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 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.
Authors:
Wedekind, Stephen; Fraundorf, P.
Affiliation:
University of Missouri - St. Louis, St. Louis, MO, USA
AES Convention:
141 (September 2016)
Paper Number:
9647
Publication Date:
September 20, 2016
Subject:
Signal Processing
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