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Related Experiment Video

Updated: Nov 6, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

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Personalizing Transient Noise Reduction Algorithm Settings for Cochlear Implant Users.

H Christiaan Stronks1, Annemijn L Tops1, Phillipp Hehrmann2

  • 1Department of Otorhinolaryngology, Leiden University Medical Center, Leiden, The Netherlands.

Ear and Hearing
|May 11, 2021
PubMed
Summary

Personalizing multiband transient noise reduction (TNRmb) significantly improved speech recognition for cochlear implant users in challenging noise. However, this benefit was lost at more favorable signal-to-noise ratios.

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Area of Science:

  • Audiology and Hearing Science
  • Biomedical Engineering
  • Signal Processing

Background:

  • Cochlear implant users experience significant difficulty understanding speech in noisy environments, particularly with transient noise.
  • Current noise reduction strategies, like transient noise reduction (TNR), offer potential but may not be optimally effective for all users.
  • Personalization of noise reduction settings could enhance speech intelligibility for individuals with cochlear implants.

Purpose of the Study:

  • To investigate the impact of personalizing transient noise reduction (TNR) algorithms on speech recognition in cochlear implant users.
  • To compare the effectiveness of personalized broadband (TNRbb) and multiband (TNRmb) TNR algorithms against a clinical standard.
  • To assess subjective benefits, including speech intelligibility, naturalness, listening effort, and annoyance, associated with personalized TNR.

Main Methods:

  • Fifteen unilaterally implanted subjects participated in tests using cafeteria noise (clattering dishes and babble).
  • Personalized TNRbb and TNRmb algorithms allowed individual adjustment of attenuation scaling and release time (τ).
  • Speech reception threshold (SRT) was adaptively measured; subjective ratings were collected at a fixed signal-to-noise ratio (SNR) of SRT + 3 dB.

Main Results:

  • Personalized TNRmb significantly improved SRT by 1.3 dB; personalized TNRbb significantly degraded SRT by 1.7 dB.
  • Group-based settings for TNRmb did not yield significant improvements in SRT.
  • No significant effects on subjective ratings or word correct scores were observed for any tested algorithm.

Conclusions:

  • Personalizing multiband TNR algorithms can significantly enhance speech intelligibility in transient noise under challenging listening conditions (near SRT).
  • The benefits of personalized TNRmb were not observed at more favorable SNRs (SRT + 3 dB).
  • Broadband TNR algorithms, including the clinical standard tested, did not significantly improve speech recognition, suggesting potential benefits from multiband approaches with personalization.