BackExaminar OpenAire por departamento (eus.) "Elektrizitatea eta elektronika"
Now showing items 1-20 of 26
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A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
; López Zorrilla, Asier
; ; Santana Hermida, Roberto ; Justo Blanco, Raquel ; ; Torres Barañano, María Inés (MDPI, 2019-07-11)
This paper presents a dialogue act taxonomy designed for the development of a conversational agent for elderly. The main goal of this conversational agent is to improve life quality of the user by means of coaching sessions ... -
A Differentiable Generative Adversarial Network for Open Domain Dialogue
López Zorrilla, Asier; De Velasco Vázquez, Mikel ; Torres Barañano, María Inés (2019-04)
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 ... -
A multilingual neural coaching model with enhanced long-term dialogue structure
López Zorrilla, Asier; Torres Barañano, María Inés (ACM, 2022-07-12)
In this work we develop a fully data-driven conversational agent capable of carrying out motivational coach- ing sessions in Spanish, French, Norwegian, and English. Unlike the majority of coaching, and in general well-being ... -
Accurate Determination of the Q Quality Factor in Magnetoelastic Resonant Platforms for Advanced Biological Detection
; ; Lasheras Aransay, Andoni; Muto Foresi, Virginia ; ; ; (MDPI, 2018-03)
The main parameters of magnetoelastic resonators in the detection of chemical (i.e., salts, gases, etc.) or biological (i.e., bacteria, phages, etc.) agents are the sensitivity S (or external agent change magnitude per Hz ... -
Adding dimensional features for emotion recognition on speech
; Torres Barañano, María Inés; Justo Blanco, Raquel (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, ... -
An Overview of the IberSpeech-RTVE 2022 Challenges on Speech Technologies
; Rodríguez Fuentes, Luis Javier; ; ; ; ; ; ; Peñagarikano Badiola, Mikel ; ; ; ; ; (MDPI, 2023-07-25)
Evaluation campaigns provide a common framework with which the progress of speech technologies can be effectively measured. The aim of this paper is to present a detailed overview of the IberSpeech-RTVE 2022 Challenges, ... -
Analysis of the interaction between elderly people and a simulated virtual coach
Justo Blanco, Raquel; Ben Letaifa Zouari, Leila; Palmero, Cristina; González Fraile, Eduardo; Torp Johansen, Anna; Vázquez Risco, Alain; Cordasco, Gennaro; Schlögl, Stephan; Fernández Ruanova, Begoña; Silva, Micaela; Escalera, Sergio; De Velasco Vázquez, Mikel ; Tenorio Laranga, Joffre; Esposito, Anna; Korsnes, Maria; Torres Barañano, María Inés (Springer, 2020-12)
The EMPATHIC project develops and validates new interaction paradigms for personalized virtual coaches (VC) to promote healthy and independent aging. To this end, the work presented in this paper is aimed to analyze the ... -
Antibacterial Activity Testing Methods for Hydrophobic Patterned Surfaces
(Nature, 2021-03-23)One strategy to decrease the incidence of hospital-acquired infections is to avoid the survival of pathogens in the environment by the development of surfaces with antimicrobial activity. To study the antibacterial behaviour ... -
Automatic Identification of Emotional Information in Spanish TV Debates and Human-Machine Interactions
De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; Torres Barañano, María Inés (MDPI, 2022-02-11)
Automatic emotion detection is a very attractive field of research that can help build more natural human–machine interaction systems. However, several issues arise when real scenarios are considered, such as the tendency ... -
Can Spontaneous Emotions be Detected from Speech on TV Political Debates?
De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; López Zorrilla, Asier ; Torres Barañano, María Inés (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- ... -
Contrasting the Emotions identified in Spanish TV debates and in Human-Machine Interactions
De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; Ben Letaifa Zouari, Leila; Torres Barañano, María Inés (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 ... -
Corrective Focus Detection in Italian Speech Using Neural Networks
López Zorrilla, Asier; De Velasco Vázquez, Mikel ; ; Torres Barañano, María Inés (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 ... -
Detection of Sarcasm and Nastiness: New Resources for Spanish Language
Justo Blanco, Raquel; Alcaide Salinas, José María ; Torres Barañano, María Inés ; (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, ... -
Emotion Detection from Speech and Text
De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; Antón, Josu; Carrilero, Mikel; Torres Barañano, María Inés (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
López Zorrilla, Asier; De Velasco Vázquez, Mikel ; ; ; Justo Blanco, Raquel ; Torres Barañano, María Inés (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 ... -
Enhanced mass sensitivity in novel magnetoelastic resonators geometries for advanced detection systems
González Saiz, Paula; Gandia Aguado, David; Lasheras Aransay, Andoni; Sagasti Sedano, Ariane; ; ; ; Arriortua Marcaida, María Isabel ; (Elsevier, 2019-10-01)
Acoustic wave based sensors have a major impact in the detection of low concentration of biological and chemical agents. Magnetoelastic resonator platforms are particularly interesting due to their low cost and wireless ... -
Euskaraz hitz egiten ikasten duten makina autodidaktak
López Zorrilla, Asier; De Velasco Vázquez, Mikel ; Justo Blanco, Raquel (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 ... -
First Steps to Develop a Corpus of Interactions between Elderly and Virtual Agents in Spanish with Emotion Labels
Ben Letaifa Zouari, Leila; De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; Torres Barañano, María Inés (SLSP 2019, 2019-10)
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Iruzurrezko portaeren detekzioa crowd motako etiketazioan
De Velasco Vázquez, Mikel; López Zorrilla, Asier ; Justo Blanco, Raquel (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 ... -
Perceptual borderline for balancing multi-class spontaneous emotional data
Ben Letaifa Zouari, Leila; Torres Barañano, María Inés (IEEE, 2021-04-07)
Speech is a behavioural biometric signal that can provide important information to understand the human intends as well as their emotional status. The paper is centered on the speech-based identification of the seniors’s ...