Correlation distance skip connection denoising autoencoder (CDSK-DAE) for speech feature enhancement

Performance of learning based Automatic Speech Recognition (ASR) is susceptible to noise, especially when it is introduced in the testing data while not presented in the training data. This work focuses on a feature enhancement for noise robust end-to-end ASR system by introducing a novel variant of...

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Vydané v:	Applied acoustics Ročník 163; s. 107213
Hlavní autori:	Badi, Alzahra, Park, Sangwook, Han, David K., Ko, Hanseok
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2020
Predmet:	Automatic speech recognition (ASR) Correlation distance measure (CDM) Skip connection Denoising Autoencoder (SK-DAE) Automatic speech recognition (ASR) Skip connection Denoising Autoencoder (SK-DAE) Correlation distance measure (CDM)
ISSN:	0003-682X, 1872-910X
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