SVIT‐SSR: A sEMG‐based vision transformer approach for silent speech recognition

Abstract Silent speech recognition (SSR) based on surface electromyography (sEMG) is a voice interaction technology proposed for scenarios requiring silent operations. This article abstracts the SSR task based on sEMG into a short‐term image sequence classification task. Time‐frequency domain featur...

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Bibliographic Details
Main Authors: Zhao Li, Bin Ma, Weifan Mao, Jianxing Zhang, Zhuting Yu, Yizhou Lu
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Electronics Letters
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Online Access:https://doi.org/10.1049/ell2.13285
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