transcript.pyannote[784].speaker SPEAKER_09
transcript.pyannote[784].start 6062.67846875
transcript.pyannote[784].end 6063.79221875
transcript.pyannote[785].speaker SPEAKER_09
transcript.pyannote[785].start 6064.12971875
transcript.pyannote[785].end 6069.58034375
transcript.pyannote[786].speaker SPEAKER_09
transcript.pyannote[786].start 6069.64784375
transcript.pyannote[786].end 6072.17909375
transcript.pyannote[787].speaker SPEAKER_09
transcript.pyannote[787].start 6072.31409375
transcript.pyannote[787].end 6093.27284375
transcript.pyannote[788].speaker SPEAKER_09
transcript.pyannote[788].start 6093.59346875
transcript.pyannote[788].end 6099.56721875
transcript.pyannote[789].speaker SPEAKER_09
transcript.pyannote[789].start 6100.86659375
transcript.pyannote[789].end 6108.89909375
transcript.pyannote[790].speaker SPEAKER_09
transcript.pyannote[790].start 6110.13096875
transcript.pyannote[790].end 6110.87346875
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 6110.87346875
transcript.pyannote[791].end 6110.89034375
transcript.pyannote[792].speaker SPEAKER_09
transcript.pyannote[792].start 6110.89034375
transcript.pyannote[792].end 6113.06721875
transcript.pyannote[793].speaker SPEAKER_10
transcript.pyannote[793].start 6111.81846875
transcript.pyannote[793].end 6115.31159375
transcript.pyannote[794].speaker SPEAKER_09
transcript.pyannote[794].start 6114.14721875
transcript.pyannote[794].end 6114.46784375
transcript.pyannote[795].speaker SPEAKER_09
transcript.pyannote[795].start 6114.90659375
transcript.pyannote[795].end 6115.27784375
transcript.pyannote[796].speaker SPEAKER_09
transcript.pyannote[796].start 6115.31159375
transcript.pyannote[796].end 6122.07846875
transcript.pyannote[797].speaker SPEAKER_10
transcript.pyannote[797].start 6115.69971875
transcript.pyannote[797].end 6115.71659375
transcript.pyannote[798].speaker SPEAKER_09
transcript.pyannote[798].start 6123.19221875
transcript.pyannote[798].end 6123.83346875
transcript.pyannote[799].speaker SPEAKER_10
transcript.pyannote[799].start 6124.99784375
transcript.pyannote[799].end 6130.22909375
transcript.pyannote[800].speaker SPEAKER_09
transcript.pyannote[800].start 6128.57534375
transcript.pyannote[800].end 6141.16409375
transcript.pyannote[801].speaker SPEAKER_10
transcript.pyannote[801].start 6130.29659375
transcript.pyannote[801].end 6131.34284375
transcript.pyannote[802].speaker SPEAKER_10
transcript.pyannote[802].start 6140.30346875
transcript.pyannote[802].end 6145.53471875
transcript.pyannote[803].speaker SPEAKER_09
transcript.pyannote[803].start 6144.01596875
transcript.pyannote[803].end 6156.85784375
transcript.pyannote[804].speaker SPEAKER_12
transcript.pyannote[804].start 6157.92096875
transcript.pyannote[804].end 6158.46096875
transcript.pyannote[805].speaker SPEAKER_09
transcript.pyannote[805].start 6158.44409375
transcript.pyannote[805].end 6158.91659375
transcript.pyannote[806].speaker SPEAKER_10
transcript.pyannote[806].start 6158.46096875
transcript.pyannote[806].end 6159.27096875
transcript.pyannote[807].speaker SPEAKER_12
transcript.pyannote[807].start 6158.91659375
transcript.pyannote[807].end 6158.96721875
transcript.pyannote[808].speaker SPEAKER_09
transcript.pyannote[808].start 6158.96721875
transcript.pyannote[808].end 6158.98409375
transcript.pyannote[809].speaker SPEAKER_12
transcript.pyannote[809].start 6158.98409375
transcript.pyannote[809].end 6159.33846875
transcript.pyannote[810].speaker SPEAKER_10
transcript.pyannote[810].start 6159.55784375
transcript.pyannote[810].end 6160.85721875
transcript.pyannote[811].speaker SPEAKER_12
transcript.pyannote[811].start 6160.99221875
transcript.pyannote[811].end 6161.78534375
transcript.pyannote[812].speaker SPEAKER_09
transcript.pyannote[812].start 6166.54409375
transcript.pyannote[812].end 6167.53971875
transcript.pyannote[813].speaker SPEAKER_09
transcript.pyannote[813].start 6167.74221875
transcript.pyannote[813].end 6186.49034375
transcript.pyannote[814].speaker SPEAKER_06
transcript.pyannote[814].start 6171.13409375
transcript.pyannote[814].end 6173.86784375
transcript.pyannote[815].speaker SPEAKER_09
transcript.pyannote[815].start 6186.77721875
transcript.pyannote[815].end 6188.21159375
transcript.pyannote[816].speaker SPEAKER_09
transcript.pyannote[816].start 6188.59971875
transcript.pyannote[816].end 6190.35471875
transcript.pyannote[817].speaker SPEAKER_09
transcript.pyannote[817].start 6190.92846875
transcript.pyannote[817].end 6192.80159375
transcript.pyannote[818].speaker SPEAKER_09
transcript.pyannote[818].start 6193.15596875
transcript.pyannote[818].end 6195.16409375
transcript.pyannote[819].speaker SPEAKER_09
transcript.pyannote[819].start 6195.36659375
transcript.pyannote[819].end 6196.48034375
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 6196.61534375
transcript.pyannote[820].end 6199.93971875
transcript.pyannote[821].speaker SPEAKER_06
transcript.pyannote[821].start 6200.53034375
transcript.pyannote[821].end 6200.83409375
transcript.pyannote[822].speaker SPEAKER_09
transcript.pyannote[822].start 6200.83409375
transcript.pyannote[822].end 6202.58909375
transcript.pyannote[823].speaker SPEAKER_06
transcript.pyannote[823].start 6200.85096875
transcript.pyannote[823].end 6200.86784375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 6202.96034375
transcript.pyannote[824].end 6205.32284375
transcript.pyannote[825].speaker SPEAKER_09
transcript.pyannote[825].start 6205.99784375
transcript.pyannote[825].end 6206.62221875
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 6207.68534375
transcript.pyannote[826].end 6211.66784375
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 6211.90409375
transcript.pyannote[827].end 6220.49346875
transcript.pyannote[828].speaker SPEAKER_09
transcript.pyannote[828].start 6221.08409375
transcript.pyannote[828].end 6225.04971875
transcript.pyannote[829].speaker SPEAKER_00
transcript.pyannote[829].start 6221.16846875
transcript.pyannote[829].end 6221.18534375
transcript.pyannote[830].speaker SPEAKER_06
transcript.pyannote[830].start 6221.18534375
transcript.pyannote[830].end 6221.55659375
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 6225.55596875
transcript.pyannote[831].end 6228.67784375
transcript.pyannote[832].speaker SPEAKER_00
transcript.pyannote[832].start 6226.60221875
transcript.pyannote[832].end 6228.12096875
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 6228.94784375
transcript.pyannote[833].end 6236.03534375
transcript.pyannote[834].speaker SPEAKER_00
transcript.pyannote[834].start 6228.99846875
transcript.pyannote[834].end 6229.65659375
transcript.pyannote[835].speaker SPEAKER_08
transcript.pyannote[835].start 6236.03534375
transcript.pyannote[835].end 6243.07221875
transcript.pyannote[836].speaker SPEAKER_09
transcript.pyannote[836].start 6240.35534375
transcript.pyannote[836].end 6241.11471875
transcript.pyannote[837].speaker SPEAKER_09
transcript.pyannote[837].start 6241.95846875
transcript.pyannote[837].end 6247.32471875
transcript.pyannote[838].speaker SPEAKER_09
transcript.pyannote[838].start 6247.89846875
transcript.pyannote[838].end 6256.96034375
transcript.pyannote[839].speaker SPEAKER_09
transcript.pyannote[839].start 6257.53409375
transcript.pyannote[839].end 6270.27471875
transcript.pyannote[840].speaker SPEAKER_00
transcript.pyannote[840].start 6261.51659375
transcript.pyannote[840].end 6262.07346875
transcript.pyannote[841].speaker SPEAKER_09
transcript.pyannote[841].start 6270.73034375
transcript.pyannote[841].end 6271.01721875
transcript.pyannote[842].speaker SPEAKER_09
transcript.pyannote[842].start 6271.15221875
transcript.pyannote[842].end 6275.67471875
transcript.pyannote[843].speaker SPEAKER_09
transcript.pyannote[843].start 6275.96159375
transcript.pyannote[843].end 6279.23534375
transcript.pyannote[844].speaker SPEAKER_09
transcript.pyannote[844].start 6279.58971875
transcript.pyannote[844].end 6280.19721875
transcript.pyannote[845].speaker SPEAKER_09
transcript.pyannote[845].start 6280.55159375
transcript.pyannote[845].end 6283.18409375
transcript.pyannote[846].speaker SPEAKER_09
transcript.pyannote[846].start 6283.47096875
transcript.pyannote[846].end 6286.00221875
transcript.pyannote[847].speaker SPEAKER_09
transcript.pyannote[847].start 6286.40721875
transcript.pyannote[847].end 6289.03971875
transcript.pyannote[848].speaker SPEAKER_09
transcript.pyannote[848].start 6289.46159375
transcript.pyannote[848].end 6289.79909375
transcript.pyannote[849].speaker SPEAKER_09
transcript.pyannote[849].start 6290.15346875
transcript.pyannote[849].end 6318.50346875
transcript.pyannote[850].speaker SPEAKER_06
transcript.pyannote[850].start 6295.67159375
transcript.pyannote[850].end 6296.16096875
transcript.pyannote[851].speaker SPEAKER_06
transcript.pyannote[851].start 6298.86096875
transcript.pyannote[851].end 6300.05909375
transcript.pyannote[852].speaker SPEAKER_03
transcript.pyannote[852].start 6309.55971875
transcript.pyannote[852].end 6309.96471875
transcript.pyannote[853].speaker SPEAKER_06
transcript.pyannote[853].start 6309.96471875
transcript.pyannote[853].end 6311.68596875
transcript.pyannote[854].speaker SPEAKER_09
transcript.pyannote[854].start 6319.00971875
transcript.pyannote[854].end 6321.86159375
transcript.pyannote[855].speaker SPEAKER_09
transcript.pyannote[855].start 6322.82346875
transcript.pyannote[855].end 6326.53596875
transcript.pyannote[856].speaker SPEAKER_00
transcript.pyannote[856].start 6324.59534375
transcript.pyannote[856].end 6324.64596875
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 6324.64596875
transcript.pyannote[857].end 6325.84409375
transcript.pyannote[858].speaker SPEAKER_09
transcript.pyannote[858].start 6327.49784375
transcript.pyannote[858].end 6328.72971875
transcript.pyannote[859].speaker SPEAKER_00
transcript.pyannote[859].start 6327.54846875
transcript.pyannote[859].end 6328.07159375
transcript.pyannote[860].speaker SPEAKER_09
transcript.pyannote[860].start 6329.45534375
transcript.pyannote[860].end 6350.66721875
transcript.pyannote[861].speaker SPEAKER_06
transcript.pyannote[861].start 6336.37409375
transcript.pyannote[861].end 6337.92659375
transcript.pyannote[862].speaker SPEAKER_09
transcript.pyannote[862].start 6351.15659375
transcript.pyannote[862].end 6353.11409375
transcript.pyannote[863].speaker SPEAKER_09
transcript.pyannote[863].start 6353.63721875
transcript.pyannote[863].end 6357.19784375
transcript.pyannote[864].speaker SPEAKER_09
transcript.pyannote[864].start 6357.56909375
transcript.pyannote[864].end 6357.61971875
transcript.pyannote[865].speaker SPEAKER_06
transcript.pyannote[865].start 6357.61971875
transcript.pyannote[865].end 6358.83471875
transcript.pyannote[866].speaker SPEAKER_09
transcript.pyannote[866].start 6357.65346875
transcript.pyannote[866].end 6358.91909375
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 6359.32409375
transcript.pyannote[867].end 6360.87659375
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 6361.97346875
transcript.pyannote[868].end 6363.07034375
transcript.pyannote[869].speaker SPEAKER_09
transcript.pyannote[869].start 6363.57659375
transcript.pyannote[869].end 6364.43721875
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 6365.56784375
transcript.pyannote[870].end 6368.47034375
transcript.pyannote[871].speaker SPEAKER_09
transcript.pyannote[871].start 6370.73159375
transcript.pyannote[871].end 6374.76471875
transcript.pyannote[872].speaker SPEAKER_09
transcript.pyannote[872].start 6375.47346875
transcript.pyannote[872].end 6376.03034375
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 6376.38471875
transcript.pyannote[873].end 6378.25784375
transcript.pyannote[874].speaker SPEAKER_09
transcript.pyannote[874].start 6379.28721875
transcript.pyannote[874].end 6393.76596875
transcript.pyannote[875].speaker SPEAKER_06
transcript.pyannote[875].start 6382.05471875
transcript.pyannote[875].end 6382.54409375
transcript.pyannote[876].speaker SPEAKER_00
transcript.pyannote[876].start 6387.33659375
transcript.pyannote[876].end 6388.02846875
transcript.pyannote[877].speaker SPEAKER_00
transcript.pyannote[877].start 6388.07909375
transcript.pyannote[877].end 6388.88909375
transcript.pyannote[878].speaker SPEAKER_06
transcript.pyannote[878].start 6392.70284375
transcript.pyannote[878].end 6393.73221875
transcript.pyannote[879].speaker SPEAKER_12
transcript.pyannote[879].start 6396.11159375
transcript.pyannote[879].end 6397.42784375
transcript.pyannote[880].speaker SPEAKER_12
transcript.pyannote[880].start 6400.92096875
transcript.pyannote[880].end 6403.26659375
transcript.pyannote[881].speaker SPEAKER_01
transcript.pyannote[881].start 6414.55596875
transcript.pyannote[881].end 6416.29409375
transcript.pyannote[882].speaker SPEAKER_01
transcript.pyannote[882].start 6416.69909375
transcript.pyannote[882].end 6418.62284375
transcript.pyannote[883].speaker SPEAKER_12
transcript.pyannote[883].start 6418.87596875
transcript.pyannote[883].end 6419.55096875
transcript.pyannote[884].speaker SPEAKER_01
transcript.pyannote[884].start 6425.47409375
transcript.pyannote[884].end 6425.99721875
transcript.pyannote[885].speaker SPEAKER_01
transcript.pyannote[885].start 6426.63846875
transcript.pyannote[885].end 6427.00971875
transcript.pyannote[886].speaker SPEAKER_01
transcript.pyannote[886].start 6428.00534375
transcript.pyannote[886].end 6429.77721875
transcript.pyannote[887].speaker SPEAKER_01
transcript.pyannote[887].start 6429.91221875
transcript.pyannote[887].end 6431.98784375
transcript.pyannote[888].speaker SPEAKER_01
transcript.pyannote[888].start 6432.42659375
transcript.pyannote[888].end 6435.53159375
transcript.pyannote[889].speaker SPEAKER_01
transcript.pyannote[889].start 6436.05471875
transcript.pyannote[889].end 6439.12596875
transcript.pyannote[890].speaker SPEAKER_01
transcript.pyannote[890].start 6439.37909375
transcript.pyannote[890].end 6440.86409375
transcript.pyannote[891].speaker SPEAKER_01
transcript.pyannote[891].start 6442.06221875
transcript.pyannote[891].end 6444.89721875
transcript.pyannote[892].speaker SPEAKER_01
transcript.pyannote[892].start 6446.39909375
transcript.pyannote[892].end 6447.10784375
transcript.pyannote[893].speaker SPEAKER_01
transcript.pyannote[893].start 6447.29346875
transcript.pyannote[893].end 6449.03159375
transcript.pyannote[894].speaker SPEAKER_01
transcript.pyannote[894].start 6449.36909375
transcript.pyannote[894].end 6451.25909375
transcript.pyannote[895].speaker SPEAKER_01
transcript.pyannote[895].start 6451.68096875
transcript.pyannote[895].end 6458.27909375
transcript.pyannote[896].speaker SPEAKER_01
transcript.pyannote[896].start 6458.76846875
transcript.pyannote[896].end 6461.45159375
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 6460.77659375
transcript.pyannote[897].end 6460.92846875
transcript.pyannote[898].speaker SPEAKER_01
transcript.pyannote[898].start 6462.12659375
transcript.pyannote[898].end 6463.30784375
transcript.pyannote[899].speaker SPEAKER_01
transcript.pyannote[899].start 6463.86471875
transcript.pyannote[899].end 6465.61971875
transcript.pyannote[900].speaker SPEAKER_01
transcript.pyannote[900].start 6466.31159375
transcript.pyannote[900].end 6470.04096875
transcript.pyannote[901].speaker SPEAKER_01
transcript.pyannote[901].start 6471.25596875
transcript.pyannote[901].end 6475.93034375
transcript.pyannote[902].speaker SPEAKER_01
transcript.pyannote[902].start 6476.31846875
transcript.pyannote[902].end 6477.73596875
transcript.pyannote[903].speaker SPEAKER_01
transcript.pyannote[903].start 6478.78221875
transcript.pyannote[903].end 6481.88721875
transcript.pyannote[904].speaker SPEAKER_01
transcript.pyannote[904].start 6483.05159375
transcript.pyannote[904].end 6486.57846875
transcript.pyannote[905].speaker SPEAKER_01
transcript.pyannote[905].start 6486.94971875
transcript.pyannote[905].end 6487.86096875
transcript.pyannote[906].speaker SPEAKER_01
transcript.pyannote[906].start 6488.89034375
transcript.pyannote[906].end 6490.17284375
transcript.pyannote[907].speaker SPEAKER_01
transcript.pyannote[907].start 6490.91534375
transcript.pyannote[907].end 6492.45096875
transcript.pyannote[908].speaker SPEAKER_01
transcript.pyannote[908].start 6493.76721875
transcript.pyannote[908].end 6494.15534375
transcript.pyannote[909].speaker SPEAKER_01
transcript.pyannote[909].start 6494.74596875
transcript.pyannote[909].end 6495.97784375
transcript.pyannote[910].speaker SPEAKER_01
transcript.pyannote[910].start 6496.41659375
transcript.pyannote[910].end 6498.12096875
transcript.pyannote[911].speaker SPEAKER_01
transcript.pyannote[911].start 6498.55971875
transcript.pyannote[911].end 6501.39471875
transcript.pyannote[912].speaker SPEAKER_01
transcript.pyannote[912].start 6501.64784375
transcript.pyannote[912].end 6502.79534375
transcript.pyannote[913].speaker SPEAKER_01
transcript.pyannote[913].start 6503.67284375
transcript.pyannote[913].end 6505.66409375
transcript.pyannote[914].speaker SPEAKER_01
transcript.pyannote[914].start 6507.09846875
transcript.pyannote[914].end 6509.69721875
transcript.pyannote[915].speaker SPEAKER_01
transcript.pyannote[915].start 6510.03471875
transcript.pyannote[915].end 6511.03034375
transcript.pyannote[916].speaker SPEAKER_01
transcript.pyannote[916].start 6511.24971875
transcript.pyannote[916].end 6512.53221875
transcript.pyannote[917].speaker SPEAKER_01
transcript.pyannote[917].start 6512.83596875
transcript.pyannote[917].end 6515.23221875
transcript.pyannote[918].speaker SPEAKER_10
transcript.pyannote[918].start 6515.95784375
transcript.pyannote[918].end 6557.90909375
transcript.pyannote[919].speaker SPEAKER_01
transcript.pyannote[919].start 6530.60534375
transcript.pyannote[919].end 6532.51221875
transcript.pyannote[920].speaker SPEAKER_01
transcript.pyannote[920].start 6557.90909375
transcript.pyannote[920].end 6558.12846875
transcript.pyannote[921].speaker SPEAKER_10
transcript.pyannote[921].start 6558.12846875
transcript.pyannote[921].end 6558.17909375
transcript.pyannote[922].speaker SPEAKER_01
transcript.pyannote[922].start 6558.17909375
transcript.pyannote[922].end 6558.31409375
transcript.pyannote[923].speaker SPEAKER_10
transcript.pyannote[923].start 6558.31409375
transcript.pyannote[923].end 6558.53346875
transcript.pyannote[924].speaker SPEAKER_01
transcript.pyannote[924].start 6558.53346875
transcript.pyannote[924].end 6558.66846875
transcript.pyannote[925].speaker SPEAKER_10
transcript.pyannote[925].start 6558.66846875
transcript.pyannote[925].end 6558.93846875
transcript.pyannote[926].speaker SPEAKER_01
transcript.pyannote[926].start 6558.93846875
transcript.pyannote[926].end 6558.97221875
transcript.pyannote[927].speaker SPEAKER_10
transcript.pyannote[927].start 6558.97221875
transcript.pyannote[927].end 6562.43159375
transcript.pyannote[928].speaker SPEAKER_10
transcript.pyannote[928].start 6563.00534375
transcript.pyannote[928].end 6564.03471875
transcript.pyannote[929].speaker SPEAKER_01
transcript.pyannote[929].start 6564.03471875
transcript.pyannote[929].end 6564.96284375
transcript.pyannote[930].speaker SPEAKER_10
transcript.pyannote[930].start 6564.96284375
transcript.pyannote[930].end 6565.03034375
transcript.pyannote[931].speaker SPEAKER_01
transcript.pyannote[931].start 6565.03034375
transcript.pyannote[931].end 6565.19909375
transcript.pyannote[932].speaker SPEAKER_10
transcript.pyannote[932].start 6565.19909375
transcript.pyannote[932].end 6565.97534375
transcript.pyannote[933].speaker SPEAKER_01
transcript.pyannote[933].start 6565.97534375
transcript.pyannote[933].end 6568.10159375
transcript.pyannote[934].speaker SPEAKER_01
transcript.pyannote[934].start 6568.65846875
transcript.pyannote[934].end 6569.18159375
transcript.pyannote[935].speaker SPEAKER_01
transcript.pyannote[935].start 6569.83971875
transcript.pyannote[935].end 6571.93221875
transcript.pyannote[936].speaker SPEAKER_01
transcript.pyannote[936].start 6572.10096875
transcript.pyannote[936].end 6573.09659375
transcript.pyannote[937].speaker SPEAKER_01
transcript.pyannote[937].start 6573.29909375
transcript.pyannote[937].end 6573.60284375
transcript.pyannote[938].speaker SPEAKER_01
transcript.pyannote[938].start 6574.32846875
transcript.pyannote[938].end 6575.84721875
transcript.pyannote[939].speaker SPEAKER_10
transcript.pyannote[939].start 6576.30284375
transcript.pyannote[939].end 6587.03534375
transcript.pyannote[940].speaker SPEAKER_01
transcript.pyannote[940].start 6583.66034375
transcript.pyannote[940].end 6586.73159375
transcript.pyannote[941].speaker SPEAKER_01
transcript.pyannote[941].start 6587.03534375
transcript.pyannote[941].end 6591.00096875
transcript.pyannote[942].speaker SPEAKER_10
transcript.pyannote[942].start 6587.10284375
transcript.pyannote[942].end 6587.76096875
transcript.pyannote[943].speaker SPEAKER_10
transcript.pyannote[943].start 6591.00096875
transcript.pyannote[943].end 6594.83159375
transcript.pyannote[944].speaker SPEAKER_01
transcript.pyannote[944].start 6592.06409375
transcript.pyannote[944].end 6592.94159375
transcript.pyannote[945].speaker SPEAKER_01
transcript.pyannote[945].start 6593.48159375
transcript.pyannote[945].end 6595.81034375
transcript.pyannote[946].speaker SPEAKER_01
transcript.pyannote[946].start 6596.82284375
transcript.pyannote[946].end 6599.01659375
transcript.pyannote[947].speaker SPEAKER_01
transcript.pyannote[947].start 6599.35409375
transcript.pyannote[947].end 6603.67409375
transcript.pyannote[948].speaker SPEAKER_01
transcript.pyannote[948].start 6604.21409375
transcript.pyannote[948].end 6605.73284375
transcript.pyannote[949].speaker SPEAKER_01
transcript.pyannote[949].start 6606.32346875
transcript.pyannote[949].end 6611.43659375
transcript.pyannote[950].speaker SPEAKER_10
transcript.pyannote[950].start 6611.50409375
transcript.pyannote[950].end 6612.46596875
transcript.pyannote[951].speaker SPEAKER_01
transcript.pyannote[951].start 6612.60096875
transcript.pyannote[951].end 6618.47346875
transcript.pyannote[952].speaker SPEAKER_01
transcript.pyannote[952].start 6618.65909375
transcript.pyannote[952].end 6620.97096875
transcript.pyannote[953].speaker SPEAKER_10
transcript.pyannote[953].start 6620.97096875
transcript.pyannote[953].end 6623.70471875
transcript.pyannote[954].speaker SPEAKER_10
transcript.pyannote[954].start 6623.97471875
transcript.pyannote[954].end 6636.56346875
transcript.pyannote[955].speaker SPEAKER_01
transcript.pyannote[955].start 6631.82159375
transcript.pyannote[955].end 6634.26846875
transcript.pyannote[956].speaker SPEAKER_01
transcript.pyannote[956].start 6634.92659375
transcript.pyannote[956].end 6636.52971875
transcript.pyannote[957].speaker SPEAKER_01
transcript.pyannote[957].start 6636.56346875
transcript.pyannote[957].end 6636.93471875
transcript.pyannote[958].speaker SPEAKER_10
transcript.pyannote[958].start 6636.93471875
transcript.pyannote[958].end 6636.95159375
transcript.pyannote[959].speaker SPEAKER_01
transcript.pyannote[959].start 6636.95159375
transcript.pyannote[959].end 6636.96846875
transcript.pyannote[960].speaker SPEAKER_10
transcript.pyannote[960].start 6636.96846875
transcript.pyannote[960].end 6637.30596875
transcript.pyannote[961].speaker SPEAKER_10
transcript.pyannote[961].start 6637.66034375
transcript.pyannote[961].end 6652.47659375
