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Mandarin objective assessment plays a very important role in the speech assessment. It still has a long way to go before it reaches the level of success. In this paper, the novel mandarin objective assessment based on Support Vector Machine (SVM) is proposed. The mandarin pronunciation is divided into consonant, vowel and tone. And the feature parameters of pronunciation are surveyed. The experimental...
With the application of large capacity hydro turbine generating set, it is important for the hydro turbine generating set to monitoring its vibration and diagnoses its faulty. In this paper, fault diagnosis based on support vector machine is proposed for hydro turbine generating set. The most important advantage of SVM is effective for the case of lack of training samples. Some key parameters of SVM...
In this paper, we first propose a method to transform from LDA to PCA with the discriminative information embedded in a whitening transformation, and then we propose a simple support vector machine formulation to LDA. The results of experiments of face recognition conducted on ORL database show the effectiveness of the proposed method.
For nonlinear feature extraction, a new feature extraction method based on kernel maximum margin criterion (KMMC) is presented in this paper, i.e., an algorithm of statistically uncorrelated optimal discriminant vectors in kernel feature space is proposed in the paper. The proposed method has more powerful capability to eliminate the statistical correlation between features and improve efficiency...
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