FENRlR/MB-iSTFT-VITS2

Application of MB-iSTFT-VITS components to vits2_pytorch

52
/ 100
Established

This project helps you create custom text-to-speech (TTS) voices. You provide audio recordings and corresponding text transcripts, and it generates a model that can convert new text into natural-sounding speech in that voice. It's designed for speech synthesis researchers and engineers who want to build high-quality, potentially state-of-the-art TTS systems.

134 stars.

Use this if you need to train a custom text-to-speech model from your own audio datasets for research or application development, especially if you are working with languages like Russian.

Not ideal if you need a pre-trained, ready-to-use voice without the need for custom model training, or if you lack a high-quality dataset of audio and text for your target voice.

speech-synthesis voice-generation text-to-speech AI-audio voice-cloning-research
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

134

Forks

31

Language

Python

License

MIT

Last pushed

Dec 29, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/FENRlR/MB-iSTFT-VITS2"

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