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!
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EcoFirst
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Research scientist developing conservation technology in environmental monitoring and cultural preservation.
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Ramiro is an ecologist whose research interests are in the fields of applied animal ecology and conservation biology. He addresses critical research questions by integrating a combination of field data collection, GIS, remote sensing, and advanced modelling techniques.
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Background in Computer Science, Developing Acoustic AI Tech at Synature
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Interested in automated insect monitoring.
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Hi, Cynthia Gichimu here. I'm a conservationist, and a champion for youths. I believe in environmental sustainability for posterity. I volunteer as a Project Officer with the Friends of Kinangop Plateau, a community-based local action group committed to biodiversity conservation.
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BirdNET on local Windows machine?
18 September 2020 9:44am
9 May 2021 2:49pm
Dear Robin,
So what is your workflow regarding the utilisation of birdnet to analyse sound bird?
All the best,
10 May 2021 8:13am
Dear Antoine,
collect sound data (.wav) with the audiorecorder (audiomoth) of your choice.
Point the script https://github.com/kahst/BirdNET-Lite to the location of
your data storage (MicroSD) attached to the Linux machine, wait one day and see the magic happen ;-)
Greetings,
Robin
Recommendations for a waterproof microphone for bats and birds?
20 April 2021 9:01am
26 April 2021 7:30am
Thank you, Akiba! If we go down the road of constructing the outer casing ourselves, we will consider this advice! Right now we were hoping a bit more for an off the shelf model.
Cheers!
26 April 2021 11:59am
No problem. Good luck with your project :)
Akiba
7 May 2021 2:06pm
I didn't see this post until the digest came out, but if you still need some comments...
I suggest asking this question on one of the sound recordists forums. The people on [email protected] are generally quite knowledgeable on microphones and protecting them...and quite friendly :) Ivano Pelicella (Dodotronics) monitors that forum and will happy to chime in if you have a question on their mics. Or you can email him.
Regarding the Momimic...it uses the Knowles FG23629, but I see what you mean about the lack of much specs. This is their datasheet, if you don't have it - https://www.digikey.com/en/products/detail/knowles/FG-23629-D65/810005
The Momimic seems like a good choice for what you described and it's off the shelf, although I haven't used it personally. Maybe email Ivano for some help.
Good luck! I hope you will be posting your progress and results!
Reducing wind noise in AudioMoth recordings
23 June 2020 2:26am
23 June 2020 2:40am
Hi Daniella,
I don't know specifically about AudioMoth, but people have had very good results reducing or eliminating wind noice on things like GoPros or iPhones, etc. using simple Microphone Windscreen foam. You can buy ones for headsets and the like pretty cheap (10 for $1 for the little ones). You can just cut them up and either tape them in place on the inside of the case or rubber band them on the outside.
Also, if the sounds you are trying to extract are still audible, but hard to pull out of the noise, you might also be able to post-process the wind noise out. Wind tends to be heavy in low frequencies, so depending on what you are looking for you might be able to just filter the lower frequencies out, or use an open source tool like Audacity. But if your signal is buried deep within the noise, these tools might also corrupt your target signal.
Hope this helps.
Drue
29 June 2020 5:55pm
I second what Drue said on both fronts. Using a windscreen for any microphone is really helpful in reducing wind interference. For the Audiomoth's size, you could probably use a lavalier mic windscreen of some sort inside your case. I post-process wind interference out sometimes using bandpass filters in RavenPro (cutting out low frequencies <1kHz usually gets most of it at the site I work at) but this will depend on the frequencies of your target sounds.
28 April 2021 8:39pm
furry "dead cat" covers and blimps work best for cutting down wind noise, and a very good spectral noise repair tool, though it's paid, iZotope RX8. There is a de-wind module, but you can also teach it what to repair. I believe Davinci Resolve and Adobe Audition might also have wind reduction tools, but my go-to is iZotope RX8.
New Papers: Remote Sensing in Ecology and Conservation

