Enlarge / One voice is amplified, the other is muted. (credit: YouTube)
Google researchers have developed a deep-learning system designed to help computers better identify and isolate individual voices within a noisy environment.
As noted in a post on the company’s Google Research Blog this week, a team within the tech giant attempted to replicate the cocktail party effect, or the human brain’s ability to focus on one source of audio while filtering out others—just as you would while talking to a friend at a party.
Google’s method uses an audio-visual model, so it is primarily focused on isolating voices in videos.

The company posted a number of YouTube videos showing the tech in action:
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