Now showing items 1-15 of 15

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      A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly 

      Montenegro Portillo, César; López Zorrilla, Asier; Olaso Fernández, Javier Mikel; Santana Hermida, Roberto; Justo Blanco, Raquel; Lozano Alonso, José Antonio; 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 ...
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      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 ...
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      Accurate Determination of the Q Quality Factor in Magnetoelastic Resonant Platforms for Advanced Biological Detection 

      Lopes, Ana Catarina; Sagasti Sedano, Ariane; Lasheras Aransay, Andoni; Muto Foresi, Virginia; Gutiérrez Etxebarria, Jon; Kouzoudis, Dimitris; Barandiarán García, José Manuel (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 ...
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      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- ...
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      Corrective Focus Detection in Italian Speech Using Neural Networks 

      López Zorrilla, Asier; De Velasco Vázquez, Mikel; Cenceschi, Sonia; 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 ...
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      Detection of Sarcasm and Nastiness: New Resources for Spanish Language 

      Justo Blanco, Raquel; Alcaide Salinas, José María; Torres Barañano, María Inés; Walker, Marilyn (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, ...
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      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 ...
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      EMPATHIC: Empathic, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly 

      López Zorrilla, Asier; De Velasco Vázquez, Mikel; Irastorza Manso, Jon; Olaso Fernández, Javier 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 ...
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      Enhanced mass sensitivity in novel magnetoelastic resonators geometries for advanced detection systems 

      González Saiz, Paula; Gandía Aguado, David; Lasheras Aransay, Andoni; Sagasti Sedano, Ariane; Quintana, Iban; Fernández Gubieda Ruiz, María Luisa; Gutiérrez Etxebarria, Jon; Arriortua Marcaida, María Isabel; Lopes, Ana Catarina (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 ...
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      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 ...
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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 ...
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      Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems 

      Serras, Manex; Torres Barañano, María Inés; Del Pozo, Arantza (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 ...
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      Subsurface chemical nanoidentification by nano-FTIR spectroscopy 

      Mester, Lars; Govyadinov, Alexander A.; Chen, Shu; Goikoetxea, Monika; Hillenbrand, Rainer (Nature, 2020-07-03)
      Nano-FTIR spectroscopy based on Fourier transform infrared near-field spectroscopy allows for label-free chemical nanocharacterization of organic and inorganic composite surfaces. The potential capability for subsurface ...
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      Tracking the Expression of Annoyance in Call Centers 

      Irastorza, Jon; Torres Barañano, María Inés (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 ...
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      User-Aware Dialogue Management Policies over Attributed Bi-Automata 

      Serras, Manex; Torres Barañano, María Inés; Del Pozo, Arantza (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 ...