22 April 2021 12:00am
Webinar: Mission Possible: Deployment

21 April 2021 12:00am
Webinar: Acoustic Tag Technologies and Applications

20 April 2021 12:00am
BirdCLEF 2021 Kaggle Challenge

19 April 2021 12:00am
Webinar Series
14 April 2021 1:38pm
Organize audio files by frequency
6 February 2021 3:58am
28 February 2021 12:22am
This may not be immediately useful, but I really like this interactive visualisation of bird calls organised by similarity (requires a desktop browser to run the experiment):
https://experiments.withgoogle.com/bird-sounds
They do provide the source code so it may be possible recreate this with your data, but it does seem daunting. One thing to note with these similarity measurements is the pattern or clustering is dependent on the input data. The outcome of this is you may end up with a very different order and pattern with only a sligltyly different set of input data.
18 March 2021 7:00pm
As Carlos mentioned, the R packages would be good if you're just looking for summary stats averaged over the whole 10s of the fiie. You would just read that directory into R and load seewave, tuneR, warbleR (I think monitoR may also have this functionality). Perhaps helpful links -
seewave - http://rug.mnhn.fr/seewave/
tuner - https://rdrr.io/rforge/tuneR/
warbler - https://marce10.github.io/warbleR/
9 April 2021 3:55pm
I'm assuming that by "sort by frequencies" you mean the frequency of the call itself, not the frequency of the audio recording (for example, a call at 1KHz vs a recording at a sample rate of 48KHz). My recommendation would be to use R (seewave/tuneR) to generate mean spectra of the recordings (meanspec function) and you can then use those mean spectra to figure out the peak frequency range and sort by that.
Survey Invite: Open-source acoustic monitoring technology

9 April 2021 12:00am
The 2021 #Tech4Wildlife Photo Challenge: Community Highlights
25 March 2021 12:00am
Take the survey: your needs and priorities for (open-source) acoustic monitoring technology
25 February 2021 12:45pm
22 March 2021 11:29pm
Hey everyone, only 5 DAYS LEFT to take the survey! We’re just short of 100 respondents now, and would be great to get as much coverage as possible! Please consider responding if you haven’t done so already, and spread to your contacts who might be interested.
Responses so far show a clear support for the open-source option for acoustic monitoring technology. Almost 70% would be willing to spend time or resources to learn (or have someone in their team learning) the skills that allow you to customise open-source acoustic devices. More than half thought it would be useful to have a “developer version” of an acoustic device (that you can tinker with, and integrate/connect to other devices).
Please contribute your thoughts to help the acoustic community design the open-source monitoring technology of the future!

24 March 2021 4:13am
Hi everyone, we’ve decided to extend the survey for 3 more weeks, until the 18th of April!
That will be the final date (the online survey tool we use is not free, and we’ve got budget limitations :-)
We’re now over 100 respondents from all continents, but we do have significant gaps (e.g. SE Asia and China, many parts of Africa) which we would love to cover. There is also a slight bias towards terrestrial acoustics (only 18% report working in aquatic habitats), but this might just reflect the number of people working in terrestrial vs aquatic acoustics generally. In any case, would also love to get more respondents from the wet side of life. Please participate and spread to your contacts.
And big thanks to those of you who’ve already participated!!
Advice on a Master's project
4 August 2020 2:07pm
10 March 2021 8:03pm
Yes. The key output for synchronisation is the pulse per second (PPS) output which is synchronised very accurately to UTC. The TX from the GPS module is then useful for reading the time and positions. You generally don't need to be able to send commands to the module as most of the time the default settings are fine.
10 March 2021 8:03pm
Yes. The key output for synchronisation is the pulse per second (PPS) output which is synchronised very accurately to UTC. The TX from the GPS module is then useful for reading the time and positions. You generally don't need to be able to send commands to the module as most of the time the default settings are fine.
18 March 2021 5:26pm
Hi Harry (and all)
Just wanted to share some potentially relevant papers that I've come across, in case you haven't found them already. Coming more from the ecology/conservation focused side of conservation tech, but potentially of use to see what's actually been deployed out there!
Yip, D. A., Knight, E. C., Haave‐Audet, E., Wilson, S. J., Charchuk, C., Scott, C. D., ... & Bayne, E. M. (2020). Sound level measurements from audio recordings provide objective distance estimates for distance sampling wildlife populations. Remote Sensing in Ecology and Conservation, 6(3), 301-315. https://zslpublications.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/rse2.118.
Abadi, S. H., Wacker, D. W., Newton, J. G., & Flett, D. (2019). Acoustic localization of crows in pre-roost aggregations. The Journal of the Acoustical Society of America, 146(6), 4664-4671. https://asa.scitation.org/doi/full/10.1121/1.5138133.
Spillmann, B., van Noordwijk, M. A., Willems, E. P., Mitra Setia, T., Wipfli, U., & van Schaik, C. P. (2015). Validation of an acoustic location system to monitor Bornean orangutan (Pongo pygmaeus wurmbii) long calls. American Journal of Primatology, 77(7), 767-776. https://doi.org/10.1002/ajp.22398.
Kershenbaum, A., Owens, J. L., & Waller, S. (2019). Tracking cryptic animals using acoustic multilateration: A system for long-range wolf detection. The Journal of the Acoustical Society of America, 145(3), 1619-1628. https://doi.org/10.1121/1.5092973.
Stinco, P., Tesei, A., Dreo, R., & Micheli, M. (2021). Detection of envelope modulation and direction of arrival estimation of multiple noise sources with an acoustic vector sensor. The Journal of the Acoustical Society of America, 149(3), 1596-1608. https://doi.org/10.1121/10.0003628.
Rhinehart, T. A., Chronister, L. M., Devlin, T., & Kitzes, J. (2020). Acoustic localization of terrestrial wildlife: Current practices and future opportunities. Ecology and Evolution, 10(13), 6794-6818. https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.6216.
Funding Opportunity: COVID-19 Science Fund

