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import os
# Base directory for the LJ Speech-like structure
base_dir = "LJ_Speech_dataset"
# Recursively process each speaker subdirectory
for root, dirs, files in os.walk(base_dir):
for file in files:
if file == "metadata.csv":
metadata_file = os.path.join(root, file)
speaker_name = os.path.basename(root)
# Read the metadata file
with open(metadata_file, "r", encoding="utf-8") as f:
lines = f.readlines()
# Update the metadata lines
updated_lines = []
for line in lines:
parts = line.strip().split("|")
if len(parts) == 3:
parts[1] = speaker_name
updated_line = "|".join(parts)
updated_lines.append(updated_line)
# Write the updated metadata back to the file
with open(metadata_file, "w", encoding="utf-8") as f:
f.write("\n".join(updated_lines))
print(f"Updated metadata for {speaker_name}")
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