Dear colleagues, 

We are pleased to announce a session entitled "Analysis of ecoacoustic 
recordings: detection, segmentation and classification" at the next 
International Conference on Ecological Informatics to be held in Jena, 
Germany, September 24-28. All information about conference organisation is 
available at 

This session mainly aims at sharing technical developments in sound analysis 
for ecoacoustic research (see abstract below). 

We are very keen on reading your abstracts that should be submitted before 
March, 18 at 

Do no hesitate to contact us if you have any query. 

We look forward to meeting you in Jena, 

Best regards, 

Jérôme Sueur(1) and Dan Stowell(2) 

1 - Muséum national d'Histoire naturelle, France 
2 - Queen Mary University of London, UK 

Abstract - Ecoacoustics is a newly emerged discipline that aims at tackling 
ecological research questions through the lens of sound analysis. Ecoacoustics 
covers several questions in marine, freshwater and terrestrial environments 
dealing with biodiversity monitoring, population ecology, community ecology and 
landscape ecology. One of the key approaches of ecoacoustics consists in 
identifying sounds of ecological importance in environmental recordings that 
were collected in an unattended way by automatic recorders. This search task is 
made difficult by the occurrence of background noise due to human activities, 
the co-occurrence of several sounds of interest, the degradation of the sounds 
of interest related to their propagation in the environment, a high-degree of 
variability of the sounds of interest, a large amount of data, and a lack of 
reference archives. Solutions including computer processes are currently in 
development to try to get around these difficulties. This session will be the 
occasion to report and share new techniques involving signal analysis, machine 
learning, deep learning and high dimension statistics for advances in 
detection, segmentation, supervised and unsupervised classification of sound 

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