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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.
Author (s): Wedekind, Stephen; Fraundorf, P.
Affiliation:
University of Missouri - St. Louis, St. Louis, MO, USA
(See document for exact affiliation information.)
AES Convention: 141
Paper Number:9647
Publication Date:
2016-09-06
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Session subject:
Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=18451
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Wedekind, Stephen; Fraundorf, P.; 2016; Log Complex Color for Visual Pattern Recognition of Total Sound [PDF]; University of Missouri - St. Louis, St. Louis, MO, USA; Paper 9647; Available from: https://aes2.org/publications/elibrary-page/?id=18451
Wedekind, Stephen; Fraundorf, P.; Log Complex Color for Visual Pattern Recognition of Total Sound [PDF]; University of Missouri - St. Louis, St. Louis, MO, USA; Paper 9647; 2016 Available: https://aes2.org/publications/elibrary-page/?id=18451