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Local voice assistant pipeline — STT → LLM → TTS, 100% offline

Project description

VoxCore

Local voice assistant pipeline — STT → LLM → TTS, 100% offline.

Stack : faster-whisper + Qwen3.6 + Voxtral (ou Supertonic/Piper)

Installation :

pip install voxcore
voxcore --config config.yaml

Usage :

# Microphone → réponse vocale
voxcore live

# Audio file → texte
voxcore stt input.wav

# Texte → audio
voxcore tts "Hello world" -o output.mp3

Config : config.yaml dans le dossier courant ou ~/.config/voxcore/config.yaml

Architecture

  • stt/ — Speech-to-Text (faster-whisper)
  • llm/ — Local LLM (llama.cpp, vLLM, LM Studio)
  • tts/ — Text-to-Speech (Voxtral, Piper, Supertonic)
  • pipeline/ — Orchestration complète

Requirements

  • Python 3.10+
  • GPU NVIDIA recommandé (CUDA 12+)
  • RAM : 16GB minimum

License

MIT

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