A rough, pixelated outline of a bird is shown in white in the top of the image. A red replica of this image is shown in a spectrogram in the lower half of the image. A smaller picture-in-picture display in the bottom right of the image shows a man sitting in a studio.

AVIF: The Avian Image Format

Humans have long admired the sound of birdsong, but to fully appreciate how technically amazing it is, you need an ultrasonic microphone. [Benn Jordan] recently created a video about using these microphones to analyze a collection of bird calls, even training a starling to repeat an image encoded in sound, and has some recommendations for amateurs wanting to get started in computational ornithology.

In the first part of the video, [Benn] set up automated ultrasonic recorders at home, made recordings in Florida and rural Georgia, and visited a starling named “The Mouth,” famous for his ability to mimic human sounds. As a demonstration of his abilities, [Benn] drew a simple bird shape in a spectrogram, converted it into sound, and played it for The Mouth several times. Initially, it didn’t seem that the starling would repeat it, but while he was analyzing his recordings later, [Benn] found the characteristic bird shape. The Mouth had been able to repeat it almost pitch-perfectly. It was in this analysis that the ultrasonic microphones showed their worth, since they were able to slow down the birds’ complex vocalizations enough to detect their complex structures without losing audio quality. Continue reading “AVIF: The Avian Image Format”

AudioMoth: The Proverbial Moth On The Wall

Monitoring environmental sounds is perhaps not a common task, but much like with wildlife cameras, we could learn a lot from an always-on device listening in on Mother Nature. The AudioMoth is one of such devices. Although it has been around for a few years, it is notable for being an open platform, with the full Eagle-based hardware design files, BOM and firmware available, as well as NodeJS- and Electron-based utility software.

The AudioMoth is powered by a Silicon Labs EFM32-based MCU (EFM32WG980F256) with a Cortex-M4 core, 256 kB of Flash and 32 kB of SRAM. Using the onboard MEMS microphone it records both audible and ultrasonic frequencies that are written in uncompressed WAV format to the SD card. This makes it capable of capturing the sounds from bats in an area in addition to the calls of birds and other wildlife.

The AudioMoth has also a micro-sized, low-cost version called the μMoth, which shares the same features as the AudioMoth. This project is still in progress, with updates expected later this year.

Although the AudioMoth device can apparently be bought from sites like LabMaker for $74 at this point, it should be noted that the MCU used on the device is listed as ‘NRND’ (not recommended for new designs) by SiLabs, which may complicate building one in a number of years from now. Or at least you’ll have to substitute in a different microcontroller.

Regardless, it does seem like an interesting starting point for wildlife monitoring, whether one simply wants to build a device like this, or to use it as inspiration for one’s own design.