Blind Source Separation Based on Rotation of Joint Distribution Without Inversion of Positive and Negative Sign
Blind Source Separation Based on Rotation of Joint Distribution Without Inversion of Positive and Negative Sign
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DOI：
10.12792/iciae2019.044
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
Masato Iikawa;T. Ishibashi
中科院分区：
文献类型：
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作者：
Masato Iikawa;T. Ishibashi
本文提出了一种基于麦克风观测混合信号联合分布旋转的盲源分离方法。我们之前的方法可以仅使用观测到的信号信息来分离声源。分离方法在某些情况下存在符号反转问题。该问题意味着估计信号的正负号颠倒了。在使用人类语音从开始到结束的信号的情况下，估计信号的符号不是大问题。然而，在短时间帧处理的情况下，分离信号的接合点处的符号反转成为大问题。因此，我们提出了一种新的分离方法，无需估计信号正负号的不确定性。
This paper proposes a blind source separation method based on rotation of a joint distribution of observed mixture signals with microphones. Our previous method can separate the sound sources using only the information of observed signals. The separation method has sign inversion problem in some cases. The problem means that the positive and negative signs of the estimated signal are inverted. In the case of using the signal from the start to the end of the human speech, the sign of the estimated signal is not a big problem. However, in the case of short-time frame processing, inversion of a sign at the junction point of the separated signal becomes a big problem. Therefore, we propose a new separation method without indeterminacy of positive and negative sign of the estimated signal.