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README.md
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This model is an implementation of VITS2, a single-stage text-to-speech system, trained on the Natasha dataset for the Russian language. VITS2 improves upon the previous VITS model by addressing issues such as unnaturalness, computational efficiency, and dependence on phoneme conversion. The model leverages adversarial learning and architecture design for enhanced quality and efficiency.
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- **Developed by:** Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, Sangjin Kim
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- **Shared by:**
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- **Model type:** Text-to-Speech
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- **Language(s) (NLP):** Russian
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- **License:** MIT
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- **Finetuned from model:**
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### Model Sources
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This model is an implementation of VITS2, a single-stage text-to-speech system, trained on the Natasha dataset for the Russian language. VITS2 improves upon the previous VITS model by addressing issues such as unnaturalness, computational efficiency, and dependence on phoneme conversion. The model leverages adversarial learning and architecture design for enhanced quality and efficiency.
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- **Developed by:** Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, Sangjin Kim
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- **Shared by:** LangSwap.app
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- **Model type:** Text-to-Speech
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- **Language(s) (NLP):** Russian
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- **License:** MIT
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- **Finetuned from model:** No
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### Model Sources
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