transcript.pyannote[962].speaker SPEAKER_01
transcript.pyannote[962].start 6638.20034375
transcript.pyannote[962].end 6639.09471875
transcript.pyannote[963].speaker SPEAKER_01
transcript.pyannote[963].start 6650.16471875
transcript.pyannote[963].end 6654.16409375
transcript.pyannote[964].speaker SPEAKER_10
transcript.pyannote[964].start 6652.79721875
transcript.pyannote[964].end 6683.76284375
transcript.pyannote[965].speaker SPEAKER_01
transcript.pyannote[965].start 6661.06596875
transcript.pyannote[965].end 6661.55534375
transcript.pyannote[966].speaker SPEAKER_00
transcript.pyannote[966].start 6661.55534375
transcript.pyannote[966].end 6661.85909375
transcript.pyannote[967].speaker SPEAKER_00
transcript.pyannote[967].start 6663.14159375
transcript.pyannote[967].end 6663.31034375
transcript.pyannote[968].speaker SPEAKER_00
transcript.pyannote[968].start 6666.70221875
transcript.pyannote[968].end 6666.73596875
transcript.pyannote[969].speaker SPEAKER_01
transcript.pyannote[969].start 6666.73596875
transcript.pyannote[969].end 6667.20846875
transcript.pyannote[970].speaker SPEAKER_00
transcript.pyannote[970].start 6667.20846875
transcript.pyannote[970].end 6667.32659375
transcript.pyannote[971].speaker SPEAKER_01
transcript.pyannote[971].start 6674.46471875
transcript.pyannote[971].end 6675.34221875
transcript.pyannote[972].speaker SPEAKER_01
transcript.pyannote[972].start 6677.35034375
transcript.pyannote[972].end 6678.90284375
transcript.pyannote[973].speaker SPEAKER_00
transcript.pyannote[973].start 6680.21909375
transcript.pyannote[973].end 6680.37096875
transcript.pyannote[974].speaker SPEAKER_01
transcript.pyannote[974].start 6680.37096875
transcript.pyannote[974].end 6681.19784375
transcript.pyannote[975].speaker SPEAKER_00
transcript.pyannote[975].start 6681.19784375
transcript.pyannote[975].end 6681.23159375
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 6683.94846875
transcript.pyannote[976].end 6701.26221875
transcript.pyannote[977].speaker SPEAKER_01
transcript.pyannote[977].start 6684.10034375
transcript.pyannote[977].end 6685.36596875
transcript.pyannote[978].speaker SPEAKER_01
transcript.pyannote[978].start 6701.26221875
transcript.pyannote[978].end 6703.42221875
transcript.pyannote[979].speaker SPEAKER_10
transcript.pyannote[979].start 6701.39721875
transcript.pyannote[979].end 6702.03846875
transcript.pyannote[980].speaker SPEAKER_01
transcript.pyannote[980].start 6704.26596875
transcript.pyannote[980].end 6707.23596875
transcript.pyannote[981].speaker SPEAKER_01
transcript.pyannote[981].start 6707.45534375
transcript.pyannote[981].end 6710.77971875
transcript.pyannote[982].speaker SPEAKER_06
transcript.pyannote[982].start 6710.77971875
transcript.pyannote[982].end 6711.15096875
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 6711.15096875
transcript.pyannote[983].end 6712.19721875
transcript.pyannote[984].speaker SPEAKER_01
transcript.pyannote[984].start 6711.15096875
transcript.pyannote[984].end 6716.68596875
transcript.pyannote[985].speaker SPEAKER_10
transcript.pyannote[985].start 6716.39909375
transcript.pyannote[985].end 6730.21971875
transcript.pyannote[986].speaker SPEAKER_01
transcript.pyannote[986].start 6718.32284375
transcript.pyannote[986].end 6718.72784375
transcript.pyannote[987].speaker SPEAKER_01
transcript.pyannote[987].start 6722.60909375
transcript.pyannote[987].end 6723.40221875
transcript.pyannote[988].speaker SPEAKER_01
transcript.pyannote[988].start 6723.45284375
transcript.pyannote[988].end 6723.48659375
transcript.pyannote[989].speaker SPEAKER_01
transcript.pyannote[989].start 6723.50346875
transcript.pyannote[989].end 6723.77346875
transcript.pyannote[990].speaker SPEAKER_01
transcript.pyannote[990].start 6730.21971875
transcript.pyannote[990].end 6735.14721875
transcript.pyannote[991].speaker SPEAKER_10
transcript.pyannote[991].start 6730.23659375
transcript.pyannote[991].end 6730.54034375
transcript.pyannote[992].speaker SPEAKER_01
transcript.pyannote[992].start 6735.56909375
transcript.pyannote[992].end 6736.02471875
transcript.pyannote[993].speaker SPEAKER_01
transcript.pyannote[993].start 6736.32846875
transcript.pyannote[993].end 6737.54346875
transcript.pyannote[994].speaker SPEAKER_01
transcript.pyannote[994].start 6738.37034375
transcript.pyannote[994].end 6739.41659375
transcript.pyannote[995].speaker SPEAKER_01
transcript.pyannote[995].start 6739.93971875
transcript.pyannote[995].end 6740.29409375
transcript.pyannote[996].speaker SPEAKER_10
transcript.pyannote[996].start 6740.29409375
transcript.pyannote[996].end 6743.26409375
transcript.pyannote[997].speaker SPEAKER_01
transcript.pyannote[997].start 6741.74534375
transcript.pyannote[997].end 6742.08284375
transcript.pyannote[998].speaker SPEAKER_01
transcript.pyannote[998].start 6743.21346875
transcript.pyannote[998].end 6746.65596875
transcript.pyannote[999].speaker SPEAKER_01
transcript.pyannote[999].start 6747.12846875
transcript.pyannote[999].end 6748.79909375
transcript.pyannote[1000].speaker SPEAKER_01
transcript.pyannote[1000].start 6749.20409375
transcript.pyannote[1000].end 6752.30909375
transcript.pyannote[1001].speaker SPEAKER_01
transcript.pyannote[1001].start 6752.84909375
transcript.pyannote[1001].end 6753.62534375
transcript.pyannote[1002].speaker SPEAKER_01
transcript.pyannote[1002].start 6754.35096875
transcript.pyannote[1002].end 6754.92471875
transcript.pyannote[1003].speaker SPEAKER_01
transcript.pyannote[1003].start 6755.11034375
transcript.pyannote[1003].end 6755.86971875
transcript.pyannote[1004].speaker SPEAKER_01
transcript.pyannote[1004].start 6756.44346875
transcript.pyannote[1004].end 6757.21971875
transcript.pyannote[1005].speaker SPEAKER_01
transcript.pyannote[1005].start 6758.02971875
transcript.pyannote[1005].end 6762.38346875
transcript.pyannote[1006].speaker SPEAKER_01
transcript.pyannote[1006].start 6763.21034375
transcript.pyannote[1006].end 6768.08721875
transcript.pyannote[1007].speaker SPEAKER_01
transcript.pyannote[1007].start 6768.91409375
transcript.pyannote[1007].end 6769.90971875
transcript.pyannote[1008].speaker SPEAKER_01
transcript.pyannote[1008].start 6770.07846875
transcript.pyannote[1008].end 6777.97596875
transcript.pyannote[1009].speaker SPEAKER_10
transcript.pyannote[1009].start 6774.78659375
transcript.pyannote[1009].end 6780.65909375
transcript.pyannote[1010].speaker SPEAKER_01
transcript.pyannote[1010].start 6779.96721875
transcript.pyannote[1010].end 6780.77721875
transcript.pyannote[1011].speaker SPEAKER_10
transcript.pyannote[1011].start 6780.77721875
transcript.pyannote[1011].end 6780.92909375
transcript.pyannote[1012].speaker SPEAKER_01
transcript.pyannote[1012].start 6781.68846875
transcript.pyannote[1012].end 6781.90784375
transcript.pyannote[1013].speaker SPEAKER_10
transcript.pyannote[1013].start 6781.90784375
transcript.pyannote[1013].end 6782.51534375
transcript.pyannote[1014].speaker SPEAKER_10
transcript.pyannote[1014].start 6782.93721875
transcript.pyannote[1014].end 6786.48096875
transcript.pyannote[1015].speaker SPEAKER_01
transcript.pyannote[1015].start 6787.56096875
transcript.pyannote[1015].end 6787.57784375
transcript.pyannote[1016].speaker SPEAKER_10
transcript.pyannote[1016].start 6787.57784375
transcript.pyannote[1016].end 6788.32034375
transcript.pyannote[1017].speaker SPEAKER_10
transcript.pyannote[1017].start 6789.07971875
transcript.pyannote[1017].end 6792.52221875
transcript.pyannote[1018].speaker SPEAKER_01
transcript.pyannote[1018].start 6791.18909375
transcript.pyannote[1018].end 6791.50971875
transcript.pyannote[1019].speaker SPEAKER_01
transcript.pyannote[1019].start 6792.52221875
transcript.pyannote[1019].end 6794.32784375
transcript.pyannote[1020].speaker SPEAKER_01
transcript.pyannote[1020].start 6794.44596875
transcript.pyannote[1020].end 6795.77909375
transcript.pyannote[1021].speaker SPEAKER_01
transcript.pyannote[1021].start 6796.53846875
transcript.pyannote[1021].end 6797.04471875
transcript.pyannote[1022].speaker SPEAKER_01
transcript.pyannote[1022].start 6797.07846875
transcript.pyannote[1022].end 6799.12034375
transcript.pyannote[1023].speaker SPEAKER_01
transcript.pyannote[1023].start 6800.67284375
transcript.pyannote[1023].end 6802.51221875
transcript.pyannote[1024].speaker SPEAKER_01
transcript.pyannote[1024].start 6802.86659375
transcript.pyannote[1024].end 6804.85784375
transcript.pyannote[1025].speaker SPEAKER_01
transcript.pyannote[1025].start 6805.17846875
transcript.pyannote[1025].end 6806.00534375
transcript.pyannote[1026].speaker SPEAKER_01
transcript.pyannote[1026].start 6806.30909375
transcript.pyannote[1026].end 6807.70971875
transcript.pyannote[1027].speaker SPEAKER_01
transcript.pyannote[1027].start 6808.30034375
transcript.pyannote[1027].end 6810.51096875
transcript.pyannote[1028].speaker SPEAKER_01
transcript.pyannote[1028].start 6812.06346875
transcript.pyannote[1028].end 6814.93221875
transcript.pyannote[1029].speaker SPEAKER_01
transcript.pyannote[1029].start 6815.67471875
transcript.pyannote[1029].end 6818.93159375
transcript.pyannote[1030].speaker SPEAKER_01
transcript.pyannote[1030].start 6819.74159375
transcript.pyannote[1030].end 6825.04034375
transcript.pyannote[1031].speaker SPEAKER_01
transcript.pyannote[1031].start 6825.20909375
transcript.pyannote[1031].end 6826.72784375
transcript.pyannote[1032].speaker SPEAKER_01
transcript.pyannote[1032].start 6829.09034375
transcript.pyannote[1032].end 6830.01846875
transcript.pyannote[1033].speaker SPEAKER_01
transcript.pyannote[1033].start 6830.20409375
transcript.pyannote[1033].end 6831.63846875
transcript.pyannote[1034].speaker SPEAKER_01
transcript.pyannote[1034].start 6832.36409375
transcript.pyannote[1034].end 6833.62971875
transcript.pyannote[1035].speaker SPEAKER_01
transcript.pyannote[1035].start 6833.84909375
transcript.pyannote[1035].end 6834.62534375
transcript.pyannote[1036].speaker SPEAKER_10
transcript.pyannote[1036].start 6836.93721875
transcript.pyannote[1036].end 6841.18971875
transcript.pyannote[1037].speaker SPEAKER_10
transcript.pyannote[1037].start 6842.67471875
transcript.pyannote[1037].end 6842.69159375
transcript.pyannote[1038].speaker SPEAKER_01
transcript.pyannote[1038].start 6842.69159375
transcript.pyannote[1038].end 6843.55221875
transcript.pyannote[1039].speaker SPEAKER_01
transcript.pyannote[1039].start 6845.50971875
transcript.pyannote[1039].end 6847.07909375
transcript.pyannote[1040].speaker SPEAKER_01
transcript.pyannote[1040].start 6848.59784375
transcript.pyannote[1040].end 6851.21346875
transcript.pyannote[1041].speaker SPEAKER_01
transcript.pyannote[1041].start 6852.07409375
transcript.pyannote[1041].end 6854.11596875
transcript.pyannote[1042].speaker SPEAKER_01
transcript.pyannote[1042].start 6854.52096875
transcript.pyannote[1042].end 6856.29284375
transcript.pyannote[1043].speaker SPEAKER_01
transcript.pyannote[1043].start 6857.06909375
transcript.pyannote[1043].end 6859.49909375
transcript.pyannote[1044].speaker SPEAKER_01
transcript.pyannote[1044].start 6860.47784375
transcript.pyannote[1044].end 6864.71346875
transcript.pyannote[1045].speaker SPEAKER_01
transcript.pyannote[1045].start 6866.53596875
transcript.pyannote[1045].end 6866.95784375
transcript.pyannote[1046].speaker SPEAKER_01
transcript.pyannote[1046].start 6867.04221875
transcript.pyannote[1046].end 6869.69159375
transcript.pyannote[1047].speaker SPEAKER_01
transcript.pyannote[1047].start 6870.29909375
transcript.pyannote[1047].end 6874.97346875
transcript.pyannote[1048].speaker SPEAKER_10
transcript.pyannote[1048].start 6874.97346875
transcript.pyannote[1048].end 6893.38409375
transcript.pyannote[1049].speaker SPEAKER_01
transcript.pyannote[1049].start 6893.23221875
transcript.pyannote[1049].end 6898.32846875
transcript.pyannote[1050].speaker SPEAKER_10
transcript.pyannote[1050].start 6893.41784375
transcript.pyannote[1050].end 6893.43471875
transcript.pyannote[1051].speaker SPEAKER_10
transcript.pyannote[1051].start 6898.37909375
transcript.pyannote[1051].end 6901.87221875
transcript.pyannote[1052].speaker SPEAKER_01
transcript.pyannote[1052].start 6902.83409375
transcript.pyannote[1052].end 6903.45846875
transcript.pyannote[1053].speaker SPEAKER_01
transcript.pyannote[1053].start 6903.81284375
transcript.pyannote[1053].end 6905.68596875
transcript.pyannote[1054].speaker SPEAKER_01
transcript.pyannote[1054].start 6906.04034375
transcript.pyannote[1054].end 6908.03159375
transcript.pyannote[1055].speaker SPEAKER_01
transcript.pyannote[1055].start 6908.87534375
transcript.pyannote[1055].end 6912.72284375
transcript.pyannote[1056].speaker SPEAKER_01
transcript.pyannote[1056].start 6912.82409375
transcript.pyannote[1056].end 6913.12784375
transcript.pyannote[1057].speaker SPEAKER_01
transcript.pyannote[1057].start 6914.25846875
transcript.pyannote[1057].end 6915.65909375
transcript.pyannote[1058].speaker SPEAKER_01
transcript.pyannote[1058].start 6915.76034375
transcript.pyannote[1058].end 6918.46034375
transcript.pyannote[1059].speaker SPEAKER_01
transcript.pyannote[1059].start 6919.18596875
transcript.pyannote[1059].end 6922.24034375
transcript.pyannote[1060].speaker SPEAKER_01
transcript.pyannote[1060].start 6922.86471875
transcript.pyannote[1060].end 6924.01221875
transcript.pyannote[1061].speaker SPEAKER_01
transcript.pyannote[1061].start 6924.53534375
transcript.pyannote[1061].end 6926.56034375
transcript.pyannote[1062].speaker SPEAKER_10
transcript.pyannote[1062].start 6926.88096875
transcript.pyannote[1062].end 6927.16784375
transcript.pyannote[1063].speaker SPEAKER_01
transcript.pyannote[1063].start 6927.16784375
transcript.pyannote[1063].end 6931.89284375
transcript.pyannote[1064].speaker SPEAKER_01
transcript.pyannote[1064].start 6931.92659375
transcript.pyannote[1064].end 6933.19221875
transcript.pyannote[1065].speaker SPEAKER_01
transcript.pyannote[1065].start 6934.00221875
transcript.pyannote[1065].end 6937.57971875
transcript.pyannote[1066].speaker SPEAKER_01
transcript.pyannote[1066].start 6937.90034375
transcript.pyannote[1066].end 6940.24596875
transcript.pyannote[1067].speaker SPEAKER_01
transcript.pyannote[1067].start 6940.49909375
transcript.pyannote[1067].end 6941.91659375
transcript.pyannote[1068].speaker SPEAKER_10
transcript.pyannote[1068].start 6940.65096875
transcript.pyannote[1068].end 6940.95471875
transcript.pyannote[1069].speaker SPEAKER_01
transcript.pyannote[1069].start 6943.58721875
transcript.pyannote[1069].end 6945.12284375
transcript.pyannote[1070].speaker SPEAKER_10
transcript.pyannote[1070].start 6945.27471875
transcript.pyannote[1070].end 6955.92284375
transcript.pyannote[1071].speaker SPEAKER_01
transcript.pyannote[1071].start 6954.30284375
transcript.pyannote[1071].end 6959.39909375
transcript.pyannote[1072].speaker SPEAKER_10
transcript.pyannote[1072].start 6957.35721875
transcript.pyannote[1072].end 6957.67784375
transcript.pyannote[1073].speaker SPEAKER_01
transcript.pyannote[1073].start 6959.77034375
transcript.pyannote[1073].end 6962.99346875
transcript.pyannote[1074].speaker SPEAKER_01
transcript.pyannote[1074].start 6963.60096875
transcript.pyannote[1074].end 6965.25471875
transcript.pyannote[1075].speaker SPEAKER_01
transcript.pyannote[1075].start 6965.40659375
transcript.pyannote[1075].end 6967.02659375
transcript.pyannote[1076].speaker SPEAKER_01
transcript.pyannote[1076].start 6967.07721875
transcript.pyannote[1076].end 6969.97971875
transcript.pyannote[1077].speaker SPEAKER_01
transcript.pyannote[1077].start 6971.70096875
transcript.pyannote[1077].end 6973.54034375
transcript.pyannote[1078].speaker SPEAKER_01
transcript.pyannote[1078].start 6974.53596875
transcript.pyannote[1078].end 6975.73409375
transcript.pyannote[1079].speaker SPEAKER_01
transcript.pyannote[1079].start 6976.40909375
transcript.pyannote[1079].end 6980.02034375
transcript.pyannote[1080].speaker SPEAKER_01
transcript.pyannote[1080].start 6980.44221875
transcript.pyannote[1080].end 6981.91034375
transcript.pyannote[1081].speaker SPEAKER_01
transcript.pyannote[1081].start 6982.46721875
transcript.pyannote[1081].end 6984.86346875
transcript.pyannote[1082].speaker SPEAKER_01
transcript.pyannote[1082].start 6985.03221875
transcript.pyannote[1082].end 6986.92221875
transcript.pyannote[1083].speaker SPEAKER_01
transcript.pyannote[1083].start 6987.12471875
transcript.pyannote[1083].end 6988.06971875
transcript.pyannote[1084].speaker SPEAKER_01
transcript.pyannote[1084].start 6988.50846875
transcript.pyannote[1084].end 6989.36909375
transcript.pyannote[1085].speaker SPEAKER_01
transcript.pyannote[1085].start 6989.43659375
transcript.pyannote[1085].end 6990.43221875
transcript.pyannote[1086].speaker SPEAKER_01
transcript.pyannote[1086].start 6991.03971875
transcript.pyannote[1086].end 6992.65971875
transcript.pyannote[1087].speaker SPEAKER_01
transcript.pyannote[1087].start 6993.09846875
transcript.pyannote[1087].end 6995.20784375
transcript.pyannote[1088].speaker SPEAKER_01
transcript.pyannote[1088].start 6996.91221875
transcript.pyannote[1088].end 6997.24971875
transcript.pyannote[1089].speaker SPEAKER_01
transcript.pyannote[1089].start 6997.65471875
transcript.pyannote[1089].end 6999.05534375
transcript.pyannote[1090].speaker SPEAKER_01
transcript.pyannote[1090].start 7000.13534375
transcript.pyannote[1090].end 7001.46846875
transcript.pyannote[1091].speaker SPEAKER_01
transcript.pyannote[1091].start 7001.78909375
transcript.pyannote[1091].end 7002.59909375
transcript.pyannote[1092].speaker SPEAKER_01
transcript.pyannote[1092].start 7003.27409375
transcript.pyannote[1092].end 7005.77159375
transcript.pyannote[1093].speaker SPEAKER_01
transcript.pyannote[1093].start 7006.37909375
transcript.pyannote[1093].end 7006.90221875
transcript.pyannote[1094].speaker SPEAKER_01
transcript.pyannote[1094].start 7007.76284375
transcript.pyannote[1094].end 7008.79221875
transcript.pyannote[1095].speaker SPEAKER_01
transcript.pyannote[1095].start 7009.21409375
transcript.pyannote[1095].end 7010.31096875
transcript.pyannote[1096].speaker SPEAKER_01
transcript.pyannote[1096].start 7011.50909375
transcript.pyannote[1096].end 7013.31471875
transcript.pyannote[1097].speaker SPEAKER_01
transcript.pyannote[1097].start 7014.90096875
transcript.pyannote[1097].end 7016.50409375
transcript.pyannote[1098].speaker SPEAKER_01
transcript.pyannote[1098].start 7017.66846875
transcript.pyannote[1098].end 7021.12784375
transcript.pyannote[1099].speaker SPEAKER_01
transcript.pyannote[1099].start 7021.78596875
transcript.pyannote[1099].end 7022.79846875
transcript.pyannote[1100].speaker SPEAKER_01
transcript.pyannote[1100].start 7024.14846875
transcript.pyannote[1100].end 7026.02159375
transcript.pyannote[1101].speaker SPEAKER_01
transcript.pyannote[1101].start 7026.51096875
transcript.pyannote[1101].end 7028.21534375
transcript.pyannote[1102].speaker SPEAKER_01
transcript.pyannote[1102].start 7028.56971875
transcript.pyannote[1102].end 7030.64534375
transcript.pyannote[1103].speaker SPEAKER_01
transcript.pyannote[1103].start 7030.67909375
transcript.pyannote[1103].end 7036.63596875
transcript.pyannote[1104].speaker SPEAKER_01
transcript.pyannote[1104].start 7037.34471875
transcript.pyannote[1104].end 7037.76659375
transcript.pyannote[1105].speaker SPEAKER_01
transcript.pyannote[1105].start 7038.20534375
transcript.pyannote[1105].end 7039.31909375
transcript.pyannote[1106].speaker SPEAKER_01
transcript.pyannote[1106].start 7039.40346875
transcript.pyannote[1106].end 7041.96846875
transcript.pyannote[1107].speaker SPEAKER_01
transcript.pyannote[1107].start 7042.23846875
transcript.pyannote[1107].end 7042.82909375
transcript.pyannote[1108].speaker SPEAKER_01
transcript.pyannote[1108].start 7044.02721875
transcript.pyannote[1108].end 7044.43221875
transcript.pyannote[1109].speaker SPEAKER_01
transcript.pyannote[1109].start 7044.66846875
transcript.pyannote[1109].end 7046.77784375
transcript.pyannote[1110].speaker SPEAKER_01
transcript.pyannote[1110].start 7046.91284375
transcript.pyannote[1110].end 7049.25846875
transcript.pyannote[1111].speaker SPEAKER_01
transcript.pyannote[1111].start 7049.83221875
transcript.pyannote[1111].end 7051.97534375
transcript.pyannote[1112].speaker SPEAKER_01
transcript.pyannote[1112].start 7052.70096875
transcript.pyannote[1112].end 7056.31221875
transcript.pyannote[1113].speaker SPEAKER_01
transcript.pyannote[1113].start 7058.32034375
transcript.pyannote[1113].end 7059.21471875
transcript.pyannote[1114].speaker SPEAKER_01
transcript.pyannote[1114].start 7060.29471875
transcript.pyannote[1114].end 7062.42096875
transcript.pyannote[1115].speaker SPEAKER_01
transcript.pyannote[1115].start 7063.01159375
transcript.pyannote[1115].end 7063.85534375
transcript.pyannote[1116].speaker SPEAKER_01
transcript.pyannote[1116].start 7064.12534375
transcript.pyannote[1116].end 7065.39096875
transcript.pyannote[1117].speaker SPEAKER_01
transcript.pyannote[1117].start 7065.91409375
transcript.pyannote[1117].end 7068.12471875
transcript.pyannote[1118].speaker SPEAKER_01
transcript.pyannote[1118].start 7068.83346875
transcript.pyannote[1118].end 7070.43659375
transcript.pyannote[1119].speaker SPEAKER_01
transcript.pyannote[1119].start 7070.79096875
transcript.pyannote[1119].end 7072.00596875
transcript.pyannote[1120].speaker SPEAKER_01
transcript.pyannote[1120].start 7072.37721875
transcript.pyannote[1120].end 7072.93409375
transcript.pyannote[1121].speaker SPEAKER_01
transcript.pyannote[1121].start 7073.52471875
transcript.pyannote[1121].end 7075.02659375
transcript.pyannote[1122].speaker SPEAKER_01
transcript.pyannote[1122].start 7075.34721875
transcript.pyannote[1122].end 7077.35534375
transcript.pyannote[1123].speaker SPEAKER_01
transcript.pyannote[1123].start 7077.65909375
transcript.pyannote[1123].end 7079.17784375
transcript.pyannote[1124].speaker SPEAKER_01
transcript.pyannote[1124].start 7079.22846875
transcript.pyannote[1124].end 7081.03409375
transcript.pyannote[1125].speaker SPEAKER_12
transcript.pyannote[1125].start 7083.31221875
transcript.pyannote[1125].end 7083.93659375
transcript.pyannote[1126].speaker SPEAKER_12
transcript.pyannote[1126].start 7089.42096875
transcript.pyannote[1126].end 7091.83409375
transcript.pyannote[1127].speaker SPEAKER_05
transcript.pyannote[1127].start 7100.27159375
transcript.pyannote[1127].end 7104.42284375
transcript.pyannote[1128].speaker SPEAKER_05
transcript.pyannote[1128].start 7104.77721875
transcript.pyannote[1128].end 7105.60409375
transcript.pyannote[1129].speaker SPEAKER_05
transcript.pyannote[1129].start 7111.52721875
transcript.pyannote[1129].end 7121.36534375
transcript.pyannote[1130].speaker SPEAKER_05
transcript.pyannote[1130].start 7121.80409375
transcript.pyannote[1130].end 7135.50659375
transcript.pyannote[1131].speaker SPEAKER_05
transcript.pyannote[1131].start 7135.97909375
transcript.pyannote[1131].end 7136.48534375
transcript.pyannote[1132].speaker SPEAKER_05
transcript.pyannote[1132].start 7137.17721875
transcript.pyannote[1132].end 7138.20659375
transcript.pyannote[1133].speaker SPEAKER_05
transcript.pyannote[1133].start 7138.39221875
transcript.pyannote[1133].end 7141.54784375
transcript.pyannote[1134].speaker SPEAKER_05
transcript.pyannote[1134].start 7142.03721875
transcript.pyannote[1134].end 7159.26659375
