VisemeNet: Audio-Driven Animator-Centric Speech Animation

24 May 2018Yang ZhouZhan XuChris LandrethEvangelos KalogerakisSubhransu MajiKaran Singh

We present a novel deep-learning based approach to producing animator-centric speech motion curves that drive a JALI or standard FACS-based production face-rig, directly from input audio. Our three-stage Long Short-Term Memory (LSTM) network architecture is motivated by psycho-linguistic insights: segmenting speech audio into a stream of phonetic-groups is sufficient for viseme construction; speech styles like mumbling or shouting are strongly co-related to the motion of facial landmarks; and animator style is encoded in viseme motion curve profiles... (read more)

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