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mit-han-lab / tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
https://mcunet.mit.edu
MIT License
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the code of the audio demo #77

Closed lange-bleu closed 1 year ago

lange-bleu commented 1 year ago

Hi there, It's so fantastic to deploy a model on an mcu. Inspired by your paper，I wanna implement an intelligent doorlock with offline speaker verification system. However,I cannot find the demo code of KWS model mentioned in the paper.Could you please share it?

Thanks a lot

meenchen commented 1 year ago

Hi @lange-bleu,

Unfortunately, we do not have the audio demo and mainly focus on visual models, but the model architecture is basically identical. Please check our mcunet repo for more information about the models https://github.com/mit-han-lab/mcunet.

lange-bleu commented 1 year ago

ok,what a pity

thanks a lot @meenchen