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In this paper, we propose the effective similarity feature-based selection and classification algorithm to select similarity features on the training images and to classify face images in face recognition system. The experiments are conducted on The ORL Database of Faces, which consists of 400 images of 40 individuals. Two face recognition systems, one based on the histogram-based feature, and the...
This paper proposes a unit-selection and waveform concatenation speech synthesis system based on synthetic speech naturalness evaluation. A Support Vector Machine (SVM) and Log Likelihood Ratio (LLR) based synthetic speech naturalness evaluation system was introduced in our previous work. In this paper, the evaluation system is improved in three aspects. Finally, a unit-selection and concatenation...
In this paper, an automatic prosodic phrase boundary labeling method for speech synthesis database is presented. This method can be divided into two stages: training stage and labeling stage. In training stage, context-dependent HMM, which is commonly adopted in the HMM-based parametric speech synthesis, is estimated using the training database with manual prosodic labeling. In labeling stage, the...
The highly efficient and accurate oil security pre-warning is of important significance for China, a big consumption nation, to establish the scientific safeguarding countermeasures. The SVM approach was employed herein to make empirical analysis on the oil security based on the optimal selection of oil security pre-warning indices. The results show that the oil security will be under the exposure...
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