I like to work with a convolutional neural network in combination with a spectrogram as input.
Assuming the spectrogram has the dimensions $T\times F$ (time$\times$frequency). Is it more natural to see the spectrogram as a 1D image with $F$ channels and the size $T\times 1$ or as a 2D image with the size $T\times F$?
Depending on this I work with 1D convolutions or with 2D convolutions. But I'm not sure whats the more natural way.
Thank you very much