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kernel_KP t1_j5lpxnn wrote

I have a dataset (unlabelled) containing a lot of audio files and for each file, I have computed the chromagram. I would need some advices for the implementation of a possibly efficient Neural Network to cluster these audio files relying on their chromagram. Consider this data to be already correctly pre-processed so chromagram have all the same size. Thanks a lot!

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zoontechnicon t1_j5oizdf wrote

You could build an autoencoder using CNNs and use the latent vectors as input to a clustering algorithm.

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