Multiple far noise suppression in a real environment using transfer-function-gain NMF
Multiple far noise suppression in a real environment using transfer-function-gain NMF
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DOI：
10.23919/eusipco.2017.8081623
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发表时间：
2017-08
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影响因子：
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通讯作者：
Yutaro Matsui;S. Makino;Nobutaka Ono;Takeshi Yamada
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文献类型：
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作者：
Yutaro Matsui;S. Makino;Nobutaka Ono;Takeshi Yamada
传统的基于阵列信号处理的噪声抑制方法利用相位信息，控制噪声的方向性。然而，这些方法很难抑制所谓的背景噪声，其到达方向无法指定。因此，已经提出了基于传递函数增益非负矩阵分解（NMF）的多重远噪声抑制作为可以抑制这种背景噪声的方法。它的有效性已经通过使用卷积混合的实验模拟得到证实;然而，它尚未被验证在真实的环境中是否实用。因此，在本文中，我们研究这种方法的性能，通过记录目标和多个远噪声与异步麦克风在真实的环境中。我们证实，这种方法可以抑制远噪声在真实的环境中的麦克风和干扰源之间的距离不同。
Conventional noise suppression methods based on array signal processing use phase information and control the directivity of noises. However, such methods can hardly suppress so-called background noise, whose arrival direction cannot be specified. Thus, multiple far noise suppression based on transfer-function-gain non-negative matrix factorization (NMF) has been proposed as a method that can suppress such background noise. Its effectiveness has been confirmed by an experimental simulation using convolutional mixtures; however, it has not been verified that it is practical in a real environment. Thus, in this paper, we examine the performance of this method by recording a target and multiple far noises with asynchronous microphones in a real environment. We confirm that this method can suppress far noises in a real environment with diverse distances between microphones and interference sources.