The Hybrid Model of Speech Recognition Based on PNN and HMM
- Resource Type
- Conference
- Authors
- Wang, Sheguo; Tong, Jianing
- Source
- 2009 International Workshop on Intelligent Systems and Applications Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on. :1-4 May, 2009
- Subject
- Computing and Processing
Hidden Markov models
Speech recognition
Neural networks
Artificial neural networks
Educational institutions
Neurons
Frequency estimation
Feeds
Feedforward neural networks
Gaussian processes
- Language
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.