Automatic characterization of dynamics and articulation of expressive monophonic recordings

TitleAutomatic characterization of dynamics and articulation of expressive monophonic recordings
Publication TypeConference Paper
Year of Publication2005
Conference NameAES 118th Convention
AuthorsMaestre, E., & Gómez E.
AbstractWe describe a method to automatically extract a set of features from the audio signal that are related to musical expressivity, more concretely to dynamics and articulation. We define a description scheme based on intra-note segmentation into attack, sustain, release and transition segments, and a subsequent amplitude and pitch contour characterization. Then, we present a series of algorithms to automatically perform intra-note segmentation and extract some features related to expressivity. We evaluate the performance of the methods for intra-note segmentation and feature extraction over a saxophone database of jazz standards and other recordings presenting expressive resources. Finally, we propose some future work and applications.
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