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.
Original language | English |
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Pages (from-to) | 1746-1750 |
Number of pages | 5 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Volume | 2018-September |
DOIs | |
Publication status | Published - 2018 |
Event | 19th Annual Conference of the International Speech Communication, INTERSPEECH 2018 - Hyderabad, India Duration: 2018 Sep 2 → 2018 Sep 6 |
Keywords
- Computer-Assisted Language Leaning (CALL)
- Multimodal interaction
- Para-linguistic information
- Physical expressions
ASJC Scopus subject areas
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Software
- Modelling and Simulation