ZLSCompLing / CoquiTTS-Max

huggingface.co
Total runs: 119
24-hour runs: 4
7-day runs: 28
30-day runs: 108
Model's Last Updated: January 30 2026
text-to-speech

Introduction of CoquiTTS-Max

Model Details of CoquiTTS-Max

Coqui TTS - Max (Luxembourgish Male Voice)

A VITS-based text-to-speech model for Luxembourgish, featuring a natural male voice.

Model Description

This model was trained using the Coqui TTS framework on Luxembourgish speech data from the Lëtzebuerger Online Dictionnaire (LOD) example sentences.

"Max" is a male Luxembourgish voice based on recordings from a real speaker.

Model Details
  • Architecture: VITS
  • Language: Luxembourgish (lb)
  • Speaker: Single speaker (male)
  • Sample Rate: 22050 Hz
  • Checkpoint: 50,000 steps
  • License: CC BY-NC 4.0 (Non-commercial use only)
License Notice

This model is for non-commercial use only. All commercial uses are prohibited. The voice data is derived from recordings of a real speaker and may only be used freely for non-commercial purposes.

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-max.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{zls2025coquimax,
  title={Coqui TTS Max - Luxembourgish Male Voice},
  author={Zenter fir d'Lëtzebuerger Sprooch},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/ZLSCompLing/CoquiTTS-Max}
}
Acknowledgments

Originally trained by Marco Barnig . Now developed and maintained 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-Max on huggingface.co

119
Total runs
4
24-hour runs
4
3-day runs
28
7-day runs
108
30-day runs

More Information About CoquiTTS-Max huggingface.co Model

More CoquiTTS-Max license Visit here:

https://choosealicense.com/licenses/cc-by-nc-4.0

CoquiTTS-Max huggingface.co

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

ZLSCompLing CoquiTTS-Max online free

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

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

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

CoquiTTS-Max install

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

CoquiTTS-Max install url in huggingface.co:

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

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Provider of CoquiTTS-Max huggingface.co

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