Title :
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
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;
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
DOI :
10.1109/SSP.2009.5278525