Audio dataset
scikit-maad provides a diversified audio dataset with samples from tropical (French Guiana and Colombia) and temperate habitats (France). All files were recorded using passive acoustic sensors. More sounds from other ecosystems will be added soon.
Code name |
Date |
Time |
Location |
Habitat |
---|---|---|---|---|
spinetail |
2018-09-19 |
11:00 |
Valle del Cauca, Colombia |
Scrub vegetation near cloud forest edge |
cold_forest_daylight |
2019-04-12 |
11:00 |
Jura, France |
Temperate cold mountain forest covered by spruce forest |
cold_forest_night |
2019-08-25 |
04:00 |
Jura, France |
Temperate cold mountain forest covered by spruce forest |
rock_savanna_night |
2014-12-05 |
22:17 |
French Guiana |
Tropical rock savanna on a granite hill |
tropical_forest_morning |
2019-06-29 |
6:15 |
French Guiana |
Lowland tropical rainforest |
indices |
2019-05-22 |
24-h cycle |
Jura, France |
Temperate cold mountain forest covered by spruce forest |
Downloading the audio dataset
Most of the examples found in modules and in the example gallery use these audio recordings. To test and run the scripts, we recommend downloading these files to your local hard drive. The files can be downloaded from the GitHub repository (https://github.com/scikit-maad/scikit-maad). Once in your local hard drive, the audio examples can be loaded by adding the path to these files:
>>> from maad import sound
>>> s, fs = sound.load('<PATH TO AUDIO DATA>/spinetail.wav')
Downloading a single audio example
scikit-maad also provide a simple function to load audio examples using their URL. Note however, that the function will download the file each time you run the script.
>>> from maad import sound
>>> s, fs = sound.load_url('spinetail')