DiFlowDubber is the first video dubbing system using a discrete flow matching backbone with two-stage training that pre-trains a zero-shot TTS then adapts it via cross-modal alignment to produce content-consistent, lip-synchronized speech.
Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers
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DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
DiFlowDubber is the first video dubbing system using a discrete flow matching backbone with two-stage training that pre-trains a zero-shot TTS then adapts it via cross-modal alignment to produce content-consistent, lip-synchronized speech.