Title :
The Hybrid Model of Speech Recognition Based on PNN and HMM
Author :
Wang, Sheguo ; Tong, Jianing
Author_Institution :
Coll. of Inf. & Electr. Eng., Hebei Univ. of Eng., Handan
Abstract :
Hidden Markov model (HMM) and improved probabilistic neural network (PNN) model are usually used for speech recognition, there are respective superiorities of them and some limitations in particular condition. In this paper, by analyzing and researching on the above two models, we propose a kind of hybrid model of speech recognition and give an 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; pattern classification; probability; speech recognition; HMM; PNN classification feature; hidden Markov model; probabilistic neural network model; speech recognition; Artificial neural networks; Educational institutions; Feedforward neural networks; Feeds; Frequency estimation; Gaussian processes; Hidden Markov models; Neural networks; Neurons; Speech recognition;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073188
