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{Lightburn:2015:10.1109/ICASSP.2015.7178938,
author = {Lightburn, L and Brookes, M},
doi = {10.1109/ICASSP.2015.7178938},
pages = {5078--5082},
publisher = {IEEE},
title = {SOBM - a binary mask for noisy speech that optimises an objective intelligibility metric},
url = {http://dx.doi.org/10.1109/ICASSP.2015.7178938},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - It is known that the intelligibility of noisy speech can beimproved by applying a binary-valued gain mask to a timefrequencyrepresentation of the speech. We present theSOBM, an oracle binary mask that maximises STOI, anobjective speech intelligibility metric. We show how to determinethe SOBM for a deterministic noise signal and alsofor a stochastic noise signal with a known power spectrum.We demonstrate that applying the SOBM to noisy speech resultsin a higher predicted intelligibility than is obtained withother masks and show that the stochastic version is robust tomismatch errors in SNR and noise spectrum.
AU  - Lightburn,L
AU  - Brookes,M
DO  - 10.1109/ICASSP.2015.7178938
EP  - 5082
PB  - IEEE
PY  - 2015///
SN  - 1520-6149
SP  - 5078
TI  - SOBM - a binary mask for noisy speech that optimises an objective intelligibility metric
UR  - http://dx.doi.org/10.1109/ICASSP.2015.7178938
UR  - http://hdl.handle.net/10044/1/34414
ER  -
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