Comments (2)
perhaps this is because the wave is analysed "continuously
yes, that's pretty much the idea. the NN is not "bar-aware", it simply chunks audio into ~50ms segments, which are further grouped together into chunks of ~6 second non-overlapping segments. Each 6 second segment is an input to the NN, which provides an output of a chord label for each 50ms segment of this 6-second group. Any contiguous chord label are merged together as label for a longer segment e.g. 20 contiguous label of Am
is combined into a single Am
label for a longer segment of 1000ms. You can say that we let these chord labels tell us where the bars are, instead of the other way around.
could it be made to analyse segments that are aligned with bars instead
this sounds like a nice improvement! one way I can think of is to use a Bar estimation algorithm (I don't have much experience with this, so I couldn't recommend one, but maybe popular libraries e.g. Essentia will have something of the sort), run the NN on the bar, then pick-out the most prominent chord from the NN output as the single chord label for the bar.
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Hi CJ, thanks for your explanation :) it helped me understand your code a little bit better, allowing me to implement a basic version of bar based guessing.
Made PR #6, hope you will like it :)
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