Improving hearing-aid gains based on automatic speech recognition

J Acoust Soc Am. 2020 Sep;148(3):EL227. doi: 10.1121/10.0001866.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Hearing
  • Hearing Aids*
  • Hearing Loss, Sensorineural*
  • Humans
  • Speech Intelligibility
  • Speech Perception*