Signal Processing Methods for Music Transcription

Anssi Klapuri 1 Manuel Davy 2, 3
2 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
3 LAGIS-SI
LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
Abstract : 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.
Type de document :
Ouvrage (y compris édition critique et traduction)
Springer, pp.456, 2006, 0-387-30667-6
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https://hal.inria.fr/inria-00120226
Contributeur : Manuel Loth <>
Soumis le : mercredi 13 décembre 2006 - 16:27:36
Dernière modification le : jeudi 11 janvier 2018 - 06:26:40

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  • HAL Id : inria-00120226, version 1

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Anssi Klapuri, Manuel Davy. Signal Processing Methods for Music Transcription. Springer, pp.456, 2006, 0-387-30667-6. 〈inria-00120226〉

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