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Introduction to Audio Analysis
A MATLAB® Approach

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

Theodoros Giannakopoulos (Author), Aggelos Pikrakis (Author)

9780080993881, Elsevier Science

Hardback, published 26 February 2014

288 pages, 100 illustrations
22.9 x 15.1 x 2.3 cm, 0.68 kg

"...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

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.

  1. Introduction
  2. Getting Familiar with Audio Signals
  3. Frequency Domain Representations and Filtering
  4. Audio Features
  5. Audio Classification
  6. Audio Segmentation
  7. Audio Alignment and Temporal Modelling
  8. Music Information Retrieval

Appendix A: The Matlab Audio Analysis Library

Appendix B: Audio-related Libraries and Software

Appendix C: Audio Datasets

Subject Areas: Signal processing [UYS], Programming & scripting languages: general [UMX], Digital music: professional [UGM], Acoustic & sound engineering [TTA], Electricity, electromagnetism & magnetism [PHK]

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