iVOD / 162699

Field Value
IVOD_ID 162699
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162699
日期 2025-06-19
會議資料.會議代碼 委員會-11-3-20-18
會議資料.會議代碼:str 第11屆第3會期財政委員會第18次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第18次全體委員會議
影片種類 Clip
開始時間 2025-06-19T09:40:58+08:00
結束時間 2025-06-19T09:54:36+08:00
影片長度 00:13:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/19817250edeb8a739113bb805ef29086eab13042bab466e3fe48e1f12328ce243fd1aa64397e0cb55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:40:58 - 09:54:36
會議時間 2025-06-19T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第18次全體委員會議(事由:邀請財政部莊部長翠雲、衛生福利部邱部長泰源、法務部、海洋委員會海巡署就「近三年菸酒管理法對於私菸(含電子菸 加熱菸)查緝成效與菸品健康捐經費分配及運作使用情形」進行專題報告,並備質詢。 【6月18日及19日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.44409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 0.06471875
transcript.pyannote[1].end 0.40221875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 2.44409375
transcript.pyannote[2].end 2.71409375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 2.46096875
transcript.pyannote[3].end 2.76471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 2.76471875
transcript.pyannote[4].end 6.22409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 3.20346875
transcript.pyannote[5].end 5.11034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 6.47721875
transcript.pyannote[6].end 8.48534375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 11.96159375
transcript.pyannote[7].end 11.97846875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 11.97846875
transcript.pyannote[8].end 12.46784375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 12.87284375
transcript.pyannote[9].end 13.39596875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 12.95721875
transcript.pyannote[10].end 14.72909375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 15.33659375
transcript.pyannote[11].end 18.61034375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 19.06596875
transcript.pyannote[12].end 23.16659375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 23.75721875
transcript.pyannote[13].end 27.84096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 28.33034375
transcript.pyannote[14].end 30.49034375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 30.96284375
transcript.pyannote[15].end 34.82721875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 35.23221875
transcript.pyannote[16].end 37.86471875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 38.40471875
transcript.pyannote[17].end 39.18096875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 39.45096875
transcript.pyannote[18].end 44.12534375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 44.53034375
transcript.pyannote[19].end 45.72846875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 45.89721875
transcript.pyannote[20].end 47.92221875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 48.25971875
transcript.pyannote[21].end 49.77846875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 49.93034375
transcript.pyannote[22].end 53.28846875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 56.51159375
transcript.pyannote[23].end 59.02596875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 57.86159375
transcript.pyannote[24].end 59.26221875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 59.65034375
transcript.pyannote[25].end 60.00471875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 60.22409375
transcript.pyannote[26].end 61.33784375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 60.57846875
transcript.pyannote[27].end 61.21971875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 61.33784375
transcript.pyannote[28].end 61.37159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 61.81034375
transcript.pyannote[29].end 63.73409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 64.22346875
transcript.pyannote[30].end 75.61409375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 65.01659375
transcript.pyannote[31].end 67.10909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 76.23846875
transcript.pyannote[32].end 82.21221875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 82.21221875
transcript.pyannote[33].end 83.89971875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 82.48221875
transcript.pyannote[34].end 87.49409375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 84.47346875
transcript.pyannote[35].end 86.75159375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 87.61221875
transcript.pyannote[36].end 88.52346875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 89.23221875
transcript.pyannote[37].end 89.94096875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 89.94096875
transcript.pyannote[38].end 89.95784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 89.95784375
transcript.pyannote[39].end 89.97471875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 89.97471875
transcript.pyannote[40].end 91.03784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 91.32471875
transcript.pyannote[41].end 91.34159375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 91.34159375
transcript.pyannote[42].end 94.14284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 94.63221875
transcript.pyannote[43].end 96.94409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 97.11284375
transcript.pyannote[44].end 100.45409375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 100.94346875
transcript.pyannote[45].end 110.59596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 111.27096875
transcript.pyannote[46].end 111.97971875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 112.95846875
transcript.pyannote[47].end 115.16909375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 115.35471875
