iVOD / 16137

Field Value
影片長度 13136
委員名稱 完整會議
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbd94addd82ee7125bca3bf586b49d470b5baa1e4e1ec1e44cdfdffe4a8d01bd465ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_23
transcript.pyannote[0].start 1860.90471875
transcript.pyannote[0].end 1864.70159375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1865.96721875
transcript.pyannote[1].end 1866.70971875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 1867.26659375
transcript.pyannote[2].end 1869.46034375
transcript.pyannote[3].speaker SPEAKER_23
transcript.pyannote[3].start 1870.05096875
transcript.pyannote[3].end 1874.72534375
transcript.pyannote[4].speaker SPEAKER_20
transcript.pyannote[4].start 1876.36221875
transcript.pyannote[4].end 1893.42284375
transcript.pyannote[5].speaker SPEAKER_20
transcript.pyannote[5].start 1893.99659375
transcript.pyannote[5].end 1898.63721875
transcript.pyannote[6].speaker SPEAKER_20
transcript.pyannote[6].start 1898.73846875
transcript.pyannote[6].end 1901.37096875
transcript.pyannote[7].speaker SPEAKER_20
transcript.pyannote[7].start 1901.69159375
transcript.pyannote[7].end 1908.77909375
transcript.pyannote[8].speaker SPEAKER_20
transcript.pyannote[8].start 1909.09971875
transcript.pyannote[8].end 1913.55471875
transcript.pyannote[9].speaker SPEAKER_20
transcript.pyannote[9].start 1913.97659375
transcript.pyannote[9].end 1917.58784375
transcript.pyannote[10].speaker SPEAKER_20
transcript.pyannote[10].start 1917.94221875
transcript.pyannote[10].end 1920.52409375
transcript.pyannote[11].speaker SPEAKER_20
transcript.pyannote[11].start 1920.91221875
transcript.pyannote[11].end 1932.65721875
transcript.pyannote[12].speaker SPEAKER_20
transcript.pyannote[12].start 1933.12971875
transcript.pyannote[12].end 1940.75721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 1937.97284375
transcript.pyannote[13].end 1938.07409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 1940.75721875
transcript.pyannote[14].end 1942.20846875
transcript.pyannote[15].speaker SPEAKER_20
transcript.pyannote[15].start 1942.64721875
transcript.pyannote[15].end 1942.96784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 1942.96784375
transcript.pyannote[16].end 1942.98471875
transcript.pyannote[17].speaker SPEAKER_20
transcript.pyannote[17].start 1942.98471875
transcript.pyannote[17].end 1943.00159375
transcript.pyannote[18].speaker SPEAKER_23
transcript.pyannote[18].start 1943.00159375
transcript.pyannote[18].end 1943.03534375
transcript.pyannote[19].speaker SPEAKER_20
transcript.pyannote[19].start 1945.90409375
transcript.pyannote[19].end 1945.92096875
transcript.pyannote[20].speaker SPEAKER_23
transcript.pyannote[20].start 1945.92096875
transcript.pyannote[20].end 1954.03784375
transcript.pyannote[21].speaker SPEAKER_20
transcript.pyannote[21].start 1954.03784375
transcript.pyannote[21].end 1955.20221875
transcript.pyannote[22].speaker SPEAKER_20
transcript.pyannote[22].start 1955.72534375
transcript.pyannote[22].end 1961.85096875
transcript.pyannote[23].speaker SPEAKER_23
transcript.pyannote[23].start 1966.17096875
transcript.pyannote[23].end 1981.94909375
transcript.pyannote[24].speaker SPEAKER_23
transcript.pyannote[24].start 1984.46346875
transcript.pyannote[24].end 1989.72846875
transcript.pyannote[25].speaker SPEAKER_23
transcript.pyannote[25].start 1989.96471875
transcript.pyannote[25].end 1990.58909375
transcript.pyannote[26].speaker SPEAKER_23
transcript.pyannote[26].start 1991.50034375
transcript.pyannote[26].end 1992.56346875
transcript.pyannote[27].speaker SPEAKER_23
transcript.pyannote[27].start 1992.79971875
transcript.pyannote[27].end 1993.27221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 2001.91221875
transcript.pyannote[28].end 2004.78096875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 2005.08471875
transcript.pyannote[29].end 2009.62409375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 2009.77596875
transcript.pyannote[30].end 2039.99909375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 2040.28596875
transcript.pyannote[31].end 2058.81471875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 2059.23659375
transcript.pyannote[32].end 2136.59159375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 2137.03034375
transcript.pyannote[33].end 2144.55659375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 2144.74221875
transcript.pyannote[34].end 2165.41409375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 2166.03846875
transcript.pyannote[35].end 2184.07784375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 2184.49971875
transcript.pyannote[36].end 2201.84721875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 2201.93159375
transcript.pyannote[37].end 2210.95971875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 2211.58409375
transcript.pyannote[38].end 2234.26409375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 2234.80409375
transcript.pyannote[39].end 2249.18159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 2249.68784375
transcript.pyannote[40].end 2266.27596875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 2266.44471875
transcript.pyannote[41].end 2272.26659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 2272.78971875
transcript.pyannote[42].end 2285.15909375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 2286.07034375
transcript.pyannote[43].end 2289.34409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 2290.28909375
transcript.pyannote[44].end 2295.41909375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 2295.94221875
transcript.pyannote[45].end 2309.50971875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 2310.75846875
transcript.pyannote[46].end 2318.85846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 2319.58409375
transcript.pyannote[47].end 2329.79346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 2331.00846875
transcript.pyannote[48].end 2334.56909375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 2337.89346875
transcript.pyannote[49].end 2341.28534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 2341.70721875
transcript.pyannote[50].end 2378.20784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 2378.76471875
transcript.pyannote[51].end 2396.87159375
transcript.pyannote[52].speaker SPEAKER_23
transcript.pyannote[52].start 2401.51221875
transcript.pyannote[52].end 2405.59596875
transcript.pyannote[53].speaker SPEAKER_23
transcript.pyannote[53].start 2405.84909375
transcript.pyannote[53].end 2408.24534375
transcript.pyannote[54].speaker SPEAKER_23
transcript.pyannote[54].start 2409.00471875
transcript.pyannote[54].end 2411.80596875
transcript.pyannote[55].speaker SPEAKER_23
transcript.pyannote[55].start 2412.58221875
transcript.pyannote[55].end 2414.25284375
transcript.pyannote[56].speaker SPEAKER_23
transcript.pyannote[56].start 2414.99534375
transcript.pyannote[56].end 2426.63909375
transcript.pyannote[57].speaker SPEAKER_23
transcript.pyannote[57].start 2426.77409375
transcript.pyannote[57].end 2433.10221875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 2437.27034375
transcript.pyannote[58].end 2438.04659375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 2439.91971875
transcript.pyannote[59].end 2439.97034375
transcript.pyannote[60].speaker SPEAKER_23
transcript.pyannote[60].start 2439.97034375
transcript.pyannote[60].end 2440.66221875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 2447.14221875
transcript.pyannote[61].end 2451.34409375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2457.60471875
transcript.pyannote[62].end 2459.08971875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 2459.59596875
transcript.pyannote[63].end 2464.21971875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2464.57409375
transcript.pyannote[64].end 2466.59909375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2467.10534375
transcript.pyannote[65].end 2472.80909375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2473.48409375
transcript.pyannote[66].end 2477.80409375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2478.27659375
transcript.pyannote[67].end 2483.77784375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2484.23346875
transcript.pyannote[68].end 2495.43846875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 2495.74221875
transcript.pyannote[69].end 2498.76284375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 2499.31971875
transcript.pyannote[70].end 2501.76659375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 2502.13784375
transcript.pyannote[71].end 2504.97284375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 2505.51284375
transcript.pyannote[72].end 2506.45784375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 2506.62659375
transcript.pyannote[73].end 2515.68846875
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 2516.31284375
transcript.pyannote[74].end 2523.50159375
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 2523.63659375
transcript.pyannote[75].end 2547.93659375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 2548.40909375
transcript.pyannote[76].end 2551.58159375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 2552.23971875
transcript.pyannote[77].end 2566.63409375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 2566.65096875
transcript.pyannote[78].end 2572.32096875
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 2572.87784375
transcript.pyannote[79].end 2588.47034375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2588.50409375
transcript.pyannote[80].end 2597.07659375
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2597.29596875
transcript.pyannote[81].end 2601.53159375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2601.80159375
transcript.pyannote[82].end 2606.34096875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2606.62784375
transcript.pyannote[83].end 2636.32784375
transcript.pyannote[84].speaker SPEAKER_17
transcript.pyannote[84].start 2618.84534375
transcript.pyannote[84].end 2618.87909375
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2636.90159375
transcript.pyannote[85].end 2639.28096875
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2639.58471875
transcript.pyannote[86].end 2644.36034375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2645.32221875
transcript.pyannote[87].end 2665.06596875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2665.60596875
transcript.pyannote[88].end 2678.44784375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2678.85284375
transcript.pyannote[89].end 2704.58721875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 2683.44284375
transcript.pyannote[90].end 2683.84784375
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2704.99221875
transcript.pyannote[91].end 2720.24721875
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2720.46659375
transcript.pyannote[92].end 2725.15784375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2725.61346875
transcript.pyannote[93].end 2740.58159375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2740.91909375
transcript.pyannote[94].end 2752.98471875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2753.06909375
transcript.pyannote[95].end 2779.10721875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2779.88346875
transcript.pyannote[96].end 2790.76784375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2791.02096875
transcript.pyannote[97].end 2792.96159375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2793.56909375
transcript.pyannote[98].end 2824.63596875
transcript.pyannote[99].speaker SPEAKER_17
transcript.pyannote[99].start 2824.90596875
transcript.pyannote[99].end 2824.95659375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2824.95659375
transcript.pyannote[100].end 2826.96471875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 2826.96471875
transcript.pyannote[101].end 2846.15159375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 2846.40471875
transcript.pyannote[102].end 2853.23909375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 2853.47534375
transcript.pyannote[103].end 2854.40346875
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2853.67784375
transcript.pyannote[104].end 2889.38534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 2856.95159375
transcript.pyannote[105].end 2859.58409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 2872.44284375
transcript.pyannote[106].end 2874.45096875
transcript.pyannote[107].speaker SPEAKER_19
transcript.pyannote[107].start 2879.02409375
transcript.pyannote[107].end 2879.44596875
transcript.pyannote[108].speaker SPEAKER_19
transcript.pyannote[108].start 2880.72846875
transcript.pyannote[108].end 2882.73659375
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2890.26284375
transcript.pyannote[109].end 2890.80284375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 2890.80284375
transcript.pyannote[110].end 2890.95471875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2890.95471875
transcript.pyannote[111].end 2890.97159375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 2890.97159375
transcript.pyannote[112].end 2905.02846875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 2905.02846875
transcript.pyannote[113].end 2909.36534375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2910.09096875
transcript.pyannote[114].end 2930.69534375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 2931.06659375
transcript.pyannote[115].end 2931.92721875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 2931.08346875
transcript.pyannote[116].end 2931.85971875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 2931.92721875
transcript.pyannote[117].end 2946.05159375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 2941.49534375
transcript.pyannote[118].end 2942.11971875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 2943.92534375
transcript.pyannote[119].end 2946.10221875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 2946.10221875
transcript.pyannote[120].end 2946.47346875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 2946.47346875
transcript.pyannote[121].end 2946.55784375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 2946.55784375
transcript.pyannote[122].end 2946.65909375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 2946.65909375
transcript.pyannote[123].end 2946.92909375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 2946.92909375
transcript.pyannote[124].end 2947.03034375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2947.03034375
transcript.pyannote[125].end 2951.87346875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 2947.60409375
transcript.pyannote[126].end 2948.09346875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 2950.01721875
transcript.pyannote[127].end 2950.21971875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2952.43034375
transcript.pyannote[128].end 2961.69471875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 2954.01659375
transcript.pyannote[129].end 2954.25284375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 2957.39159375
transcript.pyannote[130].end 2958.15096875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 2958.60659375
transcript.pyannote[131].end 2959.07909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 2960.71596875
transcript.pyannote[132].end 2979.85221875
transcript.pyannote[133].speaker SPEAKER_24
transcript.pyannote[133].start 2971.07721875
transcript.pyannote[133].end 2971.44846875
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 2978.50221875
transcript.pyannote[134].end 2979.86909375
transcript.pyannote[135].speaker SPEAKER_17
transcript.pyannote[135].start 2979.85221875
transcript.pyannote[135].end 2979.91971875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 2980.22346875
transcript.pyannote[136].end 2980.24034375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2980.24034375
transcript.pyannote[137].end 2980.67909375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2981.47221875
transcript.pyannote[138].end 2982.88971875
transcript.pyannote[139].speaker SPEAKER_17
transcript.pyannote[139].start 2981.48909375
transcript.pyannote[139].end 2981.57346875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 2981.57346875
transcript.pyannote[140].end 2981.80971875
transcript.pyannote[141].speaker SPEAKER_17
transcript.pyannote[141].start 2981.80971875
transcript.pyannote[141].end 2981.86034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 2981.86034375
transcript.pyannote[142].end 2981.96159375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 2982.97409375
transcript.pyannote[143].end 2987.71596875
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 2988.79596875
transcript.pyannote[144].end 3010.96971875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 2997.18284375
transcript.pyannote[145].end 2997.73971875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 3010.96971875
transcript.pyannote[146].end 3018.91784375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 3015.59346875
transcript.pyannote[147].end 3018.93471875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 3018.93471875
transcript.pyannote[148].end 3018.98534375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 3019.22159375
transcript.pyannote[149].end 3019.25534375
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 3019.25534375
transcript.pyannote[150].end 3020.13284375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 3020.13284375
transcript.pyannote[151].end 3020.14971875
transcript.pyannote[152].speaker SPEAKER_23
transcript.pyannote[152].start 3023.40659375
transcript.pyannote[152].end 3025.21221875
transcript.pyannote[153].speaker SPEAKER_22
transcript.pyannote[153].start 3034.03784375
transcript.pyannote[153].end 3036.45096875
transcript.pyannote[154].speaker SPEAKER_23
transcript.pyannote[154].start 3036.72096875
transcript.pyannote[154].end 3037.53096875
transcript.pyannote[155].speaker SPEAKER_22
transcript.pyannote[155].start 3045.44534375
transcript.pyannote[155].end 3046.22159375
transcript.pyannote[156].speaker SPEAKER_22
transcript.pyannote[156].start 3046.66034375
transcript.pyannote[156].end 3047.63909375
transcript.pyannote[157].speaker SPEAKER_22
transcript.pyannote[157].start 3048.16221875
transcript.pyannote[157].end 3053.34284375
transcript.pyannote[158].speaker SPEAKER_22
transcript.pyannote[158].start 3053.59596875
transcript.pyannote[158].end 3067.65284375
transcript.pyannote[159].speaker SPEAKER_22
transcript.pyannote[159].start 3067.72034375
transcript.pyannote[159].end 3068.41221875
transcript.pyannote[160].speaker SPEAKER_22
transcript.pyannote[160].start 3068.54721875
transcript.pyannote[160].end 3086.89034375
transcript.pyannote[161].speaker SPEAKER_22
transcript.pyannote[161].start 3087.02534375
transcript.pyannote[161].end 3087.49784375
transcript.pyannote[162].speaker SPEAKER_22
transcript.pyannote[162].start 3087.97034375
transcript.pyannote[162].end 3102.48284375
transcript.pyannote[163].speaker SPEAKER_22
transcript.pyannote[163].start 3102.93846875
transcript.pyannote[163].end 3105.26721875
transcript.pyannote[164].speaker SPEAKER_22
transcript.pyannote[164].start 3105.52034375
transcript.pyannote[164].end 3116.45534375
transcript.pyannote[165].speaker SPEAKER_22
transcript.pyannote[165].start 3117.01221875
transcript.pyannote[165].end 3118.80096875
transcript.pyannote[166].speaker SPEAKER_22
transcript.pyannote[166].start 3119.13846875
transcript.pyannote[166].end 3126.05721875
transcript.pyannote[167].speaker SPEAKER_22
transcript.pyannote[167].start 3126.42846875
transcript.pyannote[167].end 3132.57096875
transcript.pyannote[168].speaker SPEAKER_22
transcript.pyannote[168].start 3133.49909375
transcript.pyannote[168].end 3135.42284375
transcript.pyannote[169].speaker SPEAKER_22
transcript.pyannote[169].start 3135.94596875
transcript.pyannote[169].end 3141.44721875
transcript.pyannote[170].speaker SPEAKER_22
transcript.pyannote[170].start 3142.32471875
transcript.pyannote[170].end 3144.36659375
transcript.pyannote[171].speaker SPEAKER_22
transcript.pyannote[171].start 3145.49721875
transcript.pyannote[171].end 3150.81284375
transcript.pyannote[172].speaker SPEAKER_22
transcript.pyannote[172].start 3151.50471875
transcript.pyannote[172].end 3163.90784375
transcript.pyannote[173].speaker SPEAKER_22
transcript.pyannote[173].start 3164.17784375
transcript.pyannote[173].end 3166.15221875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 3166.15221875
transcript.pyannote[174].end 3166.16909375
transcript.pyannote[175].speaker SPEAKER_22
transcript.pyannote[175].start 3166.75971875
transcript.pyannote[175].end 3167.13096875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 3167.13096875
transcript.pyannote[176].end 3167.14784375
transcript.pyannote[177].speaker SPEAKER_22
transcript.pyannote[177].start 3168.85221875
transcript.pyannote[177].end 3168.86909375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 3168.86909375
transcript.pyannote[178].end 3169.57784375
transcript.pyannote[179].speaker SPEAKER_22
transcript.pyannote[179].start 3169.05471875
transcript.pyannote[179].end 3169.37534375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 3170.15159375
transcript.pyannote[180].end 3171.40034375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 3171.65346875
transcript.pyannote[181].end 3174.45471875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 3174.69096875
transcript.pyannote[182].end 3178.89284375
transcript.pyannote[183].speaker SPEAKER_22
transcript.pyannote[183].start 3178.06596875
transcript.pyannote[183].end 3186.70596875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 3185.79471875
transcript.pyannote[184].end 3193.32096875
transcript.pyannote[185].speaker SPEAKER_22
transcript.pyannote[185].start 3194.53596875
transcript.pyannote[185].end 3201.23534375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 3194.60346875
transcript.pyannote[186].end 3195.14346875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 3200.34096875
transcript.pyannote[187].end 3209.90909375
transcript.pyannote[188].speaker SPEAKER_22
transcript.pyannote[188].start 3208.40721875
transcript.pyannote[188].end 3220.43909375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 3212.55846875
transcript.pyannote[189].end 3213.46971875
transcript.pyannote[190].speaker SPEAKER_17
transcript.pyannote[190].start 3217.08096875
transcript.pyannote[190].end 3217.31721875
transcript.pyannote[191].speaker SPEAKER_23
transcript.pyannote[191].start 3217.31721875
transcript.pyannote[191].end 3217.35096875
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 3220.89471875
transcript.pyannote[192].end 3229.66971875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 3227.49284375
transcript.pyannote[193].end 3229.68659375
transcript.pyannote[194].speaker SPEAKER_22
transcript.pyannote[194].start 3229.68659375
transcript.pyannote[194].end 3229.73721875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 3229.73721875
transcript.pyannote[195].end 3229.85534375
transcript.pyannote[196].speaker SPEAKER_22
transcript.pyannote[196].start 3229.85534375
transcript.pyannote[196].end 3230.39534375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 3229.88909375
transcript.pyannote[197].end 3231.45846875
transcript.pyannote[198].speaker SPEAKER_22
transcript.pyannote[198].start 3231.45846875
transcript.pyannote[198].end 3240.09846875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 3231.47534375
transcript.pyannote[199].end 3231.69471875
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 3240.18284375
transcript.pyannote[200].end 3247.54034375
transcript.pyannote[201].speaker SPEAKER_22
transcript.pyannote[201].start 3248.01284375
transcript.pyannote[201].end 3278.20221875
transcript.pyannote[202].speaker SPEAKER_22
transcript.pyannote[202].start 3278.74221875
transcript.pyannote[202].end 3280.00784375
transcript.pyannote[203].speaker SPEAKER_22
transcript.pyannote[203].start 3280.37909375
transcript.pyannote[203].end 3281.89784375
transcript.pyannote[204].speaker SPEAKER_22
transcript.pyannote[204].start 3281.93159375
transcript.pyannote[204].end 3286.97721875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 3282.01596875
transcript.pyannote[205].end 3282.03284375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 3282.03284375
transcript.pyannote[206].end 3282.52221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 3283.31534375
transcript.pyannote[207].end 3285.37409375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 3285.67784375
transcript.pyannote[208].end 3285.74534375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 3286.97721875
transcript.pyannote[209].end 3296.93346875
transcript.pyannote[210].speaker SPEAKER_22
transcript.pyannote[210].start 3287.43284375
transcript.pyannote[210].end 3288.07409375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 3297.27096875
transcript.pyannote[211].end 3306.02909375
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 3306.02909375
transcript.pyannote[212].end 3307.56471875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 3307.56471875
transcript.pyannote[213].end 3326.93721875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 3307.59846875
transcript.pyannote[214].end 3310.36596875
transcript.pyannote[215].speaker SPEAKER_22
transcript.pyannote[215].start 3313.01534375
transcript.pyannote[215].end 3313.99409375
transcript.pyannote[216].speaker SPEAKER_22
transcript.pyannote[216].start 3317.62221875
transcript.pyannote[216].end 3318.01034375
transcript.pyannote[217].speaker SPEAKER_22
transcript.pyannote[217].start 3326.93721875
transcript.pyannote[217].end 3337.26471875
transcript.pyannote[218].speaker SPEAKER_22
transcript.pyannote[218].start 3337.61909375
transcript.pyannote[218].end 3340.18409375
transcript.pyannote[219].speaker SPEAKER_22
transcript.pyannote[219].start 3340.43721875
transcript.pyannote[219].end 3354.57846875
transcript.pyannote[220].speaker SPEAKER_22
transcript.pyannote[220].start 3354.76409375
transcript.pyannote[220].end 3357.07596875
transcript.pyannote[221].speaker SPEAKER_22
transcript.pyannote[221].start 3357.56534375
transcript.pyannote[221].end 3361.85159375
transcript.pyannote[222].speaker SPEAKER_22
transcript.pyannote[222].start 3362.59409375
transcript.pyannote[222].end 3375.35159375
transcript.pyannote[223].speaker SPEAKER_23
transcript.pyannote[223].start 3370.01909375
transcript.pyannote[223].end 3370.45784375
transcript.pyannote[224].speaker SPEAKER_22
transcript.pyannote[224].start 3375.73971875
transcript.pyannote[224].end 3379.31721875
transcript.pyannote[225].speaker SPEAKER_22
transcript.pyannote[225].start 3379.73909375
transcript.pyannote[225].end 3384.70034375
transcript.pyannote[226].speaker SPEAKER_22
transcript.pyannote[226].start 3385.37534375
transcript.pyannote[226].end 3386.03346875
transcript.pyannote[227].speaker SPEAKER_22
transcript.pyannote[227].start 3386.55659375
transcript.pyannote[227].end 3399.04409375
transcript.pyannote[228].speaker SPEAKER_22
transcript.pyannote[228].start 3399.88784375
transcript.pyannote[228].end 3400.05659375
transcript.pyannote[229].speaker SPEAKER_22
transcript.pyannote[229].start 3400.73159375
transcript.pyannote[229].end 3403.70159375
transcript.pyannote[230].speaker SPEAKER_22
transcript.pyannote[230].start 3403.97159375
transcript.pyannote[230].end 3409.33784375
transcript.pyannote[231].speaker SPEAKER_22
transcript.pyannote[231].start 3410.50221875
transcript.pyannote[231].end 3418.43346875
transcript.pyannote[232].speaker SPEAKER_22
transcript.pyannote[232].start 3418.68659375
transcript.pyannote[232].end 3426.55034375
transcript.pyannote[233].speaker SPEAKER_22
transcript.pyannote[233].start 3427.22534375
transcript.pyannote[233].end 3442.10909375
transcript.pyannote[234].speaker SPEAKER_22
transcript.pyannote[234].start 3442.44659375
transcript.pyannote[234].end 3447.23909375
transcript.pyannote[235].speaker SPEAKER_22
transcript.pyannote[235].start 3447.52596875
transcript.pyannote[235].end 3450.27659375
transcript.pyannote[236].speaker SPEAKER_22
transcript.pyannote[236].start 3450.58034375
transcript.pyannote[236].end 3453.88784375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 3453.34784375
transcript.pyannote[237].end 3457.33034375
transcript.pyannote[238].speaker SPEAKER_22
transcript.pyannote[238].start 3454.22534375
transcript.pyannote[238].end 3454.42784375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 3457.46534375
transcript.pyannote[239].end 3484.65096875
transcript.pyannote[240].speaker SPEAKER_24
transcript.pyannote[240].start 3461.11034375
transcript.pyannote[240].end 3461.12721875
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 3461.22846875
transcript.pyannote[241].end 3461.27909375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 3479.84159375
transcript.pyannote[242].end 3480.97221875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 3485.08971875
transcript.pyannote[243].end 3491.18159375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 3491.50221875
transcript.pyannote[244].end 3498.57284375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 3500.39534375
transcript.pyannote[245].end 3518.70471875
transcript.pyannote[246].speaker SPEAKER_22
transcript.pyannote[246].start 3517.30409375
transcript.pyannote[246].end 3534.49971875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 3521.91096875
transcript.pyannote[247].end 3524.15534375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 3525.10034375
transcript.pyannote[248].end 3525.64034375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 3533.67284375
transcript.pyannote[249].end 3533.99346875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 3534.49971875
transcript.pyannote[250].end 3534.51659375
transcript.pyannote[251].speaker SPEAKER_22
transcript.pyannote[251].start 3534.51659375
transcript.pyannote[251].end 3534.93846875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 3534.93846875
transcript.pyannote[252].end 3542.61659375
transcript.pyannote[253].speaker SPEAKER_22
transcript.pyannote[253].start 3542.61659375
transcript.pyannote[253].end 3546.12659375
transcript.pyannote[254].speaker SPEAKER_22
transcript.pyannote[254].start 3546.37971875
transcript.pyannote[254].end 3570.67971875
transcript.pyannote[255].speaker SPEAKER_22
transcript.pyannote[255].start 3570.83159375
transcript.pyannote[255].end 3579.62346875
transcript.pyannote[256].speaker SPEAKER_22
transcript.pyannote[256].start 3579.67409375
transcript.pyannote[256].end 3609.44159375
transcript.pyannote[257].speaker SPEAKER_22
transcript.pyannote[257].start 3609.86346875
transcript.pyannote[257].end 3617.27159375
transcript.pyannote[258].speaker SPEAKER_22
transcript.pyannote[258].start 3617.64284375
transcript.pyannote[258].end 3618.41909375
transcript.pyannote[259].speaker SPEAKER_23
transcript.pyannote[259].start 3624.62909375
transcript.pyannote[259].end 3626.24909375
transcript.pyannote[260].speaker SPEAKER_07
transcript.pyannote[260].start 3632.13846875
transcript.pyannote[260].end 3633.82596875
transcript.pyannote[261].speaker SPEAKER_23
transcript.pyannote[261].start 3633.97784375
transcript.pyannote[261].end 3634.80471875
transcript.pyannote[262].speaker SPEAKER_07
transcript.pyannote[262].start 3643.52909375
transcript.pyannote[262].end 3644.62596875
transcript.pyannote[263].speaker SPEAKER_07
transcript.pyannote[263].start 3644.96346875
transcript.pyannote[263].end 3650.31284375
transcript.pyannote[264].speaker SPEAKER_07
transcript.pyannote[264].start 3651.42659375
transcript.pyannote[264].end 3662.59784375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 3664.08284375
transcript.pyannote[265].end 3667.71096875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 3668.09909375
transcript.pyannote[266].end 3673.97159375
transcript.pyannote[267].speaker SPEAKER_07
transcript.pyannote[267].start 3673.97159375
transcript.pyannote[267].end 3676.62096875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 3675.30471875
transcript.pyannote[268].end 3684.06284375
transcript.pyannote[269].speaker SPEAKER_07
transcript.pyannote[269].start 3683.03346875
transcript.pyannote[269].end 3689.96909375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 3689.96909375
transcript.pyannote[270].end 3691.15034375
transcript.pyannote[271].speaker SPEAKER_07
transcript.pyannote[271].start 3691.67346875
transcript.pyannote[271].end 3743.42909375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 3691.75784375
transcript.pyannote[272].end 3692.04471875
transcript.pyannote[273].speaker SPEAKER_17
transcript.pyannote[273].start 3714.16784375
transcript.pyannote[273].end 3714.67409375
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 3743.53034375
transcript.pyannote[274].end 3759.05534375
transcript.pyannote[275].speaker SPEAKER_07
transcript.pyannote[275].start 3759.25784375
transcript.pyannote[275].end 3784.65471875
transcript.pyannote[276].speaker SPEAKER_07
transcript.pyannote[276].start 3785.16096875
transcript.pyannote[276].end 3786.86534375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 3787.25346875
transcript.pyannote[277].end 3795.70784375
transcript.pyannote[278].speaker SPEAKER_07
transcript.pyannote[278].start 3795.70784375
transcript.pyannote[278].end 3801.79971875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 3795.75846875
transcript.pyannote[279].end 3796.70346875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 3797.66534375
transcript.pyannote[280].end 3798.88034375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 3801.85034375
transcript.pyannote[281].end 3812.00909375
transcript.pyannote[282].speaker SPEAKER_07
transcript.pyannote[282].start 3811.95846875
transcript.pyannote[282].end 3830.23409375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 3830.23409375
transcript.pyannote[283].end 3836.41034375
transcript.pyannote[284].speaker SPEAKER_07
transcript.pyannote[284].start 3836.20784375
transcript.pyannote[284].end 3848.91471875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 3843.39659375
transcript.pyannote[285].end 3844.02096875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 3844.37534375
transcript.pyannote[286].end 3845.03346875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 3847.95284375
transcript.pyannote[287].end 3848.88096875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 3849.20159375
transcript.pyannote[288].end 3853.87596875
transcript.pyannote[289].speaker SPEAKER_07
transcript.pyannote[289].start 3853.15034375
transcript.pyannote[289].end 3910.22159375
transcript.pyannote[290].speaker SPEAKER_07
transcript.pyannote[290].start 3910.42409375
transcript.pyannote[290].end 3947.31284375
transcript.pyannote[291].speaker SPEAKER_07
transcript.pyannote[291].start 3947.53221875
transcript.pyannote[291].end 3960.37409375
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 3960.93096875
transcript.pyannote[292].end 3967.15784375
transcript.pyannote[293].speaker SPEAKER_07
transcript.pyannote[293].start 3967.27596875
transcript.pyannote[293].end 3985.99034375
transcript.pyannote[294].speaker SPEAKER_07
transcript.pyannote[294].start 3986.63159375
transcript.pyannote[294].end 3989.88846875
transcript.pyannote[295].speaker SPEAKER_07
transcript.pyannote[295].start 3990.20909375
transcript.pyannote[295].end 3996.55409375
transcript.pyannote[296].speaker SPEAKER_07
transcript.pyannote[296].start 3996.92534375
transcript.pyannote[296].end 4001.59971875
transcript.pyannote[297].speaker SPEAKER_07
transcript.pyannote[297].start 4002.08909375
transcript.pyannote[297].end 4002.35909375
transcript.pyannote[298].speaker SPEAKER_07
transcript.pyannote[298].start 4002.66284375
transcript.pyannote[298].end 4006.72971875
transcript.pyannote[299].speaker SPEAKER_07
transcript.pyannote[299].start 4007.37096875
transcript.pyannote[299].end 4025.89971875
transcript.pyannote[300].speaker SPEAKER_07
transcript.pyannote[300].start 4026.16971875
transcript.pyannote[300].end 4027.16534375
transcript.pyannote[301].speaker SPEAKER_07
transcript.pyannote[301].start 4027.73909375
transcript.pyannote[301].end 4028.09346875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 4028.68409375
transcript.pyannote[302].end 4034.64096875
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 4034.67471875
transcript.pyannote[303].end 4049.08596875
transcript.pyannote[304].speaker SPEAKER_07
transcript.pyannote[304].start 4048.36034375
transcript.pyannote[304].end 4079.62971875
transcript.pyannote[305].speaker SPEAKER_24
transcript.pyannote[305].start 4069.43721875
transcript.pyannote[305].end 4070.50034375
transcript.pyannote[306].speaker SPEAKER_07
transcript.pyannote[306].start 4080.15284375
transcript.pyannote[306].end 4089.70409375
transcript.pyannote[307].speaker SPEAKER_07
transcript.pyannote[307].start 4090.12596875
transcript.pyannote[307].end 4094.56409375
transcript.pyannote[308].speaker SPEAKER_07
transcript.pyannote[308].start 4095.47534375
transcript.pyannote[308].end 4101.87096875
transcript.pyannote[309].speaker SPEAKER_07
transcript.pyannote[309].start 4102.41096875
transcript.pyannote[309].end 4107.22034375
transcript.pyannote[310].speaker SPEAKER_07
transcript.pyannote[310].start 4107.67596875
transcript.pyannote[310].end 4112.62034375
transcript.pyannote[311].speaker SPEAKER_07
transcript.pyannote[311].start 4113.43034375
transcript.pyannote[311].end 4139.36721875
transcript.pyannote[312].speaker SPEAKER_07
transcript.pyannote[312].start 4139.41784375
transcript.pyannote[312].end 4144.19346875
transcript.pyannote[313].speaker SPEAKER_07
transcript.pyannote[313].start 4144.93596875
transcript.pyannote[313].end 4147.28159375
transcript.pyannote[314].speaker SPEAKER_07
transcript.pyannote[314].start 4147.90596875
transcript.pyannote[314].end 4149.77909375
transcript.pyannote[315].speaker SPEAKER_07
transcript.pyannote[315].start 4150.55534375
transcript.pyannote[315].end 4151.56784375
transcript.pyannote[316].speaker SPEAKER_07
transcript.pyannote[316].start 4152.00659375
transcript.pyannote[316].end 4154.38596875
transcript.pyannote[317].speaker SPEAKER_07
transcript.pyannote[317].start 4154.89221875
transcript.pyannote[317].end 4156.79909375
transcript.pyannote[318].speaker SPEAKER_07
transcript.pyannote[318].start 4156.96784375
transcript.pyannote[318].end 4178.44971875
transcript.pyannote[319].speaker SPEAKER_07
transcript.pyannote[319].start 4179.25971875
transcript.pyannote[319].end 4203.72846875
transcript.pyannote[320].speaker SPEAKER_07
transcript.pyannote[320].start 4204.18409375
transcript.pyannote[320].end 4221.63284375
transcript.pyannote[321].speaker SPEAKER_07
transcript.pyannote[321].start 4221.91971875
transcript.pyannote[321].end 4224.87284375
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 4225.91909375
transcript.pyannote[322].end 4226.96534375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 4226.96534375
transcript.pyannote[323].end 4241.83221875
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 4241.83221875
transcript.pyannote[324].end 4248.44721875
transcript.pyannote[325].speaker SPEAKER_02
transcript.pyannote[325].start 4248.44721875
transcript.pyannote[325].end 4249.15596875
transcript.pyannote[326].speaker SPEAKER_07
transcript.pyannote[326].start 4248.61596875
transcript.pyannote[326].end 4252.76721875
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 4252.95284375
transcript.pyannote[327].end 4255.63596875
transcript.pyannote[328].speaker SPEAKER_07
transcript.pyannote[328].start 4254.06659375
transcript.pyannote[328].end 4261.40721875
transcript.pyannote[329].speaker SPEAKER_07
transcript.pyannote[329].start 4262.14971875
transcript.pyannote[329].end 4264.12409375
transcript.pyannote[330].speaker SPEAKER_07
transcript.pyannote[330].start 4265.08596875
transcript.pyannote[330].end 4283.12534375
transcript.pyannote[331].speaker SPEAKER_07
transcript.pyannote[331].start 4283.47971875
transcript.pyannote[331].end 4293.65534375
transcript.pyannote[332].speaker SPEAKER_07
transcript.pyannote[332].start 4294.07721875
transcript.pyannote[332].end 4307.61096875
transcript.pyannote[333].speaker SPEAKER_07
transcript.pyannote[333].start 4307.76284375
transcript.pyannote[333].end 4334.98221875
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 4335.25221875
transcript.pyannote[334].end 4347.03096875
transcript.pyannote[335].speaker SPEAKER_07
transcript.pyannote[335].start 4347.09846875
transcript.pyannote[335].end 4349.24159375
transcript.pyannote[336].speaker SPEAKER_07
transcript.pyannote[336].start 4349.51159375
transcript.pyannote[336].end 4351.48596875
transcript.pyannote[337].speaker SPEAKER_07
transcript.pyannote[337].start 4351.84034375
transcript.pyannote[337].end 4352.76846875
transcript.pyannote[338].speaker SPEAKER_07
transcript.pyannote[338].start 4353.83159375
transcript.pyannote[338].end 4357.39221875
transcript.pyannote[339].speaker SPEAKER_07
transcript.pyannote[339].start 4358.03346875
transcript.pyannote[339].end 4361.03721875
transcript.pyannote[340].speaker SPEAKER_17
transcript.pyannote[340].start 4361.34096875
transcript.pyannote[340].end 4361.44221875
transcript.pyannote[341].speaker SPEAKER_07
transcript.pyannote[341].start 4361.44221875
transcript.pyannote[341].end 4363.90596875
transcript.pyannote[342].speaker SPEAKER_07
transcript.pyannote[342].start 4364.19284375
transcript.pyannote[342].end 4364.41221875
transcript.pyannote[343].speaker SPEAKER_07
transcript.pyannote[343].start 4364.63159375
transcript.pyannote[343].end 4365.22221875
transcript.pyannote[344].speaker SPEAKER_23
transcript.pyannote[344].start 4373.50784375
transcript.pyannote[344].end 4373.89596875
transcript.pyannote[345].speaker SPEAKER_23
transcript.pyannote[345].start 4376.35971875
transcript.pyannote[345].end 4377.87846875
transcript.pyannote[346].speaker SPEAKER_19
transcript.pyannote[346].start 4384.67909375
transcript.pyannote[346].end 4386.90659375
transcript.pyannote[347].speaker SPEAKER_19
transcript.pyannote[347].start 4387.04159375
transcript.pyannote[347].end 4387.86846875
transcript.pyannote[348].speaker SPEAKER_19
transcript.pyannote[348].start 4393.21784375
transcript.pyannote[348].end 4405.95846875
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 4407.54471875
transcript.pyannote[349].end 4411.61159375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 4410.95346875
transcript.pyannote[350].end 4411.57784375
transcript.pyannote[351].speaker SPEAKER_19
transcript.pyannote[351].start 4411.61159375
transcript.pyannote[351].end 4427.92971875
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 4428.43596875
transcript.pyannote[352].end 4429.97159375
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 4429.97159375
transcript.pyannote[353].end 4448.02784375
transcript.pyannote[354].speaker SPEAKER_19
transcript.pyannote[354].start 4441.58159375
transcript.pyannote[354].end 4443.69096875
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 4448.02784375
transcript.pyannote[355].end 4523.05409375
transcript.pyannote[356].speaker SPEAKER_19
transcript.pyannote[356].start 4523.76284375
transcript.pyannote[356].end 4525.28159375
transcript.pyannote[357].speaker SPEAKER_19
transcript.pyannote[357].start 4526.07471875
transcript.pyannote[357].end 4551.58971875
transcript.pyannote[358].speaker SPEAKER_19
transcript.pyannote[358].start 4551.77534375
transcript.pyannote[358].end 4553.78346875
transcript.pyannote[359].speaker SPEAKER_19
transcript.pyannote[359].start 4554.28971875
transcript.pyannote[359].end 4557.49596875
transcript.pyannote[360].speaker SPEAKER_19
transcript.pyannote[360].start 4557.59721875
transcript.pyannote[360].end 4558.99784375
transcript.pyannote[361].speaker SPEAKER_02
transcript.pyannote[361].start 4559.28471875
transcript.pyannote[361].end 4591.02659375
transcript.pyannote[362].speaker SPEAKER_19
transcript.pyannote[362].start 4560.51659375
transcript.pyannote[362].end 4563.87471875
transcript.pyannote[363].speaker SPEAKER_19
transcript.pyannote[363].start 4573.40909375
transcript.pyannote[363].end 4578.20159375
transcript.pyannote[364].speaker SPEAKER_19
transcript.pyannote[364].start 4591.02659375
transcript.pyannote[364].end 4593.89534375
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 4594.31721875
transcript.pyannote[365].end 4601.97846875
transcript.pyannote[366].speaker SPEAKER_02
transcript.pyannote[366].start 4601.97846875
transcript.pyannote[366].end 4606.38284375
transcript.pyannote[367].speaker SPEAKER_19
transcript.pyannote[367].start 4604.86409375
transcript.pyannote[367].end 4605.58971875
transcript.pyannote[368].speaker SPEAKER_02
transcript.pyannote[368].start 4606.82159375
transcript.pyannote[368].end 4608.96471875
transcript.pyannote[369].speaker SPEAKER_19
transcript.pyannote[369].start 4607.09159375
transcript.pyannote[369].end 4609.65659375
transcript.pyannote[370].speaker SPEAKER_02
transcript.pyannote[370].start 4609.65659375
transcript.pyannote[370].end 4609.67346875
transcript.pyannote[371].speaker SPEAKER_19
transcript.pyannote[371].start 4609.67346875
transcript.pyannote[371].end 4609.69034375
transcript.pyannote[372].speaker SPEAKER_02
transcript.pyannote[372].start 4609.69034375
transcript.pyannote[372].end 4609.70721875
transcript.pyannote[373].speaker SPEAKER_19
transcript.pyannote[373].start 4609.70721875
transcript.pyannote[373].end 4609.77471875
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 4609.77471875
transcript.pyannote[374].end 4610.02784375
transcript.pyannote[375].speaker SPEAKER_19
transcript.pyannote[375].start 4610.02784375
transcript.pyannote[375].end 4621.97534375
transcript.pyannote[376].speaker SPEAKER_02
transcript.pyannote[376].start 4621.97534375
transcript.pyannote[376].end 4623.03846875
transcript.pyannote[377].speaker SPEAKER_19
transcript.pyannote[377].start 4623.03846875
transcript.pyannote[377].end 4623.78096875
transcript.pyannote[378].speaker SPEAKER_02
transcript.pyannote[378].start 4623.78096875
transcript.pyannote[378].end 4624.03409375
transcript.pyannote[379].speaker SPEAKER_19
transcript.pyannote[379].start 4624.03409375
transcript.pyannote[379].end 4624.96221875
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 4624.96221875
transcript.pyannote[380].end 4625.02971875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 4625.02971875
transcript.pyannote[381].end 4637.97284375
transcript.pyannote[382].speaker SPEAKER_02
transcript.pyannote[382].start 4626.27846875
transcript.pyannote[382].end 4628.11784375
transcript.pyannote[383].speaker SPEAKER_02
transcript.pyannote[383].start 4637.17971875
transcript.pyannote[383].end 4638.00659375
transcript.pyannote[384].speaker SPEAKER_19
transcript.pyannote[384].start 4638.00659375
transcript.pyannote[384].end 4643.03534375
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 4639.81221875
transcript.pyannote[385].end 4640.85846875
transcript.pyannote[386].speaker SPEAKER_24
transcript.pyannote[386].start 4640.85846875
transcript.pyannote[386].end 4641.11159375
transcript.pyannote[387].speaker SPEAKER_24
transcript.pyannote[387].start 4641.55034375
transcript.pyannote[387].end 4641.97221875
transcript.pyannote[388].speaker SPEAKER_02
transcript.pyannote[388].start 4641.97221875
transcript.pyannote[388].end 4642.49534375
transcript.pyannote[389].speaker SPEAKER_19
transcript.pyannote[389].start 4643.50784375
transcript.pyannote[389].end 4643.96346875
transcript.pyannote[390].speaker SPEAKER_19
transcript.pyannote[390].start 4644.48659375
transcript.pyannote[390].end 4648.43534375
transcript.pyannote[391].speaker SPEAKER_19
transcript.pyannote[391].start 4648.99221875
transcript.pyannote[391].end 4660.97346875
transcript.pyannote[392].speaker SPEAKER_02
transcript.pyannote[392].start 4660.97346875
transcript.pyannote[392].end 4664.70284375
transcript.pyannote[393].speaker SPEAKER_02
transcript.pyannote[393].start 4665.42846875
transcript.pyannote[393].end 4666.57596875
transcript.pyannote[394].speaker SPEAKER_19
transcript.pyannote[394].start 4666.57596875
transcript.pyannote[394].end 4671.55409375
transcript.pyannote[395].speaker SPEAKER_02
transcript.pyannote[395].start 4666.59284375
transcript.pyannote[395].end 4668.75284375
transcript.pyannote[396].speaker SPEAKER_19
transcript.pyannote[396].start 4672.26284375
transcript.pyannote[396].end 4673.41034375
transcript.pyannote[397].speaker SPEAKER_19
transcript.pyannote[397].start 4673.62971875
transcript.pyannote[397].end 4676.63346875
transcript.pyannote[398].speaker SPEAKER_19
transcript.pyannote[398].start 4677.78096875
transcript.pyannote[398].end 4680.66659375
transcript.pyannote[399].speaker SPEAKER_02
transcript.pyannote[399].start 4678.00034375
transcript.pyannote[399].end 4687.04534375
transcript.pyannote[400].speaker SPEAKER_19
transcript.pyannote[400].start 4682.40471875
transcript.pyannote[400].end 4692.15846875
transcript.pyannote[401].speaker SPEAKER_02
transcript.pyannote[401].start 4689.37409375
transcript.pyannote[401].end 4689.96471875
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 4690.94346875
transcript.pyannote[402].end 4692.27659375
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 4692.27659375
transcript.pyannote[403].end 4693.84596875
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 4692.74909375
transcript.pyannote[404].end 4698.03096875
transcript.pyannote[405].speaker SPEAKER_19
transcript.pyannote[405].start 4698.03096875
transcript.pyannote[405].end 4702.46909375
transcript.pyannote[406].speaker SPEAKER_19
transcript.pyannote[406].start 4703.44784375
transcript.pyannote[406].end 4708.98284375
transcript.pyannote[407].speaker SPEAKER_19
transcript.pyannote[407].start 4710.19784375
transcript.pyannote[407].end 4715.42909375
transcript.pyannote[408].speaker SPEAKER_02
transcript.pyannote[408].start 4715.93534375
transcript.pyannote[408].end 4722.16221875
transcript.pyannote[409].speaker SPEAKER_19
transcript.pyannote[409].start 4719.96846875
transcript.pyannote[409].end 4726.65096875
transcript.pyannote[410].speaker SPEAKER_02
transcript.pyannote[410].start 4722.49971875
transcript.pyannote[410].end 4722.70221875
transcript.pyannote[411].speaker SPEAKER_02
transcript.pyannote[411].start 4722.73596875
transcript.pyannote[411].end 4726.14471875
transcript.pyannote[412].speaker SPEAKER_19
transcript.pyannote[412].start 4728.15284375
transcript.pyannote[412].end 4735.98284375
transcript.pyannote[413].speaker SPEAKER_19
transcript.pyannote[413].start 4737.24846875
transcript.pyannote[413].end 4740.45471875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 4740.70784375
transcript.pyannote[414].end 4744.04909375
transcript.pyannote[415].speaker SPEAKER_19
transcript.pyannote[415].start 4744.60596875
transcript.pyannote[415].end 4745.78721875
transcript.pyannote[416].speaker SPEAKER_19
transcript.pyannote[416].start 4746.14159375
transcript.pyannote[416].end 4747.27221875
transcript.pyannote[417].speaker SPEAKER_19
transcript.pyannote[417].start 4747.55909375
transcript.pyannote[417].end 4750.71471875
transcript.pyannote[418].speaker SPEAKER_19
transcript.pyannote[418].start 4751.74409375
transcript.pyannote[418].end 4775.87534375
transcript.pyannote[419].speaker SPEAKER_19
transcript.pyannote[419].start 4776.24659375
transcript.pyannote[419].end 4776.82034375
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 4777.91721875
transcript.pyannote[420].end 4778.89596875
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 4779.26721875
transcript.pyannote[421].end 4780.12784375
transcript.pyannote[422].speaker SPEAKER_19
transcript.pyannote[422].start 4780.92096875
transcript.pyannote[422].end 4785.61221875
transcript.pyannote[423].speaker SPEAKER_19
transcript.pyannote[423].start 4786.15221875
transcript.pyannote[423].end 4786.60784375
transcript.pyannote[424].speaker SPEAKER_19
transcript.pyannote[424].start 4787.09721875
transcript.pyannote[424].end 4789.32471875
transcript.pyannote[425].speaker SPEAKER_02
transcript.pyannote[425].start 4789.32471875
transcript.pyannote[425].end 4789.34159375
transcript.pyannote[426].speaker SPEAKER_19
transcript.pyannote[426].start 4790.45534375
transcript.pyannote[426].end 4790.97846875
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 4790.97846875
transcript.pyannote[427].end 4801.03596875
transcript.pyannote[428].speaker SPEAKER_19
transcript.pyannote[428].start 4801.03596875
transcript.pyannote[428].end 4801.06971875
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 4801.06971875
transcript.pyannote[429].end 4808.14034375
transcript.pyannote[430].speaker SPEAKER_19
transcript.pyannote[430].start 4806.09846875
transcript.pyannote[430].end 4812.42659375
transcript.pyannote[431].speaker SPEAKER_02
transcript.pyannote[431].start 4808.42721875
transcript.pyannote[431].end 4810.01346875
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 4813.43909375
transcript.pyannote[432].end 4816.51034375
transcript.pyannote[433].speaker SPEAKER_19
transcript.pyannote[433].start 4817.47221875
transcript.pyannote[433].end 4829.97659375
transcript.pyannote[434].speaker SPEAKER_00
transcript.pyannote[434].start 4823.41221875
transcript.pyannote[434].end 4823.47971875
transcript.pyannote[435].speaker SPEAKER_24
transcript.pyannote[435].start 4823.47971875
transcript.pyannote[435].end 4824.47534375
transcript.pyannote[436].speaker SPEAKER_02
transcript.pyannote[436].start 4824.47534375
transcript.pyannote[436].end 4824.62721875
transcript.pyannote[437].speaker SPEAKER_02
transcript.pyannote[437].start 4826.61846875
transcript.pyannote[437].end 4827.76596875
transcript.pyannote[438].speaker SPEAKER_02
transcript.pyannote[438].start 4829.97659375
transcript.pyannote[438].end 4831.49534375
transcript.pyannote[439].speaker SPEAKER_19
transcript.pyannote[439].start 4831.49534375
transcript.pyannote[439].end 4840.75971875
transcript.pyannote[440].speaker SPEAKER_02
transcript.pyannote[440].start 4831.52909375
transcript.pyannote[440].end 4833.03096875
transcript.pyannote[441].speaker SPEAKER_02
transcript.pyannote[441].start 4839.94971875
transcript.pyannote[441].end 4844.77596875
transcript.pyannote[442].speaker SPEAKER_19
transcript.pyannote[442].start 4841.94096875
transcript.pyannote[442].end 4850.42909375
transcript.pyannote[443].speaker SPEAKER_24
transcript.pyannote[443].start 4848.30284375
transcript.pyannote[443].end 4848.35346875
transcript.pyannote[444].speaker SPEAKER_24
transcript.pyannote[444].start 4848.79221875
transcript.pyannote[444].end 4849.53471875
transcript.pyannote[445].speaker SPEAKER_19
transcript.pyannote[445].start 4851.57659375
transcript.pyannote[445].end 4867.13534375
transcript.pyannote[446].speaker SPEAKER_19
transcript.pyannote[446].start 4868.43471875
transcript.pyannote[446].end 4880.88846875
transcript.pyannote[447].speaker SPEAKER_19
transcript.pyannote[447].start 4881.47909375
transcript.pyannote[447].end 4882.10346875
transcript.pyannote[448].speaker SPEAKER_19
transcript.pyannote[448].start 4882.33971875
transcript.pyannote[448].end 4890.40596875
transcript.pyannote[449].speaker SPEAKER_02
transcript.pyannote[449].start 4888.60034375
transcript.pyannote[449].end 4893.25784375
transcript.pyannote[450].speaker SPEAKER_19
transcript.pyannote[450].start 4891.11471875
transcript.pyannote[450].end 4894.27034375
transcript.pyannote[451].speaker SPEAKER_19
transcript.pyannote[451].start 4894.94534375
transcript.pyannote[451].end 4898.84346875
transcript.pyannote[452].speaker SPEAKER_19
transcript.pyannote[452].start 4899.26534375
transcript.pyannote[452].end 4901.02034375
transcript.pyannote[453].speaker SPEAKER_19
transcript.pyannote[453].start 4901.30721875
transcript.pyannote[453].end 4903.06221875
transcript.pyannote[454].speaker SPEAKER_19
transcript.pyannote[454].start 4903.43346875
transcript.pyannote[454].end 4925.18534375
transcript.pyannote[455].speaker SPEAKER_19
transcript.pyannote[455].start 4925.77596875
transcript.pyannote[455].end 4928.96534375
transcript.pyannote[456].speaker SPEAKER_02
transcript.pyannote[456].start 4928.96534375
transcript.pyannote[456].end 4940.08596875
transcript.pyannote[457].speaker SPEAKER_19
transcript.pyannote[457].start 4934.33159375
transcript.pyannote[457].end 4941.95909375
transcript.pyannote[458].speaker SPEAKER_19
transcript.pyannote[458].start 4943.15721875
transcript.pyannote[458].end 4944.13596875
transcript.pyannote[459].speaker SPEAKER_19
transcript.pyannote[459].start 4944.45659375
transcript.pyannote[459].end 4945.03034375
transcript.pyannote[460].speaker SPEAKER_19
transcript.pyannote[460].start 4945.21596875
transcript.pyannote[460].end 4946.04284375
transcript.pyannote[461].speaker SPEAKER_23
transcript.pyannote[461].start 4951.12221875
transcript.pyannote[461].end 4952.82659375
transcript.pyannote[462].speaker SPEAKER_06
transcript.pyannote[462].start 4966.59659375
transcript.pyannote[462].end 4966.81596875
transcript.pyannote[463].speaker SPEAKER_06
transcript.pyannote[463].start 4966.86659375
transcript.pyannote[463].end 4968.41909375
transcript.pyannote[464].speaker SPEAKER_23
transcript.pyannote[464].start 4968.62159375
transcript.pyannote[464].end 4969.38096875
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 4975.20284375
transcript.pyannote[465].end 4975.67534375
transcript.pyannote[466].speaker SPEAKER_06
transcript.pyannote[466].start 4975.70909375
transcript.pyannote[466].end 4976.73846875
transcript.pyannote[467].speaker SPEAKER_06
transcript.pyannote[467].start 4977.34596875
transcript.pyannote[467].end 4979.60721875
transcript.pyannote[468].speaker SPEAKER_06
transcript.pyannote[468].start 4979.84346875
transcript.pyannote[468].end 4986.37409375
transcript.pyannote[469].speaker SPEAKER_06
transcript.pyannote[469].start 4986.50909375
transcript.pyannote[469].end 4988.02784375
transcript.pyannote[470].speaker SPEAKER_06
transcript.pyannote[470].start 4988.44971875
transcript.pyannote[470].end 4991.47034375
transcript.pyannote[471].speaker SPEAKER_06
transcript.pyannote[471].start 4992.21284375
transcript.pyannote[471].end 4993.15784375
transcript.pyannote[472].speaker SPEAKER_06
transcript.pyannote[472].start 4994.67659375
transcript.pyannote[472].end 4999.35096875
transcript.pyannote[473].speaker SPEAKER_06
transcript.pyannote[473].start 4999.82346875
transcript.pyannote[473].end 5001.83159375
transcript.pyannote[474].speaker SPEAKER_06
transcript.pyannote[474].start 5002.57409375
transcript.pyannote[474].end 5003.60346875
transcript.pyannote[475].speaker SPEAKER_06
transcript.pyannote[475].start 5005.25721875
transcript.pyannote[475].end 5005.83096875
transcript.pyannote[476].speaker SPEAKER_06
transcript.pyannote[476].start 5006.40471875
transcript.pyannote[476].end 5009.91471875
transcript.pyannote[477].speaker SPEAKER_06
transcript.pyannote[477].start 5010.55596875
transcript.pyannote[477].end 5014.84221875
transcript.pyannote[478].speaker SPEAKER_06
transcript.pyannote[478].start 5015.33159375
