Brain Computer Interface for Speech Synthesis Based on Multilayer Differential Neural Networks. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Llorente, Dusthon; Ballesteros, Mariana; Cruz-Ortiz, David; Salgado, Ivan; Chairez, Isaac
• Is Part Of: Cybernetics and systems. Volume 53:Issue 1(2022)
• Page Start: 126
• Page End: 140
• Publication Date: 2022-01-02
• Subjects: Speech synthesis -- pattern classifier -- multilayer differential neuralnetworks -- EEG signal analysis -- EEG signal processing; Cybernetics -- Periodicals; System theory -- Periodicals; 003.5
• DOI: 10.1080/01969722.2021.2008685
• Languages: English
• ISSNs: 0196-9722

Abstract

Abstract: 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.