Noise Clustering-Based Speaker Verification

Dat Tran, Max Wagner

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

    3 Citations (Scopus)

    Abstract

    The normalisation method for speaker verification proposed in this paper is based on the idea of the noise clustering method in fuzzy clustering. The proposed method can reduce false acceptance errors and apply to all current normalisation scores. Experiments performed on the ANDOSL and YOHO speech corpora show better results for the proposed method
    Original languageEnglish
    Title of host publicationAFSS International Conference on Fuzzy Systems AFSS 2002
    Subtitle of host publicationAdvances in Soft Computing — AFSS 2002
    EditorsN. R. Pal, M. Sugeno
    Place of PublicationGermany
    PublisherSpringer
    Pages325-331
    Number of pages7
    ISBN (Print)9783540431503
    DOIs
    Publication statusPublished - 2002
    Event2002 AFSS International Conference on Fuzzy Systems - Calcutta, India
    Duration: 3 Feb 20026 Feb 2002

    Conference

    Conference2002 AFSS International Conference on Fuzzy Systems
    CountryIndia
    CityCalcutta
    Period3/02/026/02/02

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    Cite this

    Tran, D., & Wagner, M. (2002). Noise Clustering-Based Speaker Verification. In N. R. Pal, & M. Sugeno (Eds.), AFSS International Conference on Fuzzy Systems AFSS 2002: Advances in Soft Computing — AFSS 2002 (pp. 325-331). Germany: Springer. https://doi.org/10.1007/3-540-45631-7_43