2023
Small-Footprint Slimmable Networks for Keyword Spotting
ICASSP 2023accepted
In this work, we present Slimmable Neural Networks applied to the problem of small-footprint keyword spotting. We show that slimmable neural networks allow us to create super-nets from Convolutional Neural Networks and Transformers, from which sub-networks of different sizes can be extracted. We dem…