This paper presents an overview of speech analysis, visualization, and student response evaluation techniques that can be used for learning a foreign language by an adult learner. The general framework for student response evaluation is described. It is based on collecting experimental data about experts' and novices' performance and applying machine learning and knowledge management techniques for deriving evaluation rules. Application of the proposed approach to language learning tasks is discussed.
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