LEEYOONHYUNG/BVAE-TTS
Official implementation of BVAE-TTS
This project helps generate natural-sounding speech from written text faster and more reliably than older methods. You provide text, and it quickly produces high-quality audio speech. This is ideal for content creators, developers building voice applications, or anyone needing efficient text-to-speech conversion.
173 stars. No commits in the last 6 months.
Use this if you need to convert large amounts of text into speech quickly and with high fidelity, especially for applications where speed and robustness are critical.
Not ideal if you need fine-grained control over individual speech nuances beyond what standard text-to-speech models offer.
Stars
173
Forks
33
Language
Python
License
MIT
Category
Last pushed
Sep 26, 2022
Commits (30d)
0
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