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A hierarchical method for scene analysis in audio sensor networks is proposed.This method consists of two stages:element detection stage and audio scene analysis stage.In the former stage,the basic audio elements are modeled by the HMM models and trained by enough samples off-line,and we adaptively add or remove basic element from the targeted element pool according to the time,place and other environment parameters.In the latter stage,a data fusion algorithm is used to combine the sensory information of the same area,and then,a rule-based method is employed to analyze the audio scene based on the fused data.We conduct some experiments to evaluate the performance of the proposed method that about 70% audio scenes can be detected correctly by this method.The experiment evaluations demonstrate that our method can achieve satisfactory results.
A hierarchical method for scene analysis in audio sensor networks is proposed. This method consists of two stages: element detection stage and audio scene analysis stage. The former stage, the basic audio elements are modeled by the HMM models and trained by enough samples off -line, and we adaptively add or remove basic element from the targeted element pool according to the time, place and other environment parameters. In the latter stage, a data fusion algorithm is used to combine the sensory information of the same area, and then , a rule-based method is employed to analyze the audio scene based on the fused data. We conduct some experiments to evaluate the performance of the proposed method that about 70% audio scenes can be detected correctly by this method. our method can achieve satisfactory results