Salehi Haniyeh, Parsa Vijay, Folkeard Paula
Electrical and Computer Engineering.
National Centre for Audiology, University of Western Ontario, London, Ontario, Canada.
Audiol Res. 2018 Apr 17;8(1):204. doi: 10.4081/audiores.2018.204. eCollection 2018 Mar 6.
Wireless remote microphones (RMs) transmit the desired acoustic signal to the hearing aid (HA) and facilitate enhanced listening in challenging environments. Fitting and verification of RMs, and benchmarking the relative performance of different RM devices in varied acoustic environments are of significant interest to Audiologists and RM developers. This paper investigates the application of instrumental speech intelligibility and quality metrics for characterizing the RM performance in two acoustic environments with varying amounts of background noise and reverberation. In both environments, two head and torso simulators (HATS) were placed 2 m apart, where one HATS served as the and the other served as the . Four RM systems were interfaced separately with a HA programmed to match the prescriptive targets for the standard audiogram and placed on the listener HATS. The HA output in varied acoustic conditions was recorded and analyzed offline through computational models predicting speech intelligibility and quality. Results showed performance differences among the four RMs in the presence of noise and/or reverberation, with one RM exhibiting significantly better performance. Clinical implications and applications of these results are discussed.
无线远程麦克风(RMs)将所需的声学信号传输到助听器(HA),并有助于在具有挑战性的环境中增强听力。听力学家和RM开发者对RM的适配与验证,以及在不同声学环境中对不同RM设备的相对性能进行基准测试非常感兴趣。本文研究了仪器语音清晰度和质量指标在两种具有不同背景噪声和混响量的声学环境中表征RM性能的应用。在这两种环境中,两个头部和躯干模拟器(HATS)相距2米放置,其中一个HATS作为声源,另一个作为听者。四个RM系统分别与一个编程以匹配标准听力图规定目标的HA连接,并放置在听者HATS上。通过预测语音清晰度和质量的计算模型离线记录和分析在不同声学条件下的HA输出。结果表明,在存在噪声和/或混响的情况下,四个RM之间存在性能差异,其中一个RM表现出明显更好的性能。讨论了这些结果的临床意义和应用。