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:
Bibliographic Details
Main Authors: Almisreb A.A., Tahir N.M., Abidin A.F., Din N.M.
Other Authors: 50460937600
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