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{{Short description|Haikubox: automatic birdsong identifier}}
{{Short description|Automatic birdsong identifier}}
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{{AfC topic|product}}
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{{AFC comment|1=For example, "Haikubox supports community science and seeks to improve environmental literacy and stewardship by helping people learn and care about birds. The Haikubox website and smartphone apps include images of identified bird species, sound recording clips, spectrograms (a visual representation of sound), summary and detailed bird vocalization data, and connections to authoritative ornithological websites including eBird and All About Birds." is not neutral at all. I see that you found reviews of this technology. Quote those reviews instead. [[User:Ca|Ca]] <sup><i>[[User talk:Ca|talk to me!]]</i></sup> 11:25, 2 July 2023 (UTC)}}

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{{Paid contributions|date=October 2022}}
{{Paid contributions|date=October 2022}}


'''Haikubox''' is an [[Artificial intelligence|artificial intelligence (AI)]]-enabled device which automatically and continuously identifies backyard birds using their vocalizations. Haikubox was developed by Loggerhead Instruments which also develops and manufactures [[bioacoustics]] equipment for oceanographic research.<ref>{{cite web |title=Loggerhead Instruments website |url=https://www.loggerhead.com/}}</ref>
'''Haikubox''' is an [[Artificial intelligence|artificial intelligence (AI)]]-enabled device which automatically and continuously identifies backyard birds using their vocalizations. Haikubox was developed by Loggerhead Instruments which also develops and manufactures [[bioacoustics]] equipment for oceanographic research.<ref>{{Cite web|url=https://www.loggerhead.com/|title=Loggerhead Instruments|website=Loggerhead Instruments}}</ref>


[[File:Haikubox Demo box|thumb|Haikubox installed at a customer's home.]]
[[File:App Screengrabs for website.jpg|thumb|Haikubox website and mobile app]]
[[File:Haikubox App screen shot|thumb|Haikubox smartphone app and website screenshots.]]


Haikubox uses a [[Artificial neural network|neural net]] developed through a collaboration with the creators of BirdNET Sound ID at the [[Cornell Lab of Ornithology|Cornell Lab of Ornithology's]] K. Lisa Yang Center for Conservation Bioacoustics.<ref>{{cite news |last1=Kimel |first1=Earle |title=Haikubox gives citizen scientists a tool to track birds through the sound of their song |url=https://www.heraldtribune.com/story/news/local/2022/09/06/sarasota-company-helps-identify-birds-through-haikubox/10264859002/ |access-date=19 October 2022 |work=Herald-Tribune |publisher=USA TODAY |date=6 September 2022}}</ref>
Haikubox uses a [[Artificial neural network|neural net]] developed through a collaboration with the creators of BirdNET Sound ID<ref>{{cite web |title=BirdNET-Analyzer |url=https://github.com/kahst/BirdNET-Analyzer |website=Github |access-date=8 November 2023}}</ref> at the [[Cornell Lab of Ornithology|Cornell Lab of Ornithology's]] K. Lisa Yang Center for Conservation Bioacoustics.<ref>{{cite news |last1=Kimel |first1=Earle |title=Haikubox gives citizen scientists a tool to track birds through the sound of their song |url=https://www.heraldtribune.com/story/news/local/2022/09/06/sarasota-company-helps-identify-birds-through-haikubox/10264859002/ |access-date=19 October 2022 |work=Herald-Tribune |publisher=USA TODAY |date=6 September 2022}}</ref>


