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...

詳細記述

書誌詳細

主要な著者:	You Wang, Ming Zhang, RuMeng Wu, Han Gao, Meng Yang, Zhiyuan Luo, Guang Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-07-01
シリーズ:	Brain Sciences
主題:	silent speech decoding neuromuscular signal spectrogram features Xception bidirectional long short-term memory
オンライン･アクセス:	https://www.mdpi.com/2076-3425/10/7/442
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!