CNN Architectures and Feature Extraction Methods for EEG Imaginary Speech Recognition

CNN Architectures and Feature Extraction Methods for EEG Imaginary Speech Recognition

Speech is a complex mechanism allowing us to communicate our needs, desires and thoughts. In some cases of neural dysfunctions, this ability is highly affected, which makes everyday life activities that require communication a challenge. This paper studies different parameters of an intelligent imag...

Full description

Bibliographic Details
Main Authors: Ana-Luiza Rusnac, Ovidiu Grigore
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
imaginary speech
convolutional neural network
electroencephalography
signal processing
Kara One database
Online Access:https://www.mdpi.com/1424-8220/22/13/4679

Internet

https://www.mdpi.com/1424-8220/22/13/4679

Similar Items