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

Abstract

The invention discloses a single-channel multi-sound source localization and separation device based on acoustic metamaterials, comprising: a metamaterial spherical shell, a microphone, a signal acquisition module, and a signal processing module; the metamaterial spherical shell includes three concentric layers The surface of each hemisphere is provided with a plurality of round holes of different sizes, and there is no overlap between the round holes; several horizontal and vertical partitions are arranged between each layer; the metamaterial spherical shell is used for Signals in different directions in three-dimensional space are encoded at the physical layer; the single-channel microphone is placed at the center of the spherical shell; it is used to pick up signals modulated by the metamaterial spherical shell; the signal acquisition module is used to output the microphone The signal is collected; the signal processing module is used for storing relevant parameters and dictionaries obtained through training, and is also used for locating and separating the collected signals by using the relevant parameters and dictionaries. The device of the invention does not require synchronous collection of multi-channel data, the system is simple, the portability is stronger, and it is easier to control.

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...

AI Technical Summary

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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