frechet-audio-distance 0.1.1

A lightweight library of Frechet Audio Distance calculation.

Frechet Audio Distance in PyTorch

A lightweight library of Frechet Audio Distance calculation.

Currently, we support embedding from:

• VGGish by S. Hershey et al.
• PANN by Kong et al..

Installation

pip install frechet_audio_distance

Demo

from frechet_audio_distance import FrechetAudioDistance

# to use `vggish`
frechet = FrechetAudioDistance(
    model_name="vggish",
    use_pca=False, 
    use_activation=False,
    verbose=False,
    dtype="float32"
)
# to use `PANN`
frechet = FrechetAudioDistance(
    model_name="pann",
    use_pca=False, 
    use_activation=False,
    verbose=False,
    dtype="float32"
)
fad_score = frechet.score("/path/to/background/set", "/path/to/eval/set")

Result validation

Test 1: Distorted sine waves on vggish (as provided here) [notes]

FAD scores comparison w.r.t. to original implementation in google-research/frechet-audio-distance

	baseline vs test1	baseline vs test2
google-research	12.4375	4.7680
frechet_audio_distance	12.7398	4.9815

Test 2: Distorted sine waves on PANN

	baseline vs test1	baseline vs test2
frechet_audio_distance	0.000465	0.00008594

To contribute

• Run python3 -m build to build your version locally. The built wheel should be in dist/.
• pip install your local wheel version, and run pytest test/ to validate your changes.

References

VGGish in PyTorch: https://github.com/harritaylor/torchvggish

Frechet distance implementation: https://github.com/mseitzer/pytorch-fid

Frechet Audio Distance paper: https://arxiv.org/abs/1812.08466

PANN paper: https://arxiv.org/abs/1912.10211