Machine Learning and Music Generation H 122 p. 17
目次
Introduction: Machine learning and music generation José M. Iñesta, Darrell Conklin, and Rafael Ramírez 1. Chord sequence generation with semiotic patterns Darrell Conklin 2. A machine learning approach to ornamentation modeling and synthesis in jazz guitar Sergio Giraldo and Rafael Ramírez 3. Analysis of analysis: Using machine learning to evaluate the importance of music parameters for Schenkerian analysis Phillip B. Kirlin and Jason Yust 4. Mapping between dynamic markings and performed loudness: a machine learning approach Katerina Kosta, Rafael Ramírez, Oscar F. Bandtlow, and Elaine Chew 5. Data-based melody generation through multi-objective evolutionary computation Pedro J. Ponce de León, José M. Iñesta, Jorge Calvo-Zaragoza, and David Rizo
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