W
wenet
wenet-e2e/wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
★5.2kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A asr/automatic-speech-recognition tool in the Models category, built with Python, open-source
Who made it?Maintained by wenet-e2e team, 5.2K⭐ on GitHub, #283 out of 3201 in Models
Why does it exist?The wenet-e2e team recognized that existing asr tools in Models were hard to use. wenet was designed to make automatic-speech-recognition more accessible.
What can it do?Key use cases: conformer, e2e-models, production-ready
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/wenet-e2e/wenet | 官网 https://wenet-e2e.github.io/wenet/
🔗 github.com/wenet-e2e/wenet | 官网 https://wenet-e2e.github.io/wenet/
Topics
asrautomatic-speech-recognitionconformere2e-modelsproduction-readypytorchspeech-recognitiontransformerwhisper