Example gallery

This gallery is intended to present examples on how to use scikit-maad to analyse audio recordings. To run most of these examples you will need to download some samples from the Audio dataset.

Basic examples

Simple audio segmentation

Simple audio segmentation

Audio representation

Audio representation

Circadian soundscape

Circadian soundscape

Template matching

Template matching

Detection distance estimation

Detection distance estimation

Advanced examples

Acoustic fingerprinting and graphical soundscapes

Acoustic fingerprinting and graphical soundscapes

Signal decomposition and false-color spectrograms

Signal decomposition and false-color spectrograms

Classify soundtypes with unsupervised learning

Classify soundtypes with unsupervised learning

Remove background noise with signal processing tools

Remove background noise with signal processing tools

Simulation of sound degradation due to geometric, atmospheric and habitat attenuation

Simulation of sound degradation due to geometric, atmospheric and habitat attenuation

Download metadata from Xeno-Canto to infer species activities

Download metadata from Xeno-Canto to infer species activities

Estimate sound pressure level from audio recordings

Estimate sound pressure level from audio recordings

Extract acoustic indices from audio recordings

Extract acoustic indices from audio recordings

Find Regions of interest (ROIs) in a spectrogram

Find Regions of interest (ROIs) in a spectrogram

Use multicpu functionality to compute indices

Use multicpu functionality to compute indices

Download audio files from Xeno-Canto and automatically extract characteristics

Download audio files from Xeno-Canto and automatically extract characteristics