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Computational Analysis of Sound Scenes and Events - Dan Ellis

Computational Analysis of Sound Scenes and Events

By: Dan Ellis (Editor), Tuomas Virtanen (Editor), Mark Plumbley (Editor)

Hardcover | 2 October 2017

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This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The contributors present computational methods that can be used to extract useful information from audio signals. They cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

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