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Selected Bioacoustic analysis tools

 

R or Python packages and tools are useful tools to perform sound detection, classification, and analysis. In particular warbleR, SeeWave, bioacoustics, monitoR, are excellent packages for bioacoustics pipelines. Other GUI software are also available to achieve those goals:

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R packages

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warbleR 

Website: https://cran.r-project.org/web/packages/warbleR/index.html https://cran.r-project.org/web/packages/seewave/index.html

Authors: Marcelo Araya-Salas & Grace Smith-Vidaurre  (araya-salas@cornell.edu)

warbleR is R package that combines analytic tools used to measure and detect acoustic signals. 

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Seewave

Website: https://cran.r-project.org/web/packages/seewave/index.html 

Authors: Jerome Sueur et al. (sueur@mnhn.fr)

Seewaves offers a wide array of tools to analyze animal sounds with R signals. Acoustic template detection and monitoring database interface.

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monitoR

Website: https://cran.r-project.org/web/packages/monitoR/index.html

Authors: Sasha D. Hafner (sdh11@cornell.edu)

monitoR uses acoustic template to detect sounds.

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bioacoustics

Website: https://cran.r-project.org/web/packages/bioacoustics/index.html

Authors: Jean Marchal et al. (jean.marchal@wavx.ca)bioacoustics contains tools to transform, detect and classify animal sounds. 

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Sound autodetection software

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Kaleidoscope

Website: https://www.wildlifeacoustics.com/products/kaleidoscope-software-ultrasonic 

Kaleidoscope uses sound recognizers to detect animal sounds. This software saves a lot of time when processing numerous and long audio files.

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Interactive sound analysis software

 

Raven- Cornell Lab of Ornithology

Website: http://www.birds.cornell.edu/brp/raven/RavenOverview.html

Syrinx is a user-friendly platform that allows visualizing of sounds and annotation of animal vocalizations. 

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