3 citations · 6 across the 4 of their papers we have counts for
10 papers
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
Leonardo Pepino, Pablo Riera, Luciana Ferrer
Emotion recognition datasets are relatively small, making the use of the more sophisticated deep learning approaches challenging. In this work, we propose a transfer learning metho…
Out of a hundred trials, how many errors does your speaker verifier make?
Niko Brümmer, Luciana Ferrer, Albert Swart
Out of a hundred trials, how many errors does your speaker verifier make? For the user this is an important, practical question, but researchers and vendors typically sidestep it a…
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…
A Speaker Verification Backend with Robust Performance across Conditions
Luciana Ferrer, Mitchell McLaren, Niko Brummer
In this paper, we address the problem of speaker verification in conditions unseen or unknown during development. A standard method for speaker verification consists of extracting…
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…