transcript.pyannote[478].end 5018.90909375
transcript.pyannote[479].speaker SPEAKER_06
transcript.pyannote[479].start 5019.46596875
transcript.pyannote[479].end 5023.29659375
transcript.pyannote[480].speaker SPEAKER_06
transcript.pyannote[480].start 5024.08971875
transcript.pyannote[480].end 5025.13596875
transcript.pyannote[481].speaker SPEAKER_06
transcript.pyannote[481].start 5025.69284375
transcript.pyannote[481].end 5028.62909375
transcript.pyannote[482].speaker SPEAKER_06
transcript.pyannote[482].start 5029.11846875
transcript.pyannote[482].end 5029.99596875
transcript.pyannote[483].speaker SPEAKER_06
transcript.pyannote[483].start 5030.45159375
transcript.pyannote[483].end 5033.21909375
transcript.pyannote[484].speaker SPEAKER_06
transcript.pyannote[484].start 5035.36221875
transcript.pyannote[484].end 5039.12534375
transcript.pyannote[485].speaker SPEAKER_06
transcript.pyannote[485].start 5039.29409375
transcript.pyannote[485].end 5040.13784375
transcript.pyannote[486].speaker SPEAKER_06
transcript.pyannote[486].start 5040.72846875
transcript.pyannote[486].end 5043.31034375
transcript.pyannote[487].speaker SPEAKER_06
transcript.pyannote[487].start 5043.58034375
transcript.pyannote[487].end 5045.58846875
transcript.pyannote[488].speaker SPEAKER_06
transcript.pyannote[488].start 5045.97659375
transcript.pyannote[488].end 5046.92159375
transcript.pyannote[489].speaker SPEAKER_06
transcript.pyannote[489].start 5047.19159375
transcript.pyannote[489].end 5050.19534375
transcript.pyannote[490].speaker SPEAKER_02
transcript.pyannote[490].start 5051.59596875
transcript.pyannote[490].end 5054.04284375
transcript.pyannote[491].speaker SPEAKER_02
transcript.pyannote[491].start 5054.31284375
transcript.pyannote[491].end 5063.07096875
transcript.pyannote[492].speaker SPEAKER_02
transcript.pyannote[492].start 5063.12159375
transcript.pyannote[492].end 5066.98596875
transcript.pyannote[493].speaker SPEAKER_02
transcript.pyannote[493].start 5068.06596875
transcript.pyannote[493].end 5073.19596875
transcript.pyannote[494].speaker SPEAKER_06
transcript.pyannote[494].start 5070.44534375
transcript.pyannote[494].end 5079.37221875
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 5073.82034375
transcript.pyannote[495].end 5075.10284375
transcript.pyannote[496].speaker SPEAKER_06
transcript.pyannote[496].start 5080.70534375
transcript.pyannote[496].end 5090.81346875
transcript.pyannote[497].speaker SPEAKER_02
transcript.pyannote[497].start 5086.49346875
transcript.pyannote[497].end 5087.45534375
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 5090.45909375
transcript.pyannote[498].end 5101.79909375
transcript.pyannote[499].speaker SPEAKER_02
transcript.pyannote[499].start 5102.45721875
transcript.pyannote[499].end 5108.26221875
transcript.pyannote[500].speaker SPEAKER_06
transcript.pyannote[500].start 5106.82784375
transcript.pyannote[500].end 5108.22846875
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 5108.26221875
transcript.pyannote[501].end 5108.27909375
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 5108.27909375
transcript.pyannote[502].end 5108.34659375
transcript.pyannote[503].speaker SPEAKER_06
transcript.pyannote[503].start 5108.88659375
transcript.pyannote[503].end 5110.89471875
transcript.pyannote[504].speaker SPEAKER_06
transcript.pyannote[504].start 5112.31221875
transcript.pyannote[504].end 5116.76721875
transcript.pyannote[505].speaker SPEAKER_17
transcript.pyannote[505].start 5117.18909375
transcript.pyannote[505].end 5117.25659375
transcript.pyannote[506].speaker SPEAKER_06
transcript.pyannote[506].start 5117.83034375
transcript.pyannote[506].end 5119.95659375
transcript.pyannote[507].speaker SPEAKER_06
transcript.pyannote[507].start 5120.34471875
transcript.pyannote[507].end 5122.53846875
transcript.pyannote[508].speaker SPEAKER_06
transcript.pyannote[508].start 5123.65221875
transcript.pyannote[508].end 5125.94721875
transcript.pyannote[509].speaker SPEAKER_06
transcript.pyannote[509].start 5126.20034375
transcript.pyannote[509].end 5126.55471875
transcript.pyannote[510].speaker SPEAKER_06
transcript.pyannote[510].start 5126.87534375
transcript.pyannote[510].end 5133.82784375
transcript.pyannote[511].speaker SPEAKER_06
transcript.pyannote[511].start 5134.99221875
transcript.pyannote[511].end 5136.76409375
transcript.pyannote[512].speaker SPEAKER_06
transcript.pyannote[512].start 5137.03409375
transcript.pyannote[512].end 5137.97909375
transcript.pyannote[513].speaker SPEAKER_06
transcript.pyannote[513].start 5138.41784375
transcript.pyannote[513].end 5144.45909375
transcript.pyannote[514].speaker SPEAKER_06
transcript.pyannote[514].start 5145.04971875
transcript.pyannote[514].end 5146.65284375
transcript.pyannote[515].speaker SPEAKER_06
transcript.pyannote[515].start 5147.42909375
transcript.pyannote[515].end 5148.39096875
transcript.pyannote[516].speaker SPEAKER_06
transcript.pyannote[516].start 5148.88034375
transcript.pyannote[516].end 5150.14596875
transcript.pyannote[517].speaker SPEAKER_06
transcript.pyannote[517].start 5150.55096875
transcript.pyannote[517].end 5151.14159375
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 5151.73221875
transcript.pyannote[518].end 5152.96409375
transcript.pyannote[519].speaker SPEAKER_06
transcript.pyannote[519].start 5153.87534375
transcript.pyannote[519].end 5157.68909375
transcript.pyannote[520].speaker SPEAKER_06
transcript.pyannote[520].start 5158.00971875
transcript.pyannote[520].end 5159.51159375
transcript.pyannote[521].speaker SPEAKER_06
transcript.pyannote[521].start 5160.00096875
transcript.pyannote[521].end 5163.96659375
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 5164.18596875
transcript.pyannote[522].end 5165.95784375
transcript.pyannote[523].speaker SPEAKER_02
transcript.pyannote[523].start 5166.93659375
transcript.pyannote[523].end 5171.77971875
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 5172.84284375
transcript.pyannote[524].end 5177.39909375
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 5175.89721875
transcript.pyannote[525].end 5177.77034375
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 5178.29346875
transcript.pyannote[526].end 5182.74846875
transcript.pyannote[527].speaker SPEAKER_06
transcript.pyannote[527].start 5183.28846875
transcript.pyannote[527].end 5187.18659375
transcript.pyannote[528].speaker SPEAKER_24
transcript.pyannote[528].start 5187.37221875
transcript.pyannote[528].end 5187.65909375
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 5187.65909375
transcript.pyannote[529].end 5187.86159375
transcript.pyannote[530].speaker SPEAKER_06
transcript.pyannote[530].start 5187.84471875
transcript.pyannote[530].end 5191.79346875
transcript.pyannote[531].speaker SPEAKER_24
transcript.pyannote[531].start 5187.86159375
transcript.pyannote[531].end 5188.03034375
transcript.pyannote[532].speaker SPEAKER_02
transcript.pyannote[532].start 5188.03034375
transcript.pyannote[532].end 5192.60346875
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 5192.95784375
transcript.pyannote[533].end 5198.64471875
transcript.pyannote[534].speaker SPEAKER_02
transcript.pyannote[534].start 5199.04971875
transcript.pyannote[534].end 5200.02846875
transcript.pyannote[535].speaker SPEAKER_06
transcript.pyannote[535].start 5200.02846875
transcript.pyannote[535].end 5201.00721875
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 5201.51346875
transcript.pyannote[536].end 5201.53034375
transcript.pyannote[537].speaker SPEAKER_06
transcript.pyannote[537].start 5201.53034375
transcript.pyannote[537].end 5205.17534375
transcript.pyannote[538].speaker SPEAKER_02
transcript.pyannote[538].start 5204.85471875
transcript.pyannote[538].end 5205.07409375
transcript.pyannote[539].speaker SPEAKER_06
transcript.pyannote[539].start 5205.98534375
transcript.pyannote[539].end 5208.28034375
transcript.pyannote[540].speaker SPEAKER_02
transcript.pyannote[540].start 5208.02721875
transcript.pyannote[540].end 5214.60846875
transcript.pyannote[541].speaker SPEAKER_06
transcript.pyannote[541].start 5211.87471875
transcript.pyannote[541].end 5214.76034375
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 5215.21596875
transcript.pyannote[542].end 5218.87784375
transcript.pyannote[543].speaker SPEAKER_06
transcript.pyannote[543].start 5218.21971875
transcript.pyannote[543].end 5218.60784375
transcript.pyannote[544].speaker SPEAKER_02
transcript.pyannote[544].start 5219.31659375
transcript.pyannote[544].end 5220.37971875
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 5219.35034375
transcript.pyannote[545].end 5220.68346875
transcript.pyannote[546].speaker SPEAKER_06
transcript.pyannote[546].start 5220.80159375
transcript.pyannote[546].end 5226.13409375
transcript.pyannote[547].speaker SPEAKER_02
transcript.pyannote[547].start 5225.59409375
transcript.pyannote[547].end 5231.12909375
transcript.pyannote[548].speaker SPEAKER_02
transcript.pyannote[548].start 5231.38221875
transcript.pyannote[548].end 5234.03159375
transcript.pyannote[549].speaker SPEAKER_06
transcript.pyannote[549].start 5233.10346875
transcript.pyannote[549].end 5233.25534375
transcript.pyannote[550].speaker SPEAKER_00
transcript.pyannote[550].start 5233.25534375
transcript.pyannote[550].end 5233.35659375
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 5234.35221875
transcript.pyannote[551].end 5242.72221875
transcript.pyannote[552].speaker SPEAKER_06
transcript.pyannote[552].start 5242.87409375
transcript.pyannote[552].end 5248.08846875
transcript.pyannote[553].speaker SPEAKER_06
transcript.pyannote[553].start 5248.40909375
transcript.pyannote[553].end 5253.33659375
transcript.pyannote[554].speaker SPEAKER_06
transcript.pyannote[554].start 5254.50096875
transcript.pyannote[554].end 5255.86784375
transcript.pyannote[555].speaker SPEAKER_02
transcript.pyannote[555].start 5256.03659375
transcript.pyannote[555].end 5258.23034375
transcript.pyannote[556].speaker SPEAKER_06
transcript.pyannote[556].start 5258.23034375
transcript.pyannote[556].end 5265.52034375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 5266.80284375
transcript.pyannote[557].end 5272.62471875
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 5273.21534375
transcript.pyannote[558].end 5282.41221875
transcript.pyannote[559].speaker SPEAKER_06
transcript.pyannote[559].start 5284.23471875
transcript.pyannote[559].end 5289.73596875
transcript.pyannote[560].speaker SPEAKER_06
transcript.pyannote[560].start 5289.80346875
transcript.pyannote[560].end 5294.47784375
transcript.pyannote[561].speaker SPEAKER_06
transcript.pyannote[561].start 5294.52846875
transcript.pyannote[561].end 5298.34221875
transcript.pyannote[562].speaker SPEAKER_06
transcript.pyannote[562].start 5298.94971875
transcript.pyannote[562].end 5303.40471875
transcript.pyannote[563].speaker SPEAKER_06
transcript.pyannote[563].start 5303.91096875
transcript.pyannote[563].end 5305.56471875
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 5306.23971875
transcript.pyannote[564].end 5309.39534375
transcript.pyannote[565].speaker SPEAKER_06
transcript.pyannote[565].start 5309.63159375
transcript.pyannote[565].end 5310.27284375
transcript.pyannote[566].speaker SPEAKER_06
transcript.pyannote[566].start 5310.40784375
transcript.pyannote[566].end 5314.28909375
transcript.pyannote[567].speaker SPEAKER_06
transcript.pyannote[567].start 5314.55909375
transcript.pyannote[567].end 5322.57471875
transcript.pyannote[568].speaker SPEAKER_06
transcript.pyannote[568].start 5323.43534375
transcript.pyannote[568].end 5327.35034375
transcript.pyannote[569].speaker SPEAKER_06
transcript.pyannote[569].start 5327.99159375
transcript.pyannote[569].end 5329.91534375
transcript.pyannote[570].speaker SPEAKER_06
transcript.pyannote[570].start 5330.43846875
transcript.pyannote[570].end 5332.54784375
transcript.pyannote[571].speaker SPEAKER_06
transcript.pyannote[571].start 5332.68284375
transcript.pyannote[571].end 5337.79596875
transcript.pyannote[572].speaker SPEAKER_06
transcript.pyannote[572].start 5337.98159375
transcript.pyannote[572].end 5340.39471875
transcript.pyannote[573].speaker SPEAKER_06
transcript.pyannote[573].start 5341.05284375
transcript.pyannote[573].end 5346.89159375
transcript.pyannote[574].speaker SPEAKER_06
transcript.pyannote[574].start 5348.56221875
transcript.pyannote[574].end 5349.08534375
transcript.pyannote[575].speaker SPEAKER_06
transcript.pyannote[575].start 5350.13159375
transcript.pyannote[575].end 5350.65471875
transcript.pyannote[576].speaker SPEAKER_06
transcript.pyannote[576].start 5351.02596875
transcript.pyannote[576].end 5354.21534375
transcript.pyannote[577].speaker SPEAKER_06
transcript.pyannote[577].start 5355.26159375
transcript.pyannote[577].end 5355.85221875
transcript.pyannote[578].speaker SPEAKER_06
transcript.pyannote[578].start 5356.25721875
transcript.pyannote[578].end 5357.32034375
transcript.pyannote[579].speaker SPEAKER_06
transcript.pyannote[579].start 5357.82659375
transcript.pyannote[579].end 5360.84721875
transcript.pyannote[580].speaker SPEAKER_06
transcript.pyannote[580].start 5361.57284375
transcript.pyannote[580].end 5362.48409375
transcript.pyannote[581].speaker SPEAKER_02
transcript.pyannote[581].start 5363.37846875
transcript.pyannote[581].end 5366.11221875
transcript.pyannote[582].speaker SPEAKER_02
transcript.pyannote[582].start 5367.07409375
transcript.pyannote[582].end 5374.87034375
transcript.pyannote[583].speaker SPEAKER_06
transcript.pyannote[583].start 5373.31784375
transcript.pyannote[583].end 5373.53721875
transcript.pyannote[584].speaker SPEAKER_02
transcript.pyannote[584].start 5375.24159375
transcript.pyannote[584].end 5378.71784375
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 5377.85721875
transcript.pyannote[585].end 5382.58221875
transcript.pyannote[586].speaker SPEAKER_02
transcript.pyannote[586].start 5383.08846875
transcript.pyannote[586].end 5387.44221875
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 5386.80096875
transcript.pyannote[587].end 5388.47159375
transcript.pyannote[588].speaker SPEAKER_02
transcript.pyannote[588].start 5388.47159375
transcript.pyannote[588].end 5390.00721875
transcript.pyannote[589].speaker SPEAKER_06
transcript.pyannote[589].start 5388.60659375
transcript.pyannote[589].end 5390.53034375
transcript.pyannote[590].speaker SPEAKER_02
transcript.pyannote[590].start 5390.96909375
transcript.pyannote[590].end 5410.27409375
transcript.pyannote[591].speaker SPEAKER_24
transcript.pyannote[591].start 5398.19159375
transcript.pyannote[591].end 5398.63034375
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 5406.22409375
transcript.pyannote[592].end 5406.44346875
transcript.pyannote[593].speaker SPEAKER_06
transcript.pyannote[593].start 5409.76784375
transcript.pyannote[593].end 5412.50159375
transcript.pyannote[594].speaker SPEAKER_02
transcript.pyannote[594].start 5412.50159375
transcript.pyannote[594].end 5414.79659375
transcript.pyannote[595].speaker SPEAKER_02
transcript.pyannote[595].start 5415.10034375
transcript.pyannote[595].end 5422.47471875
transcript.pyannote[596].speaker SPEAKER_06
transcript.pyannote[596].start 5420.21346875
transcript.pyannote[596].end 5424.02721875
transcript.pyannote[597].speaker SPEAKER_02
transcript.pyannote[597].start 5424.80346875
transcript.pyannote[597].end 5424.82034375
transcript.pyannote[598].speaker SPEAKER_06
transcript.pyannote[598].start 5424.82034375
transcript.pyannote[598].end 5425.07346875
transcript.pyannote[599].speaker SPEAKER_02
transcript.pyannote[599].start 5425.07346875
transcript.pyannote[599].end 5425.41096875
transcript.pyannote[600].speaker SPEAKER_06
transcript.pyannote[600].start 5425.29284375
transcript.pyannote[600].end 5425.86659375
transcript.pyannote[601].speaker SPEAKER_06
transcript.pyannote[601].start 5426.64284375
transcript.pyannote[601].end 5430.35534375
transcript.pyannote[602].speaker SPEAKER_02
transcript.pyannote[602].start 5427.04784375
transcript.pyannote[602].end 5432.48159375
transcript.pyannote[603].speaker SPEAKER_06
transcript.pyannote[603].start 5431.14846875
transcript.pyannote[603].end 5434.38846875
transcript.pyannote[604].speaker SPEAKER_02
transcript.pyannote[604].start 5434.30409375
transcript.pyannote[604].end 5434.59096875
transcript.pyannote[605].speaker SPEAKER_06
transcript.pyannote[605].start 5434.59096875
transcript.pyannote[605].end 5442.70784375
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 5442.25221875
transcript.pyannote[606].end 5442.28596875
transcript.pyannote[607].speaker SPEAKER_02
transcript.pyannote[607].start 5442.28596875
transcript.pyannote[607].end 5459.02596875
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 5443.14659375
transcript.pyannote[608].end 5444.02409375
transcript.pyannote[609].speaker SPEAKER_00
transcript.pyannote[609].start 5453.20409375
transcript.pyannote[609].end 5453.22096875
transcript.pyannote[610].speaker SPEAKER_06
transcript.pyannote[610].start 5453.22096875
transcript.pyannote[610].end 5453.60909375
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 5459.02596875
transcript.pyannote[611].end 5473.84221875
transcript.pyannote[612].speaker SPEAKER_17
transcript.pyannote[612].start 5469.65721875
transcript.pyannote[612].end 5469.97784375
transcript.pyannote[613].speaker SPEAKER_00
transcript.pyannote[613].start 5469.97784375
transcript.pyannote[613].end 5469.99471875
transcript.pyannote[614].speaker SPEAKER_06
transcript.pyannote[614].start 5474.58471875
transcript.pyannote[614].end 5485.06409375
transcript.pyannote[615].speaker SPEAKER_06
transcript.pyannote[615].start 5485.57034375
transcript.pyannote[615].end 5487.32534375
transcript.pyannote[616].speaker SPEAKER_06
transcript.pyannote[616].start 5488.48971875
transcript.pyannote[616].end 5489.19846875
transcript.pyannote[617].speaker SPEAKER_06
transcript.pyannote[617].start 5489.99159375
transcript.pyannote[617].end 5490.29534375
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 5490.29534375
transcript.pyannote[618].end 5494.41284375
transcript.pyannote[619].speaker SPEAKER_06
transcript.pyannote[619].start 5494.86846875
transcript.pyannote[619].end 5497.43346875
transcript.pyannote[620].speaker SPEAKER_02
transcript.pyannote[620].start 5495.18909375
transcript.pyannote[620].end 5496.55596875
transcript.pyannote[621].speaker SPEAKER_06
transcript.pyannote[621].start 5498.86784375
transcript.pyannote[621].end 5500.26846875
transcript.pyannote[622].speaker SPEAKER_02
transcript.pyannote[622].start 5499.25596875
transcript.pyannote[622].end 5501.34846875
transcript.pyannote[623].speaker SPEAKER_06
transcript.pyannote[623].start 5501.21346875
transcript.pyannote[623].end 5502.27659375
transcript.pyannote[624].speaker SPEAKER_06
transcript.pyannote[624].start 5502.71534375
transcript.pyannote[624].end 5505.87096875
transcript.pyannote[625].speaker SPEAKER_02
transcript.pyannote[625].start 5506.54596875
transcript.pyannote[625].end 5510.19096875
transcript.pyannote[626].speaker SPEAKER_06
transcript.pyannote[626].start 5506.84971875
transcript.pyannote[626].end 5507.25471875
transcript.pyannote[627].speaker SPEAKER_06
transcript.pyannote[627].start 5507.89596875
transcript.pyannote[627].end 5508.41909375
transcript.pyannote[628].speaker SPEAKER_06
transcript.pyannote[628].start 5509.04346875
transcript.pyannote[628].end 5510.22471875
transcript.pyannote[629].speaker SPEAKER_02
transcript.pyannote[629].start 5510.22471875
transcript.pyannote[629].end 5510.24159375
transcript.pyannote[630].speaker SPEAKER_06
transcript.pyannote[630].start 5510.24159375
transcript.pyannote[630].end 5510.42721875
transcript.pyannote[631].speaker SPEAKER_02
transcript.pyannote[631].start 5510.42721875
transcript.pyannote[631].end 5510.44409375
transcript.pyannote[632].speaker SPEAKER_06
transcript.pyannote[632].start 5510.44409375
transcript.pyannote[632].end 5510.51159375
transcript.pyannote[633].speaker SPEAKER_06
transcript.pyannote[633].start 5510.52846875
transcript.pyannote[633].end 5512.23284375
transcript.pyannote[634].speaker SPEAKER_06
transcript.pyannote[634].start 5512.48596875
transcript.pyannote[634].end 5513.36346875
transcript.pyannote[635].speaker SPEAKER_06
transcript.pyannote[635].start 5515.23659375
transcript.pyannote[635].end 5519.45534375
transcript.pyannote[636].speaker SPEAKER_06
transcript.pyannote[636].start 5519.92784375
transcript.pyannote[636].end 5521.42971875
transcript.pyannote[637].speaker SPEAKER_06
transcript.pyannote[637].start 5522.08784375
transcript.pyannote[637].end 5525.91846875
transcript.pyannote[638].speaker SPEAKER_06
transcript.pyannote[638].start 5526.27284375
transcript.pyannote[638].end 5529.49596875
transcript.pyannote[639].speaker SPEAKER_06
transcript.pyannote[639].start 5530.33971875
transcript.pyannote[639].end 5530.60971875
transcript.pyannote[640].speaker SPEAKER_06
transcript.pyannote[640].start 5531.41971875
transcript.pyannote[640].end 5533.79909375
transcript.pyannote[641].speaker SPEAKER_06
transcript.pyannote[641].start 5534.23784375
transcript.pyannote[641].end 5535.95909375
transcript.pyannote[642].speaker SPEAKER_06
transcript.pyannote[642].start 5536.85346875
transcript.pyannote[642].end 5539.41846875
transcript.pyannote[643].speaker SPEAKER_02
transcript.pyannote[643].start 5538.62534375
transcript.pyannote[643].end 5547.43409375
transcript.pyannote[644].speaker SPEAKER_06
transcript.pyannote[644].start 5547.72096875
transcript.pyannote[644].end 5558.77409375
transcript.pyannote[645].speaker SPEAKER_06
transcript.pyannote[645].start 5558.97659375
transcript.pyannote[645].end 5560.63034375
transcript.pyannote[646].speaker SPEAKER_06
transcript.pyannote[646].start 5560.93409375
transcript.pyannote[646].end 5564.62971875
transcript.pyannote[647].speaker SPEAKER_06
transcript.pyannote[647].start 5565.03471875
transcript.pyannote[647].end 5588.96346875
transcript.pyannote[648].speaker SPEAKER_23
transcript.pyannote[648].start 5593.01346875
transcript.pyannote[648].end 5594.85284375
transcript.pyannote[649].speaker SPEAKER_12
transcript.pyannote[649].start 5604.23534375
transcript.pyannote[649].end 5606.44596875
transcript.pyannote[650].speaker SPEAKER_23
transcript.pyannote[650].start 5606.68221875
transcript.pyannote[650].end 5607.37409375
transcript.pyannote[651].speaker SPEAKER_23
transcript.pyannote[651].start 5612.82471875
transcript.pyannote[651].end 5612.84159375
transcript.pyannote[652].speaker SPEAKER_02
transcript.pyannote[652].start 5612.84159375
transcript.pyannote[652].end 5613.41534375
transcript.pyannote[653].speaker SPEAKER_12
transcript.pyannote[653].start 5613.48284375
transcript.pyannote[653].end 5626.84784375
transcript.pyannote[654].speaker SPEAKER_02
transcript.pyannote[654].start 5627.32034375
transcript.pyannote[654].end 5627.97846875
transcript.pyannote[655].speaker SPEAKER_02
transcript.pyannote[655].start 5630.54346875
transcript.pyannote[655].end 5634.18846875
transcript.pyannote[656].speaker SPEAKER_12
transcript.pyannote[656].start 5633.19284375
transcript.pyannote[656].end 5650.59096875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 5642.35596875
transcript.pyannote[657].end 5642.71034375
transcript.pyannote[658].speaker SPEAKER_12
transcript.pyannote[658].start 5650.79346875
transcript.pyannote[658].end 5663.55096875
transcript.pyannote[659].speaker SPEAKER_02
transcript.pyannote[659].start 5663.78721875
transcript.pyannote[659].end 5666.85846875
transcript.pyannote[660].speaker SPEAKER_12
transcript.pyannote[660].start 5667.12846875
transcript.pyannote[660].end 5668.29284375
transcript.pyannote[661].speaker SPEAKER_12
transcript.pyannote[661].start 5668.54596875
transcript.pyannote[661].end 5675.85284375
transcript.pyannote[662].speaker SPEAKER_02
transcript.pyannote[662].start 5675.85284375
transcript.pyannote[662].end 5676.35909375
transcript.pyannote[663].speaker SPEAKER_12
transcript.pyannote[663].start 5676.35909375
transcript.pyannote[663].end 5688.62721875
transcript.pyannote[664].speaker SPEAKER_12
transcript.pyannote[664].start 5689.01534375
transcript.pyannote[664].end 5690.58471875
transcript.pyannote[665].speaker SPEAKER_12
transcript.pyannote[665].start 5691.00659375
transcript.pyannote[665].end 5705.31659375
transcript.pyannote[666].speaker SPEAKER_12
transcript.pyannote[666].start 5705.78909375
transcript.pyannote[666].end 5720.14971875
transcript.pyannote[667].speaker SPEAKER_02
transcript.pyannote[667].start 5720.67284375
transcript.pyannote[667].end 5723.25471875
transcript.pyannote[668].speaker SPEAKER_02
transcript.pyannote[668].start 5723.33909375
transcript.pyannote[668].end 5724.28409375
transcript.pyannote[669].speaker SPEAKER_02
transcript.pyannote[669].start 5724.52034375
transcript.pyannote[669].end 5739.15096875
transcript.pyannote[670].speaker SPEAKER_12
transcript.pyannote[670].start 5728.55346875
transcript.pyannote[670].end 5728.77284375
transcript.pyannote[671].speaker SPEAKER_02
transcript.pyannote[671].start 5739.89346875
transcript.pyannote[671].end 5747.43659375
transcript.pyannote[672].speaker SPEAKER_12
transcript.pyannote[672].start 5744.26409375
transcript.pyannote[672].end 5753.08971875
transcript.pyannote[673].speaker SPEAKER_12
transcript.pyannote[673].start 5753.17409375
transcript.pyannote[673].end 5756.36346875
transcript.pyannote[674].speaker SPEAKER_12
transcript.pyannote[674].start 5757.35909375
transcript.pyannote[674].end 5757.96659375
transcript.pyannote[675].speaker SPEAKER_12
transcript.pyannote[675].start 5758.27034375
transcript.pyannote[675].end 5764.14284375
transcript.pyannote[676].speaker SPEAKER_02
transcript.pyannote[676].start 5765.23971875
transcript.pyannote[676].end 5774.48721875
transcript.pyannote[677].speaker SPEAKER_12
transcript.pyannote[677].start 5768.96909375
transcript.pyannote[677].end 5769.32346875
transcript.pyannote[678].speaker SPEAKER_02
transcript.pyannote[678].start 5774.77409375
transcript.pyannote[678].end 5779.93784375
transcript.pyannote[679].speaker SPEAKER_12
transcript.pyannote[679].start 5779.93784375
transcript.pyannote[679].end 5786.40096875
transcript.pyannote[680].speaker SPEAKER_12
transcript.pyannote[680].start 5786.50221875
transcript.pyannote[680].end 5789.79284375
transcript.pyannote[681].speaker SPEAKER_12
transcript.pyannote[681].start 5790.01221875
transcript.pyannote[681].end 5793.21846875
transcript.pyannote[682].speaker SPEAKER_12
transcript.pyannote[682].start 5793.53909375
transcript.pyannote[682].end 5794.65284375
transcript.pyannote[683].speaker SPEAKER_12
transcript.pyannote[683].start 5795.15909375
transcript.pyannote[683].end 5795.51346875
transcript.pyannote[684].speaker SPEAKER_12
transcript.pyannote[684].start 5795.85096875
transcript.pyannote[684].end 5796.54284375
transcript.pyannote[685].speaker SPEAKER_12
transcript.pyannote[685].start 5796.81284375
transcript.pyannote[685].end 5797.47096875
transcript.pyannote[686].speaker SPEAKER_12
transcript.pyannote[686].start 5797.90971875
transcript.pyannote[686].end 5798.56784375
transcript.pyannote[687].speaker SPEAKER_12
transcript.pyannote[687].start 5798.83784375
transcript.pyannote[687].end 5799.81659375
transcript.pyannote[688].speaker SPEAKER_12
transcript.pyannote[688].start 5800.27221875
transcript.pyannote[688].end 5801.08221875
transcript.pyannote[689].speaker SPEAKER_12
transcript.pyannote[689].start 5801.90909375
transcript.pyannote[689].end 5806.46534375
transcript.pyannote[690].speaker SPEAKER_12
transcript.pyannote[690].start 5806.81971875
transcript.pyannote[690].end 5808.76034375
transcript.pyannote[691].speaker SPEAKER_02
transcript.pyannote[691].start 5809.28346875
transcript.pyannote[691].end 5809.57034375
transcript.pyannote[692].speaker SPEAKER_02
transcript.pyannote[692].start 5810.07659375
transcript.pyannote[692].end 5813.97471875
transcript.pyannote[693].speaker SPEAKER_02
transcript.pyannote[693].start 5814.37971875
transcript.pyannote[693].end 5818.26096875
transcript.pyannote[694].speaker SPEAKER_02
transcript.pyannote[694].start 5819.03721875
transcript.pyannote[694].end 5820.08346875
transcript.pyannote[695].speaker SPEAKER_02
transcript.pyannote[695].start 5820.40409375
transcript.pyannote[695].end 5824.75784375
transcript.pyannote[696].speaker SPEAKER_12
transcript.pyannote[696].start 5824.43721875
transcript.pyannote[696].end 5869.03784375
transcript.pyannote[697].speaker SPEAKER_02
transcript.pyannote[697].start 5827.91346875
transcript.pyannote[697].end 5828.16659375
transcript.pyannote[698].speaker SPEAKER_12
transcript.pyannote[698].start 5869.81409375
transcript.pyannote[698].end 5879.39909375
transcript.pyannote[699].speaker SPEAKER_02
transcript.pyannote[699].start 5880.27659375
transcript.pyannote[699].end 5893.18596875
transcript.pyannote[700].speaker SPEAKER_12
transcript.pyannote[700].start 5886.53721875
transcript.pyannote[700].end 5886.85784375
transcript.pyannote[701].speaker SPEAKER_12
transcript.pyannote[701].start 5890.68846875
transcript.pyannote[701].end 5891.86971875
transcript.pyannote[702].speaker SPEAKER_12
transcript.pyannote[702].start 5892.73034375
transcript.pyannote[702].end 5893.69221875
transcript.pyannote[703].speaker SPEAKER_02
transcript.pyannote[703].start 5897.10096875
transcript.pyannote[703].end 5899.69971875
transcript.pyannote[704].speaker SPEAKER_12
transcript.pyannote[704].start 5898.46784375
transcript.pyannote[704].end 5926.95284375
transcript.pyannote[705].speaker SPEAKER_12
transcript.pyannote[705].start 5927.27346875
transcript.pyannote[705].end 5929.45034375
transcript.pyannote[706].speaker SPEAKER_12
transcript.pyannote[706].start 5929.55159375
transcript.pyannote[706].end 5930.58096875
transcript.pyannote[707].speaker SPEAKER_12
transcript.pyannote[707].start 5931.32346875
transcript.pyannote[707].end 5935.30596875
transcript.pyannote[708].speaker SPEAKER_02
transcript.pyannote[708].start 5937.43221875
transcript.pyannote[708].end 5939.23784375
transcript.pyannote[709].speaker SPEAKER_12
transcript.pyannote[709].start 5939.23784375
transcript.pyannote[709].end 5966.47409375
transcript.pyannote[710].speaker SPEAKER_12
transcript.pyannote[710].start 5968.39784375
transcript.pyannote[710].end 5971.43534375
transcript.pyannote[711].speaker SPEAKER_12
transcript.pyannote[711].start 5972.29596875
transcript.pyannote[711].end 5976.88596875
transcript.pyannote[712].speaker SPEAKER_02
transcript.pyannote[712].start 5979.99096875
transcript.pyannote[712].end 5987.02784375
transcript.pyannote[713].speaker SPEAKER_12
transcript.pyannote[713].start 5987.02784375
transcript.pyannote[713].end 5993.45721875
transcript.pyannote[714].speaker SPEAKER_12
transcript.pyannote[714].start 5993.99721875
transcript.pyannote[714].end 5998.60409375
transcript.pyannote[715].speaker SPEAKER_02
transcript.pyannote[715].start 5998.23284375
transcript.pyannote[715].end 6008.72909375
transcript.pyannote[716].speaker SPEAKER_02
transcript.pyannote[716].start 6009.16784375
transcript.pyannote[716].end 6009.97784375
transcript.pyannote[717].speaker SPEAKER_12
transcript.pyannote[717].start 6009.97784375
transcript.pyannote[717].end 6025.87409375
transcript.pyannote[718].speaker SPEAKER_02
transcript.pyannote[718].start 6025.16534375
transcript.pyannote[718].end 6030.86909375
transcript.pyannote[719].speaker SPEAKER_12
transcript.pyannote[719].start 6030.46409375
transcript.pyannote[719].end 6043.96409375
transcript.pyannote[720].speaker SPEAKER_12
transcript.pyannote[720].start 6044.21721875
transcript.pyannote[720].end 6045.31409375
transcript.pyannote[721].speaker SPEAKER_12
transcript.pyannote[721].start 6045.98909375
transcript.pyannote[721].end 6057.98721875
transcript.pyannote[722].speaker SPEAKER_12
transcript.pyannote[722].start 6058.67909375
transcript.pyannote[722].end 6061.96971875
transcript.pyannote[723].speaker SPEAKER_02
transcript.pyannote[723].start 6061.96971875
transcript.pyannote[723].end 6062.54346875
transcript.pyannote[724].speaker SPEAKER_12
transcript.pyannote[724].start 6062.54346875
transcript.pyannote[724].end 6062.66159375
transcript.pyannote[725].speaker SPEAKER_02
transcript.pyannote[725].start 6062.66159375
transcript.pyannote[725].end 6062.71221875
transcript.pyannote[726].speaker SPEAKER_12
transcript.pyannote[726].start 6062.71221875
transcript.pyannote[726].end 6072.26346875
transcript.pyannote[727].speaker SPEAKER_17
transcript.pyannote[727].start 6072.48284375
transcript.pyannote[727].end 6072.55034375
transcript.pyannote[728].speaker SPEAKER_02
transcript.pyannote[728].start 6072.55034375
transcript.pyannote[728].end 6072.90471875
transcript.pyannote[729].speaker SPEAKER_12
transcript.pyannote[729].start 6073.00596875
transcript.pyannote[729].end 6081.88221875
transcript.pyannote[730].speaker SPEAKER_12
transcript.pyannote[730].start 6082.08471875
transcript.pyannote[730].end 6084.05909375
transcript.pyannote[731].speaker SPEAKER_23
transcript.pyannote[731].start 6084.05909375
transcript.pyannote[731].end 6084.21096875
transcript.pyannote[732].speaker SPEAKER_12
transcript.pyannote[732].start 6084.32909375
transcript.pyannote[732].end 6084.86909375
transcript.pyannote[733].speaker SPEAKER_12
transcript.pyannote[733].start 6085.24034375
transcript.pyannote[733].end 6087.65346875
transcript.pyannote[734].speaker SPEAKER_12
transcript.pyannote[734].start 6088.42971875
transcript.pyannote[734].end 6089.12159375
transcript.pyannote[735].speaker SPEAKER_12
transcript.pyannote[735].start 6089.52659375
transcript.pyannote[735].end 6093.10409375
transcript.pyannote[736].speaker SPEAKER_12
transcript.pyannote[736].start 6093.99846875
transcript.pyannote[736].end 6094.58909375
transcript.pyannote[737].speaker SPEAKER_12
transcript.pyannote[737].start 6095.38221875
transcript.pyannote[737].end 6097.94721875
transcript.pyannote[738].speaker SPEAKER_12
transcript.pyannote[738].start 6097.96409375
transcript.pyannote[738].end 6097.98096875
transcript.pyannote[739].speaker SPEAKER_12
transcript.pyannote[739].start 6098.09909375
transcript.pyannote[739].end 6105.16971875
transcript.pyannote[740].speaker SPEAKER_02
transcript.pyannote[740].start 6105.57471875
transcript.pyannote[740].end 6106.41846875
transcript.pyannote[741].speaker SPEAKER_12
transcript.pyannote[741].start 6106.06409375
transcript.pyannote[741].end 6112.10534375
transcript.pyannote[742].speaker SPEAKER_02
transcript.pyannote[742].start 6113.70846875
transcript.pyannote[742].end 6118.90596875
transcript.pyannote[743].speaker SPEAKER_02
transcript.pyannote[743].start 6119.27721875
transcript.pyannote[743].end 6119.29409375
transcript.pyannote[744].speaker SPEAKER_12
transcript.pyannote[744].start 6119.29409375
transcript.pyannote[744].end 6131.07284375
transcript.pyannote[745].speaker SPEAKER_02
transcript.pyannote[745].start 6119.69909375
transcript.pyannote[745].end 6120.93096875
transcript.pyannote[746].speaker SPEAKER_02
transcript.pyannote[746].start 6131.07284375
transcript.pyannote[746].end 6133.80659375
transcript.pyannote[747].speaker SPEAKER_02
transcript.pyannote[747].start 6134.07659375
transcript.pyannote[747].end 6134.11034375
transcript.pyannote[748].speaker SPEAKER_12
transcript.pyannote[748].start 6134.11034375
transcript.pyannote[748].end 6134.14409375
transcript.pyannote[749].speaker SPEAKER_02
transcript.pyannote[749].start 6134.14409375
transcript.pyannote[749].end 6134.73471875
transcript.pyannote[750].speaker SPEAKER_12
transcript.pyannote[750].start 6134.73471875
transcript.pyannote[750].end 6145.39971875
transcript.pyannote[751].speaker SPEAKER_02
transcript.pyannote[751].start 6142.75034375
transcript.pyannote[751].end 6144.38721875
transcript.pyannote[752].speaker SPEAKER_02
transcript.pyannote[752].start 6145.01159375
transcript.pyannote[752].end 6151.18784375
transcript.pyannote[753].speaker SPEAKER_12
transcript.pyannote[753].start 6149.80409375
transcript.pyannote[753].end 6150.14159375
transcript.pyannote[754].speaker SPEAKER_02
transcript.pyannote[754].start 6151.40721875
transcript.pyannote[754].end 6162.84846875
transcript.pyannote[755].speaker SPEAKER_12
transcript.pyannote[755].start 6154.93409375
transcript.pyannote[755].end 6158.29221875
transcript.pyannote[756].speaker SPEAKER_12
transcript.pyannote[756].start 6161.17784375
transcript.pyannote[756].end 6161.71784375
transcript.pyannote[757].speaker SPEAKER_12
transcript.pyannote[757].start 6163.52346875
transcript.pyannote[757].end 6172.50096875
transcript.pyannote[758].speaker SPEAKER_12
transcript.pyannote[758].start 6173.02409375
transcript.pyannote[758].end 6174.66096875
transcript.pyannote[759].speaker SPEAKER_02
transcript.pyannote[759].start 6175.82534375
transcript.pyannote[759].end 6179.84159375
transcript.pyannote[760].speaker SPEAKER_12
transcript.pyannote[760].start 6179.28471875
transcript.pyannote[760].end 6183.03096875
transcript.pyannote[761].speaker SPEAKER_12
transcript.pyannote[761].start 6183.38534375
transcript.pyannote[761].end 6194.11784375
transcript.pyannote[762].speaker SPEAKER_12
transcript.pyannote[762].start 6194.82659375
transcript.pyannote[762].end 6197.17221875
transcript.pyannote[763].speaker SPEAKER_02
transcript.pyannote[763].start 6196.41284375
transcript.pyannote[763].end 6198.23534375
transcript.pyannote[764].speaker SPEAKER_12
transcript.pyannote[764].start 6198.23534375
transcript.pyannote[764].end 6213.27096875
transcript.pyannote[765].speaker SPEAKER_12
transcript.pyannote[765].start 6214.18221875
transcript.pyannote[765].end 6224.42534375
transcript.pyannote[766].speaker SPEAKER_02
transcript.pyannote[766].start 6224.18909375
transcript.pyannote[766].end 6227.69909375
transcript.pyannote[767].speaker SPEAKER_12
transcript.pyannote[767].start 6224.99909375
transcript.pyannote[767].end 6225.35346875
transcript.pyannote[768].speaker SPEAKER_12
transcript.pyannote[768].start 6227.69909375
transcript.pyannote[768].end 6232.76159375
transcript.pyannote[769].speaker SPEAKER_12
transcript.pyannote[769].start 6233.47034375
transcript.pyannote[769].end 6236.57534375
transcript.pyannote[770].speaker SPEAKER_12
transcript.pyannote[770].start 6237.01409375
transcript.pyannote[770].end 6239.15721875
transcript.pyannote[771].speaker SPEAKER_12
transcript.pyannote[771].start 6239.88284375
transcript.pyannote[771].end 6248.52284375
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 6248.18534375
transcript.pyannote[772].end 6248.50596875
transcript.pyannote[773].speaker SPEAKER_02
transcript.pyannote[773].start 6248.52284375
transcript.pyannote[773].end 6248.55659375
transcript.pyannote[774].speaker SPEAKER_12
transcript.pyannote[774].start 6248.55659375
transcript.pyannote[774].end 6248.64096875
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 6248.64096875
transcript.pyannote[775].end 6248.70846875
transcript.pyannote[776].speaker SPEAKER_12
transcript.pyannote[776].start 6248.70846875
transcript.pyannote[776].end 6248.72534375
transcript.pyannote[777].speaker SPEAKER_02
transcript.pyannote[777].start 6248.72534375
transcript.pyannote[777].end 6248.74221875
transcript.pyannote[778].speaker SPEAKER_12
transcript.pyannote[778].start 6248.74221875
transcript.pyannote[778].end 6248.97846875
transcript.pyannote[779].speaker SPEAKER_02
transcript.pyannote[779].start 6248.97846875
transcript.pyannote[779].end 6257.70284375
transcript.pyannote[780].speaker SPEAKER_12
transcript.pyannote[780].start 6255.27284375
transcript.pyannote[780].end 6265.12784375
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 6257.71971875
transcript.pyannote[781].end 6257.77034375
transcript.pyannote[782].speaker SPEAKER_12
transcript.pyannote[782].start 6266.47784375
transcript.pyannote[782].end 6267.11909375
transcript.pyannote[783].speaker SPEAKER_12
transcript.pyannote[783].start 6267.50721875
transcript.pyannote[783].end 6269.36346875
transcript.pyannote[784].speaker SPEAKER_12
transcript.pyannote[784].start 6269.73471875
transcript.pyannote[784].end 6273.43034375
transcript.pyannote[785].speaker SPEAKER_24
transcript.pyannote[785].start 6271.52346875
transcript.pyannote[785].end 6271.55721875
transcript.pyannote[786].speaker SPEAKER_02
transcript.pyannote[786].start 6271.55721875
transcript.pyannote[786].end 6271.87784375
transcript.pyannote[787].speaker SPEAKER_24
transcript.pyannote[787].start 6271.87784375
transcript.pyannote[787].end 6271.89471875
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 6271.89471875
transcript.pyannote[788].end 6271.94534375
transcript.pyannote[789].speaker SPEAKER_12
transcript.pyannote[789].start 6274.12221875
transcript.pyannote[789].end 6277.07534375
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 6275.70846875
transcript.pyannote[790].end 6277.91909375
transcript.pyannote[791].speaker SPEAKER_12
transcript.pyannote[791].start 6277.91909375
transcript.pyannote[791].end 6280.88909375
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 6280.88909375
transcript.pyannote[792].end 6281.07471875
transcript.pyannote[793].speaker SPEAKER_12
transcript.pyannote[793].start 6281.07471875
transcript.pyannote[793].end 6284.80409375
transcript.pyannote[794].speaker SPEAKER_12
transcript.pyannote[794].start 6284.92221875
transcript.pyannote[794].end 6285.25971875
transcript.pyannote[795].speaker SPEAKER_12
transcript.pyannote[795].start 6285.52971875
transcript.pyannote[795].end 6285.93471875
transcript.pyannote[796].speaker SPEAKER_12
transcript.pyannote[796].start 6298.35471875
transcript.pyannote[796].end 6300.37971875
transcript.pyannote[797].speaker SPEAKER_23
transcript.pyannote[797].start 6305.02034375
transcript.pyannote[797].end 6306.03284375
transcript.pyannote[798].speaker SPEAKER_23
transcript.pyannote[798].start 6306.42096875
transcript.pyannote[798].end 6307.24784375
transcript.pyannote[799].speaker SPEAKER_12
transcript.pyannote[799].start 6308.56409375
transcript.pyannote[799].end 6309.28971875
transcript.pyannote[800].speaker SPEAKER_02
transcript.pyannote[800].start 6313.81221875
transcript.pyannote[800].end 6314.14971875
transcript.pyannote[801].speaker SPEAKER_23
transcript.pyannote[801].start 6314.62221875
transcript.pyannote[801].end 6315.11159375
transcript.pyannote[802].speaker SPEAKER_23
transcript.pyannote[802].start 6315.48284375
transcript.pyannote[802].end 6343.15784375
transcript.pyannote[803].speaker SPEAKER_23
transcript.pyannote[803].start 6343.57971875
transcript.pyannote[803].end 6355.15596875
transcript.pyannote[804].speaker SPEAKER_23
transcript.pyannote[804].start 6355.52721875
transcript.pyannote[804].end 6356.32034375
transcript.pyannote[805].speaker SPEAKER_02
transcript.pyannote[805].start 6356.32034375
transcript.pyannote[805].end 6356.37096875
transcript.pyannote[806].speaker SPEAKER_23
transcript.pyannote[806].start 6356.94471875
transcript.pyannote[806].end 6357.02909375
transcript.pyannote[807].speaker SPEAKER_02
transcript.pyannote[807].start 6357.02909375
transcript.pyannote[807].end 6357.36659375
transcript.pyannote[808].speaker SPEAKER_23
transcript.pyannote[808].start 6358.61534375
transcript.pyannote[808].end 6358.63221875
transcript.pyannote[809].speaker SPEAKER_02
transcript.pyannote[809].start 6358.63221875
transcript.pyannote[809].end 6362.07471875
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 6362.46284375
transcript.pyannote[810].end 6365.97284375
transcript.pyannote[811].speaker SPEAKER_23
transcript.pyannote[811].start 6365.97284375
transcript.pyannote[811].end 6367.10346875
transcript.pyannote[812].speaker SPEAKER_23
transcript.pyannote[812].start 6367.66034375
transcript.pyannote[812].end 6379.77659375
transcript.pyannote[813].speaker SPEAKER_23
transcript.pyannote[813].start 6380.45159375
transcript.pyannote[813].end 6381.04221875
transcript.pyannote[814].speaker SPEAKER_23
transcript.pyannote[814].start 6381.95346875
transcript.pyannote[814].end 6382.37534375
transcript.pyannote[815].speaker SPEAKER_23
transcript.pyannote[815].start 6383.06721875
transcript.pyannote[815].end 6400.58346875
transcript.pyannote[816].speaker SPEAKER_23
transcript.pyannote[816].start 6401.17409375
transcript.pyannote[816].end 6404.70096875
transcript.pyannote[817].speaker SPEAKER_23
transcript.pyannote[817].start 6405.02159375
transcript.pyannote[817].end 6422.38596875
transcript.pyannote[818].speaker SPEAKER_23
transcript.pyannote[818].start 6422.89221875
transcript.pyannote[818].end 6428.57909375
transcript.pyannote[819].speaker SPEAKER_23
transcript.pyannote[819].start 6429.05159375
transcript.pyannote[819].end 6430.03034375
transcript.pyannote[820].speaker SPEAKER_23
transcript.pyannote[820].start 6430.57034375
transcript.pyannote[820].end 6433.60784375
transcript.pyannote[821].speaker SPEAKER_23
transcript.pyannote[821].start 6434.19846875
transcript.pyannote[821].end 6447.24284375
transcript.pyannote[822].speaker SPEAKER_23
transcript.pyannote[822].start 6447.86721875
transcript.pyannote[822].end 6455.37659375
transcript.pyannote[823].speaker SPEAKER_02
transcript.pyannote[823].start 6456.33846875
transcript.pyannote[823].end 6480.94221875
transcript.pyannote[824].speaker SPEAKER_23
transcript.pyannote[824].start 6461.94096875
transcript.pyannote[824].end 6462.29534375
transcript.pyannote[825].speaker SPEAKER_20
transcript.pyannote[825].start 6470.78346875
transcript.pyannote[825].end 6471.22221875
transcript.pyannote[826].speaker SPEAKER_20
transcript.pyannote[826].start 6472.65659375
transcript.pyannote[826].end 6472.94346875
transcript.pyannote[827].speaker SPEAKER_20
transcript.pyannote[827].start 6475.60971875
transcript.pyannote[827].end 6476.41971875
transcript.pyannote[828].speaker SPEAKER_23
transcript.pyannote[828].start 6476.41971875
transcript.pyannote[828].end 6477.58409375
transcript.pyannote[829].speaker SPEAKER_20
transcript.pyannote[829].start 6477.58409375
transcript.pyannote[829].end 6477.60096875
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 6481.46534375
transcript.pyannote[830].end 6492.97409375
transcript.pyannote[831].speaker SPEAKER_23
transcript.pyannote[831].start 6490.24034375
transcript.pyannote[831].end 6491.43846875
transcript.pyannote[832].speaker SPEAKER_23
transcript.pyannote[832].start 6492.97409375
transcript.pyannote[832].end 6493.93596875
transcript.pyannote[833].speaker SPEAKER_02
transcript.pyannote[833].start 6493.93596875
transcript.pyannote[833].end 6493.96971875
transcript.pyannote[834].speaker SPEAKER_23
transcript.pyannote[834].start 6493.96971875
transcript.pyannote[834].end 6494.57721875
transcript.pyannote[835].speaker SPEAKER_02
transcript.pyannote[835].start 6494.57721875
transcript.pyannote[835].end 6505.96784375
transcript.pyannote[836].speaker SPEAKER_23
transcript.pyannote[836].start 6504.19596875
transcript.pyannote[836].end 6508.93784375
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 6507.14909375
transcript.pyannote[837].end 6507.77346875
transcript.pyannote[838].speaker SPEAKER_02
transcript.pyannote[838].start 6507.85784375
transcript.pyannote[838].end 6507.89159375
transcript.pyannote[839].speaker SPEAKER_02
transcript.pyannote[839].start 6509.17409375
transcript.pyannote[839].end 6519.07971875
transcript.pyannote[840].speaker SPEAKER_23
transcript.pyannote[840].start 6514.99596875
transcript.pyannote[840].end 6515.29971875
transcript.pyannote[841].speaker SPEAKER_23
transcript.pyannote[841].start 6517.32471875
transcript.pyannote[841].end 6518.47221875
transcript.pyannote[842].speaker SPEAKER_23
transcript.pyannote[842].start 6519.07971875
transcript.pyannote[842].end 6521.96534375
transcript.pyannote[843].speaker SPEAKER_23
transcript.pyannote[843].start 6522.33659375
transcript.pyannote[843].end 6523.73721875
transcript.pyannote[844].speaker SPEAKER_23
transcript.pyannote[844].start 6524.10846875
transcript.pyannote[844].end 6525.61034375
transcript.pyannote[845].speaker SPEAKER_23
transcript.pyannote[845].start 6526.03221875
transcript.pyannote[845].end 6530.21721875
transcript.pyannote[846].speaker SPEAKER_23
transcript.pyannote[846].start 6530.57159375
transcript.pyannote[846].end 6531.56721875
transcript.pyannote[847].speaker SPEAKER_23
transcript.pyannote[847].start 6531.78659375
transcript.pyannote[847].end 6535.21221875
transcript.pyannote[848].speaker SPEAKER_23
transcript.pyannote[848].start 6535.80284375
transcript.pyannote[848].end 6537.91221875
transcript.pyannote[849].speaker SPEAKER_23
transcript.pyannote[849].start 6538.43534375
transcript.pyannote[849].end 6542.99159375
transcript.pyannote[850].speaker SPEAKER_23
transcript.pyannote[850].start 6543.43034375
transcript.pyannote[850].end 6543.98721875
transcript.pyannote[851].speaker SPEAKER_23
transcript.pyannote[851].start 6544.18971875
transcript.pyannote[851].end 6545.67471875
transcript.pyannote[852].speaker SPEAKER_02
transcript.pyannote[852].start 6546.41721875
transcript.pyannote[852].end 6568.89471875
transcript.pyannote[853].speaker SPEAKER_23
transcript.pyannote[853].start 6554.70284375
transcript.pyannote[853].end 6554.97284375
transcript.pyannote[854].speaker SPEAKER_24
transcript.pyannote[854].start 6554.97284375
transcript.pyannote[854].end 6555.58034375
transcript.pyannote[855].speaker SPEAKER_24
transcript.pyannote[855].start 6558.24659375
transcript.pyannote[855].end 6561.65534375
transcript.pyannote[856].speaker SPEAKER_23
transcript.pyannote[856].start 6566.38034375
transcript.pyannote[856].end 6568.84409375
transcript.pyannote[857].speaker SPEAKER_23
transcript.pyannote[857].start 6568.89471875
transcript.pyannote[857].end 6568.91159375
transcript.pyannote[858].speaker SPEAKER_02
transcript.pyannote[858].start 6569.62034375
transcript.pyannote[858].end 6569.65409375
transcript.pyannote[859].speaker SPEAKER_23
transcript.pyannote[859].start 6569.65409375
transcript.pyannote[859].end 6587.15346875
transcript.pyannote[860].speaker SPEAKER_02
transcript.pyannote[860].start 6569.70471875
transcript.pyannote[860].end 6571.32471875
transcript.pyannote[861].speaker SPEAKER_02
transcript.pyannote[861].start 6572.47221875
transcript.pyannote[861].end 6573.36659375
transcript.pyannote[862].speaker SPEAKER_02
transcript.pyannote[862].start 6574.64909375
transcript.pyannote[862].end 6574.96971875
transcript.pyannote[863].speaker SPEAKER_00
transcript.pyannote[863].start 6574.96971875
transcript.pyannote[863].end 6576.03284375
transcript.pyannote[864].speaker SPEAKER_24
transcript.pyannote[864].start 6576.03284375
transcript.pyannote[864].end 6577.41659375
transcript.pyannote[865].speaker SPEAKER_23
transcript.pyannote[865].start 6587.71034375
transcript.pyannote[865].end 6589.14471875
transcript.pyannote[866].speaker SPEAKER_02
transcript.pyannote[866].start 6589.29659375
transcript.pyannote[866].end 6591.37221875
transcript.pyannote[867].speaker SPEAKER_23
transcript.pyannote[867].start 6590.08971875
transcript.pyannote[867].end 6597.27846875
transcript.pyannote[868].speaker SPEAKER_24
transcript.pyannote[868].start 6591.37221875
transcript.pyannote[868].end 6591.42284375
transcript.pyannote[869].speaker SPEAKER_23
transcript.pyannote[869].start 6597.98721875
transcript.pyannote[869].end 6599.15159375
transcript.pyannote[870].speaker SPEAKER_23
transcript.pyannote[870].start 6599.20221875
transcript.pyannote[870].end 6605.02409375
transcript.pyannote[871].speaker SPEAKER_02
transcript.pyannote[871].start 6605.02409375
transcript.pyannote[871].end 6618.77721875
transcript.pyannote[872].speaker SPEAKER_00
transcript.pyannote[872].start 6611.23409375
transcript.pyannote[872].end 6611.55471875
transcript.pyannote[873].speaker SPEAKER_24
transcript.pyannote[873].start 6611.55471875
transcript.pyannote[873].end 6611.97659375
transcript.pyannote[874].speaker SPEAKER_00
transcript.pyannote[874].start 6611.97659375
transcript.pyannote[874].end 6612.12846875
transcript.pyannote[875].speaker SPEAKER_00
transcript.pyannote[875].start 6612.33096875
transcript.pyannote[875].end 6612.46596875
transcript.pyannote[876].speaker SPEAKER_23
transcript.pyannote[876].start 6612.46596875
transcript.pyannote[876].end 6614.57534375
transcript.pyannote[877].speaker SPEAKER_23
transcript.pyannote[877].start 6615.38534375
transcript.pyannote[877].end 6616.22909375
transcript.pyannote[878].speaker SPEAKER_23
transcript.pyannote[878].start 6617.07284375
transcript.pyannote[878].end 6618.10221875
transcript.pyannote[879].speaker SPEAKER_23
transcript.pyannote[879].start 6618.77721875
transcript.pyannote[879].end 6623.40096875
transcript.pyannote[880].speaker SPEAKER_02
transcript.pyannote[880].start 6618.79409375
transcript.pyannote[880].end 6620.12721875
transcript.pyannote[881].speaker SPEAKER_23
transcript.pyannote[881].start 6623.92409375
transcript.pyannote[881].end 6641.60909375
transcript.pyannote[882].speaker SPEAKER_23
transcript.pyannote[882].start 6642.87471875
transcript.pyannote[882].end 6644.74784375
transcript.pyannote[883].speaker SPEAKER_23
transcript.pyannote[883].start 6645.69284375
transcript.pyannote[883].end 6646.16534375
transcript.pyannote[884].speaker SPEAKER_23
transcript.pyannote[884].start 6646.87409375
transcript.pyannote[884].end 6647.85284375
transcript.pyannote[885].speaker SPEAKER_23
transcript.pyannote[885].start 6648.08909375
transcript.pyannote[885].end 6649.82721875
transcript.pyannote[886].speaker SPEAKER_02
transcript.pyannote[886].start 6649.82721875
transcript.pyannote[886].end 6650.18159375
transcript.pyannote[887].speaker SPEAKER_23
transcript.pyannote[887].start 6650.19846875
transcript.pyannote[887].end 6651.85221875
transcript.pyannote[888].speaker SPEAKER_23
transcript.pyannote[888].start 6652.88159375
transcript.pyannote[888].end 6656.03721875
transcript.pyannote[889].speaker SPEAKER_02
transcript.pyannote[889].start 6656.03721875
transcript.pyannote[889].end 6666.53346875
transcript.pyannote[890].speaker SPEAKER_24
transcript.pyannote[890].start 6662.92221875
transcript.pyannote[890].end 6665.28471875
transcript.pyannote[891].speaker SPEAKER_02
transcript.pyannote[891].start 6667.61346875
transcript.pyannote[891].end 6667.96784375
transcript.pyannote[892].speaker SPEAKER_02
transcript.pyannote[892].start 6668.60909375
transcript.pyannote[892].end 6677.24909375
transcript.pyannote[893].speaker SPEAKER_24
transcript.pyannote[893].start 6668.64284375
transcript.pyannote[893].end 6671.73096875
transcript.pyannote[894].speaker SPEAKER_24
transcript.pyannote[894].start 6675.27471875
transcript.pyannote[894].end 6676.64159375
transcript.pyannote[895].speaker SPEAKER_23
transcript.pyannote[895].start 6676.64159375
transcript.pyannote[895].end 6676.70909375
transcript.pyannote[896].speaker SPEAKER_23
transcript.pyannote[896].start 6677.24909375
transcript.pyannote[896].end 6677.28284375
transcript.pyannote[897].speaker SPEAKER_02
transcript.pyannote[897].start 6677.99159375
transcript.pyannote[897].end 6678.00846875
transcript.pyannote[898].speaker SPEAKER_23
transcript.pyannote[898].start 6678.00846875
transcript.pyannote[898].end 6686.02409375
transcript.pyannote[899].speaker SPEAKER_02
transcript.pyannote[899].start 6686.02409375
transcript.pyannote[899].end 6698.86596875
transcript.pyannote[900].speaker SPEAKER_23
transcript.pyannote[900].start 6698.86596875
transcript.pyannote[900].end 6698.89971875
transcript.pyannote[901].speaker SPEAKER_02
transcript.pyannote[901].start 6699.42284375
transcript.pyannote[901].end 6700.75596875
transcript.pyannote[902].speaker SPEAKER_23
transcript.pyannote[902].start 6699.79409375
transcript.pyannote[902].end 6709.49721875
transcript.pyannote[903].speaker SPEAKER_23
transcript.pyannote[903].start 6710.35784375
transcript.pyannote[903].end 6711.97784375
transcript.pyannote[904].speaker SPEAKER_23
transcript.pyannote[904].start 6712.95659375
transcript.pyannote[904].end 6725.41034375
transcript.pyannote[905].speaker SPEAKER_24
transcript.pyannote[905].start 6713.56409375
transcript.pyannote[905].end 6722.94659375
transcript.pyannote[906].speaker SPEAKER_23
transcript.pyannote[906].start 6726.43971875
transcript.pyannote[906].end 6733.88159375
transcript.pyannote[907].speaker SPEAKER_24
transcript.pyannote[907].start 6731.60346875
transcript.pyannote[907].end 6731.87346875
transcript.pyannote[908].speaker SPEAKER_00
transcript.pyannote[908].start 6731.87346875
transcript.pyannote[908].end 6731.97471875
transcript.pyannote[909].speaker SPEAKER_23
transcript.pyannote[909].start 6735.33284375
transcript.pyannote[909].end 6735.73784375
transcript.pyannote[910].speaker SPEAKER_23
transcript.pyannote[910].start 6736.93596875
transcript.pyannote[910].end 6737.50971875
transcript.pyannote[911].speaker SPEAKER_23
transcript.pyannote[911].start 6738.04971875
transcript.pyannote[911].end 6740.22659375
transcript.pyannote[912].speaker SPEAKER_23
transcript.pyannote[912].start 6740.95221875
transcript.pyannote[912].end 6742.74096875
transcript.pyannote[913].speaker SPEAKER_23
transcript.pyannote[913].start 6743.24721875
transcript.pyannote[913].end 6746.50409375
transcript.pyannote[914].speaker SPEAKER_23
transcript.pyannote[914].start 6746.52096875
transcript.pyannote[914].end 6747.98909375
transcript.pyannote[915].speaker SPEAKER_23
transcript.pyannote[915].start 6748.24221875
transcript.pyannote[915].end 6750.89159375
transcript.pyannote[916].speaker SPEAKER_23
transcript.pyannote[916].start 6751.48221875
transcript.pyannote[916].end 6752.41034375
transcript.pyannote[917].speaker SPEAKER_23
transcript.pyannote[917].start 6752.68034375
transcript.pyannote[917].end 6753.81096875
transcript.pyannote[918].speaker SPEAKER_23
transcript.pyannote[918].start 6754.73909375
transcript.pyannote[918].end 6755.88659375
transcript.pyannote[919].speaker SPEAKER_23
transcript.pyannote[919].start 6756.05534375
transcript.pyannote[919].end 6756.86534375
transcript.pyannote[920].speaker SPEAKER_23
transcript.pyannote[920].start 6757.20284375
transcript.pyannote[920].end 6758.48534375
transcript.pyannote[921].speaker SPEAKER_23
transcript.pyannote[921].start 6758.92409375
transcript.pyannote[921].end 6764.72909375
transcript.pyannote[922].speaker SPEAKER_23
transcript.pyannote[922].start 6764.93159375
transcript.pyannote[922].end 6766.97346875
transcript.pyannote[923].speaker SPEAKER_23
transcript.pyannote[923].start 6767.61471875
transcript.pyannote[923].end 6768.18846875
transcript.pyannote[924].speaker SPEAKER_23
transcript.pyannote[924].start 6768.76221875
transcript.pyannote[924].end 6770.43284375
transcript.pyannote[925].speaker SPEAKER_23
transcript.pyannote[925].start 6771.07409375
transcript.pyannote[925].end 6774.06096875
transcript.pyannote[926].speaker SPEAKER_24
transcript.pyannote[926].start 6773.97659375
transcript.pyannote[926].end 6776.50784375
transcript.pyannote[927].speaker SPEAKER_23
transcript.pyannote[927].start 6774.07784375
transcript.pyannote[927].end 6777.16596875
transcript.pyannote[928].speaker SPEAKER_24
transcript.pyannote[928].start 6777.62159375
transcript.pyannote[928].end 6777.63846875
transcript.pyannote[929].speaker SPEAKER_23
transcript.pyannote[929].start 6777.63846875
transcript.pyannote[929].end 6797.31471875
