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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics
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Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Hardcover, 1st ed. 2016)
Loot Price: R3,681
Discovery Miles 36 810
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Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Hardcover, 1st ed. 2016)
Series: Springer Theses
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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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