How can computers learn to recognize birds from their sounds? As a postdoc within the K. Lisa Yang Center for Conservation Bioacoustics, I am trying to find an answer to this question. My research is mainly focused on the detection and classification of avian sounds using machine learning. Automated observation of avian vocal activity and species diversity can be a transformative tool for ornithologists, conservation biologists, and birdwatchers to assist in long-term monitoring of critical environmental niches.
With a background in computer vision and deep learning, I am mainly focusing on developing new methods to process large data collections of environmental sounds. After completing my master’s degree in Applied Computer Science in 2014, I became a research assistant at the Chemnitz University of Technology, Germany. I was involved in research projects covering human-computer and human-robot interaction, multimodal media retrieval, and mobile application development.
I joined the Yang Center in 2019, continuing my work on a bird sound recognition system I call BirdNET. My goal is to assist experts and citizen scientists in their work of monitoring and protecting our birds by developing a wide range of applications such as smartphone apps, public demonstrators, web interfaces, and robust analysis frameworks.
Education
Ph.D., Chemnitz University of Technology, Germany, 2019
M.Sc., Chemnitz University of Technology, Germany, 2013
B.Sc., Chemnitz University of Technology, Germany, 2011
Recent Publications
2804417
Kahl
items
1
0
date
desc
title
8964
https://www.birds.cornell.edu/home/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3A%22zotpress-84f9efba54e6080a30b0f687911f521f%22%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22N54GPV9A%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22McGinn%20et%20al.%22%2C%22parsedDate%22%3A%222023-05-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMcGinn%2C%20K.%2C%20S.%20Kahl%2C%20M.%20Z.%20Peery%2C%20H.%20Klinck%2C%20and%20C.%20M.%20Wood%20%282023%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS1574954123000249%27%3EFeature%20embeddings%20from%20the%20BirdNET%20algorithm%20provide%20insights%20into%20avian%20ecology%3C%5C%2Fa%3E.%20Ecological%20Informatics%2074%3A101995.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Feature%20embeddings%20from%20the%20BirdNET%20algorithm%20provide%20insights%20into%20avian%20ecology%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kate%22%2C%22lastName%22%3A%22McGinn%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%20Zachariah%22%2C%22lastName%22%3A%22Peery%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Holger%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Connor%20M.%22%2C%22lastName%22%3A%22Wood%22%7D%5D%2C%22abstractNote%22%3A%22Bioacoustics%20has%20become%20widely%20used%20in%20the%20study%20of%20acoustically%20active%20animals%2C%20and%20machine%20learning%20algorithms%20have%20emerged%20as%20efficient%20and%20effective%20strategies%20to%20identify%20species%20vocalizations.%20Current%20applications%20of%20machine%20learning%20in%20bioacoustics%20often%20identify%20acoustic%20events%20to%20the%20species-level%20but%20fail%20to%20capture%20the%20complex%20acoustic%20repertoires%20animals%20use%20to%20communicate%2C%20which%20can%20inform%20habitat%20associations%2C%20demography%2C%20behavior%2C%20and%20the%20life%20history%20of%20cryptic%20species.%20The%20penultimate%20layer%20of%20most%20machine%20learning%20algorithms%20results%20in%20a%20vector%20of%20numbers%20describing%20the%20input%2C%20called%20feature%20embeddings.%20Here%2C%20we%20demonstrate%20that%20the%20feature%20embeddings%20generated%20by%20the%20BirdNET%20algorithm%20can%20enable%20within-species%20classifications%20of%20acoustic%20events.%20First%2C%20we%20successfully%20differentiated%20adult%20and%20juvenile%20Great%20Gray%20Owls%3B%20second%2C%20we%20identified%20three%20unique%20sounds%20associated%20with%20Great%20Spotted%20Woodpeckers%20%28series%20call%2C%20alarm%20call%2C%20and%20drumming%29.