Automatic volume settings for environment sensitive hearing aids

Q4 Physics and Astronomy
R. Rahal, W. Gueaieb, C. Giguère, H. Othman
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引用次数: 3

Abstract

A study was conducted to demonstrate the automatic adjustment of the hearing aid control settings to minimize the need for manual user interventions. The proposed system was based on computational intelligence tools, such as artificial neural networks and neurofuzzy systems. These systems had the ability to learn the dynamics of highly nonlinear system without the need for having specific knowledge of their mathematical models. These techniques were adopted to map the acoustic features to the desired volume setting of the hearing aid user. A multilayer perceptron (MLP) and an adaptive network-based fuzzy inference system (ANFIS) were analyzed as two computational intelligence tools on three simulated users. These simulated users were suffering from moderate, severe, and profound hearing losses.
环境敏感型助听器的自动音量设置
进行了一项研究,以证明助听器控制设置的自动调节,以尽量减少手动用户干预的需要。提出的系统是基于计算智能工具,如人工神经网络和神经模糊系统。这些系统有能力学习高度非线性系统的动力学,而不需要对其数学模型有专门的了解。采用这些技术将声学特征映射到助听器用户所需的音量设置。将多层感知器(MLP)和基于自适应网络的模糊推理系统(ANFIS)作为两种计算智能工具对三个模拟用户进行了分析。这些模拟使用者患有中度、重度和重度听力损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Canadian Acoustics - Acoustique Canadienne
Canadian Acoustics - Acoustique Canadienne Physics and Astronomy-Acoustics and Ultrasonics
CiteScore
0.50
自引率
0.00%
发文量
1
期刊介绍: The CAA is the professional, interdisciplinary organization that : - fosters communication among people working in all areas of acoustics in Canada - promotes the growth and practical application of knowledge in acoustics - encourages education, research, protection of the environment, and employment in acoustics - is an umbrella organization through which general issues in education, employment and research can be addressed at a national and multidisciplinary level
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