DocumentCode
2328842
Title
The Hybrid Model of Speech Recognition Based on HMM and HMMNN
Author
Wang Sheguo ; Tong Jianing ; Yuan Yujin
Author_Institution
Coll. of Inf. & Electr. Eng., Hebei Univ. of Eng., Handan
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
3
Abstract
Based on hidden Markov model (HMM) and Improved probabilistic neural network (PNN) model, after analyzing the respective superiority of them in dealing with speech recognition propose a kind of hybrid model of speech recognition and a algorithm that adapt to the hybrid model. The results show that this model has better recognition effect than HMM.
Keywords
hidden Markov models; neural nets; probability; speech recognition; HMMNN; hidden Markov model; improved probabilistic neural network; speech recognition; Algorithm design and analysis; Artificial neural networks; Educational institutions; Hidden Markov models; Information analysis; Neural networks; Random sequences; Speech analysis; Speech recognition; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5138116
Filename
5138116
Link To Document