superasymmetry/pronounce-assess — explained in plain English
Analysis updated 2026-05-18
Add live pronunciation feedback to a language learning app as a user speaks a sentence.
Score recorded audio clips against a reference sentence to flag mispronounced sounds.
Build a microphone-based pronunciation practice demo using the included example scripts.
| superasymmetry/pronounce-assess | 1038lab/agnes-ai | 3eyedtiger/video2vrcemote | |
|---|---|---|---|
| Stars | 4 | 4 | 4 |
| Language | Python | Python | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | developer | vibe coder | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Works on CPU but real-time use is much faster and smoother with a GPU.
pronounce-assess is a Python library that checks how well someone pronounces words in real time. The author built it because there were not many open tools for this, pointing to a couple of paid cloud services as the closest existing options. You install it with a simple pip command. To use it, you create an assessor object, which loads the underlying model and automatically decides whether to run on your graphics card or your regular processor. You give it a reference sentence, which it converts into the expected sounds a speaker should make, then stream in chunks of audio as someone speaks. For each chunk, it returns the sound it detected, a label, and a score, so you can build a live pronunciation feedback experience such as a language learning app. The library notes that real time assessment works much better with a graphics card, and while it still works on a regular processor, it will be noticeably slower. The lower level building blocks used to load the model, convert text to sounds, and stream results are all available separately if you want more control than the simple assessor object gives you. The audio input can come from a file, a live microphone, a websocket connection, or any other source that provides small chunks of numeric audio data. The project includes example scripts for trying it with a live microphone and with a Gradio based web demo, along with basic instructions for setting up a development environment and running its test suite. The license is MIT.
pronounce-assess is a Python library for real-time pronunciation scoring, comparing spoken audio against a reference sentence and returning per-sound scores.
Mainly Python. The stack also includes Python, PyPI.
MIT license: use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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