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Optimal Mixing Matrices and Usage of Decorrelators in Spatial Audio Processing

机译:空间音频处理中最佳混合矩阵和解相关器的用法

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In perceptual processing of spatial audio, a typical assumption is that the spatial aspect of a loudspeaker-reproduced sound is determined especially by the energies and the time-aligned dependencies of the audio channels, which are expressed by the real part of the signal covariance matrix, in perceptual frequency bands. In this paper, we propose a generally applicable method to robustly process spatial sound in this domain. This includes an adaptive mixing solution to reach the given target covariance matrix by best usage of the independent components in the input channels, and means to inject the necessary amount of decorrelated sound energy when the target is not achieved otherwise. The method was implemented as a part of a perceptually motivated spatial microphone technique, and numerous further use cases have been identified.
机译:在空间音频的感知处理中,典型的假设是扬声器再现的声音的空间方面尤其取决于音频通道的能量和时间对齐的依存关系,这些依存关系由信号协方差矩阵的实部表示,在感性频带中。在本文中,我们提出了一种普遍适用的方法来在此域中稳健地处理空间声音。这包括通过最佳利用输入通道中独立分量来达到给定目标协方差矩阵的自适应混合解决方案,以及在没有达到目标时注入必要量的去相关声能的装置。该方法被实现为感知动机的空间麦克风技术的一部分,并且已经确定了许多其他用例。

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