Noise Robust Direction of Arrival Estimation for Speech Source With Weighted Bispectrum Spatial Correlation Matrix
Noise Robust Direction of Arrival Estimation for Speech Source With Weighted Bispectrum Spatial Correlation Matrix
复制标题
加权双谱空间相关矩阵的语音源到达估计的噪声鲁棒方向
DOI：
10.1109/jstsp.2015.2416686
复制
发表时间：
2015-08
影响因子：
7.5
通讯作者：
Liang, Shan
中科院分区：
文献类型：
--
作者：
Xue, Wei;Liu, Wenju;Liang, Shan
环境噪声是鲁棒的语音波达方向（DOA）估计面临的一个重要挑战。在实际情况下，噪声可以是无方向的，也可以是从一个点源发出的。为了提高DOA估计在各种恶劣噪声环境下的可靠性，提出了一种新的DOA估计方法，其核心是“加权双谱空间相关矩阵（WBSCM）”。双谱是信号的一种高阶统计量，WBSCM反映了不同传声器间双谱相位差的空间相关性。由于高斯信号的高阶稳定性理论上为零，通过在双谱域中进行公式化，该方法对高斯噪声具有固有的优势。此外，嵌入在WBSCM中的BPD包含与语音源的DOA相关的冗余信息。这种冗余有助于提高非高斯噪声条件下的鲁棒性，特别是对于定向干扰场景。此外，WBSCM使双谱加权选择的语音单元的双谱，以突出这些单位的DOA估计的效果。与信噪比估计类似，提出了一种直接判决的方法来计算双谱权值。最后，提出了一种基于WBSCM特征值分析的DOA估计方法。我们在各种噪声环境下进行了实验，实验结果证明了该方法的有效性。
One big challenge to the robust direction of arrival (DOA) estimation for the speech source is the environmental noise. In practical conditions, the noise can be undirected or emitted from a pointed source. In order to improve the reliability of DOA estimation in various adverse noisy conditions, we propose a novel DOA estimation method in this paper, and what lies in the core in the method is the “Weighted Bispectrum Spatial Correlation Matrix (WBSCM).” The bispectrum is a kind of higher order statistics (HOS) of a signal, and the WBSCM reflects the spatial correlation of the bispectrum phase differences (BPD) between different microphones. As the HOS of the Gaussian signal is theoretically zero, by formulating in the bispectrum domain, the proposed method has an inherent advantage against the Gaussian noise. Moreover, the BPD, which is embedded in the WBSCM, contains the redundant information related to the DOA of the speech source. This redundancy helps to improve the robustness in non-Gaussian noise conditions, especially for the directional interference scenarios. In addition, the WBSCM enables bispectrum weighting to select the speech units in the bispectrum, in order to highlight the effect of these units in the DOA estimation. Similar to the signal-to-noise estimation, a decision-directed method is proposed to compute the bispectrum weights. Finally, a new DOA estimator is proposed, which is based on the eigenvalue analysis of the WBSCM. We conduct experiments under various kinds of noisy environments, and the experimental results demonstrate the effectiveness of proposed method.
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DOI：
10.1109/tsa.2004.833008
发表时间：
2004-09-01
期刊：
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
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期刊：
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影响因子：
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通讯作者：
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影响因子：
2.4
作者：
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通讯作者：
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DOI：
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发表时间：
2008-03
期刊：
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影响因子：
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通讯作者：
J. Benesty;Jingdong Chen;Yiteng Huang
DOI：
10.1109/tassp.1982.1163992
发表时间：
1982-12
期刊：
IEEE Transactions on Acoustics, Speech, and Signal Processing
影响因子：
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作者：
J. Ianniello
通讯作者：
J. Ianniello