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Proceedings Paper

Hearing shapes: auditory recognition of two-dimensional spatial patterns
Author(s): Phillippia Simmons; H. John Caulfield; John L. Johnson; Marius P. Schamschula; Frank T. Allen; Jason M. Kinser
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Paper Abstract

In the many years that pattern recognition has been of interest, there have ben many clever advances. One recent advance is the pulse-coupled neural network (PCNN). Due to recent developments in PCNNs, it is becoming increasingly possible to recognize images in space regardless of scale, rotation, translation. A continuation of this has been investigated which will allow images to be recognized audibly. In this paper, a general method for converting 2D spatial patterns into pattern-specific sound patterns will be discussed, along with some background information on PCNNs, and projections for his image-to-sound conversion.

Paper Details

Date Published: 11 November 1996
PDF: 15 pages
Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); doi: 10.1117/12.258121
Show Author Affiliations
Phillippia Simmons, Alabama A&M Univ. (United States)
H. John Caulfield, Alabama A&M Univ. (United States)
John L. Johnson, U.S. Army Missile Command (United States)
Marius P. Schamschula, Alabama A&M Univ. (United States)
Frank T. Allen, Alabama A&M Univ. (United States)
Jason M. Kinser, Alabama A&M Univ. (United States)


Published in SPIE Proceedings Vol. 2824:
Adaptive Computing: Mathematical and Physical Methods for Complex Environments
H. John Caulfield; Su-Shing Chen, Editor(s)

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