chordmic:分布式麦克风的声信号净化

Weiguo Wang, Jinming Li, Meng Jin, Yuan He
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引用次数: 2

摘要

声信号是许多系统的基本输入。然而,纯声信号很难提取,特别是在噪声环境中。现有的波束形成系统能够提取从特定方向传输的信号。然而,由于麦克风集中部署,这些系统的覆盖范围有限,空间分辨率低。我们克服了上述限制,提出了一种分布式波束形成系统chordmic。通过利用分布式麦克风的空间多样性,ChordMics能够从任意点提取声信号。为了实现这样的系统,我们进一步解决了分布式波束形成的基本挑战:对齐分布式和非同步麦克风捕获的信号。我们实现了chordmic并评估了它在LOS和NLOS两种场景下的性能。评价结果表明,chordmic比集中式麦克风阵列具有更高的信噪比。平均性能增益可达15dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChordMics: Acoustic Signal Purification with Distributed Microphones
Acoustic signal acts as an essential input to many systems. However, the pure acoustic signal is very difficult to extract, especially in noisy environments. Existing beamforming systems are able to extract the signal transmitted from certain directions. However, since microphones are centrally deployed, these systems have limited coverage and low spatial resolution. We overcome the above limitations and present ChordMics, a distributed beamforming system. By leveraging the spatial diversity of the distributed microphones, ChordMics is able to extract the acoustic signal from arbitrary points. To realize such a system, we further address the fundamental challenge in distributed beamforming: aligning the signals captured by distributed and unsynchronized microphones. We implement ChordMics and evaluate its performance under both LOS and NLOS scenarios. The evaluation results tell that ChordMics can deliver higher SINR than the centralized microphone array. The average performance gain is up to 15dB.
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