21 research outputs found
Evaluation of a system for F0 contour prediction for european portuguese
This 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 model
This 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
Analysis of Voice Fundamental Frequency Contours of Continuing and Terminating Phrases of Four Swiss German Dialects
In the present study, the F0 contours of continuing and terminating prosodic phrases of 4 Swiss German dialects are analyzed by means of the command-response model. In every model parameter, the two prosodic phrase types show significant differences: continuing prosodic phrases indicate higher phrase command magnitude and shorter durations. Locally, they demonstrate more distinct accent command amplitudes as well as durations. In addition, continuing prosodic phrases have later rises relative to segment onset than terminating prosodic phrases. In the same context, fine phonetic differences between the dialects are highlighted