tum-ei-eda / micro-kws

Complete flow for keyword spotting on microcontrollers. From data collection to data preparation to training and deployment.

Micro KWS

Complete flow for keyword spotting on microcontrollers. From data collection to data preparation to training and deployment.

Context

This project is used as part of the lab accompanying the lecture: Embedded System Design for Machine Learning offered by EDA@TUM.

Structure of this repository

The following directories can be found at the top level of this repository:

• record/: Provides utilities for recording and preprocessing new dataset samples (Optional)
• train/: Contains MicroKWS training flow and tutorial (Lab 1)
• tvm/: Contains a tutorial for generating MicroKWS kernels for a pre-trained model using the TVM Framework (Lab 2, Part 1)
• target/: Provides target software demo for deploying the MicroKWS application to a microcontroller (Lab 2, Part 2)
• debug/: Contains a python tool to debug the target application running on the device (Lab 2, optional)