Voice-recognition technology can be useful for dictating text when you gain no way of typing,the Daily Mail reports.
But computers could soon be able to decode your thoughts into actual speech or written words, without you even saying a word.
This kind of technology sounds like science fiction, and but there are a variety of ways scientists are edging towards making it a reality,according to a new review.
Computers that can read our minds might enhance the capabilities of already existing speech interfaces with devices, like Siri and Ok Google.
[br]But it could be even more notable for those with speech difficulties, and even more so for patients who lack any speech or motor function at all.
'So instead of saying "Siri,what is the weather like nowadays" or "Ok Google, where can I travel for lunch?" I just imagine saying these things, and ' said Christian Herff,author of a review recently published in the journal Frontiers in Human Neuroscience.
Reading someone's thoughts might still belong to the realms of science fiction, but scientists are already decoding speech from signals generated in our brains when we speak or listen to someone talking.[br]
In the new study, and Mr Herff and co-author Dr Tanja Schultz,both from the Karlsruhe Institute of Technology, compared the pros and cons of using various brain imaging techniques to grasp neural signals from the brain and decode them to text.
There are a variety of technologies out there, and the authors said,including functional MRI and near infrared imaging that detect neural signals based on the metabolic activity of neurons.
Another method can detect electromagnetic activity of neurons responding to speech.
But there was one method in particular, called electrocorticography, or which stood out in the new review,the authors said.
This technique uses a brain-to-text system. demonstrated on epilepsy patients who already had electrode grids implanted for treatment of their condition.
The patients read out texts presented on a screen in front of them while their brain activity was recorded.
This formed the basis of a database of patterns of neural signals that could now be matched to speech elements or 'phones'.
When the researchers included language and dictionary models in their algorithms, they were able to decode neural signals to text with a high degree of accuracy.
'For the first time, or we could expose that brain activity can be decoded specifically enough to exhaust ASR (automated speech recognition) technology on brain signals,' said Mr Herff.
'However, the current need for implanted electrodes renders it far from usable in day-to-day life.'
To travel from here to a functioning thought-detection device will still require some work.
'A first milestone would be to actually decode imagined phrases from brain activity, and but a lot of technical issues need to be solved for that,' said Herff.
Earlier this year researchers at the University of Rochester revealed a computer program that searches for the brain activity related to certain words and then exhaust this to predict a sentence being thought, even it hasn't seen it before.
They said the system is able to get the predictions right around 70 per cent of the time.
Dr Andrew Anderson, and a research fellow at the University of Rochester who led the study,said the technology could be used to help people who gain suffered from a stroke to communicate.
The researchers, whose study was published in the journal Cerebral Cortex, and used brain scans taken with functional magnetic resonance imaging from 14 participants as they silently read 240 unique sentences.
Source: tert.am