Parkinson's Disease Detection from Speech

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11 papers0 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Cross-Lingual Parkinson's Disease Severity Assessment Using Pre-trained Speech Embeddings: A Multi-Class Evaluation
Sep 16, 2026Simon Pals, Cristian Tejedor-GarciaParkinson's Disease Detection from Speech Parkinson's Disease
Centre for Language Studies Radboud University Nijmegen, the Netherlands
Exploiting Speech LLM Representations for Multilingual and Cross-Lingual Parkinson's Disease Detection
Sep 13, 2026Sarthak Giri, Zi Haur Pang, Tatsuya KawaharaParkinson's Disease Detection from Speech Parkinson's Disease
Graduate School of Informatics, Kyoto University, Japan
Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
Aug 13, 2026Serli Kopar, Sam Gijsen, Abner Hernandez +2Cross-Lingual Transfer Speech Processing
Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Charité–Universitätsmedizin, Department of Psychiatry and Psychotherapy, Berlin, Germany +1
Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic Interpretability
Aug 10, 2026Jiaheng Su, Yu SunMechanistic Interpretability Multimodal Anomaly Detection
Independent Researcher, Los Angeles, CA, USA · California State Polytechnic University, Pomona, CA, USA
Multi-View Speech Representation Learning for Parkinson's Disease Detection Using Context-guided Cross-modal Attention
Jun 8, 2026George Theodosiou, Loukas Ilias, Dimitris AskounisAudio Representation Learning Parkinson's Disease Detection from Speech
Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models
May 24, 2026Muhammad Ashad Kabir, Sirajam MuniraParkinson's Disease Zero-Shot Learning
School of Computing, Mathematics and Engineering, Charles Sturt University, NSW, Australia · Department of Computer Science, Rensselaer Polytechnic Institute, NY, USA
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
May 13, 2026Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3Parkinson's Disease Detection from Speech Benchmark Design
Centre for Language Studies, Radboud University, Nijmegen, the Netherlands · Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Nijmegen, the Netherlands
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Mar 23, 2026Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12Self-Supervised Speech Representation Learning Domain Adaptation
1FAU Erlangen-Nürnberg, Germany · 2UT Austin, USA · 3CMU, USA +5
Evaluating Parkinson's Disease Detection in Anonymized Speech: A Performance and Acoustic Analysis
Mar 8, 2026Carlos Franzreb, Francisco Teixeira, Ben Luks +2Parkinson's Disease Detection from Speech Parkinson's Disease
German Research Center for Artificial Intelligence, Germany · INESC-ID, Portugal · Technical University of Berlin, Germany +1
Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS
Feb 20, 2026Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni +7Parkinson's Disease Detection from Speech Domain Adaptation
School of Computer and Communication Sciences, EPFL (École polytechnique fédérale de Lausanne), Lausanne, Switzerland · Unit of Artificial Intelligence and Computer Systems, Università Campus Bio-Medico di Roma, Rome, Italy · Eustema S.p.A., Research and Development Centre, Naples, Italy +2
BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech
May 18, 2025Riad Hossain, Muhammad Ashad Kabir, Arat Ibne Golam Mowla +2Parkinson's Disease Detection from Speech Speech Processing
Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh · School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW, 2795, Australia · School of Science, Engineering and Technology, East Delta University, Chittagong, 4209, Bangladesh +1

Sep 16, 2026J/K move · Enter open · S save

Cross-Lingual Parkinson's Disease Severity Assessment Using Pre-trained Speech Embeddings: A Multi-Class Evaluation

Simon Pals, Cristian Tejedor-Garcia

Centre for Language Studies Radboud University Nijmegen, the Netherlands

Parkinson's Disease Detection from Speech Parkinson's Disease Clinical Speech Processing Cross-Lingual Transfer Speech Foundation Models Few-Shot Learning

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Parkinson's disease (PD) often manifests through speech impairments, facilitating accessible, non-invasive, and cost-effective severity assessment for early diagnosis and progression tracking. Despite advances in speech foundation models (SFMs), their cross-lingual generalization for PD severity multi-class classification remains underexplored due to limited labeled data, a lack of explainable methods and variability across languages and datasets. In this work, we evaluate pre-trained embeddings from four state-of-the-art open-source SFMs across three datasets in zero-shot and k-shot cross-lingual settings for multi-class PD severity assessment. Our results show that pre-trained speech embeddings enable meaningful cross-lingual transfer, although performance is sensitive to dataset properties, preprocessing, and adaptation strategy. Misclassifications under these conditions related to inter-speaker variability and atypical speech patterns highlight the need for more robust feature extraction and modeling for PD severity assessment while emphasizing the importance of explainability for reliable clinical insights.