zhenye234/LLaSA_training
LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis
This project helps developers train advanced text-to-speech (TTS) models, specifically LLaMA-based speech synthesizers, more efficiently. It takes large datasets of tokenized speech and text data as input, processing them to produce a trained model capable of generating high-quality, natural-sounding speech from text. This tool is designed for AI/ML engineers and researchers specializing in speech technology and natural language processing.
659 stars.
Use this if you are an AI/ML developer or researcher looking to fine-tune or train LLaMA-based speech synthesis models for robust, high-performance voice generation applications.
Not ideal if you are an end-user simply looking for a ready-to-use text-to-speech tool without deep technical involvement in model training.
Stars
659
Forks
52
Language
Python
License
—
Category
Last pushed
Jan 21, 2026
Commits (30d)
0
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