Read my points: Effect of animation type when speech-reading from EMA data
Motivated by the need for an informative, unbiased, and quantitative perceptual method for the evaluation of a talking head we are developing, we propose a new test based on the “McGurk Effect.” Our approach helps to identify strengths and weaknesses in visual--speech synthesis algorithms for talking heads and facial animations, in general, and uses this insight to guide further development. We also evaluate the <i>behavioral</i> quality of our facial animations in comparison to real-speaker footage and demonstrate our tests by applying them to our current speech-driven facial animation system.
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