Music data mining

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Mus...

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Detalles Bibliográficos
Otros Autores: Li, Tao (-), Ogihara, Mitsunori, 1963-, Tzanetakis, George, 1975-
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press c2012.
Edición:1st edition
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628283806719
Descripción
Sumario:The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classificat
Notas:A Chapman & Hall book.
Descripción Física:1 online resource (372 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429105722
9781283311618
9786613311610
9781439835555