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eval.py
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eval.py
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from argparse import ArgumentParser, Namespace
from diffmusic.metrics.fad import FrechetAudioDistance
from diffmusic.metrics.kl import KullbackLeiblerDivergence
from diffmusic.metrics.lsd import LogSpectralDistance
from diffmusic.utils import load_audio_files
def parse_arguments() -> Namespace:
parser = ArgumentParser()
parser.add_argument(
"-gt",
"--ground_truth_dir",
default="outputs/audioldm2/mpgd/music_inpainting/wav_label",
type=str,
)
parser.add_argument(
"-r",
"--reconstruction_dir",
default="outputs/audioldm2/mpgd/music_inpainting/wav_recon",
type=str,
)
return parser.parse_args()
if __name__ == "__main__":
args = parse_arguments()
audio_background = load_audio_files(
args.ground_truth_dir,
sample_rate=16000,
)
audio_eval = load_audio_files(
args.reconstruction_dir,
sample_rate=16000,
)
frechet = FrechetAudioDistance(
sample_rate=16000,
use_pca=False,
use_activation=False,
verbose=False
)
kl = KullbackLeiblerDivergence(
sample_rate=16000,
use_pca=False,
use_activation=False,
verbose=False
)
lsd = LogSpectralDistance(
sample_rate=16000,
n_fft=1024,
hop_length=512,
eps=1e-10,
)
fad_score = frechet.score(
audio_background,
audio_eval,
)
kl_score = kl.score(
audio_background,
audio_eval,
)
lsd_score = lsd.score(
audio_background,
audio_eval,
)
print(f"lsd_score: {lsd_score:.4f}")
print(f"fad_score: {fad_score:.4f}")
print(f"kl_score: {kl_score:.4f}")