Automatic Recognition of Animal Vocalizations Using Averaged MFCC and Linear Discriminant Analysis

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31409

Title:	Automatic Recognition of Animal Vocalizations Using Averaged MFCC and Linear Discriminant Analysis
Authors:	李建興 Lee, Chang-Hsing
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	linear discriminant analysis;Mel-frequency cesptral coefficients
Date:	2006
Issue Date:	2014-06-27 01:27:27 (UTC+8)
Abstract:	In this paper we propose a method that uses the averaged Mel-frequency cepstral coefficients (MFCCs) and linear discriminant analysis (LDA) to automatically identify animals from their sounds. First, each syllable corresponding to a piece of vocalization
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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