Autodirective audio capturing through a synchronized smartphone array

Sanjib Sur, Teng Wei, Xinyu Zhang
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引用次数: 37

Abstract

High-quality, speaker-location-aware audio capturing has traditionally been realized using dedicated microphone arrays. But high cost and lack of portability prevents such systems from being widely adopted. Today's smartphones are relatively more convenient for audio recording, but the audio quality is much lower in noisy environment and speaker location cannot be readily obtained. In this paper, we design and implement Dia, which leverages smartphone cooperation to overcome the above limitations. Dia supports spontaneous setup, by allowing a group of users to rapidly assemble an array of smartphones to emulate a dedicated microphone array. It employs a novel framework to accurately synchronize the audio I/O clocks of the smartphones. The synchronized smartphone array further enables autodirective audio capturing, i.e., tracking the speaker's location, and beamforming the audio capturing towards the speaker to improve audio quality. We implement Dia on a testbed consisting of 8 Android phones. Our experiments demonstrate that Dia can synchronize the microphones of different smartphones with sample-level accuracy. It achieves high localization accuracy, and similar beamforming performance compared with a microphone array with perfect synchronization.
自动指令音频捕获通过一个同步的智能手机阵列
传统上,高质量的扬声器位置感知音频捕获是使用专用麦克风阵列实现的。但是高昂的成本和缺乏可移植性阻碍了这种系统的广泛采用。如今的智能手机录音相对方便,但在嘈杂的环境下,音频质量要低得多,而且无法轻易获得扬声器的位置。在本文中,我们设计并实现了Dia,它利用智能手机的合作来克服上述限制。Dia支持自发设置,允许一组用户快速组装一组智能手机来模拟专用麦克风阵列。它采用了一种新颖的框架来精确同步智能手机的音频I/O时钟。同步智能手机阵列进一步实现自动指令音频捕获,即跟踪扬声器的位置,并对扬声器进行音频捕获波束形成以提高音频质量。我们在一个包含8部Android手机的测试平台上执行Dia。我们的实验表明,Dia可以以样本级的精度同步不同智能手机的麦克风。与同步性能良好的传声器阵列相比,具有较高的定位精度和相似的波束形成性能。
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