期刊
PATTERN RECOGNITION
卷 43, 期 11, 页码 3846-3852出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2010.04.026
关键词
Call-independent identification; Gaussian mixture models; Individual recognition; Mel-frequency cepstral coefficients; Passerine
资金
- Biodiversity Informatics Group
Research into acoustic recognition systems for animals has focused on call-dependent and species identification rather than call-independent and individual identification. Here we present a system for automatic call-independent individual recognition using mel-frequency cepstral coefficients and Gaussian mixture models across four passerine species. To our knowledge this is the first application of these techniques to the individual recognition of birds, and the results are promising. Accuracies of 89.1-92.5% were achieved and the acoustic feature and classifier method developed here have excellent potential for individual animal recognition and can be easily applied to other species. (C) 2010 Elsevier Ltd. All rights reserved.
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