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An Approach to Expressive Music Performance Modeling

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We describe a tool for generating expressive music performances of monophonic Jazz melodies. The system consists of three components: (a) a melodic transcription component which extracts a set of acoustic features from monophonic recordings, (b) a machine learning component which induce an expressive transformation model from the set of extracted acoustic features, and (c) a melody synthesis component which generates expressive monophonic output (MIDI or audio) from inexpressive melody descriptions using the induced expressive transformation model.

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