iVOD / 169781

Field Value
IVOD_ID 169781
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169781
日期 2026-06-03
會議資料.會議代碼 委員會-11-5-23-16
會議資料.會議代碼:str 第11屆第5會期交通委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第16次全體委員會議
影片種類 Clip
開始時間 2026-06-03T11:04:00+08:00
結束時間 2026-06-03T11:17:11+08:00
影片長度 00:13:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5329b193fad041250a948ae5fe2e9c08a8e069b60cc25a5f77c83729728f4ea854de318ebac86ee55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 11:04:00 - 11:17:11
會議時間 2026-06-03T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第16次全體委員會議(事由:一、審查115年度中央政府總預算案關於數位發展部單位預算。 二、審查115年度中央政府總預算案關於數位發展部資通安全署單位預算。 三、審查115年度中央政府總預算案關於數位發展部數位產業署單位預算。 四、審查115年度中央政府總預算案關於國家通訊傳播委員會單位預算。 五、審查115年度中央政府總預算案附屬單位預算非營業部分關於國家通訊傳播委員會主管通訊傳播監督管理基金預算。 六、審查115年度中央政府總預算案附屬單位預算非營業部分關於國家通訊傳播委員會主管有線廣播電視事業發展基金預算。 【本次會議僅進行詢答;開會事由一至六預算提案截止收件時間:6月10日下午4時】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.73096875
transcript.pyannote[0].end 5.19471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.73471875
transcript.pyannote[1].end 7.16909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.33721875
transcript.pyannote[2].end 11.84346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.16409375
transcript.pyannote[3].end 12.92346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 14.56034375
transcript.pyannote[4].end 14.91471875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 14.96534375
transcript.pyannote[5].end 16.31534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 16.39971875
transcript.pyannote[6].end 16.72034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 17.20971875
transcript.pyannote[7].end 20.21346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 20.83784375
transcript.pyannote[8].end 24.11159375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 24.11159375
transcript.pyannote[9].end 24.29721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 24.29721875
transcript.pyannote[10].end 24.33096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 25.29284375
transcript.pyannote[11].end 29.03909375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 29.03909375
transcript.pyannote[12].end 29.05596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 29.05596875
transcript.pyannote[13].end 29.08971875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 29.08971875
transcript.pyannote[14].end 29.14034375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 29.14034375
transcript.pyannote[15].end 29.15721875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 29.15721875
transcript.pyannote[16].end 29.34284375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 29.34284375
transcript.pyannote[17].end 29.39346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 30.35534375
transcript.pyannote[18].end 32.93721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 33.40971875
transcript.pyannote[19].end 35.80596875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 36.53159375
transcript.pyannote[20].end 40.66596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 41.45909375
transcript.pyannote[21].end 44.68221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 45.71159375
transcript.pyannote[22].end 51.43221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 52.49534375
transcript.pyannote[23].end 53.40659375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 53.40659375
transcript.pyannote[24].end 53.50784375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 53.50784375
transcript.pyannote[25].end 53.69346875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 53.69346875
transcript.pyannote[26].end 53.96346875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 53.96346875
transcript.pyannote[27].end 54.03096875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 54.03096875
transcript.pyannote[28].end 54.25034375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 54.43596875
transcript.pyannote[29].end 56.34284375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 54.53721875
transcript.pyannote[30].end 57.89534375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 57.89534375
transcript.pyannote[31].end 59.46471875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 58.87409375
transcript.pyannote[32].end 60.56159375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 60.12284375
transcript.pyannote[33].end 62.18159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 61.70909375
transcript.pyannote[34].end 64.10534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 64.51034375
transcript.pyannote[35].end 67.21034375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 67.36221875
transcript.pyannote[36].end 106.14096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 106.37721875
transcript.pyannote[37].end 111.57471875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 111.57471875
transcript.pyannote[38].end 111.77721875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 111.77721875
transcript.pyannote[39].end 114.17346875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 114.17346875
transcript.pyannote[40].end 114.46034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 114.46034375
transcript.pyannote[41].end 114.47721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 114.84846875
transcript.pyannote[42].end 114.86534375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 114.86534375
transcript.pyannote[43].end 114.88221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 114.88221875
transcript.pyannote[44].end 118.98284375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 114.89909375
transcript.pyannote[45].end 115.50659375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 119.47221875
transcript.pyannote[46].end 120.87284375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 120.24846875
transcript.pyannote[47].end 123.10034375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 123.10034375
transcript.pyannote[48].end 123.43784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 123.43784375
transcript.pyannote[49].end 126.71159375
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 126.71159375
transcript.pyannote[50].end 126.89721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 126.89721875
transcript.pyannote[51].end 132.70221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 133.02284375
transcript.pyannote[52].end 135.09846875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 135.09846875
transcript.pyannote[53].end 135.11534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 135.11534375
transcript.pyannote[54].end 135.13221875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 135.13221875
transcript.pyannote[55].end 135.33471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 135.33471875
transcript.pyannote[56].end 137.24159375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 137.34284375
