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A new cascaded spectral subtraction approach for binaural speech dereverberation and its application in source separation
conference contribution
posted on 2013-04-25, 07:58 authored by Muhammad Salman Khan, Syed M.R. Naqvi, Jonathon ChambersIn this work we propose a new binaural spectral subtraction
method for the suppression of late reverberation. The pro-
posed approach is a cascade of three stages. The first two
stages exploit distinct observations to model and suppress the
late reverberation by deriving a gain function. The musical
noise artifacts generated due to the processing at each stage
are compensated by smoothing the spectral magnitudes of the
weighting gains. The third stage linearly combines the gains
obtained from the first two stages and further enhances the
binaural signals. The binaural gains, obtained by indepen-
dently processing the left and right channel signals are com-
bined using a new method. Experiments on real data are per-
formed in two contexts: dereverberation-only and joint dere-
verberation and source separation. Objective results verify
the suitability of the proposed cascaded approach in both the
contexts.
Funding
Thanks to UET, Peshawar and the Higher Education Commission (HEC) of Pakistan for funding M. S. Khan, and the Engineering and Physical Sciences Research Council (EPSRC) of the UK (Grant number EP/H049665/1).
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
KHAN, M.S., NAQVI, S.M. and CHAMBERS, J., 2013. A new cascaded spectral subtraction approach for binaural speech dereverberation and its application in source separation. IN: IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 26-31 May 2013 Vancouver, British Columbia, Canada, pp.6566 - 6570.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publication date
2013Notes
This is a conference paper [© 2013 IEEE]. It was published in the IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE.Publisher version
Language
- en