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Acoustic 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.

discussion

AudioMoths in Arctic conditions?

Hi all,I'm working on a project looking at seabird bioacoustics in Svalbard this August. We're hoping to capture diel activity patterns in Atlantic puffins, Little auks, and Black...

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Hi Barbara. 

If you are able to power the Audiomoth externally from a lithium-ion source, the lithium-ion batteries can be used down to -20 deg C. They can't be charged below 0 deg C though so if you were thinking of a solar charging setup as well, then you'd need to look at the temperature range you're planning to use them in. 

In regards to the battery life for continuous recording, I found this information from here:
 

The recording lifespan of the AudioMoth on one set of batteries has previously been measured only for a subset of the possible configuration settings. Hill et al. reported the battery life of the AudioMoth using 3000 mAh lithium batteries for some common configurations [15], reporting that an AudioMoth could record for 115 days recording at 8 kHz, the lowest sample rate, for 30 s every 5 min. The developers also reported the AudioMoth lasted 9 days recording nonstop at a 48 kHz sample rate. While the AudioMoth configuration app provides estimates of battery life for any chosen configuration settings, these estimates have not to our knowledge been validated empirically.

Even derating the battery life by a factor of 2 due to cold temperature conditions would seem to get you over the finish line. One experiment you can try is to record continuously in a refrigerator and look at the recording duration. Typical refrigerators are around 2 deg C which could approximate conditions you mentioned. 

If you will be using stock Audiomoths with no modification for rechargeable batteries, then I'd recommend using Energizer Lithium AA batteries which have some of the highest battery capacities for disposable batteries. Those are airplane safe if they go in your carry-on luggage. 

Hope that helps.

Akiba

 

Hi Maxi, thanks so much for this! That's really helpful to know. We were planning on using just a basic plastic windshield. Do you have any advice for what has worked for you against wind? Could I ask also, how long did your AudioMoths last on just regular alkaline batteries? 

Hi Akiba,

Thanks for this - that's very helpful! We're looking to borrow quite a few of our AudioMoths, so they wouldn't be modified or modifiable by us in any way. I will definitely try your idea to record in a fridge! Probably will have to be lithium AAs - thanks for the Energizer recommendation.

 

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discussion

Audiomoth Energy consuption estimates

Hi All,I'm conducting a biodiversity survey that includes a grid of audiomoths. I have 53 deployed, with the following schedule: 15 seconds every minute, 4:00-12:00, and 16:00-24:...

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We had this same issue, and found that the firmware version 1.9.2 was our issue. We bumped it back to 1.9.0 and our energy consumption was back to normal. 

We record data for 7 hours a day (3.5 hour blocks), using sandisk extreme 64GB micro SD cards. We don’t use re-chargeable batteries, and the ARUs are set for 14-day periods before being collected. With the 1.9.2 firmware, for some reason they’d only record for maybe 9 days tops before dying. At firmware 1.9.0, we were back to our normal recording of minimum 14 days (although they often last longer). We tried different batteries, different energy saving settings, nothing worked besides bumping the firmware down. This issue was in both our brand new AudioMoths and 2-year old AudioMoths. 
 

I hope this helps. 
 

Hi Tabitha, What recording settings were you using when you saw these differences? I've measured the consumption across some different firmware versions and I can't see any difference. Were these AudioMoth 1.2.0 devices? Alex

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discussion

Microphone for bird monitoring on Raspberry Pi

Hi, I am building a system to monitor birds (i.e. ~50-20k Hz) using a Raspberry Pi and I am looking for the best option for the microphone. I am considering: - a USB...

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apologies - ignore this reply (or if someone can delete it please do!) I have forum blindness and thought this thread was also about using Birdnet but I realise it isn't.... I suspect this is a setting on Birdnet-Pi so will post on their forums... 

Hi Paul, have been trying to get a i2c mic working with Birdnet but am having challenges in getting it working. I can install the adafruit mems you mention above and getting it working directly but when I try to use it through Birdnet I am failing. Have done some rebooting, testing, search forums but am drawing a blank - did yours work "out the box"? 

Hi Julien,

I use this mic for my raspberry pi setup and it works well picking up bird species singing in our garden while the mic and raspberry sit under our roof tiles.

Greetings,

Robin

Hi — I came across this thread and wanted to chime in on the microphone selection question, as it touches on some tricky hardware trade-offs.

