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Auditory perception versus automatic estimation of location and orientation of an acoustic source in a real environment

机译:听觉感知与自动估计真实环境中声源的位置和方向

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摘要

In this work, the perception of the position and orientation of a directional acoustic source in a real enclosed environment by blindfolded listeners is investigated and compared with a method that automatically estimates the position and orientation of the source using a T-shaped microphone array. In the subjective experiment using blindfolded listeners, a human speaker acted as an acoustic source and listeners judged the speaker's facing angle (one out of four possible orientations shifted by 90°) and position after listening to a spoken sentence. This procedure was performed twice, before and after a training phase. In the training, listeners were allowed to remove the blindfold and verify the speaker's position and orientation. After the training, the correct orientation ratio increased from 75.0 to 76.5% and the average position error decreased from 66.2 to 60.6 cm. In addition, a subjective experiment on orientation estimation with eight orientations shifted by 45° in the same real environment showed that orientation estimation in a real environment was more difficult than that in an anechoic environment. Artificial neural networks (ANNs) were used in the automatic estimation method. A correct orientation ratio of 68.1% and an average position error of 48.0 cm were obtained by the T-shaped microphone array located nearest to the blindfolded listener among an array network consisting of eight T-shaped microphone arrays, enabling a rough comparison between human auditory perception and the automatic estimation method (a correct orientation ratio of 67% and a better average position error of 38.6 cm were the best results obtained by a T-shaped array in the network). It was clarified that the automatic estimation method cannot surpass the auditory system in terms of correct orientation ratio; however, it yielded better results in terms of the average position error.
机译:在这项工作中,研究人员对蒙住双眼的听众在真实封闭环境中对定向声源的位置和方向的感知进行了研究,并将其与使用T形麦克风阵列自动估算声源的位置和方向的方法进行了比较。在使用蒙住眼睛的听众进行的主观实验中,人类说话者充当了声源,听者在听了一个语音句子之后判断了说话者的面对角度(四个可能的方位中的一个偏移了90°)和位置。该过程在训练阶段之前和之后执行了两次。在培训中,允许听众移开眼罩并验证说话者的位置和方向。训练后,正确的定向比从75.0增大到76.5%,平均位置误差从66.2 cm减小到60.6 cm。另外,在相同的真实环境中对八个方向偏移45°的方向估计进行的主观实验表明,与无声环境相比,真实环境中的方向估计更加困难。人工神经网络(ANN)用于自动估算方法。在由八个T形麦克风阵列组成的阵列网络中,最靠近被蒙住眼睛的听众的T形麦克风阵列获得了正确的68.1%的定向比和48.0 cm的平均位置误差,从而可以粗略比较人类听觉感知和自动估计方法(正确的定向比为67%,较好的平均位置误差为38.6 cm,这是通过网络中的T形阵列获得的最佳结果)。阐明了自动估计方法在正确的定向比方面不能超过听觉系统;但是,就平均位置误差而言,它产生了更好的结果。

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