Ana Gabrielle
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agc-alcantara.bsky.social
Ana Gabrielle
@agc-alcantara.bsky.social
🇵🇭 She/her. Postgraduate Biology student focusing on Philippine bioacoustics of endemic birds
Pinned
Happy to share the first deployment of AudioMoths for a passive acoustic monitoring study at the Las Piñas-Parañaque Wetlands Park, Philippines 🦆🎶

#LEAFA_Program #migratorybirds
Audiomoth retrieval and deployment for Nov 2025 #LEAFAMigratoryBirdProject

One of the straps was apparently chewed on by a shrew and I am now making it my life goal to ID that smol mammal (might borrow camera traps just for this 👀)
October 29, 2025 at 5:52 AM
Reposted by Ana Gabrielle
A score calibration approach involving quantizing embeddings and normalizing detection scores with quantization error was proposed for few-shot KWS with dynamic time warping, improving performance on KWS-DailyTalk.
Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt, Zheng-Hua Tan
arxiv.org
October 20, 2025 at 9:33 AM
Reposted by Ana Gabrielle
Variation in Detection Distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) Vocalizations by Autonomous Recording Units | doi.org/10.1675/063.... | Waterbirds | #ornithology 🪶
Variation in Detection Distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) Vocalizations by Autonomous Recording Units
Autonomous recording units (ARUs) are an emerging technology that allows for passive monitoring of soniferous animals and soundscapes. Over the past decade, ARUs have become a popular tool for monitoring birds for their potential to reduce the labor and costs of traditional in-person sampling procedures. However, uncertainty surrounding factors affecting detection of avian taxa using ARUs can inhibit their monitoring efficacy. Eastern Black Rails (Laterallus jamaicensis jamaicensis) are a secretive marsh bird listed as a federally threatened species in the U.S.A. Eastern Black Rail vocalizations are difficult to detect by field personnel, and numerous in-person surveys can be required to confirm their presence at a site. While ARUs are an alternative for detecting Eastern Black Rails, it is unknown at what maximum distance an ARU can detect their vocalizations. We evaluated factors affecting the detection distance of simulated vocalizations for ARUs in four marsh vegetation types under a range of environmental conditions. Detection distances varied across models, vocalization and vegetation types, and call volume. Kickeedo vocalizations were detected at greater distances, and detection distances increased for all vocalization types in open vegetation. High relative humidity increased detection distances, while louder background noise decreased detection distances. High wind speeds in cordgrass (Spartina spp.) decreased detection probability disproportionately relative to other vegetation types. Based on these results, considerations of survey area, vegetation type, and site condition can allow land managers and researchers to optimize Eastern Black Rail monitoring using ARUs. Given the substantial staff time needed to monitor this species, ARUs may increase the likelihood of detection and provide an efficient alternative to in-person monitoring.
doi.org
October 17, 2025 at 4:26 PM
Reposted by Ana Gabrielle
EARLY VIEW in IBIS

Using acoustic indices to detect interspecific bird interactions and behaviour | onlinelibrary.wiley....

Federica Rossetto, Nicolas Mathevon, Paola Laiolo | #ornithology 🪶
October 17, 2025 at 5:44 AM
Reposted by Ana Gabrielle
Nice piece from @hollyasmith.bsky.social on this from @thecowbirdlab.bsky.social et al. in @natecoevo.nature.com

🐦 Did learned vocal signals evolve from innate?
🐦 Authors study this in 21 avian hosts of brood parasites

www.nature.com/articles/s41...

#prattle 💬
#bioacoustics

1/2
October 15, 2025 at 1:19 PM
Reposted by Ana Gabrielle
Birds as indicators of landscape changes: a lesson from southern Mediterranean semi-arid streams | link.springer.com/ar... | Landscape and Ecological Engineering | #ornithology 🪶
October 15, 2025 at 1:30 PM
Reposted by Ana Gabrielle
Is passive acoustic monitoring worth it for terrestrial mammals? 🎙️🐨

We find it's not the one for all solution, but for vocal species, yes! It's highly effective & saves lots of time and money, especially in the long-term.