10 March 2021 12:00am
Sound library for small terrestrial mammals
31 January 2021 1:42pm
12 February 2021 6:05pm
Stuart, that is really cool! Are these clips translated into audible frequency range?
12 February 2021 8:26pm
Hi Phil, the playable spectrograms have been translated into the audible frequency range (by playing in 10 x time expansion), becuase the small mammal calls are mainly above our hearing range, but a copy of the original wav files can be downloaded from the web site.
12 February 2021 9:15pm
Ah, perfect. I was wondering why I never hear those calls!
That's really nice work, thanks so much for sharing!
How do I strategically allocate drones for conservation?

8 February 2021 12:00am
Audiomoth and Natterjack Monitoring (UK)
23 December 2020 8:16pm
31 January 2021 2:09pm
Hi Sarah, I'm curently working on the sound identification of native and introduced frogs in the UK. I need another season of recordings, and a lot more recordings of Natterjack's, but my aim is to build these into the BTO Acoustic Pipeline hopefully later this year - alongside bats, small mammals, bush-crickets etc to also identify these automatically when they are recorded as 'by-catch.' https://www.bto.org/pipeline.
31 January 2021 3:26pm
Hi Stuart, What sample rate do you think you could go down to? We're interested in a low-power AudioMoth firmware version for this application. Alex
31 January 2021 4:38pm
Hi Alex, I'm not sure what problems there could be with aliasiing and harmonics using a low sample rate, and may depend I guess on how the recordings are processed later on, but I've enclosed a spectrogram of a typical recording below, and can send you some example recordings if useful. Perhaps to use a sample rate of about 10 kHz.., but it's not something that I think about - I always use an excessive sample rate (24 kHz for anurans).

BTO Acoustic Pipeline - is launched!
31 January 2021 1:37pm
EarthHz tool
29 January 2021 3:39pm
warbleR / R packages for bioacoustics forum
2 December 2020 11:45am
4 December 2020 3:21pm
Hi all!
Just as a general resource, @tessa.rhinehart has a really awesome table of different bioacoustic software and R packages with their varied functionality: https://github.com/rhine3/audiomoth-guide/blob/master/resources/analysis-software.md.
I haven't worked with warbleR directly, but I've played around in monitoR and gibbonR for passive acoustic monitoring analyses.
You might also just reach out to Marcelo (writer of the package) and ask directly...
Happy coding!
Carly
20 December 2020 2:10am
I used the package soundecology in R: URL: http://ljvillanueva.github.io/soundecology/ and https://cran.r-project.org/package=soundecology
This package helps to calculate several acoustic index using .WAV files. Is possible to analyses several files as same time.
Best regards!
17 January 2021 6:44pm
Hi all thanks for the answers!
Carly - thanks, will have to try yours. I did the course at the Organisation of Tropical Studies with Marcelo, which was awesome, but this is not something he's keen on answering, I think he has other ways of doing it. Sorting it out on Github atm. Hope your moving terabytes of data is going well :)
domingos - thank you, I do know about this one, but having a selection table in warbleR opens up to a lot of various other options that can be really useful. Will keep you updated.
Thanks
Axel
Workshop: Analyses of acoustic telemetry data with R

15 January 2021 12:00am
Analyzing sounds of flying insects
17 December 2020 2:08pm
18 December 2020 6:14pm
this guys has been around a long and has some neat stuff http://songsofinsects.com/about
but sure looks like a wide-open area of research ...
4 January 2021 12:26pm
Tom Dally at Leeds University UK is doing work in this area. I dont think he has anything published yet but his preliminary results are interesting (saw them at a workshop).
https://biologicalsciences.leeds.ac.uk/school-of-biology/pgr/753/thomas-dally
Tom
Tech Tutors: How do I use pattern matching analysis to label acoustic data with RFCxArbimon?
17 December 2020 3:31pm
17 December 2020 9:22pm
Thanks everybody for joining today's session! I've attached the article here that describes Pattern Matching in greater detail to respond to some of the questions from today's session.
Also, here is a link to our Privacy Policy and our Terms of Service for the individual who had questions about GDPR. Feel free to contact us at [email protected] with any other questions about the platform or Pattern Matching in general!
23 December 2020 3:21am
Zephyr and Marconi, thanks for the great talk and your hard work that made this platform available to the public!! I'm experimenting with the pattern matching function to create some training data but have issues trying to get the "Jobs'' to run. I only have 18 files for each of these tests, but only 1 processed to 11.1% while two others stay at 0%. The internet connection was briefly interrupted when I created the first job and was fine later on. I can only Hide, not delete or re-run these jobs, so I'm not sure what to do. Any suggestions would be greatly appreciated. Thanks so much!
23 December 2020 3:27pm
Hi @pmnguyen1224 , thanks for reaching out and checking out the system! We would love to help ensure that you're able to get pattern matching to work for you! I do have a few questions for you so we can replicate issue you are experiencing. Would you mind emailing us a couple screenshots and your original message above at [email protected] to get started? Or feel free to send us a chat if that's easier, by clicking on the chat icon on https://arbimon.rfcx.org/. Looking forward to supporting you moving forward!
How do I use pattern matching analysis to label acoustic data with RFCx Arbimon?

