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04dc213 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | """Minimal example: predict speech genuineness (0-6) for a wav file.
Usage:
python example.py path/to/clip.wav [full|balanced]
The model argument is optional and defaults to ``full`` (best overall MAE/corr).
Higher score = sounds more like a real, lived-in spoken moment; lower =
more rehearsed / synthetic.
"""
import os
import sys
from genuineness_scorer import GenuinenessScorer
def main():
if len(sys.argv) < 2:
print("usage: python example.py <clip.wav> [full|balanced]")
sys.exit(1)
wav_path = sys.argv[1]
model = sys.argv[2] if len(sys.argv) > 2 else "full"
pkg_dir = os.path.dirname(os.path.abspath(__file__))
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
scorer = GenuinenessScorer(pkg_dir=pkg_dir, model=model, device=device)
score = scorer.score(wav_path)
print(f"[{model}] genuineness (0-6): {score:.3f}")
if __name__ == "__main__":
main()
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