Real-time speech and music classification by large audio feature space extraction [electronic resource] / Florian Eyben.

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Real-time speech and music classification by large audio feature space extraction [electronic resource] / Florian Eyben.

9783319272993 (electronic book)
3319272993 (electronic book)
9783319272986
3319272985

Cham : Springer, ©2016.

English

1 online resource.

10.1007/978-3-319-27299-3 doi

TK7895.S65

006.4/54
620

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.

"Doctoral thesis accepted by the Technische Universität München, Germany."

Includes bibliographical references.

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Description based on print version record.

Springer theses.

Print version: 9783319272986

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