Robot speech learning via entropy guided LVQ and memory association

Qiong Liu, S. Levinson, Ying Wu, T. Huang
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)  
The goal of this project is to teach a computer-robot system to understand human speech through natural humancomputer interaction. To achieve this goal, we develop an interactive and incremental learning algorithm based on entropy-guided LVQ and memory association. Supported by this algorithm, the robot has the potential to learn unlimited sounds progressively. Experimental results of a multilingual short-speech learning task are given ajler the presentation of the learning system. Further
more » ... ystem. Further investigation of this learning system will include human-computer interactions that involve more modalities, and applications that use the proposed idea to train home appliances.
doi:10.1109/ijcnn.2001.938504 fatcat:j3n3x2greng4titv7huo2my6d4