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Communication Dans Un Congrès Année : 2008

The use of kernel methods for audio events detection

Résumé

This paper presents an approach for an automatic surveillance system in public transport by analyzing audio signals recorded in the vehicle in order to detect several abnormal behaviors. We try to visualize audio signals by projection methods like PCA and kernel PCA. We use also unsupervised classification (clustering) methods to separate the audio signals into their components precisely we are using K- means and kernel K-means.
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Dates et versions

hal-01695721 , version 1 (29-01-2018)

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  • HAL Id : hal-01695721 , version 1

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Alissar Nasser, Denis Hamad, Jean-Luc Rouas, S Ambellouis. The use of kernel methods for audio events detection. ICTTA'08, 3rd International Conference on Information and Communication Technologies: From Theory to Applications, Apr 2008, Damascus, Syria. ⟨hal-01695721⟩
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