Request access to mos-mms-tts

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

mos-mms-tts is a GO AI Corp model shared for non-commercial research (CC BY-NC 4.0). Commercial use needs written permission from contact@goaicorporation.org. Please read the card, its terms and licenses before requesting access, and make sure you understand them.

Log in or Sign Up to review the conditions and access this model content.

mos-mms-tts

Mooré text-to-speech: MMS-TTS (VITS) fine-tuned by GO AI Corp.

Task Text-to-speech, Mooré (mos)
Base model MMS-TTS (VITS); the starting checkpoint was not recorded, most likely facebook/mms-tts-mos
Training data Not recorded
Published July 2024 (updated August 2024)
Related Served by the product endpoint mos-tts

Résumé en français. Synthèse vocale en mooré : MMS-TTS (VITS) affiné par GO AI Corp. Le point de départ n'a pas été noté (très probablement facebook/mms-tts-mos), pas plus que les données d'entraînement. Publié en juillet 2024 (mis à jour en août 2024) ; c'est le modèle servi par le point d'accès mos-tts. Licence CC BY-NC 4.0 ; tout usage commercial demande l'autorisation écrite de contact@goaicorporation.org. Accès sur demande.

Quick start

import torch, scipy.io.wavfile
from transformers import VitsModel, AutoTokenizer

name = "goaicorp/mos-mms-tts"
model, tok = VitsModel.from_pretrained(name), AutoTokenizer.from_pretrained(name)
with torch.no_grad():
    wav = model(**tok("Ne y yibeoogo.", return_tensors="pt")).waveform[0].numpy()
scipy.io.wavfile.write("out.wav", model.config.sampling_rate, wav)

Evaluation

Test set CER (ASR loopback) UTMOS Speaker similarity
Mooré held-out set (to be fixed) pending pending pending

CER is measured by transcribing the synthetic speech with a fixed Mooré ASR model.

Limits

  • Training data is not documented.
  • One voice; no voice cloning.

License

CC BY-NC 4.0. Commercial use needs written permission from contact@goaicorporation.org.

Citation

@misc{goaicorp2024mosmmstts,
  title        = {mos-mms-tts: Mooré text-to-speech with MMS-TTS},
  author       = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
  year         = {2024},
  howpublished = {Hugging Face Models, GO AI Corp},
  url          = {https://huggingface.co/goaicorp/mos-mms-tts}
}

Developed and maintained by

Downloads last month
8
Safetensors
Model size
36.3M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for goaicorp/mos-mms-tts

Finetuned
(2)
this model
Finetunes
1 model

Spaces using goaicorp/mos-mms-tts 2