Automated species recognition in environmental recordings
Data(s) |
2014
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Resumo |
Faunal vocalisations are vital indicators for environmental change and faunal vocalisation analysis can provide information for answering ecological questions. Therefore, automated species recognition in environmental recordings has become a critical research area. This thesis presents an automated species recognition approach named Timed and Probabilistic Automata. A small lexicon for describing animal calls is defined, six algorithms for acoustic component detection are developed, and a series of species recognisers are built and evaluated.The presented automated species recognition approach yields significant improvement on the analysis performance over a real world dataset, and may be transferred to commercial software in the future. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/71390/1/Shufei_Duan_Thesis.pdf Duan, Shufei (2014) Automated species recognition in environmental recordings. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Automated Species Recognition #Animal Call Structure #Acoustic Component #Acoustic Component Definition #Acoustic Component Detection #Timed and Probabilistic Automata #Syntactic Pattern Recognition |
Tipo |
Thesis |