A U-Net trained on synthetically warped healthy speech predicts local Lie-group distortion fields and applies the approximate inverse, improving zero-shot ASR on dysarthric speech.
Shapes and diffeomorphisms,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
A U-Net trained on synthetically warped healthy speech predicts local Lie-group distortion fields and applies the approximate inverse, improving zero-shot ASR on dysarthric speech.