In this section
@inproceedings{Neo:2021:10.23919/Eusipco47968.2020.9287869,
author = {Neo, VW and Evers, C and Naylor, PA},
doi = {10.23919/Eusipco47968.2020.9287869},
publisher = {IEEE},
title = {Speech dereverberation performance of a polynomial-EVD subspace approach},
url = {http://dx.doi.org/10.23919/Eusipco47968.2020.9287869},
year = {2021}
}
TY - CPAPER
AB - The degradation of speech arising from additive background noise and reverberation affects the performance of important speech applications such as telecommunications, hearing aids, voice-controlled systems and robot audition. In this work, we focus on dereverberation. It is shown that the parameterized polynomial matrix eigenvalue decomposition (PEVD)-based speech enhancement algorithm exploits the lack of correlation between speech and the late reflections to enhance the speech component associated with the direct path and early reflections. The algorithm's performance is evaluated using simulations involving measured acoustic impulse responses and noise from the ACE corpus. The simulations and informal listening examples have indicated that the PEVD-based algorithm performs dereverberation over a range of SNRs without introducing any noticeable processing artefacts.
AU - Neo,VW
AU - Evers,C
AU - Naylor,PA
DO - 10.23919/Eusipco47968.2020.9287869
PB - IEEE
PY - 2021///
SN - 2076-1465
TI - Speech dereverberation performance of a polynomial-EVD subspace approach
UR - http://dx.doi.org/10.23919/Eusipco47968.2020.9287869
UR - http://hdl.handle.net/10044/1/80781
ER -
For more information about the group, please contact:
Dr Dan Goodman
+44 (0)20 7594 6264
d.goodman@imperial.ac.uk