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Introduction to Audio Analysis
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Bridge the gap between theory and practice with Introduction to Audio Analysis: A MATLAB(R) Approach, the first book to address audio analysis from a signal processing perspective, including an extensive library of MATLAB(R) functions.

Table of Contents

Introduction Getting Familiar with Audio Signals Frequency Domain Representations and Filtering Audio Features Audio Classification Audio Segmentation Audio Alignment and Temporal Modelling Music Information Retrieval Appendix A: The Matlab Audio Analysis Library Appendix B: Audio-related Libraries and Software Appendix C: Audio Datasets

About the Author

Theodoros Giannakopoulos is a Research Associate in the Institute of Informatics and Telecommunications, National Center for Scientific Research DEMOKRITOS, Greece and in the Department of Informatics & Telecommunications of the University of Athens (UOA). He received his Ph.D. degree in Audio Analysis from UOA, in 2009. His main research interests are pattern recognition, data mining, and multimedia analysis. Aggelos Pikrakis is a Lecturer in the Department of Informatics at the University of Piraeus. His research interests stem from the fields of pattern recognition, audio and image processing, and music information retrieval. He is also the co-author of Introduction to Pattern Recognition: A MATLAB Approach (Academic Press, 2010).

Reviews

"...written in a sparse but graceful style, skillfully edited, and well bound. It is mostly suitable for the reader seriously interested in audio analysis who likes a mathematical programming approach to the subject."-Computing Reviews "This new book on audio content analysis and the associated toolbox is highly recommended to audio signal processing practitioners. It can even serve as a first introduction to the more general area of pattern classification."--Computing Reviews,November 13,2014 "...excellent starting point for those who would like to learn about audio analysis techniques and develop practical skills for using MATLAB to perform audio analysis tasks." -- Noise Control Engineering Journal,May-June 2014

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