#birdnet — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #birdnet, aggregated by home.social.
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Audio spectrogram of a Cooper's Hawk.
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Audio spectrogram of a Cooper's Hawk.
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Audio spectrogram of a Cooper's Hawk.
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Audio spectrogram of a Cooper's Hawk.
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Audio spectrogram of a Cooper's Hawk.
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A Wild Turkey (Meleagris gallopavo) was just detected with a confidence of 0.7003 (first time today) #birding #birdwatching #BirdNET
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A Brown Thrasher (Toxostoma rufum) was just detected with a confidence of 0.7857 (first time today) #birding #birdwatching #BirdNET
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A Northern Flicker (Colaptes auratus) was just detected with a confidence of 0.7442 (first time today) #birding #birdwatching #BirdNET
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A Eastern Bluebird (Sialia sialis) was just detected with a confidence of 0.8109 (first time today) #birding #birdwatching #BirdNET
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A Pileated Woodpecker (Dryocopus pileatus) was just detected with a confidence of 0.7922 (first time today) #birding #birdwatching #BirdNET
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A House Sparrow (Passer domesticus) was just detected with a confidence of 0.8101 (first time today) #birding #birdwatching #BirdNET
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A Chipping Sparrow (Spizella passerina) was just detected with a confidence of 0.7047 (first time today) #birding #birdwatching #BirdNET
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A Carolina Wren (Thryothorus ludovicianus) was just detected with a confidence of 0.7411 (first time today) #birding #birdwatching #BirdNET
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#Birdnetpi #Nature #Birdwatching #SanDiego #NaturalHistory #BirdNET
Three audio spectrograms of a Bewick's wren recorded within a minute. The visual representation makes recognizing the bird easier than the sound, at least to me. Notice that the distinctive chirps come as a set of three, four, and five. The bird either can't count or it can count and changes this feature of it's call for reasons a mere mammal can't understand.
Recorded on a home-brew Birdnet-Pi in my back yard in San Diego.
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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Ich habe heute zum ersten Mal sowohl einen Pirol, als auch einen Kuckuck zwischen Plänterwald & Karpfenteich gehört. Sonst finde ich beide Arten eher am Stadtrand. Die so zentral zu hören ist für mich neu, oder hab ich es in den Jahren zuvor verpasst?
#Stadtnatur #Berlin #Treptow #UrbanBirding #BirdNet #artenvielfalt
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Ich habe heute zum ersten Mal sowohl einen Pirol, als auch einen Kuckuck zwischen Plänterwald & Karpfenteich gehört. Sonst finde ich beide Arten eher am Stadtrand. Die so zentral zu hören ist für mich neu, oder hab ich es in den Jahren zuvor verpasst?
#Stadtnatur #Berlin #Treptow #UrbanBirding #BirdNet #artenvielfalt
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Ich habe heute zum ersten Mal sowohl einen Pirol, als auch einen Kuckuck zwischen Plänterwald & Karpfenteich gehört. Sonst finde ich beide Arten eher am Stadtrand. Die so zentral zu hören ist für mich neu, oder hab ich es in den Jahren zuvor verpasst?
#Stadtnatur #Berlin #Treptow #UrbanBirding #BirdNet #artenvielfalt
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Ich habe heute zum ersten Mal sowohl einen Pirol, als auch einen Kuckuck zwischen Plänterwald & Karpfenteich gehört. Sonst finde ich beide Arten eher am Stadtrand. Die so zentral zu hören ist für mich neu, oder hab ich es in den Jahren zuvor verpasst?
#Stadtnatur #Berlin #Treptow #UrbanBirding #BirdNet #artenvielfalt
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Ich habe heute zum ersten Mal sowohl einen Pirol, als auch einen Kuckuck zwischen Plänterwald & Karpfenteich gehört. Sonst finde ich beide Arten eher am Stadtrand. Die so zentral zu hören ist für mich neu, oder hab ich es in den Jahren zuvor verpasst?
