Niranjan Subrahmanya

Learning to Detect Keyword Parts and Whole by Smoothed Max Pooling

We propose smoothed max pooling loss and its application to keyword spotting systems. The proposed approach jointly trains an encoder (to detect keyword parts) and a decoder (to detect whole keyword) in a semi-supervised manner. The proposed new loss function allows training a model to detect parts…