Spectral estimation using higher-lag autocorrelation coefficients with applications to speech recognition

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Title Spectral estimation using higher-lag autocorrelation coefficients with applications to speech recognition
Author Shannon, Ben James; Paliwal, Kuldip Kumar
Publication Title The 8th International Symposium on Signal Processing and Its Applications (ISSP-2005)
Editor B. Boashash
Year Published 2005
Place of publication Woolongong, NSW, Australia
Publisher IEEE
Abstract In this paper, we introduce a noise robust spectral estimation technique for speech signals that is derived from a windowed one-sided higher-lag autocorrelation sequence. We also introduce a new high dynamic range window design method, and utilise both techniques in a modied Mel Frequency Cepstral Coefcient (MFCC) algorithm to produce noise robust speech recognition features. We call the new features Autocorrelation Mel Frequency Cepstral Coefcients (AMFCCs). We compare the recognition performance of AMFCCs to MFCCs for a range of stationary and non-stationary noises on the Aurora II database. We show that the AMFCC features perform as well as MFCCs in clean conditions and have higher noise robustness in noisy conditions.
Peer Reviewed Yes
Published Yes
Publisher URI http://ieeexplore.ieee.org/servlet/opac?punumber=10550
Alternative URI http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1581009
Copyright Statement Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0780392442
Conference name The 8th International Symposium on Signal Processing and Its Applications
Location Sydney, Australia
Date From 2005-08-28
Date To 2005-08-31
URI http://hdl.handle.net/10072/2576
Date Accessioned 2006-02-22
Date Available 2009-09-21T05:51:37Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Speech Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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