transcript.pyannote[57].end 143.23221875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 139.19909375
transcript.pyannote[58].end 139.23284375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 139.23284375
transcript.pyannote[59].end 141.61221875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 142.69221875
transcript.pyannote[60].end 144.22784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 144.34596875
transcript.pyannote[61].end 145.74659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 145.88159375
transcript.pyannote[62].end 146.77596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 147.40034375
transcript.pyannote[63].end 149.69534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 149.93159375
transcript.pyannote[64].end 152.42909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 152.88471875
transcript.pyannote[65].end 155.31471875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 155.19659375
transcript.pyannote[66].end 155.41596875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 155.41596875
transcript.pyannote[67].end 155.48346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 155.95596875
transcript.pyannote[68].end 158.25096875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 158.25096875
transcript.pyannote[69].end 158.58846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 158.58846875
transcript.pyannote[70].end 160.76534375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 160.76534375
transcript.pyannote[71].end 160.93409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 160.93409375
transcript.pyannote[72].end 162.68909375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 163.54971875
transcript.pyannote[73].end 164.88284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 165.23721875
transcript.pyannote[74].end 172.69596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 173.15159375
transcript.pyannote[75].end 174.46784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 175.95284375
transcript.pyannote[76].end 184.69409375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 184.96409375
transcript.pyannote[77].end 188.50784375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 188.84534375
transcript.pyannote[78].end 193.03034375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 190.76909375
transcript.pyannote[79].end 192.67596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 193.03034375
transcript.pyannote[80].end 194.43096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 194.88659375
transcript.pyannote[81].end 196.30409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 195.05534375
transcript.pyannote[82].end 195.08909375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 196.23659375
transcript.pyannote[83].end 201.88971875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 202.12596875
transcript.pyannote[84].end 207.66096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 208.21784375
transcript.pyannote[85].end 208.84221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 208.84221875
transcript.pyannote[86].end 209.02784375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 209.02784375
transcript.pyannote[87].end 209.06159375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 209.66909375
transcript.pyannote[88].end 210.52971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 210.63096875
transcript.pyannote[89].end 216.18284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 215.60909375
transcript.pyannote[90].end 217.38096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 217.33034375
transcript.pyannote[91].end 219.40596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 217.81971875
transcript.pyannote[92].end 222.32534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 222.40971875
transcript.pyannote[93].end 229.88534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 228.95721875
transcript.pyannote[94].end 231.77534375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 231.13409375
transcript.pyannote[95].end 231.38721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 232.01159375
transcript.pyannote[96].end 233.36159375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 232.97346875
transcript.pyannote[97].end 234.94784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 234.94784375
transcript.pyannote[98].end 242.89596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 244.51596875
transcript.pyannote[99].end 245.71409375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 245.93346875
transcript.pyannote[100].end 252.24471875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 248.88659375
transcript.pyannote[101].end 249.76409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 251.65409375
transcript.pyannote[102].end 253.32471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 253.59471875
transcript.pyannote[103].end 261.20534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 261.42471875
transcript.pyannote[104].end 262.67346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 263.06159375
transcript.pyannote[105].end 263.66909375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 263.98971875
transcript.pyannote[106].end 265.32284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 265.47471875
transcript.pyannote[107].end 266.20034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 266.33534375
transcript.pyannote[108].end 268.15784375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 268.07346875
transcript.pyannote[109].end 269.59221875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 269.59221875
transcript.pyannote[110].end 272.07284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 271.60034375
transcript.pyannote[111].end 275.21159375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 275.21159375
transcript.pyannote[112].end 275.61659375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 275.61659375
transcript.pyannote[113].end 276.98346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 277.01721875
transcript.pyannote[114].end 278.02971875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 278.02971875
transcript.pyannote[115].end 278.41784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 278.41784375
transcript.pyannote[116].end 278.45159375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 278.45159375
transcript.pyannote[117].end 278.55284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 278.55284375
transcript.pyannote[118].end 278.85659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 278.85659375
transcript.pyannote[119].end 280.13909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 278.94096875
transcript.pyannote[120].end 279.29534375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 279.93659375
transcript.pyannote[121].end 280.81409375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 281.53971875
