TY - JOUR
T1 - Brain Computer Interface for Speech Synthesis Based on Multilayer Differential Neural Networks
AU - Llorente, Dusthon
AU - Ballesteros, Mariana
AU - Cruz-Ortiz, David
AU - Salgado, Ivan
AU - Chairez, Isaac
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - This manuscript proposes the design of a speech synthesis algorithm based on measured electroencephalographic (EEG) signals previously classified by a class of neural network with continuous dynamics. A novel multilayer differential neural network (MDNN) classifies a database with the EEG studies of 20 volunteers. The database contains information described by input-output pairs corresponding to EEG signals and a corresponding word imagined by the volunteer. The suggested MDNN estimates the unknown relationship between the information instances and suggests the most-likely word that the user wants mentioning. The proposed MDNN satisfactory classifies over 95% a set of words obtained from the suggested EEG study in which, the users have to watch four different geometric figures on a screen.
AB - This manuscript proposes the design of a speech synthesis algorithm based on measured electroencephalographic (EEG) signals previously classified by a class of neural network with continuous dynamics. A novel multilayer differential neural network (MDNN) classifies a database with the EEG studies of 20 volunteers. The database contains information described by input-output pairs corresponding to EEG signals and a corresponding word imagined by the volunteer. The suggested MDNN estimates the unknown relationship between the information instances and suggests the most-likely word that the user wants mentioning. The proposed MDNN satisfactory classifies over 95% a set of words obtained from the suggested EEG study in which, the users have to watch four different geometric figures on a screen.
KW - EEG signal analysis
KW - EEG signal processing
KW - Speech synthesis
KW - multilayer differential neuralnetworks
KW - pattern classifier
UR - http://www.scopus.com/inward/record.url?scp=85121695720&partnerID=8YFLogxK
U2 - 10.1080/01969722.2021.2008685
DO - 10.1080/01969722.2021.2008685
M3 - Artículo
AN - SCOPUS:85121695720
SN - 0196-9722
VL - 53
SP - 126
EP - 140
JO - Cybernetics and Systems
JF - Cybernetics and Systems
IS - 1
ER -