Acoustic echo cancellation using blind source separation

Daesung Kim, Hun Choi, Hyundeok Bae
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引用次数: 6

Abstract

We investigate an acoustic echo cancellation method using a blind source separation technique. In a hands-free mobile system, when the large acoustic noise picked up by the microphone is mixed with the echo, the echo cancellation system shows poor performance. We use a blind source separation algorithm to control the acoustic noise which has to be suppressed. The blind source separation algorithm separates the original echo signal from the observation signal which is mixed with acoustic noise. The separated echo signal is applied to the reference signal of the adaptive filter; this approach gives good performance of the adaptive algorithm for echo cancellation. Computer simulation results show the efficiency of the suggested method.
基于盲源分离的声回波消除
研究了一种采用盲源分离技术的声回波消除方法。在免提移动系统中,当麦克风拾取的大噪声与回波混合时,回波抵消系统表现出较差的性能。我们使用盲源分离算法来控制需要抑制的噪声。盲源分离算法将原始回波信号与混合了噪声的观测信号分离开来。将分离后的回波信号应用于自适应滤波器的参考信号;该方法使自适应回波消除算法具有良好的性能。计算机仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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