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Anssi Klapuri & Manuel Davy
Signal Processing Methods for Music Transcription

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Capa do Anssi Klapuri & Manuel Davy: Signal Processing Methods for Music Transcription (PDF)

This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.

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Tabela de Conteúdo

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.

Língua Inglês ● Formato PDF ● Páginas 440 ● ISBN 9780387328454 ● Tamanho do arquivo 25.0 MB ● Editor Anssi Klapuri & Manuel Davy ● Editora Springer US ● Cidade NY ● País US ● Publicado 2007 ● Carregável 24 meses ● Moeda EUR ● ID 2144754 ● Proteção contra cópia Adobe DRM

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