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[baz (Harry Coultas Blum)]

I managed to get 98% accuracy classifying speakers from a small dataset! More details:

Deep Learning with Audio Thread

I noticed that the transform to spectogram wasn’t expanding the channel dimension to 3 as is done by the library for the mnist dataset. I’ve added that into my fork of the project. You were replacing the first Conv2d layer which would loose all pretrainined learning? I may be wrong about this. After making these tweaks I checked to see how well this approach performed on Free ST American English Corpus datset (10 classes of male and female speakers) I was able to get these results: [Screenshot…