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Oremi Andika

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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.

Oremi Andika Logo

Features

  • Real-Time Streaming: Stream audio bytes directly to the server and receive recognition results incrementally with boundary overlap deduplication.
  • Extensible STT Platform: Clean abstraction separating application logic from specific speech recognition backends.
  • Multiple STT Backends: Native support for Vosk and Mega-ASR.
  • Audio Quality Routing & LoRA Switching: Dynamic routing of noisy/degraded audio using an audio quality router and zero-latency LoRA delta switching.
  • vLLM Acceleration: Ultra-fast KV-cache streaming inference with materialized LoRA checkpoints.
  • Privacy-First: Operates completely offline without external cloud API dependencies.
  • Docker Support: Ready-to-use Docker images for easy orchestration on CPU or GPU.
  • Home Assistant Integration: Standard-compliant integration with Home Assistant's Assist voice pipeline.

Documentation

Full documentation, including setup guides, API reference, and integrations, is available at: demsking.gitlab.io/oremi-andika

License

Copyright 2023-2026 Sébastien Demanou. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://gitlab.com/demsking/oremi-andika/-/blob/main/LICENSE

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Metadata

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