An Embedded Multichannel Sound Acquisition System for Drone Audition
An Embedded Multichannel Sound Acquisition System for Drone Audition
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DOI：
10.1109/jsen.2023.3273330
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发表时间：
2021-01
影响因子：
4.3
通讯作者：
M. Clayton;Lin Wang;Andrew Mcpherson;A. Cavallaro
中科院分区：
文献类型：
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作者：
M. Clayton;Lin Wang;Andrew Mcpherson;A. Cavallaro
与单一麦克风的使用相比，麦克风阵列技术可以提高无人机的声传感性能。然而，在目前的商用无人机平台上，多通道声音采集系统是不可用的。我们提出了一个嵌入式多声道的声音采集和记录系统，八个麦克风安装在一个四轴飞行器上。该系统是基于音频处理嵌入式计算系统Bela开发的。该系统可以同时记录来自多个麦克风的声音，可以在本地存储数据供设备上处理，并且可以通过无线通信将多通道音频传输到地面终端进行远程处理。我们公开了系统的硬件和软件设计与开发的技术细节。我们实现了两种设置，将麦克风阵列放置在无人机身体的不同位置。我们介绍了最先进的无人机试听算法应用于无人机飞行的嵌入式系统所记录的声音的实验结果。结果表明，麦克风阵列的自我降噪性能随阵列位置和目标声音位置的不同而变化。这一观察结果为无人机试听的硬件开发提供了有价值的见解。
Microphone array techniques can improve the acoustic sensing performance of drones, compared with the use of a single microphone. However, multichannel sound acquisition systems are not available in current commercial drone platforms. We present an embedded multichannel sound acquisition and recording system with eight microphones mounted on a quadcopter. The system is developed based on Bela, an embedded computing system for audio processing. The system can record the sound from multiple microphones simultaneously, can store the data locally for on-device processing, and can transmit the multichannel audio via wireless communication to a ground terminal for remote processing. We disclose the technical details of the hardware and software design and development of the system. We implement two setups that place the microphone array at different locations on the drone body. We present experimental results obtained by the state-of-the-art drone audition algorithms applied to the sound recorded by the embedded system flying with a drone. It is shown that the ego-noise reduction performance achieved by the microphone array varies depending on the array placement and the location of the target sound. This observation provides valuable insights into hardware development for drone audition.