Index

The Alabama A & M University Department of Physics Optics and Information Processing

Hearing shapes: auditory recognition of two-dimensional spatial patterns

P. Simmons, H. J. Caulfield, J. L. Johnson, M. P. Schamschula, F. T. Allen, and J. M. Kinser

Proc. SPIE 2824, 84-98 (1996)

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.