ENGLISH

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

By Florian Eyben (auth.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-27298-6, 978-3-319-27299-3
DOI
10.1007/978-3-319-27299-3
Language
english
Format
PDF
Filesize
7 MB (7204319 bytes)
Series
Springer Theses
Edition
1
Pages
XXXVIII, 298\328
Time added
2016-03-14 21:35:01
Image and Speech Processing; User Interfaces and HSignal

Description

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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