Silent Cities AudioTagging
Applying a pretrained DL model to annotate soundscapes. This was developed for analyzing the data collected in the Silent Cities project.
Used model:
Requirements
Usage
python tag_silentcities.py [-h] [--length LENGTH]
[--folder FOLDER] [--file FILE] [--verbose]
[--overwrite] [--out OUT]
Silent City Audio Tagging with pretrained LeeNet11 on Audioset
optional arguments:
-h, --help show this help message and exit
--length LENGTH Segment length
--folder FOLDER Path to folder with wavefiles, will walk through subfolders
--file FILE Path to file to process
--verbose Verbose (default False = nothing printed)
--overwrite Overwrite files (default False)
--out OUT Output file (pandas pickle), default is output.xzThis will save a pandas dataframe as an output file.
A heatmap can be generated using the function in analysis.py and postprocessing.py, to generate a heatmap such as this one :
Use the make_interactive_pdf function to generate an estimate of probability densities at various scales, such as this one :
Credits
Nicolas Farrugia, Nicolas Pajusco, IMT Atlantique, 2020.
Code for Audioset Tagging CNN from Qiu Qiang Kong