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Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting.

ICASSP, pp.5489-5493, (2018)

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Abstract

This paper presents a novel deep neural network (DNN) architecture with highway blocks (HWs) using a complex discrete Fourier transform (DFT) feature for keyword spotting. In our previous work, we showed that the feed-forward DNN with a time-delayed bottleneck layer (TDB-DNN) directly trained from the audio input outperformed the model wi...More

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Author
Ken'ichi Kumatani
Ken'ichi Kumatani
Anirudh Raju
Anirudh Raju
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