Automatic Classification of Bird Species From Their Sounds Using Two-Dimensional Cepstral Coefficients

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题名:	Automatic Classification of Bird Species From Their Sounds Using Two-Dimensional Cepstral Coefficients
作者:	李建興 Lee, Chang-Hsing
贡献者:	資訊工程學系 Computer Science & Information Engineering
关键词:	Birdsong classification;Gaussian mixture models;two-dimensional Mel-frequency cepstral coefficients
日期:	2008
上传时间:	2014-06-27 01:24:56 (UTC+8)
摘要:	This paper presents a method for automatic classification of birds into different species based on the audio recordings of their sounds. Each individual syllable segmented from continuous recordings is regarded as the basic recognition unit. To represent
显示于类别:	[資訊工程學系] 期刊論文

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