#Stadtnatur #Berlin #Treptow #UrbanBirding #BirdNet #artenvielfalt
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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For more information on the project, see here: https://github.com/Nachtzuster/BirdNET-Pi (Nachtzuster fork) #Birdnet #Derby
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Тестирование алгоритмов шумоподавления для сложных акустических условиях
Распознавание речи в реальных условиях представляет собой одну из наиболее сложных задач в области обработки сигналов. Особенно актуальна эта проблема для роботов, которые должны функционировать в разнообразных зашумленных условиях: в толпе людей, на открытом воздухе при сильном ветре, в помещениях с высоким уровнем фонового шума. Традиционные алгоритмы шумоподавления, разработанные для стационарных условий, оказываются неэффективными в таких сценариях. В данной статье описывается исследовательский проект по разработке и оптимизации алгоритмов цифровой обработки сигналов для обеспечения надежного распознавания речи в экстремальных акустических условиях. В качестве тестовой платформы использована система автоматического распознавания птиц на базе BirdNET-Go, что позволило проводить длительные полевые испытания в естественных условиях с разнообразными типами шумов. Ключевой задачей проекта был подбор оптимальных алгоритмов фильтрации и их параметров для работы с нестационарным шумом. В процессе исследования были реализованы и протестированы различные подходы к шумоподавлению, включая спектральное вычитание, адаптивные фильтры и алгоритмы на основе минимальной среднеквадратичной ошибки. Особое внимание уделено алгоритму Log-MMSE (Minimum Mean-Square Error Log-Spectral Amplitude Estimator), который показал наилучшие результаты в условиях нестационарного шума. Выбор птиц в качестве тестового объекта был неслучаен: вокализация врановых (ворон, сойка, сорока, галка, грач) по своим частотным характеристикам близка к человеческой речи, что делает их идеальной моделью для отработки алгоритмов, предназначенных для роботов. Длительные полевые записи в различных погодных условиях позволили собрать обширную базу данных для анализа эффективности различных подходов к шумоподавлению. Полетели послушаем
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My Port Hills audio recorders seem to have detected a ruru (morepork) in Kennedy's Bush. This morning I listened to the sections of recording that BirdNet had identified with moderate certainty as being riflemen (no, these were baby korimako), pīpipi (no, these were a combination of riroriro and piwakawaka singing at once), and ruru. Surprisingly, the ruru seem to be ruru, just five detections in total over a 10 day stretch from Kennedy's Bush.
I've just posted them on #iNaturalist, where they're the first ruru from the Port Hills. I recently heard that someone had heard a ruru at Living Springs, and eBird has one record, without a recording, from Hackthorne Road from 2023. I'm not aware of any ruru in Kennedys Bush or elsewhere in the Port Hills.
It's promising, if true. Oddly, my owl was singing in the day time. Perhaps it's a young bird travelling.
Have a listen and please disagree if you know of another local bird that would make similar calls.
#birds #owls #nz #Ninox #ruru #moreport #Christchurch #BirdNet #AudioMoth #EcologicalMonitoring #AudioMonitoring
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BirdNET Observation - Painted Bunting - Passerina ciris - 2025-07-04 15:50:44
#birdCall #bird #PaintedBunting #BirdNet #PasserinaCiris -
BirdNET Observation - Painted Bunting - Passerina ciris - 2025-07-04 15:50:44
#birdCall #bird #PaintedBunting #BirdNet #PasserinaCiris -
BirdNET Observation - Painted Bunting - Passerina ciris - 2025-07-04 15:50:44
#birdCall #bird #PaintedBunting #BirdNet #PasserinaCiris -
BirdNET Observation - Painted Bunting - Passerina ciris - 2025-07-04 15:50:44
#birdCall #bird #PaintedBunting #BirdNet #PasserinaCiris -
I'm off to bed but my computer cranks on. It's using #BirdNet to ID all the bird songs recorded by our garden's #AudioMoth from the first half of the week, while an R script is hooked into AWS to transcribe the 772 geotagged audio notes I made today on my monthly 12 km run up from the city through Victoria Park and around the native forest on Sugarloaf peak.
Some parts of our crazy Big Tech timeline I'm OK with. 😄
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I was puzzling over the weak seasonal pattern in the tauhou in my BirdNet graphs, since they're more common in the winter in our garden. I carefully checked my R code. Sure enough, I found an error on one line, where I'd added the BirdNet seconds onto the start time from the filename. Turns out adding seconds onto time is a bit slipperier in R than I'd thought.
Here are the greatly improved graphs (up to yesterday's recordings).
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@lightweight @yojimbo By the way, here’s what the unit looks like in our garden. It’s in a sistema case with a small hole by the microphone covered with a sound transparent water proof mesh sticker. It takes three AA batteries. I use some older rechargeable batteries which in the summer (longer days) I swap out and recharge every 4 days.
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Since June 2021 I've had an #AudioMoth constantly recording bird song in our garden from 2 hours before sunrise to 2 hours after sunset. Over the past months I've been using #BirdNet to identify all the bird species.
Today I've managed to spit out my first graphs. I'm excited to finally see results so wanted to share them. There's all sorts of things happening.
Next I'll be comparing these automated patterns with all the counts I make manually.
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#AudiomothApril is complete. 120 hours (well, 119 hours and 40 minutes because there's 5 seconds of silence every 30 minutes) of South East London early morning (0300-0700 BST).
Top 10 birds (at a 90% confidence) according to BirdNet (but I am suspicious of some of these given it sometimes identifies police sirens as tawny owls...):
+ Eurasian Wren
+ European Robin
+ Eurasian Blackbird
+ Eurasian Blue Tit
+ European Goldfinch
+ Eurasian Magpie
+ Common Wood-Pigeon
+ Great Tit
+ Redwing
+ Long-tailed Tit
https://soundcloud.com/zimpenfish/sets/audiomoth-april-2024
#Audiomoth #BirdNet #Birbs #BirdsAreNotReal