Download Music Data Analysis: Foundations and Applications (Chapman & Hall/CRC Computer Science & Data Analysis)
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Music Data Analysis: Foundations and Applications (Chapman & Hall/CRC Computer Science & Data Analysis)
Download Music Data Analysis: Foundations and Applications (Chapman & Hall/CRC Computer Science & Data Analysis)
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Review
" . . . 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
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About the Author
Dietmar Jannach, Günter 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
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Product details
Series: Chapman & Hall/CRC Computer Science & Data Analysis (Book 23)
Hardcover: 694 pages
Publisher: Chapman and Hall/CRC; 1 edition (November 7, 2016)
Language: English
ISBN-10: 9781498719568
ISBN-13: 978-1498719568
ASIN: 1498719562
Product Dimensions:
6.5 x 1.5 x 9.5 inches
Shipping Weight: 2.3 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#2,099,632 in Books (See Top 100 in Books)
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