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In order to remove the human factors improve efficiency and save the cost, National Mandarin Proficiency Test (NMPT) based on computer-aided is expected urgently. The feature parameter extraction is the most important part in the objective assessment of the Mardarin. In this paper we focus on the optimization of artificial neural network by PSO for Mandarin speech recognition. A framework of the Mandarin...
In this paper, a framework for the automatic pronunciation scoring is presented. The system included three modules which are pronunciation parameter database , evaluation model based on artificial neural network and automatic scoring module .The Mandarin proficiency test to be completed by computer-aided evaluation, not only can remove the human factor to establish uniform standards, but also save...
In this paper, we tackle the problem of automatic keyword extraction in the meeting domain, a genre significantly different from written text. For the supervised framework, we proposed a rich set of features beyond the typical TFIDF measures, such as sentence salience weight, lexical features, summary sentences, and speaker information. We also evaluate different candidate sampling approaches for...
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