UGR

Emotion recognition is attracting the attention of the research community due to its multiple applications in different fields, such as medicine or autonomous driving. In this paper, we proposed an automatic emotion recognizer system that consisted of a speech emotion recognizer (SER) and a facial emotion recognizer (FER). For the SER, we evaluated a pre-trained …

A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset Read More »

Fernández-Martínez, F., Luna-Jiménez, C., Kleinlein, R., Griol, D., Callejas, Z., & Montero, J. M. (2022). Fine-Tuning BERT Models for Intent Recognition Using a Frequency Cut-Off Strategy for Domain-Specific Vocabulary Extension. Applied Sciences, 12(3), 1610. https://doi.org/10.3390/app12031610

Emotion Recognition is attracting the attention of the research community due to the multiple areas where it can be applied, such as in healthcare or in road safety systems. In this paper, we propose a multimodal emotion recognition system that relies on speech and facial information. For the speech-based modality, we evaluated several transfer-learning techniques, …

Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning Read More »

Matějů, L., Griol, D., Callejas, Z., Molina, J. M., & Sanchis, A. (2021). An empirical assessment of deep learning approaches to task-oriented dialog management. Neurocomputing, 439, 327–339. https://doi.org/10.1016/j.neucom.2020.01.126 Repository link: https://digibug.ugr.es/bitstream/handle/10481/88561/2021_Mateju_Preprint.pdf

Conversational interfaces have recently become a ubiquitous element in both the personal sphere by easing access to services, and industrial environments by the automation of services, improved customer support and its corresponding cost savings. However, designing the dialog model used by these interfaces to decide system responses is still a hard-to-accomplish task for complex conversational …

Towards versatile conversations with data-driven dialog management and its integration in commercial platforms Read More »

Griol, D., Callejas, Z. (2022). A Comparison of Learning Approaches to Dialogue Management in Conversational Systems. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. …

A Comparison of Learning Approaches to Dialogue Management in Conversational Systems Read More »