Acoustics / Feed

Acoustic monitoring is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment


Needing help from the community: Bioacoustics survey

I'm reaching out because I'm currently conducting a research project titled "UX-Driven Exploration of Unsupervised Deep-Learning in Marine Mammals Bioacoustic Conservation" for my...

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Was great to chat with you Sofia and I would encourage others in the Acoustics community to help provide input for Sofia's study!

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Labelled Terrestrial Acoustic Datasets

Hello all,I'm working with a team to develop an on-animal acoustic monitoring collar. To save power and memory, it will have an on board machine learning detector and classifier...

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Hi Jesse,

It is great to hear about another team working to improve this area of research.

Are you sure that you can get significant energy savings by processing onboard? In my (admittedly limited) experience, that processing has underlying energy costs. Also the sounds you might want to detect can have a massive range of qualities and as @Lars_Holst_Hansen has suggested, you may not even know exactly what it is you will want to have recorded.

I investigated using a smart recorder (µMoth) v a 'dumb' recorder (Lab2 S17e) for my koala project. The µMoth used about 3.5-4 times more juice than the simple S17e which is a big deficit to overcome before you even ask the recorder to do something "smart". Higher power requirements also limit the battery tech that will work efficiently for you. 

After you have your neatly separated recordings, you may still be asking yourself 'what did I miss?'.

I would happily share my labelled data with you if it was from your area of interest. Apologies for not being able to help with your core request. I assume that you have already raided the repository of: 


It is not too useful for terrestrial mammals yet but has some good labelled sounds for birds and soundscapes.

Please tell us more about your project, particularly the hardware side.

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Voice activated recording devices on satellite collars

Hi everyone,I'm cooperating with a project that will be placing satellite collars on Eurasian lynx and their prey species. I have a PhD student starting this year who is...

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Hi Jared,

Looks like you are developing some interesting products.

You are right that solar and satellite is making new things possible, particularly in terms of long deployments and greater logging frequency and quality. However, not all animals live in the daylight or in locations with good, reliable satellite coverage. Many nocturnal or heavy forest cover animals are also smaller, limiting some of the available tech we can use. So novel power systems still have a way to go in this field.

Are acoustic collars something that people want? Well I'm not sure that people realise it yet, but I think they will. Just as acoustic devices are great for spying on humans, they also offer a great way to spy on animals and establish their social interactions, feeding, heart-rate, breathing (thus metabolic-rate) and even their locomotion. (All we need is to train our study animals to remember to charge their hacked smart-phones). As automated systems to decode audio into behaviour improve, audio recording will become highly desirable. It has advantages over video in that it has less need to be aimed, works in the dark and can use less power and storage space.

I am sure Simon can chime in with exact specifications. I do not have it with me now. The centre distance between the attachment holes at each in end is 20mm wich will fit the standard holes in a collar from Vectronics Aerospace. 

Simon posted images of the logger attached to a collar on a spotted Hyeana here:

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ISPA: A New System for Transcribing Animal Sounds

These researchers are introduce the ISPA (Inter-Species Phonetic Alphabet) as a new way to precisely interpret and transcribe animal sounds. By using text to represent sounds, existing human language machine learning models could be used more successfully in field research.


Passionate engineer offering funding and tech solutions pro-bono.

My name is Krasi Georgiev and I run an initiative focused on providing funding and tech solutions for stories with a real-world impact. The main reason is that I am passionate...

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Hi Krasi! Greetings from Brazil!

That's a cool journey you've started! Congratulations. And I felt like theSearchLife resonates with the work I'm involved round here. In a nutshell, I live at the heart of the largest remaining of Atlantic forest in the planet - one of the most biodiverse biomes that exist. The subregion where I live is named after and bathed by the "Rio Sagrado" (Sacred River), a magnificent water body with a very rich cultural significance to the region (it has served as a safe zone for fleeing slaves). Well, the river and the entire bioregion is currently under the threat of a truly devastating railroad project which, to say the least is planned to cut through over 100 water springs! 

In face of that the local community (myself included) has been mobilizing to raise awareness of the issue and hopefully stop this madness (fueled by strong international forces). One of the ways we've been fighting this is through the seeking of the recognition of the sacred river as an entity of legal rights, who can manifest itself in court, against such threats. And to illustrate what this would look like, I've been developing this AI (LLM) powered avatar for the river, which could maybe serve as its human-relatable voice. An existing prototype of such avatar is available here. It has been fine-tuned with over 20 scientific papers on the Sacred River watershed.

And right now myself and other are mobilizing to manifest the conditions/resources to develop a next version of the avatar, which would include remote sensing capacities so the avatar is directly connected to the river and can possibly write full scientific reports on its physical properties (i.e. water quality) and the surrounding biodiversity. In fact, myself and 3 other members of the WildLabs community have just applied to the WildLabs Grant program in order to accomplish that. Hopefully the results are positive.

Finally, it's worth mentioning that our mobilization around providing an expression medium for the river has been multimodal, including the creation of a shortfilm based on theatrical mobilizations we did during a fest dedicated to the river and its surrounding more-than-human communities. You can check that out here:


Let's chat if any of that catches your interest!


