Spoofing detection using adaptive weighting framework and clustering analysis

    Research output: Chapter in Book/Conference paperConference paper

    3 Citations (Scopus)

    Abstract

    Security of Automatic Speaker Verification (ASV) systems against imposters are now focusing on anti-spoofing countermeasures. Under the severe threat of various speech spoofing techniques, ASV systems can easily be'fooled' by spoofed speech which sounds as real as human-beings. As two effective solutions, the Constant Q Cepstral Coefficients (CQCC) and the Scattering Cepstral Coefficients (SCC) perform well on the detection of artificial speech signals, especially for attacks from speech synthesis (SS) and voice conversion (VC). However, for spoofing subsets generated by different approaches, a low Equal Error Rate (EER) cannot be maintained. In this paper, an adaptive weighting based standalone detector is proposed to address the selective detection degradation. The clustering property of the genuine and the spoofed subsets are analysed for the selection of suitable weighting factors. With a Gaussian Mixture Model (GMM) classifier as the back-end, the proposed detector is evaluated on the ASVspoof 2015 database. The EERs of 0.01% and 0.20% are obtained on the known and the unknown attacks, respectively. This presents an essential complementation between the CQCC and the SCC and also promotes the future research on generalized countermeasures.

    Original languageEnglish
    Title of host publicationProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2018
    EditorsC.C. Sekhar , P. Rao, P.K. Ghosh , H.A. Murthy
    PublisherInternational Speech Communication Association
    Pages626-630
    Number of pages5
    Volume2018-September
    DOIs
    Publication statusPublished - 1 Jan 2018
    Event19th Annual Conference of the International Speech Communication, INTERSPEECH 2018 - Hyderabad, India
    Duration: 2 Sep 20186 Sep 2018

    Publication series

    NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
    ISSN (Print)2308-457X

    Conference

    Conference19th Annual Conference of the International Speech Communication, INTERSPEECH 2018
    CountryIndia
    CityHyderabad
    Period2/09/186/09/18

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