57 citations · 67 across the 6 of their papers we have counts for
6 papers
Fusion approaches for emotion recognition from speech using acoustic and text-based features
Leonardo Pepino, Pablo Riera, Luciana Ferrer +1
In this paper, we study different approaches for classifying emotions from speech using acoustic and text-based features. We propose to obtain contextualized word embeddings with B…
Assessing the impact of contextual information in hate speech detection
Juan Manuel Pérez, Franco Luque, Demian Zayat +8
In recent years, hate speech has gained great relevance in social networks and other virtual media because of its intensity and its relationship with violent acts against members o…
A Study on the Manifestation of Trust in Speech
Lara Gauder, Leonardo Pepino, Pablo Riera +4
Research has shown that trust is an essential aspect of human-computer interaction directly determining the degree to which the person is willing to use a system. An automatic pred…
Detecting Distrust Towards the Skills of a Virtual Assistant Using Speech
Leonardo Pepino, Pablo Riera, Lara Gauder +2
Research has shown that trust is an essential aspect of human-computer interaction directly determining the degree to which the person is willing to use the system. An automatic pr…
Trust-UBA: A Corpus for the Study of the Manifestation of Trust in Speech
Lara Gauder, Pablo Riera, Leonardo Pepino +4
This paper describes a novel protocol for collecting speech data from subjects induced to have different degrees of trust in the skills of a conversational agent. The protocol cons…
Exploiting user-frequency information for mining regionalisms from Social Media texts
Juan Manuel Pérez, Damián E. Aleman, Santiago N. Kalinowski +1
The task of detecting regionalisms (expressions or words used in certain regions) has traditionally relied on the use of questionnaires and surveys, and has also heavily depended o…