7 citations · 20 across the 12 of their papers we have counts for
5 papers · 1 filter
When Layer Selection Misleads Speech Depression Detection
Paula A. Perez-Toro, David Gimeno-Gómez, Daniel Rückert +1
Pretrained speech representations are increasingly used for depression detection, but selecting the best encoder layer on the same data used for evaluation biases reported performa…
CARE: A Multimodal Corpus for Studying Speech and Non-Verbal Communication Across Multiple Medical Conditions
David Gimeno-Gómez, Catarina Botelho, Carlos-D. Martínez-Hinarejos +2
Automatic analysis of multimodal speech has shown strong potential for computationally detecting and monitoring a wide range of neurological, psychiatric, and respiratory condition…
Cross-Modal Masking for Robust Silent Speech Synthesis Using sEMG and Lipreading
Eder del Blanco, David Gimeno-Gómez, Eva Navas +2
Speech restoration through silent speech interfaces (SSIs) has emerged as a promising assistive technology for individuals with impaired or absent laryngeal voice production. Among…
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…