Combining Performance Actions with Spectral Models for Violin Sound Transformation

TitleCombining Performance Actions with Spectral Models for Violin Sound Transformation
Publication TypeConference Paper
Year of Publication2007
Conference NameInternational Congress on Acoustics
AuthorsPérez, A., Bonada J., Maestre E., Guaus E., & Blaauw M.
Conference Start Date02/09/2007
Conference LocationMadrid, Spain
AbstractIn this work we present a violin timbre model that takes into account performance gestures. It is built by analysis of performance data using machine learning methods and it is able to predict the timbre given a set of performance actions. Gestural data and sound are synchronously captured by means of 3D motion trackers attached to the instrument and a bridge pickup. The model is used for sample transformation within a spectral concatenative synthesizer informed by gestures.
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