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9f2b6db | 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 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | import subprocess
import sys
import os
import argparse
from dataset import AudioDataset
def run_command(cmd):
try:
subprocess.run(cmd, check=True, text=True, capture_output=True)
except subprocess.CalledProcessError:
sys.exit(1)
def download_dataset():
run_command(["git", "lfs", "install"])
dataset_dir = "MLAAD-tiny"
if not os.path.exists(dataset_dir):
print("=== Cloning MLAAD-tiny dataset ===")
run_command(["git", "clone", "https://huggingface.co/datasets/mueller91/MLAAD-tiny"])
else:
print(f"Dataset directory '{dataset_dir}' already exists. Skipping clone.")
def precompute_cqcc(data_dir, cqcc_cache_dir, force=False):
for lang in ["en", "de"]:
print(f"\n--- Precomputing CQCC for language: {lang} ---")
dataset = AudioDataset(
data_dir=data_dir,
augment=False,
cqcc_cache_dir=cqcc_cache_dir,
target_lang=lang
)
dataset.precompute_cqcc_cache(force=force)
print("\nFinished all CQCC preprocessing.")
def parse_args():
parser = argparse.ArgumentParser(description="Download dataset and precompute CQCC features.")
parser.add_argument("--data-dir", default="MLAAD-tiny")
parser.add_argument(
"--cqcc-cache-dir",
default=os.path.join(os.path.dirname(__file__), "precomputed_features", "cqcc")
)
parser.add_argument("--force", action="store_true")
parser.add_argument("--skip-download", action="store_true")
parser.add_argument("--skip-cqcc", action="store_true")
return parser.parse_args()
if __name__ == "__main__":
args = parse_args()
if not args.skip_download:
download_dataset()
if not args.skip_cqcc:
precompute_cqcc(args.data_dir, args.cqcc_cache_dir, args.force) |