Text-based prediction of automatically extracted intonation contour classes
نویسنده
چکیده
In this paper classifiers for text-based prediction of intonation contour classes are compared. The contour classes were derived automatically by a method presented in Reichel (2006), and the following classifiers were utilised for prediction: Bayes classifier, C4.5 decision trees, perceptrons, and linear feedforward networks. Prediction accuracies amounted from 38.0% (Perceptron) to 66.6% (Linear Network).
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