Scripts to experiment with four open-weights text-to-audio models:

• Stable Audio Open
• AudioLDM2
• MMAudio
• MOSS-SoundEffect

Each model needs to be installed and run a bit differently, and in separate Python venvs due to conflicting dependencies. See linux_install.md or macos_install.md. Running on MacOS in particular needs a few patches and workarounds.

Once installed, there are three scripts for each model:

• *_single.py: generates N samples for a single prompt (both the prompt and N can be set inside the script)
• *_esc50.py: Re-runs the ESC-50 experiments from our paper, i.e. 100 samples each for the prompt "Sound of [label]" for each label in ESC-50. Note: generates 5000 audio files and will take a while!
• *_param_count.py: Counts the number of parameters in each model. Added because I got frustrated trying to figure out how big the models were from their papers/documentation.

Our initial paper:

• Jonathan Morse, Azadeh Naderi, Swen Gaudl, Mark Cartwright, Amy K. Hoover, Mark J. Nelson (2025). Expressive range characterization of open text-to-audio models. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 91-98.