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.

View at publisher (open access)


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.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

215 since deposited on 03 Nov 2013
40 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 63912
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Timed Probabilistic Automaton, Automatic Species Recognition, Audio processing, pattern recognition
ISBN: 9781577356158
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page