Speech and Language Technology in Education (SLaTE 2013)
Mobile-assisted language learning applications (MALL) has significant potential in
the developing world where access to teachers and classrooms are real barriers to learning.
This demonstration of an Android-based mobile language learning application is used to teach vocabulary and employs off-line Automatic Speech Recognition (ASR) and Text-to-speech (TTS) technologies with custom-built language and acoustic models, incorporating the key design criteria outlined in the article.
Index Terms: Computer-assisted language learning (CALL), Mobile-assisted language learning (MALL), Automatic Speech Recognition (ASR), Text-to-speech (TTS) synthesis, Android, on-device ASR and TTS, game-based learning, developing world
Bibliographic reference. Vries, Nic J. de / Wet, Febe de (2013): "Off-line mobile-assisted vocabulary training for the developing world", In SLaTE-2013, 102-103.