DocumentCode
595336
Title
Timed and probabilistic automata for automatic animal Call Recognition
Author
Shufei Duan ; Jinglan Zhang ; Roe, Paul ; Towsey, Michael ; Buckingham, L.
Author_Institution
Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
2910
Lastpage
2913
Abstract
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.
Keywords
acoustic signal detection; biocommunications; environmental science computing; finite automata; probabilistic automata; Australia; Eastern Yellow Robin; acoustic components; automatic animal call recognition; automatic species recognition; birds; environmental monitoring; formal syntactic methods; patten recognition; probabilistic automata; species call structure analysis; timed automata; Acoustics; Automata; Birds; Detectors; Probabilistic logic; Spectrogram; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460774
Link To Document