论文信息 - Entropy-optimized channel error mitigation with application to speech recognition over wireless

Entropy-optimized channel error mitigation with application to speech recognition over wireless

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 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 (GSM EP3 error pattern).

Ángel M. Gómez | José L. Pérez-Córdoba | Antonio M. Peinado | Victoria E. Sánchez

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