Total: 1
This paper investigates on the improvement of T-Tilt modeling, a modified Tilt model specifically designed for F0 modeling in tonal languages. The model has proved to work well for F0 analysis but suffers from texttoF0 prediction. To optimize, the T-Tilt event is restricted to span over the whole syllable unit which helps reduce the number of parameters significantly. F0 interpolation and smoothing processes often performed in preprocessing are avoided to prevent modeling errors. F0 shape preclassification and parameter clustering are introduced for better modeling. Evaluation results using the optimized model show the significant improvement for both F0 analysis and prediction.