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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?
(IEEE, 2019)
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- ...
Unlocking the Potential of Magnetotactic Bacteria as Magnetic Hyperthermia Agents
(Wiley, 2019-10)
Magnetotactic bacteria are aquatic microorganisms that internally biomineralize chains of magnetic nanoparticles (called magnetosomes) and use them as a compass. Here it is shown that magnetotactic bacteria of the strain ...
Spoken dialogue systems: architectures and applications
(2017-11-13)
Technology and technological devices have become habitual and omnipresent. Humans need to learn tocommunicate with all kind of devices. Until recently humans needed to learn how the devices expressthemselves to communicate ...
Detection of Sarcasm and Nastiness: New Resources for Spanish Language
(Springer, 2018-06-29)
The main goal of this work is to provide the cognitive computing community with valuable resources to analyze and simulate the intentionality and/or emotions embedded in the language employed in social media. Specifically, ...
User-Aware Dialogue Management Policies over Attributed Bi-Automata
(Springer, 2018-07-30)
Designing dialogue policies that take user behavior into account is complicated due to user vari- ability and behavioral uncertainty. Attributed Prob- abilistic Finite State Bi-Automata (A-PFSBA) have proven to be a promising ...
Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems
(Springer, 2018-08-02)
User simulation is widely used to generate artificial dialogues in order to train statistical spoken dialogue systems and perform evaluations. This paper presents a neural network approach for user modeling that exploits ...
The EMPATHIC Project: Mid-term Achievements
(ACM Digital Library, 2019-08-18)
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currently provide the necessary tools to foster ...
Tracking the Expression of Annoyance in Call Centers
(Springer, 2018-08-26)
Machine learning researchers have dealt with the identification of emo- tional cues from speech since it is research domain showing a large number of po- tential applications. Many acoustic parameters have been analyzed ...
Bi-modal annoyance level detection from speech and text
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018-09)
The main goal of this work is the identification of emotional hints from speech. Machine learning researchers have analysed sets of acoustic parameters as potential cues for the identification of discrete emotional categories ...