A two-stage cascade of self-supervised training followed by Meta Pseudo-Labeling improves unsupervised domain adaptation for Greek ASR.
We found that Meta PL is an ef- fective adaptation method, providing a straightforward and eas- ily implementable solution
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MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR
A two-stage cascade of self-supervised training followed by Meta Pseudo-Labeling improves unsupervised domain adaptation for Greek ASR.