lucasnewman/e2-tts-mlx
Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in MLX
This project helps developers and researchers create custom text-to-speech (TTS) systems. It takes written text and a reference audio sample, and outputs generated speech that matches the voice from the reference. This tool is for machine learning engineers, AI researchers, and audio developers working on speech synthesis applications.
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Use this if you need to quickly train a new text-to-speech model that can adapt to different voices from short audio samples, without complex data alignment.
Not ideal if you're an end-user looking for a ready-to-use text-to-speech application; this is a development tool for building such systems.
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21
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3
Language
Python
License
MIT
Category
Last pushed
Oct 08, 2024
Commits (30d)
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