Bird Audio Signal Processing
Special Session at
25 th EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) 2017
28 August – 2 September, 2017 – Kos Island, Greece
Theme and scope
This session will bring together research on an application domain of growing recent interest, and of high practical importance: signal processing and machine learning applied to the sounds of birds. Acoustic monitoring of species is an increasingly crucial tool in tracking population declines and migration movements affected by climate change. Detailed signal processing can also reveal scientific understanding of the evolutionary mechanisms operating on bird acoustic communication. What is needed is a set of tools for scalable and fully-automatic detection and analysis across a wide variety of bird sounds.
Workshops such as Listening in the Wild 2013/2015, the BirdClef Challenge 2014/2015/2016 and a special session at InterSpeech 2016 demonstrate the growing and active community in the area. Our session builds on this momentum, providing a focused European session. One component of this special session will be the outcomes of the Bird Audio Detection Challenge <http://tinyurl.com/badchallenge>, which provided new datasets and saw bird detection algorithms developed by more than 20 teams from around the world. The session will also invite new research contributions in the broader emerging topic of bird audio signal processing.
For information about how to submit your paper please see the EUSIPCO website.
- Paper submission: February 17, 2017
- Decision notifications: May 25, 2017
- Camera-ready papers: June 17, 2017
- Dr Dan Stowell, Queen Mary University of London, London, UK.
- Pr. Hervé Glotin, Scaled Acoustic BioDiversity Dept, Univ. of Toulon & Inst. Univ. de France.
- Pr. Yannis Stylianou, Computer Science Dept, University of Crete.
- Dr Mike Wood, University of Salford, Greater Manchester, UK.