Publication:
Noise reduction approach for Arabic phonemes articulated by Malay speakers

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dc.contributor.authorAlmisreb A.A.en_US
dc.contributor.authorTahir N.M.en_US
dc.contributor.authorAbidin A.F.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid50460937600en_US
dc.contributor.authorid56168849900en_US
dc.contributor.authorid26666522700en_US
dc.contributor.authorid9335429400en_US
dc.date.accessioned2023-05-29T06:52:06Z
dc.date.available2023-05-29T06:52:06Z
dc.date.issued2018
dc.descriptionSpeech recognition; Arabic. Malay; Computational time; Gamma correction; Gamma function; Modified equation; Speech segmentation; Speech waveforms; Zero crossing rate; Signal processingen_US
dc.description.abstractNoise 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/CSPA.2018.8368724
dc.identifier.epage271
dc.identifier.scopus2-s2.0-85048748516
dc.identifier.spage267
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048748516&doi=10.1109%2fCSPA.2018.8368724&partnerID=40&md5=22f451c3ea89d6af1984951181003202
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23818
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018
dc.titleNoise reduction approach for Arabic phonemes articulated by Malay speakersen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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