PyPorCC python package

pyporcc is an open-source Python package developed to detect and classify harbour porpoise’s clicks in audio files using the PorCC algorithm and offering the possibility to create new clicks classifiers. It provides a framework to train different models such as Support Vector Machines, Linear Support Vector Machines, Random Forest and K-Nearest Neighbour that classify sound clips in Noise, and Low-Quality and High-Quality harbour porpoises’ clicks. The algorithm from PAMGuard to detect possible clicks clips is also implemented.

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Date ( Publication )
2021-08-11
Date ( Creation )
2020-01-22
Status
Under development / Pre operational
Version
0.1
Keywords
marine
Keywords
biological occurrence
Keywords
cetacean
Keywords
acoustic survey
Keywords
remote sensing
Access constraints
License
Use limitation
https://github.com/lifewatch/pyporcc/blob/master/LICENSE
Custodian
  Flanders Marine Institute (VLIZ) - Clea Parcerisas
 
OnLine resource
PyPorCC on GitHub ( WWW:LINK-1.0-http--link )
OnLine resource
PyPorCC on Zenodo ( DOI )
Topic Category
Species distribution
Service Category
data analysis
Service Language
eng
Service TRL
TRL 6 – Technology demonstrated in relevant environment
Service Funding
The maintenance and further development of PyPorCC relies on financial contributions and support of its host institution: VLIZ. The PyPorCC python package is currently funded through the LifeWatch Belgium project.
Service Helpdesk
https://github.com/lifewatch/pyporcc/issues
 

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