Imperial College London
Alternate

DrAlastairMoore

Faculty of Engineering, Department of Electrical and Electronic Engineering

Research Fellow in Acoustic Signal Processing
 
 
 
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Contact

 

alastair.h.moore

 
 
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Location

 

809Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Guiraud:2023:10.1016/j.specom.2023.03.005,
author = {Guiraud, P and Moore, AH and Vos, RR and Naylor, PA and Brookes, M},
doi = {10.1016/j.specom.2023.03.005},
journal = {Speech Communication},
pages = {74--83},
title = {Using a single-channel reference with the MBSTOI binaural intelligibility metric},
url = {http://dx.doi.org/10.1016/j.specom.2023.03.005},
volume = {149},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In order to assess the intelligibility of a target signal in a noisy environment, intrusive speech intelligibility metrics are typically used. They require a clean reference signal to be available which can be difficult to obtain especially for binaural metrics like the modified binaural short time objective intelligibility metric (MBSTOI). We here present a hybrid version of MBSTOI that incorporates a deep learning stage that allows the metric to be computed with only a single-channel clean reference signal. The models presented are trained on simulated data containing target speech, localised noise, diffuse noise, and reverberation. The hybrid output metrics are then compared directly to MBSTOI to assess performances. Results show the performance of our single channel reference vs MBSTOI. The outcome of this work offers a fast and flexible way to generate audio data for machine learning (ML) and highlights the potential for low level implementation of ML into existing tools.
AU  - Guiraud,P
AU  - Moore,AH
AU  - Vos,RR
AU  - Naylor,PA
AU  - Brookes,M
DO  - 10.1016/j.specom.2023.03.005
EP  - 83
PY  - 2023///
SN  - 0167-6393
SP  - 74
TI  - Using a single-channel reference with the MBSTOI binaural intelligibility metric
T2  - Speech Communication
UR  - http://dx.doi.org/10.1016/j.specom.2023.03.005
UR  - http://hdl.handle.net/10044/1/103307
VL  - 149
ER  -
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