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@@ -13,6 +13,8 @@ This allows for much faster and scalable TTS models compared to othern modern co
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  3. Over 40x faster then most diffusion based codecs allowing for **much** simpler and larger scale TTS models where codecs are not the bottleneck.
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  4. Decodes audio into 44.1khz which is much higher quality then the common 24khz or 16khz sampling rate.
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  This is still W.I.P, it has only seen a few hundred hours of training data but surprisingly good quality. It will still need some more training.
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  Thanks very much to the authors of FocalCodec and Anime-XCodec2.
 
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  3. Over 40x faster then most diffusion based codecs allowing for **much** simpler and larger scale TTS models where codecs are not the bottleneck.
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  4. Decodes audio into 44.1khz which is much higher quality then the common 24khz or 16khz sampling rate.
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+ Repo: https://github.com/ysharma3501/LayaCodec
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  This is still W.I.P, it has only seen a few hundred hours of training data but surprisingly good quality. It will still need some more training.
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  Thanks very much to the authors of FocalCodec and Anime-XCodec2.