Skip to content
Afa' Afa'

Project

Oremi Andika

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

128 commits 1 contributor Updated Sep 2026

Overview

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 across multiple engines.

Built upon a unified speech recognition architecture, this module empowers the Oremi personal assistant to accurately transcribe spoken words into text using multiple backends (Vosk and Mega-ASR), facilitating effortless communication and interaction.

Drawing inspiration from the Swahili word for 'transcribe', Andika encapsulates the essence of transforming spoken language into written text. By embodying this linguistic concept, Oremi Andika not only facilitates efficient communication but also bridges the gap between spoken and written expression, empowering users to seamlessly interact with their personal assistant through natural speech while enjoying the convenience of textual representation.

Technology

  • automatic speech recognition (ASR)
  • Python
  • speech-to-text
  • stt

Repository information

Primary language
Python
Created
July 13, 2023
Last activity
September 19, 2026

Activity

Daily commits on the default branch, across the whole project history.

Daily commit activity over the project's whole history. Each cell is one day; darker cells mean more commits.
Mon Wed Fri

Contributors

Search articles and projects

Type to filter articles and projects. Use the arrow keys to move through results and Enter to open one. Press Escape to close.