Mms Tts Kor

🚀 Massively Multilingual Speech (MMS) : Text-to-Speech Models

This repository provides a Korean (kor) text-to-speech (TTS) model checkpoint, which is part of Facebook's Massively Multilingual Speech project aiming to offer speech technology across diverse languages.

🚀 Quick Start

This repository contains the Korean (kor) 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 Examples

Basic Usage

from transformers import VitsModel, VitsMmsTokenizer
import torch

model = VitsModel.from_pretrained("Matthijs/mms-tts-kor")
tokenizer = VitsMmsTokenizer.from_pretrained("Matthijs/mms-tts-kor")

text = "some example text in the Korean 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)

⚠️ Important Note

For this checkpoint, the input text must be converted to the Latin alphabet first using the uroman tool.

📄 License

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}
}