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Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling

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IEEE ICASSP 2020 Virtual Conference May 2020

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 func

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Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling

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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 func