University of Hertfordshire

By the same authors

Documents

  • 04751310

    Final published version, 567 KB, PDF-document

View graph of relations
Original languageEnglish
Pages254-258
DOIs
Publication statusPublished - 16 Oct 2008
Event42nd Annual IEEE International Carnahan Conference on Security Technology - Prague, Czech Republic
Duration: 13 Oct 200816 Oct 2008
Conference number: 42nd

Conference

Conference42nd Annual IEEE International Carnahan Conference on Security Technology
CountryCzech Republic
CityPrague
Period13/10/0816/10/08

Abstract

This paper presents investigations into an effective bilateral scoring method in open-set speaker identification. The approach is based on the fact that two different speakers usually are not reciprocal. A difficulty in deploying bilateral scoring is that test utterances are normally much shorter than training utterances. To tackle this problem, the proposed approach provides the final identification score based on a weighted combination of independently normalised forward and reverse scores. Based on the experimental results obtained using clean and telephone quality speech, it is shown that the proposed approach is more effective than the conventional scoring methods in open-set speaker identification.

Notes

“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright 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.” DOI: 10.1109/CCST.2008.4751310

ID: 12158712