Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering

Due to the profound differences between acoustic characteristics of neutral and whispered speech, the performance of traditional automatic speech recognition (ASR) systems trained on neutral speech degrades significantly when whisper is applied. In order to deeply analyze this mismatched train/test...

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Bibliographic Details

Published in:	IEEE/ACM transactions on audio, speech, and language processing Vol. 25; no. 12; pp. 2313 - 2322
Main Authors:	Grozdic, Dorde T., Jovicic, Slobodan T.
Format:	Journal Article
Language:	English
Published:	IEEE 01.12.2017
Subjects:	Automatic speech recognition Biology Character recognition deep denoising autoencoder Encoding Inverse filtering Mel frequency cepstral coefficient Noise levels Speech recognition Teager-energy operator whispered speech recognition
ISSN:	2329-9290, 2329-9304
Online Access:	Get full text
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