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--- |
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license: openrail |
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task_categories: |
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- conversational |
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language: |
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- aa |
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tags: |
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- music |
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size_categories: |
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- n<1K |
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pretty_name: genshin_voice_sovits |
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--- |
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# 预览[.](https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/README.md) |
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**简体中文**｜ |
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[English](https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/README_EN.md)｜ |
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[日本語](https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/README_JP.md) |
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本仓库用于预览so-vits-svc-4.0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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推荐用**谷歌浏览器**，其他浏览器可能无法正确加载预览的音频。</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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有推荐的歌想要转换听听效果,或者其他内容建议，[**点我**](https://huggingface.co/datasets/jiaheillu/audio_preview/discussions/new)发起讨论</br> |
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下面是预览音频，**上下左右滑动**可以看到全部 |
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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: 420px; |
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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>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/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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<tr> |
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<td><a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/宵宫_preview/README.md">宵宫</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">刻晴</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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<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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<tr> |
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<td><a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/blob/main/可莉_preview/README.md">可莉</a></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/可莉_preview/原_keli.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/可莉_preview/待_ying.wav" controls="controls"></audio></td> |
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<td><audio src="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/可莉_preview/已_ying2keli.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/可莉_preview/樱花草2可莉.WAV">樱花草</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/可莉_preview/夢をかなえてドラえもん2可莉.WAV">夢をかなえてドラえもん</a>, |
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<a href="https://huggingface.co/datasets/jiaheillu/sovits_audio_preview/resolve/main/可莉_preview/sun_shine2可莉.WAV">sun_shine</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/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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<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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关键参数：</br> |
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audio duration:训练集总时长</br> |
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epoch: 轮数</br> |
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其余：</br> |
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batch_size = 一个step训练的片段数<br> |
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segments = 音频被切分的片段<br> |
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step=segments*epoch/batch_size,即模型文件后面数字由来<br> |
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以散兵为例：</br> |
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损失函数图像：主要看step 与 loss5，比如：<br> |
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给一个大致的参考，待转换音频都为高音女生，这是较为刁钻的测试：如图，10min纯净人声， |
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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 |
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何，请听上方预览音频。正常训练，10min是较为不足的训练集时长。<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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