Research on the Algorithm of Tibetan Speech Recognition Based on DBN

Author

Pan, Xiuqin ; Xu, Xiaona ; Zhang, Hong ; Zhao, Yue ; Cao, Yongcun

Author_Institution

Sch. of Inf. Eng., Central Univ. for Nat., Beijing

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

412

Lastpage

415

Abstract

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.

Keywords

Bayes methods; belief networks; hidden Markov models; natural languages; speech recognition; DBN; HMM; Tibetan speech recognition; dynamic Bayesian network; hidden Markov model; noise suppression; Acoustic noise; Bayesian methods; Feature extraction; Handheld computers; Hidden Markov models; Home computing; Natural languages; Personal digital assistants; Probability; Speech recognition; DBN; Speech Rocognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3505-0

Type

conf

DOI

10.1109/IITA.Workshops.2008.260

Filename

4731965