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Mispronunciation detection is an important component in computer assisted language learning (CALL) system. In this work, we introduce an efficient GLDS-SVM based detection method, which is successfully used in language and speaker identification systems, and combine it with traditional methods. The main ideas include: extended MFCC features with normalized formant trajectory information, and then...
Mispronunciation detection is one of the vital tasks of the CALL (Computer Assisted Language Learning) systems. Many methods have been introduced to accomplish this task. However, few of them have addressed the detection task on confusable phones. In this paper, phone-level classifiers are utilized to improve the detection performance on the confusable phones. Features of the classifiers are posterior...
Learning team construction has already become strategic choice between objective needs and the survival of the enterprise. The enterprise pays much attention to the validity of team learning. This article constructs the performance of multi-level evaluation index system and validity evaluation of team learning mathematical model based on DEA. Combined with the case, the model is used to evaluate the...
Electrical dispersion compensation equalizer is a cost-effective element in optical communication OOK systems in the presence of chromatic dispersion. The optimization of training sequence and taps for the electrical adaptive decision feedback equalizer in a single-mode fiber communication system is studied in this paper.10-Gb/s transmission over 100 km and up to 180 km of single-mode fiber without...
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...
This paper presents an effective method for automatic pronunciation evaluation, which is based on feature extraction and combination. The proposed system extracts different kinds of evaluation features and combines them to produce an ultimate machine score, which predicts the overall pronunciation quality of a student. Experiments on a reading speech database show that most of the selected features...
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...
This paper focuses on the inclusion of more detailed linguistically relevant speech information in the Mel-Frequency Cepstral Coefficients(MFCC) feature extraction process in order to improve the recognition accuracy of LVCSR. Detailed linguistically relevant speech information feature is extracted to reflect the change of energy spectrum in each mel-frequency bank(MFB). A normalized positive weighting...
Support Vector Machines have merged as a pattern classifier and have been shown to be successful in some tasks in the realm of speech processing. This paper explores the issues involved in applying SVMs to asymmetrical situations, namely. beavy sample ratio bias between different classes and different costs for different types of misclassification error. We also present our revisions on the SMO algorithm...
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