Autonomous Speech Volume Control for Social Robots in a Noisy Environment Using Deep Reinforcement Learning

This paper presents a novel approach to automatically adjusting the speech volume of a socially assistive humanoid robot to enhance the quality of human-robot interactions. We apply the Deep Q-learning algorithm to enable the robot to adapt to the preferences of a user in the volume of the robot...

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Bibliographic Details

Published in:	2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) pp. 1263 - 1268
Main Authors:	Bui, Ha-Duong, Chong, Nak Young
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	Biomimetics Conferences Control systems Human-robot interaction Humanoid robots Q-learning Reinforcement Learning Social Human-Robot Interaction Speech enhancement Speech Volume Control
Online Access:	Get full text
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