105 citations · 161 across the 13 of their papers we have counts for
4 papers · 1 filter
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
As part of the Human-Computer Interaction field, Expressive speech synthesis is a very rich domain as it requires knowledge in areas such as machine learning, signal processing, so…
A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach
Noé Tits
In this project, we aim to build a Text-to-Speech system able to produce speech with a controllable emotional expressiveness. We propose a methodology for solving this problem in t…
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
Noé Tits, Fengna Wang, Kevin El Haddad +2
The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques. Producing realistic speech becomes possible now. As a consequence…
Exploring Transfer Learning for Low Resource Emotional TTS
Noé Tits, Kevin El Haddad, Thierry Dutoit
During the last few years, spoken language technologies have known a big improvement thanks to Deep Learning. However Deep Learning-based algorithms require amounts of data that ar…