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November 13, 2020 06:07 pm
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/R8X7MTGgT1c/googles-soundfilter-ai-separates-any-sound-or-voice-from-mixed-audio-recordings
Google's SoundFilter AI Separates Any Sound or Voice From Mixed-Audio Recordings
Researchers at Google claim to have developed a machine learning model that can separate a sound source from noisy, single-channel audio based on only a short sample of the target source. In a paper [PDF], they say their SoundFilter system can be tuned to filter arbitrary sound sources, even those it hasn't seen during training. From a report: The researchers believe a noise-eliminating system like SoundFilter could be used to create a range of useful technologies. For instance, Google drew on audio from thousands of its own meetings and YouTube videos to train the noise-canceling algorithm in Google Meet. Meanwhile, a team of Carnegie Mellon researchers created a "sound-action-vision" corpus to anticipate where objects will move when subjected to physical force. SoundFilter treats the task of sound separation as a one-shot learning problem. The model receives as input the audio mixture to be filtered and a single short example of the kind of sound to be filtered out. Once trained, SoundFilter is expected to extract this kind of sound from the mixture if present.Read more of this story at Slashdot.
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/R8X7MTGgT1c/googles-soundfilter-ai-separates-any-sound-or-voice-from-mixed-audio-recordings
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