Tabla Transcriber

Tabla Transcriber

Works on tabla audio with a saved model in a Gradio page, with sample recordings named after tabla rhythms. For tabla students and music-tech hobbyists.

Made by HridayKharpude 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: Tabla Transcriber is a Gradio app for tabla audio. By its name it transcribes tabla playing. It ships a saved model file, TTM_model.h5, and sample recordings named after rhythm cycles such as Trital, Ektal and Jhaptal.

Who it suits: It suits tabla students, teachers and music-technology hobbyists who want to see a model work on drumming audio. The record does not describe the output, so open the page to see what the app returns.

Industry | Who uses it | How they use it | Example
Music education | Tabla students and teachers | Hear a sample and see what the app makes of it | Play a Trital sample and check the result
Music technology | Audio hobbyists | Try a model on percussion audio | Compare two samples of the same rhythm
Software | Python developers | Read a small audio demo with a saved model | Open app.py next to TTM_model.h5

You can skip it if your audio is not tabla.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• Windows, macOS or Linux with Python, from a downloaded copy

Use case | Who | What they get back
Try the bundled samples | Anyone | The app's result for a sample recording
Check your own tabla clip | Students | The model's output for your audio
Reuse as a base | Developers | A small audio app with a model file and samples

How to set it up:

• Nothing at all if you use the online Space
• Python on your computer, only if you run a copy
• The packages listed in requirements.txt
• System packages from packages.txt, which Hugging Face installs with apt-get

1. Open the Space's page in a browser to use it with nothing to install.
2. To run a copy, install the Hugging Face Hub package and download the Space.
3. Move into the new folder, then install Gradio and the listed requirements.
4. Start the app with Python.

pip install -U huggingface_hub
hf download HridayKharpude/Tabla-Transcriber --repo-type space --local-dir Tabla-Transcriber
cd Tabla-Transcriber
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The sample recordings in the repository are the quickest way to try it.

python app.py

Example: You open the Space and run it on one of the sample recordings, such as a Trital clip. The app returns the model's result for that audio. The record does not describe the result, so look at the page.

For newcomers and experts: Tabla is a pair of Indian hand drums, and a transcriber turns the playing into a written form. Start by opening the Space and running one of the bundled samples.

If you know the field, the app serves a saved model from an .h5 file through Gradio, with system packages listed in packages.txt. The record gives no training data or accuracy figures, so test it on your own recordings.

You choose a sample or give a tabla clip
The Gradio page sends the audio to app.py
The model in TTM_model.h5 processes it
The page shows the result

Good to know:

• License: afl-3, as listed on the Space
• Cost to run: none named
• Data it reaches: the audio you give it and the sample recordings in the repository
• Not for: the record names no exclusions, and gives no accuracy figures

On Hugging Face, 13 November 2026

• Likes: 10
• Built with: gradio
• License: afl-3.0

Links

• Space: https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber
• Files: https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber/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.