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README.md
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@@ -69,7 +69,7 @@ Vokan captures a wide range of vocal characteristics, contributing to its remark
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Although the amount of training data is less than the original, the inclusion of a broad array of accents and speakers enriches the model's vector space.
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Vokan's training required significant computational resources, including 300 hours on 1x H100 and an additional 600 hours on 1x 3090 hardware configuration.
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You can read more about it on our article on [DagsHub!](dagshub.com/blog/styletts2/)
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Although the amount of training data is less than the original, the inclusion of a broad array of accents and speakers enriches the model's vector space.
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Vokan's training required significant computational resources, including 300 hours on 1x H100 and an additional 600 hours on 1x 3090 hardware configuration.
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You can read more about it on our article on [DagsHub!](https://dagshub.com/blog/styletts2/)
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