%20These%20applications%20of%20BirdNET%20feature%20embeddings%20suggest%20that%20researchers%20can%20classify%20vocalizations%20into%20groups%20when%20group%20membership%20is%20unknown%2C%20and%20that%20within-species%20grouping%20is%20possible%20even%20when%20target%20signals%20are%20extremely%20rare.%20These%20applications%20of%20a%20relatively%20%5Cu201cblack-box%5Cu201d%20aspect%20of%20machine%20learning%20algorithms%20can%20be%20used%20to%20derive%20ecologically%20informative%20acoustic%20classifications%2C%20which%20can%20inform%20the%20conservation%20of%20cryptic%20and%20otherwise%20difficult%20to%20study%20species.%22%2C%22date%22%3A%222023-05-01%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.ecoinf.2023.101995%22%2C%22ISSN%22%3A%221574-9541%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS1574954123000249%22%2C%22collections%22%3A%5B%229BUGNQUJ%22%5D%2C%22dateModified%22%3A%222023-05-18T14%3A49%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22GC54JIIP%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Brunk%20et%20al.%22%2C%22parsedDate%22%3A%222023-04-03%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBrunk%2C%20K.%20M.%2C%20R.%20J.%20Guti%5Cu00e9rrez%2C%20M.%20Z.%20Peery%2C%20C.%20A.%20Cansler%2C%20S.%20Kahl%2C%20and%20C.%20M.%20Wood%20%282023%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs42408-023-00180-9%27%3EQuail%20on%20fire%3A%20changing%20fire%20regimes%20may%20benefit%20mountain%20quail%20in%20fire-adapted%20forests%3C%5C%2Fa%3E.%20Fire%20Ecology%2019%3A19.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quail%20on%20fire%3A%20changing%20fire%20regimes%20may%20benefit%20mountain%20quail%20in%20fire-adapted%20forests%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kristin%20M.%22%2C%22lastName%22%3A%22Brunk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%20J.%22%2C%22lastName%22%3A%22Guti%5Cu00e9rrez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%20Zachariah%22%2C%22lastName%22%3A%22Peery%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%20Alina%22%2C%22lastName%22%3A%22Cansler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Connor%20M.%22%2C%22lastName%22%3A%22Wood%22%7D%5D%2C%22abstractNote%22%3A%22Fire-adapted%20forests%20in%20western%20North%20America%20are%20experiencing%20rapid%20changes%20to%20fire%20regimes%20that%20are%20outside%20the%20range%20of%20historic%20norms.%20Some%20habitat-specialist%20species%20have%20been%20negatively%20impacted%20by%20increases%20in%20large%2C%20high-severity%20fire%2C%20yet%2C%20the%20responses%20of%20many%20species%20to%20fire%2C%20especially%20at%20longer%20time%20scales%2C%20remain%20ambiguous.%20We%20studied%20the%20response%20of%20a%20widely%20distributed%20species%2C%20the%20mountain%20quail%20%28Oreortyx%20pictus%29%2C%20to%20wildfire%20across%20the%20Sierra%20Nevada%20of%20California%2C%20because%20its%20habitat%20selection%20patterns%20provided%20an%20opportunity%20to%20evaluate%20potentially%20contrasting%20responses%20among%20habitat%20specialists.%22%2C%22date%22%3A%222023-04-03%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1186%5C%2Fs42408-023-00180-9%22%2C%22ISSN%22%3A%221933-9747%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs42408-023-00180-9%22%2C%22collections%22%3A%5B%229BUGNQUJ%22%5D%2C%22dateModified%22%3A%222023-05-18T14%3A49%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22EMNRPEPE%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kahl%20et%20al.%22%2C%22parsedDate%22%3A%222022-09-05%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKahl%2C%20S.%2C%20A.%20Navine%2C%20T.%20Denton%2C%20H.%20Klinck%2C%20P.%20Hart%2C%20H.%20Glotin%2C%20H.%20Go%5Cu00ebau%2C%20W.-P.%20Vellinga%2C%20R.%20Planqu%5Cu00e9%2C%20and%20A.%20Joly%20%282022%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fhal.inrae.fr%5C%2Fhal-03791428%27%3EOverview%20of%20BirdCLEF%202022%3A%20Endangered%20bird%20species%20recognition%20in%20soundscape%20recordings%3C%5C%2Fa%3E.%20p.%201929.