From raw images of the lips to articulatory parameters: a viseme-based prediction

  title={From raw images of the lips to articulatory parameters: a viseme-based prediction},
  author={Lionel Rev{\'e}ret},
This paper presents a method for the extraction of articulatory parameters from direct processing of raw images of the lips. The system architecture is made of three independent parts. First, a new greyscale mouth image is centred and downsampled. Second, the image is aligned and projected onto a basis of artificial images. These images are the eigenvectors computed from a PCA applied on a set of 23 reference lip shapes. Then, a multilinear interpolation predicts articulatory parameters from… CONTINUE READING
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