Home Projects zamia-speech
zamia-speech
Python

zamia-speech

Open tools and data for cloudless automatic speech recognition

by gooofy · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
asrcmu-sphinxkaldiLGPL-3.0Python
View on GitHub
In plain words

Build automatic speech recognition models using provided Python scripts and speech data.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
zamia-speech — GitHub preview card
📈 Star history
449448
2026-07-202026-08-31
📈 Track zamia-speech

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Open tools and data for cloudless automatic speech recognition

zamia-speech has 448 stars on GitHub. It has been forked 85 times. zamia-speech is written mainly in Python. It has been in active development since 2017. zamia-speech is available under the LGPL-3.0 license. Its main topics are asr, cmu-sphinx, kaldi, language-model.

Frequently asked questions

What is zamia-speech?

Open tools and data for cloudless automatic speech recognition

Is zamia-speech open source?

zamia-speech is an open-source project. It is released under the LGPL-3.0 license.

Is zamia-speech free?

Yes. zamia-speech is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does zamia-speech use?

zamia-speech is available under the LGPL-3.0 license.

What language is zamia-speech written in?

zamia-speech is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — zamia-speech

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=gooofy-zamia-speech)](https://olud.ai/project/gooofy-zamia-speech.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.