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Overview%20of%20BirdCLEF%202022%3A%20Endangered%20bird%20species%20recognition%20in%20soundscape%20recordings%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amanda%22%2C%22lastName%22%3A%22Navine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tom%22%2C%22lastName%22%3A%22Denton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Holger%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Hart%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Herv%5Cu00e9%22%2C%22lastName%22%3A%22Glotin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Herv%5Cu00e9%22%2C%22lastName%22%3A%22Go%5Cu00ebau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Willem-Pier%22%2C%22lastName%22%3A%22Vellinga%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%22%2C%22lastName%22%3A%22Planqu%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexis%22%2C%22lastName%22%3A%22Joly%22%7D%5D%2C%22abstractNote%22%3A%22As%20the%20%5C%22extinction%20capital%20of%20the%20world%5C%22%2C%20Hawai%27i%20has%20lost%2068%25%20of%20its%20native%20bird%20species%2C%20the%20consequences%20of%20which%20can%20harm%20entire%20ecosystems.%20With%20physical%20monitoring%20difficult%2C%20scientists%20have%20turned%20to%20sound%20recordings%2C%20as%20this%20approach%20could%20provide%20a%20passive%2C%20low%20labor%2C%20and%20cost-effective%20strategy%20for%20monitoring%20endangered%20bird%20populations.%20Current%20methods%20for%20processing%20large%20bioacoustic%20datasets%20involve%20manual%20review%20of%20each%20recording.%20This%20requires%20specialized%20training%20and%20prohibitively%20large%20amounts%20of%20time.%20Recent%20advances%20in%20machine%20learning%20have%20made%20it%20possible%20to%20automatically%20identify%20bird%20songs%20for%20common%20species%20with%20ample%20training%20data.%20However%2C%20it%20remains%20challenging%20to%20develop%20such%20tools%20for%20rare%20and%20endangered%20species.%20The%20main%20goal%20of%20the%202022%20edition%20of%20BirdCLEF%20was%20to%20advance%20automated%20detection%20of%20rare%20and%20endangered%20bird%20species%20that%20lack%20large%20amounts%20of%20training%20data.%20The%20competition%20challenged%20participants%20to%20develop%20reliable%20analysis%20frameworks%20to%20detect%20and%20identify%20the%20vocalizations%20of%20rare%20bird%20species%20in%20continuous%20Hawaiian%20soundscapes%20utilizing%20limited%20training%20data.%22%2C%22date%22%3A%222022%5C%2F09%5C%2F05%22%2C%22proceedingsTitle%22%3A%22%22%2C%22conferenceName%22%3A%22CLEF%202022%20-%20Conference%20and%20Labs%20of%20the%20Evaluation%20Forum%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fhal.inrae.fr%5C%2Fhal-03791428%22%2C%22collections%22%3A%5B%229BUGNQUJ%22%5D%2C%22dateModified%22%3A%222023-05-18T14%3A49%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22GI8GGXHT%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wood%20et%20al.%22%2C%22parsedDate%22%3A%222022-06-28%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EWood%2C%20C.%20M.%2C%20S.%20Kahl%2C%20A.%20Rahaman%2C%20and%20H.%20Klinck%20%282022%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fjournals.plos.org%5C%2Fplosbiology%5C%2Farticle%3Fid%3D10.1371%5C%2Fjournal.pbio.3001670%27%3EThe%20machine%20learning%5Cu2013powered%20BirdNET%20App%20reduces%20barriers%20to%20global%20bird%20research%20by%20enabling%20citizen%20science%20participation%3C%5C%2Fa%3E.%20PLOS%20Biology%2020%3Ae3001670.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20machine%20learning%5Cu2013powered%20BirdNET%20App%20reduces%20barriers%20to%20global%20bird%20research%20by%20enabling%20citizen%20science%20participation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Connor%20M.%22%2C%22lastName%22%3A%22Wood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ashakur%22%2C%22lastName%22%3A%22Rahaman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Holger%22%2C%22lastName%22%3A%22Klinck%22%7D%5D%2C%22abstractNote%22%3A%22The%20BirdNET%20App%2C%20a%20free%20bird%20sound%20identification%20app%20for%20Android%20and%20iOS%20that%20includes%20over%203%2C000%20bird%20species%2C%20reduces%20barriers%20to%20citizen%20science%20while%20generating%20tens%20of%20millions%20of%20bird%20observations%20globally%20that%20can%20be%20used%20to%20replicate%20known%20patterns%20in%20avian%20ecology.