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

  • Ali I. Siam
  • Heba A. El-khobbyEmail author
  • Mustafa M. Abd Elnaby
  • Hatem S. Abdelkader
  • Fathi E. Abd El-Samie
Article
  • 40 Downloads

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.

Keywords

Speech enhancement Speaker identification Voice authentication Fourier series Spectral subtraction 

Notes

References

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Ali I. Siam
    • 1
  • Heba A. El-khobby
    • 2
    Email author
  • Mustafa M. Abd Elnaby
    • 2
  • Hatem S. Abdelkader
    • 3
  • Fathi E. Abd El-Samie
    • 4
  1. 1.Department of Smart Network Systems Technology, Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt
  2. 2.Department of Electronics and Electrical Communications Engineering, Faculty of EngineeringTanta UniversityTantaEgypt
  3. 3.Department of Information Systems, Faculty of Computers and InformationMenoufia UniversityMenoufiaEgypt
  4. 4.Department of Electronics and Electrical Communications, Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt

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