Google works out a fascinating, slightly scary way for AI to isolate voices in a crowd
by Jeff Dunn from Ars Technica - All content on (#3MP3Q)

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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