Title :
Lip parameters extraction based on projection of raw images onto reference shapes
Author :
Revéret, L. ; Benoît, C.
Author_Institution :
Inst. de la Commun. Parlee, Univ. Stendahl, Grenoble, France
Abstract :
This paper presents a method for the extraction of articulatory parameters from direct processing of raw images of the lips. After an overview of speechreading and the existing lipreading systems, a set of 23 reference lip shapes phonetically labelled, called visemes, are presented. Our system architecture can be seen as made of three independent parts. First, a new greyscale mouth image is centred and down sampled. Second, this image is projected onto a basis of images computed from the visemes. Then, a multivariate interpolation based on the visemes is applied to predict articulatory parameters from the projection coefficients
Keywords :
feature extraction; image recognition; interpolation; speech processing; articulatory parameters; direct processing; greyscale mouth image; lip parameters extraction; lipreading systems; multivariate interpolation; projection coefficients; raw images; reference shapes; speechreading; system architecture; visemes; Active shape model; Data mining; Deformable models; Humans; Image analysis; Lips; Mouth; Parameter extraction; Shape measurement; Stochastic processes;
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
DOI :
10.1109/MMSP.1997.602604