Browsing by Author "Fujisaki, Hiroya"
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- Evaluation of a system for F0 contour prediction for european portuguesePublication . Teixeira, João Paulo; Freitas, Diamantino Silva; Fujisaki, HiroyaThis paper presents the evaluation of a system for speech F0 contour prediction for European Portuguese using the Fujisaki model. It is composed of two command-generating sub-systems, the phrase command sub-system and the accent command sub-system. The parameters for evaluating the ability of each sub-system are described. A comparison is made between original and predicted F0 contours. Finally, the results of a perceptual test are discussed.
- Prediction of accent commands for the Fujisaki intonation modelPublication . Teixeira, João Paulo; Freitas, Diamantino Silva; Fujisaki, HiroyaThis paper presents a model to predict the accent commands (henceforth ACs) of the Fujisaki Model for the F0 contour, being known the phrase commands (henceforth FCs). Accent commands are associated with syllables. For each syllable, an artificial neural network (ANN) decides, with an accuracy of 89.4% whether there will be or not an associated AC. For syllables with associated AC, the amplitude, Aa, the onset time anticipation, T1a, and the offset time anticipation, T2a, are predicted by additional ANNs, with resulting linear correlation coefficient of 0.602, 0.743 and 0.650, respectively. The features used for each ANN are presented and discussed. Finally a comparison between target and predicted F0 contour is presented.
- Prediction of Fujisaki model’s phrase commandsPublication . Teixeira, João Paulo; Freitas, Diamantino Silva; Fujisaki, HiroyaThis paper presents a model to predict the phrase commands of the Fujisaki Model for F0 contour for the Portuguese Language. Phrase commands location in text is governed by a set of weighted rules. The amplitude (Ap) and timing (T0) of the phrase commands are predicted in separate neural networks. The features for both neural networks are discussed. Finally a comparison between target and predicted values is presented.