Signal Processing Methods for Music Transcription, 1st Edition eBook

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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 is a digital product.

Signal Processing Methods for Music Transcription 1st Edition is written by Anssi Klapuri; ‎Manuel Davy and published by Springer. The Digital and eTextbook ISBNs for Signal Processing Methods for Music Transcription are 9780387328454, 0387328459 and the print ISBNs are 9780387306674, 0387306676. Additional ISBNs for this eTextbook include 9781441940353.