8 December 2020 12:00am
FIS Call for Expressions of Interest (closed)

8 December 2020 12:00am
Calling all hydrophone users: Tell us what you want!
26 November 2020 10:52am
6 December 2020 5:50pm
I’ll stick some thoughts here that other folk can maybe comment on/add to.
So there are a few (obvious) differences between terrestrial and marine acoustics.
- Devices are immersed in a highly corrosive and conductive liquid (sea water) with strong underwater currents, fishermen, storms etc.
- Boat’s are usually required to deploy devices - that can mean it is much more expensive to make recordings.
- Ultra high frequency species and noise sources (e.g. harbour porpoise @130kHz and broadband delphinid clicks @ >200kHz and echo sounders @ 200kHz) are relatively common.
For PAM devices that means a few things:
- Longevity is crucial because it can greatly decrease the cost per hour of recordings (less boat time is required). There are a few strategies for maximising this;
- Devices such as FPODs and SoundTraps run onboard detectors. The SoundTrap in particular can run a click detector at high frequency (up to 576khz sample rate) whilst also contiously recording at lower sample rates. This means that it detects high frequency delphinid and porpoise clicks (and saves the waveform for further analysis) and at the same time records all lower frequency sounds where almost all of the complex tonal vocalisations of dolphins, baleen whales and anthropogenic sounds occur; these types of sounds also happen to be more difficult to accurately automatically detect (especially on low powered hardware). This strategy results in an order of magnitude reduction in data without incurring a large cost in data degradation.
- Run on board compression algorithms - the SoundTrap uses an open source X3 compression algorithm that often results in four times lossless data compression.
- Have the space for a lot of batteries and/or the option of an external battery pack.
- Sensitivity is important because you want to maximise your monitored area (again making your survey as efficient as possible). That means choosing a hydrophone, amplifier and DAQ with a low noise floor and appropriate clip level.
- Devices must be robust and waterproof. They should be able to survive biofouling, getting knocked on the seabed and ending up in a fishing net etc. The two common housing designs are to have a completely sealed unit with an underwater connector (often SubConn) for downloading data or having a unit which can be opened to remove memory cards and batteries. Both approaches have their advantages and failure points. For example, devices which are sealed tend to be more simple to set up but the connector is often a failure point. Devices which can be opened are serviceable at sea but they can flood and are air filled which makes them a bigger acoustic target for echolocators (and so can mess up results).
There are also a few ‘nice to have’ options.
- Two sample synchronised hydrophones allowing a bearing to be calculated. This can be useful for a whole host of stuff - for example using bearing tracks to figure out how many animals might be present, improving density estimation methods and allowing an extra data dimension for classification algorithms. It also means the devices are useful for a host of other applications - e.g. towed hydrophone surveys.
- Depth, temperature, tilt and light sensors are inexpensive low power and produce only a few gigabytes (at the very most) of data over a survey but can provide a wealth of oceanographic data that is also helpful in acoustic monitoring.
- If running detectors, then recording noise is critical because it allows us to model changes in the probability of detecting animals which is often important in density estimation.
- Accurate clocks are useful. The SoundTrap clock drifts around 2s per day. Although manageable, this is often a pain and consumes valuable analysis time re-syncing devices together.
- The ability to daisy chain devices so they can be sample synchronised and used in acoustic arrays is very handy. For example SoundTraps have been used to make large aperture hydrophone arrays to localise Kogia. DOI: 10.1016/j.dsr.2020.103233 (if achievable this may supersede point 1. )
Ok, that’s everything I can think of for now. I would be keen to hear other opinions on this, additions, disagreements etc. Jamie
Making the Most of Tech Tutors Season 2!

30 November 2020 12:00am
WILDLABS Tech Tutors: Season Two

24 November 2020 12:00am
Kaggle Competition: Species Audio Detection

24 November 2020 12:00am
Weekly Event: OTN Virtual Study Hall

16 November 2020 12:00am
26 October 2020 3:29pm
Got it running on Linux now.