Signal Processing Methods for Music Transcription

Features

• Cover Type: Hard Cover with 440 pages
• Published by: Springer
• Edition: 1st Edition May 9, 2006
• Written in: English
• ISBN 10 Number: 0387306676
• ISBN 13 Number: 978-0387306674
• Book Dimensions: 9.3 x 6.2 x 1 inches
• Weighs: 1.7 pounds

Book Description


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.

Reader Reviews
This book for is for a serious mathematician who want to do research on music. When reading at a glance, I thought it was for multimedia software users, but at least it shows me mathematical process of transcribing music. If you are not good at mathematic, or know very little of it, you can use it as archive for further research. For those who need to do research on how to automatically transcribe a song through signal processing, or reverse engineering as Klapuri put it, this book is good as a starting point for use in compiling these kinds of computer software. There are lots of mathematical formulas in this book, so serious mathematic scholars may find this book useful. Comment | | (Report this)