We’ve come a long way when it comes to noise isolation used in headphones and earbuds. The Active Noise Cancellation technology employed in current-generation audio accessories has reached a level that allows for adaptive ANC levels depending on the ambient noise environment. A handful of brands even go the distance to implement turning on transparency mode automatically when someone is talking to you. That’s a novelty, but still, you’ll hear the voices of other people in the vicinity if you are in a crowded environment.
That could change with an innovation that aims to eliminate any unwanted voices in the conversation. For instance, when you are talking to your pal on the street, you’ll only hear his voice, and all the other voices of people will be muted out. This innovation will not be helpful as a daily driver, but it will assist people with hearing impairments in hearing better. The initial prototype developed by the group of researchers at the University of Washington is known as the proactive hearing assistant,” and it filters the conversation partner’s voice only and looks promising.
Designer: University of Washington
The AI-powered headphones do all the filtering automatically without any manual input which is a potent functionality current-gen headphones can hugely benefit from. The speech isolating technology suppresses the voices that don’t match the pattern of turn-taking conversation. The AI model on board keeps a tab on the timing patterns and filters out anything that doesn’t fit. Application of this exciting tech could not only be limited to audio accessories and hearing aids but also come integrated with wearable tech like smart glasses or VR headsets. The most practical implementation could come in handy at crowded places where you have to really focus on the person in conversation.
According to Senior author Shyam Gollakota, “Our insight is that when we’re conversing with a specific group of people, our speech naturally follows a turn-taking rhythm. And we can train AI to predict and track those rhythms using only audio, without the need for implanting electrodes.” The current prototype supports one wearer and up to four other people which is impressive. More so when you factor in the lag-free overall experience. Currently, the team is testing two different models of the iteration: one that runs a “who spoke when” check to look for any overlap between the speakers, identifying who’s speaking when. The second model cleans the raw signal and then feeds real-time isolated audio to the user. The latter, so far, has scored well with the 11 participants in the study.
Currently, these basic over-ear headphones are loaded with extra microphones, and the team is working on slimming down the size. In conjunction with the research that is going on, small chips are being developed that run these AI models, so that they can be fitted inside hearing aids or earbuds. So, are we ready for a future where intelligent hearing is part of our daily drive?
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