The University of Southampton
University of Southampton Institutional Repository

Modeling the effect of channel number and interaction on consonant recognition in a cochlear implant peak-picking strategy

Modeling the effect of channel number and interaction on consonant recognition in a cochlear implant peak-picking strategy
Modeling the effect of channel number and interaction on consonant recognition in a cochlear implant peak-picking strategy
Difficulties in speech recognition experienced by cochlear implant users may be attributed both to information loss caused by signal processing and to information loss associated with the interface between the electrode array and auditory nervous system, including cross-channel interaction. The objective of the work reported here was to attempt to partial out the relative contribution of these different factors to consonant recognition. This was achieved by comparing patterns of consonant feature recognition as a function of channel number and presence/absence of background noise in users of the Nucleus 24 device with normal hearing subjects listening to acoustic models that mimicked processing of that device. Additionally, in the acoustic model experiment, a simulation of cross-channel spread of excitation, or “channel interaction,” was varied. Results showed that acoustic model experiments were highly correlated with patterns of performance in better-performing cochlear implant users. Deficits to consonant recognition in this subgroup could be attributed to cochlear implant processing, whereas channel interaction played a much smaller role in determining performance errors. The study also showed that large changes to channel number in the Advanced Combination Encoder signal processing strategy led to no substantial changes in performance.
cochlear implants, electrodes, hearing, neurophysiology, speech processing, speech recognition
0001-4966
1723-36
Verschuur, Carl
5e15ee1c-3a44-4dbe-ad43-ec3b50111e41
Verschuur, Carl
5e15ee1c-3a44-4dbe-ad43-ec3b50111e41

Verschuur, Carl (2009) Modeling the effect of channel number and interaction on consonant recognition in a cochlear implant peak-picking strategy. Journal of the Acoustical Society of America, 125 (3), 1723-36. (doi:10.1121/1.3075554).

Record type: Article

Abstract

Difficulties in speech recognition experienced by cochlear implant users may be attributed both to information loss caused by signal processing and to information loss associated with the interface between the electrode array and auditory nervous system, including cross-channel interaction. The objective of the work reported here was to attempt to partial out the relative contribution of these different factors to consonant recognition. This was achieved by comparing patterns of consonant feature recognition as a function of channel number and presence/absence of background noise in users of the Nucleus 24 device with normal hearing subjects listening to acoustic models that mimicked processing of that device. Additionally, in the acoustic model experiment, a simulation of cross-channel spread of excitation, or “channel interaction,” was varied. Results showed that acoustic model experiments were highly correlated with patterns of performance in better-performing cochlear implant users. Deficits to consonant recognition in this subgroup could be attributed to cochlear implant processing, whereas channel interaction played a much smaller role in determining performance errors. The study also showed that large changes to channel number in the Advanced Combination Encoder signal processing strategy led to no substantial changes in performance.

This record has no associated files available for download.

More information

Published date: March 2009
Keywords: cochlear implants, electrodes, hearing, neurophysiology, speech processing, speech recognition
Organisations: Human Sciences Group, Institute of Sound & Vibration Research

Identifiers

Local EPrints ID: 79038
URI: http://eprints.soton.ac.uk/id/eprint/79038
ISSN: 0001-4966
PURE UUID: 2bc212d4-b359-42ca-9d06-f08f2a34f845

Catalogue record

Date deposited: 15 Mar 2010
Last modified: 14 Mar 2024 00:27

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×