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Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Springer Theses)

Florian Eyben




[PDF.kc32] Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Springer Theses)

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 | #7823973 in Books |  2017-06-15 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,.0 | File type: PDF | 298 pages

||From the Back Cover||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 i

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 spe...

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