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EMD based clear recursive thresholding (EMD-CRT) for speech enhancement

Authors: Nageswara Rao Saggurti; Jaya Shankar;

EMD based clear recursive thresholding (EMD-CRT) for speech enhancement

Abstract

In this paper, a novel speech enhancement approach was proposed to improve the quality of the speech contaminated with various types of non-stationary noises. An EMD based clear recursive thresholding (EMD-CRT) approach was proposed in this approach, inspired by wavelet thresholding. This approach performs the thresholding operation on the noisy speech recursively, such that the non-stationary noises are getting filtered effectively. To evaluate the performance, the proposed approach was tested under various levels of SNR and also for various types of non-stationary noises like babble noise, car noise, restaurant noise and airport noise. A comparative analysis was also done with earlier approach to check the performance of the proposed approach. A subjective speech quality evaluation was also done by performing the mean opinion score (MOS).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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