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LLMs can guide phoneme editing to create synthetic accented speech from just a handful of examples, substantially improving ASR accuracy where training data is scarce.
Overcome the scarcity of labeled data in dysarthric speech quality assessment with a novel data augmentation framework that leverages unlabeled data and outperforms state-of-the-art methods.