transcript.pyannote[930].speaker SPEAKER_24
transcript.pyannote[930].start 6777.77346875
transcript.pyannote[930].end 6778.24596875
transcript.pyannote[931].speaker SPEAKER_23
transcript.pyannote[931].start 6798.10784375
transcript.pyannote[931].end 6799.03596875
transcript.pyannote[932].speaker SPEAKER_23
transcript.pyannote[932].start 6799.23846875
transcript.pyannote[932].end 6804.01409375
transcript.pyannote[933].speaker SPEAKER_23
transcript.pyannote[933].start 6804.40221875
transcript.pyannote[933].end 6808.11471875
transcript.pyannote[934].speaker SPEAKER_23
transcript.pyannote[934].start 6808.43534375
transcript.pyannote[934].end 6811.50659375
transcript.pyannote[935].speaker SPEAKER_23
transcript.pyannote[935].start 6812.41784375
transcript.pyannote[935].end 6814.62846875
transcript.pyannote[936].speaker SPEAKER_23
transcript.pyannote[936].start 6814.83096875
transcript.pyannote[936].end 6820.58534375
transcript.pyannote[937].speaker SPEAKER_23
transcript.pyannote[937].start 6821.00721875
transcript.pyannote[937].end 6823.26846875
transcript.pyannote[938].speaker SPEAKER_23
transcript.pyannote[938].start 6823.58909375
transcript.pyannote[938].end 6826.28909375
transcript.pyannote[939].speaker SPEAKER_02
transcript.pyannote[939].start 6826.57596875
transcript.pyannote[939].end 6827.23409375
transcript.pyannote[940].speaker SPEAKER_23
transcript.pyannote[940].start 6826.77846875
transcript.pyannote[940].end 6828.34784375
transcript.pyannote[941].speaker SPEAKER_23
transcript.pyannote[941].start 6828.66846875
transcript.pyannote[941].end 6853.05284375
transcript.pyannote[942].speaker SPEAKER_23
transcript.pyannote[942].start 6853.57596875
transcript.pyannote[942].end 6858.43596875
transcript.pyannote[943].speaker SPEAKER_23
transcript.pyannote[943].start 6858.87471875
transcript.pyannote[943].end 6863.71784375
transcript.pyannote[944].speaker SPEAKER_23
transcript.pyannote[944].start 6865.00034375
transcript.pyannote[944].end 6871.42971875
transcript.pyannote[945].speaker SPEAKER_23
transcript.pyannote[945].start 6871.61534375
transcript.pyannote[945].end 6872.56034375
transcript.pyannote[946].speaker SPEAKER_23
transcript.pyannote[946].start 6872.59409375
transcript.pyannote[946].end 6876.77909375
transcript.pyannote[947].speaker SPEAKER_23
transcript.pyannote[947].start 6876.91409375
transcript.pyannote[947].end 6878.41596875
transcript.pyannote[948].speaker SPEAKER_23
transcript.pyannote[948].start 6878.90534375
transcript.pyannote[948].end 6879.63096875
transcript.pyannote[949].speaker SPEAKER_23
transcript.pyannote[949].start 6890.56596875
transcript.pyannote[949].end 6897.83909375
transcript.pyannote[950].speaker SPEAKER_03
transcript.pyannote[950].start 6902.76659375
transcript.pyannote[950].end 6906.69846875
transcript.pyannote[951].speaker SPEAKER_03
transcript.pyannote[951].start 6914.35971875
transcript.pyannote[951].end 6925.56471875
transcript.pyannote[952].speaker SPEAKER_03
transcript.pyannote[952].start 6925.75034375
transcript.pyannote[952].end 6926.54346875
transcript.pyannote[953].speaker SPEAKER_03
transcript.pyannote[953].start 6927.08346875
transcript.pyannote[953].end 6928.90596875
transcript.pyannote[954].speaker SPEAKER_03
transcript.pyannote[954].start 6929.71596875
transcript.pyannote[954].end 6930.64409375
transcript.pyannote[955].speaker SPEAKER_03
transcript.pyannote[955].start 6931.28534375
transcript.pyannote[955].end 6931.87596875
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 6932.04471875
transcript.pyannote[956].end 6933.96846875
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 6935.21721875
transcript.pyannote[957].end 6941.39346875
transcript.pyannote[958].speaker SPEAKER_03
transcript.pyannote[958].start 6941.95034375
transcript.pyannote[958].end 6943.82346875
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 6944.48159375
transcript.pyannote[959].end 6947.09721875
transcript.pyannote[960].speaker SPEAKER_03
transcript.pyannote[960].start 6947.40096875
transcript.pyannote[960].end 6950.67471875
transcript.pyannote[961].speaker SPEAKER_03
transcript.pyannote[961].start 6950.91096875
transcript.pyannote[961].end 6952.17659375
transcript.pyannote[962].speaker SPEAKER_03
transcript.pyannote[962].start 6953.54346875
transcript.pyannote[962].end 6955.41659375
transcript.pyannote[963].speaker SPEAKER_03
transcript.pyannote[963].start 6955.58534375
transcript.pyannote[963].end 6962.40284375
transcript.pyannote[964].speaker SPEAKER_03
transcript.pyannote[964].start 6963.48284375
transcript.pyannote[964].end 6964.46159375
transcript.pyannote[965].speaker SPEAKER_03
transcript.pyannote[965].start 6965.42346875
transcript.pyannote[965].end 6969.49034375
transcript.pyannote[966].speaker SPEAKER_03
transcript.pyannote[966].start 6969.86159375
transcript.pyannote[966].end 6980.05409375
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 6981.33659375
transcript.pyannote[967].end 6982.02846875
transcript.pyannote[968].speaker SPEAKER_02
transcript.pyannote[968].start 6982.02846875
transcript.pyannote[968].end 6982.72034375
transcript.pyannote[969].speaker SPEAKER_02
transcript.pyannote[969].start 6983.53034375
transcript.pyannote[969].end 7004.32034375
transcript.pyannote[970].speaker SPEAKER_03
transcript.pyannote[970].start 6989.77409375
transcript.pyannote[970].end 6992.98034375
transcript.pyannote[971].speaker SPEAKER_02
transcript.pyannote[971].start 7004.82659375
transcript.pyannote[971].end 7019.17034375
transcript.pyannote[972].speaker SPEAKER_03
transcript.pyannote[972].start 7018.14096875
transcript.pyannote[972].end 7019.71034375
transcript.pyannote[973].speaker SPEAKER_02
transcript.pyannote[973].start 7019.71034375
transcript.pyannote[973].end 7022.51159375
transcript.pyannote[974].speaker SPEAKER_03
transcript.pyannote[974].start 7019.72721875
transcript.pyannote[974].end 7019.79471875
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 7019.87909375
transcript.pyannote[975].end 7022.02221875
transcript.pyannote[976].speaker SPEAKER_02
transcript.pyannote[976].start 7023.03471875
transcript.pyannote[976].end 7033.17659375
transcript.pyannote[977].speaker SPEAKER_03
transcript.pyannote[977].start 7031.05034375
transcript.pyannote[977].end 7033.24409375
transcript.pyannote[978].speaker SPEAKER_02
transcript.pyannote[978].start 7033.91909375
transcript.pyannote[978].end 7033.93596875
transcript.pyannote[979].speaker SPEAKER_03
transcript.pyannote[979].start 7033.93596875
transcript.pyannote[979].end 7035.50534375
transcript.pyannote[980].speaker SPEAKER_03
transcript.pyannote[980].start 7035.89346875
transcript.pyannote[980].end 7037.29409375
transcript.pyannote[981].speaker SPEAKER_03
transcript.pyannote[981].start 7038.81284375
transcript.pyannote[981].end 7041.64784375
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 7041.88409375
transcript.pyannote[982].end 7042.94721875
transcript.pyannote[983].speaker SPEAKER_03
transcript.pyannote[983].start 7044.17909375
transcript.pyannote[983].end 7045.88346875
transcript.pyannote[984].speaker SPEAKER_03
transcript.pyannote[984].start 7047.09846875
transcript.pyannote[984].end 7049.07284375
transcript.pyannote[985].speaker SPEAKER_03
transcript.pyannote[985].start 7049.64659375
transcript.pyannote[985].end 7051.19909375
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 7051.51971875
transcript.pyannote[986].end 7052.70096875
transcript.pyannote[987].speaker SPEAKER_03
transcript.pyannote[987].start 7053.19034375
transcript.pyannote[987].end 7060.36221875
transcript.pyannote[988].speaker SPEAKER_03
transcript.pyannote[988].start 7061.23971875
transcript.pyannote[988].end 7065.81284375
transcript.pyannote[989].speaker SPEAKER_03
transcript.pyannote[989].start 7066.58909375
transcript.pyannote[989].end 7069.94721875
transcript.pyannote[990].speaker SPEAKER_03
transcript.pyannote[990].start 7071.28034375
transcript.pyannote[990].end 7073.38971875
transcript.pyannote[991].speaker SPEAKER_03
transcript.pyannote[991].start 7074.19971875
transcript.pyannote[991].end 7075.17846875
transcript.pyannote[992].speaker SPEAKER_03
transcript.pyannote[992].start 7076.19096875
transcript.pyannote[992].end 7076.68034375
transcript.pyannote[993].speaker SPEAKER_03
transcript.pyannote[993].start 7077.30471875
transcript.pyannote[993].end 7079.59971875
transcript.pyannote[994].speaker SPEAKER_03
transcript.pyannote[994].start 7080.27471875
transcript.pyannote[994].end 7081.37159375
transcript.pyannote[995].speaker SPEAKER_03
transcript.pyannote[995].start 7082.41784375
transcript.pyannote[995].end 7084.89846875
transcript.pyannote[996].speaker SPEAKER_03
transcript.pyannote[996].start 7085.43846875
transcript.pyannote[996].end 7090.48409375
transcript.pyannote[997].speaker SPEAKER_03
transcript.pyannote[997].start 7090.65284375
transcript.pyannote[997].end 7091.96909375
transcript.pyannote[998].speaker SPEAKER_03
transcript.pyannote[998].start 7092.72846875
transcript.pyannote[998].end 7093.28534375
transcript.pyannote[999].speaker SPEAKER_03
transcript.pyannote[999].start 7093.89284375
transcript.pyannote[999].end 7096.03596875
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 7097.26784375
transcript.pyannote[1000].end 7098.51659375
transcript.pyannote[1001].speaker SPEAKER_03
transcript.pyannote[1001].start 7099.93409375
transcript.pyannote[1001].end 7101.06471875
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 7101.68909375
transcript.pyannote[1002].end 7105.70534375
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 7106.49846875
transcript.pyannote[1003].end 7110.85221875
transcript.pyannote[1004].speaker SPEAKER_03
transcript.pyannote[1004].start 7111.34159375
transcript.pyannote[1004].end 7112.70846875
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 7113.46784375
transcript.pyannote[1005].end 7114.66596875
transcript.pyannote[1006].speaker SPEAKER_03
transcript.pyannote[1006].start 7115.35784375
transcript.pyannote[1006].end 7115.84721875
transcript.pyannote[1007].speaker SPEAKER_03
transcript.pyannote[1007].start 7116.47159375
transcript.pyannote[1007].end 7116.91034375
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 7118.31096875
transcript.pyannote[1008].end 7119.01971875
transcript.pyannote[1009].speaker SPEAKER_03
transcript.pyannote[1009].start 7119.39096875
transcript.pyannote[1009].end 7121.33159375
transcript.pyannote[1010].speaker SPEAKER_03
transcript.pyannote[1010].start 7122.20909375
transcript.pyannote[1010].end 7123.00221875
transcript.pyannote[1011].speaker SPEAKER_03
transcript.pyannote[1011].start 7123.82909375
transcript.pyannote[1011].end 7126.95096875
transcript.pyannote[1012].speaker SPEAKER_03
transcript.pyannote[1012].start 7128.80721875
transcript.pyannote[1012].end 7130.14034375
transcript.pyannote[1013].speaker SPEAKER_03
transcript.pyannote[1013].start 7130.95034375
transcript.pyannote[1013].end 7135.87784375
transcript.pyannote[1014].speaker SPEAKER_02
transcript.pyannote[1014].start 7133.61659375
transcript.pyannote[1014].end 7134.35909375
transcript.pyannote[1015].speaker SPEAKER_03
transcript.pyannote[1015].start 7136.26596875
transcript.pyannote[1015].end 7140.80534375
transcript.pyannote[1016].speaker SPEAKER_03
transcript.pyannote[1016].start 7141.48034375
transcript.pyannote[1016].end 7144.45034375
transcript.pyannote[1017].speaker SPEAKER_03
transcript.pyannote[1017].start 7144.70346875
transcript.pyannote[1017].end 7145.95221875
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 7146.32346875
transcript.pyannote[1018].end 7149.46221875
transcript.pyannote[1019].speaker SPEAKER_03
transcript.pyannote[1019].start 7149.91784375
transcript.pyannote[1019].end 7153.27596875
transcript.pyannote[1020].speaker SPEAKER_03
transcript.pyannote[1020].start 7154.38971875
transcript.pyannote[1020].end 7155.18284375
transcript.pyannote[1021].speaker SPEAKER_03
transcript.pyannote[1021].start 7156.24596875
transcript.pyannote[1021].end 7156.90409375
transcript.pyannote[1022].speaker SPEAKER_03
transcript.pyannote[1022].start 7157.56221875
transcript.pyannote[1022].end 7158.64221875
transcript.pyannote[1023].speaker SPEAKER_03
transcript.pyannote[1023].start 7160.38034375
transcript.pyannote[1023].end 7162.15221875
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 7163.13096875
transcript.pyannote[1024].end 7165.03784375
transcript.pyannote[1025].speaker SPEAKER_02
transcript.pyannote[1025].start 7165.03784375
transcript.pyannote[1025].end 7167.61971875
transcript.pyannote[1026].speaker SPEAKER_03
transcript.pyannote[1026].start 7166.11784375
transcript.pyannote[1026].end 7168.59846875
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 7169.67846875
transcript.pyannote[1027].end 7170.79221875
transcript.pyannote[1028].speaker SPEAKER_03
transcript.pyannote[1028].start 7171.58534375
transcript.pyannote[1028].end 7172.95221875
transcript.pyannote[1029].speaker SPEAKER_03
transcript.pyannote[1029].start 7173.86346875
transcript.pyannote[1029].end 7174.48784375
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 7174.82534375
transcript.pyannote[1030].end 7176.78284375
transcript.pyannote[1031].speaker SPEAKER_03
transcript.pyannote[1031].start 7178.43659375
transcript.pyannote[1031].end 7179.97221875
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 7180.68096875
transcript.pyannote[1032].end 7181.38971875
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 7182.21659375
transcript.pyannote[1033].end 7183.87034375
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 7184.96721875
transcript.pyannote[1034].end 7185.70971875
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 7186.50284375
transcript.pyannote[1035].end 7191.29534375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 7191.32909375
transcript.pyannote[1036].end 7192.35846875
transcript.pyannote[1037].speaker SPEAKER_03
transcript.pyannote[1037].start 7193.94471875
transcript.pyannote[1037].end 7194.51846875
transcript.pyannote[1038].speaker SPEAKER_03
transcript.pyannote[1038].start 7195.36221875
transcript.pyannote[1038].end 7197.06659375
transcript.pyannote[1039].speaker SPEAKER_03
transcript.pyannote[1039].start 7198.26471875
transcript.pyannote[1039].end 7199.95221875
transcript.pyannote[1040].speaker SPEAKER_03
transcript.pyannote[1040].start 7200.94784375
transcript.pyannote[1040].end 7201.60596875
transcript.pyannote[1041].speaker SPEAKER_03
transcript.pyannote[1041].start 7204.12034375
transcript.pyannote[1041].end 7205.41971875
transcript.pyannote[1042].speaker SPEAKER_02
transcript.pyannote[1042].start 7207.27596875
transcript.pyannote[1042].end 7208.77784375
transcript.pyannote[1043].speaker SPEAKER_02
transcript.pyannote[1043].start 7209.19971875
transcript.pyannote[1043].end 7212.43971875
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 7212.43971875
transcript.pyannote[1044].end 7212.47346875
transcript.pyannote[1045].speaker SPEAKER_02
transcript.pyannote[1045].start 7212.47346875
transcript.pyannote[1045].end 7212.49034375
transcript.pyannote[1046].speaker SPEAKER_02
transcript.pyannote[1046].start 7214.22846875
transcript.pyannote[1046].end 7214.24534375
transcript.pyannote[1047].speaker SPEAKER_03
transcript.pyannote[1047].start 7214.24534375
transcript.pyannote[1047].end 7214.92034375
transcript.pyannote[1048].speaker SPEAKER_03
transcript.pyannote[1048].start 7215.51096875
transcript.pyannote[1048].end 7216.11846875
transcript.pyannote[1049].speaker SPEAKER_03
transcript.pyannote[1049].start 7217.06346875
transcript.pyannote[1049].end 7218.98721875
transcript.pyannote[1050].speaker SPEAKER_03
transcript.pyannote[1050].start 7219.34159375
transcript.pyannote[1050].end 7220.80971875
transcript.pyannote[1051].speaker SPEAKER_03
transcript.pyannote[1051].start 7221.28221875
transcript.pyannote[1051].end 7223.59409375
transcript.pyannote[1052].speaker SPEAKER_03
transcript.pyannote[1052].start 7224.45471875
transcript.pyannote[1052].end 7226.61471875
transcript.pyannote[1053].speaker SPEAKER_03
transcript.pyannote[1053].start 7227.03659375
transcript.pyannote[1053].end 7230.54659375
transcript.pyannote[1054].speaker SPEAKER_03
transcript.pyannote[1054].start 7231.25534375
transcript.pyannote[1054].end 7232.03159375
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 7233.17909375
transcript.pyannote[1055].end 7233.73596875
transcript.pyannote[1056].speaker SPEAKER_03
transcript.pyannote[1056].start 7235.42346875
transcript.pyannote[1056].end 7239.10221875
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 7239.81096875
transcript.pyannote[1057].end 7242.34221875
transcript.pyannote[1058].speaker SPEAKER_03
transcript.pyannote[1058].start 7243.01721875
transcript.pyannote[1058].end 7244.92409375
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 7245.46409375
transcript.pyannote[1059].end 7246.37534375
transcript.pyannote[1060].speaker SPEAKER_03
transcript.pyannote[1060].start 7247.75909375
transcript.pyannote[1060].end 7250.47596875
transcript.pyannote[1061].speaker SPEAKER_03
transcript.pyannote[1061].start 7250.89784375
transcript.pyannote[1061].end 7253.15909375
transcript.pyannote[1062].speaker SPEAKER_03
transcript.pyannote[1062].start 7255.45409375
transcript.pyannote[1062].end 7255.99409375
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 7257.37784375
transcript.pyannote[1063].end 7259.53784375
transcript.pyannote[1064].speaker SPEAKER_03
transcript.pyannote[1064].start 7259.85846875
transcript.pyannote[1064].end 7260.63471875
transcript.pyannote[1065].speaker SPEAKER_03
transcript.pyannote[1065].start 7261.52909375
transcript.pyannote[1065].end 7263.06471875
transcript.pyannote[1066].speaker SPEAKER_03
transcript.pyannote[1066].start 7263.67221875
transcript.pyannote[1066].end 7265.54534375
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 7266.25409375
transcript.pyannote[1067].end 7267.03034375
transcript.pyannote[1068].speaker SPEAKER_02
transcript.pyannote[1068].start 7267.03034375
transcript.pyannote[1068].end 7269.08909375
transcript.pyannote[1069].speaker SPEAKER_02
transcript.pyannote[1069].start 7269.20721875
transcript.pyannote[1069].end 7271.29971875
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 7271.29971875
transcript.pyannote[1070].end 7272.46409375
transcript.pyannote[1071].speaker SPEAKER_02
transcript.pyannote[1071].start 7271.56971875
transcript.pyannote[1071].end 7271.62034375
transcript.pyannote[1072].speaker SPEAKER_02
transcript.pyannote[1072].start 7271.63721875
transcript.pyannote[1072].end 7280.39534375
transcript.pyannote[1073].speaker SPEAKER_03
transcript.pyannote[1073].start 7277.54346875
transcript.pyannote[1073].end 7278.21846875
transcript.pyannote[1074].speaker SPEAKER_02
transcript.pyannote[1074].start 7280.85096875
transcript.pyannote[1074].end 7281.55971875
transcript.pyannote[1075].speaker SPEAKER_02
transcript.pyannote[1075].start 7281.84659375
transcript.pyannote[1075].end 7281.96471875
transcript.pyannote[1076].speaker SPEAKER_03
transcript.pyannote[1076].start 7281.96471875
transcript.pyannote[1076].end 7283.39909375
transcript.pyannote[1077].speaker SPEAKER_02
transcript.pyannote[1077].start 7283.39909375
transcript.pyannote[1077].end 7283.41596875
transcript.pyannote[1078].speaker SPEAKER_03
transcript.pyannote[1078].start 7284.00659375
transcript.pyannote[1078].end 7288.24221875
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 7289.22096875
transcript.pyannote[1079].end 7291.83659375
transcript.pyannote[1080].speaker SPEAKER_03
transcript.pyannote[1080].start 7292.34284375
transcript.pyannote[1080].end 7294.13159375
transcript.pyannote[1081].speaker SPEAKER_03
transcript.pyannote[1081].start 7294.36784375
transcript.pyannote[1081].end 7295.05971875
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 7295.49846875
transcript.pyannote[1082].end 7296.15659375
transcript.pyannote[1083].speaker SPEAKER_03
transcript.pyannote[1083].start 7297.47284375
transcript.pyannote[1083].end 7305.33659375
transcript.pyannote[1084].speaker SPEAKER_03
transcript.pyannote[1084].start 7305.91034375
transcript.pyannote[1084].end 7314.95534375
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 7315.81596875
transcript.pyannote[1085].end 7318.27971875
transcript.pyannote[1086].speaker SPEAKER_03
transcript.pyannote[1086].start 7318.58346875
transcript.pyannote[1086].end 7324.72596875
transcript.pyannote[1087].speaker SPEAKER_03
transcript.pyannote[1087].start 7325.68784375
transcript.pyannote[1087].end 7327.05471875
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 7327.12221875
transcript.pyannote[1088].end 7328.03346875
transcript.pyannote[1089].speaker SPEAKER_02
transcript.pyannote[1089].start 7328.03346875
transcript.pyannote[1089].end 7329.16409375
transcript.pyannote[1090].speaker SPEAKER_02
transcript.pyannote[1090].start 7330.09221875
transcript.pyannote[1090].end 7335.20534375
transcript.pyannote[1091].speaker SPEAKER_02
transcript.pyannote[1091].start 7335.96471875
transcript.pyannote[1091].end 7339.01909375
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 7337.04471875
transcript.pyannote[1092].end 7339.05284375
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 7339.57596875
transcript.pyannote[1093].end 7340.87534375
transcript.pyannote[1094].speaker SPEAKER_03
transcript.pyannote[1094].start 7341.48284375
transcript.pyannote[1094].end 7343.69346875
transcript.pyannote[1095].speaker SPEAKER_03
transcript.pyannote[1095].start 7343.96346875
transcript.pyannote[1095].end 7345.06034375
transcript.pyannote[1096].speaker SPEAKER_03
transcript.pyannote[1096].start 7346.07284375
transcript.pyannote[1096].end 7348.28346875
transcript.pyannote[1097].speaker SPEAKER_03
transcript.pyannote[1097].start 7350.10596875
transcript.pyannote[1097].end 7352.92409375
transcript.pyannote[1098].speaker SPEAKER_03
transcript.pyannote[1098].start 7353.36284375
transcript.pyannote[1098].end 7355.75909375
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 7356.38346875
transcript.pyannote[1099].end 7360.72034375
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 7361.64846875
transcript.pyannote[1100].end 7371.08159375
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 7371.35159375
transcript.pyannote[1101].end 7373.46096875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 7374.23721875
transcript.pyannote[1102].end 7375.72221875
transcript.pyannote[1103].speaker SPEAKER_03
transcript.pyannote[1103].start 7376.49846875
transcript.pyannote[1103].end 7389.39096875
transcript.pyannote[1104].speaker SPEAKER_03
transcript.pyannote[1104].start 7389.62721875
transcript.pyannote[1104].end 7393.32284375
transcript.pyannote[1105].speaker SPEAKER_02
transcript.pyannote[1105].start 7390.62284375
transcript.pyannote[1105].end 7391.12909375
transcript.pyannote[1106].speaker SPEAKER_02
transcript.pyannote[1106].start 7391.82096875
transcript.pyannote[1106].end 7392.81659375
transcript.pyannote[1107].speaker SPEAKER_03
transcript.pyannote[1107].start 7393.74471875
transcript.pyannote[1107].end 7394.68971875
transcript.pyannote[1108].speaker SPEAKER_03
transcript.pyannote[1108].start 7396.63034375
transcript.pyannote[1108].end 7397.18721875
transcript.pyannote[1109].speaker SPEAKER_03
transcript.pyannote[1109].start 7397.57534375
transcript.pyannote[1109].end 7401.11909375
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 7402.87409375
transcript.pyannote[1110].end 7403.59971875
transcript.pyannote[1111].speaker SPEAKER_03
transcript.pyannote[1111].start 7404.54471875
transcript.pyannote[1111].end 7405.72596875
transcript.pyannote[1112].speaker SPEAKER_03
transcript.pyannote[1112].start 7405.92846875
transcript.pyannote[1112].end 7406.63721875
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 7407.36284375
transcript.pyannote[1113].end 7411.73346875
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 7412.66159375
transcript.pyannote[1114].end 7418.38221875
transcript.pyannote[1115].speaker SPEAKER_03
transcript.pyannote[1115].start 7419.25971875
transcript.pyannote[1115].end 7420.13721875
transcript.pyannote[1116].speaker SPEAKER_02
transcript.pyannote[1116].start 7420.13721875
transcript.pyannote[1116].end 7420.15409375
transcript.pyannote[1117].speaker SPEAKER_02
transcript.pyannote[1117].start 7422.17909375
transcript.pyannote[1117].end 7422.73596875
transcript.pyannote[1118].speaker SPEAKER_02
transcript.pyannote[1118].start 7424.18721875
transcript.pyannote[1118].end 7429.41846875
transcript.pyannote[1119].speaker SPEAKER_02
transcript.pyannote[1119].start 7429.58721875
transcript.pyannote[1119].end 7435.96596875
transcript.pyannote[1120].speaker SPEAKER_02
transcript.pyannote[1120].start 7436.18534375
transcript.pyannote[1120].end 7438.96971875
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 7436.25284375
transcript.pyannote[1121].end 7436.99534375
transcript.pyannote[1122].speaker SPEAKER_03
transcript.pyannote[1122].start 7437.73784375
transcript.pyannote[1122].end 7438.49721875
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 7438.96971875
transcript.pyannote[1123].end 7441.61909375
transcript.pyannote[1124].speaker SPEAKER_03
transcript.pyannote[1124].start 7442.61471875
transcript.pyannote[1124].end 7446.47909375
transcript.pyannote[1125].speaker SPEAKER_02
transcript.pyannote[1125].start 7445.80409375
transcript.pyannote[1125].end 7446.22596875
transcript.pyannote[1126].speaker SPEAKER_02
transcript.pyannote[1126].start 7446.47909375
transcript.pyannote[1126].end 7446.49596875
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 7446.68159375
transcript.pyannote[1127].end 7449.02721875
transcript.pyannote[1128].speaker SPEAKER_02
transcript.pyannote[1128].start 7446.73221875
transcript.pyannote[1128].end 7447.08659375
transcript.pyannote[1129].speaker SPEAKER_02
transcript.pyannote[1129].start 7449.02721875
transcript.pyannote[1129].end 7452.97596875
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 7449.73596875
transcript.pyannote[1130].end 7450.00596875
transcript.pyannote[1131].speaker SPEAKER_03
transcript.pyannote[1131].start 7452.97596875
transcript.pyannote[1131].end 7455.15284375
transcript.pyannote[1132].speaker SPEAKER_02
transcript.pyannote[1132].start 7455.15284375
transcript.pyannote[1132].end 7455.60846875
transcript.pyannote[1133].speaker SPEAKER_03
transcript.pyannote[1133].start 7455.49034375
transcript.pyannote[1133].end 7469.02409375
transcript.pyannote[1134].speaker SPEAKER_02
transcript.pyannote[1134].start 7465.83471875
transcript.pyannote[1134].end 7466.42534375
transcript.pyannote[1135].speaker SPEAKER_02
transcript.pyannote[1135].start 7466.94846875
transcript.pyannote[1135].end 7468.97346875
transcript.pyannote[1136].speaker SPEAKER_02
transcript.pyannote[1136].start 7469.02409375
transcript.pyannote[1136].end 7480.97159375
transcript.pyannote[1137].speaker SPEAKER_03
transcript.pyannote[1137].start 7470.81284375
transcript.pyannote[1137].end 7471.45409375
transcript.pyannote[1138].speaker SPEAKER_03
transcript.pyannote[1138].start 7480.97159375
transcript.pyannote[1138].end 7484.07659375
transcript.pyannote[1139].speaker SPEAKER_03
transcript.pyannote[1139].start 7484.61659375
transcript.pyannote[1139].end 7487.16471875
transcript.pyannote[1140].speaker SPEAKER_03
transcript.pyannote[1140].start 7487.51909375
transcript.pyannote[1140].end 7491.94034375
transcript.pyannote[1141].speaker SPEAKER_00
transcript.pyannote[1141].start 7489.17284375
transcript.pyannote[1141].end 7489.89846875
transcript.pyannote[1142].speaker SPEAKER_03
transcript.pyannote[1142].start 7492.04159375
transcript.pyannote[1142].end 7513.03409375
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 7498.74096875
transcript.pyannote[1143].end 7500.24284375
transcript.pyannote[1144].speaker SPEAKER_02
transcript.pyannote[1144].start 7501.71096875
transcript.pyannote[1144].end 7502.18346875
transcript.pyannote[1145].speaker SPEAKER_00
transcript.pyannote[1145].start 7504.74846875
transcript.pyannote[1145].end 7505.06909375
transcript.pyannote[1146].speaker SPEAKER_03
transcript.pyannote[1146].start 7513.79346875
transcript.pyannote[1146].end 7515.49784375
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 7516.47659375
transcript.pyannote[1147].end 7520.34096875
transcript.pyannote[1148].speaker SPEAKER_03
transcript.pyannote[1148].start 7520.72909375
transcript.pyannote[1148].end 7527.68159375
transcript.pyannote[1149].speaker SPEAKER_03
transcript.pyannote[1149].start 7528.55909375
transcript.pyannote[1149].end 7529.65596875
transcript.pyannote[1150].speaker SPEAKER_03
transcript.pyannote[1150].start 7531.03971875
transcript.pyannote[1150].end 7532.40659375
transcript.pyannote[1151].speaker SPEAKER_03
transcript.pyannote[1151].start 7533.18284375
transcript.pyannote[1151].end 7533.68909375
transcript.pyannote[1152].speaker SPEAKER_03
transcript.pyannote[1152].start 7534.26284375
transcript.pyannote[1152].end 7535.10659375
transcript.pyannote[1153].speaker SPEAKER_03
transcript.pyannote[1153].start 7535.14034375
transcript.pyannote[1153].end 7537.35096875
transcript.pyannote[1154].speaker SPEAKER_03
transcript.pyannote[1154].start 7537.97534375
transcript.pyannote[1154].end 7538.92034375
transcript.pyannote[1155].speaker SPEAKER_03
transcript.pyannote[1155].start 7539.61221875
transcript.pyannote[1155].end 7549.48409375
transcript.pyannote[1156].speaker SPEAKER_02
transcript.pyannote[1156].start 7549.48409375
transcript.pyannote[1156].end 7549.50096875
transcript.pyannote[1157].speaker SPEAKER_02
transcript.pyannote[1157].start 7551.01971875
transcript.pyannote[1157].end 7551.25596875
transcript.pyannote[1158].speaker SPEAKER_03
transcript.pyannote[1158].start 7551.45846875
transcript.pyannote[1158].end 7551.49221875
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 7551.49221875
transcript.pyannote[1159].end 7563.45659375
transcript.pyannote[1160].speaker SPEAKER_03
transcript.pyannote[1160].start 7553.56784375
transcript.pyannote[1160].end 7554.14159375
transcript.pyannote[1161].speaker SPEAKER_03
transcript.pyannote[1161].start 7557.02721875
transcript.pyannote[1161].end 7557.98909375
transcript.pyannote[1162].speaker SPEAKER_02
transcript.pyannote[1162].start 7564.48596875
transcript.pyannote[1162].end 7580.58471875
transcript.pyannote[1163].speaker SPEAKER_03
transcript.pyannote[1163].start 7572.31596875
transcript.pyannote[1163].end 7572.80534375
transcript.pyannote[1164].speaker SPEAKER_03
transcript.pyannote[1164].start 7577.56409375
transcript.pyannote[1164].end 7580.61846875
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 7580.61846875
transcript.pyannote[1165].end 7580.97284375
transcript.pyannote[1166].speaker SPEAKER_03
transcript.pyannote[1166].start 7580.97284375
transcript.pyannote[1166].end 7581.02346875
transcript.pyannote[1167].speaker SPEAKER_02
transcript.pyannote[1167].start 7581.02346875
transcript.pyannote[1167].end 7581.96846875
transcript.pyannote[1168].speaker SPEAKER_03
transcript.pyannote[1168].start 7581.96846875
transcript.pyannote[1168].end 7582.03596875
transcript.pyannote[1169].speaker SPEAKER_02
transcript.pyannote[1169].start 7582.03596875
transcript.pyannote[1169].end 7582.87971875
transcript.pyannote[1170].speaker SPEAKER_03
transcript.pyannote[1170].start 7582.87971875
transcript.pyannote[1170].end 7582.94721875
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 7582.94721875
transcript.pyannote[1171].end 7582.96409375
transcript.pyannote[1172].speaker SPEAKER_03
transcript.pyannote[1172].start 7582.96409375
transcript.pyannote[1172].end 7583.03159375
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 7583.03159375
transcript.pyannote[1173].end 7583.95971875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 7585.10721875
transcript.pyannote[1174].end 7594.35471875
transcript.pyannote[1175].speaker SPEAKER_03
transcript.pyannote[1175].start 7586.18721875
transcript.pyannote[1175].end 7587.19971875
transcript.pyannote[1176].speaker SPEAKER_02
transcript.pyannote[1176].start 7594.86096875
transcript.pyannote[1176].end 7595.77221875
transcript.pyannote[1177].speaker SPEAKER_03
transcript.pyannote[1177].start 7595.77221875
transcript.pyannote[1177].end 7599.26534375
transcript.pyannote[1178].speaker SPEAKER_02
transcript.pyannote[1178].start 7595.82284375
transcript.pyannote[1178].end 7596.44721875
transcript.pyannote[1179].speaker SPEAKER_03
transcript.pyannote[1179].start 7600.42971875
transcript.pyannote[1179].end 7602.38721875
transcript.pyannote[1180].speaker SPEAKER_03
transcript.pyannote[1180].start 7602.82596875
transcript.pyannote[1180].end 7606.03221875
transcript.pyannote[1181].speaker SPEAKER_03
transcript.pyannote[1181].start 7606.80846875
transcript.pyannote[1181].end 7607.55096875
transcript.pyannote[1182].speaker SPEAKER_03
transcript.pyannote[1182].start 7607.56784375
transcript.pyannote[1182].end 7609.20471875
transcript.pyannote[1183].speaker SPEAKER_03
transcript.pyannote[1183].start 7609.98096875
transcript.pyannote[1183].end 7638.36471875
transcript.pyannote[1184].speaker SPEAKER_02
transcript.pyannote[1184].start 7626.18096875
transcript.pyannote[1184].end 7628.64471875
transcript.pyannote[1185].speaker SPEAKER_02
transcript.pyannote[1185].start 7630.31534375
transcript.pyannote[1185].end 7630.97346875
transcript.pyannote[1186].speaker SPEAKER_00
transcript.pyannote[1186].start 7630.97346875
transcript.pyannote[1186].end 7633.82534375
transcript.pyannote[1187].speaker SPEAKER_03
transcript.pyannote[1187].start 7638.55034375
transcript.pyannote[1187].end 7642.11096875
transcript.pyannote[1188].speaker SPEAKER_23
transcript.pyannote[1188].start 7648.55721875
transcript.pyannote[1188].end 7650.54846875
transcript.pyannote[1189].speaker SPEAKER_21
transcript.pyannote[1189].start 7658.20971875
transcript.pyannote[1189].end 7661.24721875
transcript.pyannote[1190].speaker SPEAKER_21
transcript.pyannote[1190].start 7667.45721875
transcript.pyannote[1190].end 7668.63846875
transcript.pyannote[1191].speaker SPEAKER_21
transcript.pyannote[1191].start 7668.84096875
transcript.pyannote[1191].end 7673.31284375
transcript.pyannote[1192].speaker SPEAKER_21
transcript.pyannote[1192].start 7673.81909375
transcript.pyannote[1192].end 7674.78096875
transcript.pyannote[1193].speaker SPEAKER_21
transcript.pyannote[1193].start 7675.23659375
transcript.pyannote[1193].end 7679.05034375
transcript.pyannote[1194].speaker SPEAKER_21
transcript.pyannote[1194].start 7679.26971875
transcript.pyannote[1194].end 7680.78846875
transcript.pyannote[1195].speaker SPEAKER_21
transcript.pyannote[1195].start 7681.37909375
transcript.pyannote[1195].end 7683.47159375
transcript.pyannote[1196].speaker SPEAKER_21
transcript.pyannote[1196].start 7683.74159375
transcript.pyannote[1196].end 7686.62721875
transcript.pyannote[1197].speaker SPEAKER_21
transcript.pyannote[1197].start 7686.96471875
transcript.pyannote[1197].end 7692.88784375
transcript.pyannote[1198].speaker SPEAKER_21
transcript.pyannote[1198].start 7692.97221875
transcript.pyannote[1198].end 7709.07096875
transcript.pyannote[1199].speaker SPEAKER_21
transcript.pyannote[1199].start 7709.18909375
transcript.pyannote[1199].end 7711.56846875
transcript.pyannote[1200].speaker SPEAKER_21
transcript.pyannote[1200].start 7711.83846875
transcript.pyannote[1200].end 7712.71596875
transcript.pyannote[1201].speaker SPEAKER_21
transcript.pyannote[1201].start 7713.05346875
transcript.pyannote[1201].end 7714.35284375
transcript.pyannote[1202].speaker SPEAKER_21
transcript.pyannote[1202].start 7714.60596875
transcript.pyannote[1202].end 7715.02784375
transcript.pyannote[1203].speaker SPEAKER_21
transcript.pyannote[1203].start 7715.26409375
transcript.pyannote[1203].end 7716.46221875
transcript.pyannote[1204].speaker SPEAKER_21
transcript.pyannote[1204].start 7717.10346875
transcript.pyannote[1204].end 7718.35221875
transcript.pyannote[1205].speaker SPEAKER_21
transcript.pyannote[1205].start 7719.07784375
transcript.pyannote[1205].end 7720.05659375
transcript.pyannote[1206].speaker SPEAKER_21
transcript.pyannote[1206].start 7720.74846875
transcript.pyannote[1206].end 7720.78221875
transcript.pyannote[1207].speaker SPEAKER_02
transcript.pyannote[1207].start 7720.78221875
transcript.pyannote[1207].end 7721.64284375
transcript.pyannote[1208].speaker SPEAKER_02
transcript.pyannote[1208].start 7721.94659375
transcript.pyannote[1208].end 7728.54471875
transcript.pyannote[1209].speaker SPEAKER_21
transcript.pyannote[1209].start 7727.49846875
transcript.pyannote[1209].end 7728.40971875
transcript.pyannote[1210].speaker SPEAKER_21
transcript.pyannote[1210].start 7728.54471875
transcript.pyannote[1210].end 7728.62909375
transcript.pyannote[1211].speaker SPEAKER_02
transcript.pyannote[1211].start 7728.62909375
transcript.pyannote[1211].end 7728.64596875
transcript.pyannote[1212].speaker SPEAKER_21
transcript.pyannote[1212].start 7728.64596875
transcript.pyannote[1212].end 7728.81471875
transcript.pyannote[1213].speaker SPEAKER_02
transcript.pyannote[1213].start 7728.81471875
transcript.pyannote[1213].end 7729.03409375
transcript.pyannote[1214].speaker SPEAKER_21
transcript.pyannote[1214].start 7729.03409375
transcript.pyannote[1214].end 7730.21534375
transcript.pyannote[1215].speaker SPEAKER_21
transcript.pyannote[1215].start 7730.26596875
transcript.pyannote[1215].end 7737.21846875
transcript.pyannote[1216].speaker SPEAKER_21
transcript.pyannote[1216].start 7737.72471875
transcript.pyannote[1216].end 7738.95659375
transcript.pyannote[1217].speaker SPEAKER_21
transcript.pyannote[1217].start 7740.82971875
transcript.pyannote[1217].end 7740.96471875
transcript.pyannote[1218].speaker SPEAKER_02
transcript.pyannote[1218].start 7740.96471875
transcript.pyannote[1218].end 7741.08284375
transcript.pyannote[1219].speaker SPEAKER_21
transcript.pyannote[1219].start 7741.08284375
transcript.pyannote[1219].end 7741.09971875
transcript.pyannote[1220].speaker SPEAKER_02
transcript.pyannote[1220].start 7741.09971875
transcript.pyannote[1220].end 7742.95596875
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 7743.83346875
transcript.pyannote[1221].end 7747.30971875
transcript.pyannote[1222].speaker SPEAKER_02
transcript.pyannote[1222].start 7747.83284375
transcript.pyannote[1222].end 7748.18721875
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 7748.33909375
transcript.pyannote[1223].end 7749.55409375
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 7749.92534375
transcript.pyannote[1224].end 7758.43034375
transcript.pyannote[1225].speaker SPEAKER_02
transcript.pyannote[1225].start 7758.71721875
transcript.pyannote[1225].end 7761.13034375
transcript.pyannote[1226].speaker SPEAKER_02
transcript.pyannote[1226].start 7762.12596875
transcript.pyannote[1226].end 7762.26096875
transcript.pyannote[1227].speaker SPEAKER_02
transcript.pyannote[1227].start 7762.36221875
transcript.pyannote[1227].end 7764.74159375
transcript.pyannote[1228].speaker SPEAKER_02
transcript.pyannote[1228].start 7766.24346875
transcript.pyannote[1228].end 7770.95159375
transcript.pyannote[1229].speaker SPEAKER_02
transcript.pyannote[1229].start 7771.44096875
transcript.pyannote[1229].end 7774.02284375
transcript.pyannote[1230].speaker SPEAKER_02
transcript.pyannote[1230].start 7774.37721875
transcript.pyannote[1230].end 7781.02596875
transcript.pyannote[1231].speaker SPEAKER_21
transcript.pyannote[1231].start 7781.02596875
transcript.pyannote[1231].end 7787.92784375
transcript.pyannote[1232].speaker SPEAKER_21
transcript.pyannote[1232].start 7788.95721875
transcript.pyannote[1232].end 7791.40409375
transcript.pyannote[1233].speaker SPEAKER_21
transcript.pyannote[1233].start 7791.80909375
transcript.pyannote[1233].end 7802.47409375
transcript.pyannote[1234].speaker SPEAKER_21
transcript.pyannote[1234].start 7803.55409375
transcript.pyannote[1234].end 7807.26659375
transcript.pyannote[1235].speaker SPEAKER_21
transcript.pyannote[1235].start 7807.92471875
transcript.pyannote[1235].end 7815.07971875
transcript.pyannote[1236].speaker SPEAKER_00
transcript.pyannote[1236].start 7811.87346875
transcript.pyannote[1236].end 7812.00846875
transcript.pyannote[1237].speaker SPEAKER_17
transcript.pyannote[1237].start 7812.00846875
transcript.pyannote[1237].end 7812.97034375
transcript.pyannote[1238].speaker SPEAKER_00
transcript.pyannote[1238].start 7812.97034375
transcript.pyannote[1238].end 7813.12221875
transcript.pyannote[1239].speaker SPEAKER_21
transcript.pyannote[1239].start 7815.24846875
transcript.pyannote[1239].end 7818.13409375
transcript.pyannote[1240].speaker SPEAKER_21
transcript.pyannote[1240].start 7818.33659375
transcript.pyannote[1240].end 7828.86659375
transcript.pyannote[1241].speaker SPEAKER_24
transcript.pyannote[1241].start 7823.98971875
transcript.pyannote[1241].end 7824.00659375
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 7824.00659375
transcript.pyannote[1242].end 7827.39846875
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 7831.02659375
transcript.pyannote[1243].end 7835.71784375
transcript.pyannote[1244].speaker SPEAKER_21
transcript.pyannote[1244].start 7833.82784375
transcript.pyannote[1244].end 7835.73471875
transcript.pyannote[1245].speaker SPEAKER_21
transcript.pyannote[1245].start 7837.00034375
transcript.pyannote[1245].end 7837.01721875
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 7837.01721875
transcript.pyannote[1246].end 7846.02846875
transcript.pyannote[1247].speaker SPEAKER_21
transcript.pyannote[1247].start 7841.20221875
transcript.pyannote[1247].end 7842.51846875
transcript.pyannote[1248].speaker SPEAKER_21
transcript.pyannote[1248].start 7843.88534375
transcript.pyannote[1248].end 7851.68159375
transcript.pyannote[1249].speaker SPEAKER_02
transcript.pyannote[1249].start 7851.68159375
transcript.pyannote[1249].end 7851.69846875
transcript.pyannote[1250].speaker SPEAKER_21
transcript.pyannote[1250].start 7852.64346875
transcript.pyannote[1250].end 7852.96409375
transcript.pyannote[1251].speaker SPEAKER_02
transcript.pyannote[1251].start 7852.96409375
transcript.pyannote[1251].end 7853.63909375
transcript.pyannote[1252].speaker SPEAKER_02
transcript.pyannote[1252].start 7854.31409375
transcript.pyannote[1252].end 7861.18221875
transcript.pyannote[1253].speaker SPEAKER_02
transcript.pyannote[1253].start 7861.77284375
transcript.pyannote[1253].end 7866.02534375
transcript.pyannote[1254].speaker SPEAKER_21
transcript.pyannote[1254].start 7866.02534375
transcript.pyannote[1254].end 7876.26846875
transcript.pyannote[1255].speaker SPEAKER_02
transcript.pyannote[1255].start 7872.70784375
transcript.pyannote[1255].end 7873.07909375
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 7873.46721875
transcript.pyannote[1256].end 7873.95659375
transcript.pyannote[1257].speaker SPEAKER_21
transcript.pyannote[1257].start 7876.67346875
transcript.pyannote[1257].end 7881.11159375
transcript.pyannote[1258].speaker SPEAKER_21
transcript.pyannote[1258].start 7881.53346875
transcript.pyannote[1258].end 7883.00159375
transcript.pyannote[1259].speaker SPEAKER_21
transcript.pyannote[1259].start 7883.59221875
transcript.pyannote[1259].end 7884.62159375
transcript.pyannote[1260].speaker SPEAKER_21
transcript.pyannote[1260].start 7885.87034375
transcript.pyannote[1260].end 7887.16971875
transcript.pyannote[1261].speaker SPEAKER_21
transcript.pyannote[1261].start 7887.99659375
transcript.pyannote[1261].end 7889.39721875
transcript.pyannote[1262].speaker SPEAKER_21
transcript.pyannote[1262].start 7889.75159375
transcript.pyannote[1262].end 7890.94971875
transcript.pyannote[1263].speaker SPEAKER_21
transcript.pyannote[1263].start 7891.48971875
transcript.pyannote[1263].end 7893.51471875
transcript.pyannote[1264].speaker SPEAKER_21
transcript.pyannote[1264].start 7893.73409375
transcript.pyannote[1264].end 7894.25721875
transcript.pyannote[1265].speaker SPEAKER_21
transcript.pyannote[1265].start 7894.29096875
transcript.pyannote[1265].end 7896.63659375
transcript.pyannote[1266].speaker SPEAKER_21
transcript.pyannote[1266].start 7897.17659375
transcript.pyannote[1266].end 7898.35784375
transcript.pyannote[1267].speaker SPEAKER_21
transcript.pyannote[1267].start 7898.89784375
transcript.pyannote[1267].end 7900.43346875
transcript.pyannote[1268].speaker SPEAKER_21
transcript.pyannote[1268].start 7900.63596875
transcript.pyannote[1268].end 7909.22534375
transcript.pyannote[1269].speaker SPEAKER_21
transcript.pyannote[1269].start 7909.69784375
transcript.pyannote[1269].end 7911.23346875
transcript.pyannote[1270].speaker SPEAKER_21
transcript.pyannote[1270].start 7911.87471875
transcript.pyannote[1270].end 7916.61659375
transcript.pyannote[1271].speaker SPEAKER_21
transcript.pyannote[1271].start 7916.83596875
transcript.pyannote[1271].end 7919.36721875
transcript.pyannote[1272].speaker SPEAKER_21
transcript.pyannote[1272].start 7919.90721875
transcript.pyannote[1272].end 7921.71284375
transcript.pyannote[1273].speaker SPEAKER_21
transcript.pyannote[1273].start 7922.13471875
transcript.pyannote[1273].end 7931.92221875
transcript.pyannote[1274].speaker SPEAKER_21
transcript.pyannote[1274].start 7932.39471875
transcript.pyannote[1274].end 7955.47971875
transcript.pyannote[1275].speaker SPEAKER_21
transcript.pyannote[1275].start 7955.80034375
transcript.pyannote[1275].end 7955.81721875
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 7955.81721875
transcript.pyannote[1276].end 7963.02284375
transcript.pyannote[1277].speaker SPEAKER_21
transcript.pyannote[1277].start 7955.85096875
transcript.pyannote[1277].end 7956.64409375
transcript.pyannote[1278].speaker SPEAKER_21
transcript.pyannote[1278].start 7963.02284375
transcript.pyannote[1278].end 7972.10159375
transcript.pyannote[1279].speaker SPEAKER_21
transcript.pyannote[1279].start 7972.47284375
transcript.pyannote[1279].end 8008.87221875
transcript.pyannote[1280].speaker SPEAKER_21
transcript.pyannote[1280].start 8009.29409375
transcript.pyannote[1280].end 8016.33096875
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 8016.33096875
transcript.pyannote[1281].end 8016.34784375
transcript.pyannote[1282].speaker SPEAKER_21
transcript.pyannote[1282].start 8016.88784375
transcript.pyannote[1282].end 8016.97221875
transcript.pyannote[1283].speaker SPEAKER_02
transcript.pyannote[1283].start 8016.97221875
transcript.pyannote[1283].end 8017.68096875
transcript.pyannote[1284].speaker SPEAKER_21
transcript.pyannote[1284].start 8017.68096875
transcript.pyannote[1284].end 8017.69784375
transcript.pyannote[1285].speaker SPEAKER_02
transcript.pyannote[1285].start 8018.05221875
transcript.pyannote[1285].end 8024.46471875
transcript.pyannote[1286].speaker SPEAKER_21
transcript.pyannote[1286].start 8023.58721875
transcript.pyannote[1286].end 8024.48159375
transcript.pyannote[1287].speaker SPEAKER_21
transcript.pyannote[1287].start 8025.08909375
transcript.pyannote[1287].end 8033.45909375
transcript.pyannote[1288].speaker SPEAKER_21
transcript.pyannote[1288].start 8034.40409375
transcript.pyannote[1288].end 8036.61471875
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 8036.61471875
transcript.pyannote[1289].end 8036.95221875
transcript.pyannote[1290].speaker SPEAKER_21
transcript.pyannote[1290].start 8036.95221875
transcript.pyannote[1290].end 8037.49221875
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 8037.49221875
transcript.pyannote[1291].end 8037.74534375
transcript.pyannote[1292].speaker SPEAKER_21
transcript.pyannote[1292].start 8037.74534375
transcript.pyannote[1292].end 8037.96471875
transcript.pyannote[1293].speaker SPEAKER_02
transcript.pyannote[1293].start 8037.96471875
transcript.pyannote[1293].end 8062.82159375
transcript.pyannote[1294].speaker SPEAKER_21
transcript.pyannote[1294].start 8048.54534375
transcript.pyannote[1294].end 8049.03471875
transcript.pyannote[1295].speaker SPEAKER_21
transcript.pyannote[1295].start 8062.82159375
transcript.pyannote[1295].end 8062.85534375
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 8063.49659375
transcript.pyannote[1296].end 8063.53034375
transcript.pyannote[1297].speaker SPEAKER_21
transcript.pyannote[1297].start 8063.53034375
transcript.pyannote[1297].end 8065.43721875
transcript.pyannote[1298].speaker SPEAKER_21
transcript.pyannote[1298].start 8065.75784375
transcript.pyannote[1298].end 8066.97284375
transcript.pyannote[1299].speaker SPEAKER_21
transcript.pyannote[1299].start 8067.25971875
transcript.pyannote[1299].end 8070.38159375
transcript.pyannote[1300].speaker SPEAKER_21
transcript.pyannote[1300].start 8073.23346875
transcript.pyannote[1300].end 8073.77346875
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 8073.77346875
transcript.pyannote[1301].end 8073.87471875
transcript.pyannote[1302].speaker SPEAKER_21
transcript.pyannote[1302].start 8073.87471875
transcript.pyannote[1302].end 8073.90846875
transcript.pyannote[1303].speaker SPEAKER_21
transcript.pyannote[1303].start 8074.34721875
transcript.pyannote[1303].end 8074.92096875
transcript.pyannote[1304].speaker SPEAKER_21
transcript.pyannote[1304].start 8074.97159375
transcript.pyannote[1304].end 8078.00909375
transcript.pyannote[1305].speaker SPEAKER_21
transcript.pyannote[1305].start 8078.29596875
transcript.pyannote[1305].end 8084.33721875
transcript.pyannote[1306].speaker SPEAKER_21
transcript.pyannote[1306].start 8085.04596875
transcript.pyannote[1306].end 8086.22721875
transcript.pyannote[1307].speaker SPEAKER_21
transcript.pyannote[1307].start 8086.59846875
transcript.pyannote[1307].end 8095.96409375
transcript.pyannote[1308].speaker SPEAKER_02
transcript.pyannote[1308].start 8094.74909375
transcript.pyannote[1308].end 8095.50846875
transcript.pyannote[1309].speaker SPEAKER_02
transcript.pyannote[1309].start 8095.96409375
transcript.pyannote[1309].end 8096.03159375
transcript.pyannote[1310].speaker SPEAKER_21
transcript.pyannote[1310].start 8096.03159375
transcript.pyannote[1310].end 8097.31409375
transcript.pyannote[1311].speaker SPEAKER_21
transcript.pyannote[1311].start 8099.13659375
transcript.pyannote[1311].end 8101.17846875
transcript.pyannote[1312].speaker SPEAKER_21
transcript.pyannote[1312].start 8104.97534375
transcript.pyannote[1312].end 8105.00909375
transcript.pyannote[1313].speaker SPEAKER_02
transcript.pyannote[1313].start 8105.00909375
transcript.pyannote[1313].end 8105.32971875
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 8105.61659375
transcript.pyannote[1314].end 8106.62909375
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 8107.65846875
transcript.pyannote[1315].end 8115.96096875
transcript.pyannote[1316].speaker SPEAKER_21
transcript.pyannote[1316].start 8115.96096875
transcript.pyannote[1316].end 8125.05659375
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 8116.04534375
transcript.pyannote[1317].end 8117.32784375
transcript.pyannote[1318].speaker SPEAKER_21
transcript.pyannote[1318].start 8125.30971875
transcript.pyannote[1318].end 8131.85721875
transcript.pyannote[1319].speaker SPEAKER_24
transcript.pyannote[1319].start 8126.35596875
transcript.pyannote[1319].end 8127.13221875
transcript.pyannote[1320].speaker SPEAKER_21
transcript.pyannote[1320].start 8132.63346875
transcript.pyannote[1320].end 8133.74721875
transcript.pyannote[1321].speaker SPEAKER_21
transcript.pyannote[1321].start 8134.23659375
transcript.pyannote[1321].end 8136.00846875
transcript.pyannote[1322].speaker SPEAKER_21
transcript.pyannote[1322].start 8136.71721875
transcript.pyannote[1322].end 8137.54409375
transcript.pyannote[1323].speaker SPEAKER_21
transcript.pyannote[1323].start 8138.06721875
transcript.pyannote[1323].end 8143.93971875
transcript.pyannote[1324].speaker SPEAKER_21
transcript.pyannote[1324].start 8144.66534375
transcript.pyannote[1324].end 8145.62721875
transcript.pyannote[1325].speaker SPEAKER_21
transcript.pyannote[1325].start 8146.15034375
transcript.pyannote[1325].end 8146.30221875
transcript.pyannote[1326].speaker SPEAKER_21
transcript.pyannote[1326].start 8146.79159375
transcript.pyannote[1326].end 8148.34409375
transcript.pyannote[1327].speaker SPEAKER_21
transcript.pyannote[1327].start 8148.83346875
transcript.pyannote[1327].end 8150.65596875
transcript.pyannote[1328].speaker SPEAKER_21
transcript.pyannote[1328].start 8151.29721875
transcript.pyannote[1328].end 8154.11534375
transcript.pyannote[1329].speaker SPEAKER_21
transcript.pyannote[1329].start 8154.36846875
transcript.pyannote[1329].end 8156.17409375
transcript.pyannote[1330].speaker SPEAKER_21
transcript.pyannote[1330].start 8156.32596875
transcript.pyannote[1330].end 8211.97971875
transcript.pyannote[1331].speaker SPEAKER_21
transcript.pyannote[1331].start 8212.80659375
transcript.pyannote[1331].end 8218.74659375
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 8218.74659375
transcript.pyannote[1332].end 8231.43659375
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 8232.29721875
transcript.pyannote[1333].end 8239.16534375
transcript.pyannote[1334].speaker SPEAKER_02
transcript.pyannote[1334].start 8239.46909375
transcript.pyannote[1334].end 8246.08409375
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 8246.84346875
transcript.pyannote[1335].end 8256.36096875
transcript.pyannote[1336].speaker SPEAKER_21
transcript.pyannote[1336].start 8256.36096875
transcript.pyannote[1336].end 8261.64284375
transcript.pyannote[1337].speaker SPEAKER_21
transcript.pyannote[1337].start 8262.03096875
transcript.pyannote[1337].end 8264.59596875
transcript.pyannote[1338].speaker SPEAKER_21
transcript.pyannote[1338].start 8265.59159375
transcript.pyannote[1338].end 8266.50284375
transcript.pyannote[1339].speaker SPEAKER_21
transcript.pyannote[1339].start 8267.29596875
transcript.pyannote[1339].end 8269.94534375
transcript.pyannote[1340].speaker SPEAKER_21
transcript.pyannote[1340].start 8270.33346875
transcript.pyannote[1340].end 8271.66659375
transcript.pyannote[1341].speaker SPEAKER_21
transcript.pyannote[1341].start 8272.30784375
transcript.pyannote[1341].end 8273.67471875
transcript.pyannote[1342].speaker SPEAKER_21
transcript.pyannote[1342].start 8273.97846875
transcript.pyannote[1342].end 8283.22596875
transcript.pyannote[1343].speaker SPEAKER_21
transcript.pyannote[1343].start 8283.66471875
transcript.pyannote[1343].end 8318.52846875
transcript.pyannote[1344].speaker SPEAKER_02
transcript.pyannote[1344].start 8293.78971875
transcript.pyannote[1344].end 8296.33784375
transcript.pyannote[1345].speaker SPEAKER_02
transcript.pyannote[1345].start 8296.94534375
transcript.pyannote[1345].end 8297.08034375
transcript.pyannote[1346].speaker SPEAKER_02
transcript.pyannote[1346].start 8297.21534375
transcript.pyannote[1346].end 8299.12221875
transcript.pyannote[1347].speaker SPEAKER_02
transcript.pyannote[1347].start 8318.52846875
transcript.pyannote[1347].end 8318.91659375
transcript.pyannote[1348].speaker SPEAKER_21
transcript.pyannote[1348].start 8318.91659375
transcript.pyannote[1348].end 8318.96721875
transcript.pyannote[1349].speaker SPEAKER_02
transcript.pyannote[1349].start 8318.96721875
transcript.pyannote[1349].end 8318.98409375
transcript.pyannote[1350].speaker SPEAKER_21
transcript.pyannote[1350].start 8318.98409375
transcript.pyannote[1350].end 8329.34534375
transcript.pyannote[1351].speaker SPEAKER_02
transcript.pyannote[1351].start 8319.25409375
transcript.pyannote[1351].end 8321.17784375
transcript.pyannote[1352].speaker SPEAKER_21
transcript.pyannote[1352].start 8330.07096875
transcript.pyannote[1352].end 8331.52221875
transcript.pyannote[1353].speaker SPEAKER_21
transcript.pyannote[1353].start 8332.28159375
transcript.pyannote[1353].end 8332.82159375
transcript.pyannote[1354].speaker SPEAKER_23
transcript.pyannote[1354].start 8337.95159375
transcript.pyannote[1354].end 8339.40284375
transcript.pyannote[1355].speaker SPEAKER_23
transcript.pyannote[1355].start 8696.42721875
transcript.pyannote[1355].end 8701.38846875
transcript.pyannote[1356].speaker SPEAKER_16
transcript.pyannote[1356].start 8714.77034375
transcript.pyannote[1356].end 8715.64784375
transcript.pyannote[1357].speaker SPEAKER_16
transcript.pyannote[1357].start 8715.83346875
transcript.pyannote[1357].end 8718.22971875
transcript.pyannote[1358].speaker SPEAKER_23
transcript.pyannote[1358].start 8718.36471875
transcript.pyannote[1358].end 8719.12409375
transcript.pyannote[1359].speaker SPEAKER_16
transcript.pyannote[1359].start 8725.82346875
transcript.pyannote[1359].end 8727.17346875
transcript.pyannote[1360].speaker SPEAKER_16
transcript.pyannote[1360].start 8729.60346875
transcript.pyannote[1360].end 8730.21096875
transcript.pyannote[1361].speaker SPEAKER_16
transcript.pyannote[1361].start 8730.75096875
transcript.pyannote[1361].end 8735.18909375
transcript.pyannote[1362].speaker SPEAKER_16
transcript.pyannote[1362].start 8736.03284375
transcript.pyannote[1362].end 8736.62346875
transcript.pyannote[1363].speaker SPEAKER_16
transcript.pyannote[1363].start 8737.11284375
transcript.pyannote[1363].end 8738.00721875
transcript.pyannote[1364].speaker SPEAKER_16
transcript.pyannote[1364].start 8738.96909375
transcript.pyannote[1364].end 8740.26846875
transcript.pyannote[1365].speaker SPEAKER_16
transcript.pyannote[1365].start 8741.14596875
transcript.pyannote[1365].end 8742.46221875
transcript.pyannote[1366].speaker SPEAKER_16
transcript.pyannote[1366].start 8742.85034375
transcript.pyannote[1366].end 8744.13284375
transcript.pyannote[1367].speaker SPEAKER_16
transcript.pyannote[1367].start 8745.36471875
transcript.pyannote[1367].end 8745.88784375
transcript.pyannote[1368].speaker SPEAKER_16
transcript.pyannote[1368].start 8746.37721875
transcript.pyannote[1368].end 8746.56284375
transcript.pyannote[1369].speaker SPEAKER_16
transcript.pyannote[1369].start 8747.37284375
transcript.pyannote[1369].end 8748.14909375
transcript.pyannote[1370].speaker SPEAKER_16
transcript.pyannote[1370].start 8748.52034375
transcript.pyannote[1370].end 8749.14471875
transcript.pyannote[1371].speaker SPEAKER_16
transcript.pyannote[1371].start 8750.73096875
transcript.pyannote[1371].end 8752.53659375
transcript.pyannote[1372].speaker SPEAKER_16
transcript.pyannote[1372].start 8753.88659375
transcript.pyannote[1372].end 8754.34221875
transcript.pyannote[1373].speaker SPEAKER_16
transcript.pyannote[1373].start 8754.64596875
transcript.pyannote[1373].end 8755.15221875
transcript.pyannote[1374].speaker SPEAKER_16
transcript.pyannote[1374].start 8755.30409375
transcript.pyannote[1374].end 8755.72596875
transcript.pyannote[1375].speaker SPEAKER_16
transcript.pyannote[1375].start 8756.55284375
transcript.pyannote[1375].end 8757.16034375
transcript.pyannote[1376].speaker SPEAKER_16
transcript.pyannote[1376].start 8757.80159375
transcript.pyannote[1376].end 8759.23596875
transcript.pyannote[1377].speaker SPEAKER_16
transcript.pyannote[1377].start 8759.97846875
transcript.pyannote[1377].end 8761.26096875
transcript.pyannote[1378].speaker SPEAKER_16
transcript.pyannote[1378].start 8762.45909375
transcript.pyannote[1378].end 8763.74159375
transcript.pyannote[1379].speaker SPEAKER_16