transcript.pyannote[48].end 117.66659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 117.66659375
transcript.pyannote[49].end 117.70034375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 119.21909375
transcript.pyannote[50].end 119.23596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 119.23596875
transcript.pyannote[51].end 121.42971875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 122.37471875
transcript.pyannote[52].end 128.95596875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 129.64784375
transcript.pyannote[53].end 131.97659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 132.33096875
transcript.pyannote[54].end 133.46159375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 133.46159375
transcript.pyannote[55].end 137.07284375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 137.98409375
transcript.pyannote[56].end 138.57471875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 138.99659375
transcript.pyannote[57].end 143.19846875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 143.53596875
transcript.pyannote[58].end 145.27409375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 145.78034375
transcript.pyannote[59].end 149.20596875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 149.42534375
transcript.pyannote[60].end 161.03534375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 161.03534375
transcript.pyannote[61].end 175.27784375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 175.71659375
transcript.pyannote[62].end 179.96909375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 177.84284375
transcript.pyannote[63].end 178.78784375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 179.96909375
transcript.pyannote[64].end 180.25596875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 180.82971875
transcript.pyannote[65].end 181.92659375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 182.51721875
transcript.pyannote[66].end 182.83784375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 182.92221875
transcript.pyannote[67].end 185.52096875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 186.33096875
transcript.pyannote[68].end 186.85409375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 187.78221875
transcript.pyannote[69].end 188.45721875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 189.46971875
transcript.pyannote[70].end 190.24596875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 194.34659375
transcript.pyannote[71].end 194.46471875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 194.46471875
transcript.pyannote[72].end 194.49846875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 194.49846875
transcript.pyannote[73].end 194.56596875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 194.56596875
transcript.pyannote[74].end 194.73471875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 194.73471875
transcript.pyannote[75].end 194.78534375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 194.78534375
transcript.pyannote[76].end 194.86971875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 194.92034375
transcript.pyannote[77].end 195.13971875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 195.20721875
transcript.pyannote[78].end 197.29971875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 197.83971875
transcript.pyannote[79].end 199.27409375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 199.42596875
transcript.pyannote[80].end 202.10909375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 202.53096875
transcript.pyannote[81].end 204.70784375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 204.89346875
transcript.pyannote[82].end 205.73721875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 205.90596875
transcript.pyannote[83].end 206.95221875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 207.35721875
transcript.pyannote[84].end 209.01096875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 209.23034375
transcript.pyannote[85].end 210.69846875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 211.57596875
transcript.pyannote[86].end 211.67721875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 212.16659375
transcript.pyannote[87].end 236.14596875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 236.21346875
transcript.pyannote[88].end 255.31596875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 236.65221875
transcript.pyannote[89].end 237.20909375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 255.65346875
transcript.pyannote[90].end 255.67034375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 255.67034375
transcript.pyannote[91].end 255.70409375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 255.70409375
transcript.pyannote[92].end 257.47596875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 257.27346875
transcript.pyannote[93].end 257.69534375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 258.10034375
transcript.pyannote[94].end 260.83409375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 260.96909375
transcript.pyannote[95].end 265.08659375
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 261.12096875
transcript.pyannote[96].end 262.20096875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 265.66034375
transcript.pyannote[97].end 270.82409375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 271.27971875
transcript.pyannote[98].end 275.32971875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 275.39721875
transcript.pyannote[99].end 285.38721875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 286.11284375
transcript.pyannote[100].end 288.54284375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 288.99846875
