Introduction to Audio Analysis: A MATLAB Approach

Theodoros Giannakopoulos, Aggelos Pikrakis

ISBN 10: 0080993885 / ISBN 13: 9780080993881

Edité par Academic Press 2014-03-03, 2014

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N° de réf. du vendeur 6666-ELS-9780080993881

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Titre : Introduction to Audio Analysis: A MATLAB ...

Éditeur : Academic Press 2014-03-03

Date d'édition : 2014

Reliure : Hardcover

Etat : New

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Présentation de l'éditeur:

Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis.

Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains.

• Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts
• Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications
• Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments