SVM-based sound classification based on MPEG-7 audio LLDs and related enhanced features

Chang Hong Lin, Meng Chi Tu, Yu Hau Chin, Wei Jun Liao, Cheng Shu Hsu, Szu Hsien Lin, Jia Ching Wang, Jhing Fa Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

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主出版物標題Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Proceedings
頁面536-543
頁數8
DOIs
出版狀態已出版 - 2012
事件6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012 - Daejeon, Korea, Republic of
持續時間: 23 8月 201225 8月 2012

出版系列

名字Communications in Computer and Information Science
310 CCIS
ISSN(列印)1865-0929

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???event.eventtypes.event.conference???6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012
國家/地區Korea, Republic of
城市Daejeon
期間23/08/1225/08/12

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