Monolingual sound source DOA estimation method based on AVS and sparse representation

Abstract

The invention provides a monolingual sound source DOA estimation method based on an AVS and sparse representation. According to the method, the acoustic vector sensor is adopted to collect audio signals, high signal-to-noise ratio time frequency points are extracted by utilizing the trigonometric function relationship between the time frequency sparse characteristic of the voice signals and the receiving component of the AVS and adopting a sine track algorithm, and the ratio of data of a pressure gradient sensor to data of an all-around pressure sensor is calculated. On the basis, an over-complete dictionary sparse representation model for the ratio of data of the sensors is acquired through the spatial sparse characteristic of a sound source, and the monolingual sound source direction-of-arrival estimation problem is converted into a sparse vector solving problem. The sparse vector is solved with the l1-SVD method, the spatial power spectrum is calculated, and the DOA of the monolingual sound source can be obtained through calculation. The DOA of the monolingual sound source can be accurately estimated under conditions of different noise intensities and room reverberations with the method. Besides, a microphone array adopted for the method is small in size and only has the area of 1 cm<3>, and thus the method is very suitable for the voice technology for portable devices.

Description

technical field [0001] The invention relates to a monolingual sound source DOA estimation method based on AVS and sparse representation, and belongs to the technical field of human-computer voice interaction. Background technique [0002] Direction of Arrival (DOA) estimation of spatial speakers is a key technology of human-computer interaction for intelligent robots and has great application value. It has always been a research hotspot in the field of array signal processing. In the actual complex acoustic environment, when the microphone is collecting voice signals, it will inevitably be interfered by factors such as ambient noise, transmission medium noise, internal electrical noise of communication equipment, and room reverberation, so the quality of the acquired voice is degraded. The DOA technology based on the traditional microphone array has the limitations of large microphone array aperture, spatial aliasing, and high computational complexity, which limits the appli...

AI Technical Summary

Problems solved by technology

In the actual complex acoustic environment, when the microphone collects voice signals, it will inevitably be interfered by factors such as ambient noise, transmission medium noise, internal electrical noise of communication equipment, and room reverberation, so the quality of the acquired voice is degraded.

The DOA technology based on the traditional microphone array has the limitations of large microphone array aperture, spatial aliasing, and high computational complexity, which limits the application of this type of technology on small mobile devices (robots).

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