--- title: "CosyVoice vs EmotiVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-netease-youdao-emotivoice" tools: ["funaudiollm-cosyvoice", "netease-youdao-emotivoice"] --- # CosyVoice vs EmotiVoice *GraphCanon updated Aug 23, 2026* ## Verdict Pick CosyVoice if 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; pick EmotiVoice if emotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 23k GitHub stars, 2.6k forks, and 719 open issues, last pushed May 25, 2026. [EmotiVoice](https://github.com/netease-youdao/EmotiVoice) has 8.5k stars, 754 forks, and 137 open issues, last pushed Aug 13, 2024. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [EmotiVoice's repository](https://github.com/netease-youdao/EmotiVoice). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | A Multi-Voice and Prompt-Controlled TTS Engine | | Stars | 22,870 | 8,501 | | Forks | 2,631 | 754 | | Open issues | 719 | 137 | | Language | Python | 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. | EmotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 89d | 714d | | Open issues (now) | 719 | 137 | | Stars delta | +497 (30d) | Unknown | | Open issues delta | -37 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/netease-youdao-emotivoice/trust.md) | ## Shared compatibility - **Python**: [CosyVoice](/tools/funaudiollm-cosyvoice.md) - Python runtime; [EmotiVoice](/tools/netease-youdao-emotivoice.md) - Python runtime ## 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. ## Decision facts: EmotiVoice - **Adopt for:** EmotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles. ## Choose when ### Choose CosyVoice if… - Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt. - Also covers Inference & Serving, Model Training. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose EmotiVoice if… - Tags unique to EmotiVoice: ai, deep-learning, emotion, multispeaker. - EmotiVoice ships Docker support for self-hosted deployment. - When you need a TTS solution capable of handling multiple speaker voices in a single project ## 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 EmotiVoice - For setups without access to an NVidia GPU, as EmotiVoice requires one for running its Docker image - When deploying applications that have strict latency requirements and cannot accommodate the startup time of a Docker container or the processing demands of GPU computations ## Common questions ### What is the difference between CosyVoice and EmotiVoice? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. EmotiVoice: A Multi-Voice and Prompt-Controlled TTS Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over EmotiVoice? Choose CosyVoice over EmotiVoice when Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Model Training; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose EmotiVoice over CosyVoice? Choose EmotiVoice over CosyVoice when Tags unique to EmotiVoice: ai, deep-learning, emotion, multispeaker; EmotiVoice ships Docker support for self-hosted deployment; When you need a TTS solution capable of handling multiple speaker voices in a single project. ### 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 EmotiVoice? For setups without access to an NVidia GPU, as EmotiVoice requires one for running its Docker image When deploying applications that have strict latency requirements and cannot accommodate the startup time of a Docker container or the processing demands of GPU computations ### Is CosyVoice or EmotiVoice more popular on GitHub? CosyVoice has more GitHub stars (22,870 vs 8,501). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and EmotiVoice open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, EmotiVoice: Apache-2.0). ### Where can I find alternatives to CosyVoice or EmotiVoice? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [EmotiVoice alternatives](/tools/netease-youdao-emotivoice/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [EmotiVoice markdown twin](/tools/netease-youdao-emotivoice/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-netease-youdao-emotivoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or EmotiVoice? CosyVoice: Steady. EmotiVoice: Dormant. 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 EmotiVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [EmotiVoice trust report](/tools/netease-youdao-emotivoice/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/_