![Oracle Drags Its Feet in the JavaScript Trademark Dispute](https://cdn.sanity.io/images/cgdhsj6q/production/919c3b22c24f93884c548d60cbb338e819ff2435-1024x1024.webp?w=400&fit=max&auto=format)
Security News
Oracle Drags Its Feet in the JavaScript Trademark Dispute
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
ASRecognition: just an easy-to-use library for Automatic Speech Recognition.
I have no intention of building a very complex toolkit for speech recognition here. In fact, this library uses a lot of things already built by the Hugging Face (Thank you guys!). I just wanna have an easy-to-use interface to add speech recognition features to my apps. I hope this library could be useful for someone else too :)
The currently supported languages are Arabic (ar), German (de), Greek (el), English (en), Spanish (es), Persian (fa), Finnish (fi), French (fr), Hungarian (hu), Italian (it), Japanese (ja), Dutch (nl), Polish (pl), Portuguese (pt), Russian (ru), Chinese (zh-CN).
$ pip install asrecognition
from asrecognition import ASREngine
# 1 - Load the ASR engine for a given language (on the first run it may take a while)
asr = ASREngine("en")
# 2 - Use the loaded ASR engine to transcribe a list of audio files
audio_paths = ["/path/to/sagan.mp3", "/path/to/asimov.wav"]
transcriptions = asr.transcribe(audio_paths)
# 3 - Voilà!
print(transcriptions)
# [
# {"path": "/path/to/sagan.mp3", "transcription": "EXTRAORDINARY CLAIMS REQUIRE EXTRAORDINARY EVIDENCE"},
# {"path": "/path/to/asimov.wav", "transcription": "VIOLENCE IS THE LAST REFUGE OF THE INCOMPETENT"}
# ]
See the contribution guidelines if you'd like to contribute to ASRecognition project.
You don't even need to know how to code to contribute to the project. Even the improvement of our documentation is an outstanding contribution.
If this project has been useful for you, please share it with your friends. This project could be helpful for them too.
If you like this project and want to motivate the maintainers, give us a :star:. This kind of recognition will make us very happy with the work that we've done with :heart:
If you want to cite the tool you can use this:
@misc{grosman2021asrecognition,
title={ASRecognition},
author={Grosman, Jonatas},
publisher={GitHub},
journal={GitHub repository},
howpublished={\url{https://github.com/jonatasgrosman/asrecognition}},
year={2021}
}
FAQs
ASRecognition: just an easy-to-use library for Automatic Speech Recognition.
We found that asrecognition demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
Security News
The Linux Foundation is warning open source developers that compliance with global sanctions is mandatory, highlighting legal risks and restrictions on contributions.
Security News
Maven Central now validates Sigstore signatures, making it easier for developers to verify the provenance of Java packages.