---
license: mit
language:
  - lb
tags:
  - text-to-speech
  - tts
  - vits
  - coqui
  - luxembourgish
library_name: coqui
pipeline_tag: text-to-speech
---

# Coqui TTS - Maxine (Luxembourgish Female Voice)

A VITS-based text-to-speech model for Luxembourgish, featuring a synthetic female voice.

## Model Description

This model was trained using the [Coqui TTS](https://github.com/coqui-ai/TTS) framework on Luxembourgish speech data from the [Lëtzebuerger Online Dictionnaire (LOD)](https://lod.lu) example sentences.

"Maxine" is a synthetic female Luxembourgish voice created by modulating the original LOD recordings to produce a distinct female voice character.

### Model Details

- **Architecture:** VITS
- **Language:** Luxembourgish (lb)
- **Speaker:** Single speaker (female, synthetic)
- **Sample Rate:** 22050 Hz
- **Checkpoint:** ~90,000 steps
- **License:** MIT

## Usage

**Note:** Text should be lowercased before synthesis. Additional text normalization may be required.

```python
import torch
import scipy.io.wavfile as wavfile
from TTS.utils.synthesizer import Synthesizer

# Load the model
synthesizer = Synthesizer(
    tts_checkpoint="path/to/coqui-tts-maxine.pth",
    tts_config_path="path/to/config.json",
    use_cuda=torch.cuda.is_available()
)

# Generate speech
wav = synthesizer.tts("moien, wéi geet et dir?")

# Save to file
wavfile.write("output.wav", 22050, wav)
```

## Technical Specifications

| Parameter | Value |
|-----------|-------|
| Hidden Channels | 192 |
| Text Encoder Layers | 6 |
| Posterior Encoder Layers | 16 |
| Flow Layers | 4 |
| Mel Channels | 80 |
| FFT Size | 1024 |

## Citation

If you use this model, please cite:

```bibtex
@misc{zls2025coquimaxine,
  title={Coqui TTS Maxine - Luxembourgish Female Voice},
  author={Zenter fir d'Lëtzebuerger Sprooch},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/ZLSCompLing/CoquiTTS-Maxine}
}
```

## Acknowledgments

Developed by [Zenter fir d'Lëtzebuerger Sprooch](https://zls.lu).

Voice data sourced from the [Lëtzebuerger Online Dictionnaire (LOD)](https://lod.lu). The original audio files are available via the [LOD linguistic data on data.public.lu](https://data.public.lu/en/datasets/letzebuerger-online-dictionnaire-lod-linguistesch-daten/), which provides an XML file containing example sentence IDs. Audio files can be accessed at:

```
https://lod.lu/uploads/examples/AAC/{folder}/{id}.m4a
```

where `{folder}` is the first 2 characters of `{id}`.

This model is used in [Sproochmaschinn](https://sproochmaschinn.lu), a Luxembourgish speech processing platform.