Signal Processing Methods for Music Transcription

Name: Signal Processing Methods for Music Transcription
Brand: Springer-Verlag New York Inc.
SKU: 9781441940353
Price: 827.34 RON
Availability: InStock

Autor: Anssi Klapuri, Manuel Davy

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Editura: Springer-Verlag New York Inc.

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827.34 lei

This book serves as an ideal starting point for newcomers and an excellent reference source for peop...

Informații despre carte

Autor

Anssi Klapuri, Manuel Davy

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

440

EAN

9781441940353

ISBN

1441940359

Enbook ID

01422563

Editura

Springer-Verlag New York Inc.

Greutate

692

Dimensiuni

242 x 161 x 30

Descriere completă

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.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 book aims to serve 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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Signal Processing Methods for Music Transcription

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