transcript.pyannote[101].end 289.40346875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 289.79159375
transcript.pyannote[102].end 291.79971875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 292.69409375
transcript.pyannote[103].end 293.48721875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 293.62221875
transcript.pyannote[104].end 296.77784375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 296.86221875
transcript.pyannote[105].end 297.97596875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 299.12346875
transcript.pyannote[106].end 299.91659375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 300.37221875
transcript.pyannote[107].end 302.31284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 302.31284375
transcript.pyannote[108].end 302.32971875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 303.74721875
transcript.pyannote[109].end 338.99909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 339.79221875
transcript.pyannote[110].end 345.69846875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 346.18784375
transcript.pyannote[111].end 351.60471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 351.99284375
transcript.pyannote[112].end 354.59159375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 352.83659375
transcript.pyannote[113].end 353.71409375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 354.87846875
transcript.pyannote[114].end 358.42221875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 359.38409375
transcript.pyannote[115].end 362.45534375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 361.47659375
transcript.pyannote[116].end 363.73784375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 363.01221875
transcript.pyannote[117].end 369.61034375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 369.61034375
transcript.pyannote[118].end 370.94346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 369.64409375
transcript.pyannote[119].end 369.84659375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 369.88034375
transcript.pyannote[120].end 369.89721875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 370.94346875
transcript.pyannote[121].end 373.20471875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 373.42409375
transcript.pyannote[122].end 388.47659375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 374.36909375
transcript.pyannote[123].end 376.96784375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 378.06471875
transcript.pyannote[124].end 378.55409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 388.57784375
transcript.pyannote[125].end 391.71659375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 390.80534375
transcript.pyannote[126].end 394.36596875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 394.80471875
transcript.pyannote[127].end 396.54284375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 397.23471875
transcript.pyannote[128].end 399.27659375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 399.46221875
transcript.pyannote[129].end 400.82909375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 402.58409375
transcript.pyannote[130].end 410.88659375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 410.51534375
transcript.pyannote[131].end 411.88221875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 411.98346875
transcript.pyannote[132].end 413.80596875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 414.16034375
transcript.pyannote[133].end 422.83409375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 414.43034375
transcript.pyannote[134].end 416.42159375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 422.83409375
transcript.pyannote[135].end 423.96471875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 423.96471875
transcript.pyannote[136].end 425.17971875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 425.17971875
transcript.pyannote[137].end 425.21346875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 425.21346875
transcript.pyannote[138].end 425.23034375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 426.83346875
transcript.pyannote[139].end 427.77846875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 427.40721875
transcript.pyannote[140].end 427.71096875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 427.77846875
transcript.pyannote[141].end 427.96409375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 427.96409375
transcript.pyannote[142].end 429.70221875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 430.25909375
transcript.pyannote[143].end 432.31784375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 432.31784375
transcript.pyannote[144].end 432.38534375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 433.00971875
transcript.pyannote[145].end 433.02659375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 433.02659375
transcript.pyannote[146].end 434.62971875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 433.95471875
transcript.pyannote[147].end 434.68034375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 434.68034375
transcript.pyannote[148].end 437.63346875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 438.02159375
transcript.pyannote[149].end 445.61534375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 446.61096875
transcript.pyannote[150].end 449.02409375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 451.09971875
transcript.pyannote[151].end 454.32284375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 455.08221875
transcript.pyannote[152].end 457.03971875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 457.84971875
transcript.pyannote[153].end 457.96784375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 457.96784375
