An Approach on BCI based Silent Speech Interface for Automatic Speech Recognition

Paralysis is the loss of muscle function in a part of the body. It occurs when the transmission of messages between brain and muscles is disrupted. Approximately 5.4 million people have some form of paralysis. . Depending on the site of the damage, paralysis may be accompanied by a lack of sensation. The majority of paralysis is caused by strokes or spinal cord injury. The Brain computer interface (BCI) is an interface between the Brain and the computer. It is an emerging field wherein it’s a fast-growing emerging technology, in which researchers acquire data in the form for signals by using various sensors. It uses artificially produced electrical signals to stimulate the brain, transfer sensory information to the brain, or restore sensory function. Motor speech dysfunction paralyzes people and prevents them from speaking. Since paralyzed people are unable to speak or move, it is very difficult to fulfill the basic requirements. One way to approach the problem of voice recognition using brain waves is to quantify the brain signals from an individual human being. By examining the EEG signals from an individual person, and to investigating the feasibility of detecting syllable level units.