The role of automated speech and audio analysis in semantic multimedia annotation

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    Abstract

    This paper overviews the various ways in which automatic speech and audio analysis can be deployed to enhance the semantic annotation of multimedia content, and as a consequence to improve the effectiveness of conceptual access tools. A number of techniques will be presented, including the alignment of text resources, large vocabulary speech recognition, key word spotting and speaker classification. The applicability of techniques will be discussed from a media crossing perspective. The added value will be illustrated by the description of two complementary demonstrators for browsing broadcast news archieves.
    Original languageUndefined
    Title of host publicationInternational IET Conference on Visual Information Engineering (VIE 2006)
    Place of PublicationBangalore, India
    PublisherThe Institute of Engineering and Technology, London
    Pages6
    Number of pages6
    ISBN (Print)0-86341-671-3
    Publication statusPublished - Sep 2006
    EventInternational IET Conference on Visual Information Engineering (VIE 2006), Bangalore, India: International IET Conference on Visual Information Engineering (VIE 2006) - Bangalore, India
    Duration: 1 Sep 2006 → …

    Publication series

    Name
    PublisherThe Institute of Engineering and Technology, London
    Number10

    Conference

    ConferenceInternational IET Conference on Visual Information Engineering (VIE 2006), Bangalore, India
    CityBangalore, India
    Period1/09/06 → …

    Keywords

    • IR-66682
    • EC Grant Agreement nr.: FP6/506811
    • METIS-237667
    • EWI-8337
    • EC Grant Agreement nr.: FP6/027685

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