Machine Learning and Music Generation (ePub)
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This book illustrates the range of tasks and design choices in current music generation research, applying machine learning techniques and highlighting recurring research issues such as training data, music representation, candidate generation, and evaluation. This book was first published as a special issue of the Journal of Mathematics and Music.
José M. Iñesta is a Professor in the Department of Software and Computing Systems at the Universidad de Alicante, Spain.
Darrell Conklin is a Professor in the Department of Computer Science and Artificial Intelligence at the University of the Basque Country.
Rafael Ramírez-Melendez is Associate Professor in the Music Technology Group in the Department of Information and Communication Technologies at the Universidad Pompeu Fabra, Barcelona, Spain.
Thomas M. Fiore is Associate Professor of Mathematics at the University of Michigan-Dearborn, MI, USA.
- 2018, 1. Auflage, 122 Seiten, Englisch
- Herausgegeben: José M. Iñesta, Darrell C. Conklin, Rafael Ramírez-Melendez, Thomas M. Fiore
- Verlag: Taylor & Francis
- ISBN-10: 1351234528
- ISBN-13: 9781351234528
- Erscheinungsdatum: 16.10.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 9.55 MB
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