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Detecting offensive user video blogs: an adaptive keyword spotting approach

Conference Paper


Abstract


  • This paper proposes a speaker independent keyword spotting (KWS) approach applied to the audio track of user

    video blogs that can help in their automatic analysis, indexing, search and retrieval. The approach, which relies

    on matching of keyword templates to speech segments using an adaptive similarity threshold that is estimated

    automatically for each utterance, does not require training data or language model as required in existing

    approaches such as those based on the Hidden Markov Model (HMM). This is a particular advantage for user

    video blogs since they usually contain words of interest that have not been adequately represented in a

    training database. Experiments conducted to detect offensive words in video blogs achieved much higher

    accuracy than existing speech-to-text based approaches.

Publication Date


  • 2012

Citation


  • M. S. Barakat, C. H. Ritz & D. A. Stirling, "Detecting offensive user video blogs: an adaptive keyword spotting approach," in Third International Conference on Audio, Language and Image Processing, 2012, pp. 419-425.

Scopus Eid


  • 2-s2.0-84872128665

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/540

Start Page


  • 419

End Page


  • 425

Abstract


  • This paper proposes a speaker independent keyword spotting (KWS) approach applied to the audio track of user

    video blogs that can help in their automatic analysis, indexing, search and retrieval. The approach, which relies

    on matching of keyword templates to speech segments using an adaptive similarity threshold that is estimated

    automatically for each utterance, does not require training data or language model as required in existing

    approaches such as those based on the Hidden Markov Model (HMM). This is a particular advantage for user

    video blogs since they usually contain words of interest that have not been adequately represented in a

    training database. Experiments conducted to detect offensive words in video blogs achieved much higher

    accuracy than existing speech-to-text based approaches.

Publication Date


  • 2012

Citation


  • M. S. Barakat, C. H. Ritz & D. A. Stirling, "Detecting offensive user video blogs: an adaptive keyword spotting approach," in Third International Conference on Audio, Language and Image Processing, 2012, pp. 419-425.

Scopus Eid


  • 2-s2.0-84872128665

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/540

Start Page


  • 419

End Page


  • 425