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Compensation of unmasking noise for scalable transmission of three-dimensional multichannel sound

机译:补偿遮蔽噪声,可扩展传输三维多声道声音

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Even if three-dimensional multichannel sound becomes available in broadcasting, backward compatibility to conventional sound systems will be necessary. There are two transmission formats that can achieve this requirement. One is the simulcast format, and the other is the channel-scalable format. Although the channel-scalable format is advantageous over the simulcast format in terms of the required data rate, the unmasking artifact cannot be avoided when matrix operations are used to realize scalability. To solve this problem, this paper proposes a novel approach that models the quantization noise signal with a polynomial expansion of a decoded signal and removes it from the decoded signal. A subjective evaluation revealed that the proposed method can alleviate the unmasking artifact in the scalable coding of 8.1- and 22.2-channel audio signals.
机译:即使在广播中可以使用三维多声道声音,也需要与常规声音系统向后兼容。有两种传输格式可以满足此要求。一种是联播格式,另一种是频道可缩放格式。尽管就所需的数据速率而言,可信道缩放的格式优于联播格式,但是当使用矩阵运算实现可缩放性时,无法避免出现非掩盖伪像。为了解决这个问题,本文提出了一种新颖的方法,该方法利用对解码信号进行多项式扩展来对量化噪声信号进行建模,并将其从解码信号中去除。主观评估表明,所提出的方法可以减轻8.1声道和22.2声道音频信号的可伸缩编码中的非掩盖伪影。

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