Analysis of Gradient Adaptive Lattice Filter as a Pre-Processor in a Speech Separation System

Author

Ananthakrishnan, Kollengode S. ; Dogancay, Kutluyil

Author_Institution

Sch. of Electr. & Inf. Eng., Univ. of South Australia, Adelaide, SA

fYear

2006

fDate

14-17 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

This paper describes the results of the analysis of using a gradient adaptive lattice filter (GAL) as a pre-processor in speech separation system (based on adaptive decorrelation technique) to enhance the convergence rate of the system intended to perform the separation of convolutive mixtures of speech acquired from two speakers using two microphones (2S2M). A significant improvement has been observed in the convergence rate of a GAL based pre-processor, in comparison with that of a simple fixed high pass filter (HPF) based pre-processor. The preliminary and promising results are reported in this paper

Keywords

adaptive filters; gradient methods; lattice filters; source separation; speech enhancement; GAL; gradient adaptive lattice filter; microphone; pre-processor; speech separation system; Acoustic noise; Adaptive filters; Automatic speech recognition; Convergence; Decorrelation; Interference; Lattices; Loudspeakers; Speech analysis; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2006. 2006 IEEE Region 10 Conference

Conference_Location

Hong Kong

Print_ISBN

1-4244-0548-3

Electronic_ISBN

1-4244-0549-1

Type

conf

DOI

10.1109/TENCON.2006.343915

Filename

4142546