000 | 03045nam a22005535i 4500 | ||
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001 | 978-3-319-27299-3 | ||
003 | DE-He213 | ||
005 | 20200421112041.0 | ||
007 | cr nn 008mamaa | ||
008 | 151224s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319272993 _9978-3-319-27299-3 |
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024 | 7 |
_a10.1007/978-3-319-27299-3 _2doi |
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050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
072 | 7 |
_aTTBM _2bicssc |
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072 | 7 |
_aUYS _2bicssc |
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072 | 7 |
_aTEC008000 _2bisacsh |
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072 | 7 |
_aCOM073000 _2bisacsh |
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082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aEyben, Florian. _eauthor. |
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245 | 1 | 0 |
_aReal-time Speech and Music Classification by Large Audio Feature Space Extraction _h[electronic resource] / _cby Florian Eyben. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXXXVIII, 298 p. 41 illus., 39 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
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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 | _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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aComputational linguistics. | |
650 | 0 | _aAcoustical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
650 | 2 | 4 | _aEngineering Acoustics. |
650 | 2 | 4 | _aComputational Linguistics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319272986 |
830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-27299-3 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56655 _d56655 |