Design and Implementation of the Voice Command Recognition and the Sound Source Localization System for Human-Robot Interaction

Human-robot interaction (HRI) is becoming more important nowadays. In this paper, a low-cost communication system for HRI is designed and implemented on the Scout robot and a robotic face. A hidden Markov model-based voice command detection system is proposed and a non-native database has been collected by Persian speakers, which contains 10 desired English commands. The experimental results confirm that the proposed system is capable to recognize the voice commands, and properly performs the task or expresses the right answer. Comparing the system with a trained system on the Julius native database shows a better true detection (about 10%).

Automated summary

A low-cost communication system for human-robot interaction was designed and implemented in this paper. A hidden Markov model-based voice command detection system was proposed and tested with a non-native database. Experimental results showed that the system is capable of recognizing voice commands and achieving better performance compared to a trained system on a native database.