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Neural Network Approach to Analyze Spatial Sound

Self-organizing maps (SOM) and multilayer perception (MLP) neural network approaches are applied to the evaluation of spatial discrimination of real and virtual sound sources. Neural networks are trained with localization cues computed using a binaural model. The ability of the models to simulate human perception of spatial sound is analyzed.

Authors: Palomäki, Kalle; Pulkki, Ville; Karjalainen, Matti
Affiliation: Helsinki University of Technology, Espoo, Finland
AES Conference:16th International Conference: Spatial Sound Reproduction (March 1999)
Paper Number:16-022 Import into BibTeX
Subject:Spatial Sound Reproduction

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E-Library Location: (CD aes16)   /procintl/1999ro04/1722.pdf

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