--- title: "CosyVoice vs HuChenFeng" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-olcmyk-huchenfeng" tools: ["funaudiollm-cosyvoice", "olcmyk-huchenfeng"] --- # CosyVoice vs HuChenFeng *GraphCanon updated Jul 12, 2026* ## Verdict Pick CosyVoice when license: CosyVoice is Apache-2.0, HuChenFeng is MIT; pick HuChenFeng when license: HuChenFeng is MIT, CosyVoice is Apache-2.0. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 22k GitHub stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. [HuChenFeng](https://huchenfeng.live) has 1.6k stars, 180 forks, and 23 open issues, last pushed Feb 17, 2026. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [HuChenFeng's repository](https://github.com/Olcmyk/HuChenFeng). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [HuChenFeng](/tools/olcmyk-huchenfeng.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | 收集户晨风的所有内容 | | Stars | 22,089 | 1,630 | | Forks | 2,545 | 180 | | Open issues | 767 | 23 | | Language | Python | - | | Adopt for | CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [HuChenFeng](/tools/olcmyk-huchenfeng.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 46d | 144d | | Open issues (now) | 767 | 23 | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/olcmyk-huchenfeng/trust.md) | ## Decision facts: CosyVoice - **Adopt for:** CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. ## Choose when ### Choose CosyVoice if… - License: CosyVoice is Apache-2.0, HuChenFeng is MIT. - Tags unique to CosyVoice: cantonese, audio-generation, chinese, english. - Also covers Model Training, Inference & Serving. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose HuChenFeng if… - License: HuChenFeng is MIT, CosyVoice is Apache-2.0. - Tags unique to HuChenFeng: archiving, livestream, content-analysis, internet-culture. - Leaner open-issue backlog (23). ## When NOT to use CosyVoice - If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. - When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ## When NOT to use HuChenFeng - Last GitHub push was 145 days ago (slowing maintenance, Feb 17, 2026). Validate activity before betting a new project on HuChenFeng. ## Common questions ### What is the difference between CosyVoice and HuChenFeng? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. HuChenFeng: 收集户晨风的所有内容. See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over HuChenFeng? Choose CosyVoice over HuChenFeng when License: CosyVoice is Apache-2.0, HuChenFeng is MIT; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Model Training, Inference & Serving; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose HuChenFeng over CosyVoice? Choose HuChenFeng over CosyVoice when License: HuChenFeng is MIT, CosyVoice is Apache-2.0; Tags unique to HuChenFeng: archiving, livestream, content-analysis, internet-culture; Leaner open-issue backlog (23). ### When should I avoid CosyVoice? If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ### When should I avoid HuChenFeng? Last GitHub push was 145 days ago (slowing maintenance, Feb 17, 2026). Validate activity before betting a new project on HuChenFeng. ### Is CosyVoice or HuChenFeng more popular on GitHub? CosyVoice has more GitHub stars (22,089 vs 1,630). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and HuChenFeng open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, HuChenFeng: MIT). ### Where can I find alternatives to CosyVoice or HuChenFeng? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [HuChenFeng alternatives](/tools/olcmyk-huchenfeng/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [HuChenFeng markdown twin](/tools/olcmyk-huchenfeng/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/funaudiollm-cosyvoice-vs-olcmyk-huchenfeng.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or HuChenFeng? CosyVoice: Steady. HuChenFeng: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for CosyVoice and HuChenFeng? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [HuChenFeng trust report](/tools/olcmyk-huchenfeng/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-cosyvoice`](/api/graphcanon/graph?tool=funaudiollm-cosyvoice) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_