transcript.pyannote[154].end 458.32221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 459.62159375
transcript.pyannote[155].end 460.63409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 460.95471875
transcript.pyannote[156].end 465.42659375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 464.17784375
transcript.pyannote[157].end 465.10596875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 465.61221875
transcript.pyannote[158].end 468.09284375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 468.49784375
transcript.pyannote[159].end 469.29096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 469.47659375
transcript.pyannote[160].end 470.99534375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 472.59846875
transcript.pyannote[161].end 474.69096875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 474.69096875
transcript.pyannote[162].end 475.11284375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 475.11284375
transcript.pyannote[163].end 475.12971875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 475.46721875
transcript.pyannote[164].end 475.65284375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 475.65284375
transcript.pyannote[165].end 475.68659375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 475.68659375
transcript.pyannote[166].end 475.88909375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 476.32784375
transcript.pyannote[167].end 476.64846875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 477.40784375
transcript.pyannote[168].end 478.25159375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 478.55534375
transcript.pyannote[169].end 479.23034375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 479.90534375
transcript.pyannote[170].end 481.62659375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 481.98096875
transcript.pyannote[171].end 483.38159375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 483.61784375
transcript.pyannote[172].end 483.93846875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 484.09034375
transcript.pyannote[173].end 485.23784375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 486.68909375
transcript.pyannote[174].end 488.37659375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 488.42721875
transcript.pyannote[175].end 488.49471875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 488.59596875
transcript.pyannote[176].end 489.18659375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 489.43971875
transcript.pyannote[177].end 489.79409375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 490.01346875
transcript.pyannote[178].end 490.65471875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 490.85721875
transcript.pyannote[179].end 491.19471875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 491.22846875
transcript.pyannote[180].end 492.59534375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 493.15221875
transcript.pyannote[181].end 498.02909375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 498.38346875
transcript.pyannote[182].end 500.71221875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 501.33659375
transcript.pyannote[183].end 503.73284375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 503.90159375
transcript.pyannote[184].end 504.12096875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 504.54284375
transcript.pyannote[185].end 507.44534375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 507.69846875
transcript.pyannote[186].end 508.74471875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 509.01471875
transcript.pyannote[187].end 509.62221875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 510.09471875
transcript.pyannote[188].end 513.58784375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 513.58784375
transcript.pyannote[189].end 522.26159375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 522.53159375
transcript.pyannote[190].end 523.96596875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 524.45534375
transcript.pyannote[191].end 526.80096875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 527.13846875
transcript.pyannote[192].end 527.93159375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 527.93159375
transcript.pyannote[193].end 529.24784375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 528.38721875
transcript.pyannote[194].end 535.12034375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 535.64346875
transcript.pyannote[195].end 536.95971875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 537.02721875
transcript.pyannote[196].end 538.83284375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 539.69346875
transcript.pyannote[197].end 542.24159375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 542.37659375
transcript.pyannote[198].end 542.39346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 542.39346875
transcript.pyannote[199].end 542.95034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 542.95034375
transcript.pyannote[200].end 542.96721875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 542.96721875
transcript.pyannote[201].end 544.03034375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 544.03034375
transcript.pyannote[202].end 544.24971875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 544.57034375
transcript.pyannote[203].end 551.32034375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 551.32034375
transcript.pyannote[204].end 552.40034375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 553.21034375
transcript.pyannote[205].end 557.56409375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 556.83846875
transcript.pyannote[206].end 557.58096875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 557.58096875
