Introduction to Audio Analysis

Informationen zum Autor 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). 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, audio coding and music information retrieval are all addressed in detail, along with material on basic audio processing, frequency domain representations and filtering, and introductory psychoacoustics. 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. ...

Autorentext

Forensic scientists are responsible for analyzing evidence collected at crime scenes and providing expert testimony related to the evidence during trials. While some forensic scientists do go out in the field to collect evidence, this is a job that is usually done by forensic or crime scene investigative technicians. Forensic scientists work closely with police and other law enforcement agencies in order to determine how and why a criminal act was perpetrated and to find the guilty person.

The aim of this book is to review the United State's Federal Rules of Evidence, regarding expert testimony and will include a multi-disciplinary look at the strengths and weaknesses in forensic science courtroom testimony. The statutes and the effects of judicial uses or non-use of the FRE, Daubert, Kumho, and the 2009 NAS report on Forensic Science will be included. The presentation will expand to study case law, legal opinions and studies on the reliability and pitfalls of forensic expertise in the US court system. Forensic Science Testimony will be useful in preparation for courtroom testimony, as well as classroom instruction.

Klappentext

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, audio coding and music information retrieval are all addressed in detail, along with material on basic audio processing, frequency domain representations and filtering, and introductory psychoacoustics. 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.

Zusammenfassung

"...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

Inhalt

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