8 citations · 16 across the 8 of their papers we have counts for
9 papers
MindEval2: Clinically Grounded Patients and Rubrics for Evaluating Language Models in Mental Health Support
John Mendonça, Daniel Tschernutter, José Pombal +6
With people increasingly turning to AI chatbots for mental health support, the need to evaluate these tools is becoming more pressing. Recent benchmarks attempt to mimic a realisti…
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…
Risk Governance for Generative AI Mental Health Support: A Multi-Turn Safety Architecture
Anabela C. Areias, Catarina Botelho, António Farinhas +7
Large language models (LLMs) are increasingly used for emotional support despite lacking mechanisms to safely govern evolving mental health risk. Existing safety approaches primari…
FalAR: A Large-scale Speaker-Annotated European Portuguese Speech Corpus of Parliamentary Sessions
Francisco Teixeira, Carlos Carvalho, Mariana Julião +7
State-of-the-art performance for Automatic Speech Recognition (ASR) largely depends on the availability of large-scale labeled corpora. This creates a demand for increased data col…
CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Carlos Carvalho, Francisco Teixeira, Catarina Botelho +9
Existing resources for Automatic Speech Recognition in Portuguese are mostly focused on Brazilian Portuguese, leaving European Portuguese (EP) and other varieties under-explored. T…
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…
Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis
David Gimeno-Gómez, Catarina Botelho, Anna Pompili +2
Recent works in pathological speech analysis have increasingly relied on powerful self-supervised speech representations, leading to promising results. However, the complex, black-…
Speech as a Biomarker for Disease Detection
Catarina Botelho, Alberto Abad, Tanja Schultz +1
Speech is a rich biomarker that encodes substantial information about the health of a speaker, and thus it has been proposed for the detection of numerous diseases, achieving promi…
Pathological speech detection using x-vector embeddings
Catarina Botelho, Francisco Teixeira, Thomas Rolland +2
The potential of speech as a non-invasive biomarker to assess a speaker's health has been repeatedly supported by the results of multiple works, for both physical and psychological…