transcript.pyannote[207].end 557.63159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 557.98596875
transcript.pyannote[208].end 564.16221875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 564.16221875
transcript.pyannote[209].end 566.28846875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 566.94659375
transcript.pyannote[210].end 567.92534375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 567.97596875
transcript.pyannote[211].end 568.02659375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 568.07721875
transcript.pyannote[212].end 571.35096875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 571.70534375
transcript.pyannote[213].end 572.14409375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 572.36346875
transcript.pyannote[214].end 578.72534375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 579.06284375
transcript.pyannote[215].end 579.40034375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 580.00784375
transcript.pyannote[216].end 582.04971875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 582.60659375
transcript.pyannote[217].end 583.77096875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 584.68221875
transcript.pyannote[218].end 585.86346875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 586.90971875
transcript.pyannote[219].end 587.48346875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 588.32721875
transcript.pyannote[220].end 589.20471875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 589.62659375
transcript.pyannote[221].end 590.04846875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 590.94284375
transcript.pyannote[222].end 591.97221875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 593.25471875
transcript.pyannote[223].end 602.58659375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 601.84409375
transcript.pyannote[224].end 603.58221875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 604.89846875
transcript.pyannote[225].end 608.83034375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 608.83034375
transcript.pyannote[226].end 615.15846875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 615.88409375
transcript.pyannote[227].end 616.60971875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 617.75721875
transcript.pyannote[228].end 628.08471875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 619.90034375
transcript.pyannote[229].end 620.94659375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 623.15721875
transcript.pyannote[230].end 624.03471875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 624.03471875
transcript.pyannote[231].end 624.38909375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 624.38909375
transcript.pyannote[232].end 624.67596875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 624.67596875
transcript.pyannote[233].end 624.74346875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 624.74346875
transcript.pyannote[234].end 624.77721875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 625.95846875
transcript.pyannote[235].end 626.29596875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 628.99596875
transcript.pyannote[236].end 629.33346875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 629.65409375
transcript.pyannote[237].end 632.05034375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 633.04596875
transcript.pyannote[238].end 633.09659375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 633.09659375
transcript.pyannote[239].end 644.52096875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 633.40034375
transcript.pyannote[240].end 634.66596875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 634.66596875
transcript.pyannote[241].end 634.68284375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 634.68284375
transcript.pyannote[242].end 634.69971875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 634.69971875
transcript.pyannote[243].end 634.75034375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 634.75034375
transcript.pyannote[244].end 634.95284375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 634.95284375
transcript.pyannote[245].end 637.01159375
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 644.84159375
transcript.pyannote[246].end 645.02721875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 645.02721875
transcript.pyannote[247].end 645.75284375
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 645.75284375
transcript.pyannote[248].end 645.93846875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 645.93846875
transcript.pyannote[249].end 645.97221875
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 645.97221875
transcript.pyannote[250].end 646.02284375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 646.02284375
transcript.pyannote[251].end 646.84971875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 648.80721875
transcript.pyannote[252].end 662.96534375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 661.86846875
transcript.pyannote[253].end 662.91471875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 662.96534375
transcript.pyannote[254].end 663.01596875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 663.01596875
transcript.pyannote[255].end 663.69096875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 663.69096875
transcript.pyannote[256].end 663.91034375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 663.91034375
transcript.pyannote[257].end 663.94409375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 663.94409375
transcript.pyannote[258].end 663.96096875
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 663.96096875
transcript.pyannote[259].end 663.97784375
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 663.97784375
