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Loop Region Detection in Music Signals

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Spotting loops within a music recording seems to be an easy task for human listeners. Nevertheless it becomes highly time and effort consuming when loop segments are to be identified from a large music collection. The process can be greatly facilitated with an audio editing tool that highlights regions where loops appear and suggests loop durations respectively. This paper proposes a method for computing both types of information from the music signals. Our approach is based on identifying sequential and regular repetitions of tonal features. In addition, we present a prototype implementation featuring the proposed method to facilitate the audio browsing and searching process. Finally, we discuss other possible applications of this technology in the audio content description context.

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