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The presentation of this project alone is a visual tour de force to say nothing of the technical quality. Beautiful and easily digestible post. As with any inte
by plaidfuji 8y ago
The presentation of this project alone is a visual tour de force to say nothing of the technical quality. Beautiful and easily digestible post. As with any interesting, non-toy applied ML problem, the dataset generation is really where the innovation is. It gets a neat little graphic at the end. As far as how the author characterizes the problem, I think the word he's looking for is "semantic segmentation" - he's trying to classify each pixel of the spectrograph as vocal/non-vocal. I'd be curious if he could drop the dataset into pix2pix-style networks and achieve the same results.