Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

Sequential Bias Compensation for Robust Speech Recognition

Mohamed Afify

Department of Electrical Engineering, Cairo University, Fayoum Branch, Fayoum, Egypt

Additive bias compensation is a simple and effective technique to overcome the performance degradation caused by acoustic mismatch in speech recognition systems. Bias is usually estimated in a batch mode, assuming that its parameters are constant for the whole utterance. This paper develops a new sequential algorithm for additive bias estimation, which can potentially track time varying mismatch effects within a test utterance. Relation to recursive Kullback-Leibler technique is pointed out, and the method is tested using computer simulations and speech recognition experiments. Significant performance improvements in the recognition rate are obtained for supervised adaptation.

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Bibliographic reference.  Afify, Mohamed (1999): "Sequential bias compensation for robust speech recognition", In EUROSPEECH'99, 2821-2824.