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.

Date ( Publication): 2021-08-11

Date ( Creation): 2020-01-22

Status: Under development / Pre operational

Custodian

Flanders Marine Institute (VLIZ) - Clea Parcerisas

Keywords: biologging

Keywords: modelling

Keywords: marine

Keywords: biological occurrence

Keywords: cetacean

Keywords: underwater sound

Keywords: bioacoustics

Keywords: Biomonitoring

Access constraints: License

Use limitation: https://github.com/lifewatch/pyporcc/blob/master/LICENSE

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: https://github.com/lifewatch/pyporcc/issues

Metadata

File identifier: fb2aae3f-e67f-4f42-a65d-247a0570fdc3 XML

Metadata language: en

Hierarchy level: Service

Metadata Schema Version: 0.1

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