Publication:
Evaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SRE

dc.contributor.author Nosratighods, M en_US
dc.contributor.author Thiruvaran, T en_US
dc.contributor.author Epps, J en_US
dc.contributor.author Ambikairajah, E en_US
dc.contributor.author Ma, B. en_US
dc.contributor.author Li, H. en_US
dc.date.accessioned 2021-11-25T14:05:25Z
dc.date.available 2021-11-25T14:05:25Z
dc.date.issued 2009 en_US
dc.description.abstract In this paper, the fusion of two speaker recognition subsystems, one based on Frequency Modulation (FM) and another on MFCC features, is reported. The motivation for their fusion was to improve the recognition accuracy across different types of channel variations, since the two features are believed to contain complementary information. It was found that the MFCC-based subsystem outperformed the FM-based subsystem on telephone conversations from NIST SRE-06 dataset, while the opposite was true for NIST SRE-08 telephone data. As a result, the FM-based subsystem performed as well as the MFCC-based subsystem and their fusion gave up to 23% relative improvement in terms of EER over the MFCC subsystem alone, when evaluated on the NIST 2008 core condition. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/41992
dc.language English
dc.language.iso EN en_US
dc.publisher IEEE en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Evaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SRE en_US
dc.type Conference Paper en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.publisherStatement ©2009 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. en_US
unsw.identifier.doiPublisher http://dx.doi.org/10.1109/ICASSP.2009.4960563 en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofconferenceLocation Taiwan en_US
unsw.relation.ispartofconferenceName 2009 IEEE International Conference on Acoustic, Speech, and Signal Processing en_US
unsw.relation.ispartofconferenceProceedingsTitle 2009 IEEE International Conference on Acoustic, Speech, and Signal Processing en_US
unsw.relation.ispartofconferenceYear 2009 en_US
unsw.relation.ispartofpagefrompageto 4233-4236 en_US
unsw.relation.originalPublicationAffiliation Nosratighods, M, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Thiruvaran, T, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Epps, J, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Ambikairajah, E, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Ma, B. en_US
unsw.relation.originalPublicationAffiliation Li, H. en_US
unsw.relation.school School of Electrical Engineering and Telecommunications *
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