With the increasing use of audio-visual databases, the need for automatic content-based classification has grown in importance. In this paper, a novel method for the automatic recognition of acoustic utterances is presented using acoustic images as the basis for the feature extraction. This method effectively employs the spectrogram, the Wigner-Ville distribution and co-occurrence matrices. The images are then compressed, using statistical methods, before being combined into a single feature matrix to be presented to a classifier. Initial results obtained from the classification of a database of sport sounds and gunshots indicate that the method is capable of accurate discrimination for coarse and fine classification respectively.


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    Titel :

    Audio classification using acoustic images for retrieval from multimedia databases


    Beteiligte:
    Paraskevas, I. (Autor:in) / Chilton, E. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    241654 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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