ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Adaptation of neural network model: comparison of multilayer perceptron and LVQ

Dongxin Xu, Dao Wen Chen, Qian Ma, Bo Xu, Taiyi Huang

This paper explores the adaptation features of Multilayer Perceptron and LVQ3 under the speech phoneme recognition experiment. The result shows that Multilayer Perceptron can adapt to novel data easily but may lose the high performance on old data, and by contrast LVQ3 can maintain what it has learnt in the past but is hard to adjust itself to fit the novel data* if a relative great difference lies between the old and novel data. In order to gain a better adaptation algorithm, some modifications are added to LVQ3 and better results are achieved under the same experiment. A method to add in new code vectors for LVQ3 is also examined and a better result is also achieved. Finally, Some problems of the proposed algorithms are discussed.


Cite as: Xu, D., Chen, D.W., Ma, Q., Xu, B., Huang, T. (1994) Adaptation of neural network model: comparison of multilayer perceptron and LVQ. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1567-1570

@inproceedings{xu94_icslp,
  author={Dongxin Xu and Dao Wen Chen and Qian Ma and Bo Xu and Taiyi Huang},
  title={{Adaptation of neural network model: comparison of multilayer perceptron and LVQ}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1567--1570}
}