transcript.pyannote[122].end 283.96971875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 284.66159375
transcript.pyannote[123].end 288.96471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 288.96471875
transcript.pyannote[124].end 290.26409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 289.85909375
transcript.pyannote[125].end 293.08221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 292.27221875
transcript.pyannote[126].end 295.57971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 295.29284375
transcript.pyannote[127].end 296.42346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 296.62596875
transcript.pyannote[128].end 298.46534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 297.58784375
transcript.pyannote[129].end 300.62534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 301.13159375
transcript.pyannote[130].end 302.88659375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 302.88659375
transcript.pyannote[131].end 302.90346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 302.90346875
transcript.pyannote[132].end 302.95409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 302.95409375
transcript.pyannote[133].end 303.57846875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 302.97096875
transcript.pyannote[134].end 304.43909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 304.55721875
transcript.pyannote[135].end 306.26159375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 306.63284375
transcript.pyannote[136].end 308.77596875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 309.01221875
transcript.pyannote[137].end 309.90659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 310.24409375
transcript.pyannote[138].end 312.65721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 313.36596875
transcript.pyannote[139].end 314.22659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 314.51346875
transcript.pyannote[140].end 315.61034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 316.31909375
transcript.pyannote[141].end 317.01096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 317.28096875
transcript.pyannote[142].end 318.37784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 318.76596875
transcript.pyannote[143].end 320.21721875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 320.72346875
transcript.pyannote[144].end 321.17909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 320.89221875
transcript.pyannote[145].end 321.14534375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 321.17909375
transcript.pyannote[146].end 321.22971875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 321.43221875
transcript.pyannote[147].end 326.54534375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 326.00534375
transcript.pyannote[148].end 330.32534375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 330.47721875
transcript.pyannote[149].end 332.04659375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 333.32909375
transcript.pyannote[150].end 334.71284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 335.35409375
transcript.pyannote[151].end 337.10909375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 336.88971875
transcript.pyannote[152].end 338.64471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 338.27346875
transcript.pyannote[153].end 338.94846875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 339.57284375
transcript.pyannote[154].end 340.26471875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 340.33221875
transcript.pyannote[155].end 342.15471875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 342.76221875
transcript.pyannote[156].end 345.36096875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 346.39034375
transcript.pyannote[157].end 349.03971875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 350.30534375
transcript.pyannote[158].end 353.39346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 353.57909375
transcript.pyannote[159].end 355.30034375
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 355.30034375
transcript.pyannote[160].end 355.58721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 355.58721875
transcript.pyannote[161].end 358.74284375
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 356.75159375
transcript.pyannote[162].end 357.20721875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 357.88221875
transcript.pyannote[163].end 359.50221875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 359.43471875
transcript.pyannote[164].end 362.60721875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 362.70846875
transcript.pyannote[165].end 366.06659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 366.72471875
transcript.pyannote[166].end 369.05346875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 369.50909375
transcript.pyannote[167].end 373.50846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 374.20034375
transcript.pyannote[168].end 374.79096875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 375.26346875
transcript.pyannote[169].end 376.84971875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 375.71909375
transcript.pyannote[170].end 376.03971875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 378.03096875
transcript.pyannote[171].end 381.06846875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 381.06846875
transcript.pyannote[172].end 381.08534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 381.08534375
transcript.pyannote[173].end 381.50721875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 381.50721875
transcript.pyannote[174].end 381.52409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 382.30034375
transcript.pyannote[175].end 384.34221875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 384.69659375
transcript.pyannote[176].end 385.69221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 386.04659375
transcript.pyannote[177].end 386.82284375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 388.37534375
transcript.pyannote[178].end 389.37096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 389.59034375
transcript.pyannote[179].end 389.86034375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 390.82221875
transcript.pyannote[180].end 392.76284375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 393.47159375
transcript.pyannote[181].end 393.72471875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 393.72471875
transcript.pyannote[182].end 393.92721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 393.92721875
transcript.pyannote[183].end 394.02846875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 394.02846875
transcript.pyannote[184].end 394.04534375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 394.04534375
transcript.pyannote[185].end 394.06221875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 394.23096875
transcript.pyannote[186].end 404.03534375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 403.34346875
