Acoustic echo mitigating apparatus and method, audio processing apparatus, and voice communication terminal

Abstract

The present application provides an acoustic echo mitigation apparatus and method, an audio processing apparatus and a voice communication terminal. According to an embodiment, an acoustic echo mitigation apparatus is provided, including: an acoustic echo canceller for cancelling estimated acoustic echo from a microphone signal and outputting an error signal; a residual echo estimator for estimating residual echo power; and an acoustic echo suppressor for further suppressing residual echo and noise in the error signal based on the residual echo power and noise power. Here, the residual echo estimator is configured to be continuously adaptive to power change in the error signal. According to the embodiments of the present application, the acoustic echo mitigation apparatus and method can, at least, be well adaptive to the change of power of the error signal after the AEC processing, such as that caused by change of double-talk status, echo path properties, noise level and etc.

Description

technical field [0001] This application relates generally to audio signal processing. More specifically, the embodiments of the present application relate to an acoustic echo mitigation device and method, as well as an audio processing device and a voice communication terminal including the acoustic echo mitigation device. Background technique [0002] Mitigation of acoustic echo is a huge challenge in voice communication. Acoustic echo is caused by the fact that the microphone may recapture the audio signal played by the loudspeaker (either the loudspeaker signal or the reference signal), so that the talker on the other side (far end) will hear himself along with the input from the near end the sound of. [0003] There are generally two basic techniques used to mitigate acoustic echo. One technique is Acoustic Echo Cancellation (AEC) and the other technique is Acoustic Echo Suppression (AES). Nowadays, AEC is usually used to remove most of the acoustic echo from the mic...

AI Technical Summary

Problems solved by technology

However, in such a solution, hard-decision marking for two-way talk will depend on an empirical choice of threshold, which usually cannot satisfy the requirements in all scenarios

Also, such solutions tend to confuse two-way talk with other changes, such as changes in the echo path or changes in the noise level that also cause changes in the power of the difference signal

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