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Sound Localization and Separation in 3D Space Using a Single Microphone with a Metamaterial Enclosure.
Advanced Science ( IF 14.3 ) Pub Date : 2019-12-27 , DOI: 10.1002/advs.201902271
Xuecong Sun 1, 2 , Han Jia 1, 2, 3 , Zhe Zhang 1, 2 , Yuzhen Yang 1, 2 , Zhaoyong Sun 1 , Jun Yang 1, 2, 3
Affiliation  

Conventional approaches to sound localization and separation are based on microphone arrays in artificial systems. Inspired by the selective perception of the human auditory system, a multisource listening system which can separate simultaneous overlapping sounds and localize the sound sources in 3D space, using only a single microphone with a metamaterial enclosure is designed. The enclosure modifies the frequency response of the microphone in a direction-dependent manner by giving each direction a characteristic signature. Thus, the information about the location and the audio content of sound sources can be experimentally reconstructed from the modulated mixed signals using a compressive sensing algorithm. Due to the low computational complexity of the proposed reconstruction algorithm, the designed system can also be applied in source identification and tracking. The effectiveness of the system in multiple real-life scenarios is evaluated through multiple random listening tests. The proposed metamaterial-based single-sensor listening system opens a new way of sound localization and separation, which can be applied to intelligent scene monitoring and robot audition.

中文翻译:


使用带有超材料外壳的单个麦克风在 3D 空间中进行声音定位和分离。



传统的声音定位和分离方法基于人工系统中的麦克风阵列。受人类听觉系统选择性感知的启发,设计了一种多源聆听系统,该系统可以分离同时重叠的声音并在 3D 空间中定位声源,仅使用带有超材料外壳的单个麦克风。外壳通过为每个方向提供特征签名,以与方向相关的方式修改麦克风的频率响应。因此,可以使用压缩感知算法从调制混合信号中实验性地重建有关声源的位置和音频内容的信息。由于所提出的重建算法的计算复杂度较低,所设计的系统也可以应用于源识别和跟踪。通过多次随机聆听测试来评估系统在多个现实场景中的有效性。所提出的基于超材料的单传感器聆听系统开辟了声音定位和分离的新途径,可应用于智能场景监控和机器人试听。
更新日期:2019-12-27
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