hcy71o/MB-iSTFT-VITS-with-AutoVocoder
Incorporating AutoVocoder to MB-iSTFT-VITS
This project helps create high-quality, natural-sounding synthetic speech from written text. It takes text as input and generates an audio file of someone speaking that text. This is designed for researchers and developers working on advanced text-to-speech (TTS) systems who want to improve the realism and speed of their voice synthesis models.
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Use this if you are a speech synthesis researcher or developer aiming to enhance the sound quality and inference speed of your text-to-speech models, especially those based on VITS or similar architectures.
Not ideal if you are an end-user simply looking for a ready-to-use text-to-speech application or a high-level API to generate audio.
Stars
48
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 01, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/hcy71o/MB-iSTFT-VITS-with-AutoVocoder"
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