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Pendrokar
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xvapitch

Text-to-Speech
emotion
audio
speech-to-speech
voice conversion
tts
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  pipeline_tag: text-to-speech
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- GitHub project: https://github.com/DanRuta/xVA-Synth
 
 
 
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  The base model for training other [🤗 xVASynth's](https://huggingface.co/spaces/Pendrokar/xVASynth-TTS) "xVAPitch" type models (v3). Model itself is used by the xVATrainer TTS model training app and not for inference. All created by Dan ["@dr00392"](https://huggingface.co/dr00392) Ruta.
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  There are hundreds of fine-tuned models on the web. But most of them use non-permissive datasets.
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  Papers:
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  - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech - https://arxiv.org/abs/2106.06103
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  - YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone - https://arxiv.org/abs/2112.02418
 
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  pipeline_tag: text-to-speech
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+ GitHub project, inference Windows/Electron app: https://github.com/DanRuta/xVA-Synth
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+ Fine-tuning app: https://github.com/DanRuta/xva-trainer
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  The base model for training other [🤗 xVASynth's](https://huggingface.co/spaces/Pendrokar/xVASynth-TTS) "xVAPitch" type models (v3). Model itself is used by the xVATrainer TTS model training app and not for inference. All created by Dan ["@dr00392"](https://huggingface.co/dr00392) Ruta.
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  There are hundreds of fine-tuned models on the web. But most of them use non-permissive datasets.
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+ ## xVASynth Editor v3 walkthrough video ▶:
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+ [![Video](https://img.youtube.com/vi/5u4xpI-cAd8/hqdefault.jpg)](https://www.youtube.com/watch?v=5u4xpI-cAd8)
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+ ## xVATrainer v1 walkthrough video ▶:
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+ [![Video](https://img.youtube.com/vi/PXv_SeTWk2M/hqdefault.jpg)](https://www.youtube.com/watch?v=PXv_SeTWk2M)
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  Papers:
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  - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech - https://arxiv.org/abs/2106.06103
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  - YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone - https://arxiv.org/abs/2112.02418