Noise augmentation yields the largest gains for pathological speech enhancement while generative methods can degrade performance, though a gap to neurotypical speech remains.
On Using the UA-Speech and Torgo Databases to Validate Automatic Dysarthric Speech Classification Approaches
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Data Augmentation for Pathological Speech Enhancement
Noise augmentation yields the largest gains for pathological speech enhancement while generative methods can degrade performance, though a gap to neurotypical speech remains.