Bang, Click, Thud, or Whack?
Fernando J. Pineda, Gert Cauwenberghs, R. Timothy Edwards, Kenneth T Ryals, David G. Steigerwald · 1997
this article, we describe a biologically inspired analog very-large-scale integration (VLSI) architecture for real-time classification of acoustic transients. Judicious normalization of time--frequency signals allows an elegant and robust implementation of a correlation algorithm. The algorithm replaces analog--analog multiplication with binary multiplexing of analog signals. This removes the need for analog storage and analog multiplication. Simulations show that the resulting algorithm has the same out-of-sample classification performance (about 93% correct) as a template-matching algorithm based on conventional analog correlation. This development paves the way for intelligent acoustic processing in low-power applications such as cellular telephones and debit cards.