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Effective utilisation of JND for spatial parameters quantisation in 3D multichannel audio

机译:有效利用JND进行3D多声道音频中的空间参数量化

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摘要

The features of just noticeable difference (JND) in human spatial perception are often used to remove the perceptual redundancy of spatial parameters in 3D multichannel audio. However in previous spatial parameters quantisation schemes, JND data are not effectively utilised resulting in either perceptual distortions of spatial images, or wastes of coding bitrates. It is proposed to effectively utilise azimuthal JND to design the quantisation codebook of spatial parameters azimuths, which divides the full circle of 360° to adjacent quantisation intervals, and set the endpoints of quantisation intervals according to JND of quantisation value. With presented scheme, quantisation codebook size has decreased 13 and 57%, respectively, compared with MPEG Surround and SLQP, as well as ignorable perceptual distortion induced.
机译:人类空间感知中的明显差异(JND)功能通常用于消除3D多通道音频中空间参数的感知冗余。然而,在先前的空间参数量化方案中,不能有效地利用JND数据,导致空间图像的感知失真或编码比特率的浪费。提出有效地利用方位角JND来设计空间参数方位角的量化码本,其将360°的整个圆划分为相邻的量化间隔,并且根据量化值的JND来设置量化间隔的端点。通过提出的方案,与MPEG Surround和SLQP相比,量化码本的大小分别减小了13%和57%,并且诱发了可忽略的感知失真。

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