An approach to statistical lip modelling for speaker identification via chromatic feature extraction
作者： T. Wark , S. Sridharan , V. Chandran
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摘要: This paper presents a novel technique for the tracking of moving lips purpose speaker identification. In our system, model lip contour is formed directly from chromatic information in region. Iterative refinement point estimates not required. Colour features are extracted via concatenated profiles taken around contour. Reduction order obtained principal component analysis (PCA) followed by linear discriminant (LDA). Statistical models built based on Gaussian mixture (GMM). Identification experiments performed M2VTS/sup 1/ database, show encouraging results.
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