• DocumentCode
    2182826
  • Title

    Including human expertise in speaker recognition systems: report on a pilot evaluation

  • Author

    Greenberg, Craig S. ; Martin, Alvin F. ; Doddington, George R. ; Godfrey, John J.

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    5896
  • Lastpage
    5899
  • Abstract
    The 2010 NIST Speaker Recognition Evaluation (SRE10) included a test of Human Assisted Speaker Recognition (HASR) in which systems based in whole or in part on human expertise were evaluated on limited sets of trials. Participation in HASR was optional, and sites could participate in it without participating in the main evaluation of fully automatic systems. Two HASR trial sets were offered, with HASR1 including 15 trials, and HASR2 a superset of 150 trials. Results were submitted for 20 systems from 15 sites from 6 countries. The trial sets were carefully selected, by a process that combined automatic processing and human listening, to include particularly challenging trials. The performance results suggest that the chosen trials were indeed difficult, and the HASR systems did not appear to perform as well as the best fully automatic systems on these trials.
  • Keywords
    speaker recognition; HASR; SRE10; automatic processing; automatic system; human assisted speaker recognition; human expertise; human listening; Audio recording; Error analysis; Forensics; Humans; Interviews; NIST; Speaker recognition; HASR; NIST SREs; speaker detection; speaker recognition; voice comparison;
  • 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.2011.5947703
  • Filename
    5947703