<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, research focused on speech activity detection using brain EEG signals is presented. In addition to speech stimulation of brain activity, an innovative approach based on the simultaneous stimulation of the brain by visual stimuli such as reading and color naming has been used. Designing the solution, classification using two types of artificial neural networks were proposed: shallow Feed-forward Neural Network and deep Convolutional Neural Network. Experimental results of classification demonstrated F1 score 79.50% speech detection using shallow neural network and 84.39% speech detection using deep neural network based on cross-evaluated classification models.</p>
</abstract>

In this paper, research focused on speech activity detection using brain EEG signals is presented. In addition to speech stimulation of brain activity, an innovative approach based on the simultaneous stimulation of the brain by visual stimuli such as reading and color naming has been used. Designing the solution, classification using two types of artificial neural networks were proposed: shallow Feed-forward Neural Network and deep Convolutional Neural Network. Experimental results of classification demonstrated F1 score 79.50% speech detection using shallow neural network and 84.39% speech detection using deep neural network based on cross-evaluated classification models.

Neural Network Architecture for EEG Based Speech Activity Detection

Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Neural Network Architecture for EEG Based Speech Activity Detection"}

In this paper, research focused on speech activity detection using brain EEG signals is presented. In addition to speech stimulation of brain activity, an...

Neural Network Architecture for EEG Based Speech Activity Detection

Online veröffentlicht: 13. Apr. 2022

Seitenbereich: 9 - 13

Eingereicht: 12. Apr. 2021

Akzeptiert: 15. März 2022

DOI: https://doi.org/10.2478/aei-2021-0002

Schlüsselwörter
Electroencephalography, Brain-Computer Interface, Mobile EEG Device, Speech Detection, Visual Stimuli, Feed-Forward Neural Network, Convolutional Neural Network

© 2021 Marianna Koctúrová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Neural Network Architecture for EEG Based Speech Activity Detection

Online veröffentlicht: 13. Apr. 2022

Seitenbereich: 9 - 13

Eingereicht: 12. Apr. 2021

Akzeptiert: 15. März 2022

DOI: https://doi.org/10.2478/aei-2021-0002

SchlüsselwörterElectroencephalography, Brain-Computer Interface, Mobile EEG Device, Speech Detection, Visual Stimuli, Feed-Forward Neural Network, Convolutional Neural Network

© 2021 Marianna Koctúrová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Electroencephalography, Brain-Computer Interface, Mobile EEG Device, Speech Detection, Visual Stimuli, Feed-Forward Neural Network, Convolutional Neural Network