Exploiting jump-resonance hysteresis in silicon cochlea for formant trajectory encoding

Kenji Aono, Ravi K. Shaga, Shantanu Chakrabartty

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

2 Scopus citations

Abstract

Jump resonance is a phenomenon observed in nonlinear circuits where the output exhibits abrupt jumps when the frequency of the input signal is varied. In literature, several methods have been proposed for modeling and predicting of jump-resonance, which has led to circuit designs that are optimized to avoid this non-linear phenomenon. In this paper we propose exploiting jump-resonance based hystresis, observed in silicon cochlea, for encoding frequency and specifically formant trajectories in speech signal. Using experimental prototypes fabricated in a 0.5μm CMOS process, we show that the features extracted from a jump-resonance based silicon cochlea are more discriminative for speech based biometrics as compared to features extracted from a conventional silicon cochlea.

Original languageEnglish
Title of host publication2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
Pages85-88
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012 - Boise, ID, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Conference

Conference2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
Country/TerritoryUnited States
CityBoise, ID
Period08/5/1208/8/12

Keywords

  • formant trajectory encoding
  • G -C filter
  • jump-resonance
  • silicon cochlea
  • speaker recognition

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