Spoken language acquisition via human-robot interaction
This paper presents a subproject of a challenging project that explores teaching a computer human-intelligence. In the subproject, a multisensory mobile robot is used as the interface for human-computer interaction, and spoken language is taught to the computer through natural human-robot interaction. Different from state-of-the-art speech recognizers, our approach associates speech patterns directly with sensory inputs of the robot. This approach allows our system to learn multilingual speech patterns online. Further investigation of this project will include human-computer interaction that involves more modalities, and applications that use the proposed idea to train home appliances.