Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech
Many acoustic features and machine learning models have been studied to build automatic
detection systems to distinguish dysarthric speech from healthy speech. These systems can …
detection systems to distinguish dysarthric speech from healthy speech. These systems can …
[HTML][HTML] Analyzing Wav2Vec 1.0 Embeddings for Cross-Database Parkinson's Disease Detection and Speech Features Extraction
O Klempíř, R Krupička - Sensors, 2024 - mdpi.com
Advancements in deep learning speech representations have facilitated the effective use of
extensive unlabeled speech datasets for Parkinson's disease (PD) modeling with minimal …
extensive unlabeled speech datasets for Parkinson's disease (PD) modeling with minimal …
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model
Speech is known to carry health-related attributes, which has emerged as a novel venue for
remote and long-term health monitoring. However, existing models are usually tailored for a …
remote and long-term health monitoring. However, existing models are usually tailored for a …
Graph Neural Networks for Parkinsons Disease Detection
Despite the promising performance of state of the art approaches for Parkinsons Disease
(PD) detection, these approaches often analyze individual speech segments in isolation …
(PD) detection, these approaches often analyze individual speech segments in isolation …
UTran-DSR: a novel transformer-based model using feature enhancement for dysarthric speech recognition
Over the past decade, the prevalence of neurological diseases has significantly risen due to
population growth and aging. Individuals suffering from spastic paralysis, brain attack, and …
population growth and aging. Individuals suffering from spastic paralysis, brain attack, and …
Impact of Speech Mode in Automatic Pathological Speech Detection
Automatic pathological speech detection approaches yield promising results in identifying
various pathologies. These approaches are typically designed and evaluated for …
various pathologies. These approaches are typically designed and evaluated for …
Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
M Maisonneuve, C Fredouille, M Lalain, A Ghio… - arXiv preprint arXiv …, 2024 - arxiv.org
Head and Neck Cancers (HNC) significantly impact patients' ability to speak, affecting their
quality of life. Commonly used metrics for assessing pathological speech are subjective …
quality of life. Commonly used metrics for assessing pathological speech are subjective …
Apprentissage profond pour l'analyse de la parole pathologique: étude comparative entre modèles CNN et à base de transformers
M Maisonneuve, C Fredouille, M Lalain… - Actes de JEP-TALN …, 2024 - inria.hal.science
Les cancers des voies aérodigestives supérieures (VADS) ont un impact significatif sur la
capacité des patients à s' exprimer, ce qui affecte leur qualité de vie. Les évaluations …
capacité des patients à s' exprimer, ce qui affecte leur qualité de vie. Les évaluations …