TY - GEN
T1 - Environmental sound classification based on feature collaboration
AU - Han, Byeong Jun
AU - Hwang, Eenjun
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Discrete Hilbert transform
KW - Discrete chirplet transform
KW - Discrete curvelet transform
KW - Environmental sound recognition
KW - Feature extraction
UR - http://www.scopus.com/inward/record.url?scp=70449559297&partnerID=8YFLogxK
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U2 - 10.1109/ICME.2009.5202553
DO - 10.1109/ICME.2009.5202553
M3 - Conference contribution
AN - SCOPUS:70449559297
SN - 9781424442911
T3 - Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
SP - 542
EP - 545
BT - Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
T2 - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Y2 - 28 June 2009 through 3 July 2009
ER -