A three-stage pseudo-labeling and contrastive learning framework achieves average SRCC of 0.761 on five unseen dysarthric speech datasets for robust severity estimation.
Clin- ical assessment and interpretation of dysarthria in ALS using at- tention based deep learning AI models,
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Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
A three-stage pseudo-labeling and contrastive learning framework achieves average SRCC of 0.761 on five unseen dysarthric speech datasets for robust severity estimation.