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Reseach Article

Incorporating Auditory Masking Properties for Speech Enhancement in presence of Near-end Noise

by Premananda B. S., Uma B. V.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 15
Year of Publication: 2014
Authors: Premananda B. S., Uma B. V.
10.5120/18593-9835

Premananda B. S., Uma B. V. . Incorporating Auditory Masking Properties for Speech Enhancement in presence of Near-end Noise. International Journal of Computer Applications. 106, 15 ( November 2014), 1-6. DOI=10.5120/18593-9835

@article{ 10.5120/18593-9835,
author = { Premananda B. S., Uma B. V. },
title = { Incorporating Auditory Masking Properties for Speech Enhancement in presence of Near-end Noise },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 15 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number15/18593-9835/ },
doi = { 10.5120/18593-9835 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:39:26.695186+05:30
%A Premananda B. S.
%A Uma B. V.
%T Incorporating Auditory Masking Properties for Speech Enhancement in presence of Near-end Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 15
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking properties of the human ear to improve the intelligibility and quality of the speech signal in the presence of near-end noise. Implemented by dynamically enhancing the speech signal when the near-end noise dominates. Intelligibility and quality of enhanced speech signal are measured using SII and PESQ. Experimental results show improvement in the intelligibility and quality of the enhanced speech signal with the proposed approach over the unprocessed speech signal. This particular approach is far more efficient in overcoming the degradation of speech signals in noisy environments.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gain Masking Near-end noise Speech enhancement Speech intelligibility Speech quality