CAR-Lite : a multi-rate cochlea model on FPGA

Ram Singh, Ying Xu, Runchun Wang, Tara Julia Hamilton, André van Schaik, Susan L. Denham

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

![CDATA[Filters in cochlea models use different coefficients to break sound into a two-dimensional time-frequency representation. On digital hardware with a single sampling rate, the number of bits required to represent these coefficients require substantial computational resources such as memory storage. In this paper, we present a cochlea model operating at multiple sampling rates. As a result, fewer bits are required to represent filter coefficients on hardware as opposed to all the filters operating at a single sampling rate. Additionally, with a 108-filter cochlea implementation, up to nine times fewer coefficients are used than a single sampling rate approach across all filter sections. We present an implementation of 108 filters in Matlab and on an Altera Cyclone V FPGA with a low logic level utilization of 2.57%. Our model can thus be extended to include other auditory processing models such as loudness, pitch perception and timbre recognition on a single FPGA.]]
Original languageEnglish
Title of host publication2018 IEEE International Symposium on Circuits and Systems (ISCAS): Proceedings, 27-30 May 2018, Florence, Italy
PublisherIEEE
Number of pages5
ISBN (Print)9781538648810
DOIs
Publication statusPublished - 2018
EventIEEE International Symposium on Circuits and Systems -
Duration: 27 May 2018 → …

Publication series

Name
ISSN (Print)2379-447X

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Period27/05/18 → …

Keywords

  • acoustic nerve
  • cochlea
  • field programmable gate arrays
  • neuromorphics

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