Hi Danilo. you seem very passionate about this initiative which is a good start.
It is an interesting coincidence that I am starting another project for the coral reefs in the Philipines which also requires water analytics so I can probably work on both projects at the same time.

Let's that have a call and discuss, will send you a pm with my contact details

There is a tech glitch and I don't get email notifications from here.

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Owl call detection software

I’m curious about AI software for analyzing nocturnal bird calls, particularly for detecting owl species. I currently use Nighthawk for help with processing my ARU audio files,...

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I have a question about Arbimon. I'm working on a project looking for bird use of wet meadow (and associated matrices of habitat). We have two bird lists we've created for BirdNet, a "Master List" of all species (to get an understanding of community data as per input from Indigenous partners) and a "Focal Species List" as per the land managers in put. I will have volunteers doing manual verification + passive listening to attempt to catch false positives and species BirdNet has missed. I recently learned about Arbimon from the Soundscapes to Landscapes project and I'm curious about the audio detector function. Is it detecting spectrograms/sonograms from a provided classifier or does it function similar to BirdNet where we can tell it which species to look for? 

We are currently working on Eurasian Pygmy, Tengmalm's and Tawny owl calls recognition. It's not a trivial task if you want to include different call types (male, female, pair, chicks), that's why we started with only 3 species. If you are interested in these 3 European species, drop me a line. 

Hi Teresa, 

Thanks for your interest in Arbimon! The platform has a couple different analysis tools that range from unsupervised (like audio event detection & clustering, or AED-C) to semi-automated (pattern matching, random forest). We've got lots more info about each in our support docs here

The AED-C is an unsupervised machine learning model, so you aren't providing any labels (though the validation page allows you to assign events or clusters as particular species after the fact). The pattern matching is a cross-correlation template matching function where you provide 1 template (example of the species-specific call you're looking for) and the algorithm looks for matches similar to that template. Random forest is a decision-tree-based machine learning model where you provide training clips (presence & absence clips for a species) which the model uses to learn how to classify that species' call. We have developed a number of CNNs (like BirdNet is) but they have more of a regional focus (e.g., one for Kenya, one for western Sumatra, etc. etc.). Right now we run these on the backend, but we are currently working on a public-facing CNN page that we hope to phase in this year.   

Hope that helps, but feel free to reach out if you have more questions! You're welcome to also email me directly at [email protected] .

All the best,


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Detection and removing of windy events in wild acoustic recordings

Hello to everyone, I have to clean my dataset of recordings concerning an African penguin colony inhabits the South African coast. In particular, since I have recordings with days...

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Hi everyone! 

@baddiwad was one of our fantastic speakers in our June Variety Hour show, so we had the chance to hear about her work in a lot more detail. If you're interested in finding out more about Franscesca's project, catch up here: 

Audacity has a noise filter which one 'trains' on a piece of recorded noise. Perhaps it is worth a shot. Freeware, open source, and with a community of developers and users.

Hi Francesca! 


Did you managed this problem somehow? Can you post the workflow or the solution that worked for you?

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Power managment/Recharging System and Communication System

As we know Power managment/Recharging System and Communication System are chalanges for forest, so any one please suggest the Device and Power source to monitor sound in forest...

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Power usage for microcontrollers with solar is  much more manageable. For Raspberry Pi's and higher it gets expensive and big.

I'm quite impressed by the specs from the Goal Zero Yeti devices. This can have high capacity and be charged with Solar. Not small though. And the price is not in proportion to the Pi's.

So this 200x model for example, would be close to 16 days running the audio recorder. Let's say 10. without solar. Add solar? Depends on the size of the panels I guess. Power usage for mobile networking? Depends on how much you transmit.

Probably some well documented experiments would be really nice for people here. Sounds like something nice for the next set of grants :)

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New paper - An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs in Ranomafana National Park, Madagascar

We demonstrate the power of using passive acoustic monitoring & machine learning to survey species, using ruffed lemurs in southeastern Madagascar as an example.

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What an awesome paper! Loved learning about such a promising research tool in PAM combined with a CNNs, and that lemur vocalizations are termed as "roar-shrieks" :)
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Questionnaire for Pain Points and Needs in Bioacoustics

Hi! We're engineers eager to understand how technology can simplify acoustic work. If you use recorders, your input would be invaluable. Please consider taking our 5min survey. As a thank you, participants will be entered into a draw for a Audio Moth Recorder! Thank you so much!!


Monitoring setup  in the forest based on the wifi with 2.4 GHz frequency.

I am planning to setup the network using the wireless with frequency 2.4GHz. Can I get the the data for this signal distortion in the forest area?Is there any any special...

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Hi Dilip,

I do not have data about signal distortion in a forest area and with the signal you are intended to use.

However, in a savannah environment, when I put a tour on the highest point of the park, Lora signal (avg 900MHz) is less distorted than WiFi signal (2.4GHz). This is normal as a physics law: the frequency determines the wave length, and the less the length (obviously the less the frequency), the less obstructed the signal.

