DocumentCode
1909511
Title
A dynamic neural network for syllable recognition
Author
Zhong, Lin ; Shi, Yuanyuan ; Liu, Runsheng
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
5
fYear
1999
fDate
1999
Firstpage
2997
Abstract
A dynamic neural network architecture based on the time-delay neural network and the convolutional neural network is originated. The dynamic network achieves much better performance than those of MLP and TDNN when dealing with syllable recognition. Such performance is also comparable to that of the more popular HMM method
Keywords
convolution; delays; multilayer perceptrons; neural net architecture; speech recognition; MLP; TDNN; convolutional neural network; dynamic neural network architecture; syllable recognition; time-delay neural network; Cellular neural networks; Hidden Markov models; Lamination; Neural networks; Neurons; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.836002
Filename
836002
Link To Document