Off-line mobile-assisted vocabulary training for the developing world

نویسندگان

  • Nic J. de Vries
  • Febe de Wet
چکیده

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.

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تاریخ انتشار 2013