transcript.pyannote[1379].start 8764.82159375
transcript.pyannote[1379].end 8766.57659375
transcript.pyannote[1380].speaker SPEAKER_16
transcript.pyannote[1380].start 8767.15034375
transcript.pyannote[1380].end 8772.16221875
transcript.pyannote[1381].speaker SPEAKER_16
transcript.pyannote[1381].start 8772.78659375
transcript.pyannote[1381].end 8774.72721875
transcript.pyannote[1382].speaker SPEAKER_16
transcript.pyannote[1382].start 8775.33471875
transcript.pyannote[1382].end 8775.58784375
transcript.pyannote[1383].speaker SPEAKER_16
transcript.pyannote[1383].start 8776.09409375
transcript.pyannote[1383].end 8777.57909375
transcript.pyannote[1384].speaker SPEAKER_16
transcript.pyannote[1384].start 8778.65909375
transcript.pyannote[1384].end 8779.45221875
transcript.pyannote[1385].speaker SPEAKER_16
transcript.pyannote[1385].start 8780.22846875
transcript.pyannote[1385].end 8781.22409375
transcript.pyannote[1386].speaker SPEAKER_16
transcript.pyannote[1386].start 8782.11846875
transcript.pyannote[1386].end 8783.01284375
transcript.pyannote[1387].speaker SPEAKER_16
transcript.pyannote[1387].start 8784.10971875
transcript.pyannote[1387].end 8785.32471875
transcript.pyannote[1388].speaker SPEAKER_16
transcript.pyannote[1388].start 8786.55659375
transcript.pyannote[1388].end 8788.93596875
transcript.pyannote[1389].speaker SPEAKER_16
transcript.pyannote[1389].start 8789.79659375
transcript.pyannote[1389].end 8791.77096875
transcript.pyannote[1390].speaker SPEAKER_16
transcript.pyannote[1390].start 8792.07471875
transcript.pyannote[1390].end 8792.88471875
transcript.pyannote[1391].speaker SPEAKER_16
transcript.pyannote[1391].start 8793.74534375
transcript.pyannote[1391].end 8794.33596875
transcript.pyannote[1392].speaker SPEAKER_16
transcript.pyannote[1392].start 8796.07409375
transcript.pyannote[1392].end 8797.76159375
transcript.pyannote[1393].speaker SPEAKER_16
transcript.pyannote[1393].start 8798.55471875
transcript.pyannote[1393].end 8800.15784375
transcript.pyannote[1394].speaker SPEAKER_16
transcript.pyannote[1394].start 8801.37284375
transcript.pyannote[1394].end 8802.25034375
transcript.pyannote[1395].speaker SPEAKER_16
transcript.pyannote[1395].start 8803.00971875
transcript.pyannote[1395].end 8803.70159375
transcript.pyannote[1396].speaker SPEAKER_16
transcript.pyannote[1396].start 8804.39346875
transcript.pyannote[1396].end 8805.47346875
transcript.pyannote[1397].speaker SPEAKER_16
transcript.pyannote[1397].start 8806.55346875
transcript.pyannote[1397].end 8807.85284375
transcript.pyannote[1398].speaker SPEAKER_16
transcript.pyannote[1398].start 8809.55721875
transcript.pyannote[1398].end 8811.58221875
transcript.pyannote[1399].speaker SPEAKER_16
transcript.pyannote[1399].start 8813.30346875
transcript.pyannote[1399].end 8815.05846875
transcript.pyannote[1400].speaker SPEAKER_16
transcript.pyannote[1400].start 8815.32846875
transcript.pyannote[1400].end 8816.29034375
transcript.pyannote[1401].speaker SPEAKER_16
transcript.pyannote[1401].start 8817.45471875
transcript.pyannote[1401].end 8818.65284375
transcript.pyannote[1402].speaker SPEAKER_16
transcript.pyannote[1402].start 8819.24346875
transcript.pyannote[1402].end 8820.66096875
transcript.pyannote[1403].speaker SPEAKER_16
transcript.pyannote[1403].start 8821.11659375
transcript.pyannote[1403].end 8823.32721875
transcript.pyannote[1404].speaker SPEAKER_16
transcript.pyannote[1404].start 8824.13721875
transcript.pyannote[1404].end 8826.82034375
transcript.pyannote[1405].speaker SPEAKER_16
transcript.pyannote[1405].start 8827.47846875
transcript.pyannote[1405].end 8829.25034375
transcript.pyannote[1406].speaker SPEAKER_16
transcript.pyannote[1406].start 8830.70159375
transcript.pyannote[1406].end 8831.10659375
transcript.pyannote[1407].speaker SPEAKER_16
transcript.pyannote[1407].start 8831.52846875
transcript.pyannote[1407].end 8832.33846875
transcript.pyannote[1408].speaker SPEAKER_16
transcript.pyannote[1408].start 8832.92909375
transcript.pyannote[1408].end 8833.57034375
transcript.pyannote[1409].speaker SPEAKER_16
transcript.pyannote[1409].start 8835.66284375
transcript.pyannote[1409].end 8837.83971875
transcript.pyannote[1410].speaker SPEAKER_16
transcript.pyannote[1410].start 8839.72971875
transcript.pyannote[1410].end 8840.30346875
transcript.pyannote[1411].speaker SPEAKER_16
transcript.pyannote[1411].start 8841.04596875
transcript.pyannote[1411].end 8842.36221875
transcript.pyannote[1412].speaker SPEAKER_16
transcript.pyannote[1412].start 8843.10471875
transcript.pyannote[1412].end 8846.14221875
transcript.pyannote[1413].speaker SPEAKER_16
transcript.pyannote[1413].start 8846.73284375
transcript.pyannote[1413].end 8849.12909375
transcript.pyannote[1414].speaker SPEAKER_16
transcript.pyannote[1414].start 8850.24284375
transcript.pyannote[1414].end 8854.17471875
transcript.pyannote[1415].speaker SPEAKER_16
transcript.pyannote[1415].start 8855.37284375
transcript.pyannote[1415].end 8855.57534375
transcript.pyannote[1416].speaker SPEAKER_16
transcript.pyannote[1416].start 8856.46971875
transcript.pyannote[1416].end 8858.05596875
transcript.pyannote[1417].speaker SPEAKER_16
transcript.pyannote[1417].start 8858.30909375
transcript.pyannote[1417].end 8859.15284375
transcript.pyannote[1418].speaker SPEAKER_16
transcript.pyannote[1418].start 8860.04721875
transcript.pyannote[1418].end 8861.05971875
transcript.pyannote[1419].speaker SPEAKER_16
transcript.pyannote[1419].start 8861.76846875
transcript.pyannote[1419].end 8863.42221875
transcript.pyannote[1420].speaker SPEAKER_16
transcript.pyannote[1420].start 8863.50659375
transcript.pyannote[1420].end 8864.23221875
transcript.pyannote[1421].speaker SPEAKER_16
transcript.pyannote[1421].start 8865.02534375
transcript.pyannote[1421].end 8865.29534375
transcript.pyannote[1422].speaker SPEAKER_16
transcript.pyannote[1422].start 8865.83534375
transcript.pyannote[1422].end 8868.60284375
transcript.pyannote[1423].speaker SPEAKER_16
transcript.pyannote[1423].start 8869.41284375
transcript.pyannote[1423].end 8870.49284375
transcript.pyannote[1424].speaker SPEAKER_16
transcript.pyannote[1424].start 8871.23534375
transcript.pyannote[1424].end 8872.55159375
transcript.pyannote[1425].speaker SPEAKER_16
transcript.pyannote[1425].start 8873.96909375
transcript.pyannote[1425].end 8874.57659375
transcript.pyannote[1426].speaker SPEAKER_16
transcript.pyannote[1426].start 8874.96471875
transcript.pyannote[1426].end 8875.99409375
transcript.pyannote[1427].speaker SPEAKER_16
transcript.pyannote[1427].start 8877.41159375
transcript.pyannote[1427].end 8881.46159375
transcript.pyannote[1428].speaker SPEAKER_16
transcript.pyannote[1428].start 8881.76534375
transcript.pyannote[1428].end 8882.54159375
transcript.pyannote[1429].speaker SPEAKER_16
transcript.pyannote[1429].start 8885.64659375
transcript.pyannote[1429].end 8887.31721875
transcript.pyannote[1430].speaker SPEAKER_16
transcript.pyannote[1430].start 8888.81909375
transcript.pyannote[1430].end 8891.58659375
transcript.pyannote[1431].speaker SPEAKER_16
transcript.pyannote[1431].start 8892.02534375
transcript.pyannote[1431].end 8892.86909375
transcript.pyannote[1432].speaker SPEAKER_16
transcript.pyannote[1432].start 8893.81409375
transcript.pyannote[1432].end 8896.81784375
transcript.pyannote[1433].speaker SPEAKER_16
transcript.pyannote[1433].start 8897.42534375
transcript.pyannote[1433].end 8898.25221875
transcript.pyannote[1434].speaker SPEAKER_16
transcript.pyannote[1434].start 8899.31534375
transcript.pyannote[1434].end 8900.46284375
transcript.pyannote[1435].speaker SPEAKER_16
transcript.pyannote[1435].start 8901.84659375
transcript.pyannote[1435].end 8902.25159375
transcript.pyannote[1436].speaker SPEAKER_16
transcript.pyannote[1436].start 8904.79971875
transcript.pyannote[1436].end 8905.32284375
transcript.pyannote[1437].speaker SPEAKER_16
transcript.pyannote[1437].start 8905.59284375
transcript.pyannote[1437].end 8906.28471875
transcript.pyannote[1438].speaker SPEAKER_16
transcript.pyannote[1438].start 8908.10721875
transcript.pyannote[1438].end 8909.81159375
transcript.pyannote[1439].speaker SPEAKER_16
transcript.pyannote[1439].start 8910.46971875
transcript.pyannote[1439].end 8910.89159375
transcript.pyannote[1440].speaker SPEAKER_16
transcript.pyannote[1440].start 8911.66784375
transcript.pyannote[1440].end 8912.62971875
transcript.pyannote[1441].speaker SPEAKER_16
transcript.pyannote[1441].start 8912.91659375
transcript.pyannote[1441].end 8913.69284375
transcript.pyannote[1442].speaker SPEAKER_16
transcript.pyannote[1442].start 8914.01346875
transcript.pyannote[1442].end 8914.43534375
transcript.pyannote[1443].speaker SPEAKER_16
transcript.pyannote[1443].start 8914.99221875
transcript.pyannote[1443].end 8915.76846875
transcript.pyannote[1444].speaker SPEAKER_16
transcript.pyannote[1444].start 8916.74721875
transcript.pyannote[1444].end 8917.52346875
transcript.pyannote[1445].speaker SPEAKER_16
transcript.pyannote[1445].start 8918.35034375
transcript.pyannote[1445].end 8919.85221875
transcript.pyannote[1446].speaker SPEAKER_16
transcript.pyannote[1446].start 8920.93221875
transcript.pyannote[1446].end 8922.48471875
transcript.pyannote[1447].speaker SPEAKER_16
transcript.pyannote[1447].start 8922.77159375
transcript.pyannote[1447].end 8924.29034375
transcript.pyannote[1448].speaker SPEAKER_16
transcript.pyannote[1448].start 8927.05784375
transcript.pyannote[1448].end 8927.63159375
transcript.pyannote[1449].speaker SPEAKER_02
transcript.pyannote[1449].start 8928.59346875
transcript.pyannote[1449].end 8946.36284375
transcript.pyannote[1450].speaker SPEAKER_02
transcript.pyannote[1450].start 8946.58221875
transcript.pyannote[1450].end 8967.57471875
transcript.pyannote[1451].speaker SPEAKER_16
transcript.pyannote[1451].start 8969.11034375
transcript.pyannote[1451].end 8971.62471875
transcript.pyannote[1452].speaker SPEAKER_16
transcript.pyannote[1452].start 8972.19846875
transcript.pyannote[1452].end 8975.38784375
transcript.pyannote[1453].speaker SPEAKER_16
transcript.pyannote[1453].start 8976.36659375
transcript.pyannote[1453].end 8977.73346875
transcript.pyannote[1454].speaker SPEAKER_16
transcript.pyannote[1454].start 8978.79659375
transcript.pyannote[1454].end 8981.10846875
transcript.pyannote[1455].speaker SPEAKER_16
transcript.pyannote[1455].start 8982.93096875
transcript.pyannote[1455].end 8984.06159375
transcript.pyannote[1456].speaker SPEAKER_16
transcript.pyannote[1456].start 8984.77034375
transcript.pyannote[1456].end 8986.86284375
transcript.pyannote[1457].speaker SPEAKER_16
transcript.pyannote[1457].start 8988.26346875
transcript.pyannote[1457].end 8989.03971875
transcript.pyannote[1458].speaker SPEAKER_16
transcript.pyannote[1458].start 8989.76534375
transcript.pyannote[1458].end 8992.29659375
transcript.pyannote[1459].speaker SPEAKER_16
transcript.pyannote[1459].start 8993.17409375
transcript.pyannote[1459].end 8993.88284375
transcript.pyannote[1460].speaker SPEAKER_16
transcript.pyannote[1460].start 8994.69284375
transcript.pyannote[1460].end 8998.13534375
transcript.pyannote[1461].speaker SPEAKER_16
transcript.pyannote[1461].start 8998.91159375
transcript.pyannote[1461].end 8999.43471875
transcript.pyannote[1462].speaker SPEAKER_16
transcript.pyannote[1462].start 8999.53596875
transcript.pyannote[1462].end 9000.22784375
transcript.pyannote[1463].speaker SPEAKER_16
transcript.pyannote[1463].start 9000.59909375
transcript.pyannote[1463].end 9003.07971875
transcript.pyannote[1464].speaker SPEAKER_16
transcript.pyannote[1464].start 9003.48471875
transcript.pyannote[1464].end 9005.54346875
transcript.pyannote[1465].speaker SPEAKER_16
transcript.pyannote[1465].start 9006.11721875
transcript.pyannote[1465].end 9006.47159375
transcript.pyannote[1466].speaker SPEAKER_16
transcript.pyannote[1466].start 9006.69096875
transcript.pyannote[1466].end 9007.73721875
transcript.pyannote[1467].speaker SPEAKER_16
transcript.pyannote[1467].start 9008.53034375
transcript.pyannote[1467].end 9009.34034375
transcript.pyannote[1468].speaker SPEAKER_16
transcript.pyannote[1468].start 9009.79596875
transcript.pyannote[1468].end 9010.25159375
transcript.pyannote[1469].speaker SPEAKER_16
transcript.pyannote[1469].start 9010.97721875
transcript.pyannote[1469].end 9012.25971875
transcript.pyannote[1470].speaker SPEAKER_16
transcript.pyannote[1470].start 9012.79971875
transcript.pyannote[1470].end 9014.30159375
transcript.pyannote[1471].speaker SPEAKER_16
transcript.pyannote[1471].start 9015.29721875
transcript.pyannote[1471].end 9016.71471875
transcript.pyannote[1472].speaker SPEAKER_16
transcript.pyannote[1472].start 9017.25471875
transcript.pyannote[1472].end 9018.01409375
transcript.pyannote[1473].speaker SPEAKER_02
transcript.pyannote[1473].start 9018.30096875
transcript.pyannote[1473].end 9018.79034375
transcript.pyannote[1474].speaker SPEAKER_02
transcript.pyannote[1474].start 9019.06034375
transcript.pyannote[1474].end 9030.72096875
transcript.pyannote[1475].speaker SPEAKER_02
transcript.pyannote[1475].start 9031.07534375
transcript.pyannote[1475].end 9032.42534375
transcript.pyannote[1476].speaker SPEAKER_02
transcript.pyannote[1476].start 9032.66159375
transcript.pyannote[1476].end 9034.75409375
transcript.pyannote[1477].speaker SPEAKER_02
transcript.pyannote[1477].start 9034.97346875
transcript.pyannote[1477].end 9037.62284375
transcript.pyannote[1478].speaker SPEAKER_16
transcript.pyannote[1478].start 9038.53409375
transcript.pyannote[1478].end 9041.33534375
transcript.pyannote[1479].speaker SPEAKER_16
transcript.pyannote[1479].start 9042.26346875
transcript.pyannote[1479].end 9042.87096875
transcript.pyannote[1480].speaker SPEAKER_16
transcript.pyannote[1480].start 9043.57971875
transcript.pyannote[1480].end 9045.45284375
transcript.pyannote[1481].speaker SPEAKER_16
transcript.pyannote[1481].start 9046.43159375
transcript.pyannote[1481].end 9051.44346875
transcript.pyannote[1482].speaker SPEAKER_16
transcript.pyannote[1482].start 9052.01721875
transcript.pyannote[1482].end 9052.57409375
transcript.pyannote[1483].speaker SPEAKER_16
transcript.pyannote[1483].start 9053.21534375
transcript.pyannote[1483].end 9053.50221875
transcript.pyannote[1484].speaker SPEAKER_16
transcript.pyannote[1484].start 9053.75534375
transcript.pyannote[1484].end 9054.90284375
transcript.pyannote[1485].speaker SPEAKER_16
transcript.pyannote[1485].start 9055.99971875
transcript.pyannote[1485].end 9061.18034375
transcript.pyannote[1486].speaker SPEAKER_16
transcript.pyannote[1486].start 9062.17596875
transcript.pyannote[1486].end 9071.74409375
transcript.pyannote[1487].speaker SPEAKER_16
transcript.pyannote[1487].start 9072.45284375
transcript.pyannote[1487].end 9074.12346875
transcript.pyannote[1488].speaker SPEAKER_16
transcript.pyannote[1488].start 9074.30909375
transcript.pyannote[1488].end 9075.16971875
transcript.pyannote[1489].speaker SPEAKER_16
transcript.pyannote[1489].start 9076.13159375
transcript.pyannote[1489].end 9077.11034375
transcript.pyannote[1490].speaker SPEAKER_16
transcript.pyannote[1490].start 9077.26221875
transcript.pyannote[1490].end 9077.49846875
transcript.pyannote[1491].speaker SPEAKER_17
transcript.pyannote[1491].start 9077.49846875
transcript.pyannote[1491].end 9077.51534375
transcript.pyannote[1492].speaker SPEAKER_16
transcript.pyannote[1492].start 9077.97096875
transcript.pyannote[1492].end 9078.69659375
transcript.pyannote[1493].speaker SPEAKER_16
transcript.pyannote[1493].start 9079.03409375
transcript.pyannote[1493].end 9081.76784375
transcript.pyannote[1494].speaker SPEAKER_16
transcript.pyannote[1494].start 9082.52721875
transcript.pyannote[1494].end 9084.01221875
transcript.pyannote[1495].speaker SPEAKER_16
transcript.pyannote[1495].start 9084.56909375
transcript.pyannote[1495].end 9085.54784375
transcript.pyannote[1496].speaker SPEAKER_16
transcript.pyannote[1496].start 9086.17221875
transcript.pyannote[1496].end 9087.03284375
transcript.pyannote[1497].speaker SPEAKER_16
transcript.pyannote[1497].start 9087.67409375
transcript.pyannote[1497].end 9089.20971875
transcript.pyannote[1498].speaker SPEAKER_16
transcript.pyannote[1498].start 9089.98596875
transcript.pyannote[1498].end 9091.50471875
transcript.pyannote[1499].speaker SPEAKER_16
transcript.pyannote[1499].start 9092.21346875
transcript.pyannote[1499].end 9094.35659375
transcript.pyannote[1500].speaker SPEAKER_16
transcript.pyannote[1500].start 9094.72784375
transcript.pyannote[1500].end 9095.82471875
transcript.pyannote[1501].speaker SPEAKER_16
transcript.pyannote[1501].start 9096.70221875
transcript.pyannote[1501].end 9098.03534375
transcript.pyannote[1502].speaker SPEAKER_16
transcript.pyannote[1502].start 9098.20409375
transcript.pyannote[1502].end 9098.81159375
transcript.pyannote[1503].speaker SPEAKER_16
transcript.pyannote[1503].start 9099.60471875
transcript.pyannote[1503].end 9100.41471875
transcript.pyannote[1504].speaker SPEAKER_16
transcript.pyannote[1504].start 9101.76471875
transcript.pyannote[1504].end 9105.46034375
transcript.pyannote[1505].speaker SPEAKER_16
transcript.pyannote[1505].start 9105.61221875
transcript.pyannote[1505].end 9106.27034375
transcript.pyannote[1506].speaker SPEAKER_16
transcript.pyannote[1506].start 9107.08034375
transcript.pyannote[1506].end 9108.83534375
transcript.pyannote[1507].speaker SPEAKER_16
transcript.pyannote[1507].start 9109.42596875
transcript.pyannote[1507].end 9110.60721875
transcript.pyannote[1508].speaker SPEAKER_16
transcript.pyannote[1508].start 9111.28221875
transcript.pyannote[1508].end 9111.95721875
transcript.pyannote[1509].speaker SPEAKER_16
transcript.pyannote[1509].start 9112.48034375
transcript.pyannote[1509].end 9114.38721875
transcript.pyannote[1510].speaker SPEAKER_16
transcript.pyannote[1510].start 9115.29846875
transcript.pyannote[1510].end 9116.29409375
transcript.pyannote[1511].speaker SPEAKER_16
transcript.pyannote[1511].start 9116.93534375
transcript.pyannote[1511].end 9117.71159375
transcript.pyannote[1512].speaker SPEAKER_16
transcript.pyannote[1512].start 9118.16721875
transcript.pyannote[1512].end 9120.25971875
transcript.pyannote[1513].speaker SPEAKER_02
transcript.pyannote[1513].start 9120.47909375
transcript.pyannote[1513].end 9120.85034375
transcript.pyannote[1514].speaker SPEAKER_16
transcript.pyannote[1514].start 9122.38596875
transcript.pyannote[1514].end 9123.16221875
transcript.pyannote[1515].speaker SPEAKER_16
transcript.pyannote[1515].start 9125.06909375
transcript.pyannote[1515].end 9126.65534375
transcript.pyannote[1516].speaker SPEAKER_16
transcript.pyannote[1516].start 9127.04346875
transcript.pyannote[1516].end 9128.54534375
transcript.pyannote[1517].speaker SPEAKER_16
transcript.pyannote[1517].start 9129.28784375
transcript.pyannote[1517].end 9130.43534375
transcript.pyannote[1518].speaker SPEAKER_16
transcript.pyannote[1518].start 9131.12721875
transcript.pyannote[1518].end 9131.68409375
transcript.pyannote[1519].speaker SPEAKER_16
transcript.pyannote[1519].start 9132.13971875
transcript.pyannote[1519].end 9134.94096875
transcript.pyannote[1520].speaker SPEAKER_16
transcript.pyannote[1520].start 9135.36284375
transcript.pyannote[1520].end 9137.45534375
transcript.pyannote[1521].speaker SPEAKER_16
transcript.pyannote[1521].start 9138.53534375
transcript.pyannote[1521].end 9139.31159375
transcript.pyannote[1522].speaker SPEAKER_02
transcript.pyannote[1522].start 9139.37909375
transcript.pyannote[1522].end 9153.01409375
transcript.pyannote[1523].speaker SPEAKER_02
transcript.pyannote[1523].start 9153.60471875
transcript.pyannote[1523].end 9155.44409375
transcript.pyannote[1524].speaker SPEAKER_02
transcript.pyannote[1524].start 9155.86596875
transcript.pyannote[1524].end 9159.15659375
transcript.pyannote[1525].speaker SPEAKER_02
transcript.pyannote[1525].start 9159.46034375
transcript.pyannote[1525].end 9161.78909375
transcript.pyannote[1526].speaker SPEAKER_02
transcript.pyannote[1526].start 9161.82284375
transcript.pyannote[1526].end 9163.07159375
transcript.pyannote[1527].speaker SPEAKER_16
transcript.pyannote[1527].start 9161.87346875
transcript.pyannote[1527].end 9164.47221875
transcript.pyannote[1528].speaker SPEAKER_16
transcript.pyannote[1528].start 9165.68721875
transcript.pyannote[1528].end 9166.93596875
transcript.pyannote[1529].speaker SPEAKER_16
transcript.pyannote[1529].start 9167.71221875
transcript.pyannote[1529].end 9169.77096875
transcript.pyannote[1530].speaker SPEAKER_16
transcript.pyannote[1530].start 9170.88471875
transcript.pyannote[1530].end 9171.45846875
transcript.pyannote[1531].speaker SPEAKER_16
transcript.pyannote[1531].start 9171.55971875
transcript.pyannote[1531].end 9172.16721875
transcript.pyannote[1532].speaker SPEAKER_16
transcript.pyannote[1532].start 9172.67346875
transcript.pyannote[1532].end 9174.07409375
transcript.pyannote[1533].speaker SPEAKER_16
transcript.pyannote[1533].start 9175.01909375
transcript.pyannote[1533].end 9176.04846875
transcript.pyannote[1534].speaker SPEAKER_16
transcript.pyannote[1534].start 9176.58846875
transcript.pyannote[1534].end 9176.68971875
transcript.pyannote[1535].speaker SPEAKER_16
transcript.pyannote[1535].start 9177.97221875
transcript.pyannote[1535].end 9179.44034375
transcript.pyannote[1536].speaker SPEAKER_16
transcript.pyannote[1536].start 9180.04784375
transcript.pyannote[1536].end 9181.21221875
transcript.pyannote[1537].speaker SPEAKER_16
transcript.pyannote[1537].start 9182.39346875
transcript.pyannote[1537].end 9182.69721875
transcript.pyannote[1538].speaker SPEAKER_16
transcript.pyannote[1538].start 9183.55784375
transcript.pyannote[1538].end 9184.40159375
transcript.pyannote[1539].speaker SPEAKER_16
transcript.pyannote[1539].start 9186.13971875
transcript.pyannote[1539].end 9187.33784375
transcript.pyannote[1540].speaker SPEAKER_16
transcript.pyannote[1540].start 9188.67096875
transcript.pyannote[1540].end 9188.99159375
transcript.pyannote[1541].speaker SPEAKER_02
transcript.pyannote[1541].start 9190.42596875
transcript.pyannote[1541].end 9208.44846875
transcript.pyannote[1542].speaker SPEAKER_02
transcript.pyannote[1542].start 9208.66784375
transcript.pyannote[1542].end 9214.79346875
transcript.pyannote[1543].speaker SPEAKER_16
transcript.pyannote[1543].start 9216.10971875
transcript.pyannote[1543].end 9218.84346875
transcript.pyannote[1544].speaker SPEAKER_16
transcript.pyannote[1544].start 9219.28221875
transcript.pyannote[1544].end 9221.34096875
transcript.pyannote[1545].speaker SPEAKER_16
transcript.pyannote[1545].start 9224.07471875
transcript.pyannote[1545].end 9232.39409375
transcript.pyannote[1546].speaker SPEAKER_02
transcript.pyannote[1546].start 9230.84159375
transcript.pyannote[1546].end 9237.91221875
transcript.pyannote[1547].speaker SPEAKER_02
transcript.pyannote[1547].start 9238.65471875
transcript.pyannote[1547].end 9239.83596875
transcript.pyannote[1548].speaker SPEAKER_02
transcript.pyannote[1548].start 9240.25784375
transcript.pyannote[1548].end 9242.55284375
transcript.pyannote[1549].speaker SPEAKER_02
transcript.pyannote[1549].start 9242.94096875
transcript.pyannote[1549].end 9245.50596875
transcript.pyannote[1550].speaker SPEAKER_16
transcript.pyannote[1550].start 9246.28221875
transcript.pyannote[1550].end 9249.42096875
transcript.pyannote[1551].speaker SPEAKER_02
transcript.pyannote[1551].start 9248.81346875
transcript.pyannote[1551].end 9249.21846875
transcript.pyannote[1552].speaker SPEAKER_02
transcript.pyannote[1552].start 9249.28596875
transcript.pyannote[1552].end 9261.13221875
transcript.pyannote[1553].speaker SPEAKER_16
transcript.pyannote[1553].start 9259.90034375
transcript.pyannote[1553].end 9261.35159375
transcript.pyannote[1554].speaker SPEAKER_02
transcript.pyannote[1554].start 9262.06034375
transcript.pyannote[1554].end 9264.81096875
transcript.pyannote[1555].speaker SPEAKER_16
transcript.pyannote[1555].start 9263.35971875
transcript.pyannote[1555].end 9269.53596875
transcript.pyannote[1556].speaker SPEAKER_02
transcript.pyannote[1556].start 9269.53596875
transcript.pyannote[1556].end 9273.58596875
transcript.pyannote[1557].speaker SPEAKER_16
transcript.pyannote[1557].start 9272.89409375
transcript.pyannote[1557].end 9273.23159375
transcript.pyannote[1558].speaker SPEAKER_16
transcript.pyannote[1558].start 9273.94034375
transcript.pyannote[1558].end 9277.95659375
transcript.pyannote[1559].speaker SPEAKER_16
transcript.pyannote[1559].start 9278.49659375
transcript.pyannote[1559].end 9279.03659375
transcript.pyannote[1560].speaker SPEAKER_16
transcript.pyannote[1560].start 9279.07034375
transcript.pyannote[1560].end 9280.43721875
transcript.pyannote[1561].speaker SPEAKER_16
transcript.pyannote[1561].start 9281.24721875
transcript.pyannote[1561].end 9284.77409375
transcript.pyannote[1562].speaker SPEAKER_16
transcript.pyannote[1562].start 9285.44909375
transcript.pyannote[1562].end 9286.29284375
transcript.pyannote[1563].speaker SPEAKER_02
transcript.pyannote[1563].start 9286.64721875
transcript.pyannote[1563].end 9289.22909375
transcript.pyannote[1564].speaker SPEAKER_16
transcript.pyannote[1564].start 9289.22909375
transcript.pyannote[1564].end 9290.03909375
transcript.pyannote[1565].speaker SPEAKER_02
transcript.pyannote[1565].start 9289.31346875
transcript.pyannote[1565].end 9289.80284375
transcript.pyannote[1566].speaker SPEAKER_02
transcript.pyannote[1566].start 9290.03909375
transcript.pyannote[1566].end 9290.35971875
transcript.pyannote[1567].speaker SPEAKER_16
transcript.pyannote[1567].start 9290.27534375
transcript.pyannote[1567].end 9291.76034375
transcript.pyannote[1568].speaker SPEAKER_02
transcript.pyannote[1568].start 9292.30034375
transcript.pyannote[1568].end 9292.94159375
transcript.pyannote[1569].speaker SPEAKER_16
transcript.pyannote[1569].start 9292.75596875
transcript.pyannote[1569].end 9293.95409375
transcript.pyannote[1570].speaker SPEAKER_23
transcript.pyannote[1570].start 9304.75409375
transcript.pyannote[1570].end 9305.93534375
transcript.pyannote[1571].speaker SPEAKER_23
transcript.pyannote[1571].start 9306.35721875
transcript.pyannote[1571].end 9306.84659375
transcript.pyannote[1572].speaker SPEAKER_23
transcript.pyannote[1572].start 9307.53846875
transcript.pyannote[1572].end 9308.06159375
transcript.pyannote[1573].speaker SPEAKER_23
transcript.pyannote[1573].start 9309.44534375
transcript.pyannote[1573].end 9309.71534375
transcript.pyannote[1574].speaker SPEAKER_23
transcript.pyannote[1574].start 9310.57596875
transcript.pyannote[1574].end 9311.70659375
transcript.pyannote[1575].speaker SPEAKER_01
transcript.pyannote[1575].start 9311.97659375
transcript.pyannote[1575].end 9312.33096875
transcript.pyannote[1576].speaker SPEAKER_23
transcript.pyannote[1576].start 9312.58409375
transcript.pyannote[1576].end 9312.71909375
transcript.pyannote[1577].speaker SPEAKER_01
transcript.pyannote[1577].start 9312.71909375
transcript.pyannote[1577].end 9312.78659375
transcript.pyannote[1578].speaker SPEAKER_23
transcript.pyannote[1578].start 9312.78659375
transcript.pyannote[1578].end 9313.15784375
transcript.pyannote[1579].speaker SPEAKER_01
transcript.pyannote[1579].start 9316.85346875
transcript.pyannote[1579].end 9317.03909375
transcript.pyannote[1580].speaker SPEAKER_13
transcript.pyannote[1580].start 9335.12909375
transcript.pyannote[1580].end 9337.42409375
transcript.pyannote[1581].speaker SPEAKER_13
transcript.pyannote[1581].start 9338.18346875
transcript.pyannote[1581].end 9338.72346875
transcript.pyannote[1582].speaker SPEAKER_13
transcript.pyannote[1582].start 9339.14534375
transcript.pyannote[1582].end 9339.87096875
transcript.pyannote[1583].speaker SPEAKER_11
transcript.pyannote[1583].start 9346.21596875
transcript.pyannote[1583].end 9346.45221875
transcript.pyannote[1584].speaker SPEAKER_11
transcript.pyannote[1584].start 9346.72221875
transcript.pyannote[1584].end 9347.11034375
transcript.pyannote[1585].speaker SPEAKER_11
transcript.pyannote[1585].start 9347.59971875
transcript.pyannote[1585].end 9350.40096875
transcript.pyannote[1586].speaker SPEAKER_11
transcript.pyannote[1586].start 9351.24471875
transcript.pyannote[1586].end 9355.64909375
transcript.pyannote[1587].speaker SPEAKER_11
transcript.pyannote[1587].start 9355.96971875
transcript.pyannote[1587].end 9358.43346875
transcript.pyannote[1588].speaker SPEAKER_02
transcript.pyannote[1588].start 9359.66534375
transcript.pyannote[1588].end 9366.70221875
transcript.pyannote[1589].speaker SPEAKER_11
transcript.pyannote[1589].start 9365.20034375
transcript.pyannote[1589].end 9367.47846875
transcript.pyannote[1590].speaker SPEAKER_02
transcript.pyannote[1590].start 9367.79909375
transcript.pyannote[1590].end 9369.87471875
transcript.pyannote[1591].speaker SPEAKER_11
transcript.pyannote[1591].start 9368.62596875
transcript.pyannote[1591].end 9369.85784375
transcript.pyannote[1592].speaker SPEAKER_11
transcript.pyannote[1592].start 9369.87471875
transcript.pyannote[1592].end 9372.03471875
transcript.pyannote[1593].speaker SPEAKER_02
transcript.pyannote[1593].start 9372.77721875
transcript.pyannote[1593].end 9381.85596875
transcript.pyannote[1594].speaker SPEAKER_11
transcript.pyannote[1594].start 9382.31159375
transcript.pyannote[1594].end 9385.48409375
transcript.pyannote[1595].speaker SPEAKER_11
transcript.pyannote[1595].start 9385.87221875
transcript.pyannote[1595].end 9388.04909375
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 9388.53846875
transcript.pyannote[1596].end 9392.65596875
transcript.pyannote[1597].speaker SPEAKER_02
transcript.pyannote[1597].start 9392.89221875
transcript.pyannote[1597].end 9393.66846875
transcript.pyannote[1598].speaker SPEAKER_02
transcript.pyannote[1598].start 9393.95534375
transcript.pyannote[1598].end 9395.94659375
transcript.pyannote[1599].speaker SPEAKER_02
transcript.pyannote[1599].start 9396.75659375
transcript.pyannote[1599].end 9397.75221875
transcript.pyannote[1600].speaker SPEAKER_11
transcript.pyannote[1600].start 9397.75221875
transcript.pyannote[1600].end 9397.80284375
transcript.pyannote[1601].speaker SPEAKER_02
transcript.pyannote[1601].start 9398.07284375
transcript.pyannote[1601].end 9402.39284375
transcript.pyannote[1602].speaker SPEAKER_11
transcript.pyannote[1602].start 9403.20284375
transcript.pyannote[1602].end 9405.88596875
transcript.pyannote[1603].speaker SPEAKER_02
transcript.pyannote[1603].start 9405.07596875
transcript.pyannote[1603].end 9408.55221875
transcript.pyannote[1604].speaker SPEAKER_02
transcript.pyannote[1604].start 9408.85596875
transcript.pyannote[1604].end 9417.98534375
transcript.pyannote[1605].speaker SPEAKER_02
transcript.pyannote[1605].start 9418.12034375
transcript.pyannote[1605].end 9424.95471875
transcript.pyannote[1606].speaker SPEAKER_11
transcript.pyannote[1606].start 9423.11534375
transcript.pyannote[1606].end 9426.10221875
transcript.pyannote[1607].speaker SPEAKER_11
transcript.pyannote[1607].start 9426.35534375
transcript.pyannote[1607].end 9427.89096875
transcript.pyannote[1608].speaker SPEAKER_11
transcript.pyannote[1608].start 9428.65034375
transcript.pyannote[1608].end 9429.66284375
transcript.pyannote[1609].speaker SPEAKER_11
transcript.pyannote[1609].start 9430.67534375
transcript.pyannote[1609].end 9432.00846875
transcript.pyannote[1610].speaker SPEAKER_02
transcript.pyannote[1610].start 9432.86909375
transcript.pyannote[1610].end 9435.16409375
transcript.pyannote[1611].speaker SPEAKER_11
transcript.pyannote[1611].start 9435.55221875
transcript.pyannote[1611].end 9438.97784375
transcript.pyannote[1612].speaker SPEAKER_02
transcript.pyannote[1612].start 9435.88971875
transcript.pyannote[1612].end 9436.10909375
transcript.pyannote[1613].speaker SPEAKER_02
transcript.pyannote[1613].start 9436.48034375
transcript.pyannote[1613].end 9437.44221875
transcript.pyannote[1614].speaker SPEAKER_11
transcript.pyannote[1614].start 9439.56846875
transcript.pyannote[1614].end 9441.20534375
transcript.pyannote[1615].speaker SPEAKER_11
transcript.pyannote[1615].start 9441.71159375
transcript.pyannote[1615].end 9443.83784375
transcript.pyannote[1616].speaker SPEAKER_11
transcript.pyannote[1616].start 9444.49596875
transcript.pyannote[1616].end 9445.94721875
transcript.pyannote[1617].speaker SPEAKER_11
transcript.pyannote[1617].start 9447.02721875
transcript.pyannote[1617].end 9456.46034375
transcript.pyannote[1618].speaker SPEAKER_11
transcript.pyannote[1618].start 9457.23659375
transcript.pyannote[1618].end 9457.40534375
transcript.pyannote[1619].speaker SPEAKER_02
transcript.pyannote[1619].start 9457.57409375
transcript.pyannote[1619].end 9464.10471875
transcript.pyannote[1620].speaker SPEAKER_11
transcript.pyannote[1620].start 9462.95721875
transcript.pyannote[1620].end 9466.28159375
transcript.pyannote[1621].speaker SPEAKER_11
transcript.pyannote[1621].start 9468.72846875
transcript.pyannote[1621].end 9475.39409375
transcript.pyannote[1622].speaker SPEAKER_02
transcript.pyannote[1622].start 9471.07409375
transcript.pyannote[1622].end 9471.68159375
transcript.pyannote[1623].speaker SPEAKER_02
transcript.pyannote[1623].start 9473.23409375
transcript.pyannote[1623].end 9476.30534375
transcript.pyannote[1624].speaker SPEAKER_02
transcript.pyannote[1624].start 9476.72721875
transcript.pyannote[1624].end 9478.43159375
transcript.pyannote[1625].speaker SPEAKER_11
transcript.pyannote[1625].start 9477.03096875
transcript.pyannote[1625].end 9480.69284375
transcript.pyannote[1626].speaker SPEAKER_02
transcript.pyannote[1626].start 9480.40596875
transcript.pyannote[1626].end 9483.42659375
transcript.pyannote[1627].speaker SPEAKER_11
transcript.pyannote[1627].start 9483.39284375
transcript.pyannote[1627].end 9483.40971875
transcript.pyannote[1628].speaker SPEAKER_11
transcript.pyannote[1628].start 9483.42659375
transcript.pyannote[1628].end 9484.87784375
transcript.pyannote[1629].speaker SPEAKER_11
transcript.pyannote[1629].start 9487.99971875
transcript.pyannote[1629].end 9489.36659375
transcript.pyannote[1630].speaker SPEAKER_11
transcript.pyannote[1630].start 9491.61096875
transcript.pyannote[1630].end 9492.33659375
transcript.pyannote[1631].speaker SPEAKER_11
transcript.pyannote[1631].start 9493.65284375
transcript.pyannote[1631].end 9494.22659375
transcript.pyannote[1632].speaker SPEAKER_11
transcript.pyannote[1632].start 9494.46284375
transcript.pyannote[1632].end 9497.06159375
transcript.pyannote[1633].speaker SPEAKER_02
transcript.pyannote[1633].start 9499.35659375
transcript.pyannote[1633].end 9506.93346875
transcript.pyannote[1634].speaker SPEAKER_11
transcript.pyannote[1634].start 9506.62971875
transcript.pyannote[1634].end 9510.61221875
transcript.pyannote[1635].speaker SPEAKER_02
transcript.pyannote[1635].start 9508.53659375
transcript.pyannote[1635].end 9511.21971875
transcript.pyannote[1636].speaker SPEAKER_02
transcript.pyannote[1636].start 9511.65846875
transcript.pyannote[1636].end 9517.96971875
transcript.pyannote[1637].speaker SPEAKER_11
transcript.pyannote[1637].start 9515.50596875
transcript.pyannote[1637].end 9516.92346875
transcript.pyannote[1638].speaker SPEAKER_11
transcript.pyannote[1638].start 9517.24409375
transcript.pyannote[1638].end 9519.10034375
transcript.pyannote[1639].speaker SPEAKER_11
transcript.pyannote[1639].start 9520.26471875
transcript.pyannote[1639].end 9521.37846875
transcript.pyannote[1640].speaker SPEAKER_11
transcript.pyannote[1640].start 9521.80034375
transcript.pyannote[1640].end 9523.55534375
transcript.pyannote[1641].speaker SPEAKER_11
transcript.pyannote[1641].start 9523.67346875
transcript.pyannote[1641].end 9523.70721875
transcript.pyannote[1642].speaker SPEAKER_02
transcript.pyannote[1642].start 9523.70721875
transcript.pyannote[1642].end 9524.09534375
transcript.pyannote[1643].speaker SPEAKER_02
transcript.pyannote[1643].start 9524.34846875
transcript.pyannote[1643].end 9524.92221875
transcript.pyannote[1644].speaker SPEAKER_11
transcript.pyannote[1644].start 9524.92221875
transcript.pyannote[1644].end 9526.17096875
transcript.pyannote[1645].speaker SPEAKER_02
transcript.pyannote[1645].start 9524.95596875
transcript.pyannote[1645].end 9525.19221875
transcript.pyannote[1646].speaker SPEAKER_02
transcript.pyannote[1646].start 9527.84159375
transcript.pyannote[1646].end 9537.81471875
transcript.pyannote[1647].speaker SPEAKER_11
transcript.pyannote[1647].start 9533.96721875
transcript.pyannote[1647].end 9541.25721875
transcript.pyannote[1648].speaker SPEAKER_02
transcript.pyannote[1648].start 9540.37971875
transcript.pyannote[1648].end 9550.04909375
transcript.pyannote[1649].speaker SPEAKER_11
transcript.pyannote[1649].start 9549.03659375
transcript.pyannote[1649].end 9551.77034375
transcript.pyannote[1650].speaker SPEAKER_11
transcript.pyannote[1650].start 9551.93909375
transcript.pyannote[1650].end 9552.05721875
transcript.pyannote[1651].speaker SPEAKER_02
transcript.pyannote[1651].start 9552.05721875
transcript.pyannote[1651].end 9557.03534375
transcript.pyannote[1652].speaker SPEAKER_11
transcript.pyannote[1652].start 9552.42846875
transcript.pyannote[1652].end 9554.95971875
transcript.pyannote[1653].speaker SPEAKER_11
transcript.pyannote[1653].start 9556.15784375
transcript.pyannote[1653].end 9560.17409375
transcript.pyannote[1654].speaker SPEAKER_11
transcript.pyannote[1654].start 9560.62971875
transcript.pyannote[1654].end 9563.09346875
transcript.pyannote[1655].speaker SPEAKER_02
transcript.pyannote[1655].start 9560.95034375
transcript.pyannote[1655].end 9561.47346875
transcript.pyannote[1656].speaker SPEAKER_11
transcript.pyannote[1656].start 9563.51534375
transcript.pyannote[1656].end 9568.08846875
transcript.pyannote[1657].speaker SPEAKER_02
transcript.pyannote[1657].start 9567.48096875
transcript.pyannote[1657].end 9576.12096875
transcript.pyannote[1658].speaker SPEAKER_11
transcript.pyannote[1658].start 9568.32471875
transcript.pyannote[1658].end 9568.61159375
transcript.pyannote[1659].speaker SPEAKER_11
transcript.pyannote[1659].start 9575.05784375
transcript.pyannote[1659].end 9583.52909375
transcript.pyannote[1660].speaker SPEAKER_11
transcript.pyannote[1660].start 9583.69784375
transcript.pyannote[1660].end 9585.40221875
transcript.pyannote[1661].speaker SPEAKER_02
transcript.pyannote[1661].start 9586.00971875
transcript.pyannote[1661].end 9589.11471875
transcript.pyannote[1662].speaker SPEAKER_11
transcript.pyannote[1662].start 9587.95034375
transcript.pyannote[1662].end 9595.18971875
transcript.pyannote[1663].speaker SPEAKER_02
transcript.pyannote[1663].start 9595.69596875
transcript.pyannote[1663].end 9598.96971875
transcript.pyannote[1664].speaker SPEAKER_11
transcript.pyannote[1664].start 9597.50159375
transcript.pyannote[1664].end 9605.36534375
transcript.pyannote[1665].speaker SPEAKER_11
transcript.pyannote[1665].start 9606.12471875
transcript.pyannote[1665].end 9606.95159375
transcript.pyannote[1666].speaker SPEAKER_11
transcript.pyannote[1666].start 9607.71096875
transcript.pyannote[1666].end 9611.55846875
transcript.pyannote[1667].speaker SPEAKER_11
transcript.pyannote[1667].start 9611.79471875
transcript.pyannote[1667].end 9612.72284375
transcript.pyannote[1668].speaker SPEAKER_11
transcript.pyannote[1668].start 9613.70159375
transcript.pyannote[1668].end 9617.75159375
transcript.pyannote[1669].speaker SPEAKER_11
transcript.pyannote[1669].start 9618.67971875
transcript.pyannote[1669].end 9621.12659375
transcript.pyannote[1670].speaker SPEAKER_11
transcript.pyannote[1670].start 9622.13909375
transcript.pyannote[1670].end 9625.21034375
transcript.pyannote[1671].speaker SPEAKER_11
transcript.pyannote[1671].start 9625.86846875
transcript.pyannote[1671].end 9626.66159375
transcript.pyannote[1672].speaker SPEAKER_02
transcript.pyannote[1672].start 9627.99471875
transcript.pyannote[1672].end 9630.74534375
transcript.pyannote[1673].speaker SPEAKER_11
transcript.pyannote[1673].start 9630.28971875
transcript.pyannote[1673].end 9632.93909375
transcript.pyannote[1674].speaker SPEAKER_02
transcript.pyannote[1674].start 9632.90534375
transcript.pyannote[1674].end 9634.45784375
transcript.pyannote[1675].speaker SPEAKER_11
transcript.pyannote[1675].start 9633.64784375
transcript.pyannote[1675].end 9637.96784375
transcript.pyannote[1676].speaker SPEAKER_02
transcript.pyannote[1676].start 9636.90471875
transcript.pyannote[1676].end 9644.11034375
transcript.pyannote[1677].speaker SPEAKER_11
transcript.pyannote[1677].start 9643.92471875
transcript.pyannote[1677].end 9653.93159375
transcript.pyannote[1678].speaker SPEAKER_02
transcript.pyannote[1678].start 9653.93159375
transcript.pyannote[1678].end 9654.97784375
transcript.pyannote[1679].speaker SPEAKER_11
transcript.pyannote[1679].start 9655.23096875
transcript.pyannote[1679].end 9657.57659375
transcript.pyannote[1680].speaker SPEAKER_11
transcript.pyannote[1680].start 9657.67784375
transcript.pyannote[1680].end 9658.30221875
transcript.pyannote[1681].speaker SPEAKER_11
transcript.pyannote[1681].start 9658.70721875
transcript.pyannote[1681].end 9660.10784375
transcript.pyannote[1682].speaker SPEAKER_11
transcript.pyannote[1682].start 9660.22596875
transcript.pyannote[1682].end 9663.33096875
transcript.pyannote[1683].speaker SPEAKER_11
transcript.pyannote[1683].start 9664.83284375
transcript.pyannote[1683].end 9666.04784375
transcript.pyannote[1684].speaker SPEAKER_02
transcript.pyannote[1684].start 9665.38971875
transcript.pyannote[1684].end 9665.65971875
transcript.pyannote[1685].speaker SPEAKER_02
transcript.pyannote[1685].start 9666.21659375
transcript.pyannote[1685].end 9666.85784375
transcript.pyannote[1686].speaker SPEAKER_11
transcript.pyannote[1686].start 9666.79034375
transcript.pyannote[1686].end 9670.13159375
transcript.pyannote[1687].speaker SPEAKER_11
transcript.pyannote[1687].start 9670.68846875
transcript.pyannote[1687].end 9671.53221875
transcript.pyannote[1688].speaker SPEAKER_11
transcript.pyannote[1688].start 9671.70096875
transcript.pyannote[1688].end 9673.10159375
transcript.pyannote[1689].speaker SPEAKER_11
transcript.pyannote[1689].start 9674.02971875
transcript.pyannote[1689].end 9675.93659375
transcript.pyannote[1690].speaker SPEAKER_11
transcript.pyannote[1690].start 9676.83096875
transcript.pyannote[1690].end 9677.60721875
transcript.pyannote[1691].speaker SPEAKER_11
transcript.pyannote[1691].start 9678.04596875
transcript.pyannote[1691].end 9681.10034375
transcript.pyannote[1692].speaker SPEAKER_02
transcript.pyannote[1692].start 9680.83034375
transcript.pyannote[1692].end 9685.23471875
transcript.pyannote[1693].speaker SPEAKER_11
transcript.pyannote[1693].start 9684.50909375
transcript.pyannote[1693].end 9688.40721875
transcript.pyannote[1694].speaker SPEAKER_11
transcript.pyannote[1694].start 9688.87971875
transcript.pyannote[1694].end 9691.64721875
transcript.pyannote[1695].speaker SPEAKER_11
transcript.pyannote[1695].start 9691.96784375
transcript.pyannote[1695].end 9693.84096875
transcript.pyannote[1696].speaker SPEAKER_02
transcript.pyannote[1696].start 9694.14471875
transcript.pyannote[1696].end 9694.51596875
transcript.pyannote[1697].speaker SPEAKER_02
transcript.pyannote[1697].start 9695.03909375
transcript.pyannote[1697].end 9702.22784375
transcript.pyannote[1698].speaker SPEAKER_11
transcript.pyannote[1698].start 9695.32596875
transcript.pyannote[1698].end 9696.74346875
transcript.pyannote[1699].speaker SPEAKER_11
transcript.pyannote[1699].start 9700.94534375
transcript.pyannote[1699].end 9705.43409375
transcript.pyannote[1700].speaker SPEAKER_02
transcript.pyannote[1700].start 9706.59846875
transcript.pyannote[1700].end 9708.85971875
transcript.pyannote[1701].speaker SPEAKER_02
transcript.pyannote[1701].start 9709.83846875
transcript.pyannote[1701].end 9715.05284375
transcript.pyannote[1702].speaker SPEAKER_11
transcript.pyannote[1702].start 9711.99846875
transcript.pyannote[1702].end 9714.32721875
transcript.pyannote[1703].speaker SPEAKER_11
transcript.pyannote[1703].start 9714.69846875
transcript.pyannote[1703].end 9715.27221875
transcript.pyannote[1704].speaker SPEAKER_11
transcript.pyannote[1704].start 9715.50846875
transcript.pyannote[1704].end 9717.83721875
transcript.pyannote[1705].speaker SPEAKER_11
transcript.pyannote[1705].start 9718.22534375
transcript.pyannote[1705].end 9719.67659375
transcript.pyannote[1706].speaker SPEAKER_11
transcript.pyannote[1706].start 9720.38534375
transcript.pyannote[1706].end 9721.12784375
transcript.pyannote[1707].speaker SPEAKER_11
transcript.pyannote[1707].start 9722.49471875
transcript.pyannote[1707].end 9726.81471875
transcript.pyannote[1708].speaker SPEAKER_17
transcript.pyannote[1708].start 9726.81471875
transcript.pyannote[1708].end 9727.18596875
transcript.pyannote[1709].speaker SPEAKER_11
transcript.pyannote[1709].start 9727.18596875
transcript.pyannote[1709].end 9729.24471875
transcript.pyannote[1710].speaker SPEAKER_11
transcript.pyannote[1710].start 9729.59909375
transcript.pyannote[1710].end 9731.91096875
transcript.pyannote[1711].speaker SPEAKER_11
transcript.pyannote[1711].start 9732.09659375
transcript.pyannote[1711].end 9735.08346875
transcript.pyannote[1712].speaker SPEAKER_11
transcript.pyannote[1712].start 9735.26909375
transcript.pyannote[1712].end 9736.18034375
transcript.pyannote[1713].speaker SPEAKER_11
transcript.pyannote[1713].start 9736.80471875
transcript.pyannote[1713].end 9737.14221875
transcript.pyannote[1714].speaker SPEAKER_11
transcript.pyannote[1714].start 9738.44159375
transcript.pyannote[1714].end 9739.69034375
transcript.pyannote[1715].speaker SPEAKER_11
transcript.pyannote[1715].start 9741.07409375
transcript.pyannote[1715].end 9742.76159375
transcript.pyannote[1716].speaker SPEAKER_02
transcript.pyannote[1716].start 9743.53784375
transcript.pyannote[1716].end 9753.12284375
transcript.pyannote[1717].speaker SPEAKER_11
transcript.pyannote[1717].start 9751.92471875
transcript.pyannote[1717].end 9755.53596875
transcript.pyannote[1718].speaker SPEAKER_11
transcript.pyannote[1718].start 9757.42596875
transcript.pyannote[1718].end 9758.84346875
transcript.pyannote[1719].speaker SPEAKER_11
transcript.pyannote[1719].start 9759.75471875
transcript.pyannote[1719].end 9761.23971875
transcript.pyannote[1720].speaker SPEAKER_02
transcript.pyannote[1720].start 9764.76659375
transcript.pyannote[1720].end 9765.10409375
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 9765.67784375
transcript.pyannote[1721].end 9778.57034375
transcript.pyannote[1722].speaker SPEAKER_11
transcript.pyannote[1722].start 9776.42721875
transcript.pyannote[1722].end 9783.32909375
transcript.pyannote[1723].speaker SPEAKER_02
transcript.pyannote[1723].start 9783.43034375
transcript.pyannote[1723].end 9783.91971875
transcript.pyannote[1724].speaker SPEAKER_11
transcript.pyannote[1724].start 9783.85221875
transcript.pyannote[1724].end 9787.69971875
transcript.pyannote[1725].speaker SPEAKER_11
transcript.pyannote[1725].start 9788.30721875
transcript.pyannote[1725].end 9790.11284375
transcript.pyannote[1726].speaker SPEAKER_11
transcript.pyannote[1726].start 9790.61909375
transcript.pyannote[1726].end 9794.23034375
transcript.pyannote[1727].speaker SPEAKER_11
transcript.pyannote[1727].start 9794.95596875
transcript.pyannote[1727].end 9795.20909375
transcript.pyannote[1728].speaker SPEAKER_11
transcript.pyannote[1728].start 9795.71534375
transcript.pyannote[1728].end 9800.84534375
transcript.pyannote[1729].speaker SPEAKER_11
transcript.pyannote[1729].start 9801.40221875
transcript.pyannote[1729].end 9808.15221875
transcript.pyannote[1730].speaker SPEAKER_11
transcript.pyannote[1730].start 9808.91159375
transcript.pyannote[1730].end 9813.11346875
transcript.pyannote[1731].speaker SPEAKER_02
transcript.pyannote[1731].start 9814.04159375
transcript.pyannote[1731].end 9814.83471875
transcript.pyannote[1732].speaker SPEAKER_02
transcript.pyannote[1732].start 9815.69534375
transcript.pyannote[1732].end 9823.23846875
transcript.pyannote[1733].speaker SPEAKER_11
transcript.pyannote[1733].start 9821.90534375
transcript.pyannote[1733].end 9825.61784375
transcript.pyannote[1734].speaker SPEAKER_02
transcript.pyannote[1734].start 9824.04846875
transcript.pyannote[1734].end 9827.01846875
transcript.pyannote[1735].speaker SPEAKER_11
transcript.pyannote[1735].start 9826.12409375
transcript.pyannote[1735].end 9831.77721875
transcript.pyannote[1736].speaker SPEAKER_11
transcript.pyannote[1736].start 9832.38471875
transcript.pyannote[1736].end 9834.59534375
transcript.pyannote[1737].speaker SPEAKER_02
transcript.pyannote[1737].start 9832.57034375
transcript.pyannote[1737].end 9832.80659375
transcript.pyannote[1738].speaker SPEAKER_02
transcript.pyannote[1738].start 9834.10596875
transcript.pyannote[1738].end 9836.48534375
transcript.pyannote[1739].speaker SPEAKER_11
transcript.pyannote[1739].start 9835.16909375
transcript.pyannote[1739].end 9838.74659375
transcript.pyannote[1740].speaker SPEAKER_11
transcript.pyannote[1740].start 9838.84784375
transcript.pyannote[1740].end 9842.42534375
transcript.pyannote[1741].speaker SPEAKER_23
transcript.pyannote[1741].start 9849.36096875
transcript.pyannote[1741].end 9851.55471875
transcript.pyannote[1742].speaker SPEAKER_23
transcript.pyannote[1742].start 9852.76971875
transcript.pyannote[1742].end 9857.44409375
transcript.pyannote[1743].speaker SPEAKER_23
transcript.pyannote[1743].start 9860.14409375
transcript.pyannote[1743].end 9860.71784375
transcript.pyannote[1744].speaker SPEAKER_10
transcript.pyannote[1744].start 9860.71784375
transcript.pyannote[1744].end 9861.25784375
transcript.pyannote[1745].speaker SPEAKER_23
transcript.pyannote[1745].start 9861.25784375
transcript.pyannote[1745].end 9862.03409375
transcript.pyannote[1746].speaker SPEAKER_10
transcript.pyannote[1746].start 9861.40971875
transcript.pyannote[1746].end 9862.00034375
transcript.pyannote[1747].speaker SPEAKER_10
transcript.pyannote[1747].start 9862.03409375
transcript.pyannote[1747].end 9862.67534375
transcript.pyannote[1748].speaker SPEAKER_10
transcript.pyannote[1748].start 9865.47659375
transcript.pyannote[1748].end 9867.21471875
transcript.pyannote[1749].speaker SPEAKER_10
transcript.pyannote[1749].start 9868.83471875
transcript.pyannote[1749].end 9869.52659375
transcript.pyannote[1750].speaker SPEAKER_10
transcript.pyannote[1750].start 9869.79659375
transcript.pyannote[1750].end 9873.61034375
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 9873.86346875
transcript.pyannote[1751].end 9874.74096875
transcript.pyannote[1752].speaker SPEAKER_23
transcript.pyannote[1752].start 9875.01096875
transcript.pyannote[1752].end 9875.71971875
transcript.pyannote[1753].speaker SPEAKER_17
transcript.pyannote[1753].start 9881.35596875
transcript.pyannote[1753].end 9881.77784375
transcript.pyannote[1754].speaker SPEAKER_08
transcript.pyannote[1754].start 9881.77784375
transcript.pyannote[1754].end 9881.79471875
transcript.pyannote[1755].speaker SPEAKER_10
transcript.pyannote[1755].start 9881.89596875
transcript.pyannote[1755].end 9886.03034375
transcript.pyannote[1756].speaker SPEAKER_10
transcript.pyannote[1756].start 9886.09784375
transcript.pyannote[1756].end 9892.44284375
transcript.pyannote[1757].speaker SPEAKER_10
transcript.pyannote[1757].start 9893.20221875
transcript.pyannote[1757].end 9894.65346875
transcript.pyannote[1758].speaker SPEAKER_02
transcript.pyannote[1758].start 9895.37909375
transcript.pyannote[1758].end 9898.60221875
transcript.pyannote[1759].speaker SPEAKER_02
transcript.pyannote[1759].start 9898.85534375
transcript.pyannote[1759].end 9899.98596875
transcript.pyannote[1760].speaker SPEAKER_10
transcript.pyannote[1760].start 9900.05346875
transcript.pyannote[1760].end 9904.96409375
transcript.pyannote[1761].speaker SPEAKER_10
transcript.pyannote[1761].start 9905.35221875
transcript.pyannote[1761].end 9906.51659375
transcript.pyannote[1762].speaker SPEAKER_10
transcript.pyannote[1762].start 9906.87096875
transcript.pyannote[1762].end 9916.69221875
transcript.pyannote[1763].speaker SPEAKER_10
transcript.pyannote[1763].start 9917.82284375
transcript.pyannote[1763].end 9919.10534375
transcript.pyannote[1764].speaker SPEAKER_10
transcript.pyannote[1764].start 9919.62846875
transcript.pyannote[1764].end 9922.21034375
transcript.pyannote[1765].speaker SPEAKER_10
transcript.pyannote[1765].start 9922.63221875
transcript.pyannote[1765].end 9925.80471875
transcript.pyannote[1766].speaker SPEAKER_10
transcript.pyannote[1766].start 9926.39534375
transcript.pyannote[1766].end 9927.50909375
transcript.pyannote[1767].speaker SPEAKER_10
transcript.pyannote[1767].start 9927.93096875
transcript.pyannote[1767].end 9930.25971875
transcript.pyannote[1768].speaker SPEAKER_10
transcript.pyannote[1768].start 9930.51284375
transcript.pyannote[1768].end 9933.49971875
transcript.pyannote[1769].speaker SPEAKER_02
transcript.pyannote[1769].start 9933.83721875
transcript.pyannote[1769].end 9935.01846875
transcript.pyannote[1770].speaker SPEAKER_02
transcript.pyannote[1770].start 9935.33909375
transcript.pyannote[1770].end 9936.50346875
transcript.pyannote[1771].speaker SPEAKER_10
transcript.pyannote[1771].start 9936.50346875
transcript.pyannote[1771].end 9937.88721875
transcript.pyannote[1772].speaker SPEAKER_10
transcript.pyannote[1772].start 9938.19096875
transcript.pyannote[1772].end 9952.07909375
transcript.pyannote[1773].speaker SPEAKER_17
transcript.pyannote[1773].start 9953.81721875
transcript.pyannote[1773].end 9953.83409375
transcript.pyannote[1774].speaker SPEAKER_02
transcript.pyannote[1774].start 9953.83409375
transcript.pyannote[1774].end 9954.54284375
transcript.pyannote[1775].speaker SPEAKER_10
transcript.pyannote[1775].start 9954.01971875
transcript.pyannote[1775].end 9955.36971875
transcript.pyannote[1776].speaker SPEAKER_02
transcript.pyannote[1776].start 9954.74534375
transcript.pyannote[1776].end 9955.08284375
transcript.pyannote[1777].speaker SPEAKER_02
transcript.pyannote[1777].start 9955.36971875
transcript.pyannote[1777].end 9962.13659375
transcript.pyannote[1778].speaker SPEAKER_10
transcript.pyannote[1778].start 9960.01034375
transcript.pyannote[1778].end 9964.71846875
transcript.pyannote[1779].speaker SPEAKER_10
transcript.pyannote[1779].start 9965.05596875
transcript.pyannote[1779].end 9966.89534375
transcript.pyannote[1780].speaker SPEAKER_10
transcript.pyannote[1780].start 9967.28346875
transcript.pyannote[1780].end 9968.88659375
transcript.pyannote[1781].speaker SPEAKER_10
transcript.pyannote[1781].start 9969.59534375
transcript.pyannote[1781].end 9972.09284375
transcript.pyannote[1782].speaker SPEAKER_10
transcript.pyannote[1782].start 9972.43034375
transcript.pyannote[1782].end 9975.23159375
transcript.pyannote[1783].speaker SPEAKER_10
transcript.pyannote[1783].start 9975.87284375
transcript.pyannote[1783].end 9991.43159375
transcript.pyannote[1784].speaker SPEAKER_02
transcript.pyannote[1784].start 9993.06846875
transcript.pyannote[1784].end 9997.00034375
transcript.pyannote[1785].speaker SPEAKER_10
transcript.pyannote[1785].start 9993.62534375
transcript.pyannote[1785].end 9995.00909375
transcript.pyannote[1786].speaker SPEAKER_10
transcript.pyannote[1786].start 9995.70096875
transcript.pyannote[1786].end 10002.06284375
transcript.pyannote[1787].speaker SPEAKER_10
transcript.pyannote[1787].start 10002.16409375
transcript.pyannote[1787].end 10011.07409375
transcript.pyannote[1788].speaker SPEAKER_10
transcript.pyannote[1788].start 10012.50846875
transcript.pyannote[1788].end 10013.95971875
transcript.pyannote[1789].speaker SPEAKER_02
transcript.pyannote[1789].start 10013.01471875
transcript.pyannote[1789].end 10019.61284375
transcript.pyannote[1790].speaker SPEAKER_10
transcript.pyannote[1790].start 10018.09409375
transcript.pyannote[1790].end 10023.27471875
transcript.pyannote[1791].speaker SPEAKER_10
transcript.pyannote[1791].start 10023.78096875
transcript.pyannote[1791].end 10027.18971875
transcript.pyannote[1792].speaker SPEAKER_10
transcript.pyannote[1792].start 10027.79721875
transcript.pyannote[1792].end 10030.54784375
transcript.pyannote[1793].speaker SPEAKER_10
transcript.pyannote[1793].start 10031.02034375
transcript.pyannote[1793].end 10038.52971875
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 10039.12034375
transcript.pyannote[1794].end 10045.63409375
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 10046.00534375
transcript.pyannote[1795].end 10053.53159375
transcript.pyannote[1796].speaker SPEAKER_10
transcript.pyannote[1796].start 10053.56534375
transcript.pyannote[1796].end 10060.46721875
transcript.pyannote[1797].speaker SPEAKER_10
transcript.pyannote[1797].start 10060.88909375
transcript.pyannote[1797].end 10065.56346875
transcript.pyannote[1798].speaker SPEAKER_10
transcript.pyannote[1798].start 10065.83346875
transcript.pyannote[1798].end 10068.11159375
transcript.pyannote[1799].speaker SPEAKER_02
transcript.pyannote[1799].start 10068.93846875
transcript.pyannote[1799].end 10072.85346875
transcript.pyannote[1800].speaker SPEAKER_10
transcript.pyannote[1800].start 10071.79034375
transcript.pyannote[1800].end 10074.87846875
transcript.pyannote[1801].speaker SPEAKER_10
transcript.pyannote[1801].start 10075.31721875
transcript.pyannote[1801].end 10084.85159375
transcript.pyannote[1802].speaker SPEAKER_10
transcript.pyannote[1802].start 10085.44221875
transcript.pyannote[1802].end 10088.91846875
transcript.pyannote[1803].speaker SPEAKER_10
transcript.pyannote[1803].start 10088.96909375
transcript.pyannote[1803].end 10096.61346875
transcript.pyannote[1804].speaker SPEAKER_10
transcript.pyannote[1804].start 10097.03534375
transcript.pyannote[1804].end 10098.85784375
transcript.pyannote[1805].speaker SPEAKER_10
transcript.pyannote[1805].start 10099.04346875
transcript.pyannote[1805].end 10104.94971875
transcript.pyannote[1806].speaker SPEAKER_10
transcript.pyannote[1806].start 10105.35471875
transcript.pyannote[1806].end 10108.72971875
transcript.pyannote[1807].speaker SPEAKER_10
transcript.pyannote[1807].start 10108.79721875
transcript.pyannote[1807].end 10115.24346875
transcript.pyannote[1808].speaker SPEAKER_10
transcript.pyannote[1808].start 10115.64846875
transcript.pyannote[1808].end 10121.89221875
transcript.pyannote[1809].speaker SPEAKER_10
transcript.pyannote[1809].start 10122.12846875
transcript.pyannote[1809].end 10123.51221875
transcript.pyannote[1810].speaker SPEAKER_10
transcript.pyannote[1810].start 10123.96784375
transcript.pyannote[1810].end 10128.35534375
transcript.pyannote[1811].speaker SPEAKER_10
transcript.pyannote[1811].start 10128.47346875
transcript.pyannote[1811].end 10130.63346875
transcript.pyannote[1812].speaker SPEAKER_10
transcript.pyannote[1812].start 10131.30846875
transcript.pyannote[1812].end 10134.07596875
transcript.pyannote[1813].speaker SPEAKER_10
transcript.pyannote[1813].start 10134.41346875
transcript.pyannote[1813].end 10144.69034375
transcript.pyannote[1814].speaker SPEAKER_10
transcript.pyannote[1814].start 10144.92659375
transcript.pyannote[1814].end 10148.62221875
transcript.pyannote[1815].speaker SPEAKER_10
transcript.pyannote[1815].start 10148.75721875
