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The performance of speech emotion classifiers greatly degrade when the training conditions do not match the testing conditions. This problem is observed in cross-corpora evaluations, even when the corpora are similar. The lack of generalization is particularly problematic when the emotion classifiers are used in real applications. This study addresses this problem by combining active learning (AL)...
Social media has become an important source of near-instantaneous information about events and is increasingly also being analysed to provide predictive models, sentiment analysis and so on. One domain where social media data has value is transport and this paper looks at the exploitation of Twitter data in traffic management. A key issue is the identification and analysis of traffic-relevant content...
This paper deals with the system-level fault diagnosis problem which main objective is to identify faults, in particular permanent ones, in diagnosable systems under the PMC model. The PMC model assumes that each system's node is tested by a subset of the other nodes, and that at most t of these nodes are permanently faulty. Tests performed by faulty nodes are unreliable, and hence, they can incorrectly...
Maximum a posteriori vector quantization (VQ-MAP) procedure adapts the mean vectors only and weights were not considered. To solve this problem,this paper proposes the improved VQ-MAP procedure which uses weighted mean vector to replace mean vector. Adaptive parameter sets in the improved VQ-MAP procedure are used as the training samples of least square support vector machines(LS-SVM) in speaker recognition...
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