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Improved Approach to Stereophonic Channel Decorrelation based on missing fundamental theory

机译:基于缺失基础理论的立体声信道去相关方法

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Decorrelation is a well known issue in the context of Stereophonic Acoustic Echo Cancellation: it is related to the problem of uniquely identifying each pair of room acoustic paths, due to high interchannel coherence. This paper proposes an improvement to a previous work to decorrelate a stereo signal based on the missing fundamental phenomenon. An adaptive algorithm is employed to track the behavior of one of the two channels, ensuring a continuous decorrelation without affecting the stereo perception. The improvement is obtained through a constraint function, based on a sigmoid function, applied to the adaptive coefficient which controls the fundamental frequency estimation. Several results are presented, comparing our approach with a technique based on non linearity and the masked noise injection method. The comparison is done in terms of convergence speed improvement and subjective quality perception, in order to confirm the validity of the improved proposed approach.
机译:去序是立体声声学回声消除的背景下的众所周知的问题:由于高间隙相干性,它与唯一地识别每对房间声路径的问题有关。本文提出了对先前作品的改进,以基于缺失的基本现象去相关的立体声信号。采用自适应算法来跟踪两个通道之一的行为,确保连续去相关性而不影响立体声感知。通过基于SIGMOID函数的约束函数来获得改进,其应用于控制基本频率估计的自适应系数。提出了几种结果,比较了我们的方法与基于非线性度的技术和掩蔽噪声注入方法。比较在收敛速度提升和主观质量看法方面进行,以确认改进的提出方法的有效性。

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