transcript.pyannote[1815].end 10149.24659375
transcript.pyannote[1816].speaker SPEAKER_10
transcript.pyannote[1816].start 10149.41534375
transcript.pyannote[1816].end 10151.79471875
transcript.pyannote[1817].speaker SPEAKER_02
transcript.pyannote[1817].start 10152.48659375
transcript.pyannote[1817].end 10162.69596875
transcript.pyannote[1818].speaker SPEAKER_10
transcript.pyannote[1818].start 10160.90721875
transcript.pyannote[1818].end 10164.50159375
transcript.pyannote[1819].speaker SPEAKER_10
transcript.pyannote[1819].start 10164.56909375
transcript.pyannote[1819].end 10167.91034375
transcript.pyannote[1820].speaker SPEAKER_10
transcript.pyannote[1820].start 10168.95659375
transcript.pyannote[1820].end 10173.81659375
transcript.pyannote[1821].speaker SPEAKER_10
transcript.pyannote[1821].start 10175.85846875
transcript.pyannote[1821].end 10175.89221875
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 10175.89221875
transcript.pyannote[1822].end 10176.97221875
transcript.pyannote[1823].speaker SPEAKER_10
transcript.pyannote[1823].start 10176.97221875
transcript.pyannote[1823].end 10177.73159375
transcript.pyannote[1824].speaker SPEAKER_02
transcript.pyannote[1824].start 10177.36034375
transcript.pyannote[1824].end 10178.25471875
transcript.pyannote[1825].speaker SPEAKER_10
transcript.pyannote[1825].start 10178.25471875
transcript.pyannote[1825].end 10186.00034375
transcript.pyannote[1826].speaker SPEAKER_02
transcript.pyannote[1826].start 10178.30534375
transcript.pyannote[1826].end 10180.07721875
transcript.pyannote[1827].speaker SPEAKER_10
transcript.pyannote[1827].start 10186.25346875
transcript.pyannote[1827].end 10187.31659375
transcript.pyannote[1828].speaker SPEAKER_10
transcript.pyannote[1828].start 10187.55284375
transcript.pyannote[1828].end 10190.16846875
transcript.pyannote[1829].speaker SPEAKER_10
transcript.pyannote[1829].start 10190.50596875
transcript.pyannote[1829].end 10193.66159375
transcript.pyannote[1830].speaker SPEAKER_10
transcript.pyannote[1830].start 10194.08346875
transcript.pyannote[1830].end 10195.43346875
transcript.pyannote[1831].speaker SPEAKER_10
transcript.pyannote[1831].start 10195.92284375
transcript.pyannote[1831].end 10198.03221875
transcript.pyannote[1832].speaker SPEAKER_10
transcript.pyannote[1832].start 10198.35284375
transcript.pyannote[1832].end 10203.24659375
transcript.pyannote[1833].speaker SPEAKER_10
transcript.pyannote[1833].start 10203.58409375
transcript.pyannote[1833].end 10205.59221875
transcript.pyannote[1834].speaker SPEAKER_10
transcript.pyannote[1834].start 10206.04784375
transcript.pyannote[1834].end 10208.27534375
transcript.pyannote[1835].speaker SPEAKER_10
transcript.pyannote[1835].start 10208.69721875
transcript.pyannote[1835].end 10209.86159375
transcript.pyannote[1836].speaker SPEAKER_10
transcript.pyannote[1836].start 10210.16534375
transcript.pyannote[1836].end 10219.42971875
transcript.pyannote[1837].speaker SPEAKER_10
transcript.pyannote[1837].start 10219.95284375
transcript.pyannote[1837].end 10227.36096875
transcript.pyannote[1838].speaker SPEAKER_10
transcript.pyannote[1838].start 10227.47909375
transcript.pyannote[1838].end 10229.18346875
transcript.pyannote[1839].speaker SPEAKER_10
transcript.pyannote[1839].start 10230.60096875
transcript.pyannote[1839].end 10231.49534375
transcript.pyannote[1840].speaker SPEAKER_02
transcript.pyannote[1840].start 10231.19159375
transcript.pyannote[1840].end 10232.99721875
transcript.pyannote[1841].speaker SPEAKER_10
transcript.pyannote[1841].start 10232.38971875
transcript.pyannote[1841].end 10234.90409375
transcript.pyannote[1842].speaker SPEAKER_10
transcript.pyannote[1842].start 10235.10659375
transcript.pyannote[1842].end 10236.62534375
transcript.pyannote[1843].speaker SPEAKER_10
transcript.pyannote[1843].start 10236.79409375
transcript.pyannote[1843].end 10237.19909375
transcript.pyannote[1844].speaker SPEAKER_10
transcript.pyannote[1844].start 10237.41846875
transcript.pyannote[1844].end 10238.12721875
transcript.pyannote[1845].speaker SPEAKER_10
transcript.pyannote[1845].start 10238.53221875
transcript.pyannote[1845].end 10238.92034375
transcript.pyannote[1846].speaker SPEAKER_10
transcript.pyannote[1846].start 10239.25784375
transcript.pyannote[1846].end 10241.21534375
transcript.pyannote[1847].speaker SPEAKER_10
transcript.pyannote[1847].start 10241.50221875
transcript.pyannote[1847].end 10243.47659375
transcript.pyannote[1848].speaker SPEAKER_10
transcript.pyannote[1848].start 10243.74659375
transcript.pyannote[1848].end 10244.86034375
transcript.pyannote[1849].speaker SPEAKER_10
transcript.pyannote[1849].start 10245.28221875
transcript.pyannote[1849].end 10245.97409375
transcript.pyannote[1850].speaker SPEAKER_10
transcript.pyannote[1850].start 10246.22721875
transcript.pyannote[1850].end 10246.81784375
transcript.pyannote[1851].speaker SPEAKER_10
transcript.pyannote[1851].start 10247.08784375
transcript.pyannote[1851].end 10247.35784375
transcript.pyannote[1852].speaker SPEAKER_10
transcript.pyannote[1852].start 10247.83034375
transcript.pyannote[1852].end 10250.24346875
transcript.pyannote[1853].speaker SPEAKER_02
transcript.pyannote[1853].start 10251.44159375
transcript.pyannote[1853].end 10254.12471875
transcript.pyannote[1854].speaker SPEAKER_10
transcript.pyannote[1854].start 10254.10784375
transcript.pyannote[1854].end 10256.53784375
transcript.pyannote[1855].speaker SPEAKER_02
transcript.pyannote[1855].start 10256.75721875
transcript.pyannote[1855].end 10259.76096875
transcript.pyannote[1856].speaker SPEAKER_10
transcript.pyannote[1856].start 10260.13221875
transcript.pyannote[1856].end 10270.17284375
transcript.pyannote[1857].speaker SPEAKER_10
transcript.pyannote[1857].start 10270.44284375
transcript.pyannote[1857].end 10273.48034375
transcript.pyannote[1858].speaker SPEAKER_10
transcript.pyannote[1858].start 10273.59846875
transcript.pyannote[1858].end 10276.34909375
transcript.pyannote[1859].speaker SPEAKER_10
transcript.pyannote[1859].start 10276.63596875
transcript.pyannote[1859].end 10288.38096875
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 10288.83659375
transcript.pyannote[1860].end 10290.22034375
transcript.pyannote[1861].speaker SPEAKER_10
transcript.pyannote[1861].start 10290.49034375
transcript.pyannote[1861].end 10291.04721875
transcript.pyannote[1862].speaker SPEAKER_23
transcript.pyannote[1862].start 10297.54409375
transcript.pyannote[1862].end 10299.19784375
transcript.pyannote[1863].speaker SPEAKER_00
transcript.pyannote[1863].start 10307.71971875
transcript.pyannote[1863].end 10308.59721875
transcript.pyannote[1864].speaker SPEAKER_00
transcript.pyannote[1864].start 10309.12034375
transcript.pyannote[1864].end 10311.58409375
transcript.pyannote[1865].speaker SPEAKER_00
transcript.pyannote[1865].start 10311.66846875
transcript.pyannote[1865].end 10311.70221875
transcript.pyannote[1866].speaker SPEAKER_23
transcript.pyannote[1866].start 10311.70221875
transcript.pyannote[1866].end 10311.95534375
transcript.pyannote[1867].speaker SPEAKER_00
transcript.pyannote[1867].start 10311.95534375
transcript.pyannote[1867].end 10311.97221875
transcript.pyannote[1868].speaker SPEAKER_23
transcript.pyannote[1868].start 10311.97221875
transcript.pyannote[1868].end 10312.22534375
transcript.pyannote[1869].speaker SPEAKER_00
transcript.pyannote[1869].start 10312.22534375
transcript.pyannote[1869].end 10312.47846875
transcript.pyannote[1870].speaker SPEAKER_00
transcript.pyannote[1870].start 10319.58284375
transcript.pyannote[1870].end 10320.57846875
transcript.pyannote[1871].speaker SPEAKER_00
transcript.pyannote[1871].start 10321.32096875
transcript.pyannote[1871].end 10322.87346875
transcript.pyannote[1872].speaker SPEAKER_00
transcript.pyannote[1872].start 10323.12659375
transcript.pyannote[1872].end 10324.05471875
transcript.pyannote[1873].speaker SPEAKER_00
transcript.pyannote[1873].start 10325.38784375
transcript.pyannote[1873].end 10329.04971875
transcript.pyannote[1874].speaker SPEAKER_00
transcript.pyannote[1874].start 10329.72471875
transcript.pyannote[1874].end 10332.08721875
transcript.pyannote[1875].speaker SPEAKER_00
transcript.pyannote[1875].start 10332.39096875
transcript.pyannote[1875].end 10333.48784375
transcript.pyannote[1876].speaker SPEAKER_00
transcript.pyannote[1876].start 10334.14596875
transcript.pyannote[1876].end 10336.42409375
transcript.pyannote[1877].speaker SPEAKER_00
transcript.pyannote[1877].start 10336.84596875
transcript.pyannote[1877].end 10338.98909375
transcript.pyannote[1878].speaker SPEAKER_00
transcript.pyannote[1878].start 10339.46159375
transcript.pyannote[1878].end 10342.24596875
transcript.pyannote[1879].speaker SPEAKER_00
transcript.pyannote[1879].start 10342.81971875
transcript.pyannote[1879].end 10346.63346875
transcript.pyannote[1880].speaker SPEAKER_00
transcript.pyannote[1880].start 10347.17346875
transcript.pyannote[1880].end 10348.79346875
transcript.pyannote[1881].speaker SPEAKER_00
transcript.pyannote[1881].start 10349.55284375
transcript.pyannote[1881].end 10354.32846875
transcript.pyannote[1882].speaker SPEAKER_00
transcript.pyannote[1882].start 10354.96971875
transcript.pyannote[1882].end 10358.47971875
transcript.pyannote[1883].speaker SPEAKER_00
transcript.pyannote[1883].start 10359.42471875
transcript.pyannote[1883].end 10362.20909375
transcript.pyannote[1884].speaker SPEAKER_00
transcript.pyannote[1884].start 10362.66471875
transcript.pyannote[1884].end 10367.17034375
transcript.pyannote[1885].speaker SPEAKER_00
transcript.pyannote[1885].start 10368.31784375
transcript.pyannote[1885].end 10370.49471875
transcript.pyannote[1886].speaker SPEAKER_00
transcript.pyannote[1886].start 10371.16971875
transcript.pyannote[1886].end 10373.53221875
transcript.pyannote[1887].speaker SPEAKER_00
transcript.pyannote[1887].start 10374.47721875
transcript.pyannote[1887].end 10376.90721875
transcript.pyannote[1888].speaker SPEAKER_00
transcript.pyannote[1888].start 10377.68346875
transcript.pyannote[1888].end 10379.65784375
transcript.pyannote[1889].speaker SPEAKER_00
transcript.pyannote[1889].start 10379.92784375
transcript.pyannote[1889].end 10382.15534375
transcript.pyannote[1890].speaker SPEAKER_00
transcript.pyannote[1890].start 10382.66159375
transcript.pyannote[1890].end 10387.35284375
transcript.pyannote[1891].speaker SPEAKER_00
transcript.pyannote[1891].start 10387.87596875
transcript.pyannote[1891].end 10390.79534375
transcript.pyannote[1892].speaker SPEAKER_00
transcript.pyannote[1892].start 10391.67284375
transcript.pyannote[1892].end 10394.30534375
transcript.pyannote[1893].speaker SPEAKER_00
transcript.pyannote[1893].start 10395.23346875
transcript.pyannote[1893].end 10397.96721875
transcript.pyannote[1894].speaker SPEAKER_00
transcript.pyannote[1894].start 10398.70971875
transcript.pyannote[1894].end 10399.57034375
transcript.pyannote[1895].speaker SPEAKER_00
transcript.pyannote[1895].start 10400.24534375
transcript.pyannote[1895].end 10406.18534375
transcript.pyannote[1896].speaker SPEAKER_00
transcript.pyannote[1896].start 10406.89409375
transcript.pyannote[1896].end 10412.64846875
transcript.pyannote[1897].speaker SPEAKER_00
transcript.pyannote[1897].start 10413.47534375
transcript.pyannote[1897].end 10414.50471875
transcript.pyannote[1898].speaker SPEAKER_02
transcript.pyannote[1898].start 10415.44971875
transcript.pyannote[1898].end 10417.18784375
transcript.pyannote[1899].speaker SPEAKER_00
transcript.pyannote[1899].start 10417.69409375
transcript.pyannote[1899].end 10417.84596875
transcript.pyannote[1900].speaker SPEAKER_02
transcript.pyannote[1900].start 10417.84596875
transcript.pyannote[1900].end 10419.66846875
transcript.pyannote[1901].speaker SPEAKER_00
transcript.pyannote[1901].start 10417.98096875
transcript.pyannote[1901].end 10418.16659375
transcript.pyannote[1902].speaker SPEAKER_00
transcript.pyannote[1902].start 10419.60096875
transcript.pyannote[1902].end 10421.64284375
transcript.pyannote[1903].speaker SPEAKER_02
transcript.pyannote[1903].start 10421.64284375
transcript.pyannote[1903].end 10422.11534375
transcript.pyannote[1904].speaker SPEAKER_02
transcript.pyannote[1904].start 10422.52034375
transcript.pyannote[1904].end 10425.45659375
transcript.pyannote[1905].speaker SPEAKER_00
transcript.pyannote[1905].start 10423.26284375
transcript.pyannote[1905].end 10424.46096875
transcript.pyannote[1906].speaker SPEAKER_00
transcript.pyannote[1906].start 10425.45659375
transcript.pyannote[1906].end 10426.84034375
transcript.pyannote[1907].speaker SPEAKER_02
transcript.pyannote[1907].start 10425.47346875
transcript.pyannote[1907].end 10425.49034375
transcript.pyannote[1908].speaker SPEAKER_02
transcript.pyannote[1908].start 10425.52409375
transcript.pyannote[1908].end 10425.94596875
transcript.pyannote[1909].speaker SPEAKER_02
transcript.pyannote[1909].start 10426.01346875
transcript.pyannote[1909].end 10428.51096875
transcript.pyannote[1910].speaker SPEAKER_02
transcript.pyannote[1910].start 10428.83159375
transcript.pyannote[1910].end 10431.27846875
transcript.pyannote[1911].speaker SPEAKER_00
transcript.pyannote[1911].start 10431.32909375
transcript.pyannote[1911].end 10436.66159375
transcript.pyannote[1912].speaker SPEAKER_02
transcript.pyannote[1912].start 10433.60721875
transcript.pyannote[1912].end 10433.86034375
transcript.pyannote[1913].speaker SPEAKER_01
transcript.pyannote[1913].start 10433.86034375
transcript.pyannote[1913].end 10434.04596875
transcript.pyannote[1914].speaker SPEAKER_02
transcript.pyannote[1914].start 10436.32409375
transcript.pyannote[1914].end 10438.02846875
transcript.pyannote[1915].speaker SPEAKER_18
transcript.pyannote[1915].start 10438.02846875
transcript.pyannote[1915].end 10438.19721875
transcript.pyannote[1916].speaker SPEAKER_02
transcript.pyannote[1916].start 10438.19721875
transcript.pyannote[1916].end 10438.26471875
transcript.pyannote[1917].speaker SPEAKER_00
transcript.pyannote[1917].start 10438.43346875
transcript.pyannote[1917].end 10441.25159375
transcript.pyannote[1918].speaker SPEAKER_18
transcript.pyannote[1918].start 10442.11221875
transcript.pyannote[1918].end 10451.05596875
transcript.pyannote[1919].speaker SPEAKER_00
transcript.pyannote[1919].start 10444.79534375
transcript.pyannote[1919].end 10446.14534375
transcript.pyannote[1920].speaker SPEAKER_00
transcript.pyannote[1920].start 10450.19534375
transcript.pyannote[1920].end 10455.56159375
transcript.pyannote[1921].speaker SPEAKER_18
transcript.pyannote[1921].start 10456.20284375
transcript.pyannote[1921].end 10466.15909375
transcript.pyannote[1922].speaker SPEAKER_00
transcript.pyannote[1922].start 10464.26909375
transcript.pyannote[1922].end 10466.39534375
transcript.pyannote[1923].speaker SPEAKER_18
transcript.pyannote[1923].start 10466.54721875
transcript.pyannote[1923].end 10466.63159375
transcript.pyannote[1924].speaker SPEAKER_00
transcript.pyannote[1924].start 10466.63159375
transcript.pyannote[1924].end 10467.91409375
transcript.pyannote[1925].speaker SPEAKER_18
transcript.pyannote[1925].start 10466.64846875
transcript.pyannote[1925].end 10467.47534375
transcript.pyannote[1926].speaker SPEAKER_00
transcript.pyannote[1926].start 10468.60596875
transcript.pyannote[1926].end 10468.75784375
transcript.pyannote[1927].speaker SPEAKER_18
transcript.pyannote[1927].start 10468.75784375
transcript.pyannote[1927].end 10469.02784375
transcript.pyannote[1928].speaker SPEAKER_00
transcript.pyannote[1928].start 10469.02784375
transcript.pyannote[1928].end 10470.66471875
transcript.pyannote[1929].speaker SPEAKER_18
transcript.pyannote[1929].start 10469.63534375
transcript.pyannote[1929].end 10470.00659375
transcript.pyannote[1930].speaker SPEAKER_00
transcript.pyannote[1930].start 10471.35659375
transcript.pyannote[1930].end 10476.11534375
transcript.pyannote[1931].speaker SPEAKER_00
transcript.pyannote[1931].start 10476.85784375
transcript.pyannote[1931].end 10478.42721875
transcript.pyannote[1932].speaker SPEAKER_02
transcript.pyannote[1932].start 10479.03471875
transcript.pyannote[1932].end 10484.51909375
transcript.pyannote[1933].speaker SPEAKER_00
transcript.pyannote[1933].start 10483.35471875
transcript.pyannote[1933].end 10485.64971875
transcript.pyannote[1934].speaker SPEAKER_02
transcript.pyannote[1934].start 10485.64971875
transcript.pyannote[1934].end 10485.83534375
transcript.pyannote[1935].speaker SPEAKER_00
transcript.pyannote[1935].start 10485.83534375
transcript.pyannote[1935].end 10485.93659375
transcript.pyannote[1936].speaker SPEAKER_00
transcript.pyannote[1936].start 10486.29096875
transcript.pyannote[1936].end 10487.96159375
transcript.pyannote[1937].speaker SPEAKER_02
transcript.pyannote[1937].start 10487.25284375
transcript.pyannote[1937].end 10498.39034375
transcript.pyannote[1938].speaker SPEAKER_00
transcript.pyannote[1938].start 10497.27659375
transcript.pyannote[1938].end 10505.54534375
transcript.pyannote[1939].speaker SPEAKER_00
transcript.pyannote[1939].start 10505.95034375
transcript.pyannote[1939].end 10507.18221875
transcript.pyannote[1940].speaker SPEAKER_00
transcript.pyannote[1940].start 10507.24971875
transcript.pyannote[1940].end 10507.94159375
transcript.pyannote[1941].speaker SPEAKER_00
transcript.pyannote[1941].start 10508.29596875
transcript.pyannote[1941].end 10509.52784375
transcript.pyannote[1942].speaker SPEAKER_00
transcript.pyannote[1942].start 10510.20284375
transcript.pyannote[1942].end 10511.78909375
transcript.pyannote[1943].speaker SPEAKER_00
transcript.pyannote[1943].start 10512.24471875
transcript.pyannote[1943].end 10513.30784375
transcript.pyannote[1944].speaker SPEAKER_00
transcript.pyannote[1944].start 10515.50159375
transcript.pyannote[1944].end 10520.76659375
transcript.pyannote[1945].speaker SPEAKER_00
transcript.pyannote[1945].start 10520.96909375
transcript.pyannote[1945].end 10524.69846875
transcript.pyannote[1946].speaker SPEAKER_00
transcript.pyannote[1946].start 10526.35221875
transcript.pyannote[1946].end 10529.42346875
transcript.pyannote[1947].speaker SPEAKER_00
transcript.pyannote[1947].start 10530.26721875
transcript.pyannote[1947].end 10531.49909375
transcript.pyannote[1948].speaker SPEAKER_00
transcript.pyannote[1948].start 10532.84909375
transcript.pyannote[1948].end 10535.98784375
transcript.pyannote[1949].speaker SPEAKER_00
transcript.pyannote[1949].start 10536.52784375
transcript.pyannote[1949].end 10538.99159375
transcript.pyannote[1950].speaker SPEAKER_00
transcript.pyannote[1950].start 10539.41346875
transcript.pyannote[1950].end 10541.79284375
transcript.pyannote[1951].speaker SPEAKER_00
transcript.pyannote[1951].start 10542.53534375
transcript.pyannote[1951].end 10545.16784375
transcript.pyannote[1952].speaker SPEAKER_00
transcript.pyannote[1952].start 10546.39971875
transcript.pyannote[1952].end 10547.20971875
transcript.pyannote[1953].speaker SPEAKER_00
transcript.pyannote[1953].start 10547.47971875
transcript.pyannote[1953].end 10548.77909375
transcript.pyannote[1954].speaker SPEAKER_00
transcript.pyannote[1954].start 10550.24721875
transcript.pyannote[1954].end 10551.10784375
transcript.pyannote[1955].speaker SPEAKER_00
transcript.pyannote[1955].start 10551.39471875
transcript.pyannote[1955].end 10557.97596875
transcript.pyannote[1956].speaker SPEAKER_02
transcript.pyannote[1956].start 10555.91721875
transcript.pyannote[1956].end 10565.28284375
transcript.pyannote[1957].speaker SPEAKER_00
transcript.pyannote[1957].start 10564.92846875
transcript.pyannote[1957].end 10565.09721875
transcript.pyannote[1958].speaker SPEAKER_00
transcript.pyannote[1958].start 10565.28284375
transcript.pyannote[1958].end 10567.39221875
transcript.pyannote[1959].speaker SPEAKER_02
transcript.pyannote[1959].start 10565.46846875
transcript.pyannote[1959].end 10577.04471875
transcript.pyannote[1960].speaker SPEAKER_00
transcript.pyannote[1960].start 10570.42971875
transcript.pyannote[1960].end 10570.71659375
transcript.pyannote[1961].speaker SPEAKER_00
transcript.pyannote[1961].start 10571.03721875
transcript.pyannote[1961].end 10575.12096875
transcript.pyannote[1962].speaker SPEAKER_00
transcript.pyannote[1962].start 10575.55971875
transcript.pyannote[1962].end 10578.73221875
transcript.pyannote[1963].speaker SPEAKER_00
transcript.pyannote[1963].start 10579.50846875
transcript.pyannote[1963].end 10580.21721875
transcript.pyannote[1964].speaker SPEAKER_00
transcript.pyannote[1964].start 10581.26346875
transcript.pyannote[1964].end 10594.07159375
transcript.pyannote[1965].speaker SPEAKER_02
transcript.pyannote[1965].start 10591.74284375
transcript.pyannote[1965].end 10593.24471875
transcript.pyannote[1966].speaker SPEAKER_02
transcript.pyannote[1966].start 10593.75096875
transcript.pyannote[1966].end 10600.06221875
transcript.pyannote[1967].speaker SPEAKER_00
transcript.pyannote[1967].start 10597.73346875
transcript.pyannote[1967].end 10600.45034375
transcript.pyannote[1968].speaker SPEAKER_02
transcript.pyannote[1968].start 10600.45034375
transcript.pyannote[1968].end 10604.80409375
transcript.pyannote[1969].speaker SPEAKER_00
transcript.pyannote[1969].start 10602.89721875
transcript.pyannote[1969].end 10607.35221875
transcript.pyannote[1970].speaker SPEAKER_02
transcript.pyannote[1970].start 10605.73221875
transcript.pyannote[1970].end 10607.31846875
transcript.pyannote[1971].speaker SPEAKER_00
transcript.pyannote[1971].start 10608.60096875
transcript.pyannote[1971].end 10610.69346875
transcript.pyannote[1972].speaker SPEAKER_00
transcript.pyannote[1972].start 10611.55409375
transcript.pyannote[1972].end 10618.01721875
transcript.pyannote[1973].speaker SPEAKER_00
transcript.pyannote[1973].start 10619.68784375
transcript.pyannote[1973].end 10622.86034375
transcript.pyannote[1974].speaker SPEAKER_00
transcript.pyannote[1974].start 10623.40034375
transcript.pyannote[1974].end 10627.80471875
transcript.pyannote[1975].speaker SPEAKER_00
transcript.pyannote[1975].start 10629.25596875
transcript.pyannote[1975].end 10631.43284375
transcript.pyannote[1976].speaker SPEAKER_00
transcript.pyannote[1976].start 10632.96846875
transcript.pyannote[1976].end 10635.44909375
transcript.pyannote[1977].speaker SPEAKER_00
transcript.pyannote[1977].start 10636.03971875
transcript.pyannote[1977].end 10641.81096875
transcript.pyannote[1978].speaker SPEAKER_00
transcript.pyannote[1978].start 10642.38471875
transcript.pyannote[1978].end 10645.77659375
transcript.pyannote[1979].speaker SPEAKER_00
transcript.pyannote[1979].start 10646.85659375
transcript.pyannote[1979].end 10649.57346875
transcript.pyannote[1980].speaker SPEAKER_00
transcript.pyannote[1980].start 10650.13034375
transcript.pyannote[1980].end 10650.72096875
transcript.pyannote[1981].speaker SPEAKER_00
transcript.pyannote[1981].start 10651.19346875
transcript.pyannote[1981].end 10651.53096875
transcript.pyannote[1982].speaker SPEAKER_00
transcript.pyannote[1982].start 10651.78409375
transcript.pyannote[1982].end 10655.02409375
transcript.pyannote[1983].speaker SPEAKER_00
transcript.pyannote[1983].start 10655.32784375
transcript.pyannote[1983].end 10656.35721875
transcript.pyannote[1984].speaker SPEAKER_00
transcript.pyannote[1984].start 10657.36971875
transcript.pyannote[1984].end 10658.85471875
transcript.pyannote[1985].speaker SPEAKER_00
transcript.pyannote[1985].start 10659.15846875
transcript.pyannote[1985].end 10662.01034375
transcript.pyannote[1986].speaker SPEAKER_00
transcript.pyannote[1986].start 10662.56721875
transcript.pyannote[1986].end 10666.88721875
transcript.pyannote[1987].speaker SPEAKER_00
transcript.pyannote[1987].start 10667.39346875
transcript.pyannote[1987].end 10678.69971875
transcript.pyannote[1988].speaker SPEAKER_22
transcript.pyannote[1988].start 10670.26221875
transcript.pyannote[1988].end 10670.97096875
transcript.pyannote[1989].speaker SPEAKER_00
transcript.pyannote[1989].start 10679.29034375
transcript.pyannote[1989].end 10683.37409375
transcript.pyannote[1990].speaker SPEAKER_00
transcript.pyannote[1990].start 10683.61034375
transcript.pyannote[1990].end 10684.77471875
transcript.pyannote[1991].speaker SPEAKER_02
transcript.pyannote[1991].start 10683.84659375
transcript.pyannote[1991].end 10687.98096875
transcript.pyannote[1992].speaker SPEAKER_00
transcript.pyannote[1992].start 10686.27659375
transcript.pyannote[1992].end 10695.15284375
transcript.pyannote[1993].speaker SPEAKER_00
transcript.pyannote[1993].start 10695.94596875
transcript.pyannote[1993].end 10697.32971875
transcript.pyannote[1994].speaker SPEAKER_02
transcript.pyannote[1994].start 10697.17784375
transcript.pyannote[1994].end 10699.03409375
transcript.pyannote[1995].speaker SPEAKER_00
transcript.pyannote[1995].start 10699.03409375
transcript.pyannote[1995].end 10699.15221875
transcript.pyannote[1996].speaker SPEAKER_02
transcript.pyannote[1996].start 10699.15221875
transcript.pyannote[1996].end 10702.91534375
transcript.pyannote[1997].speaker SPEAKER_00
transcript.pyannote[1997].start 10699.72596875
transcript.pyannote[1997].end 10704.14721875
transcript.pyannote[1998].speaker SPEAKER_00
transcript.pyannote[1998].start 10704.80534375
transcript.pyannote[1998].end 10709.88471875
transcript.pyannote[1999].speaker SPEAKER_00
transcript.pyannote[1999].start 10710.13784375
transcript.pyannote[1999].end 10711.70721875
transcript.pyannote[2000].speaker SPEAKER_00
transcript.pyannote[2000].start 10712.28096875
transcript.pyannote[2000].end 10713.37784375
transcript.pyannote[2001].speaker SPEAKER_00
transcript.pyannote[2001].start 10714.13721875
transcript.pyannote[2001].end 10715.74034375
transcript.pyannote[2002].speaker SPEAKER_00
transcript.pyannote[2002].start 10716.28034375
transcript.pyannote[2002].end 10718.59221875
transcript.pyannote[2003].speaker SPEAKER_00
transcript.pyannote[2003].start 10718.96346875
transcript.pyannote[2003].end 10720.88721875
transcript.pyannote[2004].speaker SPEAKER_00
transcript.pyannote[2004].start 10721.25846875
transcript.pyannote[2004].end 10723.43534375
transcript.pyannote[2005].speaker SPEAKER_00
transcript.pyannote[2005].start 10724.05971875
transcript.pyannote[2005].end 10727.09721875
transcript.pyannote[2006].speaker SPEAKER_00
transcript.pyannote[2006].start 10728.05909375
transcript.pyannote[2006].end 10728.98721875
transcript.pyannote[2007].speaker SPEAKER_00
transcript.pyannote[2007].start 10729.72971875
transcript.pyannote[2007].end 10732.59846875
transcript.pyannote[2008].speaker SPEAKER_02
transcript.pyannote[2008].start 10732.21034375
transcript.pyannote[2008].end 10742.70659375
transcript.pyannote[2009].speaker SPEAKER_00
transcript.pyannote[2009].start 10738.16721875
transcript.pyannote[2009].end 10738.33596875
transcript.pyannote[2010].speaker SPEAKER_00
transcript.pyannote[2010].start 10743.43221875
transcript.pyannote[2010].end 10745.98034375
transcript.pyannote[2011].speaker SPEAKER_00
transcript.pyannote[2011].start 10746.04784375
transcript.pyannote[2011].end 10751.51534375
transcript.pyannote[2012].speaker SPEAKER_00
transcript.pyannote[2012].start 10752.08909375
transcript.pyannote[2012].end 10757.87721875
transcript.pyannote[2013].speaker SPEAKER_00
transcript.pyannote[2013].start 10758.43409375
transcript.pyannote[2013].end 10761.60659375
transcript.pyannote[2014].speaker SPEAKER_01
transcript.pyannote[2014].start 10760.94846875
transcript.pyannote[2014].end 10761.47159375
transcript.pyannote[2015].speaker SPEAKER_00
transcript.pyannote[2015].start 10762.87221875
transcript.pyannote[2015].end 10763.26034375
transcript.pyannote[2016].speaker SPEAKER_00
transcript.pyannote[2016].start 10763.71596875
transcript.pyannote[2016].end 10764.54284375
transcript.pyannote[2017].speaker SPEAKER_00
transcript.pyannote[2017].start 10765.72409375
transcript.pyannote[2017].end 10767.39471875
transcript.pyannote[2018].speaker SPEAKER_00
transcript.pyannote[2018].start 10767.86721875
transcript.pyannote[2018].end 10771.25909375
transcript.pyannote[2019].speaker SPEAKER_17
transcript.pyannote[2019].start 10771.81596875
transcript.pyannote[2019].end 10772.54159375
transcript.pyannote[2020].speaker SPEAKER_00
transcript.pyannote[2020].start 10771.90034375
transcript.pyannote[2020].end 10773.03096875
transcript.pyannote[2021].speaker SPEAKER_00
transcript.pyannote[2021].start 10773.16596875
transcript.pyannote[2021].end 10774.56659375
transcript.pyannote[2022].speaker SPEAKER_00
transcript.pyannote[2022].start 10774.85346875
transcript.pyannote[2022].end 10779.46034375
transcript.pyannote[2023].speaker SPEAKER_00
transcript.pyannote[2023].start 10779.61221875
transcript.pyannote[2023].end 10783.45971875
transcript.pyannote[2024].speaker SPEAKER_00
transcript.pyannote[2024].start 10783.79721875
transcript.pyannote[2024].end 10790.66534375
transcript.pyannote[2025].speaker SPEAKER_00
transcript.pyannote[2025].start 10791.67784375
transcript.pyannote[2025].end 10802.27534375
transcript.pyannote[2026].speaker SPEAKER_00
transcript.pyannote[2026].start 10802.88284375
transcript.pyannote[2026].end 10804.82346875
transcript.pyannote[2027].speaker SPEAKER_00
transcript.pyannote[2027].start 10805.29596875
transcript.pyannote[2027].end 10811.96159375
transcript.pyannote[2028].speaker SPEAKER_02
transcript.pyannote[2028].start 10809.90284375
transcript.pyannote[2028].end 10816.43346875
transcript.pyannote[2029].speaker SPEAKER_00
transcript.pyannote[2029].start 10813.71659375
transcript.pyannote[2029].end 10819.33596875
transcript.pyannote[2030].speaker SPEAKER_00
transcript.pyannote[2030].start 10820.23034375
transcript.pyannote[2030].end 10823.89221875
transcript.pyannote[2031].speaker SPEAKER_00
transcript.pyannote[2031].start 10824.82034375
transcript.pyannote[2031].end 10829.34284375
transcript.pyannote[2032].speaker SPEAKER_00
transcript.pyannote[2032].start 10830.32159375
transcript.pyannote[2032].end 10832.90346875
transcript.pyannote[2033].speaker SPEAKER_00
transcript.pyannote[2033].start 10834.21971875
transcript.pyannote[2033].end 10837.22346875
transcript.pyannote[2034].speaker SPEAKER_00
transcript.pyannote[2034].start 10837.74659375
transcript.pyannote[2034].end 10839.58596875
transcript.pyannote[2035].speaker SPEAKER_00
transcript.pyannote[2035].start 10840.17659375
transcript.pyannote[2035].end 10844.26034375
transcript.pyannote[2036].speaker SPEAKER_00
transcript.pyannote[2036].start 10844.93534375
transcript.pyannote[2036].end 10845.67784375
transcript.pyannote[2037].speaker SPEAKER_00
transcript.pyannote[2037].start 10846.08284375
transcript.pyannote[2037].end 10848.78284375
transcript.pyannote[2038].speaker SPEAKER_00
transcript.pyannote[2038].start 10849.08659375
transcript.pyannote[2038].end 10853.17034375
transcript.pyannote[2039].speaker SPEAKER_00
transcript.pyannote[2039].start 10853.27159375
transcript.pyannote[2039].end 10859.14409375
transcript.pyannote[2040].speaker SPEAKER_00
transcript.pyannote[2040].start 10860.12284375
transcript.pyannote[2040].end 10864.08846875
transcript.pyannote[2041].speaker SPEAKER_02
transcript.pyannote[2041].start 10862.73846875
transcript.pyannote[2041].end 10865.21909375
transcript.pyannote[2042].speaker SPEAKER_00
transcript.pyannote[2042].start 10865.21909375
transcript.pyannote[2042].end 10866.34971875
transcript.pyannote[2043].speaker SPEAKER_02
transcript.pyannote[2043].start 10865.23596875
transcript.pyannote[2043].end 10865.25284375
transcript.pyannote[2044].speaker SPEAKER_23
transcript.pyannote[2044].start 10873.09971875
transcript.pyannote[2044].end 10873.52159375
transcript.pyannote[2045].speaker SPEAKER_23
transcript.pyannote[2045].start 10874.07846875
transcript.pyannote[2045].end 10874.17971875
transcript.pyannote[2046].speaker SPEAKER_23
transcript.pyannote[2046].start 10876.91346875
transcript.pyannote[2046].end 10878.78659375
transcript.pyannote[2047].speaker SPEAKER_09
transcript.pyannote[2047].start 10881.89159375
transcript.pyannote[2047].end 10882.51596875
transcript.pyannote[2048].speaker SPEAKER_09
transcript.pyannote[2048].start 10887.57846875
transcript.pyannote[2048].end 10889.13096875
transcript.pyannote[2049].speaker SPEAKER_23
transcript.pyannote[2049].start 10889.38409375
transcript.pyannote[2049].end 10890.09284375
transcript.pyannote[2050].speaker SPEAKER_02
transcript.pyannote[2050].start 10896.01596875
transcript.pyannote[2050].end 10896.48846875
transcript.pyannote[2051].speaker SPEAKER_09
transcript.pyannote[2051].start 10896.70784375
transcript.pyannote[2051].end 10912.82346875
transcript.pyannote[2052].speaker SPEAKER_02
transcript.pyannote[2052].start 10912.43534375
transcript.pyannote[2052].end 10913.85284375
transcript.pyannote[2053].speaker SPEAKER_09
transcript.pyannote[2053].start 10913.29596875
transcript.pyannote[2053].end 10915.75971875
transcript.pyannote[2054].speaker SPEAKER_02
transcript.pyannote[2054].start 10915.75971875
transcript.pyannote[2054].end 10916.11409375
transcript.pyannote[2055].speaker SPEAKER_09
transcript.pyannote[2055].start 10916.38409375
transcript.pyannote[2055].end 10918.54409375
transcript.pyannote[2056].speaker SPEAKER_02
transcript.pyannote[2056].start 10917.98721875
transcript.pyannote[2056].end 10933.05659375
transcript.pyannote[2057].speaker SPEAKER_09
transcript.pyannote[2057].start 10922.12159375
transcript.pyannote[2057].end 10923.04971875
transcript.pyannote[2058].speaker SPEAKER_09
transcript.pyannote[2058].start 10924.39971875
transcript.pyannote[2058].end 10925.96909375
transcript.pyannote[2059].speaker SPEAKER_09
transcript.pyannote[2059].start 10927.09971875
transcript.pyannote[2059].end 10927.45409375
transcript.pyannote[2060].speaker SPEAKER_09
transcript.pyannote[2060].start 10932.61784375
transcript.pyannote[2060].end 10943.48534375
transcript.pyannote[2061].speaker SPEAKER_02
transcript.pyannote[2061].start 10943.73846875
transcript.pyannote[2061].end 10950.18471875
transcript.pyannote[2062].speaker SPEAKER_09
transcript.pyannote[2062].start 10949.40846875
transcript.pyannote[2062].end 10954.30221875
transcript.pyannote[2063].speaker SPEAKER_09
transcript.pyannote[2063].start 10954.47096875
transcript.pyannote[2063].end 10957.12034375
transcript.pyannote[2064].speaker SPEAKER_02
transcript.pyannote[2064].start 10957.96409375
transcript.pyannote[2064].end 10963.04346875
transcript.pyannote[2065].speaker SPEAKER_09
transcript.pyannote[2065].start 10961.35596875
transcript.pyannote[2065].end 10961.59221875
transcript.pyannote[2066].speaker SPEAKER_02
transcript.pyannote[2066].start 10963.80284375
transcript.pyannote[2066].end 10969.16909375
transcript.pyannote[2067].speaker SPEAKER_09
transcript.pyannote[2067].start 10969.16909375
transcript.pyannote[2067].end 10972.15596875
transcript.pyannote[2068].speaker SPEAKER_02
transcript.pyannote[2068].start 10970.16471875
transcript.pyannote[2068].end 10972.29096875
transcript.pyannote[2069].speaker SPEAKER_02
transcript.pyannote[2069].start 10972.45971875
transcript.pyannote[2069].end 10976.18909375
transcript.pyannote[2070].speaker SPEAKER_09
transcript.pyannote[2070].start 10973.03346875
transcript.pyannote[2070].end 10974.16409375
transcript.pyannote[2071].speaker SPEAKER_02
transcript.pyannote[2071].start 10976.39159375
transcript.pyannote[2071].end 10984.32284375
transcript.pyannote[2072].speaker SPEAKER_09
transcript.pyannote[2072].start 10983.24284375
transcript.pyannote[2072].end 10984.33971875
transcript.pyannote[2073].speaker SPEAKER_02
transcript.pyannote[2073].start 10984.67721875
transcript.pyannote[2073].end 10984.91346875
transcript.pyannote[2074].speaker SPEAKER_09
transcript.pyannote[2074].start 10985.08221875
transcript.pyannote[2074].end 11006.17596875
transcript.pyannote[2075].speaker SPEAKER_09
transcript.pyannote[2075].start 11006.64846875
transcript.pyannote[2075].end 11008.84221875
transcript.pyannote[2076].speaker SPEAKER_02
transcript.pyannote[2076].start 11008.53846875
transcript.pyannote[2076].end 11009.82096875
transcript.pyannote[2077].speaker SPEAKER_02
transcript.pyannote[2077].start 11010.22596875
transcript.pyannote[2077].end 11010.86721875
transcript.pyannote[2078].speaker SPEAKER_02
transcript.pyannote[2078].start 11011.17096875
transcript.pyannote[2078].end 11027.35409375
transcript.pyannote[2079].speaker SPEAKER_09
transcript.pyannote[2079].start 11013.51659375
transcript.pyannote[2079].end 11013.90471875
transcript.pyannote[2080].speaker SPEAKER_09
transcript.pyannote[2080].start 11017.80284375
transcript.pyannote[2080].end 11021.11034375
transcript.pyannote[2081].speaker SPEAKER_09
transcript.pyannote[2081].start 11023.74284375
transcript.pyannote[2081].end 11024.14784375
transcript.pyannote[2082].speaker SPEAKER_09
transcript.pyannote[2082].start 11025.53159375
transcript.pyannote[2082].end 11029.02471875
transcript.pyannote[2083].speaker SPEAKER_02
transcript.pyannote[2083].start 11029.21034375
transcript.pyannote[2083].end 11031.40409375
transcript.pyannote[2084].speaker SPEAKER_09
transcript.pyannote[2084].start 11030.79659375
transcript.pyannote[2084].end 11031.85971875
transcript.pyannote[2085].speaker SPEAKER_02
transcript.pyannote[2085].start 11031.55596875
transcript.pyannote[2085].end 11031.58971875
transcript.pyannote[2086].speaker SPEAKER_02
transcript.pyannote[2086].start 11031.60659375
transcript.pyannote[2086].end 11031.69096875
transcript.pyannote[2087].speaker SPEAKER_02
transcript.pyannote[2087].start 11031.75846875
transcript.pyannote[2087].end 11034.66096875
transcript.pyannote[2088].speaker SPEAKER_02
transcript.pyannote[2088].start 11035.26846875
transcript.pyannote[2088].end 11035.75784375
transcript.pyannote[2089].speaker SPEAKER_02
transcript.pyannote[2089].start 11036.04471875
transcript.pyannote[2089].end 11041.34346875
transcript.pyannote[2090].speaker SPEAKER_09
transcript.pyannote[2090].start 11041.34346875
transcript.pyannote[2090].end 11041.64721875
transcript.pyannote[2091].speaker SPEAKER_09
transcript.pyannote[2091].start 11042.22096875
transcript.pyannote[2091].end 11054.01659375
transcript.pyannote[2092].speaker SPEAKER_09
transcript.pyannote[2092].start 11054.60721875
transcript.pyannote[2092].end 11058.69096875
transcript.pyannote[2093].speaker SPEAKER_17
transcript.pyannote[2093].start 11058.69096875
transcript.pyannote[2093].end 11059.04534375
transcript.pyannote[2094].speaker SPEAKER_09
transcript.pyannote[2094].start 11058.99471875
transcript.pyannote[2094].end 11066.25096875
transcript.pyannote[2095].speaker SPEAKER_02
transcript.pyannote[2095].start 11065.72784375
transcript.pyannote[2095].end 11077.57409375
transcript.pyannote[2096].speaker SPEAKER_09
transcript.pyannote[2096].start 11070.41909375
transcript.pyannote[2096].end 11070.75659375
transcript.pyannote[2097].speaker SPEAKER_02
transcript.pyannote[2097].start 11077.64159375
transcript.pyannote[2097].end 11077.65846875
transcript.pyannote[2098].speaker SPEAKER_02
transcript.pyannote[2098].start 11077.70909375
transcript.pyannote[2098].end 11081.82659375
transcript.pyannote[2099].speaker SPEAKER_02
transcript.pyannote[2099].start 11082.18096875
transcript.pyannote[2099].end 11084.52659375
transcript.pyannote[2100].speaker SPEAKER_02
transcript.pyannote[2100].start 11084.91471875
transcript.pyannote[2100].end 11089.77471875
transcript.pyannote[2101].speaker SPEAKER_02
transcript.pyannote[2101].start 11089.97721875
transcript.pyannote[2101].end 11095.44471875
transcript.pyannote[2102].speaker SPEAKER_09
transcript.pyannote[2102].start 11094.01034375
transcript.pyannote[2102].end 11094.53346875
transcript.pyannote[2103].speaker SPEAKER_09
transcript.pyannote[2103].start 11095.14096875
transcript.pyannote[2103].end 11104.20284375
transcript.pyannote[2104].speaker SPEAKER_09
transcript.pyannote[2104].start 11104.82721875
transcript.pyannote[2104].end 11105.33346875
transcript.pyannote[2105].speaker SPEAKER_02
transcript.pyannote[2105].start 11105.63721875
transcript.pyannote[2105].end 11106.76784375
transcript.pyannote[2106].speaker SPEAKER_09
transcript.pyannote[2106].start 11105.83971875
transcript.pyannote[2106].end 11110.12596875
transcript.pyannote[2107].speaker SPEAKER_02
transcript.pyannote[2107].start 11110.41284375
transcript.pyannote[2107].end 11111.93159375
transcript.pyannote[2108].speaker SPEAKER_09
transcript.pyannote[2108].start 11112.30284375
transcript.pyannote[2108].end 11113.24784375
transcript.pyannote[2109].speaker SPEAKER_09
transcript.pyannote[2109].start 11113.87221875
transcript.pyannote[2109].end 11115.03659375
transcript.pyannote[2110].speaker SPEAKER_09
transcript.pyannote[2110].start 11115.23909375
transcript.pyannote[2110].end 11115.86346875
transcript.pyannote[2111].speaker SPEAKER_09
transcript.pyannote[2111].start 11116.16721875
transcript.pyannote[2111].end 11119.91346875
transcript.pyannote[2112].speaker SPEAKER_02
transcript.pyannote[2112].start 11120.03159375
transcript.pyannote[2112].end 11122.64721875
transcript.pyannote[2113].speaker SPEAKER_09
transcript.pyannote[2113].start 11121.55034375
transcript.pyannote[2113].end 11122.03971875
transcript.pyannote[2114].speaker SPEAKER_09
transcript.pyannote[2114].start 11122.68096875
transcript.pyannote[2114].end 11123.15346875
transcript.pyannote[2115].speaker SPEAKER_09
transcript.pyannote[2115].start 11123.33909375
transcript.pyannote[2115].end 11126.30909375
transcript.pyannote[2116].speaker SPEAKER_09
transcript.pyannote[2116].start 11126.76471875
transcript.pyannote[2116].end 11128.31721875
transcript.pyannote[2117].speaker SPEAKER_02
transcript.pyannote[2117].start 11128.43534375
transcript.pyannote[2117].end 11133.43034375
transcript.pyannote[2118].speaker SPEAKER_09
transcript.pyannote[2118].start 11134.00409375
transcript.pyannote[2118].end 11148.60096875
transcript.pyannote[2119].speaker SPEAKER_02
transcript.pyannote[2119].start 11134.12221875
transcript.pyannote[2119].end 11135.82659375
transcript.pyannote[2120].speaker SPEAKER_02
transcript.pyannote[2120].start 11148.60096875
transcript.pyannote[2120].end 11157.05534375
transcript.pyannote[2121].speaker SPEAKER_09
transcript.pyannote[2121].start 11153.02221875
transcript.pyannote[2121].end 11153.30909375
transcript.pyannote[2122].speaker SPEAKER_09
transcript.pyannote[2122].start 11156.29596875
transcript.pyannote[2122].end 11160.10971875
transcript.pyannote[2123].speaker SPEAKER_02
transcript.pyannote[2123].start 11158.87784375
transcript.pyannote[2123].end 11164.24409375
transcript.pyannote[2124].speaker SPEAKER_09
transcript.pyannote[2124].start 11164.37909375
transcript.pyannote[2124].end 11175.02721875
transcript.pyannote[2125].speaker SPEAKER_09
transcript.pyannote[2125].start 11175.73596875
transcript.pyannote[2125].end 11200.49159375
transcript.pyannote[2126].speaker SPEAKER_02
transcript.pyannote[2126].start 11200.17096875
transcript.pyannote[2126].end 11203.76534375
transcript.pyannote[2127].speaker SPEAKER_09
transcript.pyannote[2127].start 11202.68534375
transcript.pyannote[2127].end 11203.17471875
transcript.pyannote[2128].speaker SPEAKER_09
transcript.pyannote[2128].start 11203.36034375
transcript.pyannote[2128].end 11213.40096875
transcript.pyannote[2129].speaker SPEAKER_02
transcript.pyannote[2129].start 11213.40096875
transcript.pyannote[2129].end 11213.43471875
transcript.pyannote[2130].speaker SPEAKER_02
transcript.pyannote[2130].start 11213.75534375
transcript.pyannote[2130].end 11217.80534375
transcript.pyannote[2131].speaker SPEAKER_02
transcript.pyannote[2131].start 11218.39596875
transcript.pyannote[2131].end 11219.76284375
transcript.pyannote[2132].speaker SPEAKER_09
transcript.pyannote[2132].start 11219.93159375
transcript.pyannote[2132].end 11221.48409375
transcript.pyannote[2133].speaker SPEAKER_09
transcript.pyannote[2133].start 11221.68659375
transcript.pyannote[2133].end 11222.85096875
transcript.pyannote[2134].speaker SPEAKER_09
transcript.pyannote[2134].start 11223.13784375
transcript.pyannote[2134].end 11228.31846875
transcript.pyannote[2135].speaker SPEAKER_09
transcript.pyannote[2135].start 11228.50409375
transcript.pyannote[2135].end 11239.82721875
transcript.pyannote[2136].speaker SPEAKER_09
transcript.pyannote[2136].start 11240.26596875
transcript.pyannote[2136].end 11241.90284375
transcript.pyannote[2137].speaker SPEAKER_09
transcript.pyannote[2137].start 11242.13909375
transcript.pyannote[2137].end 11247.26909375
transcript.pyannote[2138].speaker SPEAKER_09
transcript.pyannote[2138].start 11247.47159375
transcript.pyannote[2138].end 11249.12534375
transcript.pyannote[2139].speaker SPEAKER_09
transcript.pyannote[2139].start 11249.95221875
transcript.pyannote[2139].end 11251.52159375
transcript.pyannote[2140].speaker SPEAKER_09
transcript.pyannote[2140].start 11251.77471875
transcript.pyannote[2140].end 11260.29659375
transcript.pyannote[2141].speaker SPEAKER_09
transcript.pyannote[2141].start 11260.68471875
transcript.pyannote[2141].end 11267.80596875
transcript.pyannote[2142].speaker SPEAKER_09
transcript.pyannote[2142].start 11268.51471875
transcript.pyannote[2142].end 11270.62409375
transcript.pyannote[2143].speaker SPEAKER_02
transcript.pyannote[2143].start 11270.99534375
transcript.pyannote[2143].end 11276.05784375
transcript.pyannote[2144].speaker SPEAKER_02
transcript.pyannote[2144].start 11276.37846875
transcript.pyannote[2144].end 11280.73221875
transcript.pyannote[2145].speaker SPEAKER_09
transcript.pyannote[2145].start 11280.44534375
transcript.pyannote[2145].end 11281.00221875
transcript.pyannote[2146].speaker SPEAKER_09
transcript.pyannote[2146].start 11281.22159375
transcript.pyannote[2146].end 11288.03909375
transcript.pyannote[2147].speaker SPEAKER_09
transcript.pyannote[2147].start 11288.22471875
transcript.pyannote[2147].end 11289.50721875
transcript.pyannote[2148].speaker SPEAKER_09
transcript.pyannote[2148].start 11289.79409375
transcript.pyannote[2148].end 11300.40846875
transcript.pyannote[2149].speaker SPEAKER_09
transcript.pyannote[2149].start 11301.06659375
transcript.pyannote[2149].end 11308.12034375
transcript.pyannote[2150].speaker SPEAKER_09
transcript.pyannote[2150].start 11308.49159375
transcript.pyannote[2150].end 11309.26784375
transcript.pyannote[2151].speaker SPEAKER_02
transcript.pyannote[2151].start 11309.35221875
transcript.pyannote[2151].end 11310.11159375
transcript.pyannote[2152].speaker SPEAKER_02
transcript.pyannote[2152].start 11310.16221875
transcript.pyannote[2152].end 11310.17909375
transcript.pyannote[2153].speaker SPEAKER_09
transcript.pyannote[2153].start 11310.17909375
transcript.pyannote[2153].end 11310.43221875
transcript.pyannote[2154].speaker SPEAKER_09
transcript.pyannote[2154].start 11310.51659375
transcript.pyannote[2154].end 11310.95534375
transcript.pyannote[2155].speaker SPEAKER_23
transcript.pyannote[2155].start 11318.14409375
transcript.pyannote[2155].end 11320.21971875
transcript.pyannote[2156].speaker SPEAKER_17
transcript.pyannote[2156].start 11323.94909375
transcript.pyannote[2156].end 11324.03346875
transcript.pyannote[2157].speaker SPEAKER_08
transcript.pyannote[2157].start 11330.17596875
transcript.pyannote[2157].end 11332.92659375
transcript.pyannote[2158].speaker SPEAKER_23
transcript.pyannote[2158].start 11333.12909375
transcript.pyannote[2158].end 11333.87159375
transcript.pyannote[2159].speaker SPEAKER_02
transcript.pyannote[2159].start 11339.67659375
transcript.pyannote[2159].end 11340.09846875
transcript.pyannote[2160].speaker SPEAKER_08
transcript.pyannote[2160].start 11340.75659375
transcript.pyannote[2160].end 11341.27971875
transcript.pyannote[2161].speaker SPEAKER_08
transcript.pyannote[2161].start 11341.95471875
transcript.pyannote[2161].end 11343.42284375
transcript.pyannote[2162].speaker SPEAKER_08
transcript.pyannote[2162].start 11343.54096875
transcript.pyannote[2162].end 11347.28721875
transcript.pyannote[2163].speaker SPEAKER_08
transcript.pyannote[2163].start 11347.72596875
transcript.pyannote[2163].end 11349.83534375
transcript.pyannote[2164].speaker SPEAKER_08
transcript.pyannote[2164].start 11350.08846875
transcript.pyannote[2164].end 11352.72096875
transcript.pyannote[2165].speaker SPEAKER_08
transcript.pyannote[2165].start 11353.31159375
transcript.pyannote[2165].end 11354.34096875
transcript.pyannote[2166].speaker SPEAKER_08
transcript.pyannote[2166].start 11355.08346875
transcript.pyannote[2166].end 11356.24784375
transcript.pyannote[2167].speaker SPEAKER_08
transcript.pyannote[2167].start 11356.60221875
transcript.pyannote[2167].end 11359.75784375
transcript.pyannote[2168].speaker SPEAKER_08
transcript.pyannote[2168].start 11360.36534375
transcript.pyannote[2168].end 11361.20909375
transcript.pyannote[2169].speaker SPEAKER_08
transcript.pyannote[2169].start 11362.23846875
transcript.pyannote[2169].end 11366.52471875
transcript.pyannote[2170].speaker SPEAKER_08
transcript.pyannote[2170].start 11366.94659375
transcript.pyannote[2170].end 11367.85784375
transcript.pyannote[2171].speaker SPEAKER_08
transcript.pyannote[2171].start 11368.24596875
transcript.pyannote[2171].end 11369.71409375
transcript.pyannote[2172].speaker SPEAKER_08
transcript.pyannote[2172].start 11369.91659375
transcript.pyannote[2172].end 11372.63346875
transcript.pyannote[2173].speaker SPEAKER_08
transcript.pyannote[2173].start 11372.90346875
transcript.pyannote[2173].end 11374.15221875
transcript.pyannote[2174].speaker SPEAKER_08
transcript.pyannote[2174].start 11374.43909375
transcript.pyannote[2174].end 11376.66659375
transcript.pyannote[2175].speaker SPEAKER_08
transcript.pyannote[2175].start 11377.12221875
transcript.pyannote[2175].end 11379.04596875
transcript.pyannote[2176].speaker SPEAKER_08
transcript.pyannote[2176].start 11379.11346875
transcript.pyannote[2176].end 11408.07096875
transcript.pyannote[2177].speaker SPEAKER_00
transcript.pyannote[2177].start 11403.21096875
transcript.pyannote[2177].end 11403.39659375
transcript.pyannote[2178].speaker SPEAKER_17
transcript.pyannote[2178].start 11403.39659375
transcript.pyannote[2178].end 11403.54846875
transcript.pyannote[2179].speaker SPEAKER_00
transcript.pyannote[2179].start 11403.54846875
transcript.pyannote[2179].end 11403.75096875
transcript.pyannote[2180].speaker SPEAKER_08
transcript.pyannote[2180].start 11408.15534375
transcript.pyannote[2180].end 11428.94534375
transcript.pyannote[2181].speaker SPEAKER_08
transcript.pyannote[2181].start 11429.56971875
transcript.pyannote[2181].end 11432.18534375
transcript.pyannote[2182].speaker SPEAKER_08
transcript.pyannote[2182].start 11432.37096875
transcript.pyannote[2182].end 11435.67846875
transcript.pyannote[2183].speaker SPEAKER_08
transcript.pyannote[2183].start 11436.28596875
transcript.pyannote[2183].end 11438.02409375
transcript.pyannote[2184].speaker SPEAKER_08
transcript.pyannote[2184].start 11438.66534375
transcript.pyannote[2184].end 11442.64784375
transcript.pyannote[2185].speaker SPEAKER_08
transcript.pyannote[2185].start 11443.50846875
transcript.pyannote[2185].end 11444.99346875
transcript.pyannote[2186].speaker SPEAKER_08
transcript.pyannote[2186].start 11445.22971875
transcript.pyannote[2186].end 11448.38534375
transcript.pyannote[2187].speaker SPEAKER_08
transcript.pyannote[2187].start 11448.72284375
transcript.pyannote[2187].end 11479.72221875
transcript.pyannote[2188].speaker SPEAKER_08
transcript.pyannote[2188].start 11480.04284375
transcript.pyannote[2188].end 11487.65346875
transcript.pyannote[2189].speaker SPEAKER_08
transcript.pyannote[2189].start 11487.87284375
transcript.pyannote[2189].end 11502.63846875
transcript.pyannote[2190].speaker SPEAKER_08
transcript.pyannote[2190].start 11503.34721875
transcript.pyannote[2190].end 11509.23659375
transcript.pyannote[2191].speaker SPEAKER_02
transcript.pyannote[2191].start 11509.99596875
transcript.pyannote[2191].end 11519.12534375
transcript.pyannote[2192].speaker SPEAKER_02
transcript.pyannote[2192].start 11519.29409375
transcript.pyannote[2192].end 11522.12909375
transcript.pyannote[2193].speaker SPEAKER_08
transcript.pyannote[2193].start 11522.12909375
transcript.pyannote[2193].end 11522.16284375
transcript.pyannote[2194].speaker SPEAKER_17
transcript.pyannote[2194].start 11522.16284375
transcript.pyannote[2194].end 11522.39909375
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 11522.39909375
transcript.pyannote[2195].end 11522.43284375
transcript.pyannote[2196].speaker SPEAKER_02
transcript.pyannote[2196].start 11522.43284375
transcript.pyannote[2196].end 11525.84159375
transcript.pyannote[2197].speaker SPEAKER_08
transcript.pyannote[2197].start 11522.44971875
transcript.pyannote[2197].end 11522.48346875
transcript.pyannote[2198].speaker SPEAKER_02
transcript.pyannote[2198].start 11526.87096875
transcript.pyannote[2198].end 11530.73534375
transcript.pyannote[2199].speaker SPEAKER_02
transcript.pyannote[2199].start 11531.52846875
transcript.pyannote[2199].end 11534.46471875
transcript.pyannote[2200].speaker SPEAKER_02
transcript.pyannote[2200].start 11534.68409375
transcript.pyannote[2200].end 11549.56784375
transcript.pyannote[2201].speaker SPEAKER_24
transcript.pyannote[2201].start 11534.93721875
transcript.pyannote[2201].end 11535.32534375
transcript.pyannote[2202].speaker SPEAKER_08
transcript.pyannote[2202].start 11549.56784375
transcript.pyannote[2202].end 11556.84096875
transcript.pyannote[2203].speaker SPEAKER_08
transcript.pyannote[2203].start 11557.27971875
transcript.pyannote[2203].end 11558.44409375
transcript.pyannote[2204].speaker SPEAKER_08
transcript.pyannote[2204].start 11558.86596875
transcript.pyannote[2204].end 11560.58721875
transcript.pyannote[2205].speaker SPEAKER_08
transcript.pyannote[2205].start 11560.77284375
transcript.pyannote[2205].end 11561.34659375
transcript.pyannote[2206].speaker SPEAKER_08
transcript.pyannote[2206].start 11561.81909375
transcript.pyannote[2206].end 11575.20096875
transcript.pyannote[2207].speaker SPEAKER_02
transcript.pyannote[2207].start 11575.63971875
transcript.pyannote[2207].end 11585.39346875
transcript.pyannote[2208].speaker SPEAKER_08
transcript.pyannote[2208].start 11576.14596875
transcript.pyannote[2208].end 11576.63534375
transcript.pyannote[2209].speaker SPEAKER_08
transcript.pyannote[2209].start 11581.91721875
transcript.pyannote[2209].end 11582.71034375
transcript.pyannote[2210].speaker SPEAKER_02
transcript.pyannote[2210].start 11585.74784375
transcript.pyannote[2210].end 11593.47659375
transcript.pyannote[2211].speaker SPEAKER_08
transcript.pyannote[2211].start 11586.84471875
transcript.pyannote[2211].end 11587.28346875
transcript.pyannote[2212].speaker SPEAKER_24
transcript.pyannote[2212].start 11587.28346875
transcript.pyannote[2212].end 11587.30034375
transcript.pyannote[2213].speaker SPEAKER_08
transcript.pyannote[2213].start 11593.00409375
transcript.pyannote[2213].end 11601.39096875
transcript.pyannote[2214].speaker SPEAKER_08
transcript.pyannote[2214].start 11601.82971875
transcript.pyannote[2214].end 11613.15284375
transcript.pyannote[2215].speaker SPEAKER_08
transcript.pyannote[2215].start 11613.38909375
transcript.pyannote[2215].end 11616.35909375
transcript.pyannote[2216].speaker SPEAKER_08
transcript.pyannote[2216].start 11616.83159375
transcript.pyannote[2216].end 11622.34971875
transcript.pyannote[2217].speaker SPEAKER_08
transcript.pyannote[2217].start 11622.87284375
transcript.pyannote[2217].end 11624.27346875
transcript.pyannote[2218].speaker SPEAKER_08
transcript.pyannote[2218].start 11624.71221875
transcript.pyannote[2218].end 11628.34034375
transcript.pyannote[2219].speaker SPEAKER_08
transcript.pyannote[2219].start 11628.49221875
transcript.pyannote[2219].end 11629.90971875
transcript.pyannote[2220].speaker SPEAKER_08
transcript.pyannote[2220].start 11630.44971875
transcript.pyannote[2220].end 11634.49971875
transcript.pyannote[2221].speaker SPEAKER_08
transcript.pyannote[2221].start 11635.27596875
transcript.pyannote[2221].end 11636.00159375
transcript.pyannote[2222].speaker SPEAKER_08
transcript.pyannote[2222].start 11636.40659375
transcript.pyannote[2222].end 11637.38534375
transcript.pyannote[2223].speaker SPEAKER_08
transcript.pyannote[2223].start 11638.21221875
transcript.pyannote[2223].end 11639.34284375
transcript.pyannote[2224].speaker SPEAKER_08
transcript.pyannote[2224].start 11639.76471875
transcript.pyannote[2224].end 11640.20346875
transcript.pyannote[2225].speaker SPEAKER_08
transcript.pyannote[2225].start 11640.37221875
transcript.pyannote[2225].end 11642.71784375
transcript.pyannote[2226].speaker SPEAKER_08
transcript.pyannote[2226].start 11643.19034375
transcript.pyannote[2226].end 11644.92846875
transcript.pyannote[2227].speaker SPEAKER_08
transcript.pyannote[2227].start 11645.60346875
transcript.pyannote[2227].end 11648.08409375
transcript.pyannote[2228].speaker SPEAKER_08
transcript.pyannote[2228].start 11648.32034375
transcript.pyannote[2228].end 11650.78409375
transcript.pyannote[2229].speaker SPEAKER_08
transcript.pyannote[2229].start 11650.96971875
transcript.pyannote[2229].end 11652.70784375
transcript.pyannote[2230].speaker SPEAKER_08
transcript.pyannote[2230].start 11653.23096875
transcript.pyannote[2230].end 11654.81721875
transcript.pyannote[2231].speaker SPEAKER_08
transcript.pyannote[2231].start 11655.39096875
transcript.pyannote[2231].end 11656.16721875
transcript.pyannote[2232].speaker SPEAKER_08
transcript.pyannote[2232].start 11656.72409375
transcript.pyannote[2232].end 11658.27659375
transcript.pyannote[2233].speaker SPEAKER_02
transcript.pyannote[2233].start 11658.12471875
transcript.pyannote[2233].end 11660.36909375
transcript.pyannote[2234].speaker SPEAKER_17
transcript.pyannote[2234].start 11660.09909375
transcript.pyannote[2234].end 11660.14971875
transcript.pyannote[2235].speaker SPEAKER_17
transcript.pyannote[2235].start 11660.36909375
transcript.pyannote[2235].end 11660.38596875
transcript.pyannote[2236].speaker SPEAKER_02
transcript.pyannote[2236].start 11660.75721875
transcript.pyannote[2236].end 11671.92846875
transcript.pyannote[2237].speaker SPEAKER_08
transcript.pyannote[2237].start 11672.53596875
transcript.pyannote[2237].end 11675.55659375
transcript.pyannote[2238].speaker SPEAKER_08
transcript.pyannote[2238].start 11675.70846875
transcript.pyannote[2238].end 11678.83034375
transcript.pyannote[2239].speaker SPEAKER_08
transcript.pyannote[2239].start 11679.48846875
transcript.pyannote[2239].end 11681.54721875
transcript.pyannote[2240].speaker SPEAKER_08
transcript.pyannote[2240].start 11681.88471875
transcript.pyannote[2240].end 11690.45721875
transcript.pyannote[2241].speaker SPEAKER_08
transcript.pyannote[2241].start 11691.08159375
transcript.pyannote[2241].end 11703.43409375
transcript.pyannote[2242].speaker SPEAKER_08
transcript.pyannote[2242].start 11703.63659375
transcript.pyannote[2242].end 11704.39596875
transcript.pyannote[2243].speaker SPEAKER_08
transcript.pyannote[2243].start 11704.90221875
transcript.pyannote[2243].end 11718.25034375
transcript.pyannote[2244].speaker SPEAKER_08
transcript.pyannote[2244].start 11719.36409375
transcript.pyannote[2244].end 11720.95034375
transcript.pyannote[2245].speaker SPEAKER_02
transcript.pyannote[2245].start 11720.95034375
