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# Preview |
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[简体中文](https://huggingface.co/datasets/jiaheillu/sovits_audio_preview)｜ |
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**English**｜ |
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[日本語](https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/README_JP.md) |
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This repository is used to preview the effects of various speech models trained by so-vits-svc-4.0. |
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**Click on the character name** to automatically jump to the corresponding training parameters.</br> |
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I recommend using **Google Chrome** as other browsers may not load the previewed audio correctly.</br> |
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The conversion of normal speaking voices is relatively accurate, but songs with a wide range of sounds |
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and background music and other noises that are difficult to remove may result in a unstable effect.</br> |
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If you have recommended songs that you would like to try converting and listening to or any other suggestions, |
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[**click here**](https://huggingface.co/datasets/jiaheillu/audio_preview/discussions/new) to give me advice.</br> |
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Below are preview audios. **Scroll up, down, left, and right** to see them all. |
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<style> |
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.scrolling-container { |
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width: 100%; |
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max-width: 1600px; |
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height: 300px; |
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overflow: auto; |
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margin: 0; |
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} |
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@media screen and (max-width: 768px) { |
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.scrolling-container { |
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width: 100%; |
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height: auto; |
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overflow: auto; |
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} |
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} |
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</style> |
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<div class="scrolling-container"> |
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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>Character Name</th> |
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<th>Original Voice A</th> |
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<th>Converted Voice B</th> |
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<th>A Voice Replaced by B</th> |
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<th>Song Cover (Click to Download)</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">Wanderer</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">HuTao</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">Kamisato Ayaka</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/sovits_audio_preview/resolve/main/绫华_preview/yelan.wav_auto_linghua_0.5.wav" 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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<td><a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/宵宫_preview/README.md">yoimiya</a></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/xiaogong.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/hutao2.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/hutao2wav_0key_xiaogong_0.5-2.wav" controls="controls"></audio></td> |
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<td> |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/昨夜书2宵宫.WAV">昨夜书</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/lemon2宵宫.WAV">lemon</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/宵宫_preview/my_heart_will_go_no2宵宫.WAV">my heart will go on</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/sovits_audio_preview/blob/main/刻晴_preview/README.md">Keqing</a></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/原_keqing2.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/待_xiaogong3.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/已_xiaogong2keqing.wav" controls="controls"></audio></td> |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/嚣张2刻晴.WAV">嚣张</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/ファティマ2刻晴.WAV">ファティマ</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/刻晴_preview/hero2刻晴.WAV">hero</a>, |
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</td> |
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</tr> |
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<td><a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/imallryt_preview/README.md">imallryt</a></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/imallryt_preview/%E5%8E%9F_IVOL_1%20Care_DRY_120_Am_Main_Vocal.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/imallryt_preview/%E5%BE%85_Lead_A%20minor_DRY.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/imallryt_preview/%E5%B7%B2_Lead_A%20minor_DRYwav_0key_imallryt_0.5.wav" controls="controls"></audio></td> |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/imallryt_preview/海阔天空2imallryt.WAV">海阔天空</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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Key Parameters:</br> |
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audio duration: total duration of the training dataset </br> |
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epoch: number of rounds of training</br> |
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Others: </br> |
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batch_size = number of audio segments trained in one step </br> |
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segments = the number of segments that the audio is split into ,step = segments * epoch / batch_size, which is where the numbers in the model file name come from</br> |
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Using the example of "Wanderer" (a character name):</br> |
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Loss Function Graph: pay attention to step and loss5, for example:<br> |
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As a difficult test, all the original audios are high-pitched female voices, and this graph |
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shows the result of training on a 10-minute pure voice audio. The model achieved good performance at around |
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2800 epochs (10,000 steps), and the actual model used was trained for 5571 epochs (19,500 steps), with |
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slight differences between the trained voice and the original voice. Please refer to the preview audio above. |
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In general, 10 minutes is not enough for a sufficient training dataset.</br> |
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[Click here to view related files](https://huggingface.co/datasets/jiaheillu/audio_preview/tree/main)<br> |
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