Continuous observation and archival of acoustic scenes usingwireless sensor networks

Gordon Wichern, Homin Kwon, Andreas Spanias, Alex Fink, Harvey Thornburg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Acoustic scene analysis has proven an invaluable tool in diverse fields ranging from biology to defense and security. Wireless sensor networks present an attractive means of implementing an acoustic monitoring system due to their low cost and ability to be easily deployed in a wide range of areas. In this paper acoustic features are extracted at the sensor level, and then transmitted to the base station where acoustic events are segmented using a dynamic Bayseian network. Segmented events are then indexed with the time and location where they occurred, allowing users to link events in terms of time, place, and acoustic characteristics. Our experiments show that a feature set that allows for general characterization of diverse sound environments can be extracted at the sensor level, while an illustrative example shows the segmentation algorithm detecting footsteps in low SNR conditions.

Original languageEnglish (US)
Title of host publicationDSP 2009:16th International Conference on Digital Signal Processing, Proceedings
DOIs
StatePublished - Nov 20 2009
EventDSP 2009:16th International Conference on Digital Signal Processing - Santorini, Greece
Duration: Jul 5 2009Jul 7 2009

Publication series

NameDSP 2009: 16th International Conference on Digital Signal Processing, Proceedings

Other

OtherDSP 2009:16th International Conference on Digital Signal Processing
CountryGreece
CitySantorini
Period7/5/097/7/09

Keywords

  • Acoustic scene analysis
  • Acoustic signal detection
  • Database query processing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Wichern, G., Kwon, H., Spanias, A., Fink, A., & Thornburg, H. (2009). Continuous observation and archival of acoustic scenes usingwireless sensor networks. In DSP 2009:16th International Conference on Digital Signal Processing, Proceedings [5201082] (DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings). https://doi.org/10.1109/ICDSP.2009.5201082