Speech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers
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2018-10-02 https://doi.org/10.14419/ijet.v7i4.11.20813 -
2-D Gabor filters, Arabic, Malay, Wiener filter. -
Abstract
In this paper, a speech enhancement method using 2D Gabor filter is proposed. The proposed filter is used to enhance Arabic phoneme speech signals that have been recorded under control environment namely indoor room recording. All the phoneme signals are spoken by Malay speakers and considered as non-native Arabic speakers. Firstly, corrupted speech signals by noise must be enhanced before further processing. The effectiveness of the suggested approach is evaluated in compare with Wiener filter. It is proven that the proposed 2D Gabor filters performed appropriately for speech enhancement purpose at different wavelengths.
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References
[1] Vaseghi, S. V. Advanced digital signal processing and noise reduction. JohnWiley and Sons, 2008.
[2] Boll, S. Suppression of acoustic noise in speech using spectral subtraction. IEEE Transactions on Acoustics, Speech, and Signal Processing, 27, 1979; 113–120.
[3] El-Fattah, M.A.A., Dessouky, M.I., Diab, S.M., El-Samie, F.E.A. Speech enhancement using an adaptive wiener filtering approach. Prog. Electromagn. Res. 4, 2008; 167–184.
[4] Chen, J., Benesty, J., Member, S., Huang, Y.A., Doclo, S. New insights into the noise reduction Wiener filter. IEEE Trans. Audio. Speech. Lang. Processing. 14, 2006; 1218–1234.
[5] Sphraim, Y., Malah, D. Speech enhancement using a minimum mean- square error short-time spectral amplitude estimator. IEEE Trans. Acoust. Speech, Signal Process. 32, 1984; 1109–1121.
[6] Djendi, M., Bendoumia, R. A new adaptive filtering subband algorithm for two-channel acoustic noise reduction and speech enhancement. Comput. Electr. Eng. 39, 2013; 2531–2550.
[7] Taşmaz, H., Erçelebi, E. Speech enhancement based on undecimated wavelet packet-perceptual filterbanks and MMSE–STSA estimation in various noise environments. Digit. Signal Process. 18, 2008; 797–812.
[8] Lun, D.P.-K., Shen, T.-W., Hsung, T.-C., Ho, D.K.C. Wavelet based speech presence probability estimator for speech enhancement. Digit. Signal Process. 22, 2012; 1161–1173.
[9] Bahoura, M., Rouat, J. Wavelet speech enhancement based on time–scale adaptation. Speech Commun. 48, 2006; 1620–1637.
[10] Ghanbari, Y., Karami-Mollaei, M.R. A new approach for speech enhancement based on the adaptive thresholding of the wavelet packets. Speech Commun. 48, 2006; 927–940.
[11] Johnson, M.T., Yuan, X., Ren, Y. Speech signal enhancement through adaptive wavelet thresholding. Speech Commun. 49, 2007; 123–133.
[12] Lu, C.-T., Wang, H.-C. Enhancement of single channel speech based on masking property and wavelet transform. Speech Commun. 41, 2003; 409–427.
[13] Lu, C.-T., Wang, H.-C. Speech enhancement using hybrid gain factor in critical-band-wavelet-packet transform. Digit. Signal Process. 17, 2007; 172–188.
[14] Almisreb, A.A., Abidin, A.F., Tahir, N. Arabic letters corpus based Malay speaker-independent. Proceedings of the IEEE 3rd Int. Conf. Syst. Eng. Technol. 2013; pp. 19–20.
[15] Daugman, J.G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Opt. Soc. Am. 2, 1985; 1160–1169.
[16] Petkov, N., Kruizinga, P. Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: Bar and grating cells. Biol. Cybern. 76, 1997; 83–96.
[17] Petkov, N. Biologically motivated computationally intensive approaches to image pattern recognition. Futur. Gener. Comput. Syst. 11, 1995; 451–465.
[18] Jones, J.P., Palmer, L. a. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. J. Neurophysiol. 58, 1987; 123.
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How to Cite
Abd Almisreb, A., Md Tahir, N., Farid Abidin, A., & Md Din, N. (2018). Speech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers. International Journal of Engineering & Technology, 7(4.11), 231-235. https://doi.org/10.14419/ijet.v7i4.11.20813Received date: 2018-10-03
Accepted date: 2018-10-03
Published date: 2018-10-02