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.