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Synthesizing realistic dysarthric speech slashes ASR error rates by over 50%, thanks to a novel rhythm-style modeling approach.
Achieve near-real-time dysarthric speech reconstruction with a 54% WER reduction by jointly training ASR and TTS with a novel frame-level adaptor and knowledge distillation.
