---
license: apache-2.0
datasets:
- BIA/moore-speech-dataset
language:
- mos
tags:
- text-to-speech
- tts
- moore
- burkina-faso
- african-languages
pipeline_tag: text-to-speech
---

# BIA-XTTSv2-moore-v0

## Model Description

BIA-XTTSv2-moore-v0 is a fine-tuned version of Coqui's XTTS v2 model specifically trained for **Moore language**, a Gur language spoken in Burkina Faso. This model enables high-quality text-to-speech synthesis for Moore speakers and supports various voice cloning capabilities.

## Language Information

- **Language**: Moore (Mooré) 
- **Language Code**: `mos`
- **Region**: Burkina Faso, West Africa
- **Speakers**: ~5 million native speakers
- **Language Family**: Niger-Congo → Gur → Oti-Volta → Moore



###  Usage

```python
import torch, torchaudio, os
import numpy as np

from   tqdm import tqdm
from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts         import Xtts

checkpoint_path = "checkpints"
model_path      = "best_model.pth"

device = "cuda:0" if torch.cuda.is_available() else "cpu"

xtts_checkpoint = os.path.join(checkpoint_path, model_path)
xtts_config     = os.path.join(checkpoint_path,"config.json")
xtts_vocab      = checkpoint_path+"vocab.json"

# Load model
config     = XttsConfig()
config.load_json(xtts_config)
XTTS_MODEL = Xtts.init_from_config(config)
XTTS_MODEL.load_checkpoint(config,
                           checkpoint_path = xtts_checkpoint,
                           vocab_path      = xtts_vocab,
                          
```

## Model Details

### Training Data
- **Dataset**: Curated Moore speech dataset
- **Hours**: High-quality Moore audio recordings 50 
- **Speakers**: Multiple native Moore speakers
- **Quality**: Studio and field recordings, carefully preprocessed

### Training Configuration
- **Base Model**: XTTS v2
- **Fine-tuning Steps**: 9,000+ steps OF BACT 
- **Batch Size**: 2 and gradient accumulation of 4
- **Learning Rate**: Adaptive scheduling
- **Hardware**: GPU-accelerated training


## Citation

If you use this model in your research, please cite:

```bibtex
@misc{bia-xtts-moore-v0,
  title={BIA-XTTSv2-moore-v0: A Fine-tuned XTTS Model for Moore Language},
  author={BIA Team},
  year={2024},
  howpublished={\url{https://huggingface.co/BIA/BIA-XTTSv2-moore-v0}}
}
```

## Acknowledgments

- **Coqui TTS** team for the original XTTS v2 architecture
- **Moore language community** in Burkina Faso
- **Data contributors** who provided high-quality recordings