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首页> 外文会议>2016 IEEE International Workshop on Acoustic Signal Enhancement >On the evaluation of multichannel blind system identification from the viewpoint of system equalization
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On the evaluation of multichannel blind system identification from the viewpoint of system equalization

机译：从系统均衡的角度看多通道盲系统辨识的评估

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摘要

The normalized projection misalignment (NPM), which is a measure of blind system identification (BSI), is studied in the context of multichannel speech dereverberation. The NPM errors are convolved with the multichannel equalization filters, and the angle between vectors obtained from channel-wise NPM errors convolving with equalization filters is computed. The mean squared error (MSE), which is a measure of system equalization, is computed both channel-wise and in total. The NPM is compared with the total MSE. Statistical results show that the angle is always close to π for 2-channel systems, and the channels-wise MSE is higher the total MSE, because the channel-wise equalized errors cancel each other substantially when they sum up; though the difference between NPM and MSE is large, the peaks and valleys of them agree with each other well among different systems; the NPM results among different systems vary in a large range.
机译：在多通道语音去混响的背景下研究了归一化投影失准（NPM），它是对盲系统识别（BSI）的一种度量。 NPM误差与多通道均衡滤波器进行卷积，并计算从与均衡滤波器进行卷积的通道方式NPM误差获得的矢量之间的角度。均方误差（MSE）是系统均衡的量度，它是在通道方向和总体上进行计算的。将NPM与总MSE进行比较。统计结果表明，对于2通道系统，该角度始终接近π，并且通道方式的MSE高于总MSE，这是因为当它们进行求和时，通道方式的均等误差会互相抵消。尽管NPM和MSE之间的差异很大，但它们的峰值和谷值在不同系统之间彼此一致。不同系统之间的NPM结果差异很大。

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