Method and device for suppressing residual echo

Abstract

The embodiment of the invention discloses a method and a device for suppressing residual echo, comprising the following steps: receiving a reconstruction voice echo signal y' obtained according to a far-end voice signal, and receiving an input signal e comprising a residual echo signal delta, wherein the input signal e is obtained by counteracting the reconstruction voice echo signal y' from a near-end voice signal d comprising a voice echo signal; transforming signals y', d and e into frequency domain signals Y '(omega), D (omega) and E (omega) through Fourier transform; calculating the power spectrum estimation Sy'y' (omega) of cross-spectral density Sed (omega) and Y'(omega) of D (omega) and E (omega), and calculating the noise signal power spectrum estimation Sww (omega); calculating the power spectrum estimation S delta delta (omega) of a residual echo signal delta according to an echo suppression capacity factor mu and Sy'y'(omega), wherein, mu is a controllable gain which is adjusted according to echo suppression capacity; and filtering the residual echo signal delta from the input signal e according to Sed (omega), Sww (omega) and S delta delta (omega). In another aspect, the invention also discloses relevant equipment. By adopting the method and the device of the invention, residual echo can be effectively filtered.

Description

technical field [0001] The invention relates to voice communication technology, in particular to a residual echo suppression method and equipment. Background technique [0002] In the voice communication environment, especially in the voice communication environment where the microphone and the loudspeaker coexist, such as conference systems, hands-free phones, etc., the voice signal from the remote end is broadcast through the loudspeaker, collected by the microphone and transmitted back to the remote end , causing the far-end user to be disturbed by the acoustic echo. Acoustic echo cancellation generally approximates the actual sound field through an adaptive filter, and then estimates the acoustic echo and subtracts the estimated acoustic echo from the data actually collected by the microphone to achieve the effect of canceling the acoustic echo. However, due to the insufficient order of the adaptive filter, the nonlinear characteristics of the sound field and other fact...

AI Technical Summary

Problems solved by technology

However, the result of noise estimation depends on the processing result of G1, and the noise reduction after G1 processing will lead to inaccurate noise estimation and poor noise suppression effect. The suppression of residual echo signal δ and background noise signal w is only locally optimal. have a greater impact on sound quality

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