A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices
S. Dey, Jeet Dutta · 2020
Deep Learning (DL) has been instrumental in pushing artificial intelligence (AI)/ machine learning (ML) algorithms to edge of the network. It allows building AI/ML algorithms for computer vision, speech processing, and other timeseries analytics tasks with limited domain knowledge. As there is no mechanism to control the representations learned from a large dataset, it becomes hard to predict whether a very small DL model can learn the proper dependencies needed for a particular problem at hand.