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- W2360532037 abstract "As a significant clue for video indexing and retrieval,audio detection and classification has attracted much attention and become a hot topic.On the basis of the prior model of news video structure,a selective ensemble support vector machines (SEN-SVM) is proposed to detect and classify the news audio into 4 types:silence,music,speech,and speech with music background. Experiments on real news audio clips of 8514s in total length illustrate that theaverage accuracy rate of the proposed audio classification method reaches 98.2 %,which is much better than that of the available SVM-based method or the traditional threshold-based method." @default.
- W2360532037 created "2016-06-24" @default.
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- W2360532037 date "2006-01-01" @default.
- W2360532037 modified "2023-09-23" @default.
- W2360532037 title "Automatic News Audio Classification Method Based on Selective Ensemble SVMs" @default.
- W2360532037 hasPublicationYear "2006" @default.
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