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The HMM/SVM-based two-stage framework has been widely used for automatic phone alignment. The two-stage method uses SVM classifiers to refine the hypothesized boundaries given by the HMM-based Viterbi forced alignment. However, there are two drawbacks in using the classification model for detecting the phone boundaries. First, the training data contains only information about the boundary and far...
Identification of voice disorders has been a vital role in our life nowadays. Acoustic analysis can be useful tool to diagnose voice disorders as a complementary technique to other medicine methods such as Laryngoscopy and Stroboscopy. In this paper, we scrutinized feature reduction techniques such as principal component analysis (PCA) and linear discriminant analysis (LDA) as feature subset extraction...
Feature-based approaches are widely used in the task of extractive meeting summarization. In this paper, we analyze and evaluate the effectiveness of different types of features using forward feature selection in an SVM classifier. In addition to features used in prior studies, we introduce topic related features and demonstrate that these features are helpful for meeting summarization. We also propose...
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