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A Novel Speech Enhancement Method Using Fourier Series Decomposition and Spectral Subtraction for Robust Speaker Identification

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Abstract

This paper presents a novel speech enhancement approach by combining Fourier series expansion and spectral subtraction. This approach is implemented in speaker identification systems where degraded speech could result in high false speaker identifications. A Fourier series is estimated for the noisy speech signals, and then spectral subtraction is used to reduce the amount of noise in order to enhance quality of the speech signals before the speaker identification process. Experimental results presented to compare between the proposed approach and the traditional methods demonstrate the ability of the proposed approach to both enhance speech quality and improve speaker recognition rates.

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Authors and Affiliations

  1. Department of Smart Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt

    Ali I. Siam

  2. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Heba A. El-khobby & Mustafa M. Abd Elnaby

  3. Department of Information Systems, Faculty of Computers and Information, Menoufia University, Menoufia, Egypt

    Hatem S. Abdelkader

  4. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt

    Fathi E. Abd El-Samie

Authors
  1. Ali I. Siam
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  2. Heba A. El-khobby
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  3. Mustafa M. Abd Elnaby
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  4. Hatem S. Abdelkader
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  5. Fathi E. Abd El-Samie
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Correspondence to Heba A. El-khobby.

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Siam, A.I., El-khobby, H.A., Elnaby, M.M.A. et al. A Novel Speech Enhancement Method Using Fourier Series Decomposition and Spectral Subtraction for Robust Speaker Identification. Wireless Pers Commun 108, 1055–1068 (2019). https://doi.org/10.1007/s11277-019-06453-4

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  • DOI: https://doi.org/10.1007/s11277-019-06453-4

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