Skip to main content

Empowering seamless transcription with cutting-edge STT (Speech-to-Text) technology, revolutionizing interaction through accurate speech recognition

Project description

Oremi Andika

Buy me a beer

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oremi_andika-3.0.0b7-py3-none-any.whl (40.2 kB view details)

Uploaded Python 3

File details

Details for the file oremi_andika-3.0.0b7-py3-none-any.whl.

File metadata

  • Download URL: oremi_andika-3.0.0b7-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

Hashes for oremi_andika-3.0.0b7-py3-none-any.whl
Algorithm Hash digest
SHA256 372dbccd17177fb50bd266bab09d7988ccfc0d7aa8406d456387caecb355c406
MD5 5184ed0af8a70dbbf661a084a17aead3
BLAKE2b-256 dd5c4e006fb35605b5064b92040e44a3599b8df07711cc058513fc8524e4979a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page