Echo cancellation method

Abstract

The invention relates to an echo cancellation method, which comprises the following steps of: S1, acquiring a digital microphone signal and a digital reference signal through a microphone array; S2, converting the digital time domain signal into a frequency domain signal; S3, performing linear prediction caching and nonlinear extension on the reference frequency domain signal to obtain a reference frequency domain signal matrix; S4, calculating an autocorrelation diagonalization matrix; S5, calculating an echo cancellation gain vector of each frequency point, and performing echo cancellation on the microphone frequency domain signal obtained in the step S2; and S6, outputting a final output frequency domain signal and converting the final output frequency domain signal into a time domain signal. Compared with a traditional echo cancellation method, the method provided by the invention is beneficial to improving the influence of nonlinear distortion of the system on the processing effect, saves the resource consumption from the calculation principle, effectively improves the signal-to-noise ratio of the processed voice signal, and further improves the echo cancellation effect.

Description

technical field [0001] The invention belongs to the technical field of audio processing, and in particular relates to an echo cancellation method. Background technique [0002] In audio systems with speakers and microphones, echo cancellation technology has been widely used. With the rapid development of artificial intelligence technology and the Internet of Things, the actual application products have more stringent requirements on the effect of echo cancellation, computing power and memory. requirements. [0003] The commonly used echo cancellation method is to estimate the echo channel through an adaptive filter, and then eliminate the echo. If the adaptive filter of this type of method involves inverse operations and nonlinear suppression, it will often increase the hardware consumption of the product; at the same time, in recent years In the past, many echo cancellation methods based on deep neural networks have emerged. This type of method can further improve the effe...

AI Technical Summary

Problems solved by technology

[0003] The commonly used echo cancellation method is to estimate the echo channel through an adaptive filter, and then eliminate the echo. If the adaptive filter of this type of method involves inverse operations and nonlinear suppression, it will often increase the hardware consumption of the product; at the same time, in recent years In the past, many echo cancellation methods based on deep neural networks have emerged. This type of method can further improve the effect of echo cancellation, and has certain processing effects on nonlinear distortion, reverberation, environmental noise, etc., but considers various and complex In the application environment, the selection of the training set is a challenge, which will directly affect the stability of the actual application process. At the same time, the computing power and memory of the echo cancellation method based on deep learning restrict its wide application.

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