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Related Experiment Video

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Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
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callsync: An R package for alignment and analysis of multi-microphone animal recordings.

Simeon Q Smeele1,2,3,4, Stephen A Tyndel1,3, Barbara C Klump1,5

  • 1Cognitive & Cultural Ecology Research Group Max Planck Institute of Animal Behavior Radolfzell Germany.

Ecology and Evolution
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Summary

The callsync R package aligns animal vocal recordings, enabling accurate caller identification and analysis. This tool simplifies complex bioacoustic data, facilitating better understanding of animal communication during social interactions.

Keywords:
bio acousticscommunication networksmicrophone alignmentrecording processing

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Area of Science:

  • Bioacoustics
  • Animal Behavior
  • Computational Biology

Background:

  • Analyzing multi-individual vocalizations is challenging due to microphone clock drift and noise.
  • On-board recording devices are increasingly used, generating complex datasets.

Purpose of the Study:

  • Introduce callsync, an R package to process and analyze animal vocal recordings.
  • Address issues of recording alignment, vocalization detection, assignment, and noise filtering.

Main Methods:

  • Developed callsync, an R package for bioacoustic data processing.
  • Applied the package to cockatiel vocalization recordings with significant clock drift.
  • Utilized spectrographic cross-correlation for vocal similarity assessment.

Main Results:

  • Successfully aligned recordings with initial drift of ~2 minutes to within ~2 seconds.
  • Detected and assigned 2101 vocalizations from multi-hour recordings.
  • Demonstrated the package's effectiveness with and without auditory markers.

Conclusions:

  • The callsync package provides a robust pipeline from raw audio to analyzed vocal features.
  • It offers modularity, allowing users to customize analysis steps.
  • Facilitates advanced study of animal communication in multi-individual settings.