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

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...

Full description

Saved in:
Bibliographic Details
Published in:Wireless personal communications 2019-09, Vol.108 (2), p.1055-1068
Main Authors: Siam, Ali I., El-khobby, Heba A., Elnaby, Mustafa M. Abd, Abdelkader, Hatem S., El-Samie, Fathi E. Abd
Format: Article
Language:English
Subjects:
Communications Engineering
Computer Communication Networks
Engineering
Fourier series
Networks
Noise reduction
Series expansion
Signal processing
Signal quality
Signal,Image and Speech Processing
Spectra
Speech
Speech processing
Speech recognition
Subtraction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06453-4