Music Data Mining

With most people now obtaining music digitally, challenges have arisen in the storage and organization of large digital music collections. This book explores how data mining addresses these challenges by mining useful information and using it to create novel ways of interaction with large music collections. Leading experts in data mining, machine learning, and music science examine fundamental issues of classification and audio signal processing and discuss social aspects of music. They also present new research in instrument recognition, mood and emotion classification, and hit song prediction science.