Silent Speech Decoding Using Spectrogram Features Based on Neuromuscular Activities

Silent speech decoding is a novel application of the Brain–Computer Interface (BCI) based on articulatory neuromuscular activities, reducing difficulties in data acquirement and processing. In this paper, spatial features and decoders that can be used to recognize the neuromuscular signals are inves...

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Detalles Bibliográficos
Autores principales: Wang, You, Zhang, Ming, Wu, RuMeng, Gao, Han, Yang, Meng, Luo, Zhiyuan, Li, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407985/
https://www.ncbi.nlm.nih.gov/pubmed/32664599
http://dx.doi.org/10.3390/brainsci10070442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407985/
https://www.ncbi.nlm.nih.gov/pubmed/32664599
http://dx.doi.org/10.3390/brainsci10070442

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