Article

Towards A Foundation Model for Clinical Voice Biomarkers

2026-05-30

Abstract excerpt

Vocal biomarkers, encompassing voice and speech [1], have largely been developed for individual conditions in isolation, limiting their generalizability across diseases and recording settings. To address this, we introduce VoiceFM, a contrastive model that learns general-purpose clinical voice representations by aligning audio embeddings with rich clinical metadata. Using the Bridge2AI-Voice dataset (984 primarily...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 02fd88e8-dcb7-5c6b-8420-28678fed834f
DOI: 10.64898/2026.05.28.26354346

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Towards A Foundation Model for Clinical Voice BiomarkersDOI 10.64898/2026.05.28.26354346Read

Speech Foundation Models for Parkinson’s Disease Detection: A Layer-Wise Comparison with Handcrafted Acoustics Across Two CohortsSemantic proximity Read

Intelligent Diagnosis of Vocal Cord Lesions via Multimodal Deep Learning:Integrating Laryngoscopy, Voice, and BiomarkersSemantic proximity Read

Ranking Pretrained Speech Embeddings in Parkinson’s Disease Detection: Does Wav2Vec 2.0 Outperform its 1.0 Version Across Speech Modes and Languages?Semantic proximity Read

Normative Speech Modeling for ALS Diagnosis with Application to Other Neurodegenerative DiseasesSemantic proximity Read

A Multimodal Sleep Foundation Model for Disease PredictionSemantic proximity Read

Vocal markers of schizophrenia: assessing the generalizability of machine learning models and their clinical applicabilitySemantic proximity Read

Statistical, Multi-scale and Attention-based Layer Pooling of Wav2Vec-2 Speech Embeddings for Parkinson’s Disease DetectionSemantic proximity Read

Analyzing wav2vec embedding in Parkinson’s disease speech: A study on cross-database classification and regression tasksSemantic proximity Read

Omicron detection with large language models and YouTube audio dataSemantic proximity Read

Bridging Acoustic and Semantic Spaces for Interpretable Voice Scoring via Zero-Shot Semantic ExpansionSemantic proximity Read

Automated speech analysis for risk detection of depression, anxiety, insomnia, and fatigue: Algorithm Development and Validation StudySemantic proximity Read

Explainable Artificial Intelligence to Diagnose Early Parkinson’s Disease via Voice AnalysisSemantic proximity Read