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.
JSQA: Speech quality assessment with perceptually-inspired contrastive pretraining based on jnd audio pairs,
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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.