#36 · Primary category: Speech & Audio

wav2letter

cpp deep-learning end-to-end speech-recognition wav2letter

Facebook AI Research's Automatic Speech Recognition Toolkit

Project last updated:08/28/26

GitHub Stars

6.4K

Forks

988

Contributors

52

License

Other

Why we included this project

wav2letter is the automatic speech recognition toolkit that Facebook AI Research built for training and running end-to-end models that go straight from raw audio to text. The repo ships reproducible recipes tied to published papers, including streaming convolutional networks, lexicon-free decoding, and semi-supervised self-training, plus pre-trained models you can start from. The catch is that development has moved into the Flashlight project, so this repository is best treated as a reference for proven recipes and results rather than a codebase you build on going forward. For researchers and engineers who want to reproduce published ASR results or see how a production-grade end-to-end system is put together, that reference value is exactly what matters.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category