Machine Learning and Music Generation

Discover the fascinating intersection of technology and creativity in Machine Learning and Music Generation by José M. Iñesta. Published by Taylor & Francis Inc in 2017, this hardback edition spans 112 pages and delves into the innovative world of music generation research. The book expertly explores a variety of tasks and design choices, showcasing how machine learning techniques are revolutionizing the way music is created. Key topics include training data, music representation, candidate generation, and evaluation, providing readers with a comprehensive understanding of the challenges and advancements in this field. Originally published as a special issue of the Journal of Mathematics and Music, this insightful work is essential for anyone interested in the future of music and technology. Enhance your knowledge and appreciation of music generation with this compelling read.