pykanto is a new software package to make the process of archiving, cleaning, segmenting, labelling, and analysing animal vocalisations faster and more reproducible. This website contains its documentation.
This article explains the motivation behind the project and provides a worked example using it to analyse bird songs.

User guide

• Installing pykanto
• Setting up a project
• Basic workflow
• Preparing long recordings
• Segmenting vocalisations
• The KantoData dataset
• Interactive app
• High Performance Computing
• Acoustic feature extraction
• Training ML models
• FAQs & known issues

Modules

pykanto.signal	Tools related to signal processing, spectrogramming and event segmentation.
pykanto.parameters	Classes and methods to store and modify pykanto parameters.
pykanto.dataset	Build the main dataset class and its methods to visualise, segment and label animal vocalisations.
pykanto.app	Interactive web application to explore and label large numbers of vocalisations.
pykanto.utils	Parsers, I/O tools, typing and general computing.
pykanto.plot	A collection of functions to plot spectrograms.