4 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.AS2021★ 1 cited
Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech
John Mendonça, Rubén Solera-Ureña, Alberto Abad +1
The ComParE 2021 COVID-19 Speech Sub-challenge provides a test-bed for the evaluation of automatic detectors of COVID-19 from speech. Such models can be of value by providing test…
eess.AS2020★ 4 cited
Assessment of Parkinson's Disease Medication State through Automatic Speech Analysis
Anna Pompili, Rubén Solera-Ureña, Alberto Abad +5
Parkinson's disease (PD) is a progressive degenerative disorder of the central nervous system characterized by motor and non-motor symptoms. As the disease progresses, patients alt…