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Iterative inverse filter relaxation algorithm for adaptation to acoustic fluctuation in sound reproduction system

机译:迭代逆滤波器松弛算法适应声音再现系统中的声学波动

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摘要

In this paper, we propose an adaptive relaxation algorithm for inverse filter design of the multichannel sound reproduction system. In the conventional multichannel sound reproduction system, a design method of inverse filter using Moore-Penrose generalized inverse matrix has been proposed. However, the inverse filter of the conventional method often amplifies background noise and line noise when the room transfer function changes. In order to resolve the problem, the adaptive relaxation algorithm based on Truncated Singular Value Decomposition (TSVD) method is introduced, in which the only one microphone to observe the noise condition is placed apart from listener's ears. The experimental result of the computer simulation reveals that the proposal method can prevent the noise amplifications. Also, the subjective evaluation in the real acoustic environment indicates the trade-off relation between the sound quality and the localization.
机译:在本文中,我们提出了一种自适应松弛算法,用于多声道声音再现系统的逆滤波器设计。在常规的多声道声音再现系统中,已经提出了使用Moore-Penrose广义逆矩阵的逆滤波器的设计方法。然而,当房间传递函数改变时,传统方法的逆滤波器经常放大背景噪声和线路噪声。为了解决该问题,介绍了一种基于截断奇异值分解(TSVD)方法的自适应松弛算法,该算法中,将唯一一个用来观察噪声情况的麦克风放在听众的耳边。计算机仿真实验结果表明,该方法可以防止噪声放大。同样,在真实声学环境中的主观评估表明了声音质量和本地化之间的权衡关系。

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