Poster Unvoiced: Designing an Unvoiced User Interface using Earables and LLMs

This poster presents the design and implementation of Unvoiced, a silent speech interaction system. Unvoiced transforms subtle jaw movements into rich speech spectrograms, enabling seamless and private device interaction. Our system captures low-frequency jaw motion signals using ear-worn IMUs and translates them into high-fidelity mel-spectrograms through cross-modal translation techniques. By incorporating phonetic, contextual, and syntactic information, Unvoiced generates high-fidelity spectrograms that existing speech recognition systems can process. In our evaluation with 19 users across four common tasks, Unvoiced achieved a remarkable >94% task completion rate and <9% Word Error Rate (WER) for over 90% of phrases, maintaining robust performance even in noisy conditions.