Article

Speech-Based Parkinson's Detection Using Pre-Trained Self-Supervised Automatic Speech Recognition (ASR) Models and Supervised Contrastive Learning

2025-05-22

Abstract excerpt

Parkinson's disease (PD) through speech analysis is a promising area of research, as speech impairments are often one of the early signs of the disease. This study explores the potential of automatic speech recognition (ASR) models, namely Wav2Vec 2.0 and HuBERT, for detecting PD through fine-tuning these pre-trained models on speech data and employing transfer learning techniques. These models, pretrained on...

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Literature Corpus work: 4ac73465-88f1-5ea6-a11a-b672b3c35703
DOI: 10.20944/preprints202505.1801.v1

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