ANALISIS DAN IMPLEMENTASI LIP READING (GERAKAN BIBIR) MENJADI TEXT PADA PENGGUNAAN BAHASA INGGRIS

Authors

  • Dayanni Vera Versanika
  • Faiqunisa

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v12i2.191

Keywords:

Tensorflow, Deep learning, Artificial Intelligence, Convolutional Neural Network (CNN), Lip reading, Bahasa Inggris

Abstract

In the rapidly evolving era of globalization, communication plays a crucial role. Understanding English, as a global language, is increasingly important for effective communication. Challenges arise when individuals need to comprehend the written form of English based on diverse pronunciations, especially for English language learners. The differences between pronunciation and written forms, along with various accents and dialects, add complexity. This research proposes an innovative method based on deep learning and Convolutional Neural Network (CNN) to translate lip movements into English text. The use of this technology is expected to assist individuals struggling to comprehend English text when spoken, enhancing communication skills, and enabling effective participation in critical situations that require oral English comprehension. Experimental results demonstrate the potential of this system in detecting lip movements in videos and translating them into text, although it still faces challenges related to variations in mouth and face positions, as well as pronunciation differences. The implementation of this technology represents a significant initial step in overcoming language barriers and facilitating improved communication in this era of globalization.

Keywords : Global communication, English, lip movement translation, deep learning, Convolutional Neural Network (CNN), Lip Reading, Artifial Intelligence, Tensorflow.

Published

2023-12-01

How to Cite

Versanika, D. V., & Faiqunisa. (2023). ANALISIS DAN IMPLEMENTASI LIP READING (GERAKAN BIBIR) MENJADI TEXT PADA PENGGUNAAN BAHASA INGGRIS. Jurnal Teknologi Informasi Dan Komunikasi, 12(2), 64–77. https://doi.org/10.58761/jurtikstmikbandung.v12i2.191

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