Each Haikubox becomes a node in a [[passive acoustics|passive acoustic monitoring (PAM)]]<ref>{{cite journal |last1=Ross |first1=Samuel R. P.-J. |title=Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions |journal=Functional Ecology |date=10 January 2023 |volume=37 |issue=4 |page=959-975 |url=https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2435.14275 |access-date=18 June 2023 |publisher=British Ecological Society}}</ref> network which researchers can use to map bird behavior. PAM, especially when paired with [[machine learning]], is emerging as an efficient, non-invasive and low-cost way to study animals and their behavioral responses to environmental change.<ref>{{cite journal |last1=Gibb |first1=Rory |title=Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring |journal=Methods in Ecology and Evolution |date=4 October 2018 |volume=10 |issue=2 |page=169-185 |url=https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13101 |access-date=18 June 2023 |publisher=British Ecological Society}}</ref>
Each Haikubox becomes a node in a [[passive acoustics|passive acoustic monitoring (PAM)]]<ref>{{cite journal |last1=Ross |first1=Samuel R. P.-J. |title=Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions |journal=Functional Ecology |date=10 January 2023 |volume=37 |issue=4 |page=959-975 |publisher=British Ecological Society|doi=10.1111/1365-2435.14275 |bibcode=2023FuEco..37..959R |s2cid=256177246 |doi-access=free |url=https://oist.repo.nii.ac.jp/record/2928/files/Ross-2023-Passive%20acoustic%20monitoring%20provides.pdf }}</ref> network which researchers can use to map bird behavior. PAM, especially when paired with [[machine learning]], is emerging as an efficient, non-invasive and low-cost way to study animals and their behavioral responses to environmental change.<ref>{{cite journal |last1=Gibb |first1=Rory |title=Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring |journal=Methods in Ecology and Evolution |date=4 October 2018 |volume=10 |issue=2 |page=169-185 |publisher=British Ecological Society|doi=10.1111/2041-210X.13101 |s2cid=92554621 |doi-access=free |url=https://discovery.ucl.ac.uk/10056819/1/Gibb_et_al-2018-Methods_in_Ecology_and_Evolution.pdf }}</ref> An article published online by bioGraphic<ref>{{cite web |last1=Dobbs |first1=David |title=What Conservation Sounds Like |url=https://www.biographic.com/what-conservation-sounds-like/ |website=bioGraphic |date=17 February 2023 |publisher=California Academy of Sciences |access-date=8 November 2023}}</ref> and later in Living Bird Magazine,<ref>{{cite journal |last1=Dobbs |first1=David |title=What Conservation Sounds Like |journal=Living Bird |date=Autumn 2023 |volume=42 |issue=4 |pages=44–53 |url=https://www.allaboutbirds.org/news/what-does-conservation-sound-like/# |access-date=8 November 2023}}</ref> summarized the history of bioacoustics and outlined the potential of PAM to revolutionize scientific research and conservation efforts, noting that Haikubox is "one of the products of this revolution."


Haikubox was named a TIME Best Invention 2024<ref>{{cite web |title=The Best Inventions of 2024 |url=https://time.com/collection/best-inventions-2024/ |website=TIME |access-date=4 November 2024}}</ref> and has been reviewed in WIRED Magazine,<ref>{{cite magazine |last1=Gilbertson |first1=Scott |title=Review: Haikubox |url=https://www.wired.com/review/haikubox-bird-song-recorder/ |magazine=WIRED |date=17 September 2022 |publisher=WIRED |access-date=8 November 2023}}</ref> Audubon Magazine,<ref>{{cite journal |last1=Leber |first1=Jessica |title=These Smart Devices Can Identify the Birds Outside Your Window |journal=Audubon Magazine |date=10 July 2023 |issue=Summer 2023 |page=61 |url=https://www.audubon.org/news/these-smart-devices-can-identify-birds-outside-your-window |access-date=8 November 2023}}</ref> Birdwatching Magazine,<ref>{{cite journal |last1=Johnson |first1=Hans |title=Always Listening |journal=BirdWatching |issue=January/February 2023 |pages=42–43 |url=https://www.discountmags.com/au/magazine/birdwatching-january-1-2023-digital/in-this-issue/8774}}</ref> and Axios Tampa Bay,<ref>{{cite web |last1=Montgomery |first1=Ben |title=New tool identifies birds in your backyard |url=https://www.axios.com/local/tampa-bay/2022/10/13/haikubox-bird-identification-tool?stream=top |website=Axios Tampa Bay |publisher=Axios |access-date=8 November 2023}}</ref> and appeared on the WIRED Wish List 2022<ref>{{cite magazine |title=Wish List: 42 Incredible Gifts to Give and Get |magazine=WIRED |date=15 November 2022 |volume=30 |issue=12 |page=29 |url=https://www.wired.com/gallery/wish-list-2022-incredible-gifts/ |access-date=8 November 2023}}</ref> and a 2023 guide to best bird watching gear.<ref>{{cite magazine |last1=Gilbertson |first1=Scott |title=Here's All the Gear You Need to Start Birding |url=https://www.wired.com/story/best-bird-watching-gear/ |magazine=WIRED |publisher=WIRED |access-date=8 November 2023}}</ref>
An Axios Tampa Bay article<ref>{{cite news |last1=Montgomery |first1=Ben |title=New tool identifies birds in your backyard |url=https://www.axios.com/local/tampa-bay/2022/10/13/haikubox-bird-identification-tool |access-date=19 October 2022 |agency=Axios Tampa Bay |date=13 October 2022}}</ref> noted that "Haikubox is a first-of-its-kind AI-enabled device that continuously detects and identifies backyard birds with help from a neural net and thousands of bird recordings at Cornell" and stated that "Every Haikubox owner is like a citizen-scientist, contributing information to the largest dataset of bird behavior ever assembled" to study "migration patterns, when species are active, and environmental changes."


