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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- ...
Adding dimensional features for emotion recognition on speech
(IEEE, 2020-10-20)
Developing accurate emotion recognition systems requires extracting suitable features of these emotions. In this paper, we propose an original approach of parameters extraction based on the strong, theoretical and empirical, ...
Contrasting the Emotions identified in Spanish TV debates and in Human-Machine Interactions
(ISCA, 2020-03-24)
This work is aimed to contrast the similarities and differences for the emotions identified in two very different scenarios: human-to-human interaction on Spanish TV debates and human-machine interaction with a virtual ...
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 ...
A Spanish Corpus for Talking to the Elderly
(Springer, 2020-10-25)
In this work, a Spanish corpus that was developed, within the EMPATHIC project (http://www.empathic-project.eu/) framework, is presented. It was designed for building a dialogue system capable of talking to elderly people ...
Iruzurrezko portaeren detekzioa crowd motako etiketazioan
(Udako Euskal Unibertsitatea, 2019-05)
This work aims at detecting low quality labels in crowdsourcing annotation tasks. We validate our proposal carrying out experiments in a difficult and subjective task: emotion recognition. We have developed several measures ...
Euskaraz hitz egiten ikasten duten makina autodidaktak
(Udako Euskal Unibertsitatea, 2019-05)
Lan honetan sare neuronalen bidez euskaraz hitz egiten ikasten duen elkarrizketa sistema automatikoa aurkezten dugu. Horretarako, Turingen testaren ideia era konputazionalean inplementatzen duten sare neuronal sortzaile ...
SPIN at MentalRiskES 2023: Transformer-Based Model for Real-Life Depression Detection in Messaging Apps
(CEUR-WS, 2023)
Depression is a prevalent and severe mental health condition that significantly impacts global population, causing personal suffering and reduced quality of life. Its symptoms are often visible on social media and digital ...