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Now showing items 11-17 of 17
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 ...
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 ...
EMPATHIC: Empathic, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly
(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 ...