Their developments are headphones that use deep learning algorithms that allow users to choose in real time which sounds are sent through the headphones.
This system, called “semantic listening”, represents a significant advance in noise reduction technology.
The headphones transmit the captured audio signal to the connected smartphone, which filters out all surrounding sounds. Users can choose which sounds to turn on using voice commands or the smartphone app.
The system can recognize up to 20 different classes of sounds, including sirens, crying babies, speech, vacuum cleaners and birds chirping. Only selected sounds will be played through the headphones.
The researchers presented their developments at the UIST ’23 conference in San Francisco on November 1. They plan to release a commercial version of the system in the future.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
