[PDF.97tz] Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Springer Theses)

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

[PDF.ph83] Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Springer Theses)

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 | #8731957 in Books |  Florian Eyben |  2017-06-15 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,.0 | File type: PDF | 298 pages

 | Real time Speech and Music Classification by Large Audio Feature Space Extraction Springer Theses

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||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...

You can specify the type of files you want, for your device.Real-time Speech and Music Classification by Large Audio Feature Space Extraction (Springer Theses)   |  Florian Eyben. A good, fresh read, highly recommended.

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