On-Line Relaxation Algorithm Applicable to Acoustic Fluctuation for Inverse Filter in Multichannel Sound Reproduction System
On-Line Relaxation Algorithm Applicable to Acoustic Fluctuation for Inverse Filter in Multichannel Sound Reproduction System
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DOI：
10.1093/ietfec/e88-a.7.1747
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
Y. Tatekura;Shigefumi Urata;H. Saruwatari;K. Shikano
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文献类型：
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作者：
Y. Tatekura;Shigefumi Urata;H. Saruwatari;K. Shikano
在本文中，我们提出了一种新的在线自适应松弛算法，用于多通道声音再现系统中的逆滤波器。房间传递函数的波动使逆滤波器的系数固定的传统声音再现系统中的再现声音劣化。为了解决这个问题，提出了一种通过截断奇异值分解（自适应 TSVD）执行逆滤波器的迭代松弛算法。然而，这种方法很难在原始信号中的语音或音乐的持续时间内应用。因此，我们将自适应 TSVD 扩展为一种基于仅一个控制点处的观测信号的在线型算法，用原始声音对观测信号进行归一化。使用真实环境数据的模拟结果表明，所提出的方法始终可以在任何持续时间内针对声波动执行弛豫过程。此外，真实声学环境中的主观评价表明，在不降低定位的情况下音质得到改善。
In this paper, we propose a new on-line adaptive relaxation algorithm for an inverse filter in a multichannel sound reproduction system. The fluctuation of room transfer functions degrades reproduced sound in conventional sound reproduction systems in which the coefficients of the inverse filter are fixed. In order to resolve this problem, an iterative relaxation algorithm for an inverse filter performed by truncated singular value decomposition (adaptive TSVD) has been proposed. However, it is difficult to apply this method within the time duration of the sound of speech or music in the original signals. Therefore, we extend adaptive TSVD to an on-line-type algorithm based on the observed signal at only one control point, normalizing the observed signal with the original sound. The result of the simulation using real environmental data reveals that the proposed method can always carry out the relaxation process against acoustic fluctuation, for any time duration. Also, subjective evaluation in the real acoustic environment indicates that the sound quality improves without degrading the localization.