transcript.pyannote[1135].speaker SPEAKER_10
transcript.pyannote[1135].start 7158.70971875
transcript.pyannote[1135].end 7162.11846875
transcript.pyannote[1136].speaker SPEAKER_05
transcript.pyannote[1136].start 7160.51534375
transcript.pyannote[1136].end 7174.99409375
transcript.pyannote[1137].speaker SPEAKER_05
transcript.pyannote[1137].start 7175.23034375
transcript.pyannote[1137].end 7183.31346875
transcript.pyannote[1138].speaker SPEAKER_05
transcript.pyannote[1138].start 7183.87034375
transcript.pyannote[1138].end 7195.09221875
transcript.pyannote[1139].speaker SPEAKER_05
transcript.pyannote[1139].start 7195.26096875
transcript.pyannote[1139].end 7210.19534375
transcript.pyannote[1140].speaker SPEAKER_05
transcript.pyannote[1140].start 7211.02221875
transcript.pyannote[1140].end 7213.51971875
transcript.pyannote[1141].speaker SPEAKER_05
transcript.pyannote[1141].start 7213.62096875
transcript.pyannote[1141].end 7214.86971875
transcript.pyannote[1142].speaker SPEAKER_05
transcript.pyannote[1142].start 7215.10596875
transcript.pyannote[1142].end 7215.57846875
transcript.pyannote[1143].speaker SPEAKER_05
transcript.pyannote[1143].start 7215.83159375
transcript.pyannote[1143].end 7224.30284375
transcript.pyannote[1144].speaker SPEAKER_05
transcript.pyannote[1144].start 7224.57284375
transcript.pyannote[1144].end 7230.02346875
transcript.pyannote[1145].speaker SPEAKER_05
transcript.pyannote[1145].start 7230.34409375
transcript.pyannote[1145].end 7259.87534375
transcript.pyannote[1146].speaker SPEAKER_10
transcript.pyannote[1146].start 7260.33096875
transcript.pyannote[1146].end 7286.94284375
transcript.pyannote[1147].speaker SPEAKER_05
transcript.pyannote[1147].start 7266.32159375
transcript.pyannote[1147].end 7267.67159375
transcript.pyannote[1148].speaker SPEAKER_05
transcript.pyannote[1148].start 7286.26784375
transcript.pyannote[1148].end 7293.76034375
transcript.pyannote[1149].speaker SPEAKER_10
transcript.pyannote[1149].start 7288.66409375
transcript.pyannote[1149].end 7290.70596875
transcript.pyannote[1150].speaker SPEAKER_10
transcript.pyannote[1150].start 7293.23721875
transcript.pyannote[1150].end 7297.99596875
transcript.pyannote[1151].speaker SPEAKER_05
transcript.pyannote[1151].start 7295.21159375
transcript.pyannote[1151].end 7295.48159375
transcript.pyannote[1152].speaker SPEAKER_05
transcript.pyannote[1152].start 7298.28284375
transcript.pyannote[1152].end 7309.94346875
transcript.pyannote[1153].speaker SPEAKER_05
transcript.pyannote[1153].start 7310.12909375
transcript.pyannote[1153].end 7314.76971875
transcript.pyannote[1154].speaker SPEAKER_05
transcript.pyannote[1154].start 7314.93846875
transcript.pyannote[1154].end 7344.77346875
transcript.pyannote[1155].speaker SPEAKER_05
transcript.pyannote[1155].start 7345.09409375
transcript.pyannote[1155].end 7347.06846875
transcript.pyannote[1156].speaker SPEAKER_05
transcript.pyannote[1156].start 7347.38909375
transcript.pyannote[1156].end 7363.84221875
transcript.pyannote[1157].speaker SPEAKER_05
transcript.pyannote[1157].start 7364.12909375
transcript.pyannote[1157].end 7365.58034375
transcript.pyannote[1158].speaker SPEAKER_05
transcript.pyannote[1158].start 7365.95159375
transcript.pyannote[1158].end 7369.03971875
transcript.pyannote[1159].speaker SPEAKER_05
transcript.pyannote[1159].start 7370.05221875
transcript.pyannote[1159].end 7374.45659375
transcript.pyannote[1160].speaker SPEAKER_05
transcript.pyannote[1160].start 7375.06409375
transcript.pyannote[1160].end 7375.41846875
transcript.pyannote[1161].speaker SPEAKER_05
transcript.pyannote[1161].start 7375.60409375
transcript.pyannote[1161].end 7377.03846875
transcript.pyannote[1162].speaker SPEAKER_10
transcript.pyannote[1162].start 7377.89909375
transcript.pyannote[1162].end 7390.72409375
transcript.pyannote[1163].speaker SPEAKER_05
transcript.pyannote[1163].start 7381.35846875
transcript.pyannote[1163].end 7382.52284375
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 7390.84221875
transcript.pyannote[1164].end 7403.58284375
transcript.pyannote[1165].speaker SPEAKER_10
transcript.pyannote[1165].start 7403.61659375
transcript.pyannote[1165].end 7410.43409375
transcript.pyannote[1166].speaker SPEAKER_10
transcript.pyannote[1166].start 7410.61971875
transcript.pyannote[1166].end 7421.03159375
transcript.pyannote[1167].speaker SPEAKER_10
transcript.pyannote[1167].start 7421.06534375
transcript.pyannote[1167].end 7438.91909375
transcript.pyannote[1168].speaker SPEAKER_05
transcript.pyannote[1168].start 7439.08784375
transcript.pyannote[1168].end 7440.97784375
transcript.pyannote[1169].speaker SPEAKER_05
transcript.pyannote[1169].start 7441.82159375
transcript.pyannote[1169].end 7443.42471875
transcript.pyannote[1170].speaker SPEAKER_05
transcript.pyannote[1170].start 7443.96471875
transcript.pyannote[1170].end 7445.56784375
transcript.pyannote[1171].speaker SPEAKER_05
transcript.pyannote[1171].start 7445.97284375
transcript.pyannote[1171].end 7447.55909375
transcript.pyannote[1172].speaker SPEAKER_10
transcript.pyannote[1172].start 7447.99784375
transcript.pyannote[1172].end 7450.73159375
transcript.pyannote[1173].speaker SPEAKER_05
transcript.pyannote[1173].start 7449.43221875
transcript.pyannote[1173].end 7454.73096875
transcript.pyannote[1174].speaker SPEAKER_10
transcript.pyannote[1174].start 7454.64659375
transcript.pyannote[1174].end 7454.96721875
transcript.pyannote[1175].speaker SPEAKER_05
transcript.pyannote[1175].start 7454.93346875
transcript.pyannote[1175].end 7461.78471875
transcript.pyannote[1176].speaker SPEAKER_06
transcript.pyannote[1176].start 7454.96721875
transcript.pyannote[1176].end 7455.01784375
transcript.pyannote[1177].speaker SPEAKER_05
transcript.pyannote[1177].start 7461.97034375
transcript.pyannote[1177].end 7463.48909375
transcript.pyannote[1178].speaker SPEAKER_10
transcript.pyannote[1178].start 7463.48909375
transcript.pyannote[1178].end 7464.68721875
transcript.pyannote[1179].speaker SPEAKER_05
transcript.pyannote[1179].start 7463.97846875
transcript.pyannote[1179].end 7464.78846875
transcript.pyannote[1180].speaker SPEAKER_05
transcript.pyannote[1180].start 7464.92346875
transcript.pyannote[1180].end 7465.02471875
transcript.pyannote[1181].speaker SPEAKER_10
transcript.pyannote[1181].start 7465.19346875
transcript.pyannote[1181].end 7481.71409375
transcript.pyannote[1182].speaker SPEAKER_05
transcript.pyannote[1182].start 7480.93784375
transcript.pyannote[1182].end 7485.84846875
transcript.pyannote[1183].speaker SPEAKER_10
transcript.pyannote[1183].start 7485.05534375
transcript.pyannote[1183].end 7486.57409375
transcript.pyannote[1184].speaker SPEAKER_05
transcript.pyannote[1184].start 7486.13534375
transcript.pyannote[1184].end 7493.67846875
transcript.pyannote[1185].speaker SPEAKER_10
transcript.pyannote[1185].start 7487.14784375
transcript.pyannote[1185].end 7487.95784375
transcript.pyannote[1186].speaker SPEAKER_10
transcript.pyannote[1186].start 7490.67471875
transcript.pyannote[1186].end 7490.86034375
transcript.pyannote[1187].speaker SPEAKER_10
transcript.pyannote[1187].start 7493.40846875
transcript.pyannote[1187].end 7497.74534375
transcript.pyannote[1188].speaker SPEAKER_05
transcript.pyannote[1188].start 7495.41659375
transcript.pyannote[1188].end 7496.00721875
transcript.pyannote[1189].speaker SPEAKER_05
transcript.pyannote[1189].start 7497.69471875
transcript.pyannote[1189].end 7504.02284375
transcript.pyannote[1190].speaker SPEAKER_05
transcript.pyannote[1190].start 7504.15784375
transcript.pyannote[1190].end 7508.98409375
transcript.pyannote[1191].speaker SPEAKER_07
transcript.pyannote[1191].start 7509.11909375
transcript.pyannote[1191].end 7509.54096875
transcript.pyannote[1192].speaker SPEAKER_05
transcript.pyannote[1192].start 7509.54096875
transcript.pyannote[1192].end 7518.63659375
transcript.pyannote[1193].speaker SPEAKER_10
transcript.pyannote[1193].start 7518.45096875
transcript.pyannote[1193].end 7528.30596875
transcript.pyannote[1194].speaker SPEAKER_05
transcript.pyannote[1194].start 7525.31909375
transcript.pyannote[1194].end 7539.00471875
transcript.pyannote[1195].speaker SPEAKER_10
transcript.pyannote[1195].start 7528.79534375
transcript.pyannote[1195].end 7530.36471875
transcript.pyannote[1196].speaker SPEAKER_07
transcript.pyannote[1196].start 7536.32159375
transcript.pyannote[1196].end 7537.04721875
transcript.pyannote[1197].speaker SPEAKER_05
transcript.pyannote[1197].start 7539.67971875
transcript.pyannote[1197].end 7540.38846875
transcript.pyannote[1198].speaker SPEAKER_05
transcript.pyannote[1198].start 7540.72596875
transcript.pyannote[1198].end 7543.86471875
transcript.pyannote[1199].speaker SPEAKER_08
transcript.pyannote[1199].start 7543.86471875
transcript.pyannote[1199].end 7544.47221875
transcript.pyannote[1200].speaker SPEAKER_05
transcript.pyannote[1200].start 7544.52284375
transcript.pyannote[1200].end 7564.23284375
transcript.pyannote[1201].speaker SPEAKER_05
transcript.pyannote[1201].start 7564.41846875
transcript.pyannote[1201].end 7575.91034375
transcript.pyannote[1202].speaker SPEAKER_10
transcript.pyannote[1202].start 7575.15096875
transcript.pyannote[1202].end 7579.26846875
transcript.pyannote[1203].speaker SPEAKER_05
transcript.pyannote[1203].start 7576.41659375
transcript.pyannote[1203].end 7603.80471875
transcript.pyannote[1204].speaker SPEAKER_10
transcript.pyannote[1204].start 7603.73721875
transcript.pyannote[1204].end 7605.94784375
transcript.pyannote[1205].speaker SPEAKER_05
transcript.pyannote[1205].start 7604.04096875
transcript.pyannote[1205].end 7607.34846875
transcript.pyannote[1206].speaker SPEAKER_05
transcript.pyannote[1206].start 7607.78721875
transcript.pyannote[1206].end 7608.51284375
transcript.pyannote[1207].speaker SPEAKER_05
transcript.pyannote[1207].start 7609.17096875
transcript.pyannote[1207].end 7610.35221875
transcript.pyannote[1208].speaker SPEAKER_05
transcript.pyannote[1208].start 7613.44034375
transcript.pyannote[1208].end 7618.11471875
transcript.pyannote[1209].speaker SPEAKER_05
transcript.pyannote[1209].start 7618.41846875
transcript.pyannote[1209].end 7622.14784375
transcript.pyannote[1210].speaker SPEAKER_05
transcript.pyannote[1210].start 7622.19846875
transcript.pyannote[1210].end 7626.87284375
transcript.pyannote[1211].speaker SPEAKER_05
transcript.pyannote[1211].start 7627.22721875
transcript.pyannote[1211].end 7630.09596875
transcript.pyannote[1212].speaker SPEAKER_05
transcript.pyannote[1212].start 7630.38284375
transcript.pyannote[1212].end 7634.02784375
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 7634.38221875
transcript.pyannote[1213].end 7637.45346875
transcript.pyannote[1214].speaker SPEAKER_10
transcript.pyannote[1214].start 7636.55909375
transcript.pyannote[1214].end 7637.36909375
transcript.pyannote[1215].speaker SPEAKER_05
transcript.pyannote[1215].start 7637.77409375
transcript.pyannote[1215].end 7641.87471875
transcript.pyannote[1216].speaker SPEAKER_10
transcript.pyannote[1216].start 7642.51596875
transcript.pyannote[1216].end 7668.03096875
transcript.pyannote[1217].speaker SPEAKER_10
transcript.pyannote[1217].start 7668.43596875
transcript.pyannote[1217].end 7674.35909375
transcript.pyannote[1218].speaker SPEAKER_05
transcript.pyannote[1218].start 7674.89909375
transcript.pyannote[1218].end 7682.37471875
transcript.pyannote[1219].speaker SPEAKER_05
transcript.pyannote[1219].start 7682.84721875
transcript.pyannote[1219].end 7687.97721875
transcript.pyannote[1220].speaker SPEAKER_10
transcript.pyannote[1220].start 7686.12096875
transcript.pyannote[1220].end 7699.57034375
transcript.pyannote[1221].speaker SPEAKER_05
transcript.pyannote[1221].start 7690.59284375
transcript.pyannote[1221].end 7692.46596875
transcript.pyannote[1222].speaker SPEAKER_05
transcript.pyannote[1222].start 7692.98909375
transcript.pyannote[1222].end 7694.94659375
transcript.pyannote[1223].speaker SPEAKER_05
transcript.pyannote[1223].start 7696.58346875
transcript.pyannote[1223].end 7697.03909375
transcript.pyannote[1224].speaker SPEAKER_05
transcript.pyannote[1224].start 7699.57034375
transcript.pyannote[1224].end 7710.48846875
transcript.pyannote[1225].speaker SPEAKER_10
transcript.pyannote[1225].start 7702.25346875
transcript.pyannote[1225].end 7702.81034375
transcript.pyannote[1226].speaker SPEAKER_05
transcript.pyannote[1226].start 7710.60659375
transcript.pyannote[1226].end 7717.32284375
transcript.pyannote[1227].speaker SPEAKER_07
transcript.pyannote[1227].start 7716.56346875
transcript.pyannote[1227].end 7719.93846875
transcript.pyannote[1228].speaker SPEAKER_05
transcript.pyannote[1228].start 7717.55909375
transcript.pyannote[1228].end 7720.12409375
transcript.pyannote[1229].speaker SPEAKER_12
transcript.pyannote[1229].start 7720.12409375
transcript.pyannote[1229].end 7720.17471875
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 7724.35971875
transcript.pyannote[1230].end 7724.61284375
transcript.pyannote[1231].speaker SPEAKER_12
transcript.pyannote[1231].start 7726.62096875
transcript.pyannote[1231].end 7729.08471875
transcript.pyannote[1232].speaker SPEAKER_12
transcript.pyannote[1232].start 7730.13096875
transcript.pyannote[1232].end 7730.90721875
transcript.pyannote[1233].speaker SPEAKER_04
transcript.pyannote[1233].start 7738.73721875
transcript.pyannote[1233].end 7741.25159375
transcript.pyannote[1234].speaker SPEAKER_04
transcript.pyannote[1234].start 7742.28096875
transcript.pyannote[1234].end 7742.92221875
transcript.pyannote[1235].speaker SPEAKER_07
transcript.pyannote[1235].start 7747.69784375
transcript.pyannote[1235].end 7748.20409375
transcript.pyannote[1236].speaker SPEAKER_04
transcript.pyannote[1236].start 7749.16596875
transcript.pyannote[1236].end 7750.21221875
transcript.pyannote[1237].speaker SPEAKER_04
transcript.pyannote[1237].start 7750.90409375
transcript.pyannote[1237].end 7756.16909375
transcript.pyannote[1238].speaker SPEAKER_04
transcript.pyannote[1238].start 7757.55284375
transcript.pyannote[1238].end 7758.95346875
transcript.pyannote[1239].speaker SPEAKER_04
transcript.pyannote[1239].start 7759.78034375
transcript.pyannote[1239].end 7760.47221875
transcript.pyannote[1240].speaker SPEAKER_04
transcript.pyannote[1240].start 7760.57346875
transcript.pyannote[1240].end 7762.36221875
transcript.pyannote[1241].speaker SPEAKER_04
transcript.pyannote[1241].start 7763.13846875
transcript.pyannote[1241].end 7763.42534375
transcript.pyannote[1242].speaker SPEAKER_04
transcript.pyannote[1242].start 7764.03284375
transcript.pyannote[1242].end 7765.83846875
transcript.pyannote[1243].speaker SPEAKER_04
transcript.pyannote[1243].start 7766.63159375
transcript.pyannote[1243].end 7767.67784375
transcript.pyannote[1244].speaker SPEAKER_04
transcript.pyannote[1244].start 7768.16721875
transcript.pyannote[1244].end 7769.65221875
transcript.pyannote[1245].speaker SPEAKER_04
transcript.pyannote[1245].start 7770.19221875
transcript.pyannote[1245].end 7771.45784375
transcript.pyannote[1246].speaker SPEAKER_04
transcript.pyannote[1246].start 7771.99784375
transcript.pyannote[1246].end 7774.27596875
transcript.pyannote[1247].speaker SPEAKER_04
transcript.pyannote[1247].start 7774.52909375
transcript.pyannote[1247].end 7777.51596875
transcript.pyannote[1248].speaker SPEAKER_04
transcript.pyannote[1248].start 7778.12346875
transcript.pyannote[1248].end 7790.10471875
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 7791.10034375
transcript.pyannote[1249].end 7792.39971875
transcript.pyannote[1250].speaker SPEAKER_04
transcript.pyannote[1250].start 7793.32784375
transcript.pyannote[1250].end 7797.36096875
transcript.pyannote[1251].speaker SPEAKER_04
transcript.pyannote[1251].start 7797.76596875
transcript.pyannote[1251].end 7803.45284375
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 7804.24596875
transcript.pyannote[1252].end 7807.84034375
transcript.pyannote[1253].speaker SPEAKER_04
transcript.pyannote[1253].start 7808.75159375
transcript.pyannote[1253].end 7816.39596875
transcript.pyannote[1254].speaker SPEAKER_04
transcript.pyannote[1254].start 7816.71659375
transcript.pyannote[1254].end 7823.11221875
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 7823.92221875
transcript.pyannote[1255].end 7827.75284375
transcript.pyannote[1256].speaker SPEAKER_04
transcript.pyannote[1256].start 7828.15784375
transcript.pyannote[1256].end 7831.53284375
transcript.pyannote[1257].speaker SPEAKER_04
transcript.pyannote[1257].start 7831.80284375
transcript.pyannote[1257].end 7836.81471875
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 7837.33784375
transcript.pyannote[1258].end 7846.78784375
transcript.pyannote[1259].speaker SPEAKER_04
transcript.pyannote[1259].start 7847.20971875
transcript.pyannote[1259].end 7853.52096875
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 7853.94284375
transcript.pyannote[1260].end 7854.61784375
transcript.pyannote[1261].speaker SPEAKER_04
transcript.pyannote[1261].start 7855.15784375
transcript.pyannote[1261].end 7856.87909375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 7857.19971875
transcript.pyannote[1262].end 7858.02659375
transcript.pyannote[1263].speaker SPEAKER_04
transcript.pyannote[1263].start 7858.73534375
transcript.pyannote[1263].end 7859.86596875
transcript.pyannote[1264].speaker SPEAKER_04
transcript.pyannote[1264].start 7860.38909375
transcript.pyannote[1264].end 7860.97971875
transcript.pyannote[1265].speaker SPEAKER_04
transcript.pyannote[1265].start 7861.45221875
transcript.pyannote[1265].end 7863.37596875
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 7864.32096875
transcript.pyannote[1266].end 7865.95784375
transcript.pyannote[1267].speaker SPEAKER_04
transcript.pyannote[1267].start 7866.81846875
transcript.pyannote[1267].end 7867.76346875
transcript.pyannote[1268].speaker SPEAKER_04
transcript.pyannote[1268].start 7868.62409375
transcript.pyannote[1268].end 7868.91096875
transcript.pyannote[1269].speaker SPEAKER_04
transcript.pyannote[1269].start 7869.14721875
transcript.pyannote[1269].end 7873.02846875
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 7873.50096875
transcript.pyannote[1270].end 7874.04096875
transcript.pyannote[1271].speaker SPEAKER_04
transcript.pyannote[1271].start 7874.34471875
transcript.pyannote[1271].end 7874.98596875
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 7875.69471875
transcript.pyannote[1272].end 7879.03596875
transcript.pyannote[1273].speaker SPEAKER_04
transcript.pyannote[1273].start 7879.76159375
transcript.pyannote[1273].end 7881.60096875
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 7882.15784375
transcript.pyannote[1274].end 7896.04596875
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7896.38346875
transcript.pyannote[1275].end 7898.34096875
transcript.pyannote[1276].speaker SPEAKER_04
transcript.pyannote[1276].start 7898.56034375
transcript.pyannote[1276].end 7907.40284375
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 7907.97659375
transcript.pyannote[1277].end 7909.78221875
transcript.pyannote[1278].speaker SPEAKER_04
transcript.pyannote[1278].start 7911.23346875
transcript.pyannote[1278].end 7915.26659375
transcript.pyannote[1279].speaker SPEAKER_04
transcript.pyannote[1279].start 7915.38471875
transcript.pyannote[1279].end 7916.73471875
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 7917.30846875
transcript.pyannote[1280].end 7919.28284375
transcript.pyannote[1281].speaker SPEAKER_10
transcript.pyannote[1281].start 7921.42596875
transcript.pyannote[1281].end 7937.62596875
transcript.pyannote[1282].speaker SPEAKER_10
transcript.pyannote[1282].start 7937.86221875
transcript.pyannote[1282].end 7941.47346875
transcript.pyannote[1283].speaker SPEAKER_10
transcript.pyannote[1283].start 7941.82784375
transcript.pyannote[1283].end 7950.04596875
transcript.pyannote[1284].speaker SPEAKER_10
transcript.pyannote[1284].start 7950.18096875
transcript.pyannote[1284].end 7953.28596875
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 7954.63596875
transcript.pyannote[1285].end 7956.76221875
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 7957.11659375
transcript.pyannote[1286].end 7960.32284375
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 7961.08221875
transcript.pyannote[1287].end 7961.80784375
transcript.pyannote[1288].speaker SPEAKER_04
transcript.pyannote[1288].start 7963.03971875
transcript.pyannote[1288].end 7964.22096875
transcript.pyannote[1289].speaker SPEAKER_04
transcript.pyannote[1289].start 7965.52034375
transcript.pyannote[1289].end 7965.53721875
transcript.pyannote[1290].speaker SPEAKER_04
transcript.pyannote[1290].start 7965.58784375
transcript.pyannote[1290].end 7973.94096875
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 7974.48096875
transcript.pyannote[1291].end 7975.00409375
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 7975.74659375
transcript.pyannote[1292].end 7976.10096875
transcript.pyannote[1293].speaker SPEAKER_04
transcript.pyannote[1293].start 7976.40471875
transcript.pyannote[1293].end 7978.34534375
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 7978.51409375
transcript.pyannote[1294].end 7987.66034375
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 7988.08221875
transcript.pyannote[1295].end 8005.53096875
transcript.pyannote[1296].speaker SPEAKER_04
transcript.pyannote[1296].start 8006.17221875
transcript.pyannote[1296].end 8013.66471875
transcript.pyannote[1297].speaker SPEAKER_04
transcript.pyannote[1297].start 8014.18784375
transcript.pyannote[1297].end 8017.71471875
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 8018.86221875
transcript.pyannote[1298].end 8021.68034375
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 8022.52409375
transcript.pyannote[1299].end 8025.15659375
transcript.pyannote[1300].speaker SPEAKER_04
transcript.pyannote[1300].start 8026.27034375
transcript.pyannote[1300].end 8028.02534375
transcript.pyannote[1301].speaker SPEAKER_04
transcript.pyannote[1301].start 8028.46409375
transcript.pyannote[1301].end 8030.30346875
transcript.pyannote[1302].speaker SPEAKER_04
transcript.pyannote[1302].start 8030.64096875
transcript.pyannote[1302].end 8042.16659375
transcript.pyannote[1303].speaker SPEAKER_10
transcript.pyannote[1303].start 8042.16659375
transcript.pyannote[1303].end 8042.30159375
transcript.pyannote[1304].speaker SPEAKER_04
transcript.pyannote[1304].start 8042.30159375
transcript.pyannote[1304].end 8042.31846875
transcript.pyannote[1305].speaker SPEAKER_10
transcript.pyannote[1305].start 8042.31846875
transcript.pyannote[1305].end 8042.40284375
transcript.pyannote[1306].speaker SPEAKER_10
transcript.pyannote[1306].start 8042.60534375
transcript.pyannote[1306].end 8048.03909375
transcript.pyannote[1307].speaker SPEAKER_10
transcript.pyannote[1307].start 8048.44409375
transcript.pyannote[1307].end 8052.12284375
transcript.pyannote[1308].speaker SPEAKER_10
transcript.pyannote[1308].start 8052.62909375
transcript.pyannote[1308].end 8059.59846875
transcript.pyannote[1309].speaker SPEAKER_04
transcript.pyannote[1309].start 8060.27346875
transcript.pyannote[1309].end 8061.35346875
transcript.pyannote[1310].speaker SPEAKER_10
transcript.pyannote[1310].start 8061.35346875
transcript.pyannote[1310].end 8061.60659375
transcript.pyannote[1311].speaker SPEAKER_04
