Produktbild: Real-time Speech and Music Classification by Large Audio Feature Space Extraction

Real-time Speech and Music Classification by Large Audio Feature Space Extraction

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Springer Theses

ISBN: 3319801112
ISBN 13: 9783319801117
Autor: Eyben, Florian
Verlag: Springer Verlag GmbH
Umfang: xxxviii, 298 S., 2 s/w Illustr., 39 farbige Illustr., 298 p. 41 illus., 39 illus. in color.
Erscheinungsdatum: 30.03.2018
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle reallife conditions.

Artikelnummer: 5461910 Kategorie:

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