Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing
Abstract
We propose a neuromorphic architecture for real-time processing of acoustic transients in analog VLSI. We show how judicious normalization of a time-frequency signal allows an elegant and robust implementation of a correlation algorithm. The algorithm uses binary multiplexing instead of analog-analog multiplication. This removes the need for analog storage and analog-multiplication. Simulations show that the resulting algorithm has the same out-of-sample classification performance (-93% correct) as a baseline template-matching algorithm.
Cite
Text
Pineda et al. "Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing." Neural Information Processing Systems, 1996.Markdown
[Pineda et al. "Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/pineda1996neurips-bangs/)BibTeX
@inproceedings{pineda1996neurips-bangs,
title = {{Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing}},
author = {Pineda, Fernando J. and Cauwenberghs, Gert and Edwards, R. Timothy},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {734-740},
url = {https://mlanthology.org/neurips/1996/pineda1996neurips-bangs/}
}