icefall/egs/librispeech/ASR/local/prepare_rir_standard.py
jaeeunbaik 915e8e399c Add CHiME-4 dataset, RIR and Self-Distillation
- Added CHiME-4 dataset integration in asr_datamodule.py
- Added Hugging Face upload script
- Added RIR augmentation
- Added Self-Distillation Training
2025-08-27 16:11:20 +09:00

148 lines
4.5 KiB
Python

#!/usr/bin/env python3
"""
Create RIR cuts using lhotse's standard approach.
This should create a properly formatted cuts manifest.
"""
import argparse
import logging
from pathlib import Path
from lhotse import CutSet, Recording, RecordingSet
from lhotse.audio import AudioSource
from lhotse.utils import Pathlike
def get_args():
parser = argparse.ArgumentParser(
description="Prepare RIR data for lhotse using standard approach",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--rir-scp",
type=Path,
required=True,
help="Path to rir.scp file containing RIR file paths",
)
parser.add_argument(
"--output-dir",
type=Path,
required=True,
help="Output directory for RIR manifests",
)
return parser.parse_args()
def prepare_rir_manifest(
rir_scp: Pathlike,
output_dir: Pathlike,
) -> None:
"""
Prepare RIR manifest using lhotse's standard approach.
"""
output_dir = Path(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
recordings = []
# Read rir.scp file
with open(rir_scp, 'r') as f:
for line_idx, line in enumerate(f):
line = line.strip()
if not line or line.startswith('#'):
continue
# Parse line: either "path" or "id path"
parts = line.split()
if len(parts) == 1:
rir_path = parts[0]
rir_id = f"rir_{line_idx:06d}"
elif len(parts) == 2:
rir_id, rir_path = parts
else:
logging.warning(f"Invalid line in rir.scp: {line}")
continue
# Check if file exists
rir_path = Path(rir_path)
if not rir_path.exists():
logging.warning(f"RIR file not found: {rir_path}")
continue
# Create recording
recording = Recording(
id=rir_id,
sources=[
AudioSource(
type="file",
channels=[0],
source=str(rir_path.resolve()),
)
],
sampling_rate=16000, # Will be auto-detected
num_samples=None, # Will be auto-detected
duration=None, # Will be auto-detected
)
recordings.append(recording)
logging.info(f"Found {len(recordings)} RIR files")
# Create recording set and validate
recording_set = RecordingSet.from_recordings(recordings)
# Save recording manifest
recordings_output_path = output_dir / "rir_recordings.jsonl.gz"
recording_set.to_file(recordings_output_path)
logging.info(f"Saved RIR recording manifest to {recordings_output_path}")
# Create cuts using lhotse's standard method
logging.info("Creating RIR cuts manifest using lhotse's standard method...")
cuts = CutSet.from_manifests(recordings=recording_set)
# Save cuts manifest
cuts_output_path = output_dir / "rir_cuts.jsonl.gz"
cuts.to_file(cuts_output_path)
logging.info(f"Saved RIR cuts manifest to {cuts_output_path}")
# Verify the cuts can be loaded
try:
from lhotse import load_manifest
cuts_test = load_manifest(cuts_output_path)
logging.info(f"✓ Successfully verified: loaded {len(cuts_test)} cuts")
logging.info(f"First cut ID: {cuts_test[0].id}")
logging.info(f"First cut keys: {list(cuts_test[0].to_dict().keys())}")
except Exception as e:
logging.error(f"✗ Failed to verify cuts: {e}")
# Try CutSet.from_file as fallback
try:
cuts_test2 = CutSet.from_file(cuts_output_path)
logging.info(f"✓ CutSet.from_file worked: loaded {len(cuts_test2)} cuts")
except Exception as e2:
logging.error(f"✗ CutSet.from_file also failed: {e2}")
return recording_set, cuts
def main():
args = get_args()
logging.basicConfig(
format="%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s",
level=logging.INFO,
)
logging.info("Preparing RIR data using lhotse standard approach...")
prepare_rir_manifest(
rir_scp=args.rir_scp,
output_dir=args.output_dir,
)
logging.info("Done!")
if __name__ == "__main__":
main()