transcript.pyannote[2245].end 11733.97784375
transcript.pyannote[2246].speaker SPEAKER_24
transcript.pyannote[2246].start 11725.06784375
transcript.pyannote[2246].end 11725.37159375
transcript.pyannote[2247].speaker SPEAKER_08
transcript.pyannote[2247].start 11733.42096875
transcript.pyannote[2247].end 11737.57221875
transcript.pyannote[2248].speaker SPEAKER_08
transcript.pyannote[2248].start 11738.12909375
transcript.pyannote[2248].end 11741.74034375
transcript.pyannote[2249].speaker SPEAKER_08
transcript.pyannote[2249].start 11741.99346875
transcript.pyannote[2249].end 11744.60909375
transcript.pyannote[2250].speaker SPEAKER_08
transcript.pyannote[2250].start 11745.52034375
transcript.pyannote[2250].end 11751.30846875
transcript.pyannote[2251].speaker SPEAKER_08
transcript.pyannote[2251].start 11751.37596875
transcript.pyannote[2251].end 11759.89784375
transcript.pyannote[2252].speaker SPEAKER_08
transcript.pyannote[2252].start 11760.20159375
transcript.pyannote[2252].end 11761.39971875
transcript.pyannote[2253].speaker SPEAKER_08
transcript.pyannote[2253].start 11762.29409375
transcript.pyannote[2253].end 11767.15409375
transcript.pyannote[2254].speaker SPEAKER_08
transcript.pyannote[2254].start 11767.84596875
transcript.pyannote[2254].end 11773.19534375
transcript.pyannote[2255].speaker SPEAKER_08
transcript.pyannote[2255].start 11774.10659375
transcript.pyannote[2255].end 11790.66096875
transcript.pyannote[2256].speaker SPEAKER_08
transcript.pyannote[2256].start 11791.58909375
transcript.pyannote[2256].end 11792.34846875
transcript.pyannote[2257].speaker SPEAKER_08
transcript.pyannote[2257].start 11794.67721875
transcript.pyannote[2257].end 11798.35596875
transcript.pyannote[2258].speaker SPEAKER_00
transcript.pyannote[2258].start 11794.91346875
transcript.pyannote[2258].end 11795.11596875
transcript.pyannote[2259].speaker SPEAKER_08
transcript.pyannote[2259].start 11798.67659375
transcript.pyannote[2259].end 11800.88721875
transcript.pyannote[2260].speaker SPEAKER_08
transcript.pyannote[2260].start 11801.30909375
transcript.pyannote[2260].end 11807.82284375
transcript.pyannote[2261].speaker SPEAKER_08
transcript.pyannote[2261].start 11808.37971875
transcript.pyannote[2261].end 11815.36596875
transcript.pyannote[2262].speaker SPEAKER_08
transcript.pyannote[2262].start 11815.77096875
transcript.pyannote[2262].end 11817.30659375
transcript.pyannote[2263].speaker SPEAKER_08
transcript.pyannote[2263].start 11817.71159375
transcript.pyannote[2263].end 11822.87534375
transcript.pyannote[2264].speaker SPEAKER_08
transcript.pyannote[2264].start 11823.22971875
transcript.pyannote[2264].end 11824.30971875
transcript.pyannote[2265].speaker SPEAKER_08
transcript.pyannote[2265].start 11825.10284375
transcript.pyannote[2265].end 11827.33034375
transcript.pyannote[2266].speaker SPEAKER_08
transcript.pyannote[2266].start 11827.80284375
transcript.pyannote[2266].end 11832.22409375
transcript.pyannote[2267].speaker SPEAKER_08
transcript.pyannote[2267].start 11832.69659375
transcript.pyannote[2267].end 11839.64909375
transcript.pyannote[2268].speaker SPEAKER_08
transcript.pyannote[2268].start 11840.47596875
transcript.pyannote[2268].end 11841.52221875
transcript.pyannote[2269].speaker SPEAKER_08
transcript.pyannote[2269].start 11842.06221875
transcript.pyannote[2269].end 11842.43346875
transcript.pyannote[2270].speaker SPEAKER_08
transcript.pyannote[2270].start 11843.27721875
transcript.pyannote[2270].end 11843.91846875
transcript.pyannote[2271].speaker SPEAKER_23
transcript.pyannote[2271].start 11854.56659375
transcript.pyannote[2271].end 11859.42659375
transcript.pyannote[2272].speaker SPEAKER_15
transcript.pyannote[2272].start 11866.26096875
transcript.pyannote[2272].end 11867.03721875
transcript.pyannote[2273].speaker SPEAKER_23
transcript.pyannote[2273].start 11867.37471875
transcript.pyannote[2273].end 11868.11721875
transcript.pyannote[2274].speaker SPEAKER_15
transcript.pyannote[2274].start 11871.23909375
transcript.pyannote[2274].end 11871.44159375
transcript.pyannote[2275].speaker SPEAKER_24
transcript.pyannote[2275].start 11874.15846875
transcript.pyannote[2275].end 11874.56346875
transcript.pyannote[2276].speaker SPEAKER_15
transcript.pyannote[2276].start 11874.95159375
transcript.pyannote[2276].end 11876.01471875
transcript.pyannote[2277].speaker SPEAKER_15
transcript.pyannote[2277].start 11876.58846875
transcript.pyannote[2277].end 11882.68034375
transcript.pyannote[2278].speaker SPEAKER_15
transcript.pyannote[2278].start 11883.03471875
transcript.pyannote[2278].end 11886.25784375
transcript.pyannote[2279].speaker SPEAKER_15
transcript.pyannote[2279].start 11886.54471875
transcript.pyannote[2279].end 11892.63659375
transcript.pyannote[2280].speaker SPEAKER_15
transcript.pyannote[2280].start 11893.42971875
transcript.pyannote[2280].end 11894.00346875
transcript.pyannote[2281].speaker SPEAKER_15
transcript.pyannote[2281].start 11894.29034375
transcript.pyannote[2281].end 11899.28534375
transcript.pyannote[2282].speaker SPEAKER_15
transcript.pyannote[2282].start 11901.44534375
transcript.pyannote[2282].end 11902.76159375
transcript.pyannote[2283].speaker SPEAKER_15
transcript.pyannote[2283].start 11903.14971875
transcript.pyannote[2283].end 11911.48596875
transcript.pyannote[2284].speaker SPEAKER_15
transcript.pyannote[2284].start 11912.76846875
transcript.pyannote[2284].end 11916.43034375
transcript.pyannote[2285].speaker SPEAKER_02
transcript.pyannote[2285].start 11918.08409375
transcript.pyannote[2285].end 11919.85596875
transcript.pyannote[2286].speaker SPEAKER_15
transcript.pyannote[2286].start 11919.85596875
transcript.pyannote[2286].end 11919.87284375
transcript.pyannote[2287].speaker SPEAKER_15
transcript.pyannote[2287].start 11920.07534375
transcript.pyannote[2287].end 11920.29471875
transcript.pyannote[2288].speaker SPEAKER_15
transcript.pyannote[2288].start 11921.27346875
transcript.pyannote[2288].end 11921.57721875
transcript.pyannote[2289].speaker SPEAKER_15
transcript.pyannote[2289].start 11922.08346875
transcript.pyannote[2289].end 11929.12034375
transcript.pyannote[2290].speaker SPEAKER_15
transcript.pyannote[2290].start 11929.59284375
transcript.pyannote[2290].end 11976.47159375
transcript.pyannote[2291].speaker SPEAKER_15
transcript.pyannote[2291].start 11976.80909375
transcript.pyannote[2291].end 11981.24721875
transcript.pyannote[2292].speaker SPEAKER_02
transcript.pyannote[2292].start 11982.61409375
transcript.pyannote[2292].end 11982.96846875
transcript.pyannote[2293].speaker SPEAKER_02
transcript.pyannote[2293].start 11983.33971875
transcript.pyannote[2293].end 11987.49096875
transcript.pyannote[2294].speaker SPEAKER_15
transcript.pyannote[2294].start 11984.43659375
transcript.pyannote[2294].end 11984.79096875
transcript.pyannote[2295].speaker SPEAKER_15
transcript.pyannote[2295].start 11987.49096875
transcript.pyannote[2295].end 11995.13534375
transcript.pyannote[2296].speaker SPEAKER_15
transcript.pyannote[2296].start 11995.60784375
transcript.pyannote[2296].end 12002.76284375
transcript.pyannote[2297].speaker SPEAKER_15
transcript.pyannote[2297].start 12003.26909375
transcript.pyannote[2297].end 12009.00659375
transcript.pyannote[2298].speaker SPEAKER_15
transcript.pyannote[2298].start 12009.14159375
transcript.pyannote[2298].end 12009.39471875
transcript.pyannote[2299].speaker SPEAKER_15
transcript.pyannote[2299].start 12009.74909375
transcript.pyannote[2299].end 12012.71909375
transcript.pyannote[2300].speaker SPEAKER_02
transcript.pyannote[2300].start 12014.23784375
transcript.pyannote[2300].end 12014.50784375
transcript.pyannote[2301].speaker SPEAKER_02
transcript.pyannote[2301].start 12014.72721875
transcript.pyannote[2301].end 12018.82784375
transcript.pyannote[2302].speaker SPEAKER_15
transcript.pyannote[2302].start 12016.56659375
transcript.pyannote[2302].end 12017.81534375
transcript.pyannote[2303].speaker SPEAKER_15
transcript.pyannote[2303].start 12018.81096875
transcript.pyannote[2303].end 12026.57346875
transcript.pyannote[2304].speaker SPEAKER_15
transcript.pyannote[2304].start 12026.99534375
transcript.pyannote[2304].end 12028.86846875
transcript.pyannote[2305].speaker SPEAKER_02
transcript.pyannote[2305].start 12030.75846875
transcript.pyannote[2305].end 12038.60534375
transcript.pyannote[2306].speaker SPEAKER_15
transcript.pyannote[2306].start 12034.67346875
transcript.pyannote[2306].end 12035.16284375
transcript.pyannote[2307].speaker SPEAKER_15
transcript.pyannote[2307].start 12038.85846875
transcript.pyannote[2307].end 12061.20096875
transcript.pyannote[2308].speaker SPEAKER_15
transcript.pyannote[2308].start 12061.58909375
transcript.pyannote[2308].end 12065.84159375
transcript.pyannote[2309].speaker SPEAKER_15
transcript.pyannote[2309].start 12066.24659375
transcript.pyannote[2309].end 12068.59221875
transcript.pyannote[2310].speaker SPEAKER_02
transcript.pyannote[2310].start 12069.84096875
transcript.pyannote[2310].end 12070.04346875
transcript.pyannote[2311].speaker SPEAKER_02
transcript.pyannote[2311].start 12072.05159375
transcript.pyannote[2311].end 12082.12596875
transcript.pyannote[2312].speaker SPEAKER_02
transcript.pyannote[2312].start 12082.26096875
transcript.pyannote[2312].end 12084.85971875
transcript.pyannote[2313].speaker SPEAKER_15
transcript.pyannote[2313].start 12084.85971875
transcript.pyannote[2313].end 12109.58159375
transcript.pyannote[2314].speaker SPEAKER_02
transcript.pyannote[2314].start 12111.13409375
transcript.pyannote[2314].end 12117.36096875
transcript.pyannote[2315].speaker SPEAKER_02
transcript.pyannote[2315].start 12117.42846875
transcript.pyannote[2315].end 12119.90909375
transcript.pyannote[2316].speaker SPEAKER_15
transcript.pyannote[2316].start 12120.16221875
transcript.pyannote[2316].end 12143.02784375
transcript.pyannote[2317].speaker SPEAKER_15
transcript.pyannote[2317].start 12143.44971875
transcript.pyannote[2317].end 12146.85846875
transcript.pyannote[2318].speaker SPEAKER_15
transcript.pyannote[2318].start 12146.99346875
transcript.pyannote[2318].end 12151.97159375
transcript.pyannote[2319].speaker SPEAKER_15
transcript.pyannote[2319].start 12152.47784375
transcript.pyannote[2319].end 12157.57409375
transcript.pyannote[2320].speaker SPEAKER_15
transcript.pyannote[2320].start 12158.21534375
transcript.pyannote[2320].end 12159.04221875
transcript.pyannote[2321].speaker SPEAKER_15
transcript.pyannote[2321].start 12160.24034375
transcript.pyannote[2321].end 12171.69846875
transcript.pyannote[2322].speaker SPEAKER_15
transcript.pyannote[2322].start 12172.60971875
transcript.pyannote[2322].end 12179.61284375
transcript.pyannote[2323].speaker SPEAKER_15
transcript.pyannote[2323].start 12179.98409375
transcript.pyannote[2323].end 12201.21284375
transcript.pyannote[2324].speaker SPEAKER_14
transcript.pyannote[2324].start 12201.33096875
transcript.pyannote[2324].end 12201.87096875
transcript.pyannote[2325].speaker SPEAKER_23
transcript.pyannote[2325].start 12209.63346875
transcript.pyannote[2325].end 12211.38846875
transcript.pyannote[2326].speaker SPEAKER_14
transcript.pyannote[2326].start 12218.88096875
transcript.pyannote[2326].end 12220.34909375
transcript.pyannote[2327].speaker SPEAKER_14
transcript.pyannote[2327].start 12220.50096875
transcript.pyannote[2327].end 12221.73284375
transcript.pyannote[2328].speaker SPEAKER_23
transcript.pyannote[2328].start 12222.07034375
transcript.pyannote[2328].end 12222.81284375
transcript.pyannote[2329].speaker SPEAKER_14
transcript.pyannote[2329].start 12230.03534375
transcript.pyannote[2329].end 12230.57534375
transcript.pyannote[2330].speaker SPEAKER_14
transcript.pyannote[2330].start 12230.84534375
transcript.pyannote[2330].end 12248.68221875
transcript.pyannote[2331].speaker SPEAKER_14
transcript.pyannote[2331].start 12249.37409375
transcript.pyannote[2331].end 12250.65659375
transcript.pyannote[2332].speaker SPEAKER_14
transcript.pyannote[2332].start 12251.02784375
transcript.pyannote[2332].end 12254.75721875
transcript.pyannote[2333].speaker SPEAKER_14
transcript.pyannote[2333].start 12254.99346875
transcript.pyannote[2333].end 12257.20409375
transcript.pyannote[2334].speaker SPEAKER_02
transcript.pyannote[2334].start 12258.26721875
transcript.pyannote[2334].end 12261.97971875
transcript.pyannote[2335].speaker SPEAKER_14
transcript.pyannote[2335].start 12261.97971875
transcript.pyannote[2335].end 12262.31721875
transcript.pyannote[2336].speaker SPEAKER_02
transcript.pyannote[2336].start 12263.00909375
transcript.pyannote[2336].end 12264.02159375
transcript.pyannote[2337].speaker SPEAKER_14
transcript.pyannote[2337].start 12263.12721875
transcript.pyannote[2337].end 12266.13096875
transcript.pyannote[2338].speaker SPEAKER_02
transcript.pyannote[2338].start 12266.46846875
transcript.pyannote[2338].end 12270.38346875
transcript.pyannote[2339].speaker SPEAKER_14
transcript.pyannote[2339].start 12270.55221875
transcript.pyannote[2339].end 12271.51409375
transcript.pyannote[2340].speaker SPEAKER_14
transcript.pyannote[2340].start 12271.78409375
transcript.pyannote[2340].end 12273.75846875
transcript.pyannote[2341].speaker SPEAKER_14
transcript.pyannote[2341].start 12274.06221875
transcript.pyannote[2341].end 12277.67346875
transcript.pyannote[2342].speaker SPEAKER_14
transcript.pyannote[2342].start 12278.12909375
transcript.pyannote[2342].end 12279.05721875
transcript.pyannote[2343].speaker SPEAKER_14
transcript.pyannote[2343].start 12279.22596875
transcript.pyannote[2343].end 12280.03596875
transcript.pyannote[2344].speaker SPEAKER_02
transcript.pyannote[2344].start 12279.95159375
transcript.pyannote[2344].end 12281.09909375
transcript.pyannote[2345].speaker SPEAKER_14
transcript.pyannote[2345].start 12281.03159375
transcript.pyannote[2345].end 12283.86659375
transcript.pyannote[2346].speaker SPEAKER_02
transcript.pyannote[2346].start 12283.32659375
transcript.pyannote[2346].end 12284.82846875
transcript.pyannote[2347].speaker SPEAKER_14
transcript.pyannote[2347].start 12284.82846875
transcript.pyannote[2347].end 12295.18971875
transcript.pyannote[2348].speaker SPEAKER_14
transcript.pyannote[2348].start 12295.78034375
transcript.pyannote[2348].end 12297.01221875
transcript.pyannote[2349].speaker SPEAKER_02
transcript.pyannote[2349].start 12297.04596875
transcript.pyannote[2349].end 12297.13034375
transcript.pyannote[2350].speaker SPEAKER_02
transcript.pyannote[2350].start 12298.21034375
transcript.pyannote[2350].end 12301.61909375
transcript.pyannote[2351].speaker SPEAKER_14
transcript.pyannote[2351].start 12301.61909375
transcript.pyannote[2351].end 12301.66971875
transcript.pyannote[2352].speaker SPEAKER_02
transcript.pyannote[2352].start 12301.66971875
transcript.pyannote[2352].end 12303.93096875
transcript.pyannote[2353].speaker SPEAKER_14
transcript.pyannote[2353].start 12303.66096875
transcript.pyannote[2353].end 12306.73221875
transcript.pyannote[2354].speaker SPEAKER_14
transcript.pyannote[2354].start 12306.95159375
transcript.pyannote[2354].end 12308.52096875
transcript.pyannote[2355].speaker SPEAKER_14
transcript.pyannote[2355].start 12309.41534375
transcript.pyannote[2355].end 12309.95534375
transcript.pyannote[2356].speaker SPEAKER_14
transcript.pyannote[2356].start 12310.05659375
transcript.pyannote[2356].end 12314.54534375
transcript.pyannote[2357].speaker SPEAKER_14
transcript.pyannote[2357].start 12315.03471875
transcript.pyannote[2357].end 12318.94971875
transcript.pyannote[2358].speaker SPEAKER_14
transcript.pyannote[2358].start 12319.38846875
transcript.pyannote[2358].end 12322.83096875
transcript.pyannote[2359].speaker SPEAKER_02
transcript.pyannote[2359].start 12322.62846875
transcript.pyannote[2359].end 12324.40034375
transcript.pyannote[2360].speaker SPEAKER_14
transcript.pyannote[2360].start 12324.63659375
transcript.pyannote[2360].end 12326.02034375
transcript.pyannote[2361].speaker SPEAKER_02
transcript.pyannote[2361].start 12326.99909375
transcript.pyannote[2361].end 12327.69096875
transcript.pyannote[2362].speaker SPEAKER_02
transcript.pyannote[2362].start 12328.34909375
transcript.pyannote[2362].end 12328.99034375
transcript.pyannote[2363].speaker SPEAKER_14
transcript.pyannote[2363].start 12328.99034375
transcript.pyannote[2363].end 12331.11659375
transcript.pyannote[2364].speaker SPEAKER_14
transcript.pyannote[2364].start 12331.42034375
transcript.pyannote[2364].end 12332.83784375
transcript.pyannote[2365].speaker SPEAKER_14
transcript.pyannote[2365].start 12332.98971875
transcript.pyannote[2365].end 12334.37346875
transcript.pyannote[2366].speaker SPEAKER_02
transcript.pyannote[2366].start 12336.51659375
transcript.pyannote[2366].end 12338.72721875
transcript.pyannote[2367].speaker SPEAKER_14
transcript.pyannote[2367].start 12338.82846875
transcript.pyannote[2367].end 12341.14034375
transcript.pyannote[2368].speaker SPEAKER_14
transcript.pyannote[2368].start 12341.68034375
transcript.pyannote[2368].end 12343.53659375
transcript.pyannote[2369].speaker SPEAKER_14
transcript.pyannote[2369].start 12344.36346875
transcript.pyannote[2369].end 12345.54471875
transcript.pyannote[2370].speaker SPEAKER_14
transcript.pyannote[2370].start 12346.05096875
transcript.pyannote[2370].end 12349.03784375
transcript.pyannote[2371].speaker SPEAKER_14
transcript.pyannote[2371].start 12349.13909375
transcript.pyannote[2371].end 12350.03346875
transcript.pyannote[2372].speaker SPEAKER_02
transcript.pyannote[2372].start 12350.32034375
transcript.pyannote[2372].end 12350.84346875
transcript.pyannote[2373].speaker SPEAKER_14
transcript.pyannote[2373].start 12350.94471875
transcript.pyannote[2373].end 12353.27346875
transcript.pyannote[2374].speaker SPEAKER_02
transcript.pyannote[2374].start 12353.27346875
transcript.pyannote[2374].end 12353.79659375
transcript.pyannote[2375].speaker SPEAKER_14
transcript.pyannote[2375].start 12353.84721875
transcript.pyannote[2375].end 12354.31971875
transcript.pyannote[2376].speaker SPEAKER_14
transcript.pyannote[2376].start 12354.67409375
transcript.pyannote[2376].end 12358.43721875
transcript.pyannote[2377].speaker SPEAKER_02
transcript.pyannote[2377].start 12358.85909375
transcript.pyannote[2377].end 12363.71909375
transcript.pyannote[2378].speaker SPEAKER_14
transcript.pyannote[2378].start 12362.25096875
transcript.pyannote[2378].end 12363.92159375
transcript.pyannote[2379].speaker SPEAKER_14
transcript.pyannote[2379].start 12364.49534375
transcript.pyannote[2379].end 12366.16596875
transcript.pyannote[2380].speaker SPEAKER_02
transcript.pyannote[2380].start 12366.63846875
transcript.pyannote[2380].end 12369.84471875
transcript.pyannote[2381].speaker SPEAKER_14
transcript.pyannote[2381].start 12368.81534375
transcript.pyannote[2381].end 12375.85221875
transcript.pyannote[2382].speaker SPEAKER_02
transcript.pyannote[2382].start 12375.85221875
transcript.pyannote[2382].end 12380.34096875
transcript.pyannote[2383].speaker SPEAKER_14
transcript.pyannote[2383].start 12380.34096875
transcript.pyannote[2383].end 12381.25221875
transcript.pyannote[2384].speaker SPEAKER_14
transcript.pyannote[2384].start 12381.45471875
transcript.pyannote[2384].end 12384.44159375
transcript.pyannote[2385].speaker SPEAKER_02
transcript.pyannote[2385].start 12385.82534375
transcript.pyannote[2385].end 12387.04034375
transcript.pyannote[2386].speaker SPEAKER_02
transcript.pyannote[2386].start 12387.56346875
transcript.pyannote[2386].end 12394.56659375
transcript.pyannote[2387].speaker SPEAKER_14
transcript.pyannote[2387].start 12389.41971875
transcript.pyannote[2387].end 12389.68971875
transcript.pyannote[2388].speaker SPEAKER_14
transcript.pyannote[2388].start 12390.93846875
transcript.pyannote[2388].end 12391.27596875
transcript.pyannote[2389].speaker SPEAKER_02
transcript.pyannote[2389].start 12395.15721875
transcript.pyannote[2389].end 12396.42284375
transcript.pyannote[2390].speaker SPEAKER_14
transcript.pyannote[2390].start 12396.42284375
transcript.pyannote[2390].end 12398.65034375
transcript.pyannote[2391].speaker SPEAKER_02
transcript.pyannote[2391].start 12398.02596875
transcript.pyannote[2391].end 12406.34534375
transcript.pyannote[2392].speaker SPEAKER_14
transcript.pyannote[2392].start 12406.93596875
transcript.pyannote[2392].end 12411.52596875
transcript.pyannote[2393].speaker SPEAKER_02
transcript.pyannote[2393].start 12411.72846875
transcript.pyannote[2393].end 12413.60159375
transcript.pyannote[2394].speaker SPEAKER_14
transcript.pyannote[2394].start 12413.77034375
transcript.pyannote[2394].end 12414.20909375
transcript.pyannote[2395].speaker SPEAKER_02
transcript.pyannote[2395].start 12414.20909375
transcript.pyannote[2395].end 12414.46221875
transcript.pyannote[2396].speaker SPEAKER_14
transcript.pyannote[2396].start 12414.46221875
transcript.pyannote[2396].end 12414.51284375
transcript.pyannote[2397].speaker SPEAKER_02
transcript.pyannote[2397].start 12414.51284375
transcript.pyannote[2397].end 12414.96846875
transcript.pyannote[2398].speaker SPEAKER_14
transcript.pyannote[2398].start 12414.96846875
transcript.pyannote[2398].end 12415.06971875
transcript.pyannote[2399].speaker SPEAKER_02
transcript.pyannote[2399].start 12415.06971875
transcript.pyannote[2399].end 12415.08659375
transcript.pyannote[2400].speaker SPEAKER_14
transcript.pyannote[2400].start 12415.08659375
transcript.pyannote[2400].end 12417.02721875
transcript.pyannote[2401].speaker SPEAKER_02
transcript.pyannote[2401].start 12415.49159375
transcript.pyannote[2401].end 12415.84596875
transcript.pyannote[2402].speaker SPEAKER_02
transcript.pyannote[2402].start 12417.31409375
transcript.pyannote[2402].end 12430.78034375
transcript.pyannote[2403].speaker SPEAKER_14
transcript.pyannote[2403].start 12424.50284375
transcript.pyannote[2403].end 12424.80659375
transcript.pyannote[2404].speaker SPEAKER_14
transcript.pyannote[2404].start 12430.78034375
transcript.pyannote[2404].end 12430.79721875
transcript.pyannote[2405].speaker SPEAKER_02
transcript.pyannote[2405].start 12431.18534375
transcript.pyannote[2405].end 12434.89784375
transcript.pyannote[2406].speaker SPEAKER_14
transcript.pyannote[2406].start 12433.49721875
transcript.pyannote[2406].end 12436.12971875
transcript.pyannote[2407].speaker SPEAKER_02
transcript.pyannote[2407].start 12438.18846875
transcript.pyannote[2407].end 12439.77471875
transcript.pyannote[2408].speaker SPEAKER_14
transcript.pyannote[2408].start 12439.94346875
transcript.pyannote[2408].end 12442.17096875
transcript.pyannote[2409].speaker SPEAKER_02
transcript.pyannote[2409].start 12442.17096875
transcript.pyannote[2409].end 12443.65596875
transcript.pyannote[2410].speaker SPEAKER_14
transcript.pyannote[2410].start 12443.47034375
transcript.pyannote[2410].end 12445.22534375
transcript.pyannote[2411].speaker SPEAKER_14
transcript.pyannote[2411].start 12445.52909375
transcript.pyannote[2411].end 12449.05596875
transcript.pyannote[2412].speaker SPEAKER_02
transcript.pyannote[2412].start 12448.88721875
transcript.pyannote[2412].end 12457.39221875
transcript.pyannote[2413].speaker SPEAKER_14
transcript.pyannote[2413].start 12453.05534375
transcript.pyannote[2413].end 12453.25784375
transcript.pyannote[2414].speaker SPEAKER_14
transcript.pyannote[2414].start 12455.51909375
transcript.pyannote[2414].end 12465.99846875
transcript.pyannote[2415].speaker SPEAKER_02
transcript.pyannote[2415].start 12466.89284375
transcript.pyannote[2415].end 12471.65159375
transcript.pyannote[2416].speaker SPEAKER_14
transcript.pyannote[2416].start 12471.65159375
transcript.pyannote[2416].end 12476.62971875
transcript.pyannote[2417].speaker SPEAKER_14
transcript.pyannote[2417].start 12478.11471875
transcript.pyannote[2417].end 12478.48596875
transcript.pyannote[2418].speaker SPEAKER_02
transcript.pyannote[2418].start 12478.14846875
transcript.pyannote[2418].end 12484.02096875
transcript.pyannote[2419].speaker SPEAKER_14
transcript.pyannote[2419].start 12482.82284375
transcript.pyannote[2419].end 12485.84346875
transcript.pyannote[2420].speaker SPEAKER_02
transcript.pyannote[2420].start 12485.75909375
transcript.pyannote[2420].end 12489.37034375
transcript.pyannote[2421].speaker SPEAKER_14
transcript.pyannote[2421].start 12489.37034375
transcript.pyannote[2421].end 12490.39971875
transcript.pyannote[2422].speaker SPEAKER_02
transcript.pyannote[2422].start 12489.67409375
transcript.pyannote[2422].end 12490.50096875
transcript.pyannote[2423].speaker SPEAKER_14
transcript.pyannote[2423].start 12490.50096875
transcript.pyannote[2423].end 12495.15846875
transcript.pyannote[2424].speaker SPEAKER_14
transcript.pyannote[2424].start 12495.24284375
transcript.pyannote[2424].end 12497.57159375
transcript.pyannote[2425].speaker SPEAKER_02
transcript.pyannote[2425].start 12495.42846875
transcript.pyannote[2425].end 12495.91784375
transcript.pyannote[2426].speaker SPEAKER_24
transcript.pyannote[2426].start 12495.91784375
transcript.pyannote[2426].end 12496.03596875
transcript.pyannote[2427].speaker SPEAKER_02
transcript.pyannote[2427].start 12496.03596875
transcript.pyannote[2427].end 12496.06971875
transcript.pyannote[2428].speaker SPEAKER_17
transcript.pyannote[2428].start 12496.06971875
transcript.pyannote[2428].end 12496.27221875
transcript.pyannote[2429].speaker SPEAKER_02
transcript.pyannote[2429].start 12496.27221875
transcript.pyannote[2429].end 12496.37346875
transcript.pyannote[2430].speaker SPEAKER_17
transcript.pyannote[2430].start 12496.37346875
transcript.pyannote[2430].end 12496.52534375
transcript.pyannote[2431].speaker SPEAKER_02
transcript.pyannote[2431].start 12496.52534375
transcript.pyannote[2431].end 12496.79534375
transcript.pyannote[2432].speaker SPEAKER_24
transcript.pyannote[2432].start 12496.79534375
transcript.pyannote[2432].end 12496.86284375
transcript.pyannote[2433].speaker SPEAKER_24
transcript.pyannote[2433].start 12496.99784375
transcript.pyannote[2433].end 12497.40284375
transcript.pyannote[2434].speaker SPEAKER_14
transcript.pyannote[2434].start 12497.72346875
transcript.pyannote[2434].end 12503.27534375
transcript.pyannote[2435].speaker SPEAKER_02
transcript.pyannote[2435].start 12505.31721875
transcript.pyannote[2435].end 12516.45471875
transcript.pyannote[2436].speaker SPEAKER_14
transcript.pyannote[2436].start 12515.12159375
transcript.pyannote[2436].end 12521.95596875
transcript.pyannote[2437].speaker SPEAKER_14
transcript.pyannote[2437].start 12522.12471875
transcript.pyannote[2437].end 12528.63846875
transcript.pyannote[2438].speaker SPEAKER_02
transcript.pyannote[2438].start 12528.63846875
transcript.pyannote[2438].end 12533.59971875
transcript.pyannote[2439].speaker SPEAKER_14
transcript.pyannote[2439].start 12529.83659375
transcript.pyannote[2439].end 12531.03471875
transcript.pyannote[2440].speaker SPEAKER_14
transcript.pyannote[2440].start 12531.64221875
transcript.pyannote[2440].end 12537.81846875
transcript.pyannote[2441].speaker SPEAKER_02
transcript.pyannote[2441].start 12538.27409375
transcript.pyannote[2441].end 12538.29096875
transcript.pyannote[2442].speaker SPEAKER_14
transcript.pyannote[2442].start 12538.29096875
transcript.pyannote[2442].end 12538.81409375
transcript.pyannote[2443].speaker SPEAKER_02
transcript.pyannote[2443].start 12538.34159375
transcript.pyannote[2443].end 12538.99971875
transcript.pyannote[2444].speaker SPEAKER_14
transcript.pyannote[2444].start 12538.99971875
transcript.pyannote[2444].end 12539.64096875
transcript.pyannote[2445].speaker SPEAKER_14
transcript.pyannote[2445].start 12539.89409375
transcript.pyannote[2445].end 12542.54346875
transcript.pyannote[2446].speaker SPEAKER_14
transcript.pyannote[2446].start 12542.79659375
transcript.pyannote[2446].end 12543.65721875
transcript.pyannote[2447].speaker SPEAKER_14
transcript.pyannote[2447].start 12544.41659375
transcript.pyannote[2447].end 12544.45034375
transcript.pyannote[2448].speaker SPEAKER_23
transcript.pyannote[2448].start 12546.66096875
transcript.pyannote[2448].end 12549.66471875
transcript.pyannote[2449].speaker SPEAKER_23
transcript.pyannote[2449].start 12549.83346875
transcript.pyannote[2449].end 12552.61784375
transcript.pyannote[2450].speaker SPEAKER_23
transcript.pyannote[2450].start 12553.12409375
transcript.pyannote[2450].end 12559.51971875
transcript.pyannote[2451].speaker SPEAKER_23
transcript.pyannote[2451].start 12559.80659375
transcript.pyannote[2451].end 12571.95659375
transcript.pyannote[2452].speaker SPEAKER_23
transcript.pyannote[2452].start 12573.55971875
transcript.pyannote[2452].end 12577.00221875
transcript.pyannote[2453].speaker SPEAKER_23
transcript.pyannote[2453].start 12578.94284375
transcript.pyannote[2453].end 12580.98471875
transcript.pyannote[2454].speaker SPEAKER_05
transcript.pyannote[2454].start 12589.75971875
transcript.pyannote[2454].end 12593.43846875
transcript.pyannote[2455].speaker SPEAKER_05
transcript.pyannote[2455].start 12599.27721875
transcript.pyannote[2455].end 12608.82846875
transcript.pyannote[2456].speaker SPEAKER_05
transcript.pyannote[2456].start 12609.31784375
transcript.pyannote[2456].end 12609.90846875
transcript.pyannote[2457].speaker SPEAKER_05
transcript.pyannote[2457].start 12610.17846875
transcript.pyannote[2457].end 12617.26596875
transcript.pyannote[2458].speaker SPEAKER_05
transcript.pyannote[2458].start 12617.58659375
transcript.pyannote[2458].end 12621.02909375
transcript.pyannote[2459].speaker SPEAKER_05
transcript.pyannote[2459].start 12621.50159375
transcript.pyannote[2459].end 12623.74596875
transcript.pyannote[2460].speaker SPEAKER_05
transcript.pyannote[2460].start 12624.64034375
transcript.pyannote[2460].end 12641.07659375
transcript.pyannote[2461].speaker SPEAKER_05
transcript.pyannote[2461].start 12641.46471875
transcript.pyannote[2461].end 12644.02971875
transcript.pyannote[2462].speaker SPEAKER_05
transcript.pyannote[2462].start 12644.21534375
transcript.pyannote[2462].end 12669.94971875
transcript.pyannote[2463].speaker SPEAKER_05
transcript.pyannote[2463].start 12670.23659375
transcript.pyannote[2463].end 12676.54784375
transcript.pyannote[2464].speaker SPEAKER_05
transcript.pyannote[2464].start 12677.25659375
transcript.pyannote[2464].end 12682.65659375
transcript.pyannote[2465].speaker SPEAKER_05
transcript.pyannote[2465].start 12682.94346875
transcript.pyannote[2465].end 12684.83346875
transcript.pyannote[2466].speaker SPEAKER_05
transcript.pyannote[2466].start 12685.35659375
transcript.pyannote[2466].end 12698.65409375
transcript.pyannote[2467].speaker SPEAKER_05
transcript.pyannote[2467].start 12699.14346875
transcript.pyannote[2467].end 12704.88096875
transcript.pyannote[2468].speaker SPEAKER_05
transcript.pyannote[2468].start 12705.10034375
transcript.pyannote[2468].end 12710.04471875
transcript.pyannote[2469].speaker SPEAKER_05
transcript.pyannote[2469].start 12710.21346875
transcript.pyannote[2469].end 12713.26784375
transcript.pyannote[2470].speaker SPEAKER_05
transcript.pyannote[2470].start 12713.48721875
transcript.pyannote[2470].end 12720.00096875
transcript.pyannote[2471].speaker SPEAKER_05
transcript.pyannote[2471].start 12720.47346875
transcript.pyannote[2471].end 12737.75346875
transcript.pyannote[2472].speaker SPEAKER_05
transcript.pyannote[2472].start 12738.00659375
transcript.pyannote[2472].end 12743.47409375
transcript.pyannote[2473].speaker SPEAKER_05
transcript.pyannote[2473].start 12744.06471875
transcript.pyannote[2473].end 12745.00971875
transcript.pyannote[2474].speaker SPEAKER_05
transcript.pyannote[2474].start 12745.38096875
transcript.pyannote[2474].end 12772.58346875
transcript.pyannote[2475].speaker SPEAKER_05
transcript.pyannote[2475].start 12773.22471875
transcript.pyannote[2475].end 12785.05409375
transcript.pyannote[2476].speaker SPEAKER_05
transcript.pyannote[2476].start 12785.39159375
transcript.pyannote[2476].end 12786.01596875
transcript.pyannote[2477].speaker SPEAKER_05
transcript.pyannote[2477].start 12786.75846875
transcript.pyannote[2477].end 12794.48721875
transcript.pyannote[2478].speaker SPEAKER_05
transcript.pyannote[2478].start 12794.79096875
transcript.pyannote[2478].end 12803.29596875
transcript.pyannote[2479].speaker SPEAKER_05
transcript.pyannote[2479].start 12803.70096875
transcript.pyannote[2479].end 12810.07971875
transcript.pyannote[2480].speaker SPEAKER_05
transcript.pyannote[2480].start 12810.23159375
transcript.pyannote[2480].end 12839.56034375
transcript.pyannote[2481].speaker SPEAKER_05
transcript.pyannote[2481].start 12839.96534375
transcript.pyannote[2481].end 12841.31534375
transcript.pyannote[2482].speaker SPEAKER_05
transcript.pyannote[2482].start 12842.17596875
transcript.pyannote[2482].end 12843.10409375
transcript.pyannote[2483].speaker SPEAKER_05
transcript.pyannote[2483].start 12843.50909375
transcript.pyannote[2483].end 12844.50471875
transcript.pyannote[2484].speaker SPEAKER_05
transcript.pyannote[2484].start 12845.17971875
transcript.pyannote[2484].end 12847.13721875
transcript.pyannote[2485].speaker SPEAKER_05
transcript.pyannote[2485].start 12847.27221875
transcript.pyannote[2485].end 12848.45346875
transcript.pyannote[2486].speaker SPEAKER_05
transcript.pyannote[2486].start 12848.82471875
transcript.pyannote[2486].end 12851.67659375
transcript.pyannote[2487].speaker SPEAKER_05
transcript.pyannote[2487].start 12852.26721875
transcript.pyannote[2487].end 12854.96721875
transcript.pyannote[2488].speaker SPEAKER_05
transcript.pyannote[2488].start 12855.47346875
transcript.pyannote[2488].end 12856.82346875
transcript.pyannote[2489].speaker SPEAKER_05
transcript.pyannote[2489].start 12857.19471875
transcript.pyannote[2489].end 12859.75971875
transcript.pyannote[2490].speaker SPEAKER_05
transcript.pyannote[2490].start 12860.16471875
transcript.pyannote[2490].end 12887.26596875
transcript.pyannote[2491].speaker SPEAKER_05
transcript.pyannote[2491].start 12887.45159375
transcript.pyannote[2491].end 12901.22159375
transcript.pyannote[2492].speaker SPEAKER_05
transcript.pyannote[2492].start 12901.62659375
transcript.pyannote[2492].end 12917.25284375
transcript.pyannote[2493].speaker SPEAKER_05
transcript.pyannote[2493].start 12917.50596875
transcript.pyannote[2493].end 12920.20596875
transcript.pyannote[2494].speaker SPEAKER_05
transcript.pyannote[2494].start 12920.69534375
transcript.pyannote[2494].end 12933.11534375
transcript.pyannote[2495].speaker SPEAKER_05
transcript.pyannote[2495].start 12933.38534375
transcript.pyannote[2495].end 13001.10471875
transcript.pyannote[2496].speaker SPEAKER_05
transcript.pyannote[2496].start 13003.16346875
transcript.pyannote[2496].end 13004.71596875
transcript.pyannote[2497].speaker SPEAKER_23
transcript.pyannote[2497].start 13014.68909375
transcript.pyannote[2497].end 13025.05034375
transcript.pyannote[2498].speaker SPEAKER_23
transcript.pyannote[2498].start 13025.11784375
transcript.pyannote[2498].end 13028.81346875
transcript.pyannote[2499].speaker SPEAKER_23
transcript.pyannote[2499].start 13028.86409375
transcript.pyannote[2499].end 13031.46284375
transcript.pyannote[2500].speaker SPEAKER_23
transcript.pyannote[2500].start 13031.76659375
transcript.pyannote[2500].end 13032.69471875
transcript.pyannote[2501].speaker SPEAKER_23
transcript.pyannote[2501].start 13032.93096875
transcript.pyannote[2501].end 13034.24721875
transcript.pyannote[2502].speaker SPEAKER_23
transcript.pyannote[2502].start 13036.44096875
transcript.pyannote[2502].end 13037.52096875
transcript.pyannote[2503].speaker SPEAKER_01
transcript.pyannote[2503].start 13037.85846875
transcript.pyannote[2503].end 13040.81159375
transcript.pyannote[2504].speaker SPEAKER_23
transcript.pyannote[2504].start 13041.30096875
transcript.pyannote[2504].end 13041.68909375
transcript.pyannote[2505].speaker SPEAKER_23
transcript.pyannote[2505].start 13042.49909375
transcript.pyannote[2505].end 13043.47784375
transcript.pyannote[2506].speaker SPEAKER_23
transcript.pyannote[2506].start 13043.74784375
transcript.pyannote[2506].end 13066.63034375
transcript.pyannote[2507].speaker SPEAKER_23
transcript.pyannote[2507].start 13070.47784375
transcript.pyannote[2507].end 13083.10034375
transcript.pyannote[2508].speaker SPEAKER_23
transcript.pyannote[2508].start 13083.42096875
transcript.pyannote[2508].end 13088.04471875
transcript.pyannote[2509].speaker SPEAKER_23
transcript.pyannote[2509].start 13088.07846875
transcript.pyannote[2509].end 13089.83346875
transcript.pyannote[2510].speaker SPEAKER_23
transcript.pyannote[2510].start 13090.05284375
transcript.pyannote[2510].end 13090.59284375
transcript.pyannote[2511].speaker SPEAKER_23
transcript.pyannote[2511].start 13091.06534375
transcript.pyannote[2511].end 13092.12846875
transcript.pyannote[2512].speaker SPEAKER_23
transcript.pyannote[2512].start 13092.49971875
transcript.pyannote[2512].end 13094.96346875
transcript.pyannote[2513].speaker SPEAKER_23
transcript.pyannote[2513].start 13096.33034375
transcript.pyannote[2513].end 13097.64659375
transcript.pyannote[2514].speaker SPEAKER_23
transcript.pyannote[2514].start 13098.82784375
transcript.pyannote[2514].end 13100.32971875
transcript.whisperx[0].start 698.005
transcript.whisperx[0].end 699.059
transcript.whisperx[0].text 法定人數不足
transcript.whisperx[1].start 768.643
transcript.whisperx[1].end 770.145
transcript.whisperx[1].text MING PAO CANADA MANGA
transcript.whisperx[2].start 1447.039
transcript.whisperx[2].end 1447.688
transcript.whisperx[2].text MING PAO CANADA MANGA
transcript.whisperx[3].start 1504.326
transcript.whisperx[3].end 1516.798
transcript.whisperx[3].text 法定人數不足
transcript.whisperx[4].start 1587.082
transcript.whisperx[4].end 1588.333
transcript.whisperx[4].text 委員會主席
transcript.whisperx[5].start 1860.964
transcript.whisperx[5].end 1873.461
transcript.whisperx[5].text 好我們現在會議開始我們請總命報告出席人數報告全體會本會委員出席是4位已足法定人數好現在進行報告事項請宣讀上次會議議事記錄
transcript.whisperx[6].start 1876.397
transcript.whisperx[6].end 1892.692
transcript.whisperx[6].text 立法院第11屆第2會期經濟委員會第1次全體委員會議.事入.時間113年9月25日星期三上午9時2分至9時22分地點紅樓101會議室出席委員鄭天才委員等14人主席邱委員議員
transcript.whisperx[7].start 1894.173
transcript.whisperx[7].end 1918.759
transcript.whisperx[7].text 報告事項一一立法院各委員會組織法第三條之四規定立法院各委員會至召集委員二人由各委員會委員與每會期互選產生二宣讀本會期本會召集委員選舉人名冊選舉事項選舉立法院第11屆第二會期本會召集委員一立法院各委員會召集委員選舉辦法第五條規定召集委員之選舉以五計民單計法
transcript.whisperx[8].start 1920.979
transcript.whisperx[8].end 1940.397
transcript.whisperx[8].text 票選之但經各該委員會全體委員或經各黨團及未參加黨團之該委員會委員之書面同意亦得以推選方式行之主席宣告推選呂委員玉玲及邱委員志偉二人為本院第11屆第2會期本會召集委員散會宣讀完畢
transcript.whisperx[9].start 1945.953
transcript.whisperx[9].end 1947.914
transcript.whisperx[9].text 委員會主任委員列席報告業務概況.並備質詢。宣讀完畢
transcript.whisperx[10].start 1966.609
transcript.whisperx[10].end 1992.902
transcript.whisperx[10].text 首先中央氣象署今天持續的宣布中度颱風山頓海上路上颱風的警報請大家做好充足的防颱準備照顧好自己也保護好家園謝謝大家本日議程排定公平會公平交易委員會的業務報告現在請李主委報告
transcript.whisperx[11].start 2002.16
transcript.whisperx[11].end 2025.66
transcript.whisperx[11].text 主席各位委員各位先進以及公平會的同仁大家早安我今天很榮幸能夠代表公平交易委員會來經濟委員會向各位提出業務報告在這裡也同時要謝謝我們經濟委員會長期以來對公平交易法業務的支持以下我請就公平會近期重要的業務報告來向各位
transcript.whisperx[12].start 2026.28
transcript.whisperx[12].end 2050.09
transcript.whisperx[12].text 做簡單的說明第一點是執法維護市場競爭秩序公平會的主要任務是依據公平交易法以及多層次傳銷管理法來查處業者違法的行為並且追蹤後續的改正情形來確保市場的競爭秩序那近期查獲的違法案件包括我們處分土木基石工會等聯合訂定收費標準全聯違反
transcript.whisperx[13].start 2053.171
transcript.whisperx[13].end 2053.411
transcript.whisperx[13].text 請各位參考書面報告
transcript.whisperx[14].start 2073.315
transcript.whisperx[14].end 2087.902
transcript.whisperx[14].text 第二點是審查結合的申報案件依據公平交易法的規定超過一定門檻的結合案件必須要向公平交易委員會提出申報我們近期審查的重要案件包括禁止
transcript.whisperx[15].start 2088.462
transcript.whisperx[15].end 2089.723
transcript.whisperx[15].text 委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會
transcript.whisperx[16].start 2115.814
transcript.whisperx[16].end 2116.054
transcript.whisperx[16].text 委員會主席
transcript.whisperx[17].start 2137.288
transcript.whisperx[17].end 2165.261
transcript.whisperx[17].text 第三點是重視數位經濟及永續發展我們都知道數位經濟跟永續發展是全球經濟發展的兩大潮流我們在前年發布數位經濟競爭政策白皮書完整的論述在數位經濟發展下執法機關應有的執法方向以及立場這份白皮書被國際知名的競爭法出版商評選為最佳反托勞斯寫作獎也是亞洲唯一的
transcript.whisperx[18].start 2166.121
transcript.whisperx[18].end 2166.361
transcript.whisperx[18].text 委員會主席
transcript.whisperx[19].start 2184.84
transcript.whisperx[19].end 2210.703
transcript.whisperx[19].text 第4點是完備競爭法次為了完備競爭法規我們持續檢討主管的法規近期已經完成多層次傳轄案件的處理原則事業發展侵害著作權商標權以及專利權的警告函處理原則以及終止調查案件的處理原則等等的修正作業也嚴密修正公平交易法來提升本會的執法效能
transcript.whisperx[20].start 2211.644
transcript.whisperx[20].end 2233.706
transcript.whisperx[20].text 第5點是查查不實廣告為了有效規制網路的不實廣告我們一直持續的在辦理網路廣告的查查計畫而且與內政部衛生福利部等相關廣告主管機關一起合作來打擊不實的廣告維護交易秩序保護消費者的權益另外我們也持續
transcript.whisperx[21].start 2235.268
transcript.whisperx[21].end 2248.943
transcript.whisperx[21].text 強化不實廣告的規範宣導工作:定期跟各地方機關政府辦理不實廣告的法規案例宣導說明會 增進業者以及民眾對不實廣告的規範的瞭解
transcript.whisperx[22].start 2249.924
transcript.whisperx[22].end 2271.573
transcript.whisperx[22].text 第6推廣競爭文化.近期重要的倡議工作.包括辦理克制化的公平交易法.對業者量身定做.辦理各種講習跟交流.同時我們也辦理產業宣導說明會.與法官學院合作辦理法官研習會.
transcript.whisperx[23].start 2273.293
transcript.whisperx[23].end 2284.94
transcript.whisperx[23].text 頒禮大專院校的合作宣導活動也持續發行電子報提供服務中心法律諮詢服務以及發布新版的認識公平交易法
transcript.whisperx[24].start 2286.141
transcript.whisperx[24].end 2294.783
transcript.whisperx[24].text 第7點是主辦大型的國際研討會公平會在今年6月主辦2024年臺灣競爭政策及競爭法國際研討會總計有國內外競爭法學者專家超過200個人參加這會場這個非常的盛大熱烈的交流也獲得來賓的肯定
transcript.whisperx[25].start 2310.796
transcript.whisperx[25].end 2324.104
transcript.whisperx[25].text 另外經過公平會不斷的努力我們建個10年再次成功的舉辦今年在臺北主辦國際競爭網絡也就是ICN的結合研討會這個研討會將會在11月舉辦預計會邀請全球的ICN會員政府機關跟非政府機關200位參加
transcript.whisperx[26].start 2339.754
transcript.whisperx[26].end 2351.787
transcript.whisperx[26].text 深化國際的參與競爭法的政策跟執法是非常具有國際性的為了使本會的施政能夠符合國際趨勢而且強化我們跟全球執法的脈動連結我們向來積極參與國際組織的活動
transcript.whisperx[27].start 2356.572
transcript.whisperx[27].end 2374.646
transcript.whisperx[27].text :推動雙邊交流合作:為了向國際展現我們對於競爭法國際交流的重視:我個人今年也親自率團參加第23屆的ICN年會:擔任報告人展現我國公平交易法的執法成效:同時也親自出席第19屆東亞競爭政策高峰會議第16屆
transcript.whisperx[28].start 2379.63
transcript.whisperx[28].end 2407.525
transcript.whisperx[28].text 東亞競爭法與競爭政策會議其他重要的國際參與情形請各位參閱我們的書面報告那以上是我簡單的針對近期公平會的業務做簡要的說明也敬請各位委員繼續給本會支持與指導以上報告謝謝好現在我們會場有兩位委員請問委員上次會議意思錄有無錯誤
transcript.whisperx[29].start 2409.196
transcript.whisperx[29].end 2409.656
transcript.whisperx[29].text 有請主委
transcript.whisperx[30].start 2440.18
transcript.whisperx[30].end 2451.153
transcript.whisperx[30].text 請立主委主委我們公平會是一個仲裁單位還是一個心理單位
transcript.whisperx[31].start 2457.605
transcript.whisperx[31].end 2457.705
transcript.whisperx[31].text 委員會主席
transcript.whisperx[32].start 2474.805
transcript.whisperx[32].end 2494.682
transcript.whisperx[32].text 公平交易政策法規之擬定審議專業活動及經濟情況之調查違反公平交易法案件之調查與處分多層次傳銷政策法規之擬定及有關案件之調查與處分
transcript.whisperx[33].start 2499.409
transcript.whisperx[33].end 2515.454
transcript.whisperx[33].text 所以他是一個仲裁單位他不是心理這是矛盾你怎麼可能又仲裁又心理這是根本兩個矛盾的作為所以光是你對於你的職長就已經是模糊不清了所以你才會把
transcript.whisperx[34].start 2516.825
transcript.whisperx[34].end 2545.096
transcript.whisperx[34].text 這個剛才看到您的這個業績報告這個也蠻替你高興的你對於各行各業不管是營造業服務業你都有介入調查甚至有一些查處所以你們特別去把工多層次傳銷一直放入在你的本身的業務當中本席都認這個認為是你們是這個拿一塊石頭砸自己的腳
transcript.whisperx[35].start 2545.956
transcript.whisperx[35].end 2567.253
transcript.whisperx[35].text 所以我也有提說這個就業務就移給這個經濟部你們又很堅持那你怎麼可能做到新力跟仲裁呢好 第二個針對本席啊真的對於多層次傳銷要新力的話好 既然你說你們要放在這邊也要新力我一直主張許可制換掉現在的這個報備制你才能良幣驅逐劣幣
transcript.whisperx[36].start 2572.952
transcript.whisperx[36].end 2599.812
transcript.whisperx[36].text 好 那這個你們也不踩好 那我們來看現在的多層次傳銷保護基金會我們簡稱傳保會我們來看他現在呢 有哪些異議啊好 我們現在這一次的呢專業的董事代表專業性不足第二個呢 重外商跟親本土第三本席有一個具體的要求好 傳保會長期向傳銷事業收取保惠費基金呢 已經多少錢了 3億元
transcript.whisperx[37].start 2601.873
transcript.whisperx[37].end 2609.578
transcript.whisperx[37].text 也就是說業者繳的民脂民膏無法發揮保護傳銷商的功能所以本席呢下一個定義就是現在您的作為一個評語公平會的帶領下傳保會是長期毫無作為的公平會怎麼會去帶領一個產業呢好那確實是你想帶領所以你們又毫無作為又怎麼沒作為呢先不降新利你連房幣也沒作為
transcript.whisperx[38].start 2627.289
transcript.whisperx[38].end 2644.146
transcript.whisperx[38].text 縱觀傳保會開始的103年到現在113年10年了離譜的是什麼從來沒有一件協助傳銷商的訴訟你去完成一件代償而致死受害的傳銷商還是得自尋其他管道自救
transcript.whisperx[39].start 2645.973
transcript.whisperx[39].end 2664.818
transcript.whisperx[39].text 傳保會為什麼種外商跟清本土來我們就把這一次的名單拿起來我們有幾個代表有傳銷事業代表董事傳銷商代表董事然後有這個學者專家代表董事以及監察人我們來看傳銷商事業董事這三個人當中有兩個就外商
transcript.whisperx[40].start 2665.918
transcript.whisperx[40].end 2672.823
transcript.whisperx[40].text 你們就直接找直銷協會推薦 這個表很清楚那你們傳銷商的代表 連基層都會受害的傳銷商代表你們還是找外商而且這個外商都是美商關於這個公平會叫做美商的公平會你們就是捍衛美商的利益捍衛美商傳銷商的利益的公平會
transcript.whisperx[41].start 2692.536
transcript.whisperx[41].end 2717.29
transcript.whisperx[41].text 這個當中除了聯法一席為本土的代表就是在傳銷事業其餘的傳銷事業跟傳銷商全部都是美商再來以往多層次傳銷工會我們有工會喔工會是本土全部都是本國的喔拿著自己的血汗錢打天下還能夠立足台灣放眼全球過往的傳銷商工會理事長是當然懂事這個理事長是會換的
transcript.whisperx[42].start 2720.612
transcript.whisperx[42].end 2742.116
transcript.whisperx[42].text 沒有特定的但是你們這屆當中就把它排除在外了好那再來看這個學者專家這邊有4個12345這5個這3個全部叫做公平會幫要嘛就是公平會政府官員退休要嘛就是公平會的委員卸任好嗎那再來2個學者這2個學者他們學有專精但
transcript.whisperx[43].start 2746.497
transcript.whisperx[43].end 2764.538
transcript.whisperx[43].text 就不是傳銷的本質也不是傳也不懂傳銷產業破缺需求的門外漢好本席具體的要求在一個月內你要完成這幾件事情第一個完成調整傳保會的董事比例增加本土專業代表所謂專業就是瞭解這個產業的
transcript.whisperx[44].start 2766.5
transcript.whisperx[44].end 2768.081
transcript.whisperx[44].text 財政部下的銀行跟消費者之間的平益中心
transcript.whisperx[45].start 2793.63
transcript.whisperx[45].end 2796.852
transcript.whisperx[45].text 第3重新檢討傳保會存在的必要檢視法源正式的回文到底傳保費是屬於公部門的法人還是民間團體的組織
transcript.whisperx[46].start 2810.381
transcript.whisperx[46].end 2824.302
transcript.whisperx[46].text 並配合修改章程最後為何董事的臨選沒有規避旋轉門所以公平會現在是心力不成除弊為果而傳保會是沒有存在的必要針對本席做的這4項要求您的回應
transcript.whisperx[47].start 2825.563
transcript.whisperx[47].end 2852.696
transcript.whisperx[47].text 謝謝委員我簡單說明第一個我們在選董事的時候有請工會協會各單位提出推薦名單那工會只推薦一名這一名資格不符所以工會代表這次沒有那是因為他提名的就是只有一名這一名是資格不符的那第二個就是說傳保會是一個財團法人所以他沒有所謂的旋轉門條款因為他不是盈利事業
transcript.whisperx[48].start 2853.756
transcript.whisperx[48].end 2858.981
transcript.whisperx[48].text 那你所有的董監事都你在主導啊那個董監事我們有一個領選的那個主委我為什麼說是公部門是公部門的財團法百分百投資還是說他是呢百分之像中鋼啊或者像我們一些財團法人政府投資49對啊那怎麼可以有公平會的官員在裡面呢
transcript.whisperx[49].start 2880.879
transcript.whisperx[49].end 2909.154
transcript.whisperx[49].text 你怎麼可以主導這個公平會的是那個傳保會的所有的人事跟政策方向呢矛盾點就在這邊啊好在這麼多的這個董事當中公平會所推出去的代表名額有限那我們還是從傳銷商傳銷事業學者專家裡面來臨選而且有臨選辦法歷年來都是這樣的一個組成您睜眼說一下話來看一下這個名單專家學者
transcript.whisperx[50].start 2910.154
transcript.whisperx[50].end 2928.31
transcript.whisperx[50].text 五席當中就三行叫公平會的公平幫了五席就佔了一半了那再看之前您說這個是公會沒有推薦好那沒關係您說了就算所以本席就叫你一個月內趕快的召開臨時董建事會來調整這樣的董建事
transcript.whisperx[51].start 2931.232
transcript.whisperx[51].end 2943.518
transcript.whisperx[51].text 可以做到嗎我們董監事會是有任期的除非他有發生什麼特別的情況否則我們應該讓這個傳保會的董事這個業務的執行有他的穩定性所以繼續收錢不辦事繼續的讓業者繳錢傳保會並不是沒有辦事您提出數據說明
transcript.whisperx[52].start 2952.603
transcript.whisperx[52].end 2952.623
transcript.whisperx[52].text 數量
transcript.whisperx[53].start 2981.513
transcript.whisperx[53].end 2981.873
transcript.whisperx[53].text 委員會主席
transcript.whisperx[54].start 3009.514
transcript.whisperx[54].end 3010.194
transcript.whisperx[54].text 請邱映穎委員質詢請李主委
transcript.whisperx[55].start 3045.675
transcript.whisperx[55].end 3055.085
transcript.whisperx[55].text 主委長,我想我們每一次在這邊質詢的時候都會問到這個多層次傳銷的問題根據你們的統計,現在多層次傳銷的營業額已經高達到1083.7億元,今年又增加了29.1億元
transcript.whisperx[56].start 3067.839
transcript.whisperx[56].end 3068.76
transcript.whisperx[56].text 公平會主動移送調查的詐騙案有143件
transcript.whisperx[57].start 3088.069
transcript.whisperx[57].end 3091.31
transcript.whisperx[57].text 委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會
transcript.whisperx[58].start 3117.057
transcript.whisperx[58].end 3144.162
transcript.whisperx[58].text 主委這個是我們調出來齁這一家公司曾經被公平會裁罰過裁罰的金額只有10萬塊裁罰的原因是因為他做多層次傳銷沒有向公平會報備所以被裁罰了10萬塊那之後呢裁罰了之後這一家公司說他不做多層次傳銷你們也就沒有繼續再查了
transcript.whisperx[59].start 3145.523
transcript.whisperx[59].end 3145.723
transcript.whisperx[59].text 委員會主任
transcript.whisperx[60].start 3170.967
transcript.whisperx[60].end 3192.906
transcript.whisperx[60].text 當時就是10年前曾經沒有報備就從事多層次長效 這個我們處罰過了你們這個處罰10萬塊 你如果對比他現在的吸金的程度 違法吸金的程度 這個其實只是零毛一角就是說當時處罰的是沒有報備 那至於吸金那一定有更嚴重的刑法的一些制裁
transcript.whisperx[61].start 3194.565
transcript.whisperx[61].end 3195.626
transcript.whisperx[61].text 可不可以有一個可以提供的資料可以給本席
transcript.whisperx[62].start 3212.483
transcript.whisperx[62].end 3212.804
transcript.whisperx[62].text 委員會主席
transcript.whisperx[63].start 3231.806
transcript.whisperx[63].end 3245.281
transcript.whisperx[63].text 現在不只是多層次傳銷現在大家最厲害的最喜歡講的是淨零碳排所以淨零碳排的課程也很多這個我不知道公平會有沒有開始立案調查讓您看一下現在有這種
transcript.whisperx[64].start 3248.064
transcript.whisperx[64].end 3268.64
transcript.whisperx[64].text 不知道哪裡報出來的博士然後他去歐洲就說他是這個臺灣的代表那甚至呢也有沒有立案就開始在違法招生這個影片呢是在4月的時候就已經在網路上流傳了這一家叫探淨林學院他立案的日期呢是在2024年的5月16號
transcript.whisperx[65].start 3270.962
transcript.whisperx[65].end 3277.691
transcript.whisperx[65].text 但是畢業學員的影片在2024年的4月22號就已經開始在YouTube上面流傳
transcript.whisperx[66].start 3278.786
transcript.whisperx[66].end 3304.82
transcript.whisperx[66].text 主委這要不要查跟委員說明不是只有查這家公司假借淨林碳排然後開一大堆奇奇怪怪的課程以淨林碳排開這個招生也好那他說他邀請了什麼偉大的人或是多麼專業的人如果事實沒有這個我們向來就會查前一陣子還說是跟經濟部合作或者是跟其他單位合作這個我們都會查也有處罰的案例
transcript.whisperx[67].start 3304.94
transcript.whisperx[67].end 3324.092
transcript.whisperx[67].text 你們都會查的意思是說你們還沒有開始查那如果還沒有開始查是什麼時候要開始查你這個違法招生我們有一件已經立案調查那再來就是說他用這個補習班的方式去招生也同時違反這個補習教育相關法令這個我們跟教育部會有一個合作的機制來遏阻這種不實的行為
transcript.whisperx[68].start 3326.994
transcript.whisperx[68].end 3349.376
transcript.whisperx[68].text 主委我想我們現在提出的這些東西其實我們過去都一直不斷的在強調公平會很多時候是屬於被動的立場就是有人檢舉你們才去查你們很少會去主動發掘然後主動去立案調查我覺得這個是公平會比較弱的地方所以常常都是立法委員在這裡質詢然後或者是說你們有接到誰的檢舉才開始去調查
transcript.whisperx[69].start 3351.918
transcript.whisperx[69].end 3378.84
transcript.whisperx[69].text 讓大家會覺得公平會其實效能不彰但公平會是不是真的效能不彰其實就你們來說你們其實做了很多事情嘛你也覺得很委屈嘛接下來我要問的這個大概會跟人事案有關主委您的任期會到明年的1月31號任滿正常來講立法院應該要在今年的10月底行政院應該今年的10月底就要提名新的主委人選
transcript.whisperx[70].start 3380.281
transcript.whisperx[70].end 3381.242
transcript.whisperx[70].text 要送到立法院來審查
transcript.whisperx[71].start 3410.56
transcript.whisperx[71].end 3426.374
transcript.whisperx[71].text 不只是要杯葛甚至呢任期屆滿之後如果沒有通過人事同意權的話他就要刪除所謂的過度條款要刪除所謂的過度條款主委您知道這個事情嗎我知道
transcript.whisperx[72].start 3427.401
transcript.whisperx[72].end 3451.314
transcript.whisperx[72].text 我知道好那你們有沒有什麼因應措施或者是任期結束之後你會直接拍拍屁股就走人還是說你們會有人留下來撐撐到這個人事統一權通過那假如立法院強行把這個所謂的過度條款刪除的話公平會能不能運作該如何運作怎麼樣持續運作
transcript.whisperx[73].start 3452.355
transcript.whisperx[73].end 3455.978
transcript.whisperx[73].text 主委來請您說明一下我們有4位委員會在明年1月底任期屆滿所以現任的7位委員會剩3位當時立法設計7個人就是大家各有專長跟經驗好好去執行我們應該做的這些工作所以我還是希望這一屆的這個任期能夠如期來舉行
transcript.whisperx[74].start 3475.074
transcript.whisperx[74].end 3498.386
transcript.whisperx[74].text 如果沒有完成這個任命,第一個7個人剩3個人,那3個人如果有請假,或者是有留會的情形,尤其是我們結合案件,我舉個例子好了,我們現在Foodpanda跟結合,正在結合,如果沒有辦法在法定,正在結合申報,如果在法定期間內沒有做出決定,他就可以結合
transcript.whisperx[75].start 3500.421
transcript.whisperx[75].end 3523.121
transcript.whisperx[75].text 如果我們沒有這個足夠的這個委員的人數或者是法定人數不足或者是很少的這個人數做成決議第一個這個決議的內容是否周延是一個問題那假設留會或者是人員不足這個案子結合我們的結合是這樣子沒有過了這個審議期以後你們沒有沒有任何的裁處的話沒有任何的裁決的話他就是直接就結合了嘛
transcript.whisperx[76].start 3525.723
transcript.whisperx[76].end 3541.758
transcript.whisperx[76].text 所以你現在要講就是說如果是這樣的話對於未來你們在審查這樣的一個重大的結合案件其實是會遇到相當大的不管是結合案件或是違法的聯合限制競爭不實廣告的行為在做決議的時候在執行上恐怕會有一些摯愛難行
transcript.whisperx[77].start 3542.679
transcript.whisperx[77].end 3560.689
transcript.whisperx[77].text 其實公平會看起來其實它不是有太大政治性的一個部會但是對於台灣的很多的公平交易事項或者是違規的事、廣告不實的事項等等它其實是有一個重大的裁決權的單位啦所以我們當然也不希望
transcript.whisperx[78].start 3562.791
transcript.whisperx[78].end 3578.906
transcript.whisperx[78].text 這個大家是這樣子用比較不理性的方式去刪除掉這樣所謂的過度條款即使不能在任期完成之前任期屆滿之前完成人事同意權但是我覺得所謂的過度條款也不應該任意的刪除啦
transcript.whisperx[79].start 3582.049
transcript.whisperx[79].end 3609.098
transcript.whisperx[79].text 當然如果能夠在任期結束之前完成人事權的審查這當然是最好所以我想我們也會來努力但是我覺得公平會你們自己也要有一套應對的措施或者是說也要有一套說帖出來這個立法院的這個交戰常常是瞬息萬變那對於政務官來講對於你們的這個行政單位來說你們其實也要有一套
transcript.whisperx[80].start 3609.898
transcript.whisperx[80].end 3610.198
transcript.whisperx[80].text 請賴瑞榮委員質詢請李主委
transcript.whisperx[81].start 3643.764
transcript.whisperx[81].end 3662.407
transcript.whisperx[81].text 主委我想請教你現在民怨之首是什麼民怨最高的是什麼事件詐騙公平會也是政府機關的一環政府應該全力的來打詐這件事情那我想請教一下公平會作為打詐的事情有什麼樣的角色可以來做
transcript.whisperx[82].start 3664.629
transcript.whisperx[82].end 3690.872
transcript.whisperx[82].text 打炸是整個政府機關都要動起來去改善它去阻止它那所以在行政院有一個跨部會小組公平會也是其中的一員公平會有什麼樣的作為更積極的作為來做嗎譬如說我們負責如何去試炸阻炸這部分我們也應該要責無旁貸主委你認為公平會有沒有善盡到打炸跟整個防炸這樣的工作有沒有善盡盡了最大的努力我們有盡努力在
transcript.whisperx[83].start 3691.833
transcript.whisperx[83].end 3709.128
transcript.whisperx[83].text 我希望盡了最大努力我認為公平有努力但是我認為還有空間我們來看一下公平會在查處開罰這個當然是不時廣告包括不時的廣告跟不時網路廣告從110年的63件到110年的81、92到今年1到8月的51大概是這樣的規模一樣不會超過百件那網路廣告一樣大概也是不到百件
transcript.whisperx[84].start 3717.836
transcript.whisperx[84].end 3718.357
transcript.whisperx[84].text 公平交易委員會
transcript.whisperx[85].start 3733.893
transcript.whisperx[85].end 3758.431
transcript.whisperx[85].text 裏面 如果這是3個月而已啦 但是你回推回來大概一年有12萬件12萬件以公平會來查處的話 大概不到0.1%我的意思是說 有沒有各單位都窮盡了各種方法盡了最大努力防詐 我認為公平會在不實廣告裏面有你很大的空間你的這個報告裏面也提到第5點 查實不實廣告
transcript.whisperx[86].start 3759.532
transcript.whisperx[86].end 3786.728
transcript.whisperx[86].text 對我來說 除了查實不實廣告外 詐騙其實是更嚴重的一個不實廣告他 連空的 連什麼都沒有 就可以去給你做不實 給你詐騙所以我認為其實在公平交易法裡面 有給予公平會足夠的空間 去來做打詐這樣的動作就是你不要擔憂 你打了他之後 他要不要來宿院 他要不要來那個 那是另外一件事情 但是你連打都不打的時候 這些的詐騙就非常的猖獗主委有沒有同這樣的看法
transcript.whisperx[87].start 3787.501
transcript.whisperx[87].end 3811.754
transcript.whisperx[87].text 我認同要各部會看到這個有詐欺的形式都要去處理所以我們在監控這個不時廣的廣告的過程主委先不要提到各部會去啦公平會有沒有善盡你所有的方法來打詐我想沒有最好只有更好然後我們去我們可以有在努力的空間不敢說百分之百已經做到最好但是這個打詐這件事情是各部會都要通過
transcript.whisperx[88].start 3812.174
transcript.whisperx[88].end 3829.85
transcript.whisperx[88].text 現在有很多的網路的 現在最多的就是投資詐騙最多了 網路的甚至謝金河甚至許貴雅 常常都 他們不斷的澄清我沒有 我沒有推薦大家投資 但這些東西不斷的在臉書在很多的平台上不斷被投放 在這件事情上面公平會有沒有角色可以做處理
transcript.whisperx[89].start 3830.27
transcript.whisperx[89].end 3847.681
transcript.whisperx[89].text 我想對這個廣告他如果內容不實影響交易自信公平法21條一定可以處理所以這個其實可以嗎一定是不實嗎因為他當事人都已經澄清我沒有做這樣的宣傳鼓勵大家來買這支股票鼓勵大家買頭所以其實你覺得這是比不實更嚴重的一個狀況下當然
transcript.whisperx[90].start 3849.282
transcript.whisperx[90].end 3873.088
transcript.whisperx[90].text 如果涉及到詐欺那已經刑事犯罪了 刑事的犯罪他的處罰我只講的是公平會在你的角色上你有沒有辦法去做處理我認為公平會是有角色可以做處理因為我講過了這是比不死更嚴重的不死的問題他是用空的去賣的賣的是一個空的東西但是你們自我限縮覺得這是詐騙所以詐騙歸速發部詐騙歸警政署
transcript.whisperx[91].start 3877.429
transcript.whisperx[91].end 3898.188
transcript.whisperx[91].text 麻煩了也完全難處理我的意思是說如果你有辦法給予開罰的時候因為我們對於這個實名制之後開罰的時候你開罰得到他罰了之後他們才會有壓力之後這件事情才會銷聲匿跡你一定要從源頭去管治掉這件事情要不然一年光這樣的案件網路的違法的投資廣告就12萬件一年就12萬件而你們開罰不到100件如果你開罰個
transcript.whisperx[92].start 3901.01
transcript.whisperx[92].end 3923.217
transcript.whisperx[92].text 五千件一萬件你只要開發五千件一萬件他們覺得有相當大的壓力我跟你講下個月隔個月之後馬上少一半以上甚至於更低因為你政府有沒有用你善盡你的你剛也提到了公平交易法裡面的第21條有空間我們來看一下公平交易法第21條有嚴打臉書跟購物網站不實廣告的你們對MOMO也開發過
transcript.whisperx[93].start 3924.637
transcript.whisperx[93].end 3935.019
transcript.whisperx[93].text 只要就商品的相關及注意影響交易決定的虛偽不實跟引人錯誤的表示開罰10萬9月12號臉書也開罰了5萬9月10號的這個也開罰了10萬包括臉書也被開罰了10萬包括這個8月8號的PC home包括7月29號的臉書有關於購買房子的部分也開罰了100萬所以其實你們是有空間有能力去做處理的
transcript.whisperx[94].start 3952.043
transcript.whisperx[94].end 3970.411
transcript.whisperx[94].text 但是你們自我限縮你們覺得這是不實行為我要再次強調詐騙是比不實不實的廣告更嚴重的不實更嚴重的不實你們當然有權利去開罰當你們開罰了以後我不認為這些人有什麼好有溯源的空間完全沒有溯源空間因為就是假的嘛就是騙的嘛
transcript.whisperx[95].start 3971.071
transcript.whisperx[95].end 3985.821
transcript.whisperx[95].text 當你開罰了以後這些案件會大量的下降當你開罰了之後臉書沒有辦法去迴避說這是你個人的行為臉書有90%的收益是來自於廣告收益如果他縱容這些詐騙的廣告不斷的出現其他形容是共犯
transcript.whisperx[96].start 3986.701
transcript.whisperx[96].end 4001.418
transcript.whisperx[96].text 全部的詐騙行為大家都看得懂主委你看得懂吧你看一般人多數人有一半的人我認為都看得懂那個一看就是詐騙廣告臉書會不知道嗎?詐騙的人會不知道嗎?但是他不需要一半的人騙到他只要10%的人被騙到獲利就非常的巨大
transcript.whisperx[97].start 4002.148
transcript.whisperx[97].end 4026.794
transcript.whisperx[97].text 那公平會在這件事情上有沒有善盡他的職責我認為現在是沒有的所以我這一兩年不斷來講這件事情公平我希望善盡你該有的職責讓你成為是一個積極行政積極作為的機關而不是消極保守當你也知道詐騙是全民最反彈對政府的信任最低的時候而你在這個位置上面正有機會可以做一些事的時候卻放著不做這不是很可惜嗎
transcript.whisperx[98].start 4027.774
transcript.whisperx[98].end 4050.265
transcript.whisperx[98].text 主委委員我容許我說明一下不時廣告在公平交易法裡面他賣商品他賣服務那如果這個行為是說你來投資後就可以賺多少錢基本上這是一個投資的一個廣告那我們要看在公平交易法裡面是不時不時是對商品服務那如果有合資21條主委我認為這個都是你自我的限縮
transcript.whisperx[99].start 4050.965
transcript.whisperx[99].end 4078.667
transcript.whisperx[99].text 就是你限縮之後所以反倒是你有賣東西這個東西的品質功能不太好這個會被開罰賣騙你的欸不會開罰沒事同樣是不實一個是全部空的完全沒有的不實一種是有東西的不實你只開罰有東西的不實你對於空的騙的假的完全的這種不實你是不開罰的我認為這個是公平會自我的限縮你應該要跟著時代的記憶形成我講了嘛你開罰了如果任何的書院敢進來書院再來談嘛
transcript.whisperx[100].start 4080.448
transcript.whisperx[100].end 4092.438
transcript.whisperx[100].text 來疏遠 給行政院來疏遠嘛包括行政法院都可以來疏遠你可以來談談看嘛但是你連這樣的開罰都不願意做的時候這些的猖獗到這個程度嘛我講了嘛 光這樣的詐騙一年12萬件
transcript.whisperx[101].start 4095.523
transcript.whisperx[101].end 4111.839
transcript.whisperx[101].text 明人們嘴巴講破頭了謝金河說我沒有我沒有許貴亞說我沒有沒有講過頭了沒有用詐騙的人數不斷地在增加公平會明明手上有一個武器可做為什麼不做我再講一下你們對於拍賣網站的部分你們對行動的這些你們都有開發過了
transcript.whisperx[102].start 4113.502
transcript.whisperx[102].end 4139.034
transcript.whisperx[102].text 在於公平交易法21條不實廣告:對廣告主:對廣告代理業者:對廣告媒體業者:對廣告見證者都可以開罰你能不能善盡這樣的功能 沒有你們自我限縮 自我保守你們只要開罰 不只是對實際在詐騙這些人開罰甚至於如果你也找臉書來談你90%的獲益是來自於廣告連這種不實廣告我們一般人看到都知道那是假的
transcript.whisperx[103].start 4140.515
transcript.whisperx[103].end 4149.045
transcript.whisperx[103].text 臉書會不知道嗎臉書用AIC搜尋一下往下看沒有錢怎麼辦如果用小錢賺大錢主委這一看就知道這有問題嘛對不對
transcript.whisperx[104].start 4150.812
transcript.whisperx[104].end 4177.67
transcript.whisperx[104].text 這個你知道我知道百分之五十人可能都知道但是百分之二三十人被騙了就很嚴重了臉書會不知道嗎臉書會沒有能力來遏止這樣事情嗎要不然你要貼這件廣告在社群或在臉書上貼你至少要有更清楚的確切的洩明嘛現在沒有反正登上去臉書也沒有的事這是各自的你們的言論自由這是那個然後臉書沒事廣告費賺得很高興然後或者是整個社群的賺得很高興那
transcript.whisperx[105].start 4179.331
transcript.whisperx[105].end 4203.494
transcript.whisperx[105].text 政府機關的這個不歸他這個不歸我就變成最後所有的受害者就是一般的老百姓那人民大院啊政府為什麼對這件事情沒有辦法作為我再強調一次速發部開始也要有作為了沒有錯但是包括警政署很努力在做事後歸事後但事前一定有一套機制可以做更強的一個防治上的效果如果我們做了更多事情的效果的話警政署不用忙翻天整天在那邊抓
transcript.whisperx[106].start 4204.235
transcript.whisperx[106].end 4224.654
transcript.whisperx[106].text 包括也不用很多人被詐騙完了之後還要求他下架整天發文要求臉書下架也要求臉書下架臉書就有能力去識別這是不是真的嘛如果是假的你不用全部嘛你把現在的詐騙廣告有一半你自己篩選掉一半是假的就造福了很多的人了嘛這做得到嗎我認為絕對做得到臉書做得到公平會做得到那為什麼不做
transcript.whisperx[107].start 4225.95
transcript.whisperx[107].end 4252.578
transcript.whisperx[107].text 主委可不可以再說明一下我想跟委員說明一個行為如果是個犯罪行為應該由司法好好把他制裁那從這個公平交易法的這個不實廣告的內容他主要是一個行政法那如果他同時是一個一個刑事的案件主委我還是要再跟你強調我懂你的說法啦但是我講的是現在政府有沒有窮盡他各種方法去做處理即使行政法裡面這個行政法也可以該給他適度的壓力的啦
transcript.whisperx[108].start 4254.42
transcript.whisperx[108].end 4264.016
transcript.whisperx[108].text 沒有理由沒有理由所有這些的臉書到台灣來的時候然後在這件事情上面是這麼的毫無壓力的啦賺取了這麼多的利益甚至於
transcript.whisperx[109].start 4265.491
transcript.whisperx[109].end 4290.314
transcript.whisperx[109].text 詐騙者在這邊利用這樣的平台奪得這麼多利益而我們是無能為力拒約束他的這個是交代不過去的啦主委你講的我都懂你講的都司法反正但是我講的是行政作為行政有沒有這件事情上讓人民感受到積極行政積極作為積極打詐積極反詐騙這樣的作為如果這樣的作為還是這麼消極的話我們當然會要求書發部當然會要求其他部委但我認為公平會該有更強的作為啦
transcript.whisperx[110].start 4290.854
transcript.whisperx[110].end 4307.29
transcript.whisperx[110].text 不然網費的一個這個機關有這樣的能力在做全世界其他國家很多公平交易的機制也在做很多的努力嘛我認為台灣的公平會可以做出更好的一個做法我期待在這一段時間內一個月內我希望你們針對這個部分有積極的作為你只要開罰的一件兩件三件
transcript.whisperx[111].start 4307.99
transcript.whisperx[111].end 4314.714
transcript.whisperx[111].text 這些詐騙的就知道公平會已經開始對這個事情已經重視了出手了這樣自然就處理同時間你們可以跟臉書跟Meta幾個講了我們開始重視問題了我不是不能罰你如果你無法遏阻這樣的不實廣告嚴重超不實的不實廣告不斷的出現的話我對你這廣告的媒體業者我也開罰
transcript.whisperx[112].start 4328.502
transcript.whisperx[112].end 4348.793
transcript.whisperx[112].text 你不能夠賺到這麼多的錢而卻縱容漠視這個違法的詐騙廣告不斷的持續出現你賺這樣錢是不義之財我認為這個要讓這些業者做到而他們有沒有能力做到?絕對有能力做到AI隨便寫個數字一查一下這些什麼稍微有些廣告貼文是貼的一模一樣的這個群組貼那個群組貼那個群組貼這個群組詐騙那個群組詐騙每個詐騙完全無作為
transcript.whisperx[113].start 4354.068
transcript.whisperx[113].end 4365.074
transcript.whisperx[113].text 臉書無作為政府無作為這樣大家怎麼能接受好不好我希望主委怎麼樣有個作為一個月內給我一份報告好嗎好不好針對這件事情怎麼樣有作為給我一份又給我一個報告好謝謝主委請張家健委員質詢
transcript.whisperx[114].start 4384.727
transcript.whisperx[114].end 4387.669
transcript.whisperx[114].text 主席我想請李主委請李主委李主委早安我想呢大家整個委員會每一個委員都希望你有積極作為我也很好奇說你心目中是不是覺得公平會其實沒有那麼重要就是一個可有可無的單位
transcript.whisperx[115].start 4407.517
transcript.whisperx[115].end 4412.06
transcript.whisperx[115].text 本期想要首先先問你Uber在今年的5月14號已經宣布收購台灣的Full Panda目前全案的進度為何?辦理的到什麼程度?
