Eco-Acoustic Visualization Tools
First, create a directory with wav audio files named YYMMDD_HHMMSS.wav/flac or What_EVER_YYMMDD_HHMMSS.wav/flac. Then, use process.py to extract the eco-acoustic indices and the tagging. Finally, use the dash_app.py script to run the web application.
First download the ResNet22 pretrained model using instructions here
python process.py [-h] [--data_path DATA_PATH] [--save_path SAVE_PATH] [--name NAME] [--process_tagging PROCESS_TAGGING] [--process_indices PROCESS_INDICES] [--audio_format AUDIO_FORMAT][--length_audio_segment LENGTH_AUDIO_SEGMENT] [--save_audio_flac SAVE_AUDIO_FLAC] [--Fmin FMIN] [--Fmax FMAX]
Script to process sound files recorded by Audiomoth
options:
-h, --help show this help message and exit
--data_path DATA_PATH
Path to wav files
--save_path SAVE_PATH
Path to save meta data
--name NAME name of measurement
--process_tagging PROCESS_TAGGING
Process tagging 0 or 1
--process_indices PROCESS_INDICES
Process indices 0 or 1
--audio_format AUDIO_FORMAT
wav or flac
--length_audio_segment LENGTH_AUDIO_SEGMENT
Length of analyzing window MUST BE LOWER THAN SIGNAL LENGTH
--save_audio_flac SAVE_AUDIO_FLAC
Saving audio in flac format (needed to run visualization tool)
--Fmin FMIN Freq min (filter)
--Fmax FMAX Freq max (filter)
python3 process.py --save_path example/metadata/ --data_path example/metadata/audio_0002/ --name 0004 --audio_format flac --length_audio_segment 3 --process_tagging 0
processing only ecoacoustic indices of flac format audio files on 3 s segment length.
Eco-acoustic indices can be added in the script indices.py.
The name of the index must be added in the list name_indices and the calculation part in the function compute_ecoacoustics.
Each wav file is divided into 10 second segments and converted to flac.
python dash_app.py [-h] [--save_path SAVE_PATH]
Script to display sound files recorded by Audiomoth
options:
-h, --help show this help message and exit
--save_path SAVE_PATH
Path to save meta data
--name NAME name of measurement
Code for Audioset Tagging CNN from Qiu Qiang Kong Code for Eco-acoustic indices from Patric Guyot and Sylvain Haupert and Juan Sebastian Ulloa
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