Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions
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Naik, GR and Wang, W (2012) Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions International Journal of Electronics, 99 (10). pp. 1333-1350.
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Abstract
In this article, a novel method is proposed to measure the separation qualities of statistically instantaneous audio signals with mixed Gaussian probability distributions. This study evaluates the impact of the Probability Distribution Function (PDF) of the mixed signals on the outcomes of both sub-and super-Gaussian distributions. Different Gaussian measures are evaluated by using various spectral-distortion measures. It aims to compare the different audio mixtures from both super-Gaussian and sub-Gaussian perspectives. Extensive computer simulation confirms that the separated sources always have super-Gaussian characteristics irrespective of the PDF of the signals or mixtures. The result based on the objective measures demonstrates the effectiveness of source separation in improving the quality of the separated audio sources. © 2012 Copyright Taylor and Francis Group, LLC.
| Item Type: | Article | |||||||||
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| Date : | 1 October 2012 | |||||||||
| Identification Number : | https://doi.org/10.1080/00207217.2011.582450 | |||||||||
| Depositing User : | Symplectic Elements | |||||||||
| Date Deposited : | 28 Mar 2017 13:25 | |||||||||
| Last Modified : | 28 Mar 2017 13:25 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/804523 |
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