transcript.pyannote[1311].start 8061.60659375
transcript.pyannote[1311].end 8061.64034375
transcript.pyannote[1312].speaker SPEAKER_04
transcript.pyannote[1312].start 8061.97784375
transcript.pyannote[1312].end 8062.85534375
transcript.pyannote[1313].speaker SPEAKER_04
transcript.pyannote[1313].start 8063.12534375
transcript.pyannote[1313].end 8064.42471875
transcript.pyannote[1314].speaker SPEAKER_04
transcript.pyannote[1314].start 8064.79596875
transcript.pyannote[1314].end 8065.75784375
transcript.pyannote[1315].speaker SPEAKER_04
transcript.pyannote[1315].start 8066.04471875
transcript.pyannote[1315].end 8067.59721875
transcript.pyannote[1316].speaker SPEAKER_04
transcript.pyannote[1316].start 8067.88409375
transcript.pyannote[1316].end 8068.93034375
transcript.pyannote[1317].speaker SPEAKER_04
transcript.pyannote[1317].start 8069.63909375
transcript.pyannote[1317].end 8071.74846875
transcript.pyannote[1318].speaker SPEAKER_04
transcript.pyannote[1318].start 8072.40659375
transcript.pyannote[1318].end 8076.05159375
transcript.pyannote[1319].speaker SPEAKER_04
transcript.pyannote[1319].start 8076.37221875
transcript.pyannote[1319].end 8086.10909375
transcript.pyannote[1320].speaker SPEAKER_08
transcript.pyannote[1320].start 8078.02596875
transcript.pyannote[1320].end 8078.04284375
transcript.pyannote[1321].speaker SPEAKER_10
transcript.pyannote[1321].start 8078.04284375
transcript.pyannote[1321].end 8078.14409375
transcript.pyannote[1322].speaker SPEAKER_06
transcript.pyannote[1322].start 8078.14409375
transcript.pyannote[1322].end 8078.27909375
transcript.pyannote[1323].speaker SPEAKER_10
transcript.pyannote[1323].start 8078.27909375
transcript.pyannote[1323].end 8078.29596875
transcript.pyannote[1324].speaker SPEAKER_06
transcript.pyannote[1324].start 8078.29596875
transcript.pyannote[1324].end 8078.46471875
transcript.pyannote[1325].speaker SPEAKER_10
transcript.pyannote[1325].start 8078.46471875
transcript.pyannote[1325].end 8078.58284375
transcript.pyannote[1326].speaker SPEAKER_04
transcript.pyannote[1326].start 8086.12596875
transcript.pyannote[1326].end 8088.45471875
transcript.pyannote[1327].speaker SPEAKER_08
transcript.pyannote[1327].start 8088.45471875
transcript.pyannote[1327].end 8089.07909375
transcript.pyannote[1328].speaker SPEAKER_04
transcript.pyannote[1328].start 8088.82596875
transcript.pyannote[1328].end 8091.72846875
transcript.pyannote[1329].speaker SPEAKER_10
transcript.pyannote[1329].start 8091.72846875
transcript.pyannote[1329].end 8091.81284375
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 8091.81284375
transcript.pyannote[1330].end 8093.11221875
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 8093.61846875
transcript.pyannote[1331].end 8096.72346875
transcript.pyannote[1332].speaker SPEAKER_06
transcript.pyannote[1332].start 8095.40721875
transcript.pyannote[1332].end 8095.44096875
transcript.pyannote[1333].speaker SPEAKER_10
transcript.pyannote[1333].start 8095.44096875
transcript.pyannote[1333].end 8096.65596875
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 8097.07784375
transcript.pyannote[1334].end 8101.68471875
transcript.pyannote[1335].speaker SPEAKER_00
transcript.pyannote[1335].start 8098.00596875
transcript.pyannote[1335].end 8098.02284375
transcript.pyannote[1336].speaker SPEAKER_10
transcript.pyannote[1336].start 8098.02284375
transcript.pyannote[1336].end 8098.51221875
transcript.pyannote[1337].speaker SPEAKER_00
transcript.pyannote[1337].start 8098.51221875
transcript.pyannote[1337].end 8098.52909375
transcript.pyannote[1338].speaker SPEAKER_04
transcript.pyannote[1338].start 8102.34284375
transcript.pyannote[1338].end 8103.67596875
transcript.pyannote[1339].speaker SPEAKER_04
transcript.pyannote[1339].start 8104.18221875
transcript.pyannote[1339].end 8106.40971875
transcript.pyannote[1340].speaker SPEAKER_10
transcript.pyannote[1340].start 8106.64596875
transcript.pyannote[1340].end 8118.76221875
transcript.pyannote[1341].speaker SPEAKER_04
transcript.pyannote[1341].start 8108.90721875
transcript.pyannote[1341].end 8109.31221875
transcript.pyannote[1342].speaker SPEAKER_04
transcript.pyannote[1342].start 8116.07909375
transcript.pyannote[1342].end 8119.21784375
transcript.pyannote[1343].speaker SPEAKER_10
transcript.pyannote[1343].start 8118.88034375
transcript.pyannote[1343].end 8119.36971875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 8119.89284375
transcript.pyannote[1344].end 8123.13284375
transcript.pyannote[1345].speaker SPEAKER_10
transcript.pyannote[1345].start 8122.15409375
transcript.pyannote[1345].end 8122.52534375
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 8123.45346875
transcript.pyannote[1346].end 8124.21284375
transcript.pyannote[1347].speaker SPEAKER_10
transcript.pyannote[1347].start 8123.70659375
transcript.pyannote[1347].end 8123.80784375
transcript.pyannote[1348].speaker SPEAKER_10
transcript.pyannote[1348].start 8124.39846875
transcript.pyannote[1348].end 8125.10721875
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 8125.14096875
transcript.pyannote[1349].end 8126.13659375
transcript.pyannote[1350].speaker SPEAKER_10
transcript.pyannote[1350].start 8126.28846875
transcript.pyannote[1350].end 8126.59221875
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 8127.16596875
transcript.pyannote[1351].end 8129.02221875
transcript.pyannote[1352].speaker SPEAKER_10
transcript.pyannote[1352].start 8129.46096875
transcript.pyannote[1352].end 8129.74784375
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 8130.35534375
transcript.pyannote[1353].end 8131.31721875
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 8132.09346875
transcript.pyannote[1354].end 8133.05534375
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 8133.91596875
transcript.pyannote[1355].end 8136.39659375
transcript.pyannote[1356].speaker SPEAKER_04
transcript.pyannote[1356].start 8136.80159375
transcript.pyannote[1356].end 8139.06284375
transcript.pyannote[1357].speaker SPEAKER_04
transcript.pyannote[1357].start 8139.68721875
transcript.pyannote[1357].end 8141.07096875
transcript.pyannote[1358].speaker SPEAKER_04
transcript.pyannote[1358].start 8141.08784375
transcript.pyannote[1358].end 8145.61034375
transcript.pyannote[1359].speaker SPEAKER_04
transcript.pyannote[1359].start 8145.98159375
transcript.pyannote[1359].end 8148.00659375
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 8148.42846875
transcript.pyannote[1360].end 8150.48721875
transcript.pyannote[1361].speaker SPEAKER_10
transcript.pyannote[1361].start 8150.58846875
transcript.pyannote[1361].end 8150.82471875
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 8151.22971875
transcript.pyannote[1362].end 8152.73159375
transcript.pyannote[1363].speaker SPEAKER_12
transcript.pyannote[1363].start 8152.73159375
transcript.pyannote[1363].end 8153.74409375
transcript.pyannote[1364].speaker SPEAKER_12
transcript.pyannote[1364].start 8153.86221875
transcript.pyannote[1364].end 8154.87471875
transcript.pyannote[1365].speaker SPEAKER_12
transcript.pyannote[1365].start 8157.32159375
transcript.pyannote[1365].end 8167.29471875
transcript.pyannote[1366].speaker SPEAKER_08
transcript.pyannote[1366].start 8167.59846875
transcript.pyannote[1366].end 8178.31409375
transcript.pyannote[1367].speaker SPEAKER_12
transcript.pyannote[1367].start 8177.01471875
transcript.pyannote[1367].end 8177.90909375
transcript.pyannote[1368].speaker SPEAKER_12
transcript.pyannote[1368].start 8178.39846875
transcript.pyannote[1368].end 8179.07346875
transcript.pyannote[1369].speaker SPEAKER_12
transcript.pyannote[1369].start 8179.71471875
transcript.pyannote[1369].end 8180.67659375
transcript.pyannote[1370].speaker SPEAKER_08
transcript.pyannote[1370].start 8182.98846875
transcript.pyannote[1370].end 8185.28346875
transcript.pyannote[1371].speaker SPEAKER_06
transcript.pyannote[1371].start 8183.56221875
transcript.pyannote[1371].end 8183.57909375
transcript.pyannote[1372].speaker SPEAKER_12
transcript.pyannote[1372].start 8183.57909375
transcript.pyannote[1372].end 8183.96721875
transcript.pyannote[1373].speaker SPEAKER_08
transcript.pyannote[1373].start 8185.40159375
transcript.pyannote[1373].end 8189.14784375
transcript.pyannote[1374].speaker SPEAKER_08
transcript.pyannote[1374].start 8189.31659375
transcript.pyannote[1374].end 8201.11221875
transcript.pyannote[1375].speaker SPEAKER_08
transcript.pyannote[1375].start 8201.24721875
transcript.pyannote[1375].end 8207.27159375
transcript.pyannote[1376].speaker SPEAKER_08
transcript.pyannote[1376].start 8207.55846875
transcript.pyannote[1376].end 8214.32534375
transcript.pyannote[1377].speaker SPEAKER_08
transcript.pyannote[1377].start 8214.56159375
transcript.pyannote[1377].end 8219.69159375
transcript.pyannote[1378].speaker SPEAKER_08
transcript.pyannote[1378].start 8219.89409375
transcript.pyannote[1378].end 8222.56034375
transcript.pyannote[1379].speaker SPEAKER_08
transcript.pyannote[1379].start 8223.53909375
transcript.pyannote[1379].end 8227.16721875
transcript.pyannote[1380].speaker SPEAKER_08
transcript.pyannote[1380].start 8227.60596875
transcript.pyannote[1380].end 8229.41159375
transcript.pyannote[1381].speaker SPEAKER_08
transcript.pyannote[1381].start 8229.81659375
transcript.pyannote[1381].end 8230.06971875
transcript.pyannote[1382].speaker SPEAKER_10
transcript.pyannote[1382].start 8230.06971875
transcript.pyannote[1382].end 8243.67096875
transcript.pyannote[1383].speaker SPEAKER_08
transcript.pyannote[1383].start 8237.22471875
transcript.pyannote[1383].end 8237.39346875
transcript.pyannote[1384].speaker SPEAKER_08
transcript.pyannote[1384].start 8243.67096875
transcript.pyannote[1384].end 8243.99159375
transcript.pyannote[1385].speaker SPEAKER_10
transcript.pyannote[1385].start 8243.99159375
transcript.pyannote[1385].end 8244.02534375
transcript.pyannote[1386].speaker SPEAKER_08
transcript.pyannote[1386].start 8244.02534375
transcript.pyannote[1386].end 8244.56534375
transcript.pyannote[1387].speaker SPEAKER_08
transcript.pyannote[1387].start 8245.10534375
transcript.pyannote[1387].end 8253.50909375
transcript.pyannote[1388].speaker SPEAKER_08
transcript.pyannote[1388].start 8253.81284375
transcript.pyannote[1388].end 8258.03159375
transcript.pyannote[1389].speaker SPEAKER_08
transcript.pyannote[1389].start 8258.25096875
transcript.pyannote[1389].end 8315.11971875
transcript.pyannote[1390].speaker SPEAKER_08
transcript.pyannote[1390].start 8316.11534375
transcript.pyannote[1390].end 8324.63721875
transcript.pyannote[1391].speaker SPEAKER_08
transcript.pyannote[1391].start 8325.48096875
transcript.pyannote[1391].end 8325.97034375
transcript.pyannote[1392].speaker SPEAKER_10
transcript.pyannote[1392].start 8325.97034375
transcript.pyannote[1392].end 8335.55534375
transcript.pyannote[1393].speaker SPEAKER_10
transcript.pyannote[1393].start 8335.85909375
transcript.pyannote[1393].end 8342.23784375
transcript.pyannote[1394].speaker SPEAKER_10
transcript.pyannote[1394].start 8342.44034375
transcript.pyannote[1394].end 8343.41909375
transcript.pyannote[1395].speaker SPEAKER_10
transcript.pyannote[1395].start 8343.48659375
transcript.pyannote[1395].end 8364.04034375
transcript.pyannote[1396].speaker SPEAKER_06
transcript.pyannote[1396].start 8355.21471875
transcript.pyannote[1396].end 8356.02471875
transcript.pyannote[1397].speaker SPEAKER_08
transcript.pyannote[1397].start 8356.02471875
transcript.pyannote[1397].end 8356.66596875
transcript.pyannote[1398].speaker SPEAKER_08
transcript.pyannote[1398].start 8359.12971875
transcript.pyannote[1398].end 8359.58534375
transcript.pyannote[1399].speaker SPEAKER_10
transcript.pyannote[1399].start 8364.20909375
transcript.pyannote[1399].end 8364.68159375
transcript.pyannote[1400].speaker SPEAKER_08
transcript.pyannote[1400].start 8364.25971875
transcript.pyannote[1400].end 8376.39284375
transcript.pyannote[1401].speaker SPEAKER_08
transcript.pyannote[1401].start 8376.62909375
transcript.pyannote[1401].end 8384.64471875
transcript.pyannote[1402].speaker SPEAKER_10
transcript.pyannote[1402].start 8383.31159375
transcript.pyannote[1402].end 8397.45284375
transcript.pyannote[1403].speaker SPEAKER_08
transcript.pyannote[1403].start 8386.85534375
transcript.pyannote[1403].end 8387.22659375
transcript.pyannote[1404].speaker SPEAKER_10
transcript.pyannote[1404].start 8397.62159375
transcript.pyannote[1404].end 8400.59159375
transcript.pyannote[1405].speaker SPEAKER_10
transcript.pyannote[1405].start 8400.69284375
transcript.pyannote[1405].end 8402.32971875
transcript.pyannote[1406].speaker SPEAKER_08
transcript.pyannote[1406].start 8402.32971875
transcript.pyannote[1406].end 8402.51534375
transcript.pyannote[1407].speaker SPEAKER_10
transcript.pyannote[1407].start 8402.51534375
transcript.pyannote[1407].end 8403.03846875
transcript.pyannote[1408].speaker SPEAKER_08
transcript.pyannote[1408].start 8403.03846875
transcript.pyannote[1408].end 8403.20721875
transcript.pyannote[1409].speaker SPEAKER_08
transcript.pyannote[1409].start 8403.32534375
transcript.pyannote[1409].end 8410.96971875
transcript.pyannote[1410].speaker SPEAKER_10
transcript.pyannote[1410].start 8410.96971875
transcript.pyannote[1410].end 8411.79659375
transcript.pyannote[1411].speaker SPEAKER_08
transcript.pyannote[1411].start 8411.79659375
transcript.pyannote[1411].end 8411.81346875
transcript.pyannote[1412].speaker SPEAKER_10
transcript.pyannote[1412].start 8412.26909375
transcript.pyannote[1412].end 8422.29284375
transcript.pyannote[1413].speaker SPEAKER_08
transcript.pyannote[1413].start 8422.24221875
transcript.pyannote[1413].end 8426.81534375
transcript.pyannote[1414].speaker SPEAKER_10
transcript.pyannote[1414].start 8426.20784375
transcript.pyannote[1414].end 8426.93346875
transcript.pyannote[1415].speaker SPEAKER_08
transcript.pyannote[1415].start 8426.93346875
transcript.pyannote[1415].end 8426.96721875
transcript.pyannote[1416].speaker SPEAKER_10
transcript.pyannote[1416].start 8426.96721875
transcript.pyannote[1416].end 8427.05159375
transcript.pyannote[1417].speaker SPEAKER_08
transcript.pyannote[1417].start 8427.05159375
transcript.pyannote[1417].end 8427.06846875
transcript.pyannote[1418].speaker SPEAKER_10
transcript.pyannote[1418].start 8427.06846875
transcript.pyannote[1418].end 8427.42284375
transcript.pyannote[1419].speaker SPEAKER_08
transcript.pyannote[1419].start 8427.42284375
transcript.pyannote[1419].end 8427.52409375
transcript.pyannote[1420].speaker SPEAKER_10
transcript.pyannote[1420].start 8427.52409375
transcript.pyannote[1420].end 8427.57471875
transcript.pyannote[1421].speaker SPEAKER_08
transcript.pyannote[1421].start 8427.57471875
transcript.pyannote[1421].end 8427.81096875
transcript.pyannote[1422].speaker SPEAKER_10
transcript.pyannote[1422].start 8427.81096875
transcript.pyannote[1422].end 8427.92909375
transcript.pyannote[1423].speaker SPEAKER_08
transcript.pyannote[1423].start 8427.92909375
transcript.pyannote[1423].end 8427.96284375
transcript.pyannote[1424].speaker SPEAKER_10
transcript.pyannote[1424].start 8427.96284375
transcript.pyannote[1424].end 8430.86534375
transcript.pyannote[1425].speaker SPEAKER_08
transcript.pyannote[1425].start 8428.50284375
transcript.pyannote[1425].end 8430.32534375
transcript.pyannote[1426].speaker SPEAKER_08
transcript.pyannote[1426].start 8430.86534375
transcript.pyannote[1426].end 8430.94971875
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 8430.94971875
transcript.pyannote[1427].end 8430.96659375
transcript.pyannote[1428].speaker SPEAKER_08
transcript.pyannote[1428].start 8430.96659375
transcript.pyannote[1428].end 8432.31659375
transcript.pyannote[1429].speaker SPEAKER_08
transcript.pyannote[1429].start 8432.38409375
transcript.pyannote[1429].end 8432.40096875
transcript.pyannote[1430].speaker SPEAKER_10
transcript.pyannote[1430].start 8432.40096875
transcript.pyannote[1430].end 8432.41784375
transcript.pyannote[1431].speaker SPEAKER_08
transcript.pyannote[1431].start 8432.41784375
transcript.pyannote[1431].end 8432.83971875
transcript.pyannote[1432].speaker SPEAKER_10
transcript.pyannote[1432].start 8432.83971875
transcript.pyannote[1432].end 8433.02534375
transcript.pyannote[1433].speaker SPEAKER_08
transcript.pyannote[1433].start 8433.02534375
transcript.pyannote[1433].end 8434.59471875
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 8434.59471875
transcript.pyannote[1434].end 8434.96596875
transcript.pyannote[1435].speaker SPEAKER_08
transcript.pyannote[1435].start 8434.96596875
transcript.pyannote[1435].end 8437.78409375
transcript.pyannote[1436].speaker SPEAKER_10
transcript.pyannote[1436].start 8435.18534375
transcript.pyannote[1436].end 8439.31971875
transcript.pyannote[1437].speaker SPEAKER_10
transcript.pyannote[1437].start 8439.42096875
transcript.pyannote[1437].end 8439.50534375
transcript.pyannote[1438].speaker SPEAKER_08
transcript.pyannote[1438].start 8439.50534375
transcript.pyannote[1438].end 8475.02721875
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 8440.73721875
transcript.pyannote[1439].end 8441.53034375
transcript.pyannote[1440].speaker SPEAKER_08
transcript.pyannote[1440].start 8475.33096875
transcript.pyannote[1440].end 8491.95284375
transcript.pyannote[1441].speaker SPEAKER_08
transcript.pyannote[1441].start 8492.88096875
transcript.pyannote[1441].end 8493.97784375
transcript.pyannote[1442].speaker SPEAKER_10
transcript.pyannote[1442].start 8493.06659375
transcript.pyannote[1442].end 8493.45471875
transcript.pyannote[1443].speaker SPEAKER_10
transcript.pyannote[1443].start 8493.97784375
transcript.pyannote[1443].end 8504.40659375
transcript.pyannote[1444].speaker SPEAKER_08
transcript.pyannote[1444].start 8498.75346875
transcript.pyannote[1444].end 8499.00659375
transcript.pyannote[1445].speaker SPEAKER_08
transcript.pyannote[1445].start 8499.39471875
transcript.pyannote[1445].end 8499.93471875
transcript.pyannote[1446].speaker SPEAKER_10
transcript.pyannote[1446].start 8504.47409375
transcript.pyannote[1446].end 8514.68346875
transcript.pyannote[1447].speaker SPEAKER_10
transcript.pyannote[1447].start 8514.98721875
transcript.pyannote[1447].end 8515.47659375
transcript.pyannote[1448].speaker SPEAKER_08
transcript.pyannote[1448].start 8515.20659375
transcript.pyannote[1448].end 8525.04471875
transcript.pyannote[1449].speaker SPEAKER_08
transcript.pyannote[1449].start 8525.28096875
transcript.pyannote[1449].end 8526.54659375
transcript.pyannote[1450].speaker SPEAKER_06
transcript.pyannote[1450].start 8526.54659375
transcript.pyannote[1450].end 8527.50846875
transcript.pyannote[1451].speaker SPEAKER_08
transcript.pyannote[1451].start 8527.50846875
transcript.pyannote[1451].end 8538.08909375
transcript.pyannote[1452].speaker SPEAKER_06
transcript.pyannote[1452].start 8527.52534375
transcript.pyannote[1452].end 8527.66034375
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 8538.19034375
transcript.pyannote[1453].end 8540.01284375
transcript.pyannote[1454].speaker SPEAKER_10
transcript.pyannote[1454].start 8538.32534375
transcript.pyannote[1454].end 8544.11346875
transcript.pyannote[1455].speaker SPEAKER_10
transcript.pyannote[1455].start 8544.14721875
transcript.pyannote[1455].end 8549.47971875
transcript.pyannote[1456].speaker SPEAKER_08
transcript.pyannote[1456].start 8549.76659375
transcript.pyannote[1456].end 8555.79096875
transcript.pyannote[1457].speaker SPEAKER_08
transcript.pyannote[1457].start 8555.82471875
transcript.pyannote[1457].end 8556.22971875
transcript.pyannote[1458].speaker SPEAKER_08
transcript.pyannote[1458].start 8557.25909375
transcript.pyannote[1458].end 8557.96784375
transcript.pyannote[1459].speaker SPEAKER_10
transcript.pyannote[1459].start 8557.96784375
transcript.pyannote[1459].end 8559.68909375
transcript.pyannote[1460].speaker SPEAKER_08
transcript.pyannote[1460].start 8559.68909375
transcript.pyannote[1460].end 8559.79034375
transcript.pyannote[1461].speaker SPEAKER_10
transcript.pyannote[1461].start 8559.79034375
transcript.pyannote[1461].end 8567.48534375
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 8566.15221875
transcript.pyannote[1462].end 8576.29409375
transcript.pyannote[1463].speaker SPEAKER_06
transcript.pyannote[1463].start 8576.29409375
transcript.pyannote[1463].end 8576.69909375
transcript.pyannote[1464].speaker SPEAKER_08
transcript.pyannote[1464].start 8576.78346875
transcript.pyannote[1464].end 8577.62721875
transcript.pyannote[1465].speaker SPEAKER_08
transcript.pyannote[1465].start 8577.99846875
transcript.pyannote[1465].end 8588.57909375
transcript.pyannote[1466].speaker SPEAKER_08
transcript.pyannote[1466].start 8588.98409375
transcript.pyannote[1466].end 8589.03471875
transcript.pyannote[1467].speaker SPEAKER_10
transcript.pyannote[1467].start 8589.03471875
transcript.pyannote[1467].end 8599.69971875
transcript.pyannote[1468].speaker SPEAKER_08
transcript.pyannote[1468].start 8598.36659375
transcript.pyannote[1468].end 8619.44346875
transcript.pyannote[1469].speaker SPEAKER_10
transcript.pyannote[1469].start 8616.42284375
transcript.pyannote[1469].end 8618.17784375
transcript.pyannote[1470].speaker SPEAKER_10
transcript.pyannote[1470].start 8619.25784375
transcript.pyannote[1470].end 8619.40971875
transcript.pyannote[1471].speaker SPEAKER_10
transcript.pyannote[1471].start 8619.44346875
transcript.pyannote[1471].end 8623.18971875
transcript.pyannote[1472].speaker SPEAKER_10
transcript.pyannote[1472].start 8623.83096875
transcript.pyannote[1472].end 8623.84784375
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 8623.84784375
transcript.pyannote[1473].end 8624.23596875
transcript.pyannote[1474].speaker SPEAKER_08
transcript.pyannote[1474].start 8624.77596875
transcript.pyannote[1474].end 8628.37034375
transcript.pyannote[1475].speaker SPEAKER_08
transcript.pyannote[1475].start 8628.87659375
transcript.pyannote[1475].end 8630.31096875
transcript.pyannote[1476].speaker SPEAKER_06
transcript.pyannote[1476].start 8628.94409375
transcript.pyannote[1476].end 8630.44596875
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 8631.40784375
transcript.pyannote[1477].end 8643.52409375
transcript.pyannote[1478].speaker SPEAKER_08
transcript.pyannote[1478].start 8643.92909375
transcript.pyannote[1478].end 8646.00471875
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 8646.08909375
transcript.pyannote[1479].end 8671.78971875
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 8671.99221875
transcript.pyannote[1480].end 8672.48159375
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 8672.48159375
transcript.pyannote[1481].end 8672.53221875
transcript.pyannote[1482].speaker SPEAKER_12
transcript.pyannote[1482].start 8672.53221875
transcript.pyannote[1482].end 8672.81909375
transcript.pyannote[1483].speaker SPEAKER_06
transcript.pyannote[1483].start 8672.81909375
transcript.pyannote[1483].end 8672.86971875
transcript.pyannote[1484].speaker SPEAKER_12
transcript.pyannote[1484].start 8677.64534375
transcript.pyannote[1484].end 8680.95284375
transcript.pyannote[1485].speaker SPEAKER_00
transcript.pyannote[1485].start 8686.38659375
transcript.pyannote[1485].end 8688.15846875
transcript.pyannote[1486].speaker SPEAKER_00
transcript.pyannote[1486].start 8688.27659375
transcript.pyannote[1486].end 8688.96846875
