Xavier Mouy
@XavierMouy
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Assistant Scientist at the Woods Hole Institution of Oceanography (WHOI). Developing passive acoustic methods for monitoring fish, marine mammals & soundscapes
Miami, FL
Joined September 2017
"This all sounds fishy" - My PhD research summarized in 3 minutes. My PhD is done now, but this research is still going. Stay tuned. #3MT #fishsounds #PhDone #Tech4Wildlife @UVicScience @CanHealthyOcean @JuanesLab
https://t.co/BUDDPkat5x
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A summary of what the new US administration is doing to science.... https://t.co/POXylcRulD
open.spotify.com
Science Vs · Episode
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Getting quite lively on the other platform. So good to see interesting science posts again. Come join us on the other side :-)
We've made lots of friends on Blu*sky in the past 2 days, incl @DMennill @MathevonNicolas @xenocanto Added them to our starter pack with folx like @TessaRhinehart @BerthetMelissa @matspike @BorneanGibbons @pantamallion @MasYoungblood We'd love to add you, please RT! 🧵1/4
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We've made lots of friends on Blu*sky in the past 2 days, incl @DMennill @MathevonNicolas @xenocanto Added them to our starter pack with folx like @TessaRhinehart @BerthetMelissa @matspike @BorneanGibbons @pantamallion @MasYoungblood We'd love to add you, please RT! 🧵1/4
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The Woods Hole Oceanographic Institution (WHOI) invites candidates to apply to the open full-time tenure-track or tenured positions. Interests include ocean acoustics. https://t.co/3Sx4uT6aWa Application deadline: December 6, 2024
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🚨 !! JOB ALERT !! 2 years #postdoc Join the SEAPhony team @Cefrem1 to use passive acoustic data in the study of the dynamics of key European habitats within the TREC expedition (@EMBLtrec) and the @BIOcean5 EU project. Application information: https://t.co/zIAdMA99sK
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1/7 Excited to share our new study on the northern elephant seals. Published in @PLOSONE , unrevealing their deep sea underwater behaviors, with a focus on their sophisticated feeding strategies, prey preferences as well as resting habits. https://t.co/sIU51AkMPu
journals.plos.org
The Ocean Networks Canada (ONC) cabled video-observatory at the Barkley Canyon Node (British Columbia, Canada) was recently the site of a Fish Acoustics and Attraction Experiment (FAAE), from May 21,...
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Help us design a low-cost open-source hydrophone & acoustic recorder by completing this short survey. It will help us understand the current usage of underwater acoustic recorders and the specific need for a low-cost device. https://t.co/aveBEQaGPv
#bioacoustics
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Read a fresh scientific paper on Fish Sounds recorded at the @CoralCityCamera site ✨🐟🎤✨🐟 https://t.co/LFxDy5TwGu
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This work would have been impossible without the support of @DFO_Pacific @NOAAResearch @NSERC_CRSNG @CanHealthyOcean @JuanesLab @MitacsCanada @NOAAFish_NEFSC @jascoacoustics
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Work only possible with amazing co-authors: @ArcherEcology , Stan Dosso, Sarah Dudas, @ecophilina , @colin_foord , @wdhalliday, @JuanesLab, Darienne Lancaster, Sofie Van Parijs, and Danna Haggarty
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We provide an open-source implementation of the CNN detector that includes detailed documentation and a tutorial. Check it out: https://t.co/g3pdluPuRo
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Our findings: 1. The CNN performed up to 1.9 times better than Random Forest 2. In some cases, the CNN was able to find more faint fish sounds than the human analyst 3. The CNN performed well in environments it was not trained in 4. CNN detection errors are predictable
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We implemented and compared 2 different approaches to automatically detect fish sounds in passive acoustic recordings. One is based on Random Forest which is a more traditional machine learning approach. The other one is using CNN which is a more modern deep learning approach.
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Mouy X, Archer SK, Dosso S, Dudas S, English P, Foord C, Halliday W, Juanes F, Lancaster D, Van Parijs S and Haggarty D (2024). Automatic detection of unidentified fish sounds: a comparison of traditional machine learning with deep learning. Front. Remote Sens. 5:1439995.
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I am excited to share our new paper on the automatic detection of fish sounds: https://t.co/18WGznRF8k Automatic detection of unidentified fish sounds: a comparison of traditional machine learning with deep learning #fishsounds 🐠🐟🔊 🧵1/5
frontiersin.org
Many species of fishes around the world are soniferous. The types of sounds fishes produce vary among species and regions but consist typically of low-freque...
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Passive Acoustic Monitoring.... for the human body. Another cool episode from #TwentyThousandHertz #DallasTaylor
https://t.co/agogY8hv8q
open.spotify.com
Twenty Thousand Hertz · Episode
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🥳Thank you! Our project about sub-adult male northern elephant seals🦭 got the third place (🥉) in the video category [Community choice awards]. Selection based on 1) Conservation impact, 2) Novel innovation/discovery, and 3) Strong storytelling of the work and the sector.
In the video category, we honor @arribada_i's thermal camera traps that detect arboreal species' nocturnal activity, @RobinSandfort's AI + segmentation on wild boar piglet videos, and @FrouinMouy's HD video + acoustic imaging sonar and recording to study elephant seals.
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Our #Tech4Wildlife project in BC uses a combination of high-definition video, acoustic imaging sonar, and acoustic recorder from a deep-sea cabled video-observatory to unravel the resting and foraging strategies at depth of sub-adult northern elephant seals 🦭🐟💤 @WILDLABSNET
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