Dclde

Detection, Classification, Localization & Density Estimation of #MarineMammals using #PassiveAcousticMonitoring workshop
🌴See you soon for O'ahu 2022! 🌴

[Dclde @dclde]

Just a reminder to make your #dclde2022 purchases before March 25 when the shopify online store closes!! #2daysaway

https://t.co/wre1fPlgJO

[Dclde @dclde]

As the sun set's here in #hawaii🌴, we want to say #mahalo for attending #dclde2022! We have enjoyed a full week of informative tutorials & excellent talks, speed talks/posters and socials! We look forward to seeing you at the next @dclde conference in 2 years in the Netherlands!

[Dclde @dclde]

A big #mahalo to all our #dclde2022 sponsors including @acousticsorg , @NOAA, @USNavyResearch, @USNavy's Living Marine Resources, & @googlecloud!

[Dclde @dclde]

The first #dclde2022 #hybridworkshop was a huge success! 172 attendees participating both in-person or virtually, had the opportunity to listen to 84 talks & engage in meaningful discussion. So great to see all your faces as we advance the field of marine mammals #acoustics!

[Dclde @dclde]

Join us for #dclde2022 Discussion and Closing Remarks in 15 minutes!

[Dclde @dclde]

"That is g(0) what we expected."

@KJ_PalmerPhD gets the award for "Best Joke" of #dclde2022

[Dclde @dclde]

Taylor LeBlond from Fisheries and Oceans Canada uses music information retrieval techniques for automatic detection and identification of various #cetacean calls #dclde2022

[Dclde @dclde]

Tyler Heble developed a new generalized sonar detector using a shallow learning net. Detector performed well on evaluation datasets from #SanctSound #dclde2022

[Ellen White @OceansE11en]

Such a great experience at my first in-person conference presenting my PhD research on deep learning for soundscapes. @dclde is such a great community, Im already excited for 2024!!

[Danielle Harris @dvharris1]

Last day of #dclde2022 It’s been a fantastic week of science and connecting with colleagues and friends both in-person and virtually. Thanks to all the @dclde team!

[Dclde @dclde]

What's all that noise? In noisy #Singapore waters, @arlnus @harivn and @nparksbuzz use #MachineLearning to clean snapping-shrimp noise and detect marine-mammal vocalizations using ConvNets. Singapore gets visits from marine mammals including Pink #dolphins and #dugongs

[Dclde @dclde]

David Mellinger @OregonState introduces "FindPorpoises", a deep-learning system for detection, classification, and reporting of harbor porpoise sounds. #dclde2022

[Dclde @dclde]

Pu Li from @SDSU presents a 3 stage-wise generative adversarial network model to extract whistles in #passiveacoustic data #dclde2022

[Dclde @dclde]

Join us for our last #dclde2022 session, Machine Learning Applications in ‘Noisy’ Environments, featuring Pu Li, David Mellinger, Hari Vishnu, Tyler Helble, & Taylor LeBlond. 30 min discussion to follow. Tune in #live or through app. Talks available online by the end of the day.

[Dclde @dclde]

Distributed acoustic sensing in submarine fiber optic cables is an exciting new technology for recording baleen whale low frequency calls. Community DAS experiment on @NSF @OceanObserv @OceanObserving Regional Cabled Array operated by @UWOcean is putting data into public domain.

[Dclde @dclde]

Eavesdropping at the speed of light? @LeaBouffaut presents how a fiber optic cable in #Svalbard can be used to monitor #bluewhales at the doorstep of the #Arctic #fiberoptic #DistributedAcousticSensing @NTNU, Center for Geophysical Forecasting @CornellBirds @listenforwhales

[Dclde @dclde]

Join our next #dclde2022 session, Distributed Ocean Sensors, featuring Léa Bouffaut, and William Wilcock. 12 min discussion to follow. Tune in #live or through app. Talks available online by the end of the day.

[Dclde @dclde]

Can we really tell who`s calling? To improve individual cue rate estimation, @dombroski_julia & @ACCURATEProject collaborators (@ParksLabSU, @NTNUnorway & @_SMRU_ ) are testing reliability of accelerometer signals to attribute calls to tagged baleen whales #dclde2022 #biologging

[Dclde @dclde]

A new study lead by @AzWhaleLab in collaboration with other 12 researchers show how #FinWhale songs changed over two decades in the #Atlantic Ocean, challenging cue rate measures for acoustic density estimation in this species. @MiriamRomagosa #dclde2022

[Dclde @dclde]

Join our next #dclde2022 session, Counting Sounds for Counting Critters, featuring Cameron Martin, Miriam Romagosa & Julia Dombroski. 12 min discussion to follow. Tune in #live or through app. Talks available online by the end of the day.