  While traditional audio visualization methods depict amplitude intensities
vs. time, such as in a time-frequency spectrogram, and while some may use
complex phase information to augment the amplitude representation, such as in a
reassigned spectrogram, the phase data are not generally represented in their
own right. By plotting amplitude intensity as brightness/saturation and
phase-cycles as hue-variations, our complex spectrogram method displays both
amplitude and phase information simultaneously, making such images canonical
visual representations of the source wave. As a result, the original sound may
be precisely reconstructed (down to the original phases) from an image, simply
by reversing our process. This allows humans to apply our highly developed
visual pattern recognition skills to complete audio data in new way.
