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Spécial « Congrès Acoustics 2012 »
Un nouveau procédé d’optimisation de la distance géométrique dans un système de reconnaissance automatique de chants d’oiseaux
Thus there is a reduction in the possibility that an impor-
tant species or aspect of the faunal community has been
overlooked.
The system also has clear application in biological and
ecological sciences. To illustrate, the system is currently
being used to measure changes in amphibian communi-
ties at different points within a catchment and between
catchments in order to establish clear links between frog
species diversity and catchment health. Similarly, collea-
gues have been working on applying the recorders and
automated sound recognition system to biological studies
in Borneo, and others targeting a better understanding of
Dolphin vocalisations. More recently the developers of the
software have been approached by University researchers
wanting to apply the method to studying mosquitoes.
Conclusion
A valuable new tool for bioacoustics has been described,
and it is currently in use for wide-area acoustics surveys,
rare parrot studies, bat and frog surveys and it has found
uses in industrial and medical environments. The system
as described is based on 32 bit code and for many appli-
cations will require some trade-off between accuracy and
processing time. The 64 bit code under development (also
the subject of a paper at this conference) will address this
shortcoming and will also add many more features.
Références bibliographiques
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J.J., Mann, D.A. Listening to Fish: Applications of Passive Acoustics to Fisheries
Science. Fisheries. 31: 433-446. (2006)
[2] Payne, K.B., Thompson, M., Kramer, L. Elephant calling patterns as indicators
of group size and composition: the basis for an acoustic monitoring system.
African Journal of Ecology. 41: 99-107 (2003)
[3] Riede, K. Acoustic monitoring of Orthoptera and its potential for
conservation. Journal of Insect Conservation. 2: 217-223.( 1998)
[4] Brandes, T.S. Automated sound recordings and analysis techniques for bird
surveys and conservation. Bird Conservation International. 18: 163-173. (2008)
[5] Chesmore, D. Automated bioacoustic identification of species. Annals of the
Brazilian Academy of the Sciences. 76: 435-440. (2004)
[6] Boucher, N J. Jinnai, M. Gynther I. Design Considerations in a Sound
Recognition System for Wildlife Indentification. Australian Institute of Physics
Brisbane (2006)
[7] Jinnai, M., Boucher N J., Robertson J., Kleindorfer S., Design Considerations
in an Automatic Classification System for Bird Vocalisations using the two
dimensional Geometric Distance and Cluster Analysis, International Congress of
Acoustics, Sydney. (2010)
