New Background Speaker Models and Experiments on the ANDOSL Speech Corpus

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    3 Citations (Scopus)

    Abstract

    We present a new background speaker modeling method for speaker verification. This method does not require speech databases of other speakers to build background speaker models. Background speaker models can be built directly from the same claimed speaker’s database and have smaller numbers of Gaussian mixtures compared to the claimed speaker model. Experiments performed on the Australian ANDOSL speech database showed better results for speaker verification using the 32-mixture claimed speaker model and 16-mixture background model compared to current background model set methods using five closest and five same-group background models
    Original languageEnglish
    Title of host publicationInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems KES 2004
    EditorsM.G Negoita, R.J Howlett, L.C Jain
    Place of PublicationGermany
    PublisherSpringer
    Pages498-503
    Number of pages2
    ISBN (Print)9783540232063
    DOIs
    Publication statusPublished - 2004
    EventKnowledge-Based Intelligent Information and Engineering Systems - Wellington, New Zealand
    Duration: 22 Sep 200424 Sep 2004

    Conference

    ConferenceKnowledge-Based Intelligent Information and Engineering Systems
    CountryNew Zealand
    CityWellington
    Period22/09/0424/09/04

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  • Cite this

    Tran, D., & Sharma, D. (2004). New Background Speaker Models and Experiments on the ANDOSL Speech Corpus. In M. G. Negoita, R. J. Howlett, & L. C. Jain (Eds.), International Conference on Knowledge-Based and Intelligent Information and Engineering Systems KES 2004 (pp. 498-503). Springer. https://doi.org/10.1007/978-3-540-30133-2_65