PERANCANGAN SISTEM KOMUNIKASI DUA ARAH PADA HUMANOID ROBOT BERBASIS ALGORITMA DEEP LEARNING

AKBAR, AHMAD REINALDI and Dwijayanti, Suci (2022) PERANCANGAN SISTEM KOMUNIKASI DUA ARAH PADA HUMANOID ROBOT BERBASIS ALGORITMA DEEP LEARNING. Undergraduate thesis, Sriwijaya University.

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Abstract

Humanoid robots are robots that resemble humans and can perform various activities like humans. Generally, humanoid robots can respond to every question from the interlocutor as a form of interaction in the form of two-way communication between humans and robots. Two-way communication on humanoid robots can occur because of the speech-to-text and text-to-speech systems embedded in the robot. However, research on two-way communication systems on humanoid robots using speech to text and text to speech is still limited and uses English. Therefore, in this study a two-way communication system was developed between humans and robots in real-time. The data used in this study came from 10 respondents (5 men and 5 women) and the sentences used met the standard Indonesian rules. The speech-to-textt system to convert voice into text uses a deep bidirectional long short-term memory (LSTM) algorithm and uses feature extraction Mel frequency cepstral coefficient (MFCC). The text to speech system uses the python pyttsx3 module which can convert text into speech as a robot response. The test results show that the speech to text model tested in a quiet room condition with a noise level of 57.5 - 60 dB has a good level of accuracy with an average word error rate (WER) of 25.10294% compared to the model. which is tested in conditions that have engine noise and crowds with a noise level of 62.4 – 86 dB which has a WER of 34.3635 %. This study shows that a two-way communication system can be implemented between humans and robots, where the robot can respond well to every sound that is inputted into the humanoid robot.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem komunikasi dua arah, Speech to text, Text to speech
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Ahmad Reinaldi Akbar
Date Deposited:	27 Jul 2022 04:06
Last Modified:	27 Jul 2022 04:06
URI:	http://repository.unsri.ac.id/id/eprint/74874

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