Timed Probabilistic Automaton : a bridge between Raven and Song Scope for automatic species recognition
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.
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.
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|Item Type:||Conference Paper|
|Keywords:||Timed Probabilistic Automaton, Automatic Species Recognition, Audio processing, pattern recognition|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 Association for the Advancement of Artificial Intelligence (www.aaai.org)|
|Deposited On:||03 Nov 2013 23:29|
|Last Modified:||05 Nov 2013 14:10|
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