Signal Processing Methods for Music TranscriptionAnssi Klapuri, Manuel Davy Springer Science & Business Media, 26. 2. 2007 - Počet stran: 440 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. |
Obsah
Rhythm and Timbre Analysis | 17 |
An Introduction to Statistical Signal Processing | 21 |
Sparse Adaptive Representations for Musical Signals | 65 |
Stephen Hainsworth | 101 |
Unpitched Percussion Transcription | 130 |
Automatic Classification of Pitched Musical Instrument | 163 |
Multiple Fundamental Frequency Estimation Based | 203 |
Auditory ModelBased Methods for Multiple Fundamental | 228 |
Unsupervised Learning Methods for Source Separation | 267 |
Auditory Scene Analysis in Music Signals | 298 |
Music Scene Description | 327 |
Singing Transcription | 360 |
References | 391 |
429 | |
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Signal Processing Methods for Music Transcription Anssi Klapuri,Manuel Davy Náhled není k dispozici. - 2010 |