A new algorithm for joint blind signal separation and acoustic echo canceling

Daniel W. E. Schobben, P. Sommen
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引用次数: 10

Abstract

The problem of joint blind signal separation and acoustic echo cancelling arises in applications such as teleconferencing and voice controlled machinery. Microphones pick up a signal of the desired speaker together with contributions of other speakers and loudspeakers in these applications. The contributions of these loudspeaker signals to the microphone signals need to be cancelled. The remaining signals are then separated so that the individual local speakers are recovered. In this paper an extension of the previously introduced convolutive blind signal separation algorithm, CoBliSS is presented. This extended algorithm is capable of performing combined blind signal separation and acoustical echo cancelling at a low computational cost. The performance of the extended CoBliSS algorithm is evaluated using audio that is recorded in a real acoustical environment.
一种联合盲信号分离与声回波抵消的新算法
在电话会议和语音控制机械等应用中出现了联合盲信号分离和声回波消除的问题。在这些应用中,麦克风与其他扬声器和扬声器的贡献一起拾取所需扬声器的信号。这些扬声器信号对麦克风信号的贡献需要被取消。然后将剩余的信号分离,以便恢复个别的本地说话者。本文提出了卷积盲信号分离算法CoBliSS的扩展。该扩展算法能够以较低的计算成本实现盲信号分离和声回波对消的结合。使用在真实声学环境中录制的音频来评估扩展CoBliSS算法的性能。
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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