Literature DB >> 22923425

Single and multiple microphone noise reduction strategies in cochlear implants.

Kostas Kokkinakis1, Behnam Azimi, Yi Hu, David R Friedland.   

Abstract

To restore hearing sensation, cochlear implants deliver electrical pulses to the auditory nerve by relying on sophisticated signal processing algorithms that convert acoustic inputs to electrical stimuli. Although individuals fitted with cochlear implants perform well in quiet, in the presence of background noise, the speech intelligibility of cochlear implant listeners is more susceptible to background noise than that of normal hearing listeners. Traditionally, to increase performance in noise, single-microphone noise reduction strategies have been used. More recently, a number of approaches have suggested that speech intelligibility in noise can be improved further by making use of two or more microphones, instead. Processing strategies based on multiple microphones can better exploit the spatial diversity of speech and noise because such strategies rely mostly on spatial information about the relative position of competing sound sources. In this article, we identify and elucidate the most significant theoretical aspects that underpin single- and multi-microphone noise reduction strategies for cochlear implants. More analytically, we focus on strategies of both types that have been shown to be promising for use in current-generation implant devices. We present data from past and more recent studies, and furthermore we outline the direction that future research in the area of noise reduction for cochlear implants could follow.

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Year:  2012        PMID: 22923425      PMCID: PMC3691954          DOI: 10.1177/1084713812456906

Source DB:  PubMed          Journal:  Trends Amplif        ISSN: 1084-7138


  44 in total

1.  Evaluation of an adaptive beamforming method for hearing aids.

Authors:  J E Greenberg; P M Zurek
Journal:  J Acoust Soc Am       Date:  1992-03       Impact factor: 1.840

Review 2.  Challenges and recent developments in hearing aids. Part I. Speech understanding in noise, microphone technologies and noise reduction algorithms.

Authors:  King Chung
Journal:  Trends Amplif       Date:  2004

3.  Speech understanding in background noise with the two-microphone adaptive beamformer BEAM in the Nucleus Freedom Cochlear Implant System.

Authors:  Ann Spriet; Lieselot Van Deun; Kyriaky Eftaxiadis; Johan Laneau; Marc Moonen; Bas van Dijk; Astrid van Wieringen; Jan Wouters
Journal:  Ear Hear       Date:  2007-02       Impact factor: 3.570

4.  A low-power asynchronous interleaved sampling algorithm for cochlear implants that encodes envelope and phase information.

Authors:  Ji-Jon Sit; Andrea M Simonson; Andrew J Oxenham; Michael A Faltys; Rahul Sarpeshkar
Journal:  IEEE Trans Biomed Eng       Date:  2007-01       Impact factor: 4.538

5.  Use of a sigmoidal-shaped function for noise attenuation in cochlear implants.

Authors:  Yi Hu; Philipos C Loizou; Ning Li; Kalyan Kasturi
Journal:  J Acoust Soc Am       Date:  2007-10       Impact factor: 1.840

6.  Factors influencing intelligibility of ideal binary-masked speech: implications for noise reduction.

Authors:  Ning Li; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2008-03       Impact factor: 1.840

7.  A channel-selection criterion for suppressing reverberation in cochlear implants.

Authors:  Kostas Kokkinakis; Oldooz Hazrati; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2011-05       Impact factor: 1.840

8.  Speech recognition by bilateral cochlear implant users in a cocktail-party setting.

Authors:  Philipos C Loizou; Yi Hu; Ruth Litovsky; Gongqiang Yu; Robert Peters; Jennifer Lake; Peter Roland
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

Review 9.  Cochlear implants: system design, integration, and evaluation.

Authors:  Fan-Gang Zeng; Stephen Rebscher; William Harrison; Xiaoan Sun; Haihong Feng
Journal:  IEEE Rev Biomed Eng       Date:  2008-11-05

10.  Evaluation of a portable two-microphone adaptive beamforming speech processor with cochlear implant patients.

Authors:  R J van Hoesel; G M Clark
Journal:  J Acoust Soc Am       Date:  1995-04       Impact factor: 1.840

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  14 in total

1.  A speech perturbation strategy based on "Lombard effect" for enhanced intelligibility for cochlear implant listeners.

Authors:  John H L Hansen; Jaewook Lee; Hussnain Ali; Juliana N Saba
Journal:  J Acoust Soc Am       Date:  2020-03       Impact factor: 1.840

2.  Adaptive spatial filtering improves speech reception in noise while preserving binaural cues.

Authors:  Susan R S Bissmeyer; Raymond L Goldsworthy
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

Review 3.  Speech Understanding in Complex Listening Environments by Listeners Fit With Cochlear Implants.

Authors:  Michael F Dorman; Rene H Gifford
Journal:  J Speech Lang Hear Res       Date:  2017-10-17       Impact factor: 2.297

4.  Speech enhancement for cochlear implant recipients.

Authors:  Dongmei Wang; John H L Hansen
Journal:  J Acoust Soc Am       Date:  2018-04       Impact factor: 1.840

5.  Speech Understanding in Noise by Patients With Cochlear Implants Using a Monaural Adaptive Beamformer.

Authors:  Michael F Dorman; Sarah Natale; Anthony Spahr; Erin Castioni
Journal:  J Speech Lang Hear Res       Date:  2017-08-16       Impact factor: 2.297

6.  Speech Intelligibility and Spatial Release From Masking Improvements Using Spatial Noise Reduction Algorithms in Bimodal Cochlear Implant Users.

Authors:  Ayham Zedan; Tim Jürgens; Ben Williges; Birger Kollmeier; Konstantin Wiebe; Julio Galindo; Thomas Wesarg
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

7.  Adult Users of the Oticon Medical Neuro Cochlear Implant System Benefit from Beamforming in the High Frequencies.

Authors:  Bianca Bastos Cordeiro; Marcos Roberto Banhara; Carlos Maurício Cardeal Mendes; Fabiana Danieli; Ariane Laplante-Lévesque; Chadlia Karoui; Michel Hoen; Marine Ardoint; Fanny Gauvrit; Romane Demullier; Christophe Vincent
Journal:  Audiol Res       Date:  2021-04-16

8.  Advanced beamformers for cochlear implant users: acute measurement of speech perception in challenging listening conditions.

Authors:  Andreas Buechner; Karl-Heinz Dyballa; Phillipp Hehrmann; Stefan Fredelake; Thomas Lenarz
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

9.  Two-microphone spatial filtering improves speech reception for cochlear-implant users in reverberant conditions with multiple noise sources.

Authors:  Raymond L Goldsworthy
Journal:  Trends Hear       Date:  2014-10-20       Impact factor: 3.293

10.  Fixed and adaptive beamforming improves speech perception in noise in cochlear implant recipients equipped with the MED-EL SONNET audio processor.

Authors:  Clemens Honeder; Rudolfs Liepins; Christoph Arnoldner; Hana Šinkovec; Alexandra Kaider; Erich Vyskocil; Dominik Riss
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

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