A Data-Matched Stereo Field Reconstruction Method Guided by Spherical Allocation

Abstract

According to a spherical distribution guided data matching stereo field reconstruction method provided by the invention, the principle that an omnidirectional microphone array accurately collects andreconstructs high-order spherical harmonic term components of a sound field is adopted, the spherical distribution based data matching stereo field reconstruction method is provided, and the method isdivided into a stereo field collection stage and a stereo field reconstruction stage. Comparison experiments with a grid distribution method show that when the signal frequency is 1kHz, the number ofspherical distribution matching points is reduced by 56.2%; the reconstruction average error is reduced by 44.3%; by adopting the spherical surface to distribute the matching points, the reconstruction performance of the stereo field is greatly improved, the number of the matching points is reduced, the problem of irreversibility of a matrix in grid distribution is fundamentally solved, and a newand better matching point selection scheme is provided for reconstructing the stereo field by applying data matching.

Description

technical field [0001] The invention relates to a data matching stereo field reconstruction method, in particular to a data matching stereo field reconstruction method guided by spherical surface allocation, and belongs to the technical field of stereo field reconstruction methods. Background technique [0002] Stereo audio technology has received extensive attention in recent years, and has gradually moved from large screens to small viewing environments such as homes and personal mobile terminals. Compared with mono, stereo has a sense of orientation and distribution of each sound source, which improves the clarity and intelligibility of information, and improves the presence, layering and transparency of audio. The rapid development of stereo audio and video technology is inseparable from the rapid development of the economy and society and the rapid increase in the demand for entertainment experience. It is also the result of the rapid development of science and technolo...

AI Technical Summary

Problems solved by technology

The comparison experiment with the grid allocation method shows that: when the signal frequency is 1kHz, the number of spherical allocation matching points is reduced by 56.2%, and the average reconstruction error is reduced by 44.3%. The big improvement not only reduces the number of matching points, but also fundamentally solves the problem of matrix irreversibility in grid allocation, and provides a new and better matching point selection scheme for reconstructing the stereo field using data matching. The space of matching points The distribution is reasonable, the number of matching points is set scientifically, the stereo field reconstruction performance is good, the efficiency is high, the cost is low, and the error is less, the accuracy and reliability of the stereo field reconstruction are high

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