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Efficient MMSE-based channel error mitigation techniques. Application to distributed speech recognition over wireless channels

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4 Author(s)
Peinado, A.M. ; Dept. of Teoria de la Senal Telematica y Comunicaciones, Univ. de Granada, Spain ; Sanchez, V. ; Pérez-Córdoba, J.L. ; Rubio, A.J.

This work addresses the mitigation of channel errors by means of efficient minimum mean-square-error (MMSE) estimation. Although powerful model-based implementations have been recently proposed, the computational burden involved can make them impractical. We propose two new approaches that maintain a good level of performance with a low computational complexity. These approaches keep the simple structure and complexity of a raw MMSE estimation, although they enhance it with additional source a priori knowledge. The proposed techniques are built on a distributed speech recognition system. Different degrees of tradeoff between recognition performance and computational complexity are obtained.

Published in:

Wireless Communications, IEEE Transactions on  (Volume:4 ,  Issue: 1 )