An Approach to Expressive Music Performance Modeling

TitleAn Approach to Expressive Music Performance Modeling
Publication TypeConference Paper
Year of Publication2005
Conference Name118th Audio Engineering Society Convention
AuthorsRamirez, R., & Hazan A.
AbstractWe describe an approach for generating expressive music performances of monophonic Jazz melodies. The system consists of a melodic transcription component which extracts a set of acoustic features from monophonic recordings, a machine learning component which induce an expressive transformation model from the extracted acoustic features, and a melody synthesis component which generates expressive monophonic output from inexpressive melody descriptions using the induced expressive transformation model. This paper extends previous work by introducing an intra-note feature prediction model in the machine learning component.
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