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Evaluation of a Transient Noise Reduction Algorithm in Cochlear Implant Users.

Karl-Heinz Dyballa1, Phillipp Hehrmann2, Volkmar Hamacher2

  • 1Department of Otolaryngology, Hannover Medical School and Cluster of Excellence Hearing4all , Hannover, Germany.

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|January 19, 2016
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Summary

A new digital noise reduction (DNR) algorithm significantly improves speech clarity for cochlear implant (CI) users by better handling impulsive noises. This advancement enhances listening experiences without negatively impacting speech perception in quiet environments.

Keywords:
cochlear implantimpulsive noisenoise reductionspeech intelligibilitytransient

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Area of Science:

  • Audiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Environmental noise poses significant challenges for cochlear implant (CI) users.
  • Existing digital noise reduction (DNR) algorithms struggle with impulsive noises like clinking glasses or slamming doors.
  • Impulsive noises are characterized by rapid onsets and quick decay, making them difficult for current DNR systems.

Purpose of the Study:

  • To investigate the effectiveness of a novel DNR algorithm specifically designed for impulsive noises.
  • To evaluate the impact of this algorithm on speech perception and subjective listening quality in CI users.
  • To determine if the algorithm improves speech reception in noise without compromising speech clarity in quiet.

Main Methods:

  • A cohort of 12 cochlear implant users (age range: 45-75 years) participated in the study.
  • Speech scores in both noisy and quiet conditions were measured.
  • Subjective ratings for speech clarity, comfort, and overall preference were collected.
  • The performance of the new DNR algorithm was assessed using these metrics.

Main Results:

  • A significant improvement of up to 1.7 dB in the speech reception threshold in noise was observed.
  • CI users reported increased speech clarity when using the new DNR algorithm.
  • Speech perception in quiet environments was not negatively affected by the algorithm.
  • Subjective ratings indicated a potential benefit for CI listening.

Conclusions:

  • The tested DNR algorithm shows promise for enhancing the listening experience of cochlear implant users, particularly in environments with impulsive noises.
  • The algorithm effectively improves speech reception in noise and subjective clarity.
  • Further research is warranted to fully understand its real-world effectiveness and suitability for daily use by CI recipients.