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Automatic_Speech_Recognition
zzw922cn/Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
★2.8kstars
Python
MIT
Updated: 1w ago
📋 Project at a Glance
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What's this?A audio/automatic-speech-recognition tool in the Models category, built with Python, open-source
Who made it?Maintained by zzw922cn team, 2.8K⭐ on GitHub, #529 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the zzw922cn team identified the need for better audio solutions. Automatic_Speech_Recognition was created to simplify automatic-speech-recognition workflows.
What can it do?Key use cases: chinese-speech-recognition, cnn, data-preprocessing
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/zzw922cn/Automatic_Speech_Recognition
🔗 github.com/zzw922cn/Automatic_Speech_Recognition
Topics
audioautomatic-speech-recognitionchinese-speech-recognitioncnndata-preprocessingdeep-learningend-to-endevaluationfeature-vectorlayer-normalizationlstmpaperphonemesrnnrnn-encoder-decoderspeech-recognitiontensorflowtimit-dataset