DocumentCode
2767177
Title
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition
Author
Zhang, Jin ; Li, Guang ; Freeman, Walter J.
Author_Institution
Zhejiang Univ., Hangzhou
fYear
0
fDate
0-0 0
Firstpage
653
Lastpage
658
Abstract
To model mammalian olfactory neural systems, a chaotic neural network entitled k-set has been constructed. This neural network with non-convergent "chaotic" dynamics simulates biological pattern recognition. This paper reports the characteristics of the KIII set and applies it to digital classification of the sounds of Mandarin spoken digits. Experimental results show that the KIII set performs digital speech recognition efficiently.
Keywords
chaos; chemioception; neural nets; speech recognition; speech synthesis; Mandarin digital speech recognition; biological pattern recognition; chaotic neural networks; digital speech recognition; mammalian olfactory neural systems; Biological system modeling; Brain modeling; Chaos; Electroencephalography; Hidden Markov models; Negative feedback; Nerve fibers; Neural networks; Olfactory; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.246745
Filename
1716156
Link To Document