Improving hearing-aid gains based on automatic speech recognition

Lionel Fontan, Maxime Le Coz, Charlotte Azzopardi, Michael Stone, Christian Füllgrabe

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Abstract

This study provides proof of concept that automatic speech recognition (ASR)
can be used to improve hearing aid (HA) fitting. A signal-processing chain consisting of a HA simulator, a hearing-loss simulator, and an ASR system normalizing the intensity of input signals was used to find HA-gain functions yielding the highest ASR intelligibility scores for individual audiometric profiles of 24 listeners with age-related hearing loss.
Significantly higher aided speech intelligibility scores and subjective ratings of speech pleasantness were observed when the participants were fitted with ASR-established gains than when fitted with the gains recommended by the CAM2 fitting rule.
Original languageEnglish
Pages (from-to)EL227-EL233
Number of pages7
JournalThe Journal of the Acoustical Society of America
Volume148
Issue number3
DOIs
Publication statusPublished - 8 Sep 2020

Keywords

  • hearing aids
  • automatic speech recognition
  • fitting rule

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