For bird monitoring in the 50-20kHz range, the MEMS route is actually more accessible than it might seem. The ICS-43432 from InvenSense is a solid choice — it's an I2S MEMS microphone, so it connects directly to the Raspberry Pi's I2S interface without needing a sound card at all, and it has good sensitivity and low self-noise in the relevant frequency range. No plugin power needed, no USB complexity. A simple breakout board (SparkFun or Adafruit have them) and a few lines of configuration and you're up.

If you want to avoid I2S configuration entirely and still keep costs reasonable, the ICS-40720 you mentioned is also excellent and can be used with a simple circuit — a basic op-amp buffer stage is straightforward to build and eliminates the need for a sound card entirely. I can sketch out a basic circuit if that would help.

The Audiomoth uses the SPM0408LE5H-TB partly because of its very low noise floor, but for a Pi-based system the ICS-43432 gets you most of the way there with much simpler integration.

What's your target deployment environment — indoor, outdoor fixed, or field portable? That affects the enclosure and weatherproofing approach more than the microphone choice itself.

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discussion

HELP! USB device code, not recognised by Android

Anyone on here good with USB device code - descriptors etc? I have this C++ / C (linked) which started life as an ARM mbed example for Raspberry Pi Pico. It's the firmware...

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I used your uf2 file to flash up a Pico (one I built, not the commercial one) and shoved a signal genny on GP28. It shows up in BatGizmo and correctly identifies and heterodynes the signal I put into it.

Does that help? If not, let me know, I do USB all the time. I'm developing a bat mic for a STM32 (just because I can).

Pengy

Hi — I came across this thread just joining the community. I'm an electronics and embedded systems engineer with 30 years of firmware and hardware design experience, mostly on STM32 and similar ARM Cortex-M targets.

The UAC2/Android issue is a known pain point. Android's UAC2 support has been inconsistent across vendors and API levels — it was only partially addressed in Android 5.0 and many OEMs never fully implemented it. Phil is right that if TinyUSB only exposes UAC2 descriptors, most Android devices will simply ignore the device.

A possible path forward without abandoning TinyUSB: some versions of TinyUSB do allow building a composite device or overriding the audio class descriptor manually. If you can post the relevant section of your usb_descriptors.c (specifically the audio function descriptor and the bcdADC field), I can take a look and see if there's a way to force UAC1 compatibility at the descriptor level without breaking the existing hosts.

Alternatively — and this might be the simpler path — have you considered a small STM32F0 or STM32G0 as the USB bridge? They have mature HAL USB audio support with UAC1 out of the box, cost under £1 in volume, and would leave your Pico firmware untouched.

Happy to help either way.

Love this advice down to the chip level 😀

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discussion

Safe and Sound project report: Is Camtrap DP a suitable standard for (bio)acoustic data?

Dear WILDLABS community,We are pleased to share with you the publication of the Safe and Sound project report: Is Camtrap DP a suitable...

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Your report on extending Camtrap DP to bioacoustics resonated with something we are just beginning to explore in Mindoro Island, Philippines.

We have ongoing camera trap deployments in interior forest habitats and are beginning to examine the acoustic layer embedded in those recordings, particularly for nocturnal species such as the Mindoro Boobook. The discussion around terminology and how datasets are structured feels especially relevant, though I am still trying to understand how frameworks like Camtrap DP would apply in practice to this kind of data.

It is encouraging to see this direction being shaped at the community level. I will be following this closely as we continue to learn and figure out how our own datasets might eventually align.

Thanks for this!  I've shared this post with the WildTrax (https://wildtrax.ca/) team and CanAvian (https://canavian.ca/) to investigate. We're exploring data standards as part of a recent initiative so this will be very helpful! @jeffcullis 

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discussion

List of bioacoustics software

Edit: Since posting this over 4 years ago, we've moved it to its own GitHub repository and associated website. If you have any suggestions for software...

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Hi Tessa, thanks so much for the update!!! I love that there is an interactive website now. This is such a valuable website, I'm happy to see the updates ;) - Liz

Actually, on the subject of acoustics, the Raspberry Pi based sound localization system I developed has been running continuously since 2023 writing to a 256GB SD card :-)
 

https://github.com/hcfman/sbts-aru

I submitted it for addition to that list a few years ago. Should be there also I guess.

I have three of these running around my house. Off power though because I can. Actually I use one of them as a time server for all my computer equipment because it maintains microsecond time accuracy continuously.

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discussion

🐸 WILDLABS Awards 2025: Open-Source Solutions for Amphibian Monitoring: Adapting Autonomous Recording Devices (ARDs) and AI-Based Detection in Patagonia

We’re excited to launch our WILDLABS-funded project to adapt open-source recording hardware and AI tools to help monitor amphibians, with an initial focus on one of South America'...

