Spevak, Christian, Polfreman, Richard and Loomes, Martin
Towards detection of perceptually similar sounds: investigating self-organizing maps.
Proceedings of the AISB'01 Symposium on Creativity in Arts and Sciences.
The Society for the Study of Artificial Intelligence and Simulation of Behaviour.
This paper outlines asystem for the detection of perceptually similar sounds ('sound spotting'), reports on a series ot preliminary experiments and discusses their results. The sound spotting system pursues a frame-based approach and consists of three main stages, an auditory model, a self-organizing map and a pattern matching algorithm. The experiments described examine how different types of self-organizmg maps classify a set of test sounds preprocessed by an auditory model and evaluate their performance by means ot visualizations and quality measures. With these outcomes in mind we suggest directions for the further development of the sound spotting system.
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