transcript.pyannote[1487].speaker SPEAKER_12
transcript.pyannote[1487].start 8688.96846875
transcript.pyannote[1487].end 8689.03596875
transcript.pyannote[1488].speaker SPEAKER_00
transcript.pyannote[1488].start 8689.03596875
transcript.pyannote[1488].end 8689.22159375
transcript.pyannote[1489].speaker SPEAKER_12
transcript.pyannote[1489].start 8689.22159375
transcript.pyannote[1489].end 8689.23846875
transcript.pyannote[1490].speaker SPEAKER_00
transcript.pyannote[1490].start 8689.23846875
transcript.pyannote[1490].end 8689.27221875
transcript.pyannote[1491].speaker SPEAKER_12
transcript.pyannote[1491].start 8689.27221875
transcript.pyannote[1491].end 8689.33971875
transcript.pyannote[1492].speaker SPEAKER_00
transcript.pyannote[1492].start 8689.33971875
transcript.pyannote[1492].end 8689.39034375
transcript.pyannote[1493].speaker SPEAKER_00
transcript.pyannote[1493].start 8695.17846875
transcript.pyannote[1493].end 8695.83659375
transcript.pyannote[1494].speaker SPEAKER_00
transcript.pyannote[1494].start 8695.93784375
transcript.pyannote[1494].end 8697.27096875
transcript.pyannote[1495].speaker SPEAKER_00
transcript.pyannote[1495].start 8697.77721875
transcript.pyannote[1495].end 8699.21159375
transcript.pyannote[1496].speaker SPEAKER_00
transcript.pyannote[1496].start 8699.48159375
transcript.pyannote[1496].end 8700.78096875
transcript.pyannote[1497].speaker SPEAKER_00
transcript.pyannote[1497].start 8701.42221875
transcript.pyannote[1497].end 8702.87346875
transcript.pyannote[1498].speaker SPEAKER_00
transcript.pyannote[1498].start 8703.59909375
transcript.pyannote[1498].end 8707.26096875
transcript.pyannote[1499].speaker SPEAKER_00
transcript.pyannote[1499].start 8707.90221875
transcript.pyannote[1499].end 8717.70659375
transcript.pyannote[1500].speaker SPEAKER_00
transcript.pyannote[1500].start 8718.58409375
transcript.pyannote[1500].end 8720.74409375
transcript.pyannote[1501].speaker SPEAKER_00
transcript.pyannote[1501].start 8721.30096875
transcript.pyannote[1501].end 8724.37221875
transcript.pyannote[1502].speaker SPEAKER_00
transcript.pyannote[1502].start 8725.11471875
transcript.pyannote[1502].end 8726.21159375
transcript.pyannote[1503].speaker SPEAKER_00
transcript.pyannote[1503].start 8726.98784375
transcript.pyannote[1503].end 8727.51096875
transcript.pyannote[1504].speaker SPEAKER_00
transcript.pyannote[1504].start 8728.47284375
transcript.pyannote[1504].end 8729.29971875
transcript.pyannote[1505].speaker SPEAKER_00
transcript.pyannote[1505].start 8729.48534375
transcript.pyannote[1505].end 8730.07596875
transcript.pyannote[1506].speaker SPEAKER_00
transcript.pyannote[1506].start 8731.29096875
transcript.pyannote[1506].end 8731.93221875
transcript.pyannote[1507].speaker SPEAKER_00
transcript.pyannote[1507].start 8732.72534375
transcript.pyannote[1507].end 8735.18909375
transcript.pyannote[1508].speaker SPEAKER_00
transcript.pyannote[1508].start 8736.65721875
transcript.pyannote[1508].end 8745.53346875
transcript.pyannote[1509].speaker SPEAKER_00
transcript.pyannote[1509].start 8746.15784375
transcript.pyannote[1509].end 8760.63659375
transcript.pyannote[1510].speaker SPEAKER_00
transcript.pyannote[1510].start 8761.66596875
transcript.pyannote[1510].end 8762.35784375
transcript.pyannote[1511].speaker SPEAKER_00
transcript.pyannote[1511].start 8762.59409375
transcript.pyannote[1511].end 8766.98159375
transcript.pyannote[1512].speaker SPEAKER_00
transcript.pyannote[1512].start 8767.80846875
transcript.pyannote[1512].end 8768.04471875
transcript.pyannote[1513].speaker SPEAKER_00
transcript.pyannote[1513].start 8768.23034375
transcript.pyannote[1513].end 8771.20034375
transcript.pyannote[1514].speaker SPEAKER_00
transcript.pyannote[1514].start 8771.70659375
transcript.pyannote[1514].end 8784.16034375
transcript.pyannote[1515].speaker SPEAKER_00
transcript.pyannote[1515].start 8784.91971875
transcript.pyannote[1515].end 8787.06284375
transcript.pyannote[1516].speaker SPEAKER_00
transcript.pyannote[1516].start 8787.73784375
transcript.pyannote[1516].end 8798.97659375
transcript.pyannote[1517].speaker SPEAKER_00
transcript.pyannote[1517].start 8799.49971875
transcript.pyannote[1517].end 8800.41096875
transcript.pyannote[1518].speaker SPEAKER_00
transcript.pyannote[1518].start 8800.59659375
transcript.pyannote[1518].end 8826.36471875
transcript.pyannote[1519].speaker SPEAKER_00
transcript.pyannote[1519].start 8826.98909375
transcript.pyannote[1519].end 8827.69784375
transcript.pyannote[1520].speaker SPEAKER_00
transcript.pyannote[1520].start 8828.67659375
transcript.pyannote[1520].end 8828.82846875
transcript.pyannote[1521].speaker SPEAKER_00
transcript.pyannote[1521].start 8829.11534375
transcript.pyannote[1521].end 8829.94221875
transcript.pyannote[1522].speaker SPEAKER_00
transcript.pyannote[1522].start 8830.34721875
transcript.pyannote[1522].end 8830.98846875
transcript.pyannote[1523].speaker SPEAKER_00
transcript.pyannote[1523].start 8831.76471875
transcript.pyannote[1523].end 8832.94596875
transcript.pyannote[1524].speaker SPEAKER_00
transcript.pyannote[1524].start 8833.36784375
transcript.pyannote[1524].end 8834.56596875
transcript.pyannote[1525].speaker SPEAKER_00
transcript.pyannote[1525].start 8835.02159375
transcript.pyannote[1525].end 8837.19846875
transcript.pyannote[1526].speaker SPEAKER_00
transcript.pyannote[1526].start 8837.77221875
transcript.pyannote[1526].end 8846.00721875
transcript.pyannote[1527].speaker SPEAKER_00
transcript.pyannote[1527].start 8847.17159375
transcript.pyannote[1527].end 8848.26846875
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 8849.04471875
transcript.pyannote[1528].end 8855.49096875
transcript.pyannote[1529].speaker SPEAKER_00
transcript.pyannote[1529].start 8857.14471875
transcript.pyannote[1529].end 8861.39721875
transcript.pyannote[1530].speaker SPEAKER_00
transcript.pyannote[1530].start 8861.95409375
transcript.pyannote[1530].end 8863.59096875
transcript.pyannote[1531].speaker SPEAKER_00
transcript.pyannote[1531].start 8864.55284375
transcript.pyannote[1531].end 8865.24471875
transcript.pyannote[1532].speaker SPEAKER_00
transcript.pyannote[1532].start 8866.37534375
transcript.pyannote[1532].end 8868.61971875
transcript.pyannote[1533].speaker SPEAKER_00
transcript.pyannote[1533].start 8869.53096875
transcript.pyannote[1533].end 8871.58971875
transcript.pyannote[1534].speaker SPEAKER_00
transcript.pyannote[1534].start 8872.73721875
transcript.pyannote[1534].end 8879.70659375
transcript.pyannote[1535].speaker SPEAKER_00
transcript.pyannote[1535].start 8880.17909375
transcript.pyannote[1535].end 8885.89971875
transcript.pyannote[1536].speaker SPEAKER_00
transcript.pyannote[1536].start 8886.28784375
transcript.pyannote[1536].end 8888.66721875
transcript.pyannote[1537].speaker SPEAKER_00
transcript.pyannote[1537].start 8888.80221875
transcript.pyannote[1537].end 8890.01721875
transcript.pyannote[1538].speaker SPEAKER_00
transcript.pyannote[1538].start 8890.23659375
transcript.pyannote[1538].end 8895.19784375
transcript.pyannote[1539].speaker SPEAKER_00
transcript.pyannote[1539].start 8896.39596875
transcript.pyannote[1539].end 8896.91909375
transcript.pyannote[1540].speaker SPEAKER_00
transcript.pyannote[1540].start 8897.74596875
transcript.pyannote[1540].end 8898.26909375
transcript.pyannote[1541].speaker SPEAKER_00
transcript.pyannote[1541].start 8898.96096875
transcript.pyannote[1541].end 8900.07471875
transcript.pyannote[1542].speaker SPEAKER_00
transcript.pyannote[1542].start 8900.19284375
transcript.pyannote[1542].end 8902.62284375
transcript.pyannote[1543].speaker SPEAKER_00
transcript.pyannote[1543].start 8904.22596875
transcript.pyannote[1543].end 8904.58034375
transcript.pyannote[1544].speaker SPEAKER_00
transcript.pyannote[1544].start 8905.42409375
transcript.pyannote[1544].end 8907.04409375
transcript.pyannote[1545].speaker SPEAKER_00
transcript.pyannote[1545].start 8907.95534375
transcript.pyannote[1545].end 8908.20846875
transcript.pyannote[1546].speaker SPEAKER_00
transcript.pyannote[1546].start 8909.28846875
transcript.pyannote[1546].end 8912.10659375
transcript.pyannote[1547].speaker SPEAKER_00
transcript.pyannote[1547].start 8913.35534375
transcript.pyannote[1547].end 8914.57034375
transcript.pyannote[1548].speaker SPEAKER_00
transcript.pyannote[1548].start 8915.73471875
transcript.pyannote[1548].end 8919.02534375
transcript.pyannote[1549].speaker SPEAKER_00
transcript.pyannote[1549].start 8920.03784375
transcript.pyannote[1549].end 8925.65721875
transcript.pyannote[1550].speaker SPEAKER_00
transcript.pyannote[1550].start 8926.72034375
transcript.pyannote[1550].end 8932.57596875
transcript.pyannote[1551].speaker SPEAKER_00
transcript.pyannote[1551].start 8933.04846875
transcript.pyannote[1551].end 8934.11159375
transcript.pyannote[1552].speaker SPEAKER_00
transcript.pyannote[1552].start 8934.78659375
transcript.pyannote[1552].end 8938.71846875
transcript.pyannote[1553].speaker SPEAKER_00
transcript.pyannote[1553].start 8939.25846875
transcript.pyannote[1553].end 8939.83221875
transcript.pyannote[1554].speaker SPEAKER_00
transcript.pyannote[1554].start 8940.72659375
transcript.pyannote[1554].end 8942.12721875
transcript.pyannote[1555].speaker SPEAKER_00
transcript.pyannote[1555].start 8942.98784375
transcript.pyannote[1555].end 8948.57346875
transcript.pyannote[1556].speaker SPEAKER_00
transcript.pyannote[1556].start 8949.24846875
transcript.pyannote[1556].end 8956.65659375
transcript.pyannote[1557].speaker SPEAKER_00
transcript.pyannote[1557].start 8957.51721875
transcript.pyannote[1557].end 8961.26346875
transcript.pyannote[1558].speaker SPEAKER_00
transcript.pyannote[1558].start 8961.43221875
transcript.pyannote[1558].end 8970.98346875
transcript.pyannote[1559].speaker SPEAKER_00
transcript.pyannote[1559].start 8971.77659375
transcript.pyannote[1559].end 8973.29534375
transcript.pyannote[1560].speaker SPEAKER_00
transcript.pyannote[1560].start 8973.83534375
transcript.pyannote[1560].end 8975.28659375
transcript.pyannote[1561].speaker SPEAKER_00
transcript.pyannote[1561].start 8975.65784375
transcript.pyannote[1561].end 8976.72096875
transcript.pyannote[1562].speaker SPEAKER_00
transcript.pyannote[1562].start 8977.83471875
transcript.pyannote[1562].end 8978.30721875
transcript.pyannote[1563].speaker SPEAKER_00
transcript.pyannote[1563].start 8979.42096875
transcript.pyannote[1563].end 8980.78784375
transcript.pyannote[1564].speaker SPEAKER_00
transcript.pyannote[1564].start 8981.47971875
transcript.pyannote[1564].end 8983.16721875
transcript.pyannote[1565].speaker SPEAKER_00
transcript.pyannote[1565].start 8984.29784375
transcript.pyannote[1565].end 8987.53784375
transcript.pyannote[1566].speaker SPEAKER_00
transcript.pyannote[1566].start 8987.97659375
transcript.pyannote[1566].end 8989.17471875
transcript.pyannote[1567].speaker SPEAKER_00
transcript.pyannote[1567].start 8990.25471875
transcript.pyannote[1567].end 8991.46971875
transcript.pyannote[1568].speaker SPEAKER_00
transcript.pyannote[1568].start 8991.72284375
transcript.pyannote[1568].end 8996.49846875
transcript.pyannote[1569].speaker SPEAKER_00
transcript.pyannote[1569].start 8997.25784375
transcript.pyannote[1569].end 9001.22346875
transcript.pyannote[1570].speaker SPEAKER_00
transcript.pyannote[1570].start 9002.25284375
transcript.pyannote[1570].end 9006.91034375
transcript.pyannote[1571].speaker SPEAKER_00
transcript.pyannote[1571].start 9007.50096875
transcript.pyannote[1571].end 9009.44159375
transcript.pyannote[1572].speaker SPEAKER_00
transcript.pyannote[1572].start 9010.18409375
transcript.pyannote[1572].end 9010.55534375
transcript.pyannote[1573].speaker SPEAKER_00
transcript.pyannote[1573].start 9010.84221875
transcript.pyannote[1573].end 9032.23971875
transcript.pyannote[1574].speaker SPEAKER_00
transcript.pyannote[1574].start 9032.49284375
transcript.pyannote[1574].end 9037.21784375
transcript.pyannote[1575].speaker SPEAKER_00
transcript.pyannote[1575].start 9038.28096875
transcript.pyannote[1575].end 9039.10784375
transcript.pyannote[1576].speaker SPEAKER_00
transcript.pyannote[1576].start 9039.69846875
transcript.pyannote[1576].end 9040.10346875
transcript.pyannote[1577].speaker SPEAKER_00
transcript.pyannote[1577].start 9040.74471875
transcript.pyannote[1577].end 9043.37721875
transcript.pyannote[1578].speaker SPEAKER_00
transcript.pyannote[1578].start 9043.81596875
transcript.pyannote[1578].end 9046.65096875
transcript.pyannote[1579].speaker SPEAKER_00
transcript.pyannote[1579].start 9047.02221875
transcript.pyannote[1579].end 9048.97971875
transcript.pyannote[1580].speaker SPEAKER_00
transcript.pyannote[1580].start 9049.36784375
transcript.pyannote[1580].end 9055.76346875
transcript.pyannote[1581].speaker SPEAKER_00
transcript.pyannote[1581].start 9056.97846875
transcript.pyannote[1581].end 9057.85596875
transcript.pyannote[1582].speaker SPEAKER_00
transcript.pyannote[1582].start 9058.15971875
transcript.pyannote[1582].end 9058.90221875
transcript.pyannote[1583].speaker SPEAKER_00
transcript.pyannote[1583].start 9059.34096875
transcript.pyannote[1583].end 9060.74159375
transcript.pyannote[1584].speaker SPEAKER_00
transcript.pyannote[1584].start 9060.96096875
transcript.pyannote[1584].end 9061.65284375
transcript.pyannote[1585].speaker SPEAKER_00
transcript.pyannote[1585].start 9062.53034375
transcript.pyannote[1585].end 9071.22096875
transcript.pyannote[1586].speaker SPEAKER_00
transcript.pyannote[1586].start 9071.81159375
transcript.pyannote[1586].end 9074.74784375
transcript.pyannote[1587].speaker SPEAKER_00
transcript.pyannote[1587].start 9075.47346875
transcript.pyannote[1587].end 9082.61159375
transcript.pyannote[1588].speaker SPEAKER_00
transcript.pyannote[1588].start 9082.99971875
transcript.pyannote[1588].end 9104.02596875
transcript.pyannote[1589].speaker SPEAKER_00
transcript.pyannote[1589].start 9104.75159375
transcript.pyannote[1589].end 9105.56159375
transcript.pyannote[1590].speaker SPEAKER_00
transcript.pyannote[1590].start 9106.52346875
transcript.pyannote[1590].end 9112.37909375
transcript.pyannote[1591].speaker SPEAKER_00
transcript.pyannote[1591].start 9112.51409375
transcript.pyannote[1591].end 9115.46721875
transcript.pyannote[1592].speaker SPEAKER_00
transcript.pyannote[1592].start 9115.65284375
transcript.pyannote[1592].end 9118.58909375
transcript.pyannote[1593].speaker SPEAKER_00
transcript.pyannote[1593].start 9118.97721875
transcript.pyannote[1593].end 9139.85159375
transcript.pyannote[1594].speaker SPEAKER_00
transcript.pyannote[1594].start 9140.52659375
transcript.pyannote[1594].end 9144.77909375
transcript.pyannote[1595].speaker SPEAKER_00
transcript.pyannote[1595].start 9145.79159375
transcript.pyannote[1595].end 9199.58909375
transcript.pyannote[1596].speaker SPEAKER_00
transcript.pyannote[1596].start 9199.72409375
transcript.pyannote[1596].end 9200.58471875
transcript.pyannote[1597].speaker SPEAKER_00
transcript.pyannote[1597].start 9200.83784375
transcript.pyannote[1597].end 9230.18346875
transcript.pyannote[1598].speaker SPEAKER_00
transcript.pyannote[1598].start 9230.35221875
transcript.pyannote[1598].end 9241.91159375
transcript.pyannote[1599].speaker SPEAKER_00
transcript.pyannote[1599].start 9242.53596875
transcript.pyannote[1599].end 9246.75471875
transcript.pyannote[1600].speaker SPEAKER_00
transcript.pyannote[1600].start 9247.51409375
transcript.pyannote[1600].end 9261.80721875
transcript.pyannote[1601].speaker SPEAKER_00
transcript.pyannote[1601].start 9262.31346875
transcript.pyannote[1601].end 9263.93346875
transcript.pyannote[1602].speaker SPEAKER_00
transcript.pyannote[1602].start 9264.69284375
transcript.pyannote[1602].end 9272.62409375
transcript.pyannote[1603].speaker SPEAKER_00
transcript.pyannote[1603].start 9273.24846875
transcript.pyannote[1603].end 9282.71534375
transcript.pyannote[1604].speaker SPEAKER_00
transcript.pyannote[1604].start 9282.96846875
transcript.pyannote[1604].end 9288.77346875
transcript.pyannote[1605].speaker SPEAKER_00
transcript.pyannote[1605].start 9289.41471875
transcript.pyannote[1605].end 9295.92846875
transcript.pyannote[1606].speaker SPEAKER_00
transcript.pyannote[1606].start 9296.43471875
transcript.pyannote[1606].end 9297.61596875
transcript.pyannote[1607].speaker SPEAKER_00
transcript.pyannote[1607].start 9297.98721875
transcript.pyannote[1607].end 9298.32471875
transcript.pyannote[1608].speaker SPEAKER_00
transcript.pyannote[1608].start 9298.78034375
transcript.pyannote[1608].end 9299.57346875
transcript.pyannote[1609].speaker SPEAKER_00
transcript.pyannote[1609].start 9300.45096875
transcript.pyannote[1609].end 9301.19346875
transcript.pyannote[1610].speaker SPEAKER_00
transcript.pyannote[1610].start 9301.63221875
transcript.pyannote[1610].end 9303.06659375
transcript.pyannote[1611].speaker SPEAKER_00
transcript.pyannote[1611].start 9303.57284375
transcript.pyannote[1611].end 9337.40721875
transcript.pyannote[1612].speaker SPEAKER_10
transcript.pyannote[1612].start 9338.38596875
transcript.pyannote[1612].end 9439.45034375
transcript.pyannote[1613].speaker SPEAKER_00
transcript.pyannote[1613].start 9439.88909375
transcript.pyannote[1613].end 9444.44534375
transcript.pyannote[1614].speaker SPEAKER_10
transcript.pyannote[1614].start 9444.15846875
transcript.pyannote[1614].end 9446.23409375
transcript.pyannote[1615].speaker SPEAKER_00
transcript.pyannote[1615].start 9445.47471875
transcript.pyannote[1615].end 9449.71034375
transcript.pyannote[1616].speaker SPEAKER_10
transcript.pyannote[1616].start 9449.22096875
transcript.pyannote[1616].end 9449.64284375
transcript.pyannote[1617].speaker SPEAKER_10
transcript.pyannote[1617].start 9449.71034375
transcript.pyannote[1617].end 9449.92971875
transcript.pyannote[1618].speaker SPEAKER_00
transcript.pyannote[1618].start 9449.89596875
transcript.pyannote[1618].end 9449.94659375
transcript.pyannote[1619].speaker SPEAKER_10
transcript.pyannote[1619].start 9449.94659375
transcript.pyannote[1619].end 9450.19971875
transcript.pyannote[1620].speaker SPEAKER_00
transcript.pyannote[1620].start 9450.06471875
transcript.pyannote[1620].end 9457.59096875
transcript.pyannote[1621].speaker SPEAKER_12
transcript.pyannote[1621].start 9451.98846875
transcript.pyannote[1621].end 9452.00534375
transcript.pyannote[1622].speaker SPEAKER_10
transcript.pyannote[1622].start 9452.00534375
transcript.pyannote[1622].end 9452.96721875
transcript.pyannote[1623].speaker SPEAKER_12
transcript.pyannote[1623].start 9452.96721875
transcript.pyannote[1623].end 9458.04659375
transcript.pyannote[1624].speaker SPEAKER_12
transcript.pyannote[1624].start 9463.10909375
transcript.pyannote[1624].end 9463.34534375
transcript.pyannote[1625].speaker SPEAKER_12
transcript.pyannote[1625].start 9463.63221875
transcript.pyannote[1625].end 9468.82971875
transcript.whisperx[0].start 1914.714
transcript.whisperx[0].end 1918.477
transcript.whisperx[0].text 請準備報告初期委員人數。現在開始開會。現在開始開會。請議事人員宣讀上次會議思路。
transcript.whisperx[1].start 1939.861
transcript.whisperx[1].end 1968.714
transcript.whisperx[1].text 立法院第11屆第1會期財政委員會第12次全體委員會議事務時間中華民國113年5月15日星期三90至12時55分中華民國113年5月16日星期四92分至13時18分主席委員郭國文等14人列席委員鍾佳斌等9人列席官員113年5月15日星期三經常監督管理委員會主任委員黃天牧等113年5月16日星期四財政部部長莊翠穎等主席郭昭吉委員郭文
transcript.whisperx[2].start 1970.034
transcript.whisperx[2].end 1993.652
transcript.whisperx[2].text 113年5月15日報告事項宣讀上次會議議事錄決定議事錄確定討論事項依繼續審查《證券投資信託及顧問法》3案依行政院行刑審議本院委員郭國文等16人擬具《證券投資信託及顧問法》部分條文修正草案等2案而本院委員林楚英等17人擬具《證券投資信託及顧問法》第一條、第二條及第三條之一條文修正草案案。決議依併案審查結果
transcript.whisperx[3].start 1995.754
transcript.whisperx[3].end 2012.487
transcript.whisperx[3].text 以法案名稱徵定第二章之一章名、第四章章名、徵定第二節之一章名均照行政院提案通過。二、第一條、第二條、徵定第三條之一補充律法說明。第六條、第七條、第八條、徵定第49條之一、徵定第49條之二、徵定第49條之四
transcript.whisperx[4].start 2015.649
transcript.whisperx[4].end 2025.435
transcript.whisperx[4].text 正定第49條之5、正定第49條之6、正定第49條之7、正定第49條之8、正定第49條之9、正定第49條之10、正定第49條之12、正定第49條之13、正定第49條之16、正定第49條之17、正定第49條之18、正定第49條之20、第63條、第66條、第67條、第68條、第69條、第70條、第70條之1、第71條、第72條、第74條
transcript.whisperx[5].start 2043.906
transcript.whisperx[5].end 2051.152
transcript.whisperx[5].text 徵定第82條之一、徵定第82條之二、徵定第82條之三、徵定第82條之四、徵定第82條之五、第84條、第87條、第94條、第100條、第101條、第104條、徵定第104條之一、第105條、第105條之一
transcript.whisperx[6].start 2060.62
transcript.whisperx[6].end 2063.142
transcript.whisperx[6].text 第106條、第107條、第108條、第112條、第113條、第114條、第115條、增定第117條之一,刪除第121條、刪除第122條,均照行政案提案通過。五。
transcript.whisperx[7].start 2075.871
transcript.whisperx[7].end 2105.234
transcript.whisperx[7].text 三、第五條、增定第49條之三、增定第49條之十一、增定第49條之十四、增定第49條之十五、增定第49條之十九、第111條均保留送院會處理。二、本案審查文具擬具並按擬具審查報告提報院會討論。院會討論前需叫黨團協商。院會討論時由郭昭基委員、郭文補充說明。二、繼續審查本院委員郭國文等16人擬具。不當場證券化條例部分條文修正草案案。決議一、審查結果。
transcript.whisperx[8].start 2105.794
transcript.whisperx[8].end 2123.543
transcript.whisperx[8].text 以第四條照委員郭國文等三人修正動議通過,第一項第一款橋樑修正為橋樑,第三款修正為山,不動產相關有價證券只經主管機關合併準以投資之不動產證券化商品或金融資產證券化商品,刪除第18條其餘同現行法
transcript.whisperx[9].start 2124.622
transcript.whisperx[9].end 2151.348
transcript.whisperx[9].text 二、第六條趙委員、郭國文等三人修正動議通過。針列第六項為受託機構申請或申報募集或私募不動產投資信託、收益證券時有不確定之投資標的者相關申請書件應載明之項目及其他應遵行事項之辦法由主管機關定之追加募集者亦同其亦同行刑法。三、第二十二條趙委員、郭國文等三人修正動議通過。第一項後段修正為估價報告師並應於
transcript.whisperx[10].start 2153.388
transcript.whisperx[10].end 2180.665
transcript.whisperx[10].text 估價報告書並應於事實發生之日起二日內與受託機構本機構所在地之日報或依主管機關規定之方式辦理公告第三項第三款修正為三專業估價者及其估價人員應與交易當事人無國際會計準則第24條所定第24條所定之關係人或實質關係人之情事刪除第四項其一同現行法是第8條第26條第31條君兆文郭國文等16人提案通過
transcript.whisperx[11].start 2181.765
transcript.whisperx[11].end 2193.354
transcript.whisperx[11].text 第17條保留送院會處理第9條及第19條均維持現行條文其增訂第25條之一不予採納。全案審查完畢。擬具審查報告提報院會討論。院會討論前需交由黨團協商。院會討論時由郭昭君國文補充說明。
transcript.whisperx[12].start 2198.177
transcript.whisperx[12].end 2224.791
transcript.whisperx[12].text 113年5月16日討論事項審查行政院含情審議海關進口稅責部分稅責修正草案案。經財政部政務次長阮清華就行政院提案報告後,具有委員林大夫等14人提出質詢,均經財政部部長莊穗穎等予以說明及答覆。委員羅明才所提書面補充資料,列入記錄刊登公報,並請相關部會予書面答覆。委員質詢未及答覆或請補充資訊,請相關部會予一周內予書面答覆。委員亦要求其縣者從其所定。決議。
transcript.whisperx[13].start 2226.132
transcript.whisperx[13].end 2244.951
transcript.whisperx[13].text 照行政院提案通過二、審查環境擬具審查報告提報院會討論院會討論前不須交由黨團協商院會討論時由郭昭吉文、郭文補充說明宣布完畢請問議事部有異議沒有異議議事部確定請議事人宣讀今日議程
transcript.whisperx[14].start 2246.181
transcript.whisperx[14].end 2274.287
transcript.whisperx[14].text 部分條件修正草案等5案。」三、本院委員吳立華等17人擬具:「財政收支劃分法第三條條件修正草案案。」四、本院委員陳玉珍等24人擬具:「財政收支劃分法部分條件修正草案等5案。」五、本院委員吳立華等17人擬具:「財政收支劃分法第三條條件修正草案案。」四、本院委員陳玉珍等24人擬具:「財政收支劃分法
transcript.whisperx[15].start 2274.747
transcript.whisperx[15].end 2295.588
transcript.whisperx[15].text 第8條條文修正草案案。五、本院委員王鴻薇等24人擬具財政收支劃分法第8條、第12條及第30條條文修正草案案。六、本院委員陳昌明等17人擬具財政收支劃分法第8條、第12條及第16條之一條文修正草案案。七、本院委員賴銳榮等16人、委員蔡依儀等16人分別擬具財政收支劃分法第16條之一
transcript.whisperx[16].start 2297.069
transcript.whisperx[16].end 2313.843
transcript.whisperx[16].text 條文修正草案等二案。把本院委員賴世保等29人擬具《財政收支劃分法》第16條之二、第37條之二及第38條之二條文修正草案案。九本院委員賴世保等22人擬具《財政收支劃分法》第38條之一條文修正草案案。宣讀完畢。介紹現場 洪孟楷 洪委員林德福 林委員
transcript.whisperx[17].start 2326.839
transcript.whisperx[17].end 2343.474
transcript.whisperx[17].text 黃珊珊、黃委員陳超明、陳委員邱若驊、邱委員吳秉瑞、吳委員賴仕寶、賴委員介紹財政部莊翠雲部長法制處專門委員謝志玲
transcript.whisperx[18].start 2355.113
transcript.whisperx[18].end 2383.912
transcript.whisperx[18].text 國務署署長陳柏澄復稅署署長宋秀琳官務署署長彭英偉國有財產署署長曾國基城鎮資訊中心主任張文希行政院主計總署副主計長陳慧娟公務預算處署長徐永毅
transcript.whisperx[19].start 2387.253
transcript.whisperx[19].end 2409.291
transcript.whisperx[19].text 內政部明政司檢任視察檢譽金國土管理署檢任政工程師蔡育滿國家發展委員會經濟發展處專委郭永騰原住民族委員會綜合規劃處專門委員曾興忠
transcript.whisperx[20].start 2414.438
transcript.whisperx[20].end 2437.572
