Automated Ensemble Extraction and Analysis of Acoustic Data Streams

This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meaningful sequences, called ensembles, from acoustic data streamed from natural areas. Our goal is automated detection and identification of various species of birds. Although this target application is relatively specific, the process employed is general and can be extended to other problem domains such as security systems and military reconnaissance.

• Type: Conference
• Year: 2007
• Where: ICDCSW
• Authors: Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
• Keywords: Acoustic Data, Distributed And Parallel Computing, ICDCSW 2007, Meaningful Sequences, Sensor Data Streams