Timed Probabilistic Automaton : a bridge between Raven and Song Scope for automatic species recognition
Contribuinte(s) |
Muñoz-Avila, Hector Stracuzzi, David J. |
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Data(s) |
01/12/2013
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Resumo |
Raven and Song Scope are two automated sound anal-ysis tools based on machine learning technique for en-vironmental monitoring. Many research works have been conducted upon them, however, no or rare explo-ration mentions about the performance and comparison between them. This paper investigates the comparisons from six aspects: theory, software interface, ease of use, detection targets, detection accuracy, and potential application. Through deep exploration one critical gap is identified that there is a lack of approach to detect both syllables and call structures, since Raven only aims to detect syllables while Song Scope targets call structures. Therefore, a Timed Probabilistic Automata (TPA) system is proposed which separates syllables first and clusters them into complex structures after. |
Formato |
application/pdf |
Identificador | |
Publicador |
AAAI |
Relação |
http://eprints.qut.edu.au/63912/2/63912.pdf http://www.aaai.org/ocs/index.php/IAAI/IAAI13/paper/view/6092 Duan, Shufei, Zhang, Jinglan, Roe, Paul, Wimmer, Jason, Dong, Xueyan, Truskinger, Anthony, & Towsey, Michael (2013) Timed Probabilistic Automaton : a bridge between Raven and Song Scope for automatic species recognition. In Muñoz-Avila, Hector & Stracuzzi, David J. (Eds.) Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, AAAI, Bellevue, Washington, USA, pp. 1519-1524. |
Direitos |
Copyright 2013 Association for the Advancement of Artificial Intelligence (www.aaai.org) |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Timed Probabilistic Automaton #Automatic Species Recognition #Audio processing #pattern recognition |
Tipo |
Conference Paper |