Echo delay estimating and tracking method

Abstract

The invention discloses an echo delay estimating and tracking method. According to the method, the echo delay is estimated based on embedding / detection of marking tone in an SVM classifier, thereby simplifying the audio feature extraction process, meanwhile the position and the amplitude of the embedded marking tone are controlled by using a psychoacoustic model based on human ear auditory masking effect so as to avoid auditory distortion after embedding and maximally guarantee the integrity and accuracy of original remote signals, in addition, the embedding program and the detection program of the marking tone are alternately executed, for each embedded and detected marking tone, range verification is executed, and the echo delay is updated according to the detection result, thereby realizing dynamic tracking of the echo delay, compared with the traditional cross-correlation algorithm, the echo delay estimating and tracking method has the advantages of high real-time performance, strong robustness and low computational complexity, and the method does not depend on the background noise or the independence assumption of the remote signal, and has higher reliability.

Description

technical field [0001] The invention relates to the field of audio processing, in particular to an echo delay estimation and tracking method for an echo cancellation system. Background technique [0002] With the popularization and development of the mobile Internet, mobile Internet voice communication systems represented by VoIP and car Bluetooth systems have become research hotspots in recent years, and many of the key technologies have matured, but the echo cancellation technology is due to The concentrated expression of the diversity and differentiation of mobile terminals, there is no perfect solution yet. [0003] Echo is divided into electronic echo and acoustic echo. The causes of electronic echo are complex, and the influence of actual communication effects is much smaller than that of acoustic echo. Therefore, the current research focus in the industry is on acoustic echo cancellation. The principle of echo cancellation is: the decoded voice signal acquired by th...

AI Technical Summary

Problems solved by technology

This method has two disadvantages: one is that the calculation complexity is large, and it is difficult to achieve dynamic delay tracking; the other is that this method assumes that the signal and noise are strictly independent of each other, and this premise is theoretically untenable , so the calculated delay is not accurate

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