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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Bibliographic Details

Published in:	Applied acoustics Vol. 163; p. 107213
Main Authors:	Badi, Alzahra, Park, Sangwook, Han, David K., Ko, Hanseok
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2020
Subjects:	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
Online Access:	Get full text
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