transcript.pyannote[187].end 405.57096875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 405.43596875
transcript.pyannote[188].end 405.46971875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 405.57096875
transcript.pyannote[189].end 405.97596875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 405.97596875
transcript.pyannote[190].end 410.86971875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 406.22909375
transcript.pyannote[191].end 406.66784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 410.98784375
transcript.pyannote[192].end 411.03846875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 411.03846875
transcript.pyannote[193].end 411.94971875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 411.94971875
transcript.pyannote[194].end 414.41346875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 414.68346875
transcript.pyannote[195].end 417.09659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 424.96034375
transcript.pyannote[196].end 425.39909375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 425.71971875
transcript.pyannote[197].end 428.18346875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 428.60534375
transcript.pyannote[198].end 429.80346875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 430.24221875
transcript.pyannote[199].end 431.01846875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 431.54159375
transcript.pyannote[200].end 432.23346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 432.80721875
transcript.pyannote[201].end 433.83659375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 434.54534375
transcript.pyannote[202].end 435.18659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 436.55346875
transcript.pyannote[203].end 440.95784375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 441.26159375
transcript.pyannote[204].end 441.66659375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 441.88596875
transcript.pyannote[205].end 441.98721875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 441.98721875
transcript.pyannote[206].end 442.13909375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 443.45534375
transcript.pyannote[207].end 443.87721875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 444.99096875
transcript.pyannote[208].end 445.31159375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 445.86846875
transcript.pyannote[209].end 447.48846875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 447.80909375
transcript.pyannote[210].end 449.71596875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 449.81721875
transcript.pyannote[211].end 451.63971875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 451.55534375
transcript.pyannote[212].end 451.58909375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 451.63971875
transcript.pyannote[213].end 453.68159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 453.95159375
transcript.pyannote[214].end 454.50846875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 454.01909375
transcript.pyannote[215].end 454.69409375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 454.69409375
transcript.pyannote[216].end 457.51221875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 458.54159375
transcript.pyannote[217].end 462.40596875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 462.67596875
transcript.pyannote[218].end 463.99221875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 464.59971875
transcript.pyannote[219].end 466.67534375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 467.35034375
transcript.pyannote[220].end 468.86909375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 469.30784375
transcript.pyannote[221].end 470.67471875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 471.60284375
transcript.pyannote[222].end 473.02034375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 473.77971875
transcript.pyannote[223].end 475.21409375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 476.24346875
transcript.pyannote[224].end 477.07034375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 477.57659375
transcript.pyannote[225].end 478.92659375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 481.28909375
transcript.pyannote[226].end 481.64346875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 482.63909375
transcript.pyannote[227].end 484.10721875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 485.17034375
transcript.pyannote[228].end 486.80721875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 488.47784375
transcript.pyannote[229].end 490.62096875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 490.62096875
transcript.pyannote[230].end 492.69659375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 491.80221875
transcript.pyannote[231].end 494.82284375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 495.37971875
transcript.pyannote[232].end 495.66659375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 495.97034375
transcript.pyannote[233].end 499.21034375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 500.29034375
transcript.pyannote[234].end 501.94409375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 502.38284375
transcript.pyannote[235].end 502.55159375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 502.82159375
transcript.pyannote[236].end 504.12096875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 504.34034375
transcript.pyannote[237].end 510.26346875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 509.85846875
transcript.pyannote[238].end 511.24221875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 511.47846875
transcript.pyannote[239].end 512.37284375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 513.01409375
transcript.pyannote[240].end 514.49909375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 514.93784375
transcript.pyannote[241].end 515.51159375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 515.71409375
transcript.pyannote[242].end 516.50721875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 517.24971875
transcript.pyannote[243].end 519.15659375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 520.13534375
transcript.pyannote[244].end 522.12659375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 522.41346875
transcript.pyannote[245].end 523.94909375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 523.99971875
transcript.pyannote[246].end 525.63659375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 527.20596875
transcript.pyannote[247].end 528.67409375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 530.20971875
transcript.pyannote[248].end 533.11221875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 534.27659375
transcript.pyannote[249].end 535.42409375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 536.28471875
transcript.pyannote[250].end 537.80346875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 538.32659375
