speech software engineers

Abstract: Everyday household information is often exchanged in conversations but never written down, making details easy to forget or misremember. We present a voice-enabled smart-home assistant that acts as a household memory by recording conversations and retrieving information from stored and newly captured speech. The assistant runs on an Android tablet with a modular architecture in which speech-recognition, diarisation, embedding and language models can be configured or replaced through an orchestration layer. On-device wake-word detection and VAD-based query capture support hands-free interaction. Recorded audio is processed in configurable chunks, transcribed and diarised, converted into turn-aware passages with conversation-level timestamps, and indexed in a vector store. For memory queries, a retrieval-augmented generation pipeline selects key passages and uses them to generate an answer. The interface supports recording, conversation management and inspection of timestamped sources.