AI to convert brain signals of speechimpaired persons into English language

Indian Institute of Technology Madras Researchers have developed an Artificial Intelligence technology to convert brain signals of speech impaired humans into Language.

The other major application for this field of research is that the researchers can potentially interpret nature’s signals such as like plant photosynthesis process or their response to external forces.

A team of researchers lead by Dr. Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering, IIT Madras, is working on this area of research.

Electrical signals, brain signal or any signal, in general, are waveforms which are decoded to meaningful information using physical law or mathematical transforms such as Fourier Transform or Laplace transform. These physical laws and mathematical transforms are sciencebased languages discovered by renowned scientists such as Sir Isaac Newton and Jean-Baptiste Joseph Fourier.

Elaborating on this Research, Dr. Vishal Nandigana, the lead researcher, said, “The output result is the ionic current, which represents the flow of ions which are charged particles. These electrically driven ionic current signals are worked on to be interpreted as human language meaning speech.

This would tell us what the ions are trying to communicate with us. When we succeed with this effort, we will get electrophysiological data from the neurologists to get brain signals of speech impaired humans to know what they are trying to communicate.”

Further, Dr. Vishal Nandigana said, “The other major application of this field of research we see potentially is, can we interpret nature’s signals, like plant photosynthesis process or their response to external forces mean when we collect their real data signal.

The data signal also, we believe, is going to be in some wave like pattern with spikes, humps and crusts. So the big breakthrough will be can we interpret what plants and nature is trying to communicate to us. ”

Brain signals are typically electrical signals. These are wave like patterns with spikes, humps and crusts which can be converted into simple human language meaning speech using AI.