%22%2C%22date%22%3A%22Jun%2028%2C%202022%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1371%5C%2Fjournal.pbio.3001670%22%2C%22ISSN%22%3A%221545-7885%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.plos.org%5C%2Fplosbiology%5C%2Farticle%3Fid%3D10.1371%5C%2Fjournal.pbio.3001670%22%2C%22collections%22%3A%5B%22X6WG2SBA%22%5D%2C%22dateModified%22%3A%222022-10-27T17%3A02%3A38Z%22%7D%7D%2C%7B%22key%22%3A%22VNZJM67T%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kahl%20et%20al.%22%2C%22parsedDate%22%3A%222021-09%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKahl%2C%20S.%2C%20T.%20Denton%2C%20H.%20Klinck%2C%20H.%20Glotin%2C%20H.%20Go%26%23xEB%3Bau%2C%20W.%20Vellinga%2C%20R.%20Planque%2C%20and%20A.%20Joly%20%282021%29.%20Overview%20of%20BirdCLEF%202021%3A%20Bird%20call%20identification%20in%20soundscape%20recordings.%20CLEF%202021.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Overview%20of%20BirdCLEF%202021%3A%20Bird%20call%20identification%20in%20soundscape%20recordings%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T.%22%2C%22lastName%22%3A%22Denton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Glotin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Go%5Cu00ebau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22W.%22%2C%22lastName%22%3A%22Vellinga%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%22%2C%22lastName%22%3A%22Planque%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Joly%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%22September%202021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22I53U2S8I%22%5D%2C%22dateModified%22%3A%222021-10-27T18%3A47%3A18Z%22%7D%7D%2C%7B%22key%22%3A%22YDID33V7%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wood%20et%20al.%22%2C%22parsedDate%22%3A%222021-02-15%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EWood%2C%20C.%20M.%2C%20S.%20Kahl%2C%20P.%20Chaon%2C%20M.%20Z.%20Peery%2C%20and%20H.%20Klinck%20%282021%29.%20Survey%20coverage%2C%20recording%20duration%20and%20community%20composition%20affect%20observed%20species%20richness%20in%20passive%20acoustic%20surveys.%20Methods%20in%20Ecology%20and%20Evolution.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2F2041-210X.13571%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2F2041-210X.13571%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Survey%20coverage%2C%20recording%20duration%20and%20community%20composition%20affect%20observed%20species%20richness%20in%20passive%20acoustic%20surveys%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%20M.%22%2C%22lastName%22%3A%22Wood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Chaon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%20Z.%22%2C%22lastName%22%3A%22Peery%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Klinck%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2215%20February%202021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1111%5C%2F2041-210X.13571%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22YRFFJACB%22%2C%22HW7AJZSA%22%2C%22I53U2S8I%22%5D%2C%22dateModified%22%3A%222021-05-19T01%3A21%3A45Z%22%7D%7D%2C%7B%22key%22%3A%22J6JAQJ66%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kahl%20et%20al.%22%2C%22parsedDate%22%3A%222021-01-27%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKahl%2C%20S.%2C%20C.%20M.%20Wood%2C%20M.%20Eibl%2C%20and%20H.%20Klinck%20%282021%29.%20BirdNET%3A%20A%20deep%20learning%20solution%20for%20avian%20diversity%20monitoring.%20Ecological%20Informatics.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.ecoinf.2021.101236%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.ecoinf.2021.101236%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22BirdNET%3A%20A%20deep%20learning%20solution%20for%20avian%20diversity%20monitoring%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%20M.%22%2C%22lastName%22%3A%22Wood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M%22%2C%22lastName%22%3A%22Eibl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H%22%2C%22lastName%22%3A%22Klinck%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2227%20January%202021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.ecoinf.2021.101236%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22HW7AJZSA%22%2C%22I53U2S8I%22%5D%2C%22dateModified%22%3A%222021-05-19T01%3A21%3A22Z%22%7D%7D%2C%7B%22key%22%3A%22ZGJ9VWVI%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kahl%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKahl%2C%20S.