A dynamic neural network for syllable recognition

作者: Lin Zhong , Yuanyuan Shi , Runsheng Liu

DOI: 10.1109/IJCNN.1999.836002

关键词:

摘要: A dynamic neural network architecture based on the time-delay and convolutional is originated. The achieves much better performance than those of MLP TDNN when dealing with syllable recognition. Such also comparable to that more popular HMM method.

参考文章(6)
A. Waibel, H. Sawai, K. Shikano, Modularity and scaling in large phonemic neural networks IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 37, pp. 1888- 1898 ,(1989) , 10.1109/29.45535
Kevin J. Lang, Alex H. Waibel, Geoffrey E. Hinton, A time-delay neural network architecture for isolated word recognition Neural Networks. ,vol. 3, pp. 23- 43 ,(1990) , 10.1016/0893-6080(90)90044-L
A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, K.J. Lang, Phoneme recognition using time-delay neural networks IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 37, pp. 393- 404 ,(1989) , 10.1109/29.21701
Y. Le Cun, L.D. Jackel, B. Boser, J.S. Denker, H.P. Graf, I. Guyon, D. Henderson, R.E. Howard, W. Hubbard, Handwritten digit recognition: applications of neural network chips and automatic learning IEEE Communications Magazine. ,vol. 27, pp. 41- 46 ,(1989) , 10.1109/35.41400