transcript.pyannote[251].end 539.42346875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 540.84096875
transcript.pyannote[252].end 542.30909375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 543.16971875
transcript.pyannote[253].end 544.55346875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 545.51534375
transcript.pyannote[254].end 546.61221875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 546.88221875
transcript.pyannote[255].end 547.37159375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 548.18159375
transcript.pyannote[256].end 548.72159375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 549.58221875
transcript.pyannote[257].end 552.41721875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 553.39596875
transcript.pyannote[258].end 554.83034375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 555.06659375
transcript.pyannote[259].end 555.58971875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 556.12971875
transcript.pyannote[260].end 566.62596875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 567.46971875
transcript.pyannote[261].end 569.61284375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 570.79409375
transcript.pyannote[262].end 572.53221875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 573.74721875
transcript.pyannote[263].end 575.43471875
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 575.73846875
transcript.pyannote[264].end 577.00409375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 578.37096875
transcript.pyannote[265].end 579.33284375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 580.36221875
transcript.pyannote[266].end 581.45909375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 581.81346875
transcript.pyannote[267].end 581.86409375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 581.86409375
transcript.pyannote[268].end 581.98221875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 581.98221875
transcript.pyannote[269].end 582.03284375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 582.03284375
transcript.pyannote[270].end 582.18471875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 582.62346875
transcript.pyannote[271].end 585.79596875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 586.45409375
transcript.pyannote[272].end 587.90534375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 588.46221875
transcript.pyannote[273].end 588.86721875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 589.40721875
transcript.pyannote[274].end 591.82034375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 592.78221875
transcript.pyannote[275].end 593.60909375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 594.50346875
transcript.pyannote[276].end 596.19096875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 597.20346875
transcript.pyannote[277].end 599.75159375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 600.34221875
transcript.pyannote[278].end 602.23221875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 603.70034375
transcript.pyannote[279].end 604.84784375
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 605.97846875
transcript.pyannote[280].end 607.98659375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 608.72909375
transcript.pyannote[281].end 610.50096875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 610.93971875
transcript.pyannote[282].end 611.80034375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 613.35284375
transcript.pyannote[283].end 613.69034375
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 614.07846875
transcript.pyannote[284].end 615.86721875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 616.54221875
transcript.pyannote[285].end 619.03971875
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 619.57971875
transcript.pyannote[286].end 623.14034375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 624.23721875
transcript.pyannote[287].end 625.45221875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 625.57034375
transcript.pyannote[288].end 625.97534375
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 626.88659375
transcript.pyannote[289].end 627.69659375
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 627.84846875
transcript.pyannote[290].end 628.60784375
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 630.73409375
transcript.pyannote[291].end 631.61159375
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 633.40034375
transcript.pyannote[292].end 634.24409375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 634.64909375
transcript.pyannote[293].end 635.66159375
transcript.pyannote[294].speaker SPEAKER_00
transcript.pyannote[294].start 637.51784375
transcript.pyannote[294].end 638.88471875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 639.03659375
transcript.pyannote[295].end 639.52596875
transcript.pyannote[296].speaker SPEAKER_00
transcript.pyannote[296].start 640.42034375
transcript.pyannote[296].end 640.84221875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 641.09534375
transcript.pyannote[297].end 642.37784375
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 642.37784375
transcript.pyannote[298].end 642.81659375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 644.06534375
transcript.pyannote[299].end 645.39846875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 645.82034375
transcript.pyannote[300].end 651.57471875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 651.77721875
transcript.pyannote[301].end 659.75909375
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 659.01659375
transcript.pyannote[302].end 659.80971875
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 660.11346875
transcript.pyannote[303].end 660.45096875
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 660.45096875
transcript.pyannote[304].end 662.86409375
transcript.pyannote[305].speaker SPEAKER_00
transcript.pyannote[305].start 663.37034375
transcript.pyannote[305].end 667.80846875
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 668.19659375
transcript.pyannote[306].end 670.39034375
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 670.82909375
transcript.pyannote[307].end 672.75284375
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 673.64721875
transcript.pyannote[308].end 675.08159375
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 676.16159375
transcript.pyannote[309].end 677.22471875
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 678.13596875
transcript.pyannote[310].end 680.51534375
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 681.22409375
transcript.pyannote[311].end 682.10159375
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 682.96221875
transcript.pyannote[312].end 683.87346875
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 686.20221875
transcript.pyannote[313].end 688.04159375