⚫
The device was named "Haikubox" because it observes nature, much like [[haiku]] poems which capture a moment in time and often focus on nature imagery.
As noted in the Summer 2023 issue of Audubon Magazine, "We found the Haikubox to be an innovative, fun, and somewhat addictive product. From the mobile app, you can customize alerts for target species or new visitors, play back the audio clips of songs, and view and sort your data in a variety of ways -- all while contributing to community science efforts."<ref>{{cite web |last1=Leber |first1=Jessica |title=These Smart Devices Can Identify the Birds Outside Your Window |url=https://www.audubon.org/news/these-smart-devices-can-identify-birds-outside-your-window |website=Audubon |publisher=National Audubon Society |access-date=14 July 2023}}</ref>


⚫
Development of Haikubox was supported in large part by [[Small Business Innovation Research|National Science Foundation's SBIR (Small Business Innovation Research)]] funding (Cooperative Agreement No. 2135664).<ref>{{cite web |title=Award Abstract #2135664, SBIR Phase II: Building a Nature Monitoring Network for Birds |url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=2135664&HistoricalAwards=false |website=National Science Foundation |access-date=2 November 2023}}</ref>
A WIRED Magazine review<ref>{{cite magazine |last1=Gilbertson |first1=Scott |title=Review: Haikubox |url=https://www.wired.com/review/haikubox-bird-song-recorder/ |access-date=19 October 2022 |magazine=WIRED |publisher=WIRED |date=17 September 2022}}</ref> noted "It's one of the rare pieces of technology that actually increases your connection to the world around you, rather than cutting you off." Haikubox was included in the WIRED Wish List 2022: 42 Incredible Gifts to Give and Get.<ref>{{cite journal |title=Wish List 2022: 42 Incredible Gifts to Give and Get |journal=WIRED |issue=Dec/Jan 2022/2023 |page=27-47 |url=https://www.wired.com/gallery/wish-list-2022-incredible-gifts/ |access-date=2 July 2023}}</ref>


[[File:Haikubox horizontal.jpg|thumb]]
⚫
The device was named "Haikubox" because it carefully observes nature, much like [[haiku]] poems which capture a moment in time and often focus on nature imagery.


⚫
== References ==
⚫
Development of Haikubox was supported in large part by [[Small Business Innovation Research|National Science Foundation's SBIR (Small Business Innovation Research)]] funding (Cooperative Agreement No. 2135664).


