fishsound-finder 0.1.0

Python software to automatically detect fish sounds in passive acoustic recordings

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 isolated grunts and knocks produced by fish (not choruses). It was originally developed to analyze fish sounds from British Columbia (Canada) but proved to work well also in other parts of the world (e.g. Florida, USA). Future versions will also include detectors for specific fish species (e.g. haddock). Detection outputs from FishSound Finder are compatible with the popular bioacoustics software Raven.

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.

Contributors

Lead developper:

• Xavier Mouy

Collaborators:

• Dana Haggarty

• Francis Juanes

• Stephanie Archer

• Philina English

• Sarah Dudas

• Darienne Lancaster

Analysts :

• Cierra Hart

• Courtney Evans

• Emie Woodburn

• Erik Archer

Credits

• The FishSound Finder logo uses the rockfish image from freepik.com

• This project was initiated in the Juanes Lab at the University of Victoria (British Columbia, Canada) and received funding from the Canadian Healthy Oceans Network and Fisheries and Oceans Canada - Pacific Region.

License

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

History

0.0.0 (2020-12-01)

• First test.