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By far there are more than 1.2 million Dai compatriots using Dai language in Yunnan province, researching Dai speech synthesis has great significance in advancing the informationization of Dai. This paper focuses on the study of the implementation of Dai speech synthesis by taking the HMM speech synthesis framework and STRAIGHT synthesizer into account. The methods of collection and selection of Dai...
This paper proposes approaches for multi-labeled text categorization based on the boosting algorithms.We discussed the performances of various feature selection methods for multi-labeled TC. Besides the multi-labeled categorization, we also make efforts on ranking the labels assigned to the texts.
In this paper the effectiveness of three neural networks, the competitive, the backpropagation (BP) and the radial basis function (RBF), in text classification is examined. The competitive network is a kind of unsupervised learning which is used in data clustering. The BP network is one of the most widely used models among artificial neural network patterns and the RBF network has also showed its...
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