{
  "text": "利用Whisperger给日语电影配中文字幕的终极教程,如何让人工校正最轻松?\n1.下载Whisperger模式选择双通道模式。\nPAS1选择Fidelity模式Balance灵敏度加OutTalk能量检测加10.5分段更细,不会字幕过长。\nPAS2选择Balance模式Aggressive灵敏度加Colero加Colero6.2V。\n第一遍保证模式才是准确度的大头,准确度占比80%,\n第二遍只是填充的,以弥补字幕不全。\n所以PAS1保证模式必选精细度最高的OutTalk加10。\n而PAS2平衡模式准确度更低,仅仅为了填充,所以选精细度不高的Colero,保证模式更强。\n而且比平衡模式准确度强太多,保证模式是FP16,平衡模式是影的8。\n所以必选以PAS1为主,PAS2填充,这样准确度更高后期人工校正更轻松。\n2. 模型必选Large VR而不是Large V3。\nVR等于日语专精型,V3等于全球平均型,转入日语首选V2。\nV3做了两个大升级,梅尔平谱从80-128,日语更容易收噪音影响。\n词调Token扩容加了很多小语种,日语全重下降。\n这两个改动对日语全是浮悠化。\nV3更改编,日语最受不了幻觉。\nV3为了流畅度更容易脑补内容,日语一脑补就是语法错,禁语错,注词。\n错VR更保守,不乱编日语反而更稳。\n3. Whisper J A V尽管能把Large VR的幻觉降低,但是实测幻觉依然存在。\n可以使用AI翻译成中文后,用Subtitle Edit软件打开该字幕。\n进入多重替换,用正则表达式或者正常字符替换添加幻觉词消除。\nLarge VR转写加AI翻译后的幻觉并非随机乱码,而是有明确的高频固定模式。\n多余的冗于双引号,莫名出现的人物前缀,固定同音措辞等。\n色Title Edit的多重替换,支持一次性导入整份规则库,也就是我提到的幻觉词表。\n双引号修正规则,全局批量执行,还可以反复运行二到三次彻底清理。\n全程不需要逐行手动修改,效率远高于纯人工校对。\nLarge VR的幻觉本质是训练数据高度依赖YouTube预料。\n模型在静音、噪音、低质性读音频段会自动脑补出训练里最高频的YouTube互动画书,\n属于模型先天特性,并非操作故障。\n4. 关于人工修正,经过色Pyto Edit清洗以上步骤后,修改起来还是比较轻松。\n我愿称之为目前人工修正最轻松,幻觉最少的字幕软件。\n一般300行5到10分钟左右,600行10到15分钟左右,快一点的话就5分钟,看你是不是想认真改。\n关于笔记本设备,推荐3070TI笔记本,拥有5888个流处理器,是性价比最高的AI设备选择。\n转录速度比4060亿4070万5060笔记本快,而且价格也不贵。\n只要把温度控制好,就能最大程度发挥效率,节省时间。\n5.字幕的质量还算可以,精确度非常高。\n当然尽管用了双通道模式避免漏掉字幕,但或多或少还是会漏掉一点字幕,不过瑕不掩瑜。\n如果强行上保真模式最高灵敏度,首先幻觉会直线上升。\n其次是字幕人工修正更辛苦,两者直接影响后面的准确度,而且时间太漫长得不偿失。\n为了这一点漏掉的字幕而放弃最终的准确度,没必要。\n假如是一小时时评600行,Whisper这保真模式转录需要一小时20-30分钟左右,3070TI笔记本。\nAI翻译也就2-3分钟,多重替换也就10几秒。\n人工校正一般10-15分钟。\n整体上看最耗费时间的还是转录,所以可以把转录时间留给凌晨。\n一般凌晨0点转录,到早上8点,一般就能转录好5个视频。\n视频时长都是一小时左右,不影响白天玩电脑。",
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      "text": "利用Whisperger给日语电影配中文字幕的终极教程,如何让人工校正最轻松?",
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      "text": "1.下载Whisperger模式选择双通道模式。",
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      "text": "PAS1选择Fidelity模式Balance灵敏度加OutTalk能量检测加10.5分段更细,不会字幕过长。",
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      "text": "PAS2选择Balance模式Aggressive灵敏度加Colero加Colero6.2V。",
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      "text": "第一遍保证模式才是准确度的大头,准确度占比80%,",
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      "text": "第二遍只是填充的,以弥补字幕不全。",
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    {
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      "text": "所以PAS1保证模式必选精细度最高的OutTalk加10。",
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    {
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      "text": "而PAS2平衡模式准确度更低,仅仅为了填充,所以选精细度不高的Colero,保证模式更强。",
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      "text": "而且比平衡模式准确度强太多,保证模式是FP16,平衡模式是影的8。",
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      "text": "所以必选以PAS1为主,PAS2填充,这样准确度更高后期人工校正更轻松。",
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    {
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      "text": "2. 模型必选Large VR而不是Large V3。",
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    {
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      "text": "VR等于日语专精型,V3等于全球平均型,转入日语首选V2。",
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      "text": "V3做了两个大升级,梅尔平谱从80-128,日语更容易收噪音影响。",
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      "text": "词调Token扩容加了很多小语种,日语全重下降。",
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      "text": "这两个改动对日语全是浮悠化。",