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 688.54784375
transcript.pyannote[314].end 689.93159375
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 690.97784375
transcript.pyannote[315].end 693.94784375
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 694.75784375
transcript.pyannote[316].end 695.87159375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 696.54659375
transcript.pyannote[317].end 697.06971875
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 697.13721875
transcript.pyannote[318].end 698.94284375
transcript.pyannote[319].speaker SPEAKER_00
transcript.pyannote[319].start 699.70221875
transcript.pyannote[319].end 700.71471875
transcript.pyannote[320].speaker SPEAKER_00
transcript.pyannote[320].start 701.28846875
transcript.pyannote[320].end 703.38096875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 703.58346875
transcript.pyannote[321].end 704.15721875
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 704.19096875
transcript.pyannote[322].end 706.77284375
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 707.81909375
transcript.pyannote[323].end 708.13971875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 709.18596875
transcript.pyannote[324].end 712.10534375
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 712.57784375
transcript.pyannote[325].end 713.96159375
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 714.26534375
transcript.pyannote[326].end 716.47596875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 717.16784375
transcript.pyannote[327].end 717.82596875
transcript.pyannote[328].speaker SPEAKER_04
transcript.pyannote[328].start 717.37034375
transcript.pyannote[328].end 717.43784375
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 717.43784375
transcript.pyannote[329].end 717.52221875
transcript.pyannote[330].speaker SPEAKER_04
transcript.pyannote[330].start 717.52221875
transcript.pyannote[330].end 717.55596875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 718.93971875
transcript.pyannote[331].end 720.20534375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 720.72846875
transcript.pyannote[332].end 724.13721875
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 724.91346875
transcript.pyannote[333].end 725.28471875
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 726.21284375
transcript.pyannote[334].end 728.06909375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 729.09846875
transcript.pyannote[335].end 730.38096875
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 731.39346875
transcript.pyannote[336].end 732.62534375
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 733.73909375
transcript.pyannote[337].end 736.75971875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 737.38409375
transcript.pyannote[338].end 738.26159375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 738.46409375
transcript.pyannote[339].end 739.99971875
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 740.28659375
transcript.pyannote[340].end 742.12596875
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 743.00346875
transcript.pyannote[341].end 745.09596875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 745.41659375
transcript.pyannote[342].end 747.34034375
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 747.69471875
transcript.pyannote[343].end 748.90971875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 750.04034375
transcript.pyannote[344].end 751.01909375
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 751.93034375
transcript.pyannote[345].end 754.36034375
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 754.56284375
transcript.pyannote[346].end 757.29659375
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 757.68471875
transcript.pyannote[347].end 759.45659375
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 760.06409375
transcript.pyannote[348].end 761.54909375
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 761.68409375
transcript.pyannote[349].end 763.13534375
transcript.pyannote[350].speaker SPEAKER_00
transcript.pyannote[350].start 762.07221875
transcript.pyannote[350].end 763.42221875
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 763.42221875
transcript.pyannote[351].end 768.02909375
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 768.38346875
transcript.pyannote[352].end 771.11721875
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 772.56846875
transcript.pyannote[353].end 773.53034375
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 773.59784375
transcript.pyannote[354].end 779.33534375
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 777.17534375
transcript.pyannote[355].end 778.93034375
transcript.pyannote[356].speaker SPEAKER_00
transcript.pyannote[356].start 779.33534375
transcript.pyannote[356].end 782.45721875
transcript.pyannote[357].speaker SPEAKER_00
transcript.pyannote[357].start 782.72721875
transcript.pyannote[357].end 783.95909375
transcript.pyannote[358].speaker SPEAKER_00
transcript.pyannote[358].start 784.66784375
transcript.pyannote[358].end 789.08909375
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 787.70534375
transcript.pyannote[359].end 788.38034375
transcript.pyannote[360].speaker SPEAKER_02
transcript.pyannote[360].start 789.12284375
transcript.pyannote[360].end 789.81471875
transcript.pyannote[361].speaker SPEAKER_00
transcript.pyannote[361].start 790.70909375
transcript.pyannote[361].end 792.63284375
transcript.whisperx[0].start 2.759
transcript.whisperx[0].end 7.001
transcript.whisperx[0].text 好,謝謝召委,是不是請林部長,速發部林部長林部長早安林部長早安,單位之間,通訊像上次台北車站發生去年12月連續殺人的事情有沒有,台北車站那邊的鐵路警察
transcript.whisperx[1].start 30.39
transcript.whisperx[1].end 43.415
transcript.whisperx[1].text 那很像跟我們的地區警察消防都沒有聯絡上所以我講說台鐵也好高鐵也好機場也好他們之間系統通訊系統能夠做一個連貫是不是請部長這邊能夠
transcript.whisperx[2].start 52.811
transcript.whisperx[2].end 55.032
transcript.whisperx[2].text 來整合無線電頻率及各類的系統
transcript.whisperx[3].start 67.956
transcript.whisperx[3].end 96.341
transcript.whisperx[3].text 我們現在政府就是說在那個在那個任性方面我們在都為了添災或者是如果有那個衝突那個區域衝突的時候我們那個有一個都有一些詳細的計畫那通訊方面我們第一個要保障的是指揮系統然後再來是救災系統然後再來是重大的民生設施然後再來是一般民眾的通訊的需求我們會依照這個順序那我們都有那個列出這個
transcript.whisperx[4].start 97.361
transcript.whisperx[4].end 105.962
transcript.whisperx[4].text 所謂的優先順序表然後也有一些計畫雖然這些計畫有些並不方便公布但是這個事情我們都有在做
transcript.whisperx[5].start 106.448
transcript.whisperx[5].end 132.435
transcript.whisperx[5].text 沒有這很好啦,我最近也跟你們那個貴單位視察張貞潔有沒有我們常常也會做一些互動啦所以你們打詐的成果幹什麼,他也跟我解釋的很清楚跟我們辦公室也解釋很清楚,我覺得有必要啦你常常跟委員之間能夠做一個互動有沒有讓委員能夠了解,所以對速發部也好,對ACG也好,對中華電影也好
transcript.whisperx[6].start 133.115
transcript.whisperx[6].end 159.623
transcript.whisperx[6].text 是大家有了解以後啊是就一些問題就解決了嘛是沒錯謝謝我人的支持等一下省預算也比較好省一點非常感謝非常感謝另外就是那個海宮海鴻宮啊66號平台船是我們東營那邊不是有一條船嗎是上次我也跟你在這邊說明過嘛是那條船碰到亂流然後沉沒嘛是打到那個東營島去是把這個3號
transcript.whisperx[7].start 163.615
transcript.whisperx[7].end 186.72
transcript.whisperx[7].text 也沒有弄斷,那海巡就把他帶到港內,然後找了這條平台船來,那平台船很大,來幫忙修他是救護車的一個概念,你把人家海巡扣留在那邊,也沒去告也沒幹什麼後來我有請蘇發部那邊去處理,處理狀況怎麼樣?
