基于变压器的神经语音解码从表面和深度电极信号

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Updated: Jul 23, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

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Junbo Chen1, Xupeng Chen1, Ran Wang1

  • 1Electrical and Computer Engineering Department, New York University, 370 Jay Street, Brooklyn, NY 11201, United States of America.

Journal of neural engineering
|January 17, 2025
PubMed
概括

一个新的深度学习模型,SwinTW,使用任何电极类型和位置从神经信号解码语音. 这种灵活的模型在多个参与者之间实现了高精度,即使是在培训期间看不见的参与者也是如此.

关键词:
这是一个ECoG.电皮质谱电皮质谱图.神经语音解码 神经语音解码神经语音假肢神经语音假肢语音合成 语音合成

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