Google open-sources data set to train and benchmark AI sound separation models

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Google today announced the release of a new data set — the Free Universal Sound Separation data set, or FUSS for short — intended to support the development of AI models that can separate distinct sounds from recording mixes. The use cases are potentially endless, but if it were to be commercialized, FUSS could be used in corporate sett…Read More

via VentureBeat

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