Computational Analysis of Sound Scenes and Events (Hardcover, 1st ed. 2018)

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 authors 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2017
First published:	2018
Editors:	Tuomas Virtanen • Mark Plumbley • Dan Ellis
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Hardcover
Pages:	422
Edition:	1st ed. 2018
ISBN-13:	978-3-319-63449-4
Categories:	Books > Professional & Technical > Other technologies > General Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Audio processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-63449-6
Barcode:	9783319634494

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