Detection of user's body movement for binaural hearing aids to control of directivity

Y. Chisaki, Shogo Tanaka, T. Usagawa
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引用次数: 2

Abstract

Estimation of sound source directions and separation of the sound sources are implemented on many products widely, and one of the applications is binaural hearing aids. In conversation using binaural hearing aids, continuous tracking of sound sources with acoustics signals are sometimes complicated because sound sources move dynamically. In order to make the tracking of sound sources simple, it is considered to be helpful to use non-verbal information in communication. Since user's body movement, including a head, corresponds to speakers' positions, it is possible to estimate communication zone where sound sources locate by the head direction. In this paper, a head movement in conversation, as non-verbal information in communication, is focused, and two zone detection methods are discussed. A rotational angle of head movement is estimated by both acceleration by an accelerometer and angular velocity by angular velocity sensor which is attached to left ear position. The classification of spatial communication zone is performed by two methods, the threshold method and the support vector machine (SVM). As the results, performance on estimation of the target direction by the threshold-based method was slightly better than that by the SVM-based method.
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检测使用者的身体运动,用于双耳助听器的指向性控制
声源方向估计和声源分离在许多产品上得到了广泛的应用,双耳助听器就是其中的一个应用。在使用双耳助听器的对话中,由于声源是动态移动的,因此用声学信号连续跟踪声源有时会很复杂。为了使声源的追踪变得简单,人们认为在交际中使用非语言信息是有帮助的。由于用户的身体运动,包括头部,与说话者的位置相对应,因此可以通过头部方向估计声源所在的通信区域。本文以会话中的头部运动作为交际中的非言语信息为研究对象,讨论了两种区域检测方法。头部运动的旋转角度由加速度计的加速度和附着在左耳位置的角速度传感器的角速度来估计。采用阈值法和支持向量机(SVM)两种方法对空间通信区域进行分类。结果表明,基于阈值的方法对目标方向的估计性能略优于基于支持向量机的方法。
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