Design and implementation of audio communication system for social-humanoid robot Lumen as an exhibition guide in Electrical Engineering Days 2015
Putri Nhirun Rikasofiadewi, Ary Setijadi Prihatmanto

TL;DR
This paper presents the design and implementation of an audio communication system enabling a humanoid robot to recognize speech, identify gender, and respond naturally, used specifically as an exhibition guide at an electrical engineering event.
Contribution
It introduces an integrated audio communication system for a humanoid robot, combining speech recognition, synthesis, and gender identification modules for natural interaction.
Findings
Successfully implemented speech recognition using Google API
Achieved gender identification with FFT-based features
Enabled natural verbal responses in the robot
Abstract
Social Robot Lumen is a humanoid robot created to act like human and be human friend. In this study, Lumen scenario is limited on Lumen as an exhibition guide in Electrical Engineering Days 2015, a seminar and exhibition of electrical engineering undergraduate and graduate student of Bandung Institute of Technology. To be an exhibition guide, Lumen is equipped by Nao robot, a server, and processing applications. Audio communication system is one of the processing applications. The purpose of the system is to create verbal communication that allow Lumen to receive human voice and respond naturally to it. To be able to communicate like a human, audio communication system is built with speech recognition module to transform speech data into text, speech synthesizer module to transform text data into speech, and gender identification module to distinguish adult female and male voice. Speech…
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