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🌿 Project Update — November 2025
Sharing our experience at the Symposium on Physics Applied to Ecology and Conservation (Foz do Iguaçu, Brazil).

We’d like to thank Carlos Araujo for kindly inviting us to take part in the Symposium on Physics Applied to Ecology and Conservation, held on November 6–7, 2025, at the PTI Campus – Universidade Federal da Integração Latino-Americana (UNILA) in Foz do Iguaçu, Brazil.

The event aimed to build bridges between researchers from different disciplines and countries, exploring how physics can support acoustic monitoring, ecological data collection, and biodiversity conservation.

🎙️ We joined Roundtable 3 — Hardware, Sensors, and Audio Recording, where we discussed:

Open-source autonomous recorders for biodiversity monitoring.

Energy-efficient design and sensor integration.

Alternative battery types and power solutions (particularly relevant to our developments)


🎥 Watch the roundtable recording here.


It was also a great opportunity to share our experience and highlight the WildLabs community, connecting with colleagues working at the intersection of physics, ecology, and technology.

 

 


 

 

Hi everyone!

Following up on our project development, we have just published the full report on our work integrating environmental monitoring into AudioMoth devices and the resulting BirdNET workflows for Patagonian amphibians. You can find the complete documentation and results here.

Beyond the technical implementation, we’ve documented the custom firmware, the AI training pipeline for our species, and the practical challenges we faced during field deployments:

Project Video: YouTube Video Link

Firmware: AudioMoth I2C Firmware Repository (GitLab)

AI Workflow: BirdNET-based Workflow for Amphibians (GitHub)

Edge Models: TinyFrog Repository (GitHub)

PyTorch reimplementation: BirdNET-Analyzer (GitHub)

If you are working on similar setups or have questions about the hardware or the workflow, feel free to reach out. I hope this documentation proves useful for your own research.

Thanks for the support and the exchange of ideas during these months!

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careers

Biodiversity Monitoring Scientist

This role would suit someone with a background in ecology or environmental science who enjoys combining fieldwork, data analysis, and applied research to support real-world environmental outcomes.

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discussion

Spectrolipi v2.0.1

Spectrolipi is a tool for visualizing sound, annotating spectrograms, and exporting ML‑ready acoustic datasets.Spectrolipi V2.0.0 is released now. Main new...

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discussion

Microphone Choices for Bird and Amphibian Bioacoustic Research

I am looking for recommendations on the microphones to conduct bird and amphibian bioacoustic research, that I am conducting in South America. My partner organization and I are...

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Or you could use my sbts-aru project. Which is free software that runs on Raspberry Pis. It also allows you to perform sound localization remotely if required, without bringing the SD card back. Last night I had a listen to some calls in the jungle from Lajuma research center in South Africa that was recorded with them. @nlubcker  and I expect to do some localization tests soon from the species down there.



If your Pi is connected to a network you can do localization in near real time (less than 10 minutes manually) as you don't have to stop the recorder or post process the recordings. If you write you own pipeline you can implement real-time sound localization with it and output a URL to a google maps location.



 

My advice for microphones is the em272 microphone capsules based ones, which are very high quality microphones used as by the Swedish company Telinga in their parabolic microphones. That's what I use. They are very low noise and very sensitive. Here's a link to one, likely hard to get at your side of the world though.



 

In my testing they appeared to be similar in performance to some Rode clip microphones and similar in price. They are likely more easily obtained where you are.

Como dijo Carly, Audiomoths y Song Meter Micro, son los que mas te recomiendo. lo unico a tener en cuenta es que para audiomoths vas a tener que comprar o armar alguna especie de cajita protectora. los de Wildlife acoustic, ya viene con protección, solo recomiendo hacer un "techo" con algun plastico. 

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discussion

Project Showcase: "Global Birdsong Radio" - A distributed edge-to-cloud acoustic sensor network using live streams

Hello everyone,I am a hobbyist software developer and nature enthusiast, and while I don’t have a background in ornithology or academic biology, I wanted to share an open-source...

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This is really impressive Avi! Would you mind sharing what kind of hardware the local ingestion + detection is running on? 

It's a fun experiment to think if this could be expanded to any live stream happening on any platform (Instagram, TikTok)

Avi

Hi Luke, 

The local hardware is just a laptop and a few SIM routers.

I guess the heart of it is the user experience, where the users can navigate their own choice of nature real time stream mosaic.

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