transcript.whisperx[8].start 189.328
transcript.whisperx[8].end 207.494
transcript.whisperx[8].text 現在我們是不是請那個市長說明一下應該是已經離開了嘛劉市長你說明一下是 報委員謝委員隨詢那平台船跟那個擱淺的漁船都已經離開了那至於那個船長部分目前為止還在南竿那根據我們目前了解大概六月中旬會開庭開庭 對
transcript.whisperx[9].start 209.724
transcript.whisperx[9].end 231.477
transcript.whisperx[9].text 有人告他嗎因為海巡署有去做舉發的動作嘛那是不是有人告這個部分海巡署去舉發那東西是中華電信的啊你海巡署只舉發什麼因為破壞海嵐的話現在有可能有涉及刑法但是這個只是涉及而已但是因為相關市政還是要司法單位訴人是我受傷了你去告什麼
transcript.whisperx[10].start 233.418
transcript.whisperx[10].end 253.01
transcript.whisperx[10].text 你幫我去告,我沒有叫你告啊是,我沒有告,只是說海巡署部份他就有全責,剛剛委員有提到嘛,他就跟檢察官有去做備案的動作那檢察官認為什麼?呃,鮑委員這個檢察官司法不公開,我真的...司法不公開?我身法不公開,所以我確實...好,那你海巡告他什麼?
transcript.whisperx[11].start 254.689
transcript.whisperx[11].end 280.621
transcript.whisperx[11].text 這個因為我看到目前在所有資料之後他把遺送給檢察官檢察官有做筆錄這是以公開的訊息把人送給檢察官對就是船長的部分有告他嗎這個報告委員我不清楚海巡有沒有告他你也不知道海巡應該只是遺送要不然我打電話問我來問海巡有沒有告他他馬上就回答我了你們連這個都不去問喔因為這個涉及到你們也太扯了吧是是是
transcript.whisperx[12].start 281.821
transcript.whisperx[12].end 306.088
transcript.whisperx[12].text 立法院那邊在關心這個事情是不是這個船長的狀況怎麼樣還是船員的狀況怎麼樣船員都已經回去你們有沒有告他你們都不知道都無法掌握因為這是到檢察官的偵查部分跟檢察官什麼關係啊根據我了解誰有沒有告誰問當事單位問海巡就知道啦你用什麼告人家啊這個報告委員我真的不清楚
transcript.whisperx[13].start 306.69
transcript.whisperx[13].end 331.696
transcript.whisperx[13].text 人家船來救援,關他什麼事?你把海嵐撞壞了也是那條船嗎?是漁船的問題,跟救援船有什麼關係?我們會趕快去跟海巡那邊去了解一下不是我來問,你們才回答我你們都應該要掌握這個狀況我們下次會改進
transcript.whisperx[14].start 333.356
transcript.whisperx[14].end 348.87
transcript.whisperx[14].text 不是下次,還有下次喔?你下午就給我回報這個事情?沒問題沒問題好不好?跟這個船長一點關係都沒有啊船長很像又中風又什麼什麼的我們很麻煩欸,你們派個人去照顧他好了
transcript.whisperx[15].start 350.373
transcript.whisperx[15].end 376.582
transcript.whisperx[15].text 我知道部長這邊有派次長,在18、19號要到東營去,因為海嵐3號修好了嘛那你們看我非常感謝我也拜託縣長,也交代那邊的鄉長你們去,我不知道能不能去啦那不能去的話,次長,牛市長有沒有去?幫我邀有齁,你去
transcript.whisperx[16].start 378.089
transcript.whisperx[16].end 392.624
transcript.whisperx[16].text 女婿我叫他們給你注射高陽酒好了好不好因為你動作快一點嘛好不好還有你們跟海巡啊地檢署沒有傳你們去喔
transcript.whisperx[17].start 394.63
transcript.whisperx[17].end 411.654
transcript.whisperx[17].text 因為我們處理的是比較技術方面的問題,對於海上真正發生什麼事情,我們這邊比較少涉入這船長趕快讓他回去嘛好不好我想蘇巴部跟我們立法院的互動越來越好了是不是是,謝謝委員還有部長請後,請NCC陳主委
transcript.whisperx[18].start 424.98
transcript.whisperx[18].end 447.017
transcript.whisperx[18].text 委員好陳柱惟你7月31號是退休還是委員屆滿任期屆滿任期屆滿以後呢如果沒有其他的公職的一屆安排的話就不退休了退休你原來不是主任秘書嗎
transcript.whisperx[19].start 447.927
transcript.whisperx[19].end 476.665
transcript.whisperx[19].text 是 我仍然是長征文官沒錯那你就繼續幹走任秘書就好啦不代理啦前例大概比較難以以往NCC有很多長征文官出任委員後來大概都退休那你就退休那你退休以後又是來代理應該不會這樣子吧沒有我們在座同仁你們看一看我們這是民主嗎
transcript.whisperx[20].start 477.608