transcript.whisperx[116].start 4428.653
transcript.whisperx[116].end 4451.805
transcript.whisperx[116].text 跟委員說明我們是5月收到這個案子那因為這個案子是會涉及到市場結構的改變在公平會審查會涉及到市場結構改變的案子所以進步到什麼程度目前請這個當事人補正還在補正階段所以還在補正階段你也還沒有決定說到底要不要核准
transcript.whisperx[117].start 4452.165
transcript.whisperx[117].end 4452.265
transcript.whisperx[117].text 委員會主席
transcript.whisperx[118].start 4482.665
transcript.whisperx[118].end 4499.978
transcript.whisperx[118].text 實材成本就已經佔了大概是六成左右那電租再加15%的話利潤大概就是25%現在的店家一定都會要漲價來因應這件事情那如果未來的環境更惡化吃虧的始終是消費者
transcript.whisperx[119].start 4500.798
transcript.whisperx[119].end 4522.651
transcript.whisperx[119].text 包括說如何保障這15萬外送員工的權益我想這個是公平會也需要去考量在你同意或不同意之前你一定要去考量那包括這一點這點可能跟你比較有關係外送平台都會收取月費跟年費主委你有加入外送平台嗎
transcript.whisperx[120].start 4523.789
transcript.whisperx[120].end 4551.186
transcript.whisperx[120].text 我本身沒有對假設你有的話或者是你們公平會有有這個職員有的話你可以好好請教他一下都會宣稱說加入會員可以讓消費者享有免運的優惠享有會員的專屬折扣更便宜省更多但是目前呢有網友在網路發現同品項的會員跟非會員顯示的價格竟然不一樣
transcript.whisperx[121].start 4551.926
transcript.whisperx[121].end 4560.731
transcript.whisperx[121].text 反而沒有買會員的餐點會更便宜那這一點是不是應該你要介入的這是不是不實廣告如果他有這個會員跟非會員他對會員有宣稱有什麼優惠沒有達到這個優惠的內容
transcript.whisperx[122].start 4574.258
transcript.whisperx[122].end 4576.68
transcript.whisperx[122].text 所以本席現在就告訴你說你應該主動積極的我現在跟你講的你到底聽不聽得懂
transcript.whisperx[123].start 4594.412
transcript.whisperx[123].end 4608.938
transcript.whisperx[123].text 我再跟你講的是他已經說會員會更便宜但是會員沒有更便宜那這個要整個 我的這個案子我有了解是這樣是不是不實廣告這樣是不是不實廣告是不是不實廣告嘛 我告訴你嘛我問你啊 我問你說
transcript.whisperx[124].start 4616.681
transcript.whisperx[124].end 4623.222
transcript.whisperx[124].text 他告訴你說加入會員會更便宜但事實上沒有更便宜這樣是不是不實廣告?他講得非常清楚啊免運費然後會員有專屬折扣啊假設同樣一個品項你非會員比會員便宜這樣子是不是不實廣告?是啊你要主動積極為什麼你會這麼的
transcript.whisperx[125].start 4644.568
transcript.whisperx[125].end 4647.691
transcript.whisperx[125].text 我們應該要去瞭解他所謂的比較便宜是指哪一些面向
transcript.whisperx[126].start 4665.455
transcript.whisperx[126].end 4666.996
transcript.whisperx[126].text 當然是餐點的價格阿 如果假設他餐點點A點A餐點 會員價跟非會員價 非會員價
transcript.whisperx[127].start 4678.027
transcript.whisperx[127].end 4698.354
transcript.whisperx[127].text 還比較便宜這些費用包括餐廳的這個費用還有外上員的費用還有他的服務費那這樣子是不是不實廣告我就問你我假設這個是屬實這樣是不是不實廣告廣告所謂比較便宜是哪一些我假設問你說是用A品項去比較的話
transcript.whisperx[128].start 4703.496
transcript.whisperx[128].end 4707.698
transcript.whisperx[128].text 我還在跟委員說明我們必須說他講的是什麼具體的內容我覺得你的頭腦有一點問題你完全不理解我現在在問你的是什麼我再跟你說
transcript.whisperx[129].start 4728.427
transcript.whisperx[129].end 4734.118
transcript.whisperx[129].text 為什麼大家都會覺得公平會可有可無好像是沒有在作為好像是消極為什麼因為
transcript.whisperx[130].start 4737.281
transcript.whisperx[130].end 4742.845
transcript.whisperx[130].text 在韓國我不曉得你有沒有看過這個例子韓國的公平會開罰了Coupon38億為什麼開罰因為他濫用濫用這個評論這個韓國的知名電商Coupon6月在韓國的公平交易委員會開罰他34億台幣的罰單為什麼
transcript.whisperx[131].start 4761.798
transcript.whisperx[131].end 4772.162
transcript.whisperx[131].text 因為他們使用不公平的演算法外加大量動員員工去撰寫這個商品評價藉此誤導消費者做選擇那我現在就想要想要問你啊主委主委我問你假設臺灣也是啊這個coupon在臺灣也可以看得到啊同樣一個例子你在臺灣的公平會你要不要作為
transcript.whisperx[132].start 4790.472
transcript.whisperx[132].end 4807.921
transcript.whisperx[132].text 第一個就是說如果有不實廣告如果有違反我們公平交易法的規定我們當然要去處理所以本席現在就提醒你啊臺灣的coupon你要不要去積極調查coupon它在韓國的這個經營模式譬如說它商品來源一模一樣這個虛偽的評論在臺灣也看得到也買得到這麼明顯的一個案例你也沒有要積極作為啊
transcript.whisperx[133].start 4817.523
transcript.whisperx[133].end 4831.754
transcript.whisperx[133].text 如果有其他的電商平台也使用這種虛偽的購買心得是不是也違反我們的台灣公平法台灣公平交易法你要怎麼處理不是代言是他發動內部的員工去寫不實的評論
transcript.whisperx[134].start 4838.358
transcript.whisperx[134].end 4866.832
transcript.whisperx[134].text 公平網有處罰的規定但是這個案子我們目前沒有看到我相信你目前沒有看到現在就是提醒你去看嘛現在提醒你去調查嘛難道是我要整理好幫你調查是嗎所以本席想要回到我之前說的話公平會要面對的是不斷進步的商業科技的挑戰公平會不能只靠吹哨者
transcript.whisperx[135].start 4868.479
transcript.whisperx[135].end 4890.771
transcript.whisperx[135].text 你們要主動的對業者宣導甚至是主動的調查才能夠落實保障市場的秩序才可以變成守護這個市場正常運作的守護者否則你太被動啦你現在今天從早到晚講的都是這個交給司法這個交給什麼什麼調查那我再另外問你我再另外問你一個
transcript.whisperx[136].start 4894.997
transcript.whisperx[136].end 4900.462
transcript.whisperx[136].text 不只是訂餐有會員比較便宜的問題叫車也有這種狀況根據媒體報導你的手機快沒電的時候叫車會比較貴因為透過數據的系統分析你的分析你的手機快沒電了所以你的需求比較急迫因此抬高價錢這個並非是單純市場的供需原則而是做出分析比較之後
transcript.whisperx[137].start 4923.761
transcript.whisperx[137].end 4923.981
transcript.whisperx[137].text 請張淇凱委員質詢
transcript.whisperx[138].start 4966.92
transcript.whisperx[138].end 4969.381
transcript.whisperx[138].text 主席 請主委 請你主委委員長 主委 早上好我們今天這回來維護臺灣外送產業環境的整體利益決心今天剛才蔣先生說的 我們要積極一點這位來錄裏你最近有注意一個案子嗎 9月份的時候9月份的時候
transcript.whisperx[139].start 4994.961
transcript.whisperx[139].end 5023.16
transcript.whisperx[139].text 護編打因為沒有提供外送員的強制汽車責任保險然後被台南市政府給他裁罰了你有注意到這個新聞嗎有嘛齁後來台南市政府還敗訴因為換言之說他是保險不是屬於地方的自治的一個事項撤銷的原處分然後現在台南市政府要提上訴嘛齁我提到這個案子是因為護編打跟這個Uber Eats他順利如果結合以後會變成一個
transcript.whisperx[140].start 5024.124
transcript.whisperx[140].end 5049.426
transcript.whisperx[140].text 一家獨大對不對那以後會不會變成很多地方的自治條例反而管不到他你有沒有思考過這個問題如果從比較積極面去想這個問題有想過這個事情嗎你看到這個新聞的時候有想到嗎一家獨大的時候會不會地方要管他們或者地方要求這個外送平台要做一些對外送員的保險啊保障啊更難做嗎對不對
transcript.whisperx[141].start 5051.633
transcript.whisperx[141].end 5053.334
transcript.whisperx[141].text 我現在說的我們把它鎖定在9月這個9月如果是連臺南市政府都敗訴了外送員
transcript.whisperx[142].start 5080.985
transcript.whisperx[142].end 5107.418
transcript.whisperx[142].text 這個負面打不讓他保嘛對不對那以後如果變成兩家合在一起以後這個壓力會不會更大反正更沒辦法去確保外送員的這個權益就是說地方政府或者是其他主管機關他要求外送平台做什麼事情他應該會有相關的這個法源依據或者是相關的這個行政措施那至於這些措施合以不合以有沒有一個法令的依據這就是另外一個行政政策的過程
transcript.whisperx[143].start 5109.062
transcript.whisperx[143].end 5131.229
transcript.whisperx[143].text 公平交易法的宗旨叫你們的任務,來我們看一下,其實剛才你叫家俊會有那麼多的,不要講攻防,就是為什麼會,一個比較積,他一直在講說你不過積極面嘛公平交易法裡面你有六大任務對不對,維護消費者保護利益,確保自由跟公平競爭,12456都是很積極面的
transcript.whisperx[144].start 5135.449
transcript.whisperx[144].end 5152.779
transcript.whisperx[144].text 三跟四稍微比較小級面那這次的併鍋案裡面大家怕到說可能有三大影響所以那時候你曾經講過你公開講過對不對包括四個面向要去審查那為什麼我從九月份這個判決切進來你也可以說你不要管阿
transcript.whisperx[145].start 5153.922
transcript.whisperx[145].end 5155.083
transcript.whisperx[145].text 我們對結合之後會產生的各種影響都有評估而且
transcript.whisperx[146].start 5172.918
transcript.whisperx[146].end 5200.77
transcript.whisperx[146].text 在我們的這個申請裡面我們北中南全省各地都收集不見所以我們把它鎖定用這個用臺南市政府跟護編打這個你覺得如果合併以後會不會外送員的潛力受到更大影響用這個為例子所以這個就是說結合以後對於外送員的這個不管是報酬或是價格這一方面我們都會處理至於保險就是說保險這件事情因為我不知道
transcript.whisperx[147].start 5201.57
transcript.whisperx[147].end 5220.287
transcript.whisperx[147].text 你現在台南市政府不可以叫不定人嗎?如果是又更大的會不會更難叫?就是說他叫不定人是什麼事叫不定人不定人還是要聚在一起?如果是保險那這應該是看相關的法律怎麼適用這個新聞這個事件會不會影響到你們在決定要不要讓他合併的時候?
transcript.whisperx[148].start 5226.613
transcript.whisperx[148].end 5229.855
transcript.whisperx[148].text 對阿可是法院判決他輸了嘛我的意思就是說你現在決定他能不能合併嘛那只有單純就保險這個事情老實講合併以後難度一定更高嘛
transcript.whisperx[149].start 5259.876
transcript.whisperx[149].end 5276.983
transcript.whisperx[149].text 來我們看一下所以才會講說你的積極的功能要發揮好不好來我們看下一張我剛剛主委有講了你們都已經開了很多公聽會對不對你們有在努力我們前陣子台灣民眾黨你看楊瓊英、楊偉炎、林國成、易軍他們我們也開了一個公聽會來我們來討論一下我們報告的內容來下一張
transcript.whisperx[150].start 5284.298
transcript.whisperx[150].end 5297.791
transcript.whisperx[150].text 我們有學界跟專家跟民團他們提醒至少有5件事情第一個兩大外送平台合併以後到底是誰得利這是大家最關心的第一個第二個合併以後如果外送平台片片去砍價
transcript.whisperx[151].start 5299.028
transcript.whisperx[151].end 5322.181
transcript.whisperx[151].text 那外送員去申訴就會被停權嗎?目前這個已經在發生了就跟剛剛講保險事情是一樣的好那合併以後會不會潛入更大的損害?第三個 面對數位平台經濟的多邊性大者都獨大大者如果一直獨大資訊就不對稱了外送員受到演算法控制公平交易法的執行機關你到底有沒有去想過
transcript.whisperx[152].start 5323.499
transcript.whisperx[152].end 5344.945
transcript.whisperx[152].text 你們有沒有足夠的量能去執法這個要好好想一下第4個現在公平交易法是不過因應要不要訂一個專法第5個日本他們本身是有最大的外送平台的所以他們叫做出錢館對不對那你們有沒有考慮在這個合併要不要併的時候考慮要不要我們台灣自己有個像日本的這個出錢館來我問4個很具體的問題來我們看一下迪雷
transcript.whisperx[153].start 5350.205
transcript.whisperx[153].end 5364.109
transcript.whisperx[153].text 主委你回應過嘛,你說現在正在審查這些文件,之後來資料不齊全,對不對?剛剛很多委員問你的時候,你說資料又不齊全,到底站不上去資料?現在切了什麼資料?我想跟委員說明,會議時間這麼久
transcript.whisperx[154].start 5367.116
transcript.whisperx[154].end 5382.198
transcript.whisperx[154].text 重大的結合案件本來時間就會很久比如說全年病大論發這各界也非常的有疑慮那越年越會要變病這個糖溶這個都是會花比較多的時間注意注意我們時間比較有限你們聚焦很清楚的講現在到底少了什麼資料
transcript.whisperx[155].start 5383.254
transcript.whisperx[155].end 5412.14
transcript.whisperx[155].text 我們現在譬如說在將來的這個評估還有剛才您提到的結合的中效你這個結合對我們要評估說你的競爭利益你的經濟利益跟限制競爭的不利益那你這個結合有什麼經濟利益你綜合效果是什麼那譬如說剛才委員提到的那幾點那個就是有可能是限制競爭的不利益那你整個結合的中效是什麼我們希望他能夠所以你跟他要這些東西很好啊他怎麼會拖那麼久沒有給你
transcript.whisperx[156].start 5413.12
transcript.whisperx[156].end 5441.5
transcript.whisperx[156].text 因為第一個就是說他他外商啦齁就外商他在這個資料的準備當中會需要跟外國總部其實可以靠時間因為外商你現在有壓力嗎沒有壓力你怎麼那你剛剛的問題都切中壓話你外商他要準備一些資料你跟他要哪些資料你剛剛回答得很好這個正常他就應該給你啊所以第一個結論他不應該再拖延這是第一個問題第二個我再問你有沒有壓力嘛
transcript.whisperx[157].start 5441.8
transcript.whisperx[157].end 5442.48
transcript.whisperx[157].text 主委比較快好不好
transcript.whisperx[158].start 5461.647
transcript.whisperx[158].end 5486.797
transcript.whisperx[158].text 另外你回應過嘛你說你這段時間會去徵詢利害關係人的意見對不對是包括餐廳、外送員、消費者還有相關的這個主管機關包括消保會跟勞動部是我現在在網路上面有看到勞動部已經開了8次的會議了是資料在網路上我也看到了可是沒有看到消保會跟利害關係人的會議紀錄你有跟那個消保會要這個資料嗎
transcript.whisperx[159].start 5488.536
transcript.whisperx[159].end 5510.869
transcript.whisperx[159].text 我們有請消保會針對這個結合案提供意見提供意見有提供的嗎?消保會的意見有提供有齁那因為勞動部的都已經上網了他看不到你可以把這個紀錄給我嗎?消保會的紀錄我會後了解一下提供給委員兩週內給我兩週內給我好不好最後一個問題啦
transcript.whisperx[160].start 5515.287
transcript.whisperx[160].end 5535.604
transcript.whisperx[160].text 那天開公聽會,很多專家寫者都問到說,裡面一個最重要的關鍵是什麼?特別是外送聯盟,你們到底準不準他合併,最重要的是相關市場的界定。就你把它界定是不是就很單純的外送平台產業。你們現在目前的界定是什麼?往哪個方向走?它很單純就是一個外送平台嗎?
transcript.whisperx[161].start 5537.026
transcript.whisperx[161].end 5564.423
transcript.whisperx[161].text 還是有些人在提供不一樣的意見我們前一案是美食外送平台的市場接近那我們這個案子我們還要再評估甚至我們還要再跟委員在委員會裡面會去討論現在是很多專家寫者有擔心所以你那個相關市場界定要很明確好不好那我現在就是很明確的要求到你們到時候審的時候審以後的那個整個書面要公開透明給大家看好不好最後做一個總結我們希望第一個要
transcript.whisperx[162].start 5565.143
transcript.whisperx[162].end 5565.463
transcript.whisperx[162].text 請政政全委員質詢
transcript.whisperx[163].start 5605.727
transcript.whisperx[163].end 5626.154
transcript.whisperx[163].text 李美珠委主任委員詐騙廣告現在也是到公平會這邊那我想說詐騙廣告肯定是個不實廣告我們公平會對整個所有詐騙的那個相關的廣告相關的行為之前有沒有開出任何的罰則出來
transcript.whisperx[164].start 5630.775
transcript.whisperx[164].end 5657.064
transcript.whisperx[164].text 我們對於不實廣告都有處罰你針對那個詐騙的部分尤其是有關於一些網路上詐騙的部分因為打詐是現在全民的公憤你把公平會在這個部分做了哪些事情到時候給本席一個書面資料完整的書面資料我們做了哪些相關的一個處罰那我接下來想問一下主任我想問一下你對目前國內的檢探政策
transcript.whisperx[165].start 5657.944
transcript.whisperx[165].end 5663.346
transcript.whisperx[165].text 包括了探費探權探綜合還有探盤查等等是不是很了解
transcript.whisperx[166].start 5664.074
transcript.whisperx[166].end 5688.05
transcript.whisperx[166].text 不敢說很瞭解但是有去關注都有關注嗎那因為上個禮拜四環境部發布了一個企業碳中和指引我不知道你知不知道這個事情我知道因為現在很多企業都宣稱自己的產品以達到碳中和但是因為沒有相關的標章消費者不知道說他們是真正的增綠
transcript.whisperx[167].start 5689.051
transcript.whisperx[167].end 5690.031
transcript.whisperx[167].text 委員會主任委員會主任
transcript.whisperx[168].start 5705.856
transcript.whisperx[168].end 5709.637
transcript.whisperx[168].text 請問主委我們公平會是不是準備好了要接環境部丟出來這個球我想這個跨機關的合作是應該的
transcript.whisperx[169].start 5724.821
transcript.whisperx[169].end 5738.927
transcript.whisperx[169].text 環境部指引是讓消費者知道什麼叫做碳中和碳排放跟碳移除加減之後要是零不足的時候怎麼去消底那現在就是說消費者或者是一般的企業他換稱我符合碳中和
transcript.whisperx[170].start 5740.163
transcript.whisperx[170].end 5763.648
transcript.whisperx[170].text 環境部的指引主要是要他揭露清楚你是怎麼算的你排多少檢多少那我想問一個最基本的一個問題主委我想問一個最基本的問題因為跟碳有關的問題非常的多我想說講幾個小時候講不完我想國外碳權目前我們如何認定主委國外碳權因為碳中和裡面有一個部分一定是跟國外碳權會有關我們國外碳權目前如何認定
transcript.whisperx[171].start 5765.684
transcript.whisperx[171].end 5769.825
transcript.whisperx[171].text 公平交易法21條這部分我想先問探權這部分因為我待會會再問到21條的事情因為像現在國際很多的一個探權的一個認證標準像VCS 像GS
transcript.whisperx[172].start 5795.914
transcript.whisperx[172].end 5817.543
transcript.whisperx[172].text 目前我們國家都沒有認定可是像世界很多的大廠包括Apple他們包括通信他們都認定那我們怎麼去處理這個問題就公平會來講他宣稱他得到什麼認證不管是這個國際認可或不認可我們會跟環境部來
transcript.whisperx[173].start 5819.536
transcript.whisperx[173].end 5834.222
transcript.whisperx[173].text 徵詢意見最主要就是說你說你得到哪裡的認證就必須是那裡的認證所以說跟環境部再去溝通這個部分那我目前可以接受這個狀態因為目前這個還在進行當中那我為什麼會問這個問題是因為我在上個會期我曾經問過了一個電信業者的合併案那麼我們公平會在去年就是通過兩個附帶條件的合併案
transcript.whisperx[174].start 5847.907
transcript.whisperx[174].end 5868.554
transcript.whisperx[174].text 包括了就是遠傳病亞太去年的7月20號那麼包括了台灣大哥大病台灣之心去年的10月10號都有附帶條件那我當時也問了這個問題就說他合併之後服務品質如果嚴重下降訊號網速都不穩定但上次主委你有回應我就說
transcript.whisperx[175].start 5869.878
transcript.whisperx[175].end 5891.431
transcript.whisperx[175].text 你說NCC本身有一個觀測小組然後公平會會跟NCC保持溝通那我想問一下目前觀測的結果是怎麼樣子我想這兩個結合案在公平會我們會去關注他有沒有履行我們付的負擔至於他這個網路品質的這個監控我們也有就是NCC有沒有結果出來
transcript.whisperx[176].start 5897.228
transcript.whisperx[176].end 5920.019
transcript.whisperx[176].text 還要再徵詢一下退後再出來我先舉個例子給你這是消費者直接公佈出來的狀態這個其實是台灣之心被病怒台哥大之後那麼消費者用了一個臺大祭祀中心的一個軟體自己測出來的一個結果那其中下載的部分大概在1Mbps到5Mbps的速度
transcript.whisperx[177].start 5921.039
transcript.whisperx[177].end 5934.882
transcript.whisperx[177].text 那上傳的部分在1Mbps到4Mbps左右的速度這直接大家在網路上公佈出來都很清楚那我想請問一下公平會就是主委你知道說我們正常手機4G的網路下載速度是多少嗎?
transcript.whisperx[178].start 5937.489
transcript.whisperx[178].end 5965.243
transcript.whisperx[178].text 不是很清楚的掌握這一些不是很清楚所以上次我質詢之後你顯然沒有去follow整個電訊合併之後所產生那個狀態所以我今天在追問的時候請你沒有辦法回應出來像正常的時候40到70M是正常的一個情況在台北的時候不管在台灣在怎麼樣台北到70是很正常的台灣到處至少20M以上都是很基本的一個門檻可是你看
transcript.whisperx[179].start 5968.642
transcript.whisperx[179].end 5970.967
transcript.whisperx[179].text 臺哥大變了臺灣之星之後只到1到5咩?這樣的狀態是不是有嚴重影響到消費者的權益?
transcript.whisperx[180].start 5980.149
transcript.whisperx[180].end 6008.221
transcript.whisperx[180].text 若通訊品質沒有達到應該有的這個品質這是有消費者保護的問題所以公平會這邊是不是應該要出手要針對這個事情電信業者合併之後沒有達到他們該提供出來的消費品質公平會是不是應該要出手公平會在當時準結合的時候有一些負擔那這些負擔比較是從這個競爭秩序方面去談的那當然消費者的保護
transcript.whisperx[181].start 6010.542
transcript.whisperx[181].end 6033.118
transcript.whisperx[181].text 競爭秩序是一塊沒有問題可是消費者保護一定是公平會很重要的一個目標成立公平會很重要的一個目標所以我希望針對這個部分主委你後續再去追蹤一下後續再給本席一個很清楚的一個報告好不好我會跟委員說明這個NCC的負擔跟我們的負擔差別在哪然後針對消費者權益的部分然後NCC這邊
transcript.whisperx[182].start 6035.599
transcript.whisperx[182].end 6057.45
transcript.whisperx[182].text 顯然沒有很積極去處理這個事情那我們是要公平會這邊出手因為現在NCC其實也很亂那我想說針對這個部分再給本席一個完整的一個書面資料那我接下來還要再問一個你剛剛提到就是公平交易法第21條那我想問一下預售屋預售屋的不實廣告你怎麼認定
transcript.whisperx[183].start 6058.94
transcript.whisperx[183].end 6079.353
transcript.whisperx[183].text 預售屋的不實廣告就是他廣告說他有什麼就要有什麼是所以基本上也是用公平交易法第21條對於有虛偽不實或引人錯誤的表示或表徵基本上這是一個很重要的一個判斷標準對不對是是嗎OK那第42條直接表示說OK那他可以處5萬元到2500萬以下的一個罰款應該也是這樣的一個條件對不對是OK好我想問一個具體的一個個案
transcript.whisperx[184].start 6088.756
transcript.whisperx[184].end 6111.835
transcript.whisperx[184].text 來 主委你看到這樣右邊這樣子的一個廣告的時候他說已經預留華南銀行貸款額度安信購屋華南銀行信託保證這樣的一個廣告的時候你覺得會不會誤導民眾我為什麼會提這個問題因為這個問題是在這一波央行打房之後還持續的廣告
transcript.whisperx[185].start 6113.755
transcript.whisperx[185].end 6133.537
transcript.whisperx[185].text 如果他說有預留華南銀行的額度結果沒有這個就是不實廣告如果沒有的時候就不實廣告所以我們如果看到這個他說預留華南銀行貸款額度的時候那我們去買了房子到時候華南銀行沒有貸款給我們的時候這個建商就會出問題是這個意思嗎我的意思說你廣告說什麼就要有什麼
transcript.whisperx[186].start 6134.258
transcript.whisperx[186].end 6162.586
transcript.whisperx[186].text 所以我說你看嘛右邊這廣告已經預留華南銀行貸款額度安心購屋那這樣子算不算是一個不實廣告算不算有誤導民眾需要去查因為我們在看的是不實以至於誤導如果沒有不實就不會到誤導的問題那這樣子算不算不實主委你的專業你這樣直接看算不算不實是不是真的有華南銀行貸款是怎麼說的這個是需要了解的
transcript.whisperx[187].start 6163.584
transcript.whisperx[187].end 6174.436
transcript.whisperx[187].text 那是不是會誤導民眾來做購屋因為現在央行現在這一波打房之後出現很多的狀態是很多銀行都縮了銀根都不願意再放款出來喔
transcript.whisperx[188].start 6176.705
transcript.whisperx[188].end 6192.674
transcript.whisperx[188].text 會不會誤導又看各每個不同消費者的認知主委這個部分我想說請主委這邊再跟我們內政部地政司這邊跟消保行政院消保處這邊的時候去做一個完整一點點的一個
transcript.whisperx[189].start 6194.835
transcript.whisperx[189].end 6197.058
transcript.whisperx[189].text 公平交易委員會對於預收銷售行為案件的處理原則裡面規範的沒有那麼樣的細緻所以我們希望
transcript.whisperx[190].start 6214.246
transcript.whisperx[190].end 6214.647
transcript.whisperx[190].text 最後一個部分針對
transcript.whisperx[191].start 6233.51
transcript.whisperx[191].end 6262.453
transcript.whisperx[191].text 建保就是醫療相關的一個掛號費這個部分的時候他算不算是一個聯合行為這一波很多都漲價了在相近的時間都漲價算不算聯合行為有沒有就有漲價是一個客觀事實我們會去看看他們橫向有沒有勾結談價他們肯定有開過會公會裡面肯定有開過會因為我看到你報告裡面針對很多公會的部分包括土木公會
transcript.whisperx[192].start 6263.634
transcript.whisperx[192].end 6284.273
transcript.whisperx[192].text 包括一些就是結構工會等等都有一些相關的一個部分所以針對這個部分希望主委這邊也多費點心針對這個掛號費的聯合行為的部分那到之後再都給本席一個很完整的書面說明謝謝
transcript.whisperx[193].start 6298.599
transcript.whisperx[193].end 6308.612
transcript.whisperx[193].text 我們先來請一下呂玉玲召委謝謝主席請離主委請離主委委員好
transcript.whisperx[194].start 6314.642
transcript.whisperx[194].end 6342.915
transcript.whisperx[194].text 主委公平會要負擔的就是我們整個社會我們所有的相關各行各業在這個市場這個平台上有任何不公的地方我們的公平會就要站出來主動站出來主持公道讓我們所有的大眾不要受到其害但是從早上到現在我一直聽到公平會永遠是被動撇清責任
transcript.whisperx[195].start 6344.156
transcript.whisperx[195].end 6355.856
transcript.whisperx[195].text 見報了到司法單位了還跟你們沒關係除非判決出來你們才承認這個是有問題的什麼叫做有問題只要有受害者就有問題對不對
transcript.whisperx[196].start 6358.926
transcript.whisperx[196].end 6379.575
transcript.whisperx[196].text 有時候可能就是有這個違反法令的行為那你又在鐵案司法我說主委為什麼早上這麼多委員大家都會比較激動的來問你就是你一直不聚焦委員問你的問題你都一直在答非所問我就跟你聚焦再聚焦一下請問
transcript.whisperx[197].start 6381.974
transcript.whisperx[197].end 6382.154
transcript.whisperx[197].text 委員會主席
transcript.whisperx[198].start 6400.016
transcript.whisperx[198].end 6421.484
transcript.whisperx[198].text 並購福本大在整個社會的輿論上傾向他是不支持的但是在整個外送平台裡面你看到這兩家一個是第一名一個就是第二名他們要合併了社會大眾非常的緊張他們為什麼緊張我不知道公平會了不了解但是他們如果合併的話一定會影響市場上的結構
transcript.whisperx[199].start 6422.944
transcript.whisperx[199].end 6446.272
transcript.whisperx[199].text 公平會你們態度跟立場而言你們對於獨佔的這個市場他們會不會在整個市場上面的你一直講的就是說這個限制的這個制度跟這個方面齁在這限制競爭這方面會不會影響其他競爭者的競爭因為他是第一大他是第二大他獨佔這個市場
transcript.whisperx[200].start 6448.193
transcript.whisperx[200].end 6452.978
transcript.whisperx[200].text 合併之後的話其他市長有沒有能力跟他競爭就是限制競爭的這有沒有達到限制競爭
transcript.whisperx[201].start 6456.36
transcript.whisperx[201].end 6480.608
transcript.whisperx[201].text 我想會不會整個市場的競爭結構的這個改變還有他市佔率的改變我已經告訴你他是第一名第二名這兩個合併起來不是大怪獸了嗎他對於這個將來消費者的影響包括餐廳店家的影響這個都是我們整個要評估那資料如果沒有很齊全我們不是列放送資料給你的喔那他影響的是哪方面對店家什麼影響
transcript.whisperx[202].start 6481.668
transcript.whisperx[202].end 6508.901
transcript.whisperx[202].text 對店家譬如說我們也做了很多的公聽會的徵詢店家擔心以後店家跟這個平台合作這個服務費可能會提高超成的問題是好那那個對於外送平台呢外送平台因為我們有這麼多的這個外送員他們也擔心說將來這個談判力量會不對等譬如說把這個外送費用降低或者是其他的就他的薪資會降低了薪資降低了那對消費者呢
transcript.whisperx[203].start 6509.241
transcript.whisperx[203].end 6535.079
transcript.whisperx[203].text 消費者也擔心就提高價格因為我沒得選擇只能選這一家嘛以前有兩家可以選這個都是我們我提到的就是對於利害關係人的影響你都能夠說出來這就是一連貫的為了他們兩家和平之後產生了三輸的局面就是外送平台的外送人員還有店家還有消費者外送平台的人員因為他薪資會被他們控制而降低
transcript.whisperx[204].start 6535.879
transcript.whisperx[204].end 6536.32
transcript.whisperx[204].text 委員會主任委員會主任
transcript.whisperx[205].start 6551.056
transcript.whisperx[205].end 6551.777
transcript.whisperx[205].text 公平會是委員會
transcript.whisperx[206].start 6569.696
transcript.whisperx[206].end 6596.366
transcript.whisperx[206].text 是不是送給你們那就是你們立場你要負責審核那公平會是委員制我們這麼大的案子一定要請到委員會討論那現在你5月份送資料給你們現在到8月份你們要求他們要補正資料補正資料現在是9月30號了又過掉兩個月了那資料送到沒有還沒有那個補正時間還沒到不是因為他是國外的公司就還沒有因為在公平交易法的第11條
transcript.whisperx[207].start 6598.167
transcript.whisperx[207].end 6616.64
transcript.whisperx[207].text 臺北有講到 這個第7項跟第8項裡面 如果正式受理之後 已經正式受理了嗎 正式受理還沒有 還沒有正式受理 文件齊備才正式受理他現在文件還沒有齊備 所以還沒有他如果再過了半年還沒送來呢 會不會取消 會不會取消所以 主委 你一直在講21條 我現在跟你講11條
transcript.whisperx[208].start 6624.005
transcript.whisperx[208].end 6641.434
transcript.whisperx[208].text 第7項第8項如果這個合併案件正式受理後需要經過30天內做出決定如果有必要性延期可以再延期60天如果最長最長的話只有90個公酬天就要做出決議5月送件現在9月底了你說資料期前才叫做正式送件那5月份就不算囉
transcript.whisperx[209].start 6652.912
transcript.whisperx[209].end 6653.392
transcript.whisperx[209].text 委員會主任委員會主任委員會主任
transcript.whisperx[210].start 6668.695
transcript.whisperx[210].end 6671.516
transcript.whisperx[210].text 對於本案是不是準結合需要到委員會討論那我們必須要有詳細的資料以後才能夠在委員會裡面做判斷
transcript.whisperx[211].start 6697.125
transcript.whisperx[211].end 6725.263
transcript.whisperx[211].text 所以你們現在連立場態度都沒有五月份送件到現在補件都一直遲遲不送來經過了年底他還沒辦法送來你還不能做個裁決公平會廢了算了廢掉算了一個公平會今天來了多少官員你一年處理十個案件處理這一個社會大眾擔心關心做到很大的傷害的事情你們到現在遲遲不處理
transcript.whisperx[212].start 6726.479
transcript.whisperx[212].end 6726.859
transcript.whisperx[212].text 公平會 公平會
transcript.whisperx[213].start 6754.798
transcript.whisperx[213].end 6773.713
transcript.whisperx[213].text 就這麼兩手一攤叫他們去報警他說他在這個平台上一開始教他怎麼玩股票到後面告訴他說你抽中了股票73張趕快把錢繳進來他問公平會這件事情是否如真但是公平會說去報案吧現在已經到法院了車手什麼都被抓了
transcript.whisperx[214].start 6774.333
transcript.whisperx[214].end 6797.098
transcript.whisperx[214].text 公平會只能這樣去報案嗎?所以我跟你聚焦再聚焦在這種問題上面今天早上每一個委員都講到這個公平會現在網路發達數位在這個平台上網路上在這個平台上已經串聯到這種程度了你公平會要化被動為主動不要看了報紙還不做事
transcript.whisperx[215].start 6798.178
transcript.whisperx[215].end 6809.642
transcript.whisperx[215].text 你們要去看這個平台上有沒有詐騙的有沒有不實的通通都有我們自己稍微有個頭腦能一看就是被騙的你一個人可以抽到73張的這個股票
transcript.whisperx[216].start 6812.618
transcript.whisperx[216].end 6812.878
transcript.whisperx[216].text 法定人數不足
transcript.whisperx[217].start 6828.783
transcript.whisperx[217].end 6852.623
transcript.whisperx[217].text 面對事實現在社會輿論上你們公平會就是讓所有大眾不要受到其害消費者也好店家也好外送平台都好需要你們站出來所以我現在說告訴你現在如果年底還沒有辦法把這個資料送齊的話你要看看這兩家有沒有必要性的合併你們要掀錢可以看一看
transcript.whisperx[218].start 6853.604
transcript.whisperx[218].end 6853.624
transcript.whisperx[218].text 好 謝謝
transcript.whisperx[219].start 6891.753
transcript.whisperx[219].end 6897.661
transcript.whisperx[219].text 呃謝謝大家呃等會在楊秋毅委員諮詢完畢我們休息5分鐘現在請陳婷菲委員諮詢呃謝謝朝委我們請公平會主委請李主委
transcript.whisperx[220].start 6914.78
transcript.whisperx[220].end 6933.367
transcript.whisperx[220].text 主委 剛剛大家一直在針對這所謂外送平台併購案 有對您有一些提問但是我們聽了您剛剛的一些回應 讓我們不免有一些擔心
transcript.whisperx[221].start 6935.27
transcript.whisperx[221].end 6961.151
transcript.whisperx[221].text 我們到底對於這個外送平台併購案我們的態度是什麼你一直說他還沒送進來還沒送進來所以我們還沒入案不是是你們的態度你們要想讓外界知道你們審這個案子的態度是什麼不是他今天送不送進來啊是你今天應該要態度先很明確跟大家說我們會堅持哪幾個原則這樣才對啊
transcript.whisperx[222].start 6965.818
transcript.whisperx[222].end 6982.517
transcript.whisperx[222].text 讓消費者還有我們的一些相關的對於這個產業產業者也好然後或許有一些爭議性的部分他們知道說我該怎麼做我們現在原則到底是什麼
transcript.whisperx[223].start 6983.858
transcript.whisperx[223].end 6984.318
transcript.whisperx[223].text 法定人數不足
transcript.whisperx[224].start 7004.89
transcript.whisperx[224].end 7005.29
transcript.whisperx[224].text 委員會主任委員會主任
transcript.whisperx[225].start 7024.219
transcript.whisperx[225].end 7045.251
transcript.whisperx[225].text 經濟利益跟限制競爭不利益如果負大於正那就沒有辦法轉所以這些事要經過包括市場界定的評估那幾點基本上根本都不用再問了你今天兩個最大的平台商外送平台結合之後它不會壟斷
transcript.whisperx[226].start 7047.168
transcript.whisperx[226].end 7066.996
transcript.whisperx[226].text 所有消費者的權益不會受損參議業者不會受損怎麼可能啊你光現在因為有競爭所以很多的消費爭議他不得不處理喔那現在有競爭消費爭議處理還這樣哩哩喇喇喔那如果沒有競爭的時候請問消費爭議誰理你啊你來就來啊你不愛尊稍會不會這個樣子
transcript.whisperx[227].start 7076.28
transcript.whisperx[227].end 7105.509
transcript.whisperx[227].text 所以 主委 您剛講的 我都可以跟您講黑海哥在暑克 兩個最大的外送平台現在 光跟我們服務處 不要說跟你們了服務處 很多的一個所謂服務案件的申訴大量刮開了所以我們認為 您們的態度一直讓大家不清不楚 不明不白
transcript.whisperx[228].start 7106.607
transcript.whisperx[228].end 7129.804
transcript.whisperx[228].text 所以才會搞得大家覺得說按照公平會會不會最後就這樣糊弄的就過了好來 主委在這個外送平台的部分你看喔消費者這個外送員他最大的疑慮是什麼他最大疑慮是什麼
transcript.whisperx[229].start 7130.964
transcript.whisperx[229].end 7131.684
transcript.whisperx[229].text 我們看到我們的參議業者呢
transcript.whisperx[230].start 7160.844
transcript.whisperx[230].end 7185.497
transcript.whisperx[230].text 參議業者疑慮是什麼這個抽成的%會不會提高這是參議院對阿抽成%會不會提高阿一定嘛因為剩一間嘛剩一間而已嘛而且大家要擠到這個窄門嘛他是不是會把條件拉高一定嘛條件拉高誰受害誰受害
transcript.whisperx[231].start 7186.753
transcript.whisperx[231].end 7212.239
transcript.whisperx[231].text 業者受害消費者也受害因為業者會轉嫁在消費者身上就這麼簡單所以光明獨赤的外送平台會造成多大的恐慌再來咧消費者的疑慮呢成本增加這個消費的這個成本也會增高是啊
transcript.whisperx[232].start 7214.361
transcript.whisperx[232].end 7229.58
transcript.whisperx[232].text 是阿所以消費者所擔心全部公務就齊了阿在餐飲業者身上所增加的在外送員身上所增加的全部就轉嫁在消費者身上就這樣阿所以
transcript.whisperx[233].start 7235.475
transcript.whisperx[233].end 7260.267
transcript.whisperx[233].text 外送平台剛好這三主要扮演角色外送員:餐飲業者:消費者這三個重點都跟你說如果合併之後公盲到期會面臨的狀況就是這麼嚴重所以如果我們公平會的態度沒有拉出來
transcript.whisperx[234].start 7261.744
transcript.whisperx[234].end 7287.993
transcript.whisperx[234].text 當然大家就會質疑啊所以主委我覺得我們台獨要跟我請測不過委員我們程序還是要照法定程序當然法定程序就是說你申報結合那你程序不齊備還是要通知法這些我們就齊備才能進入審議的程序主委你們就是都公平數所以所有的人民才會覺得公平會在幹什麼
transcript.whisperx[235].start 7289.281
transcript.whisperx[235].end 7311.774
transcript.whisperx[235].text 你們在講程序的同時要把你的原則一併提到就是你外送平台你有權利依照程序來申辦這樣的一個合併可是我公平會一樣我會依照哪幾個原則嚴格審慎來審議這樣的一個合併案
transcript.whisperx[236].start 7315.885
transcript.whisperx[236].end 7343.123
transcript.whisperx[236].text 如果你這兩個很清楚把它在一個平台當中正確的讓媒體知道誰會質疑你公平會的態度你公平會一直都講程序我們也一直談我們審查的面向就是剛才委員提到的這幾點這個我們審查的你是有問才講啊有問才講啊你們對外講都說他沒送進來他還沒送進來
transcript.whisperx[237].start 7346.141
transcript.whisperx[237].end 7360.437
transcript.whisperx[237].text 以為還沒送進來就沒你的事還沒送進來是他程序還沒送進來不代表他沒在做相關的動作所以你更應該把你的態度公平會的態度拿高
transcript.whisperx[238].start 7361.721
transcript.whisperx[238].end 7387.662
transcript.whisperx[238].text 所以為什麼我們每一次在公平會在做質詢在做預算審查的時候我們對公平會有那麼多的意見是因為你們的態度都不明你們態度都曖昧讓民眾很擔心讓消費者很擔心而且每一次所提到的任何正義性的問題你們最後都查無證據來結案
transcript.whisperx[239].start 7389.784
transcript.whisperx[239].end 7417.883
transcript.whisperx[239].text 那民眾要你們幹什麼好 再一個主委你如果加強要查緝廣告不實的部分現在所有的媒體越來越多不同的一些宣傳手法那在這個部分廣告不實其實會造成很多消費者的損害
transcript.whisperx[240].start 7419.292
transcript.whisperx[240].end 7419.592
transcript.whisperx[240].text 主動嗎?來,你們今年主動查了幾件?
