Multi-Band Speech Enhancement for Functional MRI

Author

Ramachandran, V. ; Panahi, I.M.S. ; Hu, Y. ; Loizou, P.C. ; Briggs, R.W. ; McCaslin, S.R.

Author_Institution

Dept. of Electr. Eng., Texas Univ., Dallas, TX

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

We present an adaptive enhancement method for speech signal corrupted by the 3 Tesla (3T) functional magnetic resonance imaging (fMRI) acoustic noise. The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized least mean squares (NLMS) algorithm for updating the co-efficients of the adaptive filters in both wideband and in multi-band implementations. The NLMS algorithm is used to ensure faster convergence and stability. The multi-band method shows a better performance than the conventional wideband method resulting in a better noise reduction. It is shown that the distortion introduced by the band-pass filters limits the overall speech enhancement when the number of bands increases beyond an optimal value

Keywords

acoustic noise; adaptive filters; band-pass filters; biomedical MRI; least mean squares methods; speech enhancement; acoustic noise; adaptive enhancement method; adaptive filters; band-pass filters; functional MRI; functional magnetic resonance imaging; multiband speech enhancement; noise cancellation; noise reduction; normalized least mean squares; speech signal; Acoustic noise; Adaptive filters; Convergence; Frequency; Magnetic noise; Magnetic resonance imaging; Magnetic separation; Noise cancellation; Speech enhancement; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660876

Filename

1660876