Empowering seamless transcription with cutting-edge STT (Speech-to-Text) technology, revolutionizing interaction through accurate speech recognition
Project description
Oremi Andika
Oremi Andika serves as the foundational pillar of the Oremi project, introducing cutting-edge STT (Speech-to-Text) capabilities to enable seamless transcription of spoken language.
Built upon the robust Vosk Speech Recognition framework, this module empowers the Oremi personal assistant to accurately transcribe spoken words into text.
Documentation
All project documentation—including features, deployment steps, the speech-to-text WebSocket protocol details, the complete API Reference, and the Home Assistant integration guide can be found at: https://demsking.gitlab.io/oremi-andika/
License
Licensed under the Apache License, Version 2.0.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file oremi_andika-3.0.0b6-py3-none-any.whl.
File metadata
- Download URL: oremi_andika-3.0.0b6-py3-none-any.whl
- Upload date:
- Size: 40.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4007dd7376baaadd7bc2d999dd8142bef0672b9ed531d6cc01e9ab8696ca66da
|
|
| MD5 |
c453084a04816d43b8edf6d725f41503
|
|
| BLAKE2b-256 |
8b65a434dd9df24253190ee02ef9c4ea72c058927de7c8a11064b126387f0976
|