transcript.whisperx[20].text 環境部會計處處長陳敬興法部參事林豐文台北市政府財政局專委周淑慧台北市政府財政局副局長黃玉敏
transcript.whisperx[21].start 2441.286
transcript.whisperx[21].end 2458.687
transcript.whisperx[21].text 市政府主計處專門委員張英惠各縣市都有派人來是不是請大家參閱一下名單因為這個名單非常多包括
transcript.whisperx[22].start 2460.08
transcript.whisperx[22].end 2479.758
transcript.whisperx[22].text 桃園、台中、台南、高雄、新竹、苗栗、南投、彰化、雲林、嘉義、屏東、宜蘭、花蓮、台東、澎湖、金門、連江縣、基隆市、新竹市、嘉義市等,歡迎介紹羅廷偉羅委員陳玉珍陳委員
transcript.whisperx[23].start 2492.108
transcript.whisperx[23].end 2493.629
transcript.whisperx[23].text 部分條文修正草案等五案。」第三條條文修正草案
transcript.whisperx[24].start 2523.133
transcript.whisperx[24].end 2529.139
transcript.whisperx[24].text 第8條條文修正草案案。五、委員王宏威等24人擬具《財政收支劃分法》第8條、第12條、第30條條文修正草案案。
transcript.whisperx[25].start 2542.599
transcript.whisperx[25].end 2558.094
transcript.whisperx[25].text 第8條、第12條及第16條之一條文修正草案案、七、委員賴瑞榮等16人、委員蔡奕宇等16人分別擬具《財政收支劃分法》第16條之一條文修正草案等二案
transcript.whisperx[26].start 2563.018
transcript.whisperx[26].end 2582.234
transcript.whisperx[26].text 第16條之二、第34條之二及第38條之二條文修正草案案。九、委員瀨世保等22人擬具《財政收支劃分法》第38條之一條文修正草案案。現在我們請提案黨團代表委員說明提案
transcript.whisperx[27].start 2583.629
transcript.whisperx[27].end 2609.867
transcript.whisperx[27].text 要職後再請財政部莊部長回應內容那因為先後資訊第一位請洪孟楷、洪委員順便提案要職主席以及我們各位現場的同仁還有我們今天各縣市以及中央官員首先我說
transcript.whisperx[28].start 2611.209
transcript.whisperx[28].end 2629.371
transcript.whisperx[28].text 今天要很沉重、嚴肅、誠懇地向執政的中央政府提出呼籲各縣市有很多辛苦不為人知就是在編預算的時候這種編不出的痛苦好像媽媽看著孩子嗷嗷待哺米缸裡卻是空著的心情
transcript.whisperx[29].start 2630.578
transcript.whisperx[29].end 2655.257
transcript.whisperx[29].text 還有我們也認為人應該生而平等在台灣卻因為出生在不同縣市而不公平不平等這種不平等還不是因為山川地理的限制而是因為中央主政者用制度用法令用資源分配所造成的不平等而且越來越不平等這些話不是我發明的
transcript.whisperx[30].start 2656.062
transcript.whisperx[30].end 2674.895
transcript.whisperx[30].text 這些話是2012年民眾黨黨主席蘇貞昌率同當時執政的縣市長包括今天就職的賴清德總統當時是台南市市長今天任命的潘孟安秘書長當時是民眾黨的黨團幹事長共同發出的聲明
transcript.whisperx[31].start 2681.311
transcript.whisperx[31].end 2708.421
transcript.whisperx[31].text 12年前民眾黨在野時候就幾乎要修正財務收支劃分法而當時用的理由到民眾黨執政8年過去完全不想動我們要問如果說當時時空背景環境各縣市在編列預算的時候如同嗷嗷待哺的兒子、小孩卻看到米缸沒有米的這個心情過去8年有沒有更加具有
transcript.whisperx[32].start 2709.261
transcript.whisperx[32].end 2731.142
transcript.whisperx[32].text 因為過去8年我們中央跟地方的收入比例越來越懸殊也因此在1999年財務劃分法修正之後到現在25年未修正我們今天好幾個黨團以及好幾位委員都提出修正的部分就是希望能夠回歸公平
transcript.whisperx[33].start 2732.099
transcript.whisperx[33].end 2748.321
transcript.whisperx[33].text 把過去中央跟地方能夠有不平等的地方給消滅再者現在我們財政委員會上面兩個大字國家至上人民眾第一也跟今天賴清德總統就職演說所講的
transcript.whisperx[34].start 2750.625
transcript.whisperx[34].end 2779.138
transcript.whisperx[34].text 國家優先人民第一是一樣的也因此我們說只要錢是用在我們台灣2350萬人身上無論是放在中央、無論是放在地方相信都可以做有合理的分配而地方政府在第一線面對民眾的需求相信一定更了解大家的需求也因此我們支持應該要回歸到常態所以今天本席以及國民黨黨團所提出相關版本
transcript.whisperx[35].start 2779.838
transcript.whisperx[35].end 2799.765
transcript.whisperx[35].text 就是希望把中央過去在財政收支劃分法裡面認為的60比40多出來的15%稅收還給地方再者也依照照顧弱勢及離島縣市保障基本需求、人人平等以及首都及金融重症保留款等四大原則來進行分配
transcript.whisperx[36].start 2800.445
transcript.whisperx[36].end 2813.203
transcript.whisperx[36].text 最後,我們也提出,修法後每個縣市所獲得的統籌非饋款金額較調整前都增加,有利於地方施政跟縮短城鄉差距。綜合以上幾點,我們懇請
transcript.whisperx[37].start 2815.746
transcript.whisperx[37].end 2840.098
transcript.whisperx[37].text 在場的所有委員同仁共同的來支持這一次我們所提出來的財務收支劃分法那並且也請中央跟地方不要堅持己見而好好聽到廣大的民意以及大家的需求來共同促成國約25年之後再一次修正的財劃法謝謝謝謝洪孟楷、洪委員
transcript.whisperx[38].start 2843.953
transcript.whisperx[38].end 2851.288
transcript.whisperx[38].text 第二位,請台灣民眾黨黨團代表黃珊珊、黃委員說明提案要旨
transcript.whisperx[39].start 2863.252
transcript.whisperx[39].end 2879.782
transcript.whisperx[39].text 提出的財政收支劃分法其實非常的全面我們也希望剛剛彭文凱委員所說的其實每個地方政府都有一樣的痛那財化法在19
transcript.whisperx[40].start 2881.883
transcript.whisperx[40].end 2901.377
transcript.whisperx[40].text 1999年、也就是25年前曾經修正過最後一次。25年來沒有再進一步的做任何修正。而且所有的相關的內容跟細項只有在去年的時候曾經立法院有提案要求財政部去徵詢各地方的意見。
transcript.whisperx[41].start 2902.658
transcript.whisperx[41].end 2918.206
transcript.whisperx[41].text 徵詢了一年,到現在還在徵詢所以民眾黨所提出的財法法沒有辦法在等待財政部繼續徵詢所以我們提出了三個重點第一個要擴大統籌分配稅款的規模也就是把柄做大
transcript.whisperx[42].start 2918.866
transcript.whisperx[42].end 2934.527
transcript.whisperx[42].text 第2個要穩定地方政府的財政紀律還有設置統籌分配稅款的分配委員會首先民眾黨團的版本擴大了統籌分配稅款的規模讓營業稅收入歸給地方政府
transcript.whisperx[43].start 2935.367
transcript.whisperx[43].end 2953.693
transcript.whisperx[43].text 將菸酒稅同步歸給地方政府。這個估計在民眾黨團的版本之下大概可以增加2700多億的統籌分配稅款透過地方政府給地方政府更多的資源可以強化地方政府不管他在財政紀律上還是他的建設經費上
transcript.whisperx[44].start 2955.799
transcript.whisperx[44].end 2974.63
transcript.whisperx[44].text 第2個部分強化地方政府的財政紀律我們希望透過統籌分配稅款優先彌補地方政府的財政基準需要還有財政基準收入的差額也就是說統籌分配稅款最重要的目的是來協助地方政府平衡他每一年的預算
transcript.whisperx[45].start 2975.43
transcript.whisperx[45].end 2994.64
transcript.whisperx[45].text 只有平衡預算才有餘力進行建設中央政府給予地方的補助才會更有意義也就是說不是讓地方政府仰賴中央的筆息第三個我們版本裡面設計了統籌分配稅款的分配委員會對於中央統籌分配稅款用來協助地方政府發展
transcript.whisperx[46].start 2996
transcript.whisperx[46].end 3021.737
transcript.whisperx[46].text 這地方建設的部分我們不希望中央政府繼續獨攬大權而是透過學者專家各地方政府的代表財政部的代表共同組成分配的委員會來決定分配稅款所以讓各個地方政府可以更有效的發揮地方不同的特色而且由委員會來針對給他適合的補助目前為止現在完全是由中央
transcript.whisperx[47].start 3023.378
transcript.whisperx[47].end 3049.818
transcript.whisperx[47].text 一意孤行,然後地方政府幾乎沒有任何發聲權力所以我們希望橫貧地方的發展差異還有給予各地方政府更多財政上的支援這是一個非常穩健長期的規範我們希望各地方政府的財政狀況可以同步穩定、改善我們也肯定召委儘速地排審我們也希望財政部在新政府能夠趕快提出
transcript.whisperx[48].start 3050.859
transcript.whisperx[48].end 3056.243
transcript.whisperx[48].text 久未見到的行政院版本。謝謝。謝謝黃先生、黃委員。好,第三位請陳超明、陳委員。
transcript.whisperx[49].start 3073.735
transcript.whisperx[49].end 3098.251
transcript.whisperx[49].text 今天本期提出財政收支劃分法第8條、第12條及第16條之一的修正草案在我提案說明以前請大家先看一個資料因為財政收支劃分法我在101年就開始提案了那放出來沒有
transcript.whisperx[50].start 3099.406
transcript.whisperx[50].end 3102.107
transcript.whisperx[50].text 全體委員會第11屆第1會期財政收支劃分法
transcript.whisperx[51].start 3116.038
transcript.whisperx[51].end 3134.936
transcript.whisperx[51].text 從95年到112年他繳了4147億那統籌分配款跟一般性的補助款在苗栗縣的補助才2022億那現在在第二章
transcript.whisperx[52].start 3139.605
transcript.whisperx[52].end 3144.587
transcript.whisperx[52].text 我們以三級的財政縣市來講苗栗縣創稅交給中央4147億我們只分到2022億嘉義縣
transcript.whisperx[53].start 3154.636
transcript.whisperx[53].end 3165.28
transcript.whisperx[53].text 他創稅963億他在統籌婚姻備款跟一般性的補助款他拿了2430億那講到屏東縣他交給中央的創稅是2627億中央補助給他3589億等於我曾經我給我兩千
transcript.whisperx[54].start 3180.326
transcript.whisperx[54].end 3193.103
transcript.whisperx[54].text 兩千幾億給你中用的但是我本料越來越少那嘉義跟屏東縣的話他創稅少但是他分出來的更多所以我覺得非常的不公平
transcript.whisperx[55].start 3194.434
transcript.whisperx[55].end 3216.799
transcript.whisperx[55].text 所以今天財政收支劃分法超過20年都沒有修正那分配的一個公式已經不合現在的狀況造成六都跟匯六都地區的發展日漸差異更大最重要的問題當我們地方政府努力放稅卻沒有得到應有的回饋
transcript.whisperx[56].start 3217.839
transcript.whisperx[56].end 3229.179
transcript.whisperx[56].text 也就是牟利的孩子我們要慚愧一次越牟利我分別的越少剛剛這張表已經了非常清楚所以在第8條、第12條、第16條之一
transcript.whisperx[57].start 3232.518
transcript.whisperx[57].end 3255.106
transcript.whisperx[57].text 我認真的一種建議就是財政收支劃分法應給予牟利造商正在發展的社會制更友善的一個對待所以提出我有提出財政收支劃分法修正有幾個重點擴大統籌分配稅款的來源這第一點第二點
transcript.whisperx[58].start 3255.806
transcript.whisperx[58].end 3267.322
transcript.whisperx[58].text 有19稅回饋在宣誓要提高他分配的比例因為三分鐘說明我只有簡單的講再來第三點土地中值稅應該歸給地方
transcript.whisperx[59].start 3269.738
transcript.whisperx[59].end 3296.666
transcript.whisperx[59].text 第四點新增的普通統籌分配款這個指標裡面要避免工廠在鄉村繳稅在都市這裡面的差異很大幾十年都忍受了我第一張表是從一百零一年開始做到現在一百一十二年每一次我在談每一次都講好每一次都沒有改進我們不要求多
transcript.whisperx[60].start 3297.881
transcript.whisperx[60].end 3312.955
transcript.whisperx[60].text 苗栗縣財政被控管,如果依照這個創稅的時候,你撥個300億、200億來補這一些差距,尤其這個差距看起來很令人傷心。我借兩成幾億,我本來那麼少錢,他們創稅少,他們借本那麼少錢。
transcript.whisperx[61].start 3315.663
transcript.whisperx[61].end 3343.283
transcript.whisperx[61].text 我覺得這個真的要改進我們要求不多給正在努力創稅的苗栗縣給他一個對待不然現在很可憐財政會被監管拜託你們財政部都很保守錢都不敢說多付給我們我只希望用這一條來跟你們談判就好我希望我們部長、各位委員多多支持要有合理分配的比例我們真的很努力啦沒有人說一直在創稅
transcript.whisperx[62].start 3345.084
transcript.whisperx[62].end 3349.206
transcript.whisperx[62].text 創的越多分的越少。我希望各位委員也支持這個談判。謝謝大家。
transcript.whisperx[63].start 3376.029
transcript.whisperx[63].end 3390.39
transcript.whisperx[63].text 各位官員各位委員我今天所提的跟陳昭明委員提的也是一樣的利潤基礎也是有關菸酒稅法我們今天也是創稅很多在菸酒稅的部分但是是沒有分得不夠
transcript.whisperx[64].start 3391.471
transcript.whisperx[64].end 3413.066
transcript.whisperx[64].text 我們金門早年非常的土地貧瘠現民的收入只有台灣地區的60%那民眾大概都是種植這個高粱跟小麥那後來我們設立金門酒廠42年設立金門酒廠但是不是那個時候就開始賣得很好金門縣政府有一陣子窮得沒有辦法發薪水只好發高粱酒那是到了民國91年以後
transcript.whisperx[65].start 3414.887
transcript.whisperx[65].end 3431.755
transcript.whisperx[65].text 才因為我們的品質越做越好所以才開始慢慢地有賺錢那大家就覺得說金門縣好像是比較有錢但是呢以前在91年菸酒新制以前大家都看到我一直在看國庫署署長91年以前我們每一瓶酒的賺賣力只要交51塊多到了實施菸酒新制後我們這個菸酒稅每一瓶0.6的要交111塊
transcript.whisperx[66].start 3440.379
transcript.whisperx[66].end 3453.946
transcript.whisperx[66].text 等於是我們的英九稅稅負增加了快將近60塊意思是說我們每一年呢就是多增加給光91年到95年間我們財政短收啦因為我們交給中央就短收了60幾億
transcript.whisperx[67].start 3455.647
transcript.whisperx[67].end 3474.794
transcript.whisperx[67].text 二、按照這個地方制度法的相關規定比如說有些東西比如說自來水這邊我也提過很多次自來水這些不是縣的自治事項但是我們金門縣自己有自來水廠所有的這個營運成本啊其他的增加的都是我們縣政府自行負擔比如說大家知道我們做一個金門大橋那在像新北金門大橋是金門大、金門道、小金門之間一個大橋
transcript.whisperx[68].start 3479.756
transcript.whisperx[68].end 3506.899
transcript.whisperx[68].text 新北的什麼淡江大橋、屏東的內灣、內澎灣的跨海大橋、澎湖的跨海大橋這些所有的營銷管理都是中央負擔但是金門縣的金門大橋是由我們金門縣政府這些管理都有我們全數負擔就是說有些地方這是不應該負擔的款項由我們金門的地方政府自己來負擔這個事實上也是非常的不公平所以呢我們在這裡其實今天的要求也不多本期所提出來的這個研究
transcript.whisperx[69].start 3509.081
transcript.whisperx[69].end 3525.334
transcript.whisperx[69].text 第8條修正也不是在跟你們爭取額外的錢只是說這個法案我們提出來這個第8條我們提出來是說希望呢就是把這個金馬地區的這個菸酒稅改為增期收入減除1%作為積增及查緝經費其他的80%分回來那這個我提出的這個法案
transcript.whisperx[70].start 3528.737
transcript.whisperx[70].end 3547.471
transcript.whisperx[70].text 跟這個行政院財政部不管是國民黨執政或是民進黨執政所提出的版本都一模一樣包括這一次的民進黨團的版本國民黨團的版本也都是完全一致的所以呢我了解本期了解說這個財政收支劃很困難垂直分配、水平分配都非常困難但是我們這一條呢事實上是
transcript.whisperx[71].start 3548.812
transcript.whisperx[71].end 3568.847
transcript.whisperx[71].text 相對單純,不管是各黨各派或是藍綠的各級政府,都是一直以來都是有這樣的主張,那這已經超過20年來我們都是這樣主張,所以希望讓這一條可以優先的考慮修正版本,解決我們金門地區越來越辛苦的財政困境。以上,謝謝。好,謝謝,謝謝陳玉珍、陳委員。來,我們接下來羅明才、羅昭惟。耐斯堡賴委員,來,到你。
transcript.whisperx[72].start 3585.898
transcript.whisperx[72].end 3606.263
transcript.whisperx[72].text 謝謝主席及各位先進我有兩個提案一邊講第一個就是我們就知道我們的財劃法上一次是1999年在今審之前我們的中央地方的錢比例多少呢6比4結果到現在今天為止變成75對25啊
transcript.whisperx[73].start 3613.475
transcript.whisperx[73].end 3637.85
transcript.whisperx[73].text 這個中央政府的中央中央政府食髓知味啊錢越積越多錢越抓越多1999年25年前拿60%現在拿75%啊然後地方政府要錢就是像乞丐一樣啊仰望這個中央的 mercy你們打磁棒你們的慈悲
transcript.whisperx[74].start 3642.686
transcript.whisperx[74].end 3654.193
transcript.whisperx[74].text 給地方來多一點這樣子毫無道理啊所以我的提案是修了第8條、第12、16條之2、37之2、38之2簡單來講我希望把餅做大
transcript.whisperx[75].start 3661.363
transcript.whisperx[75].end 3681.431
transcript.whisperx[75].text 我的頒本比我們黨團客氣啊我們黨團希望能夠把你們挖5千7百多億,將近6千億我的頒本一半只有3千億就是所得稅增加20%增加20%這樣一調整過來就很接近了6對4還沒有到這樣子也差不多65對35
transcript.whisperx[76].start 3683.892
transcript.whisperx[76].end 3711.861
transcript.whisperx[76].text 所以還是很客氣的這是我的這個提案有兩個提案第一個提案是這個第二個提案我們現在常常看到我政府來講的話現在來講這個中央政府都是很多的德政比如說馬上要來的里長的年終獎金七萬五大家鼓掌啊說這個很快要通過啊可是這個潛水處呢地方政府出啊
transcript.whisperx[77].start 3713.171
transcript.whisperx[77].end 3721.665
transcript.whisperx[77].text 地方政府處還有包括警察夜點費的調整也是中央這裡一聲令下要調整
transcript.whisperx[78].start 3723.653
transcript.whisperx[78].end 3745.072
transcript.whisperx[78].text 提供政委來買單所以都是中央請客、地方買單比一比皆是這樣的案件太多太多了這樣子啊其實讓人家感覺人家感覺這個都是玩假的就是中央現在把錢牢牢的拽在手上然後地方就像乞丐一樣要說你多一點、多一點、多一點
transcript.whisperx[79].start 3746.331
transcript.whisperx[79].end 3757.211
transcript.whisperx[79].text 所以我們希望這一次我們羅昭瑋派這個案子我們希望能夠認真審下去到目前為止行政院非常不負責任行政院怎麼沒有版本呢
transcript.whisperx[80].start 3758.754
transcript.whisperx[80].end 3786.176
transcript.whisperx[80].text 1999年到現在快25年了沒有修了地方這個我們的財務法沒有修正財政紀律38條之一也沒有去修正它我的剛剛提到的就是中央請客地方買單的形象一定要遏止它所以我的提案裡面就想得非常清楚只要任何的政策增加支出的一定要說明來源中央立法地方買單的情況要完全遏止
transcript.whisperx[81].start 3787.997
transcript.whisperx[81].end 3788.438
transcript.whisperx[81].text 財政收支劃分法
transcript.whisperx[82].start 3808.597
transcript.whisperx[82].end 3821.262
transcript.whisperx[82].text 維護財政機率以後只要任何財這個中央要減稅或者是增加這個薪資加薪等等的這些的錢統統由中央政府來買單。謝謝。好。謝謝。謝謝這個賴自寶賴委員。我們來繼續請羅昭偉最後一位。好。來。
transcript.whisperx[83].start 3832.577
transcript.whisperx[83].end 3859.423
transcript.whisperx[83].text 謝謝主席今天提到《財政收支劃分法》其實25年以來就是很簡單的情況中央集權地方沒權中央有錢地方沒錢說穿了就是分配不公那得到權力的人當然是說最好不要修啦因為每個人都要去拜託中央
transcript.whisperx[84].start 3860.744
transcript.whisperx[84].end 3862.865
transcript.whisperx[84].text 全體委員會第11屆第1會期財政收支劃分法
transcript.whisperx[85].start 3890.356
transcript.whisperx[85].end 3917.558
transcript.whisperx[85].text 都是偏差、偏薄我們人均、新北市所受到的補助遠遠大概是敬佩莫作這個對新北市所有的民眾來講是不公平的有很多的不公不義希望在今天財政部長也上任了我們真的要
transcript.whisperx[86].start 3918.578
transcript.whisperx[86].end 3947.119
transcript.whisperx[86].text 好好將心比心我們應該好好地善待地方所有22個包括六都跟縣市其實中央跟地方的關係是夥伴的關係不是對立的關係也不是一定要一個拜託而是應該要把錢花在刀口上我們都知道這幾年
transcript.whisperx[87].start 3948.542
transcript.whisperx[87].end 3973.722
transcript.whisperx[87].text 國家的稅收都是超徵錢很多啊但是也請財政部特別顧慮到台灣現在的貧富懸殊越來越大所以本席主張這一次我有提案有修正版本但是最主要的方向還是希望把柄做大
transcript.whisperx[88].start 3975.199
transcript.whisperx[88].end 4001.784
transcript.whisperx[88].text 最起碼要高於過去的比例當然資料都是有不同的資料、版本但過去的版本就是大概中央集權大概有7成多地方分不到大概3成我們希望能改變這個局勢讓地方權多一點
transcript.whisperx[89].start 4002.904
transcript.whisperx[89].end 4028.405
transcript.whisperx[89].text 前多一點因為必須要直接對民眾來負責所以本席政程國民黨黨團所提出的版本大概會增加5777億然後由地方大家好好坐下來來看看怎麼協調多多來爭取中央把權力下放給地方直接
transcript.whisperx[90].start 4029.688
transcript.whisperx[90].end 4031.169
transcript.whisperx[90].text 為民眾做最好的服務。」謝謝
transcript.whisperx[91].start 4047.915
transcript.whisperx[91].end 4067.559
transcript.whisperx[91].text 主席、各位委員先進大家好今天貴委員會審查台灣民眾黨黨團、國民黨黨團以及各委員分別擬具的財政收支劃分法相關條文修正草案等14案本人呈邀列席自感榮幸僅說明如下進行指教第一個部分
transcript.whisperx[92].start 4068.052
transcript.whisperx[92].end 4077.202
transcript.whisperx[92].text 中央與地方的財政概況是近年來中央政府總預算的稅入稅出連續剩餘並計特別預算執行結果則逾處復健其中112年度的總預算並計特別預算後整體的預算認為差短
transcript.whisperx[93].start 4085.993
transcript.whisperx[93].end 4095.586
transcript.whisperx[93].text 至於地方財政透過統籌稅款以及一般性的補助款益助,整體地方稅收的剩餘由105年度的41億元成長到111年度的463億元已經有顯著的改善。
transcript.whisperx[94].start 4103.456
transcript.whisperx[94].end 4131.753
transcript.whisperx[94].text 對於各級政府稅客收入的劃分。稅客收入劃分,它包含了中央和地方財源的垂直分配以及各地方政府間的水平分配。那麼應考量的因素有下面。第一個在垂直分配的部分要通盤審視中央和地方市權劃分以及近年整體的財政概況除了要適度維持中央財政的韌性之外並且應該要兼顧地方的財政需求
transcript.whisperx[95].start 4132.533
transcript.whisperx[95].end 4146.481
transcript.whisperx[95].text 第2個在水平分配的部分必須要考量強化財政努力兼顧基本建設的需求以及發揮均衡區域發展等功能而且必須要廣泛的徵詢以及收集各界的意見
transcript.whisperx[96].start 4147.601
transcript.whisperx[96].end 4173.337
transcript.whisperx[96].text 對於各委員提案的言析意見首先就中央釋出財源的規模部分各提案涉及增加中央釋出財源者即有國民黨、黨團等10案增加釋出的財源介於333億到5777億元之間如果中央大幅釋出財源那恐怕會影響到國防、社會福利等業務的推動
transcript.whisperx[97].start 4174.077
transcript.whisperx[97].end 4201.785
transcript.whisperx[97].text 也將排擠到對地方政府的補助在稅收直接分層這個部分各提案涉及到調整稅收直接分層部分既有民眾黨團提案等7案鑒於我國各地的治安環境以及公山發展條件並不一致所以稅源的分布並不均勻這個情況非常的顯著如果我們擴大稅收直接分層的這個財源恐怕會拉大地方財政的一個差距
transcript.whisperx[98].start 4203.376
transcript.whisperx[98].end 4223.992
transcript.whisperx[98].text 在水平分配的部分,國民黨黨團提案分配公式以人口指標為主,容易導致人口數比較多的縣市,獲配數顯著會優於其他同級的一個縣市。第二,有關民眾黨黨團林委還有林委員思銘等20人以及洪委員等22人的提案,
transcript.whisperx[99].start 4224.712
transcript.whisperx[99].end 4249.446
transcript.whisperx[99].text 主要是採劃依直轄市及縣市分配基礎並優先彌補基準財政收支差短,雖然具有調計營需的效果,但是外界所期待分配公式的指標還要再強化有關財政努力等相關的指標。至於籌組委員會擬定統籌稅款分配辦法以及特別統籌稅款比例有6%,
transcript.whisperx[100].start 4250.667
transcript.whisperx[100].end 4269.594
transcript.whisperx[100].text 降到2%等部分,為了維持財政穩定並且適時支應地方政府緊急及重大事項所需要的經費,這個部分需要審慎的研議。第三個,陳委員昌明等17人以及賴委員瑞榮等16人以及蔡委員易宇等16人的提案,
transcript.whisperx[101].start 4270.194
transcript.whisperx[101].end 4281.24
transcript.whisperx[101].text 有關統籌稅款的分配公式要徵定高污染產業的貢獻等分配指標這一節將會適時徵詢地方政府意見後我們會訂定明確的指標有關徵列農業發展地區以及國土保育區應優先補足基本財政需要這個規定為了落實對財政落實的地方政府的照顧我們會審慎的原議另外對於賴委員、世保等29人的提案
transcript.whisperx[102].start 4300.289
transcript.whisperx[102].end 4317.207
transcript.whisperx[102].text 有關所得稅提撥20%作為補充財源並參酌人口及合理人均稅出等因素分配一節以採劃一的基礎而不宜過度強調人口的因素對於特定區域的扶植可以透過補助的制度來辦理。
transcript.whisperx[103].start 4318.388
transcript.whisperx[103].end 4343.865
transcript.whisperx[103].text 至於其他的部分,林委員思銘等20人及洪委員孟楷等22人提案有關每徵涉一個直轄市徵撥所得稅10%納入統籌稅款這個部分,鑒於地方財源的分配應該要對應市權的歸屬。如果明定新徵一個直轄市,中央就需要增加四出1800億元,那麼恐怕會影響到中央財政的穩健。
transcript.whisperx[104].start 4345.558
transcript.whisperx[104].end 4368.62
transcript.whisperx[104].text 第二個,紅委員孟楷等22人提案有關徵定直轄市應參酌各區域城鄉差距等因素,分配所轄各該區一節。依照地方制度法的規定,直轄市下面的區不是獨立的地方財政層級,尚無法課徵稅捐以及參與普通統籌分配稅款的分配。
transcript.whisperx[105].start 4369.341
transcript.whisperx[105].end 4389.539
transcript.whisperx[105].text 第三個有關吳立華、吳委員立華等17人的提案將直轄市、園民區納入全國財政收支系統一節根據地方制度法的規定園民區自治事項未包含稅捐及公共債務而且園民區實施自治所需要的財源是由直轄市設算補助
transcript.whisperx[106].start 4391.38
transcript.whisperx[106].end 4414.02
transcript.whisperx[106].text 所以各級地方自治團體稅客收入劃分應該和事權的歸屬要並同的考量那麼由內政部審慎的評估循修正地方制度法的方式來推動第四個部分有關賴委員、世保等22人提案有關徵定中央制定或修訂涉及影響地方稅收的法律的時候
transcript.whisperx[107].start 4414.54
transcript.whisperx[107].end 4443.367
transcript.whisperx[107].text 地方稅收的損失應該由中央補儲等規定一結查各機關制定或修正法律如果有減少收入的話均由業務相關主管機關一財化法第38條之一或財政紀律法第5條的規定要籌措彌補的財源如果未來中央制或修訂法律涉及地方稅收的減損可以拒於辦理所以沒有重複訂定的必要
transcript.whisperx[108].start 4445.95
transcript.whisperx[108].end 4459.669
transcript.whisperx[108].text 簡於各級政府財政收支劃分牽涉到財政資源的重分配對各級政府財政的影響非常的重要至於為了維持中央財政的韌性並兼顧地方財政的需求
transcript.whisperx[109].start 4460.229
transcript.whisperx[109].end 4477.105
transcript.whisperx[109].text 相關的研修作業已經積極地展開當中本部並已就地方政府所提的分配指標一議在做進一步的釐清當中我們會邀集地方政府協商做審慎的託處以上說明敬請各位委員指教謝謝好謝謝
transcript.whisperx[110].start 4483.092
transcript.whisperx[110].end 4503.773
transcript.whisperx[110].text 現在開始詢答每位初席委員是8加2,列席是5加1我們3點半截止發言登記本日會議委員若有相關修正動議請寄送財政委員會議事人員授卷以立以後後續的審查請第一位林德福委員質詢
transcript.whisperx[111].start 4511.943
transcript.whisperx[111].end 4514.605
transcript.whisperx[111].text 謝謝主席。是不是請莊部長。請莊部長。我也好。部長你好。部長我請教齁一位前部長蘇建隆啊在任命的時候曾經表示說這個財化法、修法要有很大的協調空間齁那
transcript.whisperx[112].start 4536.738
transcript.whisperx[112].end 4557.934
transcript.whisperx[112].text 以當時整個時空的背景來看是因為各地地方政府討論統籌分配稅款分配公事時都沒有統一的意見那請問部長站在你的立場你認為蘇前部長的看法有沒有道理
transcript.whisperx[113].start 4559.172
transcript.whisperx[113].end 4585.311
transcript.whisperx[113].text 跟委員報告歷次行政院有提出版本但是都為什麼會沒有完成修法通過就是各地方政府有不同的意見因為我們知道各地方政府其實我們的各個自然環境公三發展條件不一所以各地方政府在提出分配的時候都會就他們各自有利的指標來做輸出我知道那要是大家都沒有共識那請問你有沒有其他另外的看法
transcript.whisperx[114].start 4586.552
transcript.whisperx[114].end 4604.95
transcript.whisperx[114].text 這個部分我們現在正在努力的做也就是說財政部先請各地方政府對於有關提升財政自主還有公共建設的基本需求等等提出指標來那這個指標提出來以後它所涵蓋的內容是什麼要更具體更明確所以我們也在跟地方政府在進一步的釐清我請問部長
transcript.whisperx[115].start 4606.351
transcript.whisperx[115].end 4625.805
transcript.whisperx[115].text 因您現在的觀點請問財劃法是不是一定要協調到統一的意見的版本財劃法修正草案才能成案是不是這樣子我想在這個地方政府的分配這個部分最起碼我們要把共識要凝聚起來如果沒有共識的話那這次要是有共識呢
transcript.whisperx[116].start 4626.445
transcript.whisperx[116].end 4637.947
transcript.whisperx[116].text 如果這次有共識的話,我們在這個分配的部分就能夠得到一個很明確的公式,那我覺得這個就可以往前推進做修法的動作,是。如果是的話,那你認為財政部短期內
transcript.whisperx[117].start 4639.522
transcript.whisperx[117].end 4661.139
transcript.whisperx[117].text 有提出修法的機會嗎?你們?這個部分我們一直在努力比如說我們已經提出修法的原則規劃修法的原則另外在地方政府的部分我們請他們已經提供了相關的指標那目前這個指標來其實還有很大的一個差距所以我們會進一步的釐清然後把指標這個這個之間的差距把它盡量縮小對
transcript.whisperx[118].start 4662.216
transcript.whisperx[118].end 4679.998
transcript.whisperx[118].text 那你認為以現在來看行政銀行財政部你們有沒有修法的決心呢?有沒有?我們已經在推展當中我們剛剛在報告也是積極的在展開當中是部長因為媒體報導對於你回應外界財化法修法指出包含
transcript.whisperx[119].start 4681.139
transcript.whisperx[119].end 4709.798
transcript.whisperx[119].text 為地方增加財源等六大修法的原則。學者一時認為說從此可以看出中央政府仍是極權跟極權的心態不願意放權。我請問部長對於學者認為你回應訴求財化法修正的內容是中央極權跟極權的心態你認為是不是事實?
transcript.whisperx[120].start 4710.738
transcript.whisperx[120].end 4727.269
transcript.whisperx[120].text 不是這樣的事實。那如果不是事實但財政部又沒有積極主動修法的決心那請問部長你又如何能夠讓各界來信服呢?跟委員報告財劃法雖然沒有修正
transcript.whisperx[121].start 4727.709
transcript.whisperx[121].end 4746.264
transcript.whisperx[121].text 但是透過中央統籌分配稅款還有一般性的補助款以及專案的補助其實對於地方的財政的益助已經有相當大的一個成長我瞭解啊但問題是剛剛有委員提出來你像那個陳超平啊他提的苗栗對不對他一年貢獻多少結果
transcript.whisperx[122].start 4747.085
transcript.whisperx[122].end 4773.478
transcript.whisperx[122].text 他補助了多少那個落差很大那你說其他嘉義啦齁其他地方他那個本來他就收的很少但是補助很多那個落差讓人家一看就知道這個好像是有黨派之分餒是不是委員您說的這個就涉及到所謂的水平的一個分配所以這個水平的分配的分析我們認為說指標上要更能夠公平部長
transcript.whisperx[123].start 4774.659
transcript.whisperx[123].end 4783.829
transcript.whisperx[123].text 攸關地方財源統籌分配稅款文化財政收支劃分法已經25年沒有修改,歷經政黨輪替政權
transcript.whisperx[124].start 4787.763
transcript.whisperx[124].end 4811.236
transcript.whisperx[124].text 再加上多了4個城市升格為直轄市稅收上也有極大的變化那事實上應該有修法的必要性今天啊財委會排審有媒體報導依照現在修正的版本重新調整稅收分配恐怕中央要釋出高達6400億元的這個作為統籌分配款
transcript.whisperx[125].start 4816.901
transcript.whisperx[125].end 4823.711
transcript.whisperx[125].text 請問部長不須了解站在財政部的立場對於財劃法你認為有沒有必要和
transcript.whisperx[126].start 4825.014
transcript.whisperx[126].end 4850.084
transcript.whisperx[126].text 有沒有必要性和急迫性?有沒有?委員報告當然因為這麼長的時間沒有修地方跟財政中央跟地方的財政情勢有變更那另外就是這麼長時間以來大家也都感覺到這個分配的公式尤其這個我們知道分配直轄市就直接先分走61%縣市然後在鄉鎮這樣分這個分配的方式事實上在造成剛剛也就陳超明委員所提到的
transcript.whisperx[127].start 4850.564
transcript.whisperx[127].end 4851.724
transcript.whisperx[127].text 提出的委員版中央釋出的稅收分配比例給地方到底有沒有調整的空間啊?
transcript.whisperx[128].start 4874.19
transcript.whisperx[128].end 4891.422
transcript.whisperx[128].text 所以我們在修法的原則裡面就有一個提升財政自主這個部分就會有擴大中央統籌分配稅款的規模但是在擴大這個規模的時候同時要考慮第一個要考慮到地方財政的需要但是也要考慮中央的財政的一個韌性這個部分也要考慮
transcript.whisperx[129].start 4892.023
transcript.whisperx[129].end 4906.145
transcript.whisperx[129].text 並考慮因為中央所要面對的特別的事權包括有國防還有社福支出、重大的公共建設以及國際政經情勢的變化的時候中央必須要有財政的韌性來做應對所以中央的財政韌性也是很重要的
transcript.whisperx[130].start 4906.966
transcript.whisperx[130].end 4932.337
transcript.whisperx[130].text 媒體報導對於財化法修正財政部表示還要彙整地方的意見並要以六大原則包含提升財政自主、劃一分配基礎然後調劑財政的營需保障既有的財源以及精進分配機制及地方財源不減等這些修法那部長因為賴清德從總統
transcript.whisperx[131].start 4934.983
transcript.whisperx[131].end 4956.022
transcript.whisperx[131].text 在院長任內、總統在院長任內支持修正財劃法給地方更多的經費那地方縣市首長也多半認為財劃法早就該修是當務之急那請問部長從賴院長到賴副總統到今天上任的賴總統
transcript.whisperx[132].start 4957.623
transcript.whisperx[132].end 4976.022
transcript.whisperx[132].text 在財化法、修法的立場你認為他應該言行一致、積極來推動修法還是換了個位置也要換了個腦袋的思維來判斷?你的看法呢?委員這個部分我們其實財政部我們剛剛報告已經在積極展開相關的一些作業當中
transcript.whisperx[133].start 4977.043
transcript.whisperx[133].end 4996.074
transcript.whisperx[133].text 已經提過就是我們對地方政府的分配的指標就是剛剛提的修法原則裡面劃一分配基礎也就是未來直轄市跟縣市要分配的基礎是一致那目前是根本就先把它分成三大塊然後再來做分配所以這個部分的分配基礎事實上會要做討論的我希望要進擊啦因為要把那個相關的細節可以做更明確因為整個社會情勢跟經濟情勢發展都會有一些變化部長
transcript.whisperx[134].start 5002.478
transcript.whisperx[134].end 5025.242
transcript.whisperx[134].text 因為草原對財化法修法的建言已經由來已久但財政部一貫的說法不是以地方意見整合必須有共識不然就是用財政分配法制面公平的原則來框架那影射修法有難度那請問部長財政部這樣的說法
transcript.whisperx[135].start 5029.124
transcript.whisperx[135].end 5056.902
transcript.whisperx[135].text 你認為有積極參與推動修法的誠意嗎?財政部的說法也是一個事實但是目前來說我們在積極展開相關的作業當中民進黨政府執政從賴清德擔任院長到現在賴總統上任已經好幾年了地方意見彙整不應該沒有定論財政分配法制面也不應該
transcript.whisperx[136].start 5058.783
transcript.whisperx[136].end 5083.477
transcript.whisperx[136].text 說沒有具體的內容我請問部長中央政府這個會期有沒有辦法提出對岸的版本參與討論如果再不提出真的會讓外界被貼上世衛素餐的一個標籤了你認為呢委員不會有世衛素餐這樣的一個情形
transcript.whisperx[137].start 5084.684
transcript.whisperx[137].end 5104.538
transcript.whisperx[137].text 臺法法證實沒有修,中央對地方的財政挹注也一直逐年在增加。以113年跟105年來相較的話,已經都增加了兩千多億。所以臺法法雖然沒有修,但是中央對地方政府的財政挹注是一直是都在做的,而且逐年在增加的。
transcript.whisperx[138].start 5104.918
transcript.whisperx[138].end 5129.789
transcript.whisperx[138].text 部長上個禮拜財政部公布最新的國債中平均每人負債27.4萬元創歷史的新高所以說又讓很多立委專注在這個議題部長你的回應是短期融資在國庫的調度上是有必要的所以短期債務會增加但會盡快來還債那我請問部長
transcript.whisperx[139].start 5133.782
transcript.whisperx[139].end 5140.949
transcript.whisperx[139].text 現在財劃法在償還中央債務與地方財政分配上有沒有調整的空間?
transcript.whisperx[140].start 5142.711
transcript.whisperx[140].end 5165.443
transcript.whisperx[140].text 我們在我們的國債中是指中央的債務這中央的債務那為什麼會上個禮拜是27.4萬是因為第一季的時候我們必須要支付軍公教的年終獎金地方的補助款要出去還有增加台電的1000億元的一個增值所以這個部分大額的金額出去以至於國債中它會往上跳那國債中是長債加上短債
transcript.whisperx[141].start 5168.965
transcript.whisperx[141].end 5179.589
transcript.whisperx[141].text 那這個部分短債的部分我們會很盡快的去還掉也就是這是國庫資金調度的一個短期的一個現象所以我們在17號又還了481這當時都是在我們的規劃當中那5月6月大額的稅款進來以後我們也會積極的按照年度的預算去還掉1150億元這個部分事實上我們是在債務的控管上是非常的積極而且謹守財政紀律
transcript.whisperx[142].start 5193.692
transcript.whisperx[142].end 5205.077
transcript.whisperx[142].text 最後就是部長如果按照我們目前委員的修法版本你認為對中央債務、地方財政上會發生什麼變動或影響?
