Noise reduction approach for Arabic phonemes articulated by Malay speakers
Speech recognition; Arabic. Malay; Computational time; Gamma correction; Gamma function; Modified equation; Speech segmentation; Speech waveforms; Zero crossing rate; Signal processing
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-23818 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-238182023-05-29T14:52:06Z Noise reduction approach for Arabic phonemes articulated by Malay speakers Almisreb A.A. Tahir N.M. Abidin A.F. Din N.M. 50460937600 56168849900 26666522700 9335429400 Speech recognition; Arabic. Malay; Computational time; Gamma correction; Gamma function; Modified equation; Speech segmentation; Speech waveforms; Zero crossing rate; Signal processing Noise reduction in speech signal is significant due to its worthy applications like VoIP, Speech Recognition and Cellular calls. In this paper, a method for noise reduction in Arabic phonemes speech waveforms based on corpus collected from nonnative Arabic speakers is investigate, specifically Malay. Firstly, each speaker is required to articulate the 28 Arabic alphabets without any pre-training. The proposed method combines both Gamma correction function and Negative function, in order to eliminate and reduce the unvoiced signals. In addition, a modified equation of the Gamma correction function is proposed to be used separately from the negative function. Results attained showed that the proposed method capable to enhance the quality and the computational time as well. Based on the spectrogram, the proposed method has shown advantages as compared to Zero-Crossing Rate approach. Experimental results showed that reduction in noise is attained by increasing the gamma value. � 2018 IEEE. Final 2023-05-29T06:52:06Z 2023-05-29T06:52:06Z 2018 Conference Paper 10.1109/CSPA.2018.8368724 2-s2.0-85048748516 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048748516&doi=10.1109%2fCSPA.2018.8368724&partnerID=40&md5=22f451c3ea89d6af1984951181003202 https://irepository.uniten.edu.my/handle/123456789/23818 267 271 Institute of Electrical and Electronics Engineers Inc. Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Speech recognition; Arabic. Malay; Computational time; Gamma correction; Gamma function; Modified equation; Speech segmentation; Speech waveforms; Zero crossing rate; Signal processing |
author2 |
50460937600 |
author_facet |
50460937600 Almisreb A.A. Tahir N.M. Abidin A.F. Din N.M. |
format |
Conference Paper |
author |
Almisreb A.A. Tahir N.M. Abidin A.F. Din N.M. |
spellingShingle |
Almisreb A.A. Tahir N.M. Abidin A.F. Din N.M. Noise reduction approach for Arabic phonemes articulated by Malay speakers |
author_sort |
Almisreb A.A. |
title |
Noise reduction approach for Arabic phonemes articulated by Malay speakers |
title_short |
Noise reduction approach for Arabic phonemes articulated by Malay speakers |
title_full |
Noise reduction approach for Arabic phonemes articulated by Malay speakers |
title_fullStr |
Noise reduction approach for Arabic phonemes articulated by Malay speakers |
title_full_unstemmed |
Noise reduction approach for Arabic phonemes articulated by Malay speakers |
title_sort |
noise reduction approach for arabic phonemes articulated by malay speakers |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806426024376795136 |
score |
13.214268 |