transcript.pyannote[260].end 664.02846875
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 664.02846875
transcript.pyannote[261].end 667.30221875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 664.06221875
transcript.pyannote[262].end 665.22659375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 667.53846875
transcript.pyannote[263].end 670.03596875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 670.03596875
transcript.pyannote[264].end 670.82909375
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 670.82909375
transcript.pyannote[265].end 670.87971875
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 671.23409375
transcript.pyannote[266].end 671.25096875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 671.25096875
transcript.pyannote[267].end 674.01846875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 674.40659375
transcript.pyannote[268].end 676.02659375
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 676.63409375
transcript.pyannote[269].end 677.62971875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 678.05159375
transcript.pyannote[270].end 680.07659375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 680.66721875
transcript.pyannote[271].end 681.71346875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 682.15221875
transcript.pyannote[272].end 683.53596875
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 684.17721875
transcript.pyannote[273].end 684.93659375
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 685.67909375
transcript.pyannote[274].end 687.41721875
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 687.63659375
transcript.pyannote[275].end 688.73346875
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 689.18909375
transcript.pyannote[276].end 689.77971875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 690.15096875
transcript.pyannote[277].end 690.38721875
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 690.58971875
transcript.pyannote[278].end 691.21409375
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 691.95659375
transcript.pyannote[279].end 692.56409375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 693.17159375
transcript.pyannote[280].end 694.87596875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 695.60159375
transcript.pyannote[281].end 698.06534375
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 698.65596875
transcript.pyannote[282].end 699.43221875
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 700.37721875
transcript.pyannote[283].end 701.99721875
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 702.23346875
transcript.pyannote[284].end 704.61284375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 704.88284375
transcript.pyannote[285].end 707.51534375
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 707.92034375
transcript.pyannote[286].end 709.28721875
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 709.69221875
transcript.pyannote[287].end 710.29971875
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 710.72159375
transcript.pyannote[288].end 711.36284375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 711.91971875
transcript.pyannote[289].end 713.89409375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 714.85596875
transcript.pyannote[290].end 748.62284375
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 746.90159375
transcript.pyannote[291].end 748.67346875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 749.17971875
transcript.pyannote[292].end 750.34409375
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 750.44534375
transcript.pyannote[293].end 752.68971875
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 753.39846875
transcript.pyannote[294].end 754.71471875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 754.91721875
transcript.pyannote[295].end 754.95096875
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 754.95096875
transcript.pyannote[296].end 765.02534375
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 755.27159375
transcript.pyannote[297].end 756.90846875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 765.24471875
transcript.pyannote[298].end 767.97846875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 766.49346875
transcript.pyannote[299].end 766.84784375
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 767.97846875
transcript.pyannote[300].end 768.87284375
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 769.44659375
transcript.pyannote[301].end 769.46346875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 769.46346875
transcript.pyannote[302].end 773.81721875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 774.27284375
transcript.pyannote[303].end 774.84659375
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 775.25159375
transcript.pyannote[304].end 776.14596875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 776.14596875
transcript.pyannote[305].end 776.21346875
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 776.21346875
transcript.pyannote[306].end 776.23034375
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 776.23034375
transcript.pyannote[307].end 778.79534375
transcript.pyannote[308].speaker SPEAKER_03
transcript.pyannote[308].start 779.13284375
transcript.pyannote[308].end 781.63034375
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 782.62596875
transcript.pyannote[309].end 788.97096875
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 788.51534375
transcript.pyannote[310].end 792.07596875
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 789.03846875
transcript.pyannote[311].end 789.35909375
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 792.63284375
