The DSP is holding back the NeuroNet

So, on the most complicated #Machine Learning engines of #Humangnify, the DSP that is converting audio to Fourrier transform histogram is holding back the performance of the voice recognition. By restructuring the code a little, I think I can improve the speed and free it from the DSP gate. I really want to post all of the CoreML engines at one, I probably need one more day to get this done right.

Thanks for your patience.