International audienceA trainable prosodic model called SFC (Superposition of Functional Contours), proposed by Holm and Bailly, is here applied to Castillan intonation. Training material has been kindly provided by the Speech Processing Group at UPC. We describe the labeling framework and first evaluation results that compares the original prosody of test sentences of this corpus with their prosodic rendering by the proposed model and state-of-the-art systems available on-line on the web
The way speech prosody encodes linguistic, paralinguistic and non-linguistic information via multipa...
Fujisaki’s intonation model parameterizes the F0’s contour efficiently and because of its strong phy...
The Superposition of Functional Contours (SFC) prosody model decomposes the intonation and duration ...
A trainable prosodic model called SFC (Superposition of Functional Contours), proposed by Holm and B...
International audienceA trainable prosodic model called SFC (Superposition of Functional Contours), ...
International audienceThis paper introduces a new model-constrained and data-driven system to genera...
A quantitative comparison of four different proposals for intona-tion modeling in Spanish is present...
This thesis develops a model of Spanish intonation designed to account for all possible melodic cont...
The quest for comprehensive generative models of intonation that link linguistic and paralinguistic ...
This thesis addresses the problem of generating a range of natural sounding pitch contours for speec...
This paper presents a stochastic model of French intonation contours for use in text-to-speech synth...
In this thesis we propose a technique for modelling intonation that aims to capture the patterns of ...
International audienceThe Superposition of Functional Contours (SFC) prosody model decomposes the in...
In this work, machine learning techniques have been applied for the assessment of the relevance of s...
This paper introduces a new model-constrained, data-driven method to generate prosody from metalingu...
The way speech prosody encodes linguistic, paralinguistic and non-linguistic information via multipa...
Fujisaki’s intonation model parameterizes the F0’s contour efficiently and because of its strong phy...
The Superposition of Functional Contours (SFC) prosody model decomposes the intonation and duration ...
A trainable prosodic model called SFC (Superposition of Functional Contours), proposed by Holm and B...
International audienceA trainable prosodic model called SFC (Superposition of Functional Contours), ...
International audienceThis paper introduces a new model-constrained and data-driven system to genera...
A quantitative comparison of four different proposals for intona-tion modeling in Spanish is present...
This thesis develops a model of Spanish intonation designed to account for all possible melodic cont...
The quest for comprehensive generative models of intonation that link linguistic and paralinguistic ...
This thesis addresses the problem of generating a range of natural sounding pitch contours for speec...
This paper presents a stochastic model of French intonation contours for use in text-to-speech synth...
In this thesis we propose a technique for modelling intonation that aims to capture the patterns of ...
International audienceThe Superposition of Functional Contours (SFC) prosody model decomposes the in...
In this work, machine learning techniques have been applied for the assessment of the relevance of s...
This paper introduces a new model-constrained, data-driven method to generate prosody from metalingu...
The way speech prosody encodes linguistic, paralinguistic and non-linguistic information via multipa...
Fujisaki’s intonation model parameterizes the F0’s contour efficiently and because of its strong phy...
The Superposition of Functional Contours (SFC) prosody model decomposes the intonation and duration ...