The AMI speaker diarization system for NIST RT06s meeting data

David A. van Leeuwen, M.A.H. Huijbregts

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    We describe the systems submitted to the NIST RT06s evaluation for the Speech Activity Detection (SAD) and Speaker Diarization (SPKR) tasks. For speech activity detection, a new analysis methodology is presented that generalizes the Detection Erorr Tradeoff analysis commonly used in speaker detection tasks. The speaker diarization systems are based on the TNO and ICSI system submitted for RT05s. For the conference room evaluation Single Distant Microphone condition, the SAD results perform well at 4.23 % error rate, and the ‘HMM-BIC’ SPKR results perform competatively at an error rate of 37.2 % including overlapping speech.
    Original languageUndefined
    Title of host publicationNIST Rich Transcription 2006 Spring Meeting Recognition Evaluation, RT06s
    Place of PublicationBerlin
    Number of pages15
    ISBN (Print)978-3-540-69267-6
    Publication statusPublished - 10 Oct 2007

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag


    • EWI-8483
    • METIS-241856
    • EC Grant Agreement nr.: FP6/506811
    • IR-66707

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