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This paper proposes a hybrid speaker diarization system. The main body is a variational Bayes — hidden Markov model (VB-HMM) speaker diarization system. The VB-HMM speaker diarization system avoids making premature hard decision and takes advantages of soft speaker information in an iterative way. Thus, it outperforms most of mainstream speaker diarization systems. Unfortunately, this system is sensitive...
RFID technologies are making their way into numerous applications, including inventory management, supply chain, product tracking, transportation, logistics, etc. One important application is to automatically detect anomalies in RFID systems, such as missing tags, unknown tags, or cloned tags due to theft, management error, or targeted attacks. Existing solutions are all designed to detect a certain...
This paper proposes a speech/music classification system based on i-vector. An analysis of two classification methods, namely cosine distance score (CDS) and support vector machine (SVM) is performed. Two session compensation methods, within-class covariance normalization (WCCN) and linear discriminant analysis (LDA) are also discussed. The performance of proposed systems yields better results compared...
Non-negative Matrix Factorization (NMF) has been widely studied and applied to variant computer vision tasks, such as image clustering and pattern classification. Meanwhile, real world stimuli for human neural system (e.g., face images) are usually represented as high-dimensional data vectors rely on graph embedding in original Euclidean space. Thus, the traditional NMF and its variants exhibit weakness...
Radio frequency identification (RFID) is an automatic identification technology that brings a revolutionary change to quickly identify tagged objects from the collected tag IDs. Considering the misplaced and newly added tags, fast identifying such unknown tags is of paramount importance, especially in large-scale RFID systems. Existing solutions can either identify all unknown tags with low time-efficiency,...
Grasping has been well studied in the robotics and human subjects literature, and numerous taxonomies have been developed to capture the range of grasps employed in work settings or everyday life. But how completely do these taxonomies capture grasping actions that we see every day? We asked two subjects to monitor every action that they performed with their hands during a typical day, as well as...
Transaction of workflow systems composition has long-running feature which a global-transaction is divided into several sub-transactions. When the sub-transactions fail, it must back to the beginning of them, consistency property is preserved by using compensating transactions, which semantically undo the effects of the completed sub-transactions. However, the cost of compensation may be expensive...
A complex system, an industrialized process that invariably involves multiple factors, such as environmental management, human relationship and equipment may result in hazard event. However, the analytical hierarchy process(AHP), provides a methodology for multi-criteria analysis and decision making, can offer decision making support technique to help people prevent the hazard event from taking place...
This paper presents research on using Chinese phonetics knowledge in acoustic modeling based on extended initial/final (XIF). Context-dependent (CD) model is required for the improvement in performance of the acoustic model, and decision tree-based state tying technology is used to solve the problem which is the huge number of the modelpsilas parameters. Chinese phonetics knowledge plays an important...
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