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Columbia Engineers Translate Brain Signals Directly into Speech

Posted on January 30, 2019
Advance marks critical step toward brain-computer interfaces that hold immense promise for those with limited or no ability to speak.

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.

These findings were published in Scientific Reports.

This would be a game changer. It would give anyone who has lost their ability to speak, whether through injury or disease, the renewed chance to connect to the world around them.

Dr. Mesgarani

Decades of research has shown that when people speak — or even imagine speaking — telltale patterns of activity appear in their brain. Distinct (but recognizable) pattern of signals also emerge when we listen to someone speak, or imagine listening. Experts, trying to record and decode these patterns, see a future in which thoughts need not remain hidden inside the brain — but instead could be translated into verbal speech at will.

But accomplishing this feat has proven challenging. Early efforts to decode brain signals by Dr. Mesgarani and others focused on simple computer models that analyzed spectrograms, which are visual representations of sound frequencies.

Schematic of the speech reconstruction method. Credit: nature.com

But because this approach has failed to produce anything resembling intelligible speech, Dr. Mesgarani and his team, including the paper’s first author Hassan Akbari, turned instead to a vocoder, a computer algorithm that can synthesize speech after being trained on recordings of people talking.

“This is the same technology used by Amazon Echo and Apple Siri to give verbal responses to our questions,” said Dr. Mesgarani.

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

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