In this paper we propose an entropy-optimized channel error mitigation technique with a low computational complexity and moderate memory requirements, suitable for transmissions over wireless channels. We apply it to Distributed Speech Recognition (DSR), getting an improvement of around 3% in word accuracy over the recognition performance obtained by the mitigation technique proposed in the ETSI standard for DSR (ETSIES- 201-108 v1.1.2) for bad channel conditions (GSMEP3 error pattern).
Cite as: Sanchez, V., Peinado, A.M., Gomez, A.M., Perez-Cordoba, J.L. (2003) Entropy-optimized channel error mitigation with application to speech recognition over wireless. Proc. 8th European Conference on Speech Communication and Technology (Eurospeech 2003), 1089-1092, doi: 10.21437/Eurospeech.2003-359
@inproceedings{sanchez03_eurospeech,
author={Victoria Sanchez and Antonio M. Peinado and Angel M. Gomez and Jose L. Perez-Cordoba},
title={{Entropy-optimized channel error mitigation with application to speech recognition over wireless}},
year=2003,
booktitle={Proc. 8th European Conference on Speech Communication and Technology (Eurospeech 2003)},
pages={1089--1092},
doi={10.21437/Eurospeech.2003-359}
}