Literature DB >> 11349792

Auditory learning and adaptation after cochlear implantation: a preliminary study of discrimination and labeling of vowel sounds by cochlear implant users.

M A Svirsky1, A Silveira, H Suarez, H Neuburger, T T Lai, P M Simmons.   

Abstract

This study examined two possible reasons underlying longitudinal increases in vowel identification by cochlear implant users: improved labeling of vowel sounds and improved electrode discrimination. The Multidimensional Phoneme Identification (MPI) model was used to obtain ceiling estimates of vowel identification for each subject, given his/her electrode discrimination skills. Vowel identification scores were initially lower than the ceiling estimates, but they gradually approached them over the first few months post-implant. Taken together, the present results suggest that improved labeling is the main mechanism explaining post-implant increases in vowel identification.

Mesh:

Year:  2001        PMID: 11349792     DOI: 10.1080/000164801300043767

Source DB:  PubMed          Journal:  Acta Otolaryngol        ISSN: 0001-6489            Impact factor:   1.494


  18 in total

1.  Improving melody recognition in cochlear implant recipients through individualized frequency map fitting.

Authors:  Walter Di Nardo; Alessandro Scorpecci; Sara Giannantonio; Francesca Cianfrone; Gaetano Paludetti
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-07-16       Impact factor: 2.503

2.  A new software tool to optimize frequency table selection for cochlear implants.

Authors:  Daniel Jethanamest; Chin-Tuan Tan; Matthew B Fitzgerald; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2010-10       Impact factor: 2.311

3.  Maximizing cochlear implant patients' performance with advanced speech training procedures.

Authors:  Qian-Jie Fu; John J Galvin
Journal:  Hear Res       Date:  2007-12-08       Impact factor: 3.208

4.  A mathematical model of medial consonant identification by cochlear implant users.

Authors:  Mario A Svirsky; Elad Sagi; Ted A Meyer; Adam R Kaiser; Su Wooi Teoh
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

5.  A Smartphone Application for Customized Frequency Table Selection in Cochlear Implants.

Authors:  Daniel Jethanamest; Mahan Azadpour; Annette M Zeman; Elad Sagi; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2017-09       Impact factor: 2.311

6.  Pitch Matching between Electrical Stimulation of a Cochlear Implant and Acoustic Stimuli Presented to a Contralateral Ear with Residual Hearing.

Authors:  Chin-Tuan Tan; Brett Martin; Mario A Svirsky
Journal:  J Am Acad Audiol       Date:  2017-03       Impact factor: 1.664

7.  The Relationship Between Insertion Angles, Default Frequency Allocations, and Spiral Ganglion Place Pitch in Cochlear Implants.

Authors:  David M Landsberger; Maja Svrakic; J Thomas Roland; Mario Svirsky
Journal:  Ear Hear       Date:  2015 Sep-Oct       Impact factor: 3.570

8.  The process of spoken word recognition in the face of signal degradation.

Authors:  Ashley Farris-Trimble; Bob McMurray; Nicole Cigrand; J Bruce Tomblin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-09-16       Impact factor: 3.332

9.  Initial Operative Experience and Short-term Hearing Preservation Results With a Mid-scala Cochlear Implant Electrode Array.

Authors:  Maja Svrakic; J Thomas Roland; Sean O McMenomey; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2016-12       Impact factor: 2.311

Review 10.  Trends in cochlear implants.

Authors:  Fan-Gang Zeng
Journal:  Trends Amplif       Date:  2004
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