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6bb3339 | 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 | #!/usr/bin/env python3
"""Synthesise Egyptian Arabic with KemeTone.
python example.py "النَّهَارْدَه الْجَوّ حِلْو أَوِي" out.wav
Input should be diacritized. Undiacritized Arabic still synthesises, but short
vowels are then guessed by the phonemiser rather than read from the text, and
the guesses follow Modern Standard patterns — which is audibly wrong in
Egyptian. See the model card.
If espeak-ng is not on the default library path, point KemeTone at it:
export KEMETONE_ESPEAK_LIB=/path/to/libespeak-ng.so
export KEMETONE_ESPEAK_DATA=/path/to/espeak-ng-data
"""
import sys
import torch
import soundfile as sf
from kokoro import KModel
from kemetone import EgyptianG2P
SR = 24000
REPO = "Rabe3/kemetone"
def main() -> int:
text = sys.argv[1] if len(sys.argv) > 1 else "النَّهَارْدَه الْجَوّ حِلْو أَوِي"
out = sys.argv[2] if len(sys.argv) > 2 else "out.wav"
device = "cuda" if torch.cuda.is_available() else "cpu"
model = KModel(repo_id=REPO, config="config.json",
model="kemetone.pth").to(device).eval()
voice = torch.load("voices/kemetone.pt", map_location=device)
ipa = EgyptianG2P()(text)
print("phonemes:", ipa)
with torch.no_grad():
audio = model(ipa, voice[len(ipa) - 1])
sf.write(out, audio.cpu().numpy(), SR)
print(f"wrote {out} {len(audio) / SR:.1f}s")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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