Music data analysis foundations and applications
"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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| Other Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
[2017]
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| Series: | Series in computer science and data analysis
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| Subjects: | |
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| 008 | 221104s2017 flua b 001 0 eng d | ||
| 020 | |a 9781498719568 | ||
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| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a ML 74 |b .M877 2017 | ||
| 245 | 0 | 0 | |a Music data analysis |b foundations and applications |c edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Günter Rudolph |
| 264 | 1 | |a Boca Raton, FL |b CRC Press, Taylor & Francis Group |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a xviii, 675 pages |b illustrations, music |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC computer science and data analysis series | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a 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 | |
| 520 | |a "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 | ||
| 592 | |a 37520 |b 23/7/19 |c RM237.26 |h Bookline Services | ||
| 650 | 0 | |a Musical analysis |x Data processing | |
| 650 | 0 | |a Data mining | |
| 700 | 1 | |a Weihs, Claus |e editor | |
| 700 | 1 | |a Jannach, Dietmar |d 1973- |e editor | |
| 700 | 1 | |a Vatolkin, Igor |d 1980- |e editor | |
| 700 | 1 | |a Rudolph, Günter |e editor | |
| 830 | 0 | |a Series in computer science and data analysis | |
| 999 | |a vtls000063643 |c 53483 |d 53483 | ||