Multilingual TTS

Multilingual TTS

A multilingual text-to-speech demo from Flux9665 whose repository is named IMS-Toucan, with reference audio clips and speaker recognition models. For people who want to try open speech synthesis in a browser.

Made by Flux9665 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: Multilingual TTS is a text-to-speech demo from Flux9665, and its repository is named IMS-Toucan. The code folders cover inference, layers, models, preprocessing and utilities, and a reference audio folder is included. The Space also names two SpeechBrain speaker recognition models. The README carries only the standard Space settings text.

Who it suits: It suits people who want to hear speech synthesis from an open toolkit and developers who want to see how such a toolkit is organized.

Industry | Who uses it | How they use it | Example
Research | Speech researchers | Try an open TTS toolkit | Type a sentence and listen to the audio
Education | Language learners | Hear written text read aloud | Listen to a short passage in a chosen language
Development | Developers | Study how inference and preprocessing are laid out | Read app.py and the folder structure

You can skip it if you need a documented production voice service, since the source lists no languages or quality figures.

Where to use it:

• A web browser, on the Space's page at Hugging Face
• Your own computer, on Windows, macOS or Linux

Use case | Who | What they get back
Hear text spoken | Anyone | Audio made from the text you type
Try reference voices | Researchers | A look at how the included reference clips are used
Study the toolkit | Developers | A full TTS code layout in one repository

How to set it up:

• Nothing to install if you use the Space online
• Python, if you run a copy on your own computer
• The Python packages in requirements.txt
• The system packages in packages.txt, which Hugging Face installs with apt-get

1. Open the Space's page on Hugging Face to use it online.
2. To run a copy, install huggingface_hub and download the Space into a folder. It holds dozens of files.
3. Move into that folder and install the pinned Gradio version, then the listed packages.
4. Start the app with Python.

pip install -U huggingface_hub
hf download Flux9665/IMS-Toucan --repo-type space --local-dir IMS-Toucan
cd IMS-Toucan
pip install gradio==2.7.5.2
pip install -r requirements.txt
python app.py

How to use it: Open the Space, type the text you want spoken and run it. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints. The Gradio release is old, so keep to the pinned version.

python app.py

Example: Open the Space online and type a short sentence in a language it offers. You get audio of the sentence back, though the README does not list the languages or voices.

For newcomers and experts: If you are new, type one short sentence and listen to the result. Then try another language if the page offers one.

If you know the field, the repository follows a toolkit layout with separate folders for layers, models, preprocessing and inference. The two SpeechBrain speaker recognition models hint at voice matching from reference audio. The README gives no architecture, language list or evaluation, so check the repository before depending on it.

You type the text
The app prepares it for the model
The TTS model builds the audio
The page plays the speech

Good to know:

• License: apache-2
• Cost to run: none named. The online Space runs on Hugging Face.
• Data it reaches: the text you type, and the models it names on Hugging Face.
• Limits: it needs an old Gradio release, and no language or quality details are given.

On Hugging Face, 13 November 2026

• Likes: 46
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Flux9665/IMS-Toucan
• Files: https://huggingface.co/spaces/Flux9665/IMS-Toucan/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.