ML-KWS-for-MCU - Keyword spotting on Arm Cortex-M Microcontrollers

  •        249

This repository consists of the tensorflow models and training scripts used in the paper: Hello Edge: Keyword spotting on Microcontrollers. The scripts are adapted from Tensorflow examples and some are repeated here for the sake of making these scripts self-contained. The command line argument --model_size_info is used to pass the neural network layer dimensions such as number of layers, convolution filter size/stride as a list to models.py, which builds the tensorflow graph based on the provided model architecture and layer dimensions. For more info on model_size_info for each network architecture see models.py. The training commands with all the hyperparameters to reproduce the models shown in the paper are given here.

https://github.com/ARM-software/ML-KWS-for-MCU

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