This is a Python-script to batch-en- and decode audio samples to generate graphs of audio metric scores.

This is a graph generated from ODG-scores as determined with GstPEAQ as audio quality metric.

Note that objective audio metrics augment (but do not replace) actual listening tests. Automated metrics can provide approximate guidance, though.

• An audio quality measurement tool, such as GstPEAQ. The script peaqer.py derives its name from the PEAQ audio quality metric.
• Some audio en- and decoders, such as Opus tools or LAME etc.
• FFmpeg
• python3, with matplotlib installed. On Debian and Ubuntu, this can be obtained with the python3-matplotlib package, but installing via pip should be plenty fine as well.

The script peaqer.py does not have any command line arguments - all settings regarding the encoding-experiments are set in settings.json.

Proposed workflow:

1. Assemble a directory with .wav files. For audio quality testing, usually rather short files with 5 to 20 seconds of audio content are employed.
2. Copy settings.json into that directory and customize it to your needs.
3. Start peaqer.py with the current workdir being the aforementioned directory with .wav files and settings.json.
4. Be patient while peaqer.py en- and decodes the samples files with all encoders and bitrates and invokes the configured audio quality metric tools. This can take a while.