Authors: | Krymova, Ekaterina Nagathil, Anil Belomestny, Denis Martin, Rainer |
Title: | A new method for adaptive spectral complexity reduction of music signals |
Language (ISO): | en |
Abstract: | 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 |
Issue Date: | 2016 |
Appears in Collections: | Sonderforschungsbereich (SFB) 823 |
Files in This Item:
File | Description | Size | Format | |
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DP_6916_SFB823_Krymova_Nagathil_Belomestny_Martin.pdf | DNB | 2 MB | Adobe PDF | View/Open |
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This item is protected by original copyright
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