Improving speech intelligibility for bilateral cochlear implant users using Weiner filters and its impact on cognitive load

Alan Kan*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

While cochlear implants have improved speech understanding for patients who are profoundly deaf, performance in noisy environments is still far from that of normal hearing listeners. It has been common to suggest that performance improvements can be obtained using speech enhancement/noise reduction algorithms. These algorithms are often evaluated using theoretical measures only, or via speech intelligibility tests that measure percent correct scores. However, many of these algorithms are also known to introduce undesirable distortions which may negate the theoretical signal-to-noise ratio benefits because of an increase in cognitive load required to understand the enhanced, but distorted, speech signal. In this work, we evaluate a simple noise reduction algorithm based on Wiener filtering principles with cochlear implant users, and show that improvements in speech understanding performance can be seen with percent correct scores overall, but at the cost of increased cognitive load in some listeners.

Original languageEnglish
Title of host publicationProceedings Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference APSIPA ASC 2017
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages786-792
Number of pages7
ISBN (Electronic)9781538615423, 9781538615416
ISBN (Print)9781538615430
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017

Conference

Conference9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17

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