Underjord

The author discusses building a voice-activated control system for a Raspberry Pi-based device using Elixir and practical machine learning models—specifically Voice-Activity Detection for filtering audio and Whisper for speech-to-text conversion—rather than resource-intensive LLMs, while noting that integrating these components requires wrestling with format compatibility issues and model version management but avoids the inefficiency of shuttling data to external Python services.

Visit Original Article →