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

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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.

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Detail Information

Series Title

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Call Number

005.437

Publisher

Cham, Switzerland : ., 2015

Collation

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Language

English

ISBN/ISSN

978-3-319-27299-3

Classification

005.437

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

User Interfaces and Human Computer Interaction

Specific Detail Info

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Statement of Responsibility

Florian Eyben

Other Information

Cataloger

Firli

Source

https://link.springer.com/book/10.1007/978-3-319-27299-3

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