Environmental sound classification using hybrid SVM/KNN classifier and MPEG-7 audio low-level descriptor

Jia Ching Wang, Jhing Fa Wang, Kuok Wai He, Cheng Shu Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

103 引文 斯高帕斯(Scopus)

摘要

In this paper, we present a new environmental sound classification architecture. The proposed sound classifier is performed in frame level and fuses the support vector machine (SVM) and the k nearest neighbor rule (KNN). In feature selection, three MPEG-7 audio low-level descriptors, spectrum centroid, spectrum spread, and spectrum flatness are used as the sound features to exploit their ability in sound classification. Experiments carried out on a 12-class sound database can achieve an 85.1% accuracy rate. The performance comparison between the HMM sound classifier using audio spectrum projection features demonstrates the superiority of the proposed scheme.

原文???core.languages.en_GB???
主出版物標題International Joint Conference on Neural Networks 2006, IJCNN '06
頁面1731-1735
頁數5
出版狀態已出版 - 2006
事件International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
持續時間: 16 7月 200621 7月 2006

出版系列

名字IEEE International Conference on Neural Networks - Conference Proceedings
ISSN(列印)1098-7576

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???event.eventtypes.event.conference???International Joint Conference on Neural Networks 2006, IJCNN '06
國家/地區Canada
城市Vancouver, BC
期間16/07/0621/07/06

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