iVOD / 163099

Field Value
IVOD_ID 163099
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163099
日期 2025-07-11
會議資料.會議代碼 院會-11-3-20
會議資料.會議代碼:str 第11屆第3會期第20次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 20
會議資料.種類 院會
會議資料.標題 第11屆第3會期第20次會議
影片種類 Clip
開始時間 2025-07-11T16:09:33+08:00
結束時間 2025-07-11T16:12:56+08:00
影片長度 00:03:23
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8f9418b77881b51dcde0bbb0ffc5c68797a80d7271198c9e26f686439637ab55ab3cf16057514ebe5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 16:09:33 - 16:12:56
會議時間 2025-07-11T09:00:00+08:00
會議名稱 第11屆第3會期第20次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長率同相關部會首長就『新世代打擊詐欺策略行動綱領2.0執行成效』進行專案報告並備質詢。」是否有當?請公決案等13案。二、7月11日上午9時至10時為國是論壇時間。三、7月15日下午5時至6時為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.45659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 18.93096875
transcript.pyannote[1].end 20.63534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 21.14159375
transcript.pyannote[2].end 21.63096875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.21721875
transcript.pyannote[3].end 24.01034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 25.37721875
transcript.pyannote[4].end 26.18721875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 27.36846875
transcript.pyannote[5].end 29.95034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 31.01346875
transcript.pyannote[6].end 31.41846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 31.80659375
transcript.pyannote[7].end 32.70096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 33.39284375
transcript.pyannote[8].end 34.65846875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 35.80596875
transcript.pyannote[9].end 37.34159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 38.59034375
transcript.pyannote[10].end 39.36659375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 40.19346875
transcript.pyannote[11].end 41.39159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 41.98221875
transcript.pyannote[12].end 42.79221875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 43.77096875
transcript.pyannote[13].end 46.67346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 46.99409375
transcript.pyannote[14].end 47.60159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 49.10346875
transcript.pyannote[15].end 50.28471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 51.04409375
transcript.pyannote[16].end 51.92159375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 52.71471875
transcript.pyannote[17].end 53.71034375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 55.19534375
transcript.pyannote[18].end 55.87034375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 56.37659375
transcript.pyannote[19].end 57.62534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 57.89534375
transcript.pyannote[20].end 59.29596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 60.15659375
transcript.pyannote[21].end 61.72596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 62.80596875
transcript.pyannote[22].end 64.13909375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 65.40471875
transcript.pyannote[23].end 66.18096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 67.71659375
transcript.pyannote[24].end 68.69534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 70.07909375
transcript.pyannote[25].end 71.39534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 72.01971875
transcript.pyannote[26].end 73.23471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 75.09096875
transcript.pyannote[27].end 75.88409375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 76.39034375
transcript.pyannote[28].end 80.52471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 81.18284375
transcript.pyannote[29].end 83.47784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 84.27096875
transcript.pyannote[30].end 86.09346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 86.85284375
transcript.pyannote[31].end 87.76409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 88.18596875
transcript.pyannote[32].end 88.74284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 89.35034375
transcript.pyannote[33].end 90.43034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 91.96596875
transcript.pyannote[34].end 94.58159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 95.25659375
transcript.pyannote[35].end 96.21846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 96.80909375
transcript.pyannote[36].end 97.75409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 98.39534375
transcript.pyannote[37].end 99.35721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 99.99846875
transcript.pyannote[38].end 100.96034375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 102.12471875
transcript.pyannote[39].end 103.40721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 103.69409375
transcript.pyannote[40].end 104.65596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 104.95971875
transcript.pyannote[41].end 106.46159375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 107.08596875
transcript.pyannote[42].end 108.62159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 109.85346875
