BackBrowsing Comunicaciones by Author "Torres, María Inés"
Now showing items 1-9 of 9
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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 ... -
A Spanish Corpus for Talking to the Elderly
Justo Blanco, Raquel; ; ; López Zorrilla, Asier ; De Velasco Vázquez, Mikel ; ; Torres Barañano, María Inés (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 ... -
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, ... -
Audio Embeddings help to learn better dialogue policies
López Zorrilla, Asier; Torres Barañano, María Inés ; (IEEE, 2021-12)
Neural transformer architectures have gained a lot of interest for text-based dialogue management in the last few years. They have shown high learning capabilities for open domain dialogue with huge amounts of data and ... -
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 ... -
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 ... -
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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Speech emotion recognition in Spanish TV Debates
; Justo Blanco, Raquel; De Velasco Vázquez, Mikel ; Torres Barañano, María Inés (ISCA, 2022)
Emotion recognition from speech is an active field of study that can help build more natural human-machine interaction systems. Even though the advancement of deep learning technology has brought improvements in this task, ...