So, without interfering with your design, I would say that in a forest configuration, WiFi will need more access points deployed and may be more costly, and in your context, even when using LoRa, you will need more gateways than I have in a savannah.

To design the approximate number of gateways, you may need to use terrain Visibility analysis.

To design the cameras deployment, you will need to comply with the sampling methods defined in your research. However, if it is on for surveillance reasons, you may need to rely on terrain visibility analysis also.

Best regards.

I've got quite a lot of experience with wireless in forested areas and over long(ish) ranges.

Using a wifi mesh is totally possible, and it will work.  You will likely not get great range between units.  You will likely need to have your mesh be fairly adaptable as conditions change.

Wireless and forests interact in somewhat unpredictable ways it turns out.  Generally, wireless is attenuated by water in the line-of-sight between stations.  From the Wifi perspective, a tree is just a lot of water up in the air.  Denser forest = more water = worse communications. LoRa @ 900Mhz is less prone to this issue than Wifi @ 2.4Ghz and way less prone than Wifi @ 5Ghz.  But LoRa is also fairly low data rate.  Streaming video via LoRa is possible with a lot of work, but video streaming is not at all what LoRa was build to do, and it does it quite poorly at best.

The real issue I see here is to do with power levels.  CCTV, audio streaming, etc are high data rate activities.  You may need quite a lot of power to run these systems effectively both for the initial data collection and then for the communications.

If you are planning to run mains power to each of these units, you may be better off running an ethernet cable as well.  Alternatively, you can run "power line" networking, which has remarkably good bandwidth and gets you back down to a single twisted pair for power and communications.

If you are planning to run off batteries and/or solar, you may need a somewhat large power system to support your application?


I would recommend going with Ubiquity 2.4Ghz devices which have performed relatively well in dense foliage of the California Redwood forests. It took a lot of tweaking to find paths through the dense tree cover as mentioned in the previous posts. 


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Audiomoth Bat Call Triggering Settings

We are considering buying audiomoth for recording bat calls for our Citibats Cambodia project[1]. I would like to learn about your experience of using Audiomoth for record bat...

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Nils Bouillard (@Nilsthebatman) would be good to talk with! 

Adrià López-Baucells also has lots of useful info on his website.

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Program Officer - Bioacoustics, WILDLABS

Come join our team! We're looking for a Program Officer to join the WILDLABS Community, hosted by WCS in Argentina. This role will support our research program, with the chosen candidate leading our horizon scanning...

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Recycled & DIY Remote Monitoring Buoy

Hello everybody, My name is Brett Smith, and I wanted share an open source remote monitoring buoy we have been working on in Seychelles as part of our company named "...

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Hello fellow Brett. Cool project. You mentioned a waterseal testing process. Is there documentation on that?

I dont have anything written up but I can tell what parts we used and how we tested.

Its pretty straightforward, we used this M10 Enclosure Vent from Blue Robotics:


Along with this nipple adapter:

Then you can use any cheap hand held break pump to connect to your enclosure. You can pump a small vacuum in and make sure the pressure holds.

Here's a tutorial video from blue robotics:


Let me know if you have any questions or if I can help out.

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Looking for a Supervisor/Research Group - ML-driven Marine Biomonitoring

Hi everyone, I am a final year MEng Computing student at Imperial College London interested in improving marine biodiversity monitoring with machine learning.I have...

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Hi Filippo, 

Nice to read your message. Have you thought of contacting anyone in the Bioscience department at UCL? In our group "the People and Nature Lab", a few PhD students (Ben and Jason) are working on ML methods for coral reef monitoring. Might be interesting to reach out to them. List of People at CBER.

Best, Aude


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Bird Acoustic Surveys: Comparison with traditional transect methods

Baker Consultants Releases Whitepaper Comparing Traditional & Ecoacoustic Bird Survey MethodsBaker Consultants is pleased to announce the release of its latest ecoacoustics...

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Hi Theresa.  In comparison to traditional survey, I think that the time/cost benefits of acoustics are good.  Certainly the set-up, maintenance, and data management requirements are minimal. And if there is significant travel time to site, and the recording period of acoustic survey is long, then I think the benefits are compounded (i.e. there are economies of scale to acoustics that you don't get with trad surveys).

Until the last year or two, the data analysis for species identification has been the time-consuming part.  However, now that systems such as BirdNET are available, this issue is fairly well dealt with (but still needs a little bit of skill/experience).

A couple of scientific papers have assessed these costs/benefits - I hope these make an interesting read.



A very nice read, especially for me someone new to the field as myself. Nice to see all of the various approaches and to know I wasn't re-inventing the wheel but adding something new (Potential new platform for real time localization).

Looks like my timing wasn't ideal to be included in your summary. Maybe for version #2 :)


Thanks for sharing!

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Practical sound localization on the Raspberry Pi

I finally got around to writing a high level article about how to sound localize with the sbts-aru such that first time users might actually be able to do it by themselves now.I...

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