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.
Default
- Date ( Publication)
- 2021-08-11
- Date ( Creation)
- 2020-01-22
- Status
- Under development / Pre operational
- Keywords
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biologging
- Keywords
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modelling
- Keywords
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marine
- Keywords
-
biological occurrence
- Keywords
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cetacean
- Keywords
-
underwater sound
- Keywords
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bioacoustics
- Keywords
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biomonitoring
- Access constraints
- License
- Use limitation
- 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 Category
-
data processing
- 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
metadataMetadata
- File identifier
- fb2aae3f-e67f-4f42-a65d-247a0570fdc3 XML
- Metadata language
- en
- Hierarchy level
- Service
- Metadata Schema Version
-
0.1