transcript.whisperx[241].start 7443.017
transcript.whisperx[241].end 7443.817
transcript.whisperx[241].text 委員會主任委員會主任委員會主任委員會主任
transcript.whisperx[242].start 7462.104
transcript.whisperx[242].end 7483.701
transcript.whisperx[242].text 人家檢舉910件 你們才主動查110件好 你們110件主動查查的總共有幾件 有處分我們去網路監控有一萬多件那看出來有問題的我們去查的主動的有一千多件一萬多件 然後最後釐清之後算
transcript.whisperx[243].start 7484.642
transcript.whisperx[243].end 7488.883
transcript.whisperx[243].text 委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任
transcript.whisperx[244].start 7513.911
transcript.whisperx[244].end 7529.481
transcript.whisperx[244].text 所以你看喔查控從網路查查一萬多件最後一千多件最後正式立案110件最後有處分的40件這是什麼事啊
transcript.whisperx[245].start 7531.032
transcript.whisperx[245].end 7531.892
transcript.whisperx[245].text 910件民眾檢舉請問最後處分有幾件
transcript.whisperx[246].start 7551.558
transcript.whisperx[246].end 7563.163
transcript.whisperx[246].text 今年查的今年還在就是今年處理的今年還在查是好所以今年900億之間都是今年的嗎我們我們剛剛提到是說今年收辦的有
transcript.whisperx[247].start 7564.517
transcript.whisperx[247].end 7566.578
transcript.whisperx[247].text 910件目前還在查而且已經有處分的
transcript.whisperx[248].start 7585.131
transcript.whisperx[248].end 7586.952
transcript.whisperx[248].text 10月份,今天是9月30號,剩10月11、12,所以現在1000多件才處分40件
transcript.whisperx[249].start 7606.892
transcript.whisperx[249].end 7615.398
transcript.whisperx[249].text 委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任
transcript.whisperx[250].start 7636.152
transcript.whisperx[250].end 7636.552
transcript.whisperx[250].text 請邀請主委請你主委
transcript.whisperx[251].start 7668.087
transcript.whisperx[251].end 7680.482
transcript.whisperx[251].text 主委好,我們還是繼續來討論這個WhoPanda跟Uber Eats的這個事情那當時提出要併購的時候,大家引起各界非常
transcript.whisperx[252].start 7681.374
transcript.whisperx[252].end 7681.754
transcript.whisperx[252].text 外送市場八成九成
transcript.whisperx[253].start 7711.117
transcript.whisperx[253].end 7738.838
transcript.whisperx[253].text 會導致一家獨大所以本期要請教主委您的看法呢這個數字告訴你那您的看法呢如果第一大跟第二大結合將來就是一個市場它有獨佔的力量這個事實上會成全家一定的力量就八成九成嘛你也同意這樣的論點那所以要請教主委從公平會對於併購案的它有四個標準嘛您在哪四個標準啊
transcript.whisperx[254].start 7740.865
transcript.whisperx[254].end 7764.492
transcript.whisperx[254].text 我們會看它結合以後對於店家、餐廳、消費者還有外送員的影響這第一個面向第二個就是說其他的潛在的競爭者有沒有可能因此就進不來參與競爭再來就是說提高價格的可能性
transcript.whisperx[255].start 7766.294
transcript.whisperx[255].end 7787.227
transcript.whisperx[255].text 以及會不會跟其他的業者有聯合的行為這些都是會一起來考量那包括消費者外送員跟他抗衡的力量是不是談判力量就不對等這些都是我們要綜合判斷的因素您剛才所敘述的那麼如果在這兩家合併你同意合併的時候會不會產生這樣的現象
transcript.whisperx[256].start 7789.091
transcript.whisperx[256].end 7789.291
transcript.whisperx[256].text 市場集中度
transcript.whisperx[257].start 7804.021
transcript.whisperx[257].end 7828.424
transcript.whisperx[257].text 結合後併購方定價的能力第三個是合併後協同效果也就是聯合行為這個是最嚴肅的一個議題接下來就是市場的一個效益這是你基本的四大原則請你這四大原則你要背清楚所以這件事情到目前為止的進度到底是怎麼樣呢
transcript.whisperx[258].start 7831.469
transcript.whisperx[258].end 7851.489
transcript.whisperx[258].text 第一 剛才我講的那個回答就是有沒有送案進來了 請教這兩家有沒有送案進來有送案進來 五月有遞件遞件 接下來呢遞件以後 因為文件不齊備 我們通知補正通知補正 是你在五月份送來 多久以前通知補正
transcript.whisperx[259].start 7853.054
transcript.whisperx[259].end 7855.175
transcript.whisperx[259].text 本席要告訴你因為這個影響非常的巨大
transcript.whisperx[260].start 7879.228
transcript.whisperx[260].end 7886.993
transcript.whisperx[260].text 現在的社會面向就已經有把外送員的金額下降
transcript.whisperx[261].start 7888.038
transcript.whisperx[261].end 7910.036
transcript.whisperx[261].text 就已經有這樣的現象就已經有將這個合作廠商也要把他們的佣金要來提高所以最後的受害者就是消費者我們也希望達到三贏便利的一個三贏政策所以本席給你幾項具體的建議第一個必須要嚴審
transcript.whisperx[262].start 7911.817
transcript.whisperx[262].end 7932.346
transcript.whisperx[262].text 議員議員議員議員
transcript.whisperx[263].start 7932.446
transcript.whisperx[263].end 7954.821
transcript.whisperx[263].text 第3是否會影響到員工薪資.跟受僱者.以真正的守護大眾的權利這三項本席再提醒我們公平會當然剛剛你回答的那個四部語言的四部也包含在這裡面所以既然理念一樣一定要好好的嚴審保障我們所有人的一個權利
transcript.whisperx[264].start 7956.062
transcript.whisperx[264].end 7957.903
transcript.whisperx[264].text 請大家放心公平會會謹慎合理的來
transcript.whisperx[265].start 7973.252
transcript.whisperx[265].end 7979.614
transcript.whisperx[265].text 嚴審這個案子好那接下來本校請教2023年2月15號修正的氣候變遷因應法那當然針對於溫室氣體的排放量這個減量的基礎那國際間大家都朝這個方向那在這種情況之下6月19號的媒體報導有出現了不少的溫室氣體查驗人員相關課程
transcript.whisperx[266].start 7998.819
transcript.whisperx[266].end 8015.966
transcript.whisperx[266].text 讓民眾誤以為我受訓完我就能夠取得到這樣子的檢驗人員的license的一個證照但是環境部表示他跟你們公平會不斷的溝通認為此舉已經設為公平交易法的廣告不實
transcript.whisperx[267].start 8016.92
transcript.whisperx[267].end 8017.1
transcript.whisperx[267].text 委員會主席
transcript.whisperx[268].start 8034.609
transcript.whisperx[268].end 8034.749
transcript.whisperx[268].text 委員會主席
transcript.whisperx[269].start 8050.62
transcript.whisperx[269].end 8056.544
transcript.whisperx[269].text 本席請問針對本席的提問也就是環境部跟您說不是上完課廣告就直接拿到license你知不知道這回事啊
transcript.whisperx[270].start 8076.361
transcript.whisperx[270].end 8096.309
transcript.whisperx[270].text 這個實在是讓我們很訝異環境部已經公佈多次跟你們溝通他認為此舉已經違反了已經違反了公平交易法你們還到現在在這裡還沒有辦法回答本席你還讓民眾繼續被人家騙嗎你的功能在哪裡啊你知不知道環境部跟你講這個事情
transcript.whisperx[271].start 8105.72
transcript.whisperx[271].end 8131.155
transcript.whisperx[271].text 探綜合的一些宣稱以罪如果有一些訓練課程讓大家有誤解的情況他已經告訴你了怎麼如果環境部已經告訴你多次告訴你他告訴你已經違法了不要再有人傷害你趕快去查清楚好不好我們政府的橫向部門都沒有再聯繫你讓我非常的訝異啊
transcript.whisperx[272].start 8132.697
transcript.whisperx[272].end 8145.387
transcript.whisperx[272].text 請你趕快去查清楚告訴本席順便資料告訴本席再來一個議題國內呢我們現在的生活方式它豐滿的這個團購的方式對不對你們也是有
transcript.whisperx[273].start 8146.857
transcript.whisperx[273].end 8164.986
transcript.whisperx[273].text 有史以來第一次在9月11號的這個報導也就是穿戴式的空氣淨潔期廠商結盟消費者消費團體那總共呢你們也罰了就是有史以來公平會一口氣處罰團購事業與共同合作銷售共5家廠商你們也罰了80萬的這個
transcript.whisperx[274].start 8171.169
transcript.whisperx[274].end 8171.549
transcript.whisperx[274].text 委員會主任委員會主席
transcript.whisperx[275].start 8196.562
transcript.whisperx[275].end 8196.742
transcript.whisperx[275].text 委員會主任
transcript.whisperx[276].start 8212.847
transcript.whisperx[276].end 8213.167
transcript.whisperx[276].text 法定人數不足
transcript.whisperx[277].start 8232.295
transcript.whisperx[277].end 8232.595
transcript.whisperx[277].text 委員會主任
transcript.whisperx[278].start 8246.892
transcript.whisperx[278].end 8249.655
transcript.whisperx[278].text 主委 本期給你一個結論跟建議也就是說你好不容易手上頭一招
transcript.whisperx[279].start 8265.869
transcript.whisperx[279].end 8268.272
transcript.whisperx[279].text 委員會主任委員會主任委員會主任
transcript.whisperx[280].start 8283.746
transcript.whisperx[280].end 8289.032
transcript.whisperx[280].text 你們要著重在宣導告訴大家你像這樣的行為我已經開發了80萬喔你要宣導你現在開發了80萬有誰知道有誰知道少數人知道所以你只有發一個新聞稿誰給你看燈你應該要去找你怎麼樣宣導的管道
transcript.whisperx[281].start 8305.729
transcript.whisperx[281].end 8329.166
transcript.whisperx[281].text 加強宣導的管道預防重瑜治療你讓社會大眾知道你不要亂搞不要讓人家受害我會處罰的這樣子至少可以有一點惡主作用認同嗎這個我認同認同你趕快去做好不好你把你的方案要怎麼樣去推廣讓大家知道不要再犯法了這一點我覺得非常的重要你把你的方案詳細順便資料給本席好不好謝謝
transcript.whisperx[282].start 8338.282
transcript.whisperx[282].end 8339.013
transcript.whisperx[282].text 好現在休息5分鐘
transcript.whisperx[283].start 8512.1
transcript.whisperx[283].end 8512.689
transcript.whisperx[283].text 法定人數不足
transcript.whisperx[284].start 8696.442
transcript.whisperx[284].end 8718.964
transcript.whisperx[284].text 好現在正式開始開會請鄭天才委員質詢主席委員我們請李主委請李主委
transcript.whisperx[285].start 8725.848
transcript.whisperx[285].end 8752.139
transcript.whisperx[285].text 好主委好辛苦了這個還是要跟主委還有公平會的所有的同仁網路的詐騙其實他就是一個交易他用交易的手段然後去做詐騙這個這樣的一個情形非常非常的普遍
transcript.whisperx[286].start 8754.697
transcript.whisperx[286].end 8769.407
transcript.whisperx[286].text 臺灣已經這個被詐騙的金額最高的一個國家這樣的一個數字這個臺灣被詐金額佔GDP高達0.9%是已開發國家的第一換算絕對金額高達2000億台幣這麼高所以這個部分是一個
transcript.whisperx[287].start 8784.941
transcript.whisperx[287].end 8811.352
transcript.whisperx[287].text 當初公平教育委員會成立的時候或是我們的公平教育法制定的當時沒有這樣的一個情形所以要以時計進到底法不周延如何去修正這個應該是要現在都是交給警察單位
transcript.whisperx[288].start 8813.345
transcript.whisperx[288].end 8837.503
transcript.whisperx[288].text 主要是警察單位在處理這是錯誤的所以這個部分如果我們看公平交易委員會組織法第一條行政院為維護交易自信以消費者權益所以要成立這個公平會公平交易委員會組織法第二條
transcript.whisperx[289].start 8839.993
transcript.whisperx[289].end 8867.809
transcript.whisperx[289].text 這裏面掌理的事項如果跟剛才講的有比較有接近的話屬於的話不是接近屬於的話違反公平交易法案件之調查及處分所以像這樣的一個情形怎麼樣去去處理公平交易法第二條事業公司的比較少這種情形網絡詐騙
transcript.whisperx[290].start 8869.448
transcript.whisperx[290].end 8874.931
transcript.whisperx[290].text 公平交易法第25條除本法另有規定者外事業亦不得為其他足以影響交易自息之期望
transcript.whisperx[291].start 8899.386
transcript.whisperx[291].end 8927.545
transcript.whisperx[291].text 期望就是欺騙嘛對不對期望就是欺騙嘛所以這樣的一個情形之下這個公平會到底你們這怎麼樣去積極的如果法不足就修法人力不足就增加人力好 主委
transcript.whisperx[292].start 8930.137
transcript.whisperx[292].end 8945.692
transcript.whisperx[292].text 公平法的任務就如同您剛才提出來的我們是在維持一個公平競爭所以不可以有這個不公平競爭其中就是您提到不實廣告不實廣告這部分也是我們查處的重要的重點
transcript.whisperx[293].start 8946.713
transcript.whisperx[293].end 8974.693
transcript.whisperx[293].text 那不時如果涉及到詐欺詐騙這個又是一個不只是行政責任這是一個刑事責任我們就會移送司法機關去調查該搜索該調查的這個司法機關會去調查那確實公平會對於商品或服務不實的廣告我們是要應該積極去查處移送司法當然是應該所以怎麼樣公平會要去主動
transcript.whisperx[294].start 8976.414
transcript.whisperx[294].end 8996.939
transcript.whisperx[294].text 主動有很多種,已經發生的事情要主動,還沒有發生的要怎麼去讓人民去防範更重要,對不對,讓人民去防範更重要,就像過去多層次傳銷開始很慢,
transcript.whisperx[295].start 9001.222
transcript.whisperx[295].end 9013.839
transcript.whisperx[295].text 這個這個這個非常多的情況的時候你們有多很多的這個氣氣這個的先導讓人民知道怎麼樣去防範怎麼樣不要被受騙
transcript.whisperx[296].start 9015.396
transcript.whisperx[296].end 9037.623
transcript.whisperx[296].text 所以你們現在這個部分有沒有在做有第一個我們在除了在電視的跑馬燈或者是在這個跟大學跟司法機關還有在跟民眾之間我們都有定期的宣導會座談會這個一直是我們在做的一件事情我們全省各地都有在做宣導好這個你們除了
transcript.whisperx[297].start 9042.361
transcript.whisperx[297].end 9060.581
transcript.whisperx[297].text 除了我先把這個你們的對25條規定如何判斷事業行為是否過程第25條之期往或顯示公平。這裡面你們也判斷期往應考量的事項都有寫了。
transcript.whisperx[298].start 9062.233
transcript.whisperx[298].end 9090.649
transcript.whisperx[298].text 以積極欺瞞或消極隱匿重要交易資訊自引人錯誤之方式從事交易之行為冒充或是不實或是隱匿像這樣的你們要因為這個你們這個已經放很久了這樣的那個處理的一個原則放很久了或是要點你們要以時計進
transcript.whisperx[299].start 9092.293
transcript.whisperx[299].end 9120.639
transcript.whisperx[299].text 要去分析現況打些案件哪些案件網路哪些案件是已經怎麼樣去把它做一個修正更符合這個一個現況然後叫你們在做宣導的時候也會比較完備所以這個部分是要去加油的是
transcript.whisperx[300].start 9125.125
transcript.whisperx[300].end 9127.589
transcript.whisperx[300].text 這個公平交易法42條違反第25條有這個處罰你們對於這個違反25條有沒有相關處罰的這些
transcript.whisperx[301].start 9138.581
transcript.whisperx[301].end 9140.402
transcript.whisperx[301].text 你是不是把這個類型有哪些類型
transcript.whisperx[302].start 9167.705
transcript.whisperx[302].end 9173.268
transcript.whisperx[302].text 委員會主任委員會主任委員會主任委員會主任委員會主任委員會主任
transcript.whisperx[303].start 9190.455
transcript.whisperx[303].end 9190.935
transcript.whisperx[303].text 對於這個違反這個的
transcript.whisperx[304].start 9225.292
transcript.whisperx[304].end 9244.922
transcript.whisperx[304].text 我們要看他這個行為有沒有涉及到詐欺或是其他的這個法律禁止的行為會看這個案情來決定要不要移送或者是由公平法來處罰
transcript.whisperx[305].start 9246.348
transcript.whisperx[305].end 9273.391
transcript.whisperx[305].text 所以你們是折衣嗎?還是兩者並行?如果涉及到刑事,那因為司法機關調查就會移送給司法機關如果是行政處罰的適用範圍,我們就會去處理所以你們是折衣?如果依這個處罰,依公平交易法是12條處罰,你們就不移送了?如果沒有涉及到刑事的行為是不移送
transcript.whisperx[306].start 9273.991
transcript.whisperx[306].end 9292.546
transcript.whisperx[306].text 那你們也提供那個你們到底移送了哪些類型那後來這個這個法院判決會告訴你們嗎最後的結果法院的判決會跟我們會處理是不是也提供資料好的謝謝
transcript.whisperx[307].start 9305.136
transcript.whisperx[307].end 9306.638
transcript.whisperx[307].text 請邱志偉 召委諮詢
transcript.whisperx[308].start 9335.508
transcript.whisperx[308].end 9357.804
transcript.whisperx[308].text 好 謝謝主席 請李主委請李主委主委 先問一下那個每個月都會問 高通他的新聞承諾跟這個臺灣企業支持這些的方案目前之前狀況怎麼樣
transcript.whisperx[309].start 9359.738
transcript.whisperx[309].end 9381.685
transcript.whisperx[309].text 核解方案都有照核解條件在進行那去年也已經這個有沒有打折扣或者執行不力都有照這個7月進行都有還有幾年要執行執行的時間5年已經執行完畢而且我們把所有這個核解方案執行的結果那評估都已經上網公告
transcript.whisperx[310].start 9382.409
transcript.whisperx[310].end 9401.041
transcript.whisperx[310].text 所以對他們的相關的承諾或者這個之前相關的賠償你們都可以接受他目前所做的最後的結果都照和解條件在進行後面還有沒有那這些和解條件有些是延續性的會繼續去處理
transcript.whisperx[311].start 9403.317
transcript.whisperx[311].end 9429.508
transcript.whisperx[311].text 還有哪些需要去從和解條件再去跟我們說明他其實兩個方案啦一個是就是跟業者的授權的關係一個是這個增進台灣的一些相關的這個科技的發展那目前在持續進行的比如說一些創新競賽還有跟學校的一些合作這些方案都是他們承諾嘛是那現在你知道他要他要合併什麼他要購併人家公司你知道嗎
transcript.whisperx[312].start 9433.015
transcript.whisperx[312].end 9456.072
transcript.whisperx[312].text 有看到這個新聞,詳細情形你應該了解,他過病當然會對他承諾會不會造成影響啊他過病的機能非常大喔是,這個我們會注意七百多億,不是代表內,美金內七百多億人要過病,他是如果是自願還是非自願你要了解,那會不會影響到他之後承諾旅行的能力,會不會
transcript.whisperx[313].start 9457.845
transcript.whisperx[313].end 9484.617
transcript.whisperx[313].text 因為現在我們還沒有看到這個結核申報的案件那我們會注意我們提到的這些事情那那個是跟我們無關啦他是要購併英特爾啦對不對我是說他去購併對他公司的營運會不會對我們的執行我們的相關程度會不會受影響對啦如果是真的成案會不會對我們執行能力會造成影響這到時候我們要會去做一些評估好我們去看一下下一頁
transcript.whisperx[314].start 9488.072
transcript.whisperx[314].end 9496.829
transcript.whisperx[314].text 這個 再下一頁這個兩家外送平台的市場界定你完成了嗎
transcript.whisperx[315].start 9499.637
transcript.whisperx[315].end 9525.731
transcript.whisperx[315].text 我們過去市場界定是外送餐飲平台那現在市場怎麼界定我們還在評估當中一直評估評估很久那這個要整個資料齊備整個資料齊備以後我們各界關切的這些議題會通盤來處理那時間點能不能說一下你要市場界定什麼時候完成總不能無限期啊總要有個時間表啊主委市場界定有那麼困難嗎
transcript.whisperx[316].start 9529.155
transcript.whisperx[316].end 9550.864
transcript.whisperx[316].text 這個跟委員說明一下我們的程序是這樣子齁文件齊備之後進入委員會去討論市場界定也是委員會討論的一環我們目前請高通公司抱歉 請那個輔本大補件的期間是11月8號那我們會看他補件的情形應該是備齊了 備齊了才會正式受理
transcript.whisperx[317].start 9557.846
transcript.whisperx[317].end 9558.806
transcript.whisperx[317].text 委員會主任委員會主任委員會
transcript.whisperx[318].start 9586.635
transcript.whisperx[318].end 9612.47
transcript.whisperx[318].text 這個比較大的案件通常...我知道啦,這是跨國的,當然也不能無限期啊然後你四戰後,結合後的市佔率會不會超過五成?結合後市佔率會,會超過你看看過去啊,你處理這個購併案的結果只要大概五成,你大概都會禁止結合你看一下資料只要結合後市佔率超過五成,你大概就是禁止
transcript.whisperx[319].start 9614.23
transcript.whisperx[319].end 9622.3
transcript.whisperx[319].text 4層以下你大概都會有條件通過你從結果論來看那你這個結合之後你們4戰6戰多少應該有8層以上這樣你看這個結果會成不成
transcript.whisperx[320].start 9628.633
transcript.whisperx[320].end 9654.876
transcript.whisperx[320].text 這還要委員會討論我現在沒有辦法我看你們過去處理的結果來看嘛過去喔你只要有50%你就是禁止結合啦過去結合以後齁如果他市場力很集中我們在審議的時候會非常的這個謹慎另外企業運用AI收集消費者資訊並進行這個差別取價這部分會影響相關的法規這你們要注意一下這是我們會注意
transcript.whisperx[321].start 9655.657
transcript.whisperx[321].end 9675.82
transcript.whisperx[321].text B to B 你們用20條第二款,那B to C的部分,您這個要不要涉及修法,可能自己要考慮一下。主委,您知道嗎?我知道,我知道。你20條在裡面,你那個B to B大概可以來處理,但是B to C的部分呢,這個差別大於你沒有辦法試用啊。
transcript.whisperx[322].start 9676.874
transcript.whisperx[322].end 9705.157
transcript.whisperx[322].text 那未來這個大家都已經提供給你這個可能會發生的問題嘛我們會看看他跟競爭的影響啦最後還是回到這個競爭面你要先了解說那個人工智慧基本法第11條這相關的規定是不是可以符合你這個會對你的業務不會造成影響是這我們有小組在討論這個我們有一個公民會有一個AI他人工智慧基本法草案在立法過程中有沒有問公民會的意見
transcript.whisperx[323].start 9706.65
transcript.whisperx[323].end 9710.172
transcript.whisperx[323].text 人工智慧基本法訂出來之後你公平會可能會變成消費者進行個人化的定價這帶來風險
transcript.whisperx[324].start 9736.817
transcript.whisperx[324].end 9742.082
transcript.whisperx[324].text AI的發展跟各部會的法規的協調調和是一個非常重要的要去關注的你要去跟主管機關去反映
transcript.whisperx[325].start 9766.248
transcript.whisperx[325].end 9794
transcript.whisperx[325].text 現在就是說以目前來以目前的狀態公平法的規範他如果涉及到競爭的議題目前可以處理那當然細部有沒有不足的地方我們再來評估是不是可以針對這部分你提一個書面報告給我是一個月之內好的好不好那回到剛才啊你這個跨國企業集合案我看你時間都沒有一個時間表然後這個每次問你還在收集資料還在提供資料
transcript.whisperx[326].start 9795.786
transcript.whisperx[326].end 9796.267
transcript.whisperx[326].text 委員會主席
transcript.whisperx[327].start 9815.748
transcript.whisperx[327].end 9841.837
transcript.whisperx[327].text 按主管機關審查的時間法律上是有規定的就是30天文件期備30天可是補件資料那個補件的時間要看各案件的不同文件期備的準備期你沒有限制啊就現在你還沒有立案嘛因為每個案件的情況不一樣我要遵守這個發言人的這個時間時間到我就要遵守這個我當然知道我要以身作則
transcript.whisperx[328].start 9849.737
transcript.whisperx[328].end 9875.599
transcript.whisperx[328].text 請蔡易瑜委員質詢好,他換鍾嘉斌好,那我們現在請鍾嘉斌委員質詢優先主席在黨委員先進,列席總經事長、官員、會長、觀眾夥伴、媒體、自由女士先生有請主委請李主委
transcript.whisperx[329].start 9882.115
transcript.whisperx[329].end 9906.216
transcript.whisperx[329].text 主委好 時間很緊迫 我很簡短的問 最近大家很關心的就是Uber Eats跟Panda它的併購問題你覺得為了保持市場競爭 我們應該評估的交易關係者有哪些至少包括外送員 消費者 還有餐廳所以我這邊少了一個外送員 對不對所以你連外送員都考慮進去 我覺得很好好 那我們往下看
transcript.whisperx[330].start 9906.946
transcript.whisperx[330].end 9933.217
transcript.whisperx[330].text 其實我這邊過去曾經舉過例子在美國對於AT&T在數十年前被強制拆分成七個公司你覺得這是根據什麼法你所了解的?因為AT&T是獨佔嘛它在美國它是一個算是有限電視有限通訊的部分那您覺得台灣有在公平會我們除了合併之外有可能像美國這樣要求一個獨佔事業強制拆分嗎?
transcript.whisperx[331].start 9933.888
transcript.whisperx[331].end 9951.875
transcript.whisperx[331].text 我們會看案情那你認為過去我們在核准有線電視系統業者的時候我們把它規劃成51個區那除了少數區之外當年每個區都是一個業者你覺得這樣符不符合我們一個公平交易所要保持的市場秩序
transcript.whisperx[332].start 9954.08
transcript.whisperx[332].end 9954.34
transcript.whisperx[332].text 有線電視系統業者
transcript.whisperx[333].start 9975.919
transcript.whisperx[333].end 9991.273
transcript.whisperx[333].text 公共的網路這網路的基礎建設大部分是政府完成的加上使用的訊號頻寬是屬於政府可以來管制的所以政府當然可以予以限制那你覺得這個外送平台外送員是不是使用公家的道路公共道路
transcript.whisperx[334].start 9993.154
transcript.whisperx[334].end 10010.725
transcript.whisperx[334].text 有,一定要在馬路上送嘛,他用的都是公共基礎建設嘛所以他的營業的範疇是建立在政府的基礎建設之上所以政府構不構成政府介入去過問這個外送平台使用公共建設所產生的市場秩序的一個依據
transcript.whisperx[335].start 10014.018
transcript.whisperx[335].end 10038.311
transcript.whisperx[335].text 不管他有沒有用到公共建設,所有的事業都要符合市場經濟資訊。是,但是他如果用公共建設的時候,我們政府就更有介入去管制的空間。我舉例,UBER EAT或HOOPENTA他有沒有用到資訊流,有嘛。他的副管要用金流,都是要網路基礎建設嘛。他的物流用公共道路嘛。他目前的大量使用公共基礎設施。哪一個類似的情況我舉個例,往下看。
transcript.whisperx[336].start 10039.175
transcript.whisperx[336].end 10067.395
transcript.whisperx[336].text 好 有線電視因為這樣的關係他有自然獨佔的行程所以要求政府介入再往下看那麼我們在關於我們的這個外送平台當中副院長主持的消保會當中他規定了兩件事情第一個他認為他在資訊流的部分還有第三方資物的部分物流跟資訊流他希望速發部來主管但是外送員他說叫做貨運業屬於交通部的特許事業你認同這樣的一個主管權責嗎
transcript.whisperx[337].start 10069.262
transcript.whisperx[337].end 10088.569
transcript.whisperx[337].text 為什麼是貨運業在交通部有他的主管法規?對,他們認為外送員就是在從事貨運那至於跟這個他的外送平台之間是一種承攬關係還是一種勞僱關係當然那是另外一件事情但是他們使用公共道路運交貨物就是一個特許行業好,那我們現在看
transcript.whisperx[338].start 10089.164
transcript.whisperx[338].end 10114.865
transcript.whisperx[338].text 所以我們政府要討論到底要不要介入去訂定合理的運費運費包括兩種一種是消費者付的第一種是外送員拿到的那這兩種包括消費者利用資訊平台跟外送資訊公司跟外送平台下單然後下面有一個貨運公司將這個餐飲從餐廳由外送員送到顧客的手上這裡面包含了很多的部分我們往下看
transcript.whisperx[339].start 10115.706
transcript.whisperx[339].end 10116.187
transcript.whisperx[339].text 經濟委員會主任委員會主任委員會
transcript.whisperx[340].start 10131.5
transcript.whisperx[340].end 10151.576
transcript.whisperx[340].text 換言之,未來你們在審查WhoPanda跟UberEat,它不是只是審查一個資訊平台、兩個資訊平台合併與否,它事實上還包含了兩個金流支付公司要不要合併,還包含了全台灣那麼多使用地方政府管轄道路的貨運業務,要不要做一個整併的問題,您同意嗎?
transcript.whisperx[341].start 10152.617
transcript.whisperx[341].end 10173.533
transcript.whisperx[341].text 我想就是說各個法規怎麼規範就由各個法規那回到不管有沒有結合都是從競爭秩序是競爭秩序你認為在一個縣市當中兩個客運公司的競爭你們要考慮它的市場秩序嗎?都要考慮好那你們認為一個高雄的外送員可能送餐到台北市嗎?
transcript.whisperx[342].start 10175.868
transcript.whisperx[342].end 10192.677
transcript.whisperx[342].text 理論上是不太可能因為餐飲有它的實效性所以理論上如果是貨運平台外送的這個貨運物流的階段往下看它事實上它是一個各區域各自分開的所以未來如果這兩家外送平台他們在談合併的時候
transcript.whisperx[343].start 10195.979
transcript.whisperx[343].end 10219.246
transcript.whisperx[343].text 你們不管最後做於同意或不同意都應該思考到未來你們所關心的剛剛你講的外送員的權益他是附著在一個貨運地區性的貨運的一個業務上那這樣的貨運業務必須合理的投射回來你們在審查這兩個表面上以資訊公司合併的案例來看待
transcript.whisperx[344].start 10220.026
transcript.whisperx[344].end 10228.874
transcript.whisperx[344].text 金流的部分他們如果兩家合併超過20億就不是歸速發部第三方支付所主管會歸金管會主管這你們知道嗎
transcript.whisperx[345].start 10230.66
transcript.whisperx[345].end 10250.109
transcript.whisperx[345].text 你們知道對不對 如果他們兩個合併的話 金流的部分 他們的業務主管機關就要轉移了 就要從哪裡 從速發部轉移到金管會了金管會是我同意 那就是另外一件事情 但是物流的部分 要不要拆分 公平會要不要做出一個明白的表示
transcript.whisperx[346].start 10251.719
transcript.whisperx[346].end 10269.42
transcript.whisperx[346].text 在審結合的部分你們會不會同時規範它物流的部分可否結合我想這個到時候要再整個來看好那今天本席要提醒你既然一開始你就告訴我這一次的他們兩家的結合不是只有金流的部分不是設餐廳不是設消費者
transcript.whisperx[347].start 10270.741
transcript.whisperx[347].end 10271.001
transcript.whisperx[347].text 請陳昌明委員質詢
transcript.whisperx[348].start 10308.066
transcript.whisperx[348].end 10328.862
transcript.whisperx[348].text 主席首先有請我們的李主委請李主委主委我現在頭很大會麻煩你曉得有時候你們公平委員會做一個決定
transcript.whisperx[349].start 10330.218
transcript.whisperx[349].end 10358.237
transcript.whisperx[349].text 會讓一家公司請假上場無以為盡那苗栗縣有一家直銷公司我也請你來了解整個狀況人家好好的一家公司在經營但是你公平委員會裡面堅持送到檢調單位還變成擴大偵辦結果這家公司打了8年的官司都要到最高法院打贏了但是財產也被查封什麼資料都被查封
transcript.whisperx[350].start 10359.448
transcript.whisperx[350].end 10373.356
transcript.whisperx[350].text 阿現在要重新開倉會困難重重我替他找每一家銀行說重新大家都說有紀錄不願意辦阿這現在我管事派阿你公平委員會跟我提出提告
transcript.whisperx[351].start 10374.682
transcript.whisperx[351].end 10397.609
transcript.whisperx[351].text 結果贏了,你們都不用負責任。人家要再繼續再經營,也得不到尋求解決的辦法。你也有一點辦法,把民間的企業稅就提高,就升到檢調單位,現在要怎麼來辦?我跟你講,我花了大概4、5個月,帶他到一家銀行,去銀行都不辦。
transcript.whisperx[352].start 10398.792
transcript.whisperx[352].end 10403.315
transcript.whisperx[352].text 實在你這個提出跟人家送到檢調單位最後打死了你們真的要出來負責任啊?你 看法怎麼樣?
transcript.whisperx[353].start 10415.526
transcript.whisperx[353].end 10436.978
transcript.whisperx[353].text 那個委員您講的是具體是哪一家公司?清雲直銷公司慶餘嘛,就是那個骨灰攤那個骨灰攤,那個案件我會了解,來處長你說他最後打贏了吧,最後法院打贏了嘛,這間公司危機倒閉了不是個案,這個是由你們發動的
transcript.whisperx[354].start 10442.142
transcript.whisperx[354].end 10445.904
transcript.whisperx[354].text 我聽不清楚戴著口罩我真的聽不清楚你講的靠近麥克風一點吶
transcript.whisperx[355].start 10456.317
transcript.whisperx[355].end 10475.348
transcript.whisperx[355].text 是,跟委員報告,這個案子呢,它是在我們102年的6月,我們有接獲這個慶允公司,它涉及到這個變質。沒有啦,我不講那個內容,只有你們提告,官司打贏了,所有受審要如何來負責,你們公平委員會要如何去負這個責任。
transcript.whisperx[356].start 10476.889
transcript.whisperx[356].end 10477.469
transcript.whisperx[356].text 委員會主任委員會主席
transcript.whisperx[357].start 10497.098
transcript.whisperx[357].end 10524.195
transcript.whisperx[357].text 這個剪掉當中去處理一家豪華公司你們提出來要充斥很充足最後人家打贏了阿你要如何解釋不要隨隨便便不要為自己辯護那司法的判決他贏了表示你們錯了你來跟我一起討論來解決我帶你去你們要負責任我只有一句話不是這樣提高下去沒你們的事
transcript.whisperx[358].start 10526.414
transcript.whisperx[358].end 10548.585
transcript.whisperx[358].text 人家辛辛苦苦幾十年打拼出來的事業還在這裡毀於一旦你們有沒有良心啊注意一下這樣的情形好不好不要講說你們辦案的經過我們也一清二楚好不好那麼堅持結果導致一個廠商倒閉啊養了很多人啊
transcript.whisperx[359].start 10551.602
transcript.whisperx[359].end 10576.347
transcript.whisperx[359].text 這位要不要一起來負這個責任 不然每天來找我 我的頭很大就是說公務員遇到有涉法的案件移送檢調單位那至於他有罪無罪或有沒有違法就是由司法機關才認定結果是沒有違法那基本上公務員我們沒有這個調查的權利沒有辦法百分之百保證他違法才移送這個還是要去進行司法機關的調查
transcript.whisperx[360].start 10579.551
transcript.whisperx[360].end 10606.82
transcript.whisperx[360].text 好不好這個委員還不如申請公平也打不贏這個時間太長了起碼我打贏了你們送檢調單位也幫我們負責責任發委因為我們不知道法院會判決有罪無罪但是我們發現涉及到違法行為我們沒有起訴我們是把這個疑似犯法案件檢察官一定要接調查要怎麼樣
transcript.whisperx[361].start 10608.669
transcript.whisperx[361].end 10609.61
transcript.whisperx[361].text 那再來今天最熱門的話題
transcript.whisperx[362].start 10636.227
transcript.whisperx[362].end 10656.04
transcript.whisperx[362].text 那個Uber Eats跟Panda Food 307億兩家都外商公司我現在發覺臺灣的官員都沒有兩隻腳很硬尤其高通的事件給我感觸非常深法環可以當作說用投資來轉變我等一下時間可能不夠
transcript.whisperx[363].start 10657.421
transcript.whisperx[363].end 10678.358
transcript.whisperx[363].text 那你們確定要怎樣?兩家起來,外商以求以勤。那個李知偉,我不曉得你有沒有擔當會讓他們合併嘛。占了將近80%的市場。兩家外商大公司來,你受得了嗎?從高通裡面就看出你執政黨就永遠這樣,碰到外人的話。
transcript.whisperx[364].start 10679.349
transcript.whisperx[364].end 10699.263
transcript.whisperx[364].text 就腳就軟下來,碰到臺灣的廠商就冰冰的砍殺我們不會有這種差別待遇,都是照法律來審查我跟您講,看到您覺得很遺憾,您覺得他來拜託的那個樣子,我們心中很難過,你們都不覺得難過公務員到現在我一向都是依據法律來處理
transcript.whisperx[365].start 10705.275
transcript.whisperx[365].end 10728.62
transcript.whisperx[365].text 阿你這個關於Uber Eats跟呼搭配你會不會同意阿?大家議論紛紛阿我是覺得不要有競爭才有進步不可能給他們聯合結合在一起那外商要吃你很容易不要講的時候板口的逆道德要賺台灣的錢什麼手段都可以使得出來你看法怎麼樣?
transcript.whisperx[366].start 10729.798
transcript.whisperx[366].end 10733.164
transcript.whisperx[366].text 公平會我們一定會針對這麼重大的結合案件依法審慎處理不會因為這個國人或者是外商有不同的處理
transcript.whisperx[367].start 10743.476
transcript.whisperx[367].end 10748.541
transcript.whisperx[367].text 臺灣改變的形態,吃的形態也改變很快,慎重慎重。不要碰到外山就腳軟了,什麼都答應。
transcript.whisperx[368].start 10765.959
transcript.whisperx[368].end 10790.41
transcript.whisperx[368].text 關於高通快要結束了我看你的報告我也不知道你到底在說什麼講得很多但是其實那個7億的賠償單位投資到處去挖角拿這個錢去蓋他們的大樓這叫做投資你到現在為止他的晶片所有的挖坑政府機關他也不便於抱怨
transcript.whisperx[369].start 10791.718
transcript.whisperx[369].end 10819.007
transcript.whisperx[369].text 他的競爭對手就是蓮花科兩以外人不以家農7億工研院藝人的預算大概就是210億剛好跟這個金額差不多你們這樣前去的臺灣沒有一點利益就已經絕世了就媽媽夫婦不用了事過去我們都有那個跨部會在處理我們在這裡都照這個和解條件在做國科會他們的社會誰敢去得罪他
transcript.whisperx[370].start 10820.79
transcript.whisperx[370].end 10843.401
transcript.whisperx[370].text 聯發科是自立自強更生起來的長到世界上沒有你把他保持下去做成了集體會議開講座好政府當時我都不知道怎麼想我都不能懷疑外商都不能懷疑美國論美國講什麼要跟著什麼你炒人造成聯發科競爭很大之餘7億
transcript.whisperx[371].start 10845.32
transcript.whisperx[371].end 10845.5
transcript.whisperx[371].text 主委
transcript.whisperx[372].start 10877.761
transcript.whisperx[372].end 10889.055
transcript.whisperx[372].text 請紅夢開委員質詢主席謝謝麻煩請李主委請李主委
transcript.whisperx[373].start 10896.069
transcript.whisperx[373].end 10915.337
transcript.whisperx[373].text 主委好主委好主委我想很多民眾以及本席以及委員都很關心這個外送平台的整併合併事件然後併購案件那我想先確認一下因為上午你也回答相關是說他們是在今年5月有送件是不是是那5月30號就已經要求他們不見是
transcript.whisperx[374].start 10916.477
transcript.whisperx[374].end 10943.257
transcript.whisperx[374].text 那到目前為止都還沒有補件他有陸續補正但是還有一些不清楚的部分陸續補所以陸續補正陸續補但是一直我們通知補正就是他補來那我們再看一看有些需要補正我們陸續要求他補正那我想請教是我們公平會沒有把他需要補齊的所有資料一次跟他講清楚還是說他們是慢慢拖就是今天送一個明天送一個
transcript.whisperx[375].start 10943.746
transcript.whisperx[375].end 10946.531
transcript.whisperx[375].text 那我們一般來講過去到現在法令規定我們這樣子的一個審理案件最長我們允許多久的補件期間
transcript.whisperx[376].start 10958.032
transcript.whisperx[376].end 10983.68
transcript.whisperx[376].text 我們沒有這個限定補正的期間那補件完畢正式受理我們有這個審查的法定期間是審查法定時間所以到目前為止都還沒有算因為補件期間每個企業大小補件的情形不一致所以我們盡量讓公司有補件的機會這個文件越齊備我們的這個審查品質才能夠做審理
transcript.whisperx[377].start 10985.14
transcript.whisperx[377].end 11005.917
transcript.whisperx[377].text 好那之前有提到是說會承諾要開公聽會或是相關來去了解我們不管是產業面本席之前也提過嘛就說這個外送平台整併無最重要是我們要看到的是餐廳業者能不能因此而保障他的權益外送員能不能保障權益以及消費者三方面
transcript.whisperx[378].start 11006.698
transcript.whisperx[378].end 11034.293
transcript.whisperx[378].text 那這個公聽會什麼時候會開始我們公聽會已經開了北中南東全部都開了那除了這個立法院委員也很關心有開公聽會委員有開委員的部分但是公平會自己本身公平會從6月開始就開始展開了北中南東那目前大家的一個消息跟訊息大家的這個政法意見都有都有原則上是譬如說
transcript.whisperx[379].start 11036.114
transcript.whisperx[379].end 11053.427
transcript.whisperx[379].text 外送員的關切、消費者的關切還有餐廳的關切這一部分意見都有了那所以是不是就我們大家的了解嘛最主要大家還是希望是說能夠保障這三方面的權益嘛外送平台在這中間當作是一個橋樑但最主要它是串聯
transcript.whisperx[380].start 11054.688
transcript.whisperx[380].end 11081.699
transcript.whisperx[380].text 餐廳消費者以及外送員三方面的一個權益所以說是不是能夠要保障這三方面的權益不要因為說他們這樣的一個診病而有所受損這才是我們公平會的重點我們的審查重點是從這個競爭交易秩序的改變來看那當然您提到的外送員消費者平台的這些都是考量因素但是我們最終還是要看整個結合的經濟利益有沒有大於限制競爭的不利益
transcript.whisperx[381].start 11083.22
transcript.whisperx[381].end 11109.996
transcript.whisperx[381].text 提高價格的能力會不會跟其他業者聯合的可能性還有消費者店家跟外送員跟他談判的能力是不是有什麼樣的改變會綜合評估所以你這樣講那不就是很明顯的嗎因為現在我們也看到過去有名的錢櫃好樂迪的一個合併到時候公平會還是不允許嘛是不是那錢櫃跟好樂迪他們合併他們最後加起來市佔率有多少
transcript.whisperx[382].start 11110.492
transcript.whisperx[382].end 11111.533
transcript.whisperx[382].text 委員會主任委員會主任委員會主任委員會
transcript.whisperx[383].start 11134.059
transcript.whisperx[383].end 11155.701
transcript.whisperx[383].text 我想你一定會這樣講啦但是本席要提醒啦其實最重點在於是國際社會裡面最近這段時間有沒有去找說國際社會裡面其他國家有這個外送平台的一個診病的一個案例其他國家是有啦譬如說在韓國在其他國家有那我想每個國家的情況是不同
transcript.whisperx[384].start 11156.221
transcript.whisperx[384].end 11163.929
transcript.whisperx[384].text 所以有些國家是有成功 有些國家是沒有成功嗎國家會要求做一些這個條件 負條件 情況是不一樣
transcript.whisperx[385].start 11164.477
transcript.whisperx[385].end 11190.399
transcript.whisperx[385].text 是 所以其實 主委本席的重點還是強調啊為什麼我們會點出來就是因為過去到現在我們已經很關心而更重要的是本席也認為你既然公平會現在要做這個審查你也講到了其實未來的方向其實還是希望是市場能夠健全的而不希望是說有壟斷的一個狀況發生那就應該還要有一些相關的一個法令工具能夠來做使用
transcript.whisperx[386].start 11190.839
transcript.whisperx[386].end 11211.594
transcript.whisperx[386].text 而勞動部也有要求說公平會應該在審查合併案的過程裡面要把相關部會都納進來決策的過程嘛對不對有有我們也都有徵詢他們的意見是所以說未來你們在做審查的時候是不是幾個行政部門的部分也應該都要同時的納入而不是只是聽委員的聲音
transcript.whisperx[387].start 11213.815
transcript.whisperx[387].end 11238.493
transcript.whisperx[387].text 我們跨部會的意見都會一起呈現讓委員去了解那本席也說本席現在跟幾個委員我們都共同希望能夠推動外送專法的一個訂令為什麼因為不管它合併與否外送專法其實才是真真正正能夠法制化並且讓很多我們有疑慮的地方
transcript.whisperx[388].start 11239.033
transcript.whisperx[388].end 11267.249
transcript.whisperx[388].text 包含是說他即便是他們沒有合併但是兩家業者其實就算是這個市場的一個一二名也算是市佔率非常高如果兩家有默契想要去做調整不管是減少外送員的一個權益或是提高這個餐廳的一個支出那其實某種無形當中市場也都很容易被壟斷所以外送專法才是能夠真真正正保障並且訂立一些最基本的法制的一個門檻
transcript.whisperx[389].start 11268.584
transcript.whisperx[389].end 11270.5
transcript.whisperx[389].text 主委針對這部分你有什麼想法
transcript.whisperx[390].start 11271.152
transcript.whisperx[390].end 11300.165
transcript.whisperx[390].text 我想外送專法他可能涉及到非常多的面向那這個會應該是各方面去評估來決定是不是需要專法是啊但是本席現在要提醒的是說就公平會在審理這個合併案件的過程當中你們會有提出如果說未來真的有這個方向的話也有可能有提出一些限制的條件但限制的條件都不及一個法令的一個要求以及限制來著有保障
transcript.whisperx[391].start 11301.147
transcript.whisperx[391].end 11301.807
transcript.whisperx[391].text 請蔡易瑜委員質詢
transcript.whisperx[392].start 11330.462
transcript.whisperx[392].end 11333.703
transcript.whisperx[392].text 謝謝主席 那我們是不是有請這個李主委請李主委主委好本來也是想要跟你說這個外送平台的事情 我們就看整個早上很多立委都這樣都問了啦齁 我也沒有比較高門 所以我來換別題啦齁 這個主委
transcript.whisperx[393].start 11355.157
transcript.whisperx[393].end 11360.455
transcript.whisperx[393].text 事實上歐盟吼他們針對現在進行看牌然後嗯
transcript.whisperx[394].start 11362.264
transcript.whisperx[394].end 11387.472
transcript.whisperx[394].text 歐盟有針對這個今年年初的時候歐洲議會593票比21票壓倒性的一次都通過一個反票率法令就是說他為了很多企業說我都符合現在的淨零碳排我是屬於現在的一個環保的一個企業
transcript.whisperx[395].start 11388.012
transcript.whisperx[395].end 11393.414
transcript.whisperx[395].text 就是說企業會用這樣的話術然後來告訴消費者然後讓消費者說他是一個比較符合這個零碳牌的他一個比較符合這一個比較先進的一個產業然後讓消費者去購買他的商品可是事實上就有發現了很多弊端就像過去歐盟曾經發現有一家製造衣服的很有名的一個品牌
transcript.whisperx[396].start 11417.082
transcript.whisperx[396].end 11441.09
transcript.whisperx[396].text 他說他都用回收材料來做成他的衣服但是後來被查出來他的回收材料佔他的衣服的裡面只是一小部分所以他就有涉及到了誤導消費者然後最近還有一個就是奧德奧地利航空他說他都用永久的航空燃料他是叫SAF然後所以他已經建行了實踐了這個碳中和的飛行
transcript.whisperx[397].start 11443.547
transcript.whisperx[397].end 11462.28
transcript.whisperx[397].text 然後後來也被認定說這個對消費者有欺騙所以他被提告甚至後來直接被開罰了所以歐盟現在針對這件事情他覺得說哇現在大家都把ESG都把這個淨零碳排標榜的這樣非常的神聖偉大
transcript.whisperx[398].start 11462.84
transcript.whisperx[398].end 11473.01
transcript.whisperx[398].text 阿所以企業也都說 我有怕 我有怕阿甚至台灣現在很多產業勒他也都不知道所謂淨零碳排他是整個有一個路徑的問題就是說我一個商品我從這一個生產端就是說我位
transcript.whisperx[399].start 11480.197
transcript.whisperx[399].end 11493.541
transcript.whisperx[399].text 原料到最後產品的形成它是不是有符合所謂的那個淨零碳排減碳的效果啊有的企業不知道他說我就辦公室我這裡全部人多兩個我辦公室的電我用綠電這樣我就符合符合這個淨零碳排啊然後我就說我是誰綠色能源綠色能源企業啊就自己說啊所以主委針對我剛講的這個狀況那我們公平會有打算做怎樣的因應嗎
transcript.whisperx[400].start 11510.089
transcript.whisperx[400].end 11511.01
transcript.whisperx[400].text 經濟委員會主任委員會主席
transcript.whisperx[401].start 11532.184
transcript.whisperx[401].end 11555.017
transcript.whisperx[401].text 這個碳排你其實要先盤點要盤點我放多少量我要移除多少量那加減不足才去買碳權等等所以如果企業他只是簡單的講說我符合這個淨零碳排我符合碳中和這個資訊的接受不清楚的是應該講清楚是啊所以就會有這樣的狀況因為事實上企業可能他會用很多名詞都天海中作戰
transcript.whisperx[402].start 11556.117
transcript.whisperx[402].end 11574.364
transcript.whisperx[402].text 環境友善,氣候中和,我使用可分解的原料,或者是生態友善,哇,這件事每天都很漂亮。消費者,我們這樣的消費者,我們也希望說我們的消費行為可以讓全球減碳盡一份責任,我也要去買這樣的產品啊。
transcript.whisperx[403].start 11575.837
transcript.whisperx[403].end 11601.036
transcript.whisperx[403].text 所以他們說他用什麼材料你就要看是那個材料但是用這些材料不等於碳中和所以這個環境部有這個指引那如果這個企業他有這些宣稱結果跟事實不符不符的話那就是用公平交易委員所以主委我是要問你的態度因為台灣也是台灣雖然我們不是歐盟沒有向他們走到說歐盟他們是要施要立法
transcript.whisperx[404].start 11601.877
transcript.whisperx[404].end 11629.5
transcript.whisperx[404].text 他們叫做用法令的方式所以他是在2026年要完成這樣的法律所以他認為說雖然淨零碳牌是一個目標但是不能欺騙消費者依然是一個最重要的事情那我們台灣的態度呢我想這個全世界都會遇到台灣現在也看到很多建築業標榜他是綠建築但是綠建築的標準在哪裡也許建築法歸有
transcript.whisperx[405].start 11630.821
transcript.whisperx[405].end 11654.673
transcript.whisperx[405].text 但是對於消費者而言他接受到的這些資訊是否是公平的他有辦法自己很清楚的知道這個資訊可能他的訊息沒有給你完整他只是部分使用綠電他沒有事實上他的生產過程並不是整個都是符合這個碳排的一個效果
transcript.whisperx[406].start 11655.373
transcript.whisperx[406].end 11678.291
transcript.whisperx[406].text 阿這個東西 公平會我們要有一個態度嘛就是說他們如果宣稱不實 環境部的法令沒有特別的規定 這公平會有處理空間阿你不實 你要講什麼就要做到什麼 這個在公平法是可以處理的這第一類 第二類 我這裡面有講 那現在有很多的人也跳出來說我要開課程
transcript.whisperx[407].start 11679.737
transcript.whisperx[407].end 11697.157
transcript.whisperx[407].text 因為我要教這些企業怎樣可以達到淨零怎樣是可以把碳盤採你們的產品怎樣可以碳中和然後就有很多人出來開課那這個開課的過程基本上他也沒有辦法讓這些企業因為上了這些課後
transcript.whisperx[408].start 11697.958
transcript.whisperx[408].end 11711.33
transcript.whisperx[408].text 他就可以取得相關的認證或者是怎樣的證書但是他們在於開課的時候他們都會說我們是怎樣的我們是怎樣經過認證過的所以就會產生很多類似這樣的一個詐欺因為他們這個課程相對很貴
transcript.whisperx[409].start 11719.797
transcript.whisperx[409].end 11744.165
transcript.whisperx[409].text 這公平會這件事要不要管就是說他如果說他上了這個課可以拿到什麼認證結果沒有那我們會去了解你是講的那個認證是什麼認證那如果民使不符這個在公平網也是有介入的空間注意我要跟大家講這個事情會越來越多這個你不用懷疑因為整個國家整個全世界全球都是這樣在走啊所以每一個企業第一自身有壓力
transcript.whisperx[410].start 11745.88
transcript.whisperx[410].end 11772.966
transcript.whisperx[410].text 第二企業也想要讓消費者相信他們是有做到的可是事實上他們有沒有做到這件事情是一個大的問號因為他們需要第三方的驗證包括這個第三方的驗證是不是真的符合這個也有問題所以你現在就是說驗證公司這間公司是什麼來歷的他是阿薩布魯的公司還是他真的全世界走得通的驗證的公司
transcript.whisperx[411].start 11774.361
transcript.whisperx[411].end 11789.634
transcript.whisperx[411].text 這個你們也必須要,你們都要查清楚啊,你不能夠整個,大家都在推我們碳費開始課證,企業開始說好,我們大家都要,已經有這個碳費的壓力了,大家都要改善,除了改善的時候很多人都要被詐騙去,會發生喔
transcript.whisperx[412].start 11794.984
transcript.whisperx[412].end 11796.105
transcript.whisperx[412].text 委員會主任委員會主任委員會主任
transcript.whisperx[413].start 11825.305
transcript.whisperx[413].end 11839.499
transcript.whisperx[413].text 我告訴你 這事情我們 現在我是說的比較輕鬆 不過這些事我敢預測 未來 它這是變一個選學 啊這個選學會變成一門很大的生意 啊既然變很大的生意 它就有很多個人是詐騙的 所以我們要去杜絕 好不好 好 謝謝
transcript.whisperx[414].start 11854.845
transcript.whisperx[414].end 11855.366
transcript.whisperx[414].text 有請主委 請你主委
transcript.whisperx[415].start 11874.175
transcript.whisperx[415].end 11899.117
transcript.whisperx[415].text 委員好主委好這個外送平台Uber Eats說要用307億元收購第一大的業者Full Panda那目前這兩家是台灣外送平台產業當中最大的兩家嘛對不對那合併之後市佔率大概是台灣整體外送市場的百分之多少
transcript.whisperx[416].start 11901.699
transcript.whisperx[416].end 11902.02
transcript.whisperx[416].text 市場的結構會改變
transcript.whisperx[417].start 11922.132
transcript.whisperx[417].end 11939.57
transcript.whisperx[417].text 那已經超過公平會認定的單一獨佔廠商的標準了嘛對不對遠遠超過啦 對不對所以未來我覺得公平會在審議要不要許可合併的時候真的要非常審慎去考慮那除了說市場秩序公平競爭
transcript.whisperx[418].start 11940.791
transcript.whisperx[418].end 11964.906
transcript.whisperx[418].text 也要去思考今天對國內相關的業者消費者乃至於外送勞工的一個權益的影響我覺得公平會都要審慎的思考要麻煩我們的李主委那麼事實上剛剛我們主委已經講兩大龍頭業者合併後的市佔率是超過八成也已經超過了公平法對於獨佔者的規定
transcript.whisperx[419].start 11966.047
transcript.whisperx[419].end 11980.339
transcript.whisperx[419].text 那麼對於相關同業者就可能會產生不公平競爭的疑慮那麼我們就以過去公平會處理的案例來看看目前這個申請案還沒進到公平會
transcript.whisperx[420].start 11983.624
transcript.whisperx[420].end 12012.535
transcript.whisperx[420].text 已經到公平會議但是文件還沒有齊備我們沒有正式授禮還沒正式授禮文件未齊備我想以過去的一個狀況來問問主委那您對於這個Uber Eats跟Foodpanda的一個這個結合那麼合併的這個事情你們的態度看法是什麼過去國內的KTV有兩大龍頭是錢貴跟好樂迪對不對是那這兩家的合計市佔率是大概是多少
transcript.whisperx[421].start 12014.278
transcript.whisperx[421].end 12028.551
transcript.whisperx[421].text 有超過5成因為各縣市不一樣我看的資料是達到7成啦他們申請也非常合併非常多次嘛那公平會準了嗎沒有準理由是什麼我們整個評估經濟利益跟縣市競爭的不利益那當時個別這個不準的理由可能要再進一步
transcript.whisperx[422].start 12038.902
transcript.whisperx[422].end 12068.02
transcript.whisperx[422].text 我看了一下資料 除了你剛剛講的以外簡單講就是合併之後的市場力量太大了啦然後呢 可能對於會減少對上游唱片發行業支付版權的費用也可能會同時提高下游KTV消費者唱歌的費用因為他們會居於很大的一個價格的一個談判競爭優勢嘛那既然這個錢櫃跟好樂迪會有這個問題請問Uber Eats跟Food Panda會不會也有同樣的問題
transcript.whisperx[423].start 12073.293
transcript.whisperx[423].end 12096.439
transcript.whisperx[423].text 市場力變大了以後將來Uber Eats提價的能力還有對它的利害關係人談判力量的能力這個都會再考量我這樣講這兩個國際外送平台龍頭它已經有很大的技術跟科技的優勢就本來市場力量其實就很大了現在就很大了
transcript.whisperx[424].start 12097.159
transcript.whisperx[424].end 12098.52
transcript.whisperx[424].text 每單抽取商品價格的百分之多少 有掌握嗎?
transcript.whisperx[425].start 12111.169
transcript.whisperx[425].end 12133.488
transcript.whisperx[425].text 外送費大概30到40或是28到38不等要看這個餐廳的結構跟他的客戶數大概所以28到40都可能嘛對不對那這比例是非常高的囉其實對於一般商家來講負擔是很重的吧對不對他已經有很大的價格優勢那如果他把抽成拉得更高的話
transcript.whisperx[426].start 12134.389
transcript.whisperx[426].end 12158.564
transcript.whisperx[426].text 那麼對於苦心經營的餐廳或小失業者那更是更大的一個威脅我舉個例子啊 主委假設你開一家小餐廳除非你不打算接外賣的訂單啦那一旦他條件開的不管是28 30 40甚至45他開的這個價格這個所謂的費率高到你無法承受的地步的話那你怎麼辦
transcript.whisperx[427].start 12160.267
transcript.whisperx[427].end 12170.158
transcript.whisperx[427].text 你跟他根本沒有任何可以抗衡的力量對不對這是為什麼外界非常擔心這個合併案會對業者產生影響同時如果成本提高可能會轉嫁給誰
transcript.whisperx[428].start 12172.679
transcript.whisperx[428].end 12172.899
transcript.whisperx[428].text 消費者
transcript.whisperx[429].start 12209.913
transcript.whisperx[429].end 12222.655
transcript.whisperx[429].text 請李昆成委員質詢。謝謝主席,我們請李主委。請李主委。
transcript.whisperx[430].start 12230.223
transcript.whisperx[430].end 12257.072
transcript.whisperx[430].text 主委好,今天早上大家都在問這個UberEats跟這個Fupenda有關於要合併的相關的問題那我剛才都有聽那這個主委是說現在5月14號收件然後5月30號要求補正所以現在還在補正的階段沒有正式受理嘛對不對那如果說這個Fupenda的文件一直無法備齊那合併案的這個現在是處於哪一種法律的效果
transcript.whisperx[431].start 12258.322
transcript.whisperx[431].end 12265.748
transcript.whisperx[431].text 那是在申報過程的補件程序所以這段時間沒有期限就對了
transcript.whisperx[432].start 12266.676
transcript.whisperx[432].end 12294.991
transcript.whisperx[432].text 我們目前是要求11月8號要求11月8號要把這一個文件補齊但是補齊他交給你們之後如果你們認為說還不夠是還在推薦叫他們再補所以這11月8號也不是最終的Date Line嘛對不對要看他補件的情形對補件的期限所以補完件之後他可以再交如果你們認為說文件不夠齊全再交嘛對不對所以這個收件的最後這個收件的期限
transcript.whisperx[433].start 12296.132
transcript.whisperx[433].end 12308.331
transcript.whisperx[433].text 還會再往後延嗎如果沒有補期就沒有辦法進行結合目前他是有意願要結合現在會不會發生這種情況如果你的任期到哪時候
transcript.whisperx[434].start 12310.172
transcript.whisperx[434].end 12334.353
transcript.whisperx[434].text 到月底那現在會不會發生這種情況就是說好啦那如果他11月8號他就把這一個文件把它補齊了他送進去了那你們審查你們審查時間是多久30天加60天嗎對30天跟60天就是最長的3個月工作天對啊就是90個工作天嘛那有沒有這種情況就是說審查到一半你任期到了
transcript.whisperx[435].start 12336.547
transcript.whisperx[435].end 12365.848
transcript.whisperx[435].text 不無可能這個要看普見的情形對啦我是說如果11月8號普進來了那12月1月兩個月的時間而已耶那所以有可能說你們審查到一半你們現在委員有幾個人7位7位有幾位1月底任期到期4位4位好那剩下3位是繼續審下去呢還是就沒辦法審那個行政院長會提名請去法院同意所以行政委員會推銷券這一檔杯葛的話這一檔杯葛這個人事案的話
transcript.whisperx[436].start 12366.861
transcript.whisperx[436].end 12383.109
transcript.whisperx[436].text 我當然是 我也不希望啦我當然希望人事案預算案都能夠通過啦我現在講是一種情況嘛如果這樣子就只剩三位而且沒有主委沒有副主委只有三位好 那是對 那我是說是繼續審查呢還是有沒辦法審查
transcript.whisperx[437].start 12387.904
transcript.whisperx[437].end 12406.26
transcript.whisperx[437].text 如果文件齊備 假設他11月齊備了那如果還有足夠的委員來審就會審查文件齊備那時候你們還是7個嘛對不對對 文件齊備如果符合剛才講的30天加60天都沒有去審這個案子就等於准了 他就可以去做了
transcript.whisperx[438].start 12406.977
transcript.whisperx[438].end 12435.948
transcript.whisperx[438].text 對所以我的文件齊備你們在審嘛對不對那審當然會有yes或no嘛是阿如果沒有做出決定就是就是阿三個月可以做出決定嗎所以我們剛剛跟提到就是說11月8號假設齊備了11月8號就開始算30天加60天那假設跨過委員的任期我們正常情況下業務是不會中斷的阿所以因為我們新屆委員會有這個沒有阿就是如果最後只剩下三個啦
transcript.whisperx[439].start 12438.9
transcript.whisperx[439].end 12465.846
transcript.whisperx[439].text 期間還是繼續進行啊對那所以三個還是可以繼續審就對了三個三個我認為說三個一樣可以這個進行準或不準的這個決定就對了三個有可能那要沒有請假沒有其他的情形那我也不建議有這種對啦我是講說最壞的情況是不是那就是說如果遇到只剩下三個的話是不是還會審查下去那還是沒有如果沒有沒辦法審查下去那因為時間到了所以他就準了
transcript.whisperx[440].start 12467.366
transcript.whisperx[440].end 12476.292
transcript.whisperx[440].text 時間到沒有做出決定就是準的意思就是沒有意義嘛沒有意見他就可以做了對啊那會不會說那我意思就是說如果剩下三個的話到底能不能審查
transcript.whisperx[441].start 12479.311
transcript.whisperx[441].end 12502.361
transcript.whisperx[441].text 三個開會要看是不是三個委員都能出席如果有請假或是什麼三個都能夠出席的話能不能做審查三個出席是可以出席可以審議是可以審議所以不會影響到最後這個因為我是擔心啦就是說因為剩下三個沒辦法開會然後讓他讓他就最後就因為是因為你們沒辦法開會的結果讓他就準了會不會發生這種情況
transcript.whisperx[442].start 12505.951
transcript.whisperx[442].end 12516.904
transcript.whisperx[442].text 三個委員可以繼續開會但是我要說明就是說為什麼法定上要設七個就是希望有多數的委員憑他們的專業跟經驗好好的審核案件這我都知道我是假設在野黨黨人是一個人是愛最後只剩下三個
transcript.whisperx[443].start 12522.23
transcript.whisperx[443].end 12522.53
transcript.whisperx[443].text 主席主席
transcript.whisperx[444].start 12546.704
transcript.whisperx[444].end 12571.705
transcript.whisperx[444].text 公平會要負責任三個月時間公平交易法11條第7項第8條跟你一言在言就是三個月你要負起這三個月的審查責任不是三個月過了就自然核准你就是刻意在放水五月收件到八月再補件現在到年底你還不能夠審查你的委員如果七個七個人沒有到的話你就重新再換委員啊怎麼可以不負責任呢
transcript.whisperx[445].start 12573.575
transcript.whisperx[445].end 12573.795
transcript.whisperx[445].text 李主委
transcript.whisperx[446].start 12599.298
transcript.whisperx[446].end 12612.348
transcript.whisperx[446].text 主委請問一下我們這個Full Panda跟UberEats的合併案是由哪一個處來做實質的審查服務業競爭處就是林處長我剛才要延續我們今天主席所講的
transcript.whisperx[447].start 12625.088
transcript.whisperx[447].end 12640.47
transcript.whisperx[447].text 這麼一個社會眾所矚目的一個合併案從5月份收件然後到8月份才要求他補件時間已經過了三個月然後呢你們的任期我們好幾位委員的任期都迫在眉睫
transcript.whisperx[448].start 12641.531
transcript.whisperx[448].end 12643.092
transcript.whisperx[448].text 那我不曉得我們在拖什麼那這個當然就會讓外界認為說你們拖拖拉拉另外呢剛才李昆城委員好像又把這樣的可能的責任推向給在野黨說實在我們現在連NCC的這個新的這個委員現在都已經副委阿要做審查
transcript.whisperx[449].start 12663.308
transcript.whisperx[449].end 12675.28
transcript.whisperx[449].text 所以應該公平會應該行政單位負起的責任不要推給在野黨那本來在我們至少在野黨也沒有要針對公平會委員要做什麼樣的刁難啊
transcript.whisperx[450].start 12677.284
transcript.whisperx[450].end 12698.406
transcript.whisperx[450].text 你們只要提出來的是具有合理的專業的背景我們沒有不準的道理啊所以我覺得這個案子不要最後拿來做政治操作那這個對於廣大的消費者跟廣大的這些外送員事實上是極為不公平的
transcript.whisperx[451].start 12699.227
transcript.whisperx[451].end 12705.71
transcript.whisperx[451].text 那這個事情呢 剛才有委員特別提到 因為我自己當過臺北市議員在2022年的時候 那個時候我們每一個議員還有臺北市政府的消保處電話被打爆為什麼呢 當時Fu Panda在無預警的狀況之下提高了平台的服務費
transcript.whisperx[452].start 12720.558
transcript.whisperx[452].end 12742.565
transcript.whisperx[452].text 那個時候包含這個臺北市光是那個協調的個案好幾百件我們自己本身議員也收到可是即使是如此但是fulpanda完全沒有在理會的照樣當時就直接的提高了服務平台費那這個其實當時是引起大家的重怒可重怒能怎麼辦呢
transcript.whisperx[453].start 12745.811
transcript.whisperx[453].end 12772.548
transcript.whisperx[453].text 當時也有去找公平會 因為公平會說他沒有獨佔不了了之所以這一次在整個的合併的過程裡面我覺得要特別的注意的就是到底有沒有壟斷市場的問題那麼施策會事實上MIC在發布外送平臺大調查的時候也顯示2023年民眾最常用的外送平臺就是Fu Panda跟Uber Eats
transcript.whisperx[454].start 12773.288
transcript.whisperx[454].end 12776.691
transcript.whisperx[454].text 這兩家一旦合併.絕對造成市場的壟斷.所以這個部分只要公平會應該從各個面向包含消費者的權益.我剛才講剛才.在沒有合併之前都有片面突襲式的決斷式的就提高這個服務平台費
transcript.whisperx[455].start 12794.904
transcript.whisperx[455].end 12809.721
transcript.whisperx[455].text 那麼更不要說未來假使是真的變壟斷的話在市場整個獨佔的狀況之下消費者權益在哪裡外送員的權益在哪裡今天我沒有時間跟你討論最近還有一個高高興的一個判例
transcript.whisperx[456].start 12810.522
transcript.whisperx[456].end 12839.034
transcript.whisperx[456].text 對於外眾員極為不合理即便縣市政府想要來做來做一些補償來做一些那個把它那個修正檢討但是呢最後在法令上還是有利於業者所以這一些真的是一定要要高度重視的好我給大家看一下這個是呢我們辦公室我們的update當時我們就曾經就是把我們常常吃的比如說
transcript.whisperx[457].start 12840.434
transcript.whisperx[457].end 12854.102
transcript.whisperx[457].text 數字店的排骨飯乳肉飯光是你店家去吃到你在平台上的這個去做外賣他大概就是增加40塊到50塊為什麼增加那麼多就是因為服務平台費的關係
transcript.whisperx[458].start 12860.225
transcript.whisperx[458].end 12869.951
transcript.whisperx[458].text 在國外其實包含美國有幾個城市他們像紐約舊金山他們都有強制規定你的服務平台費應該是有一個上限的但是我們沒有我們就是由業者自行來去決定所以這樣會造成一個就是這個價格為什麼我們就說為什麼現在消費物價一直漲大家都一直覺得說荷包越來越薄
transcript.whisperx[459].start 12887.623
transcript.whisperx[459].end 12887.803
transcript.whisperx[459].text 委員會主任
transcript.whisperx[460].start 12917.623
transcript.whisperx[460].end 12932.766
transcript.whisperx[460].text 另外我剛特別講外送員外送員因為事實上長期以來外送員是弱勢的我剛舉一個例子光是要不要做強制保險地方的自治條例被中央整個的打回票
transcript.whisperx[461].start 12933.527
transcript.whisperx[461].end 12940.332
transcript.whisperx[461].text 所以未來外送員在經過合併的過程裡面他們的權益如何做到合理的保障那當然還有我們在整個的業界這個是一個大家非常關注的這樣的產業平台的一個合併如何能夠在市場極度的這個獨佔的狀況之下還能夠創造這個產業它的一個合理的發展也非常重要
transcript.whisperx[462].start 12960.805
transcript.whisperx[462].end 12967.33
transcript.whisperx[462].text 另外就是呢包含你有沒有一些相關的法規甚至你們可以去建議比如說勞動部的一個相關法規如何讓他更完善我們希望這個合併是要大家互利互贏
transcript.whisperx[463].start 12976.878
transcript.whisperx[463].end 12976.978
transcript.whisperx[463].text 好 謝謝大家 謝謝
transcript.whisperx[464].start 13015.287
transcript.whisperx[464].end 13038.634
transcript.whisperx[464].text 請蘇清泉蘇清泉蘇清泉委員不在請何欣淳何欣淳何欣淳委員不在請傅坤祺傅坤祺傅坤祺委員不在請徐欣穎徐欣穎徐欣穎委員不在請廖偉祥廖偉祥廖偉祥委員不在他有換過什麼什麼我們現在讀我們現在讀葉元智
transcript.whisperx[465].start 13042.601
transcript.whisperx[465].end 13066.392
transcript.whisperx[465].text 好 葉言之 葉言之 葉言之委員不在請陳冠廷陳冠廷陳冠廷委員不在請游浩游浩游浩委員不在請謝依鳳謝依鳳謝依鳳委員不在請賴世寶賴世寶賴世寶委員不在請高金素梅高金素梅高金素梅委員不在請廖偉祥廖偉祥廖偉祥不在
transcript.whisperx[466].start 13071.026
transcript.whisperx[466].end 13094.556
transcript.whisperx[466].text 當屆發言的委員除了不在場外:其餘的均已發言完畢.詢答結束.委員有謝一鳳葉元之所提的書面質詢列入紀錄.刊登公報.書面質詢跟未及答覆的部分.請相關單位於一週內.以書面答覆並附資本會.本日議程處理完畢.現在散會
會議時間 2024-09-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第2次全體委員會議(事由:邀請公平交易委員會主任委員列席報告業務概況,並備質詢。)
委員發言時間 08:31:04 - 12:10:00
IVOD_ID 16137
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16137
日期 2024-09-30
會議資料.會議代碼 委員會-11-2-19-2
會議資料.屆 11
會議資料.會期 2
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.標題 第11屆第2會期經濟委員會第2次全體委員會議
影片種類 Full
開始時間 2024-09-30T08:31:04+08:00
結束時間 2024-09-30T12:10:00+08:00
支援功能[0] ai-transcript