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Audio Signal Decorrelation Based on Reciprocal-Maximal Length Sequence Filters and Its Applications to Spatial Sound

机译:基于互惠最大长度序列滤波器及其在空间声音的应用中的音频信号去相关性

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An algorithm of audio signal decorrelation is proposed. The algorithm is based on a pair of all-pass filters whose responses match with a pair of reciprocal maximal length sequences (MLSs). Taking advantage of the characters of uniform power spectrum and low-valued cross-correlation of reciprocal MLSs, the filters create a pair of output signals with low cross-correlation but almost identical magnitude spectra to the input signal. The proposed algorithm is applied to broadening the auditory source-width and enhancing subjective envelopment in multichannel sound reproduction. Preliminary psychoacoustic experiments validate the performance of the proposed algorithm.
机译:提出了一种音频信号去相关算法。该算法基于一对全通滤波器,其响应与一对倒数最大长度序列(MLS)匹配。利用均匀功率谱的特性和往复式MLS的低值互相关,滤波器产生具有低互相关但几乎相同的幅度谱的一对输出信号。所提出的算法应用于扩大听觉源宽,增强多通道声音再现的主观包络。初步心理声学实验验证了所提出的算法的性能。

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