Towards automatic transcription of expressive oral percussive performances

Authors:
Amaury Hazan
Affiliations:
Pompeu Fabra University, Barcelona, Spain
Venue:
Proceedings of the 10th international conference on Intelligent user interfaces
Year:
2005

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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.