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.
Audio classification using acoustic images for retrieval from multimedia databases
2003-01-01
241654 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Audio Classification using Acoustic Images for Retrieval from Multimedia Databases
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