Virtual fusion for speaker recognition

Yosef A. Solewicz, Moshe Koppel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a simplified post-classification framework for enhancing the performance of a given speaker recognition classifier by means of other "auxiliary" classifiers. We call it Virtual Fusion, since the assisting classifiers are used only for training the post-classifier and are not necessary in operating mode. Experiments performed using Nist'04 and '05 evaluations suggest that the proposed technique is able to consistently improve the EER of a typical GMM-cepstrum classifier by up to 15%.

Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
PublisherUnavailable
Pages921-924
Number of pages4
ISBN (Print)9781605603162
StatePublished - 2007
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: 27 Aug 200731 Aug 2007

Publication series

NameInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Volume2
ISSN (Electronic)1990-9772

Conference

Conference8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Country/TerritoryBelgium
CityAntwerp
Period27/08/0731/08/07

Keywords

  • Fusion
  • Post-classifier
  • Speaker recognition

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