Includes bibliographical references (pages 391-428) and index.
Foundations -- to Music Transcription -- An Introduction to Statistical Signal Processing and Spectrum Estimation -- Sparse Adaptive Representations for Musical Signals -- Rhythm and Timbre Analysis -- Beat Tracking and Musical Metre Analysis -- Unpitched Percussion Transcription -- Automatic Classification of Pitched Musical Instrument Sounds -- Multiple Fundamental Frequency Analysis -- Multiple Fundamental Frequency Estimation Based on Generative Models -- Auditory Model-Based Methods for Multiple Fundamental Frequency Estimation -- Unsupervised Learning Methods for Source Separation in Monaural Music Signals -- Entire Systems, Acoustic and Musicological Modelling -- Auditory Scene Analysis in Music Signals -- Music Scene Description -- Singing Transcription.
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Presents a survey of research in signal processing for music transcription. This book covers a range of topics, from the structure and decomposition of signals, to using computational modeling and neural networks for music transcription. It is useful for those interested in MPEG-7 standardization and also for newcomers and professionals.
Springer
978-0-387-30667-4
Signal processing methods for music transcription.