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

Autor:	Siam, Ali I., El-khobby, Heba A., Elnaby, Mustafa M. Abd, Abdelkader, Hatem S., El-Samie, Fathi E. Abd
Předmět:	SPEECH enhancement FOURIER series AUTOMATIC speech recognition SEPARATION of variables SPEECH synthesis SYSTEM identification IDENTIFICATION SUBTRACTION (Mathematics)
Zdroj:	Wireless Personal Communications; Sep2019, Vol. 108 Issue 2, p1055-1068, 14p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink