Acoustic sensors enable efficient and non-invasive monitoring of a wide range of species, including many that are difficult to monitor in other ways. Although they were initially limited in application scope largely due to cost and hardware constraints, the development of low-cost, open-source models like the Audiomoth in recent years has increased access immensely and opened up new avenues of research. For example, some teams are using them to identify illicit human activities through the detection of associated sounds, like gunshots, vehicles, or chainsaws (e.g. OpenEars).
With this relatively novel dimension of wildlife monitoring rapidly advancing in both marine and terrestrial systems, it is crucial that we identify and share information about the utility and constraints of these sensors to inform efforts. A recent study identified advancements in hardware and machine learning applications, as well as early development of acoustic biodiversity indicators, as factors facilitating progress in the field. In terms of limitations, the authors highlight insufficient reference sound libraries, a lack of open-source audio processing tools, and a need for standardization of survey and analysis protocols. They also stress the importance of collaboration in moving forward, which is precisely what this group will aim to facilitate.
If you're new to acoustic monitoring and want to get up to speed on the basics, check out these beginner's resources and conversations from across the WILDLABS platform:
Three Resources for Beginners:
- Listening to Nature: The Emerging Field of Bioacoustics, Adam Welz
- Ecoacoustics and Biodiversity Monitoring, RSEC Journal
- Monitoring Ecosystems through Sound: The Present and Future of Passive Acoustics, Ella Browning and Rory Gibb
Three Forum Threads for Beginners:
- AudioMoth user guide | Tessa Rhinehart
- Audiomoth and Natterjack Monitoring (UK) | Stuart Newson
- Help with analysing bat recordings from Audiomoth | Carlos Abrahams
Three Tutorials for Beginners:
- "How do I perform automated recordings of bird assemblages?" | Carlos Abrahams, Tech Tutors
- "How do I scale up acoustic surveys with Audiomoths and automated processing?" | Tessa Rhinehart, Tech Tutors
- Acoustic Monitoring | David Watson, Ruby Lee, Andy Hill, and Dimitri Ponirakis, Virtual Meetups
Want to know more about acoustic monitoring and learn from experts in the WILDLABS community? Jump into the discussion in our Acoustic Monitoring group!
Header image: Carly Batist
- @carlybatist
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ecoacoustics, biodiversity monitoring, nature tech



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HaMaarag
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I am an Argentine biologist and a doctoral fellow at CONICET and APN, researching the conservation of Darwin’s frog. I have worked on biodiversity projects in Patagonia and Antarctica with frogs and marine mammals. Beyond my academic work, I am passionate about nature photography
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Running a small electronic engineering company focused on large scale sensor networks. We have interest in bioacoustics with bat and bird recorders, as well as a host of environmental sensors.


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Conservationist working with the High Conservation Value Network (HCVN) and focusing on accessible tools to monitor HCVs.
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I am a scientist in charge of animal AI identification at the Tangjiahe Nature Reserve in Sichuan. My main job is to use AI to identify giant pandas and infer where they will appear in the future and conduct biological analysis of feces. I would like to join this community to com

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Instituto Humboldt & Red Ecoacústica Colombiana
Scientist and engineer developing smart tools for ecology and biodiversity conservation.



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HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
13 May 2025
The Biological Recording Company's ecoTECH YouTube playlist has a focus on webinars about Bioacoustic monitoring.
29 April 2025
This paper includes, in its supplementary materials, a helpful table comparing several acoustic recorders used in terrestrial environments, along with associated audio and metadata information.
15 April 2025
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
1 April 2025
PhD position available at the University of Konstanz in the Active Sensing Collective Group!
28 March 2025
InsectSet459 - the first large-scale open dataset of insect sounds, featuring 26,399 audio clips from 459 species of Orthoptera and Cicadidae.
24 March 2025
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring
24 March 2025
Postdoctoral opening in the Bioacoustics and Behavioral Ecology Lab at Syracuse University
14 March 2025
Funding
Species identification from audio, focused on birds, amphibians, mammals and insects from the Middle Magdalena Valley of Colombia.
12 March 2025
Building species-specific habitat models for forest bird species using state of the art methods and remote sensing layers
28 February 2025
Osa Conservation is launching our inaugural cohort of the ‘Susan Wojcicki Research Fellowship’ for 2025, worth up to $15,000 per awardee (award value dependent on project length and number of awards given each year)....
10 February 2025
workshop introduced participants to the power of bioinformatics and next-generation sequencing (NGS) in conservation biology.
10 February 2025
June 2025
July 2025
September 2025
event
October 2025
November 2025
event
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event
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61 Products
Description | Activity | Replies | Groups | Updated |
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Hi Mona. Yes, this is what we certainly what we are considering, but how to measure these indices by the hands of non-experts in the field is the advice that I need from the WL... |
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Acoustics | 1 day 7 hours ago | |
Would that be able to process locally stored acoustic data? One of the great things about birdnet analyzer is that it is local - it doesn't require uploading terabytes... |
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Acoustics | 3 days 22 hours ago | |
Do you collect or use sound recordings of habitats or species like birds, frogs, mammals, or insects in India? We need your expertise!... |
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Acoustics | 1 week 2 days ago | |
My name is Frank Short and I am a PhD Candidate at Boston University in Biological Anthropology. I am currently doing fieldwork in Indonesia using machine-learning powered passive... |
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Acoustics, AI for Conservation, Animal Movement, Data management and processing tools, Early Career, Emerging Tech, Ethics of Conservation Tech, Protected Area Management Tools, Software Development | 2 weeks ago | |
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Latin America Community, Acoustics, AI for Conservation, Camera Traps, Drones, Early Career | 2 weeks 6 days ago | ||
There are a lot of parameters in principle here. The size of the battery. How much time in the field is acceptable before a visit? Once a week? Once a month? How many devices you... |
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Acoustics | 3 weeks 1 day ago | |
Hi Tom! I think the furry windjammer must be outside the casing to have the desired effect. It can be a bit tricky having this nice furry material that birds and other critters... |
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Acoustics | 3 weeks 3 days ago | |
Hi Lana,"similar field setup" means that the vocalizing animal should be surrounded by the recorders and you should have at least 4 audiomoths recording the same sound, then the... |
+9
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Acoustics | 3 weeks 3 days ago | |
Fantastic! Can't wait to hear updates. |
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Acoustics | 4 weeks 1 day ago | |
New stable release : v1.5.1We are pleased to announce the latest release with several important enhancement, fixes and documentation improvements to ensure compatibility with the... |
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Acoustics, AI for Conservation, Open Source Solutions, Software Development | 1 month 1 week ago | |
Hello everyone,Thank you all for your contribution!You can read some updates about this project in this post.Julia |
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Acoustics, Community Base, Data management and processing tools, Open Source Solutions | 1 month 2 weeks ago | |
Hi Ryan, hmm, I had no idea there was a microphone named that. I thought about how it’s used to lure birds for netting, and I like Greek Mythology. I thought it was a perfect fit... |
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Acoustics, Emerging Tech, Funding and Finance, Protected Area Management Tools, Software Development | 1 month 2 weeks ago |
BirdCLEF+ 2025: Resolviendo dudas, compartiendo ideas
18 March 2025 4:21pm
Postdoctoral Researcher Position in Passive Acoustic Monitoring
14 March 2025 1:41pm
Standard Threshold for "Habitat Use" in Avians?
7 March 2025 9:05pm
11 March 2025 2:44pm
Hey Cortney, this is such a good question!
First off - I'd be very careful about interpreting the number of BirdNET detections of a species as a vocalization index for that species. For example, let's say a recorder captures a lot of Species A, which sounds like Species B, but Species B isn't present at that site. You will often find that BirdNET (or any other sound ID model) reports many detections for Species B and Species A, making it seem like both species are present. So, the number of detections of a species at a site isn't necessarily a more reliable indicator of species presence at that site.
One alternative to consider would be to verify species presence at each site and each day, then use the number of days that species was present as a threshold for habitat use. What threshold to use depends on the species - we've used three consecutive days of presence for some songbirds, for instance.
You could also remove dates when the species is expected solely to be migratory. However, this can get tricky... For example, I've observed that Cerulean Warblers that breed at a particular site will arrive there a week or two before migrants pass through at nearby non-breeding migration hotspots.
Doing a day-by-day analysis of presence enables you to more easily check machine learning detections than if you were checking for the number of detections for each species. You can verify the presence of the species at each site and day by listening to the highest-scoring clips for each day for each species.
If you have 18 days of recording * 12 sites and you listen to the top 5 highest-scoring clips per species and day, that's a maximum of 1,000 five-second clips per species. In my experience, reviewing that amount of clips takes me only a few hours using a Jupyter notebook like this one:
bioacoustics-cookbook/tdl-notebook at main · kitzeslab/bioacoustics-cookbook · GitHub
Jupyter Notebooks for interactive review and annotation of audio files - bioacoustics-cookbook/tdl-notebook at main · kitzeslab/bioacoustics-cookbook
12 March 2025 5:43pm
Thank you so much! This is super helpful and I really appreciate the feedback!
BirdCLEF+ 2025
12 March 2025 2:22pm
Sea turtle Bioacoustics Project
17 February 2025 8:16pm
7 March 2025 12:47pm
Hi Sam, I did my master's on hatchling turtle vocalisations and their role in nest emergence behaviours (currently under review for publication). I recorded nest emergence behaviour in-situ using microphones and camera traps. I worked with snapping turtles, but the methods could be quite useful. I would be happy to share my thesis if that would be helpful.
there are a few sea turtle papers that describe hatchling vocalisations but not many experiments testing hypotheses for these vocalisations.
here are some papers that could help you get you started:
Shoot me a message if interested in chatting more :)
7 March 2025 1:32pm
Hello Sam ...great work, would like to see the paper when it comes online. I would like to know about the device....Bests Zahir
10 March 2025 11:24am
That's amazing thanks so much!
Vertual Fence
27 January 2025 6:26am
28 January 2025 12:38am
Hi Doug.
We are located in Melbourne and work with Bush Heritage in large reserve monitoring. Would love to chat and hear more about the issues you are having to see if we can help out with it. Let me know via private message and we can set up a meeting.
Akiba
28 January 2025 8:41am
I will be back in Melbourne Thursday.
I would like to send you the Florer and Forner study done in 2010 to bring you up to speed.
I'm new to this and can't find the attachment key.
Can you send an email address?
Doug
10 March 2025 6:18am
I have now built my fox and cat trap.
I want to triger it by face reconition so not to get possums or goanners.
Can you help ?
Doug Hemingway.
0418 390 701
Introduction to Acoustic Monitoring
5 March 2025 9:05am
Postdoc in bird modelling and remote sensing
28 February 2025 6:57pm
Primer Encuentro de la Comunidad Latinoamericana de WILDLABS // Primeiro Encontro da Comunidade Latino-Americana do WILDLABS
26 February 2025 12:54pm
Has anyone tried Whombat?
19 February 2025 12:03am
24 February 2025 6:05pm
That's very interesting! What did you think about it?
@alexrood , it could be great to contact @mbsantiago for a VH?
24 February 2025 6:26pm
Done! Just sent you both an email @lvgliarose and @mbsantiago :)
25 February 2025 3:57pm
I just started using this software a few days ago and so far it has captured and kept my attention more than other programs such as Raven or Kaleidoscope. I have only been using it to annotate, but I'm really excited about its ability to test machine learning models. I'm currently developing frog call recognizers using BirdNet. I don't yet know of anyone else using a Whombat + BirdNet workflow (and for neither bats nor birds, nonetheless!) but I'd encourage more biologists to try it out.
Bat Identification Tools Comparison
16 May 2023 3:32pm
8 June 2023 1:38pm
Hi Stuart, Thanks for your response, and nice to e-meet someone behind the BTO acoustic pipeline! I have been testing out BTO quite a lot recently, and have started comparing results to Kaleidoscope this month, and have been manually checking classification results against raw audio. Will keep you updated with any findings if of interest.
Is there a minimum frequency recording that needs to be taken when uploading the BTO acoustic pipeline? I'm also interested in small mammals, and suspect that 96 KHz should be fine, rather than 192/384 when recording for bats.
22 June 2023 6:57pm
Another option for you could be Arbimon - it's free and does not require any coding/programming knowledge!
24 February 2025 3:20pm
As someone who is looking for a relatively simple solution for multiple collaborators (all with very little expertise in bats or acoustics) in a large consortium, I am curious as to the results of your comparison. I have been looking at both BTO and Kaleidoscope, though my previous experiences with Kaleidoscope were that it was far from perfect. However, it may be more cost-efficient.
Audiomoth with solar panel in desert for anthropogenic noise and wildlife limitations and configuration
21 January 2025 12:18pm
24 February 2025 4:09am
Hi Tom
Saffron do a retrofit for the Sng Metre Mini and Micros (Versions 1 and 2). We have them doing a 12 month survey in very hot and dry conditions here in Australia. Will not touch them until October 2025, and they are run by a solar power pack.
