Preserving Auditory Cues for Human Echolocation Training: A Geometrical Acoustics Study Using a Benchmark Dataset (BRAS)

J. Karlberg, A. Milo, Finnur Pind, Runar Unnthorsson
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Abstract

Human echolocation is a method mainly used within the blind community to navigate using sound emission and analysing the returning echoes from the surrounding environment. Echolocation is predominantly trained by orientation and mobility instructors at visual rehabilitation centres. However, systematic guidelines or protocols focusing on the requirements of room acoustic simulations to accurately represent the auditory cues necessary in a virtual training environment for echolocation have not yet been developed. This paper sets out to investigate the use of geometrical acoustic (GA) calculations for a virtual echolocation training system comparing the measurements from the Benchmark for Room Acoustical Simulation (BRAS) dataset with other GA calculations outcomes. Three simple and one complex test scenes are chosen from the dataset. The calculation settings are optimised for each test scene considering the complexity of the scene, room volume and acoustic phenomena. The monaural room impulse responses from the simulations are analysed with respect to the timing of the reflections and the level relations between the reflections and the resulting frequency response for each scene. These are subsequently compared with each measured counterpart. The paper discusses the results, their limitations, and provides recommendations on the use of GA calculation tools for echolocation training scopes.
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为人类回声定位训练保留听觉线索:基于基准数据集(BRAS)的几何声学研究
人类回声定位是一种主要用于盲人群体的导航方法,利用声发射和分析来自周围环境的回波。回声定位主要由视力康复中心的定向和活动指导员进行培训。然而,目前还没有系统的指导方针或协议,重点关注室内声学模拟的要求,以准确地表示虚拟训练环境中回声定位所需的听觉线索。本文着手研究几何声学(GA)计算在虚拟回声定位训练系统中的使用,并将基准房间声学模拟(BRAS)数据集的测量结果与其他GA计算结果进行比较。从数据集中选择了三个简单和一个复杂的测试场景。考虑到场景的复杂性、房间体积和声学现象,计算设置针对每个测试场景进行了优化。从模拟的单耳房间脉冲响应中分析了反射的时间和反射与每个场景的频率响应之间的电平关系。随后将这些与每个测量的对应项进行比较。本文讨论了这些结果及其局限性,并提出了在回声定位训练范围中使用遗传算法计算工具的建议。
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