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Sarah L. Taylor

2 accepted papers

2024

PhISANet: Phonetically Informed Speech Animation Network

ICASSP 2024accepted

Realistic animation is crucial for immersive and seamless human-avatar interactions as digital avatars become more prevalent. This work presents PhISANet, an encoder-decoder model that realistically animates the face and tongue solely from speech. PhISANet leverages neural audio representations trai…

Cited by 0SourceScholar
2015

A mouth full of words: Visually consistent acoustic redubbing

ICASSP 2015accepted

This paper introduces a method for automatic redubbing of video that exploits the many-to-many mapping of phoneme sequences to lip movements modelled as dynamic visemes (Taylor et al., 2012). For a given utterance, the corresponding dynamic viseme sequence is sampled to construct a graph of possible…

Cited by 0SourceScholar