fishsound-finder 0.1.1

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 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.

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.

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.

Contributors

Lead developper:

• Xavier Mouy

Collaborators:

• Dana Haggarty

• Francis Juanes

• Sarah Dudas

• Sofie Van Parijs

• Stephanie Archer

• Darienne Lancaster

• Philina English

• Bill Halliday

Analysts :

• Aislyn Adams

• 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 Fisheries and Oceans Canada - Pacific Region, the Canadian Healthy Oceans Network, and NOAA Fisheries. Ocean Networks Canada provided data and computing resources.

License

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

History

0.0.0 (2020-12-01)

• First test.