A new method for adaptive spectral complexity reduction of music signals
Loading...
Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
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.