transcript.pyannote[43].end 112.60409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 113.85284375
transcript.pyannote[44].end 115.67534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 116.55284375
transcript.pyannote[45].end 118.56096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 119.37096875
transcript.pyannote[46].end 121.09221875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 121.81784375
transcript.pyannote[47].end 125.51346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 126.08721875
transcript.pyannote[48].end 128.55096875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 129.00659375
transcript.pyannote[49].end 132.19596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 132.61784375
transcript.pyannote[50].end 133.88346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 134.33909375
transcript.pyannote[51].end 135.84096875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 136.09409375
transcript.pyannote[52].end 137.27534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 138.54096875
transcript.pyannote[53].end 141.08909375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 141.44346875
transcript.pyannote[54].end 142.77659375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 143.38409375
transcript.pyannote[55].end 144.80159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 145.34159375
transcript.pyannote[56].end 146.08409375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 146.86034375
transcript.pyannote[57].end 148.75034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 149.50971875
transcript.pyannote[58].end 150.74159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 151.28159375
transcript.pyannote[59].end 152.20971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 152.90159375
transcript.pyannote[60].end 153.89721875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 154.75784375
transcript.pyannote[61].end 156.20909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 157.32284375
transcript.pyannote[62].end 158.92596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 159.80346875
transcript.pyannote[63].end 161.57534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 162.04784375
transcript.pyannote[64].end 163.83659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 164.64659375
transcript.pyannote[65].end 168.05534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 168.62909375
transcript.pyannote[66].end 170.28284375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 170.72159375
transcript.pyannote[67].end 171.61596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 172.12221875
transcript.pyannote[68].end 174.26534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 174.65346875
transcript.pyannote[69].end 176.32409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 176.79659375
transcript.pyannote[70].end 177.65721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 177.84284375
transcript.pyannote[71].end 179.14221875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 179.58096875
transcript.pyannote[72].end 181.28534375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 181.60596875
transcript.pyannote[73].end 189.48659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 189.95909375
transcript.pyannote[74].end 191.62971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 192.11909375
transcript.pyannote[75].end 193.03034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 193.30034375
transcript.pyannote[76].end 195.76409375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 196.23659375
transcript.pyannote[77].end 197.21534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 197.58659375
transcript.pyannote[78].end 198.83534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 199.03784375
transcript.pyannote[79].end 201.34971875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 1.71
transcript.whisperx[0].text 各位全國鄉親大家好兩年前 老總統
transcript.whisperx[1].start 27.501
transcript.whisperx[1].end 34.585
transcript.whisperx[1].text 他說民進黨兩個最嚴重的問題第一是二金 它非常聽心第二是論文兩年來 民進黨的二金還沒清晰老總統有時候會覺得心優異 立不足我有點鼓勵 清二金 要清五鐵鐵
transcript.whisperx[2].start 55.416
transcript.whisperx[2].end 73.05
transcript.whisperx[2].text 過去太陽能發電有很多關係糾結,它也想要把它清乾淨。這個風太來,到底有水沒水,還是裡面都長鬼,大家看得很清楚。
transcript.whisperx[3].start 75.151
transcript.whisperx[3].end 85.513
transcript.whisperx[3].text 這個錢補給台電的 台電還送給這個太陽林的公司這樣不斷地損款糾結 羅總統也是很痛心心憂鬱 力不足 要拿出拼命這個錢要發給台灣人民付錢他們說要發錢 顧為鄉親啦 不是發錢啦這是你的錢
transcript.whisperx[4].start 102.165
transcript.whisperx[4].end 112.109
transcript.whisperx[4].text 過去五年來,我們的政府酬收的稅金一條八千億,去年就五千兩百八十三億。我們一人貸贖你一萬,貸回給你這是你的錢,才兩千三百四十億。
transcript.whisperx[5].start 122.017
transcript.whisperx[5].end 131.64
transcript.whisperx[5].text 當然民進黨一幫有錢的人就反對啊為什麼?因為這兩千三百億如果不貼給你留在這裡政府的發包他們就有錢要投他們就有錢要抽他們就有錢要專家有錢要選我發給你 什麼人敢給你抽五百八百沒人敢 對不對所以在野黨主張貼水還水移民
transcript.whisperx[6].start 149.551
transcript.whisperx[6].end 166.921
transcript.whisperx[6].text 合情 合理 盤不折去 心碎沒去白痴若有一萬塊 她可以投一口氣一個家庭若有四塊 就可以佔一年四萬今天如果政府有資金 來發錢給你 我反對
transcript.whisperx[7].start 168.7
transcript.whisperx[7].end 187.573
transcript.whisperx[7].text 今天政府機制 你不付錢 要打中年充胖子 我也反對今天不是 我們美人要有美 台灣的財政健康 撤銷一條八千多億花費你兩千三百四十億 還要一條三千億 用錢的喔 政府還要做好事
transcript.whisperx[8].start 192.176
transcript.whisperx[8].end 201.143
transcript.whisperx[8].text 所以大家不要煩惱 做你錢要拿起來好好地開 好好地過日子對你擔保要彌補利益啦