Machine Learning and Music Generation

Discover the innovative intersection of technology and creativity in Machine Learning and Music Generation by Taylor & Francis Ltd. Published in 2019, this insightful paperback spans 112 pages and delves into the fascinating world of music generation research. The book expertly illustrates various tasks and design choices, applying advanced machine learning techniques to explore key issues such as training data, music representation, candidate generation, and evaluation. Originally published as a special issue of the Journal of Mathematics, this work serves as an essential resource for researchers and enthusiasts alike, eager to understand the evolving landscape of music technology. Enhance your knowledge and appreciation of how machine learning is reshaping the music industry with this compelling read.