transcript.whisperx[143].start 5209.22
transcript.whisperx[143].end 5235.453
transcript.whisperx[143].text 當然這個資源的一個重新分配對各級政府的財政當然會有一些影響所以這部分我們必須要審慎我是認為該修25年了該修還是要修因為地方苦哈哈的啦講實在話那中央集權又集權那這個分配都是有點看顏色在分配
transcript.whisperx[144].start 5236.133
transcript.whisperx[144].end 5249.097
transcript.whisperx[144].text 我講這個分配都是按照公式在分配所以說我們地方政府就是一直在這個哀哀叫我是希望最短的期間你們要提出版本以上謝謝謝謝委員指教謝謝下一位質詢請吳秉瑞吳委員主席麻煩請財政部莊部長請莊部長
transcript.whisperx[145].start 5266.843
transcript.whisperx[145].end 5279.706
transcript.whisperx[145].text 委員好部長早剛剛我在那邊坐著聽各位的各個版本的這個修法的那個說明感覺上好像一群人圍著你要債問題是又不是你欠他們這是當家困難很多的指標
transcript.whisperx[146].start 5291.038
transcript.whisperx[146].end 5314.229
transcript.whisperx[146].text 不可以用單一的我舉個例子你剛剛講到說現在六都直轄市大概分配到60幾%的統籌分配稅款其他的是普通的縣市可是你知道嗎直轄市的總人口數佔全國人口數的70幾%所以你如果完全照人口數來分配那這樣地方窮的縣市就更窮了
transcript.whisperx[147].start 5315.014
transcript.whisperx[147].end 5338.828
transcript.whisperx[147].text 那六都分配的就更多了那一個說法就是把柄做大把柄做大就是垂直分配的問題垂直分配又遇到很多問題啊很多重大的公共建設根本就不用地方政府出錢我就一個例子蓋高速公路蓋什麼機場這哪裡有需要地方政府花錢但是中央政府得出這條錢
transcript.whisperx[148].start 5341.616
transcript.whisperx[148].end 5352.346
transcript.whisperx[148].text 新北市、台北市在蓋捷運其他很多的職項是在蓋捷運中央也都要出很大一筆的補助款所以不是光用想像說拿一個數據來說我這個縣市
transcript.whisperx[149].start 5355.869
transcript.whisperx[149].end 5378.076
transcript.whisperx[149].text 十幾年來我繳了多少稅那我只有分配到多少不夠我跟你說他分配的遠遠就早就都超過他該拿的苗栗縣得要反省的是他為什麼以前人事腐爛去花那麼多奇奇怪怪的錢使他的財政困難不然以前也沒有一個公司特別刁難苗栗縣為什麼苗栗縣的財政狀況會特別的不好呢難道是你的公司裡面有講說苗栗縣就是特別要少分嗎
transcript.whisperx[150].start 5385.165
transcript.whisperx[150].end 5396.888
transcript.whisperx[150].text 恐怕不是這樣所以第一個問題實際要了解說你個人認為在垂直分配上中央有可能可以釋出的這個稅款的比例講比例因為今天不是講獎金額因為獎金額是隨著每一年稅收的狀況不一樣而會有差別你認為中央能夠再釋出的財源大概是會有哪一些範圍
transcript.whisperx[151].start 5414.903
transcript.whisperx[151].end 5435.518
transcript.whisperx[151].text 跟委員報告第一個中央要釋出財源之前我們希望把地方的一個水平分配先把它分配好因為中央要釋出的時候要考慮地方的一個需求所以它的基本財政收支差短我們要能夠先把它彌補所以這個就是你要先分配怎麼樣分配講以後再來看怎麼樣中央釋出多少如果以今天我們的一個統計來看的話
transcript.whisperx[152].start 5437.139
transcript.whisperx[152].end 5466.056
transcript.whisperx[152].text 中央如果統籌分配稅款加上一般性補助款加上計劃型補助款的話中央已經釋出了41.4%也就是說這樣全部的收入裡面中央是58.9%地方是41.1%但是剛剛他們不是這樣講喔他剛剛講說你中央75%地方25%你們都在勒死他們的你錢都拿到中央你在集權集錢啦那個是只有統籌分配稅款但是如果加上一般性補助款跟計劃型補助款事實上是遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠遠
transcript.whisperx[153].start 5466.476
transcript.whisperx[153].end 5484.944
transcript.whisperx[153].text 所以你要講清楚因為今天來這邊講的人我不敢說他講的一定是謊話但是都講對自己有利的話我在這裡20年啦20年來每一屆都在提這個財化法的沒有一屆可以完成無論是哪一個黨執政
transcript.whisperx[154].start 5486.565
transcript.whisperx[154].end 5503.696
transcript.whisperx[154].text 的原因就是在這裡我跟楊耀、澎湖的立委我的好朋友聊天他跟我說我問他說你為什麼當立委當那麼久不選澎湖縣長他跟我講說不要開玩笑了我們澎湖的自有財源一年才6億當那個縣長跟我當立委
transcript.whisperx[155].start 5509.366
transcript.whisperx[155].end 5538.22
transcript.whisperx[155].text 立委可以跟中央要的補助款去地方反而他認為這樣對他自己的澎湖要更有幫助這是他的想法所以你想想看一個澎湖縣假設他說的差不多自由財源才6億他一年光是公教人員這些的薪水他絕對就付不起啦這基本的開銷一個縣政府至少要幾十億上百億才有辦法嘛所以
transcript.whisperx[156].start 5539.502
transcript.whisperx[156].end 5562.424
transcript.whisperx[156].text 你一個很大的困難就是說你的這個地方政府雖然是夥伴關係但是因為每一個地方政府的狀況差距非常的大也有的地方政府經過他的努力比如說剛剛陳委員講的他們金門因為現在這經久公司的關係他認為他是多角的可是金門縣政府的社會福利
transcript.whisperx[157].start 5563.885
transcript.whisperx[157].end 5582.532
transcript.whisperx[157].text 就金門憲民的社會福利現在據統計起來已經是全台灣地區最好的所以還有好多台灣人要簽戶口去金門希望當金門憲民可是還有一些門檻你要有一些門檻才有辦法完成我是舉這樣子的例子說每一個縣市的差距非常的大那你這個水平的這個調查
transcript.whisperx[158].start 5587.81
transcript.whisperx[158].end 5596.42
transcript.whisperx[158].text 第1個要先完成調查嘛調查之後才能跟大家來談談說大家要用什麼樣的公職分配你這個調查要調查多久
transcript.whisperx[159].start 5597.641
transcript.whisperx[159].end 5623.558
transcript.whisperx[159].text 調查的部分已經回來了但是差距很大每個地方政府所提都是對他自己有利的來做這個指標然後第二個這指標內容的詳細的定義是什麼也要釐清所以這個部分我們第一個看到的差距是很大第二個對於各個指標內容的詳細的情形已經要有一個具體的而且要有一個通用性的那你工作的反所以這個部分已經都一直在進一步的釐清當中對那這個要趕快去進行因為這個已經逼到
transcript.whisperx[160].start 5628.902
transcript.whisperx[160].end 5652.944
transcript.whisperx[160].text 這個時間上你很急迫捏。我跟你講如果你行政院沒有辦法提出自己的版本結果都被在野黨或是這個立委個別的版本拿出來然後在這個地方現在因為這樣的立法院這樣的環境他一給你通過結果你將來會自然而然行喔。你得考慮到這個事情了所以你那個時間你得把握啊。
transcript.whisperx[161].start 5655.176
transcript.whisperx[161].end 5656.156
transcript.whisperx[161].text 全體委員會第11屆第1會期財政收支劃分法
transcript.whisperx[162].start 5672.024
transcript.whisperx[162].end 5693.403
transcript.whisperx[162].text 剛剛我們這個主席有講啊新北市現在400多萬人口捏結果我們的統籌分配稅款總數還比台北市還不足那這個當然以我們的了解是有歷史因素早年統籌分配稅款的分配是台北市、台灣省、高雄市三個單位先做一級的地方政府做分配
transcript.whisperx[163].start 5694.364
transcript.whisperx[163].end 5720.116
transcript.whisperx[163].text 後來因為精神所以各個縣市才分配的比例才調整可是在調整的時候台北市跟高雄市都不讓你調啊他們都要盡量維持所以上一次在民國88年就是1999年的修法在非常痛苦的情況之下台北市、高雄市才擠出讓出一點點然後還是中央把柄做大才有辦法修的那我現在問如果這個指標
transcript.whisperx[164].start 5721.397
transcript.whisperx[164].end 5735.44
transcript.whisperx[164].text 台北市願意跟其他縣市用相同的指標來辦嗎?來分配嗎?還是那句老話老是台北市老是講我們是首都所以我們就要特別好那是當年台北市的立委講的話那今年你辦得到嗎?我覺得這是非常大的考驗台北市的立委可能只有8個但是聲量很大、音量很大
transcript.whisperx[165].start 5747.537
transcript.whisperx[165].end 5764.753
transcript.whisperx[165].text 跟委員報告所以我們這裡第一個要劃一分配的機率就直轄是跟縣市的分配基礎要一致另外分配的一個精進的一個分配機制要更細一點不是只有人口數那如果你的意思是這樣呢我當然知道人口數如果算人口數對新北市是最好啊那我的意思說
transcript.whisperx[166].start 5765.373
transcript.whisperx[166].end 5792.365
transcript.whisperx[166].text 你能夠讓台北市不要再認為說他必須要優後獨厚於其他的縣市嗎這是你要考驗你的地方所以這個大家都要加油今天如果都沒有共識的狀況之下就要來弄這個東西弄出來的東西是自然難行的這一點我們很欽佩羅昭偉他自己也瞭解這個狀況所以他們一直希望你趕快整合能夠提出行政院版本這一點我們是支持的好不好加油謝謝謝謝委員謝謝好謝謝
transcript.whisperx[167].start 5800.953
transcript.whisperx[167].end 5826.136
transcript.whisperx[167].text 我們不用急啦我會給大家很多的時間甚至我剛剛跟秘書人員討論我們可能也需要的話也可以開公聽會來聽聽22縣市的聲音找到一個好的方法啦把餅做大嘛因為這個不是說一定誰贏誰輸是大家都要贏所以希望說大家和諧理性的方式來進行接著下一位請陳玉珍陳委員
transcript.whisperx[168].start 5832.712
transcript.whisperx[168].end 5859.403
transcript.whisperx[168].text 請莊部還有莊部長請莊部長還有陳署長委員好部長齁上個月4月1號這個財政委員會之後本席有提出財務法有關燕酒稅變革剛剛在提案說明的時候也說了齁希望財政部按照過往我們行政院的立場齁就是把金馬地區所爭的80%的燕酒稅給我們金馬地區使用那時候有承諾帶回去研究啦那研究的結果是怎樣的
transcript.whisperx[169].start 5861.038
transcript.whisperx[169].end 5874.751
transcript.whisperx[169].text 委員您上次提到就是說這樣的意見我們會在討論分配的時候一併討論放分配進一併去考慮進去那我針對我們這一條我特別問的你們有回去研究嗎我們會一併的研究啊不會只對單一一條來做討論這樣子喔您看喔
transcript.whisperx[170].start 5877.653
transcript.whisperx[170].end 5895.769
transcript.whisperx[170].text 今天你們的報告裏面有給的答案是納入考量納入考量我給你們看一下這個民國90我提的那個福建省的金門跟連江兩縣徵期收入減除1%作為基徵及查緝經費後支80%分配給各蓋縣
transcript.whisperx[171].start 5899.052
transcript.whisperx[171].end 5920.204
transcript.whisperx[171].text 其實當然給你們中央來分配那這個東西講過我一直一再的提剛剛在提案說明也說了這個並不是這個並不是說就是說要跟你們要更多是把你們就是給我們多拿的還給我們這菸酒公賣跟這個菸酒稅法以後的這個不一樣你看本期所提的這個草案內容在這裡
transcript.whisperx[172].start 5923.585
transcript.whisperx[172].end 5945.995
transcript.whisperx[172].text 實際上如果按照本期所提的這個修法事實上也是國民黨跟民眾黨的版本當然還有等一下我們看到財政部也是一直都這樣主張只是20多年來都沒有修的這個情況下事實上跟現在的制度今天的這個制度比比較的話事實上我們也只有多增加12億元啦您看到嗎以112年時增數421計算嘛對吧那現在我們這個齁上一頁
transcript.whisperx[173].start 5950.737
transcript.whisperx[173].end 5954.84
transcript.whisperx[173].text 一百一十二年的這個時增數計算原來是乘以19等於6億嘛那如果中央還是保有這個325億統籌那這個扣掉的巴士只有多增加12億啦這個事實上對整體的影響是是蠻少的我想這一點您請來特別的幫我們
transcript.whisperx[174].start 5968.65
transcript.whisperx[174].end 5988.961
transcript.whisperx[174].text 關注一下,沒錯嗎?沒錯,我想這個因為菸酒專賣制度改制以後對於金馬這邊的一個影響所以目前在財務法已經明定對於這個我們在算基準財政收支差短的時候這個菸酒金門現在他們所收的這個菸酒稅是不會納入收入額度這個部分已經特別考量了
transcript.whisperx[175].start 5989.461
transcript.whisperx[175].end 6010.243
transcript.whisperx[175].text 至於委員所提的這個建議,我們會一併納入研究卡裡。對,而且我剛剛有提到很多自治事項,包括自來水,包括大橋的圍管,這些其他縣市都是各個縣市政府在出錢的,我們金門縣都自己出啦。那您知道我們包括比如說金門醫院這個部立的,金門大學這個國立的,教育部的,部立院衛生福利部的,
transcript.whisperx[176].start 6010.823
transcript.whisperx[176].end 6030.684
transcript.whisperx[176].text 以及金門醫院的護士留任獎金也是我們在出金門大學學生在那邊讀書的相關一些費用也是我們在出所以我們給中央的也是應該也不會少於這些錢這個部分請你特別拿我考量因為只要在金門我們都說不管怎麼樣都是一家人那您看一下歷年來藍綠執政的時候
transcript.whisperx[177].start 6033.217
transcript.whisperx[177].end 6034.818
transcript.whisperx[177].text 條解比例101年民國92年是財政部林部長提的減徵1%分配8%各該縣
transcript.whisperx[178].start 6049.31
transcript.whisperx[178].end 6073.671
transcript.whisperx[178].text 財政委員會第5屆的立法院也是在我們這個委員會所提出的委員會你們的報告裡頭這個是財政部林全部長的報告跟本席提案文字是一致的這個是林全部長你看民國96年剛剛這個96年財政部長是何志清你看他所提出來也在立法院這是第6屆立法院這個怎麼樣的你們的修法方向跟我今天所提的
transcript.whisperx[179].start 6076.412
transcript.whisperx[179].end 6097.623
transcript.whisperx[179].text 80%分配給我們也不是只有101年不管是藍綠執政你們行政院所提的4次的修法版本都跟我今天提出的修法版本是一致的包括今天不管國民黨團、民眾黨團也是一致的所以說你這個分配比例要是整體分配機制研議結果鑿定這個應該也不用講得那麼
transcript.whisperx[180].start 6101.239
transcript.whisperx[180].end 6121.812
transcript.whisperx[180].text 保守,過去20年來不分藍綠,現在不分政黨,應該不分藍綠,都是有這個立場,所以應該是支持吧?是的,是。支持的,那這個修法這一條應該...一起來研議嘛,放大陸研議。我們要修法支持,所以我們今天跟您說,不是要跟你爭取額外的,所以說要你們落實承諾,沒問題啦。
transcript.whisperx[181].start 6125.151
transcript.whisperx[181].end 6152.728
transcript.whisperx[181].text 報告就是我們剛剛說我們會委員的意見以及歷年其實跟原來的版本都一樣不管藍綠的行政院院長不管國民黨團今年的國民黨民眾黨我們都是按照這個原來的提案嘛只是說一直沒有修這個財劃法這是比較小的問題啦如果說可以的話要跟我們多支持我們就看一下如果各位在稅收分配比例上可以的話我們會一併那種願意國庫署早上有說本席所提的是要中央支出300多億如果按照那個解釋我也是可以接受多分一點我也是非常願意的陳署長
transcript.whisperx[182].start 6154.329
transcript.whisperx[182].end 6156.835
transcript.whisperx[182].text 那我們接著請這個主席、副主席長謝謝,謝謝部長謝謝,謝謝委員部長請回
transcript.whisperx[183].start 6166.73
transcript.whisperx[183].end 6189.676
transcript.whisperx[183].text 陳副主席長,你上回有去金門開會嘛,對吧?就是那時候張景森政委。我帶我回來主持會,張景森政委主持的嘛。你那時候有表示針對我們地方所提出來的財力集市分級的部分,那時候我們提出一些,包括自來水廠。自來水廠的話,也叫我們出錢齁。然後現在財政部還要跟我們要,這個,叫我們墊啦齁。
transcript.whisperx[184].start 6191.517
transcript.whisperx[184].end 6191.917
transcript.whisperx[184].text 財政部長財政部長
transcript.whisperx[185].start 6208.229
transcript.whisperx[185].end 6224.865
transcript.whisperx[185].text 副主席長您上次有說了根據媒體報導主計總署陳慧娟副主長表示同意離島具有特殊性要審慎進行研議就是有關這個財力集市分級我們現在是第幾級目前是第三級那我們是要求降到第五級對吧
transcript.whisperx[186].start 6226.796
transcript.whisperx[186].end 6246.892
transcript.whisperx[186].text 對,那你上次不是說要進行研議嗎?我們有在研議,因為基本上這個財力分歧是地方制度法69條要均衡發展所以基本上我們就是對地方政府是按自有財源的比例,就是一個公式來算我都知道,這些我們都知道,但是你上次已經在政委主持的會議說要研議了,研議的進度怎麼樣?
transcript.whisperx[187].start 6248.073
transcript.whisperx[187].end 6269.83
transcript.whisperx[187].text 基本上就是我們必須找出金門跟其他地方這種不同的這個特殊性,所以基本上...不同的特殊性就是現在越來越窮啊因為窮,地方政府都說會窮,他們都說很窮嘛而且我們的窮心我們還幫助中央政府很多啊或者是主計總署這邊在協助說一些不應該我們負擔的部分,比如說自來水,比如說大橋
transcript.whisperx[188].start 6271.652
transcript.whisperx[188].end 6288.847
transcript.whisperx[188].text 其他縣市政府都是中央在負擔的,金門縣自己在負擔的這個部分,我們還要借錢給經濟部,我們跟財政部借錢給經濟部用,經濟部兩年後才還我們中間的利息還有金門縣政府來出,那這個是不是比較特殊,有沒有一個縣市這樣做?
transcript.whisperx[189].start 6290.508
transcript.whisperx[189].end 6318.225
transcript.whisperx[189].text 的確我們就是從剛委員所提的就是說屬於比較民生的部分或者是說重大的交通建設那如果說在其他地方政府是由中央來負擔的那個部分那這個部分我們就是目前就在研議基本是由哪一部分是屬於這個就這個民生動水啊這個大橋啊其他縣市都中央在負擔叫我們自己負擔啊那這個部分就跟其他縣市很不一樣
transcript.whisperx[190].start 6319.145
transcript.whisperx[190].end 6324.979
transcript.whisperx[190].text 所以我們的集市是不是要考慮調整?什麼時候研議出來?我們可能還需要一點時間齁。多久?沒關係,給你時間,多久?
transcript.whisperx[191].start 6327.526
transcript.whisperx[191].end 6338.557
transcript.whisperx[191].text 你給我壓個時間就可以了。可以給我們半年的時間嗎?為什麼研議的東西要半年啊?因為這個問題,半年後你可能又升官了。因為這個財力集資會聯動到其他的地方政府,所以影響的層面比較廣。那為什麼需要半年?現在是520啦齁。
transcript.whisperx[192].start 6351.049
transcript.whisperx[192].end 6360.456
transcript.whisperx[192].text 財政收支劃分法、委員羅明才等23人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄等26人、委員許宇甄
transcript.whisperx[193].start 6379.429
transcript.whisperx[193].end 6392.959
transcript.whisperx[193].text 三個月給我們時間提出一個方向提出一個方向,要提出一個完整的,三個月很久喔要給我一個完整的答案喔提出一個方向,努力的方向不是努力的方向,要給我一個答案好不好好,謝謝委員,謝謝現在執行請賴世保、賴委員
transcript.whisperx[194].start 6414.891
transcript.whisperx[194].end 6419.414
transcript.whisperx[194].text 謝謝主席以及各位先進有請財政部的莊部長請莊部長委員好你好我看到你剛才不斷的一直重複強調說給地方政府的錢越來越多可是最新的資料你的統存分稅款就7525啊
transcript.whisperx[195].start 6442.113
transcript.whisperx[195].end 6444.834
transcript.whisperx[195].text 那我們1999年是6040啊這個差這不管你怎麼講這是數字在這裡啊就是你給給給問題就是給的結果你拿75啊還是頭重腳輕啊這個政府這個國家會辛苦啊因為頭重照在你手上地方政府老實講你們很多的事情也是地方政府幫你們做啊比如說打疫苗
transcript.whisperx[196].start 6471.311
transcript.whisperx[196].end 6492.268
transcript.whisperx[196].text 在你的衛福部那個前年是撥到這個衛生局讓你地方政府的衛生局啊你何不乾脆給他你們的新聞稿你們有看得奇怪認真講起來的話中央部會有的部會地方都有啊除了國防外交陸委會沒有以外都有啊其他都沒有啊
transcript.whisperx[197].start 6494.798
transcript.whisperx[197].end 6502.425
transcript.whisperx[197].text 每一個縣市都有啊財政局、財政部、經濟局他們慘罷局、經濟部慘罷局對應的都有啊除了國安這一塊沒有以外你何必扛那麼大呢被人罵得要死一下來講的話請問可不可以回到1999年6040可不可以
transcript.whisperx[198].start 6516.368
transcript.whisperx[198].end 6517.229
transcript.whisperx[198].text 地方也懲戒很多啦!
transcript.whisperx[199].start 6533.088
transcript.whisperx[199].end 6561.747
transcript.whisperx[199].text 中央會透過補助的方式給地方政府所以在精審的時候省的這個部分是由中央來承接了所以這個部分是有受調整那至於未來中央統籌分配稅款的75、25比例這個部分當然是看中央統籌分配稅款是這樣但是對地方政府的挹注我已經說過包含一般性補助款跟專案性補助款事實上比起來已經是接近是60比40了沒有啦那65對35了早上我們才差的了也是只能少了5%啦
transcript.whisperx[200].start 6564.088
transcript.whisperx[200].end 6584.513
transcript.whisperx[200].text 65對35啦!還是很多喔!5%還是很多喔!請問你財政部有沒有提出一個財範法的版本有沒有?有沒有在研究有沒有?有在展開但是目前來說沒有版本因為第一個我們要先把這個水平分配的部分把它分配好整個部長你是刁難的話啦!
transcript.whisperx[201].start 6587.414
transcript.whisperx[201].end 6615.414
transcript.whisperx[201].text 水平你就知道這裏面矛盾在水平嘛對嘛,就是矛盾在水平所以先把它有一個公式不是,你們我們立法院協調我們立委門嚴寬委員一定要替台中市講話羅明才委員一定要替新北市講話賴思鵬一定要替台北市講話水平怎麼擺得平呢要先給錢下來請問你現在有沒有公式你告訴我有沒有公式目前沒有沒有公式嘛就完全看你高興才給
transcript.whisperx[202].start 6616.295
transcript.whisperx[202].end 6633.848
transcript.whisperx[202].text 你不是說要發展一個公式嗎?你剛才一直講有公式有公式,怎麼現在又沒有了呢?我們是講水平分配的這個公式啊。水平分配,就是地方政府之間水平分配的公式,要有一個明確的公式來做分配,而這個公式的相關目標要非常明確。現在你怎麼分配啊?就隨便?
transcript.whisperx[203].start 6637.691
transcript.whisperx[203].end 6638.853
transcript.whisperx[203].text 有公式啊!那一般性補助款也有公式啊!但是大家都...
transcript.whisperx[204].start 6655.312
transcript.whisperx[204].end 6683.17
transcript.whisperx[204].text 現行它有公式但是各位委員也好地方政府也好都覺得這個公式目前來說有不均的情況那所以才會提出很多意見認為要修財劃法那現在我們必須要對這個分別提一個本本把公式變成法令可以嗎?對所以我們現在在進行就是這件事什麼時候可以出來?我們這個部分第一個已經跟地方什麼時候可以出來?什麼時候可以出來要看共識什麼時候能夠
transcript.whisperx[205].start 6684.091
transcript.whisperx[205].end 6684.872
transcript.whisperx[205].text 幾個月可以嗎?比較重要的應該是
transcript.whisperx[206].start 6704.341
transcript.whisperx[206].end 6731.131
transcript.whisperx[206].text 中央先割一塊肉給地方啦怎麼分配那另外的事情他們就分配啦對不對垂直分配比較重要啦你捨不得割肉給地方中央如果先割一塊肉先給地方去分配那會負者越負貧者反而沒有得到怎麼會呢怎麼會因為現在譬如說現在的分配公司會有這樣的一個情形所以並不適合這樣做那你剛才已經講了你可以用一般計畫
transcript.whisperx[207].start 6732.131
transcript.whisperx[207].end 6755.446
transcript.whisperx[207].text 或者是草案記錄補回來啊 這都可以補啊 對不對所以這個東西啊 這非常不負責任啊我們都已經積極在展開這頁當中了 是我相信這個不需要你的卓院長來要求你吧到時候我們總是詢問卓院長他什麼時候可以提出來 他給一審定下你馬上就有 我們就看到那個屯房稅2.0
transcript.whisperx[208].start 6758.187
transcript.whisperx[208].end 6779.229
transcript.whisperx[208].text 我們這裡十幾個版本你理都不理啊這個那個這個一堆理由結果呢賴清德選舉的時候一聲鈴響你馬上就出來了馬上就通過了到底到底就是部長你不能這樣做啊財政部長要有點健胖有點有點自己的一個主張啊我們確實在我們目前已經在作業了啊我們已經在作業了啊
transcript.whisperx[209].start 6781.738
transcript.whisperx[209].end 6810.435
transcript.whisperx[209].text 我相信啊今天如果總統都要告訴你的話你下個禮拜就出來了我保證我跟你保證如果你都出來那如果地方政府如果都沒給他意見的話我跟你保證他要求的話一個禮拜以內就出來就是沒關係我們總組現在要求左院長現在地方政府其實地方大家都很憤怒就是中央最可惡的地方就在於經常是我得陣都是你啊
transcript.whisperx[210].start 6812.133
transcript.whisperx[210].end 6826.678
transcript.whisperx[210].text 你應得掌聲啊,目前的都是地方政府啊最值得里長加給7.5萬,就是如此啊然後我們就有些委員說這個稅減少那個稅減少你們減少結果這個錢通通是地方政府在買單因為啊怎麼沒有啊里長7.5萬就是啊就是啊怎麼不是啊所以我的我們這邊調整的話稅法裡面都必須要彌補財源給他的
transcript.whisperx[211].start 6842.688
transcript.whisperx[211].end 6843.688
transcript.whisperx[211].text 現在來講我再給你看一個表啦你們說每一年的統總分稅款都增加增加106年你是減少0.6%捏109年減少3.3%地方政府他們的預算都編好了結果你突然減少了怎麼辦捏
transcript.whisperx[212].start 6867.31
transcript.whisperx[212].end 6888.258
transcript.whisperx[212].text 一百零六年減少一百零六年減少其他你增加問題這幾年怎麼辦呢你以後會不會再產生這種情況呢這個減少部分是因為稅收短收了嘛所以就會減少所以我們在編預算的時候第一個就是說我們今年的比如說一一四年編好預算以後我們就會先通知告訴各地方政府預支會有多少
transcript.whisperx[213].start 6888.738
transcript.whisperx[213].end 6912.521
transcript.whisperx[213].text 收入,如果實際上沒有時增數,沒有那麼多的話,那確實就會減少。那怎麼辦?地方政府怎麼辦呢?預算編好了,結果你現在錢來源少了怎麼辦呢?對啊,那中央政府也是編好了,錢也少了,一樣啊。這個部長你現在喔,我覺得對你越來越失望了,就是這麼重要的財奧啊,到現在為止,既然你心裡都沒有半點的
transcript.whisperx[214].start 6914.315
transcript.whisperx[214].end 6941.675
transcript.whisperx[214].text 今天我們羅昭偉呢這個拿出勇氣拿出他的膽子來排這個這個排列是我們已經修了10幾年都修不過就是因為水平每一個立委大家的看法都不一樣這時候你但是你要版本嘛不是你說說說說怎麼樣怎麼樣怎麼樣等等的我們在修這個啊這第一次我看到財政部這麼不負責任的我們每次修草案法都有財政部的版本結果你這次沒有啊
transcript.whisperx[215].start 6943.51
transcript.whisperx[215].end 6968.604
transcript.whisperx[215].text 不能講一直是啊,你回應一下是啊,我跟委員報告我們已經在積極的作業之後修法原則也已經出來了那在公水平分配的部分也已經把相關的指標請地方政府表示所以我們一直在作業你有一句話叫歐隆西道啊哪裡說水平先想法跟我們想法完全不一樣剛好upside down剛好是完全的顛倒了要先割一塊肉出來李素德當初就割962億的地方
transcript.whisperx[216].start 6971.735
transcript.whisperx[216].end 6994.89
transcript.whisperx[216].text 我都想問你怎麼不學學理數的可以聰明一點啊你說好我搞多少個地方給我擬保護品那你那會有事啊你終於就可以退掉啦你現在說我一定要等到大家都一致我就告訴你那一天不會來臨大家都滿意那一天不會來臨那一天不會來臨你知道嗎因為他如果同意的話等個幾萬八十知道嗎那一天不會來臨
transcript.whisperx[217].start 7000.168
transcript.whisperx[217].end 7013.282
transcript.whisperx[217].text 要等到大家都有公示,那就沒收了我就告訴你這個法都不要修了,草案都不要修了但是我現在跟你講你不提沒關係我們一定要先把中央倒一塊樓下來給地方政府不公平啊,什麼事情都地方政府在做然後你權力這麼大抓在手上
transcript.whisperx[218].start 7025.295
transcript.whisperx[218].end 7051.902
transcript.whisperx[218].text 讓地方政府出越幹亂來跟你要錢這東西要的都沒有尊嚴啦這個東西為了地方建設奇奇怪怪你說要建設什麼建設那個建設這個國安的問題當然總要來做但是太多都是地方政府在做包括這個剛講的你說長照你們要做長照長照也是通過地方衛生局在做的啊都是基本上地方在做的啊
transcript.whisperx[219].start 7053.586
transcript.whisperx[219].end 7080.922
transcript.whisperx[219].text 我再強調一遍只有國防、外交、國安方面地方做不了要國家來做、中央來做這一部分真的中央要做其他都是給地方啦什麼時代了還抓那麼緊這東西你沒有下放錢沒有下放就代表集權跟集錢這個對在新政府還是一樣還是鐵板一塊我會聽這個事情的
transcript.whisperx[220].start 7089.642
transcript.whisperx[220].end 7103.69
transcript.whisperx[220].text 謝謝現在質詢請嚴寬恆、嚴委員主席各位同仁主席我想邀請財政部莊部長請莊部長
transcript.whisperx[221].start 7111.55
transcript.whisperx[221].end 7136.287
transcript.whisperx[221].text 委員好部長好部長恭喜你就任謝謝我們今天主要是審查財政收支劃分法財政部過去喊出六大修法原則第一個是提升財政自主劃一分配基礎調記財政營需保障既有財源精進分配機制
transcript.whisperx[222].start 7137.228
transcript.whisperx[222].end 7156.08
transcript.whisperx[222].text 地方財源不減,但是這些都僅僅停滯在空泛的口號,欠缺實際的計算公式跟距離作法。」因為部長剛剛在回覆所有委員的質詢的時候都有提到說現在財政部才剛要開始要展開版本的作業
transcript.whisperx[223].start 7158.641
transcript.whisperx[223].end 7180.35
transcript.whisperx[223].text 已經作業了已經作業了但是版本還沒有出來對不對所以我們現在還看不到看不到這個院版目前財政收支劃分法簡稱財劃法就是在40年的6月制定到現在這個部分在剛剛也有提到過去是6比4但是經審之後民國88年經審之後把這個
transcript.whisperx[224].start 7183.951
transcript.whisperx[224].end 7209.93
transcript.whisperx[224].text 金省的過程當中的15%總收入的15%然後又納入中央所以變75比25現在變75中央越來越有錢那地方越來越窮那人口增加然後地方的財政困難那剛剛也有提到說所有的除了軍事國防之外也都是地方的機關不管是教育、衛生各個部都一樣都是地方的機關人是在
transcript.whisperx[225].start 7211.075
transcript.whisperx[225].end 7229.372
transcript.whisperx[225].text 在做這樣子的一個服務所以其實對於我們現在的財化法我們版本裡面也有提到就是說要把總收入所得稅總收入的25%以及營業稅總收入減除依法提撥之
transcript.whisperx[226].start 7230.613
transcript.whisperx[226].end 7248.966
transcript.whisperx[226].text 統一編號給獎獎金之後的全部收入的百分之百以及貨物稅的10%以113年度全國總收入15%的規模來計算中央至少要還給地方政府5100多億5100多億讓統籌稅款的規模從現在的3700多億能夠擴增到8900億請教部長你認同這15%還給地方政府的版本嗎?你認不認同?
transcript.whisperx[227].start 7260.964
transcript.whisperx[227].end 7289.226
transcript.whisperx[227].text 委員沒有所謂的還給地方政府也就是說委員這15%可能是算經審前跟經審後的一個差距但是經審的時候把省政府原來做的一些事項以及包含他的負債都是中央承接了那至於地方政府去做原來省的業務的部分中央是給予補助的所以我們把事權事權跟錢其實要相對應是要相對應的我剛剛在聽你的答詢我都有聽到事實上
transcript.whisperx[228].start 7290.608
transcript.whisperx[228].end 7297.787
transcript.whisperx[228].text 審政府就是地方政府,審跟直轄市的位階是同等的。但是後來審、經審以後他的相關職責都到中央來承接了。是。
transcript.whisperx[229].start 7298.808
transcript.whisperx[229].end 7320.127
transcript.whisperx[229].text 所以我們更要說地方民眾現在是繳稅季我們現在辛辛苦苦把這些稅金交給中央政府那中央如何補助地方或者是分回主要有三大類統籌分配款、一般性補助款、計畫性補助款一般性補助款是縣市政府的稅收上繳中央之後中央再依財政裁劃法
transcript.whisperx[230].start 7321.028
transcript.whisperx[230].end 7340.72
transcript.whisperx[230].text 公式計算比例配撥給地方政府,屬於地方政府的財源,應得的財源。台中市以台中市為例,每年上繳給中央的是1400億,過去4年累計將近6000億,但是中央補助地方每案的額度都不盡相同。我要再說一次,一年是1400億,那4年的話就是將近6000億。
transcript.whisperx[231].start 7345.503
transcript.whisperx[231].end 7368.817
transcript.whisperx[231].text 分配給台中市的每年不到一千億。我想要請部長你做一個持平的說法。你認為這樣子對台中市是不是不公平?當然很多,像我們昭緯新北市、還有很多台北市的委員、很多各縣市、22縣市,沒有一個人覺得是公平。我們上繳的錢太多了。我們地方要做的事情太多了。但是錢都在中央。
transcript.whisperx[232].start 7370.12
transcript.whisperx[232].end 7392.872
transcript.whisperx[232].text 所以持平的請部長你持平的講對台中市對其他縣市這樣子來講是不是不公平每一個區域的立委都會為他的區域來爭取我們這可以理解的爭取資源但是台灣每一個區域每一個縣市他的自然環境也好公山發展條件也不同那這個部分差距這麼大的情況下
transcript.whisperx[233].start 7393.932
transcript.whisperx[233].end 7419.434
transcript.whisperx[233].text 財政收支劃分法就有一個要調劑營需的功能然後要促進區域之間的一個均衡的發展這個部分是要做到的那另外就是說在市權的部分中央所承擔的一個市權跟地方所承擔的市權跟錢之間的分配也要有關聯因為中央有很多事情是屬於中央在做的所以中央也需要一定的一個財政的一個能量跟財政的一個韌性所以大家都會覺得說自己的縣市
transcript.whisperx[234].start 7421.475
transcript.whisperx[234].end 7447.042
transcript.whisperx[234].text 分配的不夠多。」我想這個部分我可以理解這也就是說我們在水平分配的時候必須要有一個很清楚很明確的指標讓大家都可以覺得說可以有一個共識來做這個但是我知道難度非常高啦因為大家都會為自己的縣市來爭取比較好的資源這是可以理解是那部長那我再請教齁這個土地增值稅啊土地增值稅是地方稅那是不是地方稅對吧
transcript.whisperx[235].start 7448.95
transcript.whisperx[235].end 7461.822
transcript.whisperx[235].text 是地方稅。地價稅、填付、房屋稅之類都是地方稅。本席認為100%應該要都歸給地方政府才對。為什麼中央還要抽走20%來做統籌分配呢?這是什麼法?
