MyanmarTTS

MyanmarTTS

Turns Burmese text into spoken audio with a small 31M-parameter model, in a Gradio app you can run in the browser. Suits creators, teachers and developers working in Burmese.

Made by freococo 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: MyanmarTTS reads Burmese text aloud. The model has 31 million parameters and is released into the public domain under CC0 1.0. This Space is a Gradio demo of it, so you can try the voice in a browser with nothing to install. A Python package of the same name is also available.

Who it suits: It suits anyone who needs Burmese speech from written text, and developers who want to add it to their own software.

Industry | Who uses it | How they use it | Example
Media | Content creators | Turn a written script into a spoken draft in Burmese | Hear a short narration before recording a human voice
Education | Teachers and language learners | Listen to Burmese text read aloud | Play a reading passage while following the words
Accessibility | Developers | Build reading aids for people who prefer to listen | Add spoken output to a Burmese app
Software | Developers | Call the speech model from their own code | Install the Python package and test it

Skip it if you need other languages or a cloned voice, since the source describes only Burmese speech.

Where to use it:

• A browser: open the Space's page on Hugging Face, with nothing to install
• A copy on Windows, macOS or Linux, using Python
• Your own Python projects, through the package of the same name

Use case | Who | What they get back
Hearing a script | Creators | Spoken audio of the Burmese text you type
Listening practice | Learners | Written Burmese read aloud
Adding speech to an app | Developers | A small model with a public domain license

How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following.

• Python with pip on Windows, macOS or Linux
• The Hugging Face hub client, which the first step installs
• The packages listed in requirements.txt

1. Install the Hugging Face hub client.
2. Download the Space's files into a local folder.
3. Move into that folder.
4. Install the Gradio version the Space pins.
5. Install the remaining packages from requirements.txt.
6. Start app.py.

pip install -U huggingface_hub
hf download freococo/MyanmarTTS --repo-type space --local-dir MyanmarTTS
cd MyanmarTTS
pip install gradio==6.29.0
pip install -r requirements.txt
python app.py

To use the model in your own code, install the package instead.

pip install myanmartts

How to use it: Online, open the Space's page, type or paste Burmese text and run it to hear the audio. On your own computer, start the app with the command below. The source does not describe the controls or the package's functions, so follow the page's labels.

python app.py

Example: You paste a short Burmese sentence into the Space and run it. The Space plays back spoken audio of that sentence. The source gives no figures on voice quality or speed.

For newcomers and experts: If you are new, open the Space online and try one short sentence first. Listen, then lengthen the text a little at a time.

If you know the field, it is a compact text-to-speech model with 31M parameters and a CC0 license, hosted on zero-a10g hardware at Hugging Face. A small model keeps it light to run, but the source gives no quality measurements, so listen before relying on it.

You open the Space or run app.py
You type or paste Burmese text
The model turns the text into speech
You hear the audio

Good to know: The source is short, so supported voices and limits are not described.

• License: cc0-1, a public domain dedication
• Cost to run: no API key or paid service is named, and the online copy runs on zero-a10g hardware at Hugging Face
• Data it reaches: the text you type, which the online Space handles on Hugging Face's servers, and a local copy downloads the Space's files
• Not for: the source lists no exclusions, so get permission before voicing text that belongs to someone else

On Hugging Face, 13 November 2026

• Likes: 3
• Built with: gradio
• License: cc0-1.0

Links

• Space: https://huggingface.co/spaces/freococo/MyanmarTTS
• Files: https://huggingface.co/spaces/freococo/MyanmarTTS/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.