transcript.pyannote[312].end 794.16846875
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 792.78471875
transcript.pyannote[313].end 795.34971875
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 795.65346875
transcript.pyannote[314].end 802.52159375
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 800.20971875
transcript.pyannote[315].end 806.47034375
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 803.75346875
transcript.pyannote[316].end 804.02346875
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 805.10346875
transcript.pyannote[317].end 808.52909375
transcript.whisperx[0].start 0.89
transcript.whisperx[0].end 8.014
transcript.whisperx[0].text 請財政部的莊部長以及海巡署的謝副署長來 海巡署的謝副署長兩位長官早因為媒體揭露了說你這個查緝私淵的祭司獎金
transcript.whisperx[1].start 23.834
transcript.whisperx[1].end 52.904
transcript.whisperx[1].text 每一年八千萬幾乎資訊率百分之百全部領光了結果呢 剛才我也有提到啊結果就發現說已經被逮到了彰化那個地方我們的棄屍就是海巡署底下的這個人 然後你跟這個等於啊找他的職業走私人頭有勾串把這個錢都領光光這個事情你們現在到底媒體這樣揭露沒看到你們的反應你們到底查得怎麼樣
transcript.whisperx[2].start 57.093
transcript.whisperx[2].end 66.479
transcript.whisperx[2].text 有沒有這回事現在是偵查中偵查中已經好幾天了咧3月11號搜索調查開始之後我們依照規定6月11號跟他現在機下還有一位立刻免職
transcript.whisperx[3].start 76.277
transcript.whisperx[3].end 98.642
transcript.whisperx[3].text 那另外兩位呢因為現在偵查中我們會列為年終考劇淘汰的對象所以涉入的有三位是不是有三位一位羈押兩位交保交保那為了你怎麼逢他們這個東西歷史所在啊各位幫我們現在我去年就聽過規定所有在做檢舉筆錄的時候隊長親自在場
transcript.whisperx[4].start 100.984
transcript.whisperx[4].end 128.359
transcript.whisperx[4].text 第二個核發獎金依照規定核發獎金下來之後要頒發的時候要由政風人員在現場不僅要保護他的身份而且要確認檢舉的真實性這個紀司員你們的官員的你這個獎金不是什麼機密吧不是機密吧我們所有的那個破壞獎金就是那個查緝獎金最多一個人如果沒有有檢舉的人只有3萬5
transcript.whisperx[5].start 129.69
transcript.whisperx[5].end 146.959
transcript.whisperx[5].text 沒有檢舉人的話最多也只有7萬7萬很多耶7萬不是只有很多耶我希望這個事情這個很丟臉海巡署很丟臉我覺得要徹底的把它怎麼樣糾正過來不要
transcript.whisperx[6].start 149.54
transcript.whisperx[6].end 175.055
transcript.whisperx[6].text 海巡署啊 拼命講預算不夠啊幹什麼這個不夠那個不夠結果一有機會就這樣子這個撈這個把預算整個吃掉很不好啊 副署長報告委員 報告委員那個台中茶具隊最近三年就申請那個工廠喔 實驗工廠就這一件171萬所以對廟外界講的議員喔我想這樣對辛苦工作的海巡隊員是不公平的
transcript.whisperx[7].start 175.475
transcript.whisperx[7].end 188.035
transcript.whisperx[7].text 好得了啦這一件我們對於惡犯罪絕對不凌東震要凌犯罪的你請我啦我們就請那個邱部長一起上來好了邱部長邱部長來
transcript.whisperx[8].start 194.002
transcript.whisperx[8].end 196.724
transcript.whisperx[8].text 因為美國的對等關稅的關係,一到五月份外銷非常暢旺,大家提早出貨,售收有沒有增加?
transcript.whisperx[9].start 212.192
transcript.whisperx[9].end 229.707
transcript.whisperx[9].text 跟委員報告一到五月份這個部分在比較上可能有一些還沒有太大的意義為什麼因為大宗的稅款就是中所稅跟銀所稅那一般是到五月底結算以及繳納那今年因為延到六月底所以今年的一個數額到五月底的數額
transcript.whisperx[10].start 230.632
transcript.whisperx[10].end 257.138
transcript.whisperx[10].text 在比較上沒有太大的相同基礎所以要到六月底才會比較明確那個證交稅呢證交稅是比去年的同期是來的少的少多少少大概有兩百少了兩百二十六億比去年同期一到五的少少的百分比呢少的百分比是百分之十九點五那很多耶對 十九點五 對那因為成交量的關係是好 莊部長你請回了謝謝
transcript.whisperx[11].start 258.518
transcript.whisperx[11].end 285.215
transcript.whisperx[11].text 我請教這個邱部長剛才大家都一直在罵這個家樂園 我也罵家樂園家樂園 你看到喔這個年成長率是百分之八九十這個大家就會想說 那標準趕快出來一拖 二拖 三拖 四拖使得我們的稅損減少一百億了有人這樣算過好 現在有一頂帽子戴在你頭上
transcript.whisperx[12].start 286.155
transcript.whisperx[12].end 290.682
transcript.whisperx[12].text 有媒體這樣講 邱部長你仔細聽喔他說 衛福部卡關駐長嘉樂園的走私這頂帽子好大一頂喔 你要回應一下吧你們卡關 所以走私 拼命走私
transcript.whisperx[13].start 303.772
transcript.whisperx[13].end 317.998
transcript.whisperx[13].text 我想報告召委,Ni防治法當然就是我在衛環委員會當立委的時候當然也討論了很久,那裡面特別又要求要審查所以變成有指定N品健康風險評估審查辦法的一個制定,那這是兩年前的事情
transcript.whisperx[14].start 321.94
transcript.whisperx[14].end 338.742
transcript.whisperx[14].text 那不管有辦法還有審查委員怎麼找那都找好了就一直在審所以它其實它是有標準的不是沒有標準一直有標準只是說等一下請吳司長可以補充就是據我整個去了解它整個過程就是
transcript.whisperx[15].start 339.967
transcript.whisperx[15].end 354.384
transcript.whisperx[15].text 審查委員有意見就變成審查會的意見嘛然後就請業者去補就這樣來來回回然後他其實開會開了五十幾次以上最主要的問題是什麼地方告不定
transcript.whisperx[16].start 359.697
transcript.whisperx[16].end 388.183
transcript.whisperx[16].text 應該都是風險評估這個部分風險評估 什麼樣的風險評估是這樣子啦 我要求健康署去把所有的會議能公告的健康署的署長還是副署長都能夠盡量給大家知道你跟我講一下 什麼風險 什麼樣的風險知道問題在哪裡有時候其實是有時候其實我據我了解有時候是業者提出來的就沒有符合上一次的要求所以這樣的一個其實我相信他們也省得很痛苦啦
transcript.whisperx[17].start 388.963
transcript.whisperx[17].end 400.672
transcript.whisperx[17].text 那這中間其實大家要你告訴我們一個啦 大家很關心的 給我們一個時間表可以嗎什麼時候渴望落日 這個法審定什麼時候 今年可不可以 今年底
transcript.whisperx[18].start 402.622
transcript.whisperx[18].end 424.439
transcript.whisperx[18].text 我想我們會因為有很多都已經進入到最後的階段所以應該希望業者能夠在最後的不需要到今年底嗎我們越快越好在三個月可以嗎按照他的規定我們當海在行政手續絕對一定是用最快的速度在處理三個月內可以搞定嗎 三個月
transcript.whisperx[19].start 427.534
transcript.whisperx[19].end 448.36
transcript.whisperx[19].text 三個月可以搞定嗎我們希望能夠可以嗎 目標三個月搞定可以嗎我們希望能夠另外其實大家對加拿大的擔心是因為裡面可以放大麻的萃取物一堆什麼之類的有獨架什麼之類的你在這裡是不是可以承諾
transcript.whisperx[20].start 451.378
transcript.whisperx[20].end 458.063
transcript.whisperx[20].text 衛福部站在保障國人的健康大麻絕對不可老化可以嗎
transcript.whisperx[21].start 460.133
transcript.whisperx[21].end 483.09
transcript.whisperx[21].text 大麻到目前為止也是未來也都不會有開放的這種絕對不會因為法務部的次長公開承諾大麻絕對不合法法務部也不同意開放法務部就不開放大麻大麻在台灣這個地方不可以合法電子煙
transcript.whisperx[22].start 486.718
transcript.whisperx[22].end 508.063
transcript.whisperx[22].text 也是不能喝嘛 是不是是的好 這兩個好 第二個問題我想請教這個AIT不僅僅關心我們的什麼急救保啦還關心我們的血袋不夠啊說我們的血袋啊 裝血那個袋子啊那有什麼了不起台灣沒有做 都是靠進口的部長 你在說什麼為什麼
transcript.whisperx[23].start 510.303
transcript.whisperx[23].end 530.158
transcript.whisperx[23].text 為什麼這個血袋你自己拿著做啊?你要怎麼做?我想賴昭偉是算醫療中的很了解醫療的委員啦齁我說實在我也不清楚為什麼當時為什麼血袋都不能做?可能因為他透視的技術或者是說做這個是過去怎麼樣目前我們要做的就是血袋我們要國產
transcript.whisperx[24].start 539.878
transcript.whisperx[24].end 552.164
transcript.whisperx[24].text 這是在做的方向,是不是我們那個食藥署食藥署來,食藥署署長副署長賴委員報告,目前雪袋的部分已經有一家國產業者在上個月底跟我們申請產業登記什麼時候可以開始生產
transcript.whisperx[25].start 553.78
transcript.whisperx[25].end 577.668
transcript.whisperx[25].text 我們儘速審查 因為之前我們已經有跟他做過相關的 順利的話順利的話應該下半年就可以拿到許可證就可以開始有產品出來供應國內醫療院所使用這個實在丟臉啦 我們現在等於是台灣雲霧要快打上的樣子 然後都是AIT給我們指指點點我們的這個醫療準備 他說我們的這個急難包也是他來給我們講
transcript.whisperx[26].start 580.069
transcript.whisperx[26].end 591.696
transcript.whisperx[26].text 請問你,如果打仗,血漿夠不夠?部長,血漿夠不夠?血漿夠不夠?當然,血漿方面我們會不會,如果是全血就不敢講,血漿我們已經儲備了相當的一個量多長?血漿多少?
