Signal Processing Methods for Music Transcription (eBook, PDF)

Redaktion: Klapuri, Anssi; Davy, Manuel

• Format: PDF

Produktbeschreibung

This text is the first published survey of recent research in signal processing for music transcription, edited and authored by authorities in the field. It covers a range of topics, from the structure and decomposition of signals, to using computational modeling and neural networks for music transcription. The book targets a growing audience interested in MPEG-7 standardization. It serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. The text is enhanced by a common reference and index.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 440
• Erscheinungstermin: 26. Februar 2007
• Englisch
• ISBN-13: 9780387328454
• Artikelnr.: 37287384

Inhaltsangabe

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.