The I4U system in NIST 2008 speaker recognition evaluation

  • Authors:

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

  • Affiliations:

  • Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;Institute for Infocomm Research (IIR), Singapore;University of Science and Technology of China (USTC), China;University of Science and Technology of China (USTC), China;University of Science and Technology of China (USTC), China;The University of New South Wales (UNSW), Australia;The University of New South Wales (UNSW), Australia;The University of New South Wales (UNSW), Australia;The University of New South Wales (UNSW), Australia;Nanyang Technological University (NTU), Singapore;Carnegie Mellon University (CMU), USA;Carnegie Mellon University (CMU), USA

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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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 best-performing 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).