Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition

Loweimi, E., Barker, J. and Hain, T. orcid.org/0000-0003-0939-3464 (2016) Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Interspeech 2016, 8-12 Sep 2016, San Fransisco. , pp. 3798-3802.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 ISCA Reproduced in accordance with the publisher's self-archiving policy.
Keywords: robust speech recognition; feature extraction; noise compensation; Vector Taylor Series; power transformation
Dates:
  • Published: 9 September 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 16 Nov 2016 10:17
Last Modified: 16 Nov 2016 10:17
Published Version: http://doi.org/10.21437/Interspeech.2016
Status: Published
Refereed: Yes

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