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Downmix and coding of multichannel signals based on spatial correlation

机译:基于空间相关性的多通道信号缩混和编码

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In multichannel audio system, virtual sound source may be produced and rendered at arbitrary directions and locations so the multichannel signals are complicated. Parametric coding methods encode two or more channel signals into a downmix accompanied with spatial parameters, which can provide preferable compression ratio and considerable sound quality in multichannel audio coding. Due to the correlation between channels the signal redundancy in channels will be removed in the downmixing. However the downmixing of two uncorrelated channel signals will cause virtual sound aliasing and seriously decrease sound quality. A spatial virtual sound oriented correlation analysis method between channel signals is proposed to combine the highly correlated channels to groups for downmixing and parameters extracting. Both subjective and objective experimental results for sound quality and spatial orientation evaluation identify that the proposed dynamical grouping method for downmixing is superior to the fixed grouping method in MPEG Surround. The proposed analysis method of spatial correlation between channel signals has much lower computational complexity than the traditional direct computing of correlation and provides considerable accuracy.
机译:在多声道音频系统中,虚拟声源可以在任意方向和位置上产生和渲染,因此多声道信号很复杂。参数编码方法将两个或多个通道信号编码为带有空间参数的缩混,可以在多通道音频编码中提供较好的压缩率和可观的声音质量。由于通道之间的相关性,在缩混中通道中的信号冗余将被消除。但是,两个不相关的声道信号的缩混将导致虚拟声音混叠并严重降低声音质量。提出了一种在通道信号之间进行空间虚拟声音定向相关性分析的方法,将高度相关的通道组合到组中进行缩混和参数提取。声音质量和空间方向评估的主观和客观实验结果均表明,所提出的用于缩混的动态分组方法优于MPEG Surround中的固定分组方法。所提出的信道信号之间的空间相关性分析方法比传统的直接相关性计算方法具有较低的计算复杂度,并且具有相当高的准确性。

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