Tamazight Text-to-Speech

Tamazight Text-to-Speech

Reads Tamazight text aloud with text-to-speech models, with separate folders for several varieties and scripts. For learners, researchers and builders working on Amazigh languages.

Made by ayymen 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 Gradio Space turns Tamazight text into speech. Its repository keeps separate folders for several varieties and scripts, named kab, shi, taq, rif-script_arabic, rif-script_latin and ttq-script_tifinagh. The README is only the Hugging Face configuration pointer, so the controls are not described there.

Who it suits: It suits learners and speakers of Amazigh languages who want to hear written text read aloud. It also suits researchers and developers working on speech tools for these languages.

Industry | Who uses it | How they use it | Example
Education | Language learners | Hear written Tamazight spoken | Type a short phrase and play it
Research | Language-technology researchers | Compare voices for different varieties | Try the same text in two scripts
Culture | Community groups | Prepare spoken material for a language project | Generate audio for a short text
Software | Developers | Study a multi-variety TTS app | Read app.py and the model folders

Anyone who needs a language outside the folders listed can skip it, since the source names no others.

Where to use it: The demo runs in two places.

• A web browser, on the page of the Space at Hugging Face
• Windows, macOS or Linux, as a local copy run with Python

Use case | Who | What they get back
Read-aloud | Learners | Spoken audio from typed Tamazight text
Variety testing | Researchers | Speech from the voice folders for each variety
Code study | Developers | A repository with the app and one folder per variety or script

How to set it up: The online page needs nothing installed. A local copy needs the following.

• Python and pip
• Windows, macOS or Linux
• The packages listed in requirements.txt
• The system packages listed in packages.txt, which the Space installs with apt-get

1. Install Python.
2. Install the Hugging Face hub package and download a copy of the Space.
3. Move into the new folder and install Gradio 3.32.0 and the packages in requirements.txt.
4. Start the app with python app.py.

pip install -U huggingface_hub
hf download ayymen/Amazigh-tts --repo-type space --local-dir Amazigh-tts
cd Amazigh-tts
pip install gradio==3.32.0
pip install -r requirements.txt
python app.py

How to use it: Open the page, type the text you want spoken, choose the variety or voice if the page offers one, and play the audio. The source does not describe the controls. On a local copy, this command starts the page.

python app.py

Tool | What it does
app.py | Holds the Gradio page
Variety folders | Hold the voice files for kab, shi, taq and the Rif and Tifinagh variants
requirements.txt | Lists the Python packages the app needs
packages.txt | Lists the system packages installed with apt-get

Example: You type a short Tamazight sentence into the text box and run it. The page returns an audio clip of that sentence spoken by one of the voices, which you can replay.

For newcomers and experts: If you are new to this, start with a short phrase and listen to the result. Then try the same phrase with another voice if the page lets you pick one.

If you know the field, the repository is organized by variety and script, with separate folders for Kabyle-style, Shilha-style, Tamasheq-style, Rif and Tifinagh material by name. The page documents no model architecture, so read app.py and the folders to see how a voice is loaded.

Type Tamazight text
The page selects a voice
The TTS model speaks it
Audio plays in the page

Good to know: The README holds no description, so details are best read from the code. The Space runs on basic CPU hardware.

• License: CC BY 4.0
• Cost to run: none named
• Data it reaches: the text you type, and the voice files in the repository
• Hardware: basic CPU at Hugging Face

On Hugging Face, 13 November 2026

• Likes: 41
• Built with: gradio
• License: cc-by-4.0

Links

• Space: https://huggingface.co/spaces/ayymen/Amazigh-tts
• Files: https://huggingface.co/spaces/ayymen/Amazigh-tts/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.