Broadband acoustics echo eliminating method

Abstract

A wideband acoustic echo cancellation process comprise the following steps filtering an input shifting register which comprises far-end signals and the data in the input shifting register which comprises far-end signals, conducting the IDFT arithmetic to obtain far-end multi-sub-band data and near-end multi-sub-band data, conducting the adaptive filtering and the parameter updating for the far-end multi-sub-band data and the near-end multi-sub-band data to gain echo estimation difference, carrying out the IDFT arithmetic for the echo estimation difference of the multi-sub-band, conducting the synthetic filtering for the echo estimation difference of the multi-sub-band, adding the filtering output data which is gained through the filtering with the value in an output shifting register whose length is K, updating the output shifting register through using the value which is gained through the addition, outputting the front r points in the output shifting register, shifting forwards the positions of r points by the sequent K-r points, zeroizing the positions of r points, carrying out the shifting operations for the input shifting register, and repeating all the steps.

Description

technical field [0001] The invention relates to an audio processing method in a voice communication system, in particular to a broadband acoustic echo cancellation method in a voice communication system. Background technique [0002] Existing mobile phone or teleconferencing system is in the call process, and the voice signal that the other side of the call system transmits is called the far-end signal; The mixture of the sound generated behind the microphone) is called the near-end signal. The task of Acoustic Echo Cancellation (AEC, Acoustic Echo Cancellation) is to estimate the echo and remove it from the near-end signal, so as to obtain pure local voice. [0003] Most of the existing acoustic echo cancellation algorithms are only for narrowband (sampling rate 8K) speech codec algorithms, such as G.711. With the continuous improvement of users' requirements for sound quality, broadband (sampling rate 16K, 32K) audio codec algorithms, such as G.722 and G.722.1, have begu...

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Problems solved by technology

[0009] from figure 1 It can be seen from the figure that although the signal processing task is performed on the low sampling rate side, the analysis and synthesis filtering is still performed on the high sampling rate side, and the amount of calculation is still very large.

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