1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2026
A Toolkit for Detecting Spurious Correlations in Speech Datasets
Lara Gauder, Pablo Riera, Andrea Slachevsky +3
We introduce a toolkit for uncovering spurious correlations between recording characteristics and target class in speech datasets. Spurious correlations may arise due to heterogene…
cs.SD2024★ 1 cited
The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets with Heterogeneous Recording Conditions
Lara Gauder, Pablo Riera, Andrea Slachevsky +3
Automated speech analysis is a thriving approach to detect early markers of Alzheimer's disease (AD). Yet, recording conditions in most AD datasets are heterogeneous, with patients…