Audio signal processing method and related device

Abstract

The embodiment of the invention provides an audio signal processing method and a related device. The audio signal processing method includes the steps of establishing an input vector according to an audio input signal, establishing a reference input matrix according to a reference audio input signal, and processing the reference input matrix and the input vector through an adaptive filter on the basis of the affine projection algorithm so as to obtain an output vector, wherein the coefficient vector of a filter body of the adaptive filter has N segments, N is an integer larger than or equal to 2, and the affine projection orders of at least two segments in the N segments are not equal. By means of the scheme, the expansion of the adjustment range of the update rates of the portions, with different filter coefficient vectors, of the adaptive filter is facilitated.

Description

technical field [0001] The invention relates to audio signal processing technology, in particular to an audio signal processing method and a related device. Background technique [0002] In fields such as communications, processing echoes and noises is a very common and necessary technical means. Echo cancellation and noise cancellation techniques often use adaptive filtering techniques. The quality of adaptive filtering techniques for echo cancellation and noise cancellation can be evaluated by parameters such as convergence speed, steady-state error, and computational complexity. [0003] With the development of adaptive filtering technology, there are many adaptive filters that can be applied to echo cancellation and noise cancellation. One of them is an adaptive filter based on the least mean square principle. The computational complexity of this adaptive filter is relatively low, but the convergence speed is relatively slow, and the steady-state error after convergenc...

AI Technical Summary

Problems solved by technology

However, the traditional adaptive filter based on the affine projection algorithm uses a fixed affine projection order. In practice, it is found that the use of a fixed affine projection order usually makes the adjustment range of the update rate of different parts of the filter coefficient vector very limited.

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