Multi-channel audio signal compressing method based on tensor decomposition

Abstract

The invention discloses a multi-channel audio signal compressing method based on tensor decomposition, and belongs to the technical field of audio signal processing, in particular to the technical field of spatial audio coding and decoding. The method comprises the following steps: overlapping and framing an audio signal of each channel and carrying out time frequency transform on each frame of signal to obtain a frequency domain coefficient; combining all channels and the frequency domain coefficients of all frame sequences to establish a three-order tensor signal; carrying out tensor decomposition on the three-order tensor signal so as to obtain a low-rank nuclear tensor for coding transmission; reconstructing a tensor signal by using the low-rank nuclear tensor combined and recovered at a decoding end and a low-rank projection matrix trained in advance; and carrying out inverse transformation and overlap-add on the reconstructed tensor signal in each channel to recover a multi-channel audio signal. The multi-channel audio signal compressing method has the advantages as follows: as the multi-channel audio signal is analyzed, coded and decoded through the combination of time frequency transform and tensor decomposition and redundant information is removed by using correlations between channels and within the channels, the compression efficiency of the multi-channel audio signal can be increased to a greater degree.

Description

technical field [0001] The invention relates to a multi-channel audio signal compression method, in particular to a multi-channel signal compression method based on tensor decomposition, which belongs to the technical field of audio signal processing, especially the technical field of spatial audio coding and decoding. Background technique [0002] In the field of digital audio applications, multi-channel audio can provide immersive surround sound experience, which cannot be provided by traditional stereo signals. With people's demand for high enjoyment of digital audio signals, researchers pay more and more attention to efficient audio signal compression methods. In order to produce the effect of spatial surround, multi-channel signal coding and decoding technologies such as Dolby AC-3, DTS and MPEG Surround have been proposed one after another. Most of these methods need to transmit mono or stereo audio after multi-channel downmixing at the encoding end. signal, and extra...

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Problems solved by technology

[0005] The purpose of the present invention is to fully characterize and efficiently compress multi-channel audio signals, and propose a multi-channel audio signal compression method based on tensor decomposition, which solves the problem that traditional multi-channel audio codecs can only use vector or matrix algebra For calculation, the multi-factor influence of channel and time frequency cannot be considered at the same time

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