FunAudioLLM/Fun-CosyVoice3-0.5B-2512 已完整同步
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👉🏻 CosyVoice 👈🏻
Fun-CosyVoice 3.0: Demos; Paper; Modelscope; Huggingface; CV3-Eval
CosyVoice 2.0: Demos; Paper; Modelscope; HuggingFace
CosyVoice 1.0: Demos; Paper; Modelscope; HuggingFace
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Fun-CosyVoice 3.0 is an advanced text-to-speech (TTS) system based on large language models (LLM), surpassing its predecessor (CosyVoice 2.0) in content consistency, speaker similarity, and prosody naturalness. It is designed for zero-shot multilingual speech synthesis in the wild.
Key Features
- Language Coverage: Covers 9 common languages (Chinese, English, Japanese, Korean, German, Spanish, French, Italian, Russian), 18+ Chinese dialects/accents (Guangdong, Minnan, Sichuan, Dongbei, Shan3xi, Shan1xi, Shanghai, Tianjin, Shandong, Ningxia, Gansu, etc.) and meanwhile supports both multi-lingual/cross-lingual zero-shot voice cloning.
- Content Consistency & Naturalness: Achieves state-of-the-art performance in content consistency, speaker similarity, and prosody naturalness.
- Pronunciation Inpainting: Supports pronunciation inpainting of Chinese Pinyin and English CMU phonemes, providing more controllability and thus suitable for production use.
- Text Normalization: Supports reading of numbers, special symbols and various text formats without a traditional frontend module.
- Bi-Streaming: Support both text-in streaming and audio-out streaming, and achieves latency as low as 150ms while maintaining high-quality audio output.
- Instruct Support: Supports various instructions such as languages, dialects, emotions, speed, volume, etc.
Roadmap
-
2025/12
- release Fun-CosyVoice3-0.5B-2512 base model, rl model and its training/inference script
- release Fun-CosyVoice3-0.5B modelscope gradio space
-
2025/08
- Thanks to the contribution from NVIDIA Yuekai Zhang, add triton trtllm runtime support and cosyvoice2 grpo training support
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2025/07
- release Fun-CosyVoice 3.0 eval set
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2025/05
- add CosyVoice2-0.5B vllm support
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2024/12
- 25hz CosyVoice2-0.5B released
-
2024/09
- 25hz CosyVoice-300M base model
- 25hz CosyVoice-300M voice conversion function
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2024/08
- Repetition Aware Sampling(RAS) inference for llm stability
- Streaming inference mode support, including kv cache and sdpa for rtf optimization
-
2024/07
- Flow matching training support
- WeTextProcessing support when ttsfrd is not available
- Fastapi server and client
Evaluation
| Model | Open-Source | Model Size | test-zh CER (%) ↓ |
test-zh Speaker Similarity (%) ↑ |
test-en WER (%) ↓ |
test-en Speaker Similarity (%) ↑ |
test-hard CER (%) ↓ |
test-hard Speaker Similarity (%) ↑ |
|---|---|---|---|---|---|---|---|---|
| Human | - | - | 1.26 | 75.5 | 2.14 | 73.4 | - | - |
| Seed-TTS | ❌ | - | 1.12 | 79.6 | 2.25 | 76.2 | 7.59 | 77.6 |
| MiniMax-Speech | ❌ | - | 0.83 | 78.3 | 1.65 | 69.2 | - | - |
| F5-TTS | ✅ | 0.3B | 1.52 | 74.1 | 2.00 | 64.7 | 8.67 | 71.3 |
| Spark TTS |
20 个文件
浏览文件数据集版权信息
本数据集的许可证为 Apache License 2.0。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
通过 WeHub CLI 下载当前数据集快照。下列命令会固定为当前页面展示的数据版本(如果页面提供版本)。文件字节由本机直连存储下载,浏览器不会签发或保存下载链接。
前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd --overwrite
仅包含匹配路径
wehub datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd --exclude "*.md"
提高并发下载数
wehub datasets download ds_ext_4096_54248618dd --revision 29e01c4e8d000f4bcd70751be16fa94bf3d85a18 --output ./ds_ext_4096_54248618dd --jobs 8
完整帮助:wehub datasets download --help