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Influence of MEMS Microphone Imperfections on the Performance of First-Order Adaptive Differential Microphone Arrays

机译:MEMS麦克风缺陷对一阶自适应差分麦克风阵列性能的影响

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In many speech applications the desired speaker is in the far field, i.e. in teleconferencing, hearing aids, hands-free communication in cars, home voice control, just to name a few. To still capture a clean speech signal in a noisy surrounding an acoustic beamformer can be used. Differential microphone arrays (DMAs) allow for compact microphone arrangements and show a reasonable speech enhancement performance. For an optimal performance the microphones used in the array have to be perfectly matched. In this paper, we investigate the effect of the microphone mismatch on the performance of first-order adaptive DMAs, given model data from state-of-the-art micro-electro-mechanical systems (MEMS) microphones. As an important outcome, our simulations show that the performance becomes independent of the mismatch with an increasing number of microphones used.
机译:在许多语音应用中,期望的讲话者在远距离领域,即在电话会议,助听器,汽车中的免提通信,家庭语音控制中,仅举几例。为了在嘈杂的周围仍然捕获干净的语音信号,可以使用声束形成器。差分麦克风阵列(DMA)允许紧凑的麦克风布置,并显示合理的语音增强性能。为了获得最佳性能,阵列中使用的麦克风必须完美匹配。在本文中,我们从最新的微机电系统(MEMS)麦克风给出模型数据,研究了麦克风失配对一阶自适应DMA性能的影响。作为重要的结果,我们的仿真表明,随着使用的麦克风数量的增加,性能变得与不匹配无关。

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