Literature DB >> 32119817

Effect of Microphone Location and Beamforming Technology on Speech Recognition in Pediatric Cochlear Implant Recipients.

Jourdan T Holder1, Adrian L Taylor1, Linsey W Sunderhaus1, René H Gifford1.   

Abstract

BACKGROUND: Despite improvements in cochlear implant (CI) technology, pediatric CI recipients continue to have more difficulty understanding speech than their typically hearing peers in background noise. A variety of strategies have been evaluated to help mitigate this disparity, such as signal processing, remote microphone technology, and microphone placement. Previous studies regarding microphone placement used speech processors that are now dated, and most studies investigating the improvement of speech recognition in background noise included adult listeners only.
PURPOSE: The purpose of the present study was to investigate the effects of microphone location and beamforming technology on speech understanding for pediatric CI recipients in noise. RESEARCH
DESIGN: A prospective, repeated-measures, within-participant design was used to compare performance across listening conditions. STUDY SAMPLE: A total of nine children (aged 6.6 to 15.3 years) with at least one Advanced Bionics CI were recruited for this study. DATA COLLECTION AND ANALYSIS: The Basic English Lexicon Sentences and AzBio Sentences were presented at 0o azimuth at 65-dB SPL in +5 signal-to-noise ratio noise presented from seven speakers using the R-SPACE system (Advanced Bionics, Valencia, CA). Performance was compared across three omnidirectional microphone configurations (processor microphone, T-Mic 2, and processor + T-Mic 2) and two directional microphone configurations (UltraZoom and auto UltraZoom). The two youngest participants were not tested in the directional microphone configurations.
RESULTS: No significant differences were found between the various omnidirectional microphone configurations. UltraZoom provided significant benefit over all omnidirectional microphone configurations (T-Mic 2, p = 0.004, processor microphone, p < 0.001, and processor microphone + T-Mic 2, p = 0.018) but was not significantly different from auto UltraZoom (p = 0.176).
CONCLUSIONS: All omnidirectional microphone configurations yielded similar performance, suggesting that a child's listening performance in noise will not be compromised by choosing the microphone configuration best suited for the child. UltraZoom (adaptive beamformer) yielded higher performance than all omnidirectional microphones in moderate background noise for adolescents aged 9 to 15 years. The implications of these data suggest that for older children who are able to reliably use manual controls, UltraZoom will yield significantly higher performance in background noise when the target is in front of the listener.
Copyright © 2020 by the American Academy of Audiology. All rights reserved.

Entities:  

Year:  2020        PMID: 32119817      PMCID: PMC7415548          DOI: 10.3766/jaaa.19025

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  25 in total

1.  Speech recognition with in-the-ear and behind-the-ear dual-microphone hearing instruments.

Authors:  J M Pumford; R C Seewald; S D Scollie; L M Jenstad
Journal:  J Am Acad Audiol       Date:  2000-01       Impact factor: 1.664

2.  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

3.  Evaluation of Speech Recognition of Cochlear Implant Recipients Using Adaptive, Digital Remote Microphone Technology and a Speech Enhancement Sound Processing Algorithm.

Authors:  Jace Wolfe; Mila Morais; Erin Schafer; Smita Agrawal; Dawn Koch
Journal:  J Am Acad Audiol       Date:  2015-05       Impact factor: 1.664

Review 4.  Measuring noise in classrooms: a systematic review.

Authors:  Vanessa Luisa Destro Fidêncio; Adriane Lima Mortari Moret; Regina Tangerino de Souza Jacob
Journal:  Codas       Date:  2014 Mar-Apr

Review 5.  The Desired Sensation Level multistage input/output algorithm.

Authors:  Susan Scollie; Richard Seewald; Leonard Cornelisse; Sheila Moodie; Marlene Bagatto; Diana Laurnagaray; Steve Beaulac; John Pumford
Journal:  Trends Amplif       Date:  2005

6.  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

7.  Cochlear implant microphone location affects speech recognition in diffuse noise.

Authors:  Elizabeth R Kolberg; Sterling W Sheffield; Timothy J Davis; Linsey W Sunderhaus; René H Gifford
Journal:  J Am Acad Audiol       Date:  2015-01       Impact factor: 1.664

8.  Performance-intensity functions for normal-hearing adults and children using computer-aided speech perception assessment.

Authors:  Ryan McCreery; Rindy Ito; Merry Spratford; Dawna Lewis; Brenda Hoover; Patricia G Stelmachowicz
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

9.  Sentence Recognition in Quiet and Noise by Pediatric Cochlear Implant Users: Relationships to Spoken Language.

Authors:  Laurie S Eisenberg; Laurel M Fisher; Karen C Johnson; Dianne Hammes Ganguly; Thelma Grace; John K Niparko
Journal:  Otol Neurotol       Date:  2016-02       Impact factor: 2.311

10.  The Relationship Between Spectral Modulation Detection and Speech Recognition: Adult Versus Pediatric Cochlear Implant Recipients.

Authors:  René H Gifford; Jack H Noble; Stephen M Camarata; Linsey W Sunderhaus; Robert T Dwyer; Benoit M Dawant; Mary S Dietrich; Robert F Labadie
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.496

View more
  2 in total

1.  Effect of Microphone Configuration and Sound Source Location on Speech Recognition for Adult Cochlear Implant Users with Current-Generation Sound Processors.

Authors:  Robert T Dwyer; Jillian Roberts; René H Gifford
Journal:  J Am Acad Audiol       Date:  2020-04-27       Impact factor: 1.664

2.  Novel Approaches to Measure Spatial Release From Masking in Children With Bilateral Cochlear Implants.

Authors:  Z Ellen Peng; Ruth Y Litovsky
Journal:  Ear Hear       Date:  2022 Jan/Feb       Impact factor: 3.562

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.