Find out more: doi.org/10.1111/2041... 🔈🦊🧪🌎 @methodsinecoevol.bsky.social
Sensors versus surveyors: Comparing passive acoustic monitoring, camera trapping and observer‐based monitoring for terrestrial mammals
Mammals play vital roles in ecological communities, but many are in rapid decline worldwide. Comprehensive monitoring of mammal populations is crucial for effective conservation, but large-scale m...
doi.org
October 14, 2025 at 12:11 AM
Reposted by Ana Gabrielle
Decoding Owl Calls: Refining Occupancy Inference From Passive Acoustic Monitoring | doi.org/10.1002/ece3... | Ecology and Evolution | #ornithology #RaptorResearch 🪶
October 13, 2025 at 6:14 AM
Happy World Migratory Bird Day this Oct 11, 2025!

I offer these photos to the bird community to raise awareness that birds, too, are not always photogenic 😆😆

📍Las Piñas-Parañaque Wetland Park (LPPWP), Philippines
📷 Nikon Coolpix P1100

(Will post my other photos later!)
October 12, 2025 at 4:46 AM
Happy World Migratory Bird Day this Oct 11, 2025!

I offer these photos to the bird community to raise awareness that birds, too, are not always photogenic 😆😆

📍Las Piñas-Parañaque Wetland Park (LPPWP), Philippines
📷 Nikon Coolpix P1100

(Will post my other photos later!)
October 12, 2025 at 4:44 AM
Reposted by Ana Gabrielle
The next Bridging Brains and Bioacoustics seminar is happening in 2 weeks!

Join us to learn all about the neuroscience and ecology of acoustic communication in mice from @cliffscience.bsky.social and @leo-perrier.bsky.social

🗓️ October 23rd @ 10:00 EST
✅ Register here: braincoustics.com
October 9, 2025 at 1:02 PM
Oct deployment check-up. One of my AudioMoths got flooded with water. Even the paper with my contact info got wet 😞 #bioacoustics #LEAFAMigratoryBirdProject #Philippines
October 6, 2025 at 3:06 AM
October 4, 2025 at 4:34 AM
Reposted by Ana Gabrielle
A huge thank you to our speakers for a great seminar yesterday, and to everyone who joined for the discussion!

Recordings of both talks are now up on our website (where you can also already sign up for next month’s seminar on 🐁)

braincoustics.com
September 26, 2025 at 12:14 PM
Reposted by Ana Gabrielle
Bridging Brains and Bioacoustics is back!

Please join us next week for fantastic talks from speakers Rada Mihalcea, Álvaro Vega-Hidalgo, and Tamás Faragó

@barkslab.bsky.social
@radamihalcea.bsky.social

🗓️September 25th 10:00 EST
✅ Register here: braincoustics.com

#bioacoustics
#neuroskyence
September 16, 2025 at 12:54 PM
Reposted by Ana Gabrielle
Vocal learning in wild birds! Today I spoke about our collaborative studies of Savannah Sparrows. Followed by great talks by Alex Kirschel, David Wheatcroft, Julie Elie, and Frédéric Theunissen. An information-rich day in Ste. Etienne. Thank you @nicolasmathevon.bsky.social
September 24, 2025 at 12:29 PM
“Post the most unusual or weird thing you’ve ever recorded”

Sad that I lost the actual recording but I once recorded a birdsong and my companion did manual playback and imitated the call for a few minutes. Turned out the bird was also another person 😅

#SoundDecisionWebinar
@wildlifeacoustics.com
September 18, 2025 at 3:33 PM
Day 0 - Sept. 17, 2025
13th ASTHRDP Graduate Scholars’ Conference
📍Cagayan de Oro, Mindanao, Philippines

