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Edge detection is a long standing but still challenging problem. Although there are many effective edge detectors, none of them can obtain ideal edges in every situation. To make the results robust for any image, we propose a new edge detection algorithm based on a two-level fusion model that combines several typical edge detectors together with new(More)
There has been a large amount of research on speech driven face animation. Particularly, recently research efforts have been demonstrated that the hidden Markov model techniques could achieve a high level of success in the field of audio/visual mapping without language information. In this paper, firstly a linear model based facial representation method was(More)
The image-based lip animation synthesis approach is one kind of promising method that synthesizes the believable talking head. This paper seeks to show an improvement in the accuracy of mouth prediction with the speech stimulus, as well as showing the method used to extract the speaking mouth correlative speech feature. Our lip animation synthesis system is(More)
The paper proposes a kind of joint feature with the geometric parameters and the color moment to represent the speaking-mouth image frames for the image-based visual speech synthesis system. The experiment results show the proposed joint feature can effectively provide the basis for classify the speaking-mouth images to distinguish the different speaking(More)
Facing the requirement of the virtual pedagogy application to have the ability of evaluating English learners' pronunciation quality, the paper proposes an automatic assessment method based on a bimodal fusion decision algorithm. The pronunciation level is scored by comparing the similarity between learner and standard's audio and video speech signals(More)
—The problem of visual speech representation for bimodal based speech recognition includes particular challenges in the modeling of the inner lip texture reflecting different pronunciations, such as the appearance of teeth and tongue. This paper proposes and analyzes several possible statistical inner lip texture descriptors to determine an effective and(More)
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