sinhala-tts

VITS Sinhala TTS

A VITS text-to-speech model for Sinhala (සිංහල), trained using Coqui TTS.

GitHub: pradeep-sanjaya/sinhala-tts

Training Details

Usage

From Hugging Face

from huggingface_hub import hf_hub_download
from TTS.utils.synthesizer import Synthesizer

config_path = hf_hub_download(repo_id="ngpsanjaya/vits-sinhala", filename="config.json")
model_path = hf_hub_download(repo_id="ngpsanjaya/vits-sinhala", filename="model.pth")

synthesizer = Synthesizer(
    tts_checkpoint=model_path,
    tts_config_path=config_path,
    use_cuda=True,
)

wav = synthesizer.tts("ආයුබෝවන්")

Save to WAV

import numpy as np
import soundfile as sf

sf.write("output.wav", np.array(wav), synthesizer.tts_config.audio.sample_rate)

Training & Deployment

The full training pipeline supports Modal, Kaggle, Google Colab, and AWS SageMaker.

See the GitHub repo for:

• Platform-specific configs and training scripts
• Kaggle and Colab notebooks for free GPU training
• Inference scripts (Modal and local)
• Checkpoint resume support

License

MIT. Please check the dataset license for data usage terms.