Music data analysis: foundations and applications

by Jannach, Dietmar Rudolph, Günter Vatolkin, Igor Weihs, Claus

Type Book

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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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Title Statements

Full title :Music data analysis : foundations and applications / edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Günter Rudolph.

Summary

Edition Statements

Publication Date:©2017

Publication Statements

Publisher(s):CRC Press, Taylor & Francis Group
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:©2017

Notes

"A Chapman & Hall Book."

The Physical Object

Description:xviii, 675 pages : : illustrations, music ; : 24 cm.

Edition Identifiers

ISBN:9781498719568, 1498719562
oclc:ocn936350308
LC Classification:ML74
Dewey Decimal:780.285

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.