Saturday March 23, 2019
Home Lead Story New AI-Enable...

New AI-Enabled Software May Translate Thoughts Into Speech

Mesgarani and his team planned to test more complicated words and to run the same tests on brain signals emitted when a person speaks or imagines speaking.

0
//
Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

US engineers developed an Artificial Intelligence (AI)-enabled
system that can translate brain signals into intelligible speech, a breakthrough that may help those who cannot speak to communicate with the outside world.

The study, led by Columbia University researchers, showed that by monitoring one’s brain activity, an AI-enabled technology can reconstruct words a person hears with unprecedented clarity, Xinhua news agency reported.

A team of neuroscientists from the varsity trained a voice synthesiser or vocoder to measure brain activity patterns of epilepsy patients already undergoing surgery while those patients listened to sentences spoken by different people.

AI has the potential to increase India's annual growth.
AI has the potential to increase India’s annual growth. pixabay

Those patients listened to speakers reading digits between zero to nine while recording brain signals via the vocoder.

Then, they used a neural network, a type of artificial intelligence, to analyse the signals, and gave robotic-sounding voices, according to the study published in the journal Scientific Reports.

“We found that people could understand and repeat the sounds about 75 per cent of the time, which is well above and beyond any previous attempts,” said Nima Mesgarani from the varsity.

Artificial intelligence
The study, led by Columbia University researchers, showed that by monitoring one’s brain activity, an AI-enabled technology can reconstruct words a person hears with unprecedented clarity Artificial intelligence, wikimedia

Also Read: JLF Panel Examine The Future Of AI

Previous research showed that when people speak or even imagine speaking, distinct patterns of activity take place in their brain and those pattern of signals also emerge when we listen to someone speak or imagine listening.

Mesgarani and his team planned to test more complicated words and to run the same tests on brain signals emitted when a person speaks or imagines speaking.

Mesgarani called it a “game changer” that may give anyone who has lost their ability to speak a new chance to connect to the outside world. (IANS)

Next Story

Google Claims Eye Doctors Can Turn More Effective Using AI

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm. 

0
google
The research team at Google AI believes that some of these pitfalls may be avoided if the computer can "explain" its predictions. Pixabay

As Artificial Intelligence (AI) continues to evolve, diagnosing diseases has become faster with greater accuracy. A new study from the Google AI research group shows that physicians and algorithms working together are more effective than either one alone.

In the study, to be published in the journal Ophthalmology, the researchers created a system which not only improved the ophthalmologists’ diagnostic accuracy but also improved the algorithm’s accuracy.

The study expands on previous work from Google AI showing that its algorithm works roughly as well as human experts in screening patients for a common diabetic eye disease called diabetic retinopathy.

eyes
To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance. Pixabay

“What we found is that AI can do more than simply automate eye screening, it can assist physicians in more accurately diagnosing diabetic retinopathy. AI and physicians working together can be more accurate than either one alone,” said lead researcher Rory Sayres.

Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said.

According to the team, previous attempts to use computer-assisted diagnosis shows that some screeners rely on the machine too much, which leads to repeating the machine’s errors, or under-rely on it and ignore accurate predictions.

The research team at Google AI believes that some of these pitfalls may be avoided if the computer can “explain” its predictions.

web
Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said. Pixabay

To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance.

Also Read: U.S. Government Human Rights Report Shows ‘Amber’ Warning Light Situation in Hong Kong

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm.

With assistance, general ophthalmologists match but do not exceed the model’s accuracy, while retina specialists start to exceed the model’s performance. (IANS)