A sound processor for cochlear implant using a simple dual path nonlinear model of basilar membrane

Kyunghwan Kim, Sung Jin Choi, Jin Ho Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We propose a new active nonlinear model of the frequency response of the basilar membrane in biological cochlea called the simple dual path nonlinear (SDPN) model and a novel sound processing strategy for cochlear implants (CIs) based upon this model. The SDPN model was developed to utilize the advantages of the level-dependent frequency response characteristics of the basilar membrane for robust formant representation under noisy conditions. In comparison to the dual resonance nonlinear model (DRNL) which was previously proposed as an active nonlinear model of the basilar membrane, the SDPN model can reproduce similar level-dependent frequency responses with a much simpler structure and is thus better suited for incorporation into CI sound processors. By the analysis of dominant frequency component, it was confirmed that the formants of speech are more robustly represented after frequency decomposition by the nonlinear filterbank using SDPN, compared to a linear bandpass filter array which is used in conventional strategies. Acoustic simulation and hearing experiments in subjects with normal hearing showed that the proposed strategy results in better syllable recognition under speech-shaped noise compared to the conventional strategy based on fixed linear bandpass filters.

Original languageEnglish
Article number153039
JournalComputational and Mathematical Methods in Medicine
Volume2013
DOIs
Publication statusPublished - 2013 May 13

Fingerprint

Basilar Membrane
Cochlear implants
Nonlinear Dynamics
Cochlear Implants
Implant
Nonlinear Model
Membrane
Acoustic waves
Membranes
Path
Frequency Response
Linear Filter
Bandpass Filter
Frequency response
Audition
Hearing
Bandpass filters
Dependent
Cochlea
Acoustics

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Applied Mathematics

Cite this

@article{faebba6092e0439a98d02e4c22d3b287,
title = "A sound processor for cochlear implant using a simple dual path nonlinear model of basilar membrane",
abstract = "We propose a new active nonlinear model of the frequency response of the basilar membrane in biological cochlea called the simple dual path nonlinear (SDPN) model and a novel sound processing strategy for cochlear implants (CIs) based upon this model. The SDPN model was developed to utilize the advantages of the level-dependent frequency response characteristics of the basilar membrane for robust formant representation under noisy conditions. In comparison to the dual resonance nonlinear model (DRNL) which was previously proposed as an active nonlinear model of the basilar membrane, the SDPN model can reproduce similar level-dependent frequency responses with a much simpler structure and is thus better suited for incorporation into CI sound processors. By the analysis of dominant frequency component, it was confirmed that the formants of speech are more robustly represented after frequency decomposition by the nonlinear filterbank using SDPN, compared to a linear bandpass filter array which is used in conventional strategies. Acoustic simulation and hearing experiments in subjects with normal hearing showed that the proposed strategy results in better syllable recognition under speech-shaped noise compared to the conventional strategy based on fixed linear bandpass filters.",
author = "Kyunghwan Kim and Choi, {Sung Jin} and Kim, {Jin Ho}",
year = "2013",
month = "5",
day = "13",
doi = "10.1155/2013/153039",
language = "English",
volume = "2013",
journal = "Computational and Mathematical Methods in Medicine",
issn = "1748-670X",
publisher = "Hindawi Publishing Corporation",

}

A sound processor for cochlear implant using a simple dual path nonlinear model of basilar membrane. / Kim, Kyunghwan; Choi, Sung Jin; Kim, Jin Ho.

In: Computational and Mathematical Methods in Medicine, Vol. 2013, 153039, 13.05.2013.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A sound processor for cochlear implant using a simple dual path nonlinear model of basilar membrane

AU - Kim, Kyunghwan

AU - Choi, Sung Jin

AU - Kim, Jin Ho

PY - 2013/5/13

Y1 - 2013/5/13

N2 - We propose a new active nonlinear model of the frequency response of the basilar membrane in biological cochlea called the simple dual path nonlinear (SDPN) model and a novel sound processing strategy for cochlear implants (CIs) based upon this model. The SDPN model was developed to utilize the advantages of the level-dependent frequency response characteristics of the basilar membrane for robust formant representation under noisy conditions. In comparison to the dual resonance nonlinear model (DRNL) which was previously proposed as an active nonlinear model of the basilar membrane, the SDPN model can reproduce similar level-dependent frequency responses with a much simpler structure and is thus better suited for incorporation into CI sound processors. By the analysis of dominant frequency component, it was confirmed that the formants of speech are more robustly represented after frequency decomposition by the nonlinear filterbank using SDPN, compared to a linear bandpass filter array which is used in conventional strategies. Acoustic simulation and hearing experiments in subjects with normal hearing showed that the proposed strategy results in better syllable recognition under speech-shaped noise compared to the conventional strategy based on fixed linear bandpass filters.

AB - We propose a new active nonlinear model of the frequency response of the basilar membrane in biological cochlea called the simple dual path nonlinear (SDPN) model and a novel sound processing strategy for cochlear implants (CIs) based upon this model. The SDPN model was developed to utilize the advantages of the level-dependent frequency response characteristics of the basilar membrane for robust formant representation under noisy conditions. In comparison to the dual resonance nonlinear model (DRNL) which was previously proposed as an active nonlinear model of the basilar membrane, the SDPN model can reproduce similar level-dependent frequency responses with a much simpler structure and is thus better suited for incorporation into CI sound processors. By the analysis of dominant frequency component, it was confirmed that the formants of speech are more robustly represented after frequency decomposition by the nonlinear filterbank using SDPN, compared to a linear bandpass filter array which is used in conventional strategies. Acoustic simulation and hearing experiments in subjects with normal hearing showed that the proposed strategy results in better syllable recognition under speech-shaped noise compared to the conventional strategy based on fixed linear bandpass filters.

UR - http://www.scopus.com/inward/record.url?scp=84877258436&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877258436&partnerID=8YFLogxK

U2 - 10.1155/2013/153039

DO - 10.1155/2013/153039

M3 - Article

VL - 2013

JO - Computational and Mathematical Methods in Medicine

JF - Computational and Mathematical Methods in Medicine

SN - 1748-670X

M1 - 153039

ER -