<story><title>The Sound of Pixels</title><url>http://sound-of-pixels.csail.mit.edu/</url></story><parent_chain></parent_chain><comment><author>a-dub</author><text>Interesting.  I wonder how well a logistic regression that spits out masks would perform in the source separation task.&lt;p&gt;Also a bit surprising to see that they had to STFT the audio before feeding it into a convnet.  I thought half the point of convnets was that they figure out how to do spectral domain representations on their own...</text></comment>
<story><title>The Sound of Pixels</title><url>http://sound-of-pixels.csail.mit.edu/</url></story><parent_chain></parent_chain><comment><author>rflrob</author><text>I haven’t tried my hand at any machine learning, but I’m impressed that it could work with only 60 hours of training data. Perhaps the input clips were fairly short, which would increase the total number of videos.</text></comment>