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
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;
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
DOI :
10.1109/EBISS.2009.5138116
