TORRES Humberto Maximiliano
congresos y reuniones científicas
Argentine Spanish segmental duration prediction
HUMBERTO MAXIMILIANO TORRES; JORGE ALBERTO GURLEKIAN
Simposio; 13th Argentine Symposium on Technology, 41 JAIIO; 2012
In this paper we model the segmental duration of Spanish spoken in Buenos Aires, considering its application in a text-to-speech system. The work was performed on two hand labeled databases. We use articial neural networks as predictor, and all the input features can be extracted automatically from the speech text. We experimented with a neural network for all phonemes and one neural network for phoneme. In both cases the results are very promising for the two databases used. The order of importance of input features revealed to be dierent for each of the methods tested and dierent according to the speaker style.