Editors:
The first book uniting state-of-the-art research in signal processing for music transcription
Covers a range of topics and approaches discussed by international experts in the field
Contributes to the dissemination of the increasingly relevant topic of MPEG-7 standardization
Describes models for the different subtopics of music transcription, including pitch analysis, percussion transcription, source separation, instrument recognition, and music structure analysis
Comprehensive review of existing methods
Ideal starting point for newcomers and a valuable reference source for people working in the field
Includes concrete algorithms and formulas for various methods, making it easy for the reader to implement and experiment
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Table of contents (12 chapters)
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Front Matter
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Rhythm and Timbre Analysis
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Front Matter
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Multiple Fundamental Frequency Analysis
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Front Matter
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Entire Systems, Acoustic and Musicological Modelling
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Front Matter
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Back Matter
About this book
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis. Following a clearly structured pattern, each chapter provides a comprehensive review of the existing methods for a certain subtopic while covering the most important state-of-the-art methods in detail. The concrete algorithms and formulas are clearly defined and can be easily implemented and tested. A number of approaches are covered, including, for example, statistical methods, perceptually-motivated methods, and unsupervised learning methods. The text is enhanced by a common reference and index.
Editors and Affiliations
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Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
Anssi Klapuri
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Ecole Centrale de Lille Cité Scientifique, LAGIS/CNRS, Cedex, France
Manuel Davy
Bibliographic Information
Book Title: Signal Processing Methods for Music Transcription
Editors: Anssi Klapuri, Manuel Davy
DOI: https://doi.org/10.1007/0-387-32845-9
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-30667-4Published: 09 May 2006
Softcover ISBN: 978-1-4419-4035-3Published: 29 October 2010
eBook ISBN: 978-0-387-32845-4Published: 26 February 2007
Edition Number: 1
Number of Pages: XII, 440
Number of Illustrations: 124 b/w illustrations
Topics: Signal, Image and Speech Processing, Pattern Recognition, Information Storage and Retrieval, Natural Language Processing (NLP)