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Automatic Recognition of Events in Audio Data Using Supercomputer Cluster

Dangerous events automatic recognition by audio analysis employing parallel processing on a supercomputer cluster is described in the paper. Sound files recorded by microphones operating in a security surveillance system are processed by a sound event detection and classification algorithm. Because of the large amount of data, parallel computation is employed to speed up the analysis. The sound file recorded by the surveillance system is divided into chunks and processed by separate threads or processes. Several strategies for such parallel computation are introduced and discussed. Results obtained in tests using a supercomputer cluster are presented.

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