Methods of Extending a Generalized Sidelobe Canceller With External Microphones
Methods of Extending a Generalized Sidelobe Canceller With External Microphones
复制标题
使用外部麦克风扩展广义旁瓣消除器的方法
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
M. Moonen
中科院分区：
文献类型：
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作者：
Randall Ali;Giuliano Bernardi;Toon van Waterschoot;M. Moonen
虽然大量的降噪和语音增强可以通过将多个麦克风组织成阵列来实现，但在某些情况下，例如当麦克风间距非常接近时，它也可能非常有限。然而，这种退化可以通过将一个或多个外部麦克风（<inline-formula>< text -math notation="LaTeX">$\text{XM}$</ text -math></inline-formula>s）引入到与本地麦克风阵列（<inline-formula>< text -math notation="LaTeX">$\text{LMA}$</ text -math></inline-formula>）相同的物理空间中来解决。在本文中，将一个<inline-formula>< text -math符号="LaTeX">$\text{LMA}$</ text -math></inline-formula>基于广义旁叶消去器（<inline-formula>< text -math符号="LaTeX">$\text{gcs -LMA}$</ text -math></inline-formula>）扩展为多个<inline-formula>< text -math符号="LaTeX">$\text{XM}$</ text -math></inline-formula>)的三种方法，使得<inline-formula>< text -math的相对传递函数notation="LaTeX">$\text{LMA}$</ text -math></inline-formula>被视为<斜体>a priori</斜体>知识。其中两种方法涉及完成扩展块矩阵的过程，而第三种方法使用<inline-formula>< text -math符号="LaTeX">$\text{gcs - lma}$</ text -math></inline-formula>直接与<inline-formula>< text -math符号="LaTeX">$\text{XM}$</ text -math></inline-formula>信号的正交化版本进行语音估计，通过秩1广义特征值分解获得改进的语音估计。所有三种方法都用办公室的记录数据进行了评估，发现第三种方法可以提供最大的改进。还表明，在使用该方法时，来自<inline-formula>< text -math标记="LaTeX">$\text{gcs -LMA}$</ text -math></inline-formula>的语音估计没有受到影响，并且如果听众愿意，可以使用<inline-formula>< text -math标记="LaTeX">$\text{LMA}$</ text -math></inline-formula>和<inline-formula>< text -math标记="LaTeX">$\text{XM}$</ text -math></inline-formula>的语音估计。
While substantial noise reduction and speech enhancement can be achieved with multiple microphones organized in an array, in some cases, such as when the microphone spacings are quite close, it can also be quite limited. This degradation can, however, be resolved by the introduction of one or more external microphones (<inline-formula><tex-math notation="LaTeX">$\text{XM}$</tex-math></inline-formula>s) into the same physical space as the local microphone array (<inline-formula><tex-math notation="LaTeX">$\text{LMA}$</tex-math></inline-formula>). In this paper, three methods of extending an <inline-formula><tex-math notation="LaTeX">$\text{LMA}$</tex-math></inline-formula>-based generalized sidelobe canceller (<inline-formula><tex-math notation="LaTeX">$\text{GSC-LMA}$</tex-math></inline-formula>) with multiple <inline-formula><tex-math notation="LaTeX">$\text{XM}$</tex-math></inline-formula>s are proposed in such a manner that the relative transfer function pertaining to the <inline-formula><tex-math notation="LaTeX">$\text{LMA}$</tex-math></inline-formula> is treated as <italic>a priori</italic> knowledge. Two of these methods involve a procedure for completing an extended blocking matrix, whereas the third uses the speech estimate from the <inline-formula><tex-math notation="LaTeX">$\text{GSC-LMA}$</tex-math></inline-formula> directly with an orthogonalized version of the <inline-formula><tex-math notation="LaTeX">$\text{XM}$</tex-math></inline-formula> signals to obtain an improved speech estimate via a rank-1 generalized eigenvalue decomposition. All three methods were evaluated with recorded data from an office room and it was found that the third method could offer the most improvement. It was also shown that in using this method, the speech estimate from the <inline-formula><tex-math notation="LaTeX">$\text{GSC-LMA}$</tex-math></inline-formula> was not compromised and would be available to the listener if so desired, along with the improved speech estimate that uses both the <inline-formula><tex-math notation="LaTeX">$\text{LMA}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\text{XM}$</tex-math></inline-formula>s.
影响因子：
2.4
作者：
Kates, JM;Weiss, MR
通讯作者：
Weiss, MR