# Moroccan Darija Text-to-Speech Model

This model is a fine-tuned version of SpeechT5 for Moroccan Darija Text-to-Speech synthesis.

## Model Details

- **Base Model**: Microsoft SpeechT5
- **Fine-tuned on**: DODa audio dataset
- **Languages**: Moroccan Darija (Latin script)
- **Features**: Multiple voice support (male/female)
- **Release Date**: April 2025

## Usage

```python
from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
import torch
import soundfile as sf

# Load models
processor = SpeechT5Processor.from_pretrained("HAMMALE/speecht5-darija")
model = SpeechT5ForTextToSpeech.from_pretrained("HAMMALE/speecht5-darija")
vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")

# Load speaker embedding (replace with your own speaker embedding)
speaker_embedding = torch.randn(1, 512)  # Example embedding

# Process text
text = "Salam, kifach nta lyoum?"
inputs = processor(text=text, return_tensors="pt")

# Generate speech
speech = model.generate_speech(inputs["input_ids"], speaker_embedding, vocoder=vocoder)

# Save audio file
sf.write("output.wav", speech.numpy(), 16000)
```

## Demo

A live demo is available at [Hugging Face Spaces](https://huggingface.co/spaces/HAMMALE/darija-tts-demo)

## License

This model is available under the MIT License.

## Acknowledgments

- The [DODa audio dataset](https://huggingface.co/datasets/atlasia/DODa-audio-dataset) creators
- Microsoft Research for the SpeechT5 model architecture