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Open Access/Content/Data: Free Universal Sound Separation, Open Source Cookbook, OER and GreenLight

Submitted by Roy Schestowitz on Sunday 12th of April 2020 05:53:01 PM Filed under
Misc
  • Google open-sources data set to train and benchmark AI sound separation models

    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 settings to extract speech from conference calls.

  • Find and Share New Recipes With This Open Source Cookbook

    Cooking at home is one of the few activities that most of the population can engage in right now, which means it has taken on even more significance than usual. It is not enough to feed your body (so you go on living), you must nourish, you must uplift, you must connect. But all of this important cooking could very well lead to recipe fatigue, which is why this straightforward open source cookbook is (to me, at least) a gust of fresh air.

  • UI faculty create open-source materials to save students money, better serve class needs

    From audio exercises to practice recognizing and pronouncing American English sounds to a textbook about global aging, developing and promoting the use of open educational resources (OER) is yet another creative way the University of Iowa is helping decrease college costs for students.

  • An open source model for greenhouses with supplemental lighting

    The model is freely available as open source MATLAB software at https://github.com/davkat1/GreenLight. It is hoped that it may be further evaluated and used by researchers worldwide to analyse the influence of the most recent lighting technologies on greenhouse climate control.

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