• DocumentCode
    1097151
  • Title

    NIST Speaker Recognition Evaluations Utilizing the Mixer Corpora—2004, 2005, 2006

  • Author

    Przybocki, Mark A. ; Martin, Alvin F. ; Le, Audrey N.

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg
  • Volume
    15
  • Issue
    7
  • fYear
    2007
  • Firstpage
    1951
  • Lastpage
    1959
  • Abstract
    NIST has coordinated annual evaluations of text-independent speaker recognition from 1996 to 2006. This paper discusses the last three of these, which utilized conversational speech data from the Mixer Corpora recently collected by the Linguistic Data Consortium. We review the evaluation procedures, the matrix of test conditions included, and the performance trends observed. While most of the data is collected over telephone channels, one multichannel test condition utilizes a subset of Mixer conversations recorded simultaneously over multiple microphone channels and a telephone line. The corpus also includes some non-English conversations involving bilingual speakers, allowing an examination of the effect of language on performance results. On the various test conditions involving English language conversational telephone data, considerable performance gains are observed over the past three years.
  • Keywords
    linguistics; speaker recognition; English language conversational telephone data; Linguistic Data Consortium; Mixer Corpora; NIST speaker recognition evaluations; bilingual speakers; text-independent speaker recognition; Cost function; Microphones; NIST; Natural languages; Performance gain; Speaker recognition; Speech analysis; Strontium; System testing; Telephony; Cross-channel evaluation; Mixer Corpora; NIST evaluations; decision error tradeoff (DET) curves; speaker recognition evaluation;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2007.902489
  • Filename
    4291612