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Related Experiment Video

Updated: Jun 23, 2026

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
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Improvements in Pediatric Speech Perception in Noise Using Classifier-Based Noise Management.

Ursula M Findlen1,2, Alecia Jayne1, Jason Benedict3

  • 1Department of Audiology, Division of Clinical Therapies, Nationwide Children's Hospital, Columbus, OH.

American Journal of Audiology
|January 6, 2026
PubMed
Summary

Classifier-based noise management significantly improved speech perception in pediatric cochlear implant (CI) users. This technology enhances listening ease and clarity for children in noisy environments.

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Area of Science:

  • Audiology
  • Speech-Language Pathology
  • Biomedical Engineering

Background:

  • Pediatric cochlear implantation (CI) aims to restore hearing.
  • Managing background noise is crucial for speech perception in children with CIs.
  • Existing noise management strategies may not fully address the challenges faced by pediatric CI users.

Purpose of the Study:

  • To evaluate the effectiveness of the AutoSense Sky OS 3.0 classifier-based noise management algorithm.
  • To compare speech perception in noise for pediatric CI recipients using the algorithm versus standard omnidirectional mode.
  • To compare the performance of pediatric CI recipients with typically hearing peers.

Main Methods:

  • Prospective observational study with nine pediatric CI recipients and nine typically hearing peers (ages 9-15).
  • Speech perception measured using Pediatric AzBio sentences at four signal-to-noise ratios (SNRs).
  • Comparison between omnidirectional microphone mode and classifier-based noise management mode; subjective ratings of listening ease and clarity collected.

Main Results:

  • Classifier-based noise management significantly improved speech perception in noise for pediatric CI recipients.
  • Improvements of 21.4 and 47.1 percentage points were observed at 0 dB and -5 dB SNR, respectively.
  • Subjective reports indicated enhanced listening ease and speech clarity with the algorithm.

Conclusions:

  • Pediatric CI recipients benefit from classifier-based noise management (AutoSense Sky OS 3.0).
  • Audiologists should consider activating this technology for pediatric CI users, especially for classroom listening.
  • Improved noise management can enhance educational and social participation for children with CIs.