Modelling the emergence of speech sound categories in evolving connectionist systems

被引：0
|
作者：
Taylor, J [1 ]
Kasabov, N [1 ]
Kilgour, RL [1 ]
机构：
[1] Univ Otago, Dept Linguist, Dunedin, New Zealand
来源：
PROCEEDINGS OF THE FIFTH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1 AND 2 | 2000年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We report on the clustering of nodes in internally represented acoustic space. Learners of different languages partition perceptual space distinctly. Here, an Evolving Connectionist-Based System (ECOS) is used to model the perceptual space of New Zealand English. Currently, the system evolves in an unsupervised, self-organising manner. The perceptual space can be visualised, and the important features of the input patterns analysed. Additionally, the path of the internal representations can be seen. The results here will be used to develop a supervised system that can be used for speech recognition based on the evolved, internal sub-word units.
引用
收藏
页码：A844 / A847
页数：4
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