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In speech synthesis system driven by visual speech, many irrelevant and redundant features will lessen the lipreading recognition result. So it is important to select lip features with stronger discriminate performance. Feature selection algorithm based on binary particle swarm optimization (BPSO) and support vector machines (SVM) is used to select the “optimal” lip feature subset. Feature subset...
Lipreading is applied to synthesize speech for the speech-impaired people. To get a higher recognition result, concatenative feature fusion with weighting coefficients is used to integrate the geometrical feature vector of lip region and the descriptors of lip contours by Discrete Cosine Transform to get a new discriminate vector. Experiments are carried out based on HMM with different states and...
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