A FPGA implementation of the CAR-FAC cochlear model

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30 Citations (Scopus)

Abstract

This paper presents a digital implementation of the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The CAR part simulates the basilar membrane's (BM) response to sound. The FAC part models the outer hair cell (OHC), the inner hair cell (IHC), and the medial olivocochlear efferent system functions. The FAC feeds back to the CAR by moving the poles and zeros of the CAR resonators automatically. We have implemented a 70-section, 44.1 kHz sampling rate CAR-FAC system on an Altera Cyclone V Field Programmable Gate Array (FPGA) with 18% ALM utilization by using time-multiplexing and pipeline parallelizing techniques and present measurement results here. The fully digital reconfigurable CAR-FAC system is stable, scalable, easy to use, and provides an excellent input stage to more complex machine hearing tasks such as sound localization, sound segregation, speech recognition, and so on.

Original languageEnglish
Article number198
Number of pages1
JournalFrontiers in Neuroscience
Volume12
Issue numberAPR
Publication statusPublished - 10 Apr 2018

Bibliographical note

Publisher Copyright:
© 2018 Xu, Thakur, Singh, Hamilton, Wang and van Schaik.

Open Access - Access Right Statement

© 2018 Xu, Thakur, Singh, Hamilton, Wang and van Schaik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords

  • cochlea
  • digital filters (mathematics)
  • electromechanical analogies

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