Background

Passive acoustic monitoring (PAM) has emerged as a powerful tool across a range of disciplines and environments. However, the large volume of data typically collected by this method often exceeds the capacity of humans to analyse it manually. Classification algorithms such as BirdNET can assist with this by automatically identifying specific sounds, such as bird songs and calls, in recordings. Although BirdNET provides a confidence level for each identification, this level does not accurately reflect the probability of a correct identification. Consequently, some of the identified sounds must be reviewed manually to ensure accuracy.
Existing tools that enable users to perform this task are mainly geared towards research applications. What is lacking is a user-friendly tool that makes it easy to quickly select and review recordings requiring closer examination. This is one reason why passive acoustic monitoring is not yet widely used in conservation efforts and environmental planning.

PAMalyzer is a tool that fills this gap by providing a single software package that includes automatic identification, visual analysis of sound files and manual verification.

Setup

For instructions on how to install the software on your system, please refer to the PAMalyzer GitHub page.

Workflow

The general workflow for analysing audio data from PAM studies, collected in the field using autonomous recording units (ARUs), comprises three main steps:

• The classification of the audio recordings
• The manual review process
• The compilation of results

The figure illustrates how this general workflow is implemented within PAMalyzer.

We also provide a comprehensive manual with detailed instructions on how to translate the workflow into specific actions within PAMalyzer. You can find this in the ‘Help’ menu of the software.

AnuraPAM: Classifiers for European Anurans

AnuraPAM is a flexible, ready-to-use collection of automated call classifier models for the Central European anuran fauna, trained using the BirdNET deep-learning framework. The models can distinguish between 14 Central European amphibian species, including one hybrid taxon (Pelophylax kl. esculentus). All our models are available on Zenodo as ready-to-use classifiers for use in PAMalyzer. The paper can be found HERE.

To do this, use the option to specify a custom classifier in the advanced settings section of the BirdNET classification dialogue box. 

Running AnuraPAM on your smartphone

AnuraPAM can also be used in the Android smartphone app “BatGizmo”. Use the QR codes below to access the model on your smartphone. A brief guide on how to do this can be found HERE.