• DocumentCode
    2178954
  • Title

    The SRI NIST 2010 speaker recognition evaluation system

  • Author

    Scheffer, Nicolas ; Ferrer, Luciana ; Graciarena, Martin ; Kajarekar, Sachin ; Shriberg, Elizabeth ; Stolcke, Andreas

  • Author_Institution
    SRI Int., Menlo Park, CA, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    5292
  • Lastpage
    5295
  • Abstract
    The SRI speaker recognition system for the 2010 NIST speaker recognition evaluation (SRE) incorporates multiple subsystems with a variety of features and modeling techniques. We describe our strategy for this year´s evaluation, from the use of speech recognition and speech segmentation to the individual system descriptions as well as the final combination. Our results show that under most conditions, the cepstral systems tend to perform the best, but that other, non-cepstral systems have the most complementarity. The combination of several subsystems with the use of adequate side information gives a 35% improvement on the standard telephone condition. We also show that a constrained cepstral system based on nasal syllables tends to be more robust to vocal effort variabilities.
  • Keywords
    speaker recognition; SRE; SRI NIST 2010 speaker recognition evaluation system; cepstral systems; speech recognition; speech segmentation; Indexes; Mixers; high-level modeling; prosody; speaker recognition; system fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947552
  • Filename
    5947552