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In this paper, we analyze three QoE-based speech quality evaluation models: PESQ, NPESQ and POLQA models. PESQ (Perceptual evaluation of speech quality) is a well known objective speech quality assessment method for speech QoE evaluation. It is formed as the ITU-T P.862 Recommendations. NPESQ (New Perceptual Evaluation of Speech Quality) model is a new objective QoE model on evaluating the speech...
A lot of study has been done on the voice QoE (Quality of Experience). However, QoE study on the background of Chinese language is scarce. PESQ (Perceptual evaluation of speech quality) is a well known objective method for the voice QoE evaluation, it is approved as ITU-T P.862 Recommendations. This paper research the accuracy of PESQ in evaluating speech codec in Chinese environment. Two 3G speech...
Outlier detection is an interesting data mining task, which detects rare events. This paper focuses on the method of outlier detection based on frequent pattern (FP method for short). First we analyze the drawback of this method, and then an improved method (LFP method for short) has been presented. Finally, we evaluate the two methods by using several datasets and the experiment results show that...
This paper proposes a new global optimization technique in which combines population migration algorithm (PMA) and radial basis function (RBF) neural networks learning algorithm for training RBF neural network. Compared with the traditional RBF training algorithm, the simulation results show that the method has a higher accuracy in a stringency and works well in avoiding sticking in local minima.
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