Neurofuzzy Approaches for Advanced Hearing Devices

  • Authors:
  • R. Gao;Y. Liu;L. H. Tsoukalas;S. Basseas

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 1999

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Abstract

An important issue, in the user of hearing devices, is estimating specific set of gains requirements, referred to as "target". Conventional error-and-trial methods are inefficient. This paper presents a neurofuzzy approach for fitting hearing aid parameters. A neural network is designed to generate the initial target and fuzzy logic is used in fine-tuning the initial target. The introduction of the neurofuzzy approach is expected to accelerate the fitting process. It may also enable audiologists to incorporate their knowledge into the system and make it fit specific needs.