Hearing shapes: auditory recognition of two-dimensional spatial patterns
Phillippia Simmons, H. John Caulfield, John L. Johnson, Marius P. Schamschula, Frank T. Allen, Jason M. Kinser · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.