Literature DB >> 29623340

Consonant and Vowel Identification in Cochlear Implant Users Measured by Nonsense Words: A Systematic Review and Meta-Analysis.

Arne Kirkhorn Rødvik1, Janne von Koss Torkildsen1, Ona Bø Wie1,2, Marit Aarvaag Storaker3,4, Juha Tapio Silvola2,3,5.   

Abstract

Purpose: The purpose of this systematic review and meta-analysis was to establish a baseline of the vowel and consonant identification scores in prelingually and postlingually deaf users of multichannel cochlear implants (CIs) tested with consonant-vowel-consonant and vowel-consonant-vowel nonsense syllables. Method: Six electronic databases were searched for peer-reviewed articles reporting consonant and vowel identification scores in CI users measured by nonsense words. Relevant studies were independently assessed and screened by 2 reviewers. Consonant and vowel identification scores were presented in forest plots and compared between studies in a meta-analysis.
Results: Forty-seven articles with 50 studies, including 647 participants, thereof 581 postlingually deaf and 66 prelingually deaf, met the inclusion criteria of this study. The mean performance on vowel identification tasks for the postlingually deaf CI users was 76.8% (N = 5), which was higher than the mean performance for the prelingually deaf CI users (67.7%; N = 1). The mean performance on consonant identification tasks for the postlingually deaf CI users was higher (58.4%; N = 44) than for the prelingually deaf CI users (46.7%; N = 6). The most common consonant confusions were found between those with same manner of articulation (/k/ as /t/, /m/ as /n/, and /p/ as /t/). Conclusions: The mean performance on consonant identification tasks for the prelingually and postlingually deaf CI users was found. There were no statistically significant differences between the scores for prelingually and postlingually deaf CI users. The consonants that were incorrectly identified were typically confused with other consonants with the same acoustic properties, namely, voicing, duration, nasality, and silent gaps. A univariate metaregression model, although not statistically significant, indicated that duration of implant use in postlingually deaf adults predict a substantial portion of their consonant identification ability. As there is no ceiling effect, a nonsense syllable identification test may be a useful addition to the standard test battery in audiology clinics when assessing the speech perception of CI users.

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Year:  2018        PMID: 29623340     DOI: 10.1044/2018_JSLHR-H-16-0463

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  7 in total

1.  The Effect of Environmental Noise on Consonant Perception in Individual With Normal Hearing: A Prospective Observational Study.

Authors:  Lokanath Sahoo; Gunjan Dwivedi; Anubhuti Behera; Nitish Kumar Nayak; Krushnendu Sundar Sahoo; Uma Patnaik; Amit Sood
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2020-06-13

2.  Accuracy and cue use in word segmentation for cochlear-implant listeners and normal-hearing listeners presented vocoded speech.

Authors:  Christopher C Heffner; Brittany N Jaekel; Rochelle S Newman; Matthew J Goupell
Journal:  J Acoust Soc Am       Date:  2021-10       Impact factor: 2.482

3.  Speech-in-Noise Perception in Children With Cochlear Implants, Hearing Aids, Developmental Language Disorder and Typical Development: The Effects of Linguistic and Cognitive Abilities.

Authors:  Janne von Koss Torkildsen; Abigail Hitchins; Marte Myhrum; Ona Bø Wie
Journal:  Front Psychol       Date:  2019-11-19

4.  Influence of Protective Face Coverings on the Speech Recognition of Cochlear Implant Patients.

Authors:  Teresa G Vos; Margaret T Dillon; Emily Buss; Meredith A Rooth; Andrea L Bucker; Sarah Dillon; Adrienne Pearson; Kristen Quinones; Margaret E Richter; Noelle Roth; Allison Young; Matthew M Dedmon
Journal:  Laryngoscope       Date:  2021-02-16       Impact factor: 2.970

5.  Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users.

Authors:  Astrid van Wieringen; Sara Magits; Tom Francart; Jan Wouters
Journal:  Front Neurosci       Date:  2021-11-30       Impact factor: 4.677

Review 6.  Development and Evaluation of a Language-Independent Test of Auditory Discrimination for Referrals for Cochlear Implant Candidacy Assessment.

Authors:  Teresa Y C Ching; Harvey Dillon; Sanna Hou; Mark Seeto; Ana Sodan; Nicky Chong-White
Journal:  Ear Hear       Date:  2021-11-19       Impact factor: 3.562

7.  Individual Variability in Recalibrating to Spectrally Shifted Speech: Implications for Cochlear Implants.

Authors:  Michael L Smith; Matthew B Winn
Journal:  Ear Hear       Date:  2021 Sep/Oct       Impact factor: 3.562

  7 in total

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