Decoding Imagined Speech From EEG Using Transfer Learning

Decoding Imagined Speech From EEG Using Transfer Learning

We present a transfer learning-based approach for decoding imagined speech from electroencephalogram (EEG). Features are extracted simultaneously from multiple EEG channels, rather than separately from individual channels. This helps in capturing the interrelationships between the cortical regions....

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Bibliographic Details
Main Authors: Jerrin Thomas Panachakel, Ramakrishnan Angarai Ganesan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain–computer interface
transfer learning
electroencephalogram
speech imagery
imagined speech
Online Access:https://ieeexplore.ieee.org/document/9551930/

Internet

https://ieeexplore.ieee.org/document/9551930/

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