Hearing shapes: Auditory recognition of two-dimensional spatial patterns

In the many years that pattern recognition has been of interest, there have been 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(1). A continuation of this has been investigated which will allow images to be recognized audibly. in this paper, a general method for converting two-dimensional spatial patterns into pattern-specific sound patterns will be discussed, along with some background information on PCNNs, and projections for this image-to-sound conversion.