Multichannel kalman filtering for speech ehnancement
File(s)
Accepted version
Author(s)
Xue, wei
Moore, alastair
Brookes, DM
Naylor, patrick
Type
Conference Paper
Abstract
The use of spatial information in multichannel speech enhancement methods is well established but information associated with the temporal evolution of speech is less commonly exploited. Speech signals can be modelled using an autoregressive process in the time-frequency modulation domain, and Kalman filtering based speech enhancement algorithms have been developed for single-channel processing. In this paper, a multichannel Kalman filter (MKF) for speech enhancement is derived that jointly considers the multichannel spatial information and the temporal correlations of speech. We model the temporal evolution of speech in the modulation domain and, by incorporating the spatial information, an optimal MKF gain is derived in the short-time Fourier transform domain. We also show that the proposed MKF becomes a conventional multichannel Wiener filter if the temporal information is discarded. Experiments using the signals generated from a public head-related impulse response database demonstrate the effectiveness of the proposed method in comparison to other techniques.
Date Issued
2018-09-13
Date Acceptance
2018-01-29
Citation
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
ISBN
9781538646595
ISSN
2379-190X
Publisher
IEEE
Journal / Book Title
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Copyright Statement
© 2018 IEEE.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/M026698/1
Source
IEEE Intl Conf on Acoustics, Speech and Signal Processing
Subjects
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Speech enhancement
microphone arrays
Kalman filtering
NOISE-REDUCTION
ENHANCEMENT
LCMV
Publication Status
Published
Start Date
2018-04-15
Finish Date
2018-04-20
Coverage Spatial
Calgary, Canada
Date Publish Online
2018-09-13