• Corpus ID: 204785216

Effects of personalizing hearing-aid parameter settings using a real-time machine-learning approach

  title={Effects of personalizing hearing-aid parameter settings using a real-time machine-learning approach},
  author={Niels S{\o}gaard Jensen and Laura Winther Balling and Jens Brehm Nielsen},
In most hearing-aid fittings, amplification is prescribed by a fitting rationale that uses the audiogram as the main input. This approach may fail in situations where the user’s listening intention deviates from that assumed by the rationale. This shortcoming motivated a new commercially available method to self-adjust hearing-aid parameters while in a specific situation. The method is based on machine-learning algorithms that estimate the setting that optimizes user satisfaction based on user… 

Figures from this paper


Perceptual Effects of Adjusting Hearing-Aid Gain by Means of a Machine-Learning Approach Based on Individual User Preference
The results showed that the adjustment method provided a general improvement of Basic Audio Quality, an improvement of Listening Comfort in a traffic-noise scenario but not in three scenarios with speech babble, and no significant improvement of Speech Clarity.
Perception-Based Personalization of Hearing Aids Using Gaussian Processes and Active Learning
An interactive hearing-aid personalization system is proposed that obtains an optimal individual setting of the hearing aids from direct perceptual user feedback and may have potential for clinical usage to assist both the hearing-care professional and the user.
Application of Paired-Comparison Methods to Hearing Aids
An overview of the theoretical principle supporting this procedure, the various paired-comparison strategies and associated approaches, the advantages of this method, and recommended procedures for implementing the method of paired comparisons in the fitting of today’s sophisticated hearing aids are presented.
Evaluation of auditory reality and hearing aids using an ecological momentary assessment ( EMA ) approach
Knowledge about the acoustic environments experienced by an individual and how the listening experience is affected by hearing loss and hearing aids is important when developing solutions for people
Recording and classification of the acoustic environment of hearing aid users.
The different acoustic signals that hearing aid users are exposed to in their everyday environment are investigated to show that the importance, problems, and hearing aid benefit as well as the acoustic characteristics of the individual situations vary a lot across subjects.
Common Sound Scenarios: A Context-Driven Categorization of Everyday Sound Environments for Application in Hearing-Device Research.
A structured framework of common sound scenarios (CoSS) that can be used when developing hearing-device signal-processing features, in the evaluation of such features in realistic laboratory tests, and for demonstration of feature effects to hearing- Device wearers is developed.
Evaluation of the Self‐Fitting Process with a Commercially Available Hearing Aid
Although the majority of participants were able to complete the self‐fitting task without error, the provision of knowledgeable support by trained personnel, rather than a fellow layperson, would most certainly increase the proportion of users who are able to achieve success.
A "Goldilocks" Approach to Hearing-Aid Self-Fitting: User Interactions.
This approach to hearing-aid self-fitting can be a speedy, reliable, and feasible alternative to, or supplement to, conventional fitting procedures, but many questions remain to be answered.
Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility
The current study used the self-fitting algorithm to allow listeners to self-adjust hearing-aid gain or compression parameters to select gain for speech understanding in a variety of quiet and noise conditions, indicating individual listeners have consistent preferences for gain.
Relative satisfaction for frequency responses selected with a simplex procedure in different listening conditions.
  • F. Kuk, N. Pape
  • Physics
    Journal of speech and hearing research
  • 1993
The Simplex procedure may be useful for selecting preferred frequency responses for some hearing aid wearers, according to elderly subjects with impaired hearing, who showed differential preference across the available frequency responses.