Single-channel multi-sound-source localization and separation device and method based on acoustic metamaterial

Abstract

The invention discloses a single-channel multi-sound-source localization and separation device based on an acoustic metamaterial. The single-channel multi-sound-source localization and separation device includes a metamaterial spherical shell, a microphone, a signal acquisition module and a signal processing module; the metamaterial spherical shell includes three layers of hemispheres with the same center of circle, a plurality of circular holes of different sizes are formed in the surface of each layer of the hemispheres, and no overlap exists between the circular holes; a plurality of horizontal partition boards and vertical partition boards are arranged between the layers; the metamaterial spherical shell is used for coding in a physical layer on signals in different directions from a three-dimensional space; the single-channel microphone is placed at the center of the spherical shell and is used for picking up signals modulated by the metamaterial spherical shell; the signal acquisition module is used for collecting output signals of the microphone; and the signal processing module is used for storing related parameters and dictionary obtained by training, and is further used for locating and separating the collected signals by using the related parameters and dictionary. The simultaneous acquisition of multi-channel data is not required, the system is simple, the portability is high, and operating and control are easier.

Description

technical field [0001] The invention relates to the field of sound source localization and separation, in particular to a single-channel multi-sound source localization and separation device and method based on acoustic metamaterials. Background technique [0002] In artificial systems, the traditional method of sound source localization and separation often requires the use of two or more microphones. The positioning and separation accuracy of this method is often limited by the physical size of the array and the number of microphones, which is not only inconvenient for installation and manipulation, The calculation cost of processing multi-channel signals is often too high, which makes it impossible to be applied in some special occasions. For many organisms such as humans, high-precision positioning and separation tasks can be completed only by relying on two ears, or even only one ear is needed. There are two main reasons for this difference: First, the human ear is not...

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Problems solved by technology

Moreover, the reconstruction algorithm used needs to build a dictionary in the complex number domain, not only needs to use an additional reference microphone in the signal acquisition stage, but also has a high computational complexity in the reconstruction process, resulting in poor real-time performance of the entire system

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