Decoding silent speech from high-density surface electromyographic data using transformer-Reference-Cited by-同舟云学术

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Decoding silent speech from high-density surface electromyographic data using transformer

Published:2023-02 Issue: Volume:80 Page:104298
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Song Rui,Zhang Xu,Chen Xi,Chen Xiang,Chen Xun,Yang Shuang,Yin Erwei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference45 articles.

1. G. S. Meltzner et al., “Speech recognition for vocalized and subvocal modes of production using surface EMG signals from the neck and face,” in Proc. Annu. Conf. Int. Speech Commun. Assoc. INTERSPEECH, Sept. 2008.

2. Development of sEMG sensors and algorithms for silent speech recognition;Meltzner;J. Neural Eng.,2018

3. Speech interfaces based upon surface electromyography;Jorgensen;Speech Commun.,2010

4. Silent Speech Interfaces;Denby;Speech Commun.,2010

5. Biosignal-Based Spoken Communication: A Survey;Schultz;IEEE/ACM Trans. Audio Speech Lang. Process.,2017

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