[…] The scientists developed real-time machine-learning algorithms that could examine the brainwaves and identify which conversation the patients were paying attention to. Once deployed, their system could rapidly deduce which conversation each listener was paying attention to and make it easier for them to hear it. This happened both when the researchers guided the subjects toward a particular conversation, and when the subjects chose freely, as would be necessary in a real-world conversation. “For this to work in real time, the system has to be very fast, accurate and stable for the experience to feel pleasant for the listener,” Dr. Mesgarani said. The scientists found their new system correctly identified which conversation the volunteers paid attention to. This dramatically improved the intelligibility of the speech the volunteers focused on, reduced listening effort, and was consistently preferred by the volunteers when compared to conversations the system did not provide assistance with. One volunteer recalled her uncle, who had hearing problems. “Can you imagine if this technology existed in a world [where] … he could access it? He might actually live a much more peaceful… life.” The research has been published in Nature Neuroscience.
Categories: Leben (Life aka misc)