Automated species recognition in environmental recordings


Autoria(s): Duan, Shufei
Data(s)

2014

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

http://eprints.qut.edu.au/71390/

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