< img src = "/uploads/blogs/36/45/IB-1ino3ro7j_a163F55." ALT = "A woman's brain implant turns her thoughts into a real-time language"/> < p > American researchers & nbsp; developed & nbsp; innovative brains-computer & Rsquo; Rsquo; Emergency Interface that allowed a woman who lost the ability to speak through a stroke of the brain trunk almost two decades ago, to turn their own words into words. speech.
< H2 > Overcoming the Bar & Rsquo; Era of Time to Brainstorm-Company; Rsquo; Rsquo; Emergency Interfaces ~ < P > Traditional Brainstorms & Amp; Rsquo; Emergency Interfaces have significant restrictions. Most existing methods take time to process the whole text. This creates a noticeable delay between thought and its voice.
< p >Such delay makes communication unnatural and causes discomfort. & Amp; nbsp; < strng > The new method analyzes brain activity with only 80 milliseconds, which is 8 times faster than previous technologies. & continuous.
< P > California University Researchers in Berkeley and San Francisco emphasize the importance of speed. & Amp; nbsp; < em > & ldquo; improvement Communication & Rdquo; , & ndash; They indicate in their report.
< P > A team under the guidance of an engineer-computer & Rsquo; RSQUO; Emernik Kilo Litljon understood the complexity of the task. After all, the problem & nbsp; < em > & ldquo; complicated by the fact that language synthesis requires extra time for reproduction, as well as for the user and listener to understand the synthesized audio & rdquo; . < h2 >Innovative approach to system learning
< P > Another restriction of previous systems was the need for training. They needed & ldquo; speaker & Rdquo;, which repeated vocal movements. This created difficulties for people without speech experience or with speech violations.
< p > The new approach uses a flexible neural network of deep learning. The system studied on the basis of sensorimotor activity of the cerebral cortex of a 47-year-old participant. She silently & ldquo; spoke & Rdquo; 100 unique sentences from its vocabulary containing more than 1000 words.
< P > Researchers also developed an auxiliary form of communication. It was based on 50 phrases using a smaller set of words. This double strategy has provided better results.
< p >It is important that the process did not require the participant to try to speak aloud. She simply spoken the sentence. This is a significant advantage for people who have never had speech experience.
< h2 > impressive results and prospects
< P > The results were significant in several parameters. The average number of words translated per minute was almost twice as high as in previous methods. This is a significant increase in communication speed.
< P > The predicative method that translates thoughts in real time has provided a more natural flow of speech. & Amp; nbsp; < strong > The system was even able to interpret the neuronal signals of words that it did not train specifically. to expand vocabulary in the future.
< p >Particularly striking is that the synthesized voice sounded as a participant's own voice. This was made possible by the synthesis program based on previous records of its speech to stroke. This approach returns not only the ability to communicate but also part of a person's identity.
< P > The authors of the study recognize that technology needs improvement. Although the language was legible, it was still lagging behind the methods that decrypt the text. However, rapid progress in this field gives grounds for optimism.
< H2 > Value for people with speech disorders
< P > for people who have lost their ability to speak through diseases such as lateral amyotrophic sclerosis or lesions of the nervous system, this technology opens new opportunities. It offers the way to restore natural communication.
< P > The ability to communicate without a noticeable delay has a deep psychological impact. It allows you to participate in the conversation almost in the same way as people without speech disorders. This reduces the sense of isolation and improves quality of life.
< P > Technology also demonstrates the huge potential of the brainstorm & RSQUO; RSQUO; She confirms that our brain continues to generate signals for speech even after the physical ability to speak is lost. This opens the way for other BCI applications in medicine.
< P > A study published in Nature Neuroscience is an important step in neurotechnology. It brings us closer to the future where the loss of physical abilities will not mean the loss of the ability to communicate.