@inproceedings{71d1bd86d5c842f5ba4122ec9b67a1da,
title = "SVM-based sound classification based on MPEG-7 audio LLDs and related enhanced features",
abstract = "In this paper, we present a support vector machine (SVM) based sound classifier using MPEG-7 audio low-level descriptors and related enhanced features. The SVM is used to construct an environmental sound classifier. As for the audio features, a feature set which includes MPEG-7 audio low-level descriptors, spectrum centroid, spectrum spread, and spectrum flatness, and two enhanced features, RSS and Legendre-based trend coefficients (LBTCs) of the spectrum power is adopted for sound classification. Experiments demonstrate the proposed system can achieve an 81.25\% classification rate.",
author = "Lin, \{Chang Hong\} and Tu, \{Meng Chi\} and Chin, \{Yu Hau\} and Liao, \{Wei Jun\} and Hsu, \{Cheng Shu\} and Lin, \{Szu Hsien\} and Wang, \{Jia Ching\} and Wang, \{Jhing Fa\}",
year = "2012",
doi = "10.1007/978-3-642-32692-9\_67",
language = "???core.languages.en\_GB???",
isbn = "9783642326912",
series = "Communications in Computer and Information Science",
pages = "536--543",
booktitle = "Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Proceedings",
note = "6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012 ; Conference date: 23-08-2012 Through 25-08-2012",
}