Massively Multilingual Speech (MMS) : Text-to-Speech Models
This repository contains the Abidji (abi) language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview.
Usage
Using this checkpoint from Hugging Face Transformers:
from transformers import VitsModel, VitsMmsTokenizer
import torch
model = VitsModel.from_pretrained("Matthijs/mms-tts-abi")
tokenizer = VitsMmsTokenizer.from_pretrained("Matthijs/mms-tts-abi")
text = "some example text in the Abidji language"
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
output = model(**inputs)
from IPython.display import Audio
Audio(output.audio[0], rate=16000)
Model credits
This model was developed by Vineel Pratap et al. and is licensed as CC-BY-NC 4.0
@article{pratap2023mms,
title={Scaling Speech Technology to 1,000+ Languages},
author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli},
journal={arXiv},
year={2023}
}
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