Table of Contents
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
Xeno-Canto Worldwide Bird Song Acoustic Archive
- e.g. “Wiesenpieper”, anthus pratensis
Research Groups
Projects
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
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