Encoder-Decoder Architectures for Silent Speech Recognition based on High-density Surface Electromyogram

Silent speech based on surface electromyogram(sEMG) has become an important interaction method. However, existing systems are highly dependent on time-alignment data, which is not conducive to the wide application of silent speech recognition (SSR) systems. In this study, we propose a convolutional...

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Bibliographic Details

Published in:	2022 International Conference on Advanced Robotics and Mechatronics (ICARM) pp. 760 - 763
Main Authors:	Chen, Xi, Zhang, Xu, Chen, Xiang, Chen, Xun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.07.2022
Subjects:	Electrodes Error analysis Face recognition Mechatronics Memory architecture Speech recognition Training data
Online Access:	Get full text
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