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Lecture Notes in Computer Science
In this paper we studied the computer automatic scoring for English discourse oral reading. According to the view and guidelines of manual scoring, we analyzed the voices from oral reading with speech recognition technology, and extracted the series of features including reading completeness features, pronunciation accuracy features and fluency features for evaluation. We mapped these features to scores by SVM regression. In the testing of English discourse oral reading for 4000 middle schooldoi:10.1007/978-3-642-31020-1_3 fatcat:jq24glkgonhg5hc232nlo6iy2u