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from src.datasets.base_dataset import SimpleAudioFakeDataset
import pandas as pd
from pathlib import Path
import os
class KoAAD(SimpleAudioFakeDataset):
def __init__(self, root_path, subset=None, **kwargs):
super().__init__(root_path, subset, **kwargs)
self.root_path = Path(f'{root_path}')
self.subset = subset
self.samples = self.load_samples()
def load_samples(self):
samples = {
"user_id": [],
"sample_name": [],
"attack_type": [],
"label": [],
"path": []
}
folders_1 = list(self.root_path.glob("*"))
for f1 in folders_1:
if not os.path.isdir(f1):
continue
if not f1.exists():
print(f"{path} 경로를 찾을 수 없습니다.")
samples_list = list(f1.rglob("*.[wm][ap][v3]"))
if self.subset == 'train':
samples_list = samples_list[:int(len(samples_list)*0.7)]
else:
samples_list = samples_list[int(len(samples_list)*0.7):]
for sample in samples_list:
if os.path.exists(sample):
samples["user_id"].append(None)
samples["path"].append(sample)
samples["sample_name"].append(sample.stem)
samples["attack_type"].append("-")
samples["label"].append("spoof")
print(f"KoAAD_{self.subset}:{len(samples['label'])}")
return pd.DataFrame(samples)
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