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

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  • 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). International Speech Communication Association.