%2C%20T.%20Wilhelm-Stein%2C%20H.%20Klinck%2C%20D.%20Kowerko%2C%20and%20M.%20Eibl%20%282018%29.%20Recognizing%20birds%20from%20sound--the%202018%20BirdCLEF%20Baseline%20System.%20Computer%20Vision%20and%20Pattern%20Recognition.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2FarXiv%3A1804.07177v1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2FarXiv%3A1804.07177v1%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Recognizing%20birds%20from%20sound--the%202018%20BirdCLEF%20Baseline%20System%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T.%22%2C%22lastName%22%3A%22Wilhelm-Stein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Kowerko%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Eibl%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222018%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22arXiv%3A1804.07177v1%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22QN5WUZFD%22%2C%22RT4CWHC2%22%2C%227VPRZWJE%22%2C%228CVU3MXB%22%5D%2C%22dateModified%22%3A%222020-04-07T23%3A36%3A59Z%22%7D%7D%2C%7B%22key%22%3A%2242QU2IAB%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kahl%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKahl%2C%20S.%2C%20S.%20Wilhelm-Stein%2C%20H.%20Hussein%2C%20H.%20Klinck%2C%20D.%20Kowerko%2C%20M.%20Ritter%2C%20and%20M.%20Eibl%20%282017%29.%20Large-Scale%20Bird%20Sound%20Classification%20using%20Convolutional%20Neural%20Networks.%20LifeCLEF%202017%20Dublin%2C%20Ireland%2C%2012-13%20September%202017.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Large-Scale%20Bird%20Sound%20Classification%20using%20Convolutional%20Neural%20Networks.%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Wilhelm-Stein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Hussein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Kowerko%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Ritter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Eibl%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222017%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22AZC8I8RJ%22%2C%22X7JQF2XW%22%2C%22RT4CWHC2%22%5D%2C%22dateModified%22%3A%222020-04-07T23%3A36%3A59Z%22%7D%7D%2C%7B%22key%22%3A%227BS86UJG%22%2C%22library%22%3A%7B%22id%22%3A2804417%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Joly%20et%20al.%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EJoly%2C%20A.%2C%20H.%20Go%26%23xEB%3Bau%2C%20S.%20Kahl%2C%20L.%20Picek%2C%20E.%20Cole%2C%20B.%20Deneu%2C%20M.%20Servajean%2C%20A.%20Durso%2C%20H.%20Glotin%2C%20R.%20Planqu%26%23xE9%3B%2C%20A.%20Navine%2C%20et%20al.%20%28no%20date%29.%20Overview%20of%20LifeCLEF%202022%3A%20an%20evaluation%20of%20Machine-Learning%20based%20Species%20Identification%20and%20Species%20Distribution%20Prediction.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Overview%20of%20LifeCLEF%202022%3A%20an%20evaluation%20of%20Machine-Learning%20based%20Species%20Identification%20and%20Species%20Distribution%20Prediction%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexis%22%2C%22lastName%22%3A%22Joly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Herv%5Cu00e9%22%2C%22lastName%22%3A%22Go%5Cu00ebau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Kahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luk%5Cu00e1%5Cu0161%22%2C%22lastName%22%3A%22Picek%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elijah%22%2C%22lastName%22%3A%22Cole%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Deneu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maximilien%22%2C%22lastName%22%3A%22Servajean%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%22%2C%22lastName%22%3A%22Durso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Herv%5Cu00e9%22%2C%22lastName%22%3A%22Glotin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%22%2C%22lastName%22%3A%22Planqu%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amanda%22%2C%22lastName%22%3A%22Navine