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      "text": "V3更改编,日语最受不了幻觉。",
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    {
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      "text": "V3为了流畅度更容易脑补内容,日语一脑补就是语法错,禁语错,注词。",
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    {
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      "text": "错VR更保守,不乱编日语反而更稳。",
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      "text": "3. Whisper J A V尽管能把Large VR的幻觉降低,但是实测幻觉依然存在。",
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      "text": "可以使用AI翻译成中文后,用Subtitle Edit软件打开该字幕。",
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      "text": "进入多重替换,用正则表达式或者正常字符替换添加幻觉词消除。",
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      "text": "Large VR转写加AI翻译后的幻觉并非随机乱码,而是有明确的高频固定模式。",
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      "text": "多余的冗于双引号,莫名出现的人物前缀,固定同音措辞等。",
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      "text": "色Title Edit的多重替换,支持一次性导入整份规则库,也就是我提到的幻觉词表。",
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      "text": "双引号修正规则,全局批量执行,还可以反复运行二到三次彻底清理。",
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    {
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      "text": "全程不需要逐行手动修改,效率远高于纯人工校对。",
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      "text": "Large VR的幻觉本质是训练数据高度依赖YouTube预料。",
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      "text": "模型在静音、噪音、低质性读音频段会自动脑补出训练里最高频的YouTube互动画书,",
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      "text": "属于模型先天特性,并非操作故障。",
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      "text": "4. 关于人工修正,经过色Pyto Edit清洗以上步骤后,修改起来还是比较轻松。",
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      "text": "我愿称之为目前人工修正最轻松,幻觉最少的字幕软件。",
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      "text": "一般300行5到10分钟左右,600行10到15分钟左右,快一点的话就5分钟,看你是不是想认真改。",
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      "text": "关于笔记本设备,推荐3070TI笔记本,拥有5888个流处理器,是性价比最高的AI设备选择。",
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      "text": "转录速度比4060亿4070万5060笔记本快,而且价格也不贵。",
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      "text": "只要把温度控制好,就能最大程度发挥效率,节省时间。",
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      "text": "5.字幕的质量还算可以,精确度非常高。",
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      "text": "当然尽管用了双通道模式避免漏掉字幕,但或多或少还是会漏掉一点字幕,不过瑕不掩瑜。",
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    {
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      "text": "如果强行上保真模式最高灵敏度,首先幻觉会直线上升。",
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      "text": "其次是字幕人工修正更辛苦,两者直接影响后面的准确度,而且时间太漫长得不偿失。",
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      "text": "为了这一点漏掉的字幕而放弃最终的准确度,没必要。",
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      "text": "假如是一小时时评600行,Whisper这保真模式转录需要一小时20-30分钟左右,3070TI笔记本。",
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      "text": "AI翻译也就2-3分钟,多重替换也就10几秒。",
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      "text": "人工校正一般10-15分钟。",
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      "text": "整体上看最耗费时间的还是转录,所以可以把转录时间留给凌晨。",
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      "text": "视频时长都是一小时左右,不影响白天玩电脑。",
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