| Previous work | (2004) used a Gaussian mixture model for acoustic-prosodic information and neural network based syntactic-prosodic model and achieved pitch accent detection accuracy of 84% and IPB detection accuracy of 90% at the word level. |
| Previous work | The experiments of Ananthakrishnan and Narayanan (2008) with neural network based acoustic-prosodic model and a factored n-gram syntactic model reported 87% accuracy on accent and break index detection at the syllable level. |
| Prosodic event detection method | Our previous supervised learning approach (Jeon and Liu, 2009) showed that a combined model using Neural Network (NN) classifier for acoustic-prosodic evidence and Support Vector Machine (SVM) classifier for syntactic-prosodic evidence performed better than other classifiers. |