Machine learning and music generation. (2018)

• Record Type: Book
• Further Information: Note: Edited by José M. Iñesta, Darrell Conklin, Rafael Ramírez-Melendez, with Thomas M. Fiore as Editor-in-Chief.
• Editors: Iñesta, José M; Conklin, Darrell; Ramírez-Melendez, Rafael; Fiore, Thomas M, 1977-
• Contents: 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
• Publisher Details: Place of publication not identified : Routledge
• Publication Date: 2018
• Extent: 1 online resource (112 pages)
• Subjects: 781.3/4631; Computer composition (Music); Composition (Music) -- Mechanical aids; Composition (Music) -- Mathematics; Music theory -- Mathematics; Composition (Music) -- Mathematics; Composition (Music) -- Mechanical aids; Computer composition (Music); Music theory -- Mathematics
• Languages: English
• ISBNs: 9781351234528; 1351234528
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.