Timed and Probabilistic Automata for Automatic Animal Call Recognition


Autoria(s): Duan, Shufei; Zhang, Jinglan; Roe, Paul; Towsey, Michael W.; Buckingham, Lawrence
Data(s)

2012

Resumo

Automatic Call Recognition is vital for environmental monitoring. Patten recognition has been applied in automatic species recognition for years. However, few studies have applied formal syntactic methods to species call structure analysis. This paper introduces a novel method to adopt timed and probabilistic automata in automatic species recognition based upon acoustic components as the primitives. We demonstrate this through one kind of birds in Australia: Eastern Yellow Robin.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/56098/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/56098/1/_1813_Timed_and_Probabilistic_Automata_for_Automatic_Animal_Call_Recognition.pdf

https://iapr.papercept.net/conferences/scripts/abstract.pl?ConfID=7&Number=1813

Duan, Shufei, Zhang, Jinglan, Roe, Paul, Towsey, Michael W., & Buckingham, Lawrence (2012) Timed and Probabilistic Automata for Automatic Animal Call Recognition. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), IEEE, the Tsukuba International Congress Center, Tsukuba, Japan, pp. 2910-2913.

Direitos

Copyright 2012 Please consult the authors

Fonte

School of Electrical Engineering & Computer Science; Faculty of Science and Technology; Science & Engineering Faculty

Palavras-Chave #080109 Pattern Recognition and Data Mining #080199 Artificial Intelligence and Image Processing not elsewhere classified #Timed and Probabilistic Automata #Automatic Animal Call Recognition
Tipo

Conference Paper