We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back Dominguez M, Farrus M, Wanner L. A Thematicity-based Prosody Enrichment Tool for CTS. Interspeech 2017.

Dominguez M, Farrus M, Wanner L. A Thematicity-based Prosody Enrichment Tool for CTS. Interspeech 2017.

This paper presents a demonstration of a stochastic prosody tool for enrichment of synthesized speech using SSML prosody tags applied over hierarchical thematicity spans in the context of a CTS application. The motivation for using hierarchical thematicity is exemplified, together with the capabilities of the module to generate a variety of prosody control tags within a controlled range of values depending on the input thematicity label.

Additional material:

Link: https://github.com/monikaUPF/thematicityToSSML

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