Retrofitted Solar Power Pack - Saffron Aid
Expand the life of your longitudinal study by increasing the recording time of your Song Meter Micro or Mini. Have your recorder retrofitted to take power from our Solar Pack. Do not fit any batteries into the recorder all power is supplied by the Solar Pack's inbuilt lithium battery. With a 512GB SD card set
24 February 2025 7:05am
Hi Tom!
I have no experience with deployment in extreme heat or solar panels with Audiomoth.
If you go with AudioMoth, I would consider the new injection molded case for the AudioMoth Dev version: https://github.com/OpenAcousticDevices/Application-Notes/blob/master/An_Injection_Moulded_Case_for_AudioMoth_Dev/An_Injection_Moulded_Case_for_AudioMoth_Dev.pdf
This case is prepared for external power which I believe will be hard to fit reliably with the standard case.
Also, it has room for a GNSS/GPS unit which can help mitigate time drift (very useful for long deployments) AND be used to precisely schedule recordings in relation to sunrise and sunset.
Read more about the GPS possibilites here: https://github.com/OpenAcousticDevices/Application-Notes/tree/master/Using_AudioMoth_GPS_Sync_to_Make_Synchronised_Recordings
&
In any case, I would also ask @alex_rogers for direct advice on your plans.
Cheers,
Lars
24 February 2025 11:36am
Highly recommend the Saffron Aid modified Song Meter Mini for a professional deployment.
If you want to go down the audiomoth route it makes sense to look at options for the AudioMoth Dev. @Lars_Holst_Hansen made a great comment on this application above.
On another note, we are about to release a recorder that might be retrofit-able at Smith Robotics. So keep an eye out for that.
Equally, what is the real reason for the solar, as the SD card might be the limiting factor in some deployments. There are a few 4G options on the horizons fairly soon I think!
Small mammal detection
21 February 2025 3:43pm
21 February 2025 10:51pm
BTO definitely has the best classifiers out there at the moment. I know of a few people attempting to improve their small mammal sets, but none are great yet.
What hardware are you using?
23 February 2025 10:25am
Thanks Ryan, we've been trying the BirdNeT and BatDetect2 models using Acoupi on a pi and it seems to work well, considering it's running on a pi... A small mammal model that worked as well would be great for live alerts to rodent incursions on offshore islands, but it sounds like it's not something that's possible at this stage.
23 February 2025 4:15pm
I think its possible. I spoke to Stuart at the BTO a while ago about this. It's just not available as an off the shelf solution yet. If you can get real time outputs on the pi (or even an esp32), it would not be difficult to add the 4G or wifi part to it!
Bats detectors
17 February 2025 9:04pm
Bass/vibration measurements
29 January 2025 4:34am
13 February 2025 12:17pm
@Thomas, @ Harold, thanks a lot for your feedback. Clearly there appears to be no cutting back in costing if quality is to be expected. I was hoping for cheaper solutions, but to record at a professional quality level looks like we have to go in for the more expensive options. Thanks again, best regads, Nik.
13 February 2025 12:19pm
The point was to record vibrations, not air noise, thanks for explaining the technical issues with the HOBO unit we were thinking of, clearly a few minutes of data would not help.
13 February 2025 3:34pm
You can hack a 6-inch underwater speaker onto a recording unit, and swap it from being speaker to a microphone. They are, on paper, the same thing. That frequency range doesn't work will with small piezo surface (itty microphones). If you want to get fancy, you can add the resistors and capacitors to make a band-pass filter, so you don't pick up quite as much thunder and passing vehicles.
This is a fairly standard audio problem that a good audio engineer can assist with.
I've detected low frequency bird wingbeats with some low-power analog wizardry in the past. But you will need dedicated audio engineering time.
List of bioacoustics software
1 July 2020 3:23pm
12 February 2025 4:23am
Hi! There are several nice tools available that have some, but perhaps not all, of the features you're looking for. Most of these are linked to on the current version of the bioacoustics software database here - https://rhine3.github.io/bioacoustics-software/
- PAMGuard is a classic that's more geared towards underwater monitoring. It has plug-ins to do just about anything you can imagine. Unfortunately I'm not aware of any "terrestial" equivalent
- Probably the closest to what you're asking for can be found on cloud-based applications - in particular, WildTrax (which I have used) and Arbimon (which I haven't used)
- There are some applications you can run on your own computer/server - one example is SoundScapeExplorer. The BirdNET GUI also keeps getting better and better
I also want to mention WhomBat as well, which is a nice and very carefully thought-out open-source audio annotation platform.
12 February 2025 4:25am
Hey! Yeah, that looks fantastic, thanks for this contribution. I will add it to the database. Could you please fill out this form to give me some more detailed information about it?
12 February 2025 4:27am
Hey Catherine! This post originally linked to an old version of the database - the new version does include WildTrax. I'm a big fan of it :)
Tropical fieldwork funding! Up to $15,000 -Susan Wojcicki Fellowship
10 February 2025 7:01pm
The power of bioinformatics and next-generation sequencing (NGS) in conservation biology.
10 February 2025 1:40pm
AI and Machine Learning in Ornithology
6 February 2025 10:05am
10 February 2025 3:28am
Hello,
I am very interested in possibly contributing a paper for this issue, but I study waterbirds in Texas. Would this be open for review papers or meta-analysis? Or deployment of new tools?
10 February 2025 1:20pm
Thanks for reaching out.
Please send us an email: smithy@kznwildlife.com and david.ehlers.smith@birdlife.org.za and we can have chat. Review and meta-analysis welcome as well as advances that would assist African Ornithology.
Look forward to having a chat,
Yvette
Low-power acoustics systems
27 January 2025 1:44pm
10 February 2025 10:42am
10 February 2025 10:49am
Hi Julia,
Thank you for your reply. Your work on connected acoustic recorders sounds very interesting, and we’d love to learn more about your application and the enhancements to Bugg. We’ll contact you soon to arrange a discussion.
Looking forward to it!
Thank you,
Best regards,
Sebastian
10 February 2025 10:52am
Hi Lucille,
Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.
Thank you.
Best regards,
Sebastian
land mammals on xeno-canto
1 February 2025 3:43pm
4 February 2025 8:56am
Brilliant! We'll look into archiving here. Where we have labelled data with 100's of examples of each call for each species (Peruvian Primates mostly) is that something you are looking to host? or do you prefere a more curated submission?
6 February 2025 10:27pm
7 February 2025 5:18pm
That is splendid news! Thanks Willem-Pier!
AI for Bird and Bat Recognition
7 February 2025 11:57am
7 February 2025 5:06pm
Hi Lorenzo,
I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is really thorough, and the team are very responsive to inquiries. They also have a bioacoustics 'model zoo' that lists relevant models. The Perch model from Google would be good to look into as well.
Some recent papers I've seen that might also be worth checking out -
- Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data
- A good horizon scan paper - The potential for AI to revolutionize conservation: a horizon scan
- Challenges and solutions for ecologists adopting AI
- And perhaps not directly related, but a new framework for deploying edge models onto recorders was just released - acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices
Hope that helps a bit!
acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices
7 February 2025 1:39am
Summer Internships at SDZWA (Conservation Technology Lab)
6 February 2025 3:49am
SDZWA Conservation Tech Summer Fellowship
5 February 2025 9:09pm
Giving different types of labeled data to the community - solutions?
5 February 2025 4:19pm
Webinar: Wildlife Drones’ Dragonfly – Revolutionizing VHF Tracking Technology
3 February 2025 4:31am
Automatic acoustic annotation (Deep Voice) - Looking for new projects and collaboration.
31 January 2025 4:28am
The New Way We Listen to Nature: A Tech Revolution in Conservation and Restoration
30 January 2025 7:44pm
9 March 2025 7:47am
Is that not a statistical question and depending in the classification performance of the SW (Birdnet), which itself may depend on the species and the variability of the call?
I, myself, have no practical experience with Birdnet, but use a commercial product that derives from Birdnet and found in about 1000 days, for example, the following tail statistics (22 x 1), (12 x 2), (6 x 3), (5 x 4) bird detections. In total, 223 different species were classified, with black birds being on top with 149000 detections. Overall, there seems to be a nearly exponential decay of different bird detections, which to me shows a problem with NN-based classifications, as there seems to be no clean separation between 'signal' and 'noise', as one can find in traditional signal processing.
From these statistics (histogram) I would conclude that in the end there is no meaningful threshold, as there is no meaningful 'misclassification floor' that could be used to define a threshold.
Consequently, you may have to consider context, inspect every suspect snippet and let human decide.