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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836002
