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Towards automatic transcription of expressive oral percussive performances

Title Towards automatic transcription of expressive oral percussive performances
Publication Type Conference Paper
Year of Publication 2005
Authors Hazan, A.
Abstract We describe a tool for transcribing voice generated percussive rhythms. The system consists of (a) a segmentation component which separates the monophonic input stream into percussive events (b) a descriptors generation component that computes a set of acoustic features from each of the extracted segments, (c) a machine learning component which assigns to each of the segmented sounds of the input stream a symbolic class. We describe each of these components and compare different machine learning strategies that can be used to obtain a symbolic representation of the oral percussive performance.
preprint/postprint document files/publications/IUI2005-HazanRamirez.pdf