Show simple item record

dc.contributor.authorNicolson, Aaron
dc.contributor.authorHanson, Jack
dc.contributor.authorLyons, James
dc.contributor.authorPaliwal, Kuldip
dc.date.accessioned2019-02-03T23:44:43Z
dc.date.available2019-02-03T23:44:43Z
dc.date.issued2018
dc.identifier.issn2315-4535
dc.identifier.urihttp://hdl.handle.net/10072/382262
dc.description.abstractUntil now, marginalization-based Missing Feature Theory (MFT) for speech classification has been limited to the use of Log Spectral Subband Energies (LSSEs) as features. These features are highly correlated, thus suboptimal for classification with diagonal-covariance Gaussian Mixture Models (GMMs), a common classifier in marginalization-based MFT. In this paper, we propose that Spectral Subband Centroids (SSCs) are more apt for marginalization-based MFT, as they are both decorrelated and spectrally local. Our results show that SSCs as features produce a more robust marginalization-based MFT, diagonal-covariance GMM-based, Automatic Speaker Identification (ASI) system than LSSEs as features, for at all tested SNR values (with Additive White Gaussian Noise (AWGN)). It is also shown that a fully-connected Deep Neural Network (DNN) can accurately estimate the Ideal Binary Mask (IBM) used for MFT.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherInternational Journal of Signal Processing Systems
dc.publisher.urihttp://www.ijsps.com/index.php?m=content&c=index&a=show&catid=59&id=277
dc.relation.ispartofpagefrom12
dc.relation.ispartofpageto16
dc.relation.ispartofissue1
dc.relation.ispartofjournalInternational Journal of Signal Processing Systems
dc.relation.ispartofvolume6
dc.subject.fieldofresearchNatural Language Processing
dc.subject.fieldofresearchcode080107
dc.titleSpectral Subband Centroids for Robust Speaker Identification using Marginalization-based Missing Feature Theory
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyInformation Services, Information Services
gro.rights.copyright© 2018 Springer New York. This is an electronic version of an article published in Journal of Signal Processing Systems, Volume 6, No. 1, March 2018 > . Journal of Signal Processing Systems is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorPaliwal, Kuldip K.
gro.griffith.authorLyons, James
gro.griffith.authorHanson, Jack S.
gro.griffith.authorNicolson, Aaron M.


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record