Brain-computer interface for synthesized speech communication

Abstract

Brain Computer Interface (BCI) systems have been widely used to develop viable assistive technology to address physical inability in e.g., speech impaired people. This project aims to design and develop a BCI-based system for generation of synthesized speech, which works by acquiring Electroencephalogram (EEG) signals of the user and following the event-related potential phenomenon. The user is provided with a P300 screen, patient focuses on the word which he wants to spell. Such a system is particularly useful for patients suffering from motor neuron disorders, who can use this interface to communicate with their caretakers. This system enables patients to communicate by thinking a particular word on a P300 screen, which is then converted to synthesized speech by a text-to-speech API.