I have been experimenting with classifying raw audio samples using temporal convolutions and RNNs. Recently I did an experiment where I just replaced all layers with Dense layers(Keras) and took out all other layers. Surprisingly it did quite well on validation and test data and trained very fast.

Why did this work? It’s only classifying one second of audio data sampled at 8khz. Can fully connected networks model sequential data ? Or is there something wrong with my experiment/setup?

TL;DR Can FCN classify sequential data ?