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 :
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