A Novel Static Parameter Calculation Method For Model Compensation
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(2015)
摘要
Vector Taylor Series (VTS) based model compensation approach has been successfully applied to various robust speech recognition tasks. In this paper, we propose a novel method of variable transformation to calculate the static statistics. In addition, we provide a detailed explanation of VTS and random variable transformations adopted in some recent papers. Experiments on Aurora 4 showed that the proposed approach obtained 22.8% relative WER reduction over the traditional first-order VTS methods.
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关键词
robust speech recognition,model compensation approach,Vector Taylor Series
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