Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting
ICASSP, pp. 5489-5493, 2018.
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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