jaywalnut310/vitsGitHub
calls StyleTTS2 “choose for style-controlled human-level TTS, at higher inference cost.”
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
7.9kPythondormant
StyleTTS2 is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named StyleTTS2 among their alternatives. The relationship is not symmetric — how StyleTTS2 rates them is a separate judgement, made when StyleTTS2 is analysed in its own right.
calls StyleTTS2 “choose for style-controlled human-level TTS, at higher inference cost.”
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech