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On Estimating Age and Gender from Parkinson's Disease Diagnostic-Oriented Recordings Using Wav2Vec 2.0

2025-12-29 health informatics Title + abstract only
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Can self-supervised speech foundation models (SFMs) be used for automatic patient metadata extraction, even when no prior demographic information is available and speech is affected by pathology? SFMs show strong cross-task generalization, yet it remains unclear to what extent demographic attributes such as age and gender are intrinsically encoded, particularly in pathological speech. This study evaluated the capability of a pretrained SFM Wav2Vec 2.0 to estimate age and gender across healthy co...

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