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

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Title:	Automatic Classification of Bird Species From Their Sounds Using Two-Dimensional Cepstral Coefficients
Authors:	李建興 Lee, Chang-Hsing
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	Birdsong classification;Gaussian mixture models;two-dimensional Mel-frequency cepstral coefficients
Date:	2008
Issue Date:	2014-06-27 01:24:56 (UTC+8)
Abstract:	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
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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