Recognize speech automatically using a toolkit designed for building speech recognition systems.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeFacebook AI Research's Automatic Speech Recognition Toolkit
wav2letter has 6.4k stars on GitHub. It has been forked 991 times. wav2letter is written mainly in C++. It has been in active development since 2017. Its main topics are cpp, deep-learning, end-to-end, speech-recognition.
Facebook AI Research's Automatic Speech Recognition Toolkit
wav2letter is an open-source project.
Yes. wav2letter is free and open source — you can use, modify and self-host it.
wav2letter is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/flashlight-wav2letter.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.