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In many applications, such as hands-free telephony and smart environments, there is a need to distinguish voice from background noise and reverberation. A proposed system computes an information-theoretic coherency between multiple microphones in order to detect near-field speech. The system performance was compared to that of a reference case in both simulations and experiments. While all such systems degrade with increasing noise and reverberation, the proposed system proved to be more robust under adverse conditions.
Author (s): Talantzis, Fotios; Constantinides, Anthony G.
Affiliation:
Autonomic and Grid Computing Group, Athens Information Technology, Athens, Greece; Dept. of Electrical & Electronic Engineering, Imperial College London, London, UK
(See document for exact affiliation information.)
Publication Date:
2009-11-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=15230
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Talantzis, Fotios; Constantinides, Anthony G.; 2009; A Multimicrophone Voice Activity Detection System Based on Mutual Information [PDF]; Autonomic and Grid Computing Group, Athens Information Technology, Athens, Greece; Dept. of Electrical & Electronic Engineering, Imperial College London, London, UK; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15230
Talantzis, Fotios; Constantinides, Anthony G.; A Multimicrophone Voice Activity Detection System Based on Mutual Information [PDF]; Autonomic and Grid Computing Group, Athens Information Technology, Athens, Greece; Dept. of Electrical & Electronic Engineering, Imperial College London, London, UK; Paper ; 2009 Available: https://aes2.org/publications/elibrary-page/?id=15230
@article{talantzis2009a,
author={talantzis fotios and constantinides anthony g.},
journal={journal of the audio engineering society},
title={a multimicrophone voice activity detection system based on mutual information},
year={2009},
volume={57},
issue={11},
pages={937-950},
month={november},}