Back to Search Start Over

BASSA: New software tool reveals hidden details in visualisation of low-frequency animal sounds.

Authors :
Jancovich BA
Rogers TL
Source :
Ecology and evolution [Ecol Evol] 2024 Jul 03; Vol. 14 (7), pp. e11636. Date of Electronic Publication: 2024 Jul 03 (Print Publication: 2024).
Publication Year :
2024

Abstract

The study of animal sounds in biology and ecology relies heavily upon time-frequency (TF) visualisation, most commonly using the short-time Fourier transform (STFT) spectrogram. This method, however, has inherent bias towards either temporal or spectral details that can lead to misinterpretation of complex animal sounds. An ideal TF visualisation should accurately convey the structure of the sound in terms of both frequency and time, however, the STFT often cannot meet this requirement. We evaluate the accuracy of four TF visualisation methods (superlet transform [SLT], continuous wavelet transform [CWT] and two STFTs) using a synthetic test signal. We then apply these methods to visualise sounds of the Chagos blue whale, Asian elephant, southern cassowary, eastern whipbird, mulloway fish and the American crocodile. We show that the SLT visualises the test signal with 18.48%-28.08% less error than the other methods. A comparison between our visualisations of animal sounds and their literature descriptions indicates that the STFT's bias may have caused misinterpretations in describing pygmy blue whale songs and elephant rumbles. We suggest that use of the SLT to visualise low-frequency animal sounds may prevent such misinterpretations. Finally, we employ the SLT to develop 'BASSA', an open-source, GUI software application that offers a no-code, user-friendly tool for analysing short-duration recordings of low-frequency animal sounds for the Windows platform. The SLT visualises low-frequency animal sounds with improved accuracy, in a user-friendly format, minimising the risk of misinterpretation while requiring less technical expertise than the STFT. Using this method could propel advances in acoustics-driven studies of animal communication, vocal production methods, phonation and species identification.<br />Competing Interests: The authors declare no conflicts of interest and no relevant commercial relationships.<br /> (© 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
2045-7758
Volume :
14
Issue :
7
Database :
MEDLINE
Journal :
Ecology and evolution
Publication Type :
Academic Journal
Accession number :
38962019
Full Text :
https://doi.org/10.1002/ece3.11636