The I4U system in NIST 2008 speaker recognition evaluation

Haizhou Li, Bin Ma, Kong Aik Lee, Hanwu Sun, Donglai Zhu, Chai Sim Khe, Changhuai You, Rong Tong, Ismo Kärkkäinen, Chien Lin Huang, Vladimir Pervouchine, Wu Guo, Yijie Li, Lirong Dai, Mohaddeseh Nosratighods, Thiruvaran Tharmarajah, Julien Epps, Eliathamby Ambikairajah, Eng Siong Chng, Tanja SchultzQin Jin

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

29 Citations (Scopus)

Abstract

This paper describes the performance of the I4U speaker recognition system in the NIST 2008 Speaker Recognition Evaluation. The system consists of seven subsystems, each with different cepstral features and classifiers. We describe the I4U Primary system and report on its core test results as they were submitted, which were among the bestperforming submissions. The I4U effort was led by the Institute for Infocomm Research, Singapore (IIR), with contributions from the University of Science and Technology of China (USTC), the University of New South Wales, Australia (UNSW), Nanyang Technological University, Singapore (NTU) and Carnegie Mellon University, USA (CMU).

Original languageEnglish
Title of host publication2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages4201-4204
Number of pages4
DOIs
Publication statusPublished - Apr 2009
Externally publishedYes
Event2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan
Duration: 19 Apr 200924 Apr 2009

Publication series

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

Conference

Conference2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/TerritoryTaiwan
CityTaipei
Period19/04/0924/04/09

Keywords

  • Channel variability
  • Classifier
  • Speaker recognition
  • System fusion

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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