To reduce the volume of data needed for training the classifiers we extract annotated parts from the original .wav files and store them separately.
raven_to_wav.py parses the .txt output from Raven Pro software. Within Raven Pro the user can select which columns should be printed in the .txt file.
The columns that are needed to run raven_to_wav.py are:
| begin path | end path | class | file offset (s) | start time (s) | end time (s) |
—- | ——— | —— | ———- | ——| —- |
The script contains a function to account for annotations that start in one file and end in another file. It splits those annotations into 2 or more .wav files.
The output filenames of the .wav files are numbered and contain metadata (recorder ID, original wav file, and start time(AKA offset)).
This folder contains a python script to run process the original .wav files and a .sh shell script to call the python script.
The python script can be run from command line, in Pycharm (modify run configuration to pass the arguments) or using the shell script.
python3.8 raven_to_wav.py --annotations_file="raven_annotations.txt"
--species=Chimpanzee
--wavpath=/data/original_wav_files/
--outputdir=/data/processed_wav_files/
--recID=2C
--min_sig_len=0.2
--bg_padding_len=0.05
--createframes=0
A convenient shell script that runs the script can be found in this folder as well, and can be executed with:
$ ./raven_to_wav.sh