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@article{Doire:2017:10.1109/TASLP.2016.2641904,
author = {Doire, CSJ and Brookes, DM and Naylor, PA and Hicks, CM and Betts, D and Dmour, MA and Jensen, SH},
doi = {10.1109/TASLP.2016.2641904},
journal = {IEEE/ACM Transactions on Audio, Speech and Language Processing},
pages = {572--587},
title = {Single-channel online enhancement of speech corrupted by reverberation and noise},
url = {http://dx.doi.org/10.1109/TASLP.2016.2641904},
volume = {25},
year = {2017}
}

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TY  - JOUR
AB  - This paper proposes an online single-channel speech enhancement method designed to improve the quality of speech degraded by reverberation and noise. Based on an autoregressive model for the reverberation power and on a hidden Markov model for clean speech production, a Bayesian filtering formulation of the problem is derived and online joint estimation of the acoustic parameters and mean speech, reverberation, and noise powers is obtained in mel-frequency bands. From these estimates, a real-valued spectral gain is derived and spectral enhancement is applied in the short-time Fourier transform (STFT) domain. The method yields state-of-the-art performance and greatly reduces the effects of reverberation and noise while improving speech quality and preserving speech intelligibility in challenging acoustic environments.
AU  - Doire,CSJ
AU  - Brookes,DM
AU  - Naylor,PA
AU  - Hicks,CM
AU  - Betts,D
AU  - Dmour,MA
AU  - Jensen,SH
DO  - 10.1109/TASLP.2016.2641904
EP  - 587
PY  - 2017///
SN  - 2329-9290
SP  - 572
TI  - Single-channel online enhancement of speech corrupted by reverberation and noise
T2  - IEEE/ACM Transactions on Audio, Speech and Language Processing
UR  - http://dx.doi.org/10.1109/TASLP.2016.2641904
UR  - https://ieeexplore.ieee.org/document/7795155
UR  - http://hdl.handle.net/10044/1/43267
VL  - 25
ER  -

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