Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses

Leslie S. Smith; Dagmar S. Fraser

doi:10.1109/TNN.2004.832831

Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses

Leslie S. Smith^*, Dagmar S. Fraser

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

A biologically inspired technique for detecting onsets in sound is presented. Outputs from a cochlea-like filter are spike coded, in a way similar to the auditory nerve (AN). These AN-like spikes are presented to a leaky integrate-and-fire neuron through a depressing synapse. Onsets are detected with essentially zero latency relative to these AN spikes. Onset detection results for a tone burst, musical sounds and the DARPA/NIST TIMIT speech corpus are presented.

Original language	English
Pages (from-to)	1125-1134
Number of pages	10
Journal	IEEE Transactions on Neural Networks
Volume	15
Issue number	5
DOIs	https://doi.org/10.1109/TNN.2004.832831
Publication status	Published - Sept 2004

Bibliographical note

Funding Information:
Manuscript received December 28, 2003; revised February 24, 2004. This work was supported in part by the Engineering and Physical Sciences Research Council Contract GR/R74574. The authors are with the Department of Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, U.K. (e-mail: lss@cs.stir.ac.uk). Digital Object Identifier 10.1109/TNN.2004.832831

ASJC Scopus subject areas

Software
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

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Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses

Abstract

Bibliographical note

ASJC Scopus subject areas

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