yinruiqing/tiny-transducer

Tiny Transducer: A Highly-Efficient Speech Recognition Model on Edge Devices

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Experimental

This project offers a highly efficient way to convert spoken audio into text, directly on small devices like smartphones or embedded systems. It takes raw audio input and provides a transcription, making it useful for developers creating speech-enabled applications on resource-constrained hardware.

No commits in the last 6 months.

Use this if you are a developer building speech recognition features for edge devices and need a model that runs very efficiently.

Not ideal if you need an out-of-the-box, end-user speech-to-text application or are not comfortable working with PyTorch implementations.

edge-ai mobile-development embedded-systems speech-to-text device-optimization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 13 / 25

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Python

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Last pushed

Aug 04, 2022

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