30/04/2026
Physical AI Reads Spoken Digits Directly from Throat Vibrations — 96.8% Recognition without Preprocessing!
We are excited to announce that
ICYS Research Fellow Dr. Daiki NISHIOKA has published a new paper in Advanced Electronic Materials!
Title:
Ion-Gating Reservoir Computing for Preprocessing-Free Speech Recognition from Throat Vibrations
Research Highlights:
This study demonstrates a speech-recognition system that seamlessly integrates sensing and AI processing. Throat-surface vibrations during speech are detected by a throat-mounted π-gel-electret mechanoelectric generator (MEG) sensor and directly fed into an artificial intelligence device: an ion-gel/graphene-based ion-gating reservoir (IGR).
Unlike conventional microphone-based speech recognition, the system does not require frequency-domain analysis, handcrafted feature extraction, or other digital preprocessing. Instead, the nonlinear ion–electron dynamics inside the material device physically transform raw biomechanical vibration signals into features suitable for classification.
The system achieved 96.8% accuracy in spoken-digit recognition, highlighting its potential for compact and low-power edge-AI applications, including noise-resilient wearable speech interfaces, assistive communication technologies, and spoof-resistant biometric authentication based on throat-vibration signatures.
Publication:Advanced Electronic Materials
Author: Dr. Daiki NISHIOKA (ICYS Research Fellow)
[Read the full paper here]
https://doi.org/10.1002/aelm.202600006
This work presents a throat-mounted mechanoelectric sensor integrated with an ion-gel/graphene reservoir device for on-device speech recognition. The system converts raw biomechanical vibrations into...