Comparison
CosyVoice vs Speech
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 Speech if nVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.
Markdown twin · CosyVoice alternatives · Speech alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | CosyVoice | Speech |
|---|---|---|
| Maintenance | Steady (59d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- Speech
- A scalable generative AI framework for Speech AI
Stars
- CosyVoice
- 22k
- Speech
- 18k
Forks
- CosyVoice
- 2.6k
- Speech
- 3.5k
Open issues
- CosyVoice
- 756
- Speech
- 238
Language
- CosyVoice
- Python
- Speech
- Python
Adopt for
- CosyVoice
- 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.
- Speech
- NVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.
Persona
- CosyVoice
- -
- Speech
- -
Runtime
- CosyVoice
- -
- Speech
- -
License
- CosyVoice
- Apache-2.0
- Speech
- Apache-2.0
Last pushed
- CosyVoice
- May 25, 2026
- Speech
- Aug 7, 2026
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- Speech
- Developer Tools, Model Training, Speech & Audio
Trust and health
Maintenance
- CosyVoice
- Steady (60%)
- Speech
- Very active (96%)
Days since push
- CosyVoice
- 59d
- Speech
- 0d
Open issues (now)
- CosyVoice
- 756
- Speech
- 238
Full report
- CosyVoice
- Trust report
- Speech
- Trust report
Shared compatibility
- Python · CosyVoice: Python runtime · Speech: Python runtime
Choose CosyVoice if…
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Inference & Serving.
- When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
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.
Choose Speech if…
- Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation.
- Also covers Developer Tools.
- When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.
When NOT to use Speech
- For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference.
- If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech.
- In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/CosyVoice) · observed Jul 24, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Jul 24, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- GitHub forks (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- Last push (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 22k · Speech 18k (synced Jul 24, 2026).
Common questions
- What is the difference between CosyVoice and Speech?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. Speech: A scalable generative AI framework for Speech AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over Speech?
- Choose CosyVoice over Speech when Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose Speech over CosyVoice?
- Choose Speech over CosyVoice when Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation; Also covers Developer Tools; When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.
- 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 Speech?
- For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference. If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech. In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
- Is CosyVoice or Speech more popular on GitHub?
- CosyVoice has more GitHub stars (22,373 vs 17,940). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and Speech open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, Speech: Apache-2.0).
- Where can I find alternatives to CosyVoice or Speech?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and Speech alternatives (CosyVoice markdown twin, Speech markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, CosyVoice or Speech?
- CosyVoice: Steady. Speech: Very active. 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 Speech?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; Speech trust report.