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A Sound-Retrieval Index Based on Two-Dimensional Similarity Maps

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Treatment of timbre in computer music systems is an unsolved problem. A practical aspect is the organization of sound material in a sound data base. Our approach uses a connectionist model to transform multidimensional timbre on a two-dimensional similarity index for sounds. The authors propose an algorithm that simulates essential properties of the peripheral auditory system and realizes a self-organizing mapping of an input sound space to a representation of lower dimension.

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