A FPGA implementation of the CAR-FAC cochlear model

Ying Xu; Chetan S. Thakur; Ram K. Singh; Tara Julia Hamilton; Runchun M. Wang; André van Schaik

doi:10.3389/fnins.2018.00198

A FPGA implementation of the CAR-FAC cochlear model

Ying Xu, Chetan S. Thakur, Ram K. Singh, Tara Julia Hamilton, Runchun M. Wang, André van Schaik

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

9 Citations (Scopus)

7 Downloads (Pure)

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 language	English
Article number	198
Number of pages	14
Journal	Frontiers in Neuroscience
Volume	12
DOIs	https://doi.org/10.3389/fnins.2018.00198
Publication status	Published - 10 Apr 2018
Externally published	Yes

Bibliographical note

Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

neuromorphic engineering
electronic cochlea
basilar membrane
inner hair cell
outer hair cell
automatic gain control
medial olivocochlear efferent
FPGAs

Access to Document

10.3389/fnins.2018.00198Licence: CC BY

Publisher version (open access)Final published version, 4.39 MBLicence: CC BY

Fingerprint Dive into the research topics of 'A FPGA implementation of the CAR-FAC cochlear model'. Together they form a unique fingerprint.

Cite this

@article{306471fe24c44a23a9e00d106dce59a4,

title = "A FPGA implementation of the CAR-FAC cochlear model",

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.",

keywords = "neuromorphic engineering, electronic cochlea, basilar membrane, inner hair cell, outer hair cell, automatic gain control, medial olivocochlear efferent, FPGAs",

author = "Ying Xu and Thakur, {Chetan S.} and Singh, {Ram K.} and Hamilton, {Tara Julia} and Wang, {Runchun M.} and {van Schaik}, Andr{\'e}",

note = "Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2018",

month = apr,

day = "10",

doi = "10.3389/fnins.2018.00198",

language = "English",

volume = "12",

journal = "Frontiers in Neuroscience",

issn = "1662-4548",

publisher = "Frontiers Media S.A.",

}

TY - JOUR

T1 - A FPGA implementation of the CAR-FAC cochlear model

AU - Xu, Ying

AU - Thakur, Chetan S.

AU - Singh, Ram K.

AU - Hamilton, Tara Julia

AU - Wang, Runchun M.

AU - van Schaik, André

N1 - Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2018/4/10

Y1 - 2018/4/10

N2 - 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.

AB - 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.

KW - neuromorphic engineering

KW - electronic cochlea

KW - basilar membrane

KW - inner hair cell

KW - outer hair cell

KW - automatic gain control

KW - medial olivocochlear efferent

KW - FPGAs

UR - http://www.scopus.com/inward/record.url?scp=85045237652&partnerID=8YFLogxK

UR - http://purl.org/au-research/grants/arc/DP140103001

U2 - 10.3389/fnins.2018.00198

DO - 10.3389/fnins.2018.00198

M3 - Article

C2 - 29692700

VL - 12

JO - Frontiers in Neuroscience

JF - Frontiers in Neuroscience

SN - 1662-4548

M1 - 198

ER -