Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features

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题名:	Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features
作者:	石昭玲 Shih, Jau-Ling
贡献者:	資訊工程學系 Computer Science & Information Engineering
关键词:	Angular radial transform (ART);Birdsong recognition;Gaussian mixture models (GMM)
日期:	2013
上传时间:	2014-06-27 01:41:44 (UTC+8)
摘要:	Traditional birdsong recognition approaches used acoustic features based on the acoustic model of speech production or the perceptual model of the human auditory system to identify the associated bird species. In this paper, a new feature descriptor that
显示于类别:	[資訊工程學系] 期刊論文

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