Music Data Mining

ISBN-13: 9781439835524 / Angielski / Twarda / 2011 / 384 str.

Tao Li

Opis

With most people now obtaining music digitally, challenges have arisen in the storage and organisation 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.

Spis treści

FUNDAMENTAL TOPICS: Music Data Mining: An Introduction. Audio Feature Extraction. CLASSIFICATION: Auditory Sparse Coding. Instrument Recognition. Mood and Emotional Classification. Zipf’s Law, Power Laws and Music Aesthetics. SOCIAL ASPECTS OF MUSIC DATA MINING: Web- and Community-Based Music Information Extraction. Indexing Music with Tags. Human Computation for Music Classification. ADVANCED TOPICS: Hit Song Science. Symbolic Data Mining in Musicology. Index.

O autorze

Tao Li, Mitsunori Ogihara, George Tzanetakis