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Springer - Computational Analysis of Sound Scenes and Events

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Description

Explore the state of the art in audio signal processing with this comprehensive guide from Springer. This book provides a complete look at computational methods used to extract useful information from sound scenes and events. It guides readers through the entire development procedure, starting with data acquisition and labeling, moving through the design of system taxonomies, and covering signal processing for feature extraction. Readers will gain knowledge on machine learning methods for sound recognition and advanced techniques for managing environmental variation. The text also addresses complex scenarios involving multiple overlapping sound sources and the advantages of multi-modal approaches. This resource is designed for those studying or working in the field of computing and sound analysis.

Key Features

This Springer publication covers the complete procedure for developing computational methods for audio signal extraction.

Learn essential steps ranging from data acquisition and labeling to the design of system taxonomies.

The text provides detailed information on signal processing methods used for feature extraction.

Study machine learning methods specifically applied to sound recognition and analysis.

Gain insights into advanced techniques for handling environmental variation and overlapping sound sources.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 October 2017
Listed Since
15 June 2017

Barcode

No barcode data available

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