Automatic Birdsong Recognition with MFCC Based Syllable Feature Extraction

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31397

Title:	Automatic Birdsong Recognition with MFCC Based Syllable Feature Extraction
Authors:	周智勳 Chou, Chih-Hsun
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	MFCC;syllable;linear discriminant analysis;transition matrix
Date:	2011
Issue Date:	2014-06-27 01:27:04 (UTC+8)
Abstract:	In this study, an automatic birdsong recognition system based on syllable features was developed. In this system, after syllable segmentation, three syllable features, namely mean, QI and QE, were computed from the MFCCs of each syllable aims at capturing
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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