Design of Online Learning Platform with Vietnamese Virtual Assistant
Thi My-Thanh Nguyen, Thanh Hai Diep, Bac Bien Ngo, Ngoc-Bich Le, Xuan-Quy Dao
Abstract
This paper proposes an online learning platform with a Vietnamese Virtual Assistant (VVA) that is utilized to help instructors in presenting lessons as well as testing and assessing learners. Currently, in online learning platforms, the lesson content is recorded in videos. In the proposed approach, the lesson content is delivered through slides (PDF format) combined with the instructor's voice and face that are synthesized from the text (TTS: Text-to-Speech and SDF: Speech-driven-Face). In addition, our approach ensures the highest quality in displaying the lesson content and allows us to edit the lesson content directly from text without recording video again as the current way.