====== Bioacoustics ======

I like bird songs, sonograms, pattern recognition and machine learning for signal processing and want to learn it.

This is my scratchpad to note ideas and links in the hope that I will find some time to follow this path.

===== Data, Experimental Sites =====

=== Oregon State Experimental Forest ===

  * [[http://andrewsforest.oregonstate.edu/lter/|HJ Andrews Experimental Forest (Oregon) - Long Term Ecological Research]]
  * [[http://www.lternet.edu/sites/and|The Long Term Ecological Research Network]]

=== Xeno-Canto Worldwide Bird Song Acoustic Archive ===

  * http://www.xeno-canto.org/ 
  * e.g. "Wiesenpieper", [[http://www.xeno-canto.org/explore?query=Anthus+pratensis|anthus pratensis]]
===== Research Groups =====

===== Projects =====

  * http://www.amibio-project.eu/en 
===== Pattern Recognition Approaches =====

==== Machine Learning for Signal Processing (MLSP) ====

  * MLSP 2013 Bird Classification Challenge: https://www.kaggle.com/c/mlsp-2013-birds 
  * MLSP 2013, Challenge Overview: http://mlsp2013.conwiz.dk/files/mlsp13birdchallenge.pdf 
  * MLSP 2013, Gabor Fodor, der Gewinner. Daten und Software: https://github.com/gaborfodor/MLSP_2013 
  * MLSP 2013, Gabor Fodor Paper: http://kaggle.a.ssl.fastly.net/blobs/download/forum-message-attachment-files/903/mlsp_2013_beluga.pdf 
  * Machine Learning in Python: http://scikit-learn.org/stable/index.html 


===== Equipment =====
  * Wildlife Acoustics Songmeter: \\ http://www.wildlifeacoustics.com/products/song-meter-sm3

  * Direction Microphone (dish): http://www.telinga.com/

===== Software =====

  * http://openaudio.eu/
  * http://sourceforge.net/projects/soundruler/
  * http://www.birds.cornell.edu/brp/software  
  * http://www.birds.cornell.edu/brp/raven/RavenOverview.html
  * http://sourceforge.net/projects/opensmile/
  * http://www.audeering.com/research/opensmile
  * http://sourceforge.net/directory/science-engineering/ai/machinelearning/os:windows/freshness:recently-updated/
  * http://sourceforge.net/projects/openart/
===== Literature =====

Automatic bird sound detection: Applications and tools \\
Ilyas Potamitis (1), Olaf Jahn (2), Klaus Riede (2) \\
1 Department of Music Technology and Acoustics, Tech. Educ. Institute of Crete, Crete, Greece \\
2 Zoologisches Forschungsmuseum Alexander Koenig, 53113 Bonn, Germany \\
http://www.amibio-project.eu/sites/default/files/documents/pub/amibio_is12_paper_v7.pdf


openSMILE – The Munich Versatile and Fast Open-Source Audio Feature Extractor\\
Florian Eyben (eyben@tum.de), Martin Wöllmer (woellmer@tum.de), 
Björn Schuller (schuller@tum.de) \\
Institute for Human-Machine Communication, Technische Universität München \\
http://mediatum.ub.tum.de/doc/1082431/5473.pdf