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020 _a9783319272993
040 _aES-MaUEC
050 4 _aTK7895.S65
_bE934 2016
082 0 4 _a621.382
100 1 _aEyben, Florian
_0Local
_998181
245 1 0 _aReal-time Speech and Music Classification by Large Audio Feature Space Extraction
_cby Florian Eyben
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XXXVIII, 298 páginas)
_b41 ilustraciones, 39 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research
_x2190-5053
505 0 _aAbstract -- Introduction -- Acoustic Features and Modelling -- Standard Baseline Feature Sets -- Real-time Incremental Processing -- Real-life Robustness -- Evaluation -- Discussion and Outlook -- Appendix -- Mel-frequency Filterbank Parameters.
520 3 _aThis 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.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 0 7 _aInterfaces de usuario
_0
_2embne
_9149839
650 7 _aIdentificación de personas
_0(OCoLC)822769
_2embne
_0
_9679662
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27299-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319272993
907 _a.b12945845
_b10-10-17
_c21-11-16
998 _am
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_a_vill
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