Research on the Algorithm of Tibetan Speech Recognition Based on DBN

The research on Tibetan speech recognition is in its initial stage. It is significant to research on recognition algorithm adapted for Tibetan speech. A kind of algorithm of Tibetan speech recognition, based on dynamic Bayesian network (DBN), would be investigated in this paper. The simulation on the given algorithm would be carried out, and through the comparing with the recognizing algorithm based on hidden Markov model (HMM), the results illustrated that the proposed one would be owned better in these respects of improving the ability of recognizing rate and that of resisting noise.