Voice Clone Multilingual

Voice Clone Multilingual

A Gradio app for cloning a voice and speaking in 16 languages, built on Bark, Tortoise TTS and related speech models. For developers and creators testing voice cloning.

Made by skwow0w9 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a voice cloning app built with Gradio. Its name and settings point to speech in a cloned voice across 16 languages, using open speech models such as Bark and Tortoise TTS. The repository carries a full speech synthesis code folder next to the app.

Who it suits: Developers and creators who want to try open voice cloning, and researchers who want to see how several speech models are wired together.

Industry | Who uses it | How they use it | Example
Media | Video and audio creators | Try a cloned voice for narration in another language | Test one voice sample with a short script
Software | Speech developers | Study how Bark and Tortoise parts fit together | Read app.py and the TTS folder
Education | Language teachers | Hear a sentence in different languages | Try the same sentence in two languages
Research | Speech researchers | Compare open voice cloning components | Review the models the Space names

If you need a studio grade voice with clear licensing for commercial work, check each model's terms first.

Where to use it: It runs in two places.

• A web browser, on the Space's page at Hugging Face with nothing to install
• A local copy on Windows, macOS or Linux, which needs Python

Use case | Who | What they get back
Try voice cloning | Creators | Speech in a cloned voice from a short sample
Switch language | Teachers and creators | Your text read aloud in a language picked from the list
Study the code | Developers | A speech synthesis codebase and a Gradio front end

How to set it up: Using it online needs nothing. A local copy needs a few things.

• Python and pip
• The packages listed in requirements.txt

1. Install the Hugging Face tools.
2. Download the Space into a folder.
3. Move into that folder.
4. Install Gradio and the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download skwow0w9/Voice-Clone-Multilingual --repo-type space --local-dir Voice-Clone-Multilingual
cd Voice-Clone-Multilingual
pip install gradio==4.36.1
pip install -r requirements.txt
python app.py

How to use it: Open the Space page, add a voice sample and the text you want spoken, and choose a language. The page returns speech in the cloned voice. In a local copy, run python app.py to open the same page on your own computer.

Example: You add a short recording of your own voice and type a sentence in Spanish. The page returns that sentence spoken in a voice modeled on your sample.

For newcomers and experts: Voice cloning copies the sound of a voice from a sample. Start with your own voice and a short sentence, and use only voices you have the right to use.

The Space names Bark, a Bark voice cloning model, Tortoise TTS v2, Tacotron symbols, HuBERT base and wav2vec2 large 960h. The repository also holds a TTS folder, setup.py and several requirements files. It runs on basic CPU hardware at Hugging Face.

You add a voice sample and text
Speech models analyze the sample
The synthesis code speaks the text
The cloned voice audio comes back

Good to know: The README only lists languages, so quality, sample length and limits are not described.

• Languages: Russian, English, Chinese, Japanese, German, French, Italian, Portuguese, Polish, Turkish, Korean, Dutch, Czech, Arabic, Spanish and Hungarian
• License: MIT
• Cost to run: none named
• Data it reaches: the voice samples and text you give it

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/skwow0w9/Voice-Clone-Multilingual
• Files: https://huggingface.co/spaces/skwow0w9/Voice-Clone-Multilingual/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.