Autor(en): | Garczarek, Ursula Ligges, Uwe Weihs, Claus |
Titel: | Prediction of Notes from Vocal Time Series Produced by Singing Voice |
Sprache (ISO): | en |
Zusammenfassung: | Aiming at optimal prediction of the correct note corresponding to a vocal time series we trained a classification algorithm on the basis of parts of interpretations of Tochter Zion (Händel) and tested the algorithm on the remaining parts. As classification algorithm we use a radial basis function support vector machine together with a “Hidden Markov” method as a dynamisation mechanism and some smoothing for categorical data. With this we were able to obtain a minimum of 5% average classification error and a maximum of 26% on data from an experiment with 16 singers. |
Schlagwörter: | radial basis functions support vector machines classification time series prediction singing voice |
URI: | http://hdl.handle.net/2003/4921 http://dx.doi.org/10.17877/DE290R-6842 |
Erscheinungsdatum: | 2003 |
Provinienz: | Universitätsbibliothek Dortmund |
Enthalten in den Sammlungen: | Sonderforschungsbereich (SFB) 475 |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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tr01-03.pdf | DNB | 302.15 kB | Adobe PDF | Öffnen/Anzeigen |
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