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Holger%22%2C%22lastName%22%3A%22Klinck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tom%22%2C%22lastName%22%3A%22Denton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ivan%22%2C%22lastName%22%3A%22Eggel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pierre%22%2C%22lastName%22%3A%22Bonnet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Milan%22%2C%22lastName%22%3A%22%5Cu0160ulc%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marek%22%2C%22lastName%22%3A%22Hr%5Cu00faz%22%7D%5D%2C%22abstractNote%22%3A%22Building%20accurate%20knowledge%20of%20the%20identity%2C%20the%20geographic%20distribution%20and%20the%20evolution%20of%20species%20is%20essential%20for%20the%20sustainable%20development%20of%20humanity%2C%20as%20well%20as%20for%20biodiversity%20conservation.%20However%2C%20the%20di%5Cufb00iculty%20of%20identifying%20plants%2C%20animals%20and%20fungi%20is%20hindering%20the%20aggregation%20of%20new%20data%20and%20knowledge.%20Identifying%20and%20naming%20living%20organisms%20is%20almost%20impossible%20for%20the%20general%20public%20and%20is%20often%20di%5Cufb00icult%20even%20for%20professionals%20and%20naturalists.%20Bridging%20this%20gap%20is%20a%20key%20step%20towards%20enabling%20effective%20biodiversity%20monitoring%20systems.%20The%20LifeCLEF%20campaign%2C%20presented%20in%20this%20paper%2C%20has%20been%20promoting%20and%20evaluating%20advances%20in%20this%20domain%20since%202011.%20The%202022%20edition%20proposes%20five%20data-oriented%20challenges%20related%20to%20the%20identification%20and%20prediction%20of%20biodiversity%3A%20%28i%29%20PlantCLEF%3A%20very%20large-scale%20plant%20identification%2C%20%28ii%29%20BirdCLEF%3A%20bird%20species%20recognition%20in%20audio%20soundscapes%2C%20%28iii%29%20GeoLifeCLEF%3A%20remote%20sensing%20based%20prediction%20of%20species%2C%20%28iv%29%20SnakeCLEF%3A%20snake%20species%20identification%20on%20a%20global%20scale%2C%20and%20%28v%29%20FungiCLEF%3A%20fungi%20recognition%20as%20an%20open%20set%20classification%20problem.%20This%20paper%20overviews%20the%20motivation%2C%20methodology%20and%20main%20outcomes%20of%20that%20five%20challenges.%22%2C%22date%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%229BUGNQUJ%22%5D%2C%22dateModified%22%3A%222023-05-18T14%3A49%3A57Z%22%7D%7D%5D%7D
McGinn, K., S. Kahl, M. Z. Peery, H. Klinck, and C. M. Wood (2023).
Feature embeddings from the BirdNET algorithm provide insights into avian ecology. Ecological Informatics 74:101995.
Brunk, K. M., R. J. Gutiérrez, M. Z. Peery, C. A. Cansler, S. Kahl, and C. M. Wood (2023).
Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests. Fire Ecology 19:19.
Kahl, S., A. Navine, T. Denton, H. Klinck, P. Hart, H. Glotin, H. Goëau, W.-P. Vellinga, R. Planqué, and A. Joly (2022).
Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings. p. 1929.
Kahl, S., T. Denton, H. Klinck, H. Glotin, H. Goëau, W. Vellinga, R. Planque, and A. Joly (2021). Overview of BirdCLEF 2021: Bird call identification in soundscape recordings. CLEF 2021.
Wood, C. M., S. Kahl, P. Chaon, M. Z. Peery, and H. Klinck (2021). Survey coverage, recording duration and community composition affect observed species richness in passive acoustic surveys. Methods in Ecology and Evolution.
https://doi.org/10.1111/2041-210X.13571
Kahl, S., C. M. Wood, M. Eibl, and H. Klinck (2021). BirdNET: A deep learning solution for avian diversity monitoring. Ecological Informatics.
https://doi.org/10.1016/j.ecoinf.2021.101236
Kahl, S., T. Wilhelm-Stein, H. Klinck, D. Kowerko, and M. Eibl (2018). Recognizing birds from sound--the 2018 BirdCLEF Baseline System. Computer Vision and Pattern Recognition.
https://doi.org/arXiv:1804.07177v1
Kahl, S., S. Wilhelm-Stein, H. Hussein, H. Klinck, D. Kowerko, M. Ritter, and M. Eibl (2017). Large-Scale Bird Sound Classification using Convolutional Neural Networks. LifeCLEF 2017 Dublin, Ireland, 12-13 September 2017.
Joly, A., H. Goëau, S. Kahl, L. Picek, E. Cole, B. Deneu, M. Servajean, A. Durso, H. Glotin, R. Planqué, A. Navine, et al. (no date). Overview of LifeCLEF 2022: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction.
