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《Computer Engineering and Design》 2014-05
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Bird recognition based on MFCC and dual-GMM

WANG En-ze;HE Dong-jian;College of Mechanical and Electronic Engineering,Northwest A&F University;  
In accordance with the flexibility and the complexity of bird chirps,a bird recognition method is raised on the basis of MFCC and GMM model.By classifying bird chirps into call and sing,and extracting their feature parameter MFCC respectively,a dual-GMM model is put forward for training and recognizing.Experiments are carried out with 1077bird chirp samples of 8kinds of birds.Results show that the recognition rate of dual-GMM model is over 90%,much higher than that of the single vocal model.
【Fund】: 西北农林科技大学校长基金项目(A213020901)
【CateGory Index】: TN912.34
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