Raven is now free and the workbench software Cornell has developed looks very promising/ intuitive for what it is.
Next item on my to-do list - learn this stuff!!!

I guess Raven Compass is also usefull for people who just want to do a quick conversion of many files.

https://www.ravensoundsoftware.com/software/raven-workbench/

#freeSoftware #bioacoustics #cornell #sound #PAM

Raven Workbench – Cornell Lab of Ornithology – Cornell University

The observation and analytical study of a captive chimpanzee spontaneously utilizing environmental tools to produce structured, rhythmic instrumental sounds in conjunction with vocal expressions.
#Primatology #EvolutionaryBiology #Ethology #Bioacoustics #sflorg
https://www.sflorg.com/2026/03/ebio03272601.html
Chimpanzees can be multitalented musicians

a 26-year-old male chimpanzee, removed floorboards from a walkway and used them to drum while he let out complex and structured sounds like vocal

New paper from us: "A dataset of insect sounds from 459 species for bioacoustic machine learning", published in Scientific Data, led by Marius Faiß https://doi.org/10.1038/s41597-026-07123-4 #bioacoustics #datasets
"Tiny recording backpacks reveal bats’ surprising hunting strategy" - nice description and videos by Leonie Baier https://theconversation.com/tiny-recording-backpacks-reveal-bats-surprising-hunting-strategy-271996 #bioacoustics
Tiny recording backpacks reveal bats’ surprising hunting strategy

By listening in on their nightly hunts, scientists discovered that small, fringe-lipped bats are unexpectedly able to efficiently take down prey nearly their own size.

The Conversation
Pleased to announce the BioDCASE Challenge 2026 - the Bioacoustics Data Challenge! Now with 6 different tasks to choose from, each an open-data computational challenge of its own: https://biodcase.github.io/challenge2026/ #machinelistening #BioDCASE #bioacoustics #DCASE #sound
BioDCASE Challenge - BioDCASE

Tasks We are excited to announce the 2026 BioDCASE task...

Interested in how to study #AnimalCommunication, especially in #meerkats? Here is a paper for you in #MethodsInEcologyAndEvolution @MethodsEcolEvol

#animal2vec and #MeerKAT: A self-supervised #transformer for rare-event raw audio input and a large-scale reference dataset for #bioacoustics

https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210x.70218

It is realy great that this publication is open access.
Dig into underwater acoustics and up to date research on marine mammals.

https://link.springer.com/book/10.1007/978-3-031-77022-7

#BioAcoustics #ecoacoustics #acoustics #nature #science #marinemammals

Marine Mammal Acoustics in a Noisy Ocean

This open-access book explores the potential impacts of noise on marine mammal species such as whales, dolphins, seals, seacows, and otters.

SpringerLink

Next entry in the great #bioacoustics books.
The descriptions of the experiments and the fundamental theories is what makes this book special to me.
Only complaint I have is that some long and winding sentences to describe acoustic phenomena could have been better described as equations.
Still an absolute must read for anyone interested in the topic.

#books #sound #nature #bookreview

January has been quite busy for me, but the good kind of busy.
I am currently working on an application for a project with colleagues from Hamburg which gives me joy and excitement for my work I haven't had in a long time.
During the weekend I was looking into further resoruces on the topics of #ecoacoustics and #bioacoustics and thought I share this:
https://www.are.na/clemens-pitschke/bio-ecoacoustics-resources
On this note: can someone reccomend a course/ training regarding this fields or something related like landscape ecology?
Bio-/ Ecoacoustics resources | Are.na

Collection of current papers and resources on Bio- and Ecoacoustics

Are.na
"animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics" recently published! http://doi.org/10.1111/2041-210x.70218 #bioacoustics #machinelistening #deeplearning