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  17.06.2026 15:40 Алла Авдеева

  UC Davis develops brain computer, helps man with ASL speak in real time
  
  Калифорнийский университет в Дейвисе разработал интерфейс "мозг-компьютер", который помогает человеку с нарушениями речи говорить на языке жестов в реальном времени.
  
  Больше: https://sinonim.org/perevod#res
  (FOX40.COM) — Possible new hope has flourished for those who have lost the ability to speak after researchers at the University of California, Davis developed an investigational brain-computer interface that helps restore the ability to hold real-time conversations.
  
  The new technology is able to translate the brain activity of the person attempting to speak into a voice, according to researchers in a new study published in the scientific journal Nature.
  
  The study participant, who has amyotrophic lateral sclerosis, was able to speak to his family, change his intonation and even "sing" simple melodies. UC Davis Health said that the system's digital vocal tract has no detectable delays.
  
  "Translating neural activity into text, which is how our previous speech brain-computer interface works, is akin to text messaging. It's a big improvement compared to standard assistive technologies, but it still leads to delayed conversation. By comparison, this new real-time voice synthesis is more like a voice call," said Sergey Stavisky, senior author of the paper and an assistant professor in the UC Davis Department of Neurological Surgery.
  
  (FOX40.COM) — Новая надежда появилась для тех, кто потерял способность говорить: исследователи из Калифорнийского университета в Дэвисе разработали экспериментальный интерфейс «мозг-компьютер», который помогает восстановить возможность вести разговоры в реальном времени.
  
  По данным ученых в новом исследовании, опубликованном в научном журнале Nature, новая технология способна преобразовывать мозговую активность человека, пытающегося говорить, в голос.
  
  Участник исследования, страдающий боковым амиотрофическим склерозом, смог общаться с семьей, менять интонацию и даже «петь» простые мелодии. В UC Davis Health отметили, что цифровой голосовой тракт системы не имеет заметных задержек.
  
  «Преобразование нейронной активности в текст, как работает наш предыдущий интерфейс мозг-компьютер для речи, похоже на обмен текстовыми сообщениями. Это большое улучшение по сравнению со стандартными вспомогательными технологиями, но все же приводит к задержкам в разговоре. В отличие от этого, новый синтез голоса в реальном времени больше похож на голосовой звонок», — сказал Сергей Стависки, старший автор статьи и доцент кафедры нейрохирургии Калифорнийского университета в Дэвисе.
  
  Больше: https://sinonim.org/perevod#res
  Stavisky went on to say that with the use of instantaneous voice synthesis, neuroprosthesis users will be able to be more interactive and included in conversations.
  
  The clinical trial at UC Davis, BrainGate2, used an investigational brain-computer interface that consists of surgically implanting four microelectrode arrays into the area of the brain that produces speech.
  
  The firing pattern of hundreds of neurons was measured through electrodes, followed by the alignment of the patterns with the attempted speech sound the participant was producing.
  
  The activity of neurons in the brain is recorded and then sent to a computer that interprets the signals to reconstruct voice, researchers said.
  
  "The main barrier to synthesizing voice in real-time was not knowing exactly when and how the person with speech loss is trying to speak," said Maitreyee Wairagkar, first author of the study and project scientist in the Neuroprosthetics Lab at UC Davis. "Our algorithms map neural activity to intended sounds at each moment of time. This makes it possible to synthesize nuances in speech and give the participant control over the cadence of his BCI-voice."
  
  The neural signals of the participant were translated into audible speech in one-fortieth of a second, according to the study.
  
  "This short delay is similar to the delay a person experiences when they speak and hear the sound of their own voice,' said officials.
  
  The participant was also able to say words unknown to the system, along with making interjections. He was able to modulate the intonation of his generated computer voice to ask a question or emphasize specific words in a sentence.