6 papers
Unsupervised Approaches for Global Prosodic Embedding Extraction
Martin Meza, Luciana Ferrer, Pablo Riera
Prosody is central to oral communication, conveying information like the emotional state of the speaker and cues needed for meaning disambiguation. Many self-supervised models of s…
Better audio representations are more brain-like: linking model-brain alignment with performance in downstream auditory tasks
Leonardo Pepino, Pablo Riera, Juan Kamienkowski +1
Artificial neural networks are increasingly powerful models of brain computation, yet it remains unclear whether improving their performance in downstream tasks also makes their in…
Study on the Fairness of Speaker Verification Systems on Underrepresented Accents in English
Mariel Estevez, Luciana Ferrer
Speaker verification (SV) systems are currently being used to make sensitive decisions like giving access to bank accounts or deciding whether the voice of a suspect coincides with…
Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bolaños, Leonardo Pepino, Martin Meza +1
Most modern approaches for audio processing are opaque, in the sense that they do not provide an explanation for their decisions. For this reason, various methods have been propose…
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems
Mariel Estevez, Cyntia Bonomi, Dayana Ribas +2
We conducted a comprehensive analysis of an Automatic Voice Disorders Detection (AVDD) system using existing voice disorder datasets with available demographic metadata. The study…
Good practices for evaluation of machine learning systems
Luciana Ferrer, Odette Scharenborg, Tom Bäckström
Many development decisions affect the results obtained from ML experiments: training data, features, model architecture, hyperparameters, test data, etc. Among these aspects, argua…