Noise reduction approach for Arabic phonemes articulated by Malay speakers

Ali Abd Almisreb, Nooritawati Md Tahir, Ahmad Farid Abidin, Norashidah Md Din

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages267-271
Number of pages5
ISBN (Electronic)9781538603895
DOIs
Publication statusPublished - 29 May 2018
Event14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018 - Penang, Malaysia
Duration: 09 Mar 201810 Mar 2018

Other

Other14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018
CountryMalaysia
CityPenang
Period09/03/1810/03/18

Fingerprint

Noise abatement
Speech recognition

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Almisreb, A. A., Tahir, N. M., Abidin, A. F., & Md Din, N. (2018). Noise reduction approach for Arabic phonemes articulated by Malay speakers. In Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018 (pp. 267-271). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA.2018.8368724
Almisreb, Ali Abd ; Tahir, Nooritawati Md ; Abidin, Ahmad Farid ; Md Din, Norashidah. / Noise reduction approach for Arabic phonemes articulated by Malay speakers. Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 267-271
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Almisreb, AA, Tahir, NM, Abidin, AF & Md Din, N 2018, Noise reduction approach for Arabic phonemes articulated by Malay speakers. in Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., pp. 267-271, 14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018, Penang, Malaysia, 09/03/18. https://doi.org/10.1109/CSPA.2018.8368724

Noise reduction approach for Arabic phonemes articulated by Malay speakers. / Almisreb, Ali Abd; Tahir, Nooritawati Md; Abidin, Ahmad Farid; Md Din, Norashidah.

Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 267-271.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Almisreb AA, Tahir NM, Abidin AF, Md Din N. Noise reduction approach for Arabic phonemes articulated by Malay speakers. In Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 267-271 https://doi.org/10.1109/CSPA.2018.8368724