- travel and check-in at hotel
September 17, 2025 at 3:25 PM
Reposted by Ana Gabrielle
New Sonic Connexions online meet-up coming up on Sep 24! This one will be on Bioacoustics AI with Liz Ferguson. Register now to join the discussions!! #bioacoustics 🔊🧪

whoi-edu.zoom.us/meeting/regi...
September 13, 2025 at 10:09 PM
Garden sunbird (female and male)
🗓️ Sept. 8, 2025
📍Philippines
📷 Nikon CoolPix P1100

My first time seeing a male eclipse (non-breeding plumage)
September 11, 2025 at 6:04 AM
Reposted by Ana Gabrielle
blogbirder.blogspot.com/2025/09/fiel...
A blog article completed this weekend, detailing my thoughts of best field recordings methods and techniques and when to apply them. This after several years of experimenting in the field, here in Sweden. Hope this is useful to some.
#bioacoustics
Field Recording Techniques; Capturing Bird Vocalizations in the Field
Above; Recording an early morning dawn chorus in coastal woodland. On this occasion, I simply mounted an ORTF array on a stand and left the ...
blogbirder.blogspot.com
September 1, 2025 at 7:29 AM
Reposted by Ana Gabrielle
"Foundation Models for Bioacoustics -- a Comparative Review" https://arxiv.org/abs/2508.01277 - a very good review/benchmarking paper on the latest deep learning models for bioacoustics. Recommended. Covers many of the important aspects of models. #bioacoustics #deeplearning
Foundation Models for Bioacoustics -- a Comparative Review
Automated bioacoustic analysis is essential for biodiversity monitoring and conservation, requiring advanced deep learning models that can adapt to diverse bioacoustic tasks. This article presents a comprehensive review of large-scale pretrained bioacoustic foundation models and systematically investigates their transferability across multiple bioacoustic classification tasks. We overview bioacoustic representation learning including major pretraining data sources and benchmarks. On this basis, we review bioacoustic foundation models by thoroughly analysing design decisions such as model architecture, pretraining scheme, and training paradigm. Additionally, we evaluate selected foundation models on classification tasks from the BEANS and BirdSet benchmarks, comparing the generalisability of learned representations under both linear and attentive probing strategies. Our comprehensive experimental analysis reveals that BirdMAE, trained on large-scale bird song data with a self-supervised objective, achieves the best performance on the BirdSet benchmark. On BEANS, BEATs$_{NLM}$, the extracted encoder of the NatureLM-audio large audio model, is slightly better. Both transformer-based models require attentive probing to extract the full performance of their representations. ConvNext$_{BS}$ and Perch models trained with supervision on large-scale bird song data remain competitive for passive acoustic monitoring classification tasks of BirdSet in linear probing settings. Training a new linear classifier has clear advantages over evaluating these models without further training. While on BEANS, the baseline model BEATs trained with self-supervision on AudioSet outperforms bird-specific models when evaluated with attentive probing. These findings provide valuable guidance for practitioners selecting appropriate models to adapt them to new bioacoustic classification tasks via probing.
arxiv.org
August 27, 2025 at 8:12 AM
Reposted by Ana Gabrielle
This book is an introductory text on the theory of nonlinear acoustics authored by experts on their respective topics.
And it is open access, which means that you have free and unlimited access!

link.springer.com/book/10.1007...
August 16, 2025 at 7:25 AM
Reposted by Ana Gabrielle
Perch 2.0: Bioacoustics Model for Species Identification
#Bioacoustics #acoustics

hackernoon.com/perch-20-bio...
Perch 2.0: Bioacoustics Model for Species Identification | HackerNoon
The intersection of artificial intelligence and environmental conservation is rapidly expanding.
hackernoon.com
August 18, 2025 at 6:01 AM
Time to read one of the most famous books in avian bioacoustics 🦜🎶📚
August 12, 2025 at 5:00 AM