Real-time Speech and Music Classification by Large Audio Feature Space Extraction
(Sprache: Englisch)
This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music. Itdefines several standard acoustic parameter sets and describes theirimplementation in a...
Jetzt vorbestellen
versandkostenfrei
Buch (Gebunden)
160.49 €
80 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Real-time Speech and Music Classification by Large Audio Feature Space Extraction “
Klappentext zu „Real-time Speech and Music Classification by Large Audio Feature Space Extraction “
This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music. Itdefines several standard acoustic parameter sets and describes theirimplementation in a novel, open-source, audio analysis framework calledopenSMILE, which has been accepted and intensively used worldwide. The bookoffers extensive descriptions of key methods for the automatic classificationof speech and music signals in real-life conditions and reports on theevaluation of the framework developed and the acoustic parameter sets that wereselected. It is not only intended as a manual for openSMILE users, but also andprimarily as a guide and source of inspiration for students and scientists involvedin the design of speech and music analysis methods that can robustly handlereal-life conditions.Inhaltsverzeichnis zu „Real-time Speech and Music Classification by Large Audio Feature Space Extraction “
Abstract.- 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.
Bibliographische Angaben
- Autor: Florian Eyben
- 2016, 1st ed. 2016, XXXVIII, 298 Seiten, 39 farbige Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319272985
- ISBN-13: 9783319272986
- Erscheinungsdatum: 06.01.2016
Sprache:
Englisch
Kommentar zu "Real-time Speech and Music Classification by Large Audio Feature Space Extraction"
0 Gebrauchte Artikel zu „Real-time Speech and Music Classification by Large Audio Feature Space Extraction“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Real-time Speech and Music Classification by Large Audio Feature Space Extraction".
Kommentar verfassen