Now showing items 1-5 of 5
A Differentiable Generative Adversarial Network for Open Domain Dialogue
This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient-based optimization methods. We avoid the non-differentiability related ...
Emotion Detection from Speech and Text
(International Speech Communication Association, 2018-11-21)
The main goal of this work is to carry out automatic emo-tion detection from speech by using both acoustic and textualinformation. For doing that a set of audios were extracted froma TV show were different guests discuss ...
EMPATHIC: Empathic, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018-09)
The EMPATHIC project will research, innovate, explore and validatenew paradigms and platforms, laying the foundation for future generations of Per-sonalised Virtual Coaches to assist elderly people living independently ...
Corrective Focus Detection in Italian Speech Using Neural Networks
(Óbuda University, 2018-11)
The corrective focus is a particular kind of prosodic prominence where the speaker is intended to correct or to emphasize a concept. This work develops an Artificial Cognitive System (ACS) based on Recurrent ...
Can Spontaneous Emotions be Detected from Speech on TV Political Debates?
Decoding emotional states from multimodal signals is an increasingly active domain, within the framework of affective computing, which aims to a better understanding of Human-Human Communication as well as to improve Human- ...