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用于头带式助听器的阵列处理算法评估

Evaluation of array-processing algorithms for a headband hearing aid.

作者信息

Greenberg Julie E, Desloge Joseph G, Zurek Patrick M

机构信息

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

J Acoust Soc Am. 2003 Mar;113(3):1646-57. doi: 10.1121/1.1536624.

Abstract

Several array-processing algorithms were implemented and evaluated with experienced hearing-aid users. The array consisted of four directional microphones mounted broadside on a headband worn on the top of the listener's head. The algorithms included two adaptive array-processing algorithms, one fixed array-processing algorithm, and a reference condition consisting of binaural directional microphones. The algorithms were evaluated under conditions with both one and three independent noise sources. Performance metrics included quantitative speech reception thresholds and qualitative subject preference ratings for ease-of-listening measured using a paired-comparison procedure. On average, the fixed algorithm improved speech reception thresholds by 2 dB, while the adaptive algorithms provided 7-9-dB improvement over the reference condition. Subjects judging ease-of-listening generally preferred all array-processing algorithms over the reference condition. The results suggest that these adaptive algorithms should be evaluated further in more realistic acoustic environments.

摘要

研究人员对几种阵列处理算法进行了实现,并让有经验的助听器用户对其进行了评估。该阵列由四个定向麦克风组成,这些麦克风横向安装在佩戴在听众头顶的头带上。算法包括两种自适应阵列处理算法、一种固定阵列处理算法,以及一个由双耳定向麦克风组成的参考条件。这些算法在有一个和三个独立噪声源的条件下进行了评估。性能指标包括定量语音接收阈值,以及使用配对比较程序测量的关于聆听舒适度的定性主观偏好评级。平均而言,固定算法将语音接收阈值提高了2 dB,而自适应算法比参考条件提高了7 - 9 dB。判断聆听舒适度的受试者通常比参考条件更喜欢所有的阵列处理算法。结果表明,这些自适应算法应在更现实的声学环境中进一步评估。

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