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dc.contributor.convenorSoon Hyob Kim and Dae Hee Younen_AU
dc.contributor.authorShannon, Benen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorSoon Hyob Kim and Dae Hee Younen_US
dc.date.accessioned2017-05-03T13:01:01Z
dc.date.available2017-05-03T13:01:01Z
dc.date.issued2004en_US
dc.date.modified2009-09-21T05:49:16Z
dc.identifier.urihttp://hdl.handle.net/10072/2122
dc.description.abstractProcessing of the speech signal in the autocorrelation domain in the context of robust feature extraction is based on the following two properties: 1) pole preserving property (the poles of a given (original) signal are preserved in its autocorrelation function), and 2) noise separation property (the autocorrelation function of a noise signal is confined to lower lags, while the speech signal contribution is spread over all the lags in the autocorrelation function, thus providing a way to eliminate noise by discarding lower-lag autocorrelation coefficients). In this paper, we use these properties to derive robust features for automatic speech recognition. We compute the magnitude spectrum of the one-sided higher-lag autocorrelation sequence, process it through a Mel filter bank and parameterise it in terms of Mel Frequency Cepstral Coefficients (MFCCs). Since the proposed method combines autocorrelation domain processing with Mel filter bank analysis, we call the resulting MFCCs, Autocorrelation Mel Frequency Cepstral Coefficients (AMFCCs). Recognition experiments are conducted on the Aurora II database and it is found that the AMFCC representation performs as well as the MFCC representation in clean conditions and provides more robust performance in the presence of background noise.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSunjin Printing Co.en_US
dc.publisher.placeKoreaen_US
dc.publisher.urihttp://www.isca-speech.org/archive/interspeech_2004/i04_0129.htmlen_US
dc.relation.ispartof0en_AU
dc.relation.ispartofconferencename8th International Conference on Spoken Language Processingen_US
dc.relation.ispartofconferencetitleInterspeech 2004 (ICSLP)en_US
dc.relation.ispartofdatefrom2004-10-04en_US
dc.relation.ispartofdateto2004-10-08en_US
dc.relation.ispartoflocationJeju Island, Koreaen_US
dc.subject.fieldofresearchcode280206en_US
dc.titleMFCC computation from magnitude spectrum of higher lag autocorrelation coefficients for robust speech recognitionen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2004
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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