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Improving Speech Signal Intelligibility by Optimal Computation using Single-Channel Adaptive Filtering

by Ohidujjaman, Mahmudul Hasan, Mohammad Nurul Huda
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 9
Year of Publication: 2014
Authors: Ohidujjaman, Mahmudul Hasan, Mohammad Nurul Huda
10.5120/18547-9790

Ohidujjaman, Mahmudul Hasan, Mohammad Nurul Huda . Improving Speech Signal Intelligibility by Optimal Computation using Single-Channel Adaptive Filtering. International Journal of Computer Applications. 106, 9 ( November 2014), 15-21. DOI=10.5120/18547-9790

@article{ 10.5120/18547-9790,
author = { Ohidujjaman, Mahmudul Hasan, Mohammad Nurul Huda },
title = { Improving Speech Signal Intelligibility by Optimal Computation using Single-Channel Adaptive Filtering },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 9 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number9/18547-9790/ },
doi = { 10.5120/18547-9790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:56.437782+05:30
%A Ohidujjaman
%A Mahmudul Hasan
%A Mohammad Nurul Huda
%T Improving Speech Signal Intelligibility by Optimal Computation using Single-Channel Adaptive Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 9
%P 15-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Numerous environmental sources of noise and distortion can degrade the quality of the speech signal in a communication system. This study explores the effects of these intrusive sounds on speech applications, introduces some techniques for reducing the influence of noise and enhances the acceptability and intelligibility of the speech signal. In our research, a noise reduction system incorporates a single microphone method in time domain to improve SNRs (signal to noise ratios) of noise contaminated speech. Previously, noise reduction techniques estimate noise from the valley of the spectrum based on the harmonic properties of noisy speech, called minimum value sequences (MVS). Since the valleys of spectrum are inadequate to estimate noise reliably, we propose the estimated degree of noise (EDON) [1], [2] to adjust the amplitudes of the MVS. The salient features of the proposed method are a single-channel adaptive filter to reduce computational time and cost for optimal noise reduction, and to estimate noise continuously on a frame-by-frame basis without the aid of voice activity detector (VAD) [2]. For optimal noise reduction with a fewer number of iterations, an equation is derived from set values of SNRs and EDONs. To derive the proposed iteration number equation, we use the third degree parabola equation and least squares solution for the coefficients of EDON.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive filter degree of noise enhancement iteration number noise speech signal signal to noise ratio

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