Environmental sound classification based on feature collaboration

Byeong J. Han, Een Jun Hwang

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

22 Citations (Scopus)

Abstract

To date, common acoustic features such as MPEG-7 and Fourier/wavelet transform-based features have been frequently used for environmental sound classification. However, these transforms have difficulty dealing with specific properties of environmental sounds, due to their limited scopes. In this paper, we investigate three types of transforms as yet untried for this purpose, and show that they are more effective than traditional features. This result is mainly due to the fact that they have functionalities that were not easily treatable with traditional transforms. Experimental results show that the combination of these features with traditional features can achieve 86.09% of the maximum accuracy in environmental sound classification, compared to 74.35% of the maximum accuracy when confined to traditional features.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages542-545
Number of pages4
DOIs
Publication statusPublished - 2009 Nov 20
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: 2009 Jun 282009 Jul 3

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
CountryUnited States
CityNew York, NY
Period09/6/2809/7/3

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Keywords

  • Discrete chirplet transform
  • Discrete curvelet transform
  • Discrete Hilbert transform
  • Environmental sound recognition
  • Feature extraction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Han, B. J., & Hwang, E. J. (2009). Environmental sound classification based on feature collaboration. In Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 (pp. 542-545). [5202553] https://doi.org/10.1109/ICME.2009.5202553