transcript.whisperx[27].start 605.472
transcript.whisperx[27].end 614.277
transcript.whisperx[27].text 我們把這個數字了解以後再報給委員會相關的消煙料呢主要打仗用的最常用的當然是止痛藥消煙料這個
transcript.whisperx[28].start 617.996
transcript.whisperx[28].end 636.169
transcript.whisperx[28].text 我相信這個我們衛福部有一個韌性的計畫因為這個是有他就要有一個重要的韌性的我們醫事室報告一下好不好醫事室下面的人拜託像周偉報告我們對於這個戰略的本來就有準備十萬人份的外傷的相關的藥品這個是過往就已經準備了有沒有規劃地下醫院
transcript.whisperx[29].start 649.42
transcript.whisperx[29].end 667.034
transcript.whisperx[29].text 這個部分也跟周委做一個報告事實上這個我們也在準備我們現在的公立醫院如果有新建的這個建築物我們都要求在地下應該要有準備這個醫療的空間所以只要有新蓋的都要要求地下化是不是我們現在的公立醫院我們都有要求
transcript.whisperx[30].start 667.614
transcript.whisperx[30].end 694.713
transcript.whisperx[30].text 好 最後一個 來部長 大家很關心的題目中融第一季斷頭3億 第二季斷頭5億外務部規定每一季不可以比去年多因為你們為了要那個點數好看北農6月初已經達到了同去年同一季的100%之後啊 這都是做功德啦
transcript.whisperx[31].start 695.686
transcript.whisperx[31].end 713.784
transcript.whisperx[31].text 事實上對醫務人員就是減薪啊這個事情啊這個部長啊 你是表面好看 哇0.9 0.95對賴總統有交代 可是對醫務人員變相都減薪耶現在總統沒錢總統就最好的例子 不用也是啊
transcript.whisperx[32].start 714.898
transcript.whisperx[32].end 723.103
transcript.whisperx[32].text 只要跟稍微簡單報告 整理要報告一下中榮來講因為他成長的率其實也太快他成長的7.6%我們已經給他7.6%了已經高過中區6.0%的標準
transcript.whisperx[33].start 730.228
transcript.whisperx[33].end 749.703
transcript.whisperx[33].text 那他因為第一屆領到的錢比去年多領了2.5億那我們希望醫學中心真的要落實分級醫療也這樣讓醫學中心的同仁當然薪水不減低之下減輕負擔這個部分都不會影響到相信都不會影響到現在已經有了我剛剛講了北龍現在6月10號就已經達標了
transcript.whisperx[34].start 753.604
transcript.whisperx[34].end 780.776
transcript.whisperx[34].text 後蓋作為都給作為不是不是給作為啦有打折啦我們會還有就是特別強調一下剛性需求譬如說你看重症你看急症這個我們都健保都會補給他所以秉作道才是正道啊有沒有考慮我們要爭取把碳費做補充保費可不可以你要不要這樣主張我想這個都大家一直在研議當中保費增加你想辦法去拿錢啊
transcript.whisperx[35].start 783.714
transcript.whisperx[35].end 806
transcript.whisperx[35].text 謝謝委員一直把我們健保的資源能夠增加你在這個時空要漲保費不容易啦去漲碳費可以啦我們會多元化而且委員也知道這個政府在公務預算的預支真的也不少啦所以今年是有史以來最高的啦其他你就用書面來給賴召委好不好好的沒問題沒問題好謝謝召委謝謝委員