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@@ -14,22 +14,62 @@ pretty_name: genshin_voice_sovits
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  本仓库用于预览训练出的各种语音模型的效果,点击角色名自动跳转对应训练参数。</br>
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  正常说话的音色转换较为准确,歌曲包含较广的音域且bgm和声等难以去除干净,效果有所折扣。</br>
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- <div style="width: 400px; height: 200px; overflow: auto;">
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- <pre>
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- | 角色名 | 角色原声A | 被转换人声B |A音色替换B|A音色翻唱(点击直接下载)|
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- | :------: | :----: | :----: | :----: |:----:|
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- | [散兵](https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/散兵效果预览/训练参数速览.md)| <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/部分训练集/真遗憾,小吉祥草王让他消除了那么多的切片,剥夺了我将他一片一片千刀万剐的快乐%E3%80%82.mp3" controls="controls"> | <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/原声/shenli3.wav" controls="controls"> | <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/转换结果/shenli3mp3_auto_liulangzhe.wav" controls="controls">|[夢で会えたら](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/转换结果/夢で逢えたら2liulangzhe_f.wav)|
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- |[胡桃](https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/胡桃_preview/README.md)| <audio style="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/%E8%83%A1%E6%A1%83_preview/hutao.wav" controls="controls"> | .........| ......... |[moonlight shadow](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/moonlight_shadow2胡桃.WAV),[云烟成雨](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/云烟成雨2胡桃.WAV),[原点](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/原点2胡桃.WAV),[夢で逢えたら](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/夢だ会えたら2胡桃.WAV),[贝加尔湖畔](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/贝加尔湖畔2胡桃.WAV) |
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- |[神里绫华](https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/绫华_preview/README.md)| <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/linghua428.wav" controls="controls"> | <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/yelan.wav" controls="controls"> | <audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/yelan.wav_auto_linghua_0.5.flac" controls="controls"> |[アムリタ](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/アムリタ2绫华.WAV),[大鱼](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/大鱼2绫华.WAV),[遊園施設](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/遊園施設2绫华.WAV),[the day you want away](https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/the_day_you_want_away2绫华.WAV)|
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-
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- <pre>
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- <div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  关键参数:
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- 音频时长:min<br>
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- epoch: 轮 <br>
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  其余:
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  batch_size = 一个step训练的片段数<br>
@@ -42,5 +82,5 @@ step=segments*epoch/batch_size,即模型文件后面数字由来<br>
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  差不多2800epoch(10000step)就已经出结果了,实际使用的是5571epoch(19500step)的文件,被训练音色和原音色相差几<br>
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  何,差不多有个概念。当然即使loss也不足以参考,唯一的衡量标准就是当事人的耳朵。当然,正常训练,10min还是有些少的。<br>
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- 相关文件全部在“散兵效果预览”文件夹中<br>
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  ![sanbing_loss](./散兵效果预览/%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E9%80%9F%E8%A7%88.assets/sanbing_loss.png)
 
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  本仓库用于预览训练出的各种语音模型的效果,点击角色名自动跳转对应训练参数。</br>
16
  正常说话的音色转换较为准确,歌曲包含较广的音域且bgm和声等难以去除干净,效果有所折扣。</br>
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+
 
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+ <div style="width: 800px; height: 300px; overflow: auto;">
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+ <table border="1" style="white-space: nowrap; text-align: center;">
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+ <thead>
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+ <tr>
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+ <th>角色名</th>
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+ <th>角色原声A</th>
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+ <th>被转换人声B</th>
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+ <th>A音色替换B</th>
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+ <th>A音色翻唱(点击直接下载)</th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <td><a href="https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/散兵效果预览/训练参数速览.md">散兵</a></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/部分训练集/真遗憾,小吉祥草王让他消除了那么多的切片,剥夺了我将他一片一片千刀万剐的快乐%E3%80%82.mp3" controls="controls"></audio></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/原声/shenli3.wav" controls="controls"></audio></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/转换结果/shenli3mp3_auto_liulangzhe.wav" controls="controls"></audio></td>
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+ <td><a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/散兵效果预览/转换结果/夢で逢えたら2liulangzhe_f.wav">夢で会えたら</a></td>
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+ </tr>
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+ <tr>
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+ <td><a href="https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/胡桃_preview/README.md">胡桃</a></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/%E8%83%A1%E6%A1%83_preview/hutao.wav" controls="controls"></audio></td>
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+ <td>.........</td>
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+ <td>.........</td>
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+ <td>
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/moonlight_shadow2胡桃.WAV">moonlight shadow</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/云烟成雨2胡桃.WAV">云烟成雨</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/原点2胡桃.WAV">原点</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/夢だ会えたら2胡桃.WAV">夢で逢えたら</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/胡桃_preview/贝加尔湖畔2胡桃.WAV">贝加尔湖畔</a>
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+ </td>
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+ </tr>
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+ <tr>
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+ <td><a href="https://huggingface.co/datasets/jiaheillu/audio_preview/blob/main/绫华_preview/README.md">神里绫华</a></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/linghua428.wav" controls="controls"></audio></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/yelan.wav" controls="controls"></audio></td>
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+ <td><audio src="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/yelan.wav_auto_linghua_0.5.flac" controls="controls"></audio></td>
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+ <td>
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/アムリタ2绫华.WAV">アムリタ</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/大鱼2绫华.WAV">大鱼</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/遊園施設2绫华.WAV">遊園施設</a>,
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+ <a href="https://huggingface.co/datasets/jiaheillu/audio_preview/resolve/main/绫华_preview/the_day_you_want_away2绫华.WAV">the day you want away</a>
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+ </td>
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+ </tr>
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+ </tbody>
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+ </table>
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+ </div>
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+
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+
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  关键参数:
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+ audio duration:训练集总时长
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+ epoch: 轮数
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  其余:
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  batch_size = 一个step训练的片段数<br>
 
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  差不多2800epoch(10000step)就已经出结果了,实际使用的是5571epoch(19500step)的文件,被训练音色和原音色相差几<br>
83
  何,差不多有个概念。当然即使loss也不足以参考,唯一的衡量标准就是当事人的耳朵。当然,正常训练,10min还是有些少的。<br>
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+ [点我查看相关文件](https://huggingface.co/datasets/jiaheillu/audio_preview/tree/main)<br>
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  ![sanbing_loss](./散兵效果预览/%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E9%80%9F%E8%A7%88.assets/sanbing_loss.png)