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Fractional-DCT ADALINE method for Speech Enhancement

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  • R. Ram
  • M. N. Mohanty

Abstract

Enhancement of speech is an essential task in the most of the field along with social management. The quality of the speechisdegraded mostly in the noisy environment.Also the same can be obtained from the physical disable people. To improve the quality of the speech, different enhancement algorithms can be applied. In this paper an attempt has been taken by the help of adaptive neural network based model. The fractional DCT (FrDCT) has been utilized for the input to the model. Earlier to it the discrete cosine transform (DCT) coefficients are employed to the model for the sake of verifications. That follows the coefficients of FrDCT and the results are compared. The deteriorated speech considers in this are in vehicular environment as well as summer environment with the fan.The results obtained for different noise environment that the FrDCT-ADALINE method outperforms better than the other methods.

Suggested Citation

  • R. Ram & M. N. Mohanty, 2017. "Fractional-DCT ADALINE method for Speech Enhancement," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 210-218, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174426
    Note: Article URL: https://ijsrcseit.com/CSEIT174426
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