Some of the recent studies which are focused more on using the Artificial Intelligence neural networks to generate the audio output from the brains signals have shown some of the promising results, which is named by producing the identifiable sounds up to the 80% of the time. Some of the participants in the studies first have their brain signals which are measured while they were either reading aloud or listening to some of the specific words. All the data was then given to a neural network to "learn" some of the new things to interpret the brain signals after which the final sounds were reconstructed for the listeners to identify. These results also represent some of the hopeful prospects for the field of the brain-computer interfaces, where the thought based on the communication is quickly moving from the realm of the science fiction to reality. The idea of connecting the human brains to the computer is much far from the new one.

Epilepsy patients with electrode implants have aided efforts to decipher speech. For many people who are paralyzed and unable to speak, signals of what they'd like to say hide in their brains. No one has been able to decipher those signals directly. But three research teams recently made progress in turning data from electrodes surgically placed on the brain into computer-generated speech. Using computational models known as neural networks, they reconstructed words and sentences that were, in some cases, intelligible to human listeners.

For many people who are paralyzed and unable to speak, signals of what they'd like to say hide in their brains.