Abstract
AbstractIn this paper we present general guidelines for designing Computer Assisted Language Learning (CALL) applications that make use of Automatic Speech Recognition (ASR) technology. Designing such systems requires a gradual process of adaptation aimed at reaching the optimal compromise between the pedagogical and personal goals of users and the technological possibilities. We also discuss a specific case study in which we applied these guidelines and show the importance of adaptation for satisfactory system performance.KeywordsComputer Assisted Language Learning (CALL)Automatic Speech Recognition (ASR)adaptationpronunciationerror detectionfeedback
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