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CosyVoice - AI Audio Models Tool

Overview

CosyVoice is an open-source, multi-lingual large voice generation project that aims to deliver high-fidelity text-to-speech and voice synthesis capabilities together with end-to-end tooling for model development and deployment. According to the GitHub repository (https://github.com/FunAudioLLM/CosyVoice), the project focuses on providing a full-stack solution: model definitions and weights, training pipelines, inference code, and deployment examples so researchers and engineers can train, evaluate, and serve large voice models. The repository is positioned for users who need production-ready voice synthesis workflows as well as researchers who want to experiment with large-scale voice models. CosyVoice emphasizes multi-lingual generation and high audio quality while exposing standard components for fine-tuning, dataset preparation, and inference integration. Exact model sizes, supported languages, and benchmark numbers are not specified in the repository description; please consult the project README and model docs on the GitHub page for up-to-date technical details and recent release notes.

Key Features

  • Multi-lingual voice generation supporting multiple languages and accents (see repo for supported languages).
  • Full-stack pipeline including training scripts, inference utilities, and deployment examples for production use.
  • High-fidelity synthesis objective, designed for naturalness and intelligibility in generated audio.
  • Open-source codebase with model definitions and configuration files hosted on GitHub for reproducibility.
  • Extensible training and fine-tuning hooks to adapt models to new speakers or domains.

Community

CosyVoice is hosted on GitHub (https://github.com/FunAudioLLM/CosyVoice). The repository is the primary place for code, issues, pull requests, and release notes; interested users should consult the issue tracker and discussion threads for community feedback, contribution guidelines, and ongoing development updates. Specific community activity metrics (stars, forks, contributors) and user reviews should be checked directly on the project page for the latest status.

Last Refreshed: 2026-01-09

Key Information

  • Category: Audio Models
  • Type: AI Audio Models Tool
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