用于高级听力装置的神经模糊方法

R. Gao, Y. Liu, S. Basseas, L. Tsoukalas
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引用次数: 2

摘要

使用助听器的一个重要问题是估计具体的增益要求,即“目标”。传统的试错法效率低下。本文提出了一种神经模糊拟合助听器参数的方法。设计了神经网络生成初始目标,并利用模糊逻辑对初始目标进行微调。神经模糊方法的引入有望加速拟合过程。它还可以使听力学家将他们的知识纳入系统,使其适合特定需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurofuzzy approaches for advance hearing devices
An important issue in the use of hearing devices, is estimating the specific set of gains requirements, referred to as the "target". Conventional trial and error 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.
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