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" Music data analysis : "
edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Günter Rudolph
Document Type
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BL
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Record Number
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644801
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Doc. No
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dltt
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Title & Author
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Music data analysis : : foundations and applications /\ edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Günter Rudolph
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Series Statement
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Chapman & Hall/CRC computer science and data analysis series
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Page. NO
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xviii, 675 pages :: illustrations, music ;; 24 cm
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ISBN
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9781498719568
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: 1498719562
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Notes
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"A Chapman & Hall Book."
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Bibliographies/Indexes
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Includes bibliographical references and index
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Contents
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1. Introduction -- I. Music and audio. 2. The musical signal: physically and psychologically -- 3. Musical structures and their perception -- 4. Digital filters and spectral analysis -- 5. Signal-level features -- 6. Auditory models -- 7. Digital representation of music -- 8. Music data: beyond the signal level -- II. Methods. 9. Statistical methods -- 10. Optimization -- 11. Unsupervised learning -- 12. Supervised classification -- 13. Evaluation -- 14. Feature processing -- 15. Feature selection -- III. Applications. 16. Segmentation -- 17. Transcription -- 18. Instrument recognition -- 19. Chord recognition -- 20. Tempo estimation -- 21. Emotions -- 22. Similarity-based organization of music collections -- 23. Music recommendation -- 24. Automatic composition -- IV. Implementation. 25. Implementation architectures -- 26. User interaction -- 27. Hardware architectures for music classification -- Notation
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Abstract
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"This textbook introduces the reader to the underlying mechanisms of automated music data analysis. Written by scientists working in different fields including physics, musicology, statistics, and computer science, it is the first self-contained book on this topic."--Page 4 of cover
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Subject
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Musical analysis-- Data processing
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Subject
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Data mining
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Dewey Classification
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780.285
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LC Classification
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ML74.M877 2017
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Added Entry
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Weihs, Claus
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Jannach, Dietmar,1973-
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Vatolkin, Igor,1980-
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Rudolph, Günter
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