Acoustic feature extraction for robust event recognition on cleaning robot platform

Sang Wook Park, Jin Sang Rho, Min Kyu Shin, David K. Han, Hanseok Ko

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

6 Citations (Scopus)

Abstract

If a cleaning robot can understand auditory scene, it can do a variety of roles including that of surveillance for home/office security. However, ego noise generated by the embedded motors can pose a serious problem against accurately performing auditory scene analysis. We propose an appropriate feature set using log-scale filter bank that effectively performs acoustic event recognition robust against ego noise and in home environment. Its effectiveness is demonstrated against the most prominent conventional feature set.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-146
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Park, S. W., Rho, J. S., Shin, M. K., Han, D. K., & Ko, H. (2014). Acoustic feature extraction for robust event recognition on cleaning robot platform. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 145-146). [6775946] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6775946