Imperial College London
Alternate

Mr Mike Brookes

Faculty of Engineering, Department of Electrical and Electronic Engineering

Emeritus Reader
 
 
 
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Contact

 

+44 (0)20 7594 6165mike.brookes Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

807aElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Dionelis:2017,
author = {Dionelis, N and Brookes, M},
publisher = {IEEE},
title = {Modulation-domain speech enhancement using a kalman filter with a bayesian update of speech and noise in the log-spectral domain},
url = {http://hdl.handle.net/10044/1/44299},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We  present  a  Bayesian  estimator  that  performs  log-spectrum  esti-mation of both speech and noise, and is used as a Bayesian Kalmanfilter update step for single-channel speech enhancement in the mod-ulation domain.  We use Kalman filtering in the log-power spectraldomain rather than in the amplitude or power spectral domains.  Inthe Bayesian Kalman filter update step, we define the posterior dis-tribution of the clean speech and noise log-power spectra as a two-dimensional multivariate Gaussian distribution. We utilize a Kalmanfilter observation constraint surface in the three-dimensional space,where the third dimension is the phase factor.  We evaluate the re-sults of the phase-sensitive log-spectrum Kalman filter by comparingthem with the results obtained by traditional noise suppression tech-niques and by an alternative Kalman filtering technique that assumesadditivity of speech and noise in the power spectral domain.
AU  - Dionelis,N
AU  - Brookes,M
PB  - IEEE
PY  - 2017///
TI  - Modulation-domain speech enhancement using a kalman filter with a bayesian update of speech and noise in the log-spectral domain
UR  - http://hdl.handle.net/10044/1/44299
ER  -
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