Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
This paper develops a visual environment voice expression system for a guide dog robot. This system enables the robot to recognize objects in its surroundings, register the scene, and generate text using CNN and LSTM methods for the guide dog robot to read. Then the robot conveys the visual scene recognition result by voice, which is generated by speech synthesis. The guide dog robot can guide the visually impaired person safely to the desired destination, as well as entertain the user by conveying various visual information through voice. The system is composed of object recognition, scene registration, text generation, and speech synthesis. The effectiveness of this system is confirmed through experiments conducted with our guide dog robot.
