Real-time speech and music classification by large audio feature space extraction [electronic resource] / Florian Eyben.
Eyben, Florian.
2016
TK7895.S65
Available Online

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Title Real-time speech and music classification by large audio feature space extraction [electronic resource] / Florian Eyben.
Author Eyben, Florian.
ISBN 9783319272993 (electronic book)
3319272993 (electronic book)
9783319272986
3319272985
DOI https://doi.org/10.1007/978-3-319-27299-3
Publication Details Cham : Springer, ©2016.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-27299-3 doi
Call Number TK7895.S65
Dewey Decimal Classification 006.4/54
620
Summary 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 real-life conditions.
Note "Doctoral thesis accepted by the Technische Universität München, Germany."
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Springer theses.
Available in Other Form Print version: 9783319272986
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Record Appears in Online Resources > Ebooks
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Abstract
Introduction
Acoustic Features and Modelling
Standard Baseline Feature Sets
Real-time Incremental Processing
Real-life Robustness
Evaluation
Discussion and Outlook
Appendix
Mel-frequency Filterbank Parameters.

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