Anti-model KL-SVM-NAP system for NIST SRE 2012 evaluation

Hanwu Sun, Kong Aik Lee, Bin Ma

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

This paper presents an anti-model based speaker recognition system for NIST SRE 2012 evaluation, which is one of subsystems in IIR SRE12 submission. We apply the anti-model approach for the SRE12 evaluation. The KL-SVM-NAP based speaker recognition system is adopted to evaluate the performance. We present detailed comparison study of the classical KL-SVM-NAP based speaker recognition system and anti-model based KL-SVM-NAP system for NIST 2012 speaker recognition evaluation. The results are reported on in-house pre-SRE12 development set and NIST SRE12 core task. The clear advantages of the anti-model approach over that the traditional KL-SVM-NAP approach are presented and discussed.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages7688-7692
Number of pages5
DOIs
Publication statusPublished - 18 Oct 2013
Externally publishedYes
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • anti-model
  • Nuisance Attribute Projection
  • speaker recognition

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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