ZLSCompLing / CoquiTTS-Maxine

huggingface.co
Total runs: 149
24-hour runs: 7
7-day runs: 57
30-day runs: 136
Model's Last Updated: January 30 2026
text-to-speech

Introduction of CoquiTTS-Maxine

Model Details of CoquiTTS-Maxine

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 framework on Luxembourgish speech data from the Lëtzebuerger Online Dictionnaire (LOD) 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.

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:

@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 .

Voice data sourced from the Lëtzebuerger Online Dictionnaire (LOD) . The original audio files are available via the LOD linguistic data on data.public.lu , 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 , a Luxembourgish speech processing platform.

Runs of ZLSCompLing CoquiTTS-Maxine on huggingface.co

149
Total runs
7
24-hour runs
13
3-day runs
57
7-day runs
136
30-day runs

More Information About CoquiTTS-Maxine huggingface.co Model

More CoquiTTS-Maxine license Visit here:

https://choosealicense.com/licenses/mit

CoquiTTS-Maxine huggingface.co

CoquiTTS-Maxine huggingface.co is an AI model on huggingface.co that provides CoquiTTS-Maxine's model effect (), which can be used instantly with this ZLSCompLing CoquiTTS-Maxine model. huggingface.co supports a free trial of the CoquiTTS-Maxine model, and also provides paid use of the CoquiTTS-Maxine. Support call CoquiTTS-Maxine model through api, including Node.js, Python, http.

ZLSCompLing CoquiTTS-Maxine online free

CoquiTTS-Maxine huggingface.co is an online trial and call api platform, which integrates CoquiTTS-Maxine's modeling effects, including api services, and provides a free online trial of CoquiTTS-Maxine, you can try CoquiTTS-Maxine online for free by clicking the link below.

ZLSCompLing CoquiTTS-Maxine online free url in huggingface.co:

https://huggingface.co/ZLSCompLing/CoquiTTS-Maxine

CoquiTTS-Maxine install

CoquiTTS-Maxine is an open source model from GitHub that offers a free installation service, and any user can find CoquiTTS-Maxine on GitHub to install. At the same time, huggingface.co provides the effect of CoquiTTS-Maxine install, users can directly use CoquiTTS-Maxine installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

CoquiTTS-Maxine install url in huggingface.co:

https://huggingface.co/ZLSCompLing/CoquiTTS-Maxine

Url of CoquiTTS-Maxine

CoquiTTS-Maxine huggingface.co Url

Provider of CoquiTTS-Maxine huggingface.co

ZLSCompLing
ORGANIZATIONS

Other API from ZLSCompLing