3 citations · 3 across the 5 of their papers we have counts for
5 papers
A study on weakly-supervised training approaches for phoneme-level pronunciation scoring
Jazmín Vidal, Luciana Ferrer
Phoneme-level computer-assisted pronunciation training systems typically rely on phoneme-level annotations, which are costly and scarce. In this work, we investigate whether phonem…
Mispronunciation detection using self-supervised speech representations
Jazmin Vidal, Pablo Riera, Luciana Ferrer
In recent years, self-supervised learning (SSL) models have produced promising results in a variety of speech-processing tasks, especially in contexts of data scarcity. In this pap…
A transfer learning based approach for pronunciation scoring
Marcelo Sancinetti, Jazmin Vidal, Cyntia Bonomi +1
Phone-level pronunciation scoring is a challenging task, with performance far from that of human annotators. Standard systems generate a score for each phone in a phrase using mode…
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…
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…