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Optional BirdNET-Analyzer

In addition to the BirdNET Pi, we also have other tools, such as the BirdNET Analyzer.

If we have enough time, we will work with real-world bird sound recordings collected in advance using AudioMoth devices. The AudioMoth is a compact, low-power acoustic recorder that is widely used in ecological and bioacoustic research to capture environmental sounds over extended periods of time.

These recordings will be analyzed using the BirdNET-Analyzer, a tool developed to automatically detect and classify bird species from audio data.

Steps:

  1. Download and set up the BirdNET-Analyzer from the GitHub repository.
  2. Upload the pre-recorded audio files from the AudioMoth devices to the BirdNET-Analyzer.
  • Note: We will only analyze some parts of the audio files, as analyzing the entire recordings would be too time-consuming.
  • If the file is too long, deselect the option Generate spectrogram.

  1. Run automated species detection.
  2. Explore the results, including timestamps, confidence scores, and predicted species.

This hands-on session provides practical insight into how bioacoustic data is processed and analyzed using AI, and demonstrates how such tools can support research, monitoring, and conservation efforts.