
Music Data Analysis
Foundations and Applications
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 7. November 2016
Book
Hardback
694 pages
978-1-4987-1956-8 (ISBN)
Description
This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.
Reviews / Votes
" . . . what makes this book unique is that it covers a much broader range of topics. Not only does it present a concrete tutorial on signal processing and music information retrieval . . . , but it also talks about interesting topics such as emotions, automatic composition, hardware, and others, so readers are sure to find novel information . . . In summary, MusicDataAnalysis is well thought-out and well written. It chooses to emphasize a breadth of topics rather than specialize in specific ones. This book nicely accomplishes its goal of serving as an introductory textbook for music research. It is also a very useful reference and valuable resource for individuals seeking new directions in the field." ~Yupeng Gu, Journal of the American Statistical Association". . . the book is impressive in its structure, comprehensiveness, clarity and accuracy. . . This text has staked out a specialised interdisciplinary niche, but as a self-contained guide to computational methods for music, I think it unlikely to be surpassed in the near future." ~David Bulger, Australian & New Zealand Journal of Statistics
"Theoretical and practical exercises based on R and MATLAB are provided in the book's web site, as well as example data sets. The book is very clearly written, and the style is fairly uniform despite the large number of authors. In sum, a very useful and enjoyable book." ~Ricardo Maronna, Stat Papers
More details
Series
Language
English
Place of publication
Boca Raton
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
259 s/w Abbildungen, 72 s/w Tabellen
72 Tables, black and white; 259 Illustrations, black and white
Dimensions
Height: 241 mm
Width: 159 mm
Thickness: 43 mm
Weight
1166 gr
ISBN-13
978-1-4987-1956-8 (9781498719568)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
12/2019
1st Edition
Chapman & Hall/CRC
€83.00
Shipment within 15-20 days

E-Book
11/2016
Chapman & Hall/CRC
€88.49
Available for download

E-Book
11/2016
Chapman & Hall/CRC
€88.49
Available for download
Persons
Dietmar Jannach, Guenter Rudolphm and Igor Vatolkin are affiliated with the Department of Computer Science, TU Dortmund University, Germany
Claus Weihs is affiliated with the Department of Statistics at TU Dortmund University, Germany
Claus Weihs is affiliated with the Department of Statistics at TU Dortmund University, Germany
Content
MUSIC AND AUDIO. Introduction. The Musical Signal - Physically and Psychologically. Musical Structures and Their Perception. Digital Signal Processing. Digital Representation of Music. Signal-level Features. METHODS. Foundations of Statistics. Optimization. Unsupervised Classification. Supervised Classification. Evaluation. Feature Processing. Feature Selection. APPLICATIONS. Transcription. Segmentation. Instrument Recognition. Chord and Harmony Recognition. Tempo Recognition. Emotions. Structuring Of Music Collections. Music Recommendation. Automatic Composition. IMPLEMENTATION. Architecture. User Interaction. Hardware.