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Perceptual Reproduction of Spatial Sound Using Loudspeaker-Signal-Domain Parametrization

机译:使用扬声器信号域参数化对空间声音的感知再现

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Adaptive perceptual spatial sound reproduction techniques that employ a parametric model describing the properties of the sound field can reproduce spatial sound with high perceptual accuracy when compared to linear techniques. On the other hand, applying a sound-field model to control the reproduced sound may compromise the perceived quality of individual channels in cases where the model does not match the sound field. An alternative parametrization is proposed that estimates directly the perceptually relevant parameters for the target loudspeaker signals without modeling the sound field. At the synthesis stage, the loudspeaker signals with the target parametric properties are generated from the microphone signals with regularized leastsquares mixing and decorrelation. It is shown through listening experiments that the proposed method provides on average the overall perceived spatial sound reproduction quality of a state-of the-art parametric spatial sound reproduction technique, while solving the past shortcomings related to the perceived quality of the individual channels.
机译:与线性技术相比,采用描述声场特性的参数模型的自适应感知空间声音再现技术可以以高感知精度再现空间声音。另一方面,在模型与声场不匹配的情况下,应用声场模型控制再现的声音可能会损害各个通道的感知质量。提出了可替代的参数化,其直接估计目标扬声器信号的感知相关参数,而无需对声场建模。在合成阶段,具有正则化最小二乘法混合和去相关的麦克风信号会生成具有目标参数属性的扬声器信号。通过收听实验表明,所提出的方法平均提供了最先进的参数化空间声音再现技术的总体感知空间声音再现质量,同时解决了与各个通道的感知质量有关的过去缺点。

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