Abstract:
This paper considers the estimation of time-frequency coefficients of audio signals from the viewpoint of spectro-temporal modulation analysis. It is shown that estimator...Show MoreMetadata
Abstract:
This paper considers the estimation of time-frequency coefficients of audio signals from the viewpoint of spectro-temporal modulation analysis. It is shown that estimators employing neighborhood-smoothed shrinkage masks are closely related to modulation filters. The usefulness of this perspective is first demonstrated by separating an artificial mixture of components with different orientation in time-frequency. It is secondly shown that modulation filters can be learned directly from audio and that their usage improves the state of the art in noise-reduction by a small margin when measured by signal to noise ratio.
Date of Conference: 20-23 October 2013
Date Added to IEEE Xplore: 09 January 2014
Electronic ISBN:978-1-4799-0972-8