Music data mining /

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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
Clasificación:Libro Electrónico
Otros Autores: Li, Tao, Ogihara, Mitsunori, 1963-, Tzanetakis, George, 1975-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, ©2012.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Musical analysis > Data processing.
Data mining.
Information storage and retrieval systems > Music.
Data Mining
Analyse musicale > Informatique.
Exploration de données (Informatique)
Systèmes d'information > Musique.
MUSIC > Genres & Styles > Classical.
MUSIC > Reference.
Data mining
Information storage and retrieval systems
Musical analysis > Data processing
Music
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Music data mining: an introduction / Tao Li and Lei Li Audio feature extraction / George Tzanetakis Auditory sparse coding / Steven R. Ness, Thomas C. Walters, and Richard F. Lyon
  • Instrument recognition / Jayme Garcia Arnal Barbedo
  • Mood and emotional classification / Mitsunori Ogihara and Youngmoo Kim
  • Zipf's law, power laws, and music aesthetics / Bill Manaris [and others]
  • Web-based and community-based music information extraction / Markus Schedl
  • Indexing music with tags / Douglas Turnbull
  • Human computation for music classification / Edith Law
  • Hit song science / François Pachet
  • Symbolic data mining in musicology / Ian Knopke and Frauke Jürgensen.

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