transcript.whisperx[20].end 498.102
transcript.whisperx[20].text 台灣在實施民主嗎這個體制內規定NCC委員出缺要趕快把人選送到立法院來嘛那立法院來行使同意權嘛是不是這樣那行使同意權你立法院如果不通過的話
transcript.whisperx[21].start 500.319
transcript.whisperx[21].end 527.991
transcript.whisperx[21].text 我就用代理的方式合理不合理上禮拜提秘書長 院秘書長有對媒體講比如說正在徵詢當初你說哪個秘書長行政院秘書長行政院秘書長對誰講跟媒體他是誰啊這裡是立法院 他對媒體講他是誰啊 他代表總統代表院長代表院長的幕僚長代表院長他的幕僚長這裡是立法院
transcript.whisperx[22].start 530.293
transcript.whisperx[22].end 552.151
transcript.whisperx[22].text 如果要立法院同意的東西我們立法院沒有通過然後行政院就可以代理派人代理嘛對不對我們三讀通過的法令如果行政院認為不爽就不附屬嘛是不是這樣不附屬檢察總長送來我們不同意
transcript.whisperx[23].start 553.424
transcript.whisperx[23].end 577.029
transcript.whisperx[23].text 那可以找個人代理是不是這樣那以後還要所有要經過立法院同意的事情行政院也不必把名單送到立法院來太麻煩了就直接派人代理就好了嘛代理的人也是他的目標嘛是不是代理檢察總長也是想幹檢察總長沒有通過嘛那他代理嘛一樣啊像NCE主委
transcript.whisperx[24].start 580.387
transcript.whisperx[24].end 601.076
transcript.whisperx[24].text 反正是你嘛對不對那後來不是你嘛後來我沒有通過沒有通過就你代理嘛那以後不要立法院同意啊各位這就是中華民國的民主是民主嗎這不是哪個黨派的問題啊是這樣的嗎民主是這樣的嗎民主這一堂課是這樣上的嗎選舉委員會也一樣如果這選舉委員沒有通過的話
transcript.whisperx[25].start 608.752
transcript.whisperx[25].end 628.484
transcript.whisperx[25].text 那由行政院來派代好那你們是什麼你們是超然獨立的機關超然獨立的機關可以由行政院來派代的話那還超然獨立什麼各位你們拼命理這是民主嗎不是民主
transcript.whisperx[26].start 637.554
transcript.whisperx[26].end 641.947
transcript.whisperx[26].text 那個習近平有這樣搞啊 沒有啊是不是 習近平有沒有這樣搞
transcript.whisperx[27].start 644.295
transcript.whisperx[27].end 672.429
transcript.whisperx[27].text 跟委員補充報告就NC的部分就是民國97年那個大法官4-613號有解釋行政的機關的事務由行政院統籌來大法官喔對好來你講大法官更好玩現在大法官幾個剩三個是不是三個也可以當家作主大法官只要剩一個就可以了我跟你講一個也可以OK啦我跟你講啦
transcript.whisperx[28].start 673.697
transcript.whisperx[28].end 697.255
transcript.whisperx[28].text 比總統權力還大啦這是大法官啊我很瞧不起我心裡面呸我跟你講我吐口口水不可以這樣嘛我很喜歡台灣這塊土地欸但不是這樣搞法啊是不是我內心的世界我也從來沒有去罵過誰啊主委我有罵過你嗎你問蘇巴部部長我有罵過你嗎
transcript.whisperx[29].start 699.738
transcript.whisperx[29].end 727.768
transcript.whisperx[29].text 我從來沒有欸你們的預算我都在幫你們維護欸是不是 即使將來交通委員會要審預算我們國民黨的系統可能也會砍你們預算我還會幫你們維護欸他們還說我藍皮綠骨 我什麼骨啊是不是什麼藍皮綠骨嘛我們講道理嘛 講制度嘛不可以這樣子啦我上次跟你們講那個名嘴
transcript.whisperx[30].start 729.725
transcript.whisperx[30].end 748.5
transcript.whisperx[30].text 鳴嘴在那邊,一講說那個誰,那個蔣萬安是讀稿機30個嘴巴通通讀稿機讀稿機全部都來了說我說要退黨,全部都來了30個說陳雪生要退黨,很霸氣講要退黨這幹什麼啊
transcript.whisperx[31].start 751.977
transcript.whisperx[31].end 770.736
transcript.whisperx[31].text 你們那個管理一下好不好打分數怎麼打的對電視台有沒有打分數啊你不能說讓這些名嘴在那邊拿那個什麼錢三千五千的我們尊重他的直播內容如果有違法的話我們會依法處理你們違法了幾件你們罰了多少錢
transcript.whisperx[32].start 772.625
transcript.whisperx[32].end 787.923
transcript.whisperx[32].text 那個主委啊違反事實大概這幾年都有總共發21件我們要有良心懂了沒有?要有良心要有良知我今天沒有質詢你啊,算跟你上了一課好不好?謝謝市長