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The Journal of The Korea Institute of Intelligent Transport Systems Vol.5 No.2 pp.1-10
잡음에 강인한 음성 인식을 위한 환경 파라미터 보상에 관한 연구
A Study on Environment Parameter Compensation Method for Robust Speech Recognition
Abstract
In this paper, VTS(Vector Taylor Series) algorithm, which was proposed by Moreno at Carnegie Mellon University in 1996, is analyzed and simulated. VTS is considered to be one of the robust speech recognition techniques where model parameter conversion technique is adapted. To evaluation performance of the VTS algorithm, We used CMN(Cepstral Mean Normalization) technique which is one of the well-known noise processing methods. And the recognition rate is evaluated when white gaussian and street noise are employed as background noise. Also, the simulation result is analyzed in order to be compared with the previous one which was performed by Moreno.
