An emotion-controllable movie dubbing model uses supervised lip-prosody alignment, phoneme enhancement, and flow matching with positive/negative classifier guidance to synthesize speech with user-chosen emotion type and intensity.
Prompt-enhanced multiple instance learning for weakly supervised video anomaly detection
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EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
An emotion-controllable movie dubbing model uses supervised lip-prosody alignment, phoneme enhancement, and flow matching with positive/negative classifier guidance to synthesize speech with user-chosen emotion type and intensity.