Literature DB >> 14533838

Optimizing cochlear implant speech performance.

Margaret W Skinner1.   

Abstract

Results of studies performed in our laboratory suggest that cochlear implant recipients understand speech best if the following speech processor parameters are individually chosen for each person: minimum and maximum stimulation levels on each electrode in the speech processor program (MAP), stimulation rate, and speech coding strategy. If these and related parameters are chosen to make soft sounds (from approximately 100 to 6,000 Hz) audible at as close to 20 dB hearing level as possible and loud sounds not too loud, recipients have the opportunity to hear speech in everyday life situations that are of key importance to children who are learning language and to all recipients in terms of ease of communication.

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Year:  2003        PMID: 14533838     DOI: 10.1177/00034894031120s903

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol Suppl        ISSN: 0096-8056


  14 in total

1.  Effects of stimulation rate, mode and level on modulation detection by cochlear implant users.

Authors:  John J Galvin; Qian-Jie Fu
Journal:  J Assoc Res Otolaryngol       Date:  2005-09

2.  [Experiments on prosody perception with cochlear implants].

Authors:  H Meister; D Tepeli; P Wagner; W Hess; M Walger; H von Wedel; R Lang-Roth
Journal:  HNO       Date:  2007-04       Impact factor: 1.284

3.  Optimization of programming parameters in children with the advanced bionics cochlear implant.

Authors:  Jacquelyn Baudhuin; Jamie Cadieux; Jill B Firszt; Ruth M Reeder; Jerrica L Maxson
Journal:  J Am Acad Audiol       Date:  2012-05       Impact factor: 1.664

4.  The Effects of Preprocessing Strategies for Pediatric Cochlear Implant Recipients.

Authors:  Bernadette Rakszawski; Rose Wright; Jamie H Cadieux; Lisa S Davidson; Christine Brenner
Journal:  J Am Acad Audiol       Date:  2016-02       Impact factor: 1.664

5.  Voice gender and the segregation of competing talkers: Perceptual learning in cochlear implant simulations.

Authors:  Jessica R Sullivan; Peter F Assmann; Shaikat Hossain; Erin C Schafer
Journal:  J Acoust Soc Am       Date:  2017-03       Impact factor: 1.840

6.  Evaluation of a New Algorithm to Optimize Audibility in Cochlear Implant Recipients.

Authors:  Laura K Holden; Jill B Firszt; Ruth M Reeder; Noël Y Dwyer; Amy L Stein; Leo M Litvak
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

7.  Evaluation of different signal processing options in unilateral and bilateral cochlear freedom implant recipients using R-Space background noise.

Authors:  Alison M Brockmeyer; Lisa G Potts
Journal:  J Am Acad Audiol       Date:  2011-02       Impact factor: 1.664

8.  Recognition and localization of speech by adult cochlear implant recipients wearing a digital hearing aid in the nonimplanted ear (bimodal hearing).

Authors:  Lisa G Potts; Margaret W Skinner; Ruth A Litovsky; Michael J Strube; Francis Kuk
Journal:  J Am Acad Audiol       Date:  2009-06       Impact factor: 1.664

9.  Role of electrode placement as a contributor to variability in cochlear implant outcomes.

Authors:  Charles C Finley; Timothy A Holden; Laura K Holden; Bruce R Whiting; Richard A Chole; Gail J Neely; Timothy E Hullar; Margaret W Skinner
Journal:  Otol Neurotol       Date:  2008-10       Impact factor: 2.311

10.  Influence of stimulation rate and loudness growth on modulation detection and intensity discrimination in cochlear implant users.

Authors:  John J Galvin; Qian-Jie Fu
Journal:  Hear Res       Date:  2009-02-03       Impact factor: 3.208

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