Automated Speech Recognition in language learning: Potential models, benefits and impact

Abstract

The study considers Automated Speech Recognition (ASR) in language learning arguing that speech recognition has reached a level of accuracy where it is powering automatic translation and testing. The author considers the impact of ASR technology on language teaching, describes the process of the development of appropriate pedagogical models, and explains how to prepare teachers for their application. The study will give a critical analysis of the pedagogical uses and dangers of ASR technology and address how ASR can be used to automate language assessment.

Keywords

• automated speech recognition
• asr
• elt
• speech-to-speech translation
• translation software
• speech synthesis
• automated assessment