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Real-time Speech and Music Classification by Large Audio Feature Space Extraction
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488 b
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192
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249
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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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