Multimodal Speaker Verification Using Ancillary Known Speaker Characteristics Such as Gender or Age

Girija Chetty, Michael Wagner

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

    Abstract

    Multimodal speaker verification based on easy-to-obtain biometric traits such as face and voice is rapidly gaining acceptance as the preferred technology for many applications. In many such practical applications, other characteristics of the speaker such as gender or age are known and may be exploited for enhanced verification accuracy. In this paper we present a parallel approach determining gender as an ancillary speaker characteristic, which is incorporated in the decision of a face-voice speaker verification system. Preliminary experiments with the DaFEx multimodal audio-video database show that fusing the results of gender recognition and identity verification improves the performance of multimodal speaker verification.
    Original languageEnglish
    Title of host publication10th Annual Conference of the International Speech Communication Association (Interspeech 2009)
    EditorsM Uther
    Place of PublicationBrighton, UK
    PublisherInternational Speech Communication Association
    Pages1167-1170
    Number of pages4
    ISBN (Print)9781615676927
    Publication statusPublished - 2009
    EventInterspeech-2009 - Brighton, United Kingdom
    Duration: 6 Sep 20099 Sep 2009

    Conference

    ConferenceInterspeech-2009
    CountryUnited Kingdom
    CityBrighton
    Period6/09/099/09/09

      Fingerprint

    Cite this

    Chetty, G., & Wagner, M. (2009). Multimodal Speaker Verification Using Ancillary Known Speaker Characteristics Such as Gender or Age. In M. Uther (Ed.), 10th Annual Conference of the International Speech Communication Association (Interspeech 2009) (pp. 1167-1170). Brighton, UK: International Speech Communication Association.