Blind signal extraction based speech enhancement in presence of diffuse background noise

Author

Even, Jani ; Saruwatari, Hiroshi ; Shikano, Kiyohiro

Author_Institution

Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan

fYear

2009

Firstpage

513

Lastpage

516

Abstract

This paper presents a new frequency domain blind signal extraction (FD-BSE) method for the extraction of a target speech in presence of diffuse background noise. This is a fast alternative to frequency domain blind signal separation (FD-BSS) for hands-free speech interface. Like the FD-BSS approach, the speech signal is enhanced by using a nonlinear filter to suppress the noise estimated by the blind method. Simulation results in a realistic environment show the effectiveness of the proposed method.

Keywords

blind source separation; interference suppression; nonlinear filters; speech enhancement; diffuse background noise; frequency domain blind signal extraction method; nonlinear filter; speech enhancement; speech signal; target speech; Background noise; Blind source separation; Data mining; Frequency domain analysis; Frequency estimation; Microphone arrays; Nonlinear filters; Speech analysis; Speech enhancement; Wiener filter; Blind signal separation; microphone array; speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on

Conference_Location

Cardiff

Print_ISBN

978-1-4244-2709-3

Electronic_ISBN

978-1-4244-2711-6

Type

conf

DOI

10.1109/SSP.2009.5278525

Filename

5278525