Acceleration of decision making in sound event recognition employing supercomputing cluster

作者：Lopatka Kuba^*; Czyzewski Andrzej

来源：Information Sciences, 2014, 285: 223-236.

DOI：10.1016/j.ins.2013.11.030

• Sound event recognition
• Audio supercomputing
• Audio surveillance

Parallel processing of audio data streams is introduced to shorten the decision making time in hazardous sound event recognition. A supercornputing cluster environment with a framework dedicated to processing multimedia data streams in real time is used. The sound event recognition algorithms employed are based on detecting foreground events, calculating their features in short time frames, and classifying the events with Support Vector Machine. Different strategies for improving the decision time are introduced. The experiments with the presented strategies are conducted and the results are presented.

• 出版日期2014-11-20