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Development of the knowledge-based spoken English evaluation system and its application

This paper describes the design and implementation of the practical language learning system, and the result of the automatic pronunciation scoring for non-native English speakers. Implementing the speech recognizer, featured as two refined acoustic model sets, noise-robust data compensation, phonetic alignment, reliable rejection, etc., and by using knowledge-based acoustic-phonetic parameter estimation we achieved the correlation r=0.754 with the human rating. Also we introduce a commercial language learning architecture for web-based language tutor and the other the multimedia edutainment authoring system.