I am currently working on feature extraction contour plots pof the log filter energies of an audio file. I was going to to train my CNN using static, delta ,delta_delta but as ai concatenated them, and made the plot i realised things looked a bit different. static:delta:delta_delta:static + delta + delta_deltasince the range for each plot is different, will the overall range shown in last plot be different, and the complete plot [static delta delta_delta] will not be the same as the were shown individually... There isn't as much color dynamic (my opinion) as in the individual ones, will this somehow affect the performance of the CNN, and if so? how? and if bad can the effect somehow be minimized? 
Performance of CNN given these input images
visualization;convnet;convolution