2018 INTERSPEECH INTERSPEECH 2018

Analyzing Effect of Physical Expression on English Proficiency for Multimodal Computer-Assisted Language Learning

Abstract

English proficiency is important for communication in English. Computer-Assisted Language Learning (CALL) systems are introduced to provide a convenient and low-cost language learning environment. Most of the conventional speech-based CALL systems concentrate on developing verbal fluency of the learners. However, actual English communication involves not only verbal expressions but also facial expressions and gestures, which could affect the perceived proficiency. The objective of our research is to develop a CALL system that can evaluate fluency of physical expressions as well as the verbal fluency of English. However, it is not clear how physical expressions affect the overall proficiency of English. Therefore, this study investigates the relationship between the proficiency of English and the fluency of the physical expression by analyzing the dialog data of the multimodal CALL system.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Interdisciplinary
🧭 Keyword Pioneer — english proficiency
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio