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A solution of front-back confusion within binaural processing by an estimation method of sound source direction on sagittal coordinate

机译:通过矢状坐标上声源方向的估计方法解决双耳处理中的前后混淆

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摘要

There are many proposals for binaural processing models and their applications for a hearing assistance system. These models attracts attention because of their directional selectivity in frontal direction of user. Not only binaural models but also any of two-element array system have a well know ambiguity in front-back discrimination which is called as “front-back confusion” or called as “cone of confusion” in psychoacoustics. Recently it was found that spectral cue of sound provides keys to solve this confusion in binaural listening condition and it was also reported the peaks and notches of spectral components play main role to estimate the vertical angle in sagittal coordinate. In this paper, a new method to estimate sound source direction on sagittal coordinate is proposed in order to solve the front-back confusion. It is implemented on an artificial neural network using interaural level and phase differences as input. The results of simulation using a set of Head Related Transfer Function of dummy head show that the averaged estimation error in quadrant segmentation is less than 1.0% for various types of sound.
机译:对于双耳处理模型及其在助听系统中的应用,有很多建议。这些模型由于其在用户正面方向上的方向选择性而吸引了人们的注意。不仅双耳模型,而且两个元素的阵列系统中的任何一个在前后歧视方面都具有众所周知的模糊性,在心理声学中被称为“前后混乱”或称为“混乱锥”。最近发现,声音的频谱提示为解决双耳聆听条件中的这种混淆提供了关键,并且还报道了频谱分量的峰值和陷波在估计矢状坐标的垂直角中起主要作用。为了解决前后混淆,本文提出了一种在矢状坐标上估计声源方向的新方法。它是在人工神经网络上使用听觉水平和相位差作为输入来实现的。使用一组虚拟头部的头部相关传递函数进行的仿真结果表明,针对各种声音,象限分割中的平均估计误差小于1.0%。

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