transcript.whisperx[236].start 7465.565
transcript.whisperx[236].end 7484.334
transcript.whisperx[236].text 抽走了以後其實又分配下去還是分配下去不是中央要拿走所以對於這個稅收怎麼將來的分成就是稅收分成的部分將來也會在我們這邊一起考慮要不要直接分還是說因為土生稅本來就是你拿走了他的20%然後再也是一樣20%還給他嗎並不是嘛不是還給他啦
transcript.whisperx[237].start 7486.415
transcript.whisperx[237].end 7502.783
transcript.whisperx[237].text 並不是嘛,那所以所以一樣就是等於是說這是地方稅可是必須有20%必須由中央來做統籌分配在這去分配出去還是分配出去的對會到縣市裡面去可是為什麼要比如說土地的地價稅的增加這些應該說是
transcript.whisperx[238].start 7504.864
transcript.whisperx[238].end 7529.796
transcript.whisperx[238].text 地方政府努力施政得到的重要成果嘛。台北市的成果、台中市的成果然後我不知道你要分配到哪裡。這怎麼公平呢?你要怎麼做?這叫黑箱嗎?我可以說它是黑箱嗎?沒有分配的話都是按照公式來分配的。公式來分配。然後其實在分配的時候其實有一個很重要的觀點。城市治理部長,部長你也清楚對不對?城市治理當然...
transcript.whisperx[239].start 7530.476
transcript.whisperx[239].end 7532.957
transcript.whisperx[239].text 提供財政收支劃分法:立法院第11屆第1會期財政收支劃分法
transcript.whisperx[240].start 7550.086
transcript.whisperx[240].end 7573.829
transcript.whisperx[240].text 他不知道或者是他也不能夠了解的這些統籌分配這我覺得不公平所以中央不能拿走這20%啦我用部長這個要我極力的要求這個部分在我們未來的這個新的院版出來我們財政部對於我們財政收支劃分法統籌分配款這一些我們要做一個全面的設計啦
transcript.whisperx[241].start 7576.851
transcript.whisperx[241].end 7603.56
transcript.whisperx[241].text 這一定要做一個決定的設計因為時過境遷那麼久了民國40年6月到民國88年精神一直到現在對不對從6比4到75比25那沒有得到一個合理公正大家可以認同的當然剛剛也有提到各縣市有各縣市的堅持每個立委有每個立委的一個責任但是我相信只要提出願版然後大家跟黨團的版本來做一個磋商我們討論出一個最好的好不好
transcript.whisperx[242].start 7603.8
transcript.whisperx[242].end 7609.934
transcript.whisperx[242].text 好,謝謝委員。謝謝。那我再來再請教,就是說這個我們
transcript.whisperx[243].start 7613.999
transcript.whisperx[243].end 7630.989
transcript.whisperx[243].text 已經25年沒有修正所以我們期待一個健全財政的統籌法新的版本根據政府公布的國債中截至5月10日中央政府一年以上債務月償還的餘額為5兆5.9938兆這6兆 接近6兆國民黨都十分關注可不可以請部長簡單說明一下
transcript.whisperx[244].start 7643.1
transcript.whisperx[244].end 7665.637
transcript.whisperx[244].text 跟委員報告我們的長期債務是5兆9938億那這個部分我們會在5月6月的時候大額稅款進來的時候我們就會去優先去做還債會做還債那我們對債務的控管其實都一直要符合公共債務法的規定那我們現在距離公共債務法的一個一個空間其實還有我們目前實際的債務比例是2626而已對那
transcript.whisperx[245].start 7668.539
transcript.whisperx[245].end 7670.084
transcript.whisperx[245].text 公共債務法是40.6,但是我們實際債務佔我們GDP的比例是26點多
transcript.whisperx[246].start 7674.949
transcript.whisperx[246].end 7692.074
transcript.whisperx[246].text 我還要這麼講啦,因為每一年都超徵齁,民眾在意的就是你政府今年又從民眾身上拿了多少錢,連續三年超徵接近1.3兆對不對?不是超徵,我們的稅款每一塊錢都是依法來支收的,只是說收的金額是我比預算數來的高,那是超過預算數的部分
transcript.whisperx[247].start 7699.756
transcript.whisperx[247].end 7718.604
transcript.whisperx[247].text 今天是新政府上台的第一天所以我們所有的委員、我們立法院的同仁都希望說尤其財政部財政部掌管著整個國家的一個財政大權那如何照顧人民、如何法令健全、如何優化我們的財政這個才是最重要的好不好好謝謝委員的質詢謝謝謝謝委員謝謝現在質詢請鄭天財政委員
transcript.whisperx[248].start 7730.205
transcript.whisperx[248].end 7758.235
transcript.whisperx[248].text 五加一。」主席、各位委員、有請部長。請莊部長。委員好。部長好。這個財政收支劃分法25年沒有修正了。這樣的一個情況
transcript.whisperx[249].start 7760.725
transcript.whisperx[249].end 7772.562
transcript.whisperx[249].text 對越偏遠的縣越偏遠的鄉那就更不利了基本上會是這樣所以這個部分是財政部這邊要這個
transcript.whisperx[250].start 7774.724
transcript.whisperx[250].end 7803.067
transcript.whisperx[250].text 要積極地來去,這個如果拿出你們的版本很難拿出來的話,就是應該要依立法委員的版本怎麼樣去做最好的一個來去做修正。好,我們這個援助民主的部分,憲法徵修條文第4條規定得很清楚,要積極維護發展援助民主語言及文化。
transcript.whisperx[251].start 7804.578
transcript.whisperx[251].end 7827.414
transcript.whisperx[251].text 第12項憲法徵修條文因依民主院保障原住民族的地位及政治參與並對其教育文化、交通水利、衛生、醫療、經濟、土地、社會福利、事業予以保障、輔助並促其發展所以這些都是需要經費才有辦法
transcript.whisperx[252].start 7828.789
transcript.whisperx[252].end 7846.467
transcript.whisperx[252].text 之所以憲法徵修條文會把它列進去就是這些都是需要積極地來辦理的部分所以根據這個條文憲法徵修條文其辦法另以法律定之所以有了原住民族基本法
transcript.whisperx[253].start 7847.308
transcript.whisperx[253].end 7874.627
transcript.whisperx[253].text 原住民族基本法裏面定了很多需要做的事情基本上主要就在這個部分甚至對於交通水利這些相關的這些需要包括工程的很多的建設原基法也規定要成立建設基金但是這個基金到現在也沒有成立所以第一個
transcript.whisperx[254].start 7876.371
transcript.whisperx[254].end 7878.744
transcript.whisperx[254].text 財化法25年來沒有修正
transcript.whisperx[255].start 7880.05
transcript.whisperx[255].end 7906.671
transcript.whisperx[255].text 我過去也提出這個財化法針對原住民族地區的一個條文也都沒有機會然後原基法也定了說應該設置這個建設基金原住民族建設基金也不成立也不定也不定這個辦法所以這個部分我們就是
transcript.whisperx[256].start 7908.069
transcript.whisperx[256].end 7919.09
transcript.whisperx[256].text 我剛講的一開始講的這個25年來沒有修越偏遠的縣市越偏遠的鄉那絕對是最不利是不是這樣
transcript.whisperx[257].start 7921.465
transcript.whisperx[257].end 7949.497
transcript.whisperx[257].text 目前來說對於原住民這個部分有一些相關的規定尤其在地方制度法裡面也有一些規定我想那另外當然這個部分有原基法或其他憲法裡面對原住民傳統領域的或者是地區的一個保障那至於財化法的部分它有一個功能就是要調節營需然後促進一個均衡的發展所以我想在這個部分對原住民這個區域的一個發展所需要的經費
transcript.whisperx[258].start 7950.317
transcript.whisperx[258].end 7963.6
transcript.whisperx[258].text 依照現行地制法的規定已經有所規定了。這個你們今天的報告裡面你們的結論還要再討論所以這個部分已經討論了20不要說20幾年了最起碼我從第8屆當立法委員就開始大家
transcript.whisperx[259].start 7976.516
transcript.whisperx[259].end 8005.096
transcript.whisperx[259].text 各地方的立委都一直提,原住民的立委也提,始終沒有辦法提。所以這個部分呢,是我剛就承諾我剛講的,還是如果因為你們這個考慮很多啦,拿不出來的話就能夠希望能夠支持原住民立委的版本。就以這個今天來講的也有原住民的版本。所以針對原住民族第七,事實上你們提到地方制度法,事實上地方制度法也沒有辦法解決嘛。
transcript.whisperx[260].start 8006.477
transcript.whisperx[260].end 8024.95
transcript.whisperx[260].text 也沒有辦法解,不要去談那個地方制度法。所以這個部分,所以我剛剛講的,我們就講離島,離島那個也是離島建設基金啊,早就用光了,早就用光了,用了好多年了。
transcript.whisperx[261].start 8026.311
transcript.whisperx[261].end 8051.163
transcript.whisperx[261].text 也都沒有、也都不修所以類似像這樣的這個當然我也要提出離島結合基金的修正條文所以像這樣的一個這些必須要正式的去面對了這個部長是那我想原住民地區尤其在直轄市裡面的原住民區它因為不是一個地方自治團體說客收入劃分跟參與那個
transcript.whisperx[262].start 8052.708
transcript.whisperx[262].end 8071.439
transcript.whisperx[262].text 分配的一個主體,那跟地質法有關係,我想這個部分可能要地質法那邊要並同去做考量的。對。那個部長,這個原來的山地鄉有包含對不對?對。對。原來的山地鄉有包含
transcript.whisperx[263].start 8072.455
transcript.whisperx[263].end 8101.324
transcript.whisperx[263].text 但是後來因為成立五都的時候成立五都的時候有一部分的山地鄉就變成山地行政、山地區所以它本來是在財化法的範圍裡面的那因為這個地方制度法的修正結果就不見了所以這個部分所以應該要去面對啊應該要去修法而不是因為地方制度法基本上
transcript.whisperx[264].start 8102.584
transcript.whisperx[264].end 8130.878
transcript.whisperx[264].text 並沒有去做財源的主要的一個規劃。他有在裡面規定就只想要是必須對三住民要設算補助。那他的方式項目跟程序都要跟三原住民區來做協商。之前的關係要趕高鐵了。不是我趕高鐵,他要趕高鐵了。最後一句話。最後一句話。我就舉例子。譬如說04、03地震那個房屋稅
transcript.whisperx[265].start 8132.148
transcript.whisperx[265].end 8153.399
transcript.whisperx[265].text 免收,對不對?那地方怎麼辦呢?很窮困的鄉鎮啊,所以中央就應該去補助啊,去補助這個稅,地方稅減少啦,就應該去補助,尤其是花蓮縣這些更窮困的這些鄉好不好?好。好,謝謝。好,謝謝。謝謝二位。下一位質詢請,奈會員、奈委員。
transcript.whisperx[266].start 8157.672
transcript.whisperx[266].end 8180.305
transcript.whisperx[266].text 今天的質詢到這場王室堅委員發言完畢為止,時間可能會延幾分鐘,謝謝。好,謝謝主席,謝謝政委員,因為我今天要趕回台南參加國宴,謝謝。那有請財政部部長,還有我們的副社署署長。副社署,宋署長。
transcript.whisperx[267].start 8183.052
transcript.whisperx[267].end 8206.983
transcript.whisperx[267].text 部長、委員好、下午好我想今天我們財政委員會在審查整個統籌分配款的一個款項那在這裡我要先請教財政部部長部長請教你整個統籌分配款這個稅款對地方政府你個人認為影響最大的是什麼當然是錢嘛
transcript.whisperx[268].start 8207.943
transcript.whisperx[268].end 8222.208
transcript.whisperx[268].text 全是最大的還有就是說你以這麼豐富的一個部長的一個經驗你認為在這個整體來講就是地方政府受到統籌分配款項最大的一個影響是什麼
transcript.whisperx[269].start 8223.861
transcript.whisperx[269].end 8244.302
transcript.whisperx[269].text 這個很籠統,那當然你怎麼回答怎麼對啦,請回答,謝謝。統籌分配稅款分,尤其是普統的部分,我們統籌分配稅款分為兩塊,就是特統跟普統,那普統事實上是屬於地方政府的稅客收入,所以在他裡面是一個他的一個重要的一個財源。是。是。
transcript.whisperx[270].start 8245.568
transcript.whisperx[270].end 8265.393
transcript.whisperx[270].text 對,重要當然就是地方政府的一個重要的財源那我們從2024年中央的統籌分配款的這一個款項裡頭我們用直轄市的這一個這個大家所分配到那個所分配到的就是說在六都裡頭那台南市拿了最少他只有拿到280億那其實這麼少的一個錢對台南市
transcript.whisperx[271].start 8271.354
transcript.whisperx[271].end 8297.187
transcript.whisperx[271].text 他幾乎就是一直分配的金額都是墊底相對的就是說台北他可以拿到603那在高雄可以拿到434億那在台中也有387那桃園303甚至新北468那相對的就是說我們觀察到台南市他分配的金額他一路的一個墊底那這對於我們台南市的一個整體
transcript.whisperx[272].start 8297.947
transcript.whisperx[272].end 8324.397
transcript.whisperx[272].text 即是地方的一個發展其實受到很大的一個影響那在這裡我要請教部長就是說其實地方財政的自籌率僅佔了10%所以我們地區其實是很難就是說被看見了不曉得就是說這個依賴度就是最高的可是分配又是最少的部長有沒有什麼比較好的一個解決的一個方式呢
transcript.whisperx[273].start 8325.506
transcript.whisperx[273].end 8328.928
transcript.whisperx[273].text 目前由於統籌分配稅款給直轄市指標有人口還有土地面積還有營業還有財政能力那台南市的人口土地面積還有營業額
transcript.whisperx[274].start 8336.142
transcript.whisperx[274].end 8354.414
transcript.whisperx[274].text 比其他職項低,但自籌財源比例比較低,所以在財政能力這一項是有利的。所以目前來看起來有一項是有利的,所以在其他人口或面積以及營業額部分事實上是因為它比較低,所以它在相對的分配上就會有一些影響。」
transcript.whisperx[275].start 8355.975
transcript.whisperx[275].end 8382.703
transcript.whisperx[275].text 目前他的自籌財源比例是37.1%但是加計稅款之後自有財源的比例已經達到62.7%了所以這樣子的一個政策面是不是現行的一個分配方式在下頁會不會容易造成就是說窮的更窮那甚至就是說再加重考量自籌利基發展的狀況的叢尼的一個公式呢
transcript.whisperx[276].start 8384.144
transcript.whisperx[276].end 8411.681
transcript.whisperx[276].text 委員這就是我們目前在作業當中的也就是說對於分配的公式我們認為應該要做一個檢討跟調整那但是呢各地方政府可以提出相關的一些分配公式裡面的指標但是因為目前意見還蠻分歧的所以這個部分我們一直在整合希望能夠有一個共識所以部長如果我們把這整個稅款然後下放到地方會不會比現行的一個制度面更好呢
transcript.whisperx[277].start 8413.602
transcript.whisperx[277].end 8431.715
transcript.whisperx[277].text 稅款下放給地方,然後放之外還要做什麼樣的分配,能夠達到真正的條件營需跟區域均衡發展,那也更重要的事。那你有沒有把握這樣的分配會比現行的一個制度更好呢?這就是我們要努力讓比現在更好。你認為會更好嗎?看起來是有困難。
transcript.whisperx[278].start 8432.835
transcript.whisperx[278].end 8452.726
transcript.whisperx[278].text 有困難也要做。有困難也要做,那做到什麼樣的程度呢?好,謝謝部長。那我們就針對的就是說,在講到就是台股的指數在一直創新高,那政守稅是不是可能成為一個新的財源?這個是一個很嚴肅的一個問題。我們知道在102年到
transcript.whisperx[279].start 8455.467
transcript.whisperx[279].end 8476.747
transcript.whisperx[279].text 在2005年曾經徵手稅、我們收了政見交易所得稅後來有考慮到停徵的這些問題所以造成了很大很大的股票、股市的下跌在這裡我要請問部長,今年的帳戶已經
transcript.whisperx[280].start 8480.05
transcript.whisperx[280].end 8490.087
transcript.whisperx[280].text 接近18%了,沿剩餘國際的一個股市,那我們會不會考慮就是說政守稅是不是可能成為我們一個新開闢的一個財源呢?
transcript.whisperx[281].start 8492.895
transcript.whisperx[281].end 8514.474
transcript.whisperx[281].text 有沒有這樣子的一個討論呢?目前並沒有討論所謂政所稅這個部分但是目前來說至於個人出售的上市櫃股票的政所稅事實上是停徵的但是出售未上市櫃股票的交易所得是在110年開始已經課徵的基本所得稅額這個部分
transcript.whisperx[282].start 8515.274
transcript.whisperx[282].end 8523.826
transcript.whisperx[282].text 所以你沒有收了正手稅那是不是會造成這些有錢的這些老闆更有錢然後一般的老百姓更窮啊會不會這樣子的一個狀況顯然就是會啊
transcript.whisperx[283].start 8527.58
transcript.whisperx[283].end 8550.746
transcript.whisperx[283].text 那你投資沒有投資的收入沒有浪費那這樣子有錢人會是更有錢那就是說這個貧富的懸殊會更嚴重那怎麼辦呢我想現在我們在所得稅的部分呢其實已經有相關的一些機制那對於稅率的部分也是按照有最高是40%有在課證對那顯然40%還不夠啊因為他賺的錢遠遠超過我們收他的一個稅啊嗯是
transcript.whisperx[284].start 8557.321
transcript.whisperx[284].end 8575.969
transcript.whisperx[284].text 所以部長有沒有考慮呢?目前並沒有考慮這方面在政所稅的原來停徵的部分要復徵那會不會考慮呢?萬一就是說股市他看起來顯然就是說台灣現在不是我們台灣錢現在不是銀卡吧?我看是銀到股市啊
transcript.whisperx[285].start 8576.889
transcript.whisperx[285].end 8597.939
transcript.whisperx[285].text 所以我們是不是可以造就一般的一個百姓他們也可以就是在一個公平的稅制裡頭然後一樣在股市裡頭的一個投資呢?跟委員報告這個必須要審慎的考量因為必須要考量社會經濟的發展還有租稅公平等等各個方面的意見我想這個要有社會各界共識以後
transcript.whisperx[286].start 8598.439
transcript.whisperx[286].end 8620.199
transcript.whisperx[286].text 所以啊我們希望共享經濟成果啊所以是不是就是說優先把他這些賺的錢用來社會福利的一個政策有沒有辦法我們把合理的一個政所稅的一個制度就是一定比例用於專門的一個社會福利有沒有機會可以操作這一方面去設計嗎政所稅的相關的課徵我們要審慎的研議對
transcript.whisperx[287].start 8623.868
transcript.whisperx[287].end 8650.578
transcript.whisperx[287].text 部長,我這樣跟你提這個問題,我看你比我還緊張。我沒有緊張。好,謝謝。那本席在這裡要求財政部就是評估現行的統籌分配的一個稅款中各區域的分配的一個比例的計算方式是不是合理。那並且評估更有效的將這個統籌分配款項分配給弱勢的縣市的一個做法。
transcript.whisperx[288].start 8652.459
transcript.whisperx[288].end 8670.055
transcript.whisperx[288].text 第二項我們希望就是跟金管會的合作評估如何在對市場影響最小的前提之下那我們來徵收這個政守稅並且評估能提供多少財源給社會福利制度請一個院內提出書面報告謝謝部長
transcript.whisperx[289].start 8678.014
transcript.whisperx[289].end 8680.916
transcript.whisperx[289].text 今天最後一位執行卿王世堅王委員謝謝主席我請部長莊部長委員好部長恭喜喔你是極少數能夠留任的重要閣員
transcript.whisperx[290].start 8703.669
transcript.whisperx[290].end 8728.972
transcript.whisperx[290].text 那也誠如當年當時啦大概一個半月以前吧我對你質詢的時候那時候也是信心滿滿的你還問說怎麼知道我不會留任結果你真的是留任了你有做得很好的部分就是我提的你把我們的國產
transcript.whisperx[291].start 8731.683
transcript.whisperx[291].end 8760.054
transcript.whisperx[291].text 稅金當作你個人的實質價你的表情就告訴了我們全體國人誰也休想搶走我的實質價所以我們要你該不合時宜的稅制該要降的對生斗小民的稅那這個部分你都跟我答覆說你必須找到替代財源
transcript.whisperx[292].start 8762.935
transcript.whisperx[292].end 8786.802
transcript.whisperx[292].text 結果我就舉當年民國107年那時候那天也沒怎麼樣可能太陽大了一點風大了一點財政部一個爽快就把最高級巨的富人稅就取消了也沒有找到任何替代財源之下沒有任何可以替代的之下
transcript.whisperx[293].start 8787.976
transcript.whisperx[293].end 8804.482
transcript.whisperx[293].text 馬上取消一個年度差了將近100億、98億6個年度到今年下來幫富人省了600億的稅金我今天要跟你提的前幾位委員一開始就提到就是說現在我們國債的問題
transcript.whisperx[294].start 8807.023
transcript.whisperx[294].end 8827.25
transcript.whisperx[294].text 我們的國債高達6兆4千億平均我們每一位國民要分擔27.4萬元的債務那這是相當高也相當可怕的一個事情我認為當務之急有幾件事情馬上應該做第一個立刻恢復富人稅
transcript.whisperx[295].start 8829.226
transcript.whisperx[295].end 8855.226
transcript.whisperx[295].text 財政收支劃分法不止生斗小民極具的叛亂連這些富人啊我相信部長你這麼多年來光聽其他富人我不舉我就舉一位叫郭台銘郭台銘先生講了這句話說政府趕快來科富人稅趕快來科富人稅講了不下十次
transcript.whisperx[296].start 8857.382
transcript.whisperx[296].end 8869.682
transcript.whisperx[296].text 結果我們政府文文不動財政部也是反正刪了就刪了你們說當初刪你們說是要流財攬財
transcript.whisperx[297].start 8873.099
transcript.whisperx[297].end 8894.948
transcript.whisperx[297].text 財能的財啦那那個財有沒有留到我不曉得你們倒是真的留了財財產的財留了財給這些富人們這倒是真的啦那我覺得如果說連富人們連郭台銘都站出來說趕快徵富人稅結果
transcript.whisperx[298].start 8897.813
transcript.whisperx[298].end 8925.381
transcript.whisperx[298].text 你們視若無睹、自若枉聞那不但深斗小民繼續百思不解而且我們國庫得不到挹注最主要的我們深斗小民們還被這些富人們、被郭台銘吃了豆腐吃了七八年
transcript.whisperx[299].start 8926.735
transcript.whisperx[299].end 8939.65
transcript.whisperx[299].text 他每年講啊來啊來啊來客啊來客啊我願意講啊願意講結果我聽了半天我們生土小民就吃豆腐所以我希望立刻恢復這個富人稅然後
transcript.whisperx[300].start 8943.458
transcript.whisperx[300].end 8970.567
transcript.whisperx[300].text 針對我們生土小民每年報稅的時候免稅額扣除額的提高這一個部分你們又說這個啊要CPI啊累計跟上次調整有CPI有漲百分之三以上但是部長你很清楚嘛那時候我們找主記長他們來報告的時候都很清楚事實上CPI的調查
transcript.whisperx[301].start 8971.963
transcript.whisperx[301].end 8994.607
transcript.whisperx[301].text 無價指數的部分我用兩個字形容施政不是嗎?我們上次討論以後光這個禮拜光最粗淺的一些電媒的調查我們光是在便利商店用的這些便當、義大利麵、飯糰漲幅平均高達40%
transcript.whisperx[302].start 9002.438
transcript.whisperx[302].end 9008.656
transcript.whisperx[302].text 這些都是每天升讀小名上班族學生們平常要去購買的
transcript.whisperx[303].start 9012.26
transcript.whisperx[303].end 9033.886
transcript.whisperx[303].text 這幾項就高達40%其他的飲料大概平均也都漲了一成之多啦所以CPI失增的情況下我認為應該立刻降低這一個限制就是說你如果要調高免稅額扣除額必須CPI年增率高達3%這一個3%我不敢說你把它整個取消
transcript.whisperx[304].start 9039.755
transcript.whisperx[304].end 9055.319
transcript.whisperx[304].text 部長考慮把它降低可以嗎?要不然我們就先降到1.5嘛先減半看看嘛可不可以這是我要求你做的齁等一下我先講完你一次回答齁那麼你比方說這幾年我們調漲這個
transcript.whisperx[305].start 9062.631
transcript.whisperx[305].end 9069.361
transcript.whisperx[305].text 免稅額寬減額這個部分這麼多年來你這個強硬規定之下我們10年來只調漲3次啦106年開始免稅額8萬8條到
transcript.whisperx[306].start 9076.146
transcript.whisperx[306].end 9103.766
transcript.whisperx[306].text 111年九萬二到今年九萬七都只調大概三千五千那麼其他標準扣除而也是上漲十年調了三次而已再來我希望你夠落實加薪減稅部長加薪減稅何其重要你知道嗎因為我們統計這根據官方的統計我們現在有超過三分之二以上的勞工
transcript.whisperx[307].start 9105.147
transcript.whisperx[307].end 9131.922
transcript.whisperx[307].text 領不到平均薪資,薪資的平均數三分之二的勞工領不到耶,天哪所以我認為我們中階的這些收入的民眾嚴重的在這10年來的薪資實質薪資是下滑的所以我希望加薪減稅這些能夠落實也就是說加薪減稅你另外有一條你說
transcript.whisperx[308].start 9133.282
transcript.whisperx[308].end 9144.508
transcript.whisperx[308].text 這些企業、中小企業啦你們要加薪減稅可以你說啊要失業率連續三年達到3.7%以上我認為我認為這個應該取消因為失業率連續半年你說要連續半年3.7%以上我認為把這一條限制取消立刻取消的話我們就可以鼓勵所有企業主對員工來加薪
transcript.whisperx[309].start 9162.657
transcript.whisperx[309].end 9178.302
transcript.whisperx[309].text 那我們政府也能夠既然他做到了我們就大大方方的減他的稅那最後我要跟你提到的就是不合時宜這些稅制我們這前幾個月講了好多次啦你像娛樂稅、印花稅、汽車關稅
transcript.whisperx[310].start 9179.942
transcript.whisperx[310].end 9198.84
transcript.whisperx[310].text 其機車貨物稅尤其是機車貨物稅還有保健品的關稅這些看起來零零總總不少錢但事實上加加起來都沒有你負人稅一減減了600億這些加加起來連600億都不大那我認為比方說娛樂稅那麼他的荒謬的部分這個
transcript.whisperx[311].start 9200.982
transcript.whisperx[311].end 9228.84
transcript.whisperx[311].text 於熱帥方面的部分就是說課稅成本太高嘛課稅成本太高近乎擾民啊然後這個印花稅的話是重複課稅那尤其機車的貨物稅我們一年掛牌20萬輛部機車總共課他50萬稅等於每一台機車一台機車才七八萬元課了兩萬多元的稅這實在太殘忍了吧機車現在
transcript.whisperx[312].start 9230.521
transcript.whisperx[312].end 9245.188
transcript.whisperx[312].text 已經不只是生斗小民的交通工具他是生斗小民的還謀生工具欸 對不對早上在老婆小孩上班上課再來他本人要用這個機車去送貨
transcript.whisperx[313].start 9247.614
transcript.whisperx[313].end 9261.147
transcript.whisperx[313].text 所以我們不應該對機車族這麼摳那你們現在摳財政部也去幫他們找了一個理由你們說啊這個機車污染太重啦齁結果我一查結果欸PM2.5的排放機車這麼總數這麼大的百萬計的機車總共加起來PM2.5佔整個總污染的
transcript.whisperx[314].start 9274.746
transcript.whisperx[314].end 9288.479
transcript.whisperx[314].text 4.8%而已。原因為什麼?因為現在的機車都是通過七級環保的標準。財政4.8%隨便啊一個行業項目都比他高我就講餐廳就好餐廳10%以上然後你對機車課這麼重的貨物稅這個貨物稅重到比大貨車還重大貨車17%那個
transcript.whisperx[315].start 9303.632
transcript.whisperx[315].end 9325.072
transcript.whisperx[315].text 計車17%大貨車才15%而已所以林林總統講這邊那個謝謝趙吉仁因為我不去搭高鐵的所以麻煩你再給我這一分鐘我最後要趕快跟他下一個結論一方面部長我請你回答二方面我剛剛提到的這幾個問題我希望你心上的
transcript.whisperx[316].start 9325.632
transcript.whisperx[316].end 9333.437
transcript.whisperx[316].text 和新氣象的一天,你能夠除了據實的答覆我,同時是不是一個月內能夠對我提的這幾項給我一個具體的答覆,你的看法呢?
transcript.whisperx[317].start 9338.687
transcript.whisperx[317].end 9346.092
transcript.whisperx[317].text 謝謝委員的指教。委員對於107年的有關那個所得稅的稅率從45%降為40%這個部分當時是所得稅制整體的一個考量的一個優化並不是只就這一項那包含在營所稅的部分也從17%提升到20%另外對於標準
transcript.whisperx[318].start 9358.739
transcript.whisperx[318].end 9377.636
transcript.whisperx[318].text 標準扣除額以及相關的薪資所得特別扣除額還幼兒特別扣除額等等都有把它拉高這個部分就是說對於所得低的部分我們也把它能夠扣減的數字可以增加那可以減少它的繳稅的負擔所以那一次的所得稅制的優化是整體的考量
transcript.whisperx[319].start 9378.317
transcript.whisperx[319].end 9381.699
transcript.whisperx[319].text 從45%降為40%這個部分事實上是確實流財攬財希望能有更多人在台灣來然後投資那也跟委員報告事實上這0.85%的人他繳了我們45%的所得稅所以其實所得高的人他其實交了稅是交了大部分的稅而對於沒有達到一定的我們的課稅門檻的其實他都不用繳所得稅這個部分是跟委員報告
transcript.whisperx[320].start 9405.112
transcript.whisperx[320].end 9428.445
transcript.whisperx[320].text 另外跟委員報告就是您剛剛提到的加薪減稅的部分這一次在經濟部修正中小企業發展條例裡面對於您剛剛提到那些不合理的門檻財政部也同意經濟部的意見把這個門檻可以取消掉同時對於加薪的減成的數額提高還有適用的年限拉長這個部分財政部都同意經濟部相關的一個意見目前也在立法院的一個審議當中剛剛委員所提到的有關
transcript.whisperx[321].start 9431.607
transcript.whisperx[321].end 9456.042
transcript.whisperx[321].text 不合十一的稅制的部分,我想這個部分我們也會是不是透過書面的部分逐一跟委員做一個書面的一個報告。好,我加薪減稅,這個門檻刪掉這個你同意啦。是,是,我們同意。好,我很高興,我很高興同意你的同意。是,是。好,那其他的你就具體的用一個書面給我答問好不好?是,跟委員回報,是。好,謝謝您。好,謝謝委員,謝謝主席,謝謝。好,謝謝。
transcript.whisperx[322].start 9463.736
transcript.whisperx[322].end 9467.224
transcript.whisperx[322].text 本議程詢答到這裡,則期再繼續開會。現在休息。