⚫
== References ==
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{{reflist}}
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[[Category:Bird sounds]]
[[Category:Wild animals identification]]
[[Category:Digital signal processing]]
[[Category:Applications of artificial intelligence]]

Latest revision as of 14:59, 4 November 2024

Haikubox is an artificial intelligence (AI)-enabled device which automatically and continuously identifies backyard birds using their vocalizations. Haikubox was developed by Loggerhead Instruments which also develops and manufactures bioacoustics equipment for oceanographic research.[1]

Haikubox website and mobile app

Haikubox uses a neural net developed through a collaboration with the creators of BirdNET Sound ID[2] at the Cornell Lab of Ornithology's K. Lisa Yang Center for Conservation Bioacoustics.[3]

Each Haikubox becomes a node in a passive acoustic monitoring (PAM)[4] network which researchers can use to map bird behavior. PAM, especially when paired with machine learning, is emerging as an efficient, non-invasive and low-cost way to study animals and their behavioral responses to environmental change.[5] An article published online by bioGraphic[6] and later in Living Bird Magazine,[7] summarized the history of bioacoustics and outlined the potential of PAM to revolutionize scientific research and conservation efforts, noting that Haikubox is "one of the products of this revolution."

Haikubox was named a TIME Best Invention 2024[8] and has been reviewed in WIRED Magazine,[9] Audubon Magazine,[10] Birdwatching Magazine,[11] and Axios Tampa Bay,[12] and appeared on the WIRED Wish List 2022[13] and a 2023 guide to best bird watching gear.[14]

The device was named "Haikubox" because it observes nature, much like haiku poems which capture a moment in time and often focus on nature imagery.

Development of Haikubox was supported in large part by National Science Foundation's SBIR (Small Business Innovation Research) funding (Cooperative Agreement No. 2135664).[15]

References

[edit]
  1. ^ "Loggerhead Instruments". Loggerhead Instruments.
  2. ^ "BirdNET-Analyzer". Github. Retrieved 8 November 2023.
  3. ^ Kimel, Earle (6 September 2022). "Haikubox gives citizen scientists a tool to track birds through the sound of their song". Herald-Tribune. USA TODAY. Retrieved 19 October 2022.
  4. ^ Ross, Samuel R. P.-J. (10 January 2023). "Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions" (PDF). Functional Ecology. 37 (4). British Ecological Society: 959-975. Bibcode:2023FuEco..37..959R. doi:10.1111/1365-2435.14275. S2CID 256177246.
  5. ^ Gibb, Rory (4 October 2018). "Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring" (PDF). Methods in Ecology and Evolution. 10 (2). British Ecological Society: 169-185. doi:10.1111/2041-210X.13101. S2CID 92554621.
  6. ^ Dobbs, David (17 February 2023). "What Conservation Sounds Like". bioGraphic. California Academy of Sciences. Retrieved 8 November 2023.
  7. ^ Dobbs, David (Autumn 2023). "What Conservation Sounds Like". Living Bird. 42 (4): 44–53. Retrieved 8 November 2023.
  8. ^ "The Best Inventions of 2024". TIME. Retrieved 4 November 2024.
  9. ^ Gilbertson, Scott (17 September 2022). "Review: Haikubox". WIRED. WIRED. Retrieved 8 November 2023.
  10. ^ Leber, Jessica (10 July 2023). "These Smart Devices Can Identify the Birds Outside Your Window". Audubon Magazine (Summer 2023): 61. Retrieved 8 November 2023.
  11. ^ Johnson, Hans. "Always Listening". BirdWatching (January/February 2023): 42–43.
  12. ^ Montgomery, Ben. "New tool identifies birds in your backyard". Axios Tampa Bay. Axios. Retrieved 8 November 2023.
  13. ^ "Wish List: 42 Incredible Gifts to Give and Get". WIRED. Vol. 30, no. 12. 15 November 2022. p. 29. Retrieved 8 November 2023.
  14. ^ Gilbertson, Scott. "Here's All the Gear You Need to Start Birding". WIRED. WIRED. Retrieved 8 November 2023.
  15. ^ "Award Abstract #2135664, SBIR Phase II: Building a Nature Monitoring Network for Birds". National Science Foundation. Retrieved 2 November 2023.
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