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Thinking about data augmentation for the Cocktail Party Problem, especially underwater. One of the challenges we are going to need to tackle is sound propagation underwater... top and bottom surfaces, salinity, depth, temperature, water kinetics are all going to effect the propagation of sound and complicate solving CPP for cetaceans.
One form of data augmentation might be to simulate the propagation of vocalizations/whistles in a variety of conditions, which will gives us a much broader test set that (hopefully) models the distributions we'd expect to see experimentally.
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Thinking about
data augmentation
for the Cocktail Party Problem, especially underwater. One of the challenges we are going to need to tackle is sound propagation underwater... top and bottom surfaces, salinity, depth, temperature, water kinetics are all going to effect the propagation of sound and complicate solving CPP for cetaceans.One form of data augmentation might be to simulate the propagation of vocalizations/whistles in a variety of conditions, which will gives us a much broader test set that (hopefully) models the distributions we'd expect to see experimentally.
E.g.,
cc @pcbermant
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