Voice conversion to a single target speaker improves low-resource German dialect classification by up to 0.03 weighted F1, and up to 0.045 when combined with frequency masking and segment removal.
Limited training data hinders the capabilities of these models to generalize across diverse speakers and di- alectal variations
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Improving Low-Resource Dialect Classification Using Retrieval-based Voice Conversion
Voice conversion to a single target speaker improves low-resource German dialect classification by up to 0.03 weighted F1, and up to 0.045 when combined with frequency masking and segment removal.