File size: 2,565 Bytes
39da493 | 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 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | #!/usr/bin/env python3
"""
Prepare Nigerian language audio data for XTTS fine-tuning.
Supports: Yoruba (yo), Hausa (ha), Igbo (ig), Pidgin (pcm)
"""
import os
import json
import zipfile
from pathlib import Path
BASE_DIR = Path.home() / "voice-training"
DATASETS_DIR = BASE_DIR / "datasets"
OUTPUT_DIR = BASE_DIR / "prepared_data"
def extract_openslr86():
"""Extract OpenSLR86 Yoruba dataset."""
print("=== Extracting OpenSLR86 Yoruba ===")
female_zip = DATASETS_DIR / "yo_ng_female.zip"
male_zip = DATASETS_DIR / "yo_ng_male.zip"
yoruba_dir = OUTPUT_DIR / "yoruba"
yoruba_dir.mkdir(parents=True, exist_ok=True)
for zip_path in [female_zip, male_zip]:
if zip_path.exists():
print(f"Extracting {zip_path.name}...")
with zipfile.ZipFile(zip_path, 'r') as zf:
zf.extractall(yoruba_dir)
print(f"Extracted {zip_path.name}")
else:
print(f"Waiting for {zip_path.name} to download...")
return yoruba_dir
def prepare_manifest(audio_dir: Path, output_file: Path, lang: str):
"""Create a training manifest file."""
manifest = []
# Look for audio files
for ext in ['*.wav', '*.mp3', '*.flac']:
for audio_file in audio_dir.rglob(ext):
# Look for corresponding text file
text_file = audio_file.with_suffix('.txt')
if text_file.exists():
text = text_file.read_text().strip()
else:
text = ""
manifest.append({
"audio_file": str(audio_file),
"text": text,
"language": lang,
"duration": 0 # Will calculate later
})
print(f"Found {len(manifest)} audio files for {lang}")
# Save manifest
output_file.parent.mkdir(parents=True, exist_ok=True)
with open(output_file, 'w') as f:
json.dump(manifest, f, indent=2, ensure_ascii=False)
return len(manifest)
def main():
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
print("Preparing Nigerian language datasets for TTS training...")
print(f"Output directory: {OUTPUT_DIR}")
# Extract OpenSLR86 if downloaded
if (DATASETS_DIR / "yo_ng_female.zip").exists():
yoruba_dir = extract_openslr86()
prepare_manifest(yoruba_dir, OUTPUT_DIR / "manifests" / "yoruba.json", "yo")
print("\n=== Dataset preparation complete ===")
print(f"Check {OUTPUT_DIR} for prepared data")
if __name__ == "__main__":
main()
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