Machine Learning and Music Generation

Contents

• Introduction: Machine learning and music generation Jose M. Inesta, Darrell Conklin, and Rafael Ramirez
• 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 Ramirez
• 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 Ramirez, Oscar F. Bandtlow, and Elaine Chew
• 5. Data-based melody generation through multi-objective evolutionary computation Pedro J. Ponce de Leon, Jose M. Inesta, Jorge Calvo-Zaragoza, and David Rizo