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Sector-Based Parametric Sound Field Reproduction in the Spherical Harmonic Domain

机译:球谐域中基于扇区的参量声场再现

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This papers presents a parametric method for perceptual sound field recording and reproduction from a small-sized microphone array to arbitrary loudspeaker layouts. The applied parametric model has been found to be effective and well-correlated with perceptual attributes in the context of directional audio coding, and here it is generalized and extended to higher orders of spherical harmonic signals. Higher order recordings are used for estimation of the model parameters inside angular sectors that provide increased separation between simultaneous sources and reverberation. The perceptual synthesis according to the combined properties of these sector parameters is achieved with an adaptive least-squares mixing technique. Furthermore, considerations regarding practical microphone arrays are presented and a frequency-dependent scheme is proposed. A realization of the system is described for an existing spherical microphone array and for a target loudspeaker setup similar to NHK 22.2. It is demonstrated through listening tests that, compared to a reference scene, the perceived difference is greatly reduced with the proposed higher order analysis model. The results further indicate that, on the same task, the method outperforms linear reproduction with the same recordings available.
机译:本文提出了一种用于从小型麦克风阵列到任意扬声器布局的感知声场记录和再现的参数方法。已经发现,在定向音频编码的情况下,所应用的参数模型是有效的并且与感知属性很好地相关,并且这里将其推广并扩展到更高阶的球谐信号。高阶记录用于估计角扇区内的模型参数,这些模型参数可同时增加信号源和混响之间的距离。根据这些扇区参数的组合属性的感知合成是通过自适应最小二乘混合技术实现的。此外,提出了有关实用麦克风阵列的考虑,并提出了一种频率相关方案。描述了针对现有球形麦克风阵列和类似于NHK 22.2的目标扬声器设置的系统实现。通过听力测试表明,与参考场景相比,使用建议的高阶分析模型可以大大减小感知到的差异。结果还表明,在相同任务上,该方法在可用相同记录的情况下优于线性再现。

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