Abstract: An apparatus including a multi time-frequency resolution convolution neural network module; a two dimensional convolution neural network layers module; and a discriminative fully-connected classifier layers module; wherein the multi time-frequency resolution convolution neural network module receives a raw speech signal from a human speaker and processes the raw speech signal to provide a first processed output in the form of multiple multi time-frequency resolution spectrographic feature maps; wherein the two dimensional convolution neural network layers module processes the first processed output to provide a second processed output; and wherein the discriminative fully-connected classifier layers module processes the second processed output to provide a third processed output, wherein the third processed output provides an indication of an identify of a human speaker or provides an indication of verification of the identify of a human speaker.