Ricard Marxer

I’m excited to share that our TABMON project has now a cool website!

TABMON is a new initiative funded by @biodiversa.eu that’s building the first transnational acoustic biodiversity monitoring network in Europe.

👉 See our website and meet the team here: tabmon-eu.nina.no

New paper! Using AI to track the frequency of vocalisations across a (very) wide range of species
www.ricardmarxer.com/f0-bioacoust...
In wolves, dolphins, etc, the up-down of frequency of their calls is where all the information is. Neural nets can do this automatically!
‪

‪@brbbfreitas.bsky.social‬ ‪@frantsjensen.bsky.social‬ @arikkershenbaum.bsky.social‬ @malavika-m.bsky.social‬ @hollyhowls.bsky.social‬

Robert C. Liu, Malavika Madhavan, Andrew Markham, Marie A. Roch, Holly Root-Gutteridge, Martin Šálek, Grace Smith-Vidaurre, Ariana Strandburg-Peshkin, Megan R. Warren, Matthew Wijers

🔗 Project page: www.ricardmarxer.com/f0-bioacoust...
📄 Paper: doi.org/10.1080/0952...

Fantastic work with Paul Best and Marcelo Araya-Salas, Axel G. Ekström, Bárbara Freitas, Frants H. Jensen, Arik Kershenbaum, Adriano R. Lameira, Kenna D. S. Lehmann, Pavel Linhart

We provide:
🔧 A tool with pretrained models to estimate F0 on new data
📊 An annotated dataset of 250k+ vocalisations

Key findings:
✅ Neural network models show strong potential
✅ Supervised models generalise to unseen species
✅ Self-supervised models can perform on par with supervised ones in some cases
✅ As expected, performance correlates with F0 saliency

The diversity of bioacoustic signals—in frequency range, harmonicity, SNR, etc.—makes F0 estimation particularly challenging.

We study how well #MIR F0 estimation transfers to non-human vocalisations, benchmarking SOTA models across 14 taxa:

📢 New paper!

F0 estimation is a classic task in the Music Information Retrieval (#MIR) community. Yet, it's much less studied in bioacoustics—despite its frequent use to describe animal sounds.

Images from doi.org/10.1038/srep... doi.org/10.1098/rspb... doi.org/10.3389/fmar...

Our study on #orcas vocal complexity!

doi.org/10.1016/j.ec...

We analyse #bioacoustics recordings spanning 5 years of wild orcas. DL classification and subsequent complexity measures are contrasted to pod sizes, to approach the social complexity hypothesis in #cetaceans

Good collab Best et al!

Happy to see this work out there. Good job @charlylamothe.bsky.social et al. it was really nice working with you all!

Come and work with us! Be a Postdoctoral Fellow in AI for Ultrasonic Bioacoustic Monitoring! All the details: https://www.naturalis.nl/en/about-us/job-opportunities/postdoctoral-fellow-in-ai-for-ultrasonic-bioacoustic-monitoring #academicjobs #postdoc #PDRA #netherlands #biodiversity #AI […]

Hi! 👋
I am Benjamin and I am a researcher at the Norwegian Institute for Nature Research (NINA).
I work at the intersection of #statistics, #AI methodologies (deep learning really) and #biodiversity monitoring - more specifically #bioacoustics 🦜🔊

Academic Job! Come and work with us as "Assistant Professor, Data Science & AI" tiu.nu/22594 - friendly department, lots of stimulating colleagues, Dutch work-life balance... oh and the #AI & #datascience #research :) #jobs #academicjob #netherlands

Today Santiago Cuervo and I are presenting our study on "Scaling Properties of Speech Language Models" at #EMNLP2024. More details soon. Can't wait? come chat with us at Poster session D.

Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists Recent years have seen a dramatic rise in the use of passive acoustic monitoring (PAM) for biological and ecological applications, and a corresponding increase in the volume of data generated. Howeve...

Check out our latest survey on the use of #machinelearning for #bioacoustics ! We aimed to make it interesting to both biologists and computer scientists.

I had a great time working with this team.

doi.org/10.1111/brv....

So happy to finally be presenting this work with Clementin Boittiaux et al!

SUCRe uses SfM/MVS dense reconstruction to recover colors from underwater images.

🔗 clementinboittiaux.github.io/sucre/

To appear at #3DV2024 in March.

#underwater #deepsea #ai #machinelearning #computervision

Become a 4th wave student of our #ErasmusMundus #MSc in Marine and maritime Intelligent Robotics (MIR)

An international program combining #AI and #Robotics for #Ocean applications 🧠🤖🌊

Applications open tomorrow October 28th 2023

More here: www.master-mir.eu/emjmd-mir-ne...