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  • © 2006

Signal Processing Methods for Music Transcription

  • 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

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-32845-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 199.99
Price excludes VAT (USA)
Hardcover Book USD 249.99
Price excludes VAT (USA)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xii
  2. Foundations

    1. Front Matter

      Pages 1-1
    2. Introduction to Music Transcription

      • Anssi Klapuri
      Pages 3-20
    3. Sparse Adaptive Representations for Musical Signals

      • Laurent Daudet, Bruno Torrésani
      Pages 65-98
  3. Rhythm and Timbre Analysis

    1. Front Matter

      Pages 99-99
    2. Beat Tracking and Musical Metre Analysis

      • Stephen Hainsworth
      Pages 101-129
    3. Unpitched Percussion Transcription

      • Derry FitzGerald, Jouni Paulus
      Pages 131-162
    4. Automatic Classification of Pitched Musical Instrument Sounds

      • Perfecto Herrera-Boyer, Anssi Klapuri, Manuel Davy
      Pages 163-200
  4. Multiple Fundamental Frequency Analysis

    1. Front Matter

      Pages 201-201
  5. Entire Systems, Acoustic and Musicological Modelling

    1. Front Matter

      Pages 297-297
    2. Auditory Scene Analysis in Music Signals

      • Kunio Kashino
      Pages 299-325
    3. Music Scene Description

      • Masataka Goto
      Pages 327-359
    4. Singing Transcription

      • Matti Ryynänen
      Pages 361-390
  6. Back Matter

    Pages 391-440

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.

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.

Keywords

  • Acoustics
  • algorithms
  • classification
  • cognition
  • learning
  • modeling
  • signal processing

Editors and Affiliations

  • Institute of Signal Processing, Tampere University of Technology, Tampere, Finland

    Anssi Klapuri

  • Ecole Centrale de Lille Cité Scientifique, LAGIS/CNRS, Cedex, France

    Manuel Davy

Bibliographic Information

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-32845-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 199.99
Price excludes VAT (USA)
Hardcover Book USD 249.99
Price excludes VAT (USA)