Signal Processing Methods for Music Transcription Hardcover - 2006
by Anssi Klapuri (Editor); Manuel Davy (Editor)
From the rear cover
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.
This book aims to serve as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.
Details
- Title Signal Processing Methods for Music Transcription
- Author Anssi Klapuri (Editor); Manuel Davy (Editor)
- Binding Hardcover
- Edition U. S. EDITION
- Pages 440
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2006-05-09
- Illustrated Yes
- ISBN 9780387306674 / 0387306676
- Weight 1.7 lbs (0.77 kg)
- Dimensions 9.2 x 6.2 x 1 in (23.37 x 15.75 x 2.54 cm)
- Library of Congress subjects Musical analysis - Data processing, Signal processing - Digital techniques
- Library of Congress Catalog Number 2006920280
- Dewey Decimal Code 780.148
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