Exploiting spike-based dynamics in a silicon cochlea for speaker identification

Shantanu Chakrabartty, Shih Chii Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

Limit-cycle dynamics embedded in neuronal spike-trains can form robust representations for encoding auditory spectral features. In this paper, we present speaker identification experiments based on limit-cycle statistics that were computed using spike-trains obtained from a spike-based silicon cochlea. The features included in this study were: (a) spike-rate; (b) inter-spike-interval distribution; and (c) inter-spike-velocity features, which were then used to design a speaker identification system based on a Gini-support vector machine (SVM) classifier. The results show a strong correlation between the information contained in the spike-rate/interval features and the spike-velocity/acceleration features indicating redundant encoding of auditory features which could be important for achieving noise-robustness in real-world recording conditions.

Original languageEnglish
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
Pages513-516
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
Duration: May 30 2010Jun 2 2010

Publication series

NameISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Conference

Conference2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Country/TerritoryFrance
CityParis
Period05/30/1006/2/10

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