Bat acoustics research started as early as the 1970s. Many researchers and manufacturers have developed automated bat detectors. These tools are effective ways to assess an ecological system. Kaleidoscope has the functions of bat auto identification. What is the software/package available for bat identification through acoustics? What are their limitations? Is there any open-source solution to bat auto identification*?
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4 Answers
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The grassroots Bat-pi project has a list of software that you can use to analyze bat calls. Not all are automated, but they also provide references to get you started. They are EU-based.
Software (Freeware) for bat call analysis
- BatScope (Mac OS X). Databank, optical analysis, classification
- Raven Lite (Mac OS X, Windows) optical analysis
- Avisoft-SASLab Lite (Windows) optical analysis
- WaveSurfer (Windows) optical analysis
- BatClassify (Windows) analysis
- SeaWave Sound Emission Analyzer Wave edition (Windows) optical analysis
- BatExplorer Software (Windows) optical analysis
Commercial Software
- ecoObs GmbH: bcAdmin (Mac OS X). Databank, optical anaysis, classification, result mangement
- ecoObs GmbH: bcAnalyze (Mac OS X). optical analysis, call examples Pettersson: BatSound (Windows) optical analysis,
- Avisoft: SASLab Pro Bioacoustics Laboratory Software (Windows) optical analysis, classification
- Ravensoundsoftware: Raven pro (Mac OS X, Windows) optical analysis,
- Binaryacoustics: SCAN’R selection of bat calls by parameter filters
- Biotope: Sonochiro optical analysis, classification (rentable)
- Wildlifeacoustics: Kaleidoscope optical analysis, classification by selfmade classifiers
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1$\begingroup$ Batscope is also available for Windows (unfortunately no Linux) $\endgroup$– Bernd V.Commented Dec 21, 2023 at 15:59
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PAMGuard has recently been updated so it can be used more in terrestrial acoustics, with a focus on bats. Here is a tutorial which demonstrates how to process acoustic data (e.g. data collected on an AudioMoth) to automatically detect bat calls and then utilise a deep learning model to classify the calls to species.
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I don't have any personal experience, but the 'Tadarida' toolkit comes to mind. Here's the paper link and here's the repository.
While the tool itself is a generic classification and training tool, the paper highlights its use in various acoustic bat species surveys.
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There is an option for automated bat detection and identification on device (Raspberry Pi and ultrasound microphone):
