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Multi-dimensional packet classification is a key task in network applications, such as firewalls, intrusion prevention and traffic management systems. With the rapid growth of network bandwidth, wire speed multi-dimensional packet classification has become a major challenge for next-generation network processing devices. In this paper, we present a FPGA-based architecture targeting 100 Gbps packet...
In this study, we combine the Mandarin characteristics with Mandarin acoustic attribute and text information and use hierarchical model based ensemble machine learning to predict Mandarin pitch accent. Our model could make the best of advantages of prosody hierarchical structure and ensemble machine learning. When comparing our model with classification and regression tree (CART), support vector machine...
To enhance the versatility, robustness, and convergence rate of automatic classification of images, an ant-colony-based classification model is proposed in this paper. According to the characteristics of the image classification, this model adopts and improves the traditional Ant-Colony algorithm. It defines two types of ants that have different search strategies and refreshing mechanisms. The stochastic...
This paper presents a new approach that uses linguistic knowledge and pronunciation space for automatic detection of typical phone-level errors made by non-native speakers of mandarin. Firstly, linguistic knowledge of common learner mistakes is embedded in the calculation of log-posterior probability and the revised log-posterior probability (RLPP) is regarded as the measure of mispronunciation; secondly,...
Intonation assessment is an important part of Chinese CALL system. Nowadays, most systems use the correlation and RMSE features to assess the quality of the intonation of a given speech. As correlation and RMSE assign unoptimized weights to different degrees of mismatching errors, they may lead to performance degradation. In this paper, we propose a new feature called sorted error vector (SEV) for...
Prosody is an important factor for a high quality text-to- speech (TTS) system. Prosody is often described with a hierarchical structure. So the generation of the hierarchical prosody structure is very important both in the corpus building and the real-time text analysis, but the prosody labeling procedure is laborious and time consuming. In this paper, an automatic prosody boundary label system is...
Although researchers have made great progresses on music genre classification in recent years, the need for more accurate system is still not satisfied. In this paper, we propose a method for further reducing the classification error rate based on multiple classifier fusion. First of all, MFCCs and four features from MPEG-7 audio descriptor are extracted in every short time frame, and then a group...
Along with the explosive growth of the Internet, comes the proliferation of pornography. Compared with the pornographic texts and images, blue movies can do much harm to children, due to the greater realism and voyeurism of blue movies. In this paper, a framework for recognizing blue movies by fusing the audio and video information is described. A one-class Gaussian mixture model (GMM) is used to...
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