adelacvg/ttts
Train the next generation of TTS systems.
This project helps you create highly realistic, natural-sounding voiceovers and audio from written text. It takes your text and, optionally, existing speech examples, and generates high-quality audio that captures the nuanced 'details' often missing from standard text-to-speech. Voice artists, content creators, or anyone needing expressive synthetic speech will find this useful.
171 stars. No commits in the last 6 months.
Use this if you need to generate high-fidelity, expressive speech from text, especially when subtle vocal details are crucial for naturalness or zero-shot voice cloning.
Not ideal if you only need basic, functional text-to-speech without advanced detail reproduction or if you lack the technical expertise to train and fine-tune machine learning models.
Stars
171
Forks
17
Language
Python
License
MPL-2.0
Category
Last pushed
Sep 13, 2024
Commits (30d)
0
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