@article {Swiston2009Comparison,
	title = {Comparison of manual and automated methods for identifying target sounds in audio recordings of Pileated, Pale-billed, and putative Ivory-billed woodpeckers},
	journal = {Journal of Field Ornithology},
	volume = {80},
	number = {1},
	year = {2009},
	month = {March},
	pages = {42{\textendash}50},
	publisher = {Blackwell Publishing},
	keywords = {asr, bioacoustics, biodiversity, birds, monitoring},
	issn = {02738570},
	doi = {10.1111/j.1557-9263.2009.00204.x},
	url = {http://dx.doi.org/10.1111/j.1557-9263.2009.00204.x},
	author = {Swiston, Kyle A. and Mennill, Daniel J.}
}
@article {Bardeli2009Detecting,
	title = {Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring},
	journal = {Pattern Recognition Letters},
	year = {2009},
	month = {September},
	abstract = {Trends in bird population sizes are an important indicator in nature conservation but measuring such sizes is a very difficult, labour intensive process. Enormous progress in audio signal processing and pattern recognition in recent years makes it possible to incorporate automated methods into the detection of bird vocalisations. These methods can be employed to support the census of population sizes. We report about a study testing the feasibility of bird monitoring supported by automatic bird song detection. In particular, we describe novel algorithms for the detection of the vocalisations of two endangered bird species and show how these can be used in automatic habitat mapping. These methods are based on detecting temporal patterns in a given frequency band typical for the species. Special effort is put into the suppression of the noise present in real-world audio scenes. Our results show that even in real-world recording conditions high recognition rates with a tolerable rate of false positive detections are possible.},
	keywords = {asr, bioacoustics, birds, monitoring, neuroinofrmatics},
	issn = {01678655},
	doi = {10.1016/j.patrec.2009.09.014},
	url = {http://dx.doi.org/10.1016/j.patrec.2009.09.014},
	author = {Bardeli, R. and Wolff, D. and Kurth, F. and Koch, M. and Tauchert, K. H. and Frommolt, K. H.}
}
@article {Adi2010Acoustic,
	title = {Acoustic censusing using automatic vocalization classification and identity recognition},
	journal = {The Journal of the Acoustical Society of America},
	volume = {127},
	number = {2},
	year = {2010},
	pages = {874+},
	keywords = {asr, bioacoustics, birds, monitoring},
	issn = {00014966},
	doi = {10.1121/1.3273887},
	url = {http://dx.doi.org/10.1121/1.3273887},
	author = {Adi, Kuntoro and Johnson, Michael T. and Osiejuk, Tomasz S.}
}
@article {Haselmayer2000COMPARISON,
	title = {A COMPARISON OF POINT COUNTS AND SOUND RECORDING AS BIRD SURVEY METHODS IN AMAZONIAN SOUTHEAST PERU},
	journal = {The Condor},
	volume = {102},
	number = {4},
	year = {2000},
	pages = {887+},
	keywords = {america, bioacoustics, birds, monitoring, ornithology, south},
	issn = {0010-5422},
	doi = {10.1650/0010-5422(2000)102\%5B0887:ACOPCA\%5D2.0.CO;2},
	url = {http://dx.doi.org/10.1650/0010-5422(2000)102\%5B0887:ACOPCA\%5D2.0.CO;2},
	author = {Haselmayer, John and Quinn, James S.}
}
@article {Hutto2009Humans,
	title = {Humans versus autonomous recording units: a comparison of point-count results},
	journal = {Journal of Field Ornithology},
	volume = {80},
	number = {4},
	year = {2009},
	month = {December},
	pages = {387{\textendash}398},
	publisher = {Blackwell Publishing},
	keywords = {amibio, arus, birds, censussing, monitoring},
	issn = {02738570},
	doi = {10.1111/j.1557-9263.2009.00245.x},
	url = {http://dx.doi.org/10.1111/j.1557-9263.2009.00245.x},
	author = {Hutto, Richard L. and Stutzman, Ryan J.}
}
