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_aTK7895.S65 _bE934 2016 |
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| 082 | 0 | 4 | _a621.382 |
| 100 | 1 |
_aEyben, Florian _0Local _998181 |
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| 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 |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 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. | |
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_aSpringerLink (Online service) _0Local _9106996 |
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_aIdentificación de personas _0(OCoLC)822769 _2embne _0 _9679662 |
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_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) |
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_a.b12945845 _b10-10-17 _c21-11-16 |
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