Evidence-based hearing aid algorithms

Forfattere

  • Bert de Vries Algorithm R&D, GN ReSound, Eindhoven, The Netherlands, (www.bertdv.nl); Signal Processing Systems group, dept. E.E., Technical University Eindhoven, The Netherlands
  • Tjeerd Dijkstra Algorithm R&D, GN ReSound, Eindhoven, The Netherlands, (www.bertdv.nl); Signal Processing Systems group, dept. E.E., Technical University Eindhoven, The Netherlands
  • Alexander Ypma Algorithm R&D, GN ReSound, Eindhoven, The Netherlands, (www.bertdv.nl)
  • Jos Leenen Algorithm R&D, GN ReSound, Eindhoven, The Netherlands, (www.bertdv.nl)

Resumé

Hearing aid (HA) algorithms contain a large number of tuning parameters that need to be optimized with respect to the expected patient satisfaction. Here we report on a new fitting-engineering approach where patient measurements (audiogram, listening tests etc.) are transferred without loss of information to optimal values for HA tuning parameters. Our approach is rooted in Bayesian decision theory and takes properly account of inconsistencies in the measured patient data. The presented approach is envisioned to assist the experienced HA dispenser in the challenging task of tting a HA algorithm to a specific patient in a limited time.

Referencer

American National Standard Institute (ANSI-S3.5) (1997). “Methods for Calculation of the Speech Intelligibility Index.”

Bondy, J., Coughlin, M., Whitmer, B., and Dittberner, A. (2007). “Assessing sound quality of feedback algorithms with auditory models,” ISAAR 2007 conference, Helsingor, Denmark.

Bradley, R. A., and Terry, M. E. (1952). “Rank analysis of incomplete block designs. I. The method of paired comparisons,” Biometrika, 39, 324–345.

De Vries, B., Heskes,T. M., and Dijkstra, T. M. H. (2006). “Bayesian Incremental Utility Elicitation with Application to Hearing Aids Personalization,” Valencia/ISBA 8th World Meeting on Bayesian Statistics , Benidorm, Spain.

Dillon, H. (2001). “Hearing aids,” Boomerang Press, Australia. ISBN 1-58890-052-5.

Kates, J. M., and Arehart, K. H. (2004). “A metric for evaluating speech intelligibility and quality in hearing aids,” J. of the Acoust. Soc. of America, Volume 116, Issue 4, pp. 2536-2537.

Train, K. (2003). “Discrete choice models with simulation,” Cambridge University Press.

Yderligere filer

Publiceret

2007-12-15

Citation/Eksport

de Vries, B., Dijkstra, T., Ypma, A., & Leenen, J. (2007). Evidence-based hearing aid algorithms. Proceedings of the International Symposium on Auditory and Audiological Research, 1, 533–540. Hentet fra https://proceedings.isaar.eu/index.php/isaarproc/article/view/2007-53

Nummer

Årg. 1 (2007): Auditory Signal Processing in Hearing Impaired Listeners

Sektion

2007/6. Hearing-aid evaluation and optimization

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