npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

yoruba-tts

v1.0.4

Published

A wrapper for a Yoruba TTS Model

Downloads

8

Readme

Yoruba Text-to-Speech Package

A simple Node.js package to generate speech from text using the Meta's mms-tts-yor model on HuggingFace API. It is also possible to make use of another model which might be more advance than this one.

Installation

npm install yoruba-tts

Usage

Remember to get your API token from HuggingFace and put in the .env file in the root of your project.

TTS_MODEL_URL=https://api-inference.huggingface.co/models/facebook/mms-tts-yor
HUGGINGFACE_API_KEY=
import { generateSpeech } from 'yoruba-tts'

const text = "Mo fẹ́ràn Èdè Yorùbá";
const outputPath = "./output.flac";
generateSpeech(text, outputPath);

The output will be a flac file in the location specified.

Sample Audio

Sample Audio: feran.flac

Credit

The credit for the model belongs to Vineel Pratap et al. from Meta AI.

@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}
}

Contact

The author can be contacted for feedback at Surajudeen Akande

License

MIT License