Fractional-DCT ADALINE method for Speech Enhancement

Authors

  • R. Ram  Department of Electronics and Communication Engineering Siksha ]O' Anusandhan University, Bhubaneswar, Odisha, India
  • M. N. Mohanty  Department of Electronics and Communication Engineering Siksha ]O' Anusandhan University, Bhubaneswar, Odisha, India

Keywords:

Adaptive Linear Neuron, Fractional Discrete Cosine Transform, Filtering, Segmental Signal-to-Noise Ratio, Mean Opinion Score, Speech Enhancement.

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-09-30

Issue

Volume 2, Issue 7, September-2017

Section

Research Articles

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Copyright (c) IJSRCSEIT

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How to Cite

[1]
R. Ram, M. N. Mohanty, " Fractional-DCT ADALINE method for Speech Enhancement, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.210-218, September-2017.