Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging | IEEE Conference Publication | IEEE Xplore

Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging


Abstract:

This paper examines the use of a new filtered minima-controlled recursive averaging (FMCRA) noise estimation technique as a robust front-end processing to improve the per...Show More

Abstract:

This paper examines the use of a new filtered minima-controlled recursive averaging (FMCRA) noise estimation technique as a robust front-end processing to improve the performance of a distributed speech recognition (DSR) system in noisy environments. The noisy speech is enhanced by using a two-stage framework in order to simultaneously address the inefficiency of the voice activity detector (VAD) and to remedy the inadequacies of MCRA. The performance evaluation carried out on the Aurora 2 task showed that the inclusion of FMCRA in the front-end side leads to a significant improvement in DSR accuracy.
Date of Conference: 13 November 2009 - 17 December 2009
Date Added to IEEE Xplore: 08 January 2010
ISBN Information:
Conference Location: Moreno, Italy

References

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