Autor(en): | Krymova, Ekaterina Nagathil, Anil Belomestny, Denis Martin, Rainer |
Titel: | A new method for adaptive spectral complexity reduction of music signals |
Sprache (ISO): | en |
Zusammenfassung: | In this discussion paper we present a novel unsupervised segmentation procedure for music signals which relies on an explained variance criterion in the eigenspace of the constant-Q spectral domain. The procedure is used in the context of a spectral complexity reduction method which mitigates effects of cochlear hearing loss. It is compared to a segmentation based on equidistant boundaries. The results demonstrate that the proposed segmentation procedure gives an improvement in terms of signal- to-artefacts ratio in comparison to a segmentation based on equidistant boundaries. |
URI: | http://hdl.handle.net/2003/35319 http://dx.doi.org/10.17877/DE290R-17362 |
Erscheinungsdatum: | 2016 |
Enthalten in den Sammlungen: | Sonderforschungsbereich (SFB) 823 |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
DP_6916_SFB823_Krymova_Nagathil_Belomestny_Martin.pdf | DNB | 2 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource ist urheberrechtlich geschützt. |
Diese Ressource ist urheberrechtlich geschützt. rightsstatements.org