A sensor network for real-time acoustic scene analysis

Homin Kwon, Harish Krishnamoorthi, Visar Berisha, Andreas Spanias

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

10 Scopus citations

Abstract

Acoustic scene analysis can be used to extract relevant information in applications such as homeland security, surveillance and environmental monitoring. Wireless sensor networks have been of particular interest in monitoring acoustic scenes. Sensors embedded in such a network typically operate under several constraints such as low power and limited bandwidth. In this paper, we consider resource-efficient acoustic sensing tasks that extract and transmit relevant information to a central station where information assessment can be conducted. We propose a series of acoustic scene analysis tasks that are performed in a hierarchical manner. Hierarchical tasks include sound and speech discrimination, estimation of the number of speakers from the acquired sound, gender and emotional state, and ultimately voice monitoring and key word spotting. We apply support vector machine and Gaussian mixture model algorithms on sound features. A real-time implementation is accomplished using Crossbow motes interfaced with a TI DSP board. A series of experiments are presented to characterize the performance of the algorithms under different conditions.

Original languageEnglish (US)
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages169-172
Number of pages4
DOIs
StatePublished - Oct 26 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: May 24 2009May 27 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
CountryTaiwan, Province of China
CityTaipei
Period5/24/095/27/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A sensor network for real-time acoustic scene analysis'. Together they form a unique fingerprint.

  • Cite this

    Kwon, H., Krishnamoorthi, H., Berisha, V., & Spanias, A. (2009). A sensor network for real-time acoustic scene analysis. In 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 (pp. 169-172). [5117712] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2009.5117712