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A python program to automatically detect fish sounds in passive acoustic recordings.

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xaviermouy/FishSound_Finder

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Welcome to FishSound Finder!

FishSound Finder is an open source python software to automatically detect and classify fish sounds in passive acoustic recordings. It is based on the python libraries ecosound and ketos. FishSound Finder was trained to detect typical low frequency (< 1kHz) isolated grunts and knocks produced by fish. Future versions will also include the capability to detect sounds from specific fish species (e.g. haddock). It was originally developed to analyze fish sounds found in coastal British Columbia (Canada) but proved to also work well in other parts of the world (e.g. Florida, USA). Detection outputs from FishSound Finder are compatible with the popular bioacoustics software Raven.

docs/source/_static/detection_example.png

Documentation

The documentation of FishSound Finder can be found here: https://fishsound-finder.readthedocs.io. It includes a description of the software, instructions on how to install and run it, as well as a tutorial.

If you use FishSound Finder for your reserach, please cite our paper:

Mouy X, Archer SK, Dosso S, Dudas S, English P, Foord C, Halliday W, Juanes F, Lancaster D, Van Parijs S and Haggarty D (2024). Automatic detection of unidentified fish sounds: a comparison of traditional machine learning with deep learning. Front. Remote Sens. 5:1439995. https://doi.org/10.3389/frsen.2024.1439995

Status

FishSound Finder has been tested on a number of different environments and is considered stable. We are keen to keep improving FishSound Finder and encourage users to get in touch with us to provide feedback and report issues/bugs.

Reference

Contributors

Lead developper:

Collaborators:

Analysts :

  • Aislyn Adams
  • Cierra Hart
  • Courtney Evans
  • Emie Woodburn
  • Erik Archer

Credits

License

FishSound Finder is licensed under the open source BSD-3-Clause License.

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A python program to automatically detect fish sounds in passive acoustic recordings.

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