Publication/Creation Date

January 29 2019

Creators/Contributors

Columbia University Mortimer B. Zuckerman Mind Brain Behavior Institute (contributor)
Nima Mesgarani (contributor)
Ashesh Dinesh Mehta (contributor)
Bahar Khalighinejad (contributor)
Jose L. Herrero (contributor)
Hassan Akbari (contributor)
National Institutes Of Health (NIH) (contributor)
Anne Holden (creator)

Description

In a scientific first, Columbia neuroengineers have created a system that translates thought into intelligible, recognizable speech. By monitoring someone’s brain activity, the technology can reconstruct the words a person hears with unprecedented clarity. This breakthrough, which harnesses the power of speech synthesizers and artificial intelligence, could lead to new ways for computers to communicate directly with the brain. It also lays the groundwork for helping people who cannot speak, such as those living with amyotrophic lateral sclerosis (ALS) or recovering from stroke, regain their ability to communicate with the outside world.

Augments

Communicating, Speaking, Improving, Imagining, Thinking, Listening, Connecting

Technology Keywords

Brain-Computer Interface (BCI), Artificial Intelligence (AI), Speech Synthesis, Digital Telepathy, Algorithms , Neural Networks

Keywords

Communication, Health, Medical, Amyotrophic Lateral Sclerosis (ALS), Stroke, Brain Function, Research, Epilepsy, Speech, Sounds

Marketing Keywords

Vocorder, Apple Siri, Amazon Echo

Source

https://zuckermaninstitute.columbia.edu/columbia-engineers-translate-brain-signals-directly-speech