Automated removal and extraction (isolation) of percussive sounds embedded in an audio signal is useful for a variety of applications such as speech enhancement and for music processing effects. A novel method is presented to accomplish both extraction and removal of beats, using an adaptive filter based on the LMS algorithm. Empirical evaluation is undertaken using computer generated music with a mix of natural voice and repeating drum, and shows that the efficacy of the system is robust to different sound processing techniques such as non-linear distortion and tempo jitter.

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