Imperial College London

Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Speech & Acoustic Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6235p.naylor Website

 
 
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Location

 

803Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Eaton:2017:10.1109/HSCMA.2017.7895576,
author = {Eaton, DJ and javed, HA and Naylor, PA},
doi = {10.1109/HSCMA.2017.7895576},
publisher = {IEEE},
title = {Estimation of the perceived level of reverberation using non-intrusive single-channel variance of decay rates},
url = {http://dx.doi.org/10.1109/HSCMA.2017.7895576},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - The increasing processing power of hearing aids and mobile deviceshas led to the potential for incorporation of dereverberation algorithms to improve speech quality for the listener. Assessing the effectiveness of deverberation algorithms using subjective listening tests is extremely time consuming and depends on averaging out listener variations over a large number of subjects. Also, most existing instrumental measures are intrusive and require knowledge of the original signal which precludes many practical applications. In this paper we show that the proposed non-intrusive single-channel algorithm is a predictor of the perceived level of reverberation thatcorrelates well with subjective listening test results, outperforming many existing intrusive and non-intrusive measures. The algorithm requires only a single training step and has a very low computational complexity making it suitable for hearing aids and mobile telephone applications. The source code has been made freely available.
AU - Eaton,DJ
AU - javed,HA
AU - Naylor,PA
DO - 10.1109/HSCMA.2017.7895576
PB - IEEE
PY - 2017///
TI - Estimation of the perceived level of reverberation using non-intrusive single-channel variance of decay rates
UR - http://dx.doi.org/10.1109/HSCMA.2017.7895576
UR - http://hdl.handle.net/10044/1/44212
ER -