469 citations · 808 across the 29 of their papers we have counts for
5 papers · 1 filter
EnCodecMAE: Leveraging neural codecs for universal audio representation learning
Leonardo Pepino, Pablo Riera, Luciana Ferrer
The goal of universal audio representation learning is to obtain foundational models that can be used for a variety of downstream tasks involving speech, music and environmental so…
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…
Deployment of Image Analysis Algorithms under Prevalence Shifts
Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou +5
Domain gaps are among the most relevant roadblocks in the clinical translation of machine learning (ML)-based solutions for medical image analysis. While current research focuses o…
Phone and speaker spatial organization in self-supervised speech representations
Pablo Riera, Manuela Cerdeiro, Leonardo Pepino +1
Self-supervised representations of speech are currently being widely used for a large number of applications. Recently, some efforts have been made in trying to analyze the type of…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…