Have you ever thought of using sound to navigate through the landscape? A team of scientists convert sound into a spectrum of coded colour bands to decipher hidden clues about the environment. Their work is making waves in ecology circles, with the identification of species so cryptic, trained specialists can’t spot them in the field.
In the paper “Long duration false colour spectrograms detecting species in large audio data sets” (Journal of Ecoacoustics) led by Dr Michael Towsey at the Queensland University of Technology, long duration sound recordings are visually represented in a false colour spectrogram (LDFC). By applying a set of mathematical formulae, sound waves are converted into their visual counterpart called spectral indices. Several spectral indices (symbolised by a three letter code) are calculated and represent different concentrations of acoustic energy recorded in the study area.
Depending on the aims of the research, the spectrogram produced reflects different combinations of these spectral (acoustic) indices that are assigned to the red, blue or green channels of colour (RGB) – a process inspired by false colour satellite imagery techniques used to produce pictures captured of the Earth’s surface from space. “The eyes have got the capacity to absorb huge amounts of information very quickly, so it can scan an image much faster than the ear can scan a recording” says Towsey.
The final spectrogram is a colourful account of the soundscape or environment. The calls of wild organisms, for example, frogs, insects and birds, are a distinctive contrast to the background environmental sound and referred to as soundmarks or acoustic signatures. They are used like landmarks by the research team to ‘navigate’ through the study environment to find answers to specific ecological questions.
The LDFC technique was vital to assisting the researchers scope out clues for the whereabouts of the Lewin’s Rail in Tasman Island, Tasmania, a shy bird species normally hidden from ‘view’ in its wetland habitat and usually only identifiable by its vocalisations. The spectrogram reduced the need for the manual analysis of hundreds of hours of sound and enabled quick identification of the bird species. It also saved the research team the alternative cost of hiring extra crew to visually monitor the site on the ground.
Elizabeth Znidersic, an ecologist at Charles Sturt University, uses the less invasive method of passive sound recording to study wildlife in Tasmania and recognises the value of the LDFC technique. Armed with a spectrogram, Znidersic can not only capture cryptic species but she can visualise bird species that make no noise at all, only because they share a mutual relationship with a wildlife species recorded nearby. “Not all species will be primarily detected by their vocalisations, some will be silent, so we can look outside the box and see if there is a surrogate species for that species that doesn’t vocalise, so we can have that relationship and we can start to look for that species on a visual level” says Znidersic.
The soundscapes being produced by the team at QUT Ecoacoustics with the LDFC technique are starting to blur the line between ecoaccoustics and bioacoustics – research areas normally considered to be two distinct disciplines. Ecoaccoustics studies the total sound generated by an environment, while the latter only records and monitors specific wildlife species calls. “The more experience we get with interpreting images of soundscapes, the more we’re seeing they reflect what bioaccousticians have already published” says Towsey.
Ecoaccoustics recorded at a location can be separated into three categories: geophony (surf, wind and rain), biophony (wildlife calls) and anthropophony (manmade noise).
Insects chorusing at the start and end of the day and birdcalls in the morning are being used as soundmarks by Towsey to determine the acoustic structure of sites, especially beneficial to observing slight differences in ecosystems located close together.
Once the wildlife call is identified, Towsey can use the combination of spectral indices to construct and apply an automated recogniser to the data via computer and locate the acoustic signature or soundmark of that wildlife species at a much faster rate. “We are using machine learning technology or artificial intelligence to recognise all the different categories of sound and we can break the day up into that” says Towsey. The team can even pinpoint the geographic location of a study, just by looking at an LDFC spectrogram. “I actually can look at a spectrogram and have a bit of an idea where that spectrogram was taken from and that can be two locations in America or multiple in Tasmania. I look for certain species, I look for frog chorus, I look for insects and for the intensity of dawn chorus and evening chorus, and what kind of night time activity there is” says Znidersic.
Towsey says the applications for the LDFC technique is limitless and it has already been applied to visually monitor the progress of environmental restoration projects and provide corroborating evidence for the conservation of natural environments. “People think about this field as being relatively new but I like to think it is beginning to mature. The ecological applications are only just being scratched” says Towsey.
Dr Anthony Truskinger is the research software engineer responsible for building the computer infrastructure vital to the research teams work at the QUT and compares their library of sounds with an astronomical observatory. “We actually use a service provided by a collaboration of universities to store research data. We store 90 Terabytes of data. That’s only possible because there’s a national infrastructure for technological investment and prices keep dropping in storage” says Truskinger.
In the past the team applied the LDFC technique to process other scientists recordings but have recently released the Ecoacoustics Analysis Programs software package via GitHub as an open source for researchers to run their own analyses. “Open source sciences is what the future is” explains Truskinger. Long term the team will investigate how subtle temporal changes in soundscapes across land and water, for example, biodiversity, ecosystem health and behaviour of migratory wildlife populations, will be influenced by climate change.
Written by Gabrielle Ahern
Thank you to Dr Michael Towsey, Dr Anthony Truskinger and Elizabeth Znidersic for permission to use their images. Follow the link to QUT Ecoacoustics environmental sound recordings available via Ecosounds.
My interview with the research team will feature in an episode of the NOISEMAKERS podcast series, so stay tuned.