Speech, vision & media
Coqui TTS
A maintained continuation of Coqui's synthesis toolkit with training, inference and dataset utilities.
Overview
Research summary
Coqui TTS provides neural text-to-speech implementations, pretrained inference interfaces and tools for training or adapting speech models. This entry tracks the maintained Idiap fork distributed as coqui-tts, rather than treating the original repository as the current upstream. Developers can use Python, command-line synthesis and server functionality, while dataset utilities support preparation and analysis for training.
Voice conversion and multilingual synthesis depend on the chosen model. The toolkit source uses MPL-2.0; pretrained models, including particular voice-cloning models, may use different terms. Those model-specific conditions are separate from the library license.
Repository summary
- Stars
- 2,334
- Open issues
- Unavailable
- Last push
- 2026-06-10
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Coqui TTS.
Implementation details
Python speech synthesis toolkit built on PyTorch
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 2,334
- Open issues
- Unavailable
- Last push
- 2026-06-10
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://coqui-tts.readthedocs.io Project page · Documentation
- https://github.com/idiap/coqui-ai-TTS Linked repository · Research reference
- https://github.com/idiap/coqui-ai-TTS/blob/dev/README.md Research reference
- https://github.com/idiap/coqui-ai-TTS/blob/dev/LICENSE.txt Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06