Sub-band, dual-channel adaptive noise cancellation using normalised LMS

Author

Darlington, David J. ; Campbell, Douglas R.

Author_Institution

Dept. of Electr. & Electron. Eng., Paisley Univ., UK

fYear

1996

Firstpage

327

Lastpage

330

Abstract

An adaptive noise cancellation scheme for speech processing is described. Adaptive filters are implemented in sub-bands, based on a model of the human cochlea. A modification to the LMS structure is introduced which guarantees stability and convergence. This modification, a non-recursive normalisation, is used both in a wideband and in a sub-band implementation of the scheme. The effect of this normalisation is to cause the speech to be distorted, indicating that there is little benefit in using normalised LMS in a sub-band scheme, whether the application uses classical or intermittent noise cancellation

Keywords

adaptive filters; adaptive signal processing; convergence of numerical methods; ear; filtering theory; interference suppression; least mean squares methods; noise; speech enhancement; speech intelligibility; speech processing; LMS structure modification; adaptive filters; classical noise cancellation; convergence; dual channel adaptive noise cancellation; human cochlea model; intermittent noise cancellation; nonrecursive normalisation; normalised LMS; speech distortion; speech enhancement; speech intelligibility; speech processing; stability; subband implementation; subband noise cancellation; wideband implementation; Adaptive filters; Convergence; Degradation; Least squares approximation; Noise cancellation; Signal processing algorithms; Speech enhancement; Speech processing; Stability; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Conference_Location

Loen

Print_ISBN

0-7803-3629-1

Type

conf

DOI

10.1109/DSPWS.1996.555527

Filename

555527