4 citations · 6 across the 6 of their papers we have counts for
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On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech
David Gimeno-Gómez, Rubén Solera-Ureña, Anna Pompili +5
The automatic identification of medication states of Parkinson's disease (PD) patients can assist clinicians in monitoring and scheduling personalized treatments, as well as studyi…
Tackling Cognitive Impairment Detection from Speech: A submission to the PROCESS Challenge
Catarina Botelho, David Gimeno-Gómez, Francisco Teixeira +11
This work describes our group's submission to the PROCESS Challenge 2024